From 3c7b1ecbb1e7f86ead0324eb3dec6c8289fb5095 Mon Sep 17 00:00:00 2001 From: osvalb Date: Tue, 12 May 2026 18:51:39 +0200 Subject: [PATCH 1/7] implement lmfit --- pyproject.toml | 1 + src/pychemelt/monomer.py | 16 +- src/pychemelt/thermal_oligomer.py | 28 +- src/pychemelt/utils/fitting.py | 1437 +++++++---- tests/test_fitting.py | 74 +- tests/test_fitting_2.py | 10 +- tests/test_fitting_4.py | 6 +- tests/test_fitting_therm_oligo.py | 72 +- tests/test_fitting_therm_oligo_2.py | 27 +- tests/test_fitting_therm_oligo_Cp_value.py | 8 +- tests/test_fitting_therm_oligo_three_state.py | 96 +- tests/test_main_therm_oligo_2.py | 2 +- uv.lock | 2283 +++++++++-------- 13 files changed, 2259 insertions(+), 1801 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index ceac334..19e3cf0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,6 +5,7 @@ description = "Add your description here" readme = "README.md" requires-python = ">=3.12" dependencies = [ + "lmfit>=1.3.4", "matplotlib>=3.10.7", "numpy>=2.3.5", "openpyxl>=3.1.5", diff --git a/src/pychemelt/monomer.py b/src/pychemelt/monomer.py index af11fcf..61b9d5c 100644 --- a/src/pychemelt/monomer.py +++ b/src/pychemelt/monomer.py @@ -559,7 +559,7 @@ def fit_thermal_unfolding_global( kwargs['list_of_temperatures'] = self.temp_lst_expanded_subset kwargs['list_of_signals'] = self.signal_lst_expanded_subset - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) p0 = global_fit_params @@ -568,7 +568,7 @@ def fit_thermal_unfolding_global( kwargs['list_of_signals'] = self.signal_lst_expanded # First fit without m-value dependence on temperature - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) # Insert the initial estimate for the m-value dependence of temperature, in the position 4 if fit_m_dep: @@ -586,7 +586,7 @@ def fit_thermal_unfolding_global( params_names.insert(id_m+1, 'm - T dependence') - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( global_fit_params, @@ -776,7 +776,7 @@ def fit_thermal_unfolding_global_global(self): if self.pre_fit: # Do a pre-fit with a reduced data set - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) p0 = global_fit_params # End of pre-fit @@ -785,7 +785,7 @@ def fit_thermal_unfolding_global_global(self): kwargs['list_of_temperatures'] = self.temp_lst_expanded kwargs['list_of_signals'] = self.signal_lst_expanded - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( global_fit_params, @@ -1040,7 +1040,7 @@ def fit_thermal_unfolding_global_global_global( if self.pre_fit: - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) # Assign the fitted parameters to the initial guess for the full dataset p0 = global_fit_params @@ -1051,7 +1051,7 @@ def fit_thermal_unfolding_global_global_global( kwargs['list_of_signals'] = self.signal_lst_expanded kwargs['list_of_temperatures'] = self.temp_lst_expanded - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) # Remove scale factors that are not significant if model_scale_factor: @@ -1125,7 +1125,7 @@ def fit_thermal_unfolding_global_global_global( kwargs['high_bounds'] = high_bounds kwargs['scale_factor_exclude_ids'] = scale_factor_exclude_ids - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) rel_errors = relative_errors(global_fit_params, cov) diff --git a/src/pychemelt/thermal_oligomer.py b/src/pychemelt/thermal_oligomer.py index 90c11ee..bff2731 100644 --- a/src/pychemelt/thermal_oligomer.py +++ b/src/pychemelt/thermal_oligomer.py @@ -590,7 +590,7 @@ def fit_thermal_unfolding_global( kwargs['list_of_temperatures'] = self.temp_lst_expanded_subset kwargs['list_of_signals'] = self.signal_lst_expanded_subset - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) p0 = global_fit_params @@ -598,7 +598,7 @@ def fit_thermal_unfolding_global( kwargs['list_of_temperatures'] = self.temp_lst_expanded kwargs['list_of_signals'] = self.signal_lst_expanded - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( global_fit_params, @@ -910,7 +910,7 @@ def fit_thermal_unfolding_three_state_global( kwargs['t2'] = row['t2'] try: - fit_params, cov, pred = fit_oligomer_unfolding_three_states_single_slopes(**kwargs) + fit_params, cov, pred, result, minimizer = fit_oligomer_unfolding_three_states_single_slopes(**kwargs) except Exception as e: print(f"Warning: {e}") continue @@ -948,7 +948,7 @@ def fit_thermal_unfolding_three_state_global( kwargs['list_of_temperatures'] = self.temp_lst_expanded kwargs['list_of_signals'] = self.signal_lst_expanded - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( global_fit_params, @@ -1139,7 +1139,7 @@ def fit_thermal_unfolding_global_global(self): if self.pre_fit: # Do a pre-fit with a reduced data set - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) p0 = global_fit_params # End of pre-fit @@ -1148,7 +1148,7 @@ def fit_thermal_unfolding_global_global(self): kwargs['list_of_temperatures'] = self.temp_lst_expanded kwargs['list_of_signals'] = self.signal_lst_expanded - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( global_fit_params, @@ -1346,7 +1346,7 @@ def fit_thermal_unfolding_three_state_global_global(self): if self.pre_fit: # Do a pre-fit with a reduced data set - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) p0 = global_fit_params # End of pre-fit @@ -1355,7 +1355,7 @@ def fit_thermal_unfolding_three_state_global_global(self): kwargs['list_of_temperatures'] = self.temp_lst_expanded kwargs['list_of_signals'] = self.signal_lst_expanded - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( global_fit_params, @@ -1564,7 +1564,7 @@ def fit_thermal_unfolding_global_global_global( if self.pre_fit: - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) # Assign the fitted parameters to the initial guess for the full dataset p0 = global_fit_params @@ -1574,7 +1574,7 @@ def fit_thermal_unfolding_global_global_global( # Use the whole dataset kwargs['list_of_signals'] = self.signal_lst_expanded kwargs['list_of_temperatures'] = self.temp_lst_expanded - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) # Remove scale factors that are not significant if model_scale_factor: @@ -1644,7 +1644,7 @@ def fit_thermal_unfolding_global_global_global( kwargs['high_bounds'] = high_bounds kwargs['scale_factor_exclude_ids'] = scale_factor_exclude_ids - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) rel_errors = relative_errors(global_fit_params, cov) @@ -1857,7 +1857,7 @@ def fit_thermal_unfolding_three_state_global_global_global( if self.pre_fit: - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) # Assign the fitted parameters to the initial guess for the full dataset p0 = global_fit_params @@ -1868,7 +1868,7 @@ def fit_thermal_unfolding_three_state_global_global_global( kwargs['list_of_signals'] = self.signal_lst_expanded kwargs['list_of_temperatures'] = self.temp_lst_expanded - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) # Remove scale factors that are not significant if model_scale_factor: @@ -1941,7 +1941,7 @@ def fit_thermal_unfolding_three_state_global_global_global( kwargs['high_bounds'] = high_bounds kwargs['scale_factor_exclude_ids'] = scale_factor_exclude_ids - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) rel_errors = relative_errors(global_fit_params, cov) diff --git a/src/pychemelt/utils/fitting.py b/src/pychemelt/utils/fitting.py index 9d0d223..1378088 100644 --- a/src/pychemelt/utils/fitting.py +++ b/src/pychemelt/utils/fitting.py @@ -2,13 +2,12 @@ This module contains helper functions to fit unfolding data Author: Osvaldo Burastero """ - +import lmfit import numpy as np from scipy.optimize import curve_fit from scipy.optimize import least_squares from numpy.linalg import pinv - from .math import get_rss, temperature_to_kelvin, temperature_to_celsius __all__ = [ @@ -17,6 +16,7 @@ "fit_exponential_robust", "fit_thermal_unfolding", "fit_tc_unfolding_single_slopes", + "fit_tc_unfolding_single_slopes_lmfit", "fit_tc_unfolding_shared_slopes_many_signals", "fit_tc_unfolding_many_signals", "fit_oligomer_unfolding_single_slopes", @@ -410,6 +410,7 @@ def thermal_unfolding(dummyVariable, *args): return global_fit_params, cov, predicted_lst + def fit_tc_unfolding_single_slopes( list_of_temperatures, list_of_signals, @@ -425,8 +426,7 @@ def fit_tc_unfolding_single_slopes( cp_value=None, tm_value=None, dh_value=None, - method='least_sq' -): + method='least_squares'): """ Vectorized and optimized version of global thermal unfolding fitting. @@ -482,15 +482,23 @@ def fit_tc_unfolding_single_slopes( d_all = np.repeat(denaturant_concentrations, lengths) - c_all = 0 if list_of_oligomer_conc is None else np.repeat(denaturant_concentrations, lengths) + if list_of_oligomer_conc is None: + c_all = np.zeros_like(T_all, dtype=float) + else: + c_all = np.repeat(list_of_oligomer_conc, lengths) # ------------------------------------------------------------ - # Baseline parameter requirements (resolved ONCE) + # Baseline parameter requirements # ------------------------------------------------------------ use_p2N, use_p3N = baseline_fx_name_to_req_params(baseline_native_fx) use_p2U, use_p3U = baseline_fx_name_to_req_params(baseline_unfolded_fx) - # Convert the Tm to kelvin + # Work on copies so the caller's arrays are not modified in place + initial_parameters = np.array(initial_parameters, dtype=float).copy() + low_bounds = np.array(low_bounds, dtype=float).copy() + high_bounds = np.array(high_bounds, dtype=float).copy() + + # Convert Tm-related values to Kelvin if tm_value is None: initial_parameters[0] = temperature_to_kelvin(initial_parameters[0]) low_bounds[0] = temperature_to_kelvin(low_bounds[0]) @@ -499,126 +507,172 @@ def fit_tc_unfolding_single_slopes( tm_value = temperature_to_kelvin(tm_value) # ------------------------------------------------------------ - # Vectorized unfolding model + # Build lmfit Parameters in the same order as the old vector # ------------------------------------------------------------ - def unfolding(_, *params): + params = lmfit.Parameters() + i = 0 + + def add_param(name, value, pmin, pmax, vary=True): + params.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=vary) - i = 0 + if tm_value is None: + add_param("Tm", initial_parameters[i], low_bounds[i], high_bounds[i], vary=True) + i += 1 + + if dh_value is None: + add_param("DHm", initial_parameters[i], low_bounds[i], high_bounds[i], vary=True) + i += 1 + + if cp_value is None: + add_param("Cp0", initial_parameters[i], low_bounds[i], high_bounds[i], vary=True) + i += 1 + + add_param("m0", initial_parameters[i], low_bounds[i], high_bounds[i], vary=True) + i += 1 + + if fit_m1: + add_param("m1", initial_parameters[i], low_bounds[i], high_bounds[i], vary=True) + i += 1 + + for j in range(n_datasets): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + for j in range(n_datasets): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + if use_p2N: + for j in range(n_datasets): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + if use_p2U: + for j in range(n_datasets): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + if use_p3N: + for j in range(n_datasets): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + if use_p3U: + for j in range(n_datasets): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + # ------------------------------------------------------------ + # Vectorized unfolding model + # ------------------------------------------------------------ + def unfolding_model(pars): + idx = 0 - # ---- Global thermodynamics ---- if tm_value is None: - Tm = params[i] - i += 1 + Tm = pars["Tm"].value else: Tm = tm_value if dh_value is None: - DHm = params[i] - i += 1 + DHm = pars["DHm"].value else: DHm = dh_value if cp_value is None: - Cp0 = params[i] - i += 1 + Cp0 = pars["Cp0"].value else: Cp0 = cp_value - m0 = params[i] - i += 1 + m0 = pars["m0"].value if fit_m1: - m1 = params[i] - i += 1 + m1 = pars["m1"].value else: m1 = 0.0 - # ---- Dataset-specific parameters ---- - p1N = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets - - p1U = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p1N = np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]) + p1U = np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]) if use_p2N: - p2N = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p2N = np.array([pars[f"p2N_{j}"].value for j in range(n_datasets)]) else: p2N = 0.0 if use_p2U: - p2U = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p2U = np.array([pars[f"p2U_{j}"].value for j in range(n_datasets)]) else: p2U = 0.0 if use_p3N: - p3N = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p3N = np.array([pars[f"p3N_{j}"].value for j in range(n_datasets)]) else: p3N = 0.0 if use_p3U: - p3U = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p3U = np.array([pars[f"p3U_{j}"].value for j in range(n_datasets)]) else: p3U = 0.0 - # ---- Single vectorized signal evaluation ---- + p1N_all = np.repeat(p1N, lengths) + p1U_all = np.repeat(p1U, lengths) + + if np.isscalar(p2N): + p2N_all = p2N + else: + p2N_all = np.repeat(p2N, lengths) + + if np.isscalar(p2U): + p2U_all = p2U + else: + p2U_all = np.repeat(p2U, lengths) + + if np.isscalar(p3N): + p3N_all = p3N + else: + p3N_all = np.repeat(p3N, lengths) + + if np.isscalar(p3U): + p3U_all = p3U + else: + p3U_all = np.repeat(p3U, lengths) + return signal_fx( T_all, d_all, DHm, Tm, Cp0, m0, m1, - 0, p1N, p2N, p3N, - 0, p1U, p2U, p3U, + 0, p1N_all, p2N_all, p3N_all, + 0, p1U_all, p2U_all, p3U_all, baseline_native_fx, baseline_unfolded_fx, c_all ) - if method == 'least_sq': - - def residuals(params): - return unfolding(None, *params) - y_all - - res = least_squares( - residuals, - x0=initial_parameters, - bounds=(low_bounds, high_bounds), - method="trf", # trust-region reflective (supports bounds) - xtol=1e-8, - ftol=1e-8, - gtol=1e-8 - ) - - global_fit_params = res.x - - # Jacobian at solution - J = res.jac + # ------------------------------------------------------------ + # Residual function for lmfit + # ------------------------------------------------------------ + def residuals(pars): + return unfolding_model(pars) - y_all - # Residual variance - dof = len(y_all) - len(res.x) - residual_variance = np.sum(res.fun ** 2) / dof + minimizer = lmfit.Minimizer(residuals, params) + result = minimizer.minimize(method=method) - # Robust covariance matrix - cov = pinv(J.T @ J) * residual_variance + global_fit_params = list(result.params.valuesdict().values()) + # ------------------------------------------------------------ + # Covariance matrix + # ------------------------------------------------------------ + if result.covar is not None: + cov = result.covar else: - - # ------------------------------------------------------------ - # Fit - # ------------------------------------------------------------ - global_fit_params, cov = curve_fit( - unfolding, - xdata=1.0, # dummy variable - ydata=y_all, - p0=initial_parameters, - bounds=(low_bounds, high_bounds) - ) + # Fallback if lmfit could not estimate covariance + J = result.jac + dof = len(y_all) - len(result.var_names) + residual_variance = np.sum(result.residual ** 2) / max(dof, 1) + cov = pinv(J.T @ J) * residual_variance # ------------------------------------------------------------ # Predict & split per dataset # ------------------------------------------------------------ - predicted_all = unfolding(1.0, *global_fit_params) + predicted_all = unfolding_model(result.params) predicted_lst = [] start = 0 @@ -626,12 +680,12 @@ def residuals(params): predicted_lst.append(predicted_all[start:start + n]) start += n - # Convert the Tm back to Celsius + # Convert Tm back to Celsius for the returned vector if tm_value is None: global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) - return global_fit_params, cov, predicted_lst - + return global_fit_params, cov, predicted_lst, result, minimizer + def fit_oligomer_unfolding_single_slopes( list_of_temperatures, list_of_signals, @@ -645,6 +699,7 @@ def fit_oligomer_unfolding_single_slopes( cp_value=None, tm_value=None, dh_value=None, + method='least_squares', ): """ Vectorized and optimized version of global thermal unfolding fitting. of oligomers @@ -680,6 +735,10 @@ def fit_oligomer_unfolding_single_slopes( Covariance matrix predicted_lst : list of numpy.ndarray Predicted signals per dataset + result : lmfit.minimizer.MinimizerResult + lmfit minimization result object + minimizer : lmfit.minimizer.Minimizer + lmfit minimizer object """ # ------------------------------------------------------------ @@ -709,7 +768,55 @@ def fit_oligomer_unfolding_single_slopes( else: tm_value = temperature_to_kelvin(tm_value) - def unfolding(_, *params): + params_lmfit = lmfit.Parameters() + param_names = [] + i = 0 + + def add_param(name, value, pmin, pmax): + params_lmfit.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=True) + param_names.append(name) + + if tm_value is None: + add_param("Tm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if dh_value is None: + add_param("DHm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if cp_value is None: + add_param("Cp0", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + for j in range(n_datasets): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + for j in range(n_datasets): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + if use_p2N: + for j in range(n_datasets): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + if use_p2U: + for j in range(n_datasets): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + if use_p3N: + for j in range(n_datasets): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + if use_p3U: + for j in range(n_datasets): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + def model(pars): """ Calculate the thermal unfolding profile of many curves at the same time @@ -737,56 +844,41 @@ def unfolding(_, *params): slopes and intercept of the folded and unfolded states """ - i = 0 - - # ---- Global thermodynamics ---- if tm_value is None: - Tm = params[i] - i += 1 + Tm = pars["Tm"].value else: Tm = tm_value if dh_value is None: - DHm = params[i] - i += 1 + DHm = pars["DHm"].value else: DHm = dh_value if cp_value is None: - Cp0 = params[i] - i += 1 + Cp0 = pars["Cp0"].value else: Cp0 = cp_value - - # ---- Dataset-specific parameters ---- - p1N = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets - - p1U = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p1N = np.repeat(np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]), lengths) + p1U = np.repeat(np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]), lengths) if use_p2N: - p2N = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p2N = np.repeat(np.array([pars[f"p2N_{j}"].value for j in range(n_datasets)]), lengths) else: p2N = 0.0 if use_p2U: - p2U = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p2U = np.repeat(np.array([pars[f"p2U_{j}"].value for j in range(n_datasets)]), lengths) else: p2U = 0.0 if use_p3N: - p3N = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p3N = np.repeat(np.array([pars[f"p3N_{j}"].value for j in range(n_datasets)]), lengths) else: p3N = 0.0 if use_p3U: - p3U = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p3U = np.repeat(np.array([pars[f"p3U_{j}"].value for j in range(n_datasets)]), lengths) else: p3U = 0.0 @@ -801,12 +893,30 @@ def unfolding(_, *params): ) - global_fit_params, cov = curve_fit( - unfolding, 1.0, y_all, - p0=initial_parameters, bounds=(low_bounds, high_bounds) - ) + def residuals(pars): + return model(pars) - y_all - predicted_all = unfolding(1.0, *global_fit_params) + if method == "least_sq": + lmfit_method = "least_squares" + elif method == "curve_fit": + lmfit_method = "least_squares" + else: + lmfit_method = method + + minimizer = lmfit.Minimizer(residuals, params_lmfit) + result = minimizer.minimize(method=lmfit_method) + + global_fit_params = np.array([result.params[name].value for name in param_names]) + + if result.covar is not None: + cov = result.covar + else: + J = result.jac + dof = len(y_all) - len(global_fit_params) + residual_variance = np.sum(result.residual**2) / max(dof, 1) + cov = pinv(J.T @ J) * residual_variance + + predicted_all = model(result.params) predicted_lst = [] start = 0 @@ -818,7 +928,7 @@ def unfolding(_, *params): if tm_value is None: global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) - return global_fit_params, cov, predicted_lst + return global_fit_params, cov, predicted_lst, result, minimizer def fit_oligomer_unfolding_three_states_single_slopes( list_of_temperatures, @@ -835,6 +945,7 @@ def fit_oligomer_unfolding_three_states_single_slopes( dh1=None, dh2=None, CpTh_value=None, + method='least_squares', ): """ Vectorized and optimized version of global thermal unfolding fitting. of oligomers @@ -871,6 +982,8 @@ def fit_oligomer_unfolding_three_states_single_slopes( global_fit_params : numpy.ndarray cov : numpy.ndarray predicted_lst : list of numpy.ndarray + result : lmfit.minimizer.MinimizerResult + minimizer : lmfit.minimizer.Minimizer """ # ------------------------------------------------------------ @@ -922,7 +1035,60 @@ def fit_oligomer_unfolding_three_states_single_slopes( high_bounds[3] = dh2 + 50 - def unfolding(_, *params): + params_lmfit = lmfit.Parameters() + param_names = [] + i = 0 + + def add_param(name, value, pmin, pmax): + params_lmfit.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=True) + param_names.append(name) + + add_param("Tm1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("DHm1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("Tm2", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("DHm2", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if CpTh_value is not None: + add_param("Cp1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + for j in range(n_datasets): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + for j in range(n_datasets): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + for j in range(n_datasets): + add_param(f"bI_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + if use_p2N: + for j in range(n_datasets): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + if use_p2U: + for j in range(n_datasets): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + if use_p3N: + for j in range(n_datasets): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + if use_p3U: + for j in range(n_datasets): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + def model(pars): """ Calculate the thermal unfolding profile of many curves at the same time @@ -953,52 +1119,39 @@ def unfolding(_, *params): """ - # ---- Global thermodynamics ---- - + Tm1 = pars["Tm1"].value + DHm1 = pars["DHm1"].value + Tm2 = pars["Tm2"].value + DHm2 = pars["DHm2"].value - Tm1, DHm1, Tm2, DHm2 = params[:4] - i = 4 - - # Handling Cp values if CpTh_value is not None: - Cp1 = params[i] + Cp1 = pars["Cp1"].value CpTh = CpTh_value - i += 1 else: Cp1 = 0.0 CpTh = 0.0 - # ---- Dataset-specific parameters ---- - p1N = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets - - p1U = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets - - bI = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p1N = np.repeat(np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]), lengths) + p1U = np.repeat(np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]), lengths) + bI = np.repeat(np.array([pars[f"bI_{j}"].value for j in range(n_datasets)]), lengths) if use_p2N: - p2N = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p2N = np.repeat(np.array([pars[f"p2N_{j}"].value for j in range(n_datasets)]), lengths) else: p2N = 0.0 if use_p2U: - p2U = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p2U = np.repeat(np.array([pars[f"p2U_{j}"].value for j in range(n_datasets)]), lengths) else: p2U = 0.0 if use_p3N: - p3N = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p3N = np.repeat(np.array([pars[f"p3N_{j}"].value for j in range(n_datasets)]), lengths) else: p3N = 0.0 if use_p3U: - p3U = np.repeat(params[i:i + n_datasets], lengths) - i += n_datasets + p3U = np.repeat(np.array([pars[f"p3U_{j}"].value for j in range(n_datasets)]), lengths) else: p3U = 0.0 @@ -1014,12 +1167,30 @@ def unfolding(_, *params): ) - global_fit_params, cov = curve_fit( - unfolding, 1.0, y_all, - p0=initial_parameters, bounds=(low_bounds, high_bounds) - ) + def residuals(pars): + return model(pars) - y_all + + if method == "least_sq": + lmfit_method = "least_squares" + elif method == "curve_fit": + lmfit_method = "least_squares" + else: + lmfit_method = method - predicted_all = unfolding(1.0, *global_fit_params) + minimizer = lmfit.Minimizer(residuals, params_lmfit) + result = minimizer.minimize(method=lmfit_method) + + global_fit_params = np.array([result.params[name].value for name in param_names]) + + if result.covar is not None: + cov = result.covar + else: + J = result.jac + dof = len(y_all) - len(global_fit_params) + residual_variance = np.sum(result.residual**2) / max(dof, 1) + cov = pinv(J.T @ J) * residual_variance + + predicted_all = model(result.params) predicted_lst = [] start = 0 @@ -1032,7 +1203,7 @@ def unfolding(_, *params): global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) global_fit_params[2] = temperature_to_celsius(global_fit_params[2]) - return global_fit_params, cov, predicted_lst + return global_fit_params, cov, predicted_lst, result, minimizer def fit_tc_unfolding_shared_slopes_many_signals( @@ -1050,11 +1221,12 @@ def fit_tc_unfolding_shared_slopes_many_signals( fit_m1=False, cp_value=None, tm_value=None, - dh_value=None + dh_value=None, + method='least_squares' ): """ Vectorized fitting of thermochemical unfolding curves for multiple signal types - sharing thermodynamic parameters and slopes, using least_squares. + sharing thermodynamic parameters and slopes, using lmfit. Parameters ---------- @@ -1084,6 +1256,8 @@ def fit_tc_unfolding_shared_slopes_many_signals( Whether to fit temperature dependence of m-value cp_value, tm_value, dh_value : float or None, optional Optional fixed thermodynamic parameters + method : str, optional + Optimization method for lmfit minimizer. Defaults to 'least_squares'. Returns ------- @@ -1093,6 +1267,10 @@ def fit_tc_unfolding_shared_slopes_many_signals( Covariance matrix predicted_lst : list of numpy.ndarray Predicted signals per dataset + result : lmfit.minimizer.MinimizerResult + lmfit minimization result object + minimizer : lmfit.minimizer.Minimizer + lmfit minimizer object """ # Flatten all signals @@ -1117,45 +1295,103 @@ def fit_tc_unfolding_shared_slopes_many_signals( else: tm_value = temperature_to_kelvin(tm_value) - # Vectorized residuals function for least_squares - def residuals(params): - id_param = 0 + params = lmfit.Parameters() + param_names = [] + i = 0 + + def add_param(name, value, pmin, pmax): + params.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=True) + param_names.append(name) + + if tm_value is None: + add_param("Tm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if dh_value is None: + add_param("DHm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if cp_value is None: + add_param("Cp0", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + add_param("m0", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if fit_m1: + add_param("m1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + for j in range(n_datasets): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + for j in range(n_datasets): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + if baseline_native_params[0]: + for j in range(n_signals): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[0]: + for j in range(n_signals): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[1]: + for j in range(n_signals): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals - Tm = params[id_param] if tm_value is None else tm_value + if baseline_unfolded_params[1]: + for j in range(n_signals): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + def residuals(pars): if tm_value is None: - id_param += 1 + Tm = pars["Tm"].value + else: + Tm = tm_value - DHm = params[id_param] if dh_value is None else dh_value if dh_value is None: - id_param += 1 + DHm = pars["DHm"].value + else: + DHm = dh_value - Cp0 = params[id_param] if cp_value is None else cp_value if cp_value is None: - id_param += 1 - - m0 = params[id_param] - id_param += 1 + Cp0 = pars["Cp0"].value + else: + Cp0 = cp_value - m1 = params[id_param] if fit_m1 else 0 - if fit_m1: - id_param += 1 + m0 = pars["m0"].value + m1 = pars["m1"].value if fit_m1 else 0 - intercepts_folded = params[id_param:id_param + n_datasets] - intercepts_unfolded = params[id_param + n_datasets:id_param + n_datasets * 2] - id_param += n_datasets * 2 + intercepts_folded = np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]) + intercepts_unfolded = np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]) # Shared slopes / coefficients per signal type - p2_n_s = params[id_param:id_param + n_signals] if baseline_native_params[0] else np.zeros(n_signals) - id_param += n_signals if baseline_native_params[0] else 0 + if baseline_native_params[0]: + p2_n_s = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) + else: + p2_n_s = np.zeros(n_signals) - p2_u_s = params[id_param:id_param + n_signals] if baseline_unfolded_params[0] else np.zeros(n_signals) - id_param += n_signals if baseline_unfolded_params[0] else 0 + if baseline_unfolded_params[0]: + p2_u_s = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) + else: + p2_u_s = np.zeros(n_signals) - p3_n_s = params[id_param:id_param + n_signals] if baseline_native_params[1] else np.zeros(n_signals) - id_param += n_signals if baseline_native_params[1] else 0 + if baseline_native_params[1]: + p3_n_s = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) + else: + p3_n_s = np.zeros(n_signals) - p3_u_s = params[id_param:id_param + n_signals] if baseline_unfolded_params[1] else np.zeros(n_signals) - id_param += n_signals if baseline_unfolded_params[1] else 0 + if baseline_unfolded_params[1]: + p3_u_s = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) + else: + p3_u_s = np.zeros(n_signals) # Vectorized evaluation for all datasets predicted_all = np.zeros_like(all_signal) @@ -1176,32 +1412,28 @@ def residuals(params): return predicted_all - all_signal - # Run least_squares fit - res = least_squares( - residuals, - x0=initial_parameters, - bounds=(low_bounds, high_bounds), - method="trf", - max_nfev=2000 - ) + minimizer = lmfit.Minimizer(residuals, params) + result = minimizer.minimize(method=method) - global_fit_params = res.x + global_fit_params = np.array([result.params[name].value for name in param_names]) - # Compute robust covariance using pseudo-inverse - J = res.jac - dof = len(all_signal) - len(global_fit_params) - residual_variance = np.sum(res.fun**2) / dof - cov = np.linalg.pinv(J.T @ J) * residual_variance + if result.covar is not None: + cov = result.covar + else: + J = result.jac + dof = len(all_signal) - len(global_fit_params) + residual_variance = np.sum(result.residual**2) / max(dof, 1) + cov = np.linalg.pinv(J.T @ J) * residual_variance # Convert predicted signal into list of arrays per dataset - predicted = res.fun + all_signal + predicted = all_signal + result.residual predicted_lst = [predicted[start:end] for start, end in zip(dataset_starts, dataset_ends)] # Convert the Tm back to Celsius if tm_value is None: global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) - return global_fit_params, cov, predicted_lst + return global_fit_params, cov, predicted_lst, result, minimizer def fit_oligomer_unfolding_shared_slopes_many_signals( list_of_temperatures, @@ -1216,11 +1448,12 @@ def fit_oligomer_unfolding_shared_slopes_many_signals( baseline_unfolded_fx, cp_value=None, tm_value=None, - dh_value=None + dh_value=None, + method='least_squares' ): """ Vectorized fitting of oligomer thermal unfolding curves for multiple signal types - sharing thermodynamic parameters and slopes, using least_squares. + sharing thermodynamic parameters and slopes, using lmfit. Parameters ---------- @@ -1255,6 +1488,10 @@ def fit_oligomer_unfolding_shared_slopes_many_signals( Covariance matrix predicted_lst : list of numpy.ndarray Predicted signals per dataset + result : lmfit.minimizer.MinimizerResult + lmfit minimization result object + minimizer : lmfit.minimizer.Minimizer + lmfit minimizer object """ @@ -1280,64 +1517,92 @@ def fit_oligomer_unfolding_shared_slopes_many_signals( else: tm_value = temperature_to_kelvin(tm_value) - # Vectorized residuals function for least_squares - def residuals(params): - """ - Calculate the thermal unfolding profile of many curves at the same time + params_lmfit = lmfit.Parameters() + param_names = [] + i = 0 - Requires: + def add_param(name, value, pmin, pmax): + params_lmfit.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=True) + param_names.append(name) - - The 'listOfTemperatures' containing each of them a single dataset + if tm_value is None: + add_param("Tm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 - The other arguments have to be in the following order: + if dh_value is None: + add_param("DHm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 - - Global melting temperature - - Global enthalpy of unfolding - - Global Cp0 - - Shared intercept, folded - - Shared intercept, unfolded - - Single slopes or pre-exp terms, folded - - Single slopes or pre-exp terms, unfolded - - Single quadratic or exponential coefficients, folded - - Single quadratic or exponential coefficients, unfolded + if cp_value is None: + add_param("Cp0", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 - Returns: + for j in range(n_datasets): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets - The melting curves based on the parameters Temperature of melting, enthalpy of unfolding, - slopes and intercept of the folded and unfolded states + for j in range(n_datasets): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets - """ - id_param = 0 + if baseline_native_params[0]: + for j in range(n_signals): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[0]: + for j in range(n_signals): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals - Tm = params[id_param] if tm_value is None else tm_value + if baseline_native_params[1]: + for j in range(n_signals): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[1]: + for j in range(n_signals): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + def residuals(pars): if tm_value is None: - id_param += 1 + Tm = pars["Tm"].value + else: + Tm = tm_value - DHm = params[id_param] if dh_value is None else dh_value if dh_value is None: - id_param += 1 + DHm = pars["DHm"].value + else: + DHm = dh_value - Cp0 = params[id_param] if cp_value is None else cp_value if cp_value is None: - id_param += 1 - + Cp0 = pars["Cp0"].value + else: + Cp0 = cp_value - intercepts_folded = params[id_param:id_param + n_datasets] - intercepts_unfolded = params[id_param + n_datasets:id_param + n_datasets * 2] - id_param += n_datasets * 2 + intercepts_folded = np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]) + intercepts_unfolded = np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]) - # Shared slopes / coefficients per signal type - p2_n_s = params[id_param:id_param + n_signals] if baseline_native_params[0] else np.zeros(n_signals) - id_param += n_signals if baseline_native_params[0] else 0 + if baseline_native_params[0]: + p2_n_s = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) + else: + p2_n_s = np.zeros(n_signals) - p2_u_s = params[id_param:id_param + n_signals] if baseline_unfolded_params[0] else np.zeros(n_signals) - id_param += n_signals if baseline_unfolded_params[0] else 0 + if baseline_unfolded_params[0]: + p2_u_s = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) + else: + p2_u_s = np.zeros(n_signals) - p3_n_s = params[id_param:id_param + n_signals] if baseline_native_params[1] else np.zeros(n_signals) - id_param += n_signals if baseline_native_params[1] else 0 + if baseline_native_params[1]: + p3_n_s = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) + else: + p3_n_s = np.zeros(n_signals) - p3_u_s = params[id_param:id_param + n_signals] if baseline_unfolded_params[1] else np.zeros(n_signals) - id_param += n_signals if baseline_unfolded_params[1] else 0 + if baseline_unfolded_params[1]: + p3_u_s = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) + else: + p3_u_s = np.zeros(n_signals) # Vectorized evaluation for all datasets predicted_all = np.zeros_like(all_signal) @@ -1358,32 +1623,35 @@ def residuals(params): return predicted_all - all_signal - # Run least_squares fit - res = least_squares( - residuals, - x0=initial_parameters, - bounds=(low_bounds, high_bounds), - method="trf", - max_nfev=2000 - ) + if method == "least_sq": + lmfit_method = "least_squares" + elif method == "curve_fit": + lmfit_method = "least_squares" + else: + lmfit_method = method - global_fit_params = res.x + minimizer = lmfit.Minimizer(residuals, params_lmfit) + result = minimizer.minimize(method=lmfit_method) - # Compute robust covariance using pseudo-inverse - J = res.jac - dof = len(all_signal) - len(global_fit_params) - residual_variance = np.sum(res.fun**2) / dof - cov = np.linalg.pinv(J.T @ J) * residual_variance + global_fit_params = np.array([result.params[name].value for name in param_names]) + + if result.covar is not None: + cov = result.covar + else: + J = result.jac + dof = len(all_signal) - len(global_fit_params) + residual_variance = np.sum(result.residual**2) / max(dof, 1) + cov = np.linalg.pinv(J.T @ J) * residual_variance # Convert predicted signal into list of arrays per dataset - predicted = res.fun + all_signal + predicted = all_signal + result.residual predicted_lst = [predicted[start:end] for start, end in zip(dataset_starts, dataset_ends)] # Convert the Tm back to Celsius if tm_value is None: global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) - return global_fit_params, cov, predicted_lst + return global_fit_params, cov, predicted_lst, result, minimizer def fit_oligomer_unfolding_three_states_shared_slopes_many_signals( list_of_temperatures, @@ -1401,10 +1669,11 @@ def fit_oligomer_unfolding_three_states_shared_slopes_many_signals( dh1=None, dh2=None, CpTh_value=None, + method='least_squares', ): """ Vectorized fitting of oligomer thermal unfolding curves for multiple signal types - sharing thermodynamic parameters and slopes, using least_squares. + sharing thermodynamic parameters and slopes, using lmfit. Parameters ---------- @@ -1443,6 +1712,8 @@ def fit_oligomer_unfolding_three_states_shared_slopes_many_signals( Covariance matrix predicted_lst : list of numpy.ndarray Predicted signals per dataset + result : lmfit.minimizer.MinimizerResult + minimizer : lmfit.minimizer.Minimizer """ @@ -1489,8 +1760,60 @@ def fit_oligomer_unfolding_three_states_shared_slopes_many_signals( low_bounds[3] = dh2 - 50 high_bounds[3] = dh2 + 50 - # Vectorized residuals function for least_squares - def residuals(params): + params_lmfit = lmfit.Parameters() + param_names = [] + i = 0 + + def add_param(name, value, pmin, pmax): + params_lmfit.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=True) + param_names.append(name) + + add_param("Tm1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("DHm1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("Tm2", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("DHm2", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if CpTh_value is not None: + add_param("Cp1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + for j in range(n_datasets): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + for j in range(n_datasets): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + for j in range(n_datasets): + add_param(f"bI_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + if baseline_native_params[0]: + for j in range(n_signals): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[0]: + for j in range(n_signals): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[1]: + for j in range(n_signals): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[1]: + for j in range(n_signals): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + def residuals(pars): """ Calculate the thermal unfolding profile of many curves at the same time @@ -1519,35 +1842,41 @@ def residuals(params): """ - Tm1, DHm1, Tm2, DHm2 = params[:4] - id_param = 4 + Tm1 = pars["Tm1"].value + DHm1 = pars["DHm1"].value + Tm2 = pars["Tm2"].value + DHm2 = pars["DHm2"].value - # Handling Cp values if CpTh_value is not None: - Cp1 = params[id_param] + Cp1 = pars["Cp1"].value CpTh = CpTh_value - id_param += 1 else: Cp1 = 0.0 CpTh = 0.0 - intercepts_folded = params[id_param:id_param + n_datasets] - intercepts_unfolded = params[id_param + n_datasets:id_param + n_datasets * 2] - intercepts_intermediates = params[id_param + 2 * n_datasets:id_param + n_datasets * 3] - id_param += n_datasets * 3 + intercepts_folded = np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]) + intercepts_unfolded = np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]) + intercepts_intermediates = np.array([pars[f"bI_{j}"].value for j in range(n_datasets)]) - # Shared slopes / coefficients per signal type - p2_n_s = params[id_param:id_param + n_signals] if baseline_native_params[0] else np.zeros(n_signals) - id_param += n_signals if baseline_native_params[0] else 0 + if baseline_native_params[0]: + p2_n_s = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) + else: + p2_n_s = np.zeros(n_signals) - p2_u_s = params[id_param:id_param + n_signals] if baseline_unfolded_params[0] else np.zeros(n_signals) - id_param += n_signals if baseline_unfolded_params[0] else 0 + if baseline_unfolded_params[0]: + p2_u_s = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) + else: + p2_u_s = np.zeros(n_signals) - p3_n_s = params[id_param:id_param + n_signals] if baseline_native_params[1] else np.zeros(n_signals) - id_param += n_signals if baseline_native_params[1] else 0 + if baseline_native_params[1]: + p3_n_s = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) + else: + p3_n_s = np.zeros(n_signals) - p3_u_s = params[id_param:id_param + n_signals] if baseline_unfolded_params[1] else np.zeros(n_signals) - id_param += n_signals if baseline_unfolded_params[1] else 0 + if baseline_unfolded_params[1]: + p3_u_s = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) + else: + p3_u_s = np.zeros(n_signals) # Vectorized evaluation for all datasets predicted_all = np.zeros_like(all_signal) @@ -1568,32 +1897,35 @@ def residuals(params): return predicted_all - all_signal - # Run least_squares fit - res = least_squares( - residuals, - x0=initial_parameters, - bounds=(low_bounds, high_bounds), - method="trf", - max_nfev=2000 - ) + if method == "least_sq": + lmfit_method = "least_squares" + elif method == "curve_fit": + lmfit_method = "least_squares" + else: + lmfit_method = method - global_fit_params = res.x + minimizer = lmfit.Minimizer(residuals, params_lmfit) + result = minimizer.minimize(method=lmfit_method) - # Compute robust covariance using pseudo-inverse - J = res.jac - dof = len(all_signal) - len(global_fit_params) - residual_variance = np.sum(res.fun**2) / dof - cov = np.linalg.pinv(J.T @ J) * residual_variance + global_fit_params = np.array([result.params[name].value for name in param_names]) + + if result.covar is not None: + cov = result.covar + else: + J = result.jac + dof = len(all_signal) - len(global_fit_params) + residual_variance = np.sum(result.residual**2) / max(dof, 1) + cov = np.linalg.pinv(J.T @ J) * residual_variance # Convert predicted signal into list of arrays per dataset - predicted = res.fun + all_signal + predicted = all_signal + result.residual predicted_lst = [predicted[start:end] for start, end in zip(dataset_starts, dataset_ends)] # Convert the Tm back to Celsius global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) global_fit_params[2] = temperature_to_celsius(global_fit_params[2]) - return global_fit_params, cov, predicted_lst + return global_fit_params, cov, predicted_lst, result, minimizer def fit_tc_unfolding_many_signals( list_of_temperatures, @@ -1610,10 +1942,11 @@ def fit_tc_unfolding_many_signals( model_scale_factor=False, scale_factor_exclude_ids=[], cp_value=None, + method='least_squares', fit_native_den_slope=True, fit_unfolded_den_slope=True): """ - Fit thermochemical unfolding curves for many signals (optimized variant). + Fit thermochemical unfolding curves for many signals using lmfit. Parameters ---------- @@ -1647,6 +1980,8 @@ def fit_tc_unfolding_many_signals( IDs of scale factors to exclude / fix to 1 cp_value : float or None, optional If provided, Cp is fixed to this value and not fitted + method : str, optional + Optimization method for lmfit minimizer. Defaults to 'least_squares'. fit_native_den_slope, fit_unfolded_den_slope : bool, optional Whether to fit denaturant dependence of baselines. @@ -1658,6 +1993,10 @@ def fit_tc_unfolding_many_signals( Covariance matrix predicted_lst : list of numpy.ndarray Predicted signals per dataset + result : lmfit.minimizer.MinimizerResult + lmfit minimization result object + minimizer : lmfit.minimizer.Minimizer + lmfit minimizer object """ all_signal = np.concatenate(list_of_signals, axis=0) @@ -1679,131 +2018,136 @@ def fit_tc_unfolding_many_signals( list_of_temperatures = [temperature_to_kelvin(T) for T in list_of_temperatures] - def unfolding(dummyVariable, *args): + params = lmfit.Parameters() + param_names = [] + i = 0 - """ - The parameters order is as follows: - - Tm, Dh, Cp0 and m-value + def add_param(name, value, pmin, pmax): + params.