From 8469f4fbee0283386ffba4137a026b821e614ee4 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Tue, 3 Feb 2026 13:15:30 -0800 Subject: [PATCH 01/20] cleaning --- bpd/prior.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/bpd/prior.py b/bpd/prior.py index f1cd9166..9906e825 100644 --- a/bpd/prior.py +++ b/bpd/prior.py @@ -10,6 +10,10 @@ inv_shear_transformation, ) +_grad_fnc1 = vmap(vmap(grad(inv_shear_func1), in_axes=(0, None)), in_axes=(0, None)) +_grad_fnc2 = vmap(vmap(grad(inv_shear_func2), in_axes=(0, None)), in_axes=(0, None)) +_inv_shear_trans = vmap(inv_shear_transformation, in_axes=(0, None)) + def ellip_mag_prior(e_mag: ArrayLike, sigma: float) -> ArrayLike: """Prior for the magnitude of the ellipticity with domain (0, 1). @@ -43,11 +47,6 @@ def ellip_prior_e1e2(e1e2: Array, sigma: float) -> ArrayLike: return (1 - e_mag**2) ** 2 * jnp.exp(-(e_mag**2) / (2 * sigma**2)) / _norm -_grad_fnc1 = vmap(vmap(grad(inv_shear_func1), in_axes=(0, None)), in_axes=(0, None)) -_grad_fnc2 = vmap(vmap(grad(inv_shear_func2), in_axes=(0, None)), in_axes=(0, None)) -_inv_shear_trans = vmap(inv_shear_transformation, in_axes=(0, None)) - - def interim_gprops_logprior( params: dict[str, Array], *, From 751debe120a80b8c04834499b4a66944a9ae108e Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Tue, 3 Feb 2026 13:15:38 -0800 Subject: [PATCH 02/20] self calibration --- notebooks/jan29-gpu-test.ipynb | 384 +++++++++++++++++++ notebooks/jan29-test-self-calibration.ipynb | 392 ++++++++++++++++++++ 2 files changed, 776 insertions(+) create mode 100644 notebooks/jan29-gpu-test.ipynb create mode 100644 notebooks/jan29-test-self-calibration.ipynb diff --git a/notebooks/jan29-gpu-test.ipynb b/notebooks/jan29-gpu-test.ipynb new file mode 100644 index 00000000..ab3d3465 --- /dev/null +++ b/notebooks/jan29-gpu-test.ipynb @@ -0,0 +1,384 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 18, + "id": "4f293307-5db0-4836-98e2-2cf490d518f0", + "metadata": {}, + "outputs": [], + "source": [ + "from bpd.io import load_dataset\n", + "import jax.numpy as jnp\n", + "from jax import jit\n", + "from bpd.prior import ellip_prior_e1e2\n", + "import jax.scipy as jsp\n", + "\n", + "from jax import Array, grad, vmap\n", + "from jax.numpy.linalg import norm\n", + "from jax.scipy import stats\n", + "\n", + "from functools import partial\n", + "\n", + "import jax \n", + "from bpd.utils import uniform_logpdf\n", + "\n", + "from bpd.chains import run_inference_nuts\n", + "\n", + "import matplotlib.pyplot as plt " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1c95c5c6-0882-40e3-85b0-da8b10ddbc82", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "\n", + "from bpd.shear import (\n", + " inv_shear_func1,\n", + " inv_shear_func2,\n", + " inv_shear_transformation,\n", + ")\n", + "\n", + "_grad_fnc1 = vmap(vmap(grad(inv_shear_func1), in_axes=(0, None)), in_axes=(0, None))\n", + "_grad_fnc2 = vmap(vmap(grad(inv_shear_func2), in_axes=(0, None)), in_axes=(0, None))\n", + "_inv_shear_trans = vmap(inv_shear_transformation, in_axes=(0, None))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "368760e7-f292-4000-a220-0116b461e5cf", + "metadata": {}, + "outputs": [], + "source": [ + "# use a modified version of BA2014 distribution for true prior, add m,c which are inferred jointly\n", + "# with shear\n", + "\n", + "\n", + "\n", + "def true_ellip_logprior(e_post, g, *, sigma_e: float):\n", + " \"\"\"Implementation of GB's true prior on interim posterior samples of ellipticities.\"\"\"\n", + "\n", + " # jacobian of inverse shear transformation\n", + " grad1 = _grad_fnc1(e_post, g)\n", + " grad2 = _grad_fnc2(e_post, g)\n", + " absjacdet = jnp.abs(grad1[..., 0] * grad2[..., 1] - grad1[..., 1] * grad2[..., 0])\n", + "\n", + " # true prior on unsheared ellipticity\n", + " e_post_unsheared = _inv_shear_trans(e_post, g)\n", + " prior_val = ellip_prior_e1e2(e_post_unsheared, sigma=sigma_e)\n", + "\n", + " return jnp.log(prior_val) + jnp.log(absjacdet)\n", + "\n", + "def shear_loglikelihood(\n", + " g,\n", + " post_params,\n", + " *,\n", + " logprior,\n", + " interim_logprior\n", + "):\n", + " \"\"\"Shear Likelihood implementation of Schneider et al. 2014.\"\"\"\n", + " num = logprior(post_params, g)\n", + " denom = interim_logprior(post_params)\n", + " ratio = jsp.special.logsumexp(num - denom, axis=-1)\n", + " return ratio.sum()\n", + "\n", + "def logtarget(\n", + " g,\n", + " data,\n", + " *,\n", + " sigma_e:float,\n", + " sigma_e_int: float,\n", + "):\n", + "\n", + " _logprior = lambda e, g: true_ellip_logprior(e, g, sigma_e=sigma_e)\n", + " _interim_logprior = lambda e: jnp.log(ellip_prior_e1e2(e, sigma=sigma_e_int))\n", + "\n", + " loglike = shear_loglikelihood(g, e1e2, logprior=_logprior, interim_logprior=_interim_logprior)\n", + "\n", + " g_mag = jnp.sqrt(g[0] ** 2 + g[1] ** 2)\n", + " logprior_g = uniform_logpdf(g_mag, 0.0, 1.0) + jnp.log(1 / (2 * jnp.pi))\n", + "\n", + "\n", + " return loglike +logprior_g" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8df24ea9-fe94-44fb-b17f-385bcf28f4d8", + "metadata": {}, + "outputs": [], + "source": [ + "def shear_pipeline(rng_key, init_positions, e1e2, *, logtarget):\n", + " return run_inference_nuts(\n", + " rng_key,\n", + " data=e1e2,\n", + " init_positions=init_positions,\n", + " logtarget=_logtarget,\n", + " n_samples=1000,\n", + " n_warmup_steps=500,\n", + " max_num_doublings=2,\n", + " initial_step_size=1e-3,\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "096ab062-d05e-4e27-b825-a88197576d0b", + "metadata": {}, + "outputs": [], + "source": [ + "samples_file = \"/pscratch/sd/i/imendoza/data/cache_chains/exp70_51/interim_samples_511_plus.npz\"\n", + "ds = load_dataset(samples_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "92a0e4e4-1c42-4e4d-a8b0-31d0668b0597", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(320000, 300)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "e1 = ds['samples']['e1']\n", + "e2 = ds['samples']['e2']\n", + "e1.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "0f18534d-0c07-420c-b2ad-8d31c8a7a320", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(320000, 300, 2)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "e1e2 = jnp.stack([e1,e2],axis=-1)\n", + "e1e2.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "6ddb4b88-987f-494f-80b6-e953aaccee09", + "metadata": {}, + "outputs": [], + "source": [ + "_logtarget = partial(logtarget, sigma_e=0.2,sigma_e_int=0.3)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "783d82a8-22d1-41ec-b6dc-f6e3ab1bceaa", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "pipe = jit(partial(shear_pipeline,logtarget=_logtarget))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "b8dff555-1ae5-4d38-ac4f-3fa74e926fe3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array((), dtype=key) overlaying:\n", + "[ 0 42]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "key = jax.random.key(42)\n", + "key" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "39cc2dc2-d9dd-49b8-a9b2-5c3171273510", + "metadata": {}, + "outputs": [], + "source": [ + "# init_positions = {'m': 0.0, 'c':0.0, 'g':jnp.array([0.02, 0.0]), 'sigma_e':0.2}" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "0b57a3db-2a85-4ac9-9a71-fa72e225e372", + "metadata": {}, + "outputs": [], + "source": [ + "GPU = jax.devices(\"gpu\")[0]\n", + "e1e2 = jax.device_put(e1e2, GPU)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "ae0cfedf-aff5-4110-9d12-fe58c53f0951", + "metadata": {}, + "outputs": [], + "source": [ + "# compile\n", + "_ = pipe(key, jnp.array([0.02, 0.0]), e1e2[:2])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "5a1f2e04-c67a-426f-aa05-200f351a602a", + "metadata": {}, + "outputs": [], + "source": [ + "samples = pipe(key, jnp.array([0.02, 0.0]), e1e2)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "95682a22-287c-49d8-b23e-fa7f51598c17", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(samples[:, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "4937091b-0fcb-4e81-94dd-08dd03fb64b6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(samples[:, 1])" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "efb4bb75-a6ba-4495-b4fc-8e36387b5a30", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(0.01984356, dtype=float64)" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "0.0205 - 2*samples[:,0].std() " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7d5aa218-f24a-4586-b42f-86257537dd0b", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bpd_gpu", + "language": "python", + "name": "bpd_gpu" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/jan29-test-self-calibration.ipynb b/notebooks/jan29-test-self-calibration.ipynb new file mode 100644 index 00000000..8e05d45d --- /dev/null +++ b/notebooks/jan29-test-self-calibration.ipynb @@ -0,0 +1,392 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 18, + "id": "4f293307-5db0-4836-98e2-2cf490d518f0", + "metadata": {}, + "outputs": [], + "source": [ + "from bpd.io import load_dataset\n", + "import jax.numpy as jnp\n", + "from jax import jit\n", + "from bpd.prior import ellip_prior_e1e2\n", + "import jax.scipy as jsp\n", + "\n", + "from jax import Array, grad, vmap\n", + "from jax.numpy.linalg import norm\n", + "from jax.scipy import stats\n", + "\n", + "from functools import partial\n", + "\n", + "import jax \n", + "from bpd.utils import uniform_logpdf\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from bpd.chains import run_inference_nuts" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1c95c5c6-0882-40e3-85b0-da8b10ddbc82", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "\n", + "from bpd.shear import (\n", + " inv_shear_func1,\n", + " inv_shear_func2,\n", + " inv_shear_transformation,\n", + ")\n", + "\n", + "_grad_fnc1 = vmap(vmap(grad(inv_shear_func1), in_axes=(0, None)), in_axes=(0, None))\n", + "_grad_fnc2 = vmap(vmap(grad(inv_shear_func2), in_axes=(0, None)), in_axes=(0, None))\n", + "_inv_shear_trans = vmap(inv_shear_transformation, in_axes=(0, None))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "368760e7-f292-4000-a220-0116b461e5cf", + "metadata": {}, + "outputs": [], + "source": [ + "# use a modified version of BA2014 distribution for true prior, add m,c which are inferred jointly\n", + "# with shear\n", + "\n", + "def ellip_prior_e1e2_calibrated(e1e2, *, sigma, m , c):\n", + " x = (e1e2 - c) / (1+m)\n", + " return jnp.abs(1 / (1+m)) * ellip_prior_e1e2(x, sigma=sigma)\n", + "\n", + "\n", + "def true_ellip_logprior(e_post, g, *, sigma_e: float, m:float, c:float):\n", + " \"\"\"Implementation of GB's true prior on interim posterior samples of ellipticities.\"\"\"\n", + "\n", + " # jacobian of inverse shear transformation\n", + " grad1 = _grad_fnc1(e_post, g)\n", + " grad2 = _grad_fnc2(e_post, g)\n", + " absjacdet = jnp.abs(grad1[..., 0] * grad2[..., 1] - grad1[..., 1] * grad2[..., 0])\n", + "\n", + " # true prior on unsheared ellipticity\n", + " e_post_unsheared = _inv_shear_trans(e_post, g)\n", + " prior_val = ellip_prior_e1e2_calibrated(e_post_unsheared, sigma=sigma_e, m=m, c=c)\n", + "\n", + " return jnp.log(prior_val) + jnp.log(absjacdet)\n", + "\n", + "def shear_loglikelihood(\n", + " g,\n", + " post_params,\n", + " *,\n", + " logprior,\n", + " interim_logprior\n", + "):\n", + " \"\"\"Shear Likelihood implementation of Schneider et al. 2014.\"\"\"\n", + " num = logprior(post_params, g)\n", + " denom = interim_logprior(post_params)\n", + " ratio = jsp.special.logsumexp(num - denom, axis=-1)\n", + " return ratio.sum()\n", + "\n", + "def logtarget(\n", + " params,\n", + " data,\n", + " *,\n", + " sigma_e_int: float,\n", + "):\n", + " g = params['g']\n", + " sigma_e = params['sigma_e']\n", + " m = params['m']\n", + " c = params['c']\n", + "\n", + " _logprior = lambda e, g: true_ellip_logprior(e, g, sigma_e=sigma_e, m=m, c=c)\n", + " _interim_logprior = lambda e: jnp.log(ellip_prior_e1e2(e, sigma=sigma_e_int))\n", + "\n", + " loglike = shear_loglikelihood(g, e1e2, logprior=_logprior, interim_logprior=_interim_logprior)\n", + "\n", + " g_mag = jnp.sqrt(g[0] ** 2 + g[1] ** 2)\n", + " logprior_g = uniform_logpdf(g_mag, 0.0, 1.0) + jnp.log(1 / (2 * jnp.pi))\n", + " logprior_m = uniform_logpdf(m, -0.5, 0.5)\n", + " logprior_c = uniform_logpdf(m, -0.5, 0.5)\n", + " logprior_sigma = uniform_logpdf(sigma_e, 1e-4, 1.0)\n", + "\n", + " logprior = logprior_g + logprior_m + logprior_c + logprior_sigma\n", + "\n", + " return loglike +logprior" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "8df24ea9-fe94-44fb-b17f-385bcf28f4d8", + "metadata": {}, + "outputs": [], + "source": [ + "def shear_pipeline(rng_key, init_positions, e1e2, *, logtarget):\n", + " return run_inference_nuts(\n", + " rng_key,\n", + " data=e1e2,\n", + " init_positions=init_positions,\n", + " logtarget=_logtarget,\n", + " n_samples=1000,\n", + " n_warmup_steps=500,\n", + " max_num_doublings=5,\n", + " initial_step_size=1e-3,\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "096ab062-d05e-4e27-b825-a88197576d0b", + "metadata": {}, + "outputs": [], + "source": [ + "samples_file = \"/pscratch/sd/i/imendoza/data/cache_chains/exp70_51/interim_samples_511_plus.npz\"\n", + "ds = load_dataset(samples_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "92a0e4e4-1c42-4e4d-a8b0-31d0668b0597", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(320000, 300)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "e1 = ds['samples']['e1']\n", + "e2 = ds['samples']['e2']\n", + "e1.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "0f18534d-0c07-420c-b2ad-8d31c8a7a320", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(320000, 300, 2)" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "e1e2 = jnp.stack([e1,e2],axis=-1)\n", + "e1e2.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "6ddb4b88-987f-494f-80b6-e953aaccee09", + "metadata": {}, + "outputs": [], + "source": [ + "_logtarget = partial(logtarget, sigma_e_int=0.3)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "783d82a8-22d1-41ec-b6dc-f6e3ab1bceaa", + "metadata": {}, + "outputs": [], + "source": [ + "pipe = jit(partial(shear_pipeline,logtarget=_logtarget))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "b8dff555-1ae5-4d38-ac4f-3fa74e926fe3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array((), dtype=key) overlaying:\n", + "[ 0 42]" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "key = jax.random.key(42)\n", + "key" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "64f2bdf0-b6a4-46a1-aac2-cd623a266884", + "metadata": {}, + "outputs": [], + "source": [ + "GPU = jax.devices(\"gpu\")[0]\n", + "e1e2 = jax.device_put(e1e2, GPU)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "39cc2dc2-d9dd-49b8-a9b2-5c3171273510", + "metadata": {}, + "outputs": [], + "source": [ + "init_positions = {'m': 0.0, 'c':0.0, 'g':jnp.array([0.02, 0.0]), 'sigma_e':0.2}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae0cfedf-aff5-4110-9d12-fe58c53f0951", + "metadata": {}, + "outputs": [], + "source": [ + "# compile\n", + "_ = pipe(key, init_positions, e1e2[:2])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5a1f2e04-c67a-426f-aa05-200f351a602a", + "metadata": {}, + "outputs": [], + "source": [ + "samples = pipe(key, init_positions, e1e2)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "7a85dd04-b1d4-4a0a-be50-7aac7820444c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(dict_keys(['c', 'g', 'm', 'sigma_e']), (1000, 2))" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "samples.keys(), samples['g'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "c1a63f77-8e62-4a5c-891d-6ec939d5042c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(samples['g'][:, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "65226412-5406-4880-8174-bff823a7e510", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(samples['c'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fa5c7b68-d0ae-4801-9952-7fa29b9ea732", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bpd_gpu", + "language": "python", + "name": "bpd_gpu" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 2d7f1cc30e527fe01bf9a4bf8eeabc984bb26367 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Tue, 3 Feb 2026 13:15:42 -0800 Subject: [PATCH 03/20] add units --- paper/gprop_dists.png | Bin 109270 -> 113696 bytes scripts/get_paper_figures.py | 18 +++++++++--------- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/paper/gprop_dists.png b/paper/gprop_dists.png index 5266790b73255dd54ac76393be83040821ddee16..27b1eb50b6a1a83dff9372465c9b6cc5d89d3b3f 100644 GIT binary patch literal 113696 zcmeFZc{rQ-`!<}m)9Q3#Obu$CL92_RLu*f_9je-*+q9^nwA8-uu}qCY6@yV~OIs~% z(b(6-Qd?C?Nl`-VVv8UMBFS^zI^Xa2_j{iAINtYny#GFqV>BbleSg;LIDF79)git|uZj_LYeUs%B=kH__f ziN4m6;Z9Br)S2_s+t#}YXr7~8B+Oab|nCsxAj9CX!7U#=QS$&mu-^&ygvKyS2F+i<<^+|-*Nc5H2$}7 z2;CWf&-AY8X@>IF+o7J9wn>JDyRqg6O>W=L@D<&g)p@_M)UkI`viW_78Nuyw`x0l8 zxF0@T=kNKfcXnk`@*7m%+qdV+DKU|eXPnNW|se| zcQ!uT{)N4mL4vMgax{EUTwFX}t~JW~;BSxbEl#Gno_l=HT^OBhtU^7PCD?Aud_o&< zjuF3-e?vC8&9GD_a&6B0CcZc8>gz{X?$j(!-=os}^X$s&meXy_2ARxgTklLGvZ`7B z4JTLEmMr}^nYNR;&(v5P z5gP5t(26I~NanZ3QoUmf-fMijobi(InnG{puvuAyF8Zn2Z0mL!v#_k}^lG59M7P7K ze!7pBX2vzg9Vv=Cy->pM!uN_8O;i{pG*YS5c#5i6%&Y6i;^hpSoSbwEO&*ymikLob zf@VE8%SVRFx=<9lczsmj#<8U5-41%X3YR)(j^qfsmYT)n=jTIb9~i*bl9G}lBfs?Z zMfp_gkZFG~?>Raif73lP%!2PbIy$ zB)2P&1fsnZQ@i~&+lndzSuQ1J`7kIh0~LbnSoDn>H(-$J*K;fh_-==sfcTv#D+?IF z0b-z9kwP>y89oF9h+gAr5x%*F#z|xKZ!MP{J~bdy-=zmGX53-dKMH+N~}OWo0#ZFT8%I( zC4lqZIj!AR$splcNXItRquqV_JlshDiI2 z_8?C}jCIzD_u$dqpHOv0N0Qs1*|BpUwdaO?X=6(Z{-xemi#r5`Psxv9wP5fIP38_6 zbWx~ODSzBZtmfF{-!OQ{h*=c(Nu*QwYcLZrZe`~CP$|XSe%p3i6(1iTYgbpL0G#(y z>XaRP*p1NO`DqvNxu zUt<+fsE=2(IwQBXw&!?hvw)HB0NuyN+1dG7f9hjX+V1GbiEcH>rt7@FuSZ-7#*v|h zt!-{Sdh_PZvHns=WPQE7dQ>dt+(3o9Y*~3ZQGR4!@h(l2XRl@SE6X+XYscQVP0h{C z&-A`1w2i_y1W$7N&kee$-MD#EcC`2#D>Fy+m-b@0xw-BPDly3NlgNrqKh8gvaRSa?ImMKp7NgwuYGufZpiq6<&!r;d%dTd82q;gsKD_W}3C2&1g$r0OP|0&IhVkbv4+YDI+Go$Tx zM_p%dmWL~C%d4uy23>p?0&~b3t2$++r9TXDSIfs%dM)Fy=vw^!+S1ZfQ!iZhd#T@2 zY}Z1eQfvi2!+xqXpMNh$=)6Bi36_9e3VZ8?z2;)_A`K?!N^W<@rICB7i>o-coWUrS z7znGby1JUdn(f8o)cO4~VJ)**6G(9IP)wchuj;(7`|NVcl+5KuJK9@HxvM_RQ~=TC zk8LQo!_F=){O5i)etsjDK0A(uyzpyuf3ef7>PJm|lRwhG>9|1s43QLi?{X`*yIB(> zv?n}h=W+lscrGs@F|#eS$##z~YI43aOCO0=2c&ZbT?Dd2wLVNv+Uh<+OZK1PWWL~7 z49j=lSGD%_^>t`kBcE>f%k7@A+QW;9iHSc@c=lNVo^Rp#C5`>$tyrId#QOO-bIs|U zt=!Mg$ZMBiSR!C$mAejQ`tgG0n`;!>R%5=$-Mm%T3M*gf zjeF$j4rO1{#~FSf3c3BdEivg%-Nr^e_J|UhBSU%tJHeq;b9Lhi^XGQIVuff3 z%k_*gVY+695d{7(6w0m02hx`)|Abf=#gLQZFGTb*XMn3kxfFQ{JO%eg1kU9Uv4Pc>Q&ucFY;RS!xXo!3*Q`$hDs z*Lc!8uE&1cW{m_eEs^#m?ZMi=x^RLvU8S?sfZ6=W$OEM8?I>jd&Zr4*=;~`B2skz( z8T>9h!t+%H%J%Frg$YB>>>~(F02pAZ3s)Iln(ScA7gIiU%%flUhA+(;4_e@R^^aK# z$ag2M%IH)Ky>QH58ABh>KIod;-LDqjqiXw8=)Io-0X&CQ;h!mmW?j$ij_Mtq_1)cd za5u_CI8o?@yyS11F#d}frG(d)kLVID;>_|-`_R(EvgQO7MYg3&@0qHrEQFmWqG%pj zT3YHK@lI$Z$3^#DO8)tA zX|v!y?YSu~$Fp*v#+p4dGxLQUd0H&yeUZY4i6X%%l-oZ4b?X4CZ;C-puY|%M7)JHL z)&LO34NV`@XC*El5xO+OPfOXZ>81$T^VN-9!A0V9O$+P^B#;$WRaLo;D=^6pr3hAl z=x)yr`*zi!<{JT)k92uCHZ{AjvhpD8&9n-Rsb&nUmb+>$11bIPqy$yNEVKOP{(iH( zyu3!hD2F#Hedwus|GIb=nKo^a_A%|-x!tQA3&0`QkHsvT4$*x8V*y6H_3FwdsvvTF zB03jiRyYAL(Dy*;Q_$s@0B`r0pi9pPb?e$9q?uyFts zOhu^^d{mg8(5hFE_b@mzq3-8_>Y#z`0WYsUxi9wG|A`L)dLO8m$=W<67IP%&0)+UV zD}Dh)bU0HnB))_~uWt&4T?b%7-VCqQR`k-(T=+Kh6{ZTJcv$bmhYuJ2zVI?ikt=2U zpWY}40L;T^09Xm@oPrQF zKFy|`FeIDYx<&CF@~ku$if*d#XWByY1pIr;m3YcTBo7eS{nKd?H5Ra6&c^&`aTvnR zg_l=9JCxFDdY0C)ynV5kafYPcUi`(&jc0gt4|)He3j%z(E^=IH>IJ6+1h zAi-Tx5Viqmd|FM-27dC4%u#Nct!>Fe^^D6o8sts|ist>t8t=6G(+>GB^_4jJUkmvI zTTYRDlwdi27Ne{M0iY{zd8)H!NZz0*BJSj@(nxf{Tgvl8lD-UTjGVz_zqnVzb0fg! zkQ|M*^#=1YZV-?>&EjOr89?SeG9|eZa4|s+V2O>l_bG^>ur9-up4*wOe$@NjEPr+2 zn<5hh04L`FT>C0Ne~!_cAROpm`Y6uCE%~i2j1)3{hv^oOMnCHA?yjE`9kVD%omd~q z%ZNUFs@1>B0^b5#82RpyV-4nw%xEz~(6yGc`Y!17_BxrwWZb~>5SA#Hn^14znrdbUN)o%T5$6p0GKG70GM_uvMcz zyRvb$xkrWe5CLpC#98u)5`si?Mc-r2sGJ5dm|(4n zKf5Y)1_f6CX5clv`?F6u(@PXCXhSI{gT5u}7%$N~TXFqZ6ETowd*Gu`x-Ee(=RQ=F zU8<6^L{r6NK4J=h5*6}0rH8OdBTpD4z^;~M)ksO5_{6x45r|%*GSc+4CpQ>$b}Z>kEYw%V-ck9cW!|3@Jpb@7Q9Hgg zKB1we@GJFih+F20`Vb?{@`dwn90#B-l07BxF?qXY!DplXHqP)#TVjV88zAVpM((@m z=jwCbKq9~xC~j&F1~DVm+KQqw$sEKJKr# zm_e!pN1m!7E66nUMUFO^%zI9(s?wyLKX>!>b!!`&v5)4%PxJ_UaTz3Xwf_-Eoor0=C6GCfB>iuV-QRm_g2Ln)ic2hf=73Oe`&N_SK20HwlSG zEg^0(_%M;l$wO^LLBuyucQ@jRBYVRWjr7}{1}ofch8TPp{SDjoV6BU^=l@mAGzI{P3N}_J0&D50;F`lL49Z_1amC#`3!aaz+4?KhiWp4n&nm{DHrgA_lS z*1VnZ?owIYR}aHvhv%t8E%!&Lg1qsGHalnM6OfXzXlaPc+AE{$dHtFvvc`AYRT8hf zPb8Hw|5lTn8|ZW>6}A=Tvnmt%^!v+Gbnl)7xy2@|QIUeUwurnxfA*960`ks$d(ncp zl~=?d_Ue--7H*FhYq%S;`dsvzFcR%~p5dv1L`{Q)D5V9RfaUu`jN`|T%Rh`>_oJp_ zi?OvCrJkKoX$qdK*j-XngI=Xw4B7bPQAxnJhh4k2z0Uuzk|jFn!l8cp>ZNmGq@sM& z)Rn5i=mMh(?R6(DSAQ~Wauz4JV8?DZw0Wv83Y9Zq#i(=7@z<*8NVS+}s-*vzF>c*j z-#8<;vv=f5JYV9POS!m!ly)R=E>Urqi^Z|NPn7)bnU*m|8|z;#wcEs9;HXTV)Z1$}l1cJ$-w7-$QYoZ4^E=*L0;{am4Ua7%(6YTEE&B;k=`xP))iRo&W ze$xm91O?f6+@lf@#{uGvxIoK}C5}%|hn`@uma#sTvAx4Uad^LUE>xw8OF8y4)>5cH z2-qjU-yv|{y3lW?ZAW`i{@6zu{S>>v;vbFClnxu}G9jgEaQ><#X?tcCU%?9*>xD$Q z)-P<4=%%0+;6pURkKkNgUGd3n6RV{d2F_fumqMYW_1P#Z;79_a$fjCThZM)2zgFCr zzGl+U^1636qB+nEL&oZK$WljYliDVtY%tSoY(M1MoK@}p(m9upTsrxoGb6|I3eh4Y zJHtRin*=~9CE%jkV z&_=vKqe2t&H)XLZxe|9Q=%j3)0Mqn~HyRX-ljgc@51CvQ4*%pf61r*H@=zNlDFx4V<|@i7@j@&QDu zE{2my42p18YwsP?9+jLg)ynVfx#K87>ZEK07TTyu0=>w?AGZyIE%(Y<1Ur1e0 zX&#&%HsKB=GSsU8B=+|9yh5lUMd2crV^3Dlw|HST>eeGHrA zkOkjRahAHeR=o^CBq#pzik7f0_Oyc!RYa=;(Fy>}0712O_P0hZ^H(%3`L3}QaJyWM z`(~1*5c?I{c8Q?34HEze-{w33GP+#;*nNHM>SoN(OHkXzIR3ZhHsDLKXpH+uK2{rz z39BOl8CWJ^+P`@{A@N?HN)(qFU~)Rm@R~2F?nRbB+|TKeXuk!kISv~iCubnMbk-1n z74R8QoRIPa%g+B9Z8rAS)z=M&RE0w{PD{@9V}_i?gHk&&t&ZgsI=}UWguBmM!dsVz zNNH(l2c&HT_4PhdUeK~k({mUDl`4yixSS9P$z0Sg7QsD(Ro=(pVLL<=R&jE=?(HU41k`^Dk(nQaPB%<_Ap zBZDvyaAX;l3c@UUTH8cs^=%-*f%eER(9lhgJAg@!0GN1C0)P3)qf%F*h4kDle6O)Y z+m)8MNC0zG6E=h|408h$qs}%Ga|P;uPAhhVrfiT9PswN+Q`t*X1G)}Cmj+L6f`O-P!`xF;kw3z795b=n{vVt zU<)n3oEk96J4YYszpo0!2>q4{&7b%KRNi+@Z9lv^m~wZ9ItGy+!fo7F8Udm^1u5dV|$iSH9NI<%Lv4XDMOUd~ri=aLX@!DE|XVtb1E90h99s8znn`_vz> zq4rwp)*3Pa>sam=4wParLG8AlmW(To*k zT1@!j1arNRN`pnP&{zDP7GYX`Du&sq&_QmH-Pf#>1DxVM+pY!b&QL~tGERrXxI*60 zm|;^CC^K5qzGM&pik*xzKOV8oP|FzCq2QA8U}>I8>tEQ%Pxcd#NIz5Wc(6kl%AMEy zjMoDeXs?ufIZEd_N++QS5y2X>A>XEXX`X2I?EluBx7Qz$fi8OU{BgGKc{g%bAcqD* zv;%z!w|-RzTlfm(Cgg9kv$Oi>U3@vWVLs82HeX-PY~FlvxJWQUl1N^?ezW-DZDZTp*i`;0hS_e`mp;S>@r zj_3-?LD=hiiE<~Cv6ZXWSKw5YW>KI0n5rsd|K<1_KWWAJ&EHN9Ok9fA{P9rV0ktqjF$) zaa#Ta`Sd`8CP;D)rDiZb)qpt$bGseFYE8@C-6aX%d4F+SQq6222mfn$fV&S-5=9H- ze#uX&Qwkb6PT?dv-#?5FT&i2eT{x^bo_rFOZkoJ)y0~t z|6R1w+{H2vCXgglB_Fj?!0dO|SgCjZy~zU+rMFud00DEq)GTZW1VeyHpyXV^_k!Sy zY_hwi!e2ELV8njyy?lYJ3he;8@jO`-*e6hIO>CV1L{jsyq%VVm04`%7gkX|n1um%AR`p&IK zH2rnYRNHUiN7$RdAen>!Eux3U#R1M(yOa`dnwfKJOUu@WWHUH8c;;3w-cnkd0TLZl z}z$JZyLLhSf<>HZD#8X&isAZ`e0SeOMi81K`&o_A@S{ zP{SV+lNJf! zY#=JrWwv!B=*LMJ2ATPR!Vxz$j5S~$CjU+pszcjfBRy#8E=qa3qzQ0@rgr;9Z-M*-3^HO#*lMrGU-COb zffJC+E8g`e7ow}KEV6*ogI?ItujtonFFD7`t<2ZNpJ}%?EL5A zYmZLB+XWyY+Nbgd`#S81y$Xe?;WfvqZK%4x-?xo8A=hAS)kpG4_xft&ZY%i?9|1<= zs~qxCO9+KB*|X%KPJ#Xw;EoRbuEGFWi5-l;e$4aXH|l#~1%ZU34~2>E5frLGXnex0 ztTl0)73NySj*BB(^I*tn?Obl7A6=EXh>^O=@*wgP^ibhZ`Zsy zGEL4|Yzf(HS?qVjHvw-yDansQ{Q|n0AA`smjR>BK7#-C+{_3QLh7#Nk*i9Nym4UJn zw7`i||jTzmJUedutOsIsg(8K_wmFyY@dsJ&^J$7Xnnj>$V*_ey35fc=Qlg7m6-o$rk z$iR{l_uoSvEp2>(+%Wy|y^d>89&EW^P^f32|9U0(KY1zWZcp8YO8+z2BH$=@u$Ju` zMu7{uQQyaGLs?-F>LOqyTx4{zJ&nn~1KycD=K`}crVU(~8&g?vqtcwL z5FtUq5E^4MQ3uUz{6CEUm!!8+U2W@y!pP}43ZWH`Y zD&DRV5>c8l=0_<=t*fBqf1+jZgM>MJ9lO*jzeo*aGzBtlhww?VU)?cQ^4C8NPm~It@9vve`I+ zoCQ;N={L-JZNQ2HVX;{}Kz)0G+gl5wSnu20(Z=X?IjTP`V{KBccKQLRlAcR;D5J1+ z);LyX$HnQF$rcZXHu8tW26owwB^sj-%JDFp4H&0wjxDb7RZ(zi&2x~ zq0+w zQ0YgL6>mR;)!Pi;P=lx%>UoyCuP*Pse@jj%)U|OKu6hl31>e$J%UxMp8;he!f@Eck zL&qS?!4XeHBEOXrp15kJ?Y|@k6RZh;$c7~tZGc>-)xRYxP`u!8G_1e1aLcuD*lK+^ zPG1FfeJNe`!33*S9;d6@2=g;3@h$2Rp0~aNe_2!5@%T^Zej;?=G?5wGvKv;wnuwtT?`Z$lMNviVTOqbhdVd#3)` z1>gPWmEiyLOF=}ra$DUrSUq!>5rQ2Zlf#?GlH`?)e|m05TpNvEB*6-i9)M^XdL=zP z-S@hO4GJZS+pekn7}JW5?eCBntJ&c$=i?#Z_+0;z$dw`6jP9nnct` zLl<=4`$OykG?uCLxHbTLP6V8jziT z#5OkvVI7)e5(HLM^Vdm5ZyX7prv)p@$Xs}t5d96xvj_^4K^N8&9%!2&iUp630R?~v zVVfaa{Dtr6nDHCn#!|C^V*rQ)jt|cmzU-rIMIfLef@4Jx+Xqx&sQ+XcA>hS$Ph;kY z{D|7&VG~;XD_0?8mvGCLnY3;xU~Stz~i;L>VvTU z6xUjvq%qv*1-;NL;LBhwn?d=~epvZ%0+1YVqpVK#B@JglJ)kX{i;!9cuR8fVHtF{45m4XW}+NnSjoqS2@V^zkS=hGTUq8>dJVs z_YQzopa_s9fv`BGWyQq@0DuEz0xOrz_+A$vY3G3lS>0L1{X3Q_4p~`biPq4HBmHSl zBXFFDg4y(6JqKal!BH`@vT=R>*N_{3z{UZ95B@BzPInklco)FBq|iq;xLH6-MpS30 z0U{%9@bb#y=br9BDPQAQEa%^t)s+RrpAl%hK4xAU9Q1;|L8P-*SIto-ZqO(w3uS?$ zwFu$tMZp??;waY82i!m4blB3Y|72e~wrVNBxkA^MEVk6f`2B9}mj*pQPhM^$Hw;z# zx++`W6XNVO2mURutV>mAF%o?0>bc`2QUXS)2Kw_AR6+}XjRSrd^dOr8y1|Nm8p}=_ zOtOeKEh^S~wkIE|5m*hrQ;uaO3g@0(j?B+LL9SHV4QUr;I|Ce77zIfBlqpdV&XB>& z|4aBR5W8!8#jrkCa&F`zn->`T`sFDoSRh`YyF5+uZy@sc3+IUFMSVkB4{mhx)m|aG zPoQ%504QOF&eFENzG_gjyr-~w32EcjzlH=rTmzg>BFTqXI3cT!XQ`MRr+tIRAgAmB zc@<%Szzubv9R)fFY`t>{axFeb7%f3y`-tkdt`hpR4VCg*&R|zm%L}ptEU=Kd_`HH6 zAXdD`4~@|ItF3xqe}lmmM1i7$+u*dkR?gBd`gj(!cEo+P^DQtpu;&yXffvoC6{iuM z{e-z{XDRwJbkK6+M?-S>!KOi_hXTHTYFy%>5n{2&)DG_Y`^)9gXr<;bK7mmX*B0S* zhn572e@cXL*kBK6GyV>0CaS%2Mm}hZXr_zvz>8sMo{FT-UNYDZvLe^0C6igA zHJ1wzyPj)<<4;DKF9#}`pVSbqzP|ML+RbB0QN77Kh64e)+Tk{z6yNRFaE1CXa&hk` zj{2m1g6PKj>hniWF{G_=kLE7_7IV%fkAo=E$A;@=D#3y`y!r}1Hge@KU*I4sa7<}5 z@HxhtU6C~?9&_&R3x}?i1E%I(;(jze*`Ds}r@QgW|6c8v*DJo>cm}jr6ySY-!?OiG1Gx-I|P4H-fquiu+T^+>8_B1u)0iVbB5Qh@@ zJP<=RbPl|Bz@B{h@k4W_@$5XP?4LMlh>7Eb|G} z8$R(Ut8GAvL9ZYof1X{5|2`LNk)zWz7$3+9z$r)ziL$|(KH9D}q<#8ZQjr2E{1Eu3 zDk(Q|yCE3J8sF@xMJa>f03n+@oldhjA<#JRe?k@pqe3hJ<<8kyvFjnt4&|8Tm$?#W zAUH!bommO+(v)na@bW?gU-Lw5x6pv>Z3TmbyLo%RjWFy)Z8K^UsKdA#w*M$EMUb}kY25aDH=L%OI9P}PHj z;kgB#anXYf>zQ@vOOy3t<;i~%%^1CWDA?uaYq{Olj*hcmqJLP&247Yn0K6`2z5Vj4 zMoBUjLMTinY|AJlRrK}w&)a}ifR8l`)_uW6)2n5$K#^ky>}y~q3JTJJ+gW>hdfM*% zvUOwtA)9SW^x%*Jgf`?VaIx3RUedt?0gKCGHKD~oE`aLlb;$F zhEImc`xVCoAGGN2ph_FBoHeSAaR(H)5-|9g4nDdBOvpLzCU(hgohg@{fsv+Fr28gp zU#mBoXZ|f`@Rd-Mt*wb51u^HL&IcC-N?DC#Puwt|Uy1TB?$hr4+<|z#Bto2N3Z3S>l+*veSEcH3|;1m|UCl*CQq# z-Va*_T#UMno`Fr$pW{ZX7GcY&$XJhOZYJh+dSAZ;&=Eqn*Z60jM7i0PAO46?GD`On ztGhGyNZCXv>(LQ7C;+EyV5DsH|CGoM*#>Gf;-~v;J`S!V5-H6e9REMe?+P z2!;5j?iicVQ`Rv1*3gqO;ys#ONnfb)vFmnQx{U9|Y3*5oY>sHtE?Jlp%dc8npq9~{ z!)YS!g6|96dwnt=lT)c1u2AFejyh%1@pFb$+2sB8L179kC&>+91m00PT`4J%q z9I*tKQFS0@VZ>HB`P~lLE_^7_#7+NA=Lu3)JVx4(i}lEwB*>p?H##VfKu4sMf%tSL zf*png&|^tKc#2*Wk8l-QZ#Dm6!UO7q`hFWeXRv$UFPU?b3AxT-)^JPiH|Qj@brxi; zvmGBu${UjFjUV4Ta9hsg1-n>bBW`+O*7iD77!Tn9K?^|Qcv8Dtmrkqa7rIZ5=1eta zf(oAJ_v}kW7EocO+bz*rTX7-{uQV7%LVrOhgi{d!;gB<4&5*QqW!!-ohkOW*-z!Ii zR*AmEp2>?~`M7ZNt$CCsr`u9;V3$=Pc*kIS!{HGXJ)-?3{~qIUaEmt1I_x)2KFzQ% z+4!~xz@1ETTN6YCgog(oDs1PjezWwq208RwP+2Rqotp{AU{8*~VG8N#wFb(5{4?}^ zK<-)8UanrLf6V!9>H>hI+Vqk5%d|cyPm|=bU#-tB_%MU%lGov|85EwdZ6M!5=thb) za59q`Q{`IUHHA+7Jn$LAE>dU2|uSV8=eHUiYnv(tMt=TO)<$iVCGar%J3 z6~-nB4V4qG@GT>B;l=fi2@iw_m>OcM{4#YP9fD9M3V(2~cR&Cg+8JuU{FGs7t{ycq zuGm&ox%`ahGhh=}cYjt1BK5gLP?8iL=)01gL4h@othfzV zPVef%?zk*Oj+8q7_R9Xae$hi*Zoo89YT}hKs)l2bJK0>&ijDDDAXX*UnTzA3v9xns zY>I&g)!^JymgktBLT21^%r&@Zf4b}$WS$XvadS3=gO`;V#dEuB#gY{@2Dd3xc~okf z?5zZcJDhxj`zO7)1K|xyg($`Czz8(;^xV+JKCWor*!~L`Jk0k!kz2<#hyQJ#dm~rA zM%gnRzP?xzMpBuXEexqW_rwSGiyqMevwHR{)VSt~<*sSqBtV8nGdwGGGCbbBmmf|- zfb&DGs|<8`#8wWl3Rn#y!}TEzrJo3ZPkx=*IZjG^;=>*A?Mg4V^pn=(oz#q$t%$%4 z0a-vg`Mr#cVuu#c;R}O|V71^$yWqoHziQZn45Z{Z_m^DjkM+~?P9Ok-%oP=P8!$&X zo9M59Qu~dM`g-b$n7!%a{XNNO7tNZ6fP2P{Vzu^PO`pDRFy!-G@K8g#f#W7x9&bwT zaC+an8z7J$>e2Xs5my%%G&6)l^ZwksVxO;tHrQ4>R5@IMtAULwy`hH6GElm(yz+i}f@gDIPk`F3IuHG6q!%ZWFhe3TJ1+yn8pY&SvI71qhW} zgn)FcHhsOGzA-Dk8t0qNb$rb;%Y4k`B#lFP;q)FChl$}Ev%od@dR4T>mtg@G2$;|p z(R*S3NOC7Y4n$PBZig7JN8~ADkh%3x+-yZl>LNrNIQ}?)p0XM}2}I2&dmaQ;a16#` ze;Rp3E9PkiTDWrVKxGa!fk!2Fe3@?gIObHBoQzS>u`^HsyN;9OS$~6XcG>8Ks~8%AStT(1nN#b&nt8WQZ_&JId@pA5%P5k+RTtyE{ zamMgxorO_Q8YeB$ikN9d$j=dO!Td?5AVTaOHX_CEgd#l#)28(F; zGxQulyEHq~?$3aNZ)%tsjAfbUtPBR$j`~c2IK<0hEOV225xi$Cc8FI|OMqF6#>cUi zI5CMd__JrHu%13CL09H0DE)|ikY~YCiRO@HaGRW!G&lVv$iyDWG@0bxD+tTs? zwIql)SSMhZ+6YW7QqNBZA3488bpw<~U?PxMM^A~X(Ih(zBN#U;&7}wtv4O#0+V!-& z2?Ihr`|J}q_7?)Q4LzufM?ejHylz-^zvDyGHzMC!0UI{#ztIYqgdM!m+I)pA=@W0I z{u=E!z%7I{Tv&*h48UsuV~G3%EkCne^$qtVaDia?Uj>}u3bviUv{!5l6YjdzTd6+- z2T%kWO{x~)L<8CQ3^{aL8o03d1{?^^e=2DL()yM1C^D#J+R{zki2?_4z;{wpQ-d#{ zgt)|AOpj1neZ=-$80};N+f=U?&h-Q{hkk!~$j}BO`U-1$rN;NCv5IIr0CJD`1LIgq zZib1`-zxl!f7z#TT!ZmyytyD{oTMGMY04$+Gt#0BQmOMlL^oN$Ji|ZrOwAcb_s{9R zYebbz&jo)vPlAO8TT7S^y9EySB5SFbUl_*8d-GioIU{53fK%NmVcAC?@HlB7Nm1X&2ezDli>;!GBCEV0HA1TX0qSU_enx ziHm0PqlQ%xQecr%%b|SzHJyV)aw|&xCQvDGrX7K0LWKzN3+9b|Ww%RwTnDR=D)Y(c zIv5^LJZ!QCo*+}sOZ|s`=|LcOZ7wvdwc<8gzy4Zi5CGi_;OlYZM2HOJ>Uhcuk2(~5 zr5_{=pq1iujE3L<4}@S~Ods7JS^n2(LObg|Lo41F&3%cd2tvlv1;bq4(V8Q4ps{|{ zFTfawaF~fyfg_hWCml1W z4>v7dQZ3;ZK0b#*M zi)A+82;IS$b7Pe)N0TlHx-T7_f*Cg1wP` z6S45S(;*1&kyNxd0{yP9$&^rFlfsEgC=IMgQ!5u=iV_!=n`aiLzodsYFU z4WT-aXIfajL7Wx8qCyMTH&bIrUVnn)+4}ucg=VdBx7FpXeLNTkiktEeB1*xlrHGX88T$>YxtF&&6OwuIiMX1}K9@MN^HNmB zMmZ{7tM;k$6jv(UNOLEvLkUsm57Q*$^uLAOix?XavkX)+ zt%P5OTkKV4qY6MRw2Or(~rD$2B&2SqYKrS*0mDOU07Q>`%f2hiq8wmafIlyavDJ21s zDI4vsJ&{&R)k3V=s^GxcnWqDcgNLw-x+2AiGIocPRTltKw&n*h@T_XyHiFaU|< z?NmDi{=}XguBu}CE?^p#9Sxj~kj@4>J+#f*+k55H=vqmC`-I08#bhX-W3~6_7?Kg} zUC7#DYY3Kui(omhPh=W($nHd4>PDO*;4C`3WmCeeg<&EQp96Rngb^|zT12UN%ljmQ zqCq(xonwq^MhroSuL7|$AQCdts?nM5TqeKkYls^y$OBsd9aow|_Q~u!Y)D2J9I!5m zu5h#=a9{q80S|Sktn|PCEWnK3GrIz#hddpo&q+$-L|{lYWIe=UNk+!PRtQE$hTCPianXJ8`L}9Tj}d!G$cWNr_?9b+$f8DL))O&Le9!-5f??u# zSi)+*W55V50rUyjs8lSo9U-V{WPr0mT;zZpuSu8cMi7|C#wr)o$HAs(kulJs9-dd}ayku6Uke-rv}#{eXp=EWuzN^}fHDJ_xUEw< z2zB|SM0~MNhyl;)ficq%P0Gx+N1lV>G7t$(2S4!(n|kf{F(XcY!3I0wL7lz~Da#1C zOMc~Um^0wq&pvZ|ZUgmKeHA?aLd}}jKZA1XA19%dL#m`9(jY&-AlvfmE8YL{aw`i$ z(r5y!#ad&_d5cO3oUujbSyjjGBEe?` zA%oiLB5Xsll4Wcyi^Zi5pN4yU{6I@g9#ab*k(UYNjUAAri4O%xSaRBjV&*t;^2eUG z{Rbj>OkCJ(2w4MIfSB`WpW%x%w1fGUb8E{y`L)eff}+Uj7-VfCV%SkwA)7cJ6IKWp ziY8RL(!b&_K#sNHFa+)a@3A=6;=VG|t)c%7e5Ux2+AdV+;`XtCxB9_>bh*yY&xC2os;#;YdBs9NuR}|_y(8(_XCT}XQ zS%C*QtZ^AUZiU;(yZ`36+frA#Y(@*BKzv-z|b>-yOJHthw5Z^Kh4yFGi@ZvfB`1b#ozJNv|Ehva5EFrd&ugSU2 z=_`0cx;xEb4aFhGMT?-7?)oP1|De>3zupGX+P8kTRQIh{k^hsIk&zd-;41-WbEuE` z$^jP)6F^7=-{RINc3o5gi80+5Y(JnMd|fC<2jEl4&yQc%IPyxSqfcla1Qh@2{P-d`Zwd{u#Tt_{^$sr2+_F7zI5q3_bm3k+fFIry5jyn%9~ zu+aT}Vc?gAzi0I&UB%r0xuwE`mx@ozw*dY7qwm?!Wx$Und$CvgGbRhc7Y^|`e!gMB z2mBZ6-4$PNgA%U4D)MQ|2yikbc2k{0H>$e9Ql)&I9$-q5=Xk)ge7XvOXRsOyBUg}S z3&H=4{HUL}cpKrp1O<^NV05i=WEk))FX3!t?0JEY@5vg!M4L+t4G!ugRScIPi)ry1 zX64$~U+?yU)fZ|ZREoydW@dB|cBr3d$ja82JT$1Z3wJkl(Y{Qp-3B?J>sE~^+5}M^ zV0$?R-y+<+2n+D5o`~4KQFQ}f4XYQmwg*+L!NUa3v%w<6sbrIK2koVf8zcZsL=0=l z$#==zT3)@(Izj3d(gi5|$R#B^mq(7aL`0WoX;w_KwEHtwgP>T1Lq6x(+4h=Wc*E%b zOsf(3s_{th_k6vZnfletDgi-3C^p^L!>Q9blD%3C!U2H&9VRW<&9y~?v)140z#0x- z;0sZP=(=poQ$_S*S|r@os%&ek*1SCN)cC5lRAwwzO!kv;|2$#-S9sh3xGT2iopfm= zxZfQ}i?#mVn$tewZl541U>M&)vsD~`WCk1#Q9eCot0*Wg+39uoCOmfzYAM)A_+C3| zFsy&2koC5&HON|5a*fvo1mwGAZk2;tNS=kK55jc^6LInbV z!?w5*|8xM#b9h1!lIU;bo-nV5qB6CD9vm+P*DAKR-#bMsLHuM22OyR*lGi6ip*_g6RDicEQb?Owx1N ztp-jLd{H9cSR0op3&{g$X8_zVN+A-Kz!0*?1N}JktbMM&=7Rph^o|)cs9 zM+f8&9wLH^O;G;$f>H6H=|IHS17DpOf4%<9+Z@h|O7irhk{~#;xq9mlA7dsOp*ebI zTZBmnDKFa&eL7@2Rv z{9CyzcyHr?`Al$eQ}8olhl2H}n5?yUWZJ$gP>l8Lf6?|Oa5bjy`^PZMOlTUWBFebM&Wpb?@6kgwSuisR5(9WZN6N?HQ5;d4h&3x}# zjv2yzC-N(`Jrx0fYE?+!InvK&~y2?>e^?Nt_=O+c?gF?3)8=dN7trn8; zMT^l*u#_3^LQ8>}S8g{EzSI@cHFo8!8l+Vb`&q}NhI8FO?liH_PrimPTLX|RHse)+AVap>TKuWcUpN2$mq;lCt8 zs-UQdO8Y@HMgCiCrLyK}_*7U(jICTcrqnj?Zj18E$1%!zvppiT=t=oepGzrM+|xm_ z9Fy(}nM!1v;Xryh_A~TnedCUBsc10wvYT|{t>VV&Tf_YHnR5V|7ql7$FEt_fGhd9O z)cN)Zz^|r^{tEMKqItMMV<5A)O!$V#!XY zXQXYnzeQRV4rh&{u&vS87kYur>q}A9!I>4Fg7>g?CYFe1t||klc;i(sKDeA59X9If zLOU=q{#s$Zl$3X)B$Q)>Q2=Ce{nep+_RI0l6`~1=+|`RjZiA=?D*?vtVu?~H`M};H zZ-Si1N1o&mUsWIkBK%nAy)z?^(KZs$hmL2V#bs>>6{5Gw zOwWeQ3g%1Svq$?0`>?1h4YhGayC=VW=)md#y-#!$TqRZ1?03HZ^;_TDEXoSZq=NKZ zA03h@I37)lx~HBZIE0o19MqAm3{T!AOqyOFdqr%U%aeM9p%HFNs7{*AlWqKvbbj^#uO8YPw8d`mnFA`9ME|qY$ z{Ie>@dn^2AZ%P}caL+`zojV;FX#uZmz2JS8 zo+M7%KBa#YZKmcFYBM2xK}!&Ae5ZR+cZN#$y%fc+{7Az}Qq!s3CNJgcLw#^`_Wl2W zPh9(%9Sf-k5PTe)JKtC?vBO{EC7tnKeZcRItx5gH4deRlc*FrtHrs5{e=DKfWTGM` zn>`n6nq$oC0LjJYFqn9yi71OZZ{YP=59z}K{x?v- zfcN&H0))FI8{2(Uw2;J~d3^#Wt*lFz)bU4AijYX0kBbkzPfdvdMacfBHs4U^5a4IT zckP~*{7--Xj|c7j;Xt@*0CF|pTV1B7H1hTF^~MLl9ejkyFdvQ>NI1V5^bJEfSU~G>Y6CucWo=?vk1euZUteU5jP{+{9yPegoX~lT zHU{BW*$8^J;K*QC2D6^K@#K;SpFiZONZpZg;kZLHli(PQ!=P?n!&9;Urf(Jj$Lf4@ ztV2oshT6i=bhbwZ6pv{JSVA1$S=bm41-1tlA+x_Y@N-R0xzQNGy6-} zfxmChh9S(c%X-JK@(GYZve!Irl)vilkWjo8Vp(*?xwLk781)ftwY2=6)y3^|Lr6;1 z>|ND9P)k95O@G8hqDc{tEG-TVW6c4vIZKm=p#x)U3&~6BBKIG>F__6u984@6Sx7!P~ zE{mqTcexc3QCr^b=>XedU5I>;aXfldSJLs~%Mr-0W$B>>=uq}1S}AW2X9z*i~Aj8XBkttXk+U&Dl! z$$8gq-B;Nc-SH=>uZ9P9$jg5VqW3N37sqp}X;#K<)VfuUlBpugMD+eIGt}!7pO8ZP zP@H5|m0a1W9n!zImvLv^?g@{TRCH>sySeByj@L!_jMDS{1CpxTgZk&AjuE(jykusHV`ENZEFejO@ESmXnSrZ0^Z*Y>c=h((J zaTM>dLkjqCN!#4*W8H9wh{crXtMIya5%M5tE4ItbQrT37PqDfPeSt0%24if5u-t2m z{{nwct@-AeW4nE0?n)4d8+l@$9zWlZ)l7W(x4d0jZGdSHk7E^~wB<{1e=*pFG%bl8~72G zkd0#Sf|u$H7rXp_yz1CzjIN60IFlZhmtl-y!dRap&{3dp?}ibG>mui1yjD)MxIgVycDla@wAbmMp%>b-LDh*Bhx$Kw&{-izKjyxy=Z z1?b3o?Z~SCp=7UHp+3FB1tN%~uDUC5F@fX=T9LY>MMF5{p+^~IUgoBooA>-YygEZ& zB+~H{3&m|pT0k%K@6W3KVWrk*$pza+JTKEWfJ0DjHM$zB4HhEyP!K>@DZD+h%DFgLZk40H9U8w>l01V`vz>5jx>k1K;r!@5rA${*?i2nLU88h+g$n7l0P&jS8tQyMdmB1_9LcIxz)qp|11yY60kV+?jb)&5$nGQKU?m3J z`0Z{%Wtj@xaXe8yEYqc6{vdjM+r4P*9^A`N6-3h0$&wh}Tu(N*+dGsFQof7~Fuaon zOjtEKgro#TEe)y?%p&nBw`X%Ved*5_I9Aug<-`?bJ)JckT`a1uW(Ef5t8%~ZQ5Wjs z+)k5G67$N9Cx)&z>jSLWJ7yxyG=gTYs+J)FAFtH!aED66XK8K~-zf*Kd0l6#Ygl7W zy|zE~n-SO5xL5e>CHrP16vVyFa&=>{%yrIT%rMM^OD9lvaA>F|&G|h2HTk_GFUuU~ zCnW{;SWyus0-z)!rTLU_(FcHx+lh{Rhwqoi{In*k_b*z&1SF$FO7|X+Cg7eXZyI~w zKaMUEVFiuu)J|&?E?Ub652qd1$I2RPy(Cf7vlXPa*4_~UwB9jY#!B+ZT94@t2OOQW zoJ;_Ix~gNqz0>aNyDiRjn?u?Sl1acu_G>V_zWCmO9uFrq8wsE|i!0vlAjqrg4X7Y} zk4+kL^=S#iP#8xo)g6}@;e_IWP)P{k&wk#>Fe7GT!IhJN`-PptCCzBhySzO%{RV^@ z)Dn)A2o^6S00wmHh+)C);dRzKysnU7^NK$ZF_!9*DiYU#ps+Hz(V%$)mR^uP;hka>=@qdy6+V#%b0GzYjdiRM;3`l{zIgQtK+o(A zGFm9&ksP8AWn{pJ*cNKdp*5QEftq`00d7Hcj=imWC0`udITWMJ`d-52DNwN^Z&aGE z2c_oKIoer!BllbdRR^4DYII9$p-uSxm-X!3gNO3w51vt($mrRh4+Lv9tl@ZuAIBE_ zLoOjv42I(4AYb|aeFU};_-Zt zcX&U2+w*e`^`gu;A-Qvy^pAZ>icVc$qIjE(>5yKKU-U#p)Hn(WTg3dHMmP&0G%iKo z3#4>t@c_ZJ6)^|gJ=(Rm2pDE<3`wyV)gl=ZVEtY%t}}tSG4ve}Drs1wnr>;Tgn|w2 z;i_6)O|Dhe7q@J%z>Eti^VD%QjLKlOX8L_vGtlcdg4h1(b&(lEOlKEp6&=s3RIRJ+ zBJ`(Y$K{rvk(7Z-fmXoqrgT@*%Y94chRTVfMD60-jygNhy90rpc~vqMBs&}Z6xMGW zr>?*iLN#98*y|J_^h^_?YPF8pqA^XhyhTeuz3XQt*+CnpNx zexdi5r7F&-*whMVgnrMR;WCeu5yV-TzTOhbAh@Z!z>637=DqB%onW&hB@iUrg_^*G4?EKx7iH{`qEy8d>Xu$wR$e9=qLq9>4 z3fCp{r^*j0z=TCa%N=7;Jn6eoUgugQk_r;ng3g>5pLGG5k+OsB*oI6leCQ0nq1$DS z_Xp)ghI@_`SBg7yAeH0xn1~AnB-tTEc7vyN9E29oHYh4W4Y0Y=%lpGgGbsBp$Vrg^ z?DiqIGZy{YAGruhpz${0EDU4ZsBMS628MmUCs>`;|Bz}Nub^}wbVK8P3T1U3HSIkn z9Tr*g4!4SuWk7?v0=%Uk#TwoPbKmVSwaMNcfM!5eF6EA z?HLPyTK>-{OvB_7xMabSU|x)=g22d(hgvCm!#I~aPQl+ZkAz{VNzY8J3WDQN?%!i9 z&tmD^+THV^46K9$h`((-JYP@_Vv!^N2~>rPZY6^9#N1+fry({d-+*4xfPB=2*jTYg zJM|`uMxKBv8eTU-vF75@(fqwS@4qgodb&i&0x5y<#l_V&H)gmZyTIe6Rd~{Jz4_8O zq_sCqJ)%X@zBq!#5H%(v2K8#Dt+W7{Kb;9fCexDlMz`by$#DgNnoMsZ{;yT4?Hj@PK~*9TSRy}$2V?HxFIMm>GUZ&crh ztF;JVFG=I+p*Opd+S@{oXnW53d7h*~W99+{_tCYLN^~P;EoHBEc$MBRqnZ(%)J2J^ zd|V{+S}6TR{{S6u1KV)n&sM4=k48rtuY`;B2n;TBAvvejZX7m-JxWJUnYiaa-I6`_ z_FqGIchJ|@&b?AD`sU5q)zX*?skO5{JY9ef9SPyWgumSpe^ROM4(i7dzh+WRoW?@k z4=1cR;EezAk?Y=D*=);6RZeQjTPbK4m6p{He7e;+V>T=!)pU27LU&qH2u)N+^Bq_R z&&U2jDKx$Q7*mt_`+N-zUvQgC8IQ=VHa0dn(=mCx@-3M+s|_B%VHwGM`ZU%eAJVJVR~2Y3ozwNBh5dwCmNf8HUL_na}5h zj`(bMx&F%Q%9$6d`~*3}6vlT6qdZ$I#d|u%0=tTetP=*x0|y2DRrQ~o@f!KIlTK77 z$CvrH2#zi0(#J%1NrtCf?=j)dL3r-EyGvgCWuTLG$CSKG!@iSb{<0Z=87`5mBktZR zZWSZnK<|*s$lh_XkVZ1~t)N9(JO>{Zs-BU7<#7I>`8N)em>vDl-SR#0wgkU`I1fM! zaktc?ktgP3hfT;{)VA26{SqJ!>WHuvw3KIuGxH*tEQ)}YjXjic_Q@UOaWJqa9}>`4 zv8~d6_YY*@y%RPurVO(S<0^^|eEC zRC|EVv{qP`(`r^vDMHNSZ{DRYy5lU^%5<&@qaY#7$FWhe`EaKzP$j6Op2{IdPd#ad-D&aYzlBEf zRD{&bZv7_X@{-!!v$kNzg+K_8mLK)c2crqFo(6}uxVxF!(pW>>?q(Nt93*F-ZG16T zYsV9Ju;vqUb5|$hVBmgG<*pN&8u!Nm>F4PDsV*4;^l&|PBosys8(e4BYIVf=S}7jA ze$vtf*=(fMW7DPkw+A`rntmO2+!Z?_lUwd$l@Z*dR5%g0eXDJkeVRc+WhpehT_)Q`(dHtF94~60wqbyZs-iOu_P8w!{PM$Z<+h z%bO<@3I&aJT(`@OcwhOi%=k669cs;$%=s$ZDH$V?71|fLn!uNudf@ctSI6dRhipTh z$I%F52JHjlN3A2^p*6qYB9S{9azkn`C_s^M52OQg$xgtev)8uxffG*T6>P){W|_(N zO&QbgsN+sl#p^!NY>OZtI?a3KSw3W%dveMhDrdaLwZSi5R~NNv^vlnT*by^|39f6% z|3y@vrj=o0(R3TtN4qOJo$;`vN!grQgvF4qe{1N;a&$0D&GdA}!6=p9c#T|spX@=A zwqfJO`7KT;UCnbN@NUzT9iBs!FXZZoH9gy`xpSE>Gz{2Bf2cIC8XaqYRYLK5w)w4* z9RLCVU1vqKr}(}6CQ(t;m$?tWGG`Wg#NoSej(eIEg0rZ`7C-(Noq(@o>pF}N!*fLK zXZ~NW+flfD{?_6Yvs7gar!>HH8w-qJEA4wd57@#V^unmzh2iUy@q1-yCPh%41Dq42 zzc2O$7Tq-mY^tj(?x;k?gljqomd`w0VDwA^H==VQdn2})n@=SD-_+yggZY4;&>Two zJ+!-J20;qi^_w%oQX)3(T9KUo5+uWIYDkJ%%#OA#fO|3JoO@ae3774njnBxn4Y(7? zQL8%iq=Wgu6~b>p>;$S5<@MBdfgS3*=fPk|0x2it4Hg zfG?p7(Y1tJMwC(&X~d7M8b5BF{xwaF5g8xiy-CVAwC}#|T|AGqMhnuH3P+tdve_s= z?qSsrH!%dmzF~$JjA;{M#+?XK$v|#0+rfywbF<_9pbOuoZS1m;dMV+^=79E6Pc^Ja zlc!c=eWavE(W6@zcP;f9on#B84A0|J5SYruqIQN#WD~;c%7KUMCY{((MdgGTWraPO*Tfg=G1AS zy9Z)T;BacsJDa;ovGmhRKP%zOCkTfa|G@ElKBER-YAImo-#Pj8htO+4TQo6Ty?!q} zF}y+}9Hq`+7p?!W)J#9tY7l!B0}3@epr7-wc|&~Hu(PWpRD)i@k^9O9Cj*K_S2+gS z=G5Y20HhopW4Sw?*PY&L1SKiDqq@$vk&gJ$rjX@{rZ0nnf+{wZb**Ex;}4(9n0iXPgvLBkdxG$c6&9TX_ssh{2jHb^Rd>43O=J1G;@%b_)$994KH;M+ zLdx)jl!6}r_VV_+FstNdS4pLZ+Y;IP!pVqxGRPH=(bpFU&Dj9{z9a;Q2l{>QIz!5F zK^Ct&i~WM3^wDj2hr43B4)YF``PL4jyku49qm~&M`bnkf%VS>7kll@xmPQ?|%;vRr{svo}QlNr?B+V>&ERtT^g?i<-6X{Qf0$j z+sQqN&@a35-OA(=0Nc@v`N*82UuK-B#BKpO%c>jr{LFZGFpP=oB|$VKhtv!nYON=k z6Rf?G{m?)6CZm^^c4RoTR%9LSF<0-(1`A5g{CFLHA5EhnHJP`e#5x(}WXyj($!MpH zADXVG39!NDM=)ByZ36$HJ+Vq3hGf=Sw{TQjo&+twk|EeewVurtkKGwZTNiF2k2$7i8YIlJ97ci&94o;z1|6|8D=qNP=!%m{?)!4#lAcBw)Fgkkca_7*40IrkdcSG zgrZ_sra~n0xxBp9q=%71_eZHwl8?=UZHcCROjZayzQZ8U%X_~^V0B2 zlAF05^PU8WFoQih$>m)=(Fy1`1k!>GIJydP3gN$AECzusvG}!3!Ggw^u!0?Pg)6TF zz8r7$&r`Z!@jd#?`*sDQJ>5TcMrEq>xbNi^hI2(OEPou$<0%02@OUlYhIvZyI^D!m zQ{3Md+}mTaF-4Z2++#(x%w`}h)+Zdk%0H)ay5Xw-FNVc`nODYU>>0)h4qqZ4nKYX} zG;}|ZMl_>PeS90vgh=c~g-~k(!5Nj_M^AUKlHe(@|l3KdI zB6f$2em=>*&juzBSVAs0f4qc1&~}KbPfpHqFL~;@fs+=z&**&h{1)!V*wD(~)iXz2M3_EF)!`lw82avwVIe?>sPW6~MC(+e$BHl-st!N=jj zlbs03D@S!bv(}HL^qnNhc?y?hKwnb2-)DUkYjfn0 z)k1*~RY9E%AI->hjseaYfZDP&zJn~*V#f_Mhwq@uih0y@u79U>nf|A$x;g){?~q;{@`p$bMRk?gdi^+vFMm?@a*sDhE3Wfv5Oq(Ms&K1~U&Wa#+C z!J&DkzO545+}(Ow{^<;q#eNKKIMmT7DJ!vS%qa?+<(siHXJ7rQ-Cw_kT%;NZ*9dc* z7rSVShSfT=d3)-gUwG_ui5c2}=dcKRU8WbVIHSiVV^#}vujH74Ua#u)e+~x^?s}X@y=I6 zQ%$(U^=vbO{;V~2xOFHme0^o!{U-0={Jc{&wv7H{E?WTfSFt-9jLWqie)BH&ul5V& zNs%(IASgOZlAsBR?DN;ZU%sQkEd32CH3b)u(O*v3nH^cfq~(*1e+Mn%wL_HNQldXrR{p! zlFp_731mc#y0z=IBv%$=Pch7MVJrG@vI*TxHHw387Z83Q(RFO{j;+0EK`Mm}(Ajp{ zC|y8Kc^A6cf$h@fe#@#C-s_Z=D_b^0A{oZ|Qz`Ixc2_E7>IkjHgssA&g!`Qi1Rq{Y zR5gTdFTS2H(HgYkBGoNeGRe#o()wrqEo5Lr+dmzt>uQM2)w5O5W%7TGz9=gtMg7EU zTA^#EqHFdlb0|MhWc|4b;XBo)uOxo{S(6O`I=mUuevaFz0M2KFQp8sKA6oiznD1Xz z|6<2~1(t-79Du5OVTl2w%4LW9RNK;|BCgi$%nrZd@`V!Ts<+tTMB${jyT`j4efVc{ z5eg=_u}IWff3;Ce+gyfZZX|=Gzz!1i$6}R-+8Z)Jw#|P=Fqy?M7UVkhN$T=;3%|TG z+1y~3>`N%phwq_SS~Q7(Y=rd+6;Xu>`-OaQZ1Kxbxnv{SXo2eJWm*k8_(p}r5~(m+ zLSx(6M`K^LyXOrXWP0iYz%YIK^!vn%XE0y#^74{GaQ4+1l=@WI{N{G|}> z4tQ7F6cEM3E|>eatvMCZqpA&E>dnzw`XPPLI8KrHt)7#`SX}pIk|C$>C~H^rMtmr~ zZ3(1eK8?axRd~`zD7+3V-MUBss z%+E`yrh@G`h9J671E*sjzt+J5umk#j0FAW)1=`5zBg$%bQ^Ov>3=ADGV{pe@TQ*GJo4GMmj^NI4Hs~jxe1#Ki zY0$>2uq|UR!Wn8!U;_}7V9R*m3{r;HHxaBTLqbow5}pAslff!(O)@vU$Xsjt}jn~k7!S(r!C z&jLML&Ud_X;>nfuymP8ts?!C02WQHO%=tjTpmD20L0rilC+@)inC9wF-b07OAQ+G% z=u%F}Q9kDr*rqgNB7g_=qgiWy9l^da9dFeCd6(t98PiSt0f7Hn5kubrcv$1hrXKby zFc;VCo|rI>QrHWD;reTH0BjKazND+;KyRv3{wKJIhz6Ecp+nmbWiFhkx_EJ0S(^zi zCDnzc6cAA)YRU78>Q4rnLn9jdobQ5x>U|lRQaXT}qHv$vUe@CTeyXfnUA!s@34-HC z#1{=i>_>Kh@4h@Lo4z$DQbAvgdWCC?`%MKbPe0=})2ZgDGNY7Zf4ziV1&GAEafZ1k;wGJL zIB5t>de)17`S*K*P_@_V3uS*BAToqXF2@|3!klkNk(k?|I!SpA^Nt z=>1E$_WWC#Onj0nLKdr_ z4;vBknw>-j$|@?ky^Q9E<)Wu%sm?*>UZF7FpxkwsPS-J$O-etIsO&Sx?{o+7w0Gr+ z(@h=zPqa^VVMv4xwe%sCgqF+Kmo($(PeM4w9!v$B@Q0=&*%ehE5gmXV>b;Tso+I<8 zzCiR!qV~3`-wA0qY(iM40BouNh9@$=)~6035(NU5uuDABBpdWnN_T*O;Rv+j*|MW= zo)jYVLXSXdU6=-~yJC5rQhyKzP@tUM)oc87d_~V4*7&D*2M}qm&rK!i7E^;8nM{#; z6IjSc>@vCn%n1%b8%TVes0588NG|aU<$~f(x02QCyQi?blX2g6Lh6EDRrfg!${!G4 zsFeX{NOiR9!>x!a_NUMjsjG{9qGaR?g|7ULtIxn=0V`~N(d7Q5e05X4tAgruHe#@g z!yG6Zu`SuQdCg3#V0-(wxhsgfzv19lica;a8P31pMu50Y!o{FG+NcJVeZHx>Z+P602Sp^?V8}lMPX9)lE(qqcR zc)(4xh+7h3O=K0(_hZ3-9M4rkyLlc7pZwqVS2+! zQD1hxdOWzIiSZJ_;XZ+rg(p|BIsc!O^Z(VC1dh^`oROe?XiQC{5%#sGk+PJS!?D}G zZ0}9VGcHR$xHTZX*R5g_{p21>?@bMu198mJFo;SKa0-ai#i!Tw;eoAvc%Z|nFG9}& zt0z&xM2~KZhFPD`!j6jlDu|YFQ9i|r2_Y=2mFr3)1G--*%qS`8O8O-2-YKv9N3=i_ z7?4B?BD)4HAVDWiRK}xoaHf#5^jR*rPK z(U+-8s6MX&bacgpJKLs(tgpO5W4+oFY?g#N7%qoLC)J9bu(<}Xm6Ly|ue96)J_>vX zh&obCw;d1~YatDVqwlhve>gDXR@})Ig~O{3qIKRFmE_&mJxj1%?&jeE5|9k~%(rg3 z?O?qt+$tGr&La_*PF9D0$;^~Hj*f-csv2cE_BYWOJrWuG?LGDDFv(8-k(hr~-H$#R zg+2lc_T|8qx!AZt1`ZLZLMgtSih$_%kLu9N3Zf<-fl0TF7&3M|j_@MMFLCd~Z$knQ zLko+>x9WDK4Ltc*=G{w%2Ff|jMSZ;qpIhAcRqi}BX-0hzS-bhwoDYP8j(X~Jv?U`6 zg=Z0J(v8=G9=gVEe0~NwE*P)`UfGKmUx%gplF-Dab8Av_+R{-c_Rx2bk1RrTva6$yUjT5gv~h` z5aW~&-vk+kMzGUFt6JJ^IKn2hWiBuZVk~BysMpyCsyBAyI=jv`^d-v#?HQ{rY>4fk zh8vxZG|38bbV&+{eIn}Nb|`yZX^X0qd<1N&wmMdrEb4B~tt?n?atPGevn^yFH~my# z>@Ki_(obE+M`EQG%{58?qli?TjeE^OZ=U+l(;6?f+yfPxFgj zC^arE1scLC4Vr&hP~>bm!sU5G2xWP)hPR z!-cn|@9;tmBd+C}S#NIty=r-oGJEzpzn?JioClK-&nWR&oYxiD8b;uL|81^jkz+>@ryDT7M15f^32| z1+c{^*7`AEyUwfin57Q(_Nwn)@LT2mIN{6@scu6DSGyF16fm$nqskyNrr2VPa_Uin zZ#4Y>L(+0CF}NuswMBlID{cl}Xq=?+Q5K0Ct!=;&?dVv*XXZbiG4<~xS0ct@xyFE? zLX;Sfss_gG0Bn=qwtA6Bv@A2WgTW)^xRrLm?nI1@XFRb+1}9j$&}{H-D_}PxzCDP( zREn{z`bInYRqxUiQJ{~vtg+#Oouy)xi~B!Y_s0Rd8DXfAwnM;-5@8zm&<&Xgs& z#EM<*RroSvG_R|hgS4}XyXxzUXh&PY0$)7)sF#s_aA#l1V2{u-g?-A1Mv6s9B!^W4 z00xi#Q&nrW+dP*XpQJtJ3W|JARV#vyl5S zNJ6prldmCW^Vvsrk2mn(Q1uf@3FsAi3%shE*-jYKIh2u%0dpL^hWFH-An%aQT5)s| zTI)(BUl`_rX>LV}^x2%>mcwgvy#Tf-89oZ0vL^V~M@4%)NZ6y3AYewqZyd#IdVxV9 z^%Skzzy?7>lZWz)uU${k&BSj2WMFXjM3n= z#+sdZH5@HP^vwK6@kN?rzxcvP8Cx@uhQIahurC$EwC$gO%)#ajHB}#ag zYy`JhmZtk~Q&>%Mv}(iYp-2zgSOg0-UFd^S8+s%F7BSYPLH_@UtqbAvLhVD)YB<_H zEwW}0dH(~33h^YH;rfD-qJHntO#ln4*MNpV4E|X2#{7cAqH^;NNh;W z1VZIf+$h|R9d~*)>V6kL=$w2@2I!p72}OrFzT%?7EuQdQ;u;$z+?1k!7TQ8q3cv?@ zDuEQG{yL;$$LC`0KD=`vA31+*d1&9>mk?6qSfB#6(Xh52S+oIpr=CA%P>X`KHtQEc3~MV;FFZb}7Mr-9w+H*F9E*p!l;; z87M^zH|qi4#+ZwIGM3|2#IPgHxjKvu_{W_T$|=jeYtklkD?eKhFi;*Fu6et{eb!v7 z)r0`wbe~z;S$_UN)*brJO}Og2`JBTpz2sKLm*<9^*c_fQyag&3Y^lSjWlwMP;2ir; z5!Qm$yO#fnYT*+Bt={y{oTKF)TAo!02+W|FUI}ADd$csBx&K`6L3>BU6&lOchURJu zcj(bVR&FHowggXuBn%*B!>_o~5R_*Dt#3cG$8U0=PsjgMzx_xLdr>=z-nv1P8Xod! z?*Kb-BirzhU5bsJAv125vP{eXR)V_lCB;oZsQ_bWtj{?4WeWM_9^3b# zx&Mu9lZfdypoF@*1X~0k$Mnfru)P&y@5YAgg~Q695zPLyvlnJx4R9qmg2fooo~`;! zkUSxAgL2qI<}8&7a3jsUz)`2&5pkW&RM_m?*Ece)y|+PN)!H2T4*2?4XvLgW12hR*fdUF&fPGUMtx4C1UfqKy5S5x1#O2>AH{>sdi9e+gc&fv5I5;Tv#d|(FytM8 zr?7o&F&u5GD)MKae#^kZ0l4uvgw?sHzqWW+mxfg)_dFzHb7(;B&BC+78NtGfIv)1CZU+bMH@Es z$FLjZyvm=fI{4qB1LwvK<|Ah#NaXzapO7D%9@EsL;oZAL;s>eE{~+4|rE3Yp6K2e|IzL0v++6x`Z(h8n^Yj4T&>1~jpGcD}a>FA{?%9b- zc?VU(-RCgUXhd)1=o`mnWGDlirAVl{hRs{wLJmC%61!iLn&r6DQ#uc=SDKpT3Cb^Z zHcR{jU$OJ7EaSy>OQA?^&SS#^D`p4mG=iY(3 zjE2S>;b{b5ytL?F-}n71mszn$t_xQ+CN52QBZ1_%XO59sAWuZ5e)r!y~ zWAmY-?1Mu0^_2V<{A~TbK&!9xWxSl=)SK2Zku1-M&tyPy)w4F)7EIBA&C3{dKCROpmQMNLI-B;#Gb`DOpV9|7rY6LOL^L0GB&vy*t_b>_mf#O{s0MuZwUUFFP&%d#v zJaOWcBb!}ZK84s-2Qft$6xtNfg;B4s2De;l{UR$4cgApxT>1_~%}i+JZEE*$HmEX` zD%=j>sjb1cN_`U1^XyL5OI(e)d2lkuN~In1CX_%nT5+}stV~pv_^VlW*VNOk=BS#` znD8>{fO@u~cXO_ZDfrjN620NX@4QjcIWSC8zGYw`f{r)lIPlZ$y5oU!#)A7rrQZ}C$s;$PR>RaF(8g_+$q24^-wfH_Zf?*3-;m*HPJ%gTE-ub|S3 zY;_^l6g!kY_FCh_E_4wW3vsW_%{8neT2FfUydI>%#{*}Q_7V2@P5HR@C!tY!_cx}V zZd%7C?B9aoMBJj&W9ZNsqhx0m#?G#lkHF~s>VN3B<+53W?Twj+R;K2~ZfCc}V}k?# zu}J+5s*m9hU&zX4-pqV2Zc^ude{`CP;j78v*e+%xPAfGVd((nww%K@hpM#J zN~Rjo&vX238hAl-g3clonEt$~`K+s3%wXo@7QS8OD2}@tJ)EBTIJ=i_F>>C6?Y}`f zb=W2UC3pIE<;666ROVjG9paxhNcMTcSO3Dvv}^wPdHycMOc(V*!HRB|2B#KTD35Fg zkD>fo_?O@+b5?m7_wy>VZv%8?c4`3>du^TC7QV|A3G5_aaE0v^9K%^09Vo}~d$eKP z+pHI|rgKG_JzJ+VtOJ|8wEdUrM4)er3M03so33(FNwl3a18-u z4v`$~`;Bc|BkHsyEmzf{Nz5;b+fy&_R_LBUzIcx>1jN286Z_;=#BUSN7oF)YtUTfA zDc~(N@$9th&amsoUVU)09_CP+cM%Je>0Vb}Wm)GTo;2YN&9(-*`utj_tcpR_MK1D@ zvVMkzitQJh=dRP*i3Q%ra;N{iLv1bcm)q@ruz&e)Z5nXafz0i!$K$s~^kA%BLs5EA zr|UdyPKIu<$ag>JxiLb}BJ5k*PQ8qA4$By(F+QUrBgw)idS*_HS?NCXX_hSfVSRe%rL3Wo- zoYGzWwqq7M=MGayH&x3R4|y{!BAfwqMDxF4n!Zr^xSmeV5Z2O&$C^7R$!)BWbp4b4ce z_UlOa%;F({WYn-s-{YvtRj&g+ZW8c7FW49P-I_PITrMrIX$CC~e&puQ&EK*?VWm#)ByZ5GKy_9u7 z6?1d8$2xiK@VDuoXC&F*1oZ&26NS#OnDjcWo!Ys~@a0%95Bj~s=44xT*PBQ0buBGy z9`=;BTW!qBv$iStZAsPQkWMve^|zmMg7+)WSQQ@UldI%$+w`Tmv08=EBtYke^G(N( zQw5#g{L}NF`}u{b%_`#eDj-}jpyd*`#5UEMh*Y&p#ONQBf_Ye1EgEzbJmrPlP9uwk z;@P7pDHXS(5k(riS9PwUo~z>$QtLBJs@yMoiV99tmWZ=V{1n`0x||WWW@R~4-96UP z5G%;Kv+KKvyf6h#&u@6bG_iWA2wt8_Q>*h<%2e`t4vE*ed;C6Za72N$!QR@7egeal z;_8kv>oBT4 z*RvFtpL63bcL85o^`Ln1(5ONaQI$ys+^Jh#)GOD@Vh9D)YXcw^9fYwVF6K->9FJl#x-5bZ5UB6T$8pAS0p)=>1uumTd?z1;!@u>&^X z?IuOanv2}n2Q7BeCq<7Hv$l%0(FhOu8gKMQ2j7`0k@x33(k`soVShR%m%f`K+pcAN18j( zI(G*@8+Jm!7^X6Hp=p&FTT*tOV&*?8nsLm`0N_`GXVS~I`!#@VM;+@J#Y{6K$g0dx z=V;VR&t0fceL%oi`R=%};4wQ_m`^fCdFmBwYer1MCz4!r6Cpz4*Z0k^96%C%3k(S~ zpT53GtRQQ#OD$fYA~E2UaMq!g664R5k?}5h$Q=*{K~ey=6Sn1(J-50KJpaBoD=lYt zc7gDFFpGK}JZivr z3-s`k?Hb4k5c)c|u7br^&~Tc6nl`w+^b7+Pz=f#;g+z}1y6NuJMe{-M3QEr>1>#-W zFA19&p}e-Z^~opJTy#+{zlj1JdMx5PM5PuC_}EMGDg~kHrXGE$pl}n>U=g{R?=p4! z5!z!?kjN7zQghnl#2-}mbgBF4i>;2-mMPEbSrFoXU*<%3LWAQWjKukJnn${4lDrQ86So`lUk(@c>^T&1-idn{eJAy;M{=Pg(P$Gkj(w~L;Fh`ux;n9yxB$D; z-bZ8cGRp)#wOt(jt81r@M~dVPT~7@kJAg{UM+vle@S3a*YhkM}L2+b8&m8T?+F-pk z+@QLW1k#2bt+jv>4+Fw73_bY6AcmW;{HV9D1_(0x;o{>b3Q{hGhZ~|fWx|Q9@q|I$ zX@e|d82Su`NjV(Osv3zy`Ak(|Zifc;eZkvCc(|_5cW$IwjY;9X`qJ*hxz&s2S148{{(009=V(F zU#4HfMCw4*ZM}RoXBG9j@JY)@0%i_SE}U~J1z|$OzYRHxsNECC=NdXZYwy;${C(YdPB}at9v@vlLgLi6{rc10xQ-F6 zKW*WcT|6d#c=sVI7$J$&S2ugSxWRxF$52PKv_ZUH1%KVDipA0}zq=#4h_ zNS)LBgmG`^mp`d@By7H3)*iS(o4p8E@AGC|PS~tor^h4oYTNRjkjj>!4e6d!P8WDy z3XEMAGe4#LhH}}&=CwimX4z6r{x2PuO8v8qztC`A1$rGLX8iooI4Ns8JN~_6Nkp}mb?Zfd|YIF-9x|MU#4-71#Fs0=Z651Cs5KF@^Yz1TH~GzeVKuaI%21JgRN2s0Y`wp@>rIgj=;7L8R8%DC5`?m#p< zD^5P(E6P1Nv#uM%T%Tc00GFx*%C0mRyEg5re(#uOcG;v_XDg!DUyiQohnaNRCnboP z+$Q+x(iH6#{KYSP&kI*DxB6!=MYKQoVjmr;qQ(REOJrvOW2$ z*w4s9gW&9J*z}r|opX_|Zrmg5|(EXzP!~mO9VH#i5k4c*Ms-#4#CGKk5s-Es{ z?3xiBA1{N6siZwdQ^R+D-3w;?o(HdSMEl->2e!OtnXiBKoNJ|&)&8J+?K+I#oFx7) z!6OQPo$DIAWnzG6{M@hbz46Vdsj=9*Uc!4V{zZa$U*C!Atu$8f=ijyqRv0wj->m7t zJG1cjwLP<9^@ldA_C9{Lx2WNPV4=5ZV z^KrAif5!Tkso%DbaGbo*XXfyc`aa1;DU5J7-6q&798$K>RS+nbmKqbEmslcS7h1Z9 z+ctS7os_jK95NW|o?UN_l{14dcSSx@fsE*^LGnshdR8m=obN0OzIL^AqFPvfQf{S% z(e3qSb1@NWwT8^@@LCVyBnBg-+E@!+lRdXis2TfsJ)Y*eE3J2F_%+~xV+D{Bv{=`* z7McX&J#V5xKq>|p?<$!y9|)stdikzjy?O5Y_vAeuqF+2)xMN*bMZ=1t7B%0eqWLR2 zYrkcjU0rqPh5Xu7Fl(vCsqjNZSruBd&M#;bY8nLXbNkj< zxyP`0J-hoCnVyntBrdM?ZZn0OZuJP6=h!)p)>%N+&`vVamt22EMf8r*Cdij&DvzxU8 zWwIV6f0el%Zz4$#}#74v-y0dP29%l#6-7>bQe64Ib#or>PAQzMm;9=+KwG93Q2BH_v|`k5Xc#y zp_-#|(%P=8d^WqxNt^WQobTl)4-Ox%YE6$~IBr56U!gD&Gq?5Lk2@$1tb#E;f?7cL znH{o5y#Mgqi^-F1mdifIKwd^mnjK!U*ei(?(8_+n9-rB_p=%1eP=N z^$u8RaU|-&LR;Cpjd%2#^Ajf{QX4Gg|8^{`sG5c>{8Zc@WMTYJb5sr){~%Cd=ZozR zwI2MA#S(|5Bp6Pu==6ozs5%*E+~4|i;eNIHza$@Ug0phdHh3FvN2O-G(IQ32zlL zJG2r6l*paV|9+v*npqk@jdiaW7PIY?$J{HH4&-MK=IY3#<*#^L?zSo`x`Wj#@tB}( zg07#s(vWzs`9Yl$BV$dlV{i(vm40&7GR~x~(tfs%T)va^yCb=YvG(Ck^2&FUAGxSz zw_;lf91^kp(h&XYPiyuk7$lqTKPhnkrtsHYpnI{NXQyEL{mL?Mu!i)<&84nNtU!x( zHYF!NMWr|vPyB5;HZN?p{mkEjIo~5&a3k?bX}7H5RsKlr-En# zy3K^FH6gd=(YD@LI@w8@eUuLjiL;JjS$r_h;$z zZ(+V{wbM)k5(Au?xZ3LZ=JPUF!0e%=`suIZURGR;|0=VbA7}hTd*}71O+#u_hw>~m zw#Rh+cq9D#{RBPs%FSio4gQlBCAF&%WQyvyMmyJRX98IIyNgao`=*q+=&eIwc85W| zc3`!ozv0?N5{QN%Jr@wrJAGvao*{QDhyvQQFT2-Ku%BwFKU2 zz71H0Le0KkzN;qvOq%4_n3qbe{N`(gONWJrDy*j*kXhMHn(r*Na*x~-o@r*3yxwe< zcUe~2x8o^34X-EHU#q_yhXyWq=hiUxbU^7;PP%q?`Pj!fXlRF2uIJwIaVT!^P@#&& z9?o%bdm6rJKuGxViP>=Pm0`n0?_I%>XSi&XoII0Rl{RQX>xY2)WaVmh48q-FtWD9K zw0f=EORZ=Qd!#^1cxk%NDa!BCpLXxa&eh}}nWya6?lLZ@!0p?Sn0bECc8~8$koDO< zTP}S@vG(x7n%$7xaUWQ``2H1EZ-B5zB5KcmYh$qbN-xCHl0%$1W4jV^3;5s!X=GHg|e~OK9455jJ9IGhx=t>h*Ri$@u*H zXmFJfV=WiW%k{jbemJ*p2);Eh?Oo10E-9B?XDh79U9ojw{G6nxj?Jd}rQogREG~YOX!`!bj zdT--!Oj@ch6ox~RQyq3Qo5}1V={DXh_xnHWy?Id7=hg<;N|YojXf&cCkOU$wC@3nj zb*m&00)mQhV;2QwRX`A$%@8GC1r!xTmewE;RQ64F6a|%~S!9Q96=a7-wuWw+p66|H z?{~kdshO&&nm?v$D9zgInP-t;RjU_|N$Xu`J@tKeTNm^0Rp* zmGe)@5|4xUNnh)#K;v&|nrUzB8ShG%sjQ%IML|C)w@J6W{vU8;WE?(n%WHEb*J~CC z|F=ts6-dLqB_0$b8$Br<-UOEiU_mS=@=fPPL`{ z+Rn__W%cH9Ca#nlXW$3GxBTIw6~4JrF)}o?{->Awwnb>hl&6oP6t_gU%wgVU=0IAW zxI3q4eQ;ly0&{Yh`ca3`0L5KKoPQ0(7hJM61NnBuL`I8`%UYfU^$%K3!Fhm8*=uOPE19j_aKS)M1XOxWTz3B) ze|YV{G)|KVOOgl0^wlQI!S>|;1}nyAW~ia97h-Htr6$8$>vfC8G=rP%s%+VO)&r|F z?x@DvBdN_qY7nXZ+i1hZ=QiUl6;gO z$Y61X0s|8(Gp4A2tg&6*c)Jnr049K4Z>o_dwH{q`qAxMS{>Oz)$~-?$J9J$-k$>z% z66^3QNW}?#eW%z-hr($d!M1VS(lol{t z{z1XgWV{5B%^b6?rl#gO#`-z&)v>^*_T9CEU!O@Ruk$YyE?RwwQy!&^sF5TUlA=sx z@M?P7j)|2G{3o*|e3b4HiLP+-SuL8PDSTaw1ZG$Xn;10Ul_3gUW0@_)4c;_QPyuX! zpb`ucr6%MoiwGzY<6=AN$v)BpCdYRMCpcdO+lvnKV#r^0@O zRFHz)CQ(w;VDa~X|3vCZQ>*`#`5?;wB9z_#!(`U~y6%4%!~c7I;s1(?lM>w}38=uC zFWuxM+}w^s4yWlZQHA`H&GRiUpqxU=3zQ(UK%8T6smL`)-I%NwL=U5N92Nw0A<-k? zO5GABDsOmYpm4ORG{A1ZCgUz;i_E}F^ z6nJ`gkU~6o`yw(H77r5P{U1CjJM;r2O7jT0dN`>nD+K-JrfaRzz!{_;_i^_6d^kyA zFXQIHJJw#LH~qbEi%S;CMJ^}YOeZA4GNm&yWmg} zbs+S-pNu5(K~QE~vE7|7AG>%OiF9~h)Sa3w-n#)pH+yoyxuT5YfpB6Xv+_@5xWa$& zwO)%$5UG6;&S-M8WVg0n!wYriVG#)^mI2gAyfhK=@Gg}AY(VuCG7drPi&Q?&FNOz- zr;}gwTD$1I_Ni$~zSY=+vH;plVbPUJMwrswp$rcwD* zWq5^Euw!geB~#DlXJUyTH%K{!(Xvc z3wJnaBI2TWfYLLP6TJ86(#4%!60!#Ihe=kkAY(CirOj?acVlhYu29W@uLQfDSH#Cw zH>z)EYW`5ZE_8$bj;W`EU?vy!V7P32=gvcJmMGXAce;1=Ik&c5T9%RlX=94;4Rf}N zX&8@0U|wc3qjPZfZ=1Dj^!6seu3;{^7y|l+R~oUnz^y#|O&&M7T4$Q!6Bd+L`Dv`B z7g{vEM;kRAVmtXh(I+OLEDmFF?=sxv86Q@Ct?E0|1ZQ90&cHA2UJ@x6&IYZ--0r`I zS7B%lP1qV3?+Db4s62p95>!L9g5~l5V*D7$K`|YhVPimfp9mwQB9Bs*@J|)CeGvWx z8b?dO-f)$tN^@F-l|viv)aL5_$jG?bBuyj5K!3Sn8?^L7=thTsmGP=EdvR{V;BdbL zWgJ;G0c+vh!Clwn*eX3m>+jDEyyz6A#eFMi=DX`0aTTlMMeo%PG+Zm!Ak80s8pcsB z_^s7@3v!cglPs?rAk3>4U$rwAZ6-#$a`4aqwr#(APv;H!Ngk+*I7t83tB*f@ib;6B{a#S_g4bWe+8e%q zl(sdZ@~dv!2U6uHiv>fkc|#-Emw&$Y(?r&oBaXwM{e$?2bh-7hJ|?;hfK86F9@$eL3)9s%XE|NA;_WJcW?k z`&qB41s$i-_Z+%O#om;HRTc=*r6K4=ztXy;RWR57mR<-_5;BLfrxKRZa(YtV?iWPe zFs?Y8aY&PnWb@8H)gxhOPjB>(MdGUy)cJ+r?_j@4DwZ&1{+xV02}_94z&b#AF=R_| zg?VOHXRE&Fx@N(%E<~9mef#R6PmM+*BO}hjvWP=0Y@NuqsvwIfak-PNxE)fa!8M&M z>4YVMaG0+5>%X}Bs!z0Sfq?zJRJ;dla&1_D^3f+kE42JXWKLyl`m`CyDzMYS1wFu? zhJ{+Q2=&~Z<0c^(05#OoLRd1Zg_(Z$3!rbiZg#40<1>z^ixqv z-d;;>4s9;5=y{UgqS??q7_x1O#WH38^|;j$C(YY;Upp72+XCs(0<2~i?QKHVEv5Y3 zu!mi-(j;sopyEr&IMy25q{3)|K}BLv^q!5WN1uEiDd2#WvxT&%HV$T?epq+Q1Jxf$ zQ7xz`$rv|SGMr#I4sCNL+TP!uy$z-j6o))gh@cub+u=BXfEGeAA!@8k^3cAxc#8Ob zFtiBJuAiAhgBZfrf+WILkg9nbI|<5mI&OfxMe9o%# ziskUCtEM(8ulhQu{Jo!%vhy&H%apv`@Szojcc zOuiNyf^{eTXi|Hj4{3D~o-WQg|J0oQ4@X~ow_BuuCpghJzc{>&PmP|N(_hHLmL@fq zLC=+W0Yr+4bo;n0R+z=O*Q9scrW$(pxDL zla1Az-T9|XFTJh-OLD#`9sshrzA;(8t+mR+dqIQBG@) z2*K|>U_86mW^|B*l75*CCQr|7B=({46oQee)mT#{#W5Z>lic0Si?_&83y`~ zm3{)cYtD7B;oXvPI!4d1LLDFvQYg3ly|*wXbJX#s*RjY}R=l977~@>rvmeP#k^_r{ z1R=lz^#wSc*Y!w0uH_Lr#0qmj@J7`%Mew(V{13?Wpn9w=`mqAN=r&KV5xW9Zos@fg zDM!0V#m~*nt#3D40!Vs?o?Pe~i}AQczd>^tz0Y(lpZZ(wF+j41|Ip-e^$=oOPN^e{*3Wqk_jsf{D6S?meFfs`5KPib47^RRiwRfuf2(;}};hMS>SQJPxX- z=+h3anH{xiIWx9cZaFNenuKq%TCH3!UuD|*%?0`sX4yIF^6fV)$V}B{t|ay9>8uKc zEl`c2-1yiU*_YX}4(g5Ty<7O`JZzF`v!1xB6sSJL_Up7#R3vc3-Z&Rl6wV|h_}tzC z0@IXn+96?~hc{QTOhY`vs>Ex&=U^|`Xd3(j_^Uc{T1&%sIrnw&OW(J~f9T!huz>fz zo4vT*VDjE%r<>U5@YOMe9dfom{t21y(#(rY;mo8vwW zU;agxbYPA>e2>`WS*_ocR@)tIPFsA8rWzvlorCC>*jZK8EipO7%Q-ixG$f!JwP;OS zzuYP7bI;>_%$2p26KGaI{6Oql5&=CtPQnStjzMBPvIQ@p{ycP^lf{BbyL?(ICb%dlY~Odzlo%)UD8$x z!GIQjV=37QSATs43Rw}AZYNG9OYI0;klT!~^+QwzJ4^jn^^m*HNeD&^(^`-3j@Gzj4tnKkJH9{4MvI0zdlvRPdTi}(Zt zZUPqV?yu@Y+zcS6VoDEjdBR2o2F%Qq-KPRfS!&)S>>{HgCzq)a2v?aq7xZD^U@q6OOwG?yZG2Rkh_2Ig6&NgL=sDaiq7;0-A(9s<7C2ITjIRp%il%8 zebJwnyb&Ticm8Cv@6oHBCWYWmT6>X2_lxAliDJvR8U>E8)$J>-sOv6mO+$GI54@q7@lf2r;Zo{TthcH0k_n$6~ndm^dv!7ocIt0t-zuZ)5wXsu^TdHqYQ}dD{_{+aM z7lM6ZL~V*?_VPb)t?v1SJy-ENFU;$TF2Bf#hh?{(x}IWsKcRxEr1JJg;Dx|ZR?xw~ z%5kLL6}|=@gf+#J5)}^|tBN6=U?9Mm%tL@s?G!a<_&%sxYZLOpC}A5Ra;vybI+T~@ z0id(J_dSaPvIfb5ub*TVfj16nJO6G?5t6Qb8+TLo5Q)RN+t2s0&M99mf_wPxLebvQ z=YisivZf+(WI{Ynu@T^g&{IIUwa>eVPT3@YeG9)h_^;+1mTP+)kh&m946eEAktn(` zPj2!LKjgo`pTLcY3Yfi)3upRyPT^~%RQk&g#k8Sa>nD5TrG70rd-VBr+Z#x;f7p%$ zM0EeYu~V#b2=sx~kwAk~fKLKAo-`7Ii-g-@J>ZCdej!=;P&Y%=8kLCzo)>ibS^wDy z@8`IZh+-fL%Hu>z3ryPCpPxZ0*8NY5)aEW+NWh&MntlpsN)lxT%YF${Kq`*^kOy23 zovuniNQ|tk>*DwCw*Hf|4+gBLs0_hbw16AU8_h(;U;6PO$!-EwE<6iQI0xtZJNy`} za5oxuAQ}q9*j3AF(~A+3lKcA!Amu`qSz?`$G&>koBu)!V2HBwMe4JdxINJ zzwGG3EWocL(tO1rgG+r6he1bKo;Ezl+A@x5CHl*CXO}igi8GTL?SoPT`T`)cDeh|8 zfHp~MK(0>=X@ZOMf>659x1V0n08)fJInlzqWots@EU@6x)3?{#gB&ZJIf6=#!%6Ga zjU2O23NCnX+=9@b1o2-&^1+xiMba;USeO%Qt8i-AHBI6EZEC+uBrWwBBJXo~AibxT z2IPS>Jr5BoCz<<6{HJz|gl((7Udh=CF9MyKhhJ(~PB4km2l~oS>P*{}wGpV_+S(tK z8Mx2>Wy9JWsEdVy0lA3w7g^B8ik6O3H`Fb8h!_1yPGjlRWs%yB zxcB!Lo-__9S9pdY(vPhr*f(d@?wz@e@R}!+W1n$mG84Qy>BE~=UzeYJW${|eSvVXc z_qk!Y_B<^vL;xn&&>Ckf4sx6jv@)NAIMo3s01t^X7t*2ZEqTPSEfGfqh>-&TFLnn- zxh-7)+d)&oNU8D0R@TX+r@|K!p5$EP!V9T8TNT%DQb%8Iy)N^Lcu7Q2{6{P`DC>^o zaXzVd)88!%N4c8ZIOqr0^L}Qg%z=xX>M;1+pm*9`_=hUH^t61B!%dNG)A2n&d6iWa zgsliqP~I{%7E~`WCZZN6Z9XI&~dzm1OzWNQOWCTlH7Z~2Zzc$tK5q#5rG!GKkz(c z+UA>&QTFP#ptx<%IQApR6-@uQ^VfEJF+0c^IQrx(A_Gnd&>;oHtKqy5nR8-`Hm>UF zT))E+L3wOeay811*U;50eKAi- zbOCGQmTR-XAM1yGIe$N!|B=L>Z@EQ&?Wg}2;}`)#8r@$?`kWtIyx4Mzu14R`n4F`f z%DR(@X8;v6+}Hc` zOvU?Ze@92sNn{`-BqSgUL?a~$?$7KTz_(;GQ{b=M5@JnNLmxBz*qh~?*;@7S<0)HP zTi1^-uT5Quym#*x$P12*xiZ-+*ASc4as~-afO_imDMx%PBO@aW__`4I=*02kzZ6+8 z@uY`0-{qMPghy-Ba};Hg4ry+?5n`>O=9%Ag^vPY_xLdAy(KrR6Apkpob6b3lmX>aw zd=yz&_Ac#?yED_$YU3EIDFOSsd3i$4qW0}Wy|#D=JeRS~94>J<>CUxl*P?0uRQ(-l zY7zF?_uYDH&Ukxkfa!&`#aQ(9eeY&fnk+^sutl3H?KeD-hdfm5%M~D%%-lEwjcS^e z&GWP9i<}$YzJ2Q*HpMUsZo6RZzO*4PPda;>l9JYFB)f+3=FJ<$CbVW6brW<5xxWvu z>2Y&IbIYRRN;&-KSEteyhf|(DeF{Qza{t3LM7kI!A!AqDdu0WjmjLq}nwkZ%r+vM> zy$#x3+>H=qD76T18Ts3N-Gk7N7p!-Zo0(>Ntb4#@GCiknFQBL>nbEkyA}dYISs^57 zc#zO&iU<#H>h0-idpOxcEBdllZSlXVYHFMvN`l2#cz^p*OhCZ3d78R=n~|aoZeLDwRf~sl=_MP+HVe7<{2cnoOCy zvyqXJ-=h+BZSA7sjEu2TW}VX|-^qbS@@iCd_13yMX-Ne~H6QWC4K0YIds6~r8tk*l zGEsOlJ3E`xBy`%jF7p2UU&D}!R#ja+{7Y~`W0P0?qG)ZKfFoA+~DNjzI{7Ja1e|2+kY=sO*JVgsc|Cz zEXQxD*rBc-+27wUUVJR+NSFeC0eu|@rhNhR;Z#5e3*!H2!vZLv8ZoFbxH5F9VQJk6}UA9Y^K8a<95xoL!UP=9cTw zxgLk@-j6)5<*X$+Hg{^OEf)7-Cq%}^)&LS$I63|?+U~2eV2u`^XAXuaf4rBes1LOa zJ!6Km)`^1cZJBKHP-c1clP2YH9%gIEs7sh6`#D)+DU-*;DYkV)uz!TQ+YlVzJZQ|hmoy`t1I&ozGVe!v`w+(;nLX1Frl3JLLcJdci?oLsqfnH%;jUvyi$j*!oqUD$etv2h}FKo&5HD zYRZn(y7PBBCITzK-!N`Ezb+o5xfY{&&wdfbYUi?sUH#5Y8io~DieBZ-oCO#9CTJfI z8@*z*D#86xLqkhtZJBD*Wf0W*S+qvfd@^aFH`HFHi#V!5o zdSJ8k$50qG`Doh%f1Hc*Ru?X8Cvz7W+3&f@aqPVKsjhQPMvg2`1mU_oG_tWcvH8U{ zR>l0UNA3%!a;(-RIMjDOy?8HV3H`d;_-Dk`#3UCR9ys7c_vS%P7OM;qNBLUoFF*>R zN}=wT_`~{RAFiBNbdUtvjox$N2NM&M;a&cHtTL117c-rwd$MnP(CwevW=3Mk^g?c+ z?*u(++2Do#qnWLSn2V|^!wnlY?AX1#sgAKy(dgN&7Wsd#oX*-_8M89?1Nl+e5)Btx z^?8MX6?rqKC6!Mc-+UK#IA;P>&Dlq0+Y*l}O*u~KJ}AN4>x_K3o-u4O3w>6gOSnU@ z!c#|d+*2deY)tk}D_5>mzwq%VJS*<3k^g)dB`uQ5dB5(FLw#baXmt;L;mdlS-OQ{` zjEsq?hE*2x&&5I3kZ4RxcWJlJhU9lDkg4sNGiMSjzwm&QZS`8a<66tes(q4dt-hXq z6IpjuY|EVELN-IQek2Zx>b>|jGAe5DL{!{)GY#}}!xnBBuklwF`c7rw+!24+gpoa* z^iFo!7?QkC!y!jMu4?QTL`JZ4jH35^xGF`d-Hu1w^=0!T(`?aL_V2>~&xv4GCqveQ z_nH%lB>I-RK7=I_jTuNZsTvq~%-*iDUt$8%gBs2D*|L}3X5OB>DC@T)L(0Ky{9%yh z@+g$Elsg|#Z-Jql8fq;ROtot}dA5WaC<4yoOLn>tZFXVLdmvh8^zh&>2!la1u)#vr z0SC!z#DHuFDBjQ+B3h~jseR)TK}DCGJqRHIp;LKDtF6jJn~|)y*F!^&tEHse z=4NN2H9fbDkB|F4Ufr^3p?kph9-lwH5-%R<)-CPX?NMN|<4dWQvih$Ee@nF01lq8G zv}K6%;o)$<^%27`ZgP3IaMX;xu4%*-0n{Th?U*@<;_dhBGuScP8O_6Mue!OFc{p^g z@tT`zccD!RC1JB&N(3H&9~szm-Eo6&7f`f9s4m>ApVoQbNo53mD$}pGyalMOST)}UMcwW9<+Ii`l zl1BSa6a5Whb=zA}CFarnyXQ^6@?mrb%|q8%oDyy0IYBee91#P03lzoIeQ~rVJ2;V} zxM4#ZKZfRCtgNX&5BFgqaL~m=)gIOat4`N%0mbw$X1g@6 zu)uUsMJB?ze|#zyJK!D``^1Dh5+dXyetd@Z#bA~6nhuET2JR9)uarxB(c00`hFSbi zUD7`KuNP|vTK^R@G69f8TJvi1WHqg8H3E@xcUk%?oS3E~U%1G|7kvK7kG8a}*9M<{ zyiZe&(XF3dQ(cYCbEdt-1!o|Cvb=!@iIg}zQ{YkN(Hn0k$5l$2kM@mEu^u#L{ub!r zJoUC`oNp~1SEt7Hyj+K5tTm^iG^NTiR-0h~0)J!_7gJUINw=-hhOOF#MvX=%&CDEA zf7{*XF^&;SK1zRomEG=Af~>P=p9FGqTF$W&F1gc%9?mzJ)j>{)P5U3#)^YxYp_-b( z@z>UnCq~h_M&+>buF5tJ_F8+V4%hc~7BHGmr!lK7pvDXc@fNF^oZS#2p^kBX0sMXW z@+Y?J!UY~zVGw?~$XA#va~hgDdEVVFaV{BKsfIx#xmYsi{1cbGRqr5saiJHYt?g>F zvU4YR7gR5^*4}Y*+v4%Ksk$T)NmU_*;^+V};l<6d=H<3kpA`S}tZ#fQZJ)Xt{b8%4 z?Wt2g;H(9duxEy2!2slry`FOfHpc3}J2*!y8Ct$Tqx7ctv_20&#mkhh7F8{taBQIa zoS&{Suxg%LukPcn2Fbg>e!85h86)98UQ&j^%-{4C&)MGou^_+I(OW}~a_I+Oi#2Av z!W)lq@B+$bMJQZ)_w;K->+)dcI~>2C04B$q z_w@F9PWWCO7A;=y_t&~wTU$f?d#crDr(R5)73>E5Q)$fqP!*{v=_45Bd`}6ep70W9 ztC-&&d3ETc=FbezOToOn)@0ltYt7Ke$QI(W*D9VISE73C^v2mUHZ~@4^y{I;_;_kxaM2s+5cU)IHRi zshup@;!DiYyTR=DUtjq>Mj9hv) z-dz3ec$DTY$yE7{|(?g_DdvSuo3Go^F{M~6fTL(ZIx4R)uDbDWQ}hmFl%eKpBH9G#z7 zq~^+XBk4p|;_~-UDq6E&()edJLx<;(9|sCr_U>Jgw8_>`v;~gr}k`*L}Fh%J+DPfg%jcL}_!U;kA+(H&&|jSM>hz`%9bi@}ja)o;0;H zSbFe?$H;pNFL7o=HeJ7#03V!yEn zkSMEMHA2zp`Eb*1P4n-AJzq7)q?t@=`NZ{N?e+g16Qt={Ixl)qTT)mPNcOBIcw6wnM^w3l?Em{k*u&rU)@E=943ub_fFLrKk)mj*58S~acy0I%`rf_6p zz02+>NgpGr)vNQLKBm(@&CiT!HXsZ1-w99vV27V+&s&?42uVcE+Od zi}QB&Kv*H6)e(QDW~~FPYF$ECTQgp z`iQA%Ci0&>Zc{m<(v5DJ($WuS%1US&K;01MZj+1?D?|FK%1^SgMG=miO|3w5x1v^r zdS|$vJNIV7Ks!tQJle>=$lx2=Z?$=7Fg!NPx?VJrvtm-n6X2&O^<W<{ngOx-4b*i@w3Z0=ijK zvz)J^w?OMd596Gs%!}&m;df$^j-6zjo;2aX2oEvLmW*-<$KrDm`ojofjR!@D79201 zs%)xe$Y@n;opp0x`M^bMCu?{n?{lUHZ&Y1n53$^*$AbfcX{LEr=D_pD8O2#y6MNs! z{Oy~Vm>4Y4@x8QEo$0WGqx-@f>EqguZR!swp3>wr>MPpRIuyiGCBx_*V zGQKUFi1fV^WVfqtYPM~5lvjJm;Kni5qW=TUIREeVd%HcmJ`O|8 zE41i%=cQ9@lQ2!YxCRw<^_iE4?nUVtJLZwn}}tiMZ5Ef-u*3Hciz!gF39QO$ShReg62G)T6~oOXXt2k0*`V;BC=vRG?g)kstC z*)Cs5E-;=6%hXbXwZtj0KQTOaKJy#lkmolq8;vwSapD}?=6+O^DI+S1K2-LDG_8_2 za@>R*o?n#QLPm77&wzF^xr3cCa%aOg1gt>*z?yF)Egh*o>3hI0fhlW7)4z79aMVoP zlDSiDd<3vHIW;9ECs1Orbht3s#(d+dCS-#a1iBIm3eC!=O31#ixZLpK#S8C;2ah8& z&ODW!Wj(&K$5fCR<7Tghy~#%?ZYsUC@5p3ZPh#lxS08!!G!L&R`upO=em=d)a=i~` zp|hGpk@6qf~h^!5L^W920tDl`6=dj7IS0Z8PNuJz&)=lk;=%*x&tp5 ze-sdwi;Rx0g6-+?{F;(>hF2K(YSK-}b_m2C+KxTcnFUOMA;&e%Kot3!8O3U~j&N~6 zq4o1b!I1|QWIuuUTZu~M;Zy-f+8Z_J_}OWgCw4qyW3lnfC7L=6DN2ruWyuoC`+g*x ziK%^~RkWn2!EyI^dZ_PH_L+ZwPLF&JG7~Caz$+57WL8y8Bz?0+8{<`l!78alI7!=p zA>|Q5Ri-#XrP1n3jEUB0cH-xUYP)swqt)FK{`XBaY?c8jT5a9avKE1F0C_k}f^7(L zO)2?Ww5;V7Qfk-YXkKjgq%mXl`k|ZPY*2>9*+HRLG3$G;#KbX|P-2j}y>ySm^XE0l z)zJ@w{h=O1(3T!SRUTUEYeDIY#)FieSR&y;$TGlv5j#J0j#rqbI^nh8fm;)n{CN-} z;5IQtF4FnOHs3{-ak3bKa=r=7B}Iw2OQ#6TT`I&uR2uw+@kbpld}yp5H*g$&5#)aN zsmc?vcyV_oAdT3N2+*2ui{Kym>P83%8jJ+!lBoh@$G0?0cs=Bjd(#un%xY{RpD z2aGiHK2UP(#S-PyZ0eT3>(uf36sy`Bt_<$pk|hBa)8tpAEPc|+lu~?NlI|Pm$XM;) zz}d0p6uElogLSW{sg#&oqgAR*g_%(u(s6bwZym*>5|K-CW&C6L*!1)z#+HQvB@# zMGI8c8Ri`T2tta_zFq(FwE!8Zl7+x%gt0%bL9k5}Aq!YxeUC^yk*}9ux>KzFM4FtY zuw6J+@}vG-FFIb;Jk$x|na#HyFEd22Woa@}n7b=2=Ul_ONnon{?GqWUql@R7|E!+DhNN&W`m|2L?7>imrGf55|xZhbovl2O#J(r z6`0of%LS}K&hOH6Xesrg-g_$7Xs9aC&Lml4~XzgOdSfg?Q^$h_3J0O6gFjLK* zJ@C)dm~X$LIe!_-f5i$7(YJfZ8fDf@1W+JvV*%TE++~I)>8q zmumR3SS0jKe~V9!KNpwl4wR(6#ys-O5tiCPrN)xw!_*o#lvrQ83n44n>LP`!x2P_j z>$hWrk;*O7q{S9JV7t1yyhieRUHfVu4z=ehiZfJ_cFBJuLQm^jhOBbtu>P}#v`p;h&!4q~v*WRaU$m5!S5&ycK#}YVr0M#R z8|FX6TWgi#S?+>dG7ON!w94y+bW5|Rb0Y6_*!c`B2)M1cRC z(W<{JCXVqOv4tVH`4XSHPUVn3-vJLVBIm|u@`+{ju@YV*8rk;VY9|?_%_-)Us!XlS z%EkpMhOu5fkwkP0bIS2Vn~J@1d3a!OEwZ6C6pGFu8QuDb;yVg6!R+ba^~lAMZ+Cn; z?1srOPhJ-AA>%XsBL>6I4*OTO$Kso~Ul^YB8(3DlZRI9+o1QFuufN;R_|iH#*wx+K zur)vP3fsYWU@k=SxFBFb4;ON_V1O6Ky__k8w#YxL4lw7R@4`Tk&wu;fzdOcKC}9fX zBz%(QDR^*EK6%hngC)dcpby>16@@pA(p*(4>&aXE*8Bea;b!NJ>oxE7eyvA8xPnr< z6)U_}igvd1wN&w#UY=L4MZ{L^D216e;h-=o)wf^Oc@KUsZHsqv>Vc5;9jV4kC}KpO zcjD(kUQ9=!n{p~v*?4_YmwEOi>r-~&T$5TuzF$Q(3A=jyoXX4QWvO_3@6uc(x5GfZ zfMlgiG#Vs^^x9co%8B#kbmZOkpHUW`VU>8xb2+|$RounPl{Q>#NL{3BtZbL~UdOiI zDtCVVASX5(=syarFS|K8A!lxN*+CLIi>sS{%~n=YI_>9IJUE4zEvjnt=86w)>;?=p z&t)gUzn?$F5oFkMEM+2F7SFb3S5fpuD5TcPkujc%&Sm>)>f@||=hBwSWYE~RDZa>v z7v$rFhSZ&1O>}>Lr$y_RwTy(LPvFXQ6Lx6UaA}HnQ7nR~qWD|w90$t^(Y3rMBu0x+ z?ruUmvg~dSzzFqSZQW#b39mwFaRW37I}M=I(9l4l#fWtv9)&nCL2FLP+9FM8lbQzs z6}-?CslYxp0uD}?&zi$ERaIIS`PCJV+PhxVpaT&;bmHVm@9!K_ng_kmc@?qUW~#VH zS$Wwe(_LpLiB+XH6#EfnUI8ke@NBITLr7LVHe58*6Gb8bKcCY~IIiS;uAutz%u((` z8lV_79B%@Rhu(M>i!dFW9h->NEni7jE^=&q&`A204w;id`=#x92biw#1U3I?lrhMD zp#BZelNUdXc1#31!P)t`R{S`aNYHM0ep&hm5@p~5rxXnvfeJxRm?_JzmW&N{1J+^M z8L|$AlL9$zHZuGNaAD56Fjs9Q(?{9~;c8q9#+v;`>xfIXX;>|oBXk5w)Ub`|UgDNO@ zT?D8K#$4Vco=YM8D0rzGX>wW4k1h&~jN809V<(+ic@fPt;kZ}- zyU(#%C-!)#Fux7)C=`Au3vvV3l$Fw1Q!8ogdW`7oogBJnXoQJPY2TWP^**RLfG$!6gxfDm99&~tzly&?N2p4~1o3OSK z9pqq__*I%blRPXS&qpkXZj({)8sQb==)TPpBk^M55|55-#-Yv$^*a83uCqOl-$i2@ z$Lt9&(+kncu5S0_eBvK-=^hbGPB=Sim7TK5AH(9u767u^%Aw;OrZfi9Oo7hBPM3`k%C~U}O>Fve0W4EmLJ?#W-!>WSjxgYc-hMBi?`22%w z%X-j2@c_~s;IJPJK#0A*E{ju(lG3~Qb9zwzncD9Ix^Z<4CjkMmaFHz#&RzS6w}7(v zd0hC9?J4_4a>YbEF)&{@a3BeqXP=x0^M-k5ton>IOIMRgdKO_M!(jp6kT26bHwZy|FOfZh#?)u_hSo;>bY$mwZYf=Ac5URhb` zHD0ZT9Dz2@3}QXGgOJ=jVQyYMPXvP6Bmvnom_vh#)2oo!I5n6YD;*WFwq<0;qEP%A z*>~_loQBmlV)IX!erS2VUj3QyR%Mt|^Q}Psc($^y?w=BAWxGc{ICkj#N*!vC)$-b* zXdLUvHaTHoQ3C^nHJ&qBt1kGoO%*^8m0fost-4D;BPVCW-b6(bI8$1U=Ql|{n!D-& zqCY8#E>Kz^K?nwe31cC~j*5(Y)8CNDSa%9RPcY~ z4B%I!ew_6T<|JMoCs|e&+)OBaq3D zp=H%ib%y+rjPK3N46{%AcJCa8#FgY1??MO8JB<{QWa-eQcfcDWqBs36&EM5EL*~!e zJr_PE?K_ia<~OvFP*+&S*iq845$NbUw+*F2{8Kz2q8#rXKnoTli9~2k0BP1aP=IJeO83!E??0}-))p}Tg|@IdrtG$hI`+$mcIsZGl0Dx|803RnbvPxFG%AloLl6B1!!mM*ei&1E?W zyP@EGts%o@3TKC-S37OCjOOz(YbZ((Kc3vB<(D^^M@~#482M zoFgJ45Q_;rZ7^u%^lo%?U4Ji=VH~zK^bgMIqJG83oj6&qODR(?*iRe17*R})h}Bv% z!gbZi8op60w>v7-Uv01)lZk;!oRgkBnMy!HfDvem4XD$+7Pysk`7Drqw2$m;O6)03 z2M^A>oT%oloKN`g3DJMA$Q_LmLwue0`c@A5+WeAqWMEo*cS14Ce)*p5+ixjI-uMX6 zG<@*FmN=&8{zQ{Yv}&x(Liypbht9H(jvqhXlJ3t<9{3da9ht^&NimU$i8^c(z#B@l z5SMAIyaPakd2sCiUI>VZG(D1>1tV^{&g}UJarjDY=7ZhY%_Dv-;M7(ouJONLy>I%q zu8T{{y`w(k8#{tm485^RPD0vOyFVy;J?p{m1X_WATP{G-@5meXi)b|UAoV0$KgDw7 z@wKvu=CRvevr4BaH)4YWd~EiQXbDrW}y~NKk3M?I8JeGP@&-oo{X57T_1e{=E45x`{$yL z10|JKe;hC}%3*wmx>w0RIvUXYR`Tr4l&rbfP~oOnfdwl6Vu!FAOnp*d6fCE zy8Ysq%aNob`S&kcXZpR9q}=Q-yVdKNqFBOH4l`j4Jd5P`7u=F6zOb9`GWU1Ts|6~5 z1F!(SVPe~S>tQ~r$6gtUCUB*r;W5Y%$bMN%-@edSJ{ncihn}IHOF7OJsSZF@&Bx(f~R@5|X0>14*3Xb0hFf!15MY&?u#P z(YzyL`+J*D=Wa`#Oj|=)j3Uxs5e-MC%-Xssf*@70&}=HopYI}c3hNeiy%7^PYpbOb z!#5d=jfN+P!VPemrnIw;OFfBN?rUqi;rjLK`qZW0dlsw&i`FK&(*2uQ?#F$9SUfqh z*__rgx)Z-HW87ZSiUovsN2yY7mY|&3_-54*vP;0ych=`%&oW^}vEW(0+)nXg#QQp{ zF~yVzCS*IuA6^m5Ss_Z?+nY#$0@04IA!7W!P06N$Z9yx3Lj=XTQ}=ydR#sO0!Jp~B3NalapyDwAocO6v*GkHEdJuD;Ja)v==9S&hpz9NNi?lEH_I6#lRnty`n86-~qKfI=Jx>tn()1*UtH9 zs<2f+AmJE6g22{ngmalu+Q}>P4n@@1xS&4CH%5pW*G{da%_LuS2 zrBI4?YioB}d~|`N+)MLy`S@nbDESk0NpC&K9`F8ig|@%hALV1vfn{gb(4?taQ-JOW}4iVzc$rzT(i zII)|TirlW6`ueb44MC);IY8Ua=8s`y8zF%aupD*3EA?DlzGyH$$uDfQk8iZsRtcLz zhb`lnSft)+z(XERye&8KC(d6a*1_T<9gCI`jN})yeD|cz@-kYbt~AM#^Bghbb1dQI z0@_f=wAGAH2z#Pj5GVEP?uDMhf%M~s@HIbv{HQko)a8X<#(1$-KQ_{-NIdm$lGee> z^7{kQ9IVEP*Ib`>7hqCCJ3LbH%SfwpM7FEoR$Z60%q;f5BDL>k_hsK)%|>B)i2+6e zi(@M{3HWlgT~9x$GJd zC7+-p;%F#CImax#euQm>;A-Y>irA;9R@7Xqi}Z{0Qj&5Bo|1~A$D`Y!HrpBZxLLDlSB?A z8m}(2O@0ts-0&;JXed)+zI^#o&+jUhDExf0XXi;`9C19_IRp%e>lPxT1F;D_e*%IO zhm*4WF?@HhoW)t=z-WZC2oudtO}W^@P#)KSj?p8VozC^_U)KTUt`(hoyD^Nr9@|I<+@sq8`FcQrf}H}IH=IbK~; zMTJ}`2d{p`klwzB0`1hb0nf8K*;1wt8T(WBL{Pkk_`#2M->pjCpzJ<(lT{$>mvrL| zGO7zoc;e~;_FRnY>Xyi&^Kujqom}5Qxc%KrEN9|ClDUXKZjSDXi+&%@b|w5i<|cYKGw%zR7tu`kNF$A78YC$ ziTU+wM&Hl+6s`SOP6)@56m5wbg!M@#>&8{Cm@~My@d$q9)@q|gmgtdmMoQZ}$FrlW z>r&YR#p!_+Vak36@JDrkqE%t|I6E#a#feA0mgWi6{O`os)V!8T(SehcC((q;VQ-{Xq<}j&zKtZd}_GV=I%zs%e{~xOKpD;i`h)gjr@eMcB zv-x$pNt3jAzyczrcC`uBim-ewe&|O?Dfq;?75b^1_n~k!IP;BKzT?pQ^zQ5IZ~hW1 zr4UG=!}UN?CXA^!1tjtk<-eM&q7|q;0wnEdT34=YI*;-77w)CC5xQ zDY;n)p21)N#hb(umL{XiL44g=1$}~J{DpJWW1@y;r79~$_ktkHjI@83i-JDXY`|=@ zdjBPQy*0L?gSXTfEj2ivUs0B-lqli{0pyxDp84{rg&leRLO;fq1y(nmW@B5Xi^ymV z9T>rCk$18&pTKP=^S+@hZbeAq_UtDPd37rnWVhqT#O-zOJ4i%RIEN`~tO!XChH4Rs z;iOf3Roj2D-8jr0;SQnJadnO^cQV}XA3a)gO2b16mCI3Q~E|_i9 zZ{T9C57>)T(BSf;smGBB8^05XQZ+R@Pwo_(CBOX}?1k}#bhi8Gj|;o9z|VS1iF*TcE9FfyIb=bP=K6lGyVF~Oe@umByE2YDhA zk}~!iyRCkHFBdiHSji0!;jkb<i*`g@gXplK#_W0BE$d>KHoLZ6?q(kNf==TGr zPi+iMVJK%;K4`clC+O3|(}09)KiS-|u8%TN58`ADuDqpj*wf_XGd@1EN&FkZ!Ji`S zV&5PrbDKO4s#o(oITn0=wOq<4#$1%}-gv5Dzmfm!bV#GbUjHF>2@N0fAJ935`;@X2 z_9n^$2)TygkVHDrr=)fqI11Z&>jN%lfWjd$GpJpm+mPmYP5)vKWxmAv3?q@rDV3GS z?@I5x1cL_n0v;@OPdr^z*3prZ;7e8<#fnZM6}dQILbx;^udRvnMjf&IXwMS$rCHd6?k8q!1F{5xPo4!Qp58hldPAs6}g(oLC9}Mk`um$zGAMQ8TIg= zWFw~fiG7h(!|ZOK=}hk)YpaePIOLR;m{ok+N90loQck`yK~S_-ozL!VG$%zxOMxP@F*#PR7nYm;{>-J3U?96RLCd-u8fik+r&PiLiG!4t9R+9cy2 zl?|r~zJ4IK&^>=QO3~m{0uSINHs~Xrolr?@>097=ep73wMI$Zs#(TA0CDZ_MuE7wUz^US|&D1Bj+m=tj9(Q$A&t1u83QLOLX;#fnfqHssQ+x&@V64BzYt5{$Itbr>$UlDT)CBjt3qU| z+!mRzVS1PT<*A(d>8M6YYRh#$8`BRfe|Mp*S-#L+19@nNla7o5NZPrMDK~$HLKYZb z!Rxj@fIxgVd@PTW_Tv>BakuXGb0of2;5_*HxnQO(f-3)$cz`Ut6LokUB!8xoxI4&4 z258Hb8(@8fG!Bd-76yTuY(g&8$}P6qV`fnhX`*l8KS=vj(ye>UNk;t{?TU@?KMi&n7VN;Ss-UQevjld!CGNcAz>G83<&9|ZtVpv+Dyit`whxk?MQ|R zSkNF)**X=C(-9Ry2z5DE@*OSY1;EUjzmc^jf7+&PD)>-uXvXLFQ{}J6;j`m|DeMB& zLtqbMXhVHDcnZu_b}o`Qtfs%JZO!pyc`54W6xFns-}ygSdk?UvuC8tPAc^=ygb-sy zX$FWIjewP2j0hSPVl<*6MJ%9nrMDSl6qFVrii#8^iUt7@0i{PkR1{F8m!U}Sz0ENH zz0ZIpZ}Pm~_y7O7ycCC-GyCka_FDJ4*S(!U_-tK|`J~{6-RP3}>S{HAP|n+*xi6EF z(;tx)WA)~_!>W){z2w-EW#cJg;CWK_QXo1qkwDz*A^~zm;fsTk7 zlUz;?s~x#Sw)KK$JYX}JN;vL;6cM;@U49l_Z5>Lyeo&kSVMX!zK+N|YK2$UnpefAs03HGTzQ?W;>JE0svB>cSwT861m9=xUpqm%1VSOJuU)NcS4wQ*gV=uc&YhVBa8G=>fOrYGXM@$4y^06rZ23jHn;3L|b$ zNe`U*tIt0AN&t#${`l$6VK`N=R0O3aiC*Jslx5sP2!|8XKr&MwR;7lX!;2d%jrU3- zyd%}ass&7vM0(n9b4jRLZFsW9)FbAuHRv!=o#<~vW3%%O-@yE1T9U6snu{fQu@1Q( z`1h!%L}~{v{&3oM^ps9bOZ)t^N7qZOsi_A^fG<5xUX8J6Fl{!EOh`DX;P46KrwaS8;z}S z1Mnge*HxTz_#$2f_3oIT3#3Octo(#BwJ?Hqq7-*5KiETQjirZ2deH(tiUV+jBvb&Y zkR;xT@Y_g98+bJvBqtTY_GnC27WMqNnaYVmM)<>Aa6q-P$GFA7@Y^^2GU|7Qm>H%r zOXT4uXdKY^bAN1dh$7%U*N!>EXb8BofkQ?cW{uyua|eqRn_t|e=o=?#u864x);SoE zfKf={oadc`gSQ7?q9mkwyfva|ut+m2b_BbXl=F`ZvfJE{gGP8<UJmH)bS41`73KmO z1Bo8*#>F`$^^6|{{!P^%q`jL*=AMC|{k>s&3~o2*l0#Sv({LTOBN&_L;Dy%E>Qo#A z3`>+=yTtDo7&JG_Lsi4Z2YTgKt!l=E4h##=fS>V9MmIW9mC$mq`2%a!ORTK9aICuM znsSL(MyZHYXi8`478g8#9Ug!b$*3QLWSyG5^&o7E>@y(YWx=C|CTT`ncJW^1^D>NC z3G0hg7oG9~P$T;onnI#K$L_H#;GBLr=>Tz*TPUr0kg1Zv3pPPf8tBZL>Kq?7;SP%{ znI2h8i8{jE!CL6gD?$iu(D|v2-)!vtwXa9Sc73OD?92ba)}#|E>z&=n>7Kw$-@JK~ zJoycFV_0C60*-80`9}y37VsFe^J;bWT9!4aniZVmEj*egj-kM`066KjO{R#DTT0!b z|NIVBWo9P8#wq}+`vFKWkvxbmN7X-1)_|B)%sA_pSD{Hlstqq*T+kUYdgc0l^j@}> zCG7>00Znn>hbXDj`ix1O*?Se_P|0Ugec346aIP?;VeefZu%!Xb>Ry-%=_CrRC{t#C^F+6BJ=#^{yD3&Aa6 z4v>V@4-!{(`fkP?B=Kywjj|e}>dSL*Cs4tR>{*~SRFq%=zeaD-X+mMl7TITDIq$OM zk5m;X%M6WgwhHj#>>2f!P`f0qTI#7v39G{4%}HxPD)Ri8SLWP;(L?Evfp1*;TqnO_SF zbBvm6y09y2JW5<5?P4#tQOva=I_+B3NX4B$`p(sTIs4wehWXDHW?ei0D&!A3`Am+c zyN!(;?x1c7>0PALhac=nCCNzeL|?CrPbUniA8y`{Ncsdt#T%^jEAfn%j!WqMV zu;KV?2vi(N(PJmQ{nRpN7XRJ8bEiJ@SablH1`x5_4!c0~YDa6`GM*)>$KnD1Bw)m| zX8&nIbP5dxjiUf)G-_N&-y|cx!aO78vm^Uk#X4^|-;etm0dWwrnSdVEoZgNk?;=~OpB9Q*rEgmsO}RJ&{1l;J-LbLi%i*9qNKAs3L!C4j>u$R+Y%ge{CO z`I-l4kRN$WKJsc5SVUsSjIv687Bh&ed)h8p%1`wvO*hQx1@_Z{Gx6-5*hR{JR@Dr) zZMF6Prbyi05WIZlxOLOlB#r zdrihFj%u2dj}wg^6uXWIQTKkP@g?#*N|3<2ULllvlSds7sZ0V;#eOZ%`3bHIE{8*` zOyT_Sx-3Rk(M7FZt7}DKt%~|QH1UFr?tpvNs5_5J%oMS&&-Q**2_gTr1k5@fsc6H> z40|hIWE=kC5P>~${U)s277!TN3X*J_^S8xor9ApJ!fW@}VoB@55|V3*JHyokTc;au zN=kDEjV8$w3{LY2qvypuqz*4&(G`IuO=DR!-YLpQh_;ZGAAn|?;oPw6PJmH}vjTq? zRWPTK!w@|V<5D!-Sw6|rkCAE2KE?0apSSQNXdwi{S^GuUbq9!0k)LTkcB8NSey)d@ zI7p-9ssJBVjnJ_Pi?)RvfQzX-p&n5MPoTD+IkxI+6>1X^=OGu~Bgt58@>FabiP~q^G)nX43>C0`$egl# zHe7&-fA%~XoBafh+$Nv#yR0jKHUf#Ve!+)LKViFSgd0YCeeK#%NeThd^a#9~R1gAa zhK5urom?IjlK!&OM3|p<{V(+Mpts=c0|0+RIu3sC-&TL1+CgDv@@?K0khMbOw_c@lGN@sGVVM829^-Szcp2;eFk1z|?LxQZi3O;ZOTP#f`wuAcQP+ABo z<-mj?YkTK}1cnV)wh+OVyM6-+_)Hyn0hM0w(+13qL@t%Sn3tg^E=p7?#~*>hLqGWJ z68#o$IIEgVmFrw(Lb6I@u&N|UVpK2|Y^Y{UZY!6^zjyhC-;(vR{KN*`EU%bJGTs4U z9ht}w=99&V>)xRe7JFv^R3=9m{r>5FCBe1pooEQn_A`FUc728lR%@@bGTmfBsEEvTCP+rSR0_qkA@qOV^}mevyL|!E zak|(5O2o}L-25=l*ijCf-aTx_Xk8~g`JqQcwBQ7NrrDk#mxAqCR7C@P%nUNu`0HWM z#~&L^Em!QV={%N(LDUC7FFcuN(xOO`gg^3caY1;JA&(X@tmN%9&iO$FmWn6;)J@{cwwWGGYHJYY6JZ!G#io;b zy!ClXu!qceeTxxpL@#l{q+QVtIanN#As~Fd1Oj7})Zf$GGa|tBB7?FCL6jP!e<9=5 zyS4Ow526HTO*aT4b)^3j#1w7bo{X40fC_@5<|qDQ?>1BOd8kmas0F#7(I>ztp6LLE zStO(<7qMyNy0_^cES5fT(#hr4@o#ycdn>0`ww8Xa`jlDbZ;Au@Ucv{7x5a%ReX{W9@q-xb&Ih}GAggKFVQp?P}&l(uaYa=-saRIjfS(M?sw*3hLGgDH-0{D7>FE?ugW-G&f87@Y9t;UcaF{GaqDCm|D!s~+mgjt3&(sRu$a+;gmQGvPzt~jT@}DiMsMrfn zgLYf8w^T6(b(K||R7B9(dK+WH`IC&= zl5qt!Zbx*GYI)l6mNT-7Wx}mkO2fD0;OS29Eu!C)%QHm7xgA+s^gRD;I$D>Jeu>*2 zt6A{4f1&$caVp!CY*B)zM&;rilNd0QY6ePGQOD7a>vkQxjAD(vR%#YTwCV`Yoy8j` zCf}Y9HpUpIzio`m$b$*q`@lk}*feDnSQ4WBEk{lOZ?e_@hb(OVo=1;&{-sF9C0p*J z=}p&=(YqX|k_SKD4&c?ZbM@KU@4^7Gck(W>0?t<8q^5y9d9T$b?8b#BaSW(e2)zkr z|He!7l7by`ZdXKe1SgSk3Eu3;JNJOsINS^Hd_GVrL}NT{t4q-IBZ1^Ai=i~0#}5&s zFCt6k11UIPf5BAc^q}L`T4=?{vO0-MBzUl161CN=M{RfR_UqZtGEF ze5zMpU*8-sDzdvIf`X)y{&h-y2n+5(9IJhwJMmHW8Pa#rGAC(WMC&;u=@j^DYiP zqnLKQ;KU&++n8h=Ngg~%&A!8lsyGJfZ6S9ci!Hx3h&#;Sn2^dc+8!$?g=^Zci(aKZ zo4U6OStEqb!Lpzl9^-IPZ@=eqx zJ*J*6W=^myii2uKGIj3p7q5g4`LmELcC*KLfeAn&XHp$YzqxR6n*-6~L+RZs3#((3 z{@ojXA)O-X07FNpsEL(U3{O9{@Mf1!gUFn3~F zQVt~NMv4`P>KfL})Fj|_WPga36;egr-xMZy{6lg(40(wJR6JpPh@dJmmVvdP62kr+ zv9T!}>c*V~(_w~AJYqlf&IU4$$wsIsFxCLIZDQhqLk%{|GaiLBBRnYHgyjs@XBg5# zK<-K1fs@mSOf^s~8r|O!6!7?0fQ5$9con=H1O3^&{aO!hdk zus%Bjy9#tHC5M!0!8`(=gjFP!M+(hke-ivN)^B+PW)qb3fM^1tBRrHUFQm2y*@H#4 zG2tY|!CS_K^lZvP#vNZyGIvNgAvRR@oN%afZ4D#UDMyZMcEO-!KPC1gNLY#hT&C+p zPwD9si)@cJu7MC8h6N$j`WeP_p)NHh)9kFdqVN9l+M8zoCWCason=l^e z05sjYmw`=A;x>p8%-W-$ITH^Lv>z}U;Nh`fvR+JAvMYRsj!u367<~Ic!|tBY=#%78 z=mJhODjtH1DBvW}`=y*d|2uU=uu9@C$W_eR!?-ElS_C;9QZL}Xd%VPI`)D{=xkm(6 z;vq~GY1fN+!2lA3pbR0O;?&2vhZ%*rXLBdRzt{t4HKcM42tTCQoc5Yc|KMeIXo>@p zF;b6=c&z-9+~3s475r?WPk^d3sLJa7j#g+z&|W6<6gFk#qX?ouCsXnJF8|)q=WMnI zneY&hG)IXE63Rw|5=zUo?T7tG4cVK-Q5Y3dh3R{sk^@4Tm!_d4OnZzMuy67Q^M$DY zO~OeCv?d8q!b&ek!HavNJ9KzxhGn4FP!wjNlLV|DfMDcg|GdzO9+K&p##IPJ=x^&0 zh4~;V0mL2$|Mu>4husI;zn~f!YNVS;3e%i`jS6G5Q(TqBV35cUa1~yJdH)q6N%T+D z5}il{lU;a5fc3Nv1uC`gk?b5Ug%|Y4Q#~i0GKX%;f3wxANzsc0^tiMPc(aTA{C|!T zynp9AponBy8B-BlbJ|5zxH>}`imRHbz1}TC(E-08#4Uv0W^sGDlQf$UsEm1lhv=c* z+}e~ulPM!-nw>#Npue_JY8R$GLD4P1Z?^^k)#YwT(c^p%=~rjhRq4| z$OZG7J76+ZAp4Blr^yyp24xg#5qLVM$L+iFgBON_Fi&;y@!m`n9qOgnIJ@}HZW%*h`K1(eFJCllK5A;3rF6Lt*HghGu{9Kk&z zFoMVpI%bi9Bp9X8NKl;e%%LkJ9{4j1p;|K_qAT#!c|&U|OM@KmSGnBlL#E}l^EV(Y9XQGusmznFst-mXB!$0f93z4+53Lh(gv7( z=Re~IWYgna(+Ut>f6P>yS9<_|)UT%dnwpKI2J^!32Uy8)diP8jeDx7`AxX8%40a&b z{)3P<`|0t&p(D}O3kjd?Oq9BHaJT9->-F8hA;4A`m`Nf{>&8%`c63(}ERHo%mJ%cz zG4Upv@G$A1rub%=Gk~(R+Rbx1Yh=S4Om+GuPZWsK*HXZ~?j zDp=;97O6-@-Y-!a_j zx$}-?^S&$GbCA+Vt;zxh3WL(Uleh&aog(>c(`|T?7Vskpu;Wx(_`c|!yhTu)^nu~P zfd-4rk()(CmLcEzyy*vl^L9hz~0K1y#PYDddsmf^a5K zfRtvq>^?)o0-lr<9)ETv-M!qt=A>&qJ6BPHGpPWD*B^K8$24V%mQo=7r||mYo#6wn zG4;W-5-<)UVPKu^{wR&ZC+hKkxbt%+M-d_=)8t)>N+p>1*)sT$#Bu!xTl}#N6*VL2 zLjsdNd2#~T+>cN=()hop?daF2|Lq(USz48hQu$kAd?r^!So@=1y`wYdk;pv$CmAfL zOr=G>vLNEUg!l^uBEQR|a0%L8Eg3eyU*VFPUPQ5TgfD5P|dryE%hA2$q4}KCqgR%xvACbsIP=vVo^54KV)#FWl z%~8+FgLmZz4n4#QO8$Xa7(fs{oZHP)2y=Qlqw15Bp*pvY4?wjiM~?Xl((*)~Z`ur^ z;or=1aLVOLrGW8B%3$cL0%Tkg`7(W*=c8>2F_^Ocf&F{qBOr7Txx9AM@e@U5WP9yK z_4>JWJ7hu%x+m*ow@Qb;)WH#iplMo$JK)zkAq0F`aj|U2X=6~B`^SqIQ(6U9Ha1U) z+F5uh-jdxvh*KN1wI8Uf?^_ytZh!1o%_k}k5En-GR~{A~KCiaU0putp#uWS1CBk%Y z+fSUie3V_E^YH~1j5Opai!**yhP|A*_z$S~Iie9E)}E1;}Xc5BuC78E}T8xgej)sZ>QDyTX=n};+VPQ^}3qR<=`FMIiU=omm5TWmapXEMz zqGQ;b0m(bm`QrHbepE*EPAE2z^nT8bTFN6jtURfEb{{Zd0tHLCkQ9VC&JC7Owixro zNrtD$JM)dN|LB8$9~9Vs^yJC4G*WO!8ozKNp{)$Os+Ag?c70v#T*a*MmpB(j)NV7C zZGS(p+%-+uKLW5G*v^c|?)1?*cL6t2V-D00AB=frksC499+7MeT_m zEB@3@&0$Rlp>&9U#Ya@rL}ocmEZI@ArDPrYhOl6#szDRO$~D?VqLOTd3gu7S(}Yj; zdYGhbA}oD{8o>rVeVns;IV{ZICo9vnn9YJB!)HY}%g79aK`p>{WuK;pqPFKWOO+M! z?64cHx_EktR&+G1q_PDc(=#J6v$FsGvs@Roi`Uu@uBVFk2@e6z_W3*9rK& zwe0X83Ul!ZvGy`2-GZ#d%tZz!?lP}qt>Iv)lY@tGDmkLEYB$DOt)kXJ&UbS~zt$9C z`R?juh>Do28vZpAn(-a9P=rVjd}00S)gpkR8ES27lp>>p);_kS&c2>2pZ+;&I#5IY z$FWq)y`#bqkAUolOz^X|Q$pI>xrag-U&-e;D-D*W)y7(QNSm4cskoVsvLikdn*0>- zTf&0}UshUeu&H_2Uu;K?^TmnwnAZ?=BPQ)pCXP=O5rHu>`G#MnZl+_1nDJe-rCk1S&&*@D7ru+%eU0y!Vyu zOQp?<8p?!07}wE=2t*|TSP_cSp`6YocYnI0jhD`x`80!|$pK3+O#C4>*7;%G?)Jmu zMY$!r%-vIa4x7~+DA3&-^~%TAYcMpnoXUO$$#WcS)^dtlC-^+%(xv?w&t;_7T-gpw zukK)kGj2f(CH;v>1KryrtZt|^>B2&hhP9~J7Wz&#{D>Hp83l+fyV%98!-_q0W|;t? z)oogW(t{yB?CmvIQ_{)3aFZfLDggmD(L!oTnTr;>gNTv=xqOT#Y6v%dFlCRcNBE^Q zI_FE5DfZ^>4m{2usW=_jQPwUil;_K54O#tRSZx&BT4pHHKkOq_<7xuA+{5qQ*cND*o*0qvdpe z{rVloFmre6bF6*J^jD&iN_dJcASIH+CQncEJw?og@aw~#eSZnqqbjt_lK$GZvy!|Z z7GzO+4wF}X2(5^BX-`uk@IPsy!N|KrMEWZt2|euzIN_1o=ojm0GKoy*xnI zhcH=a-Z<=Z@?#h3yP9N z9YCPUo@2;L$9lDIwsdYZv`>q143pH9!YU$6GSemGy-(d5&n;^t8b@R+f`=^JlPq*$K{G1KSUz_q`<_GR@W#OeGIYF45U!j1QCK zfmeHo*SGXv@O9U=fe=T2Z%;Z~rwmG9jl}ogKZ72*z3ch+p^5azQ-{96zm2_gW5ULT zgfX)$+(mk^{}cLgVDWs4F;2YegXuxSBb^Fl)1)JcbYTM^%PW}5BOdC|Si?RLIDC=V zBu)(wt9c*(l6SZ1FC_o56VJdv^mw&q#Fbsx?w7yo*%is3KVeSeQ1zd4D%vOew~t%e z=A~qo)u!qNM)-x8xb5)~Dwdg^(#%ck97i0qwGVhsnK$*kF;_J%Qtb@2A5Kz~uB}30 z|Im!qsVOC=7v}$v?s-%1`KK{Gc-PreSSQ&}uU@|F1Lxu0;vu-nKBS}ibLZ;|rt-1^ z0rbq2X$>2G84$9AH@w0z^g0iq8Qu4Ru8Luok(Ndx7_~*mvlqOw#k9Ew8;l(-s>zZ3 z1Z#5lbGmO`$fJtxBLcZJ=|x+cU1rOBwWsD6UmMPQJ;@Wvl)(f57qM<+5 zF`Eccmt1z2g93Fu`d|9Q4#({o3`;p~-_RM-gnfDRwgNS?K)hFtk8zMLFk*E9F(kPL z<^@Nva$Qh^VmPzJ=#@#_)^M+h_IF)j4=0WOBCKl#+N0^z)tuPr(Z0>(yu4@owtgh8 zEk5p!s=B%Wk`?r$|H7fq8>d-2K5GS3DC6@C-nAX^2;<#c06SLXD%K9$ zd}!+WKTPzDm+#b6_gWKlu0Qjx82z3|3AC^(=x-Zv=G0*`H8@s79vQqlks1=aCHned z{t=lx3q)RTd-Ty_csENPf8GN-sEWiZo7B|*&(82_G50zOkDgq1+M@6HN#DbeoBoRG ze9iNWsUof`CUqiXq^Pk!UrGvYF}eKKkjZmDIVGiuXnJdFlTMp9=*0_Y@0Gkw>;I!g zLryZEF)q)&IlP$MjtB1Ol%dF`37P3 zuGm;O0%JG$%w^@&$llz*FsGO=X=PV5PvMu>vE3M8`8W;k72@3FcPb}&Ep3bu*=4Rj zdJh}7&PCqvi0+#n#ls6N+tfS+sQNbL)omnnAeX7=`+l35=kOs~XwwZCxT({G>qfR+ zyL7g;hrC`a_n^c2z;XD{E8s)R5O%TOU64MW6oDQkOl+Si1%DJy1MrH(p%C&fujI;DV?jdovW^{=J~fs zk3-v1qy9WBO^%cEK(w@+!y?j$41$B|l#v{-OZ&|bY3W7-#;^g;=<$x-B@d|ZxUTl0 zgmc!Qu|ek+o*52YF-w%z5yr2XB14Cwd-K(r<1-epCiXjbs$jVod$sTTTE(twI-5x8 z6u+q~5fOpA8sVR|E27&)9gB{{FFp>IhD;%G_n8ew#L2$HDwp;$voFkW*+q|Z+BzkT z-5Gv4c5ci#@I0TW_00Qsu3NoewT4K4sY(0s^$TSho0S$YGOzgiM6_=`#>>+B-Q5+f zmzTvI;B9;6K@g_?3~F$W)tB**&+hfNA{8unb*AS zS@hc5rcp+!owH}6ZXV?as1BY`p{h}h=yZQfZ%b$Cyx2Z;d_U28^Y!szj0tlOLbFKt zq4Zg!4_x36qc+lqGF#|rKvXvRiONZUkB^6jyq38M+}y_IkZ^wo%e1Iw);^YBOnin& zds#AXX40_$mH&L#vqcSxWUTsrBuK*aCCL9zM*nZ_1^r&8kB^HLv9Ast5b*5ph>0gL zGA=FRnZx_)O2~%`LeEaT8Zc+m!;++RJ8;_36Of)z5S0ga8*Dw|qx^7lP1^u{SBk14 z0u*2lfQ`{8BQ?GS1ettP(t?4agSh91n_r;hd9|vl*sz;t@y%IwpJaf5mXMw<4$5vn zsA$6P+?lUy+9ARC14uQ9Z7;}f?aVS?a|P$qBTQp;oY7EMmw@KMg@WeU1`3pJAy~gn zXBHa6T)@Y0=~``KO}D4*nq-@U?2Zy5$&Z%wepclCLy#;=UlEofCWVaHAIIEWHe+Gi zK}Y!_j$cRH(mEN?B`-?(Ildgn4XXe+97(@qUA7yt2Xq&C>npAzfJ+n9gF$|D23&BV zsMW9l3eOq_2!676mRwt51+LQlN~_K+$oaY81OPKHFAV^7`YHQxO#P3`wb2u=i$CKgmh(cOP0!%+^fd-H?V#|@|rrEko{$qN=BS2X+`<6J% zh4>y%T8xs~3%8E3;*>3usy4Z&LS3CcGd|$+O%G3+;+7f4fxt=k;!s1&D@S{o>vqg* z!Va!gjVCiZa^xFwW~1)Lg2QX4kuQYC9l1*Jtlwr$&<5v@ImW+ zL;xO2C`&&` z_QK1fQO5C_4!0fg5esiBjDK5@?1l{+$T6QlKn)Al@jC!-$`~4J3d|=NmR$O;ra(;% z`1VXmca$hg-{4q2Ynhx_FN}pu>9P);2HO3*>{df{O1j6p^`&c3H3Gyc7){BniI^;v zHc*)~(EB1Ht08n%HW|w2cCv$T$(5G#sd!>c_s3UX@$CU0)!&)rIjU7%QB$L4N7kWW z{JI^6!iQ3-`7;(h5F?v5QxELam~}gvAbIHT;{%bIWE(fk>#>0laHd{UO0()ve?O+r zZP(naoy+2+F%%`;Ul@o{N-M7JI<>h*>eE;WqDh;Sek|A2#S{A+P#lBKhe`ITawE3^ z0a~00xsti!D_=|k3|ew)B(M}7j9Fb-Q{z|U*>f`N_c_^f(%eUF*hG_Gx^ap{>NCV8 zQfz9Eqs#qLVk+G;7QSBRPmqA`IcO|M<^3p=BQv2WnLj_zxum-POuUCoj}@zv7tY%T zZe~{;E5}?N3a||s+5sE^sQ;EASpYb%Moxg}7YJoJDGR`Zqjeh#Fsi0Lj$+JS!TPj> z`}e;9%IHQw2m}2weBD5E0eYIOX}7c-KJ4=L=99(Jt{IsfFqSj`F&(dxg4#AuJ0{E}ai5)6UpE zGNCVf(h4zTiUiZ-FHLy#$Te~_=k^TLk+ydeDXyo~&QoETWZgCbXAOUhRc$JJWX+Z2 z@B4qc^Ce7}Ju;xMOOtUa2jubz3DWo?!dk6BjP#?*%E~PzyNd{wSg5qnxHaRUq;<5e zE7q#))*E|b@_;IW;@3Mq1r#WP%Wf6ko!`=OlpL#}TD%4yazIu=AIg)r%R3*R6#Wfo zlT2+@PeCecpQ4p43Qe2PB=2N${M2T2IfR34nO-x{a~T)<%#OPVT~YuTqd900!1m@8 z9n{JUtqVY2NsRO>E7{(SeOPvWlcyoD(sdF?sk+#fH#qj*I{P9%NsgINCqsl339AoB z_iSDoEOKv?)Za!W(@N%wXdpr)&wYvx#QO}4ha4UaLnRER_G1EBuSy*B^maweZ8+?f zv4Exox&hIS1>A_^RH`~$y^zy;=*5|6_;Pms8=zWE(ei4_ZENa(#15KIm?k6|82Sqb zi|&tiF0{@J3G3}#ni~$l6@q}|gn_pw9tD&WgF!oJqSiq6AShPz&^{_Qda`pkwXPKp z)D;sf*#;0<myOM(scvM!Dh1n%7!kP%2akOJ*8;Rm&{Th-RVrYbZ764u2s!W>wR zMM$>Q;VCFc9x4CagDNJ6?BvR`AIoF!!H}yV_T?wa7&kpMq_Ah&AUgn4v(ZT-qSqx9 zdjmF*YGGg9nux0Jq#LolwYj9>X#@qZGmukdAfu|Auve}41SwsOSV2tiZP$h~3vXb5 zL55@9j#0q}s0Igw{q*n}qhT%BQn2h60{y>V*_GLAD>N!8B9N&=a^_>AkHh$(H4FSu zWq)#5C=oaP++OpAP2naSBln=y9deY~xtW8PK<|SbnlD&|x_ayP$c2!FYh79)_;TCL zpA1gM17<(%tZ0+Z9SR#wofx-qb1#d?KF;HH2-qtfVjbKRx1F#}^`o<%aH%{In-Ij!nXxu{sRd%A_YgDXH-G}9ao(I8r zazsPZ2e(5%+2b_mhv1!KVm&>Y2$Ncaf+RE(WMAOX5Q{Km=r*;SosWzm#!7=m1$(BX&~sU zP8qlX$i~nPT~q^td;8-YVVOp&)|LAhi3XU%TE0A=S98jR1cr-Apq9<2mOO6Wf8s#E zT9b@w&hsbBq?g`GHNiw+EAm|L`r>QpgB+!`PKud>bIY3^FS}nGYh|`VdYne>m~@2R z1^qY7A!%u3*`6Q{q=UNRxU^u+1@_kqhzsk+3-8EEU`-e@R!U1lR;&roCrRm$%kTa_ z$IJih#eR&7(l?-%NJ~qK5qLOkv6NIGYs{Zz@e%4WOdJJrEUD4#{9>S467r$b*w`Le zl4)8qRrNbwZ0`>ySeJ@1`Kf`s<0zwC9N@7?M1(M<$a!)6aXwK! zKqb@JuM;oWSUW#pe*~A|v)P}M2_i#IC+b(^wy^woJ}c19*#|`O|9a=xi|d_jz|G?NpvyyA;r1}cM`ab$u*TXg94n<6r@DMze z-#yq<`U`vFY{4{T{zXWLGM!`(Ab3FYJB(B5!>AdFAOyZR7HUZ*r`s0EynM~6ekJ?I ziKpnta3H{v-(8&fm5*8w8EG?Q0>fPz&+$!5Y%VX^0pOgz2n0f3Zf$R#L}+`oS~;)0 za{2rgjk?fZD505Bajo*6u&FIIHrLM2HOUh1AC@!NfVeSF@l0Fxb%H36t2k-2$m_ez z&&!)kI0O1m^6tpFMaE|>LUehqV*kQOe(xEyOG}@<*<)Rgp6774NF&wT zQ+h{dcRjx2uh~vWam6IEH9f38QgNu?GHb*V8zN4oy2%O{i`Cz3W$T!9b*_kgn*9pW zHbRDDN}eG6pncJLVdtSz%A!}JotjlFOSp(J&eGYAg1gf6jLbz@Q&kZUTF^(*3)sSDF*LbT4!7+SZ-B89fe>4&^&qvpb{g%+%$sSNw?se`Az-1 zPu$8crN3$ivFJ*&A0X#Z&HC@afASVj!l=|KBif-#?ju&(+Jq1>Uteu?{drT{_YlQo zc0uMx*<^f_F7BX&Ucr*liFHcw&i_k`uC2C#fNm;|C;=IpWN>>^jC1V!{^#>#zv8u) zU~igiZ>|FIAmQE;FPGr@0hb7%%R{Kh!*y*W9)V2#dpj-VQt1pJyu;E~J2hz)ZC9D< z1m!c;h8H2i#OzcUQVH|A+x`Zrf-cbP2y8svL1Tbok>Mp$v{*(n8(F?VN=e{)&oy=D zSrWc`NxDn@&v}sqLo@vYb7NjAt#WZAtv%l9^Ul)tcF;ZAuo(v|r&OQkY%ak&?m^HG;qtmiBwsUCgnalW1^D}K) z)iXGyp#Po3Xc_6ojzLW^=V*=Uez&?0AtsAZo>{>coqXqb*u9`9yd(Cvv6@zmau7?% zRm;QVA%)aGnZ=!)UcyY7?+sSbzefr~y_j$Rv>~zWWWbQvcGBq&DiTJL`A{mH(Xf)` zqgp*Wks4Ogv<&e?Z|8=3rSS$~hN!+K2YIJ-9D_xth?188FZe0L#e)3~{59Q+ok<#b zr~upnPZV)3I=XPgS{2ipxPH|W4NCh>Or%J{QQ?i-aPio(rr5FSLn4|^Rjc4@1jwtNA6?I|+JsbY>~4tQW(^`BgMC|c{6I$~~Aik&)Y zdf&-ej$Ep(=L$3Tn3&Q7em)p}pZJl;Tm9#J&fSr`3nP3snAgi^UzJU8`q&{{>)bcd zD#kCX>CBqu`IsWE)qyUvIio)4qGeLOHZUIwxx67%cyUW(f&JIj{f*8|8Do2D0syWe z?RL1AY$em6B1(U9>5z%`A9w`#!(lj%h0qdc^WZr=GI6xVe^kYI3duG}_&wehANvs5 z_B5x~6X9&}f3dMluWkQ|%`%&KPU@}#a(HO*!Z3& zGjb}#)7*1yT;_-l;$Gei2v8&NsyILF-zW9tWA_3-vTQSi0P%gjHW(O|YkZ6&%#e=L z=|eN#Yxadff}NZG19mPBN);Rj$d}|rYjWCow%y{Yio1%mG%^;6_RbxN67eKCiVaQ- z&gIxY|gC=2+>>++CRTPqi(?`g6n6HVcnwtGG_EK zLwK-^OJ1tP8T|QL)mX6P0)8rg_dvgod}ie^>uqoP&%VT=TGs24rF({tK0nqE43k*G zn?ObZwWEPxUBGSAEys2(V7&B-sG_1cmA~s>nFLA!ym6})iaU4e6>VAfyrZ>f^<%&(^CX*%0!#I0M`2aOS_616^{R2a9 z@#rH%Uq5yg+=eq&`Mxaw(MI`3Cn8ZmjnH)Qk)houbmkBbBs+mH#>j}{%2s%nxgW7V z-lQ*`c``Ze;`Z&EWu26rea9?n!X|jRmd{9`qG{VSnrM>JaK{Ucc5B8S6nMvHIlFOLW6d(J zxERN2$AR2|nuI&Fsry6k&(koR9QG6$LN7wMJCHoxf>>bFst=8F+7-iF^TIp4Uy%~e zF;yHL2K<9DRm4>;yk;*%JATE=d@2fGgomq$X?EZ7tly+DR)6}T>)_GO^$H#;VN3H) z6Fgrq)FyhC`ZUw1Sd*;D$X2*_O4!`VI@K*8T&$VwKl4=Q$l{dt;Ql@Ap1rvfEn$}- z&aKr;LLO$g`+L%nfbqzOOA3!E`p_oM-uc5#Ip=daUhsqqr9)vtWM3%uwX8`gHi(acAG}ZI!)$bK z^|Tk8Y0C@uCc39%p4OF@>6j<&7pBoCZCbh?WjFuy)f}>(PF9(u&~2bN4!uLVjZRIw zNqFZI@0@T0dy;(Sx7yws7&If-_k1tA?Su?9RmYli2V+T!+r;o&Yp!O+PiZ;3tv0HR z^{=*1Akr?n`IF|FUzzxH_Q!jTFKaT3mMAG>`GGi~Z52DW_&SjT%ziq7!?hcQr|N|X zrzTP?<7!+N8I|q?A1T%DGBN62wMninA(zNFY(IUy*-(uvpIlD+b1#p{+OgKGu~$l( zmE&zX(Hr!1J=D!Qy4of8pew{@^GwXJPBz zPfdSCG*_{|_xOV74O4$0KS&Kd%YDPSV}>ZZHr~=hy3yD6vsVq9z-!m05n6F1VS;31 zxf#Hf4kw0J%#LIrXaE2g>!=oGi*iEip=a`S#4o z-Z>23O)hco;SUT|fEYwPMF7nj#V6X!0vj1FR&Vr9N8o8&osDGl~ zrYs3lWM!M@?A0*AX((46f?K-Wv)g^A%49-M2Tsl1v`i+h`}gf^f0vG5ip3^2GxZDx z#yyZ^Bg_w(twBcIO9jmkTZN`CNq_-rRzMz3;RJSIhc7Lp*15o4e82mOnw?G^ad_!I z$L-BYHR(pDYXRIT%V=V+4LX(8y)wCYh+@B>C4n+_D%M-ivV_e-m z*Lrc1H2t|KuWxL>lW27D@Nr=((nLkV-a5MFbUkCN+utSCclg?VmY=VL{5;)ikTER; zQ|IWE;1D4^)uhDt$F4rX&xhAs*=uOnxos74A;xU7RkKS?I6te6zYX@RoSnweXSvFI zC9%2Z7`w(EjkV7mQC1LzzQQ>oNdYz~WImNVCx)0SXX)%1RDD_6s(G?Ldvo?LcebP3d-)l|Kvn?Id?In+PM?l#n1A&=CupfuRbC< ze5h@?Np#yOJzbP7kfciUiOEdGtwDf40p%fM(S3ET5YF#-{ZtPP4c` z&|m2uVT1C3?MvqawSV4xpK#no7l+lkC^)N#2k@qv+J`$@T&tYsv7QrD{ob~hLq{U~ zus1HBdaT>TKHS==0^%YeAjxEMxB(R%9zTTp6bFZ0{~D4lSO(J4P_F=HKX@w#Jm<+h z^O0tGoZhaGKHIUo{px5RyS{L8^#YMICT#6%letBXNpia^fjh_}!I8CCQ;O>yU+de} zxbaDZ&#wM~igvJ=P1-Y;t5+`ig3#b;*0^*PV{w*i$@M)k!!dWS4}q&vo^xCL*HE|( z-kl0(1xF+Tn~u}VS$N3@WJ^#a2xV~{1o5)3x0n9dM`#iYjSbH;hS>yMQ&0S8oO__ZcZF9rAb3%hh;oXicG#Rs!ogX;rY1jf9 zR6wFli=O7~oQZ&Cx6LaA$%MBJeQldBU^2e@nhS%(Dn35d{=4k4N4V`;NKw|Er9M^+ z5h;J$JjO!js6m`bZS^ECZsn=E&jIK2GKa3gkw!09=1>gzJU~!LhoT?Yl1T|o^PAouYy|me&KyTip zGedM&w1&@IPEk?QZ zrm&JDyt)pv3)x(0FS9K+%h$#0BN4(}xo8I`b42`&Q{eOUz0PIa6_QzE{aI`iPEiwM zEhi;)e~9HaRClbmmv%c*I}xRsCDt3O!)9@%xJ6?nq5*dW2rg)WP3lR4sxnB#f|uQz_Wi69OGa-?(e4 z?ON>cDV3jdX6`~#9%22IBQ=>e711#`q1u01ioL`ORDX}+BYxMsOx%Tzr|EWIRh-Hj zJRJupQKs2MIF)HMWy|#_UeGnt>wP!eC(8BZN-gs?lxU4XsE!eNg!pne8CM%@k$jLw zB33j#Bn2{!homO=vMVDv`-l|;*V-cZWJpxuYP~F_WVd(}Za^@VU)VLl*Rt+azc&;V z`yUl~%E616T0(T$g;K@O{&wis3?+?!+R*lzIB7U}vjnw28Q3hU1&?$5KuLkH{z(4F&{2&?9-uAnj?6l1_zh z(`nB1KY|6TPwb9&1x*zZ2S^P(=qBJHJ!`SN2{%dT1tBz06FX@4aLJrv<$GZ{uOLtm z6MMudvsc0U75rS&b+o;dhXdKaRI4?cE)B^z8J?2Sgyii-DCCKsE{R{m}|$cXpehv2g$%3W-X~my;;tlHK|R z@{6GNsJ4A^YD3$4{-}cSxpsC{g|A9{EsGAwEd)D{(DaZHg}(KP<<&>lg`t9pD4WQj zj7hWYC()k*L`E9NOf_fzxiGaD((V2m7xHEIK_bZyRf~%A{Fb!JXa99f6}~+a^ej4# z0y<6V1Mr}@2%en13F1L{AUaL2zG=!9h#DJ1HhhU{9lYS2?!n81g4mEYm4XfI-VZn$ zIVKOo5m_Lr)GB{31ew@z53h3PNMyDTF#;^*F*|<7rR%Gvv*;X$V|cO(7sp5le_`W71H5^lmsFa4n-~PPkryD zN>$`zj6g9$KM=xzTu9no@u~d@dkIzR%J!qhH^o=9$`=RVf1qI5qnMzgqQd2^G9jno zG~lNxH|a)++Mr+2W{`>kpoIB3f`RKlx>&emmJoLw{I=5Lv~!LU=Y|E!6qXBoRCFJK z@NOUv>~`DnK0P5r3Ic2LK?}gF`2u=mU>+Q@v570tr$$fz)>L8ndVKB!nH?p2T&8aK zZhSe4v_EJVHV9h>>nqKuXl{A6s|Ir^Kvklegw` z@Av$LBVINYTY4PSppyOpsmzq?^IU(OZP$epy4FeG5E1bQ8$g|9C>LVb3;8$i-3@(s z1{=?*({jND%~fuU4WZWB+EM#sHHKK_Wo4-ol@%2hF#)n$7ZXJ#ukB}Xu*h*R4pR!N zw=Z4W7Bu_$_}s2HR$`;7SvYoX@uLHA=-kDiqHaqVKxg z=Xv~y-^V(wmBwUEUahED4$_1L*b<7Mg&=_9PYU+tED8wS*u{d1qt4RcV+ieZz~RA4 zTu*L-`rY#W1eSB4m$Pw}BKQd_cx>lOz(I z>+mr{|0bNS6y96AC>h0JQa_!^i3$#Vil_4TAzwb)%;7XH9k4JoG_>SQebP3n%s3Tx zbs=NYb5yzKL0Iy7eW==s=E_d9$UT+ed)CSsQ$xqYE@3gzYed}a-QmGVV`+b zyw$yUTUBB0gD@@4by@r&1+47Iv|KR1TyX4J$bM`k_vv@37)KO<{>IH3j2lFGkSM`0Fd z4!9Z6Ew9(Q>TfO|p<`LMuKVa%pz+-(34x4r=?Mw;^^%jS-lmIW6))%-KqPVaW^4ps z>Y%e?tGwUY7XDMGKeI{-OFO1|%FDtyttYzDX1F7504*)5YT4*{w#n@CNoP!;?yNvn z?rhBt$?fui|1jeP&A5_7#xOHFur6KWp9gGsyK&j9$Q?Kl0z4ONTg@jPnRjBkC)~S7 zumeJEO80=d12G5P025Y~nCf;NRi?(vw!SV~Lv+L12E148C^=;vT8OnusCKY7%d1cF zdKrrVcrf92aIH{h|k=+UVA4BtF6>>$bUuO5N+ z^WY}PYj^;Jm?+V2?d%=W8Bkzp1<<6`&f&t)obJVM{A*gA1YGBb79Pm-coZ%C@IlV_ zq+Owjs2(_Lj^XR%B~eI8HX5Ee*2O00<3n5rNUUy?s4Da>ahjFUN7sjIV-a?8UXDtP zjJ9QnpD9v!f$3hd&L0~DbkY)VWNFzNtmUM;0vSR!AKD}3&steK#{_e%ew-YI!(pA3 zf(f6>0hp(TEi*(S^$(D?53l!(O^6i^!u)C4U#>}uNcl#-gr{i;Tj+twzV4s4$Oh`^fJ^LfaLo2oh zU5|Y)$#kKc_#F_8^;un!{qqk^?*(D4Q?H;^!5SG$%d63O|caQb9 zdo(**`j*$=sk*jx7hc~jGC^pMe;lhO`SQNhqM}(3?@6s>7IJ^cs zGvQPx?6pcdnej*W8w^NNqO)ikYfu z%D(SmlhOjM3T`dRPElN0ESv0TT(B5GqU;b5CBYCPOA;Xj=6*u^&G*f9%{4Rs=Ev}- z1(UpQ-sgGFxzByhxz9d@zivy@8lwH{VSIbCRu@%nGN@DZ-CNK8hq(@1*<7FZc2z=G zF`tF4glSu?JSXHJ+?xO(h)yty?NQVC0OgQJA~B!&j2@iY%om5WRvv}0#V*$N{^^rn zRL4dc^`jn56Drn&kuy)GBeN%!EiFuZ+~CS=yh>_ndQ*){Gexj5zPzZto@|>xLIo3X z65*o9V`4R&V_YOQ`XXLJ4vFB0&>L!;h^x(N^v#l8k(eocI{W00t(Zga6%_{DW`su{QwlB|X4l3!BOF=|~8a%W;j@Tbk%H^Gg*X%>A|6S4WuTC%_ z9YY3?Ur<5Qo0|-f&Kai%= zW{=mX`gDIk)WpBI2Se*%ky4bM!*hAZRs9svmxMj1>b|Qj)7C^kd-t1Elv2W)5TNo# zx&u3WgfRUm-0g|J>CF}=H~DJ?V}@X;ZYskyV9q$!Ri(_tTb$!=QkK~;*wdvTc)24h zbgmt6ao71PdM|fX&?KumdDXhN zkplvN8O`m9$9&P~4i|>Np@OO@ZeEklnx7Mi_jebrX@sMyPS92RWzCb!srwGn==y9I z2CAWzuwF6NTXdWQI+iH0}7 zZ0LEylGedXw+`Gw7ewL*eND~jxhPhr7H!0-Xhc>0M)ZwvEhn^|K5SEUj%3&Me?2ME zeo7D22?yRrA4K;IM%5-IiE|$%&KGFdni$7s)@zTZu{mHm6>GffX~pDL{h!1C^29lA z73PZRJpmVeg<~10OShYm@AE%x%Bf^$og)1j7`Zhae>}ywKlxJ`L-DF%$*oN)HLmC- z8@(Hwt#Z+|x1O=LI$Lo-LOND_9@92)+x|>vrWPZ`Rt!3JElL#%R&5)y7(UDD27Pz z*}#iXPm@8ds^F2fx=F22FDUHB&9^_sPT_bD_-Yx9ny(zZf--E-GEl7-u>zNjV=C{l83fVXrY(+ zjbJA3y%J|N0)k^&YJ11D)o)on(H_I$fBQE2i#5MzyY|$Z1f|Ez4;C(q(6zWr-wGWO zqGAJo$Cbd?`PSA!8O+wpL$o-M3C6^07ZU@9eBBduVVgtf(HZ)?lb zHJ`{D7|S6_s&ehBUq}UsmOV|&t1{ia<)5}n@{2srgF>=Zmd(6-8-4WMGUl8UB)vQ% zd>SouDRb!v08koE92N<%Q0xaX#uCw=KJ+x!C_N+phWU|9o_+@=z_G@Sabj=PIrktY zB(EjG7FgNS`o9Lfq<22Z*OnX zKTLprIzye~hd?Z4Hc~sO#Xm!yKIb!+>BGK6wEhKk3$fS2wo|=j)ul~*&f5uu$MVd% zz6f6bW}n7>ut=NH!6p6r01J8v*5`HMjq?s~79CH=f>1sD(H;POB|*+_V$dbrl;-Aa zO=}173ASyuK{0M-4T&Fdb70-PVBa61_rN;`xafiKzG>!c1w2t<#p~ISx%+l| z3l2E$@GB|6tGPWkvOd?!S8$3@7IVO{jJ50@0?RDwSwO*V-=5GIH$St6GNv>%<4B;? ztr$$7aWxo@{EwX(Z+0N1Y6l1T#9tJ!_NCSq>GYTnLpdIl(WsD!8V`lLpu13I22V zcU}J#J=Ba6yS)3Xm9%t#;{Qt5Z-N&RUzK_8a;UKUrzGmNY%~;z``>!^tN6I>yzU&m zSbeNGy2yg&=ut_xH}e6&>7{JN^vfS3PH4&Qvh|rgu;G*~CAu zqp5d|^X_fyMWAB6(-PK%(h~bR2>M+_@734T4I-0Y<0tAG-}aQy5Y~ z#~m6ld+eeYdOOvp`L$*Q6qPQj?e;Zqe;EH)czwNIM@b3I900UfH$*M`>oLG<3uRhh zx{{Lqr7-KyqDBhkuQDviJ^fW8kFGINL?!+CPvj}3^%oc;uy^P3M{>TFN$7<#5E?5K z7UU{i6pz6OY~`$@xUAHplWC*CO~_-Y$l%6EqYZM}tyiU=tB8x8R6s%)^7*GROYAXJ z+o9KD*$74x=K=cw73JiW@6fX;yIqdBPJAhrj_HxZhfhPI>rzHWFOg9cp5tPkrDr4+ z2tlob$ZyVc-O38pN)TuG$%AB zIu|JxujV-4IoKf+P(t z$V;d=V6&0_$L8k0+Q>l=<2PU#(~GN-j@ZeGHv2qn@|gkF;@;nx2>||=E?@o$eP5Td zvPe{iT~si1Q*EKo51F6#N^MN>_{_bagG;)wd+jqMv1gZ?lgGj z_7FH_!6bhbyZ3JR z_)$0=T>j7WLw}5zci<#Oh;)gHJp`MNmhsa9$I(;3(2%;O#|{ry%KRDmj&WoY0pb znCw8P(P%T<6`#ouv7=Nz#=dGT#XSIylD7p0{{G@dPLJFvnUngum@|U!ZMjnySVt7a z0?B}*O-MwR=TAxaGd{A)*&ZZL!4{CMHCe-R`127H($J2&tlGgE=P@lTAqX0B_yN_#zCVq6+o##^87Z4+p$9yH}=t9ZT%hSsD10* z^78hZ9#Y@@Z`N%|NmS91&8c3u&bYT5dS_4CrPZ@s&FWCvH%FLw_=NV5XEEk5TScOs zNDI+!*N>Z0RCfn;4ucEC)^8CF2UZ%w6kx~JJ^it^M9!lq()gN3_xRz*pbD>*$yYCQ zC6lFrK}2FOk+w^M@suC{yGtG+vq|tI5`>7Hyu@MMhke=QXnelIrGm)l4to=KV#|o8 z^-E~FA$_>Mq7sxUi9f+pjT&zNu!bK&|LR0t2xJXl|09K~{e(|#nZYd9I36*y8OswI zF@;;>a!Vy^LP-hiliDUU{{zTrgu~jZd6- zr1v+<6pEow<_03fPfCiGy`HK3E6hFZ$a_=6{_c@K`u5$9goG=bOI-?E1%H4KA(D7R zUV0=k0Dm&=BCLx`H`;q(7 zpdFUyvU|z!;hjI^s>o0VEV#yM@Qqi5~dt1yfdFM>i}ET{f>Ntab}TI=CYtk0LLn;wE|1`{Y}X=BJS z?MqoYmCp4XD}wbdEvr*L618>Rn7RLWaWwUGc91!v+>*4MJSIkztUOXIah8YE!M5TY zuMbF}P!i6NMY^MNy?e`c&&5XptD{Gv)s+G;E+C0xt2i~ZIkgGVc{Ha5M-Sl#iKwuZ z0Zt0Cy6J^RDx_3wwMLi>qee6U<s1UvNRqCHcEcsPk@urIVVe++5N;lGCP&3{!*^b&@&?u# zuUh5Gu6*uGiN!2Vt<)xj-!)#PiJ2A!%BLO@hk{U+s<9Y>Mr2NyusKa(wXyjdnIBwd zGkDtF0A#IO;IHtlTC8fmV(LNx`Cqc=tS|>1ipmK%#{@()y@iyGHq3+A6!0~F_DDxZ z=8M`y_4AUX<(_3Q+`Alx=VYUeVqsd{gEKj|0yE zU!(ZidYGUdC08wx1X3wl^-=;*K)V!~%ZI~gqfs=Gm&g2Z6gc8T10*wo9d|W?SGo1o+4d=1wLm zGRe0HzXVWC?iELW!QqpX1`q@EXUb?H8o^(c4D0;?0|c)wj7k=uNCAixxGc=+Gn`c{ zILQo13mHy}Kc$?`cub^nMlUi>9D@|e&ktW_<$CL!9u+Japa*ZO5e8uHPW967d-Ndr zL6ab(Q<@N>Vad4m7BJXbU)*?1pnXlQGlKqGY7YZRhk^t6=r2J!g4o!u7(Z-tK~XV9 z{f>Ax4aXWtZ$FhjW7IR4{~>C6%oz=p$WT0x$i)>Qdymr%^9^80sA@=VsBw(L(V^Kf z&lfsy=>UA32sR2NWDXS^z+?8YUk=F|F-@jjUO2V1uLq$7f3v5w= zt6<^mD&GCAzFg<}*u(2fBNsieKED%s8E~@jd)2;E*s^l{Jxx^!f}rxeh}{~)jo2Lx z1ElmMsD-KwcWzUqLNg)D3J~jUVJrDk4zU-Uf&1 zr7)5ovzWu+soanD!+^Vn$pF#)Vk#tHI~?=YVMpgKZCM{G8sI;q%MrNf+z$U!;BREZ zbZVla4ux9ab&#G zJb~bi$jXFvmIiTzF~aBG2?yz&%!q?mJi3LgKDGMZGBeE$HGLzC)I(%H#sXfxJYwx+ zgQ9@6rMb$s^BUhNRFmdUo7~Kv{)jvd;yI@d-P_qEYJa*Jt0PDiese>2AGN7R0CQVz z`Kp^cbDS+%*V;fGPzn3Bwr!*zfV1udauBh)nK6uUK53eb=@(s1_ZzVW>A|6BhC-2O;+RvE8Ow*!m!MO z=oJBm*vP7%n!O1l6T3J&R0GWamI>30fIV?8vO>Z5=sl#XXBs`;Bc(+ZBk!lN8T9Yj zwa|p%DuNK@Zidf$!e#EN5^yZ0LXi7CwFApsouxr0C&Xb<`e5}uX@m~ zi~P`ML&A~WLGKE2gxkM;A_guZdC{+~S}gNPukEkCqqC3q$yrv{WEJz{hA`jx9PU97 zyl@q=u?d;E$Xmp+ugj*aK2VL^gzjB$brU5eU@of0eit`RCF?8;wMihILRPr4`N;E| zPrd7}WC`EI)u%$Ws6D18YC6!deja9)q>YP<-!{~5+O(-GS{~9@R?TEU8mXMf4|NC3 z`D1+|RkgikT8owq-MR6$5k02|60c@@)`z1xX^J1GHXWbLmemfF3N@%6VK`qSo)7q$ z@9(@&Z3LO9!CV=8b6tyPdxq_Nn|WFJ9yN0_+-llAeT(}9U?HJ~lm&I0;nz%E;xt!J zR2zBIm^Ct&%sj;@4uu{?9}EsJk{}@xCiwhMM}*QYupAx2y}mFXtdKmH z+Y?{pxkceW2Z z&53?)3xFsD(4XqG>;zGQ;-tEb#6$z3EkN;4NYLYjnj<(|4Wo)aK!!Rla`mlWz)k?R zm`+eh-5{v@&4lSdpkOph1D66+@WNAYj=u^|Q=6f0$%nF#;Y?b`IBZhhjckw?bse9? z10x~Zi(FA#WAmg!!`2SW00zGF)3k0Qbwl{)_E;7|BT^j%(1r>S-Se6rC{EF!MZ>I} zN$TA1XhQyB9jTd{UO~uYaic&Q`i)i>Cb`2NQoTkVx8!-U4vD0p6;DzH5CQVLKms&T z&JBY2mw9j{m~i7{75oifgA@#0?Awc+H2_{;s>VVg%wP={J zZ@us&#c<%KLSLBtoE>!S@a7IX6VQ66^M?f^^ujIbm>yXPrwf><5gwTs!oVSYRyDTx zq@A?vjcWT^X5eI6trvouTaSZE?0N8aL;&x$+X<`zARTT;+pj|gHaaa&VmBGV&!9_k zZ2O9k7X=0YO;-LZ<8`2qBspz8#q?%HKn39@rPX}|!#fF_Dg$4~Ilspc8E}oCZkS4+ zY^y~;RN(pmb1ak*VWL_?U)$W=4Ejy3;4{Q8xqA)$Beh}Y zJ)rCk|7A}%M6Y7rF}5iOmKBUVV9?m=s|7|MItA^#3lEL$n`bwjmKU`D){DA5YA6d> zf&2pR#tbAZrGyi5ohVy08f;fWBny06mE)$RtI;+xWeF8^?KD6}!lhwB>-d=IC`EU4 zK7C1R`nTsQ+ZVe$&m=0`+DnNCM^#XWUDMmInN#O#Uk(=QS=neCtOfGff?GpQ0D$HZ z;4aql0Dn?Cgn=lFVOQ3PRQU%GHsU0|-y&o9q0}H~F9p^naS{mQ!}97fL~{dU>I;v_26TBJ(L$`nNS|!Ef{_Dl5@{p0frhH;`UNX)q2oc`XHmgr~okL ze4YC>qzkVn)(wRtcEv>_%*`VSbseYf`KeT*O~nur&o+7=N#&RBW=+3r;t zEf5`hbG*N%+_xfV$0rv8)D#+aJ%b*rf;&!z-qg0df6H!3_ezU{HN_2GY&s56JxZ%G z>=&u+Bx!Nf3&BA=kl1yB$8nfHaATi(RaDSS6)eT}z0RM1q^P?so2yQ-JcCB)*0^D2 z4FNB1eRpV z2Rt9?cTfBSV!Pz0K^7Ye^_dUGmK22eG| zRw6Gv`Rf9cjm7oic`t6IP~L2l6c%RM^_zi|2f-vNutn^^z= literal 109270 zcmeFZc~p~E+b$lpigkdZ6p*n6Dh>#!$V^f#gD680UIauysUR|hNkV`S`cedCDxjcD zsiGhPA|mrFvj`C)AOr|=WC#Jm9Fm;-fxhoI{Jyn*>zuXDe}~oDRFWtA+56u2ecjh} z?dSflCI$!hiS0w7PzMb!>Rv&i_&y>3?%e}_ldRr=hyQ5$>RI`kW1W0)H@t75jBogQ zx?z3YTyFm0cgx$y1?zEE@wBp{s=^PqeSJNBG?kRx|NRa{thcjLPHtE|T;*HOi`G6U zl)w$--yJV8SuUs@D3qb@c??`7L< z6=cmLt#4$>$?YmERynx$=vltUk#UOg-^}hgAUgNgFBMieN4}UFR*%C9x*S?;b8STS zJT%<57P2b%q&DtkuupT8+z z+%tv`(LH^lLxa{#?t${5BUZani!p>1?yc_!|bb!r%fl63?N-{@4h z{xQ&dtSS1XWlmh%L}tH~ZqQ0uPVbCawuL^LxU@``EwfdeUf%fZm@=_`Ly)XjsA-zz zB9>=)vbdyVtTV#^E(hc2eSJOh!qe|uU0ux-gtNMYQMEFzMK)eMF6XOXMO>zfZo?1u zN<#a*=pAV-be8k$Jg;_51FP}WZ#Fuv41H$!jd3~bPLC28I-y{awQhConmD^cHReu{ z7{gCXGp!@LXopeK){MOm+n?njEOmqY>YrOFG=2DRNmqAv zc2>7yFnucU{rcOYqVK!!+@1G<&leRHm3oae4ezmQaNa$sVvO8$K~TzLJRh6A? z>W7-;~n3Q`S-w$n;q4q|^olvOuJ-VsbY=ATY2ZNzPEoFy5}p z4&zOAD(t%)KmM8Kg9^cmPHf~*rj{1hH>+Kn4804ji|-yP><|<_C;xllL$!k>`#I^SULwY%8MrVhd3N_SC@+`$&NO0eA@v5TD&((5bX5RQ*Db&U&d?>qZ zNuT1OrH% z7(cYKveLpnfctzzEo*>Eong$*E+w~54iEUvvyWr{D4e*7s!d()RdrQODJU#F92gkb z$<9sa)#br9;cM3V*wfSFaHr5Li+w7o&Fq*EB!gp*F3AV=kj2u|848b`D)TH|=aYNx z6j|BZWBf>$UYxNa^_6=VT_d_P%!;qs+s7h{YRXb|Lt;$>iM2tRDv2Dc!wIaii@jMO z>XMxPfwmhJVtq$Ntn;?Yvp%<&%AU2lshEmEkKDYxQx?}KXJ#aBbb24^D1muDCl*~7 zFb4BD&bdeGRo9r9p1xyS6>tvX>zTy~J;)8>Y90+ME5%H?)EhlN^Eu3IxC$=sr^(-4 zp6>qg<%{~ey(zb>kx$4p*;8Lq8BK5j-JnF2k?X-M6=TP{ch5m`D`D;=nDLBE&kl|B z`hH%H3}3x3>Yf)U+6|j;poWOiOfz}zA~xuu=7+;MIy=k1Rfv=`9Gz@W30*#7N=3rU zTQPY8UtS|M2obC6s_SH}`t@UBVd2>>V-r+}9;JpWR`d(&JR}}=kD!NYO89GYbX#%e ztsaf{&nDzN6BjeN>$l`0IvIX^7@TIBV~yjrYu6SyOd`gP$XSMb#D1^>e-mml z-ScyJ;Y3&EE>wui%FlTgCmNo{(`nTPG8Fs3iA+_%Z|bK0jw zi7Md@$r~P8og0Lx8yp-YVC*aW7!6*vEXWUKL?vf@u+>AKP6aY0T3>cw*n3^I-(}ER zxIx&-Y(A&ox|VeVZbW8W&eL)+6ZX4x z;z4h!O`dAc`qN*J&7S-V5Q?L-PU@2F9tBnN(p}29SSg(cux_bq>W~_gcMq7Us;SA| zT$=jCKfNl)Slx-q*3S^EsHiYM*+eRKX}XqY$!ETXb#seKjre|F7(pjQ-0q$7eMXsTfK|UBwCT|A1he>jYZf^vKgw4f@8VVX zc>2N26*~AgOd3i^OsrSBwpkbNHfpver);cG$c_7Z1|R=xm-1DY)jdwv7mQP0?5FY$H!$AlV zWpDXEd@r}57Ox<`1C^@BaeaEN#G|o0=c;^%4|b@sj7g_|Pj%`OR+fa6t?3_oI;kz~ zYjvm0cuQ@N)h@}9GRSREI0(-i-%%O2i)ffdI6p_hP^g3%>+wGsFpcJ*nN2}A1|QVe*5{zVc0U-!Z1;iZ_4yYeYbm6vXmuhX$WPpR}#wPIZjXr{8@XU0qKq z+Lj_ffyEzoeA;vn{Xy&t-~MCrPu{!u(?YAv4GN(4LZ<&H6q6;%m@bXO4r1oE)$mh7h;!=j6ejZ2lTj}2eD@(aHw;ZCWw z6^BfzE8)!(Z?QG`g!b(=FRjV%Xe~Lzn&A85JX&vp1GAwF_=WN2<|CDD|k0=sE!s4DPq3FdN^Ak#B$wkcZNTx-rcKGOw) z7*I!RvQ3GmXshdLWCt#8;y@0$g%gJN;Pz~&T2oT8dd(>Jk zz36J7Oen?sRp^u+c>{CK@MG)FEZ?#&7RqmXcA275TwHwf?%lidWwzGV_pfBDbhgv# zKQ3;*iJ(8jr)EVqj-I6~7TM&L26HyznC^+Uyk>gx>cj$3wVmS=k$JX?23eH*3mAZ^1sLF(}6eSgz>T{}(BC0Re)LM+Oz6cR!;`4+&XE7?L< z^X+sN*qUvu`e*5plXughl8|l1f3x=c`tkwf-QIlrSU}ThCe3$uprU@ZtKQ_Fbjd0+ z`lLYByq&1=Ub{c#9DcE{;3M7~uB{E9Mq_@qO~#>6S*Kv~t1RWG27}&&k3Y-(KG5!# zwJ>1I+3bh>!oS|jTGesU&hWrN`S4$xAF=4yanJgmS!Xv6$UXqV^HMYSV8{)?;61&) z8McZ7`WYgTjd58_QVG;pxGS0udBPho_ZZa7I61@Ltc9^v%RLU)-&D&P0tArSz_(9$ z??3lX|0j@iAoR>~y3^U#ZFCltvy3a*4N$ZJ95ljIpEajOZzUPDNIOe=5Yq3JY;7N( z>h3#w6@xK>t8;n)hV%0Bz6=aRMMp;$XnO6a#UE9&59Z5%YT}cb0jv8-!RHVBJGIM; zYi9-lV;cXPfV5+e$VlXy*VJb}Ny0)z%Nb7g zi~GhuGbyr(rj}q$we<#b(=01#Jnrf$Csoeyxr^qpuae97%kgr6s1S4k82jO+7hy`z zoUK`)y%Fmu*^d>3~cd+~vr(+k9$t|G$4vQ!tjgErcQ8z0( zHuNTWVtphxE%NBOR(!c#esh1n4f0u|mQ@)i#%<^Dv?@TDiwWz;^-QGVmWT%wW zX1t`MSxVDR?e&3XDCH}&ao#yFm4LvJC7(`hGNm3WMS34`?d%sfRr#3xs18~DdS97v zI)J{FYW11rjVtfYxdHshrKbFZUtCNThgMBxv+oG^>M@~!b|= z{sJbQshKXYx;?l;2=9Q?S97|ZGsEnKUR-hc?pnND=ajGh96?9h<}X@Bu$1sb1x+o| z9||dSDzTi^n`@OSmBIa9fDY7M>CarmoPAs7S6A@O#~)qVzlz(75`Iz{q$zwVy?Vrz z1`W)s!p8Quc{iZ@a2gy^Xidn%+AXBMsB{738BjG;P1MrTGCT3;rjO5ANZ(>G1P{`2 zhlOK*?YfLzdr!~JEliYa^--FgTt^zFIf^1|Wk^Bsa!=R+x_ptf27UegV!2~?g;V`1 z`68`SQc@28WKn{pNomjFa;@Z|^&M%^@52S8W0uQw{9ivYkpG<(pm-_%w`V>CG)cO$ z8Q@)}iS`G;9L@||-z#IOS>emQu^;KIf|3#uhzv4ETSY9|%G%m1bT>->2PKSF@B6V= z7AHa_lt^UK^r35oZZm&bPwr*i##)ZIw)uEi-K#tfn6=C{#w6=-ka-%CP8an#CN4R%;O*N(Fg<>L zetR-tDUoVGuO_)9Bb@@=2W9UORN_A?gYb7N2J7zrN<27s>$YouQ>$Rd&A<#O5aGAl zQ(zPDkzaJ)hCDTWVbFP}lj#mgt2=yw*|bW$PcDa|GKecsF*L!X@KPJFo#zc>O%SCBkq**$3&2PKg^Ew-g0)P%l&v-ww?~{O6=?{ z3?zSR09ZCT-4CFO*9paw#dn)4CP7<5FH_^3eDvXc^xTdRy&skAP2e8#u9ZNB_~(i` z#Z$=}aC)l5h(fX238(@kvv>;R(_ySp3022@Rr>cS^Pl+=`wd}R3=l16au;$(1e+2} zdevsWsel{-^Hg1prufO9%lDU0i{TB6+4EsPwqFLw67Ua5_V+P?^=kXzH_3hFz(Z7% z1h|q@zz#7K(jq6lWZ%IhU`GX^iL>orY!z`(uz)qmvz!r<-5pYBXjh#IttYgbaj&0t zT!C?ZmKez`R@(>T#Mv!oLL#plQ!&o4IMIGu%po1g(W(P&e(^3tlLZ}OWVN79oxFd} zygQUfC%lH<4EmDvCsXmxN0@c1SeuzXrT50aM@XMK_epK4-)uj>*3<%_9?d8$+ z+;Z4LUAcT74g@!`hC zAZ@I1wRJG9qrdESB7G`Cbl@8sdwXd%^D=SclXqEVetW37`Od96hkkVFr+&tYk$x!o zZJu@Va`|B78#+_R0 z8m8rT_l}sw@g=MQst}OUj)3fcKNfSjFb4Mo>kr_IIoVM6+*N{)e4}l%{8U0{Sbr$} z$@Tz`-SmSIl0BMm6@$Qd-6`sCU@SRboH8}+yRBm4tBtZcy0|!T1&A+Tfu8=VzWmcW zr@kH+Eky(M8HS`mdQfp%bLEtSU3rUn$F3{`*hn_=X_M`mu91#wRoaH$zMixMql4P1 zAyT&Xxi)#grKP-7W7MUOJi0Vd7Dj?l$zHA|-K})KB{wT4rS1QQNl!>sGx~={Ab?89 zEYR-WR!uofu#9Efbu6;|dOGw33$;uQHoxxaF!UHcD4jFtA>gr?T_fxhpjC&h!kvH_v5m&I1oqu&N{+ z$&NvKr+sE<+IFR5xDtnW2#p0lPWg3jg3y=3s#ByUYSVHi))DWE~WcR$9*^S8;mxac$!q-N>zHgp2n{8W!*QZv3m zYrqv}L&~e~QBQvnN{Tk5Wrb2g|8e5ceMik~mbYSmU*D5UT70WoYeybK0s-J7 z8gjBB-&nJ89HRUNK)104+_s;ytPjr^& za5G)XnG(e_c&vkj(%bxzfi~;{ZE^4ShOlf+wOxefBnjXpP3<3XKW2{CBx51uj`!*!trt4ty~Ue3Bj{2Z*>r59JA zH_<87{~~il@lJF_^9qDqfv%k=$9BB}`jELig@%QaSj#7ANtcQn5 zP?Vm;_ouN5>9I~;=?I0=&`eC{dimz=MB&%1anPzB6WWJNHky4P>WX^Wt!ra;DIJ=S zeqh2Um02HCnm8SnTgpN}l^w*+eJ!lSCR?^S)aMo7o8Rsf*(k}ZaHvB=Qh46Yf>JEa zR&jNJ5id8@eW%DJto=uTgpgA|c64+M`$JC2B>+*-3;6U>_P!nz#A2l$iU`HAu&#J@Q0A72%BHeAGO!)=~cFy=}9%k4pCds2q zqDG(7N~}xn#xto9P#mUhnXOb#bSUx>!+42+cF>rjVXaOG?US!oowmQqoSjuLx|Xng zn+C{jsBj;`CT#MVIi^NQl5>bS(HZLTVVS|qvu@hMk;z4W}2p@2zVbboyj6qTIr z{t~ASR=~+(Dx>A?$A@NTm0LeoHMattK8G|0N+VPdNKrMizw=Wgdr!K9d z^Ktk*ORYy%vL;f@s=!s?70$_^XF9c}UxtQe^cqOEFIM(uUCB0DUIw^|5I};YG;@6& zKWL^?b08C6=SQFb0<7n=xn2?AU-12wvw>+OwP9uYrbQ zMPr#{on50Aw$Q_^OU^~JIu$x7^|A+=bh3adIpEYaKe#(YIxdN%!M&e!XMG`KOaY`yAUdRkcIwRjPOKIsZCueXmdtaKVXs^J=M0 z+~>yYyq(!Z!NQUf+}B2Ho{U@9)H_kKi@Yai|03M;xZYhJf#l?sYnii*w6_!9Wsng` zWiO?wtt}Lj0%vAssu0=9J~Wh~XwYy!^R*^Wnz4id++8Tt_Giu-o@e6o$#ShUFQi9M zQ;I3iM*3raN!EHL>%-0|lK6wh(Ky$giuQQvPtfps9aWLSa0$DY=HTdTvV%lYR$vuNO%b zLHC*%WdW%pL%kVX@d*}mx_hW3U&1Tv2C7=BoV;PzN#V%Q_e1ky5%R`=fqV)*{6RZX zaMv04dYxRKGTVHZXCM{=sZ?qehyZJ8cg00|>%`5%2}e!GbhH_e2>O$I*0(gSyLI#U z+XO-td`SSXbXOIV_-KRNgQ*nTNGVi@40QTu8G<7Q-Q{Um*Jn@;YWVdizm|cGF{*a#lA3W>6b1-<$R}&$V zfVT!AYFi%#7G#{Y-U7^2wgvz7Uyd77UUuKv)^|Z}DJUqo5nXg-Th#dd)s_ba1L7?ds(4~ccNxZcHRRvIKT;`MmrwZ7g^&s@zK-n1febh%_(t%J6 z4Akmp_|4AE@%NW+T@hsJIJs7f{#_xrWR#ryK&O6;WJ@O@gw?-Xuru;JvO|C{j89z~Xe_Epy*)jXLf?8O0)cdUn(}@ZsunM&6h85T>7L3gtQ3+BPzqAipa_@M~>6q-{;t z+ArI>IX)Z=ILLStL$!~fptt(zM%p4lLnmrZNiUaJ*&v;LSH=zR+CU^C2W)mt-5tK@=)e7p{>4*9aa* z#5MJ7fVDqO1(fYFZ~?6n76I6lp{FQR?Ug^1>idqG?g`-lm`ufkn$^GR^Ww@AbGcgU zUvs*V#e$`+`~}AK;s>ShLgVxUDE5>0l2-e+*F%OxPPv0vnVgL5_))cQe}!4ohk${G z02wW6*fu_C7wXLcp-p)=f6Uc_T!1rm}kdcqQD&Gn=N= zt2@$O%=f$I>oqvrcae!)mQTz*z4`Ihgthymwfhlkvrd#pC$COQ2tuK5uV7Y-+i!Fw z?OESvbg855`FIlwm6~{~1OGjYlyiI*&08l|Jo#Byw{rgd{?KL;Z<9VK2h;CiRMu|T zihuHOKok{1DUQ-$dK+I9fcrpx4xia6X>}>Ta`Dn;4skhuPb{qVaAll01lAhTNc%2~ zHm*G(tv}g{1C)=f+8$KM0!-)j$5HS1`Z^dAmO2duD ze5&j;3Khlt+nu7GjiV9Ns^`O$8U%vpL)SLx7!1?X3T2wEeVjn1%W-BTH(KN)3)6AxT4*=XGc(P{Kv_t)IU;j znnIs;gqSb1%99$9_+(bC+G*n#e;XP>)uOMyw!M!;v0WgesMOc+&H>cN*v%s$E(xsk zsH+E1kIUsv(;INrthBGo0bUay9<7av)QBc2*~dhRC^d!c7nzilLeVYqdn2<<=o9iSVep89p#yf;WrjaXLH4M3G9LogJb(R0Y8Rva?baJ6d9Q$=-Z|(as?}lGsdyG;6(pi$7o|4j zFAEsGa&;(>#m|RQmxl@a_|H__new6?m!~F@>|-!%p%_u^Jx*g)t3#0|ufG1OAyE6o zd#dXN1mh*-b6#L+z=!WrKIiRdWxME%a?Y+l%w(v4SZHo7As)*jiff3Nnf!@aF6_8rQ>jT^k9?V`tl z$o6GERN*ML!{68I?-&n(l(-%3Arb%c%ZO4HCZv5jxllkRkT-T%S{}dLxOQ{#gOChV zw~(nnSvyg+>mZ^=O~6}5Yc`^J8tBb6%3)hrW@^|5aaFv9>;WVHsTWD3q|F54nXO&htZ`C<`Eq-M z0#hwx&n+M~+OOY-m5BP~I&6>N1reebl7SUofJ5uc&`>%~6qV)F=`&>38odMM5QJoo z)MQY4z=1~IBZtlo@u-s)Kin7O+#=10Am3CxI!DEFTP%=RoN!? z5fK3B`xvCE#s4j8t*BF=B|ycO{&!#p>0m8jg7@( z(sAl2dJl9Tj##V`xLg2C0UQz(EGR3}cr+#u8)CdIWWjHTg4sYI@t)tq?vy~NZg3PJ z%AV@)r{h55yLIa)vFN5arVEI0P*J<@EPruyLKH;AsWS?0IIofSVIT=0{SJ6OMyhF>sdsLgR0)qVFJ8NY2c~{Y`4QzdjMP{`_sTk z=;-J;%KWY7^!l zM{rj&^b>%9n)<`nXCO`)KUG&(2fHm)0;>;b+9a!xdG8zp%gkcux>^+((NV5kgM4W@ki~iZOl2oU4vF8(k`bvCzos zsG)>yVNlQ%!mNan?Rk5ChA@B**D+xbE)TjJFse^UBix4%IOJc57HqTTSrM|p&|jiM zPH^X4Dmn{G^N7F$H|dcxF6W$mO0-8v-)Wa zx>B&KiMj<|;dD-NjtERI2Mko;u+JO^%kQ3qO%Gb6)P*{7bJL7cww$Goncf2mx|Gqm5+JSJsNsEsg9sp9T;ZH!9xdzpL`nz1)*-vj zVzrV)s1S8r9&~;NQaL=fi&2;zC{SA|q~pF*2;xg&_(AjIsP%AltQv-{>wfw=lIcEL z#LI;?ICi-dA)9;UqNNp*4aUjLdB5;MWmkaNK+XJmOv3t$qR_t3Y${vU+UY5f{6#jB z>^;zUSX!L;UJc-oddWCBRgdx!&n{Gox>7r*MEEmv>V4GcoJeE1R=q?fPoiRQPIo5v z?Dn_X*7&O#UitG@UyFG~-7{$4U_!yg4BpzFi|nPyQR_q<+@*@(3&FNZY_1R<_N#pI zv}bDEILD0H94(}N%$R~`MFU@Vp@s(%Fg}S!TJ$O+FIYFKdWb-*aLEe|KE&yjk+}(J z=s7|7IF|*P2i8VB-NSw0IrMgXXC-y^QyIXyF9u4R zo>W%>v-EK7D$wA)fc~MaBTgzj@#~<1-}vU{PG3w6K3VP_bi_H zj{ft*=PThgq_q(GS5y1$+bT`{SP)`!cS`2o>)X6T__nnZ_VWaxPRJX`Bu?<&Q9->QuV*<42 zKpcY_^d0CCGBQYRh7^DH)J6DG$kiZHS+Sv*wmTtd*!1|B5SE_Dfj1K4WJo;7lo;;& z#Nn8}4eHZgB01NvLSiOZ&}X7*ZMXRYXqi9HEXN(nL8#Ly`gYq27FlT_Q8vUF;%9F@ zIs(N3vYP>9bR2ku#FhgH<5M3t)KL0}m=6>lB$a9&4K~1)Y+XP4fUc3x;At_XvdA@4wuARla{EQ~(_T@Lfu*8M?}&{VVkXm?%>WXXy(=_#a?a z-O_|zpEFGR153BP?=Y_fLk}9lDST65rGQqu2bBv6t4huam2B(;95;9|B?AkgsTOz; zhB%~D%W^DEgs;Q{MS_%Fs5NkSK@2uEnUDue-7x-osppR}=*u6#CzsLZhGqqUc^cAU zGvpUH508#qR7DGvlgj0uYvib6h#SPVhFk?o!=v=M`ux>8@k{k;o`7tCS%Qk)QN7bQ zUJgVQNL>wJ()Xd{<0jBinNqlg0vR>>;0$Dz7npC*joaL^?^48$5Kbvwag4k4=)aE9MN9V0Soe|-DiRD;rHrj7C z4%2HkuJZ0|MiLj4(kmD_`PJpjdrkJd8KMq%3d6|)YVu9W;mGG;k2&;QKVxCwd1d~f zM>A+;M?G@DcMX#Zn?;t2)T28^&usG0t9xnz2stEAWd!WZhv|ojY+1Mt@&0A}W#{b! znWVrW;}EFejWre_h$x|{M(a=IDc+kFHsiA^`t3W2Nm^eQjDJmWRH*Uijrg#aAYj2y z0c@m!*!62bPj=pp5~6ugyq6D8fXTr!N3x&Wo}vcMEXjcSDLj0~S@ZsbGx7x#6Eyfc zvS}#T(&j0Lw3FJRErjyB?-Udl3xhk2;FMhN1>h0R@6awr-l%W&MX;z&)Y@#(OK{(G zN@jUEKHsu(gx+j_X;SeL3c7RJ=DNW+Im(wV`l72zI%z|Igb0;|7aJg6A%7zXWaQ+5L}_q9;DraTJI zcl@1qJ+}|Tc9zAmD{9yk;U?#CP{tqKE}@2=YfQiTS<9vC69fbhv%1d?g-hXYf!7yuwglfm$P`%S1A{K#v1tJ!V zEPlVW+}Ke23#tGZm`qL;2Qydi6a~1|5e_W}=peep%)25g<2*SCh0>QLa-(2rgRG1e z>5Zy}9a;}YR=ov#1jqpTp74W@D2|qmP`TTN!U(IVHKgvM9BxDvPJVH5*Q%WBS1FOS zllMrb^5?taEDy>HEC+DPGJchYIs>k(QPmB~h1lev+}vE<25xpCOz97T;y8D@i$>m5 z9>8(@iDn(L$3W@nu9iRPfJ#6~1oLy63H=k9F@G@AERqZdqmU4rIT{0Jj$pV*epHd;eT-1E*H&?5lQHT_9gm^&ktkkVM+l0r4;m+U>(j zQdXUre?e)51{4ww#ON2mz$t22{XEOSqdjtl!irp$J_78@5NB%J1Q^g>_Rg^5p~#`H z>!4CIM+3S*O%^<@(;NzEe+;RQ~|mT(#TmB~K)^Vi#GA|n2m2d#T= z_Fy?Z!>3V^`ItvO8J%BnyBx%HzOvOsOm3=|!OAJ>{0`kU4Dy(8D`1+ z(c)?*wzuc}DniY^MZE92eh*#f&`duANwkW4jaR6n{eJ8iVrgxD;A&Byp{jqsrp9gq z`h5crh(g3SUd;oKMAlVwtsqbzZHC++?RC~#W*kP^DLxe!FZh)+;4c_S&-hCI4A)hq zUqlG*u1KY7(VE4RHD`d<6#WHc;M}kQ*!OT84vw>3>Usl73^8}B?Eu6C9nMLp&;w3{ zU4Mat!{eS&{HE!c{)cx!f*htj)-WlvP51AwqaRsjeIeRq7*)WLBuL!SfwE5_k0>Tl zON^n>)XyluroA^aW;L~xy7Emzhef4|yHMNP+Yv(#;6_FXZD>`i(I+GW$e6^0&Gp-h z^j0G+;+&RC2UV#u_8Ctstx<5Gp2-B~6kYUNK|v8ZLObgQS?-;YSLghZ*XO2RW{X}Z z0HgV^SB)C;*gb=8etG*sJ6Uj4*KKq)8#m*u@@HL)$JC4gfppF+n=I2*;(6N|5A45~ z)I080ytCf6T>$hQ!9xGsZVeonf|UCe88oKSu5zmbd23!SXx0WB4;JKaJ!QoY5MJI}I;@ ztC)evN6t!~ZH9x6Ae0A>pN5ZuiREV|Mgg z-EOLZhVe_#Z4RGf)Pw^^`)SqLidf;rlf(@G+vHsBSkJTvPvirrgQIoHr*FMcBv(kUzWdhNN9NQ%@q=KrzJmZiu zlEUA3bK#S!>`j{2hMELFb)~W&mM||rpLue2g+?7aL?21f8RKgCv%ccN$1t3Efma3J zBg>!?Jvhw9m+YkgOnIEwKzpItfg1gALNi;fG_$q+8{sGa(@gEjN@ICov8%|*SrQrk zGdfI=TrO0<)1kFFc!Z0aCop(gbAg}TRQVVyv2d0+5IS}zNd=HZ%0A632kdYj*wRDS z-iwU#Vb;zEaakl1PW>{2#_g+EIJu08!dh|**G^(iue<8xjY&+lCde<8kqL@2G7!-c zpoTpO5U&lE4qm%~^s-)@jb%g=q)YOnq9#?JVpegeqAY_5w1}|WN$&Vm(#G7q@P!BdYoNok5 z+rASR?`EKjp8+Jyv%L1jkD?L{1U+CYNMZw}Ub29rp(BBk3g=z!6m1wm?Lnmir}j4h zX~J$c0RTZMUjup-{0Yc?fGeSz2B$P(10iiUkRDZb_N9J>3Xzbr0WJZ5xxxVh3v!|y z&I2O~!PTqCp<0NR&*^+dq5nw-wGTSYouqB1Yg{LwUWD+2%98SYgRQQnjY3+&imyP3qH*|13d@(qPfFChvaMoLz>CK1k!GF#R znibvDpnU=GcHvMES|JL)2ZAoNxqkPwnWS1*U?KxR89>ia8gQE6W}{wpV~UWq(mKAl zgW&e&F+wK7kAsGh4T>qQ_=nPk3gF*BMRGW`1o4RwE@0Q&IsrNTWhT9b)uFY}p~Z|U zB10G2+z(WGNbA3bYq%rG|HHCN)XyZpiV1HGaEMlS(xL7kJ+>W|U$ZiA8b$1pb7FOla2@188lWHWW&`MdX_+G^xUDJu1S~xA$ck7vtucDie*J^hY3<-m z^`RhEd%?=@dl6%S5wP%9mk^aYpTKb43RLx``LE0ovysS89)94JY!f>2f8+L&9R3Vz53V2M15<}6V_G6ogpz0CKurbv?wyB}I(eKd(U zrwUUA`(sbzGFVd|4@nA#{m0%Dz-%f9uQ(G`xBftH&ey|r=$G<)Q{cRkvMRAA)6xIL z5*#FtTRAf1(RF+vYj6(9BvuMiHrmod2>twK&jvvG>gUQ<00f3BbM+varkxUgo8rezHwg+gy|yf(+4Kh2%5fHi0~8VF={Mae+UNTirDr z6pz`Z?CL$V;Qt5}l3nUMbwyVf(e->{zCkth^4Q(Hz^31h9{IK!T28?P5i$(z8n)_t zL9f}btWY2fb%RtNX`v+axCd%;Tk*{ZlWWx27%4J__yj<|Z`Tq+iBb{&0wn29apJxW z*#d~$i_|Qaa%>I0L~BZDc1(C+hkDJwa=b;bliiHl9(`i)f}u zxLdUy3^_Y8Mae?`rvY3L14fVI;pic3M)N1qYROt#k5Pf#dEekK)0{!bsDh-tFmw#e zoMC+G8Xo0|My|bEgZbOmwaZ|(f~GFpKS0bDB<>Vx+EAeO0((5cbkvl$WIBcvDR2$7 z+IX7B%e6Y_%p)+j7|0Wu;CE1|5ZM#hQ%KnYr()pyAPYkf0Rn8v_yolR@U#?L8}*kd zOfC32Ogc{P20IIq#)oL^z|iK}S=%!2pQ@K$C^aHRk2M^Kyp6yFBQu0pcAAk@fIDaL z3x@c-0yz{M3u76v=m%hbP)gUv9}-ctjZh*?T}E6O`0x@7FmxghWq~pP?6yI?9N8@) z(*@zzKy!=Q2u_D{!^a}vBnli9(|-4>PM#kWZjdPe1tUU3YGPH*bvSkgc>k-PvH;*H zH}F+t0u<8uSB(qe%-EA~qMjbtVc^^h-dD`lSP+-T8Vkc?;lsZ{vA1q&tx>7THNPrT zgnN9-R}(mWg!V`D3W6SJ`;t&0VX#@~JApO~fE@-rn_?%mZm6cux`0Cduj)+SNfk; zyk0H@Ua(F#VK{CHMF{R$B3C0FdGgJokr!JTxDq&$2(mJm$`NN=f}bopWt8CPC<{b5 zUq%xaE++H z-a&vnNR&v_V%GS04qHCE+5u3~ zz}B(N6KsuNVW%u&gh5sdF{l~nHrR8)^`&U{*?uqFIHEMcjU&#Tl0b_ zBwM~a)JKr}5pNjv_}??~fA|nD-3G)O=qZK-3ULg(8I2S_R2=A z6S6X+3uDd5cGWQW2Ch-~(|@z?{intK-+3uBy5-S4n52090dKNq9s6H=gSHwVSiMNH zdw>mQZKFrjr2f`CpAFkW9WatV5Thv+_ysPT35x=Ph8Sd*$3D97JLPNMFg2nic+2*! z_>kDPL32JN@c{++bqGuMUyBC+hy2C=Y*PCF{o5@U6Uw9>81?TOZ+gwcGNU@gw+xHO z5ztNaWC(UMSJZa|DhY`4l{=2?(xu zInXyj(>iZf_3JTRfKs-KY7{!eF7l(SM1K}y2MGf@2`aWm(lCCOeSO>H0mctNo&ZzA z+;BF{Py1BU>D8ByAFY9hD_Z@>{MkfPfg}Afz)ARH40RLuj|9$K3Q~SUEH|!tR zpVm_VC>SmyVKXbGsy(q`)|{emyM2GCNQdnGU!m=ItDxn*ZxNnXfC!B}JMAC(W#Mxn zufwuErz=+uf&;_koZ|L}LiFBz-o1oq2f7C`WickiiiFqQI_<~^721H1MV{jUMJn1i z7aSH}R)20wT>oBbom6 z?{6!3w|i;CjFJ%(KPM7udZv9%g_<^5fG7+81Jc&PsVc^NvEfuwuj~Hp@p&c#_zt0* zvE4L=llp|$*DH##JhRC9tnN9L*hg}Pa2^rito3b5f=W4|`Sq1{*F>9<7$q|DIYs|D zYgE5D^_PID2HLh#vb*kF4ZU;j9qE^NImhqGY_{}(GpuRU7-DWj=tn4{NWiFVZ7tdr z(~;mqe7&3L1{JITenCN?qUYC!lc!iwe-Co_U23G@*9@`rm>@CPPp18ImFa&w<+ogj zWTO%|QeXA2uHfz_l#*D0PQipLLmu3KOlO> z!p6tdum}I;_eFKY|J$bLDYKmec5eJR64zNTn@PS>A+KWzTMznB!}tbp&6x_dJ@^x5X(`emz&~nDnv*~|1jhdf*H!-swk@PD zXkCE7;Z_tBc)ik_On8?9kFg6%lvfjrE}+`k+h0YRe)WvR;*eme{loHi;Y=B#p2POQ z6wa-`!B-U{V?4F(O@mZJ*gXM3UE(qLz`INW)?}og0A7j)_tnTH_t-T#&wS5SN*iH!?BPpw6Lda8+!085~g>L9+{~$aW z4#)|_oCQ(pEd??t;^J7egIs!ccC>Pr`YFT^rY&VhWFM=iN}k&pXvyf9)`0#DocrT0 zRQhs1bdjE_0B68%1b~UZ{VW_l+0F&e{lH!b_9-O*BQ1^d+yWqXR(zmzA!qNs7lMSzaO@yt0*qTf#7f+i^RF2u z#Akn|cY6@0SInpYCma^8!{ckR+zA97gh7F21A@^fvI(Ai0Dc2F(hK-HTnahS{h$## zZ@{?%|BJLY52!J3|HqGI7-MOA7($8|3{iykvNSc3>`M)m3CYr;l=h6Fj1(fGI%c9| zi;~h#DwK*OMZ2_jq~)}obH16~*f@B96}me=cbUGF*H04cJZ zG&?Jb8X+M&M}51>-K2^p9u9yxr_x^Ybv{ar{5wCMOOck8EE9IbQexOT5*{z-knrPH z2B(2u@J*~}T6(P$t+=~y_64UK?P4w4i*b2V<&dC5--@xC7q@TDml}#jJ^z$12GE~j#*zF&8gF1YC zKy@?|tA*IDS?uQx=MA|WaYlL38d*_4oqiYikhkrdBTE5UV1!912*uU(Cc`S|QC%u6 z>wJ&fUSLKvde4i22g_`xxSo0g-0Mz4!bCu~jrU5OYJv|!5}#3AgP6@c7LP4;d(O%M znw8N5JEuKqx=navK7gH&w#|t2QD3(H7nR1&d}m+AH29B6^$Op@&G@>_=q_}e86hP% zBhjr!Il1M;v5v1eobon=E(8>%>cfBIDO;gB_qh5EIe~~tQW7nBE;sdr#`pBh*`0t2JO8hS*s-Sv6t*G)88f%{ z3HK5G&>^fw1vZj|*52MEiTmjd13iq5DOuw;{CNKuHtaq0a189_x7AOhAEp36O<;Z@ z8TpXeeKFdG=<4$-{u!NI<%WE@jw?GY@2cO>{smw1tQNzN1t5zk7TtK=YiuGiO+as0 zo1lv%$fe4Rc?641;;YLgX^_0_YjneSsi*_8z%e4g@lf+9n1+LBOBW^sxpNq5im&iPV>LT1@K+Z@}h(cU@Kkn1dBW z{a&LR&PFFi(GetTopr!RDA+O6!lFX$`RGZ|M@zh#!`+dP7N)sYW+!VhnbeKa2T?cV zP+!FAMuTu=%(sGiJI}-QPjf232pk)q8?e^>`NXXHCr}`>P=60dwX=`3XKv!{$5GuvgUXn+K~Nhoc|`neJ?u+ z7BlTV?lG@_?UbaY20WYsjS`M}^3@*Ab{4 z3|b(nlbbT2wMKdlhf4YW{`<&`!@IYbt?iq!IJM0z0JnYle)bpn{=-1L{w6-j!wUIDO;6bHo_=rUHsPk^g} z&Ke-`)T}5_e#6oCC5*^G1Wi;%vCQv2dTt@)SiRZn$H|QI+!_Si9bUm`jD<~QzGd`7 zELQ=~_F~t9A)zr6V}m~D`;R~=P8>sglAT}R4kHrTT?j)w6#hZp%$Y^BNKVEvyGCu@ z9^F}Yflo}|^J3&WfF+RXEF1n2BY^@PT7mq6)X8q_n>&d#pBvuoG525d%oRbF3(uZh1%G1BdRG7OiN!nou=Q%_ou03F z{st9VP)das`CW)-K4WjmF8r)1EAt;zP1Dyct^sM()4|<7q0KV(jqEdbh|C^{vi`1s zpBhVXN0Hg!J`d3Bm@=_U(Ck=Mu*o!-i5})s(YcJoxT|^vvOj9&f+C*O`&Pjh`6YZg zI(?lWPWO6&oE)QazjbPqI2;;JeS(IMoBPPLdxZy6gq(VRzU6>K>$q>VA|1T+q9gId zP_Tlb#}N*TxJ-9=f~GMy5UWFoueZA)*s=7OW2uwHjZSdp8m~I?W-!yGKkxTV8+bo$ z%Y>okVAM)CX~+gZ|ARUvOw-*lYEpsj@S`$iof*m*zT+^WMX-kfFC;uV(>mXH^jHG` z@DP=W_$@D1C_JNr;c|JYxf$q!is)L;3O!7y{UlR(a@M@i2I)-8*+|zNH_qd7m|TBz z&+RRMj-TwD(pd||lBjuN%2-Lsi!mPGYPZWyTjztAFu$_l+iQ{?2JiX+Qr zwq&GVr;N;Z$upbKP2Sw^EZd(T##r-Sxsd8dCt4@Y+kGAtzKC;uV>Gj-_6N2{H;L-> zWHUm`gein#2tRK6vnzHuq2ZQCk*cg9o(C%=BlYKB6FJ0Do4fK?(x+e?TCu!wNSJPHA<`;-#t|K zsXYE<_ULg*Tn(pfPoHBVeH2IGp4Ez5TxCpF^dfa%sdl7i!JA2QGoZz6m^x|C!Gtw$ zFzG%~%`}A`R8=g@@SC4lGHq&dc*(8jRk-k)i{cae`wT7vTHyWUcun|oE0L%@RyBv8 zA`(2Pa$0E)33IBwc+IXu!*V&`3;@k8g!Od%{F_6Mh=&zrp1Ex>K;P6Ngrf3SHkmkm zPqmB(dzxaakSPa#j*+F3I^Qa6=kxJRz@s`kFsi3~3(A@=2XoAdyYJifh}uObjw_f@ z)g;GeI>kYhQM6Pmc&H}#Rug+=cmN^6Y^uie&i(yq=1sj2Y8yELI-y7DHJ0}-qHTVD zoZng<-nb@o!92evt**W%L%Zt=_xIuB7^C&grX1XS>dR^R^Jh-OBAXg}6A6l~YsLM3 ziE?EpjEZ&i{rgVu?f?x1s8YSZsI3WKT(P*XD&ej~R4U6(U&pzGZ$Jm=?g}-Ex-VVnyYmj~>6n zhigzLf^q|9Ic3UvNT&!JQe>DPvL21o;mos*!}E`UkOZUQv2y}(`apz<(+7*a?G0{= zeg`cE_Ry@P4TW_OeNs&YKxTXqTEK1%vkBezTSQeJy(vHP@>h{Gh7&Z5>gVyg9rQPv z>t6&+SUznP{sh{Rwx2-Dj-4;8OrZuLLEQWI@6EpHLdRK@X@K`WR%k^N@eVtE!oyb2 z42pZa1Aws#x02mjK+5vZ~-iHN_RS#o@Ox%CZ^tXTfYag*>;@(x=c~11vbd(ITg;b~f+!HB+ zaeh^Wq7R1|49enHCf7JvaU{;E6(VOG((`^@O-7`kD8aTuBp{6^Jn7)i1ODHd9o)o_ zl{jkqgeQrfC8nVTh7vVCVd~W>Kh$|t);ZB*8JR*)I|~(H5sso3*TeL=hyRC84wOEn z$`dP6NIR2Yadz^c6GB{|^t{dFSY5KlCst`M&wXKRS zGlVFhv$y)D_A}smP=xpk7%!-X#TAgg%Ps4d(*fK&tbsDCAXZ zU{wGt|FL?t21bltV~g+4yoAo(C=+Pucw?=tv^<_&NuZe#HBx`7d+N{3uUJk1ItFbZ zmNxY5!SCucN#GUx#_hcb63W>jN_NCL^*)g8eeh}Sc9wbY^n2fnY96v0=?C|YziPhg7lTj_y`xv}O+gic%Bp=_Aibo^h4H&Xl4I{yR8pne zy{|kn&cvG<6ZkPd(Dq`RI9q79tKtgE1iY$;KQgg+CELBjJKr8X5O6cTE*HRbfe1$t z;fa`0o$|$+O*K?Sfk*Pd8<5K8qAkj_k|d@X?G|<9 zmYy(;5N&gf{>Y_@{jQW($H&5(w6U_gswX4;-nYX=7YC@WGOCvZ1GMM1u)~%u8MnNk zW*4Q@6Nr; zTh_EeNTODozt_Wp?=IF=45ZtRu)=|{5)njQ@p5n`pR6A zO?!Kzn4V(B7B*%CIf4~OuT-aKfYP9uvZB1D+}a#cesViqmm6Nx{}TjT6DI^!rX^P_ z@?vg=J%o)6gR1TT$@Jl1+*OTh!pA(Pd$?J}V@&z8-Rir!QS!hitHgzu(UkntYkCZh z>_67e>v&=7Zrs5 zgc2uBFI)IGA|S69giKr!T|}L*sd)e@$03@1ZJyl6`h1t!rv;<4mtO+wW7iEa%uheI zprjls4_nll0GiK~i4`M}mPekbwjM0YzzUnJ2`B+kD5QvaNSsQE8twoI` zo$qtRTEEd_@+7E)MyU*sB(0TXmTYQgKD_o5v^hys;#j7se~@kqudJUJZ{nEBL--{p zhcqN;YDHov8FpDgsK*#dNm09pz%=u?!i8&akVwb46H}u3OEd&+3c2EW2i8Nwt&568 zdq!9**FgnH)2?E{h|JSrb(b!U3a=)Wjj5o3(1*1V=!1xvbYCe5o+CkYF!=%gH{KTb zLQnuB(UOQ9?tTVP=$sFR(e%95P?ZaoBN{q!jVH3#%!#IHrmt&_mVP>qo_v$bo>B#| zJ?@uL-0f==oU`2R%zoa?Nq*k|O*wM^ItTzTxfiVDH^qM4l+&Q*oB^S=B_6={ZdE?!1w<1YFE7cT_&w^AtxS6<@1y@WW)P zjH0x>p8+ZqwOq7qc>(1sdDh>qC|uIhL8nL(9zk)8WT3~r5G(?!4sb0fhn>4OA>Vxz zTuZp&2az83 zb^R~EON4UNhv{hF!$fa2Vb@4fon9$aql)O$(?}u(^>U^Rs%Lc|#_AWjfsHP}0Dv0` zr2G)Ny_LNm*0*38kkDTfihM}TzXk0DwsA^s{T%C!IJzmn-QZ_vRK7BQ?>9^X2@kU<;D*8`-1$A_AY|J_Z<2Hv7w1URsW zF~Q*lKwU_}ftoWc1t|3}ZYXX6e@NA*JB+Z=NIG^p^!#3oF>D3Bh)@JQLOPT}V}~DE zifKaivrJ8_f-3-eW!N4ik%ybx))uIi&5q$-R@8m0&T9ENrTyo_nJ^NKVm>yqP$IY+ z1**_)>WcRqK?717%5(9EFtLV)KI;k1LrVu}&t;28$^VLB&M6(*;!@@~5g4SdE$wUg ze$wEem;a;4UR3D(yb^I;a%)gHb!NexR#~aS%%CJ36y`YKF2g|_c6Xo=^61P1Yiqiq z7tFd}@jOurq|KZ8H9y3M06yjr@-w92SJ@f*r>Xfz-E*(P+1j(49vXdY;%REN%saiw z)JI`@q`{O4$gK^S2%EH%Tv4ls3=DC)M~msBD=Q3vW+@IQDL&ZY<+7x8M~H~(P@O%0 z zQ1fqkC^s?Zgrm^ILsE8Yoa>)eZvC1T-Jytn#fl$?(VRiY88$2+Dix+BcT0jzK=05e zvspPM*357oxOaS%6R_+;*x^icdA*w(v!^g5L1eUx(35KO!30V7lX|!7ol-DPV01_C zFXcgP2)rl*Ro`fp=+?-vUR(NDFR{*hc|!l7AYSv!pkQ6*C#CmyWqsbgztX$cY>o3N z((BXQMiq{u2rYIfvjlDg)RAbOrdJK^0DO|?IV9p@vsnlubpU$QUjFkSl0j%ZC=S8= zHunQl$x6HLV2s7mZVZIke0sJ_nPp#9FhL)?DKw*nwx#^=6-PSH>?24 z#*Ov35H>??tbu$*K zs`f@j20B-~Du?!Oq;J01A*-g|WuF&;C8?HiC>N&m{~}4SY;K`u4L*aKd~LR4lmpXb zv|Oc_&>8?CFn^lU07)RcHz+>gO++ok1n7H&!bG#JZE&5yR_H6R5BBoshxYL$xF3~; zf7bxZ-n{AlR*m2(`Jr^TZryd^hkqE`+T}`pBJF&ER&sW(=u=b%yzr8Bm!h7R*h17# zR@;{-kS|&}icJ*0<@qD~DDW$X^G+;aY2O@YSH4*Ljd#SN zHSP~@VH!L|+AgAT6E|Hb8_LxdY>U-t&yjv^9=UyThrQ(M_7r)aKZ{>qlJpt$on)ee zqVmoI6TdEvIeg?A=jX-yE4Bqb7`V|ian0`?=@U~&tu9FLK0JAN#PN8eN23M?eCu*} z^6|Ty74KEqcKliprSRhDP08H5MU5e^>&K#MH?RMoP-OzLgwE(GtD9 zy}gh7TX9lVva_=vp+L;K?H(?#{KmXR=-c^VSl*$Cwx_crA6bh!tXIX4#}^dmWn|!| z%8E}NF3%qtWe@=rVm|UHp&Y`o#!Pql9Ij&uv6B{AaTytY+`ST8b?2*(EZd>zU=(5M?wJ!Z{w+NzEB8`X~Fq^@sWZHB9%*VhBcC(=vj zHx7eM;#aw)>=*E>q@=Cwi;)~DFM|6b1;vr={YT{f{vly6NIsClcS%vM+leovK9XXd zgnR|r8G3CSqNaES_5jT^r^(4Bcf>@d-?yuo{uYDbbwuLoX^c zMZ2}-{``uu82!{I^O?~%BBccL>UVYjm!~W_Zbk{m(>4y>KYO1>_Aa-kWG`oexjEF* zL9;E)W+ipkUuU}0_*)IZTLwONAYK@e^RH(1w485uUK+IS8pMETbf=?(*7F&EyALHy z5$r%QIx?xlI1$Y&lO#wHS}xx=foQVhH5sF0a4d7xJ$|o?MU8)Hhlm&IXYSB(d}`KD zJ1r`W_dC7Y$IjVud(7T&W6YLwJLf(M9xB_|B~s85-H6>P^yn>&`|$M2)U5agc2k;5 z+}C-tBW|OMiMp=Ic)u$CsDwG-BJ{vXHh0$K#_kana*r1k&Grgt?R?_!*6G8N%j&s( zE5YInXOc?$t?$p7ev_o#^=_$kkLaL);;V|jNfN}h7cV8wz%1V5%LD0<+^L(x;g$cm=%#hb)onM`Y6n} zYqjX2ZR`7IV9HT!vua-wbkDW(@!7{?nHy8wk2XC3@3B$t+m?!NpPo#%G!sNS4OpW4TMYCHTP^}QJLjb1ZL-%^US zJI3(GBm{~O07(SV%1W)9E*}2MafpW4AE-X^x5Ar2JV#b18;Usj3A3?HVp(c@P|J|f#oHsF6Y00yXwzU5SHn`JbytRa~);^{_(+{ z&&~Vz6Bpz@d)DOQ8c>hy5X=t-!aN43rDy&!nlO~XV$J`HI_(m9{^A({-Bdl6)KoIy zKuUb{#7_4%3cO7w-{{rQa2qV61e{@CvlJCw;^Ypk(*VXP%f=?vFr?` z>N?_)M%rg17W=9G{a)6dFs{J!l!_rI+2u+5n(W20JCZQD5Mm=ZF^}1!4S_GI3QwKI ztWDiDjPV>D6u2AT^u3!6i7|B|9jdky#tJe)YoEJhpBh)O@l|$nQCWh;kyY{7FnK)s zC1`PFEt9A|1|g4xeKv4cjTejXc^gG$3Z5JWq$Dr`n`Zmk*E!(thF-03M0hDqiW=i7 zK^0;E)hz?@m!MH(hw6H}T9YgWhiLOmrr@a!OE|aGqr1)0G_$dk7q=qLFA5urenvAQ!_V>bmkECW(!6Ap9mX36h2F#C;%rBI&CC zKKRWbNp^vvZTrk>L;vxS1HLvqJ;nK(agK22N;v z2wD}*sJb*rEsP5Vz?!F&H)Dgs_F!fT>9SMQ06oxdZk#GdogU(?F$cVBn>2*;N81pR;*YtG=O>~96AVn07?o& zeo7KJqf|6+2ZrP1BzBFzqjvn3mOs#5J5YeTn9!cqw{L%&l|{?Ua3#${2tv?MW8c1; zd=FGGg5o^2A`=hnq#JoLdLU}pR24)&p~R(1nQQ?ZdYXW#@RKJv3Wx~SA|hJwl7^Q{ z$02auyk(1zcTHA0Pw2w;;lmW1DjS1Cr9P2lteH7jXoSuqHeeAnXvX$VYjC@hh^;W9 zh)H}roqTi-SDS>!wd9>rjm#MWhkuWG8C7M`_xRf6{2MWyM^-OA9%i z4?%2zp)!yDc;WuHjxw%__D1B_lHOQ<^LzkDYCP*`Y<__gsw!<#o?7CxXuT=|rc8J~ zo%mJ*JgwBnUyGfrcKbSQOmR{y;V!gwjVTVW$l6Rmg>AQB{22D^+$RUt#INhk4(H;XWFukPCDviE` z9fwHAylX+n;CL(sajRBHcETDa6}phN1baegS-ow-bYJhKC29pyNnm;qN(tz=bV(y3T+ZHd|GFyVNp#57riEqTlb z2M|-B80wlX#yIP3eFe9LX=!p*0OiG~kFPRb%wXkf=Ks;$vq{!j7^X`-+B4KP9*Sf zl}<74QE2I@P8qG;5?UlM23Ah04@pT$5{M!^l8F~tI+; z`yiO|d=mKH_UZcE#ilqN`ZS<%>V0ceYe7Z=KYP94sX>yzvxMH0-3gcWI5;e#wtowl z-hcI4lW{wq?rfA9rnWeRnwe^t>L$vPuiMC<*%18FMP>QMH{wTSvt`|+OQ>1*_CC+$ z^7e?Vn4+ZYm+BFGn=?1=iAS|OE^N_a>_1GBDxrnGV_NyPfbsAM;)^h&T~HWNE%W0w zw)wKR!*!HDV)G7s8EpxYnx^S@tL?P1vMQ^Zv4MBFG;K{(@!Z!pF#}^$1Wlw-odgv$ zxi*gHXbWcbTrB1YSSMGpFC|{-#tfsr?}?w1|9tcOcFjsQ}T0`{8891POZi0m_FJzwEg?bv%r<0rFkPad*4)Q5)U3&F_kH zt@5FRYloh{cu~E*-LPI$`upomzr+WrJI-}Si^s(Nk)hS@LG}YWJGaMdz5S-KaW4r6 zUp&LfJdd&QF|Eps9sKzf=+55MaK5Bxl4Dovnpa;wDdyVC;%q}>lX|+)>o*BPr;7*s z9u#x&9L~{sF$217cj{xOD&0pm19+b&MFNvTiWN$dNV@7SU!+l)k;8Zq<(L7^I@sF} znIK5v6;PmsWC$Wg%5?=Cc%c&&N6!*p17uUY63oS&<5 zWX1@zV+XMx|kxrXrrW^98>6zy#&BNnqPNri|^0V+*R`=DQ_ zUeC`9))WD7BQ%sJLg<3h5e%ZFWY5vcs=eb3mVeHfMr?gW*)y->;!-x#_gwehU~sLZ zBwA+Sm|(eL`5Mj4o;T-yEjvs&5>f?Jd@?;zpB{Uu{xk}LB6)fF#5PgMr9_iRp3!Md zFa%KL981!Zxwt3eKIQYkEscT4QUb%$v^M_8WKuzsOx?S7kTl=+i~M)|Cp3f!QRtZ7|0_0duBfO;Uzt+d z=}(zOgcvF81u4>@iDg2u{~-k|vfwh@a|RL685Uf(MRo6S#MEO-O!n`D=!kZ3?Lc-A+iQUf~=FaWWrZlTU!w(WPSw0!%=ZUz>j~YV!te~oEd~M zqE^}ICIfToVp>8zjH{i$$=Y#94}i}V)#&Jhg0lBDHAoyXD=UA&fqf3>YT_U>(tx$i za_cCvKv_yCcJuBV>eRrspOe`NyHCli(KThHqf7!gN`8hMWGd}TTX7eo-ndGsnwt}N zLhzNTYs-(sq@#zWYfJh#HV^%woy! ziQa*!9G~BrcwC$^X5%oIEsKW-NT6Z|L(k^G^Vjj97uV5&xtx0L92f3#6g&apU+UrK^Y=UxQ3H2SC{2OJ9| z3h?Ja-j1z^!+{(Afc6rwCI;bXP)totSSVnf?`Th+$$qynN_m-Uc(mC=iibxo_N!lr z;?&f3^hjc&3awGT=Ea#AfHTR&o@&;Zcr6InR#nbn3Aqv{;1qOd+_%m7>gwvvCMKn= zl+qAAgLH}X!5xCe_P%`j8un~t^63%wBZ9ueF_&6%IJ(OTBH+QqBBVxr=Lo+|rfvtA zfWIT!rNc30iv8Gnh~r6+yLt0wZ#-H^T_VTV^<~`a3n}Ba>6!eH43uwGFD8NFs4_GP ztwPXqJIa>rUDTt6@$+nC)3m9!L4oBk8bwQs!1`Wlk=*`>YHa*FXfa&8TMV|WGm+xv)_58JE~ER5@f(2d z!d?&#=;hJrRmJ=OA}EHm(0y>H6^Qj^{F?>4B_;K8+R$go7St3TxQe2*?1m&TRcuPW zEUPyDK*L7s9te?|8l+TyU>yYu_N_&ho%C(@rBrZ#REj4*XHNQy7cUO&K!R*Cxpa3- zC1^AA$XLi2fghs1j@ed8Nf>MDR4tji43wTnt&oP7OJ)zP%K4S#tE-qF)ViFBCoOWI z9-u=vM5ZLyjIY2qTYw|bbkYqy^~4#V$S>~hT4bTuMl>2tz@nl}JP_^7ZJirw7fkqT| z)wC!G(^HVbdGz{;Y!guqJ=%)QR*-z(95}x`H$?L|+!4kj#ysdIcQKoUeUZd}=IIz#mnNRDDMb*AtXM)+q3!dJHzItl-K{4niLlh|C){UhAPX-> z|EA793r;_R@*x{&Nx^1Q)nAz9H2oJnF4({b4&Z$Q2nKXvm)`A8ibb2+IDQ;3ckZydHQnmg$d;{%X?55@AyT^4{EdecUxP z8)gd)b%ktj&W4`vkgTFGuk%Bi1O#uIk!T}I3J2JHgnqE0@9Vb$=|b`jN9^*H(Y2cm(0a>6|SBd=t1EjD4Vi{q;t%E8*5o!Dmg$2+qz+tdG{-gA}~f7KoU&bn@h2wVQE9k1Dk<;HU|&QY&#Q=KmWP7 zcP2|jT_y4dxf7|}P-EFMYc|@~`o{R+5sMiuDvv@32%xH!J&4a(XQ~TN?Cnj#N(XO9 z5tL(3b&^Uv!Yzv_rEb^w@!((}~oNwi~d;XIHGJu=!6&i>Pm z0Yrf&mv$FBR6mYX>p|}9)1T&`V4AFcskzXWE2~vcA4MPG!aMMbiyU+p8C zt6Ld2;2`s<22LC$}GYL|*#I0j!8g&3dNVv%&t zFAM+GO#8zTzcr{JI!SYj)X*UEV|^~`T2MciH5wKfr&l?Ot|4F-AgToTP&iM_am|Yz zasIc@rgl<-&zHXJ{I_iEG%vxzgBS8$NV_w30!KyfPp3(J^O|pqOgFjfnKkkaAV1Wp zNb2sf)WJahhbIr<7^;$Sr)DmlR3lD)&a)9Qp!#?1Xmx>UhS^L*I4DeH0hOVuEpI7~uWHbw1S14-+j81!J zjp{AG^fNZDMq!NF>WLL`$sz$S)1y;@${~e9lr-74R0ek2Vthwa0#e%1Y~dqIVSn&5 zg#9S#ME3g7&Tu3%J>Lf2-;KZ($vrwbG!FB^Kw^U(QYUSGShD8T#q=mF4?tPSxN$Y8 z5g`F4yXP|*Glm()!CvywZl!ams9aWu(6){U!O8N!W{aL_lPsopQpPN;t$_)=Y11Yc zyKiz;H-zmV?0H6=!Ip*Nj;DjfpbGNj1&^_(I=U-L0#l@Ip?1d@yt-Hr<$#T{K|q^y zi>j-4RH%-a85n$wW){-BqjMYjiBV>NJZk&(y*twLQd^^&q`^Z|wo?^OfFHNaoneLn zQb`ZfT8x(CNr#%340?@J0D}%n^%vw<0RaK?H&}1X`rR9-N|MA6@zKu`qVw>~u+2tS zImfr+v!G$w*}te4g1nnozJXb&2fTlBtNd6cBWqX;&~F_JTYC}CGfCzKZ7hHy`&;>S z_R~weZR63%4EelX(ld-MdQzf1$vG=-$Cc6>0R>x=A=wk;MHxP%0vS_5{idpfGJzG9 zOaS)}EA|k{%4SBs60YcV@8UgL)w|0f0r0ChHgDnCn$K8cjaDTyHMFm8#YcnYf)go2|9iO*1^rULX7@C$p|FVTaa10I zn+4{AB9@^;vVe8LP@7v?*5&DWeVHNw7oyCQO6SShfbjAXV#`a~b_6}blt=9)pd~zQ zz4jnlXgZI2dtFU?90ygobI&>atM6pl$ddr-9u%|}(v}RE^DdD%4RLOXiLUP&TlHVM zK)Zn@gn2UL8Y*AQv>X!PD<2T~EO(pwEc|HwRw>7d)SBKtEzP{su= zNEpo81&&*$)VQE z_0M)Q==^bhnTIx@#g1$%Bz%;~0WSn!Sjr#KLB&{F-L;{Iiepi#mM1hwK_5^#VZKNA zDuiIvwe|!`J-*Bkzy`_A;CRgI4Yp4*nzJVs_z5gJR4vJwsN*F>1-=*IOl^acjo4)z zdNVwMP{bC#uoU~M)hKTU;J-u6!7}FMFsQBI769{ZM=AjsjU6|x3VowsUu?JE@ADTg z10ZQ<=rsFNf3){LpgtfHbmfIXSpMoj2l8 z-{vHylcR#F@Uzd*2LER?r$NO*7PyJmtUmr#8e|`DE=sKUMx{hQIcBs?Yrun%lsta? zII*d)r*3D(?BmG;;OjkYRdakAuy>2Miu*x?2hqmZ!?OOX8U{#PYFd3@rL(G2&QV0h zs99+0&#hl91{C>xxC5)9NVwa1>CguiI@wm7YtUKfkn^%0EYoIuE2YF`-LGORsWSY( z(^A%BvmnsMdP7ajY`}#*v#zU~6ERi4$AcYB%)NpE&dN8ii=mztA8?5t8fBn?X4{B1 z#!GRb0dD1)Pu8~6_@5g7mO_~ug(#z~$a9Doc6v{&{K~@TTn>9IM^PCLu>~yBk z=a2U$8OiT~AOtJ2lJ?C7-fLoHd7|!?(dp&C zf9GGwC9O{VR~M_J;&V4@*LStBpW+xfO#iIJ3k`|@^+14XX`kSB1#;2g1vZ7cVlvnmXGYfR&Nh7n))cAW^ndi%ODaxg6(@^_ zAXd$U3`IA-b??>vz=V8(`gq&d1Oh`fTRhNSWtnikz<$~wMH3Y6?)$D<%`vw(I*UdyH9$G2TqQYM*-iuWu#dp0{KZZr!wc}7fK z?4|U+!PI4rd!=5=d`3u%^DKVy}DnpcZ5VnCZZ>F2c*fL&=Z7shx=vE z<7-pTbbriJs3L|9Jx?+rO|I;9;t$8T+uZAmom1B{UHEAl|9v0{zNopkPCSwRFNjD# z#itGl8aNph)P7=5O2?iraD`hz&{)@BkIdi+N_i{)lg1hawX{{dw>OcmgaiK_9wE)f zDcP=5-joEA7XM4H_jwicySmM+%ovE-U-e7jhgtoS+3(Z-fkDX`!Oo`CG4}(u_`1ZF z`PkPKt*+K^kD3In)3d{6pgcc>eq}2JfqR zIvx)feU^HKJj#dXE!0ql+P1vy6BD6w+9I4?I~Ip%CZLiCawy2CfzLxCpj+9hHfXh%h=WjQU zv?z+@@HnaG9ij%s$;{19$;?_5&aGQVbm{*48c)NJ`JSBjzu_d)8)!QdSZ%PTfE+5J zjhVV<24-B5y*q^Hc!jONVQE8_jn@^9yhacFxv;y=Jv(ob_7tfL;zZ|dJygbY+JR2I zl|Auac>DD?nuH%492nP@O(yQ zTeIQ{KQy82cJ31Hdgk48Yz+aLi%)?saVDDX31R|CN$|a8g~F1_J?QKb9%b@)exCt6 zznpr3>xRx_liSmMOygi4F^yNWBAll*u(%34XLTV)=HJ8KPz~qdf!+MHN4Dcm72SXu z;_`H9&_1bVSFK3mSfu~ezAKtAbyj|U)l$ZfaUCyrT;aH6Mvgy_!Ec_YJNUw zQZ#BjnD$361fHZczNy#JpHiL((2E&>wrHzk5 zNE&f%TokJsVj$fwWz_5X^s+~X-}x*zWs3gg2uO@Hz<)!5C~gdXf`qtP!%sLX!yh8*Hzd0PfTOfp88u2REYa*(C%a%{6gE} zIb!+gX+W}omLLVBtgSp5NrD{Et@=N90RF&V5oS_$*K@S0>gu?#Lrky$>22zg|)NR|Q5EK4<*YR%1T;oC?TUFPFaamiGT7Z8LT>)lluBUL?==c`-Hi) zQpnnHY+gxC^#7ja&db*`(Glr$^*q}2zASCI8IDiWi%MH;miM_lpXw^+ubwh=Xr}vD zcVP-@gvBLo2KScu82ppG%4`;!IK!#EbjA+bmoKJD{fEovoHu4N11Xr)@Eq17(#fUn zi&rrHXFL2F{fk#WhT`84E?uoPK;R~R5mJz$+nVgEN(sp)Chfdsd*_pmyd5<3bM9;W z3Zs!P9__{NzyAmSZo-17X1`F#hr*g=XXpK1bainDEEC0!zV9qDKI@bdK@b{Tp%5g3 z+Z_R(iPWFbs10JMD248}BE0v$tS_GhvXyYS3#Z=20L?!{k3 zk)Js}ar{$0!nt?5OYM9FtytwUOZIR)Z-@gTo1OnKH9db|7(U|a!`x#}w%wfxEw`7>Hp37=);?dxA3<)eYxN>N+q#{`?f8~nEL8)iRN03y5x)9dwTwJE> zRv2GhjH|~7Q}#UBQDx0JKOZsDW6w1uF;;X8yi~NX9=HFN@QMj6&7v4iwCV%e0YN&; z)Qao6q89T@ZXFrMdM3j_eDlQ;Wc6z}?Bai4fJr4@(&ZRI68zh%_7x2fiH)!Zp$g~x zQnIQCT;p4vdfz8$AIlAKn`i$sQ5^`g$NY&$lR8YQL+Q}h%4vga?h#?o9uw)d@5M^b z(dYiBVcl7d;F9X1EHbZZkG4_L;8>icV4CWYs54xMy;Auj@j^FthBZ=LbW~~QdhW2e z@iLy#BwJhe-gtiz2Z07BXEJvfC-uV@JTiuW%~3^l9^G7|U(^as_MAdO>)7ec49U8E zSp(&UAo-<^-swAgKe6Wd{@l)|?0aP50Bl*6k&$Za<18=A_2{yg8tAs8c2SoGphGfO z8Mvx{8*z;|k4J0fqq{I*Ro~QPm&^Wjnw%N>xFMecnBxJYC=QYfosi}CF|1p=>-f#i z?vpzLpNv|p4NH<5G4J=9$Q>shfWYJA?;f)xF*9v|%?rG<`2C6fw}TcA;o%J%ML(}W z<(Cm0dS*{7FjL(#f|`Do?~;)inyRn1Zh$ku`oER-{qCH*)JSm_EGFU)#ic{Cz}bvH zp2imXn&lXHVlPxNcdHZ!*!FXUpVC&I(ahnxXr?>6g{dYS&v6@{9$lijVv?u){IOnC zPeZzir z|KJu*=)(2^=zh&)CqHY6*mgxq+X~>p z&(KGj^fJ~M@xn#^a!vf^*&Y{O=vl!uaZ?Y#=PbEh4;z! zub|n6WNY#p-FfeuO4suof3SHG<`gu)K#AI-{H1)6VUIdA3iqCF4>=NLCf!fPo4O#Y ze!hKLsX%xRb=_GhJ>05ji!_n6qq0`&lX+v6-+!-;v?mI+tVJr{O+Ng&+GFiaS>%1t zWP_yoBV_BMr!-kOsWwsfMr`Fb^Vw1tDK675V*=&YAph^V{>| zIOl%@$2p_qw^K@s22bAsl|AV}C4r+uCO1inRfOVtIi3|e>Tb2K$?;A>nXP+A=B-if zrMe{{9>Of`iBB45FFUJrLU!Qhd7Rq$V~287RE@TrwOSu`V6V#W7jwf~?7n(@nxQG! zI!X16gh5psub(}}UT)j?YM;(EBfiG9+1IpoK6CN-m*`#D-VqxNAJzWaDL=mb_W{5R zWQU~wuwC9NdpIZP#*LfHm1pIvEs`#HR+H~+H(+}@5N)u`vBA^yO*6AmV5yp1cIabV zz2@*81339VtWc_)s#_Rx){?D$_Em=c?G)Sqmr<%}o^0C0w`$dYNU z5d|UJtmjI#pU?3*81@9WkTz12d&N_o<*&a(V3>z8fhWv zpa~q!QyaUy9YqQr>d8HIHr1|3t#kAz4jbX}xNw z;x+z)<)NM3J|Eq-#vhy_+)yWy7WMeJ?#iFUMesf>_T4+F;}cs))!#U=Vbuj>HQ@zU zGmeJNueZ%Q!t-!$+`}DSCR#Apy~U`vOvn{+Pu<<|dR__FqsBk3N7S9)nOi124i_Fj z-~OV?Yl)TzhiA2g+mj7}d+aNJ;%D83VL$KJblkbJ>bxTgbPOZ=q_}Em?33ctT9XU9(iH_gRt9q>W;1&< z(7qU*RoKtEvxqBz_J64Ea?#EUb!7%hf{T^`>B5pa`$}u!d+XmeHg3z#(zo@E%2idH z6cpZQN54JQs+rjnbPgzOk- z6zZY$tj#(sQ21;?)^1VAy@U^$6*o?#pKwzBA!kj8s$Tfv)-!I*Z$&lIJ4`p`KELbh zl>3AoV@PD%|nKs zYKi)wZn0SRM+b;?K_46|WR?TR%$WukI82ZOJ-Qm-7Giv)tZu8b)`>k8mIR?0I zzxsLT5RZ~bC$Q+~E4clB&hvvY#y9CYP$*lPo78;2j^EILC(7@hjDps}hC#9^ga{SB zQJp{`5ilNM2#>m|qF0*(1kxkd2iPr`KFMs?m9-K6S=DMJj}xLzTM`OCES#L2md-IZ zM){(lj=gV>x$7CXMb~%OcB7WY5m8k*+7d!5t%e{d7;-p6v}%A3@R+wDwr9tNEFBw6 zHui+MyDvheH1_Rl09(gX<)cqgFu*1p5J#{e>Cnfh;u-DMqtK#I4ZFef1kuF`?Y3bX z0y4%mo~_=qJtXTRM&jbTm~Vn}Ag1B*SL@hA0B3==7tx7{Z_)WF*i|c~#==B9D72*r z#qGGO19E?^ySb6yJIdJ9lm{(^;mwWeQPMTL>>W(AMs}k?TMn@8pWAC9Kq$TMB^o|4xXU}&y0U{$=Z!Qmxa%k zICu>eJl>u1GBa?x(InH`n*t(FInB)~bZWCcT{ugF|BI)49@qWwnHXO;s58G>hXyhka#F*As86?R2D7>DXRrpxrTy=v+xAK!c-?^LF*+uiN6!}$3 zpIGHs;GgzuaY>5*DC2plsuPmX$~#Y}S2Fm$^oi2$?(W5f#aJQ1-iJ3y?f1>#xpFe2 zP?rEj-yf@0_Lng`JQ7Qf%F=;151%^`l?zReVK_`J9+O*Bf=dddp}Z@F(Z$N`tqc{SzJPP0<*(LFs%RABXw0_}y?UM!KOV3DC zoxp{S0c(UY#zY^)XGJiixxK%|z3xEG%!x1@fOXwGgsOT~KxVszZlfiWcuM9k(RUzi zUJ1#NXuD5ngZS#ZSASJCUpx~~iw)5&B|0F~lYQ$<79;NgV(m1C8S4ZnN~pApzwEWQ zpl3NVCERf{v>}n3m$qb4)46Vy#$0|z=l1^g?3=0z4D*$>MXmfLtc(^`wXL;za8gfm zf*TKoH>47ZSYOOPP_s(|J3aH-ZnX@l=-IV@aIK92Zd9(L^hek8%@Pr`o88ToHs{5& zAz#xE+tI0h-B9di+leSbGjd0ab$yM+CQ$mAJfND?KIW8{9KI^(ct!(UwCesAnc8JR z-i@%l(j7G}=B`n$C$c5Bx2yRH4Z4kwwAlD&gsQ(;_=||U?J$0?y1ik5$$E5v8M!t% zw1qZRl#}b&8n{inq_sSL8(rRr1YT`3e=fIKLMdyz;xMtJsAG5wcZCi|kIuUZW!veh zumTI`Z!H9sxdQhHzcit%wa=!FFbYPmZnf6tUXI)#B|*j@ zdh5_(mi#K|l_rjL9fy;JInO)o4}ZWEgWFTMDb@Dp@++0`+a5BPGc-(KvX|-mq7n3) zc%05)htqxg(%Gi0Z3hhai75w9ou@^fPs$0VQm%+^_<^~oap?JdLboclnj>-gi>p!% z@lVXD+GP~CahnG0Ze8i%yFEi9Q3D6TJh%wzmpVI;yB z$(CN1dZM_UlahJKP@u|nnC>r8RZ|6@f3zg)k0xP7eq`v}>1Ho=i!7pz$A)h@J{n*|k5u=G{zOU~Q>QluJh!EG2B;RO^rXeGPq4 zPUE@m4-|5uQ!SdY#JrQ){s4+fqNkvBL|l@AC_)2TKMDrXD{1l3b$e1I9&@C$3m+F% zs42YJa((;H{CPu5uAGo~q3MPFOx2FR5noe0HeiKpC*S-sb!q5R)b;Mfl?#Ik%hA?mT1?6 zqvGuJG}w6Ee<`Z!9d4-6IKZ#7$Y@;?6k35G4#HmZo^HHBT?a7QSPf|0Y!2lVcDLla zS|8w^(3+L=yyfe>Z3983O)nWN^>}8_-i=vu3GfA|jl=b#y!rLqwkXDbP2uKdVq`B{ z##;=FT=RsCYWT7k~EhDSO&KCT5LYj$}g zq|6nR{`SJn9%akLuZx#@zX~?vl9<6Zv&bLInFn&qTRaHH~ zX!xzpDQTAe1rooyDLnTh#p~O*w1ca3xAdhO9V-Pv?l;9{p&^A#c-ie1P>OCKh%CvC zKDqd4;rvX;wS`WJ^2ZBjjR@~iLXXa-E)QBmWtR@Tj1J^S_h_i<&4`@%xMSiY#4Tv< zi=Jkg*t%CDaXfadO2^JV3R|pWj1>f<>@e*(lYF=FkEAu%q)J139`L06GVA@r@}XqE zZ0Y=N=wZ0Ti`}Y%<)^pjdM!!N-u0M9Ecc$3Y>8VAfS-))NEB4SuAuk zwuS};4X{(ce~s1jFN|5E$;a({iO4kcs8Vrkc%Ud=(&6ZCg&tup`cG--diSFEe$bqs zV|!eA?z%h4ue;sDPQ|C@cwOkTOa?jAB2N{~K3?e5c(!2AcOAw^Y_Lmlb62v;C=6lu z)_X~^Sf0!C?>hSHr>uxm*Q+9!<8V%DgjLHLq2gjh3#X4L^nwY1p}ddX2};cEVtuYj|vMfmVbEcWa479d*@# z-o~+(OV;{*dSU#au21uD{&Y97Z~uSny?0cU=lVAKqEQkh5UeNy3PuteHb7~k(TD}X zM1u-a6cuTM2n;Zk!A&9<1yr`6AjO~%#i2-(GJv9@;!vdy0}4tXiUSOtb3KE}F6VdF z_kC-fzs@?d)=qX5-g)2WeV)5q_jO;l(#ucjb7*AZ18UmgaYfm6Cq&(6#bI`IPfgc% zIjk4k^g~j|;ugTD50VM*&)#X?bz!ZS&N(0G?4ko771zV3O*iy%cy2!3t*VJ8eQ@r2Wvu>m zKCMlh{g6Exa^uG5(;LyO1BVog|B?IpC*GhTI;yTKHpqQDl#@C6?XDr z%k9|mF1NVh%hGci@MkNw`&)H3o@nU(ZKufpaK78B!aqO9qxlFHP{bG58FN9(wiwNy ze(jw;8^Vh}jz%3w8B1(lEU7`PxTvmbqU_V3G&4|-B=Z(s) zu+}1>?>G`tl7;QQ80%tPm4`f4jf0R`-|falKCMW)lJA(GTmlDQl=Xha(``%rdt7(s zYw|hm&zHmPuTXe*l%yT9<(C3TVs>W?5z;tn)sY&(MkLbQq(D0 z`|CEL+Jwb)j_E+BOS>q#iRJ?VBk5UUNU$w_US z6w(HMn!Zn0>q7{}^M>;OYLNEs7!*fZu%Ec!6RbSV7iyP3rzbCpJeHzSD5K5u!v=mY zW|C+3rh4JccldCIOgm0x!iB)eB35=AvBCW=bIV9|-ok{pgwrSAQo3KHbuK@N?dpYRHesc0GMvhIPybRFidPy}?lW#LQ8xP=rk=L5OCSgU9L1r8s-STs(Ar1@kz`4) z-8`LL1$8DxmNZ6pA<=*N=}|4o+AAWfs(Rn}Poo#1H~MGMt`7ct&R*)ux~QNL^62pD zEP6z8&o(&vvAjIbxUQd4PvS|sCVRH^ys>IKJAnK}HLO@6>-tW&dl5JhJ4MbxFHnP4 zNlr_9yBE$+$qR1_d3ezH4#^2b^PPxdUE#kx^Ovdofx9Ho1*c|g<8=0-%Mi8gm|T|L z{dwI%XKs84GoMrGk+;@Pv@^hG_D^QhaY{~-Y4(0ehMynsLY1UrVkZ%|*SKi0j@#12 z>6}~~t?1O4J$Q^XHZM_aGHU6m5!|&-w&rcX8luqhCfpE6cYrnK{PvG7|10g2$9cWw zD<;k(#U0a4!!v+&%;}BAca$LXCg=qgTRQirk3VAP-Nu;ONR?IhXL^Gm1Bwd5ioY8r zz7r`IW$vZrhym6lzo%qtM@(W#nYlhJBwePBqv8;SUBALQ2W5= zy=Wf#+-_l1mya59slm`~C2c}{$;s2F?n2AX9Px=aT|Nh({*Opag(b;(39p2& zLe2&%QbE2y!xeOVPBwei9}Ll zo&~yrbmNY$HH=B83U-JU0}2K(AsTeZ7bX}tOEhB!Cc%d%8B%zh6`NG5vyq!44S}R8 zyfx{Yz_XFw8K`}a$3+(o8y?QNXAVw-`&*Od!0mzKxo|LAw5W3?~;amWCPuz(hW)2v&j6A z?cpE-S|t)>!08Z_b?30Kq)1orWMp$!*$$dxs0JEl^bVSmIS%+uwlQyh1DV1RR?LYR zOU@uD0-iOyZ4k{0P~SJ&iauEc?!eY@M9?1ByUGt@uQLn1sGBRXSFdb!VR#Sj0=<`*4`sHwLgMAJQfwQ;H$AtS zi#Wx(2o3SJYu9we-0Q(QS>6V94PS-e+uOfQmL!)5Pf`>;hA?RhI7jEi7_zvTVdz^k zz}=}RGg&f_rpU|G)zqvJIT3_ED{BcnmS|kG*gAD)fw+!8U$~Ptuv6uGK$(sFetq4p zhV$p}Wmk4;QY;bQO;T?t`Ceo2&un8)EB=-P!3&@1?{a)Kxc5p#4GgB{izBOVG}<$u zfIwDmHF~9ScSR<%6>*7+<=#y>*8Q($ z7Hq{K^*xjT?Ig&vOt;^c-0a~t6ux;^0u8oVeK}!4h^phyFB#zXPNAzg!g4=FBNl9pOxN-SOj z#eau}xjXc39{@KOZL#4lLu=CE{^8X-p)gBs>WX%!AC8puA}uU~s_lsrcQSR~q~T&B4h{s9O3UH)NpMJfs>5`i81 z8K@xL+8E5TCzvosm?XixGl)nSa!(2g4}W@-4TH)-5t@jg?hM;T$Be|%&87agUdd3g zE<`bhdA%y)u)+z2ly8}5F_Xw zQKVLJ!R=h03iY1aXvaKAw8D;*cetFyA?&q6(1)R$kXO)hX~Hq@%^MRB_(CcN@u@LX zAP~gN4CXkska2msq`v+m%##VbwGgyX->eP zsxE32twFCax+q~+5Rjov@@pG)3Rxm`GXN-1oqgVbH5znb;R#MKHsVy|dV4#w%nE3m zW8EMi00`6i_h40+N~>=V%=5+SFLOX25}CSz21PxWE46rTB&2xm7ek~)FS)I*8(wPd z-~hh4F}9M32Vmn&!^;F?J-Uh7^a{=OzL(I=3Ei}<=n#5_e6|HhTrb}vAIM9u|60Dx zLIhRoYM^*@^#p(6Ge8>HID{LF-8|DVJn`^qC(NP4wvh8M#odzcP>u>-15Bhyt2js8 znDsO-3GpvHh;kGw5LXj@F-~3mk+9I_lL}^KNA7?%R;e@W+auv){_Z2 zx4_*y#hS#w;-#mIYRXg@7i;3h0l#rdpxhW`(#dDE*4?$LklkDHrQkZ--oW; zi^376EnY@|6J{*ObJW>72Vj_I=dFRCd&m~SeIPd0wDLY)TsyNMnUJi`+}L+-ujYw| zAUS)Ms$;}2S}{C%a95p8Xo)O1hJp}gUpSX;YQ+y`z8U!r7ieT46vGR?R9Gk}9 zopIPPVv)2RUQr(4d$$Zc zesO^uI!A5P3JbQF9Dj$%271Q5`QAcQm6hqp)K7k=;MpIDb`H`IId!#*PFxUrAJf>ShD`?2xHy$p)jWXmrLr9MHf z6E?_wxbH;o6si>vACxUE99g@Tjb$h(My`5sJ<$$SRt9bizL-8N4JQV~cCwmDsTSCK zkHEU6HvHNm{Rx2@A)r}Uux#RX=tcMb)($&+NXZs=(>Jql{cnxlE;Y@~&EJJP{|RYg z+zA8-&D%~m)S)A0`hgfrT9X&X(MAzQf<3g5c!~iOBs_2=X zD~5VLR>^z=h0iiNKjd_m~liW z;_l*|<9>}tMCI1hx$DGlU#e5s7wsZ9PN*G2UDC};x=fc3d5EZB{d)a^Vmo2$NE8hc zL$CHEMhh@`IKf3xb$FnHcGNmaE`*@;!iy~Y5*D3Qw~(ElpMn>I9RajdZ8|jZ7)2~3 zV=}+I=#l>rtew~7eQ0EdW;{gQ4c^?8d}qIHT9Wk(YC~kUTM_y`iB2-2?;Z~haMP5d z-RrFM5a0|HYz4$UJtj5X#G!P#7XZ>mlzR~IL3i&$5t&Af02GI5ru8LUomAiPACDnu zpjO)mBy+QK44@@A2y8K32Na4)eC(Z%-c}sf^tM6-$4H#MMHqOe7b%5r|1ohST_-qEI{yOPN9sDo zK!lb{+z!#s8xxKDY12;z|LA2iGz?e_$B2jsVDuGg$n@r(#-n*a1kq+fNGS-Nbhp^| zSR0tJje~U~an`%X92HDSwT&N=4xOGeL8 zCwN!V{(mTQtw(qqrzjMelpv?Hrzreutu;PkF%1(!1ah-SK@ooW&7zqF{hy;tXm=_9 z2i+J4fBN&km2!%I^#5p3&i{Ye{~dwcf9p{Be;XzE|H>=-w~17Zw4eW&y!vzRo!yEF zJf6UKW03CVp{L*Nleq2?l974&=tBpoZ)6fYeFyWRj{iBQZ_B&qmv0W*ij;L1=lrlS zE8xN{>KAWW`3P#=HQl<)3X*d}H!(gfoqPBB4_7boDK<=)>i zUcY5Mdhl|zuvGG!>^+gf+e*QP>RsEKggP=}`QVtjh&&Ap4TrMPM~zQ=04x^s6flxA zXU?3owOze?_wJMD&u@y0k4Nr@v6P(kj>Q#Q1h(A5^X77Tel89@hoMxdPW~Pcs@b8G zqxNINVE9W%M|-l?)&}j!(|{DCfsv6LhY!Dwv}PkTjzU60*uqWf>ZDYR94N=fAclrm z!ZHj1qTG@tmo{6MJVOsSk(NX?ktit=4Ks9De)w<-@v3=P_P5q0w>$Rf+t!xMEws9t z$c;=?7c;R)1MjI*M7s+(A(&Y*6RemlvviX{FTJMv49Hz(9q*|ynoDh`eHzIU75zgX zH(-~F#0HVnk)4z1o`)ue)VWNWy^R-exr zFZ1-#W<9Fw-rO~Vvg{ifZy2+B!jSruo|T-OeC^dK6Ymm(Rh2gwVWFWK*H_ltXGHEE6G@$wQ(=a`q>-Q5{Oc6tG2 z>~ECXbrBMF|ATv{lA*N((Y9&iE&djGIwxPfD{a5M-+&9zt4-F2XnhI{TrN$uqcBv;{ER+uFC}<}n950msSL*=MjPB4k$D zYkEnJR=z}jf#ziGRR=0>-o6bjG1p{F4mdaH9X!RL-u2wU225H=*yRTu;;K~wmE@kzRc%K&i9?%Tu-)3 zEsAg0o7Y#`bahm=hNN@Lqd3O6DLkbD?X-?PUJZH2%d6&~Rbc7e(z`jwx|T;S9$Hk> z+Jg9U*RG=27uILaC@WuV%`Gs8aIvofjtbft0s^+Wb{;l$FgS1^-CR?98wVZQ07fB< z)Bb1VU;9_`zA;jt%H`gx_*@goj@;zT#~RTO%g^czG%?g?4x=mA<@o$EQ+Vdu9SB(m zv-$ByHIr0wA;0f*Ad)D~f44x(N7?PKbGzfgLNp(2*%Q6jEwy@wmRk3^M6Rlx-r;i{ z759SbZD#is1u1l;t&Ax`h@0%EVN{nk@)cj;p0=~HqcT}Qkl%!=>_-H9a0-gsgLy&X*N!ZEZYy8yOH4;IFianoXpG8D*`8yK;<% z^s+6S&Eoi>rEN;gpR?u{x|qwYhjo+wnGItWzhl%OJ0e}W!sCRalY`zdXERZNWU5+5 z&P4z)n8&TzbXQeeZA=3kn zuHC&Vq@%t&aJwT6)9i*=rPmo_?}?iFqRT{It!uFQ@J^S+2+cDZw7MLgLI`RVfO=z9 zLp0?>g%ydAC(6FC0cRHV>e%|qEegMPRE$2so18do7h6swnQlf!1>L`YpO^&v3*YR( ze>a<|HNf!H!Ak3jwmR`f?Eb>L5e=b9+_qbhk%8#H^v@$OhpJJO*O?{_!Y_SrDG^5(XDC()l}RY693i zyj5Y@m^vO7^G9y$d21o3MqL0K-;sT*3d}V0b?Xf3oZfURkt>~C^L0gfU6%nld?nj085iAEYaSmtu2ooPx2SyMu~g))5J0!zJ7Ksqy!X4vm@mtB6zg|!@V@G z0>ytC9?jHJ=b=nPiYaHiR#nkEo_o|KZaJWobM4^zu;|*XaJ*ee#=f|<+1jMiPdz@o z+tvEbn5*aP_x1MmbT;=|+hR3yubwHTO}7k=L%S7`i4`=cl@%?HNK@}@20XMizl*-( zKOz*yEK4vO&E;?YuD2%O$zu&|)F@7#IkT$d_BLTzdik_1PMp$Lzx6&}NYK(ckV-ojn{KP&q<7 zgCW`NBSD$|QOZ*o&CM}|F%L8B5Hg~1Aa7zZ#EkgKOU3iZfOoK`th(Z67Cu=D3(;LJ z1(eX$G^%GeLVN2H+9zi9@#U1S4~=M7z1+Jcbc^PFj@AF{8xB^rafOcD&FIH zDd#U96-<;n4%+{cZx&Jd>7fYc@|3EU1?FYt&y|wFX`^@zS#tkOe}~NoSQyA=djt)_h~6}QMQqn$ z!Cjp6YLn9wbj{LY2Essp`Y@5+MJyF6Vhv0@_Rz}ZH&4{(`Q&LRrAL~C!2P-Xs1e~{ zHf0l@5$7yPxi9i=bpZ>aw;n;VRnhF;xHHTyRh~pF zhz0NEu2eL{Du%&D;E96@Uoh z%tKeYS3E?VM~0+D4O<>bIl84~snl1*0(K7AjO&Y<*y-_1xr~CpX2a z2qwWa@=0WSAJlnZ+3IfG=ON5UYk@|-j5o)_Bu7x|rLsafBRzDPV98xO=c~5fCOlwF zlR*k|DLF4VEyur|R{fn)?Z+1<>bo)P59Jjl*%Y>?6}P-Sxa9o#);G5jt0lY90bW3L z4w;<8sPI3#ed&zl8g6Tq1br?$;afEu-K~zqsV}=LtO(*7ErC$(P+&HOe(DYkB1h17 z?f04v5sa(?cZzL`WZ~a|Q5yEaxv$64>n@#f2a1y^Xj**BU=`8nIQU&!URYd*)qVxa z517gZUqv%bM$Vyf-RwoTRr}pu#75@pM<+Jo8)vzVy&`%)i`O4_Z%#X;ed1urer-65 z?-qEWyjD-|Di>wR`)E6Uej()%t0Uh^QBs=TjZZfG9Z~V_m1@^s9Kj-B^WkEc(}-X` zCvxAtPX`0?Jnql5?Cb7zm7we`;t!P{n@e}osUPV&W&4mD8LnR=+jAJ}fMldPBqca# z`MO1yjk>o+>Uw4jPVCsGCU|`A{nMQmZl4-Aef-cPkGGL&$DN)QgJ(r{Q6J7eS?2fv zdWZV(62s%;A4tq-AEwu9Dc@?BI-e`?ZKTdOkFwZ^0+?6Pp5VUqi`f9pEGb>Bh5Y60 zSz&QD2x&xBZ#mriq1g&OI`tRYtIrm9baW)9Rl2}EBgG5Wo!|$>>zd_kJF4_gyeS+o z|Gb`4`^LGwLUaC}zYHwmOISzP*sS#pu{EQ{IwrB(6)5+m-i!SaYx zf=PLu?C6Luse+JpA*0E>SGc>IP6AhAz}j##d99_D?52egEXQNnQnSNkab#M{@3$L9 z>v7l>Kb$XU*x=-uoXpi>DN%LSNU# z>!G!R3{{J`N%AtuBdh5ZZ3;tuW*GFBnCF$|w}-2jAeHIe_7_I@hpC`w2!+e_%A%&+%vy*Ko^Dp+1Y1hRWZb%Cx}^S{rT> z3-+PB+*6k4xeq~R5q-B#$E(-B{Whyo&9%I>paa8dd5!raj-e}Gg*x_uw21JPglDz& zCnx?`+;%U^0ve8hCI+41<|~=}l8^@6^e?ESAq*=^udmJC!7T0B&F1E7BVNehId&HP zw2In3Ro7|A8Jf9RblLL8EcfeYvOW1wkjn@nUY&}1Y=-O`VYun(UJtkswsTbR$BcAG@RbCZ0-TXXsB2a=uZ%_fMDE~^ z&t4#u$;|DgM~4Ll^0#U3y`EOz7z92Hog}@DJeQi~9Ba3PYV7~OfLatz8>=^l!{P8; zXHcI0SVu9|Vq4L6dd=((-7y_(X0&E7w7GVvc-e*GGqx8k9Is(jzHvD=W9s z;ukMMN)Kd4t2T^pc8K5kI4dKP`R)Q+{;sH-US;y#0s^TF_4;!)Q5LNmno^~FImA|r zQ5XmNcHtvezkw+4P%cehRe~wJ({Gqm+FDxQQ`okB3izhfRj%fYa8|~r3$7eb{ELbN*XsyByO)%DTU>*Gy*qTy!_Y@EIeh%23rRv!pnrlYd{eDMH~j z`?d(Hr+2sp4H8G}?s(%1`D~NaI)E?7%+2W&J+^JSbE)oi*m&Hww#jXwdTOQ{_w?4O zdbk+-873uhWmt}Gq1R#Q0_`=rmin)N2!`A@5%EWu1Er~YZ`I?u4nFQV09g*v9%@9_ zivIbb#D=ky08aWR=!&{2d}(294d}}#b=|ek+xrXt12ie} zzl^s(H3bSEc}xj%{p$gwR3O@U7~u?POGcL?;MB12PIF9qV_Ti@+tFE5v6@MNI+7$& zaN7z{gJ;ztd}QX=7lpYvwtTDA3+BjUUhjRG%Uf8XBu(o%;4tVOp){lPOlm17J{{K& z*Zp?yy#4bFz9G?2fIiJ$Z}h~*uwn;bae>%k)sn?4_eRz3s2ksP`p!YJ-RQFvsxR<7 zxXzI)U!kO7<9ZNjST=&`x1(-2+zyh4DA_{|8P-M1JpaCpaDJ=lL~5j+t!Bx7;nrIQ zajx|6$Om-Z_<+-@kUHc*@&vad|HBa(bgQ=LW|23<6_v+os)ozd*+(&}2EV54Z|L>* z^^Ig@7GY=Sj85q0c!UpeSy67Z&T@xL&o|uE`&@*JNO~N=)eFQ)#1fm-xC<{(GJ%EX zmej#nd`XR(!vvt;)x0g;U0BE!Cf_z%$KB>_p?!KVVj3#q3@ zgg6%hYDb^g<7t8cX<%M~^f=fH$OC7S5YyH!LfSi!{l={3vhZj8hcd=*xuo;sKr#`R z#F?n7RhJ5LMc+-FzS@|Y^9%A2r}s~PBZA1d3B;$$%E+ZorPjF%xtbG(5>$pkwA*96 z*)c11yxN6iX$~Ny!+I|O?+Wv+E40)A+t>|yI%gfnLGSwc!g`e4r2<~PdPNLp`jq!h zH`LEi>Vtnx+7J0^-Tl#v85i}`DEp?fNpq=pBTEBc?9`m6!ki@5lCrj0zC%Z6;$lbVN;5$71@mPQ-UMeo*e^qCz0GTv zjOJ2hiYjFiqo~$a|HDrKgfGAzV#vG}4)H`=yKu&KPq+f_5|eYupkbn`3Hh7i5wyvB zhUuwwOL?19XK}+ZrN=&h2Qt{{-><~)Ta(`(dw4;*tSv4s4(~M$%w>o6oQs@F^Io!>`BZ9;RQp=%Q^rzrGO8ecwHJoPER+jWW52J)pb7GGOMAMq_Y zNG`lf$2}yk@9A9K#M!?5^XPYX@3?dE7gD-eRTdWzzG2ZP z&fFZ!o#Arv2j@9Ci_P7iaKG@?J=K)w&8|_)?Sm4PZ{Dfb4qDhE6g7}=qFX3k^XmZa zg?!3Z;YIsia2@V@KWsGBK}$C$4^3@X#p^97SgN29sOI&4?(|YnzAH}5`Fl{x>1D&d#pNp7UC;xRR zf(MH~yZ%pjxx2(+JSEU_X+JnV#+vFiO%nI`$IQo9SXv5rnQDj{`Ql{<@;wi6)AYCa zZkU1lvdnaB3Tm2~06H4bG{J8Q{Gaa}m^@_OBAZ4OKHsGRtTg3WjfybQdM2zT^RO8O z>z81u@MlHse=g)=TL_%gF8Ra*!XWozl!apc@f^mwM6;YlP{ZhT-9`<(eD-YDGF|4D zAVuA!W1_C5Sa+jV^Lc)IqBA#_$lNyWJ8=oQbsQu7e@i*Njg)WXdh zH_Adj{ts0(iJ@fdDuOhE%>CkHaafBaZTNybMgSM=Y}kMDAYhl0FNUdtvK%}>LZNUo zO}JT0hr)CUkZ@Y8eOj$go;;~6zDe|ac$&?_hLXfD%C!rLA)=%> zhGIFmxNI@UG|A5gXONtt7@5am&yvg99D?=FP}q&_Wp~6Q@0b%?Y7)&ZU%K>_(cGDR zyT(Ml!MNYY41tNbhDUz02w!)zT}Y31)1x*d4+(gS^FOW0|MbRzOsOHtBlA@ayA6M$ zr0#-{_(C<>YaSL%^C?O;LmNcb<#vze@>--MsGaPrjM57;C7H*+q9z`Wcs>mW^EEj$ zE9}{ZiZ(v6hPW*NB#8Mj%?Jc65Rg;E-y!?{)jlff{)p!vBc538+6eOe9YT7rc=MA@ zmf6T$qpVD1ob)zscU-z;NgewUCAZzj2-`8DLuG@(@lsw(|B~s=N&PR2@UkiSHL%s5 zHFsa$KR{6rH1_V=aagq@a8FHd8fR*B6vG3R?rAD--dG+;#5XMWYYA#JzHPB`Qr_0^ z+wYXGA)r0qsNt0yS&NYu(J#2#qIx>!vPZCM^36tQR_~`moC|S~e9g)OeH<$9qGr|O;~iKZ;=aO*P)??t2@>hnFORqH@($IxwL!z2y%&IeHu0bP**wF02;!QQCI z5xz{3ATt5QTXEVXi((ZUEwu7pg6(6Jqgzp72>yc zYQXO?*w2*La~EM)m91+rPh?6~tDuog8_nnr8Q48;p~R}cK~rKU4vrRG@W)g+d3FuZ zqO%Esh$uAm_{1Xu118@cn%SE_@1JcR)J^A#_aTZQE-8BxYrcdmR4C%nY7rb6?QA+RBz%}pw zoT((Ml-^F}m7e^Zdl|d+cPk6)RDKxH{S%d`X~YXuV$;gdc$@5x_sj2?l6NUG#QKPk_(q_XH6;22lpdHs7Cev|&g}YT__iitWVfUo_74iBHnM;#T;?Ptw%xm;6ta zd%K&ahV>&z3#xz3)M{yk+Qt6T-8{j(CEH0?J0Uz6C-CN!fi_SdKBQ28V_IR`ROty{ z>H&!IN9=Gw2_n1q`nujqqrsWffS>BR{TXH$d?4w&W94>9-xVTQu>QGfoU*P>4C2(l zhY)2;T{Hm71n&5Bvw21R8)O9}mgr9b-4e`ff@@n91(Bh;C?u1r1Oi<8w%hiJEseJ? z=50&&!t+&Rmvg^=Bpk+ftRk;`uy@@ z(?N8)Bflf6_T*iy+}q66Y`TIFWL;#)iMMCBm?UK~9qi4|SmqQj&^Z8X5Bx@?ZM^y< zi%v|JlC`K7P({9i!s_V=PU|Tgb;_}jUWx;j;9#`nJz}ZPNIfO z`5r(82I&*w4*(5$`wIOF3Pw$693dQdm{<@XX#;M6Y@DF|+jg-Q>w;jNAj3{P95Uop z7!(n9#cAeka=-qYsT4GbjpONIS2t;}E9is@! z3Z(6%|8Z9OX@Gm*xnTh6&9y03Y|qsMjEDUMW?|HrBX?LF67n%?W3noL^aw&x(bQxU zt9d~W{~TiM_(^`A_gHgTTzXY>x}d%N>@q#C$7~0*wOCnMwOrx_UAgjXc-Y;Phw*YM z2rQ=FYOPwes=j^*#9yc0Mot^OCJE(I!X7w&yrE(!GU!(fE+*Bi8~Z+9sw_}jw@!D# zLDW+8QZB-KZDn*HB_toC?tg*;4dcL~*G6;Cm|kfA@Zp2A-|Lep!*5j|AekhDARzCA z`vHQ@{L(5EIJ?>qL0k%ul;{FUKdScCZR|em5MpAmGac-*Cr*^x_~vdapo8~&66Mfr zc2~X<*&d5kuNVH{=qr&jqG$lNA*%SoOEYJ~NldqcA;*q#r}(;J<0|L?E!MD_`_szwbAFR$@Ck~8wgKdKc$98U>bF#fl(iM#M^yKN8& zSSLD|W6BH;j{VqCFnckL7m$J;hHZ&k??CI)O(|3d`WU`%?3mFO=$Jgm+J<&%!#_Fu zl@QE4Z({EXCNK!VHJ{y6L;33nYl=9S=usg79`SDT1%sW@@x}=b9v{4k9B5HxaOV8w zj(TB{v&jKLeQfBh-~cC42_`NB7%Hjj|8S?T!BZBk8z_vd+o9o$Fofz0fWl8$arzJM zt!MGzMH~)T@LjO^5fQ*$ZO$w{wTT_B`1K&@94J=7OYlr6d5t>r#yxnGBhgbMo8wP6 zb)&@I^eJO%sA-aCZCIRFmp@rE#VqFKL668N@~QVhoPW^B*y>r)Z|gd?JT`-`M@2?9 z<(^G$xVldE?on)E%&O3tmlru07yZj2_*7z4oNb30PkXG{VT%3d9yf90vobgTz$&xX zn~HqMfrV7wd%bN^-qkb{o0{@vV7J^?w_8z&wqB}l8ShxCXM6@fm+qmN$hP7IAxZ!oXFtV&?L1U>icvA{C zVUk)NS0T{QTbn;->?+*x4VJ9-cSL}20G_S(zX|Yk3Z>`wh)83=J2K7(PN}+{A8Z2V zSL=e7($sBVvZ~t!ajj|15&G{n^po`mYW`^nX_P?-y=6SD_8IjU{V8e22MqeY5igka zj@oW?uPOMbh2YOiehGH{mHh+9pdq3Msd^MmTVUD1Q6>!~a1O*rJoEF!OfQf9BDk2{ zpq>zC0(69K!}x*W52s2+!O!dl-`w@AhS3pz;P-_QJKR@=*o=ME!mSJxG52-hb-;R) zkqD?@HF^oTfY1n;1Hl5i6m7f<&j|C~Qe!7|A~NmTm^OOJ<$-n5%%5n~b})=e^GC7* zw7V44oi`~r2Kx0ErrYoGy0hkNEA>Oj+Qe;BJ)SMlZGXO~B48t@AW zB7@N@;u}?t;AUuThq=6SHRtF1_BL;aja{-snKZ>uKMhAFP_bzi;4E8CW2btW zM-F2$5W%s2>U#U?%kUCFNnQ%IyJYi6)Rco*iGnkFljgeSqb0X$-Gr)UYo&dCuzBz{ zGtaC(j+x~skm8t5AMge+$Cv|k>TnPC4tX$ynBq z2B3isg3X&YeJT?X*391P-AshH!P_RY0>bL23>bE zPHevgbrfxnspt_8BLDO1sy8{W~*EuweXVu^Ohb|&;Qus&{khV9F zNI+eXp^f+5$>(_m_M9QHcp0cEBqsRu>Cv~(hkVNcZ~=Z=yZ5^B(Hbe8#fuhYY*DBY z+DAP|$jTTnwl`mlg7srw*J-pjV|mc#5?L~7qjDuj{c9ghXsM76tDwn_-R_FAZ1oxd znrR3TC0v~I1-3!USdGzf2(oksd&z#IC~-|3`PQ#(o+Mxdu+-Za=*Sx5^$Q$X+Gu6w zb)A7CMn;5uI)>Qg1gcPiJbaOYmH5p5d>G6?mfnU;tHZ*qJFBgTQ+^wRl zczkiGseUd%$lc?j;xBu4B*9+$a_&IQax_^ALUANX!z{l1e))V^@jsy5)9JcRD!FZz zTZI1arJzW;4s?NEIj4d0%9VI1j@O?Ai?#|pza~#UG%so~kEK%p7 z39*Zb;I*_NW2ASoeNg!4mIImUDnF<){vcUddj|ef_qzh!t52Yw5Bw;h%GPvg7XS96 z39uebmri6?8UB2IB|E)PI5NIj6am+dwpW@Hw~yc+=Z9m0w~nj8w# zwVOa2)B=F}>4MgbDD}ZQp;nyMA2LAdK`9BujJLPWP~{}AoD@Wu%Rl^tbaR!eD#%dT zYbv`OKeqm$*+qF}%r2>lwY!CG8Dy#0W$-?#8K?z7gX&(@3y@7x13`Tw z463fNr2I)Hx*2KxHzVR7(qQ0l`in+oevCn)vc9#muWK|s{g{ki}&5M_d3#llG@QmUKyFFbU{%TuE*ae z2=)LB$KVMmY&}@a7F1+OmH>vZqe3qnh)ke+bVLNYlu;HT-vPPC(OaO8!)@rfyn**6 z0q3q=&^Ax2x6xbPcbA2k>*$%Wj*35#jtgP6Acs?9vIdzR3L2OxJ>1Zx+WcguG7=GF z7a8imFtKugA_9iHj?D_6;_E!}Vlam8uW;8S{6fa0`=L9qlt}GroB0IZJj*G&R90nyZ#u)^(m5eL6MRAKzc~ zdTI&l;5ZK%+}CYW@??Ode$X4kFQW_)}!icWd=?-}*f6f6p4vboykP^xQvx zMAhk2{-~$f+GJhN_j*+KMZ>Y#(RVeQ*E9`RKK5v9ls=rPsj!r{xHoU``POU8dR)JU z7W<0H)`uQk$?;$X?L`RuAg~!4I_deAF#FGEDMWZ2h<5Y5f>TaDzU%R8L2gZ>C+~K- zG0k3=0g4!1r4#JF!IPI7I&9Sk&`kV;G5ZZy`j4&do0Xw2b`8L;pAr4$YCG{?w@({L zBrp9Kn7}3_B7D-&jcp!Qu!^8)_{hzmDbRxa5-{;N$fde$xIf^-4f;R7C~)3VCAWmCWWA3vX5P(JcG1uh~A|^s}3OKWecs2HyZP0$JCZ(|rs6dYXBe ztESF8+pmC-I=LutC|mrD_(!|s=bxbd16oy|Udb2-$)w32pB3qA*_|49-}Pyq+ngDc z7MZbtkFP_vTl;1ws}{@Lfym9WO&!UQk;7=Z<+~)O!O+>&wY5iKoH9w(q=25~`QhX6 zzTEj!1DY%iL&aXpFGf2hWt&FX0fWE5kqk(Py@~X)t>2&yl3ydPOw`8uEQk&?En;nJ zzPFfZHis(vHkL!iGl)N<7eIh1D9Co}HAi?SMg>zGoAO8<2%m!G)6ojD(EiNH>ZafS z-uRsvkju#VWf3*=W$#z`$>mQM^iTy?r*|hTRtux(Aa&T2mLTR z9i}EF=l3+^dFK?}pvp?a^Hsz1HSycNoV~t=M_?gH)(^u>T2`j1$q3DAyDF&KmfiaL zRwxCaz){`xGu3YO8MX&*4x|Dnr=YF2J=futIT?fJo|Mnl;U|*ZXSD$oJS>(MDG+Op(XGn3VDEz*N1tw zGT<&3{xNgAT6a@E&D>|?Be|pTK7ZPlc?!M(?i)Uh`_slxkRlEK@^n`;b^!IhhjIYg z1^W-yo4w5#A?_jx2Uy!SyN62tg&fG>$#R-4$0rnp4EK?b;)=@-uU^k4R5>n@0^qW( z=a!Sz#I2$Mn4h;;)Y}+j3JmP!gtzwOW-8eeZU4=9hfb)ykx~e`1+*k22*&X$nB(xsFPAOX_DZMNJlbt<_c}6HGH4V$NRKz7I)L4u#5efy3h8(4Y z8v1jNourk0^eZNHu?l6R+gqKKQKqu}unku(YhEwm0H@i(6~ zzX&Pc(D23Q@|XNJ!*CHq+TDPKbpG56fv9Yl!kd2m87`#eeXx~=c z?=}G2C?$)7UuMq`T#fS6c4sQP6HnX!M3PKJZ_^WHIry)@Z#%s!xZt0kImH-1D=@#( zL;J>GTA|Z~jceiQ5w|(m%zlq65H9zL6Yp;w$`0Fi59D?pkU}b|4eF`=m-B}alA_P| z%!CQ~EvDLp&$Ch6qy#y|mLiqwN0?@_JOil63{bVu_DRqjT#q!sz_y`h*NTV6fPerr zW#^c!BEMe{b$$eBC>)bRFYBD^IzvW^Vy$yUufCViS=O!E)9h8BoP6+bz2pxrj6hr$ z*bfjllHFh>aVCI^<6`Xel8E;sP(W1Mk17w$w5`63?qj~ih-TB}sd2}8$F{Z>&whUu z*#tYy7WXh)Ki$*bgFD3lYT(lm+Z6hi}h_p-R zW`#FO3ShbXA#SI5)I(k=RUmxmQ&!$n`;3p*%@Eon^K zi(uN#sA1FmDi2eu7N<`)j;LH;Tu*No1ZNp>%QTdRrLE}#Y`lWW&jCB298iiuCCi6sRj8lsyQPm>E-c=8}a|L1Z4b4KjtFS6GDw>4pV;XDL*@V z`?ZtrY2*Iv8vffr`4z8*kKW#6;4MkVAn*o{CM;a)T|H3q^J zWSSEYBCG{WDrrJmALf>2g2RjoXS32&3#*|@BcwlND=yRM)0?A^`EO`(*`3yIYwnT~ zgyjgL!OmOwpbg!ChgajVvzgr}W8f4J5?JRH2&SLQO6_ekq;A@2_P*#3_-?X>wz$Zr z$I9{??DGZ`qx5o!f6IscY6Ix~j4A!HtS$prBvEvfZq7$<;LzB} zz;m2HAyJ4lk@4lU5VJGUOO&k1EN(dk1;M@?F@{RD&*a+h)DZi=l}w3{p-(ry1t91Z z*B@o*z#)y@r_wS2ecaad)Bs9>RvOZtqF)5h9V5zi4!foMQQVqUJEY~v{aye)ry9E% zmX6ubr9on{iP#xUx=RLKfhuDWblrL*PbUy<`kk*+R20`54Xx$o_rBN&$3^-Ud7*JO zrehA8gyLZ7NYX{cDvn1EaxNE_hSoQBrnhw0LAUEnDqFn{^drt`R0MF!2(S!;4Hx(f z?$>Vbce8`3NQa2@L2rv`eSBS$L1mi2KVL;zTwIcg zJKOYoE2A26BEFmz=!63Fjh_`ml(tw@0(VbW7l^F`S^-9ARE6^TLe=)qq&p z<&&3j{n=<6zEGzIMIz=dA@}$ax)_R(?DB#CLhr3k+A3gW zln(d)p?H*7v_k4yZ&hSyF~@(3&`)wq4?I&wCu9{lI*Q2y11t#KO4G_q#1*3e}cLQDy7P_v$myg`_<_B zsr_Tf?z%6HA&Mv@I0=H`E6YjqFQgas;3Qc!mTk*xl+z#W9|VEoHp&1nLr2aWhnfY<5NX>)cw|~vCq&+l`j#xNpcC;W`qcSPXFn*uA@U?ZViH_A`~j8GWjCI#pxB8N;YxT1<`B zWO_?ciodq~#bMC075hcE-H24qdoJ@8V1&a)U0nrKosjHePCOa*nV^0<3F|GNigJ$n5YTg|vw-J#g zb5B9K!h7O(@%MIr1m&9sUjLO?HXf zuS{_XukUEny(KS=V65;3=shU^bU01So_UD8`zQo!0|Hu#f{V~18@y%)#lWCajOhS= zNOEV-p9@=mYKzd1rMIFCJySN1%$pm&m(RP zgY*L+Tq(fOLW^IH-X||-Q*l*YFCw$c|EE4ArEco+X1y=kCJ4&_L(mSzTZ4ozD{HhY zvZRL)zwlzegR=zTGRT1E)A{y(br(BmxHi`;bN5r6z6sKH5C2(yBLfue*7{a4ZrM-x z{U6;43zJ+x4t5abGKM`@$k-i|ggJ1(_JNFa@t5#8(;g-J#&{yNhK^-BZ`W*0ipQ@= z{W|TwO1~~eLag64OGDp})IDv+S{Ga{UHT)iBdJ6rwP5oW^MH#XapCoZp)d!->jXxM zgYh0saq{n*2j9|+cV)WN!v{cPP!RO%FgOaeUDNu!B{7;JJj6wSfP~kHtB|T*wi&Du z`prn|9;(pxcGV9NG2j_MVLde=ROE@VtNL`rRU5-Uq3++3wP6gWI)0#oY1TK-aQ%iqYe9+he2x~2EhmEhdS>* znfv{`X?P3%%gAB#-s^-Ay!yr;0Og$pPjIAUWuXk1l`c_sYr>8e;MQWWY_ghNf($rV zj@Ia*O&PVEi0o;P72XshjNcLp>DslVtpclnV}znHnlMOT>l!K=8w*e=VioO!+js<| z0Duz-U*JJ{|{BSL_K=#7SJn zf=9#w7ek!i%S|`C-i(OYJi5#>j2}K8A**&weo_0OS8HS~#+IM-POrHk6}-Zy-3Aaa z&T6z=RE@2AWtND@W5^vPiaZ})`nmQ(B?*MTKg3@O1Bx6XGrhO6dg&XnAShl41R5?Q z>D9|*lVk?L6n1E}NgLO-oOi6|8}ONzdz?Ny(<0j%@dxREcqzPh?^_9Gus8$v%?m01 zh>23MT>|6PH>$Hg^6ozmM0oNiC1yXAtZm=#I`Z13Tm1@9spcNc^!}jH4*Z{vyiivq8e2Zm0cA z+~wv|!WTuleHj(u|Ag3(bP{D#vSslpxVqstGBlHX{{Cu8Sq#2VIlvE=Z99*w{@<37 z>RSl}5uCcppX84uHU@;4J&;6e9jOcB(|yyZLcafo!$&V~G0S>obNhD4Uw zW*guTFHExs!O%>FvBaGee7b6qiok>gI9kw0hMkhnIE|2KL5f8@a@y|B<}$+lBx&fi zYu5;*l2p7z?yu(=X8kvwL%6R)*(+-^2nSY%HC#x5p4{WHtNWmuvYuYWF%>aPl6~kKis%cV zP$sRUw~RGj#G2;1Tb^yu9=P>5#c2a6!UpuZ0P*__5pOv7d53S`wW~q*(|NCN8!xd& zBWUuf!EPI7cn|soI8GQp8+`!o`i0M6EM@XvKxwzu<=W? zERHJh-As7iXNj&d2~BY8D^7gz7uEdVj_3bU0s1edIibU&y8E9Tc`dKub3|A8UmW>A z7m+W+=ik0#+5`|K+fvq~5F4qDHQBaNPp`4%cSTWor%92+%Fhg4Tk)^DFZ#>eHxufN zY0}u{}q(H%C)CvChMr^_?{Yh-VD7f_D9N~Pa5Obo9It%$>&5A+o z>CNw}K&(LRis=*PL_=JqC)7^>P#LbHtAUXVp?V*oTvy}g^Krjdm9)H2%<;y1WucY8gPz>pkLPtHKm&~VXBu_YT|V-}eT1txBr<5U&&aoZ$=mxhSoqAP{)JMR&k-0T*R&%g z*yrP^6pf9N`i+#>!X_noA>^_%RmmJsnyjYQbn8NU-Q@g*RSQ0*Mab-Q8qMVu(j$LU zR+g`eX$$+U&)g5P+tgbq_mv)vH7qGyURBM}%(bWu?~CR1-#glITz(GM!uWJw34PVA z#80_n%DxzSR8;fdgw|n_6GN`D$vB^`Nz(hTl6A^sENONN@p{=N%4%wDt|VfUJtt@s zK$qOv*`C#xbK&%>ypQ0-@`HSJ+Ta_9MDc})XvDBgP>qtRVsU0(?EDYMS4fp z=|1y^$)WD!1hf`%5Xr@L#qlSp0GpK665LXZX@^Tm2Ab^h^&u30Sy--=DK4#}{)O;T zmIh@$_>MuA6?A(Q%Ux3<2$cN!4|{9asG`jto-LRO|FdS^Y=X~#%(Ve=3FM2Apbr{5{5f}qdZIB-2dgBXBQI1 zC)Z43Xne$&8R$WrC~cO`@KZ>ij>EupOq^-_Ip^Jr393n4pFWg?=_+oo(@7gpn_as`fi~oQ>*hMJ}-#xRGqb zfGtXxW-CcQ^po<6JtPCn*XTBTV3vWjfI0c-ptGZP=j*qYgNkk9eZL20Rz9kQUlodX zmC<;N2Xl;30FCa`8A@Kyw*dUD=;WvLN3reEY0n@1j1Lpn+m7a)lu`0rLSg9&?l&pR z()TrCtP1wvhbjoZ10}BtsL&FLE^NE4u=r1W{ha*8>6RcR-E)jgeLgoUq;ZYZ%|A)txr{_9fyblWx^&?++cgg zB2cZ#k~Orb@rKlw?T}#VqK@bdUIZY*yi<*n6>l7&pd3KFch9~W({c;n`_1-v)3EnN zbNLNXHRP1Q@g(73!ni??QxF9-;3MLtt#1(mCrGb~7Nxb@yeoPnL}{n^h;JMhWl5(=b)8&ZmOwv3O}fS|rp`g^ zB1i*3i7O4J?NXp+Er!37$VNDkh%&*#Qm1PFy2+ac6PX$T;!1w&pYb5;o2$>cmU^2o=nJ(4Dg0fh~x(>h3U$Nz@teT z40xfMYd^A6Ok;@L1~*EJrBf$QmUc=9jdQ7_HbSaEvtnXJEk2IPa2V*>uS59#fSLh% z6D|;vWlx{JIB%noyT1$VKxw$Xdu`<4Mbf+;|4BopRN_<0D6z|)exfi1Y1t*s-~f;f zhO~SVZ)-zodlcOP1Wx!K2)ZG-zbKgrh!|n^j+8@|=mb*IgJDd(0o(;JGs^S0!K{p) zjF15EoCsaCLELthf=F+4e@3jilN){UDAP#oMT9^fLB9<2c9^!56chR>P&T%tJJCIQ zD?WT`4H#6r@1)h`qKY!oz)7h#u-i~y3>YVHTyUF`_wPq7jt9=z<6q4|@PRN?Jgqf? z(U0YI2oGE>q>+(0FOVJ-V$w?0{PJvjj3(ot)iRWCf8>yul@iaulLT}b_(kaXwY9Y? z#LufXBjj(BXxt-CPuG2op=W=FxZIt?%ULmwII+O-KmY(ZyPG6J^8R{_6y7RoF1k`> z!9@}%0#uGD6foI-Z=c-2@PhqwD2k?o|8jc34+NM3d;I0iDy+h^!(&}ige1|S)asL> zIi%4l0(~U+;3i4=n>HKkfC%*pJ}=&=0r1v2qQ1+biQ+nG-?^oyC^SH97O}KjW{S{E z63LP}&O9LrDe~UGPIS0BLCK+H%;GTO&mk#T9Qz*h2zTVYO%l>>7ZWdXf^FXq)c&T? z?ABa)5T3F$*2xx~gTSU^K1&K_*FIK)Pl-8kXdu z*M}-HC0j?C@WrHx6+(nyv0qN1JC#nX9uuVuG-(RK{(*P)`n2_ubXWpLPx~5y8Q^bJ zDmfcjBosp*l{4x9ebCB2A&JlSFjd>L_iIDt+d(aB%4)RwA-C#&|k1Gp{iCF%% z9~UzS48%y>7PsoocJJC1HGmmW`+~&VAUz528<&W}BbHhO=ixF5nFVW2m4GHhSx{F* zWy`V2fTROqjV{8P3%o+s?_YQAIL;|~B*ZwmO}ZG$s;8hA;?c(lI^~e zmZj2di9i}(2?hcPCrEv3CPfZtT?DekqIcrh$&w_|B#cy0e@Tq7u0H=F5qJpm|3sSC zU<|;s5vPMhyylRL`JxIHV?VLCpe!wH8^Q_((ga!!VUPr=L-Bxk3TBs+Sp4$k%Plbc#gNnk03q7 z8>X?K!7$L%r(yYgw|sd?-5K(A+O)k`1UNJR=BhoLEtxsiU)d73ukWrO8J@)>eVYaOy=M~qSR9+a^3O}V1zscdSG$1xlc2-YBXg6 z$eI1HH_s5(x6heOB{|Z{aey> zq~(xK8xwDlA_K;K^3qweXLs~xQoHd~0a&A;L;|ccEkFfh_d2`5Ba4(L+X~hmq)nVR z>~cm1Sv{fWV7DW~tLel>qH^->#eiTt4=@Z-pLf$o&Hok|dWX>6=rQY3f zw!$IQXW}OW*P%heib|l5K0@hImt&(k&ab%dEr2L zSaimBKpa(*JArCuimTlLMv@%Ukxwb&6nyDPy@>(IQJS`$VC8i0I;3)wPtmxj)Cd9n z`0-=PO&YN;&W+~uu7+UyFVtijZE>D#pL=xfA4C!%O4OjU)gzD@NemsA-T4qib!6A5 zo%BC}icv>?vPcF5V5CT$U=L#zO}b#YE+Z(cvQUVjnt`)II;L&4Ub9DKi@aQeG`L2H_icM1p2Rr!87+M*rDunX}5|A2iCj49ZM@)A^RrSQ-igdlHDIJw;+4q?a6mIBC8&@ z7bRCc^8>ZaII}l+lTpVprL%IhGE$n8T;h6)Si^QCguz+mWGY12uM@Kd|2{X#B2Om=aC+ZEc zrQ$Ytc?%OWKaY-%m_&u$q8KurMbKYRpe9d-P5Rw;-#s5uX{QcS2NyH;9*vqkv}?E) zMmw#~TD2eKiI{NtA02`}OzbaQCTiQQS<`dpAh%kwXRtBt`6ep_99AtcDhYppPklE0 zsWi7vCzZg{wM?<|(UwMuo2lbmS?uD&k9i#JI1=V9^UiP218fI1O&A8Kr4v3Pp!Exg zPCx$6&bu>|kBUgt`%nB$mRLspk2sr5hMglit)nCR%9Sce3kKcUbLaEwcMvhAqIt51 z$KXwHWylgDkeJ-pVs8wQJu*3`tVTspqTN1>pa`fKNlN|uJoAGr{}1xa$<4VGQgpcd zxBA;P$}m2_S$J!^(%buwd#fMILiw|31Ed`rxuzZJRbYJWbXetFFx&a-T76YmH#6Il z6@L-XRtzh>iODQen}EcJ`t2K;ov_B*6+kB$mFO^Wfo#%gi@W{?Br`sUh)@-cC`AYQ z2H$DeHcBf-dDL3~IDR2|bs{11#Aad}vIRv1|?5><^M`h}Dd}W4soj3lz@)JksX&val$(w^q?q2AOEQ z8gIfROd@iv_%M}!A^+^@wv{_s9u}xu_Q%jE%;xGN4F>WhprY?c@;&hw0rP{Lh>?@` z-wz%!3W+T|JR6jyNNNiq3uQQ#GFq#SIxIw(Pyu^FjRZ;xj(t{X1N8!nYlcQCi$hR9 zqn#e5*GEPD{`dI$l5IuFBd38941`iZ(i-0f6#ubO)`H6NabQ*vM^#q7&G##31V4v% zy|JV{5D6I+RfFbLK2jd&Qk-_}UZv(SG&|8pf|fL57JW{ewi^r&Dn>eMv^GfL_4W7J z42EAg9qm_{GL9zrBJyF`CXnJN-cJb1UXhpoPx3+X(f8zohPQBZz8RyZPoO_^ZcK(qpJA`!c|W z1P~qD(McW7Eh*?melbl?md&H8!CLHNFxw+Wf7}@Evav213CLN6{|!-VrwAUef2oZZ z;U!G-!3=^XgKW2!zB_QOP;wC@5iqyJy@Z!su-|>K57C75e@g=rXyN9_!9`+>wyQpk zRr~IBPJ1pw;AHX2=2EQt+60w2KvD3nKos$N&;cNia%b+<0oGQu05d8_tieAVs^e?aStp7-hryxn+bezX`zK% zLz;~9O-f4y8qPw}A>qY>&V$xf0O(kor{Gb46C?WBJ7Zl6P@kw0W%p=N3jq)i*7VJ- zhsM1^w~@jG6?af|;6iV)w}7L0w5O%KgrLL|73Xl9NXIZzj0oi30A2=iX?C)`J*-49 zv|PP+(#98cH<#AEvakhzG0MZ)a@%COJU*Eq(%uG>{1#*Q)jm z+`kNk)AUMIKH)jr$()TY^zn8_`Mq;JaUvW}KRKnQ^spo`hMtJp}y zKv6{=Pkd}EtKpH7?Kve|@1s^C?}4URYkebp(+h3Pkq!s^6S>n9D>RX~yk{A{c$Yd_Z}vDE#qZ}DTdazxzhj$l-9hGnN*uY?qLxu{ zLTLno;^sQTm#$C~*)YP>%>qx?+zdBL`kuh56x$s{?eusC^y$ojYLfeHuxKXDApdoa zA8DUJ!iw3Sl^vq7%ikCYx5>Sy-cqmO2d+5T6W}y2a`XZ=N0LBLvnEH;*jvzs&ZL;) zWq?xIT``)DR5l19k+}Ui8^2gS1(3Gz6d!LpH=ckIK*wVT95O*A9R#S2R4o&G@9PcRWu}AQm+2>5` zgLkGMi=jT3y~Q!&XGR>Otbn&81%WR+^bT&ypcV>o14Q%625bN%ua0i#&Nxc$s|Z%~ zE6=P~KFx20fN6t?{}81F7PSTXZjuDF(;S}xc0V7Pv>EA(k#vS^G{Zkhq+w=h;m2J- z$4`GoK^;@Z=vgD@=hpWVz;K77<=7TFi>@s%eS?xAE-Oc+(yS4Sr!4V{)l692Ok z%-*Zkl&Z%=71^d zcmbp!+feAsrHbT>V4-jXNUnBLYasZZq*Bnue0Z8kgD!(Q3JDUw(>gC~z3XVpf5k#im%?+&X(U zsj9IxKijvQ({u8;cHzU<^s2YFt^rGEud7<{DN-*cle5pYxPb4i% zYa28g^j^DU(Qn(rE?llE8|$`b5+}6a>#EA#^LsVAllxzP<>}}-X2!*yvDQ0_A|!K3n>ci>^CrO>lK+N81$AK zEK4eKt(_UQRLAZw!HUDq&RQFd#V$ehXi$<@Q)5TAe+3%H%mv*}t-sAb%G<}s$7`!c z5K8`{?PYap{GsHl;Bi1{$D*e)gpXpC6si}>l@uw?D)HE3-KFRUvw)^DlT66tEi3Fh z>KfJB+@^P3K$r!F>frsJJ+zv4&{>XR5h>N2<>YY>nhAe+#LAEA9U=kHdTOeY{V%5& zr>9();P@9R+YUosORp`}Ilo12-m!*cZL33##UA<`*Kc?5(n78+hc)UoZ0cQox3bB_ z#-}}GYG^7xHo!AuU-oW$BO2@CJ97xNpdENIC8pTpx=TjP^6DK9j$Smq#^b3Yj0qb% zP|CQe0jm0!Nj0J>ABYrO@nppr4o8kGCarK&Neqxis~JTP9U-vN%y3ps)L8IbBYXy$ z48&c<>G*r9EZT+=x^k*Cft8x~yYImqOcBc{f0pmbJRjbOdJgUUKmJhN;}70ANdMgj z4*ba@B9lftvW6JN?C!EXfenP9m4R?0x%@`C2v{W9wT3Y92Fm=EwL3@&r+ys#^2)TM z(L9-9%xxrO!LE2kqrO?l8R6Xf&#^v)D~GG*&xPy@hZB-tKFsenKD^~Ss5a7@3YSjC z8M-=05>nr@e_cV?#$$V$_qK)&Z1;kPA4Lcv1-;{ z()p@w@0(}yDz-y7$)mR|`KZbc2W4%o-|IUp=x>_SpKrE`9Urm&;E^c9U&qk6grXCb zI7valjRmhdDv*I?pT2fUe`n;A^o?Sdb&i+D%XeURczr4-d$tMRv*k{12NJ?KynVR4 zU-m`&jg1fbb6I54tlcun_X8@2-{M2{qqmaW;VG&4T#9P?sIU6qsB{C zn*fKh>%*IIbJ2J=1cZijfq{*n!c-0MeT?RjB`-lR_-w^$5X+W^VI^neW!buACFSCE!=^-p&q#hl47xJxlgz6JT z&jKH`KOTwy>iLP%fkaeK^PRUgwzK1G(H~`*S&2fvH81Z{Y4!R$9#*oQ>P?(RUpDqz z(mMbPFda|VRcVmFkjwLg>~!F-!(>>Rulk4QlKP;pdj1^pH9O9Dd3kha_O=({aN$ZK zo@iG*QfwMD2Y=;oN8bNEmPj@PqXnMuCSa75Y>_4uq;FW$^6UEVRL-#qlpm|4RgQ@M5j z+FrZG{ZEuE554&zDA;)k^X?|Ij*E^9Ce{22BY+ye${#Q0UDRY>B0}StHs2<{KhgTh zZ=rn0ExX?DGRvlm?o7)g4vx_qP)CUvC<7%;#j$A1)pppJl54)(C~@aH*w=2*{c=kc zRpFcFyP|fqK$m?{5mk*zqVSVon6HC1^2P!;g!OTC=>mu6Cef9&Hy^Hc@?y0mI3{In z2snlCNMod=n0Zw_9TDi6jIQSzvMLQG#>ABQ9bf3^*OWRrRkMpP^lY3Iwg!@Dj-%}T zmV$j~vgJ$xFWqBU3%lG93WH@Lh&Loz4qQf5$I#=DV7<@aAohpsyHUabcbF=&OE7L^ zTgU>TWSW8Vo$V8jP_nciArfIO^_E;h zX5^-V34b9r(kEj?y1fTbcN3+YOA1rhM@l=H5$gS3%(k|M=ca1HW2>lpbZJrdK>git zxN$hAgHIBPEUG!(?{;*~qc_6K6=`grIZ72hQ}J5URPio^XCrEJO?(6RJU=jZ1q^Vh9wzLJ>rDgi7) z9nvw;gs*qBb|pnpre?_cUEX80#)h3wni4AyW!*V(fA5h$yWyq^yoLte7M9ju6=vkN zkUy9nd`zSq{qS z9TlMqmeVJ2Ps|xwGHe5l`oN1}<-I-g?p;vJcdxMc%!I1)Mjq4^{jb7jc$uK2H#J?% zSK_Z-UJ3~nN>8jGEY)auSkRVobFr_4kl_bP-~e>eB?X*v%KST0|GSY#Z|u0#lI0a! zCz?o!6k{}BFrAsNIru=+g*9=2%UZN^+I;Ad-(EB=-$tF|E{dURx*A%DyzLVQdMnEx z7HkK!#>da0&1p5@6prD`RA;bht}f z`5S_u>L+jyK7n!jfMPq=u>YqV8CKS`S-*{Fq@eddH0xMH4CAsy5JKJn_!%*VLI1e? z#i|Qn7fe)CYy@vf7b)SV{QR_xj3UqqOV~lvc{tOf9&yJ&dr(#b4QkmYWO-}>(QIfDRqXJ0W;hUsc*MFN4qP|8C4mmUUEEio_l$h}*&3AyNvM4J1Z z+-2E<8e~sF-Puy4s;tcO8GIX;xIBxTkfmU}+}IYkZ`ZD`(1KaSK^mfgsO4VBl`CoB znYjT5gU#{`nf>6CfscVdXRha=K>%24Tc)leZd5M-FcWtaLAZB)K7Q&9To2%#E+|im zRW~-@+zSV9)uun@e_Bjp&fFweh5#o>hf6ix$Xnau(6y%!u=ttlg0c-fq}%tZHW@8j zHkUAebXKl^T^M1FZU^~Qv$Dz;yajmJQ-`!I_dke1qYw%40mKpnk~b%`_n<%>0S!gz z!p%qsU$zWWd^f8Ntz!&py%`Ma;}E+?@}`}@4Kt4)6}1;0>~sSWB~`6$Vlj?{owmPn z>b$SNc4JgS9$~Vz3=J7Yn|H^9858CU6T9a0cVoj10U%$DMk~3giZUkqauD(!z_Yma+Eh(U$J9vzx^ke9EbW z+2yN%ZEF_v`t|D@5&Vz2i71$K=PJIUQwivB>!zt5sGxhX(mF69WRo0!pd_^;p3ZRC zC?dUcEExD)*NyA*Q|z@I+&=Q0b3mJluIhMX&1@T?*<2yAJR<1_Z1qI_jM z&Ja0bxEQ@Ci+3JmY;uHwx04d4j+QACC9K#}h4r~b#??Pe5GnFuS$q$gUlpX)nd@bp zdElTTpaOE!%^$r{v=h>Vj1T)$ts-F`feSoCL1w-R*CWeDiNJ?PYTN?!=()NFwdOoQ zfe+y2;Lk2GHjV_?VjW2@hezX!O8K#lNax=Y_v)8M?y8~1ypY1TzSoN3i%C~W`IJO- z&n40W6%VgbiaBe8uelXDljJ9_`_Wqm1tok{^=f#J{JkYlIiaDcZ7zq^pqBnvs>8k0 zGlmxRdY0U~Z2&XX-HSYMlmzs#E|x&Ph_t-1I>Hu=am}o*7x$-*H-(dXxOr3h{Q;7N{hK9s!1Toz3T{?B`DaAur{4=&fl0p7DPUYzg8q<5ln!9hg%L;e;FmmAjPF2e3MY`0wZliRZS1nifaq8L_z9( zFj_Oya=n=L#u-84*q!!H*K-Y*SgZdvGLv{vBUf8Y;I(+zW z{hi#I&BMOiz5h3GMCRvUlxu2V;Mc_5CHF^p9b>usPUI?(7U>TAPN4~Y5) zY$(c_z((9ZfOL^f2_&b|UHQF>f(Mu=%1rf>ibi=>^sGzj{m<-;F2d7xPoJ&8`tO#y zAxVbsibq0cy{6<5=ZZRXe;xs?8qVl^3S{j|ABZ4Y_E-C^e2M>(>mU8-hv;rXUF!K2 zR*M{cjycXT4r)ufInB3q7@btvcXCC3wq3_1&7_ylepT0O+$-4|9aKM$w|PeP_ao5D zzLa=D3K1G|uyYYagK%6mwm7JVhzr3_YO@^}AMXrs^6czt$ z<)G~N&G;xn=>l}x_1v^`qa@$B$xX)bQThA>@QyTCVt1p)U%fKFZ*@@p#mK?E0c!5_ zS=1|tWH2O<=VM@Zs^^2RGSjQ&&S-#z`W$!pyi)1n{x=~dGp5Tt*Y9aw1kWK?)IN7} z#<$uj=5OG?&9!y70~fgdEd7(`C*;WOWglsa>_;Jx;Ep1nCR68Ke*%YfpwG4K|KV;r z_N2m4avse$rLWlAAoY|{a2PX_7ei}#I@)n3geCGk-ACH3=CQn=FE%sFZtTVn#ImWV zzhFvQR4wEM!n#uUhJ9ghz&?lTuhDC_8HREd%STdiw&0JdEIuomnK4Grz@%QcP| zwGXMu64)b3BG)0TU2P<7;1|G>(n|@1!@7BfieS5l`UuSr>8>@t2(F9*MAn=3Y?`5x z2ftGl9b3s&a~qpY<@T_>Gz3o4`p*CJF(2w2XQxPBK0Y(Gjo_&V_JAbLwV@=NVMpGa zetl-64EEErcdXlgDhP0GZ)bPqft&HNF&-eO26uJBQsPnr+3i=7*4pC4!xaCV?cOP# zI5%Xle`7;stWQQv%8-g9fddoeA^7Hop+}F42H61naNtcTWDyk)FTwg&&qt&TAt4-D z>IDV%)Mn52addJ*R-Trw^P6XG=doJ2V7<#WAI1eP#Y(x8C>(mHf>+cqP}31_J`1*4*bE&4yr(A$0a6ZWTztfrG;7CH ziTF|HzuwDwp3fT3*| zmhD`vQ-xt`aWqO5z$gvEu|L#dsy^>I$2%!ak@o(4950=Co{T``YXJ zLn8Y_{szfL8ih;2bzLzM@r14!)E;s~?)2cG3bylPH%&sw;5_Sf|FF+z+Uty13U;Mx z)zE^wbBNGm8*j!&tPRQ(wX&$$2E_>b%k5c)8$-NWBk3k` zwFEywQmIDF(7UK+OqpCgc8-qmBm`=*(V_H~!+RJvXg18@U^)R{Xh%*bJCr0}bcnr} zsJ_D9Joyf+G{GX-UJ(5BNIR&YWWTi@mVaX-ywzCeuj0S8>d9U73Ko`l2)oVtvu|}r zbEKIQJ%uP(grM^+Dt;`^wp*g}^3*8^WLZrw&`BHQ=$JDkWVGeLGj(#W- z&?%r1v3vp1!`w~eN!zMmH)R@Gf!UYve}asp}cab5W=<3(xvrcbd`8_{n zDEv8q#Pi10kac)Rs!>pvLi}h@dyMvtoRPW*HQatUGkb3Tr!(U>XK1g`vae|&LJ(B{ z#M$_g)rv@-yFS*0;J`P^G8dW1J|_#|k(o$QqpUzb>uGuyWjcrQL5i64wPTEL%F9PU*Izy3p0 z(AP$0v%h(>pRgFz^Fb-PAX_HCQULQ_)i*Hnm^A$#C(*jnYL)X7nO~=8m2cK+yjWSL z7os0)R1%RvtC{}|qoZ}>1Ser#*ffEyZ0#K#8x$oqig;t81q=r)8iDz}s(TQG%^a-N z`oV=35K)i}QKBh+x>o=o=S?{Fueek)U(4R;`QutBuPP$pedRr`yXa|h`qo3JdsVcK z7Irih>lKk^g%&+o{qdQ>#s&V%zXUD7fND-t_6jop2SO#I1^n`X<{A#uzx(Vz3{T1; zAYY-?j3FEbr^DgT5Vc&(F4?_D?j+&~pI=|0D2ogL5buAE9ZF;=cirEunrxpe=9?+~ z-ZoE+MKNjxzh3(i9PzA6-VGD--(01sdXmIIfz`>ACp~(r+^JQs-1DzzHJdFyXcU3% zwXV>(TDaL)0V6PM1I`19ub-jl-i=+w)!?)GeNF|fmkh=pYu#d8wb^P&yGA^~RQkcS zF%*u5hP-WCNo$9w@CXAhJ*9J-svpGbKPVA!B?CCi;L>g zc4J9yn2~TA6`i$1hM$S;aT4CFv=(LikrWUh8x=i!qIz50L#Aq{K>TqXEUiE7s;?lT z{mUq4vQJHTplTe0?tr>}!%i_?c4Riz_#7#X9IiC66~{7sYidYqcFaHq3xRGr5_2nUr{HRfracRX&=-E zKjXH@qNgb{oa6m1grWu-5cCcVc~jG_j5mCmdYp_jud3mRPhU@JN1%_S&ZDD6Vy~^2 z?(LjJN#zh5w!N<#49;&S$P)oTv4TkY_l?>L_XBKR(r`6DG=3q7tqCesO=w$k;- zyza&9FPxWt$8`z(*jt9KV`xcMU_7j7`;xBmtisBDMPC78wBD##e|f`jc<6P+1bKwd zii|{u5&T+$y33C~9iwxLIM3cv5g(j8lTgD^R*MIk6qaKHYmIOSLTzHNMQgh^0x|iKqG{FTqotKJqL4Jn9}D)lGNo-1)4s zveHyTeJRL^B)o-ss3c+t%=OqQ3no@(TDX8<)48bI@Pr^pP}+eyj23mle9i{ufoxP)OZlg{w;A zXNe1fX?QC?#xIDvA;}tT?e1k{R9vtmL5jh5iqa#bFquK1vE;aE&;2ZkF;adx2EEck z&XvKY!9I^fU9PG&z51DRkzug92Po6WKQkQP_lpzfwW)kT`=@A1YJga6^B`S9U%=>KKDXR-az)7|WqNt znd_*a!4NpFi`k4g5~2$L+>aGqJxb%A(RXjHPi2ZyQ`O{Jep*=E7_vlBFVU(oqR>OJ zS|4HeOT9f=jJW30V`*Jy-Olaa7({2*?Q|MsU0fjMNP6RymMy;G-M;86J-<`5a0Y>F zgDS%l5=bKj1P?<(L+@!ISZBD0qcrnYxPpAN?9PS6OPUK^-`3c?DAC&IK}7@Bj2qGL z)F`~DF=oBAGPkq7T%789OswcEaR?5g5613wmagki|1Kyz;wuw-TaZqJ_8vc;cC%4i zLk|tu;|WVY+h@DBs;5P2p<#IE%&@j9Z{rnaUo$0JbbD_`I^A5f&H({HVkR1^9bY2N zO{_MvOuNu-dTfcNn*OC?Ktau`rstanein7lo-hp=d(p<| zyGj}W=TvT;yt1Us-5}sE>Lgd4gxLcdcSG1tX^wh6VGsVC44S9Hde)7fnJ_dXnT|%% zmUN=ywM6s-lpIYHi8uS22Y&+K{yzeCXFn6Syw}5uP8+JpaSb$$5~T zoqKF97i8U@7FjUQM*YCHI&(=*LRn@wLPM}vBMY{~SGvCHlK7mLHZ|~{@}-f%`s~E< z&3HZ2pIEIgnO9B@2DpFrz1U{OKvtok{%hZy7;2S6@AZUBZBJG6pCvkNXsGhO9+To^ za7;rQ9H@386poIOwS@K7keJ3c&G9Xn z(~cUykC;08pr^{Zpv+zyy31c?ciXdiJ0$UK_JVqOU4H+dL1U4@)nJKxWI-ffCv8C; zv#-l!d?3Hjt4+1iXp9^2;yL2JtlsLU;rjAueU@F*zV~(xzf<9@esv_hx-gO5Bl2jM z4yfs8L~aQT%S$xu-O~U1Yo`Z?U%GUP--vq159#KEi5+tck9~jbsLx$QL>kr(Y>6#0 zWF_-+junaul8uX^Q-h@4w*9tmnEHdkmWQ6E&qYjXhCxJ1SgNFEqf4{&IwdwY)-BP*__f+#`<$0$%m=S}@IFG)xa6?|vs?*`c z)rKv*AA&wWs<1j1iPi*d^uC_Vs@8wq6yjt-JF+y)n8}73;{Nhhdh?!8y4{b*4{T$! zdG)_mle~5ce(tWvXf2Ny&rETy9;|E3u!ia3_rw^cPH!Ja8tr6pB#~LXr(4~xGt9!* zyoiKDH6^v0tp`I112{KOt?1pmBLoDy_C)6p5q;jZQzG+7pV-FsT+qFBO)jdiRNRc} zT+S426FI`l_u`8pLNn9+oU0}6UTBd-0StqMZG-0M`cmY|Qt>=r^f9Zwzh;;B>N5W# zdBx%hkr#5j3m2L+nzUrfF&o4Cdpn0>!Yzltzby|Dn|3yj>-YXSUaBdqcV1OCg;)mL z#!PV?&^Vqn&bHoX=$3U_51hP>j$g6qKc`aSTn%gAH@XpF(<)Lz)OSS!wQ2EJ6fX-m zbSCUdU-K!x#A*hD)^oVg#Rc{F=!ZhXi}dpjcH!58jg*iEo_i#ToMHrDos6r~3wcg% zMu})fnGVQ-rVvU=2*l`gDi8xK_i24>Yi+%u_J^@z!aD7LWh;J#TF!TYHG9>RHQer; z9=pXmMX>CHTL&Xnqz-0=)7$=TPjQ4WN)2CGg7WA`Cr=+Zw4o2%tb;BjtC*-=H=zdKuC6XQO+7pd$sGF;^V+j#kG$2a z+xCd@p+t_1LUSMi@nT_+@7KCMV|vW__~6qLpdPtiEvI364vbaWP)lK@M zb(Fps3!!cp=)$56@JHn|v|4SNigp7eBDe+3MyzLZKZ@QT#T*(Fv*Kv$j`(d_-+gxh zAyCAgVTtsc^sHlgqN;BvDR=3Czp$)7HGE?KOI4ruyTwLxS{^r^^lP8qbZf|{80%Y2 zC^}o?eu_RAr6{{GNeNSbU!mkfK5#4AA{v2IFn#9CLKJ{nVqg#k4iAzt+*wHx&{c$h z!l2t?T|mJ?d0#JyJ9;nr|MVb>unLwec_CbqQP@7AWj{ie2rBn_%cJJK9K`H(~?T%)C@cNMz; zNuI4!y?hZl#UFHzA=Gy8liFDEqi9YZ{vcW4ZP2h40o)}hCbhfa9e=~djj=X~vB>aa z{VvzgH|{DbIFL^uLcWi|5TD5H!;{dM`C8k$?r@BX%R})3!Z;BwQGjuN9(U5!_29qr zjwLBF7$>HeygJg^6ch3^kU&?2f^Ohzp`y?g61bgwNOX|wOT^3-z5NlrCShez1I`5m z;7r_l#HY26|H|~}%RlOr4y@iZmG`>;BwK!21UORQfGqj$yQA-Zo%tDK9){AD0;U(j z%h*N+(!ow_jOt~j{kI{GX8v~nLcCrIVi&K3vwd5yVi2H?VGx)bH`N`>5M4*zbM^cO z4<1}#ansY%(ioFHG^-kkX*>1Nic~BSl6E(w?<{=#_N}QTtKB9UJwlhccIJ>zz|g;a zoBKi{NWeD3u$|;*_lkC^ei2|>lY_~@Fx|p;*xU2b>FE-d>g2a~n!CcYcX6*Ajh}x8 zgd?Fe3z?-n&6y?5-NH6LMA4v}=Kke}z6pN1LF}lT$A3Nl?c-*vsjHA)bQN1t7_%8e zhXIQP$HUbsR>vCA{eDUfh<0nWu;uO;80%Ii`bg3F$HX=eT_6E^vc!Igj)E04?I!4S zfQ*z9ba-z0)vH%4x(QQ(SA@Q%x>28c<>K{w+Bl_-AQgbVvGp4(vlQ%)Hc=Z2OfM26 ze_s11q@h*JP*!&6Dg8sf;Mudoi_mOAEfpjm-dxv9bxLJ7pKBYn^x4?j^8eZvXN3Y} z4(OHc`&YB-fO!-jrB4roQ4`qp9qMSIvRKo##%!4^c2l+zg7A1*Q`CpN*8h;KgRT6q%QUS z;kC1mF|Dkvt9*dlxZ|vb&zQ$l6tz0PY|=mB16r6H|LiZ5FgbXaoAKfzKTQ)OL2UWi zKdbsw1A?3~*~pW$dUdG#gy?W(X6ZB6t8UC{g*YcwQ(g9bIE#pURrj@-i_g%PFNf(jcw)|Hnfuoiea9!-|u$>A8QYJA=W9+kA6r_jIIk zD`rVv6c+Jzy^62lQJx2n(RevV6Bcl@?E#jyLr?@8aRSpBqpf*3uO=bDjHX<|McV`OO(kqk`%tr(!XZlKT$`^L>`=g#$;rryMSF`RC0 zg&hFBQS{`=lQCOM!*br~cinZ$VgpFPS=eCc-q>lw=zev%$7`!=GsCITr+Zv@jHaEo z-|Ig8iJTRh&B3Ma=$Qmnu^}?r8RYT)9dwBda&lKdHG0H2dOku zr}CDQb)I8OYN*nk@<>uKvU_~+ejT5-qV@?{H*FH>YV(kvj{$?t(};#Pn4_n}-l>OG z5fTy6x<+-NP*m(bR``x^Ld_tEK+7^{i{hBJy;(e{kabHrk&d@3ZPrC^V-WQ~Mn$u8 zdh_bUtmcxVFAK$QC+MxS&301AX?LII<7ZP6U)mcJY;$NJ9q$aIE_=L{D*Ct9oB)SV zp)fZ$R|`@TDe*U?vszx+XsY)PjH~~n`)szp<`3?cb*^eqo4-y_3aZRHx*M!zu&4ol zbkEJoU8JG$rYSbEwd}hL<=i$?Y%Fcz#5I0kM?x3keo#%0wpSoTK`G7yUkyX;UA8uJ z`aoeI4vLU_<=~K8%{I2B+-l*gU45#aJG5>1k5g7{TFN+CUFgg@IjHQh-KAOQ(0{H> zNi#3a?fJR>{`~7J>4)iFHZ?_x%D3U?0dwtiSxUf#_D46vys0+)@O8OMy(uJT5hdn4Er3HE2pc8?ErnqF-{e^#8I}7xObdklzQbyR{h#PH9>bY&!0k#6gg065V7_S|nFwg>C zUTe!-$NwbhP^155ea+3wdYDVx$uS3?NA#%iFc%61G;5nK&=k9FB#Qypm{bx zsX^RSMC?ww*nDlCTGn}Q6#rep9MhlE)0rC_jS0Nb81M;MZ_ihSd+wDh2SOAPs0w-e zH}3`s^rtZ9aWl4Qu1;}qEQd8f%C@DW{H*Eazt9b8i2v)tcYbTruc{E|GCPl z%a8Xax+kkhSV`x2Zxj8*$z%`w+$y+K*gt^f6eUkG*B zthJ{}En)|f;t7Qx6;*O_a(czA7ZWgfC5l8u$Y|ihHVu4Ve2%U_}sU79I4gBTJ`kI*xvbC+D9v0<}II z79?2u+S2OFDun>A#WM?!kg?LkH-T*ac?p)xxqgt(#lm zViLiETMD0V$G%jpve%~w{YUS)UlMv(ZwgWPRSfxAU23^p{!x2#->)_=TatuT*V|sY zkCms}8@~)t_PE+_1$z!${S=~8zm zCk^cBB4P6iBUE29t;Dxrej)>%rcgCN|r*r`fM9_DMgV8M$dY z3>dSWCi~stc0vZj&@F&JocHg`C6-E6Y)}@;e*Mj`P+M}#2Qal) zZAxM!9n3jNnZZPmrdk-s`K?N1V`lx4BA!KEbLdPzp^U4EFKXiOZoo>DbS~v6fxd+$zIzFl#uI3E>E*uRAsF`|y zWlsJ`+w0zI8v(S@k?lWybIDqiY+kOrZ{NLpZiJ%Vm`1VyK;?$vWcju@qhDX;kLbSX z9_MksVP+YQ+b3XrwF+QezLf$0!5xgx|jgZ`6s2_6>ZVS7{h;Xr;m5Xn= z)Q&ZD38E(b#?fasS)Q(?jRh#@F#imi1tc*B+!(R!DF-;>bK?(H{#gCw*Jr~d`8$b5 zj*UyBss>a8&e(V{(0&(7+B5YEx>vYumnl{+;XTi?u8L+DqKnuY;dI?7wSjC+5pP#} z0fc!Ld;%z~UTfvUvBZ}DQsuHVPPMWb&${-gg0*}J)Kshi4% z0-q4xLdp`@lx$h>@Zm#4KHcb+O``p=W5+hGt6I7aJLV(3*zY{|BYgxBfz{1P4lfJD zHzx5NImG)>(qoDBRot>V1~i6JAx`Yrvn^P3Fqb-^qRK*X&lCIZ+ix$G!jBBi5cj`h zT<`6EL0qqwFM8lQm5uGA6aNbtPbH{@Thh_dQ8F+vfTBYs)Za0tZ9(x!Zc2vnSt4Fu z5pm^8nY%JMzTL?@@=5X!+%DpEti5YZuX8<=xlK`P`SKL(7Nd?C8jBV=B10-3sy3yx z=y_77vlU!E<5X-8PQi7fKbUbZax(q4x{hYrERbailOcH%!5ghKQ12A+*4 z%O|)6bRk|Heq;=$f~~2!Xpzt>k~jkpk{g*?*yM83nJ#tiI%_>&cRLP-JHFAvINXXl zE5swZJnP*K!)N&QE2S9j3PoFfp?Qyu*8CyP~j5xu>e`ng-I@htWIR%MBI7`EV-IANh}Qw-K? zX0iQ`u;Fwc)Mwe#$2qr~sL@|?cUg=JVg=lqQ5U)+HX}M`=1X&}tNp{L*_QFWeba<8fAW~rf%A$y54k}b91a=P zEBjh;T3#w|+*{(7>Q;Q6pYU`eo@vnavwhuz16o=?BsaU)NE8ON?y}kJVGIE0X68U~ zpMl|lH$#qf*EkqAEM9H&kY|0vifQjw(Y*eseiP+P10%}5_Hz66x|}UrhBn#_jrFbF zyWar$*ai^+-?zNF4O_HFFV#ymy*Pk>LS8?wD6g>FtheJHuQ8^I=w4;U_pBb?Zz+BA zhaJrle#oiE%L@X&mM&)GnX2-@KmHUCqp2W8VG*`2+#%#l07Zf!L*_`_UhT-6wk%YbYZ6vwU&x!vV8OiCQH8L-i{npCTaxFrcHJnrtkv!3w z2TFbPpMR-FoJ01;cZ;hA^e?KzT8F41=pfD|`)#RTr7X#V49)ESHx-s}bp>NEP>A#e zXRh;N-qGORgoK9+hxqTRu7^>XGLE+jptr>w1KaJ}QLVknO}Aw?BIPItLh?RS*HLT_ z0VyuXUAAfy@iGZCy#)2Eg~tv&Kn5m`GHK%Y4!0s|G-;0hRc^<##0b&M}za$6UEtBGl$Xy z!`tCF`i84K;Lrm@abBe6v?tZ`YWHmhJUx_4LrPy&C(8!;fd8kxYyWEM%%VZ8I&FcW z#jyg47Tfx$iUXEc158oDTA%#<(7i92U6!mSuN2rhK1n1T%rt5u`EzXQ?t(zf>j#Sa(i#=neA8Mw&s~bjq4- z!_p=17fKf(*^ag$Oz6`N=M1W!ak9e)*nPS{-M1Rq#Nyh?M@70QxXerU-=NzwxK#D* z^k?kUjsD4d$LxFB0_HNst`*ZMUdJ7KTi``FUm|S^?;h7+qL(Fjt-Ni; znbTkFTcqfej<`{o4r7dj)2-vsc=sR44WhJ(59e|xJ;DQa?%cd*EU`57f|tS$^)6eJ zvL4^DQrpw@9#;?^)h!j_5pcHjUPJ`20XqW&Zy<5eo2V3k)B(G%g!1DeGqxlZ;Qs98Mu%1%rou=SMKiEaXe0X_-d?D=}<51ttdU|V}Et7sniX59Qk$ zaYF*dzTM^@B2D7rBGYip()Io3uo|Oa$o678;tUt~01Q;9ZW`^mCx3SM7$cnIV8}X9 z#*Q?^YP)cX4+O>bA(Fw0#gg}}2xRt!8}$u?HmF;AyULc?=;?Phq2x$U;p0ZDv`1)a zmi2M~q_p0D2prAEiW)-Gb$E1n{tOCSz+Sp=gU^jj)45%EtQon+>0iVi>;o+|4f=G{9>QZ_XRbFTvv^CQeA*0h_weQ-h2kHZTR1 zE-u^_Wxl{tU5d@a5GG=N!4%qOTQj(%%3^w2VDtd#O=iUL)K1L0NF-WZ?aN)ok-G~V zVM1YB;ol>V1>`}!R+r+kt{x*&7u+7eZSsyY)Sx>dKZCY<%5ql4EG3h6H$3RV+jTNF zkUbH$aoUEX;3-9-=uhy1{N8OA8)4mLZV>_g7L%gEOzXs)keSoA%3(F{HmYiH`o5o~V&!&z27GzN; zjc3@%iILw*(hR0`n@_`DzW!NZw@tzFqsEEuL^7zZ397xZGd$vnVFrPWnL~%?UQoSQ zjpWBrbs%D%Pb%FKD*!Er55a<6NB^(9BY-v#h8*(`1RZPs$K#{P%ZIN4}e0SyD785nuo zNG?rf^e>|U*$R^lOi9`WSX;0SL*iAn8175?2Xm?=&ftSRSVe-RQ!of}8M}MQy(!eu zhO$ELOyKMQxQIA#XLQ@7*^^*_p>IH&T(z|lhQi^X@u85@m#~6YCNL(C(xMcjN|E=n z6x0t0;G`ipbSN)ko?zl^n-^@qw0VG@0jJ~U{Wk3-+H-BbztOFBC;Zc%-P*F2tr(Xg zrHhwER)&4d<3ko}==$o+f?aE%!}0LDi=vY- z6Yd2uilE}{a@N}EB^3jb=-MkiRg~8iDiHcY;Bo~9!YnAIxC6er06`r(S3BZw2<*QU zzY6hb^rX}+y@*YW^^BafqoiP>xlr!v9A0JqgJs(EZcx(9XIM2At32?-@KdN_#z~7U zSO|VuuSd5NeF^*kkTT%h*F3;zo^RCu8s(Ew?Fw&`oSdwi!O7n156+T~{{A>6BEPb! z*|mA#arMaux+?DD@a%N4aQNQ(8}j+WD|k+5SSFcoj8-nKc{B-koV`L}oGcg!0rPSp5kg{iZTeIgeO-|L!#WoR?r z4FpsmXU`rH)Y7?xeRctGTwos*s=vBK0V6l|44BT1l|IK%0T}T?wJrkPRt7ubP|*Xf zE8Ah}$#!_jSHoIDm1>Y(t1Cx>bwQcMcLM<;G!ZAQVbY*%V8-~kjQw_@@Yi8n2XUJcbDeZq9=Y3$I0N3|q<1YH z_hQU<-Z0@yLrf0fTt0XT075GK7=Wc{4QnGr7!!@s4{mSjX~$wRT)a7@-{3pMU%Gy(b( zxWFdp3TxY8P-?*VNQ0D%`1z_%Fap~vGa+z8N*X&LXp1*Xymw@QD7_o);>af$!XR-sfXDWkSmThWmDy|;Lm zR2|CSv|2DMlqIxJ*#Uqcs`g=4uHz+3SbnJ00YjlVl1ugzsyb0oC50kGN?!A%mr7l> zAx;pdOmSgnzmYCXgtvxHf^3H!?_DMPX*e=Hq0Dvr`)oc7y;^+Fv)Gw{Rp>iU`Z*qG zA2k72GZzraTH*f_FeIWOIHya~U5g!}_})}D(W7;C?TAqf^dD)+q65L@y&|--KV-V# zz$W8pf`xrJRW_Za5BKzrb#PDC!aJ7sr%{MRk$1!!;`C=*y*6!v>&a#9F=cR1z?wPP z5mO5cFuORz`?rQqr&vG34LY3%6Bh?U8}8!GF)bo)#>wE!Q`LZaLCj{;i`B1 z`A|=P8OI_OW*U!WG937(p|Ojg?JjHWH$LAwq_YZ|x7Gi_osI=iC+SN~7)1Fp8-qZ!QACR{=DE z1$x#T`3nk=F|8^s%60hl_k(}b!bz}Dd7IJft!c1|eu-!5@uB{*C|m|aHRPcVp~?M@ zdKLKfq-lW3f`^l;#YsrPLLAzr`ppmUzh8g-9x`;);K4BMhU^YR7QtwvnWQrVF8=D( zjRT!{%&{~mNFermWi#EiKm^3tmGb1?M>U9*;EC~O@n}5`N(JPTYcm;jM)WX2IF{@p z)5K{iUoZ7SO9=#(UT-qS29HAnh*&lkRvz!S4B<49@uC@|*LxCl4VNMyzG7?J3Tj#F zkpFGG7i035GDyl6M=da7So>g08lV8moK+lWhhShEfaNn0Bpx5*1RRu`_B`MAD%!V& z5kPX3QNV`^d#1G{48R(&T(3uT7`VCwg_Ct@)IJcj4R#$)6UpL(H5MEk-IfdeBoZyD zGY6*FvnZbNg*A18(4P(Twok)AAVQ9UeE!@9L#sHWZ!xwLifbVa@x`}#)jRrj>j!`X z_F&A=5#5Jl7xjIAj7X%&Z;p>w!DL!*rjw5KfBb(-dy=56;qUl=RR;L~hcr6>)1#C< Z<6iPOD{8BWcZz;2Hu`QTd29E_{{WmzP diff --git a/scripts/get_paper_figures.py b/scripts/get_paper_figures.py index 2e592d9e..aaa112f3 100755 --- a/scripts/get_paper_figures.py +++ b/scripts/get_paper_figures.py @@ -197,7 +197,7 @@ def make_distribution_figure(fpath: str | Path, overwrite: bool = False): density=True, range=(0, 4000), ) - ax1.set_xlabel(r"\rm Flux") + ax1.set_xlabel(r"\rm Flux (counts)") ax1.axvline( np.median(params["f"]), linestyle="--", @@ -234,7 +234,7 @@ def make_distribution_figure(fpath: str | Path, overwrite: bool = False): histtype="step", density=True, ) - ax3.set_xlabel(r"\rm $s$ (HLR)") + ax3.set_xlabel(r"\rm $s$ (HLR, arcsecs)") ax3.axvline( np.median(params["hlr"]), linestyle="--", @@ -780,14 +780,14 @@ def _draw_gaussian_galsim(nx: int = 71, fwhm=0.8, hlr=0.4, g1=0.0, g2=0.0): def main(overwrite: bool = False): - make_timing_figure(OUT_PATHS["timing"], OUT_PATHS["timing2"]) make_distribution_figure(OUT_PATHS["galaxy_distributions"], overwrite=overwrite) - make_contour_shear_figure(OUT_PATHS["contour_shear"]) - make_contour_hyper_figure(OUT_PATHS["contour_hyper"]) - get_bias_table_subset(OUT_PATHS["subset_bias"]) - get_bias_table_boot(OUT_PATHS["boot_bias"]) - make_eta_posterior_calibration_figure(OUT_PATHS["eta_pc"]) - make_model_bias_figure(OUT_PATHS["model_bias"]) + # make_timing_figure(OUT_PATHS["timing"], OUT_PATHS["timing2"]) + # make_contour_shear_figure(OUT_PATHS["contour_shear"]) + # make_contour_hyper_figure(OUT_PATHS["contour_hyper"]) + # get_bias_table_subset(OUT_PATHS["subset_bias"]) + # get_bias_table_boot(OUT_PATHS["boot_bias"]) + # make_eta_posterior_calibration_figure(OUT_PATHS["eta_pc"]) + # make_model_bias_figure(OUT_PATHS["model_bias"]) if __name__ == "__main__": From 37b1dbe5e84af2fbf86e81905da6aa8169cc4496 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Thu, 5 Feb 2026 13:08:01 -0800 Subject: [PATCH 04/20] self calibration with eta test --- .../feb5-test-self-calibration-eta.ipynb | 663 ++++++++++++++++++ 1 file changed, 663 insertions(+) create mode 100644 notebooks/feb5-test-self-calibration-eta.ipynb diff --git a/notebooks/feb5-test-self-calibration-eta.ipynb b/notebooks/feb5-test-self-calibration-eta.ipynb new file mode 100644 index 00000000..b918eb22 --- /dev/null +++ b/notebooks/feb5-test-self-calibration-eta.ipynb @@ -0,0 +1,663 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 54, + "id": "4f293307-5db0-4836-98e2-2cf490d518f0", + "metadata": {}, + "outputs": [], + "source": [ + "from bpd.io import load_dataset\n", + "import jax.numpy as jnp\n", + "from jax import jit\n", + "from bpd.prior import ellip_prior_e1e2\n", + "import jax.scipy as jsp\n", + "\n", + "from jax import Array, grad, vmap\n", + "# from jax.numpy.linalg import norm\n", + "from jax.scipy import stats\n", + "\n", + "from functools import partial\n", + "\n", + "from jax import random\n", + "\n", + "import jax \n", + "from bpd.utils import uniform_logpdf\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from bpd.chains import run_inference_nuts" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "1c95c5c6-0882-40e3-85b0-da8b10ddbc82", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "from bpd.sample import sample_ellip_prior\n", + "from bpd.shear import scalar_shear_transformation, shear_transformation\n", + "\n", + "from bpd.shear import (\n", + " inv_shear_func1,\n", + " inv_shear_func2,\n", + " inv_shear_transformation,\n", + ")\n", + "\n", + "eta_inv_fnc1 = lambda eta: eta2g(eta)[0]\n", + "eta_inv_fnc2 = lambda eta: eta2g(eta)[1]\n", + "\n", + "grad_fnc1 = grad(eta_inv_fnc1)\n", + "grad_fnc2 = grad(eta_inv_fnc2)\n", + "\n", + "\n", + "_grad_shear_fnc1 = vmap(\n", + " vmap(grad(inv_shear_func1), in_axes=(0, None)), in_axes=(0, None)\n", + ")\n", + "_grad_shear_fnc2 = vmap(\n", + " vmap(grad(inv_shear_func2), in_axes=(0, None)), in_axes=(0, None)\n", + ")\n", + "\n", + "# already vmapped once\n", + "_inv_shear_trans = vmap(inv_shear_transformation, in_axes=(0, None))" + ] + }, + { + "cell_type": "code", + "execution_count": 208, + "id": "7ffc0732-6a28-407a-9d0e-5e8d31aa1ebf", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "\n", + "def eta2g(eta: Array):\n", + " assert eta.shape == (2,)\n", + " eta1 = eta[0]\n", + " eta2 = eta[1]\n", + " abseta = jnp.sqrt(eta1**2 + eta2**2)\n", + " g1 = eta1 * jnp.tanh(0.5 * abseta) / abseta\n", + " g2 = eta2 * jnp.tanh(0.5 * abseta) / abseta\n", + " return jnp.array([g1, g2])\n", + "\n", + "\n", + "def g2eta(g: Array):\n", + " assert g.shape == (2,)\n", + " g1 = g[0]\n", + " g2 = g[1]\n", + " absg = jnp.sqrt(g1**2 + g2**2)\n", + " eta1 = g1 * jnp.arctanh(absg) * 2 / absg\n", + " eta2 = g2 * jnp.arctanh(absg) * 2 / absg\n", + " return jnp.array([eta1, eta2])\n", + "\n", + "\n", + "def sample_noisy_eta(rng_key, *, g, sigma_e: float, sigma_m: float, n: int = 1):\n", + " k1, k2 = random.split(rng_key)\n", + " es = sample_ellip_prior(k1, sigma_e, n)\n", + " essh = shear_transformation(es, g)\n", + " etas = vmap(g2eta)(essh)\n", + " noisy_etas = etas.reshape(n, 2) + random.normal(k2, shape=(n, 2)) * sigma_m\n", + " return noisy_etas, etas\n", + "\n", + "\n", + "def eta_target(eta, *, data, sigma_e: float, sigma_m: float):\n", + " neta = data\n", + " llike = stats.norm.logpdf(neta, loc=eta, scale=sigma_m).sum()\n", + "\n", + " e1e2 = eta2g(eta)\n", + " lprior1 = jnp.log(ellip_prior_e1e2(e1e2, sigma_e))\n", + "\n", + " grad1 = grad_fnc1(eta)\n", + " grad2 = grad_fnc2(eta)\n", + " prior2 = jnp.abs(grad1[..., 0] * grad2[..., 1] - grad1[..., 1] * grad2[..., 0])\n", + " lprior2 = jnp.log(prior2)\n", + "\n", + " return llike + lprior1 + lprior2\n", + "\n", + "def ellip_prior_e1e2_calibrated(e1e2, *, sigma, m , \n", + " c=0.0,\n", + " ):\n", + " x = (e1e2 - c) / (1+m)\n", + " return (1+m)**-1 * ellip_prior_e1e2(x, sigma=sigma)\n", + "\n", + "\n", + "\n", + "def shear_eta_target_new(params, *, data, sigma_e_int: float,):\n", + " assert data.ndim == 3 and data.shape[2] == 2\n", + " etas = data\n", + "\n", + " g = params['g']\n", + " sigma_e = params['sigma_e']\n", + " m = params['m']\n", + "\n", + " # P(eta' | alpha, g) = P(eps | alpha) * (del eps' / del eta') * (del eps / del eps')\n", + " # first jacobian on eta cancels between num and denom so we ignore it.\n", + " eps_sheared = vmap(vmap(eta2g))(etas)\n", + " eps = _inv_shear_trans(eps_sheared, g)\n", + " num1 = jnp.log(ellip_prior_e1e2_calibrated(eps, sigma=sigma_e, m=m))\n", + "\n", + " grad_eps1 = _grad_shear_fnc1(eps_sheared, g)\n", + " grad_eps2 = _grad_shear_fnc2(eps_sheared, g)\n", + " jac = jnp.abs(\n", + " grad_eps1[..., 0] * grad_eps2[..., 1] - grad_eps1[..., 1] * grad_eps2[..., 0]\n", + " )\n", + " num2 = jnp.log(jac)\n", + "\n", + " num = num1 + num2\n", + "\n", + " # now denom P0(eta') = P0(eps') * (del eps' / del eta')\n", + " denom = jnp.log(ellip_prior_e1e2(eps_sheared, sigma_e_int))\n", + "\n", + " # ratio\n", + " ratio = jsp.special.logsumexp(num - denom, axis=-1)\n", + " loglike = ratio.sum()\n", + "\n", + " # prior on shear\n", + " g_mag = jnp.sqrt(g[0] ** 2 + g[1] ** 2)\n", + " logprior_g = uniform_logpdf(g_mag, 0.0, 1.0) + jnp.log(1 / (2 * jnp.pi))\n", + "\n", + " # prior on other\n", + " logprior_m = stats.norm.logpdf(m, loc=0.0, scale=0.1)\n", + " # logprior_m = uniform_logpdf(m, -0.9, 0.9)\n", + " logprior_sigma = uniform_logpdf(sigma_e, 1e-4, 1.0)\n", + "\n", + " \n", + " return loglike + logprior_g+ logprior_m + logprior_sigma" + ] + }, + { + "cell_type": "code", + "execution_count": 209, + "id": "368760e7-f292-4000-a220-0116b461e5cf", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [], + "source": [ + "# # use a modified version of BA2014 distribution for true prior, add m,c which are inferred jointly\n", + "# # with shear\n", + "\n", + "\n", + "\n", + "# def true_ellip_logprior(e_post, g, *, sigma_e: float, \n", + "# m:float,\n", + "# # c:float\n", + "# ):\n", + "# \"\"\"Implementation of GB's true prior on interim posterior samples of ellipticities.\"\"\"\n", + "\n", + "# # jacobian of inverse shear transformation\n", + "# grad1 = _grad_fnc1(e_post, g)\n", + "# grad2 = _grad_fnc2(e_post, g)\n", + "# absjacdet = jnp.abs(grad1[..., 0] * grad2[..., 1] - grad1[..., 1] * grad2[..., 0])\n", + "\n", + "# # true prior on unsheared ellipticity\n", + "# e_post_unsheared = _inv_shear_trans(e_post, g)\n", + "# prior_val = ellip_prior_e1e2_calibrated(e_post_unsheared, sigma=sigma_e, m=m, \n", + "# # c=c\n", + "# )\n", + "\n", + "# return jnp.log(prior_val) + jnp.log(absjacdet)\n", + "\n", + "# def shear_loglikelihood(\n", + "# g,\n", + "# post_params,\n", + "# *,\n", + "# logprior,\n", + "# interim_logprior\n", + "# ):\n", + "# \"\"\"Shear Likelihood implementation of Schneider et al. 2014.\"\"\"\n", + "# num = logprior(post_params, g)\n", + "# denom = interim_logprior(post_params)\n", + "# ratio = jsp.special.logsumexp(num - denom, axis=-1)\n", + "# return ratio.sum()\n", + "\n", + "# def logtarget(\n", + "# params,\n", + "# data,\n", + "# *,\n", + "# sigma_e_int: float,\n", + "# ):\n", + "# g = params['g']\n", + "# sigma_e = params['sigma_e']\n", + "# m = params['m']\n", + "# # c = params['c']\n", + "\n", + "# _logprior = lambda e, g: true_ellip_logprior(e, g, sigma_e=sigma_e, m=m, \n", + "# # c=c\n", + "# )\n", + "# _interim_logprior = lambda e: jnp.log(ellip_prior_e1e2(e, sigma=sigma_e_int))\n", + "\n", + "# loglike = shear_loglikelihood(g, e1e2, logprior=_logprior, interim_logprior=_interim_logprior)\n", + "\n", + "# g_mag = jnp.sqrt(g[0] ** 2 + g[1] ** 2)\n", + "# logprior_g = uniform_logpdf(g_mag, 0.0, 1.0) + jnp.log(1 / (2 * jnp.pi))\n", + "# # logprior_m = uniform_logpdf(m, -0.5, 0.5)\n", + "# logprior_m = stats.norm.logpdf(m, loc=0.0, scale=0.1)\n", + "# # logprior_c = uniform_logpdf(m, -0.5, 0.5)\n", + "# logprior_sigma = uniform_logpdf(sigma_e, 1e-4, 1.0)\n", + "\n", + "# logprior = logprior_g + logprior_m + logprior_sigma #+ logprior_c\n", + "\n", + "# return loglike + logprior" + ] + }, + { + "cell_type": "code", + "execution_count": 210, + "id": "29cec731-0961-43ec-becc-2ccd2601e89a", + "metadata": {}, + "outputs": [], + "source": [ + "sigma_e=0.02\n", + "sigma_m=0.001\n", + "n_gals=1000\n", + "sigma_e_int=0.03" + ] + }, + { + "cell_type": "code", + "execution_count": 211, + "id": "6b2e9be0-244f-44a4-9f6e-7eaaa31a9899", + "metadata": {}, + "outputs": [], + "source": [ + "k = random.key(42)\n", + "k1, k2, k3 = random.split(k, 3)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 212, + "id": "ecfc51eb-56ba-4821-89d4-a97c02f9808d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1000, 2)" + ] + }, + "execution_count": 212, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "netas, etas = sample_noisy_eta(\n", + " k1, g=jnp.array([0.02,0.0]), sigma_e=sigma_e, sigma_m=sigma_m, n=n_gals)\n", + "etas.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 213, + "id": "37397c84-0a13-428c-96c3-42689f14014e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1000, 300, 2)" + ] + }, + "execution_count": 213, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "# run phase 1\n", + "target1 = partial(eta_target, sigma_e=sigma_e_int, sigma_m=sigma_m)\n", + "pipe1 = partial(\n", + " run_inference_nuts,\n", + " logtarget=target1,\n", + " n_samples=300,\n", + " initial_step_size=0.01,\n", + " max_num_doublings=2,\n", + ")\n", + "pipe1 = vmap(jit(pipe1))\n", + "k2s = random.split(k2, n_gals)\n", + "eta_samples = pipe1(k2s, netas, etas)\n", + "eta_samples.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 214, + "id": "bc8b3cef-1e6b-4b40-8611-32182ac07292", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([ 0.33187681, 0.24890761, 0.74672282, 1.65938404, 2.24016845,\n", + " 4.14846009, 4.8951829 , 6.30565933, 8.46285858, 9.2095814 ,\n", + " 10.03927341, 8.46285858, 10.53708863, 5.80784412, 3.73361408,\n", + " 2.98689126, 1.49344563, 0.82969202, 0.58078441, 0.1659384 ,\n", + " 0.0829692 ]),\n", + " array([-8.43455551e-02, -7.22928900e-02, -6.02402249e-02, -4.81875599e-02,\n", + " -3.61348948e-02, -2.40822297e-02, -1.20295647e-02, 2.31004179e-05,\n", + " 1.20757655e-02, 2.41284306e-02, 3.61810956e-02, 4.82337607e-02,\n", + " 6.02864258e-02, 7.23390908e-02, 8.43917559e-02, 9.64444210e-02,\n", + " 1.08497086e-01, 1.20549751e-01, 1.32602416e-01, 1.44655081e-01,\n", + " 1.56707746e-01, 1.68760411e-01]),\n", + " [])" + ] + }, + "execution_count": 214, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "_,bins,_= plt.hist(eta_samples[...,0].ravel(),bins=21,histtype='step',density=True)\n", + "plt.hist(netas[...,0].ravel(),bins=bins,histtype='step',density=True)\n", + "plt.hist(etas[...,0].ravel(),bins=bins,histtype='step',density=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 215, + "id": "fed4fb4e-f46f-4247-affa-9d0ef85b5544", + "metadata": {}, + "outputs": [], + "source": [ + "# scatter plot " + ] + }, + { + "cell_type": "code", + "execution_count": 216, + "id": "8a236e16-f98b-43da-9f1d-c62c445afc5d", + "metadata": {}, + "outputs": [], + "source": [ + "# run phase 2\n", + "target2 = partial(shear_eta_target_new, sigma_e_int=sigma_e_int)\n", + "pipe2 = partial(\n", + " run_inference_nuts,\n", + " logtarget=target2,\n", + " n_samples=500,\n", + " n_warmup_steps=500,\n", + " initial_step_size=0.01,\n", + " max_num_doublings=5,\n", + ")\n", + "pipe2 = jit(pipe2)" + ] + }, + { + "cell_type": "code", + "execution_count": 217, + "id": "03ec4d00-7d83-4a2a-bdc9-cb81f66d4f7f", + "metadata": {}, + "outputs": [], + "source": [ + "samples = pipe2(k3, eta_samples, {'g':jnp.array([0.02,0.0]), 'sigma_e':sigma_e, 'm':0.0})" + ] + }, + { + "cell_type": "code", + "execution_count": 218, + "id": "c51fef5c-fb43-42eb-b621-86ebfff91660", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['g', 'm', 'sigma_e'])" + ] + }, + "execution_count": 218, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "samples.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 219, + "id": "dd98c3f8-f199-43c0-b7a1-bbaa57f54666", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(500, 2)" + ] + }, + "execution_count": 219, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "samples['g'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 220, + "id": "96e2aaa3-d898-444a-8ece-2597ab7d88dd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 220, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(samples['g'][:, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": 221, + "id": "7dad9971-83e3-4f0f-9965-c9dd3101c59e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 221, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(samples['m'])" + ] + }, + { + "cell_type": "code", + "execution_count": 222, + "id": "d13fdad8-2e37-4be6-888b-944a26b93a40", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 222, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(samples['sigma_e'])" + ] + }, + { + "cell_type": "code", + "execution_count": 223, + "id": "d92e8de5-991c-4cdf-b432-c3dcff282bb5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 223, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(samples['m'], samples['sigma_e'])" + ] + }, + { + "cell_type": "code", + "execution_count": 224, + "id": "9a7af5a3-a5e6-40e5-980b-878df5de6ee0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 224, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(samples['g'][:,0], samples['m'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3dc6befe-b4f2-4770-ac66-1869e413016f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "efb6c9e8-ce67-45d3-b4bc-4ec290407b12", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dc179f7f-0269-4135-8bc3-64fec08afd0f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fab04424-9f07-4d63-ae12-0fae13e24f10", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bpd_uv", + "language": "python", + "name": "bpd_uv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 933b3051463b6a9c9f9e83e892b95012c50a4efc Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Thu, 5 Feb 2026 13:08:17 -0800 Subject: [PATCH 05/20] rhat of noisy galaxies eems ok its just initialization --- experiments/exp24/noisy.ipynb | 1175 +++++++++++++++++++++++++++++++++ 1 file changed, 1175 insertions(+) create mode 100644 experiments/exp24/noisy.ipynb diff --git a/experiments/exp24/noisy.ipynb b/experiments/exp24/noisy.ipynb new file mode 100644 index 00000000..fc3f6c92 --- /dev/null +++ b/experiments/exp24/noisy.ipynb @@ -0,0 +1,1175 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "id": "fa881b8f-cb69-4c2f-b929-30084a712c7c", + "metadata": {}, + "outputs": [], + "source": [ + "from functools import partial\n", + "\n", + "import jax.numpy as jnp\n", + "import typer\n", + "from jax import Array, jit, random, vmap\n", + "from jax._src.prng import PRNGKeyArray\n", + "\n", + "from bpd import DATA_DIR\n", + "from bpd.draw import draw_exponential\n", + "from bpd.io import save_dataset\n", + "from bpd.likelihood import gaussian_image_loglikelihood\n", + "from bpd.pipelines import pipeline_interim_samples_one_galaxy\n", + "from bpd.prior import interim_gprops_logprior\n", + "from bpd.sample import (\n", + " get_target_images,\n", + " get_true_params_from_galaxy_params,\n", + " sample_galaxy_params_skew,\n", + ")\n", + "from bpd.utils import DEFAULT_HYPERPARAMS\n", + "import matplotlib.pyplot as plt \n", + "\n", + "from bpd.chains import run_inference_nuts\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "ab3095e1-8c97-441e-a915-d6da5226fabe", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np \n", + "from tqdm import tqdm\n", + "from blackjax.diagnostics import potential_scale_reduction\n", + "\n", + "def get_rhat_all(samples: dict[str, np.ndarray]) -> dict[str, np.ndarray]:\n", + " \"\"\"Obtain r-hats for all chains and parameters.\"\"\"\n", + " print(\"INFO: Computing R-hats...\")\n", + " n_gals, n_chains_per_gal, n_samples = samples[\"lf\"].shape\n", + "\n", + " rhat_dict = {}\n", + " for p in samples:\n", + " rhat = []\n", + " for ii in tqdm(range(n_gals)):\n", + " chains = samples[p][ii]\n", + " assert chains.shape == (n_chains_per_gal, n_samples)\n", + " rhat.append(potential_scale_reduction(chains))\n", + " rhat_dict[p] = np.array(rhat)\n", + "\n", + " return rhat_dict\n", + "\n", + "def _init_fnc(key: PRNGKeyArray, data: Array, true_params: dict):\n", + " image = data\n", + " assert image.ndim == 2\n", + " assert image.shape[0] == image.shape[1]\n", + " flux = image.sum()\n", + "\n", + " k1, k2, k3 = random.split(key, 3)\n", + "\n", + " tlhlr = true_params[\"lhlr\"]\n", + " lhlr = random.uniform(k1, shape=(), minval=tlhlr - 0.015, maxval=tlhlr + 0.015)\n", + "\n", + " te1 = true_params[\"e1\"]\n", + " e1 = random.uniform(k2, shape=(), minval=te1 - 0.1, maxval=te1 + 0.1)\n", + "\n", + " te2 = true_params[\"e2\"]\n", + " e2 = random.uniform(k3, shape=(), minval=te2 - 0.1, maxval=te2 + 0.1)\n", + " return {\n", + " \"lf\": jnp.log10(flux),\n", + " \"lhlr\": lhlr,\n", + " \"e1\": e1,\n", + " \"e2\": e2,\n", + " \"dx\": 0.0,\n", + " \"dy\": 0.0,\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ea9a3722-e08a-447e-aadf-762252bdbfea", + "metadata": {}, + "outputs": [], + "source": [ + "seed = 42 \n", + "\n", + "n_samples: int = 500\n", + "n_gals: int = 500\n", + "sigma_e_int: float = 0.3\n", + "slen: int = 63\n", + "fft_size: int = 256\n", + "background: float = 1.0\n", + "initial_step_size: float = 0.1" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "65dc9def-a96c-47ae-b07e-7f721e889c48", + "metadata": {}, + "outputs": [], + "source": [ + "rng_key = random.key(seed)\n", + "pkey, nkey, gkey = random.split(rng_key, 3)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "7bd6dc46-3a69-4c21-8d35-73bff7114a0f", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "outputs": [], + "source": [ + "# galaxy parameters from prior\n", + "k1, k2 = random.split(pkey)\n", + "galaxy_params = sample_galaxy_params_skew(k1, n=n_gals, **DEFAULT_HYPERPARAMS)\n", + "assert galaxy_params[\"x\"].shape == (n_gals,)\n", + "assert galaxy_params[\"e1\"].shape == (n_gals,)\n", + "\n", + "# replace fluxes with only low SNR ones\n", + "galaxy_params['lf'] = random.uniform(k2, minval=2.0, maxval=2.2, shape=(n_gals,))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "70064d82-569f-4f5b-97d2-1df8ef1ef973", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([32., 25., 27., 26., 23., 24., 22., 27., 15., 24., 27., 19., 24.,\n", + " 22., 24., 20., 26., 19., 23., 24., 27.]),\n", + " array([2.00030311, 2.00981055, 2.01931799, 2.02882542, 2.03833286,\n", + " 2.0478403 , 2.05734773, 2.06685517, 2.07636261, 2.08587004,\n", + " 2.09537748, 2.10488491, 2.11439235, 2.12389979, 2.13340722,\n", + " 2.14291466, 2.1524221 , 2.16192953, 2.17143697, 2.18094441,\n", + " 2.19045184, 2.19995928]),\n", + " )" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(galaxy_params['lf'], bins=21)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b694d452-8162-4eab-b9f6-4a7e62beef97", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "outputs": [], + "source": [ + "from bpd.draw import draw_exponential_galsim\n", + "\n", + "\n", + "# now get corresponding target images\n", + "draw_params = {**galaxy_params}\n", + "draw_params[\"f\"] = 10 ** draw_params.pop(\"lf\")\n", + "draw_params[\"hlr\"] = 10 ** draw_params.pop(\"lhlr\")\n", + "# get noiseless images \n", + "_draw_galsim = partial(draw_exponential_galsim, slen=63)\n", + "noiseless = []\n", + "\n", + "for ii in range(n_gals):\n", + " _params = {k: v[ii] for k, v in draw_params.items()}\n", + " noiseless.append(_draw_galsim(**_params))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "ab795970-66f5-4ad6-ae1a-686c7d3e5d9b", + "metadata": {}, + "outputs": [], + "source": [ + "from bpd.utils import get_snr\n", + "snrs = [] \n", + "for ii in range(500):\n", + " snrs.append(get_snr(noiseless[ii], background=background))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "0b9e4903-987e-4c4c-a2af-23e769c05f54", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([25., 61., 70., 65., 56., 53., 60., 45., 44., 21.]),\n", + " array([6.59578133, 6.91471958, 7.23365831, 7.55259657, 7.8715353 ,\n", + " 8.19047356, 8.50941181, 8.82835007, 9.14728928, 9.46622753,\n", + " 9.78516579]),\n", + " )" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(snrs)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "694aa28d-93a3-425d-97b3-49feac4bf4d9", + "metadata": {}, + "outputs": [], + "source": [ + "# get target iamges\n", + "# now get corresponding target images\n", + "draw_params = {**galaxy_params}\n", + "draw_params[\"f\"] = 10 ** draw_params.pop(\"lf\")\n", + "draw_params[\"hlr\"] = 10 ** draw_params.pop(\"lhlr\")\n", + "target_images = get_target_images(\n", + " nkey, draw_params, background=background, slen=slen, draw_type=\"exponential\"\n", + ")\n", + "assert target_images.shape == (n_gals, slen, slen)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "aadf4103-ea26-48e0-9da7-47a4678e3f84", + "metadata": {}, + "outputs": [], + "source": [ + "# try fitting a single galaxy below SNR < 10\n", + "\n", + "# setup target density\n", + "draw_fnc = partial(draw_exponential, slen=slen, fft_size=fft_size)\n", + "_logprior = partial(\n", + " interim_gprops_logprior, sigma_e=sigma_e_int, free_flux_hlr=True, free_dxdy=True\n", + ")\n", + "_loglikelihood = partial(\n", + " gaussian_image_loglikelihood,\n", + " draw_fnc=draw_fnc,\n", + " background=background,\n", + " free_flux_hlr=True,\n", + " free_dxdy=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "2b8ea260-f08d-4bf7-8af5-ef31ff335b85", + "metadata": {}, + "outputs": [], + "source": [ + "# interim samples are on 'sheared ellipticity'\n", + "true_params = vmap(get_true_params_from_galaxy_params)(galaxy_params)\n", + "true_params[\"dx\"] = jnp.zeros_like(true_params[\"x\"])\n", + "true_params[\"dy\"] = jnp.zeros_like(true_params[\"y\"])\n", + "fixed_params = {\"x\": true_params.pop(\"x\"), \"y\": true_params.pop(\"y\")}" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "6cfd7046-70ba-4e85-b0a5-f45e95e1cd1f", + "metadata": {}, + "outputs": [], + "source": [ + "def logtarget_images(\n", + " params,\n", + " data: Array,\n", + " *,\n", + " fixed_params,\n", + " logprior_fnc,\n", + " loglikelihood_fnc,\n", + "):\n", + " return logprior_fnc(params) + loglikelihood_fnc(params, data, fixed_params)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "c7c69534-e2b1-4452-a6c8-3d8673ebe3fa", + "metadata": {}, + "outputs": [], + "source": [ + "# declare logtarget \n", + "_logtarget = partial(\n", + " logtarget_images,\n", + " logprior_fnc=_logprior,\n", + " loglikelihood_fnc=_loglikelihood,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "0d390cb7-ffe7-437d-b6fe-6ebe21ae3abb", + "metadata": {}, + "outputs": [], + "source": [ + "# pipeline very simple test\n", + "def pipe(rng_key, target_image, init_positions,fixed_params, *, logtarget):\n", + " _logtarget = partial(logtarget, fixed_params=fixed_params)\n", + " return run_inference_nuts(\n", + " rng_key, \n", + " data=target_image, \n", + " init_positions=init_positions, \n", + " logtarget=_logtarget, \n", + " is_mass_matrix_diagonal=True,\n", + " n_samples=400,\n", + " n_warmup_steps=500,\n", + " max_num_doublings=5,\n", + " initial_step_size=0.01,)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "6d39ffd1-0120-4c29-bc6c-a3e2fbb5447f", + "metadata": {}, + "outputs": [], + "source": [ + "_pipe = jit(partial(pipe, logtarget=_logtarget))" + ] + }, + { + "cell_type": "markdown", + "id": "1f27c0d8-ca2a-4c42-952f-267cb731cee1", + "metadata": {}, + "source": [ + "# 1 galaxy and 1 chain" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "890029b5-7e4b-4f75-aa2c-331e070098a8", + "metadata": {}, + "outputs": [], + "source": [ + "idx = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "8d1d6853-686e-48b4-9efe-c49de9467214", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'e1': Array(0.07123611, dtype=float64),\n", + " 'e2': Array(-0.3017523, dtype=float64),\n", + " 'lf': Array(2.11417483, dtype=float64),\n", + " 'lhlr': Array(-0.37811446, dtype=float64),\n", + " 'dx': Array(0., dtype=float64),\n", + " 'dy': Array(0., dtype=float64)}" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# test on one image\n", + "\n", + "_init_position = {k:v[idx] for k,v in true_params.items()}\n", + "_fixed_position = {k:v[idx] for k,v in fixed_params.items()}\n", + "_init_position" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "e3150879-9a33-4ef0-ad31-b981ee68bd8e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(8.191593, dtype=float32)" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "snrs[idx]" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "5867c40f-6535-4606-a2cd-63a186fbf5b3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(2.20525114, dtype=float64)" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "jnp.log10(target_images[idx].sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "7d1fcb8e-b1be-4aa0-b794-125a3ebebff9", + "metadata": {}, + "outputs": [], + "source": [ + "# try deviation from truth\n", + "_init_position['lf']= 2.2\n", + "_init_position['e1'] = 0.12\n", + "_init_position['e2'] = -0.25" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "d9de46eb-b537-41de-9094-710b0b5a3b4a", + "metadata": {}, + "outputs": [], + "source": [ + "samples = _pipe(random.key(40), target_images[idx], _init_position, _fixed_position)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "a3cae915-9f38-4164-bbeb-8e71eabd5152", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiwAAAGdCAYAAAAxCSikAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAA3MRJREFUeJzsvXmcHVWZPv5U3a2XdHf2jYSEsIU1bCEkCAmSYRGR/FR0GGcARdwSB0RRM46gyEyAAbeBiaJfjCjIpoAiRtlREwhBAgQkLCYkJOkQsnSn97vU7497T9V7Tp1T2617+97u83w+/enue2s5VXXqnPc87/O+r2FZlgUNDQ0NDQ0NjRqGOdgN0NDQ0NDQ0NDwgzZYNDQ0NDQ0NGoe2mDR0NDQ0NDQqHlog0VDQ0NDQ0Oj5qENFg0NDQ0NDY2ahzZYNDQ0NDQ0NGoe2mDR0NDQ0NDQqHlog0VDQ0NDQ0Oj5pEc7AbEhUKhgG3btqGlpQWGYQx2czQ0NDQ0NDQCwLIs7Nu3D5MnT4ZpqnmUIWOwbNu2DVOnTh3sZmhoaGhoaGhEwJYtWzBlyhTl90PGYGlpaQFQvODW1tZBbo2GhoaGhoZGEHR2dmLq1Kn2PK7CkDFYmBuotbVVGywaGhoaGhp1Bj85hxbdamhoaGhoaNQ8tMGioaGhoaGhUfPQBouGhoaGhoZGzUMbLBoaGhoaGho1D22waGhoaGhoaNQ8tMGioaGhoaGhUfPQBouGhoaGhoZGzUMbLBoaGhoaGho1D22waGhoaGhoaNQ8tMGioaGhoaGhUfPQBouGhoaGhoZGzUMbLBoaGhoaGho1D22waGhoDCpWvfUe7nluy2A3Q0NDo8YxZKo1a2ho1Cf+5SfPAgBmTmrB0VNGDm5jNDQ0ahaaYdHQ0KgJbN3TO9hN0NDQqGFog0VDQ6MmYBiD3QINDY1ahjZYNDQ0NDQ0NGoe2mDR0NDQ0NDQqHlog0VDQ6NGoH1CGhoaaoQyWJYtW4bZs2ejpaUF48ePx6JFi7BhwwbPfX7yk5/glFNOwahRozBq1CgsXLgQa9as4baxLAtXXXUVJk2ahMbGRixcuBBvvPFG+KvR0NCoW2gNi4aGhhdCGSxPPfUUFi9ejGeeeQaPPPIIstkszjjjDHR3dyv3efLJJ3HBBRfgiSeewOrVqzF16lScccYZ2Lp1q73NDTfcgB/+8If40Y9+hGeffRbNzc0488wz0dfXF/3KNDQ0NDQ0NIYMDMuyrKg779y5E+PHj8dTTz2FU089NdA++Xweo0aNws0334wLL7wQlmVh8uTJ+PKXv4yvfOUrAICOjg5MmDABK1aswD//8z8HOm5nZyfa2trQ0dGB1tbWqJekoaFRZUz/+u8BAD/+t+Nx5hETB7k1Ghoa1UbQ+bssDUtHRwcAYPTo0YH36enpQTabtffZuHEj2tvbsXDhQnubtrY2zJkzB6tXr1Yep7+/H52dndyPhoZG/UJ7hDQ0NLwQ2WApFAq4/PLLcfLJJ+PII48MvN/XvvY1TJ482TZQ2tvbAQATJkzgtpswYYL9nQzLli1DW1ub/TN16tQIV6GhoaGhoaFRD4hssCxevBjr16/HXXfdFXif6667DnfddRfuv/9+NDQ0RD01AGDp0qXo6Oiwf7Zs0bVINDQ0NDQ0hioi1RJasmQJHnroITz99NOYMmVKoH1uvPFGXHfddXj00Udx9NFH259PnFj0We/YsQOTJk2yP9+xYweOOeYY5fEymQwymUyU5mtoaNQgDB0mpKGh4YFQDItlWViyZAnuv/9+PP744zjggAMC7XfDDTfgO9/5DlauXIkTTjiB++6AAw7AxIkT8dhjj9mfdXZ24tlnn8XcuXPDNE9DQ0NDQ0NjiCIUw7J48WLceeedePDBB9HS0mJrTNra2tDY2AgAuPDCC7Hffvth2bJlAIDrr78eV111Fe68805Mnz7d3mfEiBEYMWIEDMPA5ZdfjmuvvRYHH3wwDjjgAHzzm9/E5MmTsWjRohgvVUNDo5ah+RUNDQ0vhGJYli9fjo6ODixYsACTJk2yf+6++257m82bN2P79u3cPgMDA/joRz/K7XPjjTfa23z1q1/FF7/4RXzmM5/B7Nmz0dXVhZUrV5atc9HQiBPPbdqNHz72BnL5wmA3ZciAZlXQHiENDQ0vhGJYgqRsefLJJ7n/N23a5LuPYRi45pprcM0114RpjoZGVXH+j4ph9mNGpPGJOdMGuTVDA9GzQGloaAw36FpCGhoh8ea7XYPdhCEDba9oaGgEhTZYNDRCQrMC8aGgXUIaGhoBoQ0WDY2QKKOahYYAfSs1NDSCQhssGhohkdezbGywtFNIQ0MjILTBoqEREgU9x8YGavsZOrBZQ0PDA9pg0dAICe0Sig/6VmpoaASFNlg0NEKioNOwxAbOJaQJFg0NDQ9og0VDIyQKmhaIDZa2VzQ0NAJCGywaGiGhNSzxQRt/GhoaQaENFg2NkNAalvig76SGhkZQaINFQyMkNCsQHziXkM4cp6Gh4QFtsGhohIR2CcUHzVZpaGgEhTZYNDRCQieOiw/6VmpoaASFNlg0NEJCswLxgd5J7RDS0NDwgjZYNDRCQtsr8UHrgTQ0NIJCGywaGiGR1yKW2KDtFQ0NjaDQBouGRkhoeyU+0Ey3+rZqaGh4QRssGhohoTUs8YHeSn1fNTQ0vKANFg2NkNDTanzgDJbBa4aGhkYdQBssGhohoTUs8YErfqhvq4aGhge0waKhERI6siU+FDh7Rd9XDQ0NNbTBoqEREtpeiQ9Ut6Lvq4aGhhe0waKhERKaYYkPvOh28NqhoaFR+9AGi4ZGSGiDJT5o0a2GhkZQaINFQyMktOY2PmjdioaGRlBog0VDIyR0vpD4oPOwaGhoBIU2WDQ0QkIzLPGButf0bR0+2N7Ri2/c/zJe37FvsJuiUUfQBouGRkhoDUt8oHdS39bhg6/e9xLueHYzzv7Bnwe7KRp1BG2waGiEREFTLLGBN1L0fR0uePPdLgA6CaNGOGiDRUMjJPQYGyd0HpbhiJFN6cFugkYdQhssGhohoV1C8aGgw5qHJUY1pQa7CRp1CG2waGiEhGZY4oNOHDc8MUozLBoREMpgWbZsGWbPno2WlhaMHz8eixYtwoYNGzz3eeWVV/CRj3wE06dPh2EY+P73v+/a5lvf+hYMw+B+Zs6cGepCNDSqBR1+Gx9oHhadk2X4YCRhWPqy+UFsiUY9IZTB8tRTT2Hx4sV45pln8MgjjyCbzeKMM85Ad3e3cp+enh7MmDED1113HSZOnKjc7ogjjsD27dvtn7/85S9hmqahUTVol1B8KBScv/VtHT4YkUnaf+/uHhjElmjUE5L+mzhYuXIl9/+KFSswfvx4PP/88zj11FOl+8yePRuzZ88GAHz9619XNySZ9DRoNDRqBdolFB80qzI8QZ/67u4BTB7ZOGht0agflKVh6ejoAACMHj267Ia88cYbmDx5MmbMmIFPfOIT2Lx5s+f2/f396Ozs5H4qDR2CpwFohiVO6FpCwxN0LN2lGRaNgIhssBQKBVx++eU4+eSTceSRR5bViDlz5mDFihVYuXIlli9fjo0bN+KUU07Bvn3qLIjLli1DW1ub/TN16tSy2uCFfMHCL555G7O+/Ses3bS7YufRqA9oeyU+6NT8wxPU6N/d3T+ILdGoJ4RyCVEsXrwY69evj0VrcvbZZ9t/H3300ZgzZw6mTZuGe+65B5dccol0n6VLl+KKK66w/+/s7KyI0XLifz2Kd/c5L9SX7lmHP3/1/bGfR6N+oBmW+KBdQsMT9BXa1aUZFo1giGSwLFmyBA899BCefvppTJkyJe42YeTIkTjkkEPw5ptvKrfJZDLIZDKxn1tEwjS4/9MJHQk+HEFX/9pgiQ86rHl4gmdYtMGiEQyhZl/LsrBkyRLcf//9ePzxx3HAAQdUpFFdXV146623MGnSpIocPwwa0wnu/4ZUQrGlxlAGnUxpZItGeeCLH2qLZbhAGywaURCKYVm8eDHuvPNOPPjgg2hpaUF7ezsAoK2tDY2NRZX3hRdeiP322w/Lli0DAAwMDODVV1+1/966dSvWrVuHESNG4KCDDgIAfOUrX8G5556LadOmYdu2bbj66quRSCRwwQUXxHahUdGc5m+RNliGJ/gifXpijQu6+OHwRJ4Y/Vp0qxEUoQyW5cuXAwAWLFjAff6zn/0MF198MQBg8+bNME2HuNm2bRuOPfZY+/8bb7wRN954I+bPn48nn3wSAPDOO+/gggsuwK5duzBu3Di8733vwzPPPINx48ZFuKR4ITIsmaR2CQ1HUCMlr2fW2KBdQsMT9H3q7s8NYks06gmhDJYgK0tmhDBMnz7dd7+77rorTDOqiibtEtIAzwTo6Pb4YHEuIY3hAs4VqB+8RkBousAHboNF37LhCM0EVAb6Vg5P8EUvdS/QCAY9+/qgMSVoWJKaYRmOKOgooYpA52EZnuDfp0FsyCBg575+nYQ0IrTB4oPmjKBh0QzLsIc2WOJDQbuEhiUKPMUybPD827sx+78exSU/f26wm1KX0LOvD9yiW82w1APyBQuf/NkaXL/ytViOx4c1D6MRtsLgbD99W4cN6Cs0nBYAP/vrJgDAkxt2Dm5D6hTaYPFBk+AS0gxLfWDTrm48sWEn7njm7ViOR/3sw2h8rTi4+6otlmGD4cqs6bGjPOjZ1wei6FajPsB8xHH5iofrirDi0GLmYYnhql3SRnl50AaLD0SX0DB6t+oatsES0wOzhrFIsJIYplKGYY/hKrrVWbLLgzZYfCCKbrV+oT7ABsS4Bgg+D4vuA3EhDlfby+904M13u2JqkUY1QJnP4fQ2aYalPESu1jxcIIY1a3ulPsAMlfgYFvnfGuWBu68RBvNdXf049+ZixfhN150TV7M0KozCMHUJ6fmjPGiGxQeihkWvrusDzFCJS8OiqzVXBuXey+0dfTG1pPaQzReGbGFALsPxMHqdhtO1VgLaYPGBaLAMp9VAPYMaKnG48ehj17WE4kPU4ofvdfXjotvW4E+v7rA/83rO//PH1/CDR9+I0MLBwwd/+Bcc951H8Pau7sFuSuwYrlW69fxRHrTB4gNRdKspvfoAHRDjMDB0VeEKIaLo9tqHXsVTr+/EDx9zjBDVc353Xx9ueeItfO/R19E7kI/Y0Opjw459AICV69sHuSXxg4u6G0ZCVD10lAdtsPigOS1qWHSXqwdQhiUOt5C4MtIrpXhQiCgO2tHZ7/pM9ZxzeefzgXx5s2OhYCFX5jHCwjCqerqqYPjmYRlOVxs/tMHiA7eGZZAaohEK1D0Qh5EpPnddCyQeWBEZFhmbEuQ5D+TKMzY+8qNVOPn6x9Gfqx+mphbBV2sePu+SHjbKgzZYfODOw6J7XD2ADgyxMCzCdKp1LPEgqqtNplepBsPywua92NHZj79v31fWcYY7qBtoOL1KolH9+Gs78PNVmwanMXUIbbD4oEm7hOoS1KCIxUeuGZaKIOpKW/Yeqp4zNVL6s/EwI/r5l4daqH5eCzm1vnrfy7j6t6/gnT09ntvd9peNWPjdp7Cjc+hGxQWBNlh8kDANpJPObaqBPq4RAHQwilt0C+gJKy5EdwnJPlMwLMSSKYdhsQbJjWFg6IlYoj73uPCt376Ck5Y9hj1VDhsXjbPOviwAYF9fznO/ax56FW++24XvPfJ6xdpWD9AGSwA0E7dQPTMsD67bit++uG2wm1EV5GPXsPDHGE6RDZVFtHwcYVxC2ZzzeX82+oPj60lFPowGeONyMNzsK1Ztwrv7+nH76niKowaFWEOJaaqCaquyMkt9GEEbLAFA3ULVerf+sbMLC/7nCdzz3JZYjtfVn8Nld63Dv//qBXT3e1vzQwG8SyjePCwAv2rXiI6oj0ZmnKgM02xMDMtguTGGfJTQMJqD6bX258L3S3MI9oUw0Kn5A6BxEBiWr/36JWza1YOv/volfGz21LKP10d8933ZPJozQ/vRV9wlNJxG2QoisksoFMNCNSzRDZa4WbvhjMEoelkoWPjML57HuJZMlc4oaYMlZ/uCMizmULReQ2Boz1oxgXcJVeece3uyyu/e6+rHo6/uwLmzJgc2PGhHHw50duxRQtolVBHwxQ+DPyeZwag0WLgoIbfo9s13uzB5ZINLYC9C15OKD4NR6uKVbZ149O87uM+qnWWXZ1icvhjYYBnmPpGhZ7B0dwOJhPvzRAJoaOC3U8E0gcZG+9+PHTYar/+j2NGTvT38vsK26OlRj2aGATQ1BdrW6hHa19trz5Kf+9EqvLKtEy++th+WfeSo4vfNzdy2W3d14b7n38EFJ+6P8a0NMLoH0DhQVJjTl/T1TTvxmRXP4tPvOwD/One6uyH0uH19gGTAt9HU5PDX/f1AzsP1FGbbxkbnTR0YALJqY45tm7cspPJZJPN5WPu6gbTkPjc0OH3F57gWGVCS+Rzy+/YBScW9yGSAZOnVymaLx1aBbpvLFe+FCuk0kEqF3zafLz47FVKp4vZhty0Uiv2yjG2Nnh40DvQhb5J31rKK74YKyaTDoFkWGrPF+2B1dQEZ4TknEpxLKNfRBXSPwLudfbhn7RYcNK4FX7pnHSaPbMBjXz3dc4wo9Ofsdwi9QvtCjCdhxoiGbJ97zFFsS8cIKYQxIvC2fu99hDGiYFlI57JIFPLI9Bvy64t5jOjZ04HGgT70pdKwjOK2xsCA97MLMUZw2yre+3R/sb8PJFO2S6g4nnQB3c2u7QEUx4gSkoW8d3vreYwIAmuIoKOjwwJgdRSHAvfPBz7A79DUJN8OsKz58/ltx45Vb3vCCfy206aptz38cH7bww9Xbrt15ARr2tcesqZ97aHitiecoD7u2LH8cefPV27bncpYOzp67U1fP+FU9XHF7vHRj3pv29XlbHvRRd7bvvuus+0XvuC97caNzrZf+Yr3tuvXW5ZlWff/7R3reydf4L3tmjXOcW+4wXPb9gf+YD+P//ynz3kf96GHnOP+7Gfe295zj7PtPfd4b/uznznbPvSQ97Y33+xs+8QT3tvecIOz7Zo13ttefbWz7fr13tt+5SvOths3em7782PPsW596q3itu++633ciy6yTr3hcWva1x6yZn7pPu9tP/pR64/rtzvvkte2IcaIPSfO47etwBgx7WsPWRvG7K/edto0/rgxjRFWUxO/7Qc+4H3fKAKOEWd9/2nr3iNP9962QmPEwk/dYveHVf+6xPu4IcYI64knnG1vvtlz24s/erX1xo5Oa9rXHrK+/IHLvY97zz12e3/1lRu9t63TMcKevzs6LC8Mc4KpdmFZVsWOTZnzhuTQ7AJxhx0PpwJtg4Uw9zjM881VwAdawddzWKCS41u9oC+CnmqYS1hgWEOk53R2dqKtrQ0d27ahtbXVvUEZLiF0d+Ou5zbj2799FacfNh43/8tx6m1jcgkd/e0/odMsUmWbrjuHo3AP++ZKe7u/f+es4h8C3XvYNx7mttm5rx+n3vAEAODRqz6A/UYW23zHkxtw7W/XAwAumjcNXz/7ML4hdeoSumftFnzj7ueRzOfx2yUn4+AJLe5tQ9C9m7ryWPC9PwMoUrh//MIcHDheckxAu4RCbPvbF7fia/e9jLyZwJfPPQqfnX9g8Z3wcQmd/L2/YuveXsByXEIPLjkZh4jPOZHAg6/twmV3rQMALDtzBi44cX/uHWL4+3+f4zlG7OkewLzrHgcA/N+/HY/Tjp2u3JZDxDFi+td/j4ZsH5aeNRMXzZvuuS2AunIJnfG9p7Bp6x4kCvmiO+7LC5TbAohljPjdi9vw1fte4lxCl586DZfPP0B93BhcQpZlwShdxz/fuhovbunAQDKFexafgo8sX4VkPof//uCh+NgJiuCKTAbT//OPAIBPnTQFV/3TQeo21OkYYc/fHR3y+buEoadhaW7mXyCv7UIc02pqRm+6AX3pRu996QCiwLudfbjuD6/hX+dOw3H7j5Juw4wVG2TA602TQVXWlsZG1zZWPmF/RiNocumM/fmft/Xi617XRgdzP2QynO81tm3T6UA+z0LBQjaRQjaRQq6xyf95+xzX6nUmpFwiiVxjwH6WSjmDgh+SScd4iXPbRCJ4fw+zrWmWvW2uocnuf3avNAzf49oMi2HY++ca5M+ZChq7kxmguZl/PxjE/i0cK28l7f2y4v5hxpMAYwRDX6ohWP8FeKMozm3DvPcBty1YwEAyBSCFnlSD//XFMEb0pDKu515IpYM/u4BjDwD7vb/2oVfxx1fb8dAXT0FbYwq96Ub0potGBBPd5hJJ9Aa5BwCMZCp4e+ttjAhyuNiONMTB4t/jIKT++Eo7fvPCVtxexRoStNU5RXhmX0xpy2sBNIokDveQGMmgM93GA3pbw7xaMjePKtqEbttfRvHDQcvDUrUzVQ900VStWyl1wVT45D/9y0Zs2d2LO5/dXDqdvC8GD2uOt331Bm2wBASj9OIYqFhHLbcQWxAwRrWgmMDpuF8JX/9ggc9KWv51iYfQBks8iHoXZc9UHdYcfmKQgZ5yuGccLReDYfz1DuKCjOmz6KVyeVgCJ44b3haLNlgCwrQNlvKPxV7Qakx6rHurJnBq8WfLGMxrDVziuFjus8CwDA3p16CD64tlim5Vz4QaF+UwLPnY+1QwDMU5ajASx5WTNDAu0D5O87AE7ZdGDJ1hIFfAC5v31ETxx7DQBktAmBKmIipYP6lGf7ENLcVgy60a66AD5/IF3PnsZry1s8v13Y7OPnz/0dexo7Mv9qykmmGpECK6hGSDrWoAjothof0oWwV2dChjMFLz9+XcDEu132Kqc46W6bb8Ntzx7Nv4//5vFb7+m5fKP1iVoQ2WgGATfxwvF5vsgli4qUR5PVTWbtVknquDQfjONZvxH/e/jNNvesr13ad/vhbff/QNfO6XzwsusPLPKz4qbbDEg6jh4mEy3dJ+3S+ZtIJC9Q5VAkMkeFMJXrtUnWsdTI0eq7hNr7QvYKZbOk/E4RL6eUk7ec/ad+rO8A5lsCxbtgyzZ89GS0sLxo8fj0WLFmHDhg2e+7zyyiv4yEc+gunTp8MwDHz/+9+XbnfLLbdg+vTpaGhowJw5c7BmzZowTas4ZFqQqGAdMMixGpKSrL0hEErDUgd++eff3uP6bHtHL57Y8C5e3toBAHhh897Y6XtxYvU65t+3d+KqB9dj5z6PkEINAIJrIMS7FcYlNEBT88fkEqo0GznE7RWe5a3SOWWi22rfZ9rHewaIweIRCk61hWYMFMvJB421/35MKFVQ6whlsDz11FNYvHgxnnnmGTzyyCPIZrM444wz0O2Rg6CnpwczZszAddddh4kTJ0q3ufvuu3HFFVfg6quvxt/+9jfMmjULZ555Jt59991wV1NBmDGKbln/C2IfZFLlGSyydnOVjCnNXQcFcmSv66k3PIFP/uw57jPVNUaFeAivY579gz/j9tVv4xv3v1z2eYc6okYJye6/qvtmOYYlHpdQvsIrU3quIShhGRTRbb+EYalWQkjDjjJ1PuMMFo9+SSvDx+ESoizNn16pL4MlVB6WlSv5ZEsrVqzA+PHj8fzzz+PUU0+V7jN79mzMnj0bAPD1r39dus13v/tdXHrppfjkJz8JAPjRj36E3//+97jtttuU+1QbcYpu2WSqcgnRzxtS5Xnt7HBsen5Ow0JdQvW5rBMjNkwjfvo+iobltfZ9ZZ93qIMrfhhiP1lEm4phycWmYfE+f5wY6h7HQkRDtRzINCzVBu3v1EXlbbDE6xKi78lgRk5FQVmzYUdHkYIfPXp05GMMDAzg+eefx8KFC51GmSYWLlyI1atXK/fr7+9HZ2cn91NJxJmHhR1DtbKgnaghJobFCuISKlg17zsPopLPJBO8SygWViy4S4ghWab+aDgg6sQl21YtuiWTRC6Pzj6PbKUe4PReFTdYCMMyBMOErEFgWKKkwo8LsmjNngEnc69XWHOe9N9EDBTLYNz7uBDZYCkUCrj88stx8skn48gjj4zcgPfeew/5fB4TJkzgPp8wYQLa29uV+y1btgxtbW32z9SpirTGMcGIk2EpHUQ16VGqMONT68dPNOVoWJzPCgV1h631XCxBXtdMyuSNsgpcUxCDJTXca8EHQcSwZhmC5GF5csNOHP2tP0U6vkoHVgnU2TwSGty4U6VrLUdwHRfodfcOBGP+4nbVqxas9YDII+rixYuxfv163HXXXXG2JzCWLl2Kjo4O+2fLli0VPV+cYc15P4ZlwPvFogsuP+U7E2mpVodiE+rVLUSRSZqxTy4ul1CAfpBKDr2Vcdygd7HcV0udhyWeAZ/OG5WOruAZloqeKhQ6+7J4cN1WdPV71PUJgOEquqUXS8duL21V3IuvqEL3WkAkg2XJkiV46KGH8MQTT2DKlCllNWDs2LFIJBLYsYMX/+zYsUMp0gWATCaD1tZW7qeSiFPDwvqI6ljUJSTbhvox/WhOJw+L8xkd2MUOW43su5WG6BKKRXQbIkqIIZXQDIsf4mS/griEyjp+NRmWih49Om77y0Zcdtc63Pns22Udh76SVct0K1kIVus+y6I1OZeQl4aF9N9Y3NvDhWGxLAtLlizB/fffj8cffxwHHOBR5TIg0uk0jj/+eDz22GP2Z4VCAY899hjmzp1b9vHjAmP347BI/V1CTkcWz1coWNx+vgyL5EXx6rA1n4slwGozkzSFWkLlnzZKHhbtEvKHpfg7CirOsHCJ4+If6emEWqvagj3dxQrEu7uj6YAYaiVxXLVBL5UuTL0WirmYDYy4IyiriVAj6uLFi/HLX/4Sd955J1paWtDe3o729nb0kvLRF154IZYuXWr/PzAwgHXr1mHdunUYGBjA1q1bsW7dOrz55pv2NldccQV+8pOf4Oc//zn+/ve/4/Of/zy6u7vtqKFaQJy1hOzEcQFcQuImoj/TT+VthEgcB9S+hiUIGlIJT51OFLgMR+0SigXcbSzzOQXRsJSDAvcOxWvYv7B5Dw67aiWufehVAIClOPxgU/hOlu7y2hF3ra8g6PNxtVcSLHEc7aO9ATPd0r4Wx/MvKOaCekAog2X58uXo6OjAggULMGnSJPvn7rvvtrfZvHkztm/fbv+/bds2HHvssTj22GOxfft23HjjjTj22GPx6U9/2t7m4x//OG688UZcddVVOOaYY7Bu3TqsXLnSJcQdTMhcK1HhFyXU47HSEld2fnoXJ6xZTmeL/bXeMh/KkE6a8Rc/FP5XaX3ogJLUDIsv+FpC8R2LIi5dFpc4LmaG5YaVxQScP/3LRgDyPCxbdvdgzn8/huVPvhXrucOAtatcV16czz0oZIu7att/nMES1CUU8+JrMCplx4VQeViCWHdPPvkk9//06dMD7bdkyRIsWbIkTHOqikqIblW2QQ95scSziQUK/RgWmfbGS8NS66JbI2Aardgz3QYU3VJqdzhrWNZv7cCktgaMGZEJvE/ZolvF+xSXLkuVGiAOpIRoQNk4c/3K1/Duvn5cv/I1fH7BgbGePyjiqoOmKsBaSQxmzhGmYclxDEtAl1CeGizlt2UwkvbFheE7ooZEnLWEWKdTvajU8nYzLFENFhXDIrqEapthCRIxkcsXIgskLctCe0ef7BvuP9UKs2+AGizD0yW0fmsHPvi/f8Hx1z7quy0f3Vrmqr2KLqG4Xadpoa/IDl8Li4kwZUU8j0OfexUuq1Cw5FFCVZY38wxLMJdQ3AxL3AEJ1YQ2WAKiErWEguRhEU8nWuJ+flmZWFhVrRmojJgwTgQxAbJ5K/JL+b1H38BJyx6zC4Q5xxDOoXp22fLCPYcC/vLme4G3jSK+VL036ky3wQ7st9Kn541bnJ4WGBY+uVfpsxqIHbJdQmUbLNV1CSkFtz4n//1L23HW95+WVof3g6w/0X4T1CXEa1hCN8OFgqRv1Qu0wRIQcdYSsqOEAmS6FTu9S8MSxSXkGSVUXz1YOigURIYl+PF++NgbAICrf/uKcB5+O1ldEoA3Nmvd+IsLXf05vPTOXvtZhGK0FH97QcWYlCu69Wt2RV1CCdEl5D5vLSyG7TpoZVy/ZVlVD2v20/qp8PuXt+G19n34yxvBjXAG2S2in/UGTc1PXUI6D4tGEFTGJST/vm9AnYdFHHyD52GRMw4ul1ONu4REyN5fkWGJI3eB+GKrEj31cgZLfd3LqDjv5r/gQzf/FX8sFVIL54KT/+0FlTtGNfEFNRz9Jk562rirNYsGC2VTHIZl8OEEDJRzDO//K4Go+hVmLEQx0GTlFajLnR6yv5phzTHr+6oJbbAERJyi24LPSjSrMC4AtyXuH9Zc/E2Pwme65Y9f6wyLqGGRaW6y+QLHqsSxKhGPoMp/Q59HreuB4sJbO4vV2n//cjE6MBzDEv7ZqNwx5TIsfu3mc/tU1iXErYLZ7xp4NeOIEpItICq90o/KsPiN1UH2pVAdZyBXUN6D2KOEtEto6KOatYS8/PpuhiW86NYrcVy9sQIyAyuXt2Kn78WBQjUADkeXEAOrexWm5EQU0a3qvpZrsPjNBZVMHJcWXUIei4rBBLvsciZO2b6VvkTVws7vtLYLLEIDZTatl1hb3a8pKxPvWFZLfSsItMESEJVgWFSdxWuwipyHhezmJUitdYNFDGuWDQC5QiFyNkdx4rAhHEIl4qNCuprPGhwzGlLFeyczHL73yOs4+tt/xItb9nKfW7zFEgiqPlquS8hvUqqkhsUtupX9PTiTy5qNu/FwiT2zGYcyxkHZrpXWsahcuEGF1mW7hFAc171OpwptzuajjWUqDMvih8MN8WpYvF962m/FLeIIa+ZcQsL29eYSkg0kLg1LiLeyKZPg/t/V1Y/+XN51n2hIIgVlWIZC1uAwyCSL907Wr198Zy+yeQsvbe3gPo9gryj7qMo+DC66tbB+awd+9+I23+PHbdjTEHgxLN9Z4MR6ysD42I9X4wt3/A3/2NkViwBYyrBEP1wgRB3XynGBidfpZ+SphLdxGxiDkWU4LmiDJSAqESWk6nyeolhhoOyR0uzEspe4srwowXrSXRQKllLDwkUJhXhmzWknl+KW3T04/tpHcd7Nf3UN0CqGhT4PL+X/UITNsEgmB9bnKQMFRItYUAnDlZluSyc5+8iJaMmoc2VaBeCD//sXfPFXL+D5t3d7Hj92hiXhGMp9Ob7/WsLvwcK2vX22myPq9fcO5PH37Z2uzys9b6r6ht95/SI6Pc9Juqlh+N8z1XjhpTmMgmFT/HA4I9Y8LMwPHEDD4taY8B+82+lOckZfDJkrixekeh+/lpG3LOkgkBPzsIR4KxvTzsTx0EtFGvy19n2u564Ka+7LDi+GhQ6gXgwLW+GKBjbVrQSOEgqrYSlNBF89ayZuv+RE5XFpu9/Y4c67Qa817mebJAxLfzZf9cRqQVCwLPseRR0HP/bj1fjI8tXSY0dB70AeP/3zP/D2rm7P7aI+L3txGYNLSNUG5oZWGixkwI5jPanSM9YDtMESELJ8JlFR8LHaw4hut+zpAQBc9eB6fPdPxXokOc5gYa4sOWtTz5lu8wVLOnllC3yUUBj2vpkYLLu7++2/XS6hAHlYhoOGhYbVM4ZFNgg6DItgsERwCYXNw8K0AamEwRmkIvwmTXraSj7bfiFixE/zxtCXzePu5zZjh2QREwcKliNmj2pgvCy4BMvFTX/agGt//3cs/O5TnttFnZjZZUYxeESWTMY8As4iaSAvH1Niz3SrXUJDH7KMsVHh5xflNCwKl9B+IxsBAFt29+IfO7tw++q38cPH34QlsA4y0a1XbQrKsDz+2g6c9f2n8cq2eAeZuFCwLPtlbk4n8NAX3wegeK3U8ApD59IJbRtJ0S8+B1X+m+EWJdRDXDxspShlWErPw8WweBjnKqgmD5XBwrZPJ0w0JIMZLLIjVdIlRO9DX9atmVK1ieK7j7yOr/36ZZx3819jbRs9v8MOx3vsqBPnsxuLrju/d03VZ/zOatd9i+ISElgy2WIwYRq24FolDI5bw6JavNYDtMESEHEyLE5ooPx7rw7FaMPpY5tgGMWV/nYyseYLFvdyyjQsQYsffmrFWrzWvg+f++XzAa6q+sgVLDvkL5U0MW1Mk/1df5bSqCEMlpQzoW3e1WP/7WJYFNFZVKNR6xFXcUDGNMkmc9at3C4h+new56TMwyIZfAsFx4BPJkxvhoVbKEi+r2BYM5dETNCwsP7rN7c89vdi4r72CjEslmXFEiUkP3a0/UzDfxsguoEZl0uIutMoEqYRyiUUx4LZqzRLrUMbLAERa1izT6gc16GE79hA2ZxOYmJrAwBg655e+/sX39mLn/11o/2/THujynoLyFcB+/pqqT6OM0IViHGWNA0uW2g/EcVGHVw3Eb+4i2FRhTUPMw1LryQrs9RgKfWrXqHWUpRHowr//NlfN+Lf/t+zWEVqGVGBbiphoCEV3SVUSYaFHrs/V+CNJ+G3Ckkz/uG8IExuedt48r/+XL6A21dvcoWyyxD5bgaphgr18/K7DCdxXKhWcfuy88jakCQMSxDR7XAvfqiWzGtwMCQp7qPCr4AYF9EjnI+t2lNJE1NHNWF7Rx/e2eMwATJBG6AWDIotkL00iYCDQjWg0rAkXAZLNIaFbkoNNfFR9QdyCQ19hqWHM1jUg7tKdBul+KFKdNuXLeDPb7yHP7/xHu76zEk4acYYjglJJUzP+Y13CcnYGufvuEtYcAxLNo8koQ6CaljMoHRDqHbxz4f9G8Rgu/b3f8eKVZswY1wzPn7CVM+FT9SJU3bJazftxoYd+/AvJ+5vj9uqRYsfq1dOsUcxMlPWbxMGYVgCaLPicQnJ21gP0AZLQMSZh8UJa1YZLOpBnE2C6YSJKaMbsWYT8A5hWNzH4n+Lxxc7rIwVqCF7hU/eRfQ6SdNEwjRgGMV7Rg2WMKthv/DHpnQCPQN5pei2lxPd1sZosLt7AD/760Z89PgpmDamOdZjywwWr5TkXi6hoAgiDH97V3fRYMlRhsX0dCGEcQlVVMOSK6Ap7d0WGVQ5D8uBmIDRecbe+727rw8rShXP/7GzG8v+8JprG/auAtHHVdnj/OiPiou2A8eNwEkzxgCIXkqB2RCREscJC0PZMRIJA6lkqc6QYrygRnccrrh8BftxpaFdQgFBXUK7uwfK8iX6vfReLiEa8bD/6KJmYwthWETIVP1elKBMH2DUkMXChys7Blai9IBSJVqchheHecmVBkvpd1NJA6EqicAnjqsNhuUr976I/338TXz4/1bFfmzq4mFdR2b0BooSCvicguhHWBsYE2IaKBm06r4cxiX09q4enHrDE77htEHBuYSyeWmuJL/bE5QJ7c/l8eV7XsRvFQnyKMTVOGtXXzaP6/7wGp79xy7pfk9u2Gn/rcp9Q1mkqOOp+DypK5hq0KKSnczoKDdKiAYIUCRNw3blqcXk8WpYdGr+YQDGsHQP5HHcdx7BV+97KfKxvHz9xe/VBkU2V/w/lTDtSKFte9UiO1mWTF50Jbqc5LTlYOH1Hfvw4Lqt0iqxf1i/HX96tR2Ak8eCZQyN7BJSDGzsPjINRF82L33Z6YCZFWoaDRaeKU0qu7oHYj+2lGGR5caxGRZRw6I2zlUIwlyxPs76czIA/eAfJcT/v3l3D5Y97GYOosBLdGvZv+NxCb2weS9+/bd3cMvjbwZoFz2nZbfz2Y278aOn3sLHb31Guh/NU9Q1IHcFmQY1WPzbLT8G/z/V8/GLNFVqfu/j5z36tB/EKCGZQZwwDdtwU7UxJyzSyoVOHDcMIA4G9z7/TuRj+SU1C5LpNkUiHrwKILLdlQxL6QVgflQZKxDWXtn0XjfWbtodKFeFaLQVChZu+tMGPLHhXQDAlfe+iMvuWodXS9kx6f369u9exY+f+gcAZ7XGJqb+iAyLbNt00rTvI4siKlhyn7No8NWC8FZ1+Tv39WPtJiejay5fwIq/bsRr7cV7nS9YvgM1Z7BIxOTMIFEyLAHaKSIIc8WMmhxxofohDMMSN+ix+4TEcbJFxxd/9QL+4/6XuWMEZ1iK90SlmaAQI0qCTtz0PVDdNplOJyxobbE7nn0bv3jmbfv/97qcPEpR30O/nFme+wqBDjJDm7mygWBFPcX79OOn3sJv/hZuLopaZ60WoDUsARGnnk00SEzBE+vlS7c1LEnTXqF4DTysr3MMi6TDppMmBvIF6UtlhrBYBnIFfHj5KuzuHsDU0Y340+XzlaGkX7p7HVa99R4euWI+WhtSAIDfvbQN/1ta+W267hzs3FccdN7rGnC1nSJRolUZw0LvSRg6WMaIlNRLAByXEFAUeWaEvB6i0DaXt+ARmDKoOP2mJ9HZl8Odl87BvAPH4q7ntuBbv3sVALBx2QfwyRXP4fX2fXj0y/MxQkHrS6OEBA2WYZA8LFmPPCxlVmumYOdjz4NmklXBr5/IJmuvMOkwoN2uaFB4T/is3tE1HzrCNtITAQcpZsQFMfw4lgDBJ7gg2gi6CIw6bdKh6Rv3r+e+Y2MGED1YoqxaQgKTIbsnpgk7WEBdbVzOiGxo32drgz583JQQ7SJ/15e9ohmWoAgzafvBr86NOOBTUA0La5MXRS7TsMgoQRZaJ5sMwkRL9gzksLvketiyuxdv7XSnOGe4/4Wt2NHZj4de3G5/Rv3OgDPBsYlR9YLZDIutYYnm95UNGjQ6omgoonQON7MlGixxR5NEgcoQ6CxFbfzh5aJbjYafPrtxN55+fSfaO/uktV8YKMMio8+dyCHLtX3xe9LOgI8pSPQVW1EPlFyoQUJ+cz6qW1nf8wqTDgN6z4ouIfd5ZfeHMgeBDRamywhg+Ik5oYJOcEH6vWkYtsERWXTrcclxMCxxJY4raljc94QyLGE1LNs71MEWIn7/0nbc+vRbdltkx6sHaIMlIOKUcXjV8gG8V53UJeR0dC+GhRkszmf8i2GVjqc+liHV4sshsj27A+gm6OpXfGmZocKMA9VKJ2G7hNxtfXbjbtz57GbfdgDySalgOU/BgGG7hWQGi9j+bB0UQNzbmwXAr3JX/HWT/feuLvUzpInyWL/NSQxix4AoKBNXBR06A7kamUuowFxC/n2YTuCytsjYhca4DBZy6L5sXogwsbjfFNR4C86wuJ+TCmJIbdAJTpWGnsI0nCifqBOn10KSGizqPCze5y2n2KMrNb8sSiishoUckxr/ftex+M6/4b8ffg3rt3b4LphrGdpgCYg4GRa/1MhecfdUdMvc8l4UuRPWXAbDEuLSxVXbnp4ABgs5gajvYf52FkasGjiYwSXTKmx8rxv/cf/LtvjUC/Q+ZUr3hIZzwqDCW4mGRTBQalnDwrC39IzotT9SypoK8AO/CI5hkYTriwxLcR9i5ERwBgRxCWUjiG7p5C+7Z7K+15iOZwh1JY6TME9ShoXci6BjFDPigkzCHEtQkGdrlSEb4NgJ02GJo74l3gyLM/aoAxy8j29Xa47wHotaLlWUkJ+GRVVKpbs/J/3cC7u7B4QF8+CPT2GgDZaAiNNgoR1Zmk5coBIpaB6WIG2SJZ2SalgSzGBxT8JhElKJ++8JwLDQlSF9qWmuE5thUWpY1AwLw5bd6vBvBnb8z86fgUevmF/6zJksTGKwyHKxiAN1PSSP62AMC2k67aOeBktWomGRMCj0s15uZQjp314Ior1gq9VcCA2Ln3Epa19cDIvFGSx8BJod1izZj7pekmEZlgB9k75vuYIVOEolyLEN4hKKnjguIMOiOL5vwUuJwR0U9NAFSy5gpwkv/WphseMwREmhYBiiSyjQbjUDbbAEhGwsiEpjchoVST/z6lBUwxKEApatzmSUfbokHpXmYfE9iwNxlbC7J6tol7Md1RdQWpQaBL0+Bgs7hpdWIYzwct6BYzmBLTuvAcOuShxEw1ILyeP8WrC39IxU99bLYOmVZrp1D7C0z6mp7ICr9xB5WGjpBoabzp8l34eLbJEtJNyfxTXgc2HNWbmGRXZ7OIYloMGSL7ifibpdPOMZq+jWcNzNlZg49/Zk7fdR5aLya2Y51anFBJ1+DEswDYvzeTdhKoMakqZheEah1jq0wRIQsoRTquqaflBF7NifCR2XDp40NX+QMEaZhoWvD1JiWJhLSKZkD8EuiZa+imGhk46KYenpJwzLgLdLyE4c52GUBLkOdj8ShsFtbxssPgyLaKDUSvI4LzguIfn37+3jn+Fzm3bj1qffwvNv7+bcO7KwZrlLiBgs5LhBx85+jzB+BlGnQQ3Zjxw/xa7sTUHZCllT5FWo4xnweZeQmDiOtUlyfs4lRI7n0S52ncEMFnKughVCGB3EYImfYRnTnMbqpe+3xwOmoVOm5vdjWMpwCbmKH0qjhBwNi4qVos84rxgfvVx1tC8YEN9PjwuoQeiw5oCQLV76svlIUQK0w3xqxXM47dDxuGzhwfZn4stbsAA2D7OBIJUwA62oZOnSZRMK02vIXpqgYj7A0dgw7FZoWKg4V6VhYa4KgDIs8vMmbYPFg2EJECnCzm8a/GDIBg3DcNwAsolTFB0P5GpgRPBpAosWUk0au7odhuW19k6cX0p9PqE1g0MmtNjfySIqmFCTcwll5TWags5Z2zr8qxHbLAJhJClkxqsfGxZU1xIFbobF/Y7Kzt+fy2NP9wBGNae5/p0tFJAx5WNTmEmYTnb5QiGwhiVIKvxKRAlNbGvApLZGjG5OY+e+fuzc148JrQ2BknTKYN+rCO0TjU5lptuEN8MSxCXkJXLmjmvA5aqqJ2iGJSBkA5wYohkU9OVZt2Uvvvfo69z34rsuZVgCuoTYsSyVwVL63jFYonXgvmwe//X7V/EXUikXcFbvIqg4VRUlJDdYvBkWL7dPoPtVOr5pGjBMyeeG4Sm6tTUTASK4qoWgwlbVapOKF9/tdIyX3d0DnFuM7S4yeOJkIcuOG6ad2/b6h3M6eVhKDItgyMpsVz/RrVcG33LBa1gKgaOUzv/xahz7nUfw5rv7uAWMF8PBvssX/DMxuzQsMYpuTbN8baC4N3vOY5qLxZiYOzN6tWaU9g//HvPCaUt6jIRp2DmkVG1URdVRdtPLkKT7GzB0tebhgDgNFtkgYVmWUxFawrAw2ImwzGCiW1lK+7xkkmDMRFSX0P/7y0b85M8bXZ/v7pZrWJSVSclA29nn7MuMA9ULxtrvxbAEM1iKv03BJUSbyzQsoksoX3DyVDSmE9jXlwtEjdcCiqG08u/e2+cYKQXOeLakUUIiwyJO6uW6hLYGMFgcnQZvQDJIGRafgVzuvo3HIBUz3coiCWVdiemP7nt+K6itPpArABn5uWibcwXL043KjRshXEJBRLem4SRMiMslxMLXRzYVE1Ey9nAwooTciePc2yRNkyxu5OeghjS9T/v6aR0vL4bF2d803O+nDFt29+CWJ97Ep0+ZgYPGj1Aeu9rQDEtAyOZsMc14UMgGPi4zq8tgcTMiVKzlBdYh1S6h4m87NX9El9DG9+RF4FQaloGcfDXbR2rxyBgWPw2LV6REEJE0u08Jk3cDsmdicAwL//zpwMIEu0EG7kpDddn0+nZ3DygnjX39OftaxU329dHQSuaG4Sdb8Zkpo4SUV+CgULCwvVQ7y6tfZvN8W0RDVrYrfVayfibrevFpWJy/+3MFabZrL+MoYfL3zys6LavQRMjARTSGYFiC3Be6KIjLJZQ0+YWLTFdFYecOyhfwi9Wb8MaOfdz3Tqbb8G0TozFlbGuCuoRUiziFIS179/z2NwzDN60GAPz6b+/grue24I5n31YedzCgDZaAkDMs8qJefpC9O1RA5fWus06fMI3IoltZrZe0h0soiIRFbMuo0gpnT0+xsrVlWdjQvs82VAYUqwY6mVGDhYluVQOHWEtIhiCrJLaNITIspfYaUItu6STBdC61wLDIWmBZfNbSXV0Drn6XNA3bkFVR6/sICyaLCJJVqVVFCQWZtHZ29WMgX0DCNDCprUG5nVP8UB7WLBPR0+cnm3BlBm98GhbnOKLoVmYIijANnuof8AgIoNv5h3Lz2wY2WAL0e8OA7dOJXEtIeI7sOYuRN6rrZOe967kt+OaDr+Cfvve09PsoCdZEfZZ/4jhmHFm4ffUmvLqt09V2egj67nk9R/E70cUkL+JaKqXRH21RXilogyUgZJO2WBclKGS+8K5+d7SF/b+EHUmYRqCU+exQSg0LY1jsKCFJWHMAw0hsy/iW4mTSnyugN5vHr/+2FWd+/2l8/pfPF8+jWM1SIyCKhsWryF2QVR87fIIIAgGHjjeJ6PbOZzdzRisdpBvTRW9rTaTmDzDRvtfd79rONA2MHcG0AO7kcoBY/LD4OydoQdwaFrnoNgjeKVXjndjaEOhZs3OHdglJ+opswolPw+L83SeENbM/vSZ1MVzVi2Ghz8ePARQXOkG7cxBDLkFcQlHvovgUGbMiZo/1cwm9/E6H9Ps4o4RkfYVqWNj3D6zbiqsefAUf+OGfS5/LU/NzDItH+0SGRtzUS68VpEBmNRHKYFm2bBlmz56NlpYWjB8/HosWLcKGDRt897v33nsxc+ZMNDQ04KijjsLDDz/MfX/xxReXkgg5P2eddVa4K6kwZANcnC4hlRARkOdQoVkivWAnnSLHkK3eymVYxLa0NibtY+7uHsBPnv4HAOCx14pVmOkKkL5AKobFdgkpBm22svIS3YZhWEQNC3uBDcPAuJaiOOCdPb3474f/bm/DJgnDKF/EXGmIg2eRYREMFgMYXTJYdpcihcRbSEP72bPJBnQJ7ejs43JJBBHdMsHtfiMbPbOcsok4axssQVxCxKiX9DOpSyimAd1LwyIreSAiYQoMi5fBEoJhEdmYwKLbgBoWJhQWD7t20258dPkqrN8qNyToMSiYoSIyLH6J45gujYKykNHysPDnkY0/SdNwyqKU7hljVhhUmW4pw+KtYZEvVmnbRLDt+nN1zLA89dRTWLx4MZ555hk88sgjyGazOOOMM9DdLdcvAMCqVatwwQUX4JJLLsELL7yARYsWYdGiRVi/nq+sedZZZ2H79u32z69+9atoV1QhyAZHlei2dyCPb/32FazZuFv6vcwapgO32KlkDAstmuUF/7Dm4m/PTLcBDCOxLamEidFNxclub0/WxTTwERn+DIstulW8mEESx4VJlCVGMNgaFgCfPuUAzJxYDOdtJyG2bHJMJUzXIAQAP/3zP3DDytd82xA3ZFct9rGiG4LfxjQMNJQSCjID02vgdlxCPgxLNo9te3sx578fw0MvOYUvVfZKXzZvGzlMcDt5ZINnv3QK/MldQrJ9OXFjQJdQJTQsVLxdPK/zuQqmwYs6xfQCFH4TGN8uum0h8MQdZHFgGOpaQr97cRvWvr0HK9e3+x6DwmFY+MgbVdgv+zQjSU9BLyHKwoOPllO7hETjSnRrB9GwePVDeu0yQ9arAK+Xa3EwEMpgWblyJS6++GIcccQRmDVrFlasWIHNmzfj+eefV+7zgx/8AGeddRauvPJKHHbYYfjOd76D4447DjfffDO3XSaTwcSJE+2fUaNGRbuiCsEQXASAPHEYAHz/0dexYtUmfOzHq6Xfy/oWXxdCNFicvzmXUCANi/oYgDNQZJK8wUIHkCDnca10Eqat1N/dPeB64Wl+EvrCUIalkzNYvPOwBEkcFywVefF3kWFxPne0LUBTOonPzp9RapdzTBaqnTINe8DMkonz2t//Hf/35FuuitSDAZlf282wOIJAxpp4Giy2boQfYEWxYe9AHn95gw9/B9Ram9nXPorDr16J/lzeYVhGNXr2SycPi2NEUsh25SbygHqVSmhYCpbFsU1BNCyGYXCiXE+GhRzHz+DiDRb/qBoG1u/ZuCIDJ7oVvmPtz+YLsCwLtz79Fp4osbMU4v13aVhYCLei37JxrkHSznIzwoqZblUMi6hhEcewbIE/DlC8L3TBnM0XuAUeBX3/ZH3IyyUUNTlqpVCWhqWjo0jXjR49WrnN6tWrsXDhQu6zM888E6tX85P5k08+ifHjx+PQQw/F5z//eeza5V2orr+/H52dndxPpSEOkL0K0e2fJYMxhazjdnuJbhUGS2SGRSJ0tF1CEp9tkFQJsvDC5kxRx9EzkHcZC7zo1vmcGoHUYOn1yXTriG79V91ecKKEDE67Q8W4AGzmgUYKsYEhlTSdib70wncGVPRXArLTifdRNpAZhjPRs2vzuoV0MKXnlmlYZNoeGYORzVvY15+DZQHb9vahq3QfRzamPftl1nYJhQhrJu3euqcXP/vrRl5bJrn2SuRhyVvhGZaEaXBhz96i26galkLgYnnsuCMyTuYMcbgyTWdscddMc4zf59/eg/9++DV8csVzkvbx+7k1LO7xjNuf5aEiDAtzg4gRUmHBP0OVhsV0aViocS3mb2H9pKuPn3s++4vnceJ/PYodne6kirTtMgbdK4R/yBgshUIBl19+OU4++WQceeSRyu3a29sxYcIE7rMJEyagvd2h+s466yzcfvvteOyxx3D99dfjqaeewtlnn418Xu0/W7ZsGdra2uyfqVOnRr2UwBBfOJVL6N196torgLyDyFKcy7anGpYgUULM2LGElZJ4bCes2eLOAwR1CfH/J03T9gv35/IYECbEbM79EgL8PQ0luk0whqW8KCEnQRy437bBUtquoRS2TMOwGWuUNE3XRE8T6FXXXJFDZD2UDItQSdZT3CdhAlRRQmJVa8DfdWWAr6UVhmFxJY6TuoSccz2wbhu+/btXcf8LW7lrcZ0nJo0SfRyFAv9OsFvgqWExDO7ZeIY1h9CwRE0cx47bTAyWG8+fhds/dSLXZihqCTGDJ1fgmQP2eWdfFk9ueNc1oaYUUUJ+mW4pE9QlyfwcJUpIdOXIE8fB5T6mi67+XEGamn+fYLBs3t2D/lwBb+zocp0j52uwyNrunL+WEDlx3OLFi7F+/Xr85S9/KbsR//zP/2z/fdRRR+Hoo4/GgQceiCeffBKnn366dJ+lS5fiiiuusP/v7OysuNFSXF07T1cmurUsiysWl80XXJOo7KX3dgm5O2wycJSQVWqX8xl9cWwNi+ASoi9bkPO4XUIGMiUWoj9XcE2QXN4Zcq6oUUJBUvMHWQ1T0S37XVTWM4aluJ3DsNBQ2OLf6YQjpGOT4F5yLbVQwdld88gdAWIazkSfC+AScsShfP+SiW5l4d700L0DeXz53nU4acYYabuTCdOzX3oVP2TX5t7H/Vwoyye79krUEqL9DXDEyF55WExBdOvVx/KSCRAoGqNiuQ8+Nb87wkQFGcPSkEpw76dB3K4qhiVXsLhj7O4ewPjWBtz0xw34+Wp3jhBbyyYYAX5RQvT77v48xoxw35uwEI1O2QI3QbSIsr7a3Z+TJjSkSTUp9kk+54TTkvdO1q/tKKEaM1giMSxLlizBQw89hCeeeAJTpkzx3HbixInYsWMH99mOHTswceJE5T4zZszA2LFj8eabbyq3yWQyaG1t5X4qjSAMi8iu7JGkppe6hGjGUDFKSLJvcJcQ/1s8vysPi7AyBYIxLGLoczph2quW/mze9aJkJS6hfMHiXhBqsAzkinS0OnEcTwXLECQrKbv11GBhbQOc6rKyis00Dbwz0RfP2dFTWwaLeB9lgsqESQ0v74GffWdZllvDIjz7noG8VGOxdW8vfr5qE3oGcrj5iTfw8MvtuOrBV+zvDcNpRzohz/TsaBcK3O8geVhkg7ksy+gn5uyPf5mzf+ma44oScv4Ww4fZY/EyjsQMpl4TDXXHseu7+fE3cNy1j+DNd/kVOj1lGIaF9RPeYDE5fYZpOAsA8bBZ8vxoG1h4/Y5OOYutysOi7re8YQsA+/pL1cvJLYzCsNBTFixLOl/INCz0/ekZyLvypgD8Apdin+RzPipMwmxKugp7znUdJWRZFpYsWYL7778fjz/+OA444ADffebOnYvHHnuM++yRRx7B3Llzlfu888472LVrFyZNmhSmeRWHOEDKOuDft/Namt2STK+yd4djWIQOVI5LSKZhEV8kwM2whK2B43IJJZyMsCLD8rO/bsTvSXQIa4MoYhbvU58kkoUhFSBxXBiGhQ147BY7mW6L/8uy3dI6TynBlbK3d4BsF8+qvByI9yKbd6ddNwwiHrbF2OpjFiz3caW1hLJ5qdH2/Nt7cPVvX8H1f3gNf3t7r/T4tksoaUiNDpYjx0nNX/wdJNOt7LnwdHzx94TWBsyePoo7frkQV+N84Ty/SbfEBJLvvUS3Mm3GjX96HXt7svjfx9/gtuXYXUkfUYHdy+aMow3JJBPcIktMHUBBF060rzD2WnXfVVFC6sRxsM/DwPSE4rWHBWfcWXIjo5jplr1jblajeyAnMJbe1yNqWwDeqJb18XqKEgrlElq8eDHuvPNOPPjgg2hpabF1KG1tbWhsbAQAXHjhhdhvv/2wbNkyAMBll12G+fPn46abbsI555yDu+66C2vXrsWtt94KAOjq6sK3v/1tfOQjH8HEiRPx1ltv4atf/SoOOuggnHnmmXFea9lwiW6z7s4hrlB2dfEGi4pa5EW34qDv/J0nIsIg1ZrZvnzGSje7kRHCV8OKzETjKZUwYRrFY/QJDMu3f/cqty27J355bXoH8soVHtOwpL3ysAQYdETXD3vmrI3sf1kBRBqRYg9CtobF7YcfTIjMgFzDAlclWb8oIZGlKBoxYpRQzjPi5YkNO6UDZZ4cP2makD3qhlQCXYRGd2pvBRDdSox0Wfi9aTiMXsWihLhFBWufx723LG7i8TKKvaKExPvCuYQkxqfyHKV72exiWBzD0auWkLNwUhks8ndIlYdF1W9lofjMsKD3MxrDwj9TmcFCS6ywd5Jeb3d/nhu3/PpCl4xhydN+EUx0OySihJYvX46Ojg4sWLAAkyZNsn/uvvtue5vNmzdj+3Zn9Txv3jzceeeduPXWWzFr1izcd999eOCBB2yhbiKRwEsvvYQPfehDOOSQQ3DJJZfg+OOPx5///GdkMorqXYMEcYyTMSxifZldAsOienE40a2nwRKVYSGfSUS3zMUxUAoj5EPp/F9WcYtUwhQYFq/BtvhbvHcierN55YAZJDV/kAqyNEoIIAwLu2c2wyJzCTGGhYhuGcNCDJZayB4pPg8Z3W8aBlIm79ryGrgLluWK/pElzOoZkDMsdlvyBbQroh3oPZYZHayGU7miW9lnTo4eh8avXB4WwrCQz1UoupG8JyYGOjnnCxbXhykj4tcuGXbu68f9L7xjL8CoS8jFsJiOa07pEioU5AaLwiBTZbr1Y1joc2ZuFV6/I93dEyKrzdz+tOslJH2JGus9Azkuo/rm3T34wh3P4+V39krPKTNYZNqmYhSku532PqWP6pphCVI87sknn3R9dv755+P888+Xbt/Y2Ig//vGPYZoxaHCHNbsnWLFj7+rifa2qAb+Lq7zJf6dKHBeEYfFLHMdGQyYitazii8NZ9QH6rDgg0JWDn5XO2uZX/bqYAVT+XVwaFnYZoobFZl5K2zHXQ65gIZcvIJkwubo1ovK/gxPdxjPJlQNxwC9qWPhtTMNAKilECXk0PW+5j1soBBfdMqhKXtDJK52UuxOcGk68azMl9AtDYtfKmC9+ci/+Ng26Ko72LFf8dSPWbdmLmz52DBKm4VqN06MWGRdvdiNf4KOxvCYaccW9vcNtHNrHFdzRflPAx29djX/sdBKJigwLhWmoJ03Wxmye10QxDYuKYVFHCcm3p8UPGWQMS6Q8LMLCkC1KR2SSdpQPdQmx50sXNF19OVd+lYdfbseLWzqk5xSjh8TrYPfSNIp6vJwlf6YOw1LHGpbhDnEulCWOEzu2qGFRzZmqgnAAz16wF9A0g1VRloluZarzxjTNQ8BrToLQoeJgmko6ols/5kSlYRHRly34MixxRwmxAZXdD0NwCQFAX45RuZbdBjFxHBVf14ZLyM2wiP3OMBwtALt+r0VLUXCrZliYMeHHsFA2SmxzlriEZARjg4JhSQTIdCvrH3SypC6hchmWb/3uVTywbpudyZVzAYlMhuVtKAJud403w8IvXlgyPgDo6OUnvLCZbqmxAvAGS5FhEVxCTHQrHCdrGxqCS2ifN8OSdDEsFvdbhEwT4oQ1O9tFMUzFfFddJdaptSHltJcyLBINS3tnn9SgUI2VsighTnRrGyyGazHGtZ2wPUGIimpBGywhIA5yMvpNfPhBXULUvykaCGJoIcB8+P4GC1AcaGWZM4t/F3/T1c+A4MIJ0mHFASRlGnYypv6sD8MSVMOSzfvWEmpKu1NsM/hpWPjsvuw3G/j4z2neBmaQ2at5Gtacc2tYaiFKSJ7plt/GNChT5D3ws+/Ea2OMHQCMaChOXr3ZfKSVG9UzKF1ChPmiv1MBagnJngs1Lp0cPYYrGikqdtk1mvh3knPhWu5swSJEI8e7lhDRXbkMFn7C47RveSu0lmMEcTE1pBIcA2oYzvsljjF2Lai84BIqjacq966jYVEnwqRgp6Xn6JK4hMoPa7bQUzpuS4NjxPFhzcU2UIOFPhuKfoXBInUJcZql4rF5dst9HPacC1Z0o7wS0AZLCIhRCZ2SVMjsxWCJ2IK6hLxqCXEaFqKxCGivoGDJdTDF79jxnJDDASFZUZD+KlKuKRLW3OczObHjy0TMANBcMkJ6B/JK44kNVHQwECF78Vau347VbxWzKnO5Z2yXUKmNpe/YLTcMw74+ZmixgYYmjmMTx94acwnJGBa56JaPYPDqC7IQZsqw0Gcjo66DtNmJ+pHnIWJMoeNSUIQ1u+r8ylftfLr+4m+TRE+VK7plxryYpIwvfuh/nlyBZ1iCuoRyeQvb9jouoQ4hDQO1e/IeLqHegTyXf4qBY1hSJvccqOhWPK6dwFJ0CZUYFpWLx9awlM6T9zG0ZWUPbJcQZSYiPGfR6GQsOtX1UPexzCVEnw2Fys0uixLiXIVEwyIGFHBtD9iXqo3IieOGI8RVWUdvFpZlcYYMe87jWjLYurdX4hKSd/yefuoS4r9j7EiBDBhB87AU22QpVwuWPQgXjaxsvrj6FYV5fnBpWKjo1o9hYS6hAfl2o0ek0b2711N0y1ZUIzIp6feA+zre7ezD5375NwDAm/91NjfAMH2QzbDY0UPOPW9IJdCfK9hsAQ2hnTyyGDW38b0iRU4ngtpgWIQoobyCYRFWf15sW6HgPi7NdNtCBmpV4ivPNuedPD0qhqVRZFgUolt5LSHvKCGaBVnUSESFrEZWoSC8r5Y8rTtFQWDIgruECtjeoWZYqCGlYjUsy8LZP3gamyQ1srg8LMkENxbQSVM8Ms37E0Z0a1dtD5zpll2bm2GJM0rIspxFKTXci2ydOqyZFftMmoaQT0XeHj/RLbtvRXbL3U5Z2/tzBTTXSPyLZlhCQBwgs3l3MiD2oMe2FJ+wK6xZ0e+9qzUXf9NOGjg1f6lNfhoWA4adiyWKS8ilYUk4DIQf/c/aoNK6TGhpsL/307CEYVjopLlpVw/3krKX2TD41Q+9406kEB+OmEoYOGJyK4BiqXjLsmou021gDYtQxdvLeC1YFlfUsviZsxouRo4Vj6fSqfi1mbqEZHlYGuw8LN6i26BRQjmJhoUm1CuXYWHso+g+oIe14O/OdGtY1NuLE9/WgC4hWTmFYnshNVYAoDldfB9No/heUJeQZVn2CyUu5JgBkRWihHZ1D6AgcT0yMNefGCrsV/yQPue4XEK80ekwNy0KDYucYSk+m9HN6UDnlDGXfPFDCcMiubSgdamqDW2whICM0NgrvOBOhkcnpFf2vQivPCzsf7pv0DwsQNG6V9XFoHlHaCr9vPCy+cFtsJi2hsUv+sde5UgGoXTStLUP/bmCR5RQ8V6M8DJYhOPTHCqv79jH3aOEzbAU/xeLHwLOap4ZWlR0e+jEFiRMA7u6B7C9o6/mo4RyEkGlvFqz+ph5idaCFn1LmAaaShNYFIMlVyiAcwlJun+TyyUkZ1iCpuanfZL2AVF3EAbUCOizXULO9wVLXJ37Myx5IRrL2yXEX1M7iRLq7Msp646pdDFeQtwxI4oT7cimdDERIXEJ5S0oGRaVSyhfsNDjsXBhUW0iw2KLr8XSA/ZiUKJhIadgY+YTG95V6kpE0P37c05k3AhOw+LuS/TZsczpQQ0WP4aF1XRLGM784ZWHhbW9VqANlhCQrej29shFtczH7VUXiKJ7IIc3duzDr9ZslgoXAd7QYJ08aMVmbgUndQk5DEt/riAdqL0gbpNMGHbJdlXZc3FfmcHS2pCymaRCQS36sxmWjNpgEdtIGZ3Xd+xTaFhEl5Czv5g8juolGlIJHDiuGQDwzD92cYZWLTAssjws4q2V5WHxTBxnuY2xIsPCjAbDNvKY2DQMCpZlr/JTCbno3NawsIkqRLVmaR4WieHOaVgiGJ/0PGwyEO+rmI7d7x0UI3iCZroVWeJ8wRIqVNNtwxss+41sxA0fPRrf/dgsAM64CBQNMfYUvGoJieftz6rD4tnxE0KosDMuiwYLb9gCcg2LZQF/fKUdn/zZc1hw45PK65UdG+ANCcoCSzUsEmNzVFNwg8UlYOZcQk60I7sVMgY9qPFbbWgNSwjIRH4un2+BfzGCGiyWBfzT955WfFdiWMhLZRsshoG8T/3fgiUPjWbfAcVroy4cmTDXC+IESBkWmTiZwpIMGgytjUl7JeCVaZOtoCnd6tfGXsFg4TQsPqJbwClJb0cJkTo3AHDE5Da8vqMLz/5jN9+OQWRYmObKlek27xbdFl1CJYaFDfxeLqGC5WKxfr5qE57bVLz+hGnaDEifj65JhlzesifiZEKemr9BTM1vMyyC6FbGsPhECTkuoWgalve6+jGyMcVNwP0ShkU8bpAooXyB30flvgFE1sjNrHX0Zu33iDdY1GOXCsmEiY+dMJX8T/V+lvMchGPQWkIug0VSTJUhpdCwUH0ZZb1Z2+lz7pKk5geAh18uJkQNOoHTsYq5ajJJ0x4fAMawCBoWST8MyrDkCxZ6s3mbyRTb4bCdgGV5uYSoUV07BotmWEKArsrYi9EhUNvsQbMXU+wMUXzeMtqSrS6DVmx2GU6lgzq5Jbw0LP7n8NKwiG4zd/uKv1UMi238SVgABraNmJzKq400jHpD+z5pWDObFNn94BgWFiVUMlgGhMnx8ElFHcvLWzu48w5mpluZHor9L2VYEiLD4nVst+vi9y9vt2ntpGl4hp37gUYJFYsfurexXUJChtOk8KIYhjvKTmZ85AR3BNs3GVLD8uq2Tpxw7aP4l588yx2T5fBxh/WS9y/AeURhvWe1ZmECkxks9Lh+x/Rqm8gAU4ajUPByCTnPTzSURJc1f3xRw8Ib2mJ7nArjlA3JSq9LFgXlBXpbWfROcybJGdpSDYuMYWlWL8REiJFCsiihYlizug/zLiFtsNQlqMHCLF63hqX4m634xRVpGLG5TdnZ5eUt+3OTMCx+sAoSw8niqVLToAwLH9YcRCEvrniSphMl5Kdh8XIJtTQQhsXDJeSk0lffD1dNG8KwbNrVw/1va1hKb4hYSwhwF0Bkgyyb5O0+IrgNB9MlpEqkJVtpmybceVgk958ZifmC5WmMmYbBJSgMi4G8M1H5RQkVLJ7xSSXc28pE9CJo9Ah1CQVhWJ5/eze+fM+LeK+rH/es3QIAWLNpN3dMZjSLtzUvnNdfw8K/G17PgV5nLm9B3JQuwugro+q3XoyDeN/p++mVSZYxerlCwXV8qgcRoYoSotonCtliiT0Tsa+/t89dyNYL9JqYm6kpneDGbKoTs1PzyxiWgC4hwF2xOU+OlyMGi1eUEM+w1I6GRbuEQoCOb6ObM9jR2e8SDzKLPaVwCYVhWJKmiYF8wR40bPaGZosMUgAR7giQfMFCKuG8sIbAsKQE6tYPUtFtMpg9zNrGGIqGlGm7DFobHQ1L3lK3xSslv6qNVMOSL1jcgMQGVi8Niy26tTPd8gYLG4jErJSD6RKS5Z0A2Eqb35ZqNdgEIvN3Z5IJ9GWLgmiva0sS0W0U0OeVVORhoQwbXZ3LakyZBkCfjNwl5J5UE6Y7k6oMH1m+GkBxwJ/Q2iA9Zrct8JRP2EDxnvtFqYh5WPaVxLMyA17FsLQ0FFPGU4aFM4IUhomXceSlsbMsiySOE67Hdgm53WF92YIyYR9791xRQgqmbXf3AO5du4XL8NuvYL3CMiz0kTEjojmd5JjBZILWEnKLbhlGBXQJAd4MCxUf5wvyew/Ubh4WzbCEAF2RjS2p30UNiyMwZKJb/hhh4vnZS8cYFjutsunehmLmxBZ8fsGB9v/F1abQDkGMZoCv2BzGJdQ7kJdoWAwufb0XbDdFaRBqJpNaa0OKG3xUbQliuImrMjGzLk2qZB/XRZtShqXESLmihIzSbz7s2WlH9QYAmaFKf9PP3RoWsvrzEN3aDIvl1rBQJBLlMSz0PqrCmtPESC66kORhzYCbjZOn5qdMh8OyhYkS2vheN2dQc9V4B9wRKYConfFnWMTcLX9+4z1c/LPnpNvyOZYc1ooxgnRM48KaozAsHj7rguUsAMRaZw7zYSErhMr3Z93jjX0+OzU/X3yUCr8ptu7txZX3vYS/b+90XY+rLlx3dIaFoTmT4MaqYqZbXsAtu59BNSyAo5fpGcjh7B/8Gdf+/u/2d8wQprmE/BkWbbDUJeiY57zcxU6cL1jY3tFrP+hUQt4ZwtRlYC+XHSUkWSXIXEJH7deGr5010/5fpmGxOyShudMql5DHYPmL1Ztw2FUr8eSGndznYRgW1hY2IDaRdN6tjUnbaPAKB6bX16yYFF0aFoUhQZ+zU63ZzbCILiE7SkgoxChm+q1mWLPLMJH47Nn/bg0LIFadls1ZzNAtVmv2YVgCGrEyUKZK5RJKJ5zjZwtOP1YxLBTS1PxU/Fr62giZ6ZYaOOIx2WrYK7LDgnfhQ6AkSBeO8dTrO6XbinlY2LvDIlF4DYuzn6rfqiY06rqWgYpu6ZHpcxCrNbPzqQwWNma6ix+ycdl/TOov1c+Joje0LAsPrtuK19o7paxYcybJ9VuulpCXSygMw1LS4Dy4bhtniAGOGNs0vVPzUzu8lhgW7RIKAamGpeQSuvT2tXj8tXdt5oUNaG7ftPu4qYQhHQzESCOaz8Juk2RAYC+taTg5HcROyV4mump0XEJ5bqXq5RL65oOvSD9PEtGtH8TQQpFh2cPqh3is3ukL1phO2qXcKbw0LPT4puBjBnj9EIMY1swmR3bv2OAo3r5qMiziwF6wB3An3Je5E6R5WEwWJSSnyQGHYSkULK4mlohEmaJbZhiy1aFsLqR9Lp+3pO8Mg2jwyNxZMoYl4aNhuX7la3i9fZ/9v2Hw56fH3KdwCXGuqII/w5IvWNLCqqJbKJfnFyO5vMPMsKy0lMkKUlBRNaGJ7hcRhQJ1CfFGlH3+vNsI9kogmRIWC7bBoghrVmEg71/oUYY1G3fjsrvWAQC+tPAQ1/dN6QTXb4vVmvkxhhkVo5pS2FOaX4KGNQOUYVGPgX7FD8VMt7UCzbCEgMG5hIqZbJnB8vhr7wJwyp+r6DbZiza+pcH1WfEY/ITn+NAJpShZZTpJzxyGxhJ0+DnbYGHXxotuqegvwntbymoabHJix2crC1p/pLXRcQl56SPo6rI5E5BhGeAnV7nBUvxNMwIzZFJ8lJDDsJSEfxKhJxAt2VhUqPofe/7smeckAzRlWLIeLiGHYXFXJ6dImgYay9CwsPvM2iRjWIrhzsW/cyFFt7LnItOwmIbzjC3L3a+WP/kWHiuNBwCfaA4QCu1JKgOztjMUGRa/sGa5IJ0aH4++ugNHfuuPXE6QHNmPGZ5Zzh3lHDOshkXV/xkKFqS1hKg7LFsouEK0vUT8NsNiGwEl944H0ybDgEckkhe2kTIHshpqIsNCjV+2KGD3c8UnT8T0MU2YMbYZ41uD58Znz1dmYLJFYYKKbiXXWat5WLTBEgLUMh4j8fdSqFJ3ywb8CYrO6GJYJNkaZStHtrKhFrR4WhfDYjqMyECu4MouGRahXEJsEmUuIbIKb22gLiEvhsVpY6PCUPLKwwLATivvpWHhw5oFl5CgX1KtMMX09ZWEqyqzxVPkGVJ7R7y9vIaFdwlRBo5GCXkZLDQPSxSwnCXMYJEFhFFWKFcoOM9E8izE/aVRQhzDwvYz7AmRnccL1MABeCOI1cdyG5ZClFCI1PxXn3u4/Tkt+fHp29e69FT5giPqZ31hQHLNgJrlUU1ofkkt8wWH/aGXL0Yxie+9GAVD4crDIkS3yQxXGfpzaoZlZJM6xHgkYUL+sbPL9X1zOslrWBIGx8YX884UzztlVCP+9KX5+NOXTuVyt/iBGcGyXDz2osz0S81PGZbaiRLSBksIyFxCKoMlqXAHyF4CNcPCdyhHw+K0QzZoOyG+7JySlXbpf/ZxMaxZlZo//ASbNA0kE2YgCtbPJcSuxysagdOwKLLduhkWuYaF3lM7VwGbrMj2jWnRJVT8nbZFt/Jrr6ZLSFw9scmJ3WtmVMpdQs5ELzIs1Bhl/cayvA2WpGlwxfDCos9mWEqraAW7SBm5UAyLn4aFMJy0X/sZ9KbBl9EQ+3ExO6lwXmqgSFgcEXRyWnTMfrZhSIuqypAjCQMbiOieIchihW4/ZVSj/befXoRqWFT5XnIFd6h8j4fBosrDkpOMnV7wMlhUCyKAf25v7HAbLE0Z3iWUNPlyBXQRlU6aSCdNJBUCcxW8GBY7cMOQC54ZdJTQEADtM6xGhphjg0EV1ix7/5UMi92R+VWCP8PCu4TESq6A03GlGhYhu2QEgsU+VhCWRXQJqUS3slXm6OY0po9pwskHjbU/o6v4hYdNsP8W9xeLLbJr5hmW4m870y3Nw1K6Nkb9Oqn5Te63iGq6hNQMS7ENDYRhESfsYp/gtQCOweLcYxol5BVJkTANHDKhJfK1BHEJ0XICb7y7z/a/BxHd+kYJER0TZWz46sfuY4gMi6jz6erPuTUsgqHkp2Gh7TRJ+Hj3gHpyZ+fxcgkFWawM5IvPZeyIDH79+Xn2537GgWXJE8eJ76lY7d1LJ+XkYRFS8wvspx+KLiF1u1Wg9+4fpUrtFA3JBO8SEoxfGrlIWcyAdhaAYj0oQF5dm7mdqGGvo4SGARpTxQFBncBIXktIqmFpdTMshgEXZZcvuCdULw2LrcCXMCzsfz6s2QnTjYNhARya2Qui2EzFsMhWDD/61+Px+JcXcHoZugL66UUn4M5PzwEQj+hWFiXkDmvmhX8iqukScjMs/IqTMixi36R5WEQDl+Y7oRqWPT4MC6tiHQSiMc4Gc9tgkYxeCdNx13xqxVpb7yB7Fm4Ni/u58BoWZz+OYSHbyPqoASf9OuDWYHT1yQwWoiNBAIZFKNvBdFw9fgZL3kkVwJ5jaIPFru/EC+39SIG8ZRENC7mHwnvaky1VOS6xc10erFFayMPilzhOBbE8CYXXPfFjT1MJnm1LmibXz2nfoG4gmXGugs2wSAwN1p8NIrqV52Fx/tYMS52CdlS28lQmMlOk5pe7hNwMS4KkDrcnGYmGRRolJDIsljtx3Pz/eRLbO3rtlY1hGPYLMpAvSKnwMGCTSkMAhkWMguIZFm+XUMJ0V60WXUKqiA4xD0vWpkslDItEdMsMFlF0K+ZhETGoDIsQ5mmLbgvuUFHDILWEhNT8dPWXIVFCzCUkK5GQMI1QCbBE91Ffjr+/Mpr8gLHNUuNEJgAV95dNULmCe/I2S32O7f6zVZuwo7NY8VhqsBj8ClnKsAi7ZfP8++fHsNB3I2EQhsXHJUT3cxgWt5HmBYfFMjjmzc/zyYU1k/OIDAt7T1nRQG+GhUXoOQsNarT7RS4xDHi4hLzuid/kbgrRbQnT4HLV9Aw4bk9DsnAKgq6+okxBXJABhEU2nP4vZVjIRWoNS52CDiopBYPCQAdNVaVkhpFNaZeoioadsT1kGhY5w8KLEot1Rtxt/Nvbe3kNC0uEJuRh8cuyKQO7P0EYFnZ4VS0hL5eQbMUkCjtVdV/UDIvzmVhvg2dY+MRwOZFhqQENi18eFjbB5PNyhsXOwyJQ63RionlYmMEypllihJdubFtjsLooLoOFsSW2S8j5bvknjsPKy0/BuJaMpxCdIgjNns07xr4Y2s7ewx8+9gb+5SfP2NvLQO+ti2GRVNgNW62ZTpSm6eQiYudSJfSjdH+DVHQbgmExTSFxn3c/tyw6aTqfi+8He7/YQqTLgzVy52HhDXE/hoV976VhkYX27+4ewC1PvInNu3s8j58kYlfWTmr89pbYJHE+CGGv2AyLzLCjizLWj6W1hAJEhw0GtMESAvSxOgaLvAPTAZL2B1noYTJhYOYk3rdvmnCVXnc0LIQq9MzD4gwGLKyZukv2EP2NSRgWMaw5ioaFtSGIhoVNguzFmEhcZA0pE+zdlU30sonoC6cdhJZMEhfPmw7AuV/laFhkeViYMcZWIHYl4dJGqiyfYubOSsIVpSYyLCnHIBH7JvWve4lumeHW3Z+3jcCxEtaQHeug8SMCtV0MT2daIZmGZeroJsyc2Fo6j/u+BxHdqsAmPMe45ydFAHhrZ1GvIDMMskLIuKgr6enPud4xMbTY3yUkMCylyZ25hHYrtHYDOQnDQj4LslihFbTpPQlSsNFR6andauwaRgRgWJw8LHIxuR/Dwpip/qw6rFlmyHz5nnX4nz9uwP8+/qbn8ROmyS0y7RQIpd/MwEwn3QtYGWT9muVhkbnO7Dwspo9LSGtY6h/UMKEdSvbAaUfi9CCSZ580Dfzy03PwoVmT7c8ow8LeZVoanEHmdXDysDjtZk345gcPx0ePnwKA1xsUBZby1PzluIT8cjHQ47OBavLIRtz+qRPxmy/MK4aQeoQ1y46/38hGvHDVP+FbHzqiuI0QMcDgZljcLiEnSsji/gecwZEZQnYa+KT82sV8C9WASnSbE6KEBvLusgc0D4ujYQG3X/FvfmWeTphobXBHAzHD8QukbIQXRNcecw2kBYNc/FvWJ4KIblWQCdQB+eQnc1v2CwJOMXJHlqSMY1jg70bkDBbTsBkWlkBRVbhvQMKwhBXcs2MkhPvht2++IK8lpEo/wBg3r8gnWaZbejy/8Yjdt4F8PpRL6Ok33vM8LkPRFUP+N/m+xFx4boNFfjzKxLB9mMEiZVjYsyKRa34uIc2w1Cnog6WrZzlrQhkW78k/YRpobUhh+pgm5zPDnTo5b2tYTG4717ldGhbH2DINh5LfQwo3GqZQrblsg6V47m17++zPDhjbbP/99bNn4utnz+SujwrjTj1kHI7bf1SxzbaGRcZkyd9kev/9NCzsEOzFpOOuyLDQs7FrZJMUY07sVZ4wODZKJoRKQzURMgbNZomy7jZxeVhK29suoZQ7SohhVHNKuiJkxzr9sAn43ZL34aj92jzbLoaPMoaFPVt6Cr/6WrJ+EjRUlBmYefIOqc4jc1v2ZfnJr0uYSPqzBc/EcYUADAvru0ZJm8CYAhYCvKtbXriPGljs/Rf1M34YELRFzjUEcQm5z6NyCbU2FMct8f5RiIxFPm9xomi/yCVmJBcZFvk2qjE8CBJCSQmxvbZLKCDDQrcb2cjfH1mEmF1LyKT6PPdxeQ2LNljqEvTB0gFS1oF5DYvzucy4cSqM8q4eURQlyyUgcwk5UULO/jTCYaRtsIgMS2m1ncu7UoOHBVsx0LwcdEBLmg5zsmV3D5Y/+RZ2lbIEi2JVm2GRvDhBaoM4Ajx5lBAbpGRRQvY9ZDeQ3O6kwD6wic0W3QorTpa3pZrVmsVzsVsgRgnJhHV8HharxNS5XUJUzwIUK5nLxm86qB81pc1Ty5JJmq5n25fl76+KYZG54mT9JKD+Em+924UsYaASwiRDITNGRU2YGLnTny+4awmFLH44QFbOgONOsxkWRaVhaqhKNSxBXEJMdCvcD79xgzIsFKr3g12TymChQlW6SKFjrl9YM3OleaXml30cNL8LzWxL28ki22yXkKhpVByfM1iaHIPFsixX1WaAH+O8U/M7f9eSwaJrCYUAHVToiyZ7MVMqhkUyANgDYIIOwMSlIxzHL6zZYVic/ewoFwNoa3IbLAbUqflVL64XUyCuttIJkzPIUgnT3n/Npt1Ys2k39x2FaQ8+8ighP/hpWFoySezry3mm5mcTBjcxCpWM3XlY+LY1pd0TQqWhShjoRAk5IckiiqJb5xqKhfKKf8sy3TKMVjEswrPyKozXkEq4+lCfENYs0xqJn8u+dz4LNsn8f/+3CqfPHE/eIX5SpJA9275sgZs0xTpXsogUPq1AANGtEEHYaCeOK05aKpdQlmNYIrqEhH7P4MewBEkcRzEiUxy3VKHa1EVHhfasHYYhHy/5cziMo9olFJ1hSRKBLd2PtV0M3acwDffzoIsFlmU3X7DQly1IDTuqw6KSARE6SmgIgD5XzmBRCGll38sGAJEWBIodmb7MvQN5u24RfenkDAsvSizmYXHaLXMJ8QxLgUs6pHpxRdEqBRvUP3XyAQCAZR8+ipuAEoJansLFsHi5hAJoZMRCaEBxUGTUNxPzORoWZ19xFcK7hJj+g9eFqMKamYujqgyLKLoV2DpZ+DEDjRICiu1mE68fwyJzt4iDuteqNJM0XRoRMXEcPQU9X5AQZiBcqOhjr72rjBKikD3b/lyeW6iImVqLBgu/D3XLWAHCmkXBeLOdOK7EsARxCUVNHKdwCfkZO/R7ehpVpBV7T1UMS1IYX4Ci0cTspqRp+LJqtug2l5ey4cV2B3dNizBNd5QQ3Z8xLLJgBWl1crJdsYxJ8e99/VnfQqROBKT7e3rttaRh0QxLCNCOGsYlxEUJeTAsdEDnE/tYOPY7f7Ipce7FDMCwWFTDYjoaFpql1zCE1PxCLob/uP9lnDdrMubMGGN/LtYlkeEb5xyGfz1pfxwwthm/fPZt+/NUwkC+oDJY+M89XUIBeH0xTTfAC25HeLiEvBLHpQR9Bxtok3akAn8dbNU7mGHNTk6fkoZFMDYoaB4WoOjyYv2owUPDMiKTtJPpUbgYFg+DIZMyXYaHmPxLKboNOHmECRUF4HIJJSSGkdIlRJ5DEIaFSxxnAXmfPiO6hOzU/CU2Yuc+hcGScwwd5oagUWyqSZvCzsMS1MdWgmVZZEHgfK5iZlok1aQpqHHN2lKwxPfa+6Gz+9afKygjHGWGWBiGhW4rlhJQRQkBrP38ydPCNY/IJNHZl0Nnb05asZ4eizLwIgocw1I7BotmWEKAPlY/lxAX1szlVFBrWMT8KtQCpi+pX2p+mYaFUoGMOtztihJyGBZxRXfns5vx8Vuf4T7zYlhoW2aMG1EUcAovquodVzEsUpdQKIbF2b+PCG5FQ4I3HIu/HdEtdQnxYaA5QcMiPpvBEN268rAwg0XQsMhA09wDJYZFsp9o9GSSptQYEdlAb4YlodQnyfKwyFgxP4RhWADvKCGadFHEgOBidWlYcnkuHxLgrtYclGFh95jpsljUCQu7FsEmIxoRlhX0M35g1xw0iyxDnksc55xIxUCOkESeUYgMtdg+0R0jA+8WV1x8GQZLwjQ4k0mUA7AK8jKDRdZ2ul0iYaClJEx+t7PPvTGBadBadRa++cB6XHHPOkeUX6MMizZYQoBaopTZCOMSkq1YnE5LRLeGsxYQczvQc8s6sZ2HxXTOT9vAGJZ9RJRlGiTENVcIlI01rG+TW1kImRwpVAaLjCoOw7AULMd4ZAxLY8qp7cGOL8swKWNY2PPK2qyFxX1uCBqQJtswqp5LSJU4TszDIoNp8Jk5c3nHdcEnjuOPUUw/7j6eaKB4DfJFl5D8+7RtsMgZlqAaoYBzjA2xD9D22flsFM+WJosTs89ShoX1nbAaFiflgZthKRQsvLFjn3Q/OzKO9FV6/8IUPwzLsBRoWDM9nlLD4m2w8AyL82yYsFjMMitDhqR2UF26nFEPdu0qt6grD4vEWPczWGhx0e0d3gYLdcn3DuTxi2fexm/+thW/e3EbLLLABbSGpW5B53DaeVRGiBiWDMgHAJmGhb5cYhGroAwLpVvp6nCkJDrDNAwuYsRvRQeoqdnJbfLq05woTqihQSGu1OywZomlH0jDQl5+9qxsgyWdsO/7gM2wkHMb/H58HpYSc5PnGRaRSWKQ5bmoNNwuoeJvMdOtDDaTQAwzthKWpeZnSCmqy4p5OnwNFgXDIkvNT08nllxQITzDUvwtc+H6PVveYBE0LCQixWYDBQ3L37d3BmojuyaqYdm6txc9A3npJDhAWEUZwxJGwxLkXQSAGaX0BqcfNkFaSygywyLRsADOhJs0DRg+LqE0YVjCiG6D2moJ0+CMM8YQs3GiJ6t2CcmaQxcLCdOw71G7L8PiLBipgXjr0/9wGWrVDBLwQyiDZdmyZZg9ezZaWlowfvx4LFq0CBs2bPDd795778XMmTPR0NCAo446Cg8//DD3vWVZuOqqqzBp0iQ0NjZi4cKFeOONN8JdSZVhGLwoVkRC0KAwSEPipFEPzv4iwxJcw+Kcn4puWyUGi2GAdwkF6KSyWhWPfXk+Hv/KAun2IsMS2CXE7oOE9QmiV+AK1TGGpTSBNKQSDoNDVpsMTsXr4v/0bDTbcb5gEYaFv06GwRDdisa0O0pIPQSwAY0aZrL9GoR8KamE3CUkzpdeBossSohB7hJy/pH1SxmC5mFhsIjRX2wHNVic8G8ZqBtITM1PV/My92XvQB6PvLoDAHDOUZM828juMavH1TuQw4b2Irty4PgRrneOaY0SxCXMC349T2e3HwiWYgAA7vrMSfj2h47ANecdYT8DPnGct4ZFBSXDQnQ6/gyLs2hTZ7p1fxaYYTEM7lrZ2Mbehd2l1A4sIorCz2ChDMsOP4OFLojJ8351eyf+sbOL21aWo2mwEMpgeeqpp7B48WI888wzeOSRR5DNZnHGGWegu1vuHwWAVatW4YILLsAll1yCF154AYsWLcKiRYuwfv16e5sbbrgBP/zhD/GjH/0Izz77LJqbm3HmmWeir8/7plcbomGSECYzCtohgjIs9IWjDI04wfml5nfXEuITxyVMwy4kxmAYBi+6DcSwuCeG8S0Z1wTGQAcRsbgXhdslVPwtmwyCTDp0YmSrR2awNFKDxSMPi8OwkOtJ8Md18uTw4dsMNKxZpmWqBMTcM2K1ZtWzAkg0TMKZyOSZbvnnlU7K9UliP/YU3UqihOzjS1xC9BkH0VYV9w+0mQ0xcRxFgyQkmIJjWErGix39lnP6g5jbBwC2dfSheyCP/UY24rhpozzbaOdhIcUPN5TcQYdOGOFauQ8Q7YuoyQKCuYSyeTez6IXxrQ24aN50tDSkpCy0yugTMx+LoGMap2EhBovfeEFdQl6CY/H9DZ44zuClBfbYX/zNmJGxLe4iobKFMadhMU2bYbl99dve7TCc90fsszR6FKhjhmXlypW4+OKLccQRR2DWrFlYsWIFNm/ejOeff165zw9+8AOcddZZuPLKK3HYYYfhO9/5Do477jjcfPPNAIoP/vvf/z7+8z//E+eddx6OPvpo3H777di2bRseeOCBsi4ubogdxivxDqXcgmpYRLEn219M5U4XnsEy3ToTDTsmTdrFTss6f65gBVKGy1xCXi8uxzwINTUoZIUgAXmUUBDIGBYWGtmcSbo0MjIxp5foFuBXIbxLiKzCSVHGIC63OCCONWKm26LhKN+X3XcaDWUnjuOihIRik6Y8ZF28Zj/RrcrFIEbBAVVyCQm5ePzS2lNQNxAbAmhEiuhukh3nrCMn+hoFzMXAkqz1EIblkIktLhcg7fMyDUsgl5AiD0sQ2C4hj1pCQPG+iEVNGdIJE9/4wGG46oOHO8c1nGgcm2EJ8Lw5l5DHOyp+FSZxHN01KYz97SXtybgR7lpcUoNFYJVGNQUrLEqjhMRxVWQo65ZhEdHR0QEAGD16tHKb1atXY+HChdxnZ555JlavXg0A2LhxI9rb27lt2traMGfOHHsbGfr7+9HZ2cn9VBpiJ6WiVhEJ0z3ZAYooIUkYbMKgYkc1w+KtYXHaZwmrw5FN1GApfkhXykEGfdlK1tNgMfmXS8Wixl2Dh7aJTZpsxducSdj3k/rzGcRJjV4eNVjoS07bzzEsKWcFWC23kMiwiLWEkqapFC6zj+1stzlVpluZhsV9PHEi8kocl0mpRbesVpOpeE5BXUJhGRYaaQfw4Z52JFsA0S1Ds53zwzEEmftNxmyMbk5z1yxzkbBJuZFoWN7eVWTADxznZljYebiw5pCJ4/pzjvEbFtJaQhKDJZUw1HorA7j01Bk4dn+efXIMlpLbK6HO/cRAAw+8rt3FtgfsTEnT4OYAV+I4VjxUYrDImsOJbhMGLp53AM47ZjJOPGC0pxFF88G4SyG4a13VCiLnYSkUCrj88stx8skn48gjj1Ru197ejgkTJnCfTZgwAe3t7fb37DPVNjIsW7YM3/72t6M2PxJEW0PUN4jf0ZexP5fHnu6sNEmPLbwSXUKQdyi/1PxuDQt8GJbiZ7Tz71Sk8qaQGSxevlxewyLXOQDhooSCgK228gXLzbCkkzZjxe4zFyVkisfi22UYxftLJ0nOl041LGnn84F8AY1Qu2PigitxnM2wOBNVwjQAyRzP7gO7hixJwpVJmvY9Zcm2GFKKsGZRNO2bOE4puvWOEgpKXoXVsDguodJEmHUzEarBXWqwZKiLsPhZwr7XctaWsgS//sI8vLevH//y02edbUzmEnJcGywHy9gRaaVmiSYJZJqshGmETM0fgWEpXQ6dxFXRgKq2q9yrSdPAAGkfrc+mQjqAhgWIbrAkTN4lJL5jDFKDRdIcMUrooPEj8IN/PrbYxoKFG/+0Af/35Fuu/UzqEhKuUxzXi/q8QiQGLW5EbsHixYuxfv163HXXXXG2JzCWLl2Kjo4O+2fLli0VP6fLb+njEqIumQtufQYnLXsM67d1uLaVRQkZhsNAiJNOghPdutvJBi0+DwvPsFCDhb3EqYSJ/UY2AgDe3tXjPjDBbX/ZiCvve8l9bo/3lnOVeKx2XFFCQmhxFIjZbpkIsugS4leWfNg43xbxfzbIU0ZKFcVFXSdBRM1xQBXWTOtSqQwH21VIdBVONIuJpWfPxGWnH4wxzby/Pa0QVLv6sZ/oVsWwSFxCYdmSKPvYkXal95KGe7L7rNawuLOONtuJ0Iixa7rDmhmKScec/1sbUhjfykfkObWEHCOS6SJGNqkNloRp2MwVvY4omW4vOHF/AMCiYyYr92GQhTXLRLeppKnUW6ma6HIJhRLdqqOEZOcMY7DIDivuP2aEW8MiQzrh3BMxCs80DWm0ETsf21x0CckWorXCskRiWJYsWYKHHnoITz/9NKZMmeK57cSJE7Fjxw7usx07dmDixIn29+yzSZMmcdscc8wxyuNmMhlkMm4rtJIQOzCbu1S6FOqS+dvmvQCAX63Z7NpW9GMW/3b0El55WLwYFvZNgTAsjvvH6ejUcJh34Bjc+/w7AIAJrRns6JQzLdc89Kr0c69VK5/hUW6wJCXCuKCDgReSpoF+OBWvu/odlxAbcFmGT75as/e5U6VVHOcSouJiQYCbNA3kClbVcrGoEsfZDEvCUCbfE6NhciT81jSAT58yQ7qfKkpIHBi9nuvkkY3Kich2CXkYlkEQNaxZ5hKyE/IpnquYewUgLiGJO1FmsMjSuov30BFxmmhrTKGjN2u3e1RTWulWEetGDeQLaEglQtYSKu7/rQ8djg8cNRGzp6ulAjbYGElOJLuHqYR68lU10S6dQRggv35CIyVDMSwS17EqI640UlR4jjKGRQaaUkC28FDdM6qxVFWxp+jPFtAUzIaqKEIxLJZlYcmSJbj//vvx+OOP44ADDvDdZ+7cuXjssce4zx555BHMnTsXAHDAAQdg4sSJ3DadnZ149tln7W1qBWI/Y8aCjJI0DcP+XlUzg0Fe/NChL8XJza/4oa1hIRobWvwQENxK5BAnHzTW/vvEA8ZEWrmq4BLdSnqfvOgX34gj92vFbRefgD996dTA5xZ1MD3UJSQIHWXFD1VtYTQpW5WIBhd/zfJcF5WEKw+LxTMB3gwLY/6cPCz2pG26B2gGVR6W02aO5/5XGSzfOe8IfPLk6UpNhFNLSP2cGP799INx/xfmSb8rV3RLDRY/l5BMV8NcQvQ7cZVM4epbpiGZKJ3/6SrdMIqs6vSxTdJjmyYv4GTGZag8LKW2Z5IJnHLwOM8INLtdpd/0LLJ7mEqYpVwx7memcgmJGhbT9MvCIpQn8bh20RgR+3JzWs4FiC4hBjFp6OjmoAyLt57Ry0C1xeOihoUwUmKOqsFGKINl8eLF+OUvf4k777wTLS0taG9vR3t7O3p7e+1tLrzwQixdutT+/7LLLsPKlStx00034bXXXsO3vvUtrF27FkuWLAFQHHQuv/xyXHvttfjtb3+Ll19+GRdeeCEmT56MRYsWxXOVMcFFA9ouF/e2NJOgXwirIUwMgJCHRaBIVSmone/5FaiYhwXgXxA6CM470KkVNOeA0bGwG7K2qsKaZZOn2AbTMPD+mRNwyISWwOcWM4h2D7ijhAakBovoEuKPK7qEXJksEwLDwjQKg+USKvCfy1bpDI6r0GFY8sKkzSA+W3rIo/Zrw+Nfno8j92vj9lEZDHMPHFuMElK5hOxaQvJj3fwvx6KlIYmff+pEXPFPh7jEmOL1BYXoEhKz0QI8O3D0lDbMmsJfMwXT/tBoOy/hqikINk3TzY7R5zC22VmltzakkDANfPtDR+KMwyfgP885jN+vtOJO2f3TKl1XeJdQGEhrCUkZFscYEqFqoT3Z5hzj3DesOeUwLF6X7qdhYXlwRIiJ4xiaSQTU6OZ04HFX1LB4fS+2g22ucgmZBtH01EikUCiDZfny5ejo6MCCBQswadIk++fuu++2t9m8eTO2b99u/z9v3jzceeeduPXWWzFr1izcd999eOCBBzih7le/+lV88YtfxGc+8xnMnj0bXV1dWLlyJRoa5BlTBwtul5AHfWvQKJ1gx+ejU5wB1R0lRLbzmOBtDUvBnfSKDi70HR7f2oCTZoxGUzqB+YeMc73gS3/zEr77J/9kgTLw5d/lbgNVxBVF2JVx8Rhs0i0ZLLZLKOkUV/SoJWT/LxyX3UexkrD9vaDbcSIxquQSEu6nKLpNmup8J65Mt3lHCyU+Ey4DsPBsWxqSmDFuhOv4ftqZqKLbDx49GS9edQbmHzJOur9snyAQjX7uO0HDcvG86fjtkvdhXIt6DJNpWLyEyCKbImVYyP50lc7CXce1ZHDrhSfg/QLbxfYTGcBAqfnLCWsuNZfLdCvTsJTes0ZJaHNQDYtpBqgllAgmurUU6QIYvBgW2QL2BOI+C+oOAoRMtxKDUaVZMgy4xj2GXttgcbKfD+RrIz1/KA1LkGRXTz75pOuz888/H+eff75yH8MwcM011+Caa64J05yqwy20Kv6Wp2o2PA0aGagRQRmasC6hpLACpcUPHZcQz+ZQ/L+LZqNnII9xLRkX1f6rNVsiu4nE/CSy8U0VHUERhfVh57YZFtsl5IQ1y/OweDMsScFgEdX+ohtssF1CoujWi2GxDQdm7BWcUE+XzshlsJDvVMdXMjtuo5rCLw+L17H5bXw3ke8neefygquNtd2rVhNbVfMGi7dLiD5NKpy0PyNNoy6hkYIAQZVNuvh53jZCguQ3zBIGIyykWicPhqWtMaWsPC1CyrD47MOel1/yTHHMdxksiiR3qnv0PuKK90uQR+HHsChF1kTDIo65jE1JmI5uSFWGpdqIHNY8HCEabF5hzTSPShBaFRBX9iQPi4dLSNb/vWoJiTS/7BjNmaT90sgMoqjBOnQFoCp+KBsk3C6hCOcu7bRlTw/uWbsFL2/tAMBcQsVtomhY2EBKNSyy74t/GzXgEuIZFtomESY3ifHVmv3y08gKSIrwZVhUmW6TMg1LPJNlEMjeCSdKiN1X5sLwMFgybpeQVz0e0+TDjGUMC71nY8hKXUwo5iXWLV5HcA1Lv22kRWBYSr/peWTvRpIYLEEhSxzn98xZ1M2AT5SQy2AR/lcluUuYJj549GTc8sRbnPt92hhHW7TxPXXmeHd7qYbFff9l9aMAJuAu/u1KHMfc24aT+6ZWNCzaYAkBV+I42yCQswJsMAmahZ1LzW8YgJ2HRWRYCDsi1bDwK1CLiG5ldVC8XuKog7oMYlFA6UpVZrB4CAuDgt3bf//VC5wqniaOkxss3udiUUDsJRcnWVFvJDI9lYZKdMuMYNomEWKOiJe3dkhDvwG+H6aT7mgWGZTaGbj7KIXcJSTd1BNRIosAwJDMAaJLiE2wXsJTmoeFwcutkjD551l8dmIoq/P3GM4lxDMs4jNn9yLNDOocb9h6IWzxQ9l5+cRx7nOygq1hDBZ2b2hYs69LyIdhMQw+rxWDmK9GxZIkDAPNmSSeunKBULzTwPQxTdi0qwfHKTRXXu0FFAyLguHjNZJ82/uISLnWNCzaYAkBV2p+Jr6TuoT4PChBwGtTnEHYFdZM+iCdOKaMakQ6aWJSWzGXinN+d5ZOOtB5Ddwx2iucoZVKuFeHKohGWRSXkK1hkfiaxVpFItNF4crDkiz+r3YJ8aJbWeRYJeHHsBSjtVSDGuxtAOD//WWj6zvnf7VLSGX0+Yl9VQwLW73yVbWjMCyhd1GeS3QJsYk/CMNC4alhMU1YRDxBczU52zj7e7mERMOI/ZuyNQuMYVE2xwVVxmQvsFvJ1xJy3GrsnZw6ujimRWNYHEG8b1gz07Bk89JrNw0DeZLXikEcV5QMi6TSOMO9n5uH2/66EZ+cN92zjXx7nfPIDEb6PdcO05m/xISONIAgI/SHwUZEL+7whNh/vaKAqH85qMHCu3rUFrAqNf9tF8/Go1+ab1vFNsMCyrAUP6O+T6+B2884EJOGeUFkG4JOGLIoobBQTQQ0cZxdL4ibbPntxaOIKbXdLiHKKvHJBKsBse/Y+UKIhsUvrHnr3l7Xd165cpKmyRmZKtJAZbDaBotixc4q0vIrVPk5vFCuS+i2i0+wP2O3WXQJqaI0ALkwM4zoFvB+N8Y0h3AJCe6/rK1hCd5Poywk2B60lpBdmJNEBE0dVXSZhGJYmL5sgAnig2tYBvLyWkKqQIrAoluPPjeuJYOvnTXTlQzQC74aFg+Ghb0/ojFCRbcOw1IbolttsISAOtOte1svg0MFPhaf5mEJlpqf5n5h/7P2iWJJPquuuk1+g/ra/1zo+T0FH/rqn8RJ1YYggkqvc1PQKCHZtl5aDcAxSPqYS0iYnd2RUcW/g6Q8jwPiQMq6cN6uJeQvuj3ziAmu77x0RekkT72HdQnJItkoGDPBtjOMqInjQu9inw8A3j9zAv54eTEXkMolpNIQAPJVuJdbRRYSq9KiAMVU/Awjm71dQsoooRAGSxSXkKyWEDPm6WQ8JYLBwu4FK4uQTsprXDH8+/sPsjUb2bwlrV2mYs3F98wrrDlOcFFCYTQsRLIgMviO6BY1x7Bol1AIiHMM6/zysGaSmCdglWE3A8E6VLAoIdVqy7IsewVj0/yCcaSC10SQDmF0AG62IUw6a4oo77ySYUknPMOmxctTpuZXMCx8IUSDMyKrAVWUUDaAhoVNYpedfjD29mSxYtUm5zthF7dLSG30MfgZLCqX0AjbYCkdJ6oWJeJ+Mu2MyiXkFfUjuoQMw/tdlGVJdRnb5H9ZWDM9lmy/tCAKD+USiimsmZ2TGixRXEKsXzOGJZNMKO/vi1efgbbGFFdCgVbYZmC37ckNOzG+JYOFhxeNedGwG6HSsMRssPgxLF7vmC26FeYXpmFJGAbSLJFejWhYNMMSAi6GxdYjyF1C7N2gNUe8IOZhYfylGCWkysMiDl6Of9iyI5lkIaPeg6S6vU60hnob/li8KyuwS8hjUA4KT4ZFmFR4l5D8njIww69nQK5hoX59KjSulktIpWFhRjQrYiiDw2AYmNTG09TiZO+lYQkf1lz8rVqxM2aCnTOqayfq3CF7/1RRQkzjJIPIsJiGtxGfMHnXidgW2h6gqFth/4qiW9G4ECPCBkqiW8YcNXiEZzNECWuWiW7ZOEs/K4thyRYNj3TSVLqE2HEbUwl7v47erGs7dp/+4/6X8enb1+K9UpFYkTEVC4KKbYoLXKBGCIMlQTSWqmrNptaw1DeUUUKKsGY2sQZlWOjkZlnO8YPmYRHHbdo+sfghL7pVt8lrMmAGS1ADghZ5NAx/ARyD16AcFLKEUwAboITzeTEswv4sMZwT1iy4hIRQbi+hdiUgSxxXrAlU/D+dND3Cmp2/3SJNNeslMiyq/qGOTnKOI0OzrWHhtw+LOAwd2y0cwSWUSpjc96Yvw2K6GBbDENxvAuM6saSHmCDoIlwMGRPdKsKag6TZL4dhoWMrO+d7pGI8Y4iiRAlRl5Df2GEYBlobiv1rb4/aYGHYvrdYWDKo6DaKUeeFTFSGxaR5vrSGZVjAa7VsmM73/QENFpqnxAKJEvJMzU/2V0wiBWlq/mAMi6fBIgkv9YJYM6maLiFxhWkfyzRcDIt3an6BQbHzsMiTZ9FBnObNCCNmLAcylxBdLaWT6ighsW4NhfgM6FlEV6FqklCKbllYs2S/JFn1lc+weO83ua0Bh01qdbdP4oa1U/MX+MRxXhNUKmFylL5heOcJSRjytO7ceCAYnzd+bBauXXQkDhrPZxo2DMPlggacKCHRYGkMYLBE07AUf1PmiA131Ahg97ytKQLDUspq7WU8UrQ0FM/BGBbGLl7xT4e4jGO2jciwqBipympYQhgsXi4hkjhOMyxDCF6r5QRZ+cgYlpNmjAZQrIjMQAeQgmXZq3mxQ3HCWsmgY39H6NYwieP4c6m/C+sSYtfHmKTALiGP0M2g8Ep3LY6zvHCZ/87tEioNiiXftyusmRyACo1lrFwl4MrDUrC4/phOmFz5AAo6eYrXJU6s9DxJoZaQyjDxE/vKVuxN6YR9Dx2DRXoYX/j126OnjMQfLjuFi4RTsX22hiUnuoTUL1BSqEBsGt4uWNOEvfrnPvdgs+YdOBb/etI06fFk4nKmYWF9hPXTIAyLl15HBWacyhgWGaJoWNi7mfER3TK0lO7xnp4BAMAXFhyIVV9/P774/oNc/X5vb3EbkWFRsU2VdAnJDMb9RzdJIzkThhOg4XIJDTi1hDI2w1IbBosW3YbAiEwSXUSI5RvWzFxCpQ7RkDLxyJfm4+k3duLcWZPx9ns9mEaqp/IGi3N8UcXNrYwCsAEyhoV2dC/XTBCXUFiGha0Cg+7njtQJ/9J7VT9NuPz56nOJgZFs1dablWf7TAoDiijSrDSkDAurrWIU2+dnOADuHBteBotLdKv0o3sbSrIBmIoZ2e6VYljYJbu0Zdwxir/ZCnsgz/cDsT+kE6azjWlyK2Qq1JchaZo456hJePTv72L29FH255yLOMSEmEqYXFI12l6RYfHKJ+McL/xzsC+XvA/szyv+6RA88uoOfPH9B9nfjSwzSihIX2EGC2MaTNPA5JFF0a94e22GRXiflUUHo/ovJRADF2RMaSphYvXS0/GP97pw1vf/bH9uGGrJAXMJFRkWnem2bnH7JSdi6a9fxjc/eDgAbw2LYcCVmCdlmpg6ugmfmFNc8RwlVHKlnc+yLNuQcOdhkQ9QysHUchc/jEPD4mQcVe9PkRQiJ8IaOkHapIKnwSKKesn53Inj+H3ZNfWTl5yCj4xyjINBcwkVHBclG1STAtsmK/LnZhaE81jUYBEYFlUeFj/RrWQAplokZghF17B4f+8I1J12iG4F1necGk28S0icxI+e0oa1b+8pfpcUGRbDU2ORMIsG5v9ecKy0DewYQSFjWGzRrVCtORDDEkHDYi/6yGfsnIdMaMG/n34wt31rhDwsbPxMJ9SiW+4cDUJElcf97ewtLmDF90zFsETR36lgCgaLyv2YTprufmtSlxA/gbH7xWlYAsoaKg3tEgqB4/YfhT9+6VS87+BioSqv1TKtWxE0dTWdHAuWpazWrCpcqJrYC5bjIZa7hLwYFnV7bYYl4EvI2s3OHZRBFtsXhVb1SnDn1mf4G4H2vq6wZnUelhSpn1StsGbR2C1YlmOwlNpOV2YsGgPgDQGx74pGXp70UVFQHdYlxPYd35pBYyqB/UqrWwD2ig8gLqGIk4Df5M6+pdeeESZu0zZAi0aoyyUkTBR0kZI0+YnEMLxX4CqtEdWthLEZxESVtL1OHpbi95WKEmKgDIWY5JIiiOHktIdvcyYVlGHhDRaTW8Dw26pcQkH1MuVAZFi87r9sDFUx+HQbW8OiDZb6hy24UxTsYwNvv22wBL/dhYJadKsS2ooDN3tf+VpCcLXFU8Pi8YJnbIYlqMFSYlgULqGFh43Hg4tPdu0nTmxRBsYxEg3LiQcUdUSu++blZlO6hJxsmlxbuSghJ9y3WrWEWEi9Qc47YDMs7mrBU0Y5xoEYqkwhMk+i0R7EJaTqN+zj1oYUnrpyAe7/wjz7OzpxlusS8otSmzGuKFSl/U90jVADI1+wSFr5EnslTJpHTqYGi4Rh8WiS0vDzWLR4ISkxdNKlMGxWEM8KwbBEiRKSJ47jv4sKcZwoisH992sRdEJ81CB/gL3dctFtlHsRFgmXS8jL2BXGMYnoVhy7EqZhj28rVm3CDStfi6PZZUG7hMqAqjw3+449f8clFPwFtGApfYz0dF7iRrqaZy+UTXNLVlcyBNOwKDfhYEcJSVxChgH89KLZnvsxeAkZVaAuoUMntOC/P3wUZk5sKR2f35bXsAgHEhkWwU/u7RJyBphq5WFhya/aGlPY25MtGix5JwcLALzb2WdvTwdreil+UUKiARZEdOtXEgAAxrc2cHmM6MRZruhWtd9lpx+Mrv4cvrDgQAC8fkfUJlBjrGA5CfnYc08LeVgOndiC6WOaiuGzjSmX6NaLLVIxkrLs1kFAjSk/DUulooRYc2n3sd3XZc754ruYTiaQG3AngxNvmeh2ou0QH8/ukjBXNNij6HnCQqzW7alFlCz6xNT8DakEsnleo0lT+//oqbdw+cJDPMtNVBraYCkDtv9akdhNFN2GYlgs50USGRbqc/QarNh/BctyFz8MKrr1GEDtPCxBXUJCqGeQSa24nZzVCAPqEmpIJ3D8tFHOuYWR0VPDIhyX3UfbKPVKzU9o2CrZK7Yh1dpQNFgKFmVYim3b0enku1AxIy6XkPDM3QaL/8pP6RIS/qf3MMOFAbPf0SYH1eR+0owxmHvgGGk7XQwLZ7D4u4TSSROPXjEfuYLFUe6sPX6iWxmiMixBNCxsqAnEsESKEiqCC2su/al6rhecOBW/+dtWX12FmHspnTTRl3UfU7znYiSWF+O6p7tksIgMSxUm9YRQs8vrNRDH16a0O+tvYyqBfX2OwUIZFqD4XLbt7cX0sc1ltjw6tEuoDLD305U63175lQyWCOXXOdGtcHyuxDw3wQjtowyLyyVEX0J1Ozw1LAkW1hzsulhBMLEWDBCOzoxi4dNwSFf1awUzJbZR/A5wwkAZvIofUjdhtVxCLKqNMSecS6j0/HbscxgWnvWi7JBPlJBggdGvo0YJOf87f8fKsAQUA9NnSDU04rnzBYuIbuUuoYRpIJkw7etIk+MZhn+mW7/2hmNY1AaLWPwwkIYlSh4WogFicMYq+fGWffhovHj1Gb7HFlkhVS0h8Za7XEIe99dmWAZJw8LVhPPYVrzGBknCTNHASxiGS7O1eXdPlKbGBs2wlAFTMfk4K7/i734SJRQUlgWSh0VQcRMDxis1P/vKkoU1x5jpNuiEccL00fjKGYfgpBnF1WtQwZh4XVEGA3qfxPvpLiBH9hOapRLdOv8b0u+Z4JZ9XW2XEIt8KFgWBvJOmKcIztAgf4vXJXYL8XKCZLr1ixJy/nc+kBss0SwWlaEtNsuLYaHnpiHjSYVLyKsvm0Y092zQ90hEUjCmi+0p/rZFt3Zq/gq5hEq/ZbWEvC4lSHvEbdIJuehW7Aei6NYr8/Xeniw3vtrnqgrDErwem7hoaEwlXNctGniG4R5rB9tg0QxLGbBV1oqw43IYloKl1rDQKqJBih8WSPFDBlrjxHOQDOAS+sY5xTDvT518gHJb1r4l7z8YJ0wvil3pab1ePNHOK1fQJirevcKmxesXb5WXC6j4v8F9Xm2XUHcpy2dro4RhKT2/2y6ajcltDbjj03OU9Ld4nX4DJacDCusS8pyo4hPd2myjS6wuNzoBcD59QHAJFSz7XU0rXELiNbtdQur2Kl1CAYWX7v3c0YYpwcUZKjV/FJeQ5H0QUzBEhcgYqBLHiR+JYc1ebve9PQOu8RmQj1FRmUAVaKQP4M10i4Zyo8QlJD7jhCAKB4AtmmGpX7AOKDIstkuo9KyZaDCshoUdX3RhcC4hL70F5xIqtVmYQGX7UXi6hEqd+UOzJmPujDFcOfsg4DOpqu+NW3Rb3psvDjBeYc2u1b4wvMmU9fz3JddAaTvbJVQthmWAZ1i4PCyltp02czxWLT0dAHDv2i32vpzGyOMeyeDF/KmOGeTYGcGFUvzt2RQl2HlGNaexc59cxwPw/UN0CdFrK1gI5BKiyAii2zCGu+yYQRK8MchKfLBoundL94N104Zk9US3YlbuqJC6hCTbic9bdAl5pTkoWE5GXAqZ6Daq1kqFcC4hN5siXot4vxKm4boOzbDUMdhAITIsbLAWGZZQUUJEwyJGIR06ocV1LtlA57iE3MUPA6fm93IJESNjXEsm9AsZdGUYh+iWYvJIoRCcF8PiMgL5Y3lpVgC30Jg1vdouoRbqEhIYFgrVis0v060Ivt6OfBtlWLPHcXmXEDt+tImA7dXakFRmjwYEhsUjSihXKNjGsNIl5KHH8qslFER0O65FXYLCdTyJS2j/0cU8PGxiyofQsEQLay7+loluy2ZYUjKGRT1OMogGi0zrQ0GNXQD43PwDpWNURRiWgKJbses0pCSiW0n18J1dvDE22AaLZljKgCOK5RkQkap2ooSC91guSqi0/9FT2vC5+QdizgwSwVDaSLaKpS4hd/FDNx0sg1f0Trl+Ws4l5NWGGES3AHDnpXOw/Mm38J3zjuSPb4iTivO3OMi4ih8KbXFpWkyT+5wKoSuN/lzenkA5l1BebbCoBMfuWkLe5w7iEgoS1iyCGgyjSpFfYdK1U7BrTZgGRjal8F5pcBYHd9pO2T1LmAbnagPUUUIu45syLKafe1b1eUSDRcLOMoNly+4eFApWKJdQlPxIjLEMI7oNigZJlJBcdMt/KIY1z5zkLBBl+2/b22v//dK3zihF5LlZl7gZFnFcHN/SoNjSvW1jOuG6Fpfo1jRw2MQW7rPNu3q4xXS1oQ2WMmC7bJQaluL/qpBXL1ANCzv84ZNa8YGjJgnnKrVFcmhZ4jjWz/g8LOp2ePXLcpmOwFFCMTEs8w4ci3kHjnUf36VT8WBYhH1F5kHFuKTsPlF6plWwWJh+BXBq8OR9GRb53yJz5OsSilF0S0EnzkMmtGD5J47DwRNGqHcI0EbTMDCyKe0YLJ4uIfk9y8OpPQM4fVQ0YF3Gt7Bw8Ora6vvo/B3GYOEYztKxJ41sQMI00J8rYGdXv112JEgelihMF7skKrp1UjB473vyQWPw1zd3cSkKKGQuIbnolv+fMiyHTmjBpDZ5MkUGyjqwc1ZDw8IWEfd8di729WUxsU1tsMhcQi4jRszibBg4YfporPjkbEwZ1YiF330a+/pz6OjNYmRTOPd/XNAGSxlQZboVoxds0W2IHluw3JOjbKXqFSnhhNDCMw+Ll3ciSJRQVHiFZHNtUOhC4oI7Ssi98nT+5/d1V2eWMy42w8L6TBVcQswd1JAy7WdlEYMlIx1U5caamKvGLx2+l/5FdnwKr9Wb6Jo4WzDgw4A1yzAMjGpyhkJXZmWPsObicQwAFpfgju3jp3EKU0sokEtohHrS8joeTRw3eWQDtuzuxebdPU7xQx+XEC07EQayUhVMo+d3vJsvOA73v7AV5x0zWfq9y2BR1BIS7zl9xvMPHcdvK2nTpl3d9t/sWcgNlrgZluI5WMZuL8g1LN4GC7uEBYeOBwAcP20UmtIJdA/kMbIJgwJtsJQBlcaEdQQxk2AY0a1lWdLshCLsCsgevlkq8HQMFmd7LwGo18RarsHC6SV8ypIx2j2O88qOzbdL/jcgE916hzUzZsUpR1D8vBouISa4bU4n7XstixKioHMi7VJ+mW5F8BoWhcEiYwUVx506uhFbdvdi4WETvE8cAo7WDNyK0c2wqDUsgHN9NJEZu1+yonMUvIg4mkuol5RWGNsSfOXL52Jy/t5/dFPRYNnVE9glpDKm/MDOymtY1LWEKEY1p/Gp9x2g/L4xzbdJ5RKSnWb+IePw+o59+OypM/htJRu/vavH/s60DT/JAlLZ0mgIo3GWib1doluJS4ji15+fh8GGNljKgH+m2+L/jksoeA+zLPfLIRvM7EHXg32hDBDbig6kXknMvIiAcl1ChodWRETCMJAHn0U0LniGNRvid/y+LpGtsMERk9swY2wzzj5yIne86riESgZLJmlfY76ASBoWPy2GiCDuviA5MRge+dJ8dPRmMaE1OIPgB3Yq0zAwqsnRLYjN5YsfSgwWtnApveem4VyHyyXkpWExjFBaLobd3Y5eoikdfEiXRQkBRYPlr9iFzbt77Ey3fi6hKBFCgNMH+LBm/ruoaEzx9yKtFN26P1vxydkYyBckiQLd2zKDRaYJ8tu3HIQxEsWuY5puRiyVMLiFYdztjQPaYCkDKg0L60fsgdvFD0N0sIJluVbzsgHLFt16GCy0fTbDQrb3MlgqybB4lW0XYZooCgXgjrwoF2GqNYvNdDMs/P9tTSk8/pUFrv2r4RLqKmlYmjNJ+15zUUI+fnYv0W2oPCyKZys7hOqwDalEqEq9QUAz5Y4iDItXsU2pS8gUmFShQjeFZ5QQfNKrK27Orm63wDMIVBlcpxLhbdDih1ErNTvvg/MZezeiRn8xuPKwJBJSlkNmXBiGoXjW7v2ZhkXs53d+eg729mbxhTv+VjposHYHRZj7E8SAShjFVPy9BXldtFqADmsuA2ygyuflLiH2wKMnjuM/kw0KdNAVwfrj5t2Oj5WxGokaMFi4F8bn1tBJIJ2ozMTF4KVhERsqGih+LJpjOIRsZAT0lBiWEZmE01cLlpOHxSesmfYpse/5Lb6CMCzSiSJ24lwNqmHxdAl5hDUDzvWx7LD0ekVRtp+GJYz4nCGq7ctFCpLzTh1VMlj2UJeQs62MbQnj7qZwTut2CZW7wHeFNafkotsw8zLdX6w5JD67eQeN5YIkymUs7v3cXPzT4ROw5LSDAJTDavG/GRKmyZcSqUGGRRssZUCZ6dbWsBT/FxN1BYEFiUtIZrAIbI6sfQ+/3O76jE4WXkaJ18QaJkmVDJxewm9bskHclVC9Qnb98rCIuXX8mQeH6ag0WB2hpnSSy//i5RJS5WERJyT/PCzO38roFunK1vOwsYJnWIhLyINh8Yqskonr3Tl++H2p8NkwfKLlYl7xqnLPTB5ZjIrZtrdPmpr/47On4o+Xn4oL506zPwuTY4rCFt0Sr3ql8rCkE8HCmr1A34nxrQ3cGOj3fMp9frOnj8ZPLjzBjoqTMUBBwPYT+2bCdNe2qjVog6UM2KJW38RxLNNt8A5gWXLKToS3S0jdZorIDEuMYc1+g0bCZ9KIqx0A/yK7fL+i31doi196cvZ1NTUsIzKO6DaX9xbd0svzYlj8Vl/cs1UyLME+qxQMw3lPKcPiShzHiW5VUULOwiTh8Z6Lk0AmxTMsXpOE3wTCQteDIqEwrCaVwmN3dDoGC3V95goFHDqxhXv/ozIsDFR0G1dq/gZBdFvUbbi3C8ewOH8nTQP7jXJCnv0Mkri69mkzx+PiedPxhdMOjLS/UwNONFhMrphrFeo3hobWsJQBZaZbgXKT+bb9UJAk55FqWATjiG9HsM+85s6qRQn5vM0czV5F0a3YLrGZ4kTuZ5RWM3Fc9wDTsCTsvpf31bDIjcjyXEL+23h9Vik4LiEEF916uISipC/g8rCY5dHwo5vD5cZQMSzjWzIwjeK4liv1IXpJtiiTfBin6DZI8cMg8OvfDGGYBPH9GDcig3/sLLrc/Z57XIxFa0MK3/rQEZH3VxWtLTIswRmjwUAN2lD1AyfPiZjpVmRYwkcJFUW3PGQdiK0MRza5s30GfUFyQvu5dqi/KttwCCLMlH1fritKhFfIrl8elvBFAZnBMjhRQgUS1iyWji+2z/nbq3SCqm+JEXLFv+XbekW2VQPUPTqKTPZeLiFZlBA7DssqHGagd2tYAu9qY96BxczXl3iE+MrAZ7vmPxejsehzYdXi6aOKUviQHkNeS6i8vhB0/zCnEd8PWfXwOM5TSTBDTsqwCP2x1hC6lz399NM499xzMXnyZBiGgQceeMB3n1tuuQWHHXYYGhsbceihh+L222/nvl+xYgWMEh3Kfhoa4gtfrBTYqkSV6VZMihSENn3fQcVMrP86Z5qnGJThoPEjcPO/HIubPjbL9Z3cJeT+UBQNU1SSYaEDit/gUkmGpZxaQmJb/Npm2gN0FQ2WdJJjAxnj55c4jl5r0MFf7Pv0M9e2stVuoLPEA8qEtnmk9/eLEnIYlpLrN8TkLdYSijJJ/+TCE3D3Z07Cv500zX9jAi+tjZg1la+Z5HbZlCsA5fKw2MePdEif85VnJPNh/wilYakVwoIZ3eJlJwx+/KpFhiW0S6i7uxuzZs3Cpz71KXz4wx/23X758uVYunQpfvKTn2D27NlYs2YNLr30UowaNQrnnnuuvV1rays2bNhg/1+Lgh8R7Hnm8nKDRZwPggjTfnLhCXhlWweO3X8U/u+JN6XHFfHBo+WZHoMq4r0Sx3nmYYmR6fC7M/Ra4tawhAtr5j9oEkIn/Wjhama6pWHNSXJebw2L2lgLArtSueH+TMSE1gxOnzkeb+/uwZvvdpXOH/qUkcFrWByDRWTwgkYJDUiihPxADSDTiOYSas4kufpiQeHFoE1ua8QL2Mu1jYFFQ4msTBTIagnFlYdFej7pIi74/hxzKDAsQdnVwYaSYUnUPsMS2mA5++yzcfbZZwfe/he/+AU++9nP4uMf/zgAYMaMGXjuuedw/fXXcwaLYRiYOHFi2OYMKmioKAUdCCmCvNSN6QROmD66dBz+u7CDWWCGxcPtU0nRLcVgaljEe9KcUdO8YjNHCbqBWtKw9Ay4w5r9RLdh3HQUqYSBbN7CUfu1ufZVi24N/L+LZ+OtnV04/aan7M+qBeq6zSQTuPszJ2EgX7ArWzPQviczWFiT2X0tzyVUvev3qlA9SWRYyPeyxGLRo4SKv2ktobiKH0rPJ1kahTkPp80yjJAMS20YAKzNrpIkhoExzep8RLWAimtY+vv7Xe6dxsZGrFmzBtls1v6sq6sL06ZNw9SpU3HeeefhlVde8T1uZ2cn91NtOGHNQqbb0nMWB9+wtKm4v1/9FskBgnzkaZSI7MsRk1vtv+PUkvi9zLSNcRpKgJsVoROWS3QrGjfpBB8t4RclxFxCVbBYaFhzkhjX/fmgotvg53roi6fgE3P2xw8vOLa4Lzm0n6FNv63mGElFtwAwZ8YYnHLwONd2VHsmrdYsaNVCGSyCjqSac5oqDwsgcQmRhjGtDt0jqktIVkuI/V2JeyF7NOE0LLwhTjVNvlFCNTL/22HNQnuSpsFpl4alwXLmmWfipz/9KZ5//nlYloW1a9fipz/9KbLZLN577z0AwKGHHorbbrsNDz74IH75y1+iUChg3rx5eOedd5THXbZsGdra2uyfqVOnVvpSXGDPU2RYZMJDILwwzcXQhOxA8pdTxrAEcwm9eNUZeHDxyU6dlDhdQj6XRtsYe1izcKNaG2jEiDfDYgjuhFpyCWVJvhU7NX+Ias1h2I5DJ7bgv/6/o+yJLoiGRYbBEN36h9R7hzU7LqHiMw0VJSRoWAaLYRFPy3KxyL5nCzT6jKOynuwI9G2wGZYK3Au5Syj4eeimpgE0kP7ga5jXyPzvaFgEhsU0MJEYLLXCCFFU3GD55je/ibPPPhsnnXQSUqkUzjvvPFx00UXFk5cGgrlz5+LCCy/EMcccg/nz5+M3v/kNxo0bhx//+MfK4y5duhQdHR32z5YtWyp9KS7YNHtgl1BYhkV+vsDtC9jhvFb7lKpta0ohmTBx/LRR2G9kY8x1XbzbSg2W2BPHiQZLo+MpdeVokbSThpP6uf2q6RKiCbicWkKWLQ7117BEP3cQl5DsnNXVsBR/+11nyqeWkBMlJGdYvIyQTJJnWKo5SXhpWESXEP2eafa8wt6DwhbdknHG0bBEOqQPgrHOKogZnMMwLLViAKijhESGparNCoSKN6mxsRG33XYbenp6sGnTJmzevBnTp09HS0sLxo1z068AkEqlcOyxx+LNN9+Ufg8AmUwGra2t3E+1wR64i2GRCA+B8MI0cf+wGhbRkIqynUyQ+6tLT8ITX1kQa20Xv8GJ3uNyk1SJEAealgZ1Tg7ZI6B1aPw1LMXfXqxWXGCGaMIEb7AEzHRbzgo3iOiWgX47WBoWLwSt1qzKw+J1GzOChqWak1oqwZ+b4oCxzdz/9LkwhiUW0W3puHwelsppWILq+oLsz7RPDNVKHFcu1HlYDExoG+YMC0MqlcKUKVOQSCRw11134YMf/KDNsIjI5/N4+eWXMWnSJOn3tQI7rFkRJSQO+GGFaaJALOwqprM3678RfDLdSgS5pmnE7pbxuzKvSKZyIb6YLaRGiCsPi2R/jmHxeUYJe4CugsFCBv4EMa6DFz+Mfm7e8PHelt7iag6RjobFz2AhDItX8UOFhsXr+EFFt5WYO7wYlpFNaS4CjnMJ5d0um6isp82wVKCWkAzlVlEWXZ0NdciwMCNZlkNqQmvG/r9W2ksROkqoq6uLYz42btyIdevWYfTo0dh///2xdOlSbN261c618vrrr2PNmjWYM2cO9uzZg+9+97tYv349fv7zn9vHuOaaa3DSSSfhoIMOwt69e/E///M/ePvtt/HpT386hkusHFj/FEW3DtUsuoTCTfLluoQCGyyeYc1V8F0gnEsobohGRkoQQnKQMSzNVMPi/YxlIsNKIS9xCeUKBSdxnIxhIRdcDttBd/VnWKgbqooMi0JrJoJOpnKXUPG3KqO11/XzGha+LemkaT+rStwXryghAJg2phl/314MZkiYBo6Y3IpXtnVi0bH72e11jhVxAcPehwrUEpKhfNEt/Tscw1IJTU4UsD4nVrMWNSzVYIHDIrTBsnbtWpx22mn2/1dccQUA4KKLLsKKFSuwfft2bN682f4+n8/jpptuwoYNG5BKpXDaaadh1apVmD59ur3Nnj17cOmll6K9vR2jRo3C8ccfj1WrVuHwww8v49IqD5WGRSm6DbkKcfsYw7WvIw6GpUp91pdhqWBDuBTjLjrf+38AGE1cQn7P2HYjVsEQZMZmwjRsV1W+gBC1hMpxCalX717nrOaijjFMfmwhfb+lLiGfKCGvy08LbhnaF1sySezKDQCoDPPEVyV3fz99TJNtsJiGgbs+cxJe3daJ2aW0C3EkjmN7MaOQLpCql4clGsNSNFgIwxLC9TmYYP29QWALE4bBJVB8r6u/qu0KgtAGy4IFCzxX3StWrOD+P+yww/DCCy94HvN73/sevve974VtyqDDX8MiunTKY1gSIfcParB4oRrRLID/oFEta19MBCfeclkrR4XIXcDmp2owV+yeGQaIS6gQXMMiMnxGcAM2qhammgzLGUdMxIvv7MXHTvCOMKSidKkbzY4SKjEsrurf6mtKJooRXPmCBdPgJ72WhiR2dQ/4HiMqKOMr67f7j2my/zaMoraLJqiju0RNzS+K0Gn/ioOQEPusPA9LuOMxJEy+irVfP68VFwszVBqF4pCJBJ9peee+2jNYalAHXD+wXUKChoU99HLzsLgYlpAdPh6DpexDBILfpVXLYGkWKt66awlJGJZmyrAEdAl5JOuLC+yWJUziEspbdh4Nfw2LyPCFMTzIfn4rz0FiWEY3p7Hsw0fj2P1HeW5HGRbZ8xcZFhcr53PfaNSGyRks6nxAcYBzCUnaOH2MI7yVPcNYGJbSbpZtsHjf67D40sJDAAAfO2EKdz5pIwLAFSVEjH7/4oeBT1MRfHb+DIxvyeCz84tVnsWgCfEZDwmGRcOBKtMtmwfKdwnx/4d1CV16ygx89dcvhdtJQLUYFl+DpUrtcDEsLoPFvU+4KKHquYScmiyOwdKbzdvf+zEsLg2VYYDPmKFGmDwsgxXWHBR+xjK7vmw+fJQQUHwOvdk8DMPgGD0q/q7E6pw+F9nxqcEi+z6OPCxOE4r3uMC5hCIdksPi0w7CaTPH49CJLQBUotvgx+Pfj7CJ4wa3cy89+zB8/ayZdjtEg4Xm1xrIFXBEKWt1LUEbLGVAmenW1rCU5xISR++wLqHzT5iCY/cfiQfXbcPNT6hDxL1QKy6hKjXDxbDI3CIiRkdwCVXjvnJRQhK9VdhaQuWEfwbfr/YsFr9nxZqs0rD49QkaZkpXuSMy1GAJ3NzAoAsoWRtPmD4KMye2YGRTyrcGT9Q8LMxFw7qlxbmEyr9o0zRwJJl4Zc0Mw1yLYvKGMKLbGuja9P1uTInu7+J3f7r8VDy4bhsuPnl6NZsWCNpgKQM0VJTCzu8g9NDwLiHhfKHtHQMHT2jxrETrh2oZCrUyTzWnRYNFbJi7ofT++vny2fGqcV/ztsEiH0zDuoSirkTD5KeokW7AwavWFuAufii+534ra84lREW3HhmX4wBdAMkeUSph4g+XnQLL8g8Hjp6HpfibaboKlRbdVjJxnM+Bas0YVzEs08c247KFBw9Gk3yhNSxlgPW/bF5hsLhcQuWl5o/a4UXWIAyqUfMGkA8kgwFa+BCQ1RJy70NFt0GzulY3cZw7v0fSNHwnIRe7FFE869ftaTNqbVAHgCP3805K6Y4S4i/Y77axSc80+evn8wEFbm5g8Kn55ScwBCOKghPdxlRLKM/phSId0ud86jYEgVdYs7/oNvBpqoKEafBRarXWQAk0w1IGlFFCSpdQuA4hbh0118GcGaMj7QfUjoalWmjyYVhkzRyRSWLZh49CNl/wZbPYuF4dl1Dxt2EY7twgASYhV/HNiNS5336csVoj/YDifQeNxS3/chwOnThC+r0rSkh0CQVkWAzD4O5/K9WwVGAy8UocFwS0f0Qdm9gR2NtQiNkl5Dqf5JAfPDp4glLRoKeJ43zH91oZ5AgaUqay39YitMFSBmhBOYqKMSwR+bADx43AQ198H8aOyPhvLKBaUUK1srJ2a1iC0fsXnLh/oOOziacqLiHKsAjtVvVFr1pCYcYzztcfInqiVvoBhWEYOMdjUvPLw+K3gs8kHZcQ3XcEZVjCNTkQKCsSxSCKI0qIjWnMJUTD/StRCJIax187ayYOn9yK9x00Nvj+riih+mVYgKJbqLOvWNW9Ft89EdpgKQNOWHNB+nm5Yc3iKBU5myTACc/CYLgxLM2uKCF4/h8W1XQJWVTDIvQ9NcOidhNErbrsz7DQ/QKfombgW0vI57WloltVWHOlNSxhUyYA8YpunbBm+fHjAj3m6OYU5h8ir2cXZH8zpIalFrs2zXYb1eisJrSGpQz4Z7oVXULlMSxxV8+8+zMn4YCxzfjlJXOU27AXev/RTcpt4kCtWPdNfnlYyhx22KBWDUMwT6OEXAyLv0soKLskP04IdwPnEaqNfhAGdpSQqlqzL8NSnDTceVjUNa3iQBANixdiFd1Kwporcc1cCH2Evsb1a0HD4vdO18oYR0EjhbRLaIhDpWFhhoz4DpebhyXuDj9nxhg88ZUFntv8z0dn4fjnNuNDx0yO9dwiBvtdmTamCW/v6sE5R/HUv9iuch8BO141XG2yxHEMQRgW8VrDRQn5n8s+D9TnrAeIDIs7Nb/3RTGGxTD4fSsd1szlYYlgb9DLKlt0WyKpC4QVrARom6P0NXqfTIMv1SAmEHXtW4OdO0Mz9dZg+0Rog6UM2NWaXWHN7Hcw3YAKYv8pxyUUFW1NKTszYmUxuC/LHy47Bbu6BjBVYJLifomdVOTVTRwnrp5UfYnTk4SceJXH8aPKuUmk9gdNEWwcyCoYFr9LomHNdIiotEuIy8NSLsMSOTV/8bdTS8h97DjhJSoPAk7jZfKZbsV8XO59Q5+u4mjkRMO173Cp/RbWMFgHVNUSEl8IvyJrIuIS3dYDBvtlbkonXcYKoMr2Gh3MCKhm4riE6TY+VP5q71pC0a7dN2W54u96Abu3LL2BeL3XnHckAODfT5fntqAaFjpmcFFCFWFYgmdplYGOR9GLH7L3AaXfjpFdGRiSv4KDYw4NPjWAmN7CvW/t9e5GrhbSIDYkIDTDUgb8XELlRgmJBk8lVPO1glq9tCCp+cMdr/i7Gi4hp/hh8aRJ07DZQJURwVPe0fsfl7E0xH41OKb7QmQnxDwsJx80Fn+/5ixO4EiRplFCCtFtxTUsZUYJRXcJlf4QRLeV6ge8aDbK/oSVEu5ZPTIsDZyGpfYtltpvYQ3DTwcgDviy0vReEI9eD6KoqKhVsaU4yJRvsDCffTWihIq/7erhJp1g5H0xLg0Lvbp6ryXkBxd7JblelbECOOOCYRjozzmT3gguD0u5rXQjWaZLKI48LKJLiLoxK4E4RbeiEaliWCa2NgAAzjxiYujzVRqaYRlGUL1TiZgYlrgy3dYDgr4sY0hW2WrAnTiuvGfADlftKCGgOJEOlL5TGRFcnoky+h+9vDDhnrVquHpBvJVhmVDqEqKrdBpiX4n7Un6UkPN3VIYFgkvI0bBEPFygs5X+jnAOuo84nIvpLRh+/+/vwwub9+K0mePDn7DCyNSZhkUbLGXAj2ERkwyFHcjKHQjrCfuNbPT8/u7PnIQb/rgB3/7QEVVqURHl1NORgT3DqhgsbLVq8ucG1GGoXmHNYdwGFuFY/MbBciM3BhuysgdhQF1Ch01sxZlHTMCUUU2eSfziAFdLqEz3SNkMi1BLqHKiWzVDEnZ/0RBX5VYaMyKDhYdPCH2uaoAuoqOwbNWGNljKgOqlSkgmiCgrEPHwQ9FgWfHJ2fjdi9uVgkSGOTPG4Nefn1elVjmIP6yZuYTKO04QiBEXnMESIXFcKJdQKIalvvu1S+sT8l0fV8pA3daYgmka+PG/neB7jjhA+0Ak0S3ZJbLo1o6aQ+k3011FOlyA85G/I+wvJo6j8BPd1iJoLaGw/XYwoA2WMqAaRGSp+WWVcf0wHES3Cw4djwWH1h5VyuBehZX3DBzRbfVcQqzfJAMZLM7fhil+F9ElFCpxXP2hXIbln0/cH62NKZzhsQqvxAQep4YlrLvbPkbpt1hLqFKF+MKE28vgZdBn/cp61yBSSc2wDBuo3imZSyidVIvuVBAPXw8daqihYgxLFcOaWZuD1H4xPBmW4Bc/sil4hEu9d+uwieJEjMgk8bETpnpuU5nU/ORZlxklFDUgQFVLqGKi2zKTFIpufopqlNuIG5xLqA4WxNpgKQNql5Dh+j4dgW4rJ6xUIx4EqdYc5XiVHtssy3JFCfEMi3+UkCsPS4hF9OSRjbjuw0dxobkqcKepQ+ul3KrsUc4RB2gfKFd0Gzk1v6KWUFUy3UbY30vjla2Gnzdm0HmpHuYXbbCUAdkDTidMHD2lWGiQcwmFDGkG3BNEPXSooQZxUBrZVF6UEnumlWZYChKXDPVRB3EJlZup+Z8DVrDmQ03rDy5xfNxFv1CbLqE487CItYQqlfE4TtGt+Nz9UvPXIug7XQ/TS+3HMdUwxP4+d8YYrP/2mbYmg3+hI2hYhOG7Un5dDTXoM25OJzCqyZ8x8EK1XEKUnmYDM52UgmS6Ffv3dR8+GmNHpHHNedWN1Kp1lKthCYJKi27LrSUUNUqo7moJkX3E5z6qzMXMYIDOS/VQFkMzLGVAVjOEMinUwIjCsIj9ZygnjqtV0Gc4dXRT2S91taKEqEFkMywBwpqpjSxOkodObMFz31gY+8BGj1YHY6YL1XDdVuK+0HZGixIqn2FxEseVflezllCE/WUar19cciJ++NgbWPbho8psXfWRijAvDSa0wVIG/ESJfGKlCC6hYZQ4rlZBn+GUUd65YoIdrzoMCz0+u4Zyw5qByqzCytUVDDbql2EpL0KEF3GXq2GpTh4W2sOinINPHFf855SDx+GUg8eV3bLBQBRt5WCivsyrGoNfnRlOdBsDw6I1LNUHfYZTRrmLI4Y+3iBoWJw8LP5ZLXkNS0Wa5gIfuVF/fVx8LyvxnlYmcZyBkU0ppBMmmjLh166c6DZiA20NS5VqCZXvElJrWOoRUcPRBwuaYSkDrigKD4YlSh4WV1G1OhzM6x30lsfLsJR9KE9QDYtjsDjfB2FYqmU81Hu3dkcJVUJ0W5mbtOKTJ6JnIIcREQyWWPKwlA5RGIRMt+VGRg0FTWEmQrqNwYQ2WMqA2GHF/m+UybAcOrHF83walUfsDIutYamsxWJJNSyEYVHmYSn+HqyuVo89vBolNCr1PI6ZOjLyvrFkumUuodL/VqVFt8p/Au5P87DUu6UN4PTDxuPg8SNw9JSRg92UQNAGSxnw17CUJ0obMyKDGWOb8Y/3uqM1UKNs8AZL+QxLokouIZ5hKf4OlunW4H5XA+XS9ION6riEau/GcNW/Y6slxD6vzPWWn4eFMDRDYAHZkErgT186tW5csfXlwKoxuF1C/P+UJY2S6RYAzqjBkuTDCZSpmOxToDEIxNoplUKeZLmVhzV7J46rqsFSl7yKg3pNHFcu4qwlxF4zZmhX6nJjdQnV4DOJgnoxVgBtsJQF90pKdBGVx7AAwEXzpgEADp3Q4rOlRiUwujmNRcdMxifm7I/RzeXnWWCDXL5gobMvi5/++R/Y3tFb9nFFyMJDg0UJFX9XcwzjV731M3gyVINhqcU5xStNfVCIYc2VjxJyUK7ots70qkMC2iVUBvyq2dLvMxHj3Se1NeK5byxEJqXfjsGAYRj4/j8fG9vxEvaK0sJ//OZlPPTSdtz57GY8/pUFsZ0DcFaqCZXB4lNLqLoMS31DdA1UgmGpRYOl3MSYgFt0a5eTqJC7hT6rKMYxfQ5DhWGpJ4TuZU8//TTOPfdcTJ48GYZh4IEHHvDd55ZbbsFhhx2GxsZGHHroobj99ttd29x7772YOXMmGhoacNRRR+Hhhx8O27Sqo9J5WBjGtWTQGqAmi0btwxmggT++0g4AFdEo2StV0u14hsU7rHnQ3PN1OAe4ovmGmUvIMMphWIr7sbT2lU7NT48apckqxlKjOgg9i3Z3d2PWrFm45ZZbAm2/fPlyLF26FN/61rfwyiuv4Nvf/jYWL16M3/3ud/Y2q1atwgUXXIBLLrkEL7zwAhYtWoRFixZh/fr1YZtXVYhjvmceFs0faoC4hCwL2QrWHmGZdFUVdWtLdEtXvfUH8VZG1XN4n6P27gxrU1TBLQA0povavv5cHkB1ix9G6WxDUcNSTwjtEjr77LNx9tlnB97+F7/4BT772c/i4x//OABgxowZeO6553D99dfj3HPPBQD84Ac/wFlnnYUrr7wSAPCd73wHjzzyCG6++Wb86Ec/CtvEqsGPYaH/1lsKZI3KgK3KrCpluqWrf5NzCXmLbquqYaF/1+EcILqEEhXJwxL7IcsGa1M5Blpjqmiw9A4wg6V6eViiuITos9YGS/VR8Vm0v78fDQ0N3GeNjY1Ys2YNstksAGD16tVYuHAht82ZZ56J1atXV7p5ZSFUplvNsGjAWaFVM0qIIQjDYudhqSLdXfei2wpGCR0yYQQA4MPH7RfbMeMCG9/KuV7GsPRk87Asq6p5WKKcIw6hsUZ0VFx0e+aZZ+KnP/0pFi1ahOOOOw7PP/88fvrTnyKbzeK9997DpEmT0N7ejgkTJnD7TZgwAe3t7crj9vf3o7+/3/6/s7OzYteggthfRb8r7dBREsdpDD2wPpKvUuI42gd5hqU2XUL1CHHiivPe/eYLJ+P1HftwbBkJ3iqF1sairq6c6DnGsFgW0J8r2K7MimlYyszkzFdrjqNFGmFQcYPlm9/8Jtrb23HSSSfBsixMmDABF110EW644QaYZVCny5Ytw7e//e0YWxoe7oEKyv81w6IBOH2m8onjir/DalhYivam9OCk7K5H28UVJRSjhmVEJonj9h8V2/HixH4jG/Hjfzse+5WRn4gZLADQl80Tl1DZzZOCj/IJv/9glK7QcFDxWbSxsRG33XYbenp6sGnTJmzevBnTp09HS0sLxo0rVricOHEiduzYwe23Y8cOTJyoTpq2dOlSdHR02D9btmyp6HXI4K9h0QyLBg8ns6fzWSWoZSdKSE5hqzQs+49pwncWHYnrPnx07G0aqqhGav5axZlHTMSR+7VF3j+ZMO3FXM9AvvKZbunfZYpuh0Jq/npD1WbRVCqFKVOmIJFI4K677sIHP/hBm2GZO3cuHnvsMW77Rx55BHPnzlUeL5PJoLW1lfupNly1g4Tv48hToDG0YEpcQnSVGRfY8VUDrJfu4N9Omob3HTw29jYFQT3OAQ1CFutK5GEZymgo5ZjqLelYgOqIbqOECWkNy+AitEuoq6sLb775pv3/xo0bsW7dOowePRr7778/li5diq1bt9q5Vl5//XWsWbMGc+bMwZ49e/Dd734X69evx89//nP7GJdddhnmz5+Pm266Ceeccw7uuusurF27FrfeemsMl1g5iB1WpAg5l5BmWDTgMB7UJdQQc1LAe9duwV/ffA+AmI7fX8OiER5tTXyOJD2RhUNjOoHOvhx6CcNSKcM1TpeQjhKqPkIbLGvXrsVpp51m/3/FFVcAAC666CKsWLEC27dvx+bNm+3v8/k8brrpJmzYsAGpVAqnnXYaVq1ahenTp9vbzJs3D3feeSf+8z//E//xH/+Bgw8+GA888ACOPPLIMi6t8giT6TZqan6NoQUnSsgxWOIs8V4oWLjyvpfs/w3FAKtKHDfYqMcoobZG3mCp1Xtbq2hKJwH0o5fTsNS+6FbbpdVHaINlwYIFnjkkVqxYwf1/2GGH4YUXXvA97vnnn4/zzz8/bHMGFWGqNUdNza8xtMD6BE0aFyfD0pvNc/+r6gfVqtuiHhetosGiGZZwaCC5WGQZmuMEH0IfHjrT7eBCz6JlwB3WLHxP7q7WsGgA8pVjnAxLzwBvsHArwgCiW43wcDMseiILg0ZOw1L8rBqi2yjnMBTvk0Z1oEetMuCvYdFRQho8ZGNcnCHOPQM5/nx1x7DUZru80JBKcBNZQrt/Q6HoEuLDmivVD/iw5PL211FC1YeeRcuAl8hW/F8zLBqAfFWXLxQzfC6+429Y+puXJHsFh8iw8NWanT6oRbfxYkTa8a7riSwcmEuID2uuzLk4l5AW3dYd9CxaBvxcQjoPi4YIGY2cL1jYurcXv395O361Zgv6BB1KGLhdQtRgAfm7Ngfb2myVP0Y0EIOlRu9trYKl5+c0LLVaS4hzCcXRIo0w0Le8DPil5Na1hDREyOayXMHi+lJnbzby8b1cQpRh0YxfvGjOOAZLrbrbahWN0jwslT9vFJtI52EZXOhRqwz4Rwk5f2uGRQNQu4RyJGqoQzBYLMvCn9/YiXf39fke30t0GzRx3GCiXll2arDoiSwcmIaFz8NSqbBm5+8oLI7OdDu40LNoGfDr8DrTrYYIWZ/JFQrIFdQGyyOv7sC//b81OP2mp3yP3ytqWBQFD2s1V0i9TgEjMk6kVz0KhwcTdlhzFWoJxSm61c+5+qjNUatO4JUoDuDpeM2waAByv3eRYSnY/+/t4Q2WR/9erLO1r49398ggMiwqCluLbuNFc7ridWSHLBo5g6X4WVVqCUXY36wDHdhQhp5Fy4BftWb6r850qwGoGBaLSyQnMizUXeQHUcOSUFDYtesSqs12+WFERhssUdFERLfVrCUUpa9xC4A67av1DG2wlAGxw4v9l0u/noi/wJ1G/UGpYSk4DItosGQLYQwWryih2k8cV69TQLM2WCKjgRgsrGhnNWoJRRLdkr9r1Ks6pKFveZmgK1VxMqIVebVLSAOQ++bzvgxLQdxFCZfBYioMlpplWAa7BdGgDZboqKpLiAtrDg+dh2VwoWfRMkHFtCLjQg0WrRnQAIp9RBzncgWL6ysuhqUMlxAX1VAXGpZabZc3qOhWIxxkLqFK6kPY+xctSkiHNQ8m9LKgTKQSBtj8Ivb/6WOaccK0URjZlNJRQho2TMNAnrgLRdGtmIclS76zLMvT9+7KdKtgWPRgGy+0hiU6GiVRQpUkLwwAVsRz8NWa9TtUbei3rExQV48rasg0cO/n5tatkFCjMkgYBvLgDZasB8NC9S0D+YJnsUQxrNlUUOCpGnXA1+ur8uHjp2D5U29h7owxg92UukNDFV1C7NgFy4p2DgVjqVEdaIOlTFDmRPYCaGNFQ4SsS9B0/MxgyeULSCZMziXUn/M2WLpdLiHnZNSxVLsuofpEa0MKq75+elUytA41NElT81fufGUNyeQl0s+6+qjNZVYdwUvDoqEhg8ywpQbLpl3d+Mzta3HE1X/E3zbvQX+uIN2O4q2dXcjmC54uIVoUWieOix8J09BjQATYtYSyebuPVpJhYTWEopyCGv2yumAalYVmWMoEza+iu69GEMio5P6sY5S81zWAP71aTBb30Ivb0d2fk27H8PDL2/GFO/6G988cL3EJOX9b0CJwjdqDrWEZyKNghzVXrn8eOrEF2/b2YuyITOh9qdGv87BUH9pgKRN+LiENDRFSl1BOzpys2bQLXSTDrYxhue0vGwEAj7/2Lg4c18x9x7mEOIalNvuqfoeGH6iGJV8Fl9B9n5+LbN6yzxsVWsNSfWiDpUx4iW41NGTwcwkBwH4jG7F1by9e3dYJmjeuT8Kw0IHTK3EcpbNr1XVRo83SqCAyKWcMZe7PShqumWQCUYO6KEup+2r1UZuO7DoCr2EZxIZo1A1kKzPREPnI8VMwfUwTxCS3/RImxstg4c5lBc/noqFRLWTIoo+5NGt18addQoMLbbCUCU7DojuwRgDIBmPKsIwdkcaFc6fhxANGS7bzZlhEDYvBaVhqH/oVGn5Ik0Ufew9qdSyl75B2CVUf2mApE1rDohEWstJAzBA5+8iJePLK0zB2RAZHTG6TbOfNsAwIafxVUUIaGrUCwzBslqU3yxiW2h9La9WoGsrQBkuZoHSm7r8aQZAlYcqMoWOi24ZUws6aevCEEa59ZeJcL2qaF93WvsVi6Fi7YQk2jvZla90lVPvv0FCGNljKBM+wDGJDNOoGNK9KU7ponLCBmkbvHDKhxbWvzCXklQ9CJbrV0KglZOxIoZLotkYHU/0ODS60wVImtEtIIyyo24YxLCy/SpL0J1meiL5sHnc/txlXPbjezlnhFaJMS1jVhc+9DpqoET+YjqVvgGlYBrM1HtAWy6BCGyxlQhc11CgHzMhlDEvKJ6FbXzaPr/36Zdy++m2sfXsPAO/BnRrRHz5uCg4c14xPnXxAma2uHGp1ntKoLFhocz1pWDSqD52HpUykk86LpV8yjbBg7AjTpogp8zNJk3Mhvflul/03624DObebiIFS6yMySTz25QXlNrmi0ELG4QlWH6u3xjUsNGeMRvWh736Z0BoWjXKQEFxCIsOy5LSDuP/Xbdlr/50rFUXs9zJY6qxP1llzNWKCHSU0UNsMy0kHjME5R0/ClxYeMthNGZbQDEuZ4AyWepsdNAYdjFGxGRbBYPn8ggNx5H5t+OMr7bjruS14rX2f/R1LIqcqiAjo5FYa9QExSqhWmTbTNHDLvxw32M0YttAMS5ngMt0OYjs06hNMCMuif0SXUDJh4rSZ4zGuxS3AZcyKF8NSqwO/CnXWXI2YwKKEaj2sWWNwoQ2WMpHWmW41yoCtYfER3coKtbF9xArOtBvWRWSQxrBHPSaO06g+tMFSJnRYs0ZUpJOmbVAwliSpiDqjCQoZHIaFdwmNbkrbf9ebvVJnzdWICax/syzQ9dZvNaqD0AbL008/jXPPPReTJ0+GYRh44IEHfPe54447MGvWLDQ1NWHSpEn41Kc+hV27dtnfr1ixAoZhcD8NDQ1hmzYoSOlMtxoRkUmaLoZFlVNFxrCoXEKjm4nBUmcjv2YphyfSgkGu+4GGDKENlu7ubsyaNQu33HJLoO3/+te/4sILL8Qll1yCV155Bffeey/WrFmDSy+9lNuutbUV27dvt3/efvvtsE0bFOgoIY2oyFCGxY4SCsGwMJeQl8GiB36NOgALa2bQ/VZDhtBRQmeffTbOPvvswNuvXr0a06dPx7//+78DAA444AB89rOfxfXXX89tZxgGJk6cGLY5gw6tYdGIinTCtEW2LPutGCXE4MWwiFFC1GCptyih+mqtRlwQDXK9+NOQoeIalrlz52LLli14+OGHYVkWduzYgfvuuw8f+MAHuO26urowbdo0TJ06Feeddx5eeeUVz+P29/ejs7OT+xkM6CghjajIpBIuUWzKlL+SUoMlCMNSbyN/nTVXIx6ICdm0WFxDhoobLCeffDLuuOMOfPzjH0c6ncbEiRPR1tbGuZQOPfRQ3HbbbXjwwQfxy1/+EoVCAfPmzcM777yjPO6yZcvQ1tZm/0ydOrXSlyKFFt1qREU6YboYFTXD4q4x1J8rIJcvIF/gC5zwLqG4Wlsd6GrNwxOiS0iz1RoyVNxgefXVV3HZZZfhqquuwvPPP4+VK1di06ZN+NznPmdvM3fuXFx44YU45phjMH/+fPzmN7/BuHHj8OMf/1h53KVLl6Kjo8P+2bJlS6UvRQoqulUsjjU0pMikTNdKUrWypAzLYZOKVZz7cwVpDpa6dgnVV3M1YoJ2CWkEQcUz3S5btgwnn3wyrrzySgDA0UcfjebmZpxyyim49tprMWnSJNc+qVQKxx57LN58803lcTOZDDIZdzKtaoPTsOjVoUYIFDUsgktIIbqlLMqhE1rw5zfeQ38u72uw1J1LSGNYwm2w6H6r4UbFOYGenh6YAvWQSBRXi5Ylr9Wdz+fx8ssvS42ZWgOnYdHvmEYI0DwsDKqwZuYGAoAJrcWQ//5swZWDBSgWOWSot4G/vlqrERcyKTFKaJAaolHTCM2wdHV1cczHxo0bsW7dOowePRr7778/li5diq1bt+L2228HAJx77rm49NJLsXz5cpx55pnYvn07Lr/8cpx44omYPHkyAOCaa67BSSedhIMOOgh79+7F//zP/+Dtt9/Gpz/96Zgus3LQGhaNsGhOJ9A9kMf7Z47HC5v3ct+pGJaDxo/Aj//teOw3shF/27wHQLH+0J7urGvbpA6116gzZBI6D4uGP0IbLGvXrsVpp51m/3/FFVcAAC666CKsWLEC27dvx+bNm+3vL774Yuzbtw8333wzvvzlL2PkyJF4//vfz4U179mzB5deeina29sxatQoHH/88Vi1ahUOP/zwcq6tKtAMi0ZY/OmK+VizcRfOPXoyXnrnRe47legWAM48ohj2/8q2DgDAwy+34+GX213bpYiVUm/RFvodGp4Qo4T04k9DhtAGy4IFC5SuHKCYtVbEF7/4RXzxi19U7vO9730P3/ve98I2pSaQTjovln7JNIJgv5GN+P+OnQLA7QISix/KIEZUAMDIphSOnNyGfzp8Amek6JWqRj1Ai241gqDiotuhDp3pVqMcuPKweDAsDLKst6Ob0vjlp+cAAJ5/e49z/Drrk1q4PjyhM91qBIEOxC0TvEtIv2Qa4eAS3So0LBSyJHK0FgtlbeotSki/QsMTohGu+4GGDNpgKRM6061GOQgaJUQhY1holAU9Zr2tVOusuRoxQWtYNIJAGyxlIq2jhDTKQNA8LBTi4A7wRkx9R67VW3s14oDLJaRnJg0JdLcoEykqutV3UyMkEkKn8YoSYpCJbrN5J4FcgosSKqNxGhpVgk4cpxEEejgrE0FWxBoaKogGiqr4IYXMJbS3x8nHktQuIY06Q9qlYdEdQcMNPduWCWqw5N1Z0jU0POEW3foP1DLR7Z6eAekx6s1g0RiecEcJDVJDNGoa2mApE2nOYNEWi0Y4uPKwRAxr5hkW5/u6Sxw32A3QGBRol5BGEGiDpUzQvBnZvDqhnoaGDK48LBETx6mOWW/jfr21VyMeuKOEBqkhGjUNbbCUCTo50Iq6GhpBIDIsiSAMiyRK6OJ50+2/gySfq1U0p3Uuy+GItK4lpBEAenQoE/TFymmDRSMkxCihIAwLHdwPGj8C13/kaBw9pY0c0+mTHlU0agrXLjoSD7ywFV9YcNBgN0VjEJBMmEiahj2GapeQhgzaYIkROa261QiJKBoWmr22OZ3A8dNGcd9TIXihTiyWfz1pGv71pGmD3QyNQcTIphTe6yqKx7VLSEMG7RKKEZph0QiLKJluKcRwUPGYuktq1AsOm9Rq/60ZFg0ZtMESIzTDohEWlFFJmkZo373MYElyBou2WDTqA0fu57g1tb2iIYM2WGKEZlg0woKyIUHcQSJEsSLA66osbbBo1AmOnOwYLJph0ZBBGywx4IIT98f4lgzOP37qYDdFo85A2ZAgglsRfiHO2l7RqBccuZ/jEsrrjqshgRbdxoBlHz4KhcKRnBhSQyMIaJRQJIZF4hKi0KSfRr1g/9FN9t879/UPYks0ahWaYYkJ2ljRiIIk5xIK/zoeu/9Iz++1hkWjXmAYBj47fwamjWnCPx02YbCbo1GD0AyLhsYggjIkspT7Kjz0xfdh1Vvv4d98QoG1hkWjnrD07MOw9OzDBrsZGjUKbbBoaAwi3nfwWJw7azLe7ezD+ScE10AduV8bF1WhgnYJaWhoDBVog0VDYxDR2pDC/15wbMWOrxkWDQ2NoQKtYdHQGMI4aHzLYDdBQ0NDIxZohkVDYwjioS++Dxva9+F9B48d7KZoaGhoxAJtsGhoDEEE1bhoaGho1Au0S0hDQ0NDQ0Oj5qENFg0NDQ0NDY2ahzZYNDQ0NDQ0NGoe2mDR0NDQ0NDQqHlog0VDQ0NDQ0Oj5qENFg0NDQ0NDY2ahzZYNDQ0NDQ0NGoeoQ2Wp59+Gueeey4mT54MwzDwwAMP+O5zxx13YNasWWhqasKkSZPwqU99Crt27eK2uffeezFz5kw0NDTgqKOOwsMPPxy2aRoaGhoaGhpDFKENlu7ubsyaNQu33HJLoO3/+te/4sILL8Qll1yCV155Bffeey/WrFmDSy+91N5m1apVuOCCC3DJJZfghRdewKJFi7Bo0SKsX78+bPM0NDQ0NDQ0hiAMq4zqaIZh4P7778eiRYuU29x4441Yvnw53nrrLfuz//3f/8X111+Pd955BwDw8Y9/HN3d3XjooYfsbU466SQcc8wx+NGPfhSoLZ2dnWhra0NHRwdaW1ujXZCGhoaGhoZGVRF0/q64hmXu3LnYsmULHn74YViWhR07duC+++7DBz7wAXub1atXY+HChdx+Z555JlavXl3p5mloaGhoaGjUASpusJx88sm444478PGPfxzpdBoTJ05EW1sb51Jqb2/HhAkTuP0mTJiA9vZ25XH7+/vR2dnJ/WhoaGhoaGgMTVTcYHn11Vdx2WWX4aqrrsLzzz+PlStXYtOmTfjc5z5X1nGXLVuGtrY2+2fq1KkxtVhDQ0NDQ0Oj1lDxas3Lli3DySefjCuvvBIAcPTRR6O5uRmnnHIKrr32WkyaNAkTJ07Ejh07uP127NiBiRMnKo+7dOlSXHHFFfb/HR0d2H///TXToqGhoaGhUUdg87afpLbiBktPTw+SSf40iUQCgNO4uXPn4rHHHsPll19ub/PII49g7ty5yuNmMhlkMhn7f3bBmmnR0NDQ0NCoP+zbtw9tbW3K70MbLF1dXXjzzTft/zdu3Ih169Zh9OjR2H///bF06VJs3boVt99+OwDg3HPPxaWXXorly5fjzDPPxPbt23H55ZfjxBNPxOTJkwEAl112GebPn4+bbroJ55xzDu666y6sXbsWt956a+B2TZ48GVu2bEFLSwsMwwh7WUp0dnZi6tSp2LJly5CNPhrq1zjUrw8Y+tc41K8PGPrXONSvDxj611ip67MsC/v27bNtAq8NQ+GJJ56wALh+LrroIsuyLOuiiy6y5s+fz+3zwx/+0Dr88MOtxsZGa9KkSdYnPvEJ65133uG2ueeee6xDDjnESqfT1hFHHGH9/ve/D9u0iqCjo8MCYHV0dAx2UyqGoX6NQ/36LGvoX+NQvz7LGvrXONSvz7KG/jUO9vWVlYdlOGA45HcZ6tc41K8PGPrXONSvDxj61zjUrw8Y+tc42NenawlpaGhoaGho1Dy0weKDTCaDq6++mhP4DjUM9Wsc6tcHDP1rHOrXBwz9axzq1wcM/Wsc7OvTLiENDQ0NDQ2NmodmWDQ0NDQ0NDRqHtpg0dDQ0NDQ0Kh5aINFQ0NDQ0NDo+ahDRYNDQ0NDQ2Nmoc2WHxwyy23YPr06WhoaMCcOXOwZs2awW5SJHzrW9+CYRjcz8yZM+3v+/r6sHjxYowZMwYjRozARz7yEVd9p1rD008/jXPPPReTJ0+GYRh44IEHuO8ty8JVV12FSZMmobGxEQsXLsQbb7zBbbN792584hOfQGtrK0aOHIlLLrkEXV1dVbwKNfyu7+KLL3Y907POOovbppavb9myZZg9ezZaWlowfvx4LFq0CBs2bOC2CdIvN2/ejHPOOQdNTU0YP348rrzySuRyuWpeihJBrnHBggWu5ygWh63Va1y+fDmOPvpotLa2orW1FXPnzsUf/vAH+/t6f36A/zXW8/OT4brrroNhGFypnJp5joOSrq5OcNddd1npdNq67bbbrFdeecW69NJLrZEjR1o7duwY7KaFxtVXX20dccQR1vbt2+2fnTt32t9/7nOfs6ZOnWo99thj1tq1a62TTjrJmjdv3iC22B8PP/yw9Y1vfMP6zW9+YwGw7r//fu776667zmpra/v/27u7kCb7Nw7gX01nhuiS2aaF5ltG+EIpyYjsYMO0IKkTsw6koKAUDCpKIaJOPAiC6qCToE4iqciM3sh8I2NamkvtxVJWVrgkxbQsM/f9H4Q3z2xT8+nv7vlcHxjM+/dzXF+uW3fhdk9ev36dT58+5aZNmxgdHc1v374pe7KyspiSksKGhgY+ePCAcXFxzMvLm+Ukrk2VLz8/n1lZWU497e/vd9qj5nzr16/n+fPn2d7eTqvVyg0bNjAyMpJfvnxR9kx1Xv78+ZOJiYk0m81saWnh7du3qdPpWFxc7IlIv5lOxnXr1nHXrl1OffznJ4mqOeONGzd469Ytvnr1ih0dHSwpKaG/vz/b29tJen//yKkzenP/Jnr06BGXLl3K5ORkFhUVKcfV0kcZWCaxevVqFhQUKF+PjY0xIiKCpaWlHqxqZo4ePcqUlBSXawMDA/T39+eVK1eUYy9evCAAWiyWWarw35n4hO5wOGgwGHjixAnl2MDAAAMCAnjp0iWS5PPnzwmAjx8/VvbcuXOHPj4+/PDhw6zVPh3uBpacnBy33+NN+Uiyt7eXAFhXV0dyeufl7du36evrS7vdruw5e/Ysg4ODOTIyMrsBpmFiRvLXE94/nxwm8raMCxcu5Llz5+Zk/8aNZyTnTv+GhoYYHx/PyspKp0xq6qO8JOTGjx8/0NzcDLPZrBzz9fWF2WyGxWLxYGUz9/r1a0RERCAmJgbbt29Hd3c3AKC5uRmjo6NOWZcvX47IyEivzWqz2WC3250yhYSEID09XclksVig1WqRlpam7DGbzfD19UVjY+Os1zwTtbW1WLRoERISErBnzx709fUpa96W7/PnzwCA0NBQANM7Ly0WC5KSkqDX65U969evx+DgIJ49ezaL1U/PxIzjLl68CJ1Oh8TERBQXF2N4eFhZ85aMY2NjKCsrw9evX2E0Gudk/yZmHDcX+ldQUICNGzc69QtQ18/hH/+35v+KT58+YWxszKkBAKDX6/Hy5UsPVTVz6enpuHDhAhISEtDT04Njx45h7dq1aG9vh91uh0ajgVardfoevV4Pu93umYL/pfG6XfVvfM1ut2PRokVO635+fggNDfWK3FlZWdiyZQuio6PR1dWFkpISZGdnw2KxYN68eV6Vz+FwYN++fVizZg0SExMBYFrnpd1ud9nj8TU1cZURALZt24aoqChERESgtbUVhw4dQkdHB65duwZA/Rnb2tpgNBrx/ft3BAUFoby8HCtWrIDVap0z/XOXEfD+/gFAWVkZnjx5gsePH/+2pqafQxlY/iOys7OV+8nJyUhPT0dUVBQuX76MwMBAD1YmZmrr1q3K/aSkJCQnJyM2Nha1tbUwmUwerOzPFRQUoL29HfX19Z4u5f/GXcbdu3cr95OSkhAeHg6TyYSuri7ExsbOdpl/LCEhAVarFZ8/f8bVq1eRn5+Puro6T5f1V7nLuGLFCq/v37t371BUVITKykrMnz/f0+VMSl4SckOn02HevHm/vRP648ePMBgMHqrq79FqtVi2bBk6OzthMBjw48cPDAwMOO3x5qzjdU/WP4PBgN7eXqf1nz9/or+/3ytzx8TEQKfTobOzE4D35CssLMTNmzdRU1ODJUuWKMenc14aDAaXPR5fUwt3GV1JT08HAKc+qjmjRqNBXFwcUlNTUVpaipSUFJw6dWpO9c9dRle8rX/Nzc3o7e3FqlWr4OfnBz8/P9TV1eH06dPw8/ODXq9XTR9lYHFDo9EgNTUVVVVVyjGHw4Gqqiqn1y691ZcvX9DV1YXw8HCkpqbC39/fKWtHRwe6u7u9Nmt0dDQMBoNTpsHBQTQ2NiqZjEYjBgYG0NzcrOyprq6Gw+FQful4k/fv36Ovrw/h4eEA1J+PJAoLC1FeXo7q6mpER0c7rU/nvDQajWhra3MazCorKxEcHKz8yd6TpsroitVqBQCnPqo540QOhwMjIyNzon/ujGd0xdv6ZzKZ0NbWBqvVqtzS0tKwfft25b5q+vjX3r47B5WVlTEgIIAXLlzg8+fPuXv3bmq1Wqd3QnuL/fv3s7a2ljabjQ8fPqTZbKZOp2Nvby/JX5etRUZGsrq6mk1NTTQajTQajR6uenJDQ0NsaWlhS0sLAfDkyZNsaWnh27dvSf66rFmr1bKiooKtra3MyclxeVnzypUr2djYyPr6esbHx6vmst/J8g0NDfHAgQO0WCy02Wy8f/8+V61axfj4eH7//l15DDXn27NnD0NCQlhbW+t0Sejw8LCyZ6rzcvxyyszMTFqtVt69e5dhYWGquWR0qoydnZ08fvw4m5qaaLPZWFFRwZiYGGZkZCiPoeaMhw8fZl1dHW02G1tbW3n48GH6+Pjw3r17JL2/f+TkGb29f+5MvPJJLX2UgWUKZ86cYWRkJDUaDVevXs2GhgZPlzQjubm5DA8Pp0aj4eLFi5mbm8vOzk5l/du3b9y7dy8XLlzIBQsWcPPmzezp6fFgxVOrqakhgN9u+fn5JH9d2nzkyBHq9XoGBATQZDKxo6PD6TH6+vqYl5fHoKAgBgcHc8eOHRwaGvJAmt9Nlm94eJiZmZkMCwujv78/o6KiuGvXrt+GaTXnc5UNAM+fP6/smc55+ebNG2ZnZzMwMJA6nY779+/n6OjoLKdxbaqM3d3dzMjIYGhoKAMCAhgXF8eDBw86fY4Hqd6MO3fuZFRUFDUaDcPCwmgymZRhhfT+/pGTZ/T2/rkzcWBRSx99SPLv/b1GCCGEEOLvk/ewCCGEEEL1ZGARQgghhOrJwCKEEEII1ZOBRQghhBCqJwOLEEIIIVRPBhYhhBBCqJ4MLEIIIYRQPRlYhBBCCKF6MrAIIYQQQvVkYBFCCCGE6snAIoQQQgjVk4FFCCGEEKr3P7jcdZlY+D7nAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(samples['lf'])\n", + "plt.axhline(true_params['lf'][idx], ls='--', c='r')" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "0f22698b-2ec0-461d-888d-4fb5410c8ea9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(samples['e1'])\n", + "plt.axhline(true_params['e1'][idx], ls='--', c='r')" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "a79a7578-d777-46f3-bccc-a3619f6dadb7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(samples['e2'])\n", + "plt.axhline(true_params['e2'][idx], ls='--', c='r')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "8f9f9208-36e8-481b-a224-e5845f4c1183", + "metadata": {}, + "outputs": [], + "source": [ + "# notes: seems to work with mnd = 7, with mnd=5 sometimes seems like there are slight convernge issues" + ] + }, + { + "cell_type": "markdown", + "id": "e5dc89f7-363c-49ae-9c49-baa2f1a3446a", + "metadata": {}, + "source": [ + "## Convergence" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "90e20cb8-ea09-4999-97d9-2f4b57cf49f3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(4,)" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gkeys, ikeys = random.split(gkey, (2, 4))\n", + "gkeys.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "6227654c-5d80-4f08-b7e2-654932d4bed4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(6.803449, dtype=float32)" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# test on one image\n", + "idx = 19\n", + "_fixed_position = {k:v[idx] for k,v in fixed_params.items()}\n", + "snrs[idx]" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "70c07c00-ed58-45e0-bd3d-b75687d02ab2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'e1': Array(0.1858426, dtype=float64),\n", + " 'e2': Array(-0.46560966, dtype=float64),\n", + " 'lf': Array(2.0236198, dtype=float64),\n", + " 'lhlr': Array(-0.34846269, dtype=float64),\n", + " 'dx': Array(0., dtype=float64),\n", + " 'dy': Array(0., dtype=float64)}" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "_true_params = {\n", + " k:v[idx] for k,v in true_params.items()\n", + "}\n", + "_true_params" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "b4a9667b-9be8-44b2-8639-5fce53e06ab0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'dx': Array([0., 0., 0., 0.], dtype=float64, weak_type=True),\n", + " 'dy': Array([0., 0., 0., 0.], dtype=float64, weak_type=True),\n", + " 'e1': Array([0.2771039 , 0.23582594, 0.09680554, 0.22015415], dtype=float64),\n", + " 'e2': Array([-0.48804278, -0.38743826, -0.55021055, -0.37850426], dtype=float64),\n", + " 'lf': Array([1.70181166, 1.70181166, 1.70181166, 1.70181166], dtype=float64),\n", + " 'lhlr': Array([-0.35448995, -0.36103077, -0.33376381, -0.34320495], dtype=float64)}" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "init_positions = vmap(_init_fnc, in_axes=(0, None, None))(ikeys, target_images[idx], _true_params)\n", + "\n", + "init_positions" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "ceda25cf-ca0c-470a-a269-5b67b6cc3b6f", + "metadata": {}, + "outputs": [], + "source": [ + "vpipe = vmap(_pipe, in_axes=(0, None, 0 , None))\n", + "samples = vpipe(gkeys, target_images[idx], init_positions, _fixed_position)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "6f7ba0ed-7222-48d1-812a-695e7b62dd16", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(4, 400)" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "samples['lf'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "2e797511-3974-4823-aad1-0be2a45b4f50", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for ii in range(4):\n", + " plt.plot(samples['lf'][ii])\n", + "plt.axhline(true_params['lf'][idx], ls='--', c='r')" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "b9ace890-a013-49bb-a046-0dd39d436ad2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for ii in range(4):\n", + " plt.plot(samples['e1'][ii])\n", + "plt.axhline(true_params['e1'][idx], ls='--', c='r')" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "190a328f-42c7-4630-95ea-79a282be3aa6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO: Computing R-hats...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1/1 [00:00<00:00, 2.08it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 672.92it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 844.09it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 873.27it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 882.27it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 879.31it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "{'dx': array([0.99960374]),\n", + " 'dy': array([1.00231903]),\n", + " 'e1': array([0.99968217]),\n", + " 'e2': array([0.99884193]),\n", + " 'lf': array([1.0008833]),\n", + " 'lhlr': array([1.00074582])}" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "get_rhat_all({k:v.reshape(1, 4, 400) for k,v in samples.items()})" + ] + }, + { + "cell_type": "markdown", + "id": "39dada57-c4d5-463b-b7eb-d1f522983475", + "metadata": {}, + "source": [ + "# Rhat for all galaxies" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "a592d4cb-05e5-4803-8d58-4207be9f3ef2", + "metadata": {}, + "outputs": [], + "source": [ + "_keys = random.split(gkey, (n_gals, 4, 2))\n", + "gkeys = _keys[...,0]\n", + "ikeys = _keys[...,1]" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "120b647f-0b23-4ce0-83f2-c891fb7f9d50", + "metadata": {}, + "outputs": [], + "source": [ + "vpipe = vmap(vmap(_pipe, in_axes=(0, None, 0 , None)))" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "edc934d2-0883-467b-a11b-7f770d511ac2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array([2.01260684, 2.01260684, 2.01260684, 2.01260684], dtype=float64)" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "init_positions = vmap(vmap(_init_fnc, in_axes=(0, None, None)))(ikeys, target_images, true_params)\n", + "init_positions['lf'][2]" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "783fbb6d-fa0a-4cb7-a67a-771d93affdd9", + "metadata": {}, + "outputs": [], + "source": [ + "samples = vpipe(gkeys, target_images, init_positions, fixed_params)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "56f4b139-2928-4d9f-848f-7a87bbe98e88", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO: Computing R-hats...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 500/500 [00:00<00:00, 942.47it/s]\n", + "100%|██████████| 500/500 [00:00<00:00, 1040.05it/s]\n", + "100%|██████████| 500/500 [00:00<00:00, 1035.89it/s]\n", + "100%|██████████| 500/500 [00:00<00:00, 1035.38it/s]\n", + "100%|██████████| 500/500 [00:00<00:00, 1036.51it/s]\n", + "100%|██████████| 500/500 [00:00<00:00, 1036.99it/s]\n" + ] + } + ], + "source": [ + "rhats = get_rhat_all(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "b1a1e28a-2af4-410c-88d1-fcdc7c94a44a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(500,)" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rhats['e1'].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "1ea2b43e-7a9e-4071-9df4-45d10cc3ee5d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dx 0\n", + "(array([], dtype=int64),)\n", + "dy 0\n", + "(array([], dtype=int64),)\n", + "e1 10\n", + "(array([ 18, 48, 57, 122, 156, 269, 323, 456, 460, 473]),)\n", + "e2 10\n", + "(array([ 18, 48, 57, 122, 156, 269, 323, 456, 460, 473]),)\n", + "lf 0\n", + "(array([], dtype=int64),)\n", + "lhlr 10\n", + "(array([ 18, 48, 57, 122, 156, 269, 323, 456, 460, 473]),)\n" + ] + } + ], + "source": [ + "for k in rhats:\n", + " mask = (np.abs(rhats[k]) > 1.05) | (np.abs(rhats[k]) <0.99)\n", + " print(k, sum(mask))\n", + " print(np.where(mask))" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "7d495310-8840-4521-ac0a-ec9a60d56f30", + "metadata": {}, + "outputs": [], + "source": [ + "## examaine some\n", + "idx = 460" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "0238f535-6607-45a5-8ce5-03b0269edb02", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 114, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for ii in range(4):\n", + " plt.plot(samples['e1'][idx][ii])\n", + "plt.axhline(true_params['e1'][idx], ls='--', c='r')" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "72c68695-06e0-45b8-bfa2-a2991a23f776", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'dx': Array([0., 0., 0., 0.], dtype=float64, weak_type=True),\n", + " 'dy': Array([0., 0., 0., 0.], dtype=float64, weak_type=True),\n", + " 'e1': Array([0.07912041, 0.0791633 , 0.06797017, 0.00477799], dtype=float64),\n", + " 'e2': Array([0.0644599 , 0.18997068, 0.16223528, 0.21062428], dtype=float64),\n", + " 'lf': Array([nan, nan, nan, nan], dtype=float64),\n", + " 'lhlr': Array([-0.31465755, -0.33543257, -0.31713277, -0.31626475], dtype=float64)}" + ] + }, + "execution_count": 115, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "{k:v[idx] for k,v in init_positions.items()}" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "5d038239-3071-4a8b-b67e-372563ef5efc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'e1': Array(0.0018288, dtype=float64),\n", + " 'e2': Array(0.12055929, dtype=float64),\n", + " 'lf': Array(2.00643786, dtype=float64),\n", + " 'lhlr': Array(-0.3234413, dtype=float64),\n", + " 'dx': Array(0., dtype=float64),\n", + " 'dy': Array(0., dtype=float64)}" + ] + }, + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "{k:v[idx] for k,v in true_params.items()}" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "3f8f8888-7629-4034-a9af-66de46f91460", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(-2.90060523, dtype=float64)" + ] + }, + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.sum(target_images[idx])" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "86df2503-70fa-4462-8b25-07c3f357eb5f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(6.698346, dtype=float32)" + ] + }, + "execution_count": 118, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(target_images[idx])\n", + "snrs[idx]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "de90e207-4aec-4ea5-81f8-bcee9720f8be", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d673235b-2bb6-45c8-86fa-4664bd29b8ca", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bpd_uv", + "language": "python", + "name": "bpd_uv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From c07e15752afedd039256e88017500eca59a586f2 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Fri, 13 Feb 2026 12:17:10 -0800 Subject: [PATCH 06/20] add table code --- bpd/plotting.py | 50 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) diff --git a/bpd/plotting.py b/bpd/plotting.py index 4548c64f..61529ce2 100644 --- a/bpd/plotting.py +++ b/bpd/plotting.py @@ -144,6 +144,56 @@ def get_timing_figure( return fig1, fig2 +def get_timing_table( + results: dict, *, max_n_gal_str: str, avg_ess: float, fpath: str +) -> Figure: + all_n_gals = [n_gals for n_gals in results] + warmup_times_per_obj = {} + eff_samples_per_sec = {} # after warmup + + _, n_samples = results[max_n_gal_str]["samples"]["lf"].shape + + for n_gals_str in all_n_gals: + t_warmup = results[n_gals_str]["t_warmup"] + t_sampling = results[n_gals_str]["t_sampling"] + + n_chains = int(n_gals_str) # new fmt + + # (avg.) time to warmup 1 object + t_per_obj_warmup = t_warmup / n_chains + + # (avg.) time to produce 1 effective sample for 1 object (ignoring warmup) + t_per_obj_per_sample_sampling = t_sampling / (n_chains * n_samples) / avg_ess + + # save + warmup_times_per_obj[n_chains] = t_per_obj_warmup + eff_samples_per_sec[n_chains] = 1 / t_per_obj_per_sample_sampling + + if n_gals_str == max_n_gal_str: + print( + f"Global best efficiency: {t_per_obj_per_sample_sampling / avg_ess:.3g} sec" + ) + print(f"Global best warmup: {t_per_obj_warmup:.3g} sec") + + # create latex table with rows for n_chains and columns for t_per_obj_warmup, t_per_obj_per_sample_sampling, + # and eff_samples_per_sec + table_str = "\\begin{tabular}{|c|c|c|}\n" + table_str += "\\hline\n" + table_str += "Number of Galaxies & Warmup time / galaxy (sec) & Effective Samples / sec / galaxy (after warmup) \\\\\n" + table_str += "\\hline\n" + for n_chains in sorted(eff_samples_per_sec.keys()): + t_per_obj_warmup = warmup_times_per_obj[n_chains] + _eff_samples_sec = eff_samples_per_sec[n_chains] + table_str += ( + f"{n_chains} & {t_per_obj_warmup:.3g} & {_eff_samples_sec:.3g} \\\\\n" + ) + table_str += "\\hline\n" + table_str += "\\end{tabular}" + + with open(fpath, "w", encoding="utf-8") as f: + f.write(table_str) + + def get_jack_bias( g_plus_jack: np.ndarray, g_minus_jack: np.ndarray, g1_true: float ) -> tuple: From e04eef7276dc534be599a056808f195cb6cea987 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Fri, 13 Feb 2026 12:17:21 -0800 Subject: [PATCH 07/20] clarification --- experiments/exp81/eta_experiment.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/experiments/exp81/eta_experiment.py b/experiments/exp81/eta_experiment.py index 368ac31b..680de547 100755 --- a/experiments/exp81/eta_experiment.py +++ b/experiments/exp81/eta_experiment.py @@ -89,7 +89,7 @@ def shear_eta_target(g, *, data, sigma_e: float, sigma_e_int: float): etas = data # P(eta' | alpha, g) = P(eps | alpha) * (del eps' / del eta') * (del eps / del eps') - # jacobian on eta cancels between num and denom so we ignore it. + # first jacobian on eta cancels between num and denom so we ignore it. eps_sheared = vmap(vmap(eta2g))(etas) eps = _inv_shear_trans(eps_sheared, g) num1 = jnp.log(ellip_prior_e1e2(eps, sigma_e)) From f678d76c0d28d1370b63d01e239285d84b5303d7 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Fri, 13 Feb 2026 12:17:36 -0800 Subject: [PATCH 08/20] no units for flux, carlified in paper --- paper/gprop_dists.png | Bin 113696 -> 111291 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/paper/gprop_dists.png b/paper/gprop_dists.png index 27b1eb50b6a1a83dff9372465c9b6cc5d89d3b3f..4cb3570ca9f66480cfb358d3fbbfade4d9a9577e 100644 GIT binary patch literal 111291 zcmeFZc~p~E+b$lpigkdZ6p*n66bA%UWG1PWL6kv+7XcAaDu@hWk`N$-zEnY(3MeR3 zswjwnh{!z4EJB0`2m!(z8A5*-)H3C-Mip#lGN+*@E=WIJu6>xtdlS9hW9O$@eN;3 zH>|Il%gvwsZh8B-U_H(#o>Ep+SNQ3+udk<%rjnBTzu%#V^>$XOy>_=9uJXO-1#2G^ zO5g_a@3vQ%Oc&HP6v|NdoP~eN4Ci{Jqf3D3?W(7bA1}pUACNEj%{WoT{qE_B53+5x z3bN)A);BWcUkyeFiy9TYb`XF70x#IJzXL@Nnj2roBFO6XFZ@omJgn!?z`S$~Q6Zi5j0$PfJqM9$vf*@5!>vNBDkvao)7M|k$tymqa~*wjM* zVTI)Jl{TC>yfcI~aXznSx=m|0%If;{D34-sLBV_HfA%i5l`}k$SIu325S=V%_^5R} zw#dEE#w@Q#)|hgEq7olvwNn^vMlt`#Kk4DY^kl{)YAGF$K>&~8-irL0!`CQ z7qMK+6Gg?vqaEo6a5)%9&ztKJ=b!!H>gsByAe`ALjH;1wEwu6CaXH`o%40KJbnAbz zR}$LeMQ=}Srn8*i+fp~kukMAFLgUAe7j<=K zW@dED2ht`3KdikgEc~(S&fPg5_X{X+@?yn3~v&prDNm29Y4-Z01pEz+M_EzuE21RMG=T4z{Wy^My zvJy<->|mw1b%GuY8QugFC~nK+SE@}Q)A@RCM+|nqa7vX`@HW}*d<=W1mdxxEoXf_;LDxDtj5b(7SB6w>%#R?Q&Y2~#MSk5P)`afD=Y1E zQ$AKNEiK7X6%$)4!@vC)(J%-<&!}C~OLn@85J^~PXXlT3H8E~5sS(5uW354xOiJsx zH@tbAwPu$|(eR_*%=aJhyJ3}UnY@}3Po~FcC#KXZkOd-q6_dK~0fB+#iE@TYhH-Y4 zb{KD}Q$g>gxUnxZA5;ilbbLLVGP$_0wo&EUXy{#FU3B+ALA#*vS^3`!9;xjo*++jA z#QFIJ+&h0`PV(cpxA}v@UN`<(uces1DUuOHXQ_~vxVM+j;;bZA- zOZp_2_RI@gzl?1z5!{Yai104$hoLsNf2!lR(~?dMBWLHvC*6&H`%2?`I@S7P@hAfKHQf>YMK31>NI0!W-+O4VyNG5j(rUKN5S|_R87iKkE*L`a(+REed{I8An=F==#!z_TRFP}xI+xUa zr_jpY9^*&4`0}(Bskh9-=o-|^doj%WS+S_v zfKiyoG0uHbkGjVA)YKi@%7C*FU(YR$>p^Z1SM#V}UM^zFrQGQLh0kGj-BoaDFHQdL z(p1;iuV2;Q?@qpDjeJ6;(VqH>%4mcO=msUAj9m9;su(-oy?YjtTQPGx!Hj2QdS-CA z$M?%pMA*s$QTN+USFLRAUvRDV9u^O>EUm$~b5ri7|b7<$+DEpVJ;C zN@Ou_P~Pys%Ip9{-N3*A0b^h8$Ef$JVL^TcPXfvm+Vl+#YpKqgmp_#d~mVUZmd3m|{iAGY9OXIa%OFr{eteab8O8Ad^?h$lCL~ea_c~WGZ zCM`T^tCG#~C609(VlOOb@~1Y^zJtwtTSd%^z07#9!o=O2X?^ELJ35aq+?mo38%0Vd zK*e9XB_#Fn-vaiaw`(OtvN||)}k5s2#VP#23*_!?_rxIIJ zzg2a}j5XH;S?!PvDTUkyg@f?i@jaDsyU+&mgwIS-9Yt3%CBemlPbrO}lKSnRWl*)s z2c(Y8>M1k)!+O-KeCX{K(cib;ME1RwNZW$;Ky_>Cas;ZP;To-9)g2gld^xh~1Ox^65OP^|ybIKqqK6%QE|5UPBM_ zhZkplK)qEsa_oYs=4;;s_idwEu6Xljm%{@pr687P+BNtLdZld@x2t1>KL76H=<0ex z(Y6Eu3M~G6$EHjN&>zLV^6fn;|MY{4KP|M<+#nxnFJ$^pLeZI$Ob&a6FD72@)PAjf zPXT{)wCfe1P3hjHgofp=uCDw{L3b4~Kp>A=Z^?e%HYB>R(6CtH`o!>!E5Gmu67Hm0 zYf;Fgx)Rc-%uyiNq&6`)7Go}D3Nk%oXBwl#&9!E&<1$fTL>o5 z5e)0`a0*7S1WfnXicgZ7)&0QYm}|e}SsXuTEPGao60O$yj=*eS4OYY6hX8>Lze}z8 z;>*r@%D7UTU%5`np|>#S3_rH+^wKTsBB8w2=a(odMMXt7@7}#TS88i*{oqQLN=F;5 z?$g4?+i?1Gd`f0S!^j!RLZMA=Nib(Umg$~w%WJwjw^l3=Rnsvx9+7LSXpl*Hz+f;Q z7=$hNsLg7*B~3u#PjY%J`zgE9I!<1x>K5!%T3(e|;=}I}0NZ&gN>tpIQah*h2YhkJ31E>i1KANWP64Zxx0)vM`{CmI{|eKk|R zQmGM61&7qIgPX7|U}@@Ur3T=lo9^!JQx7(**R)ghT$1#&EW{%1N+2Ork#7N9x{@Vy zHP23Go~_x+s(YRmF>yByDhb(E{5NaAZ?7Ig-tEb=j{!8DYSMIf8!GY_yQ&TT375=L zqt6Od&D#kYAGG_D&*B$)^FQIu;o92pX*A{++aw$cm3a~-ztU2EavyG~W-W}ZTYBR~8McP=}1CV~NWNG{O zRCV3aD<6msT$$AaFr1s4`?bG6GAb%6U(;(_4gQFdeK23%GZUYTbXeWb3O;|}->Y3( z7%On;h042o&7)XL^l)|ay7}L1l1f(6iMTR5ZzM(!pEC~w{C1*I% zC+-{f+@#PZidu{{)z%xxNwut?@wh81oD@037cQDdzez6PFU83LqC(IGVC+X1U*1!C z?rgpM$@q7h+~xl7-T{_}NB{_qQ-1y&qc>i0u$|?nI2E&iOm05ycUVLLX>=syj@lW~ z(ZRP#<7>k?sS!ucw&2U`@|ybkY>>~=oU1UeWkw37!;5Lbfx}$Y?KLv-iKPDL_JRBC zc}EPrU$3<)P{mXMPIWWd;2}#K+|9`l=(mt zc|4jg=57jL@=I~QySE)}gtzUV6)(zlC4mJ5OeqkX+99lJ%jow4tt4DUQG_AiM)kUCr)t&bVhU^zw?!57*-4IwpPfX9+smHh8MgA$X9E zIm{pZYsV$*>IZsGPCl}Dfa1lt-=6yr&?M=K zCV+PtCfXkXb2u|>eXoqBWQHyE#C)Q&@{5Z_ATr1tZ56R7D{E`7(48p#pOi3KJs(D2 zTO1FSP$H2@QwOdUxK00MJ+Yg08*4e%((2=3b-&^mVAfLGXp_u?g*GQ)&p?$^H0qFk zqO{Z3AuIKLBD>b{Q$Xt3Wh!jzaLzr7p4V5pj4=gvx$WxRGWLWZHsRL6%FMcS6Pw)b z^Eo=*0OzXy$cC6Bq|XgG-!U`jEuhWOo(5C~j};YcRHYXBbhxO`GI2>6`S0Exfa&q` z^V^jUONmqidKJkf3F#EzJ}A2np%VUC5rn^6K2Ur2GI9Uxt=q1BjV*%hHv`k5K!n|D zONLFrM}FCH8}iiD`2pwcPNv%=t?uvzX3;9}J~Q(T?qymz=!yHh73tq6&41xb=re?E(NDCT&Y8~{7Ho_+ z=~0{ht{id%%u`hrn&KyaHqT!^HJUdhX3vNH)OHCVOTa%M*+0Mp)~W4*-z4>x0S{3{ z65vWs0z1S|NR62Al6?=CfE^WtCeE~dwN=DH!2;GK*K%4&c4tU|p{6KA)O0g1eJRK+;m;&|IBF^4oHN2~U?`o*~nPUN?Xk=24abaMYW z{r*5Mo$v;FGw4gwo=(O&A7a+7U~Q&*l|C5%9xi?I>}R#fK5M?rJ;~kE^^=?F+RP=pNdEaPr>oSfGUv^?yW!HD<@K8n%% zu=t|TouqJbz?Z=)0{fGZl6tGZJ#=@nM5(UY6(6(i46#|mRJoRVwN>a--ZSa2#0MK1 zg0!*5Ro20@_P)~F3G~Tu(f;pj?Cqu5%uB@e&)%gKd2ONQ=G!;x9QyIa!+nfpBmGeF zyIkv}rLuvDw=`zT<%?ehR3RXx9S+(5K@8?nK{W0u)*rwZbE3ZXg{uS~`9|wT*~$3Odwrqw zr&|L&deaX^NcL#Nl@9>pb*Heep0VhBVbavF_qK|OuQtl+$il+-6(GKV1$uT_ed+Lf zr`~QCEky(MX@;ahT2N7HQ^ll%U0Jhv`;JTl*hn_=sS|CQt`Ux_mD+~hzMiyrqy5?` zAyT&XIX1b#r6s>oW7MV%KfX9#dXEI5lC@Mtx?ACVOKwI^O56V}lOCUU=_+ zf*p|Va3v1%5E=`9obqbl2B9(GjsyZ>WON2{PM}Gflh26be(6lRJZUke z3nzJk?j<$P&wFF5Xez-rtfo_nUu0j zV<9ImR`f96w^J(Zuyeg=L-9Ibfc~n4ugH=(h-xp3x65m7b@n+Kl)}Ahl5b`Ex+wZg zw!{rPM%zOO6B1HC-ve{e9LieTs3#SgWU@ZFYP;kV+A!*AE)M9N-}x0@hMH@pHr(wt zIXyM2^65mHLhEuRN#2@v+%S%ylTU+w??JSW=Wi3Wu~DfeNX^pat?LA``KcaBq$Yg5 zR=+FGhLl^^t)BKWloVx1%M7K2{^R)L2acLqEN{iW-rlDdwfI)FRu4Ua1OmWE#tD}u zHRxnRzOicKI7s;ofX<(ZrZnx5N$5|GKRzP1A3b}v1F%j*j`ttC#FOucs{Rb8Jy|vYeM#ISXDHQ{osoCJVb1vXZKvY5z4f&4R7vtohiWMu1II~i? zuKpZWc)W<=-g_T@n$&z!A2l@;oZ%@(OVz?HA3htezRI!sBa3?9QPa>{!?xlRaDteo zNMKhZ5W)rkq^8b5Evv4CNK`MUPX^CpTHoDERy~NCIA@2x&MK(_`WtBrY!xw-+67=j zv;coVcW}?u)dEU?!ddxPdD5GLguoQ1LEkxU=Zlr(w8XIXa@jq~fqTByT+u8!(pe&+ zk$z+yD)z`=WV*VmNNwiuP$2#aZnj^;>xR?n_8`0Osn%B&g!!gVn`Zw~w0rtzexkEH zhnwM2#*~0w&_uMWB{j^)4B87h!(FZciLK+Xa?0m$(W11Rb_xJ`$a*TqnRX7u!EhW( z9XmGed<`nC$a~qFIfYTqz1`{v|LbZZgKP%i$dx{=7zfz-+tGLL^!?XdKUjug@*U*R zmwcJU`McBY5_@Y$S_}_98m`Z$GEBZW`meH1k&o52zq3^=R+`sbO_gk@?fqVOxLiHz zkJq&PpGFGI3RqRWUUouz?lr$t0CuWg?X}D@NqS+eLN0JSaQ!RfbCju9K+^nXty(hw zJ&K-Mu`x3x@*Yd8(lI-yHBzvGeH2SBaC5c&_sqHj{UOH90pj?9Bf7*MO-dZC)p!xY zuaHVNCZB27GfB8bmRl!J-{^HyH6GB}5g(1#{^%*QK2#f;zrrM<01y~((^l+B(2*|nIQt82$dLx1%LqSa827+V| z1V!pe{CEl*pBCffm4;9#^-aVyu9t7lb`*Zi8V9ZFQK3D^WTV;pBCn{Y-nuqwm)x!i z=?5l!LYeg`xslUuxv4A!RN6u8JkY{QY_MgULVaHIz5VS@p^cKvGKV@iD23y4m7|>BUaIx!MckGNz+FR3}ing z^IYnCah?8<6C7w>`>MkX<0AWK73@gEUq@J~`T)T_|Y^d1ArwuOqG%qv+&OG^M(5duh%lxnW8 z;|I-jN;YKT^X(pQXVz)cK)6K>T&o=LFaUl!oFe|Cml(Z{;x;WuPq$9Z1d0pLEeL6% zIprEaSqNDtG}MI&$oEO35@0Iajz7LQ4-F_HE{&;-u5wqZtFhlLn)Of$+)mtFaHUw& zce9!e$66$urSKFvS}&I#4Cn;tk|Pg&{7XZ^Tbzs}mVq|r>9TkDs4(}SYu-yr0k5+L0Y%hakZRXO`W%}zLwi$EA%#IBRf#7vExh<>l!zySf zRy3AL=9yJ$K{Gwfy7+7qt3#okQYX8wQ703ql6_8{a|1g=q+=6FI-KcOE*!0?b@v4K zrPRefUufkNsPXb=9$M3l<=5Jmoe!T7+T+-kp{gBPr&6_p&-wD4_5A`pzy-(a%&Vj} za97~EPUiUhVO=P1>SR&yDcNK_)m=5Y z5>m2xne>t*6vW=EZ-I}5B8*U#m8CD>F%PEd#1rfa`J|qCxjzHKMc-^h07cN1@bBM@cZpZ z!JVhw>vVE_N^SFCo`F~hq*AGsAOftW-W3<=sTDU1BOEau)zM}^BIrx%Ufa~T?$*xX zZxaZW@FfAj(p^$8UrmHe z0^S;gs4aaISdcN+S~DYM4BEaR$-Seu` z)?ZEM#Q?xGsI;T41c9cPPnQ<{HR0AgR24v_u^E#NoJwGS)`HNp{iUPW50RgMNe4nP zFi@+H;Wslo%imYFc}0+^W93>b`gVlel2LN*1)cf{k}aKt5LW+E{`QD-$PNL*FiN3y z7e=dLTN6Mbpx!`(#fO1k#5t`(q8*JtjiL`U;Q3I>CqaL>)VXB2Qy+Bj3hw$ei+=|g zO0@AB3Vg`BQX#ffps}bT^>lYn2z~FF00h$QDawZ(s2aSSQrP%Urn`nJkQTBLLbQss zg5K)zjnuOawxCnV$b1}MNRizJ`iiL?zcUGbjZTLWzH>Tf z+vsb{Y*@lmOl1_x;aKz5#cP}q_<9ezstXj~xdL->&qt7eU6O1l`%$P2UARUvTqAf4 z5!ckS0M;I!3@F`U-~w7DECR48gU?W?nk#=M*7Y7S-4((CFqwh}HLGvM=jD~B=5jUG zm$SQ&#e$`+_!Y+W@+YOR0^_uODE8A2l2&`R)b1NC;F&}ZvCrX+L}hFyS(=&=ht37Uj5(-YqDyl1*0kXb2$nLmgT6j8D{ z7uC{&hp*Es_@u#n3F}Fjb0#i3&%ab6xNLekv`4jQYbG0EykVj`Q(3)ktOD-ixlLor z)orOS=lWdp^y;1MJIO>Y%P0E2-rQJA{OSYJ>Vxpr87Io)6IUlB1ffv3l{2fv?bkaK zcdhL)y4c?OVyqE`N=dlYj{gxx$~iWJ=B<&-pZ=n&TQT=xZ)g*Vw?Q9}gX#A$Ds3}t z!9RV}FNzAG6h&$D+X43s3KMz0&5j%q6 zIazuNg^FbU?M_k8!qEt7Rde^0>IH)5LRUBF7!1?X3T2w6{eVoE^$`@DU!5N<@gDz} zBD)l{m00tls{5% znnItqg_zH`$dl@k_+(bD*lFVzej6M{)u6Awv3-COD>5M|g`!*J^+aTvk{S)9 z2|~!#H`Yiz{Du;*m3IJ%Oe0sg>OJJDu`Clr*H!)pXN>pp@rn6HaqPF@-8COdy~i&i zet^xpp{L?TU}Hp!??KgkY9Vb?-|sybe`XsRrF@nYw9xX?8n1=4Vc3E}?PYYnyfhz= zS&QEsSv#)kAo7NaU$>*$zh66p$~11*(%9*Xa=0@H_YF6Id|!P-gyI>LRgj31U8LHe zzbs(%ij~1Y7C#?KT^=Uv(?3&ir^^brU78$Ew2#KDhGImucR7t#t_((;xccUshCt0z z@5#=W5R4a*&v}8R0Ux$Q`K-62mF15LmBB2_or^g&jFOE zJ&&1qb{Mwl5#la~?y-u|Q^@v|CT@5E5fUB_BJ})7gi^bPj8!m_o5DYb3Wl7?;;m%! zR`xj@YL2>b3g+?2Sq-K?vUy=!N;h1sUhfJIUwv%9_M_VO4)-^+*bgWNH*WB@)(al{ zBHEVtPz58{c7I>5zhgWEQsP#$hlKynFT+bzn2`4Aye$3^VJX=_vDQpn|~n)ApzQP5CZy<5RV z3t+e^RoosPWpyEj;4v~9#14!ZovvmZ#8&d=v-*wvCtoIxkT&9pr#E+Plg0@R=Bup@ z3QV<(JvX1+V88YNRwDA(>##k7=S7HKNCsAT2@b8VgM(=}QBI-yp5h_*4IHaZ%E zNyDk5=-tqLIAXC%;Bo;l1#n1EFu$}^1&Y1jZ8N^@s(DBC~n|ZUeYD@>q`ucSpubIvKI5hJorj?Y~ z@!n@JxT+GAUuHF>`K|#tX5jm8jd0lW_OP)L;U4O2s>?>C31Fa$(u75`jj25Doy|Xj zAR=J{4)p`m17triy3qK3rdDG9xg=LM;L#7Pkn+OPGJ^{Cr(N#t=DC)LR14JH3r2R= z)X-Ut$>|T17bz;xrEU6hy+@=*+@d@8_dge zCb+xl_cqo%7w82y`ZTaaDkz=o&$c+|%z@_*s6;=eeDWHs_4uw&LK{#NUKA7yj@rGtt7H@Rg6uwZ%P5AKEB2(7$Zku;eKF~TW0?V%#Q#?`{m^2#Vkr$ zW+U!6Q5Wj)%?&e3=~AXTW@;BG=u$>!i-ELuqlWbk3?P7XVVQH5d8D-WGbs%KTf6KU zi`7CBp+eMgdC>V8NM-ZbE=Kq4K!Ms!A?**GLJ(gH!w;GtN3BOIqg60;UH4Phkxci= zB2F%}-m%lA5ZTm>ib8urv#4xYYo}*G@)z1j zvUfq_VQF#vM>T*$>cwN^6g|o(Ji95TJ zGh5$kTkWrAc;(Mqz0Kz3wa=k_g9!x}Gk9yeFR&LQMywNba2Lyi&j;HovAIHc*st4@ zp%(<^0o|_+Y)gG`0VxPW z26G&%&)DpKp#uk-;{F4vU?IKo{401K+2GfPDFH)M4B_NDgTEp&>3W*+PL7$1LvEAYipk@9ty%c*O8=+1o>050pSY)MzMA;Byh@ZXb z$S@QK$ZiIZ(Q)7r5?cx&j7@%AS3~I|Vm?rKkW{L8G}r)FvUEW?WDZu!Vt=s(m*&$Y z);bxiY>aDpWm`Hb*w#`_3>KEFr)auU)%Rh(XJ=;bF(>Bw=QIoGRA1$SMrtz+O)vkS7+&}We%|;5T{5kmP@;@}9Xg#w?vra^ z4?h8zL1sAL7DTKClkukL2Q+piEdn|$?znyQrNorkAqD@1v6g4mfy4JiMgYW0xlj?X zej=~pbO%&tUN96Jxy>07Q7z(ks2IE!By!v6rX z>ZT^_`hsEF7g)08eTR7^7<$kUPT{+9D+RRLeW+YWSXFSAsbpg(;JCqyDH&J*O|`(o zdx%3ywKUt}c-V3rP$Wp%g<1oL7sOywlL@)N)D7XUmw5gxgTC|;d~)f%ZfI5zn5Q8v zHbH)I^YCcTL6tW{IjLCczDABLg1A9!YsgigG(1k5t;<`f6~9=g<_X9Km?fy#?N!@- z$Dw<$Cz7#^#Z^nWwPbtlLgHv3jXmg7T5r^jcFn$j}HS5g)`jM7~U%U^%ql)MG%`xliJuI@#ws@XVW5_uQ42}jRyOT zh9P?O`c>YYjR@krQd&79JFlvYdB4$~H%-*xPGUHjKux|)J{a)=>@f#k=%>&3zo^I? z@Mr?9?1)D;_^x4cVYA3mk$QBe@VQMcdSzD)03nB@$@GBjc`*GjkO}^z3RBV zFM|{~XdD6+yy504SPmer91RxuV;o9ACwWGOBN|!=1rOTSYc&)QQ_Zq`NB(hCD8uGY zMvR63;PjtzhAPQz$XOJ?#c%*Z-Uj;?6QDg(!2DQC_nKq91H$@SU|Q?=F4@bkyQZ=R zn^2wAn8E) zZ6+~?eP|V0s1)3rq;04t$=vsLoEOWl>MMHP(r({DOw#(gVEk*0r9zEAXT*oS2muRz z3Sc7*#I9chda~noq!7)E;=Ocm983sNB3EY$UxE9k zLo(CL@x`W8Mu0Q0SE=GHlg$trbwzDjjU0%&D4>LK3gEId3b}=>dY(v`BFIq00pCKTCnAO!TzPfRaBg!v~ zQ3FG`jQ(s3rbX_1-fr-1C;k#hlbN;In^@f?-BvjjXhw7dB7`_1fD-f|@ zWbym0`Nq21Ur+_Wz+`f=D44l&r!c^+mT+JxKnKw!rr#G*8Ry7BD3rb|ksAq18)Rj) zKyOerY}a}?yy7j`EkFj)_mm%eM6t9igv#AA6oy+xt|E08?)pGvW$ zoxDd9l|RoFXSrWqU@3r8ntoXt>I}HDMpV}+=VOwBa&mHX>$zD4Fr_~UisRhrE*iO$ zxd6xU$D4G>9{nY!I-CEb11bR}5zNo2CiKr_#@zl4vj{RAj6yRyA<$(v(JZ;zVr#69F|xeco%X;hl$l3fh{HbuTpJJ%lD;LFS5Qk{Ug=#az5ZyG zd;&&~ngBlm=u)CNI)0xat3J?g<(FSDSVA+WO(RtMeM)INFfvYMN4|P>sz`2tb^dws zcM*$033|M!ho=n*?;Z&bxAzQu=^4p90xPv zYHO^qZi=3zUr*TX4YE3%H-Qf5jeWHg0*!s|Bieml4|sa?o?ZUBGO%Qw3}!E6d@y7H z#wy07V^hYC9}9wINUh^X?5?`{m%YcErgxdXMd~<6)4-4)+&W?gZEGx)SzlvKcN$3f zAOc@e+89p$9yxb*p-Fns!+-yh%eR<2(o3bw*w<~YxX~N8L6JjW z$y+f?@jY3hcX?B9(1ZTLBs1M$Ark5L(hXw3<(g(wTMYM>lp$++qxgdBeP?S`Q9N?0 zEp}NW_wH9<1D>{!4CIM+3ZoMhb*1C4NKL~G;dxH`rf?bjjmbXq%eUKTA|n2m1+95+ zbYnT)L#I#?d6>sO=^bBjI~>GxzOmIrOm3=|!pbS?{0`kU4DzUO#3eI-w?Z3p>79hn zQQ~SQwzp^f%0tb*N4)R4eve$}&`duENwkuCjaQ(f{bBSdVrgx9=xR}yuB!i_y4r3X z`h5crh(g3SUd02CMCMg=jUZ4Tt%lqn?KReFMl43!DJ}&UC-{xi?=KiZPya^#0@qcg zUqA@%&IqL{(dva0)u(~h6#W%s;GBE?uSPz+Te;-gHK30kTD7I8*8^0 z=q*NC#91wucB)cE%yXVtYJ*^Z9g_*pDZ1$Qf`TG+gm%^qvfMo_ug>`+x7SU-)D}IT z4@UDLuWB{s(fbBn{POk%cCz58u3hhJGH$|I<;}PlkE$610_m7uGFhUj#PPN?9@u}; zDRQY3tcvUFF*IMsi&X+8@&~ za#%cutVTqCd!c~^R2kmk(;h5XR!y_+Byw8E-v!~e{Re2{acD6#EeTA;F#3NM3 zvco_j_tl?tWb@`)jtNQGyWj95${e~1KxIZEsPJY6RpyTc+Hes%ouM)u+v&btr zn6vX8NY)^6SDt^StgZwQas>o>{sCubecuk4H4VT4$gb(7TCaGy$-A1Va7Jq|_7uDT zu3{P@A2};|rU?!@f>0hjb_zZUCYCpeWI742Sl0xIF%*mpL7-;q6t{7GqQmX-t!99( z(q?I|yX)&Be}B*%Oy%Ht0HJvr95sX{Fl92~3kV?Ix1CGAcYe6kec7JQoxe}39<`(2 z>T**JG>lt>Zgc1?qdE*Y+RrP_R>X2Io+Pdx*e2&H$2z7xcp{ex;=y@fwQ0_4m19f1 zXFoCUNLMhnhqNIPLCocWj~9MMqgjQa{? z4_FaptN93<^<;96bsSnj=4US^Hs2~}mVO6L!y+bm!?=Cum`uPwQagPUKAa{RinLjm zJ{>x;?NgdKO4}4u3am1%I{2N}m*B7gIZ>0>0#e1q8Hf)zx21qe`r8W3_EqbL5t`U)B^fPk-w8kcpJr-TW-7}Ai(NrZ&XUOR zpOGPgYRy$AcT{4cC0>5MluS^Rk%5So z05$AsfOt)?bnxm8q?h&LtS=#&AYGCl6*;cLjczf2B20SO`?tdI_6Z^wC8glBk*tD3 znHU4p4!FbW>N_3{m|9>eou3Z?n}{&Cfd60<10f6aHh2N^O@0QUBhGB=gL<&J;d~=d z+V&m5csBuE{2U-*uI06_eiW4`Am{;GK@#gP@sb4`4IK%TR5sA16&DJG&rRR8whE;f%K@fvoG;0P>6t>4R8tg%ViE2SdbIt za2^;@2(Dg54%I@md`aUo3jI$ysD02W?gVWkdCQCN60`w0kd9bh^=1%i7mf)+5kgdm zsdxFKlv?bs>k>n;K0O2x4#tC@V$y+D-F7EOm)UqXnDw zxffG`vy9O(p~1-07U!y$)!onBID5|CuI$1ES zI~sTx=t3P@3krUlvHBc%FFygvTCO%{iEO$q;n4SQedrirbvSH(Z}r^Xtv`mtq}#P5 zAg8JU9V#t&Y9U~V!!Rl1Uss`W!1pB$lb4j?*x<0=SNPxZFbvF5eT}_rn;R|W|C^1fe8!%WdJ=xX~1cMn~i$ajVVIbN^Sq@ z4uad;CkUAcKMop3HYldJ;vY)q%YlCb70Kb`BE%;`xPV=6^91D7*XgusR=d`GyB0ID zkPKaDQy)<2AuazJuHm*I|Bp*9k-w1q%E!Gmz#&@IL5I47^w@S-f)$7q*q~8yM<(24 zjoT(NY7ntU&WY7J!gY`XX@Gvfn+>4VrY7w*2MacO%9EBVggJE+Q&*9)aPy8K~-wbKjW5X2TJmJz$SQ{e`@t{Et9rBVljB z{m7tCgsUaDfnFn(HGt^CgZ`sY`8NqG130*?_5Tv7Kgl4_YcItE&=GtZHZ4t)4*L`6 zPXIKvJXcspI8YLA1)-|GxiL3G75tD7!4i1_%~_;?WDF|G2bmvhOpzuVc0aVn`e+hy zRu!fS_Q$Sgg6)ZF50t5HdttC6dp8+XV8YnIVuD%LV>Cc4fy< zP#k85va9#ty#HfVNLGpO zW%D6!FHkdG%COb=Vy#J`nNi{XZR*wk%E@+zLHS2~4M2w)f-gWG5#IHe5gSCjyy-|` zk6kkE=%r`S>(+lWf4Z`_m&2JDnEm+iV-+pt($A71X3e0P|ER$P!^^giEIgyI2hmKC zaJOpRA97}Rl9Gx1Pd&IG`i-8%!O=t5jOI_J)snO}AEN@f^MS!%rr86KQ3Xl4_t4QW zbB1v#t9Xg5N`>LS#>1Pa$OsoQ#I=gDea|1PHJ>{WBB~z|&G}ZPZ_; zFty<8Flj%r6YMNV8Xu&w14El?W^7Bn4_7U|RBAws9;-MIc^iNUMrH`H>@*>(0C&#f z7Yy-v4RRpp>SKKOmxL8?Ho{yo9(g@L|OkVCY01$^vBo*lmM2IkH=P zh6}>4f#w#u9-Ic}hL48BNfbCJrv3i1POcvmZjdPe1tUU3NkN9vH;*H zH}F+t02I>sSB(qeOxu%iqMjbtVc^_!-Z#wVSP+-TDhtD7;lsW|u{UpOwLz)THLo&5 zgnMk#R}(mWg!V`D3W6SJ`;t&0VX&F#JApO~fE@-~??@%lmwfhb7#9c!w&3Mzs6T46;4=*JuB4_zWr@FG|7bhvJux>fiyK4HcSNNY& zyj~^*Ua$@~VK{CHMF{R$B1a<)dGgJIkr!JTxDq&$2(mJm$`NN=yq_#Od4%BTC<{b5 zUwS93A9Q+fRvfWR!gD!%6;SGte_Lt7!2b6LahC9qdJJZc7~UxFtMuL{1qk0i-U_f~ z7fP8Az5;UZgJ>Xj_@)!c?*_s-uGw|gvTFAW47mGHtWA590DAQ&Zai-c^B_FDDMtDl z4f0cnj{!KWP@@!v5KdlSRY8GzOm*$XA^`zqT%Jbs?NR&v_VpjQh4x2u^nto8y zz}B(F6KsxOVY@71gh5sdF{l~n*4uNz^`&U{#eO&3IHEMcjU&#5rq^#t^Ko@xZ-1v_2c4MZJ)d~l;(5b95j+rKO=a3LONWwZ(O z30awu`Ozk1yJ{GG2iGV#{NL<*|7mgmcV5bjYN+Myk+ZF zd`N8DpjjW1c)tStI)tVBuSJ9ZL;m7_HYxr8{_UoV31w0TjQS4^H@)UynNjWHn}$W? z2J4vDG5(A5F*SR8z$W&W0(b~=I?uz+4LlT>gA9{ttG|_3n_RF8$;bep0nG)- ze*oPR%M!3g$j`)ZztCrR(iEf!@Eo)Elz{^3F;Mm+Bywm?&lhXuIs!+Id%X`M5xynIv_pp>nm8ifwAi~J}n(VvIdLBfDef{Lw{G>n^JU*9r$fbj#6C%}|@ zZaAAJsJjT=OPQR}G6Cohj6Gr%=?1wBjMUN^Vg$RqlM?j*Z;$k!*MkN&CeJ>QSK;9o zVAUoI`Lp2`-Q3*v6vjER4K!nEb?e>rSGVwW( z*J0US(3L9&z=2_MR&nb?A$o7W>|8{&1KoWYvKSL$dHkC$oi=2I3avoMBG2)FA{FJE z0}hL?D?=)?tN{1FSI4CFipXc^Aar$s7K?mOsBUHh?78OxQ#i#-K`abe0wPU7Bbgrl z_qXN0-?=z!MoEv3n-vK)J>9mdLQS2>N0bHserfCA6cuB>m@q1-$93=4_&k#Ue1}j@ z+in=cNqxeb>*YmQo>@d)X4kAr%wsu2IFE>M*7`QZK_#5fyt)dzYobj^j1n1noWlQ{ zHL6~o{7b-818rL&*;RYCn%*({p7d*+oa2vVHe0&i8P+s%6frj<^dpo}Bw*Aww-)V+ z>2UA?zMhRVgK|~?zn~yc(Q~UqNt3L|zXv(=J|#l%Te?_UbdZ?rXVbpfinPC-@|!M1 zvQaS{sjvK3S8#U&N=c05!L1vtc?;t@Qwnl2>=B^ip;2ZnL+OVefc6Amu8@eJ9}qob zVB_Pe*#rOb`=Z+8{%zCql-bGw+t>dbj_s(E%^+VXm)Eg`tp|OmVO%}9=1hfJUwFa6 z#nq2jt4?>%OG8_aty-J-E;j!YqRQgKU^FS`U#84yZ42oO zS{ER2xaIlzUa$2g;@>C3W9)(w0ZEMZ1r1O+V57-KX>SEtO)r8Wwo(GeNXqJ{5b~5HaJs>0p&NSEHvmtD z19Ac}XF-&DOMwiExHuNKd={qeM$+yNOQv+Hy_9yxn}?o-u?s=fo?fE z3FmRb)vbTW!Qe+U5WEQ1C)YOC-_x=GzoiJXK4^3#UH7v<9tK+iNTm9MFs&gC?_uMG zlQWzm!eOms-ANgfRUF}G1C${CEutd7frU`(7my1pzeb=^GPddv#E6q^Mah>;=$fsL zZsr#8V>~c#0N=RzoUs+7BJp|apQ~(glgd)>Z5iHAEk^|E>V%AA4Y6DTC~$me(VU%tSZXl(zg&4EDVlGp*a?=L23DSa`gTydoEwdG&;{5U})sj2|8j zmLUTVs;M8FDxCqRZ=tIJ&)(AK5A%?>mVKafA!qNs=YxdFaO@yt9E@8(#Yo(h^RFHv z#ASV`M)m3CYr;l=h6Fj1(fGI%c9| zi;~h#DwK*OMZ2_jq~)}obH16~*f@B96}me=cbUGF*H04cJZ zG&?Jb8X+M&M}51>-K2^p9u9yxr_x^Ybv{ar{5wCMOOck8EE9IbQexOT5*{z-knrPH z2B(2u@J*~}T6(P$t+=~y_64UK?P4w4i*b2V<&dC5--@xC7q@TDml}#jJ^z$12GE~j#*zF&8gF1YC zKy@?|tA*IDS?uQx=MA|WaYlL38d*_4oqiYikhkrdBTE5UV1!912*uU(Cc`S|QC%u6 z>wJ&fUSLKvde4i22g_`xxSo0g-0Mz4!bCu~jrU5OYJv|!5}#3AgP6@c7LP4;d(O%M znw8N5JEuKqx=navK7gH&w#|t2QD3(H7nR1&d}m+AH29B6^$Op@&G@>_=q_}e86hP% zBhjr!Il1M;v5v1eobon=E(8>%>cfBIDO;gB_qh5EIe~~tQW7nBE;sdr#`pBh*`0t2JO8hS*s-Sv6t*G)88f%{ z3HK5G&>^fw1vZj|*52MEiTmjd13iq5DOuw;{CNKuHtaq0a189_x7AOhAEp36O<;Z@ z8TpXeeKFdG=<4$-{u!NI<%WE@jw?GY@2cO>{smw1tQNzN1t5zk7TtK=YiuGiO+as0 zo1lv%$fe4Rc?641;;YLgX^_0_YjneSsi*_8z%e4g@lf+9n1+LBOBW^sxpNq5im&iPV>LT1@K+Z@}h(cU@Kkn1dBW z{a&LR&PFFi(GetTopr!RDA+O6!lFX$`RGZ|M@zh#!`+dP7N)sYW+!VhnbeKa2T?cV zP+!FAMuTu=%(sGiJI}-QPjf232pk)q8?e^>`NXXHCr}`>P=60dwX=`3XKv!{$5GuvgUXn+K~Nhoc|`neJ?u+ z7BlTV?lG@_?UbaY20WYsjS`M}^3@*Ab{4 z3|b(nlbbT2wMKdlhf4YW{`<&`!@IYbt?iq!IJM0z0JnYle)bpn{=-1L{w6-j!wUIDO;6bHo_=rUHsPk^g} z&Ke-`)T}5_e#6oCC5*^G1Wi;%vCQv2dTt@)SiRZn$H|QI+!_Si9bUm`jD<~QzGd`7 zELQ=~_F~t9A)zr6V}m~D`;R~=P8>sglAT}R4kHrTT?j)w6#hZp%$Y^BNKVEvyGCu@ z9^F}Yflo}|^J3&WfF+RXEF1n2BY^@PT7mq6)X8q_n>&d#pBvuoG525d%oRbF3(uZh1%G1BdRG7OiN!nou=Q%_ou03F z{st9VP)das`CW)-K4WjmF8r)1EAt;zP1Dyct^sM()4|<7q0KV(jqEdbh|C^{vi`1s zpBhVXN0Hg!J`d3Bm@=_U(Ck=Mu*o!-i5})s(YcJoxT|^vvOj9&f+C*O`&Pjh`6YZg zI(?lWPWO6&oE)QazjbPqI2;;JeS(IMoBPPLdxZy6gq(VRzU6>K>$q>VA|1T+q9gId zP_Tlb#}N*TxJ-9=f~GMy5UWFoueZA)*s=7OW2uwHjZSdp8m~I?W-!yGKkxTV8+bo$ z%Y>okVAM)CX~+gZ|ARUvOw-*lYEpsj@S`$iof*m*zT+^WMX-kfFC;uV(>mXH^jHG` z@DP=W_$@D1C_JNr;c|JYxf$q!is)L;3O!7y{UlR(a@M@i2I)-8*+|zNH_qd7m|TBz z&+RRMj-TwD(pd||lBjuN%2-Lsi!mPGYPZWyTjztAFu$_l+iQ{?2JiX+Qr zwq&GVr;N;Z$upbKP2Sw^EZd(T##r-Sxsd8dCt4@Y+kGAtzKC;uV>Gj-_6N2{H;L-> zWHUm`gein#2tRK6vnzHuq2ZQCk*cg9o(C%=BlYKB6FJ0Do4fK?(x+e?TCu!wNSJPHA<`;-#t|K zsXYE<_ULg*Tn(pfPoHBVeH2IGp4Ez5TxCpF^dfa%sdl7i!JA2QGoZz6m^x|C!Gtw$ zFzG%~%`}A`R8=g@@SC4lGHq&dc*(8jRk-k)i{cae`wT7vTHyWUcun|oE0L%@RyBv8 zA`(2Pa$0E)33IBwc+IXu!*V&`3;@k8g!Od%{F_6Mh=&zrp1Ex>K;P6Ngrf3SHkmkm zPqmB(dzxaakSPa#j*+F3I^Qa6=kxJRz@s`kFsi3~3(A@=2XoAdyYJifh}uObjw_f@ z)g;GeI>kYhQM6Pmc&H}#Rug+=cmN^6Y^uie&i(yq=1sj2Y8yELI-y7DHJ0}-qHTVD zoZng<-nb@o!92evt**W%L%Zt=_xIuB7^C&grX1XS>dR^R^Jh-OBAXg}6A6l~YsLM3 ziE?EpjEZ&i{rgVu?f?x1s8YSZsI3WKT(P*XD&ej~R4U6(U&pzGZ$Jm=?g}-Ex-VVnyYmj~>6n zhigzLf^q|9Ic3UvNT&!JQe>DPvL21o;mos*!}E`UkOZUQv2y}(`apz<(+7*a?G0{= zeg`cE_Ry@P4TW_OeNs&YKxTXqTEK1%vkBezTSQeJy(vHP@>h{Gh7&Z5>gVyg9rQPv z>t6&+SUznP{sh{Rwx2-Dj-4;8OrZuLLEQWI@6EpHLdRK@X@K`WR%k^N@eVtE!oyb2 z42pZa1Aws#x02mjK+5vZ~-iHN_RS#o@Ox%CZ^tXTfYag*>;@(x=c~11vbd(ITg;b~f+!HB+ zaeh^Wq7R1|49enHCf7JvaU{;E6(VOG((`^@O-7`kD8aTuBp{6^Jn7)i1ODHd9o)o_ zl{jkqgeQrfC8nVTh7vVCVd~W>Kh$|t);ZB*8JR*)I|~(H5sso3*TeL=hyRC84wOEn z$`dP6NIR2Yadz^c6GB{|^t{dFSY5KlCst`M&wXKRS zGlVFhv$y)D_A}smP=xpk7%!-X#TAgg%Ps4d(*fK&tbsDCAXZ zU{wGt|FL?t21bltV~g+4yoAo(C=+Pucw?=tv^<_&NuZe#HBx`7d+N{3uUJk1ItFbZ zmNxY5!SCucN#GUx#_hcb63W>jN_NCL^*)g8eeh}Sc9wbY^n2fnY96v0=?C|YziPhg7lTj_y`xv}O+gic%Bp=_Aibo^h4H&Xl4I{yR8pne zy{|kn&cvG<6ZkPd(Dq`RI9q79tKtgE1iY$;KQgg+CELBjJKr8X5O6cTE*HRbfe1$t z;fa`0o$|$+O*K?Sfk*Pd8<5K8qAkj_k|d@X?G|<9 zmYy(;5N&gf{>Y_@{jQW($H&5(w6U_gswX4;-nYX=7YC@WGOCvZ1GMM1u)~%u8MnNk zW*4Q@6Nr; zTh_EeNTODozt_Wp?=IF=45ZtRu)=|{5)njQ@p5n`pR6A zO?!Kzn4V(B7B*%CIf4~OuT-aKfYP9uvZB1D+}a#cesViqmm6Nx{}TjT6DI^!rX^P_ z@?vg=J%o)6gR1TT$@Jl1+*OTh!pA(Pd$?J}V@&z8-Rir!QS!hitHgzu(UkntYkCZh z>_67e>v&=7Zrs5 zgc2uBFI)IGA|S69giKr!T|}L*sd)e@$03@1ZJyl6`h1t!rv;<4mtO+wW7iEa%uheI zprjls4_nll0GiK~i4`M}mPekbwjM0YzzUnJ2`B+kD5QvaNSsQE8twoI` zo$qtRTEEd_@+7E)MyU*sB(0TXmTYQgKD_o5v^hys;#j7se~@kqudJUJZ{nEBL--{p zhcqN;YDHov8FpDgsK*#dNm09pz%=u?!i8&akVwb46H}u3OEd&+3c2EW2i8Nwt&568 zdq!9**FgnH)2?E{h|JSrb(b!U3a=)Wjj5o3(1*1V=!1xvbYCe5o+CkYF!=%gH{KTb zLQnuB(UOQ9?tTVP=$sFR(e%95P?ZaoBN{q!jVH3#%!#IHrmt&_mVP>qo_v$bo>B#| zJ?@uL-0f==oU`2R%zoa?Nq*k|O*wM^ItTzTxfiVDH^qM4l+&Q*oB^S=B_6={ZdE?!1w<1YFE7cT_&w^AtxS6<@1y@WW)P zjH0x>p8+ZqwOq7qc>(1sdDh>qC|uIhL8nL(9zk)8WT3~r5G(?!4sb0fhn>4OA>Vxz zTuZp&2az83 zb^R~EON4UNhv{hF!$fa2Vb@4fon9$aql)O$(?}u(^>U^Rs%Lc|#_AWjfsHP}0Dv0` zr2G)Ny_LNm*0*38kkDTfihM}TzXk0DwsA^s{T%C!IJzmn-QZ_vRK7BQ?>9^X2@kU<;D*8`-1$A_AY|J_Z<2Hv7w1URsW zF~Q*lKwU_}ftoWc1t|3}ZYXX6e@NA*JB+Z=NIG^p^!#3oF>D3Bh)@JQLOPT}V}~DE zifKaivrJ8_f-3-eW!N4ik%ybx))uIi&5q$-R@8m0&T9ENrTyo_nJ^NKVm>yqP$IY+ z1**_)>WcRqK?717%5(9EFtLV)KI;k1LrVu}&t;28$^VLB&M6(*;!@@~5g4SdE$wUg ze$wEem;a;4UR3D(yb^I;a%)gHb!NexR#~aS%%CJ36y`YKF2g|_c6Xo=^61P1Yiqiq z7tFd}@jOurq|KZ8H9y3M06yjr@-w92SJ@f*r>Xfz-E*(P+1j(49vXdY;%REN%saiw z)JI`@q`{O4$gK^S2%EH%Tv4ls3=DC)M~msBD=Q3vW+@IQDL&ZY<+7x8M~H~(P@O%0 z zQ1fqkC^s?Zgrm^ILsE8Yoa>)eZvC1T-Jytn#fl$?(VRiY88$2+Dix+BcT0jzK=05e zvspPM*357oxOaS%6R_+;*x^icdA*w(v!^g5L1eUx(35KO!30V7lX|!7ol-DPV01_C zFXcgP2)rl*Ro`fp=+?-vUR(NDFR{*hc|!l7AYSv!pkQ6*C#CmyWqsbgztX$cY>o3N z((BXQMiq{u2rYIfvjlDg)RAbOrdJK^0DO|?IV9p@vsnlubpU$QUjFkSl0j%ZC=S8= zHunQl$x6HLV2s7mZVZIke0sJ_nPp#9FhL)?DKw*nwx#^=6-PSH>?24 z#*Ov35H>??tbu$*K zs`f@j20B-~Du?!Oq;J01A*-g|WuF&;C8?HiC>N&m{~}4SY;K`u4L*aKd~LR4lmpXb zv|Oc_&>8?CFn^lU07)RcHz+>gO++ok1n7H&!bG#JZE&5yR_H6R5BBoshxYL$xF3~; zf7bxZ-n{AlR*m2(`Jr^TZryd^hkqE`+T}`pBJF&ER&sW(=u=b%yzr8Bm!h7R*h17# zR@;{-kS|&}icJ*0<@qD~DDW$X^G+;aY2O@YSH4*Ljd#SN zHSP~@VH!L|+AgAT6E|Hb8_LxdY>U-t&yjv^9=UyThrQ(M_7r)aKZ{>qlJpt$on)ee zqVmoI6TdEvIeg?A=jX-yE4Bqb7`V|ian0`?=@U~&tu9FLK0JAN#PN8eN23M?eCu*} z^6|Ty74KEqcKliprSRhDP08H5MU5e^>&K#MH?RMoP-OzLgwE(GtD9 zy}gh7TX9lVva_=vp+L;K?H(?#{KmXR=-c^VSl*$Cwx_crA6bh!tXIX4#}^dmWn|!| z%8E}NF3%qtWe@=rVm|UHp&Y`o#!Pql9Ij&uv6B{AaTytY+`ST8b?2*(EZd>zU=(5M?wJ!Z{w+NzEB8`X~Fq^@sWZHB9%*VhBcC(=vj zHx7eM;#aw)>=*E>q@=Cwi;)~DFM|6b1;vr={YT{f{vly6NIsClcS%vM+leovK9XXd zgnR|r8G3CSqNaES_5jT^r^(4Bcf>@d-?yuo{uYDbbwuLoX^c zMZ2}-{``uu82!{I^O?~%BBccL>UVYjm!~W_Zbk{m(>4y>KYO1>_Aa-kWG`oexjEF* zL9;E)W+ipkUuU}0_*)IZTLwONAYK@e^RH(1w485uUK+IS8pMETbf=?(*7F&EyALHy z5$r%QIx?xlI1$Y&lO#wHS}xx=foQVhH5sF0a4d7xJ$|o?MU8)Hhlm&IXYSB(d}`KD zJ1r`W_dC7Y$IjVud(7T&W6YLwJLf(M9xB_|B~s85-H6>P^yn>&`|$M2)U5agc2k;5 z+}C-tBW|OMiMp=Ic)u$CsDwG-BJ{vXHh0$K#_kana*r1k&Grgt?R?_!*6G8N%j&s( zE5YInXOc?$t?$p7ev_o#^=_$kkLaL);;V|jNfN}h7cV8wz%1V5%LD0<+^L(x;g$cm=%#hb)onM`Y6n} zYqjX2ZR`7IV9HT!vua-wbkDW(@!7{?nHy8wk2XC3@3B$t+m?!NpPo#%G!sNS4OpW4TMYCHTP^}QJLjb1ZL-%^US zJI3(GBm{~O07(SV%1W)9E*}2MafpW4AE-X^x5Ar2JV#b18;Usj3A3?HVp(c@P|J|f#oHsF6Y00yXwzU5SHn`JbytRa~);^{_(+{ z&&~Vz6Bpz@d)DOQ8c>hy5X=t-!aN43rDy&!nlO~XV$J`HI_(m9{^A({-Bdl6)KoIy zKuUb{#7_4%3cO7w-{{rQa2qV61e{@CvlJCw;^Ypk(*VXP%f=?vFr?` z>N?_)M%rg17W=9G{a)6dFs{J!l!_rI+2u+5n(W20JCZQD5Mm=ZF^}1!4S_GI3QwKI ztWDiDjPV>D6u2AT^u3!6i7|B|9jdky#tJe)YoEJhpBh)O@l|$nQCWh;kyY{7FnK)s zC1`PFEt9A|1|g4xeKv4cjTejXc^gG$3Z5JWq$Dr`n`Zmk*E!(thF-03M0hDqiW=i7 zK^0;E)hz?@m!MH(hw6H}T9YgWhiLOmrr@a!OE|aGqr1)0G_$dk7q=qLFA5urenvAQ!_V>bmkECW(!6Ap9mX36h2F#C;%rBI&CC zKKRWbNp^vvZTrk>L;vxS1HLvqJ;nK(agK22N;v z2wD}*sJb*rEsP5Vz?!F&H)Dgs_F!fT>9SMQ06oxdZk#GdogU(?F$cVBn>2*;N81pR;*YtG=O>~96AVn07?o& zeo7KJqf|6+2ZrP1BzBFzqjvn3mOs#5J5YeTn9!cqw{L%&l|{?Ua3#${2tv?MW8c1; zd=FGGg5o^2A`=hnq#JoLdLU}pR24)&p~R(1nQQ?ZdYXW#@RKJv3Wx~SA|hJwl7^Q{ z$02auyk(1zcTHA0Pw2w;;lmW1DjS1Cr9P2lteH7jXoSuqHeeAnXvX$VYjC@hh^;W9 zh)H}roqTi-SDS>!wd9>rjm#MWhkuWG8C7M`_xRf6{2MWyM^-OA9%i z4?%2zp)!yDc;WuHjxw%__D1B_lHOQ<^LzkDYCP*`Y<__gsw!<#o?7CxXuT=|rc8J~ zo%mJ*JgwBnUyGfrcKbSQOmR{y;V!gwjVTVW$l6Rmg>AQB{22D^+$RUt#INhk4(H;XWFukPCDviE` z9fwHAylX+n;CL(sajRBHcETDa6}phN1baegS-ow-bYJhKC29pyNnm;qN(tz=bV(y3T+ZHd|GFyVNp#57riEqTlb z2M|-B80wlX#yIP3eFe9LX=!p*0OiG~kFPRb%wXkf=Ks;$vq{!j7^X`-+B4KP9*Sf zl}<74QE2I@P8qG;5?UlM23Ah04@pT$5{M!^l8F~tI+; z`yiO|d=mKH_UZcE#ilqN`ZS<%>V0ceYe7Z=KYP94sX>yzvxMH0-3gcWI5;e#wtowl z-hcI4lW{wq?rfA9rnWeRnwe^t>L$vPuiMC<*%18FMP>QMH{wTSvt`|+OQ>1*_CC+$ z^7e?Vn4+ZYm+BFGn=?1=iAS|OE^N_a>_1GBDxrnGV_NyPfbsAM;)^h&T~HWNE%W0w zw)wKR!*!HDV)G7s8EpxYnx^S@tL?P1vMQ^Zv4MBFG;K{(@!Z!pF#}^$1Wlw-odgv$ zxi*gHXbWcbTrB1YSSMGpFC|{-#tfsr?}?w1|9tcOcFjsQ}T0`{8891POZi0m_FJzwEg?bv%r<0rFkPad*4)Q5)U3&F_kH zt@5FRYloh{cu~E*-LPI$`upomzr+WrJI-}Si^s(Nk)hS@LG}YWJGaMdz5S-KaW4r6 zUp&LfJdd&QF|Eps9sKzf=+55MaK5Bxl4Dovnpa;wDdyVC;%q}>lX|+)>o*BPr;7*s z9u#x&9L~{sF$217cj{xOD&0pm19+b&MFNvTiWN$dNV@7SU!+l)k;8Zq<(L7^I@sF} znIK5v6;PmsWC$Wg%5?=Cc%c&&N6!*p17uUY63oS&<5 zWX1@zV+XMx|kxrXrrW^98>6zy#&BNnqPNri|^0V+*R`=DQ_ zUeC`9))WD7BQ%sJLg<3h5e%ZFWY5vcs=eb3mVeHfMr?gW*)y->;!-x#_gwehU~sLZ zBwA+Sm|(eL`5Mj4o;T-yEjvs&5>f?Jd@?;zpB{Uu{xk}LB6)fF#5PgMr9_iRp3!Md zFa%KL981!Zxwt3eKIQYkEscT4QUb%$v^M_8WKuzsOx?S7kTl=+i~M)|Cp3f!QRtZ7|0_0duBfO;Uzt+d z=}(zOgcvF81u4>@iDg2u{~-k|vfwh@a|RL685Uf(MRo6S#MEO-O!n`D=!kZ3?Lc-A+iQUf~=FaWWrZlTU!w(WPSw0!%=ZUz>j~YV!te~oEd~M zqE^}ICIfToVp>8zjH{i$$=Y#94}i}V)#&Jhg0lBDHAoyXD=UA&fqf3>YT_U>(tx$i za_cCvKv_yCcJuBV>eRrspOe`NyHCli(KThHqf7!gN`8hMWGd}TTX7eo-ndGsnwt}N zLhzNTYs-(sq@#zWYfJh#HV^%woy! ziQa*!9G~BrcwC$^X5%oIEsKW-NT6Z|L(k^G^Vjj97uV5&xtx0L92f3#6g&apU+UrK^Y=UxQ3H2SC{2OJ9| z3h?Ja-j1z^!+{(Afc6rwCI;bXP)totSSVnf?`Th+$$qynN_m-Uc(mC=iibxo_N!lr z;?&f3^hjc&3awGT=Ea#AfHTR&o@&;Zcr6InR#nbn3Aqv{;1qOd+_%m7>gwvvCMKn= zl+qAAgLH}X!5xCe_P%`j8un~t^63%wBZ9ueF_&6%IJ(OTBH+QqBBVxr=Lo+|rfvtA zfWIT!rNc30iv8Gnh~r6+yLt0wZ#-H^T_VTV^<~`a3n}Ba>6!eH43uwGFD8NFs4_GP ztwPXqJIa>rUDTt6@$+nC)3m9!L4oBk8bwQs!1`Wlk=*`>YHa*FXfa&8TMV|WGm+xv)_58JE~ER5@f(2d z!d?&#=;hJrRmJ=OA}EHm(0y>H6^Qj^{F?>4B_;K8+R$go7St3TxQe2*?1m&TRcuPW zEUPyDK*L7s9te?|8l+TyU>yYu_N_&ho%C(@rBrZ#REj4*XHNQy7cUO&K!R*Cxpa3- zC1^AA$XLi2fghs1j@ed8Nf>MDR4tji43wTnt&oP7OJ)zP%K4S#tE-qF)ViFBCoOWI z9-u=vM5ZLyjIY2qTYw|bbkYqy^~4#V$S>~hT4bTuMl>2tz@nl}JP_^7ZJirw7fkqT| z)wC!G(^HVbdGz{;Y!guqJ=%)QR*-z(95}x`H$?L|+!4kj#ysdIcQKoUeUZd}=IIz#mnNRDDMb*AtXM)+q3!dJHzItl-K{4niLlh|C){UhAPX-> z|EA793r;_R@*x{&Nx^1Q)nAz9H2oJnF4({b4&Z$Q2nKXvm)`A8ibb2+IDQ;3ckZydHQnmg$d;{%X?55@AyT^4{EdecUxP z8)gd)b%ktj&W4`vkgTFGuk%Bi1O#uIk!T}I3J2JHgnqE0@9Vb$=|b`jN9^*H(Y2cm(0a>6|SBd=t1EjD4Vi{q;t%E8*5o!Dmg$2+qz+tdG{-gA}~f7KoU&bn@h2wVQE9k1Dk<;HU|&QY&#Q=KmWP7 zcP2|jT_y4dxf7|}P-EFMYc|@~`o{R+5sMiuDvv@32%xH!J&4a(XQ~TN?Cnj#N(XO9 z5tL(3b&^Uv!Yzv_rEb^w@!((}~oNwi~d;XIHGJu=!6&i>Pm z0Yrf&mv$FBR6mYX>p|}9)1T&`V4AFcskzXWE2~vcA4MPG!aMMbiyU+p8C zt6Ld2;2`s<22LC$}GYL|*#I0j!8g&3dNVv%&t zFAM+GO#8zTzcr{JI!SYj)X*UEV|^~`T2MciH5wKfr&l?Ot|4F-AgToTP&iM_am|Yz zasIc@rgl<-&zHXJ{I_iEG%vxzgBS8$NV_w30!KyfPp3(J^O|pqOgFjfnKkkaAV1Wp zNb2sf)WJahhbIr<7^;$Sr)DmlR3lD)&a)9Qp!#?1Xmx>UhS^L*I4DeH0hOVuEpI7~uWHbw1S14-+j81!J zjp{AG^fNZDMq!NF>WLL`$sz$S)1y;@${~e9lr-74R0ek2Vthwa0#e%1Y~dqIVSn&5 zg#9S#ME3g7&Tu3%J>Lf2-;KZ($vrwbG!FB^Kw^U(QYUSGShD8T#q=mF4?tPSxN$Y8 z5g`F4yXP|*Glm()!CvywZl!ams9aWu(6){U!O8N!W{aL_lPsopQpPN;t$_)=Y11Yc zyKiz;H-zmV?0H6=!Ip*Nj;DjfpbGNj1&^_(I=U-L0#l@Ip?1d@yt-Hr<$#T{K|q^y zi>j-4RH%-a85n$wW){-BqjMYjiBV>NJZk&(y*twLQd^^&q`^Z|wo?^OfFHNaoneLn zQb`ZfT8x(CNr#%340?@J0D}%n^%vw<0RaK?H&}1X`rR9-N|MA6@zKu`qVw>~u+2tS zImfr+v!G$w*}te4g1nnozJXb&2fTlBtNd6cBWqX;&~F_JTYC}CGfCzKZ7hHy`&;>S z_R~weZR63%4EelX(ld-MdQzf1$vG=-$Cc6>0R>x=A=wk;MHxP%0vS_5{idpfGJzG9 zOaS)}EA|k{%4SBs60YcV@8UgL)w|0f0r0ChHgDnCn$K8cjaDTyHMFm8#YcnYf)go2|9iO*1^rULX7@C$p|FVTaa10I zn+4{AB9@^;vVe8LP@7v?*5&DWeVHNw7oyCQO6SShfbjAXV#`a~b_6}blt=9)pd~zQ zz4jnlXgZI2dtFU?90ygobI&>atM6pl$ddr-9u%|}(v}RE^DdD%4RLOXiLUP&TlHVM zK)Zn@gn2UL8Y*AQv>X!PD<2T~EO(pwEc|HwRw>7d)SBKtEzP{su= zNEpo81&&*$)VQE z_0M)Q==^bhnTIx@#g1$%Bz%;~0WSn!Sjr#KLB&{F-L;{Iiepi#mM1hwK_5^#VZKNA zDuiIvwe|!`J-*Bkzy`_A;CRgI4Yp4*nzJVs_z5gJR4vJwsN*F>1-=*IOl^acjo4)z zdNVwMP{bC#uoU~M)hKTU;J-u6!7}FMFsQBI769{ZM=AjsjU6|x3VowsUu?JE@ADTg z10ZQ<=rsFNf3){LpgtfHbmfIXSpMoj2l8 z-{vHylcR#F@Uzd*2LER?r$NO*7PyJmtUmr#8e|`DE=sKUMx{hQIcBs?Yrun%lsta? zII*d)r*3D(?BmG;;OjkYRdakAuy>2Miu*x?2hqmZ!?OOX8U{#PYFd3@rL(G2&QV0h zs99+0&#hl91{C>xxC5)9NVwa1>CguiI@wm7YtUKfkn^%0EYoIuE2YF`-LGORsWSY( z(^A%BvmnsMdP7ajY`}#*v#zU~6ERi4$AcYB%)NpE&dN8ii=mztA8?5t8fBn?X4{B1 z#!GRb0dD1)Pu8~6_@5g7mO_~ug(#z~$a9Doc6v{&{K~@TTn>9IM^PCLu>~yBk z=a2U$8OiT~AOtJ2lJ?C7-fLoHd7|!?(dp&C zf9GGwC9O{VR~M_J;&V4@*LStBpW+xfO#iIJ3k`|@^+14XX`kSB1#;2g1vZ7cVlvnmXGYfR&Nh7n))cAW^ndi%ODaxg6(@^_ zAXd$U3`IA-b??>vz=V8(`gq&d1Oh`fTRhNSWtnikz<$~wMH3Y6?)$D<%`vw(I*UdyH9$G2TqQYM*-iuWu#dp0{KZZr!wc}7fK z?4|U+!PI4rd!=5=d`3u%^DKVy}DnpcZ5VnCZZ>F2c*fL&=Z7shx=vE z<7-pTbbriJs3L|9Jx?+rO|I;9;t$8T+uZAmom1B{UHEAl|9v0{zNopkPCSwRFNjD# z#itGl8aNph)P7=5O2?iraD`hz&{)@BkIdi+N_i{)lg1hawX{{dw>OcmgaiK_9wE)f zDcP=5-joEA7XM4H_jwicySmM+%ovE-U-e7jhgtoS+3(Z-fkDX`!Oo`CG4}(u_`1ZF z`PkPKt*+K^kD3In)3d{6pgcc>eq}2JfqR zIvx)feU^HKJj#dXE!0ql+P1vy6BD6w+9I4?I~Ip%CZLiCawy2CfzLxCpj+9hHfXh%h=WjQU zv?z+@@HnaG9ij%s$;{19$;?_5&aGQVbm{*48c)NJ`JSBjzu_d)8)!QdSZ%PTfE+5J zjhVV<24-B5y*q^Hc!jONVQE8_jn@^9yhacFxv;y=Jv(ob_7tfL;zZ|dJygbY+JR2I zl|Auac>DD?nuH%492nP@O(yQ zTeIQ{KQy82cJ31Hdgk48Yz+aLi%)?saVDDX31R|CN$|a8g~F1_J?QKb9%b@)exCt6 zznpr3>xRx_liSmMOygi4F^yNWBAll*u(%34XLTV)=HJ8KPz~qdf!+MHN4Dcm72SXu z;_`H9&_1bVSFK3mSfu~ezAKtAbyj|U)l$ZfaUCyrT;aH6Mvgy_!Ec_YJNUw zQZ#BjnD$361fHZczNy#JpHiL((2E&>wrHzk5 zNE&f%TokJsVj$fwWz_5X^s+~X-}x*zWs3gg2uO@Hz<)!5C~gdXf`qtP!%sLX!yh8*Hzd0PfTOfp88u2REYa*(C%a%{6gE} zIb!+gX+W}omLLVBtgSp5NrD{Et@=N90RF&V5oS_$*K@S0>gu?#Lrky$>22zg|)NR|Q5EK4<*YR%1T;oC?TUFPFaamiGT7Z8LT>)lluBUL?==c`-Hi) zQpnnHY+gxC^#7ja&db*`(Glr$^*q}2zASCI8IDiWi%MH;miM_lpXw^+ubwh=Xr}vD zcVP-@gvBLo2KScu82ppG%4`;!IK!#EbjA+bmoKJD{fEovoHu4N11Xr)@Eq17(#fUn zi&rrHXFL2F{fk#WhT`84E?uoPK;R~R5mJz$+nVgEN(sp)Chfdsd*_pmyd5<3bM9;W z3Zs!P9__{NzyAmSZo-17X1`F#hr*g=XXpK1bainDEEC0!zV9qDKI@bdK@b{Tp%5g3 z+Z_R(iPWFbs10JMD248}BE0v$tS_GhvXyYS3#Z=20L?!{k3 zk)Js}ar{$0!nt?5OYM9FtytwUOZIR)Z-@gTo1OnKH9db|7(U|a!`x#}w%wfxEw`7>Hp37=);?dxA3<)eYxN>N+q#{`?f8~nEL8)iRN03y5x)9dwTwJE> zRv2GhjH|~7Q}#UBQDx0JKOZsDW6w1uF;;X8yi~NX9=HFN@QMj6&7v4iwCV%e0YN&; z)Qao6q89T@ZXFrMdM3j_eDlQ;Wc6z}?Bai4fJr4@(&ZRI68zh%_7x2fiH)!Zp$g~x zQnIQCT;p4vdfz8$AIlAKn`i$sQ5^`g$NY&$lR8YQL+Q}h%4vga?h#?o9uw)d@5M^b z(dYiBVcl7d;F9X1EHbZZkG4_L;8>icV4CWYs54xMy;Auj@j^FthBZ=LbW~~QdhW2e z@iLy#BwJhe-gtiz2Z07BXEJvfC-uV@JTiuW%~3^l9^G7|U(^as_MAdO>)7ec49U8E zSp(&UAo-<^-swAgKe6Wd{@l)|?0aP50Bl*6k&$Za<18=A_2{yg8tAs8c2SoGphGfO z8Mvx{8*z;|k4J0fqq{I*Ro~QPm&^Wjnw%N>xFMecnBxJYC=QYfosi}CF|1p=>-f#i z?vpzLpNv|p4NH<5G4J=9$Q>shfWYJA?;f)xF*9v|%?rG<`2C6fw}TcA;o%J%ML(}W z<(Cm0dS*{7FjL(#f|`Do?~;)inyRn1Zh$ku`oER-{qCH*)JSm_EGFU)#ic{Cz}bvH zp2imXn&lXHVlPxNcdHZ!*!FXUpVC&I(ahnxXr?>6g{dYS&v6@{9$lijVv?u){IOnC zPeZzir z|KJu*=)(2^=zh&)CqHY6*mgxq+X~>p z&(KGj^fJ~M@xn#^a!vf^*&Y{O=vl!uaZ?Y#=PbEh4;z! zub|n6WNY#p-FfeuO4suof3SHG<`gu)K#AI-{H1)6VUIdA3iqCF4>=NLCf!fPo4O#Y ze!hKLsX%xRb=_GhJ>05ji!_n6qq0`&lX+v6-+!-;v?mI+tVJr{O+Ng&+GFiaS>%1t zWP_yoBV_BMr!-kOsWwsfMr`Fb^Vw1tDK675V*=&YAph^V{>| zIOl%@$2p_qw^K@s22bAsl|AV}C4r+uCO1inRfOVtIi3|e>Tb2K$?;A>nXP+A=B-if zrMe{{9>Of`iBB45FFUJrLU!Qhd7Rq$V~287RE@TrwOSu`V6V#W7jwf~?7n(@nxQG! zI!X16gh5psub(}}UT)j?YM;(EBfiG9+1IpoK6CN-m*`#D-VqxNAJzWaDL=mb_W{5R zWQU~wuwC9NdpIZP#*LfHm1pIvEs`#HR+H~+H(+}@5N)u`vBA^yO*6AmV5yp1cIabV zz2@*81339VtWc_)s#_Rx){?D$_Em=c?G)Sqmr<%}o^0C0w`$dYNU z5d|UJtmjI#pU?3*81@9WkTz12d&N_o<*&a(V3>z8fhWv zpa~q!QyaUy9YqQr>d8HIHr1|3t#kAz4jbX}xNw z;x+z)<)NM3J|Eq-#vhy_+)yWy7WMeJ?#iFUMesf>_T4+F;}cs))!#U=Vbuj>HQ@zU zGmeJNueZ%Q!t-!$+`}DSCR#Apy~U`vOvn{+Pu<<|dR__FqsBk3N7S9)nOi124i_Fj z-~OV?Yl)TzhiA2g+mj7}d+aNJ;%D83VL$KJblkbJ>bxTgbPOZ=q_}Em?33ctT9XU9(iH_gRt9q>W;1&< z(7qU*RoKtEvxqBz_J64Ea?#EUb!7%hf{T^`>B5pa`$}u!d+XmeHg3z#(zo@E%2idH z6cpZQN54JQs+rjnbPgzOk- z6zZY$tj#(sQ21;?)^1VAy@U^$6*o?#pKwzBA!kj8s$Tfv)-!I*Z$&lIJ4`p`KELbh zl>3AoV@PD%|nKs zYKi)wZn0SRM+b;?K_46|WR?TR%$WukI82ZOJ-Qm-7Giv)tZu8b)`>k8mIR?0I zzxsLT5RZ~bC$Q+~E4clB&hvvY#y9CYP$*lPo78;2j^EILC(7@hjDps}hC#9^ga{SB zQJp{`5ilNM2#>m|qF0*(1kxkd2iPr`KFMs?m9-K6S=DMJj}xLzTM`OCES#L2md-IZ zM){(lj=gV>x$7CXMb~%OcB7WY5m8k*+7d!5t%e{d7;-p6v}%A3@R+wDwr9tNEFBw6 zHui+MyDvheH1_Rl09(gX<)cqgFu*1p5J#{e>Cnfh;u-DMqtK#I4ZFef1kuF`?Y3bX z0y4%mo~_=qJtXTRM&jbTm~Vn}Ag1B*SL@hA0B3==7tx7{Z_)WF*i|c~#==B9D72*r z#qGGO19E?^ySb6yJIdJ9lm{(^;mwWeQPMTL>>W(AMs}k?TMn@8pWAC9Kq$TMB^o|4xXU}&y0U{$=Z!Qmxa%k zICu>eJl>u1GBa?x(InH`n*t(FInB)~bZWCcT{ugF|BI)49@qWwnHXO;s58G>hXyhka#F*As86?R2D7>DXRrpxrTy=v+xAK!c-?^LF*+uiN6!}$3 zpIGHs;GgzuaY>5*DC2plsuPmX$~#Y}S2Fm$^oi2$?(W5f#aJQ1-iJ3y?f1>#xpFe2 zP?rEj-yf@0_Lng`JQ7Qf%F=;151%^`l?zReVK_`J9+O*Bf=dddp}Z@F(Z$N`tqc{SzJPP0<*(LFs%RABXw0_}y?UM!KOV3DC zoxp{S0c(UY#zY^)XGJiixxK%|z3xEG%!x1@fOXwGgsOT~KxVszZlfiWcuM9k(RUzi zUJ1#NXuD5ngZS#ZSASJCUpx~~iw)5&B|0F~lYQ$<79;NgV(m1C8S4ZnN~pApzwEWQ zpl3NVCERf{v>}n3m$qb4)46Vy#$0|z=l1^g?3=0z4D*$>MXmfLtc(^`wXL;za8gfm zf*TKoH>47ZSYOOPP_s(|J3aH-ZnX@l=-IV@aIK92Zd9(L^hek8%@Pr`o88ToHs{5& zAz#xE+tI0h-B9di+leSbGjd0ab$yM+CQ$mAJfND?KIW8{9KI^(ct!(UwCesAnc8JR z-i@%l(j7G}=B`n$C$c5Bx2yRH4Z4kwwAlD&gsQ(;_=||U?J$0?y1ik5$$E5v8M!t% zw1qZRl#}b&8n{inq_sSL8(rRr1YT`3e=fIKLMdyz;xMtJsAG5wcZCi|kIuUZW!veh zumTI`Z!H9sxdQhHzcit%wa=!FFbYPmZnf6tUXI)#B|*j@ zdh5_(mi#K|l_rjL9fy;JInO)o4}ZWEgWFTMDb@Dp@++0`+a5BPGc-(KvX|-mq7n3) zc%05)htqxg(%Gi0Z3hhai75w9ou@^fPs$0VQm%+^_<^~oap?JdLboclnj>-gi>p!% z@lVXD+GP~CahnG0Ze8i%yFEi9Q3D6TJh%wzmpVI;yB z$(CN1dZM_UlahJKP@u|nnC>r8RZ|6@f3zg)k0xP7eq`v}>1Ho=i!7pz$A)h@J{n*|k5u=G{zOU~Q>QluJh!EG2B;RO^rXeGPq4 zPUE@m4-|5uQ!SdY#JrQ){s4+fqNkvBL|l@AC_)2TKMDrXD{1l3b$e1I9&@C$3m+F% zs42YJa((;H{CPu5uAGo~q3MPFOx2FR5noe0HeiKpC*S-sb!q5R)b;Mfl?#Ik%hA?mT1?6 zqvGuJG}w6Ee<`Z!9d4-6IKZ#7$Y@;?6k35G4#HmZo^HHBT?a7QSPf|0Y!2lVcDLla zS|8w^(3+L=yyfe>Z3983O)nWN^>}8_-i=vu3GfA|jl=b#y!rLqwkXDbP2uKdVq`B{ z##;=FT=RsCYWT7k~EhDSO&KCT5LYj$}g zq|6nR{`SJn9%akLuZx#@zX~?vl9<6Zv&bLInFn&qTRaHH~ zX!xzpDQTAe1rooyDLnTh#p~O*w1ca3xAdhO9V-Pv?l;9{p&^A#c-ie1P>OCKh%CvC zKDqd4;rvX;wS`WJ^2ZBjjR@~iLXXa-E)QBmWtR@Tj1J^S_h_i<&4`@%xMSiY#4Tv< zi=Jkg*t%CDaXfadO2^JV3R|pWj1>f<>@e*(lYF=FkEAu%q)J139`L06GVA@r@}XqE zZ0Y=N=wZ0Ti`}Y%<)^pjdM!!N-u0M9Ecc$3Y>8VAfS-))NEB4SuAuk zwuS};4X{(ce~s1jFN|5E$;a({iO4kcs8Vrkc%Ud=(&6ZCg&tup`cG--diSFEe$bqs zV|!eA?z%h4ue;sDPQ|C@cwOkTOa?jAB2N{~K3?e5c(!2AcOAw^Y_Lmlb62v;C=6lu z)_X~^Sf0!C?>hSHr>uxm*Q+9!<8V%DgjLHLq2gjh3#X4L^nwY1p}ddX2};cEVtuYj|vMfmVbEcWa479d*@# z-o~+(OV;{*dSU#au21uD{&Y97Z~uSny?0cU=lVAKqEQkh5UeNy3PuteHbiNo(TD}X zM1u-a6cuTM2n;Zk!A&9<1yr`6AjO~%#i2-(GJv9@;!vdy11d@zhT;H2=UmTVvdj6M z^?l!3=dZKQthJLJg?HZfd7tMl*L~gBt@7ei#w;3{_<)*rM0{~h{c&;E8A+HO(_Jh0 zE|>Lut3hbmX#6}F^#L;B{pnk+JFcv?vbpDiTwHbGqvE^yw5f((4$ppG$*#xFmnD&2 zd=dKQ5zML46dbTI__jBvV&_~$&39+WrFr$j!WOh;kV8G{fK(B}t<|+Lqz}$Rzns;V z!KbxJvLCWXL$6=|ocxrX8aMqde9hXmgBg}$LB#Tx`)G1_qjgRT911LCWTN6i(_kkb zwA_lT5V*$=U6P&Eh(BAlEx@|7>3Cz$Z#%>RhYH+R6#e-*9xXtyfFi!o-h>NMw&h5{ z)NAkbT^CXEaU^S)sYh0>de6&Kf6kC%V?lV%R;k#zootNhQA$*o(f&DBK5!jeTp z=T}=M_8vn*O0uwB7vfxPs`HVjYH$!T8@OM;z^4_}7-~^`IXlK7$(zWGV&sw&%e{d~3dTsf1rM4wO7Gl96 zwu!WM5{!}8#I3kch-xl52)=*rWx>G6?NPMi2L@W}l}PV8HRbl1(2#nB9%yhxQ@ zD5dxRGWF{;+~o2vWW?A38zoKrEH&A`)oln+r{;V z6;W@CY{SdiPx+TqBVp5E^$yNDmU%yJ$zj z5EE7y8!X%cp;K}GdOfr$Ng7=xG!5|Qt*=j~)IT0esOm7xkq3PZK{e4#N6JUYIZ&SC ziJ0hh#xC1Yf+~XT>c(&MeGJJ}k}7m+5u4ev)*rra_eXgcVm&2#@i z$Bi|&-3Wa>O?is|mK|xqNkcY^`7%9&2D);+7~X@sK<_2yLz!=^lzOqG4BN)&b@$Ep z#hj8ngob$Ab*luice}ApR<}T1!&f2r_6cZ{C&?wklT>BTK}^~L&e1tOiY#t=IQrHM zad&E}OqLv^De|-Qw6to)&IIAl&RztMB_0zmv`L#@D5>Mm744w)?@;?5P-YXq&p=Pm zc?Wd2iwolY+Y_FRsvg~8N%et6~eCIP26K`BO zr|g2X-)eI95^8u(1&)58ZxmiMLw9aq%WrMwm~vEC41%wo8yXy~!!^Ix&>tP!vhU^e z!Yw$Yeg_kwodkK7srLKQ8{OQ-qStRrp}{tzH#a;OQFX$(Mg9DqNpv+wTJ58V#2v^E zm~zR*QbYF7E!>HP3DE~WBDb|x!E8iyDGp3v3<*=Hy(Xt@dx*z`rky6Pc9!1jv|N|$ z#sejV23_W_I5@e9)r;@vh4#Pq$oB$I%8;;(UZg{%r2Q=!yQDNy1g0vb@U;6bq*BOh zx4s^Vo2xh@Qyqo_s3-h>!KEG7-LEmE+wo@SI($Wq`AIH8vhfinWNJHQ2XKUdL|})0 z1}aFmHU_io4k3&YCP^@F4=t`gP&gKz@TzageD@WJHofpF(a{TV_Cq>mvU5` zD^U-pw!H3s+`k1C0vvHK+xkaE{}=@r0P19NCZfvch{Okd)=0(}VXtNP2w<@ZxHrD; z+x=C<&X916G!rUtKodcZ&SBxLf=-F{ePi#FV*cN9kAkKSeSM|QupQ?^w%T3HMk$1xF_ggwWO8~LHq?&k zz^RxY)%VOn?FM@uN=~PJ$ymz5qXi~S0nrS2cxf@NQ z>I<60tI#WqE=t%H1Y{_a{MtsHM3zY12m}gL?~vbbg9cq#c!Cp*4m%gS-P*=1w+7ng zR6hU+0K&8Z-B=Z-%F0{)bNsOSOB~UMM5b<_K~dlJavh!<2`QfY`5aJS?;RHH*y0TU_KF3FWN zWL+C z=b1o4@q8X1>>Q|dd%#{>icr17r|#?<(KF+;Zm-K8zF8BOO2pXv(1J_71vXjX_hHNT zpm2m~i}ER=dUzqg;p0SRs;Q#) zRP&Q|Fm~u*Seiz7iFLLoOgIT+HXtLSSMFEHMP)895buI`yv0G1E*-z3%c}i+pO*ed z&(D)X=cI#L;h~k*_iPS0aRyABc&lBhhlGxMvH=^rr?lS|Sm&Vk*$vz>U);!znLv(k zq7R(HVQE_3Pk{J8j%w@yuHoV0=H}MU2zdg^g45{4_$V=Pc|fHb*Rro6q z2m~|aB|uYIHJT<}8bIV&>NS6-e8h%b&JCP@dO^3gaX&BGUv^s<2?Z~#>srdfAw$!l z(;kvV=FXjL*zn@JIyZ1rW4%qPfo z!UlN^^&an;M709qgYsoX!>d=bu?&SJ$W zAy~K6x?fvlKOs;f1T;%amTmlY{g|HL+F@r8s@UOfdZ!ny{jJHzwf6n{_uoah{0V7d z+zA8-E!vJd)}te4>VX)GTUSc2t_O; zV{*Sd?^gT}qLbh3b8vXORsuxb4PW1oe(SJxN|N;pYF$*0dolVxiB2-2?`}^HaMRQy zU2ClM5#aO}ZUMwSH6}H~)Uj--HvrNmlzR~IL3i(bF_}h<02GI5y3IvgomAiPACDkt zpi$QZBy*!nETAPg2y8JuM-+-leC$(z-c}sfjJ6^K$4H#MMHqOy2PuVL-%&{M0Y0wQDBH+mb>E&Ja)bpCMr zY?saN?w_;Bhowbp&jZAUHb&aQCj~>RbMT{ZB3;}$b?EWcjd_NpT8K=Obp8c;4A*x` zfCz2Z`0e5y*TKcn~vlI5k#8_A*CR6(%a3${E2U!H39GAfgVp00(UwSxqeNCy8mZX#r zN%4sYFoLAnB)tGT9KR@ToX*IA-;6DnHS4JRFPYs( zoZ($b`~ShL)t(XYoZ>KKQo`J_?&65AwO9E{#57C^5y;&E1x5Jf*9)c>_I-{nq1~nW zA9Q0J{Hf3XR>~>)(f^}CIsgA<|91p(|E)vi|811u|0}QT-zHKu(SH78;>yoGw|6Ng z@_0g%^}%`@2cLYmSL&K)XlB->BM%&9zL87x@*BvHKKAFV-c4_xUAi$~Csx&4nES)} z?7;Iksb75L6(gxNSM};IDM`-`+rap=c=nxVKU}%USCl)#kA9rae7>Z^;nE)ymwJB7 zeD#L)@cxUDqB7}ka&||FZmEPAX$rPBi*)5A^1-pQ5qTOK84c#3j~bu$Kv*p1Nnj+W zPoF+vXSZ_Ku3ab2o!bzfkbv9|V<|anok}V<3GKK==PVTT{aqcq4?(F?ll(m(RP%$W zM;u0n!0?xiiSc5st_$9tzZp`DhQ`M396tOy(wg`V>9jL|PKnM53ffG|bRp`QgJ!#H$wJIp5lp-s;$EU{_ZKBA zLce_)5*tKPhj&b%dk)pMH*XFRSVdJ8XekWp7Oz1Eq=Nv65LR2CJNJ+s@cO)dmK4<$ zfqXz-UJ>klMK}nbP6o`Kn(F2aH(x);0Lbq7kM<*?Rg|w7sY*JoqahQrJ!i9fT+O-c zv2rh89oED8u8o3elvVHWSmUVmV}{J9jO>(@l&ddKn);L)uBf`s2oDR}d~JFC?rSH( zN7T)_uzXLy=kYIL4Xx1bQA*$Wbl2K&UgaRS6cuQnQ7La1gS&jnN1<$X(QzyZ|9%Gk zi%w7C#>h~9+uw;?dO~LK*6*%u1;t(q?ZlfgkYO{PaaDTLSc0My(cK`6>R~`_O|v-dHKwNPQY=B^$wZr@kqJl z4qD#QBULYuU!XZzXT|=i8@Fyj3k@FEkv)kaf7VQN|a! zc;ZNkl0U<-6pHc2zMn#eUfbx;t#{ar$YBQwS25o#^d%;G?&TE&SAf)oL`Z4*%SSouB#yvKsH2f4HxT7?Hn3wlq35w-aai-YUIU>-Pm(jFuUBK(_a?wrRVxhY-}Lg zr4Ge6?9FS-Z3P`wt)Us*ifE1rZVFGSL_4MHfLBA_@zUy9Xcbs|r|eGdQNhxvg@X%f zTU!uc?%Y`%_uS_6X;sw=t$BqO5H9vp!cjpxLtx+*x6VUmj)wd9XIN+zg(%ZaYHO zfgFCq5v^pkJjm}m?~fvi^WV+W_EmNN>)dX?KOfBpn|8ZnQ)6680rI_Keqs&!EdFO*=f z`5#(EQAM^_^h3K(v;AEy>dcNs8YAo6srzMRTU#5C-bMyQ1qP^Wpk@;3U`BbX(av1s zLH!&{7xQ?2SXrA2^XKfjMXnYKYhm4Fe`dp&C2Sut%!$m9t@J$ZI-k-YK$y6y0nCzYA&te8wDuc`_;Inqm%J>=WheSyW8o`j?o zL2971%CEemUVnly1LKHOkySHx+a<*4c=gMicagP54Z?e=I4;DX5oy$R-3fkrb!!)xoPUThR=sTjOzTgtkR}&1>9NOWU6sdK3Gp#1)$zI z^-wLvFi~X^I^YFb)d?ovaMdS5xc(dX+lG2GPmt!R8$c9F9Y%k%%N@^?R~m=Gja`(J=AcH zQIj(Y|Eg<_ly;$?SNhyk{`db-=6IIBtV+;z0OQA?fdf&M;PlbuNRG(VU4-}M_AUyg z`*H#GU}B;xN7T$^#c&+3PQHI;z@zBLI0enb(z*j~+e)e!L|N|TNkrhqA3oesw4k=} z`aMSv)4W&k@ADtHT`Ap{)gc*y$A$CLbpxKZLB{xr2pfUlof2PpyNk(?++sYqU(&}a|M zyHNR`Mn|%=HF+r0kYdUi!HQ~n$1~6Rq)q!(a<3j(8y-`a9f7wC$=K&NH`mRwW_k^VOi>}ZNI0E)^{YPBYFId-}Tf6K7O=W2Q`Wlr%$gay|q8$RNV)H=I~jGl<-jDpu!d~z zx;W!Xt%M5xeI{q3JfM*8F^7guHP25cEnN*G;Ha<4<&F1mq#s6O92qnZH=EluxHKkQ zxVLH(?!!!LPUbnbW=wueM1-Bt9cvQZXjr$8e0|PlucP)6@n|zh{}^EZu-*ZV4yYWV zoxzao@|B{@{wU)qjpXH;!I*~|b%+=-IFL867!pSO#Kn?1WWYPvQ`Um`=|zth!$Ndb z$T{&ii+bCu#_+F-Bww$+8O@#bzejcV<5iOu8%Do^&h2Jxe@vFWt@ssQpjr19PRe(A z-l_!)M}*@QP6H0V6qrYreR^Puf+NB)$5HWqgm@gfK3k6J)y49WpLv$z?W_F3+VMAi zC-H!po>{e1?ddFs{Ct(_B|-Vw1+!)3aM~zdW46LSGu~n|0u~0c*&a!QFrp8QUl}Jj zB)o%@USoP{oUT`(oUC@-5XyMjN`qU~;Oes$h1B=O*H1>J!Sq zkk)HzR;LAQ^NT_Tqi`Tf|Kj8s#azyUB~kVFScwQ$KaWLIvSlRDT@`1`sWvVT6%hXCjZPP-6%OqH&kDvU&F`ZLN$O0 z;>^RAdsIF^oJWSFMGsjWPCc@zWwFdx!~%Bq+m0ECo7ov}2d{0PeVYhTR-7SXBEiZw z<)tNzyS5|cbBht+I!?ZhbQ%)=)=|N9lz51Y4#YBYKI82@%P2oC3|upb2`>&KMU6$^LU?rQ0Mr8(tSE` z7T?YDMtQA)E~pS^EBfja%Lvgb}si@~!ZyJ(1DpD1^_ z54}SJc!{C0u@59>bO_h)u~KZcPn*k?`Zh}Un}^wKL;=hzXixCi^2JPmW>%D*_I&Ngzjy|5gmZrz6S?KNjgIyyR%(yLtIo{{2(=#BG(6ZFh;w;oaXC*Bke zSU`UF$-QIT9+3rq_g@AU@g=MyY;5-0#<x@oV!`YS;m6!1?xjJYEgSoG(;H+*bHUi z3pczfq#UqoX9Q(&Rrxf>TyAY$?5%KyuIa(t9yZth)sMO!)a}EAuSPXbq#!+eFi;VB zQaGWgn-dfHB~=*OE@CuW^oVwK(MjM+3|Jd(Ccm|;irqXvlI3(XM`mWYJdR9j#l3c; z7<~?VJS%6xvD70(Z5*C}&j>2JhMDRdW`>jgw(kBfUmRO2E`Pyg=;m0e8+(W^9oN%{ zOcoevTSTfDA_p>OsnDw}yb5;7)MR9vW%#ykjPYz2FcLDn`j7C&$7fJoU&FrNEgP+6 zNJ4Yo?Xujoe$Rj%qV2zJ+Rx3KIUN;;bymtzzteM-!q`oh;jq{p7Z^`0hNER!br?IRdL!~T&xf2SkKT%%1pLOG6uR)4!mShA^x=qoFQmJF~2N7n@t4gLom6=hRvJ z(+XeE7fJINXcNf2Zj~OjUP2N zZTK_+LoO$be0ehZkvXz&gyCkVdOYDm*e=l}A2TzYz*iDt3UFpRp{`lizBCc@lehyv zK7Ec*CM&Op9upoE#NVp5=URG0Q!w~2bdvNo@my<{a%|iaYq0-=0_#vXZK_!x0f)nL zn?`vBU>zk`i(O^gsZ}#O^hR~DnbDfT(Bayr;bk8xBX|Trgw7rntFt6Dd=aNLJyUc( zZCJ|P#h`7E%C$%pI}|K(%qOBzD6Tb8PaT%hkL1!lW3a>P+#ViOX;k4n&WNIXtgYS4 zN}fLtE!&?Jquw~S(J^7iqwLHm=G*gZ#XI6IdbR0y^9ZCe*b~6jLRqwaa8jM};}Bad zL17#n+C>lD{QIMQ!nia8bt$IkcArslS!-ECcTwB6N#L6@SGZc!B3PN9&bu8yejI2I z%$)Kp-I#Qzwc#7J&jxIw?R3frE${lmK`Vv%bMc)}qo<7EY9n>)tkROuPX0ah=18Si z>|0{2p8la)G)Nq_zwLuBH)qSwXmR%ciXk;&8E86VB>My+9tM!>1&v+-`!KM z?&)gcZjSRAknA{YwaL?#?&_LrsUztK$KI{JF#0%SQzd$2jC zPW;agrM8U41aLAqPFL1T<;#lVs_q*+C4BCH>of&N;-Qe4Z-%~%ir|hz{+?g(AD~H* z|7E`UsX0jW&~s9l7tjD8r4rH3gGd)ZTXK3FA*YswcbaR~6W8jD-;T+ijMGXE(v>EO zg8LSL8a(R`(L;0p-e}ClvEy5>oHt7m^Lp>eUE0J7BWYUqe#ZfiNR?@2r_;(f2^qM4 zgxLCgw`VmQY5$?`5%tRfP0N)7mK_huDBvjOFcra-XWS}%ZhfVbyhfLdA;VQ-Qyx$MAG93u3ivMB9_>+)N!#<)Mi zn;o^*#H*c8mS#UfI;{6R@UAf5x>8#Mu#NqImrM3B9CX3Y=hvd-E))3j+OqK$he@dK{+&^NuEu;9bO#te23N?UCwNN6^0~ij2SjeE-#1E)Gy*UfpR)vS2zxrvzBcLEJ`K*ixHyvo zaXwf+YFojgR{b7w@BCgeY7?3Zje-rhoU+JYWo+q0$>gVkF1JN8>&TbJT7GREbJ(x+ z0J-o^U60WG-Y2v5l4knx&!OMlqvLM4>ifq*A1_|KsC@VfiX|kXxRBD#uC_dn@C}PT ze)`5}-Za+>Ke)`wU1;I)nEQpF-pS^CA9k%qUN4lW{PIt}a@58ap{V}E<6R=z+F$!| zFXU6c0x#O{yxUOkyCLJr4qAo_O%*57lA$nQxp zMhAsMmJ{KV-(qS)@nj$C@^oq0{zt0h8q`dpv#W3fj{IUWYg_=y4|J+}eJ)~ZpZM3M z2p%l??EF9B8wf(@@C~LCEELqayA3GOcVPz%cWoaO4zS~YEW)Q1 zu3dzs!k-nl|2dzFZ6S2lxagYz2!q^QLoEKHb+YS1l2waToCzs%=BbUAQ$jm|5FS+p_(uy{& zUoQ{&_&?M&qy|&4s|eBvGWYY3CE+d7w4w8g7y(?kqjBGf1AtvhzZjwl%X9GniAAD~ zG|@(FT?*4FK*DLU@olv^apHukbl7S(#~Ogy4Q3F@&a)8Xo!0Vtn0=b`d?sU7uQ)GAQINEcmpl;L~eIGNpznkIYp!>N5I? zlDPvy;&b&F?>Sg7ttTki46YMjQ`j|<$7_+1qIR&eGt16Tmu4ROiW+|~?DZr9%-58x z?C_`SD%<$P8sfG9kRayAG$RnOKtN8Fe24tImwTz`d&6FT40~a<>mteXcZldAlFd&x zSymHsm8vR{anfJE&1vzXMfL25l)^S&V{FIB4z+cL$I5sueT$|xC-uK9!po-?)WTMK z)!un=Z$G4M75D7ien`C|Xm@Q-I%jfZ1j7SW?rN!STwf7H#5b(=X$xyNf7@d1th%-F zx8Es0BS3q8(L>8Q@|MHTW1e$$#0_-JWshXn7MKsytlv$Bx)k9c`I%P)`8rnJPW9>Q zHnV(_FvCwDBHk2J)x2P?R!`%ltb(z9eVu)3ju}LIb7<11`-iciD#bpbitv)_cyQ#` z`0lRX>HYRWS|&$^ zs)piTP1Zj{5=~jzwLwrz? zBYc@+VOAoFx019;9>pq*zGRw$6-LQKe*X5@g%b0YB(AX!%sF=sel9inBIA z>RjLZXMur$m4W4$C6`6%)Ly52NQ?n`Jc$twCK$Oj(z7;A?{5R9Mxa{)42>K1Cr?Ef z=!{st$8-`SvK$aYn6vMq!wldpz;e%$(f)(uxR0oHIx}R}!k(;4A%ng!?`6y%)u;g& zBc_?mbPNIs41@#1@DfszMgj*vC1H3U<2ix>yv1k46_EhSBZNQ{+#rYt^F&_mhgZmp z+vo+uw_KSPb)G0S1C%Dv_q@%Z?MRwG0mUSp=a+kLIh8oV_9ZLqv{(o%geu<$m;~tJ z43u>5#toLn&{RMUSG+5{VYnjgu5hz-s~JC_3CWx!QnIk{b-2R-eG1WO!rC<{b0bP- z0648CYuqJKW)3_v!v!IdSwzzqY4x`M)vG|8(N!0gX@(U9=?bsuKE(+E?n$_=s1U!g z*8qNx!G31E?mGy>s_ooLcw#fMT7^wy+Gu81X#cJ;OBGhbb(#u0X<(%Id;q4(DY9#U z7M)29LPSa8wcKBRwgfgH9F?9nm;>ldzOV77Tm-AR(Ki7R7%=&+u&kb}5wgEIT!6-f zVcyr80+YR4j9Xfxyv*%I<#qYHpBLxUG==^!JnHUL%=Z$vvej?+;qfIe{4U$Jt_nqV3(?>UhRi|y+2WznnJulB{r)HOR&xPc(3BN8F`oTW|ndK zKoS7dqXz}AI57iJu%zo7e9n@CkHnIFNfG561ydc(6Jz0)H@i&R`TJQ%#(2(N9}2B8 zSVqif9Pc;i+Zfv7+*^LTEz@PRn=>@j8T81DrIw?$IeL4=tt4FuOA+h^q|X?KXDax! zh<=ZZ_5}ExaaS0*eE?;U9E*LaM;ZrZWX2DXrPxNi{sog9--Kj?%kD*w{iV(9e<}D> zwWq6ja>yW(w4esmPOg+ys#_Q!+r<;kS+tFGwG+aFNg{7nIcNh75raw%*QXS=%~T%q zW$uG0f7l)elpwNuuC3{*G9H*t_4})@*_UaK!3WZQ+m~;X_FE=~1?!uw!6_GPU=XJU zK7=?&=7J$mCUD26n$0U4ULz|Yu|!`g=$2q+6I|Q6IG7C8MIo6~B@p1!x88C{YH7N4 zA%AOzH=eIDr-J+aL&cz7gvNL7<6d$U#m6><()JLDoct9)ELYlWB4m)6v1=v{i1&Jl*}k_P}pM+Qw^0 zw(OLq+A~giua*rGdcA*mlIM2D!7^{OW+6sf=AJ=;iV)&3yb+{9-0>76Aj{SG*9p{c zDZl-wz#x4h`~jdLZ(gE*LCLrojU$8u4-*RlB(2{akc~66f7>q9VO=;2% zRw!#P`;RlSPXax9&kg}le_xks&GuSJz3$rxeA9QAt4{LHYTbIMh+ts6;Dny zv)<3^=AT83oiM@A_ZfX(9-mPilOb$xKeI&N`w`m_Z7tT;)-4x#!Iv*T9UAg5<6*p< z8Ul;SH`*&!tY~N$1o79or-{=>uT4g|l&}Ym9c!!{j0*l0gNsQu>-yf07pn?2)~wN+ zcL22%{nQKaURxMlM+nKsxa*&wK*Kn&=yfsN(`M(}KYaM$;{WPI>d+hY`$#4UAqdDj z;eLQ%GqPGYJZ3^{hR2Q6R%=YpDv?xC#DI=o<& zE6pwsS>ide_!A~O6f7Y6x@MNF!L*nla8cFiqYd`S&mdW=l9lf}P<0V2aXb}l!GzyN$M3+m?XpEA zV3Xu%fhjXMI1Zyn!0g2|UO)=^7`7#8y#uXFFSSS$=wrm*(WAzjpkwk3Ya1refq!!G zFD00H{`j6{OkfazYd*WD#)?;wHWYC%F(V=ZJmTFJ2nRZ25=;^uJwNymInd&&kgT~& zo%F+_W|9Mf`qDAPKf*YGH zA$s|C_8G_MD`Dpw`&hN?0sG(j;1j2sE^mg;Zd5XKlw&dGGB_#H_rS{QgCAb7a9@K- zIKBjjCN`!=O;-ht=#*a@>FDWfMh4Y$JDD}sqC#`yRa8_2Jn6P!hb#A;ebmfN$j;jM1FPIY ze=_O;2NqIw&$YG*MK`l7Y--Anf!%UX(|%bI+Ip$pCA_0)UJ04}Ji4b=7C*0)N&dNZ zEVg0E8Bm+lgVQ-@-w{cp%#ey(Bh19@Z*jbKKHU-b2-a%Vp~hG3qNwujc}-<5;7uvn zhD&REUV%VEPhG*NiJNHqH(0W|-w^@A0eH1K{3gWHDV3euEhdctZ^<|xIHj5feuycU zU#;_6%F?!e$*O4=#j}ac zZ>ep@cbh|wSPK8V=$~lcSJl^l6dEG>kg7+~v;~$89A(l_0_Q+{#8ZDS%=GfyCx(mJ z1?mZLCO}8%wu~Pb0dT5RH2lmi@Xg)MY&Jg35Bk0+a=XWhP}|Y3TDVm~V&+}}UI(l< z8Hs=jR+G1g3kZ#nIS?$MOVQS+=(MQ7JuPlRH!{n9Rq!DagOCD8pf=_w7}8rOKNlq&!`AJwdG=R|lGg`@>kZ`pPc{KD#_Z(|})4 z5*v?856vOGTt+e2?t+;*LYMUVNnQe&g+$<%QK z3_t@Ng&Q|)_*5#6`Gn!mn^zI`DgOM_k@p4d8NKEkQ)5C9{4f<68-~#-#de1eJBegQR3l}WN+@w@1 za)`d4n4Q^g;$X251?xvV!6~#iV|mc#5>+~3t9Ch8^J`x%XsM76tKf-_T^`EvY|UB# zn&}7;rCePKgm%G8SWPkU2(t7BddPmGC`nBm`PQ#(UL;@yu+-BOv$X#RNk}tcrC&OO*ac)D+awJ6tLUANX!z{jnKE(og$v>do)9JQVCZ%nL zd!)hdWuQp8^$S4FoQtF&!<7H?78aN;CRR=0j*=2M_`X?hc4h6NISuAns&$%44YK13yZvwliCt&A;_< z9IQvP#p5~EMn7L$&dw+j4UcUUN5b`^?Um-t?d3Y^?nArknaQ^5`ms@U$MBMmrU%3I z?8ngtH4or^hOjj=T63UYq#dvQha8Z4P)dR@=H zVf#drpnRl!cLNwgy6((Qm;|8B?9%Eu`%eTyiT;Qzk96RA0fzKBUd94mN42x3Sfp{#h@ zG{XMARtRXuy-%(6J9LQ)pywV&z*$VFV!EE6QY%{UsDv~H!q-hXZTNywy8Hdf)`ERF zvZPEQj!0XjD`<{4L;gS&8i7T~p6G}ZAJ}ZKPx&Go1}2bldc?1Rkk=@yEDrj3z!OBy zVPX)!h=RveH*!X`5%x{r?GPP?8v$ToU_gVTGDNTN2&gc9dO98{1<6g6OqM)5k*fK# zF3c}75Qoj9uVWJHePO_>Z!X`nM2GP}^A`qQyx)dB*O2~`)Q&d%(%4i@07Y52o&euq z*aI*eL&jyW^2jm(@Zh}4zx1sO)8s3)# zoI7_y+dRF&R)1;l9TsM;qi4n@I^lQ*E`-&B98Rt2Dr9;nXke!FP@_Qo{p0DXNJNlb zWNQAx#L5AR2pkd|oe?p~*L~>CU<}?{=AlLWb^Ah+z32RTyIiAfJq!-g9^_oKHTO+SraE=;zGC9zf&{zFx zauMsm7!MiT*KL!EWPqeW@Dhy7LCkvN#tjdLspJtd35035BS2O!i>sK`^UQ#iu^@Tk z&DAa5R+hE)Gh=CvV(~MR_Jr~^N#FXd9et$yQ&jMGs}1tr_&(};#~RCW{$!T?ETCXm z-T70&h?n{56g{tZ`c&5iqtTf$ceLKGY96Y3xg zFMSx8z$PUkeA3a4Z4q9$f}m*lC`_X%(SrRGG4VLqwWfTiFYv>4`ai!YblFrS0^fl5 z!x;h?PZukbP#BzQtz5!+gvaYqKdguN1G;^|6 zOrCzaPYEG)N^#I&j^r8fk9O(LKSBKmw5mC^lCh4`$rC?5EjG}$KRM>H^V44US<@(O zGGhTBKgS&R_KnWgEmnE`Q5)r(J5nGchtYIPcS=uzp)+gh>W;uTWs#~$AwApc!^fe$ zd2=WGwOE^tlzXhc80nOjZysR>4*UW~(k~_PCbCPme1kejL9L`RQ5WYsFDA&Wn6>r& z-Gxl^SycJAaU3$9LGl?n4+2bKVUBx`1;RTCDwyijoKNaN_!KUkidK+?_GL}fH2?nh z#_!C8Tt@CM3#jQYdcML>E`2hun<~7bsN~b@+y6 z$_$7wJn|i9Vm4-0?Om!o0M1>JVEIH-AZH%#i16ddb|$lWVKfN?875YOo1WZ2NVp(* zkbi*&37f<;TZf7b=9iFGnYEVr4r^Q~<#VXqJn|kshe{ra-YH5-Tj)g;@&FyL4fkqg zz+KM&WBN9YuI2)oh41i3az|sm0klnXl>7oc)_ocapp6|TMH>9&DM1W&0QIh$as=81 z`w!NegY76G?ji{XSlc$Un@ahG9LSJ~3Ys0qHw=XgkKvD!ipzHI9CZU!($)?!FPYSZYLt;~ZE;pbnab|NR$RIK{aPtUI2~WoU;>OC0P)B1%(OLB*RQ1h zMM(KZM$bQ&$K=?TnuhvJ$0iCUPF<=>f+xczb`GA6~NygY2p~dBH z+BX5RN}Z-`TnkT+xXsaa<~v-0aJi2ke|Pg>PWaxtAh+{?6jIS`P*3fs%^(47^1y^6oWW<}Z5{6hnp@q;@}|GXY#27h`9XM!p+{0;0w~RC!>g?F{7f9`P-QwVE$YjyW|rwY9Z)^#!QO zC)#VZc!b;e>z(o$*zPeAIjQ=7sEujPeQP$p^gYzl-{#FKum5(MtM)^_68OnsGjH+5e5G&=%ixl5KzcFo!j38uOB&nu zJcM>5ddRGx+SAOs#rf0q!)n(SHqhS}RTo9oN>QNJ85N^)g0qacWeQ5e($)$98_y>g zntdE?KUgB9j;!;G#5``B+->2RlG!t2*X9_cqV;S&<+|I?$Y3gaBI|gs!N$f0u?0Z* zkiawSAn1go-`$Kr$-85pWrK+ldc6C9TsbCtkR`Ax8^J51Kf}A5tgu^X^UTmf-h2AC zm~UdMGJymm14pQ%P~T;l+=BcV)tuqfjEV%rjrf1rLNflO4|9>}iDAYx$4URSl)t@$ z!|I85w6OqoE&olB;_k`nm@Vr2LxZ#8!nN>_#Asa4&|L77O7D zGR+AH5!M1Gl{6u(4R_Br#bHK;^S#Ps3#+kub7)`c7F?#uw)+7g^4qOlHrz#} z2+I*fgPk}3ejB<053R&w=PUrK5_}xS;ZDFx* zx0CyuFzEy-tD!H;ZA%2n1eeMB zc0wi7^-ZY(0FXhi<{(l`{GKX5k6;{k0Zo;$1C|>QAOkFdAUgA`7dAA|?VQbvIrZJ> zUl=+<+l-xw69n88qF8{mbIuu3jIv9i0WBZ)Y4oG_Gq&u@^7>3%kwnqadbuBcfJ0*= z1J7{=g+wXJRL+mnLd?#14^grvv$z$Ml!SY8B^WBzKAmgJ(?IO|MmjZ8jy~1+7Kor% zQh$`A1BW#6m`u+E^l?kiYco&^w9=6F6oX=T?pSe-OZZK_kCN7`xn+EpzAj4dAdPp)9-whs;0c!cyKkhpy&B|I4;t+$P0_N zH5+x*A`}NJCz38IS93gbk#o7aHnzUDH@m5~2D)9R)7YBzpdWEgp(21&Mu24)Y`DOu zaKH9@zMC0BML9-BL?DuYZLgX52MHCUfmOj!t>3zJ5qew98WQT84Xe_H0R?KRlH!tF z{F&z8TNyQw6Y=9LLnjoVZ~UwTqO`-J61aP+xfIv?TuiKGV-62dPtNnCVM-)c~tL(Mb>+A}rz5qWM_|4v`{FZAB(rmp~2 zM(J|z9ZW!pMLV><^=4(JHgoK!NP}djjG)uybV629pre@F-|q?lrR}uE6o?B%Hl0tq zt#x@@0ucXi0R!Vj>xyS?$Ca@i;BatzjC()e@-w0PNSZOo_9v)|uu7&}Cwptg)?baU zo!mEy?5^wLD58iWq63RcXqKkcArE~I1Uf{b2RBSwlcqAYO!~a3%{o-}*;iYlRx4$Cc8a-=hfI$0fLmT5YihbrX=9$@J0k<|(8#_-CPx4|fQPso zvN@wD?fH0ZINeORv>kQ`k@|EBL^|wRRADoQZwuK;Hz$@y&3s#C<~5G#lg`7RK00P( zLn&j=9%{!&RA`a6Xxp{CLOK26z5x&@ZlMeSGj#a$F{oL<43V}?ghyueruPnQu;Uar z+QwV&xu#$)yUlosuE)CkVXhM)ip3IVfZe-u=T3}$Xg^&gn%1jcuUkDTnl^+Arsd>F zZI+J=rTlB#UmON)JBeR(--Sr!oYxXRAx1c?*V9u%)d|Ti=ERd>pNT3kVn6_CS;jvn zR+B%(LL|}%8(K7c1KWP@-4jPYD1Z8j#DfZ$UhzF{!(p=`DyFp`bqZk-eiZLC) z4@vIq^>b0{Pi>I~akQ70H1ZWd>v^BqFxg*a%=>eel?R78wtMW!J`LCMA4cElP+sI$ z(dHX*(-V)5tpr{HZimoVbh^QLm&MQ-Y~;2JwYl$rEO6Fh)#{|+9bj1iQfI`U0n)%@=%5Hg&})na z$8l5{9c>i@>3ehZak^tVA+iu;kI1%@f+~!*fgsvx1qC~%jCw9&!K48_w1CjJ<$K1j zVvv3Sge!$OT4?dh)&Jz}VkW7o>qlk@0)Fa6QtGamVBYh*ZJe+SFa+&jf(=Oc^76(@ zqDs37@e42ZJ2*=aE`tquzMXIG)d<+ZLv?xPS-YO#^o^6Yd-%_a>zSZvw>Gp&aLYcz z@BipQSeWDj3b2DHmoXf;BF3)RWXys4wHIWh3%^9fn{}%=G$jzJHFPZ7`?%#`QapY| z=GQ6rRrYlm5@G|vjLioAr0!`u+B)x2+2S989mymisRf(2ga=#Ns@oReE634cvohNJ$(T*1_wjG4uhjm+cj&*Ulgk)#zR~H2uOIHxC*K2<(R`7 zq2G+O?x70pU|;h95d)q96xNgDB4wTgyK2ZlJU%3Bo)7{>u-Z~Bi5$pxui^W_j4SQ$ znZTGxU`7r>Cs`(DFu>TyCpRoYj>mXxTpZH!wv!bYs3z2UII=zKm6TNoz%BCYQ!M~< z<>kUyc57Sy8E-3i+|ZiI`}#48Sh$<^!~Ih35rkgV`}XmWKW)h0A{<%+u?Rj$Kh!yo ziM;RUOu<|5U&f9b_go`{;FZ_^04VPwe2gO{FArtF>

$o8$JhK=&5IB@;F5Qe?m( z3bZCq9m=@ncvN?LoalxGVf>a*NLQ~WZ53Dr93vEs(S$+zT31mq*jRu{5v%AN*vcay z1qgIMN5qrPVeA?dN>c6$3Ecx_2K@%!Ev?4hB<%@@OclZx&+7Ka!tPj*dM=f_2O?6JEI;jv)v1%nv9 z{zKo*BaI>QRMmX!r!e2DoG&x{UP~M7*OO8Ss6W5HH%+M1VQmaAkc6L zNw0nun6SS*h(AaN#0$~gyWdJNLnIlvUw&xG zM@*E869`RKUa!gd$h-F}2<`2$X7C_zP`H1u&drefw%D#q^sgkJl-byYu->F@g=Y3q z0Mo?BIOAX|A2RrxPil1-KZ9ToL3d2HIoKI@fA=72MUs!zLL5bL&KJ?vpA8cJbQ|qo z;x0Fy5WXnV?MtW#|0l$Tq?0I{k}Zo*;gxm2k)fI7^Y>R%suJ*p$_0L~Wa~L(_5Zev zRPS;ih~U&!{iJv}sVOkj{Ju0=>quP~pROCmm5P1WoyKe%^IVeS7{2=X3t2YH-?uNz z%8>GlY6&H}kVHY^zd3nXE@ubMKFv}MR@wUISto2Mp-|ytRs3Hrq0r=CP+7Y=jts1L z&hvphy}v-Sz`%+M>56*f^Ipfkay1q)=@!kpk!ceAiK66@!~0i<0FvUj?2Yw`sC5yI zwASDH_A~$1S6J)I9#~AiS)1@y;XIs$4H+PucDZdWpZ_;Vl(k!eVgjIjmQ^q=oLbGo zZ?*ys@y0ZJ5Dd-L7>hhe!ADS=Tnr{Gz|q29GVGLm#%P2@3sNlNkyG}!HLX01kHs7nyhtc!n$%fq2LwaMpg6c@lqNbZd(|wDB}Q z<$VpBu;ior7?}!`S~j3$Ly{J8wJZgr+nr~l@oROfZ12pibr3dHX-M7-|6=N-On=gvmGPv^Y9ZMw)B ziKHp2hq$ks<}=_Q=rnHfbmTs`>*qg%v6Sh50i|8qmwuZDe3}f0J4hQiDESAO5N8oi zusEvFZzJJ(pCP)+Bs9UTFFXFlUsUsdJD&eb1?az+=7bK9>h6DXD zOl^KYC1M5YmQAIw_!>W{4MbvP>JzK-*AAhU8loW(pF-Kujv?nI$HwL4o$rkAGNHAb z04_3~g6m?e1(IIEVjiLNrHIWbse|K$nS@{U@6 z-bo77|3%t+2Q+zhVdJ5+ViiGZEhx)^6?q+>-EWOTDx1Q zHAl1CC06u(P|zx~(T=3o=LB|}g(h&0V$iQ!dAgFX^Wm!3)Z3JnwOSs`apg&m6Fs1| z7Mh30NzxrYh&36%;RP^f|w{C>(sY0>}&hj3#i?r_ooP+m0V zSDQS|ehH{12-l!6?(sn)wRLDpN~a>CO9=NH2n_FPTtYOzL^I0rdRkLNo5SxjXuhH2 zXD9l!&${>2e<)Sg3jEEaw-7^`ERoP7SH{Kl3T0TF*6u+$^>tzzXAxGUbE3L=?@C|l z1(cU8e;x4ka0+WQ<@GSBQ0!#tB^y^KpHpk99e7Ksv?t1z( zj!fortCtM&e6E2`rEGx!iP5% zXU6)y*Fozc84oaRbT1nNad@f(=P|LGbz zCy%E<{U3lkJ^YuU7?Pp4Yc`vhYjRJr^gr|8y;2-9p`bQbTA;GkU zdVLHo&!fihjS+pbTqiXY4G$NMXZM)m{z^fcQO>BQR_l6UBmnqSEMMP?((z-K{fkAd z-8sIrG;X~ePrPkK706DOb%oi1vq^1$jzar0A^NSC6=cEilOYo_r5ZLIl|=*)r7^{4 zg3S>KBrQ;I6rEf$Tb8D0H2wrd^N|-ZG*|Z8SCF*V@kBV;8_kz0ypxyUgQN=vY*E5A zvn2h{L**0)Nd*|w>_*|}yj7C&5GAj%L+*xsPrJ5{De^^o&PL}qmb4Hbr7QSdqdZIIQ^Hv7 z*o_~mA^8rJyeX=FC4sg<7+ynddFDPc$^ADcnJS*acvXrAR>=5+R*;A3ID`%I1D#AJ z(?Rdw&qw(i0)b#y5FOGOKuTRu)j=&JS8_0PB?tdLo^;onKYp0v71W^D5@xNdlW=);bcGN?0via}lY_J)GqRlL2}u27Kd)%UOCIOtCY=5>brpY@C{QLG^F_~{PS{0jc5crb zpVU-S>dnq5F!i2~>rwk4c`>X3phU}6 zDmxWu1$u~g(hHGJB&MumQH@7)WSi3FvGkB7QKCj}@6}Y0^*7De*fxbWs6cX`U^ZD6 z>nD3qhBlzRS{WIUc|{N=k(M$N+B$LL_T271ox;z@teS40xfsU%czA zn8OhIj@e2oB_Ap&N%|yX=4Dh-8zEJoSuydV^!zaxuA_r{jR?OVP%}Vp!UaOHY2Gy>c zIc;T7QAQa!k!l0G4f_0020c{rNxRvX&=% zIH9x9<3Wm+mTnmBOf6>&nesc{^=QVdMIn_9%{5bfX}Ql)t|>snk}~xAP)DU??<5z# zlBifAMF)IB;jL^Oy`8HTj0{o_=LwIDnKEZi7A%x6=xuztb2~if*6=AIb78#IqAgoCh znDdUn3mf--dC4F9lzb)3IQf{{A`Fw$=;N5IZz`dOoj+KQ+ryYsHhev9kLn&w$|M(k zj>iJ@iM2>1??H*=oF&EFob;?^zplc!qg@adF)%!cOnlw&X0f)vUaT2(Vn2qFGa`*q(at#H9hft=J()mfSHLI~2CUCuDo*1EP}_Ua}-YmZp*tOPI$} z1z^+RwT{Ntqj>7R7<(;^jn4}Y8YI9SP8O^SsOg{vY4mkOXzX&+f^c&xj|S)@LMq$kYuzmN8xS&I5l5YpWj z>tJQGJ&8+#bx0}rEJta}+B<&w#U5ftHmJWO$JqAl-Wg)>kmmn}G_S!u0MACA4i@o} zYZ=Ci5-P@eD%=8DTKG1E6%3>av>L)7IXxc-4~VB=c6o?IPo6y4(ty=LWIxg?;!TAQ zcBAI0l(eZL_5ccz*?$d=SvE zTvy;BI1&;du}QUmP`e5D0Kpw_Uj)};9?1j(IegA(B8snv6Ckgm9o)pv15h;-VJzfMF3 z%!lP9^R%>HjpS3S@mM)nqo70rtg|kMg0Wwl^O)yiRVAm6FAmV;btXd2gwu9fg@dcX zt+Fl;8Y>7OY|5L6UUIjp(2Bko#|ZkAtBJE5dP`OR@fJZd5v0L`g?6@nnJa>zis_#1?NB9>%mwn=a*3W%B*&}*Ve0Vm;13ORx6K6eWoP^r>bGw*$SDg*ey;V;>nFTc znpR(7VDORTrKVUKMPf`zT0pw$L&l;dUauE8Ni#~XKc`XvC-jC2B_ckeyhZ8xA0#Ek z&!Ez7i45tPMbKYRpp=y0lP+Dl^wH}h?brco<6^|#pix@mtA=A|w!`71z2HEDFa#lg zi3{Rk;(y_?(A?&bH>XS+wbkO?W9>PQHrpfNux^=Ib=;qL)y#=k<@ok_s6~gjhKLS% z^|Xt9t=&J7<}TiT*z;-yM3Bv$dI&rTJv`INR)BRsM2ld5rp@>91 zzx;7&VHx!w5t|H#vpYJiqa(Yer5ehDL3a+=@u>MFOpLWqNBZTL@g%r%r3DcvOdjsp zXAYD7dT@@}Ps*Sq`M#Y&>7a5XS7z;ey)FNUE4=rdlQHOV6o1N!1jK5W*xP*V?yB`4@3d zhVw0VK^Y9}OH}=^XXY)DOh?FDH4(3O-hbbC#3>}c@Wg0Po+8l} zLKVtHE@kqmI%%^IV?rhD2{jTZDLD28HP5LB&}$jLOKBd0`WY>J(z!k<>-WF!Z#dIQ znE84)P=7RU}ZA%C|8;K7{1w_^LM-3!+hwK~XhmfpxFt zfzG8EwtlbNEkkn_zT450L)@YdXeztF@St*}^Cq7LSq;M@!;WKdr^1uM8nfP`b<9pE zuH6h$9L4*&0NE?@@c&6Z$n<(cK6u`RK<6_VV-o`Xp?jlrhu?68#>xEPrBz zSX#}az9dgCc$L=S%O>y1a8|tIotuW5Rm9&gwa$v*@kZ7-1`=L^N-#zcG#OO8^$g!c zXa&hdkVL@T5)Bbva`|4rv0-ErZvR^uP=`J~95uKoj4|{vq2;x{d|D(ZLkgTsUhO9o z>%KKjEd@{%qAL(Z!v1^(Adl2Ef<+1*Q{LCpX&m!jjl(MoKj0Uei^>xs&y<;{94Q=K zU7Q`fXcyxfrUGXlpwKsJAC#CK^JC8b<-j|js{J*AFU~Ep^L?Hp<$M!qiD=V#C^{s( zSkQUUx(WbY-q*A6Rev)hChQ%_-sR9IYJ}__EpZV50>YZUw$cXnGCy)KwFdSYA<^(@8pp5iuf=d!rh1QA@L{ajZ-dQvC>xM13O^AL0|-}4Jwp(O76QLXYhGP>2(X7A z#}sCyGT=(JX4W`%ZzpbYk16S!5?=eN#{~!>@B(x(`|=koB;uf`qmCyvxi{~5iLz6K zvQv|2M7o3khG3c;{+mm60TahEgm>mHkduo~DZ#>+vFWF@(|x1jW~9E|ad%lJNXB zPqzR(-AxYD_V}yY#PSylC&5PXwfz6R35NOsEDVhg$@X?tRL%ae|YGMCnU3aP)gpf#l zuWI2J2D1QZ^Nw-xw6o6RWYF7c5N*tLNf>%P++`zRv1VtQ;>EmM+ZG}s07HgaPIgX= z6%<ESC#lDyww+~*XUdP_z9{&R) zg;87H@Ld)XU(V5^&~vkp7Km1G(;Y93DQ2Ra@;lY%;C$rwAJ=I8qA z>0r1c&~oR;jt5#PGE6yw;kslJF=42#TP0!9-yT zkXr4G-e~YWiBiy+dx$hM#=OUj6w<_D;YN=gWm7c0Z-MGsFU|YGUl^-P5Pg?^-#He^ z=c8O&Pp%ZV#fC&X3c>NG{=gN{%nF1^j4IHxarPY-Sy6Fx21hVewOX zQ`hxNz!C&)O`lFf=_M&xQ^s+WVX8H7!1%k}bI>;jWL82lv?St45W6v5F&vLtW>QiJ zzAMo2;=}@&MD(^oyQosA#BTaoLH;L(VaNwz)*dBgtkF&R{fFuXRp**(oXUS(0H?N= zxW1-ClW7|Tym8t_KpxgF8jJ%W0lAi9G7f=jYD8Y|#C_QRt&ysR2eF%KS*#fscU}~TZztLNDeBbl$sw19f&cDC4&)@Q99;%fF z*Czk}S_0HX#aCI{B2?dC4v0<( z=%COk>B$p;CypbC@Y$+&w3i=#q^VGab!udcbt)g(e&u1Q?ZuD)&K|ur@GZu~d`WQk z3Yw=k1oYy?40NDPJ$%0bTL%?q1J?=ecT7serqNnx&Gy_Lmys>qv0j&~Gig*SCcJ>g zG?+iD%`0H+`yGt7)U@ipPJf-?L!a+r^ljQWaMgeoFhTd=9NTwVU(mHk*D}{9J!POV zKu4=kNf2tH2^z;SN}2>8mS|Hke_!i`XB+Lh{rw8^p38J3%tDRV_;u`v26o%sxvHus zi3$?Mh{6qc5P$O&VQ7%apsK>Mv7yUl1>{V8 z+qO2Ei*7bQc@No8sh`elb9FUsZT>b$*q&b2bdOala4EdyW%7lS#PRII;9tW^WN4nX zQdgaQGqdop&K0fJzd*P$Z1c72HZ~QzVSN;QicWDy$T(@cgSp8e=ZJQXoS#|5weW>w ze7fJz{9 zOM1o8HxZtKnF@?F&L75lF`bFp*tI@&~ZrSK^FV(`q0vn=tZ zpuX;=)b9S_d;SCGlz;4?nNCnWjV!n9vqd;sr5s}1yNQw3HjtlPILD6bzvyu)1caGX zT?+XwdG^t3x0KowG`#1~+z$QoxT^qGQP~OVG1}0--aFKslM+obDyzrY+Z0X7`5C^e zPVmS0o$n;M2O4`b8GNg15T8)ljjAMM;lKo)k)t)b_<~AwWt&c0mnz*SKZ^XT%FYog z2;^=Kd8dDO3v5aL=wH)Mc{FwJ9~r7PByV4r>qE+ZaIGR6 zn!Wz;f|c51#N5$FTZ*Kx}|t}IS1(`*4~6WjJOVYAiZEw zO^7M=2cb%=9w*<1w|hF8W8P1DNB2gbkV)J?-8AX8na3||n6RVLNrJwzpz%<}jPcH(QQ>b{ zcxt#bgI=yC#lt5^6&NW+*g9^~`NzN)0yN@<+ z(&BhQ)^sg`zgCvGMpFNu<3VWEukFR8!ytfI%$`t1vv3N*MBXGRq(8d#o=$?A=Q`@% zBS?RBy+6nRP?~{CN+d}={@vas|8}lW@18CKVp8QpE9qXdT2S#pqY|Zr!hov!@>{=zYNmZD_c%buTj|} zHFO|3q7o7rHlk1h4kgX=L6BjAdS`V(TD6yJo9~W}&4^AS&{B!KP48e~Y;#ma$aBBe zhXq21)b>ijrm=H3!!=j(zC~hMx@w)@y=*^3e(yCwxf8DW?gZ7wG@@dw-s4PEd~BL=~&Ri!K(Ksp#*b> zOAQI_kJL6WM3A)&@4&uTKO=D z=P|TMH6i@``L1B{fU71Ra8vV0@WnZKs$B6%x0iTJUGKLBOJ|=7`hz+cALG8+cZpI7 zar`Wa7akEEtw^B6mK#lRV<(l`^W?!&Z($M3pxsSYkDcRT2*(rt?l@D}!fs-DYWMup zA(BKy{>Y{GL-4cy(DTV-1AeWsPJ9oCMzED=%boeI9%!F z*L6rey}e+dJZH4j9=jAbQ5KI~O)lpj9m35|gx^xv4f)KV4dYd?XsYv%<3v-M)uZCA z#lx1xHHDlimnD|PDPEt6{q2!fNr)J3ZBVlBc1V5Ez<<&@X1Jv6 zo(Y$~c_)p!?TG6*F-lmXY>AXK-cq~4Y@{W5x?hc9;8uBdhjdtu>%@n{J#bRzjs07TgsfuPbUvoX0>do26^Ht!{#o3^*7Ishhb`yVw#BSfkV9|WLskZ z#1FY6CMY&AYdN9fOFUVeP~qO)j@I{ClaEz06h=Q#(>U4^s@TdG6|j_*ASB?(++-iW z;o(#k*+a}S@~S%3j0ikAVGs2SnR_Pfxz9xO#ttK-#H8uc5p()=(VQB#^SItbARNLY0s^a8i1JB5e_vdA&aynqmelmQ<74ztJf-kC z)oz;9^`qYQIFL+6%sn*Bq&n%YuY97{i(AfE48A75!;i}tI@Ns-)Jp)Mm=Y)s7n)`` zq*Q4%R5Et%T>C6l&ptgn ztP}TjBj!bD1Ik?k3+bqD1g8oyy!w{oKBURsI~Z%`ZYxDR;fB*hk_Z4JC@}7eQJsI3 zKv)^B5T#pDHXIB=43vTo1c+{~O~t5Km=J>MhSOOd&O{0m!qDOS1Lx58lapl58?`{9 zt3zD;fF9tEC&LFdOFatHo%&z`@r-l+j4Ny~YjnsvbVb&}gjC7c!5B_K6v5HKylH7+ z7c>Nf=v%NbPFxo(+?M?S&g?*UBZ?YIiZ7B}lWW+1g?(|PU&5h8o|}hwAOLWUKQb*+(% zIz{WmzpR=TD36MsHCC#d_DbKHsE=pz1R#Fsy1mC2k zBL^G{Oq_GRLwR#|0VGn;FC%q!7fPWCi2?0SRuWZ$EOnzL|9Z^AFfyA3ywinP#Q^nj z69DLV&F=uKF%!D2687AZt8WI+FN8e}D@u{0L@7fz@U>AUGR6!d96}gbM?7%k z(JZ#;$P5?B_+^9ANud67Uqm-mqr4rc3E}L5iUdBKFs(9U&&&4sSYuUlFLCFRYR+L) z7|`;-_dNuQb?Qpzkw5|+vTp!#azEON+zZS>8xUOx9}YRBA0VK@u~=GMJlafwOh7GI zwOn4o!$2>a`c2WVumzz?39uSmT%fbuKGBuM_&gPlcf14k0@(lT+=-WJQ#$fGdF!)# z2lh1aQ)B&Z2`q z|L~YyunzoGZnpbH4f8pOp19TM2VfI6hv~Nn%**0XS4Z5e6>c`|o6pXXsz!U$igam1 z6!VLJww&LP-CGg|wf(M>2?P-u+@m@kg5A%(Gz;74`=IBGoQR(n6~(KG!K!d^y};v} zJdn%Irl+71`5hnf`4BKk1C9zJFKlsSmdBLn)fmvOix%osG~wU-G5~B+yK0fY2A5blQk?U%7#HZ6QE2xdq9lble@LzJG2g} zK#354)RdG6|ELP}`OlbumjgZp9TT4h!d|ryasjTl9g!F@<@lbNzqD&EmIH#T%2Tl9 zgk`OxSiNLj`&Z0c2MJJgD^5Ho8cFXd? zKPN0(LqlZ2oE6)br@*6{s*m!6@vTwxxSD$j? zJ2Sxq#^Ftbm0<~Mmu3WDKH;(;Hy|7|GbcSTh&%$gYDD!OJ_f7-Y6r-|!}&xO@VPI* zQ*XJOqvvDLI#!7&%sG+rjoBP~bO^xQpnBT1+^6}Xvgqko3_}z-KurnF&_0C&gJj2^ ziXmtb5C9e}c-FyR!ZRx=;h=|~5MNM94B$BbbUyj^=La29lOT=!;!C>qA&o)DK~jg{ z>`yZOr&gGmk>MirEcX84o5PM5w@aGBjT%P2sFubP9D>_eRg;5{M0wPVdeUs&#GCWy z#Gfs(fq4G-wcZ*SA4#0lWj0!lVBP#-L{lVPGB#i&x#s4#DE9n`^=5Ukf1>o5 z_@Pttzy!izP{N0#_kau$KFsLuedZKl#N9(;0aL=qv#KWL3c8Z#ENmrsR)Qy6Y=O;S zU19Im{m-yz0(kgWa_0n!5*Zy`7Q-5Q{x*t2Y!hl^d^meNAke&gi#k}uKpUHqM%IaQ^?DjlEpdj$Xc@` zyKsO|cc1B)&(YcBZ$MS~FdtHj*N3PiqFTn%60T9{7F*L5lcRjM^buHaer*n?1)gh-Ru0$R2d@~KdWHV))_N!yw;hcI4WI`GNmqp-X zx~a;h?CBGzxCNhjk^uxh#p&pXkVVu+8E1nRwWcH-&&jT;a(QT7%qzW?6EeEH;2J=o zfV**ff#=78fls)vv`C~h4EM4o0S*5_G*?}7o^0HLZsp4BegX;N z+RuHmPwOFoi7}6S&5#eW13`hK^%GK)%6DMJSJ!AhU>QM`57^;kEX&9eSe7+%D7xLj zbjB^+?xQ=iGBamuN`}iI?)rK~QUo^kLX4c+Y5tY$wmzqkxST`$U~U%4)c}%b*h>`& z*aRRmnvXS4e!YVsxFrC>Rp_P-xD^>2#&?F~W&zA%Y>mFJu!)OIFp~6-XIW@1AHTIy z#@8iME>awbDeLdY(C;l3s_ROcNB1h?bR$A~1ePH2H%kbaTO^=Bm*|f5+w~a`1VNyn zJg2EDcT;pi#P_@M3F2X)cpLPp@u+?*MskqADD0arkvl5gYWZRC(=A@TTg)q~a>tK7 zV$~AEq?^{FAwF)^EaivhrX9=hQ(bBcBk6h*L#CtztQr(`gVzgn9Kg@Y%4!8Gg>W#w z{RyTISKI`}`z@4J`W^W7%t@7}e*^icx6=S_jYs07h67b1pQ??b-7$%V1x@Yr_q$e+5lW%wS3P?5HY{OA7+~7nL^PF1k7;S4 zwQbwAuzMf$-(j2_Y40HN^~G|j!*v;uc8wAG?lOaWqPGc7!RQJ&ndCjxFPBu z1cs6qT(^Q_Z7o2BqJI8TimFnc4vm>a04eDJP^*EnhkXgqY#R_-0wAd`4#9FI2>u!> ziBe0|!&|Wd)R0_;R#UED%O0S>WF%&HR*xf6JtUn^(?%jOf`%Q(yj0WKzuP7m=>M8% z7a604lwk}WF48P51Ahw!t$CAOTzH}amqV*-9vu8c0o^B7&`>^ZSWWuVI^%}K-dxSleC(-W+wJyv zpuuQeqDv0XJ0HPRt^Hj&DXpnKM_oB!D}otPxWP7;=T08K!R4BvGvWyt5tSMSBA>oEeXes5_tZC zJV9`fKK%7-73(gBdgZEF=I;Dx6SqYkjrLyqfQEM>|w0e5P+2sP`~t}O!CK_k=PWyB}5zMnAJtz&9a={)Pk|85nmDHuBH z$ZP9XOSNvHR!;Y15Ije&^6B{rU)A#&*_unY{lnHQV~(3aruM$B9yA-s8Ev&CQ|gl+ z|5mDzdZ9E6c*cC>jC5*W-k82+pEh+eF{zY`RW+(6#R@(mpcJESzKh z5x0BuQud9BE$-RBapSrOTgxEcbb#P%Ec53kw?-S@QW9)2{d9(kqja%#WRfKhl)M#g zSN~NNn$Z>Mbfrlagb3rdUzC(SH#*!dH2q9oWiK_{|HMHt$_4Rb)yrk$7{S^VG`(k! z>Fa`!Oc~0`-CjNtp3`JBd&oBAx}lE@+v{x5t2?&Jy}q6{@)0CoruWAiq6sJPjceY` zz90X34w-HH{$no<%hAVnP7n-effTJdFJQsSS@7o9z$sVAXbc1wWgs#ehX599%kVFw z8;eKW%1&}4huUmgeHEv}mJd=TF@yc^&Zm-H%f9J3IeGn>*)izl(x#|Y$jHh&hmoD1 z&||aO!fC=8cUH#ZeePknsbqw{BWl`5C?Q7@nNohv3WH_1>n6dQ^|7~~D zj0c|9*%r6A1&sAMi3K@&RqGV{2eP#b2akrQ`p6i|FQvu_JEIl+6;)!3ZxoSJ=R|l4 zeasPN!Y`9V+wjQvHalq+WpDeo{ZKkl2^e<@(;Hq=t^NvL{g-V^V=~_79Jw^u)bAT4 zUc{Q^*W1JwX00M^B`tJKO%5+u(s3DBfi{k2`OL|XTw3hyJ@qZuf>lgOyH(a;jd(j! zlF5?(gw_Xh+VwEL@RYDdwV&R;c1tiTzFtn_6$u-FhS;Ycd0N@I{8J4#98%7;-X^m< zuEAh(lD0F&)ZCiJApe3Bh0Lh&cJUjs0&Mt>?3x@KV)PBmw5kpH#ap9YWCN%@-~ZqD zylhSRieBIB=HuaX%dwV+Ved$142~d4v#=4I8+{Pq6)Eh^b^TuDy?^m_;L0+U3|H(a zT}VA3VKjO7jGvJ{s^pCH5wZ6Nc3n$uwUzYSzR88s)I07XRV^4vAKL_2lf`c^h5>^e zE2K-qlu_PzK-9kIJQWb-{lG+D1q*9Hz9dr(d$OZFI=Gvm`?jvxgT2HxQ~e zb(VPV$p&b2RHI6krlzhLFR~0WODi*%JlBk#9_PE!KEwovLwN0W<;1lK*bL)AAYC#@ zCoA2;Fkpp4U233x{fm#aJ{>L>u~T6{FR z?ADpMXb*3fHt%9Xtt$`Xdv^j&Wbc$(TlBiRIbtnv*%77B&1n$*g=boDCD#e-((|g+ zjhdT_k=Z=1EU_w?lrfbgeG(m*F(+NFK<}a|)9ax7;M}XMYtyXY{e}!~GI$ zd^~b7lNNE~Z#I%?cHw-0-Zu}BgcRjYjH!l}MY0a?<+JynkF(bK;DKw!4ip>EMEWQR z>iB@ELHycruT{=*5dRw1Ns#QAKg(8Qf8ZKFl^LPAgWlyP@BFLnr1fvd@ps8DMp2=3 zv_WyrFtH7*ESZ~XNV~Jo&Jo6{S6d<=Gzbin7D5oKrY(9GU?Ev~aQC0WISA-^LwGUa z9PF%?6POo_<_Q$V?OjKHHo@|9WITWGV`KT-s~rM!UzomY+Obljn{M6MaDsqCaz*KW zgjAH&KfqsyfHgM-U6B;yB66}EmI;(wFZ8XUcfg@?xYynXweQv@KQ4Ok`i|KH{Q?dL zc?m#k7^FKNzK;|&ST&WK6B(Qq(d2A!(M;7RnaQrrYdJ~rZAwbnZQf(iPUf=_0OxJ5 z=oIWDRxVeA#tie(Z>{&$csEQ;80LW0w|(~=a&KdIBY(UC(2yj@K!7FbMnglt9O$}w zUiY4xFI(jLRZV=_Va0pZqbNj+k$hA9WS_BPd0uy{K(TqaXjs!J|3f&Iyx-?<2}Bv% z#0DwmUgqn8dc zo=z@@C8D7=>yUnHN^z~VGdZF6zCmrLq>ne$X7`tbKOA#3;dp`(JwZ0q3t+LophOuA z*GR+Wa724Z*E>I1&Z;Ewww%I_cR%kb^Z9}<-&J3^g8%V|@8Vqt7VIjV>s8n{^2{OW z9a>q*WIK{F5MCY@=wx^LgN{UuM0X7o{jJ_AOi&&%|LxkTXa`$wNoT>WsUktFgy zI=WOS*~i)5o23-+hyHRx`A3q3l47yv)0@3>#*=l-P3H~OkJTimnL6}o#A`N==v~qJ z_2u-06NeH;FQirPahU;`2Er}e*H(c--tHmoT>qa0WvyHDjeU*5!kFHqd|Ah2?HcC8 zBglzESHeGQYiHR-#^; z0vjHHy5+e)V8w@Ha8LvzhCjC^u!h^bc6Pb7FWOF-RR5QvubB^-?*se)d(yA@N0mL3 z$VyMk?*+nRA3IYKvgGt}9bw_(KIAydzB4?OtodXoqiog_eYYt-yv|>;Z921ClhOfZ z2Ic$*P{qs|aIwrHrrEG9Bs}lYVP-J+7i((HSoz!Ikf%;1_U_RhulAK^PhcyV7J~~S#vmvaYfxnkfBT>`lWbzUikD1_jZ+rkhto_T- zG+K*4`csZ2eo0H5aa*z_q(-7F%olGOYmqY#*F+;%puF12+?x2%`rgfXFCs%;wI(jY z%3eRB9J<6gOd>Sb@P5xk)bMeNPV0WhzG<8}#z+hWcg6&FTHFune`M{|T6~;z7=rY_ z**B$LePWb`>EH&2lgvkx{876D?jmPF`x5K8-4}zs+y)#WV4{g{*Lbx{t|mXJ%`arg zuWet*;J&u(5Mg%Pp#))L;{BadS6bDcYzq|`N&k{BT6*wo`r-FF)K2hhTj(LnBwq21 z!8-rJx_v_XnQClkrSKLkiyI>CrI+&uV)h;d=#6{>ZY=M&1N>%#XC zEWpPYAD$ZmO?$1z_0AbYxP|Jj3wF*FhiRU)hYnH3Wk#ab+FiAi-<7P5oRgLos5AEb z^qOvypF=l$qV|Zic8|TQx9eh_nopG1XvxhIy}9IMMfR83_9Z&BATQOw9>ZW?5*D zgS^;@lGZdsbx>?bIUSHtD5R)+9AO`U4mvsFk-Nj8?uD^l9rJF+y^-mjp7jqOaqhcT zz~7lx425kF7I*4EqdS*D(uONxUw&SVL;96tqL=fj;~d|j#3(I9dFsH74EkNv58h*A;!z%M^YngPWqnuxQ%O&PfHMJ@WXql3_c#QQ2n?YcK&P#H<2 zuly40>gslfM7dJm+J?X(gK#v!nm}dYI!rgJOh9A@1%e#xU@#HYnysIOF7a{3Bkw{B zRLr9FeIn=e;WR=UB0UsPfI|KPAth#s1KQ8jww-u-1e1E;7lqu2BL~IrBZQwp zYA~Q0jN~-wN{4(b7$GCIX6vu=NctiwmIP#aYEs7=Tp_fti3<7h^n8>sk|)Ov;r_|b zF*{p&J_c(5)C{mmR)99&ipJXN>5C@uq!<^`QgeH1DHaE$zo2$=|F5SNv(Y%YrW?&F zra1g{2{*^X|A+)V9JZ5)>K!TscxEJRtqT`d`C=inJ!8=Z9Mq-NFy*0>A1r1y2m40J@xJ@TD-z22xE@gsyCu3_=tmyBGt)ztFv^2gqUB zuZOFE$MHg#nT9a*SjBz+N1!=*Cga{kdpN zzU_QA5-+0s~U;Ud<`CP@qvze8(26RuW;v;k0 z3qX>HZ@j(($^n5EwfAhEy_hlT8`xv0`89|eaX;71^3aOT;wkSG$#ddZCM!dBF86+{ z(SJJYkdC_!N3opGhT2@k5cW0K$>PBZLxqQ{WSvNanafhzEOrU`Ag9xvCaqzZ-wP!;)4wST-y!xNY zfN{w^c3TxVvV42rl>>%FA^p45c}5*J&tNlThibWI@7|wx`}nF{)N@Day1%*C<(gB~ zwmPTq8aFh&-@mr6-p9P$H^q*74&J5JX!BkgZBU zx2@>vIyyP{=)HMg6YY@YvfPbht{fn|UQl>0xmAqho#|7i4*Kx$lgheTVte$`k=hjC z5;%_rcsm~Z_Ws6uH^3dGN)(+nn;!^GF^a@#idFpa)|&XFmvfHQB@WVYHla2(t2s}^ zAjSE14W?;R1_FDZ`)0l;y1dv~*ZS$0$+U!>=Oh0TFaGExjAuikRXchta)>S`9sqU> zl)m_MR;B8_q9ECoTEx(&)-=!+vR%J2JQ&-c{>;YB_z>7*@n$WL725f2SR9q0i&^;->XQ%vg#!n-iR)L(O&U7*p;?ih zYO&a+aybq>(sdCA)c!u9#{QwvZ=5rEKR#c0F~s_*zWlA#JT6)&WQ&@?AOe?_V{EUE z9)ZrFlxF?VCnYGMBVzTS=8vJq9g)v=vW}=d64|uy3@-^&Z*%v7UyY8!Xlr}tI8Go^ z{ajb~ozvs6Mo@KENyhpZCe}l(V+`1$W0iwUZ&0^Mtr$*G$ij7(ZaqDpsLg>Dj0rdC z`lMOGy*()-&O&#&_1p`Pkn0we^D7ML%{}%uaz5iv=e`7#%m&2{cUG3k1J)_)lEjBe zjvjXQ9H;ts1`mGtkTo%dea-7krXBr3PRqET6iXeez-V-LUVC9v1VdT<)%+%x!C{x? z>&?6uFBdjiM0NCh$s4@1RiW>S`;r)wv)rX3DM)lAUh$z*yKck}VHM>tQx3WdKr_a= zg)f0=x99E9Jz$as0nJ%Bllc7^3&o|nIu|*fLzXsj?>Fzof zd^dVZLtML;@a(K2y>mt5w`KU6+MJbK>gsVnk{_!2gn#?BIaE8^$6pw9Y^OnwFdL-s z%U>_`4pc^=O#L#<7Fm@z!f>dQ^QlI|q#N5FN5KkRrPRLoCe*xDlxd?^+~hm z{6llD&auiHd@kAnZr-=Z{cZy6p!@y3x5#NWcUMM2-zDo+0oo(*L9E47UKJUSwA~kM z`Rv@W-iw}MeUQqD4*-G^fr^0d~Q1qiW zenUv0B+|t4D0AGRcz>VK?^b&x9<0s+?y7rDY7;ludsQtZ$z|(cdX}@^vFF1t8N2*v z^odhZ293v*^nIjgv{ zruIDhHJy9t931i7%6sK^!{{@8!CC~X)18rGT=(k73tZ1{rG@+qQ zCF#$o-FhdS8OYezIp}ZlyVR;#Ki#IjC+S8==6j*~@?~NCSw-&Whv*Rg^vlf+JFu2? zXI22Wy*dU2P~U}-&j&{=ta$gbc_D7~sSKe|e)nIFzqC7=W+W%9J?l#DyG8xQ)(^|Wq6WLZseQllK);>&5Zq97I)d+u z5W}?Kc5`|g@9Nwqho9W%xlAAZ(w^-Yl;CVGs%4c6OByuY_?c}_j!oq}J)iPz3eKaj z=}q?sV=tjGm}&Z_t&ddiqO0ns2wb|YUM+l3@>tC=P*~XfW#5qAgQA1_{wRk552=3i zJGAW%m%CJ2B&m*0R*z#nbW-sxKhzJ+d^yJ~C)3)@xcW^-E`+4Z;M{6RC@bd~ePI}w zZ5y4{w2*Pk!^ld*M@o+0K@LgtZCMQh->vVn>nim4PVRSFX7mXJH`>IEU0)sZk{GPz z1)DKLF4q4)r(ItVN0K^{R@idFi-B> z-{{Sj9)6azsPs^cA;e1E!rQH5KH@(Y!gv!Y-@*5s`WT{V{?z@RAgZnWRVSJdGBBR8 ze3pGsIyj`hSD4GNM-}yVqxs+n&)i)Oeq#(0voc$Zm1f zNAh7iP0cjgb3zhS&hBhvl^+NY9(L4BHbB@45s1beI6AVz^lU0Ke9q{{mJjA1Y2;5i zSh=uieehdk>g%^);KVOGj+R`d*6!BjtRkXlQ{^HY{ER;34$sWZe`ftAcOA8F>fC%Q zd{dpW6u+zMy{g{8CCS7$r1dzHkA-uxM0uv!EAP(it^cWM&Y$X0x22-ChY(HY(_wb4q3=nHhmWhz@v`m+rzP0ZnGQei0wt$ zWI=B*Kko_7RyaQ&9B;t;D)bvN?i>X2he9@_@_q*m$vbB64#7gv`=SDvIc zB{^c%f8ITCb?(oil*KBWLe0#A5>$eVGD7U^?DDods=iX0!IY$J{cHvNM z{w$l@JJR;K?>&>X13%Z`$94}aR6RyU!LiWxM#9c|RzrGI!{r%uXaZ5YbNB8fa#)k7 zs8nymX|$1Z#b6e?9m2}dnc;!2ht<~D+HZl=QS_)zd}jUzSFW4nz|fRI#0(^I1=ymB zFC|55WNt@7-&b=&&>F3l-VpMO1R-P1K-NVVE~9AxEEjdSXU)c|8F>d1c~5-b5oO|G zTv7(}KF)#fdrR&#Lb3+;hCzN$xm-?`>XUs&OQsZrq*Qes@z`eGTN)${$XM-;9)6s% zuFZxW_#44Px5Z>iuhd zrF^KCy9b(|HFQt$G11m{=ey5R3fyFla*Dx%r*-*D>mP=HRWK^Qs(GiTwlp-O;`oEN z^ZB-Y{`Kz9esR=<&oZz62S<mcC8-o_d~*SkL`#62XVG@kO+jslRXij0gw8AB8Ic8J-QN zNvQ;)o2+Wm@>g2v0Iw1v)PaTOQZEuXA#ozY!x7{GorY)i2mh65SiYxMFX|M|UVxA4 zRoS_@bFrdoLihv3D*n2-qsmu!bBP9t^Qhq!#T^ev*Gd4czamrxY+{Wg-}epG*771H zp+atxrYAo^q@>ysQ9t|tCI`q&gMCK?9Es@GVVd4Eghac&yu7GlY)Fi$jDxYXq^omC z0}X3~Sat7}?5VghQk?~FHFOD~7t;LYK``*1hXDZ1oj}RJho(3v=&d1@m+)z?ZJp~4 z9s)qZwen9DXzJ*S`ZXXsK0XylH-T$6ZR!>3o0#Nv2jB>=cdP)?T9z3R8JQV8_SYq z8&0by3?P<<#rjAJHv%Pvq&jAWRJoK1cWxz~Bj9G2OqXd>sk_kvYs`r0u_ispjN9e) z%lr+fzxCd_7F{2eto&Xj=i6nf5!e_$A5~Z)G-GlyUW4(d-K`CZih#3;`ZmC0NP&@hF7(zNDN>HA|Ax>at+FW$XxLnFe}} zvu62M-Opp3G(10HZ-$7|uPBu(aMYBpNzd!3ZEz-jy^_)~y5ytzw&m?fbYRw@i>}PT@+Fu$X-JMn(Qt|3R@;|-V}gVQ5&3HG zOFgvn;KBdX-jzl*eXr>t)6#JPX>CP?Ai{0Ydj<5e$R;RO)GFYH3IvT5L{>HI5Cl=6 zSH-nrL0JX`Q3JF>6fgwE7A?Cu2?`-7n;L<6UU1ILhq-6Ye3~zl4{}aS{`oJz z-@81|`#$d>`+671G$Y98h5YceO%4wHXw@zIU}~m{J$M+;@eBPHLJN@sk&`$W zy{Cved1IoFZoqN6*tH37IHsPXrBhxQY85&9evEYJpl!y|M)sD0e1Jb)Ux zX(9twHhPIMMIkB(JiAZwULMllVCeU4d-SQO~k|6r@uFtbY< zrKy9;{mI=0u%Et$Yii8R5UU(liZL~YW;m7#LL9IZqfrvH$HK~kqgX5P`6&@^Xux!uSe*61bJU?e4QuXAAKQ? zDTIsXaSO1QaDPtqRRK{KMf-?O*LaQI%-ps_7I6ZhQDN}RJRYye#|3pvgIvJti}u!y zC0D&{_0df+Q58$uHVuwiR#&3kq~3sq$XoPW02S*KF~=mmj>kk zUXK**T=FxCE8+Rl^gfwnKc`qGF2Pey8ik_XK}oJkir@-xOicV+b5^f3fWv0%l#xs{ z()WW7B4`L=CJ$UPw-;UW6a@5{boBj_p8cv!*oC)2m-x*(V}sZ7bdK<)F3F2qxS(5A zgGIEE{+vaNV03}QpTd%+$tENVa8?hegDr$r3NDK}Nvo?*_SqlP(n)*j4M#+yj8CXygRDBzw^WV z6CPUx4F?2z++=h7ZtpPG18E4J>AD353+oa*g5sGy$6+`zkuc2QC~O7M?4Fw7G8|N0 z-M>*w9q^)18qUSN1O@h6OJA9kgLzJ1c+tQJ1F9YAHnUgSRs|2Y=4hq{)JQHahEKb5 zM*~ZRs6v*uKJFSORP4oFg*QacD4)xl#we`QB&9m9cN)JQ-dV&o=!>p#?3np0KjDG^ zqh+!hyn}{r?XLT{xjt&c_(7Yw25yPCds8ul%iu<}$S|fl&-_m)@P!V|Iedu#YxmH% zmRv$-((7zSBskT)ERf;r&tBoFI8rEZ=+N6Uo4-=Ea2ySYjpndw#)5Hre9`FJDnt7R zaViGP+xf64{W&cnst11dj!0@)ACR2Z^@+al7pQ|csMoKKmQ{EgBV)eGcExAwYHa-w zQX2{|G$^3G;=2eYnX%X-lLE_p5}-`q(`7xNlX*rKWsV zO|ZXw8FSg)bdJrKh78_F!@XuPz}E*Rj1>-Wb2CrMVoAq!##{poHILHMwDeoeyXOL^ z14bn=Z1!H}mG1`Fsn`fpnEVttlv?S`DU6Hj`SHi2GU=95rH>~Um_f^u+N6>in0&P& z_rHDP0oa>tW0c08fPnrp9W7#C3-6x0V&yL?-kFQph2ZrwcEej?iKLwhqcQi>kA13K zp+8XZloxt2jH)M3610St5+;z-B1QNL=;#~V4aLYt`BnMh35B}OQy-`!_w|1G0VvL> zlm49eh@coGj?jb+dvRxf?Vtc(1VaHlnTjsDWSYi)c_`NyaV@P3KC5@?@)Dg%D9JKj z%MjDAz}wQ)cm&vMiX8vW$ocBmagCP1rph>xow z<_GQ8IIsttOp|%v?K(3=E%~>*?*>Y9kU|(FA9phtZGK;o@QQ<_U{wp-g1b(pa*Dv2 z@=eR(L|g_4bJz3dNT06$d#25SSAn?hI_Tl`x(p}oEBL^T#c94AKb4QYilR_ zIQfJ*!wvtw_h6k9f8N@W57Pz?TFi4-tjKNZWqo!}mI97L5RF!Jmx>a#tnRJvP}FCd z+CIF~y84w8UsBNXG6ZA;7C&Gg%6+!vT0O4F2!HaTv$H`rByBfEflGcaxxR0w%|6Sv zZPQRulQVAx3LO%|1{MyW(1Xf800v_QI!rPt(kQc3zy|ldn`n3UwY~|C{q^hDc@rxE z>tmPmdb58Dcnz#u0An!^mrT?*)#r}8TGiNLyF=|{+QAgGUb zKC8!@@esH&xL?a74?z?*%_#6H$l1};L38izUd4_Vus;ew{}shIPHkPQXa5*)8_6h{ zo3*6x>)DfOh5-OioT}_j!#RwM4-Yi#oiD0uN$Ot4y{P*Y;>oyMa8OhxLSDvVHeC*` z3biq)I)PPPW~}CA){eboa{Gh(qO1=#v)_XiU%Tfd8ZGqCE{oqnas!!UV&b#r(URC$QBKOLve$IJEa zi7HzV-d1eSZ=wgP<)~z`4p&a)B*+x&di!6vrWKeK%Tg%j6yF`#~ zZIY@ZG8zeDegksPI>x^!&jX5F+1uXzcFFigI$B`4{(C5ubaEMKFI0}v9Yph zEpKgY&6Bq?y|gdL?gd&_9?D@KG$Vjhcq2}A83HC~Tnc66a=WPZ>*ZqudbKCt>u{R=QxkDS~^S;Y>LVn7({ zTRfR_@+A_gQAzCC6euMd&dTp%U#`^=`7Z_VTokxSHAm$`MdtGW;W_XF>(rhns_68* zc=01La_bREX>h&z40lL8v2y;EL~|tB-+8B*otlw0dI-0-Qgzee)7)ZL+e;wbtPNA7 zp{2+KJ$yC(s4GtIj>glYaq)7_j&7Yy zHK|Z$eyeGuAk-uBTI;5TLV+|m$1WyNGQO&b3@-eH%J@vNox;IpVq~*Q$O7k5FcPMB z{Fs*N>TulF+S~U;_7qD_OJL@pA#?C6wn7fkDVvdZ9c7Y{*RjH6_$g8JU0}?v!U@=6 zjW?T)<;%<))coxxXDZs z#j!VR_FDIjf~&K7gs-sTZo!Iz;o#{AQ!BE~hy_4^&9RPbeC#F-5KH`vvjql6Q|AtW zuWoC&bq7jcP%gn4P|Pg0D`p9!xs@l6fH|~}e+vm?|KV@Q@<+^fzJLVIA0F8qaw;sF zrk7QujxD>W+&|p3JMgo6WSD0czb{4Mqh-AAZXoC=_IocSX>~Z>Lhe>l^@m@Yio(fT zuzY!qK5(|7m&L#y0wlp}tirr;qv^^+xOMoK6s#%gKDL@&*V%+98woC)XK5KciL}dD ztRcXN!Dl_b?v-FQ#C{i6hALlZf85ii$Xz-#^Gpk2DlFAu=JHoOjq2RZDpMbPh?}w)0q1LIpYz z@LQ*%I=Ul(`4Ym-Rb7gtFiDzF_Z~kAaK#tTRBJftxwOpydO%NW;UKbd!?_>s^d4^q z{Ah-05r_wr1LXyI=D_4#n%Wsg*9phWlIB`5G@WjRVzTW1;jn;_>jJ2gAxMfHuD*#9 zIXF?AZ@0`M#(0w}r%-O1K00FFruO0K*c6vQSekDO0Bw={n)$Ty0Kv)9?SLews`*eH zFS{luK6>a&?=s=8Cicoq$))6eG(Gsv(v8Ln#&sc#W4`K?K>R0kCa5Ad9>?6>GS)bkjDDkbOjp0+3hUb<-f?p)v=<@&pjlmX>uRScrr z%o*iAb~mS!SRw8c5+0=0FwPl2Wc~oq?pi`wR~V93Bo40rR7GsmV)!nv(dSL8Z@z3^ zn*ACYY8sKQY_tVo#sLNbC#0uV=GOP|g)V~Eg67S}h|++Q0jSkA+K6zUMDT}(hCJl4 z2&(wm#V{za0pz8xoB+!7N5*mVm!E|&6yoC|7psZEm5^d%`()8?!Wu^P$AgRI$zp zxs;mm^7LLNW9>p_4lr=`POz{JyG!I9`#u|!V{MpA?H@8HmWl0 zA5DhjYd0gT1yVxIX;d+tmd#XZ@e|2^iv8=H>1XtQBIQ7hc~~e5poMb zPqm5=CQrToS2KzJ|FDdIHbW2FZR+(utEv3=q9gxT_f~!4aJ8wUXULr3g>(Vyzjs)Z Jw|dW!e+L>Uxq<)y literal 113696 zcmeFZc{rQ-`!<}m)9Q3#Obu$CL92_RLu*f_9je-*+q9^nwA8-uu}qCY6@yV~OIs~% z(b(6-Qd?C?Nl`-VVv8UMBFS^zI^Xa2_j{iAINtYny#GFqV>BbleSg;LIDF79)git|uZj_LYeUs%B=kH__f ziN4m6;Z9Br)S2_s+t#}YXr7~8B+Oab|nCsxAj9CX!7U#=QS$&mu-^&ygvKyS2F+i<<^+|-*Nc5H2$}7 z2;CWf&-AY8X@>IF+o7J9wn>JDyRqg6O>W=L@D<&g)p@_M)UkI`viW_78Nuyw`x0l8 zxF0@T=kNKfcXnk`@*7m%+qdV+DKU|eXPnNW|se| zcQ!uT{)N4mL4vMgax{EUTwFX}t~JW~;BSxbEl#Gno_l=HT^OBhtU^7PCD?Aud_o&< zjuF3-e?vC8&9GD_a&6B0CcZc8>gz{X?$j(!-=os}^X$s&meXy_2ARxgTklLGvZ`7B z4JTLEmMr}^nYNR;&(v5P z5gP5t(26I~NanZ3QoUmf-fMijobi(InnG{puvuAyF8Zn2Z0mL!v#_k}^lG59M7P7K ze!7pBX2vzg9Vv=Cy->pM!uN_8O;i{pG*YS5c#5i6%&Y6i;^hpSoSbwEO&*ymikLob zf@VE8%SVRFx=<9lczsmj#<8U5-41%X3YR)(j^qfsmYT)n=jTIb9~i*bl9G}lBfs?Z zMfp_gkZFG~?>Raif73lP%!2PbIy$ zB)2P&1fsnZQ@i~&+lndzSuQ1J`7kIh0~LbnSoDn>H(-$J*K;fh_-==sfcTv#D+?IF z0b-z9kwP>y89oF9h+gAr5x%*F#z|xKZ!MP{J~bdy-=zmGX53-dKMH+N~}OWo0#ZFT8%I( zC4lqZIj!AR$splcNXItRquqV_JlshDiI2 z_8?C}jCIzD_u$dqpHOv0N0Qs1*|BpUwdaO?X=6(Z{-xemi#r5`Psxv9wP5fIP38_6 zbWx~ODSzBZtmfF{-!OQ{h*=c(Nu*QwYcLZrZe`~CP$|XSe%p3i6(1iTYgbpL0G#(y z>XaRP*p1NO`DqvNxu zUt<+fsE=2(IwQBXw&!?hvw)HB0NuyN+1dG7f9hjX+V1GbiEcH>rt7@FuSZ-7#*v|h zt!-{Sdh_PZvHns=WPQE7dQ>dt+(3o9Y*~3ZQGR4!@h(l2XRl@SE6X+XYscQVP0h{C z&-A`1w2i_y1W$7N&kee$-MD#EcC`2#D>Fy+m-b@0xw-BPDly3NlgNrqKh8gvaRSa?ImMKp7NgwuYGufZpiq6<&!r;d%dTd82q;gsKD_W}3C2&1g$r0OP|0&IhVkbv4+YDI+Go$Tx zM_p%dmWL~C%d4uy23>p?0&~b3t2$++r9TXDSIfs%dM)Fy=vw^!+S1ZfQ!iZhd#T@2 zY}Z1eQfvi2!+xqXpMNh$=)6Bi36_9e3VZ8?z2;)_A`K?!N^W<@rICB7i>o-coWUrS z7znGby1JUdn(f8o)cO4~VJ)**6G(9IP)wchuj;(7`|NVcl+5KuJK9@HxvM_RQ~=TC zk8LQo!_F=){O5i)etsjDK0A(uyzpyuf3ef7>PJm|lRwhG>9|1s43QLi?{X`*yIB(> zv?n}h=W+lscrGs@F|#eS$##z~YI43aOCO0=2c&ZbT?Dd2wLVNv+Uh<+OZK1PWWL~7 z49j=lSGD%_^>t`kBcE>f%k7@A+QW;9iHSc@c=lNVo^Rp#C5`>$tyrId#QOO-bIs|U zt=!Mg$ZMBiSR!C$mAejQ`tgG0n`;!>R%5=$-Mm%T3M*gf zjeF$j4rO1{#~FSf3c3BdEivg%-Nr^e_J|UhBSU%tJHeq;b9Lhi^XGQIVuff3 z%k_*gVY+695d{7(6w0m02hx`)|Abf=#gLQZFGTb*XMn3kxfFQ{JO%eg1kU9Uv4Pc>Q&ucFY;RS!xXo!3*Q`$hDs z*Lc!8uE&1cW{m_eEs^#m?ZMi=x^RLvU8S?sfZ6=W$OEM8?I>jd&Zr4*=;~`B2skz( z8T>9h!t+%H%J%Frg$YB>>>~(F02pAZ3s)Iln(ScA7gIiU%%flUhA+(;4_e@R^^aK# z$ag2M%IH)Ky>QH58ABh>KIod;-LDqjqiXw8=)Io-0X&CQ;h!mmW?j$ij_Mtq_1)cd za5u_CI8o?@yyS11F#d}frG(d)kLVID;>_|-`_R(EvgQO7MYg3&@0qHrEQFmWqG%pj zT3YHK@lI$Z$3^#DO8)tA zX|v!y?YSu~$Fp*v#+p4dGxLQUd0H&yeUZY4i6X%%l-oZ4b?X4CZ;C-puY|%M7)JHL z)&LO34NV`@XC*El5xO+OPfOXZ>81$T^VN-9!A0V9O$+P^B#;$WRaLo;D=^6pr3hAl z=x)yr`*zi!<{JT)k92uCHZ{AjvhpD8&9n-Rsb&nUmb+>$11bIPqy$yNEVKOP{(iH( zyu3!hD2F#Hedwus|GIb=nKo^a_A%|-x!tQA3&0`QkHsvT4$*x8V*y6H_3FwdsvvTF zB03jiRyYAL(Dy*;Q_$s@0B`r0pi9pPb?e$9q?uyFts zOhu^^d{mg8(5hFE_b@mzq3-8_>Y#z`0WYsUxi9wG|A`L)dLO8m$=W<67IP%&0)+UV zD}Dh)bU0HnB))_~uWt&4T?b%7-VCqQR`k-(T=+Kh6{ZTJcv$bmhYuJ2zVI?ikt=2U zpWY}40L;T^09Xm@oPrQF zKFy|`FeIDYx<&CF@~ku$if*d#XWByY1pIr;m3YcTBo7eS{nKd?H5Ra6&c^&`aTvnR zg_l=9JCxFDdY0C)ynV5kafYPcUi`(&jc0gt4|)He3j%z(E^=IH>IJ6+1h zAi-Tx5Viqmd|FM-27dC4%u#Nct!>Fe^^D6o8sts|ist>t8t=6G(+>GB^_4jJUkmvI zTTYRDlwdi27Ne{M0iY{zd8)H!NZz0*BJSj@(nxf{Tgvl8lD-UTjGVz_zqnVzb0fg! zkQ|M*^#=1YZV-?>&EjOr89?SeG9|eZa4|s+V2O>l_bG^>ur9-up4*wOe$@NjEPr+2 zn<5hh04L`FT>C0Ne~!_cAROpm`Y6uCE%~i2j1)3{hv^oOMnCHA?yjE`9kVD%omd~q z%ZNUFs@1>B0^b5#82RpyV-4nw%xEz~(6yGc`Y!17_BxrwWZb~>5SA#Hn^14znrdbUN)o%T5$6p0GKG70GM_uvMcz zyRvb$xkrWe5CLpC#98u)5`si?Mc-r2sGJ5dm|(4n zKf5Y)1_f6CX5clv`?F6u(@PXCXhSI{gT5u}7%$N~TXFqZ6ETowd*Gu`x-Ee(=RQ=F zU8<6^L{r6NK4J=h5*6}0rH8OdBTpD4z^;~M)ksO5_{6x45r|%*GSc+4CpQ>$b}Z>kEYw%V-ck9cW!|3@Jpb@7Q9Hgg zKB1we@GJFih+F20`Vb?{@`dwn90#B-l07BxF?qXY!DplXHqP)#TVjV88zAVpM((@m z=jwCbKq9~xC~j&F1~DVm+KQqw$sEKJKr# zm_e!pN1m!7E66nUMUFO^%zI9(s?wyLKX>!>b!!`&v5)4%PxJ_UaTz3Xwf_-Eoor0=C6GCfB>iuV-QRm_g2Ln)ic2hf=73Oe`&N_SK20HwlSG zEg^0(_%M;l$wO^LLBuyucQ@jRBYVRWjr7}{1}ofch8TPp{SDjoV6BU^=l@mAGzI{P3N}_J0&D50;F`lL49Z_1amC#`3!aaz+4?KhiWp4n&nm{DHrgA_lS z*1VnZ?owIYR}aHvhv%t8E%!&Lg1qsGHalnM6OfXzXlaPc+AE{$dHtFvvc`AYRT8hf zPb8Hw|5lTn8|ZW>6}A=Tvnmt%^!v+Gbnl)7xy2@|QIUeUwurnxfA*960`ks$d(ncp zl~=?d_Ue--7H*FhYq%S;`dsvzFcR%~p5dv1L`{Q)D5V9RfaUu`jN`|T%Rh`>_oJp_ zi?OvCrJkKoX$qdK*j-XngI=Xw4B7bPQAxnJhh4k2z0Uuzk|jFn!l8cp>ZNmGq@sM& z)Rn5i=mMh(?R6(DSAQ~Wauz4JV8?DZw0Wv83Y9Zq#i(=7@z<*8NVS+}s-*vzF>c*j z-#8<;vv=f5JYV9POS!m!ly)R=E>Urqi^Z|NPn7)bnU*m|8|z;#wcEs9;HXTV)Z1$}l1cJ$-w7-$QYoZ4^E=*L0;{am4Ua7%(6YTEE&B;k=`xP))iRo&W ze$xm91O?f6+@lf@#{uGvxIoK}C5}%|hn`@uma#sTvAx4Uad^LUE>xw8OF8y4)>5cH z2-qjU-yv|{y3lW?ZAW`i{@6zu{S>>v;vbFClnxu}G9jgEaQ><#X?tcCU%?9*>xD$Q z)-P<4=%%0+;6pURkKkNgUGd3n6RV{d2F_fumqMYW_1P#Z;79_a$fjCThZM)2zgFCr zzGl+U^1636qB+nEL&oZK$WljYliDVtY%tSoY(M1MoK@}p(m9upTsrxoGb6|I3eh4Y zJHtRin*=~9CE%jkV z&_=vKqe2t&H)XLZxe|9Q=%j3)0Mqn~HyRX-ljgc@51CvQ4*%pf61r*H@=zNlDFx4V<|@i7@j@&QDu zE{2my42p18YwsP?9+jLg)ynVfx#K87>ZEK07TTyu0=>w?AGZyIE%(Y<1Ur1e0 zX&#&%HsKB=GSsU8B=+|9yh5lUMd2crV^3Dlw|HST>eeGHrA zkOkjRahAHeR=o^CBq#pzik7f0_Oyc!RYa=;(Fy>}0712O_P0hZ^H(%3`L3}QaJyWM z`(~1*5c?I{c8Q?34HEze-{w33GP+#;*nNHM>SoN(OHkXzIR3ZhHsDLKXpH+uK2{rz z39BOl8CWJ^+P`@{A@N?HN)(qFU~)Rm@R~2F?nRbB+|TKeXuk!kISv~iCubnMbk-1n z74R8QoRIPa%g+B9Z8rAS)z=M&RE0w{PD{@9V}_i?gHk&&t&ZgsI=}UWguBmM!dsVz zNNH(l2c&HT_4PhdUeK~k({mUDl`4yixSS9P$z0Sg7QsD(Ro=(pVLL<=R&jE=?(HU41k`^Dk(nQaPB%<_Ap zBZDvyaAX;l3c@UUTH8cs^=%-*f%eER(9lhgJAg@!0GN1C0)P3)qf%F*h4kDle6O)Y z+m)8MNC0zG6E=h|408h$qs}%Ga|P;uPAhhVrfiT9PswN+Q`t*X1G)}Cmj+L6f`O-P!`xF;kw3z795b=n{vVt zU<)n3oEk96J4YYszpo0!2>q4{&7b%KRNi+@Z9lv^m~wZ9ItGy+!fo7F8Udm^1u5dV|$iSH9NI<%Lv4XDMOUd~ri=aLX@!DE|XVtb1E90h99s8znn`_vz> zq4rwp)*3Pa>sam=4wParLG8AlmW(To*k zT1@!j1arNRN`pnP&{zDP7GYX`Du&sq&_QmH-Pf#>1DxVM+pY!b&QL~tGERrXxI*60 zm|;^CC^K5qzGM&pik*xzKOV8oP|FzCq2QA8U}>I8>tEQ%Pxcd#NIz5Wc(6kl%AMEy zjMoDeXs?ufIZEd_N++QS5y2X>A>XEXX`X2I?EluBx7Qz$fi8OU{BgGKc{g%bAcqD* zv;%z!w|-RzTlfm(Cgg9kv$Oi>U3@vWVLs82HeX-PY~FlvxJWQUl1N^?ezW-DZDZTp*i`;0hS_e`mp;S>@r zj_3-?LD=hiiE<~Cv6ZXWSKw5YW>KI0n5rsd|K<1_KWWAJ&EHN9Ok9fA{P9rV0ktqjF$) zaa#Ta`Sd`8CP;D)rDiZb)qpt$bGseFYE8@C-6aX%d4F+SQq6222mfn$fV&S-5=9H- ze#uX&Qwkb6PT?dv-#?5FT&i2eT{x^bo_rFOZkoJ)y0~t z|6R1w+{H2vCXgglB_Fj?!0dO|SgCjZy~zU+rMFud00DEq)GTZW1VeyHpyXV^_k!Sy zY_hwi!e2ELV8njyy?lYJ3he;8@jO`-*e6hIO>CV1L{jsyq%VVm04`%7gkX|n1um%AR`p&IK zH2rnYRNHUiN7$RdAen>!Eux3U#R1M(yOa`dnwfKJOUu@WWHUH8c;;3w-cnkd0TLZl z}z$JZyLLhSf<>HZD#8X&isAZ`e0SeOMi81K`&o_A@S{ zP{SV+lNJf! zY#=JrWwv!B=*LMJ2ATPR!Vxz$j5S~$CjU+pszcjfBRy#8E=qa3qzQ0@rgr;9Z-M*-3^HO#*lMrGU-COb zffJC+E8g`e7ow}KEV6*ogI?ItujtonFFD7`t<2ZNpJ}%?EL5A zYmZLB+XWyY+Nbgd`#S81y$Xe?;WfvqZK%4x-?xo8A=hAS)kpG4_xft&ZY%i?9|1<= zs~qxCO9+KB*|X%KPJ#Xw;EoRbuEGFWi5-l;e$4aXH|l#~1%ZU34~2>E5frLGXnex0 ztTl0)73NySj*BB(^I*tn?Obl7A6=EXh>^O=@*wgP^ibhZ`Zsy zGEL4|Yzf(HS?qVjHvw-yDansQ{Q|n0AA`smjR>BK7#-C+{_3QLh7#Nk*i9Nym4UJn zw7`i||jTzmJUedutOsIsg(8K_wmFyY@dsJ&^J$7Xnnj>$V*_ey35fc=Qlg7m6-o$rk z$iR{l_uoSvEp2>(+%Wy|y^d>89&EW^P^f32|9U0(KY1zWZcp8YO8+z2BH$=@u$Ju` zMu7{uQQyaGLs?-F>LOqyTx4{zJ&nn~1KycD=K`}crVU(~8&g?vqtcwL z5FtUq5E^4MQ3uUz{6CEUm!!8+U2W@y!pP}43ZWH`Y zD&DRV5>c8l=0_<=t*fBqf1+jZgM>MJ9lO*jzeo*aGzBtlhww?VU)?cQ^4C8NPm~It@9vve`I+ zoCQ;N={L-JZNQ2HVX;{}Kz)0G+gl5wSnu20(Z=X?IjTP`V{KBccKQLRlAcR;D5J1+ z);LyX$HnQF$rcZXHu8tW26owwB^sj-%JDFp4H&0wjxDb7RZ(zi&2x~ zq0+w zQ0YgL6>mR;)!Pi;P=lx%>UoyCuP*Pse@jj%)U|OKu6hl31>e$J%UxMp8;he!f@Eck zL&qS?!4XeHBEOXrp15kJ?Y|@k6RZh;$c7~tZGc>-)xRYxP`u!8G_1e1aLcuD*lK+^ zPG1FfeJNe`!33*S9;d6@2=g;3@h$2Rp0~aNe_2!5@%T^Zej;?=G?5wGvKv;wnuwtT?`Z$lMNviVTOqbhdVd#3)` z1>gPWmEiyLOF=}ra$DUrSUq!>5rQ2Zlf#?GlH`?)e|m05TpNvEB*6-i9)M^XdL=zP z-S@hO4GJZS+pekn7}JW5?eCBntJ&c$=i?#Z_+0;z$dw`6jP9nnct` zLl<=4`$OykG?uCLxHbTLP6V8jziT z#5OkvVI7)e5(HLM^Vdm5ZyX7prv)p@$Xs}t5d96xvj_^4K^N8&9%!2&iUp630R?~v zVVfaa{Dtr6nDHCn#!|C^V*rQ)jt|cmzU-rIMIfLef@4Jx+Xqx&sQ+XcA>hS$Ph;kY z{D|7&VG~;XD_0?8mvGCLnY3;xU~Stz~i;L>VvTU z6xUjvq%qv*1-;NL;LBhwn?d=~epvZ%0+1YVqpVK#B@JglJ)kX{i;!9cuR8fVHtF{45m4XW}+NnSjoqS2@V^zkS=hGTUq8>dJVs z_YQzopa_s9fv`BGWyQq@0DuEz0xOrz_+A$vY3G3lS>0L1{X3Q_4p~`biPq4HBmHSl zBXFFDg4y(6JqKal!BH`@vT=R>*N_{3z{UZ95B@BzPInklco)FBq|iq;xLH6-MpS30 z0U{%9@bb#y=br9BDPQAQEa%^t)s+RrpAl%hK4xAU9Q1;|L8P-*SIto-ZqO(w3uS?$ zwFu$tMZp??;waY82i!m4blB3Y|72e~wrVNBxkA^MEVk6f`2B9}mj*pQPhM^$Hw;z# zx++`W6XNVO2mURutV>mAF%o?0>bc`2QUXS)2Kw_AR6+}XjRSrd^dOr8y1|Nm8p}=_ zOtOeKEh^S~wkIE|5m*hrQ;uaO3g@0(j?B+LL9SHV4QUr;I|Ce77zIfBlqpdV&XB>& z|4aBR5W8!8#jrkCa&F`zn->`T`sFDoSRh`YyF5+uZy@sc3+IUFMSVkB4{mhx)m|aG zPoQ%504QOF&eFENzG_gjyr-~w32EcjzlH=rTmzg>BFTqXI3cT!XQ`MRr+tIRAgAmB zc@<%Szzubv9R)fFY`t>{axFeb7%f3y`-tkdt`hpR4VCg*&R|zm%L}ptEU=Kd_`HH6 zAXdD`4~@|ItF3xqe}lmmM1i7$+u*dkR?gBd`gj(!cEo+P^DQtpu;&yXffvoC6{iuM z{e-z{XDRwJbkK6+M?-S>!KOi_hXTHTYFy%>5n{2&)DG_Y`^)9gXr<;bK7mmX*B0S* zhn572e@cXL*kBK6GyV>0CaS%2Mm}hZXr_zvz>8sMo{FT-UNYDZvLe^0C6igA zHJ1wzyPj)<<4;DKF9#}`pVSbqzP|ML+RbB0QN77Kh64e)+Tk{z6yNRFaE1CXa&hk` zj{2m1g6PKj>hniWF{G_=kLE7_7IV%fkAo=E$A;@=D#3y`y!r}1Hge@KU*I4sa7<}5 z@HxhtU6C~?9&_&R3x}?i1E%I(;(jze*`Ds}r@QgW|6c8v*DJo>cm}jr6ySY-!?OiG1Gx-I|P4H-fquiu+T^+>8_B1u)0iVbB5Qh@@ zJP<=RbPl|Bz@B{h@k4W_@$5XP?4LMlh>7Eb|G} z8$R(Ut8GAvL9ZYof1X{5|2`LNk)zWz7$3+9z$r)ziL$|(KH9D}q<#8ZQjr2E{1Eu3 zDk(Q|yCE3J8sF@xMJa>f03n+@oldhjA<#JRe?k@pqe3hJ<<8kyvFjnt4&|8Tm$?#W zAUH!bommO+(v)na@bW?gU-Lw5x6pv>Z3TmbyLo%RjWFy)Z8K^UsKdA#w*M$EMUb}kY25aDH=L%OI9P}PHj z;kgB#anXYf>zQ@vOOy3t<;i~%%^1CWDA?uaYq{Olj*hcmqJLP&247Yn0K6`2z5Vj4 zMoBUjLMTinY|AJlRrK}w&)a}ifR8l`)_uW6)2n5$K#^ky>}y~q3JTJJ+gW>hdfM*% zvUOwtA)9SW^x%*Jgf`?VaIx3RUedt?0gKCGHKD~oE`aLlb;$F zhEImc`xVCoAGGN2ph_FBoHeSAaR(H)5-|9g4nDdBOvpLzCU(hgohg@{fsv+Fr28gp zU#mBoXZ|f`@Rd-Mt*wb51u^HL&IcC-N?DC#Puwt|Uy1TB?$hr4+<|z#Bto2N3Z3S>l+*veSEcH3|;1m|UCl*CQq# z-Va*_T#UMno`Fr$pW{ZX7GcY&$XJhOZYJh+dSAZ;&=Eqn*Z60jM7i0PAO46?GD`On ztGhGyNZCXv>(LQ7C;+EyV5DsH|CGoM*#>Gf;-~v;J`S!V5-H6e9REMe?+P z2!;5j?iicVQ`Rv1*3gqO;ys#ONnfb)vFmnQx{U9|Y3*5oY>sHtE?Jlp%dc8npq9~{ z!)YS!g6|96dwnt=lT)c1u2AFejyh%1@pFb$+2sB8L179kC&>+91m00PT`4J%q z9I*tKQFS0@VZ>HB`P~lLE_^7_#7+NA=Lu3)JVx4(i}lEwB*>p?H##VfKu4sMf%tSL zf*png&|^tKc#2*Wk8l-QZ#Dm6!UO7q`hFWeXRv$UFPU?b3AxT-)^JPiH|Qj@brxi; zvmGBu${UjFjUV4Ta9hsg1-n>bBW`+O*7iD77!Tn9K?^|Qcv8Dtmrkqa7rIZ5=1eta zf(oAJ_v}kW7EocO+bz*rTX7-{uQV7%LVrOhgi{d!;gB<4&5*QqW!!-ohkOW*-z!Ii zR*AmEp2>?~`M7ZNt$CCsr`u9;V3$=Pc*kIS!{HGXJ)-?3{~qIUaEmt1I_x)2KFzQ% z+4!~xz@1ETTN6YCgog(oDs1PjezWwq208RwP+2Rqotp{AU{8*~VG8N#wFb(5{4?}^ zK<-)8UanrLf6V!9>H>hI+Vqk5%d|cyPm|=bU#-tB_%MU%lGov|85EwdZ6M!5=thb) za59q`Q{`IUHHA+7Jn$LAE>dU2|uSV8=eHUiYnv(tMt=TO)<$iVCGar%J3 z6~-nB4V4qG@GT>B;l=fi2@iw_m>OcM{4#YP9fD9M3V(2~cR&Cg+8JuU{FGs7t{ycq zuGm&ox%`ahGhh=}cYjt1BK5gLP?8iL=)01gL4h@othfzV zPVef%?zk*Oj+8q7_R9Xae$hi*Zoo89YT}hKs)l2bJK0>&ijDDDAXX*UnTzA3v9xns zY>I&g)!^JymgktBLT21^%r&@Zf4b}$WS$XvadS3=gO`;V#dEuB#gY{@2Dd3xc~okf z?5zZcJDhxj`zO7)1K|xyg($`Czz8(;^xV+JKCWor*!~L`Jk0k!kz2<#hyQJ#dm~rA zM%gnRzP?xzMpBuXEexqW_rwSGiyqMevwHR{)VSt~<*sSqBtV8nGdwGGGCbbBmmf|- zfb&DGs|<8`#8wWl3Rn#y!}TEzrJo3ZPkx=*IZjG^;=>*A?Mg4V^pn=(oz#q$t%$%4 z0a-vg`Mr#cVuu#c;R}O|V71^$yWqoHziQZn45Z{Z_m^DjkM+~?P9Ok-%oP=P8!$&X zo9M59Qu~dM`g-b$n7!%a{XNNO7tNZ6fP2P{Vzu^PO`pDRFy!-G@K8g#f#W7x9&bwT zaC+an8z7J$>e2Xs5my%%G&6)l^ZwksVxO;tHrQ4>R5@IMtAULwy`hH6GElm(yz+i}f@gDIPk`F3IuHG6q!%ZWFhe3TJ1+yn8pY&SvI71qhW} zgn)FcHhsOGzA-Dk8t0qNb$rb;%Y4k`B#lFP;q)FChl$}Ev%od@dR4T>mtg@G2$;|p z(R*S3NOC7Y4n$PBZig7JN8~ADkh%3x+-yZl>LNrNIQ}?)p0XM}2}I2&dmaQ;a16#` ze;Rp3E9PkiTDWrVKxGa!fk!2Fe3@?gIObHBoQzS>u`^HsyN;9OS$~6XcG>8Ks~8%AStT(1nN#b&nt8WQZ_&JId@pA5%P5k+RTtyE{ zamMgxorO_Q8YeB$ikN9d$j=dO!Td?5AVTaOHX_CEgd#l#)28(F; zGxQulyEHq~?$3aNZ)%tsjAfbUtPBR$j`~c2IK<0hEOV225xi$Cc8FI|OMqF6#>cUi zI5CMd__JrHu%13CL09H0DE)|ikY~YCiRO@HaGRW!G&lVv$iyDWG@0bxD+tTs? zwIql)SSMhZ+6YW7QqNBZA3488bpw<~U?PxMM^A~X(Ih(zBN#U;&7}wtv4O#0+V!-& z2?Ihr`|J}q_7?)Q4LzufM?ejHylz-^zvDyGHzMC!0UI{#ztIYqgdM!m+I)pA=@W0I z{u=E!z%7I{Tv&*h48UsuV~G3%EkCne^$qtVaDia?Uj>}u3bviUv{!5l6YjdzTd6+- z2T%kWO{x~)L<8CQ3^{aL8o03d1{?^^e=2DL()yM1C^D#J+R{zki2?_4z;{wpQ-d#{ zgt)|AOpj1neZ=-$80};N+f=U?&h-Q{hkk!~$j}BO`U-1$rN;NCv5IIr0CJD`1LIgq zZib1`-zxl!f7z#TT!ZmyytyD{oTMGMY04$+Gt#0BQmOMlL^oN$Ji|ZrOwAcb_s{9R zYebbz&jo)vPlAO8TT7S^y9EySB5SFbUl_*8d-GioIU{53fK%NmVcAC?@HlB7Nm1X&2ezDli>;!GBCEV0HA1TX0qSU_enx ziHm0PqlQ%xQecr%%b|SzHJyV)aw|&xCQvDGrX7K0LWKzN3+9b|Ww%RwTnDR=D)Y(c zIv5^LJZ!QCo*+}sOZ|s`=|LcOZ7wvdwc<8gzy4Zi5CGi_;OlYZM2HOJ>Uhcuk2(~5 zr5_{=pq1iujE3L<4}@S~Ods7JS^n2(LObg|Lo41F&3%cd2tvlv1;bq4(V8Q4ps{|{ zFTfawaF~fyfg_hWCml1W z4>v7dQZ3;ZK0b#*M zi)A+82;IS$b7Pe)N0TlHx-T7_f*Cg1wP` z6S45S(;*1&kyNxd0{yP9$&^rFlfsEgC=IMgQ!5u=iV_!=n`aiLzodsYFU z4WT-aXIfajL7Wx8qCyMTH&bIrUVnn)+4}ucg=VdBx7FpXeLNTkiktEeB1*xlrHGX88T$>YxtF&&6OwuIiMX1}K9@MN^HNmB zMmZ{7tM;k$6jv(UNOLEvLkUsm57Q*$^uLAOix?XavkX)+ zt%P5OTkKV4qY6MRw2Or(~rD$2B&2SqYKrS*0mDOU07Q>`%f2hiq8wmafIlyavDJ21s zDI4vsJ&{&R)k3V=s^GxcnWqDcgNLw-x+2AiGIocPRTltKw&n*h@T_XyHiFaU|< z?NmDi{=}XguBu}CE?^p#9Sxj~kj@4>J+#f*+k55H=vqmC`-I08#bhX-W3~6_7?Kg} zUC7#DYY3Kui(omhPh=W($nHd4>PDO*;4C`3WmCeeg<&EQp96Rngb^|zT12UN%ljmQ zqCq(xonwq^MhroSuL7|$AQCdts?nM5TqeKkYls^y$OBsd9aow|_Q~u!Y)D2J9I!5m zu5h#=a9{q80S|Sktn|PCEWnK3GrIz#hddpo&q+$-L|{lYWIe=UNk+!PRtQE$hTCPianXJ8`L}9Tj}d!G$cWNr_?9b+$f8DL))O&Le9!-5f??u# zSi)+*W55V50rUyjs8lSo9U-V{WPr0mT;zZpuSu8cMi7|C#wr)o$HAs(kulJs9-dd}ayku6Uke-rv}#{eXp=EWuzN^}fHDJ_xUEw< z2zB|SM0~MNhyl;)ficq%P0Gx+N1lV>G7t$(2S4!(n|kf{F(XcY!3I0wL7lz~Da#1C zOMc~Um^0wq&pvZ|ZUgmKeHA?aLd}}jKZA1XA19%dL#m`9(jY&-AlvfmE8YL{aw`i$ z(r5y!#ad&_d5cO3oUujbSyjjGBEe?` zA%oiLB5Xsll4Wcyi^Zi5pN4yU{6I@g9#ab*k(UYNjUAAri4O%xSaRBjV&*t;^2eUG z{Rbj>OkCJ(2w4MIfSB`WpW%x%w1fGUb8E{y`L)eff}+Uj7-VfCV%SkwA)7cJ6IKWp ziY8RL(!b&_K#sNHFa+)a@3A=6;=VG|t)c%7e5Ux2+AdV+;`XtCxB9_>bh*yY&xC2os;#;YdBs9NuR}|_y(8(_XCT}XQ zS%C*QtZ^AUZiU;(yZ`36+frA#Y(@*BKzv-z|b>-yOJHthw5Z^Kh4yFGi@ZvfB`1b#ozJNv|Ehva5EFrd&ugSU2 z=_`0cx;xEb4aFhGMT?-7?)oP1|De>3zupGX+P8kTRQIh{k^hsIk&zd-;41-WbEuE` z$^jP)6F^7=-{RINc3o5gi80+5Y(JnMd|fC<2jEl4&yQc%IPyxSqfcla1Qh@2{P-d`Zwd{u#Tt_{^$sr2+_F7zI5q3_bm3k+fFIry5jyn%9~ zu+aT}Vc?gAzi0I&UB%r0xuwE`mx@ozw*dY7qwm?!Wx$Und$CvgGbRhc7Y^|`e!gMB z2mBZ6-4$PNgA%U4D)MQ|2yikbc2k{0H>$e9Ql)&I9$-q5=Xk)ge7XvOXRsOyBUg}S z3&H=4{HUL}cpKrp1O<^NV05i=WEk))FX3!t?0JEY@5vg!M4L+t4G!ugRScIPi)ry1 zX64$~U+?yU)fZ|ZREoydW@dB|cBr3d$ja82JT$1Z3wJkl(Y{Qp-3B?J>sE~^+5}M^ zV0$?R-y+<+2n+D5o`~4KQFQ}f4XYQmwg*+L!NUa3v%w<6sbrIK2koVf8zcZsL=0=l z$#==zT3)@(Izj3d(gi5|$R#B^mq(7aL`0WoX;w_KwEHtwgP>T1Lq6x(+4h=Wc*E%b zOsf(3s_{th_k6vZnfletDgi-3C^p^L!>Q9blD%3C!U2H&9VRW<&9y~?v)140z#0x- z;0sZP=(=poQ$_S*S|r@os%&ek*1SCN)cC5lRAwwzO!kv;|2$#-S9sh3xGT2iopfm= zxZfQ}i?#mVn$tewZl541U>M&)vsD~`WCk1#Q9eCot0*Wg+39uoCOmfzYAM)A_+C3| zFsy&2koC5&HON|5a*fvo1mwGAZk2;tNS=kK55jc^6LInbV z!?w5*|8xM#b9h1!lIU;bo-nV5qB6CD9vm+P*DAKR-#bMsLHuM22OyR*lGi6ip*_g6RDicEQb?Owx1N ztp-jLd{H9cSR0op3&{g$X8_zVN+A-Kz!0*?1N}JktbMM&=7Rph^o|)cs9 zM+f8&9wLH^O;G;$f>H6H=|IHS17DpOf4%<9+Z@h|O7irhk{~#;xq9mlA7dsOp*ebI zTZBmnDKFa&eL7@2Rv z{9CyzcyHr?`Al$eQ}8olhl2H}n5?yUWZJ$gP>l8Lf6?|Oa5bjy`^PZMOlTUWBFebM&Wpb?@6kgwSuisR5(9WZN6N?HQ5;d4h&3x}# zjv2yzC-N(`Jrx0fYE?+!InvK&~y2?>e^?Nt_=O+c?gF?3)8=dN7trn8; zMT^l*u#_3^LQ8>}S8g{EzSI@cHFo8!8l+Vb`&q}NhI8FO?liH_PrimPTLX|RHse)+AVap>TKuWcUpN2$mq;lCt8 zs-UQdO8Y@HMgCiCrLyK}_*7U(jICTcrqnj?Zj18E$1%!zvppiT=t=oepGzrM+|xm_ z9Fy(}nM!1v;Xryh_A~TnedCUBsc10wvYT|{t>VV&Tf_YHnR5V|7ql7$FEt_fGhd9O z)cN)Zz^|r^{tEMKqItMMV<5A)O!$V#!XY zXQXYnzeQRV4rh&{u&vS87kYur>q}A9!I>4Fg7>g?CYFe1t||klc;i(sKDeA59X9If zLOU=q{#s$Zl$3X)B$Q)>Q2=Ce{nep+_RI0l6`~1=+|`RjZiA=?D*?vtVu?~H`M};H zZ-Si1N1o&mUsWIkBK%nAy)z?^(KZs$hmL2V#bs>>6{5Gw zOwWeQ3g%1Svq$?0`>?1h4YhGayC=VW=)md#y-#!$TqRZ1?03HZ^;_TDEXoSZq=NKZ zA03h@I37)lx~HBZIE0o19MqAm3{T!AOqyOFdqr%U%aeM9p%HFNs7{*AlWqKvbbj^#uO8YPw8d`mnFA`9ME|qY$ z{Ie>@dn^2AZ%P}caL+`zojV;FX#uZmz2JS8 zo+M7%KBa#YZKmcFYBM2xK}!&Ae5ZR+cZN#$y%fc+{7Az}Qq!s3CNJgcLw#^`_Wl2W zPh9(%9Sf-k5PTe)JKtC?vBO{EC7tnKeZcRItx5gH4deRlc*FrtHrs5{e=DKfWTGM` zn>`n6nq$oC0LjJYFqn9yi71OZZ{YP=59z}K{x?v- zfcN&H0))FI8{2(Uw2;J~d3^#Wt*lFz)bU4AijYX0kBbkzPfdvdMacfBHs4U^5a4IT zckP~*{7--Xj|c7j;Xt@*0CF|pTV1B7H1hTF^~MLl9ejkyFdvQ>NI1V5^bJEfSU~G>Y6CucWo=?vk1euZUteU5jP{+{9yPegoX~lT zHU{BW*$8^J;K*QC2D6^K@#K;SpFiZONZpZg;kZLHli(PQ!=P?n!&9;Urf(Jj$Lf4@ ztV2oshT6i=bhbwZ6pv{JSVA1$S=bm41-1tlA+x_Y@N-R0xzQNGy6-} zfxmChh9S(c%X-JK@(GYZve!Irl)vilkWjo8Vp(*?xwLk781)ftwY2=6)y3^|Lr6;1 z>|ND9P)k95O@G8hqDc{tEG-TVW6c4vIZKm=p#x)U3&~6BBKIG>F__6u984@6Sx7!P~ zE{mqTcexc3QCr^b=>XedU5I>;aXfldSJLs~%Mr-0W$B>>=uq}1S}AW2X9z*i~Aj8XBkttXk+U&Dl! z$$8gq-B;Nc-SH=>uZ9P9$jg5VqW3N37sqp}X;#K<)VfuUlBpugMD+eIGt}!7pO8ZP zP@H5|m0a1W9n!zImvLv^?g@{TRCH>sySeByj@L!_jMDS{1CpxTgZk&AjuE(jykusHV`ENZEFejO@ESmXnSrZ0^Z*Y>c=h((J zaTM>dLkjqCN!#4*W8H9wh{crXtMIya5%M5tE4ItbQrT37PqDfPeSt0%24if5u-t2m z{{nwct@-AeW4nE0?n)4d8+l@$9zWlZ)l7W(x4d0jZGdSHk7E^~wB<{1e=*pFG%bl8~72G zkd0#Sf|u$H7rXp_yz1CzjIN60IFlZhmtl-y!dRap&{3dp?}ibG>mui1yjD)MxIgVycDla@wAbmMp%>b-LDh*Bhx$Kw&{-izKjyxy=Z z1?b3o?Z~SCp=7UHp+3FB1tN%~uDUC5F@fX=T9LY>MMF5{p+^~IUgoBooA>-YygEZ& zB+~H{3&m|pT0k%K@6W3KVWrk*$pza+JTKEWfJ0DjHM$zB4HhEyP!K>@DZD+h%DFgLZk40H9U8w>l01V`vz>5jx>k1K;r!@5rA${*?i2nLU88h+g$n7l0P&jS8tQyMdmB1_9LcIxz)qp|11yY60kV+?jb)&5$nGQKU?m3J z`0Z{%Wtj@xaXe8yEYqc6{vdjM+r4P*9^A`N6-3h0$&wh}Tu(N*+dGsFQof7~Fuaon zOjtEKgro#TEe)y?%p&nBw`X%Ved*5_I9Aug<-`?bJ)JckT`a1uW(Ef5t8%~ZQ5Wjs z+)k5G67$N9Cx)&z>jSLWJ7yxyG=gTYs+J)FAFtH!aED66XK8K~-zf*Kd0l6#Ygl7W zy|zE~n-SO5xL5e>CHrP16vVyFa&=>{%yrIT%rMM^OD9lvaA>F|&G|h2HTk_GFUuU~ zCnW{;SWyus0-z)!rTLU_(FcHx+lh{Rhwqoi{In*k_b*z&1SF$FO7|X+Cg7eXZyI~w zKaMUEVFiuu)J|&?E?Ub652qd1$I2RPy(Cf7vlXPa*4_~UwB9jY#!B+ZT94@t2OOQW zoJ;_Ix~gNqz0>aNyDiRjn?u?Sl1acu_G>V_zWCmO9uFrq8wsE|i!0vlAjqrg4X7Y} zk4+kL^=S#iP#8xo)g6}@;e_IWP)P{k&wk#>Fe7GT!IhJN`-PptCCzBhySzO%{RV^@ z)Dn)A2o^6S00wmHh+)C);dRzKysnU7^NK$ZF_!9*DiYU#ps+Hz(V%$)mR^uP;hka>=@qdy6+V#%b0GzYjdiRM;3`l{zIgQtK+o(A zGFm9&ksP8AWn{pJ*cNKdp*5QEftq`00d7Hcj=imWC0`udITWMJ`d-52DNwN^Z&aGE z2c_oKIoer!BllbdRR^4DYII9$p-uSxm-X!3gNO3w51vt($mrRh4+Lv9tl@ZuAIBE_ zLoOjv42I(4AYb|aeFU};_-Zt zcX&U2+w*e`^`gu;A-Qvy^pAZ>icVc$qIjE(>5yKKU-U#p)Hn(WTg3dHMmP&0G%iKo z3#4>t@c_ZJ6)^|gJ=(Rm2pDE<3`wyV)gl=ZVEtY%t}}tSG4ve}Drs1wnr>;Tgn|w2 z;i_6)O|Dhe7q@J%z>Eti^VD%QjLKlOX8L_vGtlcdg4h1(b&(lEOlKEp6&=s3RIRJ+ zBJ`(Y$K{rvk(7Z-fmXoqrgT@*%Y94chRTVfMD60-jygNhy90rpc~vqMBs&}Z6xMGW zr>?*iLN#98*y|J_^h^_?YPF8pqA^XhyhTeuz3XQt*+CnpNx zexdi5r7F&-*whMVgnrMR;WCeu5yV-TzTOhbAh@Z!z>637=DqB%onW&hB@iUrg_^*G4?EKx7iH{`qEy8d>Xu$wR$e9=qLq9>4 z3fCp{r^*j0z=TCa%N=7;Jn6eoUgugQk_r;ng3g>5pLGG5k+OsB*oI6leCQ0nq1$DS z_Xp)ghI@_`SBg7yAeH0xn1~AnB-tTEc7vyN9E29oHYh4W4Y0Y=%lpGgGbsBp$Vrg^ z?DiqIGZy{YAGruhpz${0EDU4ZsBMS628MmUCs>`;|Bz}Nub^}wbVK8P3T1U3HSIkn z9Tr*g4!4SuWk7?v0=%Uk#TwoPbKmVSwaMNcfM!5eF6EA z?HLPyTK>-{OvB_7xMabSU|x)=g22d(hgvCm!#I~aPQl+ZkAz{VNzY8J3WDQN?%!i9 z&tmD^+THV^46K9$h`((-JYP@_Vv!^N2~>rPZY6^9#N1+fry({d-+*4xfPB=2*jTYg zJM|`uMxKBv8eTU-vF75@(fqwS@4qgodb&i&0x5y<#l_V&H)gmZyTIe6Rd~{Jz4_8O zq_sCqJ)%X@zBq!#5H%(v2K8#Dt+W7{Kb;9fCexDlMz`by$#DgNnoMsZ{;yT4?Hj@PK~*9TSRy}$2V?HxFIMm>GUZ&crh ztF;JVFG=I+p*Opd+S@{oXnW53d7h*~W99+{_tCYLN^~P;EoHBEc$MBRqnZ(%)J2J^ zd|V{+S}6TR{{S6u1KV)n&sM4=k48rtuY`;B2n;TBAvvejZX7m-JxWJUnYiaa-I6`_ z_FqGIchJ|@&b?AD`sU5q)zX*?skO5{JY9ef9SPyWgumSpe^ROM4(i7dzh+WRoW?@k z4=1cR;EezAk?Y=D*=);6RZeQjTPbK4m6p{He7e;+V>T=!)pU27LU&qH2u)N+^Bq_R z&&U2jDKx$Q7*mt_`+N-zUvQgC8IQ=VHa0dn(=mCx@-3M+s|_B%VHwGM`ZU%eAJVJVR~2Y3ozwNBh5dwCmNf8HUL_na}5h zj`(bMx&F%Q%9$6d`~*3}6vlT6qdZ$I#d|u%0=tTetP=*x0|y2DRrQ~o@f!KIlTK77 z$CvrH2#zi0(#J%1NrtCf?=j)dL3r-EyGvgCWuTLG$CSKG!@iSb{<0Z=87`5mBktZR zZWSZnK<|*s$lh_XkVZ1~t)N9(JO>{Zs-BU7<#7I>`8N)em>vDl-SR#0wgkU`I1fM! zaktc?ktgP3hfT;{)VA26{SqJ!>WHuvw3KIuGxH*tEQ)}YjXjic_Q@UOaWJqa9}>`4 zv8~d6_YY*@y%RPurVO(S<0^^|eEC zRC|EVv{qP`(`r^vDMHNSZ{DRYy5lU^%5<&@qaY#7$FWhe`EaKzP$j6Op2{IdPd#ad-D&aYzlBEf zRD{&bZv7_X@{-!!v$kNzg+K_8mLK)c2crqFo(6}uxVxF!(pW>>?q(Nt93*F-ZG16T zYsV9Ju;vqUb5|$hVBmgG<*pN&8u!Nm>F4PDsV*4;^l&|PBosys8(e4BYIVf=S}7jA ze$vtf*=(fMW7DPkw+A`rntmO2+!Z?_lUwd$l@Z*dR5%g0eXDJkeVRc+WhpehT_)Q`(dHtF94~60wqbyZs-iOu_P8w!{PM$Z<+h z%bO<@3I&aJT(`@OcwhOi%=k669cs;$%=s$ZDH$V?71|fLn!uNudf@ctSI6dRhipTh z$I%F52JHjlN3A2^p*6qYB9S{9azkn`C_s^M52OQg$xgtev)8uxffG*T6>P){W|_(N zO&QbgsN+sl#p^!NY>OZtI?a3KSw3W%dveMhDrdaLwZSi5R~NNv^vlnT*by^|39f6% z|3y@vrj=o0(R3TtN4qOJo$;`vN!grQgvF4qe{1N;a&$0D&GdA}!6=p9c#T|spX@=A zwqfJO`7KT;UCnbN@NUzT9iBs!FXZZoH9gy`xpSE>Gz{2Bf2cIC8XaqYRYLK5w)w4* z9RLCVU1vqKr}(}6CQ(t;m$?tWGG`Wg#NoSej(eIEg0rZ`7C-(Noq(@o>pF}N!*fLK zXZ~NW+flfD{?_6Yvs7gar!>HH8w-qJEA4wd57@#V^unmzh2iUy@q1-yCPh%41Dq42 zzc2O$7Tq-mY^tj(?x;k?gljqomd`w0VDwA^H==VQdn2})n@=SD-_+yggZY4;&>Two zJ+!-J20;qi^_w%oQX)3(T9KUo5+uWIYDkJ%%#OA#fO|3JoO@ae3774njnBxn4Y(7? zQL8%iq=Wgu6~b>p>;$S5<@MBdfgS3*=fPk|0x2it4Hg zfG?p7(Y1tJMwC(&X~d7M8b5BF{xwaF5g8xiy-CVAwC}#|T|AGqMhnuH3P+tdve_s= z?qSsrH!%dmzF~$JjA;{M#+?XK$v|#0+rfywbF<_9pbOuoZS1m;dMV+^=79E6Pc^Ja zlc!c=eWavE(W6@zcP;f9on#B84A0|J5SYruqIQN#WD~;c%7KUMCY{((MdgGTWraPO*Tfg=G1AS zy9Z)T;BacsJDa;ovGmhRKP%zOCkTfa|G@ElKBER-YAImo-#Pj8htO+4TQo6Ty?!q} zF}y+}9Hq`+7p?!W)J#9tY7l!B0}3@epr7-wc|&~Hu(PWpRD)i@k^9O9Cj*K_S2+gS z=G5Y20HhopW4Sw?*PY&L1SKiDqq@$vk&gJ$rjX@{rZ0nnf+{wZb**Ex;}4(9n0iXPgvLBkdxG$c6&9TX_ssh{2jHb^Rd>43O=J1G;@%b_)$994KH;M+ zLdx)jl!6}r_VV_+FstNdS4pLZ+Y;IP!pVqxGRPH=(bpFU&Dj9{z9a;Q2l{>QIz!5F zK^Ct&i~WM3^wDj2hr43B4)YF``PL4jyku49qm~&M`bnkf%VS>7kll@xmPQ?|%;vRr{svo}QlNr?B+V>&ERtT^g?i<-6X{Qf0$j z+sQqN&@a35-OA(=0Nc@v`N*82UuK-B#BKpO%c>jr{LFZGFpP=oB|$VKhtv!nYON=k z6Rf?G{m?)6CZm^^c4RoTR%9LSF<0-(1`A5g{CFLHA5EhnHJP`e#5x(}WXyj($!MpH zADXVG39!NDM=)ByZ36$HJ+Vq3hGf=Sw{TQjo&+twk|EeewVurtkKGwZTNiF2k2$7i8YIlJ97ci&94o;z1|6|8D=qNP=!%m{?)!4#lAcBw)Fgkkca_7*40IrkdcSG zgrZ_sra~n0xxBp9q=%71_eZHwl8?=UZHcCROjZayzQZ8U%X_~^V0B2 zlAF05^PU8WFoQih$>m)=(Fy1`1k!>GIJydP3gN$AECzusvG}!3!Ggw^u!0?Pg)6TF zz8r7$&r`Z!@jd#?`*sDQJ>5TcMrEq>xbNi^hI2(OEPou$<0%02@OUlYhIvZyI^D!m zQ{3Md+}mTaF-4Z2++#(x%w`}h)+Zdk%0H)ay5Xw-FNVc`nODYU>>0)h4qqZ4nKYX} zG;}|ZMl_>PeS90vgh=c~g-~k(!5Nj_M^AUKlHe(@|l3KdI zB6f$2em=>*&juzBSVAs0f4qc1&~}KbPfpHqFL~;@fs+=z&**&h{1)!V*wD(~)iXz2M3_EF)!`lw82avwVIe?>sPW6~MC(+e$BHl-st!N=jj zlbs03D@S!bv(}HL^qnNhc?y?hKwnb2-)DUkYjfn0 z)k1*~RY9E%AI->hjseaYfZDP&zJn~*V#f_Mhwq@uih0y@u79U>nf|A$x;g){?~q;{@`p$bMRk?gdi^+vFMm?@a*sDhE3Wfv5Oq(Ms&K1~U&Wa#+C z!J&DkzO545+}(Ow{^<;q#eNKKIMmT7DJ!vS%qa?+<(siHXJ7rQ-Cw_kT%;NZ*9dc* z7rSVShSfT=d3)-gUwG_ui5c2}=dcKRU8WbVIHSiVV^#}vujH74Ua#u)e+~x^?s}X@y=I6 zQ%$(U^=vbO{;V~2xOFHme0^o!{U-0={Jc{&wv7H{E?WTfSFt-9jLWqie)BH&ul5V& zNs%(IASgOZlAsBR?DN;ZU%sQkEd32CH3b)u(O*v3nH^cfq~(*1e+Mn%wL_HNQldXrR{p! zlFp_731mc#y0z=IBv%$=Pch7MVJrG@vI*TxHHw387Z83Q(RFO{j;+0EK`Mm}(Ajp{ zC|y8Kc^A6cf$h@fe#@#C-s_Z=D_b^0A{oZ|Qz`Ixc2_E7>IkjHgssA&g!`Qi1Rq{Y zR5gTdFTS2H(HgYkBGoNeGRe#o()wrqEo5Lr+dmzt>uQM2)w5O5W%7TGz9=gtMg7EU zTA^#EqHFdlb0|MhWc|4b;XBo)uOxo{S(6O`I=mUuevaFz0M2KFQp8sKA6oiznD1Xz z|6<2~1(t-79Du5OVTl2w%4LW9RNK;|BCgi$%nrZd@`V!Ts<+tTMB${jyT`j4efVc{ z5eg=_u}IWff3;Ce+gyfZZX|=Gzz!1i$6}R-+8Z)Jw#|P=Fqy?M7UVkhN$T=;3%|TG z+1y~3>`N%phwq_SS~Q7(Y=rd+6;Xu>`-OaQZ1Kxbxnv{SXo2eJWm*k8_(p}r5~(m+ zLSx(6M`K^LyXOrXWP0iYz%YIK^!vn%XE0y#^74{GaQ4+1l=@WI{N{G|}> z4tQ7F6cEM3E|>eatvMCZqpA&E>dnzw`XPPLI8KrHt)7#`SX}pIk|C$>C~H^rMtmr~ zZ3(1eK8?axRd~`zD7+3V-MUBss z%+E`yrh@G`h9J671E*sjzt+J5umk#j0FAW)1=`5zBg$%bQ^Ov>3=ADGV{pe@TQ*GJo4GMmj^NI4Hs~jxe1#Ki zY0$>2uq|UR!Wn8!U;_}7V9R*m3{r;HHxaBTLqbow5}pAslff!(O)@vU$Xsjt}jn~k7!S(r!C z&jLML&Ud_X;>nfuymP8ts?!C02WQHO%=tjTpmD20L0rilC+@)inC9wF-b07OAQ+G% z=u%F}Q9kDr*rqgNB7g_=qgiWy9l^da9dFeCd6(t98PiSt0f7Hn5kubrcv$1hrXKby zFc;VCo|rI>QrHWD;reTH0BjKazND+;KyRv3{wKJIhz6Ecp+nmbWiFhkx_EJ0S(^zi zCDnzc6cAA)YRU78>Q4rnLn9jdobQ5x>U|lRQaXT}qHv$vUe@CTeyXfnUA!s@34-HC z#1{=i>_>Kh@4h@Lo4z$DQbAvgdWCC?`%MKbPe0=})2ZgDGNY7Zf4ziV1&GAEafZ1k;wGJL zIB5t>de)17`S*K*P_@_V3uS*BAToqXF2@|3!klkNk(k?|I!SpA^Nt z=>1E$_WWC#Onj0nLKdr_ z4;vBknw>-j$|@?ky^Q9E<)Wu%sm?*>UZF7FpxkwsPS-J$O-etIsO&Sx?{o+7w0Gr+ z(@h=zPqa^VVMv4xwe%sCgqF+Kmo($(PeM4w9!v$B@Q0=&*%ehE5gmXV>b;Tso+I<8 zzCiR!qV~3`-wA0qY(iM40BouNh9@$=)~6035(NU5uuDABBpdWnN_T*O;Rv+j*|MW= zo)jYVLXSXdU6=-~yJC5rQhyKzP@tUM)oc87d_~V4*7&D*2M}qm&rK!i7E^;8nM{#; z6IjSc>@vCn%n1%b8%TVes0588NG|aU<$~f(x02QCyQi?blX2g6Lh6EDRrfg!${!G4 zsFeX{NOiR9!>x!a_NUMjsjG{9qGaR?g|7ULtIxn=0V`~N(d7Q5e05X4tAgruHe#@g z!yG6Zu`SuQdCg3#V0-(wxhsgfzv19lica;a8P31pMu50Y!o{FG+NcJVeZHx>Z+P602Sp^?V8}lMPX9)lE(qqcR zc)(4xh+7h3O=K0(_hZ3-9M4rkyLlc7pZwqVS2+! zQD1hxdOWzIiSZJ_;XZ+rg(p|BIsc!O^Z(VC1dh^`oROe?XiQC{5%#sGk+PJS!?D}G zZ0}9VGcHR$xHTZX*R5g_{p21>?@bMu198mJFo;SKa0-ai#i!Tw;eoAvc%Z|nFG9}& zt0z&xM2~KZhFPD`!j6jlDu|YFQ9i|r2_Y=2mFr3)1G--*%qS`8O8O-2-YKv9N3=i_ z7?4B?BD)4HAVDWiRK}xoaHf#5^jR*rPK z(U+-8s6MX&bacgpJKLs(tgpO5W4+oFY?g#N7%qoLC)J9bu(<}Xm6Ly|ue96)J_>vX zh&obCw;d1~YatDVqwlhve>gDXR@})Ig~O{3qIKRFmE_&mJxj1%?&jeE5|9k~%(rg3 z?O?qt+$tGr&La_*PF9D0$;^~Hj*f-csv2cE_BYWOJrWuG?LGDDFv(8-k(hr~-H$#R zg+2lc_T|8qx!AZt1`ZLZLMgtSih$_%kLu9N3Zf<-fl0TF7&3M|j_@MMFLCd~Z$knQ zLko+>x9WDK4Ltc*=G{w%2Ff|jMSZ;qpIhAcRqi}BX-0hzS-bhwoDYP8j(X~Jv?U`6 zg=Z0J(v8=G9=gVEe0~NwE*P)`UfGKmUx%gplF-Dab8Av_+R{-c_Rx2bk1RrTva6$yUjT5gv~h` z5aW~&-vk+kMzGUFt6JJ^IKn2hWiBuZVk~BysMpyCsyBAyI=jv`^d-v#?HQ{rY>4fk zh8vxZG|38bbV&+{eIn}Nb|`yZX^X0qd<1N&wmMdrEb4B~tt?n?atPGevn^yFH~my# z>@Ki_(obE+M`EQG%{58?qli?TjeE^OZ=U+l(;6?f+yfPxFgj zC^arE1scLC4Vr&hP~>bm!sU5G2xWP)hPR z!-cn|@9;tmBd+C}S#NIty=r-oGJEzpzn?JioClK-&nWR&oYxiD8b;uL|81^jkz+>@ryDT7M15f^32| z1+c{^*7`AEyUwfin57Q(_Nwn)@LT2mIN{6@scu6DSGyF16fm$nqskyNrr2VPa_Uin zZ#4Y>L(+0CF}NuswMBlID{cl}Xq=?+Q5K0Ct!=;&?dVv*XXZbiG4<~xS0ct@xyFE? zLX;Sfss_gG0Bn=qwtA6Bv@A2WgTW)^xRrLm?nI1@XFRb+1}9j$&}{H-D_}PxzCDP( zREn{z`bInYRqxUiQJ{~vtg+#Oouy)xi~B!Y_s0Rd8DXfAwnM;-5@8zm&<&Xgs& z#EM<*RroSvG_R|hgS4}XyXxzUXh&PY0$)7)sF#s_aA#l1V2{u-g?-A1Mv6s9B!^W4 z00xi#Q&nrW+dP*XpQJtJ3W|JARV#vyl5S zNJ6prldmCW^Vvsrk2mn(Q1uf@3FsAi3%shE*-jYKIh2u%0dpL^hWFH-An%aQT5)s| zTI)(BUl`_rX>LV}^x2%>mcwgvy#Tf-89oZ0vL^V~M@4%)NZ6y3AYewqZyd#IdVxV9 z^%Skzzy?7>lZWz)uU${k&BSj2WMFXjM3n= z#+sdZH5@HP^vwK6@kN?rzxcvP8Cx@uhQIahurC$EwC$gO%)#ajHB}#ag zYy`JhmZtk~Q&>%Mv}(iYp-2zgSOg0-UFd^S8+s%F7BSYPLH_@UtqbAvLhVD)YB<_H zEwW}0dH(~33h^YH;rfD-qJHntO#ln4*MNpV4E|X2#{7cAqH^;NNh;W z1VZIf+$h|R9d~*)>V6kL=$w2@2I!p72}OrFzT%?7EuQdQ;u;$z+?1k!7TQ8q3cv?@ zDuEQG{yL;$$LC`0KD=`vA31+*d1&9>mk?6qSfB#6(Xh52S+oIpr=CA%P>X`KHtQEc3~MV;FFZb}7Mr-9w+H*F9E*p!l;; z87M^zH|qi4#+ZwIGM3|2#IPgHxjKvu_{W_T$|=jeYtklkD?eKhFi;*Fu6et{eb!v7 z)r0`wbe~z;S$_UN)*brJO}Og2`JBTpz2sKLm*<9^*c_fQyag&3Y^lSjWlwMP;2ir; z5!Qm$yO#fnYT*+Bt={y{oTKF)TAo!02+W|FUI}ADd$csBx&K`6L3>BU6&lOchURJu zcj(bVR&FHowggXuBn%*B!>_o~5R_*Dt#3cG$8U0=PsjgMzx_xLdr>=z-nv1P8Xod! z?*Kb-BirzhU5bsJAv125vP{eXR)V_lCB;oZsQ_bWtj{?4WeWM_9^3b# zx&Mu9lZfdypoF@*1X~0k$Mnfru)P&y@5YAgg~Q695zPLyvlnJx4R9qmg2fooo~`;! zkUSxAgL2qI<}8&7a3jsUz)`2&5pkW&RM_m?*Ece)y|+PN)!H2T4*2?4XvLgW12hR*fdUF&fPGUMtx4C1UfqKy5S5x1#O2>AH{>sdi9e+gc&fv5I5;Tv#d|(FytM8 zr?7o&F&u5GD)MKae#^kZ0l4uvgw?sHzqWW+mxfg)_dFzHb7(;B&BC+78NtGfIv)1CZU+bMH@Es z$FLjZyvm=fI{4qB1LwvK<|Ah#NaXzapO7D%9@EsL;oZAL;s>eE{~+4|rE3Yp6K2e|IzL0v++6x`Z(h8n^Yj4T&>1~jpGcD}a>FA{?%9b- zc?VU(-RCgUXhd)1=o`mnWGDlirAVl{hRs{wLJmC%61!iLn&r6DQ#uc=SDKpT3Cb^Z zHcR{jU$OJ7EaSy>OQA?^&SS#^D`p4mG=iY(3 zjE2S>;b{b5ytL?F-}n71mszn$t_xQ+CN52QBZ1_%XO59sAWuZ5e)r!y~ zWAmY-?1Mu0^_2V<{A~TbK&!9xWxSl=)SK2Zku1-M&tyPy)w4F)7EIBA&C3{dKCROpmQMNLI-B;#Gb`DOpV9|7rY6LOL^L0GB&vy*t_b>_mf#O{s0MuZwUUFFP&%d#v zJaOWcBb!}ZK84s-2Qft$6xtNfg;B4s2De;l{UR$4cgApxT>1_~%}i+JZEE*$HmEX` zD%=j>sjb1cN_`U1^XyL5OI(e)d2lkuN~In1CX_%nT5+}stV~pv_^VlW*VNOk=BS#` znD8>{fO@u~cXO_ZDfrjN620NX@4QjcIWSC8zGYw`f{r)lIPlZ$y5oU!#)A7rrQZ}C$s;$PR>RaF(8g_+$q24^-wfH_Zf?*3-;m*HPJ%gTE-ub|S3 zY;_^l6g!kY_FCh_E_4wW3vsW_%{8neT2FfUydI>%#{*}Q_7V2@P5HR@C!tY!_cx}V zZd%7C?B9aoMBJj&W9ZNsqhx0m#?G#lkHF~s>VN3B<+53W?Twj+R;K2~ZfCc}V}k?# zu}J+5s*m9hU&zX4-pqV2Zc^ude{`CP;j78v*e+%xPAfGVd((nww%K@hpM#J zN~Rjo&vX238hAl-g3clonEt$~`K+s3%wXo@7QS8OD2}@tJ)EBTIJ=i_F>>C6?Y}`f zb=W2UC3pIE<;666ROVjG9paxhNcMTcSO3Dvv}^wPdHycMOc(V*!HRB|2B#KTD35Fg zkD>fo_?O@+b5?m7_wy>VZv%8?c4`3>du^TC7QV|A3G5_aaE0v^9K%^09Vo}~d$eKP z+pHI|rgKG_JzJ+VtOJ|8wEdUrM4)er3M03so33(FNwl3a18-u z4v`$~`;Bc|BkHsyEmzf{Nz5;b+fy&_R_LBUzIcx>1jN286Z_;=#BUSN7oF)YtUTfA zDc~(N@$9th&amsoUVU)09_CP+cM%Je>0Vb}Wm)GTo;2YN&9(-*`utj_tcpR_MK1D@ zvVMkzitQJh=dRP*i3Q%ra;N{iLv1bcm)q@ruz&e)Z5nXafz0i!$K$s~^kA%BLs5EA zr|UdyPKIu<$ag>JxiLb}BJ5k*PQ8qA4$By(F+QUrBgw)idS*_HS?NCXX_hSfVSRe%rL3Wo- zoYGzWwqq7M=MGayH&x3R4|y{!BAfwqMDxF4n!Zr^xSmeV5Z2O&$C^7R$!)BWbp4b4ce z_UlOa%;F({WYn-s-{YvtRj&g+ZW8c7FW49P-I_PITrMrIX$CC~e&puQ&EK*?VWm#)ByZ5GKy_9u7 z6?1d8$2xiK@VDuoXC&F*1oZ&26NS#OnDjcWo!Ys~@a0%95Bj~s=44xT*PBQ0buBGy z9`=;BTW!qBv$iStZAsPQkWMve^|zmMg7+)WSQQ@UldI%$+w`Tmv08=EBtYke^G(N( zQw5#g{L}NF`}u{b%_`#eDj-}jpyd*`#5UEMh*Y&p#ONQBf_Ye1EgEzbJmrPlP9uwk z;@P7pDHXS(5k(riS9PwUo~z>$QtLBJs@yMoiV99tmWZ=V{1n`0x||WWW@R~4-96UP z5G%;Kv+KKvyf6h#&u@6bG_iWA2wt8_Q>*h<%2e`t4vE*ed;C6Za72N$!QR@7egeal z;_8kv>oBT4 z*RvFtpL63bcL85o^`Ln1(5ONaQI$ys+^Jh#)GOD@Vh9D)YXcw^9fYwVF6K->9FJl#x-5bZ5UB6T$8pAS0p)=>1uumTd?z1;!@u>&^X z?IuOanv2}n2Q7BeCq<7Hv$l%0(FhOu8gKMQ2j7`0k@x33(k`soVShR%m%f`K+pcAN18j( zI(G*@8+Jm!7^X6Hp=p&FTT*tOV&*?8nsLm`0N_`GXVS~I`!#@VM;+@J#Y{6K$g0dx z=V;VR&t0fceL%oi`R=%};4wQ_m`^fCdFmBwYer1MCz4!r6Cpz4*Z0k^96%C%3k(S~ zpT53GtRQQ#OD$fYA~E2UaMq!g664R5k?}5h$Q=*{K~ey=6Sn1(J-50KJpaBoD=lYt zc7gDFFpGK}JZivr z3-s`k?Hb4k5c)c|u7br^&~Tc6nl`w+^b7+Pz=f#;g+z}1y6NuJMe{-M3QEr>1>#-W zFA19&p}e-Z^~opJTy#+{zlj1JdMx5PM5PuC_}EMGDg~kHrXGE$pl}n>U=g{R?=p4! z5!z!?kjN7zQghnl#2-}mbgBF4i>;2-mMPEbSrFoXU*<%3LWAQWjKukJnn${4lDrQ86So`lUk(@c>^T&1-idn{eJAy;M{=Pg(P$Gkj(w~L;Fh`ux;n9yxB$D; z-bZ8cGRp)#wOt(jt81r@M~dVPT~7@kJAg{UM+vle@S3a*YhkM}L2+b8&m8T?+F-pk z+@QLW1k#2bt+jv>4+Fw73_bY6AcmW;{HV9D1_(0x;o{>b3Q{hGhZ~|fWx|Q9@q|I$ zX@e|d82Su`NjV(Osv3zy`Ak(|Zifc;eZkvCc(|_5cW$IwjY;9X`qJ*hxz&s2S148{{(009=V(F zU#4HfMCw4*ZM}RoXBG9j@JY)@0%i_SE}U~J1z|$OzYRHxsNECC=NdXZYwy;${C(YdPB}at9v@vlLgLi6{rc10xQ-F6 zKW*WcT|6d#c=sVI7$J$&S2ugSxWRxF$52PKv_ZUH1%KVDipA0}zq=#4h_ zNS)LBgmG`^mp`d@By7H3)*iS(o4p8E@AGC|PS~tor^h4oYTNRjkjj>!4e6d!P8WDy z3XEMAGe4#LhH}}&=CwimX4z6r{x2PuO8v8qztC`A1$rGLX8iooI4Ns8JN~_6Nkp}mb?Zfd|YIF-9x|MU#4-71#Fs0=Z651Cs5KF@^Yz1TH~GzeVKuaI%21JgRN2s0Y`wp@>rIgj=;7L8R8%DC5`?m#p< zD^5P(E6P1Nv#uM%T%Tc00GFx*%C0mRyEg5re(#uOcG;v_XDg!DUyiQohnaNRCnboP z+$Q+x(iH6#{KYSP&kI*DxB6!=MYKQoVjmr;qQ(REOJrvOW2$ z*w4s9gW&9J*z}r|opX_|Zrmg5|(EXzP!~mO9VH#i5k4c*Ms-#4#CGKk5s-Es{ z?3xiBA1{N6siZwdQ^R+D-3w;?o(HdSMEl->2e!OtnXiBKoNJ|&)&8J+?K+I#oFx7) z!6OQPo$DIAWnzG6{M@hbz46Vdsj=9*Uc!4V{zZa$U*C!Atu$8f=ijyqRv0wj->m7t zJG1cjwLP<9^@ldA_C9{Lx2WNPV4=5ZV z^KrAif5!Tkso%DbaGbo*XXfyc`aa1;DU5J7-6q&798$K>RS+nbmKqbEmslcS7h1Z9 z+ctS7os_jK95NW|o?UN_l{14dcSSx@fsE*^LGnshdR8m=obN0OzIL^AqFPvfQf{S% z(e3qSb1@NWwT8^@@LCVyBnBg-+E@!+lRdXis2TfsJ)Y*eE3J2F_%+~xV+D{Bv{=`* z7McX&J#V5xKq>|p?<$!y9|)stdikzjy?O5Y_vAeuqF+2)xMN*bMZ=1t7B%0eqWLR2 zYrkcjU0rqPh5Xu7Fl(vCsqjNZSruBd&M#;bY8nLXbNkj< zxyP`0J-hoCnVyntBrdM?ZZn0OZuJP6=h!)p)>%N+&`vVamt22EMf8r*Cdij&DvzxU8 zWwIV6f0el%Zz4$#}#74v-y0dP29%l#6-7>bQe64Ib#or>PAQzMm;9=+KwG93Q2BH_v|`k5Xc#y zp_-#|(%P=8d^WqxNt^WQobTl)4-Ox%YE6$~IBr56U!gD&Gq?5Lk2@$1tb#E;f?7cL znH{o5y#Mgqi^-F1mdifIKwd^mnjK!U*ei(?(8_+n9-rB_p=%1eP=N z^$u8RaU|-&LR;Cpjd%2#^Ajf{QX4Gg|8^{`sG5c>{8Zc@WMTYJb5sr){~%Cd=ZozR zwI2MA#S(|5Bp6Pu==6ozs5%*E+~4|i;eNIHza$@Ug0phdHh3FvN2O-G(IQ32zlL zJG2r6l*paV|9+v*npqk@jdiaW7PIY?$J{HH4&-MK=IY3#<*#^L?zSo`x`Wj#@tB}( zg07#s(vWzs`9Yl$BV$dlV{i(vm40&7GR~x~(tfs%T)va^yCb=YvG(Ck^2&FUAGxSz zw_;lf91^kp(h&XYPiyuk7$lqTKPhnkrtsHYpnI{NXQyEL{mL?Mu!i)<&84nNtU!x( zHYF!NMWr|vPyB5;HZN?p{mkEjIo~5&a3k?bX}7H5RsKlr-En# zy3K^FH6gd=(YD@LI@w8@eUuLjiL;JjS$r_h;$z zZ(+V{wbM)k5(Au?xZ3LZ=JPUF!0e%=`suIZURGR;|0=VbA7}hTd*}71O+#u_hw>~m zw#Rh+cq9D#{RBPs%FSio4gQlBCAF&%WQyvyMmyJRX98IIyNgao`=*q+=&eIwc85W| zc3`!ozv0?N5{QN%Jr@wrJAGvao*{QDhyvQQFT2-Ku%BwFKU2 zz71H0Le0KkzN;qvOq%4_n3qbe{N`(gONWJrDy*j*kXhMHn(r*Na*x~-o@r*3yxwe< zcUe~2x8o^34X-EHU#q_yhXyWq=hiUxbU^7;PP%q?`Pj!fXlRF2uIJwIaVT!^P@#&& z9?o%bdm6rJKuGxViP>=Pm0`n0?_I%>XSi&XoII0Rl{RQX>xY2)WaVmh48q-FtWD9K zw0f=EORZ=Qd!#^1cxk%NDa!BCpLXxa&eh}}nWya6?lLZ@!0p?Sn0bECc8~8$koDO< zTP}S@vG(x7n%$7xaUWQ``2H1EZ-B5zB5KcmYh$qbN-xCHl0%$1W4jV^3;5s!X=GHg|e~OK9455jJ9IGhx=t>h*Ri$@u*H zXmFJfV=WiW%k{jbemJ*p2);Eh?Oo10E-9B?XDh79U9ojw{G6nxj?Jd}rQogREG~YOX!`!bj zdT--!Oj@ch6ox~RQyq3Qo5}1V={DXh_xnHWy?Id7=hg<;N|YojXf&cCkOU$wC@3nj zb*m&00)mQhV;2QwRX`A$%@8GC1r!xTmewE;RQ64F6a|%~S!9Q96=a7-wuWw+p66|H z?{~kdshO&&nm?v$D9zgInP-t;RjU_|N$Xu`J@tKeTNm^0Rp* zmGe)@5|4xUNnh)#K;v&|nrUzB8ShG%sjQ%IML|C)w@J6W{vU8;WE?(n%WHEb*J~CC z|F=ts6-dLqB_0$b8$Br<-UOEiU_mS=@=fPPL`{ z+Rn__W%cH9Ca#nlXW$3GxBTIw6~4JrF)}o?{->Awwnb>hl&6oP6t_gU%wgVU=0IAW zxI3q4eQ;ly0&{Yh`ca3`0L5KKoPQ0(7hJM61NnBuL`I8`%UYfU^$%K3!Fhm8*=uOPE19j_aKS)M1XOxWTz3B) ze|YV{G)|KVOOgl0^wlQI!S>|;1}nyAW~ia97h-Htr6$8$>vfC8G=rP%s%+VO)&r|F z?x@DvBdN_qY7nXZ+i1hZ=QiUl6;gO z$Y61X0s|8(Gp4A2tg&6*c)Jnr049K4Z>o_dwH{q`qAxMS{>Oz)$~-?$J9J$-k$>z% z66^3QNW}?#eW%z-hr($d!M1VS(lol{t z{z1XgWV{5B%^b6?rl#gO#`-z&)v>^*_T9CEU!O@Ruk$YyE?RwwQy!&^sF5TUlA=sx z@M?P7j)|2G{3o*|e3b4HiLP+-SuL8PDSTaw1ZG$Xn;10Ul_3gUW0@_)4c;_QPyuX! zpb`ucr6%MoiwGzY<6=AN$v)BpCdYRMCpcdO+lvnKV#r^0@O zRFHz)CQ(w;VDa~X|3vCZQ>*`#`5?;wB9z_#!(`U~y6%4%!~c7I;s1(?lM>w}38=uC zFWuxM+}w^s4yWlZQHA`H&GRiUpqxU=3zQ(UK%8T6smL`)-I%NwL=U5N92Nw0A<-k? zO5GABDsOmYpm4ORG{A1ZCgUz;i_E}F^ z6nJ`gkU~6o`yw(H77r5P{U1CjJM;r2O7jT0dN`>nD+K-JrfaRzz!{_;_i^_6d^kyA zFXQIHJJw#LH~qbEi%S;CMJ^}YOeZA4GNm&yWmg} zbs+S-pNu5(K~QE~vE7|7AG>%OiF9~h)Sa3w-n#)pH+yoyxuT5YfpB6Xv+_@5xWa$& zwO)%$5UG6;&S-M8WVg0n!wYriVG#)^mI2gAyfhK=@Gg}AY(VuCG7drPi&Q?&FNOz- zr;}gwTD$1I_Ni$~zSY=+vH;plVbPUJMwrswp$rcwD* zWq5^Euw!geB~#DlXJUyTH%K{!(Xvc z3wJnaBI2TWfYLLP6TJ86(#4%!60!#Ihe=kkAY(CirOj?acVlhYu29W@uLQfDSH#Cw zH>z)EYW`5ZE_8$bj;W`EU?vy!V7P32=gvcJmMGXAce;1=Ik&c5T9%RlX=94;4Rf}N zX&8@0U|wc3qjPZfZ=1Dj^!6seu3;{^7y|l+R~oUnz^y#|O&&M7T4$Q!6Bd+L`Dv`B z7g{vEM;kRAVmtXh(I+OLEDmFF?=sxv86Q@Ct?E0|1ZQ90&cHA2UJ@x6&IYZ--0r`I zS7B%lP1qV3?+Db4s62p95>!L9g5~l5V*D7$K`|YhVPimfp9mwQB9Bs*@J|)CeGvWx z8b?dO-f)$tN^@F-l|viv)aL5_$jG?bBuyj5K!3Sn8?^L7=thTsmGP=EdvR{V;BdbL zWgJ;G0c+vh!Clwn*eX3m>+jDEyyz6A#eFMi=DX`0aTTlMMeo%PG+Zm!Ak80s8pcsB z_^s7@3v!cglPs?rAk3>4U$rwAZ6-#$a`4aqwr#(APv;H!Ngk+*I7t83tB*f@ib;6B{a#S_g4bWe+8e%q zl(sdZ@~dv!2U6uHiv>fkc|#-Emw&$Y(?r&oBaXwM{e$?2bh-7hJ|?;hfK86F9@$eL3)9s%XE|NA;_WJcW?k z`&qB41s$i-_Z+%O#om;HRTc=*r6K4=ztXy;RWR57mR<-_5;BLfrxKRZa(YtV?iWPe zFs?Y8aY&PnWb@8H)gxhOPjB>(MdGUy)cJ+r?_j@4DwZ&1{+xV02}_94z&b#AF=R_| zg?VOHXRE&Fx@N(%E<~9mef#R6PmM+*BO}hjvWP=0Y@NuqsvwIfak-PNxE)fa!8M&M z>4YVMaG0+5>%X}Bs!z0Sfq?zJRJ;dla&1_D^3f+kE42JXWKLyl`m`CyDzMYS1wFu? zhJ{+Q2=&~Z<0c^(05#OoLRd1Zg_(Z$3!rbiZg#40<1>z^ixqv z-d;;>4s9;5=y{UgqS??q7_x1O#WH38^|;j$C(YY;Upp72+XCs(0<2~i?QKHVEv5Y3 zu!mi-(j;sopyEr&IMy25q{3)|K}BLv^q!5WN1uEiDd2#WvxT&%HV$T?epq+Q1Jxf$ zQ7xz`$rv|SGMr#I4sCNL+TP!uy$z-j6o))gh@cub+u=BXfEGeAA!@8k^3cAxc#8Ob zFtiBJuAiAhgBZfrf+WILkg9nbI|<5mI&OfxMe9o%# ziskUCtEM(8ulhQu{Jo!%vhy&H%apv`@Szojcc zOuiNyf^{eTXi|Hj4{3D~o-WQg|J0oQ4@X~ow_BuuCpghJzc{>&PmP|N(_hHLmL@fq zLC=+W0Yr+4bo;n0R+z=O*Q9scrW$(pxDL zla1Az-T9|XFTJh-OLD#`9sshrzA;(8t+mR+dqIQBG@) z2*K|>U_86mW^|B*l75*CCQr|7B=({46oQee)mT#{#W5Z>lic0Si?_&83y`~ zm3{)cYtD7B;oXvPI!4d1LLDFvQYg3ly|*wXbJX#s*RjY}R=l977~@>rvmeP#k^_r{ z1R=lz^#wSc*Y!w0uH_Lr#0qmj@J7`%Mew(V{13?Wpn9w=`mqAN=r&KV5xW9Zos@fg zDM!0V#m~*nt#3D40!Vs?o?Pe~i}AQczd>^tz0Y(lpZZ(wF+j41|Ip-e^$=oOPN^e{*3Wqk_jsf{D6S?meFfs`5KPib47^RRiwRfuf2(;}};hMS>SQJPxX- z=+h3anH{xiIWx9cZaFNenuKq%TCH3!UuD|*%?0`sX4yIF^6fV)$V}B{t|ay9>8uKc zEl`c2-1yiU*_YX}4(g5Ty<7O`JZzF`v!1xB6sSJL_Up7#R3vc3-Z&Rl6wV|h_}tzC z0@IXn+96?~hc{QTOhY`vs>Ex&=U^|`Xd3(j_^Uc{T1&%sIrnw&OW(J~f9T!huz>fz zo4vT*VDjE%r<>U5@YOMe9dfom{t21y(#(rY;mo8vwW zU;agxbYPA>e2>`WS*_ocR@)tIPFsA8rWzvlorCC>*jZK8EipO7%Q-ixG$f!JwP;OS zzuYP7bI;>_%$2p26KGaI{6Oql5&=CtPQnStjzMBPvIQ@p{ycP^lf{BbyL?(ICb%dlY~Odzlo%)UD8$x z!GIQjV=37QSATs43Rw}AZYNG9OYI0;klT!~^+QwzJ4^jn^^m*HNeD&^(^`-3j@Gzj4tnKkJH9{4MvI0zdlvRPdTi}(Zt zZUPqV?yu@Y+zcS6VoDEjdBR2o2F%Qq-KPRfS!&)S>>{HgCzq)a2v?aq7xZD^U@q6OOwG?yZG2Rkh_2Ig6&NgL=sDaiq7;0-A(9s<7C2ITjIRp%il%8 zebJwnyb&Ticm8Cv@6oHBCWYWmT6>X2_lxAliDJvR8U>E8)$J>-sOv6mO+$GI54@q7@lf2r;Zo{TthcH0k_n$6~ndm^dv!7ocIt0t-zuZ)5wXsu^TdHqYQ}dD{_{+aM z7lM6ZL~V*?_VPb)t?v1SJy-ENFU;$TF2Bf#hh?{(x}IWsKcRxEr1JJg;Dx|ZR?xw~ z%5kLL6}|=@gf+#J5)}^|tBN6=U?9Mm%tL@s?G!a<_&%sxYZLOpC}A5Ra;vybI+T~@ z0id(J_dSaPvIfb5ub*TVfj16nJO6G?5t6Qb8+TLo5Q)RN+t2s0&M99mf_wPxLebvQ z=YisivZf+(WI{Ynu@T^g&{IIUwa>eVPT3@YeG9)h_^;+1mTP+)kh&m946eEAktn(` zPj2!LKjgo`pTLcY3Yfi)3upRyPT^~%RQk&g#k8Sa>nD5TrG70rd-VBr+Z#x;f7p%$ zM0EeYu~V#b2=sx~kwAk~fKLKAo-`7Ii-g-@J>ZCdej!=;P&Y%=8kLCzo)>ibS^wDy z@8`IZh+-fL%Hu>z3ryPCpPxZ0*8NY5)aEW+NWh&MntlpsN)lxT%YF${Kq`*^kOy23 zovuniNQ|tk>*DwCw*Hf|4+gBLs0_hbw16AU8_h(;U;6PO$!-EwE<6iQI0xtZJNy`} za5oxuAQ}q9*j3AF(~A+3lKcA!Amu`qSz?`$G&>koBu)!V2HBwMe4JdxINJ zzwGG3EWocL(tO1rgG+r6he1bKo;Ezl+A@x5CHl*CXO}igi8GTL?SoPT`T`)cDeh|8 zfHp~MK(0>=X@ZOMf>659x1V0n08)fJInlzqWots@EU@6x)3?{#gB&ZJIf6=#!%6Ga zjU2O23NCnX+=9@b1o2-&^1+xiMba;USeO%Qt8i-AHBI6EZEC+uBrWwBBJXo~AibxT z2IPS>Jr5BoCz<<6{HJz|gl((7Udh=CF9MyKhhJ(~PB4km2l~oS>P*{}wGpV_+S(tK z8Mx2>Wy9JWsEdVy0lA3w7g^B8ik6O3H`Fb8h!_1yPGjlRWs%yB zxcB!Lo-__9S9pdY(vPhr*f(d@?wz@e@R}!+W1n$mG84Qy>BE~=UzeYJW${|eSvVXc z_qk!Y_B<^vL;xn&&>Ckf4sx6jv@)NAIMo3s01t^X7t*2ZEqTPSEfGfqh>-&TFLnn- zxh-7)+d)&oNU8D0R@TX+r@|K!p5$EP!V9T8TNT%DQb%8Iy)N^Lcu7Q2{6{P`DC>^o zaXzVd)88!%N4c8ZIOqr0^L}Qg%z=xX>M;1+pm*9`_=hUH^t61B!%dNG)A2n&d6iWa zgsliqP~I{%7E~`WCZZN6Z9XI&~dzm1OzWNQOWCTlH7Z~2Zzc$tK5q#5rG!GKkz(c z+UA>&QTFP#ptx<%IQApR6-@uQ^VfEJF+0c^IQrx(A_Gnd&>;oHtKqy5nR8-`Hm>UF zT))E+L3wOeay811*U;50eKAi- zbOCGQmTR-XAM1yGIe$N!|B=L>Z@EQ&?Wg}2;}`)#8r@$?`kWtIyx4Mzu14R`n4F`f z%DR(@X8;v6+}Hc` zOvU?Ze@92sNn{`-BqSgUL?a~$?$7KTz_(;GQ{b=M5@JnNLmxBz*qh~?*;@7S<0)HP zTi1^-uT5Quym#*x$P12*xiZ-+*ASc4as~-afO_imDMx%PBO@aW__`4I=*02kzZ6+8 z@uY`0-{qMPghy-Ba};Hg4ry+?5n`>O=9%Ag^vPY_xLdAy(KrR6Apkpob6b3lmX>aw zd=yz&_Ac#?yED_$YU3EIDFOSsd3i$4qW0}Wy|#D=JeRS~94>J<>CUxl*P?0uRQ(-l zY7zF?_uYDH&Ukxkfa!&`#aQ(9eeY&fnk+^sutl3H?KeD-hdfm5%M~D%%-lEwjcS^e z&GWP9i<}$YzJ2Q*HpMUsZo6RZzO*4PPda;>l9JYFB)f+3=FJ<$CbVW6brW<5xxWvu z>2Y&IbIYRRN;&-KSEteyhf|(DeF{Qza{t3LM7kI!A!AqDdu0WjmjLq}nwkZ%r+vM> zy$#x3+>H=qD76T18Ts3N-Gk7N7p!-Zo0(>Ntb4#@GCiknFQBL>nbEkyA}dYISs^57 zc#zO&iU<#H>h0-idpOxcEBdllZSlXVYHFMvN`l2#cz^p*OhCZ3d78R=n~|aoZeLDwRf~sl=_MP+HVe7<{2cnoOCy zvyqXJ-=h+BZSA7sjEu2TW}VX|-^qbS@@iCd_13yMX-Ne~H6QWC4K0YIds6~r8tk*l zGEsOlJ3E`xBy`%jF7p2UU&D}!R#ja+{7Y~`W0P0?qG)ZKfFoA+~DNjzI{7Ja1e|2+kY=sO*JVgsc|Cz zEXQxD*rBc-+27wUUVJR+NSFeC0eu|@rhNhR;Z#5e3*!H2!vZLv8ZoFbxH5F9VQJk6}UA9Y^K8a<95xoL!UP=9cTw zxgLk@-j6)5<*X$+Hg{^OEf)7-Cq%}^)&LS$I63|?+U~2eV2u`^XAXuaf4rBes1LOa zJ!6Km)`^1cZJBKHP-c1clP2YH9%gIEs7sh6`#D)+DU-*;DYkV)uz!TQ+YlVzJZQ|hmoy`t1I&ozGVe!v`w+(;nLX1Frl3JLLcJdci?oLsqfnH%;jUvyi$j*!oqUD$etv2h}FKo&5HD zYRZn(y7PBBCITzK-!N`Ezb+o5xfY{&&wdfbYUi?sUH#5Y8io~DieBZ-oCO#9CTJfI z8@*z*D#86xLqkhtZJBD*Wf0W*S+qvfd@^aFH`HFHi#V!5o zdSJ8k$50qG`Doh%f1Hc*Ru?X8Cvz7W+3&f@aqPVKsjhQPMvg2`1mU_oG_tWcvH8U{ zR>l0UNA3%!a;(-RIMjDOy?8HV3H`d;_-Dk`#3UCR9ys7c_vS%P7OM;qNBLUoFF*>R zN}=wT_`~{RAFiBNbdUtvjox$N2NM&M;a&cHtTL117c-rwd$MnP(CwevW=3Mk^g?c+ z?*u(++2Do#qnWLSn2V|^!wnlY?AX1#sgAKy(dgN&7Wsd#oX*-_8M89?1Nl+e5)Btx z^?8MX6?rqKC6!Mc-+UK#IA;P>&Dlq0+Y*l}O*u~KJ}AN4>x_K3o-u4O3w>6gOSnU@ z!c#|d+*2deY)tk}D_5>mzwq%VJS*<3k^g)dB`uQ5dB5(FLw#baXmt;L;mdlS-OQ{` zjEsq?hE*2x&&5I3kZ4RxcWJlJhU9lDkg4sNGiMSjzwm&QZS`8a<66tes(q4dt-hXq z6IpjuY|EVELN-IQek2Zx>b>|jGAe5DL{!{)GY#}}!xnBBuklwF`c7rw+!24+gpoa* z^iFo!7?QkC!y!jMu4?QTL`JZ4jH35^xGF`d-Hu1w^=0!T(`?aL_V2>~&xv4GCqveQ z_nH%lB>I-RK7=I_jTuNZsTvq~%-*iDUt$8%gBs2D*|L}3X5OB>DC@T)L(0Ky{9%yh z@+g$Elsg|#Z-Jql8fq;ROtot}dA5WaC<4yoOLn>tZFXVLdmvh8^zh&>2!la1u)#vr z0SC!z#DHuFDBjQ+B3h~jseR)TK}DCGJqRHIp;LKDtF6jJn~|)y*F!^&tEHse z=4NN2H9fbDkB|F4Ufr^3p?kph9-lwH5-%R<)-CPX?NMN|<4dWQvih$Ee@nF01lq8G zv}K6%;o)$<^%27`ZgP3IaMX;xu4%*-0n{Th?U*@<;_dhBGuScP8O_6Mue!OFc{p^g z@tT`zccD!RC1JB&N(3H&9~szm-Eo6&7f`f9s4m>ApVoQbNo53mD$}pGyalMOST)}UMcwW9<+Ii`l zl1BSa6a5Whb=zA}CFarnyXQ^6@?mrb%|q8%oDyy0IYBee91#P03lzoIeQ~rVJ2;V} zxM4#ZKZfRCtgNX&5BFgqaL~m=)gIOat4`N%0mbw$X1g@6 zu)uUsMJB?ze|#zyJK!D``^1Dh5+dXyetd@Z#bA~6nhuET2JR9)uarxB(c00`hFSbi zUD7`KuNP|vTK^R@G69f8TJvi1WHqg8H3E@xcUk%?oS3E~U%1G|7kvK7kG8a}*9M<{ zyiZe&(XF3dQ(cYCbEdt-1!o|Cvb=!@iIg}zQ{YkN(Hn0k$5l$2kM@mEu^u#L{ub!r zJoUC`oNp~1SEt7Hyj+K5tTm^iG^NTiR-0h~0)J!_7gJUINw=-hhOOF#MvX=%&CDEA zf7{*XF^&;SK1zRomEG=Af~>P=p9FGqTF$W&F1gc%9?mzJ)j>{)P5U3#)^YxYp_-b( z@z>UnCq~h_M&+>buF5tJ_F8+V4%hc~7BHGmr!lK7pvDXc@fNF^oZS#2p^kBX0sMXW z@+Y?J!UY~zVGw?~$XA#va~hgDdEVVFaV{BKsfIx#xmYsi{1cbGRqr5saiJHYt?g>F zvU4YR7gR5^*4}Y*+v4%Ksk$T)NmU_*;^+V};l<6d=H<3kpA`S}tZ#fQZJ)Xt{b8%4 z?Wt2g;H(9duxEy2!2slry`FOfHpc3}J2*!y8Ct$Tqx7ctv_20&#mkhh7F8{taBQIa zoS&{Suxg%LukPcn2Fbg>e!85h86)98UQ&j^%-{4C&)MGou^_+I(OW}~a_I+Oi#2Av z!W)lq@B+$bMJQZ)_w;K->+)dcI~>2C04B$q z_w@F9PWWCO7A;=y_t&~wTU$f?d#crDr(R5)73>E5Q)$fqP!*{v=_45Bd`}6ep70W9 ztC-&&d3ETc=FbezOToOn)@0ltYt7Ke$QI(W*D9VISE73C^v2mUHZ~@4^y{I;_;_kxaM2s+5cU)IHRi zshup@;!DiYyTR=DUtjq>Mj9hv) z-dz3ec$DTY$yE7{|(?g_DdvSuo3Go^F{M~6fTL(ZIx4R)uDbDWQ}hmFl%eKpBH9G#z7 zq~^+XBk4p|;_~-UDq6E&()edJLx<;(9|sCr_U>Jgw8_>`v;~gr}k`*L}Fh%J+DPfg%jcL}_!U;kA+(H&&|jSM>hz`%9bi@}ja)o;0;H zSbFe?$H;pNFL7o=HeJ7#03V!yEn zkSMEMHA2zp`Eb*1P4n-AJzq7)q?t@=`NZ{N?e+g16Qt={Ixl)qTT)mPNcOBIcw6wnM^w3l?Em{k*u&rU)@E=943ub_fFLrKk)mj*58S~acy0I%`rf_6p zz02+>NgpGr)vNQLKBm(@&CiT!HXsZ1-w99vV27V+&s&?42uVcE+Od zi}QB&Kv*H6)e(QDW~~FPYF$ECTQgp z`iQA%Ci0&>Zc{m<(v5DJ($WuS%1US&K;01MZj+1?D?|FK%1^SgMG=miO|3w5x1v^r zdS|$vJNIV7Ks!tQJle>=$lx2=Z?$=7Fg!NPx?VJrvtm-n6X2&O^<W<{ngOx-4b*i@w3Z0=ijK zvz)J^w?OMd596Gs%!}&m;df$^j-6zjo;2aX2oEvLmW*-<$KrDm`ojofjR!@D79201 zs%)xe$Y@n;opp0x`M^bMCu?{n?{lUHZ&Y1n53$^*$AbfcX{LEr=D_pD8O2#y6MNs! z{Oy~Vm>4Y4@x8QEo$0WGqx-@f>EqguZR!swp3>wr>MPpRIuyiGCBx_*V zGQKUFi1fV^WVfqtYPM~5lvjJm;Kni5qW=TUIREeVd%HcmJ`O|8 zE41i%=cQ9@lQ2!YxCRw<^_iE4?nUVtJLZwn}}tiMZ5Ef-u*3Hciz!gF39QO$ShReg62G)T6~oOXXt2k0*`V;BC=vRG?g)kstC z*)Cs5E-;=6%hXbXwZtj0KQTOaKJy#lkmolq8;vwSapD}?=6+O^DI+S1K2-LDG_8_2 za@>R*o?n#QLPm77&wzF^xr3cCa%aOg1gt>*z?yF)Egh*o>3hI0fhlW7)4z79aMVoP zlDSiDd<3vHIW;9ECs1Orbht3s#(d+dCS-#a1iBIm3eC!=O31#ixZLpK#S8C;2ah8& z&ODW!Wj(&K$5fCR<7Tghy~#%?ZYsUC@5p3ZPh#lxS08!!G!L&R`upO=em=d)a=i~` zp|hGpk@6qf~h^!5L^W920tDl`6=dj7IS0Z8PNuJz&)=lk;=%*x&tp5 ze-sdwi;Rx0g6-+?{F;(>hF2K(YSK-}b_m2C+KxTcnFUOMA;&e%Kot3!8O3U~j&N~6 zq4o1b!I1|QWIuuUTZu~M;Zy-f+8Z_J_}OWgCw4qyW3lnfC7L=6DN2ruWyuoC`+g*x ziK%^~RkWn2!EyI^dZ_PH_L+ZwPLF&JG7~Caz$+57WL8y8Bz?0+8{<`l!78alI7!=p zA>|Q5Ri-#XrP1n3jEUB0cH-xUYP)swqt)FK{`XBaY?c8jT5a9avKE1F0C_k}f^7(L zO)2?Ww5;V7Qfk-YXkKjgq%mXl`k|ZPY*2>9*+HRLG3$G;#KbX|P-2j}y>ySm^XE0l z)zJ@w{h=O1(3T!SRUTUEYeDIY#)FieSR&y;$TGlv5j#J0j#rqbI^nh8fm;)n{CN-} z;5IQtF4FnOHs3{-ak3bKa=r=7B}Iw2OQ#6TT`I&uR2uw+@kbpld}yp5H*g$&5#)aN zsmc?vcyV_oAdT3N2+*2ui{Kym>P83%8jJ+!lBoh@$G0?0cs=Bjd(#un%xY{RpD z2aGiHK2UP(#S-PyZ0eT3>(uf36sy`Bt_<$pk|hBa)8tpAEPc|+lu~?NlI|Pm$XM;) zz}d0p6uElogLSW{sg#&oqgAR*g_%(u(s6bwZym*>5|K-CW&C6L*!1)z#+HQvB@# zMGI8c8Ri`T2tta_zFq(FwE!8Zl7+x%gt0%bL9k5}Aq!YxeUC^yk*}9ux>KzFM4FtY zuw6J+@}vG-FFIb;Jk$x|na#HyFEd22Woa@}n7b=2=Ul_ONnon{?GqWUql@R7|E!+DhNN&W`m|2L?7>imrGf55|xZhbovl2O#J(r z6`0of%LS}K&hOH6Xesrg-g_$7Xs9aC&Lml4~XzgOdSfg?Q^$h_3J0O6gFjLK* zJ@C)dm~X$LIe!_-f5i$7(YJfZ8fDf@1W+JvV*%TE++~I)>8q zmumR3SS0jKe~V9!KNpwl4wR(6#ys-O5tiCPrN)xw!_*o#lvrQ83n44n>LP`!x2P_j z>$hWrk;*O7q{S9JV7t1yyhieRUHfVu4z=ehiZfJ_cFBJuLQm^jhOBbtu>P}#v`p;h&!4q~v*WRaU$m5!S5&ycK#}YVr0M#R z8|FX6TWgi#S?+>dG7ON!w94y+bW5|Rb0Y6_*!c`B2)M1cRC z(W<{JCXVqOv4tVH`4XSHPUVn3-vJLVBIm|u@`+{ju@YV*8rk;VY9|?_%_-)Us!XlS z%EkpMhOu5fkwkP0bIS2Vn~J@1d3a!OEwZ6C6pGFu8QuDb;yVg6!R+ba^~lAMZ+Cn; z?1srOPhJ-AA>%XsBL>6I4*OTO$Kso~Ul^YB8(3DlZRI9+o1QFuufN;R_|iH#*wx+K zur)vP3fsYWU@k=SxFBFb4;ON_V1O6Ky__k8w#YxL4lw7R@4`Tk&wu;fzdOcKC}9fX zBz%(QDR^*EK6%hngC)dcpby>16@@pA(p*(4>&aXE*8Bea;b!NJ>oxE7eyvA8xPnr< z6)U_}igvd1wN&w#UY=L4MZ{L^D216e;h-=o)wf^Oc@KUsZHsqv>Vc5;9jV4kC}KpO zcjD(kUQ9=!n{p~v*?4_YmwEOi>r-~&T$5TuzF$Q(3A=jyoXX4QWvO_3@6uc(x5GfZ zfMlgiG#Vs^^x9co%8B#kbmZOkpHUW`VU>8xb2+|$RounPl{Q>#NL{3BtZbL~UdOiI zDtCVVASX5(=syarFS|K8A!lxN*+CLIi>sS{%~n=YI_>9IJUE4zEvjnt=86w)>;?=p z&t)gUzn?$F5oFkMEM+2F7SFb3S5fpuD5TcPkujc%&Sm>)>f@||=hBwSWYE~RDZa>v z7v$rFhSZ&1O>}>Lr$y_RwTy(LPvFXQ6Lx6UaA}HnQ7nR~qWD|w90$t^(Y3rMBu0x+ z?ruUmvg~dSzzFqSZQW#b39mwFaRW37I}M=I(9l4l#fWtv9)&nCL2FLP+9FM8lbQzs z6}-?CslYxp0uD}?&zi$ERaIIS`PCJV+PhxVpaT&;bmHVm@9!K_ng_kmc@?qUW~#VH zS$Wwe(_LpLiB+XH6#EfnUI8ke@NBITLr7LVHe58*6Gb8bKcCY~IIiS;uAutz%u((` z8lV_79B%@Rhu(M>i!dFW9h->NEni7jE^=&q&`A204w;id`=#x92biw#1U3I?lrhMD zp#BZelNUdXc1#31!P)t`R{S`aNYHM0ep&hm5@p~5rxXnvfeJxRm?_JzmW&N{1J+^M z8L|$AlL9$zHZuGNaAD56Fjs9Q(?{9~;c8q9#+v;`>xfIXX;>|oBXk5w)Ub`|UgDNO@ zT?D8K#$4Vco=YM8D0rzGX>wW4k1h&~jN809V<(+ic@fPt;kZ}- zyU(#%C-!)#Fux7)C=`Au3vvV3l$Fw1Q!8ogdW`7oogBJnXoQJPY2TWP^**RLfG$!6gxfDm99&~tzly&?N2p4~1o3OSK z9pqq__*I%blRPXS&qpkXZj({)8sQb==)TPpBk^M55|55-#-Yv$^*a83uCqOl-$i2@ z$Lt9&(+kncu5S0_eBvK-=^hbGPB=Sim7TK5AH(9u767u^%Aw;OrZfi9Oo7hBPM3`k%C~U}O>Fve0W4EmLJ?#W-!>WSjxgYc-hMBi?`22%w z%X-j2@c_~s;IJPJK#0A*E{ju(lG3~Qb9zwzncD9Ix^Z<4CjkMmaFHz#&RzS6w}7(v zd0hC9?J4_4a>YbEF)&{@a3BeqXP=x0^M-k5ton>IOIMRgdKO_M!(jp6kT26bHwZy|FOfZh#?)u_hSo;>bY$mwZYf=Ac5URhb` zHD0ZT9Dz2@3}QXGgOJ=jVQyYMPXvP6Bmvnom_vh#)2oo!I5n6YD;*WFwq<0;qEP%A z*>~_loQBmlV)IX!erS2VUj3QyR%Mt|^Q}Psc($^y?w=BAWxGc{ICkj#N*!vC)$-b* zXdLUvHaTHoQ3C^nHJ&qBt1kGoO%*^8m0fost-4D;BPVCW-b6(bI8$1U=Ql|{n!D-& zqCY8#E>Kz^K?nwe31cC~j*5(Y)8CNDSa%9RPcY~ z4B%I!ew_6T<|JMoCs|e&+)OBaq3D zp=H%ib%y+rjPK3N46{%AcJCa8#FgY1??MO8JB<{QWa-eQcfcDWqBs36&EM5EL*~!e zJr_PE?K_ia<~OvFP*+&S*iq845$NbUw+*F2{8Kz2q8#rXKnoTli9~2k0BP1aP=IJeO83!E??0}-))p}Tg|@IdrtG$hI`+$mcIsZGl0Dx|803RnbvPxFG%AloLl6B1!!mM*ei&1E?W zyP@EGts%o@3TKC-S37OCjOOz(YbZ((Kc3vB<(D^^M@~#482M zoFgJ45Q_;rZ7^u%^lo%?U4Ji=VH~zK^bgMIqJG83oj6&qODR(?*iRe17*R})h}Bv% z!gbZi8op60w>v7-Uv01)lZk;!oRgkBnMy!HfDvem4XD$+7Pysk`7Drqw2$m;O6)03 z2M^A>oT%oloKN`g3DJMA$Q_LmLwue0`c@A5+WeAqWMEo*cS14Ce)*p5+ixjI-uMX6 zG<@*FmN=&8{zQ{Yv}&x(Liypbht9H(jvqhXlJ3t<9{3da9ht^&NimU$i8^c(z#B@l z5SMAIyaPakd2sCiUI>VZG(D1>1tV^{&g}UJarjDY=7ZhY%_Dv-;M7(ouJONLy>I%q zu8T{{y`w(k8#{tm485^RPD0vOyFVy;J?p{m1X_WATP{G-@5meXi)b|UAoV0$KgDw7 z@wKvu=CRvevr4BaH)4YWd~EiQXbDrW}y~NKk3M?I8JeGP@&-oo{X57T_1e{=E45x`{$yL z10|JKe;hC}%3*wmx>w0RIvUXYR`Tr4l&rbfP~oOnfdwl6Vu!FAOnp*d6fCE zy8Ysq%aNob`S&kcXZpR9q}=Q-yVdKNqFBOH4l`j4Jd5P`7u=F6zOb9`GWU1Ts|6~5 z1F!(SVPe~S>tQ~r$6gtUCUB*r;W5Y%$bMN%-@edSJ{ncihn}IHOF7OJsSZF@&Bx(f~R@5|X0>14*3Xb0hFf!15MY&?u#P z(YzyL`+J*D=Wa`#Oj|=)j3Uxs5e-MC%-Xssf*@70&}=HopYI}c3hNeiy%7^PYpbOb z!#5d=jfN+P!VPemrnIw;OFfBN?rUqi;rjLK`qZW0dlsw&i`FK&(*2uQ?#F$9SUfqh z*__rgx)Z-HW87ZSiUovsN2yY7mY|&3_-54*vP;0ych=`%&oW^}vEW(0+)nXg#QQp{ zF~yVzCS*IuA6^m5Ss_Z?+nY#$0@04IA!7W!P06N$Z9yx3Lj=XTQ}=ydR#sO0!Jp~B3NalapyDwAocO6v*GkHEdJuD;Ja)v==9S&hpz9NNi?lEH_I6#lRnty`n86-~qKfI=Jx>tn()1*UtH9 zs<2f+AmJE6g22{ngmalu+Q}>P4n@@1xS&4CH%5pW*G{da%_LuS2 zrBI4?YioB}d~|`N+)MLy`S@nbDESk0NpC&K9`F8ig|@%hALV1vfn{gb(4?taQ-JOW}4iVzc$rzT(i zII)|TirlW6`ueb44MC);IY8Ua=8s`y8zF%aupD*3EA?DlzGyH$$uDfQk8iZsRtcLz zhb`lnSft)+z(XERye&8KC(d6a*1_T<9gCI`jN})yeD|cz@-kYbt~AM#^Bghbb1dQI z0@_f=wAGAH2z#Pj5GVEP?uDMhf%M~s@HIbv{HQko)a8X<#(1$-KQ_{-NIdm$lGee> z^7{kQ9IVEP*Ib`>7hqCCJ3LbH%SfwpM7FEoR$Z60%q;f5BDL>k_hsK)%|>B)i2+6e zi(@M{3HWlgT~9x$GJd zC7+-p;%F#CImax#euQm>;A-Y>irA;9R@7Xqi}Z{0Qj&5Bo|1~A$D`Y!HrpBZxLLDlSB?A z8m}(2O@0ts-0&;JXed)+zI^#o&+jUhDExf0XXi;`9C19_IRp%e>lPxT1F;D_e*%IO zhm*4WF?@HhoW)t=z-WZC2oudtO}W^@P#)KSj?p8VozC^_U)KTUt`(hoyD^Nr9@|I<+@sq8`FcQrf}H}IH=IbK~; zMTJ}`2d{p`klwzB0`1hb0nf8K*;1wt8T(WBL{Pkk_`#2M->pjCpzJ<(lT{$>mvrL| zGO7zoc;e~;_FRnY>Xyi&^Kujqom}5Qxc%KrEN9|ClDUXKZjSDXi+&%@b|w5i<|cYKGw%zR7tu`kNF$A78YC$ ziTU+wM&Hl+6s`SOP6)@56m5wbg!M@#>&8{Cm@~My@d$q9)@q|gmgtdmMoQZ}$FrlW z>r&YR#p!_+Vak36@JDrkqE%t|I6E#a#feA0mgWi6{O`os)V!8T(SehcC((q;VQ-{Xq<}j&zKtZd}_GV=I%zs%e{~xOKpD;i`h)gjr@eMcB zv-x$pNt3jAzyczrcC`uBim-ewe&|O?Dfq;?75b^1_n~k!IP;BKzT?pQ^zQ5IZ~hW1 zr4UG=!}UN?CXA^!1tjtk<-eM&q7|q;0wnEdT34=YI*;-77w)CC5xQ zDY;n)p21)N#hb(umL{XiL44g=1$}~J{DpJWW1@y;r79~$_ktkHjI@83i-JDXY`|=@ zdjBPQy*0L?gSXTfEj2ivUs0B-lqli{0pyxDp84{rg&leRLO;fq1y(nmW@B5Xi^ymV z9T>rCk$18&pTKP=^S+@hZbeAq_UtDPd37rnWVhqT#O-zOJ4i%RIEN`~tO!XChH4Rs z;iOf3Roj2D-8jr0;SQnJadnO^cQV}XA3a)gO2b16mCI3Q~E|_i9 zZ{T9C57>)T(BSf;smGBB8^05XQZ+R@Pwo_(CBOX}?1k}#bhi8Gj|;o9z|VS1iF*TcE9FfyIb=bP=K6lGyVF~Oe@umByE2YDhA zk}~!iyRCkHFBdiHSji0!;jkb<i*`g@gXplK#_W0BE$d>KHoLZ6?q(kNf==TGr zPi+iMVJK%;K4`clC+O3|(}09)KiS-|u8%TN58`ADuDqpj*wf_XGd@1EN&FkZ!Ji`S zV&5PrbDKO4s#o(oITn0=wOq<4#$1%}-gv5Dzmfm!bV#GbUjHF>2@N0fAJ935`;@X2 z_9n^$2)TygkVHDrr=)fqI11Z&>jN%lfWjd$GpJpm+mPmYP5)vKWxmAv3?q@rDV3GS z?@I5x1cL_n0v;@OPdr^z*3prZ;7e8<#fnZM6}dQILbx;^udRvnMjf&IXwMS$rCHd6?k8q!1F{5xPo4!Qp58hldPAs6}g(oLC9}Mk`um$zGAMQ8TIg= zWFw~fiG7h(!|ZOK=}hk)YpaePIOLR;m{ok+N90loQck`yK~S_-ozL!VG$%zxOMxP@F*#PR7nYm;{>-J3U?96RLCd-u8fik+r&PiLiG!4t9R+9cy2 zl?|r~zJ4IK&^>=QO3~m{0uSINHs~Xrolr?@>097=ep73wMI$Zs#(TA0CDZ_MuE7wUz^US|&D1Bj+m=tj9(Q$A&t1u83QLOLX;#fnfqHssQ+x&@V64BzYt5{$Itbr>$UlDT)CBjt3qU| z+!mRzVS1PT<*A(d>8M6YYRh#$8`BRfe|Mp*S-#L+19@nNla7o5NZPrMDK~$HLKYZb z!Rxj@fIxgVd@PTW_Tv>BakuXGb0of2;5_*HxnQO(f-3)$cz`Ut6LokUB!8xoxI4&4 z258Hb8(@8fG!Bd-76yTuY(g&8$}P6qV`fnhX`*l8KS=vj(ye>UNk;t{?TU@?KMi&n7VN;Ss-UQevjld!CGNcAz>G83<&9|ZtVpv+Dyit`whxk?MQ|R zSkNF)**X=C(-9Ry2z5DE@*OSY1;EUjzmc^jf7+&PD)>-uXvXLFQ{}J6;j`m|DeMB& zLtqbMXhVHDcnZu_b}o`Qtfs%JZO!pyc`54W6xFns-}ygSdk?UvuC8tPAc^=ygb-sy zX$FWIjewP2j0hSPVl<*6MJ%9nrMDSl6qFVrii#8^iUt7@0i{PkR1{F8m!U}Sz0ENH zz0ZIpZ}Pm~_y7O7ycCC-GyCka_FDJ4*S(!U_-tK|`J~{6-RP3}>S{HAP|n+*xi6EF z(;tx)WA)~_!>W){z2w-EW#cJg;CWK_QXo1qkwDz*A^~zm;fsTk7 zlUz;?s~x#Sw)KK$JYX}JN;vL;6cM;@U49l_Z5>Lyeo&kSVMX!zK+N|YK2$UnpefAs03HGTzQ?W;>JE0svB>cSwT861m9=xUpqm%1VSOJuU)NcS4wQ*gV=uc&YhVBa8G=>fOrYGXM@$4y^06rZ23jHn;3L|b$ zNe`U*tIt0AN&t#${`l$6VK`N=R0O3aiC*Jslx5sP2!|8XKr&MwR;7lX!;2d%jrU3- zyd%}ass&7vM0(n9b4jRLZFsW9)FbAuHRv!=o#<~vW3%%O-@yE1T9U6snu{fQu@1Q( z`1h!%L}~{v{&3oM^ps9bOZ)t^N7qZOsi_A^fG<5xUX8J6Fl{!EOh`DX;P46KrwaS8;z}S z1Mnge*HxTz_#$2f_3oIT3#3Octo(#BwJ?Hqq7-*5KiETQjirZ2deH(tiUV+jBvb&Y zkR;xT@Y_g98+bJvBqtTY_GnC27WMqNnaYVmM)<>Aa6q-P$GFA7@Y^^2GU|7Qm>H%r zOXT4uXdKY^bAN1dh$7%U*N!>EXb8BofkQ?cW{uyua|eqRn_t|e=o=?#u864x);SoE zfKf={oadc`gSQ7?q9mkwyfva|ut+m2b_BbXl=F`ZvfJE{gGP8<UJmH)bS41`73KmO z1Bo8*#>F`$^^6|{{!P^%q`jL*=AMC|{k>s&3~o2*l0#Sv({LTOBN&_L;Dy%E>Qo#A z3`>+=yTtDo7&JG_Lsi4Z2YTgKt!l=E4h##=fS>V9MmIW9mC$mq`2%a!ORTK9aICuM znsSL(MyZHYXi8`478g8#9Ug!b$*3QLWSyG5^&o7E>@y(YWx=C|CTT`ncJW^1^D>NC z3G0hg7oG9~P$T;onnI#K$L_H#;GBLr=>Tz*TPUr0kg1Zv3pPPf8tBZL>Kq?7;SP%{ znI2h8i8{jE!CL6gD?$iu(D|v2-)!vtwXa9Sc73OD?92ba)}#|E>z&=n>7Kw$-@JK~ zJoycFV_0C60*-80`9}y37VsFe^J;bWT9!4aniZVmEj*egj-kM`066KjO{R#DTT0!b z|NIVBWo9P8#wq}+`vFKWkvxbmN7X-1)_|B)%sA_pSD{Hlstqq*T+kUYdgc0l^j@}> zCG7>00Znn>hbXDj`ix1O*?Se_P|0Ugec346aIP?;VeefZu%!Xb>Ry-%=_CrRC{t#C^F+6BJ=#^{yD3&Aa6 z4v>V@4-!{(`fkP?B=Kywjj|e}>dSL*Cs4tR>{*~SRFq%=zeaD-X+mMl7TITDIq$OM zk5m;X%M6WgwhHj#>>2f!P`f0qTI#7v39G{4%}HxPD)Ri8SLWP;(L?Evfp1*;TqnO_SF zbBvm6y09y2JW5<5?P4#tQOva=I_+B3NX4B$`p(sTIs4wehWXDHW?ei0D&!A3`Am+c zyN!(;?x1c7>0PALhac=nCCNzeL|?CrPbUniA8y`{Ncsdt#T%^jEAfn%j!WqMV zu;KV?2vi(N(PJmQ{nRpN7XRJ8bEiJ@SablH1`x5_4!c0~YDa6`GM*)>$KnD1Bw)m| zX8&nIbP5dxjiUf)G-_N&-y|cx!aO78vm^Uk#X4^|-;etm0dWwrnSdVEoZgNk?;=~OpB9Q*rEgmsO}RJ&{1l;J-LbLi%i*9qNKAs3L!C4j>u$R+Y%ge{CO z`I-l4kRN$WKJsc5SVUsSjIv687Bh&ed)h8p%1`wvO*hQx1@_Z{Gx6-5*hR{JR@Dr) zZMF6Prbyi05WIZlxOLOlB#r zdrihFj%u2dj}wg^6uXWIQTKkP@g?#*N|3<2ULllvlSds7sZ0V;#eOZ%`3bHIE{8*` zOyT_Sx-3Rk(M7FZt7}DKt%~|QH1UFr?tpvNs5_5J%oMS&&-Q**2_gTr1k5@fsc6H> z40|hIWE=kC5P>~${U)s277!TN3X*J_^S8xor9ApJ!fW@}VoB@55|V3*JHyokTc;au zN=kDEjV8$w3{LY2qvypuqz*4&(G`IuO=DR!-YLpQh_;ZGAAn|?;oPw6PJmH}vjTq? zRWPTK!w@|V<5D!-Sw6|rkCAE2KE?0apSSQNXdwi{S^GuUbq9!0k)LTkcB8NSey)d@ zI7p-9ssJBVjnJ_Pi?)RvfQzX-p&n5MPoTD+IkxI+6>1X^=OGu~Bgt58@>FabiP~q^G)nX43>C0`$egl# zHe7&-fA%~XoBafh+$Nv#yR0jKHUf#Ve!+)LKViFSgd0YCeeK#%NeThd^a#9~R1gAa zhK5urom?IjlK!&OM3|p<{V(+Mpts=c0|0+RIu3sC-&TL1+CgDv@@?K0khMbOw_c@lGN@sGVVM829^-Szcp2;eFk1z|?LxQZi3O;ZOTP#f`wuAcQP+ABo z<-mj?YkTK}1cnV)wh+OVyM6-+_)Hyn0hM0w(+13qL@t%Sn3tg^E=p7?#~*>hLqGWJ z68#o$IIEgVmFrw(Lb6I@u&N|UVpK2|Y^Y{UZY!6^zjyhC-;(vR{KN*`EU%bJGTs4U z9ht}w=99&V>)xRe7JFv^R3=9m{r>5FCBe1pooEQn_A`FUc728lR%@@bGTmfBsEEvTCP+rSR0_qkA@qOV^}mevyL|!E zak|(5O2o}L-25=l*ijCf-aTx_Xk8~g`JqQcwBQ7NrrDk#mxAqCR7C@P%nUNu`0HWM z#~&L^Em!QV={%N(LDUC7FFcuN(xOO`gg^3caY1;JA&(X@tmN%9&iO$FmWn6;)J@{cwwWGGYHJYY6JZ!G#io;b zy!ClXu!qceeTxxpL@#l{q+QVtIanN#As~Fd1Oj7})Zf$GGa|tBB7?FCL6jP!e<9=5 zyS4Ow526HTO*aT4b)^3j#1w7bo{X40fC_@5<|qDQ?>1BOd8kmas0F#7(I>ztp6LLE zStO(<7qMyNy0_^cES5fT(#hr4@o#ycdn>0`ww8Xa`jlDbZ;Au@Ucv{7x5a%ReX{W9@q-xb&Ih}GAggKFVQp?P}&l(uaYa=-saRIjfS(M?sw*3hLGgDH-0{D7>FE?ugW-G&f87@Y9t;UcaF{GaqDCm|D!s~+mgjt3&(sRu$a+;gmQGvPzt~jT@}DiMsMrfn zgLYf8w^T6(b(K||R7B9(dK+WH`IC&= zl5qt!Zbx*GYI)l6mNT-7Wx}mkO2fD0;OS29Eu!C)%QHm7xgA+s^gRD;I$D>Jeu>*2 zt6A{4f1&$caVp!CY*B)zM&;rilNd0QY6ePGQOD7a>vkQxjAD(vR%#YTwCV`Yoy8j` zCf}Y9HpUpIzio`m$b$*q`@lk}*feDnSQ4WBEk{lOZ?e_@hb(OVo=1;&{-sF9C0p*J z=}p&=(YqX|k_SKD4&c?ZbM@KU@4^7Gck(W>0?t<8q^5y9d9T$b?8b#BaSW(e2)zkr z|He!7l7by`ZdXKe1SgSk3Eu3;JNJOsINS^Hd_GVrL}NT{t4q-IBZ1^Ai=i~0#}5&s zFCt6k11UIPf5BAc^q}L`T4=?{vO0-MBzUl161CN=M{RfR_UqZtGEF ze5zMpU*8-sDzdvIf`X)y{&h-y2n+5(9IJhwJMmHW8Pa#rGAC(WMC&;u=@j^DYiP zqnLKQ;KU&++n8h=Ngg~%&A!8lsyGJfZ6S9ci!Hx3h&#;Sn2^dc+8!$?g=^Zci(aKZ zo4U6OStEqb!Lpzl9^-IPZ@=eqx zJ*J*6W=^myii2uKGIj3p7q5g4`LmELcC*KLfeAn&XHp$YzqxR6n*-6~L+RZs3#((3 z{@ojXA)O-X07FNpsEL(U3{O9{@Mf1!gUFn3~F zQVt~NMv4`P>KfL})Fj|_WPga36;egr-xMZy{6lg(40(wJR6JpPh@dJmmVvdP62kr+ zv9T!}>c*V~(_w~AJYqlf&IU4$$wsIsFxCLIZDQhqLk%{|GaiLBBRnYHgyjs@XBg5# zK<-K1fs@mSOf^s~8r|O!6!7?0fQ5$9con=H1O3^&{aO!hdk zus%Bjy9#tHC5M!0!8`(=gjFP!M+(hke-ivN)^B+PW)qb3fM^1tBRrHUFQm2y*@H#4 zG2tY|!CS_K^lZvP#vNZyGIvNgAvRR@oN%afZ4D#UDMyZMcEO-!KPC1gNLY#hT&C+p zPwD9si)@cJu7MC8h6N$j`WeP_p)NHh)9kFdqVN9l+M8zoCWCason=l^e z05sjYmw`=A;x>p8%-W-$ITH^Lv>z}U;Nh`fvR+JAvMYRsj!u367<~Ic!|tBY=#%78 z=mJhODjtH1DBvW}`=y*d|2uU=uu9@C$W_eR!?-ElS_C;9QZL}Xd%VPI`)D{=xkm(6 z;vq~GY1fN+!2lA3pbR0O;?&2vhZ%*rXLBdRzt{t4HKcM42tTCQoc5Yc|KMeIXo>@p zF;b6=c&z-9+~3s475r?WPk^d3sLJa7j#g+z&|W6<6gFk#qX?ouCsXnJF8|)q=WMnI zneY&hG)IXE63Rw|5=zUo?T7tG4cVK-Q5Y3dh3R{sk^@4Tm!_d4OnZzMuy67Q^M$DY zO~OeCv?d8q!b&ek!HavNJ9KzxhGn4FP!wjNlLV|DfMDcg|GdzO9+K&p##IPJ=x^&0 zh4~;V0mL2$|Mu>4husI;zn~f!YNVS;3e%i`jS6G5Q(TqBV35cUa1~yJdH)q6N%T+D z5}il{lU;a5fc3Nv1uC`gk?b5Ug%|Y4Q#~i0GKX%;f3wxANzsc0^tiMPc(aTA{C|!T zynp9AponBy8B-BlbJ|5zxH>}`imRHbz1}TC(E-08#4Uv0W^sGDlQf$UsEm1lhv=c* z+}e~ulPM!-nw>#Npue_JY8R$GLD4P1Z?^^k)#YwT(c^p%=~rjhRq4| z$OZG7J76+ZAp4Blr^yyp24xg#5qLVM$L+iFgBON_Fi&;y@!m`n9qOgnIJ@}HZW%*h`K1(eFJCllK5A;3rF6Lt*HghGu{9Kk&z zFoMVpI%bi9Bp9X8NKl;e%%LkJ9{4j1p;|K_qAT#!c|&U|OM@KmSGnBlL#E}l^EV(Y9XQGusmznFst-mXB!$0f93z4+53Lh(gv7( z=Re~IWYgna(+Ut>f6P>yS9<_|)UT%dnwpKI2J^!32Uy8)diP8jeDx7`AxX8%40a&b z{)3P<`|0t&p(D}O3kjd?Oq9BHaJT9->-F8hA;4A`m`Nf{>&8%`c63(}ERHo%mJ%cz zG4Upv@G$A1rub%=Gk~(R+Rbx1Yh=S4Om+GuPZWsK*HXZ~?j zDp=;97O6-@-Y-!a_j zx$}-?^S&$GbCA+Vt;zxh3WL(Uleh&aog(>c(`|T?7Vskpu;Wx(_`c|!yhTu)^nu~P zfd-4rk()(CmLcEzyy*vl^L9hz~0K1y#PYDddsmf^a5K zfRtvq>^?)o0-lr<9)ETv-M!qt=A>&qJ6BPHGpPWD*B^K8$24V%mQo=7r||mYo#6wn zG4;W-5-<)UVPKu^{wR&ZC+hKkxbt%+M-d_=)8t)>N+p>1*)sT$#Bu!xTl}#N6*VL2 zLjsdNd2#~T+>cN=()hop?daF2|Lq(USz48hQu$kAd?r^!So@=1y`wYdk;pv$CmAfL zOr=G>vLNEUg!l^uBEQR|a0%L8Eg3eyU*VFPUPQ5TgfD5P|dryE%hA2$q4}KCqgR%xvACbsIP=vVo^54KV)#FWl z%~8+FgLmZz4n4#QO8$Xa7(fs{oZHP)2y=Qlqw15Bp*pvY4?wjiM~?Xl((*)~Z`ur^ z;or=1aLVOLrGW8B%3$cL0%Tkg`7(W*=c8>2F_^Ocf&F{qBOr7Txx9AM@e@U5WP9yK z_4>JWJ7hu%x+m*ow@Qb;)WH#iplMo$JK)zkAq0F`aj|U2X=6~B`^SqIQ(6U9Ha1U) z+F5uh-jdxvh*KN1wI8Uf?^_ytZh!1o%_k}k5En-GR~{A~KCiaU0putp#uWS1CBk%Y z+fSUie3V_E^YH~1j5Opai!**yhP|A*_z$S~Iie9E)}E1;}Xc5BuC78E}T8xgej)sZ>QDyTX=n};+VPQ^}3qR<=`FMIiU=omm5TWmapXEMz zqGQ;b0m(bm`QrHbepE*EPAE2z^nT8bTFN6jtURfEb{{Zd0tHLCkQ9VC&JC7Owixro zNrtD$JM)dN|LB8$9~9Vs^yJC4G*WO!8ozKNp{)$Os+Ag?c70v#T*a*MmpB(j)NV7C zZGS(p+%-+uKLW5G*v^c|?)1?*cL6t2V-D00AB=frksC499+7MeT_m zEB@3@&0$Rlp>&9U#Ya@rL}ocmEZI@ArDPrYhOl6#szDRO$~D?VqLOTd3gu7S(}Yj; zdYGhbA}oD{8o>rVeVns;IV{ZICo9vnn9YJB!)HY}%g79aK`p>{WuK;pqPFKWOO+M! z?64cHx_EktR&+G1q_PDc(=#J6v$FsGvs@Roi`Uu@uBVFk2@e6z_W3*9rK& zwe0X83Ul!ZvGy`2-GZ#d%tZz!?lP}qt>Iv)lY@tGDmkLEYB$DOt)kXJ&UbS~zt$9C z`R?juh>Do28vZpAn(-a9P=rVjd}00S)gpkR8ES27lp>>p);_kS&c2>2pZ+;&I#5IY z$FWq)y`#bqkAUolOz^X|Q$pI>xrag-U&-e;D-D*W)y7(QNSm4cskoVsvLikdn*0>- zTf&0}UshUeu&H_2Uu;K?^TmnwnAZ?=BPQ)pCXP=O5rHu>`G#MnZl+_1nDJe-rCk1S&&*@D7ru+%eU0y!Vyu zOQp?<8p?!07}wE=2t*|TSP_cSp`6YocYnI0jhD`x`80!|$pK3+O#C4>*7;%G?)Jmu zMY$!r%-vIa4x7~+DA3&-^~%TAYcMpnoXUO$$#WcS)^dtlC-^+%(xv?w&t;_7T-gpw zukK)kGj2f(CH;v>1KryrtZt|^>B2&hhP9~J7Wz&#{D>Hp83l+fyV%98!-_q0W|;t? z)oogW(t{yB?CmvIQ_{)3aFZfLDggmD(L!oTnTr;>gNTv=xqOT#Y6v%dFlCRcNBE^Q zI_FE5DfZ^>4m{2usW=_jQPwUil;_K54O#tRSZx&BT4pHHKkOq_<7xuA+{5qQ*cND*o*0qvdpe z{rVloFmre6bF6*J^jD&iN_dJcASIH+CQncEJw?og@aw~#eSZnqqbjt_lK$GZvy!|Z z7GzO+4wF}X2(5^BX-`uk@IPsy!N|KrMEWZt2|euzIN_1o=ojm0GKoy*xnI zhcH=a-Z<=Z@?#h3yP9N z9YCPUo@2;L$9lDIwsdYZv`>q143pH9!YU$6GSemGy-(d5&n;^t8b@R+f`=^JlPq*$K{G1KSUz_q`<_GR@W#OeGIYF45U!j1QCK zfmeHo*SGXv@O9U=fe=T2Z%;Z~rwmG9jl}ogKZ72*z3ch+p^5azQ-{96zm2_gW5ULT zgfX)$+(mk^{}cLgVDWs4F;2YegXuxSBb^Fl)1)JcbYTM^%PW}5BOdC|Si?RLIDC=V zBu)(wt9c*(l6SZ1FC_o56VJdv^mw&q#Fbsx?w7yo*%is3KVeSeQ1zd4D%vOew~t%e z=A~qo)u!qNM)-x8xb5)~Dwdg^(#%ck97i0qwGVhsnK$*kF;_J%Qtb@2A5Kz~uB}30 z|Im!qsVOC=7v}$v?s-%1`KK{Gc-PreSSQ&}uU@|F1Lxu0;vu-nKBS}ibLZ;|rt-1^ z0rbq2X$>2G84$9AH@w0z^g0iq8Qu4Ru8Luok(Ndx7_~*mvlqOw#k9Ew8;l(-s>zZ3 z1Z#5lbGmO`$fJtxBLcZJ=|x+cU1rOBwWsD6UmMPQJ;@Wvl)(f57qM<+5 zF`Eccmt1z2g93Fu`d|9Q4#({o3`;p~-_RM-gnfDRwgNS?K)hFtk8zMLFk*E9F(kPL z<^@Nva$Qh^VmPzJ=#@#_)^M+h_IF)j4=0WOBCKl#+N0^z)tuPr(Z0>(yu4@owtgh8 zEk5p!s=B%Wk`?r$|H7fq8>d-2K5GS3DC6@C-nAX^2;<#c06SLXD%K9$ zd}!+WKTPzDm+#b6_gWKlu0Qjx82z3|3AC^(=x-Zv=G0*`H8@s79vQqlks1=aCHned z{t=lx3q)RTd-Ty_csENPf8GN-sEWiZo7B|*&(82_G50zOkDgq1+M@6HN#DbeoBoRG ze9iNWsUof`CUqiXq^Pk!UrGvYF}eKKkjZmDIVGiuXnJdFlTMp9=*0_Y@0Gkw>;I!g zLryZEF)q)&IlP$MjtB1Ol%dF`37P3 zuGm;O0%JG$%w^@&$llz*FsGO=X=PV5PvMu>vE3M8`8W;k72@3FcPb}&Ep3bu*=4Rj zdJh}7&PCqvi0+#n#ls6N+tfS+sQNbL)omnnAeX7=`+l35=kOs~XwwZCxT({G>qfR+ zyL7g;hrC`a_n^c2z;XD{E8s)R5O%TOU64MW6oDQkOl+Si1%DJy1MrH(p%C&fujI;DV?jdovW^{=J~fs zk3-v1qy9WBO^%cEK(w@+!y?j$41$B|l#v{-OZ&|bY3W7-#;^g;=<$x-B@d|ZxUTl0 zgmc!Qu|ek+o*52YF-w%z5yr2XB14Cwd-K(r<1-epCiXjbs$jVod$sTTTE(twI-5x8 z6u+q~5fOpA8sVR|E27&)9gB{{FFp>IhD;%G_n8ew#L2$HDwp;$voFkW*+q|Z+BzkT z-5Gv4c5ci#@I0TW_00Qsu3NoewT4K4sY(0s^$TSho0S$YGOzgiM6_=`#>>+B-Q5+f zmzTvI;B9;6K@g_?3~F$W)tB**&+hfNA{8unb*AS zS@hc5rcp+!owH}6ZXV?as1BY`p{h}h=yZQfZ%b$Cyx2Z;d_U28^Y!szj0tlOLbFKt zq4Zg!4_x36qc+lqGF#|rKvXvRiONZUkB^6jyq38M+}y_IkZ^wo%e1Iw);^YBOnin& zds#AXX40_$mH&L#vqcSxWUTsrBuK*aCCL9zM*nZ_1^r&8kB^HLv9Ast5b*5ph>0gL zGA=FRnZx_)O2~%`LeEaT8Zc+m!;++RJ8;_36Of)z5S0ga8*Dw|qx^7lP1^u{SBk14 z0u*2lfQ`{8BQ?GS1ettP(t?4agSh91n_r;hd9|vl*sz;t@y%IwpJaf5mXMw<4$5vn zsA$6P+?lUy+9ARC14uQ9Z7;}f?aVS?a|P$qBTQp;oY7EMmw@KMg@WeU1`3pJAy~gn zXBHa6T)@Y0=~``KO}D4*nq-@U?2Zy5$&Z%wepclCLy#;=UlEofCWVaHAIIEWHe+Gi zK}Y!_j$cRH(mEN?B`-?(Ildgn4XXe+97(@qUA7yt2Xq&C>npAzfJ+n9gF$|D23&BV zsMW9l3eOq_2!676mRwt51+LQlN~_K+$oaY81OPKHFAV^7`YHQxO#P3`wb2u=i$CKgmh(cOP0!%+^fd-H?V#|@|rrEko{$qN=BS2X+`<6J% zh4>y%T8xs~3%8E3;*>3usy4Z&LS3CcGd|$+O%G3+;+7f4fxt=k;!s1&D@S{o>vqg* z!Va!gjVCiZa^xFwW~1)Lg2QX4kuQYC9l1*Jtlwr$&<5v@ImW+ zL;xO2C`&&` z_QK1fQO5C_4!0fg5esiBjDK5@?1l{+$T6QlKn)Al@jC!-$`~4J3d|=NmR$O;ra(;% z`1VXmca$hg-{4q2Ynhx_FN}pu>9P);2HO3*>{df{O1j6p^`&c3H3Gyc7){BniI^;v zHc*)~(EB1Ht08n%HW|w2cCv$T$(5G#sd!>c_s3UX@$CU0)!&)rIjU7%QB$L4N7kWW z{JI^6!iQ3-`7;(h5F?v5QxELam~}gvAbIHT;{%bIWE(fk>#>0laHd{UO0()ve?O+r zZP(naoy+2+F%%`;Ul@o{N-M7JI<>h*>eE;WqDh;Sek|A2#S{A+P#lBKhe`ITawE3^ z0a~00xsti!D_=|k3|ew)B(M}7j9Fb-Q{z|U*>f`N_c_^f(%eUF*hG_Gx^ap{>NCV8 zQfz9Eqs#qLVk+G;7QSBRPmqA`IcO|M<^3p=BQv2WnLj_zxum-POuUCoj}@zv7tY%T zZe~{;E5}?N3a||s+5sE^sQ;EASpYb%Moxg}7YJoJDGR`Zqjeh#Fsi0Lj$+JS!TPj> z`}e;9%IHQw2m}2weBD5E0eYIOX}7c-KJ4=L=99(Jt{IsfFqSj`F&(dxg4#AuJ0{E}ai5)6UpE zGNCVf(h4zTiUiZ-FHLy#$Te~_=k^TLk+ydeDXyo~&QoETWZgCbXAOUhRc$JJWX+Z2 z@B4qc^Ce7}Ju;xMOOtUa2jubz3DWo?!dk6BjP#?*%E~PzyNd{wSg5qnxHaRUq;<5e zE7q#))*E|b@_;IW;@3Mq1r#WP%Wf6ko!`=OlpL#}TD%4yazIu=AIg)r%R3*R6#Wfo zlT2+@PeCecpQ4p43Qe2PB=2N${M2T2IfR34nO-x{a~T)<%#OPVT~YuTqd900!1m@8 z9n{JUtqVY2NsRO>E7{(SeOPvWlcyoD(sdF?sk+#fH#qj*I{P9%NsgINCqsl339AoB z_iSDoEOKv?)Za!W(@N%wXdpr)&wYvx#QO}4ha4UaLnRER_G1EBuSy*B^maweZ8+?f zv4Exox&hIS1>A_^RH`~$y^zy;=*5|6_;Pms8=zWE(ei4_ZENa(#15KIm?k6|82Sqb zi|&tiF0{@J3G3}#ni~$l6@q}|gn_pw9tD&WgF!oJqSiq6AShPz&^{_Qda`pkwXPKp z)D;sf*#;0<myOM(scvM!Dh1n%7!kP%2akOJ*8;Rm&{Th-RVrYbZ764u2s!W>wR zMM$>Q;VCFc9x4CagDNJ6?BvR`AIoF!!H}yV_T?wa7&kpMq_Ah&AUgn4v(ZT-qSqx9 zdjmF*YGGg9nux0Jq#LolwYj9>X#@qZGmukdAfu|Auve}41SwsOSV2tiZP$h~3vXb5 zL55@9j#0q}s0Igw{q*n}qhT%BQn2h60{y>V*_GLAD>N!8B9N&=a^_>AkHh$(H4FSu zWq)#5C=oaP++OpAP2naSBln=y9deY~xtW8PK<|SbnlD&|x_ayP$c2!FYh79)_;TCL zpA1gM17<(%tZ0+Z9SR#wofx-qb1#d?KF;HH2-qtfVjbKRx1F#}^`o<%aH%{In-Ij!nXxu{sRd%A_YgDXH-G}9ao(I8r zazsPZ2e(5%+2b_mhv1!KVm&>Y2$Ncaf+RE(WMAOX5Q{Km=r*;SosWzm#!7=m1$(BX&~sU zP8qlX$i~nPT~q^td;8-YVVOp&)|LAhi3XU%TE0A=S98jR1cr-Apq9<2mOO6Wf8s#E zT9b@w&hsbBq?g`GHNiw+EAm|L`r>QpgB+!`PKud>bIY3^FS}nGYh|`VdYne>m~@2R z1^qY7A!%u3*`6Q{q=UNRxU^u+1@_kqhzsk+3-8EEU`-e@R!U1lR;&roCrRm$%kTa_ z$IJih#eR&7(l?-%NJ~qK5qLOkv6NIGYs{Zz@e%4WOdJJrEUD4#{9>S467r$b*w`Le zl4)8qRrNbwZ0`>ySeJ@1`Kf`s<0zwC9N@7?M1(M<$a!)6aXwK! zKqb@JuM;oWSUW#pe*~A|v)P}M2_i#IC+b(^wy^woJ}c19*#|`O|9a=xi|d_jz|G?NpvyyA;r1}cM`ab$u*TXg94n<6r@DMze z-#yq<`U`vFY{4{T{zXWLGM!`(Ab3FYJB(B5!>AdFAOyZR7HUZ*r`s0EynM~6ekJ?I ziKpnta3H{v-(8&fm5*8w8EG?Q0>fPz&+$!5Y%VX^0pOgz2n0f3Zf$R#L}+`oS~;)0 za{2rgjk?fZD505Bajo*6u&FIIHrLM2HOUh1AC@!NfVeSF@l0Fxb%H36t2k-2$m_ez z&&!)kI0O1m^6tpFMaE|>LUehqV*kQOe(xEyOG}@<*<)Rgp6774NF&wT zQ+h{dcRjx2uh~vWam6IEH9f38QgNu?GHb*V8zN4oy2%O{i`Cz3W$T!9b*_kgn*9pW zHbRDDN}eG6pncJLVdtSz%A!}JotjlFOSp(J&eGYAg1gf6jLbz@Q&kZUTF^(*3)sSDF*LbT4!7+SZ-B89fe>4&^&qvpb{g%+%$sSNw?se`Az-1 zPu$8crN3$ivFJ*&A0X#Z&HC@afASVj!l=|KBif-#?ju&(+Jq1>Uteu?{drT{_YlQo zc0uMx*<^f_F7BX&Ucr*liFHcw&i_k`uC2C#fNm;|C;=IpWN>>^jC1V!{^#>#zv8u) zU~igiZ>|FIAmQE;FPGr@0hb7%%R{Kh!*y*W9)V2#dpj-VQt1pJyu;E~J2hz)ZC9D< z1m!c;h8H2i#OzcUQVH|A+x`Zrf-cbP2y8svL1Tbok>Mp$v{*(n8(F?VN=e{)&oy=D zSrWc`NxDn@&v}sqLo@vYb7NjAt#WZAtv%l9^Ul)tcF;ZAuo(v|r&OQkY%ak&?m^HG;qtmiBwsUCgnalW1^D}K) z)iXGyp#Po3Xc_6ojzLW^=V*=Uez&?0AtsAZo>{>coqXqb*u9`9yd(Cvv6@zmau7?% zRm;QVA%)aGnZ=!)UcyY7?+sSbzefr~y_j$Rv>~zWWWbQvcGBq&DiTJL`A{mH(Xf)` zqgp*Wks4Ogv<&e?Z|8=3rSS$~hN!+K2YIJ-9D_xth?188FZe0L#e)3~{59Q+ok<#b zr~upnPZV)3I=XPgS{2ipxPH|W4NCh>Or%J{QQ?i-aPio(rr5FSLn4|^Rjc4@1jwtNA6?I|+JsbY>~4tQW(^`BgMC|c{6I$~~Aik&)Y zdf&-ej$Ep(=L$3Tn3&Q7em)p}pZJl;Tm9#J&fSr`3nP3snAgi^UzJU8`q&{{>)bcd zD#kCX>CBqu`IsWE)qyUvIio)4qGeLOHZUIwxx67%cyUW(f&JIj{f*8|8Do2D0syWe z?RL1AY$em6B1(U9>5z%`A9w`#!(lj%h0qdc^WZr=GI6xVe^kYI3duG}_&wehANvs5 z_B5x~6X9&}f3dMluWkQ|%`%&KPU@}#a(HO*!Z3& zGjb}#)7*1yT;_-l;$Gei2v8&NsyILF-zW9tWA_3-vTQSi0P%gjHW(O|YkZ6&%#e=L z=|eN#Yxadff}NZG19mPBN);Rj$d}|rYjWCow%y{Yio1%mG%^;6_RbxN67eKCiVaQ- z&gIxY|gC=2+>>++CRTPqi(?`g6n6HVcnwtGG_EK zLwK-^OJ1tP8T|QL)mX6P0)8rg_dvgod}ie^>uqoP&%VT=TGs24rF({tK0nqE43k*G zn?ObZwWEPxUBGSAEys2(V7&B-sG_1cmA~s>nFLA!ym6})iaU4e6>VAfyrZ>f^<%&(^CX*%0!#I0M`2aOS_616^{R2a9 z@#rH%Uq5yg+=eq&`Mxaw(MI`3Cn8ZmjnH)Qk)houbmkBbBs+mH#>j}{%2s%nxgW7V z-lQ*`c``Ze;`Z&EWu26rea9?n!X|jRmd{9`qG{VSnrM>JaK{Ucc5B8S6nMvHIlFOLW6d(J zxERN2$AR2|nuI&Fsry6k&(koR9QG6$LN7wMJCHoxf>>bFst=8F+7-iF^TIp4Uy%~e zF;yHL2K<9DRm4>;yk;*%JATE=d@2fGgomq$X?EZ7tly+DR)6}T>)_GO^$H#;VN3H) z6Fgrq)FyhC`ZUw1Sd*;D$X2*_O4!`VI@K*8T&$VwKl4=Q$l{dt;Ql@Ap1rvfEn$}- z&aKr;LLO$g`+L%nfbqzOOA3!E`p_oM-uc5#Ip=daUhsqqr9)vtWM3%uwX8`gHi(acAG}ZI!)$bK z^|Tk8Y0C@uCc39%p4OF@>6j<&7pBoCZCbh?WjFuy)f}>(PF9(u&~2bN4!uLVjZRIw zNqFZI@0@T0dy;(Sx7yws7&If-_k1tA?Su?9RmYli2V+T!+r;o&Yp!O+PiZ;3tv0HR z^{=*1Akr?n`IF|FUzzxH_Q!jTFKaT3mMAG>`GGi~Z52DW_&SjT%ziq7!?hcQr|N|X zrzTP?<7!+N8I|q?A1T%DGBN62wMninA(zNFY(IUy*-(uvpIlD+b1#p{+OgKGu~$l( zmE&zX(Hr!1J=D!Qy4of8pew{@^GwXJPBz zPfdSCG*_{|_xOV74O4$0KS&Kd%YDPSV}>ZZHr~=hy3yD6vsVq9z-!m05n6F1VS;31 zxf#Hf4kw0J%#LIrXaE2g>!=oGi*iEip=a`S#4o z-Z>23O)hco;SUT|fEYwPMF7nj#V6X!0vj1FR&Vr9N8o8&osDGl~ zrYs3lWM!M@?A0*AX((46f?K-Wv)g^A%49-M2Tsl1v`i+h`}gf^f0vG5ip3^2GxZDx z#yyZ^Bg_w(twBcIO9jmkTZN`CNq_-rRzMz3;RJSIhc7Lp*15o4e82mOnw?G^ad_!I z$L-BYHR(pDYXRIT%V=V+4LX(8y)wCYh+@B>C4n+_D%M-ivV_e-m z*Lrc1H2t|KuWxL>lW27D@Nr=((nLkV-a5MFbUkCN+utSCclg?VmY=VL{5;)ikTER; zQ|IWE;1D4^)uhDt$F4rX&xhAs*=uOnxos74A;xU7RkKS?I6te6zYX@RoSnweXSvFI zC9%2Z7`w(EjkV7mQC1LzzQQ>oNdYz~WImNVCx)0SXX)%1RDD_6s(G?Ldvo?LcebP3d-)l|Kvn?Id?In+PM?l#n1A&=CupfuRbC< ze5h@?Np#yOJzbP7kfciUiOEdGtwDf40p%fM(S3ET5YF#-{ZtPP4c` z&|m2uVT1C3?MvqawSV4xpK#no7l+lkC^)N#2k@qv+J`$@T&tYsv7QrD{ob~hLq{U~ zus1HBdaT>TKHS==0^%YeAjxEMxB(R%9zTTp6bFZ0{~D4lSO(J4P_F=HKX@w#Jm<+h z^O0tGoZhaGKHIUo{px5RyS{L8^#YMICT#6%letBXNpia^fjh_}!I8CCQ;O>yU+de} zxbaDZ&#wM~igvJ=P1-Y;t5+`ig3#b;*0^*PV{w*i$@M)k!!dWS4}q&vo^xCL*HE|( z-kl0(1xF+Tn~u}VS$N3@WJ^#a2xV~{1o5)3x0n9dM`#iYjSbH;hS>yMQ&0S8oO__ZcZF9rAb3%hh;oXicG#Rs!ogX;rY1jf9 zR6wFli=O7~oQZ&Cx6LaA$%MBJeQldBU^2e@nhS%(Dn35d{=4k4N4V`;NKw|Er9M^+ z5h;J$JjO!js6m`bZS^ECZsn=E&jIK2GKa3gkw!09=1>gzJU~!LhoT?Yl1T|o^PAouYy|me&KyTip zGedM&w1&@IPEk?QZ zrm&JDyt)pv3)x(0FS9K+%h$#0BN4(}xo8I`b42`&Q{eOUz0PIa6_QzE{aI`iPEiwM zEhi;)e~9HaRClbmmv%c*I}xRsCDt3O!)9@%xJ6?nq5*dW2rg)WP3lR4sxnB#f|uQz_Wi69OGa-?(e4 z?ON>cDV3jdX6`~#9%22IBQ=>e711#`q1u01ioL`ORDX}+BYxMsOx%Tzr|EWIRh-Hj zJRJupQKs2MIF)HMWy|#_UeGnt>wP!eC(8BZN-gs?lxU4XsE!eNg!pne8CM%@k$jLw zB33j#Bn2{!homO=vMVDv`-l|;*V-cZWJpxuYP~F_WVd(}Za^@VU)VLl*Rt+azc&;V z`yUl~%E616T0(T$g;K@O{&wis3?+?!+R*lzIB7U}vjnw28Q3hU1&?$5KuLkH{z(4F&{2&?9-uAnj?6l1_zh z(`nB1KY|6TPwb9&1x*zZ2S^P(=qBJHJ!`SN2{%dT1tBz06FX@4aLJrv<$GZ{uOLtm z6MMudvsc0U75rS&b+o;dhXdKaRI4?cE)B^z8J?2Sgyii-DCCKsE{R{m}|$cXpehv2g$%3W-X~my;;tlHK|R z@{6GNsJ4A^YD3$4{-}cSxpsC{g|A9{EsGAwEd)D{(DaZHg}(KP<<&>lg`t9pD4WQj zj7hWYC()k*L`E9NOf_fzxiGaD((V2m7xHEIK_bZyRf~%A{Fb!JXa99f6}~+a^ej4# z0y<6V1Mr}@2%en13F1L{AUaL2zG=!9h#DJ1HhhU{9lYS2?!n81g4mEYm4XfI-VZn$ zIVKOo5m_Lr)GB{31ew@z53h3PNMyDTF#;^*F*|<7rR%Gvv*;X$V|cO(7sp5le_`W71H5^lmsFa4n-~PPkryD zN>$`zj6g9$KM=xzTu9no@u~d@dkIzR%J!qhH^o=9$`=RVf1qI5qnMzgqQd2^G9jno zG~lNxH|a)++Mr+2W{`>kpoIB3f`RKlx>&emmJoLw{I=5Lv~!LU=Y|E!6qXBoRCFJK z@NOUv>~`DnK0P5r3Ic2LK?}gF`2u=mU>+Q@v570tr$$fz)>L8ndVKB!nH?p2T&8aK zZhSe4v_EJVHV9h>>nqKuXl{A6s|Ir^Kvklegw` z@Av$LBVINYTY4PSppyOpsmzq?^IU(OZP$epy4FeG5E1bQ8$g|9C>LVb3;8$i-3@(s z1{=?*({jND%~fuU4WZWB+EM#sHHKK_Wo4-ol@%2hF#)n$7ZXJ#ukB}Xu*h*R4pR!N zw=Z4W7Bu_$_}s2HR$`;7SvYoX@uLHA=-kDiqHaqVKxg z=Xv~y-^V(wmBwUEUahED4$_1L*b<7Mg&=_9PYU+tED8wS*u{d1qt4RcV+ieZz~RA4 zTu*L-`rY#W1eSB4m$Pw}BKQd_cx>lOz(I z>+mr{|0bNS6y96AC>h0JQa_!^i3$#Vil_4TAzwb)%;7XH9k4JoG_>SQebP3n%s3Tx zbs=NYb5yzKL0Iy7eW==s=E_d9$UT+ed)CSsQ$xqYE@3gzYed}a-QmGVV`+b zyw$yUTUBB0gD@@4by@r&1+47Iv|KR1TyX4J$bM`k_vv@37)KO<{>IH3j2lFGkSM`0Fd z4!9Z6Ew9(Q>TfO|p<`LMuKVa%pz+-(34x4r=?Mw;^^%jS-lmIW6))%-KqPVaW^4ps z>Y%e?tGwUY7XDMGKeI{-OFO1|%FDtyttYzDX1F7504*)5YT4*{w#n@CNoP!;?yNvn z?rhBt$?fui|1jeP&A5_7#xOHFur6KWp9gGsyK&j9$Q?Kl0z4ONTg@jPnRjBkC)~S7 zumeJEO80=d12G5P025Y~nCf;NRi?(vw!SV~Lv+L12E148C^=;vT8OnusCKY7%d1cF zdKrrVcrf92aIH{h|k=+UVA4BtF6>>$bUuO5N+ z^WY}PYj^;Jm?+V2?d%=W8Bkzp1<<6`&f&t)obJVM{A*gA1YGBb79Pm-coZ%C@IlV_ zq+Owjs2(_Lj^XR%B~eI8HX5Ee*2O00<3n5rNUUy?s4Da>ahjFUN7sjIV-a?8UXDtP zjJ9QnpD9v!f$3hd&L0~DbkY)VWNFzNtmUM;0vSR!AKD}3&steK#{_e%ew-YI!(pA3 zf(f6>0hp(TEi*(S^$(D?53l!(O^6i^!u)C4U#>}uNcl#-gr{i;Tj+twzV4s4$Oh`^fJ^LfaLo2oh zU5|Y)$#kKc_#F_8^;un!{qqk^?*(D4Q?H;^!5SG$%d63O|caQb9 zdo(**`j*$=sk*jx7hc~jGC^pMe;lhO`SQNhqM}(3?@6s>7IJ^cs zGvQPx?6pcdnej*W8w^NNqO)ikYfu z%D(SmlhOjM3T`dRPElN0ESv0TT(B5GqU;b5CBYCPOA;Xj=6*u^&G*f9%{4Rs=Ev}- z1(UpQ-sgGFxzByhxz9d@zivy@8lwH{VSIbCRu@%nGN@DZ-CNK8hq(@1*<7FZc2z=G zF`tF4glSu?JSXHJ+?xO(h)yty?NQVC0OgQJA~B!&j2@iY%om5WRvv}0#V*$N{^^rn zRL4dc^`jn56Drn&kuy)GBeN%!EiFuZ+~CS=yh>_ndQ*){Gexj5zPzZto@|>xLIo3X z65*o9V`4R&V_YOQ`XXLJ4vFB0&>L!;h^x(N^v#l8k(eocI{W00t(Zga6%_{DW`su{QwlB|X4l3!BOF=|~8a%W;j@Tbk%H^Gg*X%>A|6S4WuTC%_ z9YY3?Ur<5Qo0|-f&Kai%= zW{=mX`gDIk)WpBI2Se*%ky4bM!*hAZRs9svmxMj1>b|Qj)7C^kd-t1Elv2W)5TNo# zx&u3WgfRUm-0g|J>CF}=H~DJ?V}@X;ZYskyV9q$!Ri(_tTb$!=QkK~;*wdvTc)24h zbgmt6ao71PdM|fX&?KumdDXhN zkplvN8O`m9$9&P~4i|>Np@OO@ZeEklnx7Mi_jebrX@sMyPS92RWzCb!srwGn==y9I z2CAWzuwF6NTXdWQI+iH0}7 zZ0LEylGedXw+`Gw7ewL*eND~jxhPhr7H!0-Xhc>0M)ZwvEhn^|K5SEUj%3&Me?2ME zeo7D22?yRrA4K;IM%5-IiE|$%&KGFdni$7s)@zTZu{mHm6>GffX~pDL{h!1C^29lA z73PZRJpmVeg<~10OShYm@AE%x%Bf^$og)1j7`Zhae>}ywKlxJ`L-DF%$*oN)HLmC- z8@(Hwt#Z+|x1O=LI$Lo-LOND_9@92)+x|>vrWPZ`Rt!3JElL#%R&5)y7(UDD27Pz z*}#iXPm@8ds^F2fx=F22FDUHB&9^_sPT_bD_-Yx9ny(zZf--E-GEl7-u>zNjV=C{l83fVXrY(+ zjbJA3y%J|N0)k^&YJ11D)o)on(H_I$fBQE2i#5MzyY|$Z1f|Ez4;C(q(6zWr-wGWO zqGAJo$Cbd?`PSA!8O+wpL$o-M3C6^07ZU@9eBBduVVgtf(HZ)?lb zHJ`{D7|S6_s&ehBUq}UsmOV|&t1{ia<)5}n@{2srgF>=Zmd(6-8-4WMGUl8UB)vQ% zd>SouDRb!v08koE92N<%Q0xaX#uCw=KJ+x!C_N+phWU|9o_+@=z_G@Sabj=PIrktY zB(EjG7FgNS`o9Lfq<22Z*OnX zKTLprIzye~hd?Z4Hc~sO#Xm!yKIb!+>BGK6wEhKk3$fS2wo|=j)ul~*&f5uu$MVd% zz6f6bW}n7>ut=NH!6p6r01J8v*5`HMjq?s~79CH=f>1sD(H;POB|*+_V$dbrl;-Aa zO=}173ASyuK{0M-4T&Fdb70-PVBa61_rN;`xafiKzG>!c1w2t<#p~ISx%+l| z3l2E$@GB|6tGPWkvOd?!S8$3@7IVO{jJ50@0?RDwSwO*V-=5GIH$St6GNv>%<4B;? ztr$$7aWxo@{EwX(Z+0N1Y6l1T#9tJ!_NCSq>GYTnLpdIl(WsD!8V`lLpu13I22V zcU}J#J=Ba6yS)3Xm9%t#;{Qt5Z-N&RUzK_8a;UKUrzGmNY%~;z``>!^tN6I>yzU&m zSbeNGy2yg&=ut_xH}e6&>7{JN^vfS3PH4&Qvh|rgu;G*~CAu zqp5d|^X_fyMWAB6(-PK%(h~bR2>M+_@734T4I-0Y<0tAG-}aQy5Y~ z#~m6ld+eeYdOOvp`L$*Q6qPQj?e;Zqe;EH)czwNIM@b3I900UfH$*M`>oLG<3uRhh zx{{Lqr7-KyqDBhkuQDviJ^fW8kFGINL?!+CPvj}3^%oc;uy^P3M{>TFN$7<#5E?5K z7UU{i6pz6OY~`$@xUAHplWC*CO~_-Y$l%6EqYZM}tyiU=tB8x8R6s%)^7*GROYAXJ z+o9KD*$74x=K=cw73JiW@6fX;yIqdBPJAhrj_HxZhfhPI>rzHWFOg9cp5tPkrDr4+ z2tlob$ZyVc-O38pN)TuG$%AB zIu|JxujV-4IoKf+P(t z$V;d=V6&0_$L8k0+Q>l=<2PU#(~GN-j@ZeGHv2qn@|gkF;@;nx2>||=E?@o$eP5Td zvPe{iT~si1Q*EKo51F6#N^MN>_{_bagG;)wd+jqMv1gZ?lgGj z_7FH_!6bhbyZ3JR z_)$0=T>j7WLw}5zci<#Oh;)gHJp`MNmhsa9$I(;3(2%;O#|{ry%KRDmj&WoY0pb znCw8P(P%T<6`#ouv7=Nz#=dGT#XSIylD7p0{{G@dPLJFvnUngum@|U!ZMjnySVt7a z0?B}*O-MwR=TAxaGd{A)*&ZZL!4{CMHCe-R`127H($J2&tlGgE=P@lTAqX0B_yN_#zCVq6+o##^87Z4+p$9yH}=t9ZT%hSsD10* z^78hZ9#Y@@Z`N%|NmS91&8c3u&bYT5dS_4CrPZ@s&FWCvH%FLw_=NV5XEEk5TScOs zNDI+!*N>Z0RCfn;4ucEC)^8CF2UZ%w6kx~JJ^it^M9!lq()gN3_xRz*pbD>*$yYCQ zC6lFrK}2FOk+w^M@suC{yGtG+vq|tI5`>7Hyu@MMhke=QXnelIrGm)l4to=KV#|o8 z^-E~FA$_>Mq7sxUi9f+pjT&zNu!bK&|LR0t2xJXl|09K~{e(|#nZYd9I36*y8OswI zF@;;>a!Vy^LP-hiliDUU{{zTrgu~jZd6- zr1v+<6pEow<_03fPfCiGy`HK3E6hFZ$a_=6{_c@K`u5$9goG=bOI-?E1%H4KA(D7R zUV0=k0Dm&=BCLx`H`;q(7 zpdFUyvU|z!;hjI^s>o0VEV#yM@Qqi5~dt1yfdFM>i}ET{f>Ntab}TI=CYtk0LLn;wE|1`{Y}X=BJS z?MqoYmCp4XD}wbdEvr*L618>Rn7RLWaWwUGc91!v+>*4MJSIkztUOXIah8YE!M5TY zuMbF}P!i6NMY^MNy?e`c&&5XptD{Gv)s+G;E+C0xt2i~ZIkgGVc{Ha5M-Sl#iKwuZ z0Zt0Cy6J^RDx_3wwMLi>qee6U<s1UvNRqCHcEcsPk@urIVVe++5N;lGCP&3{!*^b&@&?u# zuUh5Gu6*uGiN!2Vt<)xj-!)#PiJ2A!%BLO@hk{U+s<9Y>Mr2NyusKa(wXyjdnIBwd zGkDtF0A#IO;IHtlTC8fmV(LNx`Cqc=tS|>1ipmK%#{@()y@iyGHq3+A6!0~F_DDxZ z=8M`y_4AUX<(_3Q+`Alx=VYUeVqsd{gEKj|0yE zU!(ZidYGUdC08wx1X3wl^-=;*K)V!~%ZI~gqfs=Gm&g2Z6gc8T10*wo9d|W?SGo1o+4d=1wLm zGRe0HzXVWC?iELW!QqpX1`q@EXUb?H8o^(c4D0;?0|c)wj7k=uNCAixxGc=+Gn`c{ zILQo13mHy}Kc$?`cub^nMlUi>9D@|e&ktW_<$CL!9u+Japa*ZO5e8uHPW967d-Ndr zL6ab(Q<@N>Vad4m7BJXbU)*?1pnXlQGlKqGY7YZRhk^t6=r2J!g4o!u7(Z-tK~XV9 z{f>Ax4aXWtZ$FhjW7IR4{~>C6%oz=p$WT0x$i)>Qdymr%^9^80sA@=VsBw(L(V^Kf z&lfsy=>UA32sR2NWDXS^z+?8YUk=F|F-@jjUO2V1uLq$7f3v5w= zt6<^mD&GCAzFg<}*u(2fBNsieKED%s8E~@jd)2;E*s^l{Jxx^!f}rxeh}{~)jo2Lx z1ElmMsD-KwcWzUqLNg)D3J~jUVJrDk4zU-Uf&1 zr7)5ovzWu+soanD!+^Vn$pF#)Vk#tHI~?=YVMpgKZCM{G8sI;q%MrNf+z$U!;BREZ zbZVla4ux9ab&#G zJb~bi$jXFvmIiTzF~aBG2?yz&%!q?mJi3LgKDGMZGBeE$HGLzC)I(%H#sXfxJYwx+ zgQ9@6rMb$s^BUhNRFmdUo7~Kv{)jvd;yI@d-P_qEYJa*Jt0PDiese>2AGN7R0CQVz z`Kp^cbDS+%*V;fGPzn3Bwr!*zfV1udauBh)nK6uUK53eb=@(s1_ZzVW>A|6BhC-2O;+RvE8Ow*!m!MO z=oJBm*vP7%n!O1l6T3J&R0GWamI>30fIV?8vO>Z5=sl#XXBs`;Bc(+ZBk!lN8T9Yj zwa|p%DuNK@Zidf$!e#EN5^yZ0LXi7CwFApsouxr0C&Xb<`e5}uX@m~ zi~P`ML&A~WLGKE2gxkM;A_guZdC{+~S}gNPukEkCqqC3q$yrv{WEJz{hA`jx9PU97 zyl@q=u?d;E$Xmp+ugj*aK2VL^gzjB$brU5eU@of0eit`RCF?8;wMihILRPr4`N;E| zPrd7}WC`EI)u%$Ws6D18YC6!deja9)q>YP<-!{~5+O(-GS{~9@R?TEU8mXMf4|NC3 z`D1+|RkgikT8owq-MR6$5k02|60c@@)`z1xX^J1GHXWbLmemfF3N@%6VK`qSo)7q$ z@9(@&Z3LO9!CV=8b6tyPdxq_Nn|WFJ9yN0_+-llAeT(}9U?HJ~lm&I0;nz%E;xt!J zR2zBIm^Ct&%sj;@4uu{?9}EsJk{}@xCiwhMM}*QYupAx2y}mFXtdKmH z+Y?{pxkceW2Z z&53?)3xFsD(4XqG>;zGQ;-tEb#6$z3EkN;4NYLYjnj<(|4Wo)aK!!Rla`mlWz)k?R zm`+eh-5{v@&4lSdpkOph1D66+@WNAYj=u^|Q=6f0$%nF#;Y?b`IBZhhjckw?bse9? z10x~Zi(FA#WAmg!!`2SW00zGF)3k0Qbwl{)_E;7|BT^j%(1r>S-Se6rC{EF!MZ>I} zN$TA1XhQyB9jTd{UO~uYaic&Q`i)i>Cb`2NQoTkVx8!-U4vD0p6;DzH5CQVLKms&T z&JBY2mw9j{m~i7{75oifgA@#0?Awc+H2_{;s>VVg%wP={J zZ@us&#c<%KLSLBtoE>!S@a7IX6VQ66^M?f^^ujIbm>yXPrwf><5gwTs!oVSYRyDTx zq@A?vjcWT^X5eI6trvouTaSZE?0N8aL;&x$+X<`zARTT;+pj|gHaaa&VmBGV&!9_k zZ2O9k7X=0YO;-LZ<8`2qBspz8#q?%HKn39@rPX}|!#fF_Dg$4~Ilspc8E}oCZkS4+ zY^y~;RN(pmb1ak*VWL_?U)$W=4Ejy3;4{Q8xqA)$Beh}Y zJ)rCk|7A}%M6Y7rF}5iOmKBUVV9?m=s|7|MItA^#3lEL$n`bwjmKU`D){DA5YA6d> zf&2pR#tbAZrGyi5ohVy08f;fWBny06mE)$RtI;+xWeF8^?KD6}!lhwB>-d=IC`EU4 zK7C1R`nTsQ+ZVe$&m=0`+DnNCM^#XWUDMmInN#O#Uk(=QS=neCtOfGff?GpQ0D$HZ z;4aql0Dn?Cgn=lFVOQ3PRQU%GHsU0|-y&o9q0}H~F9p^naS{mQ!}97fL~{dU>I;v_26TBJ(L$`nNS|!Ef{_Dl5@{p0frhH;`UNX)q2oc`XHmgr~okL ze4YC>qzkVn)(wRtcEv>_%*`VSbseYf`KeT*O~nur&o+7=N#&RBW=+3r;t zEf5`hbG*N%+_xfV$0rv8)D#+aJ%b*rf;&!z-qg0df6H!3_ezU{HN_2GY&s56JxZ%G z>=&u+Bx!Nf3&BA=kl1yB$8nfHaATi(RaDSS6)eT}z0RM1q^P?so2yQ-JcCB)*0^D2 z4FNB1eRpV z2Rt9?cTfBSV!Pz0K^7Ye^_dUGmK22eG| zRw6Gv`Rf9cjm7oic`t6IP~L2l6c%RM^_zi|2f-vNutn^^z= From b1621f8a1942bdb00f87706d4f32c30ae5442e6c Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Fri, 13 Feb 2026 12:17:51 -0800 Subject: [PATCH 09/20] add timing table --- scripts/get_paper_figures.py | 23 +++++++++++++++++++++-- 1 file changed, 21 insertions(+), 2 deletions(-) diff --git a/scripts/get_paper_figures.py b/scripts/get_paper_figures.py index aaa112f3..32bb8566 100755 --- a/scripts/get_paper_figures.py +++ b/scripts/get_paper_figures.py @@ -24,6 +24,7 @@ from bpd.io import load_dataset, save_dataset from bpd.plotting import ( get_timing_figure, + get_timing_table, set_rc_params, ) from bpd.sample import sample_galaxy_params_skew @@ -126,6 +127,7 @@ "boot_bias": FIG_DIR / "table_bias_boot.txt", "eta_pc": FIG_DIR / "eta_pc.png", "model_bias": FIG_DIR / "model_bias.png", + "timing_table": FIG_DIR / "timing_table.txt", } _nu_hash = { @@ -197,7 +199,7 @@ def make_distribution_figure(fpath: str | Path, overwrite: bool = False): density=True, range=(0, 4000), ) - ax1.set_xlabel(r"\rm Flux (counts)") + ax1.set_xlabel(r"\rm Flux") ax1.axvline( np.median(params["f"]), linestyle="--", @@ -300,6 +302,22 @@ def make_timing_figure(fpath1: Path, fpath2: Path): plt.close(fig2) +def make_timing_table(fpath: Path): + print("INFO: Making timing table") + timing_results = load_dataset(INPUT_PATHS["timing_results"]) + conv_results = load_dataset(INPUT_PATHS["timing_conv"]) + ess_dict = conv_results["ess"] + + max_n_gal = str(max(int(k) for k in timing_results)) + avg_ess = np.mean([np.mean(ess_dict[k]) for k in ess_dict]) + + print(f"Avg. ESS: {avg_ess:.3g}") + + get_timing_table( + results=timing_results, max_n_gal_str=max_n_gal, avg_ess=avg_ess, fpath=fpath + ) + + def make_contour_shear_figure(fpath: str | Path): print("INFO: Making contour shear figure") set_rc_params() # reset to default fontsize @@ -780,8 +798,9 @@ def _draw_gaussian_galsim(nx: int = 71, fwhm=0.8, hlr=0.4, g1=0.0, g2=0.0): def main(overwrite: bool = False): - make_distribution_figure(OUT_PATHS["galaxy_distributions"], overwrite=overwrite) + # make_distribution_figure(OUT_PATHS["galaxy_distributions"], overwrite=overwrite) # make_timing_figure(OUT_PATHS["timing"], OUT_PATHS["timing2"]) + make_timing_table(OUT_PATHS["timing_table"]) # make_contour_shear_figure(OUT_PATHS["contour_shear"]) # make_contour_hyper_figure(OUT_PATHS["contour_hyper"]) # get_bias_table_subset(OUT_PATHS["subset_bias"]) From be4481ab191dd0a0809cb223703e833e705a4c0b Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Tue, 17 Feb 2026 08:50:42 -0800 Subject: [PATCH 10/20] readme --- experiments/exp101/README.md | 3 +++ 1 file changed, 3 insertions(+) create mode 100644 experiments/exp101/README.md diff --git a/experiments/exp101/README.md b/experiments/exp101/README.md new file mode 100644 index 00000000..80ecab8e --- /dev/null +++ b/experiments/exp101/README.md @@ -0,0 +1,3 @@ +# Experiment 10.1 + +Low noise galaxies and joint multiplicative bias joint inference. \ No newline at end of file From 68d1904dba05d904ca209dc7c7512dc012124491 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Tue, 17 Feb 2026 08:50:52 -0800 Subject: [PATCH 11/20] readme --- experiments/exp24/README.md | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 experiments/exp24/README.md diff --git a/experiments/exp24/README.md b/experiments/exp24/README.md new file mode 100644 index 00000000..312cdafc --- /dev/null +++ b/experiments/exp24/README.md @@ -0,0 +1,2 @@ +# Experiment 24 +Investigate MCMC on noisy galaxies \ No newline at end of file From b1f2093fcc22aa605f8b1c7aca8e18a44b812302 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Tue, 17 Feb 2026 08:51:04 -0800 Subject: [PATCH 12/20] more self calibration testse --- .../feb5-test-self-calibration-eta.ipynb | 186 ++++++++++++------ notebooks/jan29-test-self-calibration.ipynb | 139 ++++++++----- 2 files changed, 212 insertions(+), 113 deletions(-) diff --git a/notebooks/feb5-test-self-calibration-eta.ipynb b/notebooks/feb5-test-self-calibration-eta.ipynb index b918eb22..6b0924e0 100644 --- a/notebooks/feb5-test-self-calibration-eta.ipynb +++ b/notebooks/feb5-test-self-calibration-eta.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 54, + "execution_count": 2, "id": "4f293307-5db0-4836-98e2-2cf490d518f0", "metadata": {}, "outputs": [], @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 3, "id": "1c95c5c6-0882-40e3-85b0-da8b10ddbc82", "metadata": {}, "outputs": [], @@ -65,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 208, + "execution_count": 107, "id": "7ffc0732-6a28-407a-9d0e-5e8d31aa1ebf", "metadata": {}, "outputs": [], @@ -158,23 +158,19 @@ " logprior_g = uniform_logpdf(g_mag, 0.0, 1.0) + jnp.log(1 / (2 * jnp.pi))\n", "\n", " # prior on other\n", - " logprior_m = stats.norm.logpdf(m, loc=0.0, scale=0.1)\n", + " logprior_m = stats.norm.logpdf(m, loc=0.0, scale=0.01)\n", " # logprior_m = uniform_logpdf(m, -0.9, 0.9)\n", - " logprior_sigma = uniform_logpdf(sigma_e, 1e-4, 1.0)\n", - "\n", + " logprior_sigma = uniform_logpdf(sigma_e, 0.01, 0.5)\n", + " # logprior_sigma = stats.norm.logpdf(sigma_e, loc=0.02, scale=1e-5)\n", " \n", " return loglike + logprior_g+ logprior_m + logprior_sigma" ] }, { "cell_type": "code", - "execution_count": 209, + "execution_count": 108, "id": "368760e7-f292-4000-a220-0116b461e5cf", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "metadata": {}, "outputs": [], "source": [ "# # use a modified version of BA2014 distribution for true prior, add m,c which are inferred jointly\n", @@ -246,20 +242,80 @@ }, { "cell_type": "code", - "execution_count": 210, + "execution_count": 126, + "id": "43334f1e-536c-4ce8-8dc2-6599330b38dd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(10000, 2)" + ] + }, + "execution_count": 126, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import numpy as np \n", + "e1 = np.linspace(-1.0, 1.0, 10000)\n", + "e2 = np.zeros_like(e1)\n", + "e1e2 = np.stack([e1, e2], axis=-1)\n", + "e1e2.