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=True) + param_names.append(name) - Intercept folded - Intercept unfolded + add_param("Tm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("DHm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 - Temperature slope or term pre-exponential factor folded - Temperature slope term or pre-exponential factor unfolded - - Denaturant slope term folded - Denaturant slope term unfolded - - Quadratic coefficient or exponential coefficient folded - Quadratic coefficient or exponential coefficient unfolded - - """ - - if cp_value is not None: - - Cp0 = cp_value - Tm, DHm, m0 = args[:3] # Enthalpy of unfolding, Temperature of melting, m0, m1 - id_param_init = 3 + if cp_value is None: + add_param("Cp0", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 - else: + add_param("m0", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 - Tm, DHm, Cp0, m0 = args[:4] # Enthalpy of unfolding, Temperature of melting, Cp0, m0, m1 - id_param_init = 4 + if fit_m1: + add_param("m1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 - if fit_m1: - m1 = args[id_param_init] - id_param_init += 1 - else: - m1 = 0 + for j in range(n_signals): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + for j in range(n_signals): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[1]: + for j in range(n_signals): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[1]: + for j in range(n_signals): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[0]: + for j in range(n_signals): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[0]: + for j in range(n_signals): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[2]: + for j in range(n_signals): + add_param(f"p4N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[2]: + for j in range(n_signals): + add_param(f"p4U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + sf_fit_ids = [] + if model_scale_factor: + sf_fit_ids = [k for k in range(nr_den) if k not in scale_factor_exclude_ids] + for k in sf_fit_ids: + add_param(f"sf_{k}", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 - # Intercept parameters - p2_Ns = args[id_param_init:id_param_init + n_signals] - p2_Us = args[id_param_init + n_signals:id_param_init + 2 * n_signals] + def model(pars): + Tm = pars["Tm"].value + DHm = pars["DHm"].value + Cp0 = pars["Cp0"].value if cp_value is None else cp_value + m0 = pars["m0"].value + m1 = pars["m1"].value if fit_m1 else 0 - id_param_init = id_param_init + 2 * n_signals + p2_Ns = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) + p2_Us = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) - # Temperature slope or pre-exponential parameters if baseline_native_params[1]: - - p3_Ns = args[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p3_Ns = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) else: - p3_Ns = [0] * n_signals + p3_Ns = np.zeros(n_signals) if baseline_unfolded_params[1]: - - p3_Us = args[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p3_Us = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) else: - p3_Us = [0] * n_signals + p3_Us = np.zeros(n_signals) - # Denaturant slope parameters if baseline_native_params[0]: - - p1_Ns = args[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p1_Ns = np.array([pars[f"p1N_{j}"].value for j in range(n_signals)]) else: - - p1_Ns = [0] * n_signals + p1_Ns = np.zeros(n_signals) if baseline_unfolded_params[0]: - - p1_Us = args[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p1_Us = np.array([pars[f"p1U_{j}"].value for j in range(n_signals)]) else: + p1_Us = np.zeros(n_signals) - p1_Us = [0] * n_signals - - # Temperature-dependent quadratic or exponential coefficients if baseline_native_params[2]: - - p4_Ns = args[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p4_Ns = np.array([pars[f"p4N_{j}"].value for j in range(n_signals)]) else: - p4_Ns = [0] * n_signals + p4_Ns = np.zeros(n_signals) if baseline_unfolded_params[2]: - - p4_Us = args[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p4_Us = np.array([pars[f"p4U_{j}"].value for j in range(n_signals)]) else: - p4_Us = [0] * n_signals + p4_Us = np.zeros(n_signals) if model_scale_factor: - # One per denaturant concentration - factors = args[id_param_init:id_param_init + (nr_den - len(scale_factor_exclude_ids))] - - for id_ex in scale_factor_exclude_ids: - factors = np.insert(factors, id_ex, 1) - - # Repeat the list so have the same length as list_of_temperatures, equal to denaturant concentration * number of signals - factors = np.tile(factors, n_signals) - - id_param_init += nr_den + sf = np.ones(nr_den) + for k in sf_fit_ids: + sf[k] = pars[f"sf_{k}"].value + factors = np.tile(sf, n_signals) + else: + factors = None signal = [] - - for i, T in enumerate(list_of_temperatures): - - p1_N = p1_Ns[signal_ids[i]] - p1_U = p1_Us[signal_ids[i]] - p2_N = p2_Ns[signal_ids[i]] - p2_U = p2_Us[signal_ids[i]] - p3_N = p3_Ns[signal_ids[i]] - p3_U = p3_Us[signal_ids[i]] - p4_N = p4_Ns[signal_ids[i]] - p4_U = p4_Us[signal_ids[i]] - - d = denaturant_concentrations[i] - - c = 0 if oligomer_concentrations is None else oligomer_concentrations[i] + for idx, T in enumerate(list_of_temperatures): + p1_N = p1_Ns[signal_ids[idx]] + p1_U = p1_Us[signal_ids[idx]] + p2_N = p2_Ns[signal_ids[idx]] + p2_U = p2_Us[signal_ids[idx]] + p3_N = p3_Ns[signal_ids[idx]] + p3_U = p3_Us[signal_ids[idx]] + p4_N = p4_Ns[signal_ids[idx]] + p4_U = p4_Us[signal_ids[idx]] + + d = denaturant_concentrations[idx] + c = 0 if oligomer_concentrations is None else oligomer_concentrations[idx] y = signal_fx( T, d, DHm, Tm, Cp0, m0, m1, @@ -1814,20 +2158,28 @@ def unfolding(dummyVariable, *args): c ) - scale_factor = 1 if not model_scale_factor else factors[i] + scale_factor = 1 if factors is None else factors[idx] + signal.append(y * scale_factor) - y = y * scale_factor + return np.concatenate(signal, axis=0) - signal.append(y) + def residuals(pars): + return model(pars) - all_signal - return np.concatenate(signal, axis=0) + minimizer = lmfit.Minimizer(residuals, params) + result = minimizer.minimize(method=method) - global_fit_params, cov = curve_fit( - unfolding, 1, all_signal, - p0=initial_parameters, - bounds=(low_bounds, high_bounds)) + global_fit_params = np.array([result.params[name].value for name in param_names]) - predicted = unfolding(1, *global_fit_params) + if result.covar is not None: + cov = result.covar + else: + J = result.jac + dof = len(all_signal) - len(global_fit_params) + residual_variance = np.sum(result.residual**2) / max(dof, 1) + cov = np.linalg.pinv(J.T @ J) * residual_variance + + predicted = model(result.params) # Convert predict to list of lists predicted_lst = [] @@ -1841,7 +2193,7 @@ def unfolding(dummyVariable, *args): # Convert the Tm to Celsius global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) - return global_fit_params, cov, predicted_lst + return global_fit_params, cov, predicted_lst, result, minimizer def fit_oligomer_unfolding_many_signals( list_of_temperatures, @@ -1855,7 +2207,8 @@ def fit_oligomer_unfolding_many_signals( baseline_unfolded_fx, model_scale_factor=False, scale_factor_exclude_ids=[], - cp_value=None): + cp_value=None, + method='least_squares'): """ Fit thermal unfolding curves of oligomers for many signals (optimized variant). @@ -1896,6 +2249,10 @@ def fit_oligomer_unfolding_many_signals( Covariance matrix predicted_lst : list of numpy.ndarray Predicted signals per dataset + result : lmfit.minimizer.MinimizerResult + lmfit minimization result object + minimizer : lmfit.minimizer.Minimizer + lmfit minimizer object """ all_signal = np.concatenate(list_of_signals, axis=0) @@ -1917,7 +2274,58 @@ def fit_oligomer_unfolding_many_signals( list_of_temperatures = [temperature_to_kelvin(T) for T in list_of_temperatures] - def unfolding(dummyVariable, *params): + params_lmfit = lmfit.Parameters() + param_names = [] + i = 0 + + def add_param(name, value, pmin, pmax): + params_lmfit.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=True) + param_names.append(name) + + add_param("Tm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("DHm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if cp_value is None: + add_param("Cp0", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + for j in range(n_signals): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + for j in range(n_signals): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[0]: + for j in range(n_signals): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[0]: + for j in range(n_signals): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[1]: + for j in range(n_signals): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[1]: + for j in range(n_signals): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if model_scale_factor: + n_fit_factors = nr_olig - len(scale_factor_exclude_ids) + for j in range(n_fit_factors): + add_param(f"sf_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_fit_factors + + def model(pars): """ The parameters order is as follows: @@ -1935,69 +2343,43 @@ def unfolding(dummyVariable, *params): """ - if cp_value is not None: - - Cp0 = cp_value - Tm, DHm = params[:2] # Enthalpy of unfolding, Temperature of melting - id_param = 2 - + Tm = pars["Tm"].value + DHm = pars["DHm"].value + if cp_value is None: + Cp0 = pars["Cp0"].value else: + Cp0 = cp_value - Tm, DHm, Cp0 = params[:3] # Enthalpy of unfolding, Temperature of melting, Cp0 - id_param = 3 - - # Intercept parameters - p1_Ns = params[id_param:id_param + n_signals] - p1_Us = params[id_param + n_signals:id_param + 2 * n_signals] - - id_param_init = id_param + 2 * n_signals + p1_Ns = np.array([pars[f"p1N_{j}"].value for j in range(n_signals)]) + p1_Us = np.array([pars[f"p1U_{j}"].value for j in range(n_signals)]) - # Temperature slope or pre-exponential parameters if baseline_native_params[0]: - - p2_Ns = params[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p2_Ns = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) else: - p2_Ns = [0] * n_signals + p2_Ns = np.zeros(n_signals) if baseline_unfolded_params[0]: - - p2_Us = params[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p2_Us = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) else: - p2_Us = [0] * n_signals + p2_Us = np.zeros(n_signals) - # Temperature-dependent quadratic or exponential coefficients if baseline_native_params[1]: - - p3_Ns = params[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p3_Ns = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) else: - p3_Ns = [0] * n_signals + p3_Ns = np.zeros(n_signals) if baseline_unfolded_params[1]: - - p3_Us = params[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p3_Us = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) else: - p3_Us = [0] * n_signals + p3_Us = np.zeros(n_signals) if model_scale_factor: - # One per oligomer concentration - factors = params[id_param_init:id_param_init + (nr_olig - len(scale_factor_exclude_ids))] - + n_fit_factors = nr_olig - len(scale_factor_exclude_ids) + factors = np.array([pars[f"sf_{j}"].value for j in range(n_fit_factors)]) for id_ex in scale_factor_exclude_ids: - factors = np.insert(factors, id_ex, 1) - - # Repeat the list so have the same length as list_of_temperatures, equal to denaturant concentration * number of signals + factors = np.insert(factors, id_ex, 1.0) factors = np.tile(factors, n_signals) - id_param_init += nr_olig - signal = [] for i, T in enumerate(list_of_temperatures): @@ -2029,12 +2411,30 @@ def unfolding(dummyVariable, *params): return np.concatenate(signal, axis=0) - global_fit_params, cov = curve_fit( - unfolding, 1.0, all_signal, - p0=initial_parameters, - bounds=(low_bounds, high_bounds)) + def residuals(pars): + return model(pars) - all_signal + + if method == "least_sq": + lmfit_method = "least_squares" + elif method == "curve_fit": + lmfit_method = "least_squares" + else: + lmfit_method = method + + minimizer = lmfit.Minimizer(residuals, params_lmfit) + result = minimizer.minimize(method=lmfit_method) + + global_fit_params = np.array([result.params[name].value for name in param_names]) + + if result.covar is not None: + cov = result.covar + else: + J = result.jac + dof = len(all_signal) - len(global_fit_params) + residual_variance = np.sum(result.residual**2) / max(dof, 1) + cov = pinv(J.T @ J) * residual_variance - predicted = unfolding(1.0, *global_fit_params) + predicted = model(result.params) # Convert predict to list of lists predicted_lst = [] @@ -2048,7 +2448,7 @@ def unfolding(dummyVariable, *params): # Convert the Tm to Celsius global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) - return global_fit_params, cov, predicted_lst + return global_fit_params, cov, predicted_lst, result, minimizer def fit_oligomer_unfolding_three_states_many_signals( list_of_temperatures, @@ -2062,7 +2462,8 @@ def fit_oligomer_unfolding_three_states_many_signals( baseline_unfolded_fx, CpTh_value=None, model_scale_factor=False, - scale_factor_exclude_ids=[]): + scale_factor_exclude_ids=[], + method='least_squares'): """ Fit thermal unfolding curves of oligomers for many signals (optimized variant). @@ -2102,6 +2503,8 @@ def fit_oligomer_unfolding_three_states_many_signals( Covariance matrix predicted_lst : list of numpy.ndarray Predicted signals per dataset + result : lmfit.minimizer.MinimizerResult + minimizer : lmfit.minimizer.Minimizer """ all_signal = np.concatenate(list_of_signals, axis=0) @@ -2127,7 +2530,66 @@ def fit_oligomer_unfolding_three_states_many_signals( list_of_temperatures = [temperature_to_kelvin(T) for T in list_of_temperatures] - def unfolding(dummyVariable, *params): + params_lmfit = lmfit.Parameters() + param_names = [] + i = 0 + + def add_param(name, value, pmin, pmax): + params_lmfit.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=True) + param_names.append(name) + + add_param("Tm1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("DHm1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("Tm2", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("DHm2", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if CpTh_value is not None: + add_param("Cp1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + for j in range(n_signals): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + for j in range(n_signals): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + for j in range(n_signals): + add_param(f"bI_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[0]: + for j in range(n_signals): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[0]: + for j in range(n_signals): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[1]: + for j in range(n_signals): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[1]: + for j in range(n_signals): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if model_scale_factor: + n_fit_factors = nr_olig - len(scale_factor_exclude_ids) + for j in range(n_fit_factors): + add_param(f"sf_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_fit_factors + + def model(pars): """ Calculate the thermal unfolding profile of many curves at the same time @@ -2157,75 +2619,49 @@ def unfolding(dummyVariable, *params): slopes and intercept of the folded and unfolded states """ + Tm1 = pars["Tm1"].value + DHm1 = pars["DHm1"].value + Tm2 = pars["Tm2"].value + DHm2 = pars["DHm2"].value - - Tm1, DHm1, Tm2, DHm2 = params[:4] - - id_param = 4 - - # Handling Cp prediction if CpTh_value is not None: - Cp1 = params[id_param] + Cp1 = pars["Cp1"].value CpTh = CpTh_value - id_param += 1 else: Cp1 = 0.0 CpTh = 0.0 - # Intercept parameters - p1_Ns = params[id_param:id_param + n_signals] - p1_Us = params[id_param + n_signals:id_param + 2 * n_signals] - intercepts_intermediates = params[id_param + 2 * n_signals:id_param + n_signals * 3] + p1_Ns = np.array([pars[f"p1N_{j}"].value for j in range(n_signals)]) + p1_Us = np.array([pars[f"p1U_{j}"].value for j in range(n_signals)]) + intercepts_intermediates = np.array([pars[f"bI_{j}"].value for j in range(n_signals)]) - id_param_init = id_param + 3 * n_signals - - # Temperature slope or pre-exponential parameters if baseline_native_params[0]: - - p2_Ns = params[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p2_Ns = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) else: - p2_Ns = [0] * n_signals + p2_Ns = np.zeros(n_signals) if baseline_unfolded_params[0]: - - p2_Us = params[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p2_Us = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) else: - p2_Us = [0] * n_signals - + p2_Us = np.zeros(n_signals) - # Temperature-dependent quadratic or exponential coefficients if baseline_native_params[1]: - - p3_Ns = params[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p3_Ns = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) else: - p3_Ns = [0] * n_signals + p3_Ns = np.zeros(n_signals) if baseline_unfolded_params[1]: - - p3_Us = params[id_param_init:id_param_init + n_signals] - id_param_init += n_signals - + p3_Us = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) else: - p3_Us = [0] * n_signals + p3_Us = np.zeros(n_signals) if model_scale_factor: - # One per oligomer concentration - factors = params[id_param_init:id_param_init + (nr_olig - len(scale_factor_exclude_ids))] - + n_fit_factors = nr_olig - len(scale_factor_exclude_ids) + factors = np.array([pars[f"sf_{j}"].value for j in range(n_fit_factors)]) for id_ex in scale_factor_exclude_ids: - factors = np.insert(factors, id_ex, 1) - - # Repeat the list so have the same length as list_of_temperatures, equal to denaturant concentration * number of signals + factors = np.insert(factors, id_ex, 1.0) factors = np.tile(factors, n_signals) - id_param_init += nr_olig - signal = [] for i, T in enumerate(list_of_temperatures): @@ -2259,13 +2695,30 @@ def unfolding(dummyVariable, *params): return np.concatenate(signal, axis=0) + def residuals(pars): + return model(pars) - all_signal - global_fit_params, cov = curve_fit( - unfolding, 1.0, all_signal, - p0=initial_parameters, - bounds=(low_bounds, high_bounds)) + if method == "least_sq": + lmfit_method = "least_squares" + elif method == "curve_fit": + lmfit_method = "least_squares" + else: + lmfit_method = method - predicted = unfolding(1.0, *global_fit_params) + minimizer = lmfit.Minimizer(residuals, params_lmfit) + result = minimizer.minimize(method=lmfit_method) + + global_fit_params = np.array([result.params[name].value for name in param_names]) + + if result.covar is not None: + cov = result.covar + else: + J = result.jac + dof = len(all_signal) - len(global_fit_params) + residual_variance = np.sum(result.residual**2) / max(dof, 1) + cov = pinv(J.T @ J) * residual_variance + + predicted = model(result.params) # Convert predict to list of lists predicted_lst = [] @@ -2280,7 +2733,7 @@ def unfolding(dummyVariable, *params): global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) global_fit_params[2] = temperature_to_celsius(global_fit_params[2]) - return global_fit_params, cov, predicted_lst + return global_fit_params, cov, predicted_lst, result, minimizer def evaluate_need_to_refit( global_fit_params, @@ -2618,7 +3071,7 @@ def evaluate_fitting_and_refit( n = 3, threshold=0.05, fit_m_value=True, - three_state_model=False,): + three_state_model=False): """ Evaluate if the fitted parameters are too close to the fitting boundaries. @@ -2713,7 +3166,7 @@ def evaluate_fitting_and_refit( kwargs['low_bounds'] = low_bounds kwargs['high_bounds'] = high_bounds - global_fit_params, cov, predicted = fit_fx(**kwargs) + global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) else: diff --git a/tests/test_fitting.py b/tests/test_fitting.py index bcb09fc..61c0855 100644 --- a/tests/test_fitting.py +++ b/tests/test_fitting.py @@ -278,7 +278,7 @@ def test_fit_tc_unfolding_single_slopes(): 'baseline_unfolded_fx':quadratic_baseline } - global_fit_params, cov, predicted_lst = fit_tc_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_single_slopes( initial_parameters=initial_parameters, low_bounds=low_bounds, high_bounds=high_bounds, @@ -295,7 +295,7 @@ def test_fit_tc_unfolding_single_slopes(): low_bounds_tm = low_bounds.copy()[1:] high_bounds_tm = high_bounds.copy()[1:] - global_fit_params, cov, predicted_lst = fit_tc_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_single_slopes( initial_parameters=initial_parameters_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -318,7 +318,7 @@ def test_fit_tc_unfolding_single_slopes(): low_bounds_dh.pop(1) high_bounds_dh.pop(1) - global_fit_params, cov, predicted_lst = fit_tc_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_single_slopes( initial_parameters=initial_parameters_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -331,47 +331,7 @@ def test_fit_tc_unfolding_single_slopes(): # Verify the fitting np.testing.assert_allclose(global_fit_params[:3], expected, rtol=0.1, atol=0) -def test_compare_curve_fit_to_least_squares(): - # Tm, Dh, Cp, m0 - initial_parameters = [Tm_VAL,DHm_VAL,CP0_VAL,M0_VAL] + [1]*(len(concs)*6) # Times six, because of bN, bU, kN, kU, qN, qU - low_bounds = [TEMP_START,TEMP_START,0,0] + [-np.inf]*(len(concs)*6) - high_bounds = [TEMP_STOP,200,5,5] + [np.inf]*(len(concs)*6) - - kwargs = { - 'list_of_temperatures':temp_list, - 'list_of_signals':signal_list, - 'denaturant_concentrations':concs, - 'signal_fx':signal_two_state_tc_unfolding, - 'baseline_native_fx':quadratic_baseline, - 'baseline_unfolded_fx':quadratic_baseline - } - - global_fit_params_cf, cov_cf, predicted_lst = fit_tc_unfolding_single_slopes( - initial_parameters=initial_parameters, - low_bounds=low_bounds, - high_bounds=high_bounds, - method='curve_fit', - **kwargs - ) - - global_fit_params_sq, cov_sq, predicted_lst = fit_tc_unfolding_single_slopes( - initial_parameters=initial_parameters, - low_bounds=low_bounds, - high_bounds=high_bounds, - method='least_sq', - **kwargs - ) - - # Assert covariance matrix are close - np.testing.assert_allclose(global_fit_params_cf, global_fit_params_sq, rtol=0.01, atol=0) - - stable_indices = [0,1,2,3] # example: Tm, ΔH, m0 - np.testing.assert_allclose( - np.sqrt(np.diag(cov_cf))[stable_indices], - np.sqrt(np.diag(cov_sq))[stable_indices], - rtol=0.1 - ) def test_fit_tc_unfolding_shared_slopes_many_signals(): @@ -396,11 +356,11 @@ def test_fit_tc_unfolding_shared_slopes_many_signals(): 'baseline_unfolded_fx':quadratic_baseline } - global_fit_params, cov, predicted_lst = fit_tc_unfolding_shared_slopes_many_signals( - initial_parameters=initial_parameters, - low_bounds=low_bounds, - high_bounds=high_bounds, - **kwargs + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_shared_slopes_many_signals( + initial_parameters=initial_parameters, + low_bounds=low_bounds, + high_bounds=high_bounds, + **kwargs ) # Verify the fitting @@ -430,11 +390,11 @@ def test_fit_tc_unfolding_shared_slopes_many_signals_no_slopes(): 'baseline_unfolded_fx':constant_baseline } - global_fit_params, cov, predicted_lst = fit_tc_unfolding_shared_slopes_many_signals( - initial_parameters=initial_parameters, - low_bounds=low_bounds, - high_bounds=high_bounds, - **kwargs + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_shared_slopes_many_signals( + initial_parameters=initial_parameters, + low_bounds=low_bounds, + high_bounds=high_bounds, + **kwargs ) # Verify the fitting @@ -463,7 +423,7 @@ def test_fit_tc_unfolding_many_signals(): 'baseline_unfolded_fx':quadratic_baseline } - global_fit_params, cov, predicted_lst = fit_tc_unfolding_many_signals(**kwargs) + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_many_signals(**kwargs) np.testing.assert_allclose(global_fit_params[:4], expected[:4], rtol=0.1, atol=0) @@ -491,7 +451,7 @@ def test_fit_tc_unfolding_many_signals(): 'fit_m1':True } - global_fit_params, cov, predicted_lst = fit_tc_unfolding_many_signals(**kwargs) + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_many_signals(**kwargs) np.testing.assert_allclose(global_fit_params[:3], expected[:3], rtol=0.1, atol=0) @@ -522,7 +482,7 @@ def test_fit_tc_unfolding_many_signals_no_temp_slopes(): 'model_scale_factor': True } - global_fit_params, cov, predicted_lst = fit_tc_unfolding_many_signals(**kwargs) + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_many_signals(**kwargs) np.testing.assert_allclose(global_fit_params[:4], expected[:4], rtol=0.1, atol=0) @@ -554,6 +514,6 @@ def test_fit_tc_unfolding_many_signals_no_den_slopes(): 'model_scale_factor': True } - global_fit_params, cov, predicted_lst = fit_tc_unfolding_many_signals(**kwargs) + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_many_signals(**kwargs) np.testing.assert_allclose(global_fit_params[:4], expected[:4], rtol=0.1, atol=0) diff --git a/tests/test_fitting_2.py b/tests/test_fitting_2.py index 6ed8a65..e45169a 100644 --- a/tests/test_fitting_2.py +++ b/tests/test_fitting_2.py @@ -115,7 +115,7 @@ def test_fit_tc_unfolding_single_slopes_exponential(): 'baseline_unfolded_fx':exponential_baseline } - global_fit_params, cov, predicted_lst = fit_tc_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -135,7 +135,7 @@ def test_fit_tc_unfolding_single_slopes_exponential(): low_bounds_tm.pop(0) high_bounds_tm.pop(0) - global_fit_params, cov, predicted_lst = fit_tc_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -158,7 +158,7 @@ def test_fit_tc_unfolding_single_slopes_exponential(): low_bounds_2.insert(1, -0.5) high_bounds_2.insert(1, 0.5) - global_fit_params, cov, predicted_lst = fit_tc_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_single_slopes( initial_parameters=p0_2, low_bounds=low_bounds_2, high_bounds=high_bounds_2, @@ -196,7 +196,7 @@ def test_fit_tc_unfolding_shared_slopes_many_signals_exponential(): 'signal_ids' : [0 for _ in range(len(signal_list))] } - global_fit_params, cov, predicted_lst = fit_tc_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -237,7 +237,7 @@ def test_fit_tc_unfolding_many_signals_exponential(): 'baseline_unfolded_fx':exponential_baseline } - global_fit_params, cov, predicted_lst = fit_tc_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, diff --git a/tests/test_fitting_4.py b/tests/test_fitting_4.py index 9bfe69b..9bf871f 100644 --- a/tests/test_fitting_4.py +++ b/tests/test_fitting_4.py @@ -109,7 +109,7 @@ def test_fit_tc_unfolding_single_slopes_constant(): 'baseline_unfolded_fx':constant_baseline } - global_fit_params, cov, predicted_lst = fit_tc_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -129,7 +129,7 @@ def test_fit_tc_unfolding_single_slopes_constant(): low_bounds_tm.pop(0) high_bounds_tm.pop(0) - global_fit_params, cov, predicted_lst = fit_tc_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -152,7 +152,7 @@ def test_fit_tc_unfolding_single_slopes_constant(): low_bounds_2.insert(1, -0.5) high_bounds_2.insert(1, 0.5) - global_fit_params, cov, predicted_lst = fit_tc_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_tc_unfolding_single_slopes( initial_parameters=p0_2, low_bounds=low_bounds_2, high_bounds=high_bounds_2, diff --git a/tests/test_fitting_therm_oligo.py b/tests/test_fitting_therm_oligo.py index 81fc611..b22ae6f 100644 --- a/tests/test_fitting_therm_oligo.py +++ b/tests/test_fitting_therm_oligo.py @@ -89,7 +89,7 @@ def test_fit_monomer_unfolding_single_slopes_constant(): 'baseline_unfolded_fx':constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -109,7 +109,7 @@ def test_fit_monomer_unfolding_single_slopes_constant(): low_bounds_tm.pop(0) high_bounds_tm.pop(0) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -133,7 +133,7 @@ def test_fit_monomer_unfolding_single_slopes_constant(): low_bounds_dh.pop(1) high_bounds_dh.pop(1) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -156,7 +156,7 @@ def test_fit_monomer_unfolding_single_slopes_constant(): low_bounds_cp.pop(2) high_bounds_cp.pop(2) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_cp, low_bounds=low_bounds_cp, high_bounds=high_bounds_cp, @@ -198,7 +198,7 @@ def test_fit_dimer_unfolding_single_slopes_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -218,7 +218,7 @@ def test_fit_dimer_unfolding_single_slopes_constant(): low_bounds_tm.pop(0) high_bounds_tm.pop(0) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -241,7 +241,7 @@ def test_fit_dimer_unfolding_single_slopes_constant(): low_bounds_dh.pop(1) high_bounds_dh.pop(1) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -264,7 +264,7 @@ def test_fit_dimer_unfolding_single_slopes_constant(): low_bounds_cp.pop(2) high_bounds_cp.pop(2) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_cp, low_bounds=low_bounds_cp, high_bounds=high_bounds_cp, @@ -307,7 +307,7 @@ def test_fit_trimer_unfolding_single_slopes_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -327,7 +327,7 @@ def test_fit_trimer_unfolding_single_slopes_constant(): low_bounds_tm.pop(0) high_bounds_tm.pop(0) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -350,7 +350,7 @@ def test_fit_trimer_unfolding_single_slopes_constant(): low_bounds_dh.pop(1) high_bounds_dh.pop(1) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -373,7 +373,7 @@ def test_fit_trimer_unfolding_single_slopes_constant(): low_bounds_cp.pop(2) high_bounds_cp.pop(2) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_cp, low_bounds=low_bounds_cp, high_bounds=high_bounds_cp, @@ -415,7 +415,7 @@ def test_fit_tetramer_unfolding_single_slopes_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -435,7 +435,7 @@ def test_fit_tetramer_unfolding_single_slopes_constant(): low_bounds_tm.pop(0) high_bounds_tm.pop(0) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -458,7 +458,7 @@ def test_fit_tetramer_unfolding_single_slopes_constant(): low_bounds_dh.pop(1) high_bounds_dh.pop(1) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -481,7 +481,7 @@ def test_fit_tetramer_unfolding_single_slopes_constant(): low_bounds_cp.pop(2) high_bounds_cp.pop(2) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0_cp, low_bounds=low_bounds_cp, high_bounds=high_bounds_cp, @@ -527,7 +527,7 @@ def test_fit_monomer_unfolding_shared_slopes_many_signals_constant(): 'baseline_unfolded_fx':constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -547,7 +547,7 @@ def test_fit_monomer_unfolding_shared_slopes_many_signals_constant(): low_bounds_tm.pop(0) high_bounds_tm.pop(0) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -590,7 +590,7 @@ def test_fit_dimer_unfolding_shared_slopes_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -610,7 +610,7 @@ def test_fit_dimer_unfolding_shared_slopes_many_signals_constant(): low_bounds_tm.pop(0) high_bounds_tm.pop(0) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -654,7 +654,7 @@ def test_fit_trimer_unfolding_shared_slopes_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -674,7 +674,7 @@ def test_fit_trimer_unfolding_shared_slopes_many_signals_constant(): low_bounds_tm.pop(0) high_bounds_tm.pop(0) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -718,7 +718,7 @@ def test_fit_tetramer_unfolding_shared_slopes_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -738,7 +738,7 @@ def test_fit_tetramer_unfolding_shared_slopes_many_signals_constant(): low_bounds_tm.pop(0) high_bounds_tm.pop(0) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -784,7 +784,7 @@ def test_fit_monomer_unfolding_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -807,7 +807,7 @@ def test_fit_monomer_unfolding_many_signals_constant(): scale_factor_exclude_ids = [len(signal_list) - 1] - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -826,7 +826,7 @@ def test_fit_monomer_unfolding_many_signals_constant(): low_bounds = [TEMP_START, TEMP_START] + [-1e2] * (2 * 4) high_bounds = [TEMP_STOP, DHm_VAL+100] + [1e3] * (2 * 4) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -867,7 +867,7 @@ def test_fit_dimer_unfolding_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -890,7 +890,7 @@ def test_fit_dimer_unfolding_many_signals_constant(): scale_factor_exclude_ids = [len(signal_list) - 1] - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -909,7 +909,7 @@ def test_fit_dimer_unfolding_many_signals_constant(): low_bounds = [TEMP_START, TEMP_START] + [-1e2] * (2 * 4) high_bounds = [TEMP_STOP, DHm_VAL+100] + [1e3] * (2 * 4) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -950,7 +950,7 @@ def test_fit_trimer_unfolding_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -973,7 +973,7 @@ def test_fit_trimer_unfolding_many_signals_constant(): scale_factor_exclude_ids = [len(signal_list) - 1] - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -992,7 +992,7 @@ def test_fit_trimer_unfolding_many_signals_constant(): low_bounds = [TEMP_START, TEMP_START] + [-1e2] * (2 * 4) high_bounds = [TEMP_STOP, DHm_VAL+100] + [1e3] * (2 * 4) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1032,7 +1032,7 @@ def test_fit_tetramer_unfolding_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1055,7 +1055,7 @@ def test_fit_tetramer_unfolding_many_signals_constant(): scale_factor_exclude_ids = [len(signal_list) - 1] - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1074,7 +1074,7 @@ def test_fit_tetramer_unfolding_many_signals_constant(): low_bounds = [TEMP_START, TEMP_START] + [-1e2] * (2 * 4) high_bounds = [TEMP_STOP, DHm_VAL+100] + [1e3] * (2 * 4) - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, diff --git a/tests/test_fitting_therm_oligo_2.py b/tests/test_fitting_therm_oligo_2.py index 1923e7c..8f0e806 100644 --- a/tests/test_fitting_therm_oligo_2.py +++ b/tests/test_fitting_therm_oligo_2.py @@ -90,7 +90,7 @@ def test_fit_monomer_unfolding_single_slopes_exponential(): 'baseline_unfolded_fx':exponential_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -127,7 +127,7 @@ def test_fit_dimer_unfolding_single_slopes_exponential(): 'baseline_unfolded_fx':exponential_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -164,7 +164,7 @@ def test_fit_trimer_unfolding_single_slopes_exponential(): 'baseline_unfolded_fx':exponential_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -201,7 +201,7 @@ def test_fit_tetramer_unfolding_single_slopes_exponential(): 'baseline_unfolded_fx':exponential_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -242,7 +242,7 @@ def test_fit_monomer_unfolding_shared_slopes_many_signals_exponential(): 'signal_ids' : [0 for _ in range(len(signal_list))], } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -281,7 +281,7 @@ def test_fit_dimer_unfolding_shared_slopes_many_signals_exponential(): 'signal_ids' : [0 for _ in range(len(signal_list))], } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -320,7 +320,7 @@ def test_fit_trimer_unfolding_shared_slopes_many_signals_exponential(): 'signal_ids' : [0 for _ in range(len(signal_list))], } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -358,7 +358,7 @@ def test_fit_tetramer_unfolding_shared_slopes_many_signals_exponential(): 'signal_ids' : [0 for _ in range(len(signal_list))], } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -407,7 +407,7 @@ def test_fit_monomer_unfolding_many_signals_exponential(): 'baseline_unfolded_fx':exponential_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -436,10 +436,9 @@ def test_fit_dimer_unfolding_many_signals_exponential(): p0 += [C_N_VAL, C_U_VAL] p0 += [ALPHA_N_VAL,ALPHA_U_VAL] - low_bounds = [-0.1 for _ in p0] + low_bounds = [0 for _ in p0] high_bounds = [1e3 for _ in p0] - kwargs = { 'list_of_temperatures' : temp_list, 'list_of_signals' : signal_list, @@ -452,7 +451,7 @@ def test_fit_dimer_unfolding_many_signals_exponential(): 'baseline_unfolded_fx':exponential_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -497,7 +496,7 @@ def test_fit_trimer_unfolding_many_signals_exponential(): 'baseline_unfolded_fx':exponential_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -541,7 +540,7 @@ def test_fit_tetramer_unfolding_many_signals_exponential(): 'baseline_unfolded_fx':exponential_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, diff --git a/tests/test_fitting_therm_oligo_Cp_value.py b/tests/test_fitting_therm_oligo_Cp_value.py index b0e5762..2f7f36d 100644 --- a/tests/test_fitting_therm_oligo_Cp_value.py +++ b/tests/test_fitting_therm_oligo_Cp_value.py @@ -120,7 +120,7 @@ def test_fitting_therm_oligo_cp_impact(model_name, cp_true, cp_fit): } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -169,7 +169,7 @@ def test_fitting_therm_oligo_three_state_cp_impact(model_name, cp_th_true, cp_th 'CpTh_value': cp_th_arg } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -321,7 +321,7 @@ def fitting_data_two_state(oligomer, cp_true, cp_fit, params=def_params): 'cp_value': cp_fit, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -370,7 +370,7 @@ def fitting_data_three_state(oligomer, cp1_true, cpth_true, cpth_fit, cp1_fit=1. 'CpTh_value': cpth_fit, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, diff --git a/tests/test_fitting_therm_oligo_three_state.py b/tests/test_fitting_therm_oligo_three_state.py index 5d97b13..2da2297 100644 --- a/tests/test_fitting_therm_oligo_three_state.py +++ b/tests/test_fitting_therm_oligo_three_state.py @@ -102,7 +102,7 @@ def test_fit_monomer_unfolding_three_states_single_slopes_constant(): 'baseline_unfolded_fx':constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -121,7 +121,7 @@ def test_fit_monomer_unfolding_three_states_single_slopes_constant(): - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -143,7 +143,7 @@ def test_fit_monomer_unfolding_three_states_single_slopes_constant(): high_bounds_dh = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -187,7 +187,7 @@ def test_fit_dimer_unfolding_three_states_single_slopes_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -205,7 +205,7 @@ def test_fit_dimer_unfolding_three_states_single_slopes_constant(): - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -227,7 +227,7 @@ def test_fit_dimer_unfolding_three_states_single_slopes_constant(): - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -273,7 +273,7 @@ def test_fit_trimer_unfolding_three_states_single_slopes_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -291,7 +291,7 @@ def test_fit_trimer_unfolding_three_states_single_slopes_constant(): - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -313,7 +313,7 @@ def test_fit_trimer_unfolding_three_states_single_slopes_constant(): - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -358,7 +358,7 @@ def test_fit_tetramer_unfolding_three_states_single_slopes_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -376,7 +376,7 @@ def test_fit_tetramer_unfolding_three_states_single_slopes_constant(): - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -397,7 +397,7 @@ def test_fit_tetramer_unfolding_three_states_single_slopes_constant(): high_bounds_dh = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -441,7 +441,7 @@ def test_fit_dimer_dimeric_unfolding_three_states_single_slopes_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -457,7 +457,7 @@ def test_fit_dimer_dimeric_unfolding_three_states_single_slopes_constant(): low_bounds_tm = low_bounds.copy() high_bounds_tm = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -477,7 +477,7 @@ def test_fit_dimer_dimeric_unfolding_three_states_single_slopes_constant(): low_bounds_dh = low_bounds.copy() high_bounds_dh = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -521,7 +521,7 @@ def test_fit_trimer_trimeric_unfolding_three_states_single_slopes_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -537,7 +537,7 @@ def test_fit_trimer_trimeric_unfolding_three_states_single_slopes_constant(): low_bounds_tm = low_bounds.copy() high_bounds_tm = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -557,7 +557,7 @@ def test_fit_trimer_trimeric_unfolding_three_states_single_slopes_constant(): low_bounds_dh = low_bounds.copy() high_bounds_dh = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_single_slopes( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -604,7 +604,7 @@ def test_fit_monomer_unfolding_three_states_shared_slopes_many_signals_constant( 'baseline_unfolded_fx':constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -622,7 +622,7 @@ def test_fit_monomer_unfolding_three_states_shared_slopes_many_signals_constant( - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -642,7 +642,7 @@ def test_fit_monomer_unfolding_three_states_shared_slopes_many_signals_constant( low_bounds_dh = low_bounds.copy() high_bounds_dh = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -686,7 +686,7 @@ def test_fit_dimer_unfolding_three_states_shared_slopes_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -704,7 +704,7 @@ def test_fit_dimer_unfolding_three_states_shared_slopes_many_signals_constant(): - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -724,7 +724,7 @@ def test_fit_dimer_unfolding_three_states_shared_slopes_many_signals_constant(): low_bounds_dh = low_bounds.copy() high_bounds_dh = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -768,7 +768,7 @@ def test_fit_trimer_unfolding_three_states_shared_slopes_many_signals_constant() 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -786,7 +786,7 @@ def test_fit_trimer_unfolding_three_states_shared_slopes_many_signals_constant() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -806,7 +806,7 @@ def test_fit_trimer_unfolding_three_states_shared_slopes_many_signals_constant() low_bounds_dh = low_bounds.copy() high_bounds_dh = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -850,7 +850,7 @@ def test_fit_tetramer_unfolding_three_states_shared_slopes_many_signals_constant 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -868,7 +868,7 @@ def test_fit_tetramer_unfolding_three_states_shared_slopes_many_signals_constant - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -888,7 +888,7 @@ def test_fit_tetramer_unfolding_three_states_shared_slopes_many_signals_constant low_bounds_dh = low_bounds.copy() high_bounds_dh = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -932,7 +932,7 @@ def test_fit_dimer_dimeric_unfolding_three_states_shared_slopes_many_signals_con 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -950,7 +950,7 @@ def test_fit_dimer_dimeric_unfolding_three_states_shared_slopes_many_signals_con - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -970,7 +970,7 @@ def test_fit_dimer_dimeric_unfolding_three_states_shared_slopes_many_signals_con low_bounds_dh = low_bounds.copy() high_bounds_dh = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -1014,7 +1014,7 @@ def test_fit_trimer_trimeric_unfolding_three_states_shared_slopes_many_signals_c 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1032,7 +1032,7 @@ def test_fit_trimer_trimeric_unfolding_three_states_shared_slopes_many_signals_c - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_tm, low_bounds=low_bounds_tm, high_bounds=high_bounds_tm, @@ -1052,7 +1052,7 @@ def test_fit_trimer_trimeric_unfolding_three_states_shared_slopes_many_signals_c low_bounds_dh = low_bounds.copy() high_bounds_dh = high_bounds.copy() - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_shared_slopes_many_signals( initial_parameters=p0_dh, low_bounds=low_bounds_dh, high_bounds=high_bounds_dh, @@ -1098,7 +1098,7 @@ def test_fit_monomer_unfolding_three_states_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1121,7 +1121,7 @@ def test_fit_monomer_unfolding_three_states_many_signals_constant(): scale_factor_exclude_ids = [len(signal_list) - 1] - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1165,7 +1165,7 @@ def test_fit_dimer_unfolding_three_states_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1188,7 +1188,7 @@ def test_fit_dimer_unfolding_three_states_many_signals_constant(): scale_factor_exclude_ids = [len(signal_list) - 1] - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1232,7 +1232,7 @@ def test_fit_trimer_unfolding_three_states_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1255,7 +1255,7 @@ def test_fit_trimer_unfolding_three_states_many_signals_constant(): scale_factor_exclude_ids = [len(signal_list) - 1] - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1298,7 +1298,7 @@ def test_fit_tetramer_unfolding_three_states_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1321,7 +1321,7 @@ def test_fit_tetramer_unfolding_three_states_many_signals_constant(): scale_factor_exclude_ids = [len(signal_list) - 1] - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1364,7 +1364,7 @@ def test_fit_dimer_dimeric_unfolding_three_states_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1387,7 +1387,7 @@ def test_fit_dimer_dimeric_unfolding_three_states_many_signals_constant(): scale_factor_exclude_ids = [len(signal_list) - 1] - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1430,7 +1430,7 @@ def test_fit_trimer_trimeric_unfolding_three_states_many_signals_constant(): 'baseline_unfolded_fx': constant_baseline, } - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, @@ -1453,7 +1453,7 @@ def test_fit_trimer_trimeric_unfolding_three_states_many_signals_constant(): scale_factor_exclude_ids = [len(signal_list) - 1] - global_fit_params, cov, predicted_lst = fit_oligomer_unfolding_three_states_many_signals( + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_many_signals( initial_parameters=p0, low_bounds=low_bounds, high_bounds=high_bounds, diff --git a/tests/test_main_therm_oligo_2.py b/tests/test_main_therm_oligo_2.py index 52f1a20..446f07e 100644 --- a/tests/test_main_therm_oligo_2.py +++ b/tests/test_main_therm_oligo_2.py @@ -78,7 +78,7 @@ def aux_create_pychem_sim(params,concs, model): y = signal_fx(temp_range_K, C, **params) # Add gaussian error to signal - y += rng.normal(0, 0.002*1e-3, len(y)) # Small error (seeded) + y += rng.normal(0, 0.002*1e-4, len(y)) # Small error (seeded) signal_list.append(y) temp_list.append(temp_range) diff --git a/uv.lock b/uv.lock index c6f3fca..e611fbb 100644 --- a/uv.lock +++ b/uv.lock @@ -13,18 +13,18 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "pygments" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/bc/c1/bbac6a50d02774f91572938964c582fff4270eee73ab822a4aeea4d8b11b/accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872", size = 1377899, upload_time = "2024-05-10T11:23:10.216Z" } +sdist = { url = "https://files.pythonhosted.org/packages/bc/c1/bbac6a50d02774f91572938964c582fff4270eee73ab822a4aeea4d8b11b/accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872", size = 1377899, upload-time = "2024-05-10T11:23:10.216Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/8d/3f/95338030883d8c8b91223b4e21744b04d11b161a3ef117295d8241f50ab4/accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7", size = 1395903, upload_time = "2024-05-10T11:23:08.421Z" }, + { url = "https://files.pythonhosted.org/packages/8d/3f/95338030883d8c8b91223b4e21744b04d11b161a3ef117295d8241f50ab4/accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7", size = 1395903, upload-time = "2024-05-10T11:23:08.421Z" }, ] [[package]] name = "alabaster" version = "1.