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "id": "6e64b5e6-659b-4a1d-9044-ed217b1d29df", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 133, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dist1 = ellip_prior_e1e2_calibrated(e1e2, sigma=0.2, m=0.0)\n", + "dist2 = ellip_prior_e1e2_calibrated(e1e2, sigma=0.1, m=1.0)\n", + "\n", + "plt.plot(e1,dist1 / dist1.max())\n", + "plt.plot(e1, dist2 / dist2.max())" + ] + }, + { + "cell_type": "code", + "execution_count": 149, "id": "29cec731-0961-43ec-becc-2ccd2601e89a", "metadata": {}, "outputs": [], "source": [ - "sigma_e=0.02\n", + "sigma_e=0.2\n", "sigma_m=0.001\n", - "n_gals=1000\n", - "sigma_e_int=0.03" + "n_gals=100000\n", + "sigma_e_int=0.3" ] }, { "cell_type": "code", - "execution_count": 211, + "execution_count": 150, "id": "6b2e9be0-244f-44a4-9f6e-7eaaa31a9899", "metadata": {}, "outputs": [], @@ -270,17 +326,17 @@ }, { "cell_type": "code", - "execution_count": 212, + "execution_count": 151, "id": "ecfc51eb-56ba-4821-89d4-a97c02f9808d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(1000, 2)" + "(100000, 2)" ] }, - "execution_count": 212, + "execution_count": 151, "metadata": {}, "output_type": "execute_result" } @@ -293,17 +349,17 @@ }, { "cell_type": "code", - "execution_count": 213, + "execution_count": 152, "id": "37397c84-0a13-428c-96c3-42689f14014e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(1000, 300, 2)" + "(100000, 300, 2)" ] }, - "execution_count": 213, + "execution_count": 152, "metadata": {}, "output_type": "execute_result" } @@ -327,34 +383,34 @@ }, { "cell_type": "code", - "execution_count": 214, + "execution_count": 153, "id": "bc8b3cef-1e6b-4b40-8611-32182ac07292", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(array([ 0.33187681, 0.24890761, 0.74672282, 1.65938404, 2.24016845,\n", - " 4.14846009, 4.8951829 , 6.30565933, 8.46285858, 9.2095814 ,\n", - " 10.03927341, 8.46285858, 10.53708863, 5.80784412, 3.73361408,\n", - " 2.98689126, 1.49344563, 0.82969202, 0.58078441, 0.1659384 ,\n", - " 0.0829692 ]),\n", - " array([-8.43455551e-02, -7.22928900e-02, -6.02402249e-02, -4.81875599e-02,\n", - " -3.61348948e-02, -2.40822297e-02, -1.20295647e-02, 2.31004179e-05,\n", - " 1.20757655e-02, 2.41284306e-02, 3.61810956e-02, 4.82337607e-02,\n", - " 6.02864258e-02, 7.23390908e-02, 8.43917559e-02, 9.64444210e-02,\n", - " 1.08497086e-01, 1.20549751e-01, 1.32602416e-01, 1.44655081e-01,\n", - " 1.56707746e-01, 1.68760411e-01]),\n", - " [])" + "(array([1.33290471e-04, 1.77720628e-04, 1.77720628e-03, 7.24211558e-03,\n", + " 3.17675622e-02, 9.77463453e-02, 2.86663373e-01, 6.13491607e-01,\n", + " 9.49516884e-01, 1.03726644e+00, 7.78860651e-01, 4.10356929e-01,\n", + " 1.60881598e-01, 5.00283567e-02, 1.28847455e-02, 3.06568083e-03,\n", + " 7.55312668e-04, 2.66580942e-04, 8.88603139e-05, 0.00000000e+00,\n", + " 4.44301569e-05]),\n", + " array([-2.03263547, -1.80756312, -1.58249077, -1.35741841, -1.13234606,\n", + " -0.9072737 , -0.68220135, -0.457129 , -0.23205664, -0.00698429,\n", + " 0.21808806, 0.44316042, 0.66823277, 0.89330513, 1.11837748,\n", + " 1.34344983, 1.56852219, 1.79359454, 2.01866689, 2.24373925,\n", + " 2.4688116 , 2.69388396]),\n", + " [])" ] }, - "execution_count": 214, + "execution_count": 153, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -371,7 +427,7 @@ }, { "cell_type": "code", - "execution_count": 215, + "execution_count": 154, "id": "fed4fb4e-f46f-4247-affa-9d0ef85b5544", "metadata": {}, "outputs": [], @@ -381,7 +437,7 @@ }, { "cell_type": "code", - "execution_count": 216, + "execution_count": 155, "id": "8a236e16-f98b-43da-9f1d-c62c445afc5d", "metadata": {}, "outputs": [], @@ -401,7 +457,7 @@ }, { "cell_type": "code", - "execution_count": 217, + "execution_count": 156, "id": "03ec4d00-7d83-4a2a-bdc9-cb81f66d4f7f", "metadata": {}, "outputs": [], @@ -411,7 +467,7 @@ }, { "cell_type": "code", - "execution_count": 218, + "execution_count": 157, "id": "c51fef5c-fb43-42eb-b621-86ebfff91660", "metadata": {}, "outputs": [ @@ -421,7 +477,7 @@ "dict_keys(['g', 'm', 'sigma_e'])" ] }, - "execution_count": 218, + "execution_count": 157, "metadata": {}, "output_type": "execute_result" } @@ -432,7 +488,7 @@ }, { "cell_type": "code", - "execution_count": 219, + "execution_count": 158, "id": "dd98c3f8-f199-43c0-b7a1-bbaa57f54666", "metadata": {}, "outputs": [ @@ -442,7 +498,7 @@ "(500, 2)" ] }, - "execution_count": 219, + "execution_count": 158, "metadata": {}, "output_type": "execute_result" } @@ -453,23 +509,23 @@ }, { "cell_type": "code", - "execution_count": 220, + "execution_count": 159, "id": "96e2aaa3-d898-444a-8ece-2597ab7d88dd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 220, + "execution_count": 159, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAj4AAAGdCAYAAAASUnlxAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAA2tJJREFUeJzsfXucFcWV/7f73nkwwDAwPAYQxTegCAKCEBJNJGBCdEkiKjE+WNYkm2BcSYwxUTRxN5hEXY2yYY0xMVkJBmOMUcMvCBofoMhLxQdRFEFheDjCwAzzurd/f9xb3VXVVdXVffs+Zqa+nw/MvX2rq6q7q6tOnfM951iO4zgwMDAwMDAwMOgGsIvdAQMDAwMDAwODQsEIPgYGBgYGBgbdBkbwMTAwMDAwMOg2MIKPgYGBgYGBQbeBEXwMDAwMDAwMug2M4GNgYGBgYGDQbWAEHwMDAwMDA4NuAyP4GBgYGBgYGHQbJIvdgVJCOp3Grl270Lt3b1iWVezuGBgYGBgYGGjAcRwcOnQIQ4YMgW2rdTpG8KGwa9cuDBs2rNjdMDAwMDAwMIiAnTt34qijjlKWMYIPhd69ewPI3Ljq6uoi98bAwMDAwMBAB42NjRg2bJi7jqtgBB8KxLxVXV1tBB8DAwMDA4NOBh2aSiRy8+LFizF8+HBUVlZi0qRJWLdunbL88uXLMWLECFRWVmL06NF48skn3d/a29tx3XXXYfTo0ejZsyeGDBmCyy67DLt27WLq+K//+i9MmTIFVVVVqKmpEbazY8cOzJw5E1VVVRg4cCCuvfZadHR0RLlEAwMDAwMDgy6I0ILPQw89hAULFuCmm27Cxo0bMWbMGMyYMQN79+4Vll+zZg3mzJmDefPmYdOmTZg1axZmzZqFLVu2AACam5uxceNG3Hjjjdi4cSMeeeQRbN26Feeffz5TT1tbG2bPno1///d/F7aTSqUwc+ZMtLW1Yc2aNXjggQfw29/+FgsXLgx7iQYGBgYGBgZdFJbjOE6YEyZNmoQzzjgD99xzD4CMJ9SwYcNw1VVX4fvf/76v/EUXXYSmpiY8/vjj7rEzzzwTY8eOxZIlS4RtvPzyy5g4cSLef/99HH300cxvv/3tb/Ef//EfOHDgAHP8b3/7G77whS9g165dGDRoEABgyZIluO6667Bv3z6Ul5cHXltjYyP69OmDgwcPGlOXgYGBgYFBJ0GY9TuUxqetrQ0bNmzAtGnTvApsG9OmTcPatWuF56xdu5YpDwAzZsyQlgeAgwcPwrIsqUlL1s7o0aNdoYe009jYiNdff127HgMDAwMDA4Oui1Dk5v379yOVSjHCBQAMGjQIb731lvCc+vp6Yfn6+nph+ZaWFlx33XWYM2dOKK2LrB3ymwitra1obW11vzc2Nmq3Z2BgYGBgYND5UFKRm9vb23HhhRfCcRz88pe/zHt7ixYtQp8+fdx/JoaPgYGBgYFB10Yowad///5IJBLYs2cPc3zPnj2oq6sTnlNXV6dVngg977//PlauXBmaYyNrh/wmwvXXX4+DBw+6/3bu3BmqTQMDAwMDA4POhVCCT3l5OcaPH49Vq1a5x9LpNFatWoXJkycLz5k8eTJTHgBWrlzJlCdCz9tvv42nnnoKtbW1YbrltvPaa68x3mVEgBo1apTwnIqKCjdmj4ndY2BgYGBg0PUROoDhggULcPnll2PChAmYOHEi7rzzTjQ1NWHu3LkAgMsuuwxDhw7FokWLAABXX301zjrrLNx+++2YOXMmli1bhvXr1+Pee+8FkBF6LrjgAmzcuBGPP/44UqmUy8np16+f6421Y8cONDQ0YMeOHUilUti8eTMA4IQTTkCvXr0wffp0jBo1Cpdeeil+9rOfob6+HjfccAO+9a1voaKiIucbZWBgYGBgYNAF4ETA3Xff7Rx99NFOeXm5M3HiROfFF190fzvrrLOcyy+/nCn/xz/+0TnppJOc8vJy55RTTnGeeOIJ97f33nvPASD89/TTT7vlLr/88sAy27dvdz73uc85PXr0cPr37+985zvfcdrb27Wv6+DBgw4A5+DBg6HviYGBgYGBgUFxEGb9Dh3HpyvDxPExMDAwMDDofMhbHB8DAwMDAwMDg84MI/gYGBgYGOQNDU1tWPKPbdjb2FLsrhgYADCCj4GBgYFBHnHVHzbi1r+9hct/83Kxu2JgAMAIPgYGBgYGecQL73wEAHhzt4mMb1AaMIKPgYGBgYGBQbeBEXwMDAwMDAwMug2M4GNgYGBgYGDQbWAEHwMDAwMDA4NuAyP4GBgYGBgYGHQbGMHHwMDAwCBvsKxi98DAgIURfAwMOgnSaZNdxqDzwcg9BqUGI/gYGHQC/Oivr2PCfz2FfYdai90VA4NQsI3Kx6DEYAQfA4NOgN+8sB0NTW24/4X3it0VA4NQMHKPQanBCD4GBt0cjuPgtQ8O4nBrR7G7YtAFYRnJx6DEYAQfA4NujpVv7MF59zyP8+9+vthdMeiCsI3cY1BiMIKPgUE3x1827wIAvLu/qcg9MeiKsAy92aDEYAQfA4Nujo50uthdMOjCMJYug1KDEXwMDDoRnDx4tKdidJNvbGk3bvcGDIxXl0GpwQg+BgZdDE5I6SguwWf7/iacdvPf8a8PvBxLfQZdA0buMSg1GMHHwKAL4bvLX8HUnz6NvY0t2ud0xCT4/GHdDgDAM1v3xVKfQdeAkXsMSg1G8DEw6CJIpR08vOEDfHjgCG7921va56Vjsp81t6Viqcega8G4sxuUGozgY2DQRbCzodn9/Pc39qClXU8Q6UjFI/g0tZk4QAZ+GHd2g1KDEXwMDLoI3tl72P18uLUD9Qf1zF1xcXyOGI2PgQCG3Oxh884D+M4fXwllijaIH8lid8DAwCAevLPvMPP9wJF2rfPi4vg0GcHHQAAj93iYtfgFAMC+w6343b9OLHJvui+MxsfAoIvg7T2c4NPcpnVeXByfI8bUZSCA4fj48S63STEoLIzgY2DQRbCjgY28fFBX4xMTx8eQmw1EMGKPQanBCD4GBl0EbR2ZCMwVycxrfaBZT/AxHB+DfMJwfPzIRyBSA30YwcfAoBPBgXzGJL/0rSoHoC/4xJWywnh1GYhg5B6DUoMRfAwMugjILrKmqgwAcOCILscnnvZpU1fY6NEGXRdG42NQajCCj4FBFwHRBhGNz8ECa3xowScuTzGDzg8j9xiUGozgY2DQRUCULH17Eo2PJscnBnKz4zgMVyjOxKcGnRtG8DEoNRjBx8Cgi4AIPn16EI6PnqkrFYNZqqWd1Rq1p+LRIhl0fljGr6tb44E12/HXV3YVuxsMjOBjUHLY2dCMa5e/gq31h4rdlU6JvlUhNT4xaGcOtbBtxeUib9D5YVJWdF9s39+Emx57HVf9YVOxu8LACD4GJYev/34Dlm/4AP+y+Plid6VTgffqaixg5OZDraxHl+H4GBAYcnP3RSO1ISolhwcj+BiUHN7Y3QjAbz4xUINMLK5XV3O71mQTB8cnzQk6cRGmDTo/jNzTfUELvaXE+zOCj0HJwUyUuaGqPJOCryPtaE02cXB8+GaMqcuAwKSs6F54eMMH+Pxdz+HDA0eQoOycpaQFNoKPQcnBTJPRQOQXmlOhM9XEMSHxgRVLaZIzKC7M++xHKZl94sZ3l7+CN3Y34ubHXu9ags/ixYsxfPhwVFZWYtKkSVi3bp2y/PLlyzFixAhUVlZi9OjRePLJJ93f2tvbcd1112H06NHo2bMnhgwZgssuuwy7drEs8IaGBlxyySWorq5GTU0N5s2bh8OHvURv27dvh2VZvn8vvvhilEs0KCLMDlEBxdxBhA/6/unMr7yZKgr4dlLG1GWQheH4dE80HmlnTV0lpAUOLfg89NBDWLBgAW666SZs3LgRY8aMwYwZM7B3715h+TVr1mDOnDmYN28eNm3ahFmzZmHWrFnYsmULAKC5uRkbN27EjTfeiI0bN+KRRx7B1q1bcf755zP1XHLJJXj99dexcuVKPP7443j22Wfxta99zdfeU089hd27d7v/xo8fH/YSDYoMM01GAxE+6F2WTub1OHZifDvtJTTJGRQXRu7pnuhIO8xc1F5Cm6HQgs8dd9yBK6+8EnPnzsWoUaOwZMkSVFVV4f777xeWv+uuu3Duuefi2muvxciRI3HLLbdg3LhxuOeeewAAffr0wcqVK3HhhRfi5JNPxplnnol77rkHGzZswI4dOwAAb775JlasWIH77rsPkyZNwtSpU3H33Xdj2bJlPs1QbW0t6urq3H9lZWVhL9GgyDATZTQQUaMY7sN+jY8RfAwyMBrc7okOLpZXKc0JoQSftrY2bNiwAdOmTfMqsG1MmzYNa9euFZ6zdu1apjwAzJgxQ1oeAA4ePAjLslBTU+PWUVNTgwkTJrhlpk2bBtu28dJLLzHnnn/++Rg4cCCmTp2Kxx57THk9ra2taGxsZP4ZFB8m4Fk0EN4ArV7W0fjE0zb73QQw7D5oaU8pfzdvc/dEe8ph5p9Oy/HZv38/UqkUBg0axBwfNGgQ6uvrhefU19eHKt/S0oLrrrsOc+bMQXV1tVvHwIEDmXLJZBL9+vVz6+nVqxduv/12LF++HE888QSmTp2KWbNmKYWfRYsWoU+fPu6/YcOGqW+AQWFgZspIcDU+djiOTzxtsw2V0u7OIH/448s7MeLGFfjThg+kZWzjQtMt0ZFOM/MPrwEqJpLF7gCN9vZ2XHjhhXAcB7/85S9Dndu/f38sWLDA/X7GGWdg165d+PnPf+7jCxFcf/31zDmNjY1G+CkBGLknIiJ6dcXStE/jk9+Wb37sddiWhYXnjcprOwZqfO9PrwIAvrP8FXx5/FHCMowGMu0wgrlB10VH2mG810pJ4xNK8Onfvz8SiQT27NnDHN+zZw/q6uqE59TV1WmVJ0LP+++/j9WrV7vaHlIHT57u6OhAQ0ODtF0AmDRpElauXCn9vaKiAhUVFdLfDYoDQwmIBjKtJIpg6uLbyafG56PDrfjtmu0AgGs+eyJ6VxoeXymDfp3TjgM75NamI5WGbVlGYOpk6EixeuBS0gKHUkKWl5dj/PjxWLVqlXssnU5j1apVmDx5svCcyZMnM+UBYOXKlUx5IvS8/fbbeOqpp1BbW+ur48CBA9iwYYN7bPXq1Uin05g0aZK0v5s3b8bgwYPDXKKBQacF2V2FdWePpW3uez49OOidYwnNpQYS0OMxbLDMxpZ2fPJnT+PK362Pu1tFRXcYth0p1tRVSry/0KauBQsW4PLLL8eECRMwceJE3HnnnWhqasLcuXMBAJdddhmGDh2KRYsWAQCuvvpqnHXWWbj99tsxc+ZMLFu2DOvXr8e9994LICP0XHDBBdi4cSMef/xxpFIpl7fTr18/lJeXY+TIkTj33HNx5ZVXYsmSJWhvb8f8+fNx8cUXY8iQIQCABx54AOXl5Tj99NMBAI888gjuv/9+3HfffbnfJYOCwpCbo0Ho1VUowYf36sqjqasLx37rkqA1uGHl4b9s+hC7D7Zg98GWeDtlkHe0p1lycylpfEILPhdddBH27duHhQsXor6+HmPHjsWKFStcAvOOHTtgU2y2KVOmYOnSpbjhhhvwgx/8ACeeeCIeffRRnHrqqQCADz/80CUgjx07lmnr6aefxtlnnw0AePDBBzF//nycc845sG0bX/7yl/GLX/yCKX/LLbfg/fffRzKZxIgRI/DQQw/hggsuCHuJBkWGMXVFgxu5OWQcn3jaLlyuLlqBbsZK6cPOQePz9t7DwYU6IUpBeG/tSOHJ13bjEyf0x8DelbHXn0o7nManBC46i0jk5vnz52P+/PnC35555hnfsdmzZ2P27NnC8sOHD9cK392vXz8sXbpU+vvll1+Oyy+/PLAeg9KHWcvkUL0pRCAoCrmZ+55PIiM9XZixUvqgn1HYXf/bewon+Fz/yGvYtvcwll45CclE13dFu2f1O7h79TsY3KcSa68/J/b621NpZpNSShqfrv90DTodTMCz3GAVg9zMZ2cv0O6udKZSAxlshnNWuhqfP6zbgXXbG7Bue0PB2iwmVr6RcTrKlxmxI8VqfPKpBQ4LI/gYlByM2BMNZJKxBMfy3jb3vVCuq6VgMjAIADUgw+z602kH+w+35qFDQe0WvMkuifYUH8endF5WI/gYGHQRuIKPZbnmLj6woP+ceCYjvpp8Biujm+rKWa67IsJwfA63deSxJ3IEvTNdBfl+dTrSjjF1GRhow6h8pFj5xh78acMHygXfgmfuCprcaMJhMoc4KXx/2vPK8XGoz3lrxiAuUM8ojDbFKZLmpbuMqUIIePQ0UEru7EbwMSg5GLlHjvf2N+E7y1/BzY+97vvNi+Pj3cOgSZy2uydyEXy476l8anyoxrrJGtWpwbg0h5AqCsVPM8gf6E2K0fgYGChgyM3BeGDt+75jZFqxYLmE0qBdXVwaH36RKhzHJy5TnYO/v16P36/djr2NJmZMnKCfEE+C1z0PyK9Zk9Ei5q2V0kIh5Eq6iU6bssLAoBAwck80eBwfuCqfoLmG5uLYOdx4H8enQO7scbXy+q5GfO33mcjwL2//GL+Yc3pMNRvQQkUYLQ4v6KQdIJGnuYHWRnQX3lghrpLN1WVMXQYGUhi5Rw/8BE1rd1xyc8AkHpf62efVlUdTVzriQqrCx81t7uePmgrvSdSVETVfE18yn6avdB6E6WLjzd2N+LcHXsYbuxqFvxdCwDNeXQYGmjCmLj3wawit8SFpPwLJzfRON6e+FM7Ulc6DyoeuspS4CF0B9O0MI7wUMvFtoflEhSAWX/S/a/HUm3tx0b1r896WDOkSfa+M4GNQcjBijx74iYTm+FiuxkddB62ZyWkH6HNn71y7c5aHElOlBhkwBNcw50mriR35EKZVKISc1diSCQdwqKU4YQEAdk7Jp6dnWBjBx6DkYBQ+euB3qbTGJwq5ubNofOiexrWAMN4n3YTjUSh0BlNXKWkjCoWCcHyoz/n09AwLI/gYGHRS+Cdrvzt7ILk5TWt8ovelkAEMWY1P/Byl7rgI5hNROVl80cJxfLrJ8y/AZdLPrJS8uozgY1CCoHJNldDLUmqQanzgST5B5qsORuMT/V77yM0F4mPE1kyJchG6AughGErw4UZVPk2Q9DxjTJ25ISHJkmwEHwMDBWhTlzE7yMFP0C7HhzJ1BWt84jEb+U1dedT4UFXHFsenREPrdwVEJY7zRfOr8YnH5NuZkK/rpAWfUtWkGsHHQIpU2sHvX3wfb+85lJf6/7L5Q1y9bBNa2lPMcZriU0ovSxw40paKbbHmhUK6Xk94DNL45MfUVSgPnPg4PuL6DXIHQxzPKY5PYUxd5vnnhvKEJ1bQ99KkrDDoFPi/F9/HjY9uwWf/+9m81H/1ss34y+Zd+PXz7zHHaY1PKalHc8X7HzVh5MIVuOoPm2KpT+7VRZGbA25ffNwG9tz2PHp15WNdMu7s+QObtiDMeez3fD4WxnzaTZ5/vuL4JKkok6X6XhnBx0CKddsbCtLOO3sPM98tSueTKqGgV7nid9k0E4+/ujuW+mQ70zDk5ri0J3w7nU7jQ3025tV4EZc2rVCmLvP8c0PSlml8Sue+GsHHQIq2jsKoJvcdkkfKLaUw57kilySgIvg0Pu5XKo5PgBaH3t3mpO/hTs6nWjsfkZudbrjjLxToMRgqV1eOHJ/Xdx3ErX97C4da2gPL0u9SITQTpTDC8tUHOucfvYakSmguN7m6DKQolOCz/zAr+DC7ry60CMUdn8gv+DhuO1YUU1eMu/H8any8z3lw6ipJ8+qmHR9j1Zt7MWfS0Rha06PY3QkFxtyRQ+TmsI9l5i+eBwAcbm3Hf84arSxbqiaZfCJfii3a1NVGbYBK6b0ygo+BFCUh+HQhtXMiZsmHvzU0x8czdQVofCJ4s6TSDt6qb8TIumrYNgmUyCK/am3a1BWXxsf7XGoanxfe2Y9L7nsJANDakcIPZ47SPveldz/CvsOt+MJpQ/LVvUBE3cjwJaM+ly0finNV0Si0xqcUkK94RWUUuZleQ0opV5cRfAykaO1IBReKAfsPtzHf6YmnlF6WXJFL9nMRfEJh9qtl6aesoOvQlSFuePQ1/GHdTnz7nBOx4LMnZc/lNT6FCmAYD0o5cvO7+zwO3JH2cO/kRfe+CAA4cWBvnFzXO9Z+6aLYXl06wnE+zKfdFbRFnxF8SkigNBwfAynaOJ5GY0s71mzbn/cdcVfdfdkROT6yiTsOry5fhneNSf8P63YCAH6x6m3qPLZMXgMYMrGHYtL4UJ9LyOsWAC84RKvjrfpgrUfewJiRIp0GIPq16wiyrFYqWjsGGdB3m15DSonjYwQfAyl4U9cFv1yDr/zqJTy0fmfsbdGLOD3BldIuIVdE5TbL5m1/5GaK40OOBZKb9doSgQ3QWiSOT1xeXTF5HuUDcQh6vFZVhXf2HkJzW3yJLaNrfNjvUZ+LjiDDZBEvwPMvhSGWtz5Q9ba2l6apywg+BlLwgs8/92RU7k/E5I5dU1Xmfv6I4vl0VY1PVI6P7A6os7PraXx8QRBD9Is23eUiQIUFvfjHR24u3THHCA4RN80fHZZ7TtJYs20/pt3xLL5w9/PRGhIgaoycKNpIYfsabTJzTjdR+eTrHZVpfEppE2sEHwMpWiXk5h7lCe067n12G+577t3AcgeOeC6n9GLcldzZo5q6ZJC5s2e8ujKfg3bJuSwutODjN0sUX+Pzq2ffxW3/b6vWNZWyV08c2gjegUCGv2zaBQB4d19TpHZEiOrVxZeMKo/ojEXWoSJaOwYZ0O9bK8PxKZ253Ag+BlLIvLqqNAWfg0fa8ZMn38J/PvGmMJaGTLOT7qIan6jkZtnC7ec2ewe8OD5q8Lc3lMaHmj18AlSIesKC9UQTt9SRSuO/nnwT9zz9Dv686cPAOlmOT2mNOSbGUETB5yNNU1c+BNao2rTYTF2C897c3Yjz7n4ez2zdm6mbmupKzauvs4HR+JSoV5cRfAykyFXwoScQkTcKkxFZ4lUTt3r0vf1NWLvto1jr1EVkjo/kuD9XV+YvnaQ00NQl0Br9edMHOO/u5/HBx83KcxmND99OHuc41nQiLkPfm/9+6p+BdZayVxfdnahd29+kJ/jk49qj8qd82dljNHVd+bv1eO3Dg7jiNy/76i61558v5CtlBV0tG8CwdO6rEXwMpGiV6JZ7lOlFQaBNOyJpX+RK7ThOXs0On77tGcz51Yt4c3fhvVxUkZv3HWrFe/vF5gXZ/CTl+Fhe0o+gyc1HkIaDax56Ba99eBA//usbynNZU1c8i5QOGEFAImHRAtHOhiOh6i+1HX8crtb7FdHRaeTjsbExkqKdJ/quC9HjbOAEQXouKswCXVpjLE7Q72RbytvwtpfQe2UEHwMpaGmdXkB7lGsOG2qciwQfRr2crZ+fdPKlHn31gwN5qVcFi9GQsNd1xn89hU/f9gz2Nrb4zpMu7rI4PqA0PgF9Ui0uQTFjGK+uHExmYaGTq4vftQctZlF5KIUA3Zswawc9xj5q0hN8wgpWtPX2gTXbcfn969DCjZuo2rS4ooGLzpNFPc+lHQM/SjVlhRF8DLRAk9SqyvU0PvSC3S4Y9ClmJ+s/BuRvEmppL/xLSEVyl5rwNu08oF2fX+NDfSfk5oD7J8/3FcxJojV6pBpdUnUu0Kmav66gKOT0vXMcYMuHB3HDo69pk4LziaheUXTRlva0lmkj7PtGj5Dfrd2Of/xzHzbtOMCUYQS3InB8RNfNH6KV291F8MnXVbKmTe9zKSUpNZGbDbRwuNWL61FZpsnxCdL4CHZZvHyUL0+AQkWlpkELCqm0A9FtbDziJ4FL4/iovLrIsYA+iUxdbn8DOEkiU5dtWUhx5sq4oaPx4Re7tlQaPSAft3w9xJ17T2MrfnXZhGgdjQlROTJ82Zb2dKBHZtjnZlmWexIZji0dvMbH+5yLNi3OAIb8se4YuTlv7uyMabM0NWlG42OghebW8IICvfjw2bp5Lg8pq5qQ4kRrETQ+tKAg0/g0tugHjpN5ZFmwQkRuln8PyibPxPHJnpdw283fJJfWEAT4STYoW7ysu//ccyhU3/KBqF5dKqFW95wg0COEnNvKmbqix/Hhv0c1dfmP+RKglugCnU/kK1cXDXqeM3F8DDodmqhIrroTEF2KT3/BTy6uqatAHB9ZjKJ8ghYUUpLrOhhC4+P36sp8p+P4BD0rVQDDQFMX/XO2HuLins8pTieAIX9dwaau0oXMdBDmPN1zc1n0XcGHu9eMqStE9XFxfETCnOrehIo15DjY8uFBH6+pO0PG6eooocCQRvAx0EJTKy346J1DTzj8wiPT7PA7wjh3X3RdxZiobIbjI54EhKYuqeeS+HgmO7seuVmW9gLQEXz8AQwTmpqmXEBf9tb6Rhxs9t8z/vYGa3zk97LYYAM25pcjE/Z1o4cIued+crP3Oafs7BHHlM51M3zDEA0tX/8BvnD387j8/nWR+lZM5M3URX0uVU2aEXwMtNDU5k1m2upwqhi/8PALE3lBeIEoTvUoLWwUQ+NDQzYJ/HbNdtz46JZIdbjfGI2Pug5VAMMgUxf9O3l+hMeU38jNXt3X/ek1TL51la8MP4748ffm7kbc//x77j2U9daKGHQyToi4cGHPAwBHY8iHNSdZlGjoSDQ+9N3NJTt7dFNXOBNfmDnn/156HwDw0nsNofrUlWlEMkHXmLoMOhXKEzar8dE8jzF1BWp8ssfzqPGhzWbF0PjQV6KaBH7/4vvsedqmrsxfOldX0ELjI0hTjykoxQYtE5BadLlFuYC/puY2dXBMwL8Yf+6u5/Djx9/A0nU7Mgck/S2+2BOfqSis5iMsXHKzj+ND1V8EjY/OJTHBVEtogc4n8nWVjkTQ7fSmrsWLF2P48OGorKzEpEmTsG6dWs23fPlyjBgxApWVlRg9ejSefPJJ97f29nZcd911GD16NHr27IkhQ4bgsssuw65du5g6GhoacMkll6C6uho1NTWYN28eDh8+zJR59dVX8clPfhKVlZUYNmwYfvazn0W5PAOwE1RZwmIEH91dG12O33H7OT6O8Hi8Gh+vrmJofKLu3GUlpaYuyzOrhTZ1UWccbmnHdklQRUBCbi6AxkdrIfNpfMQnbc66XheC6BkVUcnNfsEhflMXLRl65Ga/IwNBOP4M+z2qUKan8cm9nc6MOJ0RuqTG56GHHsKCBQtw0003YePGjRgzZgxmzJiBvXv3CsuvWbMGc+bMwbx587Bp0ybMmjULs2bNwpYtGXV+c3MzNm7ciBtvvBEbN27EI488gq1bt+L8889n6rnkkkvw+uuvY+XKlXj88cfx7LPP4mtf+5r7e2NjI6ZPn45jjjkGGzZswM9//nPcfPPNuPfee8NeYqdBPj1naHfvirJEJI4PXc5HeJTsRv0an/gEFHrHUQx3dvqSw0wCsufMRr72PlvQj6fjM3VR35/eug9n3/YMdjaIU1fQpi7SftR8ZGEgJquqNYUycjMRyKW3qQRUPqz3Y4jzeHOyxrnhTV3++n3u7NRnGalfpy9x5uriwW5K9OuOOjxKQQSIOq4C66U+R9X25RuhBZ877rgDV155JebOnYtRo0ZhyZIlqKqqwv333y8sf9ddd+Hcc8/Ftddei5EjR+KWW27BuHHjcM899wAA+vTpg5UrV+LCCy/EySefjDPPPBP33HMPNmzYgB07MmroN998EytWrMB9992HSZMmYerUqbj77ruxbNkyVzP04IMPoq2tDffffz9OOeUUXHzxxfj2t7+NO+64I+q9KWk8svEDjP3xSqwLaVvWBR3grzxhMxyfKF5d/I5bpvHhJ7c4dwl0myLzSL7BRofVn12lGh/JxJVJWaGn8tFJLrrh/Y+F54pknER2RkmlHby951BezAai4cd7Dfo1PuL7TQSiUpB7Vr25B1///XocaGbTKUSNMaMiruueEwTG3CnV+Hif+eekAt+TqBs9revuhqYu+g7HqeVivRCjjd18I5Tg09bWhg0bNmDatGleBbaNadOmYe3atcJz1q5dy5QHgBkzZkjLA8DBgwdhWRZqamrcOmpqajBhghdIbNq0abBtGy+99JJb5lOf+hTKy8uZdrZu3YqPPxZP3K2trWhsbGT+dRYs+OMrOHikHd98cGNe6qc1IrYFztSlVwc94QRyfLI/55PjQ+eKoQMyFgr0ldACXdQJnZ6g6RoyKSvIcXXdqtD9bn2S1Z81dWXOI15db+89jM/+97P46Yq3lO1HgWgCbeLiTPHrq2zBDdL4FJLcPO+B9fh/r+/BLY+/yRxnNCY5kJt1Tg2rYKXJzaQ9XuPDeHeGEXy4/kZV/oY1dZWSSSYOyIawTEDJHZR5i9rwltJtDSX47N+/H6lUCoMGDWKODxo0CPX19cJz6uvrQ5VvaWnBddddhzlz5qC6utqtY+DAgUy5ZDKJfv36ufXI2iG/ibBo0SL06dPH/Tds2DBhuVJG1IzfQaB3bWmH1ZBEMXUFenXJND4xxvGh1exNRRB8aEElzIQgJTdLhCeLsnUFLRYqr64giHJ18YLC/z77boga9SC6H/zz5MeRzNRFFuJS4vjwQRN1IlWLwBcNS27WEcgZd/ZscV9wUFrjE4Jb5zNfRt0gaJyWKlHNRBzQWSJiNXXJND4lJPmUlFdXe3s7LrzwQjiOg1/+8pd5b+/666/HwYMH3X87d+7Me5txoyyRn0dI79ocOIynhu7E4CgmPLlXF1tHvBofr3JeQ1AIyHbugQuMTPChFynqOGXoihDHJ+AECsI4PvmSxCkINT5trOCjG7nZNXXJND4R+pcrPuZMXZAsJEGI4tWVS7JOT+MjD2AYFE9Jdh7ft7gR+bpLINxBHIhT2KNrKlVTV6hcXf3790cikcCePXuY43v27EFdXZ3wnLq6Oq3yROh5//33sXr1alfbQ+rgydMdHR1oaGhw65G1Q34ToaKiAhUVFbLL7RSoSOZH8KF3bY4TcqEm5ahXwMfBKIZXF63xaSuCxkeiThddoeM4rvZEJ4Ah80gor67Q7uxCU5d4cheaugoi+PiP8YJseI2PGMVY1w5wARmjLh58UT1vOO9zR9pBMiAtH0Nuzp7Mp6xgUtd05NdUFxX0vNPVvLpk729UE2oY0PNcCSl8wml8ysvLMX78eKxa5QUMS6fTWLVqFSZPniw8Z/LkyUx5AFi5ciVTngg9b7/9Np566inU1tb66jhw4AA2bNjgHlu9ejXS6TQmTZrklnn22WfR3u5NGitXrsTJJ5+Mvn37hrnMToUoGh8dlSMd7M8BR6TVbUeh8ZHtRqPsUnXRwWh8isDxkewqRZcoIy7TYDU+rKnL0oynk5Opixp6pJ0CyD3CMdEcUePjcXzEV24VQefD88/oS8ktZYWGqYtZqHRMXf78c7zGh5kHwrhMReh/VDD3uJRW6BggG8FsmIT42pPVW0r3NfSquWDBAvzqV7/CAw88gDfffBP//u//jqamJsydOxcAcNlll+H66693y1999dVYsWIFbr/9drz11lu4+eabsX79esyfPx9ARui54IILsH79ejz44INIpVKor69HfX092toyKt+RI0fi3HPPxZVXXol169bhhRdewPz583HxxRdjyJAhAICvfOUrKC8vx7x58/D666/joYcewl133YUFCxbkfJNKGeUhNT4t7Sl85vZnMH+pmhTNh8mPEkuEITdHzNUVRjUeBFrj055yCu7STt82VrD038+whEzGqwu0ABKg8QlwAyf1iZCgTV0F1PiIhBQ/x4f9vU3CFQsydZUCopJQo2hMwpp86KdNyvs0PgrNr7Iv3Pd8ukMz/LuI7Wzc8XFJuWwT6GgtY43jQ31OhxSkC4XQgs9FF12E2267DQsXLsTYsWOxefNmrFixwiUS79ixA7t373bLT5kyBUuXLsW9996LMWPG4OGHH8ajjz6KU089FQDw4Ycf4rHHHsMHH3yAsWPHYvDgwe6/NWvWuPU8+OCDGDFiBM455xx8/vOfx9SpU5kYPX369MHf//53vPfeexg/fjy+853vYOHChUysn66IskS4heaZrfuw/aNmPP7qbmU53owShWBJF2sP0PjIsrPH+a7wE1qUjPO5gF4AgjQ+n/zZavz6+fey54mh2kERTUXQPKzj9i2bOC1G8Mn8LUwcH/+xqKYuEmZBqvEpAQpHXO7sYQMYai3iTP45scZHxfVTIYqpLiriIOF+6X/W4La/b42rS3kHI6DEqvHxPpeqqSsUx4dg/vz5rsaGxzPPPOM7Nnv2bMyePVtYfvjw4VrSZr9+/bB06VJlmdNOOw3PPfdcYF1dCWE1PrrgTVv0hjmSO7tP48O3lzV18ZwTvaa0wIdMb48xOKIOpBwfwUXuaWzFLY+/gXlTj5UHMJTUYVmWuyAFm7p4wUf/jjNeXe6xTkpujqlvuaC6MonGFrUJNsyQjSI4MFyXkBofAr/Gx0M4cnN4wS0KLr53LcYO8+gQuXB8lvxjG647d0Qc3YoNMnNtvhKIOhIhspS4UyXl1WUQHvny6qIHr+M4nMZH19TlfQ5KWUF+1okrExU+81qBs1bQl5JKOXjslV2Y/t//wNt7D8lPgkLjI+P4QD+ODz/fCTU+komTSVJaUFOX/5hP48MLPkHkZsltKmQcn749vRhkMi/K3MjNweeGJfmK7o8qSnsYwYcfm/nSGLz4bgOW/GOb+z2MEMBfvbY2PMd5raU9hTXb9utp0DTi+OTL1BU2PEKhYASfTo5cvLpUA9HhPjOCkKLOto403qpvzPCCqOP8ZChTw+fT1NXOC1sFfhHZDNBpfPsPm/DPPYfxsxVy9fhL736Eub95WfibXOMTwtSloRkJZeoqljs7x/Hhn21gAMOY+pYLepZ7CviGJs+lnV2g9OuLwvGhn7+WxkfwuP1eXd7nXOL4FIocWwguSq4t3PL4G/jKr17CHSv/GVhW9kaysYty7BAN2jpQoqYuI/h0QrAJRMM+Qj31Jm/zprUjqgnomw9uwLl3Poc/rNvJ1BGUsoJMcrLAhnGATxMRJm9Q3KBNXZVl8md40b0v4rUPDwp/kwluFizX4ypolxWbqYtofAqgIBFqfNqCyM1BcXxk97JwoHtACz6F5PjQ5t+o5g9VHB8ZyVwEvmShyLGlSFDm8eBLmXROtKZKBtnGJawHny5kGp9Suq9G8OmEoL2RcuH4qBY5P8dHT3J/6s1MvKVfP/8ut9NTk09dry5e4yNvKjR8wlehNT7UjTt4xAu7MLy2Z8710VdCa3zCurPzPChAHKsF4JKUCo7lCzoaH144D0pSKkMhyc208EWPD9lCEgS/qUhD8KHi7IhMwW0daWaM6HB8mJQVITQ+fnd2/VNzQSkt0PlEOk9CicozsFTMXUbw6YQ4QqWPSNphH6E3VanIvcwk6fCmLr3Bq1Jxy9yoZYEN44BOHrAjbSm8E8C5iQq6tbf3HHY/V1VE8jHwhRygYWlyfPwkYH95evGnF167lLy62vhcXcEmvMzxTDk5xyd8/6KC1ZCmsXHHx3hn7yGObxemxvBmY/o+dXDzQ3sqjUk/eQpn/fwZ5QKm8uoqRXIzj/aUg1v/9haefmtvYNlS8PoLgoyjF+RZGhV0Vf75PL52coERfDoh6IklfI4hr7wqDxbP6dEJqMe3ojZ1idvzxdDI4UVJpR288M5+NyBcEMEaAM6/53lMu+NZPP/2/ugNS0Dfj631nnAVJlM7jZRK46MZwJBfwII83eg2raJFbvZfVHMAxycoYnBcubqOtKUw/b//gYV/2RL6XHo4fnjgCL70P2sw7Y5nWTNzvjU+1DvCl9/Z0IyPm9vx4YEj7nsqWshSaUeoOeTrD0I+zd4qbN55AEv+sQ1zfyvm1ungNy+8h1v/Fn+CXhFa2tVhOY60p/Dc2/u4ECUOFxgz2r19eMMHvrmSceKQbHCLDSP4dELQGp+whD963pFNTpl6qc9RvLq4Ir5cXZoBDHOZ7P732W245L6X8K9ZcjAv6Ilewrf3ZjQxj27+MHK7MtCXsnUPLfhEq08WW4nO1RUcx4f9LvZ+8oQZ+p7RfB5ytBAaH3EAQ7VXV1DgPKnGJyTL54nXduOfew7jd2vfD3Vepg9eJ97d1+Qdp16mfAcwpDcovs2JoG5Zf1ok3KlQ5GbueylF/g3Cj/76Bpb8Y5sv4Wwc4M26H3zcHHjOpb9eh4c3fOB+5x9blHl2a/0hfHf5K/jqr19ijrPxynJvJx8wgk8nQ0NTGyP4hOXn0jsu3suJBr+osruD4HYccKYuPleXhHgZZ36eB1/MEADXbW8AEE6oysfyTS8CMvJqGI0Jcz204GNRpq6AiYbfkYmi1oYydRUrV1dEcjOB7C6FleNymdiZnbLEGyaMcjCKxoQ2b/GmLvr0PQdbcfG9a3FIEneI8Hx0wiXI4PPqKo01MxSa2+IPkrrvUCvz/f2PggUfAPjbFi9orT9JdPibu+vAEeFxuqpckiDnE9HIBQZFwcYdH+NL/7MG/Xt58T74XdAfX96J4wf2wvhjxPnJGMFHsfti11QndOhxXksUpPEh3/1kuMCmpOBVwLwZp9BqV1lrrBbFQkrT7CLN1QVPKHGQuQ+VZeJskz5TV8DCRHvCse7sWVNXkXJ1Bbqzq8Z62oktO3sul89zfAiiet/w5rsgIdhxHEbj4xeyvN9ueeINvPhug7QumcaHD2uh7A/3vVS0BUGgrzkfr8O+w6zgs/tgi9Z5qqjcUaZCmXmYPuqb50vkGRqNTwmgI5XWMh/d99y7AID9hz1tAb0r27TjY3zvT6/iy79c4zvXK+9Qn+WTEE+oZIPlBcNx2HI+fo1kJxBnklJ+kg2T+T0fFhvZtTCCTwiNiSw7u2V5BpotHx7EiBtX4JbH35DUwX4XCQh0j+h7ZglMXUULYNgWEMBQIdC1dqRj4/jkYuqTLUxtCt6NCn5zhrp8GK/Hj7jFlwfR+PA15Kbxif6MCrnJyXdbexvZe68rTIpMlbLvWvVpnJJPZ5VcYASfIuNwawfO+K+nMO+B9YFlRR439DzycbMnEMl2uDSvR9udnRd8NAavAzaxKW9qkE1qcU4afBJS/nrVpi5CDnbw9Na92Nmgp05WQdZcVFOXxNIFC542hnBNSN4vHnqmLj+JGeBU2tnzisfx0U9ZwZ/f0p6ST+Ihr0dWfPVbe7Dgj5t9/aTBBriktD8dtOCj3xff4hZwMr8R4kn3rAlD3Xarq/Fhj4eJExVWcONBPwvVJi8XiB43/U7JxkMu6/++Q6yGR1eYVLmZR5l3pddAC/D8BrfA0fJlMKauImPVm3vwcXM7Vmu4TorIyPTk1qeHZwLb09iCYf2qfOXpiUfl1cWnQwjt1cVpfPymLr49cjy+HYLfkyy8qWvNNi9y8vZbZ0buCyCfuOl+hFGYsO6o7GSru17z91dFeAf4HGN+LWAcgs8jGz9AVXkS555aJ/xddB+b21JIpx2XY6RKUsqf39Ih52GENnVJTvjX32Y2NkNreuA7008WlpFxfNoUQpsKoTU+Hfz7wtUn+SxCi8vx8S+wqbSjJeDzbYSdCxKWhY48bKiCQE8zYcnxOuB5VbqEcTYoLftbnIoYWTJmwJi6DCJAtBuXLX4fSohnLLlZL46P4yA0x8dx2P4EuZLLyM1xvidB0aNpkAVs884DsbUvM6eQflhWOHKwzPxIm7oC+8R1SRRZl66L5vgwC2H2i2pB01m09zS2YMEfX8E3/m+DtLxs/DVL8lsB7HXxv7W0y03NYeW4IMFvT6OcjyHV+KTi0fgE3X9/ImH5uxikPVKZX/Q1FOrvQaCfhcqsHTd0ND5x1Q/o309VWIRYIzczmsH8tZMLjOBTZIQZCKIBzoaz947LGPcyFToPuluOoh0V6Dpa2gO8ulxyM5TlckEY9S6ZsGSkYB2s396AO5/6p5cPKkDjYyGzS9WFKgCZruZFR+Mj8+pisjBnP8sEt/9YtgnT7vhHYMyRRipisezxyI7TsXzIZZBcdvSumH/uSlNXSAQlNVWJpPSzoKMf05qYMJoLfxwfdXm/qUv+vgS9l+Q5i4rpc1L031cRmHFbwPQ0Ov3MJYKxz2Mxwv30e3WF7we78RFviOLU4McJI/gUGWFMzyLTFJNNmfosE3zYyKzyQchzesKbuthp63BrB7OoyrwKfC60wU1pg1/U1WrXzKxZVR5d8LlgyVrc+dTbWLYu41bPT3ZkUSb9sCwrVDZwWXb2TF16dehGOPbKq7UPMoXPo5t3Ydu+JjyzdZ+yfh1ehmzRaGLCPGTKEMGV5fiw57V1pOXu7FSbQYvVjo+a8e4+LyK3qLwq0Dp9P+kgpdHJzeEWHZ+pS3F+UDdcjo/gzmprKHyCW3TBJygwZ5zINd7QnsYW/OaF99DY0i78XSdGlWjsqTR20Tg+4vHAbojYcwr4GJQwHJ8iI8xwE8XdkZu6xCp1WnhSTUB83B7HEbcjgwP/y3XwSDtqe1Vk6xRPqvzuJc7cLvz905mgelAan45UGsnQSWGBd/dngtHxzfXpUYa9h1rdfmTc0PXrFcXxIZM9+VuetJU7Qi1TFyOMiHd2buTmAIkreIIVB0ukIVsAaeIwuac9yhI4eKSddQ/neSeOwp3dsuA4Di7837VIpR386d+nCIVTx3HwqZ8/zdabdpD0+ferTIHeZ1ozRguAYV4HvmiQ4OCLtZWjxuejw61C02cUMm6mTa3ThOVl82Q+kCuP5Uv/swYfHjiCHQ3NuOm8U3y/q/hrXhl/vQyHLKQZVARGs+M4sIlDiOKcUtH4GMGnyAgz4ESpDZhEc9RnLY2PJrmZr1unxzy5GQA+bvYEH1nyOp/nVYQdQirtMMsLWaeiuLPTpq7m9hSqIwg+RBjgHzURfMgl25aVs1cXOZsszhUJT/ARkUq1TF0SYUS04wviKAV51zDmCangIz6XEXyyHepdmUR9I5v0U0S4lfGvLAAHmtvx8vaPAWSCxw2srvSVOyTw1ko5jm+CVd0e+n7S5iAmcWi2zP7Drdh/uBUj6qql9fGCS9BUwz8b/v1ICZ63DG/vOYyrl23G0Joe7rGkbaEj7YRLVEoh9OJMFe9gOF6RmhdCJATnqvEh/MwN738s/F2H4yMSMFRJSXO9J7rawFIRfIypq8gIMw6CTF304N17SBxng/Hq0ozjk2nH+6wbwJAvdvAIHa2Y/S3lCj68qSvci9Lc1oGzb3uaybNDTEp83ToTVBm1Y29ujRaFNZEQexrVVJWx/bDCeUWJ4viQiZjUUp70XvHmNsHiHNrUJVFvIx6ND339oTU+bTTHJ1NmeP+eADLCy0Mv70BDU5tQk6Ea0kyEakmZg81+s4So/6rbI+X4CExdE/7zKZx753N4Z69nWvPXJ69fBL9XV3SND0n5QjtZlEveQxn4JsIumrKFPoxrexRNCC2YhO0zLRSeOLC3pE+Zv2QTIwoRECT4xJEHjTVv6Z1TKqYuI/gUGWEWdtGEQY95ekI/3Cq2D9Mvvcis4dbFTzoSAUsFftL4uInadUt2HD7hJOT7+PfX92BnwxH8458el6QimdHayFwrdzY04z+WbcKWDw+6v3ncDq88nxZBF0nJNr9Pj4zgQ55JJv6Ofr2iyM3kdLJY0xqYI4Lw+fz9DYqzwiZG9Y+JYI1PGA2nuKxskqXzdbkan4okBvbOaBmv+9NruOoPG/1Cd1rO37EsMNYpWdsHdAUfJbnZ+9wq4/hwU8CG9+XRk8OainiBQKQZc+tWVyUksXtEc70x4Cc3a51Gne+BHne5EMR10JGK1hYARpAdWF0hLEPqrBQQ9wlE45Q+5ONvRVL5+AW8IEHRaHwMAPgH6Nb6Q/jW0o3uC7D/cCvey3JERIuGzM38sCSHDhvHR8+dPdN2uFgiDkSmLk/jIyNO+gMdBjbFYIcg0GBlGdlpiifybz64EY9u3oUv3P28+5ub64oqH1njY4k1PtVZwYdcsmXlkKsLXh30X7qMKG8Q/yxFu2FZXA7Rjk9kCZy/dKOyz7L+yAUficZH4NVlWRaG1/Z0j7/wzkdCTYasVxYsLkK1uCRtSiMQ7W7j0vjQ/ZOB72nwosR+78gKhDsbmnG4tSNUSAvRWCMbkKC8aW4bvlgz4ja/9eBG/OtvX1aSuelxHUYYiUL6jeIBS/DG7kbvXMnJruBTJr+fon6zvM1wQnEQyPlB83WpCD6G41Nk8APuy79cg8OtHXhjVyOe/u7ZmPCfTwEA1v3gnFBeXYdbO+A4js8G3aHN8ZF/1xm7juMvR++KZTFCiLq9LGGhPRXsScNDFGHZ0/iI3XVFGZTJgkK/qFE1PkQLIuL40G1YsMKZugR2ddJvUgv9vEWLkY8vINiN00U6pItf5rOo/4+/6iVHDNL4MIRUybOXcnza/BqfhA0M71/lJqoFRGZchanL4uOSiIsdoMy4BCIhUvV8GXIzzfFRxCBSBWwKu7iJQkzc9vetWPz0NvQoS+AHM0cK+yrCEYHGJ7SpK6B/QEaL+cRrmfH14YEjOKqvF7SVGbcRtTBBZYWRmzWI1PTRrfWH0KsyiaE1PfDefk/jI9O+kjpdwUdIbha9x9Q48mncwwsk9CnkmoNqKRXBx2h8igx+B3k4u2slWh6C//fGHmHwM3Z34X1uTznCeBm6AQz5mY3R+MDBH9fvdHOHSSrwDfIDR8QZyQHvxSH9I8JK2NdElKmYaHx4QS9svA0RR0YHSUk04V4VSaYfYSIu0+cB1H3Knk8WWFrQONLu77/P1CXS+NALv0TjQ04LEtxSAYses0uXTPxhvLoStoXqyjL3+GlH9fF7dSnIzYCeR6PQ1JUDJ6WFieMjDyGgutt82UCNj0ATtmnHAQAZQeZ1yhQctICJfhbFVFLXEU5wYzWQ8nc9lLk1wkIdRuOzs6EZM+58Fp+4dTUAdnMicmah+1RRJhckRe3KHGH436LAcRwcPNIeWqtYLBjBp8iQvaw9ufgxNz66JTByM/8zH9ocYF26Q2l8qHerI+Xgew+/iv984k28+sEB6fl87R8rND68OzvZHYaNW/LPvX7tDamLv3+uXVpZp/e5KaKpy9X48Mc5E5htWSEDGNL9JFqjLLIf6GvWMXWJdpn0EZk7u0tuzpHjwwvyexpbcMOjr2Fr/SHquPhchtxM3VNCcAYywqbIu082zCzokTh1TV0qwZAxdUk4Ppk+eOVUcZ/CCg4igZB+Zw8LvObCgLyHuqYuvoVgM6n3WWS2060nTJvic+h+qM9/ZiubqogO9Cp7V8jhyqRc4yMSQOjxyF/X8vUf4DO3P+PbcKtA1/D31/dgzI/+jp//favyHKPxMQAgdgkGgKoKPSskPVnxg/mwwMWWTVIajeNDq7HXbvtIeL4o4NuBZrlXl2vqcjU+NnNcBy3taeHOm5h/gtx1mXMsfz+janw8d3a2PbII0pGbw5i6RGPH5fiQaw4ydfFeXQGTqEyNTw4HCT5BCwkjYKcdXPPQZvzfizsw8xfPCdulQXOwaI3PxWcMw4kDe7l18qenHQXHxxKbFHmIBB+RqUv1eEWmA0BN+FfdbdF1qsB3N+U4zDvLatSUVQnhmrp03dk1NFaia2ppT2HlG3uYYzJKQBCiCT7Ue6E4/+CRdvzjn/uZY0z8JpnG0+X4yDU+on7TR/jn98Rru/Huvib88M+vSfvr6wd173/4aOa8//2HygoQ7X7mA0bwKTKYwajQ+MigIhyKCM5sAEN9jQ/9btETIFGF83Dgn3jVXl1ZjQ8n+OjuEHY2NPt2T3zd/ESimpTIgsJwfEJofOi6ExKOj81rZcKaugT3hgg8tkBwE3t1yQVcArpEELk5SHALpfFJO66nnZxb5IEhN1Man2TCdhODkiSZfJ/kGh9L6Q1DQAsIXv/95dRxfMTH/e+i3jsRNk+SyPz8MSP4eOMnLPfOsoCyRDiNjw5HSRS9fOFftuAb/7eBKaeKGq9CPsnNl9z3Ip560xPQHMdh3lHZu8KTm3lKw8dNbfja7zf4zmM2MJLn97Fg4ygDK5zr3acSUfgYcnOxIVPPVpUntVwMVQvCIUHI8zaG3Bwmjo9XltYkvfTeR0ISteP4+Usqry6e41MeUuPzyZ89Lf2N1O0LyKbU+PjNU2E0PjRXJiHh+LiZxCmNT1SvLp/GR1CNSOPD3wJRiAOGJBpo6tLvswh8ok6Re7ysCjrLOilDBDFyX1NpP/cslU4rOT6qwG8EIk1jWHKzrpBPl1N7ibHfg6rn38mm1g7G9EIHaQy7flmQx9OSgW9DSNhlfs/8/eP6D3zl6HEbhuMTxTSjFe/IAbZ82MgcSjvsGJbFG3JNXYJ0LABw+8qtwuCHMj4oDd1no6oj7nPyASP4FBn0QKg/6JGXe1UktV5QRuPDjVlRNFlG46OoXxXDg975fdzcjqa2lEvUJciYutg6VYkiH3xpB1o70u7OwSM35/6i8GY0Ap37SwuATQLBQQb6Pos0PmedNMBzOSf8HCsHry5JHB8aIsGNF65FwrCOqYt8DOIohfLqSjvC65BNnq3UIu2ZujLfk0rBB9KV3LLY3/hzPzrcivKkjQMijo+onyG8sGSgi6lNZyE1PtyzaWhitViiyNi6sC3L0/hok5u5/okEHwHPTYT2iBqfoPEquv+yAIZBWrJUWk/jQ+qUhenYJwleS1cn21SHiaodNq5S5pzSEHyMqavIoN8FOtdPVUVCa3JhOD46pq60nsbHR26mvvPcoY8O+180R1AH6d/ug0dw//Pv+c55eMMHPo5PHJE+yX0kL53Py0pxm+lb2iwQJGWgBR+PxJz5/pVJR+O+yyd4x4nGx4qeq8vT+FhuXTzEGh9e8FHvqtlJnSpDCW/qPutHhpYJPvzzImOlVSBYE40Rq/Hx90k2BDIcH3H//u/F9zH+P5/C+Fuewrr3/IEEyevFkJE1AxiqkI5YX1D9/O/7uPeaFpzDrl+WBZS7pi5NAY97KqKhw49f2aIvGhs6iBLYT0Y/4KdzOqo66RcdxkCUUT6TMDor+EjIzTKtseNkzLwt7SnpPQgj+ES6N6Uh9xjBp9iQjYOe5XoaH8aDgCsvMnWxKSv0NT60wNTECQD7D/v5DXC8CZ+8h+Rlu/jeF/FRk+AceDwU4qoZh8aH5/i4WdEV77hHbo6m8aFNirZrNsvUNby2CmUJ27svFB8lKPIxDXohIL30zhZpfHRMXWp39hQT1sBfT65eXTwPQVQdPzZ7lPsXAHJPEwJTlz+AoXw3nuH4iDVehN8m46yQd4YhI0tuTxjODH0P49T48PflI+69pjc8oTk+sFAWktzsF9z8bbJaT2DLroO+MkAmSOlF/7sW6bQTKmVF7uRm7zhfkyh4aEub3NS168ARTPzJKvxl8y4AQIXE1JWwxct62gFm/uI5nHP7P6QpjXT5V5n6wt+bfCeI1YUxdRUZsoGQTFhaL52KSCf06qJTVoTI2q2KgyHT+JBSSdtGWyrtCmaiWDt8n8nuMI4dArkWcu3lSRtNbSnli+sFMPSOheH48HGP6H54BGSyGJPjIXN1KdToIoHhiMjUxZ0nsvGzCz/9A7voABpeXQG7fT1TF/s9s/NtR2uH36vLx/FxJBwfRbcYE4EGT8Lrg3cdBLLbE2acqzS1qjqDFh3+94+a2Pea5vuEfi8tL++d9uKqRW6mPqcdbFPkLnvpvQa8vfdwKC1ylDg+uqYuUQRxluPD/r7wL1sYjRYxdfHzuCxFzpG2lOuu/oNHxN5boUxdOfKfigmj8SkyZGNHtDOVlWtq7UD9wRbfQDzU2oG/bP4Q5975LN7dl5kQ6Mi8qp2PKJiZDIQLwAa38zg+9KITBBKLxeX4xPCeuBqfNNH4ZOpWxTEioCerwyG8ukTZoD1zELJ/ieCTdo+HMnUJBA+4dfvLRzZ1STQ+IlNXrl5dvKlLJEjxfSYLQKsg0J/Q1MW7bafV7uwyjlPQtZD3iz5HZpoKs3sen43mHgSfqSigCf793H9IrJUFwu/cbYsiN+tyfLjvYnIzqyGUmboIypN2LBqf363djr++skv4POnqmXcE7Ge+6g6O48O3zXvQylJWyN5BupyI/wkYU5dBgSCb8NKOnuCTTjuY+F9P4cxFq/Dhx0eY3w61dODqZZvxVv0h3PL4GwBYb6PW9jTWvLNfTHr1qZnlfSBmK57/QSbHZILVbKhAeEmeV1fubwrpO1nUSd0qQczN1UUV0Y4/AnaSIddA+kEEHr/LeUhys4jjk/0uqqdFFNqeOyTW+Hhgvbr87Qd5dQXt9nkhQ0jx4TU+ArdelanLb8ZVZ2enf+Pd7VVwuWXUOXKNT7RxruJU6ZiKaPhMXVmNj5DAG3IFs2AJ3dkfenkH1lPpRGhokZs5DaEouj2N8qSdszv7jo+asfAvr+OqP2wSmuKZDYmE4yOa11Jph4mRRt7FnQ3NeGfvIR89oJLKfUbXJ9P4tArSiPBoS6XR0NSG3QePBJaNor0xpi4DAHKBQlvj4zjuTv7Fd9lggjS5mWzk6R398g0fYPmGDzD1hP74v3+bxPVLf4Duz5q6fPm3sn9lKRvIb/RiSkxdbgBDjfZ1XaRJOY847WTbkJ+vCvOuAqPxcdvJgMxLYnJzCHd2pj+kjiy5WVBelDHbZ+oSpqwQL/bMRK7I1cXUHyA86pm6eI1PVvBpFwUwzHxPWJ7gwz/HDw8ccXlq/Hi0LItbXL3PQZoDUpYx70nuT9T1QB3AMJzGh+8D4QMO6dMDHx44oiwbBJbcnLkx695rwHV/yphctt86U9Afdf/3H27FRspt23Eg5a7QdYZKWcGVfeyVXXhs84fud5GGhNaKslpZ9VzSkXYYz0TStixUB9F0Ok6mLNlgyniCuibGcbesBAC8ctN0N5+gCJocde4cI/gYQL7optJ6g0SVEI8mIddkB7CIH/D8O/t9x8JI5sTUxeaOok1dtu93gmSCXWhcd/Yy/QCGQepZsgiS+0l2nsrIzdm/dIkwql02ozb56zB18+RmC4CElygEm7Ii85c3o9HQEXyCzH9s3Ch/+0GCT9Dky0ciD2PqoutWeXXxY/s3L2x3Pyc4wYf2oqHrzXxWXopn6qLOl92dyIJPCPd4HXdqEQZVV/gFH0kdCVvMTbQAityc+X1rvRfHRhQLLEhjNXnRKsZZI5V2NASfcO8xuZZHNn6A367Zjlc/YMnTIocHNmWFuF7R8baONDOG21OOsq9E4AcyYz+ZnddkGh/dIIME7+1vwthhNdLfRX0rT9rK+diYugwAyCe8tOMEEkFJOe9z5i8Z97TatKYqI/joupLqDNDanuUAPO8PVsXr9Y2QGkUvSpnENlKeSGj3I2gxdQWP7IcyLiq0yE4v8uoKs1thBZ/seeT52MTl3FuMgaxXV1RTF+k3+Suoht5Nen1jvwtD3Tvi39mUFUTDEqDxCZGkVGbq8pGbXY2Pf6fNk5s70o5SYCnnxqPj8N5rdP+CBG5k2wzeaUc2dSl0Pj5TkaZmlEf/XhXaZXuUiSPO25ZFaXxS2b9eHcI8cnybXP/5hTzlONgbYOpKh9X4ZK9zwR9f8Qk9gDjEBf2OfPsPm3B9lkjMmEwFhHfeW1aknaRBBH6A5W6GCYKqQhCJXtS3iqRapCiVAIZG8CkyZDvsjoBBTyCKElpVnlHk0fZukqFaZxLWVQcf1a8KgGfq4hdi8k1FbpYJPq47u8Y90F1M3azGCbkGiodssgqC6P75NT65mbpEk4hn6hJxfII1PuIcP2KNB1OGE+pkCNLO0c+7Q2Lq4scE4TrQHB9X25g9nza3qiZfYi5w64Fc4xNI1OZMrKK+E0Tn+Mh/47u351BrwG5cIvj09gs+su5WSgQfWHSurszJdLiNjwUpP1Tu+KJ38UhbCo2C2GVsHfHG8RFpfPj7+Id1O5RlyH3hk0p3BNAdypO2+/xbU14/4hJ8gjREor4RxxEZohCi8wEj+BQZMuEmnXYCd5QA72qb+UvimvDqaSDYlOE4Di763xex5B/bAts+qm8PAN6kxU/wLrnZtny/E8jUsmR3qLMeBAs+YNovS8r7Q+CmrIhR4+OZo1hyM2Pq0pizkgJB0q3b7b//PKGpi7sHosWcvmxZihRyOChyc5DGkc9sLaqPfwxuHB8qZAJv6iJ/O6gyIiQ5QTyd5jReAi2X/Fr8Xl1hTB+5gu/fL5/ZhvPufl5aXvYa9c9qdlV1E/QoFy8pFvzu7LRZSpTyw99m5m97Ko0X3/MnR577m5c16tDjThIECbcix5CgzUGmH95nsvnjNT4dqbRyjNHRsGkhRTanhkUYRwRdlIjcE03wWbx4MYYPH47KykpMmjQJ69atU5Zfvnw5RowYgcrKSowePRpPPvkk8/sjjzyC6dOno7a2FpZlYfPmzb46tm3bhi9+8YsYMGAAqqurceGFF2LPHjYD7/Dhw2FZFvPv1ltvjXKJBQM/CZclvEU5bEhwMhCrsgsBHXeDkFaDhITGlg6sk3hZ8CCmLtIOz88gX5MJOV9H9pKGCWCoq0VwTV0hND4s2TawuIt2gTu7q/HhyM2kH5Zlae3W3NxfHKeKrdt/XksMpi4ZuRkuuVnRceiQm1mNitjUxWl8KJU/maw9r67McU/jo558faYusJwg+vqDNhEuuZnmBUkWi6jeLkrhS/DT1j2HQtdVKzB1STU+kh2/xZi6soJPoyf4iDU+/PfMgYV/eR1f+dVLvvI65N2w5OYgDYVIKyK7j7K5jNwXPu5akIOLbVmu9pp+r8IEQVWBdq0/2NyO5et3Mn0U3e5A829nNXU99NBDWLBgAW666SZs3LgRY8aMwYwZM7B3rzgz9po1azBnzhzMmzcPmzZtwqxZszBr1ixs2bLFLdPU1ISpU6fipz/9qbCOpqYmTJ8+HZZlYfXq1XjhhRfQ1taG8847D2nuRv/4xz/G7t273X9XXXVV2EssKPiX0F2UnXARRgFvUIns7GSSDnrpwySpI4RpInjw8StIf3iND724l0lswkRlqnMLwpq6yql7DIgnJJfcHKBel6FDpPHJficCj5uri/MiCgK5n9s/asbeQy3ZfrI9j0xuDsjOzhCa6TLZL7mSm/n7rRXAkBrvhOeT5sYaqacjnVZq7nhTV9phr1MrAaVbVqTxkWh4I64HqvOkbUlOioPjU5awhcKqbcEXuXnfIc8UL8oKLjPDikxHughr6ko5aoKx8BwNjQ8NMufzsXXa02nl/JewvWjY9HsVpHXVBa3N+sGjr+Hah1/FNQ9tdo/JPNNU6LSmrjvuuANXXnkl5s6di1GjRmHJkiWoqqrC/fffLyx/11134dxzz8W1116LkSNH4pZbbsG4ceNwzz33uGUuvfRSLFy4ENOmTRPW8cILL2D79u347W9/i9GjR2P06NF44IEHsH79eqxevZop27t3b9TV1bn/evbsGfYSCwr+5U5Su/mweapIVUTjQ4Oo+INe+lCCT1VG40NeOn7RJHUlqN224zjMrlqq8UmyGp8l/9iGH/31dWHZto6Aly37M7m0cs6dXQhfjJ2wpi6/ZsQNYJg97tf46E1avSo9Z8zvPfwq04YqO3urMI6Pw333nycz96UdB2u3fYT7nnvXG8eWWusTNL5Yd3E9r67yhJ/r4GnXshwfSpOq5Pjw7Tlse7xGSudaRDnVeETdCas0RbLuHRQkVAXkC3b/XvqmroRtCXl7Qo0PY+oSaHzcc0mbwiZ9WPDZk6S/pUNuKFNpB4dDRGwn54gg6z6Zj3zk5pSa52lblPmQerfj4vjQ/KUnXt0NAFj5hmdlEc2fQVrQG/+yBZt3Hoilf7kglODT1taGDRs2MAKKbduYNm0a1q5dKzxn7dq1PoFmxowZ0vIitLa2wrIsVFR4O4/KykrYto3nn2dt1rfeeitqa2tx+umn4+c//zk6OuSDtrW1FY2Njcy/QoN/SchL0JGOrvHpWeGPUtCedoQxWniEidxJPMWISpavnvA5aN5E2mGT80m9ulzPq8z3W//2Fn7zwnb8U6CqD9T4uLyPTLlyLXd2jwzL16MD+tm5cXw4rQhxXU9Tx3Xc2U8a1BvnjBgIIJO/B6BMXVz/aYg1Ppm/nteTWuPDLLQOMOdXL+I/n3gTT2/d57av0lrtbGjGtctfwZ82fCD8nfeaEs3h/FpgWZYrKH/48RH8/fV6dwIm10XH8VE9R348ph02uKEqNx4Pl9ysMYaiCz7y32R18qkovPLiekTkZllZ2/KcB2hYoMjN2U0YHWWZzwQP+Anq5Hp4cySNkwf1xtFZpwsR0ulw9zqVdtAoERSlbQjqT6f9YRQIiFDu4/homLrKRRqf2ExdXn+G9Kn0/S4SyoI21vsPt2HW4hdy71yOCCX47N+/H6lUCoMGDWKODxo0CPX19cJz6uvrQ5UX4cwzz0TPnj1x3XXXobm5GU1NTfjud7+LVCqF3bt3u+W+/e1vY9myZXj66afx9a9/HT/5yU/wve99T1rvokWL0KdPH/ffsGHDtPsUF/iBkrQ9PkzYyZCUFpu60oHS+JOv7caCP76i3V7fKm8neOXv1uMf/2TNncTcQ++iU2nHl5VYBNct0mEXiyMCLwpe8Dmuf08c278nPjsqM+74AIZkcQutwo5MbiZ/Pa0IINb46Ji6LMvCVeecCABoyqbR0NX4OI6DTTs+xv888w7e29/kc0MX3hLqGJ8UkodtqRysMyaN5Rs+wB0r/yn8nRV8xPeDfy8syzONfvF/1uBrv9+AVW9lxiIfuTnI1MELPg7fp1Aan6wmVMD38iGyqUt+ouwXYVJhyN+HflXlSu8xGpZlCc3XluXd27aONA4caWfun4jc7AbFtImjQeb4kBr/Ikxg2+pEvw6cUPFsMoJPWI2P4JgjZvgkbMudHwl/pld249oRoJ2ktWthosrroqk1hZb2FBzHwTBKmCTjRDRedDbXpYBO4dU1YMAALF++HH/961/Rq1cv9OnTBwcOHMC4ceNgU1vkBQsW4Oyzz8Zpp52Gb3zjG7j99ttx9913o7VVvMO5/vrrcfDgQfffzp07C3VJLvhJmPY4Ck9uzvwVm7qcQMHnmw9uxAYqEmoQ+lR5UT1Xv7UXN/6FNUXxu24gM1HTOzYZ56OCirVDv0yiCZjXUtVUleHp756NhV8Yla0DzF/3HmsIMmGSUtJgyc1ZjU/2u8fxYfthQc/UZQHoVZF5xjwh0kuAKj63tSON7z38Kn62Yis+fdsz7oKjapeesunhKnan13PJF3kc8nWm0mlm7JB3hW+XzgPFgw9gCKjddP0cH1bjQ0/2QbtbMrR1xlAuHJ+m1g78629fxh9fZucvmYaBz7oe1LeeFUlpfB4etPmFBmvqYlMzAGpyM88RHNhbLvgkbUtpanWckPmoHAeNLeE0PkLuS0qcFsW2vACvJNK+K/ik0sEaH0EakLgIxO/sPYzxt6zE9//0GobU9HCP78lys4IcIUoZoQSf/v37I5FI+Lyp9uzZg7q6OuE5dXV1ocrLMH36dGzbtg179+7F/v378fvf/x4ffvghjjvuOOk5kyZNQkdHB7Zv3y78vaKiAtXV1cy/fOGdvYdw+f3rsGkHK1jwL0kZFeU4Mrm5PLqpKwx6lCWUO0HyMtITYSrtMOYckZmqLGG5QkHaYXdoIn0CLzyRRY4PQkheVBIckew4RS8rWTTYRc9fToYOhuNDFmxyDexf2qtLR0ttWZ45s6m1g0kI62p8JHqXptYOvLPPy2DdxvGwRJAt/OKJ3FLnUchCpvWj73EmZYX3nYwVfr61YLlegDzclBWM4CN/kD6NjyMP4Bgs+BDum38s8CBjNKyVIu04+M0L72H1W3vxvT+9yv4m6Z/M1CVasMsTNsqTtjw+Dwfa/ELDAktu5oPjicjN5F552rrgVdW2LaUQn3YcIddNho4opi4R9yWdFqrgbMuv8emd5fAFenXZFmM+VLUfBU+8thtNbSk8tJ4VqN/bl8nwXirpJ6IglOBTXl6O8ePHY9WqVe6xdDqNVatWYfLkycJzJk+ezJQHgJUrV0rLB6F///6oqanB6tWrsXfvXpx//vnSsps3b4Zt2xg4cGCktuLEBUvW4h//3IdvPriROc5HZyY7zrTj58x8ZoT6OshLIiM3hyEu6yBhW0p7u6fx8cqkHFbz1C4gJpclbFdr4ID1kBLNafwOPsHt8sn76aasSHoEchnIL2nJohcEkanLzWCevR0+Uxf0tCUWPMGnI52ZyHlFuqya9xuahQKLUvChPrOmLpnGR1qVizbB4sfXn3Fn9wssvPBgW/LAaeR+Ju1gLSPg11Y4jiPNsRQ08bsaH8arS1zW9YAMyvLKwXEcadA+WVthTF09s5pFfY2PjNzM5uri5yIhuTnbHf49Vm3gkralNBenHaBVEMhThlRafn9V54iOid4XmwphQcjEVdl3uz3A1GVT95SOWp4PxylaI0dCIpSKh1YUhM7VtWDBAlx++eWYMGECJk6ciDvvvBNNTU2YO3cuAOCyyy7D0KFDsWjRIgDA1VdfjbPOOgu33347Zs6ciWXLlmH9+vW499573TobGhqwY8cO7Nq1CwCwdetWAHA9swDgN7/5DUaOHIkBAwZg7dq1uPrqq3HNNdfg5JNPBpAhUb/00kv49Kc/jd69e2Pt2rW45ppr8NWvfhV9+/bN4RbFA2JS4El8Po0PRbzlNT4iFTJTF9FoJG1fssX2AI5PlEy7ZHcn20G1Czg+6TQbR0O0CJUlbFdpkHaC1bj8JMq7MJNzyIvqurMrrtm1Y4dY6GR98gUwlJmjLL0YHJZloSel1ctofdwq3DIivLP3sPC4tsZHQwOmZvl4aG5PoVpAJqY/07t3Mn59j8GSC+A8kRxQa3ySHLvcAX/NITQ+2Y7Kgj4y7ZBF3rJQlrC0eShpRy7kymr46LA+uZlEgdfh5QGsgMMch4Xy7IajPZX2eWLyxF6AivzOvceqeSwRoDVNO44wdYuqfFiNj0hT35F2hB6sNMenhQg+WSEzSOOTsCxXSKJTfuQjVs7be7x5Y822jzD3E8fmRcAqFEILPhdddBH27duHhQsXor6+HmPHjsWKFStcAvOOHTsY3s2UKVOwdOlS3HDDDfjBD36AE088EY8++ihOPfVUt8xjjz3mCk4AcPHFFwMAbrrpJtx8880AMsLQ9ddfj4aGBgwfPhw//OEPcc0117jnVFRUYNmyZbj55pvR2tqKY489Ftdccw0WLFgQ9hJjBz1ZjhhcLf0NYIm3Plf3gN0gmSwJ56GDehnaU45ywm8K6bIJZF7aiqQNWUg03p0d8L/MIlJeWcL2FipeQySY9HibPdEw+UxdnFeIaoIQvdRRU1a4Gh8uyCAvnNi6pi5k7mlVeQLNbSk0taYo11/LLSOCTPBRaZpYjo/6HuheA5AhqpNUKl793ucObpfsmboEGh+pqcuv8VERQcVeXRKNT5DgQ4IphtD42Famr+0pPa2E44if3X3PvYv/fOJN4Tkyjg/p54DeFa7HFeGbBOVgIpCZumyK3NzekfYJB6LgmrzGh9x71TyWsNkgoHzSTCesqSsVnuMjmqNSaXEUcsvyro/wnkgk8iDBJ7MBypSlY+7kQyChOXlrt32E9pQ6HlapI1J29vnz52P+/PnC35555hnfsdmzZ2P27NnS+q644gpcccUVyjZvvfVWZRTmcePG4cUXX1TWUSxs/6jJ/Ty8lnW19Acw9F5yfmejMisBlKBhWagsSzBxGDrSaaUXyuGQ6lzSjqpPtCBmWZmJLHNd3sQj0viUJyzKnZyd6HjzSGNLu6+OpE/jA4YHU0aFDJCBLLjMDt9x8MSru/Hz//cW/ueS8Rg1RMwJe3ffYdz6t7e8ulyNU+Y7n7KCQNvUlS3SsyKJ5rYUDrW2C8w/4nrelkTuVYW5p6tmP4tNXTqeaYB4l8+HD6DXx3ZXC8e1CUtObhbca5U2xW/qykXj4y8n5/h4/bVtAJprrSyth0zoAYAGgVmJ7tvIwdXYdygTnqAyu7DqanxsW6Lx4VyveeFFlPqBvINkbG7acQAffNzsvrcizVjCZhP99ihLMIJPkKnLtvwE/rBeXSLBrCPtQGQtTNiWS28g4SZos6JKSMtsfrJcP2qujxoFXBeHWzvwys4DndrU1Sm8ujo7Xt/lxQfipyheanbd2QXxJoJysBChwLYtHxmxPeUovRl47yAd2LZ6QiS7Ogse4TCdZhcCkfBRRiXfy7ifpoXlH1izHafd/Hf834vvs/2yWMEHYBc73tQlen3Jrec5Pt9auhHbP2rGVX/YKDgrAz6cvufV5QmCfP+ALD9GS12SKdPLJTjTGh/2Lw+a2ExDl+MTpL0IcmenIcrInebGBv1+EE1NGI6PR3T3NAFqjg+v8QHoOxCG3MznDVOdQ6cz0dWuAJl7EZYQ3SqI5wR4c9Gx1OasIUuEDtp0Ecg4PgDrzk7eR5JuRDgWiDBIXeDl969z5zlRnxKcOzs/Z6bTao0P3/dUGjhwRCwoyiASfFIpcRyfDMcn0ybR+NBzt2qsJmyPg9XMpJLQF0iihvz58MCRSPSIUoERfAoAmrjHbzZ5qZmOMOvTBgVMiJ6Gxb8D7kh5Gh8RUZHPDKyDhC1Wa3v9IYKYN3llUnF41/XF04f6zstE4vUEJVpooc+96bGM+/yrHxxkzvc0Pv6+AN59VMZA4YSVTF+8z6KJmqC+sYX5Tk7zvLr8vBNyXNerC/AmvRfe2e8KtZ5Xlxg7G8Ru5MqgZxJ3bFmqD92YL6rFDoAv0jgRpH0aH4WwQF8WEb7DeXU5rPDLCcIqdAgEH9kpDrXIB2W4ppHh+IRbvXhXcgJyW2iT+gcfZ8aLPsdH4tUlITcTU2drh8B1m/PqAoBt+5rc+aBCMI8lOHd2/tZ8a+lGLH1JnvKCF6ZSjoM93PscBJFGsT2dlsa9cjk+WXMfk3tOIaRZlljjE0YeCTPWaBxpS3VqU5cRfAqASycPx03nZWPKcKOSF27oqMK+GD8BqyLxduB3PaQ+slMiCyaNsAQ+IGvqUkyIhMDIany867r30vH4wmmDfedlvLoynx2oTV3CflG7fO88716SyLIqkiQvrACsdk72zovU6K6w4Joz4Otf5ru+VxcAl+B816q3sejJN7O/EaEq3GKo79VFHRfcgyBT1/EDeuLkQb0BiM0bvFcX/f0b/7cRextbBAEM5eOQvg/kGtWCj9/UJXPnD5r4XTJugKlrb2ML/jsb0NG2LGbhC0LaEeczU0Em+PDu45ljmb/6HB9xNHaa+0PzDfv08DhefL/IneLHZkdarfGhTX/8WJR5tBHwm8tUKo1dB8IJPiJhhU7aTMOm3vnWsKYuKcdHXyAJM9ZoNLeljKnLIBietxY7kKXkZscv+ASRm+lYLvy5Hze3YVvWzNFD4O4uCiAWBDvInd0ltVAERUqTNe6YvsIFtyzh2ekdh43jo+PtkhBpfNK0xodwfxQaHzLtMpwTdbsvb2/AKQv/n78uV4jyzBmZ/vmvPQzHpxeVmuSVrNZLdnrQBKfr1eUwGh9R3+Raq5GDq/H3a85CdQ+/JwoBn8mc/v7O3sP4zvJXJBofianLEgk+8ufOBzB0wApfDLk5YCwSwToogOGlv16HJ17LRKC3LWjHzMnUF95ccaRNPJDpCOK3zR4DAO6GTZvjY3neWzToyM2ptOdZ1asy6Y5ZXhB23dcpQbU8abvPT9SnhMW6s9sW8Pt5E7X6DviFqY6046aF0YWQ45MSu7PTXl1CU5dC8LEpry4SwR0Ix/EJq/Ehc86R9pTPetGZEIncbBAe3sLPHvdxfChTFy+8EDVukKCdsCzfuTsbjuC6P70GAKgq8z92Ucj4IARpfDoo0xuZnOlJISkJNjagdyXlzs5zfII1Pjy5me4LwE7AMgRpfET4j2WbhZwlz2yWgYzcnLlPOhqfLMen0v8cydl8PT3Lk2hp94TbXhVJhteljNws8WQSkpsh1/iUJzI8GxJgUyT40FWmUv534KV3G3DcADbxsG2pAhj6BR/VYiLi+DB9CuCn0RC7s/vLbWUI53KitgiO44TW7olyttF9S1gWLhh/FD598gDUZjOzl2sukHRsGRoWWEGFPPvyhI0eZRnvRD4djch9vW9VmXeuSPBJsF5dFix88sQBGDm4Gm/ubvSV58HX+edNH4byAuP7S5BKO9IAhonsnE/GSTJhueFIlERsGzl7ddHvDR8CRQQybxwxGh8DHfCxKAh85izKnV0s+ARPcgnbL/jQqCizfTt8UQCxIGQih8onRELMs+AtOvQkkpAEGzumtso97jjsRNKRcnCkLYW7nnpb2S9SPwGzaySCj+K95bU0QDCnQ56Gga1LJpzoBv8j3CBRMlrXnZ2rp4ozb/IZt9X5jTwEmbpU7uykDdFk7dXPalf496UtlfabuqDi+AgEn5AcH0bLFSKukyinUXA4gHAaH8fR51QRyAUfb6MCwBV6AH1ysyUhN9vZ+EQE5NmXJ2034OoX7n4ea7btd8uQOzVt5CBMOKZvtu9ePDKhqYsbf54jgVb3faZO2jFFF2KvLgnHx/YTsMsStpaQnrDFGp8w3Bv6vekt2EjxIGWa21KhTGpxJU6NC0bwKRBccm86SPDJlnMc3wBO6GoEBBofGkmBiUrm4qpCUORmMgHQsSpowYfm8tDICD6Zz36Nj4PFT7+D/35KnOQS8CYS+lbROxlP4yP2EqKPqV7t13cdxB9f3om9jS1K7hEfwNCWCCf0fVKBaHxEnC+L+0tABzysKk/40prou7MHmbpErWdArruHK/ioyc2yOCb/3MN6pmXI/LLIzd5n19TV4U+lQsDfB4fbqNOPWZfczHJ82DK8N6Vt+T0yVYjC8elIi2N6kesRCcEyjRoP25KYxThN0OHsQp20LXc8HGrpYDwiyb0qT9r4xZzTAWRItS7HR9BOkuM3etpVvXsk80gLA5FgLef4WL53vixhMR5wMtgSjk8YUxc91npzMbVEIILPkfZUKK+uUhN8jKmrQOAT7RH44/jIyc0ZDUlwWwlLLfUnEzbKEhZoPrMoV05wO2q1PGvq8u9gRCRsADimtieTsoInN7/24UF1v4SmLj/xW8WTFml8eHzzwY14/6NmlCdtPPwNeQoW8hjJhCTj+FhQh9unCgIAPmoSCKuSuuk0Jv16loOf36OkrJAlKZVdAtF6EiGsOSCOTyrtaKntLctL2uprkzZ1cV5dZQl/oEDd7OyOgIPHg48YTh8jeHcfL8SFI5ymHfiepQ6OtKeEwRoBsdkzV3d2YgIlsXfIQl2WsIWmd4AK+AmP8NvG8X187XNace9d0+p+KDOjDLI4PkKOD+XVRUBrfFRmNlvm1RXCMndc/56uV6zOuOuVFY6OtHWE0/iEVUvmGUbjUyDIND6qyM1RTV12gKmrLOE3UUUxdQXFHBGZuuiJS6bBOqafp/FxHJaM2p52AncPIsGH1EFPNCobNa+lEYGQHts60tjyoVwlzmuPRHGGAH1TFykiisDrany4emizWL+e5b6JSE1uphd+77jo/qnIzaTJKpXGh4t5o7OrtCyLIXrTEHt1ZeoULdC8FkiWnV1HIEsJND78YsFH0rYU2isReI1PJuhjcOdahNo2slHxlw8TuVlUlgj05J6TZ1+WsIXOFgDcF8ayxA4ZonZ43iD5qOvyL+MsDqWykwdBxPGRZWfPaHnZNsnGFAjS+Ijj+AQJJLQQe9EZR+P8MUMAABOP7ac8DwB6V0TT+ATFoCs0jOBTIJCXkdfE+HN1UaYuCbk5CLZlKU0vZQkb5dwE/3FTBI2PZhwfWPBpfGyL7M785w3t28NzZ+dNXal0oPAn9OqiYwplz3cDLArqI3depTamz1OFtXd3/q7bHXz9I4e1TF3Zdr8y6Whln2gcP6CX+7lvVblP06arig7iPFmQ5+oi9120S/Xq9z5rCz7wdqI8RF5dbZTGhwfvOek4Yo2PTr9IGfod508jqSEIbDucxsdx2ESuHWlHmcSTQOTSrjR1hcjVJeb4ZP6S+YJE7S5LWIw2km6H5hxVUEFNVX2yOa24KHK3CqK+D+hdgRu/MEqvAohNXTKnDNqry+2DrRdsUxa5OWho0kJkj/IEfjHndGxe+FmcP8aLqVbbs1x0qrvBaG4L59WVCMgzWWgYwadAIO8TvxuTuaw7jt8Mpq3xsSzl4E/ati9eRRSNT5BXF/EUo+3YRPAhEapF15OZfLJaGYc3dTmBqn2y2LELgpfOg/RFdY88YUVehu6XKg6SS27OFrcF/SPfdXampMQXThuMx6+aigvGH+X7jb+vpx9d437uW1Xm+13t1UV/9r6IPEBUGh9y38lCd0RAbuZzYfG718nH1frOsS3WtZ/W2tACHVlgyHPjhf/MuX7zD2PqS0cQfOiEtdx5vFlExVcSwXHYRT3tqCO0E4hyY5Guid7JcO7sIlMXq/FpojQ+vBmWwH30VmZc8YFXpRwfqv8y7aoMIsHnyk8e63MGUEEax0dQVszxsd35URZlm5zranxCxPHpSd1v8q7UVJUzguRMQXw1gOL4hPTqMqaubgqizuxIO3h332H8acMHQnMWTVjlX6CkLsfHVk/MZQk/KTkosJcIQXF89mYjnrKmrlS2j/4J6XOn1uG57306ezxzLJOygjZ1pX0ZtHnQuwtSDwmmaNuWKzi5KSuE5Gb2L48UZwLhNT5D+lRi/qdPAECnrMjAE07YOrVNXZT6/tShfZiJzPuNPeeUIX3cz0faU+FMXUz0au+4aIK1LbnWyTV1ZSdrkcaH95rix/HR/ar4U2BZFuORUten0v1McyRsTvARRUIXBzD0a7l0PGdE5Ga/lxr7PTy5meOypfUEH5HGhyxkoldaX/ARCw+ki2S+IKaZZMJmiPY1VZTgQ87NvjE+wUfiPca6s3vHdSDqe4+yRGAMNRpSjo/wffFrfJIJL39Xq0LjY1MaHzolUZDgQ2t86HtIE9iPH9ALz177afzhyjOZc3sZcrNBGLgaH8fBZ27/h3tc5s4O+AWfTAJDPY3Pf0w7EYv+9hbOGTEQq97ay/yeTNi+F1mlUhWBDGTVhEgWNnpB9zQ+WcGHOv0TJ/THsOzC5iYYTbNq4lQqOG4JPZFktF+Op/Gxvdw4qhfXTSwqmUT4yY0kMvzUSQNQV12BKz95HJ7Zui9bF1unlOMDvZ0RX0IkaKjIzR8dbvMF6lO6s9Mcl0BTl1w492t8FFGu4Y/cDIhdbnmNT7+eFW5qDloT52p8OuQcH/5eOpyA65q6NPT8Hh9Iburix1EQb87XhsPm6kqlHGWARgLVvRdqfEKRm+VjyTV1EXf2hIUe1IJbQ0Vydi3D2epogdCyxAFdk7Y4ZYWuwkEUfLGyLBGKoyLLzi706rL9ZqBymtws0MwRJCzWTNjc1oHyZHmgqasnox2lBJ9kgjl+dG0VWrg4Qm4Aw7aUMJyGDIbj001BJhN6sVj3XoNf8KEmPX5STCZYNa5sMrItC1/71HH429WfxK1fPs33e5nArhwWCcniLesP76VAXnb6fLpPHrmZ3cG2px0EmYtp4cHl81Dk5oTgWfDgPbF48ARGovE5aWAv/OyCMThxUG/GJT9TF+kT2zcCS1Ow5RdnxosFxIzGnpOwLVw742TYFnDNZ0/y7cCU7uzUZ9UinumLfJEh/SS7+q17DmHD+x9j/tKNeP+jJgCsp51II1rdQ8DlsSwmmGNl0nYn6FOHepouHY4P33UH4pQVOhofcQBDztQl2NyEi+PDc3zSgg2T/zw6lk9HKo15v30Zj27e5faBhygvlgiWhNxM6iRC0RHK1EXfn749KcGHS+pLL/JltjgUBu8pGtadXTSnVpUnQ7m5yzQ+Ioi8upIJ2z2m2pAS7ZonTGbuaaDGh3qW9HpDPzdSJz9PkNxqR9pTodzm+Xmt2MEPjcanQKBTNhDw2acBdgHiXRn54HBlCQuiXJkkMODIwdU4JCDdliX8RMGwsCkNVhAyGp/si8xrfATkU/q4A3bS6EilfV4QPOjfbRtAiiY3W27fVYuXw/3l4df4ZO4zPTm7WivC8eHIzfwzsATHROCLCHe4vjIWvvXpE3DFlOHoWZHEkn9s8/0uA6vxCe5cELl5yvG1GNynErsPtuDLv1wDAHjytd14d9FMH4eIF3xkGp/e1O6zPGnjpR+cg8OtHRjQ2wvCx+fqEnF8+NuQdsQpK3QiiKeyZqd17zW4x/gh59P4ILw7O11lKu34FsukbfuO0YLPXzbvYrTCIrOEvsZHbeoii+6B7PuSTNiMVoM+13tdsqYujpsiGrM8D9LdZGjeUpEGu0e57dOQqiCOkZSWeHVZvvmsLGG55nylVxelQW3rSLvmwyCBpErA8QFYwYfMz2Vc33pRAQxz8epKOQ5saSrl/MNofAoEseCTlrqzAwKNj82SX2V2Z3o+EHuuiEm0/SRMfhESlGDCw08E9Gt8PHKzuq9px2F2xR1pDXIz9bvnweVpfEjbOu7s2qaubHb7SkbwYety3OMSU5eluTPlioi0RPzzJfefqKdZIVMtcDEcn4BJVZVhnhyvSCZw+ZThzG9pB/jnnkOsRkkQx0cUZM2CxajdHSdznYOqK5lyvOAj1vjwpi5xAEOdWCmptIOFf9nimjyBfHB8HJ+w6NP4CN4XmuPzq+fe5coLBJ9cyc3ZKvtktX37s95s5QmLEcJERHqRqSuZsIVzmC9JKcTvmgxijk/SJwCoIMzOrpGri+6Dy/EJiOMDeHGxSDDMIIGEvo+0QEsfJ33lzXC0qSuUVxcv+BRZ42MEnwJB5M7ekXZ8KlB6Z+GfwPwaH2FbAk8WGmUJsax9VF/9WBVkchQthAN7swuObfnzJIkyqAs1Pk7GvEXQnkprxPGhND4Wu9glKHIzuffCV9A1dYnb4N9bolmroiYPco94vpDl/s7WYVmWMm6QW457evScLktZwXOHeM8X1R11HM+LI2i+UpGb6ec2uE+l7/dNOz5mTF0ijU+1ROND72Jlu2QvgKGK48N+TzvsDpoIy7oan2Uv7+Tq40xdOXJ8HMAX+8i/YfLXRws+fKoV0eulLfjYaoGyb1VGcCVmmWTCZngk9N1x3HMzYEw0CbGAzQd5pR0BdCAUfMoTMWh85NnZRWZn19SlyNVFxjPRgpLNV9A7Sm+YyyWmLtJXPjo8aastlfaZaZVtcmPQCD7dBK4LNT1JpfzBxmjPLb/KmlXjyrybZOYjURs06qr9i5EMbr2C8VvHLWqMqSt7TWQikQlpHj+GnUhS6eAQ/aJ63ACG1D3U0/gom3JxMKu678F4WJF2sgcIx0dg5gP85ikZ+MtnOT7kL6fx4cnMtOAT4C340eE2jFy4Al+578VA27ylEKLoNkUBB1NpP3maN0cKNT6csCXjRfDCt8iry993MblZV+PDI4jcHEXjw8c+4q9fNAfQ5GZeqyAi2OvH8fG7ZwOeMFXDcbTKEjZOGtTb/U4/f8+d3TPpECRtW2zq4tp3NwIafRcJIaTdODg+ojdH6M6epNzZFcKFle1Sn+w9Jeb2IFMXvWGmr4sWiMiY4vtGm5qbBOEoZOC1iEHJUPMNI/gUCG7kZp7DwA1SmyLf8i8Qb7+W7ULYkO0CjU9SrPEZ3KcS/3vpeOk10AKFLOkqkHkRaZ6CBX8cH1GQQfrF867BYYIxtqc0tA4CzVEHo/HxPwsevCdWEEhcFNo1lzd1+ZOUsnXo8q74YiKOD1+3332dPV+l81mxZTcA4MV3G7SSbMpAd0HkEZLizDYpLgrxsH49hBwffoyLFh4gKseHFVZ4jY/qmaU4jyvAP558gk/oAIbs3kNk6hIt5sS8xDsPABKvrhDu7MIxwBHbCcoSFq757EmeyYU2dXHk5h6MqUui8UlIOD4a75bI7ETaVXmq8RB6daXS2u7sZbZmktLsdRLBh2y+yHg9tn9P4Xm02U7m1ED6ytMpepQn3TF/uEVf8PFxfIzg0z3g5upK0RN72jcAaJd10QRGz0kywmGQKajMFnN8BvWpxIxT6vC5U+sC6/XMOOJytT09UqlleS+pitws1/iw5GZVVGq+HvKRmMvoXZ3aq8uRXp8KjKmLIzd7G1iL+UtgwRLyAHgoNT6WpAw3VHizomoBp3kogRwfRT10myKNT5rbCNAan8nH1eKBuRPdSZ5pk/uuK/jocXxYbkaKE2JVmpBU2vF5ofFDjsSXIrAtC5VhUlak/cKiSuNDPhNBXaQdyyVyM52XjwY5QkxdBGUJG9WVZfjhzJEAeD4ZOTdzdmU5624t5PhYFjPWwwQwlIULyZi68qPxoTdiBGVJL45PUHZ2wPN09ASfTEvfysYR40HH65GZAMmQEkWVJnMcn2BXBf4adUzF+YTx6ioQXHf2AK8V26aEBG7nwOe2krmYBu1ukhKOD8lHI3OpTtoWSID9BLeo8/2kd4g2NRl5Gp/MAfq94wm3QHZHymVnD4KIK9TeIdD4qOL4ZP+GScQHsKYurxucxsfdhXKCj+amUmUi89zZOQ2PguMTFBGcnsiDb7+8HroNocaH4xB1UJ4w93zldNT2qhBGGOf7Lotj4zN1iRazAI0Pn3+rIpkQRkEmZasry9wI5vT5Xl95jo+l7Tru9Y+eU/zu7PTi1bM8gcaWDpfjI1pYhQEME3p9kgo+2UN9e/IaH9bJgSU3s+f6OT4CwYcby2E4PjwxmqBHWSJUAL4wHB/L8gsXSdtzZ1eaurKn8aauFLXJozFmWA1OHtRLqgmiQfie/HUnbAs9yhNoaksp+8aj1MjNRvApEETZdjtSAsHHos1CLLGNz9VVJUnuFxjgTzJpuINdg5xKPk8/ZRDuf+E9X/s+Uwu5phSr8WE4Pgl6wvIEK9bUFfyyiWz8ZIdB31+VEOURkgObYyDk+LhmM7h9yPxlz9U2dfnOE0z03Dn8xEM//7KErSRB0ItjEMfHtuQhAFjBxz92eQ8lWoAh/Rdpivj7IdsleykrFORm7rvD9YkIGSSOk8oElHYcVPdg+xto6rLCBzDkBTORiZygd2UZI/iIFi9xHB9djo/Yi4zUyWvsXBOS0HTOmob9HB9/OzIhXtfUJdT4lCU09LAeRIK3NI6PLXZnT0jc2ZO2xXioAn5TFz/PEPzlW58AAPyWm69pLP23Sdi65xAmH1+b7QvbNyL4hEWpCT7G1FUgkAdPkwpFSRhFea3oOujBzIdwp+tQocwWL3RH9a1i+iq7BsCb3M48rhaPXzUV00YOpMrxwofXp9YOecoKmqxNjqYdNhLtm7sbsSebCkMGVkDL/KXJzXQ7sp2Yy/EJNeWxz8TmJnMujI/vOdmWnlcX//CE5GZOGJK5t5PPqhHTxmh8gsnNMtDDSmjqctj3gR7/ZEESmRz4+ygjN/MEe1GUXn/kZlYLkUo7aGlPYfn6jLeWKr5NR8pxA74RxE1uztTJmboUHB8icJJ5SFfwCRO5WTQGyJG+Po6Pzfyu0vhU8hofwTzFZ2eXCQEiyDQ+tsAcFRYZQVmT40NnZ+fGB69JB0QcH1azzEP1Bk85oT/mfuJYKvAj+3vCtoRpY4JgOD7dFCKNT3s6LSY32+JBz3N8ZCTIoLQHMlfQAb0q3D6Ir8Frj27j1KF90L9XBfMb7y7tNzNkvstNXUT3zS4O2/Y14eXtHyuvTxm52bYYzZJMgxSZ4yOM44NsXUQF7b/2MPBzfPw/0seEkznHrVIJLPQkFTRfqS6Jfr4ioT3j1eV9p58NfQ1PfHsqphzvJSslP337nBMBALf8y6nC9nlnAO3IzTTHJw3cvfptPLD2fQBi7YZb1nF8ZOygOD4WwgYwdHyCmUrjQ97T/YczRmuRdix3crNIoMz8lQo+3uvuwhN8/Nq+pCQIq21brrdTpr7sO8d1/0//Ptl3bsKyQrmth4EsgKHIqyuZoOKecTnV6DFLBD+Z4CObx3WfJeDfCCRtm8n7pws/x8cIPt0CosWntT3tc4ulJ452jvjIa3xkO0M9jo94Z5NpR3KegNxMwOxEeDs7vOtv9Xl1sQuwe44rNPgn8iDQk5cXwNBrt4zT+IjACyu66CGI3MybzeQcH71Jly/FhOh36xL/TkA/4yCND42gnZpqZ81qofzl+CjJ9CaBnjhPGdIHU0/s76trwWdPwisLp+NcCTmf75teHB/Hl5h15Rt73O+qhLmptINyjqjs0/gIPKrCZGfXCWBIv1fDs/yOnQ3NADwNLA3R+x+G3CwmoGcXaY7cTN5VOm4XAa+5oPlBfGgP+rhI40OPt3NGDMT4Y/r5+x7AdcsFcnd2v0BenrDdsclvfkXeZTKvLpmW6kunH4Uxw2pw1WfE5GcVbBsYNbg69HmlZuoyHJ8CQRhLoz3lY7dn4mBkPos0PlqmrgDJpyyh9uLRMXXxghwTD8LmY2nA56lGFgy6HmnKijAhQrl6SPXkXvJxPmR1e+TmUE0zz4QW3jJ1BpCbNdvwc3z8nxnysuBh8/GTdOf7oMzf6nGlrjvNua/TAq//XvmFPcC/sNIQmRR48O34Izc7XIBMaXM+d/xMfUHkZnlgUhFE5GtfXB6qv8NrM2aKDw8cyZQVELNz0fhYloUxR/XBv009Fvc9/x51PPO3ujKJhG25C185Z+qi7zb5RJ51P0pbVJYQc3x4crXI1CUNsEnNvXFDZlIXeXUlFUlKRWOWeHW9vqsR1zy02R1zsrHZozzh8n3CIqPxCS/48F0JO6fHDaPxKRBEwkRzW4dvYaXtzD5bvcUuUDKSWZA9Whb8i0D2G70z4dvwa3zY+jxPNbnGR9Rs2vG75wZBZeqybTZ7dLvErTIoO7sMVUwcn0w7pAnePTcyuVmD40NDHFCOfZa6S23Qs1BdQ9BuOsURdem2+GuwuPGlA5+WMkKurrTjMAJUkMaHHz/k+97GFjS1dgg5PiL+kwwO17+OtD87O71WDqnpgaRtoT3lYE9ji9idPUdTl2VZuOELozBn4jD3OKnSsiwmiCFv6qKfP8/xoROYJhNiPk4ywbqzk+rY+Ujc9yDvxlyQ0fjocXzoyM2tCo4PAa1h+/OmD103c10NchjYViY+UBhzGeDnFYWdV+OG0fgUCKLFRxQAyrbgRtnld27JBEt+lZOb1X1JJvxcoTsuHKvsK6DmDtHkx0wsDVoN4XclJi82bY/nowkDmckvF40P+dhBaXxIdFkRuZzAIzfrozxpC7VNvuzsNvk9Ho2P6HFZlv8esOewi7fuhB+o8dF0ZxeBd81myM28kEh/1rxxOhofHo77XwYZjY9/nIrQ2pESCD7A3kMtmPiTVajtWe4zV9t2Zsf/8g+nIe04mPSTVcr+pdOseejWv72FkYN7M2Xo97Y8YWNITQ/saGjGBx8fkbizCwSfEORmAsa0ST2xgdWV+KgpE5aAbKbI77RGzOG8uvoxpi5xHB+/xsfPd1FptHMlMcsgTVlhi7y6bGkcH1HAQd60eCi7ruRDiLOyPKj+Pcux66DayUSFYnN8jOBTIIgGYZMgtboqcjNfh5zjox7w/CS25eYZkqjJLERu4gQ0ifOovlVIWA1eWfiDMoo0PiLNhePoubDL+unypYgLqMtjsoREUAJPWNF/QXlBlOctuEkXJRof3YmKLyVabBhys5Djwy0EmnOkjsZHds8CBR9OQ0LGCtEiyOrSXatUWkoCv1cXl5097TAaQ1nkWyATJJCf39OOg5fezbwbHzW1MdnjAe+6yPHM/ZQ2AQcsx+fN3Y14c3cjU4Z/1sP6ZQSfnQ3NjBbF7YPgmrT5Z/S4k2hzh/SpdPvoCp8WuR4PvJmKJka3dqQkHB9buEHT0RDaFnuvRg2uxoLPniQsGxYdUnKzP+Aq73nKltcRfNrdugjiloFqqvyCj23JqQH8taeKHMDQmLoKBN2dhIgPQ8C/DDJTF/9yPPntT2LmaYO9ehLsDp93EZb1lRWO2N++NO4oXPWZE/DryydgzsRhvoWJrBW+XF2SBczj+IQnNzNkX07jQ34jyfekHJ/s4TDvJx9XiXTDn52d/OU0PpqTk09TJBAY6R02v6Pk204mLKWmhkaQxkdtQlXXneKIxB2csEqDbUav774IuVpxfNjFOO3oa3yOtKd8QqDjgMlGzt9PlYAnAs/xEcEn+GTDVuz8uFnC8RHXs+6H5+Dfzz5e2RZ9uUIvTbC5/MgmTERuVmVnP9TSIexnwmbHhpjjI+47n2ds8SXjMG3UIHHhkOiQZWfntONkTPJj9ZQh1fjr/KnCvvMC/KGsqSuI65kLRAKzSoPKaz4Nx6ebQFfwoTk+ojw+NGSmLr6tUUOq8U1qwkomMru+sH2lxzX/AvbrWY7vTD8Z54wcBMti7ey0MEcmWlHkZpF5hk9ZoQO6a67Gh7izZ38kQpxM5coTknXAPw8vgCHLFyKX6V/UrNBeZJl66DbZv4CYVOzz6tLV+OREbg5axP2cGJ3zdOd3fuMgIhEHcXxSaYepR63xSblCycVnDHProwWfJi7sv18L6H3+xAm14CG7ZzRYIruNgVltUkNTmzCOj8ykPbB3JY6tVUf9pfsiEzYGU4KPZ+ryn6+6qkMt7RJvRbEJzGLKiK/PAudsEaOapEMauZnl+BDhgff0mnxcLUYf1Ue6QXni21Pdz0JhL2rHJeBzrgHh3OSL7dVlBJ8CQVfwUUUW9ml8Qpi6aHfUMtvGtdNH4IunD8Xv/nWi1vkAqzkI0hAwZjH4yc1E48Iu0PQKnvkTxZ1d1I92jlSddO+xhNwM0r5+W7wGzgtgmK2Tc621uLdPX+PDfmcnOCt7zPtdFpSNIBkjuVk1zIPMJbypi0BsurCEn9V947QpIk0Sn6sLXABDR+3dSKOlPeVO8OScTABEeQoWVYiDxV8Zh9tmj2H7p6HxoecN2waqsuTpptaUUJBV3c+gW033RaYAGNzH23Tx5GYaIld0gkMtHcJz+Da9RKdi7RMNeoMm6tO3P3MCjqmtwhVThuPfph6L2p7+xV8G2ULPB3slwjgvUCcE8yWNU4b0wWlH9WGO5VHh48u5BoSLOK5KEF0IGI5PgaC7e7AsPY0LwCbtoyEyD9O5dsoSFvpUleG/Lxqr1Q6BKPmnDD5Tl4TjQ98XmidEq75zIcK5KStS7ARIdlR8rCQConkJ837KTF28h5jl/s4tcprt8IszU43l+yDeGXNkT12hK3inJq8oiB/LBzAkEAso1O+6Gh9uF12ZTGBoTQ98eOCIVy9XVyZyM+XVlWa9umRegUBGy0gEa7LAO47HwRCBvxT62qrKkzj75AHM72lHbEKhwWt8embHaXNbhySOj+oZqm+2I9X4eJ9pjQ8fyJQxdbn1+NvJmLrEGh+2P9k6FNpquo+y8BoAsGD6yVgw/WT3+19e2SWuSACZxse22LyGRBPNb3J1zFY9y9nlXMeFPyr4QJSAmgDvM3UZjU/3gCrCK1POknsW8C91pUTCFglZZVR4/qBMw7KXn9XIqF8kZlKy/ORmsgglEzaWfHU87rp4LBP9ma49yLwCyF860uV2jltEJpa2lH/iB/yEZB34PHQ4jQ+Zyclxn6eSpSdo8bdexPEJIjfzXl36Op9wfZO1CQC/nXsGelUkcUw2tkwYU1cU4ibf/qDqSjxz7dkYUed5QYmq4uPk0P1p60jj3FMyARNnjz/Kd25zG5uiJe04OHBEIfgoOD4Zrhz7e9oJHjN8CheSIFaWaFI1PQRzjijBR7JRqmNMXRzHh8nOzm4UaBxpT4k5Plz/SG30fZVtQi3IeUkihNGoyMi8tm1hCKUBI1X6ND4ag5zPf8dMwXrdFELUtMjUVabQ+PjIzYbj0z2givdBQxVLgh/8MnKzSLqnBQMVLwFgJ6wEs0Dqa3xYUxd8pi7693NPrcO/jB3K9oFqV8fURe+a6FeK9+riNT6yDMM8L0cHvMaHXIIuxye6V5e/zaCJ3uYEWl3BPAi2ZUn1D/y4PPvkgXj1pun4lzFDAPhzdbn9i8nUxY/7QdUVKEvYXGJZ/3lsyg6/59kvvzoOr/9oBo4b0Mt3bnNrimk77Tj4uFku+Pg5Pux18jt/x/EHSeTBCj62G2uqubVDOP5jM3VJOCa0qYu/XuZ1E5i6iFZ4aE0PicbHf3/4dlSmLlE+QhlE4/LWL43GI9+cgs9x0cNl5Gbbgsu5AoB92VQiCU47qaXx4eI/ybzqwkJ0qsjUpdL48NOo0fh0E+juDmxLvMMFMi8D/fLokpsBuWAgPF9D4xN0OfxE44tOGjCr0C+qzLwytIbmCoh7RJrtkHB8ZNokl5ej7CWLKomqma9LlqtLW3PB3UsRx8dSlAdEAm1MGh/FbzIBjPRPFevE106E3Sxfz8DqjOaBXQj9tfHkZlpYaEulYVkWelYkhe94c3uGvOxpfIADzW3SPqrGhGhuEHF8bv3SaPzsgtPc77TAl7AsVzMg1fgoBqIOQd3tL8OX8T73KE/g6nNOxOWTj3GFIN4RAPBHOgeA5d+YjOmjBuHXV0wQCmi++0P6QmvOJFOPBSuUxkfU/sUTj8a4o/ti1unsRk5m6uK9ukiZMq6TCXfOkPeJF3zi8uoStSlKS6IiN/NCX6ckNy9evBjDhw9HZWUlJk2ahHXr1inLL1++HCNGjEBlZSVGjx6NJ598kvn9kUcewfTp01FbWwvLsrB582ZfHdu2bcMXv/hFDBgwANXV1bjwwguxZ88epkxDQwMuueQSVFdXo6amBvPmzcPhw4ejXGLssCxxYlBROdnEwx8Pk6uLHpRBWgxeGyD6HLTL5j06+EkkSOtE1y/T+Px+nkfMFrls0/W4SUqz3wnnQuYxpktupu+JzNQliwItSsOgMx3oaHzo2yFOWeF95gNa5gJVPbLfbGrR0yY3C84PAh0xuCJpozqrPQgym9GTdIoj27NBFv0nkyzoZLw7joOPFYIPD17j4zd1+e9ZVUWSyafEv8OuxqetQztJqc5vAOfOLtH4AMA1nz0JP6KSyZLfWXd2/7kj6qpx72UTMKKuWuLOzquQ/P1WaXzoX4LMS0ouFHeuLFcXmZ94YjBfNxfuSAg+4jfrKxL9BRedWR0g+PC3zmfqKjK5ObTg89BDD2HBggW46aabsHHjRowZMwYzZszA3r17heXXrFmDOXPmYN68edi0aRNmzZqFWbNmYcuWLW6ZpqYmTJ06FT/96U+FdTQ1NWH69OmwLAurV6/GCy+8gLa2Npx33nlIU7bTSy65BK+//jpWrlyJxx9/HM8++yy+9rWvhb3EvEHHs0vF8eHXdpmELQw5T610QbwVUeRjIEdTF9fVz1NxhUSgL0GmFuXzg4ngcnzSbBwfWWRUAo/crL5XVZSwIyc3s39JH3zPSXdu8mkFWCEzU4QWyARxfDjCa0xyj7YQQsPVhqTFO0Hh+xBBjT+Cimg8qLrS866T5P0ioCfpNJcElP4s6kdTK+H4ZJ5B2gE+bpKbuvjL95m+uEcpEhQruQji/GdX49MqJjerlLGhOD6MQBm00cn8ZSxdCq8uWV9kGh9WcyYTfCytct7vit+4e5jJzi4f27T2GvAT8XW0N35Te1xvtR/Vleo4PjKuFUGnC2B4xx134Morr8TcuXMxatQoLFmyBFVVVbj//vuF5e+66y6ce+65uPbaazFy5EjccsstGDduHO655x63zKWXXoqFCxdi2rRpwjpeeOEFbN++Hb/97W8xevRojB49Gg888ADWr1+P1atXAwDefPNNrFixAvfddx8mTZqEqVOn4u6778ayZcuwa5c++z6foF9KeqDT3kx8Ek0VZO6D4oBv3jHeJOM7X8vUFVLjQ537lUkZdbDu+bJgV6rcYXw9vMaHLESiiR/wCysy0J51QXF8+B2sj9wMPZdQda4uV/Lx+ijQDPpydVHl8xW2XwbSl5QjM3WJzvGfH4QRdZ4WhN4dM2Yzy8L1nxvBnJf2aXy8761BGp9szB4yVtOO4zN10dfCL458nSJyMy/8VJQlWPMWL/iUe+7sYnKzSuMj/SnbH5mpS32eLZB8eE6cTl/4DZAoZYXsGvjDQRwflTDCCx0Zjo+gjmyxwTWVzHGeCqBDbvZrfBiVT2SImu7fy09upucu37vAc3w6E7m5ra0NGzZsYAQU27Yxbdo0rF27VnjO2rVrfQLNjBkzpOVFaG1thWVZqKjwSGCVlZWwbRvPP/+8205NTQ0mTJjglpk2bRps28ZLL70krbexsZH5l0/Qg/eEgR4RkmH1W3rSPQBUJMOlrLjpvFH42qeOw0hKDS48nyNDep9DTGScWYy+dtFuwXc+Vb/MZThp224gxumneBFWTx3Sx9ePdknk5qCUFUFmQVrY8cfxYeviY4qIIjBfcuYxGMPF4+DB33uhqYvjVPDgOT5spOfos6RtW1qeaUxfskMsVByfAC2NCHSup4OUZxW/Pnz9rOPx3Pc+7R6jh0g6zWp56LhGqtvmJp1sT/tS1dBjiL98fi4QkXf5e8ZrfHghiGgGjrSn0JLtC92HXExdbBwf/WdEfhcFMJRtsmS5umiIXOJl82vmVFpAUvdaJYzw5wbx1676zIkAgM+PzpCiw8bxAdTk5lwguv+1vSpw4xdGYYggCjfgFxo7Ncdn//79SKVSGDSIDeM9aNAg1NfXC8+pr68PVV6EM888Ez179sR1112H5uZmNDU14bvf/S5SqRR2797ttjNw4EDmvGQyiX79+knbWrRoEfr06eP+GzZsmLBcXKBfuKP7Vbmfh/alvRwsSHi6vpdJph2Q7VTmfuJY/ODzIwP7SbdPm6h0wr6L6rAsdhLsVSEW2GjQL5tsIS1LWHj4G1Nw65dG47pzR+CVm6Zjzfc/w+Q/ck1dLrk58z3Y1CVvm752Wr3sM3W5vI7Mdzc7O6OtYD/3qkjiL/OnYnitNz587XPfRRM0fYTvF903wK/xCeJfqRDlTJrjI7L9B5KbI0zwTW1exGTRuKZDK9B94vO7MRwfFecj+9uRdr+GkdbI8UIMX6M/l5jfPJbR+NAbFtYkTC+QxLWePqZa8HnBy7aAH//LKVR/vM6E8SpSm7rE5whzdSX894cvK8/VFU7zGSY9S8ZcL/LqyhQ887harPn+Z/CLi08HIDB1uZsleX94wScmhY/05HlTj8W8Tx7nfqepFz5Tl/HqCo8BAwZg+fLl+Otf/4pevXqhT58+OHDgAMaNGwc7Bz/c66+/HgcPHnT/7dy5M8Ze+0G/SD3KE/i/eZOw+CvjcBQt+HCRPPtWlWH2+KNwwfijmMkYACoE3A0gGs9C1s+EZMIIZeoC66IfZGoDxC/4j84/xQ2+BmRigAyqrsTFE49GZVkCfXqUYQhnK+dTVpAFwYvjI34BVRqfwdXeLqeHwtTl0/gIVPeysPKqacFHDRIIAXS9IlMXPa9mcnVRv+Ui+ChOlQmwnqlLTCYPIjeHGe4/Oj+zSC/64mjh+S5HijrGm7pkIRBUApgqjxH9fPjL1+HU8OaxyjKbcYdmNi+2hYqk7Y5NQrSmNyOqx88L7Vv/83O4bPJwrz9pWVk9nQ97LQ71ix+ifqr4O6rzMmXCjSvV7/yYlWl86HJDanq4cY385Oas4KOYd3tKIscH9TUX0N2kxzj/HC6cwCoVwoQJyQdCRW7u378/EomEz5tqz549qKurE55TV1cXqrwM06dPx7Zt27B//34kk0nU1NSgrq4Oxx13nNsOT7Du6OhAQ0ODtK2KigrGfJZv0Dvp8oSNqSf2BwC8vN3LZM5zfI6p7YmfU2Hq6fEii5uQq4qTCTwm4QqEsX/bPo1PNMHnc6PrsG57A554NaPl09FMeByfNPM9SOND4O0YvUV5cE0PNzMxrU3hTUoexwfMX8unTneY8kFQcXy8tr3PorAHPO+DbjsXjU9u5GZvES9P2MKYTwThFlUPl08Zji+NG4relLlVGA6AqpLW+DiKFCrsImAxXCCVMEnvlHkTQDCnxi9QViZZjg+fW8yyMjyfQ60d+LgpI/jQ2gLdyM22ZfkEOnpBC2UaV2h8VBoaHj6Oj8AlXmrq4r4HzaOqcce/yx8dbpV40InPjxS52efOHniKFlQt0/eAEXy4/p5+dA3WXv8Z3PL4G3jytfrOxfEpLy/H+PHjsWrVKvdYOp3GqlWrMHnyZOE5kydPZsoDwMqVK6Xlg9C/f3/U1NRg9erV2Lt3L84//3y3nQMHDmDDhg1u2dWrVyOdTmPSpEmR2oobskHC79jpCePY/vKkgLIIzDlrfKjzZZNXYK4ubrdB18O/oCIIPTY4rpBqF023DXgBDF1TF9H4BAQwJBMnfa/raI1PmUrjQwQfdlcu4uQAnMZHMS8oNT6CukSCj8+rizpBFhpAB1FGHulKKu0FMOxZoeaciDzZdNFbxTEjGh/qShiNT1ol+Hjn8PdcJUzSMaj45x6Y30zA8akos30CCgE5Tt7BBoHgo8vxES3GMo5PcNwuovGh6xL4szPn+I+J4hwBmmR4y+I0Q+p7r/qZvzW7DrZg8TPv+MtJxgVv6vLi+MjbVJGbc3JnV10n1f8yhbOJZWUCV1ZmeanF5viEztW1YMECXH755ZgwYQImTpyIO++8E01NTZg7dy4A4LLLLsPQoUOxaNEiAMDVV1+Ns846C7fffjtmzpyJZcuWYf369bj33nvdOhsaGrBjxw7X+2rr1q0AMlocoq35zW9+g5EjR2LAgAFYu3Ytrr76alxzzTU4+eRM7pSRI0fi3HPPxZVXXoklS5agvb0d8+fPx8UXX4whQ4bkcIviAz0YyiUMeNtic64co+B6yJCrpC/V8oRYbJjcOGBjGPGh1UUQVZ+Jas1+D4JP45M9xw1gGJCygryfSdsC8cWhQ+73oJ6VP4ChVxc9oUsnV825iS8mei6sF1+wVxfdv5w4PpblIzISyI6TZ9LcnsKexkzk2p4VSTfCsVDjQ5+fm5wvNDfSdaY4wUc2adPnVJUn0dji8YhUaWJoAZ6/R8G5sfzmwcpkgnk/6TrJAlqVfQdJH2kzidpbyfssKibL1UVHJxbWKzjf4X7joRe52V9Wauri6w+497oCwczTBuOJV3fj5fc+9peTVOInN4v7SEOWJDlXqIQm+hdaWONvnWuCz/5QbI5PaMHnoosuwr59+7Bw4ULU19dj7NixWLFihUtg3rFjB8O7mTJlCpYuXYobbrgBP/jBD3DiiSfi0UcfxamnesGrHnvsMVdwAoCLL74YAHDTTTfh5ptvBpARhq6//no0NDRg+PDh+OEPf4hrrrmG6duDDz6I+fPn45xzzoFt2/jyl7+MX/ziF2EvMW+gByIr+LBlrvjEcCzf8AEA4MSBXuwRXeTqjsxofCQTRtgAhvS8r2Pqkk1qYaORkuK8O3uQqYvn+NATEZ1ksUrp1UVpfAR94j9r78q4e8PW4S8iSmbLe3XRExG/2wyDKHMt6cuz/9znHqPHiJjcTB/LbbyLxjVdPxPHx2GDXhIvHP6cqoowGh8quCg3HINNXWKNDy+sERDuD5/QkjF1KR6ijPNH98ctS3We3iyIQKoSk5vF/RFt8GRzn06uLtsKN5JU7yvdjQFZbqaIuC/Py8i/48E946kPMs1yvsBaMTiNT/YveQ+KHccnUnb2+fPnY/78+cLfnnnmGd+x2bNnY/bs2dL6rrjiClxxxRXKNm+99VbceuutyjL9+vXD0qVLlWWKCXpBKU+IJ5CEbeGUIX3w1/lT8ezb+xg3bV3ESm6WfA5qwZdjiPpNx9QlU2OH5S+RfhxqZVMHkJdU6tVF/mY/0C81nWtIRW4mXeUXJz/Hh3ym25fviPg7IMpbpTK7AH6tHr04FsuriwatpRLJYXFqfIKSvNKmrtaOlCv4/PTLo3HeGE+bzBL42Xuu5PjQgk9AHB8evDYRyIS5oONT0UKtq/Hh+kdH4lUGMJQ4PhDQG3n6kul3RlivwNQVj8aHhJDwjskEKT6AYRDUpi7vR2ICEmkKZXXwZnz3uhSN8gFtY9P4KKqhNXTligCG5J4nXMEnlq5FRiTBxyAa6MFAx+AR8RVGH9UHowPiuciQ64Bnicn+RTVzXF0HLyTRdeqRm/0NqKJa69Zjcy+gzKvLc2d3mPIAUNeHyiJPVe+LnAqi8eFMXbQZMMKujC8nMtWo+gWwGrikbaHdon+LPn6ijD2RRieIbMvetzg1Pv466Z06re353OjBjHmTN3XRUAmTyjx6Ghof3qsrYbPvSUpAsuY3HwN60SEgVJoM/1zF90dUln5nhHA1PiyRHJALYsJcXdwxUptWygqE04yoisq0+zyk6Yl8pq7gjvHCksxjNCx0z1WZusj3UtH4dAp39q4CeoKvkriPxiGl57oDZswgksEcxtTFq5B1ND58e0A0UxdPrfA0PlnBJ5DcjGx5r6IBvTy1PX2+P45P5i8fZI7RVjACoveZD11Aw+/VRf1GFm7q9+DIzTbzPHVI49K+RRh7ouZ6BZBtdTgb+hA/A9KEbHfqNy3oa3zoNCLHD/AcGIIiN/MQcXwAlkzMaHxsscanP8XBUQfmoz4LbrzDaHxowUet8SEl6fXQ4zaL+yN67nxWcxG5WTa8Q49dTQFR9T7Jni+fdNmN46PoDn9OIcxb9NCjxxw/NsgzJI4Txeb4GMGngEhIJkad3YgMU46v9beTK8dHErQwzGLDC0ktlICgQ24m5zH9sqKbutw6XHKzXsqKtGDXSQuttIcPz6XxOD7yPsl20HdeNBZnHtcP351+kq9vKo0PmRqZbNgB7ux8ktJchG8L4SM3i9oLpfGJkeMj4kulJZM0v6CptGw8b4oWbEcfVeN+5psKGu+yxK6MqU4QVJBPMllLRbXW1fiITV1eW3R07EByMzF1UcdEruiyvhDINGsic7CvDKxQY0lVkm5CpfGRbeR4z0qdyM1S8xhy04qqzmXCq9ABDAVeXZnjmb/F9uoygk8BwQQwLBOryIM8svjh8vt5k/DQ185kjuWq+meIgBKOT5AClHeDP0KF6ZfFH+LBazJsWy/DPVuHWPAhfwNTVmR/ps0FtCDRt6pceJzuv4/jI1toqc/H1PbEsq9NxlknsdHI+XP48zxTjXdMlLKC55XFlbLCijCjiBawXppxZYDcd7YCuZHpl4yUqiKg0u93pjx7Y+j0GadRJm1e4xN0bWlJfjP6HaZ312ShpQWRXhVJNs+S4hnKFtNpIzNcxH+deqx7bO+hVvdzkBaR1MR4dQWsjaJhwY8lPk2MqIzbBws4qU7fmUT1bBgPXqXGR3ycF+B0NiPFMHXR81qZhLcK0IJPaWh8DMengGBj2Yg5PmF32wnbYibRXIipbn+oz3R1SU6YUYHP1dVCheoPF6iP9cYKa+rimyL1BJm6XI5P9ns79aJWliVw95zT8ew/9+GiM4bhf599F+UJW6AByGp8uKitIg2N/7O4/3S9ovos7i8Q7M6eCWpH/RbhHgeEXAEgX8hEgo1MI+q1qT8WgyCLd0IOizQ+osWMEXzK2d/LuGukx93xA7y8fTzlLDhyc3AUXFH/B1GxqGqqyqQhLHjIhPZ7Lx2PhuY2RpPFm15UEF1nUABD0TziT1Lq76vK1DW0pgcev2oq+vQIzieoujpdU5fsXvvi+BCNj6JNIowTbUqIfaoainPpoUcL9/7NWeaAx/Exgk+3AcPxESxGQDQzAz0B9KrM/ZHKNT7ygc2DNxmIchQF94Oqj2hqcjR1uXF8iFeXRONDdp7kbwdVLmFbOG/MEJw3Zggcx8G/jB2CYX398ZZoTxXZ4iQzs4SByFwWmLKCNnXZllTYlYF2ga9MJtznG4ncLDhnMJV6ZObowb7f2f7mJvnIzI2Z90CcP0y0qLObBLnZAQC+ePpQ/PIf2zB91CDmNx/HR0MDHKQZ6RAQSWmNT9+q8kA3dQKZBti2LR8vbd7UY/HGrkbMOn2ouoPw7rsogGEYU5fPq0tQVk5uzhw/daieU4naJOh9Vgk+sk2gLI7PyXW9sXHHAWl9ZQlP8MlV809w3IBeeGWnvE0CNscjvzljjxvBpxuBHhg9JPmqoix+9CDTyXweBFsygBmNT8jIzUfachN8SH39A7gCPIK8C4Lc2cnkKytnWRbuyiYWlLXtj+MjnoTF2p3gY6yQafnKiDk+1OeELbzXKiQowadHuSf4RJlrRWP+9GE1+P28iRjWtwrDBdHLwwTTDIQl/Oh+Fk3S5Ul1iABeMOIDGA7v3xPrfzjNd9yXnT3g4kTZ2XmI+j+wt6fx6duzXJtnWEWZ8IJue01VOX59xRkBpdi6wmRnF40bURLXzHF5Ge+4Tk/1ytNtRPPqEputvv+5kahIJqTCZJltowUkPQ/VH3lXA3HPnNNx64q3cCWVkJSAmdds+Rgiz5DMu8bU1Y1AP2o6Uqps8OiCfnl6x6Lxofoj0f6EMnWBJTfrgjfHAMAVU4bj1Q8O4LOj9OIb8S9gc1YA005ZkX047RFyy7gaHwCONHkjdVxk6tI4JjL7sB5G/jHhM3XRsYU0xiA9FiqpiT0K0Vik7rctC588cYD0HNkYjQJ5yIbMZ5FgUS7U+FD3lBNo+B1874qkMJqzLzt7oKnLEXp10Rg9tAZPvbkXvSne1KBqbwNRXZlkNEuqxz+4xhOYPmpqkxcMC6LxoY8JhBYaes/dz/GRWeBCCz6aAQxVJj9djg95R/r0KMPN2US7IiQUaSOiYli/Kiz+yjjhb7JI3TKOz0UTh+GckYMYekYxYASfAoJeZEWEUyCiqYCatOLQ+MiIrkmFRO/rE/MSAFdMOQZ/fWWXS4LU6wdVX7btyrIE/ueS8fp1cP0kuYmIDV2WaZv36pKZxNRte3Us37DTPS5baKNqfNjdbOYvvaPSS1Lq/aYzXzKCTxnNVws+l4dI0Aoy8Yg0M1HB1CW4l6KQI6JdvMq8wS9CMpO0X+MjLOYinWYXH1qgIajukcSmGz/LzDm1lFnKcdjNk2rBpK9L9u5EgWcWpjU+WZON5BydsSbS+MgE+9Bzr6K4NrlZl+Oj2TeWhyn+HCdk3EWZV9fA3pWMtrFYMIJPAUFPFMzLIElgqQvG1NUjhkdK9YGZEOmXMaCfvHZo/DH98PIPpzFus0FQvUi64CMgf9ycFXwCvbrI+dFB+t/SnsZ/PvGme5wV6CA87h4TCT6SdjK/kTY902JluZqISzJ2E+jca3qC5YWAsO7sokk9aBHSMV3oQmYSUHl1iXgbDKGVu4f8QiaLZaUTufnCCUfhj+s/cMuTM6aNHIRFXxotqDNjzqJBP+PWjrTPGUEFPsVJHCAtMu7srtASLKh86qQB+P65I3xlRBwfVeTmMFCVzjWOT5Ts7Hx9MSl8lKDnVxVfMdeQE3HDuLMXEDqeTTo2fdU5yszTmqB7EIfGhwz6Ab0rQpny4jBntLazgk1za9bUFUBuJlNm2EWchsptVlRGFq1adX6mDP1j5g891oI8kBI+cnPwvabHxVCKiKya5GW3MihAoRhqTVkYyLRu5KPQq0ug8aHP9Zu62O+9JYKPjsbnZxeMwW+y3BmaOH/uqXUYIODAieYMGu2pdKj3a2hfdTDCKFBlZ9cxdU05vhajhlT7yohSVsi0J2GHke4tK1NxfCQ/yUxdQZDN0XlS+LAaH47sTqMQQlgYGI1PAaGjGs7VKyYWU5dk908T7oJ6yeyiIw56th/R6qAFgJqqMizIBgQkdvf2DvGiQNa6IOKoCrKXXRa+QEe7kznGq5H9pVoogU8Y2p8RaO3QQibrup3Auh+eA9sKn1IEEJu1wngN5srxYU/3P49IGh+JOzKBTOPDayhlG6SKbORnBx7HR3YXZOTaT57YH8+9vR9fPfMYnDCwl7CMCENreuD9j5q1y+uAXGa47Oziz+L6gzUhcXJ86CGj5viIf+MjUOuO8YQilk4+oOO0AeTP1BYVRvApIGREWhq5mrpicWen+yPz6groZxxRQ1Xuwbqg3eg33fhZty9eri49cnMU6Fw3q2EI1u6IjolMNaMG+3e/NBivLjtcAEPb8mutcrHbRzN10RrF3CCK3UO3IfKKolNOEIjI+N5vmX9pJ9OGLJyFP8q3uM90VHBZTqvvnXsynnlrH2aPHyas41eXTcD7HzXjpEG9YFkW1v3gHCaHoAxDavKg8cn+DWPq0ol/FsadPaygoFtcHcBQXElZQDgEGdi0Ed7xfIkdLMdH/BkIH4Yk3zCCTwHRIollI5OadUEPql6a6SBUoLsgIz2GM3VF7QetOo1Wh8y8SCaWVtkz4TQ+VeUJ1yNMFzpzVbA6Opz2hVzj0bVVePLbn5R6TygDGAZqW6JFej5KYiIRmT8DozVz/ckFMo4PqVak9RtaI4rb5H3mTV22ZcG2LKQdB70qktLFnG9Ldh/IUToqOH8fvnn2Cfjm2ScIzwcypPSTqUjFA6v1hNfLJw/Hwxs+wBnD+2qV14HI1BVG4yODKIChzNwedhSphh2tuVOmrJBpfHhTl67GR2rqyo/gQV8nm5iabS+ODXmcKK3edHFombpyNBWIXJfDQserK6iX7EQTrR86dvkgHGkX33NCNpW5qfMan9tmj8FfX9mFeVRI/iDomYy8z6LSYo2PXA1O/yLiPIjOSSTCcXwyi7i6jzzmf/oEfHncUYF90a3TCtm+CkHu7ETj06siicOtHQCAo/v5BR820avF/Ubqc5h0HDx04/iQecJxgjUjcWP0UX3w/HWfVibSDQvX1EVvAwOys6vixnhV+IXCQpu6VNpqXY6P7hyqG4gyLtDXyYw/XuNTYiQfI/h0AdCDKu44PvRwDWO+Ukn/IXrifooiEAJyjU6QqYvMv2TiPKpvD/zyq/pu9EB4row+x4f7HkEI8EVutsS/iWDbemYGgn8/+3h8d8bJWn0hCDIxxin4yMa7q1XJDpGeFQlP8Kn1a69Uplnb8u6xSvDRjeND2qI1PoVcWo4SRCrPBfy9BkBxl9T3gP9Mw9UaaY3vcHdQrfHxoOL4SJ+vbbmmUQDoqbmhZTU+VDtaZ+cGWXu6uRkLCSP4dAHQC4/uC6KCJflCu+QGLTase2y0frALSVSNj1jwCUqa6CYpdVXl4dvXSdgZFGtDfIz9HsWs6PPqCiHI+NKAKIrfe+l4nH2yP9Fq0PkyszBBnDFKpF5dROOTHQsZQnIm8aZI48Pw4QTkZnLfVGp/vzu7us90AMNC7PDzBdEzdLU/AfcAUGyMBPcmrsjNKgzJBnpM2JYwZQyBSpNN87369dILA8LO0fkfD+OO7ut+lm3i4tiMx43S61E3RC4EWoAdcFUxcHzYEP70AhnGqyv3F5An0EaBbAENEqQc96/apVaFOExdom7yhxgSYwQugM+rK5DcbHGRfuXlp59SF9gX0flBBFr6jFy16JZkvJPjxNRF71yHiQQfqh5+l5sxdWU+x2LqojgxIpftzgbSd1F2dtll6Qj8LrlZIzJ12PunGvcVyQS2/GgGEpblxg4T1qGpDJGFP+Ahm9fyJQNNPr4Wv517Bo4f0Auv72r02qOeSLVGwtdCo/R0UAZKiGQkxqtL8wVRgUlfING6BC3qCY1JKQhxBDBsCeD4yMBrfKKY68KTmwXaHUG7/hgZ4e+10qsroBLL4gWE3GZV+tn26VGG9TdMk7p7i9rMNTiajK9Em5MA4OCRdve3AQJ+C90nIbk5W2E4wUfd50wcH3/7nQ3kGYYLYEidH0JLKY/jE+7+Bd3uXhVJ9ChPBGS712tTt1xU79dccPbJAzGsX5X0PSpFjY8RfLoA6AF3rCChY1gcP8CrQ2YbL4ypKwbBp0Om8VEPfTLpylyFdaAzkQaRhHV4P8yt0bxNaq+uAKHWxwnSa1NVH0HfqjIt0mysGh/JTSPHicbnU9ncYUf3qwoMNskL1sSrC5DH8AGAWs6kERToNO04XULjQy5TlKQ0yKWf/0yD3Bsd02h4crMeVHOXbkJgXcjnqfwPDmPqMhBiWL8e2NlwBJOPq421XsuysO6H56A95cQSuXlgdSX+dvUn0asiiXtWv+Mel+WBESHOAHNAdMGnrroSuw+2+I4HaXxaO9L48MARyh02fPs6p0SKR+OrOLz2Qxm5WcPUZXHfaQRFCvbX533Wfc4iLk5UBGl8iOBzTP8qPPe9TytCBHif+TgsJI4PINb4/O5fJ2Lx0+/4Uk4E3Q6a49OZNT4EjDu7S9oOFlSCyM06ROjQgo+uWVlRTmdeqQ4hOMg2dIUYGjKHljiC6sYNI/gUEEv/7Uw89PJOXPGJ4cxxPlprFMSd+G1kNgCejPsR9CKxL0E00O9wVHf2+684Az958k18dzrrVRREbgaAT9y62v0cpfXQHJ8YND66t4l+PmUJPnKz+tzMIh6829YFq33SUx/Jgg5GgcxsRhOIgUw/Rdwe0bn+JI2exke0A/7USQPwqZP82eiDOD7pLsLxIZcpNnWJz9HT+GTr0Ig7FdrUpVlOtZHQGe59QnBkguI+5ROWZB4yGp9ujmH9qpRuvaUIegCHieMTlHVcq+0Y3NlHDq7G7+dN8h0Pq0GKspsOzfERRm4WHVPVodk3m10IwgQktDIkH2l/woLPFB8WcaasEH0mGp8wrZQn2dK25T3LIP4Se55E8MkumE4X8eqiydoEQdnZmeuVanz8QqFODj0dRNlk8NDS+IQQfKJ6v8YB2bXEYYWIG4bjY6CELG9XKHJzxAk5jgCGMoSNLRGleS2NT4AWTVQDLyBFSUZI308djo/FPQu6RKwanyBmtQC5jgzZ/fN4J/5yQeA1VwnbC/oYxgEhSNtBJyntxHIP1Xe/V5fsAesIMyKCtOw+zRo7NLijDPRuuGruUrm6E4QxFcmErDDCdlTIHDVK0dRlBB8DJejXiJ7MgwiotFwRdT6WCV1x4JjaqnCkwTxxfIIERJ2oxuzGV6+fNu/VFWA2oOND+U1dWk0q+lJkjQ/z2X8fXI1PiGZU5OYwqn+5qSvzN0NuVpftDCD3nY5dI0vF4Z6jGIM/Ov8UAMDdc073/S4aY09++5M4Z6Q63pS/fb1yKnOWLGcbjTCmLn7c/fKScThuQE8s/so47TqiQpYbzJi6DIQIxQXNnQ4UChY3Ydw953SseL0eV37q2IDzctf48G3Hid6VZRg9tA827zygVT5K85aV0aSoni8TcExYh+AY37cIHnR8Djb6NNG97lHuRS0m1yVqHwg/RHntkw4YXlyMgpfIeuIJPvoN8Rwyy/LGUJggo8EBDLuWxid6dna21OVThuPiicPcpKtBfCBVehdpnzXLqTQ+OoJPdY/ogvLnRg/G50YP1j4/F8g0pyaOj4EQBZZlQoFeEpO2hfPGDMHir4wLzAkWRxyfoMU4V0w5Xt+7LmqsGB3XcLcNXVMXdzDKreEXggNUjJpTBIsAPUFnKD7qhSRUX6hZKEocktzd2cWfaZdx/jdhPVQBf3Z2T6sWJmHjMbXi8BSk9q6i8XHjEtEHA+P4qN8dOtM8G+QzYic5xMHxUc2jM0/LCCxh8gOWEsfnS+OGYnhtFT4/OjiIaaFhND4GSkRxNebLRk9SGt/iKsKU4/vjf57ZplU2avO2BaiSL7ACop7kEwfHhz/nGMpb6UvjjsK1D7/KlO9BcREch/P2y1XjkqNJM96UFX6VD9H4hOkar/GxLQunH12DQy3tOGlQb8lZfnzjrOPxcXMbpo9iF4+uxvEhN1uYnV1yXWGiwzNm85hulO5mKOPRx5rxCFQan7svPh2LvjQ6JMeneLoMnt5wx4Vj4ThOSYZZMIKPgRJsNFr9ARyFd6KqIx957s44tq922aheZZn7l5nxvnn28Thn5CDm92CNT7AwxJ4X3lRkIbO7bGrrwIxT6oTCBz1Bt3akUR2jUJqIILjRyFnjY4k/+zQ+OZi6bCvDN2ntSGsRWgl6lCfw43851Xec7lsQF6YzQGjqCnDTDyN8M5uomLQidPvnnlKHb376eGnZhG0hnfJLPhVJ+cRm21ZoYnAxNT6iDUQpCj2AEXxKAmE4PkNqeuDd/U3564wCYV4qZvGMrC2hzWzxSz60KjwIUV9f+jZccuYxGMrloIqF4xNBcCinJtzK8gQqyxK4bPJwaXn6XrV2pFjzUM6mLv2dO4HDUHxybF8yVMnnKBoffpNAriuM0KOCJygEc2E6A0jf6efqaUgkpq4QXqY6AQzDgm5zyaXjNcr6J/q4BYNEBK/IuBAlrEaxYDg+nQw/u+A0TBs5CEuv9MemyQdYrYv+cEnEoBHQyr6cI278wiitctGTpHq5wmoEJL+gnahYGJKbunRRVZ7E7bPH4OcXnKa1q6QF2baOtDLpY9iku7kuSrmuHTKTCe/VFaahfO+8yVhhOD6dOIKha7qjjgUlCA4zbvJiNg9RTT44isJ2iqhhiRJItVgwGp9OhiE1PXDf5RMK1h6f00kXkVIx8HVQn/O1kfnXTwzHKUOqcfG9L6r7EkP7olgaQfdUnLhU/j2M0PHl8Udpl6W70ZZKswEPczV1RYjyTV9mrs9GpOWh6/Xi+OjXyScpjRsuGdih3b7z2mReITZ1ZX+TnBOO4yM+LxeEqaVQAkmhBCwR2Pta2oPRaHwMlGCEj4imrsjEYFqrkKcX2rIsnKmROy3XeatMIrnRWjRRG6LL9nt1MaJPhN4Fg15YfOTmHJ9NmAUs6PwokAW3I8e9yM2lo/Hx4t44kThIpYYo2dkFPHQp8qHxCXO/C2WCKhWvrlIfikbjUwKII1dXvqBy0VUhwZhCIpq6YtQq5IpcJ0tZLjXWE0Kk3Qlu16LqCGtm0gX/6ONISeLVTS9K4c/PdWTIiPjkU0pTo0Lzd/K98+5yAQyp61m+fice3vABPm5uAyC/72EEZtaknFtf3TZDlC2YxqeYHJ8YgtYWCkbwMVAiavTkOExddHNRUhnEiVxbH9BbHOk6SOMjdOpSaHzyJ/iwjVqK38KC1Q7q1UWbROJMmcFqsjJ/05qRm08Y2AuXnnkManuV532howMYBpmEOhMcB75QCjLhPwyZNi+mrhDVFIp/VUyNT67emYWEMXWVAKaPyrg41/YsL3JP/EhRwSfCeFYl2G10NOSDkBgRuWt8xIJPUOJXnWbpuS4u7eHz130a548ZImyD71fucXyoeiOcHyfHhz2eNXWFMCXdMutU/Me0k/K+0NHVe15nJb7aKEDul2j06pCbA+vPh+AToqxIEM6HVvDUIX1ir1MX7Ga3tMei0fiUAMYf0w//7z8+hSE1YnNIMZGmdtZh1KhhEprKEDV4Yj6Q62Q5qFpm6lLfJ51W86HxOapvFc4ZORCPvbIr0w+FJ1mcHBvdulhyc44aHwkfjSYQA6WlUaHvkyeYFas3ucPteojxG+a5s5pr/Tbial+YBiam0AY0zj21Dou+NBqjhxZeAOpMXl2RhsDixYsxfPhwVFZWYtKkSVi3bp2y/PLlyzFixAhUVlZi9OjRePLJJ5nfH3nkEUyfPh21tbWwLAubN2/21VFfX49LL70UdXV16NmzJ8aNG4c//elPTJnhw4dn8wh5/2699dYol1hwnFzXG71LMIttmtH4hJloqM8R247TnBKEL2TDw1965jHBnYkAmcYnMIChxnXTReK0dKnMlapnk4vWqRgTpojQLOpMKWlUGMGnC2h8XK8uYawb8Tl2iHGfK4FehDC1iJTlPTTydIWFZVmYM/FonFoEwScOh5ZCIbTg89BDD2HBggW46aabsHHjRowZMwYzZszA3r17heXXrFmDOXPmYN68edi0aRNmzZqFWbNmYcuWLW6ZpqYmTJ06FT/96U+l7V522WXYunUrHnvsMbz22mv40pe+hAsvvBCbNm1iyv34xz/G7t273X9XXXVV2Es0oJCiNT6Rvbqiany88/Jtu75t9hj8ft5E3PCFkZK+5Fb/Gcf2Ex4PdGfXqDtfHB9euKE90+I0dTFtFkPwERCaAbV5r+gQmLpKqn8hIcrOTiDPUK9/wfkwdYWK4yNoMx8an2KC5VyV9mAMLfjccccduPLKKzF37lyMGjUKS5YsQVVVFe6//35h+bvuugvnnnsurr32WowcORK33HILxo0bh3vuucctc+mll2LhwoWYNm2atN01a9bgqquuwsSJE3HcccfhhhtuQE1NDTZs2MCU6927N+rq6tx/PXuKk/wZ6CHlxd8LRdhkAxhGazvXHE5hUFmWwCdPHCCN5hx1svzLtz6Buy4eK3WZDxIQddplBJ8YdT480becshEwSUpjfDbFmDBlKnq+J6WkUelyHB/XrBhG4xNG8KHmktg0PqVn6iommNta4kMxlODT1taGDRs2MAKKbduYNm0a1q5dKzxn7dq1PoFmxowZ0vIyTJkyBQ899BAaGhqQTqexbNkytLS04Oyzz2bK3XrrraitrcXpp5+On//85+jo6JDW2draisbGRuafAQvGeyaqV1cMtq5iR6WNeg1jhtXgX8YOlf4eFLxPaP7yJSmN1rcgMJoQy2LSXEjNQ7m2qVtVnJotRtiR841KSa6g+9aRTmePFas3McA1dYl+El9YmOehsGBGRph6hIJPHkxdxURnErxDkZv379+PVCqFQYPYRIuDBg3CW2+9JTynvr5eWL6+vj5UR//4xz/ioosuQm1tLZLJJKqqqvDnP/8ZJ5xwglvm29/+NsaNG4d+/fphzZo1uP7667F7927ccccdwjoXLVqEH/3oR6H60d2QEumeNcC+6FFNXVR9ndyrS4Y47OKM4JEngcBWCD78nP7JEwfg4Q0fSF34VSjG5ClzZ+e7UkoBAuk+Z+WekupfWLgBDAXjN26NT2xJSkOUFfW1q2l8okRgLxY6jVfXjTfeiAMHDuCpp55C//798eijj+LCCy/Ec889h9GjRwMAFixY4JY/7bTTUF5ejq9//etYtGgRKir8k/D111/PnNPY2Ihhw4bl/2I6EVIRSSNxmLryZU4pJdAcH6FXV8jLTsdI8uFFV0bwUWhGbj7/FIwcXI1zT60L32aRHzNzzbzGp7BdUYLuWlfQ+Kieu+wnhtwcMO7zYuoyGh8G+dIC5wOhBJ/+/fsjkUhgz549zPE9e/agrk48ydXV1YUqL8K2bdtwzz33YMuWLTjllFMAAGPGjMFzzz2HxYsXY8mSJcLzJk2ahI6ODmzfvh0nn3yy7/eKigqhQGTgIR1R4xPHS0B7QhQzMBeQP02EzJXaPRZyuY3Xq8v7bFtshnb62fALSa+KJOZNPTZSm8XW+NC3m08zUkqqfEbjE5DaoTNA1XPZdUUnN2ufFlBnbhyf+Z85QVCy86LLZmcvLy/H+PHjsWrVKvdYOp3GqlWrMHnyZOE5kydPZsoDwMqVK6XlRWhubs50lvMJTCQSSKfTolMAAJs3b4Zt2xg4cKB2WwYsIso9sag9mZQVRRd88lNvHAEMacQbuZnV6sjIzXGut/oUn/gulA2g6H2Zcnx/plwpyRWi8diZNT4qIUL2UziOjyX8nAvCVENf34xTBuHVm6dj3NF9Y+lHqYDeAJVuEqYMQpu6FixYgMsvvxwTJkzAxIkTceedd6KpqQlz584FkHE7Hzp0KBYtWgQAuPrqq3HWWWfh9ttvx8yZM7Fs2TKsX78e9957r1tnQ0MDduzYgV27MsHStm7dCgCuZ9aIESNwwgkn4Otf/zpuu+021NbW4tFHH8XKlSvx+OOPA8iQqF966SV8+tOfRu/evbF27Vpcc801+OpXv4q+fbvWACskIpu6YuGueJ+LvdvO1246wSS4EZi6QtaXL42PZVkYVF2BN3b7f4v12RThMcuI+F8edxRu//vWSNnZ842oHoCliiimrnABDL3PcW2iRg+twR+wU6ssuxG0UF2CMdtyBRtWo7RFn9CCz0UXXYR9+/Zh4cKFqK+vx9ixY7FixQqXwLxjxw5GMzNlyhQsXboUN9xwA37wgx/gxBNPxKOPPopTTz3VLfPYY4+5ghMAXHzxxQCAm266CTfffDPKysrw5JNP4vvf/z7OO+88HD58GCeccAIeeOABfP7znweQMVstW7YMN998M1pbW3HsscfimmuuYTg8BuERh6krcpJSxp09UhWxIV+LHm1NETUR9t7FOeHQLdsW8F9fHI2rl23Cv37iWPzhZW/CjyvpY6YdvevNV2h+uvW6PpU4fkAvvL33sODX4kI0Hjux3KM06cax6aBfi7je5YvOGIaOdBoTJTG6aHSm4H5RUYhkyXEhErl5/vz5mD9/vvC3Z555xnds9uzZmD17trS+K664AldccYWyzRNPPNEXqZnGuHHj8OKLLyrrMAiPyF5dMbzdbMqK4ko+edP4JMSeUqpjKuQtcrMFDKnpgeXfmAIAWEYLPnG6s2uWG1hdiee+92n0rszdP0PFR6so856P0fjkEYqu69z34HHvlYjrXU7YFi6bPFyvbBzhPUoc+Yonlg90Gq8ug+IgqpdQHNGEWU+MaHWUOoK9uoon+bAaH7YfRY/jA2BYv6rY2nXb577ThO5SIw/bFsvBK7HuhYJKuIk7qGUx+IK8qasrIhHDnF8omOzsBkpEJTfT3kpRpX96eig2uTlfYHaCmueoFrh8RW5WJSmNM8ZSMbQWdIt88xWMC39pYXCfHsz3zqzxUQmVcVxWPkxdYWCzDPouCfo5xRlWIx8wgo+BElEHMC2oRH0HmKzdXVXwidn2H2uuLoanxf0G+W+5tVlkEju3KtGxi4psbfVh5ODezPdOLPcoZYGOqLsvCYohIAZx+boC8pUzMB8osVfZoNQQleNjxyD911R5ng/FjtycLyTpxJ8xTInxJimVC2WlYOrKS6NKjU9pjcERddXM986t8WG/0/NHv6ryWNsqiuATQ9LmUgez2S1iP3RgOD4GSsTC8YnY9pAaT5XfZU1dpawCV3jmtXZ48bP69YxvYSr2LeCHGcvxKXBnAjCC1/gUqR9xgBcqyxI2Vn/3bDS1dqBPVbDrd9A0Rf9cFFNXJwruFxVsJO3i9UMHRvAxUEIRH1KJOExdQ2sqhfUVCuVJG20dEW+AJqJwfFSIleNDfeYFn+fe3u9+nnBM39jaLD7HR27qKrWdelfW+CRtC0NreogLCxAmLxx/nwoxtTCa3c77mJSwGFNXaUs+xtRloETUAIbs5BKtjqE1ntdOMQSfQiQRTAR4dYVFnPONLHknAEwbmYmGfv6YIbHyr6p7FH4vprB0MaauUlM6DqxmF/suJfhoBu7630vH4/rPjcD4AOF7cB9vE0XG6+/nTcSx/Xti2df0swhERXfQ+NAodXKz0fgYKBE1gCHL8YnW9hBK41OMSZ1e9PKFuHeC+cvVxXbullmnYvqo/fjSuKGxtPXTL4/GY6/swjfOOj6W+qLC79VFmbpKbMniBXOrE29j/aYuvXs94xS9nI+9K8vw7LWfZjR4nzxxAJ7+7tnafcwF3YHjQ6O0xR4j+BgEIKrGh1V7Rmub5vgcbu2IVkkOKET2ZJVWJQryRm7mfhvcpwcuPGNYbG1ddMbRuOiMo2OrLyqUXl0ltl6VcVqRLqXxyYML3dG18cd90kXcJu1SR8yOeLGjE+8RDAqBOAZwVHtvJbWjrT/YkntHwrafzL/gQ0/w8Xh15SeOT1cNJ8BDFcenFFesOJIBlwJ4oS3ZxSKWdoc4PjQMx8egUyOqqYupI4Z3YHj/wu/W6HQF+ULscXxyr8IFS/qNseISg0rgZFNWlN5NYDlIpdc/XfA957VZnR1dNRxHZ4UxdRkoETWOD41c8imt+I9PYt17DTjvtCE59yMspo8ahEMtHTh1aH4SYgLxk7Zj3WkpOD5dFfxllidKN3IzkDHFNbelAHRu4VTk1dWVkIg5Xlepo8QVPkbwMVAjF3b+f33xVHzw8ZGcBIcRddU+t91C4Zjanlj9nbPySkaM4tWl6k+8Gh+6bzFWXGJgvbrYC62gzK2laO7rMhofn6mr62p8OvFj0obx6jLo1Pj3s4/H1cs2Y+Zpg0Ofe8mkY/LQo/xj8VfGYf37DZg5enDePTCScZu68pSyoivvUlUmvVLO1QWwXmclKJeFgmV541fXq6uzoKtwsXRR4nKPEXwM1PiXsUMx7ui+jIdVV8fM0wZHEvSiIO6szfni+HT2RVUXqjg+peiGXOr9CwML3vjtaqauuL03Sx1xBlLNB4zgYxCIYf2K5wba1RF/ktI4vbq6R+wRVd4xVrAoVI/0wZKvi9iRGGBRKp98uLMXEwnGObCTPygNGHd2AwMDKZIRVOCFmjZVAQy7KvwaH9qUVHr3gM0lVnr9CwO6913Znb2TPyY9GMHHwMBAhlKeELuLqUuVhb68xDk+5V2IBEzfe0Nu7twodVNX1xpdBgadDMmYQ9nnjdzcDSZrQG3qKkmNTwFiTRUK9L0v62KSNstZ6lrXJkKpk5u7zltjYNAJEbe3R7w7re7B8VHd+PIS5/gUIrp4oWBMXV0Hpe7ObgQfA4MigklZUcIan1LUdhQCLIemiB2RoLwAiXQLhW5j6ipiPwoFQ242MDCQwo45FVSeAjd3cY6PHGwcn9K7CRVdSfBB1zV1dTeNT4nLPUbwMTAoJqK47aomzjhNXbQGqitrfFSaNiY7e8hHVYi1uytxfOwurPFJxhyvq9RhkpQaGBhIQXN8UjFMFvnS+HRhuUcJWqMS9t4WghdV0ZU4PjS5uYtxfKoqulfIvBKXe4zgY2BQTNCCTxy7pFipzYrAfl0JSlMXlaurIxXu7hbijnUtU5eHuJP3FhvVVKLmLvwquTDu7AYGBlLQKvA4CIGxRm7uJklKVaDj5LSl0kXsiRhdSeNDSz5dLXJzdY8y93N3eJWMxsfAwEAKxtQVg+RjvLrCQ3VptMmlPaTgU4hb1qW8uqjPXc3UVV1JCT5d+F0iMF5dBgYGUtBurnHEvsjXfNNdNT70IhVe8CkEx6frTOG051NXIzf36dHdOD6lLfl0rdFlYNDJYNsxCz6xJimVfela0L20UYOrQ9V79TknAgC+PO6osF3SRlfy6mI0Pl1M0qY1PgbFR/cSQw0MShhxUEjijdtsOD4A8NrN09HUmkJtr4pQ533z7OPx6ZMH4qRBvfLUM2BInx55q7vQoDVkXU3jQ3N8jrSlitiTwqDUIzcbwcfAoESgO1kUim/TXTg+QehdWYbeEXbslmVh1JBwWqKwOPvkAfjGWcdj5ODeeW2nEOjKKStok+Sh1vYi9qQwKHG5xwg+BgalAh0z1ajB1Thn5EBFHfH1hxV84qu31NCZA8pZloXvf25EsbsRC9gkpV1L40NfW+ORjiL2pDAocbnHCD4GBqWCIFPXuafUYcml45Vl8mXq6g6eKAbFBZurq+uOt0Mt3UHjU9qiT9cSqw0MOjHiiNwcp8qHCWAYW62lByPTlQYYU1cXVjEeaukGGp/SlnuM4GNgUCoI2iXpREMd3r9nXN3hkpR23YXIoDRAD7FEFzN10WjsBoKPITcbGBhoISiAoWouefgbk/HH9Tvx/c+NjK0/DMen665DBiUC2rTalTU+jd3B1FXsDgQg0nS2ePFiDB8+HJWVlZg0aRLWrVunLL98+XKMGDEClZWVGD16NJ588knm90ceeQTTp09HbW0tLMvC5s2bfXXU19fj0ksvRV1dHXr27Ilx48bhT3/6E1OmoaEBl1xyCaqrq1FTU4N58+bh8OHDUS7RwKDgyCXa6YTh/fCzC8agX8/y+DrEuLN33YXIoDRgM4J21x1vbR2ll/okbpS6xie04PPQQw9hwYIFuOmmm7Bx40aMGTMGM2bMwN69e4Xl16xZgzlz5mDevHnYtGkTZs2ahVmzZmHLli1umaamJkydOhU//elPpe1edtll2Lp1Kx577DG89tpr+NKXvoQLL7wQmzZtcstccskleP3117Fy5Uo8/vjjePbZZ/G1r30t7CUaGBQFvSpKK+9Sd5F1DHG7NMDE8emCgs9/TMsEtLxhZnxa2VJFics94QWfO+64A1deeSXmzp2LUaNGYcmSJaiqqsL9998vLH/XXXfh3HPPxbXXXouRI0filltuwbhx43DPPfe4ZS699FIsXLgQ06ZNk7a7Zs0aXHXVVZg4cSKOO+443HDDDaipqcGGDRsAAG+++SZWrFiB++67D5MmTcLUqVNx9913Y9myZdi1a1fYyzQwKBh+8sXR+PzoOnzx9PxF+I2C7sLxGdynsthdMODQFTU+V59zItZe/xn82yePK3ZX8o4uJfi0tbVhw4YNjIBi2zamTZuGtWvXCs9Zu3atT6CZMWOGtLwMU6ZMwUMPPYSGhgak02ksW7YMLS0tOPvss912ampqMGHCBPecadOmwbZtvPTSS8I6W1tb0djYyPwzMCg0vjLpaPzPJeNLLuEkvQPvyoLPGcP74frPjcB9l00ILmyQNzDu7F1Q8LEsC4O7UKTtzoxQM+3+/fuRSqUwaNAg5vigQYNQX18vPKe+vj5UeRn++Mc/or29HbW1taioqMDXv/51/PnPf8YJJ5zgtjNwIBvYLZlMol+/ftK2Fi1ahD59+rj/hg0bFqpPBgaFRKE3UazGp8CNFxhfP+t4TBs1KLigQd5gdxNBuzugy3F8ioUbb7wRBw4cwFNPPYX169djwYIFuPDCC/Haa69FrvP666/HwYMH3X87d+6MsccGBvGi0HMJE8fHLEQGeQbrzm7GW2dGics94dzZ+/fvj0QigT179jDH9+zZg7q6OuE5dXV1ocqLsG3bNtxzzz3YsmULTjnlFADAmDFj8Nxzz2Hx4sVYsmQJ6urqfATrjo4ONDQ0SNuqqKhARUW4xIMGBt0FbOTmInbEoFuguwQw7A7QiTlWTITS+JSXl2P8+PFYtWqVeyydTmPVqlWYPHmy8JzJkycz5QFg5cqV0vIiNDc3ZzrLBRNJJBJIp9NuOwcOHHDJzgCwevVqpNNpTJo0SbstAwODDEySUoNCguGUGcGnU6NLaXwAYMGCBbj88ssxYcIETJw4EXfeeSeampowd+5cABm386FDh2LRokUAgKuvvhpnnXUWbr/9dsycORPLli3D+vXrce+997p1NjQ0YMeOHa731datWwFktEV1dXUYMWIETjjhBHz961/HbbfdhtraWjz66KOu2zoAjBw5Eueeey6uvPJKLFmyBO3t7Zg/fz4uvvhiDBkyJLe7ZGDQzWHWIYN8w2h8ug5yiUlWCITm+Fx00UW47bbbsHDhQowdOxabN2/GihUrXALzjh07sHv3brf8lClTsHTpUtx7770YM2YMHn74YTz66KM49dRT3TKPPfYYTj/9dMycORMAcPHFF+P000/HkiVLAABlZWV48sknMWDAAJx33nk47bTT8Lvf/Q4PPPAAPv/5z7v1PPjggxgxYgTOOeccfP7zn8fUqVMZAcvAoHOjsLOJ0fgYFBJmvHUllLbkEyllxfz58zF//nzhb88884zv2OzZszF79mxpfVdccQWuuOIKZZsnnniiL1Izj379+mHp0qXKMgYGBnqgTQ9mHTLIN5gAhl04O3t3QLLEc9yUdu8MDAyKBnrpMV5dBvlGdwmY2ZVx95zTMbhPJZZcOr7YXVHCJCk1MDAQgjU9FK8fBt0DXT2AYXfAeWOG4Lwxpc+pNRofA4NOgoLH8TFJSg0KCHqMmTg+BvmEEXwMDDoJCh652RJ/NjDIN4zgY5BPGMHHwMBACMO5MCgkLKPxMSgQjOBjYGAghiX8aGCQFxhB26BQMIKPgYGBEAzHx+zADfIM2gPakJsN8gkj+BgYGAhhGY2PQQFBC9rG1GWQTxjBx8DAQAg2jk/RumHQTWCysxsUCkbwMTDoJHAK7M/OBi00C5FBfkGPMCP4GOQTRvAxMOgkKLg7O/3ZrEMG+Ybx6jIoEIzgY2BgIIQRdgwKCkqjmTCDzyCPMIKPgYGBEDTZ1CxDBvlGmlJpJkySUoM8wgg+BgYGYjCRm81CZJBfpI3Gx6BAMIKPgUEnQcFzdRl3doMCIkWpfAzHxyCfMIKPgUGJ4xMn1AIALj3zmIK2a8jNBoUELdgbwccgn0gWuwMGBgZqPDB3InYfbMGwflUFbdekDTAoJIypy6BQMBofA4MSRzJhF1zoAXhTl1mIDPILWvAxKVIM8gkj+BgYGAjBeHWZdcggzyg0h82g+8IIPgYGBkIYYcegkEgZycegQDCCj4GBgYFB0ZE2go9BgWAEHwMDAyGMxsegkEini90Dg+4CI/gYGBgIYTg+BoVEoZPwGnRfGMHHwMBACOPVZVBIGI6PQaFgBB8DAwMhTABDg0IibeQegwLBCD4GBgZCmPxcBoWEMXUZFApG8DEwMBDCaHwMCgmj8TEoFIzgY2BgIAQt7JQnzFRhkF+kjORjUCCYXF0GBgZCWJaFr591HA40tePY/j2L3R2DLg4Tx8egUDCCj4GBgRTXf25ksbtg0E1g5B6DQsHorw0MDAwMig6j8TEoFIzgY2BgYGBQdBjBx6BQMIKPgYGBgUHRYVJWGBQKRvAxMDAwMCg6jMbHoFAwgo+BgYGBQdFhBB+DQsEIPgYGBgYGRYcJ42NQKEQSfBYvXozhw4ejsrISkyZNwrp165Tlly9fjhEjRqCyshKjR4/Gk08+yfz+yCOPYPr06aitrYVlWdi8eTPz+/bt22FZlvDf8uXL3XKi35ctWxblEg0MDAwMDAy6IEILPg899BAWLFiAm266CRs3bsSYMWMwY8YM7N27V1h+zZo1mDNnDubNm4dNmzZh1qxZmDVrFrZs2eKWaWpqwtSpU/HTn/5UWMewYcOwe/du5t+PfvQj9OrVC5/73OeYsr/5zW+YcrNmzQp7iQYGBgYGBgZdFJYTMjPcpEmTcMYZZ+Cee+4BAKTTaQwbNgxXXXUVvv/97/vKX3TRRWhqasLjjz/uHjvzzDMxduxYLFmyhCm7fft2HHvssdi0aRPGjh2r7Mfpp5+OcePG4de//rV3MZaFP//5z5GFncbGRvTp0wcHDx5EdXV1pDoMDAwMDMJj+PefcD9vv3VmEXti0BkRZv0OpfFpa2vDhg0bMG3aNK8C28a0adOwdu1a4Tlr165lygPAjBkzpOV1sGHDBmzevBnz5s3z/fatb30L/fv3x8SJE3H//febjL8GBgYGBgYGLkKlrNi/fz9SqRQGDRrEHB80aBDeeust4Tn19fXC8vX19SG76uHXv/41Ro4ciSlTpjDHf/zjH+Mzn/kMqqqq8Pe//x3f/OY3cfjwYXz7298W1tPa2orW1lb3e2NjY+Q+GRgYGBgYGJQ+Ol2uriNHjmDp0qW48cYbfb/Rx04//XQ0NTXh5z//uVTwWbRoEX70ox/lra8GBgYGBgYGpYVQpq7+/fsjkUhgz549zPE9e/agrq5OeE5dXV2o8kF4+OGH0dzcjMsuuyyw7KRJk/DBBx8wWh0a119/PQ4ePOj+27lzZ6Q+GRgYGBgYGHQOhBJ8ysvLMX78eKxatco9lk6nsWrVKkyePFl4zuTJk5nyALBy5Upp+SD8+te/xvnnn48BAwYElt28eTP69u2LiooK4e8VFRWorq5m/hkYGBgYGBh0XYQ2dS1YsACXX345JkyYgIkTJ+LOO+9EU1MT5s6dCwC47LLLMHToUCxatAgAcPXVV+Oss87C7bffjpkzZ2LZsmVYv3497r33XrfOhoYG7NixA7t27QIAbN26FUBGW0Rrht555x08++yzvjhAAPDXv/4Ve/bswZlnnonKykqsXLkSP/nJT/Dd73437CUaGBgYGBgYdFGEFnwuuugi7Nu3DwsXLkR9fT3Gjh2LFStWuATmHTt2wLY9RdKUKVOwdOlS3HDDDfjBD36AE088EY8++ihOPfVUt8xjjz3mCk4AcPHFFwMAbrrpJtx8883u8fvvvx9HHXUUpk+f7utXWVkZFi9ejGuuuQaO4+CEE07AHXfcgSuvvDLsJRoYGBgYGBh0UYSO49OVYeL4GBgYGBQHJo6PQS7IWxwfAwMDAwMDA4PODCP4GBgYGBgYGHQbGMHHwMDAwMDAoNvACD4GBgYGBgYG3QZG8DEwMDAwMDDoNjCCj4GBgYGBgUG3gRF8DAwMDAyKjjH/v737jW2q3sMA/rRuLSOjLVjWbmxjMyBcxO3igFKN8cUaEYmg4QUhS+SKwQAjgYSYIASHr0ZiYqKG8MYrvHNR49DAMC4bTCFjwFhlA51AJiO6PyoZ65R/W5/7guzAgQW9YT3tdp5P0mT090v5nqcle9KeQ3O9AIDIvwJ/s1Pk4Yy5LykVEZHx57//WYCa1i4s//e0ZI8i45yKj4iIJJ0/041XwwXJHkNsQB91iYiIiG2o+IiIiIhtqPiIiIiIbaj4iIiIiG2o+IiIiIhtqPiIiIiIbaj4iIiIiG2o+IiIiIhtqPiIiIiIbaj4iIiIiG2o+IiIiIhtqPiIiIiIbaj4iIiIiG3o29nvQhIA0N/fn+RJRERE5J8a/r09/Hv8QVR87hKLxQAAeXl5SZ5ERERE/l+xWAxer/eBexz8J/XIJuLxOH799VdMmjQJDodjVB+7v78feXl5uHz5Mjwez6g+ttyhnK2hnK2jrK2hnK2RqJxJIhaLIScnB07ng8/i0Ts+d3E6ncjNzU3o3+HxePSPygLK2RrK2TrK2hrK2RqJyPnv3ukZppObRURExDZUfERERMQ2VHws4na7UVFRAbfbnexRxjXlbA3lbB1lbQ3lbI1UyFknN4uIiIht6B0fERERsQ0VHxEREbENFR8RERGxDRUfERERsQ0VHwvs3r0bBQUFmDBhAkKhEE6cOJHskcaUb7/9Fi+99BJycnLgcDiwf/9+0zpJvP3228jOzkZGRgYikQjOnz9v2nPlyhWUlZXB4/HA5/Ph9ddfx8DAgIVHkfoqKyuxYMECTJo0CVlZWXj55ZfR3t5u2nP9+nWUl5fj0UcfRWZmJlasWIGenh7Tns7OTixduhQTJ05EVlYW3nzzTQwODlp5KClvz549KCoqMv4Tt3A4jEOHDhnryjkxdu3aBYfDgc2bNxv3KeuHt3PnTjgcDtNt9uzZxnrKZUxJqKqqKrpcLn788cc8e/Ys165dS5/Px56enmSPNmbU1NRw+/bt/OKLLwiA1dXVpvVdu3bR6/Vy//79/P7777ls2TIWFhby2rVrxp4XXniBxcXFPH78OL/77jvOmDGDq1atsvhIUtvixYu5d+9etrW1MRqN8sUXX2R+fj4HBgaMPevWrWNeXh7r6up46tQpLlq0iE8//bSxPjg4yLlz5zISibClpYU1NTX0+/186623knFIKeurr77iwYMH+dNPP7G9vZ3btm1jeno629raSCrnRDhx4gQLCgpYVFTETZs2Gfcr64dXUVHBJ554gl1dXcbtt99+M9ZTLWMVnwRbuHAhy8vLjT8PDQ0xJyeHlZWVSZxq7Lq3+MTjcQaDQb777rvGfX19fXS73fzkk09IkufOnSMAnjx50thz6NAhOhwO/vLLL5bNPtb09vYSABsaGkjezjU9PZ2fffaZseeHH34gADY2NpK8XVKdTie7u7uNPXv27KHH4+GNGzesPYAxZvLkyfzoo4+UcwLEYjHOnDmTtbW1fO6554zio6xHR0VFBYuLi0dcS8WM9VFXAt28eRPNzc2IRCLGfU6nE5FIBI2NjUmcbPzo6OhAd3e3KWOv14tQKGRk3NjYCJ/Ph/nz5xt7IpEInE4nmpqaLJ95rLh69SoAYMqUKQCA5uZm3Lp1y5T17NmzkZ+fb8r6ySefRCAQMPYsXrwY/f39OHv2rIXTjx1DQ0OoqqrCn3/+iXA4rJwToLy8HEuXLjVlCug1PZrOnz+PnJwcPPbYYygrK0NnZyeA1MxYX1KaQL///juGhoZMTyYABAIB/Pjjj0maanzp7u4GgBEzHl7r7u5GVlaWaT0tLQ1Tpkwx9ohZPB7H5s2b8cwzz2Du3LkAbufocrng8/lMe+/NeqTnYnhN7mhtbUU4HMb169eRmZmJ6upqzJkzB9FoVDmPoqqqKpw+fRonT568b02v6dERCoWwb98+zJo1C11dXXjnnXfw7LPPoq2tLSUzVvERkfuUl5ejra0NR48eTfYo49asWbMQjUZx9epVfP7551i9ejUaGhqSPda4cvnyZWzatAm1tbWYMGFCsscZt5YsWWL8XFRUhFAohOnTp+PTTz9FRkZGEicbmT7qSiC/349HHnnkvrPXe3p6EAwGkzTV+DKc44MyDgaD6O3tNa0PDg7iypUreh5GsHHjRhw4cACHDx9Gbm6ucX8wGMTNmzfR19dn2n9v1iM9F8NrcofL5cKMGTNQUlKCyspKFBcX4/3331fOo6i5uRm9vb146qmnkJaWhrS0NDQ0NOCDDz5AWloaAoGAsk4An8+Hxx9/HBcuXEjJ17OKTwK5XC6UlJSgrq7OuC8ej6Ourg7hcDiJk40fhYWFCAaDpoz7+/vR1NRkZBwOh9HX14fm5mZjT319PeLxOEKhkOUzpyqS2LhxI6qrq1FfX4/CwkLTeklJCdLT001Zt7e3o7Oz05R1a2urqWjW1tbC4/Fgzpw51hzIGBWPx3Hjxg3lPIpKS0vR2tqKaDRq3ObPn4+ysjLjZ2U9+gYGBnDx4kVkZ2en5ut51E+XFpOqqiq63W7u27eP586d4xtvvEGfz2c6e10eLBaLsaWlhS0tLQTA9957jy0tLbx06RLJ25ez+3w+fvnllzxz5gyXL18+4uXs8+bNY1NTE48ePcqZM2fqcvZ7rF+/nl6vl0eOHDFdlvrXX38Ze9atW8f8/HzW19fz1KlTDIfDDIfDxvrwZanPP/88o9Eov/76a06dOlWX/t5j69atbGhoYEdHB8+cOcOtW7fS4XDwm2++IamcE+nuq7pIZT0atmzZwiNHjrCjo4PHjh1jJBKh3+9nb28vydTLWMXHAh9++CHz8/Ppcrm4cOFCHj9+PNkjjSmHDx8mgPtuq1evJnn7kvYdO3YwEAjQ7XaztLSU7e3tpsf4448/uGrVKmZmZtLj8fC1115jLBZLwtGkrpEyBsC9e/cae65du8YNGzZw8uTJnDhxIl955RV2dXWZHufnn3/mkiVLmJGRQb/fzy1btvDWrVsWH01qW7NmDadPn06Xy8WpU6eytLTUKD2kck6ke4uPsn54K1euZHZ2Nl0uF6dNm8aVK1fywoULxnqqZewgydF/H0lEREQk9egcHxEREbENFR8RERGxDRUfERERsQ0VHxEREbENFR8RERGxDRUfERERsQ0VHxEREbENFR8RERGxDRUfERERsQ0VHxEREbENFR8RERGxDRUfERERsY3/AXDuBuYJq/gHAAAAAElFTkSuQmCC", + "image/png": "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", "text/plain": [ "
" ] @@ -484,23 +540,23 @@ }, { "cell_type": "code", - "execution_count": 221, + "execution_count": 160, "id": "7dad9971-83e3-4f0f-9965-c9dd3101c59e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 221, + "execution_count": 160, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -515,23 +571,23 @@ }, { "cell_type": "code", - "execution_count": 222, + "execution_count": 161, "id": "d13fdad8-2e37-4be6-888b-944a26b93a40", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 222, + "execution_count": 161, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -546,23 +602,23 @@ }, { "cell_type": "code", - "execution_count": 223, + "execution_count": 162, "id": "d92e8de5-991c-4cdf-b432-c3dcff282bb5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 223, + "execution_count": 162, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -577,23 +633,23 @@ }, { "cell_type": "code", - "execution_count": 224, + "execution_count": 163, "id": "9a7af5a3-a5e6-40e5-980b-878df5de6ee0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 224, + "execution_count": 163, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] diff --git a/notebooks/jan29-test-self-calibration.ipynb b/notebooks/jan29-test-self-calibration.ipynb index 8e05d45d..225cabda 100644 --- a/notebooks/jan29-test-self-calibration.ipynb +++ b/notebooks/jan29-test-self-calibration.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 18, + "execution_count": 6, "id": "4f293307-5db0-4836-98e2-2cf490d518f0", "metadata": {}, "outputs": [], @@ -28,7 +28,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 7, "id": "1c95c5c6-0882-40e3-85b0-da8b10ddbc82", "metadata": {}, "outputs": [], @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 24, "id": "368760e7-f292-4000-a220-0116b461e5cf", "metadata": {}, "outputs": [], @@ -56,12 +56,17 @@ "# use a modified version of BA2014 distribution for true prior, add m,c which are inferred jointly\n", "# with shear\n", "\n", - "def ellip_prior_e1e2_calibrated(e1e2, *, sigma, m , c):\n", + "def ellip_prior_e1e2_calibrated(e1e2, *, sigma, m , \n", + " c=0.0,\n", + " ):\n", " x = (e1e2 - c) / (1+m)\n", - " return jnp.abs(1 / (1+m)) * ellip_prior_e1e2(x, sigma=sigma)\n", + " return (1+m)**-1 * ellip_prior_e1e2(x, sigma=sigma)\n", "\n", "\n", - "def true_ellip_logprior(e_post, g, *, sigma_e: float, m:float, c:float):\n", + "def true_ellip_logprior(e_post, g, *, sigma_e: float, \n", + " m:float,\n", + " # c:float\n", + " ):\n", " \"\"\"Implementation of GB's true prior on interim posterior samples of ellipticities.\"\"\"\n", "\n", " # jacobian of inverse shear transformation\n", @@ -71,7 +76,9 @@ "\n", " # true prior on unsheared ellipticity\n", " e_post_unsheared = _inv_shear_trans(e_post, g)\n", - " prior_val = ellip_prior_e1e2_calibrated(e_post_unsheared, sigma=sigma_e, m=m, c=c)\n", + " prior_val = ellip_prior_e1e2_calibrated(e_post_unsheared, sigma=sigma_e, m=m, \n", + " # c=c\n", + " )\n", "\n", " return jnp.log(prior_val) + jnp.log(absjacdet)\n", "\n", @@ -97,27 +104,30 @@ " g = params['g']\n", " sigma_e = params['sigma_e']\n", " m = params['m']\n", - " c = params['c']\n", + " # c = params['c']\n", "\n", - " _logprior = lambda e, g: true_ellip_logprior(e, g, sigma_e=sigma_e, m=m, c=c)\n", + " _logprior = lambda e, g: true_ellip_logprior(e, g, sigma_e=sigma_e, m=m, \n", + " # c=c\n", + " )\n", " _interim_logprior = lambda e: jnp.log(ellip_prior_e1e2(e, sigma=sigma_e_int))\n", "\n", " loglike = shear_loglikelihood(g, e1e2, logprior=_logprior, interim_logprior=_interim_logprior)\n", "\n", " g_mag = jnp.sqrt(g[0] ** 2 + g[1] ** 2)\n", " logprior_g = uniform_logpdf(g_mag, 0.0, 1.0) + jnp.log(1 / (2 * jnp.pi))\n", - " logprior_m = uniform_logpdf(m, -0.5, 0.5)\n", - " logprior_c = uniform_logpdf(m, -0.5, 0.5)\n", + " # logprior_m = uniform_logpdf(m, -0.5, 0.5)\n", + " logprior_m = stats.norm.logpdf(m, loc=0.0, scale=0.1)\n", + " # logprior_c = uniform_logpdf(m, -0.5, 0.5)\n", " logprior_sigma = uniform_logpdf(sigma_e, 1e-4, 1.0)\n", "\n", - " logprior = logprior_g + logprior_m + logprior_c + logprior_sigma\n", + " logprior = logprior_g + logprior_m + logprior_sigma #+ logprior_c\n", "\n", - " return loglike +logprior" + " return loglike + logprior" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "id": "8df24ea9-fe94-44fb-b17f-385bcf28f4d8", "metadata": {}, "outputs": [], @@ -128,16 +138,16 @@ " data=e1e2,\n", " init_positions=init_positions,\n", " logtarget=_logtarget,\n", - " n_samples=1000,\n", + " n_samples=100,\n", " n_warmup_steps=500,\n", - " max_num_doublings=5,\n", - " initial_step_size=1e-3,\n", + " max_num_doublings=3,\n", + " initial_step_size=1e-2,\n", " )" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "id": "096ab062-d05e-4e27-b825-a88197576d0b", "metadata": {}, "outputs": [], @@ -148,7 +158,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "id": "92a0e4e4-1c42-4e4d-a8b0-31d0668b0597", "metadata": {}, "outputs": [ @@ -158,7 +168,7 @@ "(320000, 300)" ] }, - "execution_count": 25, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -171,7 +181,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "id": "0f18534d-0c07-420c-b2ad-8d31c8a7a320", "metadata": {}, "outputs": [ @@ -181,7 +191,7 @@ "(320000, 300, 2)" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -193,7 +203,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "id": "6ddb4b88-987f-494f-80b6-e953aaccee09", "metadata": {}, "outputs": [], @@ -203,7 +213,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "id": "783d82a8-22d1-41ec-b6dc-f6e3ab1bceaa", "metadata": {}, "outputs": [], @@ -213,7 +223,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "id": "b8dff555-1ae5-4d38-ac4f-3fa74e926fe3", "metadata": {}, "outputs": [ @@ -224,7 +234,7 @@ "[ 0 42]" ] }, - "execution_count": 29, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -236,28 +246,30 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "id": "64f2bdf0-b6a4-46a1-aac2-cd623a266884", "metadata": {}, "outputs": [], "source": [ "GPU = jax.devices(\"gpu\")[0]\n", - "e1e2 = jax.device_put(e1e2, GPU)\n" + "e1e2 = jax.device_put(e1e2, GPU) # this is actually necessary to avoid out of memory errors\n" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "id": "39cc2dc2-d9dd-49b8-a9b2-5c3171273510", "metadata": {}, "outputs": [], "source": [ - "init_positions = {'m': 0.0, 'c':0.0, 'g':jnp.array([0.02, 0.0]), 'sigma_e':0.2}" + "init_positions = {'m': 0.0, 'g':jnp.array([0.02, 0.0]), 'sigma_e':0.2, \n", + " # 'c':0.0,\n", + " }" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "id": "ae0cfedf-aff5-4110-9d12-fe58c53f0951", "metadata": {}, "outputs": [], @@ -268,7 +280,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "id": "5a1f2e04-c67a-426f-aa05-200f351a602a", "metadata": {}, "outputs": [], @@ -278,17 +290,17 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 36, "id": "7a85dd04-b1d4-4a0a-be50-7aac7820444c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(dict_keys(['c', 'g', 'm', 'sigma_e']), (1000, 2))" + "(dict_keys(['g', 'm', 'sigma_e']), (100, 2))" ] }, - "execution_count": 16, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -299,23 +311,23 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 37, "id": "c1a63f77-8e62-4a5c-891d-6ec939d5042c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 19, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -330,23 +342,23 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 39, "id": "65226412-5406-4880-8174-bff823a7e510", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 22, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -356,23 +368,54 @@ } ], "source": [ - "plt.plot(samples['c'])" + "plt.plot(samples['sigma_e'])" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 40, "id": "fa5c7b68-d0ae-4801-9952-7fa29b9ea732", "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(samples['m'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e4c1dfdd-74f6-441a-b218-1285260529ff", + "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { - "display_name": "bpd_gpu", + "display_name": "bpd_uv", "language": "python", - "name": "bpd_gpu" + "name": "bpd_uv" }, "language_info": { "codemirror_mode": { @@ -384,7 +427,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.11" + "version": "3.12.12" } }, "nbformat": 4, From d0782828a456bed688211edbf1771d0ad4b77bb2 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Tue, 17 Feb 2026 12:32:45 -0800 Subject: [PATCH 13/20] total timing figure --- bpd/plotting.py | 64 ++++++++++++++++++++++++++++------- paper/total_timing.png | Bin 0 -> 88281 bytes scripts/get_paper_figures.py | 26 +++++++++++++- 3 files changed, 77 insertions(+), 13 deletions(-) create mode 100644 paper/total_timing.png diff --git a/bpd/plotting.py b/bpd/plotting.py index 61529ce2..d67f9ad8 100644 --- a/bpd/plotting.py +++ b/bpd/plotting.py @@ -144,12 +144,55 @@ def get_timing_figure( return fig1, fig2 +def get_total_timing_figure( + results: dict, *, max_n_gal_str: str, avg_ess: float, figsize=(10, 10) +) -> Figure: + all_n_gals = [n_gals for n_gals in results] + + _, n_samples = results[max_n_gal_str]["samples"]["lf"].shape + + total_time_warmup = [] + total_time_sampling = [] + n_chains_arr = np.array([int(n_gals) for n_gals in results]) + + for n_gals_str in all_n_gals: + t_warmup = results[n_gals_str]["t_warmup"] + t_sampling = results[n_gals_str]["t_sampling"] / n_samples * 300 / avg_ess + + total_time_warmup.append(t_warmup) + total_time_sampling.append(t_sampling) + + total_time_warmup = np.array(total_time_warmup) + total_time_sampling = np.array(total_time_sampling) + total_time = total_time_sampling + total_time_warmup + + # first option + fig, ax = plt.subplots(1, 1, figsize=figsize) + + ax.set_ylabel(r"\rm Total time (sec)") + ax.set_xlabel(r"\rm \# of Galaxies") + + ax.plot(n_chains_arr, total_time_warmup, "-o", label=r"\rm Warmup") + ax.plot(n_chains_arr, total_time_sampling, "-o", label=r"\rm Inference") + ax.plot(n_chains_arr, total_time, "-o", label=r"\rm Total") + + ax.plot(n_chains_arr, total_time[0] * n_chains_arr, "k--", label=r"\rm Worst") + + ax.legend(loc="best", fancybox=True, shadow=False) + + ax.set_xscale("log") + ax.set_yscale("log") + + return fig + + def get_timing_table( results: dict, *, max_n_gal_str: str, avg_ess: float, fpath: str ) -> Figure: all_n_gals = [n_gals for n_gals in results] warmup_times_per_obj = {} - eff_samples_per_sec = {} # after warmup + inference_times = {} + t_300_dict = {} # after warmup _, n_samples = results[max_n_gal_str]["samples"]["lf"].shape @@ -164,29 +207,26 @@ def get_timing_table( # (avg.) time to produce 1 effective sample for 1 object (ignoring warmup) t_per_obj_per_sample_sampling = t_sampling / (n_chains * n_samples) / avg_ess + t_300 = t_per_obj_per_sample_sampling * 300 + t_per_obj_warmup # save warmup_times_per_obj[n_chains] = t_per_obj_warmup - eff_samples_per_sec[n_chains] = 1 / t_per_obj_per_sample_sampling + inference_times[n_chains] = t_per_obj_per_sample_sampling + t_300_dict[n_chains] = t_300 if n_gals_str == max_n_gal_str: - print( - f"Global best efficiency: {t_per_obj_per_sample_sampling / avg_ess:.3g} sec" - ) + print(f"Global best efficiency: {t_per_obj_per_sample_sampling:.3g} sec") print(f"Global best warmup: {t_per_obj_warmup:.3g} sec") # create latex table with rows for n_chains and columns for t_per_obj_warmup, t_per_obj_per_sample_sampling, # and eff_samples_per_sec - table_str = "\\begin{tabular}{|c|c|c|}\n" + table_str = "\\begin{tabular}{|c|c|c|c|}\n" table_str += "\\hline\n" - table_str += "Number of Galaxies & Warmup time / galaxy (sec) & Effective Samples / sec / galaxy (after warmup) \\\\\n" + table_str += "\\# of Galaxies \\newline in Parallel & Warmup time (sec) & Inference time / eff. sample (sec) & Time to produce \\newline 300 eff. samples (sec)\\\\\n" table_str += "\\hline\n" - for n_chains in sorted(eff_samples_per_sec.keys()): + for n_chains in sorted(t_300_dict.keys()): t_per_obj_warmup = warmup_times_per_obj[n_chains] - _eff_samples_sec = eff_samples_per_sec[n_chains] - table_str += ( - f"{n_chains} & {t_per_obj_warmup:.3g} & {_eff_samples_sec:.3g} \\\\\n" - ) + table_str += f"{n_chains} & {t_per_obj_warmup:.2g} & {inference_times[n_chains]:.2g} & {t_300_dict[n_chains]:.2g} \\\\\n" table_str += "\\hline\n" table_str += "\\end{tabular}" diff --git a/paper/total_timing.png b/paper/total_timing.png new file mode 100644 index 0000000000000000000000000000000000000000..9129f5e5d0699e1ef698a5ee8f8e495ca34b7d6a GIT binary patch literal 88281 zcmd?RS6Gu>yEO_Tpmafyj);N+Ql&Q$1*EF<-V~(w-c(9ZL`0-lUr;)s_ka+JbfotV zp@tGdfKc{~zTaBwU;oiQ*hf3p<%NM{KJ%G#-ffI=KkuJuD3OyelHlRtkv~;_`~nY; zU=8>03K95?de-nV_#x@>MBhWp+1kU~!tE8Fx`l^}gR_T&t>sOxS8ndM&Q8L7f&zTv zyf zn(;N(MxS@=jg|0U3c)r$tTN<&J?X|nI$1fTUeQ)jN7#gPY`T+VJz?$R{K|g-7FU&D zk?<J7-?0#w)j zzO;@LP2NQOecjEB{QDmtLPC#!|IVNJhVRy&*COHdfhUjuyc*tIs{8jlH=aGb@%N*9 zmq^zBe)5*-Lwu9JpKK-l??LhZe?F*OIVlxNJWa!EYg}GmpPnwVZOiTNDj9yXpubK_ z`@7smGa#TLYsU~D#xhlEMI3l?AXrcKcX@{#X6oW*Vg4y5M44}9i^Iag@QW|l;c&Qm zvErXmvRAIt(GBKkvU&6E6OpWK>!V8!cXwU>U3A-o2HQHQH(ABMyJd^`|9UqwCJ2?M z<~=0y^7C8PJ(5j6C`az^?KSuJQ?juI&fdcv6(uEnlTRx0^7!CxzQ)IMr>fSkEG;Q0 zD_>bySO7PbXz~en%qm`xthqfVgPUWJGs_4B4K?*6L|@uf5|WmV4&ul*OE2GB_ge(W zQZ=|%R#vXxxKVD^LDALKwKiIm5=4Ppo9xc(11k~WtFajwnqZLkA3r{*XTGKt79KvB zr^U68LQPcK-@wPm_t+Z$y;b(-D{;TGpV|t+1xh9yLc_xDrA9K}783eWQX=3W$`o$# zpP31ftPQ@@(a{;-_Uf&q%~N>%__9}hT7EuvxhihkVssVpO_F;ST=3=*ISkadAo=ID zx#tppcGQ-a&_lw~@Um*Q=$SF@Hh;yu_FmMatH|x&WMVNjtGPjaIepvJ$vZm zFFIO8A&aYpR z+3clTK>Oz4;DBgqWp#B_>ary39F?=W$Gsb#wI6OV#rz%;P1p{p7EqI%=A=}cr$ z&FtRBlVwJ`>fnnYZ|C|yo8v=C=wTa&yUqPRM!hR?J=*SY7ee&CokH76_)GyJp+7|o z+J_o}A(q;s>`T&mtvMtmCxxGUzym;{fTs03p-OwOS$8WkNOI#d7AR!^K zys{GW<;x>WOUpF$DlpcRl+AOztP}s@O@CUPF>&Y_KkxZc6nT6bW91dM<-xYYIvJvx zrReUIfm)*)Xl^Be#rh4jS&_jr3;)TVF#CR}vU-1RaLpyC#J9WZnH|*OFxhZ1_UDFq zU`_4X2z(mRpJBE+-5$kcA9iR^ZY}6EEzYT#-UC+Q>C>m|?CfvX*47OB%M6QNzI<5& znbr%YdUm$((DRpU4Q}1R{vRB8V1&UvzkmOp9atDkAEj)<*RRX6dVx(F+e`V;EDp`@ z2(z=Zhb6sV!$yL+?%lfw-hBqk5fC6J!a-wDUc1U`kMPC&X0ud0Vd14KbxW)1B@-#5Lym3H*Ct3tBrmViOaU z?d?EY6nPd^4&F^3b z>?w+?i{0lZyPUuwahR-F&qW~Y*>HJ-ZNHnB4QgPYSdfe$>n)!M@E3HXLrSvBYSrU( zg}a)Q#3qkF=^Gm}>lRe%_WM{{TSq-}s5AtN=!$XDOOXo>N-L<=qZE`IF0p_!8k4i; z3TDiJGg>bhU@}$b30zNm1_bO1(gGFrJJH<4EU>e)6KQdV3n^|dKk$6;4Op>)kR$Mj zh{7#)kGeYU7T+8Ac_aH4=WOJw@j^M<1O~BBdiEs4lDvf1zPj zp{`5qG4b(=8XBMKiG455&nhRQ*yPevQ&SmbR++?{3d=Dy->6a(62{DB;Nj%<+B2TL zJH-^kvn8)htg6dsa3}TT{zM&pJv?aK#kBY5Ph<&dW%SO+PpnG|8-~PaFbRELx_1Pp z$!8H0viDQV#G4B|2S`?=_8W8yvR#q=r7--(W}9*4C1-$u{WLZ%B+0Q?l#~ z=V^st`g(e9-@Er7oLJmEb#+HAHf^_Dc2E2|Q`{&uBR_nQ+={@*#hAPl3;KXBSl2B0 zakFgSnQ}or8%XDhKDAj|Oh<4Sy$_uJ6?C8Ohs-y>2rsk%2ApPZdb#m$GA-yz0zHA~ zj~{PyaD;sQdL0;r8nDVNzYZpnS==fQ23^;=KB`{?DYE($xv_7}JXv(YjNVa;dID#iIGVr@`$Cow$QCRQBR1PT>lv z(`+rmnjRNGK%j7NIrs9c_eHIaNHxIx2oLL4f3Qhj1dJ9MC}}&p+pQ6VW-+9j!ZiH? zBY(XI-clLo5IBWOu(v?7#3ycyP)d}l{M3=Zx6jtn9_D$@mibR z0&W+1QdVBR37gB;DX>FVIJJCgk0WVvA2Spj=v!{gj4fD=RDWIbKPy4-|NQ_VzKzX?78Go++Y^ zb|a`AT#?hz+_4kTGkIeaUtoUlJXL)Ch$xt?+MInr?DO-$KF2(2SbE!l-{H2dg#|k> zwCmTeQ?atnu5EU8cTZH<(hv}l-Mo8uZTCh*Vxga4Lll$Ps8n`S?HU3kh>s_;f`3f+ zkZPG;A|NuJj+Pfo*Y>B_kmuDe(dU(RnIsGM60!L<%h9Wlp3RQLnF8=?t?8#*S4|uE zX~}Bl^HB!7O&;$~-x;%?e*S72$U7i5FzkXXdeHiB(UsgIKsIZ7!D%*;Ah7m>X8rj< zY?yOEcyu%+)K~z*U(L6$G#zcX6+L^uLMkh(-Nk7Rbp=f+QtG#p{hwk_-IAWj`Sd{o zA=4^>z>*oI>+#Q~+J5gVYd_c41dSO*lK<(t)y3U?<&cuIN3O89m}Z0-clpVNjgfhn z_br@2E24F1TE`ylTo{GfG2=IqpXXlFn|)bW~{afz{i%l^xOv#Rx#!VgA3>{p+XQks}zcW6X-u1%eT_fqrncke9IOgVm z4b&_^mTq!LmgL`vH=j-#Tf4g&saBl7Jw)aG_e!q9WFgBE7#9p7ro?{4>0Dx2mybEq zWtRFsh1+Fusy@UlJXWm#M_CPZ#!67?+|DI%-(vsyKr3zETw;%wm|RrWbn}34`0fgq znPsVd4`0#Df2wv{L~3}f|D4Kd-bISKjsdNL22+o>8Sfo&@$s#}N!ouW8{^euD_*;^ zeNQ^>;JVItom8R4myO-}D$2?c6W=SP{!{mFe;sn!Uz|iFU5rX|tLD=`2%u6GZsL0I zU>J;b=fB4KWh?G$(d*7Tc`CtWCKr){gvIRK2-bv9u;6AkDElvpu>BE?Hqb)c$=Ba9 zHkKfz0gH4mrhnySu$}HV@FW!ECWAvmr4tU;34ct4b@f5&bb@SHl3q^9YEtF22BSd{KU?V8@SKgw{L$=Ntr6d{3(ui76h2p z0(WH7>ug17!)Qa7z0LJIEUXjm5Z}#IowA^RRz|rmR)7A0tei)Z8)S4KITU!+bscyz ztsiRaePdr@Eww^n9a2Oy( z@QLYX88qQHD3{AsV-;RU)K{1?(KV+eJbcAq&g{do^|Q1~NUxqe(y&pHUsq;qnnnhN z8)lJ(S%bK|JY%^)L^bzrVdllpb6%_;gGrr-VEu!<5D?cjUWw}U*IMB9!5?_lP4?Ee zc&6bNN?B^&Mbd{GakX*wkah;*g-EJSx1JE|##Qwb-=E3=<2KBxbf+M*ciwvBqM?Va zbhlV`OfOW!*{8mE`?G>@>FyjEpOAn^mrGAir}zo#gU;UGS0IxY2`{y=wg%zk zk*O&w9w@hwZSsGM8Q1FG&Q6Qj2H(d@N>=3)<29}vpoBn*5|4p{6=^~L5_~N-7Tz9J zOo*j0p>4c}ap=N$mViSHzHgTr{pk~@pkS%)6numOEZX3tcq#?bOgt*b*^kI3ELMW8 z@rTQ-3V_lO+VL$`EIq}GH;KkYn|n%Do6v!6R8*6v7)M+<1cwjAJKVu`a^eG_T`gUD zVun*fA_?U5-ugti(vFYsQ)()+rInR0h<}@8S+=&e**|`a>WlYTmtSLIQdLnQ0Rg#4 zM**B)P_Th`9SbU&#*W|9<)w3al^{n1H`4j**G+Ej{C1oT=`6`cg)wsdG{B^L1vE_U8mEdy*C9pC-b{kiyenSuGiVq<1i=#@|*cD)0>^I(jrmQ;^XF4 z=I`3@V-&Y$i`)6BI%*dIjGA1ss-1l={0`QeF>?W$JF~D}K6S>YGHZ(x=j_GlE33M7 zl-3xz{mq^6OYFT3-$R3yQL{T&hAV@8(F2|-y`$OwGaf_gt!-^1B(->;faL%g2S5=F zWqJS{f`k_7@&K2i6xjbGzzozK`bDFD{*6Vt1=vZBBHS{xGS#*mpGl`2G2f9=S(`18 znhQqB1Y!?G>L1u%0?9u@pSRdzuJ`Q28fnb$hgygLBjd3r2e#+QhCb)MCL1KlBkm;y zh!inh4GoPnjMPy&z((>ti~Tgws|_|w8rt!(tr`2@z<3_MUOqDfLzlZ;HT#wtVvE?e1-TXOi&<6B8x%WSo@) zElyq|C$vZ0dzc2lp#OM7mG4nVA(|21$t7@f#n99$DFDaTulmPm}<5 z)74o^=f0$5GA?7A)U2D4TD?@Ws+H*7CXX#*A{G(f4cTGaB0+Sd&JEI583IG`3|7|8 z=;`TUjQpA8+ON>o)+T5_%IhF%1cPrEWc;T7dz+6u#e?@U_@9@Qevb4rZW$1qrR|IC z;x?$UCPwKwSojAeVSS*#%t7wl(Wc->O}FK288-Vgveh?fcvu@4ggtX)WMqMNx9 z;&cC4XswPow~u+}1Jk-YaqptS9($F!jXcpyGSMXmAeU7SjhQeOh29dsn@X_ti{I)H zvB`jH9pjxV>CYyCC4d!rA04e1ZK6eJ1YE7l)Q*5J+jL_m8sXSf|B3iXqRGPZyjhjP z#-hP|Jt3(5_rvfiJ^MAuf)N!(MIszH>6Zj-{a1H)K`Ffv+MUtxeq$a+dT_^nZ?UZ> zLoNeMp0T3pw-9Jv24&-JqkRzIII>K+OPIj%qA! zXh>C05fwE5i3d=?*&H71T*bpYB=-L%aZ|?rJ+Fq zc9*;gfP<~=?Pcc8?-=DCg78;pSP81SuaZzEDKB1Jl_w*U2Er34-7;Zhf2gEMhI)8k zRyW%!3Blzc9YOV!V)=4FY%-+Tw=5Hlv!cB!c zw{HsoBE?YdVP0NdHo&~=AL>*BK#Tgu4J8K$hY*z0p9^F=mg>c!e(gi_%e_V98|52N z!_q+}7d!yC5w5Q=BvIj+NH-hJo^^NWRhmmTQ?xMn&edh-d3_+|rl4R9At~MG#KiI3 zk+cH;sn{=HHl*d8rfU=l&%ky&h^FYe{mBIn1hWEPD13lerPty~&i!%EF?K1HRJte*IF$MbRu1Gz1^OO9yJ- zaNg_IqDU8IC`xa~H!5leQO4yd$K@dnxCzGV)bsw@V-O>2Je9~RFlxhM-n%j_nO_4j|e zvX`UxQb4_E@Y2BtGS2BxooQGMZq(IPQSs}Ik_~#qF2H_qkSuD%%FTjLGx@|FPQuEBC@k@w|`_9%C`Ry87YC?DwolY!5MA@vxe=fd&2QDKly#- z+!tSQJv&yVg`V%|fE2x#ujqF^vj*$&yprsN1y`diU9l`oZk^{mvth7O2-_S3^SkN) zIfFmiOd|AJhlkUiA1n!MfI-oyBKjZijp6m&jFBv*Xin$aXZrd+!~HlU{8~&nL%96& zC+x3uRxV=+uhCHfNbg%k*;nEOb(_Fh{?HT1{(wmIAfjFNG9h7-iCdPAL~4(ZGYf+p zvSqBJMZrpQp&_JV<7j`o)Df8l_>Q-Gsg@B8cCJ}-W-WHmdc4}UI|NI0pDu~$mvK1QYMX(I3XWOMvdZNs4azEpw1$&~4(vw$Ovj)Fv>`R2wM#+qb}^*RlW z0>H{aEm?pH07w-GBKM8s{v11>F2IJ&$RHp>WFek;a{EfFy1Q?`d6WG>Fvx(F3aIsb ze|1Du-8U@6f7Y-Ugv_h^n3ebTmK7xa!degI9*w|kW(Pos@G3y?i3%|A;r|AnE}Cjh^Det^!uW z|M9m;yUIF+1_tZC)Xt9#!fO7FxTRF~f2ONrx~cC8t!cAt?wEsE#9D34SQi$S^=w}9 zbM?LB-53L}D-xBwd@P8a)F(n$C7bA`d}l{)|NMGS>+apVx#-C{&w`2XIAA%Vf}uG` zUSyUjyqVv96txr_TzqYK6E-V1o`n|Cd2Vp0y0_PQMwe-!IY?T{HL;}@l1B_o7O9)rMKAx;7dE-(CIW+g~gm_f+^fbT5ME$$mQ zg@8C#Iq@TAk@C9D%}w$KkZzbqVQ3cO z@e12mz3n^(Ha38k^7;Du@|re)RGq$D6{JenY()X=Tkf9$m)e|L9IFnpf@6#4x`}2y zEMW@`lWVzxR`>NTVoaXsE1ddz4Z09{VbUonCxrlVEev?L+pD5yKoM7LR)zk#T#`H_5)|h_f$|9=4oI-TFV6L%)mXprXx1`E-0@u|M@K z0Z=qRb8skni@y~h)UVyR;oUkmreySIIz|;muX%>zHC`Q0ubhfH6X0=~1Ydfda0taP z{$aYb6xGll=JYVM6Sc4UxJ7sFe{BusZeBpT4od#<@o|pEpz#t5z{i4X18Pwzpy-c{ zl;+(`$eUAdwyt*V%GC0Ch2)VwKU(SuTC+8+HK!0uPgSlSK#CLtY&VTbQ)79A6yf(o ze9q)qyPT;>CmU9Eo%LF4QzqabobUg`L$Y=K#3R7DO8`@M@Pt!}D4Lp@ zroqRUy6q}iT`B#*(E%yC(y0SDo-v2>nA17md93aD2U79Isl6WYGmDl>=f-M93J-}D zm7*60bAMmgp?j`tpjZ+t0PMuHTzBx(sgP4r`3IKcR|g--R%@Ta*BRDLreKv^IOYm) zcH=Ydv-Be}>t;?SEdc0dEiU#289xj9bf>komD3C$JAj{%%SYhY_6pBU)F^5mgF!7} zjT3Q}O%Z>>ce;cR4ocSz4q9_o=*w;(Mt>`G{Lrq?SKmypR)v3jyM+YIA5{G?O>cxe7=i_EA_o1&!b4pSh(;oRC>lQr7DTV3_ zy)=Ou30F@DTlc))Lrk)GwFkOAiIl6BB_gU<^%g!KD(wy0IZkL){hZ-_9ul9F^c2)m zkvI5@OIHjH4Hle9RVFM5q5TSoI zA|W3vudLy*r~M?As%i+Mdv8ztLoMkMDENxTMvII90wi7NS98+L-e3r3A}A<04Imz+ zfD0U2)|YCqgkz(@Zvj!oycdYGvxet=NC#Ha!<$Wkhfu;+fwVBy`3zw?>--5S>22}StE$ytYo<)r1FxF` z0-t|Aqzt?@I^Z5ikQBUL-y1a7^5K!w>Ea1T<9RTmNq6TolY@3`YCpIs%5_Lx>>3S? zmNUN(p!2|n1APS*&Cmhu<1C=VF^+Ho)@ewH)3Z!|jg!*bJ<9L+b!JH;*Kovv=RMl{Ljc+|Dx0``qQcs3BH9rED?LmQ@wmZKjW4OM)PR@5-k7XLs zo8tW#ANCD47;POXhRf8P_s>3kKlRrkp{1qWI`z1LS3MUbb#dGuY}mUK*R;*MJX&jT z{j08jF3Mu;|-1P640<`)&wuN*wtoDai;D2|$KFpV0*C(rOe?zHOi0b55xN z@02)GiaD7H_67gBm>w14xPIuy`|OT`x6L-l&j;G_=P zwH!xJIZO+6(DrE}tyYrWgA;{kk6@-B4XObmf_1wluVR}G+py~c-*q;q2HyH>!YCu# z+{QmUHNOL;R#!xx$Cb5#N3_XMzau{r_g2c0@rN>i=){bT@W66_=H$y4xAAm8oaY=} zj_i%}kwo09x7{2E?7FX8!M26L7>`o`!j5j(E7i1W!>U@|Y>lf7VxlY|QhOVbc|`7IBg5blp5RdKTJa zX+YS4wbwd*o2lJferyVJajGXn;DOu|2#`jlI;2HJ;%aJY46$)~m`1&RE9m*j{K!0I zU~mZlR29+Ff98}zDHiZkRj%Pz-%7ncYMD};MT1i#^_MC??4_4&R6NYKi6>Q0oStqZ zh70=sPHXG}voSW6jokk^YWR1TEePyr$;%$*9tZS%QH<)(UtN0@_v$j1mBaVY(#HocmFSe{SaW;Akh)IG%r9E4;PjLZO6)oKL8PF-3(J!P!dMOve2>|M1bYF3l&eOBW1cF~S3 z@F_i~>3$h!ggMkhXg^UyI%wtDyHlgg!>lwF#_@)!o7K7?`dI@>3ZP}LQeF|OzaITm zMdcQ#$j>g}F4fPjsjgl$QXu2Cr4J^j45U%O*xsCBF++e2!f6KrM;F^7pDHW6?8F7V z=Es5(qSUYm1Rfetx&U1w$SH8h450A=xd4zN07%t`1OlaNJrYy{03rMJ>(}e_CT85> z%-ZccsrI!$W7_JQROkyHozHc10XMQgX%DSTc4^$gz-~8{hkxMavSFSI>u4wEEVA^x@V^)t+AUEcG*{n?8W42YT9XnVD~PciSP8 z`}=O9j+3o#@CmMv*qsOVJuwvigThtt0nN}VKUDal+80k>7QK{p5%d^rlrs!X7Zg;K zrHQIH!w9^ZW#ncdvSFEv0~IaJ{8)={a)KOr#@y3bf|IavfR3_q=Lh|jS3Z!S^!>8> ze`y&xaS_>)5%9#@IeOCzr{VHq`|^{-J!w)2VsioIBcUj0@I)_+xaByPrhYG%VS(9v z_x7%13-=x!+b-qXW*QkiEuQ~d%9spHD4zg%vAL&a1usrgK$a-`a`qB2U}v(xx-c z2`F-!33CqSo14-;WB7Fg#h1mfBbx*loWSu~c9Bd>L)|uW#(p?OiRm_(ZaIL2a*+a|mp0lz?UEixlyMG6qu0IRzR~wm#b^MZ^>?I~0AY-w zr7ZW_VZ0PTkR-Yo6z;*IvQ-TS${Wtxw_CTUnO1tgr}!R5n&HR-S2NN?O;`H3OeiIgFYvN-*oKULAnH?dG*&w}1ot<}VCkiO1V9M; zqnoFu1OggB7o_`kU*OFnBQ?#pA{tj|540p3{404HGar; zH$yYn6@v0t%6RQ0ez6khgW(oncIm1VSZyLf+;6p{54Z5TwrD_(&cv(_LEgQ)1e_LA zVAKC}_#}3HFP<36{B`)LGk5Bfsys+QF*77m!xNn<5sUmbbMOBB?-dnaabPr9Jc%@- zdl{!akcp`h{rN^gE9KGu8x9933U=MHAEhVVZs~15$=@ahBpT z5fL>#{cA4<+_v88wYKTh_z@@;27Bdy_5Q}gCNtuJ?NcW_z}rw!Q(L-)1p_4S-JpsJ z4|C|{BkF65(EyEFc#wGfTQi`{PfC_9@o-GuSUNkwH|+f6Y7g5c2_mF8w5f5_8eUud zZ}&iq?kl6;qCf7#q8s+lLK7bEZl9_8+H?oBgxsn*JDlp}>o3YJ{1RsGB@o<3SA|HZ zjmCT+v);-JJht`6Px=cGA9NGDHs6!!;P3e<0p9z81Z0_2RyNT?28z?oV9LfYc9EZFmARaxg|6+hs%O`R*S_9f~!u6RrF=!TOABqgRgX%Cj z(x3lUnv=-XC&v5EH<&<)Fx7?dbelZPJr-ypeDVNZ1JaQ9A3j{V2^0{3wHdZc08(f# zFHyic5zYf{l#_!atIr>34$EwZI5B77(=ysHV2H}7DeceQfpasFy-r!>Fw!}7qptW~ zBjB`FyZM{4Z8T{Vkn;bBjNjy-TYPzQ;2{lsx1G!fE95f1aMW$FH8sEKY$~&ji(m;r zLviV*uyA>^*HT9`vH3{84tZ5MNQgK&0XsD&O(+@*3UolO_wwQ7fDOY$Q#)#BP9(r3 zctAJ$#D*HJw2JL5M){jgznH?*QtJah|5K*&qoKT=wuh;f8S~Y9^qIEq`tQ1pul4k^ ztV@87HX*W_doC^ph=YiP0we>p0CQ^oznULr)c}a}p#Czj=DimHxp2Sm*1A{B%PF}` z-L!X)O99ei;f07N0Cm4Ul0B2ssu9uFiz>i<$FDR=f5sJcOD3kQ}43}7VLJxH7gFd!dW;^|i#SEPJU zmbtuPYozAW_47IRlVE^mQ|5Ul(-Z*oJ)Y@Mqzs#wlX1v4fCxclo_=rt%7lX`l-Z3R z82G9oj0*yZmjTckqUO!g#O@=$wkk`^@xZ_{nt}o&+pwkFV*XOL88iglf!SSs^334U z^F5ap>^$4@gpEq<>+OKO8bBiZ^&g*{P+z}3oLeO;D|?xknCmx%&TxX3 z2%syggF>A}aHXW}l`Zyy28?@mwP&~QK`XU5@Fb~iTNuU%5m45}_raLr)U)YO0i9)8wD2lxyc8o0XHjCMi%2KzcO1Pz>> zcW!aIrs)4L(!u|61fM>XE%bgv`D#4-ec zDOr$1yM1PlH?AC5i_!-olVUB0ygp|EB{v>5mCtWzUhjh?hSx-P&;l>z-#1phDv&PY ze>glf+L5!0c$y;S?Bp?(5qw_TY_UmfRB5M^H5G*F6+@2>OfN1j0vSBea5S|G?1wN%XCs;qF4ozq-v;t&)=*WCu>7~u9p;~vFcwU1S_P4Xdx_GKk$8~Ayb?qIO-Uc-q zOV`+-Zd7m(n?@7+;~&V-6rW$e)ZmP4JjE%$T)%z$hHj)t4-TrSg7l%CRHi{>P1&(tWPR)vBl@H9fr#G@@(-ntEbS=+X*y zCN~DyfKm=XJVmuA;^54i!0;V2Knv$2>9|Q*$|HaIqQ1``@0$roVV|aozu)neEyytI z&W|ft8!zPmz^L^=raY(4tPl3X*6C8Ej>D|cBcBpESvqlJh!6U>1IqkJ-<{HVu9j%E zUA~t5B$WabNIxlhv1GPhps(}Ij8jfYNl9Nq1s`Z(Dgffmia#hwC=>8)AUN;f%sKtyzdye2W2qBibphZeo0$6atAt6#M=1hG@% zg))RI)2ACMII6?mhw1`md--qg#0}EnoI$AGpEoO%%`*otTuH~p)swhSoIy&@Z!)Gj@o=$*EJFiB* zGR3ab0Dcb}vhr_#YfW2@&el6As9zM{^qA0uG?%1~p#9 zs08Ofg01BAnC6d66Va;S2iXeGgfXc*=hs%#iCp2&4$U$ zZvh%o2dNzsX*iqrnkPZv1b!k7u#>aqf{L-6Zx*|rc@)bdz@~5rB2eTat8ew&O0i5&6yT@}PxL*-*=F~&XVXq)GXnPC*Q?uKK^S2YcBA$5$~c-n&a#B~ z?wu?gd^~kmd8uC_x1@B)ady~La@Y6z&WtNv%trwH$|$JD3r9zTIUAzW*U@>hdNLJ_r8v`foKYHW}Yd?#*C|VF!ze@uI|M}ThLdA_?qNzQKZ+SeSs*i6+LFA39<%KZQlcM za#q=(#g=;V5@(W-{Y7-n;EW;WLwB7GqfESz3=cbz!EZ(CzK9?x*y>NkXXGEmS^#)<9a9PDUflo{jt+yLeWioT|(NbXgwbF2*xR7xo~~PzRhd zK!_Jvg_=Mws-)+}V?fD9RRQ1*0Cb>N1`p6)TtMaqXb46NK%npMck=^q4-PT~;P;Ww z*l>>hk}L2DAVp|~Vd`3Hfe+u*(tiG{_zQf80GaFYS%e1yE5Ix=t#wD(!Y$s&19%j0 zWK!g)gl)phx88r?Yu(Gtb>6ek#@=A+6;^Bhsn%gb4 z6KY8h5oo&ZnlkD$S03nH#J!TAl$b5arXqvoZ-*}zqBt8eg*cu3j>JuRTQR?aIwq{^Q!yBE~dN0 z9+HO-#W8))i3dFlZ)^OWWEepF01sOENs2{7x8JmT!)A2RLwvKr%VU@xI)x254i7xt z>}3WW!5=}x+eIyB`?QN`$%qJIx{5&(S6Nud^b{y1r~Qk|JxCeyOEp~z^c0^f_280f zoO^2FWD$j;7hcSwc}!H)T{}UaFrc zWXa8PNitE(gQfB0mDmtn;rA{JfsIxtX^*yhN7$tCYJ(br)l|}Bre;aJVl4G7zZAV_ zpO2tZ1h*2)xhn|>VRZey)A$P}3;c!Y2X|xGOpju=&31k++Or=bzj?@wi0Dna%{KvB zhgIB>NTI$x(fBMwC}_HK_!xK_xm+pAXc39j8`~be68%_~!ZUC>WmiWySiiIW1&1WK zv0aC*7lU~Y{IiNL&2I~9_$NXx&{vG&Pv1sEDYJg0DkyJd@HBXnZubHCMCueq`q7z! zdSSzl{!!%o0%mOC!Te&gOw!4i{Lx9GIDey0bpaya!kOy#m`LHwWItH4rGL@I<%n(W ziO!1eS`%7zDSXW)K1Uxr#+z*AoEwihLA}s`UN!p2B=+fl_GtBN(uHF0`ZEd3onQTL zU^9`i4^z`}+=!-{1;i5v7OYvtm46#`ByLT8s1kBq*WT~K3~^L&QD*GjHBqP=L@lQW z9Q;<=nyQZ8Tk0U7Vx`jXd05j)J9a;Ch3ynEWQJE`>BDyJxp#Fn9Q6ezfRP@@3WuWI zibiJzyBhqm+x~qbh;pnW_petcgSOYTuMdb7vI%PhCw9G4x#F58cX5j9yYAL2y3wfBJGnPl-2h6e;xPbu?F-sW(EdEq++?& zn`I;24%cGEbsCxlpN#;l&k+EJNEcb4ds~H|2Bm#uSiLUrSnAlWAP9O3lng=j&MXKQ z=;4!Z-CRRF0yS$L8>YzW1T%Cuk9Xnd6W8u8L-gLjFvRy{J!hiUor_1W_(6TEqVGyU z)E_)DSdJ?>Wr--6sjqwAL(zVhZx1iW~JYOsyAuRhh>N!^kJ_Z)`* z@f-z?DY@VM{m}r-Cm|t8u6+?R3I&`9czb$!aGV1!f4|!+pdW~Gf3z4hmpH)zmW$6C zG;eW!wi8US+d|3@B(bmE;>baJ8lv&2m!;2H=0Y3=_w~hZaK+#H_3m?DvCAy_vAaF> zkUm*dhXaanLw;u{hmw$xFcc!@_@oyoe7tsM)&D++!=V@eah0d10bbjaPpX|}K#H6- zu>w}%K?<}gsBO?nXI5;@+a&yhcicN42Q~9Pq4CLXvK*3NabN`7ncx=XhJ!3@6&`{;& z%WT;SY9Lxz0X)UtVlqNdKpg7KTulax`mj$z$7g)yrY6V_T>{t%dwh?0v7L*0C)bg97EzPz!Eie|r@ z5B!!7ih69oYh!~_W=&s*;VTjypgzbA1WM&#$=Pq-{P|Z4w|o~s*V7qhOEYsr_%$a- zS3k-jRnmPHuOe#^tm%Fm_mDM96z-7@q1=#I;@PveZF1Y~K;#Mtt%d2>I{)+Le;drA z)*6IdDx2(?E*r@hrTEBr9)n{R5pe}i1O9Z9lD`&yOdjI2+_eO?JlvX?cJG(L0~uV3 zfn}DqwnUO-@cqc(Nt}c=X$exHCQb}udDja@+P>zI;d zm^Zh`g-^GbMc1a;Vt3}yd9N8VWwrBCJHy@g{1{OSfL;7V zNl$J{>D@P-aiWC{EzQf`y5(+5L6^<~fuK|{m2oC-h2-vxnS14-qOkE;+)8bgd90V} zUz#MFrNBj7z3Z7NWwf z>hpRcdeF z8`w1OT;h4&XMFGX*BQfc#@dT}-7)Vuuj@AhA*J*7{d*3VN|+6OS&eSjEC@^6wVS$z z$VezR(F3;{JIK&@bY$e!exCxd1d78m6$XP>j?T~5&gW{SBfp?V+K7gTptA0^9v;t( zT6G=u#NJhmWbFu~H-Jj|ivd$s4TFMYpQ@5jlrtSQYOdKIy^YoSG- zmS>&ZaU#|AJ9oP?!FP$wFeRyiQYT78gJ|ADAxZRXVqApvovN1MsQ0cl2o^$&8OYCE z4jCIWDpa=q2_hxrrDv+oJIzzoIYtGEq%GXzsp!%wbk0mv?zHw2sjqSe6x zt`<8HCIE8xY9V9QYZ79$6>mB`lxI(|{s`+!we%Jj=qJicSt3P`SC4<1w(Gc#p(NrZ zHXxR=YnSWqS&qZ%)|jo{p1*eFr&R-{R?%fFg|S=OHgzf`THX6FzCO?J$Od9!L9||9gB|t$ScL$)1D?|v z5|HwMMYKue3hriPxI>2ooA8O}9PL^9RWF+a!#TC;uMR#3DIWa2pyoX*Jv_B7iTv>s z)J)b)Q1aUc;6=AUl^kXA0mvHY(|MBU_r`Uqy}D23Z|0123a0UP6?eHA#aR_Q^O2ZK+P2^L zZvfK02M$Fj`8-~|$vj1*6FFV~n~j6FuDEX#)Cy2kIVUSSy3n{C<8^*m*qqjbY-xRg zxwSAV=+_nLAH(lA_vaHF4T@MKS%{kysz=<6omj( zs#A9NDc%ll#n$Fs@ak?ZhfQLlg7+;#g3934_HV}WK}2!7e{zcj#VBs$u9emc3K3kd zjMI%OV*FRUfLB-mu>`+3swFh z%0b=#VeMFWkvD4!mXoxXH7_;$g*Et9-^1%|N*xDGW9=tia3$zl`g;$XO}^|ayu_dP=-vuR zN&=O#R(@@{g0(({tscqdv00f@x!ZR0*kv z)?hl@&wY%2U|`VsG1j1UZyS4pM6jHz0^h1+%CV1W;H`!@!*E|~6wRX(CofBsJl&=k zts>zLeYX;yTir&`*q(E1@Z7)cMq_y&g_`b3HNZE5%iV$Z+TATJ&#lcN+w!S5$`^Tf zCSiSEkdYaIU2OByKHU0xps*9d^7Hkfp3K`ZyeQ7LPXgmP%J06OCQ2gH^g53JZl?E~ zbV4Lzd-Rqi>ub6?A*HebTT_D)ySXguEf1W)0=Rg_UZ4>jX$K8I=wd z3@sJE1fO2Qy$EEByG#tyn2n6X)%qYDew&l89#3)tn}`#fjOnLL79QIPv#_ z?n8|hsFTIjJ|Y{!whcFXC=iL*$jkAwc1JCCxZTmskKqokAK-GDeqG?dio*(hG$=J3 z4JMqd*FM3ucQV(NX|Kw~(zl2OSP|rfVN_j~pNXphb9TfMvAJ%FY(L!(!N_i|(KXYS zqnvLvo_fP(dhdW9?^Sek6KH;2A+>L{elO7&?(uir%uh~7Q{Yihu=GT4@9x~2cAB_+ z*5;lI>)uey)^-AOr%w{)iowYs0wVnrv0a3QQJSylBQNrTV}PR}YweZ$k-#S}#TNbn z!SBpvPr*XNf}9g3Qklr6VbaJhGalFnAs5taR`{#h!)3V&tMYqZ57=qoxrn&dVPufA zqZQbAqAnkwrJ6G-&x=4d?syQ5N;%!Z4)<1^^dE!&kP@#ofQl6Lbxr82v-voBvUzG8 zC;YY90uK^OL6E72(ppBUx1`vpYr4fVI&eNtCtrbE#gBptIcuJ@?1pPv`7iKg(6n2# zigmv4e1d;{Aw_pj+&Kuj{WtGHkpW&PsKP1rF7tvKrQBzVVA-z5W<(Nlsz18A%)fWGP4&mCLv87+*{mJgAu=J2<${8Nkv{{_Do#(OddpRong z!I_I&Jq#-RCCK^_T?GL#Ja{52uV#Yn za4Wbay0_y|fuN0iEmWO>h@~Yx5N6GQ*-pmn*Xpkbc%JDj8*=QTk@$~qYJfNo;&(=> z`xixt|xN8`dm1DTqGLm?@2!hV3m9{2- z5BJ=Q88ou{#M!Qc8wcI7M!>A_Nclm%CQ^w9I}i98>IBI{xk)c&adY(xgn$Xi<<-91 zp=!IO>91U^`Jp&dvjhHp<~3OZdXG_PkOID zQk?Q>teGE?rc++$Dq=7cR6S|yA~`lGueBeV^}g+Z_(mSCy-@z;n|}#DVp`49g^w2= z$+qmrfv;+$xiWZj3=)W-{BDREIDFS&jGpS`5_$H`>H6Lcy#5kvCgcl2Er8jvU5Hov zYXGZ^d)!9O<(6x_oR9Zv`UUmtr1!pocFVQXB@ zCop0@t;VNiSrxe?8V;)HNJ!w}3Vx;E#I|syLcy`A&(P;CtRLOntqT{qv!*)5zHZy= z;4MGyPMn1gcWpB%~h*DO2|hm;V^d*rR4LWY813QzPfXVX%#PHQ@r?lfqtd)Dz5f0 zncmRzb&c1qd*+|?H--=DmmCYXtTm~@0M=gP%)qr7`uW#)KsUB=Un-CyIk|pbx*t_Y z)}XF_btgLizzee)Y)>|})h3OTwur70q6EmK$>^5c2jn84dk>h1Kn^r^>1U$tGGKM3 zzJNYaH_G)q#GpD&e-qpv;=vA6_6r2gH&9CyQY(3Gk-!j{=}cZ2CygA18ri{0bTm@A z?8BUWU@P9UXJ>GqbVYB56zyGax6usSapu4EeVMaSaO)gyQZX27x!FK!!{$Q_OM3EP zcO|2!=+6yW)@r%UXpB!@_G8$|U|GA(1*y#qN&Fdpzu1K7{g@B13Cch#y6a9=7>8k8muVbMkbn7)XRIW`oyBeYU^nzVJhJQ!Jo30A z(VGJcNdjVu^?T25qTyCKy!y9P!8{}rp20=IDSWwZ_$qB&s(i-p>2xhO)YrSa5wO{{BgU%aOxz_?iSYUsbVr;yB zm0)ByEppz`hD^iFm2ts&ZOmiAPW+@|a(_f{t~jBOTomy*osG*z(#qk<2KV|8=YMW% z!Jlt&;lB}`1^>bpDpG);EVx|Lwp>G9qbW34bDU|a8RKE1$Ie0qWy4FHpSs!8{4Jib z%}*v-OK<*CWgybKT*jp)Aaz2{FsiZKI*ca?4LM#pP4N{5Q{5i7#cWKWA$eDPTCy%LN0B5_J1MTDm_ajP*ZCY6DUZ8tse}#9~8`Vg`seX zS?H=KQcjY+JxFl{X0-Ib4={Dnt8$6S%v|n;Uwz=d0LSXvL&snp!(f3gE}sexyo45yys$oWN3w$ZfHH6C^j#sq&LR%^btv9N(9(COyGg4P!;xWhg^kuEo;mlQjfB z6Dz$yO?m(5W+Oq0vNdd_894m@B5KPUjrH+A9H%G-67$|hp3iv^kthllNz67n)e&;$ ziF)?dAg}*pz7StKLHR$r))saAN^iTIUV{qyisWNZs4NN_P=DbXesn7Rpw_8zWIXJ= zU2h@I*n^fvNNAqCKAk-W`#6+#$x}ukwesqf{p4vZZ?wQ{HOsBqcRJ%Omrotf6)(<% zXG=MZZMa@+^Jf*ZTcW4xZduHfm%e?Jr$wl<^BcAMdy%pz}f3NFg(+Lr>oOAXD()D9&>l!ILBhnKB+#v;hx4HH!>)&+F2 z_ggxvbFgL{QS`dy!O0n4zIHz|oV#;zgMK-roXjvx01uo|Pe-fbO(LHyb;vyWMk1n| z6I3I=yheK_D~jB*^8)J)Rg6d#sh<<+R;{H@a%y5dmFs#jC9k4j+J6&bwhB| zW0Y@djApxfH3U9r(ZzpvRmCj}RHSs#-ZgG!=b&dyifb4s;cXG*+Q}L>90#h~2@;Yq z__pZhWc-5V6N8Am85{A`d(=QF_^ez?)rBCn9Yyzp`XKy|yYJpJ9Fr`g^N@1gEkV&W zRMq-5QVc2T;y!Z9c96YXPor9C#>6?_{{(RZmg)(*HxKa0qTkVNr zls-N_@YCg66Jd9A%S!f}oFO;S^nIiW5JA}W;zseBjNstN*a4#@X027;Dce1)>*LGe zWwb=9&pQn3pWBaR2TUH4nxOp*ea#n6tv>kgR`(ULvTy1%laZ0l{Z|FCvWY~_Zhh~z z!|2^um5T4yHY2mu)$E(c; z4R2 zpySLPxZzn=@2t<6I9njMJp*h1B^OpLcR2_#$>*Jfe=FW`33jy0>94UK5{0x%yqIl@ zW)Rle?c=%XuW#fwW4mQILg@3@Muo@sI+WACl4}ae6{%wCgn~zCJBgFXd_2^~^#)~- z%F|I!%c4SWNDs`1An4ZY3~7Rf_nVPltr(zNm5KM5k41(i|=|QD~COxtcc?PTO|gAku*g9iU&h8 z&pU<>_b-R?gh|v)uHIqWPLoQKN>)MK44J#-5ExVmCmog)zDhLIZh_xGyqnz{8Sb)4 z{#KoCrkB8aJBAqTns1-7;QN;pqFB2*&W5ChAt;v+UDIL}Ut+($r$6KcMG3yr;f6RN zlQ>zg3b;h9H0OvSX5XhDqnS}6N%XmFDjE58jfSp8zsh;$|j~od33HWim(g=Q&xP`e_iVZoZ%S za^pkvKP+SS@=@g(_gXXMW-Z2B+VgvQ0AT<=%-Jp(9A^EuDgg$xA&xMC6SZxUWA>`T z=H}$?O$&-+%lM@e1mmvypknwq#x80G|4r}9>s&grkSJA_R6Z6{t4(aE`RcWPVxh6o zTw2l9C}4Nb3pdhCqbiMG2QIvC5n`iHG`?)?JYAyr)M2O`-S{`d!6x@%y79;b_Px5x zEnQo$kI-fPe+@{Hu7@%XYT2hZW0pQ5DP_;^CRzkJR|bJ~j~CX|0O|dk4<5Xc2oxRL zSJ!o$-G3&2vdrm;fSH~>sdvqV{RG>Bx)9yS#X;)Q@?3h0<|0aWshNn~1EhFR^mgBL zH*RgDdXanJ7RWf-rLp#sgf6*-OI>n@?Ju}e`Wt9jN5OV66R%Kv?3Lhq0T%;TX<69| z!NU_W7Rs33`C4YXtP9`j5Vi3*3hmjVZE|bCT-G242Q8w%&u24U?(%=RH zq20|T$68zo!bm#Ywe*)tQk8bZbJ3q7gq@#RwrV`h&b!RrQ_uQ)ZH68H^P?G2B(god z{nx%hZ<}Fdr^zaVwXXYge=3(RX`U)92WJSJ3!jz~AIO@#amrv%;-c(4Ifek%WH6m2fOY{QC>Z z{+4i@xOGWOe+qr3iA)j#8wbFEQ;|wxHO>H!)oqFzWW62S#VT-^M|y41ko7IsJ@Nx1 z$v4vipahcL-mGV$uY;ibYeRs-&)tW8{JNo`>YYV~3LEW2Fm&pYa zhshdMV5yY}zW1UUJ_OYdolzLuWtwkGoY9TazBHSPoEE=c$b+be;W1 zCVQF6;>OXr@}c9i-9sdJ+cHM!03XE-pkWM1N^Wl_s?>UYd1$=qo{NsMoViw{cluXd4o8k{DZN6%HXU)@zHfPIFrrC+YNKHuHbwXJS?)~6qA%rNYU?U2T{ix^zV-j9TO5}Yz4gwy}v z7$AIon%+Cz(8K*LbpOy<2%}t7urKMZq+hSFg~2o2LYUTzORi?rc(VeG-TW zal$@)kUAw_Wc~iT585I4(+7-QaU5%8sWaq!Hk}L=6|Q6 zt^_N=F0I2B{JY-gt670lv&+`@mXP%~r$-e{y-(Cetd{M>5ev4?x8FgN6xJe@koB@=xSbc8`K0KgV7%! zo@n;UP|2e0#P{^{MCj#0DnFbn&Aot zwlGQ@x$4XxR?cCx-0q?XSUX5(+T$A`s(Erdf~;>5*k`{!+fn3>uCLuDhFuu*M1OXbYY#T^ps5e?_)+%-zP&x2gT9gH-K}S`ip65^A^V;VLW7W3 zzB2;Z{4crtZZFAIQD_;pw^3nnF>WOxfBx;<23>;W2bIgFQ2aYhMrRXN?q9f@G%0%s zmNa3rb_T%3gXW!lr3y=Na4^GLrlB(~p1GjBNWpPE;Y(c5L-n#va5(DcZ#AF{f}`>* z{fNVqypA@IZ&?t4TFF&6G?%j-vupb~Bwo7Wwv1I!Pyk@%Jq?ZT=VSF6{uUIUyknh} z3^>j_^2iBN@%eH3ri|@uWVHgvQFuyml+A`S+vrdw|I0_Wzp5DEn;*34jiNBDc!vxQ zWUKp~dA~03@`eM*Be8aW$+l{Dxe~-u3HLK~|K;Q7*DUGMG#}@qOLYqA8-eE0P;Mxw zw^0Bh;Mjj6*Sw9*9kE-7*0OlFGKSkB6XB5RD1N|vo0W}ig?5}7JPAntT@oiNmxP#8 zR;OC$Ohv(((!Y29ctCw|*jOBv(jz{ki2Ue4S-p+*_6mk#B$F=!8hZ0tc?7MItyQ0P z&0nk5yILDuI6rGGYRz`F&i+8fh7se|?Bb}Q``ZLh#&b8`F6lzH8ir~7vM z<2@`h|0UH0hVk=~2`V*iJkcy$=9#@REYfxAHRq>)51)q8tjThhBVO6&w_AF$7*bq0 zIMq7k4n0Z9$RrlB3%5{*2j&{_&vf>F^Rs%ou&59yHm^^ByoO{Amm`7@HrBAyUrrQ+ zi+?IK5B+NGr`h$qTJDCHK-mG)taqq+%6X2P3Rz`;)kl3>PbPz_cA|Kk488WQoMV>i z^s?zlxB@(5KS~$ zA=-pcbJ01>fUZENK(_UJ%JbB`7AryY{{#_Cxd#l#s?Cf1Lc~_TOMg%wMy?{?I1&0H zaH9&O78!^Sr25~jm{c^CHE!qC9<;&*=Le`9dmh2#LnC(M_BJh%$0z;lk!sk^WBa=u zYzxshTp^S3W`gzJhT? z&mdE}lPV($Rh#st`aHR`^I7E>-gmmCHmsTXbG=Vn(79rcV9FH)hD$rMTmW8S!`)bkC0qr-8v z`D|LePE5Vg_+G@WX_=hZNl~WK+7tzgK!0NbN#TXocgN#dI%~_AVr1sr*>K`X@lOq8 zIJ&d{3CTLRdCw-tCxY7@@x-u^t(T~o=Li?QC zT|Gj_3F8<#lU25+X5<>T6}q^S!it2B@=34FiVGieQKVud&+qc;aZM5<3*3It;#8Fl#61$H4dgVeD1C#ABd^Wrp0?MoGcYB5z{N^EXT9#Ve2B z*Va?Gs)Prqtnk0(4Bb*g7dnTbVQ5pACH^rl8X!UJ;&tB)6SKJWhCc7Fv2JZ4Ik{_- zAU2nmR>U7^JL(H?1GqSNV77q@8#vQ%-MxFIToNfORzzz?M{PDLKR$SkU-u$eWuoDL zUPuaki@ed!w%n|AVB33#G_*99>d&Q+->heDJ?WzYlPBN@KZ5XCr1qpYO8p1$zd!*s zF(s>kXq1%FUepR}#?)8w7&V%YG2u;ikC*)d69Wh9N8e>rXk?}h zxax%q{=Us1l+$NW+K~vKfsPju;eKaxp{RAF6V?Gmr0UX|&v`=8ThJkGUt(SYAys%1V$}d+d;^Z0$zK zOOZTQ>Q!;RQ)pAj$lg-PE$?pz116s4%3pd$DQxv!qI^@!c`J{terbUGaSG&*)AKYJ z#ug?M@>qWJ#c1-!HI|KPezjB-RnQG32`8T_3Ra}@x^o#Ag+H?BJFmzjp_ebs^h*3? zkzMby(-fx^7D|ephN2q)W3DpX(fVM=-%atEc%%)8q%qK_=tvo4anD{ss4K@UXvKw> z@NCJDASCs}Lh3?vtfc__^hAlgMxn-OsW;k%zNYPxzY2T1Tsse4z)(?X90IP}dqeti zfx7cIO)xbe-VLsu_s}2r>^noUJWGnM4g!xrND%|!dOEn&5#kU~w0sgQ{vVdN2!g$~ zreqy8;N#&T8_Vy4nL=%GqIM<+jnXdcSF2!>3uB{Et#~Q)D|X!Ei;vw5vPDDUe)?cg z_vwIU10OJj3Pu`T%^vZNn+0JTSU_&Kxqs~4h|wb=C#iudcli$rm(s-U!$JTjIW&hr z5S@@a^MF>uNF< zpJnY%_6Xt<5nSt+9HKvcI^TQWT``;i-&IqPc+14+#G$7(?QR&4_$OWBl;q3dVD`h3 zwxY-#yZra`NLEhL(BD8;9NH*+uWK{{mDx>dZ=oOa=(rx98NEgZyjPCBrflWz=lN1$cR`EZ=UHc-8N8kISjc=)z z<^kUYJCpF^AFpC~b_AWLVpqHRG!QZ*a!*Idkc(8a<-|5xQ>3WqkHuZn=mxY)gP+XA zob2)3{bScFU2|apTb`L%z6N7-l4yQ@%%GZNxV{gnf;|kqz_C2a-W0`EfAlB=m}&gs zkTf|t|Ev$YYSR8=|M9919|9oV`xXR+&;gdD23||&_g;I^Z_pQ1lD5tbT?#X zfK1)fwUSJ4+%qF5T$Z@O4J}9+gcXJg?64r7IVV5HkMhE`KW&haDLF#6N$5jwPfw3G)uNOdKI-ZmP-+4ND0LMl}d*}Oo*!-u-^d=88NT0@@H=L5P$hsI0h< zcgo=p?RJk=k6!H_q~CT}c!a02>`Cg88X4&0HtmY< z7S{H6${Ff5f$G{Rl4K%qA?SDG;IVP$w26xu)PrFVcn)4dnDbBk#O*rn6Bj*0(vwAH zQ1&`Vj&9hTSlSwEROixb>^Gr-%nR%0U~B8`?~!a>&1^n*?%ksT#JdfIx&nFqov=T< z_1S55xpg7S?`&G*FMT$KUg>8cN?Gaf{lGF^TyjrJ>)DF?4YC%b0&$rOLQ<#STvcn6 zKG1^amqeM!VQ6)5l%$x=6L(Y7^P2k4XxTh5_~3H#+!_x~av61F&8=8{dY%@^_uWNw z`gA{FMAJ2!>B!Mz^ZPIV!t`bpCh-1RB~H4mg(wX{|52I$A8>ki3a$ESA;;YdywOR~=g(o?LR#Pc#UClai3#~~4Z{_I&_xI_D5yW~)f>S6}}d=yY!b)q1f+J>>r zPA(<#3Fw==NLx2|2EnN0y()9p@E z$hq17Zn<@b#a?b49~yf!L*}#&l(85b4h@&RN!aSwjhgPN-P5UuNC<+DxR)%)Ty44q zcbrAplQhG^-`}c6{|D65cms3iq&+STeB_Ax9<;u|ge~sO$jAUOfbm~NZnuFrIq}Lt ziEn9d?Tg=b-C&H23g)7*mig3zJ0s(M8IeFE>6}p=H~*6q#@QZMzb|Hi|G0M+H1w=%69khqU*;Ak{mt#mI@5cDZRK2-XhF zIXN8eo-_8C#tnqKwxNSUS!ct3Usi-HqV3MNaY%b*b)^IY-BoS{OW3c1b z+ke61iPYuwv{vtQ?Em6S*LUm;zVkedCzdcSUeH1&o z{#QT8oXl-bYr7{Li}UuO_dOUVh?AC%A2q&9)~}Kg1p)BEF6vO&ZtN-u-ESHhrE%Ss z-s*~oh|ZX6!8SM47u1%jy?^`dY0m| zNg*$w^VsRXw-*aG=$Sepr(L+kcc_WS&uVu`jC@B5zXtzq1yB-@lspVNcxf7$Y^&!-&#z1_e~VR{R~qvk9K zarkGJ>?$4HBW6mSc3q@PcNlMH-iA(()4lIX9YHXX;K|k~ST-G_t918n6J+4bJDKx< zV@#`#TwQw)jMHztV(U^lV`d|c!ZEeWbkTNtd~3Lp3cb*OP#+0_Et;TCa;S?l{4127 zlw$1~X?!zxrn|TW2Ou-4+HMWY;BvIw`cC&*%p00((JIh`Ui7BAT!s0`G-B>G+Su^_Br{Jerncmf>f&J z9?pQzH0RRD*aN7pmoX^Z50Rs8o~Wg}ZzfDN%lM5 zXZcBU>J&u9K+}(g&f3bG=O{@@uV?jiXR7lQ>F`y%Z#X2pIJ`~*?{P)_Deuf=HCw^< zA6q;ptNvuPN6poI%_R@p#)gLeYL8O29DNh`?V8IkSiVTOdOXo`^--<3OzEt5jc_2w zE+v+zUdQz!{$3-qW+c^n75gu~&>OE4u&>Y(iVIrhkdgf)CM2Xjb?U(?3h8Qhgxnxm z;*JglO)xOxI-rJs4IHxswKT}Egv?7NxV+u2oOz@FHc;o|%)ut5;Ma~Pf4HATq-0zq zh0Kym3&NUY}0R)!fmAKejsRc`=#CX+)m==+5GbJNyPHv zxvcE+$&;ssvXRz6FqL5e@mzNXK9){SObnl{0qy|yCZu690Ik|$_&DLE0dFL1J1R|d z^33Dll{yKD$&zEpV3j4kzqt2mhsAL5Fv;O#lHzDYT(`#=v4Eny9!CHeH?_x$-2d_r z__n{nAk3q#=keV^q@XRT-+hZWW!aK$w9h|B5U|qzsd7#-boT(^?Q{Y_DN4BEu??G#LCQfZV_BU zMof9`q~xfwXRLmP%P~8Xt-I1A`;2?imZi~siMBN@u);{|8Uo1>JE)a@R`J`!_NppR zfm#+x|BS>0LKw8tUcd3Gb8I!?LD?f?^hA`0L?;I&VblWD#Z6cp27POwJJcuD)K2(y z1__4`9fR8C4(FljYXtqh!x@Ac%$CI8)Em_q3FH%jg`F=cXXykSF((Us6h4lDI|C_ng8>p_hKJ+>s>Pg?SfcC%9Q%X zyB&KTl{7sSev_oar|UFtjQd~X^aZ_HYbw0Cp`K>FaIxBNUe2SMqwKJFS z9D0$!ND2Go!n64B*hI~o)cqmbTKhJ>QasFeCR|L`t3d5}k*g~F zdB7-3#;48~|4yRlNn2an${_6XQ=AKLgtcq-#Tnhs(>8NHuV!STZOP9a=hbuh%#l

6<4)r zQ8q7u>?$NTTY1|b@624H9rrBTw3#{S+H5)Q`Rl#HuzfSj+nAVRF-A6Bb_Wf8m6!O$ z-q~4*qxY-`1>^b5S!eqi3dV;YQe+(%pFrCf*sbWCKwl@RblCp8ED*yk2)$-|vifNA z;-y^p!|3=PZOr#L=c*u^>%_db)CN!2;STww?MqvgyI6-mS$AfIsa+x})l&}VGExza zxA*omea*p+RhD#NCh6_)Z~S+^24J|u`yS%A9Y|lh_TpFXNB#JL<5sM`{#jQi@h58u zayCBE!|GBmbGj<$yvP6)zHF_6=f1vp@H$>i3xF#I*BS*7&by=dkv~3|hfiSI{~ONL zywCG?tMV+>;Ar=f)Wf~t7c^YQFyJS`_M1d%FAb;{@L!60kpAWNI5V%z z+($*4g-x@;qFf%~#PQwcvu>9@j~Fj zBcMRDkN={9qi4Kxd`Ig`T-N>5{epzf2W)B2J!FGbCZ7&}rn;_|s7$;Lz`@F4PUMr_ zR||He6!Phl?mV5UnBI*s3Jxx>+>rUK-fKt-KI9NX@9n^k%CSgKz0jPV#g685=f({$ znH;gw4CFy=FBdl4i60`r{)f`6sXgIskEhp|@}1BZ-(@4>2R$UM{fD%xbHEC{x3`Bk z3zAi!rWd#~^-#}Fs>tWVrg=WrI>(uhJMC7!82)IlcGE$ow+BHPuax12@Ih}0i9;Um^n(QhLI%^&DmSYwcV)BCd z0%TPObNOKZxd1Z-4toj589~^j-8bf&`U^~cSr$Jj)aO5!Xnx^s970vsa^25i>i<;6!q!-k!E1;Trm=Aw5nUo- z*9#Jvc_&Hz6W>Xa1>qEelaKbAepU~Hp#1YijYTin(cwFr66|;l@fSm{UyDz9v-Y5B zqzZ#0DSM>4H83H<+kYk1znmD4p?5-qb>%X?s+d6HpAA6i+TliA)IgO0yC_oZM*p-k zu)Mr#KTI8CD~EseF@d20+dw=8wck@^iJObv=Wa*DM2`q~Pr8lUc0zwzus8rQjVRM4Fg!q2D+cOOmtcuk8o zYmci(;$k>Xm^IUA{u|t1r&L$WI$xFw#qmm|U8LXG&g{f(yIV@fcUzsgWsbv`4C>$w z9xpbvT(Jn)4jL+|8E*{6PDaW(z#tcTZaYXzOFtbP?TKqAHMExbo{{)KFrN1MzO?If zipp^Rr*ZX_`=<%LUc3eirJ?Fc{L$qSeJXx8#_S#9i)OP})v_f5IQv3KJL7`&WYZw| z0Wly0Oo4Jt4(Q|~FR6WcsF(hGE)F6)NJW}r#_C^k_soe;QhtCBFs}3>!v&jXEpq?# z^c$lC7w(6#No>E|&*5BLsa%SeJibCBTPQN&!!zx)#Jhg*na#|5ElR~x)}>KI#0yms z_{qNff)1s~4x%-=CUhjLmm2(gpG~O zz+>r3aDb!2eXT^-P-59_e=ja9aQK^zC$#M+DHp(@$uEqe*h#d(BV#m7=A3z}B z5A`6V!3(G&M=D)lxneT=y5dEG%N@~!1=o>4q%1Tbib*Jr9P$;h4_=%9C{@3Ow+D%J zFvh+H(I(+d3eR@F%Yt4Or)<4yQzwLJMmYSp-PbyXNBJ5`8vkVRm=f@^5t?y2ouPC& z)NLrIYA`KZmz{-{&j3>Rtb;4t3h_pMr{5Q@Dsd$x3FE_GNw)`!*vizThA*&hfb@8( zSJ(FA=g%R~_s!_?8J2Fxnhgx&=#ICXn}R8Xm(oIICvl^HjztWOCxqWa$>Cp zSSKfS*zY;vip~Wm*zB)#xJ*qyyRie6B1BAE>9SIy_6&(<>}U^I@nID^R$Q#q!TwbL z{A7_SsJ0TgxC50g0`S3+e9#_9cDA;+A!h4y+|#2L(cEvUzaxX!SP>vHy}7yNAvJez zb+H=Lb5C$K&CRC_N1Q(qeEvF#u`T>Ql!JhNc>``PUOP_j)6?gAvgn~IGrJLE$P2XP zN1$5B)+>Jl>j~myvSzv^JR*O5|9ZQDRWhHO@P_hU84tdc6;3C6#_U-Xudo1lBGYOZ ziL-!9E#is+%|s6UUY^4J(;7?CEx}9_kVZIxaWf@=FOIe%QxJYw~O6>CPIkt@aVo-J^ePxWbn7{`v=yp%l9tJUhqy!>p5%_-8D` zs*@V_;T>H?oW;w*ffCh9EgSAVm$RoIU!CN~{JelUVUNrs`l)dIk&nS;hIg`hzCLOS z4egUmehI`jVvQ+jX&IT-^|wtAV9|usO1*OQEteX-(Df=fuTntG<1Vq$(J{hiW61nR z;JB-51Xsa*fj-G3Hc6)tSgnqmi`tNswR0@&(k*Owz)9A}@@QoA4&GqUu87rRdL7ZP zC{Ns(7C8z-@{#~-5DTvi`c!8i)ib5!6SF>C<9f)->04_nNY!5J<7ka`;2_{|yEL!f z;Kk>ddk7y!H2IE^^&n*|=*arT!p8?IA-zdbvs|3G;yLw$nuwCM9aQUZ+>!xfEg+y@ z_UZDiF4NuwugB=v_ZsyC`$f{;$~?m(e?)C7HP#tp>~f{>-&v2>M~qn=Uc!g@pv*7x zP3F?2xi@{#>Wwz64w_txSahF*+z&{6IN)*&A<`d)JZ^(^T$TL+tqHEXAu zD!riNhU`l-dOX3Zo5#CG+zDz@_%Ry!v%H=X-%fQBBsShS@%JmnknLr8J_CsTon*;q zI6(CrJOSu5>m&)|#|WK0@ZfZVl*cJ1rnbd_LYDiv$hpcqdvBS2X3;flxLeP2#0!Z@ zWSDSYJy^J-Nh1^+p#TGYt)Abd4-`qHjj@sH4fP~4 z!|!zi1Y>N*+En}(yOE&^=zx2!VU6duDYQC52t@Fc97%>h({EBjux^vLhK$MhInfV! z=D!Tt)NJ@O%6-lWC{$mksl7n)AZ}s3_{yjH;>39R&?&3y@BuP$n_qObj>k)#! zODz7#!*6n+O8i2#lPJyP_f@l(i+2it4(5p4YMLrwI+pA#nOuXlN*-AKssB6B`Y_Ox z6g8ebzW{naHZL>FU-hIK`Lvm{N~6YRwmxA=-T#NLw+zdw>()R)6p%DPP)bxnS~?^I z0Tt&3HTt~tlJYmg)5 zaZbOIYv6W{8wCs-K$clgkCH}##p5UzZHvCXkRI}}Ju51cZA?xx;!u2xdf#KssTA9d zD!L3MM|$DTP!68WbtV-@wPwNi zqMTsMUB#^T;oI33M5J$6g`=V{EAJC7>YlGZe+G)ZS~5B1_rFwg5ta}ZDe#?eHcF&+ zUnX^)m&=5z7-rs2eriS@mOi26W(d1mV{9BFUtnP@59?N(s8Z3it1ia5b4c7eOzV)2 z29KFH)b6yiasiEd271+$Q4U0zd=MIMzdhH~wbG z&AZXVN}1P{a%QzfetazWFk5e;lmHh6Q7tK9|njjdL%O~wHzXV)HFuf!aOK_9ue>-oF|*{QzqX^VJ41{nnz%2;gRrW|aoVMLHGQu{z&L9amURFD zMKeM#LU57gHp*JiJ;3W|eD%n24iCm)$=3gzIi*~Y4%4$vFEru`dZvCUleWOi#`94b zphm(nJXju3E8%C)R2Sla4^njmZh`n3T$=KU;Cw;}nq&+|?Gt8qZHye(`Tyzn%Z4MiH@ zB3;iHmD#6b6f{%uL96AO1^nR-UTqO9Bqs=fB_q&M{j+hyhS)6_T0J zP!X!!ZFrPG`WsW$iEdbE*{m7I+^O=j$hneBNjfh|s8>jsbSvUkMoX_=zy28BLSraZ z;ld^iFNnTpfXS>`@I^IChe@-b^?L^iycIu(kFB&P<*OXmR&+$7i{I)5yX7ED10Myt z?h(gf%Oi+NfWjIk#mPbnt@-iDi?C?fs|p{t5-H-EnNw^(kx&WtyfLvZuXd>6^A6Nq zUfKPrjd}|$6Gtlk9NJYnnLmJfeQYyEc4|0RkY*e7H(ahdpdbJ_f!zLfS_Ymqj=JkTnB$=gy&@s14(%65N4rOuH_D14#_f=D4!t zwZ+J!8UUt*KyYvXC@~NNT8FTM@ZjMufBqa%Sp|DABy`ci?g0M+23DZWjg<=^cnQe; zqLyQI#(DpebafXR?Vp$B!=fTeY>=9+w-eNvNO=`Yp?wVvO3C|cRTxLmDME^2sY-_e zk-xHl?8an3E$Lh1qw(YO0)m7^dHhzyoV02++W z9n=E~26qcHW5R$ngogzqI{%7H8-DrQ=_uLP9gV?`h zv4ZJ727ju`2T;)W$%Wkv-#)Qrg%nstKm|4{k09Hp{3%g5F`E}k>qGkrx}H+(y^--r zbWVmwmJnk$QeX)0Ku$M@*U>r_79nNb=xBLE2O|?#uFWWQ-*Ve|Fr^FUNjQEsy4~28 zUKmq(f+c*PV1_2L_|J5|$OBp?vI`AUn6;#5GY+Rw`khR2x||!;0>5(C zG<&+`K9~=pM!LsyHAsEN|DS1?pijBywH66@~_1{IDvVV934WEO0dJFBgM(Cev0>Wf@0mq8{ z3#SMDm1=p$_(1f#gDmHvq@?QMb>qC6-{dZH^6#c22eLFl&EX_4y(@ou@iTZlon&jGjG&=6<;@s9_ ztw8dU^8Y-*jf(G!Sj*ySS`v!Ht!lF*+xV?badCV1r{lLB6ZV<|68*-&$bQRJzxTQ= z&Rv{C_SNiIVRlbcd7XcF%#-JTMqfeY_<*dZxyuOs6FtuN&CSogFJJC~l9N$K z6?L6#$LQW^sxMJwjd)V*Rqe7-Nd+$p;xDBQ>z_<08k4=5lQsT+pJd|-v5UH zkQDKrCi!z2K13ekNa9?ZU3bU$u?tnB84_zYjgoQ36~%)VvmhHeoAKDz7VL{f_`Afx zyz2MuOh#@6E#sO-F|kjfhs3^z|F={p=-H6-Vz!Fm|D6}NXT3N77;rydGQA_G&QI~l z=~qNwY1lU0za#kfsYYKtxC&=CKKmQ?bvd`Sj+G7@sk{dvEa@)?EsUXAL}CL?Id4=P z?`UciT1h{6{odg*;NqTfZ_7ReE&k(?mjM}HU6%RQRR_(WTEX&pv^FshfCO zUrx56(8Kr>$832nmjTW?Bn@2XcuTRzj0-rKQ&Ju)@?nMc%cY#J6_PJ{zZs|3o)g%8 z(Z6Q+R1-j|2M2?<&?L648oI@XCub(fZ)2Ec+{BFx4G8l>V<0`k+lp^^7mS;bgXjqJYyNIFJkbGEb=Scd?+lad@M0}ccgdae(&;gOdhJKx!g>%>X#Qd zO*_5M68w$4C{g9Q1ll>MBQvEcyTZ|`qKfwg^j#Ir_}MFo@Ajg>3fE<`>s8&|k>dc} zO)&5DC8wy>2ciFe=zoCgVA#t1{9_T3D&kY*d+krA$8q%y=@w7zBD2?;&pTdLA9h|Z zL^aXh7spt|Y@HV#pRXxSq7M&OV%g(1Y7P&w$)v|=DWuBkvWv17@T{-A8kN-HeM$hT zhlm?VsG5&62yjxy}F*AlrSh>WrJ&q45@o4Z-*EK{S-B@N8P{%+5?BBCw z9u!w6Zme~$EmjnWt8NRJm|m&Pt(Dr}>EuDP$6o%mHI{SU?SjDfB}S-JpxetfYPsfl zvTt$@gO%b%)?fNMA`#c{PsAtIdspVB^}m`eFYR4Z6T%FV@l|DetAmpf$X^0QR$3I` z7$_7}$ z4hi0|L&ak{K%GN$R1H+}XlHeG!`tFNF;nb{8AJ5!AF;Q-_1<2RmDfWxuC>_du>>|~ z>y6yN?&2?Dhu`TWr8ztT4 zHvOp+lZyi-@OdQI&3o%y1?Ve;1v$fPH2jVHTL;&7lxz1RioT7^k$ENuGp0v-9WUx0 zE$W`0n*as!4Co(F#96powyBTb@kH|g33d?k-=b6YZs+Tfvwi(RU z26y<{KZCzqTfBA47O--1VV&&@+A3K(($J1us=Y^wgrO@kR&{#pN_=q`q-_#_b7t!+ zb8P|-0*2Boj7Z|)M7NdVbe&lDCt#a*2_CvW%=6npVvgdFIC2YC)2f{FO#&;|2guiU zMzlcTZn!nq1tS)quQ!C96+XRMg1<{iQl7~3sitOzjb}AbJaK06QFf^I^=d3CG&ZLd zEjU2y;Z#$xnw>7X{q$hh(Y{`y>Nlefu^F**v3XIs`Bn393(cT&UKLon5@PFo*oy>V zj=lvamcopFm)ctaSC*8Nyh=h6sFH33YF#+zyVF%!p%Cv}+(ug(%70V;h9nOtYna*f z5FsixePMfBG7b(bZz57$>@}MZ=KEyO$btSC9KX|`YAm1PlFZ#|)yNC& z>Gnq(>C3-(Jk0ecg4hk*hUGE16zz5mPPOBMfrU}TwL`D7J92*uX;XSnzNsD^KKts6 z-afHS2`x1@h3kUpf~VhWTZqK6EOM&gW7tW zTiiF7?jS-rOTUVaN4#+FbhE$3Mp#pN&D3+AiPxJ$dk1=D48|)^8^viB7sr*Ggblnf z;~35>kXO=CN=Bv0bq(;~c{zD8s;W64UWbnRn|NrN1s3|h-cd)z@x&6VSO`})0(cu9 zyT18ix_)@r&OB<3F{Em9*U?04{857hm!$5qFTeC^`W3~z3rjayu~X^S8qd8-L=UQelt5dnGvcdTMA&mPva5A*rll#wDol-c1;#d1FcliUUG6NS-d0*#7~N>uYR!G zQ9dlL&3EEsDq?{aF*U&zC;O>eY4(f53+nqcW&7IfrJ*zDI#ZSDvqnad#;M<<;K|op zosGUCREzzVR{`uiPR{l!o^dFYoCpc6K0X*vhd0oeo`-&H2E$QX=@Q+i&O|5JrS}+( z31%ptnKu}Fb__g8pw61o`ebs6ho?CDtvul!vT!Cv7wT@=_Flem;|a`MO>VKlX)mIG3D>zON8}%VL{wmGVJy{ftvwO3{7j#m_VMQX-@H&sbe|>3)AfbmX>H=H=hYX>hogc}_Ex@GR)(tNmzbhkD+kzT2J(aE2(na$F*ay)`woTbK=`ZWUiUnS|t3~5t5E)39FBJYV0Ehqw*Vg$@mMHAh}rh1edPQ{O_vbt++oDAh{qt)#UwHvB5BBciAFLI3#E9S zkyZtk$4HSaLS26MBm?dttjTctyO!_2a`Av2hhyNy0#AXV#iU{N>!4}M8?py}+n>Ga z&|EoJUZ*zXX>>3%F&cI^o$pIIws|~2xQTC4w8H|m%FC?Mtlo;y1@;@k?%Tbp2-BIS z#9&`<#I!em6SSFVKXC~sw%^Bhac|hE1#=tGd#_UZ_@*;uxyk&*Gj~cKJ2iphFbkw9 z#r7hJ00M!ISAVMRHGmOh-k&~wV$_LEOq7K|PB}R_S2{cXp$E!#C3E)mYulXKX7#o_ z`DB7*+eu#C=vxGfzJ;30g+hu%{^tzPX&SDSjh3%F?K%yRuK-f@JI_S6XF{< z`q+U`bX*NP!108;{TshTkQzTHd1>ZFNX>7zi6!(-=c;9@2eN|-DggB(#jO;fZD?pH z3VPaJjU11r4>a6A5FuxFeB1{+i?)I0$hU3eO#)iBTFJjVGvuA11y8l!3sza}{SO5- zIl#lpsPbb1nGloHNI4A<-h&JkMMHYju`a>7*fUJD_xSEe>%;%BXL3}F;1oN370Z|4 zC{``tC(q&;_adt1BZXz3p`y9G+{5x?ivbFUqL=PsLSBX^?U9PHeDCrqpRp9-5XY0* zf7b0j86on#ik{%W`|cdj_p|W3^@i;FY-+Rht3r`2u`pXaLigp93)6=Z?9U&Om5p%q zyTrUDR)XDht#GQvWPZYyTR;Q%&Hc$TZxjA;r#R;d#gw5P@*rqts zDq;_<|NgiH+-;%7;0F-9BRW{5S1WN`b{%zt5@Sg&8aX44;Eb%}D20C$O`$$~mn%Xg z?#9lW>{5;Z0#7U1ur*;VO6RWPfz_ zK7PyMFCR8zzP;Y8%OFjcA4hnKmit>kmIF0`u68Y?bV$VDn!#jP|sk$Ip#Q&~){^LZQ6xh_AX@>og{awwEej_}h@PY$qLQ7lrl-G6`VSA;Nfy#Nocg{!W}GYy ztX4bk^FDHaR@#*p=}j&<{sI1vnK>9D(UtcPU>3|vUtg%D?Sg`XXJ8mo(Nd94Rx0$7 z1PBJZKp-yvsP}93Oph`0C0aBM2H91tRE+feF-E=&J6{&l9tV3bE5?CbBizDqTPzwH z8s~?81}}EMI<;KVDNemQ`Cu%BrK6yg_L1|2g7%y;E57p*tQW>HLo%dbiyMWld9^oP zHGdV#C4YPdTPry1oL&3YseORDGHKkNx8Tcpp~R@I zYD?MV;y&n{t~)MTh7*xoPFsF}@+xcZE_8TipE#S=>rmET#!I3yiu;X>Da$(MoS3n1 z!`Ja7_|(#-uj8=7>eG5Gq2I7CR}md{fsP@>&Gi2K)xJQ_%g6JBMI;F~ z_T_$l@1p}KSHL>;$Cp>$k)y?j{!Y#YTGlZ9H`dXQh8|2iU5&dFi#^cJpAYPer zJb(3?f1xG?Re&YN8`XyOjzdW~EBag6Myj*S2SJj7KO3bL31?BOnmEGuF&my?n_UDf zcVN5l4Ke)LLgcUmML5i5KMy46?VC40J=uL4!}%H*!l5E)5HDpirQQhyA$2aiR00&m zciv2uZ}WZG0TEl`i+tp2KTR*gfrBuSwIgM-GPWN+3PeIkuzqqrx1-Wij>NTI&~oC($*iLL78=(4AJ z#-3$y7rT}(5_})RT4u?ZBmY58*vPG+v-`%s+S;3m5+LKL`yi4t%Rl(QtP0;JstUn} ziehSV&z-a$gfXXbZ}u0Lea6#-B~|tl zIy>daQ~;5yxqiJ_YS6)zM3bF6kI{|JXf`*Z&%$1KcbUe z6Mpg3ZoVUFrWqPn*WH!2?9XE4+6l|iZ?p9oEWE}yO4^p$HUOP}VXBVwD^YMT>y*2G z?lntykVRT{J{T%wl~?&F8%ik%%%q@?kApjl*W`7zd)Govja>vMl#7gL(-y07w&7RJ zo_?hdnwq=iXE3+z3T$rIyuGr{1zort_5V2{uE7!U;O`MJ7CblJbEP@oXGp4#?Q)-@ z75ip=BmEwdQ~yF$_qsPQpSJ9#t)xL$@<;<`wWG)4TR@|EXSD5=QsgyWTF z^GEVT(B}uWJl%6P#on^5oEo3W;qX5K9)!SH$&4DnRHRBahq23Y-uf3boe5a@;vM9Kt<-{ivzG8&oq{CWdSd@Tq>#)F}2hM$Q27 zk*BAxd;qQT)}Rp!GXIVUpuao?@wSYF&g1&^S9;bB65=o13TgM;N)5OfnMNJs#K}Sx zRIF&LhJ)`q+21TNFep=?`~zcsZV3rhSY=@->R>J=2F6oq>J*l?{I*+BZVcQ2z$%*o zx@w^Ev%I>*5f>rgeROn<62!&V{wlas0n&S3qQspz)Y|v9EsmK_)3&{TGzz3#Pb*)c z+duET5WK{wZT^4YUnZ@;@b47G^8RyKOt%mex{X0BW|_UJhjp+nqD+XmsNsQk`vrINBNrDw%dDp1XHHg+erpa=J>6 zVbc|uXP6_^4l_=hY{X%kpO%>m&D)2=%g};0ojz}>2zn%WeUJHZd$iFT4vpH&EAV+l zTHZxDPcDwqYu#vNEwcGhXF3IfMfA1x&b8KTM|*R>I(4Tq_3pdsj+1o36B{^ESw2ysQu1sqX&R!CZ(p3(W)I|JPV`EV?x;X^jNWn7x*c znXdrp*EU3bZkz_V#P~MnlHTBW*#phPegK`4+HDTJA^NYQIf5~o*LKPX1#VS1G{TT2 zm_)#<=pK-PT+srLfXMm$E)xC0Q3^?36X!TVX+~};apUa-ULLVXT3cZxYUm;l##>m2>_vbkz`A+oPTlj! zHc(j~Bn_ywwl7gwH0=e~b-xa0oFPVOVCAPk-;K17pJi`jsoZ7ZO=dLGR*=YF0Uzzd zG5+YE`K!MjM;1pqQ(U{-OYSd%ThNI~Jo=EReV*6+@dtA195mPVAlGv~8m|RValm7j> zj3H|%lm1CPcdF;*9a?zh{Fb%6gN|qly z)$CizO}`R2UL#;u$kK9nxN5t;)zq*b)D)fY^1!4+q4u@tQ+CfU>%jI)g{*JlpBH~@ zjrdlkX~;%hL21EnbMQScJGkC8B-7bBJ8;z`>;#e3qK#^&JH0s|aphzYR8?4hs?H~melpDUc43ORh4yOK}!pFBUlkj^=98J@2 zKWTYtA^0M)=nvD$ebO0rdLFsrrIP4aDkqL=K_rc@;`pR=r$5un4!5qe!w3& zwWOp_sVfpickOeR>6(4FjhiY774hU%oazjw!#Gv*Fh1h*=GB^gvdFt}gLh-Tk-`cS zIWZ$(L5~7UO5Vy>HLDoA&#~!bZ&VUwN3BCWGV(?EIF{g(wvE8W8JQ|ID`U3>KJKL! z@Ro^W>``pMl?A~;KZaj`@d8`_ z0?XyjM(FoJbaK|KmPoZf=T!C*OY1dbycPm0y(I1bn_Y5>FD`)0gA}Q=o;G2qCi(*h zF$$!*#rKYAksbz!>#j7KaDkX4`a6lgFT=VFKFn*n`$Ov^Yfp#ooQ!^*Jwd9$L%n>V zFZ2I^=m;JgaC!!fdg9%R?Lm)_0uj&0i))z1fY^UFvXR#X&J-3ifDQ z78{S4tr6t9AUd=KtO$kC*CPbiV7~{fe6Yy&HYnsl>Z~+h0YNKZgnI-?bugnng=={N z^y&8e@fKoq4=MhKw=zT%DW=y-%RbKm>UEBTvWKA!f~=*dekZ)hcMfYGxM{`^w^EmG zI;J3WX{_G>RgLsI(7!9DhbEFwyDGqAu#U#$eY~!QEelj54=8F#hxp!Fy{9(q$tQCa zG-@V-(R~yz#YELgX6ce#w{KPrm#;`0>@DLDY{kqhCWK97WmT)WpZuw}j%fE9Ul9UB zkZYP?Isgp%;)qL%<&!QOpu*5*@w#rMB}>_=pLzDvqW@vF^g%Bkvz-bMGl1kNYdiii z+&~jks~(`d(A>@zojBJ!P?{0C`fnSH)QPwTY}Y7GKM%DQ(`tNeCk|Jhqp!=|*rCkQ zikkkcUxgq1YMxw%%94J?$}Bx!T|uD+95Jo1yyv@;1A7w|l?vL=Y=^*OwJCnOL$&iC zt;>W;Bp(XVy6ksCRjU<^sEa@`mZ4clOG8uNWmLpuas+;UC0+1M0rZXS+ho&b9n`sEbJ7i zIq9}|)IODUb)UGA%Z%7V!~aV6-M2nGoDKag2bB$AJS*O87nmO|WQ817l~IEEVc{Qm zsKVB=`*FTBZx8)6PGG0K#6A04a4yL)ZvEWA9^P=DFG7{!FGs*FyF?#{V)^<~-1 zAG#mY3cxWB*$TA*9_mX^TB_Yo3iF;^029~id7}0Sg5ZlA+u7>)07{HN&N?W_V3JEC z%zrcOO7d?TvP+A9Gm+X9nRQr+=R5u`!4?WelQXy&i4o{A0fr>!$bbt6g?7L$XqLY{ z%kXA_5fV}tC-Y!6Y@)jINTnkZqn%!1-%L^D7325sqOWS1%?E$`3&8xL)(_3fVuk1` zsZo4Xscn}=Z_GD5nT#Bj!VFOc3civgg2Afe19Z81+@GZD09?$k7Kfu z>eNKN1MS?OY3YVX#Dae&WbY3XHx<9sw=N}Hnc-idA2)}SxbSnvZ-7(C2b#iM@ZCWq z`5q`2i}z<^m-{NTX*|%)=`<=<4$13U|LeDV)Ps_M@=5(tMr6&ydL(!*&QZwnfw~Wk zJBhK*m72UD_Pcjkix)g@aDHUd-aguPE_LhQ(~)isI_jx|X!E`(wds(lxa)qQ;ViG-h6N_GL1rs-|NmvGB1~19nG_ulP z!)DY!TW#9Yew6^8z8zG*uU@~lwZB_nYlF{3g%NbIL>Q-5_=36@aP!F-YhAS;abduxW&QHv&+ijuqd6qLA9A< zJ1ud8$7*Trg9U1?BYTSyR9UI(Y#Zi?@syf@*FYo+JbT`$sdRu;hOmfX$3EdL&S?gf zxY#&8EyiNV@uO5s?M${if?@34GgKDZ6Pb>chV%#Zw59ylf{jwIX4>MRQ6J*ho3 zNY;t8(GlbG$Ap)8H7c&HBJA&;DW4$<&#B$pF?enJMZ0bmZP@ETO4nDAKrpqk(yr@u ztn3t+pW0CU`!XDX`kZg~o}6*qsdWDlYCV+xyJK>V5gwUwGT;Y$+)!=D6{f0z6^6ZS z<*hM8UK_!xqNegICG6r4>BGs~3mXCEtIupUsrO0_`Ljj)lUeU=Eczfj`K@&|mf6ip zE@g(fu3LT|W%ThDIzNg~5jI|PrGN{Qq;&E7YkB8EqTdB~N2cd;Ev5%(_huad#d372 z9U!&|b|42pu16M5>A20?V3|z|c**XOQR9-PN-upJt6jjWc{{P8=$rOp;$vY#;ef)D zH?RxbWxFQ#jH!BflnnUs)X`_{*NMrR2Vd;r0sDs-)Qi7utRTcOm+mcxi(r z=sU*Tu`V!>c^_uMcbalCX_x$53E13fTdNdco-AvlU^D*P098=vR#iYhOs^0 zY^kwRX7ZsE&h1-ujXugMiJ-=VIcA8=>z^7A2E)!E&!dhiGQsYj74~K9({+G=C;1n& zMG_&lLNb)n;p_r7GA9>M#DC4NlV*_5<4DzF1mC)+fPFyC@8LXg63urB3mw88F$M5B;vf3S=jLf0L~X}D#|cfKJD-Kn2+@+JatPy9sJ&g$1Z zj)tU?KeIY+RL?*qw!Vvf6SiE?BlV8qmgQKJo~#t8t84Sp<*83*h3&&ue`~Vp`9@GP zLpvAV+MN;uQZa!*JFzft{(H=yz(t98y+E6izOoZ%vJ#LLAgYf3kigH)3vGV_N(Mh% z$TOlOGCWm&=YJ{l@mB@gR7c*kO%3s{N}XhU!y*!&w24f>KV))?NbFLTd4s)SYhu&L z_6$zbd>1ye{KeDzu#{oRi$kN1{_5@9JM8SgtCa^I?da^WW8(3fjuD=$-*ztQ<3tS0 zQ|CZ@4{CNu_5hv?UjzbbGZLa=W2OG$vnpva*pn8RJY+Rdhr+3?T8_tWzKvjc$Z@EL zC9w!N7QBN!0*-b&_SB-OqO4Rhu*p3$McKIK<5f#fyEAU|hbPgOt<~VVZ*@t6m*6cN zy8I<~hWX<0K+*G@l5-h%Hv>bqKRyI`;JlV15CirMy2Se@d($c&R;H$D%87J-HU!4? zet<(68TAv+F(?72{VZ9hp+jt}wVx~6rM`~NBu`)W+TB!KD5gu&=lcsT-;1v;%5lKB zKe{-UFc6f)1_?^QxC$aez{xe=F~k{}(*>!#)89BvuZnh^zfQGi`7_M15<&c#V z)tfksSdD}gu_x7N^Ip3MppqE7FE3pewRO2{L@Om%=`2%%)6!}5*Ol5`E>9TP!}w!W z%f~0U>8xaTf1(N{XY#G@${5H=uUjgy=gPmFRSxbhf3TiF92{B|h&n(mb(LHzA~;Uq zoGxBK633-J3h`Lb1_@U6uVbAK?Z)b32z_>WkL3?(e{O7`2xx%g=t$9J5a<6Fr67*6OYB|}M+P2qY z3F2tsuz|La<%nDH+b5GZm!9zl+DRQsoIh~pg`7?hbwKuVMB$h#u6L-=!7EU;G$YIC zKR(~&_O&(Iwf9}Nu**Y?#irco@)KTG2snVH1mwlzr%w$*{B)(qKTV7~{?PRuFCnh(qE%C#!1@ z?NiwT?D3L)ypD$sT_GWcc=8BHtgO<>`>UkxLcgxGlR0{0P17KTnKZ=(cM-682ms!Y zmg(CKpd>#j<(9cXfI6ZX9j(ww)%kxcskQztHq1Yy6SfLj;+>BsOH#0`eDS zMNI{qZEo*zy*NXr{giw6y*+b)rh^8477^~KytDp=T3)u6H)ct8nie`rKK2M$SLIgA@(|Gyb-s@<`Br=hEwUmpBf(95)I%s>Ph>R zNs?;Z@{~_1z44a03ygW{)bkH1Z4Yw??Qg~&Ju?6l23@Dl9_Mz79q)3D(f4yzpxLil zE*uYujU_Y7FM)I6B~wfGPMH$6+4GAibZK(!2&C=5%0h*JTw0e)0ICJ+&>d!G{0tRb z5l>GcxEfFg`bO!vezRJ|VtgpLp7^I@ATjJMVyzP|zlB>-%m%pK$8RP`iMG-)`(sSb zmSv#dx0>R{)o#8xmbRC2=``WG**24+hC=&OeTvbp9NVO!m}etq2u{6s>m6??bP;`trE zmrj<=k-J~VM-e;_QIzU%k^6!u(Xpv5n!jQk#PQh;fMuHIO%=K-`2jCv`#{*}FPIzl zl|&nx#DN!Dp4DUQGs|PzS_S;RlB9&yJvgh8Q)K(8e!Z=%6Bh^%ku4SQ8SlVYzm4>L zm<@&urb2TDjgJc?M^R|L%OFB&)a*wauHizS5+s(kRYLCO;xM5f7e6IR0U5O-Z; z_g629!FpuR0^t+B2>8YFjN4w=h;u7^Ak?j|nlGOi9$^0=_%rzLk1y4H9lv}53rlz1 z8TM2p_8j6?95Wwb>*Ip2kWaukOfyD|6_$G)j+h5NIwLBW|iUF)|hrC0KuTr^K z z0UlTa5xA=dC&sY)?yuKfRmGd@*PPMDo^%&FHou5vM>w%K+ae{OH8s65J@=t*oG2nP zZ-4DNy!>a9W(2f$GnF0ju@~;a@B0e)U0zt7uVTOtlKI1B0{& znc)%|WbUz1-f*z_`}u1lBt2|E;<7GKExmsI`e`(~KkP#vVq%(M>YZZFJAx_@l?>#Y zM`18t6IJR*a=~akC>WH=I?Zt|dtQdUAx;%yh8o|WHO}xK(&jc|6oeZf#S8#lepoI7 z+07-?5EKAmub|6RuSxLj!3Ics&P<(~3XkyEYW7!d8JFn8Ajr5#G#WP@y%U$Z&xrh1UDvaN^q2fZEs0 z6W6f`>mKaQEVdws#kS9r;vrsJl3d6ngxKO=ZEZ7o9YR3Bqj`hybsgg8k`%tdF$9te zNXKDp?|1qipzSCgJ2edG4%|v1sRZg!Bo6_^=ni?PP6;CM2dWldidy|b0|P{;c5j>> zN4MfUZrp@JMZCrb(9gHTsG4)-uU3d8o}z4q0`^-@Z!_*gv{NHUqL2)ZL5OVum63z} z;{tsqfAE9<h$~LEP-8p^Zf%&csvo z`|`UDj-taFjK$CUZD%#aL&2%HE@|yp_O=dZ$X*h?d-xW*Z6nXb;z~=6<`~@w&q$Y1 zu^$k6ue4(xe(PdiI-2qtVSQ-I>Vyv%cCz&%rmDL{^ZYqDqb^6qNzaO-kB_$mYw~l_ z0)!)|aeg}Go3BsTMTBODfEt6pb|NHtcEOaF)psU&@|OmPJPy4Au3=Chhs7(`1_UJQ z0LH3EP&hT~_R1b+Pg?Ylc?rk>h5)l6sTd2c`C5JS61VY5i*y+{QLc@R=iT~}*n0QY z-|qN#JCVu=_@4k$#7DY#rF2Z^qTcFHa}Sa9I7rWa(_}aWBJ)46Q)R?Xju`qyOm_s@ zvFZf4G(vm#SCqkS{6)9=<>a2-aeV%P zCQjGnX?PME!^a$ZLc*Qy+?loO1jY-D?WN{Q5K2W2wdP!Z0reQA!$H4a_rC!T;FGo+ z_t-_k3$cPFpuhXk0TGR>fnw%=6B3s%ok`3@dGVt>QCuJ{6Wae1mYx7<8yHM(iK!_m zh#@NFY4kHBU7*({^AEY5V|&Awk8^-uzR!^4E4dT(Hv@4#ND!r(L@#H?nP;eogLWf7 zNQYSraMt!JvKz|JLrStUf%f?gvUm{GRHG8Tba-lu2hWcSo+Bxsv-te>Y&V9iFjg=Iy(>r`J?lq|HmCJT^ccCUcYJ3cFE5EDezMg?kuhMPi zoz8I$TJ!v4dCV44f9Btb8+mnutNWl8db!pv8a`&Ii0SO!@I`30ej{)3Qe@TW$)F9w zqdn*GL+MjmE(jrzh%!YDjVHkNUWbs`WT{+yaUX|Mzq$^QuL1JoB3RKCw~(e0(PqNf z1_tfa{zaH(VE{ESHynHN6o>66^(IY;=hkdeCFh5-W0e!L{%?+I|D3O&Td~|Kq(Vtu z>fk#aAGswnb1j+mZlP;zMS_D(W?tCv&*xWb0|`@q{tSoYG&@wh6Vgq|5$)}(4{TqA zxW)=^ndyJ;vq$UJ8P5;pIM|UPhBhiLyPAIo*a|A+`m+F z)Brr};iT$O;Y}OMjZHTr@s9RWX{t=%ur zUlB@+xtm^F5QCh>)huC9A$``U9Z^P1rRNME@Rkmhxo|*uKOKTAL!c?7fu18IB$SLY z@(4OdmQoc$$egu$!ed`Pp2LO6I$5e{&K+#bv@lkLgoc`c_RnIZ=yJr9`ghdI!wEFB zv;mL@dWDqKG@af5lCmK^>kL%ZNvz%74B5n|ODAu8T?-1o#@%*&e&wq~w-Jhc^NI6n zlo->HbNJwNsqzwrl_juDnreLH$5WR)845q%s?8U3PDWz|tRRtavVz#B?D?x*;zB_I zRk;SYO7icH@sQlezy0cEi7}A2Bc6xL$T*0_jKW+nm)sXzoH+6l_X%dLPQ+!-3S{+J z3FR%Ig}bN`FIr+)0SovoYU*>-S->XOzEu+q0Nye$061J_A- zxmw8CMag==1ssf}WBb9thC1v%z>-U^>Xxo0WF-h^?p;EHfE<^H_ z`y4$CT-GC7*W$?>bDHha$rO|s)=Fd^am5n16W?H=3QAC{`!@1{ap$-0k-HT3ZuuQQ z9^7^6`vYXGPK)iwnJa-;SI5S~=*fa_UQ#X4t3HQ>%l2hzgB-Rnxg{qUhD=FksaI5N z3(g(>5NkQRqI%@Kz_a~Js`P)bHzrJ^JH_&D6p+r=;Kfpl3V#gv{*22&&^btg6{ay_ zOB0(8y5!l!Fz-@N`gS&5NG#)J_NPs;F4nC8c)!vwJ=SdU#$_TsG`MDC24Z6*?n>u()u{`xWLInkdapN>tq@qOt6 z;riG4{mD7$mu0qv2H06aNR080ajyF?@wH!z{}LH#YKNAoA?zEOl?*lW z)?%k>jeSTKs*(@ldDy(?2`LH4bn1Ke);~-m6$yMcNci;waAG~_V8v0@WBMd5r%x@w}%|D!VcC>=3bcG|+W z#uXTjWRdp}L#JwBV1U$kpv6!fc_E$JontY`4jRZtBzqV5j3sXd|FlY#)F014S`APz zhil{Ss^J5>M33*q3;W|uIukV-kf4MJyddpC$m3uQrh`ncuCC7In*G0YM9LKvE;sNz zlXF$iT-aPw{L|c7dJt<1LoFdaBr|;_kdl=27epX{7LuBV#vh9L!)tdR3PytW5fZ7% zy)SChcI7;vi~V`^Z;EYiFeU?&T^`LRTytKV2{b@rXMvmETIhYVz1Uy6GO`)Iz1Bvd z$5fp=GBK{|v^RXkj~VkZ;~oREvC#^3OoF}qj477a%&^xEr2V=vDo|kkrM2x^J|M)!yJK#AZaYkfjsuEh$bRK3`4MxsscM^FDtu`=q}Od@3Kz9My+7Tl%&0e|8#+U zaF%*+$4dHpenzy$1)Y@}R;xpG0m`orL^D+K?B^A%fb4{}0Goio(f%=4;qIHw+M)C- z?KxT|OabM(L%E1HJ4pv}gLT4qL^Lw`5D5nhvBw0u{BQuFLAwJdp zfj154IzNVEn>H*PSqG`gA>0^Fs}~?>-*b7~QJhu`5i|EpJ8#M)+;95%ynCS7j?OG! z%4^nAUPZ0+5dT7?;P0~=MG_yuTp?j^&j}4{|7Zguki)yq?guY?_!~dtCcMCqGbioJzZ>w^ule}4mPwz>76=ArV$|2qN_I>B#fZ8j23XpOqRMl6%!O(kGTGWTHZXT z`t1W>&(PP=KZ^UU+ND(9jhF?`&oQtkFsC&c>>42~sG(;3sDKx~6&qTB-O29z%bo1* zZ;m}+vmyo{h2AWa;&-n%PD4h)2=dk;U1Gs0zdJ=bU4ggq3Xq!veN8W~GL4j@c?0wI zI^=DRR4HRY;zXn1^)%(R*^il=xZC+srAeO65DNsDM!rUHX{i8=S%QUHQt|@hOG7;2 z%(yOfc&HFnb21Czj90%a>B#QYzX>x~tdtv`o^?T`g*0)6lxA(KAh<-V>inNV$#~kk zXtcV)6-5dGYY>76CPxT$ha(W<5_mI#xPjqMZz%1 zQu@$ofC?fV(v5U?i-6J`O1dNt-5uZTv86dYHNyLjb($?v8|EZ$!(476 z{?Rj^?lY(mY1`idHin2~33OrlP_W$vF9r~7?TvjP@B;e0-ynGp%(4;3Q0db^8 zyiVzjf)@r8%lNOzU!!X)Zb4{PD{FS(F8yG`+tGMW7b@6>%DE;+uhW{1rhKmfom~mA zR6q@P6Fwa%(Pn|^tCA2s$?V)Lv%%c4$6dw{JofBJ;n;puq;u!mCnunBWjTm)-q%ty z4a1*+p`OjK8T80z=+zc1_C^|;VLYa&6}TS}(PxM;fD`%h6`P}5Rlt9#4C>mJw$9_8mUmD1cZn+GR(^^u)yXKbUHNt=P7#vq%{%P5zow5gFm-DsCBe5ya zf)`nm#&8}uB%jV>9zz%&&R@+Bw`*hx^L#2O+`M@4;tvq?LP%=>o4L?zsPBG5_!ob> zTfsSdS_~u=FmG=n6_CX|TLCjc1ih% z@1LjkQKK^2XMy8oSzn=`&dzwJCbIhvYMcW|*=!nZ6BXmabOy<`C4^+oEm>xs|n+^sY$4p}H(!;uBE`;*B zbB+<`X;mT~^brpw>nI8@4VMLh1Bs3k!GroYAQyY@O38I?;!jF*%zEH(vrV;c$4;={ z+nFP}V1$msHVSrj?X)_tyo^l6jKa}{3Frx1@}33fU}^vDyNl{Cl%BSZar!ML+@o~l zegOh5MvE6Oe~o5*HIrV0b9E&3n*GijlMOEMBXS_62PQ-)slta0LcZC{6l+Ognr4#h zV=V>?l>uey0lmja1HPgkkL{z9hR0Uh+RvD{xp&g*hvKbcjv8(q{s?^oP%hjqdBB-o z`{0Hf>|b?PH8nMI;JfTi&&kcr)$I4#$1LFK0kp@$!aPprOHssaUsSaMD^m-(l?ql*_1Q z?SCkZfztSAwx~Ne9VmBlGX>_z5)J4*nfI;&dbqpye)*I%+11O^UU+_Pff-arzw$4S z!vzM{-tY7p3#RbqiCv43_{v@FY2H|`PW_&}n04GZt9iZO$Wh6~OLgT2H1EY0w+tM! z(`N>&cRDWJm5oqYiirh9h%>}Dj1s*+WbmiROdb8S$GzI+M2Z(NIBPf^w43-wzOAlX zr>$~r4@4;iH;P=n};}ciHe%mF+PsQRK$7Y$C*Ogm>{q zu5SVPJjp=vh~9DYU!dg0b=Zn&FC-%Q-|G!_S0@gEk7M`Xpa6>0pcPZK;$wttNc>@K zx{PRAx%u)ITl!mIrTg=@Ox?PQ1dr9lFTWwe@-8H>_xNY6 zQ+7G@h4i0dIEj3lw>R`j4Cca*j@)pl=X36qD~BTdBaDImyF zYXQe0+v)i6%6<`f;FTYv)jX?u+cB~~fbtH>x~xoCY;f6}Cw!_G@gaV=73i`a7+ab~ zmN3r8qR~pAv@4>meFNCbk!Jg0RJUxe^QVE+^u=o1!4%Qi0<%;v&P`J_K57w(vnpBU zMv4bM@pTyE@gZrIIjF8kZ26vt5cEO$d+!ECv3ihTr)R3O~hRy==KDFdr z76qBZtzTYCMRkQ;9;gk|NaRaY8?q?DS9B*OC$|Q_5Q+nzm6%fG^|ndPWD4Lf3xyd;&*6QphGD|8+Ngoisc#BcH2FGDOG^~A*O zJk7ErjmLenCTklpvU(X7fKGu}DSzdakejY~Yefmao9<=H4`v9}5Lm{q)Pl`za3e4I zv>EU?3I)?VbM#aY`hix?rn()E<*!zo>cMqw@Fx54;RB)@mO)}$@)7xH&@6+@XZF=j z^=xe^ZS5#LrYn<5eDA-Ol+;K8b7PFJ^P1oG&QS75FOUl!Eh~RlSG!NaJ-sRV@>RmXPbv*uT=s#9Igmi}JGijL(9K?Mmk zFd}-(fq_4OTM1&RJO4s`;K!{;$d)w6JSQ;yTFJ<0fgU-?YN}D^GMZjC;wOY8Nd!7P z+R&-y$Zu#<{P&)$OXTW{jx;+BQr7!|VV=S?r^bKJ6%Y5M#3Osur_1OsfW5Cl!^mYH zlPUlWEMa=Dxa!k{nMEB%45oQIYJHrV6YpSc_K%q;t~mK?u-rpm@)I-Plo!qgO!?CaNNNJh=_@a zO-mJAlQVhVnzi>c2J zqw+2k9%1{HkH_wE4_3CJA6&U|QWZ@*fL}Xw1dm+@gF}dSzBk?y8r1-r*TceIfRibokmh$ z7}#&wU$$_7B-Yf>h-sMPEbz?EH`jcUZ@&v!`4hQCnP>hbZ9`;RA0f*EJzg^lIW>(V zBhewTl?^(VG%TOv&&jLm&RxS9NcH-*7`PED=cBMn)X z-UzRnVu3fg{@7 zRtZ9_GvY$hlj1+Hi<8!s+x^XHq>_tD`gSRRcYMNLQGQRsa>p7~gxo6^)$icyd~%vW zs%sv#yCKxlyz{Cq!>(^eXMh5yvUr`16#vPlN%ODKwm0z5DdeG=UfC;pxaCvdJxUJh zg!!Dh9mhXy#Jhxl0Mb9`u_XlBzaHA_=>CG`Kl0xd)?VbKaco(DXK+FK%hMyh+u~l< zKc>dLL{^@l*=9|J);&1)zeH?w@%-s)!G*<*_%#l8sh$=UuIkz^&_Y&GP`pELtKSj7bWwIW)gs4NuCSrICY zFJ|2BtV^t;4#C1-W9qwQ+aSz3yA>o}CPoI&y`$;Wyu5Q=D zUZ4F%v5hP|;R^(cn`ba&3YpU9tb zsv5=ZJ?p$b{ig#V=qF=BxG$m5I2THkT1FAeQLlNLKPcj z_!39aA%5sR9%6pH*D&g`Av@C%OHvCsWGldeOR9(`2(bY2GT`lL%hV{iq2rZXfX7Sl z43rCS5O#fp#ojRz!J*j3WQwzc4dR6=@0VYoENZ=wy+evGccKcPzEty!wf?5{Q*ad8%^qQw3%vr+K+^ zd>-#n^%G6I+k<8UCD$9H>37&$bL?Ncax@c(6p54IIMys=#^~q;e``j}!aC6&u+WYV zP4z7Vt2_QH1 z7_D-~!_rHEwkC3h`NR}S$(N48X&oh2ZFZ)nzpJlWZ{#~xKw-eM+~u1%SCCe}iYHta z$~*xN4_My1oLKYNe_tr|~M6-|nB;xf1_Jw`9~(R7fC zGaC8hr@oAN6*jS%aGn(3+a@maqQGG-J*mmT$xQ3pX5MK-5*6xx2W`^kkNr%+daKJ7 zD-UevRd7ZfrhL8Quwz#YgK}|bT-9<31^Ep~FkkIN-P|dpHs0WZyu~)j0dH^`eP>g& z8vKw^oVM_cz+9GZz_!D{5fM@HB~FIqd4| zm^(Gca1jA-gjy5_kw(p_T=(vc!Ky?|wEi6_gkIn057>cheXbc*NZ7NEDluF{`yAB> zqcu*{$swB!K|!KaF5EYy{Q>#Zp}wbHu1(LbqsPN$^`}|@s41kj+nS9MgoEpLw`{$1 zaKu`#DX(*xHN$KD0-`ezDkGiKx=p%0fJ^a~E{F4MTEyfSz5R`a#Rqsc=MaNUa1`+V(-_^R`@2V8fifCRb6Eh8V`3yb~2qsH=O|MD0un z(!<`~ldxfnor$m)arqgP=bFNP(lI62N3KYkVGK6;#Sl*lzT58 zc(QY-@|NQ$0Y`LK@@ErZwj>D>8V_gnedPD(#X;q})W&TQUVV42lRXw94VH z-O5h<3-4Bx)S&6!0@^iGb{s!@2@#o%&U7uFIxcF=@9nGNeggaiaFsB&KO}vorY>xM zv7IXYFvy0q^~plv1jZtIR;3=Y0!dToI9mrTpU4tpRqq$qPU)(hrFILAA8zlH$zX`U-C5^9{ipFhS}fy; zw-t$&Q!3Pz_S#*Tg#w1DUUj|KBjvUn=EGMX{lNMcKgpoM?#JgWzVdg%58Rt%ryIWr zv0a%Tshu&q8{29K1a~+NhoNeS!tIQirnppf@~pOEsT*7Vz~xtAzU6jo`SBO6iS;NBi)pc4Qv#+dPGt$=b;Pg?xKE|xJzMpbTajS^hV6RqxB`o*o zeN9_UzvfJoz4O`1Q%g#6fHByQxk6*X>n}HW153u-hW??VCcwO?^AcmLbC=1j#x5^hOC|;rJ?r2Rs_k($-}NYBcR1_gM?&A zz5{z?zcV2vQR~ZEpY{`hmq2T1Ea`jYCxnV8Z{rGFNswkbcJRQv#&@c6(HxkI8gMd&yw>84RjA-Tf-ub*3Wk(`azEOBl<}VgR)V+o z998K>+gOeJ8@iK^K>_#XPv+ojuDU;}xO_gUcIBHjK|#=GO?->57-_Ljer-dA>G?kf zM@~B4ch)v+JJ>5hLzDaQMr?2}!Sh;w9GqvoQeq-1!Ilt&BGjw@{QQfme}7Ir^!)A~ zN~7CYoGEOjTya0KL*|3SK=qCt)RWSf^PH-ESU=d68gk^UZQ7O?n$gN17gm;yHsZ+C zD)|cWdM?z6Vud*ZvGdd7Prc~`ir)XzPoYxqEsX#MHY_zUk_qDeF#LRjOMaSsquHAd zNgh;i>I3&Dn7AuK@fU~F&)9UThBkCp>Y%PxTvaQZwg(%%5CE@u z4y1EX*QvXW5PW@Qm5s7bAE&!u&-O@UVms9S;uYfqmRxTD{7(Sz53~jap9e?n#Mu?x zMbh|+oZ6CXV4GND)F{lxs;K}H1JoB9_pncw3G&b-`PtZ*(2Zd|umPw^BJ8dQmI~WF zXmb4pZ2P}??N_juCp%E%D0Prt2LA0RNM@n>|5WNk&hK9=Re!l$DQ#9(z3{#`BaIrW zi75byrKP9;2xQKu2d*L+BhVp#^~o7=t{FETMF+zwFGGrjG$!G#JzmPr*9IN41M!LD z3f_=0;+Q&}#24+m%N*xd;d0=bB|Ga|@gq$*-7*hrJI1MAP5qe925}33MxdH(bD`f4 zl3DGx68gw{9`oR0L@0i|4W-_v;m@~+9zOcw4rXA79;$4EXU}xYhO+zy-df370}(EZ zZr0-Vq7ODj*GnB=4vZbH=&v2#x3?&@peigrQh8U-#K`y=h@#dvHp(z5kq83k=2oPg zDUbc27({B}{o%Jg0vQtb3y|}ONs+aLoX0o26n~A39bERi>Ad!Keqc510w@X2v1wIT zPrU?rK6BTOe4OEicSWI7Y~W<)c-9>6`yg*wUq^fmsEuqK8yo9-{V$vrxHif90WYdE zb{v@baR`B$e0)X}mIKJ~jmPc+NqvH0%f%R~zV;cjLGfca&1@h+dVF*@s9M0@QkM^o3`a8qe3_P`*3|{91Q-ka#?`C`$E1f%g6CisAs$=nqZbOm(y}-oGeRb%Df}9+9VsOI>oN>A&-Obt$$9*TGDTe(*zYK-rIqut#WjmZ4-{ z-SZ-CR62^$wjiXpzrEA~1-n|8utf;ipqk=`9FPm>Hv~-M2#hRU)5I@=?MUzd)vDo) z;~{az=-Tl8R+#h#pblC#Zs`Y#y1s3j-Gz+cU{aU>F-U@ZB%w)(i>vLrgI&rV4FDN( z-=lQ+;D)_WE0`t0o;$$8Ww8O>T9~or_)OqmvLpJ&{=KMe=Hz z-R4c#Uz25KZOgYUc5dz$zceP)Rz+2~jBZSF_E$u0&OE1GXQSa}mvSDCrE`WBzz;NZCVyd!q_Ga6ClwAmuuqPl|a ztgc73G4?yU#B$maMcg+`wp+5rlvWFFjZYggF#IA>W6Q}2I{zT4N-If-UM5ViBYlw? zX?OR%_V7t0w?&^6eRR^~9z}zuQ#d%QrlhFa_w(21w|4Wj&4hDxBzAZ--EVx$ z8jpMKx7^K6D0sYGvcGaS)k)%mQD5Q2{Iv;siZ{8hWrW=rJhwt0j2cyS*9${a3? z>;XBxMv`zUNpEdw4E2~{$?nP<%toVWlj*vT(pXSy+f);roE(rln)`4?t`ng4-WqrJ z0$N-goYSX;uc_fxc1T1D_Z-@8&`Fit8OfeXydqHD5xDhwf1zSbCeSU6Pt1^Ld1}qo z&W9=^S-i%$(sg+R{X3|wZECh%_{4=pBVPN2kvlIGr`gZuB0#MaY% zDz+HQhQvpDX693%8|B;TQEvNs8VBd1KM#Q*4wxMVKECn>2^W{jfv!V2SJ5g1mX_Z3 z^yvBif|_N@H3@tzff|P4`U`5NBVS#;G1pRtnY|cq_sB~xHu*`Kjs?G~zfR$~fT363 zuKERucTQ-ka|K~`_sRFH(JXBcBg{Gy=aPRN4X3;_pDFj zXGi$wg|^Ob95PL@xmD_}xEF}tsw1C%McCcd6@Xps2`XdEk#7l`nYQNc&S|l15 z@-MkrH$QH}HEy3)DpIComo6Wdg3}zGpZ_2^DaoieU3I=cC)V4?$M(lL`f#cXI5;=Q z6+7RuT9-$`VU|$oR!9txh)vUrc1dp9DJw}=>(|katwCsE$3KtNx)nSUBskFD@|`kS0n-IZ3}#tj~)aFCfb&ZehRa8i)Z{Xn6wy?h= zMg=Z4-L9%SW|2Zu{kCVU-gyKoS9N0E%^Yj)PdDN`V9b~29^AAuz_M)~bRM1T#fRx3 z#AFJGNB_!M9H~%;sJh26)-?r|ajtmC{2~8k7_4U9S-#G5rp?v;HPvp?fgDRo%$(^b z8ZgowE#}Q%?|K81GCBlx(^9u~c7-a$b$mIvbp}gx_~tn$=9qy1cy{NR^L(8m)4i{o_vRIQIeUy%Y6^m_CduI8F|Mq#?ykw&wnTgf zAB37IXC;`;YwW`cG0Kbr(#;N{u=$Noy?p_~%;j?lKAXSkW8qk8ii?X=3b~YGEhP5g zxJ5)oPKy~gLO|@?WyN76#wE3h!ZRbww6m3$xu_st6K~3CF23*~>5aeiw5@tIw_ST3 z9QkyPy-8;!ECj+AYv1CP{|%IZerp;=CMIckKCrcO@sq>g2Sr2(_{P5hiEZ|x))pZK zSwm&NPHGsu-sqmLo&_r1(BYGT?DcHjOYz8g`Ey*fX<#t5w6Po{SNRhTWm0vuE)=w* z5$g-C3}Q2(jf?~PbmI5#h;PK-xjx!kah<&7w$JiatFSYhl;dlz)p>7%X4uB)e8im? zmI$f(OTv&9B@UJe>N=nFH!^rqD+P{gGj#t~)x>wxP5Ak}&Q^{cv7r zS4UzjLUy*g1CyBLkBgpc^LI}jXz#r&i+Oe!O@~RbqMwVp8 zUl^-9$UJcIhm0W%Iz>Q69qqb3U?2f@xb{*)9Nx#gR1-hy16ayyw#eZQ7J8Kqhj2tA z`I?PddUc&bv+>d9f{h=tQQAI|NH2^AJibi{#_$qyO2)0rIH0RkRYiqktiPrvHgl5% zjP6Z_xkvma3#MCt)cw+jRkKAD-=nn9OZg7Fm!J1?ZZ*eLDNP@kawO?ljM!k(kZIP~ zNZFha1>5KNWL~(nhvzsUCFRMrYuB70+knC(hc&YkVh?xR6?pV@!urk{^&=V6<{I^m z&PMTx+oHGOt0gG1`XbCi^0&{bE*DOC6JA)GgCWPzByqcqI2^QUCB>_Mi)@nb>Fb;K zX3p*eOgrHeDK+AM4)e_SD-$y&pYT zvBM|O*feTn-zst1CVFeGT%Z?WQ}#FAf3hQ>QCJ^lLqT0VRqtqCJwn*M`bT|z5%lYV z{lgkOoMS&#DflNUp4C0p@>-&p1o+XtKhWa=UYO5C{BsWE^|EmCCfdM z1d`h6adD3*^jz`=tYBY{pK;6ICmjq53Q8oPap_#Vs@uU%cw{=QtT}rqQYGqaI`iF` z?9%0lF4sQptL5&a?pssKM|@07k9n`vlOmQoQuR&f`4s6VRj5W)-wXA1W^zJ%ud*}> zo?N;Vb94*e%8eB z5qeieNN^y@eV$||Xma+}$w-m(iN?_vI?P~qc0ahO0@d@mZehX|KfHb zo8EDU1UugYG;DUIK7>l}S;jIn;HEsE^k5Rr^$!?(->@5Z3fgT__A$$?4i0 zU{=x5%2E7mRnBYsNn)ozt9UTE#BIpIx%EBz+!gQ~r{FL`A}t-rVKvEp#39Y`F1vDF zy5J>ZU_=?_&OYtpU=Qj2%LousjHd95XD*k@zjjVU-lPUmEiS*f%#1NwDi62VP>YNxqdQh>EZ+ju!~;$RCn2HF_V#9OGg&W&r;Y?zLh-*zhA1NCdi3~ zHn}6@-O;N${wo6ebBX1E^xu&J2~-}$le+mxvGdZ!MSkf`G&h@Mpt%68OzQU9p(8rS z{Wx({r%1L=gj|r%_WRe*m4`siCPvw@Co-OU?wwJrz zzuf=%K0V{Ymq-CO;@uR%16#eieiQa2pN}M+J&JgOhMlv8plER7_5e z!fVxNIesq9ZZ@F?cXDv4LTBUxh!;cm>7^)+WY)tv+D=2~1Jk{GJwOeVC47XDH)w(# z=0On`S8qX<8J*El?3R8}=99sfatW(|m}rC1&gXM=+{YOZ4`j%%SVAD8Ml$JzJ*7_k)8DJy^q#lj_RCronrCR*m-s4XTWmT-4tUk}xwGsdd!N$oFn zM%pSZ{sxDvfF^W4amAjA<4;0U_SKYX#Y@N>Gde!WKat2kEoEGg96r@5_csX8E7W{i zstFiNtXtzjkq}qE@@BL`L;jw-wils}<*+BEd(rrXMZg3hqzG+Quz= z$bA(Q=Z*=$z|kGbQzvOV$)Uq|7o5Q)=;MJ&HZQO+gm2&CL`wxF+pKVb8FQNOq(DKf z0o?QzOI$#_RFB;at4~N#yS`@pr~`Sl_A=wHB(^;Dz;N8rPGJ(6&w;EOL#JO2!I~Ivk*9lN06cbNi8` zgI5Ff96g<#ajmUS1tDz523v(bEtz$*W`h-q$fN|KtbW{)zV>%dymeH!OuV3GS21ui z^>?c2YF8C@1vj*e>uh~XI=-<+M;L%fBfES#AtB-R5u|PVfLkmv?&c^7;tCw>`dkt+ z(`yqFTyKa~RaH;!o|Nm~N*w_QJ$rOfWjS(8I?&C=Euk^Wx)3f4vvlSp-k{{cBlOzK zK@U&izlb$^KS^Lfsj?WxBU_L;= z;l;$nr0H_QB|DRCFVFgYOyP-mAj)|1HRToIzNv$IyVi-Lnt9?P3&S8K3^ z|BP(VD@iGC>EAKJeq*s9LM;|VFRvym>kEC|o6XEQ40J#JMk`@C9+gbw{Q5t*NNGbg z0ET~CKC0^IWj)*{>@7;wU0HKwwO{NS3(X9m8+mXn<}1C3b(jX35d1>*8>&?j^TQoh zJN3^SE*-mp*ML(+Kz)#|^Acw>FMJChz#_X}z|Zz$i%niSD8YRHmB``xs`%aecY@^| zS7+`If>f!dIvwrnjg1yc?}aL2EdW#bj|1oH>C%{ zq9*lb$=FUxHn)5N?|ipv*ftu|397xfGv;1%hJ-p3Rve;*Z&Yxt;|P7dgmNIOXIH_b zcYZzMhrf(;&m9D@(3p;rc)~sQaV+I@h9R4U!Bwy0%I8JW_KV7Ia@Yk!?`vO*kDA{XB^IuBH%-~54^|ImGeNQ660Dm z?VvogV_{ldqt|h~FMd+6RXimth5lQoj2g|Gbr$H@py4e9vwZ$s@m$^)eLg0>ABdrF zE|Ib6PV&;k1fwvE{B3f7A0iU5vf=C^h7c12;YSj+;Gt38Bjj~o-w}5Y*ay$$%yTwoMf(9NKRD27hI{{pJztCz?z+pIUUhol%83Ut7aYV?w_an zo~Dkry1!qKPw(_fIAw2T0Zk##H5zjm*wfS@Buv7{$k+uzp{j;P8pQhYK$T0bJOqbg z{1PcDJjJ2=ppAA`;)nk&^(q+|Zn6qN86DU6%gno)kuAjEV>uuDJ*7(Ve=f`?P@EG; zehfY$o1rwlo`J~?y}TC<=aW-X(i0LM&qmpN9d$b}+gcpx#)5>a%5FW6#$~{P)B4Ko zR~kjLDBF}U(>pRUZ9GJ>pO5mp{rElSg7<_s1|t#HnrQ_XQJ z770YHyiPTibl-W?&&a@mBg4MCE|uE;~}|z|HTKP{W)5q8$1eC&NkIT zFxdjILBkW$v&&6$a>eeN6kE4QOB5K)$ndl9w72ix5i5&%p_a-g1LAe`M4UTx!}1Mtf-|y3 zW(hGFnR)LkDrIx>?eaG3@BrXAEAIy9C5&C*iKx`RFbqbl8di z@j=9^bD`)9N#AkdBTN7VK*Lp32vWV#F6+OY0Lbqx$%#FB3R6^TsL-jOo|G80m0Cb; zL@jmVsAy5nCcvY;b22GHB%Ho+A==DF&3GmXoBTN5bSs~anko+;Z8_Y{+Z>GsH}WJF zHS7q^KQ0Ws3n0$SEAj%0NKOKx7OZ*qz%jT_SkKOXx>XSlDx_ZlJ!4>M9yWDf0Rxa6 z>AjWmvg=mA#0umlSf#>~^6;9{42@<}6V&^Am^TL4itG+_i7;bYd;NY&V&OD8B$d_~ z!C`buW4EHYWFywodptKb@uX~Ri{Pqdm_?SoF>+ra=wbmLj?xrrN9Hm;X7YnfA%u$Q zCK;sHDAPvct11d_M)i~;84z{TrR^#t1EQf$xRYb8t4>Rn#2vbkC>M5DP?XoA395@Y zp$2WlaW)#vzW1k33SwgYtOv*iQ;LUArQ7f#kAdl)w4(m9Gr_{Nd|ykkQ^mXY_nLoS zO>yhX))O7cxK}1RxcQBgng#qz&%Le$d-G!31vOtPel=uwfjJ0?jyAKSg9pZ4n~kf_ zK~R|(w-W*>G(bz4`tM&nmHTVJtQQ!1RIs)^og-=W9vqK`V(8-2ZujF~<^kfWwnYRq zt-ZxCx2h$)Jeng+mK~@s86($j&6rf;ci=*c6vsrT&V)z zi9GBsO=x!M0mi#c5H7}mm}f5l#kRos@(pX}jo!W^u2F_0#Ia*Wp;ZSi6%|#y#6vGe zj-P&RJ=f=x9cu!kt|x_mXiQrYaogN0Q#3QnYV@PYv8djAf_H`x$@zu&`#(oAKsa%# zhpHqsK|9AJ`->k(&Xb%|S|+O}>t`Nblw97b!&AasW~5VU4rdeJA8-UMbHMh54<|?{ z*`IqrCWh02eRd99_*!QO57fQYEV^Z4GsEacY#`r&xw=vs6F=lqqp&|W(Kr+o6R;nR zAO)67Mg1no1U-25X+RN1;9-Zv7JY9rdLVNq6PV36%i}9tRrCAv@S7b?V?+_+RbjRp4vr3e5RH(Bf*n~iOJcn zzCJ(7n3CVlN>811EQ;x-!QBJQ0R7O`QwVg+uDcT-VgF$hw>V$V($1|q+HMh*8!q<` z>MCaKmQwHA3|>1=yq>6Ja21^}CRtG(;ItKno|UePH%MLQ3keA+AAffNI=vsj(ZqnQ zNk9Uc+Ej(kiH+m^_8rZ&mt{^L2uzVYFBQgcdTXObdaO0%-Q%P*PbCZC$nupl$UP4A z>0973FhGKYD^k`ls%~!&=4F)yLb^iy7H;FweA)bGNd&1;@lyxe5BLL}vrZl{ML-1f zjz0OVVdS?)X0W946uJ)aLI;ZvHL}zO-f%(K*^0ecAAN-BEvO!SmVKfH06(MY;<^3l z&l2CFezh@i$>1yBNz~<=>PP>I1n(lmyn4^T6>1*6zkXE%s|)esk!f1=!MomNQXqoKbdI;$yTI6hR0qUrJ zpD=OHS;%ty5sO~6wungO7;fc}``V}PrO#m4#l7!lnw;SL zfoTUk2EvVkoo|aBQg<8!??I+F>8fxfRi}7wZ*K&LaUjS(MXn@bSB>Tw*wa>G+zu0q z(}F@mx{z}A_V#{oOQWf3ALDd1RaJDJIDc+M-A`eCEzdy0I)|ktdA2=dUI!g6EHgU> ziHw{{>oU~dbeJgsb})l|`&$cSSFXIop0nM!=4NTQ?wwU>)(he#3hxRCXam@5&@`9N z*0;u^Sv1Q%oWA*l(6?1`=%F#Q~JW~79Pr+#jiHM*C=34AyzkKO=hkpTUkyn{X z|GDB;acTr6^S!k9o^=U623Qtsg4>AtY7r$NCNK$Cn%^dFKyf6aT8^pmarz&IhM1eO zZc;A>?F!(rveA61U=~t!Cr8imjQePZI(k=oQn@Nx>I{1l@nCf6I+4|8PkF z(>>fc6edKEMJ_8_eb}nMbB{WR>g(%kf&>o`R{V=~9Kg7yAj#8_HR;cUQdwDQ4y&%t z874*MO}bl{rGwdS?xC&d!tuezp_)=RtI94wWpaR8*7R_94LQcGU*YWHI1px( z60jGjvkYsgW=P4qe4j6OqWUc#-*8*}!)ep5=-CYWSKnvxoHT8dH)9pi%PYxKPh@IX z1K&AzJPm|vrx!qoP6gpzA;b_ce;fIzIb~?$IUz%yGn_s@NXtAM`0A>XtyvYhdsS~i zUHN-`$qPBA_hzdIB#mttW`)yoa{56qA{AyXt+=@F-^nRK96B$3qvbGRyZIs;KrV!Y z*QUBP(DoLRb^1z;0%`q-r|ZIHph#x(|Q&ew~h!YsYGK)hKCEFFJ}*sh2vbK^? zV?TJ9T(}$BI5b5aa#PL(Q#5b3{2*1a7 znD$53PuQ-3eQP@z_NpC6jQywrbF@ntsvT8u_rmz+x^UF8BTmiKCWfQ?lC2#eY7BLv%P4ZEGtD)*`!TE!&&1lB*%VJzGaB9TM|Hv0id1+XHW z{0~&F84{rZhgQ{4%{a<-+9D)TgH*~2%UODVfS5bTTg*}GdoSzT1+xCh)70FJY#f?>C6lUcZcfeS4;jFN z0{!MYZHeGQqp`crwq{*?naf-5zJJ=jXgXD%*@O|{~3b6 zLGnrn#_1t9e!K0F#L@_Bn`{u}e3EjibWJJbD^n_twud-@l-rkDFapVh;-D_m&OMUo z>6gaGpsUT4#*~w#I;3$mCByD%+)nKtI9x#@UWQM4jPSFM4A=TOIxnq^+%Y>8JMS0x zVATJIGr-NHz%SV?PN94okS0)Q+9oq{>c z*`<%SwziOp!5+|5#}*3UxPhmAiwU_2sM!#FK@RHxBVEy+-QYxRy}9~ahU68cxvAcr+SKhI${$Wa9qG3SYi{}q#r zb3-wLGgPB-X9qS@1#USQH=8OcjEA6iMxEuu^xVo!Oie>#VzPnw`!jZSO0R`!;0hb`IlPWfwObZ(gpT?hnDN+KSSwG&w#k%dMu~x1=rsA=D1ogw!Uc^); z*x2pnO@+?4?_Jlpjkgw*6g~wDseAJ^E{cuJgGuklr_hc&I@n|AmR;DIgkyOIM)Bn5qel)WD#f>dVo)=&|*vo2@|1HP~p|9r2l>e&JVx^@ZudLB`&9#<%X>j!hXc5Qm!L!nXr21NiRnp{Ao=IS;ChNrdX!Tdn@1G7r=m8m z`G%s=07#mOpy!+@Kpem-FVA#@GF*R6q$r9S8m900zMT8x;0n_(Btz}5sC3Z zld#c!v#F)79T`zp4sLmF%_^s&M&IkHKsd(C$}0EJu>D^h#>G|m@#lQG5>RlWqRv88 z_Ka^u2v#f-!K8o&rx&C`L!zQGBQ2^2uvaCHn25wplkZ_ON7CuLir!MecWdt9<2S~y zf@py0;-9=h;NA8jp~*&es#-=bHr&Aej^;jn+NL05p#&s!1JvLZK5!eGAin`%5-cu2 zfVUeO8~+8ywema!BNupY5Kqs{Fx}6ys(X;pn+|!LAmzQ!E981pS11x^6IytdVUgz`6ZzJ$ODfuoKoVUfiXD`rp5QUuEglR6EXF+1VAtso;R- z3J1;;maR@Gss8J-s?=8>Fe#Y%NX;#aGdzT|CVF>?*W-d!U^wGZCMB`QTmr zj}g)7L%sd|%sf1Q7O%pA@xZ_{tcc6QfMm^lqi6fBEG>pBvh9PITP=H%XFuR0qfOui zo=S*1f$Iw?|Aj)`F&7#nH;uEZONwHfMDb0d_#k%goV=gW%TzI9{+LO4b>IrR#8XM( zJ4cbi{0Kz3)Fn_hiU45HG5XfLa_tGWXaI-j)V<67_&{tUEibPwEiGNq0Uyx(`*#2x z1g~j@g({%VA}u4s|JRZDV`7^b^i-Gty^szGmC=ocK$eQNZG3s@wHkI#IeU;?m)ZE` z_~JzZ;-CGqlsuMr=8ZlRQa&oHZu;+`0vN<&ok+%>_MyzyzV+pZ0 zF>n8&Wt5zu;Y)%PZ&@XMuU8zBqB#LiMqk<8_8Tg<&42>fL_qPV+z;1~vdlAtSO1|E zI1(O=%T)fcu{n#2ja`3eS^6*-3^M4XC>bSi8KEqNgg2)WqrK4=91>zHV0jbCPCvzF zr-{N?-8A#zgib3Cm00xu$$Pm4IV>ZvXUHqC;UjVpkDpcS=?&jOh`!Y{1mXK2`0^Pn-vrVSi@Ch{T-tUfM@7G-5+!NBg7 z;6sUgVOpfV;fh@8knlco2>Y z9z5v=u|$RPL}c?pT}Fwap*~=)JEWnOM8;UcAK z&Yc0eq`bJ53Lz*96h~FBl6`gYWBke}b%e6Hm09FEA%E zt7R%c+I0&$0+bP#1V{MM|JU4ghDCL5>rpToO|YXxKs|tfG)3xAjfxr3mWJcKE5dq46!gecC4jimhRYWjs0ZHg8F1Ls~2a>SDDyt{E-e3pk^(e~2Z?3sNDtVg`)#k3MnBml> z*BAvYYgnb(lfS(V1>RPBH}th+jl;Z=;&MhX4iq`Db`<3wdD+3xKzs!kTdNhXX5{6C z3%1tOY?8^>Y0WzFEA_}ehRmYRpTb7JReqg-uFy7kCr;oj38bUs3y5?JM@B|A46O0O z?=Fh(-1kN<{KC`3l+i?sy?|9Be1a+oJd62sX@oO>bt46W_L>oy$|2sRg^SOeKCMf` zmP`$kLz5!cHi5rfyGC{Qtq~Woi`=g-Td+IkxT~I<9zn?M#S)y~Ohn=dvTu?b%a$!$ z2KJU+mEw1N>MNTzh4QoEG{CF1N^BPxU43_nZjsJ2@n%}0S_)eY^O?qct=9_D)o?mA+^xN9nMgl+rv`Wg$8={P0 z6R|`|%qIu$?SH#kq}#-xr+3{Qx%tgeF>`}+vAbyikVWq3T?J)^q>q+ zvs}RNG83!-V)g3sUFJS*A?9qm3>fmQ7Na}`j+Ydye>G-h8%{mZqD9Zos?7=ZOowgQ z+b|o+c5Frg{YX09)^iQ+DarIcu#u|!OUr^4?M*Tf7LV?_*cO@jW_BlhRtnr4^;rDd zxSA6^>KPds27poZ0IQ-YE**imlXCu&$?KDGTdm)}C^)HWt1>hC?d{xTF%&*eO?*qmNM*}vp6x+a^&$>G5N~T>Ej=9oG=5QWg7erJ}kK_v7|; zZU^~DB8)ZXCQoI!5vwaiKrp=Bv!UB!G`0@l?URc=r@+)U4saft!D;d+veDg8bl8QH8d^F8+9lE}A=hc~an&X=5;@ zcNNd}J8{FzO4e;F6>8gDx0Q+c_}#_i%++Sq<%8^ev!XC*Fc~CVac-tdOP?0!H=@UO zeJR5=l-i|mK4kgz-;4d>^Xxh^(Fo~viKvyOffh1_{kbeIvs4mtsAhpOVVV@6E}5D;g|I5!-QD~fA;zrsj_P@Pdrz|m1H|89Bt=^6c3mjsnkL+lB0dVH_4j zgeOeBLDdOP>=(tc49P2@sO8#=@1jBXCF~4#hg_g@eAq$pKk^El-32|7QTTByjH+&o zuMxTQUye~2X7ETQL-`;odm8!sKgxJCVb;;rB_;98QzABlx@uH{;*WuW&d7ha6d1o3 zp>jFM-k#@<>YQLYkID-aSXRW;!_&}XT09*U7dYpQMotWl3s0N!Lxf8EChHq6KNGeL zo}?alfD$>3O1IJ)_x4TTPN%!H=2NDpeSW&=d=9@#>DJuuvbQ9w#lCQ)LdwL*NQA`9 za9@`l%D;-l*dLcQz5E&E%K_c@CrGMPxme8I!a_4b9-=H8mkr*ey&VDhXyJ$KB=$QI zP0hBxvq{rKPnUZPm#$02)g-WfZYV@6mNQq{l&pWTs-u2bM}lG|2H#|&a)s^O%oMnO zWiCi_G~_y_Ge7S7a?T^GgZ;oxkc6O|!1(}z$WYkjE6a`K<&sXp@ZD!(5`~@tw}1;J zkxoWz^gqpdO3;PSl2rl%DP&D)`m(ho^+G_vhQkw3!k?*jFR0p3T`&}h3FAyN;WL6_ zhMsFaTSA?QgZ?400O0!>9KMaxx_f7c*LIuudSN4dhdw6J(#PH@c14jl(YC{RS3_tYlLR>c zV#Sxb~Px8Zjk)-rr6>H8wU*L@RWz@+mp_Q>+lhIS&rKov5u3 z6Ya3QeHtgzfztj9e2eRFuIS14KMkqwMsE;Z4nGNq2I79_&R7XSCtqWpjgKCUh3PKZgEd!HUO{Fj zU*PhyC%yfxIr?OwZEf$tbmhuWitx^zA*QS>>o7w@!)%{%TZfhhdr;nj%Vbf)5Xx+a zLrXR(s(~982h3)p(mq0x|t~f#F^uk4SPJ-(3>_^9qE~WWIN& zDuQ2X>GvG(sozWDJJ7y}3(Y9Pdv=C2w>L&;lG*uP2+aQ-;AU@3VA!2jWx*Qn=f4ut^roeMzjl*x;g*lJ5xl9mzI^; z;Ud_`)ILw@$c%{h0Q8Rs+5z{Ha|Ibg9aEhO4h@(s+U0d-NIZGEfX$|~gQLjWYhneTzU0S+yB($Rihp`0swADXZV(Zp> zyR?RcyaRlz`yp6I=Y3zw$?ZTzi#I}rQrE;M>Kh$AJH`d|JKr502|JatBU7!eS#ZEx zQ2(k*v`Td0w0h_r9YOs8R+w6@@((4HOv$cQsrlShUHh-MV?x61pMVqCf%CIaHeR1c z)e8HyKU}rEJy7xC(yY4&$otKA-m1w9$2R%K-D@2xoV0L1$ zQc9KqtC2s37Ort8|56@O7X5WeNORAd;^Kkg`G9eBpzo6iI{5zR!q>sv2euF8SANI2 z#bVR5KDaObBtEwvrk&0)i@JW@#&v6n7r;g;D7k`y0-!)YT9uU%!ZB_bBn$F|poQPm z;HsLh5h~(Ybb@AVW_Az7L=MDjvOgGWe}Z5V$0NnW#qE&F0CSa=h^p?0x4CTDuDw{{ zQLUJsTi2^Q`zg!@V+newcyc{4;iDoWCFJC)Kez`C{>JKuof|Tv5fdAG7aUxu7%y*9 z{!?)XzjE6gVfi{(yohQL2}nHuN)OZ?I?%vdBc7O?oSKl(9{w2=90cPX+zFW;8~M$U z4EPnWf-q(@KA;S--`w+E+5kV3i6{)ObkM=6PJ!l_)k1dqlGAXq0aR*!c)U_XNB3Q^ zzV=>J!`&(-R@%2d$Odv;)gal(AUUhCc1dbutKTaG3bVyzWYSAFlu@X%USsakz##}%`DgcI(Ev^rAt*pS8T(0mV`Xr3=SG~-66seqLKG` zCaKgN-xChSFA!ugx>Yva^g6&KWG9bBS>>s(hs3P}^|7!OXwx|3HW@WQjYj-=WOQ_s z-?Z+|oeRoVEnH~y`mHBadsP>*`2}>r*P5BNZZ6Ijla!M?h|fcA6gRtPc-z5GPZeH2 zWEiIz9i)Bo`TYikdoQB)v>&Wg;XIN?yM?v=>g0+Q65Y;4pw!o{SwoVv0Fp!e1M1c8 zV}8;#H9bBy?3xp)$*yV&&{Jc+@?56guCI=k66bFfh26n|fuC~Klb96Bnk$0+z7;!W zW@d)Z`YXS05p-cU&6AXFqmP6itZ~&(uWfTGY;$r|&En|vj}bS5@_M`P^CozlP>lv5 z1MYgcWS5}Z5@V)nG^*by*fpi?ifbOTDtQuP!85ZKkIQ29_lNo@&l)vZ)p|N1xQ%FD|K zmVbRt0RHhVXO&jwmd3Hmv+a$ntgI}PqesuZ7zO(R(QQJ|&{2#`r0H#cxy}X#`W9v9ikbdF*3oNR!{OLnC_a5P#Y`zIyEOoX=(Y zc3n5bMMdu-8?~jSh2TIOP`Dc=ORth&Na?9l#?Ipl*@ZI~)u7TJUYfq*F4aw1QRav7 zQROhP;m+*~k64G^K|29*;u8~hA4xUA4iPUeQfK)+2-k`;1XRE^e$Yx((e&xI&TN$J-o zAM9eA@T&ja%cwu)Ld?k+TnR-| zxC!hbTmp?{gf++Ma5QMhh4?;WZ7n4ua{%?^_wC>B&dTlgEW!oER|lg3pcAz=4#N>5 z^H`Jnf{v^_QOIjaRn=qUU>=o*M0aE(YMl*#Hbr|KQc@tCv!{Qv_D?Ki zLh7fbNkjSMIj*Aw4InOnl5ovliIH~1E>-Mxk9);iXVeHOy?9zC>oi_SN-A~gabjYk zQr1RE$WZ7o+)5Z!Il0WzF4mZpHpC}ZuESX+GCuxIkAJQh_6#belDp1_=vcf$>-OVO(-LWCB*xlYT?xbUe&K$(+&gs7R4H z*q>25lVsBh9U#rK74FDK)YLelu&@)=VU&RJO@q7%(_slvCt-T`6#; z5NMZ=;0@|q=dO5Vncq8|=t*b2?wt00SqX>yLx^JpS)6rRTBOVj958^M^nOxs<;oQU zr?QR3N+hzHpsSjlAw?JI02ClUSf6^GRp_P`d1mQVUC|)RaVmSlyOd-;G>uX9;M}ya z*j+_r$j9Er=8yfnNBc9RRUjFh|0t~^k(2B4;6g-NfBhAK9cF%U%-RSCv|JS)@m7YS z()#cQwbKpZe@&eCcfx*A1oHR3Z+>-7 z7E4w_LZuI_Jj|}5ZNP1UW@cj|BiG|t{0!%geJ(aDKdZX3(th06^3b6l&^IKfKt@jo z8-WqOno{zafWpb^NE+;v?|c=OyKj~_r38+o=CCg?fd{OfxSQ^*uBvjFJ6>3ro{L@~ z-ObLlC`NCZd=;#6^nqlUxtQN(V$!R~QaI#}(bU*E+`84}_gN2%7W`wnzX8DQ&I z>8HW9@7W{RAFRl1_RHVXLVp!fJp6ov+PF>$fS?=P#=@$31*p0N@kKO;+sx`!tLW7! z%BNT$8;Q#ea=-*Y7wZC9Xb1N&Gl1uIkMHZYj}sy~SHj1N7cF5-AWWvMa{~`tg#q4T z3n)X@S70O7EI{9|m_}QNoJobNwn|ZwUa{zLmMCH#iJe{Hn5SHPsoimLpv7J@8d}gq z0rWx=fnUs?JZttMqkKoT`fcbR!0Shi{X!2_EcO=Iu@3yC0zr-4UH2kFq-e})Pkma* zM1Ujx@%-ZIa4aTqfA8Oa1r`N-L;f%Nf?!nSJvz)w=@#Y=2}i(zKV_oA*IIGybCDJ+ zdwcuQrK54{*|}!vaLv6D-Yasr1Q6ls;U-v^A_E`d$-YF!J!#qFEhW*SV2wA zXW*3se8&XUL0nB4hh&^>bpnA80MhE$R&8x{+R92Ptew^G33N(Mp5gnk3F|oTpP_4p zwsRy&iDO=#>e?2^ydsaWhgl+}{mhux$ox7+B0$j(QO!ek609f?7fU9T3(g&7;}?gW zW7+4*GOY(Q9KzObzvaEpuYT%1(`D#W{*L+&Muvuvv2}h|r_pq*+$xJ`7T79CPr7o8 zCulinDheh2Y@yY7wH95c+}t+}FIJG9Gf`XnyT9`>HCnUMTDODz50Va>bCITjQ*!#E z`Uejl5GPhzT3Y95I=hs~a-=qE5yamx658FjB(J_l{q)Vkq?QGcswjJS82^nf45m;v z{x~5&0$O8(Q(>i9{hfkGA?CeDlj=eupz^b%VoCpov(s$G>?W7*onanI!Rm zIR9{C3jAFAP6SXLk|ABQDcjY@E=cO9PmsnMn(J{T3fD9+0?W_3NB|oLXeg3Cru>w8<{KZFzai-f0a_Dzi%J zu|Bo$?(CD)M?A!d5BV=*eCSY3XU8k(UGwBq%6eRV4q?qY@k|;T9H%^8_I2kax4IoW zb}&p=9^AiQ{nnx;SZyq3KzwYhL`r|p3|3l(zZe=?E%9RRctPPQ7CynO+6?;}aJ~8@ z?7*mkRS_K?p78MD!_Lv?EbR7rG<;k)5$}fcJawIya*mHPqHMpZ5v64Zu_8sy_XmFM zsZYlIXL>Ih3sz+s;I&}i-SLi`?4nn=`QC13MgXZjTyhN2B{=lvGO@rzQ-yDdqzoOg zwz7hGu~l3=dC%Lt7JCQ|IMn#0`o(IqX}#6#{d+eG2dTLW(iSRsWB?OON-bU zs&1VMG3+FNy{ks)Sq~oYNyZQB@+-P4C}>c2gaEn&z*R}VZSV z)QMy;q!?9AGo6)BSiPb3K%WD90884JRB{z@IzKCE<-3s)*VQzb4S|RPrcgq)eU1KL z`>Sq45vEwe!w8LXmj+k^m!|*B@B)@X=_sK90bNoA|ihc|CdXwpPaP zFy}#K5C>1fOV0f|^?!3tht_VNK@qfeej<7Jp7yxs9{c@eMMY#pL~RwyWCUrw6a14* q5&4&7 Date: Thu, 5 Mar 2026 10:54:07 -0800 Subject: [PATCH 14/20] actually ok --- ...5-26-check-fft-size-and-slen-spergel.ipynb | 125 ++++++++++++++++++ 1 file changed, 125 insertions(+) create mode 100644 notebooks/mach5-26-check-fft-size-and-slen-spergel.ipynb diff --git a/notebooks/mach5-26-check-fft-size-and-slen-spergel.ipynb b/notebooks/mach5-26-check-fft-size-and-slen-spergel.ipynb new file mode 100644 index 00000000..92080e6d --- /dev/null +++ b/notebooks/mach5-26-check-fft-size-and-slen-spergel.ipynb @@ -0,0 +1,125 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "042ffc1c", + "metadata": {}, + "outputs": [], + "source": [ + "import galsim " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "3ca71a3e", + "metadata": {}, + "outputs": [], + "source": [ + "def draw_spergel(\n", + " *,\n", + " nu: float,\n", + " f: float,\n", + " hlr: float,\n", + " e1: float,\n", + " e2: float,\n", + " psf_fwhm: float = 0.8,\n", + "):\n", + "\n", + " gal = galsim.Spergel(nu=nu, flux=f, half_light_radius=hlr)\n", + " gal = gal.shear(g1=e1, g2=e2)\n", + "\n", + " psf = galsim.Gaussian(flux=1.0, fwhm=psf_fwhm)\n", + " gal_conv = galsim.Convolve([gal, psf])\n", + " return gal_conv" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "511ef4db", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "50\n", + "40\n", + "36\n", + "34\n", + "34\n", + "34\n", + "34\n", + "34\n", + "34\n", + "34\n", + "\n", + "64\n" + ] + } + ], + "source": [ + "for nu in [-0.6, -0.4, -0.2, 0.0, 0.1, 0.3, 0.5, 1.0, 2.0, 3.0]:\n", + " gal = draw_spergel(nu=nu, f=1000, hlr=0.4, e1=0.1, e2=0.2)\n", + " image = gal.drawImage(nx=63, ny=63, scale=0.2, offset=(0, 0))\n", + " print(gal.getGoodImageSize(0.2))\n", + "print()\n", + "print(galsim.Image.good_fft_size(63))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "11ebf149", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "50" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gal.getGoodImageSize(0.2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "31c56937", + "metadata": {}, + "outputs": [], + "source": [ + "gal." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bpd_gpu", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 72590412f0785e53d4d756481365aa136c754383 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Thu, 5 Mar 2026 10:54:22 -0800 Subject: [PATCH 15/20] time comparison much better --- notebooks/feb20-26-test_moffat-new.ipynb | 191 +++++++++++++++++++++++ notebooks/feb20-26-test_moffat-old.ipynb | 191 +++++++++++++++++++++++ 2 files changed, 382 insertions(+) create mode 100644 notebooks/feb20-26-test_moffat-new.ipynb create mode 100644 notebooks/feb20-26-test_moffat-old.ipynb diff --git a/notebooks/feb20-26-test_moffat-new.ipynb b/notebooks/feb20-26-test_moffat-new.ipynb new file mode 100644 index 00000000..f567b737 --- /dev/null +++ b/notebooks/feb20-26-test_moffat-new.ipynb @@ -0,0 +1,191 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 15, + "id": "f56dbc17-62c9-4396-b3e7-7a98d18e1211", + "metadata": {}, + "outputs": [], + "source": [ + "import galsim\n", + "import jax.numpy as jnp\n", + "import jax_galsim as xgalsim\n", + "from jax import random\n", + "from jax._src.prng import PRNGKeyArray\n", + "from jax.typing import ArrayLike\n", + "from jax_galsim import GSParams\n", + "\n", + "from functools import partial\n", + "\n", + "import jax " + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "1a9cae5a-ae0f-41e8-815b-ee802f936ad8", + "metadata": {}, + "outputs": [], + "source": [ + "def draw_gaussian(\n", + " *,\n", + " f: float,\n", + " hlr: float,\n", + " e1: float,\n", + " e2: float,\n", + " x: float, # pixels\n", + " y: float,\n", + " slen: int,\n", + " fft_size: int, # rule of thumb: at least 4 times `slen`\n", + " psf_fwhm: float = 0.8,\n", + " pixel_scale: float = 0.2,\n", + "):\n", + " gsparams = GSParams(minimum_fft_size=fft_size, maximum_fft_size=fft_size)\n", + "\n", + " gal = xgalsim.Gaussian(flux=f, half_light_radius=hlr)\n", + " gal = gal.shear(g1=e1, g2=e2)\n", + "\n", + " psf = xgalsim.Gaussian(flux=1.0, fwhm=0.8)\n", + " gal_conv = xgalsim.Convolve([gal, psf]).withGSParams(gsparams)\n", + " image = gal_conv.drawImage(nx=slen, ny=slen, scale=pixel_scale, offset=(x, y))\n", + " return image.array" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "f1e41815-b46b-441d-900e-7df655a889ee", + "metadata": {}, + "outputs": [], + "source": [ + "def draw_gaussian_moffat(\n", + " *,\n", + " f: float,\n", + " hlr: float,\n", + " e1: float,\n", + " e2: float,\n", + " x: float, # pixels\n", + " y: float,\n", + " slen: int,\n", + " fft_size: int, # rule of thumb: at least 4 times `slen`\n", + " psf_fwhm: float = 0.8,\n", + " pixel_scale: float = 0.2,\n", + "):\n", + " gsparams = GSParams(minimum_fft_size=fft_size, maximum_fft_size=fft_size)\n", + "\n", + " gal = xgalsim.Gaussian(flux=f, half_light_radius=hlr)\n", + " gal = gal.shear(g1=e1, g2=e2)\n", + "\n", + " psf = xgalsim.Moffat(flux=1.0, scale_radius=0.8, beta=2.0)\n", + " gal_conv = xgalsim.Convolve([gal, psf]).withGSParams(gsparams)\n", + " image = gal_conv.drawImage(nx=slen, ny=slen, scale=pixel_scale, offset=(x, y))\n", + " return image.array" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "ed271d22-b47c-4b82-8921-65bd8b32d719", + "metadata": {}, + "outputs": [], + "source": [ + "_func1 = jax.jit(partial(draw_gaussian, slen=63, fft_size=256))\n", + "_ = _func1(f=1.0, hlr=1.0, e1=0.2, e2=0.2, x=0., y=0.0)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "62501c9e-7a53-4376-8dd3-83fc31dbc288", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "228 μs ± 4.69 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "_func1(f=1.0, hlr=1.0, e1=0.2, e2=0.2, x=0., y=0.0)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "6b297349-3516-4226-b863-3f3f846e9676", + "metadata": {}, + "outputs": [], + "source": [ + "_func2 = jax.jit(partial(draw_gaussian_moffat, slen=63, fft_size=256))\n", + "_ = _func2(f=1.0, hlr=1.0, e1=0.2, e2=0.2, x=0., y=0.0)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "a2b10347-57b8-4b43-92f1-ffe91bae6ba3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2.16 ms ± 20.6 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "_func2(f=1.0, hlr=1.0, e1=0.2, e2=0.2, x=0., y=0.0) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae7287d2-d57a-457a-a79d-4b3afd9394fb", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "11f5b52b-d105-43b9-b7e9-714b80efa748", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4085d869-ecfa-4e77-8cd2-314fa7bc54ab", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bpd_uv", + "language": "python", + "name": "bpd_uv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/feb20-26-test_moffat-old.ipynb b/notebooks/feb20-26-test_moffat-old.ipynb new file mode 100644 index 00000000..31eb2c16 --- /dev/null +++ b/notebooks/feb20-26-test_moffat-old.ipynb @@ -0,0 +1,191 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "f56dbc17-62c9-4396-b3e7-7a98d18e1211", + "metadata": {}, + "outputs": [], + "source": [ + "import galsim\n", + "import jax.numpy as jnp\n", + "import jax_galsim as xgalsim\n", + "from jax import random\n", + "from jax._src.prng import PRNGKeyArray\n", + "from jax.typing import ArrayLike\n", + "from jax_galsim import GSParams\n", + "\n", + "from functools import partial\n", + "\n", + "import jax " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1a9cae5a-ae0f-41e8-815b-ee802f936ad8", + "metadata": {}, + "outputs": [], + "source": [ + "def draw_gaussian_gaussian_psf(\n", + " *,\n", + " f: float,\n", + " hlr: float,\n", + " e1: float,\n", + " e2: float,\n", + " x: float, # pixels\n", + " y: float,\n", + " slen: int,\n", + " fft_size: int, # rule of thumb: at least 4 times `slen`\n", + " psf_fwhm: float = 0.8,\n", + " pixel_scale: float = 0.2,\n", + "):\n", + " gsparams = GSParams(minimum_fft_size=fft_size, maximum_fft_size=fft_size)\n", + "\n", + " gal = xgalsim.Gaussian(flux=f, half_light_radius=hlr)\n", + " gal = gal.shear(g1=e1, g2=e2)\n", + "\n", + " psf = xgalsim.Gaussian(flux=1.0, fwhm=0.8)\n", + " gal_conv = xgalsim.Convolve([gal, psf]).withGSParams(gsparams)\n", + " image = gal_conv.drawImage(nx=slen, ny=slen, scale=pixel_scale, offset=(x, y))\n", + " return image.array" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "f1e41815-b46b-441d-900e-7df655a889ee", + "metadata": {}, + "outputs": [], + "source": [ + "def draw_gaussian_moffat_psf(\n", + " *,\n", + " f: float,\n", + " hlr: float,\n", + " e1: float,\n", + " e2: float,\n", + " x: float, # pixels\n", + " y: float,\n", + " slen: int,\n", + " fft_size: int, # rule of thumb: at least 4 times `slen`\n", + " psf_fwhm: float = 0.8,\n", + " pixel_scale: float = 0.2,\n", + "):\n", + " gsparams = GSParams(minimum_fft_size=fft_size, maximum_fft_size=fft_size)\n", + "\n", + " gal = xgalsim.Gaussian(flux=f, half_light_radius=hlr)\n", + " gal = gal.shear(g1=e1, g2=e2)\n", + "\n", + " psf = xgalsim.Moffat(flux=1.0, scale_radius=0.8, beta=2.0)\n", + " gal_conv = xgalsim.Convolve([gal, psf]).withGSParams(gsparams)\n", + " image = gal_conv.drawImage(nx=slen, ny=slen, scale=pixel_scale, offset=(x, y))\n", + " return image.array" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ed271d22-b47c-4b82-8921-65bd8b32d719", + "metadata": {}, + "outputs": [], + "source": [ + "_func1 = jax.jit(partial(draw_gaussian_gaussian_psf, slen=73, fft_size=256))\n", + "_ = _func1(f=1.0, hlr=1.0, e1=0.2, e2=0.2, x=0., y=0.0)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "62501c9e-7a53-4376-8dd3-83fc31dbc288", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "233 μs ± 7.61 μs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "_func1(f=1.0, hlr=1.0, e1=0.2, e2=0.2, x=0., y=0.0)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "6b297349-3516-4226-b863-3f3f846e9676", + "metadata": {}, + "outputs": [], + "source": [ + "_func2 = jax.jit(partial(draw_gaussian_moffat_psf, slen=63, fft_size=256))\n", + "_ = _func2(f=1.0, hlr=1.0, e1=0.2, e2=0.2, x=0., y=0.0)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "a2b10347-57b8-4b43-92f1-ffe91bae6ba3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "29.4 ms ± 75.3 μs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "_func2(f=1.0, hlr=1.0, e1=0.2, e2=0.2, x=0., y=0.0) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae7287d2-d57a-457a-a79d-4b3afd9394fb", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d7b66598-9787-4cf3-95d7-2035f7f4be48", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0e4faa0b-8e05-417f-a9c4-6e3324f051d7", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "bpd_uv", + "language": "python", + "name": "bpd_uv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From a58dadf90823a1db90d2962cd43d2288c4b9e165 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Thu, 5 Mar 2026 10:54:30 -0800 Subject: [PATCH 16/20] no changes --- notebooks/future/spergel-speed1.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/notebooks/future/spergel-speed1.ipynb b/notebooks/future/spergel-speed1.ipynb index 1700bb99..be673ea3 100644 --- a/notebooks/future/spergel-speed1.ipynb +++ b/notebooks/future/spergel-speed1.ipynb @@ -284,9 +284,9 @@ ], "metadata": { "kernelspec": { - "display_name": "bpd_gpu3", + "display_name": "bpd_uv", "language": "python", - "name": "bpd_gpu3" + "name": "bpd_uv" }, "language_info": { "codemirror_mode": { @@ -298,7 +298,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.8" + "version": "3.12.12" } }, "nbformat": 4, From aa254591c0536f6f89d7f66096600dce3e99016e Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Thu, 5 Mar 2026 10:54:43 -0800 Subject: [PATCH 17/20] jax galsim version --- uv.lock | 529 ++++++++++++++++++++++++++++---------------------------- 1 file changed, 266 insertions(+), 263 deletions(-) diff --git a/uv.lock b/uv.lock index 28ea5fdc..0fe53992 100644 --- a/uv.lock +++ b/uv.lock @@ -9,11 +9,20 @@ resolution-markers = [ [[package]] name = "absl-py" -version = "2.3.1" +version = "2.4.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/10/2a/c93173ffa1b39c1d0395b7e842bbdc62e556ca9d8d3b5572926f3e4ca752/absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9", size = 116588, upload-time = "2025-07-03T09:31:44.05Z" } +sdist = { url = "https://files.pythonhosted.org/packages/64/c7/8de93764ad66968d19329a7e0c147a2bb3c7054c554d4a119111b8f9440f/absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4", size = 116543, upload-time = "2026-01-28T10:17:05.322Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/8f/aa/ba0014cc4659328dc818a28827be78e6d97312ab0cb98105a770924dc11e/absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d", size = 135811, upload-time = "2025-07-03T09:31:42.253Z" }, + { url = "https://files.pythonhosted.org/packages/18/a6/907a406bb7d359e6a63f99c313846d9eec4f7e6f7437809e03aa00fa3074/absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d", size = 135750, upload-time = "2026-01-28T10:17:04.19Z" }, +] + +[[package]] +name = "annotated-doc" +version = "0.0.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" }, ] [[package]] @@ -110,7 +119,7 @@ wheels = [ [[package]] name = "arviz" -version = "0.23.1" +version = "0.23.4" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "h5netcdf" }, @@ -120,18 +129,20 @@ dependencies = [ { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "packaging" }, { name = "pandas" }, + { name = "platformdirs" }, { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "setuptools" }, { name = "typing-extensions" }, { name = "xarray", version = "2025.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "xarray", version = "2025.12.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "xarray", version = "2026.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "xarray-einstats", version = "0.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "xarray-einstats", version = "0.9.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "xarray-einstats", version = "0.9.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, + { name = "xarray-einstats", version = "0.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/da/02/b4ccea40a0a9cf4ae4dde0937b1eeecd1f6540be7fd3f12399c9d3554868/arviz-0.23.1.tar.gz", hash = "sha256:2a91f4c84a85ef6b41d62fa337aa059a6c83ba10db4603e359a95981eb69c10d", size = 1592841, upload-time = "2026-01-16T15:07:24.374Z" } +sdist = { url = "https://files.pythonhosted.org/packages/f3/c9/9c853633715f972eecc20995763c6e3005a3afcdcf47e39d20cd1c2889cd/arviz-0.23.4.tar.gz", hash = "sha256:611be826995066036c9443ea98d11486c279ef3da3b6cdc5c0816fab434115b9", size = 1592968, upload-time = "2026-02-04T17:57:53.664Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/5c/45/2bd99d76ee0c6cb304a7542db7f0e13a844f2c2c5febf9cf6dd7b19405c2/arviz-0.23.1-py3-none-any.whl", hash = "sha256:2b52c6327a158cbef9970647c8056e453c7e788e97a4446afb1f6a3ba2e0cbe0", size = 1673608, upload-time = "2026-01-16T15:07:22.106Z" }, + { url = "https://files.pythonhosted.org/packages/44/1f/227f9cb7edcd3e14ab05928f3db00e9d595c0f269c87bf35f565ce44941b/arviz-0.23.4-py3-none-any.whl", hash = "sha256:c46c7faf8a06abadc9b5b64000584062ecbc20c2298e2bd6dfba04bb01a684ca", size = 1673773, upload-time = "2026-02-04T17:57:51.778Z" }, ] [[package]] @@ -202,11 +213,11 @@ wheels = [ [[package]] name = "astropy-iers-data" -version = "0.2026.1.26.0.43.56" +version = "0.2026.2.16.0.48.25" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/05/0b/1852f436e721542c2bdf98de5e5dc480bc267f07cad72886b1d68028d02e/astropy_iers_data-0.2026.1.26.0.43.56.tar.gz", hash = "sha256:0e50352ecbd2376978db559180bdfc937e240a57c313061e26359197ea69fa15", size = 1920962, upload-time = "2026-01-26T00:44:38.866Z" } +sdist = { url = "https://files.pythonhosted.org/packages/dc/ce/9aed8765e4dcb2e12afd545c7ce63f2b9bcad592afcb9a0d5437d872060d/astropy_iers_data-0.2026.2.16.0.48.25.tar.gz", hash = "sha256:be14512844e71536a15e165d729385f3cb4865d7822172509e68c4ac79322067", size = 1926145, upload-time = "2026-02-16T00:49:11.138Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/45/21/0af5ba5644848dc9ea419e505692d146d1a74c400665c379523af5134bb7/astropy_iers_data-0.2026.1.26.0.43.56-py3-none-any.whl", hash = "sha256:355e0e669dd883bd0aaae909cd5e767897ccdc6c96a71b93f2580b86252e8054", size = 1977404, upload-time = "2026-01-26T00:44:36.182Z" }, + { url = "https://files.pythonhosted.org/packages/49/94/dcdac330d2c26776956555610ef584147584acc6b060e451aa65dd9142d9/astropy_iers_data-0.2026.2.16.0.48.25-py3-none-any.whl", hash = "sha256:180d1c3f59d18aa616345560799c2d88ec6e5164b8c45c746380acf892946136", size = 1982562, upload-time = "2026-02-16T00:49:09.602Z" }, ] [[package]] @@ -280,7 +291,7 @@ dev = [ { name = "chainconsumer" }, { name = "ipykernel" }, { name = "ipython", version = "8.38.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "ipython", version = "9.9.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "pytest" }, { name = "ruff" }, { name = "typer" }, @@ -384,25 +395,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/75/ca/777cd62182aeef7766540008cab9778d94438fdaf2f2c037350cdc0402dd/chainconsumer-1.3.0-py3-none-any.whl", hash = "sha256:e6af3734cf05579b13481766627f704acd5de527d6bcf456ccbf7b2b0d417c5a", size = 51995, upload-time = "2025-12-12T06:23:33.059Z" }, ] -[[package]] -name = "chex" -version = "0.1.90" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "absl-py" }, - { name = "jax" }, - { name = "jaxlib" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "setuptools", marker = "python_full_version >= '3.12'" }, - { name = "toolz" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/77/70/53c7d404ce9e2a94009aea7f77ef6e392f6740e071c62683a506647c520f/chex-0.1.90.tar.gz", hash = "sha256:d3c375aeb6154b08f1cccd2bee4ed83659ee2198a6acf1160d2fe2e4a6c87b5c", size = 92363, upload-time = "2025-07-23T19:50:47.945Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/6f/3d/46bb04776c465cea2dd8aa2d4b61ab610b707f798f47838ef7e6105b025c/chex-0.1.90-py3-none-any.whl", hash = "sha256:fce3de82588f72d4796e545e574a433aa29229cbdcf792555e41bead24b704ae", size = 101047, upload-time = "2025-07-23T19:50:46.603Z" }, -] - [[package]] name = "click" version = "8.3.1" @@ -545,23 +537,23 @@ wheels = [ [[package]] name = "debugpy" -version = "1.8.19" +version = "1.8.20" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/73/75/9e12d4d42349b817cd545b89247696c67917aab907012ae5b64bbfea3199/debugpy-1.8.19.tar.gz", hash = "sha256:eea7e5987445ab0b5ed258093722d5ecb8bb72217c5c9b1e21f64efe23ddebdb", size = 1644590, upload-time = "2025-12-15T21:53:28.044Z" } +sdist = { url = "https://files.pythonhosted.org/packages/e0/b7/cd8080344452e4874aae67c40d8940e2b4d47b01601a8fd9f44786c757c7/debugpy-1.8.20.tar.gz", hash = "sha256:55bc8701714969f1ab89a6d5f2f3d40c36f91b2cbe2f65d98bf8196f6a6a2c33", size = 1645207, upload-time = "2026-01-29T23:03:28.199Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/bf/98/d57054371887f37d3c959a7a8dc3c76b763acb65f5e78d849d7db7cadc5b/debugpy-1.8.19-cp310-cp310-macosx_15_0_x86_64.whl", hash = "sha256:fce6da15d73be5935b4438435c53adb512326a3e11e4f90793ea87cd9f018254", size = 2098493, upload-time = "2025-12-15T21:53:30.149Z" }, - { url = "https://files.pythonhosted.org/packages/ee/dd/c517b9aa3500157a30e4f4c4f5149f880026bd039d2b940acd2383a85d8e/debugpy-1.8.19-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:e24b1652a1df1ab04d81e7ead446a91c226de704ff5dde6bd0a0dbaab07aa3f2", size = 3087875, upload-time = "2025-12-15T21:53:31.511Z" }, - { url = "https://files.pythonhosted.org/packages/d8/57/3d5a5b0da9b63445253107ead151eff29190c6ad7440c68d1a59d56613aa/debugpy-1.8.19-cp310-cp310-win32.whl", hash = "sha256:327cb28c3ad9e17bc925efc7f7018195fd4787c2fe4b7af1eec11f1d19bdec62", size = 5239378, upload-time = "2025-12-15T21:53:32.979Z" }, - { url = "https://files.pythonhosted.org/packages/a6/36/7f9053c4c549160c87ae7e43800138f2695578c8b65947114c97250983b6/debugpy-1.8.19-cp310-cp310-win_amd64.whl", hash = "sha256:b7dd275cf2c99e53adb9654f5ae015f70415bbe2bacbe24cfee30d54b6aa03c5", size = 5271129, upload-time = "2025-12-15T21:53:35.085Z" }, - { url = "https://files.pythonhosted.org/packages/80/e2/48531a609b5a2aa94c6b6853afdfec8da05630ab9aaa96f1349e772119e9/debugpy-1.8.19-cp311-cp311-macosx_15_0_universal2.whl", hash = "sha256:c5dcfa21de1f735a4f7ced4556339a109aa0f618d366ede9da0a3600f2516d8b", size = 2207620, upload-time = "2025-12-15T21:53:37.1Z" }, - { url = "https://files.pythonhosted.org/packages/1b/d4/97775c01d56071969f57d93928899e5616a4cfbbf4c8cc75390d3a51c4a4/debugpy-1.8.19-cp311-cp311-manylinux_2_34_x86_64.whl", hash = "sha256:806d6800246244004625d5222d7765874ab2d22f3ba5f615416cf1342d61c488", size = 3170796, upload-time = "2025-12-15T21:53:38.513Z" }, - { url = "https://files.pythonhosted.org/packages/8d/7e/8c7681bdb05be9ec972bbb1245eb7c4c7b0679bb6a9e6408d808bc876d3d/debugpy-1.8.19-cp311-cp311-win32.whl", hash = "sha256:783a519e6dfb1f3cd773a9bda592f4887a65040cb0c7bd38dde410f4e53c40d4", size = 5164287, upload-time = "2025-12-15T21:53:40.857Z" }, - { url = "https://files.pythonhosted.org/packages/f2/a8/aaac7ff12ddf5d68a39e13a423a8490426f5f661384f5ad8d9062761bd8e/debugpy-1.8.19-cp311-cp311-win_amd64.whl", hash = "sha256:14035cbdbb1fe4b642babcdcb5935c2da3b1067ac211c5c5a8fdc0bb31adbcaa", size = 5188269, upload-time = "2025-12-15T21:53:42.359Z" }, - { url = "https://files.pythonhosted.org/packages/4a/15/d762e5263d9e25b763b78be72dc084c7a32113a0bac119e2f7acae7700ed/debugpy-1.8.19-cp312-cp312-macosx_15_0_universal2.whl", hash = "sha256:bccb1540a49cde77edc7ce7d9d075c1dbeb2414751bc0048c7a11e1b597a4c2e", size = 2549995, upload-time = "2025-12-15T21:53:43.773Z" }, - { url = "https://files.pythonhosted.org/packages/a7/88/f7d25c68b18873b7c53d7c156ca7a7ffd8e77073aa0eac170a9b679cf786/debugpy-1.8.19-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:e9c68d9a382ec754dc05ed1d1b4ed5bd824b9f7c1a8cd1083adb84b3c93501de", size = 4309891, upload-time = "2025-12-15T21:53:45.26Z" }, - { url = "https://files.pythonhosted.org/packages/c5/4f/a65e973aba3865794da65f71971dca01ae66666132c7b2647182d5be0c5f/debugpy-1.8.19-cp312-cp312-win32.whl", hash = "sha256:6599cab8a783d1496ae9984c52cb13b7c4a3bd06a8e6c33446832a5d97ce0bee", size = 5286355, upload-time = "2025-12-15T21:53:46.763Z" }, - { url = "https://files.pythonhosted.org/packages/d8/3a/d3d8b48fec96e3d824e404bf428276fb8419dfa766f78f10b08da1cb2986/debugpy-1.8.19-cp312-cp312-win_amd64.whl", hash = "sha256:66e3d2fd8f2035a8f111eb127fa508469dfa40928a89b460b41fd988684dc83d", size = 5328239, upload-time = "2025-12-15T21:53:48.868Z" }, - { url = "https://files.pythonhosted.org/packages/25/3e/e27078370414ef35fafad2c06d182110073daaeb5d3bf734b0b1eeefe452/debugpy-1.8.19-py2.py3-none-any.whl", hash = "sha256:360ffd231a780abbc414ba0f005dad409e71c78637efe8f2bd75837132a41d38", size = 5292321, upload-time = "2025-12-15T21:54:16.024Z" }, + { url = "https://files.pythonhosted.org/packages/71/be/8bd693a0b9d53d48c8978fa5d889e06f3b5b03e45fd1ea1e78267b4887cb/debugpy-1.8.20-cp310-cp310-macosx_15_0_x86_64.whl", hash = "sha256:157e96ffb7f80b3ad36d808646198c90acb46fdcfd8bb1999838f0b6f2b59c64", size = 2099192, upload-time = "2026-01-29T23:03:29.707Z" }, + { url = "https://files.pythonhosted.org/packages/77/1b/85326d07432086a06361d493d2743edd0c4fc2ef62162be7f8618441ac37/debugpy-1.8.20-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:c1178ae571aff42e61801a38b007af504ec8e05fde1c5c12e5a7efef21009642", size = 3088568, upload-time = "2026-01-29T23:03:31.467Z" }, + { url = "https://files.pythonhosted.org/packages/e8/60/3e08462ee3eccd10998853eb35947c416e446bfe2bc37dbb886b9044586c/debugpy-1.8.20-cp310-cp310-win32.whl", hash = "sha256:c29dd9d656c0fbd77906a6e6a82ae4881514aa3294b94c903ff99303e789b4a2", size = 5284399, upload-time = "2026-01-29T23:03:33.678Z" }, + { url = "https://files.pythonhosted.org/packages/72/43/09d49106e770fe558ced5e80df2e3c2ebee10e576eda155dcc5670473663/debugpy-1.8.20-cp310-cp310-win_amd64.whl", hash = "sha256:3ca85463f63b5dd0aa7aaa933d97cbc47c174896dcae8431695872969f981893", size = 5316388, upload-time = "2026-01-29T23:03:35.095Z" }, + { url = "https://files.pythonhosted.org/packages/51/56/c3baf5cbe4dd77427fd9aef99fcdade259ad128feeb8a786c246adb838e5/debugpy-1.8.20-cp311-cp311-macosx_15_0_universal2.whl", hash = "sha256:eada6042ad88fa1571b74bd5402ee8b86eded7a8f7b827849761700aff171f1b", size = 2208318, upload-time = "2026-01-29T23:03:36.481Z" }, + { url = "https://files.pythonhosted.org/packages/9a/7d/4fa79a57a8e69fe0d9763e98d1110320f9ecd7f1f362572e3aafd7417c9d/debugpy-1.8.20-cp311-cp311-manylinux_2_34_x86_64.whl", hash = "sha256:7de0b7dfeedc504421032afba845ae2a7bcc32ddfb07dae2c3ca5442f821c344", size = 3171493, upload-time = "2026-01-29T23:03:37.775Z" }, + { url = "https://files.pythonhosted.org/packages/7d/f2/1e8f8affe51e12a26f3a8a8a4277d6e60aa89d0a66512f63b1e799d424a4/debugpy-1.8.20-cp311-cp311-win32.whl", hash = "sha256:773e839380cf459caf73cc533ea45ec2737a5cc184cf1b3b796cd4fd98504fec", size = 5209240, upload-time = "2026-01-29T23:03:39.109Z" }, + { url = "https://files.pythonhosted.org/packages/d5/92/1cb532e88560cbee973396254b21bece8c5d7c2ece958a67afa08c9f10dc/debugpy-1.8.20-cp311-cp311-win_amd64.whl", hash = "sha256:1f7650546e0eded1902d0f6af28f787fa1f1dbdbc97ddabaf1cd963a405930cb", size = 5233481, upload-time = "2026-01-29T23:03:40.659Z" }, + { url = "https://files.pythonhosted.org/packages/14/57/7f34f4736bfb6e00f2e4c96351b07805d83c9a7b33d28580ae01374430f7/debugpy-1.8.20-cp312-cp312-macosx_15_0_universal2.whl", hash = "sha256:4ae3135e2089905a916909ef31922b2d733d756f66d87345b3e5e52b7a55f13d", size = 2550686, upload-time = "2026-01-29T23:03:42.023Z" }, + { url = "https://files.pythonhosted.org/packages/ab/78/b193a3975ca34458f6f0e24aaf5c3e3da72f5401f6054c0dfd004b41726f/debugpy-1.8.20-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:88f47850a4284b88bd2bfee1f26132147d5d504e4e86c22485dfa44b97e19b4b", size = 4310588, upload-time = "2026-01-29T23:03:43.314Z" }, + { url = "https://files.pythonhosted.org/packages/c1/55/f14deb95eaf4f30f07ef4b90a8590fc05d9e04df85ee379712f6fb6736d7/debugpy-1.8.20-cp312-cp312-win32.whl", hash = "sha256:4057ac68f892064e5f98209ab582abfee3b543fb55d2e87610ddc133a954d390", size = 5331372, upload-time = "2026-01-29T23:03:45.526Z" }, + { url = "https://files.pythonhosted.org/packages/a1/39/2bef246368bd42f9bd7cba99844542b74b84dacbdbea0833e610f384fee8/debugpy-1.8.20-cp312-cp312-win_amd64.whl", hash = "sha256:a1a8f851e7cf171330679ef6997e9c579ef6dd33c9098458bd9986a0f4ca52e3", size = 5372835, upload-time = "2026-01-29T23:03:47.245Z" }, + { url = "https://files.pythonhosted.org/packages/e0/c3/7f67dea8ccf8fdcb9c99033bbe3e90b9e7395415843accb81428c441be2d/debugpy-1.8.20-py2.py3-none-any.whl", hash = "sha256:5be9bed9ae3be00665a06acaa48f8329d2b9632f15fd09f6a9a8c8d9907e54d7", size = 5337658, upload-time = "2026-01-29T23:04:17.404Z" }, ] [[package]] @@ -606,7 +598,8 @@ version = "0.13.4" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "jax" }, - { name = "jaxtyping" }, + { name = "jaxtyping", version = "0.3.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "jaxtyping", version = "0.3.9", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "typing-extensions" }, { name = "wadler-lindig" }, ] @@ -638,14 +631,11 @@ wheels = [ [[package]] name = "fastcore" -version = "1.12.6" +version = "1.12.15" source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "packaging" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/66/c3/9ae4116e08092dd731a9bd2863486adaee347ae0bfee15a4ac5cd7e026f1/fastcore-1.12.6.tar.gz", hash = "sha256:8a5e71e3e09455ec911a718469a2e8c5dbefdeee70e5ef0ad844db99b2e67b4e", size = 92461, upload-time = "2026-01-27T03:26:48.133Z" } +sdist = { url = "https://files.pythonhosted.org/packages/b8/12/fec2fb9131b8d726f4b148f5365a098d9b408e215472085220fab7b9ec7a/fastcore-1.12.15.tar.gz", hash = "sha256:1de1106e2d2fc0369a5054f85152321740676b876cb67d15492801cd29b12e86", size = 92410, upload-time = "2026-02-20T04:59:37.615Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/65/72/69633dfcc66e9fdd27de877debd41894c5ead26c0b6dd9a617b30f1d90f9/fastcore-1.12.6-py3-none-any.whl", hash = "sha256:7a30e4fbac2787a1aa23a5d86b234208748688e70437c37d58ccb5ad748211ec", size = 95237, upload-time = "2026-01-27T03:26:45.998Z" }, + { url = "https://files.pythonhosted.org/packages/6f/ae/94bfb935ee72078f1f9772f946418bbc859bbedd4befb212d643d749d918/fastcore-1.12.15-py3-none-any.whl", hash = "sha256:4fc9462093ed3eaff990cf81b956d2bd760fa0e1ac02e5129900f48b484ab4d9", size = 96629, upload-time = "2026-02-20T04:59:35.77Z" }, ] [[package]] @@ -663,15 +653,15 @@ wheels = [ [[package]] name = "fastprogress" -version = "1.1.3" +version = "1.1.5" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "fastcore" }, { name = "python-fasthtml" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/c7/3d/6fe103e59855ad9bb5651c890d51fa2cdf4634cadc4ca72613e4321a4106/fastprogress-1.1.3.tar.gz", hash = "sha256:2f7071beb93ce261ddb51d66b243a8517b421563a0107498e5885ed2d9136fca", size = 16753, upload-time = "2025-12-29T22:07:54.425Z" } +sdist = { url = "https://files.pythonhosted.org/packages/7f/47/3787cb858bf110bd3a439972ea5f0191ea2b78f858b3a48ead764a7efd41/fastprogress-1.1.5.tar.gz", hash = "sha256:ae6fd1ff50ed37cbdf11e5796eead440e7a95eb061d2969e1092e10b10f2a144", size = 15804, upload-time = "2026-02-13T23:13:00.298Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/79/45/4aa502bbda9b63c792463c3466a2c5ef3c0830935f81906043f66b2b6c74/fastprogress-1.1.3-py3-none-any.whl", hash = "sha256:b7ad6a1a589407174ceaa3368c212bf13136548f9b4a85d3f6c6e489289ffdad", size = 14622, upload-time = "2025-12-29T22:07:53.411Z" }, + { url = "https://files.pythonhosted.org/packages/da/8e/4ffb242418e2924ef3216b712f1382d4369a5f494c30052c3ac8dfb757d9/fastprogress-1.1.5-py3-none-any.whl", hash = "sha256:7763ba4d87d60f51550ac07425f0308e58fd0e450e4404a9a8d7e1e1191f8e44", size = 14943, upload-time = "2026-02-13T23:12:58.752Z" }, ] [[package]] @@ -718,7 +708,7 @@ wheels = [ [[package]] name = "galsim" -version = "2.7.2" +version = "2.8.3" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "astropy", version = "6.1.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, @@ -729,20 +719,20 @@ dependencies = [ { name = "pybind11" }, { name = "setuptools" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/f0/a5/ac05174a5ff87821695676ba3cbf8eea63cc0bc336700633f3369ec66d6a/galsim-2.7.2.tar.gz", hash = "sha256:457307f7e9e57c0be0d10d9f8e585a3f2ba9ed917ca7b10a3a5b948dcd49913b", size = 8589625, upload-time = "2025-05-06T17:23:39.329Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a6/0b/3bd2bdeea28cc77022b9eb0580d8ff57c36192b84706752a2c82ac3f216c/galsim-2.8.3.tar.gz", hash = "sha256:a4f4279ea5798e810d8cb42d0950b68ac517f1a2cb117c0bd596b6c663fc34f2", size = 8590201, upload-time = "2026-02-01T05:39:09.949Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c9/c3/3fc37186b83e302d384f0c99bbedbd76f2487f2aef43738706a52701e6ed/GalSim-2.7.2-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:c08b9b47696cc6364b420603da39962058bfee717c9c3fe8537e892b0453072e", size = 6762961, upload-time = "2025-05-06T17:21:55.695Z" }, - { url = "https://files.pythonhosted.org/packages/b9/d0/c1020c9cbac2efdd6d490831576231ec47ece2c6750aafc716450bed75ba/GalSim-2.7.2-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:470ccfe47ee73147528a4608b1e362a487cc7154391748a14a600fd84910c1b3", size = 6092237, upload-time = "2025-05-06T17:21:58.33Z" }, - { url = "https://files.pythonhosted.org/packages/69/7e/a35154b20b0df966e912bd61dca1757448b61371448a2482653971d40531/GalSim-2.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb0f43583999daec81c5d50bd906de48f8c96bee0eedc85d343ec38fab64b1a5", size = 47500599, upload-time = "2025-05-06T17:22:02.694Z" }, - { url = "https://files.pythonhosted.org/packages/44/44/ec9bac04b6fdb1a9ac380647058f55e9dab9ded766fb77a96f0e19be6ad8/GalSim-2.7.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:af5a74dab257e3042dfbb11ce445c9b02ade9befc964a8b6f13a9c9073af9cd6", size = 48151787, upload-time = "2025-05-06T17:22:07.54Z" }, - { url = "https://files.pythonhosted.org/packages/74/9c/28c007375d4ea91aba8db4d392d1e57740445b92139855f04d22ddf2281e/GalSim-2.7.2-cp311-cp311-macosx_13_0_x86_64.whl", hash = "sha256:03181921228aa0753622f1e71bc1cb31cff4164db28af9c7fffb2629d050d556", size = 6763985, upload-time = "2025-05-06T17:22:12.258Z" }, - { url = "https://files.pythonhosted.org/packages/79/5c/446d3d89eb21999f22246cb472f6b278fc978950256a4f8e1ff00ee304a9/GalSim-2.7.2-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:cd36ef13ae69079cdddcaa2358866cf06b482f2e265ad4e05bf2d17a102188c2", size = 6093163, upload-time = "2025-05-06T17:22:15.838Z" }, - { url = "https://files.pythonhosted.org/packages/4c/d6/28fa91a65ed62474c35e1e79efc92db44ea71c9dfc82ac87bd4f971c2aa9/GalSim-2.7.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c6fd4a54ec99df243d7f30d60fe74e3eb14409c84a4bf4594a8cfec3be5c92c4", size = 47843369, upload-time = "2025-05-06T17:22:19.863Z" }, - { url = "https://files.pythonhosted.org/packages/95/e2/c87bba00e98ebba5561b7f75e8293722d6c8ddbfa8f1fe9b5ba20202717d/GalSim-2.7.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a79c348146e1c9f67c12828ecdc8c1e804af224f979c37d3c3340ca420a9186f", size = 48659936, upload-time = "2025-05-06T17:22:25.23Z" }, - { url = "https://files.pythonhosted.org/packages/87/f9/fd6710b5868f12a4a453c1ec110dd8ec5a3b72ad12fab58a2dac1595c529/GalSim-2.7.2-cp312-cp312-macosx_13_0_x86_64.whl", hash = "sha256:a09f919f5f75d550de48e73475e14666d603ab9a59f1987d09a953fdadca3010", size = 6776487, upload-time = "2025-05-06T17:22:30.436Z" }, - { url = "https://files.pythonhosted.org/packages/3a/0e/5264a9c8cc6fe080e51c8f84f9438f3dcc6d912c54e9557b2f635d2a67e4/GalSim-2.7.2-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:61ffcc78888b8fcc19929bd29591792fc37830a76078bc298dd20ad06732b852", size = 6093145, upload-time = "2025-05-06T17:22:32.418Z" }, - { url = "https://files.pythonhosted.org/packages/4a/e3/2b45613e010d7a45f54713a4bec463c27b753502fda9fdfbe90f5a7851aa/GalSim-2.7.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fea5f43fa3976e7afb43ec16c9b882ac767d6ef99dac34d19b2b44b955bd80d7", size = 47527883, upload-time = "2025-05-06T17:22:36.908Z" }, - { url = "https://files.pythonhosted.org/packages/77/41/318a6e8173e7ea28c82d540e905c4e5578a203318268a75b1131a5a8c760/GalSim-2.7.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ccc4f13fc56912f9e17d28c9dd338d3238e6650c54f1dad45b1fd33cc8adf2d6", size = 48424213, upload-time = "2025-05-06T17:22:42.396Z" }, + { url = "https://files.pythonhosted.org/packages/fd/49/5c945329c33e9cddf9084988694e61500f481f507b10fab245724dd6a2d7/galsim-2.8.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:9bec1fd4bfe332789cf09f300330244ab270f0c36e153113147c844c253dc307", size = 5843202, upload-time = "2026-02-01T05:38:17.235Z" }, + { url = "https://files.pythonhosted.org/packages/f3/5d/092fac36e0e311c561b91f02232d379d0909c7c8347d02f826eceff605f2/galsim-2.8.3-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:91db5b86f31af4f5839cddd3d2b741515b94f1ac4eb1ea223d23b77358069869", size = 6794446, upload-time = "2026-02-01T05:38:19.575Z" }, + { url = "https://files.pythonhosted.org/packages/c3/61/465f0fcfad00e7207832bda9cd2a7433f901a677a4df439e84f516753137/galsim-2.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da03fed4ed60cae51d1cc1007887279e44c6752fa0d02d5dfea408421357aa41", size = 50764550, upload-time = "2026-02-01T05:38:22.111Z" }, + { url = "https://files.pythonhosted.org/packages/25/2f/2bf37578e426097babb9f33a84537bce8b1e534e548de934ed02bdf4a9be/galsim-2.8.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:1c9c91bbad62517f0e57c528a1a89c897cef297719802fb70ca78a8920d865b3", size = 51491192, upload-time = "2026-02-01T05:38:25.703Z" }, + { url = "https://files.pythonhosted.org/packages/17/14/dafb343694fa66a8b1a9c9d05cf010e88f5cfc95681e78326d8e5742de4e/galsim-2.8.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:54857772db01fa5ab5046a7aab6ffad353e0b738f57f2f366edbd7354ebe0da6", size = 5844977, upload-time = "2026-02-01T05:38:28.983Z" }, + { url = "https://files.pythonhosted.org/packages/17/cd/adf2d4cb70d369e73ebbff3ab0998ca0ac253f2aafbbb30f601f23d0f8b9/galsim-2.8.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:b58fd7e1002670d31c016e91245cf94a5f7ab5f29706f49bc7f1f9b86d88e87a", size = 6796154, upload-time = "2026-02-01T05:38:30.404Z" }, + { url = "https://files.pythonhosted.org/packages/bf/8b/0fb46659aec39870fb020a63f13d9b239f709ec6eef42fc1fc058effaf38/galsim-2.8.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e468dc4b93e9e49a5ca1f00cfb10ce292c02bbb7c4d663a0e77997ab420cc6a", size = 51191707, upload-time = "2026-02-01T05:38:32.974Z" }, + { url = "https://files.pythonhosted.org/packages/f4/8f/bded1c3c4b456b3553c4f318ccc3d6d699ac51f279845b934725ee86ad2f/galsim-2.8.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:eeee99ef9645f9b383e99df7cc7a4388b8a81b6a07ae885ef3574208d66734a5", size = 52024227, upload-time = "2026-02-01T05:38:36.423Z" }, + { url = "https://files.pythonhosted.org/packages/28/dd/4c1e357bee7da7f3d6ca9da5c10b4d92cc32341416ce9a60c00161ad503f/galsim-2.8.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:63c9b93804c926e1c330d686cded8b85c088b33ea32ba86e853c9baf8a5acb6e", size = 5859242, upload-time = "2026-02-01T05:38:38.846Z" }, + { url = "https://files.pythonhosted.org/packages/a7/69/f2e29e45c565b00d96a439ec4a3d19e8a189b7b541a16d26a15a847573dd/galsim-2.8.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:e255620a487007acc33f9bc2be9839ef13f00a7e45fa090a997dc17bb95408a9", size = 6801213, upload-time = "2026-02-01T05:38:40.898Z" }, + { url = "https://files.pythonhosted.org/packages/88/a9/c7b6d5e06131aa705d8febd726a0cc63b5946fd8290cfef70740afee7983/galsim-2.8.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0978f94e2557d0bfb8017a14e2286df7576c6478f0eec5132c1ea1a81df56c16", size = 51131071, upload-time = "2026-02-01T05:38:43.677Z" }, + { url = "https://files.pythonhosted.org/packages/53/0e/23988ab7495c971bb86883ac16664e686f3d14a212cdbc15fb6c38704823/galsim-2.8.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:09eae7a5b19075e42008daa10217cd51095c9e3d0a3562d55fb2080a10a187da", size = 51964582, upload-time = "2026-02-01T05:38:47.418Z" }, ] [[package]] @@ -889,14 +879,14 @@ wheels = [ [[package]] name = "ipykernel" -version = "7.1.0" +version = "7.2.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "appnope", marker = "sys_platform == 'darwin'" }, { name = "comm" }, { name = "debugpy" }, { name = "ipython", version = "8.38.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "ipython", version = "9.9.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "jupyter-client" }, { name = "jupyter-core" }, { name = "matplotlib-inline" }, @@ -907,9 +897,9 @@ dependencies = [ { name = "tornado" }, { name = "traitlets" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/b9/a4/4948be6eb88628505b83a1f2f40d90254cab66abf2043b3c40fa07dfce0f/ipykernel-7.1.0.tar.gz", hash = "sha256:58a3fc88533d5930c3546dc7eac66c6d288acde4f801e2001e65edc5dc9cf0db", size = 174579, upload-time = "2025-10-27T09:46:39.471Z" } +sdist = { url = "https://files.pythonhosted.org/packages/ca/8d/b68b728e2d06b9e0051019640a40a9eb7a88fcd82c2e1b5ce70bef5ff044/ipykernel-7.2.0.tar.gz", hash = "sha256:18ed160b6dee2cbb16e5f3575858bc19d8f1fe6046a9a680c708494ce31d909e", size = 176046, upload-time = "2026-02-06T16:43:27.403Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/a3/17/20c2552266728ceba271967b87919664ecc0e33efca29c3efc6baf88c5f9/ipykernel-7.1.0-py3-none-any.whl", hash = "sha256:763b5ec6c5b7776f6a8d7ce09b267693b4e5ce75cb50ae696aaefb3c85e1ea4c", size = 117968, upload-time = "2025-10-27T09:46:37.805Z" }, + { url = "https://files.pythonhosted.org/packages/82/b9/e73d5d9f405cba7706c539aa8b311b49d4c2f3d698d9c12f815231169c71/ipykernel-7.2.0-py3-none-any.whl", hash = "sha256:3bbd4420d2b3cc105cbdf3756bfc04500b1e52f090a90716851f3916c62e1661", size = 118788, upload-time = "2026-02-06T16:43:25.149Z" }, ] [[package]] @@ -939,7 +929,7 @@ wheels = [ [[package]] name = "ipython" -version = "9.9.0" +version = "9.10.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ "python_full_version >= '3.12'", @@ -958,9 +948,9 @@ dependencies = [ { name = "traitlets", marker = "python_full_version >= '3.11'" }, { name = "typing-extensions", marker = "python_full_version == '3.11.*'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/46/dd/fb08d22ec0c27e73c8bc8f71810709870d51cadaf27b7ddd3f011236c100/ipython-9.9.0.tar.gz", hash = "sha256:48fbed1b2de5e2c7177eefa144aba7fcb82dac514f09b57e2ac9da34ddb54220", size = 4425043, upload-time = "2026-01-05T12:36:46.233Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a6/60/2111715ea11f39b1535bed6024b7dec7918b71e5e5d30855a5b503056b50/ipython-9.10.0.tar.gz", hash = "sha256:cd9e656be97618a0676d058134cd44e6dc7012c0e5cb36a9ce96a8c904adaf77", size = 4426526, upload-time = "2026-02-02T10:00:33.594Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/86/92/162cfaee4ccf370465c5af1ce36a9eacec1becb552f2033bb3584e6f640a/ipython-9.9.0-py3-none-any.whl", hash = "sha256:b457fe9165df2b84e8ec909a97abcf2ed88f565970efba16b1f7229c283d252b", size = 621431, upload-time = "2026-01-05T12:36:44.669Z" }, + { url = "https://files.pythonhosted.org/packages/3d/aa/898dec789a05731cd5a9f50605b7b44a72bd198fd0d4528e11fc610177cc/ipython-9.10.0-py3-none-any.whl", hash = "sha256:c6ab68cc23bba8c7e18e9b932797014cc61ea7fd6f19de180ab9ba73e65ee58d", size = 622774, upload-time = "2026-02-02T10:00:31.503Z" }, ] [[package]] @@ -1051,18 +1041,16 @@ with-cuda = [ [[package]] name = "jax-galsim" -version = "0.0.1rc1" -source = { git = "https://github.com/GalSim-developers/JAX-GalSim.git?branch=main#e395e73d621139e6fab2df5149f19592874df947" } +version = "2026.2.1.dev18+g934682181" +source = { git = "https://github.com/GalSim-developers/JAX-GalSim.git?branch=main#934682181dbde10a70be72ca8a6e7b53cb4f5586" } dependencies = [ { name = "astropy", version = "6.1.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, { name = "astropy", version = "7.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "galsim" }, { name = "jax" }, - { name = "jaxlib" }, { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "quadax" }, - { name = "tensorflow-probability" }, ] [[package]] @@ -1110,14 +1098,33 @@ wheels = [ [[package]] name = "jaxtyping" -version = "0.3.6" +version = "0.3.7" source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11'", +] dependencies = [ - { name = "wadler-lindig" }, + { name = "wadler-lindig", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/38/40/a2ea3ce0e3e5f540eb970de7792c90fa58fef1b27d34c83f9fa94fea4729/jaxtyping-0.3.7.tar.gz", hash = "sha256:3bd7d9beb7d3cb01a89f93f90581c6f4fff3e5c5dc3c9307e8f8687a040d10c4", size = 45721, upload-time = "2026-01-30T14:18:47.409Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/78/42/caf65e9a0576a3abadc537e2f831701ba9081f21317fb3be87d64451587a/jaxtyping-0.3.7-py3-none-any.whl", hash = "sha256:303ab8599edf412eeb40bf06c863e3168fa186cf0e7334703fa741ddd7046e66", size = 56101, upload-time = "2026-01-30T14:18:45.954Z" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/5d/25/0b2c2cd048fe03561d3ed8aa9d0242903606c31ee0ef329b2adae79ebc79/jaxtyping-0.3.6.tar.gz", hash = "sha256:88e5450c96a1bcaf37c74ae5ef60084b5d307727a198d31cc7eaeba9db3f42e7", size = 45681, upload-time = "2026-01-24T17:37:48.131Z" } + +[[package]] +name = "jaxtyping" +version = "0.3.9" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.12'", + "python_full_version == '3.11.*'", +] +dependencies = [ + { name = "wadler-lindig", marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c2/be/00294e369938937e31b094437d5ea040e4fd1a20b998ebe572c4a1dcfa68/jaxtyping-0.3.9.tar.gz", hash = "sha256:f8c02d1b623d5f1b6665d4f3ddaec675d70004f16a792102c2fc51264190951d", size = 45857, upload-time = "2026-02-16T10:35:13.263Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/3f/87/944bcf3cb5b82a1f7fb86e825e866eb3a72220d4bb0f2c163d7b122772f2/jaxtyping-0.3.6-py3-none-any.whl", hash = "sha256:179df02f6b5b704d2ebafd1946cc857e745b489328d668ff4f8555b02e8aa944", size = 56053, upload-time = "2026-01-24T17:37:46.472Z" }, + { url = "https://files.pythonhosted.org/packages/94/05/3e39d416fb92b2738a76e8265e6bfc5d10542f90a7c32ad1eb831eea3fa3/jaxtyping-0.3.9-py3-none-any.whl", hash = "sha256:a00557a9d616eff157491f06ed2e21ed94886fad3832399273eb912b345da378", size = 56274, upload-time = "2026-02-16T10:35:11.795Z" }, ] [[package]] @@ -1220,16 +1227,16 @@ wheels = [ [[package]] name = "lsstdesc-coord" -version = "1.3.0" +version = "1.3.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "future" }, { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/a9/4c/64f152ca8326c715436ece7734293f899dd6c7a5cf1a7361554ff8eefeb9/LSSTDESC.Coord-1.3.0.tar.gz", hash = "sha256:50da8ff1e19472dec63ec92e8d8b3fb8bec984894c0f1ac82aa16b2051df66be", size = 41083, upload-time = "2023-05-25T19:33:04.461Z" } +sdist = { url = "https://files.pythonhosted.org/packages/b8/e0/6806df4cfa54927a2d8e425407611b4fc031dd125bc952b4a31deb743305/lsstdesc_coord-1.3.1.tar.gz", hash = "sha256:60f878c29e1f30a9b50bf60dca3c466dc9cfb2cbc71f0a27c575ced969de57ab", size = 41647, upload-time = "2026-02-13T18:37:32.611Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/ba/91/ccd7ab056e64b093aca88f814e9ad39c97c0bb59884c8ab89c73a2616ede/LSSTDESC.Coord-1.3.0-py3-none-any.whl", hash = "sha256:c19933fc5599cd5e0d4384da145c8fa5eb07d4c74fda06937e403a28533e3b0b", size = 27009, upload-time = "2023-05-25T19:33:01.491Z" }, + { url = "https://files.pythonhosted.org/packages/a1/f8/63121ece13d3dc7521e8989b4224389868f092ce13d3aae4c410b0f5de12/lsstdesc_coord-1.3.1-py3-none-any.whl", hash = "sha256:06afe1621ef5da89f51e1225b1016f9ab640f6eb955bbab1231d60342e536336", size = 27105, upload-time = "2026-02-13T18:37:31.214Z" }, ] [[package]] @@ -1521,15 +1528,15 @@ wheels = [ [[package]] name = "nvidia-cudnn-cu12" -version = "9.18.1.3" +version = "9.19.0.56" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "nvidia-cublas-cu12" }, ] wheels = [ - { url = "https://files.pythonhosted.org/packages/34/d3/f957d4af442aae223544288d417ac44e6276cf81e11979ef8b90e0017cf8/nvidia_cudnn_cu12-9.18.1.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:6966836f89c41fb4ad67361b5c5f3bf81eccf2b45d46f3b9eb84e8b7557263a7", size = 647470574, upload-time = "2026-01-23T20:29:24.813Z" }, - { url = "https://files.pythonhosted.org/packages/ce/a0/c2fe112e2dd28e97ae7e58364795f0aba6e474c22bb29a1dada729f95f65/nvidia_cudnn_cu12-9.18.1.3-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:733df57fc960e18f8dd27168e0e5495ef80a9d01d34647fb6774acc0cbee86e5", size = 648588125, upload-time = "2026-01-23T20:31:04.197Z" }, - { url = "https://files.pythonhosted.org/packages/ec/fe/8396c69fb188c4c14e5e228ff93600ce95a7b497139fdcebf03755476aa2/nvidia_cudnn_cu12-9.18.1.3-py3-none-win_amd64.whl", hash = "sha256:0b2d0f64afc2eccc4f3e6442c78a0de92359a320d9f12bb95e441133b9260b12", size = 634788724, upload-time = "2026-01-23T20:36:06.022Z" }, + { url = "https://files.pythonhosted.org/packages/09/b8/277c51962ee46fa3e5b203ac5f76107c650f781d6891e681e28e6f3e9fe6/nvidia_cudnn_cu12-9.19.0.56-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:08caaf27fe556aca82a3ee3b5aa49a77e7de0cfcb7ff4e5c29da426387a8267e", size = 656910700, upload-time = "2026-02-03T20:40:25.508Z" }, + { url = "https://files.pythonhosted.org/packages/c5/41/65225d42fba06fb3dd3972485ea258e7dd07a40d6e01c95da6766ad87354/nvidia_cudnn_cu12-9.19.0.56-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:ac6ad90a075bb33a94f2b4cf4622eac13dd4dc65cf6dd9c7572a318516a36625", size = 657906812, upload-time = "2026-02-03T20:44:12.638Z" }, + { url = "https://files.pythonhosted.org/packages/a7/a5/48f07449fc9c6cc146dcafe6149fa5d69630137d2ec5b7d9e09f255fadd7/nvidia_cudnn_cu12-9.19.0.56-py3-none-win_amd64.whl", hash = "sha256:cec70596b9ce878fab83810c3f5a2e606d35f510e5fee579759e4cbc68a23750", size = 644003014, upload-time = "2026-02-03T20:46:25.768Z" }, ] [[package]] @@ -1575,11 +1582,11 @@ wheels = [ [[package]] name = "nvidia-nccl-cu12" -version = "2.29.2" +version = "2.29.3" source = { registry = "https://pypi.org/simple" } wheels = [ - { url = "https://files.pythonhosted.org/packages/38/b2/e4dc7b33020645746710040cb2a6ac0de8332687d3ce902156dd3d7c351a/nvidia_nccl_cu12-2.29.2-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:0712e55c067965c6093cc793a9bbcc5f37b5b47248e9ebf8ae3af06867757587", size = 289707761, upload-time = "2026-01-07T00:21:30.514Z" }, - { url = "https://files.pythonhosted.org/packages/23/2d/609d0392d992259c6dc39881688a7fc13b1397a668bc360fbd68d1396f85/nvidia_nccl_cu12-2.29.2-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:3a9a0bf4142126e0d0ed99ec202579bef8d007601f9fab75af60b10324666b12", size = 289762233, upload-time = "2026-01-07T00:21:56.124Z" }, + { url = "https://files.pythonhosted.org/packages/28/cf/bcf8bb0c0030b1b9a345331f6281c37d2a8669758521eb93c382f6f87c8f/nvidia_nccl_cu12-2.29.3-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:6351b79dc7d2cc3d654ea1523616b9eeded71fe9c8da66b71eef9a5d1b2adad4", size = 289708535, upload-time = "2026-02-03T21:10:58.804Z" }, + { url = "https://files.pythonhosted.org/packages/31/5a/cac7d231f322b66caa16fd4b136ebc8e4b18b2805811c2d58dc47210cdea/nvidia_nccl_cu12-2.29.3-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:35ad42e7d5d722a83c36a3a478e281c20a5646383deaf1b9ed1a9ab7d61bed53", size = 289760316, upload-time = "2026-02-03T21:11:37.899Z" }, ] [[package]] @@ -1624,19 +1631,18 @@ wheels = [ [[package]] name = "optax" -version = "0.2.6" +version = "0.2.7" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "absl-py" }, - { name = "chex" }, { name = "jax" }, { name = "jaxlib" }, { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/6d/3b/90c11f740a3538200b61cd2b7d9346959cb9e31e0bdea3d2f886b7262203/optax-0.2.6.tar.gz", hash = "sha256:ba8d1e12678eba2657484d6feeca4fb281b8066bdfd5efbfc0f41b87663109c0", size = 269660, upload-time = "2025-09-15T22:41:24.76Z" } +sdist = { url = "https://files.pythonhosted.org/packages/de/f7/a63fc3d262d7a58d7d53050dea1408a63738739569af34f8f754cf181ab1/optax-0.2.7.tar.gz", hash = "sha256:8b6b2e5bd62bcc6c11f6172a1aff0d86da0eaeecbd5465b2b366b5d3d64f6efc", size = 297524, upload-time = "2026-02-05T20:49:28.749Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/b8/ec/19c6cc6064c7fc8f0cd6d5b37c4747849e66040c6ca98f86565efc2c227c/optax-0.2.6-py3-none-any.whl", hash = "sha256:f875251a5ab20f179d4be57478354e8e21963373b10f9c3b762b94dcb8c36d91", size = 367782, upload-time = "2025-09-15T22:41:22.825Z" }, + { url = "https://files.pythonhosted.org/packages/b8/1e/94ad43e06887244b4d25f58b689122270ba3c129d3448052958eecf7518a/optax-0.2.7-py3-none-any.whl", hash = "sha256:241f2dfa104eab4fec2e16e7919f88df24a3da1481f95e264b3db396b30d4ff6", size = 399395, upload-time = "2026-02-05T20:49:26.883Z" }, ] [[package]] @@ -1686,11 +1692,11 @@ wheels = [ [[package]] name = "parso" -version = "0.8.5" +version = "0.8.6" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/d4/de/53e0bcf53d13e005bd8c92e7855142494f41171b34c2536b86187474184d/parso-0.8.5.tar.gz", hash = "sha256:034d7354a9a018bdce352f48b2a8a450f05e9d6ee85db84764e9b6bd96dafe5a", size = 401205, upload-time = "2025-08-23T15:15:28.028Z" } +sdist = { url = "https://files.pythonhosted.org/packages/81/76/a1e769043c0c0c9fe391b702539d594731a4362334cdf4dc25d0c09761e7/parso-0.8.6.tar.gz", hash = "sha256:2b9a0332696df97d454fa67b81618fd69c35a7b90327cbe6ba5c92d2c68a7bfd", size = 401621, upload-time = "2026-02-09T15:45:24.425Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/16/32/f8e3c85d1d5250232a5d3477a2a28cc291968ff175caeadaf3cc19ce0e4a/parso-0.8.5-py2.py3-none-any.whl", hash = "sha256:646204b5ee239c396d040b90f9e272e9a8017c630092bf59980beb62fd033887", size = 106668, upload-time = "2025-08-23T15:15:25.663Z" }, + { url = "https://files.pythonhosted.org/packages/b6/61/fae042894f4296ec49e3f193aff5d7c18440da9e48102c3315e1bc4519a7/parso-0.8.6-py2.py3-none-any.whl", hash = "sha256:2c549f800b70a5c4952197248825584cb00f033b29c692671d3bf08bf380baff", size = 106894, upload-time = "2026-02-09T15:45:21.391Z" }, ] [[package]] @@ -1720,59 +1726,59 @@ wheels = [ [[package]] name = "pillow" -version = "12.1.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/d0/02/d52c733a2452ef1ffcc123b68e6606d07276b0e358db70eabad7e40042b7/pillow-12.1.0.tar.gz", hash = "sha256:5c5ae0a06e9ea030ab786b0251b32c7e4ce10e58d983c0d5c56029455180b5b9", size = 46977283, upload-time = "2026-01-02T09:13:29.892Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/fe/41/f73d92b6b883a579e79600d391f2e21cb0df767b2714ecbd2952315dfeef/pillow-12.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:fb125d860738a09d363a88daa0f59c4533529a90e564785e20fe875b200b6dbd", size = 5304089, upload-time = "2026-01-02T09:10:24.953Z" }, - { url = "https://files.pythonhosted.org/packages/94/55/7aca2891560188656e4a91ed9adba305e914a4496800da6b5c0a15f09edf/pillow-12.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cad302dc10fac357d3467a74a9561c90609768a6f73a1923b0fd851b6486f8b0", size = 4657815, upload-time = "2026-01-02T09:10:27.063Z" }, - { url = "https://files.pythonhosted.org/packages/e9/d2/b28221abaa7b4c40b7dba948f0f6a708bd7342c4d47ce342f0ea39643974/pillow-12.1.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:a40905599d8079e09f25027423aed94f2823adaf2868940de991e53a449e14a8", size = 6222593, upload-time = "2026-01-02T09:10:29.115Z" }, - { url = "https://files.pythonhosted.org/packages/71/b8/7a61fb234df6a9b0b479f69e66901209d89ff72a435b49933f9122f94cac/pillow-12.1.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:92a7fe4225365c5e3a8e598982269c6d6698d3e783b3b1ae979e7819f9cd55c1", size = 8027579, upload-time = "2026-01-02T09:10:31.182Z" }, - { url = "https://files.pythonhosted.org/packages/ea/51/55c751a57cc524a15a0e3db20e5cde517582359508d62305a627e77fd295/pillow-12.1.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f10c98f49227ed8383d28174ee95155a675c4ed7f85e2e573b04414f7e371bda", size = 6335760, upload-time = "2026-01-02T09:10:33.02Z" }, - { url = "https://files.pythonhosted.org/packages/dc/7c/60e3e6f5e5891a1a06b4c910f742ac862377a6fe842f7184df4a274ce7bf/pillow-12.1.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8637e29d13f478bc4f153d8daa9ffb16455f0a6cb287da1b432fdad2bfbd66c7", size = 7027127, upload-time = "2026-01-02T09:10:35.009Z" }, - { url = "https://files.pythonhosted.org/packages/06/37/49d47266ba50b00c27ba63a7c898f1bb41a29627ced8c09e25f19ebec0ff/pillow-12.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:21e686a21078b0f9cb8c8a961d99e6a4ddb88e0fc5ea6e130172ddddc2e5221a", size = 6449896, upload-time = "2026-01-02T09:10:36.793Z" }, - { url = "https://files.pythonhosted.org/packages/f9/e5/67fd87d2913902462cd9b79c6211c25bfe95fcf5783d06e1367d6d9a741f/pillow-12.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2415373395a831f53933c23ce051021e79c8cd7979822d8cc478547a3f4da8ef", size = 7151345, upload-time = "2026-01-02T09:10:39.064Z" }, - { url = "https://files.pythonhosted.org/packages/bd/15/f8c7abf82af68b29f50d77c227e7a1f87ce02fdc66ded9bf603bc3b41180/pillow-12.1.0-cp310-cp310-win32.whl", hash = "sha256:e75d3dba8fc1ddfec0cd752108f93b83b4f8d6ab40e524a95d35f016b9683b09", size = 6325568, upload-time = "2026-01-02T09:10:41.035Z" }, - { url = "https://files.pythonhosted.org/packages/d4/24/7d1c0e160b6b5ac2605ef7d8be537e28753c0db5363d035948073f5513d7/pillow-12.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:64efdf00c09e31efd754448a383ea241f55a994fd079866b92d2bbff598aad91", size = 7032367, upload-time = "2026-01-02T09:10:43.09Z" }, - { url = "https://files.pythonhosted.org/packages/f4/03/41c038f0d7a06099254c60f618d0ec7be11e79620fc23b8e85e5b31d9a44/pillow-12.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:f188028b5af6b8fb2e9a76ac0f841a575bd1bd396e46ef0840d9b88a48fdbcea", size = 2452345, upload-time = "2026-01-02T09:10:44.795Z" }, - { url = "https://files.pythonhosted.org/packages/43/c4/bf8328039de6cc22182c3ef007a2abfbbdab153661c0a9aa78af8d706391/pillow-12.1.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:a83e0850cb8f5ac975291ebfc4170ba481f41a28065277f7f735c202cd8e0af3", size = 5304057, upload-time = "2026-01-02T09:10:46.627Z" }, - { url = "https://files.pythonhosted.org/packages/43/06/7264c0597e676104cc22ca73ee48f752767cd4b1fe084662620b17e10120/pillow-12.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b6e53e82ec2db0717eabb276aa56cf4e500c9a7cec2c2e189b55c24f65a3e8c0", size = 4657811, upload-time = "2026-01-02T09:10:49.548Z" }, - { url = "https://files.pythonhosted.org/packages/72/64/f9189e44474610daf83da31145fa56710b627b5c4c0b9c235e34058f6b31/pillow-12.1.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:40a8e3b9e8773876d6e30daed22f016509e3987bab61b3b7fe309d7019a87451", size = 6232243, upload-time = "2026-01-02T09:10:51.62Z" }, - { url = "https://files.pythonhosted.org/packages/ef/30/0df458009be6a4caca4ca2c52975e6275c387d4e5c95544e34138b41dc86/pillow-12.1.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:800429ac32c9b72909c671aaf17ecd13110f823ddb7db4dfef412a5587c2c24e", size = 8037872, upload-time = "2026-01-02T09:10:53.446Z" }, - { url = "https://files.pythonhosted.org/packages/e4/86/95845d4eda4f4f9557e25381d70876aa213560243ac1a6d619c46caaedd9/pillow-12.1.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0b022eaaf709541b391ee069f0022ee5b36c709df71986e3f7be312e46f42c84", size = 6345398, upload-time = "2026-01-02T09:10:55.426Z" }, - { url = "https://files.pythonhosted.org/packages/5c/1f/8e66ab9be3aaf1435bc03edd1ebdf58ffcd17f7349c1d970cafe87af27d9/pillow-12.1.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1f345e7bc9d7f368887c712aa5054558bad44d2a301ddf9248599f4161abc7c0", size = 7034667, upload-time = "2026-01-02T09:10:57.11Z" }, - { url = "https://files.pythonhosted.org/packages/f9/f6/683b83cb9b1db1fb52b87951b1c0b99bdcfceaa75febf11406c19f82cb5e/pillow-12.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d70347c8a5b7ccd803ec0c85c8709f036e6348f1e6a5bf048ecd9c64d3550b8b", size = 6458743, upload-time = "2026-01-02T09:10:59.331Z" }, - { url = "https://files.pythonhosted.org/packages/9a/7d/de833d63622538c1d58ce5395e7c6cb7e7dce80decdd8bde4a484e095d9f/pillow-12.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1fcc52d86ce7a34fd17cb04e87cfdb164648a3662a6f20565910a99653d66c18", size = 7159342, upload-time = "2026-01-02T09:11:01.82Z" }, - { url = "https://files.pythonhosted.org/packages/8c/40/50d86571c9e5868c42b81fe7da0c76ca26373f3b95a8dd675425f4a92ec1/pillow-12.1.0-cp311-cp311-win32.whl", hash = "sha256:3ffaa2f0659e2f740473bcf03c702c39a8d4b2b7ffc629052028764324842c64", size = 6328655, upload-time = "2026-01-02T09:11:04.556Z" }, - { url = "https://files.pythonhosted.org/packages/6c/af/b1d7e301c4cd26cd45d4af884d9ee9b6fab893b0ad2450d4746d74a6968c/pillow-12.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:806f3987ffe10e867bab0ddad45df1148a2b98221798457fa097ad85d6e8bc75", size = 7031469, upload-time = "2026-01-02T09:11:06.538Z" }, - { url = "https://files.pythonhosted.org/packages/48/36/d5716586d887fb2a810a4a61518a327a1e21c8b7134c89283af272efe84b/pillow-12.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:9f5fefaca968e700ad1a4a9de98bf0869a94e397fe3524c4c9450c1445252304", size = 2452515, upload-time = "2026-01-02T09:11:08.226Z" }, - { url = "https://files.pythonhosted.org/packages/20/31/dc53fe21a2f2996e1b7d92bf671cdb157079385183ef7c1ae08b485db510/pillow-12.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:a332ac4ccb84b6dde65dbace8431f3af08874bf9770719d32a635c4ef411b18b", size = 5262642, upload-time = "2026-01-02T09:11:10.138Z" }, - { url = "https://files.pythonhosted.org/packages/ab/c1/10e45ac9cc79419cedf5121b42dcca5a50ad2b601fa080f58c22fb27626e/pillow-12.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:907bfa8a9cb790748a9aa4513e37c88c59660da3bcfffbd24a7d9e6abf224551", size = 4657464, upload-time = "2026-01-02T09:11:12.319Z" }, - { url = "https://files.pythonhosted.org/packages/ad/26/7b82c0ab7ef40ebede7a97c72d473bda5950f609f8e0c77b04af574a0ddb/pillow-12.1.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:efdc140e7b63b8f739d09a99033aa430accce485ff78e6d311973a67b6bf3208", size = 6234878, upload-time = "2026-01-02T09:11:14.096Z" }, - { url = "https://files.pythonhosted.org/packages/76/25/27abc9792615b5e886ca9411ba6637b675f1b77af3104710ac7353fe5605/pillow-12.1.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bef9768cab184e7ae6e559c032e95ba8d07b3023c289f79a2bd36e8bf85605a5", size = 8044868, upload-time = "2026-01-02T09:11:15.903Z" }, - { url = "https://files.pythonhosted.org/packages/0a/ea/f200a4c36d836100e7bc738fc48cd963d3ba6372ebc8298a889e0cfc3359/pillow-12.1.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:742aea052cf5ab5034a53c3846165bc3ce88d7c38e954120db0ab867ca242661", size = 6349468, upload-time = "2026-01-02T09:11:17.631Z" }, - { url = "https://files.pythonhosted.org/packages/11/8f/48d0b77ab2200374c66d344459b8958c86693be99526450e7aee714e03e4/pillow-12.1.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a6dfc2af5b082b635af6e08e0d1f9f1c4e04d17d4e2ca0ef96131e85eda6eb17", size = 7041518, upload-time = "2026-01-02T09:11:19.389Z" }, - { url = "https://files.pythonhosted.org/packages/1d/23/c281182eb986b5d31f0a76d2a2c8cd41722d6fb8ed07521e802f9bba52de/pillow-12.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:609e89d9f90b581c8d16358c9087df76024cf058fa693dd3e1e1620823f39670", size = 6462829, upload-time = "2026-01-02T09:11:21.28Z" }, - { url = "https://files.pythonhosted.org/packages/25/ef/7018273e0faac099d7b00982abdcc39142ae6f3bd9ceb06de09779c4a9d6/pillow-12.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:43b4899cfd091a9693a1278c4982f3e50f7fb7cff5153b05174b4afc9593b616", size = 7166756, upload-time = "2026-01-02T09:11:23.559Z" }, - { url = "https://files.pythonhosted.org/packages/8f/c8/993d4b7ab2e341fe02ceef9576afcf5830cdec640be2ac5bee1820d693d4/pillow-12.1.0-cp312-cp312-win32.whl", hash = "sha256:aa0c9cc0b82b14766a99fbe6084409972266e82f459821cd26997a488a7261a7", size = 6328770, upload-time = "2026-01-02T09:11:25.661Z" }, - { url = "https://files.pythonhosted.org/packages/a7/87/90b358775a3f02765d87655237229ba64a997b87efa8ccaca7dd3e36e7a7/pillow-12.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:d70534cea9e7966169ad29a903b99fc507e932069a881d0965a1a84bb57f6c6d", size = 7033406, upload-time = "2026-01-02T09:11:27.474Z" }, - { url = "https://files.pythonhosted.org/packages/5d/cf/881b457eccacac9e5b2ddd97d5071fb6d668307c57cbf4e3b5278e06e536/pillow-12.1.0-cp312-cp312-win_arm64.whl", hash = "sha256:65b80c1ee7e14a87d6a068dd3b0aea268ffcabfe0498d38661b00c5b4b22e74c", size = 2452612, upload-time = "2026-01-02T09:11:29.309Z" }, - { url = "https://files.pythonhosted.org/packages/8b/bc/224b1d98cffd7164b14707c91aac83c07b047fbd8f58eba4066a3e53746a/pillow-12.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:ca94b6aac0d7af2a10ba08c0f888b3d5114439b6b3ef39968378723622fed377", size = 5228605, upload-time = "2026-01-02T09:13:14.084Z" }, - { url = "https://files.pythonhosted.org/packages/0c/ca/49ca7769c4550107de049ed85208240ba0f330b3f2e316f24534795702ce/pillow-12.1.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:351889afef0f485b84078ea40fe33727a0492b9af3904661b0abbafee0355b72", size = 4622245, upload-time = "2026-01-02T09:13:15.964Z" }, - { url = "https://files.pythonhosted.org/packages/73/48/fac807ce82e5955bcc2718642b94b1bd22a82a6d452aea31cbb678cddf12/pillow-12.1.0-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:bb0984b30e973f7e2884362b7d23d0a348c7143ee559f38ef3eaab640144204c", size = 5247593, upload-time = "2026-01-02T09:13:17.913Z" }, - { url = "https://files.pythonhosted.org/packages/d2/95/3e0742fe358c4664aed4fd05d5f5373dcdad0b27af52aa0972568541e3f4/pillow-12.1.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:84cabc7095dd535ca934d57e9ce2a72ffd216e435a84acb06b2277b1de2689bd", size = 6989008, upload-time = "2026-01-02T09:13:20.083Z" }, - { url = "https://files.pythonhosted.org/packages/5a/74/fe2ac378e4e202e56d50540d92e1ef4ff34ed687f3c60f6a121bcf99437e/pillow-12.1.0-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53d8b764726d3af1a138dd353116f774e3862ec7e3794e0c8781e30db0f35dfc", size = 5313824, upload-time = "2026-01-02T09:13:22.405Z" }, - { url = "https://files.pythonhosted.org/packages/f3/77/2a60dee1adee4e2655ac328dd05c02a955c1cd683b9f1b82ec3feb44727c/pillow-12.1.0-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5da841d81b1a05ef940a8567da92decaa15bc4d7dedb540a8c219ad83d91808a", size = 5963278, upload-time = "2026-01-02T09:13:24.706Z" }, - { url = "https://files.pythonhosted.org/packages/2d/71/64e9b1c7f04ae0027f788a248e6297d7fcc29571371fe7d45495a78172c0/pillow-12.1.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:75af0b4c229ac519b155028fa1be632d812a519abba9b46b20e50c6caa184f19", size = 7029809, upload-time = "2026-01-02T09:13:26.541Z" }, +version = "12.1.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/1f/42/5c74462b4fd957fcd7b13b04fb3205ff8349236ea74c7c375766d6c82288/pillow-12.1.1.tar.gz", hash = "sha256:9ad8fa5937ab05218e2b6a4cff30295ad35afd2f83ac592e68c0d871bb0fdbc4", size = 46980264, upload-time = "2026-02-11T04:23:07.146Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1d/30/5bd3d794762481f8c8ae9c80e7b76ecea73b916959eb587521358ef0b2f9/pillow-12.1.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:1f1625b72740fdda5d77b4def688eb8fd6490975d06b909fd19f13f391e077e0", size = 5304099, upload-time = "2026-02-11T04:20:06.13Z" }, + { url = "https://files.pythonhosted.org/packages/bd/c1/aab9e8f3eeb4490180e357955e15c2ef74b31f64790ff356c06fb6cf6d84/pillow-12.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:178aa072084bd88ec759052feca8e56cbb14a60b39322b99a049e58090479713", size = 4657880, upload-time = "2026-02-11T04:20:09.291Z" }, + { url = "https://files.pythonhosted.org/packages/f1/0a/9879e30d56815ad529d3985aeff5af4964202425c27261a6ada10f7cbf53/pillow-12.1.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b66e95d05ba806247aaa1561f080abc7975daf715c30780ff92a20e4ec546e1b", size = 6222587, upload-time = "2026-02-11T04:20:10.82Z" }, + { url = "https://files.pythonhosted.org/packages/5a/5f/a1b72ff7139e4f89014e8d451442c74a774d5c43cd938fb0a9f878576b37/pillow-12.1.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:89c7e895002bbe49cdc5426150377cbbc04767d7547ed145473f496dfa40408b", size = 8027678, upload-time = "2026-02-11T04:20:12.455Z" }, + { url = "https://files.pythonhosted.org/packages/e2/c2/c7cb187dac79a3d22c3ebeae727abee01e077c8c7d930791dc592f335153/pillow-12.1.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a5cbdcddad0af3da87cb16b60d23648bc3b51967eb07223e9fed77a82b457c4", size = 6335777, upload-time = "2026-02-11T04:20:14.441Z" }, + { url = "https://files.pythonhosted.org/packages/0c/7b/f9b09a7804ec7336effb96c26d37c29d27225783dc1501b7d62dcef6ae25/pillow-12.1.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9f51079765661884a486727f0729d29054242f74b46186026582b4e4769918e4", size = 7027140, upload-time = "2026-02-11T04:20:16.387Z" }, + { url = "https://files.pythonhosted.org/packages/98/b2/2fa3c391550bd421b10849d1a2144c44abcd966daadd2f7c12e19ea988c4/pillow-12.1.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:99c1506ea77c11531d75e3a412832a13a71c7ebc8192ab9e4b2e355555920e3e", size = 6449855, upload-time = "2026-02-11T04:20:18.554Z" }, + { url = "https://files.pythonhosted.org/packages/96/ff/9caf4b5b950c669263c39e96c78c0d74a342c71c4f43fd031bb5cb7ceac9/pillow-12.1.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:36341d06738a9f66c8287cf8b876d24b18db9bd8740fa0672c74e259ad408cff", size = 7151329, upload-time = "2026-02-11T04:20:20.646Z" }, + { url = "https://files.pythonhosted.org/packages/7b/f8/4b24841f582704da675ca535935bccb32b00a6da1226820845fac4a71136/pillow-12.1.1-cp310-cp310-win32.whl", hash = "sha256:6c52f062424c523d6c4db85518774cc3d50f5539dd6eed32b8f6229b26f24d40", size = 6325574, upload-time = "2026-02-11T04:20:22.43Z" }, + { url = "https://files.pythonhosted.org/packages/f8/f9/9f6b01c0881d7036063aa6612ef04c0e2cad96be21325a1e92d0203f8e91/pillow-12.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:c6008de247150668a705a6338156efb92334113421ceecf7438a12c9a12dab23", size = 7032347, upload-time = "2026-02-11T04:20:23.932Z" }, + { url = "https://files.pythonhosted.org/packages/79/13/c7922edded3dcdaf10c59297540b72785620abc0538872c819915746757d/pillow-12.1.1-cp310-cp310-win_arm64.whl", hash = "sha256:1a9b0ee305220b392e1124a764ee4265bd063e54a751a6b62eff69992f457fa9", size = 2453457, upload-time = "2026-02-11T04:20:25.392Z" }, + { url = "https://files.pythonhosted.org/packages/2b/46/5da1ec4a5171ee7bf1a0efa064aba70ba3d6e0788ce3f5acd1375d23c8c0/pillow-12.1.1-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:e879bb6cd5c73848ef3b2b48b8af9ff08c5b71ecda8048b7dd22d8a33f60be32", size = 5304084, upload-time = "2026-02-11T04:20:27.501Z" }, + { url = "https://files.pythonhosted.org/packages/78/93/a29e9bc02d1cf557a834da780ceccd54e02421627200696fcf805ebdc3fb/pillow-12.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:365b10bb9417dd4498c0e3b128018c4a624dc11c7b97d8cc54effe3b096f4c38", size = 4657866, upload-time = "2026-02-11T04:20:29.827Z" }, + { url = "https://files.pythonhosted.org/packages/13/84/583a4558d492a179d31e4aae32eadce94b9acf49c0337c4ce0b70e0a01f2/pillow-12.1.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d4ce8e329c93845720cd2014659ca67eac35f6433fd3050393d85f3ecef0dad5", size = 6232148, upload-time = "2026-02-11T04:20:31.329Z" }, + { url = "https://files.pythonhosted.org/packages/d5/e2/53c43334bbbb2d3b938978532fbda8e62bb6e0b23a26ce8592f36bcc4987/pillow-12.1.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc354a04072b765eccf2204f588a7a532c9511e8b9c7f900e1b64e3e33487090", size = 8038007, upload-time = "2026-02-11T04:20:34.225Z" }, + { url = "https://files.pythonhosted.org/packages/b8/a6/3d0e79c8a9d58150dd98e199d7c1c56861027f3829a3a60b3c2784190180/pillow-12.1.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7e7976bf1910a8116b523b9f9f58bf410f3e8aa330cd9a2bb2953f9266ab49af", size = 6345418, upload-time = "2026-02-11T04:20:35.858Z" }, + { url = "https://files.pythonhosted.org/packages/a2/c8/46dfeac5825e600579157eea177be43e2f7ff4a99da9d0d0a49533509ac5/pillow-12.1.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:597bd9c8419bc7c6af5604e55847789b69123bbe25d65cc6ad3012b4f3c98d8b", size = 7034590, upload-time = "2026-02-11T04:20:37.91Z" }, + { url = "https://files.pythonhosted.org/packages/af/bf/e6f65d3db8a8bbfeaf9e13cc0417813f6319863a73de934f14b2229ada18/pillow-12.1.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:2c1fc0f2ca5f96a3c8407e41cca26a16e46b21060fe6d5b099d2cb01412222f5", size = 6458655, upload-time = "2026-02-11T04:20:39.496Z" }, + { url = "https://files.pythonhosted.org/packages/f9/c2/66091f3f34a25894ca129362e510b956ef26f8fb67a0e6417bc5744e56f1/pillow-12.1.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:578510d88c6229d735855e1f278aa305270438d36a05031dfaae5067cc8eb04d", size = 7159286, upload-time = "2026-02-11T04:20:41.139Z" }, + { url = "https://files.pythonhosted.org/packages/7b/5a/24bc8eb526a22f957d0cec6243146744966d40857e3d8deb68f7902ca6c1/pillow-12.1.1-cp311-cp311-win32.whl", hash = "sha256:7311c0a0dcadb89b36b7025dfd8326ecfa36964e29913074d47382706e516a7c", size = 6328663, upload-time = "2026-02-11T04:20:43.184Z" }, + { url = "https://files.pythonhosted.org/packages/31/03/bef822e4f2d8f9d7448c133d0a18185d3cce3e70472774fffefe8b0ed562/pillow-12.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:fbfa2a7c10cc2623f412753cddf391c7f971c52ca40a3f65dc5039b2939e8563", size = 7031448, upload-time = "2026-02-11T04:20:44.696Z" }, + { url = "https://files.pythonhosted.org/packages/49/70/f76296f53610bd17b2e7d31728b8b7825e3ac3b5b3688b51f52eab7c0818/pillow-12.1.1-cp311-cp311-win_arm64.whl", hash = "sha256:b81b5e3511211631b3f672a595e3221252c90af017e399056d0faabb9538aa80", size = 2453651, upload-time = "2026-02-11T04:20:46.243Z" }, + { url = "https://files.pythonhosted.org/packages/07/d3/8df65da0d4df36b094351dce696f2989bec731d4f10e743b1c5f4da4d3bf/pillow-12.1.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ab323b787d6e18b3d91a72fc99b1a2c28651e4358749842b8f8dfacd28ef2052", size = 5262803, upload-time = "2026-02-11T04:20:47.653Z" }, + { url = "https://files.pythonhosted.org/packages/d6/71/5026395b290ff404b836e636f51d7297e6c83beceaa87c592718747e670f/pillow-12.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:adebb5bee0f0af4909c30db0d890c773d1a92ffe83da908e2e9e720f8edf3984", size = 4657601, upload-time = "2026-02-11T04:20:49.328Z" }, + { url = "https://files.pythonhosted.org/packages/b1/2e/1001613d941c67442f745aff0f7cc66dd8df9a9c084eb497e6a543ee6f7e/pillow-12.1.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:bb66b7cc26f50977108790e2456b7921e773f23db5630261102233eb355a3b79", size = 6234995, upload-time = "2026-02-11T04:20:51.032Z" }, + { url = "https://files.pythonhosted.org/packages/07/26/246ab11455b2549b9233dbd44d358d033a2f780fa9007b61a913c5b2d24e/pillow-12.1.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:aee2810642b2898bb187ced9b349e95d2a7272930796e022efaf12e99dccd293", size = 8045012, upload-time = "2026-02-11T04:20:52.882Z" }, + { url = "https://files.pythonhosted.org/packages/b2/8b/07587069c27be7535ac1fe33874e32de118fbd34e2a73b7f83436a88368c/pillow-12.1.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a0b1cd6232e2b618adcc54d9882e4e662a089d5768cd188f7c245b4c8c44a397", size = 6349638, upload-time = "2026-02-11T04:20:54.444Z" }, + { url = "https://files.pythonhosted.org/packages/ff/79/6df7b2ee763d619cda2fb4fea498e5f79d984dae304d45a8999b80d6cf5c/pillow-12.1.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7aac39bcf8d4770d089588a2e1dd111cbaa42df5a94be3114222057d68336bd0", size = 7041540, upload-time = "2026-02-11T04:20:55.97Z" }, + { url = "https://files.pythonhosted.org/packages/2c/5e/2ba19e7e7236d7529f4d873bdaf317a318896bac289abebd4bb00ef247f0/pillow-12.1.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ab174cd7d29a62dd139c44bf74b698039328f45cb03b4596c43473a46656b2f3", size = 6462613, upload-time = "2026-02-11T04:20:57.542Z" }, + { url = "https://files.pythonhosted.org/packages/03/03/31216ec124bb5c3dacd74ce8efff4cc7f52643653bad4825f8f08c697743/pillow-12.1.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:339ffdcb7cbeaa08221cd401d517d4b1fe7a9ed5d400e4a8039719238620ca35", size = 7166745, upload-time = "2026-02-11T04:20:59.196Z" }, + { url = "https://files.pythonhosted.org/packages/1f/e7/7c4552d80052337eb28653b617eafdef39adfb137c49dd7e831b8dc13bc5/pillow-12.1.1-cp312-cp312-win32.whl", hash = "sha256:5d1f9575a12bed9e9eedd9a4972834b08c97a352bd17955ccdebfeca5913fa0a", size = 6328823, upload-time = "2026-02-11T04:21:01.385Z" }, + { url = "https://files.pythonhosted.org/packages/3d/17/688626d192d7261bbbf98846fc98995726bddc2c945344b65bec3a29d731/pillow-12.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:21329ec8c96c6e979cd0dfd29406c40c1d52521a90544463057d2aaa937d66a6", size = 7033367, upload-time = "2026-02-11T04:21:03.536Z" }, + { url = "https://files.pythonhosted.org/packages/ed/fe/a0ef1f73f939b0eca03ee2c108d0043a87468664770612602c63266a43c4/pillow-12.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:af9a332e572978f0218686636610555ae3defd1633597be015ed50289a03c523", size = 2453811, upload-time = "2026-02-11T04:21:05.116Z" }, + { url = "https://files.pythonhosted.org/packages/56/11/5d43209aa4cb58e0cc80127956ff1796a68b928e6324bbf06ef4db34367b/pillow-12.1.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:600fd103672b925fe62ed08e0d874ea34d692474df6f4bf7ebe148b30f89f39f", size = 5228606, upload-time = "2026-02-11T04:22:52.106Z" }, + { url = "https://files.pythonhosted.org/packages/5f/d5/3b005b4e4fda6698b371fa6c21b097d4707585d7db99e98d9b0b87ac612a/pillow-12.1.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:665e1b916b043cef294bc54d47bf02d87e13f769bc4bc5fa225a24b3a6c5aca9", size = 4622321, upload-time = "2026-02-11T04:22:53.827Z" }, + { url = "https://files.pythonhosted.org/packages/df/36/ed3ea2d594356fd8037e5a01f6156c74bc8d92dbb0fa60746cc96cabb6e8/pillow-12.1.1-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:495c302af3aad1ca67420ddd5c7bd480c8867ad173528767d906428057a11f0e", size = 5247579, upload-time = "2026-02-11T04:22:56.094Z" }, + { url = "https://files.pythonhosted.org/packages/54/9a/9cc3e029683cf6d20ae5085da0dafc63148e3252c2f13328e553aaa13cfb/pillow-12.1.1-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8fd420ef0c52c88b5a035a0886f367748c72147b2b8f384c9d12656678dfdfa9", size = 6989094, upload-time = "2026-02-11T04:22:58.288Z" }, + { url = "https://files.pythonhosted.org/packages/00/98/fc53ab36da80b88df0967896b6c4b4cd948a0dc5aa40a754266aa3ae48b3/pillow-12.1.1-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f975aa7ef9684ce7e2c18a3aa8f8e2106ce1e46b94ab713d156b2898811651d3", size = 5313850, upload-time = "2026-02-11T04:23:00.554Z" }, + { url = "https://files.pythonhosted.org/packages/30/02/00fa585abfd9fe9d73e5f6e554dc36cc2b842898cbfc46d70353dae227f8/pillow-12.1.1-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8089c852a56c2966cf18835db62d9b34fef7ba74c726ad943928d494fa7f4735", size = 5963343, upload-time = "2026-02-11T04:23:02.934Z" }, + { url = "https://files.pythonhosted.org/packages/f2/26/c56ce33ca856e358d27fda9676c055395abddb82c35ac0f593877ed4562e/pillow-12.1.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:cb9bb857b2d057c6dfc72ac5f3b44836924ba15721882ef103cecb40d002d80e", size = 7029880, upload-time = "2026-02-11T04:23:04.783Z" }, ] [[package]] name = "platformdirs" -version = "4.5.1" +version = "4.9.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/cf/86/0248f086a84f01b37aaec0fa567b397df1a119f73c16f6c7a9aac73ea309/platformdirs-4.5.1.tar.gz", hash = "sha256:61d5cdcc6065745cdd94f0f878977f8de9437be93de97c1c12f853c9c0cdcbda", size = 21715, upload-time = "2025-12-05T13:52:58.638Z" } +sdist = { url = "https://files.pythonhosted.org/packages/1b/04/fea538adf7dbbd6d186f551d595961e564a3b6715bdf276b477460858672/platformdirs-4.9.2.tar.gz", hash = "sha256:9a33809944b9db043ad67ca0db94b14bf452cc6aeaac46a88ea55b26e2e9d291", size = 28394, upload-time = "2026-02-16T03:56:10.574Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/cb/28/3bfe2fa5a7b9c46fe7e13c97bda14c895fb10fa2ebf1d0abb90e0cea7ee1/platformdirs-4.5.1-py3-none-any.whl", hash = "sha256:d03afa3963c806a9bed9d5125c8f4cb2fdaf74a55ab60e5d59b3fde758104d31", size = 18731, upload-time = "2025-12-05T13:52:56.823Z" }, + { url = "https://files.pythonhosted.org/packages/48/31/05e764397056194206169869b50cf2fee4dbbbc71b344705b9c0d878d4d8/platformdirs-4.9.2-py3-none-any.whl", hash = "sha256:9170634f126f8efdae22fb58ae8a0eaa86f38365bc57897a6c4f781d1f5875bd", size = 21168, upload-time = "2026-02-16T03:56:08.891Z" }, ] [[package]] @@ -1798,18 +1804,18 @@ wheels = [ [[package]] name = "psutil" -version = "7.2.1" +version = "7.2.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/73/cb/09e5184fb5fc0358d110fc3ca7f6b1d033800734d34cac10f4136cfac10e/psutil-7.2.1.tar.gz", hash = "sha256:f7583aec590485b43ca601dd9cea0dcd65bd7bb21d30ef4ddbf4ea6b5ed1bdd3", size = 490253, upload-time = "2025-12-29T08:26:00.169Z" } +sdist = { url = "https://files.pythonhosted.org/packages/aa/c6/d1ddf4abb55e93cebc4f2ed8b5d6dbad109ecb8d63748dd2b20ab5e57ebe/psutil-7.2.2.tar.gz", hash = "sha256:0746f5f8d406af344fd547f1c8daa5f5c33dbc293bb8d6a16d80b4bb88f59372", size = 493740, upload-time = "2026-01-28T18:14:54.428Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c5/cf/5180eb8c8bdf6a503c6919f1da28328bd1e6b3b1b5b9d5b01ae64f019616/psutil-7.2.1-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:b2e953fcfaedcfbc952b44744f22d16575d3aa78eb4f51ae74165b4e96e55f42", size = 128137, upload-time = "2025-12-29T08:26:27.759Z" }, - { url = "https://files.pythonhosted.org/packages/c5/2c/78e4a789306a92ade5000da4f5de3255202c534acdadc3aac7b5458fadef/psutil-7.2.1-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:05cc68dbb8c174828624062e73078e7e35406f4ca2d0866c272c2410d8ef06d1", size = 128947, upload-time = "2025-12-29T08:26:29.548Z" }, - { url = "https://files.pythonhosted.org/packages/29/f8/40e01c350ad9a2b3cb4e6adbcc8a83b17ee50dd5792102b6142385937db5/psutil-7.2.1-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5e38404ca2bb30ed7267a46c02f06ff842e92da3bb8c5bfdadbd35a5722314d8", size = 154694, upload-time = "2025-12-29T08:26:32.147Z" }, - { url = "https://files.pythonhosted.org/packages/06/e4/b751cdf839c011a9714a783f120e6a86b7494eb70044d7d81a25a5cd295f/psutil-7.2.1-cp36-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ab2b98c9fc19f13f59628d94df5cc4cc4844bc572467d113a8b517d634e362c6", size = 156136, upload-time = "2025-12-29T08:26:34.079Z" }, - { url = "https://files.pythonhosted.org/packages/44/ad/bbf6595a8134ee1e94a4487af3f132cef7fce43aef4a93b49912a48c3af7/psutil-7.2.1-cp36-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:f78baafb38436d5a128f837fab2d92c276dfb48af01a240b861ae02b2413ada8", size = 148108, upload-time = "2025-12-29T08:26:36.225Z" }, - { url = "https://files.pythonhosted.org/packages/1c/15/dd6fd869753ce82ff64dcbc18356093471a5a5adf4f77ed1f805d473d859/psutil-7.2.1-cp36-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:99a4cd17a5fdd1f3d014396502daa70b5ec21bf4ffe38393e152f8e449757d67", size = 147402, upload-time = "2025-12-29T08:26:39.21Z" }, - { url = "https://files.pythonhosted.org/packages/34/68/d9317542e3f2b180c4306e3f45d3c922d7e86d8ce39f941bb9e2e9d8599e/psutil-7.2.1-cp37-abi3-win_amd64.whl", hash = "sha256:b1b0671619343aa71c20ff9767eced0483e4fc9e1f489d50923738caf6a03c17", size = 136938, upload-time = "2025-12-29T08:26:41.036Z" }, - { url = "https://files.pythonhosted.org/packages/3e/73/2ce007f4198c80fcf2cb24c169884f833fe93fbc03d55d302627b094ee91/psutil-7.2.1-cp37-abi3-win_arm64.whl", hash = "sha256:0d67c1822c355aa6f7314d92018fb4268a76668a536f133599b91edd48759442", size = 133836, upload-time = "2025-12-29T08:26:43.086Z" }, + { url = "https://files.pythonhosted.org/packages/e7/36/5ee6e05c9bd427237b11b3937ad82bb8ad2752d72c6969314590dd0c2f6e/psutil-7.2.2-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ed0cace939114f62738d808fdcecd4c869222507e266e574799e9c0faa17d486", size = 129090, upload-time = "2026-01-28T18:15:22.168Z" }, + { url = "https://files.pythonhosted.org/packages/80/c4/f5af4c1ca8c1eeb2e92ccca14ce8effdeec651d5ab6053c589b074eda6e1/psutil-7.2.2-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:1a7b04c10f32cc88ab39cbf606e117fd74721c831c98a27dc04578deb0c16979", size = 129859, upload-time = "2026-01-28T18:15:23.795Z" }, + { url = "https://files.pythonhosted.org/packages/b5/70/5d8df3b09e25bce090399cf48e452d25c935ab72dad19406c77f4e828045/psutil-7.2.2-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:076a2d2f923fd4821644f5ba89f059523da90dc9014e85f8e45a5774ca5bc6f9", size = 155560, upload-time = "2026-01-28T18:15:25.976Z" }, + { url = "https://files.pythonhosted.org/packages/63/65/37648c0c158dc222aba51c089eb3bdfa238e621674dc42d48706e639204f/psutil-7.2.2-cp36-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b0726cecd84f9474419d67252add4ac0cd9811b04d61123054b9fb6f57df6e9e", size = 156997, upload-time = "2026-01-28T18:15:27.794Z" }, + { url = "https://files.pythonhosted.org/packages/8e/13/125093eadae863ce03c6ffdbae9929430d116a246ef69866dad94da3bfbc/psutil-7.2.2-cp36-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:fd04ef36b4a6d599bbdb225dd1d3f51e00105f6d48a28f006da7f9822f2606d8", size = 148972, upload-time = "2026-01-28T18:15:29.342Z" }, + { url = "https://files.pythonhosted.org/packages/04/78/0acd37ca84ce3ddffaa92ef0f571e073faa6d8ff1f0559ab1272188ea2be/psutil-7.2.2-cp36-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b58fabe35e80b264a4e3bb23e6b96f9e45a3df7fb7eed419ac0e5947c61e47cc", size = 148266, upload-time = "2026-01-28T18:15:31.597Z" }, + { url = "https://files.pythonhosted.org/packages/b4/90/e2159492b5426be0c1fef7acba807a03511f97c5f86b3caeda6ad92351a7/psutil-7.2.2-cp37-abi3-win_amd64.whl", hash = "sha256:eb7e81434c8d223ec4a219b5fc1c47d0417b12be7ea866e24fb5ad6e84b3d988", size = 137737, upload-time = "2026-01-28T18:15:33.849Z" }, + { url = "https://files.pythonhosted.org/packages/8c/c7/7bb2e321574b10df20cbde462a94e2b71d05f9bbda251ef27d104668306a/psutil-7.2.2-cp37-abi3-win_arm64.whl", hash = "sha256:8c233660f575a5a89e6d4cb65d9f938126312bca76d8fe087b947b3a1aaac9ee", size = 134617, upload-time = "2026-01-28T18:15:36.514Z" }, ] [[package]] @@ -1832,11 +1838,11 @@ wheels = [ [[package]] name = "pybind11" -version = "3.0.1" +version = "3.0.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/2f/7b/a6d8dcb83c457e24a9df1e4d8fd5fb8034d4bbc62f3c324681e8a9ba57c2/pybind11-3.0.1.tar.gz", hash = "sha256:9c0f40056a016da59bab516efb523089139fcc6f2ba7e4930854c61efb932051", size = 546914, upload-time = "2025-08-22T20:09:27.265Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a5/98/9118a0659646f1628c592ef9bb48e0056efa6bf27c951fd12a178e0136fb/pybind11-3.0.2.tar.gz", hash = "sha256:432f01aeb68e361a3a7fc7575c2c7f497595bf640f747acd909ff238dd766e06", size = 577131, upload-time = "2026-02-17T04:46:52.556Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/cd/8a/37362fc2b949d5f733a8b0f2ff51ba423914cabefe69f1d1b6aab710f5fe/pybind11-3.0.1-py3-none-any.whl", hash = "sha256:aa8f0aa6e0a94d3b64adfc38f560f33f15e589be2175e103c0a33c6bce55ee89", size = 293611, upload-time = "2025-08-22T20:09:25.235Z" }, + { url = "https://files.pythonhosted.org/packages/88/c5/e98d9c51f3d5300d5e40ad9037dd6b3b60736fd02ab68dcc98c96be7592d/pybind11-3.0.2-py3-none-any.whl", hash = "sha256:f8a6500548919cc33bcd220d5f984688326f574fa97f1107f2f4fdb4c6fb019f", size = 310158, upload-time = "2026-02-17T04:46:49.91Z" }, ] [[package]] @@ -2017,7 +2023,7 @@ wheels = [ [[package]] name = "python-fasthtml" -version = "0.12.39" +version = "0.12.43" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "beautifulsoup4" }, @@ -2031,9 +2037,9 @@ dependencies = [ { name = "starlette" }, { name = "uvicorn", extra = ["standard"] }, ] -sdist = { url = "https://files.pythonhosted.org/packages/b3/60/6b3b7ec0ab8054928b74cfa7ee49d90c3cde576268e054ba9f17989b7c1e/python_fasthtml-0.12.39.tar.gz", hash = "sha256:ae324b34a1586698b052cad8e9ff9255bd6cb486b01b946e95b9b63f220a5532", size = 70842, upload-time = "2026-01-09T23:54:14.017Z" } +sdist = { url = "https://files.pythonhosted.org/packages/ac/ae/9dbc5131c66db21b23eb2ee9f713ba6137fc7b83a9ef5af6d143c08c8406/python_fasthtml-0.12.43.tar.gz", hash = "sha256:23cc46020bfe720e241b6e088f520b71ae9d12ccd55e457a2a9e99eb9c937bcb", size = 71914, upload-time = "2026-02-20T05:03:17.947Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/f7/1b/354a0ab669703f87e9ab0464670be8791a9de59c2693ffb0d9a584927b5e/python_fasthtml-0.12.39-py3-none-any.whl", hash = "sha256:d9d2a173714852f906d1821f5eeb40640db2ef2b2f997edee63471feb58127be", size = 73179, upload-time = "2026-01-09T23:54:12.07Z" }, + { url = "https://files.pythonhosted.org/packages/41/3f/1768b40ccbf0069d2e3aa423603bc60d17cfa0b4650c6a6baeb7744115d4/python_fasthtml-0.12.43-py3-none-any.whl", hash = "sha256:0b4e8665ee43df70ced0d96ee39d3d166d70ecbef6a7c3ae2f4df3ae7b6a2dbc", size = 75671, upload-time = "2026-02-20T05:03:16.447Z" }, ] [[package]] @@ -2158,41 +2164,40 @@ wheels = [ [[package]] name = "rich" -version = "14.3.1" +version = "14.3.3" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "markdown-it-py" }, { name = "pygments" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/a1/84/4831f881aa6ff3c976f6d6809b58cdfa350593ffc0dc3c58f5f6586780fb/rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8", size = 230125, upload-time = "2026-01-24T21:40:44.847Z" } +sdist = { url = "https://files.pythonhosted.org/packages/b3/c6/f3b320c27991c46f43ee9d856302c70dc2d0fb2dba4842ff739d5f46b393/rich-14.3.3.tar.gz", hash = "sha256:b8daa0b9e4eef54dd8cf7c86c03713f53241884e814f4e2f5fb342fe520f639b", size = 230582, upload-time = "2026-02-19T17:23:12.474Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/87/2a/a1810c8627b9ec8c57ec5ec325d306701ae7be50235e8fd81266e002a3cc/rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e", size = 309952, upload-time = "2026-01-24T21:40:42.969Z" }, + { url = "https://files.pythonhosted.org/packages/14/25/b208c5683343959b670dc001595f2f3737e051da617f66c31f7c4fa93abc/rich-14.3.3-py3-none-any.whl", hash = "sha256:793431c1f8619afa7d3b52b2cdec859562b950ea0d4b6b505397612db8d5362d", size = 310458, upload-time = "2026-02-19T17:23:13.732Z" }, ] [[package]] name = "ruff" -version = "0.14.14" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/2e/06/f71e3a86b2df0dfa2d2f72195941cd09b44f87711cb7fa5193732cb9a5fc/ruff-0.14.14.tar.gz", hash = "sha256:2d0f819c9a90205f3a867dbbd0be083bee9912e170fd7d9704cc8ae45824896b", size = 4515732, upload-time = "2026-01-22T22:30:17.527Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d2/89/20a12e97bc6b9f9f68343952da08a8099c57237aef953a56b82711d55edd/ruff-0.14.14-py3-none-linux_armv6l.whl", hash = "sha256:7cfe36b56e8489dee8fbc777c61959f60ec0f1f11817e8f2415f429552846aed", size = 10467650, upload-time = "2026-01-22T22:30:08.578Z" }, - { url = "https://files.pythonhosted.org/packages/a3/b1/c5de3fd2d5a831fcae21beda5e3589c0ba67eec8202e992388e4b17a6040/ruff-0.14.14-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:6006a0082336e7920b9573ef8a7f52eec837add1265cc74e04ea8a4368cd704c", size = 10883245, upload-time = "2026-01-22T22:30:04.155Z" }, - { url = "https://files.pythonhosted.org/packages/b8/7c/3c1db59a10e7490f8f6f8559d1db8636cbb13dccebf18686f4e3c9d7c772/ruff-0.14.14-py3-none-macosx_11_0_arm64.whl", hash = "sha256:026c1d25996818f0bf498636686199d9bd0d9d6341c9c2c3b62e2a0198b758de", size = 10231273, upload-time = "2026-01-22T22:30:34.642Z" }, - { url = "https://files.pythonhosted.org/packages/a1/6e/5e0e0d9674be0f8581d1f5e0f0a04761203affce3232c1a1189d0e3b4dad/ruff-0.14.14-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f666445819d31210b71e0a6d1c01e24447a20b85458eea25a25fe8142210ae0e", size = 10585753, upload-time = "2026-01-22T22:30:31.781Z" }, - { url = "https://files.pythonhosted.org/packages/23/09/754ab09f46ff1884d422dc26d59ba18b4e5d355be147721bb2518aa2a014/ruff-0.14.14-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3c0f18b922c6d2ff9a5e6c3ee16259adc513ca775bcf82c67ebab7cbd9da5bc8", size = 10286052, upload-time = "2026-01-22T22:30:24.827Z" }, - { url = "https://files.pythonhosted.org/packages/c8/cc/e71f88dd2a12afb5f50733851729d6b571a7c3a35bfdb16c3035132675a0/ruff-0.14.14-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1629e67489c2dea43e8658c3dba659edbfd87361624b4040d1df04c9740ae906", size = 11043637, upload-time = "2026-01-22T22:30:13.239Z" }, - { url = "https://files.pythonhosted.org/packages/67/b2/397245026352494497dac935d7f00f1468c03a23a0c5db6ad8fc49ca3fb2/ruff-0.14.14-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:27493a2131ea0f899057d49d303e4292b2cae2bb57253c1ed1f256fbcd1da480", size = 12194761, upload-time = "2026-01-22T22:30:22.542Z" }, - { url = "https://files.pythonhosted.org/packages/5b/06/06ef271459f778323112c51b7587ce85230785cd64e91772034ddb88f200/ruff-0.14.14-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:01ff589aab3f5b539e35db38425da31a57521efd1e4ad1ae08fc34dbe30bd7df", size = 12005701, upload-time = "2026-01-22T22:30:20.499Z" }, - { url = "https://files.pythonhosted.org/packages/41/d6/99364514541cf811ccc5ac44362f88df66373e9fec1b9d1c4cc830593fe7/ruff-0.14.14-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1cc12d74eef0f29f51775f5b755913eb523546b88e2d733e1d701fe65144e89b", size = 11282455, upload-time = "2026-01-22T22:29:59.679Z" }, - { url = "https://files.pythonhosted.org/packages/ca/71/37daa46f89475f8582b7762ecd2722492df26421714a33e72ccc9a84d7a5/ruff-0.14.14-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb8481604b7a9e75eff53772496201690ce2687067e038b3cc31aaf16aa0b974", size = 11215882, upload-time = "2026-01-22T22:29:57.032Z" }, - { url = "https://files.pythonhosted.org/packages/2c/10/a31f86169ec91c0705e618443ee74ede0bdd94da0a57b28e72db68b2dbac/ruff-0.14.14-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:14649acb1cf7b5d2d283ebd2f58d56b75836ed8c6f329664fa91cdea19e76e66", size = 11180549, upload-time = "2026-01-22T22:30:27.175Z" }, - { url = "https://files.pythonhosted.org/packages/fd/1e/c723f20536b5163adf79bdd10c5f093414293cdf567eed9bdb7b83940f3f/ruff-0.14.14-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:e8058d2145566510790eab4e2fad186002e288dec5e0d343a92fe7b0bc1b3e13", size = 10543416, upload-time = "2026-01-22T22:30:01.964Z" }, - { url = "https://files.pythonhosted.org/packages/3e/34/8a84cea7e42c2d94ba5bde1d7a4fae164d6318f13f933d92da6d7c2041ff/ruff-0.14.14-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:e651e977a79e4c758eb807f0481d673a67ffe53cfa92209781dfa3a996cf8412", size = 10285491, upload-time = "2026-01-22T22:30:29.51Z" }, - { url = "https://files.pythonhosted.org/packages/55/ef/b7c5ea0be82518906c978e365e56a77f8de7678c8bb6651ccfbdc178c29f/ruff-0.14.14-py3-none-musllinux_1_2_i686.whl", hash = "sha256:cc8b22da8d9d6fdd844a68ae937e2a0adf9b16514e9a97cc60355e2d4b219fc3", size = 10733525, upload-time = "2026-01-22T22:30:06.499Z" }, - { url = "https://files.pythonhosted.org/packages/6a/5b/aaf1dfbcc53a2811f6cc0a1759de24e4b03e02ba8762daabd9b6bd8c59e3/ruff-0.14.14-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:16bc890fb4cc9781bb05beb5ab4cd51be9e7cb376bf1dd3580512b24eb3fda2b", size = 11315626, upload-time = "2026-01-22T22:30:36.848Z" }, - { url = "https://files.pythonhosted.org/packages/2c/aa/9f89c719c467dfaf8ad799b9bae0df494513fb21d31a6059cb5870e57e74/ruff-0.14.14-py3-none-win32.whl", hash = "sha256:b530c191970b143375b6a68e6f743800b2b786bbcf03a7965b06c4bf04568167", size = 10502442, upload-time = "2026-01-22T22:30:38.93Z" }, - { url = "https://files.pythonhosted.org/packages/87/44/90fa543014c45560cae1fffc63ea059fb3575ee6e1cb654562197e5d16fb/ruff-0.14.14-py3-none-win_amd64.whl", hash = "sha256:3dde1435e6b6fe5b66506c1dff67a421d0b7f6488d466f651c07f4cab3bf20fd", size = 11630486, upload-time = "2026-01-22T22:30:10.852Z" }, - { url = "https://files.pythonhosted.org/packages/9e/6a/40fee331a52339926a92e17ae748827270b288a35ef4a15c9c8f2ec54715/ruff-0.14.14-py3-none-win_arm64.whl", hash = "sha256:56e6981a98b13a32236a72a8da421d7839221fa308b223b9283312312e5ac76c", size = 10920448, upload-time = "2026-01-22T22:30:15.417Z" }, +version = "0.15.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/06/04/eab13a954e763b0606f460443fcbf6bb5a0faf06890ea3754ff16523dce5/ruff-0.15.2.tar.gz", hash = "sha256:14b965afee0969e68bb871eba625343b8673375f457af4abe98553e8bbb98342", size = 4558148, upload-time = "2026-02-19T22:32:20.271Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2f/70/3a4dc6d09b13cb3e695f28307e5d889b2e1a66b7af9c5e257e796695b0e6/ruff-0.15.2-py3-none-linux_armv6l.whl", hash = "sha256:120691a6fdae2f16d65435648160f5b81a9625288f75544dc40637436b5d3c0d", size = 10430565, upload-time = "2026-02-19T22:32:41.824Z" }, + { url = "https://files.pythonhosted.org/packages/71/0b/bb8457b56185ece1305c666dc895832946d24055be90692381c31d57466d/ruff-0.15.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:a89056d831256099658b6bba4037ac6dd06f49d194199215befe2bb10457ea5e", size = 10820354, upload-time = "2026-02-19T22:32:07.366Z" }, + { url = "https://files.pythonhosted.org/packages/2d/c1/e0532d7f9c9e0b14c46f61b14afd563298b8b83f337b6789ddd987e46121/ruff-0.15.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:e36dee3a64be0ebd23c86ffa3aa3fd3ac9a712ff295e192243f814a830b6bd87", size = 10170767, upload-time = "2026-02-19T22:32:13.188Z" }, + { url = "https://files.pythonhosted.org/packages/47/e8/da1aa341d3af017a21c7a62fb5ec31d4e7ad0a93ab80e3a508316efbcb23/ruff-0.15.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a9fb47b6d9764677f8c0a193c0943ce9a05d6763523f132325af8a858eadc2b9", size = 10529591, upload-time = "2026-02-19T22:32:02.547Z" }, + { url = "https://files.pythonhosted.org/packages/93/74/184fbf38e9f3510231fbc5e437e808f0b48c42d1df9434b208821efcd8d6/ruff-0.15.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f376990f9d0d6442ea9014b19621d8f2aaf2b8e39fdbfc79220b7f0c596c9b80", size = 10260771, upload-time = "2026-02-19T22:32:36.938Z" }, + { url = "https://files.pythonhosted.org/packages/05/ac/605c20b8e059a0bc4b42360414baa4892ff278cec1c91fff4be0dceedefd/ruff-0.15.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2dcc987551952d73cbf5c88d9fdee815618d497e4df86cd4c4824cc59d5dd75f", size = 11045791, upload-time = "2026-02-19T22:32:31.642Z" }, + { url = "https://files.pythonhosted.org/packages/fd/52/db6e419908f45a894924d410ac77d64bdd98ff86901d833364251bd08e22/ruff-0.15.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:42a47fd785cbe8c01b9ff45031af875d101b040ad8f4de7bbb716487c74c9a77", size = 11879271, upload-time = "2026-02-19T22:32:29.305Z" }, + { url = "https://files.pythonhosted.org/packages/3e/d8/7992b18f2008bdc9231d0f10b16df7dda964dbf639e2b8b4c1b4e91b83af/ruff-0.15.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cbe9f49354866e575b4c6943856989f966421870e85cd2ac94dccb0a9dcb2fea", size = 11303707, upload-time = "2026-02-19T22:32:22.492Z" }, + { url = "https://files.pythonhosted.org/packages/d7/02/849b46184bcfdd4b64cde61752cc9a146c54759ed036edd11857e9b8443b/ruff-0.15.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7a672c82b5f9887576087d97be5ce439f04bbaf548ee987b92d3a7dede41d3a", size = 11149151, upload-time = "2026-02-19T22:32:44.234Z" }, + { url = "https://files.pythonhosted.org/packages/70/04/f5284e388bab60d1d3b99614a5a9aeb03e0f333847e2429bebd2aaa1feec/ruff-0.15.2-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:72ecc64f46f7019e2bcc3cdc05d4a7da958b629a5ab7033195e11a438403d956", size = 11091132, upload-time = "2026-02-19T22:32:24.691Z" }, + { url = "https://files.pythonhosted.org/packages/fa/ae/88d844a21110e14d92cf73d57363fab59b727ebeabe78009b9ccb23500af/ruff-0.15.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:8dcf243b15b561c655c1ef2f2b0050e5d50db37fe90115507f6ff37d865dc8b4", size = 10504717, upload-time = "2026-02-19T22:32:26.75Z" }, + { url = "https://files.pythonhosted.org/packages/64/27/867076a6ada7f2b9c8292884ab44d08fd2ba71bd2b5364d4136f3cd537e1/ruff-0.15.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:dab6941c862c05739774677c6273166d2510d254dac0695c0e3f5efa1b5585de", size = 10263122, upload-time = "2026-02-19T22:32:10.036Z" }, + { url = "https://files.pythonhosted.org/packages/e7/ef/faf9321d550f8ebf0c6373696e70d1758e20ccdc3951ad7af00c0956be7c/ruff-0.15.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:1b9164f57fc36058e9a6806eb92af185b0697c9fe4c7c52caa431c6554521e5c", size = 10735295, upload-time = "2026-02-19T22:32:39.227Z" }, + { url = "https://files.pythonhosted.org/packages/2f/55/e8089fec62e050ba84d71b70e7834b97709ca9b7aba10c1a0b196e493f97/ruff-0.15.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:80d24fcae24d42659db7e335b9e1531697a7102c19185b8dc4a028b952865fd8", size = 11241641, upload-time = "2026-02-19T22:32:34.617Z" }, + { url = "https://files.pythonhosted.org/packages/23/01/1c30526460f4d23222d0fabd5888868262fd0e2b71a00570ca26483cd993/ruff-0.15.2-py3-none-win32.whl", hash = "sha256:fd5ff9e5f519a7e1bd99cbe8daa324010a74f5e2ebc97c6242c08f26f3714f6f", size = 10507885, upload-time = "2026-02-19T22:32:15.635Z" }, + { url = "https://files.pythonhosted.org/packages/5c/10/3d18e3bbdf8fc50bbb4ac3cc45970aa5a9753c5cb51bf9ed9a3cd8b79fa3/ruff-0.15.2-py3-none-win_amd64.whl", hash = "sha256:d20014e3dfa400f3ff84830dfb5755ece2de45ab62ecea4af6b7262d0fb4f7c5", size = 11623725, upload-time = "2026-02-19T22:32:04.947Z" }, + { url = "https://files.pythonhosted.org/packages/6d/78/097c0798b1dab9f8affe73da9642bb4500e098cb27fd8dc9724816ac747b/ruff-0.15.2-py3-none-win_arm64.whl", hash = "sha256:cabddc5822acdc8f7b5527b36ceac55cc51eec7b1946e60181de8fe83ca8876e", size = 10941649, upload-time = "2026-02-19T22:32:18.108Z" }, ] [[package]] @@ -2273,11 +2278,11 @@ wheels = [ [[package]] name = "setuptools" -version = "71.1.0" +version = "82.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/32/c0/5b8013b5a812701c72e3b1e2b378edaa6514d06bee6704a5ab0d7fa52931/setuptools-71.1.0.tar.gz", hash = "sha256:032d42ee9fb536e33087fb66cac5f840eb9391ed05637b3f2a76a7c8fb477936", size = 2422233, upload-time = "2024-07-21T16:20:59.704Z" } +sdist = { url = "https://files.pythonhosted.org/packages/82/f3/748f4d6f65d1756b9ae577f329c951cda23fb900e4de9f70900ced962085/setuptools-82.0.0.tar.gz", hash = "sha256:22e0a2d69474c6ae4feb01951cb69d515ed23728cf96d05513d36e42b62b37cb", size = 1144893, upload-time = "2026-02-08T15:08:40.206Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/51/a0/ee460cc54e68afcf33190d198299c9579a5eafeadef0016ae8563237ccb6/setuptools-71.1.0-py3-none-any.whl", hash = "sha256:33874fdc59b3188304b2e7c80d9029097ea31627180896fb549c578ceb8a0855", size = 2341722, upload-time = "2024-07-21T16:20:54.897Z" }, + { url = "https://files.pythonhosted.org/packages/e1/c6/76dc613121b793286a3f91621d7b75a2b493e0390ddca50f11993eadf192/setuptools-82.0.0-py3-none-any.whl", hash = "sha256:70b18734b607bd1da571d097d236cfcfacaf01de45717d59e6e04b96877532e0", size = 1003468, upload-time = "2026-02-08T15:08:38.723Z" }, ] [[package]] @@ -2414,15 +2419,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/23/d1/136eb2cb77520a31e1f64cbae9d33ec6df0d78bdf4160398e86eec8a8754/tomli-2.4.0-py3-none-any.whl", hash = "sha256:1f776e7d669ebceb01dee46484485f43a4048746235e683bcdffacdf1fb4785a", size = 14477, upload-time = "2026-01-11T11:22:37.446Z" }, ] -[[package]] -name = "toolz" -version = "1.1.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/11/d6/114b492226588d6ff54579d95847662fc69196bdeec318eb45393b24c192/toolz-1.1.0.tar.gz", hash = "sha256:27a5c770d068c110d9ed9323f24f1543e83b2f300a687b7891c1a6d56b697b5b", size = 52613, upload-time = "2025-10-17T04:03:21.661Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/fb/12/5911ae3eeec47800503a238d971e51722ccea5feb8569b735184d5fcdbc0/toolz-1.1.0-py3-none-any.whl", hash = "sha256:15ccc861ac51c53696de0a5d6d4607f99c210739caf987b5d2054f3efed429d8", size = 58093, upload-time = "2025-10-17T04:03:20.435Z" }, -] - [[package]] name = "tornado" version = "6.5.4" @@ -2444,14 +2440,14 @@ wheels = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.3" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "colorama", marker = "sys_platform == 'win32'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737, upload-time = "2024-11-24T20:12:22.481Z" } +sdist = { url = "https://files.pythonhosted.org/packages/09/a9/6ba95a270c6f1fbcd8dac228323f2777d886cb206987444e4bce66338dd4/tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb", size = 169598, upload-time = "2026-02-03T17:35:53.048Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2", size = 78540, upload-time = "2024-11-24T20:12:19.698Z" }, + { url = "https://files.pythonhosted.org/packages/16/e1/3079a9ff9b8e11b846c6ac5c8b5bfb7ff225eee721825310c91b3b50304f/tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf", size = 78374, upload-time = "2026-02-03T17:35:50.982Z" }, ] [[package]] @@ -2465,17 +2461,17 @@ wheels = [ [[package]] name = "typer" -version = "0.21.1" +version = "0.24.0" source = { registry = "https://pypi.org/simple" } dependencies = [ + { name = "annotated-doc" }, { name = "click" }, { name = "rich" }, { name = "shellingham" }, - { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/36/bf/8825b5929afd84d0dabd606c67cd57b8388cb3ec385f7ef19c5cc2202069/typer-0.21.1.tar.gz", hash = "sha256:ea835607cd752343b6b2b7ce676893e5a0324082268b48f27aa058bdb7d2145d", size = 110371, upload-time = "2026-01-06T11:21:10.989Z" } +sdist = { url = "https://files.pythonhosted.org/packages/5a/b6/3e681d3b6bb22647509bdbfdd18055d5adc0dce5c5585359fa46ff805fdc/typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504", size = 118380, upload-time = "2026-02-16T22:08:48.496Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/a0/1d/d9257dd49ff2ca23ea5f132edf1281a0c4f9de8a762b9ae399b670a59235/typer-0.21.1-py3-none-any.whl", hash = "sha256:7985e89081c636b88d172c2ee0cfe33c253160994d47bdfdc302defd7d1f1d01", size = 47381, upload-time = "2026-01-06T11:21:09.824Z" }, + { url = "https://files.pythonhosted.org/packages/85/d0/4da85c2a45054bb661993c93524138ace4956cb075a7ae0c9d1deadc331b/typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8", size = 56441, upload-time = "2026-02-16T22:08:47.535Z" }, ] [[package]] @@ -2510,16 +2506,16 @@ wheels = [ [[package]] name = "uvicorn" -version = "0.40.0" +version = "0.41.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "click" }, { name = "h11" }, { name = "typing-extensions", marker = "python_full_version < '3.11'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/c3/d1/8f3c683c9561a4e6689dd3b1d345c815f10f86acd044ee1fb9a4dcd0b8c5/uvicorn-0.40.0.tar.gz", hash = "sha256:839676675e87e73694518b5574fd0f24c9d97b46bea16df7b8c05ea1a51071ea", size = 81761, upload-time = "2025-12-21T14:16:22.45Z" } +sdist = { url = "https://files.pythonhosted.org/packages/32/ce/eeb58ae4ac36fe09e3842eb02e0eb676bf2c53ae062b98f1b2531673efdd/uvicorn-0.41.0.tar.gz", hash = "sha256:09d11cf7008da33113824ee5a1c6422d89fbc2ff476540d69a34c87fab8b571a", size = 82633, upload-time = "2026-02-16T23:07:24.1Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/3d/d8/2083a1daa7439a66f3a48589a57d576aa117726762618f6bb09fe3798796/uvicorn-0.40.0-py3-none-any.whl", hash = "sha256:c6c8f55bc8bf13eb6fa9ff87ad62308bbbc33d0b67f84293151efe87e0d5f2ee", size = 68502, upload-time = "2025-12-21T14:16:21.041Z" }, + { url = "https://files.pythonhosted.org/packages/83/e4/d04a086285c20886c0daad0e026f250869201013d18f81d9ff5eada73a88/uvicorn-0.41.0-py3-none-any.whl", hash = "sha256:29e35b1d2c36a04b9e180d4007ede3bcb32a85fbdfd6c6aeb3f26839de088187", size = 68783, upload-time = "2026-02-16T23:07:22.357Z" }, ] [package.optional-dependencies] @@ -2627,11 +2623,11 @@ wheels = [ [[package]] name = "wcwidth" -version = "0.5.0" +version = "0.6.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/64/6e/62daec357285b927e82263a81f3b4c1790215bc77c42530ce4a69d501a43/wcwidth-0.5.0.tar.gz", hash = "sha256:f89c103c949a693bf563377b2153082bf58e309919dfb7f27b04d862a0089333", size = 246585, upload-time = "2026-01-27T01:31:44.942Z" } +sdist = { url = "https://files.pythonhosted.org/packages/35/a2/8e3becb46433538a38726c948d3399905a4c7cabd0df578ede5dc51f0ec2/wcwidth-0.6.0.tar.gz", hash = "sha256:cdc4e4262d6ef9a1a57e018384cbeb1208d8abbc64176027e2c2455c81313159", size = 159684, upload-time = "2026-02-06T19:19:40.919Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/f2/3e/45583b67c2ff08ad5a582d316fcb2f11d6cf0a50c7707ac09d212d25bc98/wcwidth-0.5.0-py3-none-any.whl", hash = "sha256:1efe1361b83b0ff7877b81ba57c8562c99cf812158b778988ce17ec061095695", size = 93772, upload-time = "2026-01-27T01:31:43.432Z" }, + { url = "https://files.pythonhosted.org/packages/68/5a/199c59e0a824a3db2b89c5d2dade7ab5f9624dbf6448dc291b46d5ec94d3/wcwidth-0.6.0-py3-none-any.whl", hash = "sha256:1a3a1e510b553315f8e146c54764f4fb6264ffad731b3d78088cdb1478ffbdad", size = 94189, upload-time = "2026-02-06T19:19:39.646Z" }, ] [[package]] @@ -2677,47 +2673,38 @@ wheels = [ [[package]] name = "wrapt" -version = "2.0.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/49/2a/6de8a50cb435b7f42c46126cf1a54b2aab81784e74c8595c8e025e8f36d3/wrapt-2.0.1.tar.gz", hash = "sha256:9c9c635e78497cacb81e84f8b11b23e0aacac7a136e73b8e5b2109a1d9fc468f", size = 82040, upload-time = "2025-11-07T00:45:33.312Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/61/0d/12d8c803ed2ce4e5e7d5b9f5f602721f9dfef82c95959f3ce97fa584bb5c/wrapt-2.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:64b103acdaa53b7caf409e8d45d39a8442fe6dcfec6ba3f3d141e0cc2b5b4dbd", size = 77481, upload-time = "2025-11-07T00:43:11.103Z" }, - { url = "https://files.pythonhosted.org/packages/05/3e/4364ebe221ebf2a44d9fc8695a19324692f7dd2795e64bd59090856ebf12/wrapt-2.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91bcc576260a274b169c3098e9a3519fb01f2989f6d3d386ef9cbf8653de1374", size = 60692, upload-time = "2025-11-07T00:43:13.697Z" }, - { url = "https://files.pythonhosted.org/packages/1f/ff/ae2a210022b521f86a8ddcdd6058d137c051003812b0388a5e9a03d3fe10/wrapt-2.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ab594f346517010050126fcd822697b25a7031d815bb4fbc238ccbe568216489", size = 61574, upload-time = "2025-11-07T00:43:14.967Z" }, - { url = "https://files.pythonhosted.org/packages/c6/93/5cf92edd99617095592af919cb81d4bff61c5dbbb70d3c92099425a8ec34/wrapt-2.0.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:36982b26f190f4d737f04a492a68accbfc6fa042c3f42326fdfbb6c5b7a20a31", size = 113688, upload-time = "2025-11-07T00:43:18.275Z" }, - { url = "https://files.pythonhosted.org/packages/a0/0a/e38fc0cee1f146c9fb266d8ef96ca39fb14a9eef165383004019aa53f88a/wrapt-2.0.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:23097ed8bc4c93b7bf36fa2113c6c733c976316ce0ee2c816f64ca06102034ef", size = 115698, upload-time = "2025-11-07T00:43:19.407Z" }, - { url = "https://files.pythonhosted.org/packages/b0/85/bef44ea018b3925fb0bcbe9112715f665e4d5309bd945191da814c314fd1/wrapt-2.0.1-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:8bacfe6e001749a3b64db47bcf0341da757c95959f592823a93931a422395013", size = 112096, upload-time = "2025-11-07T00:43:16.5Z" }, - { url = "https://files.pythonhosted.org/packages/7c/0b/733a2376e413117e497aa1a5b1b78e8f3a28c0e9537d26569f67d724c7c5/wrapt-2.0.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8ec3303e8a81932171f455f792f8df500fc1a09f20069e5c16bd7049ab4e8e38", size = 114878, upload-time = "2025-11-07T00:43:20.81Z" }, - { url = "https://files.pythonhosted.org/packages/da/03/d81dcb21bbf678fcda656495792b059f9d56677d119ca022169a12542bd0/wrapt-2.0.1-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:3f373a4ab5dbc528a94334f9fe444395b23c2f5332adab9ff4ea82f5a9e33bc1", size = 111298, upload-time = "2025-11-07T00:43:22.229Z" }, - { url = "https://files.pythonhosted.org/packages/c9/d5/5e623040e8056e1108b787020d56b9be93dbbf083bf2324d42cde80f3a19/wrapt-2.0.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f49027b0b9503bf6c8cdc297ca55006b80c2f5dd36cecc72c6835ab6e10e8a25", size = 113361, upload-time = "2025-11-07T00:43:24.301Z" }, - { url = "https://files.pythonhosted.org/packages/a1/f3/de535ccecede6960e28c7b722e5744846258111d6c9f071aa7578ea37ad3/wrapt-2.0.1-cp310-cp310-win32.whl", hash = "sha256:8330b42d769965e96e01fa14034b28a2a7600fbf7e8f0cc90ebb36d492c993e4", size = 58035, upload-time = "2025-11-07T00:43:28.96Z" }, - { url = "https://files.pythonhosted.org/packages/21/15/39d3ca5428a70032c2ec8b1f1c9d24c32e497e7ed81aed887a4998905fcc/wrapt-2.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:1218573502a8235bb8a7ecaed12736213b22dcde9feab115fa2989d42b5ded45", size = 60383, upload-time = "2025-11-07T00:43:25.804Z" }, - { url = "https://files.pythonhosted.org/packages/43/c2/dfd23754b7f7a4dce07e08f4309c4e10a40046a83e9ae1800f2e6b18d7c1/wrapt-2.0.1-cp310-cp310-win_arm64.whl", hash = "sha256:eda8e4ecd662d48c28bb86be9e837c13e45c58b8300e43ba3c9b4fa9900302f7", size = 58894, upload-time = "2025-11-07T00:43:27.074Z" }, - { url = "https://files.pythonhosted.org/packages/98/60/553997acf3939079dab022e37b67b1904b5b0cc235503226898ba573b10c/wrapt-2.0.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0e17283f533a0d24d6e5429a7d11f250a58d28b4ae5186f8f47853e3e70d2590", size = 77480, upload-time = "2025-11-07T00:43:30.573Z" }, - { url = "https://files.pythonhosted.org/packages/2d/50/e5b3d30895d77c52105c6d5cbf94d5b38e2a3dd4a53d22d246670da98f7c/wrapt-2.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:85df8d92158cb8f3965aecc27cf821461bb5f40b450b03facc5d9f0d4d6ddec6", size = 60690, upload-time = "2025-11-07T00:43:31.594Z" }, - { url = "https://files.pythonhosted.org/packages/f0/40/660b2898703e5cbbb43db10cdefcc294274458c3ca4c68637c2b99371507/wrapt-2.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c1be685ac7700c966b8610ccc63c3187a72e33cab53526a27b2a285a662cd4f7", size = 61578, upload-time = "2025-11-07T00:43:32.918Z" }, - { url = "https://files.pythonhosted.org/packages/5b/36/825b44c8a10556957bc0c1d84c7b29a40e05fcf1873b6c40aa9dbe0bd972/wrapt-2.0.1-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:df0b6d3b95932809c5b3fecc18fda0f1e07452d05e2662a0b35548985f256e28", size = 114115, upload-time = "2025-11-07T00:43:35.605Z" }, - { url = "https://files.pythonhosted.org/packages/83/73/0a5d14bb1599677304d3c613a55457d34c344e9b60eda8a737c2ead7619e/wrapt-2.0.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4da7384b0e5d4cae05c97cd6f94faaf78cc8b0f791fc63af43436d98c4ab37bb", size = 116157, upload-time = "2025-11-07T00:43:37.058Z" }, - { url = "https://files.pythonhosted.org/packages/01/22/1c158fe763dbf0a119f985d945711d288994fe5514c0646ebe0eb18b016d/wrapt-2.0.1-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:ec65a78fbd9d6f083a15d7613b2800d5663dbb6bb96003899c834beaa68b242c", size = 112535, upload-time = "2025-11-07T00:43:34.138Z" }, - { url = "https://files.pythonhosted.org/packages/5c/28/4f16861af67d6de4eae9927799b559c20ebdd4fe432e89ea7fe6fcd9d709/wrapt-2.0.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:7de3cc939be0e1174969f943f3b44e0d79b6f9a82198133a5b7fc6cc92882f16", size = 115404, upload-time = "2025-11-07T00:43:39.214Z" }, - { url = "https://files.pythonhosted.org/packages/a0/8b/7960122e625fad908f189b59c4aae2d50916eb4098b0fb2819c5a177414f/wrapt-2.0.1-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:fb1a5b72cbd751813adc02ef01ada0b0d05d3dcbc32976ce189a1279d80ad4a2", size = 111802, upload-time = "2025-11-07T00:43:40.476Z" }, - { url = "https://files.pythonhosted.org/packages/3e/73/7881eee5ac31132a713ab19a22c9e5f1f7365c8b1df50abba5d45b781312/wrapt-2.0.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3fa272ca34332581e00bf7773e993d4f632594eb2d1b0b162a9038df0fd971dd", size = 113837, upload-time = "2025-11-07T00:43:42.921Z" }, - { url = "https://files.pythonhosted.org/packages/45/00/9499a3d14e636d1f7089339f96c4409bbc7544d0889f12264efa25502ae8/wrapt-2.0.1-cp311-cp311-win32.whl", hash = "sha256:fc007fdf480c77301ab1afdbb6ab22a5deee8885f3b1ed7afcb7e5e84a0e27be", size = 58028, upload-time = "2025-11-07T00:43:47.369Z" }, - { url = "https://files.pythonhosted.org/packages/70/5d/8f3d7eea52f22638748f74b102e38fdf88cb57d08ddeb7827c476a20b01b/wrapt-2.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:47434236c396d04875180171ee1f3815ca1eada05e24a1ee99546320d54d1d1b", size = 60385, upload-time = "2025-11-07T00:43:44.34Z" }, - { url = "https://files.pythonhosted.org/packages/14/e2/32195e57a8209003587bbbad44d5922f13e0ced2a493bb46ca882c5b123d/wrapt-2.0.1-cp311-cp311-win_arm64.whl", hash = "sha256:837e31620e06b16030b1d126ed78e9383815cbac914693f54926d816d35d8edf", size = 58893, upload-time = "2025-11-07T00:43:46.161Z" }, - { url = "https://files.pythonhosted.org/packages/cb/73/8cb252858dc8254baa0ce58ce382858e3a1cf616acebc497cb13374c95c6/wrapt-2.0.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:1fdbb34da15450f2b1d735a0e969c24bdb8d8924892380126e2a293d9902078c", size = 78129, upload-time = "2025-11-07T00:43:48.852Z" }, - { url = "https://files.pythonhosted.org/packages/19/42/44a0db2108526ee6e17a5ab72478061158f34b08b793df251d9fbb9a7eb4/wrapt-2.0.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3d32794fe940b7000f0519904e247f902f0149edbe6316c710a8562fb6738841", size = 61205, upload-time = "2025-11-07T00:43:50.402Z" }, - { url = "https://files.pythonhosted.org/packages/4d/8a/5b4b1e44b791c22046e90d9b175f9a7581a8cc7a0debbb930f81e6ae8e25/wrapt-2.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:386fb54d9cd903ee0012c09291336469eb7b244f7183d40dc3e86a16a4bace62", size = 61692, upload-time = "2025-11-07T00:43:51.678Z" }, - { url = "https://files.pythonhosted.org/packages/11/53/3e794346c39f462bcf1f58ac0487ff9bdad02f9b6d5ee2dc84c72e0243b2/wrapt-2.0.1-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:7b219cb2182f230676308cdcacd428fa837987b89e4b7c5c9025088b8a6c9faf", size = 121492, upload-time = "2025-11-07T00:43:55.017Z" }, - { url = "https://files.pythonhosted.org/packages/c6/7e/10b7b0e8841e684c8ca76b462a9091c45d62e8f2de9c4b1390b690eadf16/wrapt-2.0.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:641e94e789b5f6b4822bb8d8ebbdfc10f4e4eae7756d648b717d980f657a9eb9", size = 123064, upload-time = "2025-11-07T00:43:56.323Z" }, - { url = "https://files.pythonhosted.org/packages/0e/d1/3c1e4321fc2f5ee7fd866b2d822aa89b84495f28676fd976c47327c5b6aa/wrapt-2.0.1-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:fe21b118b9f58859b5ebaa4b130dee18669df4bd111daad082b7beb8799ad16b", size = 117403, upload-time = "2025-11-07T00:43:53.258Z" }, - { url = "https://files.pythonhosted.org/packages/a4/b0/d2f0a413cf201c8c2466de08414a15420a25aa83f53e647b7255cc2fab5d/wrapt-2.0.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:17fb85fa4abc26a5184d93b3efd2dcc14deb4b09edcdb3535a536ad34f0b4dba", size = 121500, upload-time = "2025-11-07T00:43:57.468Z" }, - { url = "https://files.pythonhosted.org/packages/bd/45/bddb11d28ca39970a41ed48a26d210505120f925918592283369219f83cc/wrapt-2.0.1-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:b89ef9223d665ab255ae42cc282d27d69704d94be0deffc8b9d919179a609684", size = 116299, upload-time = "2025-11-07T00:43:58.877Z" }, - { url = "https://files.pythonhosted.org/packages/81/af/34ba6dd570ef7a534e7eec0c25e2615c355602c52aba59413411c025a0cb/wrapt-2.0.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:a453257f19c31b31ba593c30d997d6e5be39e3b5ad9148c2af5a7314061c63eb", size = 120622, upload-time = "2025-11-07T00:43:59.962Z" }, - { url = "https://files.pythonhosted.org/packages/e2/3e/693a13b4146646fb03254636f8bafd20c621955d27d65b15de07ab886187/wrapt-2.0.1-cp312-cp312-win32.whl", hash = "sha256:3e271346f01e9c8b1130a6a3b0e11908049fe5be2d365a5f402778049147e7e9", size = 58246, upload-time = "2025-11-07T00:44:03.169Z" }, - { url = "https://files.pythonhosted.org/packages/a7/36/715ec5076f925a6be95f37917b66ebbeaa1372d1862c2ccd7a751574b068/wrapt-2.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:2da620b31a90cdefa9cd0c2b661882329e2e19d1d7b9b920189956b76c564d75", size = 60492, upload-time = "2025-11-07T00:44:01.027Z" }, - { url = "https://files.pythonhosted.org/packages/ef/3e/62451cd7d80f65cc125f2b426b25fbb6c514bf6f7011a0c3904fc8c8df90/wrapt-2.0.1-cp312-cp312-win_arm64.whl", hash = "sha256:aea9c7224c302bc8bfc892b908537f56c430802560e827b75ecbde81b604598b", size = 58987, upload-time = "2025-11-07T00:44:02.095Z" }, - { url = "https://files.pythonhosted.org/packages/15/d1/b51471c11592ff9c012bd3e2f7334a6ff2f42a7aed2caffcf0bdddc9cb89/wrapt-2.0.1-py3-none-any.whl", hash = "sha256:4d2ce1bf1a48c5277d7969259232b57645aae5686dba1eaeade39442277afbca", size = 44046, upload-time = "2025-11-07T00:45:32.116Z" }, +version = "2.1.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f7/37/ae31f40bec90de2f88d9597d0b5281e23ffe85b893a47ca5d9c05c63a4f6/wrapt-2.1.1.tar.gz", hash = "sha256:5fdcb09bf6db023d88f312bd0767594b414655d58090fc1c46b3414415f67fac", size = 81329, upload-time = "2026-02-03T02:12:13.786Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ca/21/293b657a27accfbbbb6007ebd78af0efa2083dac83e8f523272ea09b4638/wrapt-2.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7e927375e43fd5a985b27a8992327c22541b6dede1362fc79df337d26e23604f", size = 60554, upload-time = "2026-02-03T02:11:17.362Z" }, + { url = "https://files.pythonhosted.org/packages/25/e9/96dd77728b54a899d4ce2798d7b1296989ce687ed3c0cb917d6b3154bf5d/wrapt-2.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c99544b6a7d40ca22195563b6d8bc3986ee8bb82f272f31f0670fe9440c869", size = 61496, upload-time = "2026-02-03T02:12:54.732Z" }, + { url = "https://files.pythonhosted.org/packages/44/79/4c755b45df6ef30c0dd628ecfaa0c808854be147ca438429da70a162833c/wrapt-2.1.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:b2be3fa5f4efaf16ee7c77d0556abca35f5a18ad4ac06f0ef3904c3399010ce9", size = 113528, upload-time = "2026-02-03T02:12:26.405Z" }, + { url = "https://files.pythonhosted.org/packages/9f/63/23ce28f7b841217d9a6337a340fbb8d4a7fbd67a89d47f377c8550fa34aa/wrapt-2.1.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:67c90c1ae6489a6cb1a82058902caa8006706f7b4e8ff766f943e9d2c8e608d0", size = 115536, upload-time = "2026-02-03T02:11:54.397Z" }, + { url = "https://files.pythonhosted.org/packages/23/7b/5ca8d3b12768670d16c8329e29960eedd56212770365a02a8de8bf73dc01/wrapt-2.1.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:05c0db35ccffd7480143e62df1e829d101c7b86944ae3be7e4869a7efa621f53", size = 114716, upload-time = "2026-02-03T02:12:20.771Z" }, + { url = "https://files.pythonhosted.org/packages/c7/3a/9789ccb14a096d30bb847bf3ee137bf682cc9750c2ce155f4c5ae1962abf/wrapt-2.1.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0c2ec9f616755b2e1e0bf4d0961f59bb5c2e7a77407e7e2c38ef4f7d2fdde12c", size = 113200, upload-time = "2026-02-03T02:12:07.688Z" }, + { url = "https://files.pythonhosted.org/packages/cf/e5/4ec3526ce6ce920b267c8d35d2c2f0874d3fad2744c8b7259353f1132baa/wrapt-2.1.1-cp310-cp310-win32.whl", hash = "sha256:203ba6b3f89e410e27dbd30ff7dccaf54dcf30fda0b22aa1b82d560c7f9fe9a1", size = 57876, upload-time = "2026-02-03T02:11:42.61Z" }, + { url = "https://files.pythonhosted.org/packages/d1/4e/661c7c76ecd85375b2bc03488941a3a1078642af481db24949e2b9de01f4/wrapt-2.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:6f9426d9cfc2f8732922fc96198052e55c09bb9db3ddaa4323a18e055807410e", size = 60224, upload-time = "2026-02-03T02:11:19.096Z" }, + { url = "https://files.pythonhosted.org/packages/5f/b7/53c7252d371efada4cb119e72e774fa2c6b3011fc33e3e552cdf48fb9488/wrapt-2.1.1-cp310-cp310-win_arm64.whl", hash = "sha256:69c26f51b67076b40714cff81bdd5826c0b10c077fb6b0678393a6a2f952a5fc", size = 58645, upload-time = "2026-02-03T02:12:10.396Z" }, + { url = "https://files.pythonhosted.org/packages/b8/a8/9254e4da74b30a105935197015b18b31b7a298bf046e67d8952ef74967bd/wrapt-2.1.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6c366434a7fb914c7a5de508ed735ef9c133367114e1a7cb91dfb5cd806a1549", size = 60554, upload-time = "2026-02-03T02:11:13.038Z" }, + { url = "https://files.pythonhosted.org/packages/9e/a1/378579880cc7af226354054a2c255f69615b379d8adad482bfe2f22a0dc2/wrapt-2.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5d6a2068bd2e1e19e5a317c8c0b288267eec4e7347c36bc68a6e378a39f19ee7", size = 61491, upload-time = "2026-02-03T02:12:56.077Z" }, + { url = "https://files.pythonhosted.org/packages/dc/72/957b51c56acca35701665878ad31626182199fc4afecfe67dea072210f95/wrapt-2.1.1-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:891ab4713419217b2aed7dd106c9200f64e6a82226775a0d2ebd6bef2ebd1747", size = 113949, upload-time = "2026-02-03T02:11:04.516Z" }, + { url = "https://files.pythonhosted.org/packages/cd/74/36bbebb4a3d2ae9c3e6929639721f8606cd0710a82a777c371aa69e36504/wrapt-2.1.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c8ef36a0df38d2dc9d907f6617f89e113c5892e0a35f58f45f75901af0ce7d81", size = 115989, upload-time = "2026-02-03T02:12:19.398Z" }, + { url = "https://files.pythonhosted.org/packages/ae/0d/f1177245a083c7be284bc90bddfe5aece32cdd5b858049cb69ce001a0e8d/wrapt-2.1.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:76e9af3ebd86f19973143d4d592cbf3e970cf3f66ddee30b16278c26ae34b8ab", size = 115242, upload-time = "2026-02-03T02:11:08.111Z" }, + { url = "https://files.pythonhosted.org/packages/62/3e/3b7cf5da27e59df61b1eae2d07dd03ff5d6f75b5408d694873cca7a8e33c/wrapt-2.1.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ff562067485ebdeaef2fa3fe9b1876bc4e7b73762e0a01406ad81e2076edcebf", size = 113676, upload-time = "2026-02-03T02:12:41.026Z" }, + { url = "https://files.pythonhosted.org/packages/f7/65/8248d3912c705f2c66f81cb97c77436f37abcbedb16d633b5ab0d795d8cd/wrapt-2.1.1-cp311-cp311-win32.whl", hash = "sha256:9e60a30aa0909435ec4ea2a3c53e8e1b50ac9f640c0e9fe3f21fd248a22f06c5", size = 57863, upload-time = "2026-02-03T02:12:18.112Z" }, + { url = "https://files.pythonhosted.org/packages/6b/31/d29310ab335f71f00c50466153b3dc985aaf4a9fc03263e543e136859541/wrapt-2.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:7d79954f51fcf84e5ec4878ab4aea32610d70145c5bbc84b3370eabfb1e096c2", size = 60224, upload-time = "2026-02-03T02:12:29.289Z" }, + { url = "https://files.pythonhosted.org/packages/0c/90/a6ec319affa6e2894962a0cb9d73c67f88af1a726d15314bfb5c88b8a08d/wrapt-2.1.1-cp311-cp311-win_arm64.whl", hash = "sha256:d3ffc6b0efe79e08fd947605fd598515aebefe45e50432dc3b5cd437df8b1ada", size = 58643, upload-time = "2026-02-03T02:12:43.022Z" }, + { url = "https://files.pythonhosted.org/packages/df/cb/4d5255d19bbd12be7f8ee2c1fb4269dddec9cef777ef17174d357468efaa/wrapt-2.1.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ab8e3793b239db021a18782a5823fcdea63b9fe75d0e340957f5828ef55fcc02", size = 61143, upload-time = "2026-02-03T02:11:46.313Z" }, + { url = "https://files.pythonhosted.org/packages/6f/07/7ed02daa35542023464e3c8b7cb937fa61f6c61c0361ecf8f5fecf8ad8da/wrapt-2.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7c0300007836373d1c2df105b40777986accb738053a92fe09b615a7a4547e9f", size = 61740, upload-time = "2026-02-03T02:12:51.966Z" }, + { url = "https://files.pythonhosted.org/packages/c4/60/a237a4e4a36f6d966061ccc9b017627d448161b19e0a3ab80a7c7c97f859/wrapt-2.1.1-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:2b27c070fd1132ab23957bcd4ee3ba707a91e653a9268dc1afbd39b77b2799f7", size = 121327, upload-time = "2026-02-03T02:11:06.796Z" }, + { url = "https://files.pythonhosted.org/packages/ae/fe/9139058a3daa8818fc67e6460a2340e8bbcf3aef8b15d0301338bbe181ca/wrapt-2.1.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8b0e36d845e8b6f50949b6b65fc6cd279f47a1944582ed4ec8258cd136d89a64", size = 122903, upload-time = "2026-02-03T02:12:48.657Z" }, + { url = "https://files.pythonhosted.org/packages/91/10/b8479202b4164649675846a531763531f0a6608339558b5a0a718fc49a8d/wrapt-2.1.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4aeea04a9889370fcfb1ef828c4cc583f36a875061505cd6cd9ba24d8b43cc36", size = 121333, upload-time = "2026-02-03T02:11:32.148Z" }, + { url = "https://files.pythonhosted.org/packages/5f/75/75fc793b791d79444aca2c03ccde64e8b99eda321b003f267d570b7b0985/wrapt-2.1.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d88b46bb0dce9f74b6817bc1758ff2125e1ca9e1377d62ea35b6896142ab6825", size = 120458, upload-time = "2026-02-03T02:11:16.039Z" }, + { url = "https://files.pythonhosted.org/packages/d7/8f/c3f30d511082ca6d947c405f9d8f6c8eaf83cfde527c439ec2c9a30eb5ea/wrapt-2.1.1-cp312-cp312-win32.whl", hash = "sha256:63decff76ca685b5c557082dfbea865f3f5f6d45766a89bff8dc61d336348833", size = 58086, upload-time = "2026-02-03T02:12:35.041Z" }, + { url = "https://files.pythonhosted.org/packages/0a/c8/37625b643eea2849f10c3b90f69c7462faa4134448d4443234adaf122ae5/wrapt-2.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:b828235d26c1e35aca4107039802ae4b1411be0fe0367dd5b7e4d90e562fcbcd", size = 60328, upload-time = "2026-02-03T02:12:45.808Z" }, + { url = "https://files.pythonhosted.org/packages/ce/79/56242f07572d5682ba8065a9d4d9c2218313f576e3c3471873c2a5355ffd/wrapt-2.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:75128507413a9f1bcbe2db88fd18fbdbf80f264b82fa33a6996cdeaf01c52352", size = 58722, upload-time = "2026-02-03T02:12:27.949Z" }, + { url = "https://files.pythonhosted.org/packages/c4/da/5a086bf4c22a41995312db104ec2ffeee2cf6accca9faaee5315c790377d/wrapt-2.1.1-py3-none-any.whl", hash = "sha256:3b0f4629eb954394a3d7c7a1c8cca25f0b07cefe6aa8545e862e9778152de5b7", size = 43886, upload-time = "2026-02-03T02:11:45.048Z" }, ] [[package]] @@ -2739,7 +2726,7 @@ wheels = [ [[package]] name = "xarray" -version = "2025.12.0" +version = "2026.2.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ "python_full_version >= '3.12'", @@ -2750,9 +2737,9 @@ dependencies = [ { name = "packaging", marker = "python_full_version >= '3.11'" }, { name = "pandas", marker = "python_full_version >= '3.11'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/d3/af/7b945f331ba8911fdfff2fdfa092763156119f124be1ba4144615c540222/xarray-2025.12.0.tar.gz", hash = "sha256:73f6a6fadccc69c4d45bdd70821a47c72de078a8a0313ff8b1e97cd54ac59fed", size = 3082244, upload-time = "2025-12-05T21:51:22.432Z" } +sdist = { url = "https://files.pythonhosted.org/packages/0f/03/e3353b72e518574b32993989d8f696277bf878e9d508c7dd22e86c0dab5b/xarray-2026.2.0.tar.gz", hash = "sha256:978b6acb018770554f8fd964af4eb02f9bcc165d4085dbb7326190d92aa74bcf", size = 3111388, upload-time = "2026-02-13T22:20:50.18Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/d5/e4/62a677feefde05b12a70a4fc9bdc8558010182a801fbcab68cb56c2b0986/xarray-2025.12.0-py3-none-any.whl", hash = "sha256:9e77e820474dbbe4c6c2954d0da6342aa484e33adaa96ab916b15a786181e970", size = 1381742, upload-time = "2025-12-05T21:51:20.841Z" }, + { url = "https://files.pythonhosted.org/packages/99/92/545eb2ca17fc0e05456728d7e4378bfee48d66433ae3b7e71948e46826fb/xarray-2026.2.0-py3-none-any.whl", hash = "sha256:e927d7d716ea71dea78a13417970850a640447d8dd2ceeb65c5687f6373837c9", size = 1405358, upload-time = "2026-02-13T22:20:47.847Z" }, ] [[package]] @@ -2777,15 +2764,31 @@ name = "xarray-einstats" version = "0.9.1" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12'", "python_full_version == '3.11.*'", ] dependencies = [ - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "xarray", version = "2025.12.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, + { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, + { name = "xarray", version = "2026.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/f1/10/ef474494a7f2102ec4c02352c723fa282c6237b600565eb82ee354291211/xarray_einstats-0.9.1.tar.gz", hash = "sha256:39b373deed43592c41d3fbf8863af62e19e01c1ae553ae5ff059a8df78d995c6", size = 33327, upload-time = "2025-06-18T15:53:28.499Z" } wheels = [ { url = "https://files.pythonhosted.org/packages/17/8b/ed2f0f49385c3d7739cd4699954add26e8f09a372a0c3f04f2bde32fcea2/xarray_einstats-0.9.1-py3-none-any.whl", hash = "sha256:777339524e85d066f2ef9ed1e3a3fb63aead4c1065fd1406f30dfa4de58ce063", size = 39043, upload-time = "2025-06-18T15:53:24.088Z" }, ] + +[[package]] +name = "xarray-einstats" +version = "0.10.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.12'", +] +dependencies = [ + { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "xarray", version = "2026.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/48/9b/305ee6a2dac75fc9c28105db061408df6ecbf0f7a1de37636e8e4ea47ca7/xarray_einstats-0.10.0.tar.gz", hash = "sha256:d432a363fc8f09baad164f9826dc711551c684b9abd8098c1b961d18663a627d", size = 33449, upload-time = "2026-02-19T18:13:55.245Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/19/d4/225027a913621a879b429a043674aa35220e6ce67785acad4f7bd0c4ff33/xarray_einstats-0.10.0-py3-none-any.whl", hash = "sha256:fa3169b46cee29092db820d8bbc203148bada4fc970ee75e62cbf3dd7c5a8945", size = 39099, upload-time = "2026-02-19T18:13:53.174Z" }, +] From 3ff32b74fc1286ce19c22a6a7b091d18f3c482bd Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Sun, 12 Apr 2026 05:02:36 -0700 Subject: [PATCH 18/20] exclude newer --- pyproject.toml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index 947999b4..8f448bab 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -26,6 +26,9 @@ dependencies = [ "jax-galsim", ] +[tool.uv] +exclude-newer = "1 week" + [tool.uv.sources] jax-galsim = { git = "https://github.com/GalSim-developers/JAX-GalSim.git", branch = "main" } From 58cc4d661c08d717adbc051fc4244f225591fd05 Mon Sep 17 00:00:00 2001 From: ismael2395 Date: Sun, 12 Apr 2026 05:04:11 -0700 Subject: [PATCH 19/20] final timing figure --- bpd/plotting.py | 16 ++++++++++++++-- paper/timing.png | Bin 119176 -> 121822 bytes paper/timing2.png | Bin 83090 -> 82087 bytes paper/total_timing.png | Bin 88281 -> 86402 bytes scripts/get_paper_figures.py | 19 ++++++++----------- 5 files changed, 22 insertions(+), 13 deletions(-) diff --git a/bpd/plotting.py b/bpd/plotting.py index d67f9ad8..6073f6ca 100644 --- a/bpd/plotting.py +++ b/bpd/plotting.py @@ -94,11 +94,11 @@ def get_timing_figure( n_chains = int(n_gals_str) # new fmt t_per_obj_warmup = t_warmup / n_chains - t_per_obj_per_sample_sampling = t_sampling / (n_chains * n_samples) + t_per_obj_per_sample_sampling = t_sampling / (n_chains * n_samples) / avg_ess t_per_obj_arr = ( t_per_obj_warmup + t_per_obj_per_sample_sampling * n_samples_array ) - t_per_obj_dict[n_chains] = t_per_obj_arr / avg_ess + t_per_obj_dict[n_chains] = t_per_obj_arr if n_gals_str == max_n_gal_str: print( @@ -106,6 +106,16 @@ def get_timing_figure( ) print(f"Global best warmup: {t_per_obj_warmup:.2g} sec") + the_idx = np.where(n_samples_array == 300)[0][0] + t1 = t_per_obj_arr[the_idx].item() * n_chains + t2 = t_per_obj_arr[the_idx].item() + + print( + f"Total time (300 effective samples) with {n_gals_str} chains: {t1:.4g} sec" + ) + print( + f"Time per galaxy (300 effective samples) with {n_gals_str} chains: {t2:.4g} sec" + ) # first option fig1, ax = plt.subplots(1, 1, figsize=figsize) ax.set_prop_cycle(cycles) @@ -131,6 +141,8 @@ def get_timing_figure( ax.set_xlabel(r"\rm \# of effective samples") for n_chains, t_per_obj_array in t_per_obj_dict.items(): + if n_chains == 5: + continue ax.plot(n_samples_array, t_per_obj_array, label=f"${n_chains}$") ax.legend( diff --git a/paper/timing.png b/paper/timing.png index caf9ebca21e634c4a9f989eaaebc60fa885bac0d..441afd2b89cea4e1780ae6478562956bb5b67a01 100644 GIT binary patch literal 121822 zcmd?RWmuJ6*EYHcX^>J0=@tY81f&~LBvnL80cjQu(nxnpN~@rhw1AYfN(mCuodQbt z9t)oL`Mz)e*vGMd>|gsj@V<4e#dXa&=A2`k;~eK$A!;g$gm_eV2n2#q>8_jx0)erF z`h$Z7uRO>Zn1la`ILbe9)U+{iba`(70`cIvqpg*Vqm{WKz4Hru2Xh-FKld$OZecEZ zGe<{T2N50~>;Ha&+s59Mr%A`D8}5Q@dso{5fw=q}^#?6aGS?h|hCnFENk4q~W^LT% ziO$f8vw+= z=nRZ}@90KiWeVHPyi|H=!_1K2-*$2$9dMHg*B?!9>covUeeg|Ik34pEkN9FbQ*buB zZ}7zxdoN)P@t?m3HgfXv)1I7awKz`R`3J|9^f{_E;JOVY(W-zibc@0}~U5FFmv9^>f>0za^0; z>FVlA;(d;8%xC^Xk6)TjnutckzcY@FO_bomzMaDj-jb{jQsUQm5xmlL>U?~B2uGsE zA3uIDE6SeRJzk793OkNXb^Tl1TOZs*98&$k^yK8u|EwBL^uTPx&nIT87i%Q&_16E# zYb;-iL7yFSlN^tM7>Ax5k42OmH4!RCV?N6Gdn}mJcb(Z!LSc8X$ZKkniP2vE{rh*) z8`QQ^{|fKJ^mr`>*gNL`83*QaOPMzXTt+PV)Z z>bK6wS|(qJUtK364ZXmX6T%@b!5RuR#9KMa>ce<_tWSf_{q!5lX~!g5Jp!c zar_zvc7)v&8yoxlue9F1kNNpAadCcMzK9JB4Y}0inv_viR8+9DvoF<*{2U$zTgNfN zz@G7D!ep`hU=q|SxemSh?wOPk3ZHekVWo2Va1iX=+>!gKhE=1}_SIAN)z32f>2%TVQs?M5awo#rTNn06y2KNmNFryQvrliEu;6~Z8qNl~XU=^y7>94RhtZrbQ1JbZk4ME3W2s_4_BZ^)`JEI(;3E-qzf z_Bss%10M9?qx!*tfnbFkbxit%gajf($DeWGc8m7aa)=YY_iu$InkD-u!V5z~@ko5k z_>!?0N?-M#+mH2EL#n{`_74Ah@-3!r@U4B(8hUyWzP{)b5emb9oGAzbKkqzXCA)Fs z224rxF3G+7PENP46DhX*wB^wGY|C)({{7kdV%9j^`-$8%EqO~1Mbe5U4`XNce|-Cf zjxaVg-FqS=_PFrzYIM318{_i1r{6~*|A>>%BMbeNR%#uz{P6#(iSxc}0FBKJmthq-U zsh0`O(w9!hm4=XD(pE|cDO99i?>~1Ep$QEOI~u?ytI3+)9^W&J<` zEWO|13QPo8vO^?p;xr*HtoaCfFJHeP80O!6;GcFrZNdy|6F#wWm-lHYmUOwTO@T|VhWv5< z71p>9s*?O+t-f$1o)kWwo11&q8Os6(!l%>tp74Rvb{!W7hqRs^%@|VXIuW*({URUWKOvLv{*sxk|ftYy@7uec4SH!6k;B zcKFRoFbv@)Mt7wAIw2wS_U+pwlljHP*PKN3q84+nUAxvU-cwcVsl$~(TdbGc9|8xg z{0SFHu>l;fr(9RnbNhEFQv1x-2EFa<>;}pfZeG3r!y*6v{rmC=Lr+i7AC@ah4<06_?=}C{EaBj=)8T1NE-J- z&(ii#$><+Ld3pINx7OCyY?WLx)a_T-x<22ZtGm+LozVcUyvxL4;Ph)ll&PDutLkhS z&xWEm&Y5yf9a}D5)XvPzjMqtBadGj+Atf~dR^Pn6(@8hJb6OFUuhdlvWig-!--HZYT0wU7f68BOv$qJ+@wrfAX#~w)CrN@X&g$~ zoP7GFxmf$@Q>vZYE32!u-;7u!#7}hP)yd)av?NRXCu{r3ia))aE#ld*-v8~!KiDH6 zeK|}>LcU~gLs1pi$tIw<=NWHsKtKSA0c)I+096F)zHVhx4^2ggA{27WcqwWkN?^s2 zMke%UUONvb672>@hgeo_vMvcQE7>8iJSF}%YVrhUco+px;046e5E1gSE)8hqc4uB5 zz^>l3dQl*UBlY8Q^7L-WjA(zo>Yuai%hT{Y@l$2PR+FkxcV*&c$s^mfY057zLzK+T z%^R4PazDbB;kENwPQLNoz6LmOgq;;FB>sz>m3?ekE-u7;SX0Z z8ru3GwaEV!{DY_0uHf;S+n4b_&7%230|N+QR|Qvfb@d+)#^9Lz-sr)gj!=kCNI?0B zot+)Mo|%OBc*p!vgN+w9&LBt=K-FU}MMz-;p1o3IF zFE{o&A&JtXeGJ;(Bh0#wAMxO@19S+`FW%U7I;8wyo1gIXQVIJon(>z_k28bHDlcgXCm?KwP_~S; zIkk&j?%ULwW1=;kS|Y{ts;};w>;hzf&6pWuDbiH1A=;;Q1*W8=(3y`GHy!h?Y&*tzYJ(VO-&6^HbPK4KCzgj;yL~(|1pE8 zsHjPurVAIgh<7EHUzTN}4czzJw|fYw=g*&KxC|5(6|L_e|A0#bcaZn-qi>f<*k|=V z1IdkalTd8Sq0Rd6rur{c(}Eh}H@LL<_dI`PH0=59JPlb{og`)qjldOQ(OXz6i*Xw9 z5T49$uCG|--Aa_a>wH&^S(=4~g`I<=>2PP&UF^oql!L9sW|OkklTSK&dgD$7kF>S5 zTdd-LS%~LQW}dFNpB^9ReSgHs$!XM`v@Z%F0Tx7vLk<;I9r3-3A5*8vi&edJ29K%1%3>y}w^4cB0TIRiD^N zEHPA5B_wuuI1zY67yPc5sqa~2vvIg9>zo{hAFhbf*UzcSYEjgLlQFZx|E>#>Fk~-% zo9oP_B8=DfK9ntjIau$%TqqMt9Sqo+uOr;!na^ldyOlJ{n`~6i zGaDW}W8|w6ORxEX_r-_?qLCJPRZ;F%k}_*jm&xaGB$w`I-mJ>M5>gP55KEPIV;@w` zcvo$O-Ck4dX-$H?Ayfw^$rJWGW;-my0rZ3DbAHJ9cw=*O4hX4(g*w-&2;)l92^WNw7m_yqXJaX~ z#cy!E%2aFI@e&uyK&m=NVKL%W{wHd+a~hzrqv|M)1sW`}O0xw3g$ zIESTDFtxC~o#NxikC0!Km~^ECZ|t@A)JihP9v3{VxM8Bbzj)med+*fCrg@e_Kec`h zjUcbhVFSyrVng_|pgv(v4q!Dt;y-IunWNn6H57OwCgu_(i{*qt2=3*_A zkeV8not>RWM^yNj6P3$UjXp1VQe)zty_4I&{K?|iMEgre1rpYKhe49CBBWA^Lzdh@slq{vnNYE zFWroI+oqq@4@w;qD$P-aD3D5%%ikK2?w#6vDF!*HnT3UniHS*RbI8ZP<4-+4PjPo> zYJRfq8C6@U=p+g`j2T*$mzBk^x3|yiGeZSYGQeu9gN3Vy^muQ^*1j3@WxajNJmWXL ztY{xlJ&uGm!2_SLwb-+9@A%)=R&9d1791Qa!RBYYjx^NqiHX-rbRXvSGjMX^o0L^s zUajWwT%4bGy6>UOtySf}y?wcLdZ=pj&n=^{gkh2EL=PW6goID-_{-N?nT)4Bs4Zej ztFP~F;a!6C-)26({^x_DY=8lqSbxIn*S{(_^tdo~^nY6kl3%&fwCw1dPo~lW-V23& zNr}=_f>`b+IHtOC1Eht;WDnIFqAJ>Ou8m1erQS-OnFz1_G*MrbTZKEhd5eNTPthzO zaby+J&LPOkaMSuG`fvNUn|gnttGiNIta()SgsVp;R4?1Qkhq#d<81d@j)rLx&xEkG13 zz12h|3oEtL@tF=GqDrCkI7x0ci!qk&U8=GK0kPLn!~x{_Q;UX%g z*?0vucKS=&{(5(0CT!DQjt}S$kZXFbJSt)pSoNNSBrklG1I;J@ zypf;W8e(&uqq>-fr80by{3*@PEgm$)XMOK_orAYFV*~+$7=^XFQ~T5#MD~ssJdOUl&zX>RhvSHy)?u7U2s zpjPc`)!IE3Dc0tYl)c_B)-I%|!J-WO5}v+{DeZIm8|=HDl1Ti|MJ_&fLAh<1`WiZ7 z_c);Jg0mD515QGz0 z#Jy*9a;BvZwYBjm(K(2Z9c5sDZR@#-J64gw!XR^T%U4ZsOE!_gpY0qXcXuP6u%donWqJMEK5n6}2kJU+wy`$1>J&&vnAhYQ6P z+tbRHj!x@oy{b(A=e8>@p~l!!qO|K1p)A8%@xtw-KBo-}X*cC1<{eCTBaX%p3MD-k0%@ z&)eN~wi~UqHgtD)FO{X-h4^nKm@1#s$Bs^HX<-pdLmEL090{Wj(g2lw3OiQoWVuWmKKtr%K8jZ5`HQrEC?t4b)0~=VD1@<2O&m4rW1J|ek znMD;Jz--_)08kAK$RXRrp3J(_d$FN>bnJn8=>~D{RLl%bcKXZ9Ygb&xDxZwm9o^2} z=siWw*FKhHtuIL8s5kneP7olY6dX<3M7iChWnj<)gL(+|R5vv-ge0C3(TA*3yvf7O zef0sWrlh>0H%VRaw`(#a9p!_F{hE?q9IlEAg>8P(^plDc%~pQ>4xHcw z9>Vtcln&!69R!E)%{KWGf5{dAAcPuna(z25z;c>=#xGtp{c&!dw%xAjdKO`Gs_MeFM`C#nrZU?{(-Zp|RsY`5d0<3$+8#%^^c^2`zamNw z4tDDVb{BA=VZwsrw5hidu6OkPIX_nQY%GiO2ca-Km`ywYA$(^-Xo>GjFq{sx1#vNMg8GI2#g&y^~6DE`}AYf1~P*Y^3fkuk*CoXN#TF1xV}z961IOL zd24YaA8QNG3;`rKe5Nq&PxG+bKUsG5L- z%C)pP^9(o8XVF5jZJJeR5nqj|_7QHO_z!P==4UO1LkR%=7T zL0_IB>K~{wi-t;P>F+y9Wv%UbVH<(r_tKWOp6^v5?>SRoAP*%of_Q`3Mu9s-M*!_c z_V=WTYVtU3i8ArC=Fbn^4HRl0Ni4*|rzZZWuj26CaWtsDgqU)3!e~*O<6k|*UzGAT zr-kt8etNip76pr*&B?_jhf38pRw0SMdNn&Qj~y2_ZF|W*rU)Q_fx6=YmTP_^-s6pQ z?prc}4{B-NBqCNe&01$y$@@*@3v=u2NvQHO{LhxajeGfou>QV z)t6$1ZkIRVWMKIy+?0)&FHPqp!l1gn5qB>{ckoV`7->fw?>1mibv-@8pys~Y?jQP> z-EQZ^rlpBD_7UE)mtXwx?=C&vaa8`v?eis7%fEG!(ZePhj>eYv%WwB7WN+aAZrLak zw(T!$$n_*;#xdtD=)Hz5jtKPYCag_x2@BS*v99MctRw( zdwA(?>McTmCC|<#Z+09^3t|7o%ag?QZG15qPwvah`@Q~y=F2U*)ULtT+byG9I7=S- ze+McDl!*P&w09q*9irUVUK%})U(L4rXCR$ql$3CRl+H=GJa|4DVJF#G`hFAHTSi2P z%$(E0q#egFq<`kaueI)?zg;{?)LA=>dB^sw5k9k*&*buQj2dTH7_-;!-Ma@=eySR^ zUsLbSE3TAH<@;YA1O$`beq!``HuWv4*a2J%$$WLuT-fV7d5Xxo6z0nYj4Ry3x zCN2XacxklBi7x9OSKO*=bPigI$1!*I`!;EXef?BjBx3M~p{m`O#ZBHfV^o%f+uKs2CPmNJx}`nuhvXsJ6b24t|=-wOjn9 zj>{T|VAoSeYwJJ3rEMxWYlv zi^r}(FwMl06RWbq@8kOb#jXvxaAy2Vd#AR<*H@E+rf4uGVB17WqVE6hequIwGmB)% z2BD--mE#GdzA`HrDrc_Hg9I0{!9(%KR3qmRNV60;D&e&5q@FiAg@Z^=IV_{|>H4yV zGR-z>`TpNR=EH0Xnbn5J409qxJCB59t-tVD)a{OoemYx}#GJFA1D~xHNlUF>KYOjA zef?3CwCI_K?xDf`fwEuboBvxBMIQ69LxD^E;X}-@R#K;-$JwV>C5-k4=Hp@hP`QJu zl>&-z76gm}{~V7z<>26WrIH)=J8(()BK9{e*a`!AMeM-(d)X2AcV``WzW)_5|C`nD zrbMbv2D!vtk}IIyhWCEJR_?`C1cN~_!l!$YYaA&A)Wbqg#^p>0wxK6310jcgkf*g8zUp6Iqw)r7 z)2?USsdk*5lhaQnSJv5CaLrj1z`;wS5Uhb`5fEpolz~^&>#=V)$W%jNxev>?# zE-u-#IcsC@fA@K_!ka*5Zh-7Uk1#M9sOj5nibACC@V?ziL_>Hu*)R@@za7|GkWLdN z%Wl9}AIjKxjNJcQMc*+m{M?i7!A{0y=&lZjhOe(A31P2DU%IyXcSPr0I)IutA>a&J=GsQ z3IOEvP)n=%kF!gi!pougCyN-7RV{{@BsN$i``B@}}ENx)59(-iuj71cqKzs+|9XUr$I(#4a1T?sTms9k?qX(12qK zhFDO8Y$pnr<2x~9H~As`Z1Jk&08-|gR{hlq{e^d0IVFcmm@3!(77HUT0;7xkt;o7# zRwA(jF_Y7oqh96f)D?6WIfn5Jfg2CpxH7Zat69aq<0hT)Zw~iipX@#o4r!3x>(`fnmRMU` zOLB4)8K1f&@HKBsREun1@(d@dav{&j*n-e;Xo3J?TmOmHkeysz!tL*sjyL@HO@o30 z$IE|T5hk5yhIz2ad%k^U{-9AnA>GnV1*C4Qgza2huB;#uk9a$0HqOOxu>XqgW$k-6 zM2Oa9^Z(=o^GOr))*aI#8q*uZaJ@CRr;{POKFSgqL4jhvn#|$)w+`W>`9K4(&XPg-syZrm~wGL z>9N+jD5%mweefAC1z`F9MX!R#obU>`O^9hw%m7d011A1l_Alr%UE6eX5Sd#ce9cct7usZrO3ayXF6Kem1yiTHWVzt+nB@BueDIr)TSA(IpXt^9a)h*&2j zljAet$1R@Fr#%~Duf!#fueSKm#d+z!8gN*Ui{J3}z>qjnx%1GdwB*?kE6{jYOdjY{ zJ8pfwy*_W=TsIR)F%CM{>oiM2+U6!kYgX}8XFr$>-gqn--) z$5j(EGNNGX7bPF|N6<;q&bCLX=BY-t_Zv*J1Z1j7y>_|cVbkCfS@S?G-5m{6d(WCY zUOOk+b;nTP*O&0NGqLfT(itz?35R!58!|n6q}O!Hi0()pFVO3uof9AGRLZVj$`fK1@*_fJ+Puli>ZXzIv5AR6Q0CZM<#VkXB?M}o zKYeo#QeijGv8Mp33LabjU|Azi%ls*Idymi2qnxDv_XD*bNi=`MU6bqwD9nnV`oDir z{Iz=8{O!cqGdaLJli_-oPYEY56hED1{7R}k?gp%W;gj;1lQVgAKNClZ?^3{S&irNJ z{_8y~rPSj33e=n-aLK|Wk=64F{E>>qLl_8PJqH$ll$DjCIkNt%d!(g>4FfC_8`COy zFr&ct>kDVE`WdT?;vU0i8#Z#yp3tW}tNHhPw+E@sMlEEIx~=afyQ*j<>lVtat0qo| z(VbB31`R&@Ruu*{1gurkbAtre#Eg-;oL5RLpr*eqat9kx_!z(NahU7Y!t>V9D=%jw zgdkX!I4=L>k5tO-Z+gbtGKR@5hM%68IJ7DO@(&p0kAEPODjK3$ms9s2o;YHfGXAif zc7GggUt)}+EZu%v*jT@>Iy>ucwQ0?3)%sfE6}z12ac>IjbPtB6y#IuV#5vM!DA{_A zO54C=flB%MZ~l8vUItXJKT|gr8Z^)XjdDMMD`da^ytc1BVA`Jug?%9Z^G@yn8LXvc z1n0$+d{2$|UuDzYfUzsdw>2NO~YZdXTvOa`a~xd-K8 zp`i#ws-X3XV6#5NN`Q4mBDs825ujwqD<}xxuLl6AuTKja81*Mlh8L59@YIW>dPngX z$o(fv-VOaRrW9fCsUt>A9c@M=?L0JMqu(mMgz#x2R0U+I@rC@Ox?B03-PvA#9=5Au z7pFopc8-7Pq!2(joQobx@hGHVD&#K_+1ZS!bR2*fWaLoa%*tX|`R5YXN$zAKUQk|+ zl5aq8*E?Bu6tVhUZr&p1&aL&)$F92Zl{F5{Fq)kLEvD;6;JZU~vf~Wz;HmmFoa?_a zTK&z{;Z!+Ni)|nk^8YZsq;{5#gbGAXUrhmfDI$?)_S^Y(l8=yU0 z>4BYG#2UA#?mNgxSsnHf!nutMvX8}7^W;0+iS0O_`4$%{5M|YWn&ThDc0}fAR70nGl-W$y7k4^0@Hn zrA&v}N44XTzP`SnIXe%32C`rMaE=u3qQDR*XIS;nFSYB7o+sfPoyT{tGr*~hrIGmw zhcyJz^8WpM5FtJIo@*2Kr?~jasGvAUpl_3Y6~0JR$b*KXnBnb?%dL$up0`$A&p9Kn zh|jZ?t=TS7bvg${zoJ5TI88!Rd$@`Hyu34tUbziUOmHJdD<4?d*r+fzwYz1ICIpUH1%97ju?q~& zD~5xp_V_VYro&mn1ggf1O7E}G0LX$xxwYr5R8H9U;jI|t(&qF5?VeoM7fGYnL@{$M z&CHheB(#cjIY4Nz?cN|8LB2tp_OW{6MrA|&V=K=s%3I`kJ2iS!Eze7qV;~u$lO!)o zcQNooS@V`@pNr%d1rP08nqvY+uPD}*milk20cSub2D}?+;()#o@C`6EpXs{y`;RjS z+^Ss8Qn^CY_&HePmcvJhTbbUWXfljWPym^f-B}qvHl-rhS+S(zn zIkk2z8wSn>`2W%4@pX6c;X{ED2nl@ejtfv8L1a*r< zd2Plyb<+qUvA-UMO=KV-g-iy~;z7g*B1brq$f~38-^6Jj&XZmNHNZPQ!$$a1!ijjD zEK3m)5hp*R+GnMKE?%!*q%F{|qw0VEU^UUpe2Sgl5oe_x1A)GK6Sv}#L3v);c;rnS zk*KzUM7@{S=sS8fjtpK>GYSzteEW{kMSfAip;k*gR83J)<`yxDx*wKOHZ(5 z2?_GRuV2qWY%o?`hn>yND8Ls;YmAQNv9{APZA%XYJQLS_4BeLtxy9CjOzPyX8gZ&) z3e+N!U{0Q~?4dZ773ZXl>I2HnzrZ|1fW(t_)$YxGKW4J+loYCgftHC)&Z~dp$!38~ z2G%Kq)bk$gYcGPQ9bPWm9VR_@2Rg;=NWixc2>{Xs~x{S^4D|UQw}m{DK%)<$G!EY z;Naj%-Xn}HIuqb)gPPIeI{iV_2s1_LSs-{&x3&_KzEX7&jiYJHOyU>E|2MZF29*H2 zM4dp%#yyXTbL0$91-}c;IL*P?40@5otRxp%)pcEwyid zO!F8c@5oJ$09J4F7gFY4)6cw}hqJ8oTXOd zYIOFvHS{>cb?z>}W-@C;r1%VObFn{tvox%Y-x@HqQ&V`DEpIkjOLNL25qS6&y@M}@ zC!@1|p6KPoxPN7#AfUhNA51fb9BEqMFVec9x}= zgy6_?0=(Du&))MIjdKh^eFYdv0NQK26EdoP-I}{)V<1> zyXh&ut?R0>G;Ka{x$g;{OafgrDKz!|6nDG7$#L`)yn6s^SFa()YrbvD9Di&!}R4Kw9Di^ zl3rk@b(9&1Nfi>|J0?f}iyAuB0FU|a-#`D~ws6P*)j7z9HnUbTQ^{dOA@NP=RgJZ_v z*tbAa0EYuaeV!s{qgMT%2uxEZXll7_zx%HnJ87D>h1`kd&6NH5;~lekf4xn{`Pfe{ z|VcQp)x#-;K4ukD35bt(&1-Jf4y z{K?Bqx()w&_C4Vyh$=dX0 z-9SUwe*O2dN_#uRpcdDh|9#f%XEG?aiv10vzlR>ziJAEQO4%2XSb=uAWg?k%`AJQ= zLq_zIC>@XjJ0JNBCJM@#TAY)cJ3)Y|i;VJB&+tHw0vZ{lqK*St<}KOwzkl`}^Y);R zV*r7PTOIA*gu6{?bGG!`bUu7(ryH0hJY`E~?pIH~i(u-t8x8gY(<5E@s;30MaEDGI zzLOm9$MLVrXo$$k6AYS&k~mt%4^L_wIRFP_C;Tr!?sxr)x(kT7p^O63kg%uv7jy|f zQr7YP1qaH9a>mAF+pS^OazM-nT!BY&mx-=z)1@~L=opOc?-*-#|2b|i5yx>IbsK*y z;dO&N&;drrE`MH3ci*gPH~~=v(M{-gd0KcC zq-h;LekeN&*ImWK>O1Wg=@9+R5cysH+nap1alx04l20?-Fo`kWdK$6JY4`OE5>*Q1 zOb1QMTNYyKk_Rfqot`=Ys$0%_1RuB77iEKq;Cm7oBU>0jZsHOI9G{hp5w17c&5R z=D7wPpvQqpr~{ys*%2-|eZzm)E3<^VkIuy^F>ss%1F_~77P4WbBu|!Aa|TPE7C!m% z@)qEi_bO>39VA408rOa5ej(4uzpje}`x2~h+W0A_{amfI<|&YGJiSA1N*Uv(x3=|z z8i=8Y)zeG!Nq>`e?_R+SD9u+Um-n#UNwcjph~oI3Fmv2+GD)e|a~CuSsNCXk)b?I4 zOI1rG#}wJZA?9$Fz7J?OsBmZdA_NblaP!az`ExKlCM%vl=i3DV^h zSEC!!`=nhy=9sqp567bjajk#31^69zy+j3~is#OYTyE?*lSMTxzXJiqdWBB?l?8I} znl3)n|3DUE+i>bp^{?!7qaEQR+fz@_lRHWl`U+)+V0KzSh#_L6#Y3yuyri*I$+|?! zBDGs|K`u-K)2mK82TQnWKi-6;oAg}@ARUoU>-ivRP)a}i^SXLbnhQ}I&jB9dSv${J z^xgf7RM$?4Te|1lw-qP7G!-G+SJBMo_KWmy)y{0L)=6Yl0^GqMCLTVa^i|wzFG#fO ze5CduJy1=D^9@hY#$yQ(kNVIj&JJ_hd_C|o1cZsYS{bV`^`KVuq4vf11PM7=4W>9w zA0<<#)7f5be{`BUBq!Z%+Hcyf2*ieaaZ3SPhcSiID2Q=Ttl6Y1W44&52@wi9AsQny z&LpxP(OnF*9n7h%|VB{XA~cA zm9p$GE&d6k^cl8?=xU68cWWIoAE4&3fk*gM78WK|rL?)QkVRd5S&!`RF^_WO2lo3G;9|}fpMJVd*ij0%TMzb^dlo{x;E?f@W}6!(c|=8iwm#$qhmI% z5w>u7BJea&#?0Qt@%0CV7YtS96rx_cqHFuDbiC^cthLl2%5{|DA`tf z##4NhC@EvRA~o7>T^VzXc9_#`?ig)Ao!)sR&2yi%PeRS?Z`)jE-L0q>9X^yC-T!rkz@$Bz(>z`iY%9@{gV(Vo8oaGdr_wi3OS0eqn@vz9nrUzK?FWM!<8@+~yP*FG%FQ5}fM zYV4UP6e-o-{x~?7Wg_?I&C?s?Ic@Y)VrYAoJ&LPr2gkkMe=hldmub70QJ zuvL=H&rIK(wtCwAM~krKNJcljh5zGcvtz7>nU@~t-yUI5BkeTi>#$!yApB?DNvtf_ zophvGgARWdL&x+AgxOzYWyrR7TC!>UG+DcX!e?9HB*5D$635?r^Qk^+_VxzL%PZ%0 z6o^$?PpSY80C;x}WSSzKXZh%!oO;VlYgktQa&~%#zJ`WxwZr1BRuZ%HM~>t7dxjxUozOd(%`O9!Ea+@O zKE|rK_V&9)g$%hoBCQ8A=+VQ6ym#o(ps#fWTpeNrh3E=(EbL}Ryq|xK^1iAradJ98e72AEQerd`_@7`U zgW6?fo(r;10U=FbT29&zMFh}vLvJTaw=6ygvBbCOS>y4+R&BkOmR1nF2X#0ky(|qM zbku@Bgfi#YIUo)ZLE^ z0qvzjlcQ^E|G_(%pFY|0etrAA#iR_SKL+a5q)a-uAN0zYAofvTMd_0NpY?m!%jD!R zw@=QSBRjh?F{D7)hGJ@3 z-9eLI$kVUVGH@10CmcnESM(sN%%o_tx`{dSjxQD@pp1*0J=6E=ynM`U_^Yja!yCiB zt0x;Ap|IDU%a8q$z3%&R)O=R zSc*1J0^vD20-7g_Hna;Lg9Tic2u1hJBsL4-Ey^{j?@NGE0X!Z z*2>QA7SPya_qw4Jk>lkJofhEPhs#V=LBpnzo5D-e^zbHT@TTX%a~bRToHkk4^#BB7 zQj~{r0zFP$-oP*OadYkJ{c?}%u7Ne69UZxRN{)EuZFchub`&d|F;6gd08|taOHQ#G z4P+Y!8pVie3Y;%T1NeYx@TqWMA;I>p6k= zgnlGcv)==L)obb2JRBS$PwS04NxKy^iow1~--jd4RUhYdOvS2yo5COnw>v@;HVFwf z+mF@tMU@QP*Q?p4ou@~#&8~9mc8D%Bg+*s>@ivpcKgq*8&Z}Mm+%p z5N)B=KpBt>qqJdrmOOItxV}CPwDoid+o{gQ-iK$dGIqp-37dqTyQ9J}XcE+h^O>ljsQ0#A2aUac1kfG+8NsKEXmXR$j@UE!w8P zm$1pIU*aE^X?Em6oOXkg6WXptR|s6aXOci+G<^@MDpHh7m+_g!@lKuuAO1!7GDRoHsq&Ws5c+u&vh#W9k`V zhOL9qGi}?VhexO4zwZ+7rlF~cQ9DlSq$xBtM-lpn$dMJ*_+n=|atCGh&tUd-=tz5O z(5)M(yi&&Fi-Y#h`LYPnnsQ#D{Voe}c@BN$?VOy`uB08zWCEl5iGwE!{i(&xwe7S3 z^<2dW_MB)(Dm`DY_|``vJ=K`i$@@qsC=E3BN1^L(wp$^PEGy=d?i0}dWleSLQ)QN1 zvmCjDKq)B91QZI5DxRuqYvUsHdNNSmxt?+nMhPIM=j@~@OMp)Eu2dnTCf`dZgNyGU zq@p^+ZBF`n8G3&B3cK<7&mIw%d;9jjO^)t#b1}FV&6!!fCQ{z;PuRmLHS3Khhp{=O z`s({PPTYLl^`u>NUm|8zQ*JGrULk2OnlE}1cyd;tkZL3eRd=PiiM>Bw)%DZg=rC_^ zm1LaIseB8aQ)4;cv9pOwYHMqIMJR{YLagF(hc7`sD&;mE@tohT+w`0}gq!hiUvb?b zfgaieMHAOm{B1XJC^9gajQ_{FV+1vzw}R%OA&LBt9}Q{yWtubG23v_QQO?m=Z{Cr( zpI2zOpxe==f_6-^>ACrItR@H9K<%p$vTL1@Rk7~Z;q|lMcJSp7w9AId3_w4DhcP zXJw&*U=Fl#3?^i6{1+ z%`qAiC^;cJi)}LWSZndej*N_8&?%SVmYy?+6kpu8FQkI%ahvILi;FomHB`|5Z23Oz zKkMI>2@(UYC!Y|glEcr*Z27Qfe962n>tkNaQGu*GBiCf&Iq32Cr^a6o|CI<;s)oQw z7|i&^rh&K$IT&%DerS1G(v4zWNI#UF%$V=Z*4;aZXOk&TAW+vbymreM#~1P1&=?q3 zcDd4R$H#6jZK7ZH91~shrI(8CRBRifkAQTV5h`OX;zMHTo1aCU`i1}N9Wc@sQ`aZz zsITeTqNSv!9t{LRNy5uZ;zF)*ct?iH!uSTE|9NINMT9B(1-D{I*9(I_j_I?D=rQ4_ zVS~!O8wxj1CQB@-(`6cGBiVcEXVAmzJ|GNvgRLc9)kvxRNhsla1gISYO>fLvpURUz z0PQE}GMUnEO6ozk_t&Eq+aIJPeYPx}nB&iQpUt*K#FC?frP`QFYtHQMlhn<;l~d} z0m6$<>OJnjXVf(`&=bE0w9~p1OdfQ*#Cmctlkf$QmVQ`tIz7uF!h9-@TcKs}1R)(4 z7`?>~5RJGjoj&fl5^kj@QCeymN+#NBdxY(5DF}if}p+`;|Uk4 zb_a#)iv}L(;fVo>1ndx0N5i~51E}z!{Q0EPO1qTj6|=&Nq=@JnS7d<5NGyq4GsApv zV<1r%1F?CscRP5ZGRaBPG%acyp9iCbI8yx7tm@rb^$QlzX@%{IW22(&bTxx73a08-GSvAhew+aDZO@W|$-{m$l{<=oxZU_p@h z=hZeioNs03U|FlgkMG~JLSYNoYM=sKZn~#RdP|f)wJvRr6M!uP0t|TH*u;cY^bP8J zc>ZkI_!Rt#c%~qz!E>@lfco%zHYTGNjQ?L*IUew`|O9ynb43 z{A2|(lJ+3{b>FQzk#L@xt8KYwwycS_ng16`PSNzbI?w=0P=JqUjuMm9r#g4My%xJZ zpt>E)Qh`l`rbGaT9o^l5<48qN24+OIWyf#`301AWSK|VKlyhy}=pJ-MLO1|T{7}+O zAUNERZWJgOhUR$|&e3{o*1@tg-~yCjC#fxMV8iYs9E9!Zqh95^R@l>nXJUa+UHUK7 z=NXu8PS3c?WP8kBimV~bN$}#&{$l<;@#V%>9UnEEYuXu7yRWaYdfk%6x%gh16&q-Z zPdp}d$$pgyuv%S`7C}7rC`j#%-bhZL?!hCebK(m9$fdo2P4mO81xpqLV(9ysbbCz4 zyS3ldWxOx67flomj+caRE}`SLUgXWq*kq1WB?F84=p^WK6Ib`CBvkVXJqBK~_cTx- zraX^agALhD#>)?`F*#L|7&b=Ds)`L39v5JH;k-y7>dM$?ssFe{O?#2uZ?jB)J^Fj!VQ0Hpi6^;w(YL`_ z)D02C2lNArSR@`hiPf zp6S&VGsa8B{})wX85L#MhC6gf2}q|PU?3t$%8(KY0v1XOD2Q}-w^D+1V_;CyAPgm7 z5lVM=cg~!9#`imC9hb{ru9;_^z4u*L>{>EVaj1zXydR-R`eJqds(B_Q>Jyo?&p|6h zIb1&(LIi#YIp6P{r+Jq~fS{pTQOL?am%V#o>P*anilWu?khLc9$==`92UKm&9{bU3 z0Y|T~(mVYqNA$V~qQ36hQm5I`*=z~ihgr;nsDUTL^6+|4yk(mL-hR1nl9rx)f#2ar z(8IB3evQo9viMcK*)96AZVH&FEpwUvs0}wI_uZL;q@rypIr@!*Jx)KSh!cHj+`FTc zRquS(9QXZ9jAqBuF@}FPyUF`&C_`+#F|Fo`Ja$B9AXKQtKu$p|(-n7uY54bXmg+1viao0U&r655r`qoSkt_P(>X7}e^UWbkkBZY zPkv78akoktcBH6lf|dQbotu5tkO;9}x5L)#C;QYuqut3uqYprmlc~ay#oI@t25l0y ze8-VCRv2H@Edi>3bC7DVjyZ{T*ftAtn&Lu`u6|S$U{cMiJ#4%|^QV+1m8I*k=S7G<7;C1zVG(F5XtguI6F~h?cW%}((-(sm z)?lnqj2q{6bv6;E&(nV?RVSr;3iA~2A)58FbKQpaE*#Tz4t{bZU)SpBD{NYxoPq(S zRTw*x&GWbm%Jo7+yx_}p8G=Jad&TCo5sHhn-Yqy5sX)TS_JD&b?>s;y&-)6#0n;lM z7=_FtPr0O}YnGn3ykv%QP6Y~$1R*A;%TdKSh9B$znoG#o#?YR@wz?{Q!Z9Axh8PWqGJVATZ)>quax{NO91~XK3b` znVAU~rnDwE+RH^Q0qjIAAIJPvq@9Z_nRS`xQQjf%$ON znk{~s$>U;)jb+&hugB~#7&9JJydU#S)Zht}L3=_50q+hwgh96}ytfg0=%sOoE8;8* z3rp6W4_BW3dGkMFW^ozvbByp;V$&Yw&EvOF#G@N zQmvT}3Gx|Gv=+2Dn6t$*k`_I6Dm%sT(Q-9XX!p33$)Bz@3uRBHJm%x7R8_Mp^3`{N zR*v4j>m7fr_ctQ%y36N*q9Eb1EzlClN>Xc>xon3G3>Ku%!S$@p`v{)vipz3;&>)Bc zUzr7r!q5mereJ^`ef{Mjz=jGyb^-q%fRP3@Pg7|?&bY%M;e)^%Vx_?&oiiZ&-Mm0n zwzfZQ;5K$lopoFOuwoVFpu0Dt5)P^D=O>Kt93dw(O|_GDG4xNz~&n@kb* z#6B774fY(eBr9nvU13skbQFO(Rk!6e zKFy5b9f>ElYPct^^Ez+<{LFOptNY2HOrVwlJ7|4AcSL-WMGZ`I-WHrp>2Oz4@#Lw6 z&i>Kk))9cgC`EAR;r1Ff(*JPWjCJ^(ZokCoHH}x=>+J_4{nj@|_mp`*vELRSMeeaU zrP)n<9zzrUz4hV+--5hR9c$VL7{Ye{oKXJvcSv&L}T@ zUi|5aun~&H6Gq^5-WRX0Jq_5Swi)#bw-qbum%=P?P=GcOAS2Visu ze-*N6@cj{SphyRm_BEIVzr7>5{J{9;Re8>^xjP4+FYer!D}FBGA1KYm)*n*eU6S4T zW~aK=^)(+@p1GdTE4-}n{Ly6^>-{rbV&j*r-Q+@pMWHn*1huOYNxxJIbKq7WI{RXmek>AYi9#r!e+F3q;+L~{uyOaSuk9A-ubTmOR+ zBQzu2xBZ{jB&Fah^-f0zhjpM??&$flido44V+OUO!t+A?Lx7jZ+#i>NaPRdDiL{4D z@uGP`C_JEmtu2vWt1<08Lx1z-!R{U&LL=2s@o2Y$=f~ft>P_1iS0RM)kfu&{6LXCa z_RXDT(FHzmVq&5xmSsB~t1`afb~p@_uLg*Q0MCXTt)WnyJa1x^C3o1uKIp<++@GCO zL4Do*8LXZh(uZYyuiksrAeU@>&AIPj-y5GnlHLd+u9pmnQ$Ub3b_z^Ss-;nh*Q> zb7EB^4q~V2wu=DJ1_cV>;Gh?QH&8jUTHpZR5AOr05m@5ciHG`-9rrgpiS8h;mG#;Z z4g~=OreELeSM7!D-JC*pL5wa@aSy@HTO)tS*u_f`XQ}R^@nMP{>(E=3wEZHKtL--O z^`xuk`tE^||5}?pOmAI<0XUssdV;G>A|>wpiVjf^xNUwrg1}B-(atNPvjB^oe>pCc z%jZnh^2F?Vl%fuKxpdB+q+aCy`?R&dbCL-glyf>>2#=wWPVbh^{-D-D5f81%24vlv z+&pBA5x%%9xrAGJr&r+Mr)EQ|!u#Y$+7`FvRjx4ZeU!Ralf<`2%5D4|hyb5b+b>+B zGFNBvgqg~=QxSf2nizIGb5o^*O1;8{q(Xh7uC>;=J@na$hq!7_RVqX&V0FW-$Yn+M zl2IKS(36scO^Knmt*LwZE6E@Hlwj6jdayb3u*PMDc?Er&KANj7>-ySNgx}W#!ofXj z&7xXFi0LV6L@Vd{vvudy$T353SHVyIa)B-tIs$Z*j&1|9kMZy(<}`-2^Y z;jg=7KneAWj?XT+=v3?W!au!=GWq#gl~)>_;ya!g;0;W$rKpM7cCI(W_CRFD>pKbc6Z4|;~Ij4=?e z6n*qKh$ULiee{OvBPYG#!`93L5`Ce9(6i6!-yzLHuJ4#BaFP?QkNr%@`G9tOdGe9W zJpr}tHi^?rbgA+I#TTf3V8{aGEAW0PvYTiWS%gs>IY1B~Urv&8US!^x0o|UqHXg#D zrVYlBSzt!j;SIi=SZfwUOnN#cjtz|u3aJe3&s|U=P&u>LES`3-l2_#my^fK}bIzr+ z*JYL)=O9;*3x$7I#18ykAsdC3&nuC9h{E(=vKe8|KhqKD03!Tmd@pD{Bj5 zrV3p;v?yHE&N;0BClA<{Gd~k^D=RC;x$JWBa6xKD*GxR-V1+S2&g zA)eVI(-;?>XTv33L&&iJ0+az6DLx-&@${Qt*ZFh2<_LTn3&xJmeC&Euxmlu<#d5~G zj0}4syHxqHZ!@(yJg2{KE{Qd=#ZVT-5ec;v(8+W7eqkNSfZvauPn|FTj#5-~oyuW)RV2%eJ|-1SMe<4pN!>lc&aAG5_IWjTeK`!M(W#_Ve% zKY_`-gFRAbC#85zAr#5NT)SMWJ%3&0T0@X2E=cA~$C?Ec^evt1F^5Qu6>dIw(3^iL zO`ktS{hvKkQuxWMbGHt?iPMQgOt#I8yLm|wo$Ke1M|*STZ2hQ6!eEPPX%`WMGnSXQH{bpx|=0&v{9+ zlzVOOT?^i6v5lP?+X#e{MTnOY9PFnMJdP&~tP1)HpTpx9vA|;SV`_|T^$CrUb@*`f z2z7{e=e=g|-nh1v(Sg=~eUG+->Q#9mA)!{FJFmC#MAuJkY*%qYO@`gLSQW;Yudl4K z8}J>$*HN+YXBRt_%CD(Ozc`Uig5nfE;t+>HcbdCpz)3omMk?SsI`ve_opXKo2pHdn zY3Us&uL+MmqyjY{JIQY2!EwpyC!5{$zr--ah$7n+sWi8xrXZ7ld!T{Qvu2+64;TYi z+Ve07>IQ+1kttG{iGmpZPR}ZHC<4!o=>1;+7-~L9r{BivirJ{ZA`fOvJ4Xdx6Fhy; zBv@Kn(%P&!Nts@@CFy+qwN-c0XMg=M8`4W6yU*&`GqpVAIb|9%(ApD8Aw9@`h=~s_ zXP)(bYN+51NEA-uZAyY|yWbe@?IbzRBw-{^8Fy~!_*NWm5AR;=i{OS zvNx>$M@T62!KamqN+44Lmk@pBM*I7jc8)+-Kz)5(F4HiTI7(lfxN(00 z#``fVVyA2K1WyMAuWX9+zxpiKelZ__W;6$vOyh?cCh(lsN2P zyD}s0`%>cF%JTh-cFScIU98N9#cK6C-^~=$?%}5->+aVwQ4iE)so?L3!At2p; zFLL&K4-Cd|CLHfIvj++LR2${5JypIrpE2 z@8)6}YC?6})hQ#AV_q)Q=j_!@#yvOF1*g#pBRQ3mRGL3!s+g9Wq>J%M&IC4$yPpN* z^S%Wx=M-`uB}nu9h_2nBvMe+rCdI$(KKE!|C}k+|C$_3N%ktoj8&$QLd8cL~pi02L z0)Ggbe`pOr;0m`!z|^$xX_x5=o2<{V+e=Q_y1qh^@s}BM??>t4F9@_((=-T;2LEv; zT_IUfO&68PM#4b%g`f9Dg;l!sx~;Q!$P-#Vf9hNio=yE}KMg9K;dP2Xb4K_(@o}kV zqaJw?@r^puQK66Ay$;h~SAN}fZ@Vk%U5EVlY)r3!4kYur2Xpapm{RacR2IsB_nj;e4ysT!oQq_pogl-P_CX&tUk>@VY(#Y1h7g$SUGGxc?k2QRRD)ga%|_GO*$>`- zJI|8h-vu_zy)MMSu68ps z%;Bx!P}wKXrc4f%shTn}L)>OQO<8(6E=$OO#WUPa6A&?I!A&o#Q41-qt+d$6%?&JW zEQZ>W@_N)ssfAuQAUWvXlEPq4OM69zuP}r6)X&1unC#I0ZqhNJ!R3Ey`_VFAcm~LX zU~FNF$q3sN?$Zzd?#hUl6Q+r(rS(tf4VwBF4*W$-Xq~_vVy+wrpTM}9b#Sa1p+dC% zTsn!>onR#{p8S}f|HJ`FAz(f&-~C3OfxHoQ!V`p#hIe{_5*86yFi3Yse?>}or-s^o z-BkxPCq8WM+mFNi+e-S)WlCw!-{s2!`AVJsftCp)P8+I3VA;$&zmX8P_olK^Vs&!| zM(&DmUIBdrhAmEd|KiZ98kEN0%^IaELV)Zm?!oY`Q%bVSzr-&2?> z@y=6HQj!VE${O6bK?K6#9KJ!Q{t$jJ<#0}Y3{oTom|W|m|9$iy!S@Cr^g!@EZ{8V7 z=HBZ@I^`gZ!T7JNSLJ3}b4JhpNacF-1f-yJ89?NflG#-{|%G0z<$a5}2 zC8hGJ{xk`GW*ymS=+r~K3PxL9TIp1B_L+Pvc27JaO_AVVrvm4*2s zXu#SQEQ#yw#>m3X&dOq#S`1yC8#i!;I^})nYIv)fM}VIMX0gDK&(@lMi4wCJPFlWo zHozneuPp_E=U22R;#BHEyQ)|+{(v+^G$@Kwp|y1*dMD1@Qn-9y1qSxdJF=~Z%(2F2 zv)pqkKt8alotwjsV%ey1hj51zmr)%1i^a5V#RCWpnIo|-tUc)P_#)Sj=@{42rkWF; zuxu@bl_wvVJ1{=Ic}7^|?Q( zf>QghD9JN|d0Qr+G_bfw`Ka|rGfLliE&hN2j1!S%b=|LAF)HXtEA2^;Nedeny~5Fw zrnB_T6{p;_3n3=mOoUOK-!^;;!v*4=cPDM__0UW^uzBo0VbjG}{`b1HF)>yF1u$0Z zPujQXD^^|C_GHNhSufF_5@^@LTv(4s%QINh6#%woV31c;Q<-mmypQyfvGI1dWN8t^ zkRh_3Z9V@7AN29`X! z83u7sEZ1Abx=}m^w7Z>2QqgNmc_Tsf6EgNo?=wV5s-N2u!+c?jgfNvS(>K!x<6tqD z8SOU|sJV9emfM01ZXMDk)%fSVY|=t5x+^nG|7|Bh2t-}WI%yk)_tKt3Ff-upC(w9w z_?PB{-F_*$dL>m$Bk5(*kp z3egNvG=-6&=;&qtUlj2cH^C`0c%=z*NCVV~d(u8}<7<_Bc2>)5yj>08JCkzb7T^}; zt~C9e7;P$z)kkf0JC_ml#lC1tv}tTds^+6|deed$mTW57a<7y3q#oX6-~I(C+(!e3 z2CT;JNPTJY%@1>Ui1=1E3)yO+2_zQ3fF2K_RBG!*Y@%}fMr!HZTUE&={h+}iyZyq~ z;L25iHD4GyX3bMJ&py~n@85VK%lp5*{yR*qGyS&t7e%g!o05*m=J=NwLFYon`Zff)$<=Z+Htt^A~(itav&zL#9JX$4hyK`q^q>8egF(XnyCz?HY;6927Aqr+O62%9B z|4S&%lt+Z#TeH7m?hfARw_OC3w8^eY-YY3w)L$H(RbFbZZceQJbWQbHL3NPr$zEs{9yW;@F8k z(D1NIx4Jsy0Qc!{=lUZ3y*4Egh?&#UgV8IRmDJzjleOAw*$|y|8;`EuN;l8UqXU|2&tih{y^R)q4t8P|l;y4LbG`364_60p8UGp?3xxB!AI;HH%+K*c zKs$5Ot*3RsHM=JGAFyZ1`8@uyQFv^WMLcc;7`F2eAzn-Ke&vXI#4j=2Uf$n}{zNeq{p9 z5Kt`h3fIyM(!^~!AQ8hwCdKgmm-Nahbo0ygjv`sb`M51}n$LGsBXXq9d@)A&r|)>{ zE*4Z5AvQPe;$22?LTMWwasA zX_5tjB^BC^4wn&lf=m!9YVbM$J3}ZcfCW|Txo7kFVKKg>q@=+LTq0xAt#ooLLk90l z!P`}rQucv3JI<>k0?>y;=JCYbCyZtf(=)pE_^Pt+3OKBUJ7W}%R-qrBvaNl$HGfUJ zIl;ETZ_Vxa?G|o)7tf@2ZvLW90hCpXgZ>7eda&*_z`_8yDXR)vdR>FATD!nSL3exZRK5fk{RxiAM zJ93;?IsB}@PsQ14K6ZX?_66=cPgL)a9WM5K!mj49!%soz|H0Nk>B*CGKvqmz?hGSN z=hBgroLg)+7#T|KET5X<$UL{!8_Fejw}?JGyg6=L1ioe>>kyhq~ zn*-cNy<~E(JMIo7-LHZi0OY-ta<61Nb=+_4P6s~q-4Qq|4^cic06=y2_lH3>_juvY z+y1Zaj$agcSVVs?D|2a(aMObnqrMOOh2KgaVZB}u<0Jc*6s!dyKdQ^J<|cU2fqU*o z>-Z1~21|>Z(pPpvh=4x7@!ddHIjc-?A_*5W1YUve?h3Fwpfh`ng_FqZRlaB zU|h4;ck!m;nO)e~ZgZrE@joHu!&?p804cGmAvifN&SnVaevTI}>Dz>-ciwLi7WCKEm*( zAaVxI$;K~{4&#lr5Kd1RmiJ}*b%Pj;v%y*=j-6H;74!C~g5(xH z!taMOQ$D2;uNOlV7is6Ex~b`|=e9C^rm4$~h4Lb%3<}oy6325rGz924;q&xKd(%x? zk?jgwz3lxiV}aoY^tc#}$MlZu@B>&U!QpK&3zhG-oxb~2zB4)yae9+rXk6yBZ?cEz zmu{ywkbn?)SU?Wtcx(7DK*4`wOehdq-qDdE`{QI^rTFK3FTV}*a}X2a9rYG8HJDFk zR{Xn7Z3M~%_WA325RCYwDRO+cNfqV_R>{vz`v@J^EYhs=`TR;Y`JtY7`5`I7qR^dz zJ6hylwV>m`iKstWbhIdl95%BlUAUu;@&&@;(xy??lTe=jPKolD)3HEI>v&5?$rvDY z=Eqh60+E-Znf2s7rHMd1oP-yJ!CuGr>gR4?;~K@cvG?3E7~1*5nllKy?Jkv0dr^m7 zpVh#?}NVJ)v8YPz~(VK!*>hW-)}!pZAiV11o|{n9CNq83aR z+m~(i{oQ{1=EiiRkE!F_@gtIegk~H3iZ0HkPnoSSQUH(MV zQONi*Hln(9{lWQr$6qzYsc>OanH&uEn*0Dk%5c1H8>L)sn`XkCTm{aO6WeeoG#8Fav;`c}GI*5R@1*Z+8M6g@g=haIbpjx94dMFk~ZGKmrqThjHpPj zilS=BG*XSC1v;v&knM&B=tCzZ)&WQSrRt#~Ww~CT`J2lFG<3=AKC&o1=q3i52v3B~n zgw@23{ZM81)wh0plwYzqE%xaRT_?X6W!>YMIkd$mKNH~Tnl&|*!Z9>&s~=GM^##}A ziNyBN7}vOc=CUTum72v0Tw|MUS~PNC8iem3H1%&V*N)v}A^{3L?%OGLoAYJHp%rr> zU|h#S{ku^C7(=K+o+4ZGvB%;me$%Fe4q;0?x&IK5Jc4A=U^ zkLzOjhW8vvEhz^9s-aurj26(8m1cD8EdaFv$AL7Jt=s?NL&zuY%q-i{ugrjKVYSBq z5YT9sJIvf%9w_0L^gn$r*#sux$SkF-&b!pHiGc$sJk1Luo5oIkGqyol#OzL(7Pi;2FpnT(`hJk zu>~i{P_*BF{mO>5^AfXNJ-BY3GoegFnD^9(C{Hwo#EVoC8Qd|Y{+07B`FU|KI<1d1 z*Na%|s14VOHCn#u$oU$~*;`|04p{rrA03A)nlaAbh)6{%a(uq;owiUrR>j@ImoxFS zjc*>r^PncheiI~7sPU_Nx-84EwI2*q+LE1EVhQh)$2&5}5oTFBW_z2<1hCfy9mSeQ z-iUa19+5Sb%d*ct=J_G+HJ>i?zMIOZ8n_I*GhAaR5`mW+zoC$7r8pu7Ie{2>w9jdA~w- zYoQbH*5pAiSvoUerZNHh@7mlrva2Pkl79*A~1TuF=YOX9SRUooykX2Ky7G--Yv;PoTEpfm&>mq1+U{%a!Rs zg^+VJ;Y?xA+*|N+!gka~9_)zv8g~Nx(7on-AyWJnudNy_R_M4U8yZ4=gJVGZrO$G0 z^CJd-r?Ly{Z;!0?e3Ci&FGBo)Z!?73_h3e8cy0lF&lx7HRp#B>9_3xIf1a z#TmnH#P)#L;<@LOjwvwMzf+~E(h?@KeRMyCS4HdKE3H78**Mgl$|fsQ+Aur4mGhs@JE~lGp7VWJ+Zb}wYdM^rI+g5qxF5{zV$T(!giPbO{On1{bGFc zk)%CSz9xo))Jg6&iUyG2`C^T~daU-{$1qRX=fqGjGwL&FqYtRj)NnTkdBjUm{mnWe z<`M_Gs2A82D8K=<14Rd7na`lvt8rax5v&*v0D)UrPXCVcQho)D9YiGgBjk}DwU(!y`i2P+5}OsF6GMG8+CJ?( zGi}wA_=G8X+P+J*>oqcDt^d}cn*z#K3s7tV<1vmsgja2Y>h!rpCi3ju-TPsyxuh4m zN!#00TBeh|r4l-idL8GBYAFSJRBKLDVxn0%F=c`BZ2Bjd&fNnBf!3Ez@kW@_o4?{v zHFZQwCO;fwe<=M(pYD(h^>#-F^r|o7iQVFkUsS_X?7(cuEKWJiT@W*Y}EeJiC3M z4AjSHkS2Qs4fA*I{+N>Cc+J<*)*O_HrVZdDS{Xt@>+|XCkFu@yhP1Lz2t-t9-(-DU z2S3~Yz5?cpEiKKiANW|#Pd}Qs!uyJkEn}{#zjO zI1?XH2yP%z0MkgUl|eO_zp8hhlR&8HHdAqWVZ5o<%Nh&6`z?Qd5hG@EGxKn>?ub^( zQXJ3W+#j1GylGSZR$puF<_TG3SVHt@@O8x(-%)6Sd#0K;qKp>SO(Z&FL>>G_TqncK zmDB0w*}v4+?ponWAS_X8nsyJ{J_9og;8hg?`o)c(3r-+}J|}H;_B-7@%e+}ZLPF;F z(Witgkb>!agKu71yj2)zGI)t=US;ToFSeFLKR<+E(==guqoh3G96BSE_iS&JKV#+a4zfl^deh+n~ge z*t-M$n0NS9-umt&Y5nYGQ9oWN1hqmiFfi=*OVdZL z(Y2bOLsYo`=Gh;YRct(Y^rZ1$j#BH1QSY3C8%*q2UwpfYh^3*_j0hLuPIVF^M5NFi zbuRZuXkFUt zWPaH90RpbL*%yL)?2!L$rZ*O#HsQ;g=`D z*FD+p6r8X?x2QR$*xE}CF(f(R#m3l00zy2v6ldIL6Gw$KNGz?yE2H|ufo z{W}Y>-4x#mWk3lEgITq_-!QKt;bY2qd^6^Ic8WQEJWJb&VcV{);!rUG9PVUK4nUkw zA=Yg^Dv$fswu&um3AN-&*AXBj&}$b;`;id>06)|w*$wT`5a9JE93#L*fBU=`E=_%4 zf|3Q;8buyEmTuQG3@gCchq)ePmi+Q@yC{t*LV=;waohgEIgKf>RFD&Pyi7x$bMnoX zYZ}>Q%6j5lAqNQxC_D@x3dm2fyeyp8Qb^>21@`<4QOtOocw4*K@ZHwdNBg$0RjC55#6X^|iae-O$-NJTp zxSb0te4}$BqmpBhYBol&bJmd-e+$mKK;-{yD@Jlc^}y?k^)ecJLFFt`#QA5*V}a!DV=w{N8EX?ZFNHyhLZ#f;TTEa}Lq|I5iNlGusL zcS3K70@&if{-PH9`E69^aK^$C9|BLU{$BbANqIU$&T0ww0WST;1 z2kV8|)k$CcY&h>(Taq(({D%dyJ)VfOUtwsDNp$wp4J;k$A-g!DQ$6ql)^(401T}0G#pAgBu{!6 zEe}+VW_0EXh?qYBC`EP9Y#-6Cf(yL`xlN##0@e6d&PvraxRhzP|1!7@XB)T)a)sEz zdFiV2^i;|$=_^p^eX@0Wy)ACg%P3 z^Sg{${*WEY>1b*23HF}F?4O1W96n!VG0U=gQPi+u&- zZOuuMqWJ3p>Qp_~>9TGIU+=`5nP9g-8mky(q{O~`%C+<9C*mzj1A&WM{*vdiO3Y7T zbm$(|VMJb&j;a7H8IbX=z~O!Z730@RV&ELEdmWy$avcrT;_~^o!Q#~w#ju1kaGYa@ ztWHB742d0!Ei8iu7yP}jJs|Q>0DL>`)@t|or1c}@-^QEjKL9@`Oz{J!eU)8pH^s=T z+x|ZuB7kn;rssEJl(W*Dox!Ti%_)O-zR#P0hHxLO@7Ou5my09S;{w7ja`@rUF1F?d z6%M()sp-g!drfA)d{>3rL@n8TSFF7@PB2SuVwp2myTn87`L1klPEb zC|JR+-W;s38n{|1f2T0A+18NgQ=2 z{;|8=mpl(t+>j{iGMRGi`4Zvc<-VA=Z<}fyS)-0uxB;-&sX{kO!jzN8kIQ&$(7FF) z2(|k!)aUq%!J`1%5*&>`^zHN&8b!nHsg%Y_PJD#&^`#rkG=y1IzoVyYY~dC?!tbrD zT;jj*5El9*T_$4@eigPyyJ_htREXoEA`@lXDc!>l|r_;|z-i!**y@Q7! z(JXBkYIwV<7-{0cVV29U=oc1G=Q(cg6%~WZ)%5-#gyM)ucJ$Yxf!>w9p@m1LTusJY ztRIj`rhY0a-&g)MnQ zYXIr{ej(4;6H|%r@ETW1+WxKQuSHr8Y~+2aV1Pn+e4!8P)e(y@4#vR@ zBZ6W^^ZX@Sfq+%){dm~HM}B5+`tn_xb<9A`+I(e1N%Yj1XNCB)o+oGYeiNxXz74rR zfTvJKNl5!gUscG@nv3ksIQ|>{e&Rb^ynY&FWMtzCLd1Gv-wbLWJ}}CEv*NjS)XIV< zB=(@pC4bH_sw3QKuf1K$GVn{ys2;Z+7|(+9s?nwyYXu?kZj*jq9h7aBX!PF3c)i`jTS z%%7=LnHyIjgqHFTd55>7iG2Wtu@G;QlJ)d5Afs(Jx-4fBI|Mwd9&zZ>y zUASNZ&=)}ScF<9Nu^tlpIvTzE-lNtKJ7((9G135kdVr|lvO42wsY{1~vVZ-*=h0F; z7cHgu%u>npC?w5<;@e$Bk<)UM(GD`(ro(UW>MXs<(eaL-!v07fskQq;(Vl=Zouur( zaKa>+QjOFHBM;Wt-SW|;+3kBzkw;t!!pu(AV@JDakhD-LRcRbW?-+ot85(mzVv8(Nm-8~iJ#hV|f(a%+? zx}>O7s^p-Y4ET>nZ&@5&>^gJCXxHr(zxp?eGU~kA@mWT)x=kU36{9!V-#5=fYxyU4 zwD$gTo*o_ZlSKI)XO0FoOf1)~dfPJEW;n8+wiO@HN$cqLMH7EBX41mI3X*awO@_64 z#m9)ubEW`6Xk}%^Yl?M@OHz{ApwAPd@7x2L@O!Efn#O8WBFQ!v5!WE7d2gz2l)uX?`W4e2-Y z3R1lHhW!~1E#6&U2vSq`-PFu`N_Uj$;lF2l9G=F-g?l1pC54VGPIYs0b5y%3r^e(4 zS=WR`O8aW{?c)Z4%QfMz^!vDV)Wi1Qh8`1+c@g7}DE)G2JczSr)KJzwlD(V1!~#3| z>=$#^q)QUBKCFrl(2v(n_1?R)SCZQ0B_r`JQ@MT5_NZC?0R6tNcxG`e;GOn%Q=#y) z0l}-ixCe+b*+`0}^&mbm4!M|?`1*CRaRdJBuVh7VNdSvQQy3r;*x16qzf!Kf0EOo+ z2dmDbN8bm_o+pc#Q#}FdqKMze3-o5v+Vu0A!OvDnUpgf=BLtqZ&OVz9YzPvbZtAaO zv^_yY8{NHU#b_AK?Rz~auvp}eOnzu>$JK(cwA58O;pF*&V`2?z^eWw2ruV_6+Yb*M z5f^-S%rC6gq5f|GxDr*(ygjl0m$NdO=SnJ1qdjTcqP0F0!hmNc=b{?QXO#cxkBh!1 zj4q>JDEy|-Zv0cTMj}~gGF+V4XNW$S&r6l(v;?X*bT^toj()%bhvByz!19i>znHa# z;7Z9!2qllfdE!^5Y$l|{uC6ZOOB2_--k#HglhEb=vE{O)hoC(3A4g#hPZk7&t;ob+ z`o1nJNq2%tu?fln@1_Hbhxx_2_Ybl|so?4Z$tlq<3|^dmQ5dA!(Ot}O^G*(@*Xvj3 zPT}p354jetZD6SKeE%KO?L>7&juyD0`QaC{@A8Ej=~A!Z`QU|W!t((?^Tg6~b-3yz z!<{pq{>Eedgurxv(uN{sZ%68>FX^Eu?PhjUG_R8{W7o&MA{Wu|LgDO`Uk~H{9*!g| zsy6z};Cn@*8S<+*#!#4mlTCMlkPdWLf>-Z>1(H*cI{%IJZ^b+p>GO<+qn_T4>0|ue zqiQQ3eZQ=Pqzdy%wtZdy?6db@z(vO}Z#Q8ff4B#v_NWep|){PrZfKc?p^y zLto{ks;7S~Dm`J7WxrNKN>o(V^XKjkUN*-X1hhA1CMXlUq+d$UU8a1|ne&Ge7t!y% z&<=l|`jYu2pz_~r%{bTg(chS;96Je0dwy9yTB-l)UQH>g++FVEU((4bed_)$$Bk zF76jPxR7@t)Rmip*ffLK{xB`i^qIcO0guKQDQ4&b%2Y(u-8OmcDp0;_%ct z;LbgQ+4FA&sKh@qGz>zFnsLdQ@XvpFg@Ge*=lD4ug!S<8p(W}uk{jGphX=gr-pF~D zBVSZn#vby}H7`Y7-E+I*O&T&%)tu4R=-9b>?;hpfTS zr7E7;y7=HT0{M|f_IdB6-a=WgBBtN;H?pq`g@2T*kZnY}U{qbzC}K>$7-zWPJ+xvv zD}U+t8K(zpN-va&yE6{@nIE=)rSKbnj^W-OT?$2dBumtm zHM=4+*dnP&Fxg^Mn3s_)Fo$ZH*<`#7L*wBolVx19e=CWP13mVhgY2(eNBaKg$je2$ zSD2|Y4_myq#|8U`TT4zS_QkORd1ZOavvaA%*1A$ASU+>w_hoQ+jwBJg&lu` zM1A%yw`UPH&Vncf7C6-FH@oX_L%QpzWY+G~GX&Lx9kk70t-LyMu-epc(#tObyxKSP zSVhcF~}Z%u4?jq;2{8#Rj{S>R?y1ixgzadc0u0?`qo` zGtGzLcQtMQy;jT7-`AWvXBb_W!_XRpe|uov_45Gp$?E@}k+w7XESTzD(k-38JC{ox zOl>|3Hx^P=IT=3fG|hpWGRKGMC^LuK(>~|(dG75{Dt5S9hV zGCg*+=1-wA{bTh~tt1)}5SP-0a@zAkiX`|S4jz(6HD$y)_8(CxM=Nj0ZgItaWH&CK zOggfrNOljc6t}Xcw4GxC9Ne3nprBs^G!y>=Q$)=9!@VeqhFQ?6=5EfQje`iib z+eJ4UGez8Pj1eazDk|@z%Nq$t<+{sRpC=|Lzf~8&T|ugV=cW0XcQCY^LhbwXNI8Y$ zZDedY!=g`Jn4R9OHD{IY61RQOwn-v)Hf)9(h7y1A{OOU&LXu;X4e3U95aqmKVIr8+ zg`T=x=?C5nUbC5{rJ_>O(j+GtP>Q{)tlZC<7{+R%(!ss#@93yc+Y)E_wWQo3<tE}X($%_qwb{40&p+aJ)w zAUzcBQYinrYo1;CN2^R=H{n9{#|pY#YOC{AmadOci>U&a#dTFg>iAa`srTVkpBD@~ z9!kV+(r&F=Cqj&LE1SE9ni(!^B4}?};?VToox-~=D|?*^*?2qJxQ^we4ff%^51qt- z4_W95X5k>$THEuy|KPz@h}hs232ySWwI^96Bb*ORKo~-jPG(eWLR8P6@KXo=kM*D^ zNTx8!BFhA4qBX-p6!pygQr>aMwX4Xo%*)F*Xkdta8MWii__~m-!n@bCBCr%191U9A z7|T7X)-GwCtb`xIumlC^H8CwHNW(n_i|Og(T!*ew+}2s!DNhvN*gdz^i7)@9P$Khu z^f7r4uPH9|pEdkuioDt8S7$e&@Ss3{pwP42X5>fw`MZZFh7h5Ez3Vgk9QdS2=cn!v zKj+e2IUMKOpMa?;Nv-Y4;SR*t5V%4c%pq(lQqSE=pcoq6a%1yrlJ9f2+;#msdgj$u zS2S%($1RJ$FjD3>DW_u-!E@cPXHqB7yUAf~-MqKY*-0S7u)i_9+ZRTo;XLoACt$Zo{jPLMGt8<-i9fU_!g*gfWx8&Bl;!&3Nr&*C7S5}hvY&ZPQQ0e3=|F-u z=O7e}SV&rUD0F-_!ePIjGj9;WK_VOJLR_1{@h!3iT#--4#j&NWK)ekaY$!U;3kt6M zJ(z_;!wRmh!uMdKs^>XJ-_?JAikr4a%{iGlaV0*-Ud3P4ojEolAF+SeL3lc<_4QrR z^_aRnnPbes#d(%@Q<~p&r7AS7i9Y`LfO<}*>#Fm)`skIBiJgRJq4>$(xgWD$tb+7U ze=VPqT*&tPZ$G{)`uCgPL;TFI82#~D$8ccI6I|BJ!acE1@!==qQ(N!PHu6620x9+; zI_h9s_Bo%e8ROI4!jqy={oR@*%`ul0;2*j@@?;-#bY))ZT^urWC+*@9!=FzV^Dr|e zrK^`OeWPpBb4dK(@q-3Tfcr(WMkX>H4W8Lbip~Lni|-422NskIWaOH2b87;=S+G=6z^1O{U55nIx4E}`+E=pY3T-$lXCQ7l&(lNXd{U!?kdF?sERzx z2Kd;@fKnfIRA6k$k5GknM&FVcOotKQ*?UF<&9u6=?0r5eFxd?Au0;N7@T0*t6lyJg z3!Wm`c0x@a`khZM?3E4*ckFfcxjg^(wcm6R7nhj(1^+glcXUdC9FX(I?+1pHVL#61 z><&SX14{R!9P=7jLj!V(leJ}VMBNA?OP@OywSr(9sLx2i%%!I~v7^t&mM)G9%HeKG zP@&hT6B2Nr80x~0Ou{{-(3{+eT{z=uNUKBcTF8VaV)$IS-bXH1<==0n1^6J`yAgR& z>9+F(RA{yOnY*!*JgQwUyYW0leQs2F1);|^a`GUOkq=KfduTYl$xR-LHcii+NvGh< zTJz+YV{!&B_yK}KwmIM@Q(4QRHnV}D*4%(2`|S9zk1R4x|MU3*j$l1~Rr95oqxrF0 zTe@lHP|m+!J>6-qkSXoKhaL0|hspOqe*)w*15(ouB@F7X4C6rj)$O~bUutMp#rj%=LJ*U9Ya89-9xN=L+s*L(*9(e2l8g4)dMU4OTt(>}fyB(eaJyivIY27JzA zfur=}hYy4E^V+}yQB+ivIi>C6(*VvM1sO_3>R0up`gLVd{Tb!tG19*`vmx0YsHpk5 zch&;Sy_{{54x~>!x&meh>=%?5&($y(Mj{HVWIfz7@w!7yQqX&^O)G|4f20Sjk##{Y zbUU^8VkE?zd3K!{Kwf`*_xX*422JLV5Dwo`VGJzBC~c-3&ov z>2ix=@(jaeN_s?Bx*Wsvsz}p^w?s!R)wP*n)nAPM;(M2Q*e~?v<2Nal7g20fu%%tj znwQ7+&^yV8pdYBiCaN3c4Cn)NA!HU5s!Y5MNTqdOg3Dm%dqHZ0NS9~S1|b;=!57x| z#@(uPdBpw*%f(shD8+;%k+=*ZFRVBz#@K;dpT=*Dw)rk}%v^Yi23 ziC{3KAlci^+P4uWE1aG2nG^MrDX_bg9-rl@_xNx$?q%L)E`GrE4?Dek*s(`YPwfq` zD$Wd7_priAD(>NrnOk?-?HQIBBeHXFyl*ujdCnRJqu1lChZ9GzXRU1!GdDA?II^r# zWXN{Dz0n{*@bEgLVvnuUKT`1IbBN6)MwTwnwVQS*4-nj2y1VwvGZV#GjA6ntEo zGIz5PQ$BFWch}X9Y5`LG;0652&L+N`l-(PW#)V>3 z>)^L`#xj$3j2o*Mo|GzvxQ+xTmYZI<2~dZBXb!vjj5E}p-45@xWZTG>cG8r_lBKs? zX!Kb2Lw3&ZeEQ}JW@>?Z1=`HZhu^o_%7(wAPB7s5*9D4d>=A72IanCS7rKVb?TjGm3IyKZYGA<&Y6K}RGAnXj2xCC z3CO-wXLF}}n^Jwyb257!nPG(Pug!8{WD(+5)Ao&Hr{wQ%nsw&PGpYaERLYkL0el_I z687v}){+>u+qVYSWiO)()#-~zV!XOKnRq=Mi*g#QIWTm3!QNS?u*&pfF|t#JKOU+) z)!9U~GtCqfa?yy-s!unLpWN7HY0VioEpW=jj}Yxwwk;nJ-I zgp;9P@1e$x`rDbzygf=!iU|Xz^BwAukEW2eq^TOs)I70qO5S@8mkfQNz)9poy3-u9 zC+TgqejI;0XGtmBDTm*SRGQx1>8V{(g~$vbqmbONJzl8-Y6AM^Z7Oo)!5hf#Pp^9o z&Z==Jt3WACK;}F3gK8iV=SH zn%wZE>x>T`uP0tufhz3$J>HuCfX~l@FsTVB9zNN|K1E(^*k(^|6RPMXSM5@=qb_kE z9~Ru0W}2^}=0Cgt+bNS^r#Mqb<_Pd1tUk`s)rYIH-Dc3T3|ZmZm*tq7r^nxFsz!pJ z_g)SgF$>G8oweQ5I+i&#$zkv_k;`=Ls$0F>EZ}4pmVKFOYve7hXKq*YGl%m7kJ+!) z1?0_u6nSKN$;8!r+k=CTE7xbEvTtGlpE46T0GH{h*n^brkbfzzF!@Bu^wOXKzxPj6 z%erz*m-VpUiO=B=F``(HM^Azs0abC~;I{}l-@uxvM3D#5aKAdS3XW}X~M zS+wh4rDw;-Bg}`LiZ4nV8*&`_*876Gm{?WoL8pJ8ho11;AwSb&8I;dm!jFFS6aIe= zSCO7rp{(Mq+j!giXUy68ag5ZfW-hqb?Zc~rz0MlXouB+9lkx|5J+2p!i={4%#zVEtQojS|4FS-NMP37QEa^Qye92ef3EcW*J?me>U_+`EQUU|Dw>mSxNA7!k^AtRS zf%M}0QX{*`vS;BH2S(w+hgUloZ4JM{3-{9Gvw~exd~)stqw2Q5yRa<85vmRRngf>7U;bSL_6AWxC5_=!jG^DnSlz8`kKE8NqJl-gl_1~!+pS|h)WNW*N z&M~jC(NBHmS+m^fLpu|bnfKMHwm;4IdwP0Y-Q5#Dd=MF))9?g6%lx295`XkimVmRJ z5M|=?yau+=WJWwR98_OJVXAldh05ahulA27(P#{}p!Cg6F*(IE1&Nw8XTf!vFMydm z^I>^@T6RfcTGo6ET$F|%kmqNCPxBKL{%fw(D$#Y4 zYEWNae`|M_{yW}OWKPzORAkQWnArWJuPe?F_Ig_&jZCM4az>8XSt$9FsszR+ON@e)n zfWWbm5)Rj}IA8B#=!sA-H=q^~k>!mxBRoA-?74N&(g$ zq^$C|r`Dg5#yo{MVB_4z_Hyn~mF_pjz*fukys-W3MQL+viw)l1$-~@+i_z+T+gtMA z3w#QiQ}9v4e6`%%M8PwDdsdeKuJ2ArOeDT20Q@?LLQSJG^UT(%e56DWJoO?=LLB$; zI|pd+H1e(L#gMvSih!0Zlc)<18l|K?9=|YBj|;|`EqysH2?iKS@{b3x9tX%B|6|>9 z9eDmTSGK8zr_q)oLycRa0K8DG;&7*|&nc$&ft6?)dy_#PHzVjwO3xYfGNCPg6xSz0 zJNN#L3lQ=6831TDP1XQg0zk&M0sB($q=0`Ru70CLpD_12kFy&~!N)MXOAJ?0jYUP& zLh4XvRIrmX;722o@y?+EjFpzrQxtmS%wg5AyJI0jQZlbHkRqRRUXO5f9DZe!*lAd*LNxmQwcMp0+0p`k)ksZ%B%HLPKuD?SrJPHPaac0LFX$EijZTLM~&ppHxzVxorm+C(;En?V^N zapWhEpVKpG1I6#$R(Mm~3Ey-alqmt*R_G{9dp2%ScU5mKed2WRk@Ph5 z45AYUS_B+~AWw8yy2hnsJ~G|LJ;RE*v9;h5u4IgbfhKr4zY?<}e-t9sy z*CZd|hkHvEBBr!l9lgH7y|-ybB= zZ~omRdd2X+cQ6QGO1YQ6$r*hQT7fVHScSiLn9>WPOZALK!d!6veXsje@7@~>$kE=5 z419Gd5>2Lq-7-5D`sD|<&X{(fDFdd1p&R>3GJ=8Ne1)0513t>tCXEoAu`ieY)p%~h znu+il6g5VG@}W?S=g@Hz`zO z=r|Nb1L;22r#UK7DSYx~*IVRwZ0e^+$gnUBYUwLl_N&wGLe-T31UDK~k5>oS1e=|L zIiPhnGNE!HmjJE1_>(M%2`)bl=w8VNceexMZ8W%O2vGR#056jK&Jc?Uh@Lq2rSPtd zdhNjHgkPsxf-hO4v2nN5zS_F*E_sLtQnFcAujnv^S!rUN9;ac{6z$NqCS9o%?!JWl z(eLkgJHE#GdZ9~iB9*`Ls>x@t{W*`yN>AgtcJzK6p8XT#Y1wYA7tN;BXR7qR56ufv zLu>R-(CcMRsv@(V3rH3Su$BA)OavIMb<$l*cccKe3?jsw=Djvzbct6Ug3)#84t4DJ zhU!FhgYH+tj}lUYi@5+@&dOS1C7=D>?KUon=+lD&DvQ29-SMKQ`tk)A4<_7{Ow3r% zehWjWqvE>Vhmv$P*X8D53ytZaKKsf5>D3%yg@4L?-owAyIDa;ZZ-@A+W&7?<=?aGs zXu-?ldKq;8ZN`63Nwmpi3;=v^(FKh6rlEmB2SCDW&(~AcYHbeL7;zSDm+)05^*2;T zTxYd~L#)y;iQe2ry)xYku9hKIWJ+lb=Ff$=7!#Gw-X(vz$j#Z-(0d>cCk|KDt?aUF z_GK(?A1m;=kAR~m%wV{9)-=QF<)Zs;x7JqUe8rY&^|KSLK&_Hw;gMuiN2a>uS{?@c zF}gj!I}h-DDXts!o2dYX&(%oc*YpaaG7UR^fq(v)2z*4rz74jY=aN8Ekn*}E(=32l zG22O4)kyvpmTX4{Oz_{c&|gw9qHuY18+ObdzJxO<)jI`Cq4;i-lCkgBiEH?GUC(V>PyJR6D;6$)X~E zNel6T9;#KF!7+3EX}jJS=2EirRPkJ>2S6iF@2c(W!H@Wz~|?J_D{T@0&^s| zZ#WmwP{QUW;70216=rV>nhjfuI3FHWKyDW~9-j1PQLWWFNh6-bo3OH*PK57HD_6PW zK$vZ46+MVF&e@C-9ud31ZEEOz_ns=j>>w?!y9D1VOH~Dr_hgO~9!nzj>w?sMxB+?5 zPwXG<_cx+(V#aK~<5S%N+w6X8N>bl(!IK2vVZr|%PWk7xO6o+ZjS@)mP5qzyd9~bZFt0P1g{$LOv0_a^(A`!@RGQYc_KET zZMZ2WgHay}q)(^(z7(CWVIz$sI?{-JB+a|OrZ~Ke6Z&TD(nGs)l~HLS8{TC(3^ zCS`wJwFr)CNjJ^iZ?0~O1KPQ~gl8E|OpU#ml+x&Tv@+R5(KG6nehQUUow0&qwfMJ* zboqMVVyo>QWAM^jcN4>Mtk>ir)WQfQZBL7Ps%i_?+t;V{vIhFJPD8sLyqjT90iGvt ztQ_8||2QOvo{H#ed||%68I0{V?c9u@D&~D-qV>;70oRDn{4|*ZeF*AWLFtiyo<;QHe#pQx~BezW*E?e$rzf zBiB~>vm|BAzq6z_q3U$$Q+l~6u#PT3WquQ+n+8#JvYN+;)yADw>bXPfs| zBR+!p`DF8kI(vHyxea#uu#<|T()ABis7Og+LIAUQ?tS=b>*FzmF%b|$#?hL@#_z#s#09? zcXoGZJsa4CtD~BN*Q%nx7~qF>HA0+)gY>IkFg9wNG)FPc>=`*TW1)&fA(Xocd+bcSGcresrFut06Jw zO~8qQqG`yu`XQ-_n$r<5TAfrtZ@G>dG-X9Mi1CT%>5UdpLBUN+cSTPYZE!(F)ipML z0Or#8U9;JUZVXN$zT1)C3rf)y-$79KF0-G(pj$d%(T0B8x2ScOPYEAY*sSJo{tlRl z6&qXfxxhHi&?f(iIrGK5J=t(}10gMrid%2K#FZuON)wMwOZAVGp%1Pjl+ZP%a4J;Zo_>9l=b2>C*Mm|wk7dLJrmdD+7H#>b{#HQw_%$sw+u$Jl zk@z_o?gn9rf?!r!>4=MT7n8rjGbuwb$M^Gnt9z;mGTUc`wWi$e9$JB?rybZ~%> ze`IVtU2xO~1VfY6_Nh0ICFlc|E6)Q-PRG3>UP}?B#)C*vg6$R?J(cCbX*yhcQ{wpB zpx==9qksKKs>g~Wi&hIX!o*<*@>j%neX21mGTyR(s^q(`N9b2CKRn;nv~Zc$GH;qy zm}ic7{D|-K9AdD_#!)o2?1Ftxnp>CGIu?P{>ABk8#ef^4TMo-wpwU71=74^2XgqmR z`t$E^xrM|}pV%MHt~fy=+mEm;g}3yyy1nk?eI*@M!z$^%@7asLiQ;or>C6^fq0~0y;jT*HxXF`^E7VxYYAxCj)3;o^Qw8Ztryv zeUz}H^q8U^Ny2sNmi-DB{!EJ?VB5(`ZtW4d#}mg8kNaxiRA30MmjRPPB`&4y<`WW&a@QLX^wE+*eAw*Z#Fqg$!o5jn#nE45bVu=r z^e@zUpG1LQRaxU&h~d=5m(*J|J_0s*LTmBn@&5fqLEDw+ZlFUK6kONQo33RO4}k;~ z=(5540ZE$z!={napz~L`0;S}GxaW|Yx_dI`Z)d{d?=|Z5^`&GblMnJNxgpQrkiHvz z_H9d2qOv=O6Vv?m7laSE+Kf3zv;jk4K!Uh;iwa(M$F#QbW7opGip2mC!XqBY- z_T0q&*J7*QS=jPiHKxHw4G&~^4wJuWS1J0jR1MH89LNZqf#1Li2+)9NT>yw;tou?_ zfIOOvU30OhAcJ;mA6GCB=t4Us`N*-PeA)~|-CaJ&SdoQgbK-R+6eY*Xhcy@quk<$BPV*<5!Cxq3iG&i}0TJ%A=K7u_3t z1{58^buKH1S)6!4J-0NZ#>CL$&=uq9tHg?(U&*1o*2L$^@NWnZqLYlYWzY()E(z0x zXo=odr;FOxWN>(sJrv-=9isg_G|db$C+O5#zORNoTNDhdW>=q4=`S05|;m} zs-{NY%uE|Z0D>1g!)krk+6yt*ryr$Mn)5)@TaMp9HMOa zz4wx`Yai+T;H>`injk|}3XJu~)x^d2BZ4DN&yGyV4e?S6LNcJJ6sL29Uz7aSu?scg zXunZEwIew65gR>GKd zmEZzA>1Pm`mn!bKKe96bn93*Lj9N7~(nWqUM7aR6PMx5?+h#bCfgSIQ(`;dmT3f}k zv({rsaN4VziIo*L>sAB5Xhw_i`X)lIQ1cB*eYr>y_oC3zZQ-s(e_KCBse39?` z*9DrrnePbEMIypHk9Kzs#*X(2#s9bZuw6|jfVE@)XlKqroPmL%eUgP)ReQKwslJAT z-ejMT*>5zQA}%#>tHY($qJw(3Yv`F`ZApAAdctW1yFtK08qW2N%8Xc*Y$#>!SmrJ9 z5b}rLzRC6%mtPG)Z>7<5^9@&#>0kSLu}18G*CKEK45xlZ9Y4^#*W)?w6*po1OmU== zpQv^K{g!S=@PJ+i=-rxO_qe!dLo;rXFeT7iKX{vH$vj7uucUNQX!VP)L*|IITuPUP znZA!=@l{UlUrZ(0dBq?0a_&;GZ=eC&+G=q3!J|n>+{P>GOjr$*2dNe80&_f~JLlX_ z1hq~ja&@9(yL21!lq$2G1|}2Y(}f!>Ej8tPuH-)FO>E36ROo+wyt1Z%D#;jEumA_) z))LcoyX@dWbU#jdZGpPOBzlkci41V^UeA02-lro^e~>|EP>KvaHotzgqMJ}2IieiB z8#|2cSC{fb#KF7mf?r;~ha&JE@ulOV2fxCG6}8|LS`2^&tc@lyUgNG=%ln8aksa(C zgj$&U*JrG94(LSzY5^R9e*Va6`x$JJ9X{opa|3n91JaN0<%&5e=>Yxt{1-#q4I^o| zm3>*Rk2!@Y;m6Gsv4iRoce^Bi!d@Dxpq$(DO%WL&kbit?yao}YDg^B2lHv;y+pZ+v zW*_dAEC6Xc=EM0uYjAyoSian;bhL){wE4`RufluMP0C5@gSR;aSkQ0c48*NkS4|g4q1ZGU|&WKZ1oAZ zoFCHRyYn~ewMSo|Yj)6x)+3ZBf%Q(-blm7}7f{R(B4sTqtQt1Gfhzj+9OYz!AJg0z z)iR$BspbC}9lg`^&Qb(pP~YtSl;}b`VqaUAyldf9t7`$pOCI!G7kPaSoav&gz-3Hh zVPW`}he?lgbz9IvCh!Iiyyd5@wobf(#Eu26`2?L1z=-We!(0UG0Rj5pZ-PJ}-W=+d z&rYLq4rZn#MTD9jdGrdqRR+pSz(g<@QzC_XP`1z2z=30QkH!Ge<3R`JaH69}<>O#n<@tvZ0NhcIBH4yxw^fMRhNPK%yU?1-69G-&&=O>JQOs9*U5 z&=?E-ovaI9^o&L_K>8LNdH+8*R+!9=;e;DVb?xsHU+@j~q09tcqj+kwCWYX?*!=N@ zv4FAgH6vxWQj$v|3(5j=1N)hP`Kdsn;DpLsk|WM9)~p^f&3bKlvnnlq;lORCl7`I+ zINYrsFpqnEwL7N8G+|mDfrQr6l@!p8EwTEv5aq{@~A+}3ffd{{eGX@mBRfvbbnN?n}U8F8|x{ZSUd zf4%va3S&F-gup0JsqqOnPRv_G>BUB>GTkZUb~PJ`dQWFsS}b?XtuYIF14K51BbiY% z_TA^?YNTLhi56_m8-RzIq`tbGGrf7bf1?F?&i(6bdBQvCrw6P!Yc~Zp@frc6Blgi-Z zAyu#oODYf$URQ7cDf6I@b)Eyfc z!I5DBxD&g{@^>FTkQ9`MWa1I(Z z@Y0wp2{M`HAx&gF?mYeClVXJ!P87ne6Dt1_*BbwEVdE+6KCWMRL`&BXoKHUiyK>eG z+y)3=DCqK#&}Z+U-98Wi&xL`aN*6ST5dg43ljdUPyExPvcxlj^;wY zV-o^kz>z&Mt4A)y?|-7ki0ovP=9h(%;#nMuS-mM?9()#8;LS1Q<&^deGkop~hqHEdDu@=I783M#LDXk#^n}TmtOj4d2fn`2Q&CSq&tkk+gCC1!X65 z;o?rvtWXK=r%n(SOEscf=ve=MFV^qQ06FP_WJjTem{KIB2*dpBSN$Q@D|rT7?4SqW z#w!hXvJ@f;LenZA9C0fy(j;aNnRR_Wl?sk*)%Hn~VgYxtp{I?B8S58{$V-Dil%P=v za~l`65V)q(+C9i#74Evw0jZOa!&IhIx;LeAZk5~x)i$jDqq+|rSEzw0A%scrv=sL2_2&;#xg>Mcm>+JoPVPIOrLzI%r#5G z;Zj4J9M|gAoja}jzrsC6W|x?j%p&4*>K_Sadegjq0^AaS;~GEp_SO1<)=@_h_;Ls5 za3;seV}UOokdp9jel7wAm?qyHFV_;shx3H)IDnGW91mp50l;aEW3Km54B)%)Auirr zBboJaR!}!OH2o(`=lSwCmF-jbbO7S|RCmq;4&btHyNEx%7W*V>p*ftI+y)Zt?g^wb zJ8soa9;(Ze8mMI7nb8QH!Bg;yit{UxJ8xk60=V6ghz-j$Pa#e`b|}Z``h%PdYbmaI zj@c2>!c#&TNr_SfNxoHnP$`M;3iNCoMN-l`QiHmO*JG18P}_hC_>x6kGSl1Sv!8X& z4^_g)0urh=nD1v$fapQH9~i^?({E^E3e|2-O85(p1ih&`nnB+Kv~@Bkqxzub0Al!L zG5cwOQ+0w*Ih^!KWp5uT+PNvKklArf42j@IwrlB;{}tMe)`&`f*VsI#W9kwYe605X zR7|Yy=NZn5Fd8O(iD|JFSst)8cq2XO0gA z!kUS*MaM7zU+ntL#w^rw+o!cH!#;JYdD|=}gGhi{BlC#uQIi0jiYR38vN_4ialYhc zsgZg7$b3LDri-6$D*rGdsTwnzO2)$R#B(^o4fUe2Vp7FHh6L8iml3v1@hWhtUAiE z<-J_~fW2}fxRvHix_-f*0Rn(Q00d|y3w_79C027dA2?%+8i<1ArTcJk$kh^`y&|50rUuw@-UwG9lLrR&~Idm?c}jTNR6 zxE#N@hpSgthOdRw(5V25vTD#DiCAkOV`zgl6D-}S&mmRsVYc+J8u-(mks-Xv(sy^P z0q|S5>dWv6*uUABhi(OrAZANTcRbCXsvVibfbT}n-d)I{Ha<@nsHm|383B?Z+-Ivk z6b{7QWBa^v<;r1Y4fX%mC@L>U0&n>s216F8Z@|!dIB6Akf_;LPW%Q+Vf~HI61x)|R z6SVIZe3b%lFICM$jNIVqqcdX$h9-1&kU@DL<8A%5woZX$A%~gc*I)YO=6n zpWDI7#n4X8djFA!8L56NIOiV_O-+c$R)_8aW;}REQ%hedbIH}M%Dzttb8t)eU=lsG z#`p|TuWGx)ebfA0+*Xg=MyMLUtXsm}SN?+f3-YsQRf!*Ujvm3j0Xk$MmdvtK>4#Ht zqx==-TCZVH{&VhMYaKXA@$Tz?6i==}iU>9UthV7CgDm{-;8GZ1_(e;o4b8k>!hV2= zhe}{Z!o$PEp7jS16|ljs0sr>-=nueCgWsqM#MOYt+A(YZjDsaG$l?$#1Nk=qk3)gi z0RxV(Sayb-KIY6h>T*c`#HUN1Y?i0{o*DgfLvjs7T$hMd^e8z0ILGf&&uSK_`wmt6 z1uyvEDxoG5JmA!K-Nmbq>FGav1@W~}+Lv};?JfX!8wBg9sK{QFfL z_pQAsifk7k*xWL|lq#OOp@4XkI(0f`a$qPPkfVDxN0)qd#AH$a6lcr>eMGZ{{)4)| ze*OB-&i}Ge4Fv-715+L9i{PSQ`+-II;b=fU(`7)`LjhI^V#on1{`MEmUqG!?_#?g1 zei|;WZT(bmc!EoJnf_*A;Zy29eL4jjgh~MD4#85q^;17ve}WR>{nl)E_qcW6k0K1+ zk%+kicO<5OSg)e@_u%9qZQ={u<||TTlW)I$CNnf!(u0QLl^>bmVjnGbg@cB~^ZXUq z#<&3~8A0e%|JScA7dm4BgI4l4fW@YqkKS%G`qD$XJCw99 zj__uMb*K#%(EU8g)wTX$tN=LPrKF^c>fW+}ku5tncSXMp;1||l?fyJy!#6NAB;NEx zTjD{&5M$g%)`a}C3^Q<_--eiBi7}SbF9q{w&;DGT>=2)4jU>M1 zT1{B$SBW+A?JL^D3)q(uHzwJu+N8x#R6}khI`)N>+)vGslyy=5??AMKtvQ36{5f+; z914qxm}(zVq^QlX2)W*I2OQB?f-Kw9

e||Jt2;>`9dl834p;*~XeaOr;Y`ozoR|Na&Gx091s5rRQ_HIgFpOkf z#hUlR`%(-=+jkn=+Vs!``!U*C(xd$Y1I=Pr7pW;-a29|eBZo|IpqBa@(Wv@upNDL! zj>4t@q<&qf9H)wN!kE9j;^gZ^($!|gOv`rmxA~x?k+@`MgxH$6(|OnxZ{I9r=h#JI z!uD#yYIOe8^v2^g$P0fIPyg&G)7#Rzn<6oPzi@jYM6d?u9`A`czK;y$%lRJpd{kfmdwH6-NoK%L<7!5Q+vqXUoWGF8v#R_z%4gNTyp2Nj1AQ|}Qk^p2`Qqwe*^z#C0}y8pKOom8e2rHnlWMeoY+CiP!$|6oqJ$Rzvy z&iqm13+@lmOqcpGfEd64&KCKj6Q)r3fblX&l~uR0vdUZ_%WCj(YQEE*nr0AE85c6) zzUAp#eh7luwE|fib~TtBXdJlNb00jmq5^taS-12LtL)E(*jI(+1(nGwDMmg#%K0%9 zvFnecpM`(lMe^MT8JUlYyPxZVq=ZfN$p3Jp#RBRYb%kWGhw`GXuTlxD7vpQlT1mm6M;s!umG9U9D=}|y6$oS&dWA&RmzDYS&P)?ELS4Y@IP0~Mj`Uv0 z)hpHqHs-}KQ>i(O$y(EmD%|(?y2}ZrYexPA|6~Qc$r7>Zl!;0hC`R{m010}?`Oc##ald<{88f{R`s=)so;%6x>5Zhr8(qv_oc1lgH*+przC$wE=lZ-bjBJ5KxQA9!Put z78|;lG~b&4OF4xP4VDzo{K;>sJw3&7G=Di`YkDOm?e9v34zwYAaz)yG7Ki~iM}N>| z3(~*IKR`QB2{dTqrKX68_x>O`&UZOkG=Pv!Ou%FRSv5!?D?A#!Y6ey%kl4}zg8C4C zjt?H-fl~-X@X#M$gl&A~H*dPk+9)G7kYQvI_<*_+v?J?oIkcjX4BfjGt}F_4t3!Kn zdn0`VuJ4yVSxqWyR@Hqvz$sIb2q@(Q;5)ALql(%Q=h%A+q6GU-4+~IRvCft6OeJfbY{%G68NS^rl_^Ts8gnIQ1FoC$ZVLNm8nXmW|BUABM8$g3H+hFqn zmI4IDSJw?U&GkqdV+Kn8Mura`2uwj=QpVibW4F4|nW%?oYLte5szE^oqC(W9<8h)S#5Tgc1w zpapST{U)D|x;{?~|H$?IuV$R-0(1dtJCvg`>j$3;OJg2$O9ySOAjorP_8R~f5-axE z4S-M}AOK-H-gOVB$Vdf=Kxi#bRh4TC?C7c!m>-uO&CsT5O}IMEEFDMSxkvrUBNjKE zm|EB`sOTeB_};GEN==3R7`3lr=d1jtnr!NbXp=UjRs9ZIQsG#LtSpX?HD9Dq?M9b( zi`rr*2QDm{LBA;frB%a$6v5MT&so%J{mqUG6Mgx5n5Wm z4Z0exP?5AUv&NL=<>jEzqb5rKpvic<%##aZ{At3M5={18`P^x4-vT>tF*4bmDHP;N zKhIQQBLMF;(YnAQnhfo@F$#g}dOB@bMCAqnDJp(!yYFvwI?HR3z{VfgQ3WLC4`nlc zGbrC^YHbV~i$!-e4aYm2?i|K5{@$p=H#ZzFiDjp2a)-%PTK(oXXguIt^!nC-VyY_f z3ZI^7ewg)|ALvX^-?&H|&Dr$)JfpADO_r5ECoId93hTF*#`#xGKnj3tkiP)v>-q(4`tP0Q2F73zNCGm5{9f<0%dUe)NYeIQ9ayK}j(Z>%oy$TXodL&XTYGZT z)oi9@k8}Y*7}?DST%Z$; zo7qFRZ`WB8&?V4rhY?KO=H9IKM_%acaiDV>K>S48o;#CkSzY(aa}YC=DV1*zV%b49 zRuDG4H4<3O^K9$;8^)y8v?|KFzqD7~RXJ5OKQ33jxg|r1f+;kqKSWXrjauDdhuqB zk)URd?N>M|t+G4#dFDqH2B{1IT^t!JK`>Obt_xiuSI7bakIesqA({yB-&V|~0)r$7 zO8{2YzU9s+K-gJ=75U8XWGu~fSOeHT(EAenAoNE4^y!hFUMo=LgOv6pQ4&)x6@XGhJ!oLB^^uXQ$WDiT}j!LY-rG=oV+>(AI z*f1;M5-D)JWOvlwsOGt0eS=>PR}pF_hFpD`Z1XASc%`t$R!5vSZZ;0yIcZlXD4PgW z8STz(A`m5ehTXFzQ<2LR8VE=UqQ450{v~nc613fn#!5q<{1eoe)HtkFbTe9kQ6%#W zHCyN6wH(2LR&Rr9;{b#Ag02DF!44L1l=KVwQ+-_9^vY8#nPvOf6c5#H z4{sK}*~e%Bs-zDqZFUL5d7WymQ1K;VGnF?BI0_xhtnU->DY^RvLqKvDHj>fUgX10H z8@UuM9j2hY%Qu2A;`R)sWnoD}u2+r`RUMz!S^Y{sfW*Y->XBoLuP$H@?XLRM&)!&N zvTaQBJMGFoEPp|S5=NJQ%Y%P_lsP(FtQ}+|YNm?qWmT?$@dIU$#bgf#;n)xR0sT8T zk=;cP?CN|JLxYc5vU{nx8L7rxqp{JBGon;_EjGCvAgY{Zs92e-;;estXOZ!K$ERpE zNy3ff8wM+jUD2gG%BOa0<%hVgP-0FzkT-|kfFJz-jK0B;FNs4E4jf(GFjaG7k9S7O zB=qyB=#k%@lijUb@i0K5mFm+VyAs)Jjr`mTL;=9{SBhD#>=v0;MReL2#uA5iWEZS94Vje#ws^#)q0b= zv7C{C&a*E-D;AsZAvQ;);>QGFQ&}d5G(o|>*|-`)`9)zDpBPD<6yvB>fmic3@xJ)L0BJuI6yA5QWiup@*fHIi>6<97nDCuv=h1shI;gU6z~7 zi$=Dshm@u>E^)kBqkS$8(@^WQ?7R&$W7c2xzG(dvTEhpT(g;dC!tLwDv%DGq9z&Lm zZB2i{1ULkoHfdbXJI(2%{{hCoJ+XrDw9?C$Fd52px_X_23-MH}($E@a+x=U*LxU=; z#W79;$})Ne6jnW8aDifUE~!SSf>=09`>!mcL&`qqJ~yRju#s};DRjP^dgQR+#%+JN zX#G`nn)*q96MW2;^<-Ew+N6RMfja_B0@LF%%6-d@OA99$#XZW0aZRmHXHfSqz6k^G zh5Oan#80s!F0{RPa{wLZ7~YZe-e>UY%KvYFzcxC3tnTXa9S&nwdHH*g6ADvz7vAq! zVT|%z-ip|J2oGto4M>clc>Cz(n~wOwA&NX}sCWtyW#R*Xxu$-BJ^sg2)pJRx7PE>pIPDIG>S9adDMV&Ro^{Gd=olSAzYs3CJDeic+<9&spC)O-uqv} zy=5V2^T==+k`}uFA2eO?0cholng_}2J&4Nl**1Qm!wvbC54*I-|CY|uzsw!8$B#R~ zG3>SY4#)P*8>{{_NkGs06?;o};QjWJVcc(kHIZ!FUxMHgYRAAO(Bgb5ot)@iZCjO5 zc}-1^0qEr4ex`sIExv&@r9I2ntM2izgSn(K1a#(E9zKv;Gav%JJ76kO*oXcTP;FkN zj&XS?5*t%Zjy z!hicPW%+JBs8YB+W|sr>K)T;OnXyydbpJhgCi)Cr!mQtH07j3){*m0HF2?kXth6Nm zydOS6qhf%`O^vDW+j9T9`;aP=GF59qwQ73~JkiC{{4uL0pLnTY2=$+!1-@*zs>Ox! zP+M^C=IF7Y5y(MK)*mc$SBg0ixmwdXo9D-D`5+k@T{au;@>>()`_aw!pfPjk?<_ZD z67NW2zeb+<=*Wif;@_dd0wy-rthl?NR+1@l=2R9vvuWlyb#tan6VXhA&Wa#zj47y8iy&M2mU(NJDq{BqD(*CY5FEs>Qki)rzmC7Vz|f3 zUPQV_dWIb{|HwNo#BisgueaEog226~au%%Ixd`rpTe)L$oA9B_xtr!*p&*(8LziB| zXrK;n<&5m&zr^H>SB@SFzx3=BfiOLV0A8Bvp%8t<^G6znl97xRiz70fhVl!pp^;& zqFX0*S*wdI`5^EL1&zVkl@K5o2~xH+mFM0~HXUm-aiXyT_Gm?}7$%JLIcD$%$*$Xr zHbK5;?w?i2aSC>5hf)}nf7d981eS6JKcfNvsCk|Mb!#$1PnhGT6O0U(Y_=+PP?}C5 zDsU)z?Zc6vjx=58AiN&8zI5bd8rv9!Qh-fum5%hYuUvRh>kki##$1GDT2CxfR8)?< z1EHcz$uDax`ub>(H_+u-H5I_^q=RblU~@!pk;XjsEVGaCOHaHZ9J$6>&BA;;@(~DQ zQQ*W=07&FF@~<*?NW${Y8^Z0N3?;nPYHY8+0|rY`c&4IW*y%-#iYQSN6V)njdP|-vA!0f)M9X~(=8fN`=z3>YlO_2>h^5d9y?y}OJvZCPUwfWmi`)ZQ z2%yH*N(lunVqFF#qK*y(R~-dG@90+0L0sk~gdB~+k+t_AuAl5}5OAn=cd7{n2oCvw zOuc15)Lqa%45A<*AdQrifS{7nT}p?N0s=}mOUJ56mq<5)fPjF2O0&`;E#2Ln3v9h- zy`T4a{vY7WemUoN=A41R_|G8_vVd zU^ZdzyK1p(;z8DmstP(x2lT%x_?{1!KI5=i^VW2C+fg3~x8U%d5-&BS?Hry2M z_!;^!lSn9vN~3x;Xc7?POJ$^@ZvF26mbjF{d9YlgY`T5(z?bQoG|u}ymv=o=n<_$a zeJ`Bsr?~$t8opA3Pb`A~tGt8;M}(br$ItUB$lL#WWAx7-WGlw-T%#X8iC8`cD~Me{ zrNGivbPa}Ne+~<{DNP|SlF5x+n&2^R!YQyme7*yUAQ1(+|98j*krg{h2jM=BUJxcm z8ZobT3Q>yhmffONL_nL2fLQzQnG;Jr>` ztZ0SB7u^oVXkM$7CYEQxDO%BLJ+6P0H_eE0;59N;K3OnWUO0M))AgN1up%@3Bxw*J zvvZC2C(-SVc4qK9IO9!DamFnX0-iFD$jY&S6b9fk3D-|`0oiJC_)D|tM!&Q~3;7qK ztY>*TNj&QF;h7aX-+iwMf4>;Qjec6_7DL?Vb=V2(7}h)yrkp>L@Hdpi(T&cQ^B~Qb z^3RKSAyevpXv!sQA=+vv>+Rhz7Pl7j2*~!X2KSHeG-$zRDo2jtV@f8OxZjvOrP4)b zBVNC_4et19AHMf2gciMRWZ5)YVJgyCu^&?Df3j;zZK+m}N*V*2ozI-t z#1kJbOYm4qWo!ZMITc@+fhqy0qZcZ%Dwj5qH9mP(05t69bNI2ju(i-oS)J;YrPN;r7I6v7%6wuRWP;SyjaKFrIL)rw%=h9tsokZN zdnU|&Z}v4SujNUYeIC3N?Ab7TZ^ge@W{(vIn8K`{;Ls(S#lZGVsRDN-p4Bk+-UCVG zDYlpn3Ijlh8mpiQFsVaOPmhK8P^bVWG@SQCeWSct0)ra>@G-tkl`u@*=VxJYWb=VJ`i2Fg8i1ymLemxF_4( zJ1=1REh`Xry~H-3?y6S0y%uGbf$?Vf)Ua)&@3-MZ>00mw?xG!bx@#(?T5cPSnQ@bRr3xdZ(=K}al0a)+3 zD_#2$vi$i!qh(9@AB^dLr8O&BuC{e$XPD#h+=Pd{vj5mj8k84oy%cEe=_E3C0cE}i z6k}gdM#(;a4I=-OGEq0BDY_l&+Yfy4=0>i|jXJTXWoeEs|5|<0C2qs0674*6P_T1n ziRpkm@Jx2I#i;Hvjb@ks_}Uj9dhi@f&neI7V}6|=g~(&ym3|D|SN_~z&kSVqpBRc# z`z&a$Ria~PVjdjyV5S-G&0k9M8E=K4`LNGF+kah|b1O$!7(MvL{{P=Ew)-3jxCCN% zysoU&=bO=!6QEAueo0h%Up`1|t3k`u_CrGoGlU613xJ&SlyoYDmsA^2HE#t(?)ovb zRY|V^XI*2}JFgE2`>Uiq)jrajTo>cS?|-(CWZ>iD0i&=MzYL_RDYS47y~AL4*&TA~ z6pV*6X2S&#XLk!<`qG}5%7z@X+Bx-=70iuan;tqIJF!%O8~7wNm$lfJV)GxgfF~hm zYs-Z#!`9WMf%-Gx=a62ent+7sbZf-k(NVIkIpz`8Udp}{ow&qmDLW~|Q4wSbnzz~m zg7z%3_2%=~Ie<;#2#t+VeBHR;~cvM^ye0`ich2 zZUI`+crSVTR?-SZ6NA=nR5K|7WI>nrU)$L!_~>x-0VrL`EYQZPgcnE>vSS;|Cx$9c zv_iGSh*a=29z3HRH9eof(fmlaMr%yqAJ%IxH@L z3gwXLAK@TTTKWN~v5mb>p;sK{s(O785V7mGG15DK>)uzMbTPpbU7#`E6+8rwdQX_# ztmHN#akJZjhmK3D^QvB5C-KUssGjC<1by%Wg0y{b^_G49g>9Dlm54=WQi}ZNZq+qu zGM&pZS<17{^JT1uZ7`lzT~$8<1JFs3%P9^VbeslKZdZiKz}bh zoT#1{L|gBZ=3NI8Qm(f_n!EKU@KMwm==!B9NC0ef8|2s`_(RT8yvjG9|z&!^qtMAjG(Dw__(Ru=uGj|A^PK80` z5;{Qz#HzMvEi(cIqo!fu>Tjc@zavq>$VMx~;Pddr(ca3=AT+H`zfHr>gVz(z@W062 zXt}Q+UJUo2a9_0zFpf`DwxV%qb`nC~Kta1l_{vI@S2QG5-b-BXpi6 zkEhOCP2^L9Fqz=j$Hblv$re@66(&djZW~)q@A%g*zJzxL>W{_%GX|m+d_b9;x3Z}k zJ`Hdkto;BL5cY{yF_3WTFq$Yf4y>yI8r`!ST6D!aA47NJnQeygZmdp|Qhlf~CIOQ@ zs*Ler@kTMs{$fu)H^tb^Y5j9ks~ViEe{ezw1Fq4ZyXMLEZ%2!iz_!{zLaAVeU zkg22sG`RiiJ5`j(*}rkK86mNG=ga+dO0Dj|?a(i% zuiTY4@O;s5;k`krxOF)2zAi*qz7-Gv%WowYf%?BcE`;CSk3hXqliZ++GxjF#(dQz& zs=*>VstW(@2=t2J0Hys1(9*9DbUIM*1x(}{G;8|P_FJzv!A4Wz?H7lBP2t9l|od-$RI0fn}PrJ zE6V-N&w*2FrIk*^exZ91l0fPumU>75~5 zm!=~XEI!CS++0TujO#Ref<-c}e}od@?0p?$iz>PfR33Mr%*=c3$dG1ChWd z?ze);s_4uh57fTfNG3!%lgEZmeVfzd=Q;U>J{4w6zohF^6#B^~(n#2ZeDr;Ma<_RI zVl9q3NsCJ#K2Y%ZRHQP^j9~zR{YfLzgrtHaaO`Xs-Qzk5--OCd=#tMFe&y!@=#Vq76sAJUIy`1? z=`%MGV9;RYp=;=XD*#>?K!dj<9oXlj6XdAI-c%i4=gZ9uVHGv#=wCfqw7cKE>wIr= zSRvrD@l<&1lWIXouHknUq)Z_02pIX60|5_o+TWe9c@VNutRsc zfyF*mLIBANZ>o$7q0%`l_nbP8rOadh)s156YnHywwFB!!v2IH5uH34PV>B2uHM|{m zjY{Gw$R$gG(3~RstWbg-mYwFF+a9?6nw!U%yCJM|CZ?vI(OR3JB?W)FcY$+gSa37E z7YIw`NKtMWy0#zJtG8MyIy!e?P8|XrF-j1qGitMY3ubY4WGUJX zuqa%CX)j9^MbKkRIzi8+!k?`Xp!|OSAm{@vS5h^+LiYC7KKsH*+p7}TkTJuQ+fQ|13QTsbGl10Rx&%G3`S<;3uZpN zda9|`Ewy3=njeV`xYRh_mp3y9IEtJ?{{E<>&|V|JHc_L@qlVwV?y9eA@sG2+sjJOtrLe%7c4x*Ssh>- zZ85e6iI6r9wt1IxqsgJh$bod|EAA>*28AY6eZ62Nl%-=2N#bqhXw3{Z3eDz?Vj zzo?1A>*j$JpqmH&^BMI-iLI{NphNXKl*QTvKjGXUgXQAEnCKw35dXVw(KG94Kwsk$ zQTdHFo^y1zD~<*EE|tsT394P2tVa*4f4OY;@q_X*cKi}n-W~|~0x5|d6uLF4!x=RB z)O&7#f#WnK%go`*ETct6p>TjK?jF?~&=(z%pNoJr2nMaHeSc zTlr*Iz%bN5kIOsQzddJiB1&O0L5-gW?-{#+5B_~KqpOiQu=1XO)se5yJi4|v?+TZAcA`y-L~xjXe5ko=PTXXbvzqhCd7I9xCB5Z%h<^> zwrskc1KLoA@^V}pGZ6|%A*FZGJBN;(l-LJBB&Drl90#-|Q<{ro&;pSOygadwAPbcN zO6&4l8v%B>vP_tOj5uiJmbBs=5SRa3c}a9`tbY^?G)Pm%94Xs4bFN5Ol%~$o_qG_e zP)NEai?>Q{a_P!t(yw0=G$QVFfubsjCfEiq!k0XF6$y)Su5(8|`6S=f-GJkD;nHmCFc ztx2_e6z9Gr$gz-TsD0La>8iU2GM60pW{=GN4oYgiYXE0riFGfZ@FY5-U=M(IEH|wU z&L^MUovJZz39R3h#-suNZgnB-z3EgjO4t!+S|rB%IMYS&_oL=^o;zb-T#ts=V{cHT zYtn`k0(3Xb12iq%r6aD^jSc}D(2d3mnTlfPWx*!a3guvYNHFHXyG(PrgQIJCfK?>E z#}>oc4M#|`F*$#iMsa5|pb3U=;>7U?Jv)QMURNYkae zb^AP(+*y@}GGp(C4z~6kD2D;uIBemDdCR4v5W8gGP&SE!vCU^cI$C~aTACy%{4@o? z{?0C;E+7Ys9alAPZFz&f*023M%WnW2P=5L5$yh+Myr`A-y~RIDqQ?Bw*?@jwRoxi2 zj%s67m@((PI1igAzyrOaUx8+nmWyxi$*oNX-JFHj1sHg+;#nQ zypJd`KGXh=_k4b2Ks=OC7WJ^CSexPFAiymY0$+fTq~Kv*v?9o&x#MDr20%UL(c_Zd zI*3?_T&q)3o=jH0ZfuwVOL=w`%r{Z@wNp{ZtBoP53yK14a~@I8*a0pCVimfo@N{bv zpVG#V2qY9S28f|1i(jg4z3T7(n7?!56Jt15`v&wkyRy)gdc=DRs)$6)FT}J8s9>IL z6(`6b{P|X*ZVC(QwggiDAd`w?j(dRnM+`#(@T>qVM}{N!DF~q6T=c1`D$7AZc@j_} z%nm5vpuqyGAdVHgi+3Ab20CnV?yI06&oa8TJI8{Uwt81`gUHXG;%~Sq&>eFgQB9uL ze_?Yh#6hYo>sME6Q6?jNw83mT_vbAo{0kg4Eh1>!k)Z z+9>|7bs#tJ_$kmGz12a~)}JO20!{-5aB!Hg+*VM)kIMfBngj;KH?k6TU0#5qF}I4! zvyrK(yc$P~UASc;t`=jl&WE?}J1xgo$n-}>74K3J-{~Qxw64iYivhkIUu(ka`}!TW zfZ9B`uhoK324S6G#N^yd{+HTJ(*;xcdzv8Ki2J=?UgZi#8dw)uimzRJ=Hm~WAs&A| za^ArXarHlw3m~e{AK=(4-4WPWAE~L$Xog*|-@+h$Tt5sptul5kTxreB-YTuf7g6djMS$&>){mD^?cY4ei;@|vQmK_}+k z?v^;vQn?Cpn*O8&64w^A1>18;s|B5B8r=iGJpNpM>9I$-JTfw+Cf;_1jnCxlj0!z% zM&9AOyaCz!nun~A#pX}vG?~41hZ@+O=xJpO{<|q1{~B}vXaHva;(|7Z*SY4hfEZ;n zkkz9pIwzbp7Zvbt7bB4D=Ga5|Y*6DV{Z-{hMA`l3{)P`3uLZxt9@-_a6}$x_Hm{sg zD9fh!+oUNYwc=GG#`ie%E+4+PRwj}S7S41Kwj8`TBsu$Z>BH>&HM0MU;XzE0;&TBe zNy^@y8hn~j$NTnX2p|8)uwjJsM&Afnzsc87PM{>3Z#8xQ4*E#r;4l32M9Uh$25e_B zTZ+f&;8kLr`;SJ%A{!hCv+baL_+oNH4*DIi*tnNfedKJ_leIi;cXv2UogPa|KLwBJ zU$5--IGk8#8DS=>8`XMFfEKcf8%ZZD&B&&QVjj-eV`1vIQD@uyBPTS&pH@C8bn=a( zkknWwez)u%0Inm(cjJN-fqv`$D?TCHPxlH>8=K|4ZtQ8JP73I~th#Fo&5x9wI4QSE zz7$$r-rr^kZm3Orv283w51kQxDv6*nP6lYl@`wLcjU5F6TJ3yc`^MF;2tho-RK&~~ z20Q^6WYD1H%+O?7P8oyBQMbI8#cvSziovDTEeX`Enxw0&3;FIP19AEn=bw0XIaNfZ zH`(>7V(m~B^Qali#>@}AO#QDqUsf&s?rYywqi@SIS3Zoz+%BJ^M1(o~f*?zbY*O+Y zX0bM7sEL3v7l5!XAl|lyMK*bq7Zwrp*Zrb&r^Ki#qX8x}6(D8$$6lWvil}|^NZRb5 z1J;iGcLPvBig~pKvCnWG5ce3^iE<#3GGxANti&NM$XTHE=?c~H$mfVz@X?vHeImfh z*@h?M*S~WR1Ctm3s7XRt-mU&Qka!wBS@l_hysDU7LrqoGgx_Qje0F}xIYrvh9bOEH|q0pm=}K zap+x@=ggdtR^IBlYr^Ga&8lr0xVq;5K{Sudo6^8QP#~@Z8YEiWS5yY1;j^DMO{dI=Sk|wykgMn-mO$5qREkiKXu^s1%u{<&rd?#OCl zRiBuvT<2<=^8*Mn;8r$6t|D2tP2Yo1&d=uV4+iXuDV$siwkM!PKx{Aa%8H9i>>ia) z;E0q*Wh2#?6Z7c?1yFQN`_JUVCvQ9akJdyCgXn%<<&l3gwtEZ^FPS{T0s%1`?B(zH z_~Wd(SYoV6EpHz0Bt72}4zRXp{0e9meXp=-9m43gI11FncAqgA^XMsQkua4P@X(CT zFyIbRpIOV#MfB`PJqYq4>4!>!Nx>$K;ftn^0)-1Iz5wZhIKOp15>RDu5n8q{UYX)L z{E8s+=YMSNGQgz%hj#q~#+sh zzzJgiZAe>Fv#_Sd^T|vMvsnI`9SuM7VgH2(F=+5XAlD9-k>Z3g0?(tUihA|1x8yc%GARMFc|6 zi!a-aUOKg#KUd39rmFyr52db zMKleLhP?}xqCwQ+CtZ|;K8U7OSPv0z!oiu5d8#D;?0*mC5f2YmP!|kN{g{y<@#QDr zwSTFoNCDdZvhUfjA=0ys;PCD*T`A4+gDI~M+MiB%Ni--53&Y7}bd(16gcDOOyPZD1 zKCrUeY=|45mIHUXp;qKvdQ9$jy2|f#nzF8ajjn_Q$?x*bRT)D?UI4g<2M-!~Tuad( z=>CvCad4jB!YnZ%tKJRGWt*PDeY35>w$|3`209e!`bT9?sgg0>^SP=|y%zlDHxToa z@Q4?0UJYLVZkmGAQ~k;`<@(3e>bVr0`i6!^|34{mD2+j(!4YrV;DJ7IuXPReCl!7T zwpz9FdWMx_W;Zz|{;pN`S@r&OGM0PC@qW_7vR_(=P4GM-0D96L8}s`vt~>>y=psUb zE50*!&*ti02UqaI0vxeXnYbl`_lAAbcKBrB6AFWdw$3~*lUV@I%FUT-YZ(VHiOyq9 zE%>6H<@j_&dt&V}BQvwG!z{v{PTlnNK>^Rspk?m!^ZENVBeqGF_pek0N#cy>5RhBz z!iaS0lYDhbaa}Gop1w~bNm`J6y@GLpxu>k;1>_D@@BHt^z(8xS+5&D&Yt1SY7X3Gp z?0$C^lh4ZKY@*oo!?aOI7Tsdz9$ zC+igZeq`?9I_7AE?-K2KAxSg3!2oR8QqsFm^%nimM7e1<8T3LC3(qx3E&MH17xz1U zWtP)BuEicb@jAQO!u`{UM_uo)2Bu2 zRhZPqxcO<+i#$2XwEH1n5Ip>_cA(5uNF2wyE*^H^bTIA75A~vMqiHEc-#aj%H?mzl%4~t=+9eW>l1^Wy&m`$WN?mJ@F|6Vpg z)vV08@7jy>$rH{DS6DA}YCl zBhHVhj>Y$yEyBzYC85S6$in#Y)b(eg^i_hF&d5!fLw?PL7vaS#k5!;Gx!7;*kC;gA z{_z!kO&vYvV;_t>5!?quzg#H5m!=qUW%X{t>Fl=^ex2MLUsx`yigd$R@dV`BbGCnW z<>=LEGC7|gU$!+E<+W58P1YmwJWQeDtc#trv^$s%EO#XQBc0=&#ogmj1 zvrD(T$SKLKiv`U4pFb>=eV+b^B3BR=l*BT7YRM(d-z=|xPRh3>myyta5MVLnl-!Jv zrl7IayJwr+TL(%+ND@UBa4!!8R|!l>`3qA!XC%v{=6Ew&m$v^-5qU8|BK$$ z0n(upSB#J?dS&1bpVvZLJs&z1+Shha(MnG=z7_yX);(xSfaR$iEOhed8kJ~mpzhHy zJ?~dMF-V06ZH!)2!mAulMS7BvD_$82HvyQ)o9+j5^U6WS{i_2;yxWv! z3nJN8-y#*h(XY8J9bNza!~Ph{&)$x`9k6YxWDvx}Zm~T26C-~BL%34mmy>a3C6GtwU`V4el^Cjn z*(tBfc@VO`VEKPcpxlzLTx_(Aj=2`S>(kyGExazux;7!S*;ehN8DcEJ;+YY6j2rny z(ot%LUX2T!{@XO_(QFq+mq+N7df)thJCh)PjxSbkm%9%V7htr>-_`cr{oEE1{QJ}v zDr8`>p6uCdRU0f3FqCMLO8J5EiEpITIaO66aKHi$ ziNow^-<)gy`fvfv_{eCvr(*3+rL z$QniZE+J){7o@R%<+xU?wSjVM+ZBSU&1ICybk%X6bcvLBuAB0kF+)-rEIb)njCQ`C z$AQsknjwFy6oCzQG5+i-S#n!!IKiC-IX%1gnP>m=lHV6V<@FTW@^tAtb;mH|T`uBU zRi$i5tu=iJ6hqvAM#}P^@4x-CVgkG3{&&f){)QY&0$RvpoBwCg{%T>%lYX7UCpr}^ zMbgLxlf|hEf*4}d3hehh6zNy-8QqY0rlz|su3)*q9OJp>?qDaDIu{+VW-T^DqrD?8 z#KQDy_rT}l<+mD-S)Xp{jute@+qGPFG&&rD$%V>ew1ds*iD`|4MfWf}vc=B*hC_3I z2|&8M+ZBgpc|Pcfqs^=HdVL&4rp-HGG$ZCNzF2X2N8L8$Aux_EVd{`0MihJc9|Dek zOEOPWWZf&i%rsV;zz=$Z1Zg3~yxnRo{Gl&}!nocP?f6>P9El9J3dG)XP1Tc_&;%=1 zn`1GI6JPgQG(Vyn;PlZh>yv?&W>)34C?C&Ryt5RshWzMfKR>g*2|XgLE=FvjMKK9A zn9B!!Sz{doLOwLnm`+*CCHVM~OWfFhmvL_wOPyU%0B(XvAnE&gaktQTuA=$HE?ca) z?o_T!B9U^)NjtqtcR32bp<;M^wLoM$ne0hNj6k<4&sku^)I{u$9MUk+Co+>UON8$# zR$_lHg9mNte0X$4JsRBxxTK3-Rb3CHF^#=_R@a)r|DA-Vp@#K;-Hhrj} z{U$Ik^5Y|tj4-a*7}$?n#iBZ}2~AFJMkIA88I;(sOuccPc=2kN)@=cP0|MRL&K1gJ zJ?hOBIwzC;BrN=r2_kkgXg^vBcI7-vJiRq@r0ZxU5*mVVZ5<-WGXtizr*yngN0u7<9fKt`Wuu$bcTx8OtE z%EZg^;A=7yw`3&Uh4kx%3+LPEY~v07bZXWP5^bYz+DYucq_R+FcnJLx%sx%zM-;wL zqw-x766_=9K6i!#-jA+f$l1!@B>N8%hs;O0XpyM`mgjK+sdMtXWefMd9b0zIODYXw z;Icx8qK&+W(GZ`9pHLQPffMv*rWmrNArSkGD`Nhibw9k9tRDz5ara&hsv)hdZQb(} z$s#4(7V6}u#w#$!@2aMpdJ8=BER8I4YM(Z(kSeuDl2%ZR`_;{)ugkyy)uEZZ>GVT_nHN5xxq?T=UFpke#1$7u~0hUrK|$GO0}75r2xbh4x>#F32Z; z-69+)qRH0|4*9)e!6}=R2VX!L4j{X;le)@}eGNU6LI;DwI~mXd^L~QbK<1-@;Qzd! z!i$05b;}|8Q3*+Bww1jmnijM75hJ#GpX}U%IeP8>I=B_u^Yd>1STC0RoRF0!Ui$2p zm}k=8l6Y2Eks_Uj0txlGB?TY9L(#!jQ;-R&S!V4Nxh>KrHOSalL7QX(aC5+toAzo( z{LA$MV}LDlwIB`zD6DbpT*#Il$!MMOVs1*$_Dx~x5_6z%i=OkWA1*!;_NFJ))0j0D z%Amvf|33A@fw;@fl$)E8O7FaO#*fZtTo*R=>px+ySy5fhNxdZ z4Iv=I3an^liMbbOuZ2~w+~Dp=7SwQbz2e%SQZCD-_sn-YP>7ANXj|4uPsNa3+9fY@bULv38V$1NrTZiwdPRe+hwnuNbTk zfV<$RsHkjTHN|#;7oOaZ*Md*4ac4DcY6Hh{yx#_lM>4QwJ9Cr zj#heIRKInscT-rGL`i5gpf-KL5vkfeB6?bestih7YZ|Es6&)jB8BGN$}eF&|GcRrUml$3HnIX4Sz>8 zN(;o?oFL%(NxaExSn&$f>zY8ny%Jl3`uxF<3G9n+&{aX*x#zKbB- z#S6g;;CDZ_5OVdzdBZ0>TH&sW0C|~k(uqia7lWg+&uHb}_82mKu~SE)a41=5me4AUg1z+| zP#8d^<_V;U5!%+>fv+0h1RpNSVBScZU1 zjo(oxZRNHf^t6EG2z3C(m}pmingV%2eh!FOnZw#`snU@NU@Bt>^F((f(HIn-f*Y zxzD2~grOm@HZiZS9xq(8qd`j0;kDr*JTaCEE7MCjf-i6$oxs=wc31wm!{2o(bW-C)|CI_RaY&s^Ay=Wz~ zK?;a6fDBBb?|S<)2-&X$&!~6FwDv@8wlsEqQ6T8%QR7)Ixwa85lpJ^9k~%PJBU|;s z6uXC5dX{|1HvhVuc46k{t#jQ&Rh}#Byd5zq8EovTVzS*Z?G$sWFLuEjrFt&kQ_9!6 z(jEj4sgpt6V5}Oqmv%)z6UCZe&%&-U_1E;ohC%I%;V~sc6mI9&o|1A*wh(4ZQ;pDZ zFn-@#U}LM;=sTJ$Qo33pm>`sV`PzRlf`#wWjbP*oi^Z6AQO$O6O%?X(*0`TS)qO?P zjrjHLn9Y-IJj$Q%uIn?~D3GHm<(#n7tA(9u#|&D>+7Ms97S5~-e)jnFp1y2=(_a}c zt{c!8t31Lri1Ep2rp-!pzk<)0>v-LtBA!5G01-=5wA!=c-(oa#ZxJnz7M);@CM+a$ zCGH<#)5^#VsH%HjB?!VdY$K$OM4EgS27hULdpgWu?z%6!t(`BLsT*I+`lMmBTS9s7 zAK<+Wkf2uS8hb?TC+$4)j$= z4&P^DWAe2!3qwd562;xA2rC*5NQ&G)FsUPiHR11^a4Z zo{av(#~BY+eFSPd9|?_i0z@ZL91^B?U^!|8U8`HVg*B|puYTJPp*LMeoTQc}zuRP4 zMA5Sp9kwUAJLd>@=sB_2G>zttUo^WSNAQslHft6zFe`_HSRmoKMSIOD z^MEUcr`R0D@>xbkw_ds$=|Ure3GYJ-~1q*MC8K!f$-wiqpS`G+STMt1ce`HnVP+6@izA1Z7RYJKT{$me1 zgjpZtCmv_^vlaW@Bzr}JMFKtrxRecwg2TD>3mlFm-qrqGqu+54mvIAxXHe>dgiPuX zXV{MFjjxoJkB{g~t!r^jO(K(|_aOij7bYox;$rP@_KCH9XSXd?ko(SH20l{_*5}I9 zUO!9!2>em(D|$_X5P!baqVlQuiM_hFw)b3=@23_)&gr_+3v|By`Bi2;ZI$K%tw%N! zT8ublwY+3%gz?6-=u^pF-0EB*XywNlYQlX141N}}RMuNWc~+P*dMb0WqeTDmDKbiqt@CZlrk5K(a%0A|fe)&N{|@(tpQ`n5;o|)=QV$8Ym#_4S-cBtjZk^tKX7$Bm_VoI1gmn_qatM-T zE<0Z|<;&i0=Z~t;7ZTDsIt-waxp?3Z_|;>!YSVibE)!F;!Ytf92Ftmh{DkR(DRNGh z)AQoxT3t;^=%Kat?cmd=A6dNJx5r>si>}@Ue^@BQ+U3{LOQJ>>T#k`^FvK)W9z5Bs zlIsOwq??rH!I!VS59T$&f#Cp2`>*EB{wiIi<-j(7I8IbMjFsBUc9&JQU^k4db(a~G zv)zgPJ2!{rrGgW-Jz4MPvuJ6GvvtP4lkc;E$Yh?3l_q!Fr}k=bH^hruwfgU_Gi{4l86gyP0U2@C_ZQm=O zapWDz8x4BjMgS{GFR8fEHePyVD-+M0Gw*bwfbpXM_IsRdMz^x2&Cy%7ozR`rHZ|T_ zk3sunp`)2z1(X)Tmk0EY?l0fZl_p4(%({TQ5yKHz5asq#lN$yurFWE?7UV2oN?7g@hjO&U>~>R$kEI9 z72+%IdF97r<6d+wvZ>n84DOfSxL(G0ktiZ)Xm--{dTMRwp_-Eg`O>|T99=ebViN6EMx{3vD+IX;Yp(M{$0TrIEMry5uezU!S zS>_*HI%`ELE`za}H9;25_Nn01AEhl9TEeJpUacg{4>I55L6V|!wTO6WQi#f!P~AL< zr$8SkuBx15p`x?1pex06_B)T1`q!+^MOkctO%}c$V;}K%W_@3$3jnA)kMrQ?=hc9Q z2WVC47c|(5*@8hG815%N;qV0^BKD>ALmqWkUW#ynN!dGkYQv)VEV=p}y$6v@5_~)a zUX|C+=szV{NtxzDITY`k-rC0EYaCyq8J3dy56CeW3RqyK73LBI zhe%~5<^Up$EsND6OK^KSY*IdOAv}2|D0;nWF;}*~33}y>j9%A70IVBC5&t<0P>%tU zcJAyTk@;Lu5HevNP<}5@`^$t{!*wt^NN?QeC%bJ~z$mYLvt~Q*%9PD}y{KnDm2$6p zSqcF}Gr^P2HV)Vy{@2>)f0ptW<4rWzvRsBBO$jzlnlcJ0Yk%msW@XZ`e&J5CUKF~HdQ`Pn-fW_jcUw?3Xx*srAn~2VTEzjy zXy+}1^pfE7$Z&YA_N8M^@399!4V$H@@|^c3 z(lCQ9n!8JDe~q+mTJnN8_pIzkL)=4}0om9&nea3^;#!BX`(T=kAFw^_v_kOyHRT^J zOiZX+SS&nmwz;2tbt*~7S`h&T+H}6uqQa*z5UL-h%GwOCz*R=@bpkBx8nd5}i7P8C z`h%<<*#dwmHM&4PRkAF2_y=DApO`76e1J!V}$D` z@Qyghtz5MI+9VKXnyRuUs4|MdBOndjcDMqAGA?Rl5jFJE+N>SLBfp|gE1$4e)|tFoT?t@aIZ*5_7?HMG`6 zlvrEOl8iIxTX{;ds6}dZQ9u=V+e0OCb`wVnIy7Cz>{8lW+Q9ypxSJOCc4Mg$3+97J zA<18+Rcs-|y(N71QSdu#{0cr1qjPlScF@P#AfEa2!tdx|&(CB{s>_CrzXRRg%pS3? z#<9qI))RsfAej?1A+T+A7kcSqS1{7nH@PcE~l=sbz7k%dP=W`!l_(lffLkG_&M-Cp&_hIhagH=7o5L=wOw>*g+u9 z981=?XR3*8k~99S1Q68Y(2vLSZcgkylq;>96O=&yuW@po!U{4xTD5Qy{?#OX&RI6thjc82%oFM z&Vx;#s?h_sMBZW949=YUAD+-Y{Y?2D`EXtM^5#_*1y0AUPvTi(>krxmT+>BL_xf~W zS{|M%kZQ9Unm>=%IZQPi>&AEYM}g|dp;E@qUtBO!=uoPT2#%-y65zAG7t&GPWR`KK ziO>z#-GNaSB9;$ZBJJ;>DOt+4W#Z+AwTtU~|E# zyK$Fve-_Eah&c~GZLW{5!K`t;($3vDb(|4LO?zMSfqYxc4a%&CUT6lMY`i#ugOSIv z*lPk5lz~*D<0N3m7l)ln2b>>*ekJ$CUvGCH-V-+YH37D^8?W&i$lK5v@9xCURwVr9 zj>|F3V*dGOk$@s9<->AZy@6lT^{%VqfNV(Lt%UwmI=Ws^6A;Sb5zOJC05z_WRdzH*l&ov2-~(M-dgMx9M|tyh%gs)`q-PHmOEFYAZbI`$ybqz9 z8I@+5BW?p0?>x~IP4Uv2*u*G4I9}W>15gpTvoCNS&{dt+ES%xQt@D!gW)v-%c}UK4 z){b0h=djOR27El&WkaD`!mM#~bMuSvb5o$o%+Ai9{CpYf zGn{80d+*Qo0Pj-i*J1K6H=JwqfjSU2k}t2{K5`6nDe0O!q3#~w^$&mP%NXpbar>;D z>EvZ_;`KBC6Td9J9Lmq-Q{BJpQb5fZQlT_)=^n^T0P3$wAugBo(F`h{4Q>OlTN}t3 z{%%!)0p@NoXxns|Ib%mQW5=l~_XXRkW@4ZfUHDA2=ya6m^t*iz3xv3DVBJB`b$E09 zOOotbgE85ucr{M$-5EttggX@{c3(KVTQPH>+89+GFt>K^wEhvr)hsPfr|MHMH;M!L zBf2f!ybB5^U4aDV%T5dJZ z5|o(oJU&m7;kdjEAh=awvmr8;p!WidP~lAt^ejxW0-?GTeAd&;ui1ZB9xDhqH#Zj( z8*6rYo@x=C4rI;$j*UHsQ$r;8tH_rPk{)o!!Fd|+fAN=F%U6o12I=yOK?q}nJ{bwp z)Ab564qB#Q)=ugmHlmkyM1DhS8xNi2=sEk|>VsmFW!&?Ce(vJTcd`n@EXv~L`#bwO zB(7hnefUi#$TFUlD3u_rqg3aM0jT!n*y0%}0Tv^iL){(d^wB6w&(@0yJa~$=oXh=3 z0{UZnKKp*egwQ2-Mq(G+LtEI|tOfc3cw&=hq-#vm5W5rU@Oao$-^;nc>mE-kZMpsETx^B%PUo}KxDl@WVv;z z?l`Dcp^pRL+hPGED@a1_)%)GIEYjXR(&(YZ*HrasI8-q`QZjY--=4WWrxC9&<^N_m z0WJ_efDKH@D~1dem=lDX8#`EavwMd&(d{!9}FtQm1d4VS&n{G z?SHn-1K-)*eT6}zu<46F^Tga-Kj_Yx1dbRCRVqPT&H&6*L2g**l%(xQM)~JUCeO_w z0pgS&J$z^BR%ua7zHzO-aaKJhtfOABDG}kux{q8^`}Anf^E5^>%7V}7)(@w)-NO?< z4m$AJHU#F`i=kMXhH0dhiW-DdGW+PH9KGIRR&nlUmNHJ*_IGYRhIAPWwIyKFA|1+ z1SKj&m_}h!QQ9HfzXREl#*N;4#rT_%f@gNZ{=>x49m7#zR5BlZMY{7dErupoB*;YWuE)%DP7i&syB$Mp=?Po|Pq8jkS4t z;X^0o*WEnXl5gGj#a91f-KlGNDWZTooKl!cTPzIRdS3DhSHdPsoo&>6z{k+vM$`3q z5Pqmwae@(pg7xxl9kFu;3ptf)7#$Rz$^oqj|5wY9Cg(UEN zm}27M401gGLm~oAHvBmMeW4;fHGvOrtT(7b5{uXe;*1cZw#uJB&1&eVC1}us+yC)T z%Kh$kT-q9I!FA)udfwPI#(jy@U$!Gj zab9{C7eRe*g_2h?CgM+iBHZTcDY|FR?NR&Oh1^;Dzzn207EqjBlTX$j+wM5E#Y=^i zp_s#h-QRdZFGWAglssPa5>ZY+`Tywp>!>KS?|mFsQ9(gKLPFviG}1^2gM@%|_s|N6 z(w!pRQqo=02qG{vLpLJb9Ye!VL;TLb>;3)w^}Fk?<+`qQ*UXu7&OUoT&$FMsMHheU z@A-C!L@k3a>$x}jVz+?30Ur9 zdDU*y3tc*J8rIKQK1&cEj8y%xZC4CT2Zug50|YseR%T4wSRo&}iEls?pu0No3FkOQ zdhR&$@31^cg(PS3n;+T+b!JDuQ?%pnkH4UfJnsbo{_3d;i*|KyxzmHDexZj=ukT-8 zj-rd*B~*bBX8)9C4;00{0zuh7XA*kR&>#}<5M9ROtYP9&8KaK2Y7hTPbGM_Fdx@6y zo#1hF0u?S(`CoMQNRH(aW9MsG{l3q2n>$wxl6`lCF z`dian9CwDS?8Z3+ctrCtC(rs`#O3j}RWFjR%8R6v8_LRm1)*$^`nG$<-TDWXh4*3` z`e=4@0w#pwV3+z23I*6G(9LKhr{&i<`>o^lLca*cEXSEQJTI14Z-WU3$F_X2G zv+vey^)eI=Id_F-(|72Ea*0YjH0JbR0oDB;$<_Urx6|Lm%3LK9iA)jwuV|d9JJ(HLVAS_rb=>J~*r-M+2b&1yQV8i{o;*^!v+x?Q)b)`pbabS{(tYiO4Twdk^X$ z^*0S~>_UJ1j2-z&QmM?}fbFW76Ub*X!staU040mb;d%t8&YpW@a%V{*_ak%6P})A0dC|wJs+88@*meIY(Sh4&@eE|tZZM4vH&B-gRzZ3kuWFrmrcdW^QDcz*t z?Y8PQi=L$b)jPAJp=v$zRMc&PkdXBwiR+yP19!Lco*@h#=$I~P& z?z7hto}QCZZoP}Bi#Q`ubPVGk2?X+<+ARF+A|>gYM+dN?*97ZDW|w+Mfk5-2acmjxv=w{E6W7xD*-f( zV_ScEw|J~4WSdwdK-vtHh@*O*$vf^luH5bD2Gb^QOtPm>YfPP+{T@9X15+%J{O`2O zj2`&oXLv+vwgy64^X4}o_9fUqdPX!jCbis2kg=UHpcLSEt^0+3)q4H6cpaBSE$qA9?sy?=#koCf@6fsGavf=I0I@6rcHg8M}U^ch=VphH_+UFV7I56fV6%CUfm9F$>al1gKWq zg)a9V@oS?>(YSvcUrrt`=bd&G@tz&>WHVs+qV5$VcyYfOFp5Vx-)}El3jVn4#I^QO ztw*|%>ENHQd;GX{&jB5KpJO^lVAozJYFIXQ^wa*z-eRa0YM7G65!x?Gd=L!_R{+wG zykkk(TnG1&^ZoiG)FAxVx?qD@q@YXO-fSKG#I>PKM)ggdw!wwL?-7Ruf0uPv#1|zA zIW@i6tqf!y>)$^s1wCip?KFkhgN>WlSRTeE$S_t@J?qOV-Tqfl+^RiYN&GzdClnN} zYN>b?ra8h?V_A}Tg@$7gip?8*X8LS~TT1`{LSc{>*=WyExD3M>R zv-UNE=!7zy3JDkg?MX?v+-je4(5Yl?cb;@#^BOozX;67?yM)m;i{j36Zzy_%NVn0j z1ojD-b%%AQoPQ;1m?{xeJVkn^kric^NY+K1_ZlP_5$L`9{5JKwXrE3jeg~puhY=|ZnIWedhbWyNWlG>rx0z{e$c1zQGjT2y-ZEN}KI0cZ@09w1!UWb~I;2esb>P;aDz z02=`rQLdXtq$8R147U?XI1mWEHnOA{J|JbIzCryLy3mRUkttFdQEQi$iQJS9mGDZR z!u?}s_Vr5$p_E^z)$@KU0f}^#M|=@!i6FNZPK^dHrgEzQKnTS3)VDnBxnw-!zR`(w zlH8fT4GW_qf)kpxQ3m|WCOkJ@aY|YU1c8yNWlc!6PS|ly$IXBEkw>SXY07%9hPt2d zN(W|E7Zak*sbZ;tU_|=~IBmU^?^D-`X10-Rh=OnqASQ@IR$Fi?$O0jA@{FCTLX;0{D0DYoXnzo#=vXp)G;lQ)s+|mq$x8xOvqt zOml>ur$qaXQ5{3JWY$BVs0snifQ!17-r$+YDV2aVU{3;7q_}4#@krFLpE+Ugau5i7 zmiSzhz4MKPpPC8Hie2fPZgH}U?2QQrwezDZHA^erqSE?Jh>rBO_`yjI@;s*W5~UaA za@AZ)Ro3h>^t`Rhb%c|yfSPp8g5*^Jl|f%+s__vIRr|C+o%?}Ez!{nj?f81x#Z*#i zHbje_ECoE;`ynXi<7r1~P_u!!x3I?xN>T%m%iG!8{{p3Iu!Cd6Fk0mME zPsBs%`1rI}?bOv)^3I}6$BHz1d9(*{QC+i%a4M|~-C7FOSX5Gq;SHY4&U&276ZBF5APwUMnWSzg4%JF_#N-Lm}q3yW3Y3VkG!NZV6ru)1qfimdg&k^J(jYnDGbUYMiUu z1-pI8g434DSc;f8au7T!fsUiCNpta{+rV->49pd_mEt)D-q#MBW6xw4KBJ4V&2~0o z6Nw^KU+OYQz^A1#75D=704VulF%4i;4U3{zG=cXb$%F`)nu}+nH;cO0s$Jl_>)P82gmO-pMn-YBW;hZKq0ri{|vSZ*sf*s8GJLDaq`+ z;N=4}^I5S2m4Zj9?RO7YRPQFi;V>`iXpuI$ia);y1I+EC?ctrADt-Tj@4QO6B;#Wzw?{&t^yhyWaQK!Z7ler~T*C3FloWd?L~l$wH&P+nfr>_3$r+wO9;z2#XM7ze39&ZPX{)7p9ice}5D_weYcgnak}@|u!z z7B#AHM$1rEEY&6xwj;M6uJ(POIA&Qy&CtxcXRN%IM{x*Ldj9AMXxe2x;;dbD{ApO> z(pKq2Wm{j7Fh1+{Z4BN$n2b#3WNj(xxe@RnN*el(>yPUai~#YsG}q*Pjn?_s7{KrU zv6yzLlN|IzPN-l0-4E{G}U3DXdEw@?wU==G5)Zn4Vvlb4hu%)FEipsJl1 zRr^6+m0w@^?8q}4Fl|r1m2U4TAKqm+drlvV8Amh%m$jcQ$JGycqy|45sD58*%DYmr zsN=#~oSiBh&LxlH4uX4U9bNtS2Yz+IGwa^t&6Jv3JAzCdG+chO7Xj&&o}ux*suqsi z67d%m?Qs{qbf%gYSbc9VJnxH4N!=t6dR3_c5t8`9tt`O(9yzL)TUVD%2Xa1_l$@>W zV8;bfW;j~}yW&~vGKKgSra1tS2Kv}W4NE@*4t|TGd=qT(<*NS0G@9p`6Jm>st!~aA z>cC>A{*`V&Qato4G134^xCQ)HLTW?Yq`Yd`RBr0gzx{Jy9WDn+W}ftFQZ4VPPbe2r z9?~nB-rU(&VH%wE{e@}Ykpx$z{!N}I#I1u)NQzo2z})m~S_(963OP~q7p{An{?}5} zb-gt%^743qJYN9c-^AG12k1Tij*s(YyS~wI?O)tGd8IdldjtfQ_&l+8a)W|D*U0k2 zK4F*!YYBtYu3!V16a74yiJhXK{Rbo4UJ0z&9MD<6#cEILln9u}gBe%Y@5>t;9Rr%r z`@N+)D8Ms#BnL^v`AXz9c%qDmw5L9fg5K?0n;Zj_#=gX;9_Kd)m+ zN+&#{&si>+#fx=YEQcewN+yvwJMO7stL-4bO$|0BS!x*wp3T*n!p>)~t=Z9U(bECC zmjn-QF|M2wc00AE?2?Ym#l9YpvGBL)dU^}L5TT32tHmcRPG8eo@xLH-@wA+Rf4@g}?x zbUbDyu=Z^Aqx^0i`@sN}XTj`N4{g&NySiXD&J0eX;5|hZmV%NASJPmc7)!Q>=pu4e znNgA7J?U>J9)rERPghO>5C1gKnzvLhQ6+6T%DTEeeQRCXP*#?5u>?=p`y6J9vy*%r z)$bJGIRGE%_mpLb&!3^%9V*)}_~^dX-E+2)=`{IK7KL8hP3pa~wN0wk&KA{Jx7GCQLurX*t8s7sw+?EIxIop+}1{C{}uDOFb{ZYpEXFU z4ZjmrYOMuXY1-%~HWM|W5G6Tz=ROxK_!g$D=n&;{DHWVDWTft{PCRYfDHV8P)13BS z{5#P=ip#>;D=}6hU9DbKV+xM&Z;i4mEoKRg$$z@q>2NEh=1k114{7(_DMrzou}9L~ zCp|l@S?YWAPXJQ3&)IW%78{SOXg8jLRned~@AF$dAotVXdZh;lEWnAQFE40Rom; zFH0Pw6z6Tika8ZNG&(<_iTFChHL0bkXM-2U7o2lp;HAm@{bK2b63P>eT||rfn_Dl@o=~%Q@Za@5bV>mIe|kbSpH-Zx{AXqN`Vg z&IZF-fbX9!(0XXsN7Y;>Npas<8RZ^n8wkc1QQ=P+8i_JvTwpL)6^u#d3f3GA z@SWoF7d*-Sm1L?9@D~Xb8>S2Ueb;maN~0V*N;pZ*8m_{=Us`R@_TfFSUGRGW>)G zI*vn0i=VW)N|0T)qKsYphXo*q@ssgLBzTuAShb<^x#P*YST)x;Ow-RHXWRcQK^s8^ zyJ>>BEmndk`SGhiQnRl9g-T8c>G@6Hd$K{TMI-LZJ16E~FoLWB9{3l4$EJU^R9T~C z{0P;e_`)ZJZBHQjaq{>%k$(hD_>Q5&2QZ3SYl0Hpni+@vG!V2bJH{%i8i5X(H0;xApIW(m$vSFeg>vN}v+$ zy&U4MG@p-CeK>1P(swGIE7UB@5ae$1p4u%{Wff%{PFWm}C`O%E#ZJjWc3wCi3cy`w zGowjMQvBhrg_ak3nqR~a;(%zR8DGeTh z%Z+-ZepVR_@&YxY{J@;M4#Ac^)ZX;-5_iFF9$k$b)f6h7D14qMF*5#Z3=w#XPDJpw z;F7fYJfFz7eJSHE`Lg=MIL~UrB`LRxooh|xm_Wm01nBmN7(wrXYy-1i0HWz8`vvv> zIC$FLIBpj{SSP_=b3NKLn1-c$HLw ztpP;-LYBN_?J~hh9N3IRAI2p%|2}=3lr{=JZNiY4?Ur5NE-yi>WmUUeR@0(leP@&p_XP${>U2Z->(vmHtIQKZKm6cN@q@8_v@e)C4^WD zagI+UhTlU}`!M>j=@DlM%sfs_gY;*(AWLH z?<^bLm`eUfYA$$qD_ZPaO+jz$4y4kj%_SkO2ol*7)u*aX#{DQmmD6|2OS0b=Y6-!G6`q^3oN_9XL15;!^r``Xir-$V?z;sCXk5}42xYXcfV#12< zm%=xsCCkZR#m)6Ayh=W2ohb|;9$Dq~l0GUJRjt=&L)3n*_HDbXEwI?I(DTX z7-^M-%d|2vAs8VVwu#_Lb{35m@M6f`-BuuyXA6QON<0~A&GZkG%Z`eVDViv@3#y^m z?~0U8j%ut}H2hXlW_s+uDm}N@f?nwh#pAtUZ!;Gvwd&LSx}Nx@sCY+6Y9ngG#<_p< ziB{_Q^H&Ab>C1usdp)00j;gV&xzW1>NzN zmrG)ffs3dbLoKV1jaIsbBg{(P&KJ)IF+)t%C=;fM8gUKN2wkB~CV^qJ*Wv;>X=C+C zpSd=a=h40(-FxZ@c|Z#;$x&gbUZlw#I9c~WrC1gX&z*!a8w6EqV7NXz4T&Se;R9u7 zj}24x!r+{BEJzVIa`gL)yVhwO3FJNHZm0XfufI-~8eo7r47QvIm%Rql@p(k}b9n^~ ziweWlD_hRwO1cb&?dMwn zsaP2xQ=!$gtyw>c0ksLKMMDLh*pL-wbCtK^R61#xxyE??k~1-ObYDsq5Y{X0(EV(Y z?A_A(&(Ifn^v0T{_E9e)^~jto&zghUKJv2h;ikA-;fjOA0kh1`XAaSO1k?_k9w$y) zTOQQ1;Sfngz67X_?|pN$>zM7$u(-KW4gU{H2PHBo6;+B&s@U_UVAlE$Z#+oHki3vP zM&DoE>uc5$3XDydzZ8MJ^g7SFmz_rPgbUvMF|?E`wtxxF7MS}mB#eZ#Uj>M`?$3Ws z%=xapQV^UN884^O4C5QoE8h|4OCp`YZo{?ZOF9(}=_zHaWxf0Af3;}07TrY9FxG9e79^NeeL zyXB8Lb82gKX4+A%?(j%MKQV}n|!W)Yw*_%FbI#as{?%n z?z+o8KrG}auRj!0e3+X53PW9vheqD&Qzl;twR$PV*hLd8+}eA81{pYv9BMaj>%P5K zzOty}MhApcb8$5%2}k`T5`G0~ z)iZ2FRWI!W@&#xo{n5bM^5K6tCn!ojsP`a{afzYV$$M#yNT-&f5V&5Y@*^M>Iy|7 zKBW1`6DUE(>)lZ}$%;ldQ6luEx@{B-=CIfxBUrBi~^;I5lCgJA;D6k9!gGm!}k8|CcV(qu^I@5ZCmdl zZ?-b9wV-NU6AbFgHn$jUmIal+h5IWI$+2awDs1@5B=Djx*S@OadgfFf;ac#Bkwj9D z7TKI&q^1S6Ce+;B(G~AD!W-N_Sv3RA*j3MmSo=wMfF}W3_aQHcB(iL{I8qf{0aGLO zLC-R$op@*yy51Mz%D2ErQ4m6W-GU| z^&O8Co_qU2TVUK{&*&A;h-k-v4*FFwiTSy*#P}?TKJW^T*GhWu&IQpjm;I zUVQ=WROJz+Sa`$>_S&}g!)4f`c$1x*p5fgrhEcNeT`UDI{6|A+c$zg{T} zx9e%v+P;w!2Dj}fv|gXDRKm&ygOjuCRZJS#ptih4(7P=9p$(k4I|fPEmT=JS2L2Gm z69-W&U*-9zdo973EnV2iwjL%{g#uS|7E0+Qg!jEcsY6mC)06bm?$m-!gIGUX9=e%TN2R&*4;I zv{DPFl|zdbw1KTqURN_#5P?)?j(@3iuT80fbEN4ZVlXYbDOlT^O+WkRPldNAg-okPDI`{eEJ?eGN2MhjT1|g%{xyOB}qTNQRxnOmffTh}FP2kx& zczo>`R(hNAXOD>dO9EvJWvR!Z;%LPb5XZGV;(dd<#x?OPzXir1IbWznRsYN4aDsY| z4}Q{cl-4Loj5HviZV=OOd=t=>VsDMDSk2Ye!Phfy3owdLE5#V}=toBVGC>Dd=k^4RA=dr-{IYn1kAeX!JalSPe&{^JFNTUpn< z5QOW)CG0Q7&&JRDW^{Qe;1j7Nh*?hFWVu6n!#%=QB&f4ayYc1|g-j+^UszC}_Y8OK z7N8M<^bhp+TH=Sd-v&}?edNY4AasPPe$kn5UMH{%YMhTp`opw7>_#0Inv?egYJAuw z7(o=Muy}{-W#M>aH0f}ywXNoPp5QlIL@WJV!dem256An;QBav_;DRx-0iz38KhpFR zPM<%-WO}rkR6o}f4L2Dg%>^mz-+02GVqZ@Aa7n_Pw|Gfr{A`;z4#y8l%&6VXK7+lY zj#eMTQzWMWU7S1U#6^jNc1u&9gpOo*!FpZnn}wk; zk4K4eGpy>v&rRO8j?+(kZg~pm{L`?CPHhZBfyH$cnzDb1WZQmwcX~bls+z%M8 z?q)V8-G6#0lAIOn1r1YQd+=(4=W^XKKs{*TwA?t%P4XxTkCkdH1_M5%(!6Mf}KVz!_+*hMC=Q;fT+wsYx6hR7A7VwN87X5Sq!GJFu_-R7KYf z7^DSTs$&22a1pZjN6(sm$$e@*yO%i$T)!j-7`^dMq5GU9l{nclDu#D$mzcqQP;s-8 z^5$NCpkQ-K?~FmZeQRxGqXNEIe#iCHT>Pjck#=Q(&)oOo&^p9+S{b4+Ai|!69jmH7 zCOWv@FcWj%!GyEgTGAdbl7B?|fD;32rXqTURdab)R?qELf8mN*YE&EqedzJl{BbE4 zs#jAo%gf7GPSBEOFkOJSU#fxly4JzkTjw~n(V$kwfhvrX?KYm%GL`b&qbVHiZb?Eq z<-dInZQ&}gjHPhlF7&@(v4eW70N^|Zery05tSAJ-rCQA`N4aF=zei3wHeK3Vo!wD; z@AlufZtA4?Q-t_~%&XrO{uhT2Lh5zd%#VW+gK8AmKNgZ2?zW$2b5f7VV$!H{p1#b2 zVHP%ecmcwa%X9vALVZU#J71O37O{@qm|tH?1U z2g-CX>};dNV##d6?>ha$SEticNumY?+gl3SW${`TP`vRsSNcWFY0%~50aT#dpzdww z&&vV(N6oi+fR;nD(RYZw&b>s0i!r7jWc}H7yb$LH2yY6PM*xlcW4pLWk&7l?)5`IfA*}T=pS!w0^C{aZ4#d<4RDXWZz zfWh3pP9cBVgnYjy06dLQbb36J5iRneja{N&T?7?vZGlVDmW8`F>}Si*;#pPOOw~4z z?3escwHhb;K#n3{<0x$s>3PAy&n}!UO(CJbX+F51Fan_yF z)$p|m8peMn=1!WUdg)=IVr_x5AC(Y=An$nypNbRL#yO_~aVstQc_L3?*lymPYLTs{ z8(&8?H8o?yb{EvLqD4Z()zCE>o_O97goTwRJT-DMeEvZig_;px?|h+;J&+p17Zc+f zQ~H6kTd4J);J@)vBv1p8Z&r8-a$H<2NTI>QPAWl}qqTP9Fb^>^)3g=H$IdLVIFT9I zGo8qPzm(%nC)|;Jrg1r}g=y>9YNp}L4cODFS2=F~m(;MQ2cfNIR`qac6r%>T2R|#Cfv-G|;ZJsLO8`0Q+`+zABWO z&iM)F`hgVbVFncdAFt5;)%LL4&HdRK$Fl4Oy7)oLBh4Qx1JqIE2559HeV^A+P3r{Td{{(Ek>b}EyXGQY} z#^mM6(sS-*F8kS1f;Kf_%LI4XRl^XvPAXK~<{%usSs-WUgk27cLX!i)`;x z2pYXyF0O%!sZEJ)Mi6rW%LTBy_Gyj_rHjP>$=`budC>hHy1;yeaKrNT&3bh7fPm5x zrwQLGf+My{GK#PCs7T@t3n0v>)GunZum|Z?*e&lJ z4c6P}QzzS`KBXQzAa$<;*)u`r)nPQtUINcoBi%P)&eB$Wh_`@V?`6N3{lXbb<9be5 z)?P?_G!>W$)D25ehIb4*X_5g`k`a4^s|+~dvd$@uTU+4Eqs0z^g0(v2{RaKlg0KH8 zl|gMYZju^9;P~|VfLTz$Re&u*4D!I}JJZO_48gZQacxtiKD9~@_3)$^{#GmT6_Vs` zY9GTW#kx@=7rG3-B$cmKJB-4R24Pz1&}^0`V;9SjC&BlQ@V9LitI4o8TLs!qb)`&d z*!t{^4wLUJeru3{T7X7R>pnyydkF@>6S-ntCrZqoU@y7KY0>PZx``c~JnoUHaIIGg zGHlBd3vhe*H&>!FWg~H4V0$D-O2hK(+@`sEr)@s|(wY1DO#+S1ozYztTEEwVwmsJd zo&muIBh%VzG>RxP=B*Uu1S20=jGvgqpekT;)BZ<3Pn*4qj9?;t`S%_{-krS9TlMz2 zqA!%F=AZ1>ESa!aIOl&afEvilLTQTcI)o21q;z^sQ|E6QrT%KPh-SOrr(tlR!;@`0 z{k?x==KZL3kCwhK@>JTY=ZnPgy_~Cr9N|kl*6Ky-D3CR8?!Aci!!+MET6*;G9$xD= z|DLxAhn?kdz7u!^cHxO@7{_WNuA2wPixxq0s9JKb8!BOY+akqfg8_6oKkyZat+NCQ z2(&5%*k}Qf-pN@~n(Q?-i)A1mUz@+FO)WLjr|r0=rhf9rhN0HZwIOn7e^j>tNMO|STB1?wy|z|82>OyTR$)AO&nIs*LRW17IG+L*c%E0B;J%rYPH&uM ze7_^~37L>{iqdoLW#?~>uV{`=mq#E+{;`XCWxF}~n>RXS+)~?BIkd>|42eLG#RLDu zP=DfxN4HF&m93ycWB8PgmSx{We~W2)20xVvDpnlM%WV?nkO2>xc?kz_ApzxBjFE;GqVi8XPM{$MY7G;r}q z?};SqHSRZ1Ua7Wlgu& z1;jA5f%>|BC_(fB(gn;3(%|glv6$)ra}JsY;}vKJnyrc|C%bvX$hGS= zYGArQ-FL*58y_NUGw`t`Gpm8lw$%xypb2Hw9Uz`rb--ugNdSM(_lyzfr^u*(`Z&ap zCJ^|SV7hS{v5^s&gz=tOCdhXP_Q?3N>#9@v;OTbjjX6; zvOfS%`l^Gi!PUfWEnYva<9cmqA1rjqUTq}NflRrZInnW#OJ@JQcgExYs97VnDbq+( zwVv!~^Tw`;9zS;Nc(^r>+7@%{?eTv)idG}dW1RT{mp<@Hi>La%y19e^um_%?fUBH+ zN8anK!$x< z6M`kawe$V2os8x8$ZqZNcDd?*I*!!^sIiOmcyj?0a$q-D!%efQ_Q-0wHMsH4ITd?$`dXM-#+H;#(UmbHy94jG?^J zf`G6N5+CEE&M&4eug+#a8Y3FfD$8lR+fbc^n`_2X^0`S%b?0fh+PE}{%ICH_BU4De z$Dy?2HM%5(fM&Q;V=z+Rd*DjpbI0Pj2g&W!!eVUpcn(<=o4cGddS(#E`K}7^i^_kE z95OE|t+}YkoOTn|x%^Mg6DyYWYfirmDR(;>;ZhSpz3W~`W&vfnnyBlf;cxTxCnZF! zUJ&s0zYAJNPX)?%q;BVZfv6{Gd^nDH$`k?NmSivs{d&L(Z81tccbg~?BD@i~p<#S9 zZUUNW_e-vj4fTV$Lu@zqs){=<$Iz7G{zA~@-Ipu?sQPhS+#hJ#6DIPOAFfy4)q@0d z*K55uw$M>-5lC(YjLK?0q7EVQ4>&L?8F8b=I!$t>`t4BpOq&)$U78jG{(eKN?aSDz zA~lQTE2(-%I>F8%mqSq^t~>AgRV@>IjVv(3Y&2`B%fp?{Iro28sNY%rXf{KfapSm-GT+gTK4$LB^qCd=Z zDi{Q7eE&@+Ro{peos<`uYvsg#+r;Pu_>20YovWN!|33CtqF&1F{G z&ses0__lW67v_%(FlVaA$m?Yg2tfV{!6E z8zqNz|M3K4(xj?r@wH(I$fmk=4+@OiuB|*-;z%Z_W1cQ4JQRj?*;mX*{;|W6+Hif~VEHx`6Ssg)OdP zn33?qo_IC$Oq|Y>5(KY%Qy0V`m-Xv*Ts*f5XJUR~=~Hm6&icP9CfNuHzQ&fAe2&ge ze!mj2G^@$c|FUAU0t`u5F%vjnsC0Cx;>zZCZ)O|W$kQImh9Hzy9C zgfW`P`+>Rrg`w@J`?d|An~IT|MndnfD3Dn96TSZ!6p|ZE#9~T1XR{GgO0{2O#h*2v zgin$wlUW!Pr197|cLQ5c-028YGn(YzM z0Y`0*`H&72Tj?)#29861rb?ZEa%p`p)Kh__Y&$VLcWn$lk0u`MtA)NLGf=a}hbj5?hsJ9Yr7DyrM8{|~gi$)?8R zb@qJDrx+<}v^Y$yU&F-FqE{>L+K%I<{^GaN(*N=%ebWzBp8Rb_DE))^T90pMr?c-r z0f;NW+LMuyRri^g-4Mc{6VV_}O>!rk>3)=QV(&URIRB*(rsw6Oh$b%Lyh6}o5dXYd zl{*Y%_uk}QTJ^Z4%%!w;Hcgn3;APUMy%bj{~)}20m_IElZ zUh_lhSU1Eu#=VNV>OYYU+(XTSLif$(xnkeM&sUEB%gVqnsd`ycQ-cbkHX&`xon5Cz z8~dSe>yzqlhW|bAUjArH@&jH&!B$WUg8-+OlDb*u*WW}2fBt}*1Vx8TR7T4AfAmG} zKdjM)!LhA1)ilpdKcIh0-QO5B6T3Mf?_^IyVeZCN{p<&gd zdgY&=KXqMj=?#z{sIde)_GkvIAp1M`WMgk~#%$?W;PlZ8JYPW923AJ@?%SgOeJ+W$HF5DDm__KM<+MV-(AHDfsaEx z3b^Y3jhgptcRT(>QwO>+VR;XQfQ^liocxdd!brv;4ER<7St@%Ix!3UqSRVC;b z5l%D)N-~JSH81ma9HpP;W3p8>JdoLy)3kMa2_`eiR)^0bUh3!?#G=1iywpLp7~k)9 z|NnUGhqc!G_Ng2!vu{H`#JFb|oo5Xc_Yc%tgF+D}rCh|dp<)84PVSCevU2Xb3|)7< z*bck_09^I{hSp)b;V&}&r(nDV7<5@|#^s;Jch|9Zl%8zl63z69-Cr<6AT&}%hSK> zBGTY>MX88aq*=5_B_`6OB%k#i*G7WQ#Y~T-{GFZ^2X&dS6N-*Jbalh$WXBP=-ngJ( zDR}9T!8Nn&9Y|{n3+sOR^T8G;cjAQ$=-7cV+&M#Q@BxCwNI4C5#|ij|oo+iexO(^Z z+;H%KsOB29vY@~1{hq0mgym}Uw!UO`Zr*?ivH%ya{>0QurqFEq%uK#zU zTer4U_*Xgkm^K{$=)Hc!6Li@eS<#&GDx&L2F4w6opS{TPusu_0wzW1#|2?Hl%0gzI@W(cW)W0--n+9J+M7 zraRG-W-%?5e%xB3YVT|B9<6iAGL^~~7U!1Ju(%N-9MWv?Hno-ys1B0dQG2~;?WqG>aYvoW@Ae&P{M|3 zJe~uf`a|Jl1sl+*sao(l{%YK|GrjBn*G?|LMWIV9n@|n#G6uACN9FRNv0dxpr_Cpj zD_QM}K6GSTqClGn=?n**JhiMDxT|_l^PuH}eWXaONP|Q}J@jS8$dYSba%vH0@LM zDIq8Gp3zzpX;00gxUqf+ctl!Ckqvowwer3ekOOaPiQA11&9pL}^2{zok=Pw6o? z`4RQ~OgMpHOQaHm0=ydTN{g4rAtcT-CCu0w&S8>4nJ7jdUdgmDhV7&q35 z&fQu$rc#tn*(2eAf-F9$=`TK>GcIy*Ai$J-X)_#NJ*9@Kb3NWidvbR(pu?nyOk$3i zj~o8Ja62>8t(*fjFt?M@ukBfkxADl?2G#GG(UYkG0ws`5G_sVBl_ceushu2EgPEJS zsHHYrzdT0Uak>+MurA2a*M8s0yxA&CFc@dZtb^7Xkbs~)aw{mYz7D9%!NK2%oSun& zrR^YX=Uiz-co+TQI`KNf?2+H*t<4K3H9me~rOm}i@K(9w8U^5_*V#nX--Po)VD0-s zufr=HzHiD?!aee8&Q@xX?-@Dhvr>c?rwJYOaH6LlKYIEatt}0nVU3sB|DV^4wBG@6 z@aN#?cWEuD1JgZ6ilN>4ss%ar+k}8J2EG)}^C?^xZ0I53gsJWC&HrJ)O*j4C z6(bod>iXJJfj%MR33f=B`qTbyEZ7nZF`Dd&@OJvyf{$3wL+)&QB= zp2*mB#&-Qp9)m=<-i=RIR(AAI2MPrSOh>x=N9ua+G3Ze4g8T$NwHY+vm8>Igp?^JK zX7Z_-uMvFRfL23bGkcbxz6M}KENk;Yu29ok8Mh1eDBjYRe7fWM+-U2A{BoLOhg2jB zCKo1g?=$n?+RFGke_ve&@lx;u6_}Ot??h0rIDSQOB1mVd0`!7SRdcvezaChrf- zo(5k+w+T|ao^+DrUN%y~)Ck8gbm?$4Kad!^!28o;-os@lfqNF~HW)BKE2y(|5aaj}I;Tyz zSv)Vrtd)!JWNDEF-f%825Zl}JoAsxGyTHuIJ-JU39l$a+nl1Kn@&ZisjVZ*H)B@dd z^tVjpjq^Fjr~4-AHh+EH{LnxE%-D|k_go7syMwcBG~Jwi1v!6prLaWGka#iQf>dVG z{_bY1!4H+cb7ub<+}82^^T1tDqp_j{+}+&|kx1yUd9G4k0jvQWwP!w{Ni8O^{T2M7 z=Qy_7c)OAUy|5m|8EsLSzkB|<27>Q7#CU0p*ox0S;~C!Icg$PmwOuLo`Z0pqY#q9W zG1H)8WT9O2HDx9kC@Gi6o*{%3nN5QeeeM0o59Vco&uAImtL9$eX*v%sEW-_cdkrL2WPXcJ@K_caPhBKwj= zF(~`kl06~ISZ7A|bubu=<$q80JkR%c&fl4i&p97w-uL^yulu@Q*Y>(JCum8V*e(B@ z(ji{??73mm16&M&E_lVF2{jvh8sXSt^nGCP^Vb5`A;drnIG*SG4qAR4!ucCnZHs+$ zkcn{0p}38R&6KL!l{{nJ`5U0-Z91_HS(5>l5}qScrbn3v@Jda;&*DymYj2Y=LxuF z)2>(-rN?5)ZTc^L(k!^L#5ve+2}S$`6Ug4xkM8LNzl_}pX1Z0)!FNUX8~{| zzOK@LX`0Bn@aN1<)nstFQS#}{O8I~fuPz5 zi;en43EU%vB*Ay@L?WuXX4p7CxgBVH+fSWPf|@X|>XOHr^>OhEOZ2R|Vm+0f(>M^m zm{QiALNgf}$Laofgpv~zUkOBT{pz-mn6x-=O`1Adtc$ZOsYOn<%;5**M&)(fk+Ta;dkW{hPP^1RXr$aPj6= zY&nz5Vu*6cS+3HqY5V-cUqZM?@w#KZFp<>v`219?Q)AZxFo5q5s>o%J4|Ysa6r^wQ{>4Uc3AyKa#k9290(u< zpy&psih{(l0(f}$QriK+_2zdr{ZgmN+Adp3cEJ1v=>EW8&CNZmt*tc!B)uRJ@NU=# z7HubU^ZZGHgd4Ys^CTQX+us4;Wd}IcwqL`UJKA%<2_7olA(Jd+!Q14)a=CS2{^Mrr z(k)<81k=QAVCO>?Y9lezAK!H7_#jiB{AE1=EfJ?KJC12zzfL08n*!;~SuiR2T*3|D ze(0(4Jpu^`l0O1i#Ytu!l%+atJ;6Bt&DH|0?ys+No$`A0>`*$5&f*ey+5n!gK=FuQT3M^Z17*)g)~7afanRPzT~G) z1H!lI9t8{u=BOU+f-DHhGaD%jJ7eX);hR-d{I~i7c-48);Hf_Pe#isN8Oyz)v%e9S z;^TLVrCon_8EN{V&zd`FD%{};*9PSL`5cncojvsZKp>;XlOW zU50&Bjp{Bm{Z zTFz9M4x$Wl;XYXFsi2i>0>V?a6e4O&&^`_c5X%=v_4L~Y(K-TQDy{tA{p=3 zJ*PACLa6oi&0M?JH_nI?JQlbbTxFH5YP8Yf#IXonfJow79~j210vEe_i{6*gsp5~) zI>B^fK<?*l8rA7uz4)1v3 zqU2$rr!b|lonmwQ{u9Y#xCGofg~T5&W?tmOj2OQ|x5hR(W2q;aa0X=xT$)5-{ow;8 zAkKd&<0Wcqj!A9st78?Ym-Ls3mlEd8E2FN_NE;JEg}y|Bm-5%tB+smN zfjrFjm!$4e;82hv+_0cS4=_;6tj_aN>IV{8iYQ?cv{G$&r<3Ti6tK7doq=2w4E=&H zIJyrCc5dlBoSI<7?0U81g7sN)woj`jXZBp9{j-r{Ymh3r_i36auyw#~VEZ_U%B;7p zP_vQ~<&4?5ov?AcLK`;FWjWIw5+K;5qosU@1vt0kfv^9B6}jC;=0hPgTn2r5pFHERE-}mG#6jtb1Xb!IvO^W!{-RTzw^Kad0$@_UxKmsBrbJf-=53 zySMn}E_=*FUF+UCCi)BbTmnjNy_UyY*kr7`dGbQWj3cQPZ;Gta zgTb_-m;T~hXBry^u3Y%6|G84<-2sS=51riW^qc6>IbR&Dw`pQq>sp8$57FwHL5P#$ z>K9$Io`LBtD`OQefW0N9+d)5zWsM_X%6bO!7p*VOV5-@`@DQ-{-^y-E^7l3SPKGiN zDurduGqlQB2KQEGFYPXfkwyE=gMuRx7pJ?s`#Pu$ADR$88NL2XN3!fM8<5=v zFnbUz<2l2EZ^ion!LMP)LRslXLi|}qLh6|n4IITKmHI!N;&%mB256JH2dR-VG)^*> zSz|Z(itIOsZ~4hrrzLZc7bMqp`UyvPW|{9)Db#|N0ni)u01yg+8DQHnYscVu8{Zft z*Qfc9y(4>X|9xUwSa)GRPv{&&*Nod$F~70Idskg^Z=*l|bjq?2LO7h*6#X{qv}wa1 z9&lpomThgPgsD&#=!uNRW=e9T(98IQ{h*$l@v!`|1Gaq?Mz_Y42b>mFzQ*6q&?~-E ze}WyfE{;I0&eLRZ&uQDZI`^`F4BytiX8f(z#)R_lT|!}VK&}zg!s+grS8~@-z(7f2g9h!iSmlg=Tlhd(2tx1~X0`qmPO=p|ydqtfY(~<{8PxKTDKOsMav>Vrrt!*m;4I&eW69cDXRq^x` ziK+sOtN@8{FcC+L#A4XdLEC9}GWh?c?zaD)`ge<&p1L~Ehu+<@a1s34;$1nGE@ApP zkVy!Ljh9l$8W-LTPs7_fbP-Vn64nJj_F?;KIvbpsAuPi zqH;q`t39OZ4?qay+IgIqbeB}gGY@Kbl(XKcT}Zqsm_Q4nWzLHJdHUD?-UUus>GpsJ ztpTc!fSp+T72hu}{$BrcZInNk0D#Q-7DvB?;=}5ss<}U$QmA)=cwLG^kFeDTlagH! z_tMlxKz)}0u-C9$s5zkb0&HFh_4A4U!B;1K`^wzDD(1D}>Vuc*>{u=j_0@GIgkWst zAF&yV=8JF^S#TkqQ%xxBzj^w%`n}OWFyZXUX#ag)_?7=C;PBG0=mclB3!BqQt=^~G z++In-_FYnGuIMXO`*ly%ACQjQ>(BJ14z-13w?gO4+d__bt-s(vbEJDF!8!3!O_;HS zdS)Ka$fxFj2Sea>1MU?qXE_xVef|omAHquHO?}Uwa0d(rfP1w$noSrW)IS?UE5P*< zXbbl64`**PuYpB`AtezZo*{FW>huohjdO&0v~fyxOO-S zImEmp!?!l~Xgs(9Oa(>z<8?{hCk@0&-0;Nd*lV-j{#p#pk+%amtV|kmQZDb6xg@NR z-p=~-O;Q30WepdH*4L0{k>J&myyC+NX`zmk`yrGNgIi@m$48>%^*}yB`8#kit{NH+ z*k?U*cPGvKVdhnq3ws18`u|+XEWH6aq|!DxYtkI_^IGx_tcxeQ3{z%s7q#iUQjHlBaf_;V8lU-fBB#<;U^tiE6Kr7#|#ot z*O_`p(BJ_qip4hmubu_-(rPWd0d`RKN?6Yfdqy5Z^D-ZNhhxFstxhC_g3S-DcK347 zxe0f-zSjIvm!Dvw6X`S_%)NPeQye!sww_t{!{4iP2MH01AY_|~bc-=lQVaZ#2N41B&T9A|+X@K=Tuf(pQ(-qWAeaLG^2 z3Z4vqtX^8GtJvgQzi+u}|C6{SH$z|BGG+bj*-8;~_VLrFwX@fYM>p66|5#!Gl{gZ) zhAlbJ13tT7*%!U^VF4)GeZbdWuUSXBY9-m%1zAZPWmS!btKzlCfIbCqJj?o<{MDVb zE^f{XT)<#Smd}F<)DKdk$a(g{n>G!0_hXl3s5x#?i1<4ZsohlooCM)6l5a>F&Bab{ zxzj)@c?JPShuy69h?2a$Q`-51(n-0N zuRH=E1P;7TXKWLBZvV&6*?)0`z<0(0IVJ=HQsOaP^US&gG$Zg&aSd?&78XQ+cKi*J z&wL;qRa8ToYzIoy+`t!*1{#3>{inA|>E6F>Iq{ob&MpyfiGy)E5PpABTsDW9-kB(TA^qPH!yj`fT-5;N zJNDq+0r_A*8vPUGJ;6e6{=2K;)nZKieHh>6OJMfqpM`tj=0NEu$%26BHG092?ce5; z!tFF$z|-~x-6mkh4+)_YFhS~SYHB3!Q(KUg)B*s8HH_AI!DppGgp4M$?5`985az=) zdcLHvFj`wMUX$+*Gfuuf|q^3(dGd)^eg+9%>YZRW+nNcp3Jp( zV@MrPfIz`=6G|%22jmfUAnW!x^#|rZ3$(Ffy7!w@@AH3+&>>*(ribFW|LpRE zeSjL(54Q$P{V^cb+KYYnpG`P{DiP3`FfFmzD*Y}Q$aFC`f#Ki%Au$v%g?4c+t%^T)&^*kA0@)q5{_nxQ)I?^hdh-=IO z{~9;v{|%nRG|8S!-khtWu@zlN$#ZGqvTwWLZssl2woj+^y7h(d!D~E+(Kun7uP0j#=&7#|< zlk0IH6kF1JGy2nS4~K&n2o;W7-^yfT@*e5#w_^vhe}m5|rBoH&npw6RSjJpwxX0h^ z`rdQX@Kzyrz{vp;vNY240#OeTX#rUPQXUu-T>|(7di7lccU$;j#wbFXvCO;kC!+zy zDs5DY!oIu2lZ*L^p2PIZk0PJK9q3wk8RXVd5VFFNKdSzjtlKaC3Nb$z;zqtqnrHOo&hsCotDK{r4oN{$zu!P%31j?UH}@!aDa+gq9Jwvhiq>th$EnZyx+SD z*SM0^wwce>oebD@_0y}q?RP@23NjJ(M0PR^sx$ifKe&ur#O8xBPB6OVzqjByNj<2Y zexXY@-*myWE6e*g9T;ADk-WayXOb)H-sg>Xtp*qGi7&PHit42szIS!rdU*;h&ormd zQtqQ%)idyzPDd2^S2(^M0co`Q0Sb@6g^`R`Kic(xo^z?MN#_E8SMA6rlE1(mF+G1f zF3XVd`_vDqbk578MDp*UrO!${jw8Ov@znn3sKO5cBx^LXsv}LpuxW{WL9?a5yeYwz z3`XuaM%MH&H~34Q{{^UYHr!&+jGZ4|Lj_66!0#< z&`J&ae1D*}ND((Me>V%zn1Tq~E?)iE?P#cR-!zFx*xCYNx+8Ayw%@)nRB|Q~17R6?hI%gN(qF5d`xr z>Tv<_fG`?JnZEj=9H~16gtu%#XzTO6FOmOZsbHE;P@cZ|1esIv!&rOs^ue=&5fu4c$2eLL}MPJuy{w7eK zV0}qTqcy01xpAW|*w+$!_4MxCRbCA8P0w#Dhb9MI?D1hh@trzo9;yVwF&zCI{4A_k zjQI4CD@BaW%?Xu{UJTs+WcAJs)%rkMHSmBVCRc-&+}Lgx9x)%F4<@Mn~^mymU!` zgE5nEAwxywv__qj1IlVRAy5ESjC8`bEYp8eV4tYTIV<-wVd~GSBxHckuEX6|n8C}C zZOMDu9!1~Uy^#Osl^*`K3%?EJKcg0b!3yPUi zH3W#SYqPAtz0wGE=}iz*`&HlF$WRBdw3a`wHX6%|PguR?f*BuI*>L+X@Wk%RXdcV? zrLgv5>~tDEv_UirH%~2tu(uA{yoJrCeQ!ng-m25j$`*zVTc(F1ORy~t^qOppE2MR3 z5B~I&Uto@!9{i?LY@(8chp~GiwcG(nbr_WOH9Ovk)yU5u(cKMUDOn5wMGYP=Lo)uH z*=LZN94(jq<(A*3(TU?%MUm@-PB;s1aDn)Hkk(rfMyJX}*49>ZX8cEfiGom;l1?tSrjT34*in^`0yx;NOD#kvzTI|VisM~vnw>%y9VVhY zH5)mNC+ToTdpqG&wUL!0A$f(a#ZPe&eU z1`jmsQO2XXs&9;|5#>Dc zM~e<*Ck)uJwPIStRdITBUGCYA!by@CJbyN?3E8qbTrvf=4tzzQT=9I_hWEiUiI@dO zB_4VwJxYaw*{@ETw8-(W(evOdDg1n}#?0PHY$N;kFQ;%4?okkpsTDrVJjeeLNB2O9 zXKaKZBK)|R6JTU1Bjc+=iB}YPXviL?M&1?*yKz1==oojbcC?Q;-dB}Gon9FU57WcI zV0x<$Rbg|%zV&+?1(Ydt@~HB7BIgL{CNFG~I(=WsFC0$?9kBQV;uQdwclUaOoScqV zzVxnlTOE}zjvQ}V9WkU;4ctg$6xrP%(gz+i_`^sWc^lVqw34CGK&9#jQS}oh>+thj zGCNm_Ni}h{q)z{A|3?ET%b$_SKHf}j{0`CzA?n9?b@&*%P=6J`AUA)&bF~{4vw3++ zN)tZg+NC7n`#bY0GS%vsguM1MT^jrO8v7Tl9l7Ae_KngP99I9V>thuIXJ1{cLse;MaN}ND z<0402JlAZ-^V%=N<;SB@uI9x;>-Q;PcGQ`TY~GotMn)avVvi@iHgSVFWGEx-!yC;n zkE&1G1^vBPCSd;nwP){V(c^7IP^^(yMC0LjV=HJpdZkye!4Hn^dn3{7_^0X-K<*=B zW6JH~Lbd+sKik;hUg~ehW9&oD+zUD5Yq&eFLJ`&4CI`Q59hjigr%!|8d_Fbb@cjIIe8aP) z-|DT6Ap`l?p#8*~2cub3tf`yngbV$z{Q0P-xPjrAaTAzP1v^g#dq@p?7?P|M@_^G- zZJcKeL7nC>hM-YWS0U+u*f<6i7Ui=A2ICVG+LzN>5rNy{Zfmt>7bDx_`L*t_(+Xr4 ziDg0qo~G5T{(QkZzxQdF>S+6T19L~@vd~1@P>l<|!!%y@v z=RkJm`p{jptJka>JNy1v7vb-5dkf%V!d`ctzkKrtzx@G7KzKOT(_ zOL_QZSLe~IK4!9JX`n=|$2NlRYkL!F9gP1&-T(;%?<896vYJ_M!2 zIis>s6I&|LLfjUmHWgOl;3aMSs4Tx_YVZ-ZnUZw>fugH?*iNA+B0vSJ7oEyF@;P(- z5wfG#^LtW)nm?l5{_$}$)zMZ|Vzp08``DmPk-=&2JaR-i1!Al3$n(rcuU!-t7IGE7h2w)HQ_Ixg0yvXR$u)Xa8 zn0UWGkOoQJk3}&+qXALxRX^qdcUt@WNu^Hy=C{=A=XrQcHhP05T5t_x?YPFV7Tj?) zizDKfXS(uYTYQjI2>-G3$)Nofx`T!3o3~$Dbwo3MWEo0rs#D9Ww8T~jIZW!TUZo_H znxibCK4oEQZ{7GotXf7CzHY<^bklvcg%E+Xoq{`KzBEf_k zpmm?wqqu&gj4YD|>?%_1w--PUlcs*VLT}rX|S~h+ohT?W?cT=FH<6xzJ>=!uc;`Cnygi>I^4Rv)dW@l$B zpZv=07nz%%2gD^Vz?xU0A~XfSRsOc?^4TiW)YNpNDu`I6Wi@bcpbA#jeikY(FK?6$ zGdBmXcB5bbm?`jrDQRgcLwjSZW@Np$YVNk9-ccSLiPwKPjQ8{2C>rrhAJ50;sZ8%q zU1!_vZ=c@n2fx=3rS+CQI+Mi9ZyuyshA5;qIWT$W(XrPu-kA5KFb#`M^}L)&QZ}{T zBx8T3k4ZlhuxGDa1ZMunhuQjYO@Z(h8vsL46O|Pe5u>A{w%fYBb}}g$8CR7vKyKe@ zoc~4Zt4_Ppni{1(AJp)0>DRAR#>P<%l~+c=#uiLCaW-)I@7^LJKh3Tcy25};y^k@?uz&oy!#a zMRAg~^&|;GH*+;;px8}o+~a-*hfnt&AM_FfCx?ek#w&qZnx1Nj3Wzw+19b*u?u_$f zBvk@r_;IS|2b;7wxY$B-)zD#&Uc2)Q_KXm8fNkQOa}G49L-> zDD$Q`kFHaSdFB>X?IWdtIfrn>P|ho8=c3lOu>w{ zy|B~kQ3&pw!}!Gj_85Vb`A^%e)! zBxM&XI8MC<%0MZ+)+U;Tv;1ZHmVGM*K{gv8D6OGf?!%Tk>2H2QiJZF=kw7;T7hn1V zT(3J7OuHzuBZI_)32^H5^uA5e>FQExrF zJYM0WLMDrJNWHvXlh}D4AY5=q-@bkO>Q=s#x_UfN6z3eKts4BJlO?T~w*ny$%gCY+ zA&MFFYe@A-6gX=?o1c_3E|AWSz;BkdRnXgf^ z(~v2b@DHl~EdlT9-hnr8CEoUgaBj75)6XTJl$qK{Q(b=s{o5I-fhU=eaFONy)TvkQxCkr5`?g zD6Oxb{Bju#I{V^_A6t2QtcHzgnFGyu7{I=LlKIuI(HdW}(|_RHh*a)+tUwKluP~bxaOTvr zqJ=4aowLY32-~~uE#4fB&#YJ@iTIhYRf_#5N_uQt1Er;l*SFFy zorOhXrk8xHt}I2m;LvK%o;^F8*y-*FQ4c0e`=K>;LfA&b0Un}n={>b3fsH!^D`vZBO`R_Qt<*`k@_l!L3c6cxZojP#M4kt2 z)>cZqnNKThDF znd4yzape2nYrNm7i5-e6gxqnagZya0B-dE%_5+pd}Fp;LFyDML5f=K;P%}hhmw5S?vQjyl%iaWuWjHlD{c~(7v8i z<}VrSV2Wg1OHLmc1zg{^XhZzzI@Tyh1433p7*}0+KN^KhkiSwnaidD^otL7Wch;H# zo{zD#@sF)`0jCeDg82cGXaRBDNEYZWc4XdfbA}E8QE;8q2A9tz(7x`pLmghj>|Ajo zd*y5&7UI-)37Kpf(Y)kX6qlb3Z0}Y;q6EXs9O6HkoG(6he4o}TFSn63nLG;PgR6hz#_i%8CYolC~#lP?KJ>U*ah>@oq^j%@+ebMQaE;b{QUfOK^X_ovS4dt zvkqp2wXAyo;U0rx5&Fvt3gb`vP@O+3`&9L6wUTYy{~T~bFk@;3Ew2UeTODsL`%giIn= z=1X`fl*}x3#R~>VVvjo*qz?C^wY*2X2l@S0jpxNq<&U z`TkAPu&^;;l;3ttmkM)C|)9pbbKWFY&ezxW=z~ z9{!CdwM4P#7vpMp8O~ZV0!Ih{lOIh-t6wM@{N4h2!i&7Et#V*4bV3H1GrJQ27C|>& z(mL4w1l_qVWLWrsZsn5B>IucAAkjvMK|8s}?Kl}kT(`YJ(9bxE;*L;bXe4$SVNG67O~3r z@$uR{a*TR!-mm-`RkDwXP9X5wu-NXmKfUvkKZGpphoNlVj-|?*iq*QP@|^(FAXpJk zKpdU=k5mGdLnsZF00uKE*H5m8>F7DuBmC_G*3KWTwkN~_J5EI1ef|1yxG7BKXRnDo)E z@4FHVE@xrXRDIW#$v6n)&C=E~eY9)M!Tu$20*r`l)2UsPlbCa_`&n=;inUWz)Od-#U5 z*@JGmCoYiRq zk*yL6UIs;%^T{3#$fZndr@p<^ zGben|G{YgaX!^r3k-Ta7p`kB0twg*3y^&tx35qcob+6Uwjo-%PlCV=72ln7s_iWuW z92BQl5Xy~0$~0m693~$Dr3zjzIO`Bys9?*yJNb5uFsWs&Z?z+PQtfQoFMXQN;0(9k zp1|2Y2Y%X8+W&bQ{niIek{I@l1JWZ-+Xth<4qli>Wajlyx_;l|M){}IthM~`K-f=4 zahnFL?{Q!k9|P zwlpRg9^<`T`#c%(B6eG0bI;~zVXCn}E0cL@^2NL5K#RJii1r>b{lia2_6Be&FYCrW z+6}+GBQ4dlY2Er%c8~dSClaWMl1b1=seUgppelvLmB|DVYO1^K>+6fh{ZI z8_@w!IM@`S^UynJ?}PUY)+0u6KA%@*r}b_!au?&C$KazFVAG954k)SD^$F2J);{inx@mrW6+r!#4U!!-&+ zKdd)op(yVlAnl+U0)BwTC_LFje?2S7hC1#@f|1 zY_dC2TC<*YEX`roKFB8z?q6S`ua*oUJ2&K|M+l5(+?ejVUFcR*iZ+hYiZpE^y%!Ve&+M%wSYM4fd;>T=f&W9qaq4PjPb^b$EjY7Tqtqe zg77n8;EJ#l%%eh0sEuRd$yZu|(mK;s9xUe6#=b6{O3l&SnrjWa1(T1JzHu;#atJ@e|L5Pe~%j3*W#NedYGc$Y}UOa&2JVL z{rnne$NZ;`c&?Qhwc{0JK6m$l(BIk>!q~Uy;1c={YJmpID@=aD5P9;f=GCj}@cNsC`98`lBB1v6@BI@dvaUe($ zrU*c>hFmsih+3b5X2W>v!yVw7z5DO;Rc{jalwru?)cEB6&5Ystw#nr?Qf~RIBacct zxOSHZB!+WOkbg8;_D;T(Mt(G@#|ihme6-8OCJo`QN$r&dL7n_G;(cGpM)zYh> z%FUuv&p!h!H{q0T>xh&eOeQX{v2-*x7G^^R1oY2U>v!kN4}MB?irdu{zD67Jpyt94 zbBcp2tR3dVkasc6WIXgI))#wL>**2eY@~5{EXXsP7cJB6uEk; z3l^eO-RN!J+U;fhrfc%}qN)=}`*2SkMqWV1ySe-1#=R_@MX$U8kbm0JWEj~vE^6Cu z*4rhtJ?WHQ;i??mXOuS=pgdS!g8BgwR_x%-xF|r?W$a#@pzsaZ|0A#uiYLn!(P$c= z-MFT{A8gv6ysw4R!4ZOI)1N=q_-}lN%0{(_I)kL16beR zJ}Y;De_&tc{pDfG!1=|aV7b>t@|;-wg|k*qKl7iCXwY@)T^0yR(O@ytth-Rny<9$r zKDkiOGYL-ZzdHnz1EG&`iylTC;^LHA6-wn2RXcC>Y1iNPZ_s!yyQ*fFik|ByE0QPI z{X(_-j1%X{MUEcH9H7xr4$R8C^fl^-0nUlae~3~6g3L3#TYN9n?+&(9>v#lf^*b@Qzg~np_|N)M-?)j<@W440VbWx zLc$h3SI{4mOx02{UDK`vx`qbKF1imbQAE7vo48c588xhdF)~*_@bj^F9PSnWi|2Pw zDdu2e^}(L7pdavc{;8F`-)F7b)1IAzm&+qNO*WKGWl`}(K3+<*!5*lKIfwTkV7d(pi5ycxNOTejkeC5cPKb5h4y&W1QitH2eM3P{b!gz1xtC_3Az9 zsD<-G%M>6%@@1!9bZ}lwW^lP;vyPb5JU_Lgm`YLilx{_=MbFSd{_h{^3f}gX1!WqH+G=#^E)-;+1;_)wO+Ei)LTLC+Exow zv08EyQ~uORm&`d=U=+`{Hd_l8!{vVNqoi>A=tSnvxDyl?&J8B}MflbrK1S^aK5|`X zqs2khkP4yxZYfo3_!=d8Xurt+PR?C5Dnc1O_td*!X#KM3P_jI-duZL{({{Q9^DBAw zoSSN;+yXF<2ltaIaE6JWLxh!eA|5a)6;H5F#5zk-)-&$jD}Fgye+zSNl$)J8g~#h% zh??S}6Z1wQAC<5@Rv~V~hxc>Bds*YcE+GO)Pm>`Go~lYNT!EEzXTw)M8O0MCU|w#; zNKSODHSX>5W)38PC2g9`((b=X;FVtd2?~f$Kl=pcsjoMxY8!7aq`21PZa}m1if^JI zjQRE_JqtQzY3Vjeoc4SUXvkK1)ol4CeD^c!`u2&e@nUN)MCf7I)UOxq)2{^3Cud^U zot{-e=d-=tVMX#f-f$+oz0FR(LTG&%eB{Y0V@&AW`kGU?7b1Tct=Q(jX49kA@AJRo za}NXxxL(VF3B+7RCzU-tXDeN27lQaEB+kBv>^_lgQb2q;ow;ye{K;cw)ih_-ct(q5 zt!}?|0@k($JCzDEv?^piI(6kvaI}kQI~J-mrRl6$0ui=!ErdU^@>Q0s@ICjrYG`D+ zxxtJk=2Z4a)JXEyVY_1-O9z+txl*E9FzS*6u2_B>TJMQLom^AWg!XTM3haMqvRo24 z%nao$2XQ8e-ETb{8__5-4K`cm+YsKARCmGm>K}x7X%~AIv=W))uIby!YSOaP%Rj#M z98R}0_p3Z$}l+Cf_sCQu?-zAHq~d^r>yV;EJcAl#y;Es zhtM7w*4@lu$$quo6j4a1wI5L!4&dGS;scFU{x2%LamKtt?A3S`4Z+v#IqInhUq1`_ z#JZ>q5@PS2RZim*;MY{J{(>qY76?3%82fNLH9s;C-WWQ0Sk&;@8jgsWJfvr4{-hPZ zwdyYRRs$g^Jek6S3Ojty-5lLk>+*8Ehdb2$=;h)Xm;C0cO`~1msH90a=h};;sp}n8 zciGjDbvATs<&E_y+MVH7I2xpHkpHwd^JSg?g9hGr>w=(J*&T+g@lOJErl@3jJ1>Wh z)gdDD2A{&kX3Jq@RH)ui^I#t)glNgkQEQHI3PqkyFwe{I&>0! zX{y2Q;J)&Y5&9$I5%uRl4AeQ{dvft-_5Kf!SKx8;!GSOy| zagFGq*3`X9+&gNxDH6joqL<;Uk>Py#Qh`u9?NWEAGz3yESle_fpUac*38>IKPxR+P zj02V5bjo4NQkiCSF4^?8lqwn@wI=u@sn&^#*+QdHCn$zeStoKJ zggG*+i``E)Ygg6Ru)Zcv1?U;{6qK9 zspl%M^H8hq=Gt3{|FQ zwsZ(hJFqXa8)PR0>!|eMiqYkc0<5~d@&*3b`F-itm{!F{aN5Cuok3!ZK z?&Np}8%Jo3Cs(Z3?cW_oyc_poSqebqa$bQdN)TH=u`yG%XVAu}Y(=ppPBVX;X5K}v zoYQx|mn06h-*n4BlK)yC1{KyYF^ohge}BAdq6d+>JWRX7*0%56jh8;t)}Eo;E8J$W zPE<v((-YGB2tg&j5IUpvMcKzCR^eH@BAmX9URlBn~wl%uF; zUArWJUI??Qq&mF2+!IW1pcIm@ZC;apExRhxhjS*aO8j9d{2842fXCx_=6`Oipo(lL z@?l{}?`kKu!OI}Z)1U=?g|`lJ$m0HJz50~StK_Lk#!cJucZW08AZiEkhs7!C%Ei2N zhEsXUR`Y*VRsTGN%~l%WZqLwe@=^rR8sEqK+-^3iSnacClWlD!UQ$~C%_I#KO135U zIY_~DzS2LVSuX*>ESu$FxR%6Si;%8Yhc}bA=i7G1=$O8ty4!Ttt3|P{GVA02 zRgt;fxkjf)RNe@{B0V{0ytcRNTa-Ns%YDpCBBnINM=0P5u)eZEo9R`mX3;A4%<~Z* zA3xI3ehmz(8W!ipu)Ftj3az+S-GgUhhMZVe(DZA9QvrEgzS7_^Ud^{PyPWP^|2*TvL5+~g9}PTgf^ z%8ncU>!h6Ly4re|x6aqPD$=W__~F{P%I6%_?;tza+HI`?V z)eQxexix9ubZ;|HHAIHBh%w_gU7XFdppq>O6G8;;alPEr80?1PMR|h6%h<&n%*oBV zp}BbKnOO41UY{vVs@Ti6gNJu@9!r{rUpU|%Z%t63*2@!ZY@T||OyJ9Vi=nUQ7n#w$Pd$TmAE^7g5B z;xc@Yr_pqgYetxYzKyc{A==DUN;S7XTZA4769%7>aHLj7%g0vri-XPpvxFfVO5iGe zTJ>d_y(li7L-~l@XOb2YsDw+XgrPWv_GHYwMiWl+ELOV-C+9$zt(|~=fU{6p=q?wx z%dQMOF=VH9s^6)#?=_hJgrXL!n7dDOH8vYAX6gT0eAhAjC}vjCR{O};GOo|+qB-Uc z`aOd#qesoTDDsTw9Us`QhG0H5;XJVWTm9_}0OV|DqV$IlG2#Jl!~;&1n(5=0P(+@CH@_^LOwNf$4mV(xhp6M&S!7h?p-1lD z*k)=M_q%o+fbSRBs#`JkaWZFI(AG{4&lTaoi*w*rq}*l~rkA$?O6Qqj*_8Q?;~#c0 zc-7l|D%&J%w6VcT50a|scka8w(*@x+u-fiY^=1Qo?b9GH+UcSo)INEge?qI~?sceD zi_I099VFib3toN?Y2f&InK*OQ=0bhwbCrb%K98L35Rn!L(ZdvU;LDv_bfz|u-DP{RncB7>@`hfTUrX?qZoYR!(r(1Z@ z*`PGsvt9^Ii-)}R*t5vCVEs4*VcBMeNX;e7<81?@8rGW3G!k_1IqED6y#e&|85eTn zRGlEIS0IDfjZi3=k=Suf+3#@k?}TKo%w;VXni1uB1Z+j2b&lD0Px@r|^9mD4Wbv^5#Dy3ChzU-I0z#j+kz z%efglALVPc-xAtnQ|1(T;D1MhHrwp9$XkbzQQo;!0WG9Hjem^Lm<_tN-}V4OpZ0M-FLw;^>f&}pk74DttB%;#sn&+J+wfCiwy&@bON|3ap3ep@Q& zqa?mnnf?OjTK6d>vZPAT?BgfiSOrX?R-hl2KxC&v?*D2J*4HlRoi&nz&VAcWVOX$z zm=MS@u+Dj<;Uj`ufr7rZ)}o5a*Da_pGPgk;0T(~LJXdy2Hb~&*9pZ9FhV!nMA{oLo z(hp(Ea^zcFuMelg4pf;Fs(1@9JPThl6v(f!P%4Ac64j_YX$ojuN>)P>>l*&*J=rYD z`&#~f*>G5L*aCU%;#%Y^eqms9?>;3my{H#A)Z*_@t&r(=YNuH^SJplw6227PYl&dE zCyu#(%$wBL)`??q_T2!z z?#iF@8_tYm<~Crv1eIwVsvDKREBttBeAa5|8Z$@rH5{Z4+`V% z7CyW@B*~T2@Wjvdo{W__T)o6hwqWB+C7GfwEWYJ#B7E?76>7mxZL{*Y^_pr(_yWVi#K&)Fb zG^t3MmrrV;V~?g_;A2nn6-)udyT-^4qZd!ns2|chu*$KQPKjep;8n_?ryxH=5i;Nx z|5P`7LSUqdX0NgdK8nV-X%sqDQju{P9;~iqtzd&p6iR%`HiC}34ONcqn@QsC9>S}D zr7XXE<8m49^cuHKgEiB^TiX}*qh}gT!g#_FQvPlMVFRMXIWLw?S3mXUESs$75+{=l zLzdsbDF&Zv(zrRif-@ZUG@}(8j7pXj$hT1DKL>nYx&Q#Dwl~a}%t{iC{^xGWr(Qy4 z23=cx!^PFW{P( z>7>tvXeT63D9owqTpscEwLLCT)sxmjnPRs^zua}75nFB;uF0ZLC_fU6tYp(#L$flxA!{qK$f+w1aM>y!uP;ixRVB25ncc&bnRY(4SUf z-Ro8=WBgh2a>KKq)_W8dSMtcJ$;5b;%312G=Hen9CwCoqi1CKmyp&59dvvZg9~Yl+ zm$@vYy#7n=r@Cou{x)1_wcu*=1d$^m_~M9cvT(LC|5D%2r15|!>TQ;h*UPHQxh|gJ`%z=MFMjE^Ze@eY6DP*+ ze0ip9oY5lb_53M3+Sp}nQN3Eju!mEFWz~GfgNFK&Hz7^{Qj&-Ye@0LgHncW zz6ni$+Fz#3#t81VFEnDX^w!r~aH$i24md>8Y;o?6XUbVnd7a@F zGk!UHrf-pY#lFQ0Z^@8R-O)5*%qGLAB=z=8e6O&UA0~~NjFi2oPD_goUu$HVp}yaa z^se13hWVYxAcgduRM>wsJrNsHG<@)IVC9LnV2>$|E!ksl%;Tin?vQq9S4_Pfs$sDm zl*zR8-2HK67-#>OP&-BpA6shfA2VW2ITJy7E6g6SxdQd|4-qF#NBlAv@hrLlzvOk2 z#g?mwc5@vLtZ+GBw57A)ZY1A#`g3%|??#U;Zr0tWTa;h6sNzS(3$uMtoV9C<%~C2q z=A}-rm$!}Mz*q-PHfpBFKSHHL>Wz1xYWz5D|M2prQN&P9&hwi4PWv34%WUA-aAVbU%`e|BFPZO*6Gri!8F^{$vD;Lr^^ph4^jl?o_ho5SfjHrv=rg}Y16E$~w0guP z=c$o4_Hb)=PTFeyMl0578OP6ufEL1j+2NzcdricriA6K7+cGlb%o)fpgbOYTtFp&+ z3##(FmJ&Hwr#NB?{4EQ~Rl3Kwmuts-DC>T_qvy z6<;w&PtQGXZMlFo{4gy|i|mWgsX%dekeOdK1bX#kRb?&|8Q%=o)~D(s7r4hn)% zdQXbz@sHC#IkYULA=n4rlpz0j|A9x%%P(eBZY+y8lh2L*^Nn|EspO*YAAtb@EsJTg zHg)ewDYA6jIh2~3ngA6zBFINWb2pXW6qqT)jKSgb6-R_Hk60l_SLa4SL1^bSAQ@*) zsslM5UQM@AKwH`Bz_E5NY>g6e<>Y1yoFZ8m+iTfh;wgXl$V+t`?zsj>YRsfYG$W8BCG(DwX@gN(L18H4 zeZ#XNsda4*g~eh|KQoEZmvE=o!;9AWz??_ET0- z1_CZnY=E_277Ao*U*8hx^H`>tU~srP`yR3Jw8o|BUd5V~p^!tt#>@t0-I)e0b|WZ` zTj>fYxyLL2iI#QkFItwvKeQ}~6jJ&}^~C2_UXDT)BcP^*XB|F-+rTiO0_9s6or~+` zKbME+l7OIABYR8cK(f4s`!RdJRI@tjYeF2^r35R;qh}iywjW-Y2Xv&wp<%bLL)*}3 zLT#-(`|RYT%TtOA(5~z;m?xuHAQpr24hU4|rqde7U@SHVwzRrA zgZh#Q|F>~qa-g}XX+&rJ*3WQY!7kMCRy{Q%ZjOcBk1Pt2*@G8hP{S>4<r|Q zA<--H=|%kokKFe-m?7=|d@y{fMmF3aDaYm7B9$9u8yqY&=_drFN8k{vP5dgU`8${q zNcXOmfIXc@^AXH;12@pxM)9nmedW_j@F&n6f$Ao@Qj$g%@9ORbwi>9EP~sw-_Wu5* zql9CYN{5XouZoMepx`2?@Q{^ROi)ne1lFu24-MD?JmoC1bL(hJ!Frq(o=4y5SPCiD zOYK-$dHJI)57#*9S2apYcf7-1T3ag(M8Lj{b7v3kmDn5Wcb$VIX#R}i0u;Mb z2lsNL-a|o#*3njIf*syoH&>BA-k^HpM1Dc=H=XTD8ts#>&8)3wDq6RnBRju#AC_~B z8~elJR5m$-C4DSzt@8*JiXee@M6|rbjV!LguyKYFvvYCDAB9ey-fnIHf-!w9F@C6i z8p^grfMfWLXGJ&1~EX9pOC$k-4Wb8RA-)=wO^{3M22pf>%J(#yC zt*YvikJ@$M{kwPXV(;@L7m}}bWCYrG=volcE~px?oqjnIa%s%Tlq9k(Hd~PoUUB;v z8`c84=7UMUfgB_H@~MCaXQdE9OwrhZy|Jjfp&c9z_vMq%6n}P5Kvkt|3x~d}P|4Xv zqmF?6ZXO;g?)JS|Cma<7fh=4^FX?@uJ{u7+7MC#k;&W?WvO2q;#zi8^W>6q3+|tt0 z$?ued6DWjIbMO)Q`!_FqyKz)|oA_3kX&qr<;Wi}>kfKuQ%3un1ZJBFz@%O;Z;eIgLlberInSjej4sw_sbPN$NK+dPQY%s zB-DF06l?S`V5~y%CKjdgWpf)FPuC^NZJ2aE&Rc}nucLsOSz-I~Z!Y)T;r%S^`3VBR4YoVqWGf0DnBp%v7yD57b?|kPu;@O-@ZsxwC#G zq>;VT&_4t_6(FW{D(KeT6Yj>j9bP%YRcZnJ=wth)G(ImQv+47?u(0q8Xo*0a0A`3; zZ>eS&$1}RPW8nJd!J8qjO!WrnE?_aLho|{Bu_h~OBp_?ag1MG%HeePK^WnjaxlW`K znF{X;eG78#K7;I1p`18^RYK8ODONOk+eRz0V#%KTB3KS?7~Z2|i7Pdq1QHtoF+f%2 z;$i<^?GW*@rXL-iXUfJM&j6I`EW{>vw z^q|5Mn)?*-XD^o2Vm=Fy#;6vc<^X(Zyd|GSA8kzByu&SdV}snu4wQJhF)M0zs21yi ztks(hUnD0YjB_cVUQ^5jL}reDufn027BeLwJ`#x}y28Q*IOKF4Rx1=}gjo(8gm;&M zzRaUfWfO5?_4QC(@Ero_7jzKpf>EfD72ym#wgAvnx=tG{khMq1jR!TOYZ-#GV_n#exzAENtr?b@Y>?kwx(xJWdU z$?yFBy#NJeV)Pps$a)(M9170%#$Zn91IE6@^k(6tj~$Bvv27Vw9Y8sla-(oOoEYov zTh;$FGlELl%ab}{q%~@n+P0bL8l3EA|RCqS6Vy`&e^{Rp( zC=5l=P*l}Mh(F*<$7hj$`CqTQYMUXQgs?4=`9eO$EX>pZ^56f{gI?(? zY!CqS{suq<00xmydwYA34JUZ~crN5F8fe6uo133d5_0b^2b_R#>6ol+X2XM0OE?NY z`~LkX=&`OkIROj3bzKAS1JrzaPq<9cY>28JBL4-ALI5vw8;SS|P$PrnY*TD+CF7Kg zmXHt*1f*dB!~i%4!?kzUNk5W3@WGA%aStR`Z-zpOhuQ&d45r9SZJ?|*FG!O# z*B_tb0^M@iDGWQ1snX13*t4K?CGI&tkGBG}hJFoJ2ZEv6UQtECMnJKeh!H5{-p9}1 zN;jcK!PW-qec&DM#l#r1Gn=2<+}vEmqJ=*TlJEX3b2kP2*6B_c`U_d z%Nu-Ga(Umtz*cdrlqNnsovjTQKM@oOwJ{d`2in{B0<87wh0E-zE*}z?sB%VjmsC>$ zqaNCD{jhhK0{*qpPv7kP)u3o=BT8^xy*K=r=Lx!=#Tt#~bTEW69otmAAq#zx{Co#! z0|{`pkg)<@$x{eygZv3GysV4frayh{xm2niPPeZ`z&=6&NsVM(ymwX#(H?kbrmtmE zM(hX=)nAE0Ptrw}Pr%nafgQZAP>?WI|Lgl<)uc}kl|f*ZYV^vUVAel^%{Tola&v%s zMq63gku&&N!BGgrZq@Cx-w2!%wD02^Mpi6(E3mr=t@4OXJlC!ygYvLE^zMqg z<8=@G*_`}D`sdHTQx=w%mdX~)bQE%e{>&MUDzDU+gTX$*4cb;j_|(EcSv zlu+pZ0Sw6`|Nf5sq*jLaeh=pSM>%OpY%~ z&xisliut)O4MnUhL_2v{^!P9x*b)7yIMCZ00pgv$K0P%NA|TO^YWbp8Gu4gdD#pN_ zJ9psH%NGKh)&_1hNzqAd1(gV05rZ?jJ@u{guANfp=fL8bc@jEYgT!I>eA1 z%4E(=rIj%l8=cF`q*|(tyQ)HLtBn?d>LwSYEvtXzPNnxwSPP>OIJX zV(UC1Vk{`Q4PJd-ThpC35zK+$^}W;EVZ)0f5+~|kzwTJDx_4SXs^LpQ=36YN4FAy!a9nB~0`35=ZY6UFW~~2n0AM+s zQajtV@>?#&4kGuN3c%YU$A;juFYD7!;A9(cU64E6fh-jcH(y`Mx=+|2i5^cj4jX)& z=6eO@ySr`u{$Ls0zISj720$Lxq&wZ4bxn?jje70Df&}%@!Fk_F)yKl%QmSx77#9?E zwbD!)yaPu=!}W27T7i{+6$WZwRpD}oPEdQUI)k$6mXea9S+}yhTvl0ci9h}w-jlOo zBrq{aT&*n~a+6zJ>la*H0fM2CzF+UFJxJ@03B^mK8wZA>KtMvPkOe?ruq!_v?P5~o zA_Q?7q6p&DD6guz4LaqgCi$4KX-SB2Ux0)Nh7DUX^56j<9Ojv6&~Bo;rba^{CEk0d zw}QhGwSlT=q5x(*m0edB9G@55hSUk1no*w#0@tpZA4)pDMwBM0;X%K(X^5ESL24Xu zU1xOl3Z=!Iw69<78bcf6zI!Zw!Oe}FXdR8)n9IbiO}?SYQ%n7XMfM<(z%JeBiUlam zhKR7c7JRG2ejYbPYbPDAhYA8)+q5e@+}!+j$L9XP3y*nwdlRPa`#@Cg{A+oy+dhaD zYkO_iMMa)qeO52Uo3UaMVuc&h;e#R(7*Q)npTqpu)4qjoploQK<5h55)Z3()>? zfor2|yMZ)*{=@n~fylTe#k&tcO#jRzS0${R`(rTUI?+GF!DvH{M*lI9sp?KUD3&Oh zLJ|$R`w9oE1O6=#PdtY@2Q{OQBXb$}#!>I5CP&U186lMgV25c`+71>qvkpd;1@i+7EumA0TwPgpI?Z zh27>=-)VsV(o$tq@uwvS!}>pGkR66Aj@v5*PUTH8sGZVpu4R_UQT;6wMZf)RkjUPf z91B}$>qn(IU{i(K`^%(iF6(q-%wLW{wCl9*U;@1^ciwzA*2QH9^b>Xz?mMaT*J?)Z zTRAP^q1HcW?xAomIKS)g`TDG3io6u*HG#ZH2vwG+xR%5f9*qkX15S#QK@bu^K$dhD_Xxr63zr- z+ie9d?xnD0Ix9s{sW8vYTzHMx^D6>@yodwyhqirKURHr2Z9cKH5LOcSQtmq+AZ+d> zxNMxVYZ@D(4L8gEg^8qSBuB!Y49*2Y=6THZ*xA?c79_jS(Ap{N#P~RS-M;K2^H4?r zv0@rA+%NaZFqY6j7b+Bqn{(thKq<1{v9z(F34S(SP;9+gqHSoIXpoJJPZi$w{ycz5 z>7L*zqkEu8eDO#qw>fWy=G3Oq@c8c$U?zCkp#UnB)(-*wn!d!n1bW<&4viT_F(R*f zq+IIpl{KF|O6*Bf9j0qf7ek;>IzHPfvzsm>D|-^%DQP%#PCSLqZuw08%}N9j)wi-uLXLPKMdmn$k3iU7_qcM z@t{`lqBAw8D!s_RXT|8?UPJb7NZ|Spcy{EJ;l?4yVIL#(O;KgY)7yLgjlgQfPU=oA_aqmVb_WF(b@ zxZ^Y$v9yfydO(MhEY4 zhZHC|0FkH1&%(pEZ_LchT*MDGAw@O7BS18I{xH}-Y!#76A%Ug|MQFQfdZ^jQKc=-QAz}F(9_#1n0Mx#oDTiMgrdRSb5cp;9AZ=c zfx^}s@V*`@lu*^x)jFRyOnSwf_6Fo((;+)|cMjMV ziblEvwm?eGr*c5uN|4(hSRRlo-sAQaIVtNh&oW7_lNW+RvI~>+z(dAzRX8XFxiVUj z+_cOt=7vMX{{FZJgLE;U7mGZcjY(iWS8eQq&{P2*RZws;@v#wPQk9M}quidj6C)b1 zCSGVCDn4NUbfqhQ2gJVXOz0%Iq;@GsIhB}0PJ1NoCCG{(bpFuMabK`a2dYanwX~#K zqal)A_exbpHdF8sw&mD-GW73Lpa1(L>Hj|y=KSBLlHdH?(~&uIRK}z=9tEG@P8sVL I>Dk`+54SWPNdN!< literal 119176 zcmeFZg;$kb_b$8%38g`iP6}>5>MKl9mQx)7{;CYs2%t zzcbDm;~VD>ID4QXdvot~uQlVE*SzKqQIwZLe@yro0)e2*NQ)~&APDQQKPX7xCvUSy zm%%@LjuP)3RcuWhUG(jZA#e2^?W}Aat;`L`osI1s%x!JhnOIqvxERUJ93AZ(_?Vfk z|N9CiTYFRHqVJ#E!BtT0q(3-7Aej2FKXCa%dFBu}2t-C)MAh}%_UtE*k&_$b{RwWV z5&s(V-U#Bih)OY3)*>CaIQw5yrdz+IT=mOP**G|iB-GdS_oMDOj%a`Vx%#(}9D6S; zH~%P*YZ1;bI{wP$>zuiRhqt%m2A%oWY^i2z-NCNxsG!xW3y(wjL-U@it2#s_JP9o9 z`-hTf4-N_B;d^XW5n9UoM=T=Ey7A5^}FSH>W+{P&`e|98><|2;i^&XX#iBu4|jo<~SNM?;EFOzfJ~k&t+V zhJ^54jp472%Y?)GVm0vO=l<>LODnHkfhk^m!! zYL#o&hTDpZ$cjs|wrk9SlkwRTM?URz1DgBe%gPkPl2DR!#8O^!ZYVeCc>JC*A==Wp zf#lPtPjoL|K9-rIqGx6f(kKpWU+@{(5O;QVR@Z#E2aXCmM1jX+V`F6+#dP%aA|F0{ zsI_cU+8vQ<%dWPXV#^=fYz~xuc&!-mM1~XvKR=O0H6brAuYNB}&%f{AJdfgr=g3F0 zxwYlq`0Q`@+tLY46X}nri10if=PZ9lMkr83v)U={7yIV965jCWXg~-qttd@g=OicY zvEWO3dSA(G)Z|N2hKAY5%}tBtwKdGiRl6Wevd-n6IOH7bfA4d>)fa(hDV!aL1PPeo zM+d%CItB)R$!rm0W8=R&lU7_{=hsi%@SZ+xv#D*@W68+L$(c~PppuH5?~b8j6;M}E z!SxxyNQ#NUcIo@~uCxsesc00^!jF%S#e@EQMs*AK>ni3=l{e!ce2y0QW9E+;2gGM_ zaj~Qe+#%Tbii!$Fa2aQgSu3uk=BwSXtxxQ1Z2xg8xLA$bUc>RrZao&^Vl~5^>FS$$ zrEkM#0kbxk?#*tmsn+}Z`+pq&ksTfy`j1aaR&{nt8kv~9c`3Ar;zssJs$tf~B|W!3 zy(A+8qE=LGnRDxiOC#4BfQoBiQCVJI-tv>`VMDxVB8oQyS*kT6e*P4lw5s_rD2h43 zwBMq=_~623u7-Z3k7{So^F|0x-RuJR6R;iQdJv1%X4WPjtj^4J9`B6K$k-ST0y{k| z)3mragbenWC^aW1PAw+&$*r~;q|I*5`}d=aeHNJ^B~q*=mOUIWi^%jNMpH*eXViN0 z#BFq9BB-g^X=}V>?Zv~|7NSty@IpgF-BO#I_1ls1$1E5%YrfAc+0+ufc=1A@Q2N(jb3x*#HF z1(;b|ONfafeEs@${_F~u1OpaX(OF-9c?{eM++{nBk|~J6{v`zksK}V40m=md8pV4T-^gbVgTRGI7=Z+Qg(=Z;D9t@%!;ufTm>8bK zx+5P%SV>8#wuK%e2;t=9B)_yYsKdZ_WFtVWXy+`&%b#9Zh%n!)vn55m3CsMKnVA_D zTrfI1dI-j6$^4ocu8&=jBnFzAnpt9*6eSfE%829^9E8IQcH)dh6I&8N?G*4>VWFW& z)VUy}VEeq+)fFP&>FQmu3nq+^WMpKNbEH!$C@8>&JHD(_Q&S7&OO;0?e}<2bY2f%L zF4#+5SC<)nJyGyQ$1Q<}LiUCxh|H7_C6EwAjSy(>S4K0|lEQKP>xx7r^a5Mzejm#< ziorn)Z8+NT5D%GgG$l-IoxmcyS`kSO%0C?z)ju~Jol^*zjKlDmB|m=rSejm>Q`&X7 z(u>UclJAQ~@osHR&ZJOfWhER0WG3uhq^rVy6QVy<8{*U?_b1g|29BCALa}Hpzpya0 zK21JP?BmA+h~#Mt^NF&Gs%k)17G+ZZs(27i%&bk&%ueLXi^%w2QFzKbF2jUxZrH!g zYg}hGl8NScaVXwc<)7(h`DREvLV!;Wvk^u>d_Yo2k~;YP`?sQ!5-UVWCPkx|l&wbr z#897gDYFx|8;GQszdqf`pq-!PxbHxUT;8n^w$gVV80r!ewR`y;_&PXLEo+ucB0_nn zr_i@~bRytS3w|&NhK|~%RMSj7h2)>v@-q`IIz1gT!=Xm3YDH>u4xXAMZ&!T47+-u; z9d@hIhcJARZ=uVDyo6F;1?Z+0h&&G{ixWUZ z>Q8OeJ;G4Qd=A35zfMZjikZlS+5V9Vi(=a5LZ_1WRZzC0+s^zPgyXzSQ?1aXo(Wh@roSd9l8pV;WUT)x+OV=(sXKFeOLe8f_ zT*@Cd6A$b7vvXl-VFA9OEF9YmF5hshk3I!{==R!j&Y(O%ptk0Q#tsV$%icsdXoR+%F`Rp3OOG^rt|`Y2Q^KGc9zWDOLXzrh|0?OslUu>llkG$4 z8}_upY#~JGNSa`r%A+gT`de=2CP4gZ>H;C*dui#OTdBY4(An`*FY-GtbaA1uTXb2XXg)KPYGa)!+=<1>&!UI$SnhwG$E zW6SgHkiXkjde-xsHEjCKNVWYFa}L7tva+(7D4kM#C%)AD34mrl*cCRPiU9+*;P@IX zsP_K-^FO9YhkNQdTL;ILX6cD^8gfJC(y<1}+h%4sE!P)fi{6JV6qikN;z42v;i!Ba zTcg;=zL%8v#KmZdC~zoOFWBD;X?b{BUyYtB+~Mee3myod;-|DP1SgRrL9g_-+prtw zaN+>q^pY7;c&DO5mGI?@lk6lX;oB(Vt4l9r+|IeVL_M?x9aBbbcsF-u|8ynW(&`pL zO{HzQ+@Asy8`fv)ex&p=VW&sH@NWneYzOhJ`8_v++HSG?BZ7Rduf}FhT(3S<4a(vb zFT`g!#PPhL6JcuiZLt+zsv+U2Sf~bT7sqkh{5qlHBDbr+l=uW#zjK3t721KIi+7bZ zS4!r{M*Vmme5z#t2oOs;?nGJ*b2GcAZK-1n3=DABd*Sxk!_S>@Yk{YqUAgI{%EPc3 zFxsr#++537B|S!u>1TA)jX4@_r8H)U%(ENxUN>noFfs;!>O?|9;#ZB|;)PXjZ!hp> zcdZ$ZLY0Z5-e|d?U=o4qD1>iScf0jWnkzwtyI7-ISy9pYjBW62sb%Z1#A_C_#iSx}>a7OQ{Z7uF=rgOlQ-bwqdN6Gt+EAD{c zpG!=;@pdYxBbi-Cj-0ikk`k&u9k@|~^&lZeXfXf0r0ya&OcmaVg>NVd9N(n%| zC8_1^ZyZN0oYWiS^C~U5msMOgcV(|{hHF552XFw0pHo(#&;SX@c0NBp-)Gil&pA7*Wo}QJ zs>8q9()G0`3-FouQiW2VUsx;)>fBto3%wtFTI6~chy?>e^b7HuXmU+AGj`uUp}DIG zg?^l13WNdQuwd#=fSruk^xFf`v7_E>$#{7QZace|>N*#zSx%Iz0dO=cnGK5CbV;Af zqMhsO>ynK^u>1N_eU!XT9Iw*M58awbLFm*r9krdUf6A4D4ssLt8~ljXn*x)x_UX=d zNcM0rC^Ja6(3VZ3hvNMgow8V2fZXYSa>>8sVUAP_e2w7!vnuE+f{7(-&;2x zakW#!ENgLxfc6h19#9hjBpKHe05W*~xTj>1(2P#G!6Ohz6oG@XRlk0A;Fav$Fbl(v z)AWpt;sEc#p8W6u6`;$d>3y?f$5VHnw!y<=A~=ML4>Y3tT3cqeuD`CPkY>n&3x=qM z^-kNxk3Z2YizE1>^2zvF$Z_TVtw)2DnVuM;Mg|7wyyUUhQC9v_DihFeA_lmEV>i!9 z?2VE1L7Q4BPU|Y68K#Hwd_vVFLULrw#5x8s?^kCmUV~PNjwuT$dgH%*>F``4Png1P z`=LN0K-N9TrsPMJK5V6dk2h#aWTpFiuS1bF>4qi7Q!ou=ttLZ1`Pj^hjWY_mFLpPk zPqg+XsQHK~W67IzFe|6fYG)!k!tlFPYipUKpM^bwh;l{pk8S9hq{^GBhJ5s{)>cx2 z^KTon#^dDCAlY)q28N16Zm+!U+|b}`iG;;^5$R0wNdcU8?b>EUhXLwTlpeWIukW83 z2mVxfP^y-2o(+etRlZ_k3e+g>ygb=*FK#zttZ3T~3fVq7xJ9SP+E2=eGs^kKN^0t{ zMg-w=aipc(lmXdif@x8sn5$4J1Dv`}9o&>LW8$YsX8TTA?P_q74gh>0HodpgTQjn;J%Xp%FiZN80Jimj zXc;fjp4mCLb#1v4W9%6OFKpL&(mc4}Y`3>J$TgYnR)jl9iq#aecwiZ(yjhd`h^m*89`=B?o-^3qK z1Avw3FxVj6*(eYImHb$ddJy$BFmm}k+<*T02QpNBdwKkJ$nQkH6q;BAG7$(pdK`oe z%>n5pWo1|(WPwDkAGc~({%DCkr5~W&+3^JAFY)mK;eQcO8t{QXcfsxyXU**CvuDn! zPHBmW$VFq*uMSX}Y1=sW@@P4L#Uedg+SplD+}GgX-vL;U6e^oNJn3XF@`Fh3=4J{M z`0p8?feM+_J5P=VH-T9fW8Rx6>cokf>(A9JS-O;WCvHUBdXWEx7Qz8Hb;5)+M=T1+ zy&)KWNK$}bVPj_pe1}hXc(`~F?l>*M;$T4%{qz6tKEYDbgt9>gww5{(cF2 zd;6^RO#PoWwT3sBC)&E=zIWEn|4eM@vnAJivcA5NE+GfD33dr!ND3jL7KQ@`5UjsS z!VD7FEpQGeD@8y{)NW*fy_uSt0!UOlyZfLjH8BxC_8dl3Q0L@%(_;v>v@f6#X)1&i zgRBD_`kTCI?HR)lhU0>jJ`;xtzN7i$X_c8LE>zU9^L*1PQGt&I73^|e@$)xWs?^&d zZB|y@*A#YjS`@~9A+7)ggI}u+5CgQ&RE04G)gVYE;25*$oSVk=J^>P@SdGZ}?MHyL z=%xoxkNMh&1PLQ@w@`}bIj#VdEm<2i<6uo4Cf(pfyfXFnARXQ;C{~%Ne9x$q&V+?$ zD>Q0REznGpDnD^@HLg4ObVGnN-|LxdgZOap8GkO`5f#lkRWKgEo&uo|^s|f81iYV* ztdRTDY?IU17UE)Um1J00sbdT%{3@k5UQuM%Ttht?9%-|#2%rY+>lH~RS{p* z63;&7lh;y_v^<0lRFH26Vk$Mm+Mh?=^?Ic6J0y03-PNG%;Alj2ajTu#L5&Ou4$c9U zj!XhMN|M(eCLHAIW!mSp^$1YZt(6NIrvQeP3rx ztkaIXE~eL&YFO zkW6b($iIdpJ?m4iJH^B!k=AhCTU)%Qo5`LwjF@|Z$4rq$BrhN~FG6(u%LHJ^(%cKz zlpNb76bIA&g;S6*cGn+R^L9L3$2UADU!XpWoaiLTXPFmEX;Q;^&?^K;YjancBu(}7b!J*-mduHSTnEJzJ^>3pJRJ2Gj5P6tj4-5QpOQQz-7p&~dD zwo!Etl8P#&rl_pDEQeQ@b1ed&BjboA?t27T3$SD)xvt^pEuCDht{WNtY3(QU&*L>R zGO}%~2M!Sl4c9R?eqD0d78$aAGZVL-U-UoEA;O*;au^l^i}18&Wn2A*?(M+v4fD<+ zn(E(0JO_)gA656FI;6Ywc5#GWC3=5+_0U&9e*$}Mxxl=;{^d`)%j&Qg)-&Ss6wL+K z;I)7EVyFx3g^Z`fveGfZ+0AoE*;%Q=Plw}QdO;7Y^k^x_64Vmxp@OHsWno9}%Y{j7 zy!xNr&WCYtJ$z1hO&d40VkJ-fd@67GLz`O`KU9(MuytcUZ0HFY*w7D$qZ~%MDkzZr zNg0IL?=(7!Z%yYt?t(-gmY7fCyPb( z+L)19-mVvKdG^m8hUTi_3%>TCh9*dV1tBwBk_u#Wz`0;&WM#pFgh~^K3a|}`P$0|$ zs(x#tRLb0(9quFG;yC3UseJ0{#+Yh)hgQ1_M?SkecLFR8+$Y;;)8=eVbh7;M2FLJO6qR zRg_#yN)wzV4DR2GQjy0k{2A2g$gkw^C!>>CK5$jk)C~LkSBsjKmX`0Eei7K)FJHdE zxFj7Ex=kLOiUPcCbctwT}E!wi2~@*W&)|m8}rwmcq5ecMKaloOAI)4Qu;ZH zP_?F=cONIX6GPoY6T)s;TsmuXTvEl@BeOcNkJ~{1p&i?iP!*730+D?I zOJJiRS?vq!2cW8s0rln;Jzv%xL3s1;+qWT#T3UZCq2pU86gT!|muJE^@@RS3jy5<_ zsQ6~qfi4rYO$j}Xj;QfVG_BC}z^e#+H%9g)^;G_PvblXikORh``Z(Cb5SA4FsGdMK9vr_rwS9w_(jWNu@87bUmp^L#0PuISD!b(Nrlkbf5cR2< zjqnlF+rMVw7Txdw`tb=rNI4?VEo9hem(DO}hZ_=`)kl_3~ zL~f?XwC68M>g(O2DJeHUy!QNZlY#?l8-XHHK97A9W(F7h*aR*gL1c~i9k3YAzECvl z8;J=O{{0S$s>$WKU~Jd)gOnubH2bzX;<Jy{Ye!}j3 zbD!WW6a{zkVSThvqc3QFKuta{ZEILsuTLs7G2=a;rmrdU4YHEOV3?%snQe8-_EuiJ6EPJ>-f7{>{@AXMOCE{L(Mfbv+K?fy2#r+afeG=abFa~s)7PW2rJpIq zW{c%6r!?g14=j0(N5dvhih@}0zBu{sKhAIYG>yRW94hPh+&}A&J+^Y}N(hGkZ7&%l z4a&!MD&JHh>|@|lp9a7o;JtK8rIeJg0cQo8hXDDBa@~Hc)6#DdhhM*>|4K%nUhEPrmd1OyiWUn#@ygZW&PU9MFG1@4HZ9a-fW@`vHRASb<22J>v zxHz8tewaESVkg$a<@5aS%g*(hRqWtf+4tJo+AW`_-Clf-sm}GZjq(y<3WWHj;_%i$CEH^R6Y3xMNXw8u!E;rSW zzLu#SWYNw6chaAq_XKC|gS6Tsg;SU1VDyPP8nbWW-RV1XT-BG~F3z8T-)}{IIhG-i_|RK`aZ>*f z$Ah9)24^{&R+v=<89G2%<-O0R+)_?yH8sk6AuYH??CQKDJbN^#_xH^Ex$ zOIpy?k~Pn%{nJj}-Xn=191$#@ofI5VEF_z0Zn#H}9>Ge-aY?}KV0p1e&lG~qkA!ZW*ngRd*%r|bm?lXzcAmYG3ii75`6UN9=_fX~4x6J3b6ij0`6d|BG!o5Nj@5OI z?`R4@dBBn^2fD(W2mfQ!)M9Cz&we`q@x%^UEhb@(>nUaEnBED9E3tmDu{d~mco{!_ z@K`0cZ9=b8g8>;P6S{f*!bc9{?zVKEzpMdRnr-7F$k1`y%>HO#!aI{(G0i`p679}x zZ_!#z&&kF_#N(wwZ(7OofX`_sTRv~gsorouKXt@qlx8#RA=#LL;%5i|W16+R)BgYE zjTqUHe;+YHAmHrW)_6jJr`CWK5>JBbB4+047Q?&1WUs;cPys@r*e15VAr&d z-2^}rr(FkH@5BHImfDyYz+WKX_g6`AF z-M_8`un_SWJOa7;Pw#HjyJqdCgnrgJwC<;7H+_-g%z~(OObRlc$L{>xF*B8`O0GmH z$kZkvL|!kxQ&JjU;sjR%MXY^Q6!0j}-GG(E-%YDElmIKRSN^A)>-~Ks?EsDK75mTH z4mOojq9(y;lCYd_gwXIMT#ua~bM2cUP?d;SR zt9jSm1@{lA2WsKpjU@X!DlDVfJ^n`?g4d?IoMuz+!ZupY;Y_YKBYiQ_f9|`!&Mz*O zu(4r^tz+NH02U0a2c${;C_Ktdg*J9)g;aUaUx2k@s2l zed4qCLHVWslTkrN)|blCX2J)QPd8&MI4*<(e(XILIr>#8xgjYmdgoR<_~N%_I%k@# z6Tb1K(8vEct4&rkBXL`J9}0kYB==*9G)LD?Mmm{_2pZsdK@y$!&*Gu>7sUu7f#?Ml z05y?=#wWn#xU z8}!-$iUN%zP#%CKHkOMc0PlNw#f?q_I_1>~{KOHG2tn=Ghv#}Hd$+f#fX5b#1(lZV z>%Atw$X8t5k_zI}F1vo@0lG0trk*%Xg94~4=OIa_SC3I1OVn;<(JkIQi7?B*B_8qG zC;4`@&y2+9u?hDezS*>Grx#fxbc|(uH@70J%mz=3*exH;v z5}mt$PH$oEGUXB*0%ZPIoTd9; zG@DIpZpwH3k9NA`e_jN6qe=fOTN#ek@?#36O!IDDqpC17!bOBD3@e3$xVl(} zU6CTP4a`t(tGtrs@V>U`cKV=a7=V7m7NP!Q;T?;Vvk4#vWdHypDnDsTW73=-3i+siFvHq|$fv7bfr4jywC4nLlShScfznrN$_xQtoulM49- z{#K86dUtk9jsicx#LyX(==lVhw3hNriks@@?*_sR&b?Ozi%Q#sHh|vYm<5PnHlsbf z5FoLkWM{`cTJ3M2b%923Lp^XoXRkMrnXJ`}9($R0Df6|dASB~vR^3fYmy}vozH{A} z8v(M(B?yXI73t*d&!3*3p(9|S=&cE0V#p2M`;R!bG?NH3poAqQC0nYT&SqWOL20z| z`^(KAQkkI5pA3*X_**fI^KUcmuTnl1z{$krQ4IYFuU|{wg}K!YnxCleQfX5}oUJDh z7R7@y@8pd=>SZ80(PecLXu=0)1xFBZpISD=zpprEq~2h91gUDd!ujPRWc5LWX79B# zy3bXA;_%09JLzO4c6(N1i8ZS*<~(ej~fnigKTq0pP7 z{D^G7x{zv0c$*RzH9Gal2O1PN_!^`~f|hFvyyOkDYb#oe>o{)5`yDm2iwH&(0Bu@; z;)nGWF@Fg|<~;f5r!F;0EqmN4^OZCByy?OAwNFquySlv+TFupj6A4_6f=bM&^NW_y zMhtWw>t16)%C-`{18U28b6p<}>e4`*dL1%vUxz~if6@vaM}(F{!A)SFW9&rMHQS$l zjxOjDwz8JI8t-pPc=xtPqSF`&(i-BOOo0SXVVpaA`zohDDKK)$3A7&=SO2}{A}1xz zabO@4kaN5M_v=gf3iozf1_FWZZj#2W&Y{>pQpMLrfUM_#dg4pt^58Df-{7MR@xRVt zzFjw#k>P3ZcnZlljq%RvC>Q$AQWsxl0Ame zW8=}2MQ%zXt4Ck--Av#xSve5BG7ZwubnCPx^at7ND$2%dBG<~ zxO&fE82(CG21Q(vdMOfQd3m{Y!LAiZ>;T->-NO1zRSm0J5qgZ+GVir3xm{b^Yp67D zA1($+&0a87{Dklkf z3$FI3;5%poW)}bo&NtMdl%Zi^!}JjV`Kq@wqr7)mrjo3Sg=1EOD}N?D zmB2>cV-}f-9AvR*>qt6}OAm_Q;Mw@8$)4CcF%)prcV_teRcDeeuG8B8PKp$R8VukY z5bD5fgOvk-CI;FlSz_7x-~Ug(WZOyg56~`xX8X;RTjBTbj4(0j<-sTg-5kPx+Kw9T@eu2oxzM7Bn*PBMbj+LgR+s9@&-bs~Uu{io zVY$q@{_|riMYbb>B>m)l=RsFjhdLhnuirBGp(N;UKX!=UwF6>BMNN%nd}0E`Ho`W) zY>uXgH+;kx*goraJZ_D!lifVI6r7;gjEKL7b<}{}0vd-hs&%otbWFgi^c0IA^9{a= zGPO2xcIE=o5Wv-GQSC1Pt;u)Y7Sd;7FP5jLt1V$P5U6`9r-)S=fZYIn0!8VV6&Do) z!xJQbeeqd}FAQ}f)->Qq5C!bgO2Ki!sbd_D`vk9LddtehNb zBSJ}*x|%5~)@p#*0S)w%<^-s1fV^@l_{|U;Ij_sJX^fqKza!zN%tFF%ZlAJ_CH|8m z!s(4V4fRCb*=u^d63&YiUs$%{kT4sbiwPCE5=171&IR;Is5{#-)1#UuCT3jLf64b; zPEWGmvd^)g={lJX26ZAZfvv>S`NUeFwkh$(Tq+P7RreoLpK3ABNa{BMMZ?M0%CdA> z|79FU`ZV>l)KqlP1N-*vTbZ#zQ$stylt5h1O0@YZJpUZRCPv$Y9eijXD{FNO$DVmL*qsyQOBbJ(g&Ay!hl}#U_Hs zhfDY6;yabs%n=6Up_F`$vD2i6t^F3X=W!gEu_87n(l~MuT2}9yf@CG1T?x;d3uZuIg7BILEN8{o4prB7p z6Gv~rd+J~wt>s6$#c|MutH}SQnUAC2a|jgJZCb^3Z%LsF*AP5 zZ?TTy{U{^NE;5lbgzX{36;opyeQ2$L-bMccpFa%UGaq5y8q`ygrvkKK~6_ zmOn~+=A1^p`3753*V#*}G$Lzc;c59|Z5IwnXU2Q?J)Znnq*XE#Q2T%q6VRBTSOdxe zm@qv)KKw@u!|>za);xDD7@5+?%T9FoYxOl~YBkB%qIvl`G|YMyvNK-r4IQt=ic7K5 z{qa^sI%XrXVY#n`Z^^tZiRM(#pt0`?G&XM$L#syNETKEj?Hi7g)o`3wbsXI|B&{3I zn03CbV;SJQ7AwmmL2(Dix`65j=?M1-h8RWAE(m-iU**CZF%=V(d2-&g-*{!eH<+hr z&{xavQd8o6BjHHQi>FNEIgTdBIg0|Byp6lU-gh&M3^8MQbhp3&G(Uu#6B~}8G6mI} zHaC6<4*fKT?vg+w*8Wk#i;agL zpW|nOQI^yzt!Vmz4Jtryr}X|k3J@R!wX>2B3dHvW+;dq8^TQ6CR1(T--G|Z{(r+9Q z;~|Hmc#KZovFj{I-(GXp7=AVco(%c}NZ&mPpNmn7Kx?dtd~qq3Iws%4Xzvgm8PGd=fMX*%C*7Sdll zEXpM0=G&c+24~BnH`0s>L^M8Q7CV>xl6O=nqCfLIqo^&a`3k);6=o4=(tsC{qoAgr z3dH_vNg`NCj+nw2BwgP$mCSeWbQWtC!@Zun^-3g z+~Ovtb3>D*%H)VQnA0eJU!Jv9PW}*ObwDo&tQTy*;b5A;kE`8=a@PX`MxDmz3~Jwn zK_$RtJq?m~xaZX=`Wv~nCDfm&bF(4Fl{{emI)~vN=U;lT;JvE$&goV!+YBcl8HQUX zh=lHfY|L~^iyhKwA2EJ8W6Hm-tLb86_da8%W0TBmYbHS^^=4X43Py_6DaCZ>poUlh zp^`=QS8rXq1(;3(qOb6DvfjzE8^7v*y$66Dv=P4L-62lolxjEB{LeiA84U>04ZHOW zR>|`xoR;HgZ{$FC3UHkId&h`*nO*j3WP8LC3MF!WR@2)9cf4v(ydCyXofQoDoZr&4 zPww47u#C)Z*M-b(C><@DEdHAHosW?K4y45ug@nnaj};p|9?+WESy@?KmH-ffL}fW~ z>Tv{uDL@85M+5**bJrI5F{sErOa2o;>0|CAC#u`KckjA8?F8r<7>KIafBI9sUC2#A zj(Q2^Fv9BJf{l!@n6BH;%MtSlKHb^t(h_prCM0(xZE*fkGjZ56Qq|3&g%07l9h9QD z^Z?b{oEPq&!BjZgR3hD*O9hw(DEe_j6z()Z^AW}?g3e-DR~hz6;(W_+jExTRnLY0f zR165UV9LF_SK+{hd6c(60_KSJyAjYL?eI!-^`i?l$nxiTCoeBQ8uSMr4^MAvycmHP zTTxjVKCTDPna@m3?U~QO#zh{@!9zI{2n6`$aUi6uJJyp%31K0^fhOY3G%wMAuzFws znL0k^;BXU`P_Z9GxJ2{uN)o$)O}6z&<-XSew$Ty|)lMfrMfXo=_8~X7{@$R?=azD~ zY+DWAZA%*zdKFM^olASOgYM52#)_v@e2s99i zdeDjVyjTZSKvPM-;8^Sn*)sEyT)4>mxE>?FVKX$DBq09<>i|PAqRqz%Kcp96;en zNU66HsmxCwH6_@(ZoMTgI;RR)##%M`2__F zB!B1tsu<(NZ#_GZjjrbW>8?i`oBNGKg{Y#+F`wxN{LWsZ&*_k9 z+gB$RrYdo1({zGRh0wGy9h^U)Mz$P2+k}?3Etu+b=Gb;P3kp0CkK}EL0tv%i?|<9O z)D#b{`QSf$))~*U1>%&8G7?|h@jMj#b zy_tP-QClbXD;Vy6QTKMy0K0eFBYT*~CuT_Rjo=kLqS52-#+~&^ZCnRW5hkg_mDIH) zcOiGOTihTwZ^3>?Bc^&Bh~4!;%c<+`r(K2SpsGsyVXtFE=bOWYB*S}#h!W6=q&t@m z;Y+Hmh3W`)wmI!_t? z?%T|+s-AZ;NhfQ%a1hW=;UKhV4(6qK(4b6Fb9Xc~Hrq zWeT+Yz{y)QbwyWN*Y0C?;Kyv{76@+3Cv=#kOz^I)v~2$d9c%e8Y3YIcijlEz_|a=r zkuTLLp%h+dRrakVsGx@`1kZ(j`^n&KYHQ-27-GgZZ*;s5OTeXXmfo6q-*KXtCqF-F zQbv(kaPh=L@FG56QCRr6EqeJV(cmXZCU?+lDTVpe59&Wb?d@=PEGwt^Nu`e!-SltA z!&DQI%SSRjKs18c#1M0-Gdtka#2Cmm)-&U0taf6~;zRVQ1&Y6Z+?$OMRf~!;m zv4>1jUHD{xgBJr-dbEekImzUsWMV_xCWNcK3+%6g9>@fVgwb5IEt<*82ZnazwtK%$ z`MvzLTh0+Wb!!oOmb!kOTs|;$MlpaLMu7*(^r~rAdSu0X9e_BQHO2tjUWVxEAHyH@ z@KsezI>!S=Lza6>rDmR34(od(|NiiVd=NtjC;j!?CnsNYgRZLAK3xK!J~jzHobw0jS{W@9lU1LplrLX6$#;|u=qo!ZSxnd< ztu1+ka4pQITpVknG42>x`|U^LM={*t4A&TVQ`rjwUWg_5Y3OxK-77qMrDt$#_u4>t zn_Cu;RbdaaWpFn-@7{rnYA`0inJ3~fUwr$F(hbTUOK9DT5-!z5ZRGBi{k<8~^z1W| zNznOte&o#n2PsKpG!v>4%8@gfW0Y&!0lg4ruVc&e8UDr4u=^`ZVt`l(PKii)M|rU) zPK82FFz?74W5=(hn*NllqLZ9{&mQ6furP(2yF$Lyif%B+EPU%;`$5ZHU6;~XrPmQ| zerJ?Oue$q!hn+P@t+2;%H|PqWqQncc zC8LEB9Kk{SwpbczF*^SSW~fqJRM>*i_QIn1QlUA^Pb*0W-E|8y5FcEHlFuy#tT}zZ zR@A9XhaaI-x#(R*dEw!)Wc)LhK&M%+}=)m6E0;&7{LFK<3 z`9ZVV;wg|IxxG4C&yEUwO%qC)z@+`ST4Q$UVgrbk9M%SQN?ByGRM(gS&a&|-EG@;m zns=lJ1ekL#{m99Ul_frzIQkT(=4@Zw5frZP~c zH0XZF2vc*yq|zzE^)Vo;TtU$hcZ4k(6XPFQUWXOQi*08mHXlw9P5&;2Ax$)w6nzX{ zU|PtPB+W%9fbxtOr7*s1MP+~wpCD1!x3hMxwY=qyKt=uTsbAJrX+q5plpyZL&;;%3 z^NM4UKCkWC|GG&tqEc3vfu*G-&@qC}t{>2`N-?Gb)&mryF#UTM@LBK_pkFV2(VV)? ztgOUMOlZJnM#sd&tlJ^Uwa#D+@)MCCxsbES`;XQocKr=pKgwKz8l#M+``GVxNPln? zD_yyH8!>rR`E;L~Q}39&C1|@eXg6fut(1^V#|sxSe_iNJwHAB9+Qm8g={4!-_&6nC z^?Q1H{+(+L^mT19e8VafyG#h<(EmEmScCK$@{$*`u%x8ZFiK$jL`7R09l+E-fBwLQ zC*(-xs*2>MK7n9Gj{Q{krd;I$N}-;x2nb}a=4@VQ`U+$F@E9%p;`A{@c-BE7bE!Ks znr#Yy#qf7=YRJ_Z!`^4;2&seCz5Q@_$gqhpzkDeQ#3gd3iEGQt$LHsvPZ@v^uFPd` z&MP!B&@ZQ8?Pq#!AOw471{z`8{)3)9BPkhKSX}eVBZC00Kg>GeqeqTdO(Z-uyD_BP zNhx)gO!+j9X%Wq)PU||4AKu1ZhDoFpfE>`=2IK^>O4FRlW(t_u?_X^WloSh=qY?X4 zhc6ZY`6MgAcj`@`&fk;hMWXnE%5EFdnBD}n{2+qGvOCUCp08>)b3i}{^K5J)cou>+>0iGi=F6**y1<}7pq)c_d9Fynv?!GMnyfJw%C z!I}Vp-wLKHcbpL*-{fh5GzjPvfo4DIWYQGKXMe=}W!eQA!;###VRduh6fT9H6CTD6 zHesdJ`$q##sAfqlr@xMIl`FmyKg;my8Db=f&sr*ejN6!t+pE&%MIy87dFv{Em!)&u zD1$`>ui+gKIe5-ubhCDgqvk=M@H9ESqiV)Bl$R-M4rudWW7z#BFmfuQQ>PbaS#g1nQ2;;7%*{ozsIJ!}0RS@L{AUVC(-oa3{DLFhSB4_>ql3`56%$%KpxGUt4I& zTyO8nb6rPT@;IR4JsWB~@sDPsHx2LlaCQfJ?_2nonLG2t09-uI10|HDno^ZaC>Y?= z*VmV(G~!AD#CqEYX}qU^X#+ErdTM;tFxuBGDYy&)^G^vBa@SfSDIDcXuiH+7F0AeDZ!j9$wq2 zZnP*wn$q36#&O#|X!!}9#!)r_y<$<%+t=q`HOg)xuO_7mps;r_D9^~xM*)x@yBAq% z<}Hm%)I{Pd&CX%z(9kI>44DCcFi8)Zzd(}_#oh0J(`QhAJdM#RC@U`Bp16#24AhlY zbB%SnGv5mf{lJLv1ef`GbdQnrS0`3+$lqS`Ccrrcz2#`BPeIouM!B89-U&75^c> zI3$8VNHneY(_jCw{PZFA@sis0bI6e5386;I_3IqD%es-wSG#|O^sf|lgKC>8R(}Lv z{|HIz&UdXUG67!_Ax#o>EpboSkX!0wGP!^siO3SlV5BIheRwI?ruFVp@yC|1 z=^+?w7~Z1ezhVT+Z}nK&AtyePXRkC6!SD_9&Z`d`(Xz3FHDKe>&fN@*&;cefXHhT}d1)yAf2pJ-MG)1wLtU*_cHb^VnDvmhYcqUDWD z?WwGquPd(%NX}%Il3QAfcj51emhbbS_+f!^&5<*fxgII4f3WRnjzRGo?~{t-?`111 z=GiQ#?n13GLUWiCz0Y#ey-`(F8oYV?n-zop@;8S~OWlSHs^8)yTDd>^-8Xr4W4CaE zV4M*1QP3kqDKZD~?nNY5NI_8%(WG#WFxvcbB9)=W@p|PEoQR;=Aii8P7z!k^f0a~* zkB{#nkUO#gx}xBd20nvMmreHWzvf_rNV0w%ab7O%t#*vOCaj&@_sXsuzuc(LFSG4kCay z?WlUN9Wxv%f1nd_>4CWuAngOWlNG2%6JBW|0pSvWU7VjmKN6@}VKg2QmldpkL>CIi zVt$;AYvNwNk+uM(&pb&fTqGX_Uu~Pvfn0Z-ilK!V(6?|gO7+HJ{#-kUZ=OvT96$;{Lah6z(@Zy z!i1NKZ|05f#gEhu_V!4EN#eLhsZ_mGzAUb1>wt0qlQU5=uG9}YNibrqO||pyhI4_= z++MyqXk?jjWC7;`y|_h3CndbhVKY6h6hQDTiiE}o5{}j3w>cb=8#QCNHoM}RU&tET zhzYvE$3A|Ry|napzp)xSl%AdZICh<3^uzNj@7kqx-QS9}2L$228_10c-3MMAu{y21 zojhAt0XbE7K2|{|&_GqAuN>V8$cjCt&!llSzB?xNK7urrT#zsU<>sh4l*$(jZ}k{$ zo@gD-Azq~d`ShEisr$ScyNq|H0_ZfLIJcTCg9E(j=HFJ@zQM*%N3cbk4wBNWjWQ&Q zqIP_E!gtrOOFkXd;bP%q;R{#sy&OxEaN*P0O7O}Eb0eDh1wO=!Eb{B!(30vIO#Vf$ zLYry5N3q?wmic3mGW0Xxbl;e{;Sd*WTOToJrNJ^kc+5;6jyw>*Nz=yZFTe*0yg5X5 zQv?`AWR$v~t5w+F`6^!Kx~->F`dFNH-!jHegKVT9{uL1M+SstN z(|{%l`6ma(q0yk*P;86`J)=hd`p}<{%@#x2vcXdK%Z*U0I zU?I9oU!OtE5cmiP5Yq0QNK56{NPFhihrdN)n#;Ya2?W9hy^U+kynR()`PZw-8x!i% zrbd^kZx{6^P-vW@s^)R3`Zu5yggOueu0RS=^oKuU)XuSC1o`g?x-{e}fKYIi5~vc@ zM}L!&S}?7Sn4*&Y|0DEc=NV59pL*}bh>h4N+)BK%I$Aya$nQ_)x?cs!N1^kHyG5A_ z348Sy+-3soBn}rs$SDEoKA|b-Orh6*II?%mX`ziKLCk`lfBX=8_AQU|cTT+j7c#Ac ziWQtC0y}r=080Xr!@)s%OE_I@Gn1M)IA+0Z16G*`jz;0%K&(nW&~sbl%A<KA05os8??=40;WEL4dbv=Jo$*8b z&%%53<;=2ikK}6T=227gLM<1mFkT%nA8+`p#fwB~iY}Yu&bD`!^;9*`7+(1J%MHFL z6QUc{!?~}+fUNk;LP+bg%$V@{&6kdUVzk^YUZO`AY5F zy=wP6Ykmi^Og740me?I0`QH;a!4r#oEZ1s%^AmZz#$MZ_H{s*L7`K^*&HW~wWZ!T7 z^MOc{eAd9`8F#Vfu|sx5;PR6l>yeWO>Zxg(bL^lH$41DCpI|e(@BHs)f();KK%;M- zH6aO0;cVm4_gcbzA2YS_^9tk%cDM04-cHJWBxB6{e7;osFgQA~e%%GCiiKP-i*ym@YX)O~a(jh3-MA2qCv%$C2UoY}0&DJxfnw9s zA3d$M_r+DjWm@O&0utjmw+)t8g+^7RyoSZf;AQYeCo>Lc8O524efhcIO9rX>_9vH% z5GTW%o12xxuYU_%TG^t|eXU5no_iAQ$r@$;!ybwt%5N_6skmrXE-6_rar5-@AukvK z;UFY-2bm`wiDYisAIk7zWPgvBM=_)1|2-3H#5vTh2G2E93~SM*0$ctUQ3MMi0;Be? zupMBNk@0IZXSnwNVN-EPrLlhV+$8@j>L`yOPcaR=@pGkmcyWK*@A13KfyR;LYomBx zyVa&01Xr0>cD)+j^b#gqwQR&g+iLmFAMq#036+H1rb{tbAzSysm}FI`dO56*@c+@f;7HDM1qyqwT&_u8qeMk9*NydBPD;QLFxV`k&j`x5e7m90OTk zAe0L&!QAX;E{x|yVPO-nDGyn%(7&~8=iu)AM2=u7k;Co^Dw($BGKrn-AjSe=N<9&J zBZOkva>D6+(wo_@07Y6*1)M#=;b{Gna`c!E=&DYR2bADHL2YOkqQJkFCN#NqaE^fp zgLab8pwLW_myVq)wQ#KaQT{6BGYYq_HKNee-vAi zUbcl{J(I8JuI}WssH)$3(9WT?uONi``W#=Tor2OIUe*WtZ?u{U8-UpUVcs)93C8Wy zQTACplxGTVTmms8hZH3ybkcJ|`;c|xQud8YV5^o1;8s_Adz7&{wta7F?n^&93NM`bzlya< zJ2Z_AGbXLeq+eZ~#PvD5BI?qA=|QcpG@^-?SKE2WU0#-zk}_h;xYKLf^U8PR@W?o~At#^eC;C$O z;7Zs(l(tFg=WpiebtT|LaE@&udOQ1`JRLgN3ZLXI3A|zyt10V6)OOxS&Q&H6I|$(` z%ba{_)*1zB;t>6}D}84%s+lCM?x0SdMa}1z73}T#0LTGnt5b6;`zjYee4wI4AOI1A z@&|es;GF?11@t;_*o@0kddcX-y~Q+&hu+;|!6xsjCwyzr329@Z-o)AusfUoanOfD= zioE&&HCQ8;oxLR53I%r2ie779Z9qm)9O>tP9`T<2HjkKofu>`_0R>w8+PkN^kR2M# zje)xoZ~_1h>!}F4+RKSFTErB^8!PU-e`6x!G0^5x=m5LkJM_j6`F!TqQ7xeokc32DQ&2Z1diesXBm&*5a|zmB5?r?}+E4#up<7aME0 zO4PD`hPa~EU1w1XbJgajfsZ~8oEbG_70BKd6+HnVC0J}g)7$X}y!wzeK)6awPmhHv z7JNqcmWAxUJ)xAI)TLQ3&pD~rf8%BZvI zu+p%n4KtwX9O*=_gWiNIKFoe+M%MO8EZ=cl_MHd@O{_&+ET+b>mPj)97qL9&wj>S0 zrm04sb>97|hNFqMNa94Pi}f6X0hY{nGyHJLan$RlIXTh|$V=mvFA{_P#FOxyrIyKw zA;e2F$8bt_k@Sie+2tt{K}`B8_D z#AeG879#o9SbVwU0qX;glcoDBUXyx2;hCCVqDgouEm^#e`DPJeIDZ$fxa0U)02~27 zf#1Ps5@e1QbjCU`$A#ty_!*UUL&1>3Aka5HESuWw5MZ7)WRU?z#J5Q9DC>zsDct~E z|0ieKw@Os>@A|H}w#4zRf8G#bNoHMrB^Ts-{4~Nn?qo*5y1*B2Ge%3xWJ{d;qYD@a z?ECIp_f+Yjr?@a46U5{GXRf@y^54Bl{oU~}J;E@N!M_T+<-NB>QBh}rs*f>DS^D+% zgmS8z<2$LuDDJRP52~0dc!Jn*P9o-Iz)j=%_~@L7O2f>+wfFW34`LODtJZ?EZtS2& z85suy*5Z3g8>ruw&6(>j;;?p&)vS?^|3u^aB2}%UqXoA-<)S4|dx4xO`KW`$|0VHv zT_CIhlsOxqCENbO#qib$Z!Uw^ie5++1VZJTP`QL$^m|4qm_H5@-oL?#y~8!>b@ZgQ zEB$FGk>^uI-M8I`-$7vxd*<*fJiakP~isTtPpGRPgcgckgY^XFzz0)ud+(r8%5E1~P z4A&1+=s*0rqbc;@yNf(!=_)#^$N%c4!^XeG&XJmB_22w3^$&!B=1_^$8P}E6b*{%;@9v(wLHh!SUw2=(@Q0lc$pNU-V<7Jf$%8 ze*T0Rm2=hOztf+`5Tnzz=M$`xxfv7^L-U4S0Nuc@SgE6Usd_}8?=wC0!mO1QZcKHY zsuJGUVXSl{2hh3lzBW?}z{cS}SQ7K!$nVWEvuNI$YPx_{SY^*{DZ}i3ik``&|7Fhl ziQ$oIXLc7?*P|kt9P3s!ozRt-GAZ;?xAtRgra1Tp*`Ti%$2oKH_{bwW_i#1B-IC{R z%6hK8e6jr2^SvJ3gKO%k+joSWIzwIqT}&>35V_Pf6BU2DEe^vu&Tsej>W}*EjXhq- z4(}eM^}6OL0eVwR699d-Qo*B!`I|>rh|^hLZ5d?oWEntUzC;o zxY{sa^8eo?*FqSBi)v0@*k8X$NZuoa(#q?q#|>s_8tr_mRzj32NxQRJ%UY1c-YS>`K!l}#mi8){8M`P`};RA^@$m)m*T`x z=FkStpU|+B|N54HEyU)FsP3DXsP}vmQ+LaY(ZVeF37=vCF0-3+8{ ztfrDvoy*}>YG3i&=CNy-5htfSgJEm6N(DIl_cHL{WdMMu?Z*XyCkgj1eK!iFN@$K? z9I|4O=|U(_Pl%DP8eQr^jlU0MBYHG}qMIF>Ve5CUTfeMbjOK!(IyqoVFe%^NjGrxv zP4-|{$Jz3mt$M~)EE-2YCJo7}840JcnF|yDMmgdjv%Y?yC{*TJZnP*B@qAcd+JX1& zJ)v2HhY09k>JD+0GojTiw0*&9?|=n*S2d=3W>o)k2aLy$S3HXPQD6QS*Ga-kzmm}T z+*8RN2^#<$A?iX0b}UxsPUFhg8Ce)>1+yr%Q;936(>-a7{AP{r(o9@F&0u4?F-*j3 zrR)+9QA(``3+*v_-7;J1^9Kth4LI{k%hUh1jk&n_xou!ua!KK`5dt-BrGxd-O&FX` zj-i;2$K$Gp!2m;flWGDR;b!MUW2!bw;pOFx&w0E*Z!(`-YZd@eu{kYOVsFX^3sH;o zqb=Th_uq~*7dAiVRy&rlKpufWC?=iJC=&=Llpk7A?C30FWgqI%pUViz``m#*WQb>~ zX1$d)Pk$=h^) zWS+dN_c_btE_?)cJW_QevCg^b_1(uLz<5-GCA|8K3y8ZE%LOk?qxFdS@nMwVHH)=> z;lgQYQHDCSjgc~n-u>26x;j^zWAoxPmQ0I-Hg9-%*g@?hg@!`!4?J=MVOHE@Lf;)B zsk^TLrqbn3@ZRynx_Jd+1yp2)Yy%XyF}#Ohb;9*!UMiA3fRAj5TwCZ8NsSd#&{a`9 zuJ^KyNCKwVzZ-)sDvl%mj?qU;A{$#ckcs z)JocBY&vR>gv;xW$q@4G1CCGhrFqTMcm1@X%HskGL95VsOxkh-mHymhgIQyK)l-<3 z1;5}G^jN(3FFtXcMuOC=5j(NVcRuEsjZoqS5!K*IvtW&%NKc|Sl_JO|rG?2Bhb5h> z{&*dExeZQW-QdAQ9hQzCk+<`wRB zRsWgJ;2Coo3-zJgQ%^D&-SL+B+rLA*a(G+@6i(#^j+_rD&+V6l2jg9n&WzEue80b& zh4>!d$f_eLD!Gc)vle}uYwP31)@nB*7JR4KF5Af>VwuC$G&vOZQt;4vzj)TeA;$G8 zuj#nI-dEn7ZMcjG5dQU-m`w=SFYb7Qes)*WNcn_scA)t<#f%GJ?;v(@^_P$Y<`sP#D?Y~ud#S&9$T3JXCGN1WIm&EwObE@$^7yWk8M zBh=KOq$Elrm(0nUNqj3<8K-j;^P-yhKVxFGod|qfO zJpI)dQBY}xRgItJ5%%uEOYuUdBLY|DJ~8hwt7)T71>M|I(C%PuFKZ(~cePkm8G#?= zqAHt^funF%-f3_ulC6|ftzzA#m1_>0k*U0XQwQc1O;V3si4zR=?GcR|EokicnfD1- zUe?~aH!6M>lLH&P2!`YLCSpY}MMO@bRxgp%Ky05nd#k1H;#u-P*IMhC+*TelqvCe= zhm$%IU3NTK^YU1oj#Pt2+1e9Tm*%C(2vOT; zyY9(08U2}#@$~)dXv5F%QRm>uSMVB#?4S20*?RmFUJmWN_qLm;e(|vwrm~U^-0OJR z+9i;D|ClT)n?a7KzUI8d;k+ohj&zQ0s?Zs)3n*-_yO);6QM9$l6N`V@p$8q4@}Fj& z+a}7{fK}Rp6Tz~Wg2P8JW0sSh;vtqqO$+b++47W}vxGULmkm89YTFcgpmP6G60QNX zFbwY{t;{=X2oQ))f`O^l=5EpD)BQkMN0FR$Ar|0AdCK#DhURe|*$`sMeaOdOjV*@a z3T$R(4Z5&>8LfQ|n8`;**alLslFVF}!$bUPuv6$$Llf}`XRlwI9rq$eO!lpnDE5&e zcjPfYnX&|aaINtMm$-5yOY5w9FC9z!tgc&mj^7c%dZvf0*S39Ig3E7DmOLxgN!iFs z@r)>&VP9Z}vMetF4MC0h2xpiKNz5a>6_m+()O)ZlUX^ngHZoP@7{ROh_mesdaxJ_P zcT@#z6&$<4KR+t4N&C{RyB#1iNoIH=A!O>%UHU%o$2#rHIIq_;`UYoWZ&3BC{M`Tl5(K+twQJC&tq$mI+-X zIY*tz{=v{{XnlO4ZW%1Y*f!O1*MN}A7wNdheQBfvHo~hdPTk(<--cZeuE&73&!3wg zZZBe_rhqkqs|srr8(6C3d}Ciq&U2-~=Alc#^KHzqc}zcT_A$|I{6M!;ia9U>tfrpG zE6uw8ph~sTI$jiDjguIeFxz9z=ZYsE3v7t3l0nK@&}gB(~9a%w5h(W?a$>B zWm4PfEF#C*NRQ{|eyV;lyvM?k&kDStxS2%Hu zYf=1}5=;%>#mXrkZM3p)pRRsf!fA54yW>#x!wd`{D1=*V#Il>zWwUw)XvGvv7|#cd zV^BcwJiq`~t*z>A5|sII0^=%^-G=0NlD>WO>@s_4)gzm$BTxEc!i$*FH6J_WP{P(Q5f87~te|+KPI_k+2>jN8sj{@y2!Q#x}mw9-Q5~pGC z@D;dFYQ$$bj#g8^{4yMlzyM|x=x&ttlz}M$T06|?2rz1{U8}zUnwG>19Q624=Zy(t z+JjjRS>KQ0>x}ilw$+j$eur`PxaxRkO0GuEoKbWfurF5(uW1>%0B#hE>!6ii(UA_wfdq62W9S^KI{1%x()Syzxu5;mu zhTIXA<=aQ=E5kuE@n}BF%y2#7ijvSe)(iBFDG z*4Q3ZgYCebhPv~J_3!Zk!~;IRoxlIvLFx`9H2{(g*{R;VNd>4KMpaSJkE4|-%UJ6f z?r{4zGx(bVlvgDIRE>{iWqM#LzoqAZ@yP~eikETGE!bseTiRDKzcU7zZtb3GcSc5%?i5fs&Q{#kXglnLk1@Y z(<$q2j8BrR`OeLocKEfij~E&oDr`J?fm1^Exeq%rfo?3qH#P8gDp` zIii-&YgZ!Ac!v>z{W;SwFs^Gn{+(&R=o9q@YYKA0$#wRIkiExyq8q^6?i?ma08<-A zuI195nrG``Vl9kZm^9ksbP;HV8Gs4h1H)^Oqk>m>aGT}V9F=I`Di=^}W0;xGpNBEB zio^FEvip13g*nZ#^ELAp9~y>S)86G)I?3|BTMl=f4h0 zE9}=-W_jl@G4phJHEGgOPnzNM+C;bJ8(Q^iWC{6i+<9jt-OjF=+>U_4TWBsyQ+NHV z1qdRlXHH}E5;3NWx}dP80mR~4g|~wsP-O!%13a~FL(zPz*cjyal_U$UP|?ER%cJPL zT)K8X4x*SYKa}FeTlJS^v}}k6wm8G}$AtclKBKD_sTQ(RglGtHyLa1X2t|IY6|!sU z-=FUC$Md>HDn*L?mMB*ew6N#Nn|$>V!)E5u1xubbiH+uf^#{&(MukoxV-ht`ugcwo z8$#9}IoJ)C6Tt_2ygOu7YT0%ULb>nZV*dT*@2^^|;1Hivb#XJDP)}p>yjGyOHxoks zk5uTJk`-`(tsXvyi^Zeq7;5)JIil#Nwco}XR41xMTE@V8Bu{b6};v=dj9+$SHk8zDU;XNGPvp_V`cpl?( zO&kgq)1F4xuve_5_%gRZe+MfIe7T;0O&CbSz#!Q#3Fho^2TA4&W6*@oT z(B*kg{BBV^wmIURX7Q6t0eZ975XJ(v#HAa8*}=`>vV^xz5e~{SJTyChl;yc2oOV# zF?oV@7>vdS=Sl)jY)3sO{7MN()ZgLgqlwF_dr)7Z$+2bKV%ilpM^)6XMWeTn`?DsG z$Gu6(aq~}kJz16(-s73AY6~>mR_o3Fe zuX|$hsZ{7WkJB7ldM`MG1zegzqPsePJLXUY-k@Z_G2>`M@VUutwz7KNzutJxAt56L^wqo;?CnAKB_z)qSJ87&P?9;j$k& zE^G1M6rOYO`?0mU<2jmWPyqVdc7Pip99^XDLYlQ~=jK4K=9euYOs3e`gm$2>BK}EG z9~ICi@dTS^z@J&MhCb--1rl#p57R~D+Rs*CAMn~%EXX(nU%*T_- zuz~|mYzMv_v;;I!v7d%bT?|U%wKcb+DUDgD+}!d&{vWl6^YcKs>>n8pxG8yph!sUb z8h+{oakj^WtHrs_Ra}~yYT(6-cyR8Rzyl;ju6h@bF`(~MiySOYkvb#10phN(r*xh_ z+0snv&mcaOIyvg})aL*g0H;DcQAZgwb6Z%m%^sfUNTOi`DyBLd$oa=i3(2$~pS^7Og3dbxoAfF1}k=`@o?V-z=KDyD1- zN@_?EPAfg(-G_hX$1pB&u4pH+W>Z&5>8?sht~r zSoS0a4mEIqmA0KyEdXUBlpZpbf50FF+ylV0vz|bE+boLcZfkxgHi9E_H2lrj2n+tS z+;5C9io44M5y3WW>W7U=?n&ns1iL388fz~lwa4j-xrcN73wQ~qYMix=8W_+0d`L`3L56IC5uFbMpMZb>L7+q5 zAK<`&34ku}zQL^5-9E{&dR)k4`>5N-j}kn$ z2va51Yd5r8_0?1gX%?(oz8q;z4%MBH5}FbGBTlB2-MMtD*>zSzw%S^9c$ZlfWT=-P z&p5Xx&q#B|VUVfAJt$3hr(ZQ0PMh0K4Jf|z6W zV77{p#2ESTe&-WIWtY(q~PB)3|2xo5oDDis<-s&=lrMjI+ri>UC2d zU=rBmU9T!mdc3LqIG!=+nlw&wfF9``7niCl*GD{OLNx1%%q)aC`5Wk6(L47>TbfRr z_H=DHKkF|)Edk#wYbbV?%q*0AJ)516SYzHKYW4?I_FDstDjj8HIIB$DT|Dxey^boP zmnNKN$#>D4+PE(-BtG|)J?*uxcvW5D5)X*rGn@c%L5Rn1`;>zb>6y4>%zIe40q;SA zK}Fvi`P>^H9XPu z!TOQUU&cF46S=mQ+UL@k1a2`M@c|otPG|*Pd-2~+%!>o;fslh)7%yt^0D*XRB>1x7 zokHUXg{M!{BjH3}uX)l{aG=3ne#drvY6I;n) z4|}pmcaQHUv_)ow0h+v({$rufWsau*zHIfVFyG*MudRoe7J9Mw^bho$k#sHHDr;s=_Elf(+uahh-E1id_idNyBGW=I!_S5Q8dIFY9 zLg{^DSOqV&bKD2|Wmi}DF-gH)1sI7acAwLs^Y_-}kq0nNuQ?J|e<^||JD|aE_r!Jo z)vKCk8ccHd#HJ_GNvc-a8_BB$cTg6%QqvQYr<-5>QkZ3Mz0L1SV2Q9YR7L<65{=NW zC8Va(RUQLf2~PPFi=a41A`=y9r6{|46(R33rXUh<6Q`j{2DuCKjRf!2J*-p);LYcp z$O)(!3drEV{FzK;*V>I?I9`bibtWhd>6~{xGc5SUB`_-b($>DWJ`|O?_b5dA^h5B_ zCK1)ZF=imRqc%vdxARpI(dT|hDNiemhpk)?C*3oP`=Ilw2mOS!%G0v3W%)G^y) z#7FP9K^#-G#(QM=WqZo2wH}kLnYY55viVa;#tzk3KxGSuIt&8OPjC8|DT})U6aRDAWQ3aU6-m-E9lV>^`hq--?1gU zcJZ!_>{pOK@^HkJ8X89pQ8fU&kJ&gJ)EIRCl3t`3Ob;KY)dw*E;H%4>m}i8|@md~f z8}5sqx0ci&$rnqerp>zQiNz9S?XyF)ACH9IYw5?G)9GYFHgvFhRtJXaslpERq*i0# zV%Zp1duwJrY~YZR7ZVEga?ZBl))g0%9_^|G;BPj^UV!FaIuOQm0*Ws5Nt@5Hui#Ox z@)1f@?X2#LD#(BIr^DcapBb(F>an3}N#w<*z3If-?2isdAO^O&8tZu6_-aALY2b(! z!ytoHGqZDKGjY!_Ym-|K-WPa^g?|0|wIFF5NC1VmOR?YIDxwc#z&jsKMjE;c3 zqzp)unB#a1Oq(p)k}lpZdr0!;`m5&)A0opT4hDI2(<%^%EE|ca{t}zX9diuzad zON3AMVz#BqWgWu+rGDqIOCrwdx^Xj*dm7XcJvAqNNc#>T*L6)`1jGPgns*G`%6in2 zQEhR0#w)#DutaE;xBw5&m$d-&(T59-kvW9muL4Sfvo4mszy2R%|88;s0YPCL*cg;f zj)#@8A)Mg6>)ZNF!?|j)L@ub`iaBVo|Lno9vV_A}D)QN=)>7PKiOp6V>+wxlu#M0{ zsn8`=2-iH@5EY%7c|8&0vuvfFAwo*?`9wrNKb^v}5K~}@T-6YgqfcUAz#IuYSY}05 z+<@|iHdc}HdvWFkhiWX+a5&6Vj~R?2{`??jnbitriPB|s&FVRj#P&BEwQnzLX4$D> zlTXA21Lt)+Z|WS{0|r+Bp!S)cviwPtB$u(5sGg&-mK*eY8_niNdB(K3vB0%6biP~2 z*Y^*fwVcP5e;*9LBY_E;Y>XE(0C0?992y&>6eNr}B{-|hb-3jsjU`%Po=bL?a~Z@6 z)M!6hv(*>Ye$IU4ge*J(6iEV~#NK&>4=%(0*rjsm`rxa)1P1;mPN`Cj$4&@feSz5xw8Zuk)s3l8zEZ9-TSfahKSa=keWfA8Y5(p%2F^kt6+G z-Ggxgg*=5DU~4p5`nP2-zyBgD9JoMmYO=h@ED_HlTE_o6sfrJAD3CIC27_cPQr(cg z1^hMmKw{q|UPpdZyQ!0r5u~wq74c_qW1UGlIOKf*X@KjV$y8rwTGT-aiZSYk+pmCo zYCkun$>DTcgU_cWGtL8;MZzLaB&N_){`jLux6|Y-1@_Y-2k=zwo|Ec_=y8Uc9Sk;3 zvw5&1+7Ke(!}#VrAErR#^e1sRKF$Tlrnpzf)Y^pSekgy5e%Pv?88;ca<~AiUe*nHlTS4+a9T#px9eoo7IX5v+TRH89oP4 zfnSj-m2m`-97+=R(`Td9Zx>9zaZR9jSfaY0rwDGLGMgDs11O0-W`Yl*CD^(wV3-Y9 z5Fsu$MF7y9PEmVKdJjsgIR!BVVl4S&gd%989WT0VL6j8zg?cS^GS`u zI>N#0T6?On&|{;fE`?SdsM&@AEXO%Ty86qv#dVYAa|La(H4=ARcV}$ZTQInNQ$t+ zb73ZPS0$^Y@m|VLY=OV-Yza=q>C1B}%}76!*l=`h<=--hu8%D1&_p22PB!mLp!XmD zTfaN`@TTYI=Ua?h0K1guQ09O!&&&7Wg4amyG!pzy9J4MMBNZY?C!M=%qjJ+@D)tYdq_T@Bvr#+%N!%Sdt4CICdpG!Eh0``H+pYj#k)4aM?yQyig5cT^#eiHj7^Zyc4fgEH(8SqvH zj4JjmhM7*lNy~w*K$jka}W7Z~IRsQM|t z9CjjU_RSZ@D)B*TRGSWW%a|%Og6^5J&wrm0(U{MR{4zyS^8N3c0rSZ=+!JK&S~FBb zzyPFmXH0Grfuu`;XzeY_{zZpSz<-@jF}NprH*RIsAc>z@nCR^UH#X(9eH+iL)!2NN zsGis#RwnK;ssd;^L}Qy3D(G;)47x^g+_bImOmGM2fRm(0>V3rH>Mf)Ht(AJ(q?SUw zXV0HwBS7K^R9AqbeJ;a^HDF$=XGk;V(EaThWjsaJR9iqf^|+3-RZ)3QzkB}CQ2Nb`;-q)JY;9&WBcU)rdUQ%gI zdfFO*(u=v{;+#2sn)Mzf1FI7jY^oOZ4$YRq27}w8yF7ipFM$WhV*C(+YBE@0{h{8* zG>|V=C%tOzvpRuL=HL@#@tXQgv5W}hj!I`=5b$)MmPA%&vTgNV9Baq*mG#|R&759v zbyR#_`1RPZpA8Pn@{2me38QGP!Qq1G~byz?)GGz3T%-WbeG$ubZmRpW=>{#b+H}sG73; zO)%*4vnT~UESFGmPkVIZH0!9?sym!}0p}mbs-8DUhm&itqQWA+g1Jq5Sy#B-s0bl> zqKk{%%RRf0s-jOitM4{x6x_d1Ap&=+%;a10*VGuh295kfVNc1k1hNO*4S9IfGS=Rj ze6!UDS<+f>DeD{ibI|2CA1Db5b^cw^LcLfae_!1>7BBX!d1HLsOL5kkI2M-VT>E1; z%g%0v>}!z?*Y%V^x07XIONC(ZTC7TNLmn5*NFKg$5%Jq61^MLpfL+bJpL`3qng@EL zip+R}m&b~9E#FvtSw@2d$K&tAC6=rIEnQ?D0T&%Jvjt2nrAwVFC+H$3Hsyx{qu@?s z{8I~35h>Y_hFlqx7#`TZ7c2CRc8>MSyvhgyXG6UfVbpHz|B#sN3*~kr!$mP{d{lS> zsfm7ivc4qO_xIb4CW}#5k&jPHOE$XA(;2a@u5Msq;bn~H0yqG}`N7RGXsfmQZ-oU& zxwwY;-I_W9Vk1PUW`!ZONdIm5SfQSRK+fi-f()tMIbttL~_s@_Tjn1iFbo;rl3A?Bs` zF9b+Q)TR6)+zsQ~zto?j`W45~K<`7Qw`~8nI4l#c_2C)i_J$RUfXlO{a(l0oYFd6a zy`WC=KHeWsK$;Cz?LHw_BxDU;CB~GM>~Tqbipk z6&mNZi!aW)i$5Wk=Jw#KB$~i_b>3AZG}m7k)$VTH)7m(4LrdaXz6GN&lSpi1NBp^> z;lV1`BidfBy7GiyGtCq`?oEo`Lp4}?hHyc0#RwUV!9ZD0q%n+CzVyD<>=B6t5k{rM zSUb#zAKBXG*43rM03iV~tkanL0ExTjcX7h7n|DvXWFx}{)wK8pDkCSb-ZQ##1lo_N z9zVO#{c9l*?tzoR%9pI8fL-C{qSppRPKD8thl8WKT()?gXVIbE3yaI9WXY!f5x*>2 z&OO@OTBI|)rcQ%-1?0{z60rP!zq@(aq~t zGripJ*fF>5v%b_fIjEDls7CgM8|}WILw>p25EQo*yYNzKQj98@Za(#e1&jEJtAhTpi=$g%GC z{7k0*;UnbdtSlHK8&9ZCAA7pt zqNV(RdpeLEWSKLQk`#S>j!ah)X}MMOXfysaKM>Egk$Se1ZvArQ*fUG;_1ry1qcc%N zwplm^tN2njRe~vF%v8}-173#rI|YKA5|CER%44Q|Ev}xS+qp;Nym1as&4Pt$Y1n~9 z`HZg}aMIoXgb**@k}lq|y4NWXrVE!rjW;Bqk{yW_+e|s@4%Hpi(X-pU>wdf61CMxN zc@eVWa#+jn9r&Kesy*zE{plcTkg^Q(8g}LAfXO3^=q8I!p06&q?c`jI40*lB@N4Mb z;nVcmdl=7m#eh-T#s+`O?c_Qw?^R~$_qCbMc=pW24F7#5_13`RWvSo4{d`I&&3#^z zS@xT(7-{hH9?A|q#)-TbAo5(O1#xf9TCwPkj;Dn^gW}=YA6_cbiiaTu zu@!#ORpNP>wC|Dr=(WY;**cTB1Dj7ihdgTMS6AlB%8K9YjOh@JnqjsIq4Pb>)#Ejd-#s#A6$mA0_(1_2M#1*y^;=fs6Z;;_gj3p!`+=ZP~2 zr~Rt)MR(M648~ZLYH$YdgyFj&#xxJkHT8iE52b%M|z z++Rp0S!pZ$pB=LQJ#9JtlH%C___ zylX^$m06Ygap&8iNAa7U?ZJ?JI1ebWkhg^W!P2K%hTJFLo|<^D$94&*l-{M=n?0FL zGn6WjB|eREb>AWmxLK{b8?IP1p9KXUfV7{s;p`%OsDm90J z3;|S*mpM{Iykt6&wigf>`a_%iv$>iJrHtGb?qR2B=ST7EM4K_*$UNPFO+oD0 zR^6U0YkPaP@!L3&6u{$ob@-gAvIEI5`Uzh`hYu|S$+Ji20TW>JhB$O z$F#*UqhBg6oax^B;rna#H#aFwF>%TFG?VUm*$RHIv`VW?1dHD=nR>&dPc2jKyTVU4 z{3EC>>=Z4AgZNrnk0Gy+rLxm>6CuDpmm8X)Fu_PPfAnJ1jjPRpw}zBzM2b)oc1~0d z_iZw1ECUCkGm~~j7jIX@$uIAIsj&5&t`QVVE++6XDtz*yI{2OuEjnE9JfSDxd#C6cd*34ix8MGQ-Q z6R98wuU0cRGtlBJR7(%z$wjE3Z8%RfgI9ls*bdmV?2Oq8#?#{T2+DNHD3{wPWp?SL zdXo+bJK}y14LGnBxhhB|1El!+9KpG`OyRlCR|xI~TiIp*Lut3`rUR$nk-Ro3kpEoR zz=H?3-w+4d^U3Vjep4D{FD>EW6zk&=k`|W1vuaV`KAiQ|%Lh)AdSAAdZ z0t#=_$0_RHYh*JsecNxiIHnLkBsR(X+*0Y|s7AbcNd9*AjjhCrV^v6wt_+%}-&pbj zA3fuZhQA9KrGj0f&Yj9b+MB$JxFP07arXU$OW5E9_e0{!(%0ONK5^HCy?-5*(e55% zhIA;MzB+&HGJ8DY=Ee1Cc4e`W#jS(!TpbSd^AWuj5AXiMEM%vV9vs6h`LHQQQ)0<% zFDK=vozJuiX5ZN8R+3YmMjD}W-71QDluv>$i#z1wUGL+W=vTP$?DbcIm$%h3gOgsC z3Fo!sI;9N-Z>=z!OIlyHrVlb?V*lv;AhXMpSt#Rv)p%svDr@y48F$YgoJ)JFE?TII zR>J;mWuBK7;!nVI6r)`ojohkU2$YnKeJ_f?4J%=b^GcGTyyBUEpOP{vA=^HB3v zIveQedv@j#yzB1~9^@O;dYCrxiD8-byutwC=UvCI%d*Q`2c13Py6eleLR|Uh-tp(} z?wXN58gloLJ6h>W+22%3k>S7lBH%~9)p3N=D@Wavzri$82i~jtt?0<L8 zMEB0Rzi1-Yy?o1VCV!XT)3fr%`9g@Lk$DE=eJhbqj;)U zO)t~kQKqldI~p+~FD@DTlM-VPHXgqJGFE|d8dPOikW=y zn3bcxXZ(-U?7Z-ljb6PyS-pz0nX}AU{n`U=dX})=t_#YTvk$Q~6uK|BgKej#gT=D_ zr2}^&;B8mQjoW>~bRHuzgVCzl9*1vhEyQFlG>rbCUAvzvxtq@AL_OD6R`D`kyXI+} z=mmn`j;HB6F@-cGP}b&GK{hgYQ1hb!W8THp!WAaMw*H$0Ik4$pT?tzq;iwXHR--5)GLewCbaDwii4K{@f7@XA4?_iS^D z^V!q*93IPAUY8oLQybI2cZeFV{rjYH41!p76&3CUwJf{mFcsZubDz;rU9$QOc;pDm zGQ8zMeK>%lG+|u-dVvS~*md_1eh%x*$MkW%i-C%>(ebdLnB6KIM~+iX95&}sOncS2 zJ?!_F){YoaRb~@^Xw^)`TIx@jd$m*K%X6ck(R>ZFw$7@9BXRb){N}V(7N&MyZ=+8mBnY^g1sOqV?g&-2?$GC9n{4=$`ZrV*+Ca8`?x)Mrvm^+&bke|3bJ zRg>@21gx>OJp&k3bj>esNk-+U%ZpDUVyf=leqa#Ge6vquXPEoP##yO^$fi8F9Z|R) zkI?OH>_RX0jah0^**wES_Vr#lh1h%iv`>~lzt^>ktKZQacx1AzGi-VrSAO%CYwO|E zWy<7Fd$fG?e>yTpwO847a0Cx4m+1~Vm^*Ht?!pLmOmZ}y_Wvn5Ab9^PE{0(C=F!Aq z1GGo_`ubrtBj(IbgFh(ez4QWiI|WIKf}n<>Ws7Qy*=g+)d_a|xHDg!AT4PU~K5_}a zZglLfFLyEV!@%EhcWa+OBFiDDIqDZsVVz0hZ9AT-$l``#CNivHG?IG!&SbY`sndQ) zgT<^s3C_K(Rk9Dr{D$SNB=3LA_}mqYFXQ^$E5|DyD}%C(n0CR&X2}%!Oz=!eNBg>+ zIAUZ3yWAr*3=&U4lj7mq6c|J>!T@n(Z$By@u^nP_>6>pqhQIn)yq zVdEdD0#+Zo**gjM&ZSLNzcGuS)>gEAl;zW7raSWL$hUrPFu66;kAO2jy75q;pzee- z$G(=j{POX}9^Fyqk#6CwO1Ulk%uGMg#JFOG9i!6_Mr)vmza8`=Y|p*YWJPZCigDg! zy9IeKKdvtyE|baX@FRpr!3mu!VOfjHvUKKV+oK7t!ETWP z|I<2?a7LpwFyr}iAf(=G=)6_IzP+@tw=r>*uKZfC=~; zY#*dSpMw0(M3j3amGau==fNV*uX?eY_KXF0zuFtKOe^bA7Upu^qoeY<-aI}Oc5z;E<*I_=dj^iXF74?Qyv5GxaH*Iv#)9aJ)!|L zRkpUv4h;cWg41HyN7n=kKYr@hx$#@W zILt}XX#)ZPh<1xycw9F=^%T6vvd@g~CMRPm5q$P||q>!wPW<1`e0+3f=?JMRz` z8&f;1-23VIT@cT}UI)DnXXAxaplLmQ4)tP|V{&lu1vt%8E|N-EDsk!cV{GmS`ACYXjye%{oaMVYgp<(GM zAadoqXVBkga^Wj7e6n#dT3H=~44vU%>^T1lDj2&#ij=k^4P>Z@a``^9uj3393rbyP zQFs4k+6QEqZy#B;`eQ;yUt1|ap4>P}9{v8Qs?%%1dsSgHeI_3)b{!5fQ%!irOvLz?k)u`#JS@YP zy`7HNcjbFL^`;2(3ruDj^aw3Kv~DXf?EPI>rf}S6>#Fenk#v7;@Zs$5h;okf7wkg* zrt&=*7i>^mE)#hQoo3SGkL!bR7KX??CM-I;=Ps$l&nT;`wrGg>OU;QeIOt6clO1^Y zW)rdvwEMptk6L8ayOR5P#(f}tX|w>}jL#PvgMIvKog)15(#y5hYv)VTizBEtoK{afd!2P;8!*sc2V zA>y`aBtiZ1YGYHH6Jn3@??GpU%k@>Mk^p(fm#`P%ix$N+8r1>2JKTOa8-M$r&&FR< zs7kZBIit@hiHPPHdZrIn=j5pDC)e9X3X%yCXUdiuH-ZZ803lxCy4}hPcNz zKKs9ThXplv)Iort#XG~_*mH|EuKoMXzFeVX4mS6$q2rxy|seJ3P=w; zy0aw8!f=x_}TF!w)l3 zO)XRbtd`?jpZjjb1ci%pA}s4GgsO_9G1+t^jjz^z!r(6_9H;eM*lM%GjR@R7$*y<+B6g)41x<1op6G)Wy*?NGY6W_ zNkM74qKCnL9B&K#%(W&kJud~8l;&YS-S%%&sIrT3A{zA#CPE@VoNhfoR>srPMRDa_ zh+t*3jyI|jIwR2279wG#p#89&Deti>MseoH?!gEh>gevUgvh((LtruDTcG;qGU=n? zcb#Yq&QnbN1r%22jktABY$F!1gUyr7;hud9llIy*##ic{I|aYKH?Q$zS+XWP*FE&QHrEcK zDC_04r2bNNm_2C{jKHqUpNe=ZX3u5J>^;^e3)%^fcE{v<{f>F+|a_&mcf{iD~Spd)Zu&7 z9oNlmax|W|U(iV#A#!o*EGxf9q^%KWIXh?6#M*iy%=)I#fX)LuX!0824q%}t?A2hZ zVrPf?_NxbM%X>N7zte|*9HS}|;iNfZONrFKdJ_Wu9?L#P?Ha_#g2NDllA2>;R?zK|04E7!O$T9}^#M9+lK#f4PEFEA ziHYy$TPual8;V2EUPV$5p5{^iO#34It?331KEk5=OP44{Vu(v5WdMG6HR~sz)kmFw zPZ5$r|9_6JCPsqi6gD-SQf)O!k1?!fUaEW2*A?H(x9r$$2cf@ECJnakKkpvB_*-iI zYVy;=4gZk`@GaMb*ci;$UsR6@$T2MDYL3W4#D`Br^p~-Z${xACN7~R+Q@P_`kCFeE zy)ig#2!;Yq?}TJ2gQcxKmQoX$4NbAT`VQaf>F>6#zG(3}=4VQKCa+1PZciV*^X1f> z2f-r07h(8xg>OfEJ1+${M0~YZY2DRH*sU~g(2`Gvx^;g6Nvb7An_m)MH)Gw2-2JT+ z(Ic>89D&^bFq@5yIXZfD&=dcAzi-QL^S{LW0CQd30~;XWfsQ%tJT6l?>keRW~o+C?$ujgzJ-(bC)X#j!|=|4U{yT((P$bYx_ zN_dtqLMl@FeF{=0>AF%s9vvf%lb!rH&RR%}tqdE;BDC z;`88uGE_2a7h`R%g^9Slb=}vPg6BxtS?+;<@psAbrl6|ETRzIKc!o!{V`RcwmK|{G zJS%I{($+|_oX?dh*izPX1Kw%85IN5qKJW8>?+zD%)!?*Ap!d=`WhqF|81{&jk zT~MRZtX+PG2-i}VI}87gV>UpSF+R|Ngvmcsd2J-8gZ?opWX#aeL5#quz~2EsdrM$g zAwBbrH>T+1mzPYQ4_=^UFaNlgJpLzdEkI_7%>1WuC+8nSiy*~Kb@J47ub*)AJu%#X zQj@h9MCeQ@2@ycwJ4Srlv!+PK3~D zEZXxHUcdgw#alC==mdNH(3B7Rg)l5nz>qTJ+EjThUN_nE^b)Ud<>h~7q}PMYbShVe~b zsRZLzL|g+`ZG#A`KCF#=S66Oa>=8rg-BgL&iBD|7NwCF~d59hG8e}oh6=ADSRDlq{ zpTzjd7hCUXwX2B4h2Aq@e+=fWrIU1g?K%v#`>Jj@fJ5#490Ta+ zllPzhc9AT*A4$QU%cRQ=6zb{Q@wr8+po%pm9LQ~^yOH|%val}?HDBH-Z~NcRaF-s$ z2F!JIJUX18k|Y>X&V3nMHK{k*o`+dtj@5w1tuz^eA@$Qk_XG4bQF8u9J-ejodozD}o!ugWF&EpE_xApfRf(H7d>ya8Pl!9B5w@24wm7MFiK zGd?_0;!8PD67eagaUQz5>9#(2EZrwVFoa7Z4eAQNH2o(z1xXR6GP1lcWJ!=xk%6BI zUCE2S;!tAHuVv(}#%R0X5qB-J%^R!?V3cC*p%HoVI|iK3X;zSIdNKC9NU-I5v{X0eORy1AXz2hEd9>CiW2a zU|J5>k+(?~PQPM&?I!=lA9=%L@6%^&BKX6Wyj@^71*&4z+zHEcnzvcJ^8lAz zG3hk_ZnpSp>7>?NhDJ!@K74FvV1}39cpn$)~1eY$f{?QGd`r% z@d!73YQTTW_XNG8N~+wkdg*;}R<;?c5bMbSGZi9r&q(BeLX`Fg+{i8NlCmhTV9*j| z2|&a~f?k@yIvMDVytwjo&VV~0s8$|7UaUc+Jwm##WfeRow`z(V6RE+hWaRkv@0wts zve`C+?T`R}g_>@(r@|&UH+Dn_>A> z=t=VI{+JnKl<+MrH>&xDheRWb>B-WM$MIcG^zd*pAAMaG*fZ+`(gw3O#JKr0k#7n}|y%ZPIK>$A@L$1>rx(6`oyg-~jZ+!VJr;Wy`Ucad{Z~6ipIN&<9p&erqGJu77t$^nQ?Y;RGTU?=I zJYe@`4Bwv0`TBJSo-inaOo0G5kWoO|0&9!C8L)?=Ouyw8XbUp2u+Y)d2LPS~^a;aI zszHmQ=4e0=MOH~Euc09Yz&RTr!MIn`Z*AC)Qqz3C7nRmPmxIXDkLTl9|Hua3G0V9s zGaFC7UqY^jp;rGH@!Dc&*TzRHH(l4el_p%Usuy1;BL&O#%8!R}sPB2#hW-T306A%% zw50Ku@8d0(0fu|af92+pUW6jGl(BFX7Bj{5t`CZvtwRvcKWK7cnb14asfwmcup9b7ZIJUsvo zsCf`obg zEt=IHnv@v1S1q#JFY3KdCrjYmUxwV-3E138U`N56H3JP4U#W3n4zIud`7ZOp+Z7Ww zAQABhk!N4_DDRjmJFvB|ehJ5n+Lg>_+g@=6^axv%1oqLhZzwDGSp1{trCaCuuM5D~ z=UJyn2G}SHA9#)!YedZVD)7#Y?p=d9)lx8BYgPLvuEevXurTakr3+9;zkqh-Vr&<1 zN)LFgX07~O%*-BxZ8f=|Zdthc_gaG9&IwqU8_Qbjb&3w=q-Gsvuq+(*j}-2OUz?}U;ZFZaND4|f znY-64fh}W0e9!1o)tlCJHuJwsE7<_m0>vR0lVwKDC%C3ca?{N{qUjP(G)na&dndcX z$z_0_B=|a8>R(R5EFYN4>I7An^TidgDc<`+>QJ^vUvEjY=B5JEQ&0F6$Tk)8(jy!+ zWM#s;+)kPGpBiC0Et?h7DC>!t>hRa)-a987_v>0|IyPnM*;v1RQ&0JqyykES^epilR-vTyN4g8_)CsbRBm(re@D{miyq z?8T8@?Aew1PmA26Z0B#+V@jA~Z%(L;6ckKaxx7vLQh7i2v{xY;e#&&|$xq~-UOl-H z^-L}RjSaP+)04>OhqCFBdVmi0iC1R>!X_{lsDo8|RSljnt*JTBzUf2awfd4!8ZKJ< zklb}i)b3t{@-Pjp&UV^=;CNe{$RTBCrnD0D;!rKa{dC!i6Xf|KM6lOtMQ$ZiI%@IH zA)9~@|MkL*GT5+L7v-zB5KhnPC+kVc-CT!)tQXv}Wnv(t=hbQBl%sA-OBGwI>-Vtf z3m9eha#a2Y1}61Li)FR-!YTM;z_o)I3C|TpY z9*W?OLE@q3YX!^pU?1I#rLBMu*t`YSew~j^6c@883ZEHE+!y1+yK;7PF6n*wB8?>W z1yIqnlnbx>(rF zTnn8XtjJMSVgwosj;Za&uG{2E8YfqJL-2W17}52r9aMWV%q${2{^1%7I^s{|cOB91 zm|b6<$)^f@0h&bHr2vwrw#)7FiEAZsIqaGh!C*)X>R70^p3ONg+-rv$??pB>Y0Xbh z*LCf&YLxoSST{H7P2BH{TCD_cGccWdtMXN8Fo0c@gTL zDi$;;e^l{d1o%*2PV-3C6~_W{cDW-o@ww}vZY^B>B0wPmDw-HS4Bf-UaT4b zf~CQD{PV@vqFtX8gSNI=IKP^}3sTeA)kpS!>Of#mkz|U?D-e+o>%^aX@TK~#X9ugK zC#A-SD&HaXQMd5XXR!sp8*JtM!1j(%ChEC5@Jra$sS*H7&`o}QW}XFI3iq8P5K8*e zgxn*wN+95&l)C2Q- zWQ2^06gDnw%*-g0Mxsz~RLzw?>lB(qZw*FO7DYrv6$2%sXT}!UFe{4+OEZkd41p)h z{xdo)l+jdDdtPor!1Fc)2AT+9GpDMh={7haQ?m%K{Ku?HBGMP3N~rqmqzbzy_GRzZ z;841>NO8w~jeCjh^ZAnu2V4ZP^!V|EW1*Wm#)BMSo);)r&wzcGSb%+S|GxJ~)3#n? zc2l0`?~dz^orT@Cwnn%cWvY(NUj~aWVd$(K=4(2T-PM~}KJF1`7eK6OvrNhY_$bmWxI1L$B zFEx||EYMWZ&+t+r$6j55?|ki~@`x$Et@WG13ynUkk5Rw=PUE!VgLXOn-M$np-<@^) zpGz${fwtVQMQ3=XdnX8X;h-?@u;{csbmbeYC9uF5J^wZN#$qh_d@RCrb~vnNYmW~{ z;5O@!M4R5O@kQ&!uz1V7k=+2xpZ5EMv2NQMS=Wlc*lIskikz{UaXeeUxT%k2AEC>O zB6CC5Js|@RpE)-El5gLj?L?kdTg##BcMSKE_6C66H`~%BY!&pyfkq%F?iNy4nK_uIIUBbd6BcI%3C<1)VSRL+i_ecP5>nETT0d@jn zSj5E@upK%ve_NZygo?EeX8hgnPQie30l^%hUb8Bulaz z3u%Advv?*5T{cvn>2WbJY-`wGF^>hfTi@h#0Hi^9$spXT2m~suv z|8Y`$W^p~ICpKb3t=2y2eH9JJl+HiG5SM1F&vnx%6^3*Xg&M;p_K@Bb2*wewA_@HP z(KAj>^7B=67hb5-gk*`nNQ-||y-mp4lt^`t@a)jDqVqBAVX?6<^BLc7`{knT$o5d-o<2`3=M~ng!6ut{;i@Jie*rrZt;I5& z=?x3|+yPgJ_jPv7Y!GyVakK%Sfq6F5?~h4%?l}OmAwpcqf3m*MgplqiR@UzAup`sL z_zU+uwJPET`LfAUDp#^NKZcK4`a1_JW{(+1)j~_`gv?y_jbzINZM@bl_;Ph`5wid$ zxDM%wJDk*iW!A-iNE5hlrryw%b~pcJZ){}gPO%=osfphwXEKdllfP9-k;kYM*Nc=1I*O3u%zb6x-37Mi zg4n+^x(=iQd0)S(yna1aVh?<&nw$mb+J*IB5rxZH>_DD{96gI4P6*j_o0ldHC zNqqx%Bv@$|#LyGC&541(j&u6L{RiA;M4;%H>TP_=L)T4iI76{mqx8_LFbG7I(c_c&RtJ==kjfOd2!%&_w5U!+yedLT=VPYQG!n!Z3?`#TO` zzAb~}X_V&>f)SMWhKrh4V)^9tD6)21%mXKePXX7rptuFcf7?jWSU^dM;m(E0_-?7M zuPya8UVM;H9U1-cwVZ$NJlfCCzzL(Tmov}gq=2%rAQsYgP2}yNE>hU@@ryK(ns*L3 zwX#}za2}~cN=g{%*Dm{2I_Kr?UaDhHC>9zb-`&W&JXgD;K^+gt=wH74RZXR*t2?kc zRzROYZUYNxIdBa4Zm}*o(Xvyj9JAM97?&tH3_MW?!7(fjJ6+c`fM?5o83_U46USp1Mu9m1R>({4X>T?V&Y$VA%ieQ#}fL#)F1pQU62B z)Ne@7dt-BagtSL*|@vcu^j0=akD5c1c-=8pW+Of#9m$->&l;%9JDCE_i-TGB?Ytn4< z)zl68MBc>O?^O`9rL8?%Vh@N(_$zDw2bxrQUxv|MX!K*XltO^XcL~+KGI(9keqPq1 zD=ldGMMsX5ZIzkR@RVO#c zY&d7HfSZT{is0FHmnVA1Z1XL`(x(Vp~S%cfsT$n$9JfwpV0aet)A zh$=qI8+C`a`xFjcgPektwzVWsTz$j?lzLYT8DRWDSw%%mON$&7r9{NUIF9jmyFm7D zS63UGtSgF5(Qs52k4Sj04ye&Inf|s=*gnP6m~5)Xm+)8HrK@k(P8`WEM3C+|sm=#% zGj-fe=Q!r3modsl*dZOQ-}I0PFP&qM zG>l*~OGp-n<@B>Ox6SXF+qni0Y+)gd5)+PQWc43*Fi@gWH)+`0=-t1D3XhC2fi`hA z=$!kQ*%QdJ{9Jw6DroU&+>6*{Cf4PCl&aw6v+EU2Q`5 zWZ4fD?#H^WOT;g4V#F;4pEnpa>?WQb16Lbcpb7=6vqFR^ zMI1NPAosrrfz5A?Gn{^0&~xe)h{!q`@xrL`0+ydovFIE}j*q-p4Xqx&>WBI3F#Eqc zEM@o_^I6Zghalb1A4)FSmAokWLWj307*qXz4+>4uS+YK3J0%p-E4=;FwHtr6?;LHs zZ+qV8R^`3IS~s?$UXeRAM!zsAIFUGj7g)AqhrTw4Fr-<%yFQ`o&gwkp2<=Aq6qsK- z;h6QTF8;oK7@&z#6NP;*yK*8n*^?0DI$`}Ir&dsu=NPymS{2~xj% zRNYK}IVxmtS|d$XiV#_75*iIwI8CN(Xd-p8CLrwMxCNgJ_1Ou~SKjLjaVkn37;dBO=MiaXC@n*&qa}0QEmu|J19DF5Vei zpI$`Bs~3XEuM@o0Y7S|YnoQh?uMz^C^C;4#cFudDSajRa+a9 zwMs7AOtDg^MftaxFl2376rZf@;ow5SjWh3$p~$X>{M$B_A=}exApB*RR0}Gxqa0SI zVVfumGN}}P1mA5skyXYq$Sfu~*@ZjcLV!FE7WEmFW)NW*Sg>675p=MZ9)Y&-S19OiSzV zmf3p0r7j5f6%Smv&YQHT8+$pJbiZus_)kfX#ZAxdE-h_n`)goe2|9?X!1ZZj>#EZT zNQ4qO3~qtuPfls6&4R;FMwrHJvAe0rxj@z)%dbomp>L}U2(NMqRI-wVrHbY-e9X!S z<;eqgj~Dw{Thmgg(zn(HqARKKJ=V~I16%(7wB1D0z)hUo%d%RsthCVEm+{py^mL*W zj@UN0n*93PeIgfYT-%eSN$CyBs|`pJG`Ro;Ut>{p$elGe1grX=Xn+JQG3H$qj z@-C(vly{|h#*00y?Z#E@e*`q$xjs%H{ic=Ce7>G4Q+yrabUoL7P9!>^=20S~)SJ~c zL}x%06x-KZ%;0*MD9F-S@c4_jYnVcFt={8Ci1oi9g<{9Ob=ZG1eD0U@FD4v;8$(w= z??OYQyNNuA9IX%PQ1O3l34Y2K0CS=*ya=phJX$~Vm98(rq8+I-xW{04m9-eT_atoH z_W#D~+jp&*MizhYS8tG7&z=xdZP^X$&!v8zi7el^=V+m4L*1gVgfww4;Yh}-TEGNT-#eZye|`govq)_AKrU-bYGtX6(NH&^pLJAH} z-PIke5+n*k=<^{0aQq3vK|E_kKSusRTwGMjoPTTwnBzfczL}cUURJi?Em7UT&~3G# zCx7mvW;r_Jy}iJx6M4fdv@Fj6T1ZnHv>zsApWvu#7iXJ4Ub^24>EyoY_2;HXo-Cp? zBsVptb)tDcEVX5YMGOZ;dG_C%3<_Tt%B^n*tSt9}6zI32o?mlBXqMF0K^GyQM(3c?nfPwLyD{g*%Gxuq|Ad!; znTqj_=)|+p5N=79Hy?|$6N_%E9;u}2&c1E4$zAK*K~cUm8Q}&&KliLhX4nsfLrWI9 zOP`a*OBp*xEGRwk-O~XRsIX*47d{!50ZH>%Si^}xAI@9Xhv1u&fJED-1@HK`2B@6^Y`HIdM|m7k7o9Yi2969XAFU3A zwZfk1*<0{5=ArtOGNvlq@er#M%wHNlaWd5|CLEkPmNn;6K%TP9y(>$!)4I0#VS0IY zZC%1G5|igy*>0fVZrVoL|0t0oySANx4jvH8i?A zNc8$H&yEl-mtfSt4N&bkr-=^WavE4r&KW!=uT$oxEa;E~O$|`O6QbtG&`I)o25OSb zOv{%~V&?qK=AQ*e4E%Brta)@MHqKXtlCIBa%z|)<0#=z#V{H%aC+O_XuaKpA`Z@B> zioJKY;710(U0BILUZ9OXQqta)fx`U3zloTuY4eglE$Gy?g`7Ja-i7;g!t!xj#T+qx|}BUbZiq-I~M26 z3mtCVIbO&Hm3n~>*9ZxR2J&R)>YR5`j(;K#K}5Kd@@S1EIMS+i(@}CelUl1c9Vh(IbZe$~nSg9hc&&Q^fW@ z30~n05ciw>*u3B+nB^?LQ9&Ol0BQr*IJdH~(UbjH^6ndF<-7)bGLQZ7cmYZwg7dI$ ziwIWhLB;TX3!W-;=8`?h*Oj!piLz=T{SiCCs-;xiq!u`R(KN-mSQbstc>2D&wdB2^ zWjj`g?2z*g1Os9}Eu=uBVZ!JLqsRkYXKUes6D3a^{t?xqli3aZr;v(WZSEN=a>n{t zSgo6HM?+EbgrI}>8bh98lcce=KFBj@6HN(z;RZoCzEYqYM~o8*usT?XH!YB_%B==!YCjXZk*`y4p_m0sT<) zPatFNK93wCD}X5%;rM=N8`@!;oochqG3nTwJBFM1%8_J_TY{oqh+=J2j>GitNqv$2 zpEqRG=Ukb;SYdp){4v`FC0%iXg@^~8P~!2T7@ zru|7B8+qviXKU#Tc`IuJsdB)-fR{K%5D%0UUi3u6XD*?N_Ju#W(AU~B+lXA*=Q8U2 zR32{%ev;(w1HJ>=xG$_`fDG>uht9-sl{((kKBuJkdWiUBveabq$FW#YradTU6|Mv= zAi5uLRo}g4SSC$^{3Ju1p@`e#kgwiSc#f~XURADr(79wkw!!Eyq(5oc$VqkQWJoST zB;=!~>mONPOIDPVcUa`Eo2qkcPKdNDM-1xjLqGbu$iM3kIA-|-j*l`_uB%!S=Rjov z?F<9`wP$_Q=gOb}xwKBoJ(3C^h}$VEu~#)L-{1-Lcc2TAkYYM}4j>B*zBbx5dveRsG>52pXJx0Uk`!IQI&D=U`SNzsvP z?`+e4ELb7GtFg`*;jB#9mJow-b?OQ4wccKw#Q^>p1^lO_vFF+<-)uM(v(9^Om}P;V zK=bEO8*7 z4rW9x5X4l{<&5Kd?S>v~p(_CfL66fEVL-6zv*KT_a_)K$ig??oNmR*^(^M?tYeKt3 zPubHy($g0qYC6F*3y8%Sqob%%_DdTSZVT+TtM9rtB0!qJ7$$*E6#3A{`Np9uFXTj1 z-j)C$_#wRtAjWaU_QF6-Z=*C_?lsKC+z41%{vN%n?lw?zJ$NKE zbU#_adhSlU$%xvx$@;n}yDq)&mq$kH`5_%!e=`KFjN1$4RQe9Bq3}FO0);|> z4Aj#rFF@G;1fKbBevm%{=n5`@0X?eadD2jP^hMri#BV}5Qzidjfr?rA5mPyk6n6?d zeQ3+DBc8Ni1_YzY;NS!BFaee;#2u`6N4{9e~h; z=RM%aXw(LD%23g$HIYI!_m7fm=7=nn#x94#sqX15FTcHVZWyHZYeQZO#&l5;1l8k% zGtaE^)n`xzYMp<{jL z!r$)p_e!&WyPHuZ^@p=?;i^khg)j>X25o}EFjALJ8_u>)Hn|PS5w@Zkk1xpTa+mes zprI)gLcEUBA^B@#ElPL?9b~&n&it1rt$CBj1sB0i4nQ<Xf|^@sNLCx0L16$^6Q{T-+zRo4e+k_t!NqnyaQvrmjkWaHY@!st(%9PJ8ou2 zJic=2(sR1^e3<)h2P4n!t1>E7Yr5RX)>ThUV6ev3Wz#(eTW2C`2ASExcx6dBT&(*=S%T%9lf$hB6{(|vmjpOm9m zw#6_m%1Tm55H5!+!!3^m!bnscQF>!xfO4`~Fkni>%Wef2IFn_rTF5(*0EMCjs*AOU zQpGNg@7{A6hmptnGWfMXQ~LC9-%I4tXsf}ro<~v@2}!2RL;b2Kw{f(bbZ=&cpmIdQ zujc2SaSKSw%6fEp2CS0$u;J!L6mz@FH<%DeL4W!$rrZDRYXJ<1_w^-c7$WA~oymt# ziW}jYR37^+p2I?IPnTg77&;SEYPja+MiRVJXk8Jn_66v3$W_$Fpsq|g<1NuQA%2(g z@r53EwtyvsKwcf|n_va58I0V&Spp4{u_FhoVLy$_z;PPRzju3H^GA8G_CY3}Vm*fH zE3@VqEZ*^v%Sn$qbx&e*7FNHo-r`R8?Vd)YFd%a*YW}d1#Wmpg2nqUeI?u^pzgz2R zrUlP$7zIU^!>?6y0Y}!cK7+LFR7@eQ2_6BlxNl0eS{6`yn?|R`8N9osjX9G6(Mm7K z%EL9eiv6Ru%FjlUayjkO)knihBcW}{Lc%7$c>>Z#(#w|oUAMI$A+kL94EWP?z|Lx+6 zLcH=dj1Sumc&w!JpP$IsQmaXRD+}OOANaeX%AUOv8g5(52;M;afy~V`E?KvH+chK0 zTZ3OqSfska`TN5rsoY~^NzcPLDWp`o2W?bR);cU+t>Z{fDerVGP*QCcf4cJL7s8#f zT{EJxWy;XMcWTRP)$)5-a;?hl@-=yI;4RzQIK#>%zNII#@e5)6%?}V%Q$D3zTjU9B5Sgc+~xNrT~n{5Mi<20&ot|jH;1@c z*(SL1))tel38674+nS-Itqs@BL7)`6Rg~wQIb~cP?bY&*=-QSx?Niss+$HxD{(P&3 zqzFWO=9U0Ma(GO#sm)=0Ni;~D>-jJL=uxfANepJd%S>0C^dKzrKmhbGw6wIo7Z>jy z9SjOzJOS!G_c9qnrbKxxnFtQsZ6>r(QcVGa4b4>PW{~xN%=7_HOJ3TpP-7Ne1=HFT z2$rPR4nBoO0|oy+e}b-Xs~k=48@cny8;fgcwh_I?HqQ$eL2-vpV z@#(G`Tz5Oh^;d6R*c-Cw@1x!8T!<1`Lul9^s$A_@ATJt6=dZEF$I8(A2Yj_VMNUY7 zV-&{jaDYFV*6H$Qt%pNvM}>DCC}QcsHwey*j*?o2gpm+I3>XqR>9F-H4`-?6dABWA zurX@@Xwbff)T4ybv}>7)uC1^NTx+P9;tT{y1TrVA-ba@(+rm&8nGDGF>nK$Iyw$N4 zq9?{qTOrB_rob{QM?0FTrZIEdtBmb)jF$(fB6h zI6Oy2X@vS8G@erw4GMjv!un|V(Dm0_V{He16YFi$8e$yPvx%;$^NVKuoiNs*!RGDf zVAPL<@9@XJ@6mpJGtX-}Bqt}w4>Y@A;`#5mmi0T3-@r`v(Dd|6P^3c&4!x$7Q1+&T z@2YurV3|DS{?euBlH+4}Vfjox7Whe^<&V|5?%y%nVWiQ%fPT#1wD`WI?_Ti4mE^$4 z&aEsWIpic*6_8X!m`i5G?ek6H`ZG?`RmHUH=AZQNYa7I8f#R}jHT37Mr1?D0{=2<5 z+aJMH^kWSB$l1HaOd!SIQ6nMi4)-g)bWkl2almQre6*iT5=C>WH|GG0%T z6__&sNx7nB3GD7%v6Pz*{!Me=oiaiJAn|RfKFWl)eZTN-A}8qq=J34QNLKj|amM_Q z{kLLY64|M~W0(t8Q^>3Oo?I1y2Ln!B0ku?5{`z|aGTnWN8x(9cUrV2CRfQ)%K)Wg5 zxvAJ1s}&5?7&9joX>8)u4f0?H$&h-Ik}pCKz>KcUguW}Q64N=dq-*YU8-+r=R90_3 zU<&lpbJc&|2ofUIr6Z}El+;ldACnHWI1e&hr1ZRc@)}%`Q|kZmNtc#@Pb$=`G>aFv z`HxSEbsj`Qh;4qHbm+`DG{U+o2H|J7RC)_7_Jx-UH<``^=#Hq&jD{EcjTvS!P55;& z%gsx9e6YMHIqn@izk^P*xes1Js#*Y4{)+>BGMoqz(Y+VX;~TeJ zb4H9{5&K<>+BPSO?6RGn_(?tlmH54WnDJ+-L0a#I`+Kx>D-P=5N=q(79l%qc>t^7d z1t@)qxqA{IYt53VDXfK(r54Q?>E*dDCa7Rp)q`qe6I1GY;oc*nPxmK&{X=n6BKYcc zxmj-tX*J94INZ}w!Ek?y!T8Sbhrs@7#LvG9;WITO+~M8Rkr-b4Slg4k{ch`zwi#3W zdUkf4-OZdyEC+?fF38z^@_nb|H#gRzomvna^+GTR8oN#0dW<~At+2V>VPVql7|(eQ z%BrNt$W%y^5Aqkh-iHm|2k^RHzWK;om107b7PG)l^jK#fK;xzc_f>AHGe6!y+BnN zV^+e2ULl*dp4?G0b(Z^>DJ-F}Cr1g1(vz1uTp!j1Sh9Q7vr;Re)*Wn#(Z9YeXb7mWL)y#xtgb$OZp49%1DVXR&0W*MxB4-|j9YJ@$HSTh=y!Y~;U9#kc zP0A3(0>M-b4*w5C!ryn)Kdw8G+2#`burxn8K9_lmr-OVi-h2axnUCh5T&j63%{_t3 z6bJM^wSn$a+vA{v!f{juU{264-v1{(0-LbGnzTe-YpQh6jZ}7a?Aj6xKVP|Uz*U<<`HPTRIlu>@=^gt>-Ri>o zxia|k*a*fIcXgxQ0W{H2$#1TwAF3{QQCeAdV8-&o5q^7V3cvA|GnlQ(8+jO)~(CCQ_WHKQyMt1Ff6Ofgxnm=sEXV0@UghFYoOLq{nah zXX(FM{DzO!G1V;}gYqG1pehc`fr`Pjowx#Obt$S&?;jE@vuK)uC#v-G!vCG!kgUNCqTgbt9tUYd8id%nFy=6CTh5P!H15Q#R|ayp`*lq-9(_Z z-sQ1KmS^aUq;8&>Is{dY2kQ{^dvM}{G&v}+H)f1FqI%>4FgviIDM7kJAdi@z56It0 zAOb!@w5-ftVlRSA*6SkPG=J&-J4i#}&Ov1RwLPv;%R(@&ajnyFs(yN2etmB3)0;w6 zQCqiCYHwoT7DYAW2yompk*27$%6G7YS*qXcHDRB>n`Ubm*3%uUjsG}^_s%gmFoz|~ zvAwja4O~vw`84$>Y$O#E+?`ISGKjh#52Tw-@F^|pj*tbg_hT1Mk$C@p{Yoiw3WxMk zH$D~v+UCqsKf43j6((YK(63*+H`ftQVH0G za?M3T!n5I8rB2UAM%3hHfOOii0>5N!_V1{?_Cn*Gi8C(FukU~}3I>~&B!UouU&ONK z><)E?=FZU%*Dk5ROsb|cNq;1J#%3<5gV(umT`?H6(w`+n*l*V>#XQ}R1)hqKwtAlb z`0nQQ)$_XCjz9Ad+p${(hE^H#Y88xa?A@JR1#GZBH z`F#mu+qYRTYum4uf~fy)7L?5YDF>xnDY!w?Gc(Th&kcY@V_&+6x1Qs06y$^OKFiEv z@c3}DATOt8DIpq5H?Qy~M^zxak+ zK=fRBiG2V5-Q5Fu3EnLC+qYoA2<`P+kwt)ZhKePWVKNCLe5Y>9+y`a!uL1(;oP08F zg}I8oNv^p+rGRpYzGY`vGTcU+rKO%VZgty9%^hKa2RF&kuz;BQ9FxwIwSZ|gnf=r? zW#=c3>e^J0Hf778>v-3Bo_e_Ijb_|)#V$c>IB|>|{}sjWL8PuVZLP8@OR_ft#*NE* zOF@D&nYqS{EZggfkb*z)e{b+F(STtk6!6;)MFf%F2b7HxXdNNI@n2dFW? zBG^T|lW{(9@57(qjh|T*D5}bAn={jxS^$0*xU0Bhci-!^i%m0*2fR$lu)s{P#p#1a zP^Oe^#9bd|A@r^nYX-~$E~1u!W{*F3 zE#m{jz2M34QYI{iBM7W z45~<&@Ng@6Va?I6gFa@aUM}HDfO$~3jSu`J4RtnVN zII+kxz3P^W9Ws^741Re6jG=C+(7aKza;YK@b!}#@roAgY;aIWrrOa%vWzuf{Tbl$E zKYIV>&$N^XL3h5tlm@(P6KdK16CSdsvAjdh4Hs5aws;Y-18pgZycs<8%^EKN2zaQi zh2}%gl^pgVensedbe{Bl93f%~q?r4jRd--u{50F^%qUQgi!zqg3jsMwY_t5M8=IFA z7hq!WdfF5yjP(SozODcCat0(BhstT4qwrk*2!61qP6Fu+@0?k5hSjsW;*m+JoF;l= z?Lw0Pe158!Spu5&`E1YvVrdpF(!@>*i4bp(m1bhbelk8;WwF7Jsu|JLWq!vU!?W)5 zem=tRB98@YTq3g5>oPH6_6kW_V*Z$Nk1hM%L9_CV7E0+o_J_b3%$AxPUrJ@jF?DCK zu_sq=;s2Pr>ZqvOt&4#uY0#;H0wN{dT_TNyba!{mjM5+>AT8aXbPmE$BO)!`-QCT6 z&%E!w>$_{gVlDpqJ#}KAefE(#U3rC}`=X6+%|nFVW5UA}83q!i0ONlkGrgnKM_7i> zRk%{!s`*pMjSU*M*a{_|amYcRab=|$eg(**cr+jneka88B4c^?^8E6#51^%pxen%A zDsW+}nKNbPyn9}v{!T++XY2M>=eiSKMRIB292V=7>7V>3pN4}V#*E-iXW$yH=;L7S zH{RT~V-=1Vd7?vvCIFJnUOwtoDbGFnKqtN}5?{6)iFj;nd+Vv!l~H*8ruiF1zW*e4 zTXtZ_|I>3ET2L>sTIrmcrgh6ydbQOE6Wja&G$`AO->ql5>dXYD4Fp+RDG69)u8M4N z$_1?DsRkm_GdwO$3?{z?#8jwIrHx&#^U*F`K>0;obucqM3`EgL-hvz;PHJlrq=8>!|g+yQbqAcPJd+WT-WOQpI@1PHrb2SsJ(qLSy@kU7m-~x4_ zIkdmp*L%VB2tfz##%{^7&aDHqM5_tCCY=Be=Z=u zbV^9sp`%x*F?r&XP*PaHwHX>;8f0mk@Tq_!)KHZhJ{&2;hzIoYR?x<>!)60?`xk?l z`|(Aj(4ayRKqUmRC3ZIpM0Iu@+#Ah;kld3-muQ72rl! zD}XK8ciSF|?6EhOjKs>LmQ~QoQhA#;_&zXjw5xj5L&v&bSGJQn$L7oZ&J}&+{MXo(H$hdr=mpq7; zi>YZh9|Q(4@V=4>MBm>kqvRy+*talx+exaN0;q*nUI#RHxuFl*Ys}>ZEXWxxz6Ezu z>)_4ll*a=WM0$KKO?#vhKf^`mGU2Q%S54K|mf1vL^&VmU|8>2@0VQ+$p!dW4Dn#9R zV?OKI&ZgYcAwWefd0Wr*Xv?#7#L7sr2CIP?N>md#77H$CdX~o}M*nwwKe_P&MOO2M zCrZ7JwrOAM^wkb)A789-J*UvP%@3-dk-Yem>}u?Ib9$bja-x3>X6*@0G;pQxy@)tE zWPP?i#NmCa>;O4c?I3$r)*7^1X20udNOe7p=%>=LfYdqWT^DTJI5_G zur!q3q;1V>QI^!{YuXjjp0#upyr(ds(ERTlS{4eWja@4SsL)7O%4cK5xQ014^toUwftYAg(#4b&4xT^&CbaR6*Ky`PGKT!d@?Tuc}3qVU6;{hff7CEAh z3FPFSoaBI?4(!g{)ww?*F3}-u z^FJSnh#fy_e~eoUXhd1`q$vtY&e~)wmFvbde<#R8Y%g#dX^9ivD&1tB)vFVJCIU5` z-m0y-AT7Q3q2I3)`{_%wPhD>r{$Xi$no3H<>A-zmfaProyT+U_(Dxe|#QO*|z{mz+ zA)CMV8N&QP6nEJFyk_S7>HNyr_lDE5f$*m5dlh|2uSIA5Zok6BwG0-cC+#p2G|1^BElQ|@?-u%R6iRjfC! zr04QvfW}X}=!Y09SH_^11?aJKewM7}T;rtF7X}$ZuOvjSn)} z&GXnzR7iNc3%-ntsM?)&;NX4ZC++Hn2QSUC$Mv)*(G~S_ub4$|y&w6X_g1^^m)>9u zjh*pCk@_#5aj>uA(kQ2ZPXBFI!3c+S`L*b=od+dtzha>K1Wu8ZcSLihmCk8sGB--2 zvfWQH&`cib>lN>cCYOqw~q$TMfxy{Igvd=fBk1pcVX5Q`s2meORbQZLcuSK&B{9#otM%-ntN$_fqdj~?2Y2%I! z#b2>{ACc>kn{L&LG?_}XbO+1y8CDot($t?ocZXr`Zz|=K=o;dQG#_l#Wa()T>~u^n z$H0>;GR7a{K3A=Z(=4qz>RO~g=oW_ROX`+_$r5^(jnD%JC6KaD{TuJ53q$zj<6j$r zO4#cURh9(}v1}l=B~XW#sEt$l@Car3Wi=-X^70zA*v1$LN4zA|D72r_UZ37BV|(7= zF9E!ga1K^OsJ&h&+)jSWM(WvuBJEa>B#%xReg0zat7gHE+kcxvS8Sdg?QaU4D$BHZ z?|E)@qCnE^KZizsQ#mSJ32e}^+swDfYmG5kJ-v!T;y7V+@PIz0%c{6 z*d-FB>;bn_4Oj>~o|;oZM&&8bw3K^Mciv}+{H84}{M@A~o_`L()MW8-Je-yb$3vR> zWifNf=zAUV`;a4YKm%wOW&;}J?zkt}`Nju%xCK3qZQMYmBnH6!r}x}ORi4Np_9|v_ zcU!i5)Tb`lhH=s)ael>L(3TG6P%5^ z1G>^9wb8uFB2{`)AFkMi*SyAce#6fZp5zL=S*n9T5wS1w)Nr){tWAKnoR9N zd?0;!5au_Qj|STcp2FRhd&72#1)e$FQ_;i@8~5X&CDHtVAI8^IYAU(;=KIopoU;t%d5OwO$0PE`Un&0>mR9N*S{Z>X9#Z?V)z|Le4V|1$VI@qfwy5ruV8%S z02QB*i#3%7giguye^XJcy~}H$)({*M^B6#cj4UiOi!|0|W-kB(18B6k(VYH6Uqg;^ zox5phY`7xz>rJ)D!w*m}U=i;m9E{aUrv0vtXD4?Ek9|CU#pA#Z;4Hv1L&rm}VJb zjpb=It7%z_*JeKW8SD*!7}Q z6c7?VIv0HZ{#4rIaS(d*h29Tp8{}6O3Two4S_jd}Fc6ymiMN$r+Qn7_EM8u6oX3Uw z6m4&&wV3yD#Kn&SOQcnbM<4yTx}8;yB~vu5@H-`RW6!W+!qEc1EiLBJtkBTEnW!+7 z>W7!kmc(RahA>O7*mcN0*zt>p7@!9Fb++-#1nl(=-bUvWe2bwUqcLtLRtFqvfUiLP z?~c>(Inx1hPB;ZmBKVRu4`vRDGG;6F9!ooXUl(qdK8~ zf5XP(?(xM~Ft-4>DIMlRR3*2nDeS-JgHZ#I^ucE_TKcBFq$u(vRtlRR1ZE-sir@-^7F7Gj zV-0j)gK#>B^O7tW3IsppkHY{)Tx!-W*jT56tE!{PebPi~$yt>yha%!XzI~pqrk*+@v?|IYJe4p0W5=SqAW8af7Hq5` zze@yV%Woa?FR=0YL|auRU=HzJ|8<U*TB0y)($bRUQ|M;6U>m6#CYjTod0 zxDYsP!6a3A?ymp+je!%52?Gf6>|f1(iE^{;nxD7-_BN32I^}0*y_UR6RTnvJNYei`h7v0?>RQ z>5~Q6>uda$Xo)Uk!>poSIDG7{2US@jC`koIkE=@dT7rj173y%ud$s)H@XOIFwU|~v+TO_Xo>x7M;8cI{R*vRzK_gWDF6(Cn@l6YqHnRp(QnDl{!& z%i2TuG#D#Gu77)*zAO#)wl6tm-18d}tVj&=p#dGb?C$GBrr5A62>RESY*yb_0~nth zAa;fBPy#Bbw-Q00IoiI1KF?rkZ_9*_H$+KtQRt>5e?U+pQYfpDrmrx`_KO}bCvz*7 z@=G583SC3o?oaM_+*Ih|S;a&#Vf{mGOg`-j+lq(d2xGVTvdDONWh*6T{+SR}KipOL_T_8l-tw&y1;R)1jVf zUYh^-wisUE_{rI!`qb%tbn?Q+M}>>9CP#{(9`(+9?bk^GmwV6rUpoZg$1`8ymA-UD z*DBz`?AqVqZ>}EI@A4-Qu49E;Xn{NS9O`G3%EiUcRX!_Kt~3989=nahbi82zh$dCC z%0lD`CL+_D!OV|?zp064;|-+G0lU7M>)|x~@$@L+F|TolXac zDy8}{C3-f{($Pwgn$VV>a}^GQIfrCBez$< z^PupOO-trUW3fislXfMZqzAi+DjlZ3R^(dZk`S7HaG==VpDz#8Slflw-)VJ(w{aH| zx_I|CPrQH6FX9zdvzq=~w|4Q?$8qt$q50A7C!DtDm|(lQbZAtdr{W)GZ*oqjwp{4d zoDXqTqxh`9cmUwB)e`;f&I-$-P^UNpcjTw%0@_9!kIHgyjW`TiZ3pDqxJjFDQhvxV zj5XU0GOA2w{BsDYQFi+EaDI9*5*EX12O8bh_os^_~ z=}opyh1ZOYy5mp^>t?d4QGXzd$Xn;E!5W((4%tq{2fm|I&czrIP~%AX!4>0r{{$Ga znPKWn+m3MW-M=0QJlxsTtJ~ukL%%)%TbsdUeb__qySGE0);PI1ml7Va$jF?D4bkF1$pZRqLbFUD9PKEv_ zng*f`^`NXu%5L1wlD^BB0mime{saT9D%z(%0#ykL1!yX`0#u*IMy>2gnTBWZ7=cHz z+sVrosPTXUWe}0J7hN;RFaIR9VW4n&R5GR}qR0MdKj+a&dswITx3sZvI6dEu81R0? zLp-H^R0w!ta74SX)0>r6_B&1bmO6Obtjw8<{>vG^#Or=!e5rC_Y4x$SWjz+PyAyXR z^0uce2l^Qd;l z`!kRks|1R0g$wr0w-`>S6b8p9?r(0mW(gEEl2{;%8Yh1|z6zHdb-S8=1cKEEGMpHo zYS&gVRk!uv+&pG13X~g1bS0{MiM(ZOwklEMX+7vbq`M8U31G?&4ll39RROZ)M|^2y z4*m<)6F(r6nRt)8n99ng<#fX3Y}Ol(x&O|`7ecW^9IQ{zt2o&Bz6Iz^7G7M!3V@<6 z&;h{E8dN1^-&Dmey%av#`b1O-QuY6qAS7&ks(p4F6UHko(AsZ6?Ex**mjv=P3^4HC z5HwYxYZT{)t1h5V6W1v!I1L@zp58V}WxXk$Xy|#2vyRlR*qXMy@fa5nm99wriAzFU zc)}8-^*vEn?{&dtib**%jhMo`0ms9fx+bTp4&^(*4*`wv&#sU%4?~GQsK*SJ zM~M(^X2vRiuenuS?Cya)QH5=Lsl#mL5S@!J%r^LP-U*S&J7W**P;cCvzb1k~zlxgK z`tZh1O9P^x%26fLKDF-S^c0ZmmusSr%T_d4OBP+qKRKg;{6nev6mUp|_L2QoJ0Z+I zryVcDWZhd-XbCG~07ns>!;Mb)mogEH0~S441X-s$+Ms;{2JOdjdB)DAHH}+f0aM%; z9upa551?|_0UFy**^9B@4@%F!>=k(o+?mE;P$U4Z-$>x#E@4M=e7em%8`Umr_Vw}$ z$(qrQiRusgX^!ND7Wy9{V#}V}TA3>o&HIdz6Mi5XDg33I80mzRbC_ZoVD^Dx@L+bBHv)%JT z$M*Y}Q4-KXPPB4&wZin>wsOSl{ONaMc@$Ay{Gh68ETil&8~LFL`v-H)YF(uGP^$Rv z*iZJ=CKcmOxvLAZos#TG526t22S8&)O`Itq+oRpQseGcG%83%J&IDxF-}Mx7HxHvM zVdrFiIy@)P9e(TQg%)X1n`Pw~Rj|64Fp+EjUkUN2O|Z85v-5$nN81;0EP?C+&-uZ_c||UU1;qXTeDXge`d-1DlKHQ@l(4~g|M~h% z@puBz9E~d9N?94M-xhfb>mb0iN24=QQ zsEaM9qvWO+`?4`507vtX@nW5bP}l1jagwO0hyMHPKXu+vs6(X{hD-tEzbTOkY+n9pHTc?lIEz z7byR7fa>9kCMGd3zVAc*Cjf#e*FvgW6I`hqU6m=^5rB(utF{~{9RW$VZjhccGBX1~u|S}% z2+FKlRhEy?Mi8{ZIc>Rx18ab8f3wp1&3QK*pN5r)wzyj7h>zW z`9)FbBHoYs=?V@ad^rl!y|Txbe3! z_mz7%QhcXsSK0NNKsL#YU%{+MlPuY`9-P z7|I_js)EMf{`_ux)4X6mD`_{a=!tZGPNC^Xe%X>oXJJSKJBa+Vd&h@2Lx$EBdPNQH zs(b-l@FX*9jvDs5&;n?PWJrjOTKRhM5uIN91ODwvS_)9)3WHuq0O=g588s5n!H6~_ zAoQ;66Yi2C(YxD@-KqdOp%xa5F@#Z9F6a{ls}9R5vmJkG zOhz~OyYRSQO;r_0$mN5LtE%Dz{F**6ME2g4xdF%uu@`ZqT${cR7g~lv>{Jb1S;9Lt z%aUIdP=taoWP2>$u48jO$J=hntgfux{Tbs7NL+IT}qzESfE6GKXXijIIJ!3IApP$%I)^czGmxjU=a+jNvaSBxYNbL zo7YqNoMA(|--1^YW7)Lr&cJ9skj`e^tZRZvkrbtx27X$be`?+1oyE2J z>@h_t94Y-fRk}TuoM~s}V4?eW+lpKyir5aQ?zyEu`fv{VS!*PzD#O4pyK#21l}iJs0vx`Z^jx9i$ks(H_NlR zYxD_=WVDxsIM3Q={$Us0f&iKd2H>e6lseFpGUQ@kI)Nk-Zv+0gANfgf)D3WpJ|}~_ z?2}qFC`=Kd*?~jM_rbiRK12y}-%K$ZY0ve$?7>9K*4S2(Q%#b8Y zovz3rX3r?0&>@cAHWlZG)@+j3YOHGK2_0*?4TYyu-5iQpYxyE{082jS0po9d{u!Hd z??@$E`q)R>7pw<@f8_HV$e)vf!G#WCjp@{pW+HE5=RlTKNPYg|FQ`5M0=$uq3s0u( zR;oe%ba&Z19{q6%am6N0It9YPl|e6LEZ^uZGngt zdgj<#=NxF71v+!sFW)7WX}+q(Ddz#IWZBM!lJ{)CkBm#srm;v)Vz*WhRRAB1@Pi4_z@O^= z0l(^EB6&@wB7k}cr0!S-q{Z9us#XAkZF}`W!;8}U^7@YeRl#w*Az%~|HlnJucT9i3 z5%s2qR;k&$-6>Hw?PfX!=?5l?q04o z;1cEH&RhZ-4#|Y1aZi}&EGlJ{d14BR2Kvb}#!0rWUjsD99{wbSFy_fUP*Mf4!_Xg~ z*C8)dBc(%L)J9Q!mG(6fVBN)oR4C!QAgH?z0ql~21`on{Hl4CavS0wHC4wosQ|?2f zL9p@Sv-n28ji~Lo60IMeQ37#5^`uQjOFSq0GaM!?F+5A1pP$9;o|W|la#9#xw{vOw z&E0k?;R?LTPpu&wYoHXh+MUz}IG8{ttjQ|$@?g0OO=@qdj_|}hdLbW=aio!n3hP^? z1)be-Oq$S5+Y1NSrH(z~8i)tZ%7UE905tA3ot26^bK_9Plq$zirMQv&0)s<`YLDhN z!-z^ZnCTKWnr-6^P6GEW^|lM%+o)`IdDst}pti29zN()ltzJSsx(~lT;V`|OEOW2N zzvt=rdusT@ryiQ=J3bRJqNl@p#oM?PLy6HUV`Ye9v53ZX(eRko4xFj$3OeB*O6~9~GPFk0{n(L{z3Cb#Cx*Zl=@cag`t)KF2zzzQ=cg zR8xKBFsLgyzk*&Kp|=A;V6TB1|Dn@y+im8lfX&Q&$LUkj z9F3h;9X6NY60UO;PO)Tk{#wlxTE=pk>@-p8kXx*55|bxTV?J$K%JVaaZ_5~ro#}1`K<1w*Lt-aa)0&?`{%cOS|E~|~rAdv}^6D+S=L-&V?MLL}Ay*qvJJp6nc7k!}U9A$S|Ia#75lQHL{ONtc(XMi3VBF zI#{N(jg}ugPMx9?&+Iozx9FVnMB?ZYExBtajLAr@NL>_hgqeGoF5Zh<_{ThZ?X$}L zc4d5$P~Abp3v+!7-G94$+icO-OtkUwOwqH*`1q#V@1${c2!9_Y-`ccGVe{T9C9 z%IfPRrSb+xp(?05%=;aGlTMgw*t}#KQybY^_&E$uxHk3t@4lW^;v3xXCi}NS=^4Me zwHL7auOA&Wkp^|)a8sl?a?IrM@d`E-8c39j?k}lecfkDFr!*l`15kpJ;PjTJv)+`O zj4lRZS;(2d0^;ftzO!2rC=Yt|@H6vAGQ57`qAsGoq55D7vwZ}9MmJ`g+HAp6rB@%N zM5e+Us;!(6a^T_yeou@df0MxqsPj8J_CVQ0>@{)9kdK?2+rZ$UOV{lS(8|N>xi{xl zTP80`Qu)5AfY(cVV3Y(kIyZ)pVb$>)#>8?mjh11qk~cl%_3i}rj68v9hz!KW%kyAL;?)!)DLOOsyly`)~I{MDw54+ z2{klw;Y&Jft<^d}-PB4_LzLZ-pz@bQbf_Y653T$JXwl~hwqs>RZ)Zvi3)kcAoDAxn zUrbL=het;0A9{^1u$VWv>hGVwkm@tsE`P!7xO*EfT?cAe6=U3);gHj`=)<{YY#&Py zCC}f4v-#$ibblW#Xl4>K==|1C=Q@V7tZJ7H7M__g%Bg5#+mk{>dc=SjHa%2+eo#bw z0C%uXuxF{Y<(!S<$l}5fC>9GD@usF1EwY338&YGbhS=sqLOu ztV{-sLMddbLeHY3_)vqW&Nv7vB$`9ybs3g#H;QN0WS~pr=~e%9EGh!~ndF@cV`1yx zABEML>_wwG7Kc|{H4R3`$2$kIWxST-G++KKX=q3RxszhoiF?@!9z*+H;=&?MSSI`7 zD89fHpXOp@{al&6a&64JlJ>Yv+|KavW2M227Yjy;-Jd0-D<9yf1w{@_Dy(1S54&t& zzA2tw2+qK zH1*H_VqcnS?cXE3-Tg`#c3ZeUBP4<1SwpHh7sM)s??PTn=9SvgfukK~N>APZ@o_)- z@gHD5t==+*4+tNnDY4&URj1+66~?}~FJ*9-lL9}Az+sSbDl?CfX7HXNT@a)1)h(pb z&Bs?B86EZ=UL9?`G``rEQ%IicTc2JLkzFocwi8?l)elzZIron61t89u#b-UKeRx}c zI|wgb>A)mrXQ@SrdI+W|qaWhj)WVQi2{6&Uo!r$4QrKI_RVUc4C6&ML&KAvon{I<)d@3)MSJ1 z*ddRpkM-)fNuOZrf+kdS67eBw8ggg@kaecYe@>gCd;#3kYSN%Ai~EZDs-}NB(jY7x z1*}$Lt?7Xbxugn2YgB)}uqLk>q~cS!nCK_B+OHEczg8kTTuVS?xZb$@&h75#?}r#+ z-!Qj79E9cPG0zdI4WTYmUH`%O^%bnKIV(ZGeYD(B z6(RF1pp2XeJ@%;f5!1{^abL1&=&rPbfRi&#o0)%& zJZSc*9sKp}B~5vTydS(w(2SJy&MKqc870?;6f^reUqavI?OkpP_gWH%?|4deWOn>; zgoPTR$Te+X6g2p)MsJtR7|Cqt<|lf`*Nx|S&KT#1)9nPPCngA?fN17)#tMP^-=TiL zCq!C&`tB^1;5zOjb{1O!M0n10XLyvm6cz^DoaCg(sG*D8d%gPuXTZC> z@3t1iCvrVRB-KPY{j{wOK6%vU|B{v4l!Ll?qo)kDYpGTD@jX>ULn1 zIt<=}yADgv;nz2#=ICW8zE-q1hE*)ItV&svutk6b-4IPvmD0zmM@ zM4B4!GZ{jla<+6zC~`^rD)yB~(Yz&sV)c&FoF&3SwP(v&NDqDIO%MXQKZI+_d6ZpDti>{EAJK5LuLiCh=|C49rrvY6(<@Cv=7th7?IPd4;hPTMC zkqCE?mT;+Z=*~Dz&Tfx=WBED2EjU1Ii@!QlD#5D4fB7IVN<*8U}YMzr6Cl5E=iys;P=&)wQ5EVD+@XG9=FcC|W-zA+|qG_Z)jT?)@7 zZmnF;3B0}_NV#A7b2o1kus~{K{%7l7W-F`u4ixha;w+o=N&2pgoO-FM)PA+WbaUV< z2!2uU`JQpk;u?u!mVxjcxYvsG_!c2V1>BUN!8^%80z>G%Zre;x%X7}YLnv}1gzOXk z9$`JmNlA5@{Qel}p-@r;-N6lQ+hsp#K@9OX+mJV1YCgOH+pH-pZRGe>9(9UZSb$B- z5a72V0hxT`g32piN ztk`r%$pJSQW6#ExZ1Oa%t>CU(ZEC%Oa4R(bs`fFSL>%^-W^eN3?BM>!BAiFEg(7bW z&(FMVXMaATW&xkaBqb=%xkx?B^@J9i2J#VFUkr9TYypmP`gSTD#{3Z27oGz?RhpZ~ z_R<;J%kz%mj_nqnoH@yn{ZR&sCc;m#y^VVx@L(%88&e zJKcF6Si?UvFj1vpVKz&z8!O_QOS~$m1)h6txXlysZp#1t?tJn3q^TsQo~7Gq&dLdV zV6R`3;f9Z3xkYv1ZoElT;7tDW&J9F^;n7Uh9jQCkYJ6rMS>s!E!1`tX;1wJkyroC8 zk$bj}MW{$!{C;?#jJ4^`C?slL%UdM5&1rDgAS^1z7xl0c<`vZ%H^Jw+I&~g^*cSvz zieFb-T>3R_!cD0M>Gk#g1Xua}L+BnA@lAsWZPkMQxeH4`-7>fs_Mbnd$ zlzPW%Can#^pal(v`0m4XgK&zz6_2**LoQ+-|DKm3gddRAy#)=a+$-%r+r{nAZ|QSV z(o)F)>g4qSiSjFqjDC=1Vb8FEp-LLVkXyi@Ol6Mc)MOe&y&_^vy-sY+he?8N9`6#b zE8boGP!R8x)pj?WpK69pCB@R+ET@xQUOOnC>z-4L?Fp6n^>b|A|L*omK32Gt~Mo3>*ox4Yi9Z{8Dhd?5S?{Ju;&lvq` z>*B)TS(`O-7W%f9g=kpb9x8O+uW*hbe2}0q^{%^%;Z`EmPd$a>Kn>w6k&e@VD zT@H8Cd)Q8bXTO{cvvxxEy|%9*P`@Y z2(qC=^Gc&B#X6J7Uw^qB`9Y8nXwML|z;_{2`PKChRq_p=!cK*t$0+J9x~*}E4L}@g zjTT}&BFyT^5iuZnqLB7D7X=xkpJ&#OLCyC(xNn8>8K4(fZ>Q7!RCY?%9p`@@KC3Je zE`_KHXks@e$laVg?VP2~;^b6@Oz~L=XIhLr^7dvPn_eM41G!X6R`7<O7V=@uq=lGPI^T&_!Nd9K!^I8T%bPVIyEon^ z^71^zKOAzV12SOYOe^4bzknOg@%moZr-Iot^8gOEovew_+M0l=0IFsHnqfe5 zHHY~cGukyxa|8(Y`DlkBVIRcb`4=}t6DLi;`;09)%ZONqM%Gt#g%oMPE`gh zw+4mm7YmtO8!blZ7q7A(4k|DPzQxTjxVYU|>ZAK!PvTV1O=EhIqj+QfrR_!NrxsT*3bF4njSCBB-Wu%$dcsZU@c#PAMSNuFw^Q?bNT1H9-Vy zM!whYa0v+sp(!9g!DvQT@1I>$d5g+|ubg+C16etsuaNQtr{e{CNm zuxb_X^YPFRaYm%<8>Ly*zdW=C3DoxiK`PFu@LSSZ-=PpV-Ew+O z#V&S?XYE_&{~Rv#>dXlo?nN%j&wXpGr8iZ;VGRO1h)v(irn$DP=(4dy-`=w4xrBG* zDzk*Yd>0ZHx#!V07y@EMoj}zv&mvK&{cd z-ZEC?i_o5@+(F~2;kJ1f-&T8l?hDn&&zUI2*7G(mBX0N-Q0WMIk8!aOQnjNqA>>kzrwuR@sDpcANoVZ10tMLl+=O(HuZfM7_= z-zU2?d-Rs^*Bhw|nTl{T`QeT>D7}lZ{+0eJZi!+@XQBH?gfBVQ2MUEe%906Pw_vhv zy%vTvOPmr>Q}3dUpij_w9PD(6?D`gcMuLEyHF+e`WB%vqBTD&Q374s>bUxa2TDPS; zF$iJNmC7f|=PJWH&8R(Vait$Er*qZ|u&WSx)Z*$<<6+;|Uw?;3gEgo7u0&A6huo+K zJ0p2=SN4GqD^vdkqcja5ap^Zl`8-F-DTVMpZuHq$5{8D84YA@U5xxExGAo$fl<~k8 zn19+-rU8+d7iq85X>dHLKsp=Xt9Y&~#mPxaBmlw?;YX=Xm2D`!3(ZQ2xuCYcQ5q`z{ z>;fRA2PhPfq*(O=e%XGFi?!+OxzFiNY90~SJ#?bTne3|Q1lJtkxbN-tJi5;=($dC( zOW-q(&2J)C^f}QT4imipX)j=>!a9IX6D=+O^t0b%$uQuLVE3&*shbw-q{y4YG2v}A zH=Cqreqz-^6{#R^!iNEI{kX6y!vKZew*OomU)x;TN*w-f!)J;0;2t z^0uuSe>YN#qlF$Jw^qnC_rS?)m$mL{RD|AXYjA=q6T^jDu+I;62{BeGjXwlkB+bd^ z1<&qWoNP~OgWA2w)jR=W}psDFhI zGKP49&49Xye~%0cU4<8L-#YvA1$wq;1SYbye!7E}yYBp<{Y?t(y|V`5T#@I`&ayP4 zU+r>NTb0#e?j$m$&i=>&5y>wX@Pl^V7q4h1K0K%XhF@3^`YR7a@2(kiA_ERlSQqtju zgxEPszQ4yVgXL&M{9Xh50Q zFe}V$JH}RtQ-guNtlh+K8CjxQ*O|hi)wlQSRSv&-yC{?Y(Uvlczi76!lT67Id%c$T zo*(g9TO7bKkkx)x*r&HcHU3Nuv01F|1}It>G|L^3#GbUmlKblP$XFRRX`9V~pSQkw z{9vnXR&q8?Nh3GeirVEkxiPB97cPVlrTUx$zx+v=1E&oV1wAukIy_A{cWV2hB}UmZxI zO_$k5O8emOQa!%;{ydKP4O?>Y=GBhdq*a7>sGI~JyF5c%Gij5l{U@3_j6YLiS)3Gb z)^{yW#82;v4wmuhf`nyo5>tPaQIA()e~JCAg$T8WKGoLY1c)p=1Os|D5$C&^gaBtk zV>RKBJ*Kx3cZOGOKRs=cNq>HJ##6@Cle;^8M|b>^AROAS-6-wCZ{>BvxPqE%sDiGh z@Ln~g=zo6L>J1`eb16|0gQ$Nn8?1W21zSW`ak{kxUoh2#PInpgo-D8vzAd&4Jl_hq zzPj++R!ItS22b;DIVtkxXzj7lEwSm3?;Zl-nLDMvaRzay^=wZ=(fVV#*1i$T1q|=d=PlmkJrV)mG}wS>NmQ#Y|p zZk=gIFGg>1LWt4VHr(u9QBtq~4~8)Flr#}6=~rU=uHcn)u-#)BPIL5eWbwfOKx-N6 z2jRlqQry(7RhrnVxzQY9Um9AyN$XupD_W422c(_dJ1>9SC~}FZd2-|T?i9Jf)vFc2 zhq4xO;en*&IS7XJJZoeMu#^OV2p&y80gZ4sFl}pFTc$u#-K}S?#$mP>OgwYA+}S2V zU$8nV#@scf<|KV7gRB$JcC4;d>({p8(lG4+BL?Y?gQKXG-$X|ni$;jpk%EMe-_%Gd zW!-SD;wnKhVNK%6_VXEb+S3;f_if$F#vQRtJfHUry6aPkf_&I>gA^=I*`zwGb_Hin z>*ir^gN9*x?Olb2^J(THb-HUnZlt*i8yc9+KBy*O)IB751PsCLC?WZk1vbr_mEHB} zQ>CTLVCzv%nWV$gG?SebhbKPX)d6nL$U{IR(RS}BEsdJnZbA~k=5e#FAe`-uf*xgW zaD__xr3!c)Ou6)xoA)FqeJCG|o*rhzSL^T1v?hl3T^UBr4+V#oyv=3Z`kDSFr)R`PO^-{k)EVXNpK#U? zfxqDboRGue_l2_SQ*vSX0*r2ud)_}5>}--8dbJRTMz#P5X;NY&qX(g`D(s9osZY4b zy&21qRogn~I8KSp{XkIjFfdGo23-&I@*90Dz{ zx9hI-xrg~1uVzlXw!sxNinKe#qCbXgv|g;z3~P=s89|VXbRxT%9nMG7>si^M5=Nm?(y}6=eOTns^D=7YUW<1mny)>1S54!GMr5#i041p;0Vf9y9S5 zkn|?$h61R1pxoE(?bpGQ0m}V;%9ACuvNA(2MBlbVQYp%otgi`(lr_GHMI7Ukz1b9L-?$@d06 zevS{pN|%8nK99?psi6a#OSp39`~)btI=6szP$W-B3Xrx@*(Z-E?xD^0=S4y#H{&C{ z0wH!hBO$k=JHKwubl#+=)xG-e@zC?g>WV<*?Lw@}3ila8Bp~h2P)X9D_~hv*yGPq$ zds?*pp7<2@zdO$3Fw+e>Oj^Le$4zR4z9KhGMPgGKHBHtT@N!;n;9p}+-|T*YMA#*9ubV3-cBC!222o;aswvFHM%+pijvotr=x*KHkd~e z!T99>(Tk)Kc&YdA$G@c4+_{P9`V^-m3o$(e#vvUt=-AIz+{Cj1{`Zyi*17rl!sC`bs1AR!?ZB_Q1( zAfR-Eq=cj#x}>G^h=53gbc5vKP|_VD9O}@0=x**l`hM^4cmKFEcgA-dXWoI&{(RQn zYpv&b*0VdRxaW3GvaR*1Ulc;0^_5-)?eVzQ9~mY)YfT*T(bF!)F(3{=jTRXL>UCoZ7ELYa ze8cu&RoQuay6@`p+-<*)*X?vE&djxqa{wJfMwa98nA7n{M8*+7;AyXIk zzET>?=B*>S$y$iD*0pe62JM&An)~YcPRTB<2>{r_m z)^OhffnV@T5@FxHF&@rBK_L-`hZi4lQ1M*x&`6G>x$QTpe4o2N6by{}8D22cwl(hA z;l2~R^mh5)(0KW5d_S%LF{Z1KfDmm<5_ONP+AjV@8YX8cEIt*9J{^JUyrYXtx%DJZ zB(11|i;K(QF1Y>nrxk(~*u0t9I{hu*0l*si3^ZU4=k7m`9BA)}zOd#l0BH=6Wu0V> zSoiq@@4Go>H00@m8&M1rx2Z>e#tHivk6(^q%yoIDiu?BFbi4)9A(aj6j?Jrjb7YPlG zp3s9ehsvd~O)k#`<%x#sziWZpZe@->Y29oFoz@)Y*$8pSt+}1WtFK8#=+2lfI~8!i zF#ybnuwq&%ZJ9S+H6IB+d3N#6_isT3Qu6(TZtfsZVX$sE=jDfu%ahu#Vy>{C)v`-{ zLbcS=zxqY}(yUPDSs~^TOxE^=H_^(^^D@Z<--tb+h@PHYcx-5}Eap+daX`Ln;z z2`TaznmU^nPJ6Rt3GKjGJ~|HI$nWDQ9#QMh7UNpY=HK|HY&~Ced}Z6+H8v(KE(4e+ zn!>&;RX*uJqX{-B`jPWeGEF#i>N1|d9pYk#4%~O@l z!Rg`QmVfH2M^SJ5olv7?W&<=m7kH^}{{}dx1Y>!;u4d!>p82L3KR}}^UP&hcHP+k! zu1xK(Hyi^>j}?m_sXN)7tDL_0IEasGAnM+_)ik#oCtWS?phX*| zx_;(A9}gX3bMnpS_O6iBv3&u`@jdLaN|q#DEzQv8HX0Rakw;F8E{g*$2;pu0pCs4a z9k#3uVXgGS2iHitK!PiRCk9rnE0&Q7)N_rEk;_hsM#l;>jbwC`zW;zPa5IYE=4ACS zDB{{99=h$ek)dr`-#jI*sII;b?HI4LA_Ip~MnOTC9^BauxYx()ABF$T#^2pQ6E*e7 z@tB!oL8`LyR$rQk=<|PDxj&XXbOp#Jo@^a@OFKJOxhs+<{TyTJ$2+*ZYFBZRqtOC44}3|BOCZQAYh+FPh|W+1A$wTI1RdbgC2Fu4_T#Eaj&1hr9j#3h0&{4b~p2u>1v~n+0N2 z4%+%Qw>2%FxY|t^+Tm4HcfNBf_>x~s#LW~ZwJjPn?Lt6Gn=4GfVDsg3j{!(hTSs#Q zl0Ak(<@je)Im zD&((=|4|)RV=1J^LZxsDd4(45tyXm>ImKaXGK7NSV(w7UK#T1GgWk#K-|A|hMj7ECosq{f>jiTs%?+xQBge!lf%pC;v+mmb+E~z&ubuotwv=yP-+3kJ3e4v z>FsmxwS*9fdw7aex7XuwZ@o(cEg|gYe&LxprPKhUhyWp;QD~$_M0VN*wV*1O{F7NH z;vIo^O2zqv&-WJb1X{X;z#skUL&EqZYl5++G+Z;M47 z8TMq^t^BTuz9fgxw%LP76p?k#B};4x5F}|M4V?puvx9B!zO`o9fk=|k2TbUfFs(>feN9PT^xH;WVw2@iIhIrE_RStw@+1y0K4jecIcN}i#!O*4!0 ze#!)dul3Xe!EpgH&slnpGib}~w-K!f&soLC~{EWb8e?CIMBW z4&6aa^Ho3g-Z?nxT*GiOCS!VJf89@8#4+R(PO~s~4uahkA#YhDl-IfajuEr|SO~lX zrF8&9IHqm6>7Xz;3)$ebI{S5RuVE|)`p=y<&^klkjkSUGfufFt-4YLc&2wZXYb%Av zb~PHumg!Qn7G|ZFpK*;rM+7R>3v*`vG+G-<#MuWj8GwB!Z5sPz+3MAf$MV$+_`ELo zGBPp{7jbYWl*Y8jexFX|YuTUZ-oRW)hEYnzRH=~<|I_J;puC@(GKiF1G|&)yyg7x}H2hf>0fjr;Q2qab+6zyC?_uOa={hNcR-M55#NXwrsLNT?SerT_>^8my=84Yc2Ny{MX* zCKyG72<6g`jd{KairxyC7^vaG?n`TU^gLn-xapGYs`&yzTbbM@wijIf$pgnBlB3yu zE|V}yy62K>&%)DXO|@uil*oc((Nx8c#UoXF?DV=NOg$Bq?FDBa;X_BpD{lP!xum(R>OK=g_Z#z~Kgyfp@@O2VS{$_@SB znkx7-CrwkhspJLv#t!@;!siUu-e>X-%oks8M{7qD4Y&ObU4bTa*$yPJ!5s@XHm2(n z;|#ngd|am8f{<_*ht)wkrp9{f$*QjJ+;{-!4jz~0CDD{hGgBJUdh^ z)54_gF9rgD1_?Aj#QJ2TxHD&wx&JPSm5hiOoxLdE>P9_|6nOY1Bqo0#%**?5q{{qryt&=+jm; zbmWft=mY)zouHQcG!H2#;%%+LZDmE;-=6(NOL`&WpXV>qC`LOhJ02G3%#!h1-Kr=4 zW0s&2S|%3-zT$~`#8R^tS=pDwQUmnTqB-!@>SjK2@Y>#tEm999O%oEsg@``0AzFIb zQ9VvoyazjEP?&M#iB}~baX_V}9qXrUO#v7slV6C^PACJ1<^`|_0zkp<6>T4=tz0H;AbH|z2_6ZnSc-x>#0sjKhznRjYsh0 zapSO4pesMx!8U{$I)~c1E6K1Y@c5kt&@qg9X=E_I*BBw|{^%rIqi@U~qz8r~hDq!f zV#n9#d9q@}v!vLu`ZEZ1Up)(2PbrDC*}wHNX(6Hac5{umvaatPo^!4g9Yv_}`e~BN z@k-1mg%S0uzM`ETTj!}TunaVk@7*YVO z&UptoL3v5AP+{ij*jqoACI^0>6`2JK9Sv5bpvdMe|If0u`Rg;;8>?$;h5&7)5_0|W z=4o@S6Kbs74Eo_JVBjg5X9=E!LKup}0b|!;1)b#5BJyivp|my}$FR8_?-3G}3A^2p ziSW|hsj<|VO(qz}V1pPe7arn~`>oJN+BnoOe)5Z%y6IR=$n`L7?f}~kI|D3rL*e+K zs7Ot`aY{1poHG<`HR2Yhfk`84(+~9v`WyS-#Tkm zc@P%1+P1w(s_g}Ij`T%mhtqXG5HJHcJQIAP-+=b4nS6dt_nF9`{a=>%W1=z)loUfFBW=Zc@Zxdg<-gL%&b{XWm;@O}d(021 zszuxmOEgq2ml~rN^UP+3bAQb#D-A@dw^Vygh{eA$ z@A71KVFL-ThWw#y0+-3Utt7iVcXZeWF#1e`=kKTep8+f&-V|r!3q9#gYsjUjW5w~| zEXsV?+R@9pv!+|5*NDu%hf`~g3)^+4`iUt%H5#K21bao0fE=asTPo@C^2@pn1^q>W zcDEnbe2%h6tuD5wkXccT_r082$<@t1%FH%QMd%B|Ayx^TYoY_6EW>;0lTFKE&`5>C z;sKrDV_(wMNb)Y#IH2i1e<~na0B;9)&4)`>G)$nK;!f!z`%%S;7^5&AjYn>el`SL~ zPMVhMxjZ-S_i9So-AT=!{Px4vC#05SDwrc@Wt9R%58gViW+6kAN; z8m!@Z_ZJpFl&E(au=>RSJ`P$}+wp_ZoXdzC?5sGT7sDvg1cStNOYWcGA?0cGE!