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a6/f8/d9c74d0daf3f742840fd818d69cfae176fa332022fd44e3469487d5a9420/alabaster-1.0.0.tar.gz", hash = "sha256:c00dca57bca26fa62a6d7d0a9fcce65f3e026e9bfe33e9c538fd3fbb2144fd9e", size = 24210, upload_time = "2024-07-26T18:15:03.762Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a6/f8/d9c74d0daf3f742840fd818d69cfae176fa332022fd44e3469487d5a9420/alabaster-1.0.0.tar.gz", hash = "sha256:c00dca57bca26fa62a6d7d0a9fcce65f3e026e9bfe33e9c538fd3fbb2144fd9e", size = 24210, upload-time = "2024-07-26T18:15:03.762Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/7e/b3/6b4067be973ae96ba0d615946e314c5ae35f9f993eca561b356540bb0c2b/alabaster-1.0.0-py3-none-any.whl", hash = "sha256:fc6786402dc3fcb2de3cabd5fe455a2db534b371124f1f21de8731783dec828b", size = 13929, upload_time = "2024-07-26T18:15:02.05Z" }, + { url = "https://files.pythonhosted.org/packages/7e/b3/6b4067be973ae96ba0d615946e314c5ae35f9f993eca561b356540bb0c2b/alabaster-1.0.0-py3-none-any.whl", hash = "sha256:fc6786402dc3fcb2de3cabd5fe455a2db534b371124f1f21de8731783dec828b", size = 13929, upload-time = "2024-07-26T18:15:02.05Z" }, ] [[package]] @@ -35,18 +35,18 @@ dependencies = [ { name = "idna" }, { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/16/ce/8a777047513153587e5434fd752e89334ac33e379aa3497db860eeb60377/anyio-4.12.0.tar.gz", hash = "sha256:73c693b567b0c55130c104d0b43a9baf3aa6a31fc6110116509f27bf75e21ec0", size = 228266, upload_time = "2025-11-28T23:37:38.911Z" } +sdist = { url = "https://files.pythonhosted.org/packages/16/ce/8a777047513153587e5434fd752e89334ac33e379aa3497db860eeb60377/anyio-4.12.0.tar.gz", hash = "sha256:73c693b567b0c55130c104d0b43a9baf3aa6a31fc6110116509f27bf75e21ec0", size = 228266, upload-time = "2025-11-28T23:37:38.911Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/7f/9c/36c5c37947ebfb8c7f22e0eb6e4d188ee2d53aa3880f3f2744fb894f0cb1/anyio-4.12.0-py3-none-any.whl", hash = "sha256:dad2376a628f98eeca4881fc56cd06affd18f659b17a747d3ff0307ced94b1bb", size = 113362, upload_time = "2025-11-28T23:36:57.897Z" }, + { url = "https://files.pythonhosted.org/packages/7f/9c/36c5c37947ebfb8c7f22e0eb6e4d188ee2d53aa3880f3f2744fb894f0cb1/anyio-4.12.0-py3-none-any.whl", hash = "sha256:dad2376a628f98eeca4881fc56cd06affd18f659b17a747d3ff0307ced94b1bb", size = 113362, upload-time = "2025-11-28T23:36:57.897Z" }, ] [[package]] name = "appnope" version = "0.1.4" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/35/5d/752690df9ef5b76e169e68d6a129fa6d08a7100ca7f754c89495db3c6019/appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee", size = 4170, upload_time = "2024-02-06T09:43:11.258Z" } +sdist = { url = "https://files.pythonhosted.org/packages/35/5d/752690df9ef5b76e169e68d6a129fa6d08a7100ca7f754c89495db3c6019/appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee", size = 4170, upload-time = "2024-02-06T09:43:11.258Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/81/29/5ecc3a15d5a33e31b26c11426c45c501e439cb865d0bff96315d86443b78/appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c", size = 4321, upload_time = "2024-02-06T09:43:09.663Z" }, + { url = "https://files.pythonhosted.org/packages/81/29/5ecc3a15d5a33e31b26c11426c45c501e439cb865d0bff96315d86443b78/appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c", size = 4321, upload-time = "2024-02-06T09:43:09.663Z" }, ] [[package]] @@ -56,9 +56,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "argon2-cffi-bindings" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/0e/89/ce5af8a7d472a67cc819d5d998aa8c82c5d860608c4db9f46f1162d7dab9/argon2_cffi-25.1.0.tar.gz", hash = "sha256:694ae5cc8a42f4c4e2bf2ca0e64e51e23a040c6a517a85074683d3959e1346c1", size = 45706, upload_time = "2025-06-03T06:55:32.073Z" } +sdist = { url = "https://files.pythonhosted.org/packages/0e/89/ce5af8a7d472a67cc819d5d998aa8c82c5d860608c4db9f46f1162d7dab9/argon2_cffi-25.1.0.tar.gz", hash = "sha256:694ae5cc8a42f4c4e2bf2ca0e64e51e23a040c6a517a85074683d3959e1346c1", size = 45706, upload-time = "2025-06-03T06:55:32.073Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/4f/d3/a8b22fa575b297cd6e3e3b0155c7e25db170edf1c74783d6a31a2490b8d9/argon2_cffi-25.1.0-py3-none-any.whl", hash = "sha256:fdc8b074db390fccb6eb4a3604ae7231f219aa669a2652e0f20e16ba513d5741", size = 14657, upload_time = "2025-06-03T06:55:30.804Z" }, + { url = "https://files.pythonhosted.org/packages/4f/d3/a8b22fa575b297cd6e3e3b0155c7e25db170edf1c74783d6a31a2490b8d9/argon2_cffi-25.1.0-py3-none-any.whl", hash = "sha256:fdc8b074db390fccb6eb4a3604ae7231f219aa669a2652e0f20e16ba513d5741", size = 14657, upload-time = "2025-06-03T06:55:30.804Z" }, ] [[package]] @@ -68,28 +68,28 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "cffi" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/5c/2d/db8af0df73c1cf454f71b2bbe5e356b8c1f8041c979f505b3d3186e520a9/argon2_cffi_bindings-25.1.0.tar.gz", hash = "sha256:b957f3e6ea4d55d820e40ff76f450952807013d361a65d7f28acc0acbf29229d", size = 1783441, upload_time = "2025-07-30T10:02:05.147Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/60/97/3c0a35f46e52108d4707c44b95cfe2afcafc50800b5450c197454569b776/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:3d3f05610594151994ca9ccb3c771115bdb4daef161976a266f0dd8aa9996b8f", size = 54393, upload_time = "2025-07-30T10:01:40.97Z" }, - { url = "https://files.pythonhosted.org/packages/9d/f4/98bbd6ee89febd4f212696f13c03ca302b8552e7dbf9c8efa11ea4a388c3/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:8b8efee945193e667a396cbc7b4fb7d357297d6234d30a489905d96caabde56b", size = 29328, upload_time = "2025-07-30T10:01:41.916Z" }, - { url = "https://files.pythonhosted.org/packages/43/24/90a01c0ef12ac91a6be05969f29944643bc1e5e461155ae6559befa8f00b/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3c6702abc36bf3ccba3f802b799505def420a1b7039862014a65db3205967f5a", size = 31269, upload_time = "2025-07-30T10:01:42.716Z" }, - { url = "https://files.pythonhosted.org/packages/d4/d3/942aa10782b2697eee7af5e12eeff5ebb325ccfb86dd8abda54174e377e4/argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a1c70058c6ab1e352304ac7e3b52554daadacd8d453c1752e547c76e9c99ac44", size = 86558, upload_time = "2025-07-30T10:01:43.943Z" }, - { url = "https://files.pythonhosted.org/packages/0d/82/b484f702fec5536e71836fc2dbc8c5267b3f6e78d2d539b4eaa6f0db8bf8/argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e2fd3bfbff3c5d74fef31a722f729bf93500910db650c925c2d6ef879a7e51cb", size = 92364, upload_time = "2025-07-30T10:01:44.887Z" }, - { url = "https://files.pythonhosted.org/packages/c9/c1/a606ff83b3f1735f3759ad0f2cd9e038a0ad11a3de3b6c673aa41c24bb7b/argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c4f9665de60b1b0e99bcd6be4f17d90339698ce954cfd8d9cf4f91c995165a92", size = 85637, upload_time = "2025-07-30T10:01:46.225Z" }, - { url = "https://files.pythonhosted.org/packages/44/b4/678503f12aceb0262f84fa201f6027ed77d71c5019ae03b399b97caa2f19/argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ba92837e4a9aa6a508c8d2d7883ed5a8f6c308c89a4790e1e447a220deb79a85", size = 91934, upload_time = "2025-07-30T10:01:47.203Z" }, - { url = "https://files.pythonhosted.org/packages/f0/c7/f36bd08ef9bd9f0a9cff9428406651f5937ce27b6c5b07b92d41f91ae541/argon2_cffi_bindings-25.1.0-cp314-cp314t-win32.whl", hash = "sha256:84a461d4d84ae1295871329b346a97f68eade8c53b6ed9a7ca2d7467f3c8ff6f", size = 28158, upload_time = "2025-07-30T10:01:48.341Z" }, - { url = "https://files.pythonhosted.org/packages/b3/80/0106a7448abb24a2c467bf7d527fe5413b7fdfa4ad6d6a96a43a62ef3988/argon2_cffi_bindings-25.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b55aec3565b65f56455eebc9b9f34130440404f27fe21c3b375bf1ea4d8fbae6", size = 32597, upload_time = "2025-07-30T10:01:49.112Z" }, - { url = "https://files.pythonhosted.org/packages/05/b8/d663c9caea07e9180b2cb662772865230715cbd573ba3b5e81793d580316/argon2_cffi_bindings-25.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:87c33a52407e4c41f3b70a9c2d3f6056d88b10dad7695be708c5021673f55623", size = 28231, upload_time = "2025-07-30T10:01:49.92Z" }, - { url = "https://files.pythonhosted.org/packages/1d/57/96b8b9f93166147826da5f90376e784a10582dd39a393c99bb62cfcf52f0/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:aecba1723ae35330a008418a91ea6cfcedf6d31e5fbaa056a166462ff066d500", size = 54121, upload_time = "2025-07-30T10:01:50.815Z" }, - { url = "https://files.pythonhosted.org/packages/0a/08/a9bebdb2e0e602dde230bdde8021b29f71f7841bd54801bcfd514acb5dcf/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2630b6240b495dfab90aebe159ff784d08ea999aa4b0d17efa734055a07d2f44", size = 29177, upload_time = "2025-07-30T10:01:51.681Z" }, - { url = "https://files.pythonhosted.org/packages/b6/02/d297943bcacf05e4f2a94ab6f462831dc20158614e5d067c35d4e63b9acb/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:7aef0c91e2c0fbca6fc68e7555aa60ef7008a739cbe045541e438373bc54d2b0", size = 31090, upload_time = "2025-07-30T10:01:53.184Z" }, - { url = "https://files.pythonhosted.org/packages/c1/93/44365f3d75053e53893ec6d733e4a5e3147502663554b4d864587c7828a7/argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1e021e87faa76ae0d413b619fe2b65ab9a037f24c60a1e6cc43457ae20de6dc6", size = 81246, upload_time = "2025-07-30T10:01:54.145Z" }, - { url = "https://files.pythonhosted.org/packages/09/52/94108adfdd6e2ddf58be64f959a0b9c7d4ef2fa71086c38356d22dc501ea/argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e924cfc503018a714f94a49a149fdc0b644eaead5d1f089330399134fa028a", size = 87126, upload_time = "2025-07-30T10:01:55.074Z" }, - { url = "https://files.pythonhosted.org/packages/72/70/7a2993a12b0ffa2a9271259b79cc616e2389ed1a4d93842fac5a1f923ffd/argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c87b72589133f0346a1cb8d5ecca4b933e3c9b64656c9d175270a000e73b288d", size = 80343, upload_time = "2025-07-30T10:01:56.007Z" }, - { url = "https://files.pythonhosted.org/packages/78/9a/4e5157d893ffc712b74dbd868c7f62365618266982b64accab26bab01edc/argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1db89609c06afa1a214a69a462ea741cf735b29a57530478c06eb81dd403de99", size = 86777, upload_time = "2025-07-30T10:01:56.943Z" }, - { url = "https://files.pythonhosted.org/packages/74/cd/15777dfde1c29d96de7f18edf4cc94c385646852e7c7b0320aa91ccca583/argon2_cffi_bindings-25.1.0-cp39-abi3-win32.whl", hash = "sha256:473bcb5f82924b1becbb637b63303ec8d10e84c8d241119419897a26116515d2", size = 27180, upload_time = "2025-07-30T10:01:57.759Z" }, - { url = "https://files.pythonhosted.org/packages/e2/c6/a759ece8f1829d1f162261226fbfd2c6832b3ff7657384045286d2afa384/argon2_cffi_bindings-25.1.0-cp39-abi3-win_amd64.whl", hash = "sha256:a98cd7d17e9f7ce244c0803cad3c23a7d379c301ba618a5fa76a67d116618b98", size = 31715, upload_time = "2025-07-30T10:01:58.56Z" }, - { url = "https://files.pythonhosted.org/packages/42/b9/f8d6fa329ab25128b7e98fd83a3cb34d9db5b059a9847eddb840a0af45dd/argon2_cffi_bindings-25.1.0-cp39-abi3-win_arm64.whl", hash = "sha256:b0fdbcf513833809c882823f98dc2f931cf659d9a1429616ac3adebb49f5db94", size = 27149, upload_time = "2025-07-30T10:01:59.329Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/5c/2d/db8af0df73c1cf454f71b2bbe5e356b8c1f8041c979f505b3d3186e520a9/argon2_cffi_bindings-25.1.0.tar.gz", hash = "sha256:b957f3e6ea4d55d820e40ff76f450952807013d361a65d7f28acc0acbf29229d", size = 1783441, upload-time = "2025-07-30T10:02:05.147Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/60/97/3c0a35f46e52108d4707c44b95cfe2afcafc50800b5450c197454569b776/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:3d3f05610594151994ca9ccb3c771115bdb4daef161976a266f0dd8aa9996b8f", size = 54393, upload-time = "2025-07-30T10:01:40.97Z" }, + { url = "https://files.pythonhosted.org/packages/9d/f4/98bbd6ee89febd4f212696f13c03ca302b8552e7dbf9c8efa11ea4a388c3/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:8b8efee945193e667a396cbc7b4fb7d357297d6234d30a489905d96caabde56b", size = 29328, upload-time = "2025-07-30T10:01:41.916Z" }, + { url = "https://files.pythonhosted.org/packages/43/24/90a01c0ef12ac91a6be05969f29944643bc1e5e461155ae6559befa8f00b/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3c6702abc36bf3ccba3f802b799505def420a1b7039862014a65db3205967f5a", size = 31269, upload-time = "2025-07-30T10:01:42.716Z" }, + { url = "https://files.pythonhosted.org/packages/d4/d3/942aa10782b2697eee7af5e12eeff5ebb325ccfb86dd8abda54174e377e4/argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a1c70058c6ab1e352304ac7e3b52554daadacd8d453c1752e547c76e9c99ac44", size = 86558, upload-time = "2025-07-30T10:01:43.943Z" }, + { url = "https://files.pythonhosted.org/packages/0d/82/b484f702fec5536e71836fc2dbc8c5267b3f6e78d2d539b4eaa6f0db8bf8/argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e2fd3bfbff3c5d74fef31a722f729bf93500910db650c925c2d6ef879a7e51cb", size = 92364, upload-time = "2025-07-30T10:01:44.887Z" }, + { url = "https://files.pythonhosted.org/packages/c9/c1/a606ff83b3f1735f3759ad0f2cd9e038a0ad11a3de3b6c673aa41c24bb7b/argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c4f9665de60b1b0e99bcd6be4f17d90339698ce954cfd8d9cf4f91c995165a92", size = 85637, upload-time = "2025-07-30T10:01:46.225Z" }, + { url = "https://files.pythonhosted.org/packages/44/b4/678503f12aceb0262f84fa201f6027ed77d71c5019ae03b399b97caa2f19/argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ba92837e4a9aa6a508c8d2d7883ed5a8f6c308c89a4790e1e447a220deb79a85", size = 91934, upload-time = "2025-07-30T10:01:47.203Z" }, + { url = "https://files.pythonhosted.org/packages/f0/c7/f36bd08ef9bd9f0a9cff9428406651f5937ce27b6c5b07b92d41f91ae541/argon2_cffi_bindings-25.1.0-cp314-cp314t-win32.whl", hash = "sha256:84a461d4d84ae1295871329b346a97f68eade8c53b6ed9a7ca2d7467f3c8ff6f", size = 28158, upload-time = "2025-07-30T10:01:48.341Z" }, + { url = "https://files.pythonhosted.org/packages/b3/80/0106a7448abb24a2c467bf7d527fe5413b7fdfa4ad6d6a96a43a62ef3988/argon2_cffi_bindings-25.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b55aec3565b65f56455eebc9b9f34130440404f27fe21c3b375bf1ea4d8fbae6", size = 32597, upload-time = "2025-07-30T10:01:49.112Z" }, + { url = "https://files.pythonhosted.org/packages/05/b8/d663c9caea07e9180b2cb662772865230715cbd573ba3b5e81793d580316/argon2_cffi_bindings-25.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:87c33a52407e4c41f3b70a9c2d3f6056d88b10dad7695be708c5021673f55623", size = 28231, upload-time = "2025-07-30T10:01:49.92Z" }, + { url = "https://files.pythonhosted.org/packages/1d/57/96b8b9f93166147826da5f90376e784a10582dd39a393c99bb62cfcf52f0/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:aecba1723ae35330a008418a91ea6cfcedf6d31e5fbaa056a166462ff066d500", size = 54121, upload-time = "2025-07-30T10:01:50.815Z" }, + { url = "https://files.pythonhosted.org/packages/0a/08/a9bebdb2e0e602dde230bdde8021b29f71f7841bd54801bcfd514acb5dcf/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2630b6240b495dfab90aebe159ff784d08ea999aa4b0d17efa734055a07d2f44", size = 29177, upload-time = "2025-07-30T10:01:51.681Z" }, + { url = "https://files.pythonhosted.org/packages/b6/02/d297943bcacf05e4f2a94ab6f462831dc20158614e5d067c35d4e63b9acb/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:7aef0c91e2c0fbca6fc68e7555aa60ef7008a739cbe045541e438373bc54d2b0", size = 31090, upload-time = "2025-07-30T10:01:53.184Z" }, + { url = "https://files.pythonhosted.org/packages/c1/93/44365f3d75053e53893ec6d733e4a5e3147502663554b4d864587c7828a7/argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1e021e87faa76ae0d413b619fe2b65ab9a037f24c60a1e6cc43457ae20de6dc6", size = 81246, upload-time = "2025-07-30T10:01:54.145Z" }, + { url = "https://files.pythonhosted.org/packages/09/52/94108adfdd6e2ddf58be64f959a0b9c7d4ef2fa71086c38356d22dc501ea/argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e924cfc503018a714f94a49a149fdc0b644eaead5d1f089330399134fa028a", size = 87126, upload-time = "2025-07-30T10:01:55.074Z" }, + { url = "https://files.pythonhosted.org/packages/72/70/7a2993a12b0ffa2a9271259b79cc616e2389ed1a4d93842fac5a1f923ffd/argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c87b72589133f0346a1cb8d5ecca4b933e3c9b64656c9d175270a000e73b288d", size = 80343, upload-time = "2025-07-30T10:01:56.007Z" }, + { url = "https://files.pythonhosted.org/packages/78/9a/4e5157d893ffc712b74dbd868c7f62365618266982b64accab26bab01edc/argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1db89609c06afa1a214a69a462ea741cf735b29a57530478c06eb81dd403de99", size = 86777, upload-time = "2025-07-30T10:01:56.943Z" }, + { url = "https://files.pythonhosted.org/packages/74/cd/15777dfde1c29d96de7f18edf4cc94c385646852e7c7b0320aa91ccca583/argon2_cffi_bindings-25.1.0-cp39-abi3-win32.whl", hash = "sha256:473bcb5f82924b1becbb637b63303ec8d10e84c8d241119419897a26116515d2", size = 27180, upload-time = "2025-07-30T10:01:57.759Z" }, + { url = "https://files.pythonhosted.org/packages/e2/c6/a759ece8f1829d1f162261226fbfd2c6832b3ff7657384045286d2afa384/argon2_cffi_bindings-25.1.0-cp39-abi3-win_amd64.whl", hash = "sha256:a98cd7d17e9f7ce244c0803cad3c23a7d379c301ba618a5fa76a67d116618b98", size = 31715, upload-time = "2025-07-30T10:01:58.56Z" }, + { url = "https://files.pythonhosted.org/packages/42/b9/f8d6fa329ab25128b7e98fd83a3cb34d9db5b059a9847eddb840a0af45dd/argon2_cffi_bindings-25.1.0-cp39-abi3-win_arm64.whl", hash = "sha256:b0fdbcf513833809c882823f98dc2f931cf659d9a1429616ac3adebb49f5db94", size = 27149, upload-time = "2025-07-30T10:01:59.329Z" }, ] [[package]] @@ -100,45 +100,54 @@ dependencies = [ { name = "python-dateutil" }, { name = "tzdata" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/b9/33/032cdc44182491aa708d06a68b62434140d8c50820a087fac7af37703357/arrow-1.4.0.tar.gz", hash = "sha256:ed0cc050e98001b8779e84d461b0098c4ac597e88704a655582b21d116e526d7", size = 152931, upload_time = "2025-10-18T17:46:46.761Z" } +sdist = { url = "https://files.pythonhosted.org/packages/b9/33/032cdc44182491aa708d06a68b62434140d8c50820a087fac7af37703357/arrow-1.4.0.tar.gz", hash = "sha256:ed0cc050e98001b8779e84d461b0098c4ac597e88704a655582b21d116e526d7", size = 152931, upload-time = "2025-10-18T17:46:46.761Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/ed/c9/d7977eaacb9df673210491da99e6a247e93df98c715fc43fd136ce1d3d33/arrow-1.4.0-py3-none-any.whl", hash = "sha256:749f0769958ebdc79c173ff0b0670d59051a535fa26e8eba02953dc19eb43205", size = 68797, upload_time = "2025-10-18T17:46:45.663Z" }, + { url = "https://files.pythonhosted.org/packages/ed/c9/d7977eaacb9df673210491da99e6a247e93df98c715fc43fd136ce1d3d33/arrow-1.4.0-py3-none-any.whl", hash = "sha256:749f0769958ebdc79c173ff0b0670d59051a535fa26e8eba02953dc19eb43205", size = 68797, upload-time = "2025-10-18T17:46:45.663Z" }, +] + +[[package]] +name = "asteval" +version = "1.0.8" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/8f/d4/c19cac7814b8ec273804ebee3c5d3c69ee2084cb75f25297cb4177a6aa85/asteval-1.0.8.tar.gz", hash = "sha256:7175134331726df0e1569f4ab5fa59266192cf1b365db0ff463c978842075cbb", size = 53989, upload-time = "2025-12-17T20:56:08.383Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/99/31/6cf181011dc738c33bf6ba7aea2e8e1d3c1f71b7dab1942f3054f66f6202/asteval-1.0.8-py3-none-any.whl", hash = "sha256:6c64385c6ff859a474953c124987c7ee8354d781c76509b2c598741c4d1d28e9", size = 22968, upload-time = "2025-12-17T20:56:07.457Z" }, ] [[package]] name = "asttokens" version = "3.0.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/be/a5/8e3f9b6771b0b408517c82d97aed8f2036509bc247d46114925e32fe33f0/asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7", size = 62308, upload_time = "2025-11-15T16:43:48.578Z" } +sdist = { url = "https://files.pythonhosted.org/packages/be/a5/8e3f9b6771b0b408517c82d97aed8f2036509bc247d46114925e32fe33f0/asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7", size = 62308, upload-time = "2025-11-15T16:43:48.578Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/d2/39/e7eaf1799466a4aef85b6a4fe7bd175ad2b1c6345066aa33f1f58d4b18d0/asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a", size = 27047, upload_time = "2025-11-15T16:43:16.109Z" }, + { url = "https://files.pythonhosted.org/packages/d2/39/e7eaf1799466a4aef85b6a4fe7bd175ad2b1c6345066aa33f1f58d4b18d0/asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a", size = 27047, upload-time = "2025-11-15T16:43:16.109Z" }, ] [[package]] name = "async-lru" version = "2.0.5" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/b2/4d/71ec4d3939dc755264f680f6c2b4906423a304c3d18e96853f0a595dfe97/async_lru-2.0.5.tar.gz", hash = "sha256:481d52ccdd27275f42c43a928b4a50c3bfb2d67af4e78b170e3e0bb39c66e5bb", size = 10380, upload_time = "2025-03-16T17:25:36.919Z" } +sdist = { url = "https://files.pythonhosted.org/packages/b2/4d/71ec4d3939dc755264f680f6c2b4906423a304c3d18e96853f0a595dfe97/async_lru-2.0.5.tar.gz", hash = "sha256:481d52ccdd27275f42c43a928b4a50c3bfb2d67af4e78b170e3e0bb39c66e5bb", size = 10380, upload-time = "2025-03-16T17:25:36.919Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/03/49/d10027df9fce941cb8184e78a02857af36360d33e1721df81c5ed2179a1a/async_lru-2.0.5-py3-none-any.whl", hash = "sha256:ab95404d8d2605310d345932697371a5f40def0487c03d6d0ad9138de52c9943", size = 6069, upload_time = "2025-03-16T17:25:35.422Z" }, + { url = "https://files.pythonhosted.org/packages/03/49/d10027df9fce941cb8184e78a02857af36360d33e1721df81c5ed2179a1a/async_lru-2.0.5-py3-none-any.whl", hash = "sha256:ab95404d8d2605310d345932697371a5f40def0487c03d6d0ad9138de52c9943", size = 6069, upload-time = "2025-03-16T17:25:35.422Z" }, ] [[package]] name = "attrs" version = "25.4.0" 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/6b/5c/685e6633917e101e5dcb62b9dd76946cbb57c26e133bae9e0cd36033c0a9/attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11", size = 934251, upload-time = "2025-10-06T13:54:44.725Z" } 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/3a/2a/7cc015f5b9f5db42b7d48157e23356022889fc354a2813c15934b7cb5c0e/attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373", size = 67615, upload-time = "2025-10-06T13:54:43.17Z" }, ] [[package]] name = "babel" version = "2.17.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/7d/6b/d52e42361e1aa00709585ecc30b3f9684b3ab62530771402248b1b1d6240/babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d", size = 9951852, upload_time = "2025-02-01T15:17:41.026Z" } +sdist = { url = "https://files.pythonhosted.org/packages/7d/6b/d52e42361e1aa00709585ecc30b3f9684b3ab62530771402248b1b1d6240/babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d", size = 9951852, upload-time = "2025-02-01T15:17:41.026Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/b7/b8/3fe70c75fe32afc4bb507f75563d39bc5642255d1d94f1f23604725780bf/babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2", size = 10182537, upload_time = "2025-02-01T15:17:37.39Z" }, + { url = "https://files.pythonhosted.org/packages/b7/b8/3fe70c75fe32afc4bb507f75563d39bc5642255d1d94f1f23604725780bf/babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2", size = 10182537, upload-time = "2025-02-01T15:17:37.39Z" }, ] [[package]] @@ -149,9 +158,9 @@ dependencies = [ { name = "soupsieve" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/c3/b0/1c6a16426d389813b48d95e26898aff79abbde42ad353958ad95cc8c9b21/beautifulsoup4-4.14.3.tar.gz", hash = "sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86", size = 627737, upload_time = "2025-11-30T15:08:26.084Z" } +sdist = { url = "https://files.pythonhosted.org/packages/c3/b0/1c6a16426d389813b48d95e26898aff79abbde42ad353958ad95cc8c9b21/beautifulsoup4-4.14.3.tar.gz", hash = "sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86", size = 627737, upload-time = "2025-11-30T15:08:26.084Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/1a/39/47f9197bdd44df24d67ac8893641e16f386c984a0619ef2ee4c51fbbc019/beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb", size = 107721, upload_time = "2025-11-30T15:08:24.087Z" }, + { url = "https://files.pythonhosted.org/packages/1a/39/47f9197bdd44df24d67ac8893641e16f386c984a0619ef2ee4c51fbbc019/beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb", size = 107721, upload-time = "2025-11-30T15:08:24.087Z" }, ] [[package]] @@ -166,21 +175,21 @@ dependencies = [ { name = "platformdirs" }, { name = "pytokens" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/8c/ad/33adf4708633d047950ff2dfdea2e215d84ac50ef95aff14a614e4b6e9b2/black-25.11.0.tar.gz", hash = "sha256:9a323ac32f5dc75ce7470501b887250be5005a01602e931a15e45593f70f6e08", size = 655669, upload_time = "2025-11-10T01:53:50.558Z" } +sdist = { url = "https://files.pythonhosted.org/packages/8c/ad/33adf4708633d047950ff2dfdea2e215d84ac50ef95aff14a614e4b6e9b2/black-25.11.0.tar.gz", hash = "sha256:9a323ac32f5dc75ce7470501b887250be5005a01602e931a15e45593f70f6e08", size = 655669, upload-time = "2025-11-10T01:53:50.558Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/7f/12/5c35e600b515f35ffd737da7febdb2ab66bb8c24d88560d5e3ef3d28c3fd/black-25.11.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:80e7486ad3535636657aa180ad32a7d67d7c273a80e12f1b4bfa0823d54e8fac", size = 1772831, upload_time = "2025-11-10T02:03:47Z" }, - { url = "https://files.pythonhosted.org/packages/1a/75/b3896bec5a2bb9ed2f989a970ea40e7062f8936f95425879bbe162746fe5/black-25.11.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6cced12b747c4c76bc09b4db057c319d8545307266f41aaee665540bc0e04e96", size = 1608520, upload_time = "2025-11-10T01:58:46.895Z" }, - { url = "https://files.pythonhosted.org/packages/f3/b5/2bfc18330eddbcfb5aab8d2d720663cd410f51b2ed01375f5be3751595b0/black-25.11.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6cb2d54a39e0ef021d6c5eef442e10fd71fcb491be6413d083a320ee768329dd", size = 1682719, upload_time = "2025-11-10T01:56:55.24Z" }, - { url = "https://files.pythonhosted.org/packages/96/fb/f7dc2793a22cdf74a72114b5ed77fe3349a2e09ef34565857a2f917abdf2/black-25.11.0-cp312-cp312-win_amd64.whl", hash = "sha256:ae263af2f496940438e5be1a0c1020e13b09154f3af4df0835ea7f9fe7bfa409", size = 1362684, upload_time = "2025-11-10T01:57:07.639Z" }, - { url = "https://files.pythonhosted.org/packages/ad/47/3378d6a2ddefe18553d1115e36aea98f4a90de53b6a3017ed861ba1bd3bc/black-25.11.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0a1d40348b6621cc20d3d7530a5b8d67e9714906dfd7346338249ad9c6cedf2b", size = 1772446, upload_time = "2025-11-10T02:02:16.181Z" }, - { url = "https://files.pythonhosted.org/packages/ba/4b/0f00bfb3d1f7e05e25bfc7c363f54dc523bb6ba502f98f4ad3acf01ab2e4/black-25.11.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:51c65d7d60bb25429ea2bf0731c32b2a2442eb4bd3b2afcb47830f0b13e58bfd", size = 1607983, upload_time = "2025-11-10T02:02:52.502Z" }, - { url = "https://files.pythonhosted.org/packages/99/fe/49b0768f8c9ae57eb74cc10a1f87b4c70453551d8ad498959721cc345cb7/black-25.11.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:936c4dd07669269f40b497440159a221ee435e3fddcf668e0c05244a9be71993", size = 1682481, upload_time = "2025-11-10T01:57:12.35Z" }, - { url = "https://files.pythonhosted.org/packages/55/17/7e10ff1267bfa950cc16f0a411d457cdff79678fbb77a6c73b73a5317904/black-25.11.0-cp313-cp313-win_amd64.whl", hash = "sha256:f42c0ea7f59994490f4dccd64e6b2dd49ac57c7c84f38b8faab50f8759db245c", size = 1363869, upload_time = "2025-11-10T01:58:24.608Z" }, - { url = "https://files.pythonhosted.org/packages/67/c0/cc865ce594d09e4cd4dfca5e11994ebb51604328489f3ca3ae7bb38a7db5/black-25.11.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:35690a383f22dd3e468c85dc4b915217f87667ad9cce781d7b42678ce63c4170", size = 1771358, upload_time = "2025-11-10T02:03:33.331Z" }, - { url = "https://files.pythonhosted.org/packages/37/77/4297114d9e2fd2fc8ab0ab87192643cd49409eb059e2940391e7d2340e57/black-25.11.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:dae49ef7369c6caa1a1833fd5efb7c3024bb7e4499bf64833f65ad27791b1545", size = 1612902, upload_time = "2025-11-10T01:59:33.382Z" }, - { url = "https://files.pythonhosted.org/packages/de/63/d45ef97ada84111e330b2b2d45e1dd163e90bd116f00ac55927fb6bf8adb/black-25.11.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5bd4a22a0b37401c8e492e994bce79e614f91b14d9ea911f44f36e262195fdda", size = 1680571, upload_time = "2025-11-10T01:57:04.239Z" }, - { url = "https://files.pythonhosted.org/packages/ff/4b/5604710d61cdff613584028b4cb4607e56e148801ed9b38ee7970799dab6/black-25.11.0-cp314-cp314-win_amd64.whl", hash = "sha256:aa211411e94fdf86519996b7f5f05e71ba34835d8f0c0f03c00a26271da02664", size = 1382599, upload_time = "2025-11-10T01:57:57.427Z" }, - { url = "https://files.pythonhosted.org/packages/00/5d/aed32636ed30a6e7f9efd6ad14e2a0b0d687ae7c8c7ec4e4a557174b895c/black-25.11.0-py3-none-any.whl", hash = "sha256:e3f562da087791e96cefcd9dda058380a442ab322a02e222add53736451f604b", size = 204918, upload_time = "2025-11-10T01:53:48.917Z" }, + { url = "https://files.pythonhosted.org/packages/7f/12/5c35e600b515f35ffd737da7febdb2ab66bb8c24d88560d5e3ef3d28c3fd/black-25.11.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:80e7486ad3535636657aa180ad32a7d67d7c273a80e12f1b4bfa0823d54e8fac", size = 1772831, upload-time = "2025-11-10T02:03:47Z" }, + { url = "https://files.pythonhosted.org/packages/1a/75/b3896bec5a2bb9ed2f989a970ea40e7062f8936f95425879bbe162746fe5/black-25.11.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6cced12b747c4c76bc09b4db057c319d8545307266f41aaee665540bc0e04e96", size = 1608520, upload-time = "2025-11-10T01:58:46.895Z" }, + { url = "https://files.pythonhosted.org/packages/f3/b5/2bfc18330eddbcfb5aab8d2d720663cd410f51b2ed01375f5be3751595b0/black-25.11.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6cb2d54a39e0ef021d6c5eef442e10fd71fcb491be6413d083a320ee768329dd", size = 1682719, upload-time = "2025-11-10T01:56:55.24Z" }, + { url = "https://files.pythonhosted.org/packages/96/fb/f7dc2793a22cdf74a72114b5ed77fe3349a2e09ef34565857a2f917abdf2/black-25.11.0-cp312-cp312-win_amd64.whl", hash = "sha256:ae263af2f496940438e5be1a0c1020e13b09154f3af4df0835ea7f9fe7bfa409", size = 1362684, upload-time = "2025-11-10T01:57:07.639Z" }, + { url = "https://files.pythonhosted.org/packages/ad/47/3378d6a2ddefe18553d1115e36aea98f4a90de53b6a3017ed861ba1bd3bc/black-25.11.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0a1d40348b6621cc20d3d7530a5b8d67e9714906dfd7346338249ad9c6cedf2b", size = 1772446, upload-time = "2025-11-10T02:02:16.181Z" }, + { url = "https://files.pythonhosted.org/packages/ba/4b/0f00bfb3d1f7e05e25bfc7c363f54dc523bb6ba502f98f4ad3acf01ab2e4/black-25.11.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:51c65d7d60bb25429ea2bf0731c32b2a2442eb4bd3b2afcb47830f0b13e58bfd", size = 1607983, upload-time = "2025-11-10T02:02:52.502Z" }, + { url = "https://files.pythonhosted.org/packages/99/fe/49b0768f8c9ae57eb74cc10a1f87b4c70453551d8ad498959721cc345cb7/black-25.11.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:936c4dd07669269f40b497440159a221ee435e3fddcf668e0c05244a9be71993", size = 1682481, upload-time = "2025-11-10T01:57:12.35Z" }, + { url = "https://files.pythonhosted.org/packages/55/17/7e10ff1267bfa950cc16f0a411d457cdff79678fbb77a6c73b73a5317904/black-25.11.0-cp313-cp313-win_amd64.whl", hash = "sha256:f42c0ea7f59994490f4dccd64e6b2dd49ac57c7c84f38b8faab50f8759db245c", size = 1363869, upload-time = "2025-11-10T01:58:24.608Z" }, + { url = "https://files.pythonhosted.org/packages/67/c0/cc865ce594d09e4cd4dfca5e11994ebb51604328489f3ca3ae7bb38a7db5/black-25.11.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:35690a383f22dd3e468c85dc4b915217f87667ad9cce781d7b42678ce63c4170", size = 1771358, upload-time = "2025-11-10T02:03:33.331Z" }, + { url = "https://files.pythonhosted.org/packages/37/77/4297114d9e2fd2fc8ab0ab87192643cd49409eb059e2940391e7d2340e57/black-25.11.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:dae49ef7369c6caa1a1833fd5efb7c3024bb7e4499bf64833f65ad27791b1545", size = 1612902, upload-time = "2025-11-10T01:59:33.382Z" }, + { url = "https://files.pythonhosted.org/packages/de/63/d45ef97ada84111e330b2b2d45e1dd163e90bd116f00ac55927fb6bf8adb/black-25.11.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5bd4a22a0b37401c8e492e994bce79e614f91b14d9ea911f44f36e262195fdda", size = 1680571, upload-time = "2025-11-10T01:57:04.239Z" }, + { url = "https://files.pythonhosted.org/packages/ff/4b/5604710d61cdff613584028b4cb4607e56e148801ed9b38ee7970799dab6/black-25.11.0-cp314-cp314-win_amd64.whl", hash = "sha256:aa211411e94fdf86519996b7f5f05e71ba34835d8f0c0f03c00a26271da02664", size = 1382599, upload-time = "2025-11-10T01:57:57.427Z" }, + { url = "https://files.pythonhosted.org/packages/00/5d/aed32636ed30a6e7f9efd6ad14e2a0b0d687ae7c8c7ec4e4a557174b895c/black-25.11.0-py3-none-any.whl", hash = "sha256:e3f562da087791e96cefcd9dda058380a442ab322a02e222add53736451f604b", size = 204918, upload-time = "2025-11-10T01:53:48.917Z" }, ] [[package]] @@ -190,9 +199,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "webencodings" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/07/18/3c8523962314be6bf4c8989c79ad9531c825210dd13a8669f6b84336e8bd/bleach-6.3.0.tar.gz", hash = "sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22", size = 203533, upload_time = "2025-10-27T17:57:39.211Z" } +sdist = { url = "https://files.pythonhosted.org/packages/07/18/3c8523962314be6bf4c8989c79ad9531c825210dd13a8669f6b84336e8bd/bleach-6.3.0.tar.gz", hash = "sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22", size = 203533, upload-time = "2025-10-27T17:57:39.211Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/cd/3a/577b549de0cc09d95f11087ee63c739bba856cd3952697eec4c4bb91350a/bleach-6.3.0-py3-none-any.whl", hash = "sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6", size = 164437, upload_time = "2025-10-27T17:57:37.538Z" }, + { url = "https://files.pythonhosted.org/packages/cd/3a/577b549de0cc09d95f11087ee63c739bba856cd3952697eec4c4bb91350a/bleach-6.3.0-py3-none-any.whl", hash = "sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6", size = 164437, upload-time = "2025-10-27T17:57:37.538Z" }, ] [package.optional-dependencies] @@ -204,9 +213,9 @@ css = [ name = "certifi" version = "2025.11.12" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a2/8c/58f469717fa48465e4a50c014a0400602d3c437d7c0c468e17ada824da3a/certifi-2025.11.12.tar.gz", hash = "sha256:d8ab5478f2ecd78af242878415affce761ca6bc54a22a27e026d7c25357c3316", size = 160538, upload_time = "2025-11-12T02:54:51.517Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a2/8c/58f469717fa48465e4a50c014a0400602d3c437d7c0c468e17ada824da3a/certifi-2025.11.12.tar.gz", hash = "sha256:d8ab5478f2ecd78af242878415affce761ca6bc54a22a27e026d7c25357c3316", size = 160538, upload-time = "2025-11-12T02:54:51.517Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/70/7d/9bc192684cea499815ff478dfcdc13835ddf401365057044fb721ec6bddb/certifi-2025.11.12-py3-none-any.whl", hash = "sha256:97de8790030bbd5c2d96b7ec782fc2f7820ef8dba6db909ccf95449f2d062d4b", size = 159438, upload_time = "2025-11-12T02:54:49.735Z" }, + { url = "https://files.pythonhosted.org/packages/70/7d/9bc192684cea499815ff478dfcdc13835ddf401365057044fb721ec6bddb/certifi-2025.11.12-py3-none-any.whl", hash = "sha256:97de8790030bbd5c2d96b7ec782fc2f7820ef8dba6db909ccf95449f2d062d4b", size = 159438, upload-time = "2025-11-12T02:54:49.735Z" }, ] [[package]] @@ -216,111 +225,111 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "pycparser", marker = "implementation_name != 'PyPy'" }, ] -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/ea/47/4f61023ea636104d4f16ab488e268b93008c3d0bb76893b1b31db1f96802/cffi-2.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d02d6655b0e54f54c4ef0b94eb6be0607b70853c45ce98bd278dc7de718be5d", size = 185271, upload_time = "2025-09-08T23:22:44.795Z" }, - { url = "https://files.pythonhosted.org/packages/df/a2/781b623f57358e360d62cdd7a8c681f074a71d445418a776eef0aadb4ab4/cffi-2.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8eca2a813c1cb7ad4fb74d368c2ffbbb4789d377ee5bb8df98373c2cc0dee76c", size = 181048, upload_time = "2025-09-08T23:22:45.938Z" }, - { url = "https://files.pythonhosted.org/packages/ff/df/a4f0fbd47331ceeba3d37c2e51e9dfc9722498becbeec2bd8bc856c9538a/cffi-2.0.0-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:21d1152871b019407d8ac3985f6775c079416c282e431a4da6afe7aefd2bccbe", size = 212529, upload_time = "2025-09-08T23:22:47.349Z" }, - { url = "https://files.pythonhosted.org/packages/d5/72/12b5f8d3865bf0f87cf1404d8c374e7487dcf097a1c91c436e72e6badd83/cffi-2.0.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b21e08af67b8a103c71a250401c78d5e0893beff75e28c53c98f4de42f774062", size = 220097, upload_time = "2025-09-08T23:22:48.677Z" }, - { url = "https://files.pythonhosted.org/packages/c2/95/7a135d52a50dfa7c882ab0ac17e8dc11cec9d55d2c18dda414c051c5e69e/cffi-2.0.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:1e3a615586f05fc4065a8b22b8152f0c1b00cdbc60596d187c2a74f9e3036e4e", size = 207983, upload_time = "2025-09-08T23:22:50.06Z" }, - { url = "https://files.pythonhosted.org/packages/3a/c8/15cb9ada8895957ea171c62dc78ff3e99159ee7adb13c0123c001a2546c1/cffi-2.0.0-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:81afed14892743bbe14dacb9e36d9e0e504cd204e0b165062c488942b9718037", size = 206519, upload_time = "2025-09-08T23:22:51.364Z" }, - { url = "https://files.pythonhosted.org/packages/78/2d/7fa73dfa841b5ac06c7b8855cfc18622132e365f5b81d02230333ff26e9e/cffi-2.0.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3e17ed538242334bf70832644a32a7aae3d83b57567f9fd60a26257e992b79ba", size = 219572, upload_time = "2025-09-08T23:22:52.902Z" }, - { url = "https://files.pythonhosted.org/packages/07/e0/267e57e387b4ca276b90f0434ff88b2c2241ad72b16d31836adddfd6031b/cffi-2.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3925dd22fa2b7699ed2617149842d2e6adde22b262fcbfada50e3d195e4b3a94", size = 222963, upload_time = "2025-09-08T23:22:54.518Z" }, - { url = "https://files.pythonhosted.org/packages/b6/75/1f2747525e06f53efbd878f4d03bac5b859cbc11c633d0fb81432d98a795/cffi-2.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2c8f814d84194c9ea681642fd164267891702542f028a15fc97d4674b6206187", size = 221361, upload_time = "2025-09-08T23:22:55.867Z" }, - { 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" }, +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/ea/47/4f61023ea636104d4f16ab488e268b93008c3d0bb76893b1b31db1f96802/cffi-2.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d02d6655b0e54f54c4ef0b94eb6be0607b70853c45ce98bd278dc7de718be5d", size = 185271, upload-time = "2025-09-08T23:22:44.795Z" }, + { url = "https://files.pythonhosted.org/packages/df/a2/781b623f57358e360d62cdd7a8c681f074a71d445418a776eef0aadb4ab4/cffi-2.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8eca2a813c1cb7ad4fb74d368c2ffbbb4789d377ee5bb8df98373c2cc0dee76c", size = 181048, upload-time = "2025-09-08T23:22:45.938Z" }, + { url = "https://files.pythonhosted.org/packages/ff/df/a4f0fbd47331ceeba3d37c2e51e9dfc9722498becbeec2bd8bc856c9538a/cffi-2.0.0-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:21d1152871b019407d8ac3985f6775c079416c282e431a4da6afe7aefd2bccbe", size = 212529, upload-time = "2025-09-08T23:22:47.349Z" }, + { url = "https://files.pythonhosted.org/packages/d5/72/12b5f8d3865bf0f87cf1404d8c374e7487dcf097a1c91c436e72e6badd83/cffi-2.0.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b21e08af67b8a103c71a250401c78d5e0893beff75e28c53c98f4de42f774062", size = 220097, upload-time = "2025-09-08T23:22:48.677Z" }, + { url = "https://files.pythonhosted.org/packages/c2/95/7a135d52a50dfa7c882ab0ac17e8dc11cec9d55d2c18dda414c051c5e69e/cffi-2.0.