$7}3R zMq;q7j0D_xlH5vO=fm!L&-ftU0p*Nco5Rt}qJ_k@0hmqk4mjp*-fO$$l6OU|Yn=RU z<4i+1cfT(;PMz^J?n3fSY^Nlwe-c0seV963wkjVCot5wP^Y8B>8$W+#5#OtDa~3|` z&8xNAxCt%@^$1@+R2*etMnZPkr^9tC5rg)nY|kk+%=KA>UMw~Gc99n` zqXXWBR`weK&Bw{ic6N{CJGY-caJ)|dX2LFdOlM zbf52c2Kd9k6~p`H*HVTW{?|UUE`q}!m;YxF7{-=}5mhv$MP-<7Dhlyl9ii!qBp0?${5w*FU*qH@wz(7q|tJxYRiysCT)tr{zUUq>iq=<v2#V`gz4DPB_D9?XV`f@c&q}8gbxfk-q_5N6(WqsFe&AUek}~5x3=k>-OX3 zuZ(o;k%U%WE5)9!m!;vQa>d>M(cSs9&w9s??4{J%dTknWA|{e7bM+wI{d2B8DH6;Y zCHBHD($}oHG+(3{tmkVWB3wOPM=|EKojiA`K{vYCkg7t$YVc^k%Z`JV_KCxuv6_g1 zON5oOV9L^Q)PTU-l-kz8Ingit?hRK7%en9L46aG~0L#h=ZXH7rNBq}xfNMn1A~l=F zOCB&Y`EjBmq`$u(2RZpm$ejk-ak{4HEg(@)Nq|nAci7csYAJpX5Hg;j++Pk6bF`dY ze1}=<_fln%09qod3?sw%aDN1;kVr8q0TE)gV5NT@z(o2okX5s~S+#dW*v9pOM9V7}=J(#lx9J1;gNO`*Pb{jy#4{eKIkw!huh zcCUsnlU!kh2Ek>HmuTpzPm)A{gW`P4C<#1rL9nJU{o#(=hi$%=fc&^g#=3Tk?KOae zE(RsR+(2&GS+-^O*6ZV247Hc5TdzEwgo${VH>!Ws0`WTKSj134K5F{LQJc#=gZDVb z+*|Jf6%K{v;rk{cTTj6%v!c>#S2m* z6VYpO_3t&*)0K;?_QpJ4>DgXh6cBdlt%F2)4<{ZuhY(WOpP=7i(RtBfYf6D$0pTiI z>eS?mi5ACv=y?FdF-o2gfcJbH{}}+L#CxYOSpHIZ;!`qRg&gokLdN#?O(LhU_xio~ zD2^)Yg{plj_$sxh{7mBZW2OSUR|w-{j; zF+#rU$xs*Z4Xztz90Ul0a!= zBEm0XC|K8rYH{eOC*Lyt?P)PDEoydfOs~{-h7?AZ-WHqpxk@~fz{G?t7_QMztf~CB zHZZ%3|8n44iFRdZWF!H&!$Xy9kokY>9As+$MIgXn0BE7r$b}EH6ZM8Amp;P6Ga?=> zdSvjYAog&hrp!7)0|&)ntQU+@4vb`W67nWfR^^EJ=2U9PP_D`kB z^U6T#pJUkiaID0Ef!D^9{F38eQQt8PFm1QTjo|I(s!ce>G;#1OQt&Tuiys7 zHmIxbFDG0t(u=}OUtzl*j%eDPD{TEO;hJS)RPdi$8P;p{_|zo76vf5sj&(}(Kct9d zUJZ|2q5xlu`A^Vc>C6X>(MwkT;zzAcxf@ze%ysPcw-3&!nF1#jhn6H<&WDg93@&;u zu9r0zrte)oVGawZ>c+}|sO()oJMDHpvD;ACz!R{2QH$B}L$I{6H}&9COnUV88c)la zSw~mO*~jKnCo`08QrPyRR6CB*k%3N|$glObSzDCS46laEp@Rn-8GuD$|9m_{w~t`y z{I@osM4|V0IN9^@sz*#I{N*M5)hPmv9^u3VlEz7=zuYp@tj1jKcv`3<$zzbOF}lBC zS~$sd2V3_w24H3i^vDH-J9(SzO##K_B~?SHpuJd6KS__)Dcr;ZwtK zYLRI1M%&st>MJfLJyBKF{gYBQ-ALmh`;D+IFd&$cu#YlRh&t^pEM4hO!Dz{aw^!y; zyY~?PwDVi+3d6r%zLVwpbBoeUHIr(zuZgCnK*IUMJ0CR6y#=p{PkeWE16*lVbB`yn zJ?Tzwhs&C68t{7_$;wReH1TC zrW}UBb60$+`%@>|nTBZaG0; zCl$LkbCj4=$ipyKtooKQ43n;ic+USw-A!ck*({Fb+t#*#1kr9~IL_hiwQ;5v8W;X=?$A+27=E9eW&750cG6wjqdbYlX6R|knAN!` z6P}IR+GAM%W2?7zCPa_27spOdhVjqXODX=shZ&b?mfk5Ol-&>0Ru90*`7%j=pO9j9 z2P@wfId@kMn3V-aPP^Q^Y^LC>I8MRTD}lFx7B@v z|4J2f9|)w_T6L~=$OQ!6>UP69YvaWd+lMgtZFG_|H<3E+J4TFKYATh0bQsAYR4!hQ-4^^_x=s%NGM zpzpGHt6PF>v6_dcsr5Lav!c_kC#@nv^Ja&P~mMiiP&^yKJ33q za^~LU<@~u9sK!n&j1Pw9YFD^(D8`)J!+T!^F47}gp&lIR5_KiUbN~S^tb2B)Eaad= zU(dt-A6esvP59Heg8&R;8<71jAsr;77H9$SzY`k}1lL%Lm?C4KrXd=$OcquPi~)`vb~)5J0w%1 z>}S!1@FZF3y*v$ckWt=%i!bj(yS%RM#Se&zL!qO38T@*nqZfON7qvO?<)kL;q)d@M z$>Dfr#86|bahIXYjJ6F)ocL$LA1#cf!xZ?wFyaL!14;q?3=W?TfOL<+9O!`-_{Qw& zPzD-11d;}{FlleEhizad)GXy+`iNjc&N7>gc0eKJ7K0DKsaMBPlT18nrov3=Ie8NHo_H8AwuKF|h{&KH7Mdn2EjhB)<|Preli0+sVZhKIu1XfU}|M z?R9C{K9&n3y{da>sJV8Q4XF|4TV`u(u%(C$=qao0l^D)`RC=t>gneWmAZ(}p-UVjI zqOB11D87L!UB5u9Fp}Mzep*# z{Rik1hxEhen8{l-pZDt{K9Z-rsuZl7I|vtS)TdclCPY&=E=h?h76TFpP&YFg;Gps_;&m@Q%%MH{cTxJ)dID^C zyWDxYl*T8xXTcO>U5M*vxuEPyN*tE$T96*^vxAsZDj1Xs^|Sc5ETk?6I$*WWegF}g zW*{WHW>2Qeji-lBBwB&Sa~yz^GPbfzOlb026B>^On-JuZhk0k+4a?38NeD4z!Y^xz zQJ_*QQ&dpQEp?CU%~@NM4hD-H3cK_58p(Td)rbo)P0T&po6~w-qc!(=9~R z<&OP@`35w~_z@$bWCzWk$$O!euP-=Q9iNkinrbO#hJ}Avf5;D`s#-5R^g+;FC;Oiy z#Hi#tHh<*d^|)=ENp^51YS6uwy$D)>T0tKs8~4VgyDRwA8P~*FvSxjQUa*Iuhi04H zC7?i!Ge&=|LhIjFDuH5izfUJ9j-pfFXBMA{;=wUjK0C`Wy>@;iySM1}m0saT@%sDi z_!*7j(vs}8_>q(C82*j-eP~g$aJ-!T&a4=)Q?cvAvPE0voF8pgdpgwM{*6F7IlyOk z=ej{WAH6fc--W%`Cs~#R_|6$~B^ou2x$?rv3? zme*dzxCIKkZtqzLOT9-kr(jRbxUEp5WkTr^LBUcP_;>Hh*F2AUQwsclXxtX>q2=_L z1r-neE%G^23<6h2; zi!9ltCa)35jXqiq%=6D#V`MLq6L8@wB-o$2QZ8aP@)SG4U-PfF{ZUj!`$Kwti&A0X z$uRLB`wro{m)|_iUWjkx#hSkNwtNOAB-)pgF2?u^!1Nd}9r4P0% zR%mo=KSiUzfJTCx|5sKM87T0QT;kMlSZa)QKy8M7mcLMpu1M0&MwN=F#;9ce%(B#C zi&uy81dRYI0tArM`ddue3r?TL9O#O=MY-f_IYsf3%4q_Dt zF_t)?G_7H8=T}xNLY$nMk%KzFIp(SV7%K7xF#4b;f4ew@ZFlP;T0eE7 z!)8gm^}ho2P7binh8(Nrp_@7kxW2H(ub~G4bi^Hs%2f6F z{K-g#)nD*n5!hGI0R@YcVGJaFds||Y{cogY2G9&~8ofE|+~pB}GZqmqTP*Mwh*fS= zvcIS>v=szB0{1NfxPMc;%G#aOH)L-!zcA$ zWD&v!)N2|@;_af_&T$Xp*wlnOATG7pPDL_ou>++p=>}WbjT zU@Tr+#1)KMz%nuVeE#Y9@G}3AE`lt#K;*@skbcFE2QEK-e8bZ&MR-?ABgb65N6&-% z?ncjs=rxJlElIDIWGS~WrO}-@{wlBPU2hO_<8YU4uA*G_zliP~c5bGX(UNecPYX(v zniZ9kX)GTBl5lUQh7yIHI}Rpuo(@YAuVHjK+BL%t(-7~9is2^AU{6Uh26TsysE;xJ zvEf(Y(Wz|Kw?AjsonFUxhWDrnw`?6CKQ}?h$t5%y^wybzj#$;It}wBH%)lD2Z~g2d zi*LC)16Ch>H7!M_xV2#c3hK3iu4Mj@sCrAR+`d2-9_WvIk9fZuZ-j+~dros3RwNcY zGu0SN)q1N^gV4ReS*(QM2 zSI*PH@P}9V(9~3}l$umc-}i3V;cHlJ3friS;9>2if6s_h>c;@G`D}IR+K7X167IAl zDCW^_Q(kzhK|%ADW8&Qv4^#7M{v4QW9Xca}@)0ads?qU5tctLuDwOWmK9Lbgf0K-&KOM3N_qehXgbU^#rfbHjy)HCd<^7f)^+uTYMu-nS z899ts;k6M~ZLMk7IQcU3c5J(O^JhOHT%7BN_WSJ?@=fq3+4i|^x}obuOp?B%CTvaD ztuWElW%eN65V=N(7P($-D?EuM*EHO2CQsqhm*2-K9new1+bqHxqKdW=GBe>c8At+L ztJ$Ig_*lJ+YFF#jI6M`zy10^r<5wic^aBezRsJ2*=Z()VFLQu-2XOv!^g+)w7wJ_0 z1oO{4Hq&y_(%970)ZyXbU=)nse(?_4$!^y*DfM#0tZt_nkF$P};x7wJ*V@aD-!}N2 zV$@yQa3h~a(#yq~*+ce@#d{tJkh{7c6!>1Q--AGMB1&f@0lP38yIxBa{UOCrF&uBh z^L}Fg&2Bw{4G8TsaHQ)YxD)RNu>}L*@lusTd{Y*YB(J)@$qvGm9|*b(o6UJQ2*6Y( zfXpF0sfqAgeS#q7WDs2jt31_hso+0UM$7$Thl<{e%j+pW)AIhH(0|$3cm2h|>-lv~ zie=hDz_fy|rUg8|@C*At{o7Qfk!t<;>-BbR?}^(==oQ%$&8%!a-`k|`_ zl{m_maxhGFbM{ntox#We!tDnNt4pqoa!mHqCDe%~u3n&-Wj0pIL0pbBR#vkB)&7Q- zi8|FaqDQuCsYqiy7OB2Tvb}RsV2GT z%DM3Ac|;0%8@J1^%o!^t^y7MfX|B|NS!Gnyf(!95Xj-|=Hvj5W#tA%+vBE738XR9v zF-A$A5>4qEJ*0WR>F}M?q>-jAN4f29I&=_vrqs6J<3#xtsdFXcC-+P2_=fZ<+Z_Uj zRqt-_Z#?1TVJ%IS*lxTNsP7%s65zRI#90ASi}BVx)QTNav4h)XUv31%13p(?UvFo1(q5} zMxye;yK9;K3PW-J(8^EJ1Ly-v>JsV)w)dBrBpA&Oe^!SNk*XXpHR$MLIya|fnuc~~ zKi6M5P_lO$>RB1P8w9Uqncmt1rg3&^Rc*iIA|!8FYQ zvvABOccqY!C!<_Y!t*-kx|#F23Y(F}d;bm{7ho{}RIFo_RtWBnT+pl?Z6SNm(`Nul z@9@4FxOT(RuweNM&WcZoIJQvDXz;^Dz7=^-Tkt0KRR(ZRJYJ@9#`#>GQv47-so$i} zFq)d^G*-E%;Yuc!s+!P;!!ECu=W~ztWy_~J+9x6}(?b%)C19SF*1N1F;K3(YrZv%3 z%k5HrMr(rfZyDKmEJWN zirYOymFy2n5Xx^izv%x9`Ug*H3fMsWwiUlWL56B_6CT0RSd6faMv2e}hYfcY$>|T} zyQn<5r~>Df1*gdZU*xt^C+i)$><|w8eJb~?Zkp{Nap!p_0asm;p&wuQSIl&W zt_lBhhQ+Glt84CrzMHQv0p@}U@6}JG2uy#oVmWfSG19lpb;mXN)};cVz4hZh29X)n zGGr;iNSH+4YfLO)=9bOjc)Kz61R`fPxCF`L4JrB# zrQ)pjNlcG9o0y{lZaP5oI9&4>Se}Z@1!h~cVi4gqA@{juYC)eVY8dG#Yih`4?Uh{n zqjWNjKeu;t$MDX%iQq+%(%KQt0e`$=(fHI@jWVQ5F3O}mseYvtQA~K2DOg9O`gWL$ z%Z8{9+~gLAktQRlW}gdaxRV>&>_NhD%_#-k>8c7YMcw*4QGMC(Glim&bFIqL#M=j0 zcCMG-1b9Uzfzbd|DueeTAu=-3LJNp>!Rz;HDQ4%zb;wvI3?KgtyW2oK=FnzeDQu__ zI;CKahroa%o*7XtaiwpA_PA@=f~@=1#VybS{Q#UNX& z+HWd_iZR`fWw2MU?v%F)>PM|N+E;Hdaf58Tz_46kIGEI>4-r|}Q|UEh3|GfZq9iD> znW{R`ark!WJObQdX`nMZR+*oHXhEEdwM5p~4(|nI2#lNbj$)j>C*G5+d3lR05Fj%< z4B8TdOe+W*3i;ukT54A$!Nd=J{H#tBuo+VNV>`+2?u7_Rgb3XbsYc?XyvS}sF%zkD zh>T=_Bh50QpJ=$}m3`Wj2P?Z)HMc%9X{lL9DW`^K5tB^_8~@a*8|`>6d3ZRAeEV(; z^QITo^bH<&2`Skgi%#z_8OHup(E%`S1)`2#A*m)WAC7*Lh0?=Z%_0su=hP0|z{&M1 zlO|%}<<~&9{)=^*mzeHjns^&5Vz%8EhZbhTTo_CI>q;mBQ4N9(*k^_3HeQF&W%O!1 z6)0Aow{rcaV%?D6Pqz?x33=}Bkw!V8E)c2FJIAoxu0GDKR(YBfXCz{+G2YSlq2yzP ziz_CdkUp2ZbJtXE;74Kv64|#uAgTx^T7SLYku4DhUc&_%Mf1R@23!nd@_WV|$jZL3n?yU1qQ?eV6K3^z8zI&bpI9zVWWIf+0b9?Kod}oxE~*a zXuTMu3>^Ie@C3uSN3I2=GE&@y&@4QX!!z2qn>?Je0Kf!$iN=DDzLg~-)GfS~2&jFc z$XkO6#o2jx1>h}I+dRcLsbhQ}{QQ6?9Z6+~DAtSq8@BP7Pn3u%bRCv`5LOX^b*UBzQhG*{p~T0R{VD(+69 zmWXYsjUos7!Jz}<$dAO*JnuY<4~lZ?N18d^Dy8eXak}Zk;_AS@T?p|l8y0k#kXQRmB$h>i9KKQ! z$GicwJtg9bveIV~2TKckJXtK)M z7^u~p`WAQ~Q=Q;Z&24N_e{PQe?}YAHW_r>=I2``2){zldQzJHBGy=xE77pjPoozCS z6a24EFnSKec`JsG46%-U?OR~GNzR<5)&5-C;zYZND+O&u#^kY0`c{0rbftpb)bsTO z7#zRlgDKK+`5k0EvT*c_h-8*?(h}JG&)2#(U#I-lO2XPa>p-mzKK(dQKHLa-Js)VA zIb#{?q;In^3GPX8Llsp68Sm@IQ93mo==XG#VL^G5@RrcvkOqp#V4PU=yZ;Y@db`z# z#E?P5pk<$YtfO3mDsTZ>V$rBA1QJa#HVhDG*vBZjs@Fi-^R<`rE0H*=7~%Yq$)2X)N9E&&@b{Id^Sp9*Fk zc^f1y_V`WTLvsvm@v)*So2KJ@8usv=!7BMnvFRvZK1>Q(GcLCnDPO%&oBqbkY6Zaw zBM$iS%a(n>mcLZfv=qBe0Ye{~HLnzpeX||vcHck|*fOI9%6*Bv=ux;U==H+&_qC;| zFJNmJm5n*2miQlUZEfjP{LMwW&}@s>n5L@@#>Et4_bJHbzG0q|lgL!YZ`=TuOzpRi zveRxIt(jI^_+PM!dy%~diRwci%PvUSa{8$+{g6u)@$xHm1Q_;#dUp)(fmvT*K^vwL zT3lQluit$aXo+E4N6u-K(;cZfjo+rH^*_10+pN0hsN_AY)knX9Loo9(&pVLLmZ~#J zY;bquZD*WiBNk_A2S(_(FK&_bjE{_w*@;NV699`5eD|$aBiP8Z^Q~9nB4-?}Y89mB z!B_&e4+18Ii9|+HTqdu!fqK-@@z37mc*#=1XO}kMn-(Y12&NaW)=RD|aW$TT6cU`s z?InBhbMM;w z5_kj_-7nN4BB1f!vCs<)(p9)4iN^wnhD+!$KMBz^&e>kghq3)cR~y{1X3$b7J5O>X8<~rU+C515RYrjW!F~tVBTg zY+an46&6Ap8s0qJtIS`OmzOsVgGUgTqm>`N^NDV?$SFi| zrLReZE1R6sPmO?>V!xmOyaADFiZPwflzn3Rhs0Pp10(V)pf&G8Fm2?0yoXc*VAxj+ z2ZB_2%X4#c_WHSEm7!uQ?}+7v`UD%bU)!ej{ng(+==_ z`oTH0kpov#$|?hC_>cAyHgcITz4D6&tFJmvBWyk72_3bGYicumkh0a9L*_R zr~X_7-jh6kxx@t55op7sYY+zjNfrt4KrhrP`wYr?ucbq979JcN$Xz!#1cHOxc4zh% zO2mMoXcxH=#D&15rbx$@$}$RL8TCYD{DG(*mwd}+#e(yM1upESLxqlj&f{243HPjB-N$-Q zl|?#=ExyN|+P^<`r{dfA$)X=T`3@XOKtQ8Wr0pb85+ao`T#*p+uf#C9JUhJKd<33F z3*2o09Ion3U(EnH8#Vz|jk+u;c(B)gLtGJG$i$c09d5*XY*L-?khgMvVSHsu&Po8C ze6Yf`}*o|97fFnwmVEh3apz%~? z^5XShXP`xMz`)%Iy|CNPZK41@yR%JWUd4lQ)H~|4t zkedai_&nOb#gI6p)#>3n4%kdTb^(_1rhDpvXcC8nyK<_lUK3{DLjDHb+5_(%P#Tj( zSZXPng)N4)`=gj9=P&i?Z$kN}<(+}-kQ+4BPt&{u05e<;&ZrxaG{Q1MH1xzFYRo5S zcX{AVp64$Af4FzE&_FdMJXBThgMcbDXuOj3yEgf+v1vUh_!vgZnrci-<5xD-ib`@0 zzHJ$?V&t_iS69Ow`i!$wGk+ugf?GuWrUyjuYR{ZE?RryOB z?3DrGV=A;umznE_e^b+7otzm;z$n8uf0RW(RjcXQhF`Y5IrMgKKHUG8P6kBB-{0$&QKsUD3f4ySByzT1N*7EucXnxSwQek2fpl{-$&`t++3s6;q z5acEYc%uB93)QU8FrVdM59 zsZl5n$*As3_xzuI)72JyTcg^~W~wG?q(D>CEC_AB2JeqJJZ~yq{e}Divmmj5#kR+%de-3BM(&(aQ-S3~yugf@pQ~{Ox>!A|=R>VV(jgxNN&WzK*MHf9ITtrR?n) zi(L6yv|HVbDEjH=_6@07TyZW$AjAs4;3cjm{fFiQ?Bez;Fh;x3M%YZ(#Y@w;`O{vm zN)N+c^!y##1?NTkH?{;Z&!<`B3h{H7+SCie3h0!%99(VQRJb0xW=7tPk1|mHP(5B@ zsdXIJm_!iY!)nU*@5lGVu{F+xo&b?TqjOs7zu9t7(mMkls#}==W$Fqwo7EPz3#^NQ zwPJv(?ST^v>!vO zT!pXEiB3E`$AVIf?N)thW*fdeu+o-~t8RzJrwgn4n2cTs1jXa`743$ar#+a+vby*) z%yqYVIC9d0p3)K1)O_H9BS&n}E{qs-LS-gIilo6gxFZO6-6L)DV}YISQCGTbIdH0E zXJ|sw0yI1X;sj0eT8UD2dTc|uMph4F9Fx= zFIVIT9U`o6*{*M?!XRwh~p{E?~nU7!?_v==2++WKGxPg3y|Ch zf^1H>4XUEAcjj6O-<6wk$P%NYmWa0r_4_-m-zht1t9n&CH1qva>%gO-3bz!`M;2b{ z;_yiv_QuDQgTb+hL$G9!P7}ZY#{oYMK!!W=br#Ac_r3Q80QT@f7I2#DP6Y1!JJ3nW z?XUY_|6~OU`Jw%J!PSun$XOMbQU_nn1qs>ab;z#2_ii^FKK0vQq4xzkB8t)) z0YH!T+(5(mU{6}<$H_e(2jUgbZ!|*qM8Ux3lP6DxVY=vVddKemN1lja+Q(i#6K+SY z6H~;Z+7NNxZ=3@aW>T}i->}qU3s)BH4(*-uWjb8M{N}n_GUJElPP6n#<+T z?7q$242#YOy_V-%1g!WYmTEVlkJo9*CN5{c4vJ)L@I?3^-Ztq74iuxX;sNL*5?vB- zBtDd;^x~y}#(50zxF6w8->>~JmH0gwOvy+C7db$A2i^t#-`EZLUc~}nl0Sv@x#|G92^bhhM@PBw^R945^v4PwA6WSP9hFbGdHRD%bDU1U zxFTo2vSin6!n4@kobZo0Tw44*#(vBiUEND zPb@k)SLc_t{tGz&5fYjE67Ebcn^yI#V2eHRiU=n3fW!}rAeqvIb@HlKWJ!u0vXRPb zG~2A$F7d;x-RSf4=U)H^#H*tnKi5R_AkUVZd%B4;l$Lg)!+sfd^zmkKxcCPJ_%Ok} z#(ca@x{~o&eYv|iEmC81k2hS@X_?os#_hERVmj)Va0Q;}0ke^}ktiCQYK!|!n~)rT zXZHQ4X?TBQbeB{YVg6e4Pv0PoqJ)s~mBV8^NouUinqygw{Ah8!yQQ=1QF!H*_?my)d!6}frpp3o#56M zA0++^G6lXQhZWfCAP<_QWvbrY7xp`(UhL4E=yTZoDe0B3Ti{-2$Y39ECgc9xpjqh) zE7bSl0O}_|I(NUpJI*sHlD|t4qw7Bq4BsE~BuZsYy@I^uuV4nPabFsZB0}8VSr_|s zw{LYSvY@K-yzg|Acp@jTsIDHlV)tsyLoQFo98s`8QNASOUX>Qjvih=^B6--5Qvwdx zu#RKdGh%x4iVXe3iHs;M5~P|iZxX%;9>LIU$n8$AuaXpr5AeV_yT7dYA*>FGWtjSS z!!KCziSG1cHb8lTH0_Es4WL4gD&sxd*L8PF^ng+5m6>=&h$8gIAB&3AxSQz1YsCKd z0&YT9T1_26m#RxTu|P3+m;7zKLF^#G@@ln=7W9Ox*=yhL20yQ`TSE4n^Msw?=4*^f z@V`UASc(1nfn^yJyfby3#r+W!Qb9*A3yG>)h+*BE7xBwvKucUVIE9o zSck9M3v20re_{O7@M*!eDA3W+polJ6$Fxcj2ac3#vMLZnKc%-*Wjz-}-(84%OSs)B z>KI^xdd?u*I-ZgJ&vTb@{A+~*0^}=iXfiNryqZba3Y)fK$WIcqh3LnkWUWPpZbOTO^))*BXEu3-?JnbYti1ED=5uPm+VwV zqPDeWHl_1>#Hzhyr=C-l-teQvWY;P^fi6W5*@44zj~7dXO#veli|M}PeQ57;3dZ9K zs-U8ikU*FH)U4=>ji>+fbKeGf2jCA?RCYo+SaO>Rs#rx_;~A12@WdrI8- zU%b6}IMi+YKRQApON%8c>S_d{W?}IVM zlARgb7-oz)_f*gG{hjl>&UKx0{y1Hp>bYjRKlkTe-s|iAdY`og^{<(i52@ceVeZ_+ zo$C@6lhZW`{Sd0ee6X#vWF7shLG;cKC%w@YvnVb9qr0w5{Y|BDm}HB(~%xS`<9s9#GN81vLgKvd3PQg7_UIARu4_gx^3}3Xt!hk((^Y zg)3j;tR)<#+4`WXa0VE5{$Se4xjPm?g1gq-@8U!@W`nyqJ4aVXl_=N!A;`L6b?7fC zL_3qbMh&VNabff?dC{Bfbr+j4mOugv+;9u| zKU1X8fjlYAJ@b?61`#Zp`$4m)P3u0KQ;F_e%l~sLOQE1ReJLVWKq&q6CxdIDf&b9I zEFAqL`Zg@+XutpFa{Hy%3RwQF+}d9L?Wb6gd9>hiK+3OIaWz00RnK>*FBVs-PgtP7 zOJ#fNDA#{U!aVk(9UyJex3#OdYEf?Z#B0x_HgZA zC1V%UgcpF*;cY%s>NLB$9$ni`esUN`v&ao^QAc~=*Ux^WU%?{NfI&MP<{1LK(zSAs zG}aRVopx!u10CL$H^r>%bfOrFP5q%&T#Kq|Uq1LcyNh-pPG3J1&?SLO_i*Fz&zgoB zRxLk?m2O8*71*IW*p^r>guW|2(edF#huKgERQ>jWAsG=IXu6+A@yDvl4SvyJe@|7at#Az3y2Mlv}Uc z$Tu!;yTd8nW;?Lve`-gLP>wE`A88BQesW7XxqmToT51lVFWauK99XmA63@>dT?m2! zm8WjFLDUC8V_1Sz8t8b1@VWK-c}g#2K{#ehsn=NHVE0wdJUP$`>*o`hYP+t;z8K-JvU{`X|H!6*8g9fD=+W4)po*#Ln2$Bo@*hA@FDh@MtB#4~d<9GYKz0g<818F*|9NSHa^oIF4mziN62P=p`Aj%yEE`q+*Ci2FOAS&QU z-2NZVh4iK2ZPoK0=omv<6bInE`vT{IZJGZBNzxX0VRL|S(jez7||cZJye4{LNY zp}Pi{q-*?Z37J2hCpfanFv02pN5_p*scR!3DD~V4jYhi;eYx^8(sTdMf+eWkF@4*v z&At*@=J7&vwrS_x=U<+2i1zpbT(bvY!+)P2m`QUuL7AwZe#B7yz|C z0pO=UwPAlm(GfPgpwQa&`Ek09Ru2PY{!(gpvij29{yBY9U;ifjLk79Z)s5y2a-gZU zH%~UGnghiAf2$ssWHt%QD3obAz~TG+sm#)sPy1ufJUOeL(tGL|IEm7ndE=D@ zxY~zK+9;;i9C*O*X3_XX9bh1w6XV%85%FN$IRAOq#@&k`eUt$*GoT^opy_e;2!9ZN z90B!~zy#G+`(tz{Jva%Z=Spa4$%ZP-cUOn~yT=h4nAvI{Hx57R zV)7Fj0TOuWLSsa3{a<_qPaFZK65Gjk zK|1}lg}XNSX{-E~qzeweK8(M`jQ`LJ66Lml zm9A&&*xxs>?3e6%qCM}USm9 zYNt5gG~=)2A}|ch&o5zfzNZ{GXeHj1I(*}OfKQh!x%c#U$}TVZA=0%e-L2 zj2#~rEQ-t^8L_R^a9Ie*`RA+-Q^NV)XY*Az>;jm+AE=Zm4&(;iBmNe) zj6Fi_{ITas>4|31e>bT)DsA12XQE@s7jw1bu>aI9QxR7$NX!GKz|he>z}w<{N&#M9 zd~_USHvvgn{6~3#f1@|FfCzvW3J>S6I9oV5dn3Sg2Z@}@KZ0Y?#^6u+>F)<6FaxDJ zJZ5#3v6!b@*lytOeFd%QlDz3C0eZzIG6VPjObML5;)1hv)mVF}dO*hp>RBC(qW=9z z-2VgHLb9~$T#E0+6vzfnM=0!BU_9Td{;Ewu|2yc5yVj#2@Rbqq_u3%)>812L<6&)0 zW3fB>sM8Zt34(H#@KH{%3Fz$pP>S6y}}e~+-zp@JlD&)!yop?i1Q-`RIE z&|(Rv$^oc00Uo-*jABjtW3*?HfS`AkzV&mY@9B}-1s24wJi39cs8Lx$2 zR3jY70ALw9n7sXOQDi_;3B+P)ImahYR)kAnAiLlXdf&P>=l?fGGU^T8>Bsi=FQlA? zO?(RiuO(Uo94rk52NZ=9kKn&w9RCC~CIIqTf&~Ks$hH3aV(wt2YUcr)^@G5`o1i4u z3LH^@VgwNpvCdA*|5m-kLhrR98pyX8xs5|7uRoatoiiSTIRSSYTeJJYKI{}Q72VfTWbKC9sp)yJHTu5Q9e-bYt7%cdl4=!d>}wmlLOq1Y;Ya`Ths)c zyqakC?%&sUR|cRfBpFvniZkX# znDZ0}KGx59gHAT-z^VX!K)--QqL(SMRk)H{`1-AXC!YxD%zq^;GLB!#;sh@+Hydx> zh?5dS?p>qxq6Ez*?UQ^C>;KQ6DXsolVCF2b14m6x!>F`?G=UE+ADk_g4q21zO&p$A_cTr_e(Ghfy5%i_tj@bBfd-Xmu^Neor%@=A_~=#I;rZjlbu|xiNY)) z_7K^*gr_jIWYA#N;*ZmLNIcN~-eswQSJk|LKF(3f%h${6$jjRxJ?6kQ8&a~bC=0a;vQUNj%We3+DhrY55(s01Ge@UtApEStzl=wECy2%qoDC`O)XT# zN<$}q`LE6_`CU0IywDaSU$5&W`60U9RNX~830SgFhD$D9T-U8FDc>G^U_hy zor5znGL=rE(3dE5SKAG)=nj5%&aKq~gwv|0p$Rpa;5n_cEHuP@hNn zf6@A5@}Egr zeh23cX=YwWqo@VK+v(s|$#Q&1R>0j_2Gi!4o#8FUQ8iG&TKcS~_j% z#)@sV`FMWWXWiJQzXn_aE$yyfVrE+OUH}@D0MZ?RtX`mRVnRb-pNG1rKoQ)Z3Eqnt zTJ8Z^SkU3u&aKt*;;uX&QMA9>_wDX-9{?p2ljl(b{tJuJ!Z_qX=9RzO&D#g8moOf) z$3Q9rD6v_<;swA-3oJa)?)fRoEHDaS3_OAK11Jzx0I~t1rhcPcSfb&H#nHZyyIzUk zBW>nfUZ-0ZovR1%lHd33+XIIYnT5yES~r2O3!=*Plx_6TsJC&|6N{cyd3(?pED~I8 zP0bh^TXYwvaQAL`(lX=r`gf-7)*`-5%SkWQ$A9im##>rk*GrLl4FnUcfzYN2NPRQ^ zFhCSBa6ic%z$A-s%M3orY;&!TEy}-V=tYHf@tGn1ok(FPjTh&j7bsJ8ZMy5}{TO)_ z5Y}EaLmdkb6ETvih=6@^I5zfY(@R-sx=k(=E@8cwl)#dd-FGbfL#a%t>E%}Y_LW1y z?mt*pTCA=ngfu_T*eu-L)&F64aQn_|?*!l5e>W-D7p>D9FJ|5ivP8B4yb|qz*RkvF z;z!%w?Bp5D*tHp=Pjr8ez)9W1Z8g;yMaF5-s0D;U7N)V zf2-V)=kpcmt#*34yR4++7$DJF2cigul6UUwTD(+a^iv7N4D^a1c zr)~3hNFU1@TBiQ|`xl0-v%U6dnSIcc9Vp)CiCZ zk4SKUIS0Wx^4S$swQt$3L78><)_S_URAYNI?-)IQr^vcG-)2&0FW%?gzo+7;q39_CVnoyb%F}}6O4IScfPmkKp`#zJ7+xFbC}R-zxy&hDVxYYh4PdMmckrdW(5u8^~1UJ!>2Z0{G%Vz(c}e{gQ$->d%ZK~g2xRzU-x zMgtULzS;5OnT0#dZxhS_1H~f%jyW|RsFMC!v;O)5sQw<$9sTB_p>u9BuJ@0iuoVQS z*wFZv03PFu&8n*l)W(C12rbX^`1;4?r6o&{iyv~?lwP6%(P(LLKu$ulD*tE^U~QiszW_{z?Fd&Wl;5f=bV_>VKV$HX|2k^CJRay|T8Uq2d%RP;pM%laD= zUF`3rqpTvZwg4Xl6f{%A=mJ1$+%6J2Wm&SC352E9c-@UC5Q0svW`fJc&Bvv$-L*= zMt&T-zaIQXU;_VksML5Iv{M{%T)+X~px&pOva%2f2;c`Vw`^tE-w>m|V>@|$e2Zv= zgv$dJS#5g+0Agvn4ZJ<37my5*mO=6#m~lXxUgUmN<}rKE3~)jwo6YN&O>?tbn1*F! zh_S=Y+1lelTEU4DHRTCV`7*P+IM0l0nSU0*Aen}q)9Z~9Q0Sg$2pmPY3V`-WN`!S9 zizaY&hfK-cH}MY~0|UWf0TQj=g%J)cC_s9*98MoFTM3+iY}CbXULG=n*VBbRa8leo zxdXHMp$Q=m_-jd=rZ6ps+w<;;x}>T@6?Xs-oKNH|@9rO``5OTML1^%x8(s@XfJx{E zI0o{E{};_l%+6n!DcC}N@mkcL2v{y!Qk6byE0LpYbxY!keKEyQcro(njUk~x{0qx7 zbTtRIwuA#nAZ6uz-JUt|DXnZogvI$NTZysK-vtNiD6?aJG_}J0ASP(V^3eK?7F-|h# zc=@vyGaQM(fbj`no{`*Y<)UQTs^SH7zYV@x#7fQe<~m~00v(dD2?<36W)@{{ zZavEg0{CT+irat=hp*3`*-4VI**13a&!y#~S@kq5gYYci5XuI(kOl<+yxs$V2QiqW zNqtG(5ujQTNS^cE?pq6e$s{v#X+I7Q4s0)3Pl;;2*J`dKU<|UJK!u;4FMqP)&Ry|de`aO-ux&1s-M5j;TPZkU)u``FSt$GSXD_?JZ#Iew5|bDooamW8aSB>qN=^?Q0Qs=F$tq$==Z@3Hh#V;$xeo62;5 z)LCIRjl3acoK}Dh3fVe;{8072zeD3u2R_zlxg7_sh zOG#k{$>tqPLj|MA;9!giv7jsEW;_VkPxO*6#{SGRn0VjL!}^SlDYS*}W!W(Seu3GR znarX2a~6WWA`&em(~hpSiBq0x_DFSLi_uKs`9c0ifS~kQGsqb6>$Aq(Dn3Lr`yRvG zI6%g70+<|b{>edy#x-h6{+Lpo4xnL~?FHE0sjWyLN@*ceT9%mxbp?mgC17nYUg`z? z=4;ujS?7j@Xz<+Kta+>*J)+}#FhxOM`x2iQ@w1G#&+A8a-)~^zGU^2H$UXeU(RO#I zrR?pJQ&NT~&V>7_@an8%;G;pQP~>6pSb)~#er}*O)9r4DzF%v3>7}8&W`gM~({%p$ zo9-v~e5-gs6tlH&4mA3d)^Aa7D>v>gI zpk}~zf-iD!qoX<;BoLKi9A6P#Z5#e6p43(mCS+vT>O5}xekrWUa?+p z;YcX0L(zZJ`CzDqsVi5zQq*n8s9n$UW$Eqy(~zaf75RRJBQMyGOhyQ}O>%37l&jfZ z8I$0TLE}ECn)=(N+%Yw%kIZnnut+)Z;-7*@>z4t8U7E18`8?|WwicDJ`gWg;R)!JV ztXAiQNm%U4VsP*P>nhRiE2%@XjlffGMSAru0Sc4M_Qem#?~5Kj7!=^zUjHQ7IIo{| z8M%^tcE77Jedb+7@IR|*C&nBO<7UJcC!QO+OVihD5-(;QEyl7#AR&jnoajk+)Go%h zTVIn$pyTy#cKi$hw!BOn(PgDK7$sK2{gPozVc$cEIwO|cAaF0Mwvn>0N+pobQBa5o z65f@A5TTH=(B*Q+)yJ2B+)tachQ-d@f+d|8u#5S=MVsdp@oWyPz{9JGxwRb`7HQCW zF_<5+^7O~|fHK1e+j~;qP2oy=EiVaY_w)3)N~XuxT2p7F!s3AH^Ph_l2*k|?nu(I? za7mc&Nn0)`X{=pCb=j5&fc#aD;Sdiux6UQbipol6$&%|}~1yUMb%KF@5Tg?|~H*@t_T>G*xOLhO9>78xJCRhM!OMy8ZSwg$8{!jW5j zw zHY}kVCW_Ry;60U9Jf4V|H{YK%mmLP7jOE3FoXEBrQ$ZhNBcuKjIH4dtI#27;0-z!p z8yT_B%McS0xy&Eq%Z77uaxyYBd??3{H)1w7HjW((IK5>engcv>CwKQU*D#oY*^?0c zyuPbjGs_vg!$rOO*j-plUCgmW!RX<`x;!Ym3YxOAH+aN88#1Y1%1Xa3Gu7%_#m@n61V@Q9gxtfg*kRUCWyJXOwrx-gKi z6bC*Nvw1>N|J8bML07P~wvjwj=F_O4ha+2o)9@Djb$IF_@z}zMz2eIlmADYVrK4L){N~quqL0LDOg72;YnO^bp8G&#T=Zv2?KDU~}N} z4gg5vNy?BpWk|6nF*Ow@D?tJXy||9qgDks<6rPil>Xs+K;n&?-^|dwVp)|9uHC+50 z`323g6$Ec}aV9gkCFbo_wxhw8#sC#mDnE@(g5hsBHaI$qd-)d%+Kr%a555 zthREitWEz~#yh;)i(|)AZnroVRoCUO^_vRk- zkhcaj3BXI(4(fVv(R03F0i0>XXtRaxO)Nkn;`i;b8Ua4BzR$=iww07v4rbg5jY``~ z!B_6ILc&n6~juhj7ret%;itVSCLlp!;XCW1uI>a50ylyczv3C4}|6 zmaFGuSh)(bHg~G23BErIO93*KYocf=@X7-MSVF&7Jez$f%nK3{5@Q%l!y2kV4NSc+ z&EmuureL8?An7TE{ODQT`KTC1!aCDAJ^L6LqCg{0X8X%@Nxr#}?Y;C-7&Lf<6~B8f zuYVpO4rLrt2E5^eg^ilg_tqb7x?fVQV}L;PJHTo6q@#R!=2c=ifj=g8U6HlzD(mcF zUCNZEAgLuyV@t)(aBx{VD>bhBac>R>|F@5mF8UaSfZ*F!nI^~BTf|wF1#R-&tfPHh z^`^SWIZ=V}pZjtt)u#__S$$^ABklw1>s-@8WPNEry~ zc@RP9Ba6e<+-?g%Une4nRslO^52lX94yH?|_2l&B@_xZ0QM{iEq{?3f?f=l)*AhCF z9CNtMR-bgQ>l77k@(w;;*&|w+YQq-s3cVs<>LN>g4BMD7{HH!ACYLNY>qH$=GU1?uOtu z)sCMlUc)Ux6~rxF4j-AMgEX;C)`;RppXh-@tScHn&?XQZghPRp0e)*SCk=R%#z@jo zNq2CFbOKMEThmGQ7)R1fj38;MEn|Oc{y1fAKEqR(ds#k>hn2LohRKEcjj*nQ^;!&# z5XYpw)EfF$Q&ZQ2(4RQm7QP*m6)>}f;*C*@&Fug6Li2d>8dSzI+`pL04r#*7fP6qr zh^U&UrzfdJVE+@Ag7ck+7lGQB2LQZ6-FBt=(5d*812y{<&DzpymYy#Fm+MR0HyIS5 znhd6WM86aonxF>V{tB0ZfzvWs0ScRN4c)p-!>H^4d4e#viB%0GKk+k6bnlGbQ zhCE;KoIK+qTGz41q4yY}4BF~(5#~`BhL#(s4$Kij0c*uHskOf!ngC?mP^hm}E(|IEJqPr9F6@#3O`nr*9me20UR(|sgm)m8Trr}c^O{>6$$5PEXjzg*w) zitUK6W|7N6yz~XiPVHxbV4?k9`*Ttg*kG}2qQGrJuTdk_ z>;cDwR9!byLIpcdVc%6R9qs$}h?aVJ_Wg?GCUnMGhjBjg#Ib3s{%@Dg@<)Elvon=y#R6L~N(s z(|aN2SfaH`-cxMK0T*p+5|hhce_SfQ80{t3dBf5q(qo8qg-LMr{^q{LLm{GTWAuxH zWBB4m&DW|k!y|r5z-XJF2M^y3aY2ud>&T`Iqs)Ubo@v(C^0KlnD%7E3pQrN)4p3hc)|o}asb=n@<0&*48&#N@3+r-0Fw!rhWE}N3)uMe@}i(% z33*Mf3#@zfB|>dFBG87iRW8#_$w|9UTJ+xBPsV)V%juju{faRujws5tQ`R>*w0E_- zT=d#Ea!|khAlHPkQjn*qlfUe*u&gRHT*p(l zJk`QN2Rc49f6^q{{S!ch-^Mps9o!`rDpG-7Z15Dzu$OdWRA9r^-fii1Hu_|XdN_-RG>Jr^j(R-sH#49U$FXBR;?Bwj+`Jb*) zZ(Z3o`u!>@g%r5ClvN;*_^!?Vl$u(?LQv zEusH>!kz^e2$Cc;6h2WevK)`FX&4n*o|m56=t6&iR}If<)^OK%v9D{`Be6zrk-=ga zI}Dgbcljm4+=<>CgQUIyqO~Y z0aHyO$JOV+sYBEi>G}zFB8wK{5m`@_>(56;9W*{bZb*EA>w4}TJZ3VH9Bm&U^dO|U z(ovE%<$ZE`gM5=feBt`WFw~B+eVjS(+_#w9D_J$&#S?ASRdSH=L*N{MDn7`#b5wY` zYjAF^Q7oL=HrzD1sYc8>5YWRl)@7shXa?T62a$iS43`fQ%Z|Xe2H+kQUElI4$uOVz zK=A1~McubW6e5ae(U>pyX2YYSon&Q;7wZ&Kw}Rx;G?Stuq$E!J2yI}5HeW}z*{qX` z)MhQ;4I-mt;&$J8nLIhXcEJ#XPbQvZ%QKO34UBkaokPZ5#?CwG&124{Dsn(>uyN6D zg53)~Hs#EnZS5_Am`HX=Ep z0lu=I4Bm_FHQjNNWaZi}uyu1SXhLENZY;BqLj`%j8h$(^L)%OA5GnAHMXM#&FkcGdT`cw@Xkd?&1%YvG)8+|CQmS34gG=bU4BpB;dt0Ev8P!S@Al!LEW^?z)|n zPRT(?HB1yO6VOT9F(ggmP4OjH<`w*dWV(IK;-~L-58<0^^7T%RbtQA{V1jf5cO!j> z?PDT3m38{VW{vrndYPY?Ph9?Lk$3k*(i;MErR|FBhF$#B8(bJkRp6M{NG*U_ZX9`P z_D-qU)=hw!%(;AQ+L%8gahAVn6{w`!ib!Q(?UzQcnpC_pF7u$U=KqrzzpVSWyWp!bO@ zQ_kDp{Co`XhX}K{bhrWBX_%ZVMQ3(pT0%Lodo$ zUUa>odvI*Ya(qMWgaHxzYguSJ(b??X0k}iJwO)y)0T}<<2e5fl54)Jx0*kd=MM15W zYjJ^2_lLRATWJ>sl_E8tbEZkUJ~}=%2Xo>@3zQkTC~Cdx(Lc5a3=^N0NW@8(T-0aLr$-oTM>jT;11g zC%D({AIB*IYc#LAp__$x+_pOHgxxi{@l!)dH|vS)8%0F#IWtigI;2r8TBW5in%t*_ zaPAD}7{C6XZe6RQ-REdNJ$pnxPUA(%<=~MUmE?M?n7XDUec=5U;I&^rWpWAks44z> zOE-*?zd@e+;-)1YPu8_dZrESgS$R4!AA9lpGYvOay>kkMaw0gWCfc4*Ih#0G>uwKWhNrBV3Oy$Mt-p=XLihA3od}%JDdyz#3D)iA;m58_{$yLmJ%jf$(ryyG z;WFPFc^AkLfyC`shltG~yc6g2Uc`h4&B4g-BRQ%+8nL?x?nFi3|Mup{yw!@fv&1Yv% z9`X+iEV@3fAMr-&mRZST1t|aEw}hGrv*;K`F4lfV0cn(XMBvX;qC9Lh%8iEUF(XeK zJFMod6%+1HO>Ki%>R*$kIw&qbeb2&lmr}dU&NqfB5f0Y!{SZiwN>{4q9iwR2z#aej zl*f#`c$d<7gKgXr+)~>YC5~9G@j9kJPgs`h9xCdsK@+GOoVleQjh@1=Y|fljf6aJv zI1Jp?@h3jjV#XE?Ce8;*#W6+2yR(iGljh%~VQHEoT)V12=JO|vV^+z-B-I~<(`f11 z#g}s$(R#rCOwImiIlrhTi^S3Vu@PIJR zUpstyE_ax$`nFDrNh_GkcLF26Jk7jHcp-_tn*WyiKzVrhJ$8~|b zkvU`gSm8$D(ps+6HvxVX?k&r)*(inWfikc>hpeyTH>x1ypFO>u2^yJmMl zk|@)5Xu?dhy3HA=az}4(wly2yN&H5&WeOxW6)$HT;ijeGyQhjef_F+iwD3h!@=5BI zNj&E}>3?tEw^i+uld?BlE(IItPc@m$6|I@wcycLNOMkz#I5W1HI{NZ%knIq#S!Uqs z(TOpFZAnCx44q$e34CnjC*cwm$sH7W)J#j#@f8kJy5Ny@Le=A5)UnAFa(As(&uZqm zTg4VJ#yLPzR^{*52>*&NC_3Bt#Jj_F!brf}`hvM*^iMq3^trQ_Pe}?yta{(N{ABew zd%NKVX2$k^?Aq$&e5uR}71AwrymPDGts9e6IY#>aUj~Y?J|PHPTic$m)<%1itPQ{znBXDr9-IaE%qs zS}2qCd;>Q1Q10tbsIQ}L!!!(}g*Wu1CTax`xR@9ah7D;Rnc82=4Ng#~_!>ms*52J) zgr3@P7|j0`6LU~Xmali@1@A8vl~BHu;w{vK${5(Srg2-*#2<$di53-1JGh~}$c7@@ z;*!D6`5Kh@-Di$$gq-Iv;!C=(`@R2j8QhNMOSP~rM|g7;_BMie;~FE1QvNz@bNBPh zhn}{ipW>b}P;PsFIq@abw*>R!nZR>kEzx#f7-3mu5}`v%bRxnjNzs~)AlGF15Xm(G z+!_{wsd6Ll)++g28AR~9`*NkuR>~1<;iP^c!Dj>^xFmr>;642<6rO~6lew99IX%K) zn{!S$J0_~=@&Uvae(b-ya6tcOqf3yJn{-Q1V5x!}Z_wA9#*)*ZsPkbtp8}4-&o`ID zUUF{c{*{o!7Un(sVBa!hlcI}e`yQIM3EJjLBZj)1yW!qW$fWkTSG<$Un`)Woo<_e> zaADm0&`x<#;|$uPrAo*i>-}*kE@=ETn4NOaDA%@d@o~s(zIYQrVW_maO{Gq$?Z(N}+2lt_8sXKeeS8DE@v%L^( zeg0El!s&5(dF6({MYzVLZ`ELez{HxcXIqa;@|VFx*7aj;Qv4+f$U{b(yFB8EaAyx4 z5_12#pSzeJ9oXP{0yABR3IjbI(1#=#;H9WAIa%~ z=fb6kh+Xl5XRcyaM{6+&GaP`69j7}DDK>EO-uD73F!Q)Xg+NNe%nV0No!IJXRJe}N zNuju9(gg(rY9P{_@0C>Oo_%MIc!8w?x09(X+7ix~H%MQ7CjE_h>{;YR!SI4#XkhsY z-T{eV_lUi2t>7oRq!@Inr?w=OQaA)+!NV27e&VRb$mf*ewF!|)t zmgjCzJhIZkPta6Q9L)F%SgJwOA^fp9Q$dDK$HtoAE7Q{P+nbqmjG?bFOvQ)6yj*yZ z*qpuu-bg0hB3_Nh2>QK;eXKiecgmjy>pUsGDeJKC+4{%T&)Th8dD}h0F`j-u*KlAOeJV9$%ND`3nD53R=zdPM~St#P%sq zSc`0$QAO3_N2_h;^iP_7_Mdov6|M1Ce%({8s1fD%#u)KShf-DF-&44H>3}Rm5qxLh zIGsAj$g0^j;roIYTDX3#if)H{VhzooEG&E*N9bG+rMUO?x|bEFN$qg%K+`y10nE3g zZ8RBykC7!7Ig2AJyT{YqI3{Jm3BU6d{8*@~r&0;v=G2TYnEe#1E!a(o+l#eS&(dxg zMHu84=;RkTc6~E1;?3tD^78W%Hzhguy+BIrsMP6i7(YWgVN}sC4_sVpaaLAjg0QyY zi4IS`6+UyaU7H_rwAE6mQVulsZnUAODYsoHk2KFqYTo~Bz3^EFl`NqbY19I9$`x>6 z-m$F~@JwMiGfuz8m)2A0p^{0bu4&roq*uVk)nO|&!Me(p@;)ghC5vpUyYs5G_TKE> z&9d@h!$oPkdDoAD{ZMJ7xyFl_yI}3uF7Yv6;*-Lw{4>W4A^%d8oJLe7$L;4<247h+ z5?B{LW}&2DA`cdG@*ZO-w6%>sGKRyfD8BQtYXo7&Qdw}Ak_mpl;{^N3x+6FYZD^s4 ziki6k{uGEJNgdm~S-u@}8y0z|OPp{Hh{|FD?gE`alll=LgjjZaC;yWZAJO|mapJgEz+q(D19lKao?s%@$!>HBPUeC!^%j++> z)`WE{y?&y2TN*_8)@9COnKzD>8wr$uzXeqCS@yzw>WKL?WLyq+f6eqZ3U1us zl564;z7rc;tD7!ex6E^YnBpNZ8Q(rf@)%{=pA8>qz*5GwYtFW;td`u%N(Voohm)GI zUGq*pWP~QWZYf`fZ5d|0eg2Zv zc~cWaFha2jb#(mP(O}e70cIjQi88G66&`-Tn7{oU&Fo?!z2AOdZ zBf1Js_FXY{*gjOC!={@rb()_5E#~0=erSRI3^-4d7I0+GVk5NhF1YZP6*{wBlM@TI z#qtY09kw=DW>VBEW)hGZY{|_S)>ZgCd=Q2WIOSPo7?VPV-f7Xs#1gUB z|3)x^sn0&)I3$&OdX?Pgxu@V0f25ZVQa!r|PcvMPzBdrt;ydcaM9Db*D-ir%7l~(~ zw0?2g%UWJ9H6=RJAwQOaB)P#z{kE4=6Y(Z`rPNiQfa&45mJN#jH^>-eI#HK7YF#uq zT#$p)?4yGG2%+ZpFc^W z9CmZTxI=XWTUK1NWlXMc-4s5R(ar%`h@y>G{2uG7U!1kGvuobNpJV<-h&&s4b5Gg? zZPbFSiK#?-U;CuvlIv)y{xdZJzxHdd%^ujEs=4wj#=7KE%_+BXERo8R}P3u>rUELlg0FZ3qQ zL;Eixv8?-;uXTZ@H-0@jZ=HImRFkthe(H@AvQ+c!8<{FBUT}}TNtd>DkZNEwFR zzJGpoXz!ijY{@XI;Kz93t~E0u>5rmRpApxC)NoIvl`*)qLvYIW`W{aQ`?kg#Uqc9@Y;yTJUrJoS&3Z&(`S+#xf-Z`1TveNH zUA$sTt+nvMq@9xG$w+H+x~AST zQL1%_b?T8rHDBvb|5`oHi1W7a9YLhctPBL5p8poId|PqE+vCiU$!`!h-a`uj1Xmpw z)M)EX`cf0fFfv5`aKzk!ZEF?rA(mnI=Tpa`-H(o4T9u9msrS0HGW&vD$!{8SbPeXsnwM8w=SJ2V4@Rbc9Z%23QcUsS$8;DO}ZJLHjF4AG}43^ z$RBjDhs5PrBE}q1#OC%XPu%CEarpdUx{UCRxD>~J|hS* zs$%MlW$B8go7=zTWZWxDceFy2lL2-beZtX={QJN_K7w8+tQ8UwM=B2P3@E`WZF7y{ zJw2NIS7Z~l3OM$YOf`?G>R(4GN<-6Ws zKV)A%E}j=UI8QT2AdpFixg!TIA8Tw}(=RzW-1}@>3%grA7hvKLXi}u6i#ihKSVXve zt7u{zYlerLw|GOFt|oaNG0}H@=JPb9b{kTyz%{6_Coq75`K7A-9x>z*Lm~50v195} zvvEO|m6}72dJ83n4GfMT)LQI>X=^Z_uj)oQ%D4l+wSltJX{Ccc@;qF+TfmS1_m)9i z4wZboRLUD((2u<^h?a*O@PY{(`t#9M&a@I4UjFW$U<_^Y;Meb60I;0{f4%_W_$>** zd(km?{r-Yn2<p9cw<^ajS!L!k1eTMw)C zcXqz^@$r$Amd@GT_1A2;NSoxO?LVJ5KK%z?)Vh}FH4Na3i=gJTZ)quC(Cj$vTW+4a ztSwiI$!F?a{^B$3Q137My^zgfyv7(*oxT zcL1-Fd>W^~k#1uytlV6}|d~0x;Z8Fm>7|O>VPkToT99@KYnm zL<`k_KBWmIJ`jrixi#)$&LR?b&ve;|eHs)wlBOaAB%x5zv>xB|5*R-fyi1-rm4qV2 zPeOZv!KTuZaa?UOAwnNd^M`WoFv?X9Yxm^oX4G{V}N7AUQ*$0@sm>8$VVdKMKG zT~6)-5Au0J1-%fvPkk1fkz$%6k_pXB0wz141@_2DLixvpgzCA>X6OHHP!}t+ypQNT z6bwS+r~{Czts#ALZ%kuNO6Wmtu&MBDOXHt2xed>A>&B5UZ``IKv;~1Q1hT5P-c%`VX%vsi1%*$N;$4 zx}OOE&D53tJxOK^TXd~6?pXtiPlw{+<`~D^VP6REXdIx2xJ#8Mrq2bbm2z zUk%jlSL2kMMeh7xmbjv<`R`r&{h;dQT$*X||4g79smIYbVE}gff4|SWPS9(953eWd z0^G~QMCzB(!s+$u4`AJ@t4B6vS}MfHE{utYh&b5T+ zdFcb#Tf#p_U$@9ivC!HLnozwMdm1?dD!z-6zGK|o0RDzHFfm!#QE<1iY5^abrYYYH zMFSKv7&6NGnuF>!06!(+f^}EtMXO{E$QGLj#VzeJamBQ0Qkdv`+rT%=YHP>5lTW9D z*|t?#jGb6Lwo03Lh{ny9Pqks5EmzUX0G3^wS`}8lupOK(lA>|))vH&(A7qi>Yz>D` zsOAiOA08f7q@(1I^_V{KWbiV{OG!Dc{I0CLe88JLJ#C4lTDu{@3;PzmL9ak&T{Qo! z^QgRZ0HfC!@4^40xhsuo>gw9qLEi$_TCE_6Bcjy`G*qStQEI6HODztFCZxy^6%s@s z5W?UDRz(~TQe=o$5fKD5K*&H)u^@&JBtjq|fFgt;mq>vigy6R?_FG-=&u^`7t@r)o z%8KFMbN1Qi+0Q~GLbq~}Rhc_IFm-no$wvapJS%&T zJK?Jor?+Eky8Q$(FCv5~7cb5SQ;>D2#o{AJj^Lp@zp;Y$&onAOcP@T;BXKKq!e=s8 zR*tA`mfMhop}x4C=C_D$m^#A=o>deU7S=zJOCXWL3VyXp!&5>-VS#=`EC0EzwiKh9 z1Acz{pg6C&`6|o|ToM&3M3MfP$DXD+9ga}>32+5})ZebRaJ;b7>K2#F9db49z`*uP za=RH~B8Hm2JsUPRT{isn3;5|(OQ>#!@_o0P-Fu{SI+mf{7_-H-sl5~;jtFPkvERtZ z$Rl5RoyF3$*`otK6cSRHcb;yBjyGDYZmED0{%fM%1H31wEx26N3Qpgz-{<2~UR8A; z5MX?KJoU3ThslnY3XkHV%f$^FtJ z7k6wKdXM*w480eE3@`od$U(jt@I6`1fnWYLC{vycnMm zdKrKH*hEoLQ9mdvEZ8r2^QEdTID!wxDfS2uY6r@;Ld!h zhgBL#M2@$(QHEr+Uu(lwCqa|3&nkiwZp9}bXDph%TdCPdPq<`kG zUQcok>XdDxfsy>|>z0UGz2oYvYT<*=KP`}*gywNCdg?Ca)cx&^SVf<4_xU{UuLJ0G z?vOnmMWU}(EEI$SGy*WWaPp-`0?6e2Ams-@g&8GV1~3?W6x!#0i^GLkrqvfKzC5>G zrroM|;tMEcJ~}$;!cmRV*Q9$aos1I(xgf^M(6F!tV|)Rikcnd1919;H3;^eU^mu9j z-z2!L9Y4Y1xv#!r3;UAa3Dde5v!!!H@BvW4b>`!1Yir$Q2pI6mOb&;2IGe?CK!H}( zRAGA;cxC_yUDlil3kx$ZfR+^J+~rGo@Y36fscH%B1A0U0du@vh370`x?fs&n^$^R0 zgWch-*R!&QV%xvzAhOx)e44`3@=Gs=UpOCjy3;;8rf2|4Eu*aDr8@wN zVbUo8#aGjeeV}pzxEejWSnFE0Df!|#G^04dd~@81LZxniNrs1y@D{*#9jhRdc$5dTl|Fxd zel}b|jj_0);V_*(X_i`qehYvOwg&Y54vQ^>Fu4(z3Wx!421UQXWbodA)4 z!ekb&GqDzdAExiH9D`o`8IRZ?wn61eVPQW56uz9E767P~mzCXyFLxt#=?@jk=H}+8 z6@~^K8&bB-Gay`tfdO)DU;W~NxL808dWYogT7NhwC~s{jcw}x}g70!%!Z&yn`R=+G z1F?j4tWR49uoazp@G3;361C}B{|Wc~`}d>#=~Ix|9Uu@Q<*N<451|jo8L=VYEgutkOmr-bL^W-$f-Wp*_ol9tjXM zru_?ImJ75NXkW2t9RGA|xQ!lHua4$1(j0@W!StOj7*0L07rLThj z^3Z^5P#4YKArP|^pgKy~mp7tvXhEvZF0CQ+t+Gcf1K%kx z?==p2rW*Bh=4O55725&Mft^AsD7{0A zjz)nL>g@Bp3yRZpuqT`seX+#wQv^WN3@p*9hxWels;WknLzs5>U}y9_3i;Tjzt{^D}ro6$)lr;Og- zpf!;AEE549$^yPKuGx|29gkxIj{qWARTY0zlLeeKW(zemG&C|^LLHjtZ(;HvT^FR_Kyd%zA8#)2+0(w@;azoGezLH=OZ;e=kCol@SHR*d2K3 zWQ3fRZmD7ufdxBi_iPA)PA+Qzn&H1KC|LL~5+hKBbE+kOGu;Q^orfe9uR8O)x*Gp? zzFFvgAy>dE#c`{j9W2?EXod~c8nppqBHQwwouJM;=XcWf$_`WbB0x|7c*<52a<(3l8Nb*(MiFof+5xG3P>mHj2Db%E_hu=YeCLD2Jn|iUd}W~2O=f1 zGMu8fx3^dWVtOQ0({kr$-A?10>8w&xzKL$4HR0joR!x|ysG8~T8e&jMLEYDpy=Oxn z09vjC9=HpUvo;N{;>ypushUpG$TLI zSK4P)HGSJrBM1W+G$F;^gpz;Mwi5bS{}oJTL(;O4>Y<>zo^Y58V1rh#S0hMNWSFo) zBG|Rwktk#gXxo824_vSj_D>~fXY|%s6}3(&FVinAx_=*-V!=?zmiVbXSEptgw3^$p zkR9TB105n2`zC(yECp)m@1c_&F-*&xf$pAB%G|%Hvci_lQv_79aEYDKIL4M~7+-kb zgyYbIvFpozMp?k>dgE}}q;P0x2x3`0jst%U;!#rl?_JQ8%iCMi&Es<0H(UDkk*S=z zq@<)=<~7F5H2p`ua#nTOPk;D$2J84!HLIQ`*92eod^K(!0PW`?`7HtH2Tr$}B%-x; ziAq_U4La=6Sd#=g+H~0aGMi>vdc(}2goSE+?cB^~5S73@e)4fXvb9yCVqY3vy>YTe zpz$Haw>%VPLAZ%?O&rEQnR^8?ft^-4i{>G~;R}n?KKIj-bG`Cmze7v9JTzPY-sf$| z*=dD!Wr5!GDCF`Yk%&l=x}5aK<;M@}D@cKt%L_-yPLIEB&;nAklDU)Jv@d_0M+2bTSz-mi}bL`5z!K!>u(7)AE_s} zhGZA&gpfR0WjyNp@uS&?sD!(r_6qjF5Y(*(Cri`cCiD=__PS=kdi?eL)Khxb1jhA( z|0ZkeqmWI5XKtF~lH(O!WhvVm-v_4+ut#AfK^r~=XC>F_10lo~Ku`o^OMM$ga+7?X zJ$y9QDvkS+`$e&W4%ie2*p$`ur-gy-VqL5Vao~G&QWUMN8Fn)j3Z&?yLjPytWtH52 z3?u9&`2>ZvO;Ad1ldi$a+U-4{fMIN4ilTN>TM?B&jXLzHFb zVjjAg045>*LUq;h&F`%ql=QmxcZqFbL*md4iP8f*Q6L7+-jG;!_4a5*28>=P>>TAn z2Nc)Q2W`Z2q^j5!@Z)K|%PM7%>DYe3TOrM69yX4iWbsH{{~E}FF8QHox?w`AoocMe z^~fuO9QZiqF|`K}MP)jsO~+DUKag+K#S*=+!&6-Uh8LACTz`7GCuoj?xx(TJ;%vr+iwYi=-pfGz z*}K+fJJWb9NNE6F#NwZTS%MM9b8NaF;zp$(`EN)+T3{L$8oC2RUZcr#Nm(FeyjeZY z2;)0^zxvAIrL<$${S$1+`l31A_UJQU>jo6%L^R+>o&$r>oe<`94B0vh*lE@h8gr26)>OFZnJzu2!pq zgRJb>NkQSe23@=>mr$HX1VHx~w1{iP8@mtgM^}$bcW2G@T->j zC)$uF{~2AOPf2XT$xgZ4dACVBdp{Th!YssJtW_5{A`r{n8`6*8%RHXtqj{-X{%sscjl zqFsviI+q z#KpK|e^Xif7jTek1Dp=@^@HPG=Rr#fOeK%d*^mJk3rhh9RiMh>$P@u?4x!{>N(lZs z3_9dXzu-ihSvm_(Yi7u2E42-s747Z5uo24%*3{V81CTU94%rw~C%^Q|;Bw*Ic#;GE z{LBZ2k$)k!TGgfr^1&@ScLtQ@*jgedu~sYLR8=WCM+G3XhBrmo&BvSek#Weldg&Xx z%#?^zb@3fl!Aw}LBur)sn&PS7j}7crovE3c;=zfS^kd5_JI1Dq;G=iJH8AIrB};e} zCj3nhX1>nx;(XEv)ENyQkq#_aHmkHN{-%v&vW5iR)@NKP`4%BMRg7E{)HVy4C^>XP z0~9dgkWz6V<^Y({l~tX*=HsS|Sa4jyNjT0tVf3QJNJpuBxfqVhgVvz_yuBLV4RJB= zA`VDq*+_nYLVx$x7CAAY*->VE(+ CUrAN~ diff --git a/paper/timing2.png b/paper/timing2.png index 8124dffff641d719efabbc5e20c57d30dbcbcd16..8369b001764ddae5ea939902d6a1059e59903dce 100644 GIT binary patch literal 82087 zcmd?RXH-;Mw=G%-0+NxEoJ55Zkt~vt925jWk|0TP&N)cVh=>SCDwH5uBuh?8MkEUe zNKPUmNRT@U_x{eg?Y{F~dq3Wye}n%ByU1$0sN0*lxEnc{B9x6>9Bk}eY%GnL-AtXFE$!|2IC;1^ z1v!{4TwENSg}JzF|8oVWy^}dt^8?pDxXU>Q1s!Jug477}2P;n^*Ajt+Kq$&cYIwX{ zpYn83U#bx}x}DCZGb!Nwg2TvM<(7aVAOAV+z*m;6Pwsf9#Ga!}R+$_!p7&exopEh& z_r+U(Czi{0nK?mVV+H^GBa0LP1=gMLq9;Pl3Iaxq9Jhbi+@6?W5^>^T{GMrayVlRT zY(in;K~<6bkA{kjV?6>jq%0Zv=}Ya->$X}1%iouAkc!Od>oTFuKt%ZI>rnu)@ZU@0 ziAp8e{$BVLOJMo$l`_0dxM_c{RKOj}r1*R3M+BYAKlh|D{Lf9X|9^f{%QDUYP7Z3K zx&7^VRrW+x6tavn>~!u>n-S>nzCM+n)SIMNul^8p@5L1(p_lNZC#2*Eccu9|)#sKz z#9w+L;qO=2jcCFZ<3uGYAwD&I?C+0ryz%#n?f#`5qvpV~(#Ox~OC{s5vn)4$|Ni~& zthXqrB$0QUpvC@K`KKoTAFmANdC}LXiCVVyE>RP8)FLq<5s7{E>Q#l?x22T``ZvgB zY3Y7mp567D-T6H*G}OBI5;GmFSFT(+D2;*5kj%L#Vy{37S@K+!G%0y` zJSQh7Zj%n8N2aD1;YxxKmXQU_GsQ>4EE;l$H#CU5xVp~5EH7_tw6BksdvYiuv1|q? z^x$`eg@w7z`{42nbYHCpI?3f#?q>DyGM-w3_DLZO8(7~;QisxUTBENfx z!gAU4VRnSY1OWj-rUv`$wg+>habfpGB|*6Hi#5scqc*pS6>K)c+iHVZggSWC&o94HJ zT~9uC&2JMOPFeBOF7JA27mXOj<(HJi86}ocL^&=w2xgA1g-u(tCS0BCr@2lNhJE(z zSqRqFKWT@_=s^orRaI`6)Q^t>yB8u|SB9Lj9Fh5s9sSBI==~NLJ?Do7C*m7~jB$9b zuCB|=%K<|x!9y!D`uYqu0(8-G^8?KW%F4=Pq&Ui~>QeN1-4Vl9vW|{CU0q!RU%rU` zOiAfATc2rU@~Zb+?tcF3*DviPI*KxCcdH888#ivK77W8`IMhw4d2cEVSyf=}kBS_y zsz3z1dGp37uMtFUFJ^7pHr;mHhD6qnOWIPSbDcY0 z_*As=@wDdK;(ig~Pi1ur37J_ud1+%10kyTYiW%(%1qIUZ!g=%brX<;1&TmUAt25l& zeD8$QI0J`O`P+u}>2EKmxZXN=y7J|Om4!tKM-;|(DLAKvAP}>nS2u!)^?d~WcaO`0 z8%i%?cGm~Y=r0BLy;aWrII^}o%O1v(`Tjk90RN;BI_~aB#aRXMKK+Q7N%~~uYAl$F z*6Jaeo>l&4NQXY!d|*MjU>N3;RCZY(b>3dM{AzehyKx!fNpUXe(itz99H(aMfe4Ei z0~H^ee)g&653dqF+=3-7^FQ%JPdUAZs}L ztR!_;a7l5ooUgAK#JV0Q6?{Ry>9Ap5cN6I`+bNYz#gU}mv8jZ>9JdLT%cikybXS)WL@E40@uozA?{#HXijlt9v+n7gi@r$$Vc&(3>U1IGmo3aao zFUb@?>YueY?^50klal+xD_DBj zU3kLUsdzxUE^MM84=@?_S+69#A#GLRrAzD;K5j$lDm)b~#}JS=w9-*%RNJ^U;H;^o z6?Z@n`AB*%Zg^jBd5=934Y3jSi|_e>wY%T^1>WiE)GlkfgK<{gk=)75u;`oOvW{~l zoguWV5d_CR5bONZM6G{TT!hsMh9eIew10l^zIEFnzJp;c?hHp;!X4IYRkhT!x zwx0E8GZ|iV5#}0W4)xp1nvgdC-eG;`O+i8Hr_79kni`$Lf&#jc(t_btH71d%8TULR z`mMe5Z;T2voOum!qW9{E>gDE-3unD-W!0>5I=qT^_85wBkEN6+WDH0lvyOOmcsE3B znhVc!^NX|oXqUb$(b!Sv|K`628$o~*ILGHN!7BbIRl1DRRKv+;phkh7oY;BuM#)m~ z3wjm1Dmn;pk}#7V+MI(gvtw1TVPQ>b#V4i>;*IgJseafUQF!2=W$n%NZa_aTeS4FS zn#iF>&%(l@`fGz!&X0+a(b3igrx-8WotnP-4#5=8pI+5do2dJ|JhQZ66gppcVdm$P zy96(>M80m7_xk>!f4Va}uIlSu@7TG7pa$(EBo*NBLGCPUQNuZ6FKKCPep+Jq0^A~Z zBqAa0-5JYJs?CvCT#SkAvtv0ddWUv4Ho?sJ18ci^B_*9d7P@mQ_SKgS|9qL*`YqKv zUxW9@teoaA4nSSICatX8Te|*Zz-m1nJ#01ja15iBMet1*SYIP+Tr`uoAz>QYJ)H0MBLk*ZXHa$8D7o0-@rhE zx4O25g}@Cm>bhq2plIY=$w;wgf!h81A)%qTg7mRQ1{%R@d%jtG?Sr~EeArDK*h_3J z=xXFb+E;syH9~fLnTnQD3iJI!$;f4g@G?Bq8h4o|Vt*nK#n-sn?lPj9U+U=a6m$4N z%Y-Js!%6{PZW|M>&3W$zpCu)=&N@VUms(foh8Y(Dd<#vBc{{l=B#ezL_DxDkB30HZ zDk)*wi5?Gm=`CQ(KJ?91m?0%KHH>$4Z)=9MZi=K}n4oSd7805w)042dN><@(O&0v< ztSqC?wk*GOyQW+W9uQ<$#I{<*dB*awJgqCXlc+o?zR-VkEQrXwrO+Ao=DFcQ3}2Qi z%2-d|XBO$sLVM9=WCW`Gs_vJa7+1=^N4(7z{4MaeS-J9ZZGQy8Qp0G8LEPe^88vKw z^=>wkH+Vy^K{N|o$NY$Ju~%1D0lpEX_Tt8M@~u|PQt;^hI@FdbS@>;$BlDvoIz+X2 zSElj%i&bm73IEGEQf%2UJnd*tfp0RG%}d_9QtpXY`{xNY>Pz7H`xpzcHwZ`d{zhVE zPc5YH<>=?n!4(mulN+#20#tJ8cA|g&?gyaC%5Tg6@~}8RUs7LxYCyvs^3$fVE!Fvy z^CHPPP*USWf+TZ?vWkoCx(w*=n7PU1Z94a-%fomQ2a@|EICQCa6GsK!`3s$J&dKt3 z8gX`z#t6fgB-0JNAGjDPvak91$Du8LIOSwcZlN}-Z zQ~pVk-uER7yQ93J6STN<|NedHf^cj8lyhlktt>34-MvcXvaz_`vL99G%InRqyVZr= z$TE=?4KbMklnI68QclsEVJmG8O4t^TxzFP6r|K4kLS3x2^WlKq#aMQ-O;QPf<6X{} zFnuiH!;XQ00R)66gNPeZofv)NmcxrXJLR4`i#%I|$LXEA&0=3*FNwxf^=ga+P{+~F z4+g9#@5U_(Mt@rx4cW}-Gyfoyo)m7uqT9IKA)QL{m1d<^gj51p~Ag2b9t zSxJcqEp8O|Cx18Kwq!4n=3A%7iGe{D{3Hy)8U2Rbx5#k#`T3*A`Qz?C$P+IgCxW!T zKJnuTU@vm>O|0k|%7E6{rp4Y=dHy~MQ*P?ew|(6J**QhV+DU^JPmTC^)Uzj#JJUZT?3lF_K6qoZ^7qobo?BO{tfDymD@q6TsKeIc8R zxNp)6lb!ujGnS~58}#uJt(&2T-({`v&iQ6|HX}fw4UN`U|si&t;Au8o%^4H3iVyE6dB&gHO`^Rq4I_a)*S>Y_o4v0zd@F z1~snL&mil5R=@8{Oz`xH^4I_RavZZO`ynK_I9u!{E&ET=EI!+ikPzvpPcc{SmAr19 z4H&ctp4?#EexZ8lp@9Ku`M7A|EI`i0#KcQ|qHDWeu*JjCf-sgC* z%yT|Mmu&o=3~u-i2u7M*H_P%Dbg`I-f6iGzMw85jA*TerRLe6~0gcK4@@GHqEo zb5Wfkj5fyXbB1EUFiHJP%dQ^P0fW5NOJ%c08H#q3o^Ld^ z-8kR;NkxWL#sx*2fq4w!gJuL4r5Yu$`Fi zyqT+;kic@!zf2ke+E0WW`RNjmi8I$iKHbT!)QTz=PXNZ@YUG%lvDwuaf&4y@tFk8>L8c z{-G&O`L@H(ZUjXd<<`Gs;uUT+cu%!FV3idSG%i7x`EG-Fq zCacM21UO~ngtLdfMgBu|s-1DHbj`9`ll1xF$%gpabsJWDE+kqdLF8ZB^IWDsbNI}k z1@1rZmhjJDk=F?2kA2s_v03ZNnLRXz^Y4lXF70Px?*cemcDyRQk+Wv@wKM0+3!S#* zcODq31oJ|v{1(RB-dE>5>SdM9?M3x8#oc`Nb#cwCt(rH5;NSOiltaq$H@M+8PB`K- z7|7*L`A&-3?A!7Da2j81zt-S{VU=WL9KU_Dg!d_8y((4(&Tj=l6=1Hwan8lpk+taJE$uMXTIK{u^zNieFa{?#3~+5xrR)Z zyi!YLzA?k4Wu75e3hT>Gg(s#A)Ck#3J;gFGMRW5d-+`<@u;Nn28S=D8rZfF-62n5s z%F0450A$NeO=L6`x~xY`O#C`R(VIp5rQmQ_hJ+*8mY^^K(N5^Bx}$KlxH@>yQc?Eu_>NaS3u16> zSH-GsdivpZ!d-E4Z*T8Q8Z;q-X)1%z4eJ(Z;xJFxRB9*5C>p;tDFJ>+qhQ$B*?FgQ z5<22GKvJc)(k>0a#*jCK`v)>d3)u<5m|#Hg>!fwPX5|rq%ovJl9g=OC^1BZA%hMF1 z9YiIP{;EeiLk8g&tPL*M?;mu}U3YI}5#LP`a5Q8lTl;i=TH~-#;a)fz)v-Q_l|uGE zSBPuZ0xz&u0T3Ru5di)HIzRXuzE79T4NvVF8(P~1#w`zeG)DtTNh}V^?(mJ=x5R_L z0a61xd8xt%yaxdxp&FEg&2iaStw=nm0RSeT9lEsXEJzPcL=co53>#qZpW$Z&^{ITe z6$|etb;UwFf0!kO$#8-aY#oVL!t#IVkY8A{$6s#oz!mf3zj_a4*cxZA9`)RNEh>duSY+d9W+qGDiQV&HRh zGpsFj(?{q1>>5{8!Dv0F_+H$+F*8}TE39Lz`GC6dP6dLTTsC#w1{aYBt?1UM1wTMg zAX0`VLQ(XXIDz^DB{fc{Sjzeuprfow^o@q!=}&Txw`#W2$(Xp|o;K%{6^!zW~&N5ReHB&KQkc>?rC7Y35E@inbQ{g)aHk zfS)~iVg|tFAq=5qZncX$-TiJySmbr-Vvzm0@0k2m zRmjb`spabR$#AHNaDk8)OzT5w$s&ay*8pn<3CQGOmt@4sj&xd{_c}94?W<+}jr(T= z#5DrX?!e?zb>OBwNlZSIy3nDWM1Dah`KaTb%02a0<=qjS_gPz2$b!$MDPLu0PZ<$7 zrx?$YrlW!zxlB5?(4Ew3RY6i0n>2qT@)PeXzV46A*S!cGX=3DF^e(D3zKlG5gj%n| zGyA(tlcj4l+4#6vrVnWu4<6H2tu20-yLU5^)MnruK}g_G!&O!!f#;oL70UVRNF0Sx z_A}I#b6XmfiZUR$unaXQo~M-ndL&PB$s>j_M2dXaa^@poXy_TUFl60fHfAe?r@PbJ z9UW~`z7(9oL*!LkvifBT3EO*|tnou7PUG{;!MqzcnuU;i-K5-}A0!lyf* zx)t$(T$bG5UNpj9tdz;yKs@FdGV@1Y)c3>Ar1@H>hrGAcsYZzp8hj7Ge@nQFh9&}7 zp4Qdjg0MeD52{EiDk?mFd}J%LpAp~p0S@N23{o8~z-Csy#Mt}i_)wnym9i-vdI#D? zV2q)J>b@CZE} z?N${n#$`lxX)sw4fW!fY@1!`_O^MI-xbb7wVRm5;uWV;Ld%rh>`E4M6NZwl`tJP<8RNp)%h+5$$^|vq?uh^y&pJPRaw~r4?F8%xYU>Ca9R+g zVWVjlYLka#7<&1LGik72c>j>=$IcGhdwl}~Cfx@QFnoAnVIjVz!bK=0a@phn+ib|&8A?&W!&Mf2-vV?V~01V2v@BT#j^O&xf*dHf%`MPJKa zd4U1@Z|w#qCni8134w-6LrW|B?c4M0iB=PbyI%EUHO_2M1hWP$pa*7N<6E^ESm=d` zv=P95Qe6JiLlh9l!ot1F34<2&J9Mt-l^3g+v4c$am>C~5$UxA_9+os3nn;Yp;LWQh zjmosYLPOqRZEL$xO*2Sea@ifalx5w`GAPQBRLHC3t$o4{#p3UDz7VU&Iy#6eDm~hz z4wPgzNDh_X9QrzvSWc7n95I%8w`FsxPEB1s=-|MsP^X;LxZea+4a*@`(Szme>ZNpV zmS3VnK;dFA={FXgSe_Xxt4^-Uim%^R{15?u7IpSV4{xBzs)fDLPfUV1yR8Rq+D_m= ze<>YCB70N=6cBs~*iHny&-hXSEfBl!eEw9F6?OH%{a(PJGG-t~jCjF!jY7gRGq|8! zUE_n@jUag@Uu1U@S7)W|B>Ld}gGw7oPfsDgKRX%nyPl^81k^7XwYHgcwrwub^|0gn z0BonGc4*S%)UMR=EeofSbU(iy_0hRRzm9UNe(&L(^i<6F!;R;cw;zfg>`U_df5k#P zd$Xf@tZr`V{ru`%%L&EHN zw$kgC=hq*6brJStJzY1HVtq{`!=CtOoNniP&JAAeHb+L2PKzlCHf_5!KTk!fX;4Bq z_xEGyZq7Z%V+=na*gk!0q{s#X_Wu3Wi|gLULLK8ijK?ldF%qTQ9 z>?h0%^#@=<aR}~TVGvGeOKa`f3s#O{hU|>Bw$lhQ}W`-(_b~7&F=TXbhOaeA_A=6 zo!wu-zVhNGn+PD>LghG8K1XB^aDEBS?sVXCkCyVsHQP z`Ycazw8iRNgCrgzs2NfJ5Xh0}G!gffwM0!T=qI4#8LM_QiN1CjGZ?f3KCY~&y+{OG zx)ZuUB;YghE8QMP(_Uj4zD~4CwqOz&u`nV}gB_F3pzj!YecDv3;n0hJf-Nc$j?HwN z?HlYLnchpUQEE%jQKG*qM7UzjzJ(0`d1S=)707#Ub0PWEl7to82mls6QCdIm)d$Yd(R8Ko|`5 zHn&QsUNZQ&%&%kv@$W5~e(vVd#VpJ3GV#W|$v{kIfk5Z`^8czS9YiIZ4~O~+^3vo+ zD15_=51b%G2JPF^4aA!!AhgnP&Ir1pM&yj^)WC1M>mAjOO;#;fmF~Pubm;Y6_~7! z+ge^G8@8$#1E*U-sL)deM<>TN~QG;&JIKE{NP&P)IFu&Ss#)t9fjIMEcm_>jY zrFnikIy~v~iVG$I0}KFB+(uwB+!n6;-&)m08utK`=Q(V;83}_Ep%!QmW;*IK=Jh_g zy`tNFKspz6*9Q@B`*vcUXEpM6WR0-Ml`L(4X>JC&Y&9Dw3yz1{<^%3q)7Mk(;i>M@YjXqDV3jfiKrK<<?q&oI3l z@rz(pf{u0G>%tza33MFv;y(Lw^8gl#sz+@v#9!6oP@~TNNFo9L1 z{SpxMb8~Y%ol47h0Oq|I*>UK(_fFZgM;0>%{N6EoYa1;3r7i#Uc2d8w=-fX()P9ZO zYu$v~0E}BbmV932u%mSe<6pM91{DvjlsYXa0WvvSH_QdDU$k&mmhZjz}V40&&46!fmBUSwp37!eG7~?h^tc9f1Y4v zHZ=GxpG2YYAv5l-jmpH1o~s?!$4FdK5O&9 zZ8c_=`98DqX3$_gH81mr$~}k|`>%G|L_F5yS2xa+0ErP(8F?#RJwI5jRGG_>ENy@O zV0yL4o}TbHdl2XnK7#G$%DkZeLNDL`>)&J(Q^2J$6fAyyyj2jN(Yefzeo}2efR(RE zDy#i|Z`!+6-0-iCrmCk$-%7AxYpB|GaN^Al@6#T8a)U0JrcCU+OWoAGiYMVQxpL^$ zL`iawlP4nZ^Do1<3CQ!uz2;-Cz#D^0VATW+CjfF?gc+c?d_8q^0rulF&SH+$L10N7 z(4DZ2+?SCxYj+QLH^#_u7qi~*6uY?jY?(wFiP}4cHt~k<>n(+k*m$JXDa$Ixt$1 z5ub2p0@1uEHFCRWCeGw=OLuUH?v~Y?Gc&q%h#CDV{A3zO-`CgG+AiM-@)H+WqDYD_ zZh~pTOoyzTFcm|50y4zKO=$47jOUmTJqbqO0lS5;t#2WpNFZ~QAvdO1U2&1C?b&~t z!iwpj^Urx(+%i#pWM=$Py}zwCIuE{;vzdYBMT$J|V~cAwU7WZd8IvEoY_7gr88R(L zrw0~syKUEC78{R*=+Iu0ER^!GwY4>9DS_aa0YQDmWvt8u54xCagS?)r$jBFW4^>zL zneQx5uA|ZD4^$K;&`TSuHzp*5&@pb4K7j1r0lkGDqpDVH(3cw&UnHA{zWNcn38(Jl zWfo|&2jPEPK$P8I7kW}X{~kj_ZwW_Btc#y%G>~y~V;AtrrFNeYh$|?kP`(AoM)T0Z5F;f9q!22QfB=mekG};a zjR;_J!k_P#32uUt`?J%5Kg+(R^T9xf1wXJR+6_LxORc;6&3ThS>S3)g_^$-vBA(O@ zWrua@E9)o0t@R(-z}<`L9f~&yjzpmYiH>HJlZ)c$`5vEUnh; zw^DSM&4niO#MxYqln0a$Ct#XeRz}`5#>9J+nW;^vA35tFC|BN-zzl+S$z;LKhRFrx632vtpPwDyIT0PO)2lr262CDy7UHr#Cf#cPYy zt`|`w0y4AbOXl^EvL3$Jf@_=dJ9vz*USIuw3_O|oiGJ*BEqsb;Qt}v1cz4JExTji-G+Jc@HDz36;_-1|0`*||$V(%#+<%c2c@_JD>E2(+JHZcW$I zfdL0>rPAt?XC*O0dFw;M617X1Mnr}jAII@v9r3wU+#| zYUl{@UM2Do<6;B*qrpC0dgvmoKh|#+my?x+C710uru6Z&7uW_p%*E}u}_=ITBb?NlC2Kk{I$>;N3UL`>wczN$} zn`^QddYCMI+XwaZwn`X|T6!hxN6zdsj6;q|_A9{kHGE;!v0 z6l@N2Z4rvLL&L*2@;gtv>KHa^O*9(3P84V(4$$atl!vyPs>!k{CtjKFlc;EpgHM9V^-GFEDYO?h1xS$PaR zq!Bb;n0g0=#o^?5@2o$8%F5w;3tEiEd$hTn@<#s1PKh<$9ymo%4z zW5T~lRzeR7S^)+l?#G?%lY+96U06tjF_!{$`RVm-w)#dWv`uzZCJq10LUzm z`2eq4ROo{GB1MLSyl{cocJ$O#iwz8FSSt@Q48SVyi#x2~%DF0AIy^d>U0Eq$BXK%@ zwO2$WxQ;*WFx3Jjg`}EWOv}HQkD&$uhI`aMgv<&G5vU-5aauRrTETQbDF;?tph3~- zGr)E|R>@7(1_>a||T?%zf2|7jdyd&Y;+PZe=}b9v+W)#9>GK z(>Y%QFn*|FNv60y=n3F>117W$tZF~kMoZ*@Pe53*i=N(xe;0!AhYQoe!7JIXZ_Cwr zAl`ZT?g6JmuCJgcuw2GFopk0enF>V%IN}&5Q_MzrwjL-+Za#(WkU^0qU@gb00US&u z-9PH^+)HHINLaI^CApwnE_pj!gGuXU{&umSji*~IevuT%@koO!mVT}MYi9U6{vF1O_!a0eL*(g1)^GLJpV;60Jq?Oj#?<>yjp(e2hIZc`BiRfIo#}_@bgGI z7c@7V=B%=jRm0acBmc!8hD0#~xl5|BQ?Qy^}ssgXk~`O`~`2v_=@KMv%N zr^%ak5-RCJY{JUPq2qkK@g1;y=P5C_1=0v)MEGj8qrw;#O?wvK7Z%#I9mC8V?roV9 zfa<9B^v7Y4pl>BpgNg)#`MUCBq4Kv+lDehc(K4OxLTWES341TDV9^(VY5N!q$5>nsAoF?-TFNFXEU-ApC_W|@R(qkLsVN0=k{G6n z+f~KU41vQk0`|$NVL;LN^YS|#oezC;aQ(+%s#3D{TX{U-i_V@d`EOk$yn$>gD$-(W zS$=KS&SeiLQx(A%#arqjNdk!L^5sd~hWt@*u#`Gke)#j7ZG2ZIx>d)9=qRiw-PVD|+djN^EW9*D_GTf%N}iU_H!@DK0op9UA-a2KSPCO+^WY{U9= zV|B^yHsp+LX{2nm2(H7(^`gFFh?_`WRn(*J!p z)eK#Pa^ASOd%Pg@$eYML)%PhXxrDc4U=&E5$C=?^A;Q$`gTo;3PGLxJju%NW(b2Dj zzp2uIuoZ(N zHkEfykIj_1K;(-E;C50A0FaV8afo!zAd%)v73~z#} z#Kk=$=vm7oR)5b$cO+@h5=iDtXznMrLB*qMgP%T~uRI2zfW5oB3*H=~Nw&cn7vZT_ zjfnF&j|r*Z`P&~Gss>N;1^hA^v`j`JJ<^28L*i`ceuA7|y50#&3}6?GQyl`h#ZNOG zQ#;N-us1-k-QCM-l)y)P=v8cAhqR?|_f3Ip1d8C%WF~e~QPp&$Y4>wwFOj%TOl^n0 z>XdU<)7OuIT_BgK1R=ztB=a~RynNHo($x)-pHI+}5+C7XO52}8p(X5cT3 z7AZKN2h1|$BzW-~`T3LO_WjH*?5IsAOEjf5qV;4BG)FmjC- z^MI&x;b{C4d$Qbq5@u>-W3)2fv=f>X+qrg~*;{ zAf#C$#bFmjr(+%ttw2kj_WVo_M~@5^qy>~5OpKO>Mq4eWVzDTx*4O)iP9OIe3nDk( z=R@URzaT-?ty^u$zx+JjpG2#qit$l&iNep-*4ys~`F(A|LckjP`T5yIou1CB{xp6A zvyZ~iLmIy=UkF{Iu*?^=R+0HZMwKB4O^t%GvMg}0m?%|M4Zvga;T|!C=_6O8r~ZkD zQM_Z*o;dXm4PDT7P!m|}>oap!k$KB<$hTaeRT2vQ5h}9P?j~qyR#rf4Mn zaL3m_o~5wM2JIjJq1KXu8zJ?Nv9Vr?PQ^__A~7?)cr9Vja_GXp=QU9>$$n=?CMF1C z z4;wFv6U6d`0o!8h33}+>y#N~7WRxn8@O8adMzP4pkFfyx?zk&C+G0)veyo(70gw%3 z9tcAsoAba*1FKqUJ6VakPw6{EBM1jo;8<+SOCe{NQL-!ojBILLk~JaU1j`bTAoyxPv$D!1z_=dKJa9W=J#UoAQru86qCv ziYAOU0gn(h5gIyUeSQ7ql@&=4J?|co$%aFaR!znL_oK33#xEQq^;pPxky%894&K4M zKV6oaI@(nSvoDMWN0|ajhT;rWQ;;cXi3HGv^u5&ldMDcY_GLIc{NdxrW-xST-pe=E zCsAv8Y8xb;oV<60yVU}w0r(1RWz3PCH2TD1a`PH6jwH9-=B{dy}vd+K6f|m)MfkI;uw7@8?@f_ zg}~#~L@&5z2s{B{ogXR%7Y;!0E> zo#U;9e(Agw3nD>4?F!N@O8*?WY2sKn1tmt%;cL@R!c+dCR0KeEyY4IL-GBO#hARPJtbUd%*y^sX zAJz}Jc*1nBL>5DE4Ealt>|hA$YqGgh*4hDJsFgCqEw76B27q+?SD5eE&{)I}!zZEz zowNDc>RD}C#XV9=1av$3n2LBWpXKcg&|u-~NthsD?RV9VR5@Jc10!$b?H?HD+vg}J zOv@GnoQKcAC(@`Q3WJx=IC-@eUVklq@WbJ@4#}raV=wMP5%}5B(Gk8rYFs7*2M^)J z?+6yPqyFO7{rSyH5K-SAK}1a%e{r4^P4~R?H2*mlZfW;OME~Tg-HUJeE>s^EcxwCV zlbF{9N5IXXTDA|vxn4N+ZajTB5Oe@m-VbFD5lvbp*IU4)Y&a6#L#-tzlP%a3DIfP})IQEZTXmT!r6W{)%Qs;)dx%yis2(B#le)AT1dVaIYx@z*DR?>In zbF%o6@dLu?FI%_>j+BfbU`8Ew7fwTg-0LuK|B!BK|1foGnd!;f9V9K9l>x8p)zr@{m}POs@Ct&Ez}UwJw&`U8g%n?f=GeUZQj5 zX~JVk^21;5^EFzv1H+eYEVfgoG}cG+B4jdno&NmIFt!traF?_`~lT!C1V>~hWi;r@q3L(m1_?_01^;7hb#Nu zF_X&smuuG4wO-QnL65rQ>%t&sc7ba(F)v4fSH4OQ*Ro4--c2FRtNA- zFx3`;p_Dd;)viQ&@3)U?zQ%X2diaEfIQV!5cxA6{k$$ZbA)SX~h%97e@u>-scn!H7 zX$4EX!Z8YRGHSu|Lw?#DX@YKYUA$Z$?lz|+Dt)Qur_0a(xb2r{l5u5{Zy5peS!UFV z3v9_z8txGqdmf>j^*E9B~Zj}Lb93JYZ( zJfNfGdPtvhS~#DkmN=8eNi4L?*nnCG0PDy@`kY;Zom}*_OK9f`2BzTlkqA;!MV&>O z6@o8bzMKtiCY(-ht2u-9AdA`qCj}p6z|PLjS~2Cp_Y2Nz!{1k}n)n>~}NdWtQd&v*z0Wh_mO{^qosOOmR*-FkM9 z4p+v3uEHFtx7Pw0Z_)R{g$rZvEGbSM@@PvzPu)lr?*he0l?U&c@rFs0=H7H`fIlQ$ zO4tWWbjOM6q2;C|H$Dp4(6q#Sa-oWOJvmsM=MffpQ{O6r4fw2$eJF(&=s1N@!p zXKIa=c!#dy3jfJ}wn4pyY=)N`R*|#TJILct1?SlGW=8;j%~`D^vz9z{Bl= z;wx`wo`$UCeO{WMYp3BUj%8JCSh-DPrxkn|MCW&Y|(y`<&zGrM{$y(ks9}PJSI=1!6DpIhK5KW5H z(a}M0w^T~N0MRldKmG6+eUF#{aZ)DLE`-wTs|}y;K|KQ6sPJqM%k*(IX&nUY0&vA< z`1#ro;=|U8yB4V|95LgAE!b{+&N^rs&bq;g84*S87CNok4>+C+ZUSAMWxNBm<*pEctS@IE~CjlLX9{8~+ z%Ihh={=jZ5d-U-wMK;lCNm%5R$)&8- z$@UMu@f)5D=vR)*9}pasDn1i%TH!;N##if`-{wZvoZ}NehS0Lzj`e*GxC{Y)Awi#g zZW2aO!42QUXV2gh0p{DO42Yyn2d{KKmWEY`SZK=^Kb77)2eA+sk|sr7$+7(kh8wIf z$;C6Oa7X_h@8l8A$*v7I3Th8jA2H$VRYNk2Es2C-_@P8#E%*eocXBR5ikJ3(n_+8?P32#^vt0 z&hBDEp}5+8RM7p_agX2%EDu=WS#FIG*XkB^OxJstSq-ye=;PvIlD#SSncymaFz14f zg$=DAZ~^Y>lbEW;vXWU&;R?=<9cg_;z-ujqK}*6VK3J>gK2umnyNP!E4U@!;@BYwr zado#$M2hP1M?vntGot=Q8kiK&o8bH`bi_dWVZPVIoXmt%4_FE`OR#{Ty8`(h2rND- z5>!p?MnB(Z|H%A=`Ok!y?E$`WtfR$#+p*t0gTPjO`aZBXT&*t=c1?n!UDe*7jH_Wh zhH83Q&Yjy{`@aZTZxj%j0(X zCg=c9hZ5iL?~gg?eBdzm44GE>qa%6WX!tzx!uPKkC{0`dIukQN<_0TL=2g#38$2G; zvhV(`)=OyS*ujs7bi8(TbLo>+1?C*3ZqZ-!BK=+&d^$ui^uiEzAqkx#;hlaPZBbm{ zFDf^CG{;8z>}#lXq_G~2+7ALKG{610eyy*y=*00S`MRmG6J1c^XcUd&(|xM?<)x%V z#^{Dp?<&a8v~Ow9*6CyWuhGaZioz&U^szhf4SsXA&Q zOvIg2LvBx-AD51aIIh2YX8JJmPV>~Y#QoK`Hm_d4<%z?^Ow(j08-)-F=0kp-Hkz<` zZ%47|e&6)I=aK?OYB(L%zCg9(5s1#A(4Od{byoL7aFy%Ph#LSfj9X{Xy;^4%odZo18FkiHI~QCAO0 z?RIw9yY5N$tcN#u_U~D^D*@9D2*2Y_fpxD7J(y4*8WR&_svWd`l-p9N&r|5U6{vjg@5? z?W%?8u3ok2vHbCOCfl(ZCBhp;oso^dcZ`ULaN^_R1DSlB$r~JRLYhHuWJ@29nXbu9 zI$rJ8OHK$BvH#fG^*2$gsCS-vq!kv$tykKfcZzprjo2Y>jSs`&4eiL^J8uE0t2sF` zG6VonxT}Ya2q+{vYgc!Xs%rX4)cPGiHMyaGZjb{e!NK^!^>=Go!vJ$;U4Wg zQ(}bW12A4fq_IX;Xz}>jn?fo>wOT6h6b~Ilt?^{tSxdKN#Q04+w)v}kzgtq;ap27I zhc?CV#(3sZtvD5)7!S7=DiUY7D-`xdKI-}?;~Bg5cN=bU(?4^mKpl>d7zlDOv@XPf z9QX+@2J@}H9;9EsU|#cU%>L>XbpIsax+;wvxwn$Ipt58|2bM)XfvqNitVJ=1<-C(j6<`u#{SDg^bqYUH&jKT*g+V;?};TQb)N7G7- zHk%&wqNkPzyTgkHr(S<*U}-vk_V-c#41hsd?p!zhnPD;$K}QVr<_0zdGrkb2>FENEr{ZwFw{(_>vQW<3y1sh&UCD9vSk z<W_~%)$WPe zA%GYUczqy8Jf{Cy@U1z3r1Y15*2ZpJ2H%Od_n}q=MlfOGEPuWw4V+-UON=U>xCa;Mch$H~ z5!&8{BVXY2fiM1gR7N?qU4yXhh{`Qn*AYV~+m@~ag?~Aq+xeH=zFkbZK8FK7i)zqR zm`+t~P$aDyyRc_X78>+=m~k&W=z8-~1~6AqK|ySwJNm)FDJ5nY98jU%Gdoj`qbBam5A^O17Y3z$P zX==Bjx{vW#x9YWTmNn@fh>>+gWWCq!@a5=(#{$h{5e14uZh;h|e(F)z(zzq*r%-52 zj49vQ?Nl5s>Ylk@}Ogn+V0%O`w zd)`4;8DF*7VgVO-DvL4tVel7>y!*RdNU6qn0vd)++NEI#H?|v3FkS^GwM~AEB}}(o zOg?zoKnrX4DeVz35P+`hn{fd5okMuZY!9;bItsLLr6g^Y;-+)+f47sHPab2j=Y0Pw z8(%9C(nqr9`psOY;i~Hse2Yp~_jaV|4Ev_$JpaZf6;GfD< zwDPdR@!~hJ=6bEcrl`fN2aiO=TD#x0RejBF4k#j*WvjCrgj$8a2u22*x|IitH*2nA z%8Jii?;>12@>KV)CoovA9dCK8OoZC}zn!`Q$c>#r&g;j&vj_|;`mx6V#v zrWZhazUer(=iWv-m0=%AVlrkR--4ucCs^gHDfA@DZzV@+XKOTyH|%&Yyr-D-3S=mp z`rlGq_QeG>*DbUVb*}raP-(WuoFt z=F>50?Q&S&h2Okum{rmjtcY{y`4o843wH@8+LD`MHr9z4E^UFs(4T1pA-S z4Va!Gp%L)*;Rag0;l>2o6fC%7C0z1mY zUmZltN>KJ9Iy3#?_ueuNJ2y02AzH~c_)|Fk_ zuJG(PvDmB60w6%S{r+|=F)`~z$}b3YhK$u&qi^o!{@i1XL*-K4*gaQy4=cH+x&trb z+eVukRhKLIzZ+Ep1;Tc}3O&!~rAmmtECNY^4Obr>$)9>H)2sd3`!meV!`?z5XJLH0 z6KZm31$Ae5VZbwc17YCfq=}|uoAr@vg#JR6uMM}JGH6NWx}EScghsRfaO35=CY`|* z4*Tr&b%R^CkJrC_5tYW_5MIy3vVjH&g!cc)sYj)chMMNS3e&kN*Vtt;OlupaFSmfO ze(BNW(X0~!q__Itv9Pd=Or*rt$gcJ>yxyAW&Y^(mnn^bcyp-xZ;D&hEtdZjK+(>p{ z?09uRq$aY5_^B3Bn_W4XR5qmpR9a!58f^YX7$wj8j2nQY4`{nkvyg|^`#`$aJQLLf zWGNW4!(<0)9FvR}aG-}9H+Wo;&l3&LD}XdaMXPYKFlLUoU2xnz-z#Kj**gG*_cq6C z;~1Y@$Qn^crcOVFWV;16f;wGAPNInH1(YM0M8QZ3v5v$eO+tlXyx%iJjsXiH#ONSe z4nRi?Q&pG-cklWR&6d`ZqvJ;QOrD6$M(AH=B5C?hUP+*oW$-snSqnHN$1`TjQiGQy z2^xEr-EK!P1gjmWsrxhvb5@|Tuon7mDtRiOm4D4kiG)Xxa&(Sft(pqj^|ui~y(laE z%;fP`63v6*qh~F5#1PD4KVJsNuh|SjkR&yAKvy1)qq(HjCxd%Jub2?;z`Cq%5LXuj z;QYZlh>20;vWdC5Oz_u;l#K0%!( zG|Rqp>ktv1IOJ6R4r{UP!P(>484zOxmBwGzCkbz{6$*?hl5#VC?fw2{7Em8N*4 z*_S*bD8$uuclfNQQ{eGq(HJiw(Z<>uKXu|K!TEBMpRKfZ70@VvwvJ8dXvei*LxriI zp1-Itvxv8RK@`B;JkC0w6T3wXJfP^6ZPXQH8p&=|pf7r7o#F|huZcK|q1>emvzXz> zb06$F)9t%u=q^1M3?R&Z#~eG&LlZksh6yVmhT=5AW{7~~>1+spQv z+%TmLILMc9f+*qbt@VRv*)jtEql?pi>e+MoNrXxS;J<<%TvB2fm>0!zoEuac?;0E zrp)h(#V`M3fK%#m8xY+9V`x|_?#wAKrfh-Fv5o@ZCw~KgVQ#3#*`_X3Pf`LWl&%$l z#kqsN|8+z^7T0=s=MMRto+HLgQ2W#LkhqC*a#aRX1?8S z-ktC2v;XANA9~?x%466-oWqbo-PZTGvnD+#`ujB3wYd|1e_<}}{srS4qi5a#t_)As zKYGO8qC+SoBTS|CS-Pcgcvx*ogc-kv5dA3M5^6A*(uuG;7)d~`49kbJRJ8MuTH0eE zpudzCrlf?2zmS2Q%G>Z5m)B3kz{FuWbTHF#`>S47qo>a~D{)bT9^|E93d}jg! ziO|6Qwzv)vZ8++A8uNxIieL(r;NPOfi|AyqPdEG3jUQ#pvP9!U6(MYhk4MY{SCs7zO|Uy8w6HoMYY=+=7o)4v^W!7Jk}gUC8bxb`Y=mqp zAgDoKrkQ+=R))|;-2GW+&dVP+2}nX4WRY;$g}kES(0w1bj&vd5=q2I>j0AQ1`yHiYql5A3L+un?58`$&uH>UfeDmBe-r zdGkPc$tVunBdq+=?%PZ)++I{aVV*^j_8P=^7unQ#zq|GNj8^=)eDV^Yas!A8d{}^Q zy_OnfF<||Z*~wAAfWGh(d0x|1<4}`Y9{rY1QI!;Tr#?QnyECM~tq8WPkcs}&I9j8| z@eP-8ffyCSOANzo{T7tZiyr82hhaCUB>+i182JEj1<*Bso|qJ)t?hgno-X5g;S7;` zkEZS2Jl<1bUw70lna%bCR_R!|Ckk|5 z>n~M%4|EPrt)B^c#25MQU+}w-`=_W{wLa($x0)X2qT`qHVV%4)QUwj~&C|#lj$||E zNGDkC=2>&0;uYC+zh-^-zXtl2Pq!$f;OtS@Z6-RnPX}<^9`?J+4l|asisJOpIO+~e zRi6}fjIR`EG{;%qW~X-H{~Uhn0T+KfC3FEyEC9nycY7mQGwL-gu7E`+aM2*fLfcJ^ zfroh_^(92sZs%g}u5}K9?d&;53{0gjZuXE}upL3YcO<12WA@I792z}#b7L@!AGEWR z`Di5!q8qyfl+U9+64&*X=hXEdBIkIwsL@_T_ZF$MqTwIEyFg6KF*i7$h5 zosSZzn*k<*L4k=lI|#1mr--NOC;nv#VGUx|6s(?j&+`+%gxm?b%n5zwB#p%i@8eS^TZT_2lk=-hjmH4?3?5O*VYGxxFEx4~s2ODC@;Y z6J2WDxBhXdk(e`aU~f_8lpjIGP_kxXF8lvP7tLRvp|AT4O!@YXvqBk2$FVx#DGxL> zFemgob+@A`9~zYSUkht-M5iWi4Zw1`UmZmy8*nm(kPxB_YoxByW4i8 z^VZcUwDEqGgl@GUe zh2x>DE8}C{cMTUR&&ppOdDzF9v7zKZ5{*bEcUY$99L&Cp_9d4nLmPx}No8^E-s&_T z_*@`a0(7RB&{B3w%mn6Uf=7-hUbt`}t)5EgjK~gnE%?tF`hl3Q z87W!quWZ*fmYp<%=U~f~^4sJCa0@2R+-)$I}S;xxhJ(&t;L42G? ziyJD%KYqXvX7)+ujc;Pck^=i)rH17{*n^UiYKZ$aCGqhw7x1+JX08U3i2kuL(<^p9 zftg5i1*SjgV}*NxZx0cX40Rc((s)FpE8wrqKU|NyjPaEgsaSUneEza=cN(^4KctK) zZ(_cm^o~mhw z6kFGpjgISxaF?e-fJWP~CKd1l$WPPZrZ}ej03@*e@?D6X@^6r%_h%j8JBptHB1dd0 z;F*FFB_QU}NO^fB5CUt{5G@vlVDy`#nto6}E32yRMUV$!RCe+C>l$dUvfVtKG0ai4 z6tuLY7?fKONoDyJ=dIiGC1;hdy!^gzy#N5rch^$0U6v>H!U5noL=~G0!#rUavZPNR zB|(M>z@LSJ=v-;3PgEn~=MzMD-P(JO4|XW(=C|-phoaWq;e8IBY9?00AgCIYkr; zU`7q#=Lwz)du0nv&yxogx-lAuaRZ%zh478D@in16Q+iWR_#`JgY z$rGi-ya8f~s=M4bk;Y%^)XI!Ze?A~+fTt=pRxTg~G7uT^FkBT4%$gN}9}%qy?uPEI z6!2mMn$%e$SUzfJ-A>vMK{{9m4ktu##354WjpbfKu8f>_pkEFXWy->rYa56|pRYW& zQPm!5=qf!Vb=W*&?6;t8?WITW^AEGIP26kn7hER}efYg%`Y{hT+8-0k9~WQG)Ah^|D?yX^>kGc&njxj9>4n2kX`<5*P_f9AbWcJ%C83nmvwb1 zFn>Hl;2r~|Cj`(o<*;MG10}SFz!+xcuQAM0+p;UM^b7lv1M&o^9%c5ZJ8yh(Ri z&}%C5TTNtuOvACkq2u&*6!OoL0faLJK`7*aN^4QD)dL%ewuvAu^vTrdm4kB*0eo7f z0s1+L-Z;!5y06PnonvfmXQ*1tbS#H{i+ro~e!WN&Dk+|vX%G|OTQl*NI}cSAaIT($ zqT6l&rYx{xg#2Zlc>E)H6MOv**1Dp}1F*uVFoIX%EIijXCM(G&G> zuOCgsqaIGH5F746_uMU8F*Xr!4ZZYh03cFdvZHN*)g53K%pKSYSLN|O8gf+Z4(55D z34(GYg6&BDPJi|B{xdvQL67-JK`q7yRF-lm8GxT>9`O%9uL8>N7r3WZ#HkHO%crvAI%BtY9hpY3@6|c{T$f3kwebPJ(p}W?g1LfJGG<@S7FWulfDHxDErl zI}jYzF1o{;i%jbrkOfm3X)vXMGX91x0N(Q76)xME2=QSo*Gw@*_o4~KmjLko3%`SD z%q?@V`nTBODSHM1cG-2p&RZz<;aIR}*}2Dg9dI?VR9^E(QUO!76`- zmp?sqbvqrt9psCbZ0$ecwIjw;alr-x*y89dlM!!zz0x2!Fc{mVAH2s_AiqT{{l4nL z{;udWi!lzkBPb#>4uBwZ)ma7vi)WSE1}hIR=8ZlmApV+kp5X3#HMpG(oL@RQ1P5y9 z&ТH$2PI5=)Rk0ebivLNx8{{x=WH#rcpEsR{_*^-E3XAK|L87!`s|8;Q6+nKKPkK>>ZJCA=8a7ddEO# z>;@MA=K7&l)b~cZ@A8P0yVMw zpm_v~aTra4k-v~QfD0j5!B6mVU20g@g3B;+?Mh)j}&2ef?Zd?3{)WBtYnK0x(Zn|S1+ zwIdq92Y(X`4CH6V7 zU{N72@xlJXRRm0`_ug)Vl@#8!fBw9w<}LO`s1mistR8g%(UyD=ic5|!bZ^UVg0+cZ zSB7jRn8kqt-af!}oZ9v7-KjU1HgEki`v(6hKl51VCm*5fU?f8%t^YB6in_}@xG|vj zwBcfnlGefhgxavp8hWEYvq&InrC;OdI0PB;=fOHo~1JN3-pTfD%062htFF}nf8qWIIRl!N4OLk|>505>FkgG|U) zyZ{DMV=K&W9YM01H#IgG2d*)hzq%FG<^C(A>0zRx>_CG2r%H@~{ib=;{;ek<`huKI zpI1ka5ya1))`m3TsAz3n-t$=(gwZcFj|&d>g>Gc^^!s0##b9pwJ_|s&*zCu9iHY-s zKrrElJ8q2gkVTvhkcR*z+;AQbr2!Cu_ktOgRyWHxA_(Ee9x1PW4MsL8|4?o~Zn zIm7@Sf?^W8o%&w*G5tlPQ5I)|uL|D#NR>yx!#a=OVE|WMx;Dk~$DI5xqm})@?orBl z12@%;hKr3ztGSU>Fa1f3iSTn@fu6g&$fuL&(26s`$HDdtO&5;9>iv(^;fFupM@^33 zFf<-q?GPPYg@dC}?K{UfGTSqXetT1Pn>X-;S~jha#Fpv1VN{^BHL%vhgU`^nIDns# z+^d`+hKRk;FftO|-(?^EWp848iGKTj<^F~kWcVdwAxk2&r7d9OnMuqoo{rZ~&l<&5 zQ9llMqNDdY3uzPL0~iNZ4p#>X6gL9g04_=2zA^y|XHQ&Cedv9h<4^&@=l{P;eEy&y zKa;T&#?w8QBY4iCQZ#+X_tOP5BeiQemdpen`|=Mf=3*^adIG>8KXh~L#f$x)KYv!v z|2V(!_duOt`;0%<@(vV&e~T(Mpj>uJiwUGC)eYK|Iejop#%06X8Q*AKJg+LTzMfQB zeSz5SD&_DVL_Oc7SkxHGfvTb>&qfVqMi?;iMFRG$EZZNoQqfIRx04v?wHBn@uK@*l ziwh8ea+U7)9`70JGZ;;8uxc^F^tbpkj-t7=)u+iC$Sy6t;yM}M5aij!dw?(C9XM26 z(bo3edJc-dP!rf>$e0NzELv59=BrS%x3)6oJI#=~6%l>x$C>#3Kywi_w`$s4D)M&u zoPDs_doI5{~^TlKO zXOI6`HF6Tnnd|?|j!t^dk%9ghnHz#~7>wJrd*Irty=MnZpJmQ{ToE{KcE7-0G1KS< z_)7?ur?C-HeW_B(6IeqSw0`F^kFZE2OUUk*Z|^+>uiC5DvBq^qGkI0kjqrmM$(%`us#6*cMs6VvCw8} zeg7AZ;-$#qkB1mQzyKh6EkdTGi~%q~&K%(Fi?JHYzf1!(@|w7_egGJP2OmBhx5@t+ zs8d>uyGi+0HfLDbx4-)$t$68u1FQ`P3k>r*yR=O?Sbo ze<84-gOvWcLAATL(Ty8{(8PeW5G2|``2$nSrr?!>1gRjQ!V1JV^N|B%M@#%nPvPaf zW$j|CQs|sn5&zq5v+$fa{zrd^|)(=u<$G1#}tYjM4t_DoB|yuSE>m zOZZ?-!yOn95N2Sa)E1L~CQ74;#EBA^4S}iSQ;?*rc=i&T>K+(a@m)RIq4R49xH4z9 z{jtN!5SIXu1{;mH^CM0(KX*gJ1VF257Kri#cK?gaA`@g55k#5AqPFSA*CXZ;d0gSl z3Ob{SgH1OUfD=R0+Sc`kfxh}Be03Eqq*k9F*{ujgnA$EOD84Kg9chqTsB<}RCD4Wg z+?8D1ws)*%l=?h*sx15fOH38jja!e?KBoVS z0fHA_LZ&>HWni)fSiA{&#^1zn&UWNSm(|0LHDF;nugtjTPh7m$U(5#0Ft{iwnVa+f zxN{0D0Z1?a-2>MPU<9ChcY!etlEn1HL-No@XRI-nc0^Q@N0FEE*Ke3w>zrCWmv^M|1XGF?oL(DIW|0$BW0s;fgbbH1BE{gl(x=8@@ZJ6Sy>M)kZuezsT zkUPcvOA2+{kzBYbRX_>+zo1Ly=e+;a!~N&Y6YC>5DQI9x6bQ0=gi`PWXf8mb6o={P zm7@j9iK?|mujV=*`_N(~Syq>uq_bYY-iA7Dpu;Qzxe;(n+o7`{q`3eXI5`7!!kFFsCj3fQUv7YL6u{Ko=cqB6y9aFM93$eI)?KoIEHdJ{7Z z<*>Bzjyl=!sL4`P6SidDg+122RSYKSNAZLfg*A!DVcj$;_`rPBhz)g8*x>= zY%-i6sob-}2a7g;EHCe#kCM+b89S*4+H^qd2XsdsZgFPlT-uZLF9@an%2)tD+wsW- zEjKNfAUFkl1w>l6R_>0h#3YYRx&IZoi{CgbU{ZA9vd%MlINB8!!0H|;>T{ljvFWOM zaDj^lkhatfl5bz+1>$80BG;?<{2zh@0%-7zcUJtVIgtX%{G`rg$j%4jMj2=E|jyn%xqUplaQJb}Cy@@1C67FHV>W-4?W+T84P( zYw+uq9h{?M;?`bo z3!}*=c^6z`!64>gd9AAqH(L3tqpBR{ zyt&Q0z0jZqvLT{TIZR4C<{MQAHGS|j36SmOEGPUxbs(w%5ISOfcM3nsPdY|nWd%qj zR!|DE3s~g<9QY?YgDf9qXZ4G*xeliFP!M0fD}i}8eTM`D(ZlftXk23HqF>5dCIVx4 zo0p#&a*#l{#vrXwgasB-37ug@uLlHfGs+e3$otS+ui2jlZd=JRg7&C((7N|84OiKXOEZM(FU)Uc zgijq$wT|!sFZ*{2gOlxyxc>&_**!iBl}kF5AXHRTEgc=cU@)uc9EDtGe}8-RTqpqK zF9p(IMK3@bhi^X#Oy!(UkOMA&k#q&j{lpzhGcYl(xl|kdGmnjd{9O;CFa7BKi??f* zhY-b=&PNayeh0n@0rz*XmgQbsW4IxkpP0BySXh`o<7n~U%DlO!o*I1dbwI5Y6_2Ta zjMLK1uaa^VFl_K10GD*<+s}uu*cj7!dggHKI45wpleHdbHlL){nS6D*dF&n?%;^t9 zx|zj^^+O&8t0`oP%?$!CAD@KS-*&K;xj1%jQfBL^ zz$RNlgH*aDOPCTe9G`|dC{R@0Pb;&EDH7z`AgB~C{Hx~@*4BaD3YB+&+Zg)Ka0cKI z^V^Aor8dHyf=K)O?5ojF%}3OMiHAC_{CqI9sMCjH622ku zCcvfg39rFC9@u|S=3|`=fl@U%((I0i@lB_pJ6vle-9!@(aX+{ep8p5-Mg?$n02y2| zur>leApr9)I!A#y0p&Fq@OjF@8lcU%eMPbIvTNwLu872vugA;B13?D-ZWTR8-UtIRu;r?kN37U+lTUk|AyGC(wB`JD$$%m`m$PSgI& zqz!<%c9?7oUvRRa^K?z8avcCIuR{d9G>Ym!2CC z#!Tu;6>Y!-R4@P{8G8${)9xbM$x?qxgk(NRQ~Rav>rTzwhWdhh{`u!mp6NR&lAFbxbwzBRje^g5PaOXm&P5QB?UHe0sND3VWn%x<+ z)&v8}LSssws_pazUe@z9qHx2PM$PLQ8|w+8%s& z5tr>xHdHIkUNvp{NZ1R7o4KLe$tQlLt~9uw%v-?y;VFJpRP;wZ0AZi(TE*Rg+N{&E>!| zQ_I{$L4fb$1e)Y5p zJz?3V7GG6I=j(n))YUMZTlhwF*AfYpQv{SbOyyo0$~ua^YNmwRCMxG`6-URP!9rO9)4W0 zh4mywuZqxru3n9P!D0NC^GX^)$lc?{-sU)0E|? z$Z@CtI(hS<+b?hCdjpeI3;G`C6(Jj5+3bWd0r&2+=Q+1&MPt_2_%RB>Jy@L84R2v5 zJ4g1b8T0v1VoT{NM2&)YV=g;Icv_~j318Cqk@@R32^_-i_z5o$@H-tDZ%OzqM^4`o zCbK$~irxh4`E-qq=`X*#7InFG&am3P7prCBpj<$E!VuD^Mbq1I@GR4xO=$R_z>9(50B#@@h%OI!{IKc{j)#0bW!$)NZdSW6 zwr%^a$q?EdyXF<09?`1mcpamX@x09`?|c}W?e(+Xqf(npKQg*&-sohJESxsQ_f>C` zCiVh0rV3IQ0IZU32JArh4k=rnnEvYD{meyAEDA7lkW+cy-dNu-NM@%Ptz9vZLz8SkjBz3 zyUA1Vg%xS<74-Qw_suB0@QawxUxZ7wgFO9mQ(!-0s*_^3N9Ktpd1$IESQpoGwZ z?pJR6;m!LS?7bT;{G7=uOcqt5BNWZM@NPSQg52V1q1m44verA7Bszfp^D1$_eaDlX zaA#0hA%ES6bN#`fBLT1<{HDk_!6V}&-0zb(_8NJf0|~CPj+T7zi?TJC6a<2j zj+2ZuJaR!bHLCE)b4*KbC@KH6Tf4)!<4hp+SpEc&dXxi27{~k>W_0Qtf-NtWiyBdn zq=-H}!F^>%*iEx!k91VDo@>sBh7@S?;|(Hd#=#`4)po0jL341h+X(2H@taP) zyByC`x`>A>p!H#Kmq&jQw)k+nPG<+CCF>6NQN~wW-V}Tq0)Z^I6DG8@rI~waJsi0p zj;UxdJ`VR_sfJjT5%Qs^A^hr8c0!#$?SSc!2s*G~>J8W7cY<9#aw=~gJFBUwnXKR6 z-yZ^^xqO3+BREmG#;`MM2p)jF^YFxnDoxJ#>O;)B^E_&z!#K_2J=d@4rp&Bepq1P4 zXQGzYIq{T^FjK%9;zWTTHD7*FP#;&xa$4H9nVf@~+#>^&p}#+(`^@Zwk@VPv_3lYY zyTLBC3k*F!_lE*>?~Bt_RJKptahja`oY$`f_iy?j{A*IKLA2_tk>x-;&N-UF-s)YL zvfIz+CyF?`9{TOO&5&sXJ&%>oD47e$uE9D^{o`xnsh)xD)B5`Q&OD)5G1Br~rK>hZ zoB11t7=`=6dpz@8g=Y)Q&PQmfhAr0=?E!_K-O4g6rpyxa#l0#-)3brZFSz_I=sWL< z^L(e}k&{Wto12+I^68fDZhv49UzcK{w|YfKDqx%+;3@Th#7r)iea%NRqiPms=~bDr zh7+@ToGY!Z&@Tb4hUl2Z6D@X@wm?=x3oRsG)~ue*z;Ts9HIG(#=AaA z?d;1NFf9*B*GSWgpYUvj6h+BSI}VnsN7n9lWEci6jx~>!%!2qJ$MFzfEAMq?N&L$^ ze3vJUsm#YR%V+ar(l#~W`uS49N6#MmI0$zFAIMUPt!{sGBrokmT<(Xx`y^QF-C$_J z7bzSWGYr0%Cr+Qf)>>5p^oF32kfxyzw~hHVSPtn6ico({ZQHihFpOS_Th%q0>+Fcz zJ`6d1Ay8nKi!sfJU$YP7lAVH;UdyVc+XDS_L+_N}AV&NZ+*Q(NgqbRjkf0*n-o7Pf1TNRXj(ExhONp{fdm5&K<&ay zhTyq8+xJHx*ODepc+G+XA+RlAK2bj5!0i4IHlvMCPyb>$rTnyXAY^E0E~c_4JRala zDqpzEv*!!>1$YqOE>b=&?TjCv+%w#oSFngwV(k2E9RU>VQR$b{jK!W)S0? z2}6EpLnKK39GsjIV9#Q2ZPXWaP9udxrf?B8JZ)%9?S+)~p=bLfAot1<2dt^G;pOkA|zFl2$$lGzAq?%kdBcAXf;j zW@Fz|zxY(<&r=dyyM33g7ET zhD>C7>!(z&TS9t+KtlB~My>e~W8d#v+N}PG>xDi2W~y+8Bt*whkmS=>AlU-*O$8`F zzyQX@#U;ybL>0w;E-o$@qlvEKp&nCC5ZhkfV6j`OlQ=4lA^s9R{A=;OfSKr?41+15&5V zgng*&3hVmD2Jn*aAQP%j$C?+qHC^BrN3?PT-qNiZo94<7SWA(T#aYSHt?@_2 zz4GLk`Ls`F5RQgkuU@NhlC#2}*-_<0CBFN)K6C3+7YIv+5APLK(ga4_AcJ>ec}IL; zSPoLj@39giQHY`S%uam4>fcCfV_c|q76#5@tC`*e?cZJqOr1~Zv3XKnMyI?umtMbz zb8gRY1CJR7lR#p*p2Zbg&_j|E9QzW&{j0S7_OFwL#z9Qo>3$ndDL}nM!KuJWg%IrL z-^)~r4l)mD#>k=Mnvx%{@HRH|i?SJ<6p!@Ot$pFV5JBhR_>fcSeNn?)|IKR1s#;Tj zC6YufNaC<=aLF;2jf2CxbE$Oc72~B{~7%V#F zVl&5cAP6kl3-TR}pd*#{92Mh!Zn=#VPP5w&pQWv0b=Mc{WvR@nbA5_ z+Nj}nuY}1()*FH&eIpkH{gW0=s18T9(ZlJk=a05fKpy`dS8SpARub6H@q5Fa zUfP`6DR`fuadHA77(Vg^bE*)2A1(WpvxdlWRh8Y?gYoJ+I+Wui{e8(q`cHep7wHPe z1Y$3wSet%2NzBVH+_PY84Y|u1-h-Zsz(+bynam6g={flN_cxz$peoYZzzV&A6KpO5 zk4O3xH)o%qjyP=IKlCTQPI@Nm#@Z!#oqUn<@Yzs_GgO@Mdh%)kwhRwLwGT*vIWt>0 zUUWwmJ0kDG5kRVQW*_0Fab}G`UI*SWwXsqAr_WYAJl-H2MpeZMStwLi;{U!0&gra7Rd~w~m?CsVWALG|f zFh9fp$T#-{EEn6iodGhl;eY3O-FnAYi9Z4kFa=Fs) zZ)qL0HcT)MrG2+?214qBIYc38c1Ss+YR(4bnjUNwZK6K(x|tCp9gep@i=WB9?OAXXfatGBW0zT>6NaXQuVIK^%)`QE^g6p4o1+qDdvW6)tHmRAGPao zZFuVhh_5n}+J2w)s#Cv!B@G{51F?nMbJI@e>Ic`CJv}}6F0)X@7l$Yhfa&@Paq+M< z$8^eFq+rN0zp)i5EiJ53m-u97%^Wjv98pZ_te74w9`aUG|TaRPGE2s&}5ok=qT|PELx4w|QmCX0gY1HMCoauafr% zq1N1!HHZvz?Dn46!nTl5&mT0Y5r!P7lGoxNJqCSSEKP>-!AN(}mEggi0qM|sT~zSl zoY+cN%I@eCL24fD=+WJeipnLPAI-Af++FJ?(sE9DWE#@M7+_T&Pc;txkfi6fTS2Je zXWpQYYJ793p~9SKCMo9Hv7EsuW5YmNoA*cHO2%=l)InC@HIh6@a{zOmbXMP{+8tWh z;n9Z}bk>st_Mr~8V_>YT3(VIs2vTl1sk$lTrIak<_8rzG%4cSD#Hre@+m+Z|wI z5;SKR%&Ai+??yl+RSjPfEgPmvIjHZ3Akx)33H;mu4(qIhj?81x_Jn17iHdh)5^a{& zhhC62zYQ4tFs4N53*bQNHP$Tq8%);M?+;5nfMV8C@k5u_?873vUtj5A+YwpLx(7IB zSS)YR3zOqK4Gp75OCWX@xx2&C_gA@k1yH0}S_3>Bm>D#pY(rTomm6M^p&I)7u)t~e zvI;|l7JcTudQSm4rka_Jq~Qj9eSNQc#wt@?J@lgL`3`4=e{Au-0~n`Q^gH&QP&woT zy}A&|phWq0&5Rmsri&e+0i1m}Iq%a*(_2zrW4#aFkN$V&O;8BM9RT}vpr8Nf>{8LU3{+ z;$q4GI|MErY^f)7jsoAt0bCILGne_&<<-At;b48p;V(e5xh?>3V#4^@#uAC!tV$>nYD{_W+V{H zeUr#Pi%Vw@mE86yg@;6Mi2ecq0T5*xIY=pPwu-Jpq4BuC-$({u#gG=?7Qb8{?u&r^ zk;!wMnE4OsjsWau`lbfVRExVlrITFV5G-_g;_ReMj`>lz)KyyjSlT8>DaGtKMumbXH=#IIihst)@<8;X5W_X2Be( zOJORx;y`zH4obV|(_C_{p=38sci$8fLr0pPDPhe^E&`xE%UL&Z%(Xm;KNrlpL92zx+d;gY*THQCXMYZzT@OueQ1cm396OQpC-A)MieSn z=(wm39CmkyObGy`td#<;Kg=oK$8@~$ID%4*9tmSG&I9@aEAH-G9paMT+{E;AC9DPrz7L<_3^GE!tw^f#ZSt6i|U$ zppqgfE^6MPGlFt~f|gqu*1#2nUJ|!3dej)|$9={xP6AStlX%AAU-h$hPkwZ!bODVrt~Vw|TsXWtMwSbKu7k7y zgaYWQa5sm6N57sJ+!766y~$yAQ!u7Hif8cqHaB^W8jxcdkF{2qu+_Y}hQNY*gm*>7 z6bZW(wRRb;8!|#n%a?+KV0r+kkc!}jnt%rEkr0&c5PJ|2h(9CCJ| zvoX3R8d1b4PC_k&*<&C=mD|2o`TH zfV5LRzWWrx7oZd;&&#?gB|B)G0WmcLz_ZALPSF}v9oe%mU@%cC6)AHMZuW4U_E_{o zEiktwG2sK$k(!u?-`E0-xTYqUqou9wWkDzci9Q^3aHEu+DY`&&v1mh)blUY45W8__! z1aR?5d>`3?&DO2?2%m29SEXZ&r>;NMF8^gdiLEhnWj7ubvzWREq$t^K82r&Mx#Y z5F4vumKC|W2?j?eBqgy|QZz0(8^gVI9*^^zA5REvs_(v_f(UyhA=ZiMgsUFw@QWK_G+C+CuLnI z8$KSkbPknM@KjBDXyNbWi-1%)*kpz4|*lC9EVh?^;!JKt{`Tr629pG5L@B6P6A~P$Q z8D%Fcgp9KHD!Z(N$V_Hlk%~}c&&-Tuh3t`)T`603R>VIpTSr z_kQmCy3gx8&+EFs9l%Q!N({pa&72j!M+{`qYR#Kv!Ez&Z?`1~(vQfw2wolz)N@Gn^ zM!sqvbn=Ju$<|t#l8f}0ehs}x`Wt@#@#9h<{n@j)C}Lt_)!jo#WMj*{p4;*z?j(|u z`fQyYRRz`c8)$Y%zf7N6sdzHI&a_!w!UX|kb-`cUu*W{~U#a#DPc?*+P$Uwf@1Z|) z#%Xo@Drf~bk!)6vYoYcH^$EQs!|Y#EBL(jeAt`{Ws5ck5S1Ex)_&iAS*Y}vNK2>La zS(kn^(;S}UOM}uhy4^5VT3A2g;pBEkt^3Uch=nKCe&=bS{7p&i9ZM$Gx5WRlx8xDg zut;$bz7XIK6x9X;S%E?gJBot3=``2F0(|8y=)yq@SpHyZEF2W11aY^MFo!XOCY+M3 zTKe(byLY$T$3Qto*R|0UOeTjL*JW!sTshq5)HmNU^Bi}z-3@1X)n+RL+6H>n*bg@p z8<=d!1`(iPCA^;iqs`jKs>G8rJq8k}vcm%Dl?^i3{*rSH5iSFG1V?{_IhXyXTbiTa|$9#D3mE*)cb zID!*uMj0F&9Nv2?_vHqpBK-B)V`-&+OV0whrDJKOkIgDzR{i>FppEQmFxVwT2kCmg z|7yx#>`X90fJuoz&v$<*lj~t;u~4q=?$)MXA(nuE;Ogo+4vaJSOs&KjUKt?@OSoy% z(Su3ePsRQtnXO5+8{?qN)&t24_Q36~JS~K&Y0n1v`%Wp6rLRSh-rU|npic?vVoFTi z;${P!b_P@6LE$|+J4DEV)Ad4-PxA1HnMdoY9~3^D0Kdglz6u1(hs%bKY8}i1G18t6 zC%TS%_O{q4LlgZ8Q;=Ac`_*^W^4S#L-1&~*E(I6cD0^yK>`qC^lf}?m{ ziRaki?5BEQ-UYNpaz0M*s>mPxSJoHN4?}FyWB3?65$(vN^xk_oyViHd&F$ua znh26Xd$0PyzNO;<`xa+1;e>%rD+{`^V}JRSK5YGzrF=dg!jTgu%FOWM`xNmbptMziZ68o-JneNZ*DgORKobtd-VWT^!cXEI*=PZ zrK+Xi(R%k~69PZ99Y~$K6vJoI04-sZcdy8$YASX24~t3D%C;Vf2TPj*dKlToqWJ@) zp#F#@_j;QmcT4(7-#=hBIs~(kvs=v0-W3jDj^6EF!_ZZ%H-FLg*tE%!Ucp6q{(9FM zD)klKA5sLL9Dc5s=Sj0Au$Ui1R-|`0Eb*MaZEm-l<+s?x#kdSosVPaaIQ`bemGS!v(1K?QHV0b}2^1baM7$){2R{A#l(H#%AGi_HvTha-q{GpMatSz)ewE>^ zw+7AhFyY@8`wmQS{QtxRvvR4fKe-KH3p_92Yq(x%R12M(S7KppAy$WPWe)VvmO=1t z?G{r1iD=RzRUThPIbU_Z>A+0e)%e4UD4E7CSjR@A9fNmVeK5(J+2uk=jp*3D_etob z++uLtxj8Yft9SE`REnsuFc#{sOT$w#i7@axBnEI~Ao^f$3ry*q%IpUK@(e$EZDzc3 zfi9orKdwxT1FV87!8s&JWlCeaNo5+5#v0-j+Z~wg(zw4up&9${2kM5~Ht5Ws{9VRMkq7HX8 zjU2ev+p;5@C$UHPgVsRoggt3&&gkKL^87CK>hh$!TM(;4Y-fZRda@efu=qWP`1p8; zS3sdfJnDwmb*I)Z&Pd7+dkmT6lXSq67qeS?-|oIS{NSMj*eG7{fao~JR8N{jSWlz- zaOj?)bsY%&jt|3Q8EBBP5xNWazJBeR)7qp0^!2t=?v@6|0b0Gj{<9(qiP2K|o8RQJ z<22pI^&X71C_e#0C2YhMS>lt!C<23zeOh6BdhEJ$8fQpHx**E@iBb5H(b?^}e;K;u zg{p)S)nR!+>HMRDf`Y}z8$fFyLM;gLNm>0`?4Elg&fa@fv(5`|y_U?~J~Hgp)R3&0 z8R*SKX}zJ49Ulx31KcIBp-zDsFIhw^d*6m_1AFVtk@btkv*w*II>B#HO{~vN&+S(f|>X{X>&uMB<;sS~@q^aOY!^v?;-4>PkZ6c{?pA8!>DV%=wG&I{;58<}#x?%3Kj0O$`8{b8h*;2f#Y&>}SH; zJ@;#ao%Vz8UDZNmHToC&JP?*DEe#8-w$*NwqSKI~Y$CF0VZmiqsxw*4uekS~Qf2r! zyb;}CpLvT%*;6>ZwFjs3w);H0p#}N+s~ORQ^zA>$Or?T7uz#duRhr50`5Aa*CEUi7 zzT4geA8QHE<$U&QY}rC`cEc7-vM&Gh>M`5SZ=H&E;d1PxX+84tMvZivV4((hg{R`p zZal?^HymgF6BWIpR#RAy1|j^*aMQgRWQ?^Q@P6|*{R9K*e7L`JpDEBp3PM}W%`oncmTg}owe0n!D$sXyrj!iKq3T@5rcEfAYZ_Iwv21I_%ev3G$w|9y_4E!>I?C)PSPY2ML(Y1mz=-3|noKYe! zq2d6C`gqq&3r*YcXC%ON0`?k^6B0q@-UF5gyqlzc?LBX-?&<+kb&%gdEe&}%w?M4x z_M-HSAbwwvQ_d%oVcVF6V@LxNEsxl$L=24bxK~u4VuK+K(%RF(5VN%h5)~@BTXeeI zf;&&-V8R&10Bn9xy#UI5D&O(f!Gid3QNvASSv>GL57QJY!S5Uvs^|ur_sne)A-^V) z_fPzwE*HED_wR_OtiT!rRU7dxK&5oyUUm0uBV@9(6P7|otW$!FM}=2i54Ii7pVXWd z8eb%R+rlXVjPo?cWc%>Z_R?kWCbkjS?}acVAHIf7LxKkhM%lmN*3cXR+>~lN58y0L zIFkCZBzadR&EB=urIp0i={&pf@9ryt-Uk7L+3wEYMXdhiyHzlGmj#Ba;{-<2q&Xk} zc|REpAX37Eve$O4O|{OBvkAptYn|MlZRJnd+Q~yfYhs@57K1O7;Hd_}FPE(*3edKvf%oDe@GV&Q|A#2 zgvZa_BO&}pH?F*;)|XYHVl-Ior;*)meoEd%37%@weBtyrZBKSzwH)UHA-1~^9q-!N z2?zz4;t0kTd@>=|UjsRFWmoT9)fyaZ(&9$?WDEfMA3+rCX zu{QW8TT1@zm!;1Zb@H&A^4{cFtsnUs+J7jcG3MwkqXg(g1{UNf8A#k8Sf52!yP?dI zmDz^@|1ThuRCjk;V1`(T7nn35ldJgt5Cf+`0!I1I%vghmXkb9q*WiJ<`FLej-<`w# z!%Y;zvz~Yil0m#`Hj?mjKV?Q z+W-#cg8up6xi*mdY0_!P=}oKFv0hrz zi_zdQBIS)42N(K15FX|u*678vBk!Ns>NPKJChFVNj}{g*XKq4VsFN^=66>XG%J~XOoY$42 zO?P@k8q_0EUq$$ewC1a@|3EJr#_+6+@;k6^ruX+)g57ehe`T`jXhz|D0vhnoQ4syw zS3hl1C~DyKI_FD=_^N03S}}1MM$vi98b4b9?rtG+OV+f=JHDZNw=|#h<7G`gFF)rw z7vUndm&=4IaxBH!tF0kf)OT_Fev9URW`y1Fk$c2FM7UGqCtPF%kOAIubv=zdAj7!+>)>uo>(}qON8R>_Ac-)u12OS{2)=IKFcuo+gfK606Q61IAKBV zVC&$}yj6R2aG%lTD$(`Gx&5&~&)-=qG6Z!?f|GtyMQ6IUoM0?6&tvl+@Pz{8G-d#G zlt1sw?dwsLOf}8NI-$J$WyCNFjWvOXL83QkAe6o%D;U2$hCX~%=#4kFH@emC)E=}H zG)6qd#CRn<@7#jjTMdW&MuQ_SVPm~&m1;vmmen6F@Fhg~^I|$pNEm90h5{and@~mi zz^EeRCMw5T5u*2lwV>Vx&@=*mpq3DL;0fTLDwfKA%&fd1GGu;ThlsWBYZ*_VAg+Vx zS4r}`Tt8;VQdhmu?Aeqj$ccQ%brKq5({*JM_CP^HSv(Si$pAkCjh#|n?$O@OB;ihs z$kSdMb7zz6)&$~RD+Fl&Ln%%3;GL)6;#W8j9r1l(D++ZDr)cS%yZ7#G5;6N@Fd+XG zHXuGU&@*wr*TMdD`}S=Y&$Q-d`!7>RThF%|EC(#|TeX&_G-Hh!R3<@<<*!Lw7W_Kz zUnOd|7W6PN+j)&%1X;N9I$-TIH8JtxE^VEP4UFP3W%AUp`bCtnGfN7FCKr|jNveRi z03Mdg4U2B)QF2Gy?iNyGW_@wbhCwfQgnpJ=fJxJuRSQpgPmfmm$c^@01?1b&gB+ll zO?(Kz5c*Ip0wZlg5CClmZb45A9j`+e+y2~2N^&v{f{mK9E#XO|ET^>sKg^yucQZb5 zyUxxfRs#dsGkjpbfkQu#v*VET-&Opnlmzg}h&u+DmvvY1w4kg18{0YT0CV2$6rg zR8407n@bhUQIFWrWYbbj_Fz&)@GwZ0NurVkpf-Klido0XR!qsckC6z^#>*4)7$PHmQ%B)7 zC@;NI^r81L_&EGK>W}eY$*S(H&wbucAF>d!Cs201>Gg+gn{eX8A;D?97i{BUq&MFA zJjLm-qyA+^iVUed)f2M-N?zI2kbh-d5xQm`;CF$HYjS3~+tEDgU3{ zo8@o+D~}gq>wFu24i{WBE?MV5u=^W)7Km-3Y6%QO$FPny7X@}GqSqjn&kUXin$_7# zcf_iu$B41!3L!V_+!37=`@+z)2ocXE??yw` za`DuZ$2W_MF2_Mn>kaZPm`5uUWS|!2!0#Cr>e-2u`9{dCU{x;tU6rrGuo4xg9{VUs zIt!xB5*dQYAoO6CT$eiNywg&Qm;kCqjw2p%4Nq1OLFb%iVay0R&)hO9^2x&y<(WFp zxmoj}#;ou4e=-1$SRH}^5OU48H4%T8RS6VfDV~F3v(cDy+r3b1b`Cyr_Z0@d@aA=4 zYK-7RyIyAE?80`u?hCuA7IddZ(VjU2z4;{&?hp3YfdMqgLc}0JuKQ`G(E+%I$8V+N zl%rkC`}nKl?k18(_v7=tU@K5XP#fz_0$5R1RaNgmR|jB%6s8>RL4)1x17D=|CJ3d- z?6tFN07puh<47pTGp}|AJb2OtE(R!jX=?pql=}73aY*K6gY^!L zNjz8U@iDHwuLv>*MfS>-D^OZQgfa&kB`jS;6o>U}7&b+rHuPVJnoD5W+y9qkk2Nhw z5yCuF1c0#)g~*;$Eze_}lFGn%cviyQz9#ItZgHvy0EWT@1CQAFXB1GXcIrQrs)5QS z2oW4IRl>r>r6s%+{jZ#jdzHFR_`=zo(?p@qDGeTK&aLj_a}n=DfDh__C+kgO7$naA zk&#nMkw5@tD)~XJRM$#CNGL7QC(nf;vLp$HfVU*ptqe@X=6m{_3wG4QOo+J{T-dVx zgejGkUJZ-zhES&qKxm)YP?gsq2Mio#_IPze#iD8O?o5SSB2t(3_NE2T$^^39Lb7?_ zGx?1xUTnEQ)d^6q_QMsEm7{rU!pvh zQcByNY_15qh(MVkTz4c=M1_QqzS7Y7yM35<<=3xH)qBz)ej|zgk00@O96YKTvy4;@_2< zEe2C+dD#)MA%e~X;Hl#1a1Sdxf9Y7Ul)HW%A7&h)b|YKeK#q=;lrXQ*|Hu;Hs0_y) zp1X#;J^6LT{`pj3SP&OC5Q8tbc9By8R<_c!vN$gZIR1O_1UL1*CHOzQYA~0CU@0PM z5ZPxe#5YJU>ez{1FM)0dJQji%qpB%R%T&(9UL5d zt8kvmSR6oXnlSx8e_c~-{I9mLo!2;BOz#@)Z((Qws0)SpfoS@Ou?tyn*REab`TqT+ zQe+Qw0-hKGW*7`l69M>)=NpxjxJN5q)~zKm`#w|$^ZbACisf=+DjMLCkn)&&wzf#s z1e_%G>Vwhf&`@mbC{h)Ph)~~0vFeuGUAoSw{bLZD_s}B1nsY_0{oDH=Npub7JA9zE zEL=Bn+1|c&2OhcNjU6eFO*jX=GW6AvL(8IIeirY>^MPP(3z%5T9m1cXzSe&^olEFJ#j)5h2N0ER8A~po1pAe94 z3i;(h&jz@t&%-jAhdP~UDeSHYj{**a+SMskz(72=s8h*RtpQy4n4(Ca>a1Ws0ku{S zeNv!Nb?${LM^Kk(>xeIIG8SUi0<81o&Y?2_7O2Iu4*J98Lr@hIcX;|Z%Tng)=i1Zgu zxa`7lkIWc6ZUE|qe7347q@8ELt%-;wF*}17;jd!5EAB#<*Cvd3{%)c2>`0N8IreTT zXx=-Z$Gutxu(t6x zUbvGx>Me>iZ1`Nwh=Za%C9{70*Y-y1S*P!RLA31zfJ5zFq-j7w7&{;#G>sV$ri-o+Sl@0pd{iH(_!sEyP3VWO1s2fp-s?<> z>*W{9m8tNqh65qq10E4DQ@R_*;y<2kK@HG2nq*uLvoxRhQ}C8HKu5rgtgw zX&{&8fn2&MaLak~D9T7bzNhaOdiKO$(3RGFy&ua*{9$2hOUn$flY0NnVUq?ccx#{#1#ajH|_BaN9pCkn)fyfX+! zDf-_)30oTvB#qv3x}*!b#fNJ+ zpaOEBXLrwOo|cL9ha!{aKfEM7dA+Vt$YFTkC(uMFF;y9}Pq1?EQAkUUZF>TZ+S5oq z`*PXVYox@etK<3fm9v8747Xx7LDs$u zJenSy02G+j06W5{K_gwW<#W7-)=?yWhx1&t&nX;@Y-awZU}K}0l&w8rnd_HiLuKaLyAAcnGVOo}Nxi zPv4jxE)@!FnD;cd*@Z1JpawKq^4_ ze{wj-uO}_1-xY5Jnn{3ujx<*-ui4~HfIbBQGR*6X5XeE^Z$fNQi2W1%*GS>$Sis-0 zIN9Th$AE%z2v`N7ptQrd-R`r27>t}^nz4~9tIidHvr7aRf32e zflRzN{W=S}uC7kzLpX*%hj(xeO2U_635$rdxVs;Jc%LMs zCq7bUZ4>*DiY2G_|GkA;GTZ`;$;u?d08?FDp?NTJrOo%dKCOcGw@B%$O*i9PpnD;Y zhEy5v`cG045@3~GlQfV+T_MNwl)r^-;Ef&QQ%997!;HN@WDUNUH-s<|fVS$Y_6EgT zFbR6E!e#3mK@||e>|~`nUaT=5N?P%Yk|0dOTSSO&yhwT7_ga20^5PNN8f^SX6M|#% zzo(~Xmhf*#WG|-O? z`+n#e7@qFRH_3hs= zwZ=11$9L#Tk{2|h>Sh=fVNBkCkat0%gx7@5YytZj(Oa$pH=?xWgP(0tw)gG@!!BHU zbUBg@v27zoWVw2I?XC^6IZa=PFf$^VsYR1FGQCWs>im>X1Gj!st3*jPBA4ftQg1F=5SH7&`9dA8n+N%$_)7b6Vl z!Z|qnMy;=z5@;ASpYl54oZsh)=i}r=hQvgmW&s?*8`oU@00n`Q!0kfy)xKo%{TZ$` z2?@-U6S^Wxu-)*<=yr5LsK&J{oxI7|R0qdRtEwQqwd2kO{xuJ`98q=Pq|MquT*F8a zJ!1c#F=o8`1>rC;k7Q!T6OkV}yG$L<$>}$0(Kbq@QJ%w}gT3)Kw7U|)3XaZzOnGxy zeZkkMnti+;{cC z&>1+GXiJ9LhBpQKRg)dV6!z99oa4^GwjI-<_xs1`s{4LW+5im?tT?V?K8*F$nef@S z7gf}>YA5j{fB)>RvY&68&rw>50oQ{r8{hbw9 ztoffVth^Gd_D3eZ;?vU#=4>I=!qzc93k7R!v>Truuj*QP$I=(Y(KeM9K<)Gl_nd_L zFW_+Si(s@74@uuFxF8T<2-fIF6Z=p(1Mbtrjwz%bh`d)aw5e}!)job#Pa0XeD`jSv zu712JTbii12I&vkGwefxaU!Dab24loX=_d@S6qNN{1MJk1|mj(EQ^O`&f-G4^8RPc z%hP)E0z!$*p~)JzRKWQ5&u;otFd_73ql*Uc3=OIHl_W1{Up>2e9oHMY(A-gMo!#~? zxC$0ij%&W5!wSNY7g^vyl4re9bK=AaPJ+GX;vOwKHu9|OTSF!u+;hMA#> z_!27b1N$f4=0<=1$dl9L=8{r7>s}1w#n^lj<7G-tL#U|CsM-DAjo>zLivH6HVoNkJ zXZ3i}?m-_KJDF1x^B<9DFfoTjgQ2R)d6}9{yw}f&C*PcZ!$pD;iSiPzv+8*492_); ziakbXaPZ}&yDQ-mNFxzo`D4hiQ_ufi4mDHKYbFY6IAgQiBeH1~lbBj`x<5Dc$M3+3 zn{>0S-XeE)Np^2(J@Gh){8otatCxc;4)b3&T;sjiM0VDx&uJPYI%t_i=Z4bLom8RF z2-Q`Pq;Gku-`wT@qii*A@>n>=O!~C;b7=7twUG-+r+%KhYF_+1g$=9p^AnHeJbNPk z)1TSd2cK)&=^3Az(&l)%PR~5u2>rN_t3O&XS8uK3vPW~_wtT&&t?--g{VrTnD!H^L zRho0R8=C(9+*fw=8SG0qKUxN4q|U@ua}`ASf6pCGby(;i;g++w(5JU{H@NH_SB(JD zsS7TxBv0+}Tz-$jiZkuEpR^^H$8r{i(r*w4y)oBIK$^0_MSX!~KqmX~>ORC$S8?+@ zddod!u6hXpMW^3}>aYM)k6ce>cp_?Bco^EJ+S-ym3@XWILn8^_x`$({n3K9JJsQtnKRYHUNPf zmn0&70HogWIBTVZ(o03nk4(NpoKDS!`pq~I5Q7#Xa?rE-Exa5j8ninzxRznYzvEJO zv8~75cyH5v3+xMETF_$u&KHAe?4G3&39_f=BY zR$S*KK-JKy?XcimdP{;X3MRWeye8dqhJCCY&TU+He$(K(4;DK z&d8gDXZp#g-tRN8ok;=gTuiA?|b;cbf03Wf03%BipB+th0KX_06 z0Ov>F-7eL)p)nZ)xfLvK1_^r3eTXvfKWn=fwyZ=k<8iP_%}l|zqWSNIw`|h}&Hbsv zR=3^CbT8$ERxK^G!c8!0N)Q>4XF9&4OYR73^%tGre1Qaj53nAkw45T#n=|yAT~qThTc0&cRk;|Wt=p;+(~^(!Tfm$gadfA8?cC8Yw1Z+HJOOieF~R|D8s2F!=~Xk zZ32jrxv>w*Q3V@U}{SllI zBrlI!$|XhJ4(KF!?Oo5$ZXiYakmzU^G;CqT%tMtoi78b5|7R?&`G%~u!UxK^T#Op( zht>VLk5^m~IGS2^vS*Q&KqaCebdS|vI^opx+fYh9k}iB#nSA>d=$VJKSOd~#{c&q) zNl8k2Iu0bE(-P1E^S!e?S+#D{*dq^6Dg!A5w=dFWWo|VD}kQC&SDt-c3ZzX3+fW$2~Y$R@J z-`6uv9=(vn)bikZa<(APYk%K-qnGXDGZr}#9+5Y@x# ztE4F6{C<7V$r!kO2{dF)??{9(* zgMuotMo=riyuA^4&v!k3-K|=w6jU&m`Q&6rTDK$$~jZBfUh)#zz{mJD7CuQDW7pkFHZ9emGOvVk^_<+TS( z#g8|rxb@AOL#fz5s(}L@li>B{Ih0KhpnN5Vl87zdb}@;Z?8 z@SXIz`_3O=>l6?@#~EN+J4=V%YK{9Nuk+$N>l`@0Wj#$w(Qo+b>@AO{n~(`SME{OT z$KvMa<3zq)4#|=}>PSi`_=us-!MGwVe0cAjyEB2)po5N!y9#N{ooRlwwzG2KZNqPAXgIs4AE)gT#kO@SZ8U@%%dm7 zGESOxbKnLQXWHeoC;l~1RSN~?NR9cyVYONR;--$TG-EjDB{9S{kgZLaN@Ck_YQjKU zZ>NiG9>FVlo)+CHs+z17icX=DYjxH z8Yu{x_Yo2mO$Uqqt*vyJx4n}u6|DiJJ1k7C0R(yd;*OdI{%;tiPr06LX>0Z<cd4~puyE{;W4=}NcDhl5-hCcgjK7@$AarU0T}RlV3c&B zieB?#?)pmT4+I3kGiUFk$uuJgKdqhr`OR~o_59Cmv7erY8_G`~60(g9%m(x7!wjl& zU*g&#M^-^Z2>U?QWK664sNuvP;E3H^+wY~SW=gPn zVPJE1VA}1Cgpn)GGXO5s{Av4(vVf>mC$<|6KfI4rKN3NA-{ zdk+2PC(0~n{})j&ZujmpGtvhqgisyg5Xd|}j6*rfYYVavo?}ybG?WoMlpWXze`f?Y zXCK=3sO-Dk#6IDQfX!9N!i3P(0S=Hd9Iis_chi)sP*K)v8I*CnwEnbHTkRO4rnI-` zifLUyr&&Jo5Zp5L;BNvHzY(zNelPdBP7kyJPya< zsstMNfMM(GCTSAhC>u1p7{u-%Z-P=;Fg7lfF|jAkw3^){#sEtrQ`VE>noL&UQ1*#? zRZ65P>SUsGZkMFqhd^BR4N*iXv!R+;1$@T~=xWEBk3Wvflr6g8aTeEzhC9F_2#RdR(# zZuK?VzJ8!mso28O5Kzs`*Rar`*u)`u&#;^@vR5*F%;h2mo~MPfaAThfuqUXU)LD6s z-wG6htqf+@GF-ss0X(3pKM=lNk~`_{=7j7tK{*nQQ(RD-Nybx4Y*q@zgKkoCb-c9@rjYATYu^o>Xw%0_%s&}9BAo8R!+}Bj zy40y_`$%$*ZGa<_`l|AuB-PxiOjnkmiQ;??%*%|13KQ7pAV-jo(*9{_$}Z`{FG&|p zeMm%-gXM6UYPI^pe5E~61Le4aCYN`;v@T{#&%0%u=~UA`C`AH}+F zxZbU#AVl?IFY@#~vle#xp>uUOnzHG6=Hk(48?Jm0zR70aon*g@Hw3T{G7ACVety!R z62F5zq_c1dJP=63cz{(qB#_UP)Dg0fh2Cl~S&KlWoX+n2BIXiUv0L2nx!pboO%}rO z;)cacIIu}FMW2W-z$lsdMveeerlSj3h;J&fpFOtqudnPIAwPVsm zu3+kUvZ;DiZm&$Ffi8Jk|B`BLr?DV`(ZnY?|k~E7Ztk>qn#whgQ&#{Re z%{IPp-Mw?P#Y_DkC2DE;1+x@jOR8;1z@rKv@fJ{eNZaGfVL-2zq_A1JDZ;QOIqHO; zuDEtb$)Gv!J>@`5B`PYwqDYrAcXDFD#2FqtQ{nvm&vC{3cAj@68vB>#uPJ)TSqoO4 zD^25JXxh9~LBof}zR1{~_sHgEe`}yZR;AoMRlL>Qfe|NznOT9G1$$jsFJ^IaeL5qZm(o6k3w@kR@O~qpYS-%YnZB$p5@| zID@!P+3&>MM~mA0jg}vM3Bs>&=+^a1(?q=3b$-Sf@oXC3>2jPue1p>;Zu3Vfd{(1_ zT?d}+ISS+fl&G|A6&edtvtSd(#5pqR_F zcwV=8aDLwZN9JQ>)KToQuU*Zy2izaq;Fnl^@3TN(oaL)H=W~5HyFegbiy&O#w|29_e)VcdTP-^@c(C39S%)TvpI6tazqqo{kd$F-XX0Jyk50-B zQSp+?#2bmV0|c`+U%*8vi&}GbyYA`8E_oJaH%j48yj+*1AlY$-NL2KVMJb50 zoQQ>)wf@m7r=~PAWpSVf>IPAKX8h>IO#wb55*;qjS-iD39bzAS9z(j7wN6TTbP*1W zYGzC7T&C#OZy{PKD~pYAQ0vYKeJ^MveuJFgSyqFmp{48t$YawMwT=3aaM{NGi&(>; zuAiSf63aS@r9W(0#5%ZC%|j3R2r9~7k{fynK@3ZVPqLRG61Q#A-_m3Hlx>u~-om0= zvup)6`AO9?byQ;lFGBLhK83LV#_?RZemUv9_$770GZw~W*e%oCoVd<%OWKNFBoE`c z5nKypb{#&rpn}}sM1QAFym4D3Iv?SgJM^0`IV?C5l5hiv_zg?%m-zc}&xt}m*uJzc z+`r#oUbb;%?UqMA)tn&JYG=*r#!J^I78jaf7+2Bw4S_Cmy;#L2m=RABzPO(L&`5%c z9E_-q;~9x_bfYGn2*oBp%Pqj*gZqL~(^BEo@MYe)*n0b*8v55#F+&Mv2kN!e-t5GK zr3&5GTo7H_(h~RIX)&dSWB?e*kmkHlsus##e7Ezy$5Wc!o1F-)Z8j6FX~1g%8WIe& zAc9IbPvhNZjTU{)8=L#=DXYWieBwkbmDOdPJ~uC%PHW*13ANqMCf9Yx>>^@ckI=>fwPw1Au zn!FX%TN4<6s``%0QKK|FD|eEQUiwdo*!kjwGdzOk^7!ntx=%Ro75x5ZIAC`r9{+bUNLmkVag0|gp6Q%yre1{Mf+5 z0K6Dyd)9Jg*mU6qmC`Kkwg$QGKHmBHlb)4ll3u9xWZmrRx?I)3%i*RM>nP4*9Kpg` zzuz{Ovo{e!ZF@=iQr!EzHbLI`9A-x$s>3T&7tbF~41^Z%N4t{$eskgn`(V9&@7+J> zRtmEFYgfj17rv{ay7NQm7xiWCy^qq5D+LlJ{zv~jfSrkqVYtTT`Bt&8#7OJX3;pc*sAdlSBFz#ln-41hy5D|d>v|a z_(b2H*%2E_lK#fYW69IA4^^=JchFn3M?*q{reR373w24lE zvJFeuO~3lI#etN58}6}K<^ug@i(+*zY8KokPlEg6{^6%)gPfXJ$wK|lcGr>?9MT4# z)iB+n$7!*0qx=&H)1#rn^+s>ig8bL_<~Uv~U}mTX1H{ec+i>t;P?S}`gt>b%Q1ebh z{A64}veUg7Vz1%JItH?#un)CeXtT8A^71n9{1fK+PUeDKOpgC7$sHY6j@Mn+3{|}h zpI6#H+!fM)MabfB$aYWoMkd1*3fxfL#nk>hiTXmi_RRNH18ws`vYuiuPEC9*d2^0Y z=WEsUFus9bXIVPUIlAYtSw>uX%}d{Os#Jw#o~Tg$T-+19ACsnva9}bx+Mqr+Quo#( z9(k`U#hGMJ18*@+PiE)maxkd+EhFxa>*p2!$)d6pRL?8hDSQ1f_1sO`-t>4pTaupT z{BBgY(CNl4w^JTrwsD5A)8n5>r#eGr0&VVb?6~@yq<&L5HkLOl|g`3w^W9Olv3}FWgkDoX@|1 zZV9n+GIJsBOK9B@&^^n&I}E-Aw`7>cLEIPe>i2-%Yd5reRH?yiY_3o^^g2H@i+ifW z*#8MAEkHiJe6vg(KD$Jup`mI(@%0Ct<7;nauS)ijjNnV0A@Rz_dK_pJ#XCZYhW@K( z??<%1XS-S~_IoQZ%c!3>ObMq@(=w#aFhF@*fSGe}(D4KB++{syb}dQt;@h$(4s#s_ z4Z7vnULL28q*6l>QyUz)f{1iF4!Gk?vhai&1f^65#r*UQu+*+$`)iLUKfP)5xu?ty zl(pwaj;g_L32?Qy8nd)viuCpOBNBi@L=+`QMizc4Rh37+OuKH~d%5qb{-d~27X~98 z`_jdQv%4e{qc`Mv?g__!x}$czc=e+j>c!hI`|ZyoG>&dEeQNdx)Wr$k$$hCNzZ1?M zYRN>TvQ66)d2u|;ll%TsHjiK1m1I`fVQvWGcGgqB@Tg26H=qY66EM?AO#^Z|0m}c! zQqsl^@M=MaTR5lMoKXX^9v9w-&YaLaT)yxe{&1S@-M(Ac3&V&^Rf$RuFsplISDahH zkBvU5+svM=w>GS2?I>Y>@i#q7hKcO?g_j$5IWjnJYlW~5&I~6`46!(Hu(@4(t;+FQ z?F3ACF$^>atSO1U8}V!wZ)JFIqC))*BlW{WyJE=Q1__maHp2>lBGgs>bh86S zAH$l)@vdc5RsxtSP}jy!!wc2Yk2+K1!ab#8;(xVUz>te&U>WB~*aDGgh|#QBndvrP zU%m8*$r12Le61pr0t{Ny4#6<0|NG3S^v)L<(7}yEl zIDEO$_9ftn=jrxORg~Bjlk|@Xb_Vy>*M169t^Trf)v~SRKq*oXm#T10Bvy^<(VJ2gW>)Hv>1 z#HIc;qVkfYh=tk>K@pM&p3%sps!NhrQq;c0n+wJb*i|TzW?eKo^);p^lJ7JfD@ErG zwdhlmA&-Hz=uI$Di~bSj=yFvsj^og@m*C}u3g&6`yP4%VoMum~ZiFj%pjE_aW4@@_ z%8Bxs5l;0@_r!7}1&0(v!ay_hSd5ib4GyX(*ao30Pny3Z^o!$F5i}qsm0UxrUF1K3wsG$Wr7QubYvXe3%DQCuO0(Nrnq>5uI!dOdJqUhndtQ=socUOPHX=GiQI z)k$5?TT*w!Sm1T>t9w=4N4^zp2}gSbSme)T7=7^}8+*XxCl(*_nB_Fq<)r>cNfPW= zlFoabo;xMLmlt2eGz|Gz%bO04{7%Z=0a%epfeW}G#5`BWUyfNXeJ@1}D`%5J!R|yU zYtADCLu+UYLyL&e;8y_smV`TS+*LJ;E6LPi=2%EQ6A8l_3;BIx#reKSKIS*ro}XX3 zzDA|fSx1pW{`+UZ)zu~UjMOw4AHWVxcWJ;>jD#}JXlUaiGDTHs+oKCY8g1Jo0?B|r zdgQ&iq{KZD@;r|zIicOdTG=aC-1M2H5KIJx&*o+JWTFFnK^e(n`H3Oc>cVsyZAlc{8TH1cQN><7b3GR?_AlDodgqEV=Ylei&ORw zQuyo$kw!4YTWRIU=R4Ec*$u|x$OiakA-}Ne* zJ1IQ35d~nDizI3@j;ufijs1eZ_6mzXcZ~%zc_1tIPF~x6Q~i?%Rtc=JT|0v-8yyhE zHBBVuNAI)78NmYd_aYsczHb3uG1Nf4bC7;MbX@}p;DICqlzXQjx>SGCvJUsp8tkvE zo8sm<+(!jqroycXy6PlusZht%Rv@?zdMD8fR!#_1K;GZdv%#xW#Y5(I^s}B=9)bAh zMYL{C)9BTlvJ9fX`@1OtzjkVHM#mUwQVo-%M^03~i(EyT4B8u>{>_QicL@{rhZfAS z{;VB4|Jx>1d-b}m1x#^#eEeQ$SOQ(xIv2r$5?XWW2uwp~RHwKrPY+^mZHhZc+ z1a2cRtJx*`hglR^M(H;<$`sX6X94W?u#N9%0fn0{_52IUcYyD6VuFmtY%_sjyT6R) zG)G$sHChVR-x8^_9#wzc0B*5ni47MenizbB>(>euZ3_TteV=1g%h$n7BerM5u&83OdbL3h?5hs zCp|~wigD4#fD7`5FK^Yab7m|ud|vcD8=^=LF9h0mLA5~Uel;9#27Pl8_h7c5!mXh% zu5MnHl{VFyS}j)Bt<8}=QozemMPvgaWg#IGhM);GC~;hmPE1gmw-@&s?1ur zOwC3MdT*Rn;AHA~O^UW^>W$8q8;01jeD_5e{A(&jDC=CfCtD!D{_#s^SBxy83^q_v z5fSi^wT3e#2S$;R>z%l)M^!5s&G5~Ai1Q=~$)z&`xt`XKymGl9Zy-=_efAG6t*eA4 zdolG+DQ_Z8ar*K|WYUkYq?gZn=y(O<)QVmc0~pXH6IF*?g04G0Ea}uF7PHoPmFb=1 z-JZEzoMryK8O2k1;?R4zza``zU>UEO1QG1Apt0GLsxz^ZlAbXJYlbcn#F%HBh^L+! z(S^`y#hvoruwd^Zb6SuZ;;$cE%_(W1ghPeI;>Hl6)m#j9nyW`w0-ksoche3(uecwS z=`4)HKp$}Jh1nU_u*V!!FWp#2Kyc>l<5k1cp?i`BN{&VjjO43egdN8bDs~4=4Zr@lQwO zDmifH3f|BU+$yCUki%<8Y4ZoMjbz&T91{1-xeCfM^DKtjVBw-tKMmE}=Mc`f>FQN~ zlfRFroeLauq$8Rq)?C2ITrl2TWMMsbV)sHx2GM20i;SJ>*GX;iCPJua(Gk|gmbv5N zKZNDJ6A!I&r;(qpvG{b4RQ)abx-2Fex^uNVF_KZ^^j-~aifCQMTgL`pr`sb)3KwW8 zV7hf%MqY?cDdg4|_FHdY%v+!@92!gsaL|+c(#-^EKi@D7;i`YS8Xdhnl6a!{5UnZa z;fUBaiQH6yNq=1SVK8RIUEeAz{bz0kt{5*^tE}3ViMzpAKt`jmY(aFK-{m}+7f+|- zcu!~j9*g=m7dk$(EEge=*j~Sn<9TtWZw3I9yHF-w*U+Hlhow0Y8n*Nc>tkFkjg-re zvhYiu*vcoKN!HotvtoZLT5qI0Z-ngxG2V;8`5|+)z`Cjmm zTZ$rK|77~VMeKK6|F68a46Cy3)GQ7jt#_^cWAEeG`_K3JheKlC*EQ~Oo#Pzi8X-(QPzcxS z5Rc9^4Eg~2o;}*%9utwLIS^i+k$>@L$=aeq$0a?BfQje9BgihTrtaL^zV&vzcxe(5 zFSqli(DCi~CuVQ|u!t9VvfRJ>o%YK?oiMO;|= zler>|(*#d*{L11u-$|)T*(>M;4LQ7!ZV$QJAE08?w(_{9m+0!%DM;US^5vk{PrBZ5 zl83p`t&`BrZ4FYk_7r-}>4GJDvGH+I6vmLnp&RA3$DXSXcbI+0Tt%C`2XD}VIivHw zi=rntzi}B8H3G$j#4cs}>!C(GoRAl-858&ru3jm}SmtLBY8gasftN)@Zj^|f?295U z1VY`B7h*5-0yj!>i-6&AI8n5g&CtRP%RG^?*^GjoD=%a-{Kjv# znX_xSf_O}KE!d`pKi;ifkJ|iSp}p;zb6VnSmM@^`I~2o-(5NZc4M0V+TsGZ@;5#X# zRm+{p@4*O5l?FdIp9|h})*gFrL7Ws-2i6z)2T?1MSApbKnfZ~qhu%^q&sYW!QEB{nDhnD#8c1n8?fvYh$eB8 z$GHmxJWIPKWfQ8ZrVf;>ZwfBG8J{RX+K$Ov9?9{){sLiVX_6I{&}$PwhQ%+KD@u=+ zFSx7O;>Mk~e)UG^1x*@FZs8W5drMi*m1;&_>uH+vFa1^3lgAANU|DPDt$7K8-qzgw@cGdB|G ze1*voFMO{icbhop9g*0zI63w-!snf;>blY%X@4~m;zQz0vOzP7RiZcVpbUH|{oAA- z%?aFKO+Ay}I^!w4(-^Yni^#vXMEib)>YEIJQ6f~V>X`RJ)u0L{d(JN+kwpH@f;HJkS37WW6KXM_q z<6}ie_V+hNz$z&?iJLDKUZDv`JK zY`(2Tq(2*GF?knITT!n4@vEwC7HbO0XQhHLUA;%VUx-y;HYkQhQYftvMCXw?lrxlq9Ayu!u7pC-QXLTBm95aq8SSS3zW9E#3bbT zsU|&mfoVDq4dxvuimG8+3m>CC5|h)x>kx+)7r|tZ4-&7VK>U2KN4rjHO@-icz`jR_ z2hjY&-1=3uwl=!?y5>}b}ip10x|1fC3^-S1G=2dJp90zHadyGa~wUD*WTgxi;J{8K&U{)41eZz%_2M*LiVTx^` z8mModM@ZyOED{j6O-gwTZ+3l4WamP6b0rek-y9;g zb*Lgb?c^_SkqPF1)sfoBGcOK&l@p-lEwQn*BnhR#(42|+B%yt_35d^U%r>C?EJM>O zrl4SVUgE`vSjp%=q)i9tO|Z5@9`8ShF5{GyA%{=M68pNA$FLxXO-QqXY5aK*gejTG zKI0o%TnoFvbiKwh-otvZ9<~z|)2;F&l~R>b zVBFUK=9Ha*pXrV(FvyNpzbx=Q*R91xXOvX@H)uB*q_(j(1o#%f&>zVC)at@{{mTEF zyKAIgjmoJN;?9oCvvLLlOxCRx&W`{=l~_>nm}a+Ki~?tUaqMZ>Tig{BzcxmD7fX@T1R& znT57@4Mdk5G10tL{OCx)TJ4tD;t%(hxOdQ4HVPfMKy|6^kw5NgQ|23coWmqa6MVgE z@>+_mf?Uau23tJTkb?@YZs3ERkR-(e?K?McU=H2tON{C9#rK4mn8+h%np->AH&@=O z)e$v#Ges!9mE_i1jeiV{Lz`HSOroLuj2rq_6=!@Tw5)Y4a{p5`V`>%P*<-W?X`aX@ z#7Tqz)3+d+d%>Nz9HXzIH1)npLM6w|!N$obTQ11>O3vjoyKK-;a{raYZL&|N9{VjZ z5jVukT4NHzQf%bnSGE0-U+m->7rR3?<<+TWe254$ zw)KscvqU2_c!4B^50@eDcB)DrlytLG%%y$=nVf)n^QWe*sHB)x%qSD`h-HyF@2a0) zA9MX=`ImN5mMq4WU)n-C-wJ)4$7IBDOBqydK(l`yLM)|1@4FKyznSwdGutVswb4n5 zeIb!@N63>N^k^oG@H@y=6b zE?-Uay{baA`Fe1Bx|LUr{O8+bOMP$CG&h1;UIih8kX+Ih6`zpB&Cj`;V`^^LCjDde zuF=jVr9D^tTokhD{z99;@?VCWIY>GH_vrmWq0}CMGzI0CvMdI2?cvx~M?i>hd)%!37Fg`qPU?hBkf%wXXMiQpLqtHWHsT;H6dnkX%eLJ21OsI&8f-~A4J*L=j+#B^j&*W@sHs+e*(8W+Bu*a zPP@tL5Cnx)KP;8O#WH!oC+KrE*To!i>9~cADlo|gQ0hROR7j!Sy0(m|FUcjAQB{4e zpr)q4xv7G5kx1mQQ>;PqN?RzFXCy|Vt*WLI-a2EF^ypq)6GsV3k33{V+^3Q1do+)2 z>Uuk|;EIqJ*%OBgB}rGNTLkG&SV=KP4v#6O3vwnPEA!0^-I#hQQi^QsarOiOsK>y; zD_E?h9EcZsScx3Y#bS!^;p%Pcc>B;Bk`Q}VwOR5m6+d*19EnTHb5BFd5-RN#x@WPj zUxIQ{H6_TC#SrZhEZf?euMuGPB8bB<7b|*7M{|CkO7ATJirw-A)wqmZdYQZwPZc61 z=`>l^`u)M`x7%8X#l+{V-GZZUyt{mC9dw-#6ELKq2;tro3bMPY z_=HsIZQAEp64t4uJohG_2*jV1ga2Ylxa)}^@we}SdNJ0Yl98_fBYJc}`dGbX*^oKg zaDh7GPZh_NX+axE!2z2Aw4zkSMnR3}8E^u6Aws5W!SdvG3cZk+Rhf~<4%Tl3g+|#{ zoBv~-(=J`K!c{9z&)#@>Lq8fD@omXT%H7JOsslSlS?ZzGvh&V#zPfi&er#W$DS8*V zd_Du7tP&~FDaLtOVZMYRKsVnGNm}r#te8R}Vc9orXNlDC z3cgsYnCRR~`yPttCSz&EoF8`FEK&8z*iEN($uo$Z0ZsFbyuO0z)Kj=+2+O7fc`1T? zQHA{GJ)Os0%Ws^+6;dnnl);y!C!T(ECq`o8jq^1;#AWQ}+{RoE7XR$^AgX&-Od{7q zHi@KZXjFqY^NA(>tPTwS!+?|>Q+r;FaOq^3z=4FPHm1(o6s$)|S0QyQOsntQ)3e?f z%IbQ596MNqdaF8$nG_q;y#; z(7wDLEvdnr`q|wE<7r7P4tY%j=_e1T=+VLzpe%t*Al%zD!LK5uD0UfQyjVo8Bj)JY zS{T9Xp@*Xg11acZv<${h8D19|2Roh-!7gq=%KJ9k)RwYK-OY|?UmJ;xD>bP5Dd~NGu$J3_A0Z1350VHerPrRdTE;0jkUt)n+>~EU-%thRI+d zfuG`vwY+M;ZDc0C1tsz6G$Su;1T_btxTa}I@ymr5)&W(1b?#8H)ky^P1)R3%4N1vB4Fx^m_)B>ZUo>ALcmh9A7j#US_zG6 zuGkg?WC%zxUMKFuB|U$}8q|mluKFvP!Cho=68TP2UKQ#NO|#1%*W{hETGfPh_lgND zoa_Ub8;DOP)lEW6w62b0rZqgdf!KjkjKn3<`08whp+e4O$STpZJQ);)8Oo5Y!i509 z$*hz-Z#f!{lcl_p<<{({gJAzN62x3m^7J=|{aqzz>oUjB>%x8)S#$Ds2Wdz!F6JWS zDS}FV9p(Na=G@ZUKo!^Rg3!g+@)8kp?=Q8zuJfh{+t^q4ZjlhV0-WFATl%3_bDY#< z=D!)6o6S(G!~6azrZx}K;GiE8%=C<=7Us|2h-OV?&xayIQxJ5#&xa}2d$Cv;nQJ?M z#5)V%d@k2RtkRN|R1jUtDH4FxqW&I&{P;}CbG^qNu6V8nj$Dat&4X}4-ZYw+gJp=A zMm^At`-9GBnFol^_+{TR&>vr~YJVFsw8DK!NRRfvN&6Bvg8p#57BD4mZ87wnK3=b$ z!rR&`Wzr+UzrrT83ns7{AyW{dmDD|!-a)YP9F*2`XtvtaB#F7~oEO8klz%2tt0W@& zPw`U2uL1{1i`enm5~{pZnLKcojd4^6|J<>4<(0r)%mqkm>y6s+uLwd0eB_bjhS;pK z4x2Kwi$&E)M(^{7#E#dWir`+O2&tl!;3oSN2Z{V-@7CX$mt`=g>q?dgA<~q})1##? zwcj@Jyb$F^0W?Hp0X9Lz#@}8>QdSlD_kOz z7dJIqDsSOQ;Nkc`%Q>JU$m&w(@0dXZy(tL7X}{g*gcr6!cIWI7CM=nfq>cr*18Jlq zYRv!5f#Dt};=ydg5VkSf9-R*NCeTSOVOPhkADixy)a*MhNvIrqb;0EPyHLza8XeEvd;HRiJg79Ps$L#_|;7P-KDl|WJ2m`%%*AMT?3XMSs!;jj>HL3q@lZV z&2jFlMM`cbG4>l}9Q!7IF}mj_+$?h3DWj8N&+qu}p9ya}JU1x5!Dfmj((qfhFP^Q$ zbjv!~0)g0cxnd*XcYapS8W(mpO?xKUcs#yQR#*2C$(@^-$z)?|yX*$v@}Z@-eVpwj z#=2f~W53Z()e_=-1K;?~*%XvGQxuBtNZK2pKHB2Rop_>kE0)4^PROQuEhI^&a|1PD z`_*~0q;AW0CS9|?R_CJtlaHk9Q_14b0h54rLsEA6+@>Pv@90MH0~T@b~&>SF|gSmW*e(uw)oS5;M2cUDJusA*~a$awG~wx~iP3(3TVl21}bOHLkbZD-l| z-tqgIb1)Y0XsgL(radCeRN`+7_sU9+x`F3;0|qxZDn%U>JwIuGw)j(?_O zh9CNleCC=ALq)`WjTPmIPiIr+Pa5sf6xQWyUp#Q5ITcefq8N&X-W+CMCHXIxEd!^5oJ}y4k^xTXS@Qtm|wIen1rR$99a`DANd^*K9?U|YN8Dq^}u`}9h zpU811{%W8(LBiQ~dUr_@*F-`8Xzy;-Z=iW@i!(P zDG8bc6o+__SIohunoYS=j-{<H@0cb&fMuYRv)k34)WruAS`{Z7oGCO zb4NMso_t%9n%ucJ{r2(XG2O}P!;}>QI~D%T`h~6uhA~Ctja<91!-J`L=h6&4e; z2*gwt@izyCi2FifR3>b`&O(QK6-@WUsh|J+<#+BL^JvSXn~(ME&X1mmM_WbcMho}R z$-IwC(XVP%K^@j3{q*@CFpX<#QL}OMMky5s(HCECCBG3T&*=MMgfSyUoEl_C7Dzn& zjx0QOO)_0IjfX{3112aZSjJX*Zra2n#eIeD`?u>(eDVGLhL{k6kc#$?s+M`KbiT0f z8}Fh}Vzbmb(3E9!wjX`NLsNuPw)Os3JF8y;=1vI&Eo;S_-?A{F4Te%;f8Mf_$97jUy z#Lr^IsmCo38Ky59pa^U=&BsQ(g5**}_lNzX`OOVH3ck#;IHhQVDD7{*pVdF>^eZ8Y zJdivY&GvoP?hVK12<<%ffM|B$_m%V+6HdQgd%1BPP1PdF#FYcD5Cdb2kCLNP=Wb-w zi>Q>>$&b}Vw&b^3FN>-?JcVw%wwyt!Uk1;$CpgdUxYs(+3l@yv#Je-X3Q0p1Qie@P zYbp4#itI|}lU1!>lV_=QvufPqQ6kyG z{1<2RRRiihPa52}p!es>FAmG}!7Y3hm9z<*bB)S-=l*3yy z@QrsKa6u++wV6xeicj*0aBxz_Q>)xTZ4L)>GGEtMd`MO-lIyYja9@Y8e z6M82{##v9tt_y%QaaW5+?mAcc?Cq-0)I&@dc{h?!|vRyd0lPl}S!9I7k3q`Le(Kti; z^m^Iajevz~;Y39^CLXf_mR`HEee*X;R=@13vLX1vNyM$AP_?MH~^ZHSdxRvf7?W0lhTbC6c`Q;b)d`j4iWk9!C_<5C_QEpD} zPTdH$_u7hiTI9>)kh=M$bYb-x;0^JGOU@#9;Nk3T+t^td0)sZY6|7F9C0#O_{ct=( zvNJdr9q0?I9FTl!b9|~uN)UR+v2{x_1>M*e6q(5z(wHp~KgPNdDm-yPls#EzGoy~}@5kf{-dILNj(;-0;6mP^)=E-=>|f7@tLRkIfA6+)z{ z;O6BOlK4zY$62!PbHLN^=p7aM!k}^Oj9oqB*~eL1IB0$1X0;)Q?4nVA)W;tIj0SCd z+{sbOjrT`m#91d?UV=d=#1|O2QpWOowYm}8yX^kxS8Ev>@#;1-baMUV!|;AK+>IoC zro%47{mpF}^ORBT>>(}T$2Zo?kV5zL3VA9l4mRI7*9tI+(y{$2!jHbkZuQqz%=L== zXUAGrDPOI{(sD9wObFtdijnIkI?5zE` z#u6 zSKH^C!1f1LJW;G6Gg1FoX>l-{llgc-S!ZA)Y<=kL&^yvSyTH|R2@ttDZNX9#l+Vm!&);lzY!}e=3_Omir$m8Tc?{<|T zD^)YwLc2y%=T19l@pNnNiw1e6FdE2S(@SBQJ+N-BFC8$(bvs3fRjIje)(^y(Bkg5A zg#8;coW~GDgdxoajf2H6YBJifud5>rvaKzjZ>quNhE6(N_K-S=-9aC<60t@hcC%S7 zJ7aV!NE{M$)up1ICiiO0YGrNNam)EuI+yp%DJ1MvM}pQdlz_#U$6-xRsqFu17p7 z75wS&&CaiHZ=45gI`@*&?k)wcG-p2P-KfB-6Mu}?pKZ^;&;OLa4WClGpsb3>{FG>q;hta ztfBXDU?sK}u&9TxM}!gCn7NJs5`Xl)119r~qBm|}1+`vw^5?~PA;&zu6_4cOcOFXN zjoz8&H>*@NqvS(tHYy}q`n-)m|DYSMDpVehWjAmX^$RaCZy}oQ<^kAwQP6?ixG!{L z^;*M$e6emL8s5;{h?Ce=5W=T=24H0=7CVzfku{o**V1REO(SAf$_A|tR+?+q-qxuq z=~Vhmzj4;>1CoOu)<&ZEL!-Hj%*OAnWy+UZ`&n-U)R<;fl2EoaMij$wT~qSz;4l0_ zN30~{Y{uAp?J9eUA9c7j5cwpvW`Y*Rb3R*EM@NO7hbQ(k)JAnhI}Fy;Qa^;e3#sL`0qSQz?BeevVX0tM0@$k zp18i^=bL1WL~Yx1Wt3KY37DtX*7t43IIJ`g+a785dl~hc;)luEFe%G9RE~`1t?Hsp zyhh*bN*zr7D8Dbe>52hXTV3qSl`1zk&%=S_RurDIq)W2+RiXMt{O?7T&d zVdKLaNU@uVr^FL64gtgyqaQwwytYjG;w%Jr4H?)!C4CR~)Z5ivs46zws}oI(4TDi*VeMd%6~oturkv zO}Y~YDnE_uA2}ZevwQ8J;dzL6I9Sy00vB9|tPTi%f?!3mnE*j(MtH`)AEZqC#_v>p zlvlprsX69Mw*NEifdzN=`FeCvCDrNiyQ$9YliWqsQKIR>;f*NU1dHGQ0uJXQp1R zHDO*+AI9H){1r3!AjUGq(*9ay%v^OL_-KLdz>}%vvW7OZGioP15VRv%UCx}i)6uD_ zS22vaBvphd2-qot4o+s^RCQq^M_u3RfkafH61=mH9}Y5Rq;dIGOLu-%Aj_?MaqWC) zmd$M=mZF2GvhNKnDNcMMH&gAT#j_)b_QzRijuiHa#&9fPUVUxP*^0-Z(-zC zD<#pc+p;YpxK^QWLExevIq_zvg1u6dm&u1Wh)SXG1GlST1(Qr<{=4BvUDm)bGk%3O z>Q)I7_4wj$>`7J4s!4A|gC-_b)Tz2Xza(;#OkiS_n8xVH^*O0X#Y_=F+4U6 z*AM9G*1kA^2{ujDHvAV_2ab5fQ{Lq2tCWK^;_cA};X?%)#635FOe}iEMAuIkK zketEqq_^zA%AAly8IyfacaR-C*GAg32c5`xsAX#Jji^dnr6?L@`x(r7Xk;^RzKf!9 zmUp{_uApsxdBJ_fTeND$nKzv5f4Crh4&In&RS5wn0K!q9t5ce0o6j_CsbJ*C3tKw+ zkuu%(cFiMfC!thkynA|Sl-A) z?t%K-LE^qYsqi)~Z|XKK;W!*`kw`tjtn(W^aD%p+qPE|WmAxk}(`#*qE`_71A?p=^ zON+^8NA^W4gesD>hBs{gL@H3dFZZyc3+mRR!{mVBuVoWpL|PdD!2qt3^8$J&*Sx}6 z`FfkL0oNRg2B@j9z)VF72nWf^bloM$!ii_l;=%3@Rs25b;x)E9()nMVws9iJDh z>zUTwHyDknqd1P$d;4Ls;T9#{hMLMhy1$-+F=~h)1QxYZDdXvp+xhKTRlOS+L*zaG za>JK+!$xiIsf;VTZ+1IA<~RQWa2aDC)j1K*KtlB9(dIDtSWi2_HNJZv^Yf~!{Un9+ z;wQuBvKG#NzJZlKs(n#c>cKznPf`N&6><9#?jq*vpC@C!`V-%Nk2&yv+&Rowgp|KO zcz57x;1Yks*dqik)&(KVR|K8J|K=YevC}|=xWUsVkAe{J`k_2#(^D(NbNRRJg0Zkp z@$Ef5Srv}9#m~3B#I9q0cuEMMb5Js&h=ya&A9Xl`}iDzF{Wh#w@}X(qbpAJ6sFFeo_PXx z6JIJ?ijNYn?Qr_rj2@MWAD14BMTF9b`;MJ&z~q;W!)Kf2|NXDM>VwVZM2MrJ@h}TR zxKI86^`d9>jT?On8jtcD`&WjGHjdRd5$bkTN`qAE*LOo|AJ$KEJhIa@r7-RCp~Y}0 z1cHc~;s3eLJ={1(Y|iHnulyVtiDA6Q$(gT_`^?A3h>D78-y4Zr>sbBKTdXKOoguE% zj44)O-ciu3bR>5lojsBBs0-COUshjVpvB6!5?)#QRXCB;$&4!wOBOP&@#Lv>^*WNKvT~V^% zbK4&9-$+JHc5;h}v%=*iy6?BKsC7{t$gDGN#@G&gKlB!tHY-_aZLRQD&226-Zgla= zuUr8u(o!Th8jY2l&{D@7>|}a!B+nd6!kPV@t4P6*=i;IF1hRA_bU*DEmjWyr1j(G* zoA|WYJ=fnCHc4##+CNGuUyD^1m8-={Qq*f+%5(l?Y8tXp6COy>;7ScVvFX;d8@ywV zXYQbkzc_g7S2--;eh`&uS6f?KZ5f)5_3*BcK*eG!KbEhs~bYPNQPPI+~; z;MS41n7B^#zkP0jeu0&xrRDN&6X!Q=shcz*Pm6P45wv${$p*WocDDzq_`(zj2?^hH z&U4gJ^S$&q*%?qng;-oz+t?uL#-)^jb!+6lDH-_)zjVa#>ctaYhq72jwly6JX9Wo0(xJD)v| z+}+&`)r`r7+6S@J;q~=G5YG4E;W*I$%F5wJThjma1fOpXmhtz_)KbO9*I!KKU$09$ zfW|Q2=KuM0VPRp-{r5C7-G9+EQGJ1t3u%u!orMbE)W9TN)nKW=o{9fuMIi8(wY5?Q zQUlJ%@$s=Db1WJAY10=%lH?6FQ}SrweZwDi?id zu^SwBJ&krfeP(#O;A&8r*(sNa{FAngot+XY;y!4ZM!oSybk@ZK$7`_C4&-l*R3sex z$+M=Z{J*QKbK$f@E6IN;dSF=V%(t9*nH<3`hIhV#1>a%Q@cLe6HEUW|74Gi36ciQh z$7`;xuP<+Is^@Ac!g5Us=5hqbGHUa(U+M>5ayI<=k(mG`-mNC&S9+nV1fF2XAy8hr zC$cLWN&hzpczw6Nd7!C!|Wwa(Wq*}DN_TwE9;-1=l&yi9D_jY zssLqXQyAaEY|PR@8r~`_2B(yeh)6{&HPzDxUi`Ro!X9bH|{q$t?Lk)|ZhA3T)>+XbnQJ|_o{;DEsC zn)Exb?_YBE`|0JM&?2(DTjT2LdUXDMXvGCC(^bcF>8k*0J>nFZ=C=>iIyG_!e>7SK z<_Ib~+S`9C%Is^5MP;2CxWc>rX7&0%DBL&3KV0trBbN7SVjmcxy)K{)2K1DfnB8-uyMDMpi*0>l(EF^A=o*nBNBjVk4{H};j<|OI&{6pnM3vDcXT+zm zfWHMhAX!G-d7`quUX=RQt(}V=9Pygv`XKUzgXv})Jp%(x*0}zcM6@9ndSOYh3>XoU zK}0L|%+ypGP~q#mBh1M$Eu(c~&8aoyaGQL20YOA)joHQBI7NUsU<{_iml^EbD15Uq zbYx!03L0tZH>o1W02RvhhxRA^Fer8ApwtillBs7!0!DCwO6>dG zsiIqQ)*pFZVG<4wyfhH#uFS{mssvM+8VX=J>pyumFw3Ju7Me1jZ^dsK{U|(m0FL5Fkt{ z?yC67X3OUlrA&=y-&1ikTQ_)Czpw0~qiJu=`uM)$S}ws7MJxAzAw>97HIup_KE-t> zG($&d>C&@X+aRq|B5<2Njnjc6QMmeHcR`Yb-y7Y`eT;?he;ERrSXBa+A7inGgDp=5 z3pwIDcd1t3hqbMg@G|2J%YyZDwLqR#TkQop`KK}CNbZr;faK2kwuB-uX}&jpKe@NN zz0iBCQUnJJP-8*t?UVEUCT9H(q~o(WkH15W?XODmR6UZDlS7>p{J{1z|J&|Zo5oGc zej;yZ`5Wav^h8NJpPZbeJr)dHQ2s4EO;ji_39qjB@hYcv&XCn9ngnc{-|4WQsH@2N zLG<|p{@SNDHY)Ru)#o*~&!0yOeG}mwZYIZm1`QWj6sUAbepjA1Q;M;pW>*4Ea`)+OcTW*Dn%27d>js_K){RE-)GuLQ(g{lSBdzaKn@FV$?>6j?ao=E%!epuI_YB{+A1_rU@%_~qWKJ!>Gg&+TF&BC96i z1zDUzENuskBu%|&X7_Pf@#nZ*N8{DYE8M;C3SPeATSWNNp_OI9U@gZp0u+Z1XAUf# zHT+07*;c+=G`s@H0*~WK>;bg1^7Av9cl4OZ_DQoU&jY9eb=88$ z7^n=b-^n9D2{20}8{6Y6R)AOV5x-WPoSk|3>ks*Rp{dA*+F^=$ ze>EF<_z}!sVi7a8Kh_)VA^5(PkwDnfG%=ClSUvVRb!%_UKq28UDR3D1v-fpRB34gL zH>0kP(J#?q#3nIJvO}1H75Q8=rE*Rre!{hN1Z(W>?hYO99vBjR+;X};UW=~8|K4(b zFdMDw8<7tcm%rRmJ20h8>9_QlkJ$RzS;O+~QP=h!H0`^CR-Wicm<0Bult5z$Gr5>U zK97nlNQ&BGjF$#{mYb=I7htewz1VI`$khH6eQAp3)Q90;+y>L#`lcz0nPtVr7%>40 z#rM;h$}8%uTcAYH&|^TVU(EL;2UKz^(wR$T;@r4HK5nSZVFMwrjea3bCf> zK77JE2pn%gP2fUi(m`H#g-h_Vh#n5y+mf{rlp+kEpHvL^G+o zW3^#psTY6Znu#$-{4t%wpiS!bbAIr^hEk)9IO3r(KTAidN~;wP8bF-?oQbvqgbZ^6*q~9pvZr z1blX(-RJLVtpoV4sI0^|Z=~P04^KYdt6pDDvf!qmrlH9*E`sMT0SnXt-rm&oLNOBs z_|V?$_jj-{@dF&W0j13T0tg}74SN{<5(M@6#??xV;9~w^=dr_flPT5N2%xm6F?q*j z=#%I{+d20>LGz+bT~lLGOuYxKn=|8S*6PNFiDib17Js64xjwbEE&r0o#GW7=7$LA> zo^`QY(WjR(SfqXyb9-5$@aPD`WO<;uYg%LhIn46F{icAHC zg{mi4CLXHQ6l$?r!jRo%9~fU%=*`}wH3RV5Q)l$|ndmclH!2P<_P^Z6p1hSNZfK^* zeIi*}1)7FVTjlRPgb6WSwkvR|0hXm{nJ@9BfYV(lNqefEVaQ>!A{{wO9;1W;&T+#zKksBQWv`Egr%9Tj zEm%qtH5uuh(8nd#yBd?oyHXrDay3`W>e)z>%r6h4LQjxL8b%@VE74SC4ziLft zv1X2s8v#G+x)nS&K0X8v`{(*Mc2?A`tZ^D*sT)P{$>tUo7VEh+u~9A)?e|Ep+`t}& z#+#wTIO)0R3w0W~%2yxh3br@R0tGd$@|iG7+SXgh)-NC&+Ff4G%UDX=pPG8IdhsQA zrBp;Ix_BoThq4Gi<+zM+eZY9w!z4aG$r|CF1HmYNrNe`**+GGCtxvZUHIYS6K@NxB z#&GmZyDNe1V*J+*;3Mpy@aakWnnbnXI?mvuCI=I9RyQt+&DNiRKAj|Xo?DTWH5zJ{!G`{umQRCN?-qI-Gc!ZZ>1UVIQ+5oIG5gHlc`uJ#muafeDJ)LnbU!VU~Izf^}%Kk^6$eF^(U&#u}9M{Y1^_AVK66X zTF1=+akr+mmEEJy!#wtV#Zf8k;r}w_4>6`ZcyDh{i=CVWdlYzJcee@%+3Nu}BK9f_ zI{6eIcy}G)j}MIUjPE%gq`nbj|M?qpz87q9ij@^-aP>7shvAmyS890G3^1TcAqm0k zDlE+JDVJvb9k0m56x&fP{0suwQ@5aqh)eU^C0mqK+NVW9Vkyb&{k{S`EW|Y2IwHE@ zbY+KZVmKQ3zERP*pLjuTo@XZ>;_uJrP0lhgC#_=D_{0bs2Ngo2Ff!$PSi0sj~A#Qc2# literal 83090 zcmd@6cRZK<8$OP|NJSy5lI*?7-ZHW>LWn~4$jZvdNM=?>WN$)|O|nDC&L$+Ake&5C zFYfz(e}A9f@1Nfv-@m>d?(W9r8qe!_p678K=W)J*?kUUSTq3!ILZNWv<)qb6sB;U* zf0!5GZ1<-}U}0;+&3=oMosX5$ z+|kj_L5PFH`oAOCZSBoC^56S4!CA2EJ)~_z8-!J3~(HsUbu8w``H1cue#uMf3-2S1eDYZH2Q^q4rH#!NIE-G?)=+S!m~qjQG||XM^ayX?4x{kXeRpqPU`*t?vql= zE~3ocBIGdUyON|VESPvmLi?uAUPG2B6~^Dce?K}ds+pH95m%e~Bwy%C5)Qa&Qz@~? zdA8DAU0V7ce#?b*dW)PWP6?IESy@@AbR5~jAr?}c(>I{{_wt38mDBz=f9}VSz!B$) zik)lpy8n4qj4!@B-YgQjwEE9GE++kd_;r0%6+$U|kfZgv$LK3Zo9@Vn?1<iO(fM%g&Ye3w%iEm9*a`ts(M52S02K!N zqe|}|KlF&MUNva&InT(*=&hOWCzGKnB!cWZwOdpe)Df8e0Rg>}li?2YT?Xdnn8DXM zO!XrfvET%i@S|HhJBDqMbc`%4>O!Q*4=G4BH#fg~_wKf>Ek{?1c=+efBGIw2EM(VI zTc$&4Zzy7-)lG)?^{M@HXSOCLCX8%sev@kfc#?~Dfn2zRTiDkw`Ehb_H6HjPuZhtB z`@%UH85z7we$lvoj5C}P-H)g3h*7VjnuKqh9&pRhqvL^oR3JeBmfN){4D!=OVO)7g zKzHT;ulJFDW7Dn1+{#K?NeQRDz5Sl9Zs^jI<**f>i%9a*gTF_fJbZlgTl=fd!j_hn z@UJ+bGUw_hQ+hVdSn4Llf0unIDDZDKe9i@D5s;-8)r94hA)6v$|6Yd=qzunA!8PzVs?=r7AKF5~vJCBV|$&1Z5=*1>_>&E36sWF)AoOPPnCziHLE$+V7= z##Ok%p59)3FBLM}i^|C&Si#K%b;EuA{TYsxukNK!+z6F{XK6I&Xqlx9pPZxLJGZPUQK$3J z$Zey)@J3Ohzo>s7c9VpJAm#a=AYu{{1vTSnoN=296lI7^#=^=ZjWKhE`r-xa#|`SVu<(8tUrRtNp)kKFKE!XZRr72SK0Rh~W|Q{d*CW z0)64o<%G@)@{v7*gM2eHiu8meBqWiZ@)w$k?7!0Ta{I`u?Jj%?IH;cS zagk-!&sC&RShVs!P1EqIYWmU?^J{9z>c7dFcbYm7WTf4f%h?f(8x~!@y+sYBL^a#M zN9=MDmgb7{fiHKD-hMdEYIK)j*2hTN&MNM1Uv|+)q6f#uhS#l5`au9uAzFnQo6^L^Bu_)cdJ@|geNJ&e_g~M_vy-9Sh(YvpuwV5ZD zRW@AHR(~k-E<|RgG)lGV5qqMDD*@`~6H$I%-q7l9#{yFao8V@y-)muutE*(YlWc5k z8zUKX@~;Z9CVP6kV`8pVPT0UxYRB}BjR{+zPj9$P*$K30{FIC2S!@>7j+wR-fG8(R zIZ4mSxj0r~8_+uQV#F%B|H+)AkgB@+x$xGPd3nrMW92xozf4P92iv->Cht~HgzfA& z!;6DcQ(<^7JQ?rrhcpome@P5s$Ist7X1G!oc;p3voqtjBi)o2O%&d!IO-;@E!O?Kp z6Rqb7uti3!!U~1OC`vqRjYw|ZoQ5RAL!t@^DLI*Zcy-73C|Pkx%xu$hWu!zl;@9xZ zMm>BRb1D6u;2LvwF*!haL+rvmK$J^H(ta%tSsklTd2luM+gjn`x3VPI5+wKBk}4dz zCP;ePbT;FbQ`MOTNg?h=w~OZU)6yg=Cw@O2gBR>eE8p)Kv$VXN^Qik-!Mw9jQvdO4 zBrR4(FC)CF%K5d01w7>(byzZMEBdI#_|2iAA(hI(&;5&ujuT7%{uj`0J32Zl{^eI{ zU3G3Xs{NDFYfglNgTrlk&cU_Ds8DNV-#4)Kf|hv7h}E@7+8_w=-rnA)oo*wrAd-=p z^7acM7CHk=0U(?D9Bz4K3bj6ick9@9>l-Boxn<2$*^_>s)AfK;x-gjJe zU|*A^{-W0(^dpL;dDP9r!$VShmyC>TV`$i%=hcrNKlYxGJ$&hzUZBQRR~OmaWooaN zKJu6%ip!5=NW#n~nG)_${-D>$M>+TV_&DiWG=093FkF-{?Lj1`Y9j%+hO9&Fe3;W9 z!;lG$a$G989cwisi@!54fap^e5|p<{fyT*f>k^KVjHA@~jW5(?$NqhXee zh*)56dej(o3ywT9mz9-0+-M_6S=7^_^5u+E+}Kp4-}#}NP+Qj0jr$5WBA$6}8H&XDcW|ZX<|H)z8hykb?ITes?%j zX2$oRYj-=0E=0YCy@;6pK-kQI>T%u>*ABVTb_M-X%~k4nMWvlbS}DS+SbrVmM-?Zp zl#C?yxMaK4#wDAHt#S^Enc7cN!R@MxiVgjDyB67v(}4mT)82a%_}jGgT53iSbe<^{9 zM)d2+;}0y&#dK8)0WsI!rgrxi=vIF;>rTG0W?M0~@s%e0+mhhlgM%W|&iE0386Jj6 z+6H5;hUM+XRc969#*5OiBA>Y8a&vQoxJ<-%y?H#XagNmFq4+v7gX6M9j1vB?u8 zDl@QNyG)9E5un99Y5$w<>L)|&_wV0V{51K7JLX*P(4aX_i`o7T06Pl{G}MC+gM!`f zR_&`yMIKi7noE0li0V9i2|I>X~ODN_;$3Hcl_c&T;W2)?bmY#m|+@oP^%I zdGqf5`^14wjF%0_19CW5lfn1F?plg-ZfOt{%f{tx<&hDmsz)0pA0W;5_VnO+eVf_% z_5_1bb-v)khtSyk^3u`};clx(+HRt;T>HcEe~NgQQ~=S1x1NjbI1eQ#EG$g>*;k_u z>&~r%4%3pfvNESeqsV=|you+N4;2#cmp9$7a4qMiR;#vU51X!Pk~qv_(P`1Ex*fp4 zcVm5G>A4@xUGdKsJ;-4Z3)R$RUWJbSJv!E&2zD=PlbK#|7PjKM3BQip?1ub4NX(T^ zc5e+MTUc1|929!vnB{Ox_QFbu}_Fl8nNHB^VskeA_uEFPmBDDONZn zoKf5>om^d1gx}fOxuNzfqgPYAKyJ53>Pb?-MeSmn_eKGhd= zOa8X2##9v19jB;sojZ1y&)Ji=?%E>to7H=5eB!arGSbnCKkBeE7VC5y)A%pq;htlu zOA4Pj@uVWxR`(ev1=^X#M!&Ghsf)#-D#V@8X(vDm<@{ZKe!@VJx)Y^QRP%^cx%_U` zCvKLGKOqD&(n-~2Wmm5Sn~a~Y95&y!(hq(+OzYN9*Ngz8huq#4QEPEOWX15|aeh~2 z|8x{8j0>lXTQezE+#WAxZRPmf<>({u*k;XIO6nY~d}FQ0LAHp0+whj!2<{uJ&9i7M zy<0{C+(V{GBgl|pY_(F z>1LyvO?gNFIQ`rWRWXGmJ(TE`*HzBivB_Mt?N-zOqorqb^ip`ML#OZCAeS0K1HQIy z$O`lxtUE#~<L>c?T^EtpCO4Fnlu&qeCx4gZdkkB3Jr19Dv2}1k zU>cN+{7hQU*Z!a>7wHQrQa);~%`mum-cI0g$w3Q?CBnX2ZDkveFT&jW?I+ ztLvi|cKON=QzvXv*11h8#)>=+oKapWE>^WPMg28Df?UK2ZgeYVrjup=sfyen<4UND z2sEdrcosG#ek2|{^=He#5xX*r`O3*W$F+LXUK;UmCKGB4UtrdheX38Mus|F`>84kb zCZHq6ZhXv1iHCW+aHxB)a(ddp(a9+-FYnU%^PltXYyxX7vYo7TktNzYFxE0Hx#3*x z@u=0VSOfRaQ`~uV6iGazqoXcAE8Mo1Ty8j7by{ci66^E5%g#1^RP~Nlo{@tiplLcV zoVt5RowvkL1~8@e7Z%lDiijyDXiE9{*nb`00~dV_lmuSF^ZnkXyl`-i&b> zAeUJ4?BUjLzj86`a7=R^@BJ`p5k0L}=|10X+|mNP zQ@uC;^^~1!{VQA%%zcZ^7S-u(a_+*3f z#{w}ris-uKN9!c=CyIVOmi={!qPqWTknL&_f%Ok_{6DU_;2pi}ec14u|El5GC$)uO zr%ST29{);_CTSeit?LO=XwQ!ah*4Ai&4MoWC1{g6F*$I_U_^y9`8=$+7WIJ@l+S1- ze}5X64QcVPI&l=0w~q)8c|OaF*)YQeM^-Z}0z{N)f1t&Yp`oSKN|y~1&l4=F^@fyy zjcOW+y#s2L_n0kPeK_BeYJr(xHOOuZ)afC-W4xb$adTE-3t~i*kMc`mR2W|6rqi>_#%s0t4j3UQAI;df>g&kejmhE>x{tnXV|j(7O?fkGfqY5u74oe7lov zzsFp_vcUAe3*Kg=wfi-JM*6(wN`{fQ@@1>a9O8!*j1r#7nv3h^7yi9sR+Y*x{1s86 z+q<*of(M-)o9n+!MGGEA!+Ybo`R~d4qU$(9#7S{}PK5iTq5c}Oc~+(oJ)6}0YQMwt zk_{^>{{nZ>&|Cz{~_2RezGcj50^A9mhD(`f3oN{f2joa4vr8+SsX6XOw)6Ca` zFh4uEVR{J+2GllSqNaXm`0X{oHo5C~Nme%K-}{owsudFVhb!)_1m8l{I|bV#PiUi; zTxe$;js5Qv-ZwR;^@&y9n%O%z7bxw02>Zk1BgXP?W|^?C*_F6g|A^WV3Yb)Oe`X90 zcLpfk4$@~=^6MUYQ`mmb7_YbAQEdI^A?40@?fR~dPos_x_Zd--RjY7StomjSSS}HT zg{b-cdnzB9Rt(&_k?n5vpiqMXK6LK<;WP_ad z@84r9=R~c>60mDnzgbOCQ;IREe8djA+oR35L(6xdUVj^xF^YP6cu~=QG{Dt_y<&`K-&BI`g}nA zej-Ws^1?$8((<8RHNKhO%gC{e0)5;^%#gaq_*4K~HRLRaB*=2@~!kUa@+%j6_Vn4OllrB4%)QIk<^5S2GvPHXg zc)F7zXs8&D&W5N2oOiWikUr!(A$|Db5t9colF29l({s&IyW@+8X(rL%ZxQj`d49tM z_AtCjP>vAss^|fTe=ePmFvU`A`;=+DU1Y;%!)CCkyzS%`In|_Mqe^$;S77Ig@=Ia{ zM&M^P$zdsZda8}?-e2vSwFg=lI>w-}nvjBJf{lG=YHMq{Eb1j5IwNyWy(N3|=)j#G z%aJQtxwj-3u*0Pv7u9@lBxag+{t?`Wp44a1GwDlHf0u#VE4f`(>&fe=Ow;SjF1mv5 zAKQ$5`WK~v3Y7;3aO%42!fo4!8FF zxXwyLC?vXa(F@v)eo^sdrKKp;&dLb4jeFiGzc^tooo~HxPQdzsk;lT#z_8on4iBk3 zKc*4+6YPjvm?Bv>>sJ1N(6qCBJX(ZNzW4GI4u& z7+||!xwx@7qKc~T^Fsiju3Hj=;qI{3G0G4VRJ>?Tp z=}QnHpvB-Do`WQ#2oXulQZKHM$yyR$4q`U5!YVonanG;b=Lv-Qd7hCf(^4y_LzWvD z7$^~H0puoZOc)ees>qv**K3uP_o3J$iUf2{L(n^B<{nn+oW6y&rw!K|Pj>h94lBg> zrZ3BU{HPdkvdUnxcSW4p%wBo31*!+5Qdvbs_q!RV*_v?rD2sOc)?qbat?qY9JQTT> z`BsyerI6u3Y*u-js6WD|jwEim_r14XoGaX(PB|W~?;~d@a_S!YW*$Qnx z$)JcqtiM5o4C~AKCnP{8hHE{92MhHnPAUM(^YHRc57iy>DkloOc+C0Eu~J$Z%LJMc zAU`k8ATl|v{EUnY=ufzmItn5qw^rV%rk_1v_}lyIjlRonZ)p}kSX!w z-Ma|ZYLTq}FyOk^ed0_-UdVDskA00d=Zk#4drx<==;eSWG$;gxLpOC}uk{|7ws&;Q zoGfqd!`8#97$d8*eAjFKm@DovU&6+Bbrpk=Vv|e9bbwBgn}+6t^5_l6sz-K0Ni*fG zwHJ3+$M~n;H$vaUrb5`_mb$Zo29leyfH>|wua#dD1THlcVwIB)ulAN#?QP;ZQGzdR z;Q+BrvUCpjs6;irDkz1-u~dC5q**&OiU=8$AMgI2fYP?XK>~Fmqc<=wFV7-;ZE4Ae zwFBtXaD^=e6hfq@1$q4<#dFT{UJZvBFC~bvFJPdfEo}e2LBTH~5>imW4(eB$cT`=b zZ^x_;Y%@fKmZwUWe)XZq-9#{pwc}lGt^{a4@d*iqf-P&iP@LxCv%H}4)5^!M6Q}Q= zK1%leD3cpN&HEzEQ@Sq#Syj3!pEvr9ON?-&rxn}p{P^0HsVu@HVsfZOXdOw-E-MWL zMAtH%@VRsi3S2e0a)l(s-FH|a_4N)6_<;tFv`i9C$;NZYf!yqR`5}`|#mBUQ(M=G0T#45Y&({hzCaAYHaQJv;Ig2Tn>Q zPr%H~jJ(0%=Elo+qwk;Y*=Pj_lMVMO1|uF4D0;4)JNL`hq`m05YQpyyuV)M&*rW9I zvC&YP<8Ol*_;1)5(P?dd6IjtV~m(m7`6GaIj6Kll;9HyBuz`s{j35{cNq}GRJ3cuj6^I7V+a5@$9Xt(*``_c31Mv zCR^O|lwP72P?b;RaXohe(fB7`14oJea6dLRq0{uePMJc)yeFLL>C$(mJIM)1$170H z=rN1cqBmEbi5#^wUGZ32EJqVA63TS!(Qf~B{H`9M+JBC*Jpejpm6S8o$%CWPEHar zCIU&y5FzqI_B_Pc!!_>wAe0J5o?1zw&->yn>=_dapDde@da}eP7Jd?>02M{jN>9D< zSK@u953)U=XRm+b?na@YRhu($vY3<7((QG;xp(XICZb*0|4OdWQI+l5k!2eh`3cgR$>QdW&KE z?lOjMM%+<=6+O-B*{Ssa&toPFlh*GibE2k%TSP>P+Pt$a_Y2LYu|^Gk(1@9hCWXEr zd@X&yi9Pd7)@N_38(czCLD$58ylW+!WO>`~O&$^1CnQmrm)CfgqsCX3!oyMK0NR6T z+1d1Ms%H$Z*slrw_mvA9KZE|E-?LrRBIV^ocg|agUgt9@f~SDK_PvJ>FQfYD7hy|( zNfveQ85nr;s^|2<80EX33%;8COj@sXT@vNJbklyL1ju;)Hw^)<^nLkdj0tldL&$H) z?p1yGFxYymya5{T@IAlTu(mt%t1Sv48U4=Z zo3Bq8?RBQ1gz8Anp~gQ7ToiZz;(e8Wj*0Y!>Q57CA6(RhmuS#3GdDNCCq#s}K&az$ z(x4R}(0g(B00C-W`=^RNsXh43=%d_f@7%6=^A=w`m$eKkp2OI?0>^qhf^{>4=qtxpE*DMzHl&}A?(Or$ID-D?#}O;2 z5qQ*Y;;)(wZ&auNK?8xx&uMwkV0E-i!S^i3^b0&=@}0-MxE>^O3H3lNt%)!Jr?N~4 zWP?C8npN4JPE*8Pv9VIpot}|#4$-Psj5vuuy6@VMihCx~ES_#OW^OL#DaVT&6elTn z_oT`1*x*8gqrvOA;&NP~x~BXx{#KIkGw>tKjF_b)^&TUM3WCK!Wb+%hd|1foQ*$nrnU0obaMfwoQ#v$R9x;D;Y;yWIkU;X!X22)ZhsuKWdX!ieC41upe zwT{M(;z|U93Uv;;()QxeV}>MwhWf86pyv<7_ZS7zXOttHu+6w)tao@A6XfvenUV1> zj&1+-!omwrmkMcmE3t(Re;J4>^3O|UOnb~lCqdApbX<(3a8|fbH+co1LwGB}FQ4C zt_@({v$L~jwY#RzK=r~C2$-=|FxyBtIBfC~8Y@E=y}`0f&!PA0v|TDt%xl53@v5Cw zq*9J_ycIz66tY`dT9_!hTbz%BM0{!j&=+b++05!dDn-PCPj{-ATs^4=2rYp92Z2nd zS8}9P_jkbepl-eKa-&TJgYbLb%NXeB-oS-Rglx>s<(~g(V=y!~XOxdnRdjGDSy)}w z5W;RZgdQ`xw_Wu_)bIY05hhe%S63GnMPXs#b?DFjXvI^yqlECn$hK)a%z!2;R3IXt zldH@-i^YnW+H%q!o7AZsZiy!miXW-Wf2o`B&;!loo-}oYwkW?UbtiAPLUw5ZRc>Kn zz<_1*b^YhJR%@-Tt%r+@E<&Y_^Z6PW_`P-74ppDIE1{{S)dZdZ*iOs;;Tq#04J+lr za_<$3`RR}K8@m@yX(QCKv|iMl@T-pplN?_rDz5(7QBTj$bn>y`ODJ+))d6;Y*e`xW zc!pX7!GQqv4Zafvo}z;*qV<#0G7=}O`n8W1KL!O70pFvN@5>Bt6|!AjUELJ&H?LJ2 z07-;N8|X!8MU{z^@X2Am>Y-P1O^BBVZ(tfe+RS#<-mLoN^)K}2UO|S(p;Cx1t-C17 zm)rb%qPkVduD7p`;N(OS6T0Xt!$mZ+8(HV5Fl1VbjhqiYKT_%|{O(qxS6Wd48$Bkf zNl6Oxh1@kB(GN0Yg!fzKWZx>jKlg0*5t)M^Js~j8o_Bo)nKH`BKUaAX1wvQ>^Tqnq zYxq0g0>*usa$rt<^3w&;ZL6PcInkjLH8hs7npb)6TtXJnmG49n`5MQ&ujM-X#3U}J z%ez@&1*_*MhaUJ8>3lG^v60cxc;kbgH@5J$KI~-12TuAW`NZSapUue4Cctt3-<0?( zmOni{em#ZwE)$td--NTepd<4_IKXJ84mKmQN|p}Nd3!~fOQGp&bxNWm>e-A(&pL10 z)TZCcM0k&^-^BnsMV%~QyG1{|E(tc@kr%E51j*XLt@DYMaLkpKdVMgLYDJh_`sDG} zr9;4HMIO3LTXdgXQ&Jdj8bjum?r=y{Hao04_X34|;iV70DqqmiIxi2;mx?$=dVmgq zLDDiZUS=$2R>nEky1BW{IbrucKP4sV>5yNawA_s`(GfoRb4a{Herf7ktP#q4`TFcs zn=JO;PVr~gq*%r=V?`fNUix|N*x39ASdJoC7HK^jd;ePu)oSeW1W(3zZYHF;Y2uyudEu))-&X@Op|OQmm*4>vKq`>by8pJ+!CfTz1{>8|3x64Eg!%v= zrzAkT^oPgA(He{O*)p_hhFMwWS?d0MwtT!!qNHn57%`VGFn({=dsjA*8G~$W?m)hqQ z;e@l*x8RA-jPWqLTrnm()9XOVJ-SaJezRpQ>_X4jbu`pCw4)BqGstHz#FP+rYCyrZ zskjO7!ME4k7or!cEt+)47`P0eqXK*c+#!g!4?JjKV^W)b$29hZUVp=_MzKd;Rb7by zLwZdeEUf{ z|GfY$92M~+o~}f}mrx`OX4~JOyvc-}p#cQWp(zB`*F5Ce7kYx5233C~`yPc+fpk`e@4eS`}A6rNq(F_$zQ!_w9^rS}R2Ll8|?GjlLK z;X|~Uc8!a3_WwO8HBd{~iw{_1o*XyFJRB=Bl70SA@l)9**bQo{h<)lfu&KO1lj0mt ziZitiUc4K{*Lp>jPXX#kdSns+X;hR~8)Hp5iwSwjNC>!p`(g05Z8EUkSQBliZWn}JZ7WHK7SHo@>*q<@Gj>-!jp0AMpOVb^>T& zXa6d+B)=(?BQv>j}J@BZtj zOc)WCncF$}@87S)Tf>H~|3$OF`ZPy6_)QqdQ6Xa>6CiB4r-yTq%St+kfJHU&H+3fH z*&VZ=Olg}zi%v^3Xk6=p0?Biu?DS=3KX4B}S{wL2+7%!JQhQAUr!OABwx6Hw2r}|7 zq|T0}Ny}&9TO=0!9@}Ab%ar+0AzgJy2UNGogA2eCek*wTQ*$VitBlwi#77!ed#m{-1^Wre$=zpTBlR29w zD}71f07G6b{kb@~~58j-_%ah!(v{6$@CNi5Nwju8h(#cx5;F}MEdhbY-NvigvF zVKim*s&0;x;xN;aUE0*{QqH`VcfcbCj1{=+d+KhFofYlF!+CM7UuO(El8OL-0ZV#_ zhk`uxc1CZiVqp`sc-|%w=7ubZMRbcDAfm^{=##>%E!VNp(Z>~I{q`}>5I&Hek444F zNz^cOT?!NFw%s|e^QeyTqFQd)ZaiV`Yv#M-;S}Owz>N$}j*q~qBVl1-(U;6ZjGdmA zh6Zq4z%r z`TpIPqjrxvZ5~l$5GeyTA((CqA>gn?#Sv@so7!gobH$k(;`_f-y%MJkAoes z>|BN2M-qBLCIcUQ%7Ar&$bs2-eQ$phM*_i6 z*Ucjc*CcB+Gwf|ixO|*sDAp%thMhA6b znLtXfAaCt4UAjf)X%`$i#-WV{X!@KX#|`F!)tdPdReHgZ)NHXzH0`K=nuhn4F<(IA z(d{L^G&StmK0~&41*e|Hw{HneF8$M_Wai@{kq8$Li6}BROpd*&+y9v|e0D`T&i`!F zM_lqdDbIGDtefOFmm#rjJM{@U*Y1CYYOir-q%Q5@3JB13=56nPjjjPSSi zXo$%}!{X=Xq&r3~BheL&vnQYO@`1gl6SWPHvC+}Id-su-6kR}#kETy~n(0MIU>`;= zI#t@J;zl{7vo_*yX!&{6R-p{B6VU0>yN}0a z*4+u(k7_x%z3+mpMeXql4J@%}l0B;DQD-%!w-hc{h zPkt`GXxN$;H-M(L6X**R0WgRFtJ(-+HG)b2T~RQcRe}Rqx1YXH#NRq5knt9@z;1hC zyg26cMWv!)(+SDZ>6n+1@-nnTf8NXhq8){|miQk-aBjq9GYR;wcL_eQCc`2{_Yk1b z1C}+}6OgX~^n!;{Q5ao?wu1|)KO`hA*8B;b=1-nTL4y*!M3rrx14x^V+9PC|M$+Afc3>P zu(D1}Oq96&I6giWY`&WdV-gf9Rs~ixQC0S(9@Jyy)>1G65=9mt1Ezm<^?u)QK|z84&o`kozI<+qZ?l0aBSQh~IomBIP{D+Aygw zIx1xIr5!-XqGLKZf0T0^+LiN~rt3Mp_B-zT-etae*SzaiK!EIu9g)+ zVcVC;RPfJ-$@N9UVj~2z!(Pp{#2|r=IzC}K0=yIp4^DGSYGbODCpp6ln)IMtK8eEo zd?^)`aJV9kJOSbdCc6jy1rXc8RcB#VRa{H}7EM_3$D9Jo59DhMcMp~6V=&u_6Vn43 zb*m_k2R}xWHhT;nkaQ zFcK9Q*k?eSLhnjeoI4r`t&29}c)OJ0nnh3zMyq&`7&DbY(jU}1S^_d&4z|Jc_xCR* zg#`)XE2)%W34yN_aX<=A2y3gWBgQP>n6?DP>>HtYSq~YUSh0D8OK7BQOBX>2&rh*9 zxcBh9yjmb8`$?AWB4eaY16!H5Ol;r072=Qua5^8~YB-ro*qNoOsp$_2#nbCIM&K5* z`MF5g%qVVz($Be8_1f?FJO^Ua`whAsu+B{--D1HYMiOKD-vBCtfs($C zbv+Do@1+68#q_HNP#sO&*tVKk%^1>0)UADfLs_)1LJFVLBi0E0GRv!)A9Vb3QanjO zxGDSyIciU6&cUQi2hqGhy)wASKbQt-K51w(Q>TDks5lYFUSr*?Wsd8uGK|Lkd8ryN zbCXQB%Q60YSTfAqfO$fma3l8%yR@FGt?(Etes3APLgH8KN!N}a3c5c{yEc1)%pTeU z(hixU7!#IdT|$B>-}+U=aljXua&kEDG8bny_naJNXuuH*oJ(nV1B|{Pk;+w@_`{&$ zPm{?Ja5R%!k79mqTTu{`9RWnn9MX7=!2+&zUh={oS55g1rBhn`FVM40sLe za*p3c_!%JIKd85NrjDl=@C;s=tP@Y0FVXn`jR{bN5{F!&9gU2ffK&15m^I(c5E&X^ znDb7a?ayU0ZYB39((tQb zw2mi%^a6B@N?rzy{WYz{xVZpa&!nX2b-iCQ9&|1+{m$DvlCUy&H~f4>`fHB!7DM`% z_B;%-`e+(i>D;r1C__?d&#Zk~QPHhtRn<>_+-lbMpGWD@Zh;X;rm4bq(zBCI=oWyc zS$o|Qo}0+|GXn9}cl|axn{Q#`%A#-{GY(86B#QmpCw3nEEICajoNJgE_cS%L9f_kG z46l;(ce<>e4ivqFA)WBM$&d}9;0Tb&b5nP4fiiNMAP;!M51xx5gNQV9XIU4cgb+?UPXa1@Zl$_PMKM z_Xxman6?o)SSi60wJkpXPdoL6cBhs2|C*_(sgyzZrqH0gnlhFOGiFe-BWass$4W-5 z2*Yg7W+Gw22pspRB_)K=G*!N9r0SekP>{S+PKHR$@pDiiV0=(4h2w{50vK%`@rxp5 zn@g9GRF}{CF{6-hwK4!ciGZJyI72*j=>H@W|jFl;nQ(^d=!{53<6X+DW-K-<$M&_tPKc{7MI>|%mI1p30yR}98OQhj39)gFU z@H(&kNOEoyM8H2?_qtqZqK6}E{M-5YJ3~C(-A0hfvyv?d9Z|y{4bDM6;ax`PCva5| zyg};5Lx(1Z%iqPEC_Fmk3|R?w0-v&7Pac;h>gEps8@gi=5d-KjlUM^$d)$?u1nX;; z*@7Y3QD{DT0rA_ZngWsZ;zZZy^pT?-HDhJ!OMg`OQn~d@VqkRE5=Kp4o@F~$Ful5- z9wNU$d8eO45F!SO_(o_e9)L+=yGG&JWY)#UO#f*csCmjm34KASrwZavPH>oLN9wfIN z7kO&*3avPi%Vu6OqC${x!!+;!0*#=#8j;m_-J z_k>sxEUfk#4;`GiwN(PwRJw5Jgb-@k?3b996xbKOB-=AosE_n8sJ>LL0=xxL8mJDb zQcBA}AsO;YKHVeCJIBwmKkqJ!Xq5i_W;=_BZ_dg#kbOOjwrNBZsICwt+9zh^dFK6)Ox!LXi5M@*JL<9Doo?RO=4 z*YG4$^Ybsey1G^#|6PtEMjCUf_E=Os{CEi})&v50${(>J8=724aY z3WCH&I%ZZ`)tq)46se=!oMdPs33wjvMIS)srzXb!8E2L(uWFpjpW;8Wxo^#Aq{}Ba(P;2us(!Kq z2pJAG9guH)EF+f()2I?}JaicAZ)$2<03|i z!QB{E2?GNvp9V^H{n`*@DEXG|DHZT3yf?;#`hOu|aG`uJRb7nR%5 zBZt9}w9vY-dl4@PweRZcV)c(s-8%LskWmn^}wMSN|orH`~;LubYw{9T(9`V;sG`x*%TF)QC>c zClx$OhN}h=%oLi*e%zg1RJ9$B#f}7Icd@$yCEA^@GkVMkYhZtG$k}c?xyPm_MAJJh~H{mm3LE5{aVxu;*%du8WVo z57_uC;zvV6tv~@mfGoM((FK2MJGZ~OVs9Nr}q#Va<>NnN*F+4 zCbA1i!jK`9oC1^R-cga*7LGIuwL7jENMXh3mnIF9Ytqt-Ofv+I;jI~tn8^L!SY5ts z1TzMKDs{x?QLMUeUo!A7KfS9_+ZX|rkAHyvAA8SR`xLWe*SUCWNzC{9b>xw>N|m0U zfXKDKVIjN<%`JS@L9mHV)h{0j?EFSG;!|>Hy_BV3ZTMULDk7>0Fl_q1nzhdlKqKIk z0(5c_f?5(&E)t_;1RKC4Ov^470fdmmL=jg+BcFm0<$&yTZ34;Eqo`AF_;Z98fhT`& zL+S$SYXp)OOxa1&OV!tZc&?s=&K~0_8FH{+A7u z5b+?jZn@Q*etL-NwW=P%#?3;EjovtXRDB~Cndje+T$$AJ>D-N_a$-GnCkdUqp#K9NPKK4|aAVSonac^cRzyj?54T~8rG-v#Z-nN;xT6## zb2xYEPmBpr^B`n-By7QAFk+=VypLpuz6MYMIZC(FR-2GWn|rceSw-ZOADr4>1nPzy z8;@ib?<9z4`C5hktQ`-^twug~4?))>!R8Ydh*uzc%pRUoO#8Plf&#qbD1a;!J$PJp z!=?6`ip2hZc*!D)zrQtu)N>IP-0TBVHhPN34xG8nu=x@+4Xyy2e=E9Y?F5wwuaMuxVVam<)r3iH?cs z`b!Gv7{-%8`&G{2#!^LmL%FSA%`qV5;msO$QMqM*%6KzP^OEym zYU=0S#*DeGtt@=t$Z_k*9z}`JF=B58_a?~I&`InoC`CTg$UOUhKC{n%G6mRSw;oIFHK&v(07nx1{sNF^`N(^EdbpIITB=w(K%^e7 z^AZP0?u!TABJe!~Gtp>4PYFe#uE_}vM)D1z)sr8}^id214Nk!{A3PN$8D?hZe9+)O{ja4ij03$hjJ z{^aZ66l=c6+9ojD05L{=#;??JYhPgQkX`wyw1$UDt-SYgb$P3D@;>GVgyj6It4FjW z7BiQCk0+-VvugaI|5?lk@lBY|#Cc}>opHn=kh-}Hb3r)44(lbd*bkl>od%xjKYUK@ z1vGT^td?IMoXwA0tUu6YVtqy=k%KTZRlc*2z{;eg!uWC0e>!&ux-ZIZe)rNk%-sR{ zg;6A!&pzu^$WhI+`yq2dViB@vsJqNCDOQ43p*au!d3=1Pvne^%SD_)7;4M?=d6=Q5 zIbSE7vx0Hn(A^kHenjP$9yuFDQoWS)cbPNUi!QL^7_d#b?HRUVHL3^+WE|Uw^@cse zc%J=#hANczrI)zkt`DyCcb-m)f!*?~jS*?d3WH)vXvj5XT2V>Ykf16Txd%I|zygl) zI-6=@lo$I=+5kB2|FkJxk_98FWwa)i8z=D>@C(9c6TCS4v=Q)(?9H5Yj!0+f8dHyr@PL;%8|b*ACv6|uKJ z>yTwFZkX2({mIX9aea0l4^{8taf-`k??N|4TADip3MkZg&HSt2t$-X>BDAw~^zh+B z128hc1gq6Zv9v$p|I>c|ua^hLC7b<7hFP;*QnN9Eg^UCRn$O)&O057d#fJ|#&^nCY ztpaHtacWLfKbt}L(QUv+($SsJW~flcF__$-{ChE@VsgTa`OA(|R?qciqOdS15fOQW zj#Sc;k(N^|=41FXj}-r8{QB?Z1D|%GQP44(=p0SN;JZQQs@N#7;^8JR6xjigY}vIDua z$x@U{zUKzfKaF&4Bce{lq#Yu4BTDAzEG`N#{MG4*jTeWPn_l}Wj%i_OgNi{8<;VLKL%nWq<{_P@Qd zMc{InkW4JoG-~sDYz_mV0g76%Xwx>1{qVH?Gbz;GZeMmc`4GC-?{`pn54gWWq)F`y zYoNFUF1zga5FKgM`zb`95UYQ87{SP-MucXA`dWU&kAWWoyMh3%# zR3Vep_o8q%)bpXV+W$gzHh^FdQ6bn3jkL3Tnl;LYbAg7D^?x zyNa#O#{fgD+mbzjROeS2u$LG}2>52HGq0t1Az$+^DC-dQvQSLvWG6szlQO>o_h4k} zB`(qtay*uX9|O1BYd$}1WiBs)=Z7D{e1JlX+C>=oC1Y?^CoA_>J53H5NO3^4)PKl5 zT4$fZo?;)06Z`pVOBNxbbQK^TsQT zQab(a1wSfyf6#c{Z?aVP$@oC^531l591JPsI^P+mgF2kr4P!-B)f2CcEf3AwhW0Fp zN!I^d&fBVS-q(Q#AqJ!%KnB6BE)+{v~>p8)lTD*!AENNT_s z0PKHZ6XBE~pa0>8=A3IGHYVhMw&;zwT+RVR0rdC9RbtS?+c%PHxnNJv=M)6UNUPF$ z3eAeF$8X)=ASnKC<846Ec;uu322jy4EwLo3E-)q ztK|F_B)sSs{F3+ow)50ho@&=O^xsM-ml~1irG$Zh_BjuaorCo-JXVc zO{5l7YfAoBLH9nnCp{-Gw&qLDga}g#ydF3W#Io67U7`@tXNQjhiSqv>#oBcCxq(o} z;%F^xJw60VEEd3Hk3JyRnaJWaOz2#-6ao$&u#$3J^VEX(k#rd=s}^Gf?+myf;B^N` z2Xsj}v$5q^4Fh76=$8F1{z<9PD+1ux`P2o}TS1)QpSll?4Jbjea0ISKM7G0cn}JGF zY`Cq^6J-c(vednnmH$g?0482g3>|Oi9EYX|8uaY@LBd}6TACeb`S4$MYkb0MicKc^Jy_R%Q^nQK6-Yj3Aos5bge_{G!PnZb)Y3J<}3QHM4 zUw{@uENgM`Vp~SSn_(;rV|WI>!lO=lvgwB79Quau3oR!s81xJ18isgsCO^1f%|ajQ z9*R6|vQ*O1(P{3H%r;pX9v*&f`bxPQ7RmYLVGHBrlvX%|2x0~^6klJC?xsbK%x2dGDYrc zgK0GHEaexv++D>p&5s{*V4uRPWIE2dC^w*?d3O_mk0A;M8#SX8z~}&>2G)ME-M2Ri zEHwZ+3?FAEQ9AO0+%=s9x$E2CnjLr*d!HkBKR!+kzg}z@e9pFqkEOjB!1;glls@?_ z>>RmgULm z3h5s!kC#0L2v(i@F{zJuZ@&LIT#&NB;{eDRMC?!c$`0TO+3~2Va!T#^D8|>y200X6Z6|oC4P|p>psvdO0Yyh;c&67^150gPTIJD>?ceFE&LcL5C z?1GG}{ZrqO2&qixb-)CSl#3-`?E&jE6U24`UgCQGz5A?W1m*D6flvheWz_UT7w{fJ z)L)jOv9dkjS}J!P4&@srQetNB8aBf5Ilu@%%?Cv+@wao{)qIfM5i<;5wcvqAS8*Mv z2@yvrFFDjvR&x3!9v@Q?yjAe#(L{E__ zd}(-L2mVmMzD-sNT|+HW7{J_|5L@JFyn}ii&_eL?0uToU@DLvzlpA_7^W<28W9{*C zD^ySpCWh_am+7A6lTP~A;5(myL4u<56h7hr$v6}|hjE1TI|L+W7@4|vJO9>&N2o2t zOt<3qr#F;Cdc#!NXr!HwCczdrPie3H0gz!PD}IVR6p^k$G714~2GnbxC*c9-zdUCV zkA*1Y*Z`ui$j079zuQ=d0-Y#8vjGhn@X}g9@&m0K)N(+JOuw^43ZqF)NvQdLE3&pS zv8bSeV6y!7Wxq{a0hO^(Q7>HNFG?xIGE|xO9Z+(acz4t^kiy7^`|$EAAR5z@Y4?j_SepWy|DGqq%@B96y|l zBJw)^(Gko!yE3>hPZW_?aO<`P#nFDrux?!~W|FAm3YvQlMm8TsKSm^e#|7IBVX8Q~#pngx7wn(g3GsgFmtql-mS2z0r7)P{8;BAFi z3(mOwd9&7l`XG6(w01NB8$S>ew}>U73l0=WU&SXKO0_fh5Jkbd*nZd1qS=s7X36C0 ziBHW%0rr^sam;mI>z_LsqWyL@ANNmjFH zvb!_i;sYd;xoluU>+4zs5_Oo@1mUUmO#U_qSzR126mA-f)3T}$L`RbhNE&AeSNx=} zg|PsX&5*hc5E5;!H)2C%VL{xy|MhPhB83}4^QnI3kvtr^p)l4FvE6f;P?!8ZRvVev zHz&sn#KXUqEka*1rA_@jnNOnjh_QkP6iauDn8*k~)B)AiLugsw%i>Ax{DVX}0TKn3 z(1DzLcPvb}<{h0x@we0IombQ)6&~(S565*ym*2GE9#kx2;BGTY(dRK6ta}XdGi;S7 zemDC)Cz3dqx*+zXr_D}&==L$K!$Yf)m z>&}n<`kk$XG&<{rc1?TJ8hiqI5fWaLL2mHZ!pxs$rn8fkj-;3KXE=ohUzFLT)B!IYRX4xPjb)bG!ea` z|MN%Y*kT)DUa`RP$F#%}t0kkmP&6}l0{lIDzs`oQtd+ZZ4Y=YQO)#L8icTyUnFR~M zyW6^U^Po5%jdkAQIN|Rd0LCIGoPKuAskeio1T32H>gzJ{!=OCz zoE4#%{QsJ|9HX7eJycslt(8VAz{I5;g)JFL zi2u9Cll=36aj^c9{H5oB&`r?YV>ic%C~A7AKb1R}R*6%Oo3Hy5C)mGeJ@gb-au7B^ zX%J$+jsDYr0j)m$mj5;P)|5<)RO(>!bzZTP9NT+BI9Y~5&1t!ol{*l>EiP@1`%2Hx z%-v0gJmg$1CYXqC+)_lwb~#u;xVjV{8QayGB4u#j$4vrN=ckLf6s+ ztR|AeZFoooVpZ$vKl$hH>`mLYcr7_mrTMg=f|f^<6L=-&%d74yHo-$ar%ZIPI*p=W zo^OZagTxnObJM5)#FwigB6?DqnxV1tEQrJskWH8@fp9HBe#`Kn92CY=z~g9!>0k;e za5O49Zw4|n_@57oZ@?^{IMaW3^&u9`!Vy0e{}{gT#{EMZDUT`m!i(+SN(rWi9qS8d zO(d`9E*)J2oy-CEBd$f74bZ$cgM=3P@yNLpE^y6u$Oef#VsN!E__75CX(>biJ62%8 z=Ir<1oirBaIs}+&Pl=dh&Bz7h23H^uJ?!0cT6r(+HC7$k*EbiM3xUXxH8MVR-0w<3 zvz~s%Q-4HPii1MLB49@ZSa3NEJDvBT_WV6o_qRaqhdOi<+-(*$s>noZ+>`_d1ql<| zKySvlVjJi$4o;$>(~hRCO?jhIoZB6h1|lNuspKh!+l|)Aw9ozbRQuHzJiTBs1oVYo zTin82XscCwv1r&D!=}Qn7E5;FajQ(`Dl zpAv@%$huOv%>CgkVjeWGwt=06GmK79mb;%#p(6*FZ5>--ekoi4>tG0AdAvP&fv07R zvmWL(J+7g%>}t<9bT10t)lAj;S4a&7kqxx#2&%UD0~{`*NyN(@Yn6MrgUg#oA>7y6 zzH%b-z*%bKl&~pMv{o7j3pa8u2(FfS6L)rbIj7~q7h9g6ZvxSAFwm2_?T+Dpp#gHz zh>r%SA(09f@QLQ-gv}hs(=vHW@|7p22$?jk_$H|(;lPg>%n~3uoB4JPDp1t;UVcBW z=eT(=WGCy*&a>u2`FBBXY;IveSu{YB)^+|~(%9f&I075y<#Ar@gIes_&R#PzKAP$m zfnMRO(8ng4^i6QO#7;NWwUu*-#*Us462@n#?B5Rb+lNy(RO>)2@v^A3ndHdh(+~Le z(6Pe&5T+2wfa9CJD!>dNX9cJT2L)UJsIH-jL(a*&)>9C7hE{;GQ#T0iN93oeqk0PW z=R&v*0}WsRD)kFOzaA1MXKY5j+WcAN>-u8eog#ONC}4(rHP!PS!sJd37-2<{{WVw% zpgBTF=E>BB$uYnM@T;CmRkZ#KNrMCx7II*cS3{}nj&C40naD!)U+@5jlndK^Q&EuC ze(eiMOK_X6qhPZ(y7n$PCPFC1>xMtK06je)L{kl@>r}bsl-$-TL57kc<9=rZ;{;d$ zc;MdlUw((wR(j8>KmA|4hVILBXf#fmud36KKP%LW?QLD0tBdC=HHNC4`IqYIaNoT% zy>pHQ>G%G^KfD8#E<&3UrB+6!rF{Ld@x(CI#d3(ssUGCvvDTO3r!R{j93twd$O9Z9T~1jLO_;t*zCY3#B9e;AVe;%=$(j0!Gn`aJ zPx+wj)z8!Ejh~W?z}@+2O@u0&YRA?aOldz58WKAHF-&~|Pqj92j@tR|Q>&`wNv6@$ z*;yIAVla`oIyEerBEZaj^C38vfSend!f)@}`jKhT!CSaerU;&r%Pqry+w~k+*0FAv zoC&?&HBJC=@T@39^XgZTDF{q+aD3 z*hqQZzx2mkHS<37G3r7HYB5Y$K0X@JG&$!VN;yc^bcg@qZ8TC*SA2M$y*)Y6=TJ3X z6_hhMXXkC6Md!XP+?pDvwL0pU=Ax89n=(jTeWnWl!0go{7y-dt47|_LiI3g<&w-&N z?t=zKJQTR9ARcs8^WlFcXjd6eQRFSYjFIws$`mNwPd{G&dyfNo+T@hN;q}Rt(up!i zU@6$Y08Yc%_jvr4ArI=G|VWa49~&^PgRV<4>hP#`t> zQSjW^$I{YJ82aM8buf%hsXQfRe7W!;SbUkPw%F>E0Af9_K@{wHEEPJ=wy5HC+PK;a zW~#_ET0K9*I}L6}T&(I!drg|t#CvJK4GqzH|M?_b`)|5Y5x-KOT(UlSvcLe;s4%w$ z!R47$5etQB8^mV;nnxZHJ~$8HJ@_A49em&F4{lM3ur0PHzFjBUxM(o{>2|R1vSE-A zlYm}LMJ&yIedAA9+V{tfD?0LFu<-)%%35py{z!(jD>&eAU&n%nN~fv*S{>KGBnu(H z3e2$L>(2!_;lJ-X@wS-1t=$(PYV|Nc{5ZuFGx3tr$7y9w+U=l^ZM@#@f�NMHCcv zhPq8Luf?SiLV`RP!XW7#gtRcKh&cg`4E#WvrD3rBT{H%PTrz7Y)ymOL{N9FBK_Vbq zlN`+e_2*N7UtS-3Lt55wvtVfN>Zo3gu3=ILbfeadBd98R#++bZ+?sj*trfFr&anfu45qIpsq6ubEWupz`pp!0lfTtbr*sxebfSk+oo+8*fmj6}$;hCjx zN^!49fp%#Ex~C&cl*rpn8?UQMc{pIQFj@X4pHIM&FfNjh27Fq7^}@Arp>VAAWX#bO zKhMuUXw~wadkDIrYm#(=5S9e~91Vp;;1IxWmGxa<-q^lTg+i~O<-fQnW?gUh!jVD; zr%T{Zp-0U=BpD7}8gl6TcDr@`_Jzg;+MprP^ITS@rJbXVeW1?B_z=q_hd~M;8Z4D{ zFm8mzhuD^#j0QOFRv~D&{X0Uu`k5AsPtxC63EA`+sVoFI2#HRgA5q~39^IuPOz@a) zHK7MdHj9wRnJ-qOk1rzM9~$&)Qkon$!RY7+ksyFtSIKRvYDi`d%w4kskEH(?SRAcH zDDp7^;Zd7|8tv608+zCg0(v2jq5o#N1m2IYf}5z~>pXDa!}8XDEBWnfUu#41?BGkI z(A?Zub*;#sLW_#TU>yjdFk*O7)y!=4d;%dZ4oqGs0pr>MHg0g>Zd#z;X-%k6KYnwy zLE7$~(hk6@&-66)vWi)@#d%}llJ(WEz59Qv@!CiTyH|gEdjl+B0wrhKlC*TAC z;)I_W&msYBySO;B>M-C1(0?B7d0Y7HuQ5d<4gO%M8JR!vEDihPOAzW{dIlrc^wlFk z%MiUE43&}?PQp{WNEE!SaH@SdfdD<15dUIiw+{EfDTMW=&t;&aCdbS4ZcRf1VfJ0b zB_M#73PkIJBXv|r#r1X>3CrSmpqmFimng%n+6FESaOBaphKgJ~#WhVC8ZlJ%d!RaS zp9Dtqw;+?Eb!-!H>+TKl`(MZELqpVhCv^ge+bb;$j39hs3-V+}uNvw;dnAEezb>(0 z6RT>2B#_*K*#F2G;uL^{@T04g(0RpBGX8a@TA4^S^RvsOBc8L^p#ONdvucf?j~PM% z=+|uh$zVZMq<+_an$^KV5m-X0X|X!)UsuQ)!p6cQVkl1pY;4fAyGJ*n)F)q7JKEX0 zNV>NAK3voOtVq*+lItqyZUf`(cmS-XVnoV-@WQwlh)C4qs-gG$ZT5>CL5-%qJm>uH zl%!h9L@>Y1kW~y-fsh47U)|B%9VRGY4em+5buf*Vy)=_C^pGzYBBCR(HoyTHNZ+?_ z&nNGDfJuBw2?ekX_+eJTCmR=rA76VeC~bVMWzO*RZ|8rloDivL;`gv-+~v&Q5Oil( zCJW4o(4*#hSrOfU0=xzkfbJyJt$N{L(}6gofgl+{1VQ}tH}S8|oDv09GI9$5rv!2! zqA;B4N)u!fN9z&nSGnTDIQ+@J%j=B8)IuNQ^8Tr$Q1wM=O~s?);; zrDp)XNU56LBKh%SMOjeqEIfS*6qLqreRbqFX+avtJEBGu46<*;T&NBDjhlpl76`Yd zbwBVF0g6HM_0A-L{1U8|M8d_@Gt}svm8&8YtkMylm$yz+n;lXoDbQ0IK{9bqsS3EA zQ*nX%COVF)JU38!B0OT_pji}%N>PIJOwZ?;^#du7=dN( ziH_@GnR`_a@?bP}XJ&z=O)zWSYu8S)T7;sb5>gTNm_pGD4%W-go%X<5Im>gQ!5C8c zz^VB=&k&x;#;!r$PIniMpSMDFYy9fopSYTaC1=F}_h6G(@ec-JrYgm(ji(unU?O5j zdka_hWPB2zJ21HN{iF78oaKgDw0=4W@VD3~r{dz-QA*A^1jA>1iVOIER96BOjFu>V z@_p1gw(j*mM>~E5Wu0|bc)p?UKT$f;`m6+)Y2>y>1FkM}J{00H;9~LBBmWSoUfHN& zp7H=TGB0ug$t9(AuEZccSzc^bW&zZZ$VB2y8;MO+vmSNd0OF(D_qzT!E8_RKvTM+H z-l^0gIfR!@Y+|_U4-uv0iy~EX`B#yNiA0C@7G$lJrJ|{pfD{@oS%l_tJVRmbwCTXC zL;KGElXs;b(~vda0w;LFdz~X(E%!?K?Cfnl&tnezQNt*c>&Y(H$aBT9yE{wRLmLSL zS-}7Ze{wm-W5eOt0Vm+KUV;lAa%#RN3DMbV`#0MUcMFYqFkc8^B+jSVD(sMR?CenZN@OoE4UaTWJk z84DY#u;Q;jW|3Fxiuz2808qFnq%8yfs=0s7-#`|4EmDq}0FdRe0Tfs9v()WTp2Cyx za1M4$n*c`zehkDFxvQ1v%UD}#H9M2J5YYg zMi>kWKPgqjM}3+XuUhUQu^+9XeYUJ&I+es1QZ{=LliVh}uY%}U{zy7X5J?A9?z+%XW~_B7?}3osWM4f;-ZV!4wQx_~`xfW^L79b29a zu8dF_*Z|slKfwopDZho2qf>J{gRQwst!DMku=mDZUYGHmH;ra*P7YOiWdaO%8Bqxbg1e|4Ao0@P@`eJ4aC60V9be##Qm9Ee6l_{MAk_?`f$N~yE! zgus~c-$K;6s?E;+n6g@@maC|z{(6lLKvguq0HArW`}2>#0b(S!opO^gSjn;z*#2iV zX20ek)xxV;PzGN6IsBfne<;J8@pC^Egd?L~yM~fI7R*tO7Mt>TZ|x1E_m_=< zBw;Sfohz>MKl;ipsVF|C4N6tSj(cCmlu{^!0j8U5e)4%jXJ_@6W`zV%%^8!4A5IRv-@ z7=3EkvCb$#h)J+~D=X}M@9ef1TKmjP8aLSSH#Vj)eaNk$3<@4<7~kpl7|cRv1$BWx z+U)TxD0C4Lo1{oDGJeke$P?PAmW_{G*4nKt?%1&0yqSw(GR3}@5FU$LqYJ6S@<3|# zV3647-o3@*1ZSB{jmXeQb?N`e|1uSUZt(Wro{H4b-U;NHm|0M?R|a+&-hW9c6t)Xs ztiTUDX>_+K)JU$3I_x`mU!AH1m-H=muV+DKn`VP8Sx;Jj}fx|!XpJ{ zsqf^yO!Q)BPaPh0_x3ke+`=N1-GZ9Z%YbBQ{HOksn-!*%fE6*swLi_sj^z94hh>;e z^k%Dl?J>LhtVIW|#c(Bdpv`xVoFZ&8U>acL`F2~EKtJDsxQp1bRlbZNpZoUc8y=36 z|F2$i(ivvpU%q?+L=RcTmNQH74=3~7k!%#-xwv>@=73j-QbvuB?8h9eXGpW`_XjHJ zj2$^zFE}z9T`O!4#tt&XC(`wo-;o(KFXWH+}1?qnifBO0m1A0@&y_|!!v;O z!5W%ur*Uv$y!}-(y9hiWpJu>o_?eJRKD}#jAK)bqD#tp0Fo8U4sd4dpU$bfEIXMbwA)WR4FW`T0&MQZhM(-WLrxtCG~>ttSDmtBg!342~SoDrG;py$)8 zd}{}oSXt6{MMeS?*v#y#sv?%xL3t7|zH?6^%5Bh{xUgY?<<%S!Xo(+vHG_Eun&P1WL^v`F%#X}!qb4}NFB~X zkCAk77s(K;XGJbtG|IY!u@ zNrX{?sll~t+`o6tgz0~K_%`>bVQ7C-PH%VYt@O-86>&R}4!B^^zSrrLi*BmHHX{WD z%iS#_M4GXdD|M@jq@C+!-u~PYMyZyo$|d0!Fr7%pf;g;hiUDv-?Ck)=7o$|5e1j8& zr>A6fO^vPlrNF@B4Uh~N$6)Zy@3MvV11e<&f(WlCZ;2#a`8A^v5`s7zg5s{gu*(I8 zT_V+T`Kov$^@U^z@MTsc_@Jc^_K^ice3}KNEYA&+LvV2bI~wo74p^0Wu$I=4vAs^C z_Y;t*wlS3pZvHev<)#2_>NrR|+4C7&SI3AOfXybMIU5q3d>7>-F}cIsD#FMwS>Mw% zt$eEc4ce*_Wb&!4-Cg_j0vM;mv2~Rhbf}z8RAYTKAa;0oX!z<@cScr1IXd0FO z_*(1jMPcw|6xOCE5?#F(LRg_*1=V9xNW@32vYYi-2hel>vU-Pt{H0YTz2ej%Bb`I-dY*l);1XsXdDuI2ysW+UNb=-8L0x@K6Ah zq8kiBG(LM^3WR|F6WRw};6UIB2so<12vF0>=s*Tp`vaDK``wZ$P&sRU8EqiC7{)Bb zo4fJsk6&03;>8Xp1ksblCIH~0J*0ovz~!AOIHn*Q`4IN$yMN@2O3JsM@aBH0njoEo z6-Rze6Yoixb8Wcx4yUAP`15LPnUWg=JGB2Bel6#;YahC z6#%7TVKN=8ReT0JxHzE^sQwIe;v&cG=}+l@=)@B_zFK9wN7O%NvByy+B!rzgaGC=- z_l)lp>qo1K0ieEaeTWyMr=Kx6YRHjGyqYd_!J2!i;ta1Jn96_d$W~wj!3!>YT|891 zNoE8utHcu*_67$yQm(2?@NoVi4+JFq{F^-BZo}@)<{+C)K1F-f|CG{pa z!6HjilDL4R4{KPvz4_l3VKrjy>nB=vMvE@^?W~HTlmrH*)DSV%Ag%`we2VD*CKfQ2 z2(|)*S8lav&9L!~1pL$pgTYhr$iF92NRp!tPSH~z7&77!w zgeauMwXoLw%Pl5j5MVVD35LJUJC7GCAMH?~wI>!_RlIhGq-%e@Lj^ivL-+Q`zmvFt zKC`R8SoGO6<)gS#S`8kwR$zDXN=H^a|Oec z(Y1#cD3MqGp&tp`f@^=mwm`Yvg?c3AkyqZQoSOB~u982H;7Wq5|4&iFg_ zYvbAW#!bTL<3U4w{J}^S7ZOMT$~x1=1qW_7rbWuFmMJ13TTN$~4+Rk9l4yzzbaNv{ zCc(@sYJHJsFY+;K!#)80iI0-F$AMc*;sTxLdYO*5OX4yG=z^8MX~sp5X1@6AvTeeB zWf`<=?j!G?kLG7HqO5;*AGf)g?hTxq4eZH#YTL8h@Hp~k+r~$^b1%hie;^?Ft7kCt zM4vf^CVwc|TBtC(E_Hvep(;i|S9hzhW+$NMgI>x0v#KOo-SNG{l7+QPBr_j~l>**| z9@vwAj?GEWdn^jgs(jrN*8Po17WaOB}HBte1CX;G}F} zq3r6lJeG>$Sl&k)UIp)C^J8Odd$Sl|0!sclkp>!nTbT+gcPDkDE&blM?- z@c1Z)RMI$k@RDmGUEp>SI{mB5OD=Tc8B){TX_WBQ;gzwcE@OU3E~V;i*05gqd|(3A^k3@Ab%pu@m}H20iRenXypR8P-Z>T>_0X)#@!>}NgW3}UUz zrjfQ97*fa=nFv>jfT%TNsRB+THgd zkGn>_8rs7L;}aWqo^2BI35nUvp1U0x^)rAOa|dh~Z39J+cR0-!AiR67O8$w&OG>+NVx9iJe8a|L@RSY0SezNEv01k zvw_5Dw0tBL?$-vU*8TIDFZOG}3$>z3j>kBpc@}=ReS5n*F?$v_S}2qX*9@<5Q-V>O z1-EB%;(Q3jP?>7;PkZ82vZ&_+p^=4n)qvKuStFD}(D5SQ0Vdv|KE@c@pGTkN;scKx zqe=quGv&vv8^`NzV15c*J67l7c$}7q77_OU9zr^hSv5-S_oiM#lEPQ(Z27{jcx&6* zEN7xIkn0ywkH6m>v7;}eJW)FD-pE-5M|AMag$`X-m%^jlHSP=7fuxVG5U@S!={(Vh zgV1%Q+~#zLUh`Awc`-Qcu2>8R`yJBXbmg?EB{Wg0YUq21US9jlt zQdKQQ@(eivxrag>Nj~>2`>_Y_v*R!VgA24(W5Rg_+Th+JRnm{UaE{x)C$X&Oj5Ftm zXx^{$bLYUZ^uo=X+%RXvTpeg}zK5Uqc*hU-jYYylT~`PL6a53OCvzR;UN>!Vt@GYZ zi=tmL+t?_43G9nOe)FpT%1Pg?Ukty6K44bk-MDz>RHRfmj3Wcm8aF+HpLsCW^-NS< z$1Co-I+(1O#NYJ9mXEOcobAOMO4+|hJ;#y5ea-9|Wd|=sqVdQb&*||o&)mFWQj}qh zYC?8{J;s5@B8a-L)9M~mJ6OMb@%tQ>W0h}Q(y!sQ^x0rm%K|qam zk|5${Mv?nuzhI{{yR#TI#c$14R}&jAIU@8+qG<<43=kYJl~D-cx0`uH9s zCx<#V9MV0%oT+@_0uBYU6qUqsDpg}{IamlVeX-P< zq9}tqeY-%<%iDm!{QJ%J!sHj9wBe!Lw7WW?8d34Aw$Ag{n+);OiY6i2M$}WejGdfe zgGTY6JVi6YkV}Qk)=oaI)^jI$ZxX`&t zj1LbLa1dg5;I6@uMDq<=w8RgyG&?OR0avdLLwfX`X!EVmNJ#T|w7MpI?&Ex4P9_(+ z`@>w7Vsa(vYd0P8nW8KAQ(SDARd%gOIx_Nq(Rrf0W-~oeh*dQ}0Uco1G`lGU^Jsy9 z())I8u#$LnfilysLf~ZH2CY!QQ4(6wu!HV0NA#t-!|9!sByu*>U&=b;UY35tc|346 zThA$84!+!x#~Jm-`lHaws2O*%$vxb)r+i6?`1U=6@N(|+XXW^D>-j4wy3J9+CXSz1 zg&Mvp9JYB3rnRi>qUtDy)=lNi{bX2uSQ;Xt_`nuJspSoh zDacB@O7|zOJPxzG^l7rKnd~>e1gGFRiPsOga*dd_iTsu+XSyZOJ6Qxl;#WkId3jgP zcWdVF1qJ;2QgFgQ0IZASnWgV{c4~qeROEAUq#eI$opd;oY!o6~!k6a`1o)$9X5;6AtbIcRL-2@oVcR-h9DW zy2ev?UZG*^)R@6JYz)RD4TwdUiSH9R5gh>V=qrg{apblQ%1*Qe2K;UwNY~V|tjf^7BqbS|UTUP06yJl);;RZKjk5N{9Y_CF7#fhOJY(xmcPY^I#IOZhVlCg%OZ z$rnd14A-(LniutYR)qo})nzBx&Oi_dzxxTvtS<`7a~6BlE&cjAiHA&*qB3<#mEFW8 z>$ylg&9j5vXifN}e{NseA}D<{b&w;c7UD)@X!(S(z=z%wJfDJtgQXX%(lRp0YDVir zUm5#NR@I#D)4y90KmCxF1P*?_m8wy#k_V>CNe$l2_qelFg?me zvMbej$ga76vTOLC>?$9tLuWTn4S8l|lqJ|%XXUZjb>f-bZ>Rox$k^GUhh%nxPq1wp zG1-2VeQ1Aun@!dO)@iy%*cHI@H_J~vykRI(eKTCG zwrZn>6(SABb-~Hf&&-^8EA>Y1+&f6Gg?lrMdaVzkK640uMiHFOf}6KA@g|hP@=B^c zzeQ%V?q%2Kzs6Buou-z+dJ)XFsHs^Ggx42J8{*-F1w5n*rY z^-y4q@t38cqHpo=;LxvJcA%UBvY30ehmG5%f>b85Q?v@NNPMHum3yn;TI5lMiD9d^ z!Q}BdDhA>#x5z5HK)&9=(|1p*NDIXl;>n;kHaD$6hz|O`?6*R|8@u!N6-}Z~T>P%?u@PnA9s4ThyP~35uXyMntJ5y4 zt69qh_MpQA+3{uef}Tk*O3L7e-zO9}EkQE$7dN}2mh$Dt_;KMm8FUeacs>^|o*46* zCI@`1cI*4yof(n9s18=&GfsyetMQWLI+ zQnG&?ig%INtNwIq!(62Lo8o&dFAC=|-7^kk34Hr@b8ggGfi5SvQvX_=yTvJJkFkQ4 zBsGUhS8Av`&6@m~(DzUhC5aERh1j9OOD(--NBqL)VU;hGRb&Z@M^fhAGbayz88kHa z<*C7*O~m`5wzgJR$8oILc^x-54C-!?lDMhgZ5PPm`CexA+DA1N)lffR=*^6dQul8k zJsYrnQ>5^Y%<6L<153X*(x-eq(pRT?$haPnv1hQOyP+H|!GYTl`-}p|*2$L$GapP| z#QkGdz3i#hr#p~_H2$2+Wp^;)#D0;z%>_W?5c60lKf|E(6W8!fBShYh$zrF(^Shtj zc6Pf|?cdLk8gS@mZ`E)jRc^vU&BUpzsq=Q{8~YV6w~bMsdn^CAHU4z2C|9UbrAk4v zit=&n-5kxnD{|Y)9^Ib-4>H%MV0nWEDuXb9QxB%{G zrzIsNzw~n&mjf{WQ^aPc^bS1%L5j!LVtU@HBzKg$L`7z143lFhq zLRpBT_zlu5bTj2bj}}WYRxif$Gp<0`%k%sk&}U3uCVT}cuon!pL`9RYFzC7~>1b#) zfxHu0Jq-IzY`Ri~5aBB#Qic6lbZ}2v!0xIHtfWw#G9gYz7D}}9_WtGv9TArg@{OcV ziwhaWH2CtP6^+?grXInFApR@w$~6^5qt=;Ll7!B__zFArL~Q;F_@$Je7J|~UqB?Z4qauPEh@#X_`0RJA zHgPj4RN1LGHpq(BAC_|^)1|L&BwTsYe_I)<;_5UTL+R(W1!m#htju54mCVDbJ0*(~ zsqRhOMeB#!^ys^vVA1_Jl?k9Eg4}TL~(K7Sy8mOgt-tPKF+|ITXu`hX*#c37z!`~lWjxGgYs_G zqYh%55vhg_D0}SXSrDfhX*CR~=c}8{aO1;j>N>wQB>b2I12G9}?P`VAb5L$% zK??r0=WunvE%$KA&QdN=1$PTtkdFQ$Dwb{rd;UJ>S5UzG=lqDVbE2Xs;EVqmV!=@pZuuC=k?#6F;<$vdb@}*3ZIyOp|3s+= z@5FqE^$--3RzUJ-7;&3KI(xr9yh=6i6gHZ?wx!vAUE_?X&D0&L-lRyBB@}jQ{FmQDXqdUjn?n?hBc`g)Vb*z`z-dmZ^Fo)$8EUtW|PKSx81E zib4J}A7YI;3?q(=v67WVho$9Mi3lH-FhT1hUP(dN{?%j(sjf<9KT|O=t%`(2Hjh=Q zP3+fn8qHi!C$j%UgqnY5nJ*_DoRh&Z9=-Q+1L6(%U4;9b!W7=9n{IFLpHRO0oDlUO zy`baRM;e`aKAfsIHqx#zy^>Jx+Gx~w9bZw2lG@J+XYIj(PEKA-7wnDX4|P->4i9U;zU@%Xn-tOJAc39t3SW@s{e0%m(w45JoTMOKe%r0zaGF}Z zmJ%+|YO&s1B4skSSn9dEks8O_&u@~xg4g& zP;dZC$E4Ds4RNG5V)>wo>3rOcBr{2RLNTf0t533g#0dhgWuR>2By~A*S3Zr%gchD+ z5)SwrH;JAZs5j@G+tD0Qr>Gnl6}Yhx6R&G(sX~$bf6443??0a^A2>w z2J#HxJ#~Yfy|R^Id5tZ(q54W#(Q?GIu46skwOn%etGm|@sM(7 z#)iWiL~y6cj0nhlh!uU=S!)8R!3DlSDT?p)_vP3ph0kaP(rPA8UF~!-ei>>TkZ~Wf ziv50Kl$K+pGA8we@nOyZ^lxIGE5^!~M3YM|Tk-MwP+cS3c>46|ezSBCqu>m(-*R=j zgYi?;5__nUN|C%-P@~dpPpaQ)eY)O6G7aC zy5u-HHs_bNrxX=jCUq*4#|w*+UhfQN^GubK_pxU&qF>&~G|NMvKehpPtHzv-jyvLw zIwbnKaEB5qc~pvKNCR?b01s0W`SeA2S~a5ali`Z7J#Cqo7Lqr=6>)jIrs@s>WQxlA z`zja*Gb{LceGfV+GaHM#PEx5hk=GlsGC8ZV;)Rn*=QaPxt9HX)j?CvsnLBr8c9Zzv zC_Mmqp^y~*+Bu({WZ&3zkcuL`KE0f$zKKmi025jR=p-A2EMxIe7 zlPB~Xm$7#!RoSBR-;KRYg@dmh!hXX~H}bf-?N%fKr`-Q( zS3=I2dvj);*w1w!e*3Qd&f0Lm`_3(TQN~TLa#6henr_2;@kqM7&cKde&C;Z+AWB<% z>l02w@pa|D%eTIy2d$UG90TY5cOIeDV5@pBj}Y~e^M6fQIa z-ZkWNKgNJ64S9Si)uIv0F@{nD#i?}h)uMCaZ;U^aOknj1e z?3|Bwt2hI_3Ob{RrS<(^L0mY!jxiUF^l+)Ize#9fw6p*cA9uz17QSGj_S0yOK!(#$PQx(=@hJI+&Ee$f5?6p)r9~OOHpB*LW$sZrnh2*AqcLRgS5W4#jrRsITBsnsk^uP-_v}qed(&^x@|{mEOuF6%D6qYK zlUR=Xz8xc39LdNW6@vL91=ol;ce3NhBr5vuWwl%al<*l7%I>`Njucrf$!RPxb=;4JHvMF%r&_kS z3G`YSSZS)hu{+h7J$Y&S>#e>~QBe1{Q}&%nRBSC@zhLg5-!{lYS_F_JlXFc-4+)(Y3x|bNAV^P6@s2Vu zZsMReWQaxN0N8GOw4)cmF>cChY@Iia3o{>6M;g0D^k223>%VBB`A&Vn(6xM#<2=c5 zki*$WPJ0`-k;XS>uZo|aKW5Jh({*n|Xu5ehTz7p&)bFh2C%pV#-X}jkNX>cClAwhu zR-M^|1HZ)--eEd&IahUHuYHS5Gp3vGTO!WG#108+p?tB*Mo-UV_nARq9B+L-NnX4^ zC7x*8syhmJ!}pX#`1q8dw#-#@FgG8|RpjXdo1ux$IOl`ej>|)tkdFrAkbDGV8-DwS zlqmK5?=q^o*ZQM=b&WDGui>Iz8x!{`Bt`>z`S$2jD<@M_>L+ZGrMX`{z%%hMM_k(qqh!TzmHAk$|AY&`YKFTO^$Q}YFzK|S==NG zU;BcA!`em_FD*FL<$#BWhb%i8UPSzfp?SZ?^yT)kjYdfJ$SwY2eG`sexp zK+HPmYg02&_C2W&vhyxHP8<)x2ws4Y0>!H(bd13X7XF*ppkI^-J;(7lvtfj_qg2r? zx5i>uJJV5YVpfFF%KYT&_*=|tvRZ{;k%oDsTdsd6L&cz@Eio};cB}TaAl`h@P`=7* zTKE@k1@avql>`kl)uz%?LaqKD;G0o=hg$X5&BZSa_Ll3mS&OgVeewLlhLT4b~gcZX(YsiYBGLJ|J3<%cr;qweL`Nl3unU#tX93o$eX5iP5YzR(1w+3I6l zf2bmraN?BrJ=WDph`jm{VCJ8NEcAu=)i1pkb^;qo8&IkACE} z8lFMH8h0FM$N-s~N^3aa2B0QI_i~z@@p$DsfSohu=C1pU4BnhyT~CX9FSb4hYL12@ zNLjTvS_sqZ=YBC##yTD*5lfUyX_>D=C zpdw=uvAN`9Dg&zpsFyjqaN`0!kZ7fFT*#)7?P92Gb35mVc-fIR}iqSf|yzKuqJVTYf%L-X((mo zulMo)fNrT@Fi*;0p?T%S+SKm5dty?$$&sN_*Iz~2EiqrFR47?)-lxA;)h~UD;dt^H z25M-Vjw?k}C-ccC$*^C*b3b_Do+cj~S->#+ca*&;rufVMF@A7I##oIg_Uq}ULn;~!n+(<}BoOai4f{MWAku662RiYR+ z0WB>+0>Y?i3{{@P2}|f$^Roi?jV5*xq)&m_pWPx6PpH~p`?M`2hF$wp);2KEHYQUh za+AHEvKE|!3|YNyy!l)Yv(8m~d=6vLYlLp>t*@tHs3GOIv+^3}(5j}EMo5Ak|7hj8 z*nwvpX%G9&g&({D3~>#@mofSr7D_aIzd@rlJ$M>^
*gwqZ)vl?#61Yy0;tQ<9X zBuaFMkl(15pfXY2pzrWM%Av1f$uxaadhSZ#ap(I)KLCCqblb3eW9I}kYoA6&Vi7q~ zlj6~|BEga)3_(>?RETUZ33iXNQXUVpc70FPNqKuV9AsU1XN#-eYrlK?uq0%HNGS8w&rlLedqGX=u z_j4`n{p|hxzVG+<9`8Dy<9PnrEo>K`mMX_gw8OY)hRs5~*@=4Hfq zO>ud6L{i73<_?akisUGvLx&yP+xuNM%Kbuh8sRi@l4En-|8AnFOhuqpC5`E~&zv?| zf^v=(jTT<%r|;{|y|G}{aq%eNsI80q|J}=uUw=4QMj5rHR#dS5+AA1T+?sbS@UYrr z52cX6sG^C?B{vGXU;F*iJT|}n)4}L;IR@OB*M7h8+N2{`%*(llq5KMGMYP<>Prr-o zLh1D1;c*nP(qApqgkF;S?fLMJSWd%L?rFHrU~> zbJ%RRgS(8se;)F$^os43)F=q;OigLrY8BS+e1ic)7kM40eL5oOzTaPaeJIpYq*P_l zHPrk*Q+dqNL23m~-wv*TOB4k{z#y)_tt(aXG70C+i|+%HswkAM3Nm-G4iC}tYz=sP zTl3g-u=GZ2&EPVivK|IEy}yeH6zof5_erDyN`JfQXWt>6lXti53VcIEgbNFrv^%}M<1S+#qIn4}~Q<$r!>g{kAQjz6O2e$=d zk8!CtEhA0%-Ys_wd#z`tXvLdyuCc|evmBW)-oSq~`YmWAmZ3?yeCxCh(n@EW2CQ4# zp(dtaw5Fo4GUwf!cY$QkJY>c@JHi8>3tU&?l6OIg^_>nyLs$H;4d*xx z>Jp3e1en;k=J_H-gd`!+0xLPOPVDzZWX3WqPInVQ!EX{LU6Ogw+ZDtIg{KF3jhV}9>mF#`U4 z7T1k$d|B^r{)}{kj%XlyHK|+gY3En)Eb4p|G;`;Gian85q%XaIB;YSL2(23^%TKM%FHyD=|9ND#hXB53+f!yVnH;(b} z>BRC^TZJxAJV|VWzXK&!ym?W0U1_^EkU@|h0o6$}Pxl?Di9dOULESO>YM$6OOmDh^ z;YWZ89zE#sWnsv&!k?`JHpoIWWbp716CcnO)&vAPG6i|qa;ew$qH;jZcq z5WWZ3w4(%L^;cQ>_a8=E;#+3JTV?4Kk#NzQ#XGp};hvWWW@ z3a0F^i*NErWnm3J@+hkOwMFW*-vuxVsoP}8;HtYkPOGpOc5~+S)q- zYk#U~+QiAznz^1DM+fCdPnfj7Wd6$S#ZJqN7qwqV2T5UA0pf2r^m)gfAGJE+`rdSE z_o4ND(!4x8HwXD@=?qhr&(B@uYK*>qgz4v7gPGp_sx#&a)godBk02W>x3(f5NFA84LQ<+icb`q=&5708>lS0->A)!kjVCR^8GJBZvB@T%oIn6%vkOu(VdP&C_7+BnaLn29rc30C?zn zI5hTtJo~*SemA;#LSj8L%44D0cEP?_t}mm|5hPQ)o~HU08HB7Z{6;6z!O+r#+; zXru0!Pg#Sc&LijhEs4*!!b<7fna=FH2g(1Z-;|!ai9V(%nU5Xd-ZLHLzuM1QS~cNI zi{~%O-Fazo&~vy-#tuE`&Q)IkAw%+#@u5B%8~o^@kx#0BE5q^QEm23zZhY(^!<4~T zW8u{<-l09^CZCY##LZc&URS3W0uq?<+8V4AtDL&(%TpG$^r=%Th^cd`!xW&V>x|`LZa&v2~VQMDt+bTW?x%> zm0vX-?3sN_I>$^pm`4!fY{4A;QuOK8{WU#26+sd+euVl9o>qp+@^^EV^oRPpqTiv3 zklDI^W=^Z(*_MB3B0g?PSlX`HCGoZ3Q&4zM_BUHe#&wok3nRmmOi++Nt$eR}Fo3z|T0m`Z&|_{KWc51!JOh8=u(R)WekDIe3nwp47@ zdjHw^Gk!@ctO-uF;H;2-zO6z+S#o zl3lO1(+ci)*2wyrPG7=jFuS7&_ z?obemJUc0tMiUxVInldtoV|b$n$zReYQpoBkKR||Fkg^C6V~OW<+_b?i8CrhmG+lT zE5Q|=Ve@b8hU*z)Oa~P89W^YV4J#XR6z9;%G}#%K2q?nT#Kfe@65>TFuj1n3&X~H( zuq|gamJfI;T|8l;EqUi$b$Hpl(!lN^Fcdj?t6 z)0-o>2#oC)2PkiWtL3~R?l<)ABtZ{NE}Kb+3$yHvV2^Coy6;B>fgdf7k7%?b{sh}- zF{=UNUp|`pG2uyTu;+YDP(ica#nYPm>)LHl4idv{hs6{2wet<#{c&FA@#AymInp>! z(-f)6jOZrDwyD-_cbNGLyYNCsw4cqQt162ue~Lkq#xVJrGoqarmsbq@^lO$W;hVDO zt4vexV%gD$`XCAG@WOyNwr?fX0d1qya#90zF9!+Z!{aozMn?tbz?7p8?qZeM<$1O_ z*Dr8zCGV=W|0yB0&8#Hb7woV^Zl(fFtK*vZnTttGzu!_(JqZDmDS9nQWXMqzSw$P~ zZYV6Zv&6{-AP5iclGzoM#kkv&QlwD|TO}Vi2^I*Jc)E2fS9>j?8t`#om}%Lsdh*`D z+5Ozif6meMhaB54Rzjn7&YEbnOdE&K1_pPI@2I6ij~1nLt@Ri8z|^HiT~4o=6)1pP z^-rNi6V`nac-F4KZE`b0^^iCah+WJ?jpS`fi zqttoGPeJy_UNf`RVsnSTx(#cPMV?H}7**^rr<2S<#JK3c$Rho&sA&B2=eA{fV*l#pa1iclK35`$g1Fx3#i2Zh1P=@e7Bm>*l4d z!P0}DmV_+gQK6#rh!EJHD#=Jyi(iPKPmQ0Kb|8wgr^ib!^IdJic&#{}jq!SiU1#{hsXX=@<8{KKdk<9ntS_mY zfFyZ`JJct?*m?NajDj~&QS23=`r66btLg|nSTm7zD*@W-+IL@J7rRBExoxeVfPNT1a@p&v@A51v{`Pu zh>>XU7(691PVTE2WW)a5+y1ySL5|YoJWyJ9ud%VQ1G5CwnH84`tbutD>DBD?_-gcl z=#()kqCwsR%DZGz#4#I?Y`}WA#>a;~ZT_RBkPMefQL(7~q7=4d!{>pb`|C$W=$F4+ zCV#s4Yx@ED*$(dR3(Y$&>4^!^xx|2QToNnHl(!5WC}&0EDU3H9wIz^JXvN4_r|R2| zbn9?0TSlf<7-_u|--2bQ@t%S{E%;)o0rt`Y9$eO$DqQ<1GlaE(zxZ|Qk`i%RhCE;B zq!K4UW?gXeR_5*lT>Zroim<;l*~ZXh!{c;IKa!UV)+Rsgl!Kq$^Bx^nZM|2o?OK*>NUfT2mr707Fm{^?94+Z2#?Vx##NcrG3+#GtKb@F+gxpB2NU)`jX_Hw zcqGD${_^#oj#sRmIv1Tl7=b8ys9pBm0c+#BBh>*JGy z+b)45*^O-sml|UObY&Io9@L*BVvGw!jIr#~p~z*P)4Ia1tlDlLO0Y#P!p8zxqB7E& zuVG9%GMUa!`hl=T7^tt_SV`#!$_llg>wewJzM|3GE1j2f+o}DZo*O8qLCzGo?;OD* z59}uyD-N0g$2PZDO&G?8Zr*X4RS7k`0)y?~V@Vg6wbf~?K08;Iba50t zSWdf#Xbp>u`~!kx@t#vSm~twGX6WTsGA}Fo7c?TP)%j`W5i{J+OA3Nci%RMQgB~n@ zbF*;mj&=^Ns?fy1;;O1I=wedi`|7Pj!X!VQ_u1uBd`6F${U*aj1~j%B=%|*_TVIsu zsW5b<6WcIi7|FM&GbnW?f0b}TXVR2cA5c?3sKh-BRpEdUxU{7D$wF6iYmZkx$?5MlSld=R9O;qDU!?v6qG#ck<8u}i^%S#_6 zGIq`oJJ3`r+y-!oU?V(;GHA?R&aKe994MiC^b0`d`XDItc?5LE{Azkch`EmlKOu_t zWT?BmsgHonfcB`5E;g#%hY{wUlZO^Nht32Pu}YA5f_)*1Sn!+jBOXXv1*$tgrS)-mTr} ztNnf0iMS@N4;kK}F)|)7P#1o_-B8)%6~mK|84q0RfuvtvM%vmNyQ-Z**F~9#si^F) zhOTO|ah8ly!0c!`em+Sc9OQqb$!Q0`wtm@mN@H^T4vm1#fWdkBD{-r#SNGY%b>kHR zGqWGc-K|dIQ;gPg5>BwK`@Hoskqn(Ux13>x09D23cS@4`%3z(GakAW;X5i0$*-CN2 z?vPVgrr5`9B>kE?`US;gL1~KuKkWZVt$@;Kim z5q5bqwNHkoWe3BPb|%#mlwkkl*$Xq7y9d#iHM79x!Ty<5AUv47Z*0Lh90KsBQ;@z##_f2FUD>Y{WWN+ z!!Y)Hvzf-}1LoptX};iM6PK7<+^|bLZsH{GBt=2BPGAT*`l#(k0B-bJ^e9{Ts;)U! zx4I2ivA;(XZ2glH6DW`BExLfqg_E#g*=|m%ep^{-nD7~nbU10_Y%;YEo0W(gj}-RmJnq~?xK~9s zAYl47L4tKSM4EC-`MLTe1V7dpMiMXx34o_gja7jU{eBK{}%w z#0T^xF3ZmPpx~)*?6+fp)XF6JC}{etA2}DfD2`+8lz^Bi%@j%!u?m1b)#NqKxhMsL z*Z_r{yLY1`&syJycR5VWY@nsM66{-tRuxRxB_eS4MNN@pI5(oij0#JnYaZG5if zD%oeXRF=}X$%&eapUek=KZJ#iwhAb^@g!-*G2FFUA!E0g?BRwLi&!zxfpy3fOln9Z zsi|<>%W_}>y_7kjCZnqAPDPccS75@~GVkR%+vv$wv@S@3GbDU^;Oz~_ zM1PjX+0ZTj^lVePiB>A_hQ4=RZy%DAVp(Hb;Ld{qoE7~e^b{fe!8M)yFGWgK$?eV| z#jqf0Alg7|$(H_VwuR5GyG96PE>q6M-eO$O0qkp$Y846EH~L2bE7<60X8VSfs>VW8 zeprQtOwc_`G-?LkoxaSz8w4VeIz`rg-9Z2uf*9~O?h6e6W{)lK=BY%4tLV;$w)tiL zd~=pP@eIOQd&5>wg_~JkfH%(lV*pA%-~4x`kTdu8oIr!@VQ^AaJwoULmxzJNYAC68 z&^?0}aTM@N>nV*jDEP##$!SVTU0_rM5uwtkCfYTOV}@L`Xp#Jks<1(7-^I{&pWtnz zE>H(Bdc7F@2zl%CjM9+u43XWH_R*3wA=&i#J-~GgbCUdr-f^!&xu3COE|XPkC2t#y znLt;!E=H-`G<99kfxvxLI3rp;>%$3bGxlres)zSP_@AG-!MmZiV&~Lj0?3(jgk;g@ z7d-JD`s+YNmvLP?mK%-^R4x|OfW-l3@8e2XA^3N@f1f!f}g$XHEj<_*glK3MRQlwhwStq_CQX`eW|SRk@`53HxQWb-@m{6H3zbx z>d7y7J4+TsH^dP<_hoJ;eeKB)9Z7z?pI&|m`S{}|`HQ&pqJe(-_eKp93%*UTQVdjkx7m_Tpjy z3&2Y8oz~XtG4c^}IXN=K#Av7hXkn_*K6*5W&|w%Yz<09s-U~AS%p_DZA^vwQp1k(D zlX(!ec;8+;X6Ij+?nXa3IXrnS{X1~<))o$15U3AiSG5{TR_`+1TbO z_4{9fTiOlz-~k}mV4|^x{9?6M0O>E^^zzt%M9d`Vx{{;l{sW6&*F0aoTSI<&O3aJn+V zqx|7GStQ(0v^PDCikt!tu~!fjO&QMgZ-Z^=nGzy39XasMWPPa2!Va6Xj**ToM0XPQTScbbTY#jbBbdVPxK#Rkg8CemSH9m8H~|8?>0hi4FRCk-)E)y9@CxT3D4^qHeG_y;*fD) zS=*KK4`1r7{RW~s6*VVWX>%$<&g*)(No#{=T4}@#M$^I1WW1N@V+o}yA&TXKZyKWQjM7U&8?>x>G5bi%c$&TQ@kJlk*Wvw`m0d! zD3D9cL67JXoj1+Be1!Bt{i6@4r=`NOo}^bvb8a(KWz3x1rO|sd93@!3$G8jEuFvw+CF; zCa$`A0nCVn5$mBRV(#2T4F0u?4gbkLpL4{jp;smc~l@-E#(Oz`j(E5M=!F~R6wF)|DN z=6Y1qvz2_ElF$$>-}BzD1gM2BH8$L%0T4`PM4>2h!v!v5#H}L5a&%edkT@eTcTOIe z9hkhfC6Ya*B-oEvqUD_G*zHe1w7ZK`TWDGxa3(G{CuS?@gO}o)dCJKlpc1SFAs=EF z4k`j+Ls_GzLeO0TASP_u1`8^&Ze1yWJ!qWEy|b;x%hbK$Hqol?Z-X!-&i*$eCFjHY_CgFARu&q@@{Xt{hA;dZX##pLTUM< zsl7~lBvQ1F?#FWi3;I7|hGy=NRj%Je+l`JlHZ&+lh+qSuds7d31ZQ!Tdz&*1{E5B< zeRom!LtX1F-J-bz7x;*!*(Wq;(N^w@fVG1`UF5Fbh#7N#2$Fh!Sh2l(OS$E_^D!qy zMnv@SKY8+mcB4K0@dJv|0oW9ad=z4qUv42+JJJFu-_l_be1Zv1d*woc2$bLL@nT&~ zQ^%6de>>JAD<~KG*Iis_C{HB?cYuh76%|*yULa`<8XGgXcPqClBs_0y+C;c+%t^6*S&KjL6-^RSepUm8w$mvT!x%EQhEgn5W4y#n0q{%D0lcIdndvd1H zQpQcgOQO3k=~YsGCss@&BoG75})yk?{Hl983-Lg;Keegakluih98i z{Q43kO5~=Xy4ElT$`!tXy9o(2etv%D*4AYZWDG)f z=)Eyf|0tJSDDzhnT1AO91mLobt*0`~@!1Ce{j9!)v66BR8r;IO!^+A!2+3F*MArw) zmI%m0<`I;gon7c}_n*?0rMBWx?EgKdi<*Z=H%ukxt61U}NL&eit1i*{TveHyQlqbC z(@vpC^|5wQk+=h^FR!H7--}zdWG_V?gWFhhDnJ4hFa zaqgMhR|;qrNg*5LjXK->GWDe{JKjr7ljVwv$;3IPCkIP5&eVc06a-jC0|+qeI{dHW zuy9R9MH+)boF;xC5w&7C@{;lt?TqAfGVR%%we7R`VX3HT;*h6vflZb;nuc#}DOIsV z0F%Mb1=F=<#TVBkqe?Z}KS=EQ+mut*eA|B&E(PT<_ar7!-<|d26dt*yi}1*=J2%y$ z|GYu0)!Ux!htm42C_h|3&U@j+y_6rHr_?XTli1X2EmgM()!Ttt6Uzm#|^cPS;lZ%gu2L~>Ck&A_NjBElziUQxJ(T$^{+ z8Lf^sun(Qru+;gBWO;wqa9nNWzi8M)l@4;u)e5&R=V2`T&8P|z<#SdZO@U`1tvCkaKjz$eAp=!T-v`1@~gH>3Mtm z-3l58C(tGrOutyjzRH%~82jJZS9-$XN0>V>2WIrKIEncUeWwF)4)ZEo-2uu8sZy!- zPvYFnBw#EdAwhDS^hy{@3!yTm>Frn9|0vO(4mY#*@m98gN;J|IUP&G?_*$pA<)aX0 z@+}}Lyb%T(sG1(6rRL-nSw4`(a8?Va&c*ZC*~{S<_=|R`)Xw5htQPe22sxMT6iBQM zBxEyu4N$^8y;mPG;Bv}s&_QYahYJbcZm-@L8^z~`a_RI)g7%T5PJHyLWLd?dckd%a zCkHk!x-x|#%QAhqV$WEbXr3mstuPBCZU{&db|X#(t6{f3nbv}!4leMOHhH6feM9sj z{+&iewU2WEBq<(GaHZVcX^WK7QXU~c{=XS& zA?2~sME2oHx;fkXg8fIn3 zABWyQGjSfOMYIHliRQ>B?59l9W1^z|9qN}Zq3|4{FsMtSE-)MPIgrlpo&|odfW<2j zpUw+HcfRHd*7b!W@$3)IqKkq0-$J3+or87;+y!?JRZ49q!1EqC;sRE`kK7Iu6A97@ z2pmm5RMB`_)OzPW`~~h^3nv*7isJ|cJDGr{9P-KT{{Dc6L03Q(_t654B2d#&y zM0LFd$Vd274HR|By3w3#_7%}hr$*#_I{quSg_Lxu$N%r-E3({T z13I|&R{b-m$m@IJAoM+ zoZ~iE+hgQpUO4yDysLNNY9(|M)1q*NFD?tFzfW*in1oJ#xAmA9IDsM*(o=opZtW() zUrPPEfV<0B(=Q+War(6>MtJ0AE|7wf5m~Bq)@iJyzs;bC0IhFBHL5NV9!i0`gcF#U zy8H8|*OOFg+*|kVi6Hf<#Ze1mAJGMqCEF>vL+VVY)her+wuKOz$jm+d-6e`tUYZDc z5I;hK9>T4+A?RVhDJ3*17Lp0lHkgAIl@Qj=Z22C~mWnZ$b?_mUjekE6$J7rRhP z>@ZQ9?KnhoI=&>T)tK{ynA?Shu{P(z%n$|o)XjnAkB^~LUvV6DBe3{S7FgHt*GrdM z!|$pQY}&IWoLrO1#6R`;HTv+I-XADAg2Ht-4cm4=vvHC6O{7Q6%}C^h?k8Dwq^t%0 z&_uF{qGcc>0|Qvdv}0B+W(#o(O(u>`R1*Bwv;S17EZUpqR0bJb>*4onGMebz&JP%5 zOX^E%X|@fAk#}3Bigz1w?%F@Oo!bBw{UdBpz@95<3?19K)=oWw8Xz>qv#~FDaj%GE zLMAzB2}T4E_P?^_fNckw4}#C^>g@cMQ7|jzG4?VJ!YA+#W*Fx7%da(9_uoN%|4j#S ztH~RQh9EquIeTr}EpD_5@K>V>Z`~)o&WZSg|0B=Q5n1F(NYnOSVn z0uk6t68ZW_9?+6Bu4qmYZ?Mw!;u+HgB9Nn`hs%5{V5q;JB@;)g+8|LXMcZ%LCsSpk z#)jvfqxKlSgW>RH=wE&QZWHy(!{jV4Vx z;Yu`_c4iJ>*IM3fy zhOwfqapF*XvM{{=SZuUEklBCeqvS$gvUZQ`kEel5-BfKb8UX`G;8)Q%TPp1}zoC9~ z>Ijul-jPMmQZD{pITIp|XZ@;&HN>0x!x+kjWkgJ1?7avtdTnhJj!R*0I2Oh+g~Hfs z%THUnhj#L)x5p3lj!%9&#m%J zsy*UrWhd0Hel6AkuT4>H`Vti9;18gtf&|Dr75NgR@m{)g=|Y}eeS(L^)@)~2io0X_ zDPyA90@rwvf?uDuGKedDWqMmih|X%vM8YwQE@cn$*eqey*-y!1n?#rjUJi&U^XP5b z3KtkVzR|%ltk(*@eEIUxxa)JPAWww~3qtZ+n~fkQgo^=#92?POVwcIKf+)T}nR%d* zZHLFuf+Nm{Wbwi_BT~Be-NCRZEX->G!Ys(cVkF(|wO4O#yj$`gE;camkc4oS?fcy4g z5d7xm=5T`crjc1htcZ8 z$B*%;sdhTFE}7@qTx>_?XIbamN|y2%nuQgSn7HO!)RC}Ve!hBpGz+{DYS*a|O*sV} z2>4GSBeO9j3JnhFF%p;(06~rZIt(dILVWy*GFNDyiA@A4X(#ZDWM1s$Bg-J2-SfVG zKZ$#=*dpB&3%7@39KP=hY&>E9i4|r`X{~#AG3S2qIN7dxY|DoKAVQYIXsK;0Bf;b`%Yuy6Kse4XmKZ1&N|(I+T^vbqgup3<@_01z5A*{Teq+I zP%pIf{36EPS(HRIFVWp+jmgwc(QKgz3qy7IZ{l)Yx257khgnEq(F^p@_NRWf!V&`e zsoOCBE-8>y*`~lLV7Yal!m-sw+8ztXy^+htYvl{PE=O$zu1xH;Yg@Xik3LTSMt%~C z8E{E%3LeAx5v}<&5&KmvM|M*jpM*W=239Tuiw+@&_fY67yvhAvUVXN*NC0I`zN?jl zfE@%>zTVNFJ6tn124D_G_%oW}N?W%0cE!3{3mp_OxL9KLH${6uVV$t$(mxDsJ4KU^ zuS#_t=4!gX<&`PNbGD^Co-QHJD4tiaajxBYSP**prL$&u|M@Hd4=x=ZSU)h#|K-Qr zz2Zm`oZ+v0OZ6!bjW8wLNf1UMf&f`rsVFNK)ApZ3I4__eyUvR1d+rcKj|`BwFQk5T za6WpC(>iBIMfQ2i8(#8~*P8kp{2q*&h(N}H!YO<5 z>w;m5=nFmPJR%7YYH&m(7z|31S1Ge!rV-p{EV z7|^=xt7e>HXi315-4PF#&@M2K2(;7xkiu-zRFOqVd^1Q(>HM1`v{7W2lF3+5srSVo zx{cQ-UViJfTh2Z?Cl}5v0IVlTV_gl*mk~qycAMBaNqI&XbNNMd4InA2($!VLEgp~ zLgwS52fM@=f@hRC520(-oc7%8ae{11Nea9H3jl{`Hna4_WHSG9_~nomoxkP=3ick9 zCh!eOdDad#!H7Deoxj`??;(VTCuz04t`y5V%U-Cv61=qUu-$Rv|jr@oseX zNHsPJ8LXio(pDoEU+y+J3DME|CJ@H8tJYp$xX9*NM6R}O8MFoK-Wu2^>_dvz-VJ~d z%aDx!EwwHElLTU2v6_J7VwrDQIK@@s@idYLX~p|Lp&%E7POETZOD|>KtTeY+&a(nS z=xtOGOMHq!5b2$Tza~K%8^o5KfA5`xiphLNg^Q&dSE~mrC(vv`yne$uN@YJn`m7m&7@sx%&+*dRV_C&{ z!Qjv1Wc%QkSH8#WRAH-N+Dkc|dq3@%j*TCw==CYG%Uh<8WMoQM=fZz1oR02pxiWfv zQdo&xWp}@gwY93HWlx<}h&l5}*0t5O&obV2+tZgrx_jrSvPYON@3xp_}t@VEpx=V+OHGL?U z;5H#tL;~;n1G2A-YJUIQnx54CcbL#ZJCt^ebX@tDNQ5d@d@rKXhS~rqCuCMsRQa=G zhNKaLHyZ>X#!RwANO}8l1EK%HWxmk7b6i#axO4=Itw{%iC;j2WhdTlIg^aI6xy1=v z0{A`3If`|8SpV;u*)j!y0T#>6`#7(3wx$2u9Zt?qZAzx47a3})3V|`4c9@4PePE&^ zyaQ<$uXQyoYe@y*woWNb&VefBVv?7Q?thYfC}*%O=R!#ywRA*bQbOJj?}381Dv?Q-yskONSc6ojF4`~B(e{HcY3#Uzmsmgd){N7KqXcz^zC z_+xG@YRfcYeQJz<@X9y+G_wn0jw!#lpCGUVW65H>b1IqL_RJ)(3(mqW79d+-h3>n% zyFZ|#{qx^yQ0~H|7YuIw_Myb6oEnk6L@=p_r@ljb_4WtWEwoS^S6w#Vja(z^e`!Hf zc$Eq)t&P4EB{+msC6!;LUYaK=x35EOVeY&$TV$t3GgODY8+M_-Hz~?@-1WLj3>R3| z`k+^90%X3@o%~1V>)@>V!;_$aWTizP^1rwt(RoRn-*orjzL0-9826hjI2acw5j1>- zUYeDs-$~gHLtbW>O%ht=r9TT+5TfBvXJp=aVrP=*RuKO0LHOs;o!ssu)q-&TS|I9w zNewtSlC2hXr*$`jNZ4^5`CJDJWhAeqY=(#e61a#3o*q&RZv;a6m9Mp}6s)jupb+_z zSnLx9cL(3o&3`@ShJnM%^+^KFabcG6#fvG#7W&1!lv^4!SNQ)iS$xC7cFOAq zgc%Bwl4sw?nWgGeSZO@Ri37x^ zvXkYQW7e@uI4g}1nD*2#W3jkatcta@b+_07%I8tpLW@{_>btn~zz@h)6nJUU#+ihO z8vzLU`r+SyzR>Bts5i_&(J$dbTc+eOz>zPc(iVrv1MC&#g#bnMA>_G~*Ot`_TZHZd zS?Ri<>LP2Obqs;y(537*VZG90FxYqVd=7`1sM_t}F8$;N z(VJKER+jva03g24pf#P6?pu0dxOKAg%HrN^H{`mjlYgr^~WSnkfjXJ^x! zjw*$bNa+<6;1*4i<{^%n>N`7@Pq-dGz7oTOwz2UNwTS1Kb&o2jqG88$T{>J#fI}3N zb&oDCAIBUB%Yw6JPUe%tvVH3b)c`uLD?`kpX zD(n^RdU{-+VI{jIm1)8?B{Mco(?lw^;I5ZsVHSCD$NRDmOxS9T8XkCjX|37I?L`Jp zs7)8`v|8mxo2pZHZRfN4%|RRJAO$0@tLhq!E{g5Tc#2Wg!a8CDubQ{zTe+nD&84 z${#;ug71*llV9$wQ{8M(ea2wCs=+?{#xGhIkd0Jr(CA7?NRS;>P_I2`CX#ZJeoK*^ z`CX^{RtZZh#DiTM+!+n4_cj-HuQRL`m7t#9)sz3(MbjRjg9og@Fc!AstzKr&gEVmZ z3*tvBO_aRHdtaW<&4$$QeE%!CC1kd6ik-j zL97n=Xu&qhO?f9hZlP13<*F$H<4cE6qfE{~^2dD}yJxA7C3zdAu=(2g zXwv3smdL38AnV%@!2;x^WOBGmkgu+%rw6(IyN+d@KXvOgr7qm_h%~JBS!%PXvm@(O zEaPt6GRq^imPs?%gwOZCJes&cZ6M&>xm8w-#ptXk?;3?gW#n$a_yWiDzkQ;%S;wfn z{QVgY>FKotl#q4!#T~9sK~;yM%@yJZ zF{QKJ6BX1jEJ?ZP!b51yURo(Mo)yUL+fi27Fzm;a7F*4pdq!^9RgRBYnxQ{v*@ajx zO+Ykfh7je|fp9L^Ey*{NP^QPTu0O7j)L>ttP#(s6PjYWqDn7_bXI*@{+m(7mn zezf%p)?4V$J_rc@v~2tq+`FsD+Y@>8<1CgaD+<6K*@C2Q2}fkSIz-)Ds= z>$+!M^~uwxdnSuD@IJ=}V$F9Mhe#K&p%$FFH{~_=>q!c^&u*SuP1X9D{Q3sBauo*) z@y}V$Dumy5`OSmd`E>g`n~c5r1@tXS+j^u6Xs_E;xgWOmiB0a}Ho^&oC42s8Yc zBm0-AkYlUingY!%38NEK$`6qy?HE{Ga|OY;W)H=!SE}(5btht1y!q^szmY4sOPbz> zR0)*2biT6|Ig=^_v0KXKkK7Xj?~ku&e)jCG`mkPDi;Na}w_4MjjL~DvEyMV=6rEbg zBllh=b+9R~$o1J7k7>i|QE58zd(R)?w!;UMT2>hoesJxE4aUUug=^$?06#1$&dC)o zo74;=`V{(IEqa`vQX|W!dzop)tyTf&IyYm#aJE^huDuhu` zC3nqiN5fRc`OcU8`VUrD(j>;d?aB8^?&9)x6H4w%^>5>Cvr;g=`Sy&5mbFYl28$v; zpC@##MbT$GxT>(v&E4+~JEJ#|QaSM^(JaYEi^w%~8XRG!2=gV`& zFDf-!Y~4S-VK;X?zD^}fAXs{bJ#eNCaW6e)T}a+wZT=j=arN~xCBiB1t0|U2%DJl| zKGO*l^2`4U`1dviyTub$?HQ^xBlU-J#luraVW=}qEH{5A+6FGA*CySm=9_ye2cDGS<-K?+S&9>zRA3Kh(6A} zCrdRuW2jf@VhFC3SdELKUHhdt~s=_S}J(fQ0it3IScxO)=V6GKNBnIH2lsc;X00$7UTee zm7#dCkTfE-FnFAX#XWPp2PC&*^x1Um z#7$fv)Ao1$lD$914;7tpP+37WyKr0Aa-v6of)e=VT1+u#X1CwiU|a@OYLvC^5<<|D zv=^4ojTqw+rkRB{_Bjt^_h+TWYWep5Y;Z5(dM5V4Z1dg5 z7o#zOQAChPV*h~JbX3W-s+gL#KUGWu!vxE_LHjL*iJpGKx5OdohQhZ1LdLT-DZfz5 z`ux&k8MmFlg}9`Fzh}KQ?#0*_rEUCt%p1GY$5$$Ba}KeIVwVySqHD9;ow;{a*k(PNwpK5KE!EAPfE(mz~po>$9;Q}qu`$ymTFjr_iy3H z4>1~zd-dn1RMds8FD?R>SJ+E%{)kpaZZnD&bE@uqXLEl@A-z30uG!_ibV1NEEXyiX zVA;fxS-#h6P{)&9(3|JroUiL5_WAIQENR+g43@vR&&T2kmWr;R@V1Qa|iAWg8*OY#cvB{7W}4mp$B`P(ViR6Tl98INPe zEiG$>@U2vvbSgF-N!!SE#$zpiipD|uxSm_B^>n!BWy1qk-xkDG6=2oNX_>PaSLu#j zk=uFn)pBa~ovW-^lZ}|$ZU?bH3#j2;wdeKD%a?u1*y%$xm3|7+ZqeDae|*DAqRY|{ z<03I05ICM{h=WxB1wzAd3o$RTP>5q{#W}TvZb)L4dN~Rwr}6=Q)S0TOcQ$uUH?=8j zDhq9d!ek;>J>6CPx@*Fe0*$j99giS&bBA{O$U4Czbvw-+u80Sm3w>`)-ALqTs_fq=I z@~Z>$GpxI(*5SsClXI|mA6H*f^PKYhUtWiH^mzX?&!Kch!G%(Y3|iwfXF}!;$IgQ~~d)R5Tu6>|v|v zUKDBYPViXoGG&S3;UnpJxKQGk#@^gja+=;f-pzh`)cPx(8m;6uYTaWrTgZgWMJu>^ z8+C-<63J~RH0L$+)~E$$%?N52V0~5f^okLfDHFj2d+7#YrzsI+NJvmok@*kki9uSH zCYtmGG$eTF2Mq_uo@cl4Ffb1Jp|lu{uS`7CGfCRPB-XEyWv9(ZsVs6mzcdC1zebOD z^y5&;c*CR9d706Vi`Y9_4@r&1ZX14-{G6UQ_sVir5yp&i)H*ybSDX1}q4QlNkC4L;Mc2m zGi|f`ucS3?e`ofS5=%(${;bPq!^nyeSObt9RW&_~iGSIzuMNYljqc%@XO7HdqMdr= zgw8n?_0jb-(^uJXUO~sJw~nXZ?Q#AgQ=4|W>Cn0J17#DX9Hzl9AMuSacn*XO zXWUx*(Yn{_NlUEVsg_rX%W-$)yFPB=vdn%xP!rQ|kJgKOrK@qxV!Z+`@0+qrLPcGJ zJ1=IZzF{8?V^<(G6*y0hh-15c!1F~*riW6n-15@)Op_6T+^FR5=i(~}ceC&Mk z1pN=6wZA>A&OJt1_~}I0O=t~fW?ScHuUW!%Qh**o!gS*MqZ6(dywUOSKh-#^Fdkq- zi`HyHr9e6_RLE_K>~h9T6$}zC;wp&R}ejq%3b_ z4=tALTMWh$3fYDT-F_JYUb{z90AF zemplD-$~5uzWB2b*QwQ&Wm>_Y_3a8 z+Vi{RY;}xLTh`}9w$Alx=aV0T@+Y(cQ6I$ExtR?1w~U#tz1TOq)E$dJ-2Scd_f74f z6Au2e|A7swW6$>&&U#fGqzCv-w4Q+7n_XQ_ zW;a0lgZXFJ)b_WF%kMor%?=nU7l;7|Pcamk1VeJ|MW0CA@3QopQqrEJI!2EEx^XJm zXQ+Q!XK~=`0vcjv|CX`h)3BYoCmG34wIl}W3S^xeXy+VqF1S6sp}m}Li~5@RcP@=+>N<{hMp& z{{bT$y#Q>*=WBnB>^s~_`@+m1j>Wq?wWn2*nrYkkEF3>#8m5k4roAP|7nh?ybQrS{ zZ|D4{Xt*d{$QQ#vW@ll-Tzf3f1tg`~@>pdeo;;lTjER0qrcv=k} zJwOjgg`1S5hCM9@?O#W^_+CRHrt@K`kCZU9&|$cR9SYCpXTdI#elhw7r1%ZnZhlqY%u^&vJ+^RR@TV~ zg_ol@{WH)rC=rg0ODzh!2F9K_TEU)<60aoGmtARfKgiDgqch|X8*`_o-rpk?heQd$ z<*s$_^Y7Bl84wSqd|K9?Rtw$qV&A7bBt)@29)V>(dgRV4$b6ZAHr)H838bE)0&#pZXjKVJykt1T}Ki5qCZPTfeq?R!Dl} zDi1F^v%0qZyTPq@WyJS`^<1J$|19r=s-_W`z3ic?;zbd%6`@JoV>MfgG9flPGpUXK zs)ztdp(c`o!owNe-Q~PU+Y!n1tXuJio4d9UppZ7y2Kp6(@CJvYgmn1d0BbVA@ycA2F8y;z%dP+<-p{k65H*B6+!;Q{MmZRFZE-&dbu z1NqG7A@(_$QkOV$)ZY@hPq2h{jyQ_?-zY;rVxp?#kEfm=uIDOV3Q*$7bBl~@oO8L{ z{Ct3Wv3w}i+qi$EC2X#uX3XWRCoWb<)bv0fO}px1uQSsX(&esi-#XWqROA~Z-_>nz z%sne@+V!}m5)?kj6Coda$+)XEoyvFaL)RZu7tG9~r$XXU^KaC9CSJ$T4Mc&AhF?Q| zgY>XRRg_`p^(pNabBM1?vXe^6jihf~Wlx&c-^sLP%l6QiH&>9`KQO>1Iv?n0bvX6> z5Tm~jN3%Cv8KHWgjjSByUgqKKT?oJp?k()u6 zrgQn(&A}|#g{Ok?3(TYvn~3*DAD{7lJD%sJ@fUeUfS4QozI$$Jb?xu{V*#uPSXyWS zGexg%fUfXN($#+gT?;I@&sT$GL=-aek+u?75^7k-O;KR-`Is7_TQ%iloN%AHF(>qu$L}{CJ(OIxtP3}P z{J!dFXlTLR1xsG=4>X>^yqHC1uWQD^0w1~L`_>0k-TxJQYp?GHR&`3tY8AArql~3!XLh1&P?F>q-_+?M5 zyn;Wcx070Gb0XJw#CMH_v$7Jaa10G1NnZcG=XjNa z*KgCfux(|<-P^OP^0AcAxZmHKgHIh>bA73O#eUC*X3BQ?f3y*mGs!RSk{JT9BawDp zWH!<0&ol#&&g+awbF_M4V3#ilM@*82P~YP>GYQ&)`eas$m5`j}Kh{gPg&vSo!HQGr z2IZZf>$?qY;T>vrMK_s|Q>%k2OBEMU3rFY8g}ycI*?7{j`!IlBGqcwa3+a=KeL|rl zVtCT1)!9NG{?W>#H8^U)AoP9g-?hs3Og=qkSM9#!?22|e7YmnNrM`Vz%^%rjNeX>( zp88#j&>s7W_7g!#2A14@``>Q9giR%xEv0fbO#$G!)uTTg1cs~<4%AG2mC3O}Io6i; z2$?fk=yC6%vubiB@4nMDy9|lrRO}X>@?AC|^3bhAs9S4NT2!ImtdlQ8L(;`>u%BM@ zDe>o%kQ(oPxVCRAmNIFy*iVn`lD~fXP`@}BaItIUqmOmAMu5VPD*8m9u^xplLi2HGFh9P+Hch%u8^ya55!YWN$T_{UlyEv#`pEtdr>tr@{6lX zC=s4B&z*)@o;%^rEijPchF!p+10{Md=9ezVQbf)vFB>`v^t)}|D+5Pe_h>u$Xbj2$f12Fhk{oLW zqxt4(c`@L)T*S9ZJxRP$3OtYPPB7z*tKH zLx`IxYZxGo?k~Qal*6KpwM@$Su1N6JA^RPb)VW8GrC7=EosS--E9DLKba;(!AWet^$j(AItu$O1sz5em) zPKwd<>0Vd6_EoBZji1eyE2+`qZT^(LZm~MP3YkdB7&2{RuG=d3{4UehblOzs9KAo8 zShJ!3y*)>d-1*m3RgY@_RxaygKAX!9HF9(Z!_i+aSNvPw;hdn<(JG>!+5N05S#aPD zcKzatzu(0<6RLm{n|2lP*;$87xss!I3#_-^k)_l)hYimh7)hMMtvMc8JfIK9_Z9Z7 z==rbcF{5j2%W~@I*gB*Bxm{l>@~668Nh#ZI;Yh9T-=}JM3SV9@Wj^d6k0IuETZ$5J zSy5_F>=#+f--%N>+rFOUlkU9%BQOnKk(3kH89?duD_W{MpJyBXp34ND~HvoERR4aHJ)(+7!B?A_Xeu~A}Iw%Msq zw90h+UssxuC8MkI?=n%@#1wZzhI)gI6+MMN1XX@lh(1-|#uWb35Lx(xxTdnTvw5eN z-c~>BVZ4@VX{^6N%?kS1P^%xQjrsTDJA8&8;!0NJt;#c zW!eVeDG8ajGr6{?M-x#;b2YXyZ4DINY+~>7XP6RlJ(z4NNIO`LhAqKKDYAL0=dyOI zLUit%uyZz5=(r(Mz5BW6r*I38({@ydiaY1%w{6C`Xp8L*Hoct_(PFr?;P)~flBjW7 zHa<4dj0f@SDiAqE#k$x&!Q%%pzpD^&uSJ!7(bGey2kWbQ*3~ho%6p_CE#^yDmp@z` zQvMEijVil;_%?UffOiD_I7vI-UE)?=U#$$mcP!J^8Be*WS|Fz@5cBXt%ENPsnjc8C zTp~|({&=`+;_40`#(mULw9bIZRenRQH7`uJiXK;2Q!O|}L>nw@k4G}kDcvgP`~cFfuc5mUV=4-D>ZEc&{qjkvvh^VUfSe2$_# ze{!nAb(NkQWwHg?hB9+f+D1B$&Ogan{rmg;D@=`C?86`BRx*Owt}}WS!dBaxTG#6c zl@`zfKYdCDv@agiv!2Rl##~=uj}o-=39qi{Fn4+gzsoih;EOTPIaeycqK7Rt zIIsEiyoqwCLmzsfm#Hw>i>fhtNtFJAyS;4V?+Z1vCdn!-?r!*+>N%t^Mp&U`V?A=X zqA21#cItjYk9>1Qk^O}q8FHF4tTGA8N-rPxp5)j!(o^ztm#@FS+0G_z$A=WZ%luhj z{?wkST0SEjK|Wh{qL=FC^1E_D*#P=n)oqgIw3zyI5>vM#Cw>7s{IY^g#W6m0{AMDt zUe|SnkMHZycSYmVc^;9V&iR)cHR36;I*zX^qmI@@{6v~{%sEuYJl*2W^B_n~n-}0O zie;a0ypK8R!mSrE(ZX_th!l3)S>MrGsJ@(KX%-8;6Ta%)j9?!2 zwcE&_vV>W|ItVrnM)q1|of9Ji6hFNZ$6;;3{lwvQhq}RL_f(hBs>?EB+=YWk zLk^dnO&*IfLe)(s>ep7w%IrMM1kv+7VdXYv%uyJlX#8o1%43yc=E;jzJ63kq2PY>q zKQmU;D&JKjXRV8xy$q&pe)=9~SKZDwIwd7#hO|v4En`Vr_hAV^>x7G;kx|d;YPlZ` zOCr+F?`FF{)Jq+8CBcj)jj`&)@wVF}>SV1YoF>gDLzPVq%?|AGWWiWL_PvBjK;tRp z98LKJKNl{K-rtVwx?6_+lx^7c-S|qbsudref>&0(5UpzDdw#SNJ{YQK<0n99cr^-ZEAb!`D;!&r_4u&x+5*t2*9tx2ua?&Xw`6Ce%<_r@B& zca;tZu{`D4`$M;D*VQ<3Lg-YjEMSQL+wfF++?m2d5!^6W^yq8H=9z*(4OyyeifY(j z3-9P&FCYfJ8_l$JC=~3etd=1VU%w^SPRgw;zT$eCBk5C)o+ysa)ri$M&}ns#op#Ug zV>GSR*yo?8JD1;*kht#pp-a4vYseE9oF%dd#U_5zBi2;%6E+DpsmFh<*wuTWp5C6^_^Pz)FKr zu4eB2!^3gZdh%4y*B7ISB#XredqtZ$X$RZ%Y{Lg+iWi~1rj%H}znD`}r!7x4G1kce z^=KuVqc-M12AT-5iQd3GyfEz5@pF*FWpdiwAX<+89=gJN78 zU6b^UJKxP;R0bnU-8^O1j6m#`aUub_0lUMXlV%S&7p-j04$($>sm%tLVoU+GN$Q^ss1G2-ttyDd7?L)1yFg5Ettp%5& ze2+&QzGtNy>&AVaE}yZvWHD>py5+>%vq5W_E*g+Y;Oql>T0N3-w@t@oTn$6C&E6@v zJh#~h1gTj4CzpxVJWrJO=G_6ad}RTmpALPZiblViA-lD%RqMA4Ax-7fM>nHzGX;beL3#tC)*eRrF zT|xFBzyp{-FEcSw=X;^Y#gbgr3r9`MuzgFzg+0+Q*#7I%c^}?S zh^cz>HQMV%C}t6A?V-}Vxz3{cM1WJ*Fy?#yt6voxeRXDPa~zbDK5g0l7h^(L-?+gv zdE7yshm~~mybs7KQHxubAP*pj$Wdhr4l1nlQner1FIrDZWlH?eMw&aI+R)Xcl^mj! zZO)_)_87w^F}i0iC*DvaO)M=ZHg1O-#SQr zax*fe{eFFK#qVkBM%QU{1mVDK8bl2-oFeV^%7YeGz^&@VE2F}13{4W(;pmtOmcQK0 z!+^^d4h(i+QkfX*A~1Y!*O4aSCpiy{^>l9DztAvCyW1nNbJa6?G5i2y^lQ3+`|{af z3&Fz;$!F|yCR50!OExIQ=#t1-wTw3+nhoWff|K0Yu9tg!c%T#gm|Rh>$Y+~Qo~p}1 zY7QqlSVo&puTHsPi3NFV@w0Vyt+mrlA>@{wv`Sa6bMNQ99r&FhJ7@jg&$msfTA$+B zhge%X+_iLeuMw`W)7MO=E@%;{ZXjUTp{78qX@J0Xz}k;ZyG9T-Qk)HO?LE4J;I-%} z5L->GJEUN^M;+f#Nz4~{$%LmQOX#$%y$6PQ1)KA?Om2GAcoieYt;%R(&bxZ?_H369 zy&ELfz7fB}L=|x}iqLzkkv@@>Zmj1bXyic3bt5bY|3uSFJ#snBW+FEIQ9wAe$8Svi z7J0HW8@#jjx(J|Y>8-N`B0%HJ&X3U;%dm&I2x%JkjHh1=WFe~8fo3+J`3(xmZ1~m&$na|;<);e|m z*a3*e2CB=0s_?fae^xgUsfdg@+fL|PLX@TS@apP_8iuDTrS^PQPt?k`<`$LaV%Xci z&$fQdy0s9yc*g2SROL{VDylt?(r$P^lwa}C9>m!jH=323J=(vzl6oBEH7*obquIh3 zfSErIJ1odyEC)=PTzAwk&f#2&ZnETvjc~SEDWlQ5 zMWe1m9ypdpTHX(w0`~L?cDSidm74b9DUOWx+CpGA7O)phV{}HXShIi;I z^q{3X7=?BQkE2BN=$cLLO)nfQ)%0gP1pQxoojZ{_BN@k+MT++wSh_`fY;(y9%QuRi zbhh}OULx$W?L}Fed^#X(`efp@#ACC9%ZcCHS2qxdk&n=kLq|iOpB5DFIwBu)ddM0k zS_sFasOalq3{DiQ7REB%zUikQ2(riRvbOg}9&tM+R}zy!d@dj4ewt&gX^`0dN=<+) zp(*}5ml$D1fRE|kvo-TR;aC?`Ns|#R(8Xp1%%@-+3rT0j}P_q$D5su%Nw@QhAi}$au_V*Cp--&?B#zA}3#9^bD`n-e|C8JWln@)vA@b=5NvPns zY7-k?xLHzzS%3)Y45U^FghNET&13A4 z=j9TK%))LVcuFUJfFi1n|CLLO0+}F8O$@Xy(^$e?7ZYJmBj0R7)QqQ5TZn7|Tj9tv zXN!7v*FMi!2W1ze^8G^LIo~$B54~j zzXS#w;Vc7D%f(OmkDcbM4icQ^I<>a^9P}%{GOX{6gg)~v6e*b?kJ6IZ@xjm@9{3*1 zQDvfBBADG5Q{{I|qAtj5?Q~<|DQ*ty0T+9t0`f-qPyRmVakq_G|0iv><@*{|KQskr zD58I*jrtu)Z02?oiIjY3q_r^9H0>)ENwf>Q&w3S3QD^H@m*Px_ycIdV_3uP7WXbNoL6gooo(65>S$kbiaOpt<+xo#nKW_q*T zv+ad!2t-lX{^=WkU#Ftg7Ad$2$Z1E107?~EEVRl->`_xY%NeP>H zu|Vl1%X5b@CP$-^tJ$QODuAmDHM-{MgS2{C=2dSA!V31v+jX*bQ@^z}2RLxC;nyA-t>Yi?Nz^f7xAFID zJL3ohLahOHZ_NrSGFFws6sayxmCf_HsGKu00Q)Kwb@kNoLgVF|_b2@pbqnY8u!W8} z?6O$d*tpy`dc~5zZ(*FzH|sQ%TU~9Fl^tHnA(nWH_DRVIUCndDDi!camkVO?F)Ou# zSmZayE0KRK8OX+86nhGivfgUn?O4it0|rLcI9s?0F(DB8CwI#z9E8~7T#t2>F3CJ} z4(K@G;o)k&$Ro9iLQTbBCY32{V7DhA?)hD$KF7y!U0LO#_1mJ(U6x9WcHYYWRd4{4 z&{keELR?r+X&25gwOJkvbhchnD|4`nL* zqteIR&Wrygm`v&RE(C&dU>Enj`U9s6iEjT*`N-(^-hQ~4l(SM@N+j3YVrJa=uk>3h zRAw6*ml4#{t-?rr9e>}#jCoE~<=5&xTrgH8dd!!>=H$|#9E{XPTRE2jhe=_mVRPzr zfp$vgaHZVJ_{07(IZnNq?O(Q5`WvMepF1EB0g;GZ+!zP*NsPODuk7ijEKtGjpWhdV zs@O~P2Qjn_S5cr=D2Umrcg*v+9BhM?)g;Lh1PQN@IqV!&=Y=gf&u@;%AFo2zy*Dhp z(u2H5?0v#St#G!`O%JLZ)2RyTlBaNCh^~zz^0~`X8hr0%3oO@lzR9kvb^mdZfC;4= z&EbCosA7`Y^y;&smLW&l>uBvKi~%+zJNR8rlT1OK$7Vgp>ossg{+>RF3=0EAhwppK z^Nyd8yOq=kO=kAR$&kBQC!NO{0&_6r7Wc5XsTsqM^;YjV{&yAA4p%VgNa_2iS`z(tSRTH z3K~Hgfg<0ei#1u`Ds!%BEi;zVBuBW3E|k}t8t%4p8LFQxpID1^G>VvzxKmmcm-o70 zzHPXx*9A51gR$#4Srw!5xGybOys9(`Y$cX5-zIThJaNF32WrB`zKh%S9{*9*tfMZ* zV@L?y^ppdg{#ig}*EK~WKn-})Q~M90a{rVEh%@&+%hATb!+0`I_Qg6I7tWHCaz~J| zrY+?gVl@SQcROaywkqKzrXwC7rm)<6Sj%kx?pWe%bLWJIgP73O6wTFdNxBW46CaIQ zgU+U!;4Vk0c6c;`MFw0x+~v%-GiK&f;Pxtis_n~3zMchd7QBq9mV~>J3p)R98CJ18 zd$2-qvH%(Kj8IX4DkmuRAt6DT^|EPZDtJ6pQPfiHfE`PjDJS&e2gsttHXCk^xOVGv zcyfLIM59f$I4(_8=nyoT76DQ0yY(mjVac&7KD+~_@AqxzzBy|LS`Bg%;?)bwERIy< zDME5SGO*hs;+TV|)K=TTa;TsSAkq@uM^`Fwf)_8qVif3`}7B^O^M}saMlf` z6b0JSVDb^>Zss=Bd*+>zD+3EA%N1qXOR7~dijwnH&K58^MlmcA@-7+d)%kK}0NTx( z>~5@oE>_!mtI|J}p271uxM)AIzpPQ$Ef z`3aaAHzZ3oJ%3N=k252CY>7~eb+B~#!s5Z>V-3}v6TSu zi}@A?-e7#H`4sVy!wOS#@IdDccUd_S5o3iBToFc>$a=JwyP(c8Cii^K&q=7#SMXkx zimsa9xg4rf3R!<%uo!jj-I!@*!C1;1Yc4Tf4^JtI@xsXxkifM-*@by~S_cn!%+W zu40ToQ$RpOuy|8T*~X|O^_eZI@YoB7!t5k@r#RV99!%Wrg`Mt3!#gOhQx|1q+N1MQ zF=akKDntlTJ*8GAtB=dPOJt+|%tYB3_fKh5&#o4lMa<}*(XQ=__51Dl3^ZRW`oe!M#;CE{)-?YVyp+qs~vBH)H zQIk(g!zA^=7lq>LJ%-4d12ZAE}_$>cn{It65hYqB~S<9G6-I{z_3hD8YQdjgS}gu`XyefAN>vU% zM>Rupp31ny`-Iz{ml(s>FU7Y-r~4@I&^Mc!UchIPIwrYIPcR;jXx+Gxb~9gBODLX` z?sIqu4)#YY>;1)ew5ENy%jQ90Um0B9v$}q^x^Hepw(1d@Hf7?cUZZrmiOA%5KKvt9y2D9CE1~($;~KKv#-!zUve58^7Cx zZM;b^@6o=z#Q0D^B-<|EeKDuMstliUS2-qIgKIp=7y9l`r@THoo_p3&kWtL<_06wG zY;U^zYVuWj85;8c0E2PvL6G(aKd*86w1WiqSl=GBJ9 z`o`1r?MbP+Zl0YrW#82S8&&?J%)aF0jXwV^Jw|o$b(?K<(~jGdj$qx3p_VnHLdC;Q z@%oMx_wuBMG9H^cHk~vvHlBv-w>o^yR9^-t1i{w&xy8i?Wrpg(w=BljdHgq>M@NmL zqrazb{}SGQG+Kz=uaTy}vO}Zd6zisP>$4(OUSPj^H<~>9PvLRCHG=mhB%U|vf& zesJ%J*LSuS8`+9+JUl#hj*bfvg$Eh!TD*Mr9qyB6_Vn7CewiV1WJxnSok%1aW&i6@ z3cmKvX%B_sduC>`S65fxv`u`jtt}`m6-PQaz!tE%T4Bi3pcFuG9B+JEwy_Y2_L%V( zgaWU6^#9zf)WSn;1-iM= zoVm?SV;F==?S7JQ>%GWtX+>Gt*CtGP5<_3%>A=9isdY@LW;Q%KOt;Z@ zO&Fh_Z-3MFSnJa9Fn(7T7qO+W1*pSUiMuzN)n0x3)i3U%W9{nXbeL{@ zH~}8CxKi_^dM{nL%>Me=9vM4U>MQ1{CeJy(__l8foraCozqUILLAj-+rNKFV{%@i}?@A{{3WI`z`VTvVi5kJ-&jwO?5`P8Gu3x|TP4tyS$kV;SF)H=6 zg5I9nCPCLi8-KP=l<F4F=XAjuF;C*`fPZu>on~x0ICRUDh1o_=Dk+$GX`+TmOp&d$b0 zxw*O7Vz207?PDRbm8FwKcTr`jXJ$|Hzq7P;Hp=`EDEv+XnS6lV@<;Elu`$aN2ZNtQ z{%cZK`zuACZtVp_QNH$)=ggVe%}u$X{9@Q+hCPv3_99szz73+!gBsJm$;nLc1Xeb- z#;F&@|Kkl-tTLIBQkORsVhyVzZJpVw8i3|LW(CvB1bq| zK7Rc8Ea&n22M;ndyJ3VfR5QdxG!n{Q-03G0b%f%zvbBG7cSpHYz7>d7oo_DrA1_G{ zWE~m)X)6H^29Yt0xXs$0YnX2fyGd(>_oP)o%!FeYu`J>MOZr#uyMNuCfFB-C<^O*2 zBavt#k=#*~#5ytt{OTtofGB=9G&8H)dR>3f0*yABa4`TwnNo4b$55)-6P%0#Xj?|QU2wo zhSZGN_nk0#(ZsiOw^|7}zGn8d^3v5mHuz<9^nLBlHa&6s5O~!7-Y*q6=S82-Z6bCo zQqG>9pBN5(`#nS)@Rp)y#-Dd~*|ENM15bMY$CKi4Q;ovUuh(l-WIkEAi3<$(CvgaQg=YMKvcMlM+xGpe)0_Jmohq(wW=3R)=&~*tF8ClsFe&4N?zEMjU zg})Wj>O3gafq_KR8t)U^sS+V~s&ZGB&HLW%vVL%ty@Nt=n0JkChl7x~&5kIrXJut& z8Vg1G)*1^XL#IA#o-}aGd#I+FtqpMK?R}aq2VK=aI4Bl;i+8mWND)>+-!7q#LMa#+ z96U|;`PeP;?NRr&)8WsW4O|nN0I#*v2v|c6HfNTjU7|5cA1#1Qw16%M0i(_{05FsR z>z$qV=NSv?V%jE@wuk-=Bdn~fVf^0l9C0)hijdDpHnX5Ef z<4&(cvN{-4WQz6?A4YX@baTP?_e4%m*Q0ha?-WlS25`G>e6MlmzUpZ@sf5u7Na%zA z1pI5Ef9UD|HU;>b9(#{LbY~bpSzROJMWr;@NgDb>_c34*Ur_6ZF>x03s|iZ4Q+>91x>P_U9ef8Q3~q?HCdgBBP+dy2mS9TeHSg zugoxfYqSCBwK5y~d%b$N+DrVfC%k-l7JnrrEp4tNSqe^$W#AbU4yJmij0Yv4kIK-T zsTJOfIK$P+C|xsOH@0m8sD*MWvw$P&lwb2x$>c!-fpb46kiq#fQXC`$D$xS5t#>7U z14)GLV2oaQd3nQJTska_mc=%C{e?YJj=?O@HH*$dxB(LyHT(-P#0{yFxez#&z{TdJ!D>sABq9tP?Vc^lrOq9FNn_ zxs_}M2M9?vHa4TIyL@Egd};d-KCd8Q3rO5+)L*x?O6Z@;#m~YerEKM|NH+aQ$>d`s z#fm2SCT~O0(>>lo@gJjr-7z9m9IyK@0EE?%RLfH57bY5Ajb4LqfHN~3 z{$GMRI(4C&2lmMwivA>6nP4iu`a3xFLz7j0f z4kAfQ+5G(cSJRK8O#oq`w26_CFL%WNgqeLwKy4wkXKM=-FPx&SUF+k#E-x<;tNIP@ z6)mP+uh;?0J!X~*MFR?>*(TSq8Xtkjg3tC(0hey}yAS_&0Iq+rgz|tKhi{?x(Nr}( z9if6s1vUCtlZ=IIPKUpcmY3%?AcQM5G79dK-&6oYoE#Z3A0GoI+Efre-K@4Tm^eWd zTd3LhuhE=za&bB8=UUfdHg;>vJ@6mt%jO&hgNy5*MD3E_e{^iOg+iJXBRN}2-nZ;E zEVcjX*lztlfkAY&R*kc34-A~;f;0Rj`q9F@pOD%2i^$>R)0*7p1Sm}VVpSi{%d=3t zDvi(3lj>`rm*PZP)s?d+ZXc9-NJFnMIA=g4!o~fA0min1aR`wwl4?FMU zMu@!AzdAcVZ$B@r0%%o?1McP|w7OX6RsKdQSsk#QJU_2yFM|TW`}mO$Z(HWIGuQ_s zECW_Yp-}pf^?;K(cw1)qMtK}vGFjahcIyHW0C0M>B@P>&Vsr4bw+h^URL>g=WkJk> zB0|&Bs8nhcxdY>cOYX3)m_Wa+K%-n-J}~a&SltSYOuObGR24DS>*mA;giuEy_L13G zvSV#jdZ_=@h^rVyB0bkSAV%RrXI@&o*MbB>?r%s4zr18<4p-JPcNn)!`PP~i+M&_1 ztCe0=Rj}k5jt-Sy8VjT@0>dD-FNn^Sh1o@1RAIm!zwlS$6#Wc0H?Z#e)sCQMNd+of7BC`z}P^wB^ln zLG};A(s6PKOhVE}*3}rDfF~y`e8V47s2Ln5=6;{G+*d8sl;WaxJBejJz779UZZ>nbYaSspDz`y~XLcFcTT`ms-%?Ge~-A7?4!Xy{(=IMFqJHcgZ zvLiXFjKh9_tw4Bs@(j63AzY<-cOb2jxzrT3Y-zJz-R@erYlN2(5;Jvk@l6hP`CwA{ zsW_tpX>OhFrrmbyFcu3}?+z{dI*ysPGg1<;J4hX1UBHBkvBX2^aM z!3=94xw+L3JqC}0pNk$w!tAdZy|ZRyZk{7 zE!bf#KJVgdwg99k7xH_g4P`DTuF;}&z}^(?;T`RxPzYlInIMb>q`+$P98Ltb((-VlY0Tnz? z;)hQzaOXdIsc4=9EAy?%bLA=v^YfpKg#eDwBWg%>^_>HqF1N{~84eF~{( zf66`(l|XOsrcQQzDI0f@hL9V%39gqjyW)MFDqqn%+GNv5%ry^JtBS98?U`2{fLm?1 z=nQ+*%?+;MyHKMsRMt-QN}OO=Laazr0=;%W;)_czpb2o#rmdK$yZmn6-riTnI(7q~ zF_Ke7#lFG8Bw!H`a2fe#Kh1Y#7T>b^Yb0#rs(9K(lY2F$Jp0eyv|0E9#0|&{Q`0vH zwEvNvEt_8yK77Sy)>G@K{osy2eKr60x=+O&-ydlQhOd0`o1}Un?d`+fV$akz*OL~O zm)#!W*MOWZ4A&&j+-;Ear_GrPPoFi**KOok{JRisj9LfL8~o)@4%h4tdE+P>7ehu9 zif`mTyYAyRU&AnJ_SXQAAZRupI%h(J8;N@iv(B*L?(VS27tXaXK7bA%<}N01p?J%wNkQ zMhs)hi~J9M%!HgHZr7jhsHl%X6wFUi1d-D7F2jIA1BE)qI^*G>F9F6x12ZG*P`mb& z84X-oC_Wh*Bnf{lVCbF4_NtHk0x2nH>dVoCGBs?G7yd$Am12aE57wp9lFva=nuC)} zP(F7MO#}V?U2vR9W571XpN<*q@82Jp1C`*k>}BLX2>spK|CLYuuL-D(FaJMitpC6N b$R>*WXqZpEw80FcsVaBw|6Op)Jn;VjK3$yH diff --git a/paper/total_timing.png b/paper/total_timing.png index 9129f5e5d0699e1ef698a5ee8f8e495ca34b7d6a..0d8ef3e3794b4a720f6d5dacdbde1dd136907ec7 100644 GIT binary patch literal 86402 zcmd@6WmHvv)HMvFD5#W4h=7WMG>GIORHP&oq#FV0J~Su>ASEK53Iftdw@PGi;uP^V1_tVQ54CEND-wF7_Ya^^=BWJE}W2bGUhb5(LV_{-$V`8Xt6Rl@uZD?-B&dkQj%*}Z7m5q&s zH7^T`>HoZf+1$#2<+rMBGhF4og_yE678a2<@_8yrFwqd}6c(2FlSlIQkqd(kYJY9V zYF4@}-d=dCLh0Z>7~=k&LN(%1m?Ft5^kN=^O}^oq;2`v^FQ%r&*Lt!x=4BsdKgfQF zVl*iXs%U2=C^ZrcvI=Ttn3I1dudw0{_60KtHDr?6QLcC$59NEiTlDlj$`?WBP>4T@M=lP9??K84VWMVjH>M!p6pylBPbM z>vq=*czCnJo4VAc1sDVsXiK|jN5WxHF616%>qtcROw^N?BNB!qiK4ewQF| zT%UR5>MG#0wOCbC-9NW!<7{TR{@ z+UOg|UbkeYpJ~^5@!|#d4Z=ZVhIY@`*qb*9ap4#GqQ_@}3r5JKpsr5vIwWNA)5V>* zzAa(Q-tnr(7s|IzCK+C04EV5Kh8)L$xbOd89UEqP0fFe{WeY}PJYw(nt*x@(;^N37 zLq30gzEmXw!af-4suzIt_!Gr~7A^2X!GkHh&`czMIu*KOL{+dV&i zG+O0@xv{WdB_kt)%jO7ANJ}jdA*0^1$Z<(xGCZTs3xOsxL_QN$j_)LXmSQqHv8P7~ z>pnX>k<(DTcpz3!rgnvPOSVc{Wo2bj(9qC>zr`r`^rz@(*Pb;KPSrrUk>eOv$wxn9_E0a` z&^Vvs<)48T2eTao^mIt4lZl-xSqsx}{ky`LY;^ylz{`}ypFUlL(fM(^M@L0TJ$Z75 zGlC$ZscXVvc6RnU|8elMd_+IP%uGi&>sghWtx}A+DK}jItt9z6_V)O@%|6}97oCzW z3=L@#j+lG90U|ZVBmt-ahr+@_+c?beX&d8}Z&eR%(npOQR7SmcrhJ!u$~>KJRJ5RT zfYs>ZuFp=yAiBs2b1;cV%=l`3rLS$x>k2L9CNjUTUcKsnha46-En|9UEJGDXN8Ugh zDc-RpLxUWXHM4q#6mp+%t}52plAqyvs%Un@iC>&eUBrL>{K-^FlR9L6sjq*Tgaj9Y z{F$(@upZ1N4)x@ZA3tpG9?H_u(e+@^vHI@@&GN5MQ4MQ#+QThvY-|P}I99OMHa6Zt zp(0@Mu|5X|&PRoWgor9A5HFVp9Ki2PILYhk>fXJ3rS3*!()( zi$TM~!|K{*1VlzkDk+hUj*i++?zh(H=<3c>rnr>#VaAR8Dd?G)d|_ka_#d#DV*~>$ zE1z7xaz$KPn&$rf&v5JppB}GmLdUsXHcwyQyS%)+o_J<(@ynMlW6iY1;qvhCJP{G$ zRQ`oQqZ}L@V5&YvMGejs_DeYEafI*{{#hWk#n;L&^?4?fX0kDTxc*gQWy`QXU(Uwn z0jx~?_wSv1Q4P(_>0IG_FgkcRaS4eOa`6udiTO1(HGvTk5;{6MgIS)Q=U}nLBqdGO zw@~nG@$q-=-@iYXp2D>05&ppNGOW%WT3Rlp_X3=p!SKff$*}g3EFnBwOp8{o%6xPN zn}-us*VNg$gY0CNG#?*)h$9dNiWggsH-E>gGo|lg!r+nKd3bdD5>xsOn$hy{MT!T~ zz@jQ~Jq`^Bc;xKt9M>HmAODv@;kK;Y!!!lsw*f1Sjg5|ze~of46B8?N6{$0DaOAdK zRz+3q`+p#!a_#9HdE@wg*eI7%`7?RHS1iQfjl*40g_K;gK4$W-8^! z8BqCw`_O54h?g&4UL+$EhoNWZ33~ha(a_T;|4vf3vbz8K_ivc+E(QWOM%Bf}mi|B) zs-m3EnEcor_msoJxugtD=V9S9XYKQKzJZ(cV+HFNsW_q;9(zgdAPsGN?X4~;0;`#>a zOOrk|J9}VHPmc&y47a6DsbN*CMbS@Gwi4s^o_+4FV#ZB3>2sSk?d^QO&i_7Kzp!e& zAxSJD(QzZHk8T1E)5E5v9-isQj**f+x-k!Filw%=8ts_kO*;-cIxh(1oMr>|m3&Q6 zgsuf!-YJrFMCZ@*jQN~Gf`efpHNkG}QBrLF*S^c0f9G0ry)8PWS)|3qZ_(0vY;SKD zW%NyZ`um%&4)r%z>twN7R<@;83Rq73LNj!jenq2&F%Py9h_CFAdoGU>Q^3OA;pQ$_ zbX_ed;D(tF=inWRBuYlINBo-OWRN2Fd}?-2u5n23vjO)Dj^y>t%>oNETBep66hC~t zyl(OE6q>!C6(Si-W|Drc+t^yR?cmftkdD#*5%xh~YN5=OJeA^a`b!A7gEQ-!LM?B@ zt;)13K8Oh3t8Z*fE!KlG+@>dz?JuIc)t3LRNq?R-TM@arny|e5RlrXMJFAoWqLz5{ zGp4or*&N13OQQ*$l*Y3&NkuzOffj?Zj24xjHTJe6=RdSJmD?`yb5$VuModhMd*Prz zcbZ8lGq!FPlbf&f0BycYm3X`G558Z8%WDh9jt=83@uhq7g2Voyg{*n37&_aPfG+>M%~&; z+>TF7WY?|s5oyWlHIX{>(>E|E9>9H)yA)QvsB6@G+8j2j?_o)9Htt~o%{$~#a~h-h zoeIW2GHf?!9{v$LTp_~R-`{T}m=uw3?U%J~kkak=BJ}w2Tml7`C>)h+gBCOK5<=~X zPtne-7@c6#Ua7ghsQq9~g)OCFEjJp!8?`-OU1sN|52>d;K6-lIgp=SY*G?-PDQ0A3 z6eyRktE=k;+bNS<8{;~U#Lw~?590nlUD0}3)p&A-zfBHq`zw)sX#)_7t}mR`j9_74 zNU59d&(y|-B(dQd4Ey=HoSbr&PSvF~WB_6vd1iz45I1`Zt!W`-4LHuHox#Bgr)Wq6 zyn8V#D@!tz^{a6ART2{Gl`4|_XWuqEnua69sd4XHR$^Ufpr^Bx@2KhyeCTGLuW@nF z0>WiP?sa_=lLc)&8#T2X3MoO`+x9TK=LiU@Al+TN_G0VSGt7c7?C=FNs;#ZfcAf^p z2So435X?&ds5xn1a@GK_05}knkf?w#MnNHkMsvz$W9g`hOM&FK@zCnWr|92c2tis&AB>jjqslrq@(rH`m4&wO~X zYik&RJ)xMCj53`+@6Jz5PFjw6(f)Mau?kv?(_+J~;9fOc6@}%7*vmy)hmr@t1qZ;~ zDrUBCn$`GJ0YGO!%J=Twd({?^SW*&+>Cb1kU)GXRyp%6nOsXL*-K=enG9++xL+02Z z+kQodMkZR)!GVWb#7Aqk{rmdD>~4Mtr74w>gvycTgrv;O%!+hIbtkvaRu~r6A(lx7&+F^XZOm=^uT3WX(SZ%0*7DMtB2Zn$&j$r1|g7Z8_ex1>?+LspR>715KWiz^Yr%z=9D z5$Epu#V9e6%J4}#nq?L;S|`ISY_-a&s@#TiMHQpJMlBw2YbYu8Ol2_X(4=%G-$x4D z_6x52E21L)ludpVDDK6Aar^Z)(I&sYw|>OtKLmURTLa6M+Da}#@&}3-HjSjDWT|ng z0)w)$a%D}8Zm!Dg|G3RbNmJ?G`m#<&1uc302 zeDx}+H;eZU=Izk=8)j!p-Hs0XaMk0l%^uu>=b@;>rE>md+pR9DtV}i?X-x>Do7^7v z=Rzr@SX8;Ra<~tj-`?FFo1ZsE;~&qzB{iYPTc@Scke@&A!>kCw9#${1VM8f+B)k|n zVFBV#X=-W)GppB^ZVff;EtO|j4H5oV%%6E(U;nf#U0rqSU^X$P*}8?_BP4`IGavUq z3gBx&LFoA_G!}4D*WeZ56p3=}HOIBs?b}fUWiET9C^REX$M)WyoQjGOI$m1*AEgj~ zWp8IXhK%3w0fbhFX+LddpNsgAYNJ!(C8bxm2RMz7w_CeInr3-)mTryJ^2j4NYD#6! zJhajF-(Z%Q24R-&+_`h{>eas^DKJ&~qF0Vb9q7C@Xs2dXclQRL{U?BM3K<${R%Z9F ztxIdcBtRMTV7m`VYHdiac~W^NG1`${QQh`hoT&d)c8frqVupsk=-m2)s?saV8yi*K z-Q5eM#}A`(zk)Rh>fHW*av~xk4YvbZD9VP0hTz5z{?&Btbn-7=u<6xbH7gj!iIk?r z5)crepJskSJ#*U~fCB(+z;USxDJPsjd{EGrFRX^`cLesAh4}dRlu8{rNHpxf_GV2G z!4=28jg60c`S=_sX$HW2kl__vq5#|hQitPmlb828)G)~{$JPE6uf+&fh?>=TD%b5> zP&PBF*zcsL>{swYs=!_jkXOwNcte5&&*pZ7nhxP#5SohCUJz!SV9)O53~+ zr2``*%|#wAvjH(HE2|X#V^kK(0Pte1MKFedoU^sm$xb0%tu9DW!w}7A=$=sEy~mJU z5zM7Ei1#UGt$h6VSJp8z?mgn={P3W~&`xO{bMGJ1aN0IRCLlF=`uLb^bR+8&u$d1L zv)YfM;qYLO?7^#x4IwPk6M-_EsNfqPE)*5yn^IM{8-M+oGpf78spLwPYJZM~>D{f6 zd^Z6S{rrANnfO!!HAcq+O6jO2MIqmk}&(XsNDA1V%!c3>kA`f zA1$4MO8@=)_r9)$Y4@F)Y74conyDifQhCgO=W=u(hfkY_AGAM(hSqj#x~bbOjCr%r zu(GyR%C}zzdgkHd$ETt8CMet8S~5rH#N|)=4kzYP{fO+g>WVC%Y|4|oi#)i_$K+&s zv+@IUf=o>FHAOXe%bVVSiF-4YC!1C>iZ}Q73Z%6>rr8f|+ohvvD<#G;fF30VgE`kzBX#WXZ1u^OQ1KYUX+Hwn@K&6(36Zy5?pY+C=@|WrFD! zhCff6)V0{&i)a!7&{$d{BqRj8$IxOiU=@jL1x4-c&msFXLbQ5ar8D}~gYx#hd$kKn zR#)X)QAoIPc5&%Hde0y+`Xe24R3vr(R~g0SqTE9{K_z?vb(JFrBFMs@kE;znfCxP% zoKRkRd3&dzXpgCo<)WYXz@$8aQuicdvYQW;h%~%<`t$;X}#hibV1<^bA2CVBhm(uf=WZEf& z@R9}WfuFN#T33;=Kc_#kekq|m)--}g`|Q{__*#I#BOT{{=!<^VjlX1Lh$5C~%310< zyl@@s_t%FKOFMag)kyx9Z?NaC9ZdTgroQSLdaLeK?qIEFV8FHO>>)7yfq?uvpF(k> zqp^U2glqc3!U7FDzBC(ZLS!1r9R_Xx(T6gu}0_3CA*5% zJr!4sr<2+@$^7?y0i(J>QBeecB}rt&#SPaZCnhFDye;Is^C%ju^CqT$_L?-Q3}BRw zH({tDVEIVvW*#L*;?vmJ4r@}F=YIo$#dhM|BUW0uC?DLGn%2cgIWkFPFg!5THlS`= zM~H`KY}2_`VVEpQ1y_{E@K1SkL^~i!LglSCX=50>2W;t25Pm7`M^0r^i<7rrwX>8t zR0z#k-fCN>KDh3LMI4%wG{wu4+GjZ2L|3FQV4w?!HhkkcCJ5PB@f`Asiq_rgb}J)q ziB5Ac2QzMwMTdKA=57VrWcY=t2kb>Zl9G~&3`e94XX}?u zS0dejC3-VxCb;m;J~yL{^7!feUH~9?_Uu{7_Lw(}H`?vc0YW_NR?{bE)d%`NHE7Re zu6``D3hJV6lm;rQG%q&)0kSE@oRX80M!tD7>uk(*0_YalnYdzl)OQ}yI2s9W znKl3>wcx&fgN2bX9+1F)ROd7U;Mu)R3_c|vsi0tamk+%MRL8WCg?-7nbRdVQq(Kge z%*b6c>etPTleq(TrBECNF?%o ziD9$+ZeJ0P4|9iHJt%cM!N3K>etL#0I`4m!UZEs!03=Uex)jBBXBX$KPA>Xhq6=<7GXjO z(8cKFMtM^nyjVSf5B(rrsg(nON+_Ey&e^kP3Cch}&_h2!R_@ZypsIOk)$(Y?{NUI$ zebuu*j|+~pBlGhTT3T9hnn>EYt;1ZwD)#j0SVDxEPD3ygvVrtPF9+IF>>QJkz&PM_ zc6JWf4ZD;q|G~qOjNnW&E4Q9?{tqEa$|@*S`*ID{eiQb_vfu1AC|oMrla#)z|NNhx zWM}}}N6ld}$a!Zn1mMf^RD}6`06f{cUUmOnq)%B`_-y&%E(2seMvanCn3@)NivN+9 z+M9vRZ(5yffTJ+d$lme*DP}Rr_K#G9rh678$ z9VNY3yd(hi1kNu6BD+y}ROk@zcCvz1?d;LD_% zXVLjW(Gn`Na0=0Zcd&MlsD1(E(By|y1Gn419su~qCuPNQb8`bA%2KlI-WyQa^eUj> ze+9a{?^**kSR8D0%c-lIqHkErT?c>z$9iRBgX2Vk67%>H9$qiSHTVP;1(%2t z$i8x1T$a3u~V_E*4G~K$!-iX(Ze@{T4N~(4?AQ_&?=O437sUt^CLpnK=B4 zk!IA=9S)8cPLU04ZCCA%w`Krw(cWUQ1Jn(tLfH)nEiEnk#?}17-~xEwK0YtUt9`Km zokF~nG3J21IpD+{BVyc4i-Uk7n+FCKlps=%2m9pI7^k!2dKj9N}y4zq|+{!vS9?M-0ifKtegL)IoIv}3liB5sO#G=N(4Cp-|SE>hBWDZBu$ zmX3YYQCL*@{k;G3X7Iuf)KIYmRrPxx1NkF~*}0C+%6Bz1KvK7jLtUS-)h%?Fh6ag1 zy(R?pPS)S!;{nlF{_W-hIQZ>Fj102(_??dqwh;P~YuGv4j5xNwFo%=rGOZbtlO}P# zt217PE4#nTU8i~eyo{GD$PcQ5W$zbUlxgnran?N7kBf_gkS6Nl0_4CmO$KDg1R$qS z&Eof2q(TBrc@3hc-yMoC@bqc$M!q~Wv7Zrc_0kba9>XS@`?jX5*{b-nS$_X{A|k=L zc@H8gX$_5`XPPl#VGe)0fiUv4xr&egw{M>=9&C1)j;i_d9&hlF^Qome{mfYKM~07K z*@txaaoTK0)Y#Y+tfBA|{IZ{JG^?SZ!PsWk(ONmJD~|F}ey_<(0|TlJV}vHLIdgQl zRqpliBQOof5diY&0tk58XvW!J@~u@&X#=_6%qB{Bj6~Z72XlY=2IfY?M)~&bo8K%C z08$laUtq59-(L;YK-k2}DA_n4Tpn*P(u=)w9iN@~UDU0Tmi=lSZ5W&G2Z=*v8D7e3 zHiqml-&aC3jL|;4I5>Mxx7cPYbjgFvBpW_N#0RbZ~Hq_zjED~B!L(i#%r70 z8xSA({GUjjfaQVzi!J!ED<5Ox4E(Y-7Z96fuXnm+g>Y^(oE-fF8%{2bhwiz z0DGchSv6BjO(2Y(U0bif1i3P*mK?7`NJiQ2M*#MLF)=M(w9!e=tl5J8@4(t-1c7w? zarN39*P4nmX8Y6msD#LV6VBH-a{WiOM!A%0!A5|`VL~rmzy1*zV~A8W>&{3x#*9LG z7~h@GKjX;)S_dp86qjPaZGr{?Xr+YUGji~9qL22c1=XA| zxnDv;*v$sGp(g)f#hf5_641}%n@QfAAT?%_jHa6>*V&?sY z%h5rb)r*!#;2h9=RK=UW)@&S7 z{yVW);b-OMDJO}|zx-V(66Vz&l3IUXOU#Z9R#kqP0;Nu1fgS^eA6)K1PeuuPeGs&Q z-7Q}iwh0F&%xW0Lo~Z#1IdV^n!y$K(B);ZsUS2P=7#Lf%f^pQ60_>)Yi6>{2&Px z6ciL$11>}ubJ;_==g)yprsm@-Nsp)6Em9do5Jg}AP^l9ckYd8Z!p<9=ibdUOYQYzZ zY)C=ce;D)dw9CNO&@Q!?uWyxpcBjiJM2Q;|ijIsN(2_^d(|`8pZ4wONp97b0`nL}!|RE<)VNj0_Te>lSC9v%tv#9T@SV)J0rtwxZZ z)&5EicsC|IZHP|5h|N8>-HsSiK6_TT!?hR(c=lZ1@B)H^1muu-diJy9$C=^Az&4J~ zHSTT)ijS}~#ovZ6eC))!WR?aLrsa6`N}q8?C&fJIIrW7F6#u}br7F}8<1KE7?0}8O z%k~zjSy);Y#BPg9{ey=C?EtA7fyk5r#hl-16WA+(uOM*h*Iec?D#AU%kOR%T8}rDT z1DbjXbA?PtpfqnCoT3_p7eqeB6c7sbZiw2S-*0gt*%~y3bI?z>-}=vXrP`Zgc;)-| z?`jYpodIUA&viDygQPtMHUgQ-%CyEvp1@PsI0&{I$6x^41t`Q_vOx~v->6#X{{H3f0;^NN}-936==(-6OESn&Z*<&gacZ$oTGew~8Vtbt*y ztgVfAshU^mWWj32H-Thxn$QE=qoQrZUR(R?c|+t`p7=2WTi6ySnr+(833>bX=erUo z!251{0z#^SK6mrpy`l&zisM+>y(Yan_*at+zPH5)7n zqY#fDe0Anzg(USzae(l!9^9(%ATntCCJa+Q3sYZ^glI_>6K85Ddk z_4ME@o_+|FD+CULW^YL13=G~$N%ycoJQ5WV5s7OdyK<#s6VpE*ji_n9?MVE(p=@YK z*R5tv0MhuEprDnFZp{b^@k)6pbeNerIf-9`mRk|c1(g*Rr%8`R&l>0ukS}00a-@GL zeE$3y*k|@*gr5@##-IB}fA0k|D!XT7ut5F4f3W1ng$nlk0Tr2=8m87>H*VVFr%Dka7tMI71InF(g8xsa z4JMPi4erCtUK zXksE_KWpOcuBgCvb32OT&CkinSrokB_A*Q9+_`hy$<__^^>d}ts^{_WfU@M|xgQ-C zCJvbz3w8k*asc0x`+P}ENazaM7CNzvoXC=hsRO81SRmK{etzi@BIcwxfGYq4pTv7L zJ6AZZ>Nv%N8e7>gbij6EAo4RYr7cE+>!k?lT{{=Kls05*?6Km%<*}an6c|`h;;?po z-{I*KLT$0c7qYTiSRznTd#5unFtC>$9XiFOrlu-SV@tXElCdWY6`neEN-Ek3#@>y} zH)x5LibgqaFFQ^X-r&xxvz9?&avZ0l(S3&SdyA1@j?;%LwtdefC4EkjLK-BXl#rB6 z-P?ndjm-*06nP{G2}$>el8DHMOT@(b6Vub(D9BqTuw6h|+vCes20Pi@WJ>4XTtpaN z?b65ciHwZInJ$h9E<>md-k-pLk3-H$+ROe6QkV()P5`fHzenF^5Eu%)`t}-*3c{U0 zmxZ_64tM)~I$9~IPRQ?;W)ZZxTC5-`i4T7O@&5ax;6A!pgl^rc0Wj0$Yu`O2Gt^VM z2xrgZfCr*wyzV^)25QKrB%02bysQ3zuF;|wqOK47Hza{>v3&~k{0Qg9j*jf1Er>7X zt7=64yD_wwo~*duX;&!8JfiYklRyc1us6U`w*9RRKMg9N(f-eMgf}ob@OIy zo%NADk-S8+ssCOJ5eGPl7SK+m?hz3Y{a`c^o&*(s-VcuOgL@5d5)m9(*A42<58>(X zqP)Cy4-XHZuKP!Zc7z0Fp%e}9)2s2LKuSeO%GXmm>uF=0zgaQ2OG3agiwBsEIadTx z0J65Bg$Bm$3{lk75F}T}>A#CXuJKIWP^bq|4|x=GLTm%Y3n^Rt{J@cNk&-gK%^I#x zxHui-Mgxh$^bfGq7^ze*;ZT z9}2~}ghDRP(u3Bu*n~*)p3JYm*Ejo?BIMkOxCqMFa#b@r0X*DfX7)=>Wkh5Hz;j(| zH+Y2+#H!Z4zq7Uj7o00A2T5SIJ0r%+>&ZYMV3vp*5= zS7Vge#T5d~{A$?-*vl5sdzS=BTW1R4?9Q{}zlG8bQAV>X{2G630z5pxT*FFZP1~e(E(s zrWIOGbN0+BJW&w=lC9t?yh~r|mbb4jzmAvx$B(xe8GXQQS46i4m~VZi?Ja~P$LT%{ z8gZi)SW?SopOb{eM(ES}9H_5`N*vz3e-8$(cb!IQ3>$EQ;N1^u5lR5wF~6yy$OGl0 zrPR*O4#F~~s^ngvqM{lC#;-_q{>enoKZ1Db9wXzOd-puu-A{uW5aFW!f1oSDCL77@ z!usJw*z=1SZU+oUkPV@Hdbu)Ig^0+&MDoxd2O^OZ<9vK?w8In`@T^rpRLV5-tx0B& zd)nOlM>$$4q0kFjt+9`=V07b|#lJjj+dAk8VX6S-#P6(4TLT3U2$2zeHGoj&9|XI; zv5?(z-(mG7Jw5$4eA~ME;48`So@Kqp-K-}uRb>lLhX37Ozcv<4!xJwsD4P|nLn0AUir;cyNZ z?B&jKH@ED#V{x=j0Du*klIcbO`jN5e@@!840mU5P(Faq|RC5&GuPD2rI!FT!ORsON-aF)oSfUHp;)G3#dy;&V&PhqSDyVfCow@6he)Dx5upD zD`FLBkce@E&@pexePh6)g1~mtxjB*tVa@?iCjZ>hvz)KVUj}NSM-k{?-My!qtMEg? z#<*(jP>A01$KBuzXVTA7%2Y{%J^_%(%pqunz*m`P&n_vXypYR>k>91@ws_qlu!qmW z!UFqT3b>(-VMfCjy?a0HO)!i%IthJ-kL;5Abb(p&PmB8g`4E>_h)WW!0wVUAvuB^l z%02}C-#eWH|E0yBs6#lDp)OeqkvbCQ&W=!+zBiM6dV#u z*f4F%5nSd|zusU&83|^8-cTSt%?`GMi>zGl9Mc%9eUs*)_XiJ@c4bxDZb7>taM>z=q~ zb_RjOEFAqnZoz#c(r(BBpX`3+f>`^TYcH;Lsiu_{;^PCo`!(sO=R>OQP<=BRf*s`i zc-pW60e>1wYG@KjFIjyGqB;0~JbJU@u^Ce61@q<^8dT`Koa9b~k=dJI4uL2)0Hzwy zCQS1OtKqKa&z)mMh1*yhYPi;*OY_|r?pm7viz^hB{pRIT&!1n$k`dUsgW!%$?htfa z6YZxV^J_#Q2Zwn50=aEV&qx_JUNMJjbcjEhsp>bq5LNm56 zX=s5PtkfNPK=?c|@s*(ot6X=r9$JgSkGvsCaUGk|5UUu6B<>p-b-fumiiOl z&D;$Z%{r`~RV|Ci@FPN;d3r`1GsPgpVP z2hf`oK9n}XfzzrWbGw{Azi#P!dSPzej2I%^CCe++qJH2+^9W-%xNkir8A9gurFrz> ztgC)TSQU#fYGrMm`fz~k-PUz8bSmM$9aAZ#24+B$!J;5wA|l{~huv@@^v{SA)^MO4 zJSbXQu2p`gBGly9Ir=Js1G&p3l3b`pAj0pAdQi>z{fLxsYUs-kz%BQo&EWGtHHfpi zE^Pgxx!?02tAn=-;0fUaz%wxcRKz1=ls8%M(za(!cXL8&vQM@@Dx%UmdaB^{INU}1 zzX|bHE=Dr}+e!_@7x2hK4$~Ba=FFISLvDw8k0a`XM0qSEM58*{zp|B*N( ztG{unECy}6pMg{fV(89t1rg7oy|2>Ky&tLR6FX8z6W*GFxFbb@83wC#-Sa}<(Es|{ z#%@DlQwTK)1VbM(_77+Ah+A`w6%j)Bx%{(Ax%udk;sNuO9DA$o*5X1Nt#~k{5&U;o zS#|X$)KbaYj@bzyOz!gVC_4db-lzIAq^66nKBKDq^2oJcK+V3KSpmhd^T!Ouv59N! zG#@{|a)~{gdFckR-Joqq!WD_)U7jOaN>x&=7rR_MJculipBw9k=EEg>BZcmas>!?Or2ZyOUuBp!0y!0Y{{iv@{{`T`#wn zMbP+q z6>M|+z2E6*r7dpNHP>GaV^#dxMDCM-ln7%A?_;VsZ~_Mk*Jwl zY|rJN=I~|kZZWXP?{QnA>cVQG^w5kv?@l(U7>X49Xox(&*2D!0=m^57-I;xoH+Asq ziZNAO=C@Dd2maFmYx?XrEnt2oi2iBWePSD_{YkC9y|ANQmwCZub+6WFF!*| z%R)NCy6`BHd%tuad>vB%fSsWpF5wL=7^F#0<|#ozK~D3bMu-(A$h0Q=8folJU4saQ zHS+Pdt|!kLCm%nblr#;vVUM}b_K#rjLr`IVo@pGAmW;|j-vJ03UQlZH;!du2&>!ze z?Jp*NT^{Mmph#3GlFc>nueVc-0fFjZTptA>fPaJglfU3$=n4PU?$twqj#ffN#H_mg z>92^``;%xndfp9|>j6?C!G{>b_Iig5nV>7*-Me@3DR{r=H3YXM%1|N4YSp+cqfuk+ z90*};O~vFyzRsZ?j*(_yGd%Tg11hk-ti1@_7C5pffgQdBPCLlWUe0#Qs?jQ2XM}@< z*9m8u;-&?w&#TL@f=lJoe|Mc3E*DHuNE>^1Mfw+DSCEFiQg=7-4#W6E=nbyXo{ed2 z4Di?5$OUlX2aU0K(4qi+QRGR=FYi2f@CA?}pj>$T+OL463#Ox;3MM{FK*@xo1(YsL z;^*c{R(#@v$Y%24Ba+tvF3q|s+Xvf@J7MIKh%W98{<&)KiZDz-=?}i8Pf!5p+()A4 zj~6N`^%Hf02o=7)?1ois1K1oFfhH_G2XuI4(9ulX(O=!_iVL4RSWoDLF%7O z%O3)E75zftMRf=H<=z5wY+}ZJOe3A-xzhFprH!jWFMdML+4FA9ME?HIqH)?Yd+e5# z53BJp5?pTPSFRM%T(cp$LPlnYK7$Ow@DGrch?Q6HVEqbUMd#(;xN7#J@AYdwOW%PU zP}ALbJMkti6%kbef!ph~-Dq=ks$-WKs`jK)!fd%`asPg_YFSW-;=be`XqMoKPdtBK zJ*0{izhdE{l|5XtF_bN?b4dv7J^!k>wEOfBSga5OAQGAZ$+Btv!a~BzkHlyrWbRz) z2I>|#{HFVRM@3PzVYi2n4$Tu&Rz!#JE6PwBORIX+ife6bEy`~S3f zg~LKuL>oZMo0u3@tf)UFEE#koDVty4qxznhn5|ub141TH52!KY<2~IErgVehG8cr9 zL@YfBn|Qo0U9|Ad&qv3{C%-FG-(8*A@o!6%fUVvsC$CTk!}nKe{^2rk8X5(s-Wrk^ z7ws*{x2i&~3&^$N(7yqrvt>YYB4RQnr8Kya5b~=AnlgH!!2-gQuLjArYe=&UFeQ-a z13{$%ay{h`79XljXBobgGe7_ip!-b$`G--6@&?G*rA@qFnEr7;nLBsSknh2&_GuS2 z-O4T52F|4fXf2$QZsWwimyxR98$2j^ohMT&yAY2k8@mAPkyoM8I2F#=<#rXk?qIAe zwIby3{teEBPv8dVnUDMS4W{BIAK#7QL09=gM3#u31osE*HPG>~Mn*@Wd#nWV5_tuy z((<@767%WfKH}|a)Q*$z&3>L7V8w?W$Cqp@*S+|}PNQ4)k@=g@P*Q}M@bW@b6;Zx& zbPhi!XI@(kbg1;Cexo8I^8%?KD4(jZllvv7q!a=hQ81ejQ7{>-Do+_d_<|>8duz&V zWs~R#_gAM-`s5qyv6Yo|HXh~i3r`t#n95UoN4DQ>+xq%?=#d>m@R?4Q1%ML6VSPiz??K=B z%Fvu-D8b*@L}sXY^r2&Qn!S=*ep!&h1GTKuyH9V_pj|{qi;jrwuwadq(z*eL;E+V?)+gMp!L+sH4Mgsi(pTVC4LaZ^e$q9ogUhXDyb7ESm zyE{TWLCiuJ(Bv(SLfPF11s)o7K-r!=*czS&!`*SB?Z?Yo>j@XFV`{0IGoBm`$mV9- zev+-rAtC#k3xY#-@%xSeriai`bUODVD%O1{0ZcoD#jB2{4uUoxoj`X)8v69~v~yL! z?*e=d#fruTz=up=orxzIn3>Jmc93yWys)+9fV84L-<7sL-|auy5Mm8z5fUYDfYe?# z;w6F7er7mL(BCIgDucNcfRhQ-ml7>AO%W-1`P+S7)VOn;pNFAAe5~u z86D7N`kM>AOl8urE1&#=(gwKS0O)pz*&1^42L=+DN8XDFBEJ`(nta2JMX+e+Ocz6Z z7>a$nWr`$;Gnpr@CXA2!SUP8Cvuw~aZP9B3{ocmcV{Kr;#T%RFpk^zZp9nLg=d5S8>^0|0)wBz*LlwnYkRQdF+azAp7te z#9k@zrz2U>hrJm~mM26Zu$0A{XFlf7Gt8^yp0dxSCA&?08he{BB1M|!Ca=hZR}v%+ zO(@8f5>#jnCHC86*1|b*Z#U00RVYUNPKerR3@r~^tq+gEv_@;}b?i7e+=plKA#Klg z5h~`sw$5o2U)sL5x{5_u+uv7W_bnkke2`w*YvRaAB2!x{9 z8uAusY%$WV4J;|e>E@Y&S40V4F0_`}Y;@G_P$63b%qK-mf3J7^%`-x_T{|b#goO|? z#AIY}M|urnCPC_D=Lxd81B=tBd?X(@S#k>xPP0DL2OXV>#u3xT1ZTfrt1K<{Vk+-h zSX8je;LKb=-*Nyh==r?x9=E z?N5P#l_Pf>(q}+31N_f|2IgWPXu5}qfUCDUADnMIDeQ*)2@PFq4mR59It-oh%w9MwPnGJPPJcC zQ9JuCL%it8;P(Exnv!z=k%3lSO&N(pQMrMBSx+XCz`P3V&QKrIrPSiM^77A=%yT!V?z8r&{`B}(e;caT{+qp7 zdlM1-e1}6^@(SdU=*Kr@G^s@V)64X0<}4ok*TWUGnUnJXOg`j3-)gF>q3OMwnR*7y zw~*pEw&&nKV?>naAt#Oj7&$!Ih>4!%qQ&%^G7EIe*W{4Tr=h`DCJRO*`Jyo>fzYq|c&=@;W zQWA%9PRXb9BlVn05X0uJ6Ma8`uwvH6YS?9~GiVJIRS)n&ghf8(#RFl?!KGO+S$GWm zHWp!4WvKEm(AG)~R|3q*XDy`U!7!cv^n^GP^N`ihXlBYEcnlOSmW<%RgN_6#>#%le zis28X^E(#Q0kVIN zhknp()oeRoI3Mmz+dDa}4Idqb%x4JhI=vBAF*0n%Em>{ii{vJ|@gOwnEQ-zbNK+1W zq7q{x>B>cQm!dq~zUs7nGnQ-;m$z~Cb>c2XD~%i4H>hR|pug-N(J?SI*O{^d!FZ-C zjT~ro$`B35ABg1)qP@dLgaZ)3r*2w}=nc4TMmYnFJ7%4V^s}afyo=t4D^rw3mmznn z@G~#CYwZNYbAEZ>?{aq6(SOTSGl?5IlPe z;Nra<^~6w*uEj)BXS|F6Yrtw(vrxY_*EavfRmH1ov*|%_5@pTZ){%@L@bYvVj@na_ zCFX>e882R7Cc=o^v@E+au%1MrUhk!If3HaW>&l(p;{h3nO>zG{;@&n)f03fVW-;;* z2fuafMf)M)7s?T@-0WVB0ty6*e;97rp;ZGJ3Tg>?NUwe zYJ@VGI)jfWB_k+|nrbwDBrt++805d1D>KiXBA0SQ*f1Cqt4)&eX-u8&GXu*uI4h( z@=q{rRCOKjeLm!v4C;KhIafb0Uom64VSYeD|G)Rc)$@Jx|m8Ug|m{gjb`4FYDacV3PqU%Bn%K4+SqZ(9%Oz7^y*C9Ke#iyzd6b~A=0VPk-3 zfy}4cP>x{-WEcTZdrF|;cfh7Y3Sn@*#s7R4Phj1XBS?-%Y{oxs4y9myn!t_ZWc2F5 zDwVkA5gwM}`>pZAti-X&*|uGlJdCcrlS$LxO_8nFM+ZuJ%1sVj&aaHb?KnUPg3(=} zMp9e#!cb`hSb^B>7S$k3Hu+IURUWn<@a5?fmtVzH0%kR=pwfC71Frne+u!}@DW#9X zGhBJGeyIo0T2`EewZr~!AH~<7k>EUTQhkMlR;z#MbDw@ z)YaP!7;wpIl^|63n~mYE5HP{b6gMs$dgj!$K&}aVR4McqOu{=a@i^zXGa%ei7B1O2KA=$yEt=svq z!WBzLlwg#FSGair2e1oN|^B-EA+qN@Ld1)rR1=h9y3pA9UbOS@p6{}h9 zYVY8%0#3L!7$@R&-oCZvM7iyJy`1>yDN#9Pcms zRhle>rbk^cQLa3B@J#fiA0KTU6M zaD!WgRib%Z!1AsF-v;Inuv7coF$SD8 z&t_9628O7`wvPv~!BZ&dphp4sSf8i-#ULjVs@PmE;lV|1T<_2#_j{}^ASD4;>y5a# zBpqb?tz+_7toZ*ZHvWjS5^-K02a%sepWVz|-vG&gHB#T2veQ83R@E`4;eCm@?l6c) zqAan`&|(vdK|Ijo($x`N>CoIG_sJtHeC|p5f=!B^owJMu#Pkwwg0rpS{pB)xTbmhl z(?ZO~-396Y2;IJ>u`2H{K8O3zaN|SD=I%l1SPKb9{Hns$&zXzjWeo?!MBcb;27}e1 zzjYyD-Ih*#v|1nIpxcSYVn$^Xv1jmN$84(nD0L;RjU-HoN#8k)M2&oOd*eZiUs$5w zw;Rl*Jy`BKOm$!feR5loM5Sl<-TMUdy*v14qCy#ltdHC9yZ_%}4+4Q-zs5rN%go|! zE=pB)Zy=UIfTlf+Bzw1U0owDux#?3JoLBN+x)zhXR%Id7uD>hPs4SaRf6Dvl!f=`D z+QIkp7TV6^c%@`GUnV;jtQY&!^mEZ9$`_lj?R`4&9mGpP#Rffy4s$;eu|na$FMtMk zTSH?vE-9yUiO{tHq*LLozh$4(R3T%b)G zdL^L*i&zc2U(wxzL~ZAKq>Ee!2uK{NnP&^S`49Em%C8->DN+~+-XWTg8Q zsrKVgTlvQ(d@bm*QQRZ;RuO5M=xH;3E<$Io&Q4o2D|=WfH+XKj#7@=j<}<1I`Wt@i%php?Yc1?Z#TU1 zr;0PvP#-Yd>vP2^T=RN3eBR~)EiFUFKzlzecJvs&`7OkT?OW|xJ@L}IG&{Tf4HsN2 zIu%*rRR9{}|Fp?=p$B(6rs6ZM23U7w9x*+hyWH+C)fz2vVu_0!*>DS%jl)FB32wkG zc(tNmsmRm`Wm|R4GT7Ec=|A>&fY9*#QJ&hpfR`~0ycP7`UrIQxhISW0n*d~|HSq><| zikgp^Q~OF*)+u3weg7?rT$6;3`+^UsB zHlHX5r^$JfoY2q<;8I`R+^iWIivIRE9MXY72@huxg-lm8q(U{&9E+)5p6xt!-l#6s zcLuDJ6)w+(Iv!vd+%hB#Amn)&5}Ivtq;DWyJ(k{dnYc+D%=w z|4Uw7(c{0OkdSH@Q12sP9q`;DQY^3;b!0@#3_XxZnn-3cw(R9hAIZgk-HHrxJ35-l?{b$$3cC0T z>Fxm*+i`2_tCO++(=zQnkGFem=#Cxb7|*rZWdm3P%zrag{&e8GWE-_yZRN*a3#Tpn z6r}4~=|HO^80~FHFgJU#Ui_xfEA`+mIBZ!So*G4y|8848{2^JOV&;bjaatiBMeV-Z zL%74|sG@%BPxW;HYQYoG5;p{Ig?$~O9Dzk;t9HP1-@OO-8jD~BH15Xd{b!5i_zB=f zFMD>eFX5H8*<`(^#Rl!riE!yFZ8`pxLF(gupT;7h|AV)GsJ;GQV9-mktFQxYlwqMEM*ytr z4#1;myRAut+43{|yS6)^ZD7&^ew6u9ms_;%E%z}Gdy zezk>75TeTs%vY~?94o&@rhDVr2VeR;B>xn5&6ehu#=cc2P@DZ!Tttb;9zPgLE;{Ak zkr}=8p30~tsutYA(Qc)HTCJ$4aFD$PaXr%ridabJ9h5zsFWavpEi%LL)IDfhLC?s@a7X;H%8~*WuJS-)yRRqR)=QGNt&@F7$DQTUsBFC?IKDJioYip( zik}xQU7CLCE)5F6|H+9L{@jBH$H3nWRkQ@K8v`OP$9&-a-zMmvZ;1%oh^v!TnxiL8 z)(lK{j}BADB$hs8Zh>?Pg~<*neMOCf64>K2(s89YRnC1e%)gOI?WZAcikV~Y5Z%$6 zf1%F${BB|gr%EL>bK=eXToF6Ge^yr3pJGD|9ympfKnM?hn2?YV7R|yZh-djO2m)L8 zlcKa*zkH7;6BJ1Y!)azC6C>f{a{YnX5gbj&(Fe=rzYTaKROAtYsyvplzbfdrg2gE|^&y@qbk>OH7V0nhBi8P|iXw2`^ZUX&sB}h;J znLGaiw%lSy@2Dm|KDhRvy3~!IqTYs-lP&(1lLhO8KVbsLOD_g|yPXsNwP!6AK<{;MIWARlHZ8|mH1_j`B zv(~D%x|*<#eE30s3B8?_Kr!JoYQ6&P?Yh^ea1r(tScp;)N#DZkMQKolAwo`xoi8B0 z17l*bb4hPHsgxnNLiq_zoSPD-#mO%sd>g4687HosE1D(kv{;&`WLMc19#au5-Od{piM^G7PfI&;LqkJEv0DmhBB&HWyBW!$>jf{` z`#@wz5J}~IF8kQ+EVhc@q@Ar9|A^zXw9dQxzXCz%MN<8*KrlC<&qjbGRK;>CP?-k@ zX^%ChwN|tZ)r1Z1pvbHO-&SdHyQ0UkiT8;)*@N?l{B^Ie>Qp`yc=IpWVmtRvG*odz zW*b^s3;`L4*f0=fyUQXg2;U(qrx|Y4dA_>Ra+1)fCL#Ug4yTlen8HacNh??ipr6vn z)U>*@ofPfJ8?Hv437!4Av4hW-$CmKMp(;Xd+dyusV%kTGU8?%;1#@_~HAWDTaX|H; z)-?YIgeSK0T|Kzh63lX;565<_eyn1-a9S5_MRt4?s&qi@ZU<(kv|}m02aCqoRLgVleuC}Y{r4&}+z*7T7KHtnYfJ`uFnt6r^oM;CN}3MJ zKa^36;ZiI&&OdQnA=L6^gk=7%OXH>PsC!CdtwzCR0S{2@7Z^xxx>-Bgikk#)$p2N( z*9797IrBtWxt7WpT`5K9{?8wJ`YoD%&rV#S90#5uqJpWJiQ19sW&4z+jwmyCc{Z}| zmfs6Y{X9mFB3;G#a9yLE*h{+zBfE6By12*UYzZ{i*jG8$Xr1o)K<5SM93TWH38JK+ zi25K2*`IpX2YPW3FB*Ue4GNFBQ_=+6`lHWdHFx+Nd}FT1U8lWv@1v3{+6b$^Op`JBU)Ug9zUddF6rKUj z5#VzKBODDjt>RVC0&s%7=08iJd2F9_1C>rSBAnD$Bujmab87Sy1EX2wx}T{L>wZ+5 zM?YD`*vYlVvEyrlKbae>4z5sW5`}%k(DCIt932-^5M7a9va!67G0FD*-+aAS#7G+! ztO;s`*7P{R!rKwB^Y2P2^S4>K1hJzu@DTOJ#BA4zS5j@+vVSYX~PAJ}345`!{SsCXR#G@f6yO2fwtKG8_ zUZUZ4RETXg4!WhV;xyHo^(@J_mBoI>450Iv~~8kyZ5$(_UdY5Ba-indy6+AS33ohE-HZ(#&<3qOe-%_~67 zbz)|w7WDAOAhoPuN@aG^?b>iVUNpuDAd9TXFg}D5){Z)HX18K(A`!-@Czt@IaH;cR z(Tsxkki)la(bPL4KNo2vU>j))x_?5_tQ#$Bh_42`t^n^O&7;oD%RgLqGxFf}ZbKar zL#41F&Ye-I)elPd<(O>rkhV@+DjnJQ)J)}6hw)mtzt~^_TD--5c*kV_ z)lr4U15d7HoBFJ!Th#i(t9^(0CeSQ)W@(5*Z=*k4bQwFbnRPcU*{Iz{%W3;9$38wJ zZ}obfm5D*iBAe%TUV8HVy&>QGIAV!SP0O5w=2{)p3=rOmChBMl6nltAVsz-|JKl0v z8eH#Omsq*OBF?$lDG#MI%Jh+jji!Q0t`|bh^P zm1VT-B%l?L0-`KXBUChP@Bnymn}g#6Qh`xSltgaH$&ZY0vs)gMF?%%NjITdTd@sD{ zP%1Q>cHx<_ATa!czh<4_y(ZLUBS8wo62BZ+dLhEM%UN;Wg0yHf=O3-qj$fDJ&Wv6l)ul&TRUo`c* zWH=KY&X@Ym)lo@{AH%$U%Se`QWcbzc9j`r=<1DlkLnTSm_*=5dA-e3tWBcT>VCREA zwBYoQ?G_fGA-r^MmrwgI3gIjt)(!%&-N!Niyze^aP!ntUx&11|WGHqN zbPVO4vL=wl;Erb~>na#+ao`7tuou1D#x@NmWz8hY*+ipM1PA4rk>5R9G^_`?Ph3lz zNi{~_z-~n8xLChz5ypyJox;RB1haBOBQ_=8Q7?0s2n1rC9pAoxzi%^p==P z4^r^)AKMnw^Ca&-JrC<-j;ACGcKdY76BlmjdK!+D)+d6|e5%v&t}1k~MIr%R@*G9| z%dK9Hzr@#Q=Q@cpbxt#)yLOA-o-%aiPFyM91rPP@Tesd!RQr}RCm~;_vj{4RAjxos(-Nl;T3wNXj+qT9UlUVbJr7ymYGN5% zJC74i`ffTXcco^iYx;7lMm?-@wX%;WJS%ML8R*%_=zS4M{?wj`8 z(S+}3cMGgxn(kXYfPKCIt}<=cC2q^&c?RUT-_lsK5-K;MD0%EKg`Ka~icQW`7X*Bb5qx#C- zeQy6G!znBriz|Yvt;PA$} zT_N7rl-m`Sh-flS9r;=T;IGE;9&NJWizG2Q?%6!9FXZtH|}*#1%Qvia?|fMP1NH zg@TLE_iu}iATP;)Od&m{B{M+_p3r@6^Q+i6kc8x1RfT~se+ybyUyDDMTBlBv`f z?qI0g+vxcEOQ+{|OGuvl4O0Gp8?ORm# z^-+R1G*=(lThh?QhQ{@WPoK_IATB@5$&rxK8u4VZ7owF?8n=O8I40xJ#5IjLkJGy>2 zvht>m@IQ(Y^zfngcP3HA2K?+yX$HRzTexRRsch|8D}J=N-eF2JUwkRolv|mG?fYaK zmkCiZ1?^8bTprJ^S@;2{C2$#~5^-}%!~$SueZ7f2_hmBgZb^mB70iBuUb2t$? zHrE?XVQ9g~_oArHCQ~QFGuMXCc^-}TvQK=yH){|g-i?p5O}i}5=HOVJOf$=M2|H6IT{ zIA9(1TY8x}pR8%4h}a=i3cwHvbeQ>`G?<(5)q6;%I1a3BM#dAQrNX5}jKAqLhgaG_ zqs;=tk`h0P2rn#(24UXBzjo+nXyq99XPoHrH7gh0dsMh>u{z(moyE#l4Ix4!IG(P> zn8@3qz78@!m{nT88l z3-AHE0m1bzCs`4tXkEjI0$}8G&p_AU^m{G0At%q;PR(6R)A-^Eu0LadD-|0`awz$I zlXa0ruX>eHZhjN@pM$y#P+!AefD{6j!hEMhqD5yh`t8R8)UIf!$0NKK|Ez?_ z(s+m-Yahe4vK;PQFi*wU(L*h9D2==JG@^2CA1ld7c(~lQx~*D&K;?!@FF^8Ev)3Vu z@zteamox5Q$w4YPEg~rBGXg}bKo=3(&P#(G0cg~dKpBBCV)ud4KI*z643&B&sBq2Q zd7;xFa*hUX%d(6mi;2<3T?{hA?V6WhS*_1#1{}0G0XA5w^2}<*!vF zdp~W&ds;85FkvS{;iHAw*fK56^5Nvz&&JBbIpVxAn*;8Y?RN<0h^FFZuuv7yYVZ(_ zr}OTFFTkquRBa^gfy)^LxP(wH?WS3Q-WM?FI5!Kw9CDhm@#FD3sg)Mm_K!fPpsJ=u z3II)`s`)YBqCLzy>}e@hx7H1s2i%7k`ahp|@0{SbKH{6uj5s`H*K;FyGHTf6vg2zo zZ&;Qr@xX|i)|&ShLH0rq`4ec50H#6BV}AYiZM>2ZdAMjmh|d@Z(R$0AseT7s)Q@0x zMXLm*Rt-pKcZbG~jer;`{@Tdi7+YKG zyjE&SaxdCQCM zhQM1py^Tk6U065<>>uE)zba&O1s{0YAp2!2+kASlvxx1l#POa6FiJ&4PKIVv^71~t z#yRrTR%Zh^CfMG6bgyjrIVmmEIM9WY+F?RAhV=-#uvW9tS`I?OEV9(LOnvCCI3&>O z9~(6?n>{xY-Hdy%Byw&_m3?F@oWM9E=8tEAplh za%YgKRBmGt9uX8ROC9#8?Y8CzNeMOT+Fbpe#$(L4DL!?zwD~77kj$Vz(Ao!6B6h4M zuwyO%%Z@eu;1}uAV-?JE?JJqnIL(-=4(@og+T6_fz9#qqT+@E;$<>$aO!)uvpqjw= zMa64*4WJun$dcj2BveqaD7z(v^+xX?YS$JfY(9(X?m^_e0J50&w+-rW6W-Z)x!(uz zqYER2W1B^$|Df#`mpALEF#-ve<^^=4brj ziSV``TRc{O)@sHITJ*HwI1s)J=~ysAbrHS|r_fiyEP1K{12`ahM!ZkEA#KJduN8(q z*$zE&+A58DWl2Mf(nx&8W?7e^Vncw80RdM&f>t_eVgY*dC_mKnuhY|eB9eQ>#7zbu zT!x&0-aB(h(gKWTh@K}?YsAT04h>Y3WiEt~lr zd**x{;Zo7AUuduJq=qSvXl>uy_r}w`jmREFl3{D7dB?|4idxtAo<$VSi>8i{QEp z1JVp=i>6j9p63-};n?z1dPnV;S~N2}|E8IWo2ZIEZ9HIceD*Q~qn}6|+~1ssAH534 zGVkIce4I6$#v2gc^KB6Cp$!4x7|xh(3&sIG1AMX1Cst-0&HG#r3Z91c=0e?d2lKH7 z(etcrO}?MYs!~THx47pUM-pV!w{y+5Eic+AS!%T}Ik@IFIkT!@k`U1O zpf7Odpy%=eD%a2$9R#!?HIrDl(D^=~|M8_YE{bJG(K6L5V^l zDjF6RhU4Vof+RM4Uls|a>_?z`!nT1`2CG@N10(b|zSk($W_wna3K)I`g5HTEht)rF z{5vb8yvFc9`A+oSoRg|H%8mTPHq5gzL)18Ny zuNX6ymzv5;2FpL_oUEp@Z~~|uPOnYLR}VE!ua%*Rr2|h((c96T=4J7wWsHiJ`Fgo% z>#Pef5d|HW&A0bpKj^_hWf36_4@|QI=z0hM4S9>pW&$v~@ zjjx!&;LU2A#q*mGRe^y7W*6h}3Qu2Q$6CM30M7CO5|6_pByr0e2NtUVOb+<;`7_LP z`}M=HX%0zdpc`^G_0A*+YuCg_cbr_EIJpl!*!U*IBsXa*(OU`=$qqQ(L)2wI3lCiO z@9Woy6AOwofBNmaKZCTG8jMsd?;_R#3VRC5Shv!mFX)~R=gG`wd)-jIfgrYX-HVET z{FMZ95+J@`|1+0?94_^U@eOR|0Ns76s(KdT1R}%v;BbJL68X>@KayGKU4<`8>lh!=vt1Y>fUyyaz>u91 zXW%fc_-41ZtoQs-fZDuBsPF}+#EkML>H5_CVl`h*LBmS8-vy9rnQLio9NiACl;F&N z3fe7-L|hg#TF{TfZE0lM>nfB;(dcHt-wyIenlb;^w+i$j5J5x9B6WLZtPL6ocbJ$a zfr6k5pd;`(AXc{s8a%;>{MqwJad@K7TMfL-P~{JdH3Nusn8YXL&l4+43cM?pY`NEm z6G%!TN`4ch#^4)o7a(4%%{kNcv-T5~PL8L4H=I_WD_p=>&l=cr%J@#gksyA_E?Mo6 z71*G1(L6mGXW5vT{J@to;yQZv??GWA2jnz>DEUE)rbPC9XwXzNuFl4Eaoybvrf;Z% zQ_TV^_kxHxoUK+V5M_8)FzS~52s=)INE#W43xl!>l8P#~JxEppe5!Ql;~6yzuHb9F zfGdhM)Bx-wypE+1Zwz8Zt^W4+QeB^O=kDD~qg)#(-5@-fLMZgt=Bl+lnMt1neGaE> zO|{*YP1X>jUlVg=D158k87w#UG?W8Z# zqkFaJ+D;}lg9HiNKhlt2f%>31f+kwjAD=o@5m+1cUaOSLR91|aieNb{c5#slGl+;i zT9{{!9e)hi#GgTm2xYUfZ2T>F6bhOrbh~r39B7WY3m~jN^lp*A-Dx>o91pWcibi*k zafas$X#^d}VE_n#dm&u`rV5;!%2{-eBWdE+ot!ptS#UEiQxvtPEz7weDbL z2;L_u<4>EIO37Z<;T|I^x%{jAjP~+YrEh)Ct3|KakdR6^Y>{LS-ZBXLPH}e)Rl~T@ zp(VJg!F;ZVz;HmSE06(l@aMyK%=->7i2Dw|Rgt9$&i*}chjF{GWn@C12^60j16gsW zt*26WFS>XBvytRo&>s3*M@DmBSou#YUb=Id!^Od@x^}$rclHd4>dxtD?BR-&^__r1 z>eg~Rq0$!<2D>IEE&AaM6+Ua~DOv)z3(5)H!6<|rxNtai3yJ`>j)F~78rYbLl7Xp$ z$fQ;lW#Md$U=rl-@(z_x__lwtl&^Tju6^Al^6n!3vjM zv~XXJPq=vL{`+fHmscL{a0pi9NXyAtJZU`zMlm3?rKz-@0x+8ORNKuU_5U;QhYM1R z#Loc81pOcAoihUhWX;f{XTH}08X-m{i_&t^0QgbQLPLE^fDU-vv+_0$7+9Ep8} zLtI~bIrM)Kf0vIL9CrdtAG}$?;&CscEBvo+fkt(43Srv~evC!F{Q4sdg=weV%YA7qz>lNEShr3F(mGk*a>)4$dWgAs)(Pe}kU zj9JHZGSLv7IjPq-Gg4GllwNr~+AMHlv+uBE2949b{cyKQtQ7<3plG$+kp_O(ff^VR z3QE@w^0q0OH8WVeS*@z-T?bh{zZ0}xyt`akNm8H*ZP_zXv=3JT{%~;xykHVhX4$qn zt;^h(Vts&IDTBo|Jm2ajJbCXbKQS?HF`3dissd&#oy9;)%*n_D4;ehht@&Sz_ptd2 z{Ja5CcoRXticv=*3v8XvaC+|p|75{k2N+sFqJ(*ffuqwWjm%l(G#LlTDKsnxr#m7; z1AH%n`GsQ73J{hN;bHt`K~5*#4UF|w`L{H5l85}9XIDwVACb!+gWtf6nhjJQI<>oz zQnxY3Z9KWsC6D^e-jab)cg>~Z?hBjgF|TCkltI!5IO1R~a6)qOJ0#e^EEv!M0hqnA z2uW%IwulrE-+YBr{8b)ud&8sDtbh_75Na7XIhA1D#Xxc6m@f{?E9~24jWEZd?(|M0 zY~zO?lhIepOlBHS2QCPq2yFy@*c_#)bC zF5Wl?e~l55985eKYPYjVWfD%V>Q1YT(DOFG_3QCn-h+6$R8Y6Y z$H(K>fyewR8eG-m+kP{hnl^~FB1ApTZJiKqv8=VVwFrv=QD$D0=c@#!NhOG@gi6+^ zdVi}0;t@fhH3a($veq3jgYR7(FBa8aKI6DXzgGMO%^g3XE(ey0aUI59^O)XHiOFm* zj=+?g!VZF)lcPvI8sSt$5+wEjL<@Z8;dNo?9&9F6vwHV(dw#nuoXMmPkad>vz2V)gvzt| zTiw-0WB$^8wH7aPO0?ZIu%$>)>U=zLTDkKU9q?I8e+`En#dk3Kv*FgHq^4y^A>20t zVI@VZ4+6Jv9MFQiGx^ZG6DR>=Hm&=nBG~4Y96_gR16Z#GhfARG@IM$(&hw}B5JoH{ zuyUYAXY}1&OQqF{4}~b^BXwGrFcoH$6+eS3s!P5*(dAe=A#;(=9%fj?Db~~$X+A`O zoeJ<36Ob!e^z~`M&>xr&hfv^`_KRWZo(44zjN;ko*AKo2WP1RvAX6&33kWc}zf$>L zHQCOOS>S*=*zigFb)XOoRe}?zv^*BnEwxQuRpKhKts~)a0ZG0MO4W`TKF(P1AAEVt zUTA-LIGeci=v32+j_>|aL;%n&>XUh*QF1Hy8i-+a<0k#Iw z3Vn|bK1jcMJQXX3*v`Pe1toZy2(C}r4@X*p@N_V^D`V$+NayT%WRG#uaZPEX_nFO| zFZLd#9UssA*MX8({zjTL{3uHYDl~A2Aiy1f3?Ky^e9~+ErfnF2wQGCq86x~>U@f3d z4#qT=5CF$lXNTqC21IaEY|jiC2@uebp{hud8UKx+j$Z;9sJfInFe7>2_b zg+~t`p5lp?Lz1Y$uqO`g(kPJah^s^K~q4Av3O_`2=(8a9|4}H?Dwd{6BsL zo7vP9p~TM8o8n6-A}AB2gt0W3f0KdXE!+~*Xg((!`LRg26=U^11aqifAE*Z#{^PIs z5`BxGE2{aQtiy2ogY>|QQVtgNO77~D3kmC2HMZ~W>T;mp=kj=$n6cTpJsF93lZ+$P z?2Bf2hz+|K7@vfK?3GdR^Dv`C){lm=y2t-w98E0o_gGsI(&Oc?5v{g zHBk@rU8V1~XgR0@@STlphV8TOp zv0(q_)f-0|oO!mm`PE)sHmlXw>-kAyD>+>FxfU`Vo{2qscXL);J~EzY$hyW#n*I%W zPk6!|nDE)2qc4>&e!fT3=plpEQiNov2w{wWP(w^o=iR*ALESJlJyTM44>|?Y=cmeP zGfO#{yjmwJ`$RiNkG1fdR(x;Zc3a}^q?snj$5BwGc}yADZjQ@tB)@>u& z*_NfQdZy+ZHOz13dCMfU;#^F9mBkb<{aBZqri@y9B%!$LF{CImWPL@# zQ(n$%7ZXCWy7Nkf_odRQ^lJntl-0=cHu0thndYrP@+#VCozL*w(8FjwPGq~~LI+}a zWMmJbIq3QF26f+?-dX-_X;f40-C_PU1*N2ou@Ug3^)&Uxdk|DvGx(;9WxzQ=De`S- z-y)vN{U2sGUB<{8(*xh9589r4T_V_n-8;_cvBD4kcuthmQ%UgQ;<+PHZ~2Qofimw* zAh6>n$n_V|H76&sjkdhO!V&C%63{@l%#=THv`KNoi{u3Mf z)XewwD?juELt8nwq!!mkzPD4UBotL$oCt}? zSa8O-_Z?Rarn?GFMxF&V!{{LASdA;bV)HeJUPM`1s%+FKDNacTvu6?=TGf?dt6gO; z8okFUdX22})stz$$hp0^-d}`A{H6tufPfPQM-Be8XoA+$ZGK7~hR51XcM+Bb)q*m2g;$1D{k@3aG=n{N&mC^X=BJN*B9L>bx+!>zpEBWG z!?|MQ?V0~F=b4(E^pZ@RfcncVUfw?4Mtq4a#g}Z;-XkkHN6kE3FP)~}5)Sv+eSk&( zgJ*&Zk747oN^90Xr_RY5^)3sy+~I!S;eSqdEAhi>zI{noV*AQPYnuQvp*P8Q4e+$! z+mrLG0j04MpsO%H?o>OB*+dgXH?cNPY*}RefKSlO&n)eC{!x7!>z9yifXz7ds7tJEU&l5t%4H%w=bvF9{ySC-#{=67Eotsxt^RtMC~xrHO=x#g8HK- z1^xYPUcOjcVs;gF?fLzyyxo>r4yxe|jl5wCz1q*uSu=G#_*wbPeyXQ+$#;do>-g;4 z;fr0pm!k!y%dBq-18&VBk32aW;30pM@+@knD@s<%n}7$9^y*oHfWT+>PbNd!jAhqj zt_Q#PKC;UYcto8>(|dV_GK$&WBeo*|rOfq3L6e|K((@km>FSJ@@rAq;FKQzCOvwv& z@HimkXlEJMf1o!X_<_gE%L{!{>gBQ>?fmKsJ?)~{lZg|Da+%n>!T9AQ5e`$)-P@^& z4yr0MGs{m?Hp=Y71W$@D;W>DmTa3f2Jxx+log7zL^4Wcb`As34%-;ZG38X5-QG5u+ zTwpgLWM!A_-zg5N30DUl7T87JxsrXX{bw&OFzL!qVJ-vt9_%;Me@^7k&i^L;UHZk>@3>Ox<`tsKo@1LvmELU#&W_0-a1_hGvr|7yf4?OT$erur7X7M|&98TpB=J?2ybRLSjY~F$4;@3q) z%D+w-u8fvFrr`w9Ib0BmK!JmxZ?Ec}Lt;WB3GZ+P^dC}mFd~6hQ#dX>dS>RAusY(2 z$0BIHWYL}_gJQ@-U7`$(d5p0z*vq__?kB38X`6Soy{NbyBd&FD#{M`vpGs5mMxk?c z_R5zqeR~Y0*fa0To8Y-Z=2}534W`51#F%OYsn&%?xJDq+} zeY-Q|+jp!K2F`30tADgTdHXlc^W90(ei#QvEg(_qL56H7-~o+B*(k2}YPm)O{P*E= z6I_t;i8IV&V&p_|KQ}0NfBju^5Tbs119hHQI*Q_ z#6nd-$9X#oBVPuK5^P0O-NSq0N0uBec)M@{Uj3FtIp`5z^l+6XPh5WuERC}H?RKx{VFa+0{*YApVo%)?-hBeP%%5elme_D=l;N!R8@{$dWN}bhJl8=d3`Re(0 zB+3$rRXqV6FQ<`ytuLJi4np67IgL##PZinLjHe>bACOAsuKjQ~-gp{$vJ>uBaH3JF zS=PX1G!BRMBCmX+#EZw56Id~unm60n{jlTn=606q$5#IkSemH0oIz(LQ70C2>lyUD zHK3NArfP9o)Lh-L%WcCXd9kSSTn+72D{w6(8PO^C$S5Nhvq!$zKaU>y4bmfDj1=aw z_>Jls>M*Z)$#Wr|=z8%% zN%uyIO3#<)^=q3#u}5q{N|E@dONX6MvbUBN2sF2x0wujM;eyB74#Z41@jMENI=8*k z7>SQa2Z?j1NPNhDPInW!!0aiQ%fM{w9R=H5EjAL_-Hk71ne}-29je;vuI{jwnGXBkB`$_eNEM)8-z-0-noyNB^Cx_^xTx-5sJY z)}C;D^|sO~G``&(_>`A{{+}W~d&(W~|8c;12Uu>05q(~Z!5S!Kfk*Mt<$o9;e)1LY z!ayCwYy&epq+hWy8Em|lyVCOOJ|h;#XI2dI(}5txfnRaHt!ulyCGFVgms)+nMZtE; zqWohU+$?j3a;?<~FAmvcT79g=;3@Ac^!U>XyTF);)+TmLGhAtq$hiP z=7iGVByczkVBvCE4y!I@Bbl6U9_qvcq@OqfF+qTc^@OjRdM(Ua5{@weL*=5-4Wj4Y z((UHHmoq!Wjen!te!-zKa70P$v}z+l!&2LHv2Iv3fZG?Gj< zrc6gF+X?JF>zCi`4|@B?w@u>h7r6Q8Qv)C^?wQnC0r$Vmqepr$Rfx-^vt~bCX)O+P zPa$YDOG6Pn1DneT-ycv_buYP)Ip2zkA%paUjK+7El85&gs<+5e#UzY~Ru0##WL_Pw zT1=GQFU%-zC_3hIv(M$`ckHNamuR1oL*B$I`H@@8Pa*qf(JIa}5M*X1LZPrP@85tI zo?NMygESO50Vs`w6bKN}sisz1%Mk9D3krRWErZ*38+nSi!W=WGu&MkxxE|Mt;RY^v zMl$O){z!MA%vs%wJ=?t5aEzR#uj#o=L2)0h_)zsdTXAwUc5)AnkVqRg^Qyj);3q2_ zPd8dWEeerb6)P2Av){;9GMM?OC^U8WU@c&y;H~3$?{oW1RD$r*!RUTz(ZE@Hn)H}K z+^eaOAXXWrT6lSIL#a#;27s9Q+Qk8grF2r7QCe>cgL^l*A(^cLY(t7@bv66@kt=;I&#hF zCe1Z2k9~B}-t{1hboS{c*_=l0NOWX>_S5e^x1n2$n~jRJKbQ@V#|p;VE3z}tztMW; z&$bL0Kx9(k+}6GsZ8)^0hKp?PMYkwlRK){|MnZS)CXOw()e!EVAZY;7sAaAzzh0jh zJeqAl#kXsBK3D*uPIs#Ej?C3^w1=Jc0cEFh1huV!6Lq6i%$?) zDrGQv&!4*=#!Cd5OvS44eAYQK=*fM1R(LY{>(dRlndfj~1nf_zr!78RV1wiJ22^5y z=?4q{0*V)sS-if5tzu~Qi&So4R&yE`Jl7&QoWC4k;!fusMOrDbD35HP{*5rAy{um|3IRLW5t|LKaCEG0zQvv(qH8X8m-y*ankrYh%itZi>43!2JQ7X+_ za)4(ZM{zc4gcLA|$yq zW|)2Gap(SnB_8WGrn5h^Zhs@My2o$-XZ;0Td8TE*Bt*Hc^Bi*v8z&l7FLi8IeU)&#`pM9Sd zowd*th(w{x(YD52B^)6;Gro&1TuSV05}u;RWFD?9#UttL#3$#448%gnxjo@|Ll~N& zP2#bcta&uT33F(WCKc=-*it}LsNoLAv`<^icYgavQk!KciqGZ-FtnMJ8$Gx=jav=i zVB~Q>)Yioupq^u(@v(_(E(?zqZuny`OV*%S+fh z%QaInv9fK1Ow_T?skiHiYE9bXowdFRuDq*GHV>$mm(A;_pa8Hp|0IHFS!Db&akvNh z3#Qj$Q{yWu8ABtno}(+C{)Z)(6TVw7pq4J*#X~{ijoA$Y({X+PJs4^#EfCG;M@n|= z+Ym4WL~ZskG%ox*UzoNG|Jl7IY>kL{lN|(4K2sDBDRLuZ84!ds%r_>gfK;{t8s4e< zkG@%3zP*7vwsi8D`)-=zlhr=F)t3h{!_Rh%k`6~3>$%sfcGiB2D&ujslDPCAu>L;0 zbpIoJIc@)?Vi7_b+SduEcWut12MN_x=1!>WQirQT$*cDG?7g&mNah%2Bc61Ag>Lb2 zah*=_pvP?(CxARr6}fgS)V9D@8lZy2FgAQ|PavC)Pfk`rU_n%Eur&CJc5`jqLRP7; z#8{lUfow{$0@pJ-jyhpC(;`k<`A{dL(w5nM0UKYpvYoC(th0}WN1k4c^$Ap}9HCxs z^Om|Epou@R5FC9`?3r+qd^@scyHk`N$F8vXLsIZDBI0FTGF$NnRheG#J!tTiZADPmHF(+(QQmjKk);a zEOOdlC$TNd#ju={XB3buGIC~p$i`7P=H>B|+>Ww|&7-9t$^QIP$EI0x%}fG+k#5Xo zwZbU5r%Gh)Ed8}uzl^)gS*Ia^bNYei_aOi3=YF-aIGj_%L+IWotnO5-3^4OFv@|z3X^I8m$<45+7E_ zfA`+YtHa92psfVazw~uhZov1W&@FFv{hD?ZYU@2(47JMF-^{U><|>Ee4Y$S4CXIJ9 z&%My{+1}YX(b-}dzUN2OFiY9+6>&- z8UmDisjynn_#3UsXG@p(r`%QwY7LiWoNje}B6FpDP>}SS;xlH6~m_6z?Q z85uR0K^v)$&zs3YFEk{?rloa}GSsn5TW4Jzpw>`=eD=ztGCx*A)OMEGxD{QraLf#L zSk}HZ2uau4KwE~`RblnX#|YST$?>MZ{pu-2ZB>?3-$n~YCq(B{aN4i130BGb3ANJ0 zn#0|sSyh)LCem0N-1ameg&?(ecFvA5Ml<{6(`!onKCBt!YbB&!frfco%Ee8%ZCtzz z09e?j{W(+i!F`KcmlqDT6~h@u`(Bw09DSqX`BaDIw~Y{SckyYxEOvGR4JF?uz^($e z0>Kx<@efmFpkPo%7}F|TYwRjA6Ss*u_40gwD5Ic=#7)ev1^nkSNHEOcuYg17lvBJb zU+{Li7ZrAI{#!|Yc%+_i+Xr2mN`^PdHfVu|3NkW9zxS5RU`ot&;NAzFPceogoA@eM zvL+VfF|UR!3I^`pKu+z1JLjxQ*YJ@U5;!nEfdd5kzgk+HRrq}bnkhJ$L&G|*_!1jv$ysps@%Nn=>}m5_oSdwVtNPmpdjRC%eH_k zF!hzrWPy=$vT1Xbm0>5RVAh?as;X*HE9B~#o9?izpOrzB{(K9IOr1ecpdgvDmq9gl{6;BJNN{Km* zL#(;n#z#i7IzE*X^P5+4NuBHJ-1?bx)Xzh#gZrbaHH3=Z{9D&H5mYre2tK7fD`Aof zlaQ3u&aFABa>|G5hqB^7@Udt`u&?|F!}%pX{=t&`nxLtX@)3=z%3^)|Vz0I1Wn~MIz_3*uWU%s;DJt!! z0Ef{6arcy2gN~EauJYrij~_oiZfs1eN>)sCf+6xS>zF;V%OeGP>kz!&kWWUz0A%P8 zUx(qQP!|M8xm5LAPP19*tSx);#wOgiU{>@>$))=p!0Cm%CMI@m``fW z73Vs+BIZKQJGmxr@)XpcZK8XPqNK#c-#ykZ`X!^jcrVcdzYWJ#>dqVM7jRcJ%O8B& z_NWYu%1n~BMfLU45J77J5SJAZ&klWGpdR-NlO}e&>v&oE+uq~?M7AIcNMn#V4IMq` z$f&_c8G3r<{<%kd`7HVrI>*AkqVkrfu6Hwks)G&cJ4geiVh4yAi=s~>O85z1d(bSb zugCu^EJ}TLOZ@|hzi(BDT)e$^2_|1eq5RJ=_K$l5VeN|kh)@P}1q9Os^yuGs+bo&)dNJ!i>?M{9wvkwAo=lO5psRnq$u!f9~ zBG$)90Crwvl&>-8ff>DYumkq!s zL{KRD?tKj>RLiO7pPKossuG2x)B5Jv7%x+7`NAA+w&g^Rx8KV$4q^ofT`4PC6&|%o zkr5Y&*wU`yIPIogEFiD?^74|zT?I24-_8^zMx?(8`Wp3FTd+3BC@5sLA3>J>3&I~x zf0-+)$1n2{hd`#vc5#Khl&aE_BpyP+ERSOW6b5OrNfLq_tnL-JXzzZfr@7*xX>`qCKq zBu1_ZZ~m#`)M)g{5iZNs7jmu9n{NnE;nSLD6-|25W>bg}X{oI2GeKeq&8M?@XqKQI z1igNt_4=FF1ni_^c`5tCA|mVIG@O;*K97?iCa|XJTbHt=EHzXATi;dhDm(jt|Ce@I z|0g;krR;v{w1xGhkPtaQ{7E)>@`6Z20Z^Yg;+Af?aD@~hF7A8O%8-<_2RJgyh z(gqRuWq0yc1uW`6p|b@6y>_}MY|ZW8jeZY<-O>w4o4O369ylpLwV(mj1j4|8ccLDuF06v8 ze=FV16m3Cw{pqig#QQ#+cgJg2?x~PeA20+6HS%;G6%x+&*RA%&+FA40waR79_Mp9# zZQzJZ#j7By|3)n?86F%AI3fhacxt|aZFx$-$^zbegN0?`^I%JJbKW8~LSdw&AfyFM z2FQ{?WPTgYHzw$flNC$=G`IR-kIhT0nAS%>T%R`B^;Kswyk+gksJk~vt$(maj22Rr zdMWZHzg(u;ElSRIKSqY@x3GCRxy@*SB#zeraO86X^8$jMz`s^Kjtjm=ConM2)`S-L zI*R5I1};qtKsG=^gMxxe*Q<|^aN)JJHRLh$h4GBWRJo8*VlATmwd_g684>l5j*V`8 zKdda795d)W(nN>TmHfNb;Y90piY3DiMym+nB%zP$kEx|g4AD}-=u3?Z{%Hg7C~SJZ zUV^;K8PdHS5KqdZl0-6L4e~eT#2jY|IHG8wvdHe^QdpASE2=#O=z=VK=wx1m-*ejNq@oBAD^N0M-UXw)4RO-|_TxJ?ziZf~HG>mKI{ZOgP z)gAd>=h|u&BFUJS;ZXjMwT^9MPVEV??`Hma>M50Ubf#zc7HHn3+@sFPH8k`wRuh`lLr0WA&SMg- zO@4s(Q?b|Q8>`$?p>z7R=>qP<`L^BoPTq|gC!B-lvj$_@MSsXht}LzB$r*kzdps%^ zU=~a>jv;Xw!;rtv+*GmiWGNj`o0MN^1D6f~{zZqqpZ1@W?*T&CM-68t88|OE?r&h2 zU8_E_M!rOI)+f!#{LcYLxn7fJAp zQ{MAvPj2@^E5x^MBBn`9NeJK09hj$h`0(U*-RHRIP2bjbQDRzaR&nfnOR_9C>PJca zL=?MXrEUmrmGTR&cTWJ<2FE14j`tsr!Y55bUP|;$q%7&Y7|QbnrXT{sJ0b55>R>V~ zpGVHdo0jL#0X1P4EBtgL^`f%6GOdM3n8>v~$xIdV&XUk5^mMsd|{cLPA3B&_sg(7{=8|X60fBq|>#yQ83&NbD4Qxv(`ru*aU`*rq++@ zlW)e2HlQvg+Vh{WqXA4>S9V4aNl6)cb zC9m1Sq!F6osHjhLY*qB@e$@J$tcDM>>EAgvhe0$aOtDR%xs>(M%yFhF#NT;hcr0s~ z#s!Y)*Bo7Re#aZ-(~Z0N~1gf|h9+IXNECx)n7bkmejnTVTgk zH0X(E*4Mj`q#H0de}hpM-H619+kKsUMX-Rz=TLmdEq}JRkihzjy^&hOa}|vu6bYqU zG#9~##%Al#mA!|jn=dv_?y@xdPkrQe7Q4_KXd!j6DOn|>Q1ROfIMN}o9J{E&)^$)z z(xy8J9RQ5|1GO&GDUf}D>Fz4B(+zNeWZ2*XYoWVybVPu-XH_K$z;E)JTlSuhRR0hd z{3`$u0Pg%ovoY3rHo{V$%3pz{LMf5eU%*clfb0MR1EY`N!H}f2 z0cWhT)pMs-R)k!sq+O!fFd`v-%W2yj#52>|B1|{?_k#*+Q5i znu=TQnFwl!~Fi=kBU>m5^>P}`w|)GT#K&WtlUru42;F&k(KK% ziV0OOB*iM0ZJ1Zj8U?^nQcns$-Hb>|I~F?9h@?UNuzmbnFqtjX=eFXpeTT7e|KQ+( z(_=nTU{Zm-)aQLhtTY$#;jwDm<0WlJWNPH6oxB?%e#K|ENO;4wiTTntLFQqSn(Ym- zaKZsveYwZNXghwQZh&G~Tj?I<8zPr2Xk#L1n&dm=azR)DZyp7a3OOC&HRcX7o-B9l z=Mn|hlXtLQRy)|0>0VTs6?!gy^U_QF`8SjA0M#*TH{pSO%j}@{jFii?@Bv)2vdoYw zDCL8Edv4=se{A4L=og^uR|m)1eJK=8s*koW;+=|08NA05AjjXEyxKXmrnq5S;oR?& z!t#Hz&E5q!7>-5BcDahI_fF^>-A8u!u1E>;A-cRnN~F1~PXPZbaLepKgGhh*%?$yb zS|!#XtE*SC$8(6ea->ui;gBucR#8%|j9K&AIjr;c%0uxk_e?_DI}CI_oQi&K26ru~ zu%lPqtp7tV@5b?}zr&K4z?bvJ%)T~Og=S6hqUjnaHCFGxf)+wbTN3OmaIQ^2f>~Nt z24R614>~i;I+*zlc(1j^#rZkO2-0&Tk1#Ko4`UtMjMMX<#NyuN(4*=4`$DFxm_AI6 z?_DHr@S&syM(I&)+FW;G^oR=7mY4_U|N7%5@WL(*=F%Y&v97LgL?YHiV% zTJiZA+ARlInU9~|;XdYUl7I5zYqQn#_aWl;1CI9|UnsM&WgTBM`-^;@U7gmqVdy2E zt`JX>z?g8-e|Whs^oa;7y*~>%&QS|1{3U6Yi259WI2f8$ORRN3l4>?tT?I6~NZYM; z&i?GGED{np1n+>J=o-JBpjQ~>t+aqpK?L9D(YkZ0CAjddq=UI}j)j$1U(1}(OW#OW>M7(ugg1KvJ;UaH$v zq0v=fg2|SG8-02Rdi?OGnRBo%i;0Eh{;KUg(oM%5pmwbj_=E0=K@-k2&6{}g@}g(; zB_H%FPHr=uA1}PD$fO=uTX}YYjrM}V75}|gDiVI3>gQj-{-$IuI>>cm#68PL44_$Q zI7EaDqORPqvI)G50!njl?x}4%?R_aWrRlkhYIRD$#;2c1-Y*w&dHl(PKX7k=`uem6 z6WX+shpV~%wHs7e8PvmkR!2l$o)d?A&U>}*Y-;-@CGNw8ai=GP#wV`^6nYU+QBK2& z0A{4oz#y8|3T!fPV~ETfuC;px2FXBKM_EBYhNi4%KxY-3$GcwsH*ErBn~S-DrQW;F zSHp~FrswO4tDfae{k}#cAXK6;HAv3IgaXbb84u)mQcv*stg$?S$OX5R^eT782c_@Q z-+R*$E>4i-%kO4PLeW}4iO@>{II?qaP!(cT=|>JzfejgeDFhnoKYi~wISeLAqEcqV zusipvL7rJmE!re^8%HSC*z@$Xc)-cE*oI9Cle$!U((08S?Q2iG?9nQd`VOvFkzRL! zB|lRG_80V4z{01U4=7K*4lb9$=N&+22%k9%{LM7T3DkgQZaft_6QFDKy!)9RA5L=G z$GvXRBq5u158@A&%!^dKKoEZeZ#SJwB5O$bmXhiGcHM~Iv6CRa4{#I->ytsxv<6g! z@|U^i>m#P$Rno%nw$JvaR1f)$VT|OLERn-300;)S2P-cfs41PZ0L>uB0s^>kAg2Tp zft9)v#QF&op3p}&{@lYM+XUE@ghZ;U!Ig8#O$)0CduqqJ_n+dXsBS6s?O_0^GYD|g zb@Y-AX;3i*IvPd>zxCwy=fg=tWXQC2c*k5Eh-p`7!vZUUN2Yb2=~A&%p?!DpjU@+C zr{gFc^psLVak45OmIrOq?`HOotirCUVXNq6;aHG)fP|~1wY9!0_hrcID^hQk%T9Jj zVfe&@*&2z$2U{IX6KV_hI_<=VPQ-6%wxIpBc4VF%32kcY$n3K#3n)8we$E3G-O|3b9#`-q5oK(NqR#g>@Bn+gvU`j4BET>mZ!1DilXy7~8V zw9_yge*s6kMIb}Qn-rETvHaJ$XEDmjsYH4%5(#fyBd#q^IF4`IKNO;Ph%GuU3aSRD zjMuh{LbBoqJ4DNSni57Ax9m{q;v9<((w`hWXwuyc4D^~6vCd?nKkBnc2buI6i~1|u z^no09gcmRB!#XeoTH&u+3%DYTw8&v_wz`ufG10UN&FTQ7i(?SF!v9|LUCVd()26k8 z3iJgH=7{gY;?jAjok?PNyN<_BK$8+8U~Oz%%)&nD^lCVkxP^m7>Wi;I{59?$at34jNI&N13v<_A^E{2&O#r%S;vVW|6Z zkr8qh8)3KfrRyzj`1#xI1mdIHmox)3L51s@x7u*|BHf#(s-Dapw1QEM?fpkWt|KE| z-<@H@ltu(DQ*z%r?al;EQxXgA0{tF*XrJ2-oKgE z;e3B69=1<>Xzr>|PGXswoo)rR)WPLDcBxtXf^_;2m;NfT4@P!ieYecid@}q37gZRM zgB8`@{t%{y=H_NlK_`kH zUOVA+UMk+p=FS3pMb&fyrgg|`r~ zA&@d4-$xl*XJpwjSTAOmmRi;IJR6~fN6tKYL1TOV&(vdE+bd*^QXE}cqBIB8G!`z8 zM0hKNB0jdcXYLVu^Ah{W7FD{L>szLL7S!mX@uS`K!V{4QX#W$Oi^Cs~qg;<~sNehK zO`@siNtnR&089_-@RX#V99=kh49qJJ_*N_ek%mSoKR+MAX@*N|=pcvs7?x)|9?+Hk zI-k0wGKNFlJVbbR?`6rI^ajKI(xVLO7*7(C&j*L$Mr1EUdKZ~_rR}8gt zaLPk1M-DX180fdwc<7nnX1S9MNDu~5@@i3V;|VLK9Rk5xkNzb1f+v`(5oR3__`fet z_`>6POqKdCz(t$VdT?;?8{Xf}1Th8JiJFefsv>qPsD7R}_EUuoKM?D>Il2#5xZjR0 zPpZ6#ML%_0pr*?bYo@G1_lbShHxIJ-v}+4a@jPnp{*lDF4yi5Gjk&iP8Eh+RSV5JQ zBI__Dv|!9<-t#r$D=@Kf5JLs8%tb;%oV&S$k>Is};1DDjLOPH@jYnIJB2+d+cGfu8 z)YKHDG?;;(k6;3gGQJZd=)TLovplFSLSkSl6d>f0uyJct=?v>`>{PMnwF6Q533^sJ z6T0-5m~_9W|AhOY&@S%mO_iNyFHYna8+uU~bTRCTTd0$R^r^U^FZ zP;bM+s#o@*$BN=5%y@vP*;RBr0dEuC=~D%@6eQHR!ro;N9t>$Fm%Urx^={*8VM9wp zsV1UCs*o{j3EPC(JrJ zo!)qo!uy68^gdZhqZ<19Q>2Mpl_T+{YQhC24|H$k@m5=V zoDi`O1Q36K7>|2%Y5r9-9m1_RcI$TRM=WS3pZ}t!i)Xvbp4LzfQMf z?;ee3Ubm90A#kE8h&!p->Q!*DKnNPteXV-|8YFm`5$gH+X9AztnU0;%Mf*3+g#(>cM0jHh zG)TPOinL@Y2Db2%0PgxO?ND^2KB5Oc{{d(dP`~Bq zs-C~{s^WwLO;4>3zD{^a456ZymX>ncOo-BYY)C@QbN*m0*mX7|@!UoW11(;<9PwIQ zSipD^+D1zd-(oVKak3&2g>@HDeckd*d=R{*UDJ>$RnNbmr!Lksdx`$%j^I#I`_|%E z84ob5*!s}FRYJxp8Ymt8;j#rJ)9-N;oshjhh?3OZ;^4bjF+h|dY+RULUF`r77^6_` z{HgE`v$C~UT$TBy(uxJwtOjC`)$dqD$Dv3`Hm650MR`p{j+Bk3Qyr#m@Tg7-Ezeq76u0078iN{06l~E@0D&Y3NCiQg@VDyg?P+i;W*-@Ml4gH zl>$K_(nNDhnpnaRRS*;s@&}l#6zA0u;PldI!tx?LRK*c$QL#w?qnka6vP-7wzUSmp zf4m+H)TfcHP0NIK;!Pv%MJ^SO64pk6@lcu&VKT4U5&9dnaQFdv5BoHf#v4ywC3+pc z1y=JNIQs$ZmKWYo1ivB_kE<}+rLbJMZ~;;L2QGGh=a*a2Vu3ca2!c!;h2wAj;rn^| z_r!x_Puz67D@CSlgN%V^-aUwL zb^>KPZ-BOD)*X3im3d}$KHJ`?xCmHs!U5{3C*RP0tUD|=>wO0L2)B@@0$SlN%8eu5 zJQ81JipvL7pLc$&(G_5m5n`%(ZC;Ab!6(hlt8lANOGKuTKG%M6WK5ja1|Au#_jAw< zq3a*-Z+d_rthBr}H)}~&g#kUZdV* zJ|kYj39ExaB3glhXRfs&BpTvmN>&BdC6ol1rqQ(T2eQJ8tUT8-h7KMq9xV7y514i` z(4rBh+mk@Ys59dQ?*O>*$s|=ix z#_cnpOeBsiCq7469`-r(Z8>h4=5eVQ6@xFxZvNyWLZFamzXsl7tC^-_V?gKtM=1#7 z(&XKC)qxn)T6Oms&jR=E2>t{K)@8~8A(XJ5Wr_2_9*6&qOV&|Crt=Y5L_XVzwN?2QIN;;4DR zw1wBG_$;jeHYA{ zi28Gq`7atT{^m58Mi#ocABA?mSnso5-Y@(sJ+PXiESXC=(7B9M`POuWF~4)oLCu;S z$nC+Rig;Jh26FXm*1O|gF?@7HrXFP1El7tiV`IV^djz{$a1@4XiT}e#@38P0@jr<2 zs`T~>6Ycu`O|P}E6A@Fe0De3Dbl11#vbG%y1+6t_Om%kJ?79k;%2VGEqkT8_ zxH0Q-Yn~KW53P6Qc7VF^p-3(rMldSKpCU4Jlg_vnc(J?9c>lui^l)%tyg~qE@U@dQ z^BqGW|EtS`jtX|U)WNPatXeQ5w!{DX94fhEzy|Ym`@|lWcib4p-OQw?qStmX3?>Yq zhw_A9UDf+x9usOXovSkM8D^zezL?mk@adpBQxL}Hw!t`$ek*1?-QP3nk?{9+X7H+E z#TEbb1PvRsHf7p6W0o0~*+~Ls-L=W`!oWO_LbOXOqA+nq)?)F$_}q}2hP#ZzCKNDC z5rn(pxKlegz8-W|a}r-19zG-Sr}7*?S@^ieozlpn9rv|iZ)UY=f3n<9U0bMz3V-8a z&C`&jfo5F;wfIV24Ix^Bljq~sj@QOcI4(T#%Y|Mm=dS$N3o~$c@LCQ$T;+~?1@848 z6?%W^g`U)NX8>r1^&!y=hWi}ETmzWs4`E|cVEN^B33mt#_4jrDnspO{@cAJbaWH{L z)7H;Kl}8u1bJ`qKx_a-VMFsti4o_hLvu&0XigVa51d6BdUZ7&&U@h0|_4O<#53Q~< zziWw+o96Iv8sqpSapXT&!c>Pn1dD_z#@v(pG5 zR=L++Zz7NbgXX}kTQ2-d4G0gmxTH-}U9hE?T3!?#g#m=~yBFM$^yWVcjsbwq^!Kcm zomY#w0dAH_qXHjs-xJVQh0{r#<_~f@T6Mv23u6mVRqCGla30Yhsd)z00YLB}7PRF! zcOx8_iT;=AiNr(CHM>^37T7q9spYk%$ScY~dxxq~WoCoH`JXAXCOY(0IxDkb_H6H+ zAUg6Da59Hrmss>HfM7T75#J~D=TYz8-35&?tTep|;YE;f(+m9t0%*XNsD1*t8!Y0G z2m}bJhBD9vMw?`?pojc}#5>g@x7mKD7|ZUt#PbW`Y}n^&-zq8Td@EnqA+vE5%YDXV zX}|W2@RzkuHQl*pjWrV*8F<&^VH5-U9{7^puMdbn^O_@ZHE^a8i3d>JnKa+v;ZRr( zWKBbW=yeW`P>`I7AN(N(ILf&2;3rdviD68nLtaiAbKIz5Q`$<`BMtxW&kiE3@E>t? z6H6#F$J~3D02=7P$w{=v%P-{WzIr0y_EAC9CmOcV!?-xzRAc4 zo2U>(9yaehhkq)%J7j1P$Ofll0xTJn0M^0;i?}`~z0cyiyB|TxGfrZ`%~XAQZsJsH zm5;OIerWJMz~=1!bV65&0k>LKyC--%!zQmQsa#)E_(X%w?Bdfod6;#uL1$D9J|b{; zDs>}Q;A{MApzYdILnR*_9q|~{`$v2gqo+@{@Pmee3P8~bk8MR-w?9{aAA#sgw9Kd3 z^@D@ztKIh~=SWPV&keq~a5kE6&kfPD9u2>DOt`Ig+?b{K7BPcZPK9@>J)5_i)WUZy zEj#ylVryxZp{APX^DJID6}!!jW@pad83pY=b(pHa+gK47P5{_hw>N=1HGrDIu3I@2 zh7b!KA0i_gTqZqnY9Z>m9!l2Ser8Y#iL{F3T&Dmf0&NN94@P7NoJ$){YK72Vd5*c| zD=Qq15&i1?;|Mlz9IEA%?SAe3frQ(_7`<^5%0J@EA_Z1DoLSsUH6P_;IIr zzNIuReDf-HUMhSTw)fqKZ)-feuUwe(IWefnx}*XJ+k+rst6C1K-&-)efal{XBJ@Ix z7do%PsfCb%1su+qDGLBuy#xY~1_pCxE-uJPya?6?1r3c)Kx$>tX(zUdJ+QK1|B)`j z#iq08viDup%oJvS`V?om$}!F^Vb3woPd#(S6JxjWNpfPoT6QP>Hv2TPL+UZ+xw6Tq z){Ol88t(5RDI4cjLNVQv&!XCf;}cRe5_$B_s6TB%y~gf*b!|;W1aUZ%PJtiQ)m0F} zRl$e(3FwYHprWX6XxQ8?aDLa(*=Yjx3W42VJiP6`Yegkson_q(FUC(0ti?v$wt&BJ z21aGpgBZ3x6{B0vy$@?vk~9S$gZS=ZPe`AT8{k_K2>W20z1>$H;UsA zj>`nM9!7u2vD7Y0c6NuKBH7_SIk>r4?Gm-Y8yll`i%mhS;QwSPq7JpJ>dfvGn2oAb zpDAV zE)N(=0jq$Y!hEFg7V;|HxRKJg2_jvuuCO@93JE6@@s=!OwR;d{wG!zk`eRFH;b8z;OY8`a8wz3X}{QcZ~rG`F$D6CPRTmOf~#%^&= z1Z&U?_ghUT)8bDcinZBfDU6S+&T_1}5-(lR!&r#df%)u1x?`2FP`vqS=V=q;+=}v^ z`GZ{NTiE0;UFr*a2 zR=&&$%87m0w*bQasm;gz_mE!~H8T`Nr2qv!Ix43m(+N{Ys-pW=Azt!CGOKI`?U$DJ zl$x-u)q&u-l`j>1Gt;B7GuaLcC48i&{B<8o^q0?kpQG1c+wNhQ*;kz3|9Q6qPZjxL zekqcMB1N?bnN5hi20-B}aM6IgA9iFv70I$#e6n`ydDn{3-mu20Vojx^80%Lac6<1IM=Ld_+x7S$x% zFjzwPBWK}d3(Z;i!Q4NNCgOCB)JDt6yl56jORgC<3NMSYf6c7~VN{?rn!b}#)-s@B zcfNMccZI6a9|NDd`;xaBI$6k}9GM$|im<|OHB{T3EDh$KRItDzG#`LB=`iP`^%JNYFm>hX+^(-f!q zL6NhWvbN#4br0ri54_Wze&nqCj|;8Xlq4lxuh1Tpbe|cH`fUc2neOgOXXj$v-_U6E z0}NgU8dfBf6?!~y7rb0dm?Jc94> z{(tGJ1WSQv1XD?!j>~u>Y}N@?VvbL4YtSn9^3iEbU1oMr{x~vOTY?Vnc{gJr8;76P zgT+I&xXyM|!zaIE&B)ea^bn!EHOiswC?}Dxn3q9;xcUSiDRTYx3%4z|QC;7`pawYM zlf#!#3;;^xh7A06lkFYlG})Y@R}%>1K*e_5|Ir|f`)0%Wj9Qx6Y>}d>v~c~Mm$P9( zU@jStw0SuTGyB8f23&+EzsZHBJEn_hY!#+1&$a9-2@t} zE(CK$_*xtCrvHg!DXQ_c!4wW~M7j|m!GFoHr7jygu{LORo(@jW*gH#{D_+9+>HE+2 zoJJ%8y5O-JSlu;DKKnjJ?@0$&HIu`_1u*~wV0ao`c?lxwugZzy{1pk%V}CJh3i}N) zJOs3&_hEw=WI;##IhNRZ=(Zw6uDlWx|1*BvQ*-g<=#(?#m+qy*J~jBOpXlG&)`36Q zz)t9>N`P-Z`B}qe#@hKgtM<{;W2a3dyXey4Tg-4?()=-PhbCWv(~n=V6CF+yBhA|Y zBEAurr4aSae^hf>&q~6;NS#6RQTl#|h&1#L6^~uEx(<3$m&L8c2YPlMSuU1`yYq2X z6@STwrr>*U+c1dcw>{3D^5(!tqY0TpXac=?ypu?!06?L~Mjw(v7Rm;-d{u44BzN-# zobCmFNR1eGnN)aVM@RBdnLW>a?ux6_rQyEz>RR^=^k z>EsrkeJmK<+@4yj=CG87*UEP;&t8K1JZurDoF&!o!*){9o#`tZ<>-zHL)~{|3=At04drfu7dGdzE^ z>Xq^nQ3H}MzB-N*ATBsyM647<2{qb=6BkD#L@eZm+*RnUVhFrDS!fdn(p)`8vMuD` z>FBahLR}o` zoCF|NrBg-238Yw^7m$>P)Q2T=J*f)NrXf87KbI3ZxG-4%SLoT;SjLO!-2yk$;i&S+ zp*{`J*0`kiIN1oS!w;P%tb%aL6zSWow?Apb+J0sf3Af8AT^7Dug~ZdmxOWEeG%w55 z*6p2Te2*Pj+Ob^dHgI3FsiCvr{`4Zart6=A0agHChosewjBri(IeL3of>P3GenuhN zMj$%@;d5bd2mKTjSt1gWpNP#Kl8{E|g{%Hs*%Co`*FO!!wStl$PaB2=doM39WZSLC zTB-DEo>hI;rw8q#+IMhQHJlfFcFHH5pvFeQOKL_lhOM40?Tx*<;e0dRbSWHy3A1MB zIXw$(>BS(wa2nX&p~^G%Q8=U0$Jyh<>t?He=2o!9R!+zuqbjC_T#wKSS0~Y*fY8U( zXQybTccV@E-EpQ<#bP}7zU4;dvwjt@bFkom{1DU)^6?TI_GfGvqlNoBkjTI&2w9_1w9~ZRC@Q1Ic#fqF!@q z&T!NS8lgF4KEnq|AI5cN=0M;;ZBLKgMheZPA3nScm)H}LEL@>z@35i1c$gpN*0+yX z^0gnAuPrG;kOFi^S1GRsAg{5J8czPaeG!Vvso0RQo7Fci}t-fn*Ptg#J zb1VJhwq-ahr?5)6o%0M%Spa|Ci&V$)PH=gAt2L^AZt;>Y2;)d;AzngKU?H0gk^?ky z95xt_D#Y-rOq%z3;m?d>TDOOz_SV?M$z4Es4!nEzf0a+%!*G)8%Kz8Za8~Ae?g6Er$dbPwihE1H&7&q7RS8LPS`c` zFZh5;Jqq3)y}2|_Qx$g5z96IY4}cyz#2;IDr@3f6@GB{PT%J?@N{Z(hK|*#P-+zSq zkJQ?fxyG}r+DVq(US9^E96X?utAEDd!PR*M%!Lq~KLnC65FdB|HVlNU>}sC8cCKTU zn(Z>2^h0s{xC-iWs{38Hw;;2jm{wTMN?usDcPF8un%^cqIP`|9q=7ZSL-XgF*OZ=r zkHv25&jSe9Yy!cG9|Tw^!0yp8 zODaPT-co55^n@H*aL}o-y0NmbUZ;OS2!7t-`10U~h9)iI99mk~MXYWKmA-J$GC4-| zpM#O_8DZ)VhDFgbEb?nxi`qqwxP;%_+eXI5QuvEbMCId0!R}Nb!1(x)5oa&8V>Y&9 z4(H$XM}q@;vi&_~S)mgHV$V(;D#RJ_XOLmVAISooz5wo1%^EMUiHV5|IC>{Sga6-& zWge{>t?m=H3ID2svEInU})~lsbezpYz@EMp!TL!VgNa- zNn7KJFsL$~Y4v?`&lGkfAgu2_S*khp6dQj-OH=27H+#2%FY+&*&?3aH?F&1&9bw^D zM6bJsl4*-2`_1y1Bl@>E-k`@HyP9O2KE%g|0*ZWYTxfAfmJ<97R@V!VGzf8UPrl90 zcKy1|uuBtS!hqJwXk1Q}74xA}rU}9^i7Br-4Ih9YD_{KW&c`SPHzOeG~QN!|nca`yr@{%m+*q5hfMRU)l#{qZ!7a1oW z?zI>jfTzA?>+oN&;@jMxl5rzg!Ps}bv^Mdma&(q*ioB$5n{e<}6yRdOUt(Yh^wxt{ zx_&}40$+*hg=alL9E99&fTe zdBrNR&fcW|e02g6O6{`xJpR7)O@J5q4al1}H`B1``fldb%lG5 zoX$2NoO!HLzpo2YD(U@+9e#S;zxtP|9f1+j79sc2Z6P^u|MX}b{S7c)kS#R$FvJ1R z!Oisq6N1YunNZ|r-BT$}$vUXI zBHZYahNB(H=kP!_0lwTu4vyvSY)y^|Clz&)04u+@qF*R&;_I)8k(LdjHa}6QXQ4@ILEj-BEejT)O6#P~cfP2^X_eTN3 z^R3oukt*MeB!T*JS++R)S#i0D#8)+@ahvq15x zq^UOl=lHR>b#EoG=G6pORt_9N^i&uuIZTY7y zdo*2tA|9CaZS_ZmNCjJ5^$&~J@Iu%N^#9l}vJqt|{k=;_bZCDVhpF$V zw4@3;YO5>%c?Xw&agKDDLKq+VdPHm6nG%zY%>-Z9U`pyoQx3orFLq=7*y;O-+cdK{ zuQ~0|xI-GlaqKxW!%{fAc#yg)K)AyJ#o73iUYT6-Tl;2lEWD$-vYNVaa!6&{pgot= zN`3ghTnC;3Ujl5c&*HJX(hJ}QLndYF#r{;mO6XK19}sNYYo8QjVW%^WzK1sl=Toj{@3XssMn zH=o(XO@c;14ZrDC_*A~S;mnlC1v%X>xT97aoPHDa3%-GO#MYs0#2>2}=cd|?RWy%5 zoP1>;WtNb)zIhiR&l#Q=Cj;0eh+sSc9;_eiSQQl$>>J=A?U04Klx;-j>ZVD87lTFF z_;!!cc%ji-S>UT-oqeMNX>fgAK;V6?1dO|p8%&oi`2EXIow%50be+1(UVgYm2BuG$+=VEHC(zsd5mYBOlmePnvCHhpC#WP%>$1i%E>6Y!ymvXfE(SMO-OFGeQ5iahNsZMnSC;r*QSs_NwvR8hL_FP0!L^*>OQ! zn?zvC^YYfHY{)R{+spud#>@_$<2y@kI>iIJ8ukM$ABcg9g$+n$JrD9ZYMfR0$%5;X zd4>TjxT@+PziLCY(wGfTP66)Q?(0eNvdM4R1o!dSui?vJJ<4SptDvg1JeT2L#G!ZS z4q$aeX~El=|sv@`O(< zY!PwMs=h4`$KD5j>Fz{nA5W=f`tIUmDtxZw%b3f4{uRS#+(Ey?Fi9h+@h-(FLuuO? z7yQK3v03LP3(LK3(60yHvYR04Vx$X3PZZB#J> z<%i>or=qyoZZ9w@$JIife0W5%?@49l)>}SqM}0XCpEDnV^@vh_Z^If@xc8$+A{&;)-6ewV*uE%k*y$$xni4sGCswEnk8 zAwS5KFDS+KCP%nLu)^S(P&%q7{D<_h7*r94YdF(utf|WcjoKG1nIw-zmv^&s>u7o< zUvePr_f@2Yi%UpOOL~k_E}d3^s$fOZAp?pT#>8K+3M2v62hT29Owv_=&kr)Bi7*@1 zZ!~@It23(Y?I6|@&@;d2LJDC-?%}5SJ4rXMB1^7qej5N0IGv9 z7bBGH(3>EhPVM}?PSHl1XF;*9JI`RhPcRVUskVq`M(SlYG>boMOE7nvg2#rAX#LlN}e7q(64Lg-%63$ZnO5JwAeX=x^@8 zMilR0+WwYbEbo0Vj)!+73C4X({dhaw@1f_G2_jM^L}IIDM%-7d-K6&k%S+CWmcOi~ z#ppRmOA!1B4cR{pOH33K)N`J{uD{`&YLth3jΠthGUlIH>O4$PTEOl@w+v`stg0 zMD>LoV@nXABhGvr!{@a%)&D*y>IQsJ{h~36(Z*WNLc|OF&#duS35khafV3k`G;(5r zo&y!J+F^N$RVRuS@3BGeabpimFR|0%%}bd% zvW1*tiDLGJ$-|qM#*187N*o}FL9)2{B%&VWK3cOB``C3=JiAA83L+yQ`FdtRANI8q>oF|LUNi;l5UxCIILo{1w@L4~7iotbjc;Q|SZ{7wy|D&WGZi;fE zv9IqFkwIJ%8N_?F$i{+!f-U|NOtq;0`x>T0qoUZ*`lP=Exhe(0;b{2QRGgn9tDZ zE>Xy+tnlM`fDa#*z`Oypj3WE#Q?pfiwwiY@-l7h+yM>CGBK6_x{{Md1fm1PN+vex`|O*K2N76$Q?7#0Hi8uSvsFj};E6KwJ26{p3Fxlw{xWV6 z8nPkV|DPB%G7hZ`*zr8__mFRR^KWH@+LkBt-&EOTtfNu~g-uqs?@V>BrERU|q5AE< zj1BY$>fNQaNp9VnlK<|}6{+*bd*FOFXeC^Y&Y`8dA{ygdG@>?Kg=&v!fUwQijn9!_ z2hqRX(rV7@OU+g)`$zuOaM*rqyFr(Mw|R>)V4yrlLW?rsX~Ca_02$1wht#ERbi- zA$<_*(7M`oWOsP{`{+y+Tw$}JVK*yKI$B$F8F=x|H_5G z&Uv|@iVd^*v+P}iF$G%5-xa^()$H{mTYf^)(g7^iL3dp(8iWwHa^4$kfexBjRvfee zWG**pA`hM~mM4B^g9D(r_t9x#fSrPl@Syw4FOi~a5TbOfBF0bTqprPeOH{fA2F zCp&(Xa7!225cy;V^NtWVULDj-6cU(|G?Sw!AoGy!|98~Ri#+wj>0j>{%4?xAKWydv z62KBY&8kxs77}6vnk+zo@0fKbu~y_3KybuQ8u(+J_o>Z?e?@p|;X`2UBRE_t95(59 ziJ}!W^j8P0Z@t=>;9g?xK0q9AfJzvjm-9jfO*vP~BS&100GO29BWV()GJl*|SOOKv z6!{kNGcdVkY{kOepS?!oq7u zgBZQZo=X&2PyWUD`}vZV+lnOe@#k+N{bK0LiJ@I8N-Rp=Ez6&lGuyZdJNT%nTL$Dc<*VJjB`t{j-~`4AwW{ z5dgd%Ju-QxJr{sMvgGQ=<(#dZ|7*ag5A8xyilr_l-v~|7F5jiMi1=@OxW21P86wwi(;Ok6{pxMrM8KE@uAr{sjx`Fls&}S=BYqN!%@Xq;Iq242L;| z>dwM+6TPh!9;lPouxuO5&R=X5KhPH3WP^D$@G+$7!9oNX`KNbI*G`e00nW;h8Zr&b zYG+^p2ig=2)u!OJQsSHS_&*nHkdnk8=`M5=qxed&)(Kt))(9MQn|lYIuH`T9 ztbP+nUp72L)kr|dKX7PK>bl7HvCp`(O6~U+fDetx?d86Ew{Vku;lJd~lsyxQdEYf4 zJ-}qsV(OqkGg?|KP*Rxp5omlmpWp$v)7XnRADz*vmobN#Yne%Y{k*H;|F3cpoZmju zk4OTB-D~uZVqTP5=(v?FTk_(YJ!RbU+Ni?;S&PjlNT7uv!i)&_ksesA0#Y|beR@>} z-LIv6obE*Olu>6;r;utypfF6TBGvc>q_2-M>#I1>Okz(G`oDU3(Hea(JFxcGzm`Ps zGIF;P82t8K*YI|vq2jG1+PMnmyu9TTSbqj$2&N>+qgoj$YDK+lwuOUXf!4lziw2tkGmf{f@fTP<@Gsh8ugLv8&Ymw6!Pfe-AD#v<29jfP z-_d~(gfHhS;V7NG1n%I%!nW{Opxw(lfg@ZKW&CMn{ z9^ii~D=V#>mEGZr1K5P;5TkPepV2$)>zwY{A4?YAw(EojazPk1%7Glc*`qXcuYDbA zWhT6k&r!dDh(j{oid4jg&q`oSpy|lPWr%pbUj^GuCD_L%rXKD(qCl9H{Zqvl2p?^Wj zVn0$A(`NL4p(AT_G;cdto{UnsG`Pk(DxIyvxY@I7J=L6XmaNf!fj{)mN$$rhWMoel zkD~em`j25vceXdKe8h&rwPGE`yl@c%^aMt4sS~kJHH-lv+J?xQ4<}A!Ny4#cd_kd} zU}?R_^7ee7y00wWi9}#$_`lLTy@7m(CuOt4O|A|{yZ{=~EZ^I5{8M1YHzKdMXHihA zd~(3REZ~iKcLQI{On6^Y_h^oLqPjY|10$D3Mx|TtvybUVrJt$=xZEG;(R1fA*_5iq z30`f=XJl5Se5f%{GKύ}*LK0Rc z?_}Lz3z9O?HAq)me|)L5dMaP-h%J3Jli_c~&!e7uqCY1w$4RelEH6T^^>FOfTP%0< zTnL1Ho?;5ClOMXIJzI0XWT$v&2w}5}fgmhd)5Hq3Rym(U>dg^=DDBShFLvF@U8+T_ zMc$1UwXh4Kp`o9j=4UP+o@mzSBafxx+7g3`h(Qvp|7^_x4I!MIkcbP%^|9FbD+R&>`u)Y@_HU*ScQrR(P(Alqx+=h<#V#GfY zrL;fZtFQNZ=Z<~6)Zn?Cr1b1RPbx@Or8R%zM#h)_tHR&oi-rncRHI9;;{8c0p(tkf zM9jjyzqq9cf|&N3o`HPnF8afR;kY5e@YgO%wfzmK&!{EsBKWOr`7_ZBfA0`)j8xOA zvr7=-ZCwAUbjeloWbfbzsr@WQd;h_BN74%Q`iO#_bLepWqcb_jS5}*CHfD*qO{C+U zxtXw!mov$7kT;wR!5v{0QT^IO6XM@L&g4=~xna(#bnAV_uh5zNm)-V@c$8nTZtDNT z*n7ug9lvkG7Y#~ipduv6ra`imjEj(+ofH`%dyf)D_TH2|v$@R7D0^jRyUgs(bAIS| ze}BK{zVGMt)E~UKe8zj6?{ggIaa`ZODRQbL|H}3bXDcU}%7d5~;%BSgJWf=h!LeEl zXyWD7Dyh1Ydv+Mk^tz^L6P=^%tt{rf<9}BH`O#FuK>NS75kK<4yS}XqjZMEk{G<6g zoko@mPdEAtS^K|(Rqm`-ZV~rIhPZfm;h79R@ZPB)G_vz07;0T@x%qa+qxbft?%1N1 z$7yT6XGyEc#HFrQ>nBpi|G?ltY4=W=8Z8uh#S6bb25q3CmQzrb(Z{E6qW@Qm{JHrm zsS2Z~T_f33d+lH7VYK?&6B(XMh%5Px0))BDM$`*qc1{2qNxrl~!mBFeex)yP^{6y1 zU(?(n3wd-xlSb;b?b1N;?&(nM9`ud@+TM7zxGSOkHPpQuM()&?5$FXX4Z{q^uT2x_ zM?JMl{i2GB2}D^=zuAtw25p4r$8I2o-)eO{p8A>nOHOhQ=(FIXoU_RP>8NzDM(g2Z zLs<8sKKt#-X0ZzQbPr$=4^;W{NZs|Ji3Yba$)A45s~H@oFYjG3uew)Nkpl?x^W9PA zy=G@=uJ!Z>btBE*s7w8V5}P|k{gVO!AurpA;N&JYw#H*^C{s+D*uxD!#a8P)zh79K zQO?rH?ec=(X$jX}6tH@ay6|(6kth+AdGo5Jq7Mbkm+U91@%k4u;U5CsIz>>amu_#( z62#gUa`aGNo>5dQ*0#uGc#ltCm8^Pm7k&bEC%2UNgxaC+NaGPAdV!!Vz=>Dz z5&xLW9d7nm0L=KG**B`$&$4$mMb31j*Fj`odoEdkM0w z$yBhnDA~CNh(?C<^)CUso(tHd@(p`^pf1?qS!T0d`T$5I4}cF>AvPqGZUniFB+1mn zrX(-4ZA)s$t}u^~7f#Q(mD8h=OB-1-==Tqhc@H=`!Ja`{+r&7w9w0v_ZBO3YPbymO z-5yw@Li~ccUSbH%fK063la%>^UfW9bI}M-$M9M+z#KvAq%%5D(hc=3rg!xhLQ~s*= z+8r#5L(9Crb3S4d?{KH5m(cEGEZ(gXugD9M+TW$qTNIBFX}KW#H&6VX<{99|cnP44 zwb|~uhz9IY=PnMSjmym)4(kJS-TtQG%j1_a!~;pp&>jE2_R~ z17wE4gbsSiba(IOPOJmSI@ho_E5P0K(Su7~FGk0=d_M|a2AUP0UXv(M;Y!iM(u%rw zjV~VoH(9p<;*XkIT249`)5x&?mI77@)@ldarC}eN;=aNQ(dVV<*$FS|WT0(3>~8C7 z3?{#IbuW4**&9jh(x3TL$$dD37^qOZJX{$ox9TJ%hrO~#r}TmFbx1!w8)7%Nly=}h z@%aCxXiydKR`$^Y0z|iBldmvpkMgoNfqZG%lk~Wr`=w4G019{q5fBamb+Rwr25+sc z=^Gmd67?~44GmhGTawBH*)J!4_(S8q z{6&jVg%B#u>a-v&lnv9$RiLHqo9_<~4?jo67Y5+lv8kzg0LXsy^t>_htk&FX45%^0 z-Uw304vu`fP95F6$m~{gZ|YH#=p2*nnCcI14Lj%8wRIiqcF_+FzcyWLMa^uGSU6t% zPbVxKJMd7yqi)VvS z9SJ_Z$bbmniTtw_+mo>O*FaoQ!Or=4vE_%dI@D{6fnbU<V?buj3ShUW0KH4JcSe#w3P|vszK_)UO;7$Dp0tB?W z!)oQRQim~h05ba3P6^WDRl1v`)ie_^c_A6}S*{aW-@_c=#`Y8xe^+~pwaW~VQ$pCz z6wHxV7Zt5n{5jwnFtOipbFW(bKI}T6odi@LPR8V4XvgSK%(es*3!Q=TSzExU`O~s2 zB^(NXdm}AHU@O{L=S6Q>+FbJ{3_N-H@?{`xgjPL0P<^30WYaZ~cp)-~2H6nvXZ9G5 z;0{$;!e=agnCTbTom7n=~D$5-5ui4IiDgMyo7go4$ z*)kbR2kLY{_UjWGshpT?$U$!V#})5cnav#nGL}DozQ4Dzw-22^9RI`pMfrfBDlC%x z-bTo+;ELq)ieFOB`54eSC+$uu?O*^y4RlYD(0WG+hz@A3Rbk@x5b0qN+7yn|Y-6n6+LUKrRze50#GLL%)8_06dolAYLNkX%-Ka}MqZhDAluxJo_1suO}3JJPx z0UE7j%bj77*-aPFKIEof*mks{_^vLKXjEhR z=lcOYPY)98Gcz-CgcsIrKkyY?_W>*eN7`gF*u2pN8o>ZJ;Frq$wDlo@k2YuRAa1IM zbY<#9oUFC}UqmVoztrElhSVaSZ{JR%Ka@>F0uFZQL1PL|kb&(Ms%e)hq15L6kMK3o zs}%Ly#^}Vz-YzMMxWF+i#@kMLCqk{zXcQ>u;i&ur#vf<`Bo|umkuA?xKk$ierL7%# zFSF=-qpfs>cF>I>FRE+ov`Km<-Ta4=%bWT`8HB@Zu;jRu*`>kEJnCW~7m+0?cyCIE zNNj;=Ljidf1z0|Sqa#XN&%sXuCfd>5RXC5pyS{a#UHu&C;)AYnXh6#jC`M)kitgDM zL6C?O6s%e{ltuu*X3a%WFT6mN)wK>}Tp*h@3aWVHP@b8DeyXzhu<9EG zt*oDQHvP|m3}V>6>1FcXjnpp355;U=r&?-NF0IrUW;j;{$;{N9HW@9i5_Y)yQRF0y}YA zr~VvJajDOS0V|Pm=;Gw&iRr&))}yO-V&l z7IfU(Kp49(kcJ0SRbz!l{o^7u+04A_&3@7c39ZhZN2lsC%WAVj8g+(n?Kjn#IM-k{?!A zSC>~-F!RMD8?lqYbZ4HC6d#7%;_E3D`LM)j5cZA*I-qLO!J@Bpvh}69+C{U6WO;~+ zzvqJ6JPJanZ6QW}%n2Q8w$7WSdw~aBfINIsy4);5H;srif{(8a+YbC59Q8ZgzEaZD z>#yu{7;ZmE69}|xWYK?1=!rW`tf@{Xc%X+pZNek?x_|n`d#+fX**b*T6knSjs{OLw zKvjkaWQ_l^LWG-PY9dZ^Wd1EcxS(`@h2c~INaSZ;tAKr-&LMxQ-ioh1km}e0YXop^ zFm=;uD#$0{J}8`gAr})aXXl)$1on!oj&K-+lKu^tC&Wy!!-y~`!xg;WT(o>M#k@km z*{CHf7*L+!`S9TbLLcJ*Ixwg*U}@xA{dG^7Z$n&_t(DcY;pyunbDP_p?gb4Z%#9@s zA&yP`e-{3di}#_D_Plo02jiC)E(fl}c{+xH<^^PUGX4i2=|`pw$qus+N=@9VgpUm+ zsf*2|80r5L`P6r2Dtl3rKdGlmK~}mwDMs*~nAo31rqv)&>-Dl~5Q0&l(LtSV4yqu_Y`=P9g;HwY*Ls5ntozwZ+RiNuey8c_JW zhvcf=+)kF2mm?Huu)j*ja)82%YM&_t&{Z5+3(Zj;z_&toFWK z=y*AwR?gKW@NwWyEaM?7BSk2p_KYI*K3QNqTQOuUudHX;1U?;7qd=rk*JkxXFh&zv z{Viv^w1KV2VzvwG*)RdjRrA$0KFQOUfQ+ABhZk+88OU%pf%03HAGIc7!y#^+!`sRh zY9JxHHQBuDYW-&Y1@IpNAmsVc61gTm()wAW9n|@Xx+|kS2KePtr;HFPO|42QWo6}v z`{gUERic66mz_RNw}l%4T4He^3%rbyl-SMqw8DmOBSCxaN8=G=Wk z;@*|uFlNtc5aw$FIOGY0IpxXY#~@L7xYjESWkYW-r5ZI_p7VVVQtoQGfBS%F-#xp)F=(rY^xlAo0oIgAZovE-)O*Gn!bQu zn`#-ftHjr)K+kEnqYU+VmC0LVq4nW8zws|}!+_JCwrO?X=$hqCm6Y9=p+)S z4sF1^zmKdEaXLEs9x0r%?WJ?ObeCBdWYc}i_3eTFc*2`vB%#7&-%LvnQZmS*W@l$d zGIT)Glx4eD?<{9)-Ry*-!f-~lbKTDp->UA}a8gt6aY_tcWzG?j#hDK`8M0V+skcTF zADd8kI~*B~_7GDX**|oaDx{&g8F=!7U)-%?ujd!J)D17;^r~Jo#j#T}?8vrG&n!sj zI@Q*H1yejIs77C?B=R(@SV5%CP1TT@sS)*M?9u60T7hU>w?-=`=g)x`b7gLE2R5$0 z)iCF7iJIg`OaGX2C=_5KL7`C5G;zeZRK8+VzRAsVoSdAu6y6WtJtw@eE;GANc_`~f z_sG1pT#TMBYN9vCxN_g>O@BTbgqOdz@NW)E7wwyN3N$-!>s)oWa1_loW2c_(<-YLT zeKh)f3w6%}?9Oy$^dHt+-z;%ZsJI6FnfF2uAG(sUJbP|+72of&fL2DZRwbhs3x;{z zSnAqaE8h*RBI9Uj?nx48P5t>IX9n2sux7C`g_z*OF&@tQSDX0E6Ba9G^EETGeNYb+ z7!{2JtTNy5tJ%xg7$oEb;!nd1J*<9lMbvut@e7yPj8pvF+$!DO-JV`Lwi&K}2z%$4 zcDB&y4nS#VG0V)CN!ms3kJt!9Y}*^eC_iEPfP{)_cv670)NuXqV8h>FmfZ57_~!m% zJ%@DB3_OQyJpvj;hLgTa@R%>9mTb_D=4$T#9XYO0GEic2LNPW1~U|?+AGg{*@xoksn zsnhl+)+bFEV=h|)H|G@SOL}+p5}xP-;tAD1j;T4CX3j%AHp<2;0@fxQK9`oB%rh`L zW#sP*9~yq!FzRuJ*I%Q=<++W@7#i>TI_VrlBdi=_Q=l7Vrc<=Zc}^H2iC!R~zTQ|` zza1zekP7^<(whU$RbP2yn0qT!edWYzXE(W`GiOq8{xZ{^H+01dNZ$DP*HHmKyN~H= z^e>F@nNTBo@lUD4kp!%Vl=O57Hl;}v?rU4<;nto7^w`bDF@8~wx!w~f)JZR#zrFWw z7dy&smz))F5cd}S$|kUQaWW>jcVT&ikdSa^+1EJ(NElQDEDrZK4G;FVH5RqhdgEeQ znR*MGgvq1NXNu`1G7H>F>y1rp-7Y1wF}dPyVQMnKHdA4Y_1LhgaDMqqc69gSVZCo~ zHE*T=4X?TZ=I4{G_L{r4*5{(w4q-Ijqi`tkU#J-t&A1Yi&6sv-OYuz^?X&E&eNe%S z)a^k))BQ!ni-e3UN$_yHwW+yz!7R3BT?%9WNnUFqP4R_M5LIMwmd=>_+LX>3v2zcu z7LOFhP_1`pC^9l(Hgmz_Z`#?VE1NBk>21}@2M9)UXzi&3==Z7ynB(H5HJq)`A-5TC zs7Bl_wVpnOLJ0|7Xmh<@u-T^BY=7v~-P1cW;TFibS!PdiwMWEoRu7kfPe7cJpA>@>c)ULT=?2(~`G`w6I-R(ePDvyoLu3Fhu#! z$u=LdT+w57QC8QwK;6ilL z-+c-|@$Dw-uevXjlW{*GxV10ZQ2TkNr{ZTQdoP5VmNRWM5J5VsRyf!eweGH!lB#Zu zlA${sdt+14^wi_Z`$<@Xb2iGlWh~z1HqSEyhy7ni!aZ#TgJ+q_^M0s#*ywj9)+hXhQP zJ=E5^c!xuJN|R#J81=k2(w*c*EQciH6A@_o4ahB7kqhM`g;ntlq5r-3({WBApaw|{D3 z)W-*>7YKRRJxD3&&_$XdY1nD%r9+R~@=pSaD0mEAVRJu6%^lcDUHJyRxM1o=ra%bZ z$Vz{!Czm~R7L05_LTutt;+oDq%wTd(j;yV%E$irBZ{-%zO)8FQ9$h^v;^ejqbZzlp}Y zafo4)s>o2=z3Lth334VDmM6|Tow0!2BW~%Eo7qk*Y_)DU&$Z6Q`rVWg+&--l*uSni zDF7T;W)H5ZmfICTM+~NXM7h+!a`QzpA7OKZMThB-^M3eQ0*XJQ>H&pi^qk$+<~qlh z{u_Ua@^<4+`P{n4%1EPMd?Wpn_U7c~c{A$JpNS)TQ(Sk?Ej^g~{rfl7ht)U19&33b zuhRGjQ}XKj*9NecNH0*~R-P_&y3VaDem5bAh0!dfY|e?=aeQ>3_r}-6$dQ+ zfO674-YnMDq!m?B|!w?XeLe&;ZV-#4G-?W(LEymi5|_x9{R<-aJasR%%=Lx@ZrT4xZ(L){23uZ?x$Mm z+v!W4F&KVwPK*30DLbJ%{&y&i;fSHKo1qzk{DOgzQ5S?@1t4HkS664b8%5~d98qdf ze&5K_@V6g6KM%9U*GoJC(=P2Z{+eZ){pFhEb{QPzi5zQJ^3ri(dhEcgteub<*XIBG z9oJEQ)%&8yO@r?Vc(3yMd4}|W;|v2V!*pmUf!hI_G%0EK{;S%5hSl+#eysar_c`Bt zoiI__<=a=j$Cs$sP2zR*E{V(L3^xv6l>e1=7H%@bSs!=8F(ao$_Jbi+&vY;aCx=`^tN0P9m#yxWNeXU> zIy?53=Kmg2j!DY6S1K5<{&d$SM`1;BX*FX6tv6(3%nuh9ask^au(G0Dw_{(&49w>( z2jMMOZH+w!vNTGS03X)@s948Fx?WR1S<5($UdjCITd(M9t<+ zEvT8UoZZ8i9Mv&yUa?t6wLjG@a}&)KZ5a`W*m>4DLp5GO4I zu^zqTAeLRW;t6W>_6{utTFSG-ujabDj9$;WwPSQv7;{0YGSdR>l`OH2mvD)F(}$OM zyy6DD$)iioSR&k0r%r)HxXG%xH1vk#`>i%s5bkKG#7A^z{K`>@aNIexC|)pc-2Bmo@zVgpEK!meroHyFRq9;XSuO_#_pvO#{IFCLkmugxsct4 znSKK~ z6YX!2;C?}>!K$h;@qz{N?J zfaedrOrRLC<5t}LUZap^gU)vZ&R^YVKD{Yas{{h};y<`=28(5N>OZ%GpDa^ZW9z7s z=Tu-3Eij~%Sv(`oFTgDP_0kvnUDTizsq#$kF38&Wv#vMz& zEM3XFg0fE@e+DDvB1-s%SK6*SO%Vf5P63D+MT3KY9JVbF#?J}1>c9T}lX~u}=f0=U z*65)wl| z69GW}VY@ljN_w}z1bXE+9qE$;FLT6+pYTdfClYP$K706TlfHwXS3-&k+qHyN=BH74 z^qkNdxis;Ui+F2Q%v$9cp%qLaH-`k4>3N*jPEi`$k2r2(^E;)1gtT){b$n2-aaU`u zZ&N)WVJ}^#cT(^38eBHfE`4o}q*0!gPK!ZG?S^HpF&|v?{Os$8co;0TniAF|_CPU! zV|R^u#`DsxBD+ISlfeMjl*Qja577a2FJz^qrL(KIDGZC|mWwL|NC`}kHVxPPd<#{@iWgoaj*2@SmhOlS<-x}6j+V{-SdqN3u? z@McA_^ZuOH&U{|$8nBwJ??f#b4`z-W>|a86GzUtzWq3)?uitt9NH}_J%(7#+H9@-p zeNS29&Ktc-aLZ7qDR6n(K7ccpRLx18-uJr4I)J^GRqx=`iGLO* z@{*Rab0(f(SoY2>-@87|Z8EJD^4cMXRw^UkwBIL5N2h_@q9MpQsph=+(84p9p&7lp zO4+?LNg&i#MFNPq3Ru`GSIa=IpEia-W^e%EQbY9s6EIduz*R#HuX{6Y^MEM3D`f7H0U< z+)Xc8)yGEfmbE4eutod-+qUO##GMf1?lKi87_QXfC0cCzICCMw`TGe^Z}J`kiuCR@ zXaiLN@yMP5lgdmtH#g1bPRDPW)_lrYL){*hdw=8YUg~1piO%?6V9;U<)ofiCsC=De zp}EvBgA7spj~7?mwXH79sQtI}lf-{NAhx==x(&b2+V+22(y0@xn;VsMN*;gV8+enG zi^~u=*?Go4-@~^E4o?!OVxy^eMjb{jcZ{W%jXDgH zVEdDgl2JnRko2m8YN?`z#?Vxb<(yKUBmud*_K%8#Ry*egXOatK@mjIgvGsk@0XIvA zjHSZwia>QnURe13eUss9e&+Y@bIu)%tuqa%r-r4N^7Gu&pucvB!cQkM%PJW*eX4OK z2aj;mTk%o^Qh6nRF+UX~EWQAiQXha$ z$TkAvp(}po0;x}-1-Qn>u>=jYq*ybfMs>-^dx zC=rk)T_V~k6VtvjjHZuHKrSB~9Bc+=IQ4aK%?9J1 zu1I17FDHD%*WZ!sn6b!XMjZdsB)B}M6I+=Dduyoom83)i*{+(WI&lanlX;0WH#Y+h zggo%9gs^EadDVTHnW_4fcF>|%s<^e29FU-LIXWeho$t=|2Ew!8Hmfd__r=d0-1081 z9z@oz3(iNC!8C16|fVPE9r4K8KbAL7}SZZ86ea zOXp=fPKpjotd52K6dH%y`019-r?rit;b|3u#54DrGZBM(CGPdZhPd3#HmYVV$5;aj z152}N#t8dG{=4La&6rmqkkr0`-uX`K6bCHi51vo&SwyOBvu7y^2gWZ&Ib}?#J7QSk zbE#}ZQmqF|Zbn-tb6}0-eANrz-sCa`Q{~RF8{G@?E8kuYIe&MsC9>mq)6bEq zS|D-Z!iAkVtwZuQ(+b-qoS}l>shFKx(SZR8r#f5YY@U5|Ta7kMOzf3xChWM{nb_zY z^k}jku^!KH;nE*4^*j(=IlSThCROv*!|>n~@oZJa3B(^lWWeg`>t_=~H9JU^Pa4m! zNn0NozHSe4i=DU2Ol8_%zT9~9QUTqqyQDge_{bHs8i!FNWH*o$4eIt897>w(_>zaG zs09+((<{2Zr95B_TZ`Lp%#%S5AgC)@%;z-BHgk)O`*Iq#3u7r%{1rlmeKdlFjcd{cy80#50- zU;mw=SM%d&U$X9xonjr?b7#q&X<3UkY)*fLC^@PQS58G3;*z&eL`GO<>y-C6X(V1T zEQTS;%Bk@<4Nrad9Cn=#o6eQ^@ijIHND-uu2jzOg`L+uI!-Hk&k^)*R=$-a0^-PB` z*2&39ePByT%gQ3!+J+E$f1^NVefY9HDd~lzk&&Pzd9emiw@lh@aO}WTA}LqB)F21f zK2l@}(s-~f;&UGkAH>Yh9kQUC1n!9WoT`Hgo&U|FP-<)pmm&&+;&Bt_c&^@sr#4|C zm5t$X`Ij!9up^Ss+|FAY79O5f9!QkWx>JPs$#*QrHsWFX_RvNJ6jiIFTCQ)zLXh&mlMa`X3`%Ujvit|uP; zINsFfMTNwEY^BXIlRB*Vk$a0qU**(nJ+#OHhUIjS@NOD4eLdTiiX%A9Y*;wks5ty~ zK`_$HGb_qQy{c6^!els56N3(*Nt~7l9oDlFfoBvFr;Ve%X_P*cbSiyGSwkoK*0p;N zwfHK~fZ*+h0$DyJHD0}Zd2%l*F?PPAdNLLra4;P}GGzMw4340O{)PinxoKwCguir& z5@zL04~sy--Yd9KLkZYkpDGz zg8ao)T)NE0k8j z$*`Z>FnHblv^jFe<;4vhl6!ojCS}W_u~Dmmna2CGb(RK3cY|!F#D^Ta^>f`M=FBvL z;aE!5jpW#av{i3n%D>dh=~E#pH7=IL%ipN>o>vrhIejfZ{GI(u&<@Qmu=*l4ChvuH z=Ax>4Rt=#PkF$Efl!l<@s5Z^T778Lsc6IuNeFgISsu3k}o@e6wW?&JyTo(gJ;m@+o z#Ij9)nWntF&Ld9O_TPgk)tsmLi=DsTXWv(iWgB8Z13|V%Y_z#pH_cE(b#6HJF6TsFM{_Y(vV1tWnfy*yaBSI^} zTbF;)LBX)lIe}2dq5opbWtL}gg8Nt*N3)iFJU+~LiP=K>I)mloj002ih%a9sO&o-1 zi!(3!-LGKzAcp4J)8Mfx>r+H_zjPy+)NROn zX){ePnjz=mRd*WUH`B}E-hBu}h@6>Rm30uvuo{1Xt534L`zgS zeBO}hPd~AaM?yh5Ko6?f#Ue80@-%3S;cRMzS(PH%21nmJDQHN^(@@Vt={cYntVp^YW8W#_rrZVz5=QLDiOn+ z-6rKMik+>36*4V4p7nP6eH{9|s`@kd`aNoLMkD7gz*SLysBw9oXkT$3HZ31Eeqh2k zn8HaMYB-nnMlOuwph0i8D^faSa^P)8cB!TzXQ}=5vcqmoRvX**=Y*RCtTUV}R1AcC zP12@xu}ekbS#pqdFPh}L<0e22mp*@EW{gO_tEV?VB6DASy?`*ys+)m@=?S*-ff{Wq zf8iv*u)7uIU~0d+YMsa_U8VJPwKNWEEDt9q1?I&b!w@HMBt_!T#B*r%e|vn^%TKrL zCS|Dhk+DYgKNRv{oFyl=-qQSar=4eM_#9_97xQx0hMr8eVG4n`(4m2H=A!0&P;$J= zue%!DFDDi)t_ZX`Jd3#f^XM!>SunYE;GYiAmVHakZ4tyWt72FnLgo#7 zq2`9i`t07W0sm3VHlZ}jILoxHmoEIe*KxFaRfcFT6DB@cP{#Ul1T zl1S*xBBuAeh>(Xqo6JF0#%Pam(HFIs{+xqpOE1MeuVUfY`DFTa)j~taPor6X*uFCgk-b?Mi^gh=~Z7khctYgpR z!=KVc9TcL@x^O7xNzL4>PD6-w_=4oGQQtqP3~FQYbvoDACiK=@dYor0dkr&t#00Ho z#5DrVGTEqiH3+@0&Gs(;&s4sL-jgmBodK;_C}bso4Sy&m?*G{jRjEcnXHhEJ&xwZOG}*-#m_y{?ONh`8all z^oh>=GmcK(v5E58oJT$vs{E0Vn7G}N7e8We#RGJs1eJ=^174Vk;1n(^Vw(>kvtSVu z7zAip~c^h*QL#0OL5fOw^(YIBtr3DIl$A7 zfmjX~)b%*p1PAbat=UzWWpwh`cqXq5nGaosSS{YPV)`ETgJD8_O$TGIgz`T6Y+@u5 z{8n8@+_vAjhjC7YDe8Fq-aNZoC--mZy@S0qBUWY?3Gq4hn;N;fE62hq#wc4VWH~>* z@CbYAeP2vO4IJTj6)7`%8)-eT)_}R7@gLO!|dJhBhJvCv^Xa&)$C4IwwEK2_B(qf z#dQCzZiMu;3x-xIuIo!4iJUUxx#GR-0n&T_T!tB8_?rh1q*$9cBq_!&Dm^Y1As)Fc ztLKvwuA%fi(@|7)-Ee7@(N|ngnyUcGwxb+5b_-&|)0bQPTPiz`&D$D*Y8#&G|8TZceOYY}4f%ItBm;t+*ReZ` zS81iP7^(`h{XIMR%Qlv4!5R$ zz)T^LWl9D5j_jzX@28-;7ydWPbF508R%hu05(e(cbj*9n|6<|%yWvc?zy1i@rpdT| z7I9iXG8`959?AXh1&jCg*qnaM>GBd|j}XT#??UD7f-)!dNBK#y)@5TlH`WF!?Q6EB zj&rIU>0K3XpBLr7&gF{ol?Y9`dTSoF_^mcj+Y)i<}l64~B5{$B2I&B}9atUXQCG z@t7TG`8|9IkH36igd@vYJp0#%fFNY>MYfOq#_O-ow`qHZrTo=g5bWwN-IvNSEMFVj zOh~fBt{Le!eU)Qq7DwzvoHG8*Z4t;4`bd6Mk{M4G>3Dml-P6lw-Ya)Uy1TbyRX%Y? z6}u&wICmMXed6ye#3ywT5Qbx%h0F_?Xsumo!NV=r0efV_33EspDdJ?b zff?#(j@7x}=0nlgx-`@}OoaU6)huTE&x-@qxTyzz`4a~EhnMBlbD=&>^5)+0E`RtD z#`~O?kHUAtORr>mg>xL21RZJ~6H+h?4MdVBj$Q32Bu=0?Gi*v_9re!$$$>jKyZ5$c zy&)V+e(}O0;jCEslKmU;$49aKYCYl7;f;N$W33$0J8ruJ4hVy_)UU-J2Rhe3iiByP zOb?1j?G`SF&Ni>}=Fh)3fqBT9ECvX_c>#2ZM_5ivk5gYF~ zHXa>M`1uL^8T_*~UuZeU_r^K*%W~3E4ci{d1iGu%kY1+b{&ov0FLz7V7IBwW(+_S& zZ}1E%Xw1NVR=9tbG5^5bQI;WkzrH+*Wh{DUYntt3nK4VUt)@gGU>RX{s-8$X) zI;6wtrpEo_3K{C$^^+FY&uB7bSK*?nJp_o`x!i3XeLS zH@8-kCew#|c8I+YYCYfPI-FuI*(wukP$+?>m*lEo6Cv!vSwsHt*JB~Py>8QIcFXo1 zF@$pS;`&o+9c?(d(uhCr5+@A5Z6CZ@ephm5N&}$(7OQ6&M^7Hx3dGxYjk$YHf3h{P z)id#%IM!V`QTEbtYNiS$2DPwRL4rizgVx8(Mxc#{>R>YgrdWOK3Ep1K&ueRJ2iW`W6R?xjRAuKIp*nl|0-#ZmF;wukq)8G;unn=FYVIf+8zj;tg6i91m?7Sq6_S+_^_^+G%=h zfX#M|?zp2T{@?fTdlDSV_wxHR`i-0&6|ITIcRGFr%US$8Td&mK_{D~LQ=-mBN=C-S z$*CCdGOsTvGSbjYktQKk)($JGKVYE$v6-S}yx};x?efsah3cg`TWCjTXMydiE|j#< za!yVaAfBGWZ9WyIrp|Et9C%K_6*f|cTepSb7&~{oxKJv`humRsXefPTGsGIzA-#jf zMHeq#B$+W$JU*qMppgkW+%8nSulLPe*IKuct*XfqZB>3eO1B^0o}#Ib!wZMrwgQVc zo67|Wp&=m=Pi65Lotq%E$2QR)RY*|p&f@TYEFLn3>PKQiLcVRQZeAnSBI2py$E`h1 ztT(lNtd?1}MT_t83P$-J=j| zZ)vv`TWETX4(R+CK-IjQ-R^e(N`(TSF!+6W&J2#zIL8LXHReha_ZVLTg5!LTdNt901r<^K_-sbEY)jmJS_+@Y^ixtJ{r|r!If9=uqtF zw)(FO8S3?WwnhG@3JM8(dk*MXt8Xohjj~o&R_Uf}Xsc2U5fPEh`rzIAh@xablTDu@ zw&LVXn5LJs4DNV4jpmk2G+jg^;W57S$u+7U&CS8^0LI2yK+Ik`INaMG6B^pPxC>xq z6Vf%u2BYl6!38U8@;`5bYPvhdQsvgk7_l#rY-&pU@nS?#-iX_zf!9JWNblT2gS-+G zE9;vx6Za#f?nh?U^sInftU&6$2@bmiSj!6s&pas^o7EW!DUFY+FQ_&~Tsvwrp6KX8 zyWMy8KqUUt5N@svZ;`&>5ZGYJd6g0>agy1;LMjfDNjRTiwxt+HA0MwF7q$y+yM8|> zXY-lM*vqK7?d@Uhd3t%Nz0oTgP*WXmKU3p3yi>Am=wn{D30Eyflq3F4FpPVFWaT?D8Gkc3YPK z-?=GJd7#2LS$cd*qxgk{mV}2i$QEYSn>#x?`hV>Vla>x;ogyGxdmZbS>*TL68?CLS zy!VjY`D@8Kj6Mp9lY}2@YQ|)hZ}d|wnE$E5(XhiNIx5Ht_OBJLZBpCCYW*e9@6h;n z2dC>W%#qDKnM!NG)S($`2(6{$oCXTM8!+V9bz7;Tuj;Bhj;STGqA2pY$lcW3N8o>TnLd?h49eP#B&ql1Kd|Rl{QdiH|+uL)>GCn>6n`knx&2q)ckRCyL zmFmQ69voAA=7tCs%>|VU1>-P{S|NZmvLNdkz%_vb3n9(A@}i>dHyP>a#Y##_-fWnc z4mGv5hQg2K_?j{6txf}(<-DWn z!wcj@w)CDye+Q?q2lu%eUYaOD0f)T-B?M4{!lwjJZM^NkM9*+ZzwLh6Znxrw2vSl- zJtxQI`6cTdXT580a6%p_|DjHv(S1vOl1ELqnL{=QoLwH4+m^`B0U&$I@jL?q!&3(b zhe$DaUt1BFo-?UCOFYv=Bc z`#`*r+H%dGrAm#L9#S=EzIaRIvE(J)OCjlZ6 z%emHq$ZzrQz`Gd^zQj&V%Dv1l8*ler#2hRb`nPv9n@Egj%^Z>=HZ+bJMy%p(U}9+@ zTAnKSqMT}FsNb05{^fx))5ujGMI2|vpZh=v37PkF3`P|scy&X^UtN*YNVJYNpS!(e zwD1HU8KUb|@9q%aL0^04RX3*bj`ddKyaaNMI4uA%BHy@N2lNs0&2{`Xz?%KF;ajoc zd!w11ntCUm9QnDB{p*L+C;um08u_`4$sNETAFn2}r_HMP$Pf2jAp>;wzgEoA$E4f- zw;P>rLtYbwk9*Pr`HFf6tq#c7|Mo2Z_m7;{w!)dQ|8Ka9TMEcxLcJztJ#Nwg;M@Qo zbX+&HA>I(`FRK^iRr^HZOe}le#Y9DA0Imd3vEfgzBEJp$`o9wYGh+hy{{=okeuc7l z$F_L%%}E?wK>EYKhb}INV~G+v56&p^&H0n~Gssue|JO$l|7YsXIpF{WD8HD|As=t6 zbm0CG>h%r>$MJl6W@hkBI;fqfpFw^V_O-B32}%*Vp)}~+E8i_jQTu5nB`UmD^KH-| z4I(tE$mGbvk}fnJN&`QJ&9^gfp)_v+q~I*DiJ`NA^zR0~6Z^IBM-OEx5BB3L4Q9Po z*EYh+`(h0n)zu~A-?DD!X<2V#7p>GKkN>+?6_6CKo*c8O&~X4nFVAFleXZ1g zNL>p~6bG1Gq7h#&ueo+&2bsbpqyMM9>kNzP>ehoOf)MOVRFs6GVrcRqis6cyNK*(% zbEq~H!2x9)3@{XxU^GHN926LubfgY_q=^xv7X!jDAW{b%h6o6P;P)Q;}9lSrM4iu&Z_o8E1+=}BdKjnUR5a=w^R|6BgLO&y^J z=B{|eWES+3-@PWkCXe!QH#-|c|NX`?K_1A_=XnruV|aYWTFe!OMsYfxh9S17QqCEstuj7!x8Q z(g+@Gv%dL&=!n#>f6J6>RNP{hdux`+IpKBH4Y3O2GMzqlG^j90wYi<0GMh`ee5InI zkE%6DV_VN_hvTB)pqcU#E2x*M{lXUcb9-816Q8#0tFI1z)DvFNH#WA!PFtlBzipQ< zUk0-wms)@?K7RbIxtZAxdHLTGYW@7>RaA@<6BE-?QqE72O-xq%_MiO0A#|^V9ts1T zd0k`u&iX1!N*ZxrlPVl6K1XAVEWFUwd)+G^yB*vq?7;&k+Lr_@OSxgV-4qXY#%hqh zv-N9$FY+MB4R=nHw8NQ9Zqlx~+_QBf+<=4E)ka3#!F7p3{&$oV4&MU1_2kebM}PhL z^|iINrUaAa+bCNGR_h%-`eI>z&ddHEt8OfzD+ygUx3@9W^>7VOK=rJCyvC}p(p5g$ zDk>|tM`$aq-x!}d$*1EzU(>m^UfZ!9YGIph9|Y- z1)nx&y=N7*{xQSvhf~k;&8)0aVA^LfvI&zN`S`d^1|mA6PgXMUy0aKjg1g!c#8jz& zykxToCKd;9M>iJAb@FK#eEz2L;myuH(RhgHjS@>!%gPvjl}~?AK^VfDB)tJJ;~ zpHOZit(1_X6Lavrue~A0U~u&48T}nMwy+j#alcSZqlt-0u(OB=BJa`RIpL&-6vKbR z#n+0`v`ZPJye!QQ(@U3fV77F(MvcJA+8F1Z@E`Gw$}ag#fn!C8VU|$bEyy?fn2ko( zrS$R_^t*h$p8c7+pF-as+gdI6wbY}J#kkO*ARn`De&R%Dnl+olcRVj9k`ZlZSQhI; zjh&vq6CNGCb>?e-8Bhow?3&C?@GgHD9961);D9~gJ)?ld;ZwIijU8&rr^@xN`KiKT zxGA4VmryhJ^yzo&H*PHa_T9w9gO@9=TNr1_BUkM1?xt0zCnqNE)YL3&y0GlpGFDL) z6@^sHg+E$*?oWh;ts^FNco?5|X$+|w1hZXJUZj@t!CmPCqYT;AX+*2HyA=y#67jyP|(kJrr z^7eRG`B&BhsvTMRA6pLJBt6D_q@|_JrfhO}^={hr+f6pA_x}{V19>ictP97o73Afo z=xPG5zm_NX0;@4JoAa zcbvsUB{Jn@RB==^q*JPslM|EXdy4KJ>-FDH)I?7Z{m?d^%k(^|3de769ufK1nZ)%y zgJ58wz)p4b<7mTnaeDss>rrHoPRFvaQc81<|ZQx*dShfEN2` zfIa!=+iu=ar7FR?t#f{-vND59373Ouo&zHtSvzHA4~Jp{^+T9&&m6LG+=}@5FU!BY zedSW|KaFt~@3e_{3(~Q1k$C>!Xvn`0SUNX4LHYd_`r&LK`-`4s!y<~xbYl@&{Os_x zW>ZWpTYzCY_dN-iw=t=PE8at%i2htq5_W*GJ5-yY))!(BH1^iXI$7VzsG3n8xZ;V0G)Kk6Y#S#r zaYNXr*e26&>qa~zA)l$^;Ct{l9aKe+>Z zRrZ&I#GSBXMOwtozOJOf@l9{MR?7FL>11(?(#mRNTJ84j+koYVNcbTCcofqe9g`qH z2zO=p$PhkLHy9tV4blL%o{`3n1Edgby69P~@t$5ZK#BtIR3 zTD}U*d=@jOa8g{OOu4I6th2I}1($MwYKe+_=9QBxll~a?A3)$%h>BD@{ZntX*l$^2 zyZ#m5fU!>gU}>0g4}77|ZRy9y5R=XhT|th&yWm^IW;k9(!PK#VA&zk<{EDn#!s>M4 zM$qT=AU`QJd8zl=7#J9Y-%TVC@+f7P#s&nZqF-Ubhp2^-=Q*t0Tr!;!13a?$R1S}V zBO1;Mrjy_|=+DyfB!KXk*4>kFIHIa&J>eM~eue@Ycad%^5?n5Z;qOI6biJF%_Wk73 za9`~(4ng>msOgX(H5*HS8zV4Q>FMh`O_zd@JXBfuaf-=`kB|TT4IJ|b2%8$d!z($B za#RhuFY!}pS|z1$bEt&=#Zl1&@FFSrNQT`m6%|b|tdPh^4zJ9XZs8luciUU?@$H_- z23%Whi==M)M0j}kX50&=v2ABC80|wda6G<`Kw2^|1VOkjNA641?@9Y8kaWhsf>qqY zLPJ9tsvBx_b>qr*(b!y^$rO1Dqe}`q#xC(hhmg8+JbsSWYqz};fmJPiUZE0fZcpC= zliuF5mE& zj%j%Cs=xu}HyNeVP)DGfa>l&0`KHQ0vK@v82Z>PCraw%qQ!_KUOr^AMJJ!t7(IW7hE*FNzVQM&T1iVv z*Fb>)w5M|Uv_fi=;HE%bh$JG3T>+%#prC7^u2BMb`+l2K8QIy{mZ$TA2R3(f|DNDd z_Q!Z3mlkQSxum4OrU|ij_Kb`B*|UjYaZyI+*rz{2(;z>45qZf4A{NLNmVHWm{2{5S~R#0HN*O%bFYt3!8*k#u$t@hQ)dx5Lk-=MUrt-axQv{Lvb2TVGoZ>cL3q)i^jww77C)5zk3OVQ!?-{2BUOX+Ox`| z2k(2~&sU1LE!yfx7p%$SOrzu|qhyHTJDzh&=kYZ0m=X~w0`s+BQMLBJz4ex=CEVpX z=4yE9Tz{w+R)R4h1B05_pRQEjy&JS@{}(|ZNtkw5u^8QgtB|+fUx=c|1~EgRMacJP z`gCv8^$DKmDa2ssDlnX(G1~Fy#6u(|fQ9tDJTt6|ym;XX(jg*tcJ*1aW=8_E?maG@ z26&JUS$hRXi;T%ukv-l|Et@ElI8$a}UC7Bm)pB`oTgwfn&rIC}JALb}zR?jI$f2K} zXR%lus**s=*Bar?BmL)5?^0pHudy4LSao6|LL}jvoozM3q*X50oE~WOw%X`sap`%$ z8Of&ADQDZgz3pQ%86PeLXEEM06epxL)zw*5^Muc3sN37w^;~eu4f+pfnIOJ8@WUc2 zIU#}i#<|7hB6oi4wp1*$wx&~3pKLd*B&oVJUy~$Nm_VaHD|I9?kV`?DNM;K@I2ySM zw0o;!a%vGhLrd()^_mZ&T<6M=vh0MWhbI*HOtZDS3ZYI{O(QXo%YU$UOiwp>t$@;W zLr0pOlA;I8W_a$LA*XxI=8yBnre9)>)z2uW)>+KSp7UBxl8_)ok&@?qZq%ag6F_Sn z_USojvnc>rn2c$3$^z*G;DffE^5(W04~V72x|y7mM038DkEbwV_u>zO(W3pn(1aqN z3m`OF2Q)7}xh?W77;{hW@MkVdP;hpbhnY1X=q=5wuIP`Tb?esU?OO=(pFfYdVeF$I zM4|^m^U%=**}5Wi71q_VtuE0-n`K!b+iv065UlRcSzBkTf%iY`uZ}&M>e@z(>h7k?ea1G&L>Z!Q!41dP$P4fzEXcyaP-oK!rqp- z>7kbp%dxu{>70|;tZrRnBO#O`7YU3je%R$bh17^(LYts_VmT%a+L;Er3+-hZtzWlp z1PkIq;Rce9+h@fU?=mYJc~nJhZCmMimQ#+E8C+p|UF3(N#TQa(xw)o4|NJwk5U?Wx zAH!k~A2T*~Z9BFf90|z8SH9G~8FB%^V#U~H?)p8M?eN}=Cy4;aLPwY!3ly`n zasuPK&^LjzrFvSMR&0||W>@xLIJmo!Qb_PI1V|;#b3xzQ`AT51E!_b6;773nR>2xw zUlf#Wc%7D}xKbd@=U5biY%s7;%#O}%?06w6xBpYy0>&RM-8VsE*g5Zo?b6r#Pe(x5^XEDMgKR<$? zG%qXUa8HV6J$m#49}=D|#x}!Mx1_HBOC2M4?q_QKpW5Qz$vXdkh>Ym}n3sxAD`z~) We>`&ILmV+b`rjLUmwCwH+CKr4kHD`0 literal 88281 zcmd?RS6Gu>yEO_Tpmafyj);N+Ql&Q$1*EF<-V~(w-c(9ZL`0-lUr;)s_ka+JbfotV zp@tGdfKc{~zTaBwU;oiQ*hf3p<%NM{KJ%G#-ffI=KkuJuD3OyelHlRtkv~;_`~nY; zU=8>03K95?de-nV_#x@>MBhWp+1kU~!tE8Fx`l^}gR_T&t>sOxS8ndM&Q8L7f&zTv zyf zn(;N(MxS@=jg|0U3c)r$tTN<&J?X|nI$1fTUeQ)jN7#gPY`T+VJz?$R{K|g-7FU&D zk?<J7-?0#w)j zzO;@LP2NQOecjEB{QDmtLPC#!|IVNJhVRy&*COHdfhUjuyc*tIs{8jlH=aGb@%N*9 zmq^zBe)5*-Lwu9JpKK-l??LhZe?F*OIVlxNJWa!EYg}GmpPnwVZOiTNDj9yXpubK_ z`@7smGa#TLYsU~D#xhlEMI3l?AXrcKcX@{#X6oW*Vg4y5M44}9i^Iag@QW|l;c&Qm zvErXmvRAIt(GBKkvU&6E6OpWK>!V8!cXwU>U3A-o2HQHQH(ABMyJd^`|9UqwCJ2?M z<~=0y^7C8PJ(5j6C`az^?KSuJQ?juI&fdcv6(uEnlTRx0^7!CxzQ)IMr>fSkEG;Q0 zD_>bySO7PbXz~en%qm`xthqfVgPUWJGs_4B4K?*6L|@uf5|WmV4&ul*OE2GB_ge(W zQZ=|%R#vXxxKVD^LDALKwKiIm5=4Ppo9xc(11k~WtFajwnqZLkA3r{*XTGKt79KvB zr^U68LQPcK-@wPm_t+Z$y;b(-D{;TGpV|t+1xh9yLc_xDrA9K}783eWQX=3W$`o$# zpP31ftPQ@@(a{;-_Uf&q%~N>%__9}hT7EuvxhihkVssVpO_F;ST=3=*ISkadAo=ID zx#tppcGQ-a&_lw~@Um*Q=$SF@Hh;yu_FmMatH|x&WMVNjtGPjaIepvJ$vZm zFFIO8A&aYpR z+3clTK>Oz4;DBgqWp#B_>ary39F?=W$Gsb#wI6OV#rz%;P1p{p7EqI%=A=}cr$ z&FtRBlVwJ`>fnnYZ|C|yo8v=C=wTa&yUqPRM!hR?J=*SY7ee&CokH76_)GyJp+7|o z+J_o}A(q;s>`T&mtvMtmCxxGUzym;{fTs03p-OwOS$8WkNOI#d7AR!^K zys{GW<;x>WOUpF$DlpcRl+AOztP}s@O@CUPF>&Y_KkxZc6nT6bW91dM<-xYYIvJvx zrReUIfm)*)Xl^Be#rh4jS&_jr3;)TVF#CR}vU-1RaLpyC#J9WZnH|*OFxhZ1_UDFq zU`_4X2z(mRpJBE+-5$kcA9iR^ZY}6EEzYT#-UC+Q>C>m|?CfvX*47OB%M6QNzI<5& znbr%YdUm$((DRpU4Q}1R{vRB8V1&UvzkmOp9atDkAEj)<*RRX6dVx(F+e`V;EDp`@ z2(z=Zhb6sV!$yL+?%lfw-hBqk5fC6J!a-wDUc1U`kMPC&X0ud0Vd14KbxW)1B@-#5Lym3H*Ct3tBrmViOaU z?d?EY6nPd^4&F^3b z>?w+?i{0lZyPUuwahR-F&qW~Y*>HJ-ZNHnB4QgPYSdfe$>n)!M@E3HXLrSvBYSrU( zg}a)Q#3qkF=^Gm}>lRe%_WM{{TSq-}s5AtN=!$XDOOXo>N-L<=qZE`IF0p_!8k4i; z3TDiJGg>bhU@}$b30zNm1_bO1(gGFrJJH<4EU>e)6KQdV3n^|dKk$6;4Op>)kR$Mj zh{7#)kGeYU7T+8Ac_aH4=WOJw@j^M<1O~BBdiEs4lDvf1zPj zp{`5qG4b(=8XBMKiG455&nhRQ*yPevQ&SmbR++?{3d=Dy->6a(62{DB;Nj%<+B2TL zJH-^kvn8)htg6dsa3}TT{zM&pJv?aK#kBY5Ph<&dW%SO+PpnG|8-~PaFbRELx_1Pp z$!8H0viDQV#G4B|2S`?=_8W8yvR#q=r7--(W}9*4C1-$u{WLZ%B+0Q?l#~ z=V^st`g(e9-@Er7oLJmEb#+HAHf^_Dc2E2|Q`{&uBR_nQ+={@*#hAPl3;KXBSl2B0 zakFgSnQ}or8%XDhKDAj|Oh<4Sy$_uJ6?C8Ohs-y>2rsk%2ApPZdb#m$GA-yz0zHA~ zj~{PyaD;sQdL0;r8nDVNzYZpnS==fQ23^;=KB`{?DYE($xv_7}JXv(YjNVa;dID#iIGVr@`$Cow$QCRQBR1PT>lv z(`+rmnjRNGK%j7NIrs9c_eHIaNHxIx2oLL4f3Qhj1dJ9MC}}&p+pQ6VW-+9j!ZiH? zBY(XI-clLo5IBWOu(v?7#3ycyP)d}l{M3=Zx6jtn9_D$@mibR z0&W+1QdVBR37gB;DX>FVIJJCgk0WVvA2Spj=v!{gj4fD=RDWIbKPy4-|NQ_VzKzX?78Go++Y^ zb|a`AT#?hz+_4kTGkIeaUtoUlJXL)Ch$xt?+MInr?DO-$KF2(2SbE!l-{H2dg#|k> zwCmTeQ?atnu5EU8cTZH<(hv}l-Mo8uZTCh*Vxga4Lll$Ps8n`S?HU3kh>s_;f`3f+ zkZPG;A|NuJj+Pfo*Y>B_kmuDe(dU(RnIsGM60!L<%h9Wlp3RQLnF8=?t?8#*S4|uE zX~}Bl^HB!7O&;$~-x;%?e*S72$U7i5FzkXXdeHiB(UsgIKsIZ7!D%*;Ah7m>X8rj< zY?yOEcyu%+)K~z*U(L6$G#zcX6+L^uLMkh(-Nk7Rbp=f+QtG#p{hwk_-IAWj`Sd{o zA=4^>z>*oI>+#Q~+J5gVYd_c41dSO*lK<(t)y3U?<&cuIN3O89m}Z0-clpVNjgfhn z_br@2E24F1TE`ylTo{GfG2=IqpXXlFn|)bW~{afz{i%l^xOv#Rx#!VgA3>{p+XQks}zcW6X-u1%eT_fqrncke9IOgVm z4b&_^mTq!LmgL`vH=j-#Tf4g&saBl7Jw)aG_e!q9WFgBE7#9p7ro?{4>0Dx2mybEq zWtRFsh1+Fusy@UlJXWm#M_CPZ#!67?+|DI%-(vsyKr3zETw;%wm|RrWbn}34`0fgq znPsVd4`0#Df2wv{L~3}f|D4Kd-bISKjsdNL22+o>8Sfo&@$s#}N!ouW8{^euD_*;^ zeNQ^>;JVItom8R4myO-}D$2?c6W=SP{!{mFe;sn!Uz|iFU5rX|tLD=`2%u6GZsL0I zU>J;b=fB4KWh?G$(d*7Tc`CtWCKr){gvIRK2-bv9u;6AkDElvpu>BE?Hqb)c$=Ba9 zHkKfz0gH4mrhnySu$}HV@FW!ECWAvmr4tU;34ct4b@f5&bb@SHl3q^9YEtF22BSd{KU?V8@SKgw{L$=Ntr6d{3(ui76h2p z0(WH7>ug17!)Qa7z0LJIEUXjm5Z}#IowA^RRz|rmR)7A0tei)Z8)S4KITU!+bscyz ztsiRaePdr@Eww^n9a2Oy( z@QLYX88qQHD3{AsV-;RU)K{1?(KV+eJbcAq&g{do^|Q1~NUxqe(y&pHUsq;qnnnhN z8)lJ(S%bK|JY%^)L^bzrVdllpb6%_;gGrr-VEu!<5D?cjUWw}U*IMB9!5?_lP4?Ee zc&6bNN?B^&Mbd{GakX*wkah;*g-EJSx1JE|##Qwb-=E3=<2KBxbf+M*ciwvBqM?Va zbhlV`OfOW!*{8mE`?G>@>FyjEpOAn^mrGAir}zo#gU;UGS0IxY2`{y=wg%zk zk*O&w9w@hwZSsGM8Q1FG&Q6Qj2H(d@N>=3)<29}vpoBn*5|4p{6=^~L5_~N-7Tz9J zOo*j0p>4c}ap=N$mViSHzHgTr{pk~@pkS%)6numOEZX3tcq#?bOgt*b*^kI3ELMW8 z@rTQ-3V_lO+VL$`EIq}GH;KkYn|n%Do6v!6R8*6v7)M+<1cwjAJKVu`a^eG_T`gUD zVun*fA_?U5-ugti(vFYsQ)()+rInR0h<}@8S+=&e**|`a>WlYTmtSLIQdLnQ0Rg#4 zM**B)P_Th`9SbU&#*W|9<)w3al^{n1H`4j**G+Ej{C1oT=`6`cg)wsdG{B^L1vE_U8mEdy*C9pC-b{kiyenSuGiVq<1i=#@|*cD)0>^I(jrmQ;^XF4 z=I`3@V-&Y$i`)6BI%*dIjGA1ss-1l={0`QeF>?W$JF~D}K6S>YGHZ(x=j_GlE33M7 zl-3xz{mq^6OYFT3-$R3yQL{T&hAV@8(F2|-y`$OwGaf_gt!-^1B(->;faL%g2S5=F zWqJS{f`k_7@&K2i6xjbGzzozK`bDFD{*6Vt1=vZBBHS{xGS#*mpGl`2G2f9=S(`18 znhQqB1Y!?G>L1u%0?9u@pSRdzuJ`Q28fnb$hgygLBjd3r2e#+QhCb)MCL1KlBkm;y zh!inh4GoPnjMPy&z((>ti~Tgws|_|w8rt!(tr`2@z<3_MUOqDfLzlZ;HT#wtVvE?e1-TXOi&<6B8x%WSo@) zElyq|C$vZ0dzc2lp#OM7mG4nVA(|21$t7@f#n99$DFDaTulmPm}<5 z)74o^=f0$5GA?7A)U2D4TD?@Ws+H*7CXX#*A{G(f4cTGaB0+Sd&JEI583IG`3|7|8 z=;`TUjQpA8+ON>o)+T5_%IhF%1cPrEWc;T7dz+6u#e?@U_@9@Qevb4rZW$1qrR|IC z;x?$UCPwKwSojAeVSS*#%t7wl(Wc->O}FK288-Vgveh?fcvu@4ggtX)WMqMNx9 z;&cC4XswPow~u+}1Jk-YaqptS9($F!jXcpyGSMXmAeU7SjhQeOh29dsn@X_ti{I)H zvB`jH9pjxV>CYyCC4d!rA04e1ZK6eJ1YE7l)Q*5J+jL_m8sXSf|B3iXqRGPZyjhjP z#-hP|Jt3(5_rvfiJ^MAuf)N!(MIszH>6Zj-{a1H)K`Ffv+MUtxeq$a+dT_^nZ?UZ> zLoNeMp0T3pw-9Jv24&-JqkRzIII>K+OPIj%qA! zXh>C05fwE5i3d=?*&H71T*bpYB=-L%aZ|?rJ+Fq zc9*;gfP<~=?Pcc8?-=DCg78;pSP81SuaZzEDKB1Jl_w*U2Er34-7;Zhf2gEMhI)8k zRyW%!3Blzc9YOV!V)=4FY%-+Tw=5Hlv!cB!c zw{HsoBE?YdVP0NdHo&~=AL>*BK#Tgu4J8K$hY*z0p9^F=mg>c!e(gi_%e_V98|52N z!_q+}7d!yC5w5Q=BvIj+NH-hJo^^NWRhmmTQ?xMn&edh-d3_+|rl4R9At~MG#KiI3 zk+cH;sn{=HHl*d8rfU=l&%ky&h^FYe{mBIn1hWEPD13lerPty~&i!%EF?K1HRJte*IF$MbRu1Gz1^OO9yJ- zaNg_IqDU8IC`xa~H!5leQO4yd$K@dnxCzGV)bsw@V-O>2Je9~RFlxhM-n%j_nO_4j|e zvX`UxQb4_E@Y2BtGS2BxooQGMZq(IPQSs}Ik_~#qF2H_qkSuD%%FTjLGx@|FPQuEBC@k@w|`_9%C`Ry87YC?DwolY!5MA@vxe=fd&2QDKly#- z+!tSQJv&yVg`V%|fE2x#ujqF^vj*$&yprsN1y`diU9l`oZk^{mvth7O2-_S3^SkN) zIfFmiOd|AJhlkUiA1n!MfI-oyBKjZijp6m&jFBv*Xin$aXZrd+!~HlU{8~&nL%96& zC+x3uRxV=+uhCHfNbg%k*;nEOb(_Fh{?HT1{(wmIAfjFNG9h7-iCdPAL~4(ZGYf+p zvSqBJMZrpQp&_JV<7j`o)Df8l_>Q-Gsg@B8cCJ}-W-WHmdc4}UI|NI0pDu~$mvK1QYMX(I3XWOMvdZNs4azEpw1$&~4(vw$Ovj)Fv>`R2wM#+qb}^*RlW z0>H{aEm?pH07w-GBKM8s{v11>F2IJ&$RHp>WFek;a{EfFy1Q?`d6WG>Fvx(F3aIsb ze|1Du-8U@6f7Y-Ugv_h^n3ebTmK7xa!degI9*w|kW(Pos@G3y?i3%|A;r|AnE}Cjh^Det^!uW z|M9m;yUIF+1_tZC)Xt9#!fO7FxTRF~f2ONrx~cC8t!cAt?wEsE#9D34SQi$S^=w}9 zbM?LB-53L}D-xBwd@P8a)F(n$C7bA`d}l{)|NMGS>+apVx#-C{&w`2XIAA%Vf}uG` zUSyUjyqVv96txr_TzqYK6E-V1o`n|Cd2Vp0y0_PQMwe-!IY?T{HL;}@l1B_o7O9)rMKAx;7dE-(CIW+g~gm_f+^fbT5ME$$mQ zg@8C#Iq@TAk@C9D%}w$KkZzbqVQ3cO z@e12mz3n^(Ha38k^7;Du@|re)RGq$D6{JenY()X=Tkf9$m)e|L9IFnpf@6#4x`}2y zEMW@`lWVzxR`>NTVoaXsE1ddz4Z09{VbUonCxrlVEev?L+pD5yKoM7LR)zk#T#`H_5)|h_f$|9=4oI-TFV6L%)mXprXx1`E-0@u|M@K z0Z=qRb8skni@y~h)UVyR;oUkmreySIIz|;muX%>zHC`Q0ubhfH6X0=~1Ydfda0taP z{$aYb6xGll=JYVM6Sc4UxJ7sFe{BusZeBpT4od#<@o|pEpz#t5z{i4X18Pwzpy-c{ zl;+(`$eUAdwyt*V%GC0Ch2)VwKU(SuTC+8+HK!0uPgSlSK#CLtY&VTbQ)79A6yf(o ze9q)qyPT;>CmU9Eo%LF4QzqabobUg`L$Y=K#3R7DO8`@M@Pt!}D4Lp@ zroqRUy6q}iT`B#*(E%yC(y0SDo-v2>nA17md93aD2U79Isl6WYGmDl>=f-M93J-}D zm7*60bAMmgp?j`tpjZ+t0PMuHTzBx(sgP4r`3IKcR|g--R%@Ta*BRDLreKv^IOYm) zcH=Ydv-Be}>t;?SEdc0dEiU#289xj9bf>komD3C$JAj{%%SYhY_6pBU)F^5mgF!7} zjT3Q}O%Z>>ce;cR4ocSz4q9_o=*w;(Mt>`G{Lrq?SKmypR)v3jyM+YIA5{G?O>cxe7=i_EA_o1&!b4pSh(;oRC>lQr7DTV3_ zy)=Ou30F@DTlc))Lrk)GwFkOAiIl6BB_gU<^%g!KD(wy0IZkL){hZ-_9ul9F^c2)m zkvI5@OIHjH4Hle9RVFM5q5TSoI zA|W3vudLy*r~M?As%i+Mdv8ztLoMkMDENxTMvII90wi7NS98+L-e3r3A}A<04Imz+ zfD0U2)|YCqgkz(@Zvj!oycdYGvxet=NC#Ha!<$Wkhfu;+fwVBy`3zw?>--5S>22}StE$ytYo<)r1FxF` z0-t|Aqzt?@I^Z5ikQBUL-y1a7^5K!w>Ea1T<9RTmNq6TolY@3`YCpIs%5_Lx>>3S? zmNUN(p!2|n1APS*&Cmhu<1C=VF^+Ho)@ewH)3Z!|jg!*bJ<9L+b!JH;*Kovv=RMl{Ljc+|Dx0``qQcs3BH9rED?LmQ@wmZKjW4OM)PR@5-k7XLs zo8tW#ANCD47;POXhRf8P_s>3kKlRrkp{1qWI`z1LS3MUbb#dGuY}mUK*R;*MJX&jT z{j08jF3Mu;|-1P640<`)&wuN*wtoDai;D2|$KFpV0*C(rOe?zHOi0b55xN z@02)GiaD7H_67gBm>w14xPIuy`|OT`x6L-l&j;G_=P zwH!xJIZO+6(DrE}tyYrWgA;{kk6@-B4XObmf_1wluVR}G+py~c-*q;q2HyH>!YCu# z+{QmUHNOL;R#!xx$Cb5#N3_XMzau{r_g2c0@rN>i=){bT@W66_=H$y4xAAm8oaY=} zj_i%}kwo09x7{2E?7FX8!M26L7>`o`!j5j(E7i1W!>U@|Y>lf7VxlY|QhOVbc|`7IBg5blp5RdKTJa zX+YS4wbwd*o2lJferyVJajGXn;DOu|2#`jlI;2HJ;%aJY46$)~m`1&RE9m*j{K!0I zU~mZlR29+Ff98}zDHiZkRj%Pz-%7ncYMD};MT1i#^_MC??4_4&R6NYKi6>Q0oStqZ zh70=sPHXG}voSW6jokk^YWR1TEePyr$;%$*9tZS%QH<)(UtN0@_v$j1mBaVY(#HocmFSe{SaW;Akh)IG%r9E4;PjLZO6)oKL8PF-3(J!P!dMOve2>|M1bYF3l&eOBW1cF~S3 z@F_i~>3$h!ggMkhXg^UyI%wtDyHlgg!>lwF#_@)!o7K7?`dI@>3ZP}LQeF|OzaITm zMdcQ#$j>g}F4fPjsjgl$QXu2Cr4J^j45U%O*xsCBF++e2!f6KrM;F^7pDHW6?8F7V z=Es5(qSUYm1Rfetx&U1w$SH8h450A=xd4zN07%t`1OlaNJrYy{03rMJ>(}e_CT85> z%-ZccsrI!$W7_JQROkyHozHc10XMQgX%DSTc4^$gz-~8{hkxMavSFSI>u4wEEVA^x@V^)t+AUEcG*{n?8W42YT9XnVD~PciSP8 z`}=O9j+3o#@CmMv*qsOVJuwvigThtt0nN}VKUDal+80k>7QK{p5%d^rlrs!X7Zg;K zrHQIH!w9^ZW#ncdvSFEv0~IaJ{8)={a)KOr#@y3bf|IavfR3_q=Lh|jS3Z!S^!>8> ze`y&xaS_>)5%9#@IeOCzr{VHq`|^{-J!w)2VsioIBcUj0@I)_+xaByPrhYG%VS(9v z_x7%13-=x!+b-qXW*QkiEuQ~d%9spHD4zg%vAL&a1usrgK$a-`a`qB2U}v(xx-c z2`F-!33CqSo14-;WB7Fg#h1mfBbx*loWSu~c9Bd>L)|uW#(p?OiRm_(ZaIL2a*+a|mp0lz?UEixlyMG6qu0IRzR~wm#b^MZ^>?I~0AY-w zr7ZW_VZ0PTkR-Yo6z;*IvQ-TS${Wtxw_CTUnO1tgr}!R5n&HR-S2NN?O;`H3OeiIgFYvN-*oKULAnH?dG*&w}1ot<}VCkiO1V9M; zqnoFu1OggB7o_`kU*OFnBQ?#pA{tj|540p3{404HGar; zH$yYn6@v0t%6RQ0ez6khgW(oncIm1VSZyLf+;6p{54Z5TwrD_(&cv(_LEgQ)1e_LA zVAKC}_#}3HFP<36{B`)LGk5Bfsys+QF*77m!xNn<5sUmbbMOBB?-dnaabPr9Jc%@- zdl{!akcp`h{rN^gE9KGu8x9933U=MHAEhVVZs~15$=@ahBpT z5fL>#{cA4<+_v88wYKTh_z@@;27Bdy_5Q}gCNtuJ?NcW_z}rw!Q(L-)1p_4S-JpsJ z4|C|{BkF65(EyEFc#wGfTQi`{PfC_9@o-GuSUNkwH|+f6Y7g5c2_mF8w5f5_8eUud zZ}&iq?kl6;qCf7#q8s+lLK7bEZl9_8+H?oBgxsn*JDlp}>o3YJ{1RsGB@o<3SA|HZ zjmCT+v);-JJht`6Px=cGA9NGDHs6!!;P3e<0p9z81Z0_2RyNT?28z?oV9LfYc9EZFmARaxg|6+hs%O`R*S_9f~!u6RrF=!TOABqgRgX%Cj z(x3lUnv=-XC&v5EH<&<)Fx7?dbelZPJr-ypeDVNZ1JaQ9A3j{V2^0{3wHdZc08(f# zFHyic5zYf{l#_!atIr>34$EwZI5B77(=ysHV2H}7DeceQfpasFy-r!>Fw!}7qptW~ zBjB`FyZM{4Z8T{Vkn;bBjNjy-TYPzQ;2{lsx1G!fE95f1aMW$FH8sEKY$~&ji(m;r zLviV*uyA>^*HT9`vH3{84tZ5MNQgK&0XsD&O(+@*3UolO_wwQ7fDOY$Q#)#BP9(r3 zctAJ$#D*HJw2JL5M){jgznH?*QtJah|5K*&qoKT=wuh;f8S~Y9^qIEq`tQ1pul4k^ ztV@87HX*W_doC^ph=YiP0we>p0CQ^oznULr)c}a}p#Czj=DimHxp2Sm*1A{B%PF}` z-L!X)O99ei;f07N0Cm4Ul0B2ssu9uFiz>i<$FDR=f5sJcOD3kQ}43}7VLJxH7gFd!dW;^|i#SEPJU zmbtuPYozAW_47IRlVE^mQ|5Ul(-Z*oJ)Y@Mqzs#wlX1v4fCxclo_=rt%7lX`l-Z3R z82G9oj0*yZmjTckqUO!g#O@=$wkk`^@xZ_{nt}o&+pwkFV*XOL88iglf!SSs^334U z^F5ap>^$4@gpEq<>+OKO8bBiZ^&g*{P+z}3oLeO;D|?xknCmx%&TxX3 z2%syggF>A}aHXW}l`Zyy28?@mwP&~QK`XU5@Fb~iTNuU%5m45}_raLr)U)YO0i9)8wD2lxyc8o0XHjCMi%2KzcO1Pz>> zcW!aIrs)4L(!u|61fM>XE%bgv`D#4-ec zDOr$1yM1PlH?AC5i_!-olVUB0ygp|EB{v>5mCtWzUhjh?hSx-P&;l>z-#1phDv&PY ze>glf+L5!0c$y;S?Bp?(5qw_TY_UmfRB5M^H5G*F6+@2>OfN1j0vSBea5S|G?1w