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:1e3a615586f05fc4065a8b22b8152f0c1b00cdbc60596d187c2a74f9e3036e4e", size = 207983, upload-time = "2025-09-08T23:22:50.06Z" }, + { url = "https://files.pythonhosted.org/packages/3a/c8/15cb9ada8895957ea171c62dc78ff3e99159ee7adb13c0123c001a2546c1/cffi-2.0.0-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:81afed14892743bbe14dacb9e36d9e0e504cd204e0b165062c488942b9718037", size = 206519, upload-time = "2025-09-08T23:22:51.364Z" }, + { url = "https://files.pythonhosted.org/packages/78/2d/7fa73dfa841b5ac06c7b8855cfc18622132e365f5b81d02230333ff26e9e/cffi-2.0.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3e17ed538242334bf70832644a32a7aae3d83b57567f9fd60a26257e992b79ba", size = 219572, upload-time = "2025-09-08T23:22:52.902Z" }, + { url = "https://files.pythonhosted.org/packages/07/e0/267e57e387b4ca276b90f0434ff88b2c2241ad72b16d31836adddfd6031b/cffi-2.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3925dd22fa2b7699ed2617149842d2e6adde22b262fcbfada50e3d195e4b3a94", size = 222963, upload-time = "2025-09-08T23:22:54.518Z" }, + { url = "https://files.pythonhosted.org/packages/b6/75/1f2747525e06f53efbd878f4d03bac5b859cbc11c633d0fb81432d98a795/cffi-2.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2c8f814d84194c9ea681642fd164267891702542f028a15fc97d4674b6206187", size = 221361, upload-time = "2025-09-08T23:22:55.867Z" }, + { 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]] name = "charset-normalizer" version = "3.4.4" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/13/69/33ddede1939fdd074bce5434295f38fae7136463422fe4fd3e0e89b98062/charset_normalizer-3.4.4.tar.gz", hash = "sha256:94537985111c35f28720e43603b8e7b43a6ecfb2ce1d3058bbe955b73404e21a", size = 129418, upload_time = "2025-10-14T04:42:32.879Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/f3/85/1637cd4af66fa687396e757dec650f28025f2a2f5a5531a3208dc0ec43f2/charset_normalizer-3.4.4-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0a98e6759f854bd25a58a73fa88833fba3b7c491169f86ce1180c948ab3fd394", size = 208425, upload_time = "2025-10-14T04:40:53.353Z" }, - { url = "https://files.pythonhosted.org/packages/9d/6a/04130023fef2a0d9c62d0bae2649b69f7b7d8d24ea5536feef50551029df/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b5b290ccc2a263e8d185130284f8501e3e36c5e02750fc6b6bdeb2e9e96f1e25", size = 148162, upload_time = "2025-10-14T04:40:54.558Z" }, - { url = "https://files.pythonhosted.org/packages/78/29/62328d79aa60da22c9e0b9a66539feae06ca0f5a4171ac4f7dc285b83688/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:74bb723680f9f7a6234dcf67aea57e708ec1fbdf5699fb91dfd6f511b0a320ef", size = 144558, upload_time = "2025-10-14T04:40:55.677Z" }, - { url = "https://files.pythonhosted.org/packages/86/bb/b32194a4bf15b88403537c2e120b817c61cd4ecffa9b6876e941c3ee38fe/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f1e34719c6ed0b92f418c7c780480b26b5d9c50349e9a9af7d76bf757530350d", size = 161497, upload_time = "2025-10-14T04:40:57.217Z" }, - { url = "https://files.pythonhosted.org/packages/19/89/a54c82b253d5b9b111dc74aca196ba5ccfcca8242d0fb64146d4d3183ff1/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:2437418e20515acec67d86e12bf70056a33abdacb5cb1655042f6538d6b085a8", size = 159240, upload_time = "2025-10-14T04:40:58.358Z" }, - { url = "https://files.pythonhosted.org/packages/c0/10/d20b513afe03acc89ec33948320a5544d31f21b05368436d580dec4e234d/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:11d694519d7f29d6cd09f6ac70028dba10f92f6cdd059096db198c283794ac86", size = 153471, upload_time = "2025-10-14T04:40:59.468Z" }, - { url = "https://files.pythonhosted.org/packages/61/fa/fbf177b55bdd727010f9c0a3c49eefa1d10f960e5f09d1d887bf93c2e698/charset_normalizer-3.4.4-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:ac1c4a689edcc530fc9d9aa11f5774b9e2f33f9a0c6a57864e90908f5208d30a", size = 150864, upload_time = "2025-10-14T04:41:00.623Z" }, - { url = "https://files.pythonhosted.org/packages/05/12/9fbc6a4d39c0198adeebbde20b619790e9236557ca59fc40e0e3cebe6f40/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:21d142cc6c0ec30d2efee5068ca36c128a30b0f2c53c1c07bd78cb6bc1d3be5f", size = 150647, upload_time = "2025-10-14T04:41:01.754Z" }, - { url = "https://files.pythonhosted.org/packages/ad/1f/6a9a593d52e3e8c5d2b167daf8c6b968808efb57ef4c210acb907c365bc4/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:5dbe56a36425d26d6cfb40ce79c314a2e4dd6211d51d6d2191c00bed34f354cc", size = 145110, upload_time = "2025-10-14T04:41:03.231Z" }, - { url = "https://files.pythonhosted.org/packages/30/42/9a52c609e72471b0fc54386dc63c3781a387bb4fe61c20231a4ebcd58bdd/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:5bfbb1b9acf3334612667b61bd3002196fe2a1eb4dd74d247e0f2a4d50ec9bbf", size = 162839, upload_time = "2025-10-14T04:41:04.715Z" }, - { url = "https://files.pythonhosted.org/packages/c4/5b/c0682bbf9f11597073052628ddd38344a3d673fda35a36773f7d19344b23/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:d055ec1e26e441f6187acf818b73564e6e6282709e9bcb5b63f5b23068356a15", size = 150667, upload_time = "2025-10-14T04:41:05.827Z" }, - { url = "https://files.pythonhosted.org/packages/e4/24/a41afeab6f990cf2daf6cb8c67419b63b48cf518e4f56022230840c9bfb2/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:af2d8c67d8e573d6de5bc30cdb27e9b95e49115cd9baad5ddbd1a6207aaa82a9", size = 160535, upload_time = "2025-10-14T04:41:06.938Z" }, - { url = "https://files.pythonhosted.org/packages/2a/e5/6a4ce77ed243c4a50a1fecca6aaaab419628c818a49434be428fe24c9957/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:780236ac706e66881f3b7f2f32dfe90507a09e67d1d454c762cf642e6e1586e0", size = 154816, upload_time = "2025-10-14T04:41:08.101Z" }, - { url = "https://files.pythonhosted.org/packages/a8/ef/89297262b8092b312d29cdb2517cb1237e51db8ecef2e9af5edbe7b683b1/charset_normalizer-3.4.4-cp312-cp312-win32.whl", hash = "sha256:5833d2c39d8896e4e19b689ffc198f08ea58116bee26dea51e362ecc7cd3ed26", size = 99694, upload_time = "2025-10-14T04:41:09.23Z" }, - { url = "https://files.pythonhosted.org/packages/3d/2d/1e5ed9dd3b3803994c155cd9aacb60c82c331bad84daf75bcb9c91b3295e/charset_normalizer-3.4.4-cp312-cp312-win_amd64.whl", hash = "sha256:a79cfe37875f822425b89a82333404539ae63dbdddf97f84dcbc3d339aae9525", size = 107131, upload_time = "2025-10-14T04:41:10.467Z" }, - { url = "https://files.pythonhosted.org/packages/d0/d9/0ed4c7098a861482a7b6a95603edce4c0d9db2311af23da1fb2b75ec26fc/charset_normalizer-3.4.4-cp312-cp312-win_arm64.whl", hash = "sha256:376bec83a63b8021bb5c8ea75e21c4ccb86e7e45ca4eb81146091b56599b80c3", size = 100390, upload_time = "2025-10-14T04:41:11.915Z" }, - { url = "https://files.pythonhosted.org/packages/97/45/4b3a1239bbacd321068ea6e7ac28875b03ab8bc0aa0966452db17cd36714/charset_normalizer-3.4.4-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:e1f185f86a6f3403aa2420e815904c67b2f9ebc443f045edd0de921108345794", size = 208091, upload_time = "2025-10-14T04:41:13.346Z" }, - { url = "https://files.pythonhosted.org/packages/7d/62/73a6d7450829655a35bb88a88fca7d736f9882a27eacdca2c6d505b57e2e/charset_normalizer-3.4.4-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b39f987ae8ccdf0d2642338faf2abb1862340facc796048b604ef14919e55ed", size = 147936, upload_time = "2025-10-14T04:41:14.461Z" }, - { url = "https://files.pythonhosted.org/packages/89/c5/adb8c8b3d6625bef6d88b251bbb0d95f8205831b987631ab0c8bb5d937c2/charset_normalizer-3.4.4-cp313-cp313-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:3162d5d8ce1bb98dd51af660f2121c55d0fa541b46dff7bb9b9f86ea1d87de72", size = 144180, upload_time = "2025-10-14T04:41:15.588Z" }, - { url = "https://files.pythonhosted.org/packages/91/ed/9706e4070682d1cc219050b6048bfd293ccf67b3d4f5a4f39207453d4b99/charset_normalizer-3.4.4-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:81d5eb2a312700f4ecaa977a8235b634ce853200e828fbadf3a9c50bab278328", size = 161346, upload_time = "2025-10-14T04:41:16.738Z" }, - { url = "https://files.pythonhosted.org/packages/d5/0d/031f0d95e4972901a2f6f09ef055751805ff541511dc1252ba3ca1f80cf5/charset_normalizer-3.4.4-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5bd2293095d766545ec1a8f612559f6b40abc0eb18bb2f5d1171872d34036ede", size = 158874, upload_time = "2025-10-14T04:41:17.923Z" }, - { url = "https://files.pythonhosted.org/packages/f5/83/6ab5883f57c9c801ce5e5677242328aa45592be8a00644310a008d04f922/charset_normalizer-3.4.4-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a8a8b89589086a25749f471e6a900d3f662d1d3b6e2e59dcecf787b1cc3a1894", size = 153076, upload_time = "2025-10-14T04:41:19.106Z" }, - { url = "https://files.pythonhosted.org/packages/75/1e/5ff781ddf5260e387d6419959ee89ef13878229732732ee73cdae01800f2/charset_normalizer-3.4.4-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:bc7637e2f80d8530ee4a78e878bce464f70087ce73cf7c1caf142416923b98f1", size = 150601, upload_time = "2025-10-14T04:41:20.245Z" }, - { url = "https://files.pythonhosted.org/packages/d7/57/71be810965493d3510a6ca79b90c19e48696fb1ff964da319334b12677f0/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f8bf04158c6b607d747e93949aa60618b61312fe647a6369f88ce2ff16043490", size = 150376, upload_time = "2025-10-14T04:41:21.398Z" }, - { url = "https://files.pythonhosted.org/packages/e5/d5/c3d057a78c181d007014feb7e9f2e65905a6c4ef182c0ddf0de2924edd65/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:554af85e960429cf30784dd47447d5125aaa3b99a6f0683589dbd27e2f45da44", size = 144825, upload_time = "2025-10-14T04:41:22.583Z" }, - { url = "https://files.pythonhosted.org/packages/e6/8c/d0406294828d4976f275ffbe66f00266c4b3136b7506941d87c00cab5272/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:74018750915ee7ad843a774364e13a3db91682f26142baddf775342c3f5b1133", size = 162583, upload_time = "2025-10-14T04:41:23.754Z" }, - { url = "https://files.pythonhosted.org/packages/d7/24/e2aa1f18c8f15c4c0e932d9287b8609dd30ad56dbe41d926bd846e22fb8d/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:c0463276121fdee9c49b98908b3a89c39be45d86d1dbaa22957e38f6321d4ce3", size = 150366, upload_time = "2025-10-14T04:41:25.27Z" }, - { url = "https://files.pythonhosted.org/packages/e4/5b/1e6160c7739aad1e2df054300cc618b06bf784a7a164b0f238360721ab86/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:362d61fd13843997c1c446760ef36f240cf81d3ebf74ac62652aebaf7838561e", size = 160300, upload_time = "2025-10-14T04:41:26.725Z" }, - { url = "https://files.pythonhosted.org/packages/7a/10/f882167cd207fbdd743e55534d5d9620e095089d176d55cb22d5322f2afd/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:9a26f18905b8dd5d685d6d07b0cdf98a79f3c7a918906af7cc143ea2e164c8bc", size = 154465, upload_time = "2025-10-14T04:41:28.322Z" }, - { url = "https://files.pythonhosted.org/packages/89/66/c7a9e1b7429be72123441bfdbaf2bc13faab3f90b933f664db506dea5915/charset_normalizer-3.4.4-cp313-cp313-win32.whl", hash = "sha256:9b35f4c90079ff2e2edc5b26c0c77925e5d2d255c42c74fdb70fb49b172726ac", size = 99404, upload_time = "2025-10-14T04:41:29.95Z" }, - { url = "https://files.pythonhosted.org/packages/c4/26/b9924fa27db384bdcd97ab83b4f0a8058d96ad9626ead570674d5e737d90/charset_normalizer-3.4.4-cp313-cp313-win_amd64.whl", hash = "sha256:b435cba5f4f750aa6c0a0d92c541fb79f69a387c91e61f1795227e4ed9cece14", size = 107092, upload_time = "2025-10-14T04:41:31.188Z" }, - { url = "https://files.pythonhosted.org/packages/af/8f/3ed4bfa0c0c72a7ca17f0380cd9e4dd842b09f664e780c13cff1dcf2ef1b/charset_normalizer-3.4.4-cp313-cp313-win_arm64.whl", hash = "sha256:542d2cee80be6f80247095cc36c418f7bddd14f4a6de45af91dfad36d817bba2", size = 100408, upload_time = "2025-10-14T04:41:32.624Z" }, - { url = "https://files.pythonhosted.org/packages/2a/35/7051599bd493e62411d6ede36fd5af83a38f37c4767b92884df7301db25d/charset_normalizer-3.4.4-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:da3326d9e65ef63a817ecbcc0df6e94463713b754fe293eaa03da99befb9a5bd", size = 207746, upload_time = "2025-10-14T04:41:33.773Z" }, - { url = "https://files.pythonhosted.org/packages/10/9a/97c8d48ef10d6cd4fcead2415523221624bf58bcf68a802721a6bc807c8f/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8af65f14dc14a79b924524b1e7fffe304517b2bff5a58bf64f30b98bbc5079eb", size = 147889, upload_time = "2025-10-14T04:41:34.897Z" }, - { url = "https://files.pythonhosted.org/packages/10/bf/979224a919a1b606c82bd2c5fa49b5c6d5727aa47b4312bb27b1734f53cd/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:74664978bb272435107de04e36db5a9735e78232b85b77d45cfb38f758efd33e", size = 143641, upload_time = "2025-10-14T04:41:36.116Z" }, - { url = "https://files.pythonhosted.org/packages/ba/33/0ad65587441fc730dc7bd90e9716b30b4702dc7b617e6ba4997dc8651495/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:752944c7ffbfdd10c074dc58ec2d5a8a4cd9493b314d367c14d24c17684ddd14", size = 160779, upload_time = "2025-10-14T04:41:37.229Z" }, - { url = "https://files.pythonhosted.org/packages/67/ed/331d6b249259ee71ddea93f6f2f0a56cfebd46938bde6fcc6f7b9a3d0e09/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d1f13550535ad8cff21b8d757a3257963e951d96e20ec82ab44bc64aeb62a191", size = 159035, upload_time = "2025-10-14T04:41:38.368Z" }, - { url = "https://files.pythonhosted.org/packages/67/ff/f6b948ca32e4f2a4576aa129d8bed61f2e0543bf9f5f2b7fc3758ed005c9/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ecaae4149d99b1c9e7b88bb03e3221956f68fd6d50be2ef061b2381b61d20838", size = 152542, upload_time = "2025-10-14T04:41:39.862Z" }, - { url = "https://files.pythonhosted.org/packages/16/85/276033dcbcc369eb176594de22728541a925b2632f9716428c851b149e83/charset_normalizer-3.4.4-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:cb6254dc36b47a990e59e1068afacdcd02958bdcce30bb50cc1700a8b9d624a6", size = 149524, upload_time = "2025-10-14T04:41:41.319Z" }, - { url = "https://files.pythonhosted.org/packages/9e/f2/6a2a1f722b6aba37050e626530a46a68f74e63683947a8acff92569f979a/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c8ae8a0f02f57a6e61203a31428fa1d677cbe50c93622b4149d5c0f319c1d19e", size = 150395, upload_time = "2025-10-14T04:41:42.539Z" }, - { url = "https://files.pythonhosted.org/packages/60/bb/2186cb2f2bbaea6338cad15ce23a67f9b0672929744381e28b0592676824/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:47cc91b2f4dd2833fddaedd2893006b0106129d4b94fdb6af1f4ce5a9965577c", size = 143680, upload_time = "2025-10-14T04:41:43.661Z" }, - { url = "https://files.pythonhosted.org/packages/7d/a5/bf6f13b772fbb2a90360eb620d52ed8f796f3c5caee8398c3b2eb7b1c60d/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:82004af6c302b5d3ab2cfc4cc5f29db16123b1a8417f2e25f9066f91d4411090", size = 162045, upload_time = "2025-10-14T04:41:44.821Z" }, - { url = "https://files.pythonhosted.org/packages/df/c5/d1be898bf0dc3ef9030c3825e5d3b83f2c528d207d246cbabe245966808d/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:2b7d8f6c26245217bd2ad053761201e9f9680f8ce52f0fcd8d0755aeae5b2152", size = 149687, upload_time = "2025-10-14T04:41:46.442Z" }, - { url = "https://files.pythonhosted.org/packages/a5/42/90c1f7b9341eef50c8a1cb3f098ac43b0508413f33affd762855f67a410e/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:799a7a5e4fb2d5898c60b640fd4981d6a25f1c11790935a44ce38c54e985f828", size = 160014, upload_time = "2025-10-14T04:41:47.631Z" }, - { url = "https://files.pythonhosted.org/packages/76/be/4d3ee471e8145d12795ab655ece37baed0929462a86e72372fd25859047c/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:99ae2cffebb06e6c22bdc25801d7b30f503cc87dbd283479e7b606f70aff57ec", size = 154044, upload_time = "2025-10-14T04:41:48.81Z" }, - { url = "https://files.pythonhosted.org/packages/b0/6f/8f7af07237c34a1defe7defc565a9bc1807762f672c0fde711a4b22bf9c0/charset_normalizer-3.4.4-cp314-cp314-win32.whl", hash = "sha256:f9d332f8c2a2fcbffe1378594431458ddbef721c1769d78e2cbc06280d8155f9", size = 99940, upload_time = "2025-10-14T04:41:49.946Z" }, - { url = "https://files.pythonhosted.org/packages/4b/51/8ade005e5ca5b0d80fb4aff72a3775b325bdc3d27408c8113811a7cbe640/charset_normalizer-3.4.4-cp314-cp314-win_amd64.whl", hash = "sha256:8a6562c3700cce886c5be75ade4a5db4214fda19fede41d9792d100288d8f94c", size = 107104, upload_time = "2025-10-14T04:41:51.051Z" }, - { url = "https://files.pythonhosted.org/packages/da/5f/6b8f83a55bb8278772c5ae54a577f3099025f9ade59d0136ac24a0df4bde/charset_normalizer-3.4.4-cp314-cp314-win_arm64.whl", hash = "sha256:de00632ca48df9daf77a2c65a484531649261ec9f25489917f09e455cb09ddb2", size = 100743, upload_time = "2025-10-14T04:41:52.122Z" }, - { url = "https://files.pythonhosted.org/packages/0a/4c/925909008ed5a988ccbb72dcc897407e5d6d3bd72410d69e051fc0c14647/charset_normalizer-3.4.4-py3-none-any.whl", hash = "sha256:7a32c560861a02ff789ad905a2fe94e3f840803362c84fecf1851cb4cf3dc37f", size = 53402, upload_time = "2025-10-14T04:42:31.76Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/13/69/33ddede1939fdd074bce5434295f38fae7136463422fe4fd3e0e89b98062/charset_normalizer-3.4.4.tar.gz", hash = "sha256:94537985111c35f28720e43603b8e7b43a6ecfb2ce1d3058bbe955b73404e21a", size = 129418, upload-time = "2025-10-14T04:42:32.879Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f3/85/1637cd4af66fa687396e757dec650f28025f2a2f5a5531a3208dc0ec43f2/charset_normalizer-3.4.4-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0a98e6759f854bd25a58a73fa88833fba3b7c491169f86ce1180c948ab3fd394", size = 208425, upload-time = "2025-10-14T04:40:53.353Z" }, + { url = "https://files.pythonhosted.org/packages/9d/6a/04130023fef2a0d9c62d0bae2649b69f7b7d8d24ea5536feef50551029df/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b5b290ccc2a263e8d185130284f8501e3e36c5e02750fc6b6bdeb2e9e96f1e25", size = 148162, upload-time = "2025-10-14T04:40:54.558Z" }, + { url = "https://files.pythonhosted.org/packages/78/29/62328d79aa60da22c9e0b9a66539feae06ca0f5a4171ac4f7dc285b83688/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:74bb723680f9f7a6234dcf67aea57e708ec1fbdf5699fb91dfd6f511b0a320ef", size = 144558, upload-time = "2025-10-14T04:40:55.677Z" }, + { url = "https://files.pythonhosted.org/packages/86/bb/b32194a4bf15b88403537c2e120b817c61cd4ecffa9b6876e941c3ee38fe/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f1e34719c6ed0b92f418c7c780480b26b5d9c50349e9a9af7d76bf757530350d", size = 161497, upload-time = "2025-10-14T04:40:57.217Z" }, + { url = "https://files.pythonhosted.org/packages/19/89/a54c82b253d5b9b111dc74aca196ba5ccfcca8242d0fb64146d4d3183ff1/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:2437418e20515acec67d86e12bf70056a33abdacb5cb1655042f6538d6b085a8", size = 159240, upload-time = "2025-10-14T04:40:58.358Z" }, + { url = "https://files.pythonhosted.org/packages/c0/10/d20b513afe03acc89ec33948320a5544d31f21b05368436d580dec4e234d/charset_normalizer-3.4.4-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:11d694519d7f29d6cd09f6ac70028dba10f92f6cdd059096db198c283794ac86", size = 153471, upload-time = "2025-10-14T04:40:59.468Z" }, + { url = "https://files.pythonhosted.org/packages/61/fa/fbf177b55bdd727010f9c0a3c49eefa1d10f960e5f09d1d887bf93c2e698/charset_normalizer-3.4.4-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:ac1c4a689edcc530fc9d9aa11f5774b9e2f33f9a0c6a57864e90908f5208d30a", size = 150864, upload-time = "2025-10-14T04:41:00.623Z" }, + { url = "https://files.pythonhosted.org/packages/05/12/9fbc6a4d39c0198adeebbde20b619790e9236557ca59fc40e0e3cebe6f40/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:21d142cc6c0ec30d2efee5068ca36c128a30b0f2c53c1c07bd78cb6bc1d3be5f", size = 150647, upload-time = "2025-10-14T04:41:01.754Z" }, + { url = "https://files.pythonhosted.org/packages/ad/1f/6a9a593d52e3e8c5d2b167daf8c6b968808efb57ef4c210acb907c365bc4/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:5dbe56a36425d26d6cfb40ce79c314a2e4dd6211d51d6d2191c00bed34f354cc", size = 145110, upload-time = "2025-10-14T04:41:03.231Z" }, + { url = "https://files.pythonhosted.org/packages/30/42/9a52c609e72471b0fc54386dc63c3781a387bb4fe61c20231a4ebcd58bdd/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:5bfbb1b9acf3334612667b61bd3002196fe2a1eb4dd74d247e0f2a4d50ec9bbf", size = 162839, upload-time = "2025-10-14T04:41:04.715Z" }, + { url = "https://files.pythonhosted.org/packages/c4/5b/c0682bbf9f11597073052628ddd38344a3d673fda35a36773f7d19344b23/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:d055ec1e26e441f6187acf818b73564e6e6282709e9bcb5b63f5b23068356a15", size = 150667, upload-time = "2025-10-14T04:41:05.827Z" }, + { url = "https://files.pythonhosted.org/packages/e4/24/a41afeab6f990cf2daf6cb8c67419b63b48cf518e4f56022230840c9bfb2/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:af2d8c67d8e573d6de5bc30cdb27e9b95e49115cd9baad5ddbd1a6207aaa82a9", size = 160535, upload-time = "2025-10-14T04:41:06.938Z" }, + { url = "https://files.pythonhosted.org/packages/2a/e5/6a4ce77ed243c4a50a1fecca6aaaab419628c818a49434be428fe24c9957/charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:780236ac706e66881f3b7f2f32dfe90507a09e67d1d454c762cf642e6e1586e0", size = 154816, upload-time = "2025-10-14T04:41:08.101Z" }, + { url = "https://files.pythonhosted.org/packages/a8/ef/89297262b8092b312d29cdb2517cb1237e51db8ecef2e9af5edbe7b683b1/charset_normalizer-3.4.4-cp312-cp312-win32.whl", hash = "sha256:5833d2c39d8896e4e19b689ffc198f08ea58116bee26dea51e362ecc7cd3ed26", size = 99694, upload-time = "2025-10-14T04:41:09.23Z" }, + { url = "https://files.pythonhosted.org/packages/3d/2d/1e5ed9dd3b3803994c155cd9aacb60c82c331bad84daf75bcb9c91b3295e/charset_normalizer-3.4.4-cp312-cp312-win_amd64.whl", hash = "sha256:a79cfe37875f822425b89a82333404539ae63dbdddf97f84dcbc3d339aae9525", size = 107131, upload-time = "2025-10-14T04:41:10.467Z" }, + { url = "https://files.pythonhosted.org/packages/d0/d9/0ed4c7098a861482a7b6a95603edce4c0d9db2311af23da1fb2b75ec26fc/charset_normalizer-3.4.4-cp312-cp312-win_arm64.whl", hash = "sha256:376bec83a63b8021bb5c8ea75e21c4ccb86e7e45ca4eb81146091b56599b80c3", size = 100390, upload-time = "2025-10-14T04:41:11.915Z" }, + { url = "https://files.pythonhosted.org/packages/97/45/4b3a1239bbacd321068ea6e7ac28875b03ab8bc0aa0966452db17cd36714/charset_normalizer-3.4.4-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:e1f185f86a6f3403aa2420e815904c67b2f9ebc443f045edd0de921108345794", size = 208091, upload-time = "2025-10-14T04:41:13.346Z" }, + { url = "https://files.pythonhosted.org/packages/7d/62/73a6d7450829655a35bb88a88fca7d736f9882a27eacdca2c6d505b57e2e/charset_normalizer-3.4.4-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b39f987ae8ccdf0d2642338faf2abb1862340facc796048b604ef14919e55ed", size = 147936, upload-time = "2025-10-14T04:41:14.461Z" }, + { url = "https://files.pythonhosted.org/packages/89/c5/adb8c8b3d6625bef6d88b251bbb0d95f8205831b987631ab0c8bb5d937c2/charset_normalizer-3.4.4-cp313-cp313-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:3162d5d8ce1bb98dd51af660f2121c55d0fa541b46dff7bb9b9f86ea1d87de72", size = 144180, upload-time = "2025-10-14T04:41:15.588Z" }, + { url = "https://files.pythonhosted.org/packages/91/ed/9706e4070682d1cc219050b6048bfd293ccf67b3d4f5a4f39207453d4b99/charset_normalizer-3.4.4-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:81d5eb2a312700f4ecaa977a8235b634ce853200e828fbadf3a9c50bab278328", size = 161346, upload-time = "2025-10-14T04:41:16.738Z" }, + { url = "https://files.pythonhosted.org/packages/d5/0d/031f0d95e4972901a2f6f09ef055751805ff541511dc1252ba3ca1f80cf5/charset_normalizer-3.4.4-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5bd2293095d766545ec1a8f612559f6b40abc0eb18bb2f5d1171872d34036ede", size = 158874, upload-time = "2025-10-14T04:41:17.923Z" }, + { url = "https://files.pythonhosted.org/packages/f5/83/6ab5883f57c9c801ce5e5677242328aa45592be8a00644310a008d04f922/charset_normalizer-3.4.4-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a8a8b89589086a25749f471e6a900d3f662d1d3b6e2e59dcecf787b1cc3a1894", size = 153076, upload-time = "2025-10-14T04:41:19.106Z" }, + { url = "https://files.pythonhosted.org/packages/75/1e/5ff781ddf5260e387d6419959ee89ef13878229732732ee73cdae01800f2/charset_normalizer-3.4.4-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:bc7637e2f80d8530ee4a78e878bce464f70087ce73cf7c1caf142416923b98f1", size = 150601, upload-time = "2025-10-14T04:41:20.245Z" }, + { url = "https://files.pythonhosted.org/packages/d7/57/71be810965493d3510a6ca79b90c19e48696fb1ff964da319334b12677f0/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f8bf04158c6b607d747e93949aa60618b61312fe647a6369f88ce2ff16043490", size = 150376, upload-time = "2025-10-14T04:41:21.398Z" }, + { url = "https://files.pythonhosted.org/packages/e5/d5/c3d057a78c181d007014feb7e9f2e65905a6c4ef182c0ddf0de2924edd65/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:554af85e960429cf30784dd47447d5125aaa3b99a6f0683589dbd27e2f45da44", size = 144825, upload-time = "2025-10-14T04:41:22.583Z" }, + { url = "https://files.pythonhosted.org/packages/e6/8c/d0406294828d4976f275ffbe66f00266c4b3136b7506941d87c00cab5272/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:74018750915ee7ad843a774364e13a3db91682f26142baddf775342c3f5b1133", size = 162583, upload-time = "2025-10-14T04:41:23.754Z" }, + { url = "https://files.pythonhosted.org/packages/d7/24/e2aa1f18c8f15c4c0e932d9287b8609dd30ad56dbe41d926bd846e22fb8d/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:c0463276121fdee9c49b98908b3a89c39be45d86d1dbaa22957e38f6321d4ce3", size = 150366, upload-time = "2025-10-14T04:41:25.27Z" }, + { url = "https://files.pythonhosted.org/packages/e4/5b/1e6160c7739aad1e2df054300cc618b06bf784a7a164b0f238360721ab86/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:362d61fd13843997c1c446760ef36f240cf81d3ebf74ac62652aebaf7838561e", size = 160300, upload-time = "2025-10-14T04:41:26.725Z" }, + { url = "https://files.pythonhosted.org/packages/7a/10/f882167cd207fbdd743e55534d5d9620e095089d176d55cb22d5322f2afd/charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:9a26f18905b8dd5d685d6d07b0cdf98a79f3c7a918906af7cc143ea2e164c8bc", size = 154465, upload-time = "2025-10-14T04:41:28.322Z" }, + { url = "https://files.pythonhosted.org/packages/89/66/c7a9e1b7429be72123441bfdbaf2bc13faab3f90b933f664db506dea5915/charset_normalizer-3.4.4-cp313-cp313-win32.whl", hash = "sha256:9b35f4c90079ff2e2edc5b26c0c77925e5d2d255c42c74fdb70fb49b172726ac", size = 99404, upload-time = "2025-10-14T04:41:29.95Z" }, + { url = "https://files.pythonhosted.org/packages/c4/26/b9924fa27db384bdcd97ab83b4f0a8058d96ad9626ead570674d5e737d90/charset_normalizer-3.4.4-cp313-cp313-win_amd64.whl", hash = "sha256:b435cba5f4f750aa6c0a0d92c541fb79f69a387c91e61f1795227e4ed9cece14", size = 107092, upload-time = "2025-10-14T04:41:31.188Z" }, + { url = "https://files.pythonhosted.org/packages/af/8f/3ed4bfa0c0c72a7ca17f0380cd9e4dd842b09f664e780c13cff1dcf2ef1b/charset_normalizer-3.4.4-cp313-cp313-win_arm64.whl", hash = "sha256:542d2cee80be6f80247095cc36c418f7bddd14f4a6de45af91dfad36d817bba2", size = 100408, upload-time = "2025-10-14T04:41:32.624Z" }, + { url = "https://files.pythonhosted.org/packages/2a/35/7051599bd493e62411d6ede36fd5af83a38f37c4767b92884df7301db25d/charset_normalizer-3.4.4-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:da3326d9e65ef63a817ecbcc0df6e94463713b754fe293eaa03da99befb9a5bd", size = 207746, upload-time = "2025-10-14T04:41:33.773Z" }, + { url = "https://files.pythonhosted.org/packages/10/9a/97c8d48ef10d6cd4fcead2415523221624bf58bcf68a802721a6bc807c8f/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8af65f14dc14a79b924524b1e7fffe304517b2bff5a58bf64f30b98bbc5079eb", size = 147889, upload-time = "2025-10-14T04:41:34.897Z" }, + { url = "https://files.pythonhosted.org/packages/10/bf/979224a919a1b606c82bd2c5fa49b5c6d5727aa47b4312bb27b1734f53cd/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:74664978bb272435107de04e36db5a9735e78232b85b77d45cfb38f758efd33e", size = 143641, upload-time = "2025-10-14T04:41:36.116Z" }, + { url = "https://files.pythonhosted.org/packages/ba/33/0ad65587441fc730dc7bd90e9716b30b4702dc7b617e6ba4997dc8651495/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:752944c7ffbfdd10c074dc58ec2d5a8a4cd9493b314d367c14d24c17684ddd14", size = 160779, upload-time = "2025-10-14T04:41:37.229Z" }, + { url = "https://files.pythonhosted.org/packages/67/ed/331d6b249259ee71ddea93f6f2f0a56cfebd46938bde6fcc6f7b9a3d0e09/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d1f13550535ad8cff21b8d757a3257963e951d96e20ec82ab44bc64aeb62a191", size = 159035, upload-time = "2025-10-14T04:41:38.368Z" }, + { url = "https://files.pythonhosted.org/packages/67/ff/f6b948ca32e4f2a4576aa129d8bed61f2e0543bf9f5f2b7fc3758ed005c9/charset_normalizer-3.4.4-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ecaae4149d99b1c9e7b88bb03e3221956f68fd6d50be2ef061b2381b61d20838", size = 152542, upload-time = "2025-10-14T04:41:39.862Z" }, + { url = "https://files.pythonhosted.org/packages/16/85/276033dcbcc369eb176594de22728541a925b2632f9716428c851b149e83/charset_normalizer-3.4.4-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:cb6254dc36b47a990e59e1068afacdcd02958bdcce30bb50cc1700a8b9d624a6", size = 149524, upload-time = "2025-10-14T04:41:41.319Z" }, + { url = "https://files.pythonhosted.org/packages/9e/f2/6a2a1f722b6aba37050e626530a46a68f74e63683947a8acff92569f979a/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c8ae8a0f02f57a6e61203a31428fa1d677cbe50c93622b4149d5c0f319c1d19e", size = 150395, upload-time = "2025-10-14T04:41:42.539Z" }, + { url = "https://files.pythonhosted.org/packages/60/bb/2186cb2f2bbaea6338cad15ce23a67f9b0672929744381e28b0592676824/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:47cc91b2f4dd2833fddaedd2893006b0106129d4b94fdb6af1f4ce5a9965577c", size = 143680, upload-time = "2025-10-14T04:41:43.661Z" }, + { url = "https://files.pythonhosted.org/packages/7d/a5/bf6f13b772fbb2a90360eb620d52ed8f796f3c5caee8398c3b2eb7b1c60d/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:82004af6c302b5d3ab2cfc4cc5f29db16123b1a8417f2e25f9066f91d4411090", size = 162045, upload-time = "2025-10-14T04:41:44.821Z" }, + { url = "https://files.pythonhosted.org/packages/df/c5/d1be898bf0dc3ef9030c3825e5d3b83f2c528d207d246cbabe245966808d/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:2b7d8f6c26245217bd2ad053761201e9f9680f8ce52f0fcd8d0755aeae5b2152", size = 149687, upload-time = "2025-10-14T04:41:46.442Z" }, + { url = "https://files.pythonhosted.org/packages/a5/42/90c1f7b9341eef50c8a1cb3f098ac43b0508413f33affd762855f67a410e/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:799a7a5e4fb2d5898c60b640fd4981d6a25f1c11790935a44ce38c54e985f828", size = 160014, upload-time = "2025-10-14T04:41:47.631Z" }, + { url = "https://files.pythonhosted.org/packages/76/be/4d3ee471e8145d12795ab655ece37baed0929462a86e72372fd25859047c/charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:99ae2cffebb06e6c22bdc25801d7b30f503cc87dbd283479e7b606f70aff57ec", size = 154044, upload-time = "2025-10-14T04:41:48.81Z" }, + { url = "https://files.pythonhosted.org/packages/b0/6f/8f7af07237c34a1defe7defc565a9bc1807762f672c0fde711a4b22bf9c0/charset_normalizer-3.4.4-cp314-cp314-win32.whl", hash = "sha256:f9d332f8c2a2fcbffe1378594431458ddbef721c1769d78e2cbc06280d8155f9", size = 99940, upload-time = "2025-10-14T04:41:49.946Z" }, + { url = "https://files.pythonhosted.org/packages/4b/51/8ade005e5ca5b0d80fb4aff72a3775b325bdc3d27408c8113811a7cbe640/charset_normalizer-3.4.4-cp314-cp314-win_amd64.whl", hash = "sha256:8a6562c3700cce886c5be75ade4a5db4214fda19fede41d9792d100288d8f94c", size = 107104, upload-time = "2025-10-14T04:41:51.051Z" }, + { url = "https://files.pythonhosted.org/packages/da/5f/6b8f83a55bb8278772c5ae54a577f3099025f9ade59d0136ac24a0df4bde/charset_normalizer-3.4.4-cp314-cp314-win_arm64.whl", hash = "sha256:de00632ca48df9daf77a2c65a484531649261ec9f25489917f09e455cb09ddb2", size = 100743, upload-time = "2025-10-14T04:41:52.122Z" }, + { url = "https://files.pythonhosted.org/packages/0a/4c/925909008ed5a988ccbb72dcc897407e5d6d3bd72410d69e051fc0c14647/charset_normalizer-3.4.4-py3-none-any.whl", hash = "sha256:7a32c560861a02ff789ad905a2fe94e3f840803362c84fecf1851cb4cf3dc37f", size = 53402, upload-time = "2025-10-14T04:42:31.76Z" }, ] [[package]] @@ -330,27 +339,27 @@ 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/3d/fa/656b739db8587d7b5dfa22e22ed02566950fbfbcdc20311993483657a5c0/click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a", size = 295065, upload-time = "2025-11-15T20:45:42.706Z" } 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/98/78/01c019cdb5d6498122777c1a43056ebb3ebfeef2076d9d026bfe15583b2b/click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6", size = 108274, upload-time = "2025-11-15T20:45:41.139Z" }, ] [[package]] name = "colorama" version = "0.4.6" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload_time = "2022-10-25T02:36:22.414Z" } +sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload_time = "2022-10-25T02:36:20.889Z" }, + { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" }, ] [[package]] name = "comm" version = "0.2.3" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/4c/13/7d740c5849255756bc17888787313b61fd38a0a8304fc4f073dfc46122aa/comm-0.2.3.tar.gz", hash = "sha256:2dc8048c10962d55d7ad693be1e7045d891b7ce8d999c97963a5e3e99c055971", size = 6319, upload_time = "2025-07-25T14:02:04.452Z" } +sdist = { url = "https://files.pythonhosted.org/packages/4c/13/7d740c5849255756bc17888787313b61fd38a0a8304fc4f073dfc46122aa/comm-0.2.3.tar.gz", hash = "sha256:2dc8048c10962d55d7ad693be1e7045d891b7ce8d999c97963a5e3e99c055971", size = 6319, upload-time = "2025-07-25T14:02:04.452Z" } 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" }, + { 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]] @@ -360,137 +369,137 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { 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 = [ - { url = "https://files.pythonhosted.org/packages/be/45/adfee365d9ea3d853550b2e735f9d66366701c65db7855cd07621732ccfc/contourpy-1.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b08a32ea2f8e42cf1d4be3169a98dd4be32bafe4f22b6c4cb4ba810fa9e5d2cb", size = 293419, upload_time = "2025-07-26T12:01:21.16Z" }, - { url = "https://files.pythonhosted.org/packages/53/3e/405b59cfa13021a56bba395a6b3aca8cec012b45bf177b0eaf7a202cde2c/contourpy-1.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:556dba8fb6f5d8742f2923fe9457dbdd51e1049c4a43fd3986a0b14a1d815fc6", size = 273979, upload_time = "2025-07-26T12:01:22.448Z" }, - { url = "https://files.pythonhosted.org/packages/d4/1c/a12359b9b2ca3a845e8f7f9ac08bdf776114eb931392fcad91743e2ea17b/contourpy-1.3.3-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92d9abc807cf7d0e047b95ca5d957cf4792fcd04e920ca70d48add15c1a90ea7", size = 332653, upload_time = "2025-07-26T12:01:24.155Z" }, - { url = "https://files.pythonhosted.org/packages/63/12/897aeebfb475b7748ea67b61e045accdfcf0d971f8a588b67108ed7f5512/contourpy-1.3.3-cp312-cp312-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b2e8faa0ed68cb29af51edd8e24798bb661eac3bd9f65420c1887b6ca89987c8", size = 379536, upload_time = "2025-07-26T12:01:25.91Z" }, - { url = "https://files.pythonhosted.org/packages/43/8a/a8c584b82deb248930ce069e71576fc09bd7174bbd35183b7943fb1064fd/contourpy-1.3.3-cp312-cp312-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:626d60935cf668e70a5ce6ff184fd713e9683fb458898e4249b63be9e28286ea", size = 384397, upload_time = "2025-07-26T12:01:27.152Z" }, - { url = "https://files.pythonhosted.org/packages/cc/8f/ec6289987824b29529d0dfda0d74a07cec60e54b9c92f3c9da4c0ac732de/contourpy-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d00e655fcef08aba35ec9610536bfe90267d7ab5ba944f7032549c55a146da1", size = 362601, upload_time = "2025-07-26T12:01:28.808Z" }, - { url = "https://files.pythonhosted.org/packages/05/0a/a3fe3be3ee2dceb3e615ebb4df97ae6f3828aa915d3e10549ce016302bd1/contourpy-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:451e71b5a7d597379ef572de31eeb909a87246974d960049a9848c3bc6c41bf7", size = 1331288, upload_time = "2025-07-26T12:01:31.198Z" }, - { url = "https://files.pythonhosted.org/packages/33/1d/acad9bd4e97f13f3e2b18a3977fe1b4a37ecf3d38d815333980c6c72e963/contourpy-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:459c1f020cd59fcfe6650180678a9993932d80d44ccde1fa1868977438f0b411", size = 1403386, upload_time = "2025-07-26T12:01:33.947Z" }, - { 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" }, +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 = [ + { url = "https://files.pythonhosted.org/packages/be/45/adfee365d9ea3d853550b2e735f9d66366701c65db7855cd07621732ccfc/contourpy-1.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b08a32ea2f8e42cf1d4be3169a98dd4be32bafe4f22b6c4cb4ba810fa9e5d2cb", size = 293419, upload-time = "2025-07-26T12:01:21.16Z" }, + { url = "https://files.pythonhosted.org/packages/53/3e/405b59cfa13021a56bba395a6b3aca8cec012b45bf177b0eaf7a202cde2c/contourpy-1.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:556dba8fb6f5d8742f2923fe9457dbdd51e1049c4a43fd3986a0b14a1d815fc6", size = 273979, upload-time = "2025-07-26T12:01:22.448Z" }, + { url = "https://files.pythonhosted.org/packages/d4/1c/a12359b9b2ca3a845e8f7f9ac08bdf776114eb931392fcad91743e2ea17b/contourpy-1.3.3-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92d9abc807cf7d0e047b95ca5d957cf4792fcd04e920ca70d48add15c1a90ea7", size = 332653, upload-time = "2025-07-26T12:01:24.155Z" }, + { url = "https://files.pythonhosted.org/packages/63/12/897aeebfb475b7748ea67b61e045accdfcf0d971f8a588b67108ed7f5512/contourpy-1.3.3-cp312-cp312-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b2e8faa0ed68cb29af51edd8e24798bb661eac3bd9f65420c1887b6ca89987c8", size = 379536, upload-time = "2025-07-26T12:01:25.91Z" }, + { url = "https://files.pythonhosted.org/packages/43/8a/a8c584b82deb248930ce069e71576fc09bd7174bbd35183b7943fb1064fd/contourpy-1.3.3-cp312-cp312-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:626d60935cf668e70a5ce6ff184fd713e9683fb458898e4249b63be9e28286ea", size = 384397, upload-time = "2025-07-26T12:01:27.152Z" }, + { url = "https://files.pythonhosted.org/packages/cc/8f/ec6289987824b29529d0dfda0d74a07cec60e54b9c92f3c9da4c0ac732de/contourpy-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d00e655fcef08aba35ec9610536bfe90267d7ab5ba944f7032549c55a146da1", size = 362601, upload-time = "2025-07-26T12:01:28.808Z" }, + { url = "https://files.pythonhosted.org/packages/05/0a/a3fe3be3ee2dceb3e615ebb4df97ae6f3828aa915d3e10549ce016302bd1/contourpy-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:451e71b5a7d597379ef572de31eeb909a87246974d960049a9848c3bc6c41bf7", size = 1331288, upload-time = "2025-07-26T12:01:31.198Z" }, + { url = "https://files.pythonhosted.org/packages/33/1d/acad9bd4e97f13f3e2b18a3977fe1b4a37ecf3d38d815333980c6c72e963/contourpy-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:459c1f020cd59fcfe6650180678a9993932d80d44ccde1fa1868977438f0b411", size = 1403386, upload-time = "2025-07-26T12:01:33.947Z" }, + { 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" }, ] [[package]] name = "coverage" version = "7.12.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/89/26/4a96807b193b011588099c3b5c89fbb05294e5b90e71018e065465f34eb6/coverage-7.12.0.tar.gz", hash = "sha256:fc11e0a4e372cb5f282f16ef90d4a585034050ccda536451901abfb19a57f40c", size = 819341, upload_time = "2025-11-18T13:34:20.766Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/02/bf/638c0427c0f0d47638242e2438127f3c8ee3cfc06c7fdeb16778ed47f836/coverage-7.12.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:29644c928772c78512b48e14156b81255000dcfd4817574ff69def189bcb3647", size = 217704, upload_time = "2025-11-18T13:32:28.906Z" }, - { url = "https://files.pythonhosted.org/packages/08/e1/706fae6692a66c2d6b871a608bbde0da6281903fa0e9f53a39ed441da36a/coverage-7.12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8638cbb002eaa5d7c8d04da667813ce1067080b9a91099801a0053086e52b736", size = 218064, upload_time = "2025-11-18T13:32:30.161Z" }, - { url = "https://files.pythonhosted.org/packages/a9/8b/eb0231d0540f8af3ffda39720ff43cb91926489d01524e68f60e961366e4/coverage-7.12.0-cp312-cp312-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:083631eeff5eb9992c923e14b810a179798bb598e6a0dd60586819fc23be6e60", size = 249560, upload_time = "2025-11-18T13:32:31.835Z" }, - { url = "https://files.pythonhosted.org/packages/e9/a1/67fb52af642e974d159b5b379e4d4c59d0ebe1288677fbd04bbffe665a82/coverage-7.12.0-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:99d5415c73ca12d558e07776bd957c4222c687b9f1d26fa0e1b57e3598bdcde8", size = 252318, upload_time = "2025-11-18T13:32:33.178Z" }, - { url = "https://files.pythonhosted.org/packages/41/e5/38228f31b2c7665ebf9bdfdddd7a184d56450755c7e43ac721c11a4b8dab/coverage-7.12.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e949ebf60c717c3df63adb4a1a366c096c8d7fd8472608cd09359e1bd48ef59f", size = 253403, upload_time = "2025-11-18T13:32:34.45Z" }, - { url = "https://files.pythonhosted.org/packages/ec/4b/df78e4c8188f9960684267c5a4897836f3f0f20a20c51606ee778a1d9749/coverage-7.12.0-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:6d907ddccbca819afa2cd014bc69983b146cca2735a0b1e6259b2a6c10be1e70", size = 249984, upload_time = "2025-11-18T13:32:35.747Z" }, - { url = "https://files.pythonhosted.org/packages/ba/51/bb163933d195a345c6f63eab9e55743413d064c291b6220df754075c2769/coverage-7.12.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:b1518ecbad4e6173f4c6e6c4a46e49555ea5679bf3feda5edb1b935c7c44e8a0", size = 251339, upload_time = "2025-11-18T13:32:37.352Z" }, - { url = "https://files.pythonhosted.org/packages/15/40/c9b29cdb8412c837cdcbc2cfa054547dd83affe6cbbd4ce4fdb92b6ba7d1/coverage-7.12.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:51777647a749abdf6f6fd8c7cffab12de68ab93aab15efc72fbbb83036c2a068", size = 249489, upload_time = "2025-11-18T13:32:39.212Z" }, - { url = "https://files.pythonhosted.org/packages/c8/da/b3131e20ba07a0de4437a50ef3b47840dfabf9293675b0cd5c2c7f66dd61/coverage-7.12.0-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:42435d46d6461a3b305cdfcad7cdd3248787771f53fe18305548cba474e6523b", size = 249070, upload_time = "2025-11-18T13:32:40.598Z" }, - { url = "https://files.pythonhosted.org/packages/70/81/b653329b5f6302c08d683ceff6785bc60a34be9ae92a5c7b63ee7ee7acec/coverage-7.12.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5bcead88c8423e1855e64b8057d0544e33e4080b95b240c2a355334bb7ced937", size = 250929, upload_time = "2025-11-18T13:32:42.915Z" }, - { url = "https://files.pythonhosted.org/packages/a3/00/250ac3bca9f252a5fb1338b5ad01331ebb7b40223f72bef5b1b2cb03aa64/coverage-7.12.0-cp312-cp312-win32.whl", hash = "sha256:dcbb630ab034e86d2a0f79aefd2be07e583202f41e037602d438c80044957baa", size = 220241, upload_time = "2025-11-18T13:32:44.665Z" }, - { url = "https://files.pythonhosted.org/packages/64/1c/77e79e76d37ce83302f6c21980b45e09f8aa4551965213a10e62d71ce0ab/coverage-7.12.0-cp312-cp312-win_amd64.whl", hash = "sha256:2fd8354ed5d69775ac42986a691fbf68b4084278710cee9d7c3eaa0c28fa982a", size = 221051, upload_time = "2025-11-18T13:32:46.008Z" }, - { url = "https://files.pythonhosted.org/packages/31/f5/641b8a25baae564f9e52cac0e2667b123de961985709a004e287ee7663cc/coverage-7.12.0-cp312-cp312-win_arm64.whl", hash = "sha256:737c3814903be30695b2de20d22bcc5428fdae305c61ba44cdc8b3252984c49c", size = 219692, upload_time = "2025-11-18T13:32:47.372Z" }, - { url = "https://files.pythonhosted.org/packages/b8/14/771700b4048774e48d2c54ed0c674273702713c9ee7acdfede40c2666747/coverage-7.12.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:47324fffca8d8eae7e185b5bb20c14645f23350f870c1649003618ea91a78941", size = 217725, upload_time = "2025-11-18T13:32:49.22Z" }, - { url = "https://files.pythonhosted.org/packages/17/a7/3aa4144d3bcb719bf67b22d2d51c2d577bf801498c13cb08f64173e80497/coverage-7.12.