N%XCs;qF4ozq-v;t&)=*WCu>7~u9p;~vFcwU1S_P4Xdx_GKk$8~Ayb?qIO-Uc-q zOV`+-Zd7m(n?@7+;~&V-6rW$e)ZmP4JjE%$T)%z$hHj)t4-TrSg7l%CRHi{>P1&(tWPR)vBl@H9fr#G@@(-ntEbS=+X*y zCN~DyfKm=XJVmuA;^54i!0;V2Knv$2>9|Q*$|HaIqQ1``@0$roVV|aozu)neEyytI z&W|ft8!zPmz^L^=raY(4tPl3X*6C8Ej>D|cBcBpESvqlJh!6U>1IqkJ-<{HVu9j%E zUA~t5B$WabNIxlhv1GPhps(}Ij8jfYNl9Nq1s`Z(Dgffmia#hwC=>8)AUN;f%sKtyzdye2W2qBibphZeo0$6atAt6#M=1hG@% zg))RI)2ACMII6?mhw1`md--qg#0}EnoI$AGpEoO%%`*otTuH~p)swhSoIy&@Z!)Gj@o=$*EJFiB* zGR3ab0Dcb}vhr_#YfW2@&el6As9zM{^qA0uG?%1~p#9 zs08Ofg01BAnC6d66Va;S2iXeGgfXc*=hs%#iCp2&4$U$ zZvh%o2dNzsX*iqrnkPZv1b!k7u#>aqf{L-6Zx*|rc@)bdz@~5rB2eTat8ew&O0i5&6yT@}PxL*-*=F~&XVXq)GXnPC*Q?uKK^S2YcBA$5$~c-n&a#B~ z?wu?gd^~kmd8uC_x1@B)ady~La@Y6z&WtNv%trwH$|$JD3r9zTIUAzW*U@>hdNLJ_r8v`foKYHW}Yd?#*C|VF!ze@uI|M}ThLdA_?qNzQKZ+SeSs*i6+LFA39<%KZQlcM za#q=(#g=;V5@(W-{Y7-n;EW;WLwB7GqfESz3=cbz!EZ(CzK9?x*y>NkXXGEmS^#)<9a9PDUflo{jt+yLeWioT|(NbXgwbF2*xR7xo~~PzRhd zK!_Jvg_=Mws-)+}V?fD9RRQ1*0Cb>N1`p6)TtMaqXb46NK%npMck=^q4-PT~;P;Ww z*l>>hk}L2DAVp|~Vd`3Hfe+u*(tiG{_zQf80GaFYS%e1yE5Ix=t#wD(!Y$s&19%j0 zWK!g)gl)phx88r?Yu(Gtb>6ek#@=A+6;^Bhsn%gb4 z6KY8h5oo&ZnlkD$S03nH#J!TAl$b5arXqvoZ-*}zqBt8eg*cu3j>JuRTQR?aIwq{^Q!yBE~dN0 z9+HO-#W8))i3dFlZ)^OWWEepF01sOENs2{7x8JmT!)A2RLwvKr%VU@xI)x254i7xt z>}3WW!5=}x+eIyB`?QN`$%qJIx{5&(S6Nud^b{y1r~Qk|JxCeyOEp~z^c0^f_280f zoO^2FWD$j;7hcSwc}!H)T{}UaFrc zWXa8PNitE(gQfB0mDmtn;rA{JfsIxtX^*yhN7$tCYJ(br)l|}Bre;aJVl4G7zZAV_ zpO2tZ1h*2)xhn|>VRZey)A$P}3;c!Y2X|xGOpju=&31k++Or=bzj?@wi0Dna%{KvB zhgIB>NTI$x(fBMwC}_HK_!xK_xm+pAXc39j8`~be68%_~!ZUC>WmiWySiiIW1&1WK zv0aC*7lU~Y{IiNL&2I~9_$NXx&{vG&Pv1sEDYJg0DkyJd@HBXnZubHCMCueq`q7z! zdSSzl{!!%o0%mOC!Te&gOw!4i{Lx9GIDey0bpaya!kOy#m`LHwWItH4rGL@I<%n(W ziO!1eS`%7zDSXW)K1Uxr#+z*AoEwihLA}s`UN!p2B=+fl_GtBN(uHF0`ZEd3onQTL zU^9`i4^z`}+=!-{1;i5v7OYvtm46#`ByLT8s1kBq*WT~K3~^L&QD*GjHBqP=L@lQW z9Q;<=nyQZ8Tk0U7Vx`jXd05j)J9a;Ch3ynEWQJE`>BDyJxp#Fn9Q6ezfRP@@3WuWI zibiJzyBhqm+x~qbh;pnW_petcgSOYTuMdb7vI%PhCw9G4x#F58cX5j9yYAL2y3wfBJGnPl-2h6e;xPbu?F-sW(EdEq++?& zn`I;24%cGEbsCxlpN#;l&k+EJNEcb4ds~H|2Bm#uSiLUrSnAlWAP9O3lng=j&MXKQ z=;4!Z-CRRF0yS$L8>YzW1T%Cuk9Xnd6W8u8L-gLjFvRy{J!hiUor_1W_(6TEqVGyU z)E_)DSdJ?>Wr--6sjqwAL(zVhZx1iW~JYOsyAuRhh>N!^kJ_Z)`* z@f-z?DY@VM{m}r-Cm|t8u6+?R3I&`9czb$!aGV1!f4|!+pdW~Gf3z4hmpH)zmW$6C zG;eW!wi8US+d|3@B(bmE;>baJ8lv&2m!;2H=0Y3=_w~hZaK+#H_3m?DvCAy_vAaF> zkUm*dhXaanLw;u{hmw$xFcc!@_@oyoe7tsM)&D++!=V@eah0d10bbjaPpX|}K#H6- zu>w}%K?<}gsBO?nXI5;@+a&yhcicN42Q~9Pq4CLXvK*3NabN`7ncx=XhJ!3@6&`{;& z%WT;SY9Lxz0X)UtVlqNdKpg7KTulax`mj$z$7g)yrY6V_T>{t%dwh?0v7L*0C)bg97EzPz!Eie|r@ z5B!!7ih69oYh!~_W=&s*;VTjypgzbA1WM&#$=Pq-{P|Z4w|o~s*V7qhOEYsr_%$a- zS3k-jRnmPHuOe#^tm%Fm_mDM96z-7@q1=#I;@PveZF1Y~K;#Mtt%d2>I{)+Le;drA z)*6IdDx2(?E*r@hrTEBr9)n{R5pe}i1O9Z9lD`&yOdjI2+_eO?JlvX?cJG(L0~uV3 zfn}DqwnUO-@cqc(Nt}c=X$exHCQb}udDja@+P>zI;d zm^Zh`g-^GbMc1a;Vt3}yd9N8VWwrBCJHy@g{1{OSfL;7V zNl$J{>D@P-aiWC{EzQf`y5(+5L6^<~fuK|{m2oC-h2-vxnS14-qOkE;+)8bgd90V} zUz#MFrNBj7z3Z7NWwf z>hpRcdeF z8`w1OT;h4&XMFGX*BQfc#@dT}-7)Vuuj@AhA*J*7{d*3VN|+6OS&eSjEC@^6wVS$z z$VezR(F3;{JIK&@bY$e!exCxd1d78m6$XP>j?T~5&gW{SBfp?V+K7gTptA0^9v;t( zT6G=u#NJhmWbFu~H-Jj|ivd$s4TFMYpQ@5jlrtSQYOdKIy^YoSG- zmS>&ZaU#|AJ9oP?!FP$wFeRyiQYT78gJ|ADAxZRXVqApvovN1MsQ0cl2o^$&8OYCE z4jCIWDpa=q2_hxrrDv+oJIzzoIYtGEq%GXzsp!%wbk0mv?zHw2sjqSe6x zt`<8HCIE8xY9V9QYZ79$6>mB`lxI(|{s`+!we%Jj=qJicSt3P`SC4<1w(Gc#p(NrZ zHXxR=YnSWqS&qZ%)|jo{p1*eFr&R-{R?%fFg|S=OHgzf`THX6FzCO?J$Od9!L9||9gB|t$ScL$)1D?|v z5|HwMMYKue3hriPxI>2ooA8O}9PL^9RWF+a!#TC;uMR#3DIWa2pyoX*Jv_B7iTv>s z)J)b)Q1aUc;6=AUl^kXA0mvHY(|MBU_r`Uqy}D23Z|0123a0UP6?eHA#aR_Q^O2ZK+P2^L zZvfK02M$Fj`8-~|$vj1*6FFV~n~j6FuDEX#)Cy2kIVUSSy3n{C<8^*m*qqjbY-xRg zxwSAV=+_nLAH(lA_vaHF4T@MKS%{kysz=<6omj( zs#A9NDc%ll#n$Fs@ak?ZhfQLlg7+;#g3934_HV}WK}2!7e{zcj#VBs$u9emc3K3kd zjMI%OV*FRUfLB-mu>`+3swFh z%0b=#VeMFWkvD4!mXoxXH7_;$g*Et9-^1%|N*xDGW9=tia3$zl`g;$XO}^|ayu_dP=-vuR zN&=O#R(@@{g0(({tscqdv00f@x!ZR0*kv z)?hl@&wY%2U|`VsG1j1UZyS4pM6jHz0^h1+%CV1W;H`!@!*E|~6wRX(CofBsJl&=k zts>zLeYX;yTir&`*q(E1@Z7)cMq_y&g_`b3HNZE5%iV$Z+TATJ&#lcN+w!S5$`^Tf zCSiSEkdYaIU2OByKHU0xps*9d^7Hkfp3K`ZyeQ7LPXgmP%J06OCQ2gH^g53JZl?E~ zbV4Lzd-Rqi>ub6?A*HebTT_D)ySXguEf1W)0=Rg_UZ4>jX$K8I=wd z3@sJE1fO2Qy$EEByG#tyn2n6X)%qYDew&l89#3)tn}`#fjOnLL79QIPv#_ z?n8|hsFTIjJ|Y{!whcFXC=iL*$jkAwc1JCCxZTmskKqokAK-GDeqG?dio*(hG$=J3 z4JMqd*FM3ucQV(NX|Kw~(zl2OSP|rfVN_j~pNXphb9TfMvAJ%FY(L!(!N_i|(KXYS zqnvLvo_fP(dhdW9?^Sek6KH;2A+>L{elO7&?(uir%uh~7Q{Yihu=GT4@9x~2cAB_+ z*5;lI>)uey)^-AOr%w{)iowYs0wVnrv0a3QQJSylBQNrTV}PR}YweZ$k-#S}#TNbn z!SBpvPr*XNf}9g3Qklr6VbaJhGalFnAs5taR`{#h!)3V&tMYqZ57=qoxrn&dVPufA zqZQbAqAnkwrJ6G-&x=4d?syQ5N;%!Z4)<1^^dE!&kP@#ofQl6Lbxr82v-voBvUzG8 zC;YY90uK^OL6E72(ppBUx1`vpYr4fVI&eNtCtrbE#gBptIcuJ@?1pPv`7iKg(6n2# zigmv4e1d;{Aw_pj+&Kuj{WtGHkpW&PsKP1rF7tvKrQBzVVA-z5W<(Nlsz18A%)fWGP4&mCLv87+*{mJgAu=J2<${8Nkv{{_Do#(OddpRong z!I_I&Jq#-RCCK^_T?GL#Ja{52uV#Yn za4Wbay0_y|fuN0iEmWO>h@~Yx5N6GQ*-pmn*Xpkbc%JDj8*=QTk@$~qYJfNo;&(=> z`xixt|xN8`dm1DTqGLm?@2!hV3m9{2- z5BJ=Q88ou{#M!Qc8wcI7M!>A_Nclm%CQ^w9I}i98>IBI{xk)c&adY(xgn$Xi<<-91 zp=!IO>91U^`Jp&dvjhHp<~3OZdXG_PkOID zQk?Q>teGE?rc++$Dq=7cR6S|yA~`lGueBeV^}g+Z_(mSCy-@z;n|}#DVp`49g^w2= z$+qmrfv;+$xiWZj3=)W-{BDREIDFS&jGpS`5_$H`>H6Lcy#5kvCgcl2Er8jvU5Hov zYXGZ^d)!9O<(6x_oR9Zv`UUmtr1!pocFVQXB@ zCop0@t;VNiSrxe?8V;)HNJ!w}3Vx;E#I|syLcy`A&(P;CtRLOntqT{qv!*)5zHZy= z;4MGyPMn1gcWpB%~h*DO2|hm;V^d*rR4LWY813QzPfXVX%#PHQ@r?lfqtd)Dz5f0 zncmRzb&c1qd*+|?H--=DmmCYXtTm~@0M=gP%)qr7`uW#)KsUB=Un-CyIk|pbx*t_Y z)}XF_btgLizzee)Y)>|})h3OTwur70q6EmK$>^5c2jn84dk>h1Kn^r^>1U$tGGKM3 zzJNYaH_G)q#GpD&e-qpv;=vA6_6r2gH&9CyQY(3Gk-!j{=}cZ2CygA18ri{0bTm@A z?8BUWU@P9UXJ>GqbVYB56zyGax6usSapu4EeVMaSaO)gyQZX27x!FK!!{$Q_OM3EP zcO|2!=+6yW)@r%UXpB!@_G8$|U|GA(1*y#qN&Fdpzu1K7{g@B13Cch#y6a9=7>8k8muVbMkbn7)XRIW`oyBeYU^nzVJhJQ!Jo30A z(VGJcNdjVu^?T25qTyCKy!y9P!8{}rp20=IDSWwZ_$qB&s(i-p>2xhO)YrSa5wO{{BgU%aOxz_?iSYUsbVr;yB zm0)ByEppz`hD^iFm2ts&ZOmiAPW+@|a(_f{t~jBOTomy*osG*z(#qk<2KV|8=YMW% z!Jlt&;lB}`1^>bpDpG);EVx|Lwp>G9qbW34bDU|a8RKE1$Ie0qWy4FHpSs!8{4Jib z%}*v-OK<*CWgybKT*jp)Aaz2{FsiZKI*ca?4LM#pP4N{5Q{5i7#cWKWA$eDPTCy%LN0B5_J1MTDm_ajP*ZCY6DUZ8tse}#9~8`Vg`seX zS?H=KQcjY+JxFl{X0-Ib4={Dnt8$6S%v|n;Uwz=d0LSXvL&snp!(f3gE}sexyo45yys$oWN3w$ZfHH6C^j#sq&LR%^btv9N(9(COyGg4P!;xWhg^kuEo;mlQjfB z6Dz$yO?m(5W+Oq0vNdd_894m@B5KPUjrH+A9H%G-67$|hp3iv^kthllNz67n)e&;$ ziF)?dAg}*pz7StKLHR$r))saAN^iTIUV{qyisWNZs4NN_P=DbXesn7Rpw_8zWIXJ= zU2h@I*n^fvNNAqCKAk-W`#6+#$x}ukwesqf{p4vZZ?wQ{HOsBqcRJ%Omrotf6)(<% zXG=MZZMa@+^Jf*ZTcW4xZduHfm%e?Jr$wl<^BcAMdy%pz}f3NFg(+Lr>oOAXD()D9&>l!ILBhnKB+#v;hx4HH!>)&+F2 z_ggxvbFgL{QS`dy!O0n4zIHz|oV#;zgMK-roXjvx01uo|Pe-fbO(LHyb;vyWMk1n| z6I3I=yheK_D~jB*^8)J)Rg6d#sh<<+R;{H@a%y5dmFs#jC9k4j+J6&bwhB| zW0Y@djApxfH3U9r(ZzpvRmCj}RHSs#-ZgG!=b&dyifb4s;cXG*+Q}L>90#h~2@;Yq z__pZhWc-5V6N8Am85{A`d(=QF_^ez?)rBCn9Yyzp`XKy|yYJpJ9Fr`g^N@1gEkV&W zRMq-5QVc2T;y!Z9c96YXPor9C#>6?_{{(RZmg)(*HxKa0qTkVNr zls-N_@YCg66Jd9A%S!f}oFO;S^nIiW5JA}W;zseBjNstN*a4#@X027;Dce1)>*LGe zWwb=9&pQn3pWBaR2TUH4nxOp*ea#n6tv>kgR`(ULvTy1%laZ0l{Z|FCvWY~_Zhh~z z!|2^um5T4yHY2mu)$E(c; z4R2 zpySLPxZzn=@2t<6I9njMJp*h1B^OpLcR2_#$>*Jfe=FW`33jy0>94UK5{0x%yqIl@ zW)Rle?c=%XuW#fwW4mQILg@3@Muo@sI+WACl4}ae6{%wCgn~zCJBgFXd_2^~^#)~- z%F|I!%c4SWNDs`1An4ZY3~7Rf_nVPltr(zNm5KM5k41(i|=|QD~COxtcc?PTO|gAku*g9iU&h8 z&pU<>_b-R?gh|v)uHIqWPLoQKN>)MK44J#-5ExVmCmog)zDhLIZh_xGyqnz{8Sb)4 z{#KoCrkB8aJBAqTns1-7;QN;pqFB2*&W5ChAt;v+UDIL}Ut+($r$6KcMG3yr;f6RN zlQ>zg3b;h9H0OvSX5XhDqnS}6N%XmFDjE58jfSp8zsh;$|j~od33HWim(g=Q&xP`e_iVZoZ%S za^pkvKP+SS@=@g(_gXXMW-Z2B+VgvQ0AT<=%-Jp(9A^EuDgg$xA&xMC6SZxUWA>`T z=H}$?O$&-+%lM@e1mmvypknwq#x80G|4r}9>s&grkSJA_R6Z6{t4(aE`RcWPVxh6o zTw2l9C}4Nb3pdhCqbiMG2QIvC5n`iHG`?)?JYAyr)M2O`-S{`d!6x@%y79;b_Px5x zEnQo$kI-fPe+@{Hu7@%XYT2hZW0pQ5DP_;^CRzkJR|bJ~j~CX|0O|dk4<5Xc2oxRL zSJ!o$-G3&2vdrm;fSH~>sdvqV{RG>Bx)9yS#X;)Q@?3h0<|0aWshNn~1EhFR^mgBL zH*RgDdXanJ7RWf-rLp#sgf6*-OI>n@?Ju}e`Wt9jN5OV66R%Kv?3Lhq0T%;TX<69| z!NU_W7Rs33`C4YXtP9`j5Vi3*3hmjVZE|bCT-G242Q8w%&u24U?(%=RH zq20|T$68zo!bm#Ywe*)tQk8bZbJ3q7gq@#RwrV`h&b!RrQ_uQ)ZH68H^P?G2B(god z{nx%hZ<}Fdr^zaVwXXYge=3(RX`U)92WJSJ3!jz~AIO@#amrv%;-c(4Ifek%WH6m2fOY{QC>Z z{+4i@xOGWOe+qr3iA)j#8wbFEQ;|wxHO>H!)oqFzWW62S#VT-^M|y41ko7IsJ@Nx1 z$v4vipahcL-mGV$uY;ibYeRs-&)tW8{JNo`>YYV~3LEW2Fm&pYa zhshdMV5yY}zW1UUJ_OYdolzLuWtwkGoY9TazBHSPoEE=c$b+be;W1 zCVQF6;>OXr@}c9i-9sdJ+cHM!03XE-pkWM1N^Wl_s?>UYd1$=qo{NsMoViw{cluXd4o8k{DZN6%HXU)@zHfPIFrrC+YNKHuHbwXJS?)~6qA%rNYU?U2T{ix^zV-j9TO5}Yz4gwy}v z7$AIon%+Cz(8K*LbpOy<2%}t7urKMZq+hSFg~2o2LYUTzORi?rc(VeG-TW zal$@)kUAw_Wc~iT585I4(+7-QaU5%8sWaq!Hk}L=6|Q6 zt^_N=F0I2B{JY-gt670lv&+`@mXP%~r$-e{y-(Cetd{M>5ev4?x8FgN6xJe@koB@=xSbc8`K0KgV7%! zo@n;UP|2e0#P{^{MCj#0DnFbn&Aot zwlGQ@x$4XxR?cCx-0q?XSUX5(+T$A`s(Erdf~;>5*k`{!+fn3>uCLuDhFuu*M1OXbYY#T^ps5e?_)+%-zP&x2gT9gH-K}S`ip65^A^V;VLW7W3 zzB2;Z{4crtZZFAIQD_;pw^3nnF>WOxfBx;<23>;W2bIgFQ2aYhMrRXN?q9f@G%0%s zmNa3rb_T%3gXW!lr3y=Na4^GLrlB(~p1GjBNWpPE;Y(c5L-n#va5(DcZ#AF{f}`>* z{fNVqypA@IZ&?t4TFF&6G?%j-vupb~Bwo7Wwv1I!Pyk@%Jq?ZT=VSF6{uUIUyknh} z3^>j_^2iBN@%eH3ri|@uWVHgvQFuyml+A`S+vrdw|I0_Wzp5DEn;*34jiNBDc!vxQ zWUKp~dA~03@`eM*Be8aW$+l{Dxe~-u3HLK~|K;Q7*DUGMG#}@qOLYqA8-eE0P;Mxw zw^0Bh;Mjj6*Sw9*9kE-7*0OlFGKSkB6XB5RD1N|vo0W}ig?5}7JPAntT@oiNmxP#8 zR;OC$Ohv(((!Y29ctCw|*jOBv(jz{ki2Ue4S-p+*_6mk#B$F=!8hZ0tc?7MItyQ0P z&0nk5yILDuI6rGGYRz`F&i+8fh7se|?Bb}Q``ZLh#&b8`F6lzH8ir~7vM z<2@`h|0UH0hVk=~2`V*iJkcy$=9#@REYfxAHRq>)51)q8tjThhBVO6&w_AF$7*bq0 zIMq7k4n0Z9$RrlB3%5{*2j&{_&vf>F^Rs%ou&59yHm^^ByoO{Amm`7@HrBAyUrrQ+ zi+?IK5B+NGr`h$qTJDCHK-mG)taqq+%6X2P3Rz`;)kl3>PbPz_cA|Kk488WQoMV>i z^s?zlxB@(5KS~$ zA=-pcbJ01>fUZENK(_UJ%JbB`7AryY{{#_Cxd#l#s?Cf1Lc~_TOMg%wMy?{?I1&0H zaH9&O78!^Sr25~jm{c^CHE!qC9<;&*=Le`9dmh2#LnC(M_BJh%$0z;lk!sk^WBa=u zYzxshTp^S3W`gzJhT? z&mdE}lPV($Rh#st`aHR`^I7E>-gmmCHmsTXbG=Vn(79rcV9FH)hD$rMTmW8S!`)bkC0qr-8v z`D|LePE5Vg_+G@WX_=hZNl~WK+7tzgK!0NbN#TXocgN#dI%~_AVr1sr*>K`X@lOq8 zIJ&d{3CTLRdCw-tCxY7@@x-u^t(T~o=Li?QC zT|Gj_3F8<#lU25+X5<>T6}q^S!it2B@=34FiVGieQKVud&+qc;aZM5<3*3It;#8Fl#61$H4dgVeD1C#ABd^Wrp0?MoGcYB5z{N^EXT9#Ve2B z*Va?Gs)Prqtnk0(4Bb*g7dnTbVQ5pACH^rl8X!UJ;&tB)6SKJWhCc7Fv2JZ4Ik{_- zAU2nmR>U7^JL(H?1GqSNV77q@8#vQ%-MxFIToNfORzzz?M{PDLKR$SkU-u$eWuoDL zUPuaki@ed!w%n|AVB33#G_*99>d&Q+->heDJ?WzYlPBN@KZ5XCr1qpYO8p1$zd!*s zF(s>kXq1%FUepR}#?)8w7&V%YG2u;ikC*)d69Wh9N8e>rXk?}h zxax%q{=Us1l+$NW+K~vKfsPju;eKaxp{RAF6V?Gmr0UX|&v`=8ThJkGUt(SYAys%1V$}d+d;^Z0$zK zOOZTQ>Q!;RQ)pAj$lg-PE$?pz116s4%3pd$DQxv!qI^@!c`J{terbUGaSG&*)AKYJ z#ug?M@>qWJ#c1-!HI|KPezjB-RnQG32`8T_3Ra}@x^o#Ag+H?BJFmzjp_ebs^h*3? zkzMby(-fx^7D|ephN2q)W3DpX(fVM=-%atEc%%)8q%qK_=tvo4anD{ss4K@UXvKw> z@NCJDASCs}Lh3?vtfc__^hAlgMxn-OsW;k%zNYPxzY2T1Tsse4z)(?X90IP}dqeti zfx7cIO)xbe-VLsu_s}2r>^noUJWGnM4g!xrND%|!dOEn&5#kU~w0sgQ{vVdN2!g$~ zreqy8;N#&T8_Vy4nL=%GqIM<+jnXdcSF2!>3uB{Et#~Q)D|X!Ei;vw5vPDDUe)?cg z_vwIU10OJj3Pu`T%^vZNn+0JTSU_&Kxqs~4h|wb=C#iudcli$rm(s-U!$JTjIW&hr z5S@@a^MF>uNF< zpJnY%_6Xt<5nSt+9HKvcI^TQWT``;i-&IqPc+14+#G$7(?QR&4_$OWBl;q3dVD`h3 zwxY-#yZra`NLEhL(BD8;9NH*+uWK{{mDx>dZ=oOa=(rx98NEgZyjPCBrflWz=lN1$cR`EZ=UHc-8N8kISjc=)z z<^kUYJCpF^AFpC~b_AWLVpqHRG!QZ*a!*Idkc(8a<-|5xQ>3WqkHuZn=mxY)gP+XA zob2)3{bScFU2|apTb`L%z6N7-l4yQ@%%GZNxV{gnf;|kqz_C2a-W0`EfAlB=m}&gs zkTf|t|Ev$YYSR8=|M9919|9oV`xXR+&;gdD23||&_g;I^Z_pQ1lD5tbT?#X zfK1)fwUSJ4+%qF5T$Z@O4J}9+gcXJg?64r7IVV5HkMhE`KW&haDLF#6N$5jwPfw3G)uNOdKI-ZmP-+4ND0LMl}d*}Oo*!-u-^d=88NT0@@H=L5P$hsI0h< zcgo=p?RJk=k6!H_q~CT}c!a02>`Cg88X4&0HtmY< z7S{H6${Ff5f$G{Rl4K%qA?SDG;IVP$w26xu)PrFVcn)4dnDbBk#O*rn6Bj*0(vwAH zQ1&`Vj&9hTSlSwEROixb>^Gr-%nR%0U~B8`?~!a>&1^n*?%ksT#JdfIx&nFqov=T< z_1S55xpg7S?`&G*FMT$KUg>8cN?Gaf{lGF^TyjrJ>)DF?4YC%b0&$rOLQ<#STvcn6 zKG1^amqeM!VQ6)5l%$x=6L(Y7^P2k4XxTh5_~3H#+!_x~av61F&8=8{dY%@^_uWNw z`gA{FMAJ2!>B!Mz^ZPIV!t`bpCh-1RB~H4mg(wX{|52I$A8>ki3a$ESA;;YdywOR~=g(o?LR#Pc#UClai3#~~4Z{_I&_xI_D5yW~)f>S6}}d=yY!b)q1f+J>>r zPA(<#3Fw==NLx2|2EnN0y()9p@E z$hq17Zn<@b#a?b49~yf!L*}#&l(85b4h@&RN!aSwjhgPN-P5UuNC<+DxR)%)Ty44q zcbrAplQhG^-`}c6{|D65cms3iq&+STeB_Ax9<;u|ge~sO$jAUOfbm~NZnuFrIq}Lt ziEn9d?Tg=b-C&H23g)7*mig3zJ0s(M8IeFE>6}p=H~*6q#@QZMzb|Hi|G0M+H1w=%69khqU*;Ak{mt#mI@5cDZRK2-XhF zIXN8eo-_8C#tnqKwxNSUS!ct3Usi-HqV3MNaY%b*b)^IY-BoS{OW3c1b z+ke61iPYuwv{vtQ?Em6S*LUm;zVkedCzdcSUeH1&o z{#QT8oXl-bYr7{Li}UuO_dOUVh?AC%A2q&9)~}Kg1p)BEF6vO&ZtN-u-ESHhrE%Ss z-s*~oh|ZX6!8SM47u1%jy?^`dY0m| zNg*$w^VsRXw-*aG=$Sepr(L+kcc_WS&uVu`jC@B5zXtzq1yB-@lspVNcxf7$Y^&!-&#z1_e~VR{R~qvk9K zarkGJ>?$4HBW6mSc3q@PcNlMH-iA(()4lIX9YHXX;K|k~ST-G_t918n6J+4bJDKx< zV@#`#TwQw)jMHztV(U^lV`d|c!ZEeWbkTNtd~3Lp3cb*OP#+0_Et;TCa;S?l{4127 zlw$1~X?!zxrn|TW2Ou-4+HMWY;BvIw`cC&*%p00((JIh`Ui7BAT!s0`G-B>G+Su^_Br{Jerncmf>f&J z9?pQzH0RRD*aN7pmoX^Z50Rs8o~Wg}ZzfDN%lM5 zXZcBU>J&u9K+}(g&f3bG=O{@@uV?jiXR7lQ>F`y%Z#X2pIJ`~*?{P)_Deuf=HCw^< zA6q;ptNvuPN6poI%_R@p#)gLeYL8O29DNh`?V8IkSiVTOdOXo`^--<3OzEt5jc_2w zE+v+zUdQz!{$3-qW+c^n75gu~&>OE4u&>Y(iVIrhkdgf)CM2Xjb?U(?3h8Qhgxnxm z;*JglO)xOxI-rJs4IHxswKT}Egv?7NxV+u2oOz@FHc;o|%)ut5;Ma~Pf4HATq-0zq zh0Kym3&NUY}0R)!fmAKejsRc`=#CX+)m==+5GbJNyPHv zxvcE+$&;ssvXRz6FqL5e@mzNXK9){SObnl{0qy|yCZu690Ik|$_&DLE0dFL1J1R|d z^33Dll{yKD$&zEpV3j4kzqt2mhsAL5Fv;O#lHzDYT(`#=v4Eny9!CHeH?_x$-2d_r z__n{nAk3q#=keV^q@XRT-+hZWW!aK$w9h|B5U|qzsd7#-boT(^?Q{Y_DN4BEu??G#LCQfZV_BU zMof9`q~xfwXRLmP%P~8Xt-I1A`;2?imZi~siMBN@u);{|8Uo1>JE)a@R`J`!_NppR zfm#+x|BS>0LKw8tUcd3Gb8I!?LD?f?^hA`0L?;I&VblWD#Z6cp27POwJJcuD)K2(y z1__4`9fR8C4(FljYXtqh!x@Ac%$CI8)Em_q3FH%jg`F=cXXykSF((Us6h4lDI|C_ng8>p_hKJ+>s>Pg?SfcC%9Q%X zyB&KTl{7sSev_oar|UFtjQd~X^aZ_HYbw0Cp`K>FaIxBNUe2SMqwKJFS z9D0$!ND2Go!n64B*hI~o)cqmbTKhJ>QasFeCR|L`t3d5}k*g~F zdB7-3#;48~|4yRlNn2an${_6XQ=AKLgtcq-#Tnhs(>8NHuV!STZOP9a=hbuh%#l

6<4)r zQ8q7u>?$NTTY1|b@624H9rrBTw3#{S+H5)Q`Rl#HuzfSj+nAVRF-A6Bb_Wf8m6!O$ z-q~4*qxY-`1>^b5S!eqi3dV;YQe+(%pFrCf*sbWCKwl@RblCp8ED*yk2)$-|vifNA z;-y^p!|3=PZOr#L=c*u^>%_db)CN!2;STww?MqvgyI6-mS$AfIsa+x})l&}VGExza zxA*omea*p+RhD#NCh6_)Z~S+^24J|u`yS%A9Y|lh_TpFXNB#JL<5sM`{#jQi@h58u zayCBE!|GBmbGj<$yvP6)zHF_6=f1vp@H$>i3xF#I*BS*7&by=dkv~3|hfiSI{~ONL zywCG?tMV+>;Ar=f)Wf~t7c^YQFyJS`_M1d%FAb;{@L!60kpAWNI5V%z z+($*4g-x@;qFf%~#PQwcvu>9@j~Fj zBcMRDkN={9qi4Kxd`Ig`T-N>5{epzf2W)B2J!FGbCZ7&}rn;_|s7$;Lz`@F4PUMr_ zR||He6!Phl?mV5UnBI*s3Jxx>+>rUK-fKt-KI9NX@9n^k%CSgKz0jPV#g685=f({$ znH;gw4CFy=FBdl4i60`r{)f`6sXgIskEhp|@}1BZ-(@4>2R$UM{fD%xbHEC{x3`Bk z3zAi!rWd#~^-#}Fs>tWVrg=WrI>(uhJMC7!82)IlcGE$ow+BHPuax12@Ih}0i9;Um^n(QhLI%^&DmSYwcV)BCd z0%TPObNOKZxd1Z-4toj589~^j-8bf&`U^~cSr$Jj)aO5!Xnx^s970vsa^25i>i<;6!q!-k!E1;Trm=Aw5nUo- z*9#Jvc_&Hz6W>Xa1>qEelaKbAepU~Hp#1YijYTin(cwFr66|;l@fSm{UyDz9v-Y5B zqzZ#0DSM>4H83H<+kYk1znmD4p?5-qb>%X?s+d6HpAA6i+TliA)IgO0yC_oZM*p-k zu)Mr#KTI8CD~EseF@d20+dw=8wck@^iJObv=Wa*DM2`q~Pr8lUc0zwzus8rQjVRM4Fg!q2D+cOOmtcuk8o zYmci(;$k>Xm^IUA{u|t1r&L$WI$xFw#qmm|U8LXG&g{f(yIV@fcUzsgWsbv`4C>$w z9xpbvT(Jn)4jL+|8E*{6PDaW(z#tcTZaYXzOFtbP?TKqAHMExbo{{)KFrN1MzO?If zipp^Rr*ZX_`=<%LUc3eirJ?Fc{L$qSeJXx8#_S#9i)OP})v_f5IQv3KJL7`&WYZw| z0Wly0Oo4Jt4(Q|~FR6WcsF(hGE)F6)NJW}r#_C^k_soe;QhtCBFs}3>!v&jXEpq?# z^c$lC7w(6#No>E|&*5BLsa%SeJibCBTPQN&!!zx)#Jhg*na#|5ElR~x)}>KI#0yms z_{qNff)1s~4x%-=CUhjLmm2(gpG~O zz+>r3aDb!2eXT^-P-59_e=ja9aQK^zC$#M+DHp(@$uEqe*h#d(BV#m7=A3z}B z5A`6V!3(G&M=D)lxneT=y5dEG%N@~!1=o>4q%1Tbib*Jr9P$;h4_=%9C{@3Ow+D%J zFvh+H(I(+d3eR@F%Yt4Or)<4yQzwLJMmYSp-PbyXNBJ5`8vkVRm=f@^5t?y2ouPC& z)NLrIYA`KZmz{-{&j3>Rtb;4t3h_pMr{5Q@Dsd$x3FE_GNw)`!*vizThA*&hfb@8( zSJ(FA=g%R~_s!_?8J2Fxnhgx&=#ICXn}R8Xm(oIICvl^HjztWOCxqWa$>Cp zSSKfS*zY;vip~Wm*zB)#xJ*qyyRie6B1BAE>9SIy_6&(<>}U^I@nID^R$Q#q!TwbL z{A7_SsJ0TgxC50g0`S3+e9#_9cDA;+A!h4y+|#2L(cEvUzaxX!SP>vHy}7yNAvJez zb+H=Lb5C$K&CRC_N1Q(qeEvF#u`T>Ql!JhNc>``PUOP_j)6?gAvgn~IGrJLE$P2XP zN1$5B)+>Jl>j~myvSzv^JR*O5|9ZQDRWhHO@P_hU84tdc6;3C6#_U-Xudo1lBGYOZ ziL-!9E#is+%|s6UUY^4J(;7?CEx}9_kVZIxaWf@=FOIe%QxJYw~O6>CPIkt@aVo-J^ePxWbn7{`v=yp%l9tJUhqy!>p5%_-8D` zs*@V_;T>H?oW;w*ffCh9EgSAVm$RoIU!CN~{JelUVUNrs`l)dIk&nS;hIg`hzCLOS z4egUmehI`jVvQ+jX&IT-^|wtAV9|usO1*OQEteX-(Df=fuTntG<1Vq$(J{hiW61nR z;JB-51Xsa*fj-G3Hc6)tSgnqmi`tNswR0@&(k*Owz)9A}@@QoA4&GqUu87rRdL7ZP zC{Ns(7C8z-@{#~-5DTvi`c!8i)ib5!6SF>C<9f)->04_nNY!5J<7ka`;2_{|yEL!f z;Kk>ddk7y!H2IE^^&n*|=*arT!p8?IA-zdbvs|3G;yLw$nuwCM9aQUZ+>!xfEg+y@ z_UZDiF4NuwugB=v_ZsyC`$f{;$~?m(e?)C7HP#tp>~f{>-&v2>M~qn=Uc!g@pv*7x zP3F?2xi@{#>Wwz64w_txSahF*+z&{6IN)*&A<`d)JZ^(^T$TL+tqHEXAu zD!riNhU`l-dOX3Zo5#CG+zDz@_%Ry!v%H=X-%fQBBsShS@%JmnknLr8J_CsTon*;q zI6(CrJOSu5>m&)|#|WK0@ZfZVl*cJ1rnbd_LYDiv$hpcqdvBS2X3;flxLeP2#0!Z@ zWSDSYJy^J-Nh1^+p#TGYt)Abd4-`qHjj@sH4fP~4 z!|!zi1Y>N*+En}(yOE&^=zx2!VU6duDYQC52t@Fc97%>h({EBjux^vLhK$MhInfV! z=D!Tt)NJ@O%6-lWC{$mksl7n)AZ}s3_{yjH;>39R&?&3y@BuP$n_qObj>k)#! zODz7#!*6n+O8i2#lPJyP_f@l(i+2it4(5p4YMLrwI+pA#nOuXlN*-AKssB6B`Y_Ox z6g8ebzW{naHZL>FU-hIK`Lvm{N~6YRwmxA=-T#NLw+zdw>()R)6p%DPP)bxnS~?^I z0Tt&3HTt~tlJYmg)5 zaZbOIYv6W{8wCs-K$clgkCH}##p5UzZHvCXkRI}}Ju51cZA?xx;!u2xdf#KssTA9d zD!L3MM|$DTP!68WbtV-@wPwNi zqMTsMUB#^T;oI33M5J$6g`=V{EAJC7>YlGZe+G)ZS~5B1_rFwg5ta}ZDe#?eHcF&+ zUnX^)m&=5z7-rs2eriS@mOi26W(d1mV{9BFUtnP@59?N(s8Z3it1ia5b4c7eOzV)2 z29KFH)b6yiasiEd271+$Q4U0zd=MIMzdhH~wbG z&AZXVN}1P{a%QzfetazWFk5e;lmHh6Q7tK9|njjdL%O~wHzXV)HFuf!aOK_9ue>-oF|*{QzqX^VJ41{nnz%2;gRrW|aoVMLHGQu{z&L9amURFD zMKeM#LU57gHp*JiJ;3W|eD%n24iCm)$=3gzIi*~Y4%4$vFEru`dZvCUleWOi#`94b zphm(nJXju3E8%C)R2Sla4^njmZh`n3T$=KU;Cw;}nq&+|?Gt8qZHye(`Tyzn%Z4MiH@ zB3;iHmD#6b6f{%uL96AO1^nR-UTqO9Bqs=fB_q&M{j+hyhS)6_T0J zP!X!!ZFrPG`WsW$iEdbE*{m7I+^O=j$hneBNjfh|s8>jsbSvUkMoX_=zy28BLSraZ z;ld^iFNnTpfXS>`@I^IChe@-b^?L^iycIu(kFB&P<*OXmR&+$7i{I)5yX7ED10Myt z?h(gf%Oi+NfWjIk#mPbnt@-iDi?C?fs|p{t5-H-EnNw^(kx&WtyfLvZuXd>6^A6Nq zUfKPrjd}|$6Gtlk9NJYnnLmJfeQYyEc4|0RkY*e7H(ahdpdbJ_f!zLfS_Ymqj=JkTnB$=gy&@s14(%65N4rOuH_D14#_f=D4!t zwZ+J!8UUt*KyYvXC@~NNT8FTM@ZjMufBqa%Sp|DABy`ci?g0M+23DZWjg<=^cnQe; zqLyQI#(DpebafXR?Vp$B!=fTeY>=9+w-eNvNO=`Yp?wVvO3C|cRTxLmDME^2sY-_e zk-xHl?8an3E$Lh1qw(YO0)m7^dHhzyoV02++W z9n=E~26qcHW5R$ngogzqI{%7H8-DrQ=_uLP9gV?`h zv4ZJ727ju`2T;)W$%Wkv-#)Qrg%nstKm|4{k09Hp{3%g5F`E}k>qGkrx}H+(y^--r zbWVmwmJnk$QeX)0Ku$M@*U>r_79nNb=xBLE2O|?#uFWWQ-*Ve|Fr^FUNjQEsy4~28 zUKmq(f+c*PV1_2L_|J5|$OBp?vI`AUn6;#5GY+Rw`khR2x||!;0>5(C zG<&+`K9~=pM!LsyHAsEN|DS1?pijBywH66@~_1{IDvVV934WEO0dJFBgM(Cev0>Wf@0mq8{ z3#SMDm1=p$_(1f#gDmHvq@?QMb>qC6-{dZH^6#c22eLFl&EX_4y(@ou@iTZlon&jGjG&=6<;@s9_ ztw8dU^8Y-*jf(G!Sj*ySS`v!Ht!lF*+xV?badCV1r{lLB6ZV<|68*-&$bQRJzxTQ= z&Rv{C_SNiIVRlbcd7XcF%#-JTMqfeY_<*dZxyuOs6FtuN&CSogFJJC~l9N$K z6?L6#$LQW^sxMJwjd)V*Rqe7-Nd+$p;xDBQ>z_<08k4=5lQsT+pJd|-v5UH zkQDKrCi!z2K13ekNa9?ZU3bU$u?tnB84_zYjgoQ36~%)VvmhHeoAKDz7VL{f_`Afx zyz2MuOh#@6E#sO-F|kjfhs3^z|F={p=-H6-Vz!Fm|D6}NXT3N77;rydGQA_G&QI~l z=~qNwY1lU0za#kfsYYKtxC&=CKKmQ?bvd`Sj+G7@sk{dvEa@)?EsUXAL}CL?Id4=P z?`UciT1h{6{odg*;NqTfZ_7ReE&k(?mjM}HU6%RQRR_(WTEX&pv^FshfCO zUrx56(8Kr>$832nmjTW?Bn@2XcuTRzj0-rKQ&Ju)@?nMc%cY#J6_PJ{zZs|3o)g%8 z(Z6Q+R1-j|2M2?<&?L648oI@XCub(fZ)2Ec+{BFx4G8l>V<0`k+lp^^7mS;bgXjqJYyNIFJkbGEb=Scd?+lad@M0}ccgdae(&;gOdhJKx!g>%>X#Qd zO*_5M68w$4C{g9Q1ll>MBQvEcyTZ|`qKfwg^j#Ir_}MFo@Ajg>3fE<`>s8&|k>dc} zO)&5DC8wy>2ciFe=zoCgVA#t1{9_T3D&kY*d+krA$8q%y=@w7zBD2?;&pTdLA9h|Z zL^aXh7spt|Y@HV#pRXxSq7M&OV%g(1Y7P&w$)v|=DWuBkvWv17@T{-A8kN-HeM$hT zhlm?VsG5&62yjxy}F*AlrSh>WrJ&q45@o4Z-*EK{S-B@N8P{%+5?BBCw z9u!w6Zme~$EmjnWt8NRJm|m&Pt(Dr}>EuDP$6o%mHI{SU?SjDfB}S-JpxetfYPsfl zvTt$@gO%b%)?fNMA`#c{PsAtIdspVB^}m`eFYR4Z6T%FV@l|DetAmpf$X^0QR$3I` z7$_7}$ z4hi0|L&ak{K%GN$R1H+}XlHeG!`tFNF;nb{8AJ5!AF;Q-_1<2RmDfWxuC>_du>>|~ z>y6yN?&2?Dhu`TWr8ztT4 zHvOp+lZyi-@OdQI&3o%y1?Ve;1v$fPH2jVHTL;&7lxz1RioT7^k$ENuGp0v-9WUx0 zE$W`0n*as!4Co(F#96powyBTb@kH|g33d?k-=b6YZs+Tfvwi(RU z26y<{KZCzqTfBA47O--1VV&&@+A3K(($J1us=Y^wgrO@kR&{#pN_=q`q-_#_b7t!+ zb8P|-0*2Boj7Z|)M7NdVbe&lDCt#a*2_CvW%=6npVvgdFIC2YC)2f{FO#&;|2guiU zMzlcTZn!nq1tS)quQ!C96+XRMg1<{iQl7~3sitOzjb}AbJaK06QFf^I^=d3CG&ZLd zEjU2y;Z#$xnw>7X{q$hh(Y{`y>Nlefu^F**v3XIs`Bn393(cT&UKLon5@PFo*oy>V zj=lvamcopFm)ctaSC*8Nyh=h6sFH33YF#+zyVF%!p%Cv}+(ug(%70V;h9nOtYna*f z5FsixePMfBG7b(bZz57$>@}MZ=KEyO$btSC9KX|`YAm1PlFZ#|)yNC& z>Gnq(>C3-(Jk0ecg4hk*hUGE16zz5mPPOBMfrU}TwL`D7J92*uX;XSnzNsD^KKts6 z-afHS2`x1@h3kUpf~VhWTZqK6EOM&gW7tW zTiiF7?jS-rOTUVaN4#+FbhE$3Mp#pN&D3+AiPxJ$dk1=D48|)^8^viB7sr*Ggblnf z;~35>kXO=CN=Bv0bq(;~c{zD8s;W64UWbnRn|NrN1s3|h-cd)z@x&6VSO`})0(cu9 zyT18ix_)@r&OB<3F{Em9*U?04{857hm!$5qFTeC^`W3~z3rjayu~X^S8qd8-L=UQelt5dnGvcdTMA&mPva5A*rll#wDol-c1;#d1FcliUUG6NS-d0*#7~N>uYR!G zQ9dlL&3EEsDq?{aF*U&zC;O>eY4(f53+nqcW&7IfrJ*zDI#ZSDvqnad#;M<<;K|op zosGUCREzzVR{`uiPR{l!o^dFYoCpc6K0X*vhd0oeo`-&H2E$QX=@Q+i&O|5JrS}+( z31%ptnKu}Fb__g8pw61o`ebs6ho?CDtvul!vT!Cv7wT@=_Flem;|a`MO>VKlX)mIG3D>zON8}%VL{wmGVJy{ftvwO3{7j#m_VMQX-@H&sbe|>3)AfbmX>H=H=hYX>hogc}_Ex@GR)(tNmzbhkD+kzT2J(aE2(na$F*ay)`woTbK=`ZWUiUnS|t3~5t5E)39FBJYV0Ehqw*Vg$@mMHAh}rh1edPQ{O_vbt++oDAh{qt)#UwHvB5BBciAFLI3#E9S zkyZtk$4HSaLS26MBm?dttjTctyO!_2a`Av2hhyNy0#AXV#iU{N>!4}M8?py}+n>Ga z&|EoJUZ*zXX>>3%F&cI^o$pIIws|~2xQTC4w8H|m%FC?Mtlo;y1@;@k?%Tbp2-BIS z#9&`<#I!em6SSFVKXC~sw%^Bhac|hE1#=tGd#_UZ_@*;uxyk&*Gj~cKJ2iphFbkw9 z#r7hJ00M!ISAVMRHGmOh-k&~wV$_LEOq7K|PB}R_S2{cXp$E!#C3E)mYulXKX7#o_ z`DB7*+eu#C=vxGfzJ;30g+hu%{^tzPX&SDSjh3%F?K%yRuK-f@JI_S6XF{< z`q+U`bX*NP!108;{TshTkQzTHd1>ZFNX>7zi6!(-=c;9@2eN|-DggB(#jO;fZD?pH z3VPaJjU11r4>a6A5FuxFeB1{+i?)I0$hU3eO#)iBTFJjVGvuA11y8l!3sza}{SO5- zIl#lpsPbb1nGloHNI4A<-h&JkMMHYju`a>7*fUJD_xSEe>%;%BXL3}F;1oN370Z|4 zC{``tC(q&;_adt1BZXz3p`y9G+{5x?ivbFUqL=PsLSBX^?U9PHeDCrqpRp9-5XY0* zf7b0j86on#ik{%W`|cdj_p|W3^@i;FY-+Rht3r`2u`pXaLigp93)6=Z?9U&Om5p%q zyTrUDR)XDht#GQvWPZYyTR;Q%&Hc$TZxjA;r#R;d#gw5P@*rqts zDq;_<|NgiH+-;%7;0F-9BRW{5S1WN`b{%zt5@Sg&8aX44;Eb%}D20C$O`$$~mn%Xg z?#9lW>{5;Z0#7U1ur*;VO6RWPfz_ zK7PyMFCR8zzP;Y8%OFjcA4hnKmit>kmIF0`u68Y?bV$VDn!#jP|sk$Ip#Q&~){^LZQ6xh_AX@>og{awwEej_}h@PY$qLQ7lrl-G6`VSA;Nfy#Nocg{!W}GYy ztX4bk^FDHaR@#*p=}j&<{sI1vnK>9D(UtcPU>3|vUtg%D?Sg`XXJ8mo(Nd94Rx0$7 z1PBJZKp-yvsP}93Oph`0C0aBM2H91tRE+feF-E=&J6{&l9tV3bE5?CbBizDqTPzwH z8s~?81}}EMI<;KVDNemQ`Cu%BrK6yg_L1|2g7%y;E57p*tQW>HLo%dbiyMWld9^oP zHGdV#C4YPdTPry1oL&3YseORDGHKkNx8Tcpp~R@I zYD?MV;y&n{t~)MTh7*xoPFsF}@+xcZE_8TipE#S=>rmET#!I3yiu;X>Da$(MoS3n1 z!`Ja7_|(#-uj8=7>eG5Gq2I7CR}md{fsP@>&Gi2K)xJQ_%g6JBMI;F~ z_T_$l@1p}KSHL>;$Cp>$k)y?j{!Y#YTGlZ9H`dXQh8|2iU5&dFi#^cJpAYPer zJb(3?f1xG?Re&YN8`XyOjzdW~EBag6Myj*S2SJj7KO3bL31?BOnmEGuF&my?n_UDf zcVN5l4Ke)LLgcUmML5i5KMy46?VC40J=uL4!}%H*!l5E)5HDpirQQhyA$2aiR00&m zciv2uZ}WZG0TEl`i+tp2KTR*gfrBuSwIgM-GPWN+3PeIkuzqqrx1-Wij>NTI&~oC($*iLL78=(4AJ z#-3$y7rT}(5_})RT4u?ZBmY58*vPG+v-`%s+S;3m5+LKL`yi4t%Rl(QtP0;JstUn} ziehSV&z-a$gfXXbZ}u0Lea6#-B~|tl zIy>daQ~;5yxqiJ_YS6)zM3bF6kI{|JXf`*Z&%$1KcbUe z6Mpg3ZoVUFrWqPn*WH!2?9XE4+6l|iZ?p9oEWE}yO4^p$HUOP}VXBVwD^YMT>y*2G z?lntykVRT{J{T%wl~?&F8%ik%%%q@?kApjl*W`7zd)Govja>vMl#7gL(-y07w&7RJ zo_?hdnwq=iXE3+z3T$rIyuGr{1zort_5V2{uE7!U;O`MJ7CblJbEP@oXGp4#?Q)-@ z75ip=BmEwdQ~yF$_qsPQpSJ9#t)xL$@<;<`wWG)4TR@|EXSD5=QsgyWTF z^GEVT(B}uWJl%6P#on^5oEo3W;qX5K9)!SH$&4DnRHRBahq23Y-uf3boe5a@;vM9Kt<-{ivzG8&oq{CWdSd@Tq>#)F}2hM$Q27 zk*BAxd;qQT)}Rp!GXIVUpuao?@wSYF&g1&^S9;bB65=o13TgM;N)5OfnMNJs#K}Sx zRIF&LhJ)`q+21TNFep=?`~zcsZV3rhSY=@->R>J=2F6oq>J*l?{I*+BZVcQ2z$%*o zx@w^Ev%I>*5f>rgeROn<62!&V{wlas0n&S3qQspz)Y|v9EsmK_)3&{TGzz3#Pb*)c z+duET5WK{wZT^4YUnZ@;@b47G^8RyKOt%mex{X0BW|_UJhjp+nqD+XmsNsQk`vrINBNrDw%dDp1XHHg+erpa=J>6 zVbc|uXP6_^4l_=hY{X%kpO%>m&D)2=%g};0ojz}>2zn%WeUJHZd$iFT4vpH&EAV+l zTHZxDPcDwqYu#vNEwcGhXF3IfMfA1x&b8KTM|*R>I(4Tq_3pdsj+1o36B{^ESw2ysQu1sqX&R!CZ(p3(W)I|JPV`EV?x;X^jNWn7x*c znXdrp*EU3bZkz_V#P~MnlHTBW*#phPegK`4+HDTJA^NYQIf5~o*LKPX1#VS1G{TT2 zm_)#<=pK-PT+srLfXMm$E)xC0Q3^?36X!TVX+~};apUa-ULLVXT3cZxYUm;l##>m2>_vbkz`A+oPTlj! zHc(j~Bn_ywwl7gwH0=e~b-xa0oFPVOVCAPk-;K17pJi`jsoZ7ZO=dLGR*=YF0Uzzd zG5+YE`K!MjM;1pqQ(U{-OYSd%ThNI~Jo=EReV*6+@dtA195mPVAlGv~8m|RValm7j> zj3H|%lm1CPcdF;*9a?zh{Fb%6gN|qly z)$CizO}`R2UL#;u$kK9nxN5t;)zq*b)D)fY^1!4+q4u@tQ+CfU>%jI)g{*JlpBH~@ zjrdlkX~;%hL21EnbMQScJGkC8B-7bBJ8;z`>;#e3qK#^&JH0s|aphzYR8?4hs?H~melpDUc43ORh4yOK}!pFBUlkj^=98J@2 zKWTYtA^0M)=nvD$ebO0rdLFsrrIP4aDkqL=K_rc@;`pR=r$5un4!5qe!w3& zwWOp_sVfpickOeR>6(4FjhiY774hU%oazjw!#Gv*Fh1h*=GB^gvdFt}gLh-Tk-`cS zIWZ$(L5~7UO5Vy>HLDoA&#~!bZ&VUwN3BCWGV(?EIF{g(wvE8W8JQ|ID`U3>KJKL! z@Ro^W>``pMl?A~;KZaj`@d8`_ z0?XyjM(FoJbaK|KmPoZf=T!C*OY1dbycPm0y(I1bn_Y5>FD`)0gA}Q=o;G2qCi(*h zF$$!*#rKYAksbz!>#j7KaDkX4`a6lgFT=VFKFn*n`$Ov^Yfp#ooQ!^*Jwd9$L%n>V zFZ2I^=m;JgaC!!fdg9%R?Lm)_0uj&0i))z1fY^UFvXR#X&J-3ifDQ z78{S4tr6t9AUd=KtO$kC*CPbiV7~{fe6Yy&HYnsl>Z~+h0YNKZgnI-?bugnng=={N z^y&8e@fKoq4=MhKw=zT%DW=y-%RbKm>UEBTvWKA!f~=*dekZ)hcMfYGxM{`^w^EmG zI;J3WX{_G>RgLsI(7!9DhbEFwyDGqAu#U#$eY~!QEelj54=8F#hxp!Fy{9(q$tQCa zG-@V-(R~yz#YELgX6ce#w{KPrm#;`0>@DLDY{kqhCWK97WmT)WpZuw}j%fE9Ul9UB zkZYP?Isgp%;)qL%<&!QOpu*5*@w#rMB}>_=pLzDvqW@vF^g%Bkvz-bMGl1kNYdiii z+&~jks~(`d(A>@zojBJ!P?{0C`fnSH)QPwTY}Y7GKM%DQ(`tNeCk|Jhqp!=|*rCkQ zikkkcUxgq1YMxw%%94J?$}Bx!T|uD+95Jo1yyv@;1A7w|l?vL=Y=^*OwJCnOL$&iC zt;>W;Bp(XVy6ksCRjU<^sEa@`mZ4clOG8uNWmLpuas+;UC0+1M0rZXS+ho&b9n`sEbJ7i zIq9}|)IODUb)UGA%Z%7V!~aV6-M2nGoDKag2bB$AJS*O87nmO|WQ817l~IEEVc{Qm zsKVB=`*FTBZx8)6PGG0K#6A04a4yL)ZvEWA9^P=DFG7{!FGs*FyF?#{V)^<~-1 zAG#mY3cxWB*$TA*9_mX^TB_Yo3iF;^029~id7}0Sg5ZlA+u7>)07{HN&N?W_V3JEC z%zrcOO7d?TvP+A9Gm+X9nRQr+=R5u`!4?WelQXy&i4o{A0fr>!$bbt6g?7L$XqLY{ z%kXA_5fV}tC-Y!6Y@)jINTnkZqn%!1-%L^D7325sqOWS1%?E$`3&8xL)(_3fVuk1` zsZo4Xscn}=Z_GD5nT#Bj!VFOc3civgg2Afe19Z81+@GZD09?$k7Kfu z>eNKN1MS?OY3YVX#Dae&WbY3XHx<9sw=N}Hnc-idA2)}SxbSnvZ-7(C2b#iM@ZCWq z`5q`2i}z<^m-{NTX*|%)=`<=<4$13U|LeDV)Ps_M@=5(tMr6&ydL(!*&QZwnfw~Wk zJBhK*m72UD_Pcjkix)g@aDHUd-aguPE_LhQ(~)isI_jx|X!E`(wds(lxa)qQ;ViG-h6N_GL1rs-|NmvGB1~19nG_ulP z!)DY!TW#9Yew6^8z8zG*uU@~lwZB_nYlF{3g%NbIL>Q-5_=36@aP!F-YhAS;abduxW&QHv&+ijuqd6qLA9A< zJ1ud8$7*Trg9U1?BYTSyR9UI(Y#Zi?@syf@*FYo+JbT`$sdRu;hOmfX$3EdL&S?gf zxY#&8EyiNV@uO5s?M${if?@34GgKDZ6Pb>chV%#Zw59ylf{jwIX4>MRQ6J*ho3 zNY;t8(GlbG$Ap)8H7c&HBJA&;DW4$<&#B$pF?enJMZ0bmZP@ETO4nDAKrpqk(yr@u ztn3t+pW0CU`!XDX`kZg~o}6*qsdWDlYCV+xyJK>V5gwUwGT;Y$+)!=D6{f0z6^6ZS z<*hM8UK_!xqNegICG6r4>BGs~3mXCEtIupUsrO0_`Ljj)lUeU=Eczfj`K@&|mf6ip zE@g(fu3LT|W%ThDIzNg~5jI|PrGN{Qq;&E7YkB8EqTdB~N2cd;Ev5%(_huad#d372 z9U!&|b|42pu16M5>A20?V3|z|c**XOQR9-PN-upJt6jjWc{{P8=$rOp;$vY#;ef)D zH?RxbWxFQ#jH!BflnnUs)X`_{*NMrR2Vd;r0sDs-)Qi7utRTcOm+mcxi(r z=sU*Tu`V!>c^_uMcbalCX_x$53E13fTdNdco-AvlU^D*P098=vR#iYhOs^0 zY^kwRX7ZsE&h1-ujXugMiJ-=VIcA8=>z^7A2E)!E&!dhiGQsYj74~K9({+G=C;1n& zMG_&lLNb)n;p_r7GA9>M#DC4NlV*_5<4DzF1mC)+fPFyC@8LXg63urB3mw88F$M5B;vf3S=jLf0L~X}D#|cfKJD-Kn2+@+JatPy9sJ&g$1Z zj)tU?KeIY+RL?*qw!Vvf6SiE?BlV8qmgQKJo~#t8t84Sp<*83*h3&&ue`~Vp`9@GP zLpvAV+MN;uQZa!*JFzft{(H=yz(t98y+E6izOoZ%vJ#LLAgYf3kigH)3vGV_N(Mh% z$TOlOGCWm&=YJ{l@mB@gR7c*kO%3s{N}XhU!y*!&w24f>KV))?NbFLTd4s)SYhu&L z_6$zbd>1ye{KeDzu#{oRi$kN1{_5@9JM8SgtCa^I?da^WW8(3fjuD=$-*ztQ<3tS0 zQ|CZ@4{CNu_5hv?UjzbbGZLa=W2OG$vnpva*pn8RJY+Rdhr+3?T8_tWzKvjc$Z@EL zC9w!N7QBN!0*-b&_SB-OqO4Rhu*p3$McKIK<5f#fyEAU|hbPgOt<~VVZ*@t6m*6cN zy8I<~hWX<0K+*G@l5-h%Hv>bqKRyI`;JlV15CirMy2Se@d($c&R;H$D%87J-HU!4? zet<(68TAv+F(?72{VZ9hp+jt}wVx~6rM`~NBu`)W+TB!KD5gu&=lcsT-;1v;%5lKB zKe{-UFc6f)1_?^QxC$aez{xe=F~k{}(*>!#)89BvuZnh^zfQGi`7_M15<&c#V z)tfksSdD}gu_x7N^Ip3MppqE7FE3pewRO2{L@Om%=`2%%)6!}5*Ol5`E>9TP!}w!W z%f~0U>8xaTf1(N{XY#G@${5H=uUjgy=gPmFRSxbhf3TiF92{B|h&n(mb(LHzA~;Uq zoGxBK633-J3h`Lb1_@U6uVbAK?Z)b32z_>WkL3?(e{O7`2xx%g=t$9J5a<6Fr67*6OYB|}M+P2qY z3F2tsuz|La<%nDH+b5GZm!9zl+DRQsoIh~pg`7?hbwKuVMB$h#u6L-=!7EU;G$YIC zKR(~&_O&(Iwf9}Nu**Y?#irco@)KTG2snVH1mwlzr%w$*{B)(qKTV7~{?PRuFCnh(qE%C#!1@ z?NiwT?D3L)ypD$sT_GWcc=8BHtgO<>`>UkxLcgxGlR0{0P17KTnKZ=(cM-682ms!Y zmg(CKpd>#j<(9cXfI6ZX9j(ww)%kxcskQztHq1Yy6SfLj;+>BsOH#0`eDS zMNI{qZEo*zy*NXr{giw6y*+b)rh^8477^~KytDp=T3)u6H)ct8nie`rKK2M$SLIgA@(|Gyb-s@<`Br=hEwUmpBf(95)I%s>Ph>R zNs?;Z@{~_1z44a03ygW{)bkH1Z4Yw??Qg~&Ju?6l23@Dl9_Mz79q)3D(f4yzpxLil zE*uYujU_Y7FM)I6B~wfGPMH$6+4GAibZK(!2&C=5%0h*JTw0e)0ICJ+&>d!G{0tRb z5l>GcxEfFg`bO!vezRJ|VtgpLp7^I@ATjJMVyzP|zlB>-%m%pK$8RP`iMG-)`(sSb zmSv#dx0>R{)o#8xmbRC2=``WG**24+hC=&OeTvbp9NVO!m}etq2u{6s>m6??bP;`trE zmrj<=k-J~VM-e;_QIzU%k^6!u(Xpv5n!jQk#PQh;fMuHIO%=K-`2jCv`#{*}FPIzl zl|&nx#DN!Dp4DUQGs|PzS_S;RlB9&yJvgh8Q)K(8e!Z=%6Bh^%ku4SQ8SlVYzm4>L zm<@&urb2TDjgJc?M^R|L%OFB&)a*wauHizS5+s(kRYLCO;xM5f7e6IR0U5O-Z; z_g629!FpuR0^t+B2>8YFjN4w=h;u7^Ak?j|nlGOi9$^0=_%rzLk1y4H9lv}53rlz1 z8TM2p_8j6?95Wwb>*Ip2kWaukOfyD|6_$G)j+h5NIwLBW|iUF)|hrC0KuTr^K z z0UlTa5xA=dC&sY)?yuKfRmGd@*PPMDo^%&FHou5vM>w%K+ae{OH8s65J@=t*oG2nP zZ-4DNy!>a9W(2f$GnF0ju@~;a@B0e)U0zt7uVTOtlKI1B0{& znc)%|WbUz1-f*z_`}u1lBt2|E;<7GKExmsI`e`(~KkP#vVq%(M>YZZFJAx_@l?>#Y zM`18t6IJR*a=~akC>WH=I?Zt|dtQdUAx;%yh8o|WHO}xK(&jc|6oeZf#S8#lepoI7 z+07-?5EKAmub|6RuSxLj!3Ics&P<(~3XkyEYW7!d8JFn8Ajr5#G#WP@y%U$Z&xrh1UDvaN^q2fZEs0 z6W6f`>mKaQEVdws#kS9r;vrsJl3d6ngxKO=ZEZ7o9YR3Bqj`hybsgg8k`%tdF$9te zNXKDp?|1qipzSCgJ2edG4%|v1sRZg!Bo6_^=ni?PP6;CM2dWldidy|b0|P{;c5j>> zN4MfUZrp@JMZCrb(9gHTsG4)-uU3d8o}z4q0`^-@Z!_*gv{NHUqL2)ZL5OVum63z} z;{tsqfAE9<h$~LEP-8p^Zf%&csvo z`|`UDj-taFjK$CUZD%#aL&2%HE@|yp_O=dZ$X*h?d-xW*Z6nXb;z~=6<`~@w&q$Y1 zu^$k6ue4(xe(PdiI-2qtVSQ-I>Vyv%cCz&%rmDL{^ZYqDqb^6qNzaO-kB_$mYw~l_ z0)!)|aeg}Go3BsTMTBODfEt6pb|NHtcEOaF)psU&@|OmPJPy4Au3=Chhs7(`1_UJQ z0LH3EP&hT~_R1b+Pg?Ylc?rk>h5)l6sTd2c`C5JS61VY5i*y+{QLc@R=iT~}*n0QY z-|qN#JCVu=_@4k$#7DY#rF2Z^qTcFHa}Sa9I7rWa(_}aWBJ)46Q)R?Xju`qyOm_s@ zvFZf4G(vm#SCqkS{6)9=<>a2-aeV%P zCQjGnX?PME!^a$ZLc*Qy+?loO1jY-D?WN{Q5K2W2wdP!Z0reQA!$H4a_rC!T;FGo+ z_t-_k3$cPFpuhXk0TGR>fnw%=6B3s%ok`3@dGVt>QCuJ{6Wae1mYx7<8yHM(iK!_m zh#@NFY4kHBU7*({^AEY5V|&Awk8^-uzR!^4E4dT(Hv@4#ND!r(L@#H?nP;eogLWf7 zNQYSraMt!JvKz|JLrStUf%f?gvUm{GRHG8Tba-lu2hWcSo+Bxsv-te>Y&V9iFjg=Iy(>r`J?lq|HmCJT^ccCUcYJ3cFE5EDezMg?kuhMPi zoz8I$TJ!v4dCV44f9Btb8+mnutNWl8db!pv8a`&Ii0SO!@I`30ej{)3Qe@TW$)F9w zqdn*GL+MjmE(jrzh%!YDjVHkNUWbs`WT{+yaUX|Mzq$^QuL1JoB3RKCw~(e0(PqNf z1_tfa{zaH(VE{ESHynHN6o>66^(IY;=hkdeCFh5-W0e!L{%?+I|D3O&Td~|Kq(Vtu z>fk#aAGswnb1j+mZlP;zMS_D(W?tCv&*xWb0|`@q{tSoYG&@wh6Vgq|5$)}(4{TqA zxW)=^ndyJ;vq$UJ8P5;pIM|UPhBhiLyPAIo*a|A+`m+F z)Brr};iT$O;Y}OMjZHTr@s9RWX{t=%ur zUlB@+xtm^F5QCh>)huC9A$``U9Z^P1rRNME@Rkmhxo|*uKOKTAL!c?7fu18IB$SLY z@(4OdmQoc$$egu$!ed`Pp2LO6I$5e{&K+#bv@lkLgoc`c_RnIZ=yJr9`ghdI!wEFB zv;mL@dWDqKG@af5lCmK^>kL%ZNvz%74B5n|ODAu8T?-1o#@%*&e&wq~w-Jhc^NI6n zlo->HbNJwNsqzwrl_juDnreLH$5WR)845q%s?8U3PDWz|tRRtavVz#B?D?x*;zB_I zRk;SYO7icH@sQlezy0cEi7}A2Bc6xL$T*0_jKW+nm)sXzoH+6l_X%dLPQ+!-3S{+J z3FR%Ig}bN`FIr+)0SovoYU*>-S->XOzEu+q0Nye$061J_A- zxmw8CMag==1ssf}WBb9thC1v%z>-U^>Xxo0WF-h^?p;EHfE<^H_ z`y4$CT-GC7*W$?>bDHha$rO|s)=Fd^am5n16W?H=3QAC{`!@1{ap$-0k-HT3ZuuQQ z9^7^6`vYXGPK)iwnJa-;SI5S~=*fa_UQ#X4t3HQ>%l2hzgB-Rnxg{qUhD=FksaI5N z3(g(>5NkQRqI%@Kz_a~Js`P)bHzrJ^JH_&D6p+r=;Kfpl3V#gv{*22&&^btg6{ay_ zOB0(8y5!l!Fz-@N`gS&5NG#)J_NPs;F4nC8c)!vwJ=SdU#$_TsG`MDC24Z6*?n>u()u{`xWLInkdapN>tq@qOt6 z;riG4{mD7$mu0qv2H06aNR080ajyF?@wH!z{}LH#YKNAoA?zEOl?*lW z)?%k>jeSTKs*(@ldDy(?2`LH4bn1Ke);~-m6$yMcNci;waAG~_V8v0@WBMd5r%x@w}%|D!VcC>=3bcG|+W z#uXTjWRdp}L#JwBV1U$kpv6!fc_E$JontY`4jRZtBzqV5j3sXd|FlY#)F014S`APz zhil{Ss^J5>M33*q3;W|uIukV-kf4MJyddpC$m3uQrh`ncuCC7In*G0YM9LKvE;sNz zlXF$iT-aPw{L|c7dJt<1LoFdaBr|;_kdl=27epX{7LuBV#vh9L!)tdR3PytW5fZ7% zy)SChcI7;vi~V`^Z;EYiFeU?&T^`LRTytKV2{b@rXMvmETIhYVz1Uy6GO`)Iz1Bvd z$5fp=GBK{|v^RXkj~VkZ;~oREvC#^3OoF}qj477a%&^xEr2V=vDo|kkrM2x^J|M)!yJK#AZaYkfjsuEh$bRK3`4MxsscM^FDtu`=q}Od@3Kz9My+7Tl%&0e|8#+U zaF%*+$4dHpenzy$1)Y@}R;xpG0m`orL^D+K?B^A%fb4{}0Goio(f%=4;qIHw+M)C- z?KxT|OabM(L%E1HJ4pv}gLT4qL^Lw`5D5nhvBw0u{BQuFLAwJdp zfj154IzNVEn>H*PSqG`gA>0^Fs}~?>-*b7~QJhu`5i|EpJ8#M)+;95%ynCS7j?OG! z%4^nAUPZ0+5dT7?;P0~=MG_yuTp?j^&j}4{|7Zguki)yq?guY?_!~dtCcMCqGbioJzZ>w^ule}4mPwz>76=ArV$|2qN_I>B#fZ8j23XpOqRMl6%!O(kGTGWTHZXT z`t1W>&(PP=KZ^UU+ND(9jhF?`&oQtkFsC&c>>42~sG(;3sDKx~6&qTB-O29z%bo1* zZ;m}+vmyo{h2AWa;&-n%PD4h)2=dk;U1Gs0zdJ=bU4ggq3Xq!veN8W~GL4j@c?0wI zI^=DRR4HRY;zXn1^)%(R*^il=xZC+srAeO65DNsDM!rUHX{i8=S%QUHQt|@hOG7;2 z%(yOfc&HFnb21Czj90%a>B#QYzX>x~tdtv`o^?T`g*0)6lxA(KAh<-V>inNV$#~kk zXtcV)6-5dGYY>76CPxT$ha(W<5_mI#xPjqMZz%1 zQu@$ofC?fV(v5U?i-6J`O1dNt-5uZTv86dYHNyLjb($?v8|EZ$!(476 z{?Rj^?lY(mY1`idHin2~33OrlP_W$vF9r~7?TvjP@B;e0-ynGp%(4;3Q0db^8 zyiVzjf)@r8%lNOzU!!X)Zb4{PD{FS(F8yG`+tGMW7b@6>%DE;+uhW{1rhKmfom~mA zR6q@P6Fwa%(Pn|^tCA2s$?V)Lv%%c4$6dw{JofBJ;n;puq;u!mCnunBWjTm)-q%ty z4a1*+p`OjK8T80z=+zc1_C^|;VLYa&6}TS}(PxM;fD`%h6`P}5Rlt9#4C>mJw$9_8mUmD1cZn+GR(^^u)yXKbUHNt=P7#vq%{%P5zow5gFm-DsCBe5ya zf)`nm#&8}uB%jV>9zz%&&R@+Bw`*hx^L#2O+`M@4;tvq?LP%=>o4L?zsPBG5_!ob> zTfsSdS_~u=FmG=n6_CX|TLCjc1ih% z@1LjkQKK^2XMy8oSzn=`&dzwJCbIhvYMcW|*=!nZ6BXmabOy<`C4^+oEm>xs|n+^sY$4p}H(!;uBE`;*B zbB+<`X;mT~^brpw>nI8@4VMLh1Bs3k!GroYAQyY@O38I?;!jF*%zEH(vrV;c$4;={ z+nFP}V1$msHVSrj?X)_tyo^l6jKa}{3Frx1@}33fU}^vDyNl{Cl%BSZar!ML+@o~l zegOh5MvE6Oe~o5*HIrV0b9E&3n*GijlMOEMBXS_62PQ-)slta0LcZC{6l+Ognr4#h zV=V>?l>uey0lmja1HPgkkL{z9hR0Uh+RvD{xp&g*hvKbcjv8(q{s?^oP%hjqdBB-o z`{0Hf>|b?PH8nMI;JfTi&&kcr)$I4#$1LFK0kp@$!aPprOHssaUsSaMD^m-(l?ql*_1Q z?SCkZfztSAwx~Ne9VmBlGX>_z5)J4*nfI;&dbqpye)*I%+11O^UU+_Pff-arzw$4S z!vzM{-tY7p3#RbqiCv43_{v@FY2H|`PW_&}n04GZt9iZO$Wh6~OLgT2H1EY0w+tM! z(`N>&cRDWJm5oqYiirh9h%>}Dj1s*+WbmiROdb8S$GzI+M2Z(NIBPf^w43-wzOAlX zr>$~r4@4;iH;P=n};}ciHe%mF+PsQRK$7Y$C*Ogm>{q zu5SVPJjp=vh~9DYU!dg0b=Zn&FC-%Q-|G!_S0@gEk7M`Xpa6>0pcPZK;$wttNc>@K zx{PRAx%u)ITl!mIrTg=@Ox?PQ1dr9lFTWwe@-8H>_xNY6 zQ+7G@h4i0dIEj3lw>R`j4Cca*j@)pl=X36qD~BTdBaDImyF zYXQe0+v)i6%6<`f;FTYv)jX?u+cB~~fbtH>x~xoCY;f6}Cw!_G@gaV=73i`a7+ab~ zmN3r8qR~pAv@4>meFNCbk!Jg0RJUxe^QVE+^u=o1!4%Qi0<%;v&P`J_K57w(vnpBU zMv4bM@pTyE@gZrIIjF8kZ26vt5cEO$d+!ECv3ihTr)R3O~hRy==KDFdr z76qBZtzTYCMRkQ;9;gk|NaRaY8?q?DS9B*OC$|Q_5Q+nzm6%fG^|ndPWD4Lf3xyd;&*6QphGD|8+Ngoisc#BcH2FGDOG^~A*O zJk7ErjmLenCTklpvU(X7fKGu}DSzdakejY~Yefmao9<=H4`v9}5Lm{q)Pl`za3e4I zv>EU?3I)?VbM#aY`hix?rn()E<*!zo>cMqw@Fx54;RB)@mO)}$@)7xH&@6+@XZF=j z^=xe^ZS5#LrYn<5eDA-Ol+;K8b7PFJ^P1oG&QS75FOUl!Eh~RlSG!NaJ-sRV@>RmXPbv*uT=s#9Igmi}JGijL(9K?Mmk zFd}-(fq_4OTM1&RJO4s`;K!{;$d)w6JSQ;yTFJ<0fgU-?YN}D^GMZjC;wOY8Nd!7P z+R&-y$Zu#<{P&)$OXTW{jx;+BQr7!|VV=S?r^bKJ6%Y5M#3Osur_1OsfW5Cl!^mYH zlPUlWEMa=Dxa!k{nMEB%45oQIYJHrV6YpSc_K%q;t~mK?u-rpm@)I-Plo!qgO!?CaNNNJh=_@a zO-mJAlQVhVnzi>c2J zqw+2k9%1{HkH_wE4_3CJA6&U|QWZ@*fL}Xw1dm+@gF}dSzBk?y8r1-r*TceIfRibokmh$ z7}#&wU$$_7B-Yf>h-sMPEbz?EH`jcUZ@&v!`4hQCnP>hbZ9`;RA0f*EJzg^lIW>(V zBhewTl?^(VG%TOv&&jLm&RxS9NcH-*7`PED=cBMn)X z-UzRnVu3fg{@7 zRtZ9_GvY$hlj1+Hi<8!s+x^XHq>_tD`gSRRcYMNLQGQRsa>p7~gxo6^)$icyd~%vW zs%sv#yCKxlyz{Cq!>(^eXMh5yvUr`16#vPlN%ODKwm0z5DdeG=UfC;pxaCvdJxUJh zg!!Dh9mhXy#Jhxl0Mb9`u_XlBzaHA_=>CG`Kl0xd)?VbKaco(DXK+FK%hMyh+u~l< zKc>dLL{^@l*=9|J);&1)zeH?w@%-s)!G*<*_%#l8sh$=UuIkz^&_Y&GP`pELtKSj7bWwIW)gs4NuCSrICY zFJ|2BtV^t;4#C1-W9qwQ+aSz3yA>o}CPoI&y`$;Wyu5Q=D zUZ4F%v5hP|;R^(cn`ba&3YpU9tb zsv5=ZJ?p$b{ig#V=qF=BxG$m5I2THkT1FAeQLlNLKPcj z_!39aA%5sR9%6pH*D&g`Av@C%OHvCsWGldeOR9(`2(bY2GT`lL%hV{iq2rZXfX7Sl z43rCS5O#fp#ojRz!J*j3WQwzc4dR6=@0VYoENZ=wy+evGccKcPzEty!wf?5{Q*ad8%^qQw3%vr+K+^ zd>-#n^%G6I+k<8UCD$9H>37&$bL?Ncax@c(6p54IIMys=#^~q;e``j}!aC6&u+WYV zP4z7Vt2_QH1 z7_D-~!_rHEwkC3h`NR}S$(N48X&oh2ZFZ)nzpJlWZ{#~xKw-eM+~u1%SCCe}iYHta z$~*xN4_My1oLKYNe_tr|~M6-|nB;xf1_Jw`9~(R7fC zGaC8hr@oAN6*jS%aGn(3+a@maqQGG-J*mmT$xQ3pX5MK-5*6xx2W`^kkNr%+daKJ7 zD-UevRd7ZfrhL8Quwz#YgK}|bT-9<31^Ep~FkkIN-P|dpHs0WZyu~)j0dH^`eP>g& z8vKw^oVM_cz+9GZz_!D{5fM@HB~FIqd4| zm^(Gca1jA-gjy5_kw(p_T=(vc!Ky?|wEi6_gkIn057>cheXbc*NZ7NEDluF{`yAB> zqcu*{$swB!K|!KaF5EYy{Q>#Zp}wbHu1(LbqsPN$^`}|@s41kj+nS9MgoEpLw`{$1 zaKu`#DX(*xHN$KD0-`ezDkGiKx=p%0fJ^a~E{F4MTEyfSz5R`a#Rqsc=MaNUa1`+V(-_^R`@2V8fifCRb6Eh8V`3yb~2qsH=O|MD0un z(!<`~ldxfnor$m)arqgP=bFNP(lI62N3KYkVGK6;#Sl*lzT58 zc(QY-@|NQ$0Y`LK@@ErZwj>D>8V_gnedPD(#X;q})W&TQUVV42lRXw94VH z-O5h<3-4Bx)S&6!0@^iGb{s!@2@#o%&U7uFIxcF=@9nGNeggaiaFsB&KO}vorY>xM zv7IXYFvy0q^~plv1jZtIR;3=Y0!dToI9mrTpU4tpRqq$qPU)(hrFILAA8zlH$zX`U-C5^9{ipFhS}fy; zw-t$&Q!3Pz_S#*Tg#w1DUUj|KBjvUn=EGMX{lNMcKgpoM?#JgWzVdg%58Rt%ryIWr zv0a%Tshu&q8{29K1a~+NhoNeS!tIQirnppf@~pOEsT*7Vz~xtAzU6jo`SBO6iS;NBi)pc4Qv#+dPGt$=b;Pg?xKE|xJzMpbTajS^hV6RqxB`o*o zeN9_UzvfJoz4O`1Q%g#6fHByQxk6*X>n}HW153u-hW??VCcwO?^AcmLbC=1j#x5^hOC|;rJ?r2Rs_k($-}NYBcR1_gM?&A zz5{z?zcV2vQR~ZEpY{`hmq2T1Ea`jYCxnV8Z{rGFNswkbcJRQv#&@c6(HxkI8gMd&yw>84RjA-Tf-ub*3Wk(`azEOBl<}VgR)V+o z998K>+gOeJ8@iK^K>_#XPv+ojuDU;}xO_gUcIBHjK|#=GO?->57-_Ljer-dA>G?kf zM@~B4ch)v+JJ>5hLzDaQMr?2}!Sh;w9GqvoQeq-1!Ilt&BGjw@{QQfme}7Ir^!)A~ zN~7CYoGEOjTya0KL*|3SK=qCt)RWSf^PH-ESU=d68gk^UZQ7O?n$gN17gm;yHsZ+C zD)|cWdM?z6Vud*ZvGdd7Prc~`ir)XzPoYxqEsX#MHY_zUk_qDeF#LRjOMaSsquHAd zNgh;i>I3&Dn7AuK@fU~F&)9UThBkCp>Y%PxTvaQZwg(%%5CE@u z4y1EX*QvXW5PW@Qm5s7bAE&!u&-O@UVms9S;uYfqmRxTD{7(Sz53~jap9e?n#Mu?x zMbh|+oZ6CXV4GND)F{lxs;K}H1JoB9_pncw3G&b-`PtZ*(2Zd|umPw^BJ8dQmI~WF zXmb4pZ2P}??N_juCp%E%D0Prt2LA0RNM@n>|5WNk&hK9=Re!l$DQ#9(z3{#`BaIrW zi75byrKP9;2xQKu2d*L+BhVp#^~o7=t{FETMF+zwFGGrjG$!G#JzmPr*9IN41M!LD z3f_=0;+Q&}#24+m%N*xd;d0=bB|Ga|@gq$*-7*hrJI1MAP5qe925}33MxdH(bD`f4 zl3DGx68gw{9`oR0L@0i|4W-_v;m@~+9zOcw4rXA79;$4EXU}xYhO+zy-df370}(EZ zZr0-Vq7ODj*GnB=4vZbH=&v2#x3?&@peigrQh8U-#K`y=h@#dvHp(z5kq83k=2oPg zDUbc27({B}{o%Jg0vQtb3y|}ONs+aLoX0o26n~A39bERi>Ad!Keqc510w@X2v1wIT zPrU?rK6BTOe4OEicSWI7Y~W<)c-9>6`yg*wUq^fmsEuqK8yo9-{V$vrxHif90WYdE zb{v@baR`B$e0)X}mIKJ~jmPc+NqvH0%f%R~zV;cjLGfca&1@h+dVF*@s9M0@QkM^o3`a8qe3_P`*3|{91Q-ka#?`C`$E1f%g6CisAs$=nqZbOm(y}-oGeRb%Df}9+9VsOI>oN>A&-Obt$$9*TGDTe(*zYK-rIqut#WjmZ4-{ z-SZ-CR62^$wjiXpzrEA~1-n|8utf;ipqk=`9FPm>Hv~-M2#hRU)5I@=?MUzd)vDo) z;~{az=-Tl8R+#h#pblC#Zs`Y#y1s3j-Gz+cU{aU>F-U@ZB%w)(i>vLrgI&rV4FDN( z-=lQ+;D)_WE0`t0o;$$8Ww8O>T9~or_)OqmvLpJ&{=KMe=Hz z-R4c#Uz25KZOgYUc5dz$zceP)Rz+2~jBZSF_E$u0&OE1GXQSa}mvSDCrE`WBzz;NZCVyd!q_Ga6ClwAmuuqPl|a ztgc73G4?yU#B$maMcg+`wp+5rlvWFFjZYggF#IA>W6Q}2I{zT4N-If-UM5ViBYlw? zX?OR%_V7t0w?&^6eRR^~9z}zuQ#d%QrlhFa_w(21w|4Wj&4hDxBzAZ--EVx$ z8jpMKx7^K6D0sYGvcGaS)k)%mQD5Q2{Iv;siZ{8hWrW=rJhwt0j2cyS*9${a3? z>;XBxMv`zUNpEdw4E2~{$?nP<%toVWlj*vT(pXSy+f);roE(rln)`4?t`ng4-WqrJ z0$N-goYSX;uc_fxc1T1D_Z-@8&`Fit8OfeXydqHD5xDhwf1zSbCeSU6Pt1^Ld1}qo z&W9=^S-i%$(sg+R{X3|wZECh%_{4=pBVPN2kvlIGr`gZuB0#MaY% zDz+HQhQvpDX693%8|B;TQEvNs8VBd1KM#Q*4wxMVKECn>2^W{jfv!V2SJ5g1mX_Z3 z^yvBif|_N@H3@tzff|P4`U`5NBVS#;G1pRtnY|cq_sB~xHu*`Kjs?G~zfR$~fT363 zuKERucTQ-ka|K~`_sRFH(JXBcBg{Gy=aPRN4X3;_pDFj zXGi$wg|^Ob95PL@xmD_}xEF}tsw1C%McCcd6@Xps2`XdEk#7l`nYQNc&S|l15 z@-MkrH$QH}HEy3)DpIComo6Wdg3}zGpZ_2^DaoieU3I=cC)V4?$M(lL`f#cXI5;=Q z6+7RuT9-$`VU|$oR!9txh)vUrc1dp9DJw}=>(|katwCsE$3KtNx)nSUBskFD@|`kS0n-IZ3}#tj~)aFCfb&ZehRa8i)Z{Xn6wy?h= zMg=Z4-L9%SW|2Zu{kCVU-gyKoS9N0E%^Yj)PdDN`V9b~29^AAuz_M)~bRM1T#fRx3 z#AFJGNB_!M9H~%;sJh26)-?r|ajtmC{2~8k7_4U9S-#G5rp?v;HPvp?fgDRo%$(^b z8ZgowE#}Q%?|K81GCBlx(^9u~c7-a$b$mIvbp}gx_~tn$=9qy1cy{NR^L(8m)4i{o_vRIQIeUy%Y6^m_CduI8F|Mq#?ykw&wnTgf zAB37IXC;`;YwW`cG0Kbr(#;N{u=$Noy?p_~%;j?lKAXSkW8qk8ii?X=3b~YGEhP5g zxJ5)oPKy~gLO|@?WyN76#wE3h!ZRbww6m3$xu_st6K~3CF23*~>5aeiw5@tIw_ST3 z9QkyPy-8;!ECj+AYv1CP{|%IZerp;=CMIckKCrcO@sq>g2Sr2(_{P5hiEZ|x))pZK zSwm&NPHGsu-sqmLo&_r1(BYGT?DcHjOYz8g`Ey*fX<#t5w6Po{SNRhTWm0vuE)=w* z5$g-C3}Q2(jf?~PbmI5#h;PK-xjx!kah<&7w$JiatFSYhl;dlz)p>7%X4uB)e8im? zmI$f(OTv&9B@UJe>N=nFH!^rqD+P{gGj#t~)x>wxP5Ak}&Q^{cv7r zS4UzjLUy*g1CyBLkBgpc^LI}jXz#r&i+Oe!O@~RbqMwVp8 zUl^-9$UJcIhm0W%Iz>Q69qqb3U?2f@xb{*)9Nx#gR1-hy16ayyw#eZQ7J8Kqhj2tA z`I?PddUc&bv+>d9f{h=tQQAI|NH2^AJibi{#_$qyO2)0rIH0RkRYiqktiPrvHgl5% zjP6Z_xkvma3#MCt)cw+jRkKAD-=nn9OZg7Fm!J1?ZZ*eLDNP@kawO?ljM!k(kZIP~ zNZFha1>5KNWL~(nhvzsUCFRMrYuB70+knC(hc&YkVh?xR6?pV@!urk{^&=V6<{I^m z&PMTx+oHGOt0gG1`XbCi^0&{bE*DOC6JA)GgCWPzByqcqI2^QUCB>_Mi)@nb>Fb;K zX3p*eOgrHeDK+AM4)e_SD-$y&pYT zvBM|O*feTn-zst1CVFeGT%Z?WQ}#FAf3hQ>QCJ^lLqT0VRqtqCJwn*M`bT|z5%lYV z{lgkOoMS&#DflNUp4C0p@>-&p1o+XtKhWa=UYO5C{BsWE^|EmCCfdM z1d`h6adD3*^jz`=tYBY{pK;6ICmjq53Q8oPap_#Vs@uU%cw{=QtT}rqQYGqaI`iF` z?9%0lF4sQptL5&a?pssKM|@07k9n`vlOmQoQuR&f`4s6VRj5W)-wXA1W^zJ%ud*}> zo?N;Vb94*e%8eB z5qeieNN^y@eV$||Xma+}$w-m(iN?_vI?P~qc0ahO0@d@mZehX|KfHb zo8EDU1UugYG;DUIK7>l}S;jIn;HEsE^k5Rr^$!?(->@5Z3fgT__A$$?4i0 zU{=x5%2E7mRnBYsNn)ozt9UTE#BIpIx%EBz+!gQ~r{FL`A}t-rVKvEp#39Y`F1vDF zy5J>ZU_=?_&OYtpU=Qj2%LousjHd95XD*k@zjjVU-lPUmEiS*f%#1NwDi62VP>YNxqdQh>EZ+ju!~;$RCn2HF_V#9OGg&W&r;Y?zLh-*zhA1NCdi3~ zHn}6@-O;N${wo6ebBX1E^xu&J2~-}$le+mxvGdZ!MSkf`G&h@Mpt%68OzQU9p(8rS z{Wx({r%1L=gj|r%_WRe*m4`siCPvw@Co-OU?wwJrz zzuf=%K0V{Ymq-CO;@uR%16#eieiQa2pN}M+J&JgOhMlv8plER7_5e z!fVxNIesq9ZZ@F?cXDv4LTBUxh!;cm>7^)+WY)tv+D=2~1Jk{GJwOeVC47XDH)w(# z=0On`S8qX<8J*El?3R8}=99sfatW(|m}rC1&gXM=+{YOZ4`j%%SVAD8Ml$JzJ*7_k)8DJy^q#lj_RCronrCR*m-s4XTWmT-4tUk}xwGsdd!N$oFn zM%pSZ{sxDvfF^W4amAjA<4;0U_SKYX#Y@N>Gde!WKat2kEoEGg96r@5_csX8E7W{i zstFiNtXtzjkq}qE@@BL`L;jw-wils}<*+BEd(rrXMZg3hqzG+Quz= z$bA(Q=Z*=$z|kGbQzvOV$)Uq|7o5Q)=;MJ&HZQO+gm2&CL`wxF+pKVb8FQNOq(DKf z0o?QzOI$#_RFB;at4~N#yS`@pr~`Sl_A=wHB(^;Dz;N8rPGJ(6&w;EOL#JO2!I~Ivk*9lN06cbNi8` zgI5Ff96g<#ajmUS1tDz523v(bEtz$*W`h-q$fN|KtbW{)zV>%dymeH!OuV3GS21ui z^>?c2YF8C@1vj*e>uh~XI=-<+M;L%fBfES#AtB-R5u|PVfLkmv?&c^7;tCw>`dkt+ z(`yqFTyKa~RaH;!o|Nm~N*w_QJ$rOfWjS(8I?&C=Euk^Wx)3f4vvlSp-k{{cBlOzK zK@U&izlb$^KS^Lfsj?WxBU_L;= z;l;$nr0H_QB|DRCFVFgYOyP-mAj)|1HRToIzNv$IyVi-Lnt9?P3&S8K3^ z|BP(VD@iGC>EAKJeq*s9LM;|VFRvym>kEC|o6XEQ40J#JMk`@C9+gbw{Q5t*NNGbg z0ET~CKC0^IWj)*{>@7;wU0HKwwO{NS3(X9m8+mXn<}1C3b(jX35d1>*8>&?j^TQoh zJN3^SE*-mp*ML(+Kz)#|^Acw>FMJChz#_X}z|Zz$i%niSD8YRHmB``xs`%aecY@^| zS7+`If>f!dIvwrnjg1yc?}aL2EdW#bj|1oH>C%{ zq9*lb$=FUxHn)5N?|ipv*ftu|397xfGv;1%hJ-p3Rve;*Z&Yxt;|P7dgmNIOXIH_b zcYZzMhrf(;&m9D@(3p;rc)~sQaV+I@h9R4U!Bwy0%I8JW_KV7Ia@Yk!?`vO*kDA{XB^IuBH%-~54^|ImGeNQ660Dm z?VvogV_{ldqt|h~FMd+6RXimth5lQoj2g|Gbr$H@py4e9vwZ$s@m$^)eLg0>ABdrF zE|Ib6PV&;k1fwvE{B3f7A0iU5vf=C^h7c12;YSj+;Gt38Bjj~o-w}5Y*ay$$%yTwoMf(9NKRD27hI{{pJztCz?z+pIUUhol%83Ut7aYV?w_an zo~Dkry1!qKPw(_fIAw2T0Zk##H5zjm*wfS@Buv7{$k+uzp{j;P8pQhYK$T0bJOqbg z{1PcDJjJ2=ppAA`;)nk&^(q+|Zn6qN86DU6%gno)kuAjEV>uuDJ*7(Ve=f`?P@EG; zehfY$o1rwlo`J~?y}TC<=aW-X(i0LM&qmpN9d$b}+gcpx#)5>a%5FW6#$~{P)B4Ko zR~kjLDBF}U(>pRUZ9GJ>pO5mp{rElSg7<_s1|t#HnrQ_XQJ z770YHyiPTibl-W?&&a@mBg4MCE|uE;~}|z|HTKP{W)5q8$1eC&NkIT zFxdjILBkW$v&&6$a>eeN6kE4QOB5K)$ndl9w72ix5i5&%p_a-g1LAe`M4UTx!}1Mtf-|y3 zW(hGFnR)LkDrIx>?eaG3@BrXAEAIy9C5&C*iKx`RFbqbl8di z@j=9^bD`)9N#AkdBTN7VK*Lp32vWV#F6+OY0Lbqx$%#FB3R6^TsL-jOo|G80m0Cb; zL@jmVsAy5nCcvY;b22GHB%Ho+A==DF&3GmXoBTN5bSs~anko+;Z8_Y{+Z>GsH}WJF zHS7q^KQ0Ws3n0$SEAj%0NKOKx7OZ*qz%jT_SkKOXx>XSlDx_ZlJ!4>M9yWDf0Rxa6 z>AjWmvg=mA#0umlSf#>~^6;9{42@<}6V&^Am^TL4itG+_i7;bYd;NY&V&OD8B$d_~ z!C`buW4EHYWFywodptKb@uX~Ri{Pqdm_?SoF>+ra=wbmLj?xrrN9Hm;X7YnfA%u$Q zCK;sHDAPvct11d_M)i~;84z{TrR^#t1EQf$xRYb8t4>Rn#2vbkC>M5DP?XoA395@Y zp$2WlaW)#vzW1k33SwgYtOv*iQ;LUArQ7f#kAdl)w4(m9Gr_{Nd|ykkQ^mXY_nLoS zO>yhX))O7cxK}1RxcQBgng#qz&%Le$d-G!31vOtPel=uwfjJ0?jyAKSg9pZ4n~kf_ zK~R|(w-W*>G(bz4`tM&nmHTVJtQQ!1RIs)^og-=W9vqK`V(8-2ZujF~<^kfWwnYRq zt-ZxCx2h$)Jeng+mK~@s86($j&6rf;ci=*c6vsrT&V)z zi9GBsO=x!M0mi#c5H7}mm}f5l#kRos@(pX}jo!W^u2F_0#Ia*Wp;ZSi6%|#y#6vGe zj-P&RJ=f=x9cu!kt|x_mXiQrYaogN0Q#3QnYV@PYv8djAf_H`x$@zu&`#(oAKsa%# zhpHqsK|9AJ`->k(&Xb%|S|+O}>t`Nblw97b!&AasW~5VU4rdeJA8-UMbHMh54<|?{ z*`IqrCWh02eRd99_*!QO57fQYEV^Z4GsEacY#`r&xw=vs6F=lqqp&|W(Kr+o6R;nR zAO)67Mg1no1U-25X+RN1;9-Zv7JY9rdLVNq6PV36%i}9tRrCAv@S7b?V?+_+RbjRp4vr3e5RH(Bf*n~iOJcn zzCJ(7n3CVlN>811EQ;x-!QBJQ0R7O`QwVg+uDcT-VgF$hw>V$V($1|q+HMh*8!q<` z>MCaKmQwHA3|>1=yq>6Ja21^}CRtG(;ItKno|UePH%MLQ3keA+AAffNI=vsj(ZqnQ zNk9Uc+Ej(kiH+m^_8rZ&mt{^L2uzVYFBQgcdTXObdaO0%-Q%P*PbCZC$nupl$UP4A z>0973FhGKYD^k`ls%~!&=4F)yLb^iy7H;FweA)bGNd&1;@lyxe5BLL}vrZl{ML-1f zjz0OVVdS?)X0W946uJ)aLI;ZvHL}zO-f%(K*^0ecAAN-BEvO!SmVKfH06(MY;<^3l z&l2CFezh@i$>1yBNz~<=>PP>I1n(lmyn4^T6>1*6zkXE%s|)esk!f1=!MomNQXqoKbdI;$yTI6hR0qUrJ zpD=OHS;%ty5sO~6wungO7;fc}``V}PrO#m4#l7!lnw;SL zfoTUk2EvVkoo|aBQg<8!??I+F>8fxfRi}7wZ*K&LaUjS(MXn@bSB>Tw*wa>G+zu0q z(}F@mx{z}A_V#{oOQWf3ALDd1RaJDJIDc+M-A`eCEzdy0I)|ktdA2=dUI!g6EHgU> ziHw{{>oU~dbeJgsb})l|`&$cSSFXIop0nM!=4NTQ?wwU>)(he#3hxRCXam@5&@`9N z*0;u^Sv1Q%oWA*l(6?1`=%F#Q~JW~79Pr+#jiHM*C=34AyzkKO=hkpTUkyn{X z|GDB;acTr6^S!k9o^=U623Qtsg4>AtY7r$NCNK$Cn%^dFKyf6aT8^pmarz&IhM1eO zZc;A>?F!(rveA61U=~t!Cr8imjQePZI(k=oQn@Nx>I{1l@nCf6I+4|8PkF z(>>fc6edKEMJ_8_eb}nMbB{WR>g(%kf&>o`R{V=~9Kg7yAj#8_HR;cUQdwDQ4y&%t z874*MO}bl{rGwdS?xC&d!tuezp_)=RtI94wWpaR8*7R_94LQcGU*YWHI1px( z60jGjvkYsgW=P4qe4j6OqWUc#-*8*}!)ep5=-CYWSKnvxoHT8dH)9pi%PYxKPh@IX z1K&AzJPm|vrx!qoP6gpzA;b_ce;fIzIb~?$IUz%yGn_s@NXtAM`0A>XtyvYhdsS~i zUHN-`$qPBA_hzdIB#mttW`)yoa{56qA{AyXt+=@F-^nRK96B$3qvbGRyZIs;KrV!Y z*QUBP(DoLRb^1z;0%`q-r|ZIHph#x(|Q&ew~h!YsYGK)hKCEFFJ}*sh2vbK^? zV?TJ9T(}$BI5b5aa#PL(Q#5b3{2*1a7 znD$53PuQ-3eQP@z_NpC6jQywrbF@ntsvT8u_rmz+x^UF8BTmiKCWfQ?lC2#eY7BLv%P4ZEGtD)*`!TE!&&1lB*%VJzGaB9TM|Hv0id1+XHW z{0~&F84{rZhgQ{4%{a<-+9D)TgH*~2%UODVfS5bTTg*}GdoSzT1+xCh)70FJY#f?>C6lUcZcfeS4;jFN z0{!MYZHeGQqp`crwq{*?naf-5zJJ=jXgXD%*@O|{~3b6 zLGnrn#_1t9e!K0F#L@_Bn`{u}e3EjibWJJbD^n_twud-@l-rkDFapVh;-D_m&OMUo z>6gaGpsUT4#*~w#I;3$mCByD%+)nKtI9x#@UWQM4jPSFM4A=TOIxnq^+%Y>8JMS0x zVATJIGr-NHz%SV?PN94okS0)Q+9oq{>c z*`<%SwziOp!5+|5#}*3UxPhmAiwU_2sM!#FK@RHxBVEy+-QYxRy}9~ahU68cxvAcr+SKhI${$Wa9qG3SYi{}q#r zb3-wLGgPB-X9qS@1#USQH=8OcjEA6iMxEuu^xVo!Oie>#VzPnw`!jZSO0R`!;0hb`IlPWfwObZ(gpT?hnDN+KSSwG&w#k%dMu~x1=rsA=D1ogw!Uc^); z*x2pnO@+?4?_Jlpjkgw*6g~wDseAJ^E{cuJgGuklr_hc&I@n|AmR;DIgkyOIM)Bn5qel)WD#f>dVo)=&|*vo2@|1HP~p|9r2l>e&JVx^@ZudLB`&9#<%X>j!hXc5Qm!L!nXr21NiRnp{Ao=IS;ChNrdX!Tdn@1G7r=m8m z`G%s=07#mOpy!+@Kpem-FVA#@GF*R6q$r9S8m900zMT8x;0n_(Btz}5sC3Z zld#c!v#F)79T`zp4sLmF%_^s&M&IkHKsd(C$}0EJu>D^h#>G|m@#lQG5>RlWqRv88 z_Ka^u2v#f-!K8o&rx&C`L!zQGBQ2^2uvaCHn25wplkZ_ON7CuLir!MecWdt9<2S~y zf@py0;-9=h;NA8jp~*&es#-=bHr&Aej^;jn+NL05p#&s!1JvLZK5!eGAin`%5-cu2 zfVUeO8~+8ywema!BNupY5Kqs{Fx}6ys(X;pn+|!LAmzQ!E981pS11x^6IytdVUgz`6ZzJ$ODfuoKoVUfiXD`rp5QUuEglR6EXF+1VAtso;R- z3J1;;maR@Gss8J-s?=8>Fe#Y%NX;#aGdzT|CVF>?*W-d!U^wGZCMB`QTmr zj}g)7L%sd|%sf1Q7O%pA@xZ_{tcc6QfMm^lqi6fBEG>pBvh9PITP=H%XFuR0qfOui zo=S*1f$Iw?|Aj)`F&7#nH;uEZONwHfMDb0d_#k%goV=gW%TzI9{+LO4b>IrR#8XM( zJ4cbi{0Kz3)Fn_hiU45HG5XfLa_tGWXaI-j)V<67_&{tUEibPwEiGNq0Uyx(`*#2x z1g~j@g({%VA}u4s|JRZDV`7^b^i-Gty^szGmC=ocK$eQNZG3s@wHkI#IeU;?m)ZE` z_~JzZ;-CGqlsuMr=8ZlRQa&oHZu;+`0vN<&ok+%>_MyzyzV+pZ0 zF>n8&Wt5zu;Y)%PZ&@XMuU8zBqB#LiMqk<8_8Tg<&42>fL_qPV+z;1~vdlAtSO1|E zI1(O=%T)fcu{n#2ja`3eS^6*-3^M4XC>bSi8KEqNgg2)WqrK4=91>zHV0jbCPCvzF zr-{N?-8A#zgib3Cm00xu$$Pm4IV>ZvXUHqC;UjVpkDpcS=?&jOh`!Y{1mXK2`0^Pn-vrVSi@Ch{T-tUfM@7G-5+!NBg7 z;6sUgVOpfV;fh@8knlco2>Y z9z5v=u|$RPL}c?pT}Fwap*~=)JEWnOM8;UcAK z&Yc0eq`bJ53Lz*96h~FBl6`gYWBke}b%e6Hm09FEA%E zt7R%c+I0&$0+bP#1V{MM|JU4ghDCL5>rpToO|YXxKs|tfG)3xAjfxr3mWJcKE5dq46!gecC4jimhRYWjs0ZHg8F1Ls~2a>SDDyt{E-e3pk^(e~2Z?3sNDtVg`)#k3MnBml> z*BAvYYgnb(lfS(V1>RPBH}th+jl;Z=;&MhX4iq`Db`<3wdD+3xKzs!kTdNhXX5{6C z3%1tOY?8^>Y0WzFEA_}ehRmYRpTb7JReqg-uFy7kCr;oj38bUs3y5?JM@B|A46O0O z?=Fh(-1kN<{KC`3l+i?sy?|9Be1a+oJd62sX@oO>bt46W_L>oy$|2sRg^SOeKCMf` zmP`$kLz5!cHi5rfyGC{Qtq~Woi`=g-Td+IkxT~I<9zn?M#S)y~Ohn=dvTu?b%a$!$ z2KJU+mEw1N>MNTzh4QoEG{CF1N^BPxU43_nZjsJ2@n%}0S_)eY^O?qct=9_D)o?mA+^xN9nMgl+rv`Wg$8={P0 z6R|`|%qIu$?SH#kq}#-xr+3{Qx%tgeF>`}+vAbyikVWq3T?J)^q>q+ zvs}RNG83!-V)g3sUFJS*A?9qm3>fmQ7Na}`j+Ydye>G-h8%{mZqD9Zos?7=ZOowgQ z+b|o+c5Frg{YX09)^iQ+DarIcu#u|!OUr^4?M*Tf7LV?_*cO@jW_BlhRtnr4^;rDd zxSA6^>KPds27poZ0IQ-YE**imlXCu&$?KDGTdm)}C^)HWt1>hC?d{xTF%&*eO?*qmNM*}vp6x+a^&$>G5N~T>Ej=9oG=5QWg7erJ}kK_v7|; zZU^~DB8)ZXCQoI!5vwaiKrp=Bv!UB!G`0@l?URc=r@+)U4saft!D;d+veDg8bl8QH8d^F8+9lE}A=hc~an&X=5;@ zcNNd}J8{FzO4e;F6>8gDx0Q+c_}#_i%++Sq<%8^ev!XC*Fc~CVac-tdOP?0!H=@UO zeJR5=l-i|mK4kgz-;4d>^Xxh^(Fo~viKvyOffh1_{kbeIvs4mtsAhpOVVV@6E}5D;g|I5!-QD~fA;zrsj_P@Pdrz|m1H|89Bt=^6c3mjsnkL+lB0dVH_4j zgeOeBLDdOP>=(tc49P2@sO8#=@1jBXCF~4#hg_g@eAq$pKk^El-32|7QTTByjH+&o zuMxTQUye~2X7ETQL-`;odm8!sKgxJCVb;;rB_;98QzABlx@uH{;*WuW&d7ha6d1o3 zp>jFM-k#@<>YQLYkID-aSXRW;!_&}XT09*U7dYpQMotWl3s0N!Lxf8EChHq6KNGeL zo}?alfD$>3O1IJ)_x4TTPN%!H=2NDpeSW&=d=9@#>DJuuvbQ9w#lCQ)LdwL*NQA`9 za9@`l%D;-l*dLcQz5E&E%K_c@CrGMPxme8I!a_4b9-=H8mkr*ey&VDhXyJ$KB=$QI zP0hBxvq{rKPnUZPm#$02)g-WfZYV@6mNQq{l&pWTs-u2bM}lG|2H#|&a)s^O%oMnO zWiCi_G~_y_Ge7S7a?T^GgZ;oxkc6O|!1(}z$WYkjE6a`K<&sXp@ZD!(5`~@tw}1;J zkxoWz^gqpdO3;PSl2rl%DP&D)`m(ho^+G_vhQkw3!k?*jFR0p3T`&}h3FAyN;WL6_ zhMsFaTSA?QgZ?400O0!>9KMaxx_f7c*LIuudSN4dhdw6J(#PH@c14jl(YC{RS3_tYlLR>c zV#Sxb~Px8Zjk)-rr6>H8wU*L@RWz@+mp_Q>+lhIS&rKov5u3 z6Ya3QeHtgzfztj9e2eRFuIS14KMkqwMsE;Z4nGNq2I79_&R7XSCtqWpjgKCUh3PKZgEd!HUO{Fj zU*PhyC%yfxIr?OwZEf$tbmhuWitx^zA*QS>>o7w@!)%{%TZfhhdr;nj%Vbf)5Xx+a zLrXR(s(~982h3)p(mq0x|t~f#F^uk4SPJ-(3>_^9qE~WWIN& zDuQ2X>GvG(sozWDJJ7y}3(Y9Pdv=C2w>L&;lG*uP2+aQ-;AU@3VA!2jWx*Qn=f4ut^roeMzjl*x;g*lJ5xl9mzI^; z;Ud_`)ILw@$c%{h0Q8Rs+5z{Ha|Ibg9aEhO4h@(s+U0d-NIZGEfX$|~gQLjWYhneTzU0S+yB($Rihp`0swADXZV(Zp> zyR?RcyaRlz`yp6I=Y3zw$?ZTzi#I}rQrE;M>Kh$AJH`d|JKr502|JatBU7!eS#ZEx zQ2(k*v`Td0w0h_r9YOs8R+w6@@((4HOv$cQsrlShUHh-MV?x61pMVqCf%CIaHeR1c z)e8HyKU}rEJy7xC(yY4&$otKA-m1w9$2R%K-D@2xoV0L1$ zQc9KqtC2s37Ort8|56@O7X5WeNORAd;^Kkg`G9eBpzo6iI{5zR!q>sv2euF8SANI2 z#bVR5KDaObBtEwvrk&0)i@JW@#&v6n7r;g;D7k`y0-!)YT9uU%!ZB_bBn$F|poQPm z;HsLh5h~(Ybb@AVW_Az7L=MDjvOgGWe}Z5V$0NnW#qE&F0CSa=h^p?0x4CTDuDw{{ zQLUJsTi2^Q`zg!@V+newcyc{4;iDoWCFJC)Kez`C{>JKuof|Tv5fdAG7aUxu7%y*9 z{!?)XzjE6gVfi{(yohQL2}nHuN)OZ?I?%vdBc7O?oSKl(9{w2=90cPX+zFW;8~M$U z4EPnWf-q(@KA;S--`w+E+5kV3i6{)ObkM=6PJ!l_)k1dqlGAXq0aR*!c)U_XNB3Q^ zzV=>J!`&(-R@%2d$Odv;)gal(AUUhCc1dbutKTaG3bVyzWYSAFlu@X%USsakz##}%`DgcI(Ev^rAt*pS8T(0mV`Xr3=SG~-66seqLKG` zCaKgN-xChSFA!ugx>Yva^g6&KWG9bBS>>s(hs3P}^|7!OXwx|3HW@WQjYj-=WOQ_s z-?Z+|oeRoVEnH~y`mHBadsP>*`2}>r*P5BNZZ6Ijla!M?h|fcA6gRtPc-z5GPZeH2 zWEiIz9i)Bo`TYikdoQB)v>&Wg;XIN?yM?v=>g0+Q65Y;4pw!o{SwoVv0Fp!e1M1c8 zV}8;#H9bBy?3xp)$*yV&&{Jc+@?56guCI=k66bFfh26n|fuC~Klb96Bnk$0+z7;!W zW@d)Z`YXS05p-cU&6AXFqmP6itZ~&(uWfTGY;$r|&En|vj}bS5@_M`P^CozlP>lv5 z1MYgcWS5}Z5@V)nG^*by*fpi?ifbOTDtQuP!85ZKkIQ29_lNo@&l)vZ)p|N1xQ%FD|K zmVbRt0RHhVXO&jwmd3Hmv+a$ntgI}PqesuZ7zO(R(QQJ|&{2#`r0H#cxy}X#`W9v9ikbdF*3oNR!{OLnC_a5P#Y`zIyEOoX=(Y zc3n5bMMdu-8?~jSh2TIOP`Dc=ORth&Na?9l#?Ipl*@ZI~)u7TJUYfq*F4aw1QRav7 zQROhP;m+*~k64G^K|29*;u8~hA4xUA4iPUeQfK)+2-k`;1XRE^e$Yx((e&xI&TN$J-o zAM9eA@T&ja%cwu)Ld?k+TnR-| zxC!hbTmp?{gf++Ma5QMhh4?;WZ7n4ua{%?^_wC>B&dTlgEW!oER|lg3pcAz=4#N>5 z^H`Jnf{v^_QOIjaRn=qUU>=o*M0aE(YMl*#Hbr|KQc@tCv!{Qv_D?Ki zLh7fbNkjSMIj*Aw4InOnl5ovliIH~1E>-Mxk9);iXVeHOy?9zC>oi_SN-A~gabjYk zQr1RE$WZ7o+)5Z!Il0WzF4mZpHpC}ZuESX+GCuxIkAJQh_6#belDp1_=vcf$>-OVO(-LWCB*xlYT?xbUe&K$(+&gs7R4H z*q>25lVsBh9U#rK74FDK)YLelu&@)=VU&RJO@q7%(_slvCt-T`6#; z5NMZ=;0@|q=dO5Vncq8|=t*b2?wt00SqX>yLx^JpS)6rRTBOVj958^M^nOxs<;oQU zr?QR3N+hzHpsSjlAw?JI02ClUSf6^GRp_P`d1mQVUC|)RaVmSlyOd-;G>uX9;M}ya z*j+_r$j9Er=8yfnNBc9RRUjFh|0t~^k(2B4;6g-NfBhAK9cF%U%-RSCv|JS)@m7YS z()#cQwbKpZe@&eCcfx*A1oHR3Z+>-7 z7E4w_LZuI_Jj|}5ZNP1UW@cj|BiG|t{0!%geJ(aDKdZX3(th06^3b6l&^IKfKt@jo z8-WqOno{zafWpb^NE+;v?|c=OyKj~_r38+o=CCg?fd{OfxSQ^*uBvjFJ6>3ro{L@~ z-ObLlC`NCZd=;#6^nqlUxtQN(V$!R~QaI#}(bU*E+`84}_gN2%7W`wnzX8DQ&I z>8HW9@7W{RAFRl1_RHVXLVp!fJp6ov+PF>$fS?=P#=@$31*p0N@kKO;+sx`!tLW7! z%BNT$8;Q#ea=-*Y7wZC9Xb1N&Gl1uIkMHZYj}sy~SHj1N7cF5-AWWvMa{~`tg#q4T z3n)X@S70O7EI{9|m_}QNoJobNwn|ZwUa{zLmMCH#iJe{Hn5SHPsoimLpv7J@8d}gq z0rWx=fnUs?JZttMqkKoT`fcbR!0Shi{X!2_EcO=Iu@3yC0zr-4UH2kFq-e})Pkma* zM1Ujx@%-ZIa4aTqfA8Oa1r`N-L;f%Nf?!nSJvz)w=@#Y=2}i(zKV_oA*IIGybCDJ+ zdwcuQrK54{*|}!vaLv6D-Yasr1Q6ls;U-v^A_E`d$-YF!J!#qFEhW*SV2wA zXW*3se8&XUL0nB4hh&^>bpnA80MhE$R&8x{+R92Ptew^G33N(Mp5gnk3F|oTpP_4p zwsRy&iDO=#>e?2^ydsaWhgl+}{mhux$ox7+B0$j(QO!ek609f?7fU9T3(g&7;}?gW zW7+4*GOY(Q9KzObzvaEpuYT%1(`D#W{*L+&Muvuvv2}h|r_pq*+$xJ`7T79CPr7o8 zCulinDheh2Y@yY7wH95c+}t+}FIJG9Gf`XnyT9`>HCnUMTDODz50Va>bCITjQ*!#E z`Uejl5GPhzT3Y95I=hs~a-=qE5yamx658FjB(J_l{q)Vkq?QGcswjJS82^nf45m;v z{x~5&0$O8(Q(>i9{hfkGA?CeDlj=eupz^b%VoCpov(s$G>?W7*onanI!Rm zIR9{C3jAFAP6SXLk|ABQDcjY@E=cO9PmsnMn(J{T3fD9+0?W_3NB|oLXeg3Cru>w8<{KZFzai-f0a_Dzi%J zu|Bo$?(CD)M?A!d5BV=*eCSY3XU8k(UGwBq%6eRV4q?qY@k|;T9H%^8_I2kax4IoW zb}&p=9^AiQ{nnx;SZyq3KzwYhL`r|p3|3l(zZe=?E%9RRctPPQ7CynO+6?;}aJ~8@ z?7*mkRS_K?p78MD!_Lv?EbR7rG<;k)5$}fcJawIya*mHPqHMpZ5v64Zu_8sy_XmFM zsZYlIXL>Ih3sz+s;I&}i-SLi`?4nn=`QC13MgXZjTyhN2B{=lvGO@rzQ-yDdqzoOg zwz7hGu~l3=dC%Lt7JCQ|IMn#0`o(IqX}#6#{d+eG2dTLW(iSRsWB?OON-bU zs&1VMG3+FNy{ks)Sq~oYNyZQB@+-P4C}>c2gaEn&z*R}VZSV z)QMy;q!?9AGo6)BSiPb3K%WD90884JRB{z@IzKCE<-3s)*VQzb4S|RPrcgq)eU1KL z`>Sq45vEwe!w8LXmj+k^m!|*B@B)@X=_sK90bNoA|ihc|CdXwpPaP zFy}#K5C>1fOV0f|^?!3tht_VNK@qfeej<7Jp7yxs9{c@eMMY#pL~RwyWCUrw6a14* q5&4&7 Date: Sun, 12 Apr 2026 05:09:05 -0700 Subject: [PATCH 20/20] updates --- pyproject.toml | 2 +- uv.lock | 2261 +++++++++++++++++++++++++++--------------------- 2 files changed, 1279 insertions(+), 984 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 8f448bab..bec91a38 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] -requires-python = ">=3.10,<3.13" +requires-python = ">=3.11" name = "BPD" diff --git a/uv.lock b/uv.lock index 0fe53992..b1712a60 100644 --- a/uv.lock +++ b/uv.lock @@ -1,12 +1,17 @@ version = 1 revision = 3 -requires-python = ">=3.10, <3.13" +requires-python = ">=3.11" resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", - "python_full_version < '3.11'", + "python_full_version >= '3.14'", + "python_full_version == '3.13.*'", + "python_full_version == '3.12.*'", + "python_full_version < '3.12'", ] +[options] +exclude-newer = "2026-04-05T12:08:35.008450843Z" +exclude-newer-span = "P1W" + [[package]] name = "absl-py" version = "2.4.0" @@ -36,16 +41,15 @@ wheels = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, { name = "idna" }, - { name = "typing-extensions" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/96/f0/5eb65b2bb0d09ac6776f2eb54adee6abe8228ea05b20a5ad0e4945de8aac/anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703", size = 228685, upload-time = "2026-01-06T11:45:21.246Z" } +sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" }, + { url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" }, ] [[package]] @@ -59,49 +63,75 @@ wheels = [ [[package]] name = "apsw" -version = "3.51.2.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/6b/6f/817b270f836c56fd6354aff5da9b96e36895b5b777bda3682692907e6591/apsw-3.51.2.0.tar.gz", hash = "sha256:916271dcf55fc3fd150354b6dbbf76d75a1a5e77cbefca3c3603a8b9c51f9529", size = 1156490, upload-time = "2026-01-10T16:47:33.028Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/29/49/3b2939cf1d774673952eebe82b77ab3b727421c716c613bd0648aa3db3ad/apsw-3.51.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:70b3742424ba705fc676507f85ded34301d9727ca4096fb17ee8b534df128cc8", size = 1992978, upload-time = "2026-01-10T16:45:04.123Z" }, - { url = "https://files.pythonhosted.org/packages/ba/cd/10e2c29ebfe704e2a0d11455bf3366777770a2e5be41bd879a3a6378068d/apsw-3.51.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b68bb359c23b7a8dd22548bdabbca76b23a65153d60428f9c50bf77e9ae51a8c", size = 1923988, upload-time = "2026-01-10T16:45:06.016Z" }, - { url = "https://files.pythonhosted.org/packages/4b/51/08215f8887fa8150497aae1605212f282b9c21246ea4bafb97beb45f1318/apsw-3.51.2.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:dac3da3a0dec251201d257e9b40b87ff987260704d0ce2b6ac0362595608ad39", size = 7110584, upload-time = "2026-01-10T16:45:08.261Z" }, - { url = "https://files.pythonhosted.org/packages/69/f3/d8445c3abf87466e6b2d3ccc6b39d321b7fc1e7c07c561d3ab2378831e9f/apsw-3.51.2.0-cp310-cp310-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:3bb3bd38000439cd8a26b6e0b56a701130bc5f900b29e66ea06dcb0eeb14aaba", size = 6807405, upload-time = "2026-01-10T16:45:10.509Z" }, - { url = "https://files.pythonhosted.org/packages/a5/6e/0a49ce8a91cd6ad4bc8e443da551007723be15cc88edb6c7e1ae33ae2aff/apsw-3.51.2.0-cp310-cp310-manylinux_2_28_i686.whl", hash = "sha256:068c2fd29bad1e452181f92b6eda872634579fc9c69c9142d65d92aee2a091eb", size = 7011402, upload-time = "2026-01-10T16:45:12.382Z" }, - { url = "https://files.pythonhosted.org/packages/a1/8b/06f254641825ebe258d7c99ba4ab55601b5fd778ffcb68b0a00e22202c6c/apsw-3.51.2.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:fa5ee139ee3401ff9a7e79e7986798c7ea379c01129efb4a0793840a046b98bd", size = 7146239, upload-time = "2026-01-10T16:45:14.738Z" }, - { url = "https://files.pythonhosted.org/packages/57/27/7640c90ae0fad8b96d7977f9f02645f4ec41179ce461ee5d383a6b7e12a4/apsw-3.51.2.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:7b54cdb257b1d91f8587097139c3596c30a9c175e671aad7facfe62e0b82e31d", size = 7069971, upload-time = "2026-01-10T16:45:16.589Z" }, - { url = "https://files.pythonhosted.org/packages/c3/07/e30d7c57168555c57d1275d92ce53d37522dfb7a9d24840f274ae12df5f4/apsw-3.51.2.0-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:027ea19ebed50c138989a643c9946fb90dfaba915bf33e40fa68323a3c3e89bf", size = 6947783, upload-time = "2026-01-10T16:45:19.162Z" }, - { url = "https://files.pythonhosted.org/packages/e7/75/0f6fe81ef4840e556d29fd4e527482a0f6f65c6b448013a4afe61ceba721/apsw-3.51.2.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:6caa74bea430248835cc986eeec88b91ea3dd3d74584600ce3d36aaf44f58fd4", size = 7076468, upload-time = "2026-01-10T16:45:20.788Z" }, - { url = "https://files.pythonhosted.org/packages/a7/fd/cb3e916343f1768dc2c01609bd56fec016568256713547591fe78962a53e/apsw-3.51.2.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:09dde2eebad69e0de5cf9d023982e1b22888b62d178ddc109e5714b7d5ebe462", size = 7140732, upload-time = "2026-01-10T16:45:22.792Z" }, - { url = "https://files.pythonhosted.org/packages/33/08/945b8a03a286e1ce99762dd1ce70602511af6f95b2436e3e422f52da97e8/apsw-3.51.2.0-cp310-cp310-win32.whl", hash = "sha256:0a0741cfef136cf0de0ec44c6dd28fddf3de362f319cfa37fefa09686ca64fc9", size = 1627289, upload-time = "2026-01-10T16:45:24.79Z" }, - { url = "https://files.pythonhosted.org/packages/8b/5f/bdf14f12132a1cb165460f81fa45cc8217e33126b07ca88a4b20d0a275fe/apsw-3.51.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:ba2224704dd660f55f899dc03db0e1ac9b0721f8665bdafe804b41cd510d00dc", size = 1816543, upload-time = "2026-01-10T16:45:26.804Z" }, - { url = "https://files.pythonhosted.org/packages/13/f4/6a6a04bd0ea7f606c2e144ccf0576017878767097565a6423c9c08da2e3c/apsw-3.51.2.0-cp310-cp310-win_arm64.whl", hash = "sha256:31b74cce1d847ba3163928c3496ffa3984ed65dd5eceac541101d30509e78b72", size = 1637336, upload-time = "2026-01-10T16:45:28.596Z" }, - { url = "https://files.pythonhosted.org/packages/15/c3/654de560ef048ba068254ca7ad2100e34701860ee02022304d3134f2c96f/apsw-3.51.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:702edd757aba2f2662ea5f96d24819f7425c4baf6b1c93389c4290a8efec9b05", size = 1994976, upload-time = "2026-01-10T16:45:30.154Z" }, - { url = "https://files.pythonhosted.org/packages/24/99/cf1e85d9e33d0ae467605e3f68460f13bbe3c823b6d43c0b0e052290cd15/apsw-3.51.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9af7fc328790a431af52a551315e938048172cb7a67834ab9fee32b23916f195", size = 1926087, upload-time = "2026-01-10T16:45:32.229Z" }, - { url = "https://files.pythonhosted.org/packages/6e/29/3c3a987730c5e8a6a9c47ad63c29123cd3acda84afb93f3d8a4a613bffb7/apsw-3.51.2.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2014a08445a7019bef5ae4e0970f82d95e2714969a15e2f7f377d59fdee66bfd", size = 7296847, upload-time = "2026-01-10T16:45:34.236Z" }, - { url = "https://files.pythonhosted.org/packages/7e/71/a1380378a2b78901ba0d1578589d8fd5519425a7be89c9f80eb997a5db2d/apsw-3.51.2.0-cp311-cp311-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:e4d62418abc3c29d1c0e6748c0c990228044d2e6b0eb6c1018f5d18ac4af90f0", size = 6981719, upload-time = "2026-01-10T16:45:36.204Z" }, - { url = "https://files.pythonhosted.org/packages/fa/8d/66b5ccb36bc0f7d89f6d1c5998ebb7590ab404be165f2e0335b164c2d908/apsw-3.51.2.0-cp311-cp311-manylinux_2_28_i686.whl", hash = "sha256:9856c8568aa08d61a8ec30b2121188bc9106e72e96c58c3d05e90ac020df52c6", size = 7141245, upload-time = "2026-01-10T16:45:37.835Z" }, - { url = "https://files.pythonhosted.org/packages/ec/53/9a28101d15c0916b4c2a76a17b046ded1bd618e544874454e7f175b0a737/apsw-3.51.2.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:6bfd910c308b356d3612f91fe0002500df4fbee7d5dd301a2a298d5a08a1b2bb", size = 7277539, upload-time = "2026-01-10T16:45:39.527Z" }, - { url = "https://files.pythonhosted.org/packages/1f/40/d5ba2963886c18c2ff66127d972a80001a0d43a4e75ff02a063602eea308/apsw-3.51.2.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:e8333d4f5ad70dbd9f99b1952f43be64c1a921aa619ace28e61e1e7ff709bc28", size = 7250403, upload-time = "2026-01-10T16:45:41.928Z" }, - { url = "https://files.pythonhosted.org/packages/5b/8e/eeb732da15f2203bedd6f8f4ef2da994d88ab4a485155cef03d68f3fd401/apsw-3.51.2.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:f8ab6c8ad5e90c83344c04be0b454532d299e970d403ff069ae7c398b9a7e34f", size = 7125534, upload-time = "2026-01-10T16:45:44.123Z" }, - { url = "https://files.pythonhosted.org/packages/32/ac/41a9b2fd66046957773b256071c6d66dc3949acdab6b3c865add977ba4a0/apsw-3.51.2.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:eed6abed56c9f15e7084d67491f1f3d2f92b65281369dc3de80d50494510c536", size = 7206662, upload-time = "2026-01-10T16:45:45.943Z" }, - { url = "https://files.pythonhosted.org/packages/e1/04/16db408e57ea07ad141ca7aa0e007d686ad36e0b0db0f73167b6b10e8d79/apsw-3.51.2.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4c9f520a7d87023d3a6485eeacbcb2b4a25e52de259ef82e80d176f68f62d414", size = 7267680, upload-time = "2026-01-10T16:45:47.74Z" }, - { url = "https://files.pythonhosted.org/packages/2a/6f/bdf0c572598f5d7121180f518c01663ba6824326e3ef88b8e704c2168011/apsw-3.51.2.0-cp311-cp311-win32.whl", hash = "sha256:c31f69fee1639303ef62cf6f3f491a2e77a62c15860a2e73bc1f4359d1824154", size = 1621431, upload-time = "2026-01-10T16:45:49.692Z" }, - { url = "https://files.pythonhosted.org/packages/3a/9b/a10c4c3d0c8357ecfc7e51a42441150305a7a7db6fe9a71719f9427c3da3/apsw-3.51.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:29d120476d074f4b4fd6fa754593887393106497c3c260e1841b2fcddaadc5c5", size = 1814499, upload-time = "2026-01-10T16:45:51.598Z" }, - { url = "https://files.pythonhosted.org/packages/55/84/f42630791b90d53b1fafea7d44ecf928d35b4795e1fdc9e44baca5910f28/apsw-3.51.2.0-cp311-cp311-win_arm64.whl", hash = "sha256:02ad0f7c9b962ba586fb21b58c286213fd05d7478cd5aff6005902c44650b79a", size = 1637854, upload-time = "2026-01-10T16:45:53.651Z" }, - { url = "https://files.pythonhosted.org/packages/cf/1e/3d1da9827cb120ed9c19f6beb3f94c3836a8eac64c8fd7fa24ce40fbdbb8/apsw-3.51.2.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c91517f875033a447d1b7412bd128a2618821c467532d4531841b754eb01f9d5", size = 1995767, upload-time = "2026-01-10T16:45:55.22Z" }, - { url = "https://files.pythonhosted.org/packages/81/bf/9f6dcde7c11465b2bcfe52c9e5c9df393dfb78bc59414e9ddbb5fd6ca6b9/apsw-3.51.2.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:dc3e6c3756446696a37903a8d22ceb4b5ec5eb7c0c6db010c0d32d9add5a77d0", size = 1926162, upload-time = "2026-01-10T16:45:56.72Z" }, - { url = "https://files.pythonhosted.org/packages/ca/db/83b5f423ec6d566d6394a7f25b415450410d0466655b330820626dd1be0e/apsw-3.51.2.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:1072f52c792e5ada878df74b2bec32e31e733fae7d31810e462bf645c1f06207", size = 7296545, upload-time = "2026-01-10T16:45:59.062Z" }, - { url = "https://files.pythonhosted.org/packages/9c/83/ad7284671be0bf498475aada8fe7429de97e28b8b8fc7123231006fd8189/apsw-3.51.2.0-cp312-cp312-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:f56a67950af0a9913126abe5a3291d1792ffd0451e281c9e8382c3bbdf251b94", size = 6961422, upload-time = "2026-01-10T16:46:00.995Z" }, - { url = "https://files.pythonhosted.org/packages/ce/72/2aba1a845a60496abe221937759cbafffed82e68df0cf2633c591c6df4db/apsw-3.51.2.0-cp312-cp312-manylinux_2_28_i686.whl", hash = "sha256:4778ef6aa650d1086665f4fe07acab80c25193155458643b93d2fbc37e4f7a5b", size = 7131611, upload-time = "2026-01-10T16:46:03.491Z" }, - { url = "https://files.pythonhosted.org/packages/d8/be/c94e15c69ba4a64d60579c64682aa25cdd71cd6a2049dc1f640eb6d81ee4/apsw-3.51.2.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:8ae0a53b2e7638616e4f1c5cd33d97d5de604f5e76504cf3be5251a2d78b36c8", size = 7283180, upload-time = "2026-01-10T16:46:05.289Z" }, - { url = "https://files.pythonhosted.org/packages/02/65/ded5ffef6a92a5feeb919314426736c3063c831634d9375d3989fd5e883c/apsw-3.51.2.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ca2bb1253dd15543d995ce01135d5a67bf13d247e93df27631bf0851c9f5944c", size = 7242709, upload-time = "2026-01-10T16:46:07.075Z" }, - { url = "https://files.pythonhosted.org/packages/97/86/619d04bc326c606a087fe520dafd6eda155e7acfaa4705e4f690f770edee/apsw-3.51.2.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:02e5bda8a7ffe9bdc6d5d229cfe062d44e765e86278132599d19dcc0c267a904", size = 7122067, upload-time = "2026-01-10T16:46:09.924Z" }, - { url = "https://files.pythonhosted.org/packages/38/87/0051811adde754ca74fde18c320ec57067e406aa1a57149a49895352ebf8/apsw-3.51.2.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:3822b849bfcc9021aca64a85a00d99d74462335934bd7dbd20f5fcd70b307ab5", size = 7190526, upload-time = "2026-01-10T16:46:11.528Z" }, - { url = "https://files.pythonhosted.org/packages/c5/9e/c70a5365dbdec2cc0604310c5cfbafb49fc83c828b8bb67ddd6a2e7908af/apsw-3.51.2.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d5954d1200a1e6ba1f91c94f636d4beaf70602cf9c4be32d82fecb8dd4f193b7", size = 7265159, upload-time = "2026-01-10T16:46:13.427Z" }, - { url = "https://files.pythonhosted.org/packages/75/54/dfd7e28a9da187feacad31add0537f3caa4ea46832ebc20f9866279b62ee/apsw-3.51.2.0-cp312-cp312-win32.whl", hash = "sha256:d8b196b882adec2c1795e6e28875cf33d55807623ccb4f51fe124ca910608e66", size = 1621733, upload-time = "2026-01-10T16:46:15.006Z" }, - { url = "https://files.pythonhosted.org/packages/2a/92/a7da406dec09d5d30f75c54837f6810717cfa53a29221c2ed7ef628e031f/apsw-3.51.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:220ef45e01ef8881addc7eecec2124b59a34ddc093289e24618589d63bb5de9f", size = 1813545, upload-time = "2026-01-10T16:46:17.085Z" }, - { url = "https://files.pythonhosted.org/packages/2b/96/4ab4b0a24cf3c460502f2e5769e281ddd21dfd728a785d947d6a9969e4fb/apsw-3.51.2.0-cp312-cp312-win_arm64.whl", hash = "sha256:59f509343b9036c9d8a4af4b91cd8e94288b61432a4101d9a648632dbdb19e69", size = 1637413, upload-time = "2026-01-10T16:46:18.576Z" }, +version = "3.51.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/0c/87/ae61c54529fb44610962599ab3b909627928992e59c28775dff76bf04125/apsw-3.51.3.0.tar.gz", hash = "sha256:821966a66ed5fd539e863a8f60d9a53497e0a47ffdabde4ec7714fae9ed00261", size = 1231663, upload-time = "2026-03-14T16:05:10.236Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/86/e5/16824fc8909d769391dbedf08294a0d09094cbdfdae4feaa8f3f1290c57a/apsw-3.51.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:78e0956c0c53c1fc46d73e0000a9a42c07942f728d162fe0b512dd5273f264d0", size = 3735649, upload-time = "2026-03-14T16:02:55.739Z" }, + { url = "https://files.pythonhosted.org/packages/97/dc/eaa0fb33c4e5c80dc827ac2b8b145cab059b52f5f234fc4a6f2b181aaaca/apsw-3.51.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:72a1df1df8f792a8218b248590b29551e09a2abf0192b84cb18c45878cd73310", size = 3503115, upload-time = "2026-03-14T16:02:57.63Z" }, + { url = "https://files.pythonhosted.org/packages/c4/d2/5e54a26cee3de37963b9e9cd6440059fcdcb93cd4e30f60c7e83c8689c81/apsw-3.51.3.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:9cd5832f1b97bcbe5b5da902425af99308962c1eab49348c680647c4288842e6", size = 4166314, upload-time = "2026-03-14T16:02:59.187Z" }, + { url = "https://files.pythonhosted.org/packages/2f/08/92522d09c27354ea740bf76512f541094db5e0f70cf3d00ad87c63147785/apsw-3.51.3.0-cp311-cp311-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:a233841ef6beb0f4571d55a34910df636fd409140ed38d790d4428b052281d69", size = 3777700, upload-time = "2026-03-14T16:03:01.142Z" }, + { url = "https://files.pythonhosted.org/packages/a5/a6/be8e777c5eaf4190902db1af7e65be1efa3152f27ec2c65f45dcfa56f2f3/apsw-3.51.3.0-cp311-cp311-manylinux_2_28_i686.whl", hash = "sha256:aad69b1e1a08c5359cb6c72f1ec752dde34187f8e9c71d71d0000a266480e1f4", size = 4621390, upload-time = "2026-03-14T16:03:03.266Z" }, + { url = "https://files.pythonhosted.org/packages/a0/77/67188edac94ea077635f30d4a0c2247d15cdf1829bea1489b6c532e54137/apsw-3.51.3.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:5c9e7a16dcf3e474d6a696ce17b566a2d6964219b4d887c49c8d67562669b9bd", size = 4293456, upload-time = "2026-03-14T16:03:05.056Z" }, + { url = "https://files.pythonhosted.org/packages/8d/07/12b57f4f27d13b219994a8093fa1987da24868e788cbd7ed406f1297366d/apsw-3.51.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bae631aa0c32a64a5e1989c0fcbbbd74e458b83bb242de47b9a28f5230f83256", size = 4189204, upload-time = "2026-03-14T16:03:07.078Z" }, + { url = "https://files.pythonhosted.org/packages/98/ef/dadbe0bb4f34cf5b1a305d2eb74cdc47f1f8888f6ad849606c403dbc18fd/apsw-3.51.3.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:6c51e7788ad88a30229e738d3669ab1930258e72255b397308fc3c5da16dd8ce", size = 3812470, upload-time = "2026-03-14T16:03:08.664Z" }, + { url = "https://files.pythonhosted.org/packages/93/d0/31a11edbb119d2d4e82e29c393d9b3c65e92864c8ffa363c50022748998e/apsw-3.51.3.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:4945ab142ef98da69720d7f9c5e7a9a86ea0fa19637320c9a3a35729298d6cd3", size = 4642149, upload-time = "2026-03-14T16:03:10.289Z" }, + { url = "https://files.pythonhosted.org/packages/aa/ce/1fc9a70ccbf14f881dc25ea4c858fca5faa88383c4dae093227fe170c282/apsw-3.51.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:20fd05b9302bc6e8d9fbe3b9e6034015fb31779c1dd50c463cd879610a6114b6", size = 4301621, upload-time = "2026-03-14T16:03:12.263Z" }, + { url = "https://files.pythonhosted.org/packages/ca/5b/b557c9456692064dc0ee98dc3da790ad5c4f6966e2f090af7424a5c79169/apsw-3.51.3.0-cp311-cp311-win32.whl", hash = "sha256:193e348a8a71a179c4fffb414ef61f71f3009c82ab4aed711bc1169be3e68044", size = 3187115, upload-time = "2026-03-14T16:03:13.873Z" }, + { url = "https://files.pythonhosted.org/packages/79/a6/7cdb75e60cfcc4ba15a037f984b18daa79fc3882649cdf07d9ace60ecc8d/apsw-3.51.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:63e043b56549c159ca30a6474779e0b482fc88bd02b9bc17f5050e69ff62f44c", size = 3627629, upload-time = "2026-03-14T16:03:15.36Z" }, + { url = "https://files.pythonhosted.org/packages/49/06/e08843bb4bb404ccb8cae4592aca9ae23d048c15ea7c28c975acb1b23dd4/apsw-3.51.3.0-cp311-cp311-win_arm64.whl", hash = "sha256:c9f2d544036c675c7332db32eb845f01261abcfcc74f27278610a5031bbb95ce", size = 3183400, upload-time = "2026-03-14T16:03:16.905Z" }, + { url = "https://files.pythonhosted.org/packages/cd/6a/4544afa5e29c1bb48f9d13ea49f897537167b43990346af2237094acbbe3/apsw-3.51.3.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:69b45f0496d62ea673ff75a45c6610366b606baeb0ab9a24c5796b1fa7248f79", size = 3733554, upload-time = "2026-03-14T16:03:18.727Z" }, + { url = "https://files.pythonhosted.org/packages/ce/30/0e29cfdbb882b94a2d09ab58d351162b8f47efe5c75b20b17786603caa71/apsw-3.51.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:14cf60bb9e354d7272e21bc175653247e3ef3f4e5f60dd0cbd01150d6f9e51a5", size = 3502556, upload-time = "2026-03-14T16:03:20.499Z" }, + { url = "https://files.pythonhosted.org/packages/fb/77/c2e14fb98306ec4cdfed6543b95b285c4d5042086859dc0b2af438691eed/apsw-3.51.3.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:a9feb28cbd061a5e9e045b47cbe7a77f0a80bbfa19b2ab2071af95e43e998eaa", size = 4163452, upload-time = "2026-03-14T16:03:22.116Z" }, + { url = "https://files.pythonhosted.org/packages/a6/ad/fcbda02af13c154f929422015f69b2d0a5c6a2c7b20a693772d02eb05e58/apsw-3.51.3.0-cp312-cp312-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:e42c589b0aaa8520ab43590d24b92d6ba78b73ec394f81c4d28f3fee38188816", size = 3772011, upload-time = "2026-03-14T16:03:24.063Z" }, + { url = "https://files.pythonhosted.org/packages/a2/c7/13956b1cfcdd45db66b3738b75373367e5ac27cd62e04556a7bfa697de7e/apsw-3.51.3.0-cp312-cp312-manylinux_2_28_i686.whl", hash = "sha256:f11e49aead6a0165060dd117e96e27fbf17e371eaf30bce39417e7b3bb2531e1", size = 4610512, upload-time = "2026-03-14T16:03:25.992Z" }, + { url = "https://files.pythonhosted.org/packages/f5/e5/5e42bff00f375ca8702c4566d2248d6d00f23c95a2f7c5ca600941603b37/apsw-3.51.3.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:97233fa1ee8811530f09989acb0ad99ab6b2ca8cae14baf8defe07897d39f6d1", size = 4283567, upload-time = "2026-03-14T16:03:27.903Z" }, + { url = "https://files.pythonhosted.org/packages/15/e6/d0c028420f0195e12a7fcede7037fa24e2cd9685b7c36534690a5d2ca9cc/apsw-3.51.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4965e0f31d1c14ad0c2ba1fcf56e086f21386a4198820654a538cb4315f976ec", size = 4185086, upload-time = "2026-03-14T16:03:29.537Z" }, + { url = "https://files.pythonhosted.org/packages/d5/89/845c8ba00053b02d878136863bf5a20af3b7060f12189fd3f4ce3897ce7e/apsw-3.51.3.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:47ce2bbfaa3f4ca28d54ff1e45234906df2b2a9686367c01cf91605c2feac230", size = 3806413, upload-time = "2026-03-14T16:03:31.471Z" }, + { url = "https://files.pythonhosted.org/packages/f9/5f/57cc46978b9673e09945bb3039b4bf2628666dc89afcffa7893c8c60bdb6/apsw-3.51.3.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:9c341cf5b650c3fd648066d8b09a8da8af8ebeb94491b1d7c09637bc7423315f", size = 4629478, upload-time = "2026-03-14T16:03:33.412Z" }, + { url = "https://files.pythonhosted.org/packages/5f/b6/c8f53804bd90407b907a0ca5b7a669232e654d9ec41b1e102bfe2358264e/apsw-3.51.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5b3578746400b748def42500de5e2666e07819fef025e3ca02e82366712560d1", size = 4298045, upload-time = "2026-03-14T16:03:35.132Z" }, + { url = "https://files.pythonhosted.org/packages/91/ba/43336dd507ffb6d30209b89c257f3e0f453e7aef442ffd6c0facb4249f8f/apsw-3.51.3.0-cp312-cp312-win32.whl", hash = "sha256:74b361fc27bd9c233576adad24875b757ffdfa3f5f5453d98a9e021a3ab73806", size = 3186682, upload-time = "2026-03-14T16:03:36.644Z" }, + { url = "https://files.pythonhosted.org/packages/ce/7a/82e15c8da7c0de5df9fa47655ffd286ee8eb4a11eedbe6889b47f7604aea/apsw-3.51.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:ec869f9ffb7dff49aef68f3200a5fab9d55c956561b6e1a2f3e5ca5b499b4d22", size = 3625919, upload-time = "2026-03-14T16:03:38.567Z" }, + { url = "https://files.pythonhosted.org/packages/82/11/7f9d919fefcb9e2ac633e1feb28b72ae466b6ec7e2128acd197d13ce90fe/apsw-3.51.3.0-cp312-cp312-win_arm64.whl", hash = "sha256:a6426bdcb9cd60a68b6534abffedce11418b28cbeb6b89cc23f50611bdb1d7eb", size = 3183248, upload-time = "2026-03-14T16:03:40.24Z" }, + { url = "https://files.pythonhosted.org/packages/17/06/e652801e3ff3e3f065c3f07c54794024ded2750d66e6f21b8f0098d4e28f/apsw-3.51.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:4fd2c96c98f223e9732b894662ff2b91636c8335f089293ab1b3fbe233f31bf2", size = 3731439, upload-time = "2026-03-14T16:03:41.883Z" }, + { url = "https://files.pythonhosted.org/packages/16/2a/85d753b1b7c430283f4fd831672165eec74bc91ab5b9cea7f3fef652249e/apsw-3.51.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:376c3ec4da6058fd110f2339e58cbe9a2bfded08d60795fbbc8fcc225e5c3d50", size = 3499870, upload-time = "2026-03-14T16:03:43.872Z" }, + { url = "https://files.pythonhosted.org/packages/90/5a/81a65f260fc6e8f0f9d07929fe6b3f59ddc5bf1a0e2b87f18c49a8bbe25f/apsw-3.51.3.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:8dcb52104f26b41dbf82eba793987611f42c88d3ce0b2e4049f7bab6703fd28c", size = 4159338, upload-time = "2026-03-14T16:03:45.451Z" }, + { url = "https://files.pythonhosted.org/packages/30/1c/aab87cc58220d1d4e83cb1f6eb7efdfc150fb165dab9c211c1967fc71489/apsw-3.51.3.0-cp313-cp313-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:a4b1f66f0753cae3163fc2b57d7c77dc16bebcd279384072df65d17053480a77", size = 3774233, upload-time = "2026-03-14T16:03:47.356Z" }, + { url = "https://files.pythonhosted.org/packages/75/ad/0cb2efccd548f951220b5d74d7baad6c5d3af9879cd4a9fe24d6ef374d55/apsw-3.51.3.0-cp313-cp313-manylinux_2_28_i686.whl", hash = "sha256:1457f9a356351e9a6a34afe7dba7e1232c72279e97e04351936f0c20d20c3606", size = 4603017, upload-time = "2026-03-14T16:03:48.915Z" }, + { url = "https://files.pythonhosted.org/packages/56/00/188d4edf72178706df6556d01c6357af068e45bbcbf11fa1902fac9987e8/apsw-3.51.3.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:5f0c116efd1a5db0e94885313cc321a8f6e0c3dc7dcb21823d19bdc0c689cc0d", size = 4288777, upload-time = "2026-03-14T16:03:50.807Z" }, + { url = "https://files.pythonhosted.org/packages/5e/b7/1b985fd892c1fa95cc3d9e5f128e560ab35b64bfb663337c2b499323b4f6/apsw-3.51.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:6ca90f943c19fa4cc15459b82eafd581355186a2ba4c2c904aba8549a75eec9f", size = 4178855, upload-time = "2026-03-14T16:03:52.402Z" }, + { url = "https://files.pythonhosted.org/packages/86/d6/5ff3467d87febd970b469980044a58e172c608af37d0c5bb19e193547d09/apsw-3.51.3.0-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:3cecf686e00c511e6565b024d0b8d9b9689ea5c92dad4ab889abe8fcc2a59e6c", size = 3808644, upload-time = "2026-03-14T16:03:54.292Z" }, + { url = "https://files.pythonhosted.org/packages/94/b9/5c2513f1cdb0c5ba9944be4e3f0f0ea216010102404835cbc30195889b9d/apsw-3.51.3.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:d56d51b03970c78900dcb2003a5db1df8be9690b0abdfccdf5c04b5af984586f", size = 4623847, upload-time = "2026-03-14T16:03:56.016Z" }, + { url = "https://files.pythonhosted.org/packages/e7/1b/3a545ef60d58c3feaa41a0d18f3444fda1c82a7bb4694ae0a5006da2de23/apsw-3.51.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e6db970976c5645d255d9944a8d9d7e38d30835121354bb11ebf5687b2f376df", size = 4297109, upload-time = "2026-03-14T16:03:57.735Z" }, + { url = "https://files.pythonhosted.org/packages/99/2b/3035b1a44498ff63dda458606fd42547f9e6b5a733f81ee75c50a27f4307/apsw-3.51.3.0-cp313-cp313-win32.whl", hash = "sha256:d10159228ea3bb342b84b5be9546e26100e9f28f79a1f1b990e0c23adc566fd1", size = 3185665, upload-time = "2026-03-14T16:04:00.436Z" }, + { url = "https://files.pythonhosted.org/packages/bb/06/3942fcb970af53d6ca9040b4bee690bd9f0afd9a42c040044ee4a2f877b1/apsw-3.51.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:b3b2bf0ffe99d19affdc80f9c3208f697155bc2add1c562eb79d79d3867b0042", size = 3624831, upload-time = "2026-03-14T16:04:02.124Z" }, + { url = "https://files.pythonhosted.org/packages/de/6a/e29659da47ce9f4e618f8397ea6c00b94054dfcda324d87e44a1257289c9/apsw-3.51.3.0-cp313-cp313-win_arm64.whl", hash = "sha256:8f3c9a1d92cfd12925e4d43379a51fbac6203e36d1d316a49cb09b9460496cc4", size = 3182787, upload-time = "2026-03-14T16:04:03.988Z" }, + { url = "https://files.pythonhosted.org/packages/66/cb/1c6087a983c972e8b65e08abe98b5a584a28d8fe9969bf7ce43a388c036b/apsw-3.51.3.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:48d529b75b18f8c69b59d60f4fee177560b93eaeb02b87e95c1f33c30d307bac", size = 3735199, upload-time = "2026-03-14T16:04:06.027Z" }, + { url = "https://files.pythonhosted.org/packages/70/26/45e4277a399e0b8dcb98f3d5053e2b1e9a042ceb0c8cb011573684425143/apsw-3.51.3.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:48de01d271825df8c2a5d6c00a2d26019c112bfaf1fc93e2e6986d17f02739ed", size = 3500445, upload-time = "2026-03-14T16:04:07.718Z" }, + { url = "https://files.pythonhosted.org/packages/70/a3/da72949011352f98220128521bfaec4d04aba2cf62382381c7abb1a72854/apsw-3.51.3.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:55352c7727af8b402be835cc1cf2e1f47d13ed0480d4fe516f30a95f7922786c", size = 4160323, upload-time = "2026-03-14T16:04:09.276Z" }, + { url = "https://files.pythonhosted.org/packages/00/6a/16ce5f4c8c67742e6068d389bffed01a4a4c09842bee4aa9dbe402946ee1/apsw-3.51.3.0-cp314-cp314-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:b8de6b307ce2cf9ff30027751119b089652ab7fef2b598d1d893d49ceef5f26f", size = 3773432, upload-time = "2026-03-14T16:04:11.354Z" }, + { url = "https://files.pythonhosted.org/packages/e9/b9/eafe870cf775a51635e43c369625be9cad70176ff5c98bd460fd1026a9d2/apsw-3.51.3.0-cp314-cp314-manylinux_2_28_i686.whl", hash = "sha256:8e9ea467fe7587dd3562eef86d24f63dc88239405a95fd015ee09b1c88de59c6", size = 4603302, upload-time = "2026-03-14T16:04:13.295Z" }, + { url = "https://files.pythonhosted.org/packages/c5/8d/1269b6a44805c0b4487bd26764d90527701f1ea5dd8ec3a5d810f10c5898/apsw-3.51.3.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:3f9c0f193caad88b7247edc006d9b317a9f49cccc4221658b94c1acabc010dab", size = 4289568, upload-time = "2026-03-14T16:04:15.293Z" }, + { url = "https://files.pythonhosted.org/packages/de/4b/44f4c1f3029d9ede6503de9c09f12af31933c5c0996cb607a864dac7d916/apsw-3.51.3.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:04fb1b825795506e2263fb31942672781509c316b12d26d4144ac87b530787fb", size = 4180137, upload-time = "2026-03-14T16:04:17.269Z" }, + { url = "https://files.pythonhosted.org/packages/68/3e/9c0ff656e5e753ec041e2069f1a4affaf05ebd45c8ae724732a566c417f4/apsw-3.51.3.0-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:210d36a5934a1be0901a3eb78c070403b994d42535dd755e90f2d56aaa475efc", size = 3807182, upload-time = "2026-03-14T16:04:19.037Z" }, + { url = "https://files.pythonhosted.org/packages/8f/03/9f81f0fd73e5bc64a0d7588a34c4258acf76fa794274891e3e0dbd9eeaa4/apsw-3.51.3.0-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:9507c6d07d0ca87e40387a582297c21c75cb5b30a3e0e61d06bc3cfbf4b847d6", size = 4623954, upload-time = "2026-03-14T16:04:20.834Z" }, + { url = "https://files.pythonhosted.org/packages/d4/af/02270b2b78e9fa3a0aedd722f294d62a267f5460a86f9715e490a77cd527/apsw-3.51.3.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:3aa86aafe8666780d92ae558828ca08cd07d5e17733974ef3013b74647b1c245", size = 4298481, upload-time = "2026-03-14T16:04:22.823Z" }, + { url = "https://files.pythonhosted.org/packages/f2/68/8c1269d9b917377bed80e4902c898e97261c91e14a0ad721f3768aad3d0f/apsw-3.51.3.0-cp314-cp314-win32.whl", hash = "sha256:e7887a12992a7de2dfcb622ab00490420100731a34957b0fd83b7808ee0fd99e", size = 3260092, upload-time = "2026-03-14T16:04:24.496Z" }, + { url = "https://files.pythonhosted.org/packages/09/da/2080dac4f9dad95c196fc69fe9335f5eff9384d0862948773f5d0216c2fa/apsw-3.51.3.0-cp314-cp314-win_amd64.whl", hash = "sha256:ea5a0c43adad7d9354d356880d0df79b69c2577be1e42696b214d6d371177e83", size = 3720632, upload-time = "2026-03-14T16:04:26.023Z" }, + { url = "https://files.pythonhosted.org/packages/5d/b6/bca79ab5fd691569919967f924c6cb5ba227f80a4cb89f965f74b128ba99/apsw-3.51.3.0-cp314-cp314-win_arm64.whl", hash = "sha256:c20067d0aa692f654ebb8e8de2bd5deb9e5b59d4b3b3aba9da7c8fd4c0ce1369", size = 3270875, upload-time = "2026-03-14T16:04:27.625Z" }, + { url = "https://files.pythonhosted.org/packages/f6/e4/306331385800fc395b1379c03d8552604b433b4adb40d1344b0b043e6d99/apsw-3.51.3.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:815c74e49f63c3781d873cc72b7e03835948b2f8dbeb7f98d40428ad4ad4c0ef", size = 3741901, upload-time = "2026-03-14T16:04:29.31Z" }, + { url = "https://files.pythonhosted.org/packages/d9/92/c0de9d8cf1edfd7d9068dee6df52c404ef15ef09daa7697aa1c2b9b52c6a/apsw-3.51.3.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:8bd29b4a3b9c71c875c5acb6e0f30be937e473b69a530e6a5461340e2e0c7fe3", size = 3510233, upload-time = "2026-03-14T16:04:31.483Z" }, + { url = "https://files.pythonhosted.org/packages/c0/c9/8c032fd3d2ec61cf75cecd06a8223b2dc9bd2108424746939c46779526f0/apsw-3.51.3.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:b3da3bbe145e70bc43452fe6c9d3dfc199d8f85a99bcd0dffcdb7e39cc1848a1", size = 4138755, upload-time = "2026-03-14T16:04:33.313Z" }, + { url = "https://files.pythonhosted.org/packages/8e/05/65adb6c552fcd7e59a8287fe786009a6e936dd640c1a77efa3f534fe5dae/apsw-3.51.3.0-cp314-cp314t-manylinux_2_28_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:13e123a2c9e8d7d5ac4a796a367b3a28d6f36b8c7a83efc8d9a7cafabed26f87", size = 3755621, upload-time = "2026-03-14T16:04:34.898Z" }, + { url = "https://files.pythonhosted.org/packages/c2/2d/e2034adf26e73826c19a5808d65950b987029aeba79241111d815a95a58b/apsw-3.51.3.0-cp314-cp314t-manylinux_2_28_i686.whl", hash = "sha256:b7b85150228a2ae70bc0d93f69cc5b45885664dd6e1b3bc9aa3a2b0a63eac35a", size = 4574548, upload-time = "2026-03-14T16:04:36.844Z" }, + { url = "https://files.pythonhosted.org/packages/06/63/0c74cabd155b0c453c825963e0da0d84be3b54f93c20a980b1694f409998/apsw-3.51.3.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:344858f4c981a286f9832c500ad4176064b9db446565a3a4db8d38e033efceb3", size = 4260005, upload-time = "2026-03-14T16:04:38.78Z" }, + { url = "https://files.pythonhosted.org/packages/8f/2f/9772895fac2a95d50feefdb7aa8a1f169473c1a973421fb741a8b1de7980/apsw-3.51.3.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:18cb24fb3a495a4c271a0dd0f87b8c74a742f3be8855cb45a6e26bcd2e84cc8c", size = 4159781, upload-time = "2026-03-14T16:04:40.532Z" }, + { url = "https://files.pythonhosted.org/packages/df/53/4a292a8fef64948e1a70eee69139b0ceec31d7d89fbde40f69576ab04279/apsw-3.51.3.0-cp314-cp314t-musllinux_1_2_armv7l.whl", hash = "sha256:e6b97a0ee9416d27cf09ed8632c312da9dac0fc8b61770dece75bda0215e1eb0", size = 3784751, upload-time = "2026-03-14T16:04:42.098Z" }, + { url = "https://files.pythonhosted.org/packages/62/1a/7b8dc6bf9e5d5afb0875168642e3b65c9a599f3a5abc089f53171be04320/apsw-3.51.3.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:c04b0d2a49977824b002c3f97531bd6b646cef2f95bb07cbf44655c21cd70f78", size = 4594108, upload-time = "2026-03-14T16:04:43.994Z" }, + { url = "https://files.pythonhosted.org/packages/6a/aa/4993f9e9bbd982fb55d24b7c296036099ef489ea90aec12a6e7f559ef263/apsw-3.51.3.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:2a42866a1066a70f37063c7fdb84cfbbc144dfb6217b05e93649291e91288314", size = 4272330, upload-time = "2026-03-14T16:04:46.11Z" }, + { url = "https://files.pythonhosted.org/packages/f6/73/f427383c99ac2d71ea88e5135249da8b8a50a21fde9674856d6a790bc01e/apsw-3.51.3.0-cp314-cp314t-win32.whl", hash = "sha256:6841b515f5ca0c42632849bc7edc5585d96a43cd17fa81d41c9ac5e89dedb61b", size = 3273326, upload-time = "2026-03-14T16:04:47.858Z" }, + { url = "https://files.pythonhosted.org/packages/50/04/298894d3db45ef98a6b65dc2af24dd69b2fe0d961facae20ebe865e5d34c/apsw-3.51.3.0-cp314-cp314t-win_amd64.whl", hash = "sha256:23c62a9cf9e1d465141e17db45d8f13f2f32c1ababb0cef0002d73f2ea19b30b", size = 3735284, upload-time = "2026-03-14T16:04:49.502Z" }, + { url = "https://files.pythonhosted.org/packages/b9/80/2f4bbc7aae493d77e973a0b25d89a8e354d5f610839d2d3fe05c8524e315/apsw-3.51.3.0-cp314-cp314t-win_arm64.whl", hash = "sha256:6efd3839476ce618428ff59128e4fff0ffe0f392ed3e4837a888b230c2aa5583", size = 3274133, upload-time = "2026-03-14T16:05:08.353Z" }, ] [[package]] @@ -121,24 +151,22 @@ wheels = [ name = "arviz" version = "0.23.4" source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "h5netcdf" }, - { name = "h5py" }, - { name = "matplotlib" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "packaging" }, - { name = "pandas" }, - { name = "platformdirs" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "setuptools" }, - { name = "typing-extensions" }, - { name = "xarray", version = "2025.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "xarray", version = "2026.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "xarray-einstats", version = "0.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "xarray-einstats", version = "0.9.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, - { name = "xarray-einstats", version = "0.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, +resolution-markers = [ + "python_full_version < '3.12'", +] +dependencies = [ + { name = "h5netcdf", marker = "python_full_version < '3.12'" }, + { name = "h5py", marker = "python_full_version < '3.12'" }, + { name = "matplotlib", marker = "python_full_version < '3.12'" }, + { name = "numpy", marker = "python_full_version < '3.12'" }, + { name = "packaging", marker = "python_full_version < '3.12'" }, + { name = "pandas", marker = "python_full_version < '3.12'" }, + { name = "platformdirs", marker = "python_full_version < '3.12'" }, + { name = "scipy", marker = "python_full_version < '3.12'" }, + { name = "setuptools", marker = "python_full_version < '3.12'" }, + { name = "typing-extensions", marker = "python_full_version < '3.12'" }, + { name = "xarray", marker = "python_full_version < '3.12'" }, + { name = "xarray-einstats", version = "0.9.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/f3/c9/9c853633715f972eecc20995763c6e3005a3afcdcf47e39d20cd1c2889cd/arviz-0.23.4.tar.gz", hash = "sha256:611be826995066036c9443ea98d11486c279ef3da3b6cdc5c0816fab434115b9", size = 1592968, upload-time = "2026-02-04T17:57:53.664Z" } wheels = [ @@ -146,58 +174,81 @@ wheels = [ ] [[package]] -name = "astropy" -version = "6.1.7" +name = "arviz" +version = "1.0.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version < '3.11'", -] -dependencies = [ - { name = "astropy-iers-data", marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "packaging", marker = "python_full_version < '3.11'" }, - { name = "pyerfa", marker = "python_full_version < '3.11'" }, - { name = "pyyaml", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/8a/f8/9c6675ab4c646b95aae2762d108f6be4504033d91bd50da21daa62cab5ce/astropy-6.1.7.tar.gz", hash = "sha256:a405ac186306b6cb152e6df2f7444ab8bd764e4127d7519da1b3ae4dd65357ef", size = 7063411, upload-time = "2024-11-22T21:22:34.373Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/6a/4f/27f91eb9cdaa37835e52496dcad00fd89969ef5154795697987d031d0605/astropy-6.1.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:be954c5f7707a089609053665aeb76493b79e5c4753c39486761bc6d137bf040", size = 6531137, upload-time = "2024-11-22T21:21:30.502Z" }, - { url = "https://files.pythonhosted.org/packages/4b/f2/fb2c6c1d31c21df0d4409ecd5e9788795be6f8f80b67008c8191488d55cf/astropy-6.1.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b5e48df5ab2e3e521e82a7233a4b1159d071e64e6cbb76c45415dc68d3b97af1", size = 6410376, upload-time = "2024-11-22T21:21:32.986Z" }, - { url = "https://files.pythonhosted.org/packages/fd/68/65ad3ea77440df2e8625d8fee585d5fc6049f33a61e49221f91d8de0e3df/astropy-6.1.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:55c78252633c644361e2f7092d71f80ef9c2e6649f08d97711d9f19af514aedc", size = 9892774, upload-time = "2024-11-22T21:21:34.823Z" }, - { url = "https://files.pythonhosted.org/packages/b4/41/e366fc5baff41f7b433f07a46c053a24459e93d2912690d099f0eefabfc3/astropy-6.1.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:985e5e74489d23f1a11953b6b283fccde3f46cb6c68fee4f7228e5f6d8350ba9", size = 9962419, upload-time = "2024-11-22T21:21:36.863Z" }, - { url = "https://files.pythonhosted.org/packages/1e/a0/e6c1ef80f7e20fb600b3af742d227e6356704dbda3763ff1d76a53a0fd7b/astropy-6.1.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:dc2ea28ed41a3d92c39b1481d9c5be016ae58d68f144f3fd8cecffe503525bab", size = 9987760, upload-time = "2024-11-22T21:21:39.736Z" }, - { url = "https://files.pythonhosted.org/packages/49/93/6b23e75d690763a9d702038c74ea9a74181a278fe362fbeecea35b691e4a/astropy-6.1.7-cp310-cp310-win32.whl", hash = "sha256:4e4badadd8dfa5dca08fd86e9a50a3a91af321975859f5941579e6b7ce9ba199", size = 6274137, upload-time = "2024-11-22T21:21:42.178Z" }, - { url = "https://files.pythonhosted.org/packages/6e/e1/af92dc2132547e3998476a4b0ab19d15c50d8ec1d85e658fe6503e125fd1/astropy-6.1.7-cp310-cp310-win_amd64.whl", hash = "sha256:8d7f6727689288ee08fc0a4a297fc7e8089d01718321646bd00fea0906ad63dc", size = 6394810, upload-time = "2024-11-22T21:21:43.843Z" }, - { url = "https://files.pythonhosted.org/packages/4f/5e/d31204823764f6e5fa4820c1b4f49f8eef7cf691b796ec389f41b4f5a699/astropy-6.1.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:09edca01276ee63f7b2ff511da9bfb432068ba3242e27ef27d76e5a171087b7e", size = 6531221, upload-time = "2024-11-22T21:21:46.2Z" }, - { url = "https://files.pythonhosted.org/packages/22/e2/ae5dd6d9272e41619d85df4e4a03cf06acea8bcb44c42fe67e5cd04ae131/astropy-6.1.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:072f62a67992393beb016dc80bee8fb994fda9aa69e945f536ed8ac0e51291e6", size = 6409477, upload-time = "2024-11-22T21:21:47.862Z" }, - { url = "https://files.pythonhosted.org/packages/01/ed/9bc17beb457943ee04b8c85614ddb4a64a4a91597340dca28332e112209d/astropy-6.1.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2706156d3646f9c9a7fc810475d8ab0df4c717beefa8326552576a0f8ddca20", size = 10150734, upload-time = "2024-11-22T21:21:49.847Z" }, - { url = "https://files.pythonhosted.org/packages/39/38/1c5263f0d775def518707ccd1cf9d4df1d99d523fc148df9e38aa5ba9d54/astropy-6.1.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fcd99e627692f8e58bb3097d330bfbd109a22e00dab162a67f203b0a0601ad2c", size = 10210679, upload-time = "2024-11-22T21:21:52.011Z" }, - { url = "https://files.pythonhosted.org/packages/32/d1/7365e16b0158f755977a5bdbd329df40a9772b0423a1d5075aba9246673f/astropy-6.1.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b0ebbcb637b2e9bcb73011f2b7890d7a3f5a41b66ccaad7c28f065e81e28f0b2", size = 10245960, upload-time = "2024-11-22T21:21:54.785Z" }, - { url = "https://files.pythonhosted.org/packages/e9/b6/4dc6f9ef1c17738b8ebd8922bc1c6fec48542ccfe5124b6719737b012b8c/astropy-6.1.7-cp311-cp311-win32.whl", hash = "sha256:192b12ede49cd828362ab1a6ede2367fe203f4d851804ec22fa92e009a524281", size = 6272124, upload-time = "2024-11-22T21:21:57.504Z" }, - { url = "https://files.pythonhosted.org/packages/ba/c6/b5f33597bfbc1afad0640b20000633127dfa0a4295b607a0439f45546d9a/astropy-6.1.7-cp311-cp311-win_amd64.whl", hash = "sha256:3cac64bcdf570c947019bd2bc96711eeb2c7763afe192f18c9551e52a6c296b2", size = 6396627, upload-time = "2024-11-22T21:21:59.913Z" }, - { url = "https://files.pythonhosted.org/packages/46/2b/007c888fead170c714ecdcf56bc59e8d3252776bd3f16e1797158a46f65d/astropy-6.1.7-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f2a8bcbb1306052cc38c9eed2c9331bfafe2582b499a7321946abf74b26eb256", size = 6535604, upload-time = "2024-11-22T21:22:02.515Z" }, - { url = "https://files.pythonhosted.org/packages/8e/4c/cc30c9b1440f4a2f1f52845873ae3f8f7c4343261e516603a35546574ed7/astropy-6.1.7-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:eaf88878684f9d31aff36475c90d101f4cff22fdd4fd50098d9950fd56994df7", size = 6415117, upload-time = "2024-11-22T21:22:04.484Z" }, - { url = "https://files.pythonhosted.org/packages/12/2d/9985b8b4225c2495c4e64713d1630937c83af863db606d12676b72b4f651/astropy-6.1.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1cb8cd231e53556e4eebe0393ea95a8cea6b2ff4187c95ac4ff8b17e7a8da823", size = 10177861, upload-time = "2024-11-22T21:22:06.043Z" }, - { url = "https://files.pythonhosted.org/packages/b7/b6/63ccb085757638d15f0f9d6f2dffaccce7785236fe8bf23e4b380a333ce0/astropy-6.1.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ad36334d138a4f71d6fdcf225a98ad1dad6c343da4362d5a47a71f5c9da3ca9", size = 10258014, upload-time = "2024-11-22T21:22:08.164Z" }, - { url = "https://files.pythonhosted.org/packages/c8/ee/a6af891802de463f70e3fddf09f3aeb1d46dde87885e2245d25a2ac46948/astropy-6.1.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:dd731c526869d0c68507be7b31dd10871b7c44d310bb5495476505560c83cd33", size = 10277363, upload-time = "2024-11-22T21:22:10.331Z" }, - { url = "https://files.pythonhosted.org/packages/dd/98/b253583f9de7033f03a7c5f5314b9e93177725a2020e0f36d338d242bf0e/astropy-6.1.7-cp312-cp312-win32.whl", hash = "sha256:662bacd7ae42561e038cbd85eea3b749308cf3575611a745b60f034d3350c97a", size = 6271741, upload-time = "2024-11-22T21:22:12.696Z" }, - { url = "https://files.pythonhosted.org/packages/7a/63/e1b5f01e6735ed8f9d62d3eed5f226bc0ab516ab8558ffaccf6d4185f91d/astropy-6.1.7-cp312-cp312-win_amd64.whl", hash = "sha256:5b4d02a98a0bf91ff7fd4ef0bd0ecca83c9497338cb88b61ec9f971350688222", size = 6396352, upload-time = "2024-11-22T21:22:14.525Z" }, + "python_full_version >= '3.14'", + "python_full_version == '3.13.*'", + "python_full_version == '3.12.*'", +] +dependencies = [ + { name = "arviz-base", marker = "python_full_version >= '3.12'" }, + { name = "arviz-plots", marker = "python_full_version >= '3.12'" }, + { name = "arviz-stats", extra = ["xarray"], marker = "python_full_version >= '3.12'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/5b/e1/398fcbc5b043245fe7d704346b42385b886956a99fcb09964b41aada4267/arviz-1.0.0.tar.gz", hash = "sha256:9bc978e8b590d5ee88fe024c4fa10e214dc42c31329e645b2ad998419cbe7ff6", size = 8272, upload-time = "2026-03-02T14:58:48.996Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/30/dc/b1dcb62745f58f800d4073c9ad914a5cf882fe1d8f20793eae0a1d54bbac/arviz-1.0.0-py3-none-any.whl", hash = "sha256:8caf30516bb7e13c237d266e3d37c59531898a93db9e89c1f1bb9320699e97dd", size = 8445, upload-time = "2026-03-02T14:58:47.7Z" }, +] + +[[package]] +name = "arviz-base" +version = "1.0.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy", marker = "python_full_version >= '3.12'" }, + { name = "typing-extensions", marker = "python_full_version >= '3.12'" }, + { name = "xarray", marker = "python_full_version >= '3.12'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/17/9b/84b06b529b1b397c50f8ff2e5af5af7a09eef24c6ee5334e08e2cf12ef96/arviz_base-1.0.0.tar.gz", hash = "sha256:6b9796043b4e394056fd8a1ab51c8d4d3e88dcf8f2b698a46b660ff4346c8841", size = 1403207, upload-time = "2026-03-02T07:36:17.604Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/35/69/6624d40ec780a30d187e9224e1c2bf51eebe0e61ebd2c7dee06dd4464a24/arviz_base-1.0.0-py3-none-any.whl", hash = "sha256:77c93e3503166517da8155d580ec9615e9b7b89ab7890f8d9ab72c78a9b6c9e6", size = 1420656, upload-time = "2026-03-02T07:36:15.588Z" }, +] + +[[package]] +name = "arviz-plots" +version = "1.0.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "arviz-base", marker = "python_full_version >= '3.12'" }, + { name = "arviz-stats", extra = ["xarray"], marker = "python_full_version >= '3.12'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/12/af/113e16c1c7990badc433d694008ffb6d235265d9da15c22bff1ca485d4b3/arviz_plots-1.0.0.tar.gz", hash = "sha256:e8bb70824b50f09f7c527dac4519aef1b72cb0a9eadcd4da25b80c22a4bcef71", size = 143729, upload-time = "2026-03-02T10:03:36.015Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/aa/ff/9e1914853bd6df5f7ddf7a1cc261baeae87992bd46c9b40d0300b499d18d/arviz_plots-1.0.0-py3-none-any.whl", hash = "sha256:b086a603be6d880f6b446beae4d2111c7c3dc2ce2e65481cd88097f474694dde", size = 225351, upload-time = "2026-03-02T10:03:34.437Z" }, +] + +[[package]] +name = "arviz-stats" +version = "1.0.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy", marker = "python_full_version >= '3.12'" }, + { name = "scipy", marker = "python_full_version >= '3.12'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/5b/09/df9f50fd79ca7a990564bfb45902ad79b5d87ed7deb6ae0f90d3844c5408/arviz_stats-1.0.0.tar.gz", hash = "sha256:056228574bbc1e9045fd41da168d62fe4167097fd886056b8085a40799142e53", size = 144731, upload-time = "2026-03-02T08:06:52.294Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b2/3f/7f0df19fc24f375b2e28e594893a1869314b868a6791046f1a56b5ca78a1/arviz_stats-1.0.0-py3-none-any.whl", hash = "sha256:3b2e5e8c8714827497e82eb1ab8064a16a7fb1a8f733edf325bff2c81ec4a400", size = 171588, upload-time = "2026-03-02T08:06:50.685Z" }, +] + +[package.optional-dependencies] +xarray = [ + { name = "arviz-base", marker = "python_full_version >= '3.12'" }, + { name = "xarray", marker = "python_full_version >= '3.12'" }, + { name = "xarray-einstats", version = "0.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, ] [[package]] name = "astropy" version = "7.2.0" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", -] dependencies = [ - { name = "astropy-iers-data", marker = "python_full_version >= '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "packaging", marker = "python_full_version >= '3.11'" }, - { name = "pyerfa", marker = "python_full_version >= '3.11'" }, - { name = "pyyaml", marker = "python_full_version >= '3.11'" }, + { name = "astropy-iers-data" }, + { name = "numpy" }, + { name = "packaging" }, + { name = "pyerfa" }, + { name = "pyyaml" }, ] sdist = { url = "https://files.pythonhosted.org/packages/7b/92/2dce2d48347efc3346d08ca7995b152d242ebd170c571f7c9346468d8427/astropy-7.2.0.tar.gz", hash = "sha256:ae48bc26b1feaeb603cd94bd1fa1aa39137a115fe931b7f13787ab420e8c3070", size = 7057774, upload-time = "2025-11-25T22:36:41.916Z" } wheels = [ @@ -213,11 +264,11 @@ wheels = [ [[package]] name = "astropy-iers-data" -version = "0.2026.2.16.0.48.25" +version = "0.2026.4.1.15.5.49" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/dc/ce/9aed8765e4dcb2e12afd545c7ce63f2b9bcad592afcb9a0d5437d872060d/astropy_iers_data-0.2026.2.16.0.48.25.tar.gz", hash = "sha256:be14512844e71536a15e165d729385f3cb4865d7822172509e68c4ac79322067", size = 1926145, upload-time = "2026-02-16T00:49:11.138Z" } +sdist = { url = "https://files.pythonhosted.org/packages/25/af/c4dc0106b7bc003c4e16db575a48d7d16912ea29cfe59c857d433c79d17d/astropy_iers_data-0.2026.4.1.15.5.49.tar.gz", hash = "sha256:0f76474e6a0d6a7cecf086d08dc4c00d0540518fc6e0133a24e13cf7fcae8a53", size = 1929573, upload-time = "2026-04-01T15:06:31.015Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/49/94/dcdac330d2c26776956555610ef584147584acc6b060e451aa65dd9142d9/astropy_iers_data-0.2026.2.16.0.48.25-py3-none-any.whl", hash = "sha256:180d1c3f59d18aa616345560799c2d88ec6e5164b8c45c746380acf892946136", size = 1982562, upload-time = "2026-02-16T00:49:09.602Z" }, + { url = "https://files.pythonhosted.org/packages/21/14/125eb772fc1e8985d4cdc46a7e81a61009eae02492ef62488c53245c9d9f/astropy_iers_data-0.2026.4.1.15.5.49-py3-none-any.whl", hash = "sha256:ca90106817015638234cfeb41a6543d51149d64ab0b495b76863d33411846f25", size = 1986539, upload-time = "2026-04-01T15:06:29.332Z" }, ] [[package]] @@ -231,11 +282,11 @@ wheels = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/6b/5c/685e6633917e101e5dcb62b9dd76946cbb57c26e133bae9e0cd36033c0a9/attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11", size = 934251, upload-time = "2025-10-06T13:54:44.725Z" } +sdist = { url = "https://files.pythonhosted.org/packages/9a/8e/82a0fe20a541c03148528be8cac2408564a6c9a0cc7e9171802bc1d26985/attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32", size = 952055, upload-time = "2026-03-19T14:22:25.026Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/3a/2a/7cc015f5b9f5db42b7d48157e23356022889fc354a2813c15934b7cb5c0e/attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373", size = 67615, upload-time = "2025-10-06T13:54:43.17Z" }, + { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548, upload-time = "2026-03-19T14:22:23.645Z" }, ] [[package]] @@ -273,13 +324,13 @@ name = "bpd" version = "0.0.1" source = { editable = "." } dependencies = [ - { name = "arviz" }, + { name = "arviz", version = "0.23.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "arviz", version = "1.0.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, { name = "blackjax" }, { name = "galsim" }, { name = "jax", extra = ["cuda12"] }, { name = "jax-galsim" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "numpyro" }, { name = "optax" }, { name = "quadax" }, @@ -290,8 +341,8 @@ dependencies = [ dev = [ { name = "chainconsumer" }, { name = "ipykernel" }, - { name = "ipython", version = "8.38.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "ipython", version = "9.10.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "ipython", version = "9.12.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, { name = "pytest" }, { name = "ruff" }, { name = "typer" }, @@ -320,11 +371,11 @@ provides-extras = ["dev"] [[package]] name = "certifi" -version = "2026.1.4" +version = "2026.2.25" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/e0/2d/a891ca51311197f6ad14a7ef42e2399f36cf2f9bd44752b3dc4eab60fdc5/certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120", size = 154268, upload-time = "2026-01-04T02:42:41.825Z" } +sdist = { url = "https://files.pythonhosted.org/packages/af/2d/7bf41579a8986e348fa033a31cdd0e4121114f6bce2457e8876010b092dd/certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7", size = 155029, upload-time = "2026-02-25T02:54:17.342Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e6/ad/3cc14f097111b4de0040c83a525973216457bbeeb63739ef1ed275c1c021/certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c", size = 152900, upload-time = "2026-01-04T02:42:40.15Z" }, + { url = "https://files.pythonhosted.org/packages/9a/3c/c17fb3ca2d9c3acff52e30b309f538586f9f5b9c9cf454f3845fc9af4881/certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa", size = 153684, upload-time = "2026-02-25T02:54:15.766Z" }, ] [[package]] @@ -336,18 +387,6 @@ dependencies = [ ] sdist = { url = "https://files.pythonhosted.org/packages/eb/56/b1ba7935a17738ae8453301356628e8147c79dbb825bcbc73dc7401f9846/cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529", size = 523588, upload-time = "2025-09-08T23:24:04.541Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/93/d7/516d984057745a6cd96575eea814fe1edd6646ee6efd552fb7b0921dec83/cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44", size = 184283, upload-time = "2025-09-08T23:22:08.01Z" }, - { url = "https://files.pythonhosted.org/packages/9e/84/ad6a0b408daa859246f57c03efd28e5dd1b33c21737c2db84cae8c237aa5/cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49", size = 180504, upload-time = "2025-09-08T23:22:10.637Z" }, - { url = "https://files.pythonhosted.org/packages/50/bd/b1a6362b80628111e6653c961f987faa55262b4002fcec42308cad1db680/cffi-2.0.0-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:53f77cbe57044e88bbd5ed26ac1d0514d2acf0591dd6bb02a3ae37f76811b80c", size = 208811, upload-time = "2025-09-08T23:22:12.267Z" }, - { url = "https://files.pythonhosted.org/packages/4f/27/6933a8b2562d7bd1fb595074cf99cc81fc3789f6a6c05cdabb46284a3188/cffi-2.0.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3e837e369566884707ddaf85fc1744b47575005c0a229de3327f8f9a20f4efeb", size = 216402, upload-time = "2025-09-08T23:22:13.455Z" }, - { url = "https://files.pythonhosted.org/packages/05/eb/b86f2a2645b62adcfff53b0dd97e8dfafb5c8aa864bd0d9a2c2049a0d551/cffi-2.0.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:5eda85d6d1879e692d546a078b44251cdd08dd1cfb98dfb77b670c97cee49ea0", size = 203217, upload-time = "2025-09-08T23:22:14.596Z" }, - { url = "https://files.pythonhosted.org/packages/9f/e0/6cbe77a53acf5acc7c08cc186c9928864bd7c005f9efd0d126884858a5fe/cffi-2.0.0-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9332088d75dc3241c702d852d4671613136d90fa6881da7d770a483fd05248b4", size = 203079, upload-time = "2025-09-08T23:22:15.769Z" }, - { url = "https://files.pythonhosted.org/packages/98/29/9b366e70e243eb3d14a5cb488dfd3a0b6b2f1fb001a203f653b93ccfac88/cffi-2.0.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc7de24befaeae77ba923797c7c87834c73648a05a4bde34b3b7e5588973a453", size = 216475, upload-time = "2025-09-08T23:22:17.427Z" }, - { url = "https://files.pythonhosted.org/packages/21/7a/13b24e70d2f90a322f2900c5d8e1f14fa7e2a6b3332b7309ba7b2ba51a5a/cffi-2.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cf364028c016c03078a23b503f02058f1814320a56ad535686f90565636a9495", size = 218829, upload-time = "2025-09-08T23:22:19.069Z" }, - { url = "https://files.pythonhosted.org/packages/60/99/c9dc110974c59cc981b1f5b66e1d8af8af764e00f0293266824d9c4254bc/cffi-2.0.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e11e82b744887154b182fd3e7e8512418446501191994dbf9c9fc1f32cc8efd5", size = 211211, upload-time = "2025-09-08T23:22:20.588Z" }, - { url = "https://files.pythonhosted.org/packages/49/72/ff2d12dbf21aca1b32a40ed792ee6b40f6dc3a9cf1644bd7ef6e95e0ac5e/cffi-2.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8ea985900c5c95ce9db1745f7933eeef5d314f0565b27625d9a10ec9881e1bfb", size = 218036, upload-time = "2025-09-08T23:22:22.143Z" }, - { url = "https://files.pythonhosted.org/packages/e2/cc/027d7fb82e58c48ea717149b03bcadcbdc293553edb283af792bd4bcbb3f/cffi-2.0.0-cp310-cp310-win32.whl", hash = "sha256:1f72fb8906754ac8a2cc3f9f5aaa298070652a0ffae577e0ea9bd480dc3c931a", size = 172184, upload-time = "2025-09-08T23:22:23.328Z" }, - { url = "https://files.pythonhosted.org/packages/33/fa/072dd15ae27fbb4e06b437eb6e944e75b068deb09e2a2826039e49ee2045/cffi-2.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:b18a3ed7d5b3bd8d9ef7a8cb226502c6bf8308df1525e1cc676c3680e7176739", size = 182790, upload-time = "2025-09-08T23:22:24.752Z" }, { url = "https://files.pythonhosted.org/packages/12/4a/3dfd5f7850cbf0d06dc84ba9aa00db766b52ca38d8b86e3a38314d52498c/cffi-2.0.0-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:b4c854ef3adc177950a8dfc81a86f5115d2abd545751a304c5bcf2c2c7283cfe", size = 184344, upload-time = "2025-09-08T23:22:26.456Z" }, { url = "https://files.pythonhosted.org/packages/4f/8b/f0e4c441227ba756aafbe78f117485b25bb26b1c059d01f137fa6d14896b/cffi-2.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2de9a304e27f7596cd03d16f1b7c72219bd944e99cc52b84d0145aefb07cbd3c", size = 180560, upload-time = "2025-09-08T23:22:28.197Z" }, { url = "https://files.pythonhosted.org/packages/b1/b7/1200d354378ef52ec227395d95c2576330fd22a869f7a70e88e1447eb234/cffi-2.0.0-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:baf5215e0ab74c16e2dd324e8ec067ef59e41125d3eade2b863d294fd5035c92", size = 209613, upload-time = "2025-09-08T23:22:29.475Z" }, @@ -373,6 +412,40 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/7b/2b/2b6435f76bfeb6bbf055596976da087377ede68df465419d192acf00c437/cffi-2.0.0-cp312-cp312-win32.whl", hash = "sha256:da902562c3e9c550df360bfa53c035b2f241fed6d9aef119048073680ace4a18", size = 172932, upload-time = "2025-09-08T23:22:57.188Z" }, { url = "https://files.pythonhosted.org/packages/f8/ed/13bd4418627013bec4ed6e54283b1959cf6db888048c7cf4b4c3b5b36002/cffi-2.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:da68248800ad6320861f129cd9c1bf96ca849a2771a59e0344e88681905916f5", size = 183557, upload-time = "2025-09-08T23:22:58.351Z" }, { url = "https://files.pythonhosted.org/packages/95/31/9f7f93ad2f8eff1dbc1c3656d7ca5bfd8fb52c9d786b4dcf19b2d02217fa/cffi-2.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:4671d9dd5ec934cb9a73e7ee9676f9362aba54f7f34910956b84d727b0d73fb6", size = 177762, upload-time = "2025-09-08T23:22:59.668Z" }, + { url = "https://files.pythonhosted.org/packages/4b/8d/a0a47a0c9e413a658623d014e91e74a50cdd2c423f7ccfd44086ef767f90/cffi-2.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:00bdf7acc5f795150faa6957054fbbca2439db2f775ce831222b66f192f03beb", size = 185230, upload-time = "2025-09-08T23:23:00.879Z" }, + { url = "https://files.pythonhosted.org/packages/4a/d2/a6c0296814556c68ee32009d9c2ad4f85f2707cdecfd7727951ec228005d/cffi-2.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:45d5e886156860dc35862657e1494b9bae8dfa63bf56796f2fb56e1679fc0bca", size = 181043, upload-time = "2025-09-08T23:23:02.231Z" }, + { url = "https://files.pythonhosted.org/packages/b0/1e/d22cc63332bd59b06481ceaac49d6c507598642e2230f201649058a7e704/cffi-2.0.0-cp313-cp313-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:07b271772c100085dd28b74fa0cd81c8fb1a3ba18b21e03d7c27f3436a10606b", size = 212446, upload-time = "2025-09-08T23:23:03.472Z" }, + { url = "https://files.pythonhosted.org/packages/a9/f5/a2c23eb03b61a0b8747f211eb716446c826ad66818ddc7810cc2cc19b3f2/cffi-2.0.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d48a880098c96020b02d5a1f7d9251308510ce8858940e6fa99ece33f610838b", size = 220101, upload-time = "2025-09-08T23:23:04.792Z" }, + { url = "https://files.pythonhosted.org/packages/f2/7f/e6647792fc5850d634695bc0e6ab4111ae88e89981d35ac269956605feba/cffi-2.0.0-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:f93fd8e5c8c0a4aa1f424d6173f14a892044054871c771f8566e4008eaa359d2", size = 207948, upload-time = "2025-09-08T23:23:06.127Z" }, + { url = "https://files.pythonhosted.org/packages/cb/1e/a5a1bd6f1fb30f22573f76533de12a00bf274abcdc55c8edab639078abb6/cffi-2.0.0-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:dd4f05f54a52fb558f1ba9f528228066954fee3ebe629fc1660d874d040ae5a3", size = 206422, upload-time = "2025-09-08T23:23:07.753Z" }, + { url = "https://files.pythonhosted.org/packages/98/df/0a1755e750013a2081e863e7cd37e0cdd02664372c754e5560099eb7aa44/cffi-2.0.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c8d3b5532fc71b7a77c09192b4a5a200ea992702734a2e9279a37f2478236f26", size = 219499, upload-time = "2025-09-08T23:23:09.648Z" }, + { url = "https://files.pythonhosted.org/packages/50/e1/a969e687fcf9ea58e6e2a928ad5e2dd88cc12f6f0ab477e9971f2309b57c/cffi-2.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d9b29c1f0ae438d5ee9acb31cadee00a58c46cc9c0b2f9038c6b0b3470877a8c", size = 222928, upload-time = "2025-09-08T23:23:10.928Z" }, + { url = "https://files.pythonhosted.org/packages/36/54/0362578dd2c9e557a28ac77698ed67323ed5b9775ca9d3fe73fe191bb5d8/cffi-2.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6d50360be4546678fc1b79ffe7a66265e28667840010348dd69a314145807a1b", size = 221302, upload-time = "2025-09-08T23:23:12.42Z" }, + { url = "https://files.pythonhosted.org/packages/eb/6d/bf9bda840d5f1dfdbf0feca87fbdb64a918a69bca42cfa0ba7b137c48cb8/cffi-2.0.0-cp313-cp313-win32.whl", hash = "sha256:74a03b9698e198d47562765773b4a8309919089150a0bb17d829ad7b44b60d27", size = 172909, upload-time = "2025-09-08T23:23:14.32Z" }, + { url = "https://files.pythonhosted.org/packages/37/18/6519e1ee6f5a1e579e04b9ddb6f1676c17368a7aba48299c3759bbc3c8b3/cffi-2.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:19f705ada2530c1167abacb171925dd886168931e0a7b78f5bffcae5c6b5be75", size = 183402, upload-time = "2025-09-08T23:23:15.535Z" }, + { url = "https://files.pythonhosted.org/packages/cb/0e/02ceeec9a7d6ee63bb596121c2c8e9b3a9e150936f4fbef6ca1943e6137c/cffi-2.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:256f80b80ca3853f90c21b23ee78cd008713787b1b1e93eae9f3d6a7134abd91", size = 177780, upload-time = "2025-09-08T23:23:16.761Z" }, + { url = "https://files.pythonhosted.org/packages/92/c4/3ce07396253a83250ee98564f8d7e9789fab8e58858f35d07a9a2c78de9f/cffi-2.0.0-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fc33c5141b55ed366cfaad382df24fe7dcbc686de5be719b207bb248e3053dc5", size = 185320, upload-time = "2025-09-08T23:23:18.087Z" }, + { url = "https://files.pythonhosted.org/packages/59/dd/27e9fa567a23931c838c6b02d0764611c62290062a6d4e8ff7863daf9730/cffi-2.0.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c654de545946e0db659b3400168c9ad31b5d29593291482c43e3564effbcee13", size = 181487, upload-time = "2025-09-08T23:23:19.622Z" }, + { url = "https://files.pythonhosted.org/packages/d6/43/0e822876f87ea8a4ef95442c3d766a06a51fc5298823f884ef87aaad168c/cffi-2.0.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:24b6f81f1983e6df8db3adc38562c83f7d4a0c36162885ec7f7b77c7dcbec97b", size = 220049, upload-time = "2025-09-08T23:23:20.853Z" }, + { url = "https://files.pythonhosted.org/packages/b4/89/76799151d9c2d2d1ead63c2429da9ea9d7aac304603de0c6e8764e6e8e70/cffi-2.0.0-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:12873ca6cb9b0f0d3a0da705d6086fe911591737a59f28b7936bdfed27c0d47c", size = 207793, upload-time = "2025-09-08T23:23:22.08Z" }, + { url = "https://files.pythonhosted.org/packages/bb/dd/3465b14bb9e24ee24cb88c9e3730f6de63111fffe513492bf8c808a3547e/cffi-2.0.0-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:d9b97165e8aed9272a6bb17c01e3cc5871a594a446ebedc996e2397a1c1ea8ef", size = 206300, upload-time = "2025-09-08T23:23:23.314Z" }, + { url = "https://files.pythonhosted.org/packages/47/d9/d83e293854571c877a92da46fdec39158f8d7e68da75bf73581225d28e90/cffi-2.0.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:afb8db5439b81cf9c9d0c80404b60c3cc9c3add93e114dcae767f1477cb53775", size = 219244, upload-time = "2025-09-08T23:23:24.541Z" }, + { url = "https://files.pythonhosted.org/packages/2b/0f/1f177e3683aead2bb00f7679a16451d302c436b5cbf2505f0ea8146ef59e/cffi-2.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:737fe7d37e1a1bffe70bd5754ea763a62a066dc5913ca57e957824b72a85e205", size = 222828, upload-time = "2025-09-08T23:23:26.143Z" }, + { url = "https://files.pythonhosted.org/packages/c6/0f/cafacebd4b040e3119dcb32fed8bdef8dfe94da653155f9d0b9dc660166e/cffi-2.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:38100abb9d1b1435bc4cc340bb4489635dc2f0da7456590877030c9b3d40b0c1", size = 220926, upload-time = "2025-09-08T23:23:27.873Z" }, + { url = "https://files.pythonhosted.org/packages/3e/aa/df335faa45b395396fcbc03de2dfcab242cd61a9900e914fe682a59170b1/cffi-2.0.0-cp314-cp314-win32.whl", hash = "sha256:087067fa8953339c723661eda6b54bc98c5625757ea62e95eb4898ad5e776e9f", size = 175328, upload-time = "2025-09-08T23:23:44.61Z" }, + { url = "https://files.pythonhosted.org/packages/bb/92/882c2d30831744296ce713f0feb4c1cd30f346ef747b530b5318715cc367/cffi-2.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:203a48d1fb583fc7d78a4c6655692963b860a417c0528492a6bc21f1aaefab25", size = 185650, upload-time = "2025-09-08T23:23:45.848Z" }, + { url = "https://files.pythonhosted.org/packages/9f/2c/98ece204b9d35a7366b5b2c6539c350313ca13932143e79dc133ba757104/cffi-2.0.0-cp314-cp314-win_arm64.whl", hash = "sha256:dbd5c7a25a7cb98f5ca55d258b103a2054f859a46ae11aaf23134f9cc0d356ad", size = 180687, upload-time = "2025-09-08T23:23:47.105Z" }, + { url = "https://files.pythonhosted.org/packages/3e/61/c768e4d548bfa607abcda77423448df8c471f25dbe64fb2ef6d555eae006/cffi-2.0.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:9a67fc9e8eb39039280526379fb3a70023d77caec1852002b4da7e8b270c4dd9", size = 188773, upload-time = "2025-09-08T23:23:29.347Z" }, + { url = "https://files.pythonhosted.org/packages/2c/ea/5f76bce7cf6fcd0ab1a1058b5af899bfbef198bea4d5686da88471ea0336/cffi-2.0.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7a66c7204d8869299919db4d5069a82f1561581af12b11b3c9f48c584eb8743d", size = 185013, upload-time = "2025-09-08T23:23:30.63Z" }, + { url = "https://files.pythonhosted.org/packages/be/b4/c56878d0d1755cf9caa54ba71e5d049479c52f9e4afc230f06822162ab2f/cffi-2.0.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7cc09976e8b56f8cebd752f7113ad07752461f48a58cbba644139015ac24954c", size = 221593, upload-time = "2025-09-08T23:23:31.91Z" }, + { url = "https://files.pythonhosted.org/packages/e0/0d/eb704606dfe8033e7128df5e90fee946bbcb64a04fcdaa97321309004000/cffi-2.0.0-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:92b68146a71df78564e4ef48af17551a5ddd142e5190cdf2c5624d0c3ff5b2e8", size = 209354, upload-time = "2025-09-08T23:23:33.214Z" }, + { url = "https://files.pythonhosted.org/packages/d8/19/3c435d727b368ca475fb8742ab97c9cb13a0de600ce86f62eab7fa3eea60/cffi-2.0.0-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:b1e74d11748e7e98e2f426ab176d4ed720a64412b6a15054378afdb71e0f37dc", size = 208480, upload-time = "2025-09-08T23:23:34.495Z" }, + { url = "https://files.pythonhosted.org/packages/d0/44/681604464ed9541673e486521497406fadcc15b5217c3e326b061696899a/cffi-2.0.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:28a3a209b96630bca57cce802da70c266eb08c6e97e5afd61a75611ee6c64592", size = 221584, upload-time = "2025-09-08T23:23:36.096Z" }, + { url = "https://files.pythonhosted.org/packages/25/8e/342a504ff018a2825d395d44d63a767dd8ebc927ebda557fecdaca3ac33a/cffi-2.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:7553fb2090d71822f02c629afe6042c299edf91ba1bf94951165613553984512", size = 224443, upload-time = "2025-09-08T23:23:37.328Z" }, + { url = "https://files.pythonhosted.org/packages/e1/5e/b666bacbbc60fbf415ba9988324a132c9a7a0448a9a8f125074671c0f2c3/cffi-2.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:6c6c373cfc5c83a975506110d17457138c8c63016b563cc9ed6e056a82f13ce4", size = 223437, upload-time = "2025-09-08T23:23:38.945Z" }, + { url = "https://files.pythonhosted.org/packages/a0/1d/ec1a60bd1a10daa292d3cd6bb0b359a81607154fb8165f3ec95fe003b85c/cffi-2.0.0-cp314-cp314t-win32.whl", hash = "sha256:1fc9ea04857caf665289b7a75923f2c6ed559b8298a1b8c49e59f7dd95c8481e", size = 180487, upload-time = "2025-09-08T23:23:40.423Z" }, + { url = "https://files.pythonhosted.org/packages/bf/41/4c1168c74fac325c0c8156f04b6749c8b6a8f405bbf91413ba088359f60d/cffi-2.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:d68b6cef7827e8641e8ef16f4494edda8b36104d79773a334beaa1e3521430f6", size = 191726, upload-time = "2025-09-08T23:23:41.742Z" }, + { url = "https://files.pythonhosted.org/packages/ae/3a/dbeec9d1ee0844c679f6bb5d6ad4e9f198b1224f4e7a32825f47f6192b0c/cffi-2.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9", size = 184195, upload-time = "2025-09-08T23:23:43.004Z" }, ] [[package]] @@ -381,13 +454,11 @@ version = "1.3.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "matplotlib" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "pandas" }, { name = "pillow" }, { name = "pydantic" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scipy" }, { name = "statsmodels" }, ] sdist = { url = "https://files.pythonhosted.org/packages/90/80/c2adde689b8fdd928c80d8a25b4f782ea6dcc00be51f2f2a87d03aab524a/chainconsumer-1.3.0.tar.gz", hash = "sha256:58e81213fd7506af589f376798c9aa8e6966cc2b00c99a6b2db01587eade8bef", size = 44917, upload-time = "2025-12-12T06:23:35.191Z" } @@ -397,14 +468,14 @@ wheels = [ [[package]] name = "click" -version = "8.3.1" +version = "8.3.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "colorama", marker = "sys_platform == 'win32'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/3d/fa/656b739db8587d7b5dfa22e22ed02566950fbfbcdc20311993483657a5c0/click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a", size = 295065, upload-time = "2025-11-15T20:45:42.706Z" } +sdist = { url = "https://files.pythonhosted.org/packages/57/75/31212c6bf2503fdf920d87fee5d7a86a2e3bcf444984126f13d8e4016804/click-8.3.2.tar.gz", hash = "sha256:14162b8b3b3550a7d479eafa77dfd3c38d9dc8951f6f69c78913a8f9a7540fd5", size = 302856, upload-time = "2026-04-03T19:14:45.118Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/98/78/01c019cdb5d6498122777c1a43056ebb3ebfeef2076d9d026bfe15583b2b/click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6", size = 108274, upload-time = "2025-11-15T20:45:41.139Z" }, + { url = "https://files.pythonhosted.org/packages/e4/20/71885d8b97d4f3dde17b1fdb92dbd4908b00541c5a3379787137285f602e/click-8.3.2-py3-none-any.whl", hash = "sha256:1924d2c27c5653561cd2cae4548d1406039cb79b858b747cfea24924bbc1616d", size = 108379, upload-time = "2026-04-03T19:14:43.505Z" }, ] [[package]] @@ -434,66 +505,12 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/60/97/891a0971e1e4a8c5d2b20bbe0e524dc04548d2307fee33cdeba148fd4fc7/comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417", size = 7294, upload-time = "2025-07-25T14:02:02.896Z" }, ] -[[package]] -name = "contourpy" -version = "1.3.2" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11'", -] -dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/66/54/eb9bfc647b19f2009dd5c7f5ec51c4e6ca831725f1aea7a993034f483147/contourpy-1.3.2.tar.gz", hash = "sha256:b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54", size = 13466130, upload-time = "2025-04-15T17:47:53.79Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/12/a3/da4153ec8fe25d263aa48c1a4cbde7f49b59af86f0b6f7862788c60da737/contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934", size = 268551, upload-time = "2025-04-15T17:34:46.581Z" }, - { url = "https://files.pythonhosted.org/packages/2f/6c/330de89ae1087eb622bfca0177d32a7ece50c3ef07b28002de4757d9d875/contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989", size = 253399, upload-time = "2025-04-15T17:34:51.427Z" }, - { url = "https://files.pythonhosted.org/packages/c1/bd/20c6726b1b7f81a8bee5271bed5c165f0a8e1f572578a9d27e2ccb763cb2/contourpy-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9be002b31c558d1ddf1b9b415b162c603405414bacd6932d031c5b5a8b757f0d", size = 312061, upload-time = "2025-04-15T17:34:55.961Z" }, - { url = "https://files.pythonhosted.org/packages/22/fc/a9665c88f8a2473f823cf1ec601de9e5375050f1958cbb356cdf06ef1ab6/contourpy-1.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8d2e74acbcba3bfdb6d9d8384cdc4f9260cae86ed9beee8bd5f54fee49a430b9", size = 351956, upload-time = "2025-04-15T17:35:00.992Z" }, - { url = "https://files.pythonhosted.org/packages/25/eb/9f0a0238f305ad8fb7ef42481020d6e20cf15e46be99a1fcf939546a177e/contourpy-1.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e259bced5549ac64410162adc973c5e2fb77f04df4a439d00b478e57a0e65512", size = 320872, upload-time = "2025-04-15T17:35:06.177Z" }, - { url = "https://files.pythonhosted.org/packages/32/5c/1ee32d1c7956923202f00cf8d2a14a62ed7517bdc0ee1e55301227fc273c/contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad687a04bc802cbe8b9c399c07162a3c35e227e2daccf1668eb1f278cb698631", size = 325027, upload-time = "2025-04-15T17:35:11.244Z" }, - { url = "https://files.pythonhosted.org/packages/83/bf/9baed89785ba743ef329c2b07fd0611d12bfecbedbdd3eeecf929d8d3b52/contourpy-1.3.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cdd22595308f53ef2f891040ab2b93d79192513ffccbd7fe19be7aa773a5e09f", size = 1306641, upload-time = "2025-04-15T17:35:26.701Z" }, - { url = "https://files.pythonhosted.org/packages/d4/cc/74e5e83d1e35de2d28bd97033426b450bc4fd96e092a1f7a63dc7369b55d/contourpy-1.3.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b4f54d6a2defe9f257327b0f243612dd051cc43825587520b1bf74a31e2f6ef2", size = 1374075, upload-time = "2025-04-15T17:35:43.204Z" }, - { url = "https://files.pythonhosted.org/packages/0c/42/17f3b798fd5e033b46a16f8d9fcb39f1aba051307f5ebf441bad1ecf78f8/contourpy-1.3.2-cp310-cp310-win32.whl", hash = "sha256:f939a054192ddc596e031e50bb13b657ce318cf13d264f095ce9db7dc6ae81c0", size = 177534, upload-time = "2025-04-15T17:35:46.554Z" }, - { url = "https://files.pythonhosted.org/packages/54/ec/5162b8582f2c994721018d0c9ece9dc6ff769d298a8ac6b6a652c307e7df/contourpy-1.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:c440093bbc8fc21c637c03bafcbef95ccd963bc6e0514ad887932c18ca2a759a", size = 221188, upload-time = "2025-04-15T17:35:50.064Z" }, - { url = "https://files.pythonhosted.org/packages/b3/b9/ede788a0b56fc5b071639d06c33cb893f68b1178938f3425debebe2dab78/contourpy-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6a37a2fb93d4df3fc4c0e363ea4d16f83195fc09c891bc8ce072b9d084853445", size = 269636, upload-time = "2025-04-15T17:35:54.473Z" }, - { url = "https://files.pythonhosted.org/packages/e6/75/3469f011d64b8bbfa04f709bfc23e1dd71be54d05b1b083be9f5b22750d1/contourpy-1.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b7cd50c38f500bbcc9b6a46643a40e0913673f869315d8e70de0438817cb7773", size = 254636, upload-time = "2025-04-15T17:35:58.283Z" }, - { url = "https://files.pythonhosted.org/packages/8d/2f/95adb8dae08ce0ebca4fd8e7ad653159565d9739128b2d5977806656fcd2/contourpy-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6658ccc7251a4433eebd89ed2672c2ed96fba367fd25ca9512aa92a4b46c4f1", size = 313053, upload-time = "2025-04-15T17:36:03.235Z" }, - { url = "https://files.pythonhosted.org/packages/c3/a6/8ccf97a50f31adfa36917707fe39c9a0cbc24b3bbb58185577f119736cc9/contourpy-1.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:70771a461aaeb335df14deb6c97439973d253ae70660ca085eec25241137ef43", size = 352985, upload-time = "2025-04-15T17:36:08.275Z" }, - { url = "https://files.pythonhosted.org/packages/1d/b6/7925ab9b77386143f39d9c3243fdd101621b4532eb126743201160ffa7e6/contourpy-1.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65a887a6e8c4cd0897507d814b14c54a8c2e2aa4ac9f7686292f9769fcf9a6ab", size = 323750, upload-time = "2025-04-15T17:36:13.29Z" }, - { url = "https://files.pythonhosted.org/packages/c2/f3/20c5d1ef4f4748e52d60771b8560cf00b69d5c6368b5c2e9311bcfa2a08b/contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3859783aefa2b8355697f16642695a5b9792e7a46ab86da1118a4a23a51a33d7", size = 326246, upload-time = "2025-04-15T17:36:18.329Z" }, - { url = "https://files.pythonhosted.org/packages/8c/e5/9dae809e7e0b2d9d70c52b3d24cba134dd3dad979eb3e5e71f5df22ed1f5/contourpy-1.3.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:eab0f6db315fa4d70f1d8ab514e527f0366ec021ff853d7ed6a2d33605cf4b83", size = 1308728, upload-time = "2025-04-15T17:36:33.878Z" }, - { url = "https://files.pythonhosted.org/packages/e2/4a/0058ba34aeea35c0b442ae61a4f4d4ca84d6df8f91309bc2d43bb8dd248f/contourpy-1.3.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d91a3ccc7fea94ca0acab82ceb77f396d50a1f67412efe4c526f5d20264e6ecd", size = 1375762, upload-time = "2025-04-15T17:36:51.295Z" }, - { url = "https://files.pythonhosted.org/packages/09/33/7174bdfc8b7767ef2c08ed81244762d93d5c579336fc0b51ca57b33d1b80/contourpy-1.3.2-cp311-cp311-win32.whl", hash = "sha256:1c48188778d4d2f3d48e4643fb15d8608b1d01e4b4d6b0548d9b336c28fc9b6f", size = 178196, upload-time = "2025-04-15T17:36:55.002Z" }, - { url = "https://files.pythonhosted.org/packages/5e/fe/4029038b4e1c4485cef18e480b0e2cd2d755448bb071eb9977caac80b77b/contourpy-1.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:5ebac872ba09cb8f2131c46b8739a7ff71de28a24c869bcad554477eb089a878", size = 222017, upload-time = "2025-04-15T17:36:58.576Z" }, - { url = "https://files.pythonhosted.org/packages/34/f7/44785876384eff370c251d58fd65f6ad7f39adce4a093c934d4a67a7c6b6/contourpy-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4caf2bcd2969402bf77edc4cb6034c7dd7c0803213b3523f111eb7460a51b8d2", size = 271580, upload-time = "2025-04-15T17:37:03.105Z" }, - { url = "https://files.pythonhosted.org/packages/93/3b/0004767622a9826ea3d95f0e9d98cd8729015768075d61f9fea8eeca42a8/contourpy-1.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:82199cb78276249796419fe36b7386bd8d2cc3f28b3bc19fe2454fe2e26c4c15", size = 255530, upload-time = "2025-04-15T17:37:07.026Z" }, - { url = "https://files.pythonhosted.org/packages/e7/bb/7bd49e1f4fa805772d9fd130e0d375554ebc771ed7172f48dfcd4ca61549/contourpy-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:106fab697af11456fcba3e352ad50effe493a90f893fca6c2ca5c033820cea92", size = 307688, upload-time = "2025-04-15T17:37:11.481Z" }, - { url = "https://files.pythonhosted.org/packages/fc/97/e1d5dbbfa170725ef78357a9a0edc996b09ae4af170927ba8ce977e60a5f/contourpy-1.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d14f12932a8d620e307f715857107b1d1845cc44fdb5da2bc8e850f5ceba9f87", size = 347331, upload-time = "2025-04-15T17:37:18.212Z" }, - { url = "https://files.pythonhosted.org/packages/6f/66/e69e6e904f5ecf6901be3dd16e7e54d41b6ec6ae3405a535286d4418ffb4/contourpy-1.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:532fd26e715560721bb0d5fc7610fce279b3699b018600ab999d1be895b09415", size = 318963, upload-time = "2025-04-15T17:37:22.76Z" }, - { url = "https://files.pythonhosted.org/packages/a8/32/b8a1c8965e4f72482ff2d1ac2cd670ce0b542f203c8e1d34e7c3e6925da7/contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26b383144cf2d2c29f01a1e8170f50dacf0eac02d64139dcd709a8ac4eb3cfe", size = 323681, upload-time = "2025-04-15T17:37:33.001Z" }, - { url = "https://files.pythonhosted.org/packages/30/c6/12a7e6811d08757c7162a541ca4c5c6a34c0f4e98ef2b338791093518e40/contourpy-1.3.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c49f73e61f1f774650a55d221803b101d966ca0c5a2d6d5e4320ec3997489441", size = 1308674, upload-time = "2025-04-15T17:37:48.64Z" }, - { url = "https://files.pythonhosted.org/packages/2a/8a/bebe5a3f68b484d3a2b8ffaf84704b3e343ef1addea528132ef148e22b3b/contourpy-1.3.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3d80b2c0300583228ac98d0a927a1ba6a2ba6b8a742463c564f1d419ee5b211e", size = 1380480, upload-time = "2025-04-15T17:38:06.7Z" }, - { url = "https://files.pythonhosted.org/packages/34/db/fcd325f19b5978fb509a7d55e06d99f5f856294c1991097534360b307cf1/contourpy-1.3.2-cp312-cp312-win32.whl", hash = "sha256:90df94c89a91b7362e1142cbee7568f86514412ab8a2c0d0fca72d7e91b62912", size = 178489, upload-time = "2025-04-15T17:38:10.338Z" }, - { url = "https://files.pythonhosted.org/packages/01/c8/fadd0b92ffa7b5eb5949bf340a63a4a496a6930a6c37a7ba0f12acb076d6/contourpy-1.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:8c942a01d9163e2e5cfb05cb66110121b8d07ad438a17f9e766317bcb62abf73", size = 223042, upload-time = "2025-04-15T17:38:14.239Z" }, - { url = "https://files.pythonhosted.org/packages/33/05/b26e3c6ecc05f349ee0013f0bb850a761016d89cec528a98193a48c34033/contourpy-1.3.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fd93cc7f3139b6dd7aab2f26a90dde0aa9fc264dbf70f6740d498a70b860b82c", size = 265681, upload-time = "2025-04-15T17:44:59.314Z" }, - { url = "https://files.pythonhosted.org/packages/2b/25/ac07d6ad12affa7d1ffed11b77417d0a6308170f44ff20fa1d5aa6333f03/contourpy-1.3.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:107ba8a6a7eec58bb475329e6d3b95deba9440667c4d62b9b6063942b61d7f16", size = 315101, upload-time = "2025-04-15T17:45:04.165Z" }, - { url = "https://files.pythonhosted.org/packages/8f/4d/5bb3192bbe9d3f27e3061a6a8e7733c9120e203cb8515767d30973f71030/contourpy-1.3.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ded1706ed0c1049224531b81128efbd5084598f18d8a2d9efae833edbd2b40ad", size = 220599, upload-time = "2025-04-15T17:45:08.456Z" }, - { url = "https://files.pythonhosted.org/packages/ff/c0/91f1215d0d9f9f343e4773ba6c9b89e8c0cc7a64a6263f21139da639d848/contourpy-1.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5f5964cdad279256c084b69c3f412b7801e15356b16efa9d78aa974041903da0", size = 266807, upload-time = "2025-04-15T17:45:15.535Z" }, - { url = "https://files.pythonhosted.org/packages/d4/79/6be7e90c955c0487e7712660d6cead01fa17bff98e0ea275737cc2bc8e71/contourpy-1.3.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49b65a95d642d4efa8f64ba12558fcb83407e58a2dfba9d796d77b63ccfcaff5", size = 318729, upload-time = "2025-04-15T17:45:20.166Z" }, - { url = "https://files.pythonhosted.org/packages/87/68/7f46fb537958e87427d98a4074bcde4b67a70b04900cfc5ce29bc2f556c1/contourpy-1.3.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:8c5acb8dddb0752bf252e01a3035b21443158910ac16a3b0d20e7fed7d534ce5", size = 221791, upload-time = "2025-04-15T17:45:24.794Z" }, -] - [[package]] name = "contourpy" version = "1.3.3" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", -] dependencies = [ - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/58/01/1253e6698a07380cd31a736d248a3f2a50a7c88779a1813da27503cadc2a/contourpy-1.3.3.tar.gz", hash = "sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880", size = 13466174, upload-time = "2025-07-26T12:03:12.549Z" } wheels = [ @@ -519,6 +536,50 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/cf/8f/5847f44a7fddf859704217a99a23a4f6417b10e5ab1256a179264561540e/contourpy-1.3.3-cp312-cp312-win32.whl", hash = "sha256:023b44101dfe49d7d53932be418477dba359649246075c996866106da069af69", size = 185018, upload-time = "2025-07-26T12:01:35.64Z" }, { url = "https://files.pythonhosted.org/packages/19/e8/6026ed58a64563186a9ee3f29f41261fd1828f527dd93d33b60feca63352/contourpy-1.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:8153b8bfc11e1e4d75bcb0bff1db232f9e10b274e0929de9d608027e0d34ff8b", size = 226567, upload-time = "2025-07-26T12:01:36.804Z" }, { url = "https://files.pythonhosted.org/packages/d1/e2/f05240d2c39a1ed228d8328a78b6f44cd695f7ef47beb3e684cf93604f86/contourpy-1.3.3-cp312-cp312-win_arm64.whl", hash = "sha256:07ce5ed73ecdc4a03ffe3e1b3e3c1166db35ae7584be76f65dbbe28a7791b0cc", size = 193655, upload-time = "2025-07-26T12:01:37.999Z" }, + { url = "https://files.pythonhosted.org/packages/68/35/0167aad910bbdb9599272bd96d01a9ec6852f36b9455cf2ca67bd4cc2d23/contourpy-1.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:177fb367556747a686509d6fef71d221a4b198a3905fe824430e5ea0fda54eb5", size = 293257, upload-time = "2025-07-26T12:01:39.367Z" }, + { url = "https://files.pythonhosted.org/packages/96/e4/7adcd9c8362745b2210728f209bfbcf7d91ba868a2c5f40d8b58f54c509b/contourpy-1.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d002b6f00d73d69333dac9d0b8d5e84d9724ff9ef044fd63c5986e62b7c9e1b1", size = 274034, upload-time = "2025-07-26T12:01:40.645Z" }, + { url = "https://files.pythonhosted.org/packages/73/23/90e31ceeed1de63058a02cb04b12f2de4b40e3bef5e082a7c18d9c8ae281/contourpy-1.3.3-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:348ac1f5d4f1d66d3322420f01d42e43122f43616e0f194fc1c9f5d830c5b286", size = 334672, upload-time = "2025-07-26T12:01:41.942Z" }, + { url = "https://files.pythonhosted.org/packages/ed/93/b43d8acbe67392e659e1d984700e79eb67e2acb2bd7f62012b583a7f1b55/contourpy-1.3.3-cp313-cp313-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:655456777ff65c2c548b7c454af9c6f33f16c8884f11083244b5819cc214f1b5", size = 381234, upload-time = "2025-07-26T12:01:43.499Z" }, + { url = "https://files.pythonhosted.org/packages/46/3b/bec82a3ea06f66711520f75a40c8fc0b113b2a75edb36aa633eb11c4f50f/contourpy-1.3.3-cp313-cp313-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:644a6853d15b2512d67881586bd03f462c7ab755db95f16f14d7e238f2852c67", size = 385169, upload-time = "2025-07-26T12:01:45.219Z" }, + { url = "https://files.pythonhosted.org/packages/4b/32/e0f13a1c5b0f8572d0ec6ae2f6c677b7991fafd95da523159c19eff0696a/contourpy-1.3.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4debd64f124ca62069f313a9cb86656ff087786016d76927ae2cf37846b006c9", size = 362859, upload-time = "2025-07-26T12:01:46.519Z" }, + { url = "https://files.pythonhosted.org/packages/33/71/e2a7945b7de4e58af42d708a219f3b2f4cff7386e6b6ab0a0fa0033c49a9/contourpy-1.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a15459b0f4615b00bbd1e91f1b9e19b7e63aea7483d03d804186f278c0af2659", size = 1332062, upload-time = "2025-07-26T12:01:48.964Z" }, + { url = "https://files.pythonhosted.org/packages/12/fc/4e87ac754220ccc0e807284f88e943d6d43b43843614f0a8afa469801db0/contourpy-1.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ca0fdcd73925568ca027e0b17ab07aad764be4706d0a925b89227e447d9737b7", size = 1403932, upload-time = "2025-07-26T12:01:51.979Z" }, + { url = "https://files.pythonhosted.org/packages/a6/2e/adc197a37443f934594112222ac1aa7dc9a98faf9c3842884df9a9d8751d/contourpy-1.3.3-cp313-cp313-win32.whl", hash = "sha256:b20c7c9a3bf701366556e1b1984ed2d0cedf999903c51311417cf5f591d8c78d", size = 185024, upload-time = "2025-07-26T12:01:53.245Z" }, + { url = "https://files.pythonhosted.org/packages/18/0b/0098c214843213759692cc638fce7de5c289200a830e5035d1791d7a2338/contourpy-1.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:1cadd8b8969f060ba45ed7c1b714fe69185812ab43bd6b86a9123fe8f99c3263", size = 226578, upload-time = "2025-07-26T12:01:54.422Z" }, + { url = "https://files.pythonhosted.org/packages/8a/9a/2f6024a0c5995243cd63afdeb3651c984f0d2bc727fd98066d40e141ad73/contourpy-1.3.3-cp313-cp313-win_arm64.whl", hash = "sha256:fd914713266421b7536de2bfa8181aa8c699432b6763a0ea64195ebe28bff6a9", size = 193524, upload-time = "2025-07-26T12:01:55.73Z" }, + { url = "https://files.pythonhosted.org/packages/c0/b3/f8a1a86bd3298513f500e5b1f5fd92b69896449f6cab6a146a5d52715479/contourpy-1.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:88df9880d507169449d434c293467418b9f6cbe82edd19284aa0409e7fdb933d", size = 306730, upload-time = "2025-07-26T12:01:57.051Z" }, + { url = "https://files.pythonhosted.org/packages/3f/11/4780db94ae62fc0c2053909b65dc3246bd7cecfc4f8a20d957ad43aa4ad8/contourpy-1.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:d06bb1f751ba5d417047db62bca3c8fde202b8c11fb50742ab3ab962c81e8216", size = 287897, upload-time = "2025-07-26T12:01:58.663Z" }, + { url = "https://files.pythonhosted.org/packages/ae/15/e59f5f3ffdd6f3d4daa3e47114c53daabcb18574a26c21f03dc9e4e42ff0/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e4e6b05a45525357e382909a4c1600444e2a45b4795163d3b22669285591c1ae", size = 326751, upload-time = "2025-07-26T12:02:00.343Z" }, + { url = "https://files.pythonhosted.org/packages/0f/81/03b45cfad088e4770b1dcf72ea78d3802d04200009fb364d18a493857210/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ab3074b48c4e2cf1a960e6bbeb7f04566bf36b1861d5c9d4d8ac04b82e38ba20", size = 375486, upload-time = "2025-07-26T12:02:02.128Z" }, + { url = "https://files.pythonhosted.org/packages/0c/ba/49923366492ffbdd4486e970d421b289a670ae8cf539c1ea9a09822b371a/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6c3d53c796f8647d6deb1abe867daeb66dcc8a97e8455efa729516b997b8ed99", size = 388106, upload-time = "2025-07-26T12:02:03.615Z" }, + { url = "https://files.pythonhosted.org/packages/9f/52/5b00ea89525f8f143651f9f03a0df371d3cbd2fccd21ca9b768c7a6500c2/contourpy-1.3.3-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:50ed930df7289ff2a8d7afeb9603f8289e5704755c7e5c3bbd929c90c817164b", size = 352548, upload-time = "2025-07-26T12:02:05.165Z" }, + { url = "https://files.pythonhosted.org/packages/32/1d/a209ec1a3a3452d490f6b14dd92e72280c99ae3d1e73da74f8277d4ee08f/contourpy-1.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4feffb6537d64b84877da813a5c30f1422ea5739566abf0bd18065ac040e120a", size = 1322297, upload-time = "2025-07-26T12:02:07.379Z" }, + { url = "https://files.pythonhosted.org/packages/bc/9e/46f0e8ebdd884ca0e8877e46a3f4e633f6c9c8c4f3f6e72be3fe075994aa/contourpy-1.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:2b7e9480ffe2b0cd2e787e4df64270e3a0440d9db8dc823312e2c940c167df7e", size = 1391023, upload-time = "2025-07-26T12:02:10.171Z" }, + { url = "https://files.pythonhosted.org/packages/b9/70/f308384a3ae9cd2209e0849f33c913f658d3326900d0ff5d378d6a1422d2/contourpy-1.3.3-cp313-cp313t-win32.whl", hash = "sha256:283edd842a01e3dcd435b1c5116798d661378d83d36d337b8dde1d16a5fc9ba3", size = 196157, upload-time = "2025-07-26T12:02:11.488Z" }, + { url = "https://files.pythonhosted.org/packages/b2/dd/880f890a6663b84d9e34a6f88cded89d78f0091e0045a284427cb6b18521/contourpy-1.3.3-cp313-cp313t-win_amd64.whl", hash = "sha256:87acf5963fc2b34825e5b6b048f40e3635dd547f590b04d2ab317c2619ef7ae8", size = 240570, upload-time = "2025-07-26T12:02:12.754Z" }, + { url = "https://files.pythonhosted.org/packages/80/99/2adc7d8ffead633234817ef8e9a87115c8a11927a94478f6bb3d3f4d4f7d/contourpy-1.3.3-cp313-cp313t-win_arm64.whl", hash = "sha256:3c30273eb2a55024ff31ba7d052dde990d7d8e5450f4bbb6e913558b3d6c2301", size = 199713, upload-time = "2025-07-26T12:02:14.4Z" }, + { url = "https://files.pythonhosted.org/packages/72/8b/4546f3ab60f78c514ffb7d01a0bd743f90de36f0019d1be84d0a708a580a/contourpy-1.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fde6c716d51c04b1c25d0b90364d0be954624a0ee9d60e23e850e8d48353d07a", size = 292189, upload-time = "2025-07-26T12:02:16.095Z" }, + { url = "https://files.pythonhosted.org/packages/fd/e1/3542a9cb596cadd76fcef413f19c79216e002623158befe6daa03dbfa88c/contourpy-1.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:cbedb772ed74ff5be440fa8eee9bd49f64f6e3fc09436d9c7d8f1c287b121d77", size = 273251, upload-time = "2025-07-26T12:02:17.524Z" }, + { url = "https://files.pythonhosted.org/packages/b1/71/f93e1e9471d189f79d0ce2497007731c1e6bf9ef6d1d61b911430c3db4e5/contourpy-1.3.3-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22e9b1bd7a9b1d652cd77388465dc358dafcd2e217d35552424aa4f996f524f5", size = 335810, upload-time = "2025-07-26T12:02:18.9Z" }, + { url = "https://files.pythonhosted.org/packages/91/f9/e35f4c1c93f9275d4e38681a80506b5510e9327350c51f8d4a5a724d178c/contourpy-1.3.3-cp314-cp314-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a22738912262aa3e254e4f3cb079a95a67132fc5a063890e224393596902f5a4", size = 382871, upload-time = "2025-07-26T12:02:20.418Z" }, + { url = "https://files.pythonhosted.org/packages/b5/71/47b512f936f66a0a900d81c396a7e60d73419868fba959c61efed7a8ab46/contourpy-1.3.3-cp314-cp314-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:afe5a512f31ee6bd7d0dda52ec9864c984ca3d66664444f2d72e0dc4eb832e36", size = 386264, upload-time = "2025-07-26T12:02:21.916Z" }, + { url = "https://files.pythonhosted.org/packages/04/5f/9ff93450ba96b09c7c2b3f81c94de31c89f92292f1380261bd7195bea4ea/contourpy-1.3.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f64836de09927cba6f79dcd00fdd7d5329f3fccc633468507079c829ca4db4e3", size = 363819, upload-time = "2025-07-26T12:02:23.759Z" }, + { url = "https://files.pythonhosted.org/packages/3e/a6/0b185d4cc480ee494945cde102cb0149ae830b5fa17bf855b95f2e70ad13/contourpy-1.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:1fd43c3be4c8e5fd6e4f2baeae35ae18176cf2e5cced681cca908addf1cdd53b", size = 1333650, upload-time = "2025-07-26T12:02:26.181Z" }, + { url = "https://files.pythonhosted.org/packages/43/d7/afdc95580ca56f30fbcd3060250f66cedbde69b4547028863abd8aa3b47e/contourpy-1.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6afc576f7b33cf00996e5c1102dc2a8f7cc89e39c0b55df93a0b78c1bd992b36", size = 1404833, upload-time = "2025-07-26T12:02:28.782Z" }, + { url = "https://files.pythonhosted.org/packages/e2/e2/366af18a6d386f41132a48f033cbd2102e9b0cf6345d35ff0826cd984566/contourpy-1.3.3-cp314-cp314-win32.whl", hash = "sha256:66c8a43a4f7b8df8b71ee1840e4211a3c8d93b214b213f590e18a1beca458f7d", size = 189692, upload-time = "2025-07-26T12:02:30.128Z" }, + { url = "https://files.pythonhosted.org/packages/7d/c2/57f54b03d0f22d4044b8afb9ca0e184f8b1afd57b4f735c2fa70883dc601/contourpy-1.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:cf9022ef053f2694e31d630feaacb21ea24224be1c3ad0520b13d844274614fd", size = 232424, upload-time = "2025-07-26T12:02:31.395Z" }, + { url = "https://files.pythonhosted.org/packages/18/79/a9416650df9b525737ab521aa181ccc42d56016d2123ddcb7b58e926a42c/contourpy-1.3.3-cp314-cp314-win_arm64.whl", hash = "sha256:95b181891b4c71de4bb404c6621e7e2390745f887f2a026b2d99e92c17892339", size = 198300, upload-time = "2025-07-26T12:02:32.956Z" }, + { url = "https://files.pythonhosted.org/packages/1f/42/38c159a7d0f2b7b9c04c64ab317042bb6952b713ba875c1681529a2932fe/contourpy-1.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:33c82d0138c0a062380332c861387650c82e4cf1747aaa6938b9b6516762e772", size = 306769, upload-time = "2025-07-26T12:02:34.2Z" }, + { url = "https://files.pythonhosted.org/packages/c3/6c/26a8205f24bca10974e77460de68d3d7c63e282e23782f1239f226fcae6f/contourpy-1.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ea37e7b45949df430fe649e5de8351c423430046a2af20b1c1961cae3afcda77", size = 287892, upload-time = "2025-07-26T12:02:35.807Z" }, + { url = "https://files.pythonhosted.org/packages/66/06/8a475c8ab718ebfd7925661747dbb3c3ee9c82ac834ccb3570be49d129f4/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d304906ecc71672e9c89e87c4675dc5c2645e1f4269a5063b99b0bb29f232d13", size = 326748, upload-time = "2025-07-26T12:02:37.193Z" }, + { url = "https://files.pythonhosted.org/packages/b4/a3/c5ca9f010a44c223f098fccd8b158bb1cb287378a31ac141f04730dc49be/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ca658cd1a680a5c9ea96dc61cdbae1e85c8f25849843aa799dfd3cb370ad4fbe", size = 375554, upload-time = "2025-07-26T12:02:38.894Z" }, + { url = "https://files.pythonhosted.org/packages/80/5b/68bd33ae63fac658a4145088c1e894405e07584a316738710b636c6d0333/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ab2fd90904c503739a75b7c8c5c01160130ba67944a7b77bbf36ef8054576e7f", size = 388118, upload-time = "2025-07-26T12:02:40.642Z" }, + { url = "https://files.pythonhosted.org/packages/40/52/4c285a6435940ae25d7410a6c36bda5145839bc3f0beb20c707cda18b9d2/contourpy-1.3.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7301b89040075c30e5768810bc96a8e8d78085b47d8be6e4c3f5a0b4ed478a0", size = 352555, upload-time = "2025-07-26T12:02:42.25Z" }, + { url = "https://files.pythonhosted.org/packages/24/ee/3e81e1dd174f5c7fefe50e85d0892de05ca4e26ef1c9a59c2a57e43b865a/contourpy-1.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:2a2a8b627d5cc6b7c41a4beff6c5ad5eb848c88255fda4a8745f7e901b32d8e4", size = 1322295, upload-time = "2025-07-26T12:02:44.668Z" }, + { url = "https://files.pythonhosted.org/packages/3c/b2/6d913d4d04e14379de429057cd169e5e00f6c2af3bb13e1710bcbdb5da12/contourpy-1.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:fd6ec6be509c787f1caf6b247f0b1ca598bef13f4ddeaa126b7658215529ba0f", size = 1391027, upload-time = "2025-07-26T12:02:47.09Z" }, + { url = "https://files.pythonhosted.org/packages/93/8a/68a4ec5c55a2971213d29a9374913f7e9f18581945a7a31d1a39b5d2dfe5/contourpy-1.3.3-cp314-cp314t-win32.whl", hash = "sha256:e74a9a0f5e3fff48fb5a7f2fd2b9b70a3fe014a67522f79b7cca4c0c7e43c9ae", size = 202428, upload-time = "2025-07-26T12:02:48.691Z" }, + { url = "https://files.pythonhosted.org/packages/fa/96/fd9f641ffedc4fa3ace923af73b9d07e869496c9cc7a459103e6e978992f/contourpy-1.3.3-cp314-cp314t-win_amd64.whl", hash = "sha256:13b68d6a62db8eafaebb8039218921399baf6e47bf85006fd8529f2a08ef33fc", size = 250331, upload-time = "2025-07-26T12:02:50.137Z" }, + { url = "https://files.pythonhosted.org/packages/ae/8c/469afb6465b853afff216f9528ffda78a915ff880ed58813ba4faf4ba0b6/contourpy-1.3.3-cp314-cp314t-win_arm64.whl", hash = "sha256:b7448cb5a725bb1e35ce88771b86fba35ef418952474492cf7c764059933ff8b", size = 203831, upload-time = "2025-07-26T12:02:51.449Z" }, { url = "https://files.pythonhosted.org/packages/a5/29/8dcfe16f0107943fa92388c23f6e05cff0ba58058c4c95b00280d4c75a14/contourpy-1.3.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cd5dfcaeb10f7b7f9dc8941717c6c2ade08f587be2226222c12b25f0483ed497", size = 278809, upload-time = "2025-07-26T12:02:52.74Z" }, { url = "https://files.pythonhosted.org/packages/85/a9/8b37ef4f7dafeb335daee3c8254645ef5725be4d9c6aa70b50ec46ef2f7e/contourpy-1.3.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:0c1fc238306b35f246d61a1d416a627348b5cf0648648a031e14bb8705fcdfe8", size = 261593, upload-time = "2025-07-26T12:02:54.037Z" }, { url = "https://files.pythonhosted.org/packages/0a/59/ebfb8c677c75605cc27f7122c90313fd2f375ff3c8d19a1694bda74aaa63/contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:70f9aad7de812d6541d29d2bbf8feb22ff7e1c299523db288004e3157ff4674e", size = 302202, upload-time = "2025-07-26T12:02:55.947Z" }, @@ -541,10 +602,6 @@ version = "1.8.20" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/e0/b7/cd8080344452e4874aae67c40d8940e2b4d47b01601a8fd9f44786c757c7/debugpy-1.8.20.tar.gz", hash = "sha256:55bc8701714969f1ab89a6d5f2f3d40c36f91b2cbe2f65d98bf8196f6a6a2c33", size = 1645207, upload-time = "2026-01-29T23:03:28.199Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/71/be/8bd693a0b9d53d48c8978fa5d889e06f3b5b03e45fd1ea1e78267b4887cb/debugpy-1.8.20-cp310-cp310-macosx_15_0_x86_64.whl", hash = "sha256:157e96ffb7f80b3ad36d808646198c90acb46fdcfd8bb1999838f0b6f2b59c64", size = 2099192, upload-time = "2026-01-29T23:03:29.707Z" }, - { url = "https://files.pythonhosted.org/packages/77/1b/85326d07432086a06361d493d2743edd0c4fc2ef62162be7f8618441ac37/debugpy-1.8.20-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:c1178ae571aff42e61801a38b007af504ec8e05fde1c5c12e5a7efef21009642", size = 3088568, upload-time = "2026-01-29T23:03:31.467Z" }, - { url = "https://files.pythonhosted.org/packages/e8/60/3e08462ee3eccd10998853eb35947c416e446bfe2bc37dbb886b9044586c/debugpy-1.8.20-cp310-cp310-win32.whl", hash = "sha256:c29dd9d656c0fbd77906a6e6a82ae4881514aa3294b94c903ff99303e789b4a2", size = 5284399, upload-time = "2026-01-29T23:03:33.678Z" }, - { url = "https://files.pythonhosted.org/packages/72/43/09d49106e770fe558ced5e80df2e3c2ebee10e576eda155dcc5670473663/debugpy-1.8.20-cp310-cp310-win_amd64.whl", hash = "sha256:3ca85463f63b5dd0aa7aaa933d97cbc47c174896dcae8431695872969f981893", size = 5316388, upload-time = "2026-01-29T23:03:35.095Z" }, { url = "https://files.pythonhosted.org/packages/51/56/c3baf5cbe4dd77427fd9aef99fcdade259ad128feeb8a786c246adb838e5/debugpy-1.8.20-cp311-cp311-macosx_15_0_universal2.whl", hash = "sha256:eada6042ad88fa1571b74bd5402ee8b86eded7a8f7b827849761700aff171f1b", size = 2208318, upload-time = "2026-01-29T23:03:36.481Z" }, { url = "https://files.pythonhosted.org/packages/9a/7d/4fa79a57a8e69fe0d9763e98d1110320f9ecd7f1f362572e3aafd7417c9d/debugpy-1.8.20-cp311-cp311-manylinux_2_34_x86_64.whl", hash = "sha256:7de0b7dfeedc504421032afba845ae2a7bcc32ddfb07dae2c3ca5442f821c344", size = 3171493, upload-time = "2026-01-29T23:03:37.775Z" }, { url = "https://files.pythonhosted.org/packages/7d/f2/1e8f8affe51e12a26f3a8a8a4277d6e60aa89d0a66512f63b1e799d424a4/debugpy-1.8.20-cp311-cp311-win32.whl", hash = "sha256:773e839380cf459caf73cc533ea45ec2737a5cc184cf1b3b796cd4fd98504fec", size = 5209240, upload-time = "2026-01-29T23:03:39.109Z" }, @@ -553,6 +610,14 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/ab/78/b193a3975ca34458f6f0e24aaf5c3e3da72f5401f6054c0dfd004b41726f/debugpy-1.8.20-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:88f47850a4284b88bd2bfee1f26132147d5d504e4e86c22485dfa44b97e19b4b", size = 4310588, upload-time = "2026-01-29T23:03:43.314Z" }, { url = "https://files.pythonhosted.org/packages/c1/55/f14deb95eaf4f30f07ef4b90a8590fc05d9e04df85ee379712f6fb6736d7/debugpy-1.8.20-cp312-cp312-win32.whl", hash = "sha256:4057ac68f892064e5f98209ab582abfee3b543fb55d2e87610ddc133a954d390", size = 5331372, upload-time = "2026-01-29T23:03:45.526Z" }, { url = "https://files.pythonhosted.org/packages/a1/39/2bef246368bd42f9bd7cba99844542b74b84dacbdbea0833e610f384fee8/debugpy-1.8.20-cp312-cp312-win_amd64.whl", hash = "sha256:a1a8f851e7cf171330679ef6997e9c579ef6dd33c9098458bd9986a0f4ca52e3", size = 5372835, upload-time = "2026-01-29T23:03:47.245Z" }, + { url = "https://files.pythonhosted.org/packages/15/e2/fc500524cc6f104a9d049abc85a0a8b3f0d14c0a39b9c140511c61e5b40b/debugpy-1.8.20-cp313-cp313-macosx_15_0_universal2.whl", hash = "sha256:5dff4bb27027821fdfcc9e8f87309a28988231165147c31730128b1c983e282a", size = 2539560, upload-time = "2026-01-29T23:03:48.738Z" }, + { url = "https://files.pythonhosted.org/packages/90/83/fb33dcea789ed6018f8da20c5a9bc9d82adc65c0c990faed43f7c955da46/debugpy-1.8.20-cp313-cp313-manylinux_2_34_x86_64.whl", hash = "sha256:84562982dd7cf5ebebfdea667ca20a064e096099997b175fe204e86817f64eaf", size = 4293272, upload-time = "2026-01-29T23:03:50.169Z" }, + { url = "https://files.pythonhosted.org/packages/a6/25/b1e4a01bfb824d79a6af24b99ef291e24189080c93576dfd9b1a2815cd0f/debugpy-1.8.20-cp313-cp313-win32.whl", hash = "sha256:da11dea6447b2cadbf8ce2bec59ecea87cc18d2c574980f643f2d2dfe4862393", size = 5331208, upload-time = "2026-01-29T23:03:51.547Z" }, + { url = "https://files.pythonhosted.org/packages/13/f7/a0b368ce54ffff9e9028c098bd2d28cfc5b54f9f6c186929083d4c60ba58/debugpy-1.8.20-cp313-cp313-win_amd64.whl", hash = "sha256:eb506e45943cab2efb7c6eafdd65b842f3ae779f020c82221f55aca9de135ed7", size = 5372930, upload-time = "2026-01-29T23:03:53.585Z" }, + { url = "https://files.pythonhosted.org/packages/33/2e/f6cb9a8a13f5058f0a20fe09711a7b726232cd5a78c6a7c05b2ec726cff9/debugpy-1.8.20-cp314-cp314-macosx_15_0_universal2.whl", hash = "sha256:9c74df62fc064cd5e5eaca1353a3ef5a5d50da5eb8058fcef63106f7bebe6173", size = 2538066, upload-time = "2026-01-29T23:03:54.999Z" }, + { url = "https://files.pythonhosted.org/packages/c5/56/6ddca50b53624e1ca3ce1d1e49ff22db46c47ea5fb4c0cc5c9b90a616364/debugpy-1.8.20-cp314-cp314-manylinux_2_34_x86_64.whl", hash = "sha256:077a7447589ee9bc1ff0cdf443566d0ecf540ac8aa7333b775ebcb8ce9f4ecad", size = 4269425, upload-time = "2026-01-29T23:03:56.518Z" }, + { url = "https://files.pythonhosted.org/packages/c5/d9/d64199c14a0d4c476df46c82470a3ce45c8d183a6796cfb5e66533b3663c/debugpy-1.8.20-cp314-cp314-win32.whl", hash = "sha256:352036a99dd35053b37b7803f748efc456076f929c6a895556932eaf2d23b07f", size = 5331407, upload-time = "2026-01-29T23:03:58.481Z" }, + { url = "https://files.pythonhosted.org/packages/e0/d9/1f07395b54413432624d61524dfd98c1a7c7827d2abfdb8829ac92638205/debugpy-1.8.20-cp314-cp314-win_amd64.whl", hash = "sha256:a98eec61135465b062846112e5ecf2eebb855305acc1dfbae43b72903b8ab5be", size = 5372521, upload-time = "2026-01-29T23:03:59.864Z" }, { url = "https://files.pythonhosted.org/packages/e0/c3/7f67dea8ccf8fdcb9c99033bbe3e90b9e7395415843accb81428c441be2d/debugpy-1.8.20-py2.py3-none-any.whl", hash = "sha256:5be9bed9ae3be00665a06acaa48f8329d2b9632f15fd09f6a9a8c8d9907e54d7", size = 5337658, upload-time = "2026-01-29T23:04:17.404Z" }, ] @@ -567,57 +632,53 @@ wheels = [ [[package]] name = "dm-tree" -version = "0.1.9" +version = "0.1.10" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "absl-py" }, { name = "attrs" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "wrapt" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/a6/83/ce29720ccf934c6cfa9b9c95ebbe96558386e66886626066632b5e44afed/dm_tree-0.1.9.tar.gz", hash = "sha256:a4c7db3d3935a5a2d5e4b383fc26c6b0cd6f78c6d4605d3e7b518800ecd5342b", size = 35623, upload-time = "2025-01-30T20:45:37.13Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/77/d2/88f685534d87072a5174fe229e77aab6b7da50092d5151ebc172f6270b5c/dm_tree-0.1.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5d5b28ee2e461b6af65330c143806a6d0945dcabbb8d22d2ba863e6dabd9254e", size = 173568, upload-time = "2025-03-31T08:35:38.425Z" }, - { url = "https://files.pythonhosted.org/packages/d1/6a/64924e102f559c1380263a28a751f20a1bdd18e85ea599e216feead84adf/dm_tree-0.1.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54d5616015412311df154908069fcf2c2d8786f6088a2ae3554d186cdf2b1e15", size = 146935, upload-time = "2025-01-30T20:45:16.505Z" }, - { url = "https://files.pythonhosted.org/packages/7c/79/ba0f7274164eb6bd06a36c2f8cb21b0debc32fd9ba8e73a7c9e50c90041b/dm_tree-0.1.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:831699d2c60a1b38776a193b7143ae0acad0a687d87654e6d3342584166816bc", size = 152892, upload-time = "2025-01-30T20:45:18.021Z" }, - { url = "https://files.pythonhosted.org/packages/bf/20/8b96a34a15c5c4d1d6af44795963fa44381716975aabac83beab4fe80974/dm_tree-0.1.9-cp310-cp310-win_amd64.whl", hash = "sha256:1ae3cbff592bb3f2e197f5a8030de4a94e292e6cdd85adeea0b971d07a1b85f2", size = 101469, upload-time = "2025-01-30T20:45:19.197Z" }, - { url = "https://files.pythonhosted.org/packages/ac/b6/2d2de9f8901ccc5b6f34aea678e732816853015b9d756c86efcec189bf4b/dm_tree-0.1.9-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:7d7d784afaeb4b67d87d858261aaf02503939ddc1f09c4cca70728f9892ab004", size = 173561, upload-time = "2025-03-31T08:35:40.042Z" }, - { url = "https://files.pythonhosted.org/packages/3e/07/57459f32cf5683c25b596ab58f42a3305f91876c2f03d2fa6e9d0df75fcb/dm_tree-0.1.9-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e660d1779ddcbd1348410d08f67db4870d413a3ec4ba8b4b045bd5ce4bd8f35c", size = 146926, upload-time = "2025-01-30T20:45:20.622Z" }, - { url = "https://files.pythonhosted.org/packages/e8/46/939fbf81177c7cb3b1e5ddebd696237b3be9520769cce882f064de497103/dm_tree-0.1.9-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:294dc1cecf87552a45cdd5ddb215e7f5295a5a47c46f1f0a0463c3dd02a527d7", size = 152851, upload-time = "2025-01-30T20:45:23.032Z" }, - { url = "https://files.pythonhosted.org/packages/35/3e/a46933e0157b0ac87619a754ce1a796b2afc6386fca7c11f95c010f40745/dm_tree-0.1.9-cp311-cp311-win_amd64.whl", hash = "sha256:12f4cc6cd52a39aa38ff31577b6d79b6136a9a89273a876bf62335c9f65c27bf", size = 101522, upload-time = "2025-01-30T20:45:24.433Z" }, - { url = "https://files.pythonhosted.org/packages/ee/02/61aa90ab695918b4389d75c99bf0ec3cd0abacf1cadbef4053626f23ce34/dm_tree-0.1.9-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:a8d20eeab7fde77a3ed71f07716021eb0edfb4812a128eb381d108af3a310257", size = 175012, upload-time = "2025-03-31T08:35:41.476Z" }, - { url = "https://files.pythonhosted.org/packages/81/10/120cd40556407879c1069941bd8b0d1a75754128c1a5bf0e27dbcf2a49fc/dm_tree-0.1.9-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:80c43417814b1181d3367b335460bfdd30b79ee187a64220e11f6ddd093a4b15", size = 147204, upload-time = "2025-01-30T20:45:25.541Z" }, - { url = "https://files.pythonhosted.org/packages/86/52/27607a275c12858b979b8e943d2bd3bd0f9028503bb7079d5830a8b3cac0/dm_tree-0.1.9-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2334cfe9d2ed4293f9f1c7aefba0657deaab9ea74b5fadd966f6d01d9b6b42d9", size = 153013, upload-time = "2025-01-30T20:45:26.886Z" }, - { url = "https://files.pythonhosted.org/packages/ea/97/4f78412f73a9350bc8f934441bae5b68b102c8f4240a7f06b4114b51d6de/dm_tree-0.1.9-cp312-cp312-win_amd64.whl", hash = "sha256:9020a5ce256fcc83aa4bc190cc96dd66e87685db0a6e501b0c06aa492c2e38fc", size = 102022, upload-time = "2025-01-30T20:45:28.701Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/5a/66/a3ec619d22b6baffa5ab853e8dc6ec9d0c837127948af59bb15b988d7312/dm_tree-0.1.10.tar.gz", hash = "sha256:22f37b599e01cc3402a17f79c257a802aebd8d326de05b54657650845956208a", size = 35748, upload-time = "2026-03-31T17:35:39.03Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/87/dc/b01d0f70cde99b306731216a98287ba5926a50f27222f2ada0b99ad0911f/dm_tree-0.1.10-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:8218af7b99701bb8b03001c82961dc2cf81d7a734958206d2ea1ede8fbbe2b5f", size = 314603, upload-time = "2026-03-31T17:35:10.052Z" }, + { url = "https://files.pythonhosted.org/packages/40/72/3bafa58492862360113c1cccb26747c7863d417271e1572bacb3c281162f/dm_tree-0.1.10-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cacef6180fcfef30bab2cac5164e753e2f7a2e60e5da0feb81f2d318416f8d98", size = 182657, upload-time = "2026-03-31T17:35:11.462Z" }, + { url = "https://files.pythonhosted.org/packages/78/10/587a2cdc05995069aa63b659d884eb3e58a3c86a5b4a00acdb7a316bddf3/dm_tree-0.1.10-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f0e8907bb6809dc195be3af077e382126eaebe06c00f835d09ae26e36d2165ff", size = 185008, upload-time = "2026-03-31T17:35:12.838Z" }, + { url = "https://files.pythonhosted.org/packages/60/0e/08d938d84cbf791dde009b3d3a6637f27a0004235e700641a0ac038daac5/dm_tree-0.1.10-cp311-cp311-win_amd64.whl", hash = "sha256:a1c82dd4726a16ac6b6f7a77a5fb097ee396fd349ae301407eb5736f15b8fa16", size = 111472, upload-time = "2026-03-31T17:35:14.035Z" }, + { url = "https://files.pythonhosted.org/packages/34/a1/17e0d68eec978c483db4712b14d083ee01484381b29ea85edb2b20210bd0/dm_tree-0.1.10-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:94af18e4fd22ce69eccae89eeed8ed498b6b4cc4957f4ed10b4160e59f620e1d", size = 315976, upload-time = "2026-03-31T17:35:15.21Z" }, + { url = "https://files.pythonhosted.org/packages/cc/6f/ed603715fbc29c887a8985252e2cfe0d449497aea96bac51010159771617/dm_tree-0.1.10-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b442a0c1e9d0960e0314a2e4af81fd328a87921b6d6db6dc41bfa420536884d6", size = 184053, upload-time = "2026-03-31T17:35:16.512Z" }, + { url = "https://files.pythonhosted.org/packages/83/eb/1d55c679cee9a54e552480d308535753c72e2250cf720d7aa777bff2a4fe/dm_tree-0.1.10-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:012c2b376e88d3685c73a4b5c23be41fe933e14e380dcd90172971690b0e02d2", size = 186506, upload-time = "2026-03-31T17:35:17.593Z" }, + { url = "https://files.pythonhosted.org/packages/89/2d/adef6924f8dc7f1665eea4ce066387820c14a629d0e1005568892d56ea6a/dm_tree-0.1.10-cp312-cp312-win_amd64.whl", hash = "sha256:da8d5b8995bea1b6bb93f457e0dad5d16e6e2344a6488ced55320e7f3fd50f56", size = 112708, upload-time = "2026-03-31T17:35:18.699Z" }, + { url = "https://files.pythonhosted.org/packages/d6/29/f39e8412c16740f4c914c6674a04a66ace344ce5cb99b537c2270ef4f204/dm_tree-0.1.10-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:4a782f0382be16d66c9ed003e6992e56674504a1d9636f44d2807123f5df6343", size = 316108, upload-time = "2026-03-31T17:35:20.139Z" }, + { url = "https://files.pythonhosted.org/packages/02/83/1b94d45351bd75a83976a88c9fcf109da6ce336f38a3b443703bb6b18e5d/dm_tree-0.1.10-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0e8f8f1354f178112732b30d2293bc53d212ea64a9556db80a926af3d4647a6b", size = 183834, upload-time = "2026-03-31T17:35:21.463Z" }, + { url = "https://files.pythonhosted.org/packages/2f/23/bd3e75cbff06a464339d32667d740acf49812b027142a013b54d2c4d830a/dm_tree-0.1.10-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6d7134c0805294c640b94d85cc725084f0c5087bcda5a7fb38eeb7f479ecc37c", size = 186187, upload-time = "2026-03-31T17:35:23.495Z" }, + { url = "https://files.pythonhosted.org/packages/aa/75/4b460253b9af862388940404b5df6a22b399800c850aab4724c95f8635f9/dm_tree-0.1.10-cp313-cp313-win_amd64.whl", hash = "sha256:b42e04482880b017d931511d7b5997be372fff26a1ee9b9be55eef03ef1c2918", size = 112768, upload-time = "2026-03-31T17:35:24.622Z" }, + { url = "https://files.pythonhosted.org/packages/cb/ca/3b40a8a50f9c3492b795b157d769180edb5f2605e3c61ae826208f917baa/dm_tree-0.1.10-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:bde02efacca66514524922538b8a0c5dc15d482565d1c796edc34a726b376830", size = 324138, upload-time = "2026-03-31T17:35:25.627Z" }, + { url = "https://files.pythonhosted.org/packages/83/e4/33c9218aa607f610e2b0334fc824c2abd5a6bc232bf0726cf275f88e639d/dm_tree-0.1.10-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:033f9a063e1e19b6c65fb5c76079bd923044f5a6095357ad2637845513d47938", size = 185110, upload-time = "2026-03-31T17:35:26.784Z" }, + { url = "https://files.pythonhosted.org/packages/6c/da/f8811666d61b6829ba1c2716c4119039428dd86078eddd120354aaf26a3b/dm_tree-0.1.10-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6d4237da7b072fff1e93db109ab545f00d2b978ead35e85e7a84908e15197826", size = 187013, upload-time = "2026-03-31T17:35:27.969Z" }, + { url = "https://files.pythonhosted.org/packages/94/8d/135ddeea875fd1a2768e7aee6c224f92c9b7643ead1ec8b68bdbee52c60a/dm_tree-0.1.10-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:f395390d6acfb5d39c564c8bbcaf35352a81eb2f0d34d449739039b2ef786e14", size = 316599, upload-time = "2026-03-31T17:35:29.339Z" }, + { url = "https://files.pythonhosted.org/packages/cb/50/1eda610e9ca8ac59950ae028080e7c5320d7abc5567d6723d0cb3623e838/dm_tree-0.1.10-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c0f54547fbd4b82e88c71694b3836c90059b97102d3e36209f5d2fa66950964", size = 184263, upload-time = "2026-03-31T17:35:30.534Z" }, + { url = "https://files.pythonhosted.org/packages/c7/59/07461ceb563702ba3943725bdf0e04be4de0ed7ef093837cdd2d67141d2a/dm_tree-0.1.10-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:cf6706ac425272c9b7e05f05a23a1ff3e670fb59a787f6089a638eea2d06f1d0", size = 186328, upload-time = "2026-03-31T17:35:31.894Z" }, + { url = "https://files.pythonhosted.org/packages/88/af/d9c84787fefe9f7c35f474a945217c38396f2ca5ab06432fb566e32a7d1a/dm_tree-0.1.10-cp314-cp314-win_amd64.whl", hash = "sha256:a132047e846e769ddacefe77c42ae79bf3d0e9fce2a6adb638a0ea4cbadb8cdb", size = 114799, upload-time = "2026-03-31T17:35:33.361Z" }, + { url = "https://files.pythonhosted.org/packages/fd/2c/2aaa63a510db520cd9e0c51e053a608486169bb9710f51f4ecf5699cebb4/dm_tree-0.1.10-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:23682221f63ad011dbd762ce5314740d7900b0426a2681614ea2472369b0c49c", size = 324205, upload-time = "2026-03-31T17:35:34.679Z" }, + { url = "https://files.pythonhosted.org/packages/b0/89/a5a302bcf9c345e6bd0498627ee2aa12f0a1c3538d08a2f5884d3c6783ba/dm_tree-0.1.10-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8baeb3db1e92587d686022fb67a52f6c584a7d32bd98444ed3aafb399ad9ce67", size = 185113, upload-time = "2026-03-31T17:35:36.179Z" }, + { url = "https://files.pythonhosted.org/packages/cc/e8/2d4fbc54bb68905588945cfb47c05445c66cab2d822b05827f1c62e23a70/dm_tree-0.1.10-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2236c9a4cf64ed0b04004a94902f39341be652b70dce322b33f08ada9b146baa", size = 187009, upload-time = "2026-03-31T17:35:37.584Z" }, ] [[package]] name = "equinox" -version = "0.13.4" +version = "0.13.6" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "jax" }, - { name = "jaxtyping", version = "0.3.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "jaxtyping", version = "0.3.9", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "jaxtyping" }, { name = "typing-extensions" }, { name = "wadler-lindig" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/2d/80/1704c3375a9c3cae4713a1be12b59dbd8ddff03808862264be622b333cd1/equinox-0.13.4.tar.gz", hash = "sha256:d4eed5d7f981a5ddcb7bc70e601707769fb4da20f777703cc6e01a6248af9758", size = 140981, upload-time = "2026-01-26T22:29:19.417Z" } +sdist = { url = "https://files.pythonhosted.org/packages/8c/b3/ab523b630e55f7038360f962c17b4a3a438850796d7f64f1e3c6e188775f/equinox-0.13.6.tar.gz", hash = "sha256:27529bb24fde117a0e976fca8027642eb1c8559e9445fb8d527792f64c74855a", size = 141923, upload-time = "2026-03-09T19:03:39.12Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/96/4c/eea4860010ba31d6793038073c66f2e1755c80d0adb704c4926d549e724a/equinox-0.13.4-py3-none-any.whl", hash = "sha256:8203b6b84c1641a58aad07c040c171fc5a38e2c3bc90c5feb2f221d398354378", size = 181231, upload-time = "2026-01-26T22:29:17.859Z" }, -] - -[[package]] -name = "exceptiongroup" -version = "1.3.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/8a/0e/97c33bf5009bdbac74fd2beace167cab3f978feb69cc36f1ef79360d6c4e/exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598", size = 16740, upload-time = "2025-11-21T23:01:53.443Z" }, + { url = "https://files.pythonhosted.org/packages/4f/e9/3759a02b0307fdbbb201d8a2b00e192a24cac86b1db9bd3bfa1cbbb9decc/equinox-0.13.6-py3-none-any.whl", hash = "sha256:e01f6bee9d2fb9a1a51d8b34af3b70476a4727097b46b1115f36432b2488f4a0", size = 182056, upload-time = "2026-03-09T19:03:37.742Z" }, ] [[package]] @@ -631,11 +692,11 @@ wheels = [ [[package]] name = "fastcore" -version = "1.12.15" +version = "1.12.34" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/b8/12/fec2fb9131b8d726f4b148f5365a098d9b408e215472085220fab7b9ec7a/fastcore-1.12.15.tar.gz", hash = "sha256:1de1106e2d2fc0369a5054f85152321740676b876cb67d15492801cd29b12e86", size = 92410, upload-time = "2026-02-20T04:59:37.615Z" } +sdist = { url = "https://files.pythonhosted.org/packages/39/66/e2bf42b3cad563a7246cc8e61a49c88e611c4c4228244da6bb39909126ef/fastcore-1.12.34.tar.gz", hash = "sha256:24c06e40cf9444ee4cbfbb5ff331e59762c83f1f5e27a128beb90b46d95aa687", size = 94563, upload-time = "2026-04-01T09:43:17.953Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/6f/ae/94bfb935ee72078f1f9772f946418bbc859bbedd4befb212d643d749d918/fastcore-1.12.15-py3-none-any.whl", hash = "sha256:4fc9462093ed3eaff990cf81b956d2bd760fa0e1ac02e5129900f48b484ab4d9", size = 96629, upload-time = "2026-02-20T04:59:35.77Z" }, + { url = "https://files.pythonhosted.org/packages/fa/89/bf2adbdbb90dab8b465d7a489e0a291e9153bf7b1db2b90ea4fa3c4bf16f/fastcore-1.12.34-py3-none-any.whl", hash = "sha256:917ed3559ef25cfbf3ec3327cb664cf75830832490ed1fb7be1425eb351783df", size = 98770, upload-time = "2026-04-01T09:43:16.288Z" }, ] [[package]] @@ -666,35 +727,51 @@ wheels = [ [[package]] name = "fonttools" -version = "4.61.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ec/ca/cf17b88a8df95691275a3d77dc0a5ad9907f328ae53acbe6795da1b2f5ed/fonttools-4.61.1.tar.gz", hash = "sha256:6675329885c44657f826ef01d9e4fb33b9158e9d93c537d84ad8399539bc6f69", size = 3565756, upload-time = "2025-12-12T17:31:24.246Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/5b/94/8a28707adb00bed1bf22dac16ccafe60faf2ade353dcb32c3617ee917307/fonttools-4.61.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c7db70d57e5e1089a274cbb2b1fd635c9a24de809a231b154965d415d6c6d24", size = 2854799, upload-time = "2025-12-12T17:29:27.5Z" }, - { url = "https://files.pythonhosted.org/packages/94/93/c2e682faaa5ee92034818d8f8a8145ae73eb83619600495dcf8503fa7771/fonttools-4.61.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5fe9fd43882620017add5eabb781ebfbc6998ee49b35bd7f8f79af1f9f99a958", size = 2403032, upload-time = "2025-12-12T17:29:30.115Z" }, - { url = "https://files.pythonhosted.org/packages/f1/62/1748f7e7e1ee41aa52279fd2e3a6d0733dc42a673b16932bad8e5d0c8b28/fonttools-4.61.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8db08051fc9e7d8bc622f2112511b8107d8f27cd89e2f64ec45e9825e8288da", size = 4897863, upload-time = "2025-12-12T17:29:32.535Z" }, - { url = "https://files.pythonhosted.org/packages/69/69/4ca02ee367d2c98edcaeb83fc278d20972502ee071214ad9d8ca85e06080/fonttools-4.61.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a76d4cb80f41ba94a6691264be76435e5f72f2cb3cab0b092a6212855f71c2f6", size = 4859076, upload-time = "2025-12-12T17:29:34.907Z" }, - { url = "https://files.pythonhosted.org/packages/8c/f5/660f9e3cefa078861a7f099107c6d203b568a6227eef163dd173bfc56bdc/fonttools-4.61.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a13fc8aeb24bad755eea8f7f9d409438eb94e82cf86b08fe77a03fbc8f6a96b1", size = 4875623, upload-time = "2025-12-12T17:29:37.33Z" }, - { url = "https://files.pythonhosted.org/packages/63/d1/9d7c5091d2276ed47795c131c1bf9316c3c1ab2789c22e2f59e0572ccd38/fonttools-4.61.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b846a1fcf8beadeb9ea4f44ec5bdde393e2f1569e17d700bfc49cd69bde75881", size = 4993327, upload-time = "2025-12-12T17:29:39.781Z" }, - { url = "https://files.pythonhosted.org/packages/6f/2d/28def73837885ae32260d07660a052b99f0aa00454867d33745dfe49dbf0/fonttools-4.61.1-cp310-cp310-win32.whl", hash = "sha256:78a7d3ab09dc47ac1a363a493e6112d8cabed7ba7caad5f54dbe2f08676d1b47", size = 1502180, upload-time = "2025-12-12T17:29:42.217Z" }, - { url = "https://files.pythonhosted.org/packages/63/fa/bfdc98abb4dd2bd491033e85e3ba69a2313c850e759a6daa014bc9433b0f/fonttools-4.61.1-cp310-cp310-win_amd64.whl", hash = "sha256:eff1ac3cc66c2ac7cda1e64b4e2f3ffef474b7335f92fc3833fc632d595fcee6", size = 1550654, upload-time = "2025-12-12T17:29:44.564Z" }, - { url = "https://files.pythonhosted.org/packages/69/12/bf9f4eaa2fad039356cc627587e30ed008c03f1cebd3034376b5ee8d1d44/fonttools-4.61.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c6604b735bb12fef8e0efd5578c9fb5d3d8532d5001ea13a19cddf295673ee09", size = 2852213, upload-time = "2025-12-12T17:29:46.675Z" }, - { url = "https://files.pythonhosted.org/packages/ac/49/4138d1acb6261499bedde1c07f8c2605d1d8f9d77a151e5507fd3ef084b6/fonttools-4.61.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5ce02f38a754f207f2f06557523cd39a06438ba3aafc0639c477ac409fc64e37", size = 2401689, upload-time = "2025-12-12T17:29:48.769Z" }, - { url = "https://files.pythonhosted.org/packages/e5/fe/e6ce0fe20a40e03aef906af60aa87668696f9e4802fa283627d0b5ed777f/fonttools-4.61.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:77efb033d8d7ff233385f30c62c7c79271c8885d5c9657d967ede124671bbdfb", size = 5058809, upload-time = "2025-12-12T17:29:51.701Z" }, - { url = "https://files.pythonhosted.org/packages/79/61/1ca198af22f7dd22c17ab86e9024ed3c06299cfdb08170640e9996d501a0/fonttools-4.61.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:75c1a6dfac6abd407634420c93864a1e274ebc1c7531346d9254c0d8f6ca00f9", size = 5036039, upload-time = "2025-12-12T17:29:53.659Z" }, - { url = "https://files.pythonhosted.org/packages/99/cc/fa1801e408586b5fce4da9f5455af8d770f4fc57391cd5da7256bb364d38/fonttools-4.61.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:0de30bfe7745c0d1ffa2b0b7048fb7123ad0d71107e10ee090fa0b16b9452e87", size = 5034714, upload-time = "2025-12-12T17:29:55.592Z" }, - { url = "https://files.pythonhosted.org/packages/bf/aa/b7aeafe65adb1b0a925f8f25725e09f078c635bc22754f3fecb7456955b0/fonttools-4.61.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:58b0ee0ab5b1fc9921eccfe11d1435added19d6494dde14e323f25ad2bc30c56", size = 5158648, upload-time = "2025-12-12T17:29:57.861Z" }, - { url = "https://files.pythonhosted.org/packages/99/f9/08ea7a38663328881384c6e7777bbefc46fd7d282adfd87a7d2b84ec9d50/fonttools-4.61.1-cp311-cp311-win32.whl", hash = "sha256:f79b168428351d11e10c5aeb61a74e1851ec221081299f4cf56036a95431c43a", size = 2280681, upload-time = "2025-12-12T17:29:59.943Z" }, - { url = "https://files.pythonhosted.org/packages/07/ad/37dd1ae5fa6e01612a1fbb954f0927681f282925a86e86198ccd7b15d515/fonttools-4.61.1-cp311-cp311-win_amd64.whl", hash = "sha256:fe2efccb324948a11dd09d22136fe2ac8a97d6c1347cf0b58a911dcd529f66b7", size = 2331951, upload-time = "2025-12-12T17:30:02.254Z" }, - { url = "https://files.pythonhosted.org/packages/6f/16/7decaa24a1bd3a70c607b2e29f0adc6159f36a7e40eaba59846414765fd4/fonttools-4.61.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:f3cb4a569029b9f291f88aafc927dd53683757e640081ca8c412781ea144565e", size = 2851593, upload-time = "2025-12-12T17:30:04.225Z" }, - { url = "https://files.pythonhosted.org/packages/94/98/3c4cb97c64713a8cf499b3245c3bf9a2b8fd16a3e375feff2aed78f96259/fonttools-4.61.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41a7170d042e8c0024703ed13b71893519a1a6d6e18e933e3ec7507a2c26a4b2", size = 2400231, upload-time = "2025-12-12T17:30:06.47Z" }, - { url = "https://files.pythonhosted.org/packages/b7/37/82dbef0f6342eb01f54bca073ac1498433d6ce71e50c3c3282b655733b31/fonttools-4.61.1-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:10d88e55330e092940584774ee5e8a6971b01fc2f4d3466a1d6c158230880796", size = 4954103, upload-time = "2025-12-12T17:30:08.432Z" }, - { url = "https://files.pythonhosted.org/packages/6c/44/f3aeac0fa98e7ad527f479e161aca6c3a1e47bb6996b053d45226fe37bf2/fonttools-4.61.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:15acc09befd16a0fb8a8f62bc147e1a82817542d72184acca9ce6e0aeda9fa6d", size = 5004295, upload-time = "2025-12-12T17:30:10.56Z" }, - { url = "https://files.pythonhosted.org/packages/14/e8/7424ced75473983b964d09f6747fa09f054a6d656f60e9ac9324cf40c743/fonttools-4.61.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:e6bcdf33aec38d16508ce61fd81838f24c83c90a1d1b8c68982857038673d6b8", size = 4944109, upload-time = "2025-12-12T17:30:12.874Z" }, - { url = "https://files.pythonhosted.org/packages/c8/8b/6391b257fa3d0b553d73e778f953a2f0154292a7a7a085e2374b111e5410/fonttools-4.61.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5fade934607a523614726119164ff621e8c30e8fa1ffffbbd358662056ba69f0", size = 5093598, upload-time = "2025-12-12T17:30:15.79Z" }, - { url = "https://files.pythonhosted.org/packages/d9/71/fd2ea96cdc512d92da5678a1c98c267ddd4d8c5130b76d0f7a80f9a9fde8/fonttools-4.61.1-cp312-cp312-win32.whl", hash = "sha256:75da8f28eff26defba42c52986de97b22106cb8f26515b7c22443ebc9c2d3261", size = 2269060, upload-time = "2025-12-12T17:30:18.058Z" }, - { url = "https://files.pythonhosted.org/packages/80/3b/a3e81b71aed5a688e89dfe0e2694b26b78c7d7f39a5ffd8a7d75f54a12a8/fonttools-4.61.1-cp312-cp312-win_amd64.whl", hash = "sha256:497c31ce314219888c0e2fce5ad9178ca83fe5230b01a5006726cdf3ac9f24d9", size = 2319078, upload-time = "2025-12-12T17:30:22.862Z" }, - { url = "https://files.pythonhosted.org/packages/c7/4e/ce75a57ff3aebf6fc1f4e9d508b8e5810618a33d900ad6c19eb30b290b97/fonttools-4.61.1-py3-none-any.whl", hash = "sha256:17d2bf5d541add43822bcf0c43d7d847b160c9bb01d15d5007d84e2217aaa371", size = 1148996, upload-time = "2025-12-12T17:31:21.03Z" }, +version = "4.62.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/9a/08/7012b00a9a5874311b639c3920270c36ee0c445b69d9989a85e5c92ebcb0/fonttools-4.62.1.tar.gz", hash = "sha256:e54c75fd6041f1122476776880f7c3c3295ffa31962dc6ebe2543c00dca58b5d", size = 3580737, upload-time = "2026-03-13T13:54:25.52Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/88/39/23ff32561ec8d45a4d48578b4d241369d9270dc50926c017570e60893701/fonttools-4.62.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:40975849bac44fb0b9253d77420c6d8b523ac4dcdcefeff6e4d706838a5b80f7", size = 2871039, upload-time = "2026-03-13T13:52:33.127Z" }, + { url = "https://files.pythonhosted.org/packages/24/7f/66d3f8a9338a9b67fe6e1739f47e1cd5cee78bd3bc1206ef9b0b982289a5/fonttools-4.62.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9dde91633f77fa576879a0c76b1d89de373cae751a98ddf0109d54e173b40f14", size = 2416346, upload-time = "2026-03-13T13:52:35.676Z" }, + { url = "https://files.pythonhosted.org/packages/aa/53/5276ceba7bff95da7793a07c5284e1da901cf00341ce5e2f3273056c0cca/fonttools-4.62.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6acb4109f8bee00fec985c8c7afb02299e35e9c94b57287f3ea542f28bd0b0a7", size = 5100897, upload-time = "2026-03-13T13:52:38.102Z" }, + { url = "https://files.pythonhosted.org/packages/cc/a1/40a5c4d8e28b0851d53a8eeeb46fbd73c325a2a9a165f290a5ed90e6c597/fonttools-4.62.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1c5c25671ce8805e0d080e2ffdeca7f1e86778c5cbfbeae86d7f866d8830517b", size = 5071078, upload-time = "2026-03-13T13:52:41.305Z" }, + { url = "https://files.pythonhosted.org/packages/e3/be/d378fca4c65ea1956fee6d90ace6e861776809cbbc5af22388a090c3c092/fonttools-4.62.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a5d8825e1140f04e6c99bb7d37a9e31c172f3bc208afbe02175339e699c710e1", size = 5076908, upload-time = "2026-03-13T13:52:44.122Z" }, + { url = "https://files.pythonhosted.org/packages/f8/d9/ae6a1d0693a4185a84605679c8a1f719a55df87b9c6e8e817bfdd9ef5936/fonttools-4.62.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:268abb1cb221e66c014acc234e872b7870d8b5d4657a83a8f4205094c32d2416", size = 5202275, upload-time = "2026-03-13T13:52:46.591Z" }, + { url = "https://files.pythonhosted.org/packages/54/6c/af95d9c4efb15cabff22642b608342f2bd67137eea6107202d91b5b03184/fonttools-4.62.1-cp311-cp311-win32.whl", hash = "sha256:942b03094d7edbb99bdf1ae7e9090898cad7bf9030b3d21f33d7072dbcb51a53", size = 2293075, upload-time = "2026-03-13T13:52:48.711Z" }, + { url = "https://files.pythonhosted.org/packages/d3/97/bf54c5b3f2be34e1f143e6db838dfdc54f2ffa3e68c738934c82f3b2a08d/fonttools-4.62.1-cp311-cp311-win_amd64.whl", hash = "sha256:e8514f4924375f77084e81467e63238b095abda5107620f49421c368a6017ed2", size = 2344593, upload-time = "2026-03-13T13:52:50.725Z" }, + { url = "https://files.pythonhosted.org/packages/47/d4/dbacced3953544b9a93088cc10ef2b596d348c983d5c67a404fa41ec51ba/fonttools-4.62.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:90365821debbd7db678809c7491ca4acd1e0779b9624cdc6ddaf1f31992bf974", size = 2870219, upload-time = "2026-03-13T13:52:53.664Z" }, + { url = "https://files.pythonhosted.org/packages/66/9e/a769c8e99b81e5a87ab7e5e7236684de4e96246aae17274e5347d11ebd78/fonttools-4.62.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:12859ff0b47dd20f110804c3e0d0970f7b832f561630cd879969011541a464a9", size = 2414891, upload-time = "2026-03-13T13:52:56.493Z" }, + { url = "https://files.pythonhosted.org/packages/69/64/f19a9e3911968c37e1e620e14dfc5778299e1474f72f4e57c5ec771d9489/fonttools-4.62.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c125ffa00c3d9003cdaaf7f2c79e6e535628093e14b5de1dccb08859b680936", size = 5033197, upload-time = "2026-03-13T13:52:59.179Z" }, + { url = "https://files.pythonhosted.org/packages/9b/8a/99c8b3c3888c5c474c08dbfd7c8899786de9604b727fcefb055b42c84bba/fonttools-4.62.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:149f7d84afca659d1a97e39a4778794a2f83bf344c5ee5134e09995086cc2392", size = 4988768, upload-time = "2026-03-13T13:53:02.761Z" }, + { url = "https://files.pythonhosted.org/packages/d1/c6/0f904540d3e6ab463c1243a0d803504826a11604c72dd58c2949796a1762/fonttools-4.62.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0aa72c43a601cfa9273bb1ae0518f1acadc01ee181a6fc60cd758d7fdadffc04", size = 4971512, upload-time = "2026-03-13T13:53:05.678Z" }, + { url = "https://files.pythonhosted.org/packages/29/0b/5cbef6588dc9bd6b5c9ad6a4d5a8ca384d0cea089da31711bbeb4f9654a6/fonttools-4.62.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:19177c8d96c7c36359266e571c5173bcee9157b59cfc8cb0153c5673dc5a3a7d", size = 5122723, upload-time = "2026-03-13T13:53:08.662Z" }, + { url = "https://files.pythonhosted.org/packages/4a/47/b3a5342d381595ef439adec67848bed561ab7fdb1019fa522e82101b7d9c/fonttools-4.62.1-cp312-cp312-win32.whl", hash = "sha256:a24decd24d60744ee8b4679d38e88b8303d86772053afc29b19d23bb8207803c", size = 2281278, upload-time = "2026-03-13T13:53:10.998Z" }, + { url = "https://files.pythonhosted.org/packages/28/b1/0c2ab56a16f409c6c8a68816e6af707827ad5d629634691ff60a52879792/fonttools-4.62.1-cp312-cp312-win_amd64.whl", hash = "sha256:9e7863e10b3de72376280b515d35b14f5eeed639d1aa7824f4cf06779ec65e42", size = 2331414, upload-time = "2026-03-13T13:53:13.992Z" }, + { url = "https://files.pythonhosted.org/packages/3b/56/6f389de21c49555553d6a5aeed5ac9767631497ac836c4f076273d15bd72/fonttools-4.62.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:c22b1014017111c401469e3acc5433e6acf6ebcc6aa9efb538a533c800971c79", size = 2865155, upload-time = "2026-03-13T13:53:16.132Z" }, + { url = "https://files.pythonhosted.org/packages/03/c5/0e3966edd5ec668d41dfe418787726752bc07e2f5fd8c8f208615e61fa89/fonttools-4.62.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:68959f5fc58ed4599b44aad161c2837477d7f35f5f79402d97439974faebfebe", size = 2412802, upload-time = "2026-03-13T13:53:18.878Z" }, + { url = "https://files.pythonhosted.org/packages/52/94/e6ac4b44026de7786fe46e3bfa0c87e51d5d70a841054065d49cd62bb909/fonttools-4.62.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ef46db46c9447103b8f3ff91e8ba009d5fe181b1920a83757a5762551e32bb68", size = 5013926, upload-time = "2026-03-13T13:53:21.379Z" }, + { url = "https://files.pythonhosted.org/packages/e2/98/8b1e801939839d405f1f122e7d175cebe9aeb4e114f95bfc45e3152af9a7/fonttools-4.62.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6706d1cb1d5e6251a97ad3c1b9347505c5615c112e66047abbef0f8545fa30d1", size = 4964575, upload-time = "2026-03-13T13:53:23.857Z" }, + { url = "https://files.pythonhosted.org/packages/46/76/7d051671e938b1881670528fec69cc4044315edd71a229c7fd712eaa5119/fonttools-4.62.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:2e7abd2b1e11736f58c1de27819e1955a53267c21732e78243fa2fa2e5c1e069", size = 4953693, upload-time = "2026-03-13T13:53:26.569Z" }, + { url = "https://files.pythonhosted.org/packages/1f/ae/b41f8628ec0be3c1b934fc12b84f4576a5c646119db4d3bdd76a217c90b5/fonttools-4.62.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:403d28ce06ebfc547fbcb0cb8b7f7cc2f7a2d3e1a67ba9a34b14632df9e080f9", size = 5094920, upload-time = "2026-03-13T13:53:29.329Z" }, + { url = "https://files.pythonhosted.org/packages/f2/f6/53a1e9469331a23dcc400970a27a4caa3d9f6edbf5baab0260285238b884/fonttools-4.62.1-cp313-cp313-win32.whl", hash = "sha256:93c316e0f5301b2adbe6a5f658634307c096fd5aae60a5b3412e4f3e1728ab24", size = 2279928, upload-time = "2026-03-13T13:53:32.352Z" }, + { url = "https://files.pythonhosted.org/packages/38/60/35186529de1db3c01f5ad625bde07c1f576305eab6d86bbda4c58445f721/fonttools-4.62.1-cp313-cp313-win_amd64.whl", hash = "sha256:7aa21ff53e28a9c2157acbc44e5b401149d3c9178107130e82d74ceb500e5056", size = 2330514, upload-time = "2026-03-13T13:53:34.991Z" }, + { url = "https://files.pythonhosted.org/packages/36/f0/2888cdac391807d68d90dcb16ef858ddc1b5309bfc6966195a459dd326e2/fonttools-4.62.1-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:fa1d16210b6b10a826d71bed68dd9ec24a9e218d5a5e2797f37c573e7ec215ca", size = 2864442, upload-time = "2026-03-13T13:53:37.509Z" }, + { url = "https://files.pythonhosted.org/packages/4b/b2/e521803081f8dc35990816b82da6360fa668a21b44da4b53fc9e77efcd62/fonttools-4.62.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:aa69d10ed420d8121118e628ad47d86e4caa79ba37f968597b958f6cceab7eca", size = 2410901, upload-time = "2026-03-13T13:53:40.55Z" }, + { url = "https://files.pythonhosted.org/packages/00/a4/8c3511ff06e53110039358dbbdc1a65d72157a054638387aa2ada300a8b8/fonttools-4.62.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bd13b7999d59c5eb1c2b442eb2d0c427cb517a0b7a1f5798fc5c9e003f5ff782", size = 4999608, upload-time = "2026-03-13T13:53:42.798Z" }, + { url = "https://files.pythonhosted.org/packages/28/63/cd0c3b26afe60995a5295f37c246a93d454023726c3261cfbb3559969bb9/fonttools-4.62.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8d337fdd49a79b0d51c4da87bc38169d21c3abbf0c1aa9367eff5c6656fb6dae", size = 4912726, upload-time = "2026-03-13T13:53:45.405Z" }, + { url = "https://files.pythonhosted.org/packages/70/b9/ac677cb07c24c685cf34f64e140617d58789d67a3dd524164b63648c6114/fonttools-4.62.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d241cdc4a67b5431c6d7f115fdf63335222414995e3a1df1a41e1182acd4bcc7", size = 4951422, upload-time = "2026-03-13T13:53:48.326Z" }, + { url = "https://files.pythonhosted.org/packages/e6/10/11c08419a14b85b7ca9a9faca321accccc8842dd9e0b1c8a72908de05945/fonttools-4.62.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:c05557a78f8fa514da0f869556eeda40887a8abc77c76ee3f74cf241778afd5a", size = 5060979, upload-time = "2026-03-13T13:53:51.366Z" }, + { url = "https://files.pythonhosted.org/packages/4e/3c/12eea4a4cf054e7ab058ed5ceada43b46809fce2bf319017c4d63ae55bb4/fonttools-4.62.1-cp314-cp314-win32.whl", hash = "sha256:49a445d2f544ce4a69338694cad575ba97b9a75fff02720da0882d1a73f12800", size = 2283733, upload-time = "2026-03-13T13:53:53.606Z" }, + { url = "https://files.pythonhosted.org/packages/6b/67/74b070029043186b5dd13462c958cb7c7f811be0d2e634309d9a1ffb1505/fonttools-4.62.1-cp314-cp314-win_amd64.whl", hash = "sha256:1eecc128c86c552fb963fe846ca4e011b1be053728f798185a1687502f6d398e", size = 2335663, upload-time = "2026-03-13T13:53:56.23Z" }, + { url = "https://files.pythonhosted.org/packages/42/c5/4d2ed3ca6e33617fc5624467da353337f06e7f637707478903c785bd8e20/fonttools-4.62.1-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:1596aeaddf7f78e21e68293c011316a25267b3effdaccaf4d59bc9159d681b82", size = 2947288, upload-time = "2026-03-13T13:53:59.397Z" }, + { url = "https://files.pythonhosted.org/packages/1f/e9/7ab11ddfda48ed0f89b13380e5595ba572619c27077be0b2c447a63ff351/fonttools-4.62.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:8f8fca95d3bb3208f59626a4b0ea6e526ee51f5a8ad5d91821c165903e8d9260", size = 2449023, upload-time = "2026-03-13T13:54:01.642Z" }, + { url = "https://files.pythonhosted.org/packages/b2/10/a800fa090b5e8819942e54e19b55fc7c21fe14a08757c3aa3ca8db358939/fonttools-4.62.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ee91628c08e76f77b533d65feb3fbe6d9dad699f95be51cf0d022db94089cdc4", size = 5137599, upload-time = "2026-03-13T13:54:04.495Z" }, + { url = "https://files.pythonhosted.org/packages/37/dc/8ccd45033fffd74deb6912fa1ca524643f584b94c87a16036855b498a1ed/fonttools-4.62.1-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5f37df1cac61d906e7b836abe356bc2f34c99d4477467755c216b72aa3dc748b", size = 4920933, upload-time = "2026-03-13T13:54:07.557Z" }, + { url = "https://files.pythonhosted.org/packages/99/eb/e618adefb839598d25ac8136cd577925d6c513dc0d931d93b8af956210f0/fonttools-4.62.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:92bb00a947e666169c99b43753c4305fc95a890a60ef3aeb2a6963e07902cc87", size = 5016232, upload-time = "2026-03-13T13:54:10.611Z" }, + { url = "https://files.pythonhosted.org/packages/d9/5f/9b5c9bfaa8ec82def8d8168c4f13615990d6ce5996fe52bd49bfb5e05134/fonttools-4.62.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:bdfe592802ef939a0e33106ea4a318eeb17822c7ee168c290273cbd5fabd746c", size = 5042987, upload-time = "2026-03-13T13:54:13.569Z" }, + { url = "https://files.pythonhosted.org/packages/90/aa/dfbbe24c6a6afc5c203d90cc0343e24bcbb09e76d67c4d6eef8c2558d7ba/fonttools-4.62.1-cp314-cp314t-win32.whl", hash = "sha256:b820fcb92d4655513d8402d5b219f94481c4443d825b4372c75a2072aa4b357a", size = 2348021, upload-time = "2026-03-13T13:54:16.98Z" }, + { url = "https://files.pythonhosted.org/packages/13/6f/ae9c4e4dd417948407b680855c2c7790efb52add6009aaecff1e3bc50e8e/fonttools-4.62.1-cp314-cp314t-win_amd64.whl", hash = "sha256:59b372b4f0e113d3746b88985f1c796e7bf830dd54b28374cd85c2b8acd7583e", size = 2414147, upload-time = "2026-03-13T13:54:19.416Z" }, + { url = "https://files.pythonhosted.org/packages/fd/ba/56147c165442cc5ba7e82ecf301c9a68353cede498185869e6e02b4c264f/fonttools-4.62.1-py3-none-any.whl", hash = "sha256:7487782e2113861f4ddcc07c3436450659e3caa5e470b27dc2177cade2d8e7fd", size = 1152647, upload-time = "2026-03-13T13:54:22.735Z" }, ] [[package]] @@ -708,31 +785,37 @@ wheels = [ [[package]] name = "galsim" -version = "2.8.3" +version = "2.8.4" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "astropy", version = "6.1.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "astropy", version = "7.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "astropy" }, { name = "lsstdesc-coord" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "pybind11" }, { name = "setuptools" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/a6/0b/3bd2bdeea28cc77022b9eb0580d8ff57c36192b84706752a2c82ac3f216c/galsim-2.8.3.tar.gz", hash = "sha256:a4f4279ea5798e810d8cb42d0950b68ac517f1a2cb117c0bd596b6c663fc34f2", size = 8590201, upload-time = "2026-02-01T05:39:09.949Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/fd/49/5c945329c33e9cddf9084988694e61500f481f507b10fab245724dd6a2d7/galsim-2.8.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:9bec1fd4bfe332789cf09f300330244ab270f0c36e153113147c844c253dc307", size = 5843202, upload-time = "2026-02-01T05:38:17.235Z" }, - { url = "https://files.pythonhosted.org/packages/f3/5d/092fac36e0e311c561b91f02232d379d0909c7c8347d02f826eceff605f2/galsim-2.8.3-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:91db5b86f31af4f5839cddd3d2b741515b94f1ac4eb1ea223d23b77358069869", size = 6794446, upload-time = "2026-02-01T05:38:19.575Z" }, - { url = "https://files.pythonhosted.org/packages/c3/61/465f0fcfad00e7207832bda9cd2a7433f901a677a4df439e84f516753137/galsim-2.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da03fed4ed60cae51d1cc1007887279e44c6752fa0d02d5dfea408421357aa41", size = 50764550, upload-time = "2026-02-01T05:38:22.111Z" }, - { url = "https://files.pythonhosted.org/packages/25/2f/2bf37578e426097babb9f33a84537bce8b1e534e548de934ed02bdf4a9be/galsim-2.8.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:1c9c91bbad62517f0e57c528a1a89c897cef297719802fb70ca78a8920d865b3", size = 51491192, upload-time = "2026-02-01T05:38:25.703Z" }, - { url = "https://files.pythonhosted.org/packages/17/14/dafb343694fa66a8b1a9c9d05cf010e88f5cfc95681e78326d8e5742de4e/galsim-2.8.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:54857772db01fa5ab5046a7aab6ffad353e0b738f57f2f366edbd7354ebe0da6", size = 5844977, upload-time = "2026-02-01T05:38:28.983Z" }, - { url = "https://files.pythonhosted.org/packages/17/cd/adf2d4cb70d369e73ebbff3ab0998ca0ac253f2aafbbb30f601f23d0f8b9/galsim-2.8.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:b58fd7e1002670d31c016e91245cf94a5f7ab5f29706f49bc7f1f9b86d88e87a", size = 6796154, upload-time = "2026-02-01T05:38:30.404Z" }, - { url = "https://files.pythonhosted.org/packages/bf/8b/0fb46659aec39870fb020a63f13d9b239f709ec6eef42fc1fc058effaf38/galsim-2.8.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e468dc4b93e9e49a5ca1f00cfb10ce292c02bbb7c4d663a0e77997ab420cc6a", size = 51191707, upload-time = "2026-02-01T05:38:32.974Z" }, - { url = "https://files.pythonhosted.org/packages/f4/8f/bded1c3c4b456b3553c4f318ccc3d6d699ac51f279845b934725ee86ad2f/galsim-2.8.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:eeee99ef9645f9b383e99df7cc7a4388b8a81b6a07ae885ef3574208d66734a5", size = 52024227, upload-time = "2026-02-01T05:38:36.423Z" }, - { url = "https://files.pythonhosted.org/packages/28/dd/4c1e357bee7da7f3d6ca9da5c10b4d92cc32341416ce9a60c00161ad503f/galsim-2.8.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:63c9b93804c926e1c330d686cded8b85c088b33ea32ba86e853c9baf8a5acb6e", size = 5859242, upload-time = "2026-02-01T05:38:38.846Z" }, - { url = "https://files.pythonhosted.org/packages/a7/69/f2e29e45c565b00d96a439ec4a3d19e8a189b7b541a16d26a15a847573dd/galsim-2.8.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:e255620a487007acc33f9bc2be9839ef13f00a7e45fa090a997dc17bb95408a9", size = 6801213, upload-time = "2026-02-01T05:38:40.898Z" }, - { url = "https://files.pythonhosted.org/packages/88/a9/c7b6d5e06131aa705d8febd726a0cc63b5946fd8290cfef70740afee7983/galsim-2.8.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0978f94e2557d0bfb8017a14e2286df7576c6478f0eec5132c1ea1a81df56c16", size = 51131071, upload-time = "2026-02-01T05:38:43.677Z" }, - { url = "https://files.pythonhosted.org/packages/53/0e/23988ab7495c971bb86883ac16664e686f3d14a212cdbc15fb6c38704823/galsim-2.8.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:09eae7a5b19075e42008daa10217cd51095c9e3d0a3562d55fb2080a10a187da", size = 51964582, upload-time = "2026-02-01T05:38:47.418Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/72/59/c585e4de42d5b7f240a5bc4cd8ffd388b58cbde7515540f37d71da58623a/galsim-2.8.4.tar.gz", hash = "sha256:316299a0685e0bd6134ddf5642f39b439a2a35b7f116d6ebd979332fddbbad76", size = 8591085, upload-time = "2026-02-22T23:24:39.668Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/af/ee/2da261c66a464fc01d13b28c32aa0a6e9f14b9001b693dc023f2ed2077e4/galsim-2.8.4-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:00d7e0fe666771c09557ff45936be065bc537b6a5b0524342625ebced2c7ceca", size = 5871906, upload-time = "2026-02-22T23:23:37.367Z" }, + { url = "https://files.pythonhosted.org/packages/53/97/122cd3c273d349ff981255eae300b71514266da959d43c6d87fd914e8cc8/galsim-2.8.4-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:68b12085dd08a263e6a88606156fcd27d3a053c50242e9ba541ef58c46a9708f", size = 6885543, upload-time = "2026-02-22T23:23:39.277Z" }, + { url = "https://files.pythonhosted.org/packages/4c/bf/5b23bf7c71b4b9de9f6d226104fe8ce7afab91a01f70fc9e21946cb18262/galsim-2.8.4-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c9e94e4a65245ea2d0576af792da8c4c83a0d411d32e0ed0490a468e7ab33aa8", size = 55816308, upload-time = "2026-02-22T23:23:41.668Z" }, + { url = "https://files.pythonhosted.org/packages/a3/fe/62a75c657075f008814a01cf55aca71f98e5dd5312f4c9cbcbdcf3fcc550/galsim-2.8.4-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:8410c170b9d6e0b466749d1417ddc016be9ed504c045557b3819ca09d366aa9e", size = 56565122, upload-time = "2026-02-22T23:23:44.907Z" }, + { url = "https://files.pythonhosted.org/packages/0e/da/a8d051b4cf8355fbb24b87519c9428728b6340225c6576e27912f240657f/galsim-2.8.4-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:8afacd66e07fb9bfcda7fdf5a4e6e134b13d16d607f43520c15229687b157400", size = 5885879, upload-time = "2026-02-22T23:23:47.597Z" }, + { url = "https://files.pythonhosted.org/packages/c8/5e/448762c87f25fc187f1e734021c6c65a3052239c1ea47abb203051250451/galsim-2.8.4-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:a0e7240f0c95270e923eac3cb4db0b295b89b7d4375b415a3c3225220896af0e", size = 6893219, upload-time = "2026-02-22T23:23:49.243Z" }, + { url = "https://files.pythonhosted.org/packages/42/09/f224c9279ccc9b9c53ad02c3f6d8bac41f8314fc61843aabebea6c54ab01/galsim-2.8.4-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ccc89555c1cb4ad02b3706cb4d7c010a1822c1bf5ad6306545e4eddd81dc5eb0", size = 55572971, upload-time = "2026-02-22T23:23:51.287Z" }, + { url = "https://files.pythonhosted.org/packages/fa/66/ec10112baeda2452e398c5d5c32331ee0432b1a6f59a04a57c497d54a10d/galsim-2.8.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:48554af6aca27b6e68d1ffa53d16ba39ebb526e87943257d34999c6d4f00c2af", size = 56334003, upload-time = "2026-02-22T23:23:54.402Z" }, + { url = "https://files.pythonhosted.org/packages/16/a5/b11ee291c76852f2a730931e0aaaccf90c8cb3041579f1ac13561fe0a3e6/galsim-2.8.4-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:a6f4b45a20eb22bdb6d4261249d27d4ec0662c4b06278dda367ee9b40f30ecc0", size = 5885910, upload-time = "2026-02-22T23:23:57.125Z" }, + { url = "https://files.pythonhosted.org/packages/3d/2a/67ad8336ca09a91d2517b125e757cea423347c99463ecf0e58b6e0c0b50b/galsim-2.8.4-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:dced6d77e18cfdab7a8578db343d7095653c8a9a76bfbcb8b233ca282f4813b3", size = 6893212, upload-time = "2026-02-22T23:23:59.098Z" }, + { url = "https://files.pythonhosted.org/packages/9f/24/3f0ba8ac584787f840a3d2715a8e8e36a4d8e89845fdcbb8ace28f6025c0/galsim-2.8.4-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0845e6a7a666fe12c88b975e783314b8fae0dfa5d21fb9f8c04d2790feb08fd8", size = 55619993, upload-time = "2026-02-22T23:24:01.421Z" }, + { url = "https://files.pythonhosted.org/packages/e6/e4/56aec9553fdd2977eaf3ef4b80ed4de25d5d71afc693520e66c604dc1388/galsim-2.8.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:c27b3853ac59b1781a7f45c3c2e1abc25ca8558fd4d9fb62cb7f0471c4397e03", size = 56317797, upload-time = "2026-02-22T23:24:05.409Z" }, + { url = "https://files.pythonhosted.org/packages/a5/dd/d6d1312d5ab83927929e86ced46bf1e28620d223d73a34109502a72d1a8b/galsim-2.8.4-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:1cccc2999622d8f931ca1da7664a712910d9ce3aaf7a04a0a19a402e3080a255", size = 5876491, upload-time = "2026-02-22T23:24:08.147Z" }, + { url = "https://files.pythonhosted.org/packages/08/3b/f66b4ba00bbc6895ce7d7943cc3e719f822a9775c3f127dd1f650004ad66/galsim-2.8.4-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:ea125ef36f9a8b1a0d6fcddae1cdbf8ca9ccf986d10b7bbab4f78a689382fa25", size = 6893527, upload-time = "2026-02-22T23:24:09.983Z" }, + { url = "https://files.pythonhosted.org/packages/0b/b7/d8437a1818fc8015c6bbe985297d39a5a0e33e7029aa02db90e9cf4faff3/galsim-2.8.4-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ade67ffb0b5b1a85d58efab5b6d83042b27eea9475b129bd9ea47d9b5b32ce75", size = 55573321, upload-time = "2026-02-22T23:24:12.34Z" }, + { url = "https://files.pythonhosted.org/packages/68/a2/5f89db85856613d0a085d42b565296bc697b436fc0dab4f6ebbfbf35aa97/galsim-2.8.4-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:57ebf2670090839a54776d0f8b0a195584bd0aada1e2256ae3a4db503e1e0c8c", size = 56279408, upload-time = "2026-02-22T23:24:15.697Z" }, + { url = "https://files.pythonhosted.org/packages/7f/1d/06f5f9f2e3b5bbcb5c9a3d897974b0716be9483960430361b994934bc67f/galsim-2.8.4-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:addaccabfae01a077d8b9063aaeab35022e96cb24e3e05ac6e56a9623370edcd", size = 5919891, upload-time = "2026-02-22T23:24:18.391Z" }, + { url = "https://files.pythonhosted.org/packages/23/06/a84187ca12475d98f6996d312fca504d85ec4988f21f1cdc72123bd1e706/galsim-2.8.4-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:2a70246183293149e9ee643ec06980a058f0b854bb9555ced54dd55c1128d7a0", size = 6914271, upload-time = "2026-02-22T23:24:20.417Z" }, + { url = "https://files.pythonhosted.org/packages/00/f2/97c4c35ccb72c3f6e8aa651c2743e8ed4ab45362ade300126545cac427f3/galsim-2.8.4-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2bb7dd15217036384a29f3b6e3ce3a6524162a903a563c4bae465f35c68aae60", size = 56696189, upload-time = "2026-02-22T23:24:22.841Z" }, + { url = "https://files.pythonhosted.org/packages/bb/5f/2c87d3e63d522e2ecb096995e71d4cfb5f320fc69f75285cfca957c910cd/galsim-2.8.4-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:2c0956a376a441a13064cc8f39c277351fa3bc852ed0756e540c7e815f005fb8", size = 57139509, upload-time = "2026-02-22T23:24:26.335Z" }, ] [[package]] @@ -758,9 +841,8 @@ name = "h5netcdf" version = "1.8.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "packaging" }, + { name = "numpy", marker = "python_full_version < '3.12'" }, + { name = "packaging", marker = "python_full_version < '3.12'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/ef/03/92d6cc02c0055158167255980461155d6e17f1c4143c03f8bcc18d3e3f3a/h5netcdf-1.8.1.tar.gz", hash = "sha256:9b396a4cc346050fc1a4df8523bc1853681ec3544e0449027ae397cb953c7a16", size = 78679, upload-time = "2026-01-23T07:35:31.233Z" } wheels = [ @@ -769,37 +851,53 @@ wheels = [ [[package]] name = "h5py" -version = "3.15.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/4d/6a/0d79de0b025aa85dc8864de8e97659c94cf3d23148394a954dc5ca52f8c8/h5py-3.15.1.tar.gz", hash = "sha256:c86e3ed45c4473564de55aa83b6fc9e5ead86578773dfbd93047380042e26b69", size = 426236, upload-time = "2025-10-16T10:35:27.404Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/86/30/8fa61698b438dd751fa46a359792e801191dadab560d0a5f1c709443ef8e/h5py-3.15.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:67e59f6c2f19a32973a40f43d9a088ae324fe228c8366e25ebc57ceebf093a6b", size = 3414477, upload-time = "2025-10-16T10:33:24.201Z" }, - { url = "https://files.pythonhosted.org/packages/16/16/db2f63302937337c4e9e51d97a5984b769bdb7488e3d37632a6ac297f8ef/h5py-3.15.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e2f471688402c3404fa4e13466e373e622fd4b74b47b56cfdff7cc688209422", size = 2850298, upload-time = "2025-10-16T10:33:27.747Z" }, - { url = "https://files.pythonhosted.org/packages/fc/2e/f1bb7de9b05112bfd14d5206090f0f92f1e75bbb412fbec5d4653c3d44dd/h5py-3.15.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c45802bcb711e128a6839cb6c01e9ac648dc55df045c9542a675c771f15c8d5", size = 4523605, upload-time = "2025-10-16T10:33:31.168Z" }, - { url = "https://files.pythonhosted.org/packages/05/8a/63f4b08f3628171ce8da1a04681a65ee7ac338fde3cb3e9e3c9f7818e4da/h5py-3.15.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:64ce3f6470adb87c06e3a8dd1b90e973699f1759ad79bfa70c230939bff356c9", size = 4735346, upload-time = "2025-10-16T10:33:34.759Z" }, - { url = "https://files.pythonhosted.org/packages/74/48/f16d12d9de22277605bcc11c0dcab5e35f06a54be4798faa2636b5d44b3c/h5py-3.15.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4411c1867b9899a25e983fff56d820a66f52ac326bbe10c7cdf7d832c9dcd883", size = 4175305, upload-time = "2025-10-16T10:33:38.83Z" }, - { url = "https://files.pythonhosted.org/packages/d6/2f/47cdbff65b2ce53c27458c6df63a232d7bb1644b97df37b2342442342c84/h5py-3.15.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2cbc4104d3d4aca9d6db8c0c694555e255805bfeacf9eb1349bda871e26cacbe", size = 4653602, upload-time = "2025-10-16T10:33:42.188Z" }, - { url = "https://files.pythonhosted.org/packages/c3/28/dc08de359c2f43a67baa529cb70d7f9599848750031975eed92d6ae78e1d/h5py-3.15.1-cp310-cp310-win_amd64.whl", hash = "sha256:01f55111ca516f5568ae7a7fc8247dfce607de331b4467ee8a9a6ed14e5422c7", size = 2873601, upload-time = "2025-10-16T10:33:45.323Z" }, - { url = "https://files.pythonhosted.org/packages/41/fd/8349b48b15b47768042cff06ad6e1c229f0a4bd89225bf6b6894fea27e6d/h5py-3.15.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5aaa330bcbf2830150c50897ea5dcbed30b5b6d56897289846ac5b9e529ec243", size = 3434135, upload-time = "2025-10-16T10:33:47.954Z" }, - { url = "https://files.pythonhosted.org/packages/c1/b0/1c628e26a0b95858f54aba17e1599e7f6cd241727596cc2580b72cb0a9bf/h5py-3.15.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c970fb80001fffabb0109eaf95116c8e7c0d3ca2de854e0901e8a04c1f098509", size = 2870958, upload-time = "2025-10-16T10:33:50.907Z" }, - { url = "https://files.pythonhosted.org/packages/f9/e3/c255cafc9b85e6ea04e2ad1bba1416baa1d7f57fc98a214be1144087690c/h5py-3.15.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:80e5bb5b9508d5d9da09f81fd00abbb3f85da8143e56b1585d59bc8ceb1dba8b", size = 4504770, upload-time = "2025-10-16T10:33:54.357Z" }, - { url = "https://files.pythonhosted.org/packages/8b/23/4ab1108e87851ccc69694b03b817d92e142966a6c4abd99e17db77f2c066/h5py-3.15.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5b849ba619a066196169763c33f9f0f02e381156d61c03e000bb0100f9950faf", size = 4700329, upload-time = "2025-10-16T10:33:57.616Z" }, - { url = "https://files.pythonhosted.org/packages/a4/e4/932a3a8516e4e475b90969bf250b1924dbe3612a02b897e426613aed68f4/h5py-3.15.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:e7f6c841efd4e6e5b7e82222eaf90819927b6d256ab0f3aca29675601f654f3c", size = 4152456, upload-time = "2025-10-16T10:34:00.843Z" }, - { url = "https://files.pythonhosted.org/packages/2a/0a/f74d589883b13737021b2049ac796328f188dbb60c2ed35b101f5b95a3fc/h5py-3.15.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ca8a3a22458956ee7b40d8e39c9a9dc01f82933e4c030c964f8b875592f4d831", size = 4617295, upload-time = "2025-10-16T10:34:04.154Z" }, - { url = "https://files.pythonhosted.org/packages/23/95/499b4e56452ef8b6c95a271af0dde08dac4ddb70515a75f346d4f400579b/h5py-3.15.1-cp311-cp311-win_amd64.whl", hash = "sha256:550e51131376889656feec4aff2170efc054a7fe79eb1da3bb92e1625d1ac878", size = 2882129, upload-time = "2025-10-16T10:34:06.886Z" }, - { url = "https://files.pythonhosted.org/packages/ce/bb/cfcc70b8a42222ba3ad4478bcef1791181ea908e2adbd7d53c66395edad5/h5py-3.15.1-cp311-cp311-win_arm64.whl", hash = "sha256:b39239947cb36a819147fc19e86b618dcb0953d1cd969f5ed71fc0de60392427", size = 2477121, upload-time = "2025-10-16T10:34:09.579Z" }, - { url = "https://files.pythonhosted.org/packages/62/b8/c0d9aa013ecfa8b7057946c080c0c07f6fa41e231d2e9bd306a2f8110bdc/h5py-3.15.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:316dd0f119734f324ca7ed10b5627a2de4ea42cc4dfbcedbee026aaa361c238c", size = 3399089, upload-time = "2025-10-16T10:34:12.135Z" }, - { url = "https://files.pythonhosted.org/packages/a4/5e/3c6f6e0430813c7aefe784d00c6711166f46225f5d229546eb53032c3707/h5py-3.15.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b51469890e58e85d5242e43aab29f5e9c7e526b951caab354f3ded4ac88e7b76", size = 2847803, upload-time = "2025-10-16T10:34:14.564Z" }, - { url = "https://files.pythonhosted.org/packages/00/69/ba36273b888a4a48d78f9268d2aee05787e4438557450a8442946ab8f3ec/h5py-3.15.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a33bfd5dfcea037196f7778534b1ff7e36a7f40a89e648c8f2967292eb6898e", size = 4914884, upload-time = "2025-10-16T10:34:18.452Z" }, - { url = "https://files.pythonhosted.org/packages/3a/30/d1c94066343a98bb2cea40120873193a4fed68c4ad7f8935c11caf74c681/h5py-3.15.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:25c8843fec43b2cc368aa15afa1cdf83fc5e17b1c4e10cd3771ef6c39b72e5ce", size = 5109965, upload-time = "2025-10-16T10:34:21.853Z" }, - { url = "https://files.pythonhosted.org/packages/81/3d/d28172116eafc3bc9f5991b3cb3fd2c8a95f5984f50880adfdf991de9087/h5py-3.15.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a308fd8681a864c04423c0324527237a0484e2611e3441f8089fd00ed56a8171", size = 4561870, upload-time = "2025-10-16T10:34:26.69Z" }, - { url = "https://files.pythonhosted.org/packages/a5/83/393a7226024238b0f51965a7156004eaae1fcf84aa4bfecf7e582676271b/h5py-3.15.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f4a016df3f4a8a14d573b496e4d1964deb380e26031fc85fb40e417e9131888a", size = 5037161, upload-time = "2025-10-16T10:34:30.383Z" }, - { url = "https://files.pythonhosted.org/packages/cf/51/329e7436bf87ca6b0fe06dd0a3795c34bebe4ed8d6c44450a20565d57832/h5py-3.15.1-cp312-cp312-win_amd64.whl", hash = "sha256:59b25cf02411bf12e14f803fef0b80886444c7fe21a5ad17c6a28d3f08098a1e", size = 2874165, upload-time = "2025-10-16T10:34:33.461Z" }, - { url = "https://files.pythonhosted.org/packages/09/a8/2d02b10a66747c54446e932171dd89b8b4126c0111b440e6bc05a7c852ec/h5py-3.15.1-cp312-cp312-win_arm64.whl", hash = "sha256:61d5a58a9851e01ee61c932bbbb1c98fe20aba0a5674776600fb9a361c0aa652", size = 2458214, upload-time = "2025-10-16T10:34:35.733Z" }, +version = "3.16.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy", marker = "python_full_version < '3.12'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/db/33/acd0ce6863b6c0d7735007df01815403f5589a21ff8c2e1ee2587a38f548/h5py-3.16.0.tar.gz", hash = "sha256:a0dbaad796840ccaa67a4c144a0d0c8080073c34c76d5a6941d6818678ef2738", size = 446526, upload-time = "2026-03-06T13:49:08.07Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ba/95/a825894f3e45cbac7554c4e97314ce886b233a20033787eda755ca8fecc7/h5py-3.16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:719439d14b83f74eeb080e9650a6c7aa6d0d9ea0ca7f804347b05fac6fbf18af", size = 3721663, upload-time = "2026-03-06T13:47:49.599Z" }, + { url = "https://files.pythonhosted.org/packages/bf/3b/38ff88b347c3e346cda1d3fc1b65a7aa75d40632228d8b8a5d7b58508c24/h5py-3.16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c3f0a0e136f2e95dd0b67146abb6668af4f1a69c81ef8651a2d316e8e01de447", size = 3087630, upload-time = "2026-03-06T13:47:51.249Z" }, + { url = "https://files.pythonhosted.org/packages/98/a8/2594cef906aee761601eff842c7dc598bea2b394a3e1c00966832b8eeb7c/h5py-3.16.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:a6fbc5367d4046801f9b7db9191b31895f22f1c6df1f9987d667854cac493538", size = 4823472, upload-time = "2026-03-06T13:47:53.085Z" }, + { url = "https://files.pythonhosted.org/packages/52/a0/c1f604538ff6db22a0690be2dc44ab59178e115f63c917794e529356ab23/h5py-3.16.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:fb1720028d99040792bb2fb31facb8da44a6f29df7697e0b84f0d79aff2e9bd3", size = 5027150, upload-time = "2026-03-06T13:47:55.043Z" }, + { url = "https://files.pythonhosted.org/packages/2e/fd/301739083c2fc4fd89950f9bcfce75d6e14b40b0ca3d40e48a8993d1722c/h5py-3.16.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:314b6054fe0b1051c2b0cb2df5cbdab15622fb05e80f202e3b6a5eee0d6fe365", size = 4814544, upload-time = "2026-03-06T13:47:56.893Z" }, + { url = "https://files.pythonhosted.org/packages/4c/42/2193ed41ccee78baba8fcc0cff2c925b8b9ee3793305b23e1f22c20bf4c7/h5py-3.16.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ffbab2fedd6581f6aa31cf1639ca2cb86e02779de525667892ebf4cc9fd26434", size = 5034013, upload-time = "2026-03-06T13:47:59.01Z" }, + { url = "https://files.pythonhosted.org/packages/f7/20/e6c0ff62ca2ad1a396a34f4380bafccaaf8791ff8fccf3d995a1fc12d417/h5py-3.16.0-cp311-cp311-win_amd64.whl", hash = "sha256:17d1f1630f92ad74494a9a7392ab25982ce2b469fc62da6074c0ce48366a2999", size = 3191673, upload-time = "2026-03-06T13:48:00.626Z" }, + { url = "https://files.pythonhosted.org/packages/f2/48/239cbe352ac4f2b8243a8e620fa1a2034635f633731493a7ff1ed71e8658/h5py-3.16.0-cp311-cp311-win_arm64.whl", hash = "sha256:85b9c49dd58dc44cf70af944784e2c2038b6f799665d0dcbbc812a26e0faa859", size = 2673834, upload-time = "2026-03-06T13:48:02.579Z" }, + { url = "https://files.pythonhosted.org/packages/c8/c0/5d4119dba94093bbafede500d3defd2f5eab7897732998c04b54021e530b/h5py-3.16.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c5313566f4643121a78503a473f0fb1e6dcc541d5115c44f05e037609c565c4d", size = 3685604, upload-time = "2026-03-06T13:48:04.198Z" }, + { url = "https://files.pythonhosted.org/packages/b0/42/c84efcc1d4caebafb1ecd8be4643f39c85c47a80fe254d92b8b43b1eadaf/h5py-3.16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:42b012933a83e1a558c673176676a10ce2fd3759976a0fedee1e672d1e04fc9d", size = 3061940, upload-time = "2026-03-06T13:48:05.783Z" }, + { url = "https://files.pythonhosted.org/packages/89/84/06281c82d4d1686fde1ac6b0f307c50918f1c0151062445ab3b6fa5a921d/h5py-3.16.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:ff24039e2573297787c3063df64b60aab0591980ac898329a08b0320e0cf2527", size = 5198852, upload-time = "2026-03-06T13:48:07.482Z" }, + { url = "https://files.pythonhosted.org/packages/9e/e9/1a19e42cd43cc1365e127db6aae85e1c671da1d9a5d746f4d34a50edb577/h5py-3.16.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:dfc21898ff025f1e8e67e194965a95a8d4754f452f83454538f98f8a3fcb207e", size = 5405250, upload-time = "2026-03-06T13:48:09.628Z" }, + { url = "https://files.pythonhosted.org/packages/b7/8e/9790c1655eabeb85b92b1ecab7d7e62a2069e53baefd58c98f0909c7a948/h5py-3.16.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:698dd69291272642ffda44a0ecd6cd3bda5faf9621452d255f57ce91487b9794", size = 5190108, upload-time = "2026-03-06T13:48:11.26Z" }, + { url = "https://files.pythonhosted.org/packages/51/d7/ab693274f1bd7e8c5f9fdd6c7003a88d59bedeaf8752716a55f532924fbb/h5py-3.16.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2b2c02b0a160faed5fb33f1ba8a264a37ee240b22e049ecc827345d0d9043074", size = 5419216, upload-time = "2026-03-06T13:48:13.322Z" }, + { url = "https://files.pythonhosted.org/packages/03/c1/0976b235cf29ead553e22f2fb6385a8252b533715e00d0ae52ed7b900582/h5py-3.16.0-cp312-cp312-win_amd64.whl", hash = "sha256:96b422019a1c8975c2d5dadcf61d4ba6f01c31f92bbde6e4649607885fe502d6", size = 3182868, upload-time = "2026-03-06T13:48:15.759Z" }, + { url = "https://files.pythonhosted.org/packages/14/d9/866b7e570b39070f92d47b0ff1800f0f8239b6f9e45f02363d7112336c1f/h5py-3.16.0-cp312-cp312-win_arm64.whl", hash = "sha256:39c2838fb1e8d97bcf1755e60ad1f3dd76a7b2a475928dc321672752678b96db", size = 2653286, upload-time = "2026-03-06T13:48:17.279Z" }, + { url = "https://files.pythonhosted.org/packages/0f/9e/6142ebfda0cb6e9349c091eae73c2e01a770b7659255248d637bec54a88b/h5py-3.16.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:370a845f432c2c9619db8eed334d1e610c6015796122b0e57aa46312c22617d9", size = 3671808, upload-time = "2026-03-06T13:48:19.737Z" }, + { url = "https://files.pythonhosted.org/packages/b0/65/5e088a45d0f43cd814bc5bec521c051d42005a472e804b1a36c48dada09b/h5py-3.16.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:42108e93326c50c2810025aade9eac9d6827524cdccc7d4b75a546e5ab308edb", size = 3045837, upload-time = "2026-03-06T13:48:21.854Z" }, + { url = "https://files.pythonhosted.org/packages/da/1e/6172269e18cc5a484e2913ced33339aad588e02ba407fafd00d369e22ef3/h5py-3.16.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:099f2525c9dcf28de366970a5fb34879aab20491589fa89ce2863a84218bb524", size = 5193860, upload-time = "2026-03-06T13:48:24.071Z" }, + { url = "https://files.pythonhosted.org/packages/bd/98/ef2b6fe2903e377cbe870c3b2800d62552f1e3dbe81ce49e1923c53d1c5c/h5py-3.16.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:9300ad32dea9dfc5171f94d5f6948e159ed93e4701280b0f508773b3f582f402", size = 5400417, upload-time = "2026-03-06T13:48:25.728Z" }, + { url = "https://files.pythonhosted.org/packages/bc/81/5b62d760039eed64348c98129d17061fdfc7839fc9c04eaaad6dee1004e4/h5py-3.16.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:171038f23bccddfc23f344cadabdfc9917ff554db6a0d417180d2747fe4c75a7", size = 5185214, upload-time = "2026-03-06T13:48:27.436Z" }, + { url = "https://files.pythonhosted.org/packages/28/c4/532123bcd9080e250696779c927f2cb906c8bf3447df98f5ceb8dcded539/h5py-3.16.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7e420b539fb6023a259a1b14d4c9f6df8cf50d7268f48e161169987a57b737ff", size = 5414598, upload-time = "2026-03-06T13:48:29.49Z" }, + { url = "https://files.pythonhosted.org/packages/c3/d9/a27997f84341fc0dfcdd1fe4179b6ba6c32a7aa880fdb8c514d4dad6fba3/h5py-3.16.0-cp313-cp313-win_amd64.whl", hash = "sha256:18f2bbcd545e6991412253b98727374c356d67caa920e68dc79eab36bf5fedad", size = 3175509, upload-time = "2026-03-06T13:48:31.131Z" }, + { url = "https://files.pythonhosted.org/packages/a5/23/bb8647521d4fd770c30a76cfc6cb6a2f5495868904054e92f2394c5a78ff/h5py-3.16.0-cp313-cp313-win_arm64.whl", hash = "sha256:656f00e4d903199a1d58df06b711cf3ca632b874b4207b7dbec86185b5c8c7d4", size = 2647362, upload-time = "2026-03-06T13:48:33.411Z" }, + { url = "https://files.pythonhosted.org/packages/48/3c/7fcd9b4c9eed82e91fb15568992561019ae7a829d1f696b2c844355d95dd/h5py-3.16.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:9c9d307c0ef862d1cd5714f72ecfafe0a5d7529c44845afa8de9f46e5ba8bd65", size = 3678608, upload-time = "2026-03-06T13:48:35.183Z" }, + { url = "https://files.pythonhosted.org/packages/6a/b7/9366ed44ced9b7ef357ab48c94205280276db9d7f064aa3012a97227e966/h5py-3.16.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:8c1eff849cdd53cbc73c214c30ebdb6f1bb8b64790b4b4fc36acdb5e43570210", size = 3054773, upload-time = "2026-03-06T13:48:37.139Z" }, + { url = "https://files.pythonhosted.org/packages/58/a5/4964bc0e91e86340c2bbda83420225b2f770dcf1eb8a39464871ad769436/h5py-3.16.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:e2c04d129f180019e216ee5f9c40b78a418634091c8782e1f723a6ca3658b965", size = 5198886, upload-time = "2026-03-06T13:48:38.879Z" }, + { url = "https://files.pythonhosted.org/packages/f1/16/d905e7f53e661ce2c24686c38048d8e2b750ffc4350009d41c4e6c6c9826/h5py-3.16.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:e4360f15875a532bc7b98196c7592ed4fc92672a57c0a621355961cafb17a6dd", size = 5404883, upload-time = "2026-03-06T13:48:41.324Z" }, + { url = "https://files.pythonhosted.org/packages/4b/f2/58f34cb74af46d39f4cd18ea20909a8514960c5a3e5b92fd06a28161e0a8/h5py-3.16.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:3fae9197390c325e62e0a1aa977f2f62d994aa87aab182abbea85479b791197c", size = 5192039, upload-time = "2026-03-06T13:48:43.117Z" }, + { url = "https://files.pythonhosted.org/packages/ce/ca/934a39c24ce2e2db017268c08da0537c20fa0be7e1549be3e977313fc8f5/h5py-3.16.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:43259303989ac8adacc9986695b31e35dba6fd1e297ff9c6a04b7da5542139cc", size = 5421526, upload-time = "2026-03-06T13:48:44.838Z" }, + { url = "https://files.pythonhosted.org/packages/3e/14/615a450205e1b56d16c6783f5ccd116cde05550faad70ae077c955654a75/h5py-3.16.0-cp314-cp314-win_amd64.whl", hash = "sha256:fa48993a0b799737ba7fd21e2350fa0a60701e58180fae9f2de834bc39a147ab", size = 3183263, upload-time = "2026-03-06T13:48:47.117Z" }, + { url = "https://files.pythonhosted.org/packages/7b/48/a6faef5ed632cae0c65ac6b214a6614a0b510c3183532c521bdb0055e117/h5py-3.16.0-cp314-cp314-win_arm64.whl", hash = "sha256:1897a771a7f40d05c262fc8f37376ec37873218544b70216872876c627640f63", size = 2663450, upload-time = "2026-03-06T13:48:48.707Z" }, + { url = "https://files.pythonhosted.org/packages/5d/32/0c8bb8aedb62c772cf7c1d427c7d1951477e8c2835f872bc0a13d1f85f86/h5py-3.16.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:15922e485844f77c0b9d275396d435db3baa58292a9c2176a386e072e0cf2491", size = 3760693, upload-time = "2026-03-06T13:48:50.453Z" }, + { url = "https://files.pythonhosted.org/packages/1d/1f/fcc5977d32d6387c5c9a694afee716a5e20658ac08b3ff24fdec79fb05f2/h5py-3.16.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:df02dd29bd247f98674634dfe41f89fd7c16ba3d7de8695ec958f58404a4e618", size = 3181305, upload-time = "2026-03-06T13:48:52.221Z" }, + { url = "https://files.pythonhosted.org/packages/f5/a1/af87f64b9f986889884243643621ebbd4ac72472ba8ec8cec891ac8e2ca1/h5py-3.16.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:0f456f556e4e2cebeebd9d66adf8dc321770a42593494a0b6f0af54a7567b242", size = 5074061, upload-time = "2026-03-06T13:48:54.089Z" }, + { url = "https://files.pythonhosted.org/packages/cc/d0/146f5eaff3dc246a9c7f6e5e4f42bd45cc613bce16693bcd4d1f7c958bf5/h5py-3.16.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:3e6cb3387c756de6a9492d601553dffea3fe11b5f22b443aac708c69f3f55e16", size = 5279216, upload-time = "2026-03-06T13:48:56.75Z" }, + { url = "https://files.pythonhosted.org/packages/a1/9d/12a13424f1e604fc7df9497b73c0356fb78c2fb206abd7465ce47226e8fd/h5py-3.16.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:8389e13a1fd745ad2856873e8187fd10268b2d9677877bb667b41aebd771d8b7", size = 5070068, upload-time = "2026-03-06T13:48:59.169Z" }, + { url = "https://files.pythonhosted.org/packages/41/8c/bbe98f813722b4873818a8db3e15aa3e625b59278566905ac439725e8070/h5py-3.16.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:346df559a0f7dcb31cf8e44805319e2ab24b8957c45e7708ce503b2ec79ba725", size = 5300253, upload-time = "2026-03-06T13:49:02.033Z" }, + { url = "https://files.pythonhosted.org/packages/32/9e/87e6705b4d6890e7cecdf876e2a7d3e40654a2ae37482d79a6f1b87f7b92/h5py-3.16.0-cp314-cp314t-win_amd64.whl", hash = "sha256:4c6ab014ab704b4feaa719ae783b86522ed0bf1f82184704ed3c9e4e3228796e", size = 3381671, upload-time = "2026-03-06T13:49:04.351Z" }, + { url = "https://files.pythonhosted.org/packages/96/91/9fad90cfc5f9b2489c7c26ad897157bce82f0e9534a986a221b99760b23b/h5py-3.16.0-cp314-cp314t-win_arm64.whl", hash = "sha256:faca8fb4e4319c09d83337adc80b2ca7d5c5a343c2d6f1b6388f32cfecca13c1", size = 2740706, upload-time = "2026-03-06T13:49:06.347Z" }, ] [[package]] @@ -821,13 +919,6 @@ version = "0.7.1" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/b5/46/120a669232c7bdedb9d52d4aeae7e6c7dfe151e99dc70802e2fc7a5e1993/httptools-0.7.1.tar.gz", hash = "sha256:abd72556974f8e7c74a259655924a717a2365b236c882c3f6f8a45fe94703ac9", size = 258961, upload-time = "2025-10-10T03:55:08.559Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c7/e5/c07e0bcf4ec8db8164e9f6738c048b2e66aabf30e7506f440c4cc6953f60/httptools-0.7.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:11d01b0ff1fe02c4c32d60af61a4d613b74fad069e47e06e9067758c01e9ac78", size = 204531, upload-time = "2025-10-10T03:54:20.887Z" }, - { url = "https://files.pythonhosted.org/packages/7e/4f/35e3a63f863a659f92ffd92bef131f3e81cf849af26e6435b49bd9f6f751/httptools-0.7.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:84d86c1e5afdc479a6fdabf570be0d3eb791df0ae727e8dbc0259ed1249998d4", size = 109408, upload-time = "2025-10-10T03:54:22.455Z" }, - { url = "https://files.pythonhosted.org/packages/f5/71/b0a9193641d9e2471ac541d3b1b869538a5fb6419d52fd2669fa9c79e4b8/httptools-0.7.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:c8c751014e13d88d2be5f5f14fc8b89612fcfa92a9cc480f2bc1598357a23a05", size = 440889, upload-time = "2025-10-10T03:54:23.753Z" }, - { url = "https://files.pythonhosted.org/packages/eb/d9/2e34811397b76718750fea44658cb0205b84566e895192115252e008b152/httptools-0.7.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:654968cb6b6c77e37b832a9be3d3ecabb243bbe7a0b8f65fbc5b6b04c8fcabed", size = 440460, upload-time = "2025-10-10T03:54:25.313Z" }, - { url = "https://files.pythonhosted.org/packages/01/3f/a04626ebeacc489866bb4d82362c0657b2262bef381d68310134be7f40bb/httptools-0.7.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:b580968316348b474b020edf3988eecd5d6eec4634ee6561e72ae3a2a0e00a8a", size = 425267, upload-time = "2025-10-10T03:54:26.81Z" }, - { url = "https://files.pythonhosted.org/packages/a5/99/adcd4f66614db627b587627c8ad6f4c55f18881549bab10ecf180562e7b9/httptools-0.7.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:d496e2f5245319da9d764296e86c5bb6fcf0cf7a8806d3d000717a889c8c0b7b", size = 424429, upload-time = "2025-10-10T03:54:28.174Z" }, - { url = "https://files.pythonhosted.org/packages/d5/72/ec8fc904a8fd30ba022dfa85f3bbc64c3c7cd75b669e24242c0658e22f3c/httptools-0.7.1-cp310-cp310-win_amd64.whl", hash = "sha256:cbf8317bfccf0fed3b5680c559d3459cccf1abe9039bfa159e62e391c7270568", size = 86173, upload-time = "2025-10-10T03:54:29.5Z" }, { url = "https://files.pythonhosted.org/packages/9c/08/17e07e8d89ab8f343c134616d72eebfe03798835058e2ab579dcc8353c06/httptools-0.7.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:474d3b7ab469fefcca3697a10d11a32ee2b9573250206ba1e50d5980910da657", size = 206521, upload-time = "2025-10-10T03:54:31.002Z" }, { url = "https://files.pythonhosted.org/packages/aa/06/c9c1b41ff52f16aee526fd10fbda99fa4787938aa776858ddc4a1ea825ec/httptools-0.7.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a3c3b7366bb6c7b96bd72d0dbe7f7d5eead261361f013be5f6d9590465ea1c70", size = 110375, upload-time = "2025-10-10T03:54:31.941Z" }, { url = "https://files.pythonhosted.org/packages/cc/cc/10935db22fda0ee34c76f047590ca0a8bd9de531406a3ccb10a90e12ea21/httptools-0.7.1-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:379b479408b8747f47f3b253326183d7c009a3936518cdb70db58cffd369d9df", size = 456621, upload-time = "2025-10-10T03:54:33.176Z" }, @@ -842,6 +933,20 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/22/a5/079d216712a4f3ffa24af4a0381b108aa9c45b7a5cc6eb141f81726b1823/httptools-0.7.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f72fdbae2dbc6e68b8239defb48e6a5937b12218e6ffc2c7846cc37befa84362", size = 495186, upload-time = "2025-10-10T03:54:43.937Z" }, { url = "https://files.pythonhosted.org/packages/e9/9e/025ad7b65278745dee3bd0ebf9314934c4592560878308a6121f7f812084/httptools-0.7.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e99c7b90a29fd82fea9ef57943d501a16f3404d7b9ee81799d41639bdaae412c", size = 499192, upload-time = "2025-10-10T03:54:45.003Z" }, { url = "https://files.pythonhosted.org/packages/6d/de/40a8f202b987d43afc4d54689600ff03ce65680ede2f31df348d7f368b8f/httptools-0.7.1-cp312-cp312-win_amd64.whl", hash = "sha256:3e14f530fefa7499334a79b0cf7e7cd2992870eb893526fb097d51b4f2d0f321", size = 86694, upload-time = "2025-10-10T03:54:45.923Z" }, + { url = "https://files.pythonhosted.org/packages/09/8f/c77b1fcbfd262d422f12da02feb0d218fa228d52485b77b953832105bb90/httptools-0.7.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:6babce6cfa2a99545c60bfef8bee0cc0545413cb0018f617c8059a30ad985de3", size = 202889, upload-time = "2025-10-10T03:54:47.089Z" }, + { url = "https://files.pythonhosted.org/packages/0a/1a/22887f53602feaa066354867bc49a68fc295c2293433177ee90870a7d517/httptools-0.7.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:601b7628de7504077dd3dcb3791c6b8694bbd967148a6d1f01806509254fb1ca", size = 108180, upload-time = "2025-10-10T03:54:48.052Z" }, + { url = "https://files.pythonhosted.org/packages/32/6a/6aaa91937f0010d288d3d124ca2946d48d60c3a5ee7ca62afe870e3ea011/httptools-0.7.1-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:04c6c0e6c5fb0739c5b8a9eb046d298650a0ff38cf42537fc372b28dc7e4472c", size = 478596, upload-time = "2025-10-10T03:54:48.919Z" }, + { url = "https://files.pythonhosted.org/packages/6d/70/023d7ce117993107be88d2cbca566a7c1323ccbaf0af7eabf2064fe356f6/httptools-0.7.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:69d4f9705c405ae3ee83d6a12283dc9feba8cc6aaec671b412917e644ab4fa66", size = 473268, upload-time = "2025-10-10T03:54:49.993Z" }, + { url = "https://files.pythonhosted.org/packages/32/4d/9dd616c38da088e3f436e9a616e1d0cc66544b8cdac405cc4e81c8679fc7/httptools-0.7.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:44c8f4347d4b31269c8a9205d8a5ee2df5322b09bbbd30f8f862185bb6b05346", size = 455517, upload-time = "2025-10-10T03:54:51.066Z" }, + { url = "https://files.pythonhosted.org/packages/1d/3a/a6c595c310b7df958e739aae88724e24f9246a514d909547778d776799be/httptools-0.7.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:465275d76db4d554918aba40bf1cbebe324670f3dfc979eaffaa5d108e2ed650", size = 458337, upload-time = "2025-10-10T03:54:52.196Z" }, + { url = "https://files.pythonhosted.org/packages/fd/82/88e8d6d2c51edc1cc391b6e044c6c435b6aebe97b1abc33db1b0b24cd582/httptools-0.7.1-cp313-cp313-win_amd64.whl", hash = "sha256:322d00c2068d125bd570f7bf78b2d367dad02b919d8581d7476d8b75b294e3e6", size = 85743, upload-time = "2025-10-10T03:54:53.448Z" }, + { url = "https://files.pythonhosted.org/packages/34/50/9d095fcbb6de2d523e027a2f304d4551855c2f46e0b82befd718b8b20056/httptools-0.7.1-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:c08fe65728b8d70b6923ce31e3956f859d5e1e8548e6f22ec520a962c6757270", size = 203619, upload-time = "2025-10-10T03:54:54.321Z" }, + { url = "https://files.pythonhosted.org/packages/07/f0/89720dc5139ae54b03f861b5e2c55a37dba9a5da7d51e1e824a1f343627f/httptools-0.7.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:7aea2e3c3953521c3c51106ee11487a910d45586e351202474d45472db7d72d3", size = 108714, upload-time = "2025-10-10T03:54:55.163Z" }, + { url = "https://files.pythonhosted.org/packages/b3/cb/eea88506f191fb552c11787c23f9a405f4c7b0c5799bf73f2249cd4f5228/httptools-0.7.1-cp314-cp314-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:0e68b8582f4ea9166be62926077a3334064d422cf08ab87d8b74664f8e9058e1", size = 472909, upload-time = "2025-10-10T03:54:56.056Z" }, + { url = "https://files.pythonhosted.org/packages/e0/4a/a548bdfae6369c0d078bab5769f7b66f17f1bfaa6fa28f81d6be6959066b/httptools-0.7.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:df091cf961a3be783d6aebae963cc9b71e00d57fa6f149025075217bc6a55a7b", size = 470831, upload-time = "2025-10-10T03:54:57.219Z" }, + { url = "https://files.pythonhosted.org/packages/4d/31/14df99e1c43bd132eec921c2e7e11cda7852f65619bc0fc5bdc2d0cb126c/httptools-0.7.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:f084813239e1eb403ddacd06a30de3d3e09a9b76e7894dcda2b22f8a726e9c60", size = 452631, upload-time = "2025-10-10T03:54:58.219Z" }, + { url = "https://files.pythonhosted.org/packages/22/d2/b7e131f7be8d854d48cb6d048113c30f9a46dca0c9a8b08fcb3fcd588cdc/httptools-0.7.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:7347714368fb2b335e9063bc2b96f2f87a9ceffcd9758ac295f8bbcd3ffbc0ca", size = 452910, upload-time = "2025-10-10T03:54:59.366Z" }, + { url = "https://files.pythonhosted.org/packages/53/cf/878f3b91e4e6e011eff6d1fa9ca39f7eb17d19c9d7971b04873734112f30/httptools-0.7.1-cp314-cp314-win_amd64.whl", hash = "sha256:cfabda2a5bb85aa2a904ce06d974a3f30fb36cc63d7feaddec05d2050acede96", size = 88205, upload-time = "2025-10-10T03:55:00.389Z" }, ] [[package]] @@ -885,8 +990,8 @@ dependencies = [ { name = "appnope", marker = "sys_platform == 'darwin'" }, { name = "comm" }, { name = "debugpy" }, - { name = "ipython", version = "8.38.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "ipython", version = "9.10.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, + { name = "ipython", version = "9.12.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, { name = "jupyter-client" }, { name = "jupyter-core" }, { name = "matplotlib-inline" }, @@ -904,53 +1009,53 @@ wheels = [ [[package]] name = "ipython" -version = "8.38.0" +version = "9.10.1" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version < '3.11'", + "python_full_version < '3.12'", ] dependencies = [ - { name = "colorama", marker = "python_full_version < '3.11' and sys_platform == 'win32'" }, - { name = "decorator", marker = "python_full_version < '3.11'" }, - { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, - { name = "jedi", marker = "python_full_version < '3.11'" }, - { name = "matplotlib-inline", marker = "python_full_version < '3.11'" }, - { name = "pexpect", marker = "python_full_version < '3.11' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, - { name = "prompt-toolkit", marker = "python_full_version < '3.11'" }, - { name = "pygments", marker = "python_full_version < '3.11'" }, - { name = "stack-data", marker = "python_full_version < '3.11'" }, - { name = "traitlets", marker = "python_full_version < '3.11'" }, - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, + { name = "colorama", marker = "python_full_version < '3.12' and sys_platform == 'win32'" }, + { name = "decorator", marker = "python_full_version < '3.12'" }, + { name = "ipython-pygments-lexers", marker = "python_full_version < '3.12'" }, + { name = "jedi", marker = "python_full_version < '3.12'" }, + { name = "matplotlib-inline", marker = "python_full_version < '3.12'" }, + { name = "pexpect", marker = "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "prompt-toolkit", marker = "python_full_version < '3.12'" }, + { name = "pygments", marker = "python_full_version < '3.12'" }, + { name = "stack-data", marker = "python_full_version < '3.12'" }, + { name = "traitlets", marker = "python_full_version < '3.12'" }, + { name = "typing-extensions", marker = "python_full_version < '3.12'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/e5/61/1810830e8b93c72dcd3c0f150c80a00c3deb229562d9423807ec92c3a539/ipython-8.38.0.tar.gz", hash = "sha256:9cfea8c903ce0867cc2f23199ed8545eb741f3a69420bfcf3743ad1cec856d39", size = 5513996, upload-time = "2026-01-05T10:59:06.901Z" } +sdist = { url = "https://files.pythonhosted.org/packages/c5/25/daae0e764047b0a2480c7bbb25d48f4f509b5818636562eeac145d06dfee/ipython-9.10.1.tar.gz", hash = "sha256:e170e9b2a44312484415bdb750492699bf329233b03f2557a9692cce6466ada4", size = 4426663, upload-time = "2026-03-27T09:53:26.244Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/9f/df/db59624f4c71b39717c423409950ac3f2c8b2ce4b0aac843112c7fb3f721/ipython-8.38.0-py3-none-any.whl", hash = "sha256:750162629d800ac65bb3b543a14e7a74b0e88063eac9b92124d4b2aa3f6d8e86", size = 831813, upload-time = "2026-01-05T10:59:04.239Z" }, + { url = "https://files.pythonhosted.org/packages/01/09/ba70f8d662d5671687da55ad2cc0064cf795b15e1eea70907532202e7c97/ipython-9.10.1-py3-none-any.whl", hash = "sha256:82d18ae9fb9164ded080c71ef92a182ee35ee7db2395f67616034bebb020a232", size = 622827, upload-time = "2026-03-27T09:53:24.566Z" }, ] [[package]] name = "ipython" -version = "9.10.0" +version = "9.12.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", + "python_full_version >= '3.14'", + "python_full_version == '3.13.*'", + "python_full_version == '3.12.*'", ] dependencies = [ - { name = "colorama", marker = "python_full_version >= '3.11' and sys_platform == 'win32'" }, - { name = "decorator", marker = "python_full_version >= '3.11'" }, - { name = "ipython-pygments-lexers", marker = "python_full_version >= '3.11'" }, - { name = "jedi", marker = "python_full_version >= '3.11'" }, - { name = "matplotlib-inline", marker = "python_full_version >= '3.11'" }, - { name = "pexpect", marker = "python_full_version >= '3.11' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, - { name = "prompt-toolkit", marker = "python_full_version >= '3.11'" }, - { name = "pygments", marker = "python_full_version >= '3.11'" }, - { name = "stack-data", marker = "python_full_version >= '3.11'" }, - { name = "traitlets", marker = "python_full_version >= '3.11'" }, - { name = "typing-extensions", marker = "python_full_version == '3.11.*'" }, + { name = "colorama", marker = "python_full_version >= '3.12' and sys_platform == 'win32'" }, + { name = "decorator", marker = "python_full_version >= '3.12'" }, + { name = "ipython-pygments-lexers", marker = "python_full_version >= '3.12'" }, + { name = "jedi", marker = "python_full_version >= '3.12'" }, + { name = "matplotlib-inline", marker = "python_full_version >= '3.12'" }, + { name = "pexpect", marker = "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "prompt-toolkit", marker = "python_full_version >= '3.12'" }, + { name = "pygments", marker = "python_full_version >= '3.12'" }, + { name = "stack-data", marker = "python_full_version >= '3.12'" }, + { name = "traitlets", marker = "python_full_version >= '3.12'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/a6/60/2111715ea11f39b1535bed6024b7dec7918b71e5e5d30855a5b503056b50/ipython-9.10.0.tar.gz", hash = "sha256:cd9e656be97618a0676d058134cd44e6dc7012c0e5cb36a9ce96a8c904adaf77", size = 4426526, upload-time = "2026-02-02T10:00:33.594Z" } +sdist = { url = "https://files.pythonhosted.org/packages/3a/73/7114f80a8f9cabdb13c27732dce24af945b2923dcab80723602f7c8bc2d8/ipython-9.12.0.tar.gz", hash = "sha256:01daa83f504b693ba523b5a407246cabde4eb4513285a3c6acaff11a66735ee4", size = 4428879, upload-time = "2026-03-27T09:42:45.312Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/3d/aa/898dec789a05731cd5a9f50605b7b44a72bd198fd0d4528e11fc610177cc/ipython-9.10.0-py3-none-any.whl", hash = "sha256:c6ab68cc23bba8c7e18e9b932797014cc61ea7fd6f19de180ab9ba73e65ee58d", size = 622774, upload-time = "2026-02-02T10:00:31.503Z" }, + { url = "https://files.pythonhosted.org/packages/59/22/906c8108974c673ebef6356c506cebb6870d48cedea3c41e949e2dd556bb/ipython-9.12.0-py3-none-any.whl", hash = "sha256:0f2701e8ee86e117e37f50563205d36feaa259d2e08d4a6bc6b6d74b18ce128d", size = 625661, upload-time = "2026-03-27T09:42:42.831Z" }, ] [[package]] @@ -958,7 +1063,7 @@ name = "ipython-pygments-lexers" version = "1.1.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "pygments", marker = "python_full_version >= '3.11'" }, + { name = "pygments" }, ] sdist = { url = "https://files.pythonhosted.org/packages/ef/4c/5dd1d8af08107f88c7f741ead7a40854b8ac24ddf9ae850afbcf698aa552/ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81", size = 8393, upload-time = "2025-01-17T11:24:34.505Z" } wheels = [ @@ -981,11 +1086,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "jaxlib" }, { name = "ml-dtypes" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "opt-einsum" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scipy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/cf/1e/267f59c8fb7f143c3f778c76cb7ef1389db3fd7e4540f04b9f42ca90764d/jax-0.6.2.tar.gz", hash = "sha256:a437d29038cbc8300334119692744704ca7941490867b9665406b7f90665cd96", size = 2334091, upload-time = "2025-06-17T23:10:27.186Z" } wheels = [ @@ -1015,12 +1118,14 @@ dependencies = [ { name = "jax-cuda12-pjrt" }, ] wheels = [ - { url = "https://files.pythonhosted.org/packages/58/29/4b8822ca459da39bda9be7454908ae4e29d88cfb99b480b641cbb063af7a/jax_cuda12_plugin-0.6.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:bc5c3a75d05519b4d326e4669d0f7ad0fe0f0acf875f9313d913748ccca5a9ea", size = 15873729, upload-time = "2025-06-17T23:12:05.046Z" }, - { url = "https://files.pythonhosted.org/packages/4d/3d/f543bab6ef7eebb9840d618fb2272bdcc0e990e60aa012f14a3564532823/jax_cuda12_plugin-0.6.2-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:1751f88989269b3cdb0dfe4f7b072a6442149818c9bc98c3a395c8acaf910a79", size = 15879965, upload-time = "2025-06-17T23:12:07.323Z" }, { url = "https://files.pythonhosted.org/packages/9e/99/90f81c660bf662698be17e8b959d8302682c5cd5ce0729c0bfc883d8affe/jax_cuda12_plugin-0.6.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:2cd8e279a59a38ba0c978a831e13adeb6ee9e4572fba387c7975ba3ad535dd38", size = 15873970, upload-time = "2025-06-17T23:12:09.492Z" }, { url = "https://files.pythonhosted.org/packages/ad/00/e733c87a2fb7265c96f48c991a896552c873de949217823d519288724d91/jax_cuda12_plugin-0.6.2-cp311-cp311-manylinux2014_x86_64.whl", hash = "sha256:0896cbb308d95291e205cd89d254029dee3a1df43d66e9831331a9afd2d27870", size = 15879563, upload-time = "2025-06-17T23:12:11.439Z" }, { url = "https://files.pythonhosted.org/packages/1d/53/6ea0db7230ac3dcb26b732452f4f2e2c6868b75d3603be19cee388fef279/jax_cuda12_plugin-0.6.2-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:6c9b002d13b1fcb9403713eedd3876a227ad1ffbdfb3811b1f9f89af4c25a5f7", size = 15867462, upload-time = "2025-06-17T23:12:14.093Z" }, { url = "https://files.pythonhosted.org/packages/a5/db/e6643143caf573273eedb991cb1af2bea964b84594a8887802eb0b6ba64a/jax_cuda12_plugin-0.6.2-cp312-cp312-manylinux2014_x86_64.whl", hash = "sha256:febd099f970d350eb8fa5a2c9a2fb4b0ea7b3d6a89df1496663edfa7afe590e5", size = 15876401, upload-time = "2025-06-17T23:12:15.964Z" }, + { url = "https://files.pythonhosted.org/packages/b4/10/74fbae1c1bb9d11b113c62e03c445bdf0aaaa4981bc13d2de8e3f4f503ca/jax_cuda12_plugin-0.6.2-cp313-cp313-manylinux2014_aarch64.whl", hash = "sha256:773efa8b55a837406c561f0ef02144dda9019181193760ec5419eec9dd2b9aac", size = 15868561, upload-time = "2025-06-17T23:12:18.189Z" }, + { url = "https://files.pythonhosted.org/packages/2b/96/53928ad62ecddbf76f4c413025fdeab5a90adf7fbd970d800162399e504a/jax_cuda12_plugin-0.6.2-cp313-cp313-manylinux2014_x86_64.whl", hash = "sha256:db4c6103c912d8cd1adf94c34d313bb4760ca7f01c897ca7cd62e65f27994199", size = 15876276, upload-time = "2025-06-17T23:12:20.361Z" }, + { url = "https://files.pythonhosted.org/packages/22/29/f1c1790d77ccad3587e6c97045b567006a8050fec151581d4cf883779e25/jax_cuda12_plugin-0.6.2-cp313-cp313t-manylinux2014_aarch64.whl", hash = "sha256:ed5316ca1818db7ef53230ee0a41398d3a60942e361dfb857a952eb4d92fc8d7", size = 15964355, upload-time = "2025-06-17T23:12:22.176Z" }, + { url = "https://files.pythonhosted.org/packages/07/af/c3224aafbc1d2d7654359a5410319bf15361067635bd3616cf5ad3e16af2/jax_cuda12_plugin-0.6.2-cp313-cp313t-manylinux2014_x86_64.whl", hash = "sha256:83345f52f610cdb8e90044566d8e120864150b8090968c8ab6dd8e0bfb9a6a9f", size = 16037754, upload-time = "2025-06-17T23:12:24.066Z" }, ] [package.optional-dependencies] @@ -1041,15 +1146,13 @@ with-cuda = [ [[package]] name = "jax-galsim" -version = "2026.2.1.dev18+g934682181" -source = { git = "https://github.com/GalSim-developers/JAX-GalSim.git?branch=main#934682181dbde10a70be72ca8a6e7b53cb4f5586" } +version = "2026.2.1.dev25+g5f1e186a7" +source = { git = "https://github.com/GalSim-developers/JAX-GalSim.git?branch=main#5f1e186a79fc420e0bc63db4b03cc10e8ca7270e" } dependencies = [ - { name = "astropy", version = "6.1.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "astropy", version = "7.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "astropy" }, { name = "galsim" }, { name = "jax" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "quadax" }, ] @@ -1059,16 +1162,10 @@ version = "0.6.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "ml-dtypes" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, + { name = "scipy" }, ] wheels = [ - { url = "https://files.pythonhosted.org/packages/15/c5/41598634c99cbebba46e6777286fb76abc449d33d50aeae5d36128ca8803/jaxlib-0.6.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:da4601b2b5dc8c23d6afb293eacfb9aec4e1d1871cb2f29c5a151d103e73b0f8", size = 54298019, upload-time = "2025-06-17T23:10:36.916Z" }, - { url = "https://files.pythonhosted.org/packages/81/af/db07d746cd5867d5967528e7811da53374e94f64e80a890d6a5a4b95b130/jaxlib-0.6.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:4205d098ce8efb5f7fe2fe5098bae6036094dc8d8829f5e0e0d7a9b155326336", size = 79440052, upload-time = "2025-06-17T23:10:41.282Z" }, - { url = "https://files.pythonhosted.org/packages/7e/d8/b7ae9e819c62c1854dbc2c70540a5c041173fbc8bec5e78ab7fd615a4aee/jaxlib-0.6.2-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:c087a0eb6fb7f6f8f54d56f4730328dfde5040dd3b5ddfa810e7c28ea7102b42", size = 89917034, upload-time = "2025-06-17T23:10:45.897Z" }, - { url = "https://files.pythonhosted.org/packages/fd/e5/87e91bc70569ac5c3e3449eefcaf47986e892f10cfe1d5e5720dceae3068/jaxlib-0.6.2-cp310-cp310-win_amd64.whl", hash = "sha256:153eaa51f778b60851720729d4f461a91edd9ba3932f6f3bc598d4413870038b", size = 57896337, upload-time = "2025-06-17T23:10:50.179Z" }, { url = "https://files.pythonhosted.org/packages/a4/ee/6899b0aed36a4acc51319465ddd83c7c300a062a9e236cceee00984ffe0b/jaxlib-0.6.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a208ff61c58128d306bb4e5ad0858bd2b0960f2c1c10ad42c548f74a60c0020e", size = 54300346, upload-time = "2025-06-17T23:10:54.591Z" }, { url = "https://files.pythonhosted.org/packages/e6/03/34bb6b346609079a71942cfbf507892e3c877a06a430a0df8429c455cebc/jaxlib-0.6.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:11eae7e05bc5a79875da36324afb9eddd4baeaef2a0386caf6d4f3720b9aef28", size = 79438425, upload-time = "2025-06-17T23:10:58.356Z" }, { url = "https://files.pythonhosted.org/packages/80/02/49b05cbab519ffd3cb79586336451fbbf8b6523f67128a794acc9f179000/jaxlib-0.6.2-cp311-cp311-manylinux2014_x86_64.whl", hash = "sha256:335d7e3515ce78b52a410136f46aa4a7ea14d0e7d640f34e1e137409554ad0ac", size = 89920354, upload-time = "2025-06-17T23:11:03.086Z" }, @@ -1077,6 +1174,12 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/0d/8a/b0a96887b97a25d45ae2c30e4acecd2f95acd074c18ec737dda8c5cc7016/jaxlib-0.6.2-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:87ec2dc9c3ed9ab936eec8535160c5fbd2c849948559f1c5daa75f63fabe5942", size = 79439161, upload-time = "2025-06-17T23:11:14.822Z" }, { url = "https://files.pythonhosted.org/packages/ba/e8/71c2555431edb5dd115cf86a7b599aa7e1be26728d89ae59aa11251d299c/jaxlib-0.6.2-cp312-cp312-manylinux2014_x86_64.whl", hash = "sha256:f1dd09b481a93c1d4c750013f467f74194493ba7bd29fcd4d1cec16e3a214f65", size = 89942952, upload-time = "2025-06-17T23:11:19.181Z" }, { url = "https://files.pythonhosted.org/packages/de/3a/06849113c844b86d20174df54735c84202ccf82cbd36d805f478c834418b/jaxlib-0.6.2-cp312-cp312-win_amd64.whl", hash = "sha256:921dbd4db214eba19a29ba9f2450d880e08b2b2c7b968f28cc89da3e62366af4", size = 57919603, upload-time = "2025-06-17T23:11:23.207Z" }, + { url = "https://files.pythonhosted.org/packages/af/38/bed4279c2a3407820ed8bcd72dbad43c330ada35f88fafe9952b35abf785/jaxlib-0.6.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bff67b188133ce1f0111c7b163ac321fd646b59ed221ea489063e2e0f85cb967", size = 54300638, upload-time = "2025-06-17T23:11:26.372Z" }, + { url = "https://files.pythonhosted.org/packages/52/dc/9e35a1dc089ddf3d6be53ef2e6ba4718c5b6c0f90bccc535a20edac0c895/jaxlib-0.6.2-cp313-cp313-manylinux2014_aarch64.whl", hash = "sha256:70498837caf538bd458ff6858c8bfd404db82015aba8f663670197fa9900ff02", size = 79439983, upload-time = "2025-06-17T23:11:30.016Z" }, + { url = "https://files.pythonhosted.org/packages/34/16/e93f0184b80a4e1ad38c6998aa3a2f7569c0b0152cbae39f7572393eda04/jaxlib-0.6.2-cp313-cp313-manylinux2014_x86_64.whl", hash = "sha256:f94163f14c8fd3ba93ae14b631abacf14cb031bba0b59138869984b4d10375f8", size = 89941720, upload-time = "2025-06-17T23:11:34.62Z" }, + { url = "https://files.pythonhosted.org/packages/06/b9/ea50792ee0333dba764e06c305fe098bce1cb938dcb66fbe2fc47ef5dd02/jaxlib-0.6.2-cp313-cp313-win_amd64.whl", hash = "sha256:b977604cd36c74b174d25ed685017379468138eb747d865f75e466cb273c801d", size = 57919073, upload-time = "2025-06-17T23:11:39.344Z" }, + { url = "https://files.pythonhosted.org/packages/09/ce/9596391c104a0547fcaf6a8c72078bbae79dbc8e7f0843dc8318f6606328/jaxlib-0.6.2-cp313-cp313t-manylinux2014_aarch64.whl", hash = "sha256:39cf9555f85ae1ce2e2c1a59fc71f2eca4f9867a7cb934fef881ba56b11371d1", size = 79579638, upload-time = "2025-06-17T23:11:43.054Z" }, + { url = "https://files.pythonhosted.org/packages/10/79/f6e80f7f4cacfc9f03e64ac57ecb856b140de7c2f939b25f8dcf1aff63f9/jaxlib-0.6.2-cp313-cp313t-manylinux2014_x86_64.whl", hash = "sha256:3abd536e44b05fb1657507e3ff1fc3691f99613bae3921ecab9e82f27255f784", size = 90066675, upload-time = "2025-06-17T23:11:47.454Z" }, ] [[package]] @@ -1086,41 +1189,20 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "jax" }, { name = "jaxlib" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, + { name = "scipy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/f9/af/73f7514ea14d6aba0a851e03afbdd532a7af896577c708c6ce405917ce80/jaxopt-0.8.3.tar.gz", hash = "sha256:4b06dfa6f915a4f3291699606245af6069371a48dc5c92d4c507840d62990646", size = 121236, upload-time = "2024-01-10T12:04:13.487Z" } wheels = [ { url = "https://files.pythonhosted.org/packages/64/a4/fc292a90a9c51d1b633cdffe2df30c702e1e0b3e0b568c7b81004cac0a06/jaxopt-0.8.3-py3-none-any.whl", hash = "sha256:4be2f82798393682529c9ca5046e5397ac6c8657b8acb6bf275e773b28df15b6", size = 172264, upload-time = "2024-01-10T12:04:11.354Z" }, ] -[[package]] -name = "jaxtyping" -version = "0.3.7" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11'", -] -dependencies = [ - { name = "wadler-lindig", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/38/40/a2ea3ce0e3e5f540eb970de7792c90fa58fef1b27d34c83f9fa94fea4729/jaxtyping-0.3.7.tar.gz", hash = "sha256:3bd7d9beb7d3cb01a89f93f90581c6f4fff3e5c5dc3c9307e8f8687a040d10c4", size = 45721, upload-time = "2026-01-30T14:18:47.409Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/78/42/caf65e9a0576a3abadc537e2f831701ba9081f21317fb3be87d64451587a/jaxtyping-0.3.7-py3-none-any.whl", hash = "sha256:303ab8599edf412eeb40bf06c863e3168fa186cf0e7334703fa741ddd7046e66", size = 56101, upload-time = "2026-01-30T14:18:45.954Z" }, -] - [[package]] name = "jaxtyping" version = "0.3.9" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", -] dependencies = [ - { name = "wadler-lindig", marker = "python_full_version >= '3.11'" }, + { name = "wadler-lindig" }, ] sdist = { url = "https://files.pythonhosted.org/packages/c2/be/00294e369938937e31b094437d5ea040e4fd1a20b998ebe572c4a1dcfa68/jaxtyping-0.3.9.tar.gz", hash = "sha256:f8c02d1b623d5f1b6665d4f3ddaec675d70004f16a792102c2fc51264190951d", size = 45857, upload-time = "2026-02-16T10:35:13.263Z" } wheels = [ @@ -1170,59 +1252,108 @@ wheels = [ [[package]] name = "kiwisolver" -version = "1.4.9" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/5c/3c/85844f1b0feb11ee581ac23fe5fce65cd049a200c1446708cc1b7f922875/kiwisolver-1.4.9.tar.gz", hash = "sha256:c3b22c26c6fd6811b0ae8363b95ca8ce4ea3c202d3d0975b2914310ceb1bcc4d", size = 97564, upload-time = "2025-08-10T21:27:49.279Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/c6/5d/8ce64e36d4e3aac5ca96996457dcf33e34e6051492399a3f1fec5657f30b/kiwisolver-1.4.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b4b4d74bda2b8ebf4da5bd42af11d02d04428b2c32846e4c2c93219df8a7987b", size = 124159, upload-time = "2025-08-10T21:25:35.472Z" }, - { url = "https://files.pythonhosted.org/packages/96/1e/22f63ec454874378175a5f435d6ea1363dd33fb2af832c6643e4ccea0dc8/kiwisolver-1.4.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fb3b8132019ea572f4611d770991000d7f58127560c4889729248eb5852a102f", size = 66578, upload-time = "2025-08-10T21:25:36.73Z" }, - { url = "https://files.pythonhosted.org/packages/41/4c/1925dcfff47a02d465121967b95151c82d11027d5ec5242771e580e731bd/kiwisolver-1.4.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:84fd60810829c27ae375114cd379da1fa65e6918e1da405f356a775d49a62bcf", size = 65312, upload-time = "2025-08-10T21:25:37.658Z" }, - { url = "https://files.pythonhosted.org/packages/d4/42/0f333164e6307a0687d1eb9ad256215aae2f4bd5d28f4653d6cd319a3ba3/kiwisolver-1.4.9-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b78efa4c6e804ecdf727e580dbb9cba85624d2e1c6b5cb059c66290063bd99a9", size = 1628458, upload-time = "2025-08-10T21:25:39.067Z" }, - { url = "https://files.pythonhosted.org/packages/86/b6/2dccb977d651943995a90bfe3495c2ab2ba5cd77093d9f2318a20c9a6f59/kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d4efec7bcf21671db6a3294ff301d2fc861c31faa3c8740d1a94689234d1b415", size = 1225640, upload-time = "2025-08-10T21:25:40.489Z" }, - { url = "https://files.pythonhosted.org/packages/50/2b/362ebd3eec46c850ccf2bfe3e30f2fc4c008750011f38a850f088c56a1c6/kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:90f47e70293fc3688b71271100a1a5453aa9944a81d27ff779c108372cf5567b", size = 1244074, upload-time = "2025-08-10T21:25:42.221Z" }, - { url = "https://files.pythonhosted.org/packages/6f/bb/f09a1e66dab8984773d13184a10a29fe67125337649d26bdef547024ed6b/kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:8fdca1def57a2e88ef339de1737a1449d6dbf5fab184c54a1fca01d541317154", size = 1293036, upload-time = "2025-08-10T21:25:43.801Z" }, - { url = "https://files.pythonhosted.org/packages/ea/01/11ecf892f201cafda0f68fa59212edaea93e96c37884b747c181303fccd1/kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:9cf554f21be770f5111a1690d42313e140355e687e05cf82cb23d0a721a64a48", size = 2175310, upload-time = "2025-08-10T21:25:45.045Z" }, - { url = "https://files.pythonhosted.org/packages/7f/5f/bfe11d5b934f500cc004314819ea92427e6e5462706a498c1d4fc052e08f/kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:fc1795ac5cd0510207482c3d1d3ed781143383b8cfd36f5c645f3897ce066220", size = 2270943, upload-time = "2025-08-10T21:25:46.393Z" }, - { url = "https://files.pythonhosted.org/packages/3d/de/259f786bf71f1e03e73d87e2db1a9a3bcab64d7b4fd780167123161630ad/kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:ccd09f20ccdbbd341b21a67ab50a119b64a403b09288c27481575105283c1586", size = 2440488, upload-time = "2025-08-10T21:25:48.074Z" }, - { url = "https://files.pythonhosted.org/packages/1b/76/c989c278faf037c4d3421ec07a5c452cd3e09545d6dae7f87c15f54e4edf/kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:540c7c72324d864406a009d72f5d6856f49693db95d1fbb46cf86febef873634", size = 2246787, upload-time = "2025-08-10T21:25:49.442Z" }, - { url = "https://files.pythonhosted.org/packages/a2/55/c2898d84ca440852e560ca9f2a0d28e6e931ac0849b896d77231929900e7/kiwisolver-1.4.9-cp310-cp310-win_amd64.whl", hash = "sha256:ede8c6d533bc6601a47ad4046080d36b8fc99f81e6f1c17b0ac3c2dc91ac7611", size = 73730, upload-time = "2025-08-10T21:25:51.102Z" }, - { url = "https://files.pythonhosted.org/packages/e8/09/486d6ac523dd33b80b368247f238125d027964cfacb45c654841e88fb2ae/kiwisolver-1.4.9-cp310-cp310-win_arm64.whl", hash = "sha256:7b4da0d01ac866a57dd61ac258c5607b4cd677f63abaec7b148354d2b2cdd536", size = 65036, upload-time = "2025-08-10T21:25:52.063Z" }, - { url = "https://files.pythonhosted.org/packages/6f/ab/c80b0d5a9d8a1a65f4f815f2afff9798b12c3b9f31f1d304dd233dd920e2/kiwisolver-1.4.9-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:eb14a5da6dc7642b0f3a18f13654847cd8b7a2550e2645a5bda677862b03ba16", size = 124167, upload-time = "2025-08-10T21:25:53.403Z" }, - { url = "https://files.pythonhosted.org/packages/a0/c0/27fe1a68a39cf62472a300e2879ffc13c0538546c359b86f149cc19f6ac3/kiwisolver-1.4.9-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:39a219e1c81ae3b103643d2aedb90f1ef22650deb266ff12a19e7773f3e5f089", size = 66579, upload-time = "2025-08-10T21:25:54.79Z" }, - { url = "https://files.pythonhosted.org/packages/31/a2/a12a503ac1fd4943c50f9822678e8015a790a13b5490354c68afb8489814/kiwisolver-1.4.9-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2405a7d98604b87f3fc28b1716783534b1b4b8510d8142adca34ee0bc3c87543", size = 65309, upload-time = "2025-08-10T21:25:55.76Z" }, - { url = "https://files.pythonhosted.org/packages/66/e1/e533435c0be77c3f64040d68d7a657771194a63c279f55573188161e81ca/kiwisolver-1.4.9-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:dc1ae486f9abcef254b5618dfb4113dd49f94c68e3e027d03cf0143f3f772b61", size = 1435596, upload-time = "2025-08-10T21:25:56.861Z" }, - { url = "https://files.pythonhosted.org/packages/67/1e/51b73c7347f9aabdc7215aa79e8b15299097dc2f8e67dee2b095faca9cb0/kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a1f570ce4d62d718dce3f179ee78dac3b545ac16c0c04bb363b7607a949c0d1", size = 1246548, upload-time = "2025-08-10T21:25:58.246Z" }, - { url = "https://files.pythonhosted.org/packages/21/aa/72a1c5d1e430294f2d32adb9542719cfb441b5da368d09d268c7757af46c/kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:cb27e7b78d716c591e88e0a09a2139c6577865d7f2e152488c2cc6257f460872", size = 1263618, upload-time = "2025-08-10T21:25:59.857Z" }, - { url = "https://files.pythonhosted.org/packages/a3/af/db1509a9e79dbf4c260ce0cfa3903ea8945f6240e9e59d1e4deb731b1a40/kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:15163165efc2f627eb9687ea5f3a28137217d217ac4024893d753f46bce9de26", size = 1317437, upload-time = "2025-08-10T21:26:01.105Z" }, - { url = "https://files.pythonhosted.org/packages/e0/f2/3ea5ee5d52abacdd12013a94130436e19969fa183faa1e7c7fbc89e9a42f/kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bdee92c56a71d2b24c33a7d4c2856bd6419d017e08caa7802d2963870e315028", size = 2195742, upload-time = "2025-08-10T21:26:02.675Z" }, - { url = "https://files.pythonhosted.org/packages/6f/9b/1efdd3013c2d9a2566aa6a337e9923a00590c516add9a1e89a768a3eb2fc/kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:412f287c55a6f54b0650bd9b6dce5aceddb95864a1a90c87af16979d37c89771", size = 2290810, upload-time = "2025-08-10T21:26:04.009Z" }, - { url = "https://files.pythonhosted.org/packages/fb/e5/cfdc36109ae4e67361f9bc5b41323648cb24a01b9ade18784657e022e65f/kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:2c93f00dcba2eea70af2be5f11a830a742fe6b579a1d4e00f47760ef13be247a", size = 2461579, upload-time = "2025-08-10T21:26:05.317Z" }, - { url = "https://files.pythonhosted.org/packages/62/86/b589e5e86c7610842213994cdea5add00960076bef4ae290c5fa68589cac/kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f117e1a089d9411663a3207ba874f31be9ac8eaa5b533787024dc07aeb74f464", size = 2268071, upload-time = "2025-08-10T21:26:06.686Z" }, - { url = "https://files.pythonhosted.org/packages/3b/c6/f8df8509fd1eee6c622febe54384a96cfaf4d43bf2ccec7a0cc17e4715c9/kiwisolver-1.4.9-cp311-cp311-win_amd64.whl", hash = "sha256:be6a04e6c79819c9a8c2373317d19a96048e5a3f90bec587787e86a1153883c2", size = 73840, upload-time = "2025-08-10T21:26:07.94Z" }, - { url = "https://files.pythonhosted.org/packages/e2/2d/16e0581daafd147bc11ac53f032a2b45eabac897f42a338d0a13c1e5c436/kiwisolver-1.4.9-cp311-cp311-win_arm64.whl", hash = "sha256:0ae37737256ba2de764ddc12aed4956460277f00c4996d51a197e72f62f5eec7", size = 65159, upload-time = "2025-08-10T21:26:09.048Z" }, - { url = "https://files.pythonhosted.org/packages/86/c9/13573a747838aeb1c76e3267620daa054f4152444d1f3d1a2324b78255b5/kiwisolver-1.4.9-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:ac5a486ac389dddcc5bef4f365b6ae3ffff2c433324fb38dd35e3fab7c957999", size = 123686, upload-time = "2025-08-10T21:26:10.034Z" }, - { url = "https://files.pythonhosted.org/packages/51/ea/2ecf727927f103ffd1739271ca19c424d0e65ea473fbaeea1c014aea93f6/kiwisolver-1.4.9-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f2ba92255faa7309d06fe44c3a4a97efe1c8d640c2a79a5ef728b685762a6fd2", size = 66460, upload-time = "2025-08-10T21:26:11.083Z" }, - { url = "https://files.pythonhosted.org/packages/5b/5a/51f5464373ce2aeb5194508298a508b6f21d3867f499556263c64c621914/kiwisolver-1.4.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a2899935e724dd1074cb568ce7ac0dce28b2cd6ab539c8e001a8578eb106d14", size = 64952, upload-time = "2025-08-10T21:26:12.058Z" }, - { url = "https://files.pythonhosted.org/packages/70/90/6d240beb0f24b74371762873e9b7f499f1e02166a2d9c5801f4dbf8fa12e/kiwisolver-1.4.9-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f6008a4919fdbc0b0097089f67a1eb55d950ed7e90ce2cc3e640abadd2757a04", size = 1474756, upload-time = "2025-08-10T21:26:13.096Z" }, - { url = "https://files.pythonhosted.org/packages/12/42/f36816eaf465220f683fb711efdd1bbf7a7005a2473d0e4ed421389bd26c/kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:67bb8b474b4181770f926f7b7d2f8c0248cbcb78b660fdd41a47054b28d2a752", size = 1276404, upload-time = "2025-08-10T21:26:14.457Z" }, - { url = "https://files.pythonhosted.org/packages/2e/64/bc2de94800adc830c476dce44e9b40fd0809cddeef1fde9fcf0f73da301f/kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:2327a4a30d3ee07d2fbe2e7933e8a37c591663b96ce42a00bc67461a87d7df77", size = 1294410, upload-time = "2025-08-10T21:26:15.73Z" }, - { url = "https://files.pythonhosted.org/packages/5f/42/2dc82330a70aa8e55b6d395b11018045e58d0bb00834502bf11509f79091/kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:7a08b491ec91b1d5053ac177afe5290adacf1f0f6307d771ccac5de30592d198", size = 1343631, upload-time = "2025-08-10T21:26:17.045Z" }, - { url = "https://files.pythonhosted.org/packages/22/fd/f4c67a6ed1aab149ec5a8a401c323cee7a1cbe364381bb6c9c0d564e0e20/kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d8fc5c867c22b828001b6a38d2eaeb88160bf5783c6cb4a5e440efc981ce286d", size = 2224963, upload-time = "2025-08-10T21:26:18.737Z" }, - { url = "https://files.pythonhosted.org/packages/45/aa/76720bd4cb3713314677d9ec94dcc21ced3f1baf4830adde5bb9b2430a5f/kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:3b3115b2581ea35bb6d1f24a4c90af37e5d9b49dcff267eeed14c3893c5b86ab", size = 2321295, upload-time = "2025-08-10T21:26:20.11Z" }, - { url = "https://files.pythonhosted.org/packages/80/19/d3ec0d9ab711242f56ae0dc2fc5d70e298bb4a1f9dfab44c027668c673a1/kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:858e4c22fb075920b96a291928cb7dea5644e94c0ee4fcd5af7e865655e4ccf2", size = 2487987, upload-time = "2025-08-10T21:26:21.49Z" }, - { url = "https://files.pythonhosted.org/packages/39/e9/61e4813b2c97e86b6fdbd4dd824bf72d28bcd8d4849b8084a357bc0dd64d/kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ed0fecd28cc62c54b262e3736f8bb2512d8dcfdc2bcf08be5f47f96bf405b145", size = 2291817, upload-time = "2025-08-10T21:26:22.812Z" }, - { url = "https://files.pythonhosted.org/packages/a0/41/85d82b0291db7504da3c2defe35c9a8a5c9803a730f297bd823d11d5fb77/kiwisolver-1.4.9-cp312-cp312-win_amd64.whl", hash = "sha256:f68208a520c3d86ea51acf688a3e3002615a7f0238002cccc17affecc86a8a54", size = 73895, upload-time = "2025-08-10T21:26:24.37Z" }, - { url = "https://files.pythonhosted.org/packages/e2/92/5f3068cf15ee5cb624a0c7596e67e2a0bb2adee33f71c379054a491d07da/kiwisolver-1.4.9-cp312-cp312-win_arm64.whl", hash = "sha256:2c1a4f57df73965f3f14df20b80ee29e6a7930a57d2d9e8491a25f676e197c60", size = 64992, upload-time = "2025-08-10T21:26:25.732Z" }, - { url = "https://files.pythonhosted.org/packages/a2/63/fde392691690f55b38d5dd7b3710f5353bf7a8e52de93a22968801ab8978/kiwisolver-1.4.9-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:4d1d9e582ad4d63062d34077a9a1e9f3c34088a2ec5135b1f7190c07cf366527", size = 60183, upload-time = "2025-08-10T21:27:37.669Z" }, - { url = "https://files.pythonhosted.org/packages/27/b1/6aad34edfdb7cced27f371866f211332bba215bfd918ad3322a58f480d8b/kiwisolver-1.4.9-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:deed0c7258ceb4c44ad5ec7d9918f9f14fd05b2be86378d86cf50e63d1e7b771", size = 58675, upload-time = "2025-08-10T21:27:39.031Z" }, - { url = "https://files.pythonhosted.org/packages/9d/1a/23d855a702bb35a76faed5ae2ba3de57d323f48b1f6b17ee2176c4849463/kiwisolver-1.4.9-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0a590506f303f512dff6b7f75fd2fd18e16943efee932008fe7140e5fa91d80e", size = 80277, upload-time = "2025-08-10T21:27:40.129Z" }, - { url = "https://files.pythonhosted.org/packages/5a/5b/5239e3c2b8fb5afa1e8508f721bb77325f740ab6994d963e61b2b7abcc1e/kiwisolver-1.4.9-pp310-pypy310_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e09c2279a4d01f099f52d5c4b3d9e208e91edcbd1a175c9662a8b16e000fece9", size = 77994, upload-time = "2025-08-10T21:27:41.181Z" }, - { url = "https://files.pythonhosted.org/packages/f9/1c/5d4d468fb16f8410e596ed0eac02d2c68752aa7dc92997fe9d60a7147665/kiwisolver-1.4.9-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:c9e7cdf45d594ee04d5be1b24dd9d49f3d1590959b2271fb30b5ca2b262c00fb", size = 73744, upload-time = "2025-08-10T21:27:42.254Z" }, - { url = "https://files.pythonhosted.org/packages/a3/0f/36d89194b5a32c054ce93e586d4049b6c2c22887b0eb229c61c68afd3078/kiwisolver-1.4.9-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:720e05574713db64c356e86732c0f3c5252818d05f9df320f0ad8380641acea5", size = 60104, upload-time = "2025-08-10T21:27:43.287Z" }, - { url = "https://files.pythonhosted.org/packages/52/ba/4ed75f59e4658fd21fe7dde1fee0ac397c678ec3befba3fe6482d987af87/kiwisolver-1.4.9-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:17680d737d5335b552994a2008fab4c851bcd7de33094a82067ef3a576ff02fa", size = 58592, upload-time = "2025-08-10T21:27:44.314Z" }, - { url = "https://files.pythonhosted.org/packages/33/01/a8ea7c5ea32a9b45ceeaee051a04c8ed4320f5add3c51bfa20879b765b70/kiwisolver-1.4.9-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:85b5352f94e490c028926ea567fc569c52ec79ce131dadb968d3853e809518c2", size = 80281, upload-time = "2025-08-10T21:27:45.369Z" }, - { url = "https://files.pythonhosted.org/packages/da/e3/dbd2ecdce306f1d07a1aaf324817ee993aab7aee9db47ceac757deabafbe/kiwisolver-1.4.9-pp311-pypy311_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:464415881e4801295659462c49461a24fb107c140de781d55518c4b80cb6790f", size = 78009, upload-time = "2025-08-10T21:27:46.376Z" }, - { url = "https://files.pythonhosted.org/packages/da/e9/0d4add7873a73e462aeb45c036a2dead2562b825aa46ba326727b3f31016/kiwisolver-1.4.9-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:fb940820c63a9590d31d88b815e7a3aa5915cad3ce735ab45f0c730b39547de1", size = 73929, upload-time = "2025-08-10T21:27:48.236Z" }, +version = "1.5.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d0/67/9c61eccb13f0bdca9307614e782fec49ffdde0f7a2314935d489fa93cd9c/kiwisolver-1.5.0.tar.gz", hash = "sha256:d4193f3d9dc3f6f79aaed0e5637f45d98850ebf01f7ca20e69457f3e8946b66a", size = 103482, upload-time = "2026-03-09T13:15:53.382Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/12/dd/a495a9c104be1c476f0386e714252caf2b7eca883915422a64c50b88c6f5/kiwisolver-1.5.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9eed0f7edbb274413b6ee781cca50541c8c0facd3d6fd289779e494340a2b85c", size = 122798, upload-time = "2026-03-09T13:12:58.963Z" }, + { url = "https://files.pythonhosted.org/packages/11/60/37b4047a2af0cf5ef6d8b4b26e91829ae6fc6a2d1f74524bcb0e7cd28a32/kiwisolver-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3c4923e404d6bcd91b6779c009542e5647fef32e4a5d75e115e3bbac6f2335eb", size = 66216, upload-time = "2026-03-09T13:13:00.155Z" }, + { url = "https://files.pythonhosted.org/packages/0a/aa/510dc933d87767584abfe03efa445889996c70c2990f6f87c3ebaa0a18c5/kiwisolver-1.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0df54df7e686afa55e6f21fb86195224a6d9beb71d637e8d7920c95cf0f89aac", size = 63911, upload-time = "2026-03-09T13:13:01.671Z" }, + { url = "https://files.pythonhosted.org/packages/80/46/bddc13df6c2a40741e0cc7865bb1c9ed4796b6760bd04ce5fae3928ef917/kiwisolver-1.5.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:2517e24d7315eb51c10664cdb865195df38ab74456c677df67bb47f12d088a27", size = 1438209, upload-time = "2026-03-09T13:13:03.385Z" }, + { url = "https://files.pythonhosted.org/packages/fd/d6/76621246f5165e5372f02f5e6f3f48ea336a8f9e96e43997d45b240ed8cd/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ff710414307fefa903e0d9bdf300972f892c23477829f49504e59834f4195398", size = 1248888, upload-time = "2026-03-09T13:13:05.231Z" }, + { url = "https://files.pythonhosted.org/packages/b2/c1/31559ec6fb39a5b48035ce29bb63ade628f321785f38c384dee3e2c08bc1/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:6176c1811d9d5a04fa391c490cc44f451e240697a16977f11c6f722efb9041db", size = 1266304, upload-time = "2026-03-09T13:13:06.743Z" }, + { url = "https://files.pythonhosted.org/packages/5e/ef/1cb8276f2d29cc6a41e0a042f27946ca347d3a4a75acf85d0a16aa6dcc82/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:50847dca5d197fcbd389c805aa1a1cf32f25d2e7273dc47ab181a517666b68cc", size = 1319650, upload-time = "2026-03-09T13:13:08.607Z" }, + { url = "https://files.pythonhosted.org/packages/4c/e4/5ba3cecd7ce6236ae4a80f67e5d5531287337d0e1f076ca87a5abe4cd5d0/kiwisolver-1.5.0-cp311-cp311-manylinux_2_39_riscv64.whl", hash = "sha256:01808c6d15f4c3e8559595d6d1fe6411c68e4a3822b4b9972b44473b24f4e679", size = 970949, upload-time = "2026-03-09T13:13:10.299Z" }, + { url = "https://files.pythonhosted.org/packages/5a/69/dc61f7ae9a2f071f26004ced87f078235b5507ab6e5acd78f40365655034/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:f1f9f4121ec58628c96baa3de1a55a4e3a333c5102c8e94b64e23bf7b2083309", size = 2199125, upload-time = "2026-03-09T13:13:11.841Z" }, + { url = "https://files.pythonhosted.org/packages/e5/7b/abbe0f1b5afa85f8d084b73e90e5f801c0939eba16ac2e49af7c61a6c28d/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:b7d335370ae48a780c6e6a6bbfa97342f563744c39c35562f3f367665f5c1de2", size = 2293783, upload-time = "2026-03-09T13:13:14.399Z" }, + { url = "https://files.pythonhosted.org/packages/8a/80/5908ae149d96d81580d604c7f8aefd0e98f4fd728cf172f477e9f2a81744/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:800ee55980c18545af444d93fdd60c56b580db5cc54867d8cbf8a1dc0829938c", size = 1960726, upload-time = "2026-03-09T13:13:16.047Z" }, + { url = "https://files.pythonhosted.org/packages/84/08/a78cb776f8c085b7143142ce479859cfec086bd09ee638a317040b6ef420/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:c438f6ca858697c9ab67eb28246c92508af972e114cac34e57a6d4ba17a3ac08", size = 2464738, upload-time = "2026-03-09T13:13:17.897Z" }, + { url = "https://files.pythonhosted.org/packages/b1/e1/65584da5356ed6cb12c63791a10b208860ac40a83de165cb6a6751a686e3/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:8c63c91f95173f9c2a67c7c526b2cea976828a0e7fced9cdcead2802dc10f8a4", size = 2270718, upload-time = "2026-03-09T13:13:19.421Z" }, + { url = "https://files.pythonhosted.org/packages/be/6c/28f17390b62b8f2f520e2915095b3c94d88681ecf0041e75389d9667f202/kiwisolver-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:beb7f344487cdcb9e1efe4b7a29681b74d34c08f0043a327a74da852a6749e7b", size = 73480, upload-time = "2026-03-09T13:13:20.818Z" }, + { url = "https://files.pythonhosted.org/packages/d8/0e/2ee5debc4f77a625778fec5501ff3e8036fe361b7ee28ae402a485bb9694/kiwisolver-1.5.0-cp311-cp311-win_arm64.whl", hash = "sha256:ad4ae4ffd1ee9cd11357b4c66b612da9888f4f4daf2f36995eda64bd45370cac", size = 64930, upload-time = "2026-03-09T13:13:21.997Z" }, + { url = "https://files.pythonhosted.org/packages/4d/b2/818b74ebea34dabe6d0c51cb1c572e046730e64844da6ed646d5298c40ce/kiwisolver-1.5.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:4e9750bc21b886308024f8a54ccb9a2cc38ac9fa813bf4348434e3d54f337ff9", size = 123158, upload-time = "2026-03-09T13:13:23.127Z" }, + { url = "https://files.pythonhosted.org/packages/bf/d9/405320f8077e8e1c5c4bd6adc45e1e6edf6d727b6da7f2e2533cf58bff71/kiwisolver-1.5.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:72ec46b7eba5b395e0a7b63025490d3214c11013f4aacb4f5e8d6c3041829588", size = 66388, upload-time = "2026-03-09T13:13:24.765Z" }, + { url = "https://files.pythonhosted.org/packages/99/9f/795fedf35634f746151ca8839d05681ceb6287fbed6cc1c9bf235f7887c2/kiwisolver-1.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ed3a984b31da7481b103f68776f7128a89ef26ed40f4dc41a2223cda7fb24819", size = 64068, upload-time = "2026-03-09T13:13:25.878Z" }, + { url = "https://files.pythonhosted.org/packages/c4/13/680c54afe3e65767bed7ec1a15571e1a2f1257128733851ade24abcefbcc/kiwisolver-1.5.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bb5136fb5352d3f422df33f0c879a1b0c204004324150cc3b5e3c4f310c9049f", size = 1477934, upload-time = "2026-03-09T13:13:27.166Z" }, + { url = "https://files.pythonhosted.org/packages/c8/2f/cebfcdb60fd6a9b0f6b47a9337198bcbad6fbe15e68189b7011fd914911f/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b2af221f268f5af85e776a73d62b0845fc8baf8ef0abfae79d29c77d0e776aaf", size = 1278537, upload-time = "2026-03-09T13:13:28.707Z" }, + { url = "https://files.pythonhosted.org/packages/f2/0d/9b782923aada3fafb1d6b84e13121954515c669b18af0c26e7d21f579855/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b0f172dc8ffaccb8522d7c5d899de00133f2f1ca7b0a49b7da98e901de87bf2d", size = 1296685, upload-time = "2026-03-09T13:13:30.528Z" }, + { url = "https://files.pythonhosted.org/packages/27/70/83241b6634b04fe44e892688d5208332bde130f38e610c0418f9ede47ded/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6ab8ba9152203feec73758dad83af9a0bbe05001eb4639e547207c40cfb52083", size = 1346024, upload-time = "2026-03-09T13:13:32.818Z" }, + { url = "https://files.pythonhosted.org/packages/e4/db/30ed226fb271ae1a6431fc0fe0edffb2efe23cadb01e798caeb9f2ceae8f/kiwisolver-1.5.0-cp312-cp312-manylinux_2_39_riscv64.whl", hash = "sha256:cdee07c4d7f6d72008d3f73b9bf027f4e11550224c7c50d8df1ae4a37c1402a6", size = 987241, upload-time = "2026-03-09T13:13:34.435Z" }, + { url = "https://files.pythonhosted.org/packages/ec/bd/c314595208e4c9587652d50959ead9e461995389664e490f4dce7ff0f782/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:7c60d3c9b06fb23bd9c6139281ccbdc384297579ae037f08ae90c69f6845c0b1", size = 2227742, upload-time = "2026-03-09T13:13:36.4Z" }, + { url = "https://files.pythonhosted.org/packages/c1/43/0499cec932d935229b5543d073c2b87c9c22846aab48881e9d8d6e742a2d/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:e315e5ec90d88e140f57696ff85b484ff68bb311e36f2c414aa4286293e6dee0", size = 2323966, upload-time = "2026-03-09T13:13:38.204Z" }, + { url = "https://files.pythonhosted.org/packages/3d/6f/79b0d760907965acfd9d61826a3d41f8f093c538f55cd2633d3f0db269f6/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:1465387ac63576c3e125e5337a6892b9e99e0627d52317f3ca79e6930d889d15", size = 1977417, upload-time = "2026-03-09T13:13:39.966Z" }, + { url = "https://files.pythonhosted.org/packages/ab/31/01d0537c41cb75a551a438c3c7a80d0c60d60b81f694dac83dd436aec0d0/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:530a3fd64c87cffa844d4b6b9768774763d9caa299e9b75d8eca6a4423b31314", size = 2491238, upload-time = "2026-03-09T13:13:41.698Z" }, + { url = "https://files.pythonhosted.org/packages/e4/34/8aefdd0be9cfd00a44509251ba864f5caf2991e36772e61c408007e7f417/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1d9daea4ea6b9be74fe2f01f7fbade8d6ffab263e781274cffca0dba9be9eec9", size = 2294947, upload-time = "2026-03-09T13:13:43.343Z" }, + { url = "https://files.pythonhosted.org/packages/ad/cf/0348374369ca588f8fe9c338fae49fa4e16eeb10ffb3d012f23a54578a9e/kiwisolver-1.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:f18c2d9782259a6dc132fdc7a63c168cbc74b35284b6d75c673958982a378384", size = 73569, upload-time = "2026-03-09T13:13:45.792Z" }, + { url = "https://files.pythonhosted.org/packages/28/26/192b26196e2316e2bd29deef67e37cdf9870d9af8e085e521afff0fed526/kiwisolver-1.5.0-cp312-cp312-win_arm64.whl", hash = "sha256:f7c7553b13f69c1b29a5bde08ddc6d9d0c8bfb84f9ed01c30db25944aeb852a7", size = 64997, upload-time = "2026-03-09T13:13:46.878Z" }, + { url = "https://files.pythonhosted.org/packages/9d/69/024d6711d5ba575aa65d5538042e99964104e97fa153a9f10bc369182bc2/kiwisolver-1.5.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:fd40bb9cd0891c4c3cb1ddf83f8bbfa15731a248fdc8162669405451e2724b09", size = 123166, upload-time = "2026-03-09T13:13:48.032Z" }, + { url = "https://files.pythonhosted.org/packages/ce/48/adbb40df306f587054a348831220812b9b1d787aff714cfbc8556e38fccd/kiwisolver-1.5.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c0e1403fd7c26d77c1f03e096dc58a5c726503fa0db0456678b8668f76f521e3", size = 66395, upload-time = "2026-03-09T13:13:49.365Z" }, + { url = "https://files.pythonhosted.org/packages/a8/3a/d0a972b34e1c63e2409413104216cd1caa02c5a37cb668d1687d466c1c45/kiwisolver-1.5.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:dda366d548e89a90d88a86c692377d18d8bd64b39c1fb2b92cb31370e2896bbd", size = 64065, upload-time = "2026-03-09T13:13:50.562Z" }, + { url = "https://files.pythonhosted.org/packages/2b/0a/7b98e1e119878a27ba8618ca1e18b14f992ff1eda40f47bccccf4de44121/kiwisolver-1.5.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:332b4f0145c30b5f5ad9374881133e5aa64320428a57c2c2b61e9d891a51c2f3", size = 1477903, upload-time = "2026-03-09T13:13:52.084Z" }, + { url = "https://files.pythonhosted.org/packages/18/d8/55638d89ffd27799d5cc3d8aa28e12f4ce7a64d67b285114dbedc8ea4136/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0c50b89ffd3e1a911c69a1dd3de7173c0cd10b130f56222e57898683841e4f96", size = 1278751, upload-time = "2026-03-09T13:13:54.673Z" }, + { url = "https://files.pythonhosted.org/packages/b8/97/b4c8d0d18421ecceba20ad8701358453b88e32414e6f6950b5a4bad54e65/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:4db576bb8c3ef9365f8b40fe0f671644de6736ae2c27a2c62d7d8a1b4329f099", size = 1296793, upload-time = "2026-03-09T13:13:56.287Z" }, + { url = "https://files.pythonhosted.org/packages/c4/10/f862f94b6389d8957448ec9df59450b81bec4abb318805375c401a1e6892/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0b85aad90cea8ac6797a53b5d5f2e967334fa4d1149f031c4537569972596cb8", size = 1346041, upload-time = "2026-03-09T13:13:58.269Z" }, + { url = "https://files.pythonhosted.org/packages/a3/6a/f1650af35821eaf09de398ec0bc2aefc8f211f0cda50204c9f1673741ba9/kiwisolver-1.5.0-cp313-cp313-manylinux_2_39_riscv64.whl", hash = "sha256:d36ca54cb4c6c4686f7cbb7b817f66f5911c12ddb519450bbe86707155028f87", size = 987292, upload-time = "2026-03-09T13:13:59.871Z" }, + { url = "https://files.pythonhosted.org/packages/de/19/d7fb82984b9238115fe629c915007be608ebd23dc8629703d917dbfaffd4/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:38f4a703656f493b0ad185211ccfca7f0386120f022066b018eb5296d8613e23", size = 2227865, upload-time = "2026-03-09T13:14:01.401Z" }, + { url = "https://files.pythonhosted.org/packages/7f/b9/46b7f386589fd222dac9e9de9c956ce5bcefe2ee73b4e79891381dda8654/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:3ac2360e93cb41be81121755c6462cff3beaa9967188c866e5fce5cf13170859", size = 2324369, upload-time = "2026-03-09T13:14:02.972Z" }, + { url = "https://files.pythonhosted.org/packages/92/8b/95e237cf3d9c642960153c769ddcbe278f182c8affb20cecc1cc983e7cc5/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:c95cab08d1965db3d84a121f1c7ce7479bdd4072c9b3dafd8fecce48a2e6b902", size = 1977989, upload-time = "2026-03-09T13:14:04.503Z" }, + { url = "https://files.pythonhosted.org/packages/1b/95/980c9df53501892784997820136c01f62bc1865e31b82b9560f980c0e649/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:fc20894c3d21194d8041a28b65622d5b86db786da6e3cfe73f0c762951a61167", size = 2491645, upload-time = "2026-03-09T13:14:06.106Z" }, + { url = "https://files.pythonhosted.org/packages/cb/32/900647fd0840abebe1561792c6b31e6a7c0e278fc3973d30572a965ca14c/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7a32f72973f0f950c1920475d5c5ea3d971b81b6f0ec53b8d0a956cc965f22e0", size = 2295237, upload-time = "2026-03-09T13:14:08.891Z" }, + { url = "https://files.pythonhosted.org/packages/be/8a/be60e3bbcf513cc5a50f4a3e88e1dcecebb79c1ad607a7222877becaa101/kiwisolver-1.5.0-cp313-cp313-win_amd64.whl", hash = "sha256:0bf3acf1419fa93064a4c2189ac0b58e3be7872bf6ee6177b0d4c63dc4cea276", size = 73573, upload-time = "2026-03-09T13:14:12.327Z" }, + { url = "https://files.pythonhosted.org/packages/4d/d2/64be2e429eb4fca7f7e1c52a91b12663aeaf25de3895e5cca0f47ef2a8d0/kiwisolver-1.5.0-cp313-cp313-win_arm64.whl", hash = "sha256:fa8eb9ecdb7efb0b226acec134e0d709e87a909fa4971a54c0c4f6e88635484c", size = 64998, upload-time = "2026-03-09T13:14:13.469Z" }, + { url = "https://files.pythonhosted.org/packages/b0/69/ce68dd0c85755ae2de490bf015b62f2cea5f6b14ff00a463f9d0774449ff/kiwisolver-1.5.0-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:db485b3847d182b908b483b2ed133c66d88d49cacf98fd278fadafe11b4478d1", size = 125700, upload-time = "2026-03-09T13:14:14.636Z" }, + { url = "https://files.pythonhosted.org/packages/74/aa/937aac021cf9d4349990d47eb319309a51355ed1dbdc9c077cdc9224cb11/kiwisolver-1.5.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:be12f931839a3bdfe28b584db0e640a65a8bcbc24560ae3fdb025a449b3d754e", size = 67537, upload-time = "2026-03-09T13:14:15.808Z" }, + { url = "https://files.pythonhosted.org/packages/ee/20/3a87fbece2c40ad0f6f0aefa93542559159c5f99831d596050e8afae7a9f/kiwisolver-1.5.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:16b85d37c2cbb3253226d26e64663f755d88a03439a9c47df6246b35defbdfb7", size = 65514, upload-time = "2026-03-09T13:14:18.035Z" }, + { url = "https://files.pythonhosted.org/packages/f0/7f/f943879cda9007c45e1f7dba216d705c3a18d6b35830e488b6c6a4e7cdf0/kiwisolver-1.5.0-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4432b835675f0ea7414aab3d37d119f7226d24869b7a829caeab49ebda407b0c", size = 1584848, upload-time = "2026-03-09T13:14:19.745Z" }, + { url = "https://files.pythonhosted.org/packages/37/f8/4d4f85cc1870c127c88d950913370dd76138482161cd07eabbc450deff01/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1b0feb50971481a2cc44d94e88bdb02cdd497618252ae226b8eb1201b957e368", size = 1391542, upload-time = "2026-03-09T13:14:21.54Z" }, + { url = "https://files.pythonhosted.org/packages/04/0b/65dd2916c84d252b244bd405303220f729e7c17c9d7d33dca6feeff9ffc4/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:56fa888f10d0f367155e76ce849fa1166fc9730d13bd2d65a2aa13b6f5424489", size = 1404447, upload-time = "2026-03-09T13:14:23.205Z" }, + { url = "https://files.pythonhosted.org/packages/39/5c/2606a373247babce9b1d056c03a04b65f3cf5290a8eac5d7bdead0a17e21/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:940dda65d5e764406b9fb92761cbf462e4e63f712ab60ed98f70552e496f3bf1", size = 1455918, upload-time = "2026-03-09T13:14:24.74Z" }, + { url = "https://files.pythonhosted.org/packages/d5/d1/c6078b5756670658e9192a2ef11e939c92918833d2745f85cd14a6004bdf/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_39_riscv64.whl", hash = "sha256:89fc958c702ee9a745e4700378f5d23fddbc46ff89e8fdbf5395c24d5c1452a3", size = 1072856, upload-time = "2026-03-09T13:14:26.597Z" }, + { url = "https://files.pythonhosted.org/packages/cb/c8/7def6ddf16eb2b3741d8b172bdaa9af882b03c78e9b0772975408801fa63/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9027d773c4ff81487181a925945743413f6069634d0b122d0b37684ccf4f1e18", size = 2333580, upload-time = "2026-03-09T13:14:28.237Z" }, + { url = "https://files.pythonhosted.org/packages/9e/87/2ac1fce0eb1e616fcd3c35caa23e665e9b1948bb984f4764790924594128/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:5b233ea3e165e43e35dba1d2b8ecc21cf070b45b65ae17dd2747d2713d942021", size = 2423018, upload-time = "2026-03-09T13:14:30.018Z" }, + { url = "https://files.pythonhosted.org/packages/67/13/c6700ccc6cc218716bfcda4935e4b2997039869b4ad8a94f364c5a3b8e63/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:ce9bf03dad3b46408c08649c6fbd6ca28a9fce0eb32fdfffa6775a13103b5310", size = 2062804, upload-time = "2026-03-09T13:14:32.888Z" }, + { url = "https://files.pythonhosted.org/packages/1b/bd/877056304626943ff0f1f44c08f584300c199b887cb3176cd7e34f1515f1/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:fc4d3f1fb9ca0ae9f97b095963bc6326f1dbfd3779d6679a1e016b9baaa153d3", size = 2597482, upload-time = "2026-03-09T13:14:34.971Z" }, + { url = "https://files.pythonhosted.org/packages/75/19/c60626c47bf0f8ac5dcf72c6c98e266d714f2fbbfd50cf6dab5ede3aaa50/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:f443b4825c50a51ee68585522ab4a1d1257fac65896f282b4c6763337ac9f5d2", size = 2394328, upload-time = "2026-03-09T13:14:36.816Z" }, + { url = "https://files.pythonhosted.org/packages/47/84/6a6d5e5bb8273756c27b7d810d47f7ef2f1f9b9fd23c9ee9a3f8c75c9cef/kiwisolver-1.5.0-cp313-cp313t-win_arm64.whl", hash = "sha256:893ff3a711d1b515ba9da14ee090519bad4610ed1962fbe298a434e8c5f8db53", size = 68410, upload-time = "2026-03-09T13:14:38.695Z" }, + { url = "https://files.pythonhosted.org/packages/e4/d7/060f45052f2a01ad5762c8fdecd6d7a752b43400dc29ff75cd47225a40fd/kiwisolver-1.5.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:8df31fe574b8b3993cc61764f40941111b25c2d9fea13d3ce24a49907cd2d615", size = 123231, upload-time = "2026-03-09T13:14:41.323Z" }, + { url = "https://files.pythonhosted.org/packages/c2/a7/78da680eadd06ff35edef6ef68a1ad273bad3e2a0936c9a885103230aece/kiwisolver-1.5.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:1d49a49ac4cbfb7c1375301cd1ec90169dfeae55ff84710d782260ce77a75a02", size = 66489, upload-time = "2026-03-09T13:14:42.534Z" }, + { url = "https://files.pythonhosted.org/packages/49/b2/97980f3ad4fae37dd7fe31626e2bf75fbf8bdf5d303950ec1fab39a12da8/kiwisolver-1.5.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:0cbe94b69b819209a62cb27bdfa5dc2a8977d8de2f89dfd97ba4f53ed3af754e", size = 64063, upload-time = "2026-03-09T13:14:44.759Z" }, + { url = "https://files.pythonhosted.org/packages/e7/f9/b06c934a6aa8bc91f566bd2a214fd04c30506c2d9e2b6b171953216a65b6/kiwisolver-1.5.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:80aa065ffd378ff784822a6d7c3212f2d5f5e9c3589614b5c228b311fd3063ac", size = 1475913, upload-time = "2026-03-09T13:14:46.247Z" }, + { url = "https://files.pythonhosted.org/packages/6b/f0/f768ae564a710135630672981231320bc403cf9152b5596ec5289de0f106/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4e7f886f47ab881692f278ae901039a234e4025a68e6dfab514263a0b1c4ae05", size = 1282782, upload-time = "2026-03-09T13:14:48.458Z" }, + { url = "https://files.pythonhosted.org/packages/e2/9f/1de7aad00697325f05238a5f2eafbd487fb637cc27a558b5367a5f37fb7f/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:5060731cc3ed12ca3a8b57acd4aeca5bbc2f49216dd0bec1650a1acd89486bcd", size = 1300815, upload-time = "2026-03-09T13:14:50.721Z" }, + { url = "https://files.pythonhosted.org/packages/5a/c2/297f25141d2e468e0ce7f7a7b92e0cf8918143a0cbd3422c1ad627e85a06/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:7a4aa69609f40fce3cbc3f87b2061f042eee32f94b8f11db707b66a26461591a", size = 1347925, upload-time = "2026-03-09T13:14:52.304Z" }, + { url = "https://files.pythonhosted.org/packages/b9/d3/f4c73a02eb41520c47610207b21afa8cdd18fdbf64ffd94674ae21c4812d/kiwisolver-1.5.0-cp314-cp314-manylinux_2_39_riscv64.whl", hash = "sha256:d168fda2dbff7b9b5f38e693182d792a938c31db4dac3a80a4888de603c99554", size = 991322, upload-time = "2026-03-09T13:14:54.637Z" }, + { url = "https://files.pythonhosted.org/packages/7b/46/d3f2efef7732fcda98d22bf4ad5d3d71d545167a852ca710a494f4c15343/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:413b820229730d358efd838ecbab79902fe97094565fdc80ddb6b0a18c18a581", size = 2232857, upload-time = "2026-03-09T13:14:56.471Z" }, + { url = "https://files.pythonhosted.org/packages/3f/ec/2d9756bf2b6d26ae4349b8d3662fb3993f16d80c1f971c179ce862b9dbae/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:5124d1ea754509b09e53738ec185584cc609aae4a3b510aaf4ed6aa047ef9303", size = 2329376, upload-time = "2026-03-09T13:14:58.072Z" }, + { url = "https://files.pythonhosted.org/packages/8f/9f/876a0a0f2260f1bde92e002b3019a5fabc35e0939c7d945e0fa66185eb20/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:e4415a8db000bf49a6dd1c478bf70062eaacff0f462b92b0ba68791a905861f9", size = 1982549, upload-time = "2026-03-09T13:14:59.668Z" }, + { url = "https://files.pythonhosted.org/packages/6c/4f/ba3624dfac23a64d54ac4179832860cb537c1b0af06024936e82ca4154a0/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:d618fd27420381a4f6044faa71f46d8bfd911bd077c555f7138ed88729bfbe79", size = 2494680, upload-time = "2026-03-09T13:15:01.364Z" }, + { url = "https://files.pythonhosted.org/packages/39/b7/97716b190ab98911b20d10bf92eca469121ec483b8ce0edd314f51bc85af/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5092eb5b1172947f57d6ea7d89b2f29650414e4293c47707eb499ec07a0ac796", size = 2297905, upload-time = "2026-03-09T13:15:03.925Z" }, + { url = "https://files.pythonhosted.org/packages/a3/36/4e551e8aa55c9188bca9abb5096805edbf7431072b76e2298e34fd3a3008/kiwisolver-1.5.0-cp314-cp314-win_amd64.whl", hash = "sha256:d76e2d8c75051d58177e762164d2e9ab92886534e3a12e795f103524f221dd8e", size = 75086, upload-time = "2026-03-09T13:15:07.775Z" }, + { url = "https://files.pythonhosted.org/packages/70/15/9b90f7df0e31a003c71649cf66ef61c3c1b862f48c81007fa2383c8bd8d7/kiwisolver-1.5.0-cp314-cp314-win_arm64.whl", hash = "sha256:fa6248cd194edff41d7ea9425ced8ca3a6f838bfb295f6f1d6e6bb694a8518df", size = 66577, upload-time = "2026-03-09T13:15:09.139Z" }, + { url = "https://files.pythonhosted.org/packages/17/01/7dc8c5443ff42b38e72731643ed7cf1ed9bf01691ae5cdca98501999ed83/kiwisolver-1.5.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:d1ffeb80b5676463d7a7d56acbe8e37a20ce725570e09549fe738e02ca6b7e1e", size = 125794, upload-time = "2026-03-09T13:15:10.525Z" }, + { url = "https://files.pythonhosted.org/packages/46/8a/b4ebe46ebaac6a303417fab10c2e165c557ddaff558f9699d302b256bc53/kiwisolver-1.5.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:bc4d8e252f532ab46a1de9349e2d27b91fce46736a9eedaa37beaca66f574ed4", size = 67646, upload-time = "2026-03-09T13:15:12.016Z" }, + { url = "https://files.pythonhosted.org/packages/60/35/10a844afc5f19d6f567359bf4789e26661755a2f36200d5d1ed8ad0126e5/kiwisolver-1.5.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:6783e069732715ad0c3ce96dbf21dbc2235ab0593f2baf6338101f70371f4028", size = 65511, upload-time = "2026-03-09T13:15:13.311Z" }, + { url = "https://files.pythonhosted.org/packages/f8/8a/685b297052dd041dcebce8e8787b58923b6e78acc6115a0dc9189011c44b/kiwisolver-1.5.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e7c4c09a490dc4d4a7f8cbee56c606a320f9dc28cf92a7157a39d1ce7676a657", size = 1584858, upload-time = "2026-03-09T13:15:15.103Z" }, + { url = "https://files.pythonhosted.org/packages/9e/80/04865e3d4638ac5bddec28908916df4a3075b8c6cc101786a96803188b96/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2a075bd7bd19c70cf67c8badfa36cf7c5d8de3c9ddb8420c51e10d9c50e94920", size = 1392539, upload-time = "2026-03-09T13:15:16.661Z" }, + { url = "https://files.pythonhosted.org/packages/ba/01/77a19cacc0893fa13fafa46d1bba06fb4dc2360b3292baf4b56d8e067b24/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:bdd3e53429ff02aa319ba59dfe4ceeec345bf46cf180ec2cf6fd5b942e7975e9", size = 1405310, upload-time = "2026-03-09T13:15:18.229Z" }, + { url = "https://files.pythonhosted.org/packages/53/39/bcaf5d0cca50e604cfa9b4e3ae1d64b50ca1ae5b754122396084599ef903/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:3cdcb35dc9d807259c981a85531048ede628eabcffb3239adf3d17463518992d", size = 1456244, upload-time = "2026-03-09T13:15:20.444Z" }, + { url = "https://files.pythonhosted.org/packages/d0/7a/72c187abc6975f6978c3e39b7cf67aeb8b3c0a8f9790aa7fd412855e9e1f/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_39_riscv64.whl", hash = "sha256:70d593af6a6ca332d1df73d519fddb5148edb15cd90d5f0155e3746a6d4fcc65", size = 1073154, upload-time = "2026-03-09T13:15:22.039Z" }, + { url = "https://files.pythonhosted.org/packages/c7/ca/cf5b25783ebbd59143b4371ed0c8428a278abe68d6d0104b01865b1bbd0f/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:377815a8616074cabbf3f53354e1d040c35815a134e01d7614b7692e4bf8acfa", size = 2334377, upload-time = "2026-03-09T13:15:23.741Z" }, + { url = "https://files.pythonhosted.org/packages/4a/e5/b1f492adc516796e88751282276745340e2a72dcd0d36cf7173e0daf3210/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:0255a027391d52944eae1dbb5d4cc5903f57092f3674e8e544cdd2622826b3f0", size = 2425288, upload-time = "2026-03-09T13:15:25.789Z" }, + { url = "https://files.pythonhosted.org/packages/e6/e5/9b21fbe91a61b8f409d74a26498706e97a48008bfcd1864373d32a6ba31c/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:012b1eb16e28718fa782b5e61dc6f2da1f0792ca73bd05d54de6cb9561665fc9", size = 2063158, upload-time = "2026-03-09T13:15:27.63Z" }, + { url = "https://files.pythonhosted.org/packages/b1/02/83f47986138310f95ea95531f851b2a62227c11cbc3e690ae1374fe49f0f/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:0e3aafb33aed7479377e5e9a82e9d4bf87063741fc99fc7ae48b0f16e32bdd6f", size = 2597260, upload-time = "2026-03-09T13:15:29.421Z" }, + { url = "https://files.pythonhosted.org/packages/07/18/43a5f24608d8c313dd189cf838c8e68d75b115567c6279de7796197cfb6a/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:e7a116ae737f0000343218c4edf5bd45893bfeaff0993c0b215d7124c9f77646", size = 2394403, upload-time = "2026-03-09T13:15:31.517Z" }, + { url = "https://files.pythonhosted.org/packages/3b/b5/98222136d839b8afabcaa943b09bd05888c2d36355b7e448550211d1fca4/kiwisolver-1.5.0-cp314-cp314t-win_amd64.whl", hash = "sha256:1dd9b0b119a350976a6d781e7278ec7aca0b201e1a9e2d23d9804afecb6ca681", size = 79687, upload-time = "2026-03-09T13:15:33.204Z" }, + { url = "https://files.pythonhosted.org/packages/99/a2/ca7dc962848040befed12732dff6acae7fb3c4f6fc4272b3f6c9a30b8713/kiwisolver-1.5.0-cp314-cp314t-win_arm64.whl", hash = "sha256:58f812017cd2985c21fbffb4864d59174d4903dd66fa23815e74bbc7a0e2dd57", size = 70032, upload-time = "2026-03-09T13:15:34.411Z" }, + { url = "https://files.pythonhosted.org/packages/1c/fa/2910df836372d8761bb6eff7d8bdcb1613b5c2e03f260efe7abe34d388a7/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-macosx_10_13_x86_64.whl", hash = "sha256:5ae8e62c147495b01a0f4765c878e9bfdf843412446a247e28df59936e99e797", size = 130262, upload-time = "2026-03-09T13:15:35.629Z" }, + { url = "https://files.pythonhosted.org/packages/0f/41/c5f71f9f00aabcc71fee8b7475e3f64747282580c2fe748961ba29b18385/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:f6764a4ccab3078db14a632420930f6186058750df066b8ea2a7106df91d3203", size = 138036, upload-time = "2026-03-09T13:15:36.894Z" }, + { url = "https://files.pythonhosted.org/packages/fa/06/7399a607f434119c6e1fdc8ec89a8d51ccccadf3341dee4ead6bd14caaf5/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c31c13da98624f957b0fb1b5bae5383b2333c2c3f6793d9825dd5ce79b525cb7", size = 194295, upload-time = "2026-03-09T13:15:38.22Z" }, + { url = "https://files.pythonhosted.org/packages/b5/91/53255615acd2a1eaca307ede3c90eb550bae9c94581f8c00081b6b1c8f44/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-win_amd64.whl", hash = "sha256:1f1489f769582498610e015a8ef2d36f28f505ab3096d0e16b4858a9ec214f57", size = 75987, upload-time = "2026-03-09T13:15:39.65Z" }, + { url = "https://files.pythonhosted.org/packages/e9/eb/5fcbbbf9a0e2c3a35effb88831a483345326bbc3a030a3b5b69aee647f84/kiwisolver-1.5.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:ec4c85dc4b687c7f7f15f553ff26a98bfe8c58f5f7f0ac8905f0ba4c7be60232", size = 59532, upload-time = "2026-03-09T13:15:47.047Z" }, + { url = "https://files.pythonhosted.org/packages/c3/9b/e17104555bb4db148fd52327feea1e96be4b88e8e008b029002c281a21ab/kiwisolver-1.5.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:12e91c215a96e39f57989c8912ae761286ac5a9584d04030ceb3368a357f017a", size = 57420, upload-time = "2026-03-09T13:15:48.199Z" }, + { url = "https://files.pythonhosted.org/packages/48/44/2b5b95b7aa39fb2d8d9d956e0f3d5d45aef2ae1d942d4c3ffac2f9cfed1a/kiwisolver-1.5.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:be4a51a55833dc29ab5d7503e7bcb3b3af3402d266018137127450005cdfe737", size = 79892, upload-time = "2026-03-09T13:15:49.694Z" }, + { url = "https://files.pythonhosted.org/packages/52/7d/7157f9bba6b455cfb4632ed411e199fc8b8977642c2b12082e1bd9e6d173/kiwisolver-1.5.0-pp311-pypy311_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:daae526907e262de627d8f70058a0f64acc9e2641c164c99c8f594b34a799a16", size = 77603, upload-time = "2026-03-09T13:15:50.945Z" }, + { url = "https://files.pythonhosted.org/packages/0a/dd/8050c947d435c8d4bc94e3252f4d8bb8a76cfb424f043a8680be637a57f1/kiwisolver-1.5.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:59cd8683f575d96df5bb48f6add94afc055012c29e28124fcae2b63661b9efb1", size = 73558, upload-time = "2026-03-09T13:15:52.112Z" }, ] [[package]] @@ -1231,8 +1362,7 @@ version = "1.3.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "future" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/b8/e0/6806df4cfa54927a2d8e425407611b4fc031dd125bc952b4a31deb743305/lsstdesc_coord-1.3.1.tar.gz", hash = "sha256:60f878c29e1f30a9b50bf60dca3c466dc9cfb2cbc71f0a27c575ced969de57ab", size = 41647, upload-time = "2026-02-13T18:37:32.611Z" } wheels = [ @@ -1256,13 +1386,11 @@ name = "matplotlib" version = "3.10.8" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "contourpy", version = "1.3.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "contourpy", version = "1.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "contourpy" }, { name = "cycler" }, { name = "fonttools" }, { name = "kiwisolver" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "packaging" }, { name = "pillow" }, { name = "pyparsing" }, @@ -1270,12 +1398,6 @@ dependencies = [ ] sdist = { url = "https://files.pythonhosted.org/packages/8a/76/d3c6e3a13fe484ebe7718d14e269c9569c4eb0020a968a327acb3b9a8fe6/matplotlib-3.10.8.tar.gz", hash = "sha256:2299372c19d56bcd35cf05a2738308758d32b9eaed2371898d8f5bd33f084aa3", size = 34806269, upload-time = "2025-12-10T22:56:51.155Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/58/be/a30bd917018ad220c400169fba298f2bb7003c8ccbc0c3e24ae2aacad1e8/matplotlib-3.10.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:00270d217d6b20d14b584c521f810d60c5c78406dc289859776550df837dcda7", size = 8239828, upload-time = "2025-12-10T22:55:02.313Z" }, - { url = "https://files.pythonhosted.org/packages/58/27/ca01e043c4841078e82cf6e80a6993dfecd315c3d79f5f3153afbb8e1ec6/matplotlib-3.10.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37b3c1cc42aa184b3f738cfa18c1c1d72fd496d85467a6cf7b807936d39aa656", size = 8128050, upload-time = "2025-12-10T22:55:04.997Z" }, - { url = "https://files.pythonhosted.org/packages/cb/aa/7ab67f2b729ae6a91bcf9dcac0affb95fb8c56f7fd2b2af894ae0b0cf6fa/matplotlib-3.10.8-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ee40c27c795bda6a5292e9cff9890189d32f7e3a0bf04e0e3c9430c4a00c37df", size = 8700452, upload-time = "2025-12-10T22:55:07.47Z" }, - { url = "https://files.pythonhosted.org/packages/73/ae/2d5817b0acee3c49b7e7ccfbf5b273f284957cc8e270adf36375db353190/matplotlib-3.10.8-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a48f2b74020919552ea25d222d5cc6af9ca3f4eb43a93e14d068457f545c2a17", size = 9534928, upload-time = "2025-12-10T22:55:10.566Z" }, - { url = "https://files.pythonhosted.org/packages/c9/5b/8e66653e9f7c39cb2e5cab25fce4810daffa2bff02cbf5f3077cea9e942c/matplotlib-3.10.8-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f254d118d14a7f99d616271d6c3c27922c092dac11112670b157798b89bf4933", size = 9586377, upload-time = "2025-12-10T22:55:12.362Z" }, - { url = "https://files.pythonhosted.org/packages/e2/e2/fd0bbadf837f81edb0d208ba8f8cb552874c3b16e27cb91a31977d90875d/matplotlib-3.10.8-cp310-cp310-win_amd64.whl", hash = "sha256:f9b587c9c7274c1613a30afabf65a272114cd6cdbe67b3406f818c79d7ab2e2a", size = 8128127, upload-time = "2025-12-10T22:55:14.436Z" }, { url = "https://files.pythonhosted.org/packages/f8/86/de7e3a1cdcfc941483af70609edc06b83e7c8a0e0dc9ac325200a3f4d220/matplotlib-3.10.8-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:6be43b667360fef5c754dda5d25a32e6307a03c204f3c0fc5468b78fa87b4160", size = 8251215, upload-time = "2025-12-10T22:55:16.175Z" }, { url = "https://files.pythonhosted.org/packages/fd/14/baad3222f424b19ce6ad243c71de1ad9ec6b2e4eb1e458a48fdc6d120401/matplotlib-3.10.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a2b336e2d91a3d7006864e0990c83b216fcdca64b5a6484912902cef87313d78", size = 8139625, upload-time = "2025-12-10T22:55:17.712Z" }, { url = "https://files.pythonhosted.org/packages/8f/a0/7024215e95d456de5883e6732e708d8187d9753a21d32f8ddb3befc0c445/matplotlib-3.10.8-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:efb30e3baaea72ce5928e32bab719ab4770099079d66726a62b11b1ef7273be4", size = 8712614, upload-time = "2025-12-10T22:55:20.8Z" }, @@ -1290,9 +1412,34 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/57/61/78cd5920d35b29fd2a0fe894de8adf672ff52939d2e9b43cb83cd5ce1bc7/matplotlib-3.10.8-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:99eefd13c0dc3b3c1b4d561c1169e65fe47aab7b8158754d7c084088e2329466", size = 9613040, upload-time = "2025-12-10T22:55:38.715Z" }, { url = "https://files.pythonhosted.org/packages/30/4e/c10f171b6e2f44d9e3a2b96efa38b1677439d79c99357600a62cc1e9594e/matplotlib-3.10.8-cp312-cp312-win_amd64.whl", hash = "sha256:dd80ecb295460a5d9d260df63c43f4afbdd832d725a531f008dad1664f458adf", size = 8142717, upload-time = "2025-12-10T22:55:41.103Z" }, { url = "https://files.pythonhosted.org/packages/f1/76/934db220026b5fef85f45d51a738b91dea7d70207581063cd9bd8fafcf74/matplotlib-3.10.8-cp312-cp312-win_arm64.whl", hash = "sha256:3c624e43ed56313651bc18a47f838b60d7b8032ed348911c54906b130b20071b", size = 8012751, upload-time = "2025-12-10T22:55:42.684Z" }, - { url = "https://files.pythonhosted.org/packages/f5/43/31d59500bb950b0d188e149a2e552040528c13d6e3d6e84d0cccac593dcd/matplotlib-3.10.8-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:f97aeb209c3d2511443f8797e3e5a569aebb040d4f8bc79aa3ee78a8fb9e3dd8", size = 8237252, upload-time = "2025-12-10T22:56:39.529Z" }, - { url = "https://files.pythonhosted.org/packages/0c/2c/615c09984f3c5f907f51c886538ad785cf72e0e11a3225de2c0f9442aecc/matplotlib-3.10.8-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fb061f596dad3a0f52b60dc6a5dec4a0c300dec41e058a7efe09256188d170b7", size = 8124693, upload-time = "2025-12-10T22:56:41.758Z" }, - { url = "https://files.pythonhosted.org/packages/91/e1/2757277a1c56041e1fc104b51a0f7b9a4afc8eb737865d63cababe30bc61/matplotlib-3.10.8-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:12d90df9183093fcd479f4172ac26b322b1248b15729cb57f42f71f24c7e37a3", size = 8702205, upload-time = "2025-12-10T22:56:43.415Z" }, + { url = "https://files.pythonhosted.org/packages/3d/b9/15fd5541ef4f5b9a17eefd379356cf12175fe577424e7b1d80676516031a/matplotlib-3.10.8-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3f2e409836d7f5ac2f1c013110a4d50b9f7edc26328c108915f9075d7d7a91b6", size = 8261076, upload-time = "2025-12-10T22:55:44.648Z" }, + { url = "https://files.pythonhosted.org/packages/8d/a0/2ba3473c1b66b9c74dc7107c67e9008cb1782edbe896d4c899d39ae9cf78/matplotlib-3.10.8-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:56271f3dac49a88d7fca5060f004d9d22b865f743a12a23b1e937a0be4818ee1", size = 8148794, upload-time = "2025-12-10T22:55:46.252Z" }, + { url = "https://files.pythonhosted.org/packages/75/97/a471f1c3eb1fd6f6c24a31a5858f443891d5127e63a7788678d14e249aea/matplotlib-3.10.8-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a0a7f52498f72f13d4a25ea70f35f4cb60642b466cbb0a9be951b5bc3f45a486", size = 8718474, upload-time = "2025-12-10T22:55:47.864Z" }, + { url = "https://files.pythonhosted.org/packages/01/be/cd478f4b66f48256f42927d0acbcd63a26a893136456cd079c0cc24fbabf/matplotlib-3.10.8-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:646d95230efb9ca614a7a594d4fcacde0ac61d25e37dd51710b36477594963ce", size = 9549637, upload-time = "2025-12-10T22:55:50.048Z" }, + { url = "https://files.pythonhosted.org/packages/5d/7c/8dc289776eae5109e268c4fb92baf870678dc048a25d4ac903683b86d5bf/matplotlib-3.10.8-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f89c151aab2e2e23cb3fe0acad1e8b82841fd265379c4cecd0f3fcb34c15e0f6", size = 9613678, upload-time = "2025-12-10T22:55:52.21Z" }, + { url = "https://files.pythonhosted.org/packages/64/40/37612487cc8a437d4dd261b32ca21fe2d79510fe74af74e1f42becb1bdb8/matplotlib-3.10.8-cp313-cp313-win_amd64.whl", hash = "sha256:e8ea3e2d4066083e264e75c829078f9e149fa119d27e19acd503de65e0b13149", size = 8142686, upload-time = "2025-12-10T22:55:54.253Z" }, + { url = "https://files.pythonhosted.org/packages/66/52/8d8a8730e968185514680c2a6625943f70269509c3dcfc0dcf7d75928cb8/matplotlib-3.10.8-cp313-cp313-win_arm64.whl", hash = "sha256:c108a1d6fa78a50646029cb6d49808ff0fc1330fda87fa6f6250c6b5369b6645", size = 8012917, upload-time = "2025-12-10T22:55:56.268Z" }, + { url = "https://files.pythonhosted.org/packages/b5/27/51fe26e1062f298af5ef66343d8ef460e090a27fea73036c76c35821df04/matplotlib-3.10.8-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:ad3d9833a64cf48cc4300f2b406c3d0f4f4724a91c0bd5640678a6ba7c102077", size = 8305679, upload-time = "2025-12-10T22:55:57.856Z" }, + { url = "https://files.pythonhosted.org/packages/2c/1e/4de865bc591ac8e3062e835f42dd7fe7a93168d519557837f0e37513f629/matplotlib-3.10.8-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:eb3823f11823deade26ce3b9f40dcb4a213da7a670013929f31d5f5ed1055b22", size = 8198336, upload-time = "2025-12-10T22:55:59.371Z" }, + { url = "https://files.pythonhosted.org/packages/c6/cb/2f7b6e75fb4dce87ef91f60cac4f6e34f4c145ab036a22318ec837971300/matplotlib-3.10.8-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d9050fee89a89ed57b4fb2c1bfac9a3d0c57a0d55aed95949eedbc42070fea39", size = 8731653, upload-time = "2025-12-10T22:56:01.032Z" }, + { url = "https://files.pythonhosted.org/packages/46/b3/bd9c57d6ba670a37ab31fb87ec3e8691b947134b201f881665b28cc039ff/matplotlib-3.10.8-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b44d07310e404ba95f8c25aa5536f154c0a8ec473303535949e52eb71d0a1565", size = 9561356, upload-time = "2025-12-10T22:56:02.95Z" }, + { url = "https://files.pythonhosted.org/packages/c0/3d/8b94a481456dfc9dfe6e39e93b5ab376e50998cddfd23f4ae3b431708f16/matplotlib-3.10.8-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:0a33deb84c15ede243aead39f77e990469fff93ad1521163305095b77b72ce4a", size = 9614000, upload-time = "2025-12-10T22:56:05.411Z" }, + { url = "https://files.pythonhosted.org/packages/bd/cd/bc06149fe5585ba800b189a6a654a75f1f127e8aab02fd2be10df7fa500c/matplotlib-3.10.8-cp313-cp313t-win_amd64.whl", hash = "sha256:3a48a78d2786784cc2413e57397981fb45c79e968d99656706018d6e62e57958", size = 8220043, upload-time = "2025-12-10T22:56:07.551Z" }, + { url = "https://files.pythonhosted.org/packages/e3/de/b22cf255abec916562cc04eef457c13e58a1990048de0c0c3604d082355e/matplotlib-3.10.8-cp313-cp313t-win_arm64.whl", hash = "sha256:15d30132718972c2c074cd14638c7f4592bd98719e2308bccea40e0538bc0cb5", size = 8062075, upload-time = "2025-12-10T22:56:09.178Z" }, + { url = "https://files.pythonhosted.org/packages/3c/43/9c0ff7a2f11615e516c3b058e1e6e8f9614ddeca53faca06da267c48345d/matplotlib-3.10.8-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:b53285e65d4fa4c86399979e956235deb900be5baa7fc1218ea67fbfaeaadd6f", size = 8262481, upload-time = "2025-12-10T22:56:10.885Z" }, + { url = "https://files.pythonhosted.org/packages/6f/ca/e8ae28649fcdf039fda5ef554b40a95f50592a3c47e6f7270c9561c12b07/matplotlib-3.10.8-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:32f8dce744be5569bebe789e46727946041199030db8aeb2954d26013a0eb26b", size = 8151473, upload-time = "2025-12-10T22:56:12.377Z" }, + { url = "https://files.pythonhosted.org/packages/f1/6f/009d129ae70b75e88cbe7e503a12a4c0670e08ed748a902c2568909e9eb5/matplotlib-3.10.8-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4cf267add95b1c88300d96ca837833d4112756045364f5c734a2276038dae27d", size = 9553896, upload-time = "2025-12-10T22:56:14.432Z" }, + { url = "https://files.pythonhosted.org/packages/f5/26/4221a741eb97967bc1fd5e4c52b9aa5a91b2f4ec05b59f6def4d820f9df9/matplotlib-3.10.8-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2cf5bd12cecf46908f286d7838b2abc6c91cda506c0445b8223a7c19a00df008", size = 9824193, upload-time = "2025-12-10T22:56:16.29Z" }, + { url = "https://files.pythonhosted.org/packages/1f/f3/3abf75f38605772cf48a9daf5821cd4f563472f38b4b828c6fba6fa6d06e/matplotlib-3.10.8-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:41703cc95688f2516b480f7f339d8851a6035f18e100ee6a32bc0b8536a12a9c", size = 9615444, upload-time = "2025-12-10T22:56:18.155Z" }, + { url = "https://files.pythonhosted.org/packages/93/a5/de89ac80f10b8dc615807ee1133cd99ac74082581196d4d9590bea10690d/matplotlib-3.10.8-cp314-cp314-win_amd64.whl", hash = "sha256:83d282364ea9f3e52363da262ce32a09dfe241e4080dcedda3c0db059d3c1f11", size = 8272719, upload-time = "2025-12-10T22:56:20.366Z" }, + { url = "https://files.pythonhosted.org/packages/69/ce/b006495c19ccc0a137b48083168a37bd056392dee02f87dba0472f2797fe/matplotlib-3.10.8-cp314-cp314-win_arm64.whl", hash = "sha256:2c1998e92cd5999e295a731bcb2911c75f597d937341f3030cc24ef2733d78a8", size = 8144205, upload-time = "2025-12-10T22:56:22.239Z" }, + { url = "https://files.pythonhosted.org/packages/68/d9/b31116a3a855bd313c6fcdb7226926d59b041f26061c6c5b1be66a08c826/matplotlib-3.10.8-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:b5a2b97dbdc7d4f353ebf343744f1d1f1cca8aa8bfddb4262fcf4306c3761d50", size = 8305785, upload-time = "2025-12-10T22:56:24.218Z" }, + { url = "https://files.pythonhosted.org/packages/1e/90/6effe8103f0272685767ba5f094f453784057072f49b393e3ea178fe70a5/matplotlib-3.10.8-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3f5c3e4da343bba819f0234186b9004faba952cc420fbc522dc4e103c1985908", size = 8198361, upload-time = "2025-12-10T22:56:26.787Z" }, + { url = "https://files.pythonhosted.org/packages/d7/65/a73188711bea603615fc0baecca1061429ac16940e2385433cc778a9d8e7/matplotlib-3.10.8-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f62550b9a30afde8c1c3ae450e5eb547d579dd69b25c2fc7a1c67f934c1717a", size = 9561357, upload-time = "2025-12-10T22:56:28.953Z" }, + { url = "https://files.pythonhosted.org/packages/f4/3d/b5c5d5d5be8ce63292567f0e2c43dde9953d3ed86ac2de0a72e93c8f07a1/matplotlib-3.10.8-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:495672de149445ec1b772ff2c9ede9b769e3cb4f0d0aa7fa730d7f59e2d4e1c1", size = 9823610, upload-time = "2025-12-10T22:56:31.455Z" }, + { url = "https://files.pythonhosted.org/packages/4d/4b/e7beb6bbd49f6bae727a12b270a2654d13c397576d25bd6786e47033300f/matplotlib-3.10.8-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:595ba4d8fe983b88f0eec8c26a241e16d6376fe1979086232f481f8f3f67494c", size = 9614011, upload-time = "2025-12-10T22:56:33.85Z" }, + { url = "https://files.pythonhosted.org/packages/7c/e6/76f2813d31f032e65f6f797e3f2f6e4aab95b65015924b1c51370395c28a/matplotlib-3.10.8-cp314-cp314t-win_amd64.whl", hash = "sha256:25d380fe8b1dc32cf8f0b1b448470a77afb195438bafdf1d858bfb876f3edf7b", size = 8362801, upload-time = "2025-12-10T22:56:36.107Z" }, + { url = "https://files.pythonhosted.org/packages/5d/49/d651878698a0b67f23aa28e17f45a6d6dd3d3f933fa29087fa4ce5947b5a/matplotlib-3.10.8-cp314-cp314t-win_arm64.whl", hash = "sha256:113bb52413ea508ce954a02c10ffd0d565f9c3bc7f2eddc27dfe1731e71c7b5f", size = 8192560, upload-time = "2025-12-10T22:56:38.008Z" }, { url = "https://files.pythonhosted.org/packages/04/30/3afaa31c757f34b7725ab9d2ba8b48b5e89c2019c003e7d0ead143aabc5a/matplotlib-3.10.8-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6da7c2ce169267d0d066adcf63758f0604aa6c3eebf67458930f9d9b79ad1db1", size = 8249198, upload-time = "2025-12-10T22:56:45.584Z" }, { url = "https://files.pythonhosted.org/packages/48/2f/6334aec331f57485a642a7c8be03cb286f29111ae71c46c38b363230063c/matplotlib-3.10.8-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:9153c3292705be9f9c64498a8872118540c3f4123d1a1c840172edf262c8be4a", size = 8136817, upload-time = "2025-12-10T22:56:47.339Z" }, { url = "https://files.pythonhosted.org/packages/73/e4/6d6f14b2a759c622f191b2d67e9075a3f56aaccb3be4bb9bb6890030d0a0/matplotlib-3.10.8-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ae029229a57cd1e8fe542485f27e7ca7b23aa9e8944ddb4985d0bc444f1eca2", size = 8713867, upload-time = "2025-12-10T22:56:48.954Z" }, @@ -1324,15 +1471,10 @@ name = "ml-dtypes" version = "0.5.4" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/0e/4a/c27b42ed9b1c7d13d9ba8b6905dece787d6259152f2309338aed29b2447b/ml_dtypes-0.5.4.tar.gz", hash = "sha256:8ab06a50fb9bf9666dd0fe5dfb4676fa2b0ac0f31ecff72a6c3af8e22c063453", size = 692314, upload-time = "2025-11-17T22:32:31.031Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/fe/3a/c5b855752a70267ff729c349e650263adb3c206c29d28cc8ea7ace30a1d5/ml_dtypes-0.5.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b95e97e470fe60ed493fd9ae3911d8da4ebac16bd21f87ffa2b7c588bf22ea2c", size = 679735, upload-time = "2025-11-17T22:31:31.367Z" }, - { url = "https://files.pythonhosted.org/packages/41/79/7433f30ee04bd4faa303844048f55e1eb939131c8e5195a00a96a0939b64/ml_dtypes-0.5.4-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4b801ebe0b477be666696bda493a9be8356f1f0057a57f1e35cd26928823e5a", size = 5051883, upload-time = "2025-11-17T22:31:33.658Z" }, - { url = "https://files.pythonhosted.org/packages/10/b1/8938e8830b0ee2e167fc75a094dea766a1152bde46752cd9bfc57ee78a82/ml_dtypes-0.5.4-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:388d399a2152dd79a3f0456a952284a99ee5c93d3e2f8dfe25977511e0515270", size = 5030369, upload-time = "2025-11-17T22:31:35.595Z" }, - { url = "https://files.pythonhosted.org/packages/c7/a3/51886727bd16e2f47587997b802dd56398692ce8c6c03c2e5bb32ecafe26/ml_dtypes-0.5.4-cp310-cp310-win_amd64.whl", hash = "sha256:4ff7f3e7ca2972e7de850e7b8fcbb355304271e2933dd90814c1cb847414d6e2", size = 210738, upload-time = "2025-11-17T22:31:37.43Z" }, { url = "https://files.pythonhosted.org/packages/c6/5e/712092cfe7e5eb667b8ad9ca7c54442f21ed7ca8979745f1000e24cf8737/ml_dtypes-0.5.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6c7ecb74c4bd71db68a6bea1edf8da8c34f3d9fe218f038814fd1d310ac76c90", size = 679734, upload-time = "2025-11-17T22:31:39.223Z" }, { url = "https://files.pythonhosted.org/packages/4f/cf/912146dfd4b5c0eea956836c01dcd2fce6c9c844b2691f5152aca196ce4f/ml_dtypes-0.5.4-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bc11d7e8c44a65115d05e2ab9989d1e045125d7be8e05a071a48bc76eb6d6040", size = 5056165, upload-time = "2025-11-17T22:31:41.071Z" }, { url = "https://files.pythonhosted.org/packages/a9/80/19189ea605017473660e43762dc853d2797984b3c7bf30ce656099add30c/ml_dtypes-0.5.4-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:19b9a53598f21e453ea2fbda8aa783c20faff8e1eeb0d7ab899309a0053f1483", size = 5034975, upload-time = "2025-11-17T22:31:42.758Z" }, @@ -1343,6 +1485,26 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/3a/cb/28ce52eb94390dda42599c98ea0204d74799e4d8047a0eb559b6fd648056/ml_dtypes-0.5.4-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9ad459e99793fa6e13bd5b7e6792c8f9190b4e5a1b45c63aba14a4d0a7f1d5ff", size = 5009002, upload-time = "2025-11-17T22:31:52.001Z" }, { url = "https://files.pythonhosted.org/packages/f5/f0/0cfadd537c5470378b1b32bd859cf2824972174b51b873c9d95cfd7475a5/ml_dtypes-0.5.4-cp312-cp312-win_amd64.whl", hash = "sha256:c1a953995cccb9e25a4ae19e34316671e4e2edaebe4cf538229b1fc7109087b7", size = 212222, upload-time = "2025-11-17T22:31:53.742Z" }, { url = "https://files.pythonhosted.org/packages/16/2e/9acc86985bfad8f2c2d30291b27cd2bb4c74cea08695bd540906ed744249/ml_dtypes-0.5.4-cp312-cp312-win_arm64.whl", hash = "sha256:9bad06436568442575beb2d03389aa7456c690a5b05892c471215bfd8cf39460", size = 160793, upload-time = "2025-11-17T22:31:55.358Z" }, + { url = "https://files.pythonhosted.org/packages/d9/a1/4008f14bbc616cfb1ac5b39ea485f9c63031c4634ab3f4cf72e7541f816a/ml_dtypes-0.5.4-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8c760d85a2f82e2bed75867079188c9d18dae2ee77c25a54d60e9cc79be1bc48", size = 676888, upload-time = "2025-11-17T22:31:56.907Z" }, + { url = "https://files.pythonhosted.org/packages/d3/b7/dff378afc2b0d5a7d6cd9d3209b60474d9819d1189d347521e1688a60a53/ml_dtypes-0.5.4-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ce756d3a10d0c4067172804c9cc276ba9cc0ff47af9078ad439b075d1abdc29b", size = 5036993, upload-time = "2025-11-17T22:31:58.497Z" }, + { url = "https://files.pythonhosted.org/packages/eb/33/40cd74219417e78b97c47802037cf2d87b91973e18bb968a7da48a96ea44/ml_dtypes-0.5.4-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:533ce891ba774eabf607172254f2e7260ba5f57bdd64030c9a4fcfbd99815d0d", size = 5010956, upload-time = "2025-11-17T22:31:59.931Z" }, + { url = "https://files.pythonhosted.org/packages/e1/8b/200088c6859d8221454825959df35b5244fa9bdf263fd0249ac5fb75e281/ml_dtypes-0.5.4-cp313-cp313-win_amd64.whl", hash = "sha256:f21c9219ef48ca5ee78402d5cc831bd58ea27ce89beda894428bc67a52da5328", size = 212224, upload-time = "2025-11-17T22:32:01.349Z" }, + { url = "https://files.pythonhosted.org/packages/8f/75/dfc3775cb36367816e678f69a7843f6f03bd4e2bcd79941e01ea960a068e/ml_dtypes-0.5.4-cp313-cp313-win_arm64.whl", hash = "sha256:35f29491a3e478407f7047b8a4834e4640a77d2737e0b294d049746507af5175", size = 160798, upload-time = "2025-11-17T22:32:02.864Z" }, + { url = "https://files.pythonhosted.org/packages/4f/74/e9ddb35fd1dd43b1106c20ced3f53c2e8e7fc7598c15638e9f80677f81d4/ml_dtypes-0.5.4-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:304ad47faa395415b9ccbcc06a0350800bc50eda70f0e45326796e27c62f18b6", size = 702083, upload-time = "2025-11-17T22:32:04.08Z" }, + { url = "https://files.pythonhosted.org/packages/74/f5/667060b0aed1aa63166b22897fdf16dca9eb704e6b4bbf86848d5a181aa7/ml_dtypes-0.5.4-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6a0df4223b514d799b8a1629c65ddc351b3efa833ccf7f8ea0cf654a61d1e35d", size = 5354111, upload-time = "2025-11-17T22:32:05.546Z" }, + { url = "https://files.pythonhosted.org/packages/40/49/0f8c498a28c0efa5f5c95a9e374c83ec1385ca41d0e85e7cf40e5d519a21/ml_dtypes-0.5.4-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:531eff30e4d368cb6255bc2328d070e35836aa4f282a0fb5f3a0cd7260257298", size = 5366453, upload-time = "2025-11-17T22:32:07.115Z" }, + { url = "https://files.pythonhosted.org/packages/8c/27/12607423d0a9c6bbbcc780ad19f1f6baa2b68b18ce4bddcdc122c4c68dc9/ml_dtypes-0.5.4-cp313-cp313t-win_amd64.whl", hash = "sha256:cb73dccfc991691c444acc8c0012bee8f2470da826a92e3a20bb333b1a7894e6", size = 225612, upload-time = "2025-11-17T22:32:08.615Z" }, + { url = "https://files.pythonhosted.org/packages/e5/80/5a5929e92c72936d5b19872c5fb8fc09327c1da67b3b68c6a13139e77e20/ml_dtypes-0.5.4-cp313-cp313t-win_arm64.whl", hash = "sha256:3bbbe120b915090d9dd1375e4684dd17a20a2491ef25d640a908281da85e73f1", size = 164145, upload-time = "2025-11-17T22:32:09.782Z" }, + { url = "https://files.pythonhosted.org/packages/72/4e/1339dc6e2557a344f5ba5590872e80346f76f6cb2ac3dd16e4666e88818c/ml_dtypes-0.5.4-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:2b857d3af6ac0d39db1de7c706e69c7f9791627209c3d6dedbfca8c7e5faec22", size = 673781, upload-time = "2025-11-17T22:32:11.364Z" }, + { url = "https://files.pythonhosted.org/packages/04/f9/067b84365c7e83bda15bba2b06c6ca250ce27b20630b1128c435fb7a09aa/ml_dtypes-0.5.4-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:805cef3a38f4eafae3a5bf9ebdcdb741d0bcfd9e1bd90eb54abd24f928cd2465", size = 5036145, upload-time = "2025-11-17T22:32:12.783Z" }, + { url = "https://files.pythonhosted.org/packages/c6/bb/82c7dcf38070b46172a517e2334e665c5bf374a262f99a283ea454bece7c/ml_dtypes-0.5.4-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:14a4fd3228af936461db66faccef6e4f41c1d82fcc30e9f8d58a08916b1d811f", size = 5010230, upload-time = "2025-11-17T22:32:14.38Z" }, + { url = "https://files.pythonhosted.org/packages/e9/93/2bfed22d2498c468f6bcd0d9f56b033eaa19f33320389314c19ef6766413/ml_dtypes-0.5.4-cp314-cp314-win_amd64.whl", hash = "sha256:8c6a2dcebd6f3903e05d51960a8058d6e131fe69f952a5397e5dbabc841b6d56", size = 221032, upload-time = "2025-11-17T22:32:15.763Z" }, + { url = "https://files.pythonhosted.org/packages/76/a3/9c912fe6ea747bb10fe2f8f54d027eb265db05dfb0c6335e3e063e74e6e8/ml_dtypes-0.5.4-cp314-cp314-win_arm64.whl", hash = "sha256:5a0f68ca8fd8d16583dfa7793973feb86f2fbb56ce3966daf9c9f748f52a2049", size = 163353, upload-time = "2025-11-17T22:32:16.932Z" }, + { url = "https://files.pythonhosted.org/packages/cd/02/48aa7d84cc30ab4ee37624a2fd98c56c02326785750cd212bc0826c2f15b/ml_dtypes-0.5.4-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:bfc534409c5d4b0bf945af29e5d0ab075eae9eecbb549ff8a29280db822f34f9", size = 702085, upload-time = "2025-11-17T22:32:18.175Z" }, + { url = "https://files.pythonhosted.org/packages/5a/e7/85cb99fe80a7a5513253ec7faa88a65306be071163485e9a626fce1b6e84/ml_dtypes-0.5.4-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2314892cdc3fcf05e373d76d72aaa15fda9fb98625effa73c1d646f331fcecb7", size = 5355358, upload-time = "2025-11-17T22:32:19.7Z" }, + { url = "https://files.pythonhosted.org/packages/79/2b/a826ba18d2179a56e144aef69e57fb2ab7c464ef0b2111940ee8a3a223a2/ml_dtypes-0.5.4-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0d2ffd05a2575b1519dc928c0b93c06339eb67173ff53acb00724502cda231cf", size = 5366332, upload-time = "2025-11-17T22:32:21.193Z" }, + { url = "https://files.pythonhosted.org/packages/84/44/f4d18446eacb20ea11e82f133ea8f86e2bf2891785b67d9da8d0ab0ef525/ml_dtypes-0.5.4-cp314-cp314t-win_amd64.whl", hash = "sha256:4381fe2f2452a2d7589689693d3162e876b3ddb0a832cde7a414f8e1adf7eab1", size = 236612, upload-time = "2025-11-17T22:32:22.579Z" }, + { url = "https://files.pythonhosted.org/packages/ad/3f/3d42e9a78fe5edf792a83c074b13b9b770092a4fbf3462872f4303135f09/ml_dtypes-0.5.4-cp314-cp314t-win_arm64.whl", hash = "sha256:11942cbf2cf92157db91e5022633c0d9474d4dfd813a909383bd23ce828a4b7d", size = 168825, upload-time = "2025-11-17T22:32:23.766Z" }, ] [[package]] @@ -1365,88 +1527,81 @@ wheels = [ [[package]] name = "numpy" -version = "2.2.6" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11'", -] -sdist = { url = "https://files.pythonhosted.org/packages/76/21/7d2a95e4bba9dc13d043ee156a356c0a8f0c6309dff6b21b4d71a073b8a8/numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd", size = 20276440, upload-time = "2025-05-17T22:38:04.611Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/9a/3e/ed6db5be21ce87955c0cbd3009f2803f59fa08df21b5df06862e2d8e2bdd/numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb", size = 21165245, upload-time = "2025-05-17T21:27:58.555Z" }, - { url = "https://files.pythonhosted.org/packages/22/c2/4b9221495b2a132cc9d2eb862e21d42a009f5a60e45fc44b00118c174bff/numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90", size = 14360048, upload-time = "2025-05-17T21:28:21.406Z" }, - { url = "https://files.pythonhosted.org/packages/fd/77/dc2fcfc66943c6410e2bf598062f5959372735ffda175b39906d54f02349/numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:37e990a01ae6ec7fe7fa1c26c55ecb672dd98b19c3d0e1d1f326fa13cb38d163", size = 5340542, upload-time = "2025-05-17T21:28:30.931Z" }, - { url = "https://files.pythonhosted.org/packages/7a/4f/1cb5fdc353a5f5cc7feb692db9b8ec2c3d6405453f982435efc52561df58/numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:5a6429d4be8ca66d889b7cf70f536a397dc45ba6faeb5f8c5427935d9592e9cf", size = 6878301, upload-time = "2025-05-17T21:28:41.613Z" }, - { url = "https://files.pythonhosted.org/packages/eb/17/96a3acd228cec142fcb8723bd3cc39c2a474f7dcf0a5d16731980bcafa95/numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efd28d4e9cd7d7a8d39074a4d44c63eda73401580c5c76acda2ce969e0a38e83", size = 14297320, upload-time = "2025-05-17T21:29:02.78Z" }, - { url = "https://files.pythonhosted.org/packages/b4/63/3de6a34ad7ad6646ac7d2f55ebc6ad439dbbf9c4370017c50cf403fb19b5/numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc7b73d02efb0e18c000e9ad8b83480dfcd5dfd11065997ed4c6747470ae8915", size = 16801050, upload-time = "2025-05-17T21:29:27.675Z" }, - { url = "https://files.pythonhosted.org/packages/07/b6/89d837eddef52b3d0cec5c6ba0456c1bf1b9ef6a6672fc2b7873c3ec4e2e/numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:74d4531beb257d2c3f4b261bfb0fc09e0f9ebb8842d82a7b4209415896adc680", size = 15807034, upload-time = "2025-05-17T21:29:51.102Z" }, - { url = "https://files.pythonhosted.org/packages/01/c8/dc6ae86e3c61cfec1f178e5c9f7858584049b6093f843bca541f94120920/numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8fc377d995680230e83241d8a96def29f204b5782f371c532579b4f20607a289", size = 18614185, upload-time = "2025-05-17T21:30:18.703Z" }, - { url = "https://files.pythonhosted.org/packages/5b/c5/0064b1b7e7c89137b471ccec1fd2282fceaae0ab3a9550f2568782d80357/numpy-2.2.6-cp310-cp310-win32.whl", hash = "sha256:b093dd74e50a8cba3e873868d9e93a85b78e0daf2e98c6797566ad8044e8363d", size = 6527149, upload-time = "2025-05-17T21:30:29.788Z" }, - { url = "https://files.pythonhosted.org/packages/a3/dd/4b822569d6b96c39d1215dbae0582fd99954dcbcf0c1a13c61783feaca3f/numpy-2.2.6-cp310-cp310-win_amd64.whl", hash = "sha256:f0fd6321b839904e15c46e0d257fdd101dd7f530fe03fd6359c1ea63738703f3", size = 12904620, upload-time = "2025-05-17T21:30:48.994Z" }, - { url = "https://files.pythonhosted.org/packages/da/a8/4f83e2aa666a9fbf56d6118faaaf5f1974d456b1823fda0a176eff722839/numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae", size = 21176963, upload-time = "2025-05-17T21:31:19.36Z" }, - { url = "https://files.pythonhosted.org/packages/b3/2b/64e1affc7972decb74c9e29e5649fac940514910960ba25cd9af4488b66c/numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a", size = 14406743, upload-time = "2025-05-17T21:31:41.087Z" }, - { url = "https://files.pythonhosted.org/packages/4a/9f/0121e375000b5e50ffdd8b25bf78d8e1a5aa4cca3f185d41265198c7b834/numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42", size = 5352616, upload-time = "2025-05-17T21:31:50.072Z" }, - { url = "https://files.pythonhosted.org/packages/31/0d/b48c405c91693635fbe2dcd7bc84a33a602add5f63286e024d3b6741411c/numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491", size = 6889579, upload-time = "2025-05-17T21:32:01.712Z" }, - { url = "https://files.pythonhosted.org/packages/52/b8/7f0554d49b565d0171eab6e99001846882000883998e7b7d9f0d98b1f934/numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a", size = 14312005, upload-time = "2025-05-17T21:32:23.332Z" }, - { url = "https://files.pythonhosted.org/packages/b3/dd/2238b898e51bd6d389b7389ffb20d7f4c10066d80351187ec8e303a5a475/numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf", size = 16821570, upload-time = "2025-05-17T21:32:47.991Z" }, - { url = "https://files.pythonhosted.org/packages/83/6c/44d0325722cf644f191042bf47eedad61c1e6df2432ed65cbe28509d404e/numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1", size = 15818548, upload-time = "2025-05-17T21:33:11.728Z" }, - { url = "https://files.pythonhosted.org/packages/ae/9d/81e8216030ce66be25279098789b665d49ff19eef08bfa8cb96d4957f422/numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab", size = 18620521, upload-time = "2025-05-17T21:33:39.139Z" }, - { url = "https://files.pythonhosted.org/packages/6a/fd/e19617b9530b031db51b0926eed5345ce8ddc669bb3bc0044b23e275ebe8/numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47", size = 6525866, upload-time = "2025-05-17T21:33:50.273Z" }, - { url = "https://files.pythonhosted.org/packages/31/0a/f354fb7176b81747d870f7991dc763e157a934c717b67b58456bc63da3df/numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303", size = 12907455, upload-time = "2025-05-17T21:34:09.135Z" }, - { url = "https://files.pythonhosted.org/packages/82/5d/c00588b6cf18e1da539b45d3598d3557084990dcc4331960c15ee776ee41/numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff", size = 20875348, upload-time = "2025-05-17T21:34:39.648Z" }, - { url = "https://files.pythonhosted.org/packages/66/ee/560deadcdde6c2f90200450d5938f63a34b37e27ebff162810f716f6a230/numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c", size = 14119362, upload-time = "2025-05-17T21:35:01.241Z" }, - { url = "https://files.pythonhosted.org/packages/3c/65/4baa99f1c53b30adf0acd9a5519078871ddde8d2339dc5a7fde80d9d87da/numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3", size = 5084103, upload-time = "2025-05-17T21:35:10.622Z" }, - { url = "https://files.pythonhosted.org/packages/cc/89/e5a34c071a0570cc40c9a54eb472d113eea6d002e9ae12bb3a8407fb912e/numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282", size = 6625382, upload-time = "2025-05-17T21:35:21.414Z" }, - { url = "https://files.pythonhosted.org/packages/f8/35/8c80729f1ff76b3921d5c9487c7ac3de9b2a103b1cd05e905b3090513510/numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87", size = 14018462, upload-time = "2025-05-17T21:35:42.174Z" }, - { url = "https://files.pythonhosted.org/packages/8c/3d/1e1db36cfd41f895d266b103df00ca5b3cbe965184df824dec5c08c6b803/numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249", size = 16527618, upload-time = "2025-05-17T21:36:06.711Z" }, - { url = "https://files.pythonhosted.org/packages/61/c6/03ed30992602c85aa3cd95b9070a514f8b3c33e31124694438d88809ae36/numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49", size = 15505511, upload-time = "2025-05-17T21:36:29.965Z" }, - { url = "https://files.pythonhosted.org/packages/b7/25/5761d832a81df431e260719ec45de696414266613c9ee268394dd5ad8236/numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de", size = 18313783, upload-time = "2025-05-17T21:36:56.883Z" }, - { url = "https://files.pythonhosted.org/packages/57/0a/72d5a3527c5ebffcd47bde9162c39fae1f90138c961e5296491ce778e682/numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4", size = 6246506, upload-time = "2025-05-17T21:37:07.368Z" }, - { url = "https://files.pythonhosted.org/packages/36/fa/8c9210162ca1b88529ab76b41ba02d433fd54fecaf6feb70ef9f124683f1/numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2", size = 12614190, upload-time = "2025-05-17T21:37:26.213Z" }, - { url = "https://files.pythonhosted.org/packages/9e/3b/d94a75f4dbf1ef5d321523ecac21ef23a3cd2ac8b78ae2aac40873590229/numpy-2.2.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0b605b275d7bd0c640cad4e5d30fa701a8d59302e127e5f79138ad62762c3e3d", size = 21040391, upload-time = "2025-05-17T21:44:35.948Z" }, - { url = "https://files.pythonhosted.org/packages/17/f4/09b2fa1b58f0fb4f7c7963a1649c64c4d315752240377ed74d9cd878f7b5/numpy-2.2.6-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:7befc596a7dc9da8a337f79802ee8adb30a552a94f792b9c9d18c840055907db", size = 6786754, upload-time = "2025-05-17T21:44:47.446Z" }, - { url = "https://files.pythonhosted.org/packages/af/30/feba75f143bdc868a1cc3f44ccfa6c4b9ec522b36458e738cd00f67b573f/numpy-2.2.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce47521a4754c8f4593837384bd3424880629f718d87c5d44f8ed763edd63543", size = 16643476, upload-time = "2025-05-17T21:45:11.871Z" }, - { url = "https://files.pythonhosted.org/packages/37/48/ac2a9584402fb6c0cd5b5d1a91dcf176b15760130dd386bbafdbfe3640bf/numpy-2.2.6-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d042d24c90c41b54fd506da306759e06e568864df8ec17ccc17e9e884634fd00", size = 12812666, upload-time = "2025-05-17T21:45:31.426Z" }, -] - -[[package]] -name = "numpy" -version = "2.3.5" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", -] -sdist = { url = "https://files.pythonhosted.org/packages/76/65/21b3bc86aac7b8f2862db1e808f1ea22b028e30a225a34a5ede9bf8678f2/numpy-2.3.5.tar.gz", hash = "sha256:784db1dcdab56bf0517743e746dfb0f885fc68d948aba86eeec2cba234bdf1c0", size = 20584950, upload-time = "2025-11-16T22:52:42.067Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/43/77/84dd1d2e34d7e2792a236ba180b5e8fcc1e3e414e761ce0253f63d7f572e/numpy-2.3.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:de5672f4a7b200c15a4127042170a694d4df43c992948f5e1af57f0174beed10", size = 17034641, upload-time = "2025-11-16T22:49:19.336Z" }, - { url = "https://files.pythonhosted.org/packages/2a/ea/25e26fa5837106cde46ae7d0b667e20f69cbbc0efd64cba8221411ab26ae/numpy-2.3.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:acfd89508504a19ed06ef963ad544ec6664518c863436306153e13e94605c218", size = 12528324, upload-time = "2025-11-16T22:49:22.582Z" }, - { url = "https://files.pythonhosted.org/packages/4d/1a/e85f0eea4cf03d6a0228f5c0256b53f2df4bc794706e7df019fc622e47f1/numpy-2.3.5-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:ffe22d2b05504f786c867c8395de703937f934272eb67586817b46188b4ded6d", size = 5356872, upload-time = "2025-11-16T22:49:25.408Z" }, - { url = "https://files.pythonhosted.org/packages/5c/bb/35ef04afd567f4c989c2060cde39211e4ac5357155c1833bcd1166055c61/numpy-2.3.5-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:872a5cf366aec6bb1147336480fef14c9164b154aeb6542327de4970282cd2f5", size = 6893148, upload-time = "2025-11-16T22:49:27.549Z" }, - { url = "https://files.pythonhosted.org/packages/f2/2b/05bbeb06e2dff5eab512dfc678b1cc5ee94d8ac5956a0885c64b6b26252b/numpy-2.3.5-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3095bdb8dd297e5920b010e96134ed91d852d81d490e787beca7e35ae1d89cf7", size = 14557282, upload-time = "2025-11-16T22:49:30.964Z" }, - { url = "https://files.pythonhosted.org/packages/65/fb/2b23769462b34398d9326081fad5655198fcf18966fcb1f1e49db44fbf31/numpy-2.3.5-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8cba086a43d54ca804ce711b2a940b16e452807acebe7852ff327f1ecd49b0d4", size = 16897903, upload-time = "2025-11-16T22:49:34.191Z" }, - { url = "https://files.pythonhosted.org/packages/ac/14/085f4cf05fc3f1e8aa95e85404e984ffca9b2275a5dc2b1aae18a67538b8/numpy-2.3.5-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6cf9b429b21df6b99f4dee7a1218b8b7ffbbe7df8764dc0bd60ce8a0708fed1e", size = 16341672, upload-time = "2025-11-16T22:49:37.2Z" }, - { url = "https://files.pythonhosted.org/packages/6f/3b/1f73994904142b2aa290449b3bb99772477b5fd94d787093e4f24f5af763/numpy-2.3.5-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:396084a36abdb603546b119d96528c2f6263921c50df3c8fd7cb28873a237748", size = 18838896, upload-time = "2025-11-16T22:49:39.727Z" }, - { url = "https://files.pythonhosted.org/packages/cd/b9/cf6649b2124f288309ffc353070792caf42ad69047dcc60da85ee85fea58/numpy-2.3.5-cp311-cp311-win32.whl", hash = "sha256:b0c7088a73aef3d687c4deef8452a3ac7c1be4e29ed8bf3b366c8111128ac60c", size = 6563608, upload-time = "2025-11-16T22:49:42.079Z" }, - { url = "https://files.pythonhosted.org/packages/aa/44/9fe81ae1dcc29c531843852e2874080dc441338574ccc4306b39e2ff6e59/numpy-2.3.5-cp311-cp311-win_amd64.whl", hash = "sha256:a414504bef8945eae5f2d7cb7be2d4af77c5d1cb5e20b296c2c25b61dff2900c", size = 13078442, upload-time = "2025-11-16T22:49:43.99Z" }, - { url = "https://files.pythonhosted.org/packages/6d/a7/f99a41553d2da82a20a2f22e93c94f928e4490bb447c9ff3c4ff230581d3/numpy-2.3.5-cp311-cp311-win_arm64.whl", hash = "sha256:0cd00b7b36e35398fa2d16af7b907b65304ef8bb4817a550e06e5012929830fa", size = 10458555, upload-time = "2025-11-16T22:49:47.092Z" }, - { url = "https://files.pythonhosted.org/packages/44/37/e669fe6cbb2b96c62f6bbedc6a81c0f3b7362f6a59230b23caa673a85721/numpy-2.3.5-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:74ae7b798248fe62021dbf3c914245ad45d1a6b0cb4a29ecb4b31d0bfbc4cc3e", size = 16733873, upload-time = "2025-11-16T22:49:49.84Z" }, - { url = "https://files.pythonhosted.org/packages/c5/65/df0db6c097892c9380851ab9e44b52d4f7ba576b833996e0080181c0c439/numpy-2.3.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ee3888d9ff7c14604052b2ca5535a30216aa0a58e948cdd3eeb8d3415f638769", size = 12259838, upload-time = "2025-11-16T22:49:52.863Z" }, - { url = "https://files.pythonhosted.org/packages/5b/e1/1ee06e70eb2136797abe847d386e7c0e830b67ad1d43f364dd04fa50d338/numpy-2.3.5-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:612a95a17655e213502f60cfb9bf9408efdc9eb1d5f50535cc6eb365d11b42b5", size = 5088378, upload-time = "2025-11-16T22:49:55.055Z" }, - { url = "https://files.pythonhosted.org/packages/6d/9c/1ca85fb86708724275103b81ec4cf1ac1d08f465368acfc8da7ab545bdae/numpy-2.3.5-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:3101e5177d114a593d79dd79658650fe28b5a0d8abeb8ce6f437c0e6df5be1a4", size = 6628559, upload-time = "2025-11-16T22:49:57.371Z" }, - { url = "https://files.pythonhosted.org/packages/74/78/fcd41e5a0ce4f3f7b003da85825acddae6d7ecb60cf25194741b036ca7d6/numpy-2.3.5-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8b973c57ff8e184109db042c842423ff4f60446239bd585a5131cc47f06f789d", size = 14250702, upload-time = "2025-11-16T22:49:59.632Z" }, - { url = "https://files.pythonhosted.org/packages/b6/23/2a1b231b8ff672b4c450dac27164a8b2ca7d9b7144f9c02d2396518352eb/numpy-2.3.5-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0d8163f43acde9a73c2a33605353a4f1bc4798745a8b1d73183b28e5b435ae28", size = 16606086, upload-time = "2025-11-16T22:50:02.127Z" }, - { url = "https://files.pythonhosted.org/packages/a0/c5/5ad26fbfbe2012e190cc7d5003e4d874b88bb18861d0829edc140a713021/numpy-2.3.5-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:51c1e14eb1e154ebd80e860722f9e6ed6ec89714ad2db2d3aa33c31d7c12179b", size = 16025985, upload-time = "2025-11-16T22:50:04.536Z" }, - { url = "https://files.pythonhosted.org/packages/d2/fa/dd48e225c46c819288148d9d060b047fd2a6fb1eb37eae25112ee4cb4453/numpy-2.3.5-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b46b4ec24f7293f23adcd2d146960559aaf8020213de8ad1909dba6c013bf89c", size = 18542976, upload-time = "2025-11-16T22:50:07.557Z" }, - { url = "https://files.pythonhosted.org/packages/05/79/ccbd23a75862d95af03d28b5c6901a1b7da4803181513d52f3b86ed9446e/numpy-2.3.5-cp312-cp312-win32.whl", hash = "sha256:3997b5b3c9a771e157f9aae01dd579ee35ad7109be18db0e85dbdbe1de06e952", size = 6285274, upload-time = "2025-11-16T22:50:10.746Z" }, - { url = "https://files.pythonhosted.org/packages/2d/57/8aeaf160312f7f489dea47ab61e430b5cb051f59a98ae68b7133ce8fa06a/numpy-2.3.5-cp312-cp312-win_amd64.whl", hash = "sha256:86945f2ee6d10cdfd67bcb4069c1662dd711f7e2a4343db5cecec06b87cf31aa", size = 12782922, upload-time = "2025-11-16T22:50:12.811Z" }, - { url = "https://files.pythonhosted.org/packages/78/a6/aae5cc2ca78c45e64b9ef22f089141d661516856cf7c8a54ba434576900d/numpy-2.3.5-cp312-cp312-win_arm64.whl", hash = "sha256:f28620fe26bee16243be2b7b874da327312240a7cdc38b769a697578d2100013", size = 10194667, upload-time = "2025-11-16T22:50:16.16Z" }, - { url = "https://files.pythonhosted.org/packages/c6/65/f9dea8e109371ade9c782b4e4756a82edf9d3366bca495d84d79859a0b79/numpy-2.3.5-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:f0963b55cdd70fad460fa4c1341f12f976bb26cb66021a5580329bd498988310", size = 16910689, upload-time = "2025-11-16T22:52:23.247Z" }, - { url = "https://files.pythonhosted.org/packages/00/4f/edb00032a8fb92ec0a679d3830368355da91a69cab6f3e9c21b64d0bb986/numpy-2.3.5-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:f4255143f5160d0de972d28c8f9665d882b5f61309d8362fdd3e103cf7bf010c", size = 12457053, upload-time = "2025-11-16T22:52:26.367Z" }, - { url = "https://files.pythonhosted.org/packages/16/a4/e8a53b5abd500a63836a29ebe145fc1ab1f2eefe1cfe59276020373ae0aa/numpy-2.3.5-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:a4b9159734b326535f4dd01d947f919c6eefd2d9827466a696c44ced82dfbc18", size = 5285635, upload-time = "2025-11-16T22:52:29.266Z" }, - { url = "https://files.pythonhosted.org/packages/a3/2f/37eeb9014d9c8b3e9c55bc599c68263ca44fdbc12a93e45a21d1d56df737/numpy-2.3.5-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:2feae0d2c91d46e59fcd62784a3a83b3fb677fead592ce51b5a6fbb4f95965ff", size = 6801770, upload-time = "2025-11-16T22:52:31.421Z" }, - { url = "https://files.pythonhosted.org/packages/7d/e4/68d2f474df2cb671b2b6c2986a02e520671295647dad82484cde80ca427b/numpy-2.3.5-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ffac52f28a7849ad7576293c0cb7b9f08304e8f7d738a8cb8a90ec4c55a998eb", size = 14391768, upload-time = "2025-11-16T22:52:33.593Z" }, - { url = "https://files.pythonhosted.org/packages/b8/50/94ccd8a2b141cb50651fddd4f6a48874acb3c91c8f0842b08a6afc4b0b21/numpy-2.3.5-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:63c0e9e7eea69588479ebf4a8a270d5ac22763cc5854e9a7eae952a3908103f7", size = 16729263, upload-time = "2025-11-16T22:52:36.369Z" }, - { url = "https://files.pythonhosted.org/packages/2d/ee/346fa473e666fe14c52fcdd19ec2424157290a032d4c41f98127bfb31ac7/numpy-2.3.5-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:f16417ec91f12f814b10bafe79ef77e70113a2f5f7018640e7425ff979253425", size = 12967213, upload-time = "2025-11-16T22:52:39.38Z" }, +version = "2.4.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d7/9f/b8cef5bffa569759033adda9481211426f12f53299629b410340795c2514/numpy-2.4.4.tar.gz", hash = "sha256:2d390634c5182175533585cc89f3608a4682ccb173cc9bb940b2881c8d6f8fa0", size = 20731587, upload-time = "2026-03-29T13:22:01.298Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ef/c6/4218570d8c8ecc9704b5157a3348e486e84ef4be0ed3e38218ab473c83d2/numpy-2.4.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f983334aea213c99992053ede6168500e5f086ce74fbc4acc3f2b00f5762e9db", size = 16976799, upload-time = "2026-03-29T13:18:15.438Z" }, + { url = "https://files.pythonhosted.org/packages/dd/92/b4d922c4a5f5dab9ed44e6153908a5c665b71acf183a83b93b690996e39b/numpy-2.4.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:72944b19f2324114e9dc86a159787333b77874143efcf89a5167ef83cfee8af0", size = 14971552, upload-time = "2026-03-29T13:18:18.606Z" }, + { url = "https://files.pythonhosted.org/packages/8a/dc/df98c095978fa6ee7b9a9387d1d58cbb3d232d0e69ad169a4ce784bde4fd/numpy-2.4.4-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:86b6f55f5a352b48d7fbfd2dbc3d5b780b2d79f4d3c121f33eb6efb22e9a2015", size = 5476566, upload-time = "2026-03-29T13:18:21.532Z" }, + { url = "https://files.pythonhosted.org/packages/28/34/b3fdcec6e725409223dd27356bdf5a3c2cc2282e428218ecc9cb7acc9763/numpy-2.4.4-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:ba1f4fc670ed79f876f70082eff4f9583c15fb9a4b89d6188412de4d18ae2f40", size = 6806482, upload-time = "2026-03-29T13:18:23.634Z" }, + { url = "https://files.pythonhosted.org/packages/68/62/63417c13aa35d57bee1337c67446761dc25ea6543130cf868eace6e8157b/numpy-2.4.4-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a87ec22c87be071b6bdbd27920b129b94f2fc964358ce38f3822635a3e2e03d", size = 15973376, upload-time = "2026-03-29T13:18:26.677Z" }, + { url = "https://files.pythonhosted.org/packages/cf/c5/9fcb7e0e69cef59cf10c746b84f7d58b08bc66a6b7d459783c5a4f6101a6/numpy-2.4.4-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:df3775294accfdd75f32c74ae39fcba920c9a378a2fc18a12b6820aa8c1fb502", size = 16925137, upload-time = "2026-03-29T13:18:30.14Z" }, + { url = "https://files.pythonhosted.org/packages/7e/43/80020edacb3f84b9efdd1591120a4296462c23fd8db0dde1666f6ef66f13/numpy-2.4.4-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:0d4e437e295f18ec29bc79daf55e8a47a9113df44d66f702f02a293d93a2d6dd", size = 17329414, upload-time = "2026-03-29T13:18:33.733Z" }, + { url = "https://files.pythonhosted.org/packages/fd/06/af0658593b18a5f73532d377188b964f239eb0894e664a6c12f484472f97/numpy-2.4.4-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6aa3236c78803afbcb255045fbef97a9e25a1f6c9888357d205ddc42f4d6eba5", size = 18658397, upload-time = "2026-03-29T13:18:37.511Z" }, + { url = "https://files.pythonhosted.org/packages/e6/ce/13a09ed65f5d0ce5c7dd0669250374c6e379910f97af2c08c57b0608eee4/numpy-2.4.4-cp311-cp311-win32.whl", hash = "sha256:30caa73029a225b2d40d9fae193e008e24b2026b7ee1a867b7ee8d96ca1a448e", size = 6239499, upload-time = "2026-03-29T13:18:40.372Z" }, + { url = "https://files.pythonhosted.org/packages/bd/63/05d193dbb4b5eec1eca73822d80da98b511f8328ad4ae3ca4caf0f4db91d/numpy-2.4.4-cp311-cp311-win_amd64.whl", hash = "sha256:6bbe4eb67390b0a0265a2c25458f6b90a409d5d069f1041e6aff1e27e3d9a79e", size = 12614257, upload-time = "2026-03-29T13:18:42.95Z" }, + { url = "https://files.pythonhosted.org/packages/87/c5/8168052f080c26fa984c413305012be54741c9d0d74abd7fbeeccae3889f/numpy-2.4.4-cp311-cp311-win_arm64.whl", hash = "sha256:fcfe2045fd2e8f3cb0ce9d4ba6dba6333b8fa05bb8a4939c908cd43322d14c7e", size = 10486775, upload-time = "2026-03-29T13:18:45.835Z" }, + { url = "https://files.pythonhosted.org/packages/28/05/32396bec30fb2263770ee910142f49c1476d08e8ad41abf8403806b520ce/numpy-2.4.4-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:15716cfef24d3a9762e3acdf87e27f58dc823d1348f765bbea6bef8c639bfa1b", size = 16689272, upload-time = "2026-03-29T13:18:49.223Z" }, + { url = "https://files.pythonhosted.org/packages/c5/f3/a983d28637bfcd763a9c7aafdb6d5c0ebf3d487d1e1459ffdb57e2f01117/numpy-2.4.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:23cbfd4c17357c81021f21540da84ee282b9c8fba38a03b7b9d09ba6b951421e", size = 14699573, upload-time = "2026-03-29T13:18:52.629Z" }, + { url = "https://files.pythonhosted.org/packages/9b/fd/e5ecca1e78c05106d98028114f5c00d3eddb41207686b2b7de3e477b0e22/numpy-2.4.4-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:8b3b60bb7cba2c8c81837661c488637eee696f59a877788a396d33150c35d842", size = 5204782, upload-time = "2026-03-29T13:18:55.579Z" }, + { url = "https://files.pythonhosted.org/packages/de/2f/702a4594413c1a8632092beae8aba00f1d67947389369b3777aed783fdca/numpy-2.4.4-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:e4a010c27ff6f210ff4c6ef34394cd61470d01014439b192ec22552ee867f2a8", size = 6552038, upload-time = "2026-03-29T13:18:57.769Z" }, + { url = "https://files.pythonhosted.org/packages/7f/37/eed308a8f56cba4d1fdf467a4fc67ef4ff4bf1c888f5fc980481890104b1/numpy-2.4.4-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f9e75681b59ddaa5e659898085ae0eaea229d054f2ac0c7e563a62205a700121", size = 15670666, upload-time = "2026-03-29T13:19:00.341Z" }, + { url = "https://files.pythonhosted.org/packages/0a/0d/0e3ecece05b7a7e87ab9fb587855548da437a061326fff64a223b6dcb78a/numpy-2.4.4-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:81f4a14bee47aec54f883e0cad2d73986640c1590eb9bfaaba7ad17394481e6e", size = 16645480, upload-time = "2026-03-29T13:19:03.63Z" }, + { url = "https://files.pythonhosted.org/packages/34/49/f2312c154b82a286758ee2f1743336d50651f8b5195db18cdb63675ff649/numpy-2.4.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:62d6b0f03b694173f9fcb1fb317f7222fd0b0b103e784c6549f5e53a27718c44", size = 17020036, upload-time = "2026-03-29T13:19:07.428Z" }, + { url = "https://files.pythonhosted.org/packages/7b/e9/736d17bd77f1b0ec4f9901aaec129c00d59f5d84d5e79bba540ef12c2330/numpy-2.4.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fbc356aae7adf9e6336d336b9c8111d390a05df88f1805573ebb0807bd06fd1d", size = 18368643, upload-time = "2026-03-29T13:19:10.775Z" }, + { url = "https://files.pythonhosted.org/packages/63/f6/d417977c5f519b17c8a5c3bc9e8304b0908b0e21136fe43bf628a1343914/numpy-2.4.4-cp312-cp312-win32.whl", hash = "sha256:0d35aea54ad1d420c812bfa0385c71cd7cc5bcf7c65fed95fc2cd02fe8c79827", size = 5961117, upload-time = "2026-03-29T13:19:13.464Z" }, + { url = "https://files.pythonhosted.org/packages/2d/5b/e1deebf88ff431b01b7406ca3583ab2bbb90972bbe1c568732e49c844f7e/numpy-2.4.4-cp312-cp312-win_amd64.whl", hash = "sha256:b5f0362dc928a6ecd9db58868fca5e48485205e3855957bdedea308f8672ea4a", size = 12320584, upload-time = "2026-03-29T13:19:16.155Z" }, + { url = "https://files.pythonhosted.org/packages/58/89/e4e856ac82a68c3ed64486a544977d0e7bdd18b8da75b78a577ca31c4395/numpy-2.4.4-cp312-cp312-win_arm64.whl", hash = "sha256:846300f379b5b12cc769334464656bc882e0735d27d9726568bc932fdc49d5ec", size = 10221450, upload-time = "2026-03-29T13:19:18.994Z" }, + { url = "https://files.pythonhosted.org/packages/14/1d/d0a583ce4fefcc3308806a749a536c201ed6b5ad6e1322e227ee4848979d/numpy-2.4.4-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:08f2e31ed5e6f04b118e49821397f12767934cfdd12a1ce86a058f91e004ee50", size = 16684933, upload-time = "2026-03-29T13:19:22.47Z" }, + { url = "https://files.pythonhosted.org/packages/c1/62/2b7a48fbb745d344742c0277f01286dead15f3f68e4f359fbfcf7b48f70f/numpy-2.4.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e823b8b6edc81e747526f70f71a9c0a07ac4e7ad13020aa736bb7c9d67196115", size = 14694532, upload-time = "2026-03-29T13:19:25.581Z" }, + { url = "https://files.pythonhosted.org/packages/e5/87/499737bfba066b4a3bebff24a8f1c5b2dee410b209bc6668c9be692580f0/numpy-2.4.4-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:4a19d9dba1a76618dd86b164d608566f393f8ec6ac7c44f0cc879011c45e65af", size = 5199661, upload-time = "2026-03-29T13:19:28.31Z" }, + { url = "https://files.pythonhosted.org/packages/cd/da/464d551604320d1491bc345efed99b4b7034143a85787aab78d5691d5a0e/numpy-2.4.4-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:d2a8490669bfe99a233298348acc2d824d496dee0e66e31b66a6022c2ad74a5c", size = 6547539, upload-time = "2026-03-29T13:19:30.97Z" }, + { url = "https://files.pythonhosted.org/packages/7d/90/8d23e3b0dafd024bf31bdec225b3bb5c2dbfa6912f8a53b8659f21216cbf/numpy-2.4.4-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:45dbed2ab436a9e826e302fcdcbe9133f9b0006e5af7168afb8963a6520da103", size = 15668806, upload-time = "2026-03-29T13:19:33.887Z" }, + { url = "https://files.pythonhosted.org/packages/d1/73/a9d864e42a01896bb5974475438f16086be9ba1f0d19d0bb7a07427c4a8b/numpy-2.4.4-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c901b15172510173f5cb310eae652908340f8dede90fff9e3bf6c0d8dfd92f83", size = 16632682, upload-time = "2026-03-29T13:19:37.336Z" }, + { url = "https://files.pythonhosted.org/packages/34/fb/14570d65c3bde4e202a031210475ae9cde9b7686a2e7dc97ee67d2833b35/numpy-2.4.4-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:99d838547ace2c4aace6c4f76e879ddfe02bb58a80c1549928477862b7a6d6ed", size = 17019810, upload-time = "2026-03-29T13:19:40.963Z" }, + { url = "https://files.pythonhosted.org/packages/8a/77/2ba9d87081fd41f6d640c83f26fb7351e536b7ce6dd9061b6af5904e8e46/numpy-2.4.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:0aec54fd785890ecca25a6003fd9a5aed47ad607bbac5cd64f836ad8666f4959", size = 18357394, upload-time = "2026-03-29T13:19:44.859Z" }, + { url = "https://files.pythonhosted.org/packages/a2/23/52666c9a41708b0853fa3b1a12c90da38c507a3074883823126d4e9d5b30/numpy-2.4.4-cp313-cp313-win32.whl", hash = "sha256:07077278157d02f65c43b1b26a3886bce886f95d20aabd11f87932750dfb14ed", size = 5959556, upload-time = "2026-03-29T13:19:47.661Z" }, + { url = "https://files.pythonhosted.org/packages/57/fb/48649b4971cde70d817cf97a2a2fdc0b4d8308569f1dd2f2611959d2e0cf/numpy-2.4.4-cp313-cp313-win_amd64.whl", hash = "sha256:5c70f1cc1c4efbe316a572e2d8b9b9cc44e89b95f79ca3331553fbb63716e2bf", size = 12317311, upload-time = "2026-03-29T13:19:50.67Z" }, + { url = "https://files.pythonhosted.org/packages/ba/d8/11490cddd564eb4de97b4579ef6bfe6a736cc07e94c1598590ae25415e01/numpy-2.4.4-cp313-cp313-win_arm64.whl", hash = "sha256:ef4059d6e5152fa1a39f888e344c73fdc926e1b2dd58c771d67b0acfbf2aa67d", size = 10222060, upload-time = "2026-03-29T13:19:54.229Z" }, + { url = "https://files.pythonhosted.org/packages/99/5d/dab4339177a905aad3e2221c915b35202f1ec30d750dd2e5e9d9a72b804b/numpy-2.4.4-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:4bbc7f303d125971f60ec0aaad5e12c62d0d2c925f0ab1273debd0e4ba37aba5", size = 14822302, upload-time = "2026-03-29T13:19:57.585Z" }, + { url = "https://files.pythonhosted.org/packages/eb/e4/0564a65e7d3d97562ed6f9b0fd0fb0a6f559ee444092f105938b50043876/numpy-2.4.4-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:4d6d57903571f86180eb98f8f0c839fa9ebbfb031356d87f1361be91e433f5b7", size = 5327407, upload-time = "2026-03-29T13:20:00.601Z" }, + { url = "https://files.pythonhosted.org/packages/29/8d/35a3a6ce5ad371afa58b4700f1c820f8f279948cca32524e0a695b0ded83/numpy-2.4.4-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:4636de7fd195197b7535f231b5de9e4b36d2c440b6e566d2e4e4746e6af0ca93", size = 6647631, upload-time = "2026-03-29T13:20:02.855Z" }, + { url = "https://files.pythonhosted.org/packages/f4/da/477731acbd5a58a946c736edfdabb2ac5b34c3d08d1ba1a7b437fa0884df/numpy-2.4.4-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ad2e2ef14e0b04e544ea2fa0a36463f847f113d314aa02e5b402fdf910ef309e", size = 15727691, upload-time = "2026-03-29T13:20:06.004Z" }, + { url = "https://files.pythonhosted.org/packages/e6/db/338535d9b152beabeb511579598418ba0212ce77cf9718edd70262cc4370/numpy-2.4.4-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5a285b3b96f951841799528cd1f4f01cd70e7e0204b4abebac9463eecfcf2a40", size = 16681241, upload-time = "2026-03-29T13:20:09.417Z" }, + { url = "https://files.pythonhosted.org/packages/e2/a9/ad248e8f58beb7a0219b413c9c7d8151c5d285f7f946c3e26695bdbbe2df/numpy-2.4.4-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:f8474c4241bc18b750be2abea9d7a9ec84f46ef861dbacf86a4f6e043401f79e", size = 17085767, upload-time = "2026-03-29T13:20:13.126Z" }, + { url = "https://files.pythonhosted.org/packages/b5/1a/3b88ccd3694681356f70da841630e4725a7264d6a885c8d442a697e1146b/numpy-2.4.4-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4e874c976154687c1f71715b034739b45c7711bec81db01914770373d125e392", size = 18403169, upload-time = "2026-03-29T13:20:17.096Z" }, + { url = "https://files.pythonhosted.org/packages/c2/c9/fcfd5d0639222c6eac7f304829b04892ef51c96a75d479214d77e3ce6e33/numpy-2.4.4-cp313-cp313t-win32.whl", hash = "sha256:9c585a1790d5436a5374bac930dad6ed244c046ed91b2b2a3634eb2971d21008", size = 6083477, upload-time = "2026-03-29T13:20:20.195Z" }, + { url = "https://files.pythonhosted.org/packages/d5/e3/3938a61d1c538aaec8ed6fd6323f57b0c2d2d2219512434c5c878db76553/numpy-2.4.4-cp313-cp313t-win_amd64.whl", hash = "sha256:93e15038125dc1e5345d9b5b68aa7f996ec33b98118d18c6ca0d0b7d6198b7e8", size = 12457487, upload-time = "2026-03-29T13:20:22.946Z" }, + { url = "https://files.pythonhosted.org/packages/97/6a/7e345032cc60501721ef94e0e30b60f6b0bd601f9174ebd36389a2b86d40/numpy-2.4.4-cp313-cp313t-win_arm64.whl", hash = "sha256:0dfd3f9d3adbe2920b68b5cd3d51444e13a10792ec7154cd0a2f6e74d4ab3233", size = 10292002, upload-time = "2026-03-29T13:20:25.909Z" }, + { url = "https://files.pythonhosted.org/packages/6e/06/c54062f85f673dd5c04cbe2f14c3acb8c8b95e3384869bb8cc9bff8cb9df/numpy-2.4.4-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:f169b9a863d34f5d11b8698ead99febeaa17a13ca044961aa8e2662a6c7766a0", size = 16684353, upload-time = "2026-03-29T13:20:29.504Z" }, + { url = "https://files.pythonhosted.org/packages/4c/39/8a320264a84404c74cc7e79715de85d6130fa07a0898f67fb5cd5bd79908/numpy-2.4.4-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:2483e4584a1cb3092da4470b38866634bafb223cbcd551ee047633fd2584599a", size = 14704914, upload-time = "2026-03-29T13:20:33.547Z" }, + { url = "https://files.pythonhosted.org/packages/91/fb/287076b2614e1d1044235f50f03748f31fa287e3dbe6abeb35cdfa351eca/numpy-2.4.4-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:2d19e6e2095506d1736b7d80595e0f252d76b89f5e715c35e06e937679ea7d7a", size = 5210005, upload-time = "2026-03-29T13:20:36.45Z" }, + { url = "https://files.pythonhosted.org/packages/63/eb/fcc338595309910de6ecabfcef2419a9ce24399680bfb149421fa2df1280/numpy-2.4.4-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:6a246d5914aa1c820c9443ddcee9c02bec3e203b0c080349533fae17727dfd1b", size = 6544974, upload-time = "2026-03-29T13:20:39.014Z" }, + { url = "https://files.pythonhosted.org/packages/44/5d/e7e9044032a716cdfaa3fba27a8e874bf1c5f1912a1ddd4ed071bf8a14a6/numpy-2.4.4-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:989824e9faf85f96ec9c7761cd8d29c531ad857bfa1daa930cba85baaecf1a9a", size = 15684591, upload-time = "2026-03-29T13:20:42.146Z" }, + { url = "https://files.pythonhosted.org/packages/98/7c/21252050676612625449b4807d6b695b9ce8a7c9e1c197ee6216c8a65c7c/numpy-2.4.4-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:27a8d92cd10f1382a67d7cf4db7ce18341b66438bdd9f691d7b0e48d104c2a9d", size = 16637700, upload-time = "2026-03-29T13:20:46.204Z" }, + { url = "https://files.pythonhosted.org/packages/b1/29/56d2bbef9465db24ef25393383d761a1af4f446a1df9b8cded4fe3a5a5d7/numpy-2.4.4-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:e44319a2953c738205bf3354537979eaa3998ed673395b964c1176083dd46252", size = 17035781, upload-time = "2026-03-29T13:20:50.242Z" }, + { url = "https://files.pythonhosted.org/packages/e3/2b/a35a6d7589d21f44cea7d0a98de5ddcbb3d421b2622a5c96b1edf18707c3/numpy-2.4.4-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:e892aff75639bbef0d2a2cfd55535510df26ff92f63c92cd84ef8d4ba5a5557f", size = 18362959, upload-time = "2026-03-29T13:20:54.019Z" }, + { url = "https://files.pythonhosted.org/packages/64/c9/d52ec581f2390e0f5f85cbfd80fb83d965fc15e9f0e1aec2195faa142cde/numpy-2.4.4-cp314-cp314-win32.whl", hash = "sha256:1378871da56ca8943c2ba674530924bb8ca40cd228358a3b5f302ad60cf875fc", size = 6008768, upload-time = "2026-03-29T13:20:56.912Z" }, + { url = "https://files.pythonhosted.org/packages/fa/22/4cc31a62a6c7b74a8730e31a4274c5dc80e005751e277a2ce38e675e4923/numpy-2.4.4-cp314-cp314-win_amd64.whl", hash = "sha256:715d1c092715954784bc79e1174fc2a90093dc4dc84ea15eb14dad8abdcdeb74", size = 12449181, upload-time = "2026-03-29T13:20:59.548Z" }, + { url = "https://files.pythonhosted.org/packages/70/2e/14cda6f4d8e396c612d1bf97f22958e92148801d7e4f110cabebdc0eef4b/numpy-2.4.4-cp314-cp314-win_arm64.whl", hash = "sha256:2c194dd721e54ecad9ad387c1d35e63dce5c4450c6dc7dd5611283dda239aabb", size = 10496035, upload-time = "2026-03-29T13:21:02.524Z" }, + { url = "https://files.pythonhosted.org/packages/b1/e8/8fed8c8d848d7ecea092dc3469643f9d10bc3a134a815a3b033da1d2039b/numpy-2.4.4-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:2aa0613a5177c264ff5921051a5719d20095ea586ca88cc802c5c218d1c67d3e", size = 14824958, upload-time = "2026-03-29T13:21:05.671Z" }, + { url = "https://files.pythonhosted.org/packages/05/1a/d8007a5138c179c2bf33ef44503e83d70434d2642877ee8fbb230e7c0548/numpy-2.4.4-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:42c16925aa5a02362f986765f9ebabf20de75cdefdca827d14315c568dcab113", size = 5330020, upload-time = "2026-03-29T13:21:08.635Z" }, + { url = "https://files.pythonhosted.org/packages/99/64/ffb99ac6ae93faf117bcbd5c7ba48a7f45364a33e8e458545d3633615dda/numpy-2.4.4-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:874f200b2a981c647340f841730fc3a2b54c9d940566a3c4149099591e2c4c3d", size = 6650758, upload-time = "2026-03-29T13:21:10.949Z" }, + { url = "https://files.pythonhosted.org/packages/6e/6e/795cc078b78a384052e73b2f6281ff7a700e9bf53bcce2ee579d4f6dd879/numpy-2.4.4-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c9b39d38a9bd2ae1becd7eac1303d031c5c110ad31f2b319c6e7d98b135c934d", size = 15729948, upload-time = "2026-03-29T13:21:14.047Z" }, + { url = "https://files.pythonhosted.org/packages/5f/86/2acbda8cc2af5f3d7bfc791192863b9e3e19674da7b5e533fded124d1299/numpy-2.4.4-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b268594bccac7d7cf5844c7732e3f20c50921d94e36d7ec9b79e9857694b1b2f", size = 16679325, upload-time = "2026-03-29T13:21:17.561Z" }, + { url = "https://files.pythonhosted.org/packages/bc/59/cafd83018f4aa55e0ac6fa92aa066c0a1877b77a615ceff1711c260ffae8/numpy-2.4.4-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:ac6b31e35612a26483e20750126d30d0941f949426974cace8e6b5c58a3657b0", size = 17084883, upload-time = "2026-03-29T13:21:21.106Z" }, + { url = "https://files.pythonhosted.org/packages/f0/85/a42548db84e65ece46ab2caea3d3f78b416a47af387fcbb47ec28e660dc2/numpy-2.4.4-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:8e3ed142f2728df44263aaf5fb1f5b0b99f4070c553a0d7f033be65338329150", size = 18403474, upload-time = "2026-03-29T13:21:24.828Z" }, + { url = "https://files.pythonhosted.org/packages/ed/ad/483d9e262f4b831000062e5d8a45e342166ec8aaa1195264982bca267e62/numpy-2.4.4-cp314-cp314t-win32.whl", hash = "sha256:dddbbd259598d7240b18c9d87c56a9d2fb3b02fe266f49a7c101532e78c1d871", size = 6155500, upload-time = "2026-03-29T13:21:28.205Z" }, + { url = "https://files.pythonhosted.org/packages/c7/03/2fc4e14c7bd4ff2964b74ba90ecb8552540b6315f201df70f137faa5c589/numpy-2.4.4-cp314-cp314t-win_amd64.whl", hash = "sha256:a7164afb23be6e37ad90b2f10426149fd75aee07ca55653d2aa41e66c4ef697e", size = 12637755, upload-time = "2026-03-29T13:21:31.107Z" }, + { url = "https://files.pythonhosted.org/packages/58/78/548fb8e07b1a341746bfbecb32f2c268470f45fa028aacdbd10d9bc73aab/numpy-2.4.4-cp314-cp314t-win_arm64.whl", hash = "sha256:ba203255017337d39f89bdd58417f03c4426f12beed0440cfd933cb15f8669c7", size = 10566643, upload-time = "2026-03-29T13:21:34.339Z" }, + { url = "https://files.pythonhosted.org/packages/6b/33/8fae8f964a4f63ed528264ddf25d2b683d0b663e3cba26961eb838a7c1bd/numpy-2.4.4-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:58c8b5929fcb8287cbd6f0a3fae19c6e03a5c48402ae792962ac465224a629a4", size = 16854491, upload-time = "2026-03-29T13:21:38.03Z" }, + { url = "https://files.pythonhosted.org/packages/bc/d0/1aabee441380b981cf8cdda3ae7a46aa827d1b5a8cce84d14598bc94d6d9/numpy-2.4.4-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:eea7ac5d2dce4189771cedb559c738a71512768210dc4e4753b107a2048b3d0e", size = 14895830, upload-time = "2026-03-29T13:21:41.509Z" }, + { url = "https://files.pythonhosted.org/packages/a5/b8/aafb0d1065416894fccf4df6b49ef22b8db045187949545bced89c034b8e/numpy-2.4.4-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:51fc224f7ca4d92656d5a5eb315f12eb5fe2c97a66249aa7b5f562528a3be38c", size = 5400927, upload-time = "2026-03-29T13:21:44.747Z" }, + { url = "https://files.pythonhosted.org/packages/d6/77/063baa20b08b431038c7f9ff5435540c7b7265c78cf56012a483019ca72d/numpy-2.4.4-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:28a650663f7314afc3e6ec620f44f333c386aad9f6fc472030865dc0ebb26ee3", size = 6715557, upload-time = "2026-03-29T13:21:47.406Z" }, + { url = "https://files.pythonhosted.org/packages/c7/a8/379542d45a14f149444c5c4c4e7714707239ce9cc1de8c2803958889da14/numpy-2.4.4-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:19710a9ca9992d7174e9c52f643d4272dcd1558c5f7af7f6f8190f633bd651a7", size = 15804253, upload-time = "2026-03-29T13:21:50.753Z" }, + { url = "https://files.pythonhosted.org/packages/a2/c8/f0a45426d6d21e7ea3310a15cf90c43a14d9232c31a837702dba437f3373/numpy-2.4.4-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9b2aec6af35c113b05695ebb5749a787acd63cafc83086a05771d1e1cd1e555f", size = 16753552, upload-time = "2026-03-29T13:21:54.344Z" }, + { url = "https://files.pythonhosted.org/packages/04/74/f4c001f4714c3ad9ce037e18cf2b9c64871a84951eaa0baf683a9ca9301c/numpy-2.4.4-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:f2cf083b324a467e1ab358c105f6cad5ea950f50524668a80c486ff1db24e119", size = 12509075, upload-time = "2026-03-29T13:21:57.644Z" }, ] [[package]] @@ -1457,8 +1612,7 @@ dependencies = [ { name = "jax" }, { name = "jaxlib" }, { name = "multipledispatch" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "tqdm" }, ] sdist = { url = "https://files.pythonhosted.org/packages/02/7c/5d1b55401b023b58f792483c71690315d4d5cd1653fd3631fa5bcbd68601/numpyro-0.19.0.tar.gz", hash = "sha256:bbf5b772a6ba8b7a79448fa6787afb069e5eb2dff8295078c3ec04d3e6276742", size = 404421, upload-time = "2025-08-05T10:26:33.055Z" } @@ -1528,15 +1682,15 @@ wheels = [ [[package]] name = "nvidia-cudnn-cu12" -version = "9.19.0.56" +version = "9.20.0.48" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "nvidia-cublas-cu12" }, ] wheels = [ - { url = "https://files.pythonhosted.org/packages/09/b8/277c51962ee46fa3e5b203ac5f76107c650f781d6891e681e28e6f3e9fe6/nvidia_cudnn_cu12-9.19.0.56-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:08caaf27fe556aca82a3ee3b5aa49a77e7de0cfcb7ff4e5c29da426387a8267e", size = 656910700, upload-time = "2026-02-03T20:40:25.508Z" }, - { url = "https://files.pythonhosted.org/packages/c5/41/65225d42fba06fb3dd3972485ea258e7dd07a40d6e01c95da6766ad87354/nvidia_cudnn_cu12-9.19.0.56-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:ac6ad90a075bb33a94f2b4cf4622eac13dd4dc65cf6dd9c7572a318516a36625", size = 657906812, upload-time = "2026-02-03T20:44:12.638Z" }, - { url = "https://files.pythonhosted.org/packages/a7/a5/48f07449fc9c6cc146dcafe6149fa5d69630137d2ec5b7d9e09f255fadd7/nvidia_cudnn_cu12-9.19.0.56-py3-none-win_amd64.whl", hash = "sha256:cec70596b9ce878fab83810c3f5a2e606d35f510e5fee579759e4cbc68a23750", size = 644003014, upload-time = "2026-02-03T20:46:25.768Z" }, + { url = "https://files.pythonhosted.org/packages/0c/77/1c382fdc5de163b2ff14d6174d12dc318c0a42302f5e3a4fbc5114ab0501/nvidia_cudnn_cu12-9.20.0.48-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:d9da9c15344323afae571751393552652c52486eab0b886530997bef664e29de", size = 664659972, upload-time = "2026-03-09T19:27:37.986Z" }, + { url = "https://files.pythonhosted.org/packages/3b/52/94aecda69df65ba1079a8b7dbe84632af5614dc0ed2c733185f6431874e3/nvidia_cudnn_cu12-9.20.0.48-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:7d7479e1321c7a039b33827f0247791ee1be091759032c1f66a287c4a643396a", size = 657910570, upload-time = "2026-03-09T19:28:58.944Z" }, + { url = "https://files.pythonhosted.org/packages/fe/ee/45ecd276f6ef2947d713e8c1a5232e55a15d727a44860aff8fc9c7c82d12/nvidia_cudnn_cu12-9.20.0.48-py3-none-win_amd64.whl", hash = "sha256:9cac47d5be5e5d84f53358fa688d41f2ae35e9a920c0e3eeb48bce4ada5460d9", size = 643997304, upload-time = "2026-03-09T19:30:46.034Z" }, ] [[package]] @@ -1582,11 +1736,11 @@ wheels = [ [[package]] name = "nvidia-nccl-cu12" -version = "2.29.3" +version = "2.29.7" source = { registry = "https://pypi.org/simple" } wheels = [ - { url = "https://files.pythonhosted.org/packages/28/cf/bcf8bb0c0030b1b9a345331f6281c37d2a8669758521eb93c382f6f87c8f/nvidia_nccl_cu12-2.29.3-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:6351b79dc7d2cc3d654ea1523616b9eeded71fe9c8da66b71eef9a5d1b2adad4", size = 289708535, upload-time = "2026-02-03T21:10:58.804Z" }, - { url = "https://files.pythonhosted.org/packages/31/5a/cac7d231f322b66caa16fd4b136ebc8e4b18b2805811c2d58dc47210cdea/nvidia_nccl_cu12-2.29.3-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:35ad42e7d5d722a83c36a3a478e281c20a5646383deaf1b9ed1a9ab7d61bed53", size = 289760316, upload-time = "2026-02-03T21:11:37.899Z" }, + { url = "https://files.pythonhosted.org/packages/20/cc/f48875411d1f176bce58e6343fd5d4131fc1db5420719ff25944bdc006c6/nvidia_nccl_cu12-2.29.7-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:0cf032ee22b560447daf0456108a75e32bd74a4de6c6b64725637a359fa48cd8", size = 293563644, upload-time = "2026-03-03T05:34:46.166Z" }, + { url = "https://files.pythonhosted.org/packages/31/1e/9e366f36efc550f07d6737f199e3f6bffafdf28795d007f10a77dd274f5c/nvidia_nccl_cu12-2.29.7-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:ecd0a012051abc20c1aa87328841efa8cade3ced65803046e38c2f03c0891fea", size = 293633942, upload-time = "2026-03-03T05:37:05.625Z" }, ] [[package]] @@ -1601,14 +1755,14 @@ wheels = [ [[package]] name = "nvidia-nvshmem-cu12" -version = "3.5.19" +version = "3.6.5" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "nvidia-cuda-cccl-cu12" }, ] wheels = [ - { url = "https://files.pythonhosted.org/packages/c7/1b/06a698b584b67670e7f108381ecdf680d3a497c0567f5183644034f4212e/nvidia_nvshmem_cu12-3.5.19-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:333d91f68038539f20a591ef4d5cee25a85d440537b31809c4e42ae1700fccce", size = 152515031, upload-time = "2026-01-02T04:24:25.119Z" }, - { url = "https://files.pythonhosted.org/packages/64/b9/6ab941001c23cfb43499b5b0b7417b0bb4dfba3a29ffa2b06985422dad50/nvidia_nvshmem_cu12-3.5.19-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f29a23c5ee75461ec4342e17757f9e010369ada8eb0d441070049db787d9e51b", size = 152681200, upload-time = "2026-01-02T04:24:46.524Z" }, + { url = "https://files.pythonhosted.org/packages/fb/da/bd8ae5201f8c5751ece31fe4fe489ece10fbcf5fcc1a595855b6459b6d6e/nvidia_nvshmem_cu12-3.6.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7b38521ff84cdfc68da3360fe249cfbabfe05ee9aa271458857476124b03a420", size = 153109548, upload-time = "2026-03-24T19:19:19.523Z" }, + { url = "https://files.pythonhosted.org/packages/9e/da/36fa8307cc40889307fed415d70b67d35ec330ffce889a9c03cf8f616cfa/nvidia_nvshmem_cu12-3.6.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f86db35f1ced21a790fa255dcae7db8998bf8655a95e76c033a6574190b398e4", size = 153270920, upload-time = "2026-03-24T19:19:42.626Z" }, ] [[package]] @@ -1631,18 +1785,17 @@ wheels = [ [[package]] name = "optax" -version = "0.2.7" +version = "0.2.8" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "absl-py" }, { name = "jax" }, { name = "jaxlib" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/de/f7/a63fc3d262d7a58d7d53050dea1408a63738739569af34f8f754cf181ab1/optax-0.2.7.tar.gz", hash = "sha256:8b6b2e5bd62bcc6c11f6172a1aff0d86da0eaeecbd5465b2b366b5d3d64f6efc", size = 297524, upload-time = "2026-02-05T20:49:28.749Z" } +sdist = { url = "https://files.pythonhosted.org/packages/8c/f9/e3d11ae6f298ee941a0690e353a323d158ba5dedc436e75621c310845c5c/optax-0.2.8.tar.gz", hash = "sha256:5b225b35066fc3eebaa4d798f1b4173b4d57d1a480610908981f8343b50af0b0", size = 301193, upload-time = "2026-03-20T23:30:05.465Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/b8/1e/94ad43e06887244b4d25f58b689122270ba3c129d3448052958eecf7518a/optax-0.2.7-py3-none-any.whl", hash = "sha256:241f2dfa104eab4fec2e16e7919f88df24a3da1481f95e264b3db396b30d4ff6", size = 399395, upload-time = "2026-02-05T20:49:26.883Z" }, + { url = "https://files.pythonhosted.org/packages/8a/69/6a93d8600c339d7687a05857c7907bd4dd8cf88691a5ea106d7a50af90a1/optax-0.2.8-py3-none-any.whl", hash = "sha256:e3ca2d36c99daab1800ae9dbc0545034382d6bc780b24d969e1b0df65fa31cb4", size = 402960, upload-time = "2026-03-20T23:30:03.886Z" }, ] [[package]] @@ -1659,21 +1812,13 @@ name = "pandas" version = "2.3.3" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "python-dateutil" }, { name = "pytz" }, { name = "tzdata" }, ] sdist = { url = "https://files.pythonhosted.org/packages/33/01/d40b85317f86cf08d853a4f495195c73815fdf205eef3993821720274518/pandas-2.3.3.tar.gz", hash = "sha256:e05e1af93b977f7eafa636d043f9f94c7ee3ac81af99c13508215942e64c993b", size = 4495223, upload-time = "2025-09-29T23:34:51.853Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/3d/f7/f425a00df4fcc22b292c6895c6831c0c8ae1d9fac1e024d16f98a9ce8749/pandas-2.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:376c6446ae31770764215a6c937f72d917f214b43560603cd60da6408f183b6c", size = 11555763, upload-time = "2025-09-29T23:16:53.287Z" }, - { url = "https://files.pythonhosted.org/packages/13/4f/66d99628ff8ce7857aca52fed8f0066ce209f96be2fede6cef9f84e8d04f/pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e19d192383eab2f4ceb30b412b22ea30690c9e618f78870357ae1d682912015a", size = 10801217, upload-time = "2025-09-29T23:17:04.522Z" }, - { url = "https://files.pythonhosted.org/packages/1d/03/3fc4a529a7710f890a239cc496fc6d50ad4a0995657dccc1d64695adb9f4/pandas-2.3.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5caf26f64126b6c7aec964f74266f435afef1c1b13da3b0636c7518a1fa3e2b1", size = 12148791, upload-time = "2025-09-29T23:17:18.444Z" }, - { url = "https://files.pythonhosted.org/packages/40/a8/4dac1f8f8235e5d25b9955d02ff6f29396191d4e665d71122c3722ca83c5/pandas-2.3.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dd7478f1463441ae4ca7308a70e90b33470fa593429f9d4c578dd00d1fa78838", size = 12769373, upload-time = "2025-09-29T23:17:35.846Z" }, - { url = "https://files.pythonhosted.org/packages/df/91/82cc5169b6b25440a7fc0ef3a694582418d875c8e3ebf796a6d6470aa578/pandas-2.3.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4793891684806ae50d1288c9bae9330293ab4e083ccd1c5e383c34549c6e4250", size = 13200444, upload-time = "2025-09-29T23:17:49.341Z" }, - { url = "https://files.pythonhosted.org/packages/10/ae/89b3283800ab58f7af2952704078555fa60c807fff764395bb57ea0b0dbd/pandas-2.3.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:28083c648d9a99a5dd035ec125d42439c6c1c525098c58af0fc38dd1a7a1b3d4", size = 13858459, upload-time = "2025-09-29T23:18:03.722Z" }, - { url = "https://files.pythonhosted.org/packages/85/72/530900610650f54a35a19476eca5104f38555afccda1aa11a92ee14cb21d/pandas-2.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:503cf027cf9940d2ceaa1a93cfb5f8c8c7e6e90720a2850378f0b3f3b1e06826", size = 11346086, upload-time = "2025-09-29T23:18:18.505Z" }, { url = "https://files.pythonhosted.org/packages/c1/fa/7ac648108144a095b4fb6aa3de1954689f7af60a14cf25583f4960ecb878/pandas-2.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:602b8615ebcc4a0c1751e71840428ddebeb142ec02c786e8ad6b1ce3c8dec523", size = 11578790, upload-time = "2025-09-29T23:18:30.065Z" }, { url = "https://files.pythonhosted.org/packages/9b/35/74442388c6cf008882d4d4bdfc4109be87e9b8b7ccd097ad1e7f006e2e95/pandas-2.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8fe25fc7b623b0ef6b5009149627e34d2a4657e880948ec3c840e9402e5c1b45", size = 10833831, upload-time = "2025-09-29T23:38:56.071Z" }, { url = "https://files.pythonhosted.org/packages/fe/e4/de154cbfeee13383ad58d23017da99390b91d73f8c11856f2095e813201b/pandas-2.3.3-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b468d3dad6ff947df92dcb32ede5b7bd41a9b3cceef0a30ed925f6d01fb8fa66", size = 12199267, upload-time = "2025-09-29T23:18:41.627Z" }, @@ -1688,6 +1833,32 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/a6/de/8b1895b107277d52f2b42d3a6806e69cfef0d5cf1d0ba343470b9d8e0a04/pandas-2.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a68e15f780eddf2b07d242e17a04aa187a7ee12b40b930bfdd78070556550e98", size = 12771002, upload-time = "2025-09-29T23:20:26.76Z" }, { url = "https://files.pythonhosted.org/packages/87/21/84072af3187a677c5893b170ba2c8fbe450a6ff911234916da889b698220/pandas-2.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:371a4ab48e950033bcf52b6527eccb564f52dc826c02afd9a1bc0ab731bba084", size = 13450971, upload-time = "2025-09-29T23:20:41.344Z" }, { url = "https://files.pythonhosted.org/packages/86/41/585a168330ff063014880a80d744219dbf1dd7a1c706e75ab3425a987384/pandas-2.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:a16dcec078a01eeef8ee61bf64074b4e524a2a3f4b3be9326420cabe59c4778b", size = 10992722, upload-time = "2025-09-29T23:20:54.139Z" }, + { url = "https://files.pythonhosted.org/packages/cd/4b/18b035ee18f97c1040d94debd8f2e737000ad70ccc8f5513f4eefad75f4b/pandas-2.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:56851a737e3470de7fa88e6131f41281ed440d29a9268dcbf0002da5ac366713", size = 11544671, upload-time = "2025-09-29T23:21:05.024Z" }, + { url = "https://files.pythonhosted.org/packages/31/94/72fac03573102779920099bcac1c3b05975c2cb5f01eac609faf34bed1ca/pandas-2.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bdcd9d1167f4885211e401b3036c0c8d9e274eee67ea8d0758a256d60704cfe8", size = 10680807, upload-time = "2025-09-29T23:21:15.979Z" }, + { url = "https://files.pythonhosted.org/packages/16/87/9472cf4a487d848476865321de18cc8c920b8cab98453ab79dbbc98db63a/pandas-2.3.3-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e32e7cc9af0f1cc15548288a51a3b681cc2a219faa838e995f7dc53dbab1062d", size = 11709872, upload-time = "2025-09-29T23:21:27.165Z" }, + { url = "https://files.pythonhosted.org/packages/15/07/284f757f63f8a8d69ed4472bfd85122bd086e637bf4ed09de572d575a693/pandas-2.3.3-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:318d77e0e42a628c04dc56bcef4b40de67918f7041c2b061af1da41dcff670ac", size = 12306371, upload-time = "2025-09-29T23:21:40.532Z" }, + { url = "https://files.pythonhosted.org/packages/33/81/a3afc88fca4aa925804a27d2676d22dcd2031c2ebe08aabd0ae55b9ff282/pandas-2.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4e0a175408804d566144e170d0476b15d78458795bb18f1304fb94160cabf40c", size = 12765333, upload-time = "2025-09-29T23:21:55.77Z" }, + { url = "https://files.pythonhosted.org/packages/8d/0f/b4d4ae743a83742f1153464cf1a8ecfafc3ac59722a0b5c8602310cb7158/pandas-2.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:93c2d9ab0fc11822b5eece72ec9587e172f63cff87c00b062f6e37448ced4493", size = 13418120, upload-time = "2025-09-29T23:22:10.109Z" }, + { url = "https://files.pythonhosted.org/packages/4f/c7/e54682c96a895d0c808453269e0b5928a07a127a15704fedb643e9b0a4c8/pandas-2.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:f8bfc0e12dc78f777f323f55c58649591b2cd0c43534e8355c51d3fede5f4dee", size = 10993991, upload-time = "2025-09-29T23:25:04.889Z" }, + { url = "https://files.pythonhosted.org/packages/f9/ca/3f8d4f49740799189e1395812f3bf23b5e8fc7c190827d55a610da72ce55/pandas-2.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:75ea25f9529fdec2d2e93a42c523962261e567d250b0013b16210e1d40d7c2e5", size = 12048227, upload-time = "2025-09-29T23:22:24.343Z" }, + { url = "https://files.pythonhosted.org/packages/0e/5a/f43efec3e8c0cc92c4663ccad372dbdff72b60bdb56b2749f04aa1d07d7e/pandas-2.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:74ecdf1d301e812db96a465a525952f4dde225fdb6d8e5a521d47e1f42041e21", size = 11411056, upload-time = "2025-09-29T23:22:37.762Z" }, + { url = "https://files.pythonhosted.org/packages/46/b1/85331edfc591208c9d1a63a06baa67b21d332e63b7a591a5ba42a10bb507/pandas-2.3.3-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6435cb949cb34ec11cc9860246ccb2fdc9ecd742c12d3304989017d53f039a78", size = 11645189, upload-time = "2025-09-29T23:22:51.688Z" }, + { url = "https://files.pythonhosted.org/packages/44/23/78d645adc35d94d1ac4f2a3c4112ab6f5b8999f4898b8cdf01252f8df4a9/pandas-2.3.3-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:900f47d8f20860de523a1ac881c4c36d65efcb2eb850e6948140fa781736e110", size = 12121912, upload-time = "2025-09-29T23:23:05.042Z" }, + { url = "https://files.pythonhosted.org/packages/53/da/d10013df5e6aaef6b425aa0c32e1fc1f3e431e4bcabd420517dceadce354/pandas-2.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a45c765238e2ed7d7c608fc5bc4a6f88b642f2f01e70c0c23d2224dd21829d86", size = 12712160, upload-time = "2025-09-29T23:23:28.57Z" }, + { url = "https://files.pythonhosted.org/packages/bd/17/e756653095a083d8a37cbd816cb87148debcfcd920129b25f99dd8d04271/pandas-2.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:c4fc4c21971a1a9f4bdb4c73978c7f7256caa3e62b323f70d6cb80db583350bc", size = 13199233, upload-time = "2025-09-29T23:24:24.876Z" }, + { url = "https://files.pythonhosted.org/packages/04/fd/74903979833db8390b73b3a8a7d30d146d710bd32703724dd9083950386f/pandas-2.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:ee15f284898e7b246df8087fc82b87b01686f98ee67d85a17b7ab44143a3a9a0", size = 11540635, upload-time = "2025-09-29T23:25:52.486Z" }, + { url = "https://files.pythonhosted.org/packages/21/00/266d6b357ad5e6d3ad55093a7e8efc7dd245f5a842b584db9f30b0f0a287/pandas-2.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1611aedd912e1ff81ff41c745822980c49ce4a7907537be8692c8dbc31924593", size = 10759079, upload-time = "2025-09-29T23:26:33.204Z" }, + { url = "https://files.pythonhosted.org/packages/ca/05/d01ef80a7a3a12b2f8bbf16daba1e17c98a2f039cbc8e2f77a2c5a63d382/pandas-2.3.3-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6d2cefc361461662ac48810cb14365a365ce864afe85ef1f447ff5a1e99ea81c", size = 11814049, upload-time = "2025-09-29T23:27:15.384Z" }, + { url = "https://files.pythonhosted.org/packages/15/b2/0e62f78c0c5ba7e3d2c5945a82456f4fac76c480940f805e0b97fcbc2f65/pandas-2.3.3-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ee67acbbf05014ea6c763beb097e03cd629961c8a632075eeb34247120abcb4b", size = 12332638, upload-time = "2025-09-29T23:27:51.625Z" }, + { url = "https://files.pythonhosted.org/packages/c5/33/dd70400631b62b9b29c3c93d2feee1d0964dc2bae2e5ad7a6c73a7f25325/pandas-2.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c46467899aaa4da076d5abc11084634e2d197e9460643dd455ac3db5856b24d6", size = 12886834, upload-time = "2025-09-29T23:28:21.289Z" }, + { url = "https://files.pythonhosted.org/packages/d3/18/b5d48f55821228d0d2692b34fd5034bb185e854bdb592e9c640f6290e012/pandas-2.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6253c72c6a1d990a410bc7de641d34053364ef8bcd3126f7e7450125887dffe3", size = 13409925, upload-time = "2025-09-29T23:28:58.261Z" }, + { url = "https://files.pythonhosted.org/packages/a6/3d/124ac75fcd0ecc09b8fdccb0246ef65e35b012030defb0e0eba2cbbbe948/pandas-2.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:1b07204a219b3b7350abaae088f451860223a52cfb8a6c53358e7948735158e5", size = 11109071, upload-time = "2025-09-29T23:32:27.484Z" }, + { url = "https://files.pythonhosted.org/packages/89/9c/0e21c895c38a157e0faa1fb64587a9226d6dd46452cac4532d80c3c4a244/pandas-2.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2462b1a365b6109d275250baaae7b760fd25c726aaca0054649286bcfbb3e8ec", size = 12048504, upload-time = "2025-09-29T23:29:31.47Z" }, + { url = "https://files.pythonhosted.org/packages/d7/82/b69a1c95df796858777b68fbe6a81d37443a33319761d7c652ce77797475/pandas-2.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:0242fe9a49aa8b4d78a4fa03acb397a58833ef6199e9aa40a95f027bb3a1b6e7", size = 11410702, upload-time = "2025-09-29T23:29:54.591Z" }, + { url = "https://files.pythonhosted.org/packages/f9/88/702bde3ba0a94b8c73a0181e05144b10f13f29ebfc2150c3a79062a8195d/pandas-2.3.3-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a21d830e78df0a515db2b3d2f5570610f5e6bd2e27749770e8bb7b524b89b450", size = 11634535, upload-time = "2025-09-29T23:30:21.003Z" }, + { url = "https://files.pythonhosted.org/packages/a4/1e/1bac1a839d12e6a82ec6cb40cda2edde64a2013a66963293696bbf31fbbb/pandas-2.3.3-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2e3ebdb170b5ef78f19bfb71b0dc5dc58775032361fa188e814959b74d726dd5", size = 12121582, upload-time = "2025-09-29T23:30:43.391Z" }, + { url = "https://files.pythonhosted.org/packages/44/91/483de934193e12a3b1d6ae7c8645d083ff88dec75f46e827562f1e4b4da6/pandas-2.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:d051c0e065b94b7a3cea50eb1ec32e912cd96dba41647eb24104b6c6c14c5788", size = 12699963, upload-time = "2025-09-29T23:31:10.009Z" }, + { url = "https://files.pythonhosted.org/packages/70/44/5191d2e4026f86a2a109053e194d3ba7a31a2d10a9c2348368c63ed4e85a/pandas-2.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:3869faf4bd07b3b66a9f462417d0ca3a9df29a9f6abd5d0d0dbab15dac7abe87", size = 13202175, upload-time = "2025-09-29T23:31:59.173Z" }, ] [[package]] @@ -1704,8 +1875,7 @@ name = "patsy" version = "1.0.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/be/44/ed13eccdd0519eff265f44b670d46fbb0ec813e2274932dc1c0e48520f7d/patsy-1.0.2.tar.gz", hash = "sha256:cdc995455f6233e90e22de72c37fcadb344e7586fb83f06696f54d92f8ce74c0", size = 399942, upload-time = "2025-10-20T16:17:37.535Z" } wheels = [ @@ -1726,59 +1896,98 @@ wheels = [ [[package]] name = "pillow" -version = "12.1.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/1f/42/5c74462b4fd957fcd7b13b04fb3205ff8349236ea74c7c375766d6c82288/pillow-12.1.1.tar.gz", hash = "sha256:9ad8fa5937ab05218e2b6a4cff30295ad35afd2f83ac592e68c0d871bb0fdbc4", size = 46980264, upload-time = "2026-02-11T04:23:07.146Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/1d/30/5bd3d794762481f8c8ae9c80e7b76ecea73b916959eb587521358ef0b2f9/pillow-12.1.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:1f1625b72740fdda5d77b4def688eb8fd6490975d06b909fd19f13f391e077e0", size = 5304099, upload-time = "2026-02-11T04:20:06.13Z" }, - { url = "https://files.pythonhosted.org/packages/bd/c1/aab9e8f3eeb4490180e357955e15c2ef74b31f64790ff356c06fb6cf6d84/pillow-12.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:178aa072084bd88ec759052feca8e56cbb14a60b39322b99a049e58090479713", size = 4657880, upload-time = "2026-02-11T04:20:09.291Z" }, - { url = "https://files.pythonhosted.org/packages/f1/0a/9879e30d56815ad529d3985aeff5af4964202425c27261a6ada10f7cbf53/pillow-12.1.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b66e95d05ba806247aaa1561f080abc7975daf715c30780ff92a20e4ec546e1b", size = 6222587, upload-time = "2026-02-11T04:20:10.82Z" }, - { url = "https://files.pythonhosted.org/packages/5a/5f/a1b72ff7139e4f89014e8d451442c74a774d5c43cd938fb0a9f878576b37/pillow-12.1.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:89c7e895002bbe49cdc5426150377cbbc04767d7547ed145473f496dfa40408b", size = 8027678, upload-time = "2026-02-11T04:20:12.455Z" }, - { url = "https://files.pythonhosted.org/packages/e2/c2/c7cb187dac79a3d22c3ebeae727abee01e077c8c7d930791dc592f335153/pillow-12.1.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a5cbdcddad0af3da87cb16b60d23648bc3b51967eb07223e9fed77a82b457c4", size = 6335777, upload-time = "2026-02-11T04:20:14.441Z" }, - { url = "https://files.pythonhosted.org/packages/0c/7b/f9b09a7804ec7336effb96c26d37c29d27225783dc1501b7d62dcef6ae25/pillow-12.1.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9f51079765661884a486727f0729d29054242f74b46186026582b4e4769918e4", size = 7027140, upload-time = "2026-02-11T04:20:16.387Z" }, - { url = "https://files.pythonhosted.org/packages/98/b2/2fa3c391550bd421b10849d1a2144c44abcd966daadd2f7c12e19ea988c4/pillow-12.1.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:99c1506ea77c11531d75e3a412832a13a71c7ebc8192ab9e4b2e355555920e3e", size = 6449855, upload-time = "2026-02-11T04:20:18.554Z" }, - { url = "https://files.pythonhosted.org/packages/96/ff/9caf4b5b950c669263c39e96c78c0d74a342c71c4f43fd031bb5cb7ceac9/pillow-12.1.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:36341d06738a9f66c8287cf8b876d24b18db9bd8740fa0672c74e259ad408cff", size = 7151329, upload-time = "2026-02-11T04:20:20.646Z" }, - { url = "https://files.pythonhosted.org/packages/7b/f8/4b24841f582704da675ca535935bccb32b00a6da1226820845fac4a71136/pillow-12.1.1-cp310-cp310-win32.whl", hash = "sha256:6c52f062424c523d6c4db85518774cc3d50f5539dd6eed32b8f6229b26f24d40", size = 6325574, upload-time = "2026-02-11T04:20:22.43Z" }, - { url = "https://files.pythonhosted.org/packages/f8/f9/9f6b01c0881d7036063aa6612ef04c0e2cad96be21325a1e92d0203f8e91/pillow-12.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:c6008de247150668a705a6338156efb92334113421ceecf7438a12c9a12dab23", size = 7032347, upload-time = "2026-02-11T04:20:23.932Z" }, - { url = "https://files.pythonhosted.org/packages/79/13/c7922edded3dcdaf10c59297540b72785620abc0538872c819915746757d/pillow-12.1.1-cp310-cp310-win_arm64.whl", hash = "sha256:1a9b0ee305220b392e1124a764ee4265bd063e54a751a6b62eff69992f457fa9", size = 2453457, upload-time = "2026-02-11T04:20:25.392Z" }, - { url = "https://files.pythonhosted.org/packages/2b/46/5da1ec4a5171ee7bf1a0efa064aba70ba3d6e0788ce3f5acd1375d23c8c0/pillow-12.1.1-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:e879bb6cd5c73848ef3b2b48b8af9ff08c5b71ecda8048b7dd22d8a33f60be32", size = 5304084, upload-time = "2026-02-11T04:20:27.501Z" }, - { url = "https://files.pythonhosted.org/packages/78/93/a29e9bc02d1cf557a834da780ceccd54e02421627200696fcf805ebdc3fb/pillow-12.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:365b10bb9417dd4498c0e3b128018c4a624dc11c7b97d8cc54effe3b096f4c38", size = 4657866, upload-time = "2026-02-11T04:20:29.827Z" }, - { url = "https://files.pythonhosted.org/packages/13/84/583a4558d492a179d31e4aae32eadce94b9acf49c0337c4ce0b70e0a01f2/pillow-12.1.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d4ce8e329c93845720cd2014659ca67eac35f6433fd3050393d85f3ecef0dad5", size = 6232148, upload-time = "2026-02-11T04:20:31.329Z" }, - { url = "https://files.pythonhosted.org/packages/d5/e2/53c43334bbbb2d3b938978532fbda8e62bb6e0b23a26ce8592f36bcc4987/pillow-12.1.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc354a04072b765eccf2204f588a7a532c9511e8b9c7f900e1b64e3e33487090", size = 8038007, upload-time = "2026-02-11T04:20:34.225Z" }, - { url = "https://files.pythonhosted.org/packages/b8/a6/3d0e79c8a9d58150dd98e199d7c1c56861027f3829a3a60b3c2784190180/pillow-12.1.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7e7976bf1910a8116b523b9f9f58bf410f3e8aa330cd9a2bb2953f9266ab49af", size = 6345418, upload-time = "2026-02-11T04:20:35.858Z" }, - { url = "https://files.pythonhosted.org/packages/a2/c8/46dfeac5825e600579157eea177be43e2f7ff4a99da9d0d0a49533509ac5/pillow-12.1.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:597bd9c8419bc7c6af5604e55847789b69123bbe25d65cc6ad3012b4f3c98d8b", size = 7034590, upload-time = "2026-02-11T04:20:37.91Z" }, - { url = "https://files.pythonhosted.org/packages/af/bf/e6f65d3db8a8bbfeaf9e13cc0417813f6319863a73de934f14b2229ada18/pillow-12.1.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:2c1fc0f2ca5f96a3c8407e41cca26a16e46b21060fe6d5b099d2cb01412222f5", size = 6458655, upload-time = "2026-02-11T04:20:39.496Z" }, - { url = "https://files.pythonhosted.org/packages/f9/c2/66091f3f34a25894ca129362e510b956ef26f8fb67a0e6417bc5744e56f1/pillow-12.1.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:578510d88c6229d735855e1f278aa305270438d36a05031dfaae5067cc8eb04d", size = 7159286, upload-time = "2026-02-11T04:20:41.139Z" }, - { url = "https://files.pythonhosted.org/packages/7b/5a/24bc8eb526a22f957d0cec6243146744966d40857e3d8deb68f7902ca6c1/pillow-12.1.1-cp311-cp311-win32.whl", hash = "sha256:7311c0a0dcadb89b36b7025dfd8326ecfa36964e29913074d47382706e516a7c", size = 6328663, upload-time = "2026-02-11T04:20:43.184Z" }, - { url = "https://files.pythonhosted.org/packages/31/03/bef822e4f2d8f9d7448c133d0a18185d3cce3e70472774fffefe8b0ed562/pillow-12.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:fbfa2a7c10cc2623f412753cddf391c7f971c52ca40a3f65dc5039b2939e8563", size = 7031448, upload-time = "2026-02-11T04:20:44.696Z" }, - { url = "https://files.pythonhosted.org/packages/49/70/f76296f53610bd17b2e7d31728b8b7825e3ac3b5b3688b51f52eab7c0818/pillow-12.1.1-cp311-cp311-win_arm64.whl", hash = "sha256:b81b5e3511211631b3f672a595e3221252c90af017e399056d0faabb9538aa80", size = 2453651, upload-time = "2026-02-11T04:20:46.243Z" }, - { url = "https://files.pythonhosted.org/packages/07/d3/8df65da0d4df36b094351dce696f2989bec731d4f10e743b1c5f4da4d3bf/pillow-12.1.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ab323b787d6e18b3d91a72fc99b1a2c28651e4358749842b8f8dfacd28ef2052", size = 5262803, upload-time = "2026-02-11T04:20:47.653Z" }, - { url = "https://files.pythonhosted.org/packages/d6/71/5026395b290ff404b836e636f51d7297e6c83beceaa87c592718747e670f/pillow-12.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:adebb5bee0f0af4909c30db0d890c773d1a92ffe83da908e2e9e720f8edf3984", size = 4657601, upload-time = "2026-02-11T04:20:49.328Z" }, - { url = "https://files.pythonhosted.org/packages/b1/2e/1001613d941c67442f745aff0f7cc66dd8df9a9c084eb497e6a543ee6f7e/pillow-12.1.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:bb66b7cc26f50977108790e2456b7921e773f23db5630261102233eb355a3b79", size = 6234995, upload-time = "2026-02-11T04:20:51.032Z" }, - { url = "https://files.pythonhosted.org/packages/07/26/246ab11455b2549b9233dbd44d358d033a2f780fa9007b61a913c5b2d24e/pillow-12.1.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:aee2810642b2898bb187ced9b349e95d2a7272930796e022efaf12e99dccd293", size = 8045012, upload-time = "2026-02-11T04:20:52.882Z" }, - { url = "https://files.pythonhosted.org/packages/b2/8b/07587069c27be7535ac1fe33874e32de118fbd34e2a73b7f83436a88368c/pillow-12.1.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a0b1cd6232e2b618adcc54d9882e4e662a089d5768cd188f7c245b4c8c44a397", size = 6349638, upload-time = "2026-02-11T04:20:54.444Z" }, - { url = "https://files.pythonhosted.org/packages/ff/79/6df7b2ee763d619cda2fb4fea498e5f79d984dae304d45a8999b80d6cf5c/pillow-12.1.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7aac39bcf8d4770d089588a2e1dd111cbaa42df5a94be3114222057d68336bd0", size = 7041540, upload-time = "2026-02-11T04:20:55.97Z" }, - { url = "https://files.pythonhosted.org/packages/2c/5e/2ba19e7e7236d7529f4d873bdaf317a318896bac289abebd4bb00ef247f0/pillow-12.1.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ab174cd7d29a62dd139c44bf74b698039328f45cb03b4596c43473a46656b2f3", size = 6462613, upload-time = "2026-02-11T04:20:57.542Z" }, - { url = "https://files.pythonhosted.org/packages/03/03/31216ec124bb5c3dacd74ce8efff4cc7f52643653bad4825f8f08c697743/pillow-12.1.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:339ffdcb7cbeaa08221cd401d517d4b1fe7a9ed5d400e4a8039719238620ca35", size = 7166745, upload-time = "2026-02-11T04:20:59.196Z" }, - { url = "https://files.pythonhosted.org/packages/1f/e7/7c4552d80052337eb28653b617eafdef39adfb137c49dd7e831b8dc13bc5/pillow-12.1.1-cp312-cp312-win32.whl", hash = "sha256:5d1f9575a12bed9e9eedd9a4972834b08c97a352bd17955ccdebfeca5913fa0a", size = 6328823, upload-time = "2026-02-11T04:21:01.385Z" }, - { url = "https://files.pythonhosted.org/packages/3d/17/688626d192d7261bbbf98846fc98995726bddc2c945344b65bec3a29d731/pillow-12.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:21329ec8c96c6e979cd0dfd29406c40c1d52521a90544463057d2aaa937d66a6", size = 7033367, upload-time = "2026-02-11T04:21:03.536Z" }, - { url = "https://files.pythonhosted.org/packages/ed/fe/a0ef1f73f939b0eca03ee2c108d0043a87468664770612602c63266a43c4/pillow-12.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:af9a332e572978f0218686636610555ae3defd1633597be015ed50289a03c523", size = 2453811, upload-time = "2026-02-11T04:21:05.116Z" }, - { url = "https://files.pythonhosted.org/packages/56/11/5d43209aa4cb58e0cc80127956ff1796a68b928e6324bbf06ef4db34367b/pillow-12.1.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:600fd103672b925fe62ed08e0d874ea34d692474df6f4bf7ebe148b30f89f39f", size = 5228606, upload-time = "2026-02-11T04:22:52.106Z" }, - { url = "https://files.pythonhosted.org/packages/5f/d5/3b005b4e4fda6698b371fa6c21b097d4707585d7db99e98d9b0b87ac612a/pillow-12.1.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:665e1b916b043cef294bc54d47bf02d87e13f769bc4bc5fa225a24b3a6c5aca9", size = 4622321, upload-time = "2026-02-11T04:22:53.827Z" }, - { url = "https://files.pythonhosted.org/packages/df/36/ed3ea2d594356fd8037e5a01f6156c74bc8d92dbb0fa60746cc96cabb6e8/pillow-12.1.1-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:495c302af3aad1ca67420ddd5c7bd480c8867ad173528767d906428057a11f0e", size = 5247579, upload-time = "2026-02-11T04:22:56.094Z" }, - { url = "https://files.pythonhosted.org/packages/54/9a/9cc3e029683cf6d20ae5085da0dafc63148e3252c2f13328e553aaa13cfb/pillow-12.1.1-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8fd420ef0c52c88b5a035a0886f367748c72147b2b8f384c9d12656678dfdfa9", size = 6989094, upload-time = "2026-02-11T04:22:58.288Z" }, - { url = "https://files.pythonhosted.org/packages/00/98/fc53ab36da80b88df0967896b6c4b4cd948a0dc5aa40a754266aa3ae48b3/pillow-12.1.1-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f975aa7ef9684ce7e2c18a3aa8f8e2106ce1e46b94ab713d156b2898811651d3", size = 5313850, upload-time = "2026-02-11T04:23:00.554Z" }, - { url = "https://files.pythonhosted.org/packages/30/02/00fa585abfd9fe9d73e5f6e554dc36cc2b842898cbfc46d70353dae227f8/pillow-12.1.1-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8089c852a56c2966cf18835db62d9b34fef7ba74c726ad943928d494fa7f4735", size = 5963343, upload-time = "2026-02-11T04:23:02.934Z" }, - { url = "https://files.pythonhosted.org/packages/f2/26/c56ce33ca856e358d27fda9676c055395abddb82c35ac0f593877ed4562e/pillow-12.1.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:cb9bb857b2d057c6dfc72ac5f3b44836924ba15721882ef103cecb40d002d80e", size = 7029880, upload-time = "2026-02-11T04:23:04.783Z" }, +version = "12.2.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/8c/21/c2bcdd5906101a30244eaffc1b6e6ce71a31bd0742a01eb89e660ebfac2d/pillow-12.2.0.tar.gz", hash = "sha256:a830b1a40919539d07806aa58e1b114df53ddd43213d9c8b75847eee6c0182b5", size = 46987819, upload-time = "2026-04-01T14:46:17.687Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/68/e1/748f5663efe6edcfc4e74b2b93edfb9b8b99b67f21a854c3ae416500a2d9/pillow-12.2.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:8be29e59487a79f173507c30ddf57e733a357f67881430449bb32614075a40ab", size = 5354347, upload-time = "2026-04-01T14:42:44.255Z" }, + { url = "https://files.pythonhosted.org/packages/47/a1/d5ff69e747374c33a3b53b9f98cca7889fce1fd03d79cdc4e1bccc6c5a87/pillow-12.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:71cde9a1e1551df7d34a25462fc60325e8a11a82cc2e2f54578e5e9a1e153d65", size = 4695873, upload-time = "2026-04-01T14:42:46.452Z" }, + { url = "https://files.pythonhosted.org/packages/df/21/e3fbdf54408a973c7f7f89a23b2cb97a7ef30c61ab4142af31eee6aebc88/pillow-12.2.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f490f9368b6fc026f021db16d7ec2fbf7d89e2edb42e8ec09d2c60505f5729c7", size = 6280168, upload-time = "2026-04-01T14:42:49.228Z" }, + { url = "https://files.pythonhosted.org/packages/d3/f1/00b7278c7dd52b17ad4329153748f87b6756ec195ff786c2bdf12518337d/pillow-12.2.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8bd7903a5f2a4545f6fd5935c90058b89d30045568985a71c79f5fd6edf9b91e", size = 8088188, upload-time = "2026-04-01T14:42:51.735Z" }, + { url = "https://files.pythonhosted.org/packages/ad/cf/220a5994ef1b10e70e85748b75649d77d506499352be135a4989c957b701/pillow-12.2.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3997232e10d2920a68d25191392e3a4487d8183039e1c74c2297f00ed1c50705", size = 6394401, upload-time = "2026-04-01T14:42:54.343Z" }, + { url = "https://files.pythonhosted.org/packages/e9/bd/e51a61b1054f09437acfbc2ff9106c30d1eb76bc1453d428399946781253/pillow-12.2.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e74473c875d78b8e9d5da2a70f7099549f9eb37ded4e2f6a463e60125bccd176", size = 7079655, upload-time = "2026-04-01T14:42:56.954Z" }, + { url = "https://files.pythonhosted.org/packages/6b/3d/45132c57d5fb4b5744567c3817026480ac7fc3ce5d4c47902bc0e7f6f853/pillow-12.2.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:56a3f9c60a13133a98ecff6197af34d7824de9b7b38c3654861a725c970c197b", size = 6503105, upload-time = "2026-04-01T14:42:59.847Z" }, + { url = "https://files.pythonhosted.org/packages/7d/2e/9df2fc1e82097b1df3dce58dc43286aa01068e918c07574711fcc53e6fb4/pillow-12.2.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:90e6f81de50ad6b534cab6e5aef77ff6e37722b2f5d908686f4a5c9eba17a909", size = 7203402, upload-time = "2026-04-01T14:43:02.664Z" }, + { url = "https://files.pythonhosted.org/packages/bd/2e/2941e42858ebb67e50ae741473de81c2984e6eff7b397017623c676e2e8d/pillow-12.2.0-cp311-cp311-win32.whl", hash = "sha256:8c984051042858021a54926eb597d6ee3012393ce9c181814115df4c60b9a808", size = 6378149, upload-time = "2026-04-01T14:43:05.274Z" }, + { url = "https://files.pythonhosted.org/packages/69/42/836b6f3cd7f3e5fa10a1f1a5420447c17966044c8fbf589cc0452d5502db/pillow-12.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:6e6b2a0c538fc200b38ff9eb6628228b77908c319a005815f2dde585a0664b60", size = 7082626, upload-time = "2026-04-01T14:43:08.557Z" }, + { url = "https://files.pythonhosted.org/packages/c2/88/549194b5d6f1f494b485e493edc6693c0a16f4ada488e5bd974ed1f42fad/pillow-12.2.0-cp311-cp311-win_arm64.whl", hash = "sha256:9a8a34cc89c67a65ea7437ce257cea81a9dad65b29805f3ecee8c8fe8ff25ffe", size = 2463531, upload-time = "2026-04-01T14:43:10.743Z" }, + { url = "https://files.pythonhosted.org/packages/58/be/7482c8a5ebebbc6470b3eb791812fff7d5e0216c2be3827b30b8bb6603ed/pillow-12.2.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:2d192a155bbcec180f8564f693e6fd9bccff5a7af9b32e2e4bf8c9c69dbad6b5", size = 5308279, upload-time = "2026-04-01T14:43:13.246Z" }, + { url = "https://files.pythonhosted.org/packages/d8/95/0a351b9289c2b5cbde0bacd4a83ebc44023e835490a727b2a3bd60ddc0f4/pillow-12.2.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f3f40b3c5a968281fd507d519e444c35f0ff171237f4fdde090dd60699458421", size = 4695490, upload-time = "2026-04-01T14:43:15.584Z" }, + { url = "https://files.pythonhosted.org/packages/de/af/4e8e6869cbed569d43c416fad3dc4ecb944cb5d9492defaed89ddd6fe871/pillow-12.2.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:03e7e372d5240cc23e9f07deca4d775c0817bffc641b01e9c3af208dbd300987", size = 6284462, upload-time = "2026-04-01T14:43:18.268Z" }, + { url = "https://files.pythonhosted.org/packages/e9/9e/c05e19657fd57841e476be1ab46c4d501bffbadbafdc31a6d665f8b737b6/pillow-12.2.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b86024e52a1b269467a802258c25521e6d742349d760728092e1bc2d135b4d76", size = 8094744, upload-time = "2026-04-01T14:43:20.716Z" }, + { url = "https://files.pythonhosted.org/packages/2b/54/1789c455ed10176066b6e7e6da1b01e50e36f94ba584dc68d9eebfe9156d/pillow-12.2.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7371b48c4fa448d20d2714c9a1f775a81155050d383333e0a6c15b1123dda005", size = 6398371, upload-time = "2026-04-01T14:43:23.443Z" }, + { url = "https://files.pythonhosted.org/packages/43/e3/fdc657359e919462369869f1c9f0e973f353f9a9ee295a39b1fea8ee1a77/pillow-12.2.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:62f5409336adb0663b7caa0da5c7d9e7bdbaae9ce761d34669420c2a801b2780", size = 7087215, upload-time = "2026-04-01T14:43:26.758Z" }, + { url = "https://files.pythonhosted.org/packages/8b/f8/2f6825e441d5b1959d2ca5adec984210f1ec086435b0ed5f52c19b3b8a6e/pillow-12.2.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:01afa7cf67f74f09523699b4e88c73fb55c13346d212a59a2db1f86b0a63e8c5", size = 6509783, upload-time = "2026-04-01T14:43:29.56Z" }, + { url = "https://files.pythonhosted.org/packages/67/f9/029a27095ad20f854f9dba026b3ea6428548316e057e6fc3545409e86651/pillow-12.2.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fc3d34d4a8fbec3e88a79b92e5465e0f9b842b628675850d860b8bd300b159f5", size = 7212112, upload-time = "2026-04-01T14:43:32.091Z" }, + { url = "https://files.pythonhosted.org/packages/be/42/025cfe05d1be22dbfdb4f264fe9de1ccda83f66e4fc3aac94748e784af04/pillow-12.2.0-cp312-cp312-win32.whl", hash = "sha256:58f62cc0f00fd29e64b29f4fd923ffdb3859c9f9e6105bfc37ba1d08994e8940", size = 6378489, upload-time = "2026-04-01T14:43:34.601Z" }, + { url = "https://files.pythonhosted.org/packages/5d/7b/25a221d2c761c6a8ae21bfa3874988ff2583e19cf8a27bf2fee358df7942/pillow-12.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:7f84204dee22a783350679a0333981df803dac21a0190d706a50475e361c93f5", size = 7084129, upload-time = "2026-04-01T14:43:37.213Z" }, + { url = "https://files.pythonhosted.org/packages/10/e1/542a474affab20fd4a0f1836cb234e8493519da6b76899e30bcc5d990b8b/pillow-12.2.0-cp312-cp312-win_arm64.whl", hash = "sha256:af73337013e0b3b46f175e79492d96845b16126ddf79c438d7ea7ff27783a414", size = 2463612, upload-time = "2026-04-01T14:43:39.421Z" }, + { url = "https://files.pythonhosted.org/packages/4a/01/53d10cf0dbad820a8db274d259a37ba50b88b24768ddccec07355382d5ad/pillow-12.2.0-cp313-cp313-ios_13_0_arm64_iphoneos.whl", hash = "sha256:8297651f5b5679c19968abefd6bb84d95fe30ef712eb1b2d9b2d31ca61267f4c", size = 4100837, upload-time = "2026-04-01T14:43:41.506Z" }, + { url = "https://files.pythonhosted.org/packages/0f/98/f3a6657ecb698c937f6c76ee564882945f29b79bad496abcba0e84659ec5/pillow-12.2.0-cp313-cp313-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:50d8520da2a6ce0af445fa6d648c4273c3eeefbc32d7ce049f22e8b5c3daecc2", size = 4176528, upload-time = "2026-04-01T14:43:43.773Z" }, + { url = "https://files.pythonhosted.org/packages/69/bc/8986948f05e3ea490b8442ea1c1d4d990b24a7e43d8a51b2c7d8b1dced36/pillow-12.2.0-cp313-cp313-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:766cef22385fa1091258ad7e6216792b156dc16d8d3fa607e7545b2b72061f1c", size = 3640401, upload-time = "2026-04-01T14:43:45.87Z" }, + { url = "https://files.pythonhosted.org/packages/34/46/6c717baadcd62bc8ed51d238d521ab651eaa74838291bda1f86fe1f864c9/pillow-12.2.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:5d2fd0fa6b5d9d1de415060363433f28da8b1526c1c129020435e186794b3795", size = 5308094, upload-time = "2026-04-01T14:43:48.438Z" }, + { url = "https://files.pythonhosted.org/packages/71/43/905a14a8b17fdb1ccb58d282454490662d2cb89a6bfec26af6d3520da5ec/pillow-12.2.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:56b25336f502b6ed02e889f4ece894a72612fe885889a6e8c4c80239ff6e5f5f", size = 4695402, upload-time = "2026-04-01T14:43:51.292Z" }, + { url = "https://files.pythonhosted.org/packages/73/dd/42107efcb777b16fa0393317eac58f5b5cf30e8392e266e76e51cff28c3d/pillow-12.2.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f1c943e96e85df3d3478f7b691f229887e143f81fedab9b20205349ab04d73ed", size = 6280005, upload-time = "2026-04-01T14:43:54.242Z" }, + { url = "https://files.pythonhosted.org/packages/a8/68/b93e09e5e8549019e61acf49f65b1a8530765a7f812c77a7461bca7e4494/pillow-12.2.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:03f6fab9219220f041c74aeaa2939ff0062bd5c364ba9ce037197f4c6d498cd9", size = 8090669, upload-time = "2026-04-01T14:43:57.335Z" }, + { url = "https://files.pythonhosted.org/packages/4b/6e/3ccb54ce8ec4ddd1accd2d89004308b7b0b21c4ac3d20fa70af4760a4330/pillow-12.2.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5cdfebd752ec52bf5bb4e35d9c64b40826bc5b40a13df7c3cda20a2c03a0f5ed", size = 6395194, upload-time = "2026-04-01T14:43:59.864Z" }, + { url = "https://files.pythonhosted.org/packages/67/ee/21d4e8536afd1a328f01b359b4d3997b291ffd35a237c877b331c1c3b71c/pillow-12.2.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:eedf4b74eda2b5a4b2b2fb4c006d6295df3bf29e459e198c90ea48e130dc75c3", size = 7082423, upload-time = "2026-04-01T14:44:02.74Z" }, + { url = "https://files.pythonhosted.org/packages/78/5f/e9f86ab0146464e8c133fe85df987ed9e77e08b29d8d35f9f9f4d6f917ba/pillow-12.2.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:00a2865911330191c0b818c59103b58a5e697cae67042366970a6b6f1b20b7f9", size = 6505667, upload-time = "2026-04-01T14:44:05.381Z" }, + { url = "https://files.pythonhosted.org/packages/ed/1e/409007f56a2fdce61584fd3acbc2bbc259857d555196cedcadc68c015c82/pillow-12.2.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:1e1757442ed87f4912397c6d35a0db6a7b52592156014706f17658ff58bbf795", size = 7208580, upload-time = "2026-04-01T14:44:08.39Z" }, + { url = "https://files.pythonhosted.org/packages/23/c4/7349421080b12fb35414607b8871e9534546c128a11965fd4a7002ccfbee/pillow-12.2.0-cp313-cp313-win32.whl", hash = "sha256:144748b3af2d1b358d41286056d0003f47cb339b8c43a9ea42f5fea4d8c66b6e", size = 6375896, upload-time = "2026-04-01T14:44:11.197Z" }, + { url = "https://files.pythonhosted.org/packages/3f/82/8a3739a5e470b3c6cbb1d21d315800d8e16bff503d1f16b03a4ec3212786/pillow-12.2.0-cp313-cp313-win_amd64.whl", hash = "sha256:390ede346628ccc626e5730107cde16c42d3836b89662a115a921f28440e6a3b", size = 7081266, upload-time = "2026-04-01T14:44:13.947Z" }, + { url = "https://files.pythonhosted.org/packages/c3/25/f968f618a062574294592f668218f8af564830ccebdd1fa6200f598e65c5/pillow-12.2.0-cp313-cp313-win_arm64.whl", hash = "sha256:8023abc91fba39036dbce14a7d6535632f99c0b857807cbbbf21ecc9f4717f06", size = 2463508, upload-time = "2026-04-01T14:44:16.312Z" }, + { url = "https://files.pythonhosted.org/packages/4d/a4/b342930964e3cb4dce5038ae34b0eab4653334995336cd486c5a8c25a00c/pillow-12.2.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:042db20a421b9bafecc4b84a8b6e444686bd9d836c7fd24542db3e7df7baad9b", size = 5309927, upload-time = "2026-04-01T14:44:18.89Z" }, + { url = "https://files.pythonhosted.org/packages/9f/de/23198e0a65a9cf06123f5435a5d95cea62a635697f8f03d134d3f3a96151/pillow-12.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:dd025009355c926a84a612fecf58bb315a3f6814b17ead51a8e48d3823d9087f", size = 4698624, upload-time = "2026-04-01T14:44:21.115Z" }, + { url = "https://files.pythonhosted.org/packages/01/a6/1265e977f17d93ea37aa28aa81bad4fa597933879fac2520d24e021c8da3/pillow-12.2.0-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:88ddbc66737e277852913bd1e07c150cc7bb124539f94c4e2df5344494e0a612", size = 6321252, upload-time = "2026-04-01T14:44:23.663Z" }, + { url = "https://files.pythonhosted.org/packages/3c/83/5982eb4a285967baa70340320be9f88e57665a387e3a53a7f0db8231a0cd/pillow-12.2.0-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d362d1878f00c142b7e1a16e6e5e780f02be8195123f164edf7eddd911eefe7c", size = 8126550, upload-time = "2026-04-01T14:44:26.772Z" }, + { url = "https://files.pythonhosted.org/packages/4e/48/6ffc514adce69f6050d0753b1a18fd920fce8cac87620d5a31231b04bfc5/pillow-12.2.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2c727a6d53cb0018aadd8018c2b938376af27914a68a492f59dfcaca650d5eea", size = 6433114, upload-time = "2026-04-01T14:44:29.615Z" }, + { url = "https://files.pythonhosted.org/packages/36/a3/f9a77144231fb8d40ee27107b4463e205fa4677e2ca2548e14da5cf18dce/pillow-12.2.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:efd8c21c98c5cc60653bcb311bef2ce0401642b7ce9d09e03a7da87c878289d4", size = 7115667, upload-time = "2026-04-01T14:44:32.773Z" }, + { url = "https://files.pythonhosted.org/packages/c1/fc/ac4ee3041e7d5a565e1c4fd72a113f03b6394cc72ab7089d27608f8aaccb/pillow-12.2.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9f08483a632889536b8139663db60f6724bfcb443c96f1b18855860d7d5c0fd4", size = 6538966, upload-time = "2026-04-01T14:44:35.252Z" }, + { url = "https://files.pythonhosted.org/packages/c0/a8/27fb307055087f3668f6d0a8ccb636e7431d56ed0750e07a60547b1e083e/pillow-12.2.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:dac8d77255a37e81a2efcbd1fc05f1c15ee82200e6c240d7e127e25e365c39ea", size = 7238241, upload-time = "2026-04-01T14:44:37.875Z" }, + { url = "https://files.pythonhosted.org/packages/ad/4b/926ab182c07fccae9fcb120043464e1ff1564775ec8864f21a0ebce6ac25/pillow-12.2.0-cp313-cp313t-win32.whl", hash = "sha256:ee3120ae9dff32f121610bb08e4313be87e03efeadfc6c0d18f89127e24d0c24", size = 6379592, upload-time = "2026-04-01T14:44:40.336Z" }, + { url = "https://files.pythonhosted.org/packages/c2/c4/f9e476451a098181b30050cc4c9a3556b64c02cf6497ea421ac047e89e4b/pillow-12.2.0-cp313-cp313t-win_amd64.whl", hash = "sha256:325ca0528c6788d2a6c3d40e3568639398137346c3d6e66bb61db96b96511c98", size = 7085542, upload-time = "2026-04-01T14:44:43.251Z" }, + { url = "https://files.pythonhosted.org/packages/00/a4/285f12aeacbe2d6dc36c407dfbbe9e96d4a80b0fb710a337f6d2ad978c75/pillow-12.2.0-cp313-cp313t-win_arm64.whl", hash = "sha256:2e5a76d03a6c6dcef67edabda7a52494afa4035021a79c8558e14af25313d453", size = 2465765, upload-time = "2026-04-01T14:44:45.996Z" }, + { url = "https://files.pythonhosted.org/packages/bf/98/4595daa2365416a86cb0d495248a393dfc84e96d62ad080c8546256cb9c0/pillow-12.2.0-cp314-cp314-ios_13_0_arm64_iphoneos.whl", hash = "sha256:3adc9215e8be0448ed6e814966ecf3d9952f0ea40eb14e89a102b87f450660d8", size = 4100848, upload-time = "2026-04-01T14:44:48.48Z" }, + { url = "https://files.pythonhosted.org/packages/0b/79/40184d464cf89f6663e18dfcf7ca21aae2491fff1a16127681bf1fa9b8cf/pillow-12.2.0-cp314-cp314-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:6a9adfc6d24b10f89588096364cc726174118c62130c817c2837c60cf08a392b", size = 4176515, upload-time = "2026-04-01T14:44:51.353Z" }, + { url = "https://files.pythonhosted.org/packages/b0/63/703f86fd4c422a9cf722833670f4f71418fb116b2853ff7da722ea43f184/pillow-12.2.0-cp314-cp314-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:6a6e67ea2e6feda684ed370f9a1c52e7a243631c025ba42149a2cc5934dec295", size = 3640159, upload-time = "2026-04-01T14:44:53.588Z" }, + { url = "https://files.pythonhosted.org/packages/71/e0/fb22f797187d0be2270f83500aab851536101b254bfa1eae10795709d283/pillow-12.2.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:2bb4a8d594eacdfc59d9e5ad972aa8afdd48d584ffd5f13a937a664c3e7db0ed", size = 5312185, upload-time = "2026-04-01T14:44:56.039Z" }, + { url = "https://files.pythonhosted.org/packages/ba/8c/1a9e46228571de18f8e28f16fabdfc20212a5d019f3e3303452b3f0a580d/pillow-12.2.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:80b2da48193b2f33ed0c32c38140f9d3186583ce7d516526d462645fd98660ae", size = 4695386, upload-time = "2026-04-01T14:44:58.663Z" }, + { url = "https://files.pythonhosted.org/packages/70/62/98f6b7f0c88b9addd0e87c217ded307b36be024d4ff8869a812b241d1345/pillow-12.2.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:22db17c68434de69d8ecfc2fe821569195c0c373b25cccb9cbdacf2c6e53c601", size = 6280384, upload-time = "2026-04-01T14:45:01.5Z" }, + { url = "https://files.pythonhosted.org/packages/5e/03/688747d2e91cfbe0e64f316cd2e8005698f76ada3130d0194664174fa5de/pillow-12.2.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7b14cc0106cd9aecda615dd6903840a058b4700fcb817687d0ee4fc8b6e389be", size = 8091599, upload-time = "2026-04-01T14:45:04.5Z" }, + { url = "https://files.pythonhosted.org/packages/f6/35/577e22b936fcdd66537329b33af0b4ccfefaeabd8aec04b266528cddb33c/pillow-12.2.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8cbeb542b2ebc6fcdacabf8aca8c1a97c9b3ad3927d46b8723f9d4f033288a0f", size = 6396021, upload-time = "2026-04-01T14:45:07.117Z" }, + { url = "https://files.pythonhosted.org/packages/11/8d/d2532ad2a603ca2b93ad9f5135732124e57811d0168155852f37fbce2458/pillow-12.2.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4bfd07bc812fbd20395212969e41931001fd59eb55a60658b0e5710872e95286", size = 7083360, upload-time = "2026-04-01T14:45:09.763Z" }, + { url = "https://files.pythonhosted.org/packages/5e/26/d325f9f56c7e039034897e7380e9cc202b1e368bfd04d4cbe6a441f02885/pillow-12.2.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:9aba9a17b623ef750a4d11b742cbafffeb48a869821252b30ee21b5e91392c50", size = 6507628, upload-time = "2026-04-01T14:45:12.378Z" }, + { url = "https://files.pythonhosted.org/packages/5f/f7/769d5632ffb0988f1c5e7660b3e731e30f7f8ec4318e94d0a5d674eb65a4/pillow-12.2.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:deede7c263feb25dba4e82ea23058a235dcc2fe1f6021025dc71f2b618e26104", size = 7209321, upload-time = "2026-04-01T14:45:15.122Z" }, + { url = "https://files.pythonhosted.org/packages/6a/7a/c253e3c645cd47f1aceea6a8bacdba9991bf45bb7dfe927f7c893e89c93c/pillow-12.2.0-cp314-cp314-win32.whl", hash = "sha256:632ff19b2778e43162304d50da0181ce24ac5bb8180122cbe1bf4673428328c7", size = 6479723, upload-time = "2026-04-01T14:45:17.797Z" }, + { url = "https://files.pythonhosted.org/packages/cd/8b/601e6566b957ca50e28725cb6c355c59c2c8609751efbecd980db44e0349/pillow-12.2.0-cp314-cp314-win_amd64.whl", hash = "sha256:4e6c62e9d237e9b65fac06857d511e90d8461a32adcc1b9065ea0c0fa3a28150", size = 7217400, upload-time = "2026-04-01T14:45:20.529Z" }, + { url = "https://files.pythonhosted.org/packages/d6/94/220e46c73065c3e2951bb91c11a1fb636c8c9ad427ac3ce7d7f3359b9b2f/pillow-12.2.0-cp314-cp314-win_arm64.whl", hash = "sha256:b1c1fbd8a5a1af3412a0810d060a78b5136ec0836c8a4ef9aa11807f2a22f4e1", size = 2554835, upload-time = "2026-04-01T14:45:23.162Z" }, + { url = "https://files.pythonhosted.org/packages/b6/ab/1b426a3974cb0e7da5c29ccff4807871d48110933a57207b5a676cccc155/pillow-12.2.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:57850958fe9c751670e49b2cecf6294acc99e562531f4bd317fa5ddee2068463", size = 5314225, upload-time = "2026-04-01T14:45:25.637Z" }, + { url = "https://files.pythonhosted.org/packages/19/1e/dce46f371be2438eecfee2a1960ee2a243bbe5e961890146d2dee1ff0f12/pillow-12.2.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:d5d38f1411c0ed9f97bcb49b7bd59b6b7c314e0e27420e34d99d844b9ce3b6f3", size = 4698541, upload-time = "2026-04-01T14:45:28.355Z" }, + { url = "https://files.pythonhosted.org/packages/55/c3/7fbecf70adb3a0c33b77a300dc52e424dc22ad8cdc06557a2e49523b703d/pillow-12.2.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5c0a9f29ca8e79f09de89293f82fc9b0270bb4af1d58bc98f540cc4aedf03166", size = 6322251, upload-time = "2026-04-01T14:45:30.924Z" }, + { url = "https://files.pythonhosted.org/packages/1c/3c/7fbc17cfb7e4fe0ef1642e0abc17fc6c94c9f7a16be41498e12e2ba60408/pillow-12.2.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1610dd6c61621ae1cf811bef44d77e149ce3f7b95afe66a4512f8c59f25d9ebe", size = 8127807, upload-time = "2026-04-01T14:45:33.908Z" }, + { url = "https://files.pythonhosted.org/packages/ff/c3/a8ae14d6defd2e448493ff512fae903b1e9bd40b72efb6ec55ce0048c8ce/pillow-12.2.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0a34329707af4f73cf1782a36cd2289c0368880654a2c11f027bcee9052d35dd", size = 6433935, upload-time = "2026-04-01T14:45:36.623Z" }, + { url = "https://files.pythonhosted.org/packages/6e/32/2880fb3a074847ac159d8f902cb43278a61e85f681661e7419e6596803ed/pillow-12.2.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8e9c4f5b3c546fa3458a29ab22646c1c6c787ea8f5ef51300e5a60300736905e", size = 7116720, upload-time = "2026-04-01T14:45:39.258Z" }, + { url = "https://files.pythonhosted.org/packages/46/87/495cc9c30e0129501643f24d320076f4cc54f718341df18cc70ec94c44e1/pillow-12.2.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:fb043ee2f06b41473269765c2feae53fc2e2fbf96e5e22ca94fb5ad677856f06", size = 6540498, upload-time = "2026-04-01T14:45:41.879Z" }, + { url = "https://files.pythonhosted.org/packages/18/53/773f5edca692009d883a72211b60fdaf8871cbef075eaa9d577f0a2f989e/pillow-12.2.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:f278f034eb75b4e8a13a54a876cc4a5ab39173d2cdd93a638e1b467fc545ac43", size = 7239413, upload-time = "2026-04-01T14:45:44.705Z" }, + { url = "https://files.pythonhosted.org/packages/c9/e4/4b64a97d71b2a83158134abbb2f5bd3f8a2ea691361282f010998f339ec7/pillow-12.2.0-cp314-cp314t-win32.whl", hash = "sha256:6bb77b2dcb06b20f9f4b4a8454caa581cd4dd0643a08bacf821216a16d9c8354", size = 6482084, upload-time = "2026-04-01T14:45:47.568Z" }, + { url = "https://files.pythonhosted.org/packages/ba/13/306d275efd3a3453f72114b7431c877d10b1154014c1ebbedd067770d629/pillow-12.2.0-cp314-cp314t-win_amd64.whl", hash = "sha256:6562ace0d3fb5f20ed7290f1f929cae41b25ae29528f2af1722966a0a02e2aa1", size = 7225152, upload-time = "2026-04-01T14:45:50.032Z" }, + { url = "https://files.pythonhosted.org/packages/ff/6e/cf826fae916b8658848d7b9f38d88da6396895c676e8086fc0988073aaf8/pillow-12.2.0-cp314-cp314t-win_arm64.whl", hash = "sha256:aa88ccfe4e32d362816319ed727a004423aab09c5cea43c01a4b435643fa34eb", size = 2556579, upload-time = "2026-04-01T14:45:52.529Z" }, + { url = "https://files.pythonhosted.org/packages/4e/b7/2437044fb910f499610356d1352e3423753c98e34f915252aafecc64889f/pillow-12.2.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0538bd5e05efec03ae613fd89c4ce0368ecd2ba239cc25b9f9be7ed426b0af1f", size = 5273969, upload-time = "2026-04-01T14:45:55.538Z" }, + { url = "https://files.pythonhosted.org/packages/f6/f4/8316e31de11b780f4ac08ef3654a75555e624a98db1056ecb2122d008d5a/pillow-12.2.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:394167b21da716608eac917c60aa9b969421b5dcbbe02ae7f013e7b85811c69d", size = 4659674, upload-time = "2026-04-01T14:45:58.093Z" }, + { url = "https://files.pythonhosted.org/packages/d4/37/664fca7201f8bb2aa1d20e2c3d5564a62e6ae5111741966c8319ca802361/pillow-12.2.0-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5d04bfa02cc2d23b497d1e90a0f927070043f6cbf303e738300532379a4b4e0f", size = 5288479, upload-time = "2026-04-01T14:46:01.141Z" }, + { url = "https://files.pythonhosted.org/packages/49/62/5b0ed78fce87346be7a5cfcfaaad91f6a1f98c26f86bdbafa2066c647ef6/pillow-12.2.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0c838a5125cee37e68edec915651521191cef1e6aa336b855f495766e77a366e", size = 7032230, upload-time = "2026-04-01T14:46:03.874Z" }, + { url = "https://files.pythonhosted.org/packages/c3/28/ec0fc38107fc32536908034e990c47914c57cd7c5a3ece4d8d8f7ffd7e27/pillow-12.2.0-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4a6c9fa44005fa37a91ebfc95d081e8079757d2e904b27103f4f5fa6f0bf78c0", size = 5355404, upload-time = "2026-04-01T14:46:06.33Z" }, + { url = "https://files.pythonhosted.org/packages/5e/8b/51b0eddcfa2180d60e41f06bd6d0a62202b20b59c68f5a132e615b75aecf/pillow-12.2.0-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:25373b66e0dd5905ed63fa3cae13c82fbddf3079f2c8bf15c6fb6a35586324c1", size = 6002215, upload-time = "2026-04-01T14:46:08.83Z" }, + { url = "https://files.pythonhosted.org/packages/bc/60/5382c03e1970de634027cee8e1b7d39776b778b81812aaf45b694dfe9e28/pillow-12.2.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:bfa9c230d2fe991bed5318a5f119bd6780cda2915cca595393649fc118ab895e", size = 7080946, upload-time = "2026-04-01T14:46:11.734Z" }, ] [[package]] name = "platformdirs" -version = "4.9.2" +version = "4.9.4" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/1b/04/fea538adf7dbbd6d186f551d595961e564a3b6715bdf276b477460858672/platformdirs-4.9.2.tar.gz", hash = "sha256:9a33809944b9db043ad67ca0db94b14bf452cc6aeaac46a88ea55b26e2e9d291", size = 28394, upload-time = "2026-02-16T03:56:10.574Z" } +sdist = { url = "https://files.pythonhosted.org/packages/19/56/8d4c30c8a1d07013911a8fdbd8f89440ef9f08d07a1b50ab8ca8be5a20f9/platformdirs-4.9.4.tar.gz", hash = "sha256:1ec356301b7dc906d83f371c8f487070e99d3ccf9e501686456394622a01a934", size = 28737, upload-time = "2026-03-05T18:34:13.271Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/48/31/05e764397056194206169869b50cf2fee4dbbbc71b344705b9c0d878d4d8/platformdirs-4.9.2-py3-none-any.whl", hash = "sha256:9170634f126f8efdae22fb58ae8a0eaa86f38365bc57897a6c4f781d1f5875bd", size = 21168, upload-time = "2026-02-16T03:56:08.891Z" }, + { url = "https://files.pythonhosted.org/packages/63/d7/97f7e3a6abb67d8080dd406fd4df842c2be0efaf712d1c899c32a075027c/platformdirs-4.9.4-py3-none-any.whl", hash = "sha256:68a9a4619a666ea6439f2ff250c12a853cd1cbd5158d258bd824a7df6be2f868", size = 21216, upload-time = "2026-03-05T18:34:12.172Z" }, ] [[package]] @@ -1808,6 +2017,18 @@ version = "7.2.2" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/aa/c6/d1ddf4abb55e93cebc4f2ed8b5d6dbad109ecb8d63748dd2b20ab5e57ebe/psutil-7.2.2.tar.gz", hash = "sha256:0746f5f8d406af344fd547f1c8daa5f5c33dbc293bb8d6a16d80b4bb88f59372", size = 493740, upload-time = "2026-01-28T18:14:54.428Z" } wheels = [ + { url = "https://files.pythonhosted.org/packages/51/08/510cbdb69c25a96f4ae523f733cdc963ae654904e8db864c07585ef99875/psutil-7.2.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:2edccc433cbfa046b980b0df0171cd25bcaeb3a68fe9022db0979e7aa74a826b", size = 130595, upload-time = "2026-01-28T18:14:57.293Z" }, + { url = "https://files.pythonhosted.org/packages/d6/f5/97baea3fe7a5a9af7436301f85490905379b1c6f2dd51fe3ecf24b4c5fbf/psutil-7.2.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e78c8603dcd9a04c7364f1a3e670cea95d51ee865e4efb3556a3a63adef958ea", size = 131082, upload-time = "2026-01-28T18:14:59.732Z" }, + { url = "https://files.pythonhosted.org/packages/37/d6/246513fbf9fa174af531f28412297dd05241d97a75911ac8febefa1a53c6/psutil-7.2.2-cp313-cp313t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1a571f2330c966c62aeda00dd24620425d4b0cc86881c89861fbc04549e5dc63", size = 181476, upload-time = "2026-01-28T18:15:01.884Z" }, + { url = "https://files.pythonhosted.org/packages/b8/b5/9182c9af3836cca61696dabe4fd1304e17bc56cb62f17439e1154f225dd3/psutil-7.2.2-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:917e891983ca3c1887b4ef36447b1e0873e70c933afc831c6b6da078ba474312", size = 184062, upload-time = "2026-01-28T18:15:04.436Z" }, + { url = "https://files.pythonhosted.org/packages/16/ba/0756dca669f5a9300d0cbcbfae9a4c30e446dfc7440ffe43ded5724bfd93/psutil-7.2.2-cp313-cp313t-win_amd64.whl", hash = "sha256:ab486563df44c17f5173621c7b198955bd6b613fb87c71c161f827d3fb149a9b", size = 139893, upload-time = "2026-01-28T18:15:06.378Z" }, + { url = "https://files.pythonhosted.org/packages/1c/61/8fa0e26f33623b49949346de05ec1ddaad02ed8ba64af45f40a147dbfa97/psutil-7.2.2-cp313-cp313t-win_arm64.whl", hash = "sha256:ae0aefdd8796a7737eccea863f80f81e468a1e4cf14d926bd9b6f5f2d5f90ca9", size = 135589, upload-time = "2026-01-28T18:15:08.03Z" }, + { url = "https://files.pythonhosted.org/packages/81/69/ef179ab5ca24f32acc1dac0c247fd6a13b501fd5534dbae0e05a1c48b66d/psutil-7.2.2-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:eed63d3b4d62449571547b60578c5b2c4bcccc5387148db46e0c2313dad0ee00", size = 130664, upload-time = "2026-01-28T18:15:09.469Z" }, + { url = "https://files.pythonhosted.org/packages/7b/64/665248b557a236d3fa9efc378d60d95ef56dd0a490c2cd37dafc7660d4a9/psutil-7.2.2-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7b6d09433a10592ce39b13d7be5a54fbac1d1228ed29abc880fb23df7cb694c9", size = 131087, upload-time = "2026-01-28T18:15:11.724Z" }, + { url = "https://files.pythonhosted.org/packages/d5/2e/e6782744700d6759ebce3043dcfa661fb61e2fb752b91cdeae9af12c2178/psutil-7.2.2-cp314-cp314t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1fa4ecf83bcdf6e6c8f4449aff98eefb5d0604bf88cb883d7da3d8d2d909546a", size = 182383, upload-time = "2026-01-28T18:15:13.445Z" }, + { url = "https://files.pythonhosted.org/packages/57/49/0a41cefd10cb7505cdc04dab3eacf24c0c2cb158a998b8c7b1d27ee2c1f5/psutil-7.2.