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:ccf3b2ede91decd2fb53ec73c1f949c3e034129d1e0b07798ff1d02ea0c8fa4a", size = 218098, upload_time = "2025-11-18T13:32:50.78Z" }, - { url = "https://files.pythonhosted.org/packages/fc/9c/b846bbc774ff81091a12a10203e70562c91ae71badda00c5ae5b613527b1/coverage-7.12.0-cp313-cp313-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:b365adc70a6936c6b0582dc38746b33b2454148c02349345412c6e743efb646d", size = 249093, upload_time = "2025-11-18T13:32:52.554Z" }, - { url = "https://files.pythonhosted.org/packages/76/b6/67d7c0e1f400b32c883e9342de4a8c2ae7c1a0b57c5de87622b7262e2309/coverage-7.12.0-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:bc13baf85cd8a4cfcf4a35c7bc9d795837ad809775f782f697bf630b7e200211", size = 251686, upload_time = "2025-11-18T13:32:54.862Z" }, - { url = "https://files.pythonhosted.org/packages/cc/75/b095bd4b39d49c3be4bffbb3135fea18a99a431c52dd7513637c0762fecb/coverage-7.12.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:099d11698385d572ceafb3288a5b80fe1fc58bf665b3f9d362389de488361d3d", size = 252930, upload_time = "2025-11-18T13:32:56.417Z" }, - { url = "https://files.pythonhosted.org/packages/6e/f3/466f63015c7c80550bead3093aacabf5380c1220a2a93c35d374cae8f762/coverage-7.12.0-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:473dc45d69694069adb7680c405fb1e81f60b2aff42c81e2f2c3feaf544d878c", size = 249296, upload_time = "2025-11-18T13:32:58.074Z" }, - { url = "https://files.pythonhosted.org/packages/27/86/eba2209bf2b7e28c68698fc13437519a295b2d228ba9e0ec91673e09fa92/coverage-7.12.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:583f9adbefd278e9de33c33d6846aa8f5d164fa49b47144180a0e037f0688bb9", size = 251068, upload_time = "2025-11-18T13:32:59.646Z" }, - { url = "https://files.pythonhosted.org/packages/ec/55/ca8ae7dbba962a3351f18940b359b94c6bafdd7757945fdc79ec9e452dc7/coverage-7.12.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:b2089cc445f2dc0af6f801f0d1355c025b76c24481935303cf1af28f636688f0", size = 249034, upload_time = "2025-11-18T13:33:01.481Z" }, - { url = "https://files.pythonhosted.org/packages/7a/d7/39136149325cad92d420b023b5fd900dabdd1c3a0d1d5f148ef4a8cedef5/coverage-7.12.0-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:950411f1eb5d579999c5f66c62a40961f126fc71e5e14419f004471957b51508", size = 248853, upload_time = "2025-11-18T13:33:02.935Z" }, - { url = "https://files.pythonhosted.org/packages/fe/b6/76e1add8b87ef60e00643b0b7f8f7bb73d4bf5249a3be19ebefc5793dd25/coverage-7.12.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b1aab7302a87bafebfe76b12af681b56ff446dc6f32ed178ff9c092ca776e6bc", size = 250619, upload_time = "2025-11-18T13:33:04.336Z" }, - { url = "https://files.pythonhosted.org/packages/95/87/924c6dc64f9203f7a3c1832a6a0eee5a8335dbe5f1bdadcc278d6f1b4d74/coverage-7.12.0-cp313-cp313-win32.whl", hash = "sha256:d7e0d0303c13b54db495eb636bc2465b2fb8475d4c8bcec8fe4b5ca454dfbae8", size = 220261, upload_time = "2025-11-18T13:33:06.493Z" }, - { url = "https://files.pythonhosted.org/packages/91/77/dd4aff9af16ff776bf355a24d87eeb48fc6acde54c907cc1ea89b14a8804/coverage-7.12.0-cp313-cp313-win_amd64.whl", hash = "sha256:ce61969812d6a98a981d147d9ac583a36ac7db7766f2e64a9d4d059c2fe29d07", size = 221072, upload_time = "2025-11-18T13:33:07.926Z" }, - { url = "https://files.pythonhosted.org/packages/70/49/5c9dc46205fef31b1b226a6e16513193715290584317fd4df91cdaf28b22/coverage-7.12.0-cp313-cp313-win_arm64.whl", hash = "sha256:bcec6f47e4cb8a4c2dc91ce507f6eefc6a1b10f58df32cdc61dff65455031dfc", size = 219702, upload_time = "2025-11-18T13:33:09.631Z" }, - { url = "https://files.pythonhosted.org/packages/9b/62/f87922641c7198667994dd472a91e1d9b829c95d6c29529ceb52132436ad/coverage-7.12.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:459443346509476170d553035e4a3eed7b860f4fe5242f02de1010501956ce87", size = 218420, upload_time = "2025-11-18T13:33:11.153Z" }, - { url = "https://files.pythonhosted.org/packages/85/dd/1cc13b2395ef15dbb27d7370a2509b4aee77890a464fb35d72d428f84871/coverage-7.12.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:04a79245ab2b7a61688958f7a855275997134bc84f4a03bc240cf64ff132abf6", size = 218773, upload_time = "2025-11-18T13:33:12.569Z" }, - { url = "https://files.pythonhosted.org/packages/74/40/35773cc4bb1e9d4658d4fb669eb4195b3151bef3bbd6f866aba5cd5dac82/coverage-7.12.0-cp313-cp313t-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:09a86acaaa8455f13d6a99221d9654df249b33937b4e212b4e5a822065f12aa7", size = 260078, upload_time = "2025-11-18T13:33:14.037Z" }, - { url = "https://files.pythonhosted.org/packages/ec/ee/231bb1a6ffc2905e396557585ebc6bdc559e7c66708376d245a1f1d330fc/coverage-7.12.0-cp313-cp313t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:907e0df1b71ba77463687a74149c6122c3f6aac56c2510a5d906b2f368208560", size = 262144, upload_time = "2025-11-18T13:33:15.601Z" }, - { url = "https://files.pythonhosted.org/packages/28/be/32f4aa9f3bf0b56f3971001b56508352c7753915345d45fab4296a986f01/coverage-7.12.0-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9b57e2d0ddd5f0582bae5437c04ee71c46cd908e7bc5d4d0391f9a41e812dd12", size = 264574, upload_time = "2025-11-18T13:33:17.354Z" }, - { url = "https://files.pythonhosted.org/packages/68/7c/00489fcbc2245d13ab12189b977e0cf06ff3351cb98bc6beba8bd68c5902/coverage-7.12.0-cp313-cp313t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:58c1c6aa677f3a1411fe6fb28ec3a942e4f665df036a3608816e0847fad23296", size = 259298, upload_time = "2025-11-18T13:33:18.958Z" }, - { url = "https://files.pythonhosted.org/packages/96/b4/f0760d65d56c3bea95b449e02570d4abd2549dc784bf39a2d4721a2d8ceb/coverage-7.12.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4c589361263ab2953e3c4cd2a94db94c4ad4a8e572776ecfbad2389c626e4507", size = 262150, upload_time = "2025-11-18T13:33:20.644Z" }, - { url = "https://files.pythonhosted.org/packages/c5/71/9a9314df00f9326d78c1e5a910f520d599205907432d90d1c1b7a97aa4b1/coverage-7.12.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:91b810a163ccad2e43b1faa11d70d3cf4b6f3d83f9fd5f2df82a32d47b648e0d", size = 259763, upload_time = "2025-11-18T13:33:22.189Z" }, - { url = "https://files.pythonhosted.org/packages/10/34/01a0aceed13fbdf925876b9a15d50862eb8845454301fe3cdd1df08b2182/coverage-7.12.0-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:40c867af715f22592e0d0fb533a33a71ec9e0f73a6945f722a0c85c8c1cbe3a2", size = 258653, upload_time = "2025-11-18T13:33:24.239Z" }, - { url = "https://files.pythonhosted.org/packages/8d/04/81d8fd64928acf1574bbb0181f66901c6c1c6279c8ccf5f84259d2c68ae9/coverage-7.12.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:68b0d0a2d84f333de875666259dadf28cc67858bc8fd8b3f1eae84d3c2bec455", size = 260856, upload_time = "2025-11-18T13:33:26.365Z" }, - { url = "https://files.pythonhosted.org/packages/f2/76/fa2a37bfaeaf1f766a2d2360a25a5297d4fb567098112f6517475eee120b/coverage-7.12.0-cp313-cp313t-win32.whl", hash = "sha256:73f9e7fbd51a221818fd11b7090eaa835a353ddd59c236c57b2199486b116c6d", size = 220936, upload_time = "2025-11-18T13:33:28.165Z" }, - { url = "https://files.pythonhosted.org/packages/f9/52/60f64d932d555102611c366afb0eb434b34266b1d9266fc2fe18ab641c47/coverage-7.12.0-cp313-cp313t-win_amd64.whl", hash = "sha256:24cff9d1f5743f67db7ba46ff284018a6e9aeb649b67aa1e70c396aa1b7cb23c", size = 222001, upload_time = "2025-11-18T13:33:29.656Z" }, - { url = "https://files.pythonhosted.org/packages/77/df/c303164154a5a3aea7472bf323b7c857fed93b26618ed9fc5c2955566bb0/coverage-7.12.0-cp313-cp313t-win_arm64.whl", hash = "sha256:c87395744f5c77c866d0f5a43d97cc39e17c7f1cb0115e54a2fe67ca75c5d14d", size = 220273, upload_time = "2025-11-18T13:33:31.415Z" }, - { url = "https://files.pythonhosted.org/packages/bf/2e/fc12db0883478d6e12bbd62d481210f0c8daf036102aa11434a0c5755825/coverage-7.12.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:a1c59b7dc169809a88b21a936eccf71c3895a78f5592051b1af8f4d59c2b4f92", size = 217777, upload_time = "2025-11-18T13:33:32.86Z" }, - { url = "https://files.pythonhosted.org/packages/1f/c1/ce3e525d223350c6ec16b9be8a057623f54226ef7f4c2fee361ebb6a02b8/coverage-7.12.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:8787b0f982e020adb732b9f051f3e49dd5054cebbc3f3432061278512a2b1360", size = 218100, upload_time = "2025-11-18T13:33:34.532Z" }, - { url = "https://files.pythonhosted.org/packages/15/87/113757441504aee3808cb422990ed7c8bcc2d53a6779c66c5adef0942939/coverage-7.12.0-cp314-cp314-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:5ea5a9f7dc8877455b13dd1effd3202e0bca72f6f3ab09f9036b1bcf728f69ac", size = 249151, upload_time = "2025-11-18T13:33:36.135Z" }, - { url = "https://files.pythonhosted.org/packages/d9/1d/9529d9bd44049b6b05bb319c03a3a7e4b0a8a802d28fa348ad407e10706d/coverage-7.12.0-cp314-cp314-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:fdba9f15849534594f60b47c9a30bc70409b54947319a7c4fd0e8e3d8d2f355d", size = 251667, upload_time = "2025-11-18T13:33:37.996Z" }, - { url = "https://files.pythonhosted.org/packages/11/bb/567e751c41e9c03dc29d3ce74b8c89a1e3396313e34f255a2a2e8b9ebb56/coverage-7.12.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a00594770eb715854fb1c57e0dea08cce6720cfbc531accdb9850d7c7770396c", size = 253003, upload_time = "2025-11-18T13:33:39.553Z" }, - { url = "https://files.pythonhosted.org/packages/e4/b3/c2cce2d8526a02fb9e9ca14a263ca6fc074449b33a6afa4892838c903528/coverage-7.12.0-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:5560c7e0d82b42eb1951e4f68f071f8017c824ebfd5a6ebe42c60ac16c6c2434", size = 249185, upload_time = "2025-11-18T13:33:42.086Z" }, - { url = "https://files.pythonhosted.org/packages/0e/a7/967f93bb66e82c9113c66a8d0b65ecf72fc865adfba5a145f50c7af7e58d/coverage-7.12.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d6c2e26b481c9159c2773a37947a9718cfdc58893029cdfb177531793e375cfc", size = 251025, upload_time = "2025-11-18T13:33:43.634Z" }, - { url = "https://files.pythonhosted.org/packages/b9/b2/f2f6f56337bc1af465d5b2dc1ee7ee2141b8b9272f3bf6213fcbc309a836/coverage-7.12.0-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:6e1a8c066dabcde56d5d9fed6a66bc19a2883a3fe051f0c397a41fc42aedd4cc", size = 248979, upload_time = "2025-11-18T13:33:46.04Z" }, - { url = "https://files.pythonhosted.org/packages/f4/7a/bf4209f45a4aec09d10a01a57313a46c0e0e8f4c55ff2965467d41a92036/coverage-7.12.0-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:f7ba9da4726e446d8dd8aae5a6cd872511184a5d861de80a86ef970b5dacce3e", size = 248800, upload_time = "2025-11-18T13:33:47.546Z" }, - { url = "https://files.pythonhosted.org/packages/b8/b7/1e01b8696fb0521810f60c5bbebf699100d6754183e6cc0679bf2ed76531/coverage-7.12.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:e0f483ab4f749039894abaf80c2f9e7ed77bbf3c737517fb88c8e8e305896a17", size = 250460, upload_time = "2025-11-18T13:33:49.537Z" }, - { url = "https://files.pythonhosted.org/packages/71/ae/84324fb9cb46c024760e706353d9b771a81b398d117d8c1fe010391c186f/coverage-7.12.0-cp314-cp314-win32.whl", hash = "sha256:76336c19a9ef4a94b2f8dc79f8ac2da3f193f625bb5d6f51a328cd19bfc19933", size = 220533, upload_time = "2025-11-18T13:33:51.16Z" }, - { url = "https://files.pythonhosted.org/packages/e2/71/1033629deb8460a8f97f83e6ac4ca3b93952e2b6f826056684df8275e015/coverage-7.12.0-cp314-cp314-win_amd64.whl", hash = "sha256:7c1059b600aec6ef090721f8f633f60ed70afaffe8ecab85b59df748f24b31fe", size = 221348, upload_time = "2025-11-18T13:33:52.776Z" }, - { url = "https://files.pythonhosted.org/packages/0a/5f/ac8107a902f623b0c251abdb749be282dc2ab61854a8a4fcf49e276fce2f/coverage-7.12.0-cp314-cp314-win_arm64.whl", hash = "sha256:172cf3a34bfef42611963e2b661302a8931f44df31629e5b1050567d6b90287d", size = 219922, upload_time = "2025-11-18T13:33:54.316Z" }, - { url = "https://files.pythonhosted.org/packages/79/6e/f27af2d4da367f16077d21ef6fe796c874408219fa6dd3f3efe7751bd910/coverage-7.12.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:aa7d48520a32cb21c7a9b31f81799e8eaec7239db36c3b670be0fa2403828d1d", size = 218511, upload_time = "2025-11-18T13:33:56.343Z" }, - { url = "https://files.pythonhosted.org/packages/67/dd/65fd874aa460c30da78f9d259400d8e6a4ef457d61ab052fd248f0050558/coverage-7.12.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:90d58ac63bc85e0fb919f14d09d6caa63f35a5512a2205284b7816cafd21bb03", size = 218771, upload_time = "2025-11-18T13:33:57.966Z" }, - { url = "https://files.pythonhosted.org/packages/55/e0/7c6b71d327d8068cb79c05f8f45bf1b6145f7a0de23bbebe63578fe5240a/coverage-7.12.0-cp314-cp314t-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:ca8ecfa283764fdda3eae1bdb6afe58bf78c2c3ec2b2edcb05a671f0bba7b3f9", size = 260151, upload_time = "2025-11-18T13:33:59.597Z" }, - { url = "https://files.pythonhosted.org/packages/49/ce/4697457d58285b7200de6b46d606ea71066c6e674571a946a6ea908fb588/coverage-7.12.0-cp314-cp314t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:874fe69a0785d96bd066059cd4368022cebbec1a8958f224f0016979183916e6", size = 262257, upload_time = "2025-11-18T13:34:01.166Z" }, - { url = "https://files.pythonhosted.org/packages/2f/33/acbc6e447aee4ceba88c15528dbe04a35fb4d67b59d393d2e0d6f1e242c1/coverage-7.12.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5b3c889c0b8b283a24d721a9eabc8ccafcfc3aebf167e4cd0d0e23bf8ec4e339", size = 264671, upload_time = "2025-11-18T13:34:02.795Z" }, - { url = "https://files.pythonhosted.org/packages/87/ec/e2822a795c1ed44d569980097be839c5e734d4c0c1119ef8e0a073496a30/coverage-7.12.0-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:8bb5b894b3ec09dcd6d3743229dc7f2c42ef7787dc40596ae04c0edda487371e", size = 259231, upload_time = "2025-11-18T13:34:04.397Z" }, - { url = "https://files.pythonhosted.org/packages/72/c5/a7ec5395bb4a49c9b7ad97e63f0c92f6bf4a9e006b1393555a02dae75f16/coverage-7.12.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:79a44421cd5fba96aa57b5e3b5a4d3274c449d4c622e8f76882d76635501fd13", size = 262137, upload_time = "2025-11-18T13:34:06.068Z" }, - { url = "https://files.pythonhosted.org/packages/67/0c/02c08858b764129f4ecb8e316684272972e60777ae986f3865b10940bdd6/coverage-7.12.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:33baadc0efd5c7294f436a632566ccc1f72c867f82833eb59820ee37dc811c6f", size = 259745, upload_time = "2025-11-18T13:34:08.04Z" }, - { url = "https://files.pythonhosted.org/packages/5a/04/4fd32b7084505f3829a8fe45c1a74a7a728cb251aaadbe3bec04abcef06d/coverage-7.12.0-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:c406a71f544800ef7e9e0000af706b88465f3573ae8b8de37e5f96c59f689ad1", size = 258570, upload_time = "2025-11-18T13:34:09.676Z" }, - { url = "https://files.pythonhosted.org/packages/48/35/2365e37c90df4f5342c4fa202223744119fe31264ee2924f09f074ea9b6d/coverage-7.12.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:e71bba6a40883b00c6d571599b4627f50c360b3d0d02bfc658168936be74027b", size = 260899, upload_time = "2025-11-18T13:34:11.259Z" }, - { url = "https://files.pythonhosted.org/packages/05/56/26ab0464ca733fa325e8e71455c58c1c374ce30f7c04cebb88eabb037b18/coverage-7.12.0-cp314-cp314t-win32.whl", hash = "sha256:9157a5e233c40ce6613dead4c131a006adfda70e557b6856b97aceed01b0e27a", size = 221313, upload_time = "2025-11-18T13:34:12.863Z" }, - { url = "https://files.pythonhosted.org/packages/da/1c/017a3e1113ed34d998b27d2c6dba08a9e7cb97d362f0ec988fcd873dcf81/coverage-7.12.0-cp314-cp314t-win_amd64.whl", hash = "sha256:e84da3a0fd233aeec797b981c51af1cabac74f9bd67be42458365b30d11b5291", size = 222423, upload_time = "2025-11-18T13:34:15.14Z" }, - { url = "https://files.pythonhosted.org/packages/4c/36/bcc504fdd5169301b52568802bb1b9cdde2e27a01d39fbb3b4b508ab7c2c/coverage-7.12.0-cp314-cp314t-win_arm64.whl", hash = "sha256:01d24af36fedda51c2b1aca56e4330a3710f83b02a5ff3743a6b015ffa7c9384", size = 220459, upload_time = "2025-11-18T13:34:17.222Z" }, - { url = "https://files.pythonhosted.org/packages/ce/a3/43b749004e3c09452e39bb56347a008f0a0668aad37324a99b5c8ca91d9e/coverage-7.12.0-py3-none-any.whl", hash = "sha256:159d50c0b12e060b15ed3d39f87ed43d4f7f7ad40b8a534f4dd331adbb51104a", size = 209503, upload_time = "2025-11-18T13:34:18.892Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/89/26/4a96807b193b011588099c3b5c89fbb05294e5b90e71018e065465f34eb6/coverage-7.12.0.tar.gz", hash = "sha256:fc11e0a4e372cb5f282f16ef90d4a585034050ccda536451901abfb19a57f40c", size = 819341, upload-time = "2025-11-18T13:34:20.766Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/02/bf/638c0427c0f0d47638242e2438127f3c8ee3cfc06c7fdeb16778ed47f836/coverage-7.12.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:29644c928772c78512b48e14156b81255000dcfd4817574ff69def189bcb3647", size = 217704, upload-time = "2025-11-18T13:32:28.906Z" }, + { url = "https://files.pythonhosted.org/packages/08/e1/706fae6692a66c2d6b871a608bbde0da6281903fa0e9f53a39ed441da36a/coverage-7.12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8638cbb002eaa5d7c8d04da667813ce1067080b9a91099801a0053086e52b736", size = 218064, upload-time = "2025-11-18T13:32:30.161Z" }, + { url = "https://files.pythonhosted.org/packages/a9/8b/eb0231d0540f8af3ffda39720ff43cb91926489d01524e68f60e961366e4/coverage-7.12.0-cp312-cp312-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:083631eeff5eb9992c923e14b810a179798bb598e6a0dd60586819fc23be6e60", size = 249560, upload-time = "2025-11-18T13:32:31.835Z" }, + { url = "https://files.pythonhosted.org/packages/e9/a1/67fb52af642e974d159b5b379e4d4c59d0ebe1288677fbd04bbffe665a82/coverage-7.12.0-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:99d5415c73ca12d558e07776bd957c4222c687b9f1d26fa0e1b57e3598bdcde8", size = 252318, upload-time = "2025-11-18T13:32:33.178Z" }, + { url = "https://files.pythonhosted.org/packages/41/e5/38228f31b2c7665ebf9bdfdddd7a184d56450755c7e43ac721c11a4b8dab/coverage-7.12.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e949ebf60c717c3df63adb4a1a366c096c8d7fd8472608cd09359e1bd48ef59f", size = 253403, upload-time = "2025-11-18T13:32:34.45Z" }, + { url = "https://files.pythonhosted.org/packages/ec/4b/df78e4c8188f9960684267c5a4897836f3f0f20a20c51606ee778a1d9749/coverage-7.12.0-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:6d907ddccbca819afa2cd014bc69983b146cca2735a0b1e6259b2a6c10be1e70", size = 249984, upload-time = "2025-11-18T13:32:35.747Z" }, + { url = "https://files.pythonhosted.org/packages/ba/51/bb163933d195a345c6f63eab9e55743413d064c291b6220df754075c2769/coverage-7.12.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:b1518ecbad4e6173f4c6e6c4a46e49555ea5679bf3feda5edb1b935c7c44e8a0", size = 251339, upload-time = "2025-11-18T13:32:37.352Z" }, + { url = "https://files.pythonhosted.org/packages/15/40/c9b29cdb8412c837cdcbc2cfa054547dd83affe6cbbd4ce4fdb92b6ba7d1/coverage-7.12.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:51777647a749abdf6f6fd8c7cffab12de68ab93aab15efc72fbbb83036c2a068", size = 249489, upload-time = "2025-11-18T13:32:39.212Z" }, + { url = "https://files.pythonhosted.org/packages/c8/da/b3131e20ba07a0de4437a50ef3b47840dfabf9293675b0cd5c2c7f66dd61/coverage-7.12.0-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:42435d46d6461a3b305cdfcad7cdd3248787771f53fe18305548cba474e6523b", size = 249070, upload-time = "2025-11-18T13:32:40.598Z" }, + { url = "https://files.pythonhosted.org/packages/70/81/b653329b5f6302c08d683ceff6785bc60a34be9ae92a5c7b63ee7ee7acec/coverage-7.12.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5bcead88c8423e1855e64b8057d0544e33e4080b95b240c2a355334bb7ced937", size = 250929, upload-time = "2025-11-18T13:32:42.915Z" }, + { url = "https://files.pythonhosted.org/packages/a3/00/250ac3bca9f252a5fb1338b5ad01331ebb7b40223f72bef5b1b2cb03aa64/coverage-7.12.0-cp312-cp312-win32.whl", hash = "sha256:dcbb630ab034e86d2a0f79aefd2be07e583202f41e037602d438c80044957baa", size = 220241, upload-time = "2025-11-18T13:32:44.665Z" }, + { url = "https://files.pythonhosted.org/packages/64/1c/77e79e76d37ce83302f6c21980b45e09f8aa4551965213a10e62d71ce0ab/coverage-7.12.0-cp312-cp312-win_amd64.whl", hash = "sha256:2fd8354ed5d69775ac42986a691fbf68b4084278710cee9d7c3eaa0c28fa982a", size = 221051, upload-time = "2025-11-18T13:32:46.008Z" }, + { url = "https://files.pythonhosted.org/packages/31/f5/641b8a25baae564f9e52cac0e2667b123de961985709a004e287ee7663cc/coverage-7.12.0-cp312-cp312-win_arm64.whl", hash = "sha256:737c3814903be30695b2de20d22bcc5428fdae305c61ba44cdc8b3252984c49c", size = 219692, upload-time = "2025-11-18T13:32:47.372Z" }, + { url = "https://files.pythonhosted.org/packages/b8/14/771700b4048774e48d2c54ed0c674273702713c9ee7acdfede40c2666747/coverage-7.12.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:47324fffca8d8eae7e185b5bb20c14645f23350f870c1649003618ea91a78941", size = 217725, upload-time = "2025-11-18T13:32:49.22Z" }, + { url = "https://files.pythonhosted.org/packages/17/a7/3aa4144d3bcb719bf67b22d2d51c2d577bf801498c13cb08f64173e80497/coverage-7.12.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:ccf3b2ede91decd2fb53ec73c1f949c3e034129d1e0b07798ff1d02ea0c8fa4a", size = 218098, upload-time = "2025-11-18T13:32:50.78Z" }, + { url = "https://files.pythonhosted.org/packages/fc/9c/b846bbc774ff81091a12a10203e70562c91ae71badda00c5ae5b613527b1/coverage-7.12.0-cp313-cp313-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:b365adc70a6936c6b0582dc38746b33b2454148c02349345412c6e743efb646d", size = 249093, upload-time = "2025-11-18T13:32:52.554Z" }, + { url = "https://files.pythonhosted.org/packages/76/b6/67d7c0e1f400b32c883e9342de4a8c2ae7c1a0b57c5de87622b7262e2309/coverage-7.12.0-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:bc13baf85cd8a4cfcf4a35c7bc9d795837ad809775f782f697bf630b7e200211", size = 251686, upload-time = "2025-11-18T13:32:54.862Z" }, + { url = "https://files.pythonhosted.org/packages/cc/75/b095bd4b39d49c3be4bffbb3135fea18a99a431c52dd7513637c0762fecb/coverage-7.12.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:099d11698385d572ceafb3288a5b80fe1fc58bf665b3f9d362389de488361d3d", size = 252930, upload-time = "2025-11-18T13:32:56.417Z" }, + { url = "https://files.pythonhosted.org/packages/6e/f3/466f63015c7c80550bead3093aacabf5380c1220a2a93c35d374cae8f762/coverage-7.12.0-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:473dc45d69694069adb7680c405fb1e81f60b2aff42c81e2f2c3feaf544d878c", size = 249296, upload-time = "2025-11-18T13:32:58.074Z" }, + { url = "https://files.pythonhosted.org/packages/27/86/eba2209bf2b7e28c68698fc13437519a295b2d228ba9e0ec91673e09fa92/coverage-7.12.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:583f9adbefd278e9de33c33d6846aa8f5d164fa49b47144180a0e037f0688bb9", size = 251068, upload-time = "2025-11-18T13:32:59.646Z" }, + { url = "https://files.pythonhosted.org/packages/ec/55/ca8ae7dbba962a3351f18940b359b94c6bafdd7757945fdc79ec9e452dc7/coverage-7.12.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:b2089cc445f2dc0af6f801f0d1355c025b76c24481935303cf1af28f636688f0", size = 249034, upload-time = "2025-11-18T13:33:01.481Z" }, + { url = "https://files.pythonhosted.org/packages/7a/d7/39136149325cad92d420b023b5fd900dabdd1c3a0d1d5f148ef4a8cedef5/coverage-7.12.0-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:950411f1eb5d579999c5f66c62a40961f126fc71e5e14419f004471957b51508", size = 248853, upload-time = "2025-11-18T13:33:02.935Z" }, + { url = "https://files.pythonhosted.org/packages/fe/b6/76e1add8b87ef60e00643b0b7f8f7bb73d4bf5249a3be19ebefc5793dd25/coverage-7.12.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b1aab7302a87bafebfe76b12af681b56ff446dc6f32ed178ff9c092ca776e6bc", size = 250619, upload-time = "2025-11-18T13:33:04.336Z" }, + { url = "https://files.pythonhosted.org/packages/95/87/924c6dc64f9203f7a3c1832a6a0eee5a8335dbe5f1bdadcc278d6f1b4d74/coverage-7.12.0-cp313-cp313-win32.whl", hash = "sha256:d7e0d0303c13b54db495eb636bc2465b2fb8475d4c8bcec8fe4b5ca454dfbae8", size = 220261, upload-time = "2025-11-18T13:33:06.493Z" }, + { url = "https://files.pythonhosted.org/packages/91/77/dd4aff9af16ff776bf355a24d87eeb48fc6acde54c907cc1ea89b14a8804/coverage-7.12.0-cp313-cp313-win_amd64.whl", hash = "sha256:ce61969812d6a98a981d147d9ac583a36ac7db7766f2e64a9d4d059c2fe29d07", size = 221072, upload-time = "2025-11-18T13:33:07.926Z" }, + { url = "https://files.pythonhosted.org/packages/70/49/5c9dc46205fef31b1b226a6e16513193715290584317fd4df91cdaf28b22/coverage-7.12.0-cp313-cp313-win_arm64.whl", hash = "sha256:bcec6f47e4cb8a4c2dc91ce507f6eefc6a1b10f58df32cdc61dff65455031dfc", size = 219702, upload-time = "2025-11-18T13:33:09.631Z" }, + { url = "https://files.pythonhosted.org/packages/9b/62/f87922641c7198667994dd472a91e1d9b829c95d6c29529ceb52132436ad/coverage-7.12.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:459443346509476170d553035e4a3eed7b860f4fe5242f02de1010501956ce87", size = 218420, upload-time = "2025-11-18T13:33:11.153Z" }, + { url = "https://files.pythonhosted.org/packages/85/dd/1cc13b2395ef15dbb27d7370a2509b4aee77890a464fb35d72d428f84871/coverage-7.12.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:04a79245ab2b7a61688958f7a855275997134bc84f4a03bc240cf64ff132abf6", size = 218773, upload-time = "2025-11-18T13:33:12.569Z" }, + { url = "https://files.pythonhosted.org/packages/74/40/35773cc4bb1e9d4658d4fb669eb4195b3151bef3bbd6f866aba5cd5dac82/coverage-7.12.0-cp313-cp313t-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:09a86acaaa8455f13d6a99221d9654df249b33937b4e212b4e5a822065f12aa7", size = 260078, upload-time = "2025-11-18T13:33:14.037Z" }, + { url = "https://files.pythonhosted.org/packages/ec/ee/231bb1a6ffc2905e396557585ebc6bdc559e7c66708376d245a1f1d330fc/coverage-7.12.0-cp313-cp313t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:907e0df1b71ba77463687a74149c6122c3f6aac56c2510a5d906b2f368208560", size = 262144, upload-time = "2025-11-18T13:33:15.601Z" }, + { url = "https://files.pythonhosted.org/packages/28/be/32f4aa9f3bf0b56f3971001b56508352c7753915345d45fab4296a986f01/coverage-7.12.0-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9b57e2d0ddd5f0582bae5437c04ee71c46cd908e7bc5d4d0391f9a41e812dd12", size = 264574, upload-time = "2025-11-18T13:33:17.354Z" }, + { url = "https://files.pythonhosted.org/packages/68/7c/00489fcbc2245d13ab12189b977e0cf06ff3351cb98bc6beba8bd68c5902/coverage-7.12.0-cp313-cp313t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:58c1c6aa677f3a1411fe6fb28ec3a942e4f665df036a3608816e0847fad23296", size = 259298, upload-time = "2025-11-18T13:33:18.958Z" }, + { url = "https://files.pythonhosted.org/packages/96/b4/f0760d65d56c3bea95b449e02570d4abd2549dc784bf39a2d4721a2d8ceb/coverage-7.12.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4c589361263ab2953e3c4cd2a94db94c4ad4a8e572776ecfbad2389c626e4507", size = 262150, upload-time = "2025-11-18T13:33:20.644Z" }, + { url = "https://files.pythonhosted.org/packages/c5/71/9a9314df00f9326d78c1e5a910f520d599205907432d90d1c1b7a97aa4b1/coverage-7.12.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:91b810a163ccad2e43b1faa11d70d3cf4b6f3d83f9fd5f2df82a32d47b648e0d", size = 259763, upload-time = "2025-11-18T13:33:22.189Z" }, + { url = "https://files.pythonhosted.org/packages/10/34/01a0aceed13fbdf925876b9a15d50862eb8845454301fe3cdd1df08b2182/coverage-7.12.0-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:40c867af715f22592e0d0fb533a33a71ec9e0f73a6945f722a0c85c8c1cbe3a2", size = 258653, upload-time = "2025-11-18T13:33:24.239Z" }, + { url = "https://files.pythonhosted.org/packages/8d/04/81d8fd64928acf1574bbb0181f66901c6c1c6279c8ccf5f84259d2c68ae9/coverage-7.12.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:68b0d0a2d84f333de875666259dadf28cc67858bc8fd8b3f1eae84d3c2bec455", size = 260856, upload-time = "2025-11-18T13:33:26.365Z" }, + { url = "https://files.pythonhosted.org/packages/f2/76/fa2a37bfaeaf1f766a2d2360a25a5297d4fb567098112f6517475eee120b/coverage-7.12.0-cp313-cp313t-win32.whl", hash = "sha256:73f9e7fbd51a221818fd11b7090eaa835a353ddd59c236c57b2199486b116c6d", size = 220936, upload-time = "2025-11-18T13:33:28.165Z" }, + { url = "https://files.pythonhosted.org/packages/f9/52/60f64d932d555102611c366afb0eb434b34266b1d9266fc2fe18ab641c47/coverage-7.12.0-cp313-cp313t-win_amd64.whl", hash = "sha256:24cff9d1f5743f67db7ba46ff284018a6e9aeb649b67aa1e70c396aa1b7cb23c", size = 222001, upload-time = "2025-11-18T13:33:29.656Z" }, + { url = "https://files.pythonhosted.org/packages/77/df/c303164154a5a3aea7472bf323b7c857fed93b26618ed9fc5c2955566bb0/coverage-7.12.0-cp313-cp313t-win_arm64.whl", hash = "sha256:c87395744f5c77c866d0f5a43d97cc39e17c7f1cb0115e54a2fe67ca75c5d14d", size = 220273, upload-time = "2025-11-18T13:33:31.415Z" }, + { url = "https://files.pythonhosted.org/packages/bf/2e/fc12db0883478d6e12bbd62d481210f0c8daf036102aa11434a0c5755825/coverage-7.12.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:a1c59b7dc169809a88b21a936eccf71c3895a78f5592051b1af8f4d59c2b4f92", size = 217777, upload-time = "2025-11-18T13:33:32.86Z" }, + { url = "https://files.pythonhosted.org/packages/1f/c1/ce3e525d223350c6ec16b9be8a057623f54226ef7f4c2fee361ebb6a02b8/coverage-7.12.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:8787b0f982e020adb732b9f051f3e49dd5054cebbc3f3432061278512a2b1360", size = 218100, upload-time = "2025-11-18T13:33:34.532Z" }, + { url = "https://files.pythonhosted.org/packages/15/87/113757441504aee3808cb422990ed7c8bcc2d53a6779c66c5adef0942939/coverage-7.12.0-cp314-cp314-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:5ea5a9f7dc8877455b13dd1effd3202e0bca72f6f3ab09f9036b1bcf728f69ac", size = 249151, upload-time = "2025-11-18T13:33:36.135Z" }, + { url = "https://files.pythonhosted.org/packages/d9/1d/9529d9bd44049b6b05bb319c03a3a7e4b0a8a802d28fa348ad407e10706d/coverage-7.12.0-cp314-cp314-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:fdba9f15849534594f60b47c9a30bc70409b54947319a7c4fd0e8e3d8d2f355d", size = 251667, upload-time = "2025-11-18T13:33:37.996Z" }, + { url = "https://files.pythonhosted.org/packages/11/bb/567e751c41e9c03dc29d3ce74b8c89a1e3396313e34f255a2a2e8b9ebb56/coverage-7.12.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a00594770eb715854fb1c57e0dea08cce6720cfbc531accdb9850d7c7770396c", size = 253003, upload-time = "2025-11-18T13:33:39.553Z" }, + { url = "https://files.pythonhosted.org/packages/e4/b3/c2cce2d8526a02fb9e9ca14a263ca6fc074449b33a6afa4892838c903528/coverage-7.12.0-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:5560c7e0d82b42eb1951e4f68f071f8017c824ebfd5a6ebe42c60ac16c6c2434", size = 249185, upload-time = "2025-11-18T13:33:42.086Z" }, + { url = "https://files.pythonhosted.org/packages/0e/a7/967f93bb66e82c9113c66a8d0b65ecf72fc865adfba5a145f50c7af7e58d/coverage-7.12.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d6c2e26b481c9159c2773a37947a9718cfdc58893029cdfb177531793e375cfc", size = 251025, upload-time = "2025-11-18T13:33:43.634Z" }, + { url = "https://files.pythonhosted.org/packages/b9/b2/f2f6f56337bc1af465d5b2dc1ee7ee2141b8b9272f3bf6213fcbc309a836/coverage-7.12.0-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:6e1a8c066dabcde56d5d9fed6a66bc19a2883a3fe051f0c397a41fc42aedd4cc", size = 248979, upload-time = "2025-11-18T13:33:46.04Z" }, + { url = "https://files.pythonhosted.org/packages/f4/7a/bf4209f45a4aec09d10a01a57313a46c0e0e8f4c55ff2965467d41a92036/coverage-7.12.0-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:f7ba9da4726e446d8dd8aae5a6cd872511184a5d861de80a86ef970b5dacce3e", size = 248800, upload-time = "2025-11-18T13:33:47.546Z" }, + { url = "https://files.pythonhosted.org/packages/b8/b7/1e01b8696fb0521810f60c5bbebf699100d6754183e6cc0679bf2ed76531/coverage-7.12.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:e0f483ab4f749039894abaf80c2f9e7ed77bbf3c737517fb88c8e8e305896a17", size = 250460, upload-time = "2025-11-18T13:33:49.537Z" }, + { url = "https://files.pythonhosted.org/packages/71/ae/84324fb9cb46c024760e706353d9b771a81b398d117d8c1fe010391c186f/coverage-7.12.0-cp314-cp314-win32.whl", hash = "sha256:76336c19a9ef4a94b2f8dc79f8ac2da3f193f625bb5d6f51a328cd19bfc19933", size = 220533, upload-time = "2025-11-18T13:33:51.16Z" }, + { url = "https://files.pythonhosted.org/packages/e2/71/1033629deb8460a8f97f83e6ac4ca3b93952e2b6f826056684df8275e015/coverage-7.12.0-cp314-cp314-win_amd64.whl", hash = "sha256:7c1059b600aec6ef090721f8f633f60ed70afaffe8ecab85b59df748f24b31fe", size = 221348, upload-time = "2025-11-18T13:33:52.776Z" }, + { url = "https://files.pythonhosted.org/packages/0a/5f/ac8107a902f623b0c251abdb749be282dc2ab61854a8a4fcf49e276fce2f/coverage-7.12.0-cp314-cp314-win_arm64.whl", hash = "sha256:172cf3a34bfef42611963e2b661302a8931f44df31629e5b1050567d6b90287d", size = 219922, upload-time = "2025-11-18T13:33:54.316Z" }, + { url = "https://files.pythonhosted.org/packages/79/6e/f27af2d4da367f16077d21ef6fe796c874408219fa6dd3f3efe7751bd910/coverage-7.12.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:aa7d48520a32cb21c7a9b31f81799e8eaec7239db36c3b670be0fa2403828d1d", size = 218511, upload-time = "2025-11-18T13:33:56.343Z" }, + { url = "https://files.pythonhosted.org/packages/67/dd/65fd874aa460c30da78f9d259400d8e6a4ef457d61ab052fd248f0050558/coverage-7.12.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:90d58ac63bc85e0fb919f14d09d6caa63f35a5512a2205284b7816cafd21bb03", size = 218771, upload-time = "2025-11-18T13:33:57.966Z" }, + { url = "https://files.pythonhosted.org/packages/55/e0/7c6b71d327d8068cb79c05f8f45bf1b6145f7a0de23bbebe63578fe5240a/coverage-7.12.0-cp314-cp314t-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:ca8ecfa283764fdda3eae1bdb6afe58bf78c2c3ec2b2edcb05a671f0bba7b3f9", size = 260151, upload-time = "2025-11-18T13:33:59.597Z" }, + { url = "https://files.pythonhosted.org/packages/49/ce/4697457d58285b7200de6b46d606ea71066c6e674571a946a6ea908fb588/coverage-7.12.0-cp314-cp314t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:874fe69a0785d96bd066059cd4368022cebbec1a8958f224f0016979183916e6", size = 262257, upload-time = "2025-11-18T13:34:01.166Z" }, + { url = "https://files.pythonhosted.org/packages/2f/33/acbc6e447aee4ceba88c15528dbe04a35fb4d67b59d393d2e0d6f1e242c1/coverage-7.12.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5b3c889c0b8b283a24d721a9eabc8ccafcfc3aebf167e4cd0d0e23bf8ec4e339", size = 264671, upload-time = "2025-11-18T13:34:02.795Z" }, + { url = "https://files.pythonhosted.org/packages/87/ec/e2822a795c1ed44d569980097be839c5e734d4c0c1119ef8e0a073496a30/coverage-7.12.0-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:8bb5b894b3ec09dcd6d3743229dc7f2c42ef7787dc40596ae04c0edda487371e", size = 259231, upload-time = "2025-11-18T13:34:04.397Z" }, + { url = "https://files.pythonhosted.org/packages/72/c5/a7ec5395bb4a49c9b7ad97e63f0c92f6bf4a9e006b1393555a02dae75f16/coverage-7.12.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:79a44421cd5fba96aa57b5e3b5a4d3274c449d4c622e8f76882d76635501fd13", size = 262137, upload-time = "2025-11-18T13:34:06.068Z" }, + { url = "https://files.pythonhosted.org/packages/67/0c/02c08858b764129f4ecb8e316684272972e60777ae986f3865b10940bdd6/coverage-7.12.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:33baadc0efd5c7294f436a632566ccc1f72c867f82833eb59820ee37dc811c6f", size = 259745, upload-time = "2025-11-18T13:34:08.04Z" }, + { url = "https://files.pythonhosted.org/packages/5a/04/4fd32b7084505f3829a8fe45c1a74a7a728cb251aaadbe3bec04abcef06d/coverage-7.12.0-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:c406a71f544800ef7e9e0000af706b88465f3573ae8b8de37e5f96c59f689ad1", size = 258570, upload-time = "2025-11-18T13:34:09.676Z" }, + { url = "https://files.pythonhosted.org/packages/48/35/2365e37c90df4f5342c4fa202223744119fe31264ee2924f09f074ea9b6d/coverage-7.12.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:e71bba6a40883b00c6d571599b4627f50c360b3d0d02bfc658168936be74027b", size = 260899, upload-time = "2025-11-18T13:34:11.259Z" }, + { url = "https://files.pythonhosted.org/packages/05/56/26ab0464ca733fa325e8e71455c58c1c374ce30f7c04cebb88eabb037b18/coverage-7.12.0-cp314-cp314t-win32.whl", hash = "sha256:9157a5e233c40ce6613dead4c131a006adfda70e557b6856b97aceed01b0e27a", size = 221313, upload-time = "2025-11-18T13:34:12.863Z" }, + { url = "https://files.pythonhosted.org/packages/da/1c/017a3e1113ed34d998b27d2c6dba08a9e7cb97d362f0ec988fcd873dcf81/coverage-7.12.0-cp314-cp314t-win_amd64.whl", hash = "sha256:e84da3a0fd233aeec797b981c51af1cabac74f9bd67be42458365b30d11b5291", size = 222423, upload-time = "2025-11-18T13:34:15.14Z" }, + { url = "https://files.pythonhosted.org/packages/4c/36/bcc504fdd5169301b52568802bb1b9cdde2e27a01d39fbb3b4b508ab7c2c/coverage-7.12.0-cp314-cp314t-win_arm64.whl", hash = "sha256:01d24af36fedda51c2b1aca56e4330a3710f83b02a5ff3743a6b015ffa7c9384", size = 220459, upload-time = "2025-11-18T13:34:17.222Z" }, + { url = "https://files.pythonhosted.org/packages/ce/a3/43b749004e3c09452e39bb56347a008f0a0668aad37324a99b5c8ca91d9e/coverage-7.12.0-py3-none-any.whl", hash = "sha256:159d50c0b12e060b15ed3d39f87ed43d4f7f7ad40b8a534f4dd331adbb51104a", size = 209503, upload-time = "2025-11-18T13:34:18.892Z" }, ] [[package]] @@ -501,93 +510,102 @@ dependencies = [ { name = "coverage" }, { name = "setuptools" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/be/8f/e92b0a010c76b0da82709838b3f3ae9aec638d0c44dbfb1186a5751f5d2e/coverage_badge-1.1.2.tar.gz", hash = "sha256:fe7ed58a3b72dad85a553b64a99e963dea3847dcd0b8ddd2b38a00333618642c", size = 6335, upload_time = "2024-08-02T23:34:08.58Z" } +sdist = { url = "https://files.pythonhosted.org/packages/be/8f/e92b0a010c76b0da82709838b3f3ae9aec638d0c44dbfb1186a5751f5d2e/coverage_badge-1.1.2.tar.gz", hash = "sha256:fe7ed58a3b72dad85a553b64a99e963dea3847dcd0b8ddd2b38a00333618642c", size = 6335, upload-time = "2024-08-02T23:34:08.58Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/90/3d/5642a1a06191b2e1e0f87a2e824e6d3eb7c32c589a68ed4d1dcbd3324d63/coverage_badge-1.1.2-py2.py3-none-any.whl", hash = "sha256:d8413ce51c91043a1692b943616b450868cbeeb0ea6a0c54a32f8318c9c96ff7", size = 6493, upload_time = "2024-08-02T23:34:07.063Z" }, + { url = "https://files.pythonhosted.org/packages/90/3d/5642a1a06191b2e1e0f87a2e824e6d3eb7c32c589a68ed4d1dcbd3324d63/coverage_badge-1.1.2-py2.py3-none-any.whl", hash = "sha256:d8413ce51c91043a1692b943616b450868cbeeb0ea6a0c54a32f8318c9c96ff7", size = 6493, upload-time = "2024-08-02T23:34:07.063Z" }, ] [[package]] name = "cycler" version = "0.12.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a9/95/a3dbbb5028f35eafb79008e7522a75244477d2838f38cbb722248dabc2a8/cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c", size = 7615, upload_time = "2023-10-07T05:32:18.335Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a9/95/a3dbbb5028f35eafb79008e7522a75244477d2838f38cbb722248dabc2a8/cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c", size = 7615, upload-time = "2023-10-07T05:32:18.335Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321, upload_time = "2023-10-07T05:32:16.783Z" }, + { url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321, upload-time = "2023-10-07T05:32:16.783Z" }, ] [[package]] name = "debugpy" version = "1.8.17" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/15/ad/71e708ff4ca377c4230530d6a7aa7992592648c122a2cd2b321cf8b35a76/debugpy-1.8.17.tar.gz", hash = "sha256:fd723b47a8c08892b1a16b2c6239a8b96637c62a59b94bb5dab4bac592a58a8e", size = 1644129, upload_time = "2025-09-17T16:33:20.633Z" } +sdist = { url = "https://files.pythonhosted.org/packages/15/ad/71e708ff4ca377c4230530d6a7aa7992592648c122a2cd2b321cf8b35a76/debugpy-1.8.17.tar.gz", hash = "sha256:fd723b47a8c08892b1a16b2c6239a8b96637c62a59b94bb5dab4bac592a58a8e", size = 1644129, upload-time = "2025-09-17T16:33:20.633Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/08/2b/9d8e65beb2751876c82e1aceb32f328c43ec872711fa80257c7674f45650/debugpy-1.8.17-cp312-cp312-macosx_15_0_universal2.whl", hash = "sha256:f14467edef672195c6f6b8e27ce5005313cb5d03c9239059bc7182b60c176e2d", size = 2549522, upload_time = "2025-09-17T16:33:38.466Z" }, - { url = "https://files.pythonhosted.org/packages/b4/78/eb0d77f02971c05fca0eb7465b18058ba84bd957062f5eec82f941ac792a/debugpy-1.8.17-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:24693179ef9dfa20dca8605905a42b392be56d410c333af82f1c5dff807a64cc", size = 4309417, upload_time = "2025-09-17T16:33:41.299Z" }, - { url = "https://files.pythonhosted.org/packages/37/42/c40f1d8cc1fed1e75ea54298a382395b8b937d923fcf41ab0797a554f555/debugpy-1.8.17-cp312-cp312-win32.whl", hash = "sha256:6a4e9dacf2cbb60d2514ff7b04b4534b0139facbf2abdffe0639ddb6088e59cf", size = 5277130, upload_time = "2025-09-17T16:33:43.554Z" }, - { url = "https://files.pythonhosted.org/packages/72/22/84263b205baad32b81b36eac076de0cdbe09fe2d0637f5b32243dc7c925b/debugpy-1.8.17-cp312-cp312-win_amd64.whl", hash = "sha256:e8f8f61c518952fb15f74a302e068b48d9c4691768ade433e4adeea961993464", size = 5319053, upload_time = "2025-09-17T16:33:53.033Z" }, - { url = "https://files.pythonhosted.org/packages/50/76/597e5cb97d026274ba297af8d89138dfd9e695767ba0e0895edb20963f40/debugpy-1.8.17-cp313-cp313-macosx_15_0_universal2.whl", hash = "sha256:857c1dd5d70042502aef1c6d1c2801211f3ea7e56f75e9c335f434afb403e464", size = 2538386, upload_time = "2025-09-17T16:33:54.594Z" }, - { url = "https://files.pythonhosted.org/packages/5f/60/ce5c34fcdfec493701f9d1532dba95b21b2f6394147234dce21160bd923f/debugpy-1.8.17-cp313-cp313-manylinux_2_34_x86_64.whl", hash = "sha256:3bea3b0b12f3946e098cce9b43c3c46e317b567f79570c3f43f0b96d00788088", size = 4292100, upload_time = "2025-09-17T16:33:56.353Z" }, - { url = "https://files.pythonhosted.org/packages/e8/95/7873cf2146577ef71d2a20bf553f12df865922a6f87b9e8ee1df04f01785/debugpy-1.8.17-cp313-cp313-win32.whl", hash = "sha256:e34ee844c2f17b18556b5bbe59e1e2ff4e86a00282d2a46edab73fd7f18f4a83", size = 5277002, upload_time = "2025-09-17T16:33:58.231Z" }, - { url = "https://files.pythonhosted.org/packages/46/11/18c79a1cee5ff539a94ec4aa290c1c069a5580fd5cfd2fb2e282f8e905da/debugpy-1.8.17-cp313-cp313-win_amd64.whl", hash = "sha256:6c5cd6f009ad4fca8e33e5238210dc1e5f42db07d4b6ab21ac7ffa904a196420", size = 5319047, upload_time = "2025-09-17T16:34:00.586Z" }, - { url = "https://files.pythonhosted.org/packages/de/45/115d55b2a9da6de812696064ceb505c31e952c5d89c4ed1d9bb983deec34/debugpy-1.8.17-cp314-cp314-macosx_15_0_universal2.whl", hash = "sha256:045290c010bcd2d82bc97aa2daf6837443cd52f6328592698809b4549babcee1", size = 2536899, upload_time = "2025-09-17T16:34:02.657Z" }, - { url = "https://files.pythonhosted.org/packages/5a/73/2aa00c7f1f06e997ef57dc9b23d61a92120bec1437a012afb6d176585197/debugpy-1.8.17-cp314-cp314-manylinux_2_34_x86_64.whl", hash = "sha256:b69b6bd9dba6a03632534cdf67c760625760a215ae289f7489a452af1031fe1f", size = 4268254, upload_time = "2025-09-17T16:34:04.486Z" }, - { url = "https://files.pythonhosted.org/packages/86/b5/ed3e65c63c68a6634e3ba04bd10255c8e46ec16ebed7d1c79e4816d8a760/debugpy-1.8.17-cp314-cp314-win32.whl", hash = "sha256:5c59b74aa5630f3a5194467100c3b3d1c77898f9ab27e3f7dc5d40fc2f122670", size = 5277203, upload_time = "2025-09-17T16:34:06.65Z" }, - { url = "https://files.pythonhosted.org/packages/b0/26/394276b71c7538445f29e792f589ab7379ae70fd26ff5577dfde71158e96/debugpy-1.8.17-cp314-cp314-win_amd64.whl", hash = "sha256:893cba7bb0f55161de4365584b025f7064e1f88913551bcd23be3260b231429c", size = 5318493, upload_time = "2025-09-17T16:34:08.483Z" }, - { url = "https://files.pythonhosted.org/packages/b0/d0/89247ec250369fc76db477720a26b2fce7ba079ff1380e4ab4529d2fe233/debugpy-1.8.17-py2.py3-none-any.whl", hash = "sha256:60c7dca6571efe660ccb7a9508d73ca14b8796c4ed484c2002abba714226cfef", size = 5283210, upload_time = "2025-09-17T16:34:25.835Z" }, + { url = "https://files.pythonhosted.org/packages/08/2b/9d8e65beb2751876c82e1aceb32f328c43ec872711fa80257c7674f45650/debugpy-1.8.17-cp312-cp312-macosx_15_0_universal2.whl", hash = "sha256:f14467edef672195c6f6b8e27ce5005313cb5d03c9239059bc7182b60c176e2d", size = 2549522, upload-time = "2025-09-17T16:33:38.466Z" }, + { url = "https://files.pythonhosted.org/packages/b4/78/eb0d77f02971c05fca0eb7465b18058ba84bd957062f5eec82f941ac792a/debugpy-1.8.17-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:24693179ef9dfa20dca8605905a42b392be56d410c333af82f1c5dff807a64cc", size = 4309417, upload-time = "2025-09-17T16:33:41.299Z" }, + { url = "https://files.pythonhosted.org/packages/37/42/c40f1d8cc1fed1e75ea54298a382395b8b937d923fcf41ab0797a554f555/debugpy-1.8.17-cp312-cp312-win32.whl", hash = "sha256:6a4e9dacf2cbb60d2514ff7b04b4534b0139facbf2abdffe0639ddb6088e59cf", size = 5277130, upload-time = "2025-09-17T16:33:43.554Z" }, + { url = "https://files.pythonhosted.org/packages/72/22/84263b205baad32b81b36eac076de0cdbe09fe2d0637f5b32243dc7c925b/debugpy-1.8.17-cp312-cp312-win_amd64.whl", hash = "sha256:e8f8f61c518952fb15f74a302e068b48d9c4691768ade433e4adeea961993464", size = 5319053, upload-time = "2025-09-17T16:33:53.033Z" }, + { url = "https://files.pythonhosted.org/packages/50/76/597e5cb97d026274ba297af8d89138dfd9e695767ba0e0895edb20963f40/debugpy-1.8.17-cp313-cp313-macosx_15_0_universal2.whl", hash = "sha256:857c1dd5d70042502aef1c6d1c2801211f3ea7e56f75e9c335f434afb403e464", size = 2538386, upload-time = "2025-09-17T16:33:54.594Z" }, + { url = "https://files.pythonhosted.org/packages/5f/60/ce5c34fcdfec493701f9d1532dba95b21b2f6394147234dce21160bd923f/debugpy-1.8.17-cp313-cp313-manylinux_2_34_x86_64.whl", hash = "sha256:3bea3b0b12f3946e098cce9b43c3c46e317b567f79570c3f43f0b96d00788088", size = 4292100, upload-time = "2025-09-17T16:33:56.353Z" }, + { url = "https://files.pythonhosted.org/packages/e8/95/7873cf2146577ef71d2a20bf553f12df865922a6f87b9e8ee1df04f01785/debugpy-1.8.17-cp313-cp313-win32.whl", hash = "sha256:e34ee844c2f17b18556b5bbe59e1e2ff4e86a00282d2a46edab73fd7f18f4a83", size = 5277002, upload-time = "2025-09-17T16:33:58.231Z" }, + { url = "https://files.pythonhosted.org/packages/46/11/18c79a1cee5ff539a94ec4aa290c1c069a5580fd5cfd2fb2e282f8e905da/debugpy-1.8.17-cp313-cp313-win_amd64.whl", hash = "sha256:6c5cd6f009ad4fca8e33e5238210dc1e5f42db07d4b6ab21ac7ffa904a196420", size = 5319047, upload-time = "2025-09-17T16:34:00.586Z" }, + { url = "https://files.pythonhosted.org/packages/de/45/115d55b2a9da6de812696064ceb505c31e952c5d89c4ed1d9bb983deec34/debugpy-1.8.17-cp314-cp314-macosx_15_0_universal2.whl", hash = "sha256:045290c010bcd2d82bc97aa2daf6837443cd52f6328592698809b4549babcee1", size = 2536899, upload-time = "2025-09-17T16:34:02.657Z" }, + { url = "https://files.pythonhosted.org/packages/5a/73/2aa00c7f1f06e997ef57dc9b23d61a92120bec1437a012afb6d176585197/debugpy-1.8.17-cp314-cp314-manylinux_2_34_x86_64.whl", hash = "sha256:b69b6bd9dba6a03632534cdf67c760625760a215ae289f7489a452af1031fe1f", size = 4268254, upload-time = "2025-09-17T16:34:04.486Z" }, + { url = "https://files.pythonhosted.org/packages/86/b5/ed3e65c63c68a6634e3ba04bd10255c8e46ec16ebed7d1c79e4816d8a760/debugpy-1.8.17-cp314-cp314-win32.whl", hash = "sha256:5c59b74aa5630f3a5194467100c3b3d1c77898f9ab27e3f7dc5d40fc2f122670", size = 5277203, upload-time = "2025-09-17T16:34:06.65Z" }, + { url = "https://files.pythonhosted.org/packages/b0/26/394276b71c7538445f29e792f589ab7379ae70fd26ff5577dfde71158e96/debugpy-1.8.17-cp314-cp314-win_amd64.whl", hash = "sha256:893cba7bb0f55161de4365584b025f7064e1f88913551bcd23be3260b231429c", size = 5318493, upload-time = "2025-09-17T16:34:08.483Z" }, + { url = "https://files.pythonhosted.org/packages/b0/d0/89247ec250369fc76db477720a26b2fce7ba079ff1380e4ab4529d2fe233/debugpy-1.8.17-py2.py3-none-any.whl", hash = "sha256:60c7dca6571efe660ccb7a9508d73ca14b8796c4ed484c2002abba714226cfef", size = 5283210, upload-time = "2025-09-17T16:34:25.835Z" }, ] [[package]] name = "decorator" version = "5.2.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/43/fa/6d96a0978d19e17b68d634497769987b16c8f4cd0a7a05048bec693caa6b/decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360", size = 56711, upload_time = "2025-02-24T04:41:34.073Z" } +sdist = { url = "https://files.pythonhosted.org/packages/43/fa/6d96a0978d19e17b68d634497769987b16c8f4cd0a7a05048bec693caa6b/decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360", size = 56711, upload-time = "2025-02-24T04:41:34.073Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/4e/8c/f3147f5c4b73e7550fe5f9352eaa956ae838d5c51eb58e7a25b9f3e2643b/decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a", size = 9190, upload_time = "2025-02-24T04:41:32.565Z" }, + { url = "https://files.pythonhosted.org/packages/4e/8c/f3147f5c4b73e7550fe5f9352eaa956ae838d5c51eb58e7a25b9f3e2643b/decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a", size = 9190, upload-time = "2025-02-24T04:41:32.565Z" }, ] [[package]] name = "defusedxml" version = "0.7.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/0f/d5/c66da9b79e5bdb124974bfe172b4daf3c984ebd9c2a06e2b8a4dc7331c72/defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69", size = 75520, upload_time = "2021-03-08T10:59:26.269Z" } +sdist = { url = "https://files.pythonhosted.org/packages/0f/d5/c66da9b79e5bdb124974bfe172b4daf3c984ebd9c2a06e2b8a4dc7331c72/defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69", size = 75520, upload-time = "2021-03-08T10:59:26.269Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/07/6c/aa3f2f849e01cb6a001cd8554a88d4c77c5c1a31c95bdf1cf9301e6d9ef4/defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61", size = 25604, upload-time = "2021-03-08T10:59:24.45Z" }, +] + +[[package]] +name = "dill" +version = "0.4.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/81/e1/56027a71e31b02ddc53c7d65b01e68edf64dea2932122fe7746a516f75d5/dill-0.4.1.tar.gz", hash = "sha256:423092df4182177d4d8ba8290c8a5b640c66ab35ec7da59ccfa00f6fa3eea5fa", size = 187315, upload-time = "2026-01-19T02:36:56.85Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/07/6c/aa3f2f849e01cb6a001cd8554a88d4c77c5c1a31c95bdf1cf9301e6d9ef4/defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61", size = 25604, upload_time = "2021-03-08T10:59:24.45Z" }, + { url = "https://files.pythonhosted.org/packages/1e/77/dc8c558f7593132cf8fefec57c4f60c83b16941c574ac5f619abb3ae7933/dill-0.4.1-py3-none-any.whl", hash = "sha256:1e1ce33e978ae97fcfcff5638477032b801c46c7c65cf717f95fbc2248f79a9d", size = 120019, upload-time = "2026-01-19T02:36:55.663Z" }, ] [[package]] name = "docutils" version = "0.21.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ae/ed/aefcc8cd0ba62a0560c3c18c33925362d46c6075480bfa4df87b28e169a9/docutils-0.21.2.tar.gz", hash = "sha256:3a6b18732edf182daa3cd12775bbb338cf5691468f91eeeb109deff6ebfa986f", size = 2204444, upload_time = "2024-04-23T18:57:18.24Z" } +sdist = { url = "https://files.pythonhosted.org/packages/ae/ed/aefcc8cd0ba62a0560c3c18c33925362d46c6075480bfa4df87b28e169a9/docutils-0.21.2.tar.gz", hash = "sha256:3a6b18732edf182daa3cd12775bbb338cf5691468f91eeeb109deff6ebfa986f", size = 2204444, upload-time = "2024-04-23T18:57:18.24Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/8f/d7/9322c609343d929e75e7e5e6255e614fcc67572cfd083959cdef3b7aad79/docutils-0.21.2-py3-none-any.whl", hash = "sha256:dafca5b9e384f0e419294eb4d2ff9fa826435bf15f15b7bd45723e8ad76811b2", size = 587408, upload_time = "2024-04-23T18:57:14.835Z" }, + { url = "https://files.pythonhosted.org/packages/8f/d7/9322c609343d929e75e7e5e6255e614fcc67572cfd083959cdef3b7aad79/docutils-0.21.2-py3-none-any.whl", hash = "sha256:dafca5b9e384f0e419294eb4d2ff9fa826435bf15f15b7bd45723e8ad76811b2", size = 587408, upload-time = "2024-04-23T18:57:14.835Z" }, ] [[package]] name = "et-xmlfile" version = "2.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/d3/38/af70d7ab1ae9d4da450eeec1fa3918940a5fafb9055e934af8d6eb0c2313/et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54", size = 17234, upload_time = "2024-10-25T17:25:40.039Z" } +sdist = { url = "https://files.pythonhosted.org/packages/d3/38/af70d7ab1ae9d4da450eeec1fa3918940a5fafb9055e934af8d6eb0c2313/et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54", size = 17234, upload-time = "2024-10-25T17:25:40.039Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c1/8b/5fe2cc11fee489817272089c4203e679c63b570a5aaeb18d852ae3cbba6a/et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa", size = 18059, upload_time = "2024-10-25T17:25:39.051Z" }, + { url = "https://files.pythonhosted.org/packages/c1/8b/5fe2cc11fee489817272089c4203e679c63b570a5aaeb18d852ae3cbba6a/et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa", size = 18059, upload-time = "2024-10-25T17:25:39.051Z" }, ] [[package]] name = "executing" version = "2.2.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/cc/28/c14e053b6762b1044f34a13aab6859bbf40456d37d23aa286ac24cfd9a5d/executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4", size = 1129488, upload_time = "2025-09-01T09:48:10.866Z" } +sdist = { url = "https://files.pythonhosted.org/packages/cc/28/c14e053b6762b1044f34a13aab6859bbf40456d37d23aa286ac24cfd9a5d/executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4", size = 1129488, upload-time = "2025-09-01T09:48:10.866Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c1/ea/53f2148663b321f21b5a606bd5f191517cf40b7072c0497d3c92c4a13b1e/executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017", size = 28317, upload_time = "2025-09-01T09:48:08.5Z" }, + { url = "https://files.pythonhosted.org/packages/c1/ea/53f2148663b321f21b5a606bd5f191517cf40b7072c0497d3c92c4a13b1e/executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017", size = 28317, upload-time = "2025-09-01T09:48:08.5Z" }, ] [[package]] name = "fastjsonschema" version = "2.21.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/20/b5/23b216d9d985a956623b6bd12d4086b60f0059b27799f23016af04a74ea1/fastjsonschema-2.21.2.tar.gz", hash = "sha256:b1eb43748041c880796cd077f1a07c3d94e93ae84bba5ed36800a33554ae05de", size = 374130, upload_time = "2025-08-14T18:49:36.666Z" } +sdist = { url = "https://files.pythonhosted.org/packages/20/b5/23b216d9d985a956623b6bd12d4086b60f0059b27799f23016af04a74ea1/fastjsonschema-2.21.2.tar.gz", hash = "sha256:b1eb43748041c880796cd077f1a07c3d94e93ae84bba5ed36800a33554ae05de", size = 374130, upload-time = "2025-08-14T18:49:36.666Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/cb/a8/20d0723294217e47de6d9e2e40fd4a9d2f7c4b6ef974babd482a59743694/fastjsonschema-2.21.2-py3-none-any.whl", hash = "sha256:1c797122d0a86c5cace2e54bf4e819c36223b552017172f32c5c024a6b77e463", size = 24024, upload_time = "2025-08-14T18:49:34.776Z" }, + { url = "https://files.pythonhosted.org/packages/cb/a8/20d0723294217e47de6d9e2e40fd4a9d2f7c4b6ef974babd482a59743694/fastjsonschema-2.21.2-py3-none-any.whl", hash = "sha256:1c797122d0a86c5cace2e54bf4e819c36223b552017172f32c5c024a6b77e463", size = 24024, upload-time = "2025-08-14T18:49:34.776Z" }, ] [[package]] @@ -599,68 +617,68 @@ dependencies = [ { name = "pycodestyle" }, { name = "pyflakes" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/9b/af/fbfe3c4b5a657d79e5c47a2827a362f9e1b763336a52f926126aa6dc7123/flake8-7.3.0.tar.gz", hash = "sha256:fe044858146b9fc69b551a4b490d69cf960fcb78ad1edcb84e7fbb1b4a8e3872", size = 48326, upload_time = "2025-06-20T19:31:35.838Z" } +sdist = { url = "https://files.pythonhosted.org/packages/9b/af/fbfe3c4b5a657d79e5c47a2827a362f9e1b763336a52f926126aa6dc7123/flake8-7.3.0.tar.gz", hash = "sha256:fe044858146b9fc69b551a4b490d69cf960fcb78ad1edcb84e7fbb1b4a8e3872", size = 48326, upload-time = "2025-06-20T19:31:35.838Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/9f/56/13ab06b4f93ca7cac71078fbe37fcea175d3216f31f85c3168a6bbd0bb9a/flake8-7.3.0-py2.py3-none-any.whl", hash = "sha256:b9696257b9ce8beb888cdbe31cf885c90d31928fe202be0889a7cdafad32f01e", size = 57922, upload_time = "2025-06-20T19:31:34.425Z" }, + { url = "https://files.pythonhosted.org/packages/9f/56/13ab06b4f93ca7cac71078fbe37fcea175d3216f31f85c3168a6bbd0bb9a/flake8-7.3.0-py2.py3-none-any.whl", hash = "sha256:b9696257b9ce8beb888cdbe31cf885c90d31928fe202be0889a7cdafad32f01e", size = 57922, upload-time = "2025-06-20T19:31:34.425Z" }, ] [[package]] name = "fonttools" version = "4.61.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/33/f9/0e84d593c0e12244150280a630999835a64f2852276161b62a0f98318de0/fonttools-4.61.0.tar.gz", hash = "sha256:ec520a1f0c7758d7a858a00f090c1745f6cde6a7c5e76fb70ea4044a15f712e7", size = 3561884, upload_time = "2025-11-28T17:05:49.491Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/00/5d/19e5939f773c7cb05480fe2e881d63870b63ee2b4bdb9a77d55b1d36c7b9/fonttools-4.61.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:e24a1565c4e57111ec7f4915f8981ecbb61adf66a55f378fdc00e206059fcfef", size = 2846930, upload_time = "2025-11-28T17:04:46.639Z" }, - { url = "https://files.pythonhosted.org/packages/25/b2/0658faf66f705293bd7e739a4f038302d188d424926be9c59bdad945664b/fonttools-4.61.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:e2bfacb5351303cae9f072ccf3fc6ecb437a6f359c0606bae4b1ab6715201d87", size = 2383016, upload_time = "2025-11-28T17:04:48.525Z" }, - { url = "https://files.pythonhosted.org/packages/29/a3/1fa90b95b690f0d7541f48850adc40e9019374d896c1b8148d15012b2458/fonttools-4.61.0-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:0bdcf2e29d65c26299cc3d502f4612365e8b90a939f46cd92d037b6cb7bb544a", size = 4949425, upload_time = "2025-11-28T17:04:50.482Z" }, - { url = "https://files.pythonhosted.org/packages/af/00/acf18c00f6c501bd6e05ee930f926186f8a8e268265407065688820f1c94/fonttools-4.61.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e6cd0d9051b8ddaf7385f99dd82ec2a058e2b46cf1f1961e68e1ff20fcbb61af", size = 4999632, upload_time = "2025-11-28T17:04:52.508Z" }, - { url = "https://files.pythonhosted.org/packages/5f/e0/19a2b86e54109b1d2ee8743c96a1d297238ae03243897bc5345c0365f34d/fonttools-4.61.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:e074bc07c31406f45c418e17c1722e83560f181d122c412fa9e815df0ff74810", size = 4939438, upload_time = "2025-11-28T17:04:54.437Z" }, - { url = "https://files.pythonhosted.org/packages/04/35/7b57a5f57d46286360355eff8d6b88c64ab6331107f37a273a71c803798d/fonttools-4.61.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5a9b78da5d5faa17e63b2404b77feeae105c1b7e75f26020ab7a27b76e02039f", size = 5088960, upload_time = "2025-11-28T17:04:56.348Z" }, - { url = "https://files.pythonhosted.org/packages/3e/0e/6c5023eb2e0fe5d1ababc7e221e44acd3ff668781489cc1937a6f83d620a/fonttools-4.61.0-cp312-cp312-win32.whl", hash = "sha256:9821ed77bb676736b88fa87a737c97b6af06e8109667e625a4f00158540ce044", size = 2264404, upload_time = "2025-11-28T17:04:58.149Z" }, - { url = "https://files.pythonhosted.org/packages/36/0b/63273128c7c5df19b1e4cd92e0a1e6ea5bb74a400c4905054c96ad60a675/fonttools-4.61.0-cp312-cp312-win_amd64.whl", hash = "sha256:0011d640afa61053bc6590f9a3394bd222de7cfde19346588beabac374e9d8ac", size = 2314427, upload_time = "2025-11-28T17:04:59.812Z" }, - { url = "https://files.pythonhosted.org/packages/17/45/334f0d7f181e5473cfb757e1b60f4e60e7fc64f28d406e5d364a952718c0/fonttools-4.61.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ba774b8cbd8754f54b8eb58124e8bd45f736b2743325ab1a5229698942b9b433", size = 2841801, upload_time = "2025-11-28T17:05:01.621Z" }, - { url = "https://files.pythonhosted.org/packages/cc/63/97b9c78e1f79bc741d4efe6e51f13872d8edb2b36e1b9fb2bab0d4491bb7/fonttools-4.61.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c84b430616ed73ce46e9cafd0bf0800e366a3e02fb7e1ad7c1e214dbe3862b1f", size = 2379024, upload_time = "2025-11-28T17:05:03.668Z" }, - { url = "https://files.pythonhosted.org/packages/4e/80/c87bc524a90dbeb2a390eea23eae448286983da59b7e02c67fa0ca96a8c5/fonttools-4.61.0-cp313-cp313-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:b2b734d8391afe3c682320840c8191de9bd24e7eb85768dd4dc06ed1b63dbb1b", size = 4923706, upload_time = "2025-11-28T17:05:05.494Z" }, - { url = "https://files.pythonhosted.org/packages/6d/f6/a3b0374811a1de8c3f9207ec88f61ad1bb96f938ed89babae26c065c2e46/fonttools-4.61.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a5c5fff72bf31b0e558ed085e4fd7ed96eb85881404ecc39ed2a779e7cf724eb", size = 4979751, upload_time = "2025-11-28T17:05:07.665Z" }, - { url = "https://files.pythonhosted.org/packages/a5/3b/30f63b4308b449091573285f9d27619563a84f399946bca3eadc9554afbe/fonttools-4.61.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:14a290c5c93fcab76b7f451e6a4b7721b712d90b3b5ed6908f1abcf794e90d6d", size = 4921113, upload_time = "2025-11-28T17:05:09.551Z" }, - { url = "https://files.pythonhosted.org/packages/41/6c/58e6e9b7d9d8bf2d7010bd7bb493060b39b02a12d1cda64a8bfb116ce760/fonttools-4.61.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:13e3e20a5463bfeb77b3557d04b30bd6a96a6bb5c15c7b2e7908903e69d437a0", size = 5063183, upload_time = "2025-11-28T17:05:11.677Z" }, - { url = "https://files.pythonhosted.org/packages/3f/e3/52c790ab2b07492df059947a1fd7778e105aac5848c0473029a4d20481a2/fonttools-4.61.0-cp313-cp313-win32.whl", hash = "sha256:6781e7a4bb010be1cd69a29927b0305c86b843395f2613bdabe115f7d6ea7f34", size = 2263159, upload_time = "2025-11-28T17:05:13.292Z" }, - { url = "https://files.pythonhosted.org/packages/e9/1f/116013b200fbeba871046554d5d2a45fefa69a05c40e9cdfd0d4fff53edc/fonttools-4.61.0-cp313-cp313-win_amd64.whl", hash = "sha256:c53b47834ae41e8e4829171cc44fec0fdf125545a15f6da41776b926b9645a9a", size = 2313530, upload_time = "2025-11-28T17:05:14.848Z" }, - { url = "https://files.pythonhosted.org/packages/d3/99/59b1e25987787cb714aa9457cee4c9301b7c2153f0b673e2b8679d37669d/fonttools-4.61.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:96dfc9bc1f2302224e48e6ee37e656eddbab810b724b52e9d9c13a57a6abad01", size = 2841429, upload_time = "2025-11-28T17:05:16.671Z" }, - { url = "https://files.pythonhosted.org/packages/2b/b2/4c1911d4332c8a144bb3b44416e274ccca0e297157c971ea1b3fbb855590/fonttools-4.61.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:3b2065d94e5d63aafc2591c8b6ccbdb511001d9619f1bca8ad39b745ebeb5efa", size = 2378987, upload_time = "2025-11-28T17:05:18.69Z" }, - { url = "https://files.pythonhosted.org/packages/24/b0/f442e90fde5d2af2ae0cb54008ab6411edc557ee33b824e13e1d04925ac9/fonttools-4.61.0-cp314-cp314-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:e0d87e81e4d869549585ba0beb3f033718501c1095004f5e6aef598d13ebc216", size = 4873270, upload_time = "2025-11-28T17:05:20.625Z" }, - { url = "https://files.pythonhosted.org/packages/bb/04/f5d5990e33053c8a59b90b1d7e10ad9b97a73f42c745304da0e709635fab/fonttools-4.61.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1cfa2eb9bae650e58f0e8ad53c49d19a844d6034d6b259f30f197238abc1ccee", size = 4968270, upload_time = "2025-11-28T17:05:22.515Z" }, - { url = "https://files.pythonhosted.org/packages/94/9f/2091402e0d27c9c8c4bab5de0e5cd146d9609a2d7d1c666bbb75c0011c1a/fonttools-4.61.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:4238120002e68296d55e091411c09eab94e111c8ce64716d17df53fd0eb3bb3d", size = 4919799, upload_time = "2025-11-28T17:05:24.437Z" }, - { url = "https://files.pythonhosted.org/packages/a8/72/86adab22fde710b829f8ffbc8f264df01928e5b7a8f6177fa29979ebf256/fonttools-4.61.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b6ceac262cc62bec01b3bb59abccf41b24ef6580869e306a4e88b7e56bb4bdda", size = 5030966, upload_time = "2025-11-28T17:05:26.115Z" }, - { url = "https://files.pythonhosted.org/packages/e8/a7/7c8e31b003349e845b853f5e0a67b95ff6b052fa4f5224f8b72624f5ac69/fonttools-4.61.0-cp314-cp314-win32.whl", hash = "sha256:adbb4ecee1a779469a77377bbe490565effe8fce6fb2e6f95f064de58f8bac85", size = 2267243, upload_time = "2025-11-28T17:05:27.807Z" }, - { url = "https://files.pythonhosted.org/packages/20/ee/f434fe7749360497c52b7dcbcfdbccdaab0a71c59f19d572576066717122/fonttools-4.61.0-cp314-cp314-win_amd64.whl", hash = "sha256:02bdf8e04d1a70476564b8640380f04bb4ac74edc1fc71f1bacb840b3e398ee9", size = 2318822, upload_time = "2025-11-28T17:05:29.882Z" }, - { url = "https://files.pythonhosted.org/packages/33/b3/c16255320255e5c1863ca2b2599bb61a46e2f566db0bbb9948615a8fe692/fonttools-4.61.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:627216062d90ab0d98215176d8b9562c4dd5b61271d35f130bcd30f6a8aaa33a", size = 2924917, upload_time = "2025-11-28T17:05:31.46Z" }, - { url = "https://files.pythonhosted.org/packages/e2/b8/08067ae21de705a817777c02ef36ab0b953cbe91d8adf134f9c2da75ed6d/fonttools-4.61.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:7b446623c9cd5f14a59493818eaa80255eec2468c27d2c01b56e05357c263195", size = 2413576, upload_time = "2025-11-28T17:05:33.343Z" }, - { url = "https://files.pythonhosted.org/packages/42/f1/96ff43f92addce2356780fdc203f2966206f3d22ea20e242c27826fd7442/fonttools-4.61.0-cp314-cp314t-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:70e2a0c0182ee75e493ef33061bfebf140ea57e035481d2f95aa03b66c7a0e05", size = 4877447, upload_time = "2025-11-28T17:05:35.278Z" }, - { url = "https://files.pythonhosted.org/packages/d0/1e/a3d8e51ed9ccfd7385e239ae374b78d258a0fb82d82cab99160a014a45d1/fonttools-4.61.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9064b0f55b947e929ac669af5311ab1f26f750214db6dd9a0c97e091e918f486", size = 5095681, upload_time = "2025-11-28T17:05:37.142Z" }, - { url = "https://files.pythonhosted.org/packages/eb/f6/d256bd6c1065c146a0bdddf1c62f542e08ae5b3405dbf3fcc52be272f674/fonttools-4.61.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:2cb5e45a824ce14b90510024d0d39dae51bd4fbb54c42a9334ea8c8cf4d95cbe", size = 4974140, upload_time = "2025-11-28T17:05:39.5Z" }, - { url = "https://files.pythonhosted.org/packages/5d/0c/96633eb4b26f138cc48561c6e0c44b4ea48acea56b20b507d6b14f8e80ce/fonttools-4.61.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:6e5ca8c62efdec7972dfdfd454415c4db49b89aeaefaaacada432f3b7eea9866", size = 5001741, upload_time = "2025-11-28T17:05:41.424Z" }, - { url = "https://files.pythonhosted.org/packages/6f/9a/3b536bad3be4f26186f296e749ff17bad3e6d57232c104d752d24b2e265b/fonttools-4.61.0-cp314-cp314t-win32.whl", hash = "sha256:63c7125d31abe3e61d7bb917329b5543c5b3448db95f24081a13aaf064360fc8", size = 2330707, upload_time = "2025-11-28T17:05:43.548Z" }, - { url = "https://files.pythonhosted.org/packages/18/ea/e6b9ac610451ee9f04477c311ad126de971f6112cb579fa391d2a8edb00b/fonttools-4.61.0-cp314-cp314t-win_amd64.whl", hash = "sha256:67d841aa272be5500de7f447c40d1d8452783af33b4c3599899319f6ef9ad3c1", size = 2395950, upload_time = "2025-11-28T17:05:45.638Z" }, - { url = "https://files.pythonhosted.org/packages/0c/14/634f7daea5ffe6a5f7a0322ba8e1a0e23c9257b80aa91458107896d1dfc7/fonttools-4.61.0-py3-none-any.whl", hash = "sha256:276f14c560e6f98d24ef7f5f44438e55ff5a67f78fa85236b218462c9f5d0635", size = 1144485, upload_time = "2025-11-28T17:05:47.573Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/33/f9/0e84d593c0e12244150280a630999835a64f2852276161b62a0f98318de0/fonttools-4.61.0.tar.gz", hash = "sha256:ec520a1f0c7758d7a858a00f090c1745f6cde6a7c5e76fb70ea4044a15f712e7", size = 3561884, upload-time = "2025-11-28T17:05:49.491Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/00/5d/19e5939f773c7cb05480fe2e881d63870b63ee2b4bdb9a77d55b1d36c7b9/fonttools-4.61.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:e24a1565c4e57111ec7f4915f8981ecbb61adf66a55f378fdc00e206059fcfef", size = 2846930, upload-time = "2025-11-28T17:04:46.639Z" }, + { url = "https://files.pythonhosted.org/packages/25/b2/0658faf66f705293bd7e739a4f038302d188d424926be9c59bdad945664b/fonttools-4.61.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:e2bfacb5351303cae9f072ccf3fc6ecb437a6f359c0606bae4b1ab6715201d87", size = 2383016, upload-time = "2025-11-28T17:04:48.525Z" }, + { url = "https://files.pythonhosted.org/packages/29/a3/1fa90b95b690f0d7541f48850adc40e9019374d896c1b8148d15012b2458/fonttools-4.61.0-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:0bdcf2e29d65c26299cc3d502f4612365e8b90a939f46cd92d037b6cb7bb544a", size = 4949425, upload-time = "2025-11-28T17:04:50.482Z" }, + { url = "https://files.pythonhosted.org/packages/af/00/acf18c00f6c501bd6e05ee930f926186f8a8e268265407065688820f1c94/fonttools-4.61.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e6cd0d9051b8ddaf7385f99dd82ec2a058e2b46cf1f1961e68e1ff20fcbb61af", size = 4999632, upload-time = "2025-11-28T17:04:52.508Z" }, + { url = "https://files.pythonhosted.org/packages/5f/e0/19a2b86e54109b1d2ee8743c96a1d297238ae03243897bc5345c0365f34d/fonttools-4.61.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:e074bc07c31406f45c418e17c1722e83560f181d122c412fa9e815df0ff74810", size = 4939438, upload-time = "2025-11-28T17:04:54.437Z" }, + { url = "https://files.pythonhosted.org/packages/04/35/7b57a5f57d46286360355eff8d6b88c64ab6331107f37a273a71c803798d/fonttools-4.61.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5a9b78da5d5faa17e63b2404b77feeae105c1b7e75f26020ab7a27b76e02039f", size = 5088960, upload-time = "2025-11-28T17:04:56.348Z" }, + { url = "https://files.pythonhosted.org/packages/3e/0e/6c5023eb2e0fe5d1ababc7e221e44acd3ff668781489cc1937a6f83d620a/fonttools-4.61.0-cp312-cp312-win32.whl", hash = "sha256:9821ed77bb676736b88fa87a737c97b6af06e8109667e625a4f00158540ce044", size = 2264404, upload-time = "2025-11-28T17:04:58.149Z" }, + { url = "https://files.pythonhosted.org/packages/36/0b/63273128c7c5df19b1e4cd92e0a1e6ea5bb74a400c4905054c96ad60a675/fonttools-4.61.0-cp312-cp312-win_amd64.whl", hash = "sha256:0011d640afa61053bc6590f9a3394bd222de7cfde19346588beabac374e9d8ac", size = 2314427, upload-time = "2025-11-28T17:04:59.812Z" }, + { url = "https://files.pythonhosted.org/packages/17/45/334f0d7f181e5473cfb757e1b60f4e60e7fc64f28d406e5d364a952718c0/fonttools-4.61.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ba774b8cbd8754f54b8eb58124e8bd45f736b2743325ab1a5229698942b9b433", size = 2841801, upload-time = "2025-11-28T17:05:01.621Z" }, + { url = "https://files.pythonhosted.org/packages/cc/63/97b9c78e1f79bc741d4efe6e51f13872d8edb2b36e1b9fb2bab0d4491bb7/fonttools-4.61.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c84b430616ed73ce46e9cafd0bf0800e366a3e02fb7e1ad7c1e214dbe3862b1f", size = 2379024, upload-time = "2025-11-28T17:05:03.668Z" }, + { url = "https://files.pythonhosted.org/packages/4e/80/c87bc524a90dbeb2a390eea23eae448286983da59b7e02c67fa0ca96a8c5/fonttools-4.61.0-cp313-cp313-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:b2b734d8391afe3c682320840c8191de9bd24e7eb85768dd4dc06ed1b63dbb1b", size = 4923706, upload-time = "2025-11-28T17:05:05.494Z" }, + { url = "https://files.pythonhosted.org/packages/6d/f6/a3b0374811a1de8c3f9207ec88f61ad1bb96f938ed89babae26c065c2e46/fonttools-4.61.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a5c5fff72bf31b0e558ed085e4fd7ed96eb85881404ecc39ed2a779e7cf724eb", size = 4979751, upload-time = "2025-11-28T17:05:07.665Z" }, + { url = "https://files.pythonhosted.org/packages/a5/3b/30f63b4308b449091573285f9d27619563a84f399946bca3eadc9554afbe/fonttools-4.61.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:14a290c5c93fcab76b7f451e6a4b7721b712d90b3b5ed6908f1abcf794e90d6d", size = 4921113, upload-time = "2025-11-28T17:05:09.551Z" }, + { url = "https://files.pythonhosted.org/packages/41/6c/58e6e9b7d9d8bf2d7010bd7bb493060b39b02a12d1cda64a8bfb116ce760/fonttools-4.61.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:13e3e20a5463bfeb77b3557d04b30bd6a96a6bb5c15c7b2e7908903e69d437a0", size = 5063183, upload-time = "2025-11-28T17:05:11.677Z" }, + { url = "https://files.pythonhosted.org/packages/3f/e3/52c790ab2b07492df059947a1fd7778e105aac5848c0473029a4d20481a2/fonttools-4.61.0-cp313-cp313-win32.whl", hash = "sha256:6781e7a4bb010be1cd69a29927b0305c86b843395f2613bdabe115f7d6ea7f34", size = 2263159, upload-time = "2025-11-28T17:05:13.292Z" }, + { url = "https://files.pythonhosted.org/packages/e9/1f/116013b200fbeba871046554d5d2a45fefa69a05c40e9cdfd0d4fff53edc/fonttools-4.61.0-cp313-cp313-win_amd64.whl", hash = "sha256:c53b47834ae41e8e4829171cc44fec0fdf125545a15f6da41776b926b9645a9a", size = 2313530, upload-time = "2025-11-28T17:05:14.848Z" }, + { url = "https://files.pythonhosted.org/packages/d3/99/59b1e25987787cb714aa9457cee4c9301b7c2153f0b673e2b8679d37669d/fonttools-4.61.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:96dfc9bc1f2302224e48e6ee37e656eddbab810b724b52e9d9c13a57a6abad01", size = 2841429, upload-time = "2025-11-28T17:05:16.671Z" }, + { url = "https://files.pythonhosted.org/packages/2b/b2/4c1911d4332c8a144bb3b44416e274ccca0e297157c971ea1b3fbb855590/fonttools-4.61.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:3b2065d94e5d63aafc2591c8b6ccbdb511001d9619f1bca8ad39b745ebeb5efa", size = 2378987, upload-time = "2025-11-28T17:05:18.69Z" }, + { url = "https://files.pythonhosted.org/packages/24/b0/f442e90fde5d2af2ae0cb54008ab6411edc557ee33b824e13e1d04925ac9/fonttools-4.61.0-cp314-cp314-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:e0d87e81e4d869549585ba0beb3f033718501c1095004f5e6aef598d13ebc216", size = 4873270, upload-time = "2025-11-28T17:05:20.625Z" }, + { url = "https://files.pythonhosted.org/packages/bb/04/f5d5990e33053c8a59b90b1d7e10ad9b97a73f42c745304da0e709635fab/fonttools-4.61.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1cfa2eb9bae650e58f0e8ad53c49d19a844d6034d6b259f30f197238abc1ccee", size = 4968270, upload-time = "2025-11-28T17:05:22.515Z" }, + { url = "https://files.pythonhosted.org/packages/94/9f/2091402e0d27c9c8c4bab5de0e5cd146d9609a2d7d1c666bbb75c0011c1a/fonttools-4.61.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:4238120002e68296d55e091411c09eab94e111c8ce64716d17df53fd0eb3bb3d", size = 4919799, upload-time = "2025-11-28T17:05:24.437Z" }, + { url = "https://files.pythonhosted.org/packages/a8/72/86adab22fde710b829f8ffbc8f264df01928e5b7a8f6177fa29979ebf256/fonttools-4.61.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b6ceac262cc62bec01b3bb59abccf41b24ef6580869e306a4e88b7e56bb4bdda", size = 5030966, upload-time = "2025-11-28T17:05:26.115Z" }, + { url = "https://files.pythonhosted.org/packages/e8/a7/7c8e31b003349e845b853f5e0a67b95ff6b052fa4f5224f8b72624f5ac69/fonttools-4.61.0-cp314-cp314-win32.whl", hash = "sha256:adbb4ecee1a779469a77377bbe490565effe8fce6fb2e6f95f064de58f8bac85", size = 2267243, upload-time = "2025-11-28T17:05:27.807Z" }, + { url = "https://files.pythonhosted.org/packages/20/ee/f434fe7749360497c52b7dcbcfdbccdaab0a71c59f19d572576066717122/fonttools-4.61.0-cp314-cp314-win_amd64.whl", hash = "sha256:02bdf8e04d1a70476564b8640380f04bb4ac74edc1fc71f1bacb840b3e398ee9", size = 2318822, upload-time = "2025-11-28T17:05:29.882Z" }, + { url = "https://files.pythonhosted.org/packages/33/b3/c16255320255e5c1863ca2b2599bb61a46e2f566db0bbb9948615a8fe692/fonttools-4.61.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:627216062d90ab0d98215176d8b9562c4dd5b61271d35f130bcd30f6a8aaa33a", size = 2924917, upload-time = "2025-11-28T17:05:31.46Z" }, + { url = "https://files.pythonhosted.org/packages/e2/b8/08067ae21de705a817777c02ef36ab0b953cbe91d8adf134f9c2da75ed6d/fonttools-4.61.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:7b446623c9cd5f14a59493818eaa80255eec2468c27d2c01b56e05357c263195", size = 2413576, upload-time = "2025-11-28T17:05:33.343Z" }, + { url = "https://files.pythonhosted.org/packages/42/f1/96ff43f92addce2356780fdc203f2966206f3d22ea20e242c27826fd7442/fonttools-4.61.0-cp314-cp314t-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:70e2a0c0182ee75e493ef33061bfebf140ea57e035481d2f95aa03b66c7a0e05", size = 4877447, upload-time = "2025-11-28T17:05:35.278Z" }, + { url = "https://files.pythonhosted.org/packages/d0/1e/a3d8e51ed9ccfd7385e239ae374b78d258a0fb82d82cab99160a014a45d1/fonttools-4.61.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9064b0f55b947e929ac669af5311ab1f26f750214db6dd9a0c97e091e918f486", size = 5095681, upload-time = "2025-11-28T17:05:37.142Z" }, + { url = "https://files.pythonhosted.org/packages/eb/f6/d256bd6c1065c146a0bdddf1c62f542e08ae5b3405dbf3fcc52be272f674/fonttools-4.61.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:2cb5e45a824ce14b90510024d0d39dae51bd4fbb54c42a9334ea8c8cf4d95cbe", size = 4974140, upload-time = "2025-11-28T17:05:39.5Z" }, + { url = "https://files.pythonhosted.org/packages/5d/0c/96633eb4b26f138cc48561c6e0c44b4ea48acea56b20b507d6b14f8e80ce/fonttools-4.61.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:6e5ca8c62efdec7972dfdfd454415c4db49b89aeaefaaacada432f3b7eea9866", size = 5001741, upload-time = "2025-11-28T17:05:41.424Z" }, + { url = "https://files.pythonhosted.org/packages/6f/9a/3b536bad3be4f26186f296e749ff17bad3e6d57232c104d752d24b2e265b/fonttools-4.61.0-cp314-cp314t-win32.whl", hash = "sha256:63c7125d31abe3e61d7bb917329b5543c5b3448db95f24081a13aaf064360fc8", size = 2330707, upload-time = "2025-11-28T17:05:43.548Z" }, + { url = "https://files.pythonhosted.org/packages/18/ea/e6b9ac610451ee9f04477c311ad126de971f6112cb579fa391d2a8edb00b/fonttools-4.61.0-cp314-cp314t-win_amd64.whl", hash = "sha256:67d841aa272be5500de7f447c40d1d8452783af33b4c3599899319f6ef9ad3c1", size = 2395950, upload-time = "2025-11-28T17:05:45.638Z" }, + { url = "https://files.pythonhosted.org/packages/0c/14/634f7daea5ffe6a5f7a0322ba8e1a0e23c9257b80aa91458107896d1dfc7/fonttools-4.61.0-py3-none-any.whl", hash = "sha256:276f14c560e6f98d24ef7f5f44438e55ff5a67f78fa85236b218462c9f5d0635", size = 1144485, upload-time = "2025-11-28T17:05:47.573Z" }, ] [[package]] name = "fqdn" version = "1.5.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/30/3e/a80a8c077fd798951169626cde3e239adeba7dab75deb3555716415bd9b0/fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f", size = 6015, upload_time = "2021-03-11T07:16:29.08Z" } +sdist = { url = "https://files.pythonhosted.org/packages/30/3e/a80a8c077fd798951169626cde3e239adeba7dab75deb3555716415bd9b0/fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f", size = 6015, upload-time = "2021-03-11T07:16:29.08Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014", size = 9121, upload_time = "2021-03-11T07:16:28.351Z" }, + { url = "https://files.pythonhosted.org/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014", size = 9121, upload-time = "2021-03-11T07:16:28.351Z" }, ] [[package]] name = "h11" version = "0.16.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250, upload_time = "2025-04-24T03:35:25.427Z" } +sdist = { url = "https://files.pythonhosted.org/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250, upload-time = "2025-04-24T03:35:25.427Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload_time = "2025-04-24T03:35:24.344Z" }, + { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" }, ] [[package]] @@ -671,9 +689,9 @@ dependencies = [ { name = "certifi" }, { name = "h11" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484, upload_time = "2025-04-24T22:06:22.219Z" } +sdist = { url = "https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484, upload-time = "2025-04-24T22:06:22.219Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784, upload_time = "2025-04-24T22:06:20.566Z" }, + { url = "https://files.pythonhosted.org/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784, upload-time = "2025-04-24T22:06:20.566Z" }, ] [[package]] @@ -686,36 +704,36 @@ dependencies = [ { name = "httpcore" }, { name = "idna" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/b1/df/48c586a5fe32a0f01324ee087459e112ebb7224f646c0b5023f5e79e9956/httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc", size = 141406, upload_time = "2024-12-06T15:37:23.222Z" } +sdist = { url = "https://files.pythonhosted.org/packages/b1/df/48c586a5fe32a0f01324ee087459e112ebb7224f646c0b5023f5e79e9956/httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc", size = 141406, upload-time = "2024-12-06T15:37:23.222Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload_time = "2024-12-06T15:37:21.509Z" }, + { url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload-time = "2024-12-06T15:37:21.509Z" }, ] [[package]] name = "idna" version = "3.11" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload_time = "2025-10-12T14:55:20.501Z" } +sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload_time = "2025-10-12T14:55:18.883Z" }, + { url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload-time = "2025-10-12T14:55:18.883Z" }, ] [[package]] name = "imagesize" version = "1.4.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a7/84/62473fb57d61e31fef6e36d64a179c8781605429fd927b5dd608c997be31/imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a", size = 1280026, upload_time = "2022-07-01T12:21:05.687Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a7/84/62473fb57d61e31fef6e36d64a179c8781605429fd927b5dd608c997be31/imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a", size = 1280026, upload-time = "2022-07-01T12:21:05.687Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/ff/62/85c4c919272577931d407be5ba5d71c20f0b616d31a0befe0ae45bb79abd/imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b", size = 8769, upload_time = "2022-07-01T12:21:02.467Z" }, + { url = "https://files.pythonhosted.org/packages/ff/62/85c4c919272577931d407be5ba5d71c20f0b616d31a0befe0ae45bb79abd/imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b", size = 8769, upload-time = "2022-07-01T12:21:02.467Z" }, ] [[package]] name = "iniconfig" version = "2.3.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/72/34/14ca021ce8e5dfedc35312d08ba8bf51fdd999c576889fc2c24cb97f4f10/iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730", size = 20503, upload_time = "2025-10-18T21:55:43.219Z" } +sdist = { url = "https://files.pythonhosted.org/packages/72/34/14ca021ce8e5dfedc35312d08ba8bf51fdd999c576889fc2c24cb97f4f10/iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730", size = 20503, upload-time = "2025-10-18T21:55:43.219Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/cb/b1/3846dd7f199d53cb17f49cba7e651e9ce294d8497c8c150530ed11865bb8/iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12", size = 7484, upload_time = "2025-10-18T21:55:41.639Z" }, + { url = "https://files.pythonhosted.org/packages/cb/b1/3846dd7f199d53cb17f49cba7e651e9ce294d8497c8c150530ed11865bb8/iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12", size = 7484, upload-time = "2025-10-18T21:55:41.639Z" }, ] [[package]] @@ -737,9 +755,9 @@ 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/b9/a4/4948be6eb88628505b83a1f2f40d90254cab66abf2043b3c40fa07dfce0f/ipykernel-7.1.0.tar.gz", hash = "sha256:58a3fc88533d5930c3546dc7eac66c6d288acde4f801e2001e65edc5dc9cf0db", size = 174579, upload-time = "2025-10-27T09:46:39.471Z" } 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/a3/17/20c2552266728ceba271967b87919664ecc0e33efca29c3efc6baf88c5f9/ipykernel-7.1.0-py3-none-any.whl", hash = "sha256:763b5ec6c5b7776f6a8d7ce09b267693b4e5ce75cb50ae696aaefb3c85e1ea4c", size = 117968, upload-time = "2025-10-27T09:46:37.805Z" }, ] [[package]] @@ -758,9 +776,9 @@ dependencies = [ { name = "stack-data" }, { name = "traitlets" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/12/51/a703c030f4928646d390b4971af4938a1b10c9dfce694f0d99a0bb073cb2/ipython-9.8.0.tar.gz", hash = "sha256:8e4ce129a627eb9dd221c41b1d2cdaed4ef7c9da8c17c63f6f578fe231141f83", size = 4424940, upload_time = "2025-12-03T10:18:24.353Z" } +sdist = { url = "https://files.pythonhosted.org/packages/12/51/a703c030f4928646d390b4971af4938a1b10c9dfce694f0d99a0bb073cb2/ipython-9.8.0.tar.gz", hash = "sha256:8e4ce129a627eb9dd221c41b1d2cdaed4ef7c9da8c17c63f6f578fe231141f83", size = 4424940, upload-time = "2025-12-03T10:18:24.353Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/f1/df/8ee1c5dd1e3308b5d5b2f2dfea323bb2f3827da8d654abb6642051199049/ipython-9.8.0-py3-none-any.whl", hash = "sha256:ebe6d1d58d7d988fbf23ff8ff6d8e1622cfdb194daf4b7b73b792c4ec3b85385", size = 621374, upload_time = "2025-12-03T10:18:22.335Z" }, + { url = "https://files.pythonhosted.org/packages/f1/df/8ee1c5dd1e3308b5d5b2f2dfea323bb2f3827da8d654abb6642051199049/ipython-9.8.0-py3-none-any.whl", hash = "sha256:ebe6d1d58d7d988fbf23ff8ff6d8e1622cfdb194daf4b7b73b792c4ec3b85385", size = 621374, upload-time = "2025-12-03T10:18:22.335Z" }, ] [[package]] @@ -770,9 +788,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { 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" } +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 = [ - { url = "https://files.pythonhosted.org/packages/d9/33/1f075bf72b0b747cb3288d011319aaf64083cf2efef8354174e3ed4540e2/ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c", size = 8074, upload_time = "2025-01-17T11:24:33.271Z" }, + { url = "https://files.pythonhosted.org/packages/d9/33/1f075bf72b0b747cb3288d011319aaf64083cf2efef8354174e3ed4540e2/ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c", size = 8074, upload-time = "2025-01-17T11:24:33.271Z" }, ] [[package]] @@ -786,9 +804,9 @@ dependencies = [ { name = "traitlets" }, { name = "widgetsnbextension" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/4c/ae/c5ce1edc1afe042eadb445e95b0671b03cee61895264357956e61c0d2ac0/ipywidgets-8.1.8.tar.gz", hash = "sha256:61f969306b95f85fba6b6986b7fe45d73124d1d9e3023a8068710d47a22ea668", size = 116739, upload_time = "2025-11-01T21:18:12.393Z" } +sdist = { url = "https://files.pythonhosted.org/packages/4c/ae/c5ce1edc1afe042eadb445e95b0671b03cee61895264357956e61c0d2ac0/ipywidgets-8.1.8.tar.gz", hash = "sha256:61f969306b95f85fba6b6986b7fe45d73124d1d9e3023a8068710d47a22ea668", size = 116739, upload-time = "2025-11-01T21:18:12.393Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/56/6d/0d9848617b9f753b87f214f1c682592f7ca42de085f564352f10f0843026/ipywidgets-8.1.8-py3-none-any.whl", hash = "sha256:ecaca67aed704a338f88f67b1181b58f821ab5dc89c1f0f5ef99db43c1c2921e", size = 139808, upload_time = "2025-11-01T21:18:10.956Z" }, + { url = "https://files.pythonhosted.org/packages/56/6d/0d9848617b9f753b87f214f1c682592f7ca42de085f564352f10f0843026/ipywidgets-8.1.8-py3-none-any.whl", hash = "sha256:ecaca67aed704a338f88f67b1181b58f821ab5dc89c1f0f5ef99db43c1c2921e", size = 139808, upload-time = "2025-11-01T21:18:10.956Z" }, ] [[package]] @@ -798,9 +816,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "arrow" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/7c/1a/3c8edc664e06e6bd06cce40c6b22da5f1429aa4224d0c590f3be21c91ead/isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9", size = 11649, upload_time = "2020-11-01T11:00:00.312Z" } +sdist = { url = "https://files.pythonhosted.org/packages/7c/1a/3c8edc664e06e6bd06cce40c6b22da5f1429aa4224d0c590f3be21c91ead/isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9", size = 11649, upload-time = "2020-11-01T11:00:00.312Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/7b/55/e5326141505c5d5e34c5e0935d2908a74e4561eca44108fbfb9c13d2911a/isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042", size = 11321, upload_time = "2020-11-01T10:59:58.02Z" }, + { url = "https://files.pythonhosted.org/packages/7b/55/e5326141505c5d5e34c5e0935d2908a74e4561eca44108fbfb9c13d2911a/isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042", size = 11321, upload-time = "2020-11-01T10:59:58.02Z" }, ] [[package]] @@ -810,9 +828,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "parso" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/72/3a/79a912fbd4d8dd6fbb02bf69afd3bb72cf0c729bb3063c6f4498603db17a/jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0", size = 1231287, upload_time = "2024-11-11T01:41:42.873Z" } +sdist = { url = "https://files.pythonhosted.org/packages/72/3a/79a912fbd4d8dd6fbb02bf69afd3bb72cf0c729bb3063c6f4498603db17a/jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0", size = 1231287, upload-time = "2024-11-11T01:41:42.873Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c0/5a/9cac0c82afec3d09ccd97c8b6502d48f165f9124db81b4bcb90b4af974ee/jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9", size = 1572278, upload_time = "2024-11-11T01:41:40.175Z" }, + { url = "https://files.pythonhosted.org/packages/c0/5a/9cac0c82afec3d09ccd97c8b6502d48f165f9124db81b4bcb90b4af974ee/jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9", size = 1572278, upload-time = "2024-11-11T01:41:40.175Z" }, ] [[package]] @@ -822,27 +840,27 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "markupsafe" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/df/bf/f7da0350254c0ed7c72f3e33cef02e048281fec7ecec5f032d4aac52226b/jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d", size = 245115, upload_time = "2025-03-05T20:05:02.478Z" } +sdist = { url = "https://files.pythonhosted.org/packages/df/bf/f7da0350254c0ed7c72f3e33cef02e048281fec7ecec5f032d4aac52226b/jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d", size = 245115, upload-time = "2025-03-05T20:05:02.478Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67", size = 134899, upload_time = "2025-03-05T20:05:00.369Z" }, + { url = "https://files.pythonhosted.org/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67", size = 134899, upload-time = "2025-03-05T20:05:00.369Z" }, ] [[package]] name = "json5" version = "0.12.