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e452c464a02e7dc7822a05d25db4cde564444a67e58539a00f929c51eddda0cf", size = 185210, upload-time = "2026-01-28T18:15:16.002Z" }, + { url = "https://files.pythonhosted.org/packages/dd/2c/ff9bfb544f283ba5f83ba725a3c5fec6d6b10b8f27ac1dc641c473dc390d/psutil-7.2.2-cp314-cp314t-win_amd64.whl", hash = "sha256:c7663d4e37f13e884d13994247449e9f8f574bc4655d509c3b95e9ec9e2b9dc1", size = 141228, upload-time = "2026-01-28T18:15:18.385Z" }, + { url = "https://files.pythonhosted.org/packages/f2/fc/f8d9c31db14fcec13748d373e668bc3bed94d9077dbc17fb0eebc073233c/psutil-7.2.2-cp314-cp314t-win_arm64.whl", hash = "sha256:11fe5a4f613759764e79c65cf11ebdf26e33d6dd34336f8a337aa2996d71c841", size = 136284, upload-time = "2026-01-28T18:15:19.912Z" }, { url = "https://files.pythonhosted.org/packages/e7/36/5ee6e05c9bd427237b11b3937ad82bb8ad2752d72c6969314590dd0c2f6e/psutil-7.2.2-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ed0cace939114f62738d808fdcecd4c869222507e266e574799e9c0faa17d486", size = 129090, upload-time = "2026-01-28T18:15:22.168Z" }, { url = "https://files.pythonhosted.org/packages/80/c4/f5af4c1ca8c1eeb2e92ccca14ce8effdeec651d5ab6053c589b074eda6e1/psutil-7.2.2-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:1a7b04c10f32cc88ab39cbf606e117fd74721c831c98a27dc04578deb0c16979", size = 129859, upload-time = "2026-01-28T18:15:23.795Z" }, { url = "https://files.pythonhosted.org/packages/b5/70/5d8df3b09e25bce090399cf48e452d25c935ab72dad19406c77f4e828045/psutil-7.2.2-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:076a2d2f923fd4821644f5ba89f059523da90dc9014e85f8e45a5774ca5bc6f9", size = 155560, upload-time = "2026-01-28T18:15:25.976Z" }, @@ -1838,11 +2059,11 @@ wheels = [ [[package]] name = "pybind11" -version = "3.0.2" +version = "3.0.3" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a5/98/9118a0659646f1628c592ef9bb48e0056efa6bf27c951fd12a178e0136fb/pybind11-3.0.2.tar.gz", hash = "sha256:432f01aeb68e361a3a7fc7575c2c7f497595bf640f747acd909ff238dd766e06", size = 577131, upload-time = "2026-02-17T04:46:52.556Z" } +sdist = { url = "https://files.pythonhosted.org/packages/41/50/b83d65efc1914681f5aded4ce37c703408a9bb74829f27f041560ca52ffb/pybind11-3.0.3.tar.gz", hash = "sha256:00471cdb816882c484708bc5dde80815c8c11cea540ab2cc6410f5ddea434755", size = 587814, upload-time = "2026-03-31T23:42:06.481Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/88/c5/e98d9c51f3d5300d5e40ad9037dd6b3b60736fd02ab68dcc98c96be7592d/pybind11-3.0.2-py3-none-any.whl", hash = "sha256:f8a6500548919cc33bcd220d5f984688326f574fa97f1107f2f4fdb4c6fb019f", size = 310158, upload-time = "2026-02-17T04:46:49.91Z" }, + { url = "https://files.pythonhosted.org/packages/ab/87/99f21e9b20899d6dc1bf7544cfe53e5fa17acc21bb267971a540425357d3/pybind11-3.0.3-py3-none-any.whl", hash = "sha256:fb5f8e4a64946b4dcc0451c83a8c384f803bc0a62dd1ba02f199e97dbc9aad4c", size = 313717, upload-time = "2026-03-31T23:42:04.814Z" }, ] [[package]] @@ -1878,19 +2099,6 @@ dependencies = [ ] sdist = { url = "https://files.pythonhosted.org/packages/71/70/23b021c950c2addd24ec408e9ab05d59b035b39d97cdc1130e1bce647bb6/pydantic_core-2.41.5.tar.gz", hash = "sha256:08daa51ea16ad373ffd5e7606252cc32f07bc72b28284b6bc9c6df804816476e", size = 460952, upload-time = "2025-11-04T13:43:49.098Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c6/90/32c9941e728d564b411d574d8ee0cf09b12ec978cb22b294995bae5549a5/pydantic_core-2.41.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:77b63866ca88d804225eaa4af3e664c5faf3568cea95360d21f4725ab6e07146", size = 2107298, upload-time = "2025-11-04T13:39:04.116Z" }, - { url = "https://files.pythonhosted.org/packages/fb/a8/61c96a77fe28993d9a6fb0f4127e05430a267b235a124545d79fea46dd65/pydantic_core-2.41.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dfa8a0c812ac681395907e71e1274819dec685fec28273a28905df579ef137e2", size = 1901475, upload-time = "2025-11-04T13:39:06.055Z" }, - { url = "https://files.pythonhosted.org/packages/5d/b6/338abf60225acc18cdc08b4faef592d0310923d19a87fba1faf05af5346e/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5921a4d3ca3aee735d9fd163808f5e8dd6c6972101e4adbda9a4667908849b97", size = 1918815, upload-time = "2025-11-04T13:39:10.41Z" }, - { url = "https://files.pythonhosted.org/packages/d1/1c/2ed0433e682983d8e8cba9c8d8ef274d4791ec6a6f24c58935b90e780e0a/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e25c479382d26a2a41b7ebea1043564a937db462816ea07afa8a44c0866d52f9", size = 2065567, upload-time = "2025-11-04T13:39:12.244Z" }, - { url = "https://files.pythonhosted.org/packages/b3/24/cf84974ee7d6eae06b9e63289b7b8f6549d416b5c199ca2d7ce13bbcf619/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f547144f2966e1e16ae626d8ce72b4cfa0caedc7fa28052001c94fb2fcaa1c52", size = 2230442, upload-time = "2025-11-04T13:39:13.962Z" }, - { url = "https://files.pythonhosted.org/packages/fd/21/4e287865504b3edc0136c89c9c09431be326168b1eb7841911cbc877a995/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6f52298fbd394f9ed112d56f3d11aabd0d5bd27beb3084cc3d8ad069483b8941", size = 2350956, upload-time = "2025-11-04T13:39:15.889Z" }, - { url = "https://files.pythonhosted.org/packages/a8/76/7727ef2ffa4b62fcab916686a68a0426b9b790139720e1934e8ba797e238/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:100baa204bb412b74fe285fb0f3a385256dad1d1879f0a5cb1499ed2e83d132a", size = 2068253, upload-time = "2025-11-04T13:39:17.403Z" }, - { url = "https://files.pythonhosted.org/packages/d5/8c/a4abfc79604bcb4c748e18975c44f94f756f08fb04218d5cb87eb0d3a63e/pydantic_core-2.41.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:05a2c8852530ad2812cb7914dc61a1125dc4e06252ee98e5638a12da6cc6fb6c", size = 2177050, upload-time = "2025-11-04T13:39:19.351Z" }, - { url = "https://files.pythonhosted.org/packages/67/b1/de2e9a9a79b480f9cb0b6e8b6ba4c50b18d4e89852426364c66aa82bb7b3/pydantic_core-2.41.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:29452c56df2ed968d18d7e21f4ab0ac55e71dc59524872f6fc57dcf4a3249ed2", size = 2147178, upload-time = "2025-11-04T13:39:21Z" }, - { url = "https://files.pythonhosted.org/packages/16/c1/dfb33f837a47b20417500efaa0378adc6635b3c79e8369ff7a03c494b4ac/pydantic_core-2.41.5-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:d5160812ea7a8a2ffbe233d8da666880cad0cbaf5d4de74ae15c313213d62556", size = 2341833, upload-time = "2025-11-04T13:39:22.606Z" }, - { url = "https://files.pythonhosted.org/packages/47/36/00f398642a0f4b815a9a558c4f1dca1b4020a7d49562807d7bc9ff279a6c/pydantic_core-2.41.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:df3959765b553b9440adfd3c795617c352154e497a4eaf3752555cfb5da8fc49", size = 2321156, upload-time = "2025-11-04T13:39:25.843Z" }, - { url = "https://files.pythonhosted.org/packages/7e/70/cad3acd89fde2010807354d978725ae111ddf6d0ea46d1ea1775b5c1bd0c/pydantic_core-2.41.5-cp310-cp310-win32.whl", hash = "sha256:1f8d33a7f4d5a7889e60dc39856d76d09333d8a6ed0f5f1190635cbec70ec4ba", size = 1989378, upload-time = "2025-11-04T13:39:27.92Z" }, - { url = "https://files.pythonhosted.org/packages/76/92/d338652464c6c367e5608e4488201702cd1cbb0f33f7b6a85a60fe5f3720/pydantic_core-2.41.5-cp310-cp310-win_amd64.whl", hash = "sha256:62de39db01b8d593e45871af2af9e497295db8d73b085f6bfd0b18c83c70a8f9", size = 2013622, upload-time = "2025-11-04T13:39:29.848Z" }, { url = "https://files.pythonhosted.org/packages/e8/72/74a989dd9f2084b3d9530b0915fdda64ac48831c30dbf7c72a41a5232db8/pydantic_core-2.41.5-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a3a52f6156e73e7ccb0f8cced536adccb7042be67cb45f9562e12b319c119da6", size = 2105873, upload-time = "2025-11-04T13:39:31.373Z" }, { url = "https://files.pythonhosted.org/packages/12/44/37e403fd9455708b3b942949e1d7febc02167662bf1a7da5b78ee1ea2842/pydantic_core-2.41.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7f3bf998340c6d4b0c9a2f02d6a400e51f123b59565d74dc60d252ce888c260b", size = 1899826, upload-time = "2025-11-04T13:39:32.897Z" }, { url = "https://files.pythonhosted.org/packages/33/7f/1d5cab3ccf44c1935a359d51a8a2a9e1a654b744b5e7f80d41b88d501eec/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:378bec5c66998815d224c9ca994f1e14c0c21cb95d2f52b6021cc0b2a58f2a5a", size = 1917869, upload-time = "2025-11-04T13:39:34.469Z" }, @@ -1919,6 +2127,48 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/49/3b/774f2b5cd4192d5ab75870ce4381fd89cf218af999515baf07e7206753f0/pydantic_core-2.41.5-cp312-cp312-win32.whl", hash = "sha256:b74557b16e390ec12dca509bce9264c3bbd128f8a2c376eaa68003d7f327276d", size = 1985908, upload-time = "2025-11-04T13:40:19.309Z" }, { url = "https://files.pythonhosted.org/packages/86/45/00173a033c801cacf67c190fef088789394feaf88a98a7035b0e40d53dc9/pydantic_core-2.41.5-cp312-cp312-win_amd64.whl", hash = "sha256:1962293292865bca8e54702b08a4f26da73adc83dd1fcf26fbc875b35d81c815", size = 2020145, upload-time = "2025-11-04T13:40:21.548Z" }, { url = "https://files.pythonhosted.org/packages/f9/22/91fbc821fa6d261b376a3f73809f907cec5ca6025642c463d3488aad22fb/pydantic_core-2.41.5-cp312-cp312-win_arm64.whl", hash = "sha256:1746d4a3d9a794cacae06a5eaaccb4b8643a131d45fbc9af23e353dc0a5ba5c3", size = 1976179, upload-time = "2025-11-04T13:40:23.393Z" }, + { url = "https://files.pythonhosted.org/packages/87/06/8806241ff1f70d9939f9af039c6c35f2360cf16e93c2ca76f184e76b1564/pydantic_core-2.41.5-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:941103c9be18ac8daf7b7adca8228f8ed6bb7a1849020f643b3a14d15b1924d9", size = 2120403, upload-time = "2025-11-04T13:40:25.248Z" }, + { url = "https://files.pythonhosted.org/packages/94/02/abfa0e0bda67faa65fef1c84971c7e45928e108fe24333c81f3bfe35d5f5/pydantic_core-2.41.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:112e305c3314f40c93998e567879e887a3160bb8689ef3d2c04b6cc62c33ac34", size = 1896206, upload-time = "2025-11-04T13:40:27.099Z" }, + { url = "https://files.pythonhosted.org/packages/15/df/a4c740c0943e93e6500f9eb23f4ca7ec9bf71b19e608ae5b579678c8d02f/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0cbaad15cb0c90aa221d43c00e77bb33c93e8d36e0bf74760cd00e732d10a6a0", size = 1919307, upload-time = "2025-11-04T13:40:29.806Z" }, + { url = "https://files.pythonhosted.org/packages/9a/e3/6324802931ae1d123528988e0e86587c2072ac2e5394b4bc2bc34b61ff6e/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:03ca43e12fab6023fc79d28ca6b39b05f794ad08ec2feccc59a339b02f2b3d33", size = 2063258, upload-time = "2025-11-04T13:40:33.544Z" }, + { url = "https://files.pythonhosted.org/packages/c9/d4/2230d7151d4957dd79c3044ea26346c148c98fbf0ee6ebd41056f2d62ab5/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dc799088c08fa04e43144b164feb0c13f9a0bc40503f8df3e9fde58a3c0c101e", size = 2214917, upload-time = "2025-11-04T13:40:35.479Z" }, + { url = "https://files.pythonhosted.org/packages/e6/9f/eaac5df17a3672fef0081b6c1bb0b82b33ee89aa5cec0d7b05f52fd4a1fa/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:97aeba56665b4c3235a0e52b2c2f5ae9cd071b8a8310ad27bddb3f7fb30e9aa2", size = 2332186, upload-time = "2025-11-04T13:40:37.436Z" }, + { url = "https://files.pythonhosted.org/packages/cf/4e/35a80cae583a37cf15604b44240e45c05e04e86f9cfd766623149297e971/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:406bf18d345822d6c21366031003612b9c77b3e29ffdb0f612367352aab7d586", size = 2073164, upload-time = "2025-11-04T13:40:40.289Z" }, + { url = "https://files.pythonhosted.org/packages/bf/e3/f6e262673c6140dd3305d144d032f7bd5f7497d3871c1428521f19f9efa2/pydantic_core-2.41.5-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b93590ae81f7010dbe380cdeab6f515902ebcbefe0b9327cc4804d74e93ae69d", size = 2179146, upload-time = "2025-11-04T13:40:42.809Z" }, + { url = "https://files.pythonhosted.org/packages/75/c7/20bd7fc05f0c6ea2056a4565c6f36f8968c0924f19b7d97bbfea55780e73/pydantic_core-2.41.5-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:01a3d0ab748ee531f4ea6c3e48ad9dac84ddba4b0d82291f87248f2f9de8d740", size = 2137788, upload-time = "2025-11-04T13:40:44.752Z" }, + { url = "https://files.pythonhosted.org/packages/3a/8d/34318ef985c45196e004bc46c6eab2eda437e744c124ef0dbe1ff2c9d06b/pydantic_core-2.41.5-cp313-cp313-musllinux_1_1_armv7l.whl", hash = "sha256:6561e94ba9dacc9c61bce40e2d6bdc3bfaa0259d3ff36ace3b1e6901936d2e3e", size = 2340133, upload-time = "2025-11-04T13:40:46.66Z" }, + { url = "https://files.pythonhosted.org/packages/9c/59/013626bf8c78a5a5d9350d12e7697d3d4de951a75565496abd40ccd46bee/pydantic_core-2.41.5-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:915c3d10f81bec3a74fbd4faebe8391013ba61e5a1a8d48c4455b923bdda7858", size = 2324852, upload-time = "2025-11-04T13:40:48.575Z" }, + { url = "https://files.pythonhosted.org/packages/1a/d9/c248c103856f807ef70c18a4f986693a46a8ffe1602e5d361485da502d20/pydantic_core-2.41.5-cp313-cp313-win32.whl", hash = "sha256:650ae77860b45cfa6e2cdafc42618ceafab3a2d9a3811fcfbd3bbf8ac3c40d36", size = 1994679, upload-time = "2025-11-04T13:40:50.619Z" }, + { url = "https://files.pythonhosted.org/packages/9e/8b/341991b158ddab181cff136acd2552c9f35bd30380422a639c0671e99a91/pydantic_core-2.41.5-cp313-cp313-win_amd64.whl", hash = "sha256:79ec52ec461e99e13791ec6508c722742ad745571f234ea6255bed38c6480f11", size = 2019766, upload-time = "2025-11-04T13:40:52.631Z" }, + { url = "https://files.pythonhosted.org/packages/73/7d/f2f9db34af103bea3e09735bb40b021788a5e834c81eedb541991badf8f5/pydantic_core-2.41.5-cp313-cp313-win_arm64.whl", hash = "sha256:3f84d5c1b4ab906093bdc1ff10484838aca54ef08de4afa9de0f5f14d69639cd", size = 1981005, upload-time = "2025-11-04T13:40:54.734Z" }, + { url = "https://files.pythonhosted.org/packages/ea/28/46b7c5c9635ae96ea0fbb779e271a38129df2550f763937659ee6c5dbc65/pydantic_core-2.41.5-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:3f37a19d7ebcdd20b96485056ba9e8b304e27d9904d233d7b1015db320e51f0a", size = 2119622, upload-time = "2025-11-04T13:40:56.68Z" }, + { url = "https://files.pythonhosted.org/packages/74/1a/145646e5687e8d9a1e8d09acb278c8535ebe9e972e1f162ed338a622f193/pydantic_core-2.41.5-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1d1d9764366c73f996edd17abb6d9d7649a7eb690006ab6adbda117717099b14", size = 1891725, upload-time = "2025-11-04T13:40:58.807Z" }, + { url = "https://files.pythonhosted.org/packages/23/04/e89c29e267b8060b40dca97bfc64a19b2a3cf99018167ea1677d96368273/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25e1c2af0fce638d5f1988b686f3b3ea8cd7de5f244ca147c777769e798a9cd1", size = 1915040, upload-time = "2025-11-04T13:41:00.853Z" }, + { url = "https://files.pythonhosted.org/packages/84/a3/15a82ac7bd97992a82257f777b3583d3e84bdb06ba6858f745daa2ec8a85/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:506d766a8727beef16b7adaeb8ee6217c64fc813646b424d0804d67c16eddb66", size = 2063691, upload-time = "2025-11-04T13:41:03.504Z" }, + { url = "https://files.pythonhosted.org/packages/74/9b/0046701313c6ef08c0c1cf0e028c67c770a4e1275ca73131563c5f2a310a/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4819fa52133c9aa3c387b3328f25c1facc356491e6135b459f1de698ff64d869", size = 2213897, upload-time = "2025-11-04T13:41:05.804Z" }, + { url = "https://files.pythonhosted.org/packages/8a/cd/6bac76ecd1b27e75a95ca3a9a559c643b3afcd2dd62086d4b7a32a18b169/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2b761d210c9ea91feda40d25b4efe82a1707da2ef62901466a42492c028553a2", size = 2333302, upload-time = "2025-11-04T13:41:07.809Z" }, + { url = "https://files.pythonhosted.org/packages/4c/d2/ef2074dc020dd6e109611a8be4449b98cd25e1b9b8a303c2f0fca2f2bcf7/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:22f0fb8c1c583a3b6f24df2470833b40207e907b90c928cc8d3594b76f874375", size = 2064877, upload-time = "2025-11-04T13:41:09.827Z" }, + { url = "https://files.pythonhosted.org/packages/18/66/e9db17a9a763d72f03de903883c057b2592c09509ccfe468187f2a2eef29/pydantic_core-2.41.5-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2782c870e99878c634505236d81e5443092fba820f0373997ff75f90f68cd553", size = 2180680, upload-time = "2025-11-04T13:41:12.379Z" }, + { url = "https://files.pythonhosted.org/packages/d3/9e/3ce66cebb929f3ced22be85d4c2399b8e85b622db77dad36b73c5387f8f8/pydantic_core-2.41.5-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:0177272f88ab8312479336e1d777f6b124537d47f2123f89cb37e0accea97f90", size = 2138960, upload-time = "2025-11-04T13:41:14.627Z" }, + { url = "https://files.pythonhosted.org/packages/a6/62/205a998f4327d2079326b01abee48e502ea739d174f0a89295c481a2272e/pydantic_core-2.41.5-cp314-cp314-musllinux_1_1_armv7l.whl", hash = "sha256:63510af5e38f8955b8ee5687740d6ebf7c2a0886d15a6d65c32814613681bc07", size = 2339102, upload-time = "2025-11-04T13:41:16.868Z" }, + { url = "https://files.pythonhosted.org/packages/3c/0d/f05e79471e889d74d3d88f5bd20d0ed189ad94c2423d81ff8d0000aab4ff/pydantic_core-2.41.5-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:e56ba91f47764cc14f1daacd723e3e82d1a89d783f0f5afe9c364b8bb491ccdb", size = 2326039, upload-time = "2025-11-04T13:41:18.934Z" }, + { url = "https://files.pythonhosted.org/packages/ec/e1/e08a6208bb100da7e0c4b288eed624a703f4d129bde2da475721a80cab32/pydantic_core-2.41.5-cp314-cp314-win32.whl", hash = "sha256:aec5cf2fd867b4ff45b9959f8b20ea3993fc93e63c7363fe6851424c8a7e7c23", size = 1995126, upload-time = "2025-11-04T13:41:21.418Z" }, + { url = "https://files.pythonhosted.org/packages/48/5d/56ba7b24e9557f99c9237e29f5c09913c81eeb2f3217e40e922353668092/pydantic_core-2.41.5-cp314-cp314-win_amd64.whl", hash = "sha256:8e7c86f27c585ef37c35e56a96363ab8de4e549a95512445b85c96d3e2f7c1bf", size = 2015489, upload-time = "2025-11-04T13:41:24.076Z" }, + { url = "https://files.pythonhosted.org/packages/4e/bb/f7a190991ec9e3e0ba22e4993d8755bbc4a32925c0b5b42775c03e8148f9/pydantic_core-2.41.5-cp314-cp314-win_arm64.whl", hash = "sha256:e672ba74fbc2dc8eea59fb6d4aed6845e6905fc2a8afe93175d94a83ba2a01a0", size = 1977288, upload-time = "2025-11-04T13:41:26.33Z" }, + { url = "https://files.pythonhosted.org/packages/92/ed/77542d0c51538e32e15afe7899d79efce4b81eee631d99850edc2f5e9349/pydantic_core-2.41.5-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:8566def80554c3faa0e65ac30ab0932b9e3a5cd7f8323764303d468e5c37595a", size = 2120255, upload-time = "2025-11-04T13:41:28.569Z" }, + { url = "https://files.pythonhosted.org/packages/bb/3d/6913dde84d5be21e284439676168b28d8bbba5600d838b9dca99de0fad71/pydantic_core-2.41.5-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:b80aa5095cd3109962a298ce14110ae16b8c1aece8b72f9dafe81cf597ad80b3", size = 1863760, upload-time = "2025-11-04T13:41:31.055Z" }, + { url = "https://files.pythonhosted.org/packages/5a/f0/e5e6b99d4191da102f2b0eb9687aaa7f5bea5d9964071a84effc3e40f997/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3006c3dd9ba34b0c094c544c6006cc79e87d8612999f1a5d43b769b89181f23c", size = 1878092, upload-time = "2025-11-04T13:41:33.21Z" }, + { url = "https://files.pythonhosted.org/packages/71/48/36fb760642d568925953bcc8116455513d6e34c4beaa37544118c36aba6d/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:72f6c8b11857a856bcfa48c86f5368439f74453563f951e473514579d44aa612", size = 2053385, upload-time = "2025-11-04T13:41:35.508Z" }, + { url = "https://files.pythonhosted.org/packages/20/25/92dc684dd8eb75a234bc1c764b4210cf2646479d54b47bf46061657292a8/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5cb1b2f9742240e4bb26b652a5aeb840aa4b417c7748b6f8387927bc6e45e40d", size = 2218832, upload-time = "2025-11-04T13:41:37.732Z" }, + { url = "https://files.pythonhosted.org/packages/e2/09/f53e0b05023d3e30357d82eb35835d0f6340ca344720a4599cd663dca599/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bd3d54f38609ff308209bd43acea66061494157703364ae40c951f83ba99a1a9", size = 2327585, upload-time = "2025-11-04T13:41:40Z" }, + { url = "https://files.pythonhosted.org/packages/aa/4e/2ae1aa85d6af35a39b236b1b1641de73f5a6ac4d5a7509f77b814885760c/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ff4321e56e879ee8d2a879501c8e469414d948f4aba74a2d4593184eb326660", size = 2041078, upload-time = "2025-11-04T13:41:42.323Z" }, + { url = "https://files.pythonhosted.org/packages/cd/13/2e215f17f0ef326fc72afe94776edb77525142c693767fc347ed6288728d/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d0d2568a8c11bf8225044aa94409e21da0cb09dcdafe9ecd10250b2baad531a9", size = 2173914, upload-time = "2025-11-04T13:41:45.221Z" }, + { url = "https://files.pythonhosted.org/packages/02/7a/f999a6dcbcd0e5660bc348a3991c8915ce6599f4f2c6ac22f01d7a10816c/pydantic_core-2.41.5-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:a39455728aabd58ceabb03c90e12f71fd30fa69615760a075b9fec596456ccc3", size = 2129560, upload-time = "2025-11-04T13:41:47.474Z" }, + { url = "https://files.pythonhosted.org/packages/3a/b1/6c990ac65e3b4c079a4fb9f5b05f5b013afa0f4ed6780a3dd236d2cbdc64/pydantic_core-2.41.5-cp314-cp314t-musllinux_1_1_armv7l.whl", hash = "sha256:239edca560d05757817c13dc17c50766136d21f7cd0fac50295499ae24f90fdf", size = 2329244, upload-time = "2025-11-04T13:41:49.992Z" }, + { url = "https://files.pythonhosted.org/packages/d9/02/3c562f3a51afd4d88fff8dffb1771b30cfdfd79befd9883ee094f5b6c0d8/pydantic_core-2.41.5-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:2a5e06546e19f24c6a96a129142a75cee553cc018ffee48a460059b1185f4470", size = 2331955, upload-time = "2025-11-04T13:41:54.079Z" }, + { url = "https://files.pythonhosted.org/packages/5c/96/5fb7d8c3c17bc8c62fdb031c47d77a1af698f1d7a406b0f79aaa1338f9ad/pydantic_core-2.41.5-cp314-cp314t-win32.whl", hash = "sha256:b4ececa40ac28afa90871c2cc2b9ffd2ff0bf749380fbdf57d165fd23da353aa", size = 1988906, upload-time = "2025-11-04T13:41:56.606Z" }, + { url = "https://files.pythonhosted.org/packages/22/ed/182129d83032702912c2e2d8bbe33c036f342cc735737064668585dac28f/pydantic_core-2.41.5-cp314-cp314t-win_amd64.whl", hash = "sha256:80aa89cad80b32a912a65332f64a4450ed00966111b6615ca6816153d3585a8c", size = 1981607, upload-time = "2025-11-04T13:41:58.889Z" }, + { url = "https://files.pythonhosted.org/packages/9f/ed/068e41660b832bb0b1aa5b58011dea2a3fe0ba7861ff38c4d4904c1c1a99/pydantic_core-2.41.5-cp314-cp314t-win_arm64.whl", hash = "sha256:35b44f37a3199f771c3eaa53051bc8a70cd7b54f333531c59e29fd4db5d15008", size = 1974769, upload-time = "2025-11-04T13:42:01.186Z" }, { url = "https://files.pythonhosted.org/packages/11/72/90fda5ee3b97e51c494938a4a44c3a35a9c96c19bba12372fb9c634d6f57/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-macosx_10_12_x86_64.whl", hash = "sha256:b96d5f26b05d03cc60f11a7761a5ded1741da411e7fe0909e27a5e6a0cb7b034", size = 2115441, upload-time = "2025-11-04T13:42:39.557Z" }, { url = "https://files.pythonhosted.org/packages/1f/53/8942f884fa33f50794f119012dc6a1a02ac43a56407adaac20463df8e98f/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-macosx_11_0_arm64.whl", hash = "sha256:634e8609e89ceecea15e2d61bc9ac3718caaaa71963717bf3c8f38bfde64242c", size = 1930291, upload-time = "2025-11-04T13:42:42.169Z" }, { url = "https://files.pythonhosted.org/packages/79/c8/ecb9ed9cd942bce09fc888ee960b52654fbdbede4ba6c2d6e0d3b1d8b49c/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:93e8740d7503eb008aa2df04d3b9735f845d43ae845e6dcd2be0b55a2da43cd2", size = 1948632, upload-time = "2025-11-04T13:42:44.564Z" }, @@ -1927,14 +2177,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/aa/81/05e400037eaf55ad400bcd318c05bb345b57e708887f07ddb2d20e3f0e98/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:aabf5777b5c8ca26f7824cb4a120a740c9588ed58df9b2d196ce92fba42ff8dc", size = 1915388, upload-time = "2025-11-04T13:42:52.215Z" }, { url = "https://files.pythonhosted.org/packages/6e/0d/e3549b2399f71d56476b77dbf3cf8937cec5cd70536bdc0e374a421d0599/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c007fe8a43d43b3969e8469004e9845944f1a80e6acd47c150856bb87f230c56", size = 1942879, upload-time = "2025-11-04T13:42:56.483Z" }, { url = "https://files.pythonhosted.org/packages/f7/07/34573da085946b6a313d7c42f82f16e8920bfd730665de2d11c0c37a74b5/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:76d0819de158cd855d1cbb8fcafdf6f5cf1eb8e470abe056d5d161106e38062b", size = 2139017, upload-time = "2025-11-04T13:42:59.471Z" }, - { url = "https://files.pythonhosted.org/packages/e6/b0/1a2aa41e3b5a4ba11420aba2d091b2d17959c8d1519ece3627c371951e73/pydantic_core-2.41.5-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b5819cd790dbf0c5eb9f82c73c16b39a65dd6dd4d1439dcdea7816ec9adddab8", size = 2103351, upload-time = "2025-11-04T13:43:02.058Z" }, - { url = "https://files.pythonhosted.org/packages/a4/ee/31b1f0020baaf6d091c87900ae05c6aeae101fa4e188e1613c80e4f1ea31/pydantic_core-2.41.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:5a4e67afbc95fa5c34cf27d9089bca7fcab4e51e57278d710320a70b956d1b9a", size = 1925363, upload-time = "2025-11-04T13:43:05.159Z" }, - { url = "https://files.pythonhosted.org/packages/e1/89/ab8e86208467e467a80deaca4e434adac37b10a9d134cd2f99b28a01e483/pydantic_core-2.41.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ece5c59f0ce7d001e017643d8d24da587ea1f74f6993467d85ae8a5ef9d4f42b", size = 2135615, upload-time = "2025-11-04T13:43:08.116Z" }, - { url = "https://files.pythonhosted.org/packages/99/0a/99a53d06dd0348b2008f2f30884b34719c323f16c3be4e6cc1203b74a91d/pydantic_core-2.41.5-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:16f80f7abe3351f8ea6858914ddc8c77e02578544a0ebc15b4c2e1a0e813b0b2", size = 2175369, upload-time = "2025-11-04T13:43:12.49Z" }, - { url = "https://files.pythonhosted.org/packages/6d/94/30ca3b73c6d485b9bb0bc66e611cff4a7138ff9736b7e66bcf0852151636/pydantic_core-2.41.5-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:33cb885e759a705b426baada1fe68cbb0a2e68e34c5d0d0289a364cf01709093", size = 2144218, upload-time = "2025-11-04T13:43:15.431Z" }, - { url = "https://files.pythonhosted.org/packages/87/57/31b4f8e12680b739a91f472b5671294236b82586889ef764b5fbc6669238/pydantic_core-2.41.5-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:c8d8b4eb992936023be7dee581270af5c6e0697a8559895f527f5b7105ecd36a", size = 2329951, upload-time = "2025-11-04T13:43:18.062Z" }, - { url = "https://files.pythonhosted.org/packages/7d/73/3c2c8edef77b8f7310e6fb012dbc4b8551386ed575b9eb6fb2506e28a7eb/pydantic_core-2.41.5-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:242a206cd0318f95cd21bdacff3fcc3aab23e79bba5cac3db5a841c9ef9c6963", size = 2318428, upload-time = "2025-11-04T13:43:20.679Z" }, - { url = "https://files.pythonhosted.org/packages/2f/02/8559b1f26ee0d502c74f9cca5c0d2fd97e967e083e006bbbb4e97f3a043a/pydantic_core-2.41.5-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d3a978c4f57a597908b7e697229d996d77a6d3c94901e9edee593adada95ce1a", size = 2147009, upload-time = "2025-11-04T13:43:23.286Z" }, { url = "https://files.pythonhosted.org/packages/5f/9b/1b3f0e9f9305839d7e84912f9e8bfbd191ed1b1ef48083609f0dabde978c/pydantic_core-2.41.5-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b2379fa7ed44ddecb5bfe4e48577d752db9fc10be00a6b7446e9663ba143de26", size = 2101980, upload-time = "2025-11-04T13:43:25.97Z" }, { url = "https://files.pythonhosted.org/packages/a4/ed/d71fefcb4263df0da6a85b5d8a7508360f2f2e9b3bf5814be9c8bccdccc1/pydantic_core-2.41.5-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:266fb4cbf5e3cbd0b53669a6d1b039c45e3ce651fd5442eff4d07c2cc8d66808", size = 1923865, upload-time = "2025-11-04T13:43:28.763Z" }, { url = "https://files.pythonhosted.org/packages/ce/3a/626b38db460d675f873e4444b4bb030453bbe7b4ba55df821d026a0493c4/pydantic_core-2.41.5-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58133647260ea01e4d0500089a8c4f07bd7aa6ce109682b1426394988d8aaacc", size = 2134256, upload-time = "2025-11-04T13:43:31.71Z" }, @@ -1950,8 +2192,7 @@ name = "pyerfa" version = "2.0.1.5" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/71/39/63cc8291b0cf324ae710df41527faf7d331bce573899199d926b3e492260/pyerfa-2.0.1.5.tar.gz", hash = "sha256:17d6b24fe4846c65d5e7d8c362dcb08199dc63b30a236aedd73875cc83e1f6c0", size = 818430, upload-time = "2024-11-11T15:22:30.852Z" } wheels = [ @@ -1966,11 +2207,11 @@ wheels = [ [[package]] name = "pygments" -version = "2.19.2" +version = "2.20.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/b0/77/a5b8c569bf593b0140bde72ea885a803b82086995367bf2037de0159d924/pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887", size = 4968631, upload-time = "2025-06-21T13:39:12.283Z" } +sdist = { url = "https://files.pythonhosted.org/packages/c3/b2/bc9c9196916376152d655522fdcebac55e66de6603a76a02bca1b6414f6c/pygments-2.20.0.tar.gz", hash = "sha256:6757cd03768053ff99f3039c1a36d6c0aa0b263438fcab17520b30a303a82b5f", size = 4955991, upload-time = "2026-03-29T13:29:33.898Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c7/21/705964c7812476f378728bdf590ca4b771ec72385c533964653c68e86bdc/pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b", size = 1225217, upload-time = "2025-06-21T13:39:07.939Z" }, + { url = "https://files.pythonhosted.org/packages/f4/7e/a72dd26f3b0f4f2bf1dd8923c85f7ceb43172af56d63c7383eb62b332364/pygments-2.20.0-py3-none-any.whl", hash = "sha256:81a9e26dd42fd28a23a2d169d86d7ac03b46e2f8b59ed4698fb4785f946d0176", size = 1231151, upload-time = "2026-03-29T13:29:30.038Z" }, ] [[package]] @@ -1988,12 +2229,10 @@ version = "9.0.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "colorama", marker = "sys_platform == 'win32'" }, - { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, { name = "iniconfig" }, { name = "packaging" }, { name = "pluggy" }, { name = "pygments" }, - { name = "tomli", marker = "python_full_version < '3.11'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" } wheels = [ @@ -2014,16 +2253,16 @@ wheels = [ [[package]] name = "python-dotenv" -version = "1.2.1" +version = "1.2.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/f0/26/19cadc79a718c5edbec86fd4919a6b6d3f681039a2f6d66d14be94e75fb9/python_dotenv-1.2.1.tar.gz", hash = "sha256:42667e897e16ab0d66954af0e60a9caa94f0fd4ecf3aaf6d2d260eec1aa36ad6", size = 44221, upload-time = "2025-10-26T15:12:10.434Z" } +sdist = { url = "https://files.pythonhosted.org/packages/82/ed/0301aeeac3e5353ef3d94b6ec08bbcabd04a72018415dcb29e588514bba8/python_dotenv-1.2.2.tar.gz", hash = "sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3", size = 50135, upload-time = "2026-03-01T16:00:26.196Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/14/1b/a298b06749107c305e1fe0f814c6c74aea7b2f1e10989cb30f544a1b3253/python_dotenv-1.2.1-py3-none-any.whl", hash = "sha256:b81ee9561e9ca4004139c6cbba3a238c32b03e4894671e181b671e8cb8425d61", size = 21230, upload-time = "2025-10-26T15:12:09.109Z" }, + { url = "https://files.pythonhosted.org/packages/0b/d7/1959b9648791274998a9c3526f6d0ec8fd2233e4d4acce81bbae76b44b2a/python_dotenv-1.2.2-py3-none-any.whl", hash = "sha256:1d8214789a24de455a8b8bd8ae6fe3c6b69a5e3d64aa8a8e5d68e694bbcb285a", size = 22101, upload-time = "2026-03-01T16:00:25.09Z" }, ] [[package]] name = "python-fasthtml" -version = "0.12.43" +version = "0.13.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "beautifulsoup4" }, @@ -2037,9 +2276,9 @@ dependencies = [ { name = "starlette" }, { name = "uvicorn", extra = ["standard"] }, ] -sdist = { url = "https://files.pythonhosted.org/packages/ac/ae/9dbc5131c66db21b23eb2ee9f713ba6137fc7b83a9ef5af6d143c08c8406/python_fasthtml-0.12.43.tar.gz", hash = "sha256:23cc46020bfe720e241b6e088f520b71ae9d12ccd55e457a2a9e99eb9c937bcb", size = 71914, upload-time = "2026-02-20T05:03:17.947Z" } +sdist = { url = "https://files.pythonhosted.org/packages/41/05/887acd5cc4da54ac84f4b1fdb970d8f02032b623905d61918f24059eedac/python_fasthtml-0.13.2.tar.gz", hash = "sha256:5b445ca9861d790e586ab39ca3586e6ff0ee6a9a28014b81dd9ff27209701e0b", size = 72933, upload-time = "2026-03-27T03:55:28.132Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/41/3f/1768b40ccbf0069d2e3aa423603bc60d17cfa0b4650c6a6baeb7744115d4/python_fasthtml-0.12.43-py3-none-any.whl", hash = "sha256:0b4e8665ee43df70ced0d96ee39d3d166d70ecbef6a7c3ae2f4df3ae7b6a2dbc", size = 75671, upload-time = "2026-02-20T05:03:16.447Z" }, + { url = "https://files.pythonhosted.org/packages/43/63/fcf964a5f5c8a335e5dda804533f14db245a68a43ab9c6bd7af66b99cba9/python_fasthtml-0.13.2-py3-none-any.whl", hash = "sha256:03ed1a09abb3e374bf707c5f3a02b2bca42d2e0ed05e949ad6dde0fd1d061981", size = 76507, upload-time = "2026-03-27T03:55:26.526Z" }, ] [[package]] @@ -2053,11 +2292,11 @@ wheels = [ [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/f8/bf/abbd3cdfb8fbc7fb3d4d38d320f2441b1e7cbe29be4f23797b4a2b5d8aac/pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3", size = 320884, upload-time = "2025-03-25T02:25:00.538Z" } +sdist = { url = "https://files.pythonhosted.org/packages/56/db/b8721d71d945e6a8ac63c0fc900b2067181dbb50805958d4d4661cf7d277/pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1", size = 321088, upload-time = "2026-03-03T07:47:50.683Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/81/c4/34e93fe5f5429d7570ec1fa436f1986fb1f00c3e0f43a589fe2bbcd22c3f/pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00", size = 509225, upload-time = "2025-03-25T02:24:58.468Z" }, + { url = "https://files.pythonhosted.org/packages/10/99/781fe0c827be2742bcc775efefccb3b048a3a9c6ce9aec0cbf4a101677e5/pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a", size = 510489, upload-time = "2026-03-03T07:47:49.167Z" }, ] [[package]] @@ -2066,15 +2305,6 @@ version = "6.0.3" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/05/8e/961c0007c59b8dd7729d542c61a4d537767a59645b82a0b521206e1e25c2/pyyaml-6.0.3.tar.gz", hash = "sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f", size = 130960, upload-time = "2025-09-25T21:33:16.546Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/f4/a0/39350dd17dd6d6c6507025c0e53aef67a9293a6d37d3511f23ea510d5800/pyyaml-6.0.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:214ed4befebe12df36bcc8bc2b64b396ca31be9304b8f59e25c11cf94a4c033b", size = 184227, upload-time = "2025-09-25T21:31:46.04Z" }, - { url = "https://files.pythonhosted.org/packages/05/14/52d505b5c59ce73244f59c7a50ecf47093ce4765f116cdb98286a71eeca2/pyyaml-6.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02ea2dfa234451bbb8772601d7b8e426c2bfa197136796224e50e35a78777956", size = 174019, upload-time = "2025-09-25T21:31:47.706Z" }, - { url = "https://files.pythonhosted.org/packages/43/f7/0e6a5ae5599c838c696adb4e6330a59f463265bfa1e116cfd1fbb0abaaae/pyyaml-6.0.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b30236e45cf30d2b8e7b3e85881719e98507abed1011bf463a8fa23e9c3e98a8", size = 740646, upload-time = "2025-09-25T21:31:49.21Z" }, - { url = "https://files.pythonhosted.org/packages/2f/3a/61b9db1d28f00f8fd0ae760459a5c4bf1b941baf714e207b6eb0657d2578/pyyaml-6.0.3-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:66291b10affd76d76f54fad28e22e51719ef9ba22b29e1d7d03d6777a9174198", size = 840793, upload-time = "2025-09-25T21:31:50.735Z" }, - { url = "https://files.pythonhosted.org/packages/7a/1e/7acc4f0e74c4b3d9531e24739e0ab832a5edf40e64fbae1a9c01941cabd7/pyyaml-6.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9c7708761fccb9397fe64bbc0395abcae8c4bf7b0eac081e12b809bf47700d0b", size = 770293, upload-time = "2025-09-25T21:31:51.828Z" }, - { url = "https://files.pythonhosted.org/packages/8b/ef/abd085f06853af0cd59fa5f913d61a8eab65d7639ff2a658d18a25d6a89d/pyyaml-6.0.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:418cf3f2111bc80e0933b2cd8cd04f286338bb88bdc7bc8e6dd775ebde60b5e0", size = 732872, upload-time = "2025-09-25T21:31:53.282Z" }, - { url = "https://files.pythonhosted.org/packages/1f/15/2bc9c8faf6450a8b3c9fc5448ed869c599c0a74ba2669772b1f3a0040180/pyyaml-6.0.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5e0b74767e5f8c593e8c9b5912019159ed0533c70051e9cce3e8b6aa699fcd69", size = 758828, upload-time = "2025-09-25T21:31:54.807Z" }, - { url = "https://files.pythonhosted.org/packages/a3/00/531e92e88c00f4333ce359e50c19b8d1de9fe8d581b1534e35ccfbc5f393/pyyaml-6.0.3-cp310-cp310-win32.whl", hash = "sha256:28c8d926f98f432f88adc23edf2e6d4921ac26fb084b028c733d01868d19007e", size = 142415, upload-time = "2025-09-25T21:31:55.885Z" }, - { url = "https://files.pythonhosted.org/packages/2a/fa/926c003379b19fca39dd4634818b00dec6c62d87faf628d1394e137354d4/pyyaml-6.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:bdb2c67c6c1390b63c6ff89f210c8fd09d9a1217a465701eac7316313c915e4c", size = 158561, upload-time = "2025-09-25T21:31:57.406Z" }, { url = "https://files.pythonhosted.org/packages/6d/16/a95b6757765b7b031c9374925bb718d55e0a9ba8a1b6a12d25962ea44347/pyyaml-6.0.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:44edc647873928551a01e7a563d7452ccdebee747728c1080d881d68af7b997e", size = 185826, upload-time = "2025-09-25T21:31:58.655Z" }, { url = "https://files.pythonhosted.org/packages/16/19/13de8e4377ed53079ee996e1ab0a9c33ec2faf808a4647b7b4c0d46dd239/pyyaml-6.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:652cb6edd41e718550aad172851962662ff2681490a8a711af6a4d288dd96824", size = 175577, upload-time = "2025-09-25T21:32:00.088Z" }, { url = "https://files.pythonhosted.org/packages/0c/62/d2eb46264d4b157dae1275b573017abec435397aa59cbcdab6fc978a8af4/pyyaml-6.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:10892704fc220243f5305762e276552a0395f7beb4dbf9b14ec8fd43b57f126c", size = 775556, upload-time = "2025-09-25T21:32:01.31Z" }, @@ -2094,6 +2324,34 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/74/93/7baea19427dcfbe1e5a372d81473250b379f04b1bd3c4c5ff825e2327202/pyyaml-6.0.3-cp312-cp312-win32.whl", hash = "sha256:96b533f0e99f6579b3d4d4995707cf36df9100d67e0c8303a0c55b27b5f99bc5", size = 137658, upload-time = "2025-09-25T21:32:20.209Z" }, { url = "https://files.pythonhosted.org/packages/86/bf/899e81e4cce32febab4fb42bb97dcdf66bc135272882d1987881a4b519e9/pyyaml-6.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:5fcd34e47f6e0b794d17de1b4ff496c00986e1c83f7ab2fb8fcfe9616ff7477b", size = 154003, upload-time = "2025-09-25T21:32:21.167Z" }, { url = "https://files.pythonhosted.org/packages/1a/08/67bd04656199bbb51dbed1439b7f27601dfb576fb864099c7ef0c3e55531/pyyaml-6.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:64386e5e707d03a7e172c0701abfb7e10f0fb753ee1d773128192742712a98fd", size = 140344, upload-time = "2025-09-25T21:32:22.617Z" }, + { url = "https://files.pythonhosted.org/packages/d1/11/0fd08f8192109f7169db964b5707a2f1e8b745d4e239b784a5a1dd80d1db/pyyaml-6.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8da9669d359f02c0b91ccc01cac4a67f16afec0dac22c2ad09f46bee0697eba8", size = 181669, upload-time = "2025-09-25T21:32:23.673Z" }, + { url = "https://files.pythonhosted.org/packages/b1/16/95309993f1d3748cd644e02e38b75d50cbc0d9561d21f390a76242ce073f/pyyaml-6.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2283a07e2c21a2aa78d9c4442724ec1eb15f5e42a723b99cb3d822d48f5f7ad1", size = 173252, upload-time = "2025-09-25T21:32:25.149Z" }, + { url = "https://files.pythonhosted.org/packages/50/31/b20f376d3f810b9b2371e72ef5adb33879b25edb7a6d072cb7ca0c486398/pyyaml-6.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ee2922902c45ae8ccada2c5b501ab86c36525b883eff4255313a253a3160861c", size = 767081, upload-time = "2025-09-25T21:32:26.575Z" }, + { url = "https://files.pythonhosted.org/packages/49/1e/a55ca81e949270d5d4432fbbd19dfea5321eda7c41a849d443dc92fd1ff7/pyyaml-6.0.3-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a33284e20b78bd4a18c8c2282d549d10bc8408a2a7ff57653c0cf0b9be0afce5", size = 841159, upload-time = "2025-09-25T21:32:27.727Z" }, + { url = "https://files.pythonhosted.org/packages/74/27/e5b8f34d02d9995b80abcef563ea1f8b56d20134d8f4e5e81733b1feceb2/pyyaml-6.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0f29edc409a6392443abf94b9cf89ce99889a1dd5376d94316ae5145dfedd5d6", size = 801626, upload-time = "2025-09-25T21:32:28.878Z" }, + { url = "https://files.pythonhosted.org/packages/f9/11/ba845c23988798f40e52ba45f34849aa8a1f2d4af4b798588010792ebad6/pyyaml-6.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f7057c9a337546edc7973c0d3ba84ddcdf0daa14533c2065749c9075001090e6", size = 753613, upload-time = "2025-09-25T21:32:30.178Z" }, + { url = "https://files.pythonhosted.org/packages/3d/e0/7966e1a7bfc0a45bf0a7fb6b98ea03fc9b8d84fa7f2229e9659680b69ee3/pyyaml-6.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eda16858a3cab07b80edaf74336ece1f986ba330fdb8ee0d6c0d68fe82bc96be", size = 794115, upload-time = "2025-09-25T21:32:31.353Z" }, + { url = "https://files.pythonhosted.org/packages/de/94/980b50a6531b3019e45ddeada0626d45fa85cbe22300844a7983285bed3b/pyyaml-6.0.3-cp313-cp313-win32.whl", hash = "sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26", size = 137427, upload-time = "2025-09-25T21:32:32.58Z" }, + { url = "https://files.pythonhosted.org/packages/97/c9/39d5b874e8b28845e4ec2202b5da735d0199dbe5b8fb85f91398814a9a46/pyyaml-6.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c", size = 154090, upload-time = "2025-09-25T21:32:33.659Z" }, + { url = "https://files.pythonhosted.org/packages/73/e8/2bdf3ca2090f68bb3d75b44da7bbc71843b19c9f2b9cb9b0f4ab7a5a4329/pyyaml-6.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb", size = 140246, upload-time = "2025-09-25T21:32:34.663Z" }, + { url = "https://files.pythonhosted.org/packages/9d/8c/f4bd7f6465179953d3ac9bc44ac1a8a3e6122cf8ada906b4f96c60172d43/pyyaml-6.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac", size = 181814, upload-time = "2025-09-25T21:32:35.712Z" }, + { url = "https://files.pythonhosted.org/packages/bd/9c/4d95bb87eb2063d20db7b60faa3840c1b18025517ae857371c4dd55a6b3a/pyyaml-6.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310", size = 173809, upload-time = "2025-09-25T21:32:36.789Z" }, + { url = "https://files.pythonhosted.org/packages/92/b5/47e807c2623074914e29dabd16cbbdd4bf5e9b2db9f8090fa64411fc5382/pyyaml-6.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:501a031947e3a9025ed4405a168e6ef5ae3126c59f90ce0cd6f2bfc477be31b7", size = 766454, upload-time = "2025-09-25T21:32:37.966Z" }, + { url = "https://files.pythonhosted.org/packages/02/9e/e5e9b168be58564121efb3de6859c452fccde0ab093d8438905899a3a483/pyyaml-6.0.3-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:b3bc83488de33889877a0f2543ade9f70c67d66d9ebb4ac959502e12de895788", size = 836355, upload-time = "2025-09-25T21:32:39.178Z" }, + { url = "https://files.pythonhosted.org/packages/88/f9/16491d7ed2a919954993e48aa941b200f38040928474c9e85ea9e64222c3/pyyaml-6.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c458b6d084f9b935061bc36216e8a69a7e293a2f1e68bf956dcd9e6cbcd143f5", size = 794175, upload-time = "2025-09-25T21:32:40.865Z" }, + { url = "https://files.pythonhosted.org/packages/dd/3f/5989debef34dc6397317802b527dbbafb2b4760878a53d4166579111411e/pyyaml-6.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:7c6610def4f163542a622a73fb39f534f8c101d690126992300bf3207eab9764", size = 755228, upload-time = "2025-09-25T21:32:42.084Z" }, + { url = "https://files.pythonhosted.org/packages/d7/ce/af88a49043cd2e265be63d083fc75b27b6ed062f5f9fd6cdc223ad62f03e/pyyaml-6.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5190d403f121660ce8d1d2c1bb2ef1bd05b5f68533fc5c2ea899bd15f4399b35", size = 789194, upload-time = "2025-09-25T21:32:43.362Z" }, + { url = "https://files.pythonhosted.org/packages/23/20/bb6982b26a40bb43951265ba29d4c246ef0ff59c9fdcdf0ed04e0687de4d/pyyaml-6.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:4a2e8cebe2ff6ab7d1050ecd59c25d4c8bd7e6f400f5f82b96557ac0abafd0ac", size = 156429, upload-time = "2025-09-25T21:32:57.844Z" }, + { url = "https://files.pythonhosted.org/packages/f4/f4/a4541072bb9422c8a883ab55255f918fa378ecf083f5b85e87fc2b4eda1b/pyyaml-6.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:93dda82c9c22deb0a405ea4dc5f2d0cda384168e466364dec6255b293923b2f3", size = 143912, upload-time = "2025-09-25T21:32:59.247Z" }, + { url = "https://files.pythonhosted.org/packages/7c/f9/07dd09ae774e4616edf6cda684ee78f97777bdd15847253637a6f052a62f/pyyaml-6.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:02893d100e99e03eda1c8fd5c441d8c60103fd175728e23e431db1b589cf5ab3", size = 189108, upload-time = "2025-09-25T21:32:44.377Z" }, + { url = "https://files.pythonhosted.org/packages/4e/78/8d08c9fb7ce09ad8c38ad533c1191cf27f7ae1effe5bb9400a46d9437fcf/pyyaml-6.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c1ff362665ae507275af2853520967820d9124984e0f7466736aea23d8611fba", size = 183641, upload-time = "2025-09-25T21:32:45.407Z" }, + { url = "https://files.pythonhosted.org/packages/7b/5b/3babb19104a46945cf816d047db2788bcaf8c94527a805610b0289a01c6b/pyyaml-6.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6adc77889b628398debc7b65c073bcb99c4a0237b248cacaf3fe8a557563ef6c", size = 831901, upload-time = "2025-09-25T21:32:48.83Z" }, + { url = "https://files.pythonhosted.org/packages/8b/cc/dff0684d8dc44da4d22a13f35f073d558c268780ce3c6ba1b87055bb0b87/pyyaml-6.0.3-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a80cb027f6b349846a3bf6d73b5e95e782175e52f22108cfa17876aaeff93702", size = 861132, upload-time = "2025-09-25T21:32:50.149Z" }, + { url = "https://files.pythonhosted.org/packages/b1/5e/f77dc6b9036943e285ba76b49e118d9ea929885becb0a29ba8a7c75e29fe/pyyaml-6.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:00c4bdeba853cc34e7dd471f16b4114f4162dc03e6b7afcc2128711f0eca823c", size = 839261, upload-time = "2025-09-25T21:32:51.808Z" }, + { url = "https://files.pythonhosted.org/packages/ce/88/a9db1376aa2a228197c58b37302f284b5617f56a5d959fd1763fb1675ce6/pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:66e1674c3ef6f541c35191caae2d429b967b99e02040f5ba928632d9a7f0f065", size = 805272, upload-time = "2025-09-25T21:32:52.941Z" }, + { url = "https://files.pythonhosted.org/packages/da/92/1446574745d74df0c92e6aa4a7b0b3130706a4142b2d1a5869f2eaa423c6/pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:16249ee61e95f858e83976573de0f5b2893b3677ba71c9dd36b9cf8be9ac6d65", size = 829923, upload-time = "2025-09-25T21:32:54.537Z" }, + { url = "https://files.pythonhosted.org/packages/f0/7a/1c7270340330e575b92f397352af856a8c06f230aa3e76f86b39d01b416a/pyyaml-6.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4ad1906908f2f5ae4e5a8ddfce73c320c2a1429ec52eafd27138b7f1cbe341c9", size = 174062, upload-time = "2025-09-25T21:32:55.767Z" }, + { url = "https://files.pythonhosted.org/packages/f1/12/de94a39c2ef588c7e6455cfbe7343d3b2dc9d6b6b2f40c4c6565744c873d/pyyaml-6.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b", size = 149341, upload-time = "2025-09-25T21:32:56.828Z" }, ] [[package]] @@ -2105,16 +2363,6 @@ dependencies = [ ] sdist = { url = "https://files.pythonhosted.org/packages/04/0b/3c9baedbdf613ecaa7aa07027780b8867f57b6293b6ee50de316c9f3222b/pyzmq-27.1.0.tar.gz", hash = "sha256:ac0765e3d44455adb6ddbf4417dcce460fc40a05978c08efdf2948072f6db540", size = 281750, upload-time = "2025-09-08T23:10:18.157Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/67/b9/52aa9ec2867528b54f1e60846728d8b4d84726630874fee3a91e66c7df81/pyzmq-27.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:508e23ec9bc44c0005c4946ea013d9317ae00ac67778bd47519fdf5a0e930ff4", size = 1329850, upload-time = "2025-09-08T23:07:26.274Z" }, - { url = "https://files.pythonhosted.org/packages/99/64/5653e7b7425b169f994835a2b2abf9486264401fdef18df91ddae47ce2cc/pyzmq-27.1.0-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:507b6f430bdcf0ee48c0d30e734ea89ce5567fd7b8a0f0044a369c176aa44556", size = 906380, upload-time = "2025-09-08T23:07:29.78Z" }, - { url = "https://files.pythonhosted.org/packages/73/78/7d713284dbe022f6440e391bd1f3c48d9185673878034cfb3939cdf333b2/pyzmq-27.1.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bf7b38f9fd7b81cb6d9391b2946382c8237fd814075c6aa9c3b746d53076023b", size = 666421, upload-time = "2025-09-08T23:07:31.263Z" }, - { url = "https://files.pythonhosted.org/packages/30/76/8f099f9d6482450428b17c4d6b241281af7ce6a9de8149ca8c1c649f6792/pyzmq-27.1.0-cp310-cp310-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:03ff0b279b40d687691a6217c12242ee71f0fba28bf8626ff50e3ef0f4410e1e", size = 854149, upload-time = "2025-09-08T23:07:33.17Z" }, - { url = "https://files.pythonhosted.org/packages/59/f0/37fbfff06c68016019043897e4c969ceab18bde46cd2aca89821fcf4fb2e/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:677e744fee605753eac48198b15a2124016c009a11056f93807000ab11ce6526", size = 1655070, upload-time = "2025-09-08T23:07:35.205Z" }, - { url = "https://files.pythonhosted.org/packages/47/14/7254be73f7a8edc3587609554fcaa7bfd30649bf89cd260e4487ca70fdaa/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:dd2fec2b13137416a1c5648b7009499bcc8fea78154cd888855fa32514f3dad1", size = 2033441, upload-time = "2025-09-08T23:07:37.432Z" }, - { url = "https://files.pythonhosted.org/packages/22/dc/49f2be26c6f86f347e796a4d99b19167fc94503f0af3fd010ad262158822/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:08e90bb4b57603b84eab1d0ca05b3bbb10f60c1839dc471fc1c9e1507bef3386", size = 1891529, upload-time = "2025-09-08T23:07:39.047Z" }, - { url = "https://files.pythonhosted.org/packages/a3/3e/154fb963ae25be70c0064ce97776c937ecc7d8b0259f22858154a9999769/pyzmq-27.1.0-cp310-cp310-win32.whl", hash = "sha256:a5b42d7a0658b515319148875fcb782bbf118dd41c671b62dae33666c2213bda", size = 567276, upload-time = "2025-09-08T23:07:40.695Z" }, - { url = "https://files.pythonhosted.org/packages/62/b2/f4ab56c8c595abcb26b2be5fd9fa9e6899c1e5ad54964e93ae8bb35482be/pyzmq-27.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0bb87227430ee3aefcc0ade2088100e528d5d3298a0a715a64f3d04c60ba02f", size = 632208, upload-time = "2025-09-08T23:07:42.298Z" }, - { url = "https://files.pythonhosted.org/packages/3b/e3/be2cc7ab8332bdac0522fdb64c17b1b6241a795bee02e0196636ec5beb79/pyzmq-27.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:9a916f76c2ab8d045b19f2286851a38e9ac94ea91faf65bd64735924522a8b32", size = 559766, upload-time = "2025-09-08T23:07:43.869Z" }, { url = "https://files.pythonhosted.org/packages/06/5d/305323ba86b284e6fcb0d842d6adaa2999035f70f8c38a9b6d21ad28c3d4/pyzmq-27.1.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:226b091818d461a3bef763805e75685e478ac17e9008f49fce2d3e52b3d58b86", size = 1333328, upload-time = "2025-09-08T23:07:45.946Z" }, { url = "https://files.pythonhosted.org/packages/bd/a0/fc7e78a23748ad5443ac3275943457e8452da67fda347e05260261108cbc/pyzmq-27.1.0-cp311-cp311-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:0790a0161c281ca9723f804871b4027f2e8b5a528d357c8952d08cd1a9c15581", size = 908803, upload-time = "2025-09-08T23:07:47.551Z" }, { url = "https://files.pythonhosted.org/packages/7e/22/37d15eb05f3bdfa4abea6f6d96eb3bb58585fbd3e4e0ded4e743bc650c97/pyzmq-27.1.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c895a6f35476b0c3a54e3eb6ccf41bf3018de937016e6e18748317f25d4e925f", size = 668836, upload-time = "2025-09-08T23:07:49.436Z" }, @@ -2135,11 +2383,28 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e6/2f/104c0a3c778d7c2ab8190e9db4f62f0b6957b53c9d87db77c284b69f33ea/pyzmq-27.1.0-cp312-abi3-win32.whl", hash = "sha256:250e5436a4ba13885494412b3da5d518cd0d3a278a1ae640e113c073a5f88edd", size = 559184, upload-time = "2025-09-08T23:08:15.163Z" }, { url = "https://files.pythonhosted.org/packages/fc/7f/a21b20d577e4100c6a41795842028235998a643b1ad406a6d4163ea8f53e/pyzmq-27.1.0-cp312-abi3-win_amd64.whl", hash = "sha256:9ce490cf1d2ca2ad84733aa1d69ce6855372cb5ce9223802450c9b2a7cba0ccf", size = 619480, upload-time = "2025-09-08T23:08:17.192Z" }, { url = "https://files.pythonhosted.org/packages/78/c2/c012beae5f76b72f007a9e91ee9401cb88c51d0f83c6257a03e785c81cc2/pyzmq-27.1.0-cp312-abi3-win_arm64.whl", hash = "sha256:75a2f36223f0d535a0c919e23615fc85a1e23b71f40c7eb43d7b1dedb4d8f15f", size = 552993, upload-time = "2025-09-08T23:08:18.926Z" }, - { url = "https://files.pythonhosted.org/packages/f3/81/a65e71c1552f74dec9dff91d95bafb6e0d33338a8dfefbc88aa562a20c92/pyzmq-27.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c17e03cbc9312bee223864f1a2b13a99522e0dc9f7c5df0177cd45210ac286e6", size = 836266, upload-time = "2025-09-08T23:09:40.048Z" }, - { url = "https://files.pythonhosted.org/packages/58/ed/0202ca350f4f2b69faa95c6d931e3c05c3a397c184cacb84cb4f8f42f287/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:f328d01128373cb6763823b2b4e7f73bdf767834268c565151eacb3b7a392f90", size = 800206, upload-time = "2025-09-08T23:09:41.902Z" }, - { url = "https://files.pythonhosted.org/packages/47/42/1ff831fa87fe8f0a840ddb399054ca0009605d820e2b44ea43114f5459f4/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c1790386614232e1b3a40a958454bdd42c6d1811837b15ddbb052a032a43f62", size = 567747, upload-time = "2025-09-08T23:09:43.741Z" }, - { url = "https://files.pythonhosted.org/packages/d1/db/5c4d6807434751e3f21231bee98109aa57b9b9b55e058e450d0aef59b70f/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:448f9cb54eb0cee4732b46584f2710c8bc178b0e5371d9e4fc8125201e413a74", size = 747371, upload-time = "2025-09-08T23:09:45.575Z" }, - { url = "https://files.pythonhosted.org/packages/26/af/78ce193dbf03567eb8c0dc30e3df2b9e56f12a670bf7eb20f9fb532c7e8a/pyzmq-27.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:05b12f2d32112bf8c95ef2e74ec4f1d4beb01f8b5e703b38537f8849f92cb9ba", size = 544862, upload-time = "2025-09-08T23:09:47.448Z" }, + { url = "https://files.pythonhosted.org/packages/60/cb/84a13459c51da6cec1b7b1dc1a47e6db6da50b77ad7fd9c145842750a011/pyzmq-27.1.0-cp313-cp313-android_24_arm64_v8a.whl", hash = "sha256:93ad4b0855a664229559e45c8d23797ceac03183c7b6f5b4428152a6b06684a5", size = 1122436, upload-time = "2025-09-08T23:08:20.801Z" }, + { url = "https://files.pythonhosted.org/packages/dc/b6/94414759a69a26c3dd674570a81813c46a078767d931a6c70ad29fc585cb/pyzmq-27.1.0-cp313-cp313-android_24_x86_64.whl", hash = "sha256:fbb4f2400bfda24f12f009cba62ad5734148569ff4949b1b6ec3b519444342e6", size = 1156301, upload-time = "2025-09-08T23:08:22.47Z" }, + { url = "https://files.pythonhosted.org/packages/a5/ad/15906493fd40c316377fd8a8f6b1f93104f97a752667763c9b9c1b71d42d/pyzmq-27.1.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:e343d067f7b151cfe4eb3bb796a7752c9d369eed007b91231e817071d2c2fec7", size = 1341197, upload-time = "2025-09-08T23:08:24.286Z" }, + { url = "https://files.pythonhosted.org/packages/14/1d/d343f3ce13db53a54cb8946594e567410b2125394dafcc0268d8dda027e0/pyzmq-27.1.0-cp313-cp313t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:08363b2011dec81c354d694bdecaef4770e0ae96b9afea70b3f47b973655cc05", size = 897275, upload-time = "2025-09-08T23:08:26.063Z" }, + { url = "https://files.pythonhosted.org/packages/69/2d/d83dd6d7ca929a2fc67d2c3005415cdf322af7751d773524809f9e585129/pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d54530c8c8b5b8ddb3318f481297441af102517602b569146185fa10b63f4fa9", size = 660469, upload-time = "2025-09-08T23:08:27.623Z" }, + { url = "https://files.pythonhosted.org/packages/3e/cd/9822a7af117f4bc0f1952dbe9ef8358eb50a24928efd5edf54210b850259/pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6f3afa12c392f0a44a2414056d730eebc33ec0926aae92b5ad5cf26ebb6cc128", size = 847961, upload-time = "2025-09-08T23:08:29.672Z" }, + { url = "https://files.pythonhosted.org/packages/9a/12/f003e824a19ed73be15542f172fd0ec4ad0b60cf37436652c93b9df7c585/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c65047adafe573ff023b3187bb93faa583151627bc9c51fc4fb2c561ed689d39", size = 1650282, upload-time = "2025-09-08T23:08:31.349Z" }, + { url = "https://files.pythonhosted.org/packages/d5/4a/e82d788ed58e9a23995cee70dbc20c9aded3d13a92d30d57ec2291f1e8a3/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:90e6e9441c946a8b0a667356f7078d96411391a3b8f80980315455574177ec97", size = 2024468, upload-time = "2025-09-08T23:08:33.543Z" }, + { url = "https://files.pythonhosted.org/packages/d9/94/2da0a60841f757481e402b34bf4c8bf57fa54a5466b965de791b1e6f747d/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:add071b2d25f84e8189aaf0882d39a285b42fa3853016ebab234a5e78c7a43db", size = 1885394, upload-time = "2025-09-08T23:08:35.51Z" }, + { url = "https://files.pythonhosted.org/packages/4f/6f/55c10e2e49ad52d080dc24e37adb215e5b0d64990b57598abc2e3f01725b/pyzmq-27.1.0-cp313-cp313t-win32.whl", hash = "sha256:7ccc0700cfdf7bd487bea8d850ec38f204478681ea02a582a8da8171b7f90a1c", size = 574964, upload-time = "2025-09-08T23:08:37.178Z" }, + { url = "https://files.pythonhosted.org/packages/87/4d/2534970ba63dd7c522d8ca80fb92777f362c0f321900667c615e2067cb29/pyzmq-27.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:8085a9fba668216b9b4323be338ee5437a235fe275b9d1610e422ccc279733e2", size = 641029, upload-time = "2025-09-08T23:08:40.595Z" }, + { url = "https://files.pythonhosted.org/packages/f6/fa/f8aea7a28b0641f31d40dea42d7ef003fded31e184ef47db696bc74cd610/pyzmq-27.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:6bb54ca21bcfe361e445256c15eedf083f153811c37be87e0514934d6913061e", size = 561541, upload-time = "2025-09-08T23:08:42.668Z" }, + { url = "https://files.pythonhosted.org/packages/87/45/19efbb3000956e82d0331bafca5d9ac19ea2857722fa2caacefb6042f39d/pyzmq-27.1.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:ce980af330231615756acd5154f29813d553ea555485ae712c491cd483df6b7a", size = 1341197, upload-time = "2025-09-08T23:08:44.973Z" }, + { url = "https://files.pythonhosted.org/packages/48/43/d72ccdbf0d73d1343936296665826350cb1e825f92f2db9db3e61c2162a2/pyzmq-27.1.0-cp314-cp314t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1779be8c549e54a1c38f805e56d2a2e5c009d26de10921d7d51cfd1c8d4632ea", size = 897175, upload-time = "2025-09-08T23:08:46.601Z" }, + { url = "https://files.pythonhosted.org/packages/2f/2e/a483f73a10b65a9ef0161e817321d39a770b2acf8bcf3004a28d90d14a94/pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7200bb0f03345515df50d99d3db206a0a6bee1955fbb8c453c76f5bf0e08fb96", size = 660427, upload-time = "2025-09-08T23:08:48.187Z" }, + { url = "https://files.pythonhosted.org/packages/f5/d2/5f36552c2d3e5685abe60dfa56f91169f7a2d99bbaf67c5271022ab40863/pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:01c0e07d558b06a60773744ea6251f769cd79a41a97d11b8bf4ab8f034b0424d", size = 847929, upload-time = "2025-09-08T23:08:49.76Z" }, + { url = "https://files.pythonhosted.org/packages/c4/2a/404b331f2b7bf3198e9945f75c4c521f0c6a3a23b51f7a4a401b94a13833/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:80d834abee71f65253c91540445d37c4c561e293ba6e741b992f20a105d69146", size = 1650193, upload-time = "2025-09-08T23:08:51.7Z" }, + { url = "https://files.pythonhosted.org/packages/1c/0b/f4107e33f62a5acf60e3ded67ed33d79b4ce18de432625ce2fc5093d6388/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:544b4e3b7198dde4a62b8ff6685e9802a9a1ebf47e77478a5eb88eca2a82f2fd", size = 2024388, upload-time = "2025-09-08T23:08:53.393Z" }, + { url = "https://files.pythonhosted.org/packages/0d/01/add31fe76512642fd6e40e3a3bd21f4b47e242c8ba33efb6809e37076d9b/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:cedc4c68178e59a4046f97eca31b148ddcf51e88677de1ef4e78cf06c5376c9a", size = 1885316, upload-time = "2025-09-08T23:08:55.702Z" }, + { url = "https://files.pythonhosted.org/packages/c4/59/a5f38970f9bf07cee96128de79590bb354917914a9be11272cfc7ff26af0/pyzmq-27.1.0-cp314-cp314t-win32.whl", hash = "sha256:1f0b2a577fd770aa6f053211a55d1c47901f4d537389a034c690291485e5fe92", size = 587472, upload-time = "2025-09-08T23:08:58.18Z" }, + { url = "https://files.pythonhosted.org/packages/70/d8/78b1bad170f93fcf5e3536e70e8fadac55030002275c9a29e8f5719185de/pyzmq-27.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:19c9468ae0437f8074af379e986c5d3d7d7bfe033506af442e8c879732bedbe0", size = 661401, upload-time = "2025-09-08T23:08:59.802Z" }, + { url = "https://files.pythonhosted.org/packages/81/d6/4bfbb40c9a0b42fc53c7cf442f6385db70b40f74a783130c5d0a5aa62228/pyzmq-27.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:dc5dbf68a7857b59473f7df42650c621d7e8923fb03fa74a526890f4d33cc4d7", size = 575170, upload-time = "2025-09-08T23:09:01.418Z" }, { url = "https://files.pythonhosted.org/packages/4c/c6/c4dcdecdbaa70969ee1fdced6d7b8f60cfabe64d25361f27ac4665a70620/pyzmq-27.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:18770c8d3563715387139060d37859c02ce40718d1faf299abddcdcc6a649066", size = 836265, upload-time = "2025-09-08T23:09:49.376Z" }, { url = "https://files.pythonhosted.org/packages/3e/79/f38c92eeaeb03a2ccc2ba9866f0439593bb08c5e3b714ac1d553e5c96e25/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:ac25465d42f92e990f8d8b0546b01c391ad431c3bf447683fdc40565941d0604", size = 800208, upload-time = "2025-09-08T23:09:51.073Z" }, { url = "https://files.pythonhosted.org/packages/49/0e/3f0d0d335c6b3abb9b7b723776d0b21fa7f3a6c819a0db6097059aada160/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53b40f8ae006f2734ee7608d59ed661419f087521edbfc2149c3932e9c14808c", size = 567747, upload-time = "2025-09-08T23:09:52.698Z" }, @@ -2149,17 +2414,16 @@ wheels = [ [[package]] name = "quadax" -version = "0.2.11" +version = "0.2.12" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "equinox" }, { name = "jax" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/ab/fa/aee760dec585f6a2fc51db967813508f030353da22d38d97ba41e0e9c7bc/quadax-0.2.11.tar.gz", hash = "sha256:397ca546ed8dcbc95262a76228803b5d2e609883405e4565b1431e291792014d", size = 36318, upload-time = "2025-11-03T19:01:09.634Z" } +sdist = { url = "https://files.pythonhosted.org/packages/6b/3b/90133d11a4d0466e7246b8e2d360262736120b559b58249e15ee5ef6fbbc/quadax-0.2.12.tar.gz", hash = "sha256:ba0814107f617b67b3c3338d86ee1fc82aec91ead88747430619044e8bb2f3cd", size = 36346, upload-time = "2026-03-17T03:21:25.801Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c9/87/2e2d737e15f503bfa25100033e199dd247227816baa1f2c894276f6b5a9b/quadax-0.2.11-py3-none-any.whl", hash = "sha256:a191a8bb1b1eff3f769fa395d1e973ed67ce24846ad10e21009a3ec573e9773a", size = 31593, upload-time = "2025-11-03T19:01:07.934Z" }, + { url = "https://files.pythonhosted.org/packages/bb/e0/9c5bbe2582778ffb3096ffa592feb010aa6d436031371f1ece25cb9a20fd/quadax-0.2.12-py3-none-any.whl", hash = "sha256:bf2f5c75a15e6ddaf7167066fcee9ab370c68abe0bfae1a3c95422bed7f128bb", size = 31601, upload-time = "2026-03-17T03:21:24.243Z" }, ] [[package]] @@ -2177,112 +2441,107 @@ wheels = [ [[package]] name = "ruff" -version = "0.15.2" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/06/04/eab13a954e763b0606f460443fcbf6bb5a0faf06890ea3754ff16523dce5/ruff-0.15.2.tar.gz", hash = "sha256:14b965afee0969e68bb871eba625343b8673375f457af4abe98553e8bbb98342", size = 4558148, upload-time = "2026-02-19T22:32:20.271Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/2f/70/3a4dc6d09b13cb3e695f28307e5d889b2e1a66b7af9c5e257e796695b0e6/ruff-0.15.2-py3-none-linux_armv6l.whl", hash = "sha256:120691a6fdae2f16d65435648160f5b81a9625288f75544dc40637436b5d3c0d", size = 10430565, upload-time = "2026-02-19T22:32:41.824Z" }, - { url = "https://files.pythonhosted.org/packages/71/0b/bb8457b56185ece1305c666dc895832946d24055be90692381c31d57466d/ruff-0.15.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:a89056d831256099658b6bba4037ac6dd06f49d194199215befe2bb10457ea5e", size = 10820354, upload-time = "2026-02-19T22:32:07.366Z" }, - { url = "https://files.pythonhosted.org/packages/2d/c1/e0532d7f9c9e0b14c46f61b14afd563298b8b83f337b6789ddd987e46121/ruff-0.15.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:e36dee3a64be0ebd23c86ffa3aa3fd3ac9a712ff295e192243f814a830b6bd87", size = 10170767, upload-time = "2026-02-19T22:32:13.188Z" }, - { url = "https://files.pythonhosted.org/packages/47/e8/da1aa341d3af017a21c7a62fb5ec31d4e7ad0a93ab80e3a508316efbcb23/ruff-0.15.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a9fb47b6d9764677f8c0a193c0943ce9a05d6763523f132325af8a858eadc2b9", size = 10529591, upload-time = "2026-02-19T22:32:02.547Z" }, - { url = "https://files.pythonhosted.org/packages/93/74/184fbf38e9f3510231fbc5e437e808f0b48c42d1df9434b208821efcd8d6/ruff-0.15.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f376990f9d0d6442ea9014b19621d8f2aaf2b8e39fdbfc79220b7f0c596c9b80", size = 10260771, upload-time = "2026-02-19T22:32:36.938Z" }, - { url = "https://files.pythonhosted.org/packages/05/ac/605c20b8e059a0bc4b42360414baa4892ff278cec1c91fff4be0dceedefd/ruff-0.15.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2dcc987551952d73cbf5c88d9fdee815618d497e4df86cd4c4824cc59d5dd75f", size = 11045791, upload-time = "2026-02-19T22:32:31.642Z" }, - { url = "https://files.pythonhosted.org/packages/fd/52/db6e419908f45a894924d410ac77d64bdd98ff86901d833364251bd08e22/ruff-0.15.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:42a47fd785cbe8c01b9ff45031af875d101b040ad8f4de7bbb716487c74c9a77", size = 11879271, upload-time = "2026-02-19T22:32:29.305Z" }, - { url = "https://files.pythonhosted.org/packages/3e/d8/7992b18f2008bdc9231d0f10b16df7dda964dbf639e2b8b4c1b4e91b83af/ruff-0.15.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cbe9f49354866e575b4c6943856989f966421870e85cd2ac94dccb0a9dcb2fea", size = 11303707, upload-time = "2026-02-19T22:32:22.492Z" }, - { url = "https://files.pythonhosted.org/packages/d7/02/849b46184bcfdd4b64cde61752cc9a146c54759ed036edd11857e9b8443b/ruff-0.15.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7a672c82b5f9887576087d97be5ce439f04bbaf548ee987b92d3a7dede41d3a", size = 11149151, upload-time = "2026-02-19T22:32:44.234Z" }, - { url = "https://files.pythonhosted.org/packages/70/04/f5284e388bab60d1d3b99614a5a9aeb03e0f333847e2429bebd2aaa1feec/ruff-0.15.2-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:72ecc64f46f7019e2bcc3cdc05d4a7da958b629a5ab7033195e11a438403d956", size = 11091132, upload-time = "2026-02-19T22:32:24.691Z" }, - { url = "https://files.pythonhosted.org/packages/fa/ae/88d844a21110e14d92cf73d57363fab59b727ebeabe78009b9ccb23500af/ruff-0.15.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:8dcf243b15b561c655c1ef2f2b0050e5d50db37fe90115507f6ff37d865dc8b4", size = 10504717, upload-time = "2026-02-19T22:32:26.75Z" }, - { url = "https://files.pythonhosted.org/packages/64/27/867076a6ada7f2b9c8292884ab44d08fd2ba71bd2b5364d4136f3cd537e1/ruff-0.15.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:dab6941c862c05739774677c6273166d2510d254dac0695c0e3f5efa1b5585de", size = 10263122, upload-time = "2026-02-19T22:32:10.036Z" }, - { url = "https://files.pythonhosted.org/packages/e7/ef/faf9321d550f8ebf0c6373696e70d1758e20ccdc3951ad7af00c0956be7c/ruff-0.15.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:1b9164f57fc36058e9a6806eb92af185b0697c9fe4c7c52caa431c6554521e5c", size = 10735295, upload-time = "2026-02-19T22:32:39.227Z" }, - { url = "https://files.pythonhosted.org/packages/2f/55/e8089fec62e050ba84d71b70e7834b97709ca9b7aba10c1a0b196e493f97/ruff-0.15.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:80d24fcae24d42659db7e335b9e1531697a7102c19185b8dc4a028b952865fd8", size = 11241641, upload-time = "2026-02-19T22:32:34.617Z" }, - { url = "https://files.pythonhosted.org/packages/23/01/1c30526460f4d23222d0fabd5888868262fd0e2b71a00570ca26483cd993/ruff-0.15.2-py3-none-win32.whl", hash = "sha256:fd5ff9e5f519a7e1bd99cbe8daa324010a74f5e2ebc97c6242c08f26f3714f6f", size = 10507885, upload-time = "2026-02-19T22:32:15.635Z" }, - { url = "https://files.pythonhosted.org/packages/5c/10/3d18e3bbdf8fc50bbb4ac3cc45970aa5a9753c5cb51bf9ed9a3cd8b79fa3/ruff-0.15.2-py3-none-win_amd64.whl", hash = "sha256:d20014e3dfa400f3ff84830dfb5755ece2de45ab62ecea4af6b7262d0fb4f7c5", size = 11623725, upload-time = "2026-02-19T22:32:04.947Z" }, - { url = "https://files.pythonhosted.org/packages/6d/78/097c0798b1dab9f8affe73da9642bb4500e098cb27fd8dc9724816ac747b/ruff-0.15.2-py3-none-win_arm64.whl", hash = "sha256:cabddc5822acdc8f7b5527b36ceac55cc51eec7b1946e60181de8fe83ca8876e", size = 10941649, upload-time = "2026-02-19T22:32:18.108Z" }, +version = "0.15.9" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e6/97/e9f1ca355108ef7194e38c812ef40ba98c7208f47b13ad78d023caa583da/ruff-0.15.9.tar.gz", hash = "sha256:29cbb1255a9797903f6dde5ba0188c707907ff44a9006eb273b5a17bfa0739a2", size = 4617361, upload-time = "2026-04-02T18:17:20.829Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0b/1f/9cdfd0ac4b9d1e5a6cf09bedabdf0b56306ab5e333c85c87281273e7b041/ruff-0.15.9-py3-none-linux_armv6l.whl", hash = "sha256:6efbe303983441c51975c243e26dff328aca11f94b70992f35b093c2e71801e1", size = 10511206, upload-time = "2026-04-02T18:16:41.574Z" }, + { url = "https://files.pythonhosted.org/packages/3d/f6/32bfe3e9c136b35f02e489778d94384118bb80fd92c6d92e7ccd97db12ce/ruff-0.15.9-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:4965bac6ac9ea86772f4e23587746f0b7a395eccabb823eb8bfacc3fa06069f7", size = 10923307, upload-time = "2026-04-02T18:17:08.645Z" }, + { url = "https://files.pythonhosted.org/packages/ca/25/de55f52ab5535d12e7aaba1de37a84be6179fb20bddcbe71ec091b4a3243/ruff-0.15.9-py3-none-macosx_11_0_arm64.whl", hash = "sha256:eaf05aad70ca5b5a0a4b0e080df3a6b699803916d88f006efd1f5b46302daab8", size = 10316722, upload-time = "2026-04-02T18:16:44.206Z" }, + { url = "https://files.pythonhosted.org/packages/48/11/690d75f3fd6278fe55fff7c9eb429c92d207e14b25d1cae4064a32677029/ruff-0.15.9-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9439a342adb8725f32f92732e2bafb6d5246bd7a5021101166b223d312e8fc59", size = 10623674, upload-time = "2026-04-02T18:16:50.951Z" }, + { url = "https://files.pythonhosted.org/packages/bd/ec/176f6987be248fc5404199255522f57af1b4a5a1b57727e942479fec98ad/ruff-0.15.9-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9c5e6faf9d97c8edc43877c3f406f47446fc48c40e1442d58cfcdaba2acea745", size = 10351516, upload-time = "2026-04-02T18:16:57.206Z" }, + { url = "https://files.pythonhosted.org/packages/b2/fc/51cffbd2b3f240accc380171d51446a32aa2ea43a40d4a45ada67368fbd2/ruff-0.15.9-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7b34a9766aeec27a222373d0b055722900fbc0582b24f39661aa96f3fe6ad901", size = 11150202, upload-time = "2026-04-02T18:17:06.452Z" }, + { url = "https://files.pythonhosted.org/packages/d6/d4/25292a6dfc125f6b6528fe6af31f5e996e19bf73ca8e3ce6eb7fa5b95885/ruff-0.15.9-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:89dd695bc72ae76ff484ae54b7e8b0f6b50f49046e198355e44ea656e521fef9", size = 11988891, upload-time = "2026-04-02T18:17:18.575Z" }, + { url = "https://files.pythonhosted.org/packages/13/e1/1eebcb885c10e19f969dcb93d8413dfee8172578709d7ee933640f5e7147/ruff-0.15.9-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ce187224ef1de1bd225bc9a152ac7102a6171107f026e81f317e4257052916d5", size = 11480576, upload-time = "2026-04-02T18:16:52.986Z" }, + { url = "https://files.pythonhosted.org/packages/ff/6b/a1548ac378a78332a4c3dcf4a134c2475a36d2a22ddfa272acd574140b50/ruff-0.15.9-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2b0c7c341f68adb01c488c3b7d4b49aa8ea97409eae6462d860a79cf55f431b6", size = 11254525, upload-time = "2026-04-02T18:17:02.041Z" }, + { url = "https://files.pythonhosted.org/packages/42/aa/4bb3af8e61acd9b1281db2ab77e8b2c3c5e5599bf2a29d4a942f1c62b8d6/ruff-0.15.9-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:55cc15eee27dc0eebdfcb0d185a6153420efbedc15eb1d38fe5e685657b0f840", size = 11204072, upload-time = "2026-04-02T18:17:13.581Z" }, + { url = "https://files.pythonhosted.org/packages/69/48/d550dc2aa6e423ea0bcc1d0ff0699325ffe8a811e2dba156bd80750b86dc/ruff-0.15.9-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:a6537f6eed5cda688c81073d46ffdfb962a5f29ecb6f7e770b2dc920598997ed", size = 10594998, upload-time = "2026-04-02T18:16:46.369Z" }, + { url = "https://files.pythonhosted.org/packages/63/47/321167e17f5344ed5ec6b0aa2cff64efef5f9e985af8f5622cfa6536043f/ruff-0.15.9-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:6d3fcbca7388b066139c523bda744c822258ebdcfbba7d24410c3f454cc9af71", size = 10359769, upload-time = "2026-04-02T18:17:10.994Z" }, + { url = "https://files.pythonhosted.org/packages/67/5e/074f00b9785d1d2c6f8c22a21e023d0c2c1817838cfca4c8243200a1fa87/ruff-0.15.9-py3-none-musllinux_1_2_i686.whl", hash = "sha256:058d8e99e1bfe79d8a0def0b481c56059ee6716214f7e425d8e737e412d69677", size = 10850236, upload-time = "2026-04-02T18:16:48.749Z" }, + { url = "https://files.pythonhosted.org/packages/76/37/804c4135a2a2caf042925d30d5f68181bdbd4461fd0d7739da28305df593/ruff-0.15.9-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:8e1ddb11dbd61d5983fa2d7d6370ef3eb210951e443cace19594c01c72abab4c", size = 11358343, upload-time = "2026-04-02T18:16:55.068Z" }, + { url = "https://files.pythonhosted.org/packages/88/3d/1364fcde8656962782aa9ea93c92d98682b1ecec2f184e625a965ad3b4a6/ruff-0.15.9-py3-none-win32.whl", hash = "sha256:bde6ff36eaf72b700f32b7196088970bf8fdb2b917b7accd8c371bfc0fd573ec", size = 10583382, upload-time = "2026-04-02T18:17:04.261Z" }, + { url = "https://files.pythonhosted.org/packages/4c/56/5c7084299bd2cacaa07ae63a91c6f4ba66edc08bf28f356b24f6b717c799/ruff-0.15.9-py3-none-win_amd64.whl", hash = "sha256:45a70921b80e1c10cf0b734ef09421f71b5aa11d27404edc89d7e8a69505e43d", size = 11744969, upload-time = "2026-04-02T18:16:59.611Z" }, + { url = "https://files.pythonhosted.org/packages/03/36/76704c4f312257d6dbaae3c959add2a622f63fcca9d864659ce6d8d97d3d/ruff-0.15.9-py3-none-win_arm64.whl", hash = "sha256:0694e601c028fd97dc5c6ee244675bc241aeefced7ef80cd9c6935a871078f53", size = 11005870, upload-time = "2026-04-02T18:17:15.773Z" }, ] [[package]] name = "scipy" -version = "1.15.3" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11'", -] -dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/0f/37/6964b830433e654ec7485e45a00fc9a27cf868d622838f6b6d9c5ec0d532/scipy-1.15.3.tar.gz", hash = "sha256:eae3cf522bc7df64b42cad3925c876e1b0b6c35c1337c93e12c0f366f55b0eaf", size = 59419214, upload-time = "2025-05-08T16:13:05.955Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/78/2f/4966032c5f8cc7e6a60f1b2e0ad686293b9474b65246b0c642e3ef3badd0/scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c", size = 38702770, upload-time = "2025-05-08T16:04:20.849Z" }, - { url = "https://files.pythonhosted.org/packages/a0/6e/0c3bf90fae0e910c274db43304ebe25a6b391327f3f10b5dcc638c090795/scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253", size = 30094511, upload-time = "2025-05-08T16:04:27.103Z" }, - { url = "https://files.pythonhosted.org/packages/ea/b1/4deb37252311c1acff7f101f6453f0440794f51b6eacb1aad4459a134081/scipy-1.15.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:aef683a9ae6eb00728a542b796f52a5477b78252edede72b8327a886ab63293f", size = 22368151, upload-time = "2025-05-08T16:04:31.731Z" }, - { url = "https://files.pythonhosted.org/packages/38/7d/f457626e3cd3c29b3a49ca115a304cebb8cc6f31b04678f03b216899d3c6/scipy-1.15.3-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:1c832e1bd78dea67d5c16f786681b28dd695a8cb1fb90af2e27580d3d0967e92", size = 25121732, upload-time = "2025-05-08T16:04:36.596Z" }, - { url = "https://files.pythonhosted.org/packages/db/0a/92b1de4a7adc7a15dcf5bddc6e191f6f29ee663b30511ce20467ef9b82e4/scipy-1.15.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:263961f658ce2165bbd7b99fa5135195c3a12d9bef045345016b8b50c315cb82", size = 35547617, upload-time = "2025-05-08T16:04:43.546Z" }, - { url = "https://files.pythonhosted.org/packages/8e/6d/41991e503e51fc1134502694c5fa7a1671501a17ffa12716a4a9151af3df/scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e2abc762b0811e09a0d3258abee2d98e0c703eee49464ce0069590846f31d40", size = 37662964, upload-time = "2025-05-08T16:04:49.431Z" }, - { url = "https://files.pythonhosted.org/packages/25/e1/3df8f83cb15f3500478c889be8fb18700813b95e9e087328230b98d547ff/scipy-1.15.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ed7284b21a7a0c8f1b6e5977ac05396c0d008b89e05498c8b7e8f4a1423bba0e", size = 37238749, upload-time = "2025-05-08T16:04:55.215Z" }, - { url = "https://files.pythonhosted.org/packages/93/3e/b3257cf446f2a3533ed7809757039016b74cd6f38271de91682aa844cfc5/scipy-1.15.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5380741e53df2c566f4d234b100a484b420af85deb39ea35a1cc1be84ff53a5c", size = 40022383, upload-time = "2025-05-08T16:05:01.914Z" }, - { url = "https://files.pythonhosted.org/packages/d1/84/55bc4881973d3f79b479a5a2e2df61c8c9a04fcb986a213ac9c02cfb659b/scipy-1.15.3-cp310-cp310-win_amd64.whl", hash = "sha256:9d61e97b186a57350f6d6fd72640f9e99d5a4a2b8fbf4b9ee9a841eab327dc13", size = 41259201, upload-time = "2025-05-08T16:05:08.166Z" }, - { url = "https://files.pythonhosted.org/packages/96/ab/5cc9f80f28f6a7dff646c5756e559823614a42b1939d86dd0ed550470210/scipy-1.15.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:993439ce220d25e3696d1b23b233dd010169b62f6456488567e830654ee37a6b", size = 38714255, upload-time = "2025-05-08T16:05:14.596Z" }, - { url = "https://files.pythonhosted.org/packages/4a/4a/66ba30abe5ad1a3ad15bfb0b59d22174012e8056ff448cb1644deccbfed2/scipy-1.15.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:34716e281f181a02341ddeaad584205bd2fd3c242063bd3423d61ac259ca7eba", size = 30111035, upload-time = "2025-05-08T16:05:20.152Z" }, - { url = "https://files.pythonhosted.org/packages/4b/fa/a7e5b95afd80d24313307f03624acc65801846fa75599034f8ceb9e2cbf6/scipy-1.15.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3b0334816afb8b91dab859281b1b9786934392aa3d527cd847e41bb6f45bee65", size = 22384499, upload-time = "2025-05-08T16:05:24.494Z" }, - { url = "https://files.pythonhosted.org/packages/17/99/f3aaddccf3588bb4aea70ba35328c204cadd89517a1612ecfda5b2dd9d7a/scipy-1.15.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:6db907c7368e3092e24919b5e31c76998b0ce1684d51a90943cb0ed1b4ffd6c1", size = 25152602, upload-time = "2025-05-08T16:05:29.313Z" }, - { url = "https://files.pythonhosted.org/packages/56/c5/1032cdb565f146109212153339f9cb8b993701e9fe56b1c97699eee12586/scipy-1.15.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:721d6b4ef5dc82ca8968c25b111e307083d7ca9091bc38163fb89243e85e3889", size = 35503415, upload-time = "2025-05-08T16:05:34.699Z" }, - { url = "https://files.pythonhosted.org/packages/bd/37/89f19c8c05505d0601ed5650156e50eb881ae3918786c8fd7262b4ee66d3/scipy-1.15.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39cb9c62e471b1bb3750066ecc3a3f3052b37751c7c3dfd0fd7e48900ed52982", size = 37652622, upload-time = "2025-05-08T16:05:40.762Z" }, - { url = "https://files.pythonhosted.org/packages/7e/31/be59513aa9695519b18e1851bb9e487de66f2d31f835201f1b42f5d4d475/scipy-1.15.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:795c46999bae845966368a3c013e0e00947932d68e235702b5c3f6ea799aa8c9", size = 37244796, upload-time = "2025-05-08T16:05:48.119Z" }, - { url = "https://files.pythonhosted.org/packages/10/c0/4f5f3eeccc235632aab79b27a74a9130c6c35df358129f7ac8b29f562ac7/scipy-1.15.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:18aaacb735ab38b38db42cb01f6b92a2d0d4b6aabefeb07f02849e47f8fb3594", size = 40047684, upload-time = "2025-05-08T16:05:54.22Z" }, - { url = "https://files.pythonhosted.org/packages/ab/a7/0ddaf514ce8a8714f6ed243a2b391b41dbb65251affe21ee3077ec45ea9a/scipy-1.15.3-cp311-cp311-win_amd64.whl", hash = "sha256:ae48a786a28412d744c62fd7816a4118ef97e5be0bee968ce8f0a2fba7acf3bb", size = 41246504, upload-time = "2025-05-08T16:06:00.437Z" }, - { url = "https://files.pythonhosted.org/packages/37/4b/683aa044c4162e10ed7a7ea30527f2cbd92e6999c10a8ed8edb253836e9c/scipy-1.15.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6ac6310fdbfb7aa6612408bd2f07295bcbd3fda00d2d702178434751fe48e019", size = 38766735, upload-time = "2025-05-08T16:06:06.471Z" }, - { url = "https://files.pythonhosted.org/packages/7b/7e/f30be3d03de07f25dc0ec926d1681fed5c732d759ac8f51079708c79e680/scipy-1.15.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:185cd3d6d05ca4b44a8f1595af87f9c372bb6acf9c808e99aa3e9aa03bd98cf6", size = 30173284, upload-time = "2025-05-08T16:06:11.686Z" }, - { url = "https://files.pythonhosted.org/packages/07/9c/0ddb0d0abdabe0d181c1793db51f02cd59e4901da6f9f7848e1f96759f0d/scipy-1.15.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:05dc6abcd105e1a29f95eada46d4a3f251743cfd7d3ae8ddb4088047f24ea477", size = 22446958, upload-time = "2025-05-08T16:06:15.97Z" }, - { url = "https://files.pythonhosted.org/packages/af/43/0bce905a965f36c58ff80d8bea33f1f9351b05fad4beaad4eae34699b7a1/scipy-1.15.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:06efcba926324df1696931a57a176c80848ccd67ce6ad020c810736bfd58eb1c", size = 25242454, upload-time = "2025-05-08T16:06:20.394Z" }, - { url = "https://files.pythonhosted.org/packages/56/30/a6f08f84ee5b7b28b4c597aca4cbe545535c39fe911845a96414700b64ba/scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c05045d8b9bfd807ee1b9f38761993297b10b245f012b11b13b91ba8945f7e45", size = 35210199, upload-time = "2025-05-08T16:06:26.159Z" }, - { url = "https://files.pythonhosted.org/packages/0b/1f/03f52c282437a168ee2c7c14a1a0d0781a9a4a8962d84ac05c06b4c5b555/scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:271e3713e645149ea5ea3e97b57fdab61ce61333f97cfae392c28ba786f9bb49", size = 37309455, upload-time = "2025-05-08T16:06:32.778Z" }, - { url = "https://files.pythonhosted.org/packages/89/b1/fbb53137f42c4bf630b1ffdfc2151a62d1d1b903b249f030d2b1c0280af8/scipy-1.15.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6cfd56fc1a8e53f6e89ba3a7a7251f7396412d655bca2aa5611c8ec9a6784a1e", size = 36885140, upload-time = "2025-05-08T16:06:39.249Z" }, - { url = "https://files.pythonhosted.org/packages/2e/2e/025e39e339f5090df1ff266d021892694dbb7e63568edcfe43f892fa381d/scipy-1.15.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0ff17c0bb1cb32952c09217d8d1eed9b53d1463e5f1dd6052c7857f83127d539", size = 39710549, upload-time = "2025-05-08T16:06:45.729Z" }, - { url = "https://files.pythonhosted.org/packages/e6/eb/3bf6ea8ab7f1503dca3a10df2e4b9c3f6b3316df07f6c0ded94b281c7101/scipy-1.15.3-cp312-cp312-win_amd64.whl", hash = "sha256:52092bc0472cfd17df49ff17e70624345efece4e1a12b23783a1ac59a1b728ed", size = 40966184, upload-time = "2025-05-08T16:06:52.623Z" }, -] - -[[package]] -name = "scipy" -version = "1.17.0" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", -] -dependencies = [ - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/56/3e/9cca699f3486ce6bc12ff46dc2031f1ec8eb9ccc9a320fdaf925f1417426/scipy-1.17.0.tar.gz", hash = "sha256:2591060c8e648d8b96439e111ac41fd8342fdeff1876be2e19dea3fe8930454e", size = 30396830, upload-time = "2026-01-10T21:34:23.009Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/1e/4b/c89c131aa87cad2b77a54eb0fb94d633a842420fa7e919dc2f922037c3d8/scipy-1.17.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:2abd71643797bd8a106dff97894ff7869eeeb0af0f7a5ce02e4227c6a2e9d6fd", size = 31381316, upload-time = "2026-01-10T21:24:33.42Z" }, - { url = "https://files.pythonhosted.org/packages/5e/5f/a6b38f79a07d74989224d5f11b55267714707582908a5f1ae854cf9a9b84/scipy-1.17.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:ef28d815f4d2686503e5f4f00edc387ae58dfd7a2f42e348bb53359538f01558", size = 27966760, upload-time = "2026-01-10T21:24:38.911Z" }, - { url = "https://files.pythonhosted.org/packages/c1/20/095ad24e031ee8ed3c5975954d816b8e7e2abd731e04f8be573de8740885/scipy-1.17.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:272a9f16d6bb4667e8b50d25d71eddcc2158a214df1b566319298de0939d2ab7", size = 20138701, upload-time = "2026-01-10T21:24:43.249Z" }, - { url = "https://files.pythonhosted.org/packages/89/11/4aad2b3858d0337756f3323f8960755704e530b27eb2a94386c970c32cbe/scipy-1.17.0-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:7204fddcbec2fe6598f1c5fdf027e9f259106d05202a959a9f1aecf036adc9f6", size = 22480574, upload-time = "2026-01-10T21:24:47.266Z" }, - { url = "https://files.pythonhosted.org/packages/85/bd/f5af70c28c6da2227e510875cadf64879855193a687fb19951f0f44cfd6b/scipy-1.17.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:fc02c37a5639ee67d8fb646ffded6d793c06c5622d36b35cfa8fe5ececb8f042", size = 32862414, upload-time = "2026-01-10T21:24:52.566Z" }, - { url = "https://files.pythonhosted.org/packages/ef/df/df1457c4df3826e908879fe3d76bc5b6e60aae45f4ee42539512438cfd5d/scipy-1.17.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dac97a27520d66c12a34fd90a4fe65f43766c18c0d6e1c0a80f114d2260080e4", size = 35112380, upload-time = "2026-01-10T21:24:58.433Z" }, - { url = "https://files.pythonhosted.org/packages/5f/bb/88e2c16bd1dd4de19d80d7c5e238387182993c2fb13b4b8111e3927ad422/scipy-1.17.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:ebb7446a39b3ae0fe8f416a9a3fdc6fba3f11c634f680f16a239c5187bc487c0", size = 34922676, upload-time = "2026-01-10T21:25:04.287Z" }, - { url = "https://files.pythonhosted.org/packages/02/ba/5120242cc735f71fc002cff0303d536af4405eb265f7c60742851e7ccfe9/scipy-1.17.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:474da16199f6af66601a01546144922ce402cb17362e07d82f5a6cf8f963e449", size = 37507599, upload-time = "2026-01-10T21:25:09.851Z" }, - { url = "https://files.pythonhosted.org/packages/52/c8/08629657ac6c0da198487ce8cd3de78e02cfde42b7f34117d56a3fe249dc/scipy-1.17.0-cp311-cp311-win_amd64.whl", hash = "sha256:255c0da161bd7b32a6c898e7891509e8a9289f0b1c6c7d96142ee0d2b114c2ea", size = 36380284, upload-time = "2026-01-10T21:25:15.632Z" }, - { url = "https://files.pythonhosted.org/packages/6c/4a/465f96d42c6f33ad324a40049dfd63269891db9324aa66c4a1c108c6f994/scipy-1.17.0-cp311-cp311-win_arm64.whl", hash = "sha256:85b0ac3ad17fa3be50abd7e69d583d98792d7edc08367e01445a1e2076005379", size = 24370427, upload-time = "2026-01-10T21:25:20.514Z" }, - { url = "https://files.pythonhosted.org/packages/0b/11/7241a63e73ba5a516f1930ac8d5b44cbbfabd35ac73a2d08ca206df007c4/scipy-1.17.0-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:0d5018a57c24cb1dd828bcf51d7b10e65986d549f52ef5adb6b4d1ded3e32a57", size = 31364580, upload-time = "2026-01-10T21:25:25.717Z" }, - { url = "https://files.pythonhosted.org/packages/ed/1d/5057f812d4f6adc91a20a2d6f2ebcdb517fdbc87ae3acc5633c9b97c8ba5/scipy-1.17.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:88c22af9e5d5a4f9e027e26772cc7b5922fab8bcc839edb3ae33de404feebd9e", size = 27969012, upload-time = "2026-01-10T21:25:30.921Z" }, - { url = "https://files.pythonhosted.org/packages/e3/21/f6ec556c1e3b6ec4e088da667d9987bb77cc3ab3026511f427dc8451187d/scipy-1.17.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:f3cd947f20fe17013d401b64e857c6b2da83cae567adbb75b9dcba865abc66d8", size = 20140691, upload-time = "2026-01-10T21:25:34.802Z" }, - { url = "https://files.pythonhosted.org/packages/7a/fe/5e5ad04784964ba964a96f16c8d4676aa1b51357199014dce58ab7ec5670/scipy-1.17.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:e8c0b331c2c1f531eb51f1b4fc9ba709521a712cce58f1aa627bc007421a5306", size = 22463015, upload-time = "2026-01-10T21:25:39.277Z" }, - { url = "https://files.pythonhosted.org/packages/4a/69/7c347e857224fcaf32a34a05183b9d8a7aca25f8f2d10b8a698b8388561a/scipy-1.17.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5194c445d0a1c7a6c1a4a4681b6b7c71baad98ff66d96b949097e7513c9d6742", size = 32724197, upload-time = "2026-01-10T21:25:44.084Z" }, - { url = "https://files.pythonhosted.org/packages/d1/fe/66d73b76d378ba8cc2fe605920c0c75092e3a65ae746e1e767d9d020a75a/scipy-1.17.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9eeb9b5f5997f75507814ed9d298ab23f62cf79f5a3ef90031b1ee2506abdb5b", size = 35009148, upload-time = "2026-01-10T21:25:50.591Z" }, - { url = "https://files.pythonhosted.org/packages/af/07/07dec27d9dc41c18d8c43c69e9e413431d20c53a0339c388bcf72f353c4b/scipy-1.17.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:40052543f7bbe921df4408f46003d6f01c6af109b9e2c8a66dd1cf6cf57f7d5d", size = 34798766, upload-time = "2026-01-10T21:25:59.41Z" }, - { url = "https://files.pythonhosted.org/packages/81/61/0470810c8a093cdacd4ba7504b8a218fd49ca070d79eca23a615f5d9a0b0/scipy-1.17.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0cf46c8013fec9d3694dc572f0b54100c28405d55d3e2cb15e2895b25057996e", size = 37405953, upload-time = "2026-01-10T21:26:07.75Z" }, - { url = "https://files.pythonhosted.org/packages/92/ce/672ed546f96d5d41ae78c4b9b02006cedd0b3d6f2bf5bb76ea455c320c28/scipy-1.17.0-cp312-cp312-win_amd64.whl", hash = "sha256:0937a0b0d8d593a198cededd4c439a0ea216a3f36653901ea1f3e4be949056f8", size = 36328121, upload-time = "2026-01-10T21:26:16.509Z" }, - { url = "https://files.pythonhosted.org/packages/9d/21/38165845392cae67b61843a52c6455d47d0cc2a40dd495c89f4362944654/scipy-1.17.0-cp312-cp312-win_arm64.whl", hash = "sha256:f603d8a5518c7426414d1d8f82e253e454471de682ce5e39c29adb0df1efb86b", size = 24314368, upload-time = "2026-01-10T21:26:23.087Z" }, +version = "1.17.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/7a/97/5a3609c4f8d58b039179648e62dd220f89864f56f7357f5d4f45c29eb2cc/scipy-1.17.1.tar.gz", hash = "sha256:95d8e012d8cb8816c226aef832200b1d45109ed4464303e997c5b13122b297c0", size = 30573822, upload-time = "2026-02-23T00:26:24.851Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/df/75/b4ce781849931fef6fd529afa6b63711d5a733065722d0c3e2724af9e40a/scipy-1.17.1-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:1f95b894f13729334fb990162e911c9e5dc1ab390c58aa6cbecb389c5b5e28ec", size = 31613675, upload-time = "2026-02-23T00:16:00.13Z" }, + { url = "https://files.pythonhosted.org/packages/f7/58/bccc2861b305abdd1b8663d6130c0b3d7cc22e8d86663edbc8401bfd40d4/scipy-1.17.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:e18f12c6b0bc5a592ed23d3f7b891f68fd7f8241d69b7883769eb5d5dfb52696", size = 28162057, upload-time = "2026-02-23T00:16:09.456Z" }, + { url = "https://files.pythonhosted.org/packages/6d/ee/18146b7757ed4976276b9c9819108adbc73c5aad636e5353e20746b73069/scipy-1.17.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a3472cfbca0a54177d0faa68f697d8ba4c80bbdc19908c3465556d9f7efce9ee", size = 20334032, upload-time = "2026-02-23T00:16:17.358Z" }, + { url = "https://files.pythonhosted.org/packages/ec/e6/cef1cf3557f0c54954198554a10016b6a03b2ec9e22a4e1df734936bd99c/scipy-1.17.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:766e0dc5a616d026a3a1cffa379af959671729083882f50307e18175797b3dfd", size = 22709533, upload-time = "2026-02-23T00:16:25.791Z" }, + { url = "https://files.pythonhosted.org/packages/4d/60/8804678875fc59362b0fb759ab3ecce1f09c10a735680318ac30da8cd76b/scipy-1.17.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:744b2bf3640d907b79f3fd7874efe432d1cf171ee721243e350f55234b4cec4c", size = 33062057, upload-time = "2026-02-23T00:16:36.931Z" }, + { url = "https://files.pythonhosted.org/packages/09/7d/af933f0f6e0767995b4e2d705a0665e454d1c19402aa7e895de3951ebb04/scipy-1.17.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43af8d1f3bea642559019edfe64e9b11192a8978efbd1539d7bc2aaa23d92de4", size = 35349300, upload-time = "2026-02-23T00:16:49.108Z" }, + { url = "https://files.pythonhosted.org/packages/b4/3d/7ccbbdcbb54c8fdc20d3b6930137c782a163fa626f0aef920349873421ba/scipy-1.17.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:cd96a1898c0a47be4520327e01f874acfd61fb48a9420f8aa9f6483412ffa444", size = 35127333, upload-time = "2026-02-23T00:17:01.293Z" }, + { url = "https://files.pythonhosted.org/packages/e8/19/f926cb11c42b15ba08e3a71e376d816ac08614f769b4f47e06c3580c836a/scipy-1.17.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4eb6c25dd62ee8d5edf68a8e1c171dd71c292fdae95d8aeb3dd7d7de4c364082", size = 37741314, upload-time = "2026-02-23T00:17:12.576Z" }, + { url = "https://files.pythonhosted.org/packages/95/da/0d1df507cf574b3f224ccc3d45244c9a1d732c81dcb26b1e8a766ae271a8/scipy-1.17.1-cp311-cp311-win_amd64.whl", hash = "sha256:d30e57c72013c2a4fe441c2fcb8e77b14e152ad48b5464858e07e2ad9fbfceff", size = 36607512, upload-time = "2026-02-23T00:17:23.424Z" }, + { url = "https://files.pythonhosted.org/packages/68/7f/bdd79ceaad24b671543ffe0ef61ed8e659440eb683b66f033454dcee90eb/scipy-1.17.1-cp311-cp311-win_arm64.whl", hash = "sha256:9ecb4efb1cd6e8c4afea0daa91a87fbddbce1b99d2895d151596716c0b2e859d", size = 24599248, upload-time = "2026-02-23T00:17:34.561Z" }, + { url = "https://files.pythonhosted.org/packages/35/48/b992b488d6f299dbe3f11a20b24d3dda3d46f1a635ede1c46b5b17a7b163/scipy-1.17.1-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:35c3a56d2ef83efc372eaec584314bd0ef2e2f0d2adb21c55e6ad5b344c0dcb8", size = 31610954, upload-time = "2026-02-23T00:17:49.855Z" }, + { url = "https://files.pythonhosted.org/packages/b2/02/cf107b01494c19dc100f1d0b7ac3cc08666e96ba2d64db7626066cee895e/scipy-1.17.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:fcb310ddb270a06114bb64bbe53c94926b943f5b7f0842194d585c65eb4edd76", size = 28172662, upload-time = "2026-02-23T00:18:01.64Z" }, + { url = "https://files.pythonhosted.org/packages/cf/a9/599c28631bad314d219cf9ffd40e985b24d603fc8a2f4ccc5ae8419a535b/scipy-1.17.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:cc90d2e9c7e5c7f1a482c9875007c095c3194b1cfedca3c2f3291cdc2bc7c086", size = 20344366, upload-time = "2026-02-23T00:18:12.015Z" }, + { url = "https://files.pythonhosted.org/packages/35/f5/906eda513271c8deb5af284e5ef0206d17a96239af79f9fa0aebfe0e36b4/scipy-1.17.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:c80be5ede8f3f8eded4eff73cc99a25c388ce98e555b17d31da05287015ffa5b", size = 22704017, upload-time = "2026-02-23T00:18:21.502Z" }, + { url = "https://files.pythonhosted.org/packages/da/34/16f10e3042d2f1d6b66e0428308ab52224b6a23049cb2f5c1756f713815f/scipy-1.17.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e19ebea31758fac5893a2ac360fedd00116cbb7628e650842a6691ba7ca28a21", size = 32927842, upload-time = "2026-02-23T00:18:35.367Z" }, + { url = "https://files.pythonhosted.org/packages/01/8e/1e35281b8ab6d5d72ebe9911edcdffa3f36b04ed9d51dec6dd140396e220/scipy-1.17.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:02ae3b274fde71c5e92ac4d54bc06c42d80e399fec704383dcd99b301df37458", size = 35235890, upload-time = "2026-02-23T00:18:49.188Z" }, + { url = "https://files.pythonhosted.org/packages/c5/5c/9d7f4c88bea6e0d5a4f1bc0506a53a00e9fcb198de372bfe4d3652cef482/scipy-1.17.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8a604bae87c6195d8b1045eddece0514d041604b14f2727bbc2b3020172045eb", size = 35003557, upload-time = "2026-02-23T00:18:54.74Z" }, + { url = "https://files.pythonhosted.org/packages/65/94/7698add8f276dbab7a9de9fb6b0e02fc13ee61d51c7c3f85ac28b65e1239/scipy-1.17.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f590cd684941912d10becc07325a3eeb77886fe981415660d9265c4c418d0bea", size = 37625856, upload-time = "2026-02-23T00:19:00.307Z" }, + { url = "https://files.pythonhosted.org/packages/a2/84/dc08d77fbf3d87d3ee27f6a0c6dcce1de5829a64f2eae85a0ecc1f0daa73/scipy-1.17.1-cp312-cp312-win_amd64.whl", hash = "sha256:41b71f4a3a4cab9d366cd9065b288efc4d4f3c0b37a91a8e0947fb5bd7f31d87", size = 36549682, upload-time = "2026-02-23T00:19:07.67Z" }, + { url = "https://files.pythonhosted.org/packages/bc/98/fe9ae9ffb3b54b62559f52dedaebe204b408db8109a8c66fdd04869e6424/scipy-1.17.1-cp312-cp312-win_arm64.whl", hash = "sha256:f4115102802df98b2b0db3cce5cb9b92572633a1197c77b7553e5203f284a5b3", size = 24547340, upload-time = "2026-02-23T00:19:12.024Z" }, + { url = "https://files.pythonhosted.org/packages/76/27/07ee1b57b65e92645f219b37148a7e7928b82e2b5dbeccecb4dff7c64f0b/scipy-1.17.1-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:5e3c5c011904115f88a39308379c17f91546f77c1667cea98739fe0fccea804c", size = 31590199, upload-time = "2026-02-23T00:19:17.192Z" }, + { url = "https://files.pythonhosted.org/packages/ec/ae/db19f8ab842e9b724bf5dbb7db29302a91f1e55bc4d04b1025d6d605a2c5/scipy-1.17.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:6fac755ca3d2c3edcb22f479fceaa241704111414831ddd3bc6056e18516892f", size = 28154001, upload-time = "2026-02-23T00:19:22.241Z" }, + { url = "https://files.pythonhosted.org/packages/5b/58/3ce96251560107b381cbd6e8413c483bbb1228a6b919fa8652b0d4090e7f/scipy-1.17.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:7ff200bf9d24f2e4d5dc6ee8c3ac64d739d3a89e2326ba68aaf6c4a2b838fd7d", size = 20325719, upload-time = "2026-02-23T00:19:26.329Z" }, + { url = "https://files.pythonhosted.org/packages/b2/83/15087d945e0e4d48ce2377498abf5ad171ae013232ae31d06f336e64c999/scipy-1.17.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:4b400bdc6f79fa02a4d86640310dde87a21fba0c979efff5248908c6f15fad1b", size = 22683595, upload-time = "2026-02-23T00:19:30.304Z" }, + { url = "https://files.pythonhosted.org/packages/b4/e0/e58fbde4a1a594c8be8114eb4aac1a55bcd6587047efc18a61eb1f5c0d30/scipy-1.17.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2b64ca7d4aee0102a97f3ba22124052b4bd2152522355073580bf4845e2550b6", size = 32896429, upload-time = "2026-02-23T00:19:35.536Z" }, + { url = "https://files.pythonhosted.org/packages/f5/5f/f17563f28ff03c7b6799c50d01d5d856a1d55f2676f537ca8d28c7f627cd/scipy-1.17.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:581b2264fc0aa555f3f435a5944da7504ea3a065d7029ad60e7c3d1ae09c5464", size = 35203952, upload-time = "2026-02-23T00:19:42.259Z" }, + { url = "https://files.pythonhosted.org/packages/8d/a5/9afd17de24f657fdfe4df9a3f1ea049b39aef7c06000c13db1530d81ccca/scipy-1.17.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:beeda3d4ae615106d7094f7e7cef6218392e4465cc95d25f900bebabfded0950", size = 34979063, upload-time = "2026-02-23T00:19:47.547Z" }, + { url = "https://files.pythonhosted.org/packages/8b/13/88b1d2384b424bf7c924f2038c1c409f8d88bb2a8d49d097861dd64a57b2/scipy-1.17.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6609bc224e9568f65064cfa72edc0f24ee6655b47575954ec6339534b2798369", size = 37598449, upload-time = "2026-02-23T00:19:53.238Z" }, + { url = "https://files.pythonhosted.org/packages/35/e5/d6d0e51fc888f692a35134336866341c08655d92614f492c6860dc45bb2c/scipy-1.17.1-cp313-cp313-win_amd64.whl", hash = "sha256:37425bc9175607b0268f493d79a292c39f9d001a357bebb6b88fdfaff13f6448", size = 36510943, upload-time = "2026-02-23T00:20:50.89Z" }, + { url = "https://files.pythonhosted.org/packages/2a/fd/3be73c564e2a01e690e19cc618811540ba5354c67c8680dce3281123fb79/scipy-1.17.1-cp313-cp313-win_arm64.whl", hash = "sha256:5cf36e801231b6a2059bf354720274b7558746f3b1a4efb43fcf557ccd484a87", size = 24545621, upload-time = "2026-02-23T00:20:55.871Z" }, + { url = "https://files.pythonhosted.org/packages/6f/6b/17787db8b8114933a66f9dcc479a8272e4b4da75fe03b0c282f7b0ade8cd/scipy-1.17.1-cp313-cp313t-macosx_10_14_x86_64.whl", hash = "sha256:d59c30000a16d8edc7e64152e30220bfbd724c9bbb08368c054e24c651314f0a", size = 31936708, upload-time = "2026-02-23T00:19:58.694Z" }, + { url = "https://files.pythonhosted.org/packages/38/2e/524405c2b6392765ab1e2b722a41d5da33dc5c7b7278184a8ad29b6cb206/scipy-1.17.1-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:010f4333c96c9bb1a4516269e33cb5917b08ef2166d5556ca2fd9f082a9e6ea0", size = 28570135, upload-time = "2026-02-23T00:20:03.934Z" }, + { url = "https://files.pythonhosted.org/packages/fd/c3/5bd7199f4ea8556c0c8e39f04ccb014ac37d1468e6cfa6a95c6b3562b76e/scipy-1.17.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:2ceb2d3e01c5f1d83c4189737a42d9cb2fc38a6eeed225e7515eef71ad301dce", size = 20741977, upload-time = "2026-02-23T00:20:07.935Z" }, + { url = "https://files.pythonhosted.org/packages/d9/b8/8ccd9b766ad14c78386599708eb745f6b44f08400a5fd0ade7cf89b6fc93/scipy-1.17.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:844e165636711ef41f80b4103ed234181646b98a53c8f05da12ca5ca289134f6", size = 23029601, upload-time = "2026-02-23T00:20:12.161Z" }, + { url = "https://files.pythonhosted.org/packages/6d/a0/3cb6f4d2fb3e17428ad2880333cac878909ad1a89f678527b5328b93c1d4/scipy-1.17.1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:158dd96d2207e21c966063e1635b1063cd7787b627b6f07305315dd73d9c679e", size = 33019667, upload-time = "2026-02-23T00:20:17.208Z" }, + { url = "https://files.pythonhosted.org/packages/f3/c3/2d834a5ac7bf3a0c806ad1508efc02dda3c8c61472a56132d7894c312dea/scipy-1.17.1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74cbb80d93260fe2ffa334efa24cb8f2f0f622a9b9febf8b483c0b865bfb3475", size = 35264159, upload-time = "2026-02-23T00:20:23.087Z" }, + { url = "https://files.pythonhosted.org/packages/4d/77/d3ed4becfdbd217c52062fafe35a72388d1bd82c2d0ba5ca19d6fcc93e11/scipy-1.17.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:dbc12c9f3d185f5c737d801da555fb74b3dcfa1a50b66a1a93e09190f41fab50", size = 35102771, upload-time = "2026-02-23T00:20:28.636Z" }, + { url = "https://files.pythonhosted.org/packages/bd/12/d19da97efde68ca1ee5538bb261d5d2c062f0c055575128f11a2730e3ac1/scipy-1.17.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:94055a11dfebe37c656e70317e1996dc197e1a15bbcc351bcdd4610e128fe1ca", size = 37665910, upload-time = "2026-02-23T00:20:34.743Z" }, + { url = "https://files.pythonhosted.org/packages/06/1c/1172a88d507a4baaf72c5a09bb6c018fe2ae0ab622e5830b703a46cc9e44/scipy-1.17.1-cp313-cp313t-win_amd64.whl", hash = "sha256:e30bdeaa5deed6bc27b4cc490823cd0347d7dae09119b8803ae576ea0ce52e4c", size = 36562980, upload-time = "2026-02-23T00:20:40.575Z" }, + { url = "https://files.pythonhosted.org/packages/70/b0/eb757336e5a76dfa7911f63252e3b7d1de00935d7705cf772db5b45ec238/scipy-1.17.1-cp313-cp313t-win_arm64.whl", hash = "sha256:a720477885a9d2411f94a93d16f9d89bad0f28ca23c3f8daa521e2dcc3f44d49", size = 24856543, upload-time = "2026-02-23T00:20:45.313Z" }, + { url = "https://files.pythonhosted.org/packages/cf/83/333afb452af6f0fd70414dc04f898647ee1423979ce02efa75c3b0f2c28e/scipy-1.17.1-cp314-cp314-macosx_10_14_x86_64.whl", hash = "sha256:a48a72c77a310327f6a3a920092fa2b8fd03d7deaa60f093038f22d98e096717", size = 31584510, upload-time = "2026-02-23T00:21:01.015Z" }, + { url = "https://files.pythonhosted.org/packages/ed/a6/d05a85fd51daeb2e4ea71d102f15b34fedca8e931af02594193ae4fd25f7/scipy-1.17.1-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:45abad819184f07240d8a696117a7aacd39787af9e0b719d00285549ed19a1e9", size = 28170131, upload-time = "2026-02-23T00:21:05.888Z" }, + { url = "https://files.pythonhosted.org/packages/db/7b/8624a203326675d7746a254083a187398090a179335b2e4a20e2ddc46e83/scipy-1.17.1-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:3fd1fcdab3ea951b610dc4cef356d416d5802991e7e32b5254828d342f7b7e0b", size = 20342032, upload-time = "2026-02-23T00:21:09.904Z" }, + { url = "https://files.pythonhosted.org/packages/c9/35/2c342897c00775d688d8ff3987aced3426858fd89d5a0e26e020b660b301/scipy-1.17.1-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:7bdf2da170b67fdf10bca777614b1c7d96ae3ca5794fd9587dce41eb2966e866", size = 22678766, upload-time = "2026-02-23T00:21:14.313Z" }, + { url = "https://files.pythonhosted.org/packages/ef/f2/7cdb8eb308a1a6ae1e19f945913c82c23c0c442a462a46480ce487fdc0ac/scipy-1.17.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:adb2642e060a6549c343603a3851ba76ef0b74cc8c079a9a58121c7ec9fe2350", size = 32957007, upload-time = "2026-02-23T00:21:19.663Z" }, + { url = "https://files.pythonhosted.org/packages/0b/2e/7eea398450457ecb54e18e9d10110993fa65561c4f3add5e8eccd2b9cd41/scipy-1.17.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:eee2cfda04c00a857206a4330f0c5e3e56535494e30ca445eb19ec624ae75118", size = 35221333, upload-time = "2026-02-23T00:21:25.278Z" }, + { url = "https://files.pythonhosted.org/packages/d9/77/5b8509d03b77f093a0d52e606d3c4f79e8b06d1d38c441dacb1e26cacf46/scipy-1.17.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d2650c1fb97e184d12d8ba010493ee7b322864f7d3d00d3f9bb97d9c21de4068", size = 35042066, upload-time = "2026-02-23T00:21:31.358Z" }, + { url = "https://files.pythonhosted.org/packages/f9/df/18f80fb99df40b4070328d5ae5c596f2f00fffb50167e31439e932f29e7d/scipy-1.17.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:08b900519463543aa604a06bec02461558a6e1cef8fdbb8098f77a48a83c8118", size = 37612763, upload-time = "2026-02-23T00:21:37.247Z" }, + { url = "https://files.pythonhosted.org/packages/4b/39/f0e8ea762a764a9dc52aa7dabcfad51a354819de1f0d4652b6a1122424d6/scipy-1.17.1-cp314-cp314-win_amd64.whl", hash = "sha256:3877ac408e14da24a6196de0ddcace62092bfc12a83823e92e49e40747e52c19", size = 37290984, upload-time = "2026-02-23T00:22:35.023Z" }, + { url = "https://files.pythonhosted.org/packages/7c/56/fe201e3b0f93d1a8bcf75d3379affd228a63d7e2d80ab45467a74b494947/scipy-1.17.1-cp314-cp314-win_arm64.whl", hash = "sha256:f8885db0bc2bffa59d5c1b72fad7a6a92d3e80e7257f967dd81abb553a90d293", size = 25192877, upload-time = "2026-02-23T00:22:39.798Z" }, + { url = "https://files.pythonhosted.org/packages/96/ad/f8c414e121f82e02d76f310f16db9899c4fcde36710329502a6b2a3c0392/scipy-1.17.1-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:1cc682cea2ae55524432f3cdff9e9a3be743d52a7443d0cba9017c23c87ae2f6", size = 31949750, upload-time = "2026-02-23T00:21:42.289Z" }, + { url = "https://files.pythonhosted.org/packages/7c/b0/c741e8865d61b67c81e255f4f0a832846c064e426636cd7de84e74d209be/scipy-1.17.1-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:2040ad4d1795a0ae89bfc7e8429677f365d45aa9fd5e4587cf1ea737f927b4a1", size = 28585858, upload-time = "2026-02-23T00:21:47.706Z" }, + { url = "https://files.pythonhosted.org/packages/ed/1b/3985219c6177866628fa7c2595bfd23f193ceebbe472c98a08824b9466ff/scipy-1.17.1-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:131f5aaea57602008f9822e2115029b55d4b5f7c070287699fe45c661d051e39", size = 20757723, upload-time = "2026-02-23T00:21:52.039Z" }, + { url = "https://files.pythonhosted.org/packages/c0/19/2a04aa25050d656d6f7b9e7b685cc83d6957fb101665bfd9369ca6534563/scipy-1.17.1-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:9cdc1a2fcfd5c52cfb3045feb399f7b3ce822abdde3a193a6b9a60b3cb5854ca", size = 23043098, upload-time = "2026-02-23T00:21:56.185Z" }, + { url = "https://files.pythonhosted.org/packages/86/f1/3383beb9b5d0dbddd030335bf8a8b32d4317185efe495374f134d8be6cce/scipy-1.17.1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6e3dcd57ab780c741fde8dc68619de988b966db759a3c3152e8e9142c26295ad", size = 33030397, upload-time = "2026-02-23T00:22:01.404Z" }, + { url = "https://files.pythonhosted.org/packages/41/68/8f21e8a65a5a03f25a79165ec9d2b28c00e66dc80546cf5eb803aeeff35b/scipy-1.17.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a9956e4d4f4a301ebf6cde39850333a6b6110799d470dbbb1e25326ac447f52a", size = 35281163, upload-time = "2026-02-23T00:22:07.024Z" }, + { url = "https://files.pythonhosted.org/packages/84/8d/c8a5e19479554007a5632ed7529e665c315ae7492b4f946b0deb39870e39/scipy-1.17.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:a4328d245944d09fd639771de275701ccadf5f781ba0ff092ad141e017eccda4", size = 35116291, upload-time = "2026-02-23T00:22:12.585Z" }, + { url = "https://files.pythonhosted.org/packages/52/52/e57eceff0e342a1f50e274264ed47497b59e6a4e3118808ee58ddda7b74a/scipy-1.17.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:a77cbd07b940d326d39a1d1b37817e2ee4d79cb30e7338f3d0cddffae70fcaa2", size = 37682317, upload-time = "2026-02-23T00:22:18.513Z" }, + { url = "https://files.pythonhosted.org/packages/11/2f/b29eafe4a3fbc3d6de9662b36e028d5f039e72d345e05c250e121a230dd4/scipy-1.17.1-cp314-cp314t-win_amd64.whl", hash = "sha256:eb092099205ef62cd1782b006658db09e2fed75bffcae7cc0d44052d8aa0f484", size = 37345327, upload-time = "2026-02-23T00:22:24.442Z" }, + { url = "https://files.pythonhosted.org/packages/07/39/338d9219c4e87f3e708f18857ecd24d22a0c3094752393319553096b98af/scipy-1.17.1-cp314-cp314t-win_arm64.whl", hash = "sha256:200e1050faffacc162be6a486a984a0497866ec54149a01270adc8a59b7c7d21", size = 25489165, upload-time = "2026-02-23T00:22:29.563Z" }, ] [[package]] name = "setuptools" -version = "82.0.0" +version = "82.0.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/82/f3/748f4d6f65d1756b9ae577f329c951cda23fb900e4de9f70900ced962085/setuptools-82.0.0.tar.gz", hash = "sha256:22e0a2d69474c6ae4feb01951cb69d515ed23728cf96d05513d36e42b62b37cb", size = 1144893, upload-time = "2026-02-08T15:08:40.206Z" } +sdist = { url = "https://files.pythonhosted.org/packages/4f/db/cfac1baf10650ab4d1c111714410d2fbb77ac5a616db26775db562c8fab2/setuptools-82.0.1.tar.gz", hash = "sha256:7d872682c5d01cfde07da7bccc7b65469d3dca203318515ada1de5eda35efbf9", size = 1152316, upload-time = "2026-03-09T12:47:17.221Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e1/c6/76dc613121b793286a3f91621d7b75a2b493e0390ddca50f11993eadf192/setuptools-82.0.0-py3-none-any.whl", hash = "sha256:70b18734b607bd1da571d097d236cfcfacaf01de45717d59e6e04b96877532e0", size = 1003468, upload-time = "2026-02-08T15:08:38.723Z" }, + { url = "https://files.pythonhosted.org/packages/9d/76/f789f7a86709c6b087c5a2f52f911838cad707cc613162401badc665acfe/setuptools-82.0.1-py3-none-any.whl", hash = "sha256:a59e362652f08dcd477c78bb6e7bd9d80a7995bc73ce773050228a348ce2e5bb", size = 1006223, upload-time = "2026-03-09T12:47:15.026Z" }, ] [[package]] @@ -2328,15 +2587,15 @@ wheels = [ [[package]] name = "starlette" -version = "0.52.1" +version = "1.0.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, - { name = "typing-extensions" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/c4/68/79977123bb7be889ad680d79a40f339082c1978b5cfcf62c2d8d196873ac/starlette-0.52.1.tar.gz", hash = "sha256:834edd1b0a23167694292e94f597773bc3f89f362be6effee198165a35d62933", size = 2653702, upload-time = "2026-01-18T13:34:11.062Z" } +sdist = { url = "https://files.pythonhosted.org/packages/81/69/17425771797c36cded50b7fe44e850315d039f28b15901ab44839e70b593/starlette-1.0.0.tar.gz", hash = "sha256:6a4beaf1f81bb472fd19ea9b918b50dc3a77a6f2e190a12954b25e6ed5eea149", size = 2655289, upload-time = "2026-03-22T18:29:46.779Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/81/0d/13d1d239a25cbfb19e740db83143e95c772a1fe10202dda4b76792b114dd/starlette-0.52.1-py3-none-any.whl", hash = "sha256:0029d43eb3d273bc4f83a08720b4912ea4b071087a3b48db01b7c839f7954d74", size = 74272, upload-time = "2026-01-18T13:34:09.188Z" }, + { url = "https://files.pythonhosted.org/packages/0b/c9/584bc9651441b4ba60cc4d557d8a547b5aff901af35bda3a4ee30c819b82/starlette-1.0.0-py3-none-any.whl", hash = "sha256:d3ec55e0bb321692d275455ddfd3df75fff145d009685eb40dc91fc66b03d38b", size = 72651, upload-time = "2026-03-22T18:29:45.111Z" }, ] [[package]] @@ -2344,22 +2603,14 @@ name = "statsmodels" version = "0.14.6" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "packaging" }, { name = "pandas" }, { name = "patsy" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scipy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/0d/81/e8d74b34f85285f7335d30c5e3c2d7c0346997af9f3debf9a0a9a63de184/statsmodels-0.14.6.tar.gz", hash = "sha256:4d17873d3e607d398b85126cd4ed7aad89e4e9d89fc744cdab1af3189a996c2a", size = 20689085, upload-time = "2025-12-05T23:08:39.522Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/b5/6d/9ec309a175956f88eb8420ac564297f37cf9b1f73f89db74da861052dc29/statsmodels-0.14.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f4ff0649a2df674c7ffb6fa1a06bffdb82a6adf09a48e90e000a15a6aaa734b0", size = 10142419, upload-time = "2025-12-05T19:27:35.625Z" }, - { url = "https://files.pythonhosted.org/packages/86/8f/338c5568315ec5bf3ac7cd4b71e34b98cb3b0f834919c0c04a0762f878a1/statsmodels-0.14.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:109012088b3e370080846ab053c76d125268631410142daad2f8c10770e8e8d9", size = 10022819, upload-time = "2025-12-05T19:27:49.385Z" }, - { url = "https://files.pythonhosted.org/packages/b0/77/5fc4cbc2d608f9b483b0675f82704a8bcd672962c379fe4d82100d388dbf/statsmodels-0.14.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e93bd5d220f3cb6fc5fc1bffd5b094966cab8ee99f6c57c02e95710513d6ac3f", size = 10118927, upload-time = "2025-12-05T23:07:51.256Z" }, - { url = "https://files.pythonhosted.org/packages/94/55/b86c861c32186403fe121d9ab27bc16d05839b170d92a978beb33abb995e/statsmodels-0.14.6-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:06eec42d682fdb09fe5d70a05930857efb141754ec5a5056a03304c1b5e32fd9", size = 10413015, upload-time = "2025-12-05T23:08:53.95Z" }, - { url = "https://files.pythonhosted.org/packages/f9/be/daf0dba729ccdc4176605f4a0fd5cfe71cdda671749dca10e74a732b8b1c/statsmodels-0.14.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0444e88557df735eda7db330806fe09d51c9f888bb1f5906cb3a61fb1a3ed4a8", size = 10441248, upload-time = "2025-12-05T23:09:09.353Z" }, - { url = "https://files.pythonhosted.org/packages/9a/1c/2e10b7c7cc44fa418272996bf0427b8016718fd62f995d9c1f7ab37adf35/statsmodels-0.14.6-cp310-cp310-win_amd64.whl", hash = "sha256:e83a9abe653835da3b37fb6ae04b45480c1de11b3134bd40b09717192a1456ea", size = 9583410, upload-time = "2025-12-05T19:28:02.086Z" }, { url = "https://files.pythonhosted.org/packages/a9/4d/df4dd089b406accfc3bb5ee53ba29bb3bdf5ae61643f86f8f604baa57656/statsmodels-0.14.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6ad5c2810fc6c684254a7792bf1cbaf1606cdee2a253f8bd259c43135d87cfb4", size = 10121514, upload-time = "2025-12-05T19:28:16.521Z" }, { url = "https://files.pythonhosted.org/packages/82/af/ec48daa7f861f993b91a0dcc791d66e1cf56510a235c5cbd2ab991a31d5c/statsmodels-0.14.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:341fa68a7403e10a95c7b6e41134b0da3a7b835ecff1eb266294408535a06eb6", size = 10003346, upload-time = "2025-12-05T19:28:29.568Z" }, { url = "https://files.pythonhosted.org/packages/a9/2c/c8f7aa24cd729970728f3f98822fb45149adc216f445a9301e441f7ac760/statsmodels-0.14.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdf1dfe2a3ca56f5529118baf33a13efed2783c528f4a36409b46bbd2d9d48eb", size = 10129872, upload-time = "2025-12-05T23:09:25.724Z" }, @@ -2372,6 +2623,18 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/81/68/dddd76117df2ef14c943c6bbb6618be5c9401280046f4ddfc9fb4596a1b8/statsmodels-0.14.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:19b58cf7474aa9e7e3b0771a66537148b2df9b5884fbf156096c0e6c1ff0469d", size = 10339446, upload-time = "2025-12-05T23:10:28.503Z" }, { url = "https://files.pythonhosted.org/packages/56/4a/dce451c74c4050535fac1ec0c14b80706d8fc134c9da22db3c8a0ec62c33/statsmodels-0.14.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:81e7dcc5e9587f2567e52deaff5220b175bf2f648951549eae5fc9383b62bc37", size = 10368705, upload-time = "2025-12-05T23:10:44.339Z" }, { url = "https://files.pythonhosted.org/packages/60/15/3daba2df40be8b8a9a027d7f54c8dedf24f0d81b96e54b52293f5f7e3418/statsmodels-0.14.6-cp312-cp312-win_amd64.whl", hash = "sha256:b5eb07acd115aa6208b4058211138393a7e6c2cf12b6f213ede10f658f6a714f", size = 9543991, upload-time = "2025-12-05T23:10:58.536Z" }, + { url = "https://files.pythonhosted.org/packages/81/59/a5aad5b0cc266f5be013db8cde563ac5d2a025e7efc0c328d83b50c72992/statsmodels-0.14.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:47ee7af083623d2091954fa71c7549b8443168f41b7c5dce66510274c50fd73e", size = 10072009, upload-time = "2025-12-05T23:11:14.021Z" }, + { url = "https://files.pythonhosted.org/packages/53/dd/d8cfa7922fc6dc3c56fa6c59b348ea7de829a94cd73208c6f8202dd33f17/statsmodels-0.14.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:aa60d82e29fcd0a736e86feb63a11d2380322d77a9369a54be8b0965a3985f71", size = 9980018, upload-time = "2025-12-05T23:11:30.907Z" }, + { url = "https://files.pythonhosted.org/packages/ee/77/0ec96803eba444efd75dba32f2ef88765ae3e8f567d276805391ec2c98c6/statsmodels-0.14.6-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:89ee7d595f5939cc20bf946faedcb5137d975f03ae080f300ebb4398f16a5bd4", size = 10060269, upload-time = "2025-12-05T23:11:46.338Z" }, + { url = "https://files.pythonhosted.org/packages/10/b9/fd41f1f6af13a1a1212a06bb377b17762feaa6d656947bf666f76300fc05/statsmodels-0.14.6-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:730f3297b26749b216a06e4327fe0be59b8d05f7d594fb6caff4287b69654589", size = 10324155, upload-time = "2025-12-05T23:12:01.805Z" }, + { url = "https://files.pythonhosted.org/packages/ee/0f/a6900e220abd2c69cd0a07e3ad26c71984be6061415a60e0f17b152ecf08/statsmodels-0.14.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f1c08befa85e93acc992b72a390ddb7bd876190f1360e61d10cf43833463bc9c", size = 10349765, upload-time = "2025-12-05T23:12:18.018Z" }, + { url = "https://files.pythonhosted.org/packages/98/08/b79f0c614f38e566eebbdcff90c0bcacf3c6ba7a5bbb12183c09c29ca400/statsmodels-0.14.6-cp313-cp313-win_amd64.whl", hash = "sha256:8021271a79f35b842c02a1794465a651a9d06ec2080f76ebc3b7adce77d08233", size = 9540043, upload-time = "2025-12-05T23:12:33.887Z" }, + { url = "https://files.pythonhosted.org/packages/71/de/09540e870318e0c7b58316561d417be45eff731263b4234fdd2eee3511a8/statsmodels-0.14.6-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:00781869991f8f02ad3610da6627fd26ebe262210287beb59761982a8fa88cae", size = 10069403, upload-time = "2025-12-05T23:12:48.424Z" }, + { url = "https://files.pythonhosted.org/packages/ab/f0/63c1bfda75dc53cee858006e1f46bd6d6f883853bea1b97949d0087766ca/statsmodels-0.14.6-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:73f305fbf31607b35ce919fae636ab8b80d175328ed38fdc6f354e813b86ee37", size = 9989253, upload-time = "2025-12-05T23:13:05.274Z" }, + { url = "https://files.pythonhosted.org/packages/c1/98/b0dfb4f542b2033a3341aa5f1bdd97024230a4ad3670c5b0839d54e3dcab/statsmodels-0.14.6-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e443e7077a6e2d3faeea72f5a92c9f12c63722686eb80bb40a0f04e4a7e267ad", size = 10090802, upload-time = "2025-12-05T23:13:20.653Z" }, + { url = "https://files.pythonhosted.org/packages/34/0e/2408735aca9e764643196212f9069912100151414dd617d39ffc72d77eee/statsmodels-0.14.6-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3414e40c073d725007a6603a18247ab7af3467e1af4a5e5a24e4c27bc26673b4", size = 10337587, upload-time = "2025-12-05T23:13:37.597Z" }, + { url = "https://files.pythonhosted.org/packages/0f/36/4d44f7035ab3c0b2b6a4c4ebb98dedf36246ccbc1b3e2f51ebcd7ac83abb/statsmodels-0.14.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:a518d3f9889ef920116f9fa56d0338069e110f823926356946dae83bc9e33e19", size = 10363350, upload-time = "2025-12-05T23:13:53.08Z" }, + { url = "https://files.pythonhosted.org/packages/26/33/f1652d0c59fa51de18492ee2345b65372550501ad061daa38f950be390b6/statsmodels-0.14.6-cp314-cp314-win_amd64.whl", hash = "sha256:151b73e29f01fe619dbce7f66d61a356e9d1fe5e906529b78807df9189c37721", size = 9588010, upload-time = "2025-12-05T23:14:07.28Z" }, ] [[package]] @@ -2384,58 +2647,28 @@ dependencies = [ { name = "decorator" }, { name = "dm-tree" }, { name = "gast" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "six" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/fe/b6/e116761ceeb880b7ad4c6a7e1203538754dd7dda42538f08d6daaf8dfa4d/tensorflow_probability-0.25.0-py2.py3-none-any.whl", hash = "sha256:f3f4d6431656c0122906888afe1b67b4400e82bd7f254b45b92e6c5b84ea8e3e", size = 6979403, upload-time = "2024-11-08T16:25:57.238Z" }, ] -[[package]] -name = "tomli" -version = "2.4.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/82/30/31573e9457673ab10aa432461bee537ce6cef177667deca369efb79df071/tomli-2.4.0.tar.gz", hash = "sha256:aa89c3f6c277dd275d8e243ad24f3b5e701491a860d5121f2cdd399fbb31fc9c", size = 17477, upload-time = "2026-01-11T11:22:38.165Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/3c/d9/3dc2289e1f3b32eb19b9785b6a006b28ee99acb37d1d47f78d4c10e28bf8/tomli-2.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b5ef256a3fd497d4973c11bf142e9ed78b150d36f5773f1ca6088c230ffc5867", size = 153663, upload-time = "2026-01-11T11:21:45.27Z" }, - { url = "https://files.pythonhosted.org/packages/51/32/ef9f6845e6b9ca392cd3f64f9ec185cc6f09f0a2df3db08cbe8809d1d435/tomli-2.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5572e41282d5268eb09a697c89a7bee84fae66511f87533a6f88bd2f7b652da9", size = 148469, upload-time = "2026-01-11T11:21:46.873Z" }, - { url = "https://files.pythonhosted.org/packages/d6/c2/506e44cce89a8b1b1e047d64bd495c22c9f71f21e05f380f1a950dd9c217/tomli-2.4.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:551e321c6ba03b55676970b47cb1b73f14a0a4dce6a3e1a9458fd6d921d72e95", size = 236039, upload-time = "2026-01-11T11:21:48.503Z" }, - { url = "https://files.pythonhosted.org/packages/b3/40/e1b65986dbc861b7e986e8ec394598187fa8aee85b1650b01dd925ca0be8/tomli-2.4.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5e3f639a7a8f10069d0e15408c0b96a2a828cfdec6fca05296ebcdcc28ca7c76", size = 243007, upload-time = "2026-01-11T11:21:49.456Z" }, - { url = "https://files.pythonhosted.org/packages/9c/6f/6e39ce66b58a5b7ae572a0f4352ff40c71e8573633deda43f6a379d56b3e/tomli-2.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1b168f2731796b045128c45982d3a4874057626da0e2ef1fdd722848b741361d", size = 240875, upload-time = "2026-01-11T11:21:50.755Z" }, - { url = "https://files.pythonhosted.org/packages/aa/ad/cb089cb190487caa80204d503c7fd0f4d443f90b95cf4ef5cf5aa0f439b0/tomli-2.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:133e93646ec4300d651839d382d63edff11d8978be23da4cc106f5a18b7d0576", size = 246271, upload-time = "2026-01-11T11:21:51.81Z" }, - { url = "https://files.pythonhosted.org/packages/0b/63/69125220e47fd7a3a27fd0de0c6398c89432fec41bc739823bcc66506af6/tomli-2.4.0-cp311-cp311-win32.whl", hash = "sha256:b6c78bdf37764092d369722d9946cb65b8767bfa4110f902a1b2542d8d173c8a", size = 96770, upload-time = "2026-01-11T11:21:52.647Z" }, - { url = "https://files.pythonhosted.org/packages/1e/0d/a22bb6c83f83386b0008425a6cd1fa1c14b5f3dd4bad05e98cf3dbbf4a64/tomli-2.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:d3d1654e11d724760cdb37a3d7691f0be9db5fbdaef59c9f532aabf87006dbaa", size = 107626, upload-time = "2026-01-11T11:21:53.459Z" }, - { url = "https://files.pythonhosted.org/packages/2f/6d/77be674a3485e75cacbf2ddba2b146911477bd887dda9d8c9dfb2f15e871/tomli-2.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:cae9c19ed12d4e8f3ebf46d1a75090e4c0dc16271c5bce1c833ac168f08fb614", size = 94842, upload-time = "2026-01-11T11:21:54.831Z" }, - { url = "https://files.pythonhosted.org/packages/3c/43/7389a1869f2f26dba52404e1ef13b4784b6b37dac93bac53457e3ff24ca3/tomli-2.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:920b1de295e72887bafa3ad9f7a792f811847d57ea6b1215154030cf131f16b1", size = 154894, upload-time = "2026-01-11T11:21:56.07Z" }, - { url = "https://files.pythonhosted.org/packages/e9/05/2f9bf110b5294132b2edf13fe6ca6ae456204f3d749f623307cbb7a946f2/tomli-2.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7d6d9a4aee98fac3eab4952ad1d73aee87359452d1c086b5ceb43ed02ddb16b8", size = 149053, upload-time = "2026-01-11T11:21:57.467Z" }, - { url = "https://files.pythonhosted.org/packages/e8/41/1eda3ca1abc6f6154a8db4d714a4d35c4ad90adc0bcf700657291593fbf3/tomli-2.4.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:36b9d05b51e65b254ea6c2585b59d2c4cb91c8a3d91d0ed0f17591a29aaea54a", size = 243481, upload-time = "2026-01-11T11:21:58.661Z" }, - { url = "https://files.pythonhosted.org/packages/d2/6d/02ff5ab6c8868b41e7d4b987ce2b5f6a51d3335a70aa144edd999e055a01/tomli-2.4.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1c8a885b370751837c029ef9bc014f27d80840e48bac415f3412e6593bbc18c1", size = 251720, upload-time = "2026-01-11T11:22:00.178Z" }, - { url = "https://files.pythonhosted.org/packages/7b/57/0405c59a909c45d5b6f146107c6d997825aa87568b042042f7a9c0afed34/tomli-2.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8768715ffc41f0008abe25d808c20c3d990f42b6e2e58305d5da280ae7d1fa3b", size = 247014, upload-time = "2026-01-11T11:22:01.238Z" }, - { url = "https://files.pythonhosted.org/packages/2c/0e/2e37568edd944b4165735687cbaf2fe3648129e440c26d02223672ee0630/tomli-2.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7b438885858efd5be02a9a133caf5812b8776ee0c969fea02c45e8e3f296ba51", size = 251820, upload-time = "2026-01-11T11:22:02.727Z" }, - { url = "https://files.pythonhosted.org/packages/5a/1c/ee3b707fdac82aeeb92d1a113f803cf6d0f37bdca0849cb489553e1f417a/tomli-2.4.0-cp312-cp312-win32.whl", hash = "sha256:0408e3de5ec77cc7f81960c362543cbbd91ef883e3138e81b729fc3eea5b9729", size = 97712, upload-time = "2026-01-11T11:22:03.777Z" }, - { url = "https://files.pythonhosted.org/packages/69/13/c07a9177d0b3bab7913299b9278845fc6eaaca14a02667c6be0b0a2270c8/tomli-2.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:685306e2cc7da35be4ee914fd34ab801a6acacb061b6a7abca922aaf9ad368da", size = 108296, upload-time = "2026-01-11T11:22:04.86Z" }, - { url = "https://files.pythonhosted.org/packages/18/27/e267a60bbeeee343bcc279bb9e8fbed0cbe224bc7b2a3dc2975f22809a09/tomli-2.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:5aa48d7c2356055feef06a43611fc401a07337d5b006be13a30f6c58f869e3c3", size = 94553, upload-time = "2026-01-11T11:22:05.854Z" }, - { url = "https://files.pythonhosted.org/packages/23/d1/136eb2cb77520a31e1f64cbae9d33ec6df0d78bdf4160398e86eec8a8754/tomli-2.4.0-py3-none-any.whl", hash = "sha256:1f776e7d669ebceb01dee46484485f43a4048746235e683bcdffacdf1fb4785a", size = 14477, upload-time = "2026-01-11T11:22:37.446Z" }, -] - [[package]] name = "tornado" -version = "6.5.4" +version = "6.5.5" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/37/1d/0a336abf618272d53f62ebe274f712e213f5a03c0b2339575430b8362ef2/tornado-6.5.4.tar.gz", hash = "sha256:a22fa9047405d03260b483980635f0b041989d8bcc9a313f8fe18b411d84b1d7", size = 513632, upload-time = "2025-12-15T19:21:03.836Z" } +sdist = { url = "https://files.pythonhosted.org/packages/f8/f1/3173dfa4a18db4a9b03e5d55325559dab51ee653763bb8745a75af491286/tornado-6.5.5.tar.gz", hash = "sha256:192b8f3ea91bd7f1f50c06955416ed76c6b72f96779b962f07f911b91e8d30e9", size = 516006, upload-time = "2026-03-10T21:31:02.067Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/ab/a9/e94a9d5224107d7ce3cc1fab8d5dc97f5ea351ccc6322ee4fb661da94e35/tornado-6.5.4-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:d6241c1a16b1c9e4cc28148b1cda97dd1c6cb4fb7068ac1bedc610768dff0ba9", size = 443909, upload-time = "2025-12-15T19:20:48.382Z" }, - { url = "https://files.pythonhosted.org/packages/db/7e/f7b8d8c4453f305a51f80dbb49014257bb7d28ccb4bbb8dd328ea995ecad/tornado-6.5.4-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2d50f63dda1d2cac3ae1fa23d254e16b5e38153758470e9956cbc3d813d40843", size = 442163, upload-time = "2025-12-15T19:20:49.791Z" }, - { url = "https://files.pythonhosted.org/packages/ba/b5/206f82d51e1bfa940ba366a8d2f83904b15942c45a78dd978b599870ab44/tornado-6.5.4-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d1cf66105dc6acb5af613c054955b8137e34a03698aa53272dbda4afe252be17", size = 445746, upload-time = "2025-12-15T19:20:51.491Z" }, - { url = "https://files.pythonhosted.org/packages/8e/9d/1a3338e0bd30ada6ad4356c13a0a6c35fbc859063fa7eddb309183364ac1/tornado-6.5.4-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:50ff0a58b0dc97939d29da29cd624da010e7f804746621c78d14b80238669335", size = 445083, upload-time = "2025-12-15T19:20:52.778Z" }, - { url = "https://files.pythonhosted.org/packages/50/d4/e51d52047e7eb9a582da59f32125d17c0482d065afd5d3bc435ff2120dc5/tornado-6.5.4-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5fb5e04efa54cf0baabdd10061eb4148e0be137166146fff835745f59ab9f7f", size = 445315, upload-time = "2025-12-15T19:20:53.996Z" }, - { url = "https://files.pythonhosted.org/packages/27/07/2273972f69ca63dbc139694a3fc4684edec3ea3f9efabf77ed32483b875c/tornado-6.5.4-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:9c86b1643b33a4cd415f8d0fe53045f913bf07b4a3ef646b735a6a86047dda84", size = 446003, upload-time = "2025-12-15T19:20:56.101Z" }, - { url = "https://files.pythonhosted.org/packages/d1/83/41c52e47502bf7260044413b6770d1a48dda2f0246f95ee1384a3cd9c44a/tornado-6.5.4-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:6eb82872335a53dd063a4f10917b3efd28270b56a33db69009606a0312660a6f", size = 445412, upload-time = "2025-12-15T19:20:57.398Z" }, - { url = "https://files.pythonhosted.org/packages/10/c7/bc96917f06cbee182d44735d4ecde9c432e25b84f4c2086143013e7b9e52/tornado-6.5.4-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:6076d5dda368c9328ff41ab5d9dd3608e695e8225d1cd0fd1e006f05da3635a8", size = 445392, upload-time = "2025-12-15T19:20:58.692Z" }, - { url = "https://files.pythonhosted.org/packages/0c/1a/d7592328d037d36f2d2462f4bc1fbb383eec9278bc786c1b111cbbd44cfa/tornado-6.5.4-cp39-abi3-win32.whl", hash = "sha256:1768110f2411d5cd281bac0a090f707223ce77fd110424361092859e089b38d1", size = 446481, upload-time = "2025-12-15T19:21:00.008Z" }, - { url = "https://files.pythonhosted.org/packages/d6/6d/c69be695a0a64fd37a97db12355a035a6d90f79067a3cf936ec2b1dc38cd/tornado-6.5.4-cp39-abi3-win_amd64.whl", hash = "sha256:fa07d31e0cd85c60713f2b995da613588aa03e1303d75705dca6af8babc18ddc", size = 446886, upload-time = "2025-12-15T19:21:01.287Z" }, - { url = "https://files.pythonhosted.org/packages/50/49/8dc3fd90902f70084bd2cd059d576ddb4f8bb44c2c7c0e33a11422acb17e/tornado-6.5.4-cp39-abi3-win_arm64.whl", hash = "sha256:053e6e16701eb6cbe641f308f4c1a9541f91b6261991160391bfc342e8a551a1", size = 445910, upload-time = "2025-12-15T19:21:02.571Z" }, + { url = "https://files.pythonhosted.org/packages/59/8c/77f5097695f4dd8255ecbd08b2a1ed8ba8b953d337804dd7080f199e12bf/tornado-6.5.5-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:487dc9cc380e29f58c7ab88f9e27cdeef04b2140862e5076a66fb6bb68bb1bfa", size = 445983, upload-time = "2026-03-10T21:30:44.28Z" }, + { url = "https://files.pythonhosted.org/packages/ab/5e/7625b76cd10f98f1516c36ce0346de62061156352353ef2da44e5c21523c/tornado-6.5.5-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:65a7f1d46d4bb41df1ac99f5fcb685fb25c7e61613742d5108b010975a9a6521", size = 444246, upload-time = "2026-03-10T21:30:46.571Z" }, + { url = "https://files.pythonhosted.org/packages/b2/04/7b5705d5b3c0fab088f434f9c83edac1573830ca49ccf29fb83bf7178eec/tornado-6.5.5-cp39-abi3-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:e74c92e8e65086b338fd56333fb9a68b9f6f2fe7ad532645a290a464bcf46be5", size = 447229, upload-time = "2026-03-10T21:30:48.273Z" }, + { url = "https://files.pythonhosted.org/packages/34/01/74e034a30ef59afb4097ef8659515e96a39d910b712a89af76f5e4e1f93c/tornado-6.5.5-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:435319e9e340276428bbdb4e7fa732c2d399386d1de5686cb331ec8eee754f07", size = 448192, upload-time = "2026-03-10T21:30:51.22Z" }, + { url = "https://files.pythonhosted.org/packages/be/00/fe9e02c5a96429fce1a1d15a517f5d8444f9c412e0bb9eadfbe3b0fc55bf/tornado-6.5.5-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:3f54aa540bdbfee7b9eb268ead60e7d199de5021facd276819c193c0fb28ea4e", size = 448039, upload-time = "2026-03-10T21:30:53.52Z" }, + { url = "https://files.pythonhosted.org/packages/82/9e/656ee4cec0398b1d18d0f1eb6372c41c6b889722641d84948351ae19556d/tornado-6.5.5-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:36abed1754faeb80fbd6e64db2758091e1320f6bba74a4cf8c09cd18ccce8aca", size = 447445, upload-time = "2026-03-10T21:30:55.541Z" }, + { url = "https://files.pythonhosted.org/packages/5a/76/4921c00511f88af86a33de770d64141170f1cfd9c00311aea689949e274e/tornado-6.5.5-cp39-abi3-win32.whl", hash = "sha256:dd3eafaaeec1c7f2f8fdcd5f964e8907ad788fe8a5a32c4426fbbdda621223b7", size = 448582, upload-time = "2026-03-10T21:30:57.142Z" }, + { url = "https://files.pythonhosted.org/packages/2c/23/f6c6112a04d28eed765e374435fb1a9198f73e1ec4b4024184f21faeb1ad/tornado-6.5.5-cp39-abi3-win_amd64.whl", hash = "sha256:6443a794ba961a9f619b1ae926a2e900ac20c34483eea67be4ed8f1e58d3ef7b", size = 448990, upload-time = "2026-03-10T21:30:58.857Z" }, + { url = "https://files.pythonhosted.org/packages/b7/c8/876602cbc96469911f0939f703453c1157b0c826ecb05bdd32e023397d4e/tornado-6.5.5-cp39-abi3-win_arm64.whl", hash = "sha256:2c9a876e094109333f888539ddb2de4361743e5d21eece20688e3e351e4990a6", size = 448016, upload-time = "2026-03-10T21:31:00.43Z" }, ] [[package]] @@ -2461,7 +2694,7 @@ wheels = [ [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "annotated-doc" }, @@ -2469,9 +2702,9 @@ dependencies = [ { name = "rich" }, { name = "shellingham" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/5a/b6/3e681d3b6bb22647509bdbfdd18055d5adc0dce5c5585359fa46ff805fdc/typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504", size = 118380, upload-time = "2026-02-16T22:08:48.496Z" } +sdist = { url = "https://files.pythonhosted.org/packages/f5/24/cb09efec5cc954f7f9b930bf8279447d24618bb6758d4f6adf2574c41780/typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45", size = 118613, upload-time = "2026-02-21T16:54:40.609Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/85/d0/4da85c2a45054bb661993c93524138ace4956cb075a7ae0c9d1deadc331b/typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8", size = 56441, upload-time = "2026-02-16T22:08:47.535Z" }, + { url = "https://files.pythonhosted.org/packages/4a/91/48db081e7a63bb37284f9fbcefda7c44c277b18b0e13fbc36ea2335b71e6/typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e", size = 56085, upload-time = "2026-02-21T16:54:41.616Z" }, ] [[package]] @@ -2497,25 +2730,24 @@ wheels = [ [[package]] name = "tzdata" -version = "2025.3" +version = "2026.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/5e/a7/c202b344c5ca7daf398f3b8a477eeb205cf3b6f32e7ec3a6bac0629ca975/tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7", size = 196772, upload-time = "2025-12-13T17:45:35.667Z" } +sdist = { url = "https://files.pythonhosted.org/packages/19/f5/cd531b2d15a671a40c0f66cf06bc3570a12cd56eef98960068ebbad1bf5a/tzdata-2026.1.tar.gz", hash = "sha256:67658a1903c75917309e753fdc349ac0efd8c27db7a0cb406a25be4840f87f98", size = 197639, upload-time = "2026-04-03T11:25:22.002Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c7/b0/003792df09decd6849a5e39c28b513c06e84436a54440380862b5aeff25d/tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1", size = 348521, upload-time = "2025-12-13T17:45:33.889Z" }, + { url = "https://files.pythonhosted.org/packages/b0/70/d460bd685a170790ec89317e9bd33047988e4bce507b831f5db771e142de/tzdata-2026.1-py2.py3-none-any.whl", hash = "sha256:4b1d2be7ac37ceafd7327b961aa3a54e467efbdb563a23655fbfe0d39cfc42a9", size = 348952, upload-time = "2026-04-03T11:25:20.313Z" }, ] [[package]] name = "uvicorn" -version = "0.41.0" +version = "0.43.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "click" }, { name = "h11" }, - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/32/ce/eeb58ae4ac36fe09e3842eb02e0eb676bf2c53ae062b98f1b2531673efdd/uvicorn-0.41.0.tar.gz", hash = "sha256:09d11cf7008da33113824ee5a1c6422d89fbc2ff476540d69a34c87fab8b571a", size = 82633, upload-time = "2026-02-16T23:07:24.1Z" } +sdist = { url = "https://files.pythonhosted.org/packages/62/f2/368268300fb8af33743508d738ef7bb4d56afdb46c6d9c0fa3dd515df171/uvicorn-0.43.0.tar.gz", hash = "sha256:ab1652d2fb23abf124f36ccc399828558880def222c3cb3d98d24021520dc6e8", size = 85686, upload-time = "2026-04-03T18:37:48.984Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/83/e4/d04a086285c20886c0daad0e026f250869201013d18f81d9ff5eada73a88/uvicorn-0.41.0-py3-none-any.whl", hash = "sha256:29e35b1d2c36a04b9e180d4007ede3bcb32a85fbdfd6c6aeb3f26839de088187", size = 68783, upload-time = "2026-02-16T23:07:22.357Z" }, + { url = "https://files.pythonhosted.org/packages/55/df/0cf5b0c451602748fdc7a702d4667f6e209bf96aa6e3160d754234445f2a/uvicorn-0.43.0-py3-none-any.whl", hash = "sha256:46fac64f487fd968cd999e5e49efbbe64bd231b5bd8b4a0b482a23ebce499620", size = 68591, upload-time = "2026-04-03T18:37:47.64Z" }, ] [package.optional-dependencies] @@ -2535,12 +2767,6 @@ version = "0.22.1" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/06/f0/18d39dbd1971d6d62c4629cc7fa67f74821b0dc1f5a77af43719de7936a7/uvloop-0.22.1.tar.gz", hash = "sha256:6c84bae345b9147082b17371e3dd5d42775bddce91f885499017f4607fdaf39f", size = 2443250, upload-time = "2025-10-16T22:17:19.342Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/eb/14/ecceb239b65adaaf7fde510aa8bd534075695d1e5f8dadfa32b5723d9cfb/uvloop-0.22.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ef6f0d4cc8a9fa1f6a910230cd53545d9a14479311e87e3cb225495952eb672c", size = 1343335, upload-time = "2025-10-16T22:16:11.43Z" }, - { url = "https://files.pythonhosted.org/packages/ba/ae/6f6f9af7f590b319c94532b9567409ba11f4fa71af1148cab1bf48a07048/uvloop-0.22.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7cd375a12b71d33d46af85a3343b35d98e8116134ba404bd657b3b1d15988792", size = 742903, upload-time = "2025-10-16T22:16:12.979Z" }, - { url = "https://files.pythonhosted.org/packages/09/bd/3667151ad0702282a1f4d5d29288fce8a13c8b6858bf0978c219cd52b231/uvloop-0.22.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ac33ed96229b7790eb729702751c0e93ac5bc3bcf52ae9eccbff30da09194b86", size = 3648499, upload-time = "2025-10-16T22:16:14.451Z" }, - { url = "https://files.pythonhosted.org/packages/b3/f6/21657bb3beb5f8c57ce8be3b83f653dd7933c2fd00545ed1b092d464799a/uvloop-0.22.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:481c990a7abe2c6f4fc3d98781cc9426ebd7f03a9aaa7eb03d3bfc68ac2a46bd", size = 3700133, upload-time = "2025-10-16T22:16:16.272Z" }, - { url = "https://files.pythonhosted.org/packages/09/e0/604f61d004ded805f24974c87ddd8374ef675644f476f01f1df90e4cdf72/uvloop-0.22.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a592b043a47ad17911add5fbd087c76716d7c9ccc1d64ec9249ceafd735f03c2", size = 3512681, upload-time = "2025-10-16T22:16:18.07Z" }, - { url = "https://files.pythonhosted.org/packages/bb/ce/8491fd370b0230deb5eac69c7aae35b3be527e25a911c0acdffb922dc1cd/uvloop-0.22.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:1489cf791aa7b6e8c8be1c5a080bae3a672791fcb4e9e12249b05862a2ca9cec", size = 3615261, upload-time = "2025-10-16T22:16:19.596Z" }, { url = "https://files.pythonhosted.org/packages/c7/d5/69900f7883235562f1f50d8184bb7dd84a2fb61e9ec63f3782546fdbd057/uvloop-0.22.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c60ebcd36f7b240b30788554b6f0782454826a0ed765d8430652621b5de674b9", size = 1352420, upload-time = "2025-10-16T22:16:21.187Z" }, { url = "https://files.pythonhosted.org/packages/a8/73/c4e271b3bce59724e291465cc936c37758886a4868787da0278b3b56b905/uvloop-0.22.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3b7f102bf3cb1995cfeaee9321105e8f5da76fdb104cdad8986f85461a1b7b77", size = 748677, upload-time = "2025-10-16T22:16:22.558Z" }, { url = "https://files.pythonhosted.org/packages/86/94/9fb7fad2f824d25f8ecac0d70b94d0d48107ad5ece03769a9c543444f78a/uvloop-0.22.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53c85520781d84a4b8b230e24a5af5b0778efdb39142b424990ff1ef7c48ba21", size = 3753819, upload-time = "2025-10-16T22:16:23.903Z" }, @@ -2553,6 +2779,24 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/5f/6f/e62b4dfc7ad6518e7eff2516f680d02a0f6eb62c0c212e152ca708a0085e/uvloop-0.22.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7b5b1ac819a3f946d3b2ee07f09149578ae76066d70b44df3fa990add49a82e4", size = 4426307, upload-time = "2025-10-16T22:16:32.917Z" }, { url = "https://files.pythonhosted.org/packages/90/60/97362554ac21e20e81bcef1150cb2a7e4ffdaf8ea1e5b2e8bf7a053caa18/uvloop-0.22.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:e047cc068570bac9866237739607d1313b9253c3051ad84738cbb095be0537b2", size = 4131970, upload-time = "2025-10-16T22:16:34.015Z" }, { url = "https://files.pythonhosted.org/packages/99/39/6b3f7d234ba3964c428a6e40006340f53ba37993f46ed6e111c6e9141d18/uvloop-0.22.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:512fec6815e2dd45161054592441ef76c830eddaad55c8aa30952e6fe1ed07c0", size = 4296343, upload-time = "2025-10-16T22:16:35.149Z" }, + { url = "https://files.pythonhosted.org/packages/89/8c/182a2a593195bfd39842ea68ebc084e20c850806117213f5a299dfc513d9/uvloop-0.22.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:561577354eb94200d75aca23fbde86ee11be36b00e52a4eaf8f50fb0c86b7705", size = 1358611, upload-time = "2025-10-16T22:16:36.833Z" }, + { url = "https://files.pythonhosted.org/packages/d2/14/e301ee96a6dc95224b6f1162cd3312f6d1217be3907b79173b06785f2fe7/uvloop-0.22.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1cdf5192ab3e674ca26da2eada35b288d2fa49fdd0f357a19f0e7c4e7d5077c8", size = 751811, upload-time = "2025-10-16T22:16:38.275Z" }, + { url = "https://files.pythonhosted.org/packages/b7/02/654426ce265ac19e2980bfd9ea6590ca96a56f10c76e63801a2df01c0486/uvloop-0.22.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6e2ea3d6190a2968f4a14a23019d3b16870dd2190cd69c8180f7c632d21de68d", size = 4288562, upload-time = "2025-10-16T22:16:39.375Z" }, + { url = "https://files.pythonhosted.org/packages/15/c0/0be24758891ef825f2065cd5db8741aaddabe3e248ee6acc5e8a80f04005/uvloop-0.22.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0530a5fbad9c9e4ee3f2b33b148c6a64d47bbad8000ea63704fa8260f4cf728e", size = 4366890, upload-time = "2025-10-16T22:16:40.547Z" }, + { url = "https://files.pythonhosted.org/packages/d2/53/8369e5219a5855869bcee5f4d317f6da0e2c669aecf0ef7d371e3d084449/uvloop-0.22.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bc5ef13bbc10b5335792360623cc378d52d7e62c2de64660616478c32cd0598e", size = 4119472, upload-time = "2025-10-16T22:16:41.694Z" }, + { url = "https://files.pythonhosted.org/packages/f8/ba/d69adbe699b768f6b29a5eec7b47dd610bd17a69de51b251126a801369ea/uvloop-0.22.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:1f38ec5e3f18c8a10ded09742f7fb8de0108796eb673f30ce7762ce1b8550cad", size = 4239051, upload-time = "2025-10-16T22:16:43.224Z" }, + { url = "https://files.pythonhosted.org/packages/90/cd/b62bdeaa429758aee8de8b00ac0dd26593a9de93d302bff3d21439e9791d/uvloop-0.22.1-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:3879b88423ec7e97cd4eba2a443aa26ed4e59b45e6b76aabf13fe2f27023a142", size = 1362067, upload-time = "2025-10-16T22:16:44.503Z" }, + { url = "https://files.pythonhosted.org/packages/0d/f8/a132124dfda0777e489ca86732e85e69afcd1ff7686647000050ba670689/uvloop-0.22.1-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:4baa86acedf1d62115c1dc6ad1e17134476688f08c6efd8a2ab076e815665c74", size = 752423, upload-time = "2025-10-16T22:16:45.968Z" }, + { url = "https://files.pythonhosted.org/packages/a3/94/94af78c156f88da4b3a733773ad5ba0b164393e357cc4bd0ab2e2677a7d6/uvloop-0.22.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:297c27d8003520596236bdb2335e6b3f649480bd09e00d1e3a99144b691d2a35", size = 4272437, upload-time = "2025-10-16T22:16:47.451Z" }, + { url = "https://files.pythonhosted.org/packages/b5/35/60249e9fd07b32c665192cec7af29e06c7cd96fa1d08b84f012a56a0b38e/uvloop-0.22.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c1955d5a1dd43198244d47664a5858082a3239766a839b2102a269aaff7a4e25", size = 4292101, upload-time = "2025-10-16T22:16:49.318Z" }, + { url = "https://files.pythonhosted.org/packages/02/62/67d382dfcb25d0a98ce73c11ed1a6fba5037a1a1d533dcbb7cab033a2636/uvloop-0.22.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:b31dc2fccbd42adc73bc4e7cdbae4fc5086cf378979e53ca5d0301838c5682c6", size = 4114158, upload-time = "2025-10-16T22:16:50.517Z" }, + { url = "https://files.pythonhosted.org/packages/f0/7a/f1171b4a882a5d13c8b7576f348acfe6074d72eaf52cccef752f748d4a9f/uvloop-0.22.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:93f617675b2d03af4e72a5333ef89450dfaa5321303ede6e67ba9c9d26878079", size = 4177360, upload-time = "2025-10-16T22:16:52.646Z" }, + { url = "https://files.pythonhosted.org/packages/79/7b/b01414f31546caf0919da80ad57cbfe24c56b151d12af68cee1b04922ca8/uvloop-0.22.1-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:37554f70528f60cad66945b885eb01f1bb514f132d92b6eeed1c90fd54ed6289", size = 1454790, upload-time = "2025-10-16T22:16:54.355Z" }, + { url = "https://files.pythonhosted.org/packages/d4/31/0bb232318dd838cad3fa8fb0c68c8b40e1145b32025581975e18b11fab40/uvloop-0.22.1-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:b76324e2dc033a0b2f435f33eb88ff9913c156ef78e153fb210e03c13da746b3", size = 796783, upload-time = "2025-10-16T22:16:55.906Z" }, + { url = "https://files.pythonhosted.org/packages/42/38/c9b09f3271a7a723a5de69f8e237ab8e7803183131bc57c890db0b6bb872/uvloop-0.22.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:badb4d8e58ee08dad957002027830d5c3b06aea446a6a3744483c2b3b745345c", size = 4647548, upload-time = "2025-10-16T22:16:57.008Z" }, + { url = "https://files.pythonhosted.org/packages/c1/37/945b4ca0ac27e3dc4952642d4c900edd030b3da6c9634875af6e13ae80e5/uvloop-0.22.1-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b91328c72635f6f9e0282e4a57da7470c7350ab1c9f48546c0f2866205349d21", size = 4467065, upload-time = "2025-10-16T22:16:58.206Z" }, + { url = "https://files.pythonhosted.org/packages/97/cc/48d232f33d60e2e2e0b42f4e73455b146b76ebe216487e862700457fbf3c/uvloop-0.22.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:daf620c2995d193449393d6c62131b3fbd40a63bf7b307a1527856ace637fe88", size = 4328384, upload-time = "2025-10-16T22:16:59.36Z" }, + { url = "https://files.pythonhosted.org/packages/e4/16/c1fd27e9549f3c4baf1dc9c20c456cd2f822dbf8de9f463824b0c0357e06/uvloop-0.22.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:6cde23eeda1a25c75b2e07d39970f3374105d5eafbaab2a4482be82f272d5a5e", size = 4296730, upload-time = "2025-10-16T22:17:00.744Z" }, ] [[package]] @@ -2573,18 +2817,6 @@ dependencies = [ ] sdist = { url = "https://files.pythonhosted.org/packages/c2/c9/8869df9b2a2d6c59d79220a4db37679e74f807c559ffe5265e08b227a210/watchfiles-1.1.1.tar.gz", hash = "sha256:a173cb5c16c4f40ab19cecf48a534c409f7ea983ab8fed0741304a1c0a31b3f2", size = 94440, upload-time = "2025-10-14T15:06:21.08Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/a7/1a/206e8cf2dd86fddf939165a57b4df61607a1e0add2785f170a3f616b7d9f/watchfiles-1.1.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:eef58232d32daf2ac67f42dea51a2c80f0d03379075d44a587051e63cc2e368c", size = 407318, upload-time = "2025-10-14T15:04:18.753Z" }, - { url = "https://files.pythonhosted.org/packages/b3/0f/abaf5262b9c496b5dad4ed3c0e799cbecb1f8ea512ecb6ddd46646a9fca3/watchfiles-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43", size = 394478, upload-time = "2025-10-14T15:04:20.297Z" }, - { url = "https://files.pythonhosted.org/packages/b1/04/9cc0ba88697b34b755371f5ace8d3a4d9a15719c07bdc7bd13d7d8c6a341/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ca65483439f9c791897f7db49202301deb6e15fe9f8fe2fed555bf986d10c31", size = 449894, upload-time = "2025-10-14T15:04:21.527Z" }, - { url = "https://files.pythonhosted.org/packages/d2/9c/eda4615863cd8621e89aed4df680d8c3ec3da6a4cf1da113c17decd87c7f/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f0ab1c1af0cb38e3f598244c17919fb1a84d1629cc08355b0074b6d7f53138ac", size = 459065, upload-time = "2025-10-14T15:04:22.795Z" }, - { url = "https://files.pythonhosted.org/packages/84/13/f28b3f340157d03cbc8197629bc109d1098764abe1e60874622a0be5c112/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3bc570d6c01c206c46deb6e935a260be44f186a2f05179f52f7fcd2be086a94d", size = 488377, upload-time = "2025-10-14T15:04:24.138Z" }, - { url = "https://files.pythonhosted.org/packages/86/93/cfa597fa9389e122488f7ffdbd6db505b3b915ca7435ecd7542e855898c2/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e84087b432b6ac94778de547e08611266f1f8ffad28c0ee4c82e028b0fc5966d", size = 595837, upload-time = "2025-10-14T15:04:25.057Z" }, - { url = "https://files.pythonhosted.org/packages/57/1e/68c1ed5652b48d89fc24d6af905d88ee4f82fa8bc491e2666004e307ded1/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:620bae625f4cb18427b1bb1a2d9426dc0dd5a5ba74c7c2cdb9de405f7b129863", size = 473456, upload-time = "2025-10-14T15:04:26.497Z" }, - { url = "https://files.pythonhosted.org/packages/d5/dc/1a680b7458ffa3b14bb64878112aefc8f2e4f73c5af763cbf0bd43100658/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:544364b2b51a9b0c7000a4b4b02f90e9423d97fbbf7e06689236443ebcad81ab", size = 455614, upload-time = "2025-10-14T15:04:27.539Z" }, - { url = "https://files.pythonhosted.org/packages/61/a5/3d782a666512e01eaa6541a72ebac1d3aae191ff4a31274a66b8dd85760c/watchfiles-1.1.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bbe1ef33d45bc71cf21364df962af171f96ecaeca06bd9e3d0b583efb12aec82", size = 630690, upload-time = "2025-10-14T15:04:28.495Z" }, - { url = "https://files.pythonhosted.org/packages/9b/73/bb5f38590e34687b2a9c47a244aa4dd50c56a825969c92c9c5fc7387cea1/watchfiles-1.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4", size = 622459, upload-time = "2025-10-14T15:04:29.491Z" }, - { url = "https://files.pythonhosted.org/packages/f1/ac/c9bb0ec696e07a20bd58af5399aeadaef195fb2c73d26baf55180fe4a942/watchfiles-1.1.1-cp310-cp310-win32.whl", hash = "sha256:3f6d37644155fb5beca5378feb8c1708d5783145f2a0f1c4d5a061a210254844", size = 272663, upload-time = "2025-10-14T15:04:30.435Z" }, - { url = "https://files.pythonhosted.org/packages/11/a0/a60c5a7c2ec59fa062d9a9c61d02e3b6abd94d32aac2d8344c4bdd033326/watchfiles-1.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:a36d8efe0f290835fd0f33da35042a1bb5dc0e83cbc092dcf69bce442579e88e", size = 287453, upload-time = "2025-10-14T15:04:31.53Z" }, { url = "https://files.pythonhosted.org/packages/1f/f8/2c5f479fb531ce2f0564eda479faecf253d886b1ab3630a39b7bf7362d46/watchfiles-1.1.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f57b396167a2565a4e8b5e56a5a1c537571733992b226f4f1197d79e94cf0ae5", size = 406529, upload-time = "2025-10-14T15:04:32.899Z" }, { url = "https://files.pythonhosted.org/packages/fe/cd/f515660b1f32f65df671ddf6f85bfaca621aee177712874dc30a97397977/watchfiles-1.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741", size = 394384, upload-time = "2025-10-14T15:04:33.761Z" }, { url = "https://files.pythonhosted.org/packages/7b/c3/28b7dc99733eab43fca2d10f55c86e03bd6ab11ca31b802abac26b23d161/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e43d39a741e972bab5d8100b5cdacf69db64e34eb19b6e9af162bccf63c5cc6", size = 448789, upload-time = "2025-10-14T15:04:34.679Z" }, @@ -2611,10 +2843,52 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/0a/bf/95895e78dd75efe9a7f31733607f384b42eb5feb54bd2eb6ed57cc2e94f4/watchfiles-1.1.1-cp312-cp312-win32.whl", hash = "sha256:859e43a1951717cc8de7f4c77674a6d389b106361585951d9e69572823f311d9", size = 272042, upload-time = "2025-10-14T15:04:59.046Z" }, { url = "https://files.pythonhosted.org/packages/87/0a/90eb755f568de2688cb220171c4191df932232c20946966c27a59c400850/watchfiles-1.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:91d4c9a823a8c987cce8fa2690923b069966dabb196dd8d137ea2cede885fde9", size = 288410, upload-time = "2025-10-14T15:05:00.081Z" }, { url = "https://files.pythonhosted.org/packages/36/76/f322701530586922fbd6723c4f91ace21364924822a8772c549483abed13/watchfiles-1.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:a625815d4a2bdca61953dbba5a39d60164451ef34c88d751f6c368c3ea73d404", size = 278209, upload-time = "2025-10-14T15:05:01.168Z" }, - { url = "https://files.pythonhosted.org/packages/ba/4c/a888c91e2e326872fa4705095d64acd8aa2fb9c1f7b9bd0588f33850516c/watchfiles-1.1.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3", size = 409611, upload-time = "2025-10-14T15:06:05.809Z" }, - { url = "https://files.pythonhosted.org/packages/1e/c7/5420d1943c8e3ce1a21c0a9330bcf7edafb6aa65d26b21dbb3267c9e8112/watchfiles-1.1.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:672b8adf25b1a0d35c96b5888b7b18699d27d4194bac8beeae75be4b7a3fc9b2", size = 396889, upload-time = "2025-10-14T15:06:07.035Z" }, - { url = "https://files.pythonhosted.org/packages/0c/e5/0072cef3804ce8d3aaddbfe7788aadff6b3d3f98a286fdbee9fd74ca59a7/watchfiles-1.1.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77a13aea58bc2b90173bc69f2a90de8e282648939a00a602e1dc4ee23e26b66d", size = 451616, upload-time = "2025-10-14T15:06:08.072Z" }, - { url = "https://files.pythonhosted.org/packages/83/4e/b87b71cbdfad81ad7e83358b3e447fedd281b880a03d64a760fe0a11fc2e/watchfiles-1.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b", size = 458413, upload-time = "2025-10-14T15:06:09.209Z" }, + { url = "https://files.pythonhosted.org/packages/bb/f4/f750b29225fe77139f7ae5de89d4949f5a99f934c65a1f1c0b248f26f747/watchfiles-1.1.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18", size = 404321, upload-time = "2025-10-14T15:05:02.063Z" }, + { url = "https://files.pythonhosted.org/packages/2b/f9/f07a295cde762644aa4c4bb0f88921d2d141af45e735b965fb2e87858328/watchfiles-1.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5f3bde70f157f84ece3765b42b4a52c6ac1a50334903c6eaf765362f6ccca88a", size = 391783, upload-time = "2025-10-14T15:05:03.052Z" }, + { url = "https://files.pythonhosted.org/packages/bc/11/fc2502457e0bea39a5c958d86d2cb69e407a4d00b85735ca724bfa6e0d1a/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219", size = 449279, upload-time = "2025-10-14T15:05:04.004Z" }, + { url = "https://files.pythonhosted.org/packages/e3/1f/d66bc15ea0b728df3ed96a539c777acfcad0eb78555ad9efcaa1274688f0/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f27db948078f3823a6bb3b465180db8ebecf26dd5dae6f6180bd87383b6b4428", size = 459405, upload-time = "2025-10-14T15:05:04.942Z" }, + { url = "https://files.pythonhosted.org/packages/be/90/9f4a65c0aec3ccf032703e6db02d89a157462fbb2cf20dd415128251cac0/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0", size = 488976, upload-time = "2025-10-14T15:05:05.905Z" }, + { url = "https://files.pythonhosted.org/packages/37/57/ee347af605d867f712be7029bb94c8c071732a4b44792e3176fa3c612d39/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bfb5862016acc9b869bb57284e6cb35fdf8e22fe59f7548858e2f971d045f150", size = 595506, upload-time = "2025-10-14T15:05:06.906Z" }, + { url = "https://files.pythonhosted.org/packages/a8/78/cc5ab0b86c122047f75e8fc471c67a04dee395daf847d3e59381996c8707/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:319b27255aacd9923b8a276bb14d21a5f7ff82564c744235fc5eae58d95422ae", size = 474936, upload-time = "2025-10-14T15:05:07.906Z" }, + { url = "https://files.pythonhosted.org/packages/62/da/def65b170a3815af7bd40a3e7010bf6ab53089ef1b75d05dd5385b87cf08/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c755367e51db90e75b19454b680903631d41f9e3607fbd941d296a020c2d752d", size = 456147, upload-time = "2025-10-14T15:05:09.138Z" }, + { url = "https://files.pythonhosted.org/packages/57/99/da6573ba71166e82d288d4df0839128004c67d2778d3b566c138695f5c0b/watchfiles-1.1.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:c22c776292a23bfc7237a98f791b9ad3144b02116ff10d820829ce62dff46d0b", size = 630007, upload-time = "2025-10-14T15:05:10.117Z" }, + { url = "https://files.pythonhosted.org/packages/a8/51/7439c4dd39511368849eb1e53279cd3454b4a4dbace80bab88feeb83c6b5/watchfiles-1.1.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:3a476189be23c3686bc2f4321dd501cb329c0a0469e77b7b534ee10129ae6374", size = 622280, upload-time = "2025-10-14T15:05:11.146Z" }, + { url = "https://files.pythonhosted.org/packages/95/9c/8ed97d4bba5db6fdcdb2b298d3898f2dd5c20f6b73aee04eabe56c59677e/watchfiles-1.1.1-cp313-cp313-win32.whl", hash = "sha256:bf0a91bfb5574a2f7fc223cf95eeea79abfefa404bf1ea5e339c0c1560ae99a0", size = 272056, upload-time = "2025-10-14T15:05:12.156Z" }, + { url = "https://files.pythonhosted.org/packages/1f/f3/c14e28429f744a260d8ceae18bf58c1d5fa56b50d006a7a9f80e1882cb0d/watchfiles-1.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:52e06553899e11e8074503c8e716d574adeeb7e68913115c4b3653c53f9bae42", size = 288162, upload-time = "2025-10-14T15:05:13.208Z" }, + { url = "https://files.pythonhosted.org/packages/dc/61/fe0e56c40d5cd29523e398d31153218718c5786b5e636d9ae8ae79453d27/watchfiles-1.1.1-cp313-cp313-win_arm64.whl", hash = "sha256:ac3cc5759570cd02662b15fbcd9d917f7ecd47efe0d6b40474eafd246f91ea18", size = 277909, upload-time = "2025-10-14T15:05:14.49Z" }, + { url = "https://files.pythonhosted.org/packages/79/42/e0a7d749626f1e28c7108a99fb9bf524b501bbbeb9b261ceecde644d5a07/watchfiles-1.1.1-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:563b116874a9a7ce6f96f87cd0b94f7faf92d08d0021e837796f0a14318ef8da", size = 403389, upload-time = "2025-10-14T15:05:15.777Z" }, + { url = "https://files.pythonhosted.org/packages/15/49/08732f90ce0fbbc13913f9f215c689cfc9ced345fb1bcd8829a50007cc8d/watchfiles-1.1.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3ad9fe1dae4ab4212d8c91e80b832425e24f421703b5a42ef2e4a1e215aff051", size = 389964, upload-time = "2025-10-14T15:05:16.85Z" }, + { url = "https://files.pythonhosted.org/packages/27/0d/7c315d4bd5f2538910491a0393c56bf70d333d51bc5b34bee8e68e8cea19/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce70f96a46b894b36eba678f153f052967a0d06d5b5a19b336ab0dbbd029f73e", size = 448114, upload-time = "2025-10-14T15:05:17.876Z" }, + { url = "https://files.pythonhosted.org/packages/c3/24/9e096de47a4d11bc4df41e9d1e61776393eac4cb6eb11b3e23315b78b2cc/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:cb467c999c2eff23a6417e58d75e5828716f42ed8289fe6b77a7e5a91036ca70", size = 460264, upload-time = "2025-10-14T15:05:18.962Z" }, + { url = "https://files.pythonhosted.org/packages/cc/0f/e8dea6375f1d3ba5fcb0b3583e2b493e77379834c74fd5a22d66d85d6540/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:836398932192dae4146c8f6f737d74baeac8b70ce14831a239bdb1ca882fc261", size = 487877, upload-time = "2025-10-14T15:05:20.094Z" }, + { url = "https://files.pythonhosted.org/packages/ac/5b/df24cfc6424a12deb41503b64d42fbea6b8cb357ec62ca84a5a3476f654a/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:743185e7372b7bc7c389e1badcc606931a827112fbbd37f14c537320fca08620", size = 595176, upload-time = "2025-10-14T15:05:21.134Z" }, + { url = "https://files.pythonhosted.org/packages/8f/b5/853b6757f7347de4e9b37e8cc3289283fb983cba1ab4d2d7144694871d9c/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:afaeff7696e0ad9f02cbb8f56365ff4686ab205fcf9c4c5b6fdfaaa16549dd04", size = 473577, upload-time = "2025-10-14T15:05:22.306Z" }, + { url = "https://files.pythonhosted.org/packages/e1/f7/0a4467be0a56e80447c8529c9fce5b38eab4f513cb3d9bf82e7392a5696b/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3f7eb7da0eb23aa2ba036d4f616d46906013a68caf61b7fdbe42fc8b25132e77", size = 455425, upload-time = "2025-10-14T15:05:23.348Z" }, + { url = "https://files.pythonhosted.org/packages/8e/e0/82583485ea00137ddf69bc84a2db88bd92ab4a6e3c405e5fb878ead8d0e7/watchfiles-1.1.1-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:831a62658609f0e5c64178211c942ace999517f5770fe9436be4c2faeba0c0ef", size = 628826, upload-time = "2025-10-14T15:05:24.398Z" }, + { url = "https://files.pythonhosted.org/packages/28/9a/a785356fccf9fae84c0cc90570f11702ae9571036fb25932f1242c82191c/watchfiles-1.1.1-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:f9a2ae5c91cecc9edd47e041a930490c31c3afb1f5e6d71de3dc671bfaca02bf", size = 622208, upload-time = "2025-10-14T15:05:25.45Z" }, + { url = "https://files.pythonhosted.org/packages/c3/f4/0872229324ef69b2c3edec35e84bd57a1289e7d3fe74588048ed8947a323/watchfiles-1.1.1-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:d1715143123baeeaeadec0528bb7441103979a1d5f6fd0e1f915383fea7ea6d5", size = 404315, upload-time = "2025-10-14T15:05:26.501Z" }, + { url = "https://files.pythonhosted.org/packages/7b/22/16d5331eaed1cb107b873f6ae1b69e9ced582fcf0c59a50cd84f403b1c32/watchfiles-1.1.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:39574d6370c4579d7f5d0ad940ce5b20db0e4117444e39b6d8f99db5676c52fd", size = 390869, upload-time = "2025-10-14T15:05:27.649Z" }, + { url = "https://files.pythonhosted.org/packages/b2/7e/5643bfff5acb6539b18483128fdc0ef2cccc94a5b8fbda130c823e8ed636/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7365b92c2e69ee952902e8f70f3ba6360d0d596d9299d55d7d386df84b6941fb", size = 449919, upload-time = "2025-10-14T15:05:28.701Z" }, + { url = "https://files.pythonhosted.org/packages/51/2e/c410993ba5025a9f9357c376f48976ef0e1b1aefb73b97a5ae01a5972755/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bfff9740c69c0e4ed32416f013f3c45e2ae42ccedd1167ef2d805c000b6c71a5", size = 460845, upload-time = "2025-10-14T15:05:30.064Z" }, + { url = "https://files.pythonhosted.org/packages/8e/a4/2df3b404469122e8680f0fcd06079317e48db58a2da2950fb45020947734/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b27cf2eb1dda37b2089e3907d8ea92922b673c0c427886d4edc6b94d8dfe5db3", size = 489027, upload-time = "2025-10-14T15:05:31.064Z" }, + { url = "https://files.pythonhosted.org/packages/ea/84/4587ba5b1f267167ee715b7f66e6382cca6938e0a4b870adad93e44747e6/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:526e86aced14a65a5b0ec50827c745597c782ff46b571dbfe46192ab9e0b3c33", size = 595615, upload-time = "2025-10-14T15:05:32.074Z" }, + { url = "https://files.pythonhosted.org/packages/6a/0f/c6988c91d06e93cd0bb3d4a808bcf32375ca1904609835c3031799e3ecae/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510", size = 474836, upload-time = "2025-10-14T15:05:33.209Z" }, + { url = "https://files.pythonhosted.org/packages/b4/36/ded8aebea91919485b7bbabbd14f5f359326cb5ec218cd67074d1e426d74/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c85794a4cfa094714fb9c08d4a218375b2b95b8ed1666e8677c349906246c05", size = 455099, upload-time = "2025-10-14T15:05:34.189Z" }, + { url = "https://files.pythonhosted.org/packages/98/e0/8c9bdba88af756a2fce230dd365fab2baf927ba42cd47521ee7498fd5211/watchfiles-1.1.1-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:74d5012b7630714b66be7b7b7a78855ef7ad58e8650c73afc4c076a1f480a8d6", size = 630626, upload-time = "2025-10-14T15:05:35.216Z" }, + { url = "https://files.pythonhosted.org/packages/2a/84/a95db05354bf2d19e438520d92a8ca475e578c647f78f53197f5a2f17aaf/watchfiles-1.1.1-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:8fbe85cb3201c7d380d3d0b90e63d520f15d6afe217165d7f98c9c649654db81", size = 622519, upload-time = "2025-10-14T15:05:36.259Z" }, + { url = "https://files.pythonhosted.org/packages/1d/ce/d8acdc8de545de995c339be67711e474c77d643555a9bb74a9334252bd55/watchfiles-1.1.1-cp314-cp314-win32.whl", hash = "sha256:3fa0b59c92278b5a7800d3ee7733da9d096d4aabcfabb9a928918bd276ef9b9b", size = 272078, upload-time = "2025-10-14T15:05:37.63Z" }, + { url = "https://files.pythonhosted.org/packages/c4/c9/a74487f72d0451524be827e8edec251da0cc1fcf111646a511ae752e1a3d/watchfiles-1.1.1-cp314-cp314-win_amd64.whl", hash = "sha256:c2047d0b6cea13b3316bdbafbfa0c4228ae593d995030fda39089d36e64fc03a", size = 287664, upload-time = "2025-10-14T15:05:38.95Z" }, + { url = "https://files.pythonhosted.org/packages/df/b8/8ac000702cdd496cdce998c6f4ee0ca1f15977bba51bdf07d872ebdfc34c/watchfiles-1.1.1-cp314-cp314-win_arm64.whl", hash = "sha256:842178b126593addc05acf6fce960d28bc5fae7afbaa2c6c1b3a7b9460e5be02", size = 277154, upload-time = "2025-10-14T15:05:39.954Z" }, + { url = "https://files.pythonhosted.org/packages/47/a8/e3af2184707c29f0f14b1963c0aace6529f9d1b8582d5b99f31bbf42f59e/watchfiles-1.1.1-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:88863fbbc1a7312972f1c511f202eb30866370ebb8493aef2812b9ff28156a21", size = 403820, upload-time = "2025-10-14T15:05:40.932Z" }, + { url = "https://files.pythonhosted.org/packages/c0/ec/e47e307c2f4bd75f9f9e8afbe3876679b18e1bcec449beca132a1c5ffb2d/watchfiles-1.1.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:55c7475190662e202c08c6c0f4d9e345a29367438cf8e8037f3155e10a88d5a5", size = 390510, upload-time = "2025-10-14T15:05:41.945Z" }, + { url = "https://files.pythonhosted.org/packages/d5/a0/ad235642118090f66e7b2f18fd5c42082418404a79205cdfca50b6309c13/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f53fa183d53a1d7a8852277c92b967ae99c2d4dcee2bfacff8868e6e30b15f7", size = 448408, upload-time = "2025-10-14T15:05:43.385Z" }, + { url = "https://files.pythonhosted.org/packages/df/85/97fa10fd5ff3332ae17e7e40e20784e419e28521549780869f1413742e9d/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6aae418a8b323732fa89721d86f39ec8f092fc2af67f4217a2b07fd3e93c6101", size = 458968, upload-time = "2025-10-14T15:05:44.404Z" }, + { url = "https://files.pythonhosted.org/packages/47/c2/9059c2e8966ea5ce678166617a7f75ecba6164375f3b288e50a40dc6d489/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f096076119da54a6080e8920cbdaac3dbee667eb91dcc5e5b78840b87415bd44", size = 488096, upload-time = "2025-10-14T15:05:45.398Z" }, + { url = "https://files.pythonhosted.org/packages/94/44/d90a9ec8ac309bc26db808a13e7bfc0e4e78b6fc051078a554e132e80160/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c", size = 596040, upload-time = "2025-10-14T15:05:46.502Z" }, + { url = "https://files.pythonhosted.org/packages/95/68/4e3479b20ca305cfc561db3ed207a8a1c745ee32bf24f2026a129d0ddb6e/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a55f3e9e493158d7bfdb60a1165035f1cf7d320914e7b7ea83fe22c6023b58fc", size = 473847, upload-time = "2025-10-14T15:05:47.484Z" }, + { url = "https://files.pythonhosted.org/packages/4f/55/2af26693fd15165c4ff7857e38330e1b61ab8c37d15dc79118cdba115b7a/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c91ed27800188c2ae96d16e3149f199d62f86c7af5f5f4d2c61a3ed8cd3666c", size = 455072, upload-time = "2025-10-14T15:05:48.928Z" }, + { url = "https://files.pythonhosted.org/packages/66/1d/d0d200b10c9311ec25d2273f8aad8c3ef7cc7ea11808022501811208a750/watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099", size = 629104, upload-time = "2025-10-14T15:05:49.908Z" }, + { url = "https://files.pythonhosted.org/packages/e3/bd/fa9bb053192491b3867ba07d2343d9f2252e00811567d30ae8d0f78136fe/watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:a916a2932da8f8ab582f242c065f5c81bed3462849ca79ee357dd9551b0e9b01", size = 622112, upload-time = "2025-10-14T15:05:50.941Z" }, { url = "https://files.pythonhosted.org/packages/d3/8e/e500f8b0b77be4ff753ac94dc06b33d8f0d839377fee1b78e8c8d8f031bf/watchfiles-1.1.1-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:db476ab59b6765134de1d4fe96a1a9c96ddf091683599be0f26147ea1b2e4b88", size = 408250, upload-time = "2025-10-14T15:06:10.264Z" }, { url = "https://files.pythonhosted.org/packages/bd/95/615e72cd27b85b61eec764a5ca51bd94d40b5adea5ff47567d9ebc4d275a/watchfiles-1.1.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:89eef07eee5e9d1fda06e38822ad167a044153457e6fd997f8a858ab7564a336", size = 396117, upload-time = "2025-10-14T15:06:11.28Z" }, { url = "https://files.pythonhosted.org/packages/c9/81/e7fe958ce8a7fb5c73cc9fb07f5aeaf755e6aa72498c57d760af760c91f8/watchfiles-1.1.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce19e06cbda693e9e7686358af9cd6f5d61312ab8b00488bc36f5aabbaf77e24", size = 450493, upload-time = "2025-10-14T15:06:12.321Z" }, @@ -2636,15 +2910,6 @@ version = "16.0" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/04/24/4b2031d72e840ce4c1ccb255f693b15c334757fc50023e4db9537080b8c4/websockets-16.0.tar.gz", hash = "sha256:5f6261a5e56e8d5c42a4497b364ea24d94d9563e8fbd44e78ac40879c60179b5", size = 179346, upload-time = "2026-01-10T09:23:47.181Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/20/74/221f58decd852f4b59cc3354cccaf87e8ef695fede361d03dc9a7396573b/websockets-16.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:04cdd5d2d1dacbad0a7bf36ccbcd3ccd5a30ee188f2560b7a62a30d14107b31a", size = 177343, upload-time = "2026-01-10T09:22:21.28Z" }, - { url = "https://files.pythonhosted.org/packages/19/0f/22ef6107ee52ab7f0b710d55d36f5a5d3ef19e8a205541a6d7ffa7994e5a/websockets-16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8ff32bb86522a9e5e31439a58addbb0166f0204d64066fb955265c4e214160f0", size = 175021, upload-time = "2026-01-10T09:22:22.696Z" }, - { url = "https://files.pythonhosted.org/packages/10/40/904a4cb30d9b61c0e278899bf36342e9b0208eb3c470324a9ecbaac2a30f/websockets-16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:583b7c42688636f930688d712885cf1531326ee05effd982028212ccc13e5957", size = 175320, upload-time = "2026-01-10T09:22:23.94Z" }, - { url = "https://files.pythonhosted.org/packages/9d/2f/4b3ca7e106bc608744b1cdae041e005e446124bebb037b18799c2d356864/websockets-16.0-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:7d837379b647c0c4c2355c2499723f82f1635fd2c26510e1f587d89bc2199e72", size = 183815, upload-time = "2026-01-10T09:22:25.469Z" }, - { url = "https://files.pythonhosted.org/packages/86/26/d40eaa2a46d4302becec8d15b0fc5e45bdde05191e7628405a19cf491ccd/websockets-16.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:df57afc692e517a85e65b72e165356ed1df12386ecb879ad5693be08fac65dde", size = 185054, upload-time = "2026-01-10T09:22:27.101Z" }, - { url = "https://files.pythonhosted.org/packages/b0/ba/6500a0efc94f7373ee8fefa8c271acdfd4dca8bd49a90d4be7ccabfc397e/websockets-16.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:2b9f1e0d69bc60a4a87349d50c09a037a2607918746f07de04df9e43252c77a3", size = 184565, upload-time = "2026-01-10T09:22:28.293Z" }, - { url = "https://files.pythonhosted.org/packages/04/b4/96bf2cee7c8d8102389374a2616200574f5f01128d1082f44102140344cc/websockets-16.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:335c23addf3d5e6a8633f9f8eda77efad001671e80b95c491dd0924587ece0b3", size = 183848, upload-time = "2026-01-10T09:22:30.394Z" }, - { url = "https://files.pythonhosted.org/packages/02/8e/81f40fb00fd125357814e8c3025738fc4ffc3da4b6b4a4472a82ba304b41/websockets-16.0-cp310-cp310-win32.whl", hash = "sha256:37b31c1623c6605e4c00d466c9d633f9b812ea430c11c8a278774a1fde1acfa9", size = 178249, upload-time = "2026-01-10T09:22:32.083Z" }, - { url = "https://files.pythonhosted.org/packages/b4/5f/7e40efe8df57db9b91c88a43690ac66f7b7aa73a11aa6a66b927e44f26fa/websockets-16.0-cp310-cp310-win_amd64.whl", hash = "sha256:8e1dab317b6e77424356e11e99a432b7cb2f3ec8c5ab4dabbcee6add48f72b35", size = 178685, upload-time = "2026-01-10T09:22:33.345Z" }, { url = "https://files.pythonhosted.org/packages/f2/db/de907251b4ff46ae804ad0409809504153b3f30984daf82a1d84a9875830/websockets-16.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:31a52addea25187bde0797a97d6fc3d2f92b6f72a9370792d65a6e84615ac8a8", size = 177340, upload-time = "2026-01-10T09:22:34.539Z" }, { url = "https://files.pythonhosted.org/packages/f3/fa/abe89019d8d8815c8781e90d697dec52523fb8ebe308bf11664e8de1877e/websockets-16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:417b28978cdccab24f46400586d128366313e8a96312e4b9362a4af504f3bbad", size = 175022, upload-time = "2026-01-10T09:22:36.332Z" }, { url = "https://files.pythonhosted.org/packages/58/5d/88ea17ed1ded2079358b40d31d48abe90a73c9e5819dbcde1606e991e2ad/websockets-16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:af80d74d4edfa3cb9ed973a0a5ba2b2a549371f8a741e0800cb07becdd20f23d", size = 175319, upload-time = "2026-01-10T09:22:37.602Z" }, @@ -2663,6 +2928,33 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/47/88/4dd516068e1a3d6ab3c7c183288404cd424a9a02d585efbac226cb61ff2d/websockets-16.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:485c49116d0af10ac698623c513c1cc01c9446c058a4e61e3bf6c19dff7335a2", size = 184880, upload-time = "2026-01-10T09:22:55.033Z" }, { url = "https://files.pythonhosted.org/packages/91/d6/7d4553ad4bf1c0421e1ebd4b18de5d9098383b5caa1d937b63df8d04b565/websockets-16.0-cp312-cp312-win32.whl", hash = "sha256:eaded469f5e5b7294e2bdca0ab06becb6756ea86894a47806456089298813c89", size = 178261, upload-time = "2026-01-10T09:22:56.251Z" }, { url = "https://files.pythonhosted.org/packages/c3/f0/f3a17365441ed1c27f850a80b2bc680a0fa9505d733fe152fdf5e98c1c0b/websockets-16.0-cp312-cp312-win_amd64.whl", hash = "sha256:5569417dc80977fc8c2d43a86f78e0a5a22fee17565d78621b6bb264a115d4ea", size = 178693, upload-time = "2026-01-10T09:22:57.478Z" }, + { url = "https://files.pythonhosted.org/packages/cc/9c/baa8456050d1c1b08dd0ec7346026668cbc6f145ab4e314d707bb845bf0d/websockets-16.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:878b336ac47938b474c8f982ac2f7266a540adc3fa4ad74ae96fea9823a02cc9", size = 177364, upload-time = "2026-01-10T09:22:59.333Z" }, + { url = "https://files.pythonhosted.org/packages/7e/0c/8811fc53e9bcff68fe7de2bcbe75116a8d959ac699a3200f4847a8925210/websockets-16.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:52a0fec0e6c8d9a784c2c78276a48a2bdf099e4ccc2a4cad53b27718dbfd0230", size = 175039, upload-time = "2026-01-10T09:23:01.171Z" }, + { url = "https://files.pythonhosted.org/packages/aa/82/39a5f910cb99ec0b59e482971238c845af9220d3ab9fa76dd9162cda9d62/websockets-16.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e6578ed5b6981005df1860a56e3617f14a6c307e6a71b4fff8c48fdc50f3ed2c", size = 175323, upload-time = "2026-01-10T09:23:02.341Z" }, + { url = "https://files.pythonhosted.org/packages/bd/28/0a25ee5342eb5d5f297d992a77e56892ecb65e7854c7898fb7d35e9b33bd/websockets-16.0-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:95724e638f0f9c350bb1c2b0a7ad0e83d9cc0c9259f3ea94e40d7b02a2179ae5", size = 184975, upload-time = "2026-01-10T09:23:03.756Z" }, + { url = "https://files.pythonhosted.org/packages/f9/66/27ea52741752f5107c2e41fda05e8395a682a1e11c4e592a809a90c6a506/websockets-16.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c0204dc62a89dc9d50d682412c10b3542d748260d743500a85c13cd1ee4bde82", size = 186203, upload-time = "2026-01-10T09:23:05.01Z" }, + { url = "https://files.pythonhosted.org/packages/37/e5/8e32857371406a757816a2b471939d51c463509be73fa538216ea52b792a/websockets-16.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:52ac480f44d32970d66763115edea932f1c5b1312de36df06d6b219f6741eed8", size = 185653, upload-time = "2026-01-10T09:23:06.301Z" }, + { url = "https://files.pythonhosted.org/packages/9b/67/f926bac29882894669368dc73f4da900fcdf47955d0a0185d60103df5737/websockets-16.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6e5a82b677f8f6f59e8dfc34ec06ca6b5b48bc4fcda346acd093694cc2c24d8f", size = 184920, upload-time = "2026-01-10T09:23:07.492Z" }, + { url = "https://files.pythonhosted.org/packages/3c/a1/3d6ccdcd125b0a42a311bcd15a7f705d688f73b2a22d8cf1c0875d35d34a/websockets-16.0-cp313-cp313-win32.whl", hash = "sha256:abf050a199613f64c886ea10f38b47770a65154dc37181bfaff70c160f45315a", size = 178255, upload-time = "2026-01-10T09:23:09.245Z" }, + { url = "https://files.pythonhosted.org/packages/6b/ae/90366304d7c2ce80f9b826096a9e9048b4bb760e44d3b873bb272cba696b/websockets-16.0-cp313-cp313-win_amd64.whl", hash = "sha256:3425ac5cf448801335d6fdc7ae1eb22072055417a96cc6b31b3861f455fbc156", size = 178689, upload-time = "2026-01-10T09:23:10.483Z" }, + { url = "https://files.pythonhosted.org/packages/f3/1d/e88022630271f5bd349ed82417136281931e558d628dd52c4d8621b4a0b2/websockets-16.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:8cc451a50f2aee53042ac52d2d053d08bf89bcb31ae799cb4487587661c038a0", size = 177406, upload-time = "2026-01-10T09:23:12.178Z" }, + { url = "https://files.pythonhosted.org/packages/f2/78/e63be1bf0724eeb4616efb1ae1c9044f7c3953b7957799abb5915bffd38e/websockets-16.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:daa3b6ff70a9241cf6c7fc9e949d41232d9d7d26fd3522b1ad2b4d62487e9904", size = 175085, upload-time = "2026-01-10T09:23:13.511Z" }, + { url = "https://files.pythonhosted.org/packages/bb/f4/d3c9220d818ee955ae390cf319a7c7a467beceb24f05ee7aaaa2414345ba/websockets-16.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:fd3cb4adb94a2a6e2b7c0d8d05cb94e6f1c81a0cf9dc2694fb65c7e8d94c42e4", size = 175328, upload-time = "2026-01-10T09:23:14.727Z" }, + { url = "https://files.pythonhosted.org/packages/63/bc/d3e208028de777087e6fb2b122051a6ff7bbcca0d6df9d9c2bf1dd869ae9/websockets-16.0-cp314-cp314-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:781caf5e8eee67f663126490c2f96f40906594cb86b408a703630f95550a8c3e", size = 185044, upload-time = "2026-01-10T09:23:15.939Z" }, + { url = "https://files.pythonhosted.org/packages/ad/6e/9a0927ac24bd33a0a9af834d89e0abc7cfd8e13bed17a86407a66773cc0e/websockets-16.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:caab51a72c51973ca21fa8a18bd8165e1a0183f1ac7066a182ff27107b71e1a4", size = 186279, upload-time = "2026-01-10T09:23:17.148Z" }, + { url = "https://files.pythonhosted.org/packages/b9/ca/bf1c68440d7a868180e11be653c85959502efd3a709323230314fda6e0b3/websockets-16.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:19c4dc84098e523fd63711e563077d39e90ec6702aff4b5d9e344a60cb3c0cb1", size = 185711, upload-time = "2026-01-10T09:23:18.372Z" }, + { url = "https://files.pythonhosted.org/packages/c4/f8/fdc34643a989561f217bb477cbc47a3a07212cbda91c0e4389c43c296ebf/websockets-16.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:a5e18a238a2b2249c9a9235466b90e96ae4795672598a58772dd806edc7ac6d3", size = 184982, upload-time = "2026-01-10T09:23:19.652Z" }, + { url = "https://files.pythonhosted.org/packages/dd/d1/574fa27e233764dbac9c52730d63fcf2823b16f0856b3329fc6268d6ae4f/websockets-16.0-cp314-cp314-win32.whl", hash = "sha256:a069d734c4a043182729edd3e9f247c3b2a4035415a9172fd0f1b71658a320a8", size = 177915, upload-time = "2026-01-10T09:23:21.458Z" }, + { url = "https://files.pythonhosted.org/packages/8a/f1/ae6b937bf3126b5134ce1f482365fde31a357c784ac51852978768b5eff4/websockets-16.0-cp314-cp314-win_amd64.whl", hash = "sha256:c0ee0e63f23914732c6d7e0cce24915c48f3f1512ec1d079ed01fc629dab269d", size = 178381, upload-time = "2026-01-10T09:23:22.715Z" }, + { url = "https://files.pythonhosted.org/packages/06/9b/f791d1db48403e1f0a27577a6beb37afae94254a8c6f08be4a23e4930bc0/websockets-16.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:a35539cacc3febb22b8f4d4a99cc79b104226a756aa7400adc722e83b0d03244", size = 177737, upload-time = "2026-01-10T09:23:24.523Z" }, + { url = "https://files.pythonhosted.org/packages/bd/40/53ad02341fa33b3ce489023f635367a4ac98b73570102ad2cdd770dacc9a/websockets-16.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:b784ca5de850f4ce93ec85d3269d24d4c82f22b7212023c974c401d4980ebc5e", size = 175268, upload-time = "2026-01-10T09:23:25.781Z" }, + { url = "https://files.pythonhosted.org/packages/74/9b/6158d4e459b984f949dcbbb0c5d270154c7618e11c01029b9bbd1bb4c4f9/websockets-16.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:569d01a4e7fba956c5ae4fc988f0d4e187900f5497ce46339c996dbf24f17641", size = 175486, upload-time = "2026-01-10T09:23:27.033Z" }, + { url = "https://files.pythonhosted.org/packages/e5/2d/7583b30208b639c8090206f95073646c2c9ffd66f44df967981a64f849ad/websockets-16.0-cp314-cp314t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:50f23cdd8343b984957e4077839841146f67a3d31ab0d00e6b824e74c5b2f6e8", size = 185331, upload-time = "2026-01-10T09:23:28.259Z" }, + { url = "https://files.pythonhosted.org/packages/45/b0/cce3784eb519b7b5ad680d14b9673a31ab8dcb7aad8b64d81709d2430aa8/websockets-16.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:152284a83a00c59b759697b7f9e9cddf4e3c7861dd0d964b472b70f78f89e80e", size = 186501, upload-time = "2026-01-10T09:23:29.449Z" }, + { url = "https://files.pythonhosted.org/packages/19/60/b8ebe4c7e89fb5f6cdf080623c9d92789a53636950f7abacfc33fe2b3135/websockets-16.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:bc59589ab64b0022385f429b94697348a6a234e8ce22544e3681b2e9331b5944", size = 186062, upload-time = "2026-01-10T09:23:31.368Z" }, + { url = "https://files.pythonhosted.org/packages/88/a8/a080593f89b0138b6cba1b28f8df5673b5506f72879322288b031337c0b8/websockets-16.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:32da954ffa2814258030e5a57bc73a3635463238e797c7375dc8091327434206", size = 185356, upload-time = "2026-01-10T09:23:32.627Z" }, + { url = "https://files.pythonhosted.org/packages/c2/b6/b9afed2afadddaf5ebb2afa801abf4b0868f42f8539bfe4b071b5266c9fe/websockets-16.0-cp314-cp314t-win32.whl", hash = "sha256:5a4b4cc550cb665dd8a47f868c8d04c8230f857363ad3c9caf7a0c3bf8c61ca6", size = 178085, upload-time = "2026-01-10T09:23:33.816Z" }, + { url = "https://files.pythonhosted.org/packages/9f/3e/28135a24e384493fa804216b79a6a6759a38cc4ff59118787b9fb693df93/websockets-16.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b14dc141ed6d2dde437cddb216004bcac6a1df0935d79656387bd41632ba0bbd", size = 178531, upload-time = "2026-01-10T09:23:35.016Z" }, { url = "https://files.pythonhosted.org/packages/72/07/c98a68571dcf256e74f1f816b8cc5eae6eb2d3d5cfa44d37f801619d9166/websockets-16.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:349f83cd6c9a415428ee1005cadb5c2c56f4389bc06a9af16103c3bc3dcc8b7d", size = 174947, upload-time = "2026-01-10T09:23:36.166Z" }, { url = "https://files.pythonhosted.org/packages/7e/52/93e166a81e0305b33fe416338be92ae863563fe7bce446b0f687b9df5aea/websockets-16.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:4a1aba3340a8dca8db6eb5a7986157f52eb9e436b74813764241981ca4888f03", size = 175260, upload-time = "2026-01-10T09:23:37.409Z" }, { url = "https://files.pythonhosted.org/packages/56/0c/2dbf513bafd24889d33de2ff0368190a0e69f37bcfa19009ef819fe4d507/websockets-16.0-pp311-pypy311_pp73-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:f4a32d1bd841d4bcbffdcb3d2ce50c09c3909fbead375ab28d0181af89fd04da", size = 176071, upload-time = "2026-01-10T09:23:39.158Z" }, @@ -2673,103 +2965,104 @@ wheels = [ [[package]] name = "wrapt" -version = "2.1.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/f7/37/ae31f40bec90de2f88d9597d0b5281e23ffe85b893a47ca5d9c05c63a4f6/wrapt-2.1.1.tar.gz", hash = "sha256:5fdcb09bf6db023d88f312bd0767594b414655d58090fc1c46b3414415f67fac", size = 81329, upload-time = "2026-02-03T02:12:13.786Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ca/21/293b657a27accfbbbb6007ebd78af0efa2083dac83e8f523272ea09b4638/wrapt-2.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7e927375e43fd5a985b27a8992327c22541b6dede1362fc79df337d26e23604f", size = 60554, upload-time = "2026-02-03T02:11:17.362Z" }, - { url = "https://files.pythonhosted.org/packages/25/e9/96dd77728b54a899d4ce2798d7b1296989ce687ed3c0cb917d6b3154bf5d/wrapt-2.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c99544b6a7d40ca22195563b6d8bc3986ee8bb82f272f31f0670fe9440c869", size = 61496, upload-time = "2026-02-03T02:12:54.732Z" }, - { url = "https://files.pythonhosted.org/packages/44/79/4c755b45df6ef30c0dd628ecfaa0c808854be147ca438429da70a162833c/wrapt-2.1.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:b2be3fa5f4efaf16ee7c77d0556abca35f5a18ad4ac06f0ef3904c3399010ce9", size = 113528, upload-time = "2026-02-03T02:12:26.405Z" }, - { url = "https://files.pythonhosted.org/packages/9f/63/23ce28f7b841217d9a6337a340fbb8d4a7fbd67a89d47f377c8550fa34aa/wrapt-2.1.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:67c90c1ae6489a6cb1a82058902caa8006706f7b4e8ff766f943e9d2c8e608d0", size = 115536, upload-time = "2026-02-03T02:11:54.397Z" }, - { url = "https://files.pythonhosted.org/packages/23/7b/5ca8d3b12768670d16c8329e29960eedd56212770365a02a8de8bf73dc01/wrapt-2.1.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:05c0db35ccffd7480143e62df1e829d101c7b86944ae3be7e4869a7efa621f53", size = 114716, upload-time = "2026-02-03T02:12:20.771Z" }, - { url = "https://files.pythonhosted.org/packages/c7/3a/9789ccb14a096d30bb847bf3ee137bf682cc9750c2ce155f4c5ae1962abf/wrapt-2.1.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0c2ec9f616755b2e1e0bf4d0961f59bb5c2e7a77407e7e2c38ef4f7d2fdde12c", size = 113200, upload-time = "2026-02-03T02:12:07.688Z" }, - { url = "https://files.pythonhosted.org/packages/cf/e5/4ec3526ce6ce920b267c8d35d2c2f0874d3fad2744c8b7259353f1132baa/wrapt-2.1.1-cp310-cp310-win32.whl", hash = "sha256:203ba6b3f89e410e27dbd30ff7dccaf54dcf30fda0b22aa1b82d560c7f9fe9a1", size = 57876, upload-time = "2026-02-03T02:11:42.61Z" }, - { url = "https://files.pythonhosted.org/packages/d1/4e/661c7c76ecd85375b2bc03488941a3a1078642af481db24949e2b9de01f4/wrapt-2.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:6f9426d9cfc2f8732922fc96198052e55c09bb9db3ddaa4323a18e055807410e", size = 60224, upload-time = "2026-02-03T02:11:19.096Z" }, - { url = "https://files.pythonhosted.org/packages/5f/b7/53c7252d371efada4cb119e72e774fa2c6b3011fc33e3e552cdf48fb9488/wrapt-2.1.1-cp310-cp310-win_arm64.whl", hash = "sha256:69c26f51b67076b40714cff81bdd5826c0b10c077fb6b0678393a6a2f952a5fc", size = 58645, upload-time = "2026-02-03T02:12:10.396Z" }, - { url = "https://files.pythonhosted.org/packages/b8/a8/9254e4da74b30a105935197015b18b31b7a298bf046e67d8952ef74967bd/wrapt-2.1.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6c366434a7fb914c7a5de508ed735ef9c133367114e1a7cb91dfb5cd806a1549", size = 60554, upload-time = "2026-02-03T02:11:13.038Z" }, - { url = "https://files.pythonhosted.org/packages/9e/a1/378579880cc7af226354054a2c255f69615b379d8adad482bfe2f22a0dc2/wrapt-2.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5d6a2068bd2e1e19e5a317c8c0b288267eec4e7347c36bc68a6e378a39f19ee7", size = 61491, upload-time = "2026-02-03T02:12:56.077Z" }, - { url = "https://files.pythonhosted.org/packages/dc/72/957b51c56acca35701665878ad31626182199fc4afecfe67dea072210f95/wrapt-2.1.1-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:891ab4713419217b2aed7dd106c9200f64e6a82226775a0d2ebd6bef2ebd1747", size = 113949, upload-time = "2026-02-03T02:11:04.516Z" }, - { url = "https://files.pythonhosted.org/packages/cd/74/36bbebb4a3d2ae9c3e6929639721f8606cd0710a82a777c371aa69e36504/wrapt-2.1.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c8ef36a0df38d2dc9d907f6617f89e113c5892e0a35f58f45f75901af0ce7d81", size = 115989, upload-time = "2026-02-03T02:12:19.398Z" }, - { url = "https://files.pythonhosted.org/packages/ae/0d/f1177245a083c7be284bc90bddfe5aece32cdd5b858049cb69ce001a0e8d/wrapt-2.1.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:76e9af3ebd86f19973143d4d592cbf3e970cf3f66ddee30b16278c26ae34b8ab", size = 115242, upload-time = "2026-02-03T02:11:08.111Z" }, - { url = "https://files.pythonhosted.org/packages/62/3e/3b7cf5da27e59df61b1eae2d07dd03ff5d6f75b5408d694873cca7a8e33c/wrapt-2.1.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ff562067485ebdeaef2fa3fe9b1876bc4e7b73762e0a01406ad81e2076edcebf", size = 113676, upload-time = "2026-02-03T02:12:41.026Z" }, - { url = "https://files.pythonhosted.org/packages/f7/65/8248d3912c705f2c66f81cb97c77436f37abcbedb16d633b5ab0d795d8cd/wrapt-2.1.1-cp311-cp311-win32.whl", hash = "sha256:9e60a30aa0909435ec4ea2a3c53e8e1b50ac9f640c0e9fe3f21fd248a22f06c5", size = 57863, upload-time = "2026-02-03T02:12:18.112Z" }, - { url = "https://files.pythonhosted.org/packages/6b/31/d29310ab335f71f00c50466153b3dc985aaf4a9fc03263e543e136859541/wrapt-2.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:7d79954f51fcf84e5ec4878ab4aea32610d70145c5bbc84b3370eabfb1e096c2", size = 60224, upload-time = "2026-02-03T02:12:29.289Z" }, - { url = "https://files.pythonhosted.org/packages/0c/90/a6ec319affa6e2894962a0cb9d73c67f88af1a726d15314bfb5c88b8a08d/wrapt-2.1.1-cp311-cp311-win_arm64.whl", hash = "sha256:d3ffc6b0efe79e08fd947605fd598515aebefe45e50432dc3b5cd437df8b1ada", size = 58643, upload-time = "2026-02-03T02:12:43.022Z" }, - { url = "https://files.pythonhosted.org/packages/df/cb/4d5255d19bbd12be7f8ee2c1fb4269dddec9cef777ef17174d357468efaa/wrapt-2.1.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ab8e3793b239db021a18782a5823fcdea63b9fe75d0e340957f5828ef55fcc02", size = 61143, upload-time = "2026-02-03T02:11:46.313Z" }, - { url = "https://files.pythonhosted.org/packages/6f/07/7ed02daa35542023464e3c8b7cb937fa61f6c61c0361ecf8f5fecf8ad8da/wrapt-2.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7c0300007836373d1c2df105b40777986accb738053a92fe09b615a7a4547e9f", size = 61740, upload-time = "2026-02-03T02:12:51.966Z" }, - { url = "https://files.pythonhosted.org/packages/c4/60/a237a4e4a36f6d966061ccc9b017627d448161b19e0a3ab80a7c7c97f859/wrapt-2.1.1-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:2b27c070fd1132ab23957bcd4ee3ba707a91e653a9268dc1afbd39b77b2799f7", size = 121327, upload-time = "2026-02-03T02:11:06.796Z" }, - { url = "https://files.pythonhosted.org/packages/ae/fe/9139058a3daa8818fc67e6460a2340e8bbcf3aef8b15d0301338bbe181ca/wrapt-2.1.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8b0e36d845e8b6f50949b6b65fc6cd279f47a1944582ed4ec8258cd136d89a64", size = 122903, upload-time = "2026-02-03T02:12:48.657Z" }, - { url = "https://files.pythonhosted.org/packages/91/10/b8479202b4164649675846a531763531f0a6608339558b5a0a718fc49a8d/wrapt-2.1.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4aeea04a9889370fcfb1ef828c4cc583f36a875061505cd6cd9ba24d8b43cc36", size = 121333, upload-time = "2026-02-03T02:11:32.148Z" }, - { url = "https://files.pythonhosted.org/packages/5f/75/75fc793b791d79444aca2c03ccde64e8b99eda321b003f267d570b7b0985/wrapt-2.1.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d88b46bb0dce9f74b6817bc1758ff2125e1ca9e1377d62ea35b6896142ab6825", size = 120458, upload-time = "2026-02-03T02:11:16.039Z" }, - { url = "https://files.pythonhosted.org/packages/d7/8f/c3f30d511082ca6d947c405f9d8f6c8eaf83cfde527c439ec2c9a30eb5ea/wrapt-2.1.1-cp312-cp312-win32.whl", hash = "sha256:63decff76ca685b5c557082dfbea865f3f5f6d45766a89bff8dc61d336348833", size = 58086, upload-time = "2026-02-03T02:12:35.041Z" }, - { url = "https://files.pythonhosted.org/packages/0a/c8/37625b643eea2849f10c3b90f69c7462faa4134448d4443234adaf122ae5/wrapt-2.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:b828235d26c1e35aca4107039802ae4b1411be0fe0367dd5b7e4d90e562fcbcd", size = 60328, upload-time = "2026-02-03T02:12:45.808Z" }, - { url = "https://files.pythonhosted.org/packages/ce/79/56242f07572d5682ba8065a9d4d9c2218313f576e3c3471873c2a5355ffd/wrapt-2.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:75128507413a9f1bcbe2db88fd18fbdbf80f264b82fa33a6996cdeaf01c52352", size = 58722, upload-time = "2026-02-03T02:12:27.949Z" }, - { url = "https://files.pythonhosted.org/packages/c4/da/5a086bf4c22a41995312db104ec2ffeee2cf6accca9faaee5315c790377d/wrapt-2.1.1-py3-none-any.whl", hash = "sha256:3b0f4629eb954394a3d7c7a1c8cca25f0b07cefe6aa8545e862e9778152de5b7", size = 43886, upload-time = "2026-02-03T02:11:45.048Z" }, -] - -[[package]] -name = "xarray" -version = "2025.6.1" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11'", -] -dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "packaging", marker = "python_full_version < '3.11'" }, - { name = "pandas", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/19/ec/e50d833518f10b0c24feb184b209bb6856f25b919ba8c1f89678b930b1cd/xarray-2025.6.1.tar.gz", hash = "sha256:a84f3f07544634a130d7dc615ae44175419f4c77957a7255161ed99c69c7c8b0", size = 3003185, upload-time = "2025-06-12T03:04:09.099Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/82/8a/6b50c1dd2260d407c1a499d47cf829f59f07007e0dcebafdabb24d1d26a5/xarray-2025.6.1-py3-none-any.whl", hash = "sha256:8b988b47f67a383bdc3b04c5db475cd165e580134c1f1943d52aee4a9c97651b", size = 1314739, upload-time = "2025-06-12T03:04:06.708Z" }, +version = "2.1.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/2e/64/925f213fdcbb9baeb1530449ac71a4d57fc361c053d06bf78d0c5c7cd80c/wrapt-2.1.2.tar.gz", hash = "sha256:3996a67eecc2c68fd47b4e3c564405a5777367adfd9b8abb58387b63ee83b21e", size = 81678, upload-time = "2026-03-06T02:53:25.134Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c7/81/60c4471fce95afa5922ca09b88a25f03c93343f759aae0f31fb4412a85c7/wrapt-2.1.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:96159a0ee2b0277d44201c3b5be479a9979cf154e8c82fa5df49586a8e7679bb", size = 60666, upload-time = "2026-03-06T02:52:58.934Z" }, + { url = "https://files.pythonhosted.org/packages/6b/be/80e80e39e7cb90b006a0eaf11c73ac3a62bbfb3068469aec15cc0bc795de/wrapt-2.1.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:98ba61833a77b747901e9012072f038795de7fc77849f1faa965464f3f87ff2d", size = 61601, upload-time = "2026-03-06T02:53:00.487Z" }, + { url = "https://files.pythonhosted.org/packages/b0/be/d7c88cd9293c859fc74b232abdc65a229bb953997995d6912fc85af18323/wrapt-2.1.2-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:767c0dbbe76cae2a60dd2b235ac0c87c9cccf4898aef8062e57bead46b5f6894", size = 114057, upload-time = "2026-03-06T02:52:44.08Z" }, + { url = "https://files.pythonhosted.org/packages/ea/25/36c04602831a4d685d45a93b3abea61eca7fe35dab6c842d6f5d570ef94a/wrapt-2.1.2-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c691a6bc752c0cc4711cc0c00896fcd0f116abc253609ef64ef930032821842", size = 116099, upload-time = "2026-03-06T02:54:56.74Z" }, + { url = "https://files.pythonhosted.org/packages/5c/4e/98a6eb417ef551dc277bec1253d5246b25003cf36fdf3913b65cb7657a56/wrapt-2.1.2-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f3b7d73012ea75aee5844de58c88f44cf62d0d62711e39da5a82824a7c4626a8", size = 112457, upload-time = "2026-03-06T02:53:52.842Z" }, + { url = "https://files.pythonhosted.org/packages/cb/a6/a6f7186a5297cad8ec53fd7578533b28f795fdf5372368c74bd7e6e9841c/wrapt-2.1.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:577dff354e7acd9d411eaf4bfe76b724c89c89c8fc9b7e127ee28c5f7bcb25b6", size = 115351, upload-time = "2026-03-06T02:53:32.684Z" }, + { url = "https://files.pythonhosted.org/packages/97/6f/06e66189e721dbebd5cf20e138acc4d1150288ce118462f2fcbff92d38db/wrapt-2.1.2-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:3d7b6fd105f8b24e5bd23ccf41cb1d1099796524bcc6f7fbb8fe576c44befbc9", size = 111748, upload-time = "2026-03-06T02:53:08.455Z" }, + { url = "https://files.pythonhosted.org/packages/ef/43/4808b86f499a51370fbdbdfa6cb91e9b9169e762716456471b619fca7a70/wrapt-2.1.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:866abdbf4612e0b34764922ef8b1c5668867610a718d3053d59e24a5e5fcfc15", size = 113783, upload-time = "2026-03-06T02:53:02.02Z" }, + { url = "https://files.pythonhosted.org/packages/91/2c/a3f28b8fa7ac2cefa01cfcaca3471f9b0460608d012b693998cd61ef43df/wrapt-2.1.2-cp311-cp311-win32.whl", hash = "sha256:5a0a0a3a882393095573344075189eb2d566e0fd205a2b6414e9997b1b800a8b", size = 57977, upload-time = "2026-03-06T02:53:27.844Z" }, + { url = "https://files.pythonhosted.org/packages/3f/c3/2b1c7bd07a27b1db885a2fab469b707bdd35bddf30a113b4917a7e2139d2/wrapt-2.1.2-cp311-cp311-win_amd64.whl", hash = "sha256:64a07a71d2730ba56f11d1a4b91f7817dc79bc134c11516b75d1921a7c6fcda1", size = 60336, upload-time = "2026-03-06T02:54:28.104Z" }, + { url = "https://files.pythonhosted.org/packages/ec/5c/76ece7b401b088daa6503d6264dd80f9a727df3e6042802de9a223084ea2/wrapt-2.1.2-cp311-cp311-win_arm64.whl", hash = "sha256:b89f095fe98bc12107f82a9f7d570dc83a0870291aeb6b1d7a7d35575f55d98a", size = 58756, upload-time = "2026-03-06T02:53:16.319Z" }, + { url = "https://files.pythonhosted.org/packages/4c/b6/1db817582c49c7fcbb7df6809d0f515af29d7c2fbf57eb44c36e98fb1492/wrapt-2.1.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ff2aad9c4cda28a8f0653fc2d487596458c2a3f475e56ba02909e950a9efa6a9", size = 61255, upload-time = "2026-03-06T02:52:45.663Z" }, + { url = "https://files.pythonhosted.org/packages/a2/16/9b02a6b99c09227c93cd4b73acc3678114154ec38da53043c0ddc1fba0dc/wrapt-2.1.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6433ea84e1cfacf32021d2a4ee909554ade7fd392caa6f7c13f1f4bf7b8e8748", size = 61848, upload-time = "2026-03-06T02:53:48.728Z" }, + { url = "https://files.pythonhosted.org/packages/af/aa/ead46a88f9ec3a432a4832dfedb84092fc35af2d0ba40cd04aea3889f247/wrapt-2.1.2-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:c20b757c268d30d6215916a5fa8461048d023865d888e437fab451139cad6c8e", size = 121433, upload-time = "2026-03-06T02:54:40.328Z" }, + { url = "https://files.pythonhosted.org/packages/3a/9f/742c7c7cdf58b59085a1ee4b6c37b013f66ac33673a7ef4aaed5e992bc33/wrapt-2.1.2-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:79847b83eb38e70d93dc392c7c5b587efe65b3e7afcc167aa8abd5d60e8761c8", size = 123013, upload-time = "2026-03-06T02:53:26.58Z" }, + { url = "https://files.pythonhosted.org/packages/e8/44/2c3dd45d53236b7ed7c646fcf212251dc19e48e599debd3926b52310fafb/wrapt-2.1.2-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f8fba1bae256186a83d1875b2b1f4e2d1242e8fac0f58ec0d7e41b26967b965c", size = 117326, upload-time = "2026-03-06T02:53:11.547Z" }, + { url = "https://files.pythonhosted.org/packages/74/e2/b17d66abc26bd96f89dec0ecd0ef03da4a1286e6ff793839ec431b9fae57/wrapt-2.1.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:e3d3b35eedcf5f7d022291ecd7533321c4775f7b9cd0050a31a68499ba45757c", size = 121444, upload-time = "2026-03-06T02:54:09.5Z" }, + { url = "https://files.pythonhosted.org/packages/3c/62/e2977843fdf9f03daf1586a0ff49060b1b2fc7ff85a7ea82b6217c1ae36e/wrapt-2.1.2-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:6f2c5390460de57fa9582bc8a1b7a6c86e1a41dfad74c5225fc07044c15cc8d1", size = 116237, upload-time = "2026-03-06T02:54:03.884Z" }, + { url = "https://files.pythonhosted.org/packages/88/dd/27fc67914e68d740bce512f11734aec08696e6b17641fef8867c00c949fc/wrapt-2.1.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7dfa9f2cf65d027b951d05c662cc99ee3bd01f6e4691ed39848a7a5fffc902b2", size = 120563, upload-time = "2026-03-06T02:53:20.412Z" }, + { url = "https://files.pythonhosted.org/packages/ec/9f/b750b3692ed2ef4705cb305bd68858e73010492b80e43d2a4faa5573cbe7/wrapt-2.1.2-cp312-cp312-win32.whl", hash = "sha256:eba8155747eb2cae4a0b913d9ebd12a1db4d860fc4c829d7578c7b989bd3f2f0", size = 58198, upload-time = "2026-03-06T02:53:37.732Z" }, + { url = "https://files.pythonhosted.org/packages/8e/b2/feecfe29f28483d888d76a48f03c4c4d8afea944dbee2b0cd3380f9df032/wrapt-2.1.2-cp312-cp312-win_amd64.whl", hash = "sha256:1c51c738d7d9faa0b3601708e7e2eda9bf779e1b601dce6c77411f2a1b324a63", size = 60441, upload-time = "2026-03-06T02:52:47.138Z" }, + { url = "https://files.pythonhosted.org/packages/44/e1/e328f605d6e208547ea9fd120804fcdec68536ac748987a68c47c606eea8/wrapt-2.1.2-cp312-cp312-win_arm64.whl", hash = "sha256:c8e46ae8e4032792eb2f677dbd0d557170a8e5524d22acc55199f43efedd39bf", size = 58836, upload-time = "2026-03-06T02:53:22.053Z" }, + { url = "https://files.pythonhosted.org/packages/4c/7a/d936840735c828b38d26a854e85d5338894cda544cb7a85a9d5b8b9c4df7/wrapt-2.1.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:787fd6f4d67befa6fe2abdffcbd3de2d82dfc6fb8a6d850407c53332709d030b", size = 61259, upload-time = "2026-03-06T02:53:41.922Z" }, + { url = "https://files.pythonhosted.org/packages/5e/88/9a9b9a90ac8ca11c2fdb6a286cb3a1fc7dd774c00ed70929a6434f6bc634/wrapt-2.1.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4bdf26e03e6d0da3f0e9422fd36bcebf7bc0eeb55fdf9c727a09abc6b9fe472e", size = 61851, upload-time = "2026-03-06T02:52:48.672Z" }, + { url = "https://files.pythonhosted.org/packages/03/a9/5b7d6a16fd6533fed2756900fc8fc923f678179aea62ada6d65c92718c00/wrapt-2.1.2-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:bbac24d879aa22998e87f6b3f481a5216311e7d53c7db87f189a7a0266dafffb", size = 121446, upload-time = "2026-03-06T02:54:14.013Z" }, + { url = "https://files.pythonhosted.org/packages/45/bb/34c443690c847835cfe9f892be78c533d4f32366ad2888972c094a897e39/wrapt-2.1.2-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:16997dfb9d67addc2e3f41b62a104341e80cac52f91110dece393923c0ebd5ca", size = 123056, upload-time = "2026-03-06T02:54:10.829Z" }, + { url = "https://files.pythonhosted.org/packages/93/b9/ff205f391cb708f67f41ea148545f2b53ff543a7ac293b30d178af4d2271/wrapt-2.1.2-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:162e4e2ba7542da9027821cb6e7c5e068d64f9a10b5f15512ea28e954893a267", size = 117359, upload-time = "2026-03-06T02:53:03.623Z" }, + { url = "https://files.pythonhosted.org/packages/1f/3d/1ea04d7747825119c3c9a5e0874a40b33594ada92e5649347c457d982805/wrapt-2.1.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f29c827a8d9936ac320746747a016c4bc66ef639f5cd0d32df24f5eacbf9c69f", size = 121479, upload-time = "2026-03-06T02:53:45.844Z" }, + { url = "https://files.pythonhosted.org/packages/78/cc/ee3a011920c7a023b25e8df26f306b2484a531ab84ca5c96260a73de76c0/wrapt-2.1.2-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:a9dd9813825f7ecb018c17fd147a01845eb330254dff86d3b5816f20f4d6aaf8", size = 116271, upload-time = "2026-03-06T02:54:46.356Z" }, + { url = "https://files.pythonhosted.org/packages/98/fd/e5ff7ded41b76d802cf1191288473e850d24ba2e39a6ec540f21ae3b57cb/wrapt-2.1.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6f8dbdd3719e534860d6a78526aafc220e0241f981367018c2875178cf83a413", size = 120573, upload-time = "2026-03-06T02:52:50.163Z" }, + { url = "https://files.pythonhosted.org/packages/47/c5/242cae3b5b080cd09bacef0591691ba1879739050cc7c801ff35c8886b66/wrapt-2.1.2-cp313-cp313-win32.whl", hash = "sha256:5c35b5d82b16a3bc6e0a04349b606a0582bc29f573786aebe98e0c159bc48db6", size = 58205, upload-time = "2026-03-06T02:53:47.494Z" }, + { url = "https://files.pythonhosted.org/packages/12/69/c358c61e7a50f290958809b3c61ebe8b3838ea3e070d7aac9814f95a0528/wrapt-2.1.2-cp313-cp313-win_amd64.whl", hash = "sha256:f8bc1c264d8d1cf5b3560a87bbdd31131573eb25f9f9447bb6252b8d4c44a3a1", size = 60452, upload-time = "2026-03-06T02:53:30.038Z" }, + { url = "https://files.pythonhosted.org/packages/8e/66/c8a6fcfe321295fd8c0ab1bd685b5a01462a9b3aa2f597254462fc2bc975/wrapt-2.1.2-cp313-cp313-win_arm64.whl", hash = "sha256:3beb22f674550d5634642c645aba4c72a2c66fb185ae1aebe1e955fae5a13baf", size = 58842, upload-time = "2026-03-06T02:52:52.114Z" }, + { url = "https://files.pythonhosted.org/packages/da/55/9c7052c349106e0b3f17ae8db4b23a691a963c334de7f9dbd60f8f74a831/wrapt-2.1.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0fc04bc8664a8bc4c8e00b37b5355cffca2535209fba1abb09ae2b7c76ddf82b", size = 63075, upload-time = "2026-03-06T02:53:19.108Z" }, + { url = "https://files.pythonhosted.org/packages/09/a8/ce7b4006f7218248dd71b7b2b732d0710845a0e49213b18faef64811ffef/wrapt-2.1.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:a9b9d50c9af998875a1482a038eb05755dfd6fe303a313f6a940bb53a83c3f18", size = 63719, upload-time = "2026-03-06T02:54:33.452Z" }, + { url = "https://files.pythonhosted.org/packages/e4/e5/2ca472e80b9e2b7a17f106bb8f9df1db11e62101652ce210f66935c6af67/wrapt-2.1.2-cp313-cp313t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:2d3ff4f0024dd224290c0eabf0240f1bfc1f26363431505fb1b0283d3b08f11d", size = 152643, upload-time = "2026-03-06T02:52:42.721Z" }, + { url = "https://files.pythonhosted.org/packages/36/42/30f0f2cefca9d9cbf6835f544d825064570203c3e70aa873d8ae12e23791/wrapt-2.1.2-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3278c471f4468ad544a691b31bb856374fbdefb7fee1a152153e64019379f015", size = 158805, upload-time = "2026-03-06T02:54:25.441Z" }, + { url = "https://files.pythonhosted.org/packages/bb/67/d08672f801f604889dcf58f1a0b424fe3808860ede9e03affc1876b295af/wrapt-2.1.2-cp313-cp313t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:a8914c754d3134a3032601c6984db1c576e6abaf3fc68094bb8ab1379d75ff92", size = 145990, upload-time = "2026-03-06T02:53:57.456Z" }, + { url = "https://files.pythonhosted.org/packages/68/a7/fd371b02e73babec1de6ade596e8cd9691051058cfdadbfd62a5898f3295/wrapt-2.1.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:ff95d4264e55839be37bafe1536db2ab2de19da6b65f9244f01f332b5286cfbf", size = 155670, upload-time = "2026-03-06T02:54:55.309Z" }, + { url = "https://files.pythonhosted.org/packages/86/2d/9fe0095dfdb621009f40117dcebf41d7396c2c22dca6eac779f4c007b86c/wrapt-2.1.2-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:76405518ca4e1b76fbb1b9f686cff93aebae03920cc55ceeec48ff9f719c5f67", size = 144357, upload-time = "2026-03-06T02:54:24.092Z" }, + { url = "https://files.pythonhosted.org/packages/0e/b6/ec7b4a254abbe4cde9fa15c5d2cca4518f6b07d0f1b77d4ee9655e30280e/wrapt-2.1.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:c0be8b5a74c5824e9359b53e7e58bef71a729bacc82e16587db1c4ebc91f7c5a", size = 150269, upload-time = "2026-03-06T02:53:31.268Z" }, + { url = "https://files.pythonhosted.org/packages/6e/6b/2fabe8ebf148f4ee3c782aae86a795cc68ffe7d432ef550f234025ce0cfa/wrapt-2.1.2-cp313-cp313t-win32.whl", hash = "sha256:f01277d9a5fc1862f26f7626da9cf443bebc0abd2f303f41c5e995b15887dabd", size = 59894, upload-time = "2026-03-06T02:54:15.391Z" }, + { url = "https://files.pythonhosted.org/packages/ca/fb/9ba66fc2dedc936de5f8073c0217b5d4484e966d87723415cc8262c5d9c2/wrapt-2.1.2-cp313-cp313t-win_amd64.whl", hash = "sha256:84ce8f1c2104d2f6daa912b1b5b039f331febfeee74f8042ad4e04992bd95c8f", size = 63197, upload-time = "2026-03-06T02:54:41.943Z" }, + { url = "https://files.pythonhosted.org/packages/c0/1c/012d7423c95d0e337117723eb8ecf73c622ce15a97847e84cf3f8f26cd7e/wrapt-2.1.2-cp313-cp313t-win_arm64.whl", hash = "sha256:a93cd767e37faeddbe07d8fc4212d5cba660af59bdb0f6372c93faaa13e6e679", size = 60363, upload-time = "2026-03-06T02:54:48.093Z" }, + { url = "https://files.pythonhosted.org/packages/39/25/e7ea0b417db02bb796182a5316398a75792cd9a22528783d868755e1f669/wrapt-2.1.2-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:1370e516598854e5b4366e09ce81e08bfe94d42b0fd569b88ec46cc56d9164a9", size = 61418, upload-time = "2026-03-06T02:53:55.706Z" }, + { url = "https://files.pythonhosted.org/packages/ec/0f/fa539e2f6a770249907757eaeb9a5ff4deb41c026f8466c1c6d799088a9b/wrapt-2.1.2-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:6de1a3851c27e0bd6a04ca993ea6f80fc53e6c742ee1601f486c08e9f9b900a9", size = 61914, upload-time = "2026-03-06T02:52:53.37Z" }, + { url = "https://files.pythonhosted.org/packages/53/37/02af1867f5b1441aaeda9c82deed061b7cd1372572ddcd717f6df90b5e93/wrapt-2.1.2-cp314-cp314-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:de9f1a2bbc5ac7f6012ec24525bdd444765a2ff64b5985ac6e0692144838542e", size = 120417, upload-time = "2026-03-06T02:54:30.74Z" }, + { url = "https://files.pythonhosted.org/packages/c3/b7/0138a6238c8ba7476c77cf786a807f871672b37f37a422970342308276e7/wrapt-2.1.2-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:970d57ed83fa040d8b20c52fe74a6ae7e3775ae8cff5efd6a81e06b19078484c", size = 122797, upload-time = "2026-03-06T02:54:51.539Z" }, + { url = "https://files.pythonhosted.org/packages/e1/ad/819ae558036d6a15b7ed290d5b14e209ca795dd4da9c58e50c067d5927b0/wrapt-2.1.2-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:3969c56e4563c375861c8df14fa55146e81ac11c8db49ea6fb7f2ba58bc1ff9a", size = 117350, upload-time = "2026-03-06T02:54:37.651Z" }, + { url = "https://files.pythonhosted.org/packages/8b/2d/afc18dc57a4600a6e594f77a9ae09db54f55ba455440a54886694a84c71b/wrapt-2.1.2-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:57d7c0c980abdc5f1d98b11a2aa3bb159790add80258c717fa49a99921456d90", size = 121223, upload-time = "2026-03-06T02:54:35.221Z" }, + { url = "https://files.pythonhosted.org/packages/b9/5b/5ec189b22205697bc56eb3b62aed87a1e0423e9c8285d0781c7a83170d15/wrapt-2.1.2-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:776867878e83130c7a04237010463372e877c1c994d449ca6aaafeab6aab2586", size = 116287, upload-time = "2026-03-06T02:54:19.654Z" }, + { url = "https://files.pythonhosted.org/packages/f7/2d/f84939a7c9b5e6cdd8a8d0f6a26cabf36a0f7e468b967720e8b0cd2bdf69/wrapt-2.1.2-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:fab036efe5464ec3291411fabb80a7a39e2dd80bae9bcbeeca5087fdfa891e19", size = 119593, upload-time = "2026-03-06T02:54:16.697Z" }, + { url = "https://files.pythonhosted.org/packages/0b/fe/ccd22a1263159c4ac811ab9374c061bcb4a702773f6e06e38de5f81a1bdc/wrapt-2.1.2-cp314-cp314-win32.whl", hash = "sha256:e6ed62c82ddf58d001096ae84ce7f833db97ae2263bff31c9b336ba8cfe3f508", size = 58631, upload-time = "2026-03-06T02:53:06.498Z" }, + { url = "https://files.pythonhosted.org/packages/65/0a/6bd83be7bff2e7efaac7b4ac9748da9d75a34634bbbbc8ad077d527146df/wrapt-2.1.2-cp314-cp314-win_amd64.whl", hash = "sha256:467e7c76315390331c67073073d00662015bb730c566820c9ca9b54e4d67fd04", size = 60875, upload-time = "2026-03-06T02:53:50.252Z" }, + { url = "https://files.pythonhosted.org/packages/6c/c0/0b3056397fe02ff80e5a5d72d627c11eb885d1ca78e71b1a5c1e8c7d45de/wrapt-2.1.2-cp314-cp314-win_arm64.whl", hash = "sha256:da1f00a557c66225d53b095a97eace0fc5349e3bfda28fa34ffae238978ee575", size = 59164, upload-time = "2026-03-06T02:53:59.128Z" }, + { url = "https://files.pythonhosted.org/packages/71/ed/5d89c798741993b2371396eb9d4634f009ff1ad8a6c78d366fe2883ea7a6/wrapt-2.1.2-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:62503ffbc2d3a69891cf29beeaccdb4d5e0a126e2b6a851688d4777e01428dbb", size = 63163, upload-time = "2026-03-06T02:52:54.873Z" }, + { url = "https://files.pythonhosted.org/packages/c6/8c/05d277d182bf36b0a13d6bd393ed1dec3468a25b59d01fba2dd70fe4d6ae/wrapt-2.1.2-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c7e6cd120ef837d5b6f860a6ea3745f8763805c418bb2f12eeb1fa6e25f22d22", size = 63723, upload-time = "2026-03-06T02:52:56.374Z" }, + { url = "https://files.pythonhosted.org/packages/f4/27/6c51ec1eff4413c57e72d6106bb8dec6f0c7cdba6503d78f0fa98767bcc9/wrapt-2.1.2-cp314-cp314t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:3769a77df8e756d65fbc050333f423c01ae012b4f6731aaf70cf2bef61b34596", size = 152652, upload-time = "2026-03-06T02:53:23.79Z" }, + { url = "https://files.pythonhosted.org/packages/db/4c/d7dd662d6963fc7335bfe29d512b02b71cdfa23eeca7ab3ac74a67505deb/wrapt-2.1.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a76d61a2e851996150ba0f80582dd92a870643fa481f3b3846f229de88caf044", size = 158807, upload-time = "2026-03-06T02:53:35.742Z" }, + { url = "https://files.pythonhosted.org/packages/b4/4d/1e5eea1a78d539d346765727422976676615814029522c76b87a95f6bcdd/wrapt-2.1.2-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:6f97edc9842cf215312b75fe737ee7c8adda75a89979f8e11558dfff6343cc4b", size = 146061, upload-time = "2026-03-06T02:52:57.574Z" }, + { url = "https://files.pythonhosted.org/packages/89/bc/62cabea7695cd12a288023251eeefdcb8465056ddaab6227cb78a2de005b/wrapt-2.1.2-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:4006c351de6d5007aa33a551f600404ba44228a89e833d2fadc5caa5de8edfbf", size = 155667, upload-time = "2026-03-06T02:53:39.422Z" }, + { url = "https://files.pythonhosted.org/packages/e9/99/6f2888cd68588f24df3a76572c69c2de28287acb9e1972bf0c83ce97dbc1/wrapt-2.1.2-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:a9372fc3639a878c8e7d87e1556fa209091b0a66e912c611e3f833e2c4202be2", size = 144392, upload-time = "2026-03-06T02:54:22.41Z" }, + { url = "https://files.pythonhosted.org/packages/40/51/1dfc783a6c57971614c48e361a82ca3b6da9055879952587bc99fe1a7171/wrapt-2.1.2-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:3144b027ff30cbd2fca07c0a87e67011adb717eb5f5bd8496325c17e454257a3", size = 150296, upload-time = "2026-03-06T02:54:07.848Z" }, + { url = "https://files.pythonhosted.org/packages/6c/38/cbb8b933a0201076c1f64fc42883b0023002bdc14a4964219154e6ff3350/wrapt-2.1.2-cp314-cp314t-win32.whl", hash = "sha256:3b8d15e52e195813efe5db8cec156eebe339aaf84222f4f4f051a6c01f237ed7", size = 60539, upload-time = "2026-03-06T02:54:00.594Z" }, + { url = "https://files.pythonhosted.org/packages/82/dd/e5176e4b241c9f528402cebb238a36785a628179d7d8b71091154b3e4c9e/wrapt-2.1.2-cp314-cp314t-win_amd64.whl", hash = "sha256:08ffa54146a7559f5b8df4b289b46d963a8e74ed16ba3687f99896101a3990c5", size = 63969, upload-time = "2026-03-06T02:54:39Z" }, + { url = "https://files.pythonhosted.org/packages/5c/99/79f17046cf67e4a95b9987ea129632ba8bcec0bc81f3fb3d19bdb0bd60cd/wrapt-2.1.2-cp314-cp314t-win_arm64.whl", hash = "sha256:72aaa9d0d8e4ed0e2e98019cea47a21f823c9dd4b43c7b77bba6679ffcca6a00", size = 60554, upload-time = "2026-03-06T02:53:14.132Z" }, + { url = "https://files.pythonhosted.org/packages/1a/c7/8528ac2dfa2c1e6708f647df7ae144ead13f0a31146f43c7264b4942bf12/wrapt-2.1.2-py3-none-any.whl", hash = "sha256:b8fd6fa2b2c4e7621808f8c62e8317f4aae56e59721ad933bac5239d913cf0e8", size = 43993, upload-time = "2026-03-06T02:53:12.905Z" }, ] [[package]] name = "xarray" version = "2026.2.0" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", -] dependencies = [ - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "packaging", marker = "python_full_version >= '3.11'" }, - { name = "pandas", marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, + { name = "packaging" }, + { name = "pandas" }, ] sdist = { url = "https://files.pythonhosted.org/packages/0f/03/e3353b72e518574b32993989d8f696277bf878e9d508c7dd22e86c0dab5b/xarray-2026.2.0.tar.gz", hash = "sha256:978b6acb018770554f8fd964af4eb02f9bcc165d4085dbb7326190d92aa74bcf", size = 3111388, upload-time = "2026-02-13T22:20:50.18Z" } wheels = [ { url = "https://files.pythonhosted.org/packages/99/92/545eb2ca17fc0e05456728d7e4378bfee48d66433ae3b7e71948e46826fb/xarray-2026.2.0-py3-none-any.whl", hash = "sha256:e927d7d716ea71dea78a13417970850a640447d8dd2ceeb65c5687f6373837c9", size = 1405358, upload-time = "2026-02-13T22:20:47.847Z" }, ] -[[package]] -name = "xarray-einstats" -version = "0.8.0" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11'", -] -dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "xarray", version = "2025.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/ed/5d/654cca0448ad5c1d0333530511bc20eefaab304a4362dcbdc7ea3da12a3d/xarray_einstats-0.8.0.tar.gz", hash = "sha256:7f1573f9bd4d60d6e7ed9fd27c4db39da51ec49bf8ba654d4602a139a6309d7f", size = 30225, upload-time = "2024-09-19T00:07:39.399Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/f8/07/27f0d68989bb1c44a781747e222dda67cf65002834ed35ad91abd1a71802/xarray_einstats-0.8.0-py3-none-any.whl", hash = "sha256:fd00552c3fb5c859b1ebc7c88a97342d3bb93d14bba904c5a9b94a4f724b76b4", size = 32553, upload-time = "2024-09-19T00:07:37.904Z" }, -] - [[package]] name = "xarray-einstats" version = "0.9.1" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version == '3.11.*'", + "python_full_version < '3.12'", ] dependencies = [ - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, - { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, - { name = "xarray", version = "2026.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, + { name = "numpy", marker = "python_full_version < '3.12'" }, + { name = "scipy", marker = "python_full_version < '3.12'" }, + { name = "xarray", marker = "python_full_version < '3.12'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/f1/10/ef474494a7f2102ec4c02352c723fa282c6237b600565eb82ee354291211/xarray_einstats-0.9.1.tar.gz", hash = "sha256:39b373deed43592c41d3fbf8863af62e19e01c1ae553ae5ff059a8df78d995c6", size = 33327, upload-time = "2025-06-18T15:53:28.499Z" } wheels = [ @@ -2781,12 +3074,14 @@ name = "xarray-einstats" version = "0.10.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version >= '3.12'", + "python_full_version >= '3.14'", + "python_full_version == '3.13.*'", + "python_full_version == '3.12.*'", ] dependencies = [ - { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "scipy", version = "1.17.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "xarray", version = "2026.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "numpy", marker = "python_full_version >= '3.12'" }, + { name = "scipy", marker = "python_full_version >= '3.12'" }, + { name = "xarray", marker = "python_full_version >= '3.12'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/48/9b/305ee6a2dac75fc9c28105db061408df6ecbf0f7a1de37636e8e4ea47ca7/xarray_einstats-0.10.0.tar.gz", hash = "sha256:d432a363fc8f09baad164f9826dc711551c684b9abd8098c1b961d18663a627d", size = 33449, upload-time = "2026-02-19T18:13:55.245Z" } wheels = [