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/12/ae/929aee9619e9eba9015207a9d2c1c54db18311da7eb4dcf6d41ad6f0eb67/json5-0.12.1.tar.gz", hash = "sha256:b2743e77b3242f8d03c143dd975a6ec7c52e2f2afe76ed934e53503dd4ad4990", size = 52191, upload_time = "2025-08-12T19:47:42.583Z" } +sdist = { url = "https://files.pythonhosted.org/packages/12/ae/929aee9619e9eba9015207a9d2c1c54db18311da7eb4dcf6d41ad6f0eb67/json5-0.12.1.tar.gz", hash = "sha256:b2743e77b3242f8d03c143dd975a6ec7c52e2f2afe76ed934e53503dd4ad4990", size = 52191, upload-time = "2025-08-12T19:47:42.583Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/85/e2/05328bd2621be49a6fed9e3030b1e51a2d04537d3f816d211b9cc53c5262/json5-0.12.1-py3-none-any.whl", hash = "sha256:d9c9b3bc34a5f54d43c35e11ef7cb87d8bdd098c6ace87117a7b7e83e705c1d5", size = 36119, upload_time = "2025-08-12T19:47:41.131Z" }, + { url = "https://files.pythonhosted.org/packages/85/e2/05328bd2621be49a6fed9e3030b1e51a2d04537d3f816d211b9cc53c5262/json5-0.12.1-py3-none-any.whl", hash = "sha256:d9c9b3bc34a5f54d43c35e11ef7cb87d8bdd098c6ace87117a7b7e83e705c1d5", size = 36119, upload-time = "2025-08-12T19:47:41.131Z" }, ] [[package]] name = "jsonpointer" version = "3.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/6a/0a/eebeb1fa92507ea94016a2a790b93c2ae41a7e18778f85471dc54475ed25/jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef", size = 9114, upload_time = "2024-06-10T19:24:42.462Z" } +sdist = { url = "https://files.pythonhosted.org/packages/6a/0a/eebeb1fa92507ea94016a2a790b93c2ae41a7e18778f85471dc54475ed25/jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef", size = 9114, upload-time = "2024-06-10T19:24:42.462Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/71/92/5e77f98553e9e75130c78900d000368476aed74276eb8ae8796f65f00918/jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942", size = 7595, upload_time = "2024-06-10T19:24:40.698Z" }, + { url = "https://files.pythonhosted.org/packages/71/92/5e77f98553e9e75130c78900d000368476aed74276eb8ae8796f65f00918/jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942", size = 7595, upload-time = "2024-06-10T19:24:40.698Z" }, ] [[package]] @@ -855,9 +873,9 @@ dependencies = [ { name = "referencing" }, { name = "rpds-py" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/74/69/f7185de793a29082a9f3c7728268ffb31cb5095131a9c139a74078e27336/jsonschema-4.25.1.tar.gz", hash = "sha256:e4a9655ce0da0c0b67a085847e00a3a51449e1157f4f75e9fb5aa545e122eb85", size = 357342, upload_time = "2025-08-18T17:03:50.038Z" } +sdist = { url = "https://files.pythonhosted.org/packages/74/69/f7185de793a29082a9f3c7728268ffb31cb5095131a9c139a74078e27336/jsonschema-4.25.1.tar.gz", hash = "sha256:e4a9655ce0da0c0b67a085847e00a3a51449e1157f4f75e9fb5aa545e122eb85", size = 357342, upload-time = "2025-08-18T17:03:50.038Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/bf/9c/8c95d856233c1f82500c2450b8c68576b4cf1c871db3afac5c34ff84e6fd/jsonschema-4.25.1-py3-none-any.whl", hash = "sha256:3fba0169e345c7175110351d456342c364814cfcf3b964ba4587f22915230a63", size = 90040, upload_time = "2025-08-18T17:03:48.373Z" }, + { url = "https://files.pythonhosted.org/packages/bf/9c/8c95d856233c1f82500c2450b8c68576b4cf1c871db3afac5c34ff84e6fd/jsonschema-4.25.1-py3-none-any.whl", hash = "sha256:3fba0169e345c7175110351d456342c364814cfcf3b964ba4587f22915230a63", size = 90040, upload-time = "2025-08-18T17:03:48.373Z" }, ] [package.optional-dependencies] @@ -880,9 +898,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "referencing" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/19/74/a633ee74eb36c44aa6d1095e7cc5569bebf04342ee146178e2d36600708b/jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d", size = 32855, upload_time = "2025-09-08T01:34:59.186Z" } +sdist = { url = "https://files.pythonhosted.org/packages/19/74/a633ee74eb36c44aa6d1095e7cc5569bebf04342ee146178e2d36600708b/jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d", size = 32855, upload-time = "2025-09-08T01:34:59.186Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/41/45/1a4ed80516f02155c51f51e8cedb3c1902296743db0bbc66608a0db2814f/jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe", size = 18437, upload_time = "2025-09-08T01:34:57.871Z" }, + { url = "https://files.pythonhosted.org/packages/41/45/1a4ed80516f02155c51f51e8cedb3c1902296743db0bbc66608a0db2814f/jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe", size = 18437, upload-time = "2025-09-08T01:34:57.871Z" }, ] [[package]] @@ -897,9 +915,9 @@ dependencies = [ { name = "nbconvert" }, { name = "notebook" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/58/f3/af28ea964ab8bc1e472dba2e82627d36d470c51f5cd38c37502eeffaa25e/jupyter-1.1.1.tar.gz", hash = "sha256:d55467bceabdea49d7e3624af7e33d59c37fff53ed3a350e1ac957bed731de7a", size = 5714959, upload_time = "2024-08-30T07:15:48.299Z" } +sdist = { url = "https://files.pythonhosted.org/packages/58/f3/af28ea964ab8bc1e472dba2e82627d36d470c51f5cd38c37502eeffaa25e/jupyter-1.1.1.tar.gz", hash = "sha256:d55467bceabdea49d7e3624af7e33d59c37fff53ed3a350e1ac957bed731de7a", size = 5714959, upload-time = "2024-08-30T07:15:48.299Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/38/64/285f20a31679bf547b75602702f7800e74dbabae36ef324f716c02804753/jupyter-1.1.1-py2.py3-none-any.whl", hash = "sha256:7a59533c22af65439b24bbe60373a4e95af8f16ac65a6c00820ad378e3f7cc83", size = 2657, upload_time = "2024-08-30T07:15:47.045Z" }, + { url = "https://files.pythonhosted.org/packages/38/64/285f20a31679bf547b75602702f7800e74dbabae36ef324f716c02804753/jupyter-1.1.1-py2.py3-none-any.whl", hash = "sha256:7a59533c22af65439b24bbe60373a4e95af8f16ac65a6c00820ad378e3f7cc83", size = 2657, upload-time = "2024-08-30T07:15:47.045Z" }, ] [[package]] @@ -913,9 +931,9 @@ dependencies = [ { name = "tornado" }, { name = "traitlets" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/71/22/bf9f12fdaeae18019a468b68952a60fe6dbab5d67cd2a103cac7659b41ca/jupyter_client-8.6.3.tar.gz", hash = "sha256:35b3a0947c4a6e9d589eb97d7d4cd5e90f910ee73101611f01283732bd6d9419", size = 342019, upload_time = "2024-09-17T10:44:17.613Z" } +sdist = { url = "https://files.pythonhosted.org/packages/71/22/bf9f12fdaeae18019a468b68952a60fe6dbab5d67cd2a103cac7659b41ca/jupyter_client-8.6.3.tar.gz", hash = "sha256:35b3a0947c4a6e9d589eb97d7d4cd5e90f910ee73101611f01283732bd6d9419", size = 342019, upload-time = "2024-09-17T10:44:17.613Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/11/85/b0394e0b6fcccd2c1eeefc230978a6f8cb0c5df1e4cd3e7625735a0d7d1e/jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f", size = 106105, upload_time = "2024-09-17T10:44:15.218Z" }, + { url = "https://files.pythonhosted.org/packages/11/85/b0394e0b6fcccd2c1eeefc230978a6f8cb0c5df1e4cd3e7625735a0d7d1e/jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f", size = 106105, upload-time = "2024-09-17T10:44:15.218Z" }, ] [[package]] @@ -932,9 +950,9 @@ dependencies = [ { name = "pyzmq" }, { name = "traitlets" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/bd/2d/e2fd31e2fc41c14e2bcb6c976ab732597e907523f6b2420305f9fc7fdbdb/jupyter_console-6.6.3.tar.gz", hash = "sha256:566a4bf31c87adbfadf22cdf846e3069b59a71ed5da71d6ba4d8aaad14a53539", size = 34363, upload_time = "2023-03-06T14:13:31.02Z" } +sdist = { url = "https://files.pythonhosted.org/packages/bd/2d/e2fd31e2fc41c14e2bcb6c976ab732597e907523f6b2420305f9fc7fdbdb/jupyter_console-6.6.3.tar.gz", hash = "sha256:566a4bf31c87adbfadf22cdf846e3069b59a71ed5da71d6ba4d8aaad14a53539", size = 34363, upload-time = "2023-03-06T14:13:31.02Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/ca/77/71d78d58f15c22db16328a476426f7ac4a60d3a5a7ba3b9627ee2f7903d4/jupyter_console-6.6.3-py3-none-any.whl", hash = "sha256:309d33409fcc92ffdad25f0bcdf9a4a9daa61b6f341177570fdac03de5352485", size = 24510, upload_time = "2023-03-06T14:13:28.229Z" }, + { url = "https://files.pythonhosted.org/packages/ca/77/71d78d58f15c22db16328a476426f7ac4a60d3a5a7ba3b9627ee2f7903d4/jupyter_console-6.6.3-py3-none-any.whl", hash = "sha256:309d33409fcc92ffdad25f0bcdf9a4a9daa61b6f341177570fdac03de5352485", size = 24510, upload-time = "2023-03-06T14:13:28.229Z" }, ] [[package]] @@ -945,9 +963,9 @@ dependencies = [ { name = "platformdirs" }, { name = "traitlets" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/02/49/9d1284d0dc65e2c757b74c6687b6d319b02f822ad039e5c512df9194d9dd/jupyter_core-5.9.1.tar.gz", hash = "sha256:4d09aaff303b9566c3ce657f580bd089ff5c91f5f89cf7d8846c3cdf465b5508", size = 89814, upload_time = "2025-10-16T19:19:18.444Z" } +sdist = { url = "https://files.pythonhosted.org/packages/02/49/9d1284d0dc65e2c757b74c6687b6d319b02f822ad039e5c512df9194d9dd/jupyter_core-5.9.1.tar.gz", hash = "sha256:4d09aaff303b9566c3ce657f580bd089ff5c91f5f89cf7d8846c3cdf465b5508", size = 89814, upload-time = "2025-10-16T19:19:18.444Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e7/e7/80988e32bf6f73919a113473a604f5a8f09094de312b9d52b79c2df7612b/jupyter_core-5.9.1-py3-none-any.whl", hash = "sha256:ebf87fdc6073d142e114c72c9e29a9d7ca03fad818c5d300ce2adc1fb0743407", size = 29032, upload_time = "2025-10-16T19:19:16.783Z" }, + { url = "https://files.pythonhosted.org/packages/e7/e7/80988e32bf6f73919a113473a604f5a8f09094de312b9d52b79c2df7612b/jupyter_core-5.9.1-py3-none-any.whl", hash = "sha256:ebf87fdc6073d142e114c72c9e29a9d7ca03fad818c5d300ce2adc1fb0743407", size = 29032, upload-time = "2025-10-16T19:19:16.783Z" }, ] [[package]] @@ -964,9 +982,9 @@ dependencies = [ { name = "rfc3986-validator" }, { name = "traitlets" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/9d/c3/306d090461e4cf3cd91eceaff84bede12a8e52cd821c2d20c9a4fd728385/jupyter_events-0.12.0.tar.gz", hash = "sha256:fc3fce98865f6784c9cd0a56a20644fc6098f21c8c33834a8d9fe383c17e554b", size = 62196, upload_time = "2025-02-03T17:23:41.485Z" } +sdist = { url = "https://files.pythonhosted.org/packages/9d/c3/306d090461e4cf3cd91eceaff84bede12a8e52cd821c2d20c9a4fd728385/jupyter_events-0.12.0.tar.gz", hash = "sha256:fc3fce98865f6784c9cd0a56a20644fc6098f21c8c33834a8d9fe383c17e554b", size = 62196, upload-time = "2025-02-03T17:23:41.485Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e2/48/577993f1f99c552f18a0428731a755e06171f9902fa118c379eb7c04ea22/jupyter_events-0.12.0-py3-none-any.whl", hash = "sha256:6464b2fa5ad10451c3d35fabc75eab39556ae1e2853ad0c0cc31b656731a97fb", size = 19430, upload_time = "2025-02-03T17:23:38.643Z" }, + { url = "https://files.pythonhosted.org/packages/e2/48/577993f1f99c552f18a0428731a755e06171f9902fa118c379eb7c04ea22/jupyter_events-0.12.0-py3-none-any.whl", hash = "sha256:6464b2fa5ad10451c3d35fabc75eab39556ae1e2853ad0c0cc31b656731a97fb", size = 19430, upload-time = "2025-02-03T17:23:38.643Z" }, ] [[package]] @@ -976,9 +994,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "jupyter-server" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/eb/5a/9066c9f8e94ee517133cd98dba393459a16cd48bba71a82f16a65415206c/jupyter_lsp-2.3.0.tar.gz", hash = "sha256:458aa59339dc868fb784d73364f17dbce8836e906cd75fd471a325cba02e0245", size = 54823, upload_time = "2025-08-27T17:47:34.671Z" } +sdist = { url = "https://files.pythonhosted.org/packages/eb/5a/9066c9f8e94ee517133cd98dba393459a16cd48bba71a82f16a65415206c/jupyter_lsp-2.3.0.tar.gz", hash = "sha256:458aa59339dc868fb784d73364f17dbce8836e906cd75fd471a325cba02e0245", size = 54823, upload-time = "2025-08-27T17:47:34.671Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/1a/60/1f6cee0c46263de1173894f0fafcb3475ded276c472c14d25e0280c18d6d/jupyter_lsp-2.3.0-py3-none-any.whl", hash = "sha256:e914a3cb2addf48b1c7710914771aaf1819d46b2e5a79b0f917b5478ec93f34f", size = 76687, upload_time = "2025-08-27T17:47:33.15Z" }, + { url = "https://files.pythonhosted.org/packages/1a/60/1f6cee0c46263de1173894f0fafcb3475ded276c472c14d25e0280c18d6d/jupyter_lsp-2.3.0-py3-none-any.whl", hash = "sha256:e914a3cb2addf48b1c7710914771aaf1819d46b2e5a79b0f917b5478ec93f34f", size = 76687, upload-time = "2025-08-27T17:47:33.15Z" }, ] [[package]] @@ -1005,9 +1023,9 @@ dependencies = [ { name = "traitlets" }, { name = "websocket-client" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/5b/ac/e040ec363d7b6b1f11304cc9f209dac4517ece5d5e01821366b924a64a50/jupyter_server-2.17.0.tar.gz", hash = "sha256:c38ea898566964c888b4772ae1ed58eca84592e88251d2cfc4d171f81f7e99d5", size = 731949, upload_time = "2025-08-21T14:42:54.042Z" } +sdist = { url = "https://files.pythonhosted.org/packages/5b/ac/e040ec363d7b6b1f11304cc9f209dac4517ece5d5e01821366b924a64a50/jupyter_server-2.17.0.tar.gz", hash = "sha256:c38ea898566964c888b4772ae1ed58eca84592e88251d2cfc4d171f81f7e99d5", size = 731949, upload-time = "2025-08-21T14:42:54.042Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/92/80/a24767e6ca280f5a49525d987bf3e4d7552bf67c8be07e8ccf20271f8568/jupyter_server-2.17.0-py3-none-any.whl", hash = "sha256:e8cb9c7db4251f51ed307e329b81b72ccf2056ff82d50524debde1ee1870e13f", size = 388221, upload_time = "2025-08-21T14:42:52.034Z" }, + { url = "https://files.pythonhosted.org/packages/92/80/a24767e6ca280f5a49525d987bf3e4d7552bf67c8be07e8ccf20271f8568/jupyter_server-2.17.0-py3-none-any.whl", hash = "sha256:e8cb9c7db4251f51ed307e329b81b72ccf2056ff82d50524debde1ee1870e13f", size = 388221, upload-time = "2025-08-21T14:42:52.034Z" }, ] [[package]] @@ -1018,9 +1036,9 @@ dependencies = [ { name = "pywinpty", marker = "os_name == 'nt'" }, { name = "terminado" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/fc/d5/562469734f476159e99a55426d697cbf8e7eb5efe89fb0e0b4f83a3d3459/jupyter_server_terminals-0.5.3.tar.gz", hash = "sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269", size = 31430, upload_time = "2024-03-12T14:37:03.049Z" } +sdist = { url = "https://files.pythonhosted.org/packages/fc/d5/562469734f476159e99a55426d697cbf8e7eb5efe89fb0e0b4f83a3d3459/jupyter_server_terminals-0.5.3.tar.gz", hash = "sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269", size = 31430, upload-time = "2024-03-12T14:37:03.049Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/07/2d/2b32cdbe8d2a602f697a649798554e4f072115438e92249624e532e8aca6/jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa", size = 13656, upload_time = "2024-03-12T14:37:00.708Z" }, + { url = "https://files.pythonhosted.org/packages/07/2d/2b32cdbe8d2a602f697a649798554e4f072115438e92249624e532e8aca6/jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa", size = 13656, upload-time = "2024-03-12T14:37:00.708Z" }, ] [[package]] @@ -1042,18 +1060,18 @@ dependencies = [ { name = "tornado" }, { name = "traitlets" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/df/e5/4fa382a796a6d8e2cd867816b64f1ff27f906e43a7a83ad9eb389e448cd8/jupyterlab-4.5.0.tar.gz", hash = "sha256:aec33d6d8f1225b495ee2cf20f0514f45e6df8e360bdd7ac9bace0b7ac5177ea", size = 23989880, upload_time = "2025-11-18T13:19:00.365Z" } +sdist = { url = "https://files.pythonhosted.org/packages/df/e5/4fa382a796a6d8e2cd867816b64f1ff27f906e43a7a83ad9eb389e448cd8/jupyterlab-4.5.0.tar.gz", hash = "sha256:aec33d6d8f1225b495ee2cf20f0514f45e6df8e360bdd7ac9bace0b7ac5177ea", size = 23989880, upload-time = "2025-11-18T13:19:00.365Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/6c/1e/5a4d5498eba382fee667ed797cf64ae5d1b13b04356df62f067f48bb0f61/jupyterlab-4.5.0-py3-none-any.whl", hash = "sha256:88e157c75c1afff64c7dc4b801ec471450b922a4eae4305211ddd40da8201c8a", size = 12380641, upload_time = "2025-11-18T13:18:56.252Z" }, + { url = "https://files.pythonhosted.org/packages/6c/1e/5a4d5498eba382fee667ed797cf64ae5d1b13b04356df62f067f48bb0f61/jupyterlab-4.5.0-py3-none-any.whl", hash = "sha256:88e157c75c1afff64c7dc4b801ec471450b922a4eae4305211ddd40da8201c8a", size = 12380641, upload-time = "2025-11-18T13:18:56.252Z" }, ] [[package]] name = "jupyterlab-pygments" version = "0.3.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/90/51/9187be60d989df97f5f0aba133fa54e7300f17616e065d1ada7d7646b6d6/jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d", size = 512900, upload_time = "2023-11-23T09:26:37.44Z" } +sdist = { url = "https://files.pythonhosted.org/packages/90/51/9187be60d989df97f5f0aba133fa54e7300f17616e065d1ada7d7646b6d6/jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d", size = 512900, upload-time = "2023-11-23T09:26:37.44Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/b1/dd/ead9d8ea85bf202d90cc513b533f9c363121c7792674f78e0d8a854b63b4/jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780", size = 15884, upload_time = "2023-11-23T09:26:34.325Z" }, + { url = "https://files.pythonhosted.org/packages/b1/dd/ead9d8ea85bf202d90cc513b533f9c363121c7792674f78e0d8a854b63b4/jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780", size = 15884, upload-time = "2023-11-23T09:26:34.325Z" }, ] [[package]] @@ -1069,162 +1087,178 @@ dependencies = [ { name = "packaging" }, { name = "requests" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/d6/2c/90153f189e421e93c4bb4f9e3f59802a1f01abd2ac5cf40b152d7f735232/jupyterlab_server-2.28.0.tar.gz", hash = "sha256:35baa81898b15f93573e2deca50d11ac0ae407ebb688299d3a5213265033712c", size = 76996, upload_time = "2025-10-22T13:59:18.37Z" } +sdist = { url = "https://files.pythonhosted.org/packages/d6/2c/90153f189e421e93c4bb4f9e3f59802a1f01abd2ac5cf40b152d7f735232/jupyterlab_server-2.28.0.tar.gz", hash = "sha256:35baa81898b15f93573e2deca50d11ac0ae407ebb688299d3a5213265033712c", size = 76996, upload-time = "2025-10-22T13:59:18.37Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e0/07/a000fe835f76b7e1143242ab1122e6362ef1c03f23f83a045c38859c2ae0/jupyterlab_server-2.28.0-py3-none-any.whl", hash = "sha256:e4355b148fdcf34d312bbbc80f22467d6d20460e8b8736bf235577dd18506968", size = 59830, upload_time = "2025-10-22T13:59:16.767Z" }, + { url = "https://files.pythonhosted.org/packages/e0/07/a000fe835f76b7e1143242ab1122e6362ef1c03f23f83a045c38859c2ae0/jupyterlab_server-2.28.0-py3-none-any.whl", hash = "sha256:e4355b148fdcf34d312bbbc80f22467d6d20460e8b8736bf235577dd18506968", size = 59830, upload-time = "2025-10-22T13:59:16.767Z" }, ] [[package]] name = "jupyterlab-widgets" version = "3.0.16" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/26/2d/ef58fed122b268c69c0aa099da20bc67657cdfb2e222688d5731bd5b971d/jupyterlab_widgets-3.0.16.tar.gz", hash = "sha256:423da05071d55cf27a9e602216d35a3a65a3e41cdf9c5d3b643b814ce38c19e0", size = 897423, upload_time = "2025-11-01T21:11:29.724Z" } +sdist = { url = "https://files.pythonhosted.org/packages/26/2d/ef58fed122b268c69c0aa099da20bc67657cdfb2e222688d5731bd5b971d/jupyterlab_widgets-3.0.16.tar.gz", hash = "sha256:423da05071d55cf27a9e602216d35a3a65a3e41cdf9c5d3b643b814ce38c19e0", size = 897423, upload-time = "2025-11-01T21:11:29.724Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/ab/b5/36c712098e6191d1b4e349304ef73a8d06aed77e56ceaac8c0a306c7bda1/jupyterlab_widgets-3.0.16-py3-none-any.whl", hash = "sha256:45fa36d9c6422cf2559198e4db481aa243c7a32d9926b500781c830c80f7ecf8", size = 914926, upload_time = "2025-11-01T21:11:28.008Z" }, + { url = "https://files.pythonhosted.org/packages/ab/b5/36c712098e6191d1b4e349304ef73a8d06aed77e56ceaac8c0a306c7bda1/jupyterlab_widgets-3.0.16-py3-none-any.whl", hash = "sha256:45fa36d9c6422cf2559198e4db481aa243c7a32d9926b500781c830c80f7ecf8", size = 914926, upload-time = "2025-11-01T21:11:28.008Z" }, ] [[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/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/31/c1/c2686cda909742ab66c7388e9a1a8521a59eb89f8bcfbee28fc980d07e24/kiwisolver-1.4.9-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a5d0432ccf1c7ab14f9949eec60c5d1f924f17c037e9f8b33352fa05799359b8", size = 123681, upload_time = "2025-08-10T21:26:26.725Z" }, - { url = "https://files.pythonhosted.org/packages/ca/f0/f44f50c9f5b1a1860261092e3bc91ecdc9acda848a8b8c6abfda4a24dd5c/kiwisolver-1.4.9-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efb3a45b35622bb6c16dbfab491a8f5a391fe0e9d45ef32f4df85658232ca0e2", size = 66464, upload_time = "2025-08-10T21:26:27.733Z" }, - { url = "https://files.pythonhosted.org/packages/2d/7a/9d90a151f558e29c3936b8a47ac770235f436f2120aca41a6d5f3d62ae8d/kiwisolver-1.4.9-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1a12cf6398e8a0a001a059747a1cbf24705e18fe413bc22de7b3d15c67cffe3f", size = 64961, upload_time = "2025-08-10T21:26:28.729Z" }, - { url = "https://files.pythonhosted.org/packages/e9/e9/f218a2cb3a9ffbe324ca29a9e399fa2d2866d7f348ec3a88df87fc248fc5/kiwisolver-1.4.9-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b67e6efbf68e077dd71d1a6b37e43e1a99d0bff1a3d51867d45ee8908b931098", size = 1474607, upload_time = "2025-08-10T21:26:29.798Z" }, - { url = "https://files.pythonhosted.org/packages/d9/28/aac26d4c882f14de59041636292bc838db8961373825df23b8eeb807e198/kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5656aa670507437af0207645273ccdfee4f14bacd7f7c67a4306d0dcaeaf6eed", size = 1276546, upload_time = "2025-08-10T21:26:31.401Z" }, - { url = "https://files.pythonhosted.org/packages/8b/ad/8bfc1c93d4cc565e5069162f610ba2f48ff39b7de4b5b8d93f69f30c4bed/kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:bfc08add558155345129c7803b3671cf195e6a56e7a12f3dde7c57d9b417f525", size = 1294482, upload_time = "2025-08-10T21:26:32.721Z" }, - { url = "https://files.pythonhosted.org/packages/da/f1/6aca55ff798901d8ce403206d00e033191f63d82dd708a186e0ed2067e9c/kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:40092754720b174e6ccf9e845d0d8c7d8e12c3d71e7fc35f55f3813e96376f78", size = 1343720, upload_time = "2025-08-10T21:26:34.032Z" }, - { url = "https://files.pythonhosted.org/packages/d1/91/eed031876c595c81d90d0f6fc681ece250e14bf6998c3d7c419466b523b7/kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:497d05f29a1300d14e02e6441cf0f5ee81c1ff5a304b0d9fb77423974684e08b", size = 2224907, upload_time = "2025-08-10T21:26:35.824Z" }, - { url = "https://files.pythonhosted.org/packages/e9/ec/4d1925f2e49617b9cca9c34bfa11adefad49d00db038e692a559454dfb2e/kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:bdd1a81a1860476eb41ac4bc1e07b3f07259e6d55bbf739b79c8aaedcf512799", size = 2321334, upload_time = "2025-08-10T21:26:37.534Z" }, - { url = "https://files.pythonhosted.org/packages/43/cb/450cd4499356f68802750c6ddc18647b8ea01ffa28f50d20598e0befe6e9/kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:e6b93f13371d341afee3be9f7c5964e3fe61d5fa30f6a30eb49856935dfe4fc3", size = 2488313, upload_time = "2025-08-10T21:26:39.191Z" }, - { url = "https://files.pythonhosted.org/packages/71/67/fc76242bd99f885651128a5d4fa6083e5524694b7c88b489b1b55fdc491d/kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:d75aa530ccfaa593da12834b86a0724f58bff12706659baa9227c2ccaa06264c", size = 2291970, upload_time = "2025-08-10T21:26:40.828Z" }, - { url = "https://files.pythonhosted.org/packages/75/bd/f1a5d894000941739f2ae1b65a32892349423ad49c2e6d0771d0bad3fae4/kiwisolver-1.4.9-cp313-cp313-win_amd64.whl", hash = "sha256:dd0a578400839256df88c16abddf9ba14813ec5f21362e1fe65022e00c883d4d", size = 73894, upload_time = "2025-08-10T21:26:42.33Z" }, - { url = "https://files.pythonhosted.org/packages/95/38/dce480814d25b99a391abbddadc78f7c117c6da34be68ca8b02d5848b424/kiwisolver-1.4.9-cp313-cp313-win_arm64.whl", hash = "sha256:d4188e73af84ca82468f09cadc5ac4db578109e52acb4518d8154698d3a87ca2", size = 64995, upload_time = "2025-08-10T21:26:43.889Z" }, - { url = "https://files.pythonhosted.org/packages/e2/37/7d218ce5d92dadc5ebdd9070d903e0c7cf7edfe03f179433ac4d13ce659c/kiwisolver-1.4.9-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:5a0f2724dfd4e3b3ac5a82436a8e6fd16baa7d507117e4279b660fe8ca38a3a1", size = 126510, upload_time = "2025-08-10T21:26:44.915Z" }, - { url = "https://files.pythonhosted.org/packages/23/b0/e85a2b48233daef4b648fb657ebbb6f8367696a2d9548a00b4ee0eb67803/kiwisolver-1.4.9-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:1b11d6a633e4ed84fc0ddafd4ebfd8ea49b3f25082c04ad12b8315c11d504dc1", size = 67903, upload_time = "2025-08-10T21:26:45.934Z" }, - { url = "https://files.pythonhosted.org/packages/44/98/f2425bc0113ad7de24da6bb4dae1343476e95e1d738be7c04d31a5d037fd/kiwisolver-1.4.9-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:61874cdb0a36016354853593cffc38e56fc9ca5aa97d2c05d3dcf6922cd55a11", size = 66402, upload_time = "2025-08-10T21:26:47.101Z" }, - { url = "https://files.pythonhosted.org/packages/98/d8/594657886df9f34c4177cc353cc28ca7e6e5eb562d37ccc233bff43bbe2a/kiwisolver-1.4.9-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:60c439763a969a6af93b4881db0eed8fadf93ee98e18cbc35bc8da868d0c4f0c", size = 1582135, upload_time = "2025-08-10T21:26:48.665Z" }, - { url = "https://files.pythonhosted.org/packages/5c/c6/38a115b7170f8b306fc929e166340c24958347308ea3012c2b44e7e295db/kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92a2f997387a1b79a75e7803aa7ded2cfbe2823852ccf1ba3bcf613b62ae3197", size = 1389409, upload_time = "2025-08-10T21:26:50.335Z" }, - { url = "https://files.pythonhosted.org/packages/bf/3b/e04883dace81f24a568bcee6eb3001da4ba05114afa622ec9b6fafdc1f5e/kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a31d512c812daea6d8b3be3b2bfcbeb091dbb09177706569bcfc6240dcf8b41c", size = 1401763, upload_time = "2025-08-10T21:26:51.867Z" }, - { url = "https://files.pythonhosted.org/packages/9f/80/20ace48e33408947af49d7d15c341eaee69e4e0304aab4b7660e234d6288/kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:52a15b0f35dad39862d376df10c5230155243a2c1a436e39eb55623ccbd68185", size = 1453643, upload_time = "2025-08-10T21:26:53.592Z" }, - { url = "https://files.pythonhosted.org/packages/64/31/6ce4380a4cd1f515bdda976a1e90e547ccd47b67a1546d63884463c92ca9/kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a30fd6fdef1430fd9e1ba7b3398b5ee4e2887783917a687d86ba69985fb08748", size = 2330818, upload_time = "2025-08-10T21:26:55.051Z" }, - { url = "https://files.pythonhosted.org/packages/fa/e9/3f3fcba3bcc7432c795b82646306e822f3fd74df0ee81f0fa067a1f95668/kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:cc9617b46837c6468197b5945e196ee9ca43057bb7d9d1ae688101e4e1dddf64", size = 2419963, upload_time = "2025-08-10T21:26:56.421Z" }, - { url = "https://files.pythonhosted.org/packages/99/43/7320c50e4133575c66e9f7dadead35ab22d7c012a3b09bb35647792b2a6d/kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:0ab74e19f6a2b027ea4f845a78827969af45ce790e6cb3e1ebab71bdf9f215ff", size = 2594639, upload_time = "2025-08-10T21:26:57.882Z" }, - { url = "https://files.pythonhosted.org/packages/65/d6/17ae4a270d4a987ef8a385b906d2bdfc9fce502d6dc0d3aea865b47f548c/kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:dba5ee5d3981160c28d5490f0d1b7ed730c22470ff7f6cc26cfcfaacb9896a07", size = 2391741, upload_time = "2025-08-10T21:26:59.237Z" }, - { url = "https://files.pythonhosted.org/packages/2a/8f/8f6f491d595a9e5912971f3f863d81baddccc8a4d0c3749d6a0dd9ffc9df/kiwisolver-1.4.9-cp313-cp313t-win_arm64.whl", hash = "sha256:0749fd8f4218ad2e851e11cc4dc05c7cbc0cbc4267bdfdb31782e65aace4ee9c", size = 68646, upload_time = "2025-08-10T21:27:00.52Z" }, - { url = "https://files.pythonhosted.org/packages/6b/32/6cc0fbc9c54d06c2969faa9c1d29f5751a2e51809dd55c69055e62d9b426/kiwisolver-1.4.9-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:9928fe1eb816d11ae170885a74d074f57af3a0d65777ca47e9aeb854a1fba386", size = 123806, upload_time = "2025-08-10T21:27:01.537Z" }, - { url = "https://files.pythonhosted.org/packages/b2/dd/2bfb1d4a4823d92e8cbb420fe024b8d2167f72079b3bb941207c42570bdf/kiwisolver-1.4.9-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:d0005b053977e7b43388ddec89fa567f43d4f6d5c2c0affe57de5ebf290dc552", size = 66605, upload_time = "2025-08-10T21:27:03.335Z" }, - { url = "https://files.pythonhosted.org/packages/f7/69/00aafdb4e4509c2ca6064646cba9cd4b37933898f426756adb2cb92ebbed/kiwisolver-1.4.9-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:2635d352d67458b66fd0667c14cb1d4145e9560d503219034a18a87e971ce4f3", size = 64925, upload_time = "2025-08-10T21:27:04.339Z" }, - { url = "https://files.pythonhosted.org/packages/43/dc/51acc6791aa14e5cb6d8a2e28cefb0dc2886d8862795449d021334c0df20/kiwisolver-1.4.9-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:767c23ad1c58c9e827b649a9ab7809fd5fd9db266a9cf02b0e926ddc2c680d58", size = 1472414, upload_time = "2025-08-10T21:27:05.437Z" }, - { url = "https://files.pythonhosted.org/packages/3d/bb/93fa64a81db304ac8a246f834d5094fae4b13baf53c839d6bb6e81177129/kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:72d0eb9fba308b8311685c2268cf7d0a0639a6cd027d8128659f72bdd8a024b4", size = 1281272, upload_time = "2025-08-10T21:27:07.063Z" }, - { url = "https://files.pythonhosted.org/packages/70/e6/6df102916960fb8d05069d4bd92d6d9a8202d5a3e2444494e7cd50f65b7a/kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f68e4f3eeca8fb22cc3d731f9715a13b652795ef657a13df1ad0c7dc0e9731df", size = 1298578, upload_time = "2025-08-10T21:27:08.452Z" }, - { url = "https://files.pythonhosted.org/packages/7c/47/e142aaa612f5343736b087864dbaebc53ea8831453fb47e7521fa8658f30/kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d84cd4061ae292d8ac367b2c3fa3aad11cb8625a95d135fe93f286f914f3f5a6", size = 1345607, upload_time = "2025-08-10T21:27:10.125Z" }, - { url = "https://files.pythonhosted.org/packages/54/89/d641a746194a0f4d1a3670fb900d0dbaa786fb98341056814bc3f058fa52/kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:a60ea74330b91bd22a29638940d115df9dc00af5035a9a2a6ad9399ffb4ceca5", size = 2230150, upload_time = "2025-08-10T21:27:11.484Z" }, - { url = "https://files.pythonhosted.org/packages/aa/6b/5ee1207198febdf16ac11f78c5ae40861b809cbe0e6d2a8d5b0b3044b199/kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:ce6a3a4e106cf35c2d9c4fa17c05ce0b180db622736845d4315519397a77beaf", size = 2325979, upload_time = "2025-08-10T21:27:12.917Z" }, - { url = "https://files.pythonhosted.org/packages/fc/ff/b269eefd90f4ae14dcc74973d5a0f6d28d3b9bb1afd8c0340513afe6b39a/kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:77937e5e2a38a7b48eef0585114fe7930346993a88060d0bf886086d2aa49ef5", size = 2491456, upload_time = "2025-08-10T21:27:14.353Z" }, - { url = "https://files.pythonhosted.org/packages/fc/d4/10303190bd4d30de547534601e259a4fbf014eed94aae3e5521129215086/kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:24c175051354f4a28c5d6a31c93906dc653e2bf234e8a4bbfb964892078898ce", size = 2294621, upload_time = "2025-08-10T21:27:15.808Z" }, - { url = "https://files.pythonhosted.org/packages/28/e0/a9a90416fce5c0be25742729c2ea52105d62eda6c4be4d803c2a7be1fa50/kiwisolver-1.4.9-cp314-cp314-win_amd64.whl", hash = "sha256:0763515d4df10edf6d06a3c19734e2566368980d21ebec439f33f9eb936c07b7", size = 75417, upload_time = "2025-08-10T21:27:17.436Z" }, - { url = "https://files.pythonhosted.org/packages/1f/10/6949958215b7a9a264299a7db195564e87900f709db9245e4ebdd3c70779/kiwisolver-1.4.9-cp314-cp314-win_arm64.whl", hash = "sha256:0e4e2bf29574a6a7b7f6cb5fa69293b9f96c928949ac4a53ba3f525dffb87f9c", size = 66582, upload_time = "2025-08-10T21:27:18.436Z" }, - { url = "https://files.pythonhosted.org/packages/ec/79/60e53067903d3bc5469b369fe0dfc6b3482e2133e85dae9daa9527535991/kiwisolver-1.4.9-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:d976bbb382b202f71c67f77b0ac11244021cfa3f7dfd9e562eefcea2df711548", size = 126514, upload_time = "2025-08-10T21:27:19.465Z" }, - { url = "https://files.pythonhosted.org/packages/25/d1/4843d3e8d46b072c12a38c97c57fab4608d36e13fe47d47ee96b4d61ba6f/kiwisolver-1.4.9-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2489e4e5d7ef9a1c300a5e0196e43d9c739f066ef23270607d45aba368b91f2d", size = 67905, upload_time = "2025-08-10T21:27:20.51Z" }, - { url = "https://files.pythonhosted.org/packages/8c/ae/29ffcbd239aea8b93108de1278271ae764dfc0d803a5693914975f200596/kiwisolver-1.4.9-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:e2ea9f7ab7fbf18fffb1b5434ce7c69a07582f7acc7717720f1d69f3e806f90c", size = 66399, upload_time = "2025-08-10T21:27:21.496Z" }, - { url = "https://files.pythonhosted.org/packages/a1/ae/d7ba902aa604152c2ceba5d352d7b62106bedbccc8e95c3934d94472bfa3/kiwisolver-1.4.9-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b34e51affded8faee0dfdb705416153819d8ea9250bbbf7ea1b249bdeb5f1122", size = 1582197, upload_time = "2025-08-10T21:27:22.604Z" }, - { url = "https://files.pythonhosted.org/packages/f2/41/27c70d427eddb8bc7e4f16420a20fefc6f480312122a59a959fdfe0445ad/kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8aacd3d4b33b772542b2e01beb50187536967b514b00003bdda7589722d2a64", size = 1390125, upload_time = "2025-08-10T21:27:24.036Z" }, - { url = "https://files.pythonhosted.org/packages/41/42/b3799a12bafc76d962ad69083f8b43b12bf4fe78b097b12e105d75c9b8f1/kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:7cf974dd4e35fa315563ac99d6287a1024e4dc2077b8a7d7cd3d2fb65d283134", size = 1402612, upload_time = "2025-08-10T21:27:25.773Z" }, - { url = "https://files.pythonhosted.org/packages/d2/b5/a210ea073ea1cfaca1bb5c55a62307d8252f531beb364e18aa1e0888b5a0/kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:85bd218b5ecfbee8c8a82e121802dcb519a86044c9c3b2e4aef02fa05c6da370", size = 1453990, upload_time = "2025-08-10T21:27:27.089Z" }, - { url = "https://files.pythonhosted.org/packages/5f/ce/a829eb8c033e977d7ea03ed32fb3c1781b4fa0433fbadfff29e39c676f32/kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:0856e241c2d3df4efef7c04a1e46b1936b6120c9bcf36dd216e3acd84bc4fb21", size = 2331601, upload_time = "2025-08-10T21:27:29.343Z" }, - { url = "https://files.pythonhosted.org/packages/e0/4b/b5e97eb142eb9cd0072dacfcdcd31b1c66dc7352b0f7c7255d339c0edf00/kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:9af39d6551f97d31a4deebeac6f45b156f9755ddc59c07b402c148f5dbb6482a", size = 2422041, upload_time = "2025-08-10T21:27:30.754Z" }, - { url = "https://files.pythonhosted.org/packages/40/be/8eb4cd53e1b85ba4edc3a9321666f12b83113a178845593307a3e7891f44/kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:bb4ae2b57fc1d8cbd1cf7b1d9913803681ffa903e7488012be5b76dedf49297f", size = 2594897, upload_time = "2025-08-10T21:27:32.803Z" }, - { url = "https://files.pythonhosted.org/packages/99/dd/841e9a66c4715477ea0abc78da039832fbb09dac5c35c58dc4c41a407b8a/kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:aedff62918805fb62d43a4aa2ecd4482c380dc76cd31bd7c8878588a61bd0369", size = 2391835, upload_time = "2025-08-10T21:27:34.23Z" }, - { url = "https://files.pythonhosted.org/packages/0c/28/4b2e5c47a0da96896fdfdb006340ade064afa1e63675d01ea5ac222b6d52/kiwisolver-1.4.9-cp314-cp314t-win_amd64.whl", hash = "sha256:1fa333e8b2ce4d9660f2cda9c0e1b6bafcfb2457a9d259faa82289e73ec24891", size = 79988, upload_time = "2025-08-10T21:27:35.587Z" }, - { url = "https://files.pythonhosted.org/packages/80/be/3578e8afd18c88cdf9cb4cffde75a96d2be38c5a903f1ed0ceec061bd09e/kiwisolver-1.4.9-cp314-cp314t-win_arm64.whl", hash = "sha256:4a48a2ce79d65d363597ef7b567ce3d14d68783d2b2263d98db3d9477805ba32", size = 70260, upload_time = "2025-08-10T21:27:36.606Z" }, +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/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/31/c1/c2686cda909742ab66c7388e9a1a8521a59eb89f8bcfbee28fc980d07e24/kiwisolver-1.4.9-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a5d0432ccf1c7ab14f9949eec60c5d1f924f17c037e9f8b33352fa05799359b8", size = 123681, upload-time = "2025-08-10T21:26:26.725Z" }, + { url = "https://files.pythonhosted.org/packages/ca/f0/f44f50c9f5b1a1860261092e3bc91ecdc9acda848a8b8c6abfda4a24dd5c/kiwisolver-1.4.9-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efb3a45b35622bb6c16dbfab491a8f5a391fe0e9d45ef32f4df85658232ca0e2", size = 66464, upload-time = "2025-08-10T21:26:27.733Z" }, + { url = "https://files.pythonhosted.org/packages/2d/7a/9d90a151f558e29c3936b8a47ac770235f436f2120aca41a6d5f3d62ae8d/kiwisolver-1.4.9-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1a12cf6398e8a0a001a059747a1cbf24705e18fe413bc22de7b3d15c67cffe3f", size = 64961, upload-time = "2025-08-10T21:26:28.729Z" }, + { url = "https://files.pythonhosted.org/packages/e9/e9/f218a2cb3a9ffbe324ca29a9e399fa2d2866d7f348ec3a88df87fc248fc5/kiwisolver-1.4.9-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b67e6efbf68e077dd71d1a6b37e43e1a99d0bff1a3d51867d45ee8908b931098", size = 1474607, upload-time = "2025-08-10T21:26:29.798Z" }, + { url = "https://files.pythonhosted.org/packages/d9/28/aac26d4c882f14de59041636292bc838db8961373825df23b8eeb807e198/kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5656aa670507437af0207645273ccdfee4f14bacd7f7c67a4306d0dcaeaf6eed", size = 1276546, upload-time = "2025-08-10T21:26:31.401Z" }, + { url = "https://files.pythonhosted.org/packages/8b/ad/8bfc1c93d4cc565e5069162f610ba2f48ff39b7de4b5b8d93f69f30c4bed/kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:bfc08add558155345129c7803b3671cf195e6a56e7a12f3dde7c57d9b417f525", size = 1294482, upload-time = "2025-08-10T21:26:32.721Z" }, + { url = "https://files.pythonhosted.org/packages/da/f1/6aca55ff798901d8ce403206d00e033191f63d82dd708a186e0ed2067e9c/kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:40092754720b174e6ccf9e845d0d8c7d8e12c3d71e7fc35f55f3813e96376f78", size = 1343720, upload-time = "2025-08-10T21:26:34.032Z" }, + { url = "https://files.pythonhosted.org/packages/d1/91/eed031876c595c81d90d0f6fc681ece250e14bf6998c3d7c419466b523b7/kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:497d05f29a1300d14e02e6441cf0f5ee81c1ff5a304b0d9fb77423974684e08b", size = 2224907, upload-time = "2025-08-10T21:26:35.824Z" }, + { url = "https://files.pythonhosted.org/packages/e9/ec/4d1925f2e49617b9cca9c34bfa11adefad49d00db038e692a559454dfb2e/kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:bdd1a81a1860476eb41ac4bc1e07b3f07259e6d55bbf739b79c8aaedcf512799", size = 2321334, upload-time = "2025-08-10T21:26:37.534Z" }, + { url = "https://files.pythonhosted.org/packages/43/cb/450cd4499356f68802750c6ddc18647b8ea01ffa28f50d20598e0befe6e9/kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:e6b93f13371d341afee3be9f7c5964e3fe61d5fa30f6a30eb49856935dfe4fc3", size = 2488313, upload-time = "2025-08-10T21:26:39.191Z" }, + { url = "https://files.pythonhosted.org/packages/71/67/fc76242bd99f885651128a5d4fa6083e5524694b7c88b489b1b55fdc491d/kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:d75aa530ccfaa593da12834b86a0724f58bff12706659baa9227c2ccaa06264c", size = 2291970, upload-time = "2025-08-10T21:26:40.828Z" }, + { url = "https://files.pythonhosted.org/packages/75/bd/f1a5d894000941739f2ae1b65a32892349423ad49c2e6d0771d0bad3fae4/kiwisolver-1.4.9-cp313-cp313-win_amd64.whl", hash = "sha256:dd0a578400839256df88c16abddf9ba14813ec5f21362e1fe65022e00c883d4d", size = 73894, upload-time = "2025-08-10T21:26:42.33Z" }, + { url = "https://files.pythonhosted.org/packages/95/38/dce480814d25b99a391abbddadc78f7c117c6da34be68ca8b02d5848b424/kiwisolver-1.4.9-cp313-cp313-win_arm64.whl", hash = "sha256:d4188e73af84ca82468f09cadc5ac4db578109e52acb4518d8154698d3a87ca2", size = 64995, upload-time = "2025-08-10T21:26:43.889Z" }, + { url = "https://files.pythonhosted.org/packages/e2/37/7d218ce5d92dadc5ebdd9070d903e0c7cf7edfe03f179433ac4d13ce659c/kiwisolver-1.4.9-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:5a0f2724dfd4e3b3ac5a82436a8e6fd16baa7d507117e4279b660fe8ca38a3a1", size = 126510, upload-time = "2025-08-10T21:26:44.915Z" }, + { url = "https://files.pythonhosted.org/packages/23/b0/e85a2b48233daef4b648fb657ebbb6f8367696a2d9548a00b4ee0eb67803/kiwisolver-1.4.9-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:1b11d6a633e4ed84fc0ddafd4ebfd8ea49b3f25082c04ad12b8315c11d504dc1", size = 67903, upload-time = "2025-08-10T21:26:45.934Z" }, + { url = "https://files.pythonhosted.org/packages/44/98/f2425bc0113ad7de24da6bb4dae1343476e95e1d738be7c04d31a5d037fd/kiwisolver-1.4.9-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:61874cdb0a36016354853593cffc38e56fc9ca5aa97d2c05d3dcf6922cd55a11", size = 66402, upload-time = "2025-08-10T21:26:47.101Z" }, + { url = "https://files.pythonhosted.org/packages/98/d8/594657886df9f34c4177cc353cc28ca7e6e5eb562d37ccc233bff43bbe2a/kiwisolver-1.4.9-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:60c439763a969a6af93b4881db0eed8fadf93ee98e18cbc35bc8da868d0c4f0c", size = 1582135, upload-time = "2025-08-10T21:26:48.665Z" }, + { url = "https://files.pythonhosted.org/packages/5c/c6/38a115b7170f8b306fc929e166340c24958347308ea3012c2b44e7e295db/kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92a2f997387a1b79a75e7803aa7ded2cfbe2823852ccf1ba3bcf613b62ae3197", size = 1389409, upload-time = "2025-08-10T21:26:50.335Z" }, + { url = "https://files.pythonhosted.org/packages/bf/3b/e04883dace81f24a568bcee6eb3001da4ba05114afa622ec9b6fafdc1f5e/kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a31d512c812daea6d8b3be3b2bfcbeb091dbb09177706569bcfc6240dcf8b41c", size = 1401763, upload-time = "2025-08-10T21:26:51.867Z" }, + { url = "https://files.pythonhosted.org/packages/9f/80/20ace48e33408947af49d7d15c341eaee69e4e0304aab4b7660e234d6288/kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:52a15b0f35dad39862d376df10c5230155243a2c1a436e39eb55623ccbd68185", size = 1453643, upload-time = "2025-08-10T21:26:53.592Z" }, + { url = "https://files.pythonhosted.org/packages/64/31/6ce4380a4cd1f515bdda976a1e90e547ccd47b67a1546d63884463c92ca9/kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a30fd6fdef1430fd9e1ba7b3398b5ee4e2887783917a687d86ba69985fb08748", size = 2330818, upload-time = "2025-08-10T21:26:55.051Z" }, + { url = "https://files.pythonhosted.org/packages/fa/e9/3f3fcba3bcc7432c795b82646306e822f3fd74df0ee81f0fa067a1f95668/kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:cc9617b46837c6468197b5945e196ee9ca43057bb7d9d1ae688101e4e1dddf64", size = 2419963, upload-time = "2025-08-10T21:26:56.421Z" }, + { url = "https://files.pythonhosted.org/packages/99/43/7320c50e4133575c66e9f7dadead35ab22d7c012a3b09bb35647792b2a6d/kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:0ab74e19f6a2b027ea4f845a78827969af45ce790e6cb3e1ebab71bdf9f215ff", size = 2594639, upload-time = "2025-08-10T21:26:57.882Z" }, + { url = "https://files.pythonhosted.org/packages/65/d6/17ae4a270d4a987ef8a385b906d2bdfc9fce502d6dc0d3aea865b47f548c/kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:dba5ee5d3981160c28d5490f0d1b7ed730c22470ff7f6cc26cfcfaacb9896a07", size = 2391741, upload-time = "2025-08-10T21:26:59.237Z" }, + { url = "https://files.pythonhosted.org/packages/2a/8f/8f6f491d595a9e5912971f3f863d81baddccc8a4d0c3749d6a0dd9ffc9df/kiwisolver-1.4.9-cp313-cp313t-win_arm64.whl", hash = "sha256:0749fd8f4218ad2e851e11cc4dc05c7cbc0cbc4267bdfdb31782e65aace4ee9c", size = 68646, upload-time = "2025-08-10T21:27:00.52Z" }, + { url = "https://files.pythonhosted.org/packages/6b/32/6cc0fbc9c54d06c2969faa9c1d29f5751a2e51809dd55c69055e62d9b426/kiwisolver-1.4.9-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:9928fe1eb816d11ae170885a74d074f57af3a0d65777ca47e9aeb854a1fba386", size = 123806, upload-time = "2025-08-10T21:27:01.537Z" }, + { url = "https://files.pythonhosted.org/packages/b2/dd/2bfb1d4a4823d92e8cbb420fe024b8d2167f72079b3bb941207c42570bdf/kiwisolver-1.4.9-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:d0005b053977e7b43388ddec89fa567f43d4f6d5c2c0affe57de5ebf290dc552", size = 66605, upload-time = "2025-08-10T21:27:03.335Z" }, + { url = "https://files.pythonhosted.org/packages/f7/69/00aafdb4e4509c2ca6064646cba9cd4b37933898f426756adb2cb92ebbed/kiwisolver-1.4.9-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:2635d352d67458b66fd0667c14cb1d4145e9560d503219034a18a87e971ce4f3", size = 64925, upload-time = "2025-08-10T21:27:04.339Z" }, + { url = "https://files.pythonhosted.org/packages/43/dc/51acc6791aa14e5cb6d8a2e28cefb0dc2886d8862795449d021334c0df20/kiwisolver-1.4.9-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:767c23ad1c58c9e827b649a9ab7809fd5fd9db266a9cf02b0e926ddc2c680d58", size = 1472414, upload-time = "2025-08-10T21:27:05.437Z" }, + { url = "https://files.pythonhosted.org/packages/3d/bb/93fa64a81db304ac8a246f834d5094fae4b13baf53c839d6bb6e81177129/kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:72d0eb9fba308b8311685c2268cf7d0a0639a6cd027d8128659f72bdd8a024b4", size = 1281272, upload-time = "2025-08-10T21:27:07.063Z" }, + { url = "https://files.pythonhosted.org/packages/70/e6/6df102916960fb8d05069d4bd92d6d9a8202d5a3e2444494e7cd50f65b7a/kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f68e4f3eeca8fb22cc3d731f9715a13b652795ef657a13df1ad0c7dc0e9731df", size = 1298578, upload-time = "2025-08-10T21:27:08.452Z" }, + { url = "https://files.pythonhosted.org/packages/7c/47/e142aaa612f5343736b087864dbaebc53ea8831453fb47e7521fa8658f30/kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d84cd4061ae292d8ac367b2c3fa3aad11cb8625a95d135fe93f286f914f3f5a6", size = 1345607, upload-time = "2025-08-10T21:27:10.125Z" }, + { url = "https://files.pythonhosted.org/packages/54/89/d641a746194a0f4d1a3670fb900d0dbaa786fb98341056814bc3f058fa52/kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:a60ea74330b91bd22a29638940d115df9dc00af5035a9a2a6ad9399ffb4ceca5", size = 2230150, upload-time = "2025-08-10T21:27:11.484Z" }, + { url = "https://files.pythonhosted.org/packages/aa/6b/5ee1207198febdf16ac11f78c5ae40861b809cbe0e6d2a8d5b0b3044b199/kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:ce6a3a4e106cf35c2d9c4fa17c05ce0b180db622736845d4315519397a77beaf", size = 2325979, upload-time = "2025-08-10T21:27:12.917Z" }, + { url = "https://files.pythonhosted.org/packages/fc/ff/b269eefd90f4ae14dcc74973d5a0f6d28d3b9bb1afd8c0340513afe6b39a/kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:77937e5e2a38a7b48eef0585114fe7930346993a88060d0bf886086d2aa49ef5", size = 2491456, upload-time = "2025-08-10T21:27:14.353Z" }, + { url = "https://files.pythonhosted.org/packages/fc/d4/10303190bd4d30de547534601e259a4fbf014eed94aae3e5521129215086/kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:24c175051354f4a28c5d6a31c93906dc653e2bf234e8a4bbfb964892078898ce", size = 2294621, upload-time = "2025-08-10T21:27:15.808Z" }, + { url = "https://files.pythonhosted.org/packages/28/e0/a9a90416fce5c0be25742729c2ea52105d62eda6c4be4d803c2a7be1fa50/kiwisolver-1.4.9-cp314-cp314-win_amd64.whl", hash = "sha256:0763515d4df10edf6d06a3c19734e2566368980d21ebec439f33f9eb936c07b7", size = 75417, upload-time = "2025-08-10T21:27:17.436Z" }, + { url = "https://files.pythonhosted.org/packages/1f/10/6949958215b7a9a264299a7db195564e87900f709db9245e4ebdd3c70779/kiwisolver-1.4.9-cp314-cp314-win_arm64.whl", hash = "sha256:0e4e2bf29574a6a7b7f6cb5fa69293b9f96c928949ac4a53ba3f525dffb87f9c", size = 66582, upload-time = "2025-08-10T21:27:18.436Z" }, + { url = "https://files.pythonhosted.org/packages/ec/79/60e53067903d3bc5469b369fe0dfc6b3482e2133e85dae9daa9527535991/kiwisolver-1.4.9-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:d976bbb382b202f71c67f77b0ac11244021cfa3f7dfd9e562eefcea2df711548", size = 126514, upload-time = "2025-08-10T21:27:19.465Z" }, + { url = "https://files.pythonhosted.org/packages/25/d1/4843d3e8d46b072c12a38c97c57fab4608d36e13fe47d47ee96b4d61ba6f/kiwisolver-1.4.9-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2489e4e5d7ef9a1c300a5e0196e43d9c739f066ef23270607d45aba368b91f2d", size = 67905, upload-time = "2025-08-10T21:27:20.51Z" }, + { url = "https://files.pythonhosted.org/packages/8c/ae/29ffcbd239aea8b93108de1278271ae764dfc0d803a5693914975f200596/kiwisolver-1.4.9-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:e2ea9f7ab7fbf18fffb1b5434ce7c69a07582f7acc7717720f1d69f3e806f90c", size = 66399, upload-time = "2025-08-10T21:27:21.496Z" }, + { url = "https://files.pythonhosted.org/packages/a1/ae/d7ba902aa604152c2ceba5d352d7b62106bedbccc8e95c3934d94472bfa3/kiwisolver-1.4.9-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b34e51affded8faee0dfdb705416153819d8ea9250bbbf7ea1b249bdeb5f1122", size = 1582197, upload-time = "2025-08-10T21:27:22.604Z" }, + { url = "https://files.pythonhosted.org/packages/f2/41/27c70d427eddb8bc7e4f16420a20fefc6f480312122a59a959fdfe0445ad/kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8aacd3d4b33b772542b2e01beb50187536967b514b00003bdda7589722d2a64", size = 1390125, upload-time = "2025-08-10T21:27:24.036Z" }, + { url = "https://files.pythonhosted.org/packages/41/42/b3799a12bafc76d962ad69083f8b43b12bf4fe78b097b12e105d75c9b8f1/kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:7cf974dd4e35fa315563ac99d6287a1024e4dc2077b8a7d7cd3d2fb65d283134", size = 1402612, upload-time = "2025-08-10T21:27:25.773Z" }, + { url = "https://files.pythonhosted.org/packages/d2/b5/a210ea073ea1cfaca1bb5c55a62307d8252f531beb364e18aa1e0888b5a0/kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:85bd218b5ecfbee8c8a82e121802dcb519a86044c9c3b2e4aef02fa05c6da370", size = 1453990, upload-time = "2025-08-10T21:27:27.089Z" }, + { url = "https://files.pythonhosted.org/packages/5f/ce/a829eb8c033e977d7ea03ed32fb3c1781b4fa0433fbadfff29e39c676f32/kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:0856e241c2d3df4efef7c04a1e46b1936b6120c9bcf36dd216e3acd84bc4fb21", size = 2331601, upload-time = "2025-08-10T21:27:29.343Z" }, + { url = "https://files.pythonhosted.org/packages/e0/4b/b5e97eb142eb9cd0072dacfcdcd31b1c66dc7352b0f7c7255d339c0edf00/kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:9af39d6551f97d31a4deebeac6f45b156f9755ddc59c07b402c148f5dbb6482a", size = 2422041, upload-time = "2025-08-10T21:27:30.754Z" }, + { url = "https://files.pythonhosted.org/packages/40/be/8eb4cd53e1b85ba4edc3a9321666f12b83113a178845593307a3e7891f44/kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:bb4ae2b57fc1d8cbd1cf7b1d9913803681ffa903e7488012be5b76dedf49297f", size = 2594897, upload-time = "2025-08-10T21:27:32.803Z" }, + { url = "https://files.pythonhosted.org/packages/99/dd/841e9a66c4715477ea0abc78da039832fbb09dac5c35c58dc4c41a407b8a/kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:aedff62918805fb62d43a4aa2ecd4482c380dc76cd31bd7c8878588a61bd0369", size = 2391835, upload-time = "2025-08-10T21:27:34.23Z" }, + { url = "https://files.pythonhosted.org/packages/0c/28/4b2e5c47a0da96896fdfdb006340ade064afa1e63675d01ea5ac222b6d52/kiwisolver-1.4.9-cp314-cp314t-win_amd64.whl", hash = "sha256:1fa333e8b2ce4d9660f2cda9c0e1b6bafcfb2457a9d259faa82289e73ec24891", size = 79988, upload-time = "2025-08-10T21:27:35.587Z" }, + { url = "https://files.pythonhosted.org/packages/80/be/3578e8afd18c88cdf9cb4cffde75a96d2be38c5a903f1ed0ceec061bd09e/kiwisolver-1.4.9-cp314-cp314t-win_arm64.whl", hash = "sha256:4a48a2ce79d65d363597ef7b567ce3d14d68783d2b2263d98db3d9477805ba32", size = 70260, upload-time = "2025-08-10T21:27:36.606Z" }, ] [[package]] name = "lark" version = "1.3.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/da/34/28fff3ab31ccff1fd4f6c7c7b0ceb2b6968d8ea4950663eadcb5720591a0/lark-1.3.1.tar.gz", hash = "sha256:b426a7a6d6d53189d318f2b6236ab5d6429eaf09259f1ca33eb716eed10d2905", size = 382732, upload_time = "2025-10-27T18:25:56.653Z" } +sdist = { url = "https://files.pythonhosted.org/packages/da/34/28fff3ab31ccff1fd4f6c7c7b0ceb2b6968d8ea4950663eadcb5720591a0/lark-1.3.1.tar.gz", hash = "sha256:b426a7a6d6d53189d318f2b6236ab5d6429eaf09259f1ca33eb716eed10d2905", size = 382732, upload-time = "2025-10-27T18:25:56.653Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/82/3d/14ce75ef66813643812f3093ab17e46d3a206942ce7376d31ec2d36229e7/lark-1.3.1-py3-none-any.whl", hash = "sha256:c629b661023a014c37da873b4ff58a817398d12635d3bbb2c5a03be7fe5d1e12", size = 113151, upload-time = "2025-10-27T18:25:54.882Z" }, +] + +[[package]] +name = "lmfit" +version = "1.3.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "asteval" }, + { name = "dill" }, + { name = "numpy" }, + { name = "scipy" }, + { name = "uncertainties" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/5a/e5/a35942aed2de95e228728c34609b51fe3ec9182398eac50d288eef313aa2/lmfit-1.3.4.tar.gz", hash = "sha256:3c22c28c43f717f6c5b4a3bd81e893a2149739c26a592c046f2e33c23cfbe497", size = 630720, upload-time = "2025-07-19T20:09:01.876Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/82/3d/14ce75ef66813643812f3093ab17e46d3a206942ce7376d31ec2d36229e7/lark-1.3.1-py3-none-any.whl", hash = "sha256:c629b661023a014c37da873b4ff58a817398d12635d3bbb2c5a03be7fe5d1e12", size = 113151, upload_time = "2025-10-27T18:25:54.882Z" }, + { url = "https://files.pythonhosted.org/packages/38/7e/7b91c89a4cf0f543a83be978657afb20c86af6d725253e319589dcc4ce52/lmfit-1.3.4-py3-none-any.whl", hash = "sha256:afce1593b42324d37ae2908249b0c55445e2f4c1a0474ff706a8e2f7b5d949fa", size = 97662, upload-time = "2025-07-19T20:09:00.32Z" }, ] [[package]] name = "markupsafe" version = "3.0.3" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/7e/99/7690b6d4034fffd95959cbe0c02de8deb3098cc577c67bb6a24fe5d7caa7/markupsafe-3.0.3.tar.gz", hash = "sha256:722695808f4b6457b320fdc131280796bdceb04ab50fe1795cd540799ebe1698", size = 80313, upload_time = "2025-09-27T18:37:40.426Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/5a/72/147da192e38635ada20e0a2e1a51cf8823d2119ce8883f7053879c2199b5/markupsafe-3.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d53197da72cc091b024dd97249dfc7794d6a56530370992a5e1a08983ad9230e", size = 11615, upload_time = "2025-09-27T18:36:30.854Z" }, - { url = "https://files.pythonhosted.org/packages/9a/81/7e4e08678a1f98521201c3079f77db69fb552acd56067661f8c2f534a718/markupsafe-3.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1872df69a4de6aead3491198eaf13810b565bdbeec3ae2dc8780f14458ec73ce", size = 12020, upload_time = "2025-09-27T18:36:31.971Z" }, - { url = "https://files.pythonhosted.org/packages/1e/2c/799f4742efc39633a1b54a92eec4082e4f815314869865d876824c257c1e/markupsafe-3.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a7e8ae81ae39e62a41ec302f972ba6ae23a5c5396c8e60113e9066ef893da0d", size = 24332, upload_time = "2025-09-27T18:36:32.813Z" }, - { url = "https://files.pythonhosted.org/packages/3c/2e/8d0c2ab90a8c1d9a24f0399058ab8519a3279d1bd4289511d74e909f060e/markupsafe-3.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d6dd0be5b5b189d31db7cda48b91d7e0a9795f31430b7f271219ab30f1d3ac9d", size = 22947, upload_time = "2025-09-27T18:36:33.86Z" }, - { url = "https://files.pythonhosted.org/packages/2c/54/887f3092a85238093a0b2154bd629c89444f395618842e8b0c41783898ea/markupsafe-3.0.3-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:94c6f0bb423f739146aec64595853541634bde58b2135f27f61c1ffd1cd4d16a", size = 21962, upload_time = "2025-09-27T18:36:35.099Z" }, - { url = "https://files.pythonhosted.org/packages/c9/2f/336b8c7b6f4a4d95e91119dc8521402461b74a485558d8f238a68312f11c/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:be8813b57049a7dc738189df53d69395eba14fb99345e0a5994914a3864c8a4b", size = 23760, upload_time = "2025-09-27T18:36:36.001Z" }, - { url = "https://files.pythonhosted.org/packages/32/43/67935f2b7e4982ffb50a4d169b724d74b62a3964bc1a9a527f5ac4f1ee2b/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:83891d0e9fb81a825d9a6d61e3f07550ca70a076484292a70fde82c4b807286f", size = 21529, upload_time = "2025-09-27T18:36:36.906Z" }, - { url = "https://files.pythonhosted.org/packages/89/e0/4486f11e51bbba8b0c041098859e869e304d1c261e59244baa3d295d47b7/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:77f0643abe7495da77fb436f50f8dab76dbc6e5fd25d39589a0f1fe6548bfa2b", size = 23015, upload_time = "2025-09-27T18:36:37.868Z" }, - { url = "https://files.pythonhosted.org/packages/2f/e1/78ee7a023dac597a5825441ebd17170785a9dab23de95d2c7508ade94e0e/markupsafe-3.0.3-cp312-cp312-win32.whl", hash = "sha256:d88b440e37a16e651bda4c7c2b930eb586fd15ca7406cb39e211fcff3bf3017d", size = 14540, upload_time = "2025-09-27T18:36:38.761Z" }, - { url = "https://files.pythonhosted.org/packages/aa/5b/bec5aa9bbbb2c946ca2733ef9c4ca91c91b6a24580193e891b5f7dbe8e1e/markupsafe-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:26a5784ded40c9e318cfc2bdb30fe164bdb8665ded9cd64d500a34fb42067b1c", size = 15105, upload_time = "2025-09-27T18:36:39.701Z" }, - { url = "https://files.pythonhosted.org/packages/e5/f1/216fc1bbfd74011693a4fd837e7026152e89c4bcf3e77b6692fba9923123/markupsafe-3.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:35add3b638a5d900e807944a078b51922212fb3dedb01633a8defc4b01a3c85f", size = 13906, upload_time = "2025-09-27T18:36:40.689Z" }, - { url = "https://files.pythonhosted.org/packages/38/2f/907b9c7bbba283e68f20259574b13d005c121a0fa4c175f9bed27c4597ff/markupsafe-3.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e1cf1972137e83c5d4c136c43ced9ac51d0e124706ee1c8aa8532c1287fa8795", size = 11622, upload_time = "2025-09-27T18:36:41.777Z" }, - { url = "https://files.pythonhosted.org/packages/9c/d9/5f7756922cdd676869eca1c4e3c0cd0df60ed30199ffd775e319089cb3ed/markupsafe-3.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:116bb52f642a37c115f517494ea5feb03889e04df47eeff5b130b1808ce7c219", size = 12029, upload_time = "2025-09-27T18:36:43.257Z" }, - { url = "https://files.pythonhosted.org/packages/00/07/575a68c754943058c78f30db02ee03a64b3c638586fba6a6dd56830b30a3/markupsafe-3.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:133a43e73a802c5562be9bbcd03d090aa5a1fe899db609c29e8c8d815c5f6de6", size = 24374, upload_time = "2025-09-27T18:36:44.508Z" }, - { url = "https://files.pythonhosted.org/packages/a9/21/9b05698b46f218fc0e118e1f8168395c65c8a2c750ae2bab54fc4bd4e0e8/markupsafe-3.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ccfcd093f13f0f0b7fdd0f198b90053bf7b2f02a3927a30e63f3ccc9df56b676", size = 22980, upload_time = "2025-09-27T18:36:45.385Z" }, - { url = "https://files.pythonhosted.org/packages/7f/71/544260864f893f18b6827315b988c146b559391e6e7e8f7252839b1b846a/markupsafe-3.0.3-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:509fa21c6deb7a7a273d629cf5ec029bc209d1a51178615ddf718f5918992ab9", size = 21990, upload_time = "2025-09-27T18:36:46.916Z" }, - { url = "https://files.pythonhosted.org/packages/c2/28/b50fc2f74d1ad761af2f5dcce7492648b983d00a65b8c0e0cb457c82ebbe/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a4afe79fb3de0b7097d81da19090f4df4f8d3a2b3adaa8764138aac2e44f3af1", size = 23784, upload_time = "2025-09-27T18:36:47.884Z" }, - { url = "https://files.pythonhosted.org/packages/ed/76/104b2aa106a208da8b17a2fb72e033a5a9d7073c68f7e508b94916ed47a9/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:795e7751525cae078558e679d646ae45574b47ed6e7771863fcc079a6171a0fc", size = 21588, upload_time = "2025-09-27T18:36:48.82Z" }, - { url = "https://files.pythonhosted.org/packages/b5/99/16a5eb2d140087ebd97180d95249b00a03aa87e29cc224056274f2e45fd6/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8485f406a96febb5140bfeca44a73e3ce5116b2501ac54fe953e488fb1d03b12", size = 23041, upload_time = "2025-09-27T18:36:49.797Z" }, - { url = "https://files.pythonhosted.org/packages/19/bc/e7140ed90c5d61d77cea142eed9f9c303f4c4806f60a1044c13e3f1471d0/markupsafe-3.0.3-cp313-cp313-win32.whl", hash = "sha256:bdd37121970bfd8be76c5fb069c7751683bdf373db1ed6c010162b2a130248ed", size = 14543, upload_time = "2025-09-27T18:36:51.584Z" }, - { url = "https://files.pythonhosted.org/packages/05/73/c4abe620b841b6b791f2edc248f556900667a5a1cf023a6646967ae98335/markupsafe-3.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:9a1abfdc021a164803f4d485104931fb8f8c1efd55bc6b748d2f5774e78b62c5", size = 15113, upload_time = "2025-09-27T18:36:52.537Z" }, - { url = "https://files.pythonhosted.org/packages/f0/3a/fa34a0f7cfef23cf9500d68cb7c32dd64ffd58a12b09225fb03dd37d5b80/markupsafe-3.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:7e68f88e5b8799aa49c85cd116c932a1ac15caaa3f5db09087854d218359e485", size = 13911, upload_time = "2025-09-27T18:36:53.513Z" }, - { url = "https://files.pythonhosted.org/packages/e4/d7/e05cd7efe43a88a17a37b3ae96e79a19e846f3f456fe79c57ca61356ef01/markupsafe-3.0.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:218551f6df4868a8d527e3062d0fb968682fe92054e89978594c28e642c43a73", size = 11658, upload_time = "2025-09-27T18:36:54.819Z" }, - { url = "https://files.pythonhosted.org/packages/99/9e/e412117548182ce2148bdeacdda3bb494260c0b0184360fe0d56389b523b/markupsafe-3.0.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3524b778fe5cfb3452a09d31e7b5adefeea8c5be1d43c4f810ba09f2ceb29d37", size = 12066, upload_time = "2025-09-27T18:36:55.714Z" }, - { url = "https://files.pythonhosted.org/packages/bc/e6/fa0ffcda717ef64a5108eaa7b4f5ed28d56122c9a6d70ab8b72f9f715c80/markupsafe-3.0.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4e885a3d1efa2eadc93c894a21770e4bc67899e3543680313b09f139e149ab19", size = 25639, upload_time = "2025-09-27T18:36:56.908Z" }, - { url = "https://files.pythonhosted.org/packages/96/ec/2102e881fe9d25fc16cb4b25d5f5cde50970967ffa5dddafdb771237062d/markupsafe-3.0.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8709b08f4a89aa7586de0aadc8da56180242ee0ada3999749b183aa23df95025", size = 23569, upload_time = "2025-09-27T18:36:57.913Z" }, - { url = "https://files.pythonhosted.org/packages/4b/30/6f2fce1f1f205fc9323255b216ca8a235b15860c34b6798f810f05828e32/markupsafe-3.0.3-cp313-cp313t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:b8512a91625c9b3da6f127803b166b629725e68af71f8184ae7e7d54686a56d6", size = 23284, upload_time = "2025-09-27T18:36:58.833Z" }, - { url = "https://files.pythonhosted.org/packages/58/47/4a0ccea4ab9f5dcb6f79c0236d954acb382202721e704223a8aafa38b5c8/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9b79b7a16f7fedff2495d684f2b59b0457c3b493778c9eed31111be64d58279f", size = 24801, upload_time = "2025-09-27T18:36:59.739Z" }, - { url = "https://files.pythonhosted.org/packages/6a/70/3780e9b72180b6fecb83a4814d84c3bf4b4ae4bf0b19c27196104149734c/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:12c63dfb4a98206f045aa9563db46507995f7ef6d83b2f68eda65c307c6829eb", size = 22769, upload_time = "2025-09-27T18:37:00.719Z" }, - { url = "https://files.pythonhosted.org/packages/98/c5/c03c7f4125180fc215220c035beac6b9cb684bc7a067c84fc69414d315f5/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8f71bc33915be5186016f675cd83a1e08523649b0e33efdb898db577ef5bb009", size = 23642, upload_time = "2025-09-27T18:37:01.673Z" }, - { url = "https://files.pythonhosted.org/packages/80/d6/2d1b89f6ca4bff1036499b1e29a1d02d282259f3681540e16563f27ebc23/markupsafe-3.0.3-cp313-cp313t-win32.whl", hash = "sha256:69c0b73548bc525c8cb9a251cddf1931d1db4d2258e9599c28c07ef3580ef354", size = 14612, upload_time = "2025-09-27T18:37:02.639Z" }, - { url = "https://files.pythonhosted.org/packages/2b/98/e48a4bfba0a0ffcf9925fe2d69240bfaa19c6f7507b8cd09c70684a53c1e/markupsafe-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:1b4b79e8ebf6b55351f0d91fe80f893b4743f104bff22e90697db1590e47a218", size = 15200, upload_time = "2025-09-27T18:37:03.582Z" }, - { url = "https://files.pythonhosted.org/packages/0e/72/e3cc540f351f316e9ed0f092757459afbc595824ca724cbc5a5d4263713f/markupsafe-3.0.3-cp313-cp313t-win_arm64.whl", hash = "sha256:ad2cf8aa28b8c020ab2fc8287b0f823d0a7d8630784c31e9ee5edea20f406287", size = 13973, upload_time = "2025-09-27T18:37:04.929Z" }, - { url = "https://files.pythonhosted.org/packages/33/8a/8e42d4838cd89b7dde187011e97fe6c3af66d8c044997d2183fbd6d31352/markupsafe-3.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:eaa9599de571d72e2daf60164784109f19978b327a3910d3e9de8c97b5b70cfe", size = 11619, upload_time = "2025-09-27T18:37:06.342Z" }, - { url = "https://files.pythonhosted.org/packages/b5/64/7660f8a4a8e53c924d0fa05dc3a55c9cee10bbd82b11c5afb27d44b096ce/markupsafe-3.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c47a551199eb8eb2121d4f0f15ae0f923d31350ab9280078d1e5f12b249e0026", size = 12029, upload_time = "2025-09-27T18:37:07.213Z" }, - { url = "https://files.pythonhosted.org/packages/da/ef/e648bfd021127bef5fa12e1720ffed0c6cbb8310c8d9bea7266337ff06de/markupsafe-3.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f34c41761022dd093b4b6896d4810782ffbabe30f2d443ff5f083e0cbbb8c737", size = 24408, upload_time = "2025-09-27T18:37:09.572Z" }, - { url = "https://files.pythonhosted.org/packages/41/3c/a36c2450754618e62008bf7435ccb0f88053e07592e6028a34776213d877/markupsafe-3.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:457a69a9577064c05a97c41f4e65148652db078a3a509039e64d3467b9e7ef97", size = 23005, upload_time = "2025-09-27T18:37:10.58Z" }, - { url = "https://files.pythonhosted.org/packages/bc/20/b7fdf89a8456b099837cd1dc21974632a02a999ec9bf7ca3e490aacd98e7/markupsafe-3.0.3-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:e8afc3f2ccfa24215f8cb28dcf43f0113ac3c37c2f0f0806d8c70e4228c5cf4d", size = 22048, upload_time = "2025-09-27T18:37:11.547Z" }, - { url = "https://files.pythonhosted.org/packages/9a/a7/591f592afdc734f47db08a75793a55d7fbcc6902a723ae4cfbab61010cc5/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:ec15a59cf5af7be74194f7ab02d0f59a62bdcf1a537677ce67a2537c9b87fcda", size = 23821, upload_time = "2025-09-27T18:37:12.48Z" }, - { url = "https://files.pythonhosted.org/packages/7d/33/45b24e4f44195b26521bc6f1a82197118f74df348556594bd2262bda1038/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:0eb9ff8191e8498cca014656ae6b8d61f39da5f95b488805da4bb029cccbfbaf", size = 21606, upload_time = "2025-09-27T18:37:13.485Z" }, - { url = "https://files.pythonhosted.org/packages/ff/0e/53dfaca23a69fbfbbf17a4b64072090e70717344c52eaaaa9c5ddff1e5f0/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2713baf880df847f2bece4230d4d094280f4e67b1e813eec43b4c0e144a34ffe", size = 23043, upload_time = "2025-09-27T18:37:14.408Z" }, - { url = "https://files.pythonhosted.org/packages/46/11/f333a06fc16236d5238bfe74daccbca41459dcd8d1fa952e8fbd5dccfb70/markupsafe-3.0.3-cp314-cp314-win32.whl", hash = "sha256:729586769a26dbceff69f7a7dbbf59ab6572b99d94576a5592625d5b411576b9", size = 14747, upload_time = "2025-09-27T18:37:15.36Z" }, - { url = "https://files.pythonhosted.org/packages/28/52/182836104b33b444e400b14f797212f720cbc9ed6ba34c800639d154e821/markupsafe-3.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:bdc919ead48f234740ad807933cdf545180bfbe9342c2bb451556db2ed958581", size = 15341, upload_time = "2025-09-27T18:37:16.496Z" }, - { url = "https://files.pythonhosted.org/packages/6f/18/acf23e91bd94fd7b3031558b1f013adfa21a8e407a3fdb32745538730382/markupsafe-3.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:5a7d5dc5140555cf21a6fefbdbf8723f06fcd2f63ef108f2854de715e4422cb4", size = 14073, upload_time = "2025-09-27T18:37:17.476Z" }, - { url = "https://files.pythonhosted.org/packages/3c/f0/57689aa4076e1b43b15fdfa646b04653969d50cf30c32a102762be2485da/markupsafe-3.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:1353ef0c1b138e1907ae78e2f6c63ff67501122006b0f9abad68fda5f4ffc6ab", size = 11661, upload_time = "2025-09-27T18:37:18.453Z" }, - { url = "https://files.pythonhosted.org/packages/89/c3/2e67a7ca217c6912985ec766c6393b636fb0c2344443ff9d91404dc4c79f/markupsafe-3.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:1085e7fbddd3be5f89cc898938f42c0b3c711fdcb37d75221de2666af647c175", size = 12069, upload_time = "2025-09-27T18:37:19.332Z" }, - { url = "https://files.pythonhosted.org/packages/f0/00/be561dce4e6ca66b15276e184ce4b8aec61fe83662cce2f7d72bd3249d28/markupsafe-3.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1b52b4fb9df4eb9ae465f8d0c228a00624de2334f216f178a995ccdcf82c4634", size = 25670, upload_time = "2025-09-27T18:37:20.245Z" }, - { url = "https://files.pythonhosted.org/packages/50/09/c419f6f5a92e5fadde27efd190eca90f05e1261b10dbd8cbcb39cd8ea1dc/markupsafe-3.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fed51ac40f757d41b7c48425901843666a6677e3e8eb0abcff09e4ba6e664f50", size = 23598, upload_time = "2025-09-27T18:37:21.177Z" }, - { url = "https://files.pythonhosted.org/packages/22/44/a0681611106e0b2921b3033fc19bc53323e0b50bc70cffdd19f7d679bb66/markupsafe-3.0.3-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f190daf01f13c72eac4efd5c430a8de82489d9cff23c364c3ea822545032993e", size = 23261, upload_time = "2025-09-27T18:37:22.167Z" }, - { url = "https://files.pythonhosted.org/packages/5f/57/1b0b3f100259dc9fffe780cfb60d4be71375510e435efec3d116b6436d43/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:e56b7d45a839a697b5eb268c82a71bd8c7f6c94d6fd50c3d577fa39a9f1409f5", size = 24835, upload_time = "2025-09-27T18:37:23.296Z" }, - { url = "https://files.pythonhosted.org/packages/26/6a/4bf6d0c97c4920f1597cc14dd720705eca0bf7c787aebc6bb4d1bead5388/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:f3e98bb3798ead92273dc0e5fd0f31ade220f59a266ffd8a4f6065e0a3ce0523", size = 22733, upload_time = "2025-09-27T18:37:24.237Z" }, - { url = "https://files.pythonhosted.org/packages/14/c7/ca723101509b518797fedc2fdf79ba57f886b4aca8a7d31857ba3ee8281f/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:5678211cb9333a6468fb8d8be0305520aa073f50d17f089b5b4b477ea6e67fdc", size = 23672, upload_time = "2025-09-27T18:37:25.271Z" }, - { url = "https://files.pythonhosted.org/packages/fb/df/5bd7a48c256faecd1d36edc13133e51397e41b73bb77e1a69deab746ebac/markupsafe-3.0.3-cp314-cp314t-win32.whl", hash = "sha256:915c04ba3851909ce68ccc2b8e2cd691618c4dc4c4232fb7982bca3f41fd8c3d", size = 14819, upload_time = "2025-09-27T18:37:26.285Z" }, - { url = "https://files.pythonhosted.org/packages/1a/8a/0402ba61a2f16038b48b39bccca271134be00c5c9f0f623208399333c448/markupsafe-3.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4faffd047e07c38848ce017e8725090413cd80cbc23d86e55c587bf979e579c9", size = 15426, upload_time = "2025-09-27T18:37:27.316Z" }, - { url = "https://files.pythonhosted.org/packages/70/bc/6f1c2f612465f5fa89b95bead1f44dcb607670fd42891d8fdcd5d039f4f4/markupsafe-3.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:32001d6a8fc98c8cb5c947787c5d08b0a50663d139f1305bac5885d98d9b40fa", size = 14146, upload_time = "2025-09-27T18:37:28.327Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/7e/99/7690b6d4034fffd95959cbe0c02de8deb3098cc577c67bb6a24fe5d7caa7/markupsafe-3.0.3.tar.gz", hash = "sha256:722695808f4b6457b320fdc131280796bdceb04ab50fe1795cd540799ebe1698", size = 80313, upload-time = "2025-09-27T18:37:40.426Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5a/72/147da192e38635ada20e0a2e1a51cf8823d2119ce8883f7053879c2199b5/markupsafe-3.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d53197da72cc091b024dd97249dfc7794d6a56530370992a5e1a08983ad9230e", size = 11615, upload-time = "2025-09-27T18:36:30.854Z" }, + { url = "https://files.pythonhosted.org/packages/9a/81/7e4e08678a1f98521201c3079f77db69fb552acd56067661f8c2f534a718/markupsafe-3.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1872df69a4de6aead3491198eaf13810b565bdbeec3ae2dc8780f14458ec73ce", size = 12020, upload-time = "2025-09-27T18:36:31.971Z" }, + { url = "https://files.pythonhosted.org/packages/1e/2c/799f4742efc39633a1b54a92eec4082e4f815314869865d876824c257c1e/markupsafe-3.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a7e8ae81ae39e62a41ec302f972ba6ae23a5c5396c8e60113e9066ef893da0d", size = 24332, upload-time = "2025-09-27T18:36:32.813Z" }, + { url = "https://files.pythonhosted.org/packages/3c/2e/8d0c2ab90a8c1d9a24f0399058ab8519a3279d1bd4289511d74e909f060e/markupsafe-3.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d6dd0be5b5b189d31db7cda48b91d7e0a9795f31430b7f271219ab30f1d3ac9d", size = 22947, upload-time = "2025-09-27T18:36:33.86Z" }, + { url = "https://files.pythonhosted.org/packages/2c/54/887f3092a85238093a0b2154bd629c89444f395618842e8b0c41783898ea/markupsafe-3.0.3-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:94c6f0bb423f739146aec64595853541634bde58b2135f27f61c1ffd1cd4d16a", size = 21962, upload-time = "2025-09-27T18:36:35.099Z" }, + { url = "https://files.pythonhosted.org/packages/c9/2f/336b8c7b6f4a4d95e91119dc8521402461b74a485558d8f238a68312f11c/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:be8813b57049a7dc738189df53d69395eba14fb99345e0a5994914a3864c8a4b", size = 23760, upload-time = "2025-09-27T18:36:36.001Z" }, + { url = "https://files.pythonhosted.org/packages/32/43/67935f2b7e4982ffb50a4d169b724d74b62a3964bc1a9a527f5ac4f1ee2b/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:83891d0e9fb81a825d9a6d61e3f07550ca70a076484292a70fde82c4b807286f", size = 21529, upload-time = "2025-09-27T18:36:36.906Z" }, + { url = "https://files.pythonhosted.org/packages/89/e0/4486f11e51bbba8b0c041098859e869e304d1c261e59244baa3d295d47b7/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:77f0643abe7495da77fb436f50f8dab76dbc6e5fd25d39589a0f1fe6548bfa2b", size = 23015, upload-time = "2025-09-27T18:36:37.868Z" }, + { url = "https://files.pythonhosted.org/packages/2f/e1/78ee7a023dac597a5825441ebd17170785a9dab23de95d2c7508ade94e0e/markupsafe-3.0.3-cp312-cp312-win32.whl", hash = "sha256:d88b440e37a16e651bda4c7c2b930eb586fd15ca7406cb39e211fcff3bf3017d", size = 14540, upload-time = "2025-09-27T18:36:38.761Z" }, + { url = "https://files.pythonhosted.org/packages/aa/5b/bec5aa9bbbb2c946ca2733ef9c4ca91c91b6a24580193e891b5f7dbe8e1e/markupsafe-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:26a5784ded40c9e318cfc2bdb30fe164bdb8665ded9cd64d500a34fb42067b1c", size = 15105, upload-time = "2025-09-27T18:36:39.701Z" }, + { url = "https://files.pythonhosted.org/packages/e5/f1/216fc1bbfd74011693a4fd837e7026152e89c4bcf3e77b6692fba9923123/markupsafe-3.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:35add3b638a5d900e807944a078b51922212fb3dedb01633a8defc4b01a3c85f", size = 13906, upload-time = "2025-09-27T18:36:40.689Z" }, + { url = "https://files.pythonhosted.org/packages/38/2f/907b9c7bbba283e68f20259574b13d005c121a0fa4c175f9bed27c4597ff/markupsafe-3.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e1cf1972137e83c5d4c136c43ced9ac51d0e124706ee1c8aa8532c1287fa8795", size = 11622, upload-time = "2025-09-27T18:36:41.777Z" }, + { url = "https://files.pythonhosted.org/packages/9c/d9/5f7756922cdd676869eca1c4e3c0cd0df60ed30199ffd775e319089cb3ed/markupsafe-3.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:116bb52f642a37c115f517494ea5feb03889e04df47eeff5b130b1808ce7c219", size = 12029, upload-time = "2025-09-27T18:36:43.257Z" }, + { url = "https://files.pythonhosted.org/packages/00/07/575a68c754943058c78f30db02ee03a64b3c638586fba6a6dd56830b30a3/markupsafe-3.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:133a43e73a802c5562be9bbcd03d090aa5a1fe899db609c29e8c8d815c5f6de6", size = 24374, upload-time = "2025-09-27T18:36:44.508Z" }, + { url = "https://files.pythonhosted.org/packages/a9/21/9b05698b46f218fc0e118e1f8168395c65c8a2c750ae2bab54fc4bd4e0e8/markupsafe-3.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ccfcd093f13f0f0b7fdd0f198b90053bf7b2f02a3927a30e63f3ccc9df56b676", size = 22980, upload-time = "2025-09-27T18:36:45.385Z" }, + { url = "https://files.pythonhosted.org/packages/7f/71/544260864f893f18b6827315b988c146b559391e6e7e8f7252839b1b846a/markupsafe-3.0.3-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:509fa21c6deb7a7a273d629cf5ec029bc209d1a51178615ddf718f5918992ab9", size = 21990, upload-time = "2025-09-27T18:36:46.916Z" }, + { url = "https://files.pythonhosted.org/packages/c2/28/b50fc2f74d1ad761af2f5dcce7492648b983d00a65b8c0e0cb457c82ebbe/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a4afe79fb3de0b7097d81da19090f4df4f8d3a2b3adaa8764138aac2e44f3af1", size = 23784, upload-time = "2025-09-27T18:36:47.884Z" }, + { url = "https://files.pythonhosted.org/packages/ed/76/104b2aa106a208da8b17a2fb72e033a5a9d7073c68f7e508b94916ed47a9/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:795e7751525cae078558e679d646ae45574b47ed6e7771863fcc079a6171a0fc", size = 21588, upload-time = "2025-09-27T18:36:48.82Z" }, + { url = "https://files.pythonhosted.org/packages/b5/99/16a5eb2d140087ebd97180d95249b00a03aa87e29cc224056274f2e45fd6/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8485f406a96febb5140bfeca44a73e3ce5116b2501ac54fe953e488fb1d03b12", size = 23041, upload-time = "2025-09-27T18:36:49.797Z" }, + { url = "https://files.pythonhosted.org/packages/19/bc/e7140ed90c5d61d77cea142eed9f9c303f4c4806f60a1044c13e3f1471d0/markupsafe-3.0.3-cp313-cp313-win32.whl", hash = "sha256:bdd37121970bfd8be76c5fb069c7751683bdf373db1ed6c010162b2a130248ed", size = 14543, upload-time = "2025-09-27T18:36:51.584Z" }, + { url = "https://files.pythonhosted.org/packages/05/73/c4abe620b841b6b791f2edc248f556900667a5a1cf023a6646967ae98335/markupsafe-3.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:9a1abfdc021a164803f4d485104931fb8f8c1efd55bc6b748d2f5774e78b62c5", size = 15113, upload-time = "2025-09-27T18:36:52.537Z" }, + { url = "https://files.pythonhosted.org/packages/f0/3a/fa34a0f7cfef23cf9500d68cb7c32dd64ffd58a12b09225fb03dd37d5b80/markupsafe-3.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:7e68f88e5b8799aa49c85cd116c932a1ac15caaa3f5db09087854d218359e485", size = 13911, upload-time = "2025-09-27T18:36:53.513Z" }, + { url = "https://files.pythonhosted.org/packages/e4/d7/e05cd7efe43a88a17a37b3ae96e79a19e846f3f456fe79c57ca61356ef01/markupsafe-3.0.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:218551f6df4868a8d527e3062d0fb968682fe92054e89978594c28e642c43a73", size = 11658, upload-time = "2025-09-27T18:36:54.819Z" }, + { url = "https://files.pythonhosted.org/packages/99/9e/e412117548182ce2148bdeacdda3bb494260c0b0184360fe0d56389b523b/markupsafe-3.0.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3524b778fe5cfb3452a09d31e7b5adefeea8c5be1d43c4f810ba09f2ceb29d37", size = 12066, upload-time = "2025-09-27T18:36:55.714Z" }, + { url = "https://files.pythonhosted.org/packages/bc/e6/fa0ffcda717ef64a5108eaa7b4f5ed28d56122c9a6d70ab8b72f9f715c80/markupsafe-3.0.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4e885a3d1efa2eadc93c894a21770e4bc67899e3543680313b09f139e149ab19", size = 25639, upload-time = "2025-09-27T18:36:56.908Z" }, + { url = "https://files.pythonhosted.org/packages/96/ec/2102e881fe9d25fc16cb4b25d5f5cde50970967ffa5dddafdb771237062d/markupsafe-3.0.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8709b08f4a89aa7586de0aadc8da56180242ee0ada3999749b183aa23df95025", size = 23569, upload-time = "2025-09-27T18:36:57.913Z" }, + { url = "https://files.pythonhosted.org/packages/4b/30/6f2fce1f1f205fc9323255b216ca8a235b15860c34b6798f810f05828e32/markupsafe-3.0.3-cp313-cp313t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:b8512a91625c9b3da6f127803b166b629725e68af71f8184ae7e7d54686a56d6", size = 23284, upload-time = "2025-09-27T18:36:58.833Z" }, + { url = "https://files.pythonhosted.org/packages/58/47/4a0ccea4ab9f5dcb6f79c0236d954acb382202721e704223a8aafa38b5c8/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9b79b7a16f7fedff2495d684f2b59b0457c3b493778c9eed31111be64d58279f", size = 24801, upload-time = "2025-09-27T18:36:59.739Z" }, + { url = "https://files.pythonhosted.org/packages/6a/70/3780e9b72180b6fecb83a4814d84c3bf4b4ae4bf0b19c27196104149734c/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:12c63dfb4a98206f045aa9563db46507995f7ef6d83b2f68eda65c307c6829eb", size = 22769, upload-time = "2025-09-27T18:37:00.719Z" }, + { url = "https://files.pythonhosted.org/packages/98/c5/c03c7f4125180fc215220c035beac6b9cb684bc7a067c84fc69414d315f5/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8f71bc33915be5186016f675cd83a1e08523649b0e33efdb898db577ef5bb009", size = 23642, upload-time = "2025-09-27T18:37:01.673Z" }, + { url = "https://files.pythonhosted.org/packages/80/d6/2d1b89f6ca4bff1036499b1e29a1d02d282259f3681540e16563f27ebc23/markupsafe-3.0.3-cp313-cp313t-win32.whl", hash = "sha256:69c0b73548bc525c8cb9a251cddf1931d1db4d2258e9599c28c07ef3580ef354", size = 14612, upload-time = "2025-09-27T18:37:02.639Z" }, + { url = "https://files.pythonhosted.org/packages/2b/98/e48a4bfba0a0ffcf9925fe2d69240bfaa19c6f7507b8cd09c70684a53c1e/markupsafe-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:1b4b79e8ebf6b55351f0d91fe80f893b4743f104bff22e90697db1590e47a218", size = 15200, upload-time = "2025-09-27T18:37:03.582Z" }, + { url = "https://files.pythonhosted.org/packages/0e/72/e3cc540f351f316e9ed0f092757459afbc595824ca724cbc5a5d4263713f/markupsafe-3.0.3-cp313-cp313t-win_arm64.whl", hash = "sha256:ad2cf8aa28b8c020ab2fc8287b0f823d0a7d8630784c31e9ee5edea20f406287", size = 13973, upload-time = "2025-09-27T18:37:04.929Z" }, + { url = "https://files.pythonhosted.org/packages/33/8a/8e42d4838cd89b7dde187011e97fe6c3af66d8c044997d2183fbd6d31352/markupsafe-3.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:eaa9599de571d72e2daf60164784109f19978b327a3910d3e9de8c97b5b70cfe", size = 11619, upload-time = "2025-09-27T18:37:06.342Z" }, + { url = "https://files.pythonhosted.org/packages/b5/64/7660f8a4a8e53c924d0fa05dc3a55c9cee10bbd82b11c5afb27d44b096ce/markupsafe-3.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c47a551199eb8eb2121d4f0f15ae0f923d31350ab9280078d1e5f12b249e0026", size = 12029, upload-time = "2025-09-27T18:37:07.213Z" }, + { url = "https://files.pythonhosted.org/packages/da/ef/e648bfd021127bef5fa12e1720ffed0c6cbb8310c8d9bea7266337ff06de/markupsafe-3.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f34c41761022dd093b4b6896d4810782ffbabe30f2d443ff5f083e0cbbb8c737", size = 24408, upload-time = "2025-09-27T18:37:09.572Z" }, + { url = "https://files.pythonhosted.org/packages/41/3c/a36c2450754618e62008bf7435ccb0f88053e07592e6028a34776213d877/markupsafe-3.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:457a69a9577064c05a97c41f4e65148652db078a3a509039e64d3467b9e7ef97", size = 23005, upload-time = "2025-09-27T18:37:10.58Z" }, + { url = "https://files.pythonhosted.org/packages/bc/20/b7fdf89a8456b099837cd1dc21974632a02a999ec9bf7ca3e490aacd98e7/markupsafe-3.0.3-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:e8afc3f2ccfa24215f8cb28dcf43f0113ac3c37c2f0f0806d8c70e4228c5cf4d", size = 22048, upload-time = "2025-09-27T18:37:11.547Z" }, + { url = "https://files.pythonhosted.org/packages/9a/a7/591f592afdc734f47db08a75793a55d7fbcc6902a723ae4cfbab61010cc5/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:ec15a59cf5af7be74194f7ab02d0f59a62bdcf1a537677ce67a2537c9b87fcda", size = 23821, upload-time = "2025-09-27T18:37:12.48Z" }, + { url = "https://files.pythonhosted.org/packages/7d/33/45b24e4f44195b26521bc6f1a82197118f74df348556594bd2262bda1038/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:0eb9ff8191e8498cca014656ae6b8d61f39da5f95b488805da4bb029cccbfbaf", size = 21606, upload-time = "2025-09-27T18:37:13.485Z" }, + { url = "https://files.pythonhosted.org/packages/ff/0e/53dfaca23a69fbfbbf17a4b64072090e70717344c52eaaaa9c5ddff1e5f0/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2713baf880df847f2bece4230d4d094280f4e67b1e813eec43b4c0e144a34ffe", size = 23043, upload-time = "2025-09-27T18:37:14.408Z" }, + { url = "https://files.pythonhosted.org/packages/46/11/f333a06fc16236d5238bfe74daccbca41459dcd8d1fa952e8fbd5dccfb70/markupsafe-3.0.3-cp314-cp314-win32.whl", hash = "sha256:729586769a26dbceff69f7a7dbbf59ab6572b99d94576a5592625d5b411576b9", size = 14747, upload-time = "2025-09-27T18:37:15.36Z" }, + { url = "https://files.pythonhosted.org/packages/28/52/182836104b33b444e400b14f797212f720cbc9ed6ba34c800639d154e821/markupsafe-3.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:bdc919ead48f234740ad807933cdf545180bfbe9342c2bb451556db2ed958581", size = 15341, upload-time = "2025-09-27T18:37:16.496Z" }, + { url = "https://files.pythonhosted.org/packages/6f/18/acf23e91bd94fd7b3031558b1f013adfa21a8e407a3fdb32745538730382/markupsafe-3.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:5a7d5dc5140555cf21a6fefbdbf8723f06fcd2f63ef108f2854de715e4422cb4", size = 14073, upload-time = "2025-09-27T18:37:17.476Z" }, + { url = "https://files.pythonhosted.org/packages/3c/f0/57689aa4076e1b43b15fdfa646b04653969d50cf30c32a102762be2485da/markupsafe-3.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:1353ef0c1b138e1907ae78e2f6c63ff67501122006b0f9abad68fda5f4ffc6ab", size = 11661, upload-time = "2025-09-27T18:37:18.453Z" }, + { url = "https://files.pythonhosted.org/packages/89/c3/2e67a7ca217c6912985ec766c6393b636fb0c2344443ff9d91404dc4c79f/markupsafe-3.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:1085e7fbddd3be5f89cc898938f42c0b3c711fdcb37d75221de2666af647c175", size = 12069, upload-time = "2025-09-27T18:37:19.332Z" }, + { url = "https://files.pythonhosted.org/packages/f0/00/be561dce4e6ca66b15276e184ce4b8aec61fe83662cce2f7d72bd3249d28/markupsafe-3.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1b52b4fb9df4eb9ae465f8d0c228a00624de2334f216f178a995ccdcf82c4634", size = 25670, upload-time = "2025-09-27T18:37:20.245Z" }, + { url = "https://files.pythonhosted.org/packages/50/09/c419f6f5a92e5fadde27efd190eca90f05e1261b10dbd8cbcb39cd8ea1dc/markupsafe-3.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fed51ac40f757d41b7c48425901843666a6677e3e8eb0abcff09e4ba6e664f50", size = 23598, upload-time = "2025-09-27T18:37:21.177Z" }, + { url = "https://files.pythonhosted.org/packages/22/44/a0681611106e0b2921b3033fc19bc53323e0b50bc70cffdd19f7d679bb66/markupsafe-3.0.3-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f190daf01f13c72eac4efd5c430a8de82489d9cff23c364c3ea822545032993e", size = 23261, upload-time = "2025-09-27T18:37:22.167Z" }, + { url = "https://files.pythonhosted.org/packages/5f/57/1b0b3f100259dc9fffe780cfb60d4be71375510e435efec3d116b6436d43/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:e56b7d45a839a697b5eb268c82a71bd8c7f6c94d6fd50c3d577fa39a9f1409f5", size = 24835, upload-time = "2025-09-27T18:37:23.296Z" }, + { url = "https://files.pythonhosted.org/packages/26/6a/4bf6d0c97c4920f1597cc14dd720705eca0bf7c787aebc6bb4d1bead5388/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:f3e98bb3798ead92273dc0e5fd0f31ade220f59a266ffd8a4f6065e0a3ce0523", size = 22733, upload-time = "2025-09-27T18:37:24.237Z" }, + { url = "https://files.pythonhosted.org/packages/14/c7/ca723101509b518797fedc2fdf79ba57f886b4aca8a7d31857ba3ee8281f/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:5678211cb9333a6468fb8d8be0305520aa073f50d17f089b5b4b477ea6e67fdc", size = 23672, upload-time = "2025-09-27T18:37:25.271Z" }, + { url = "https://files.pythonhosted.org/packages/fb/df/5bd7a48c256faecd1d36edc13133e51397e41b73bb77e1a69deab746ebac/markupsafe-3.0.3-cp314-cp314t-win32.whl", hash = "sha256:915c04ba3851909ce68ccc2b8e2cd691618c4dc4c4232fb7982bca3f41fd8c3d", size = 14819, upload-time = "2025-09-27T18:37:26.285Z" }, + { url = "https://files.pythonhosted.org/packages/1a/8a/0402ba61a2f16038b48b39bccca271134be00c5c9f0f623208399333c448/markupsafe-3.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4faffd047e07c38848ce017e8725090413cd80cbc23d86e55c587bf979e579c9", size = 15426, upload-time = "2025-09-27T18:37:27.316Z" }, + { url = "https://files.pythonhosted.org/packages/70/bc/6f1c2f612465f5fa89b95bead1f44dcb607670fd42891d8fdcd5d039f4f4/markupsafe-3.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:32001d6a8fc98c8cb5c947787c5d08b0a50663d139f1305bac5885d98d9b40fa", size = 14146, upload-time = "2025-09-27T18:37:28.327Z" }, ] [[package]] @@ -1242,43 +1276,43 @@ dependencies = [ { name = "pyparsing" }, { name = "python-dateutil" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/ae/e2/d2d5295be2f44c678ebaf3544ba32d20c1f9ef08c49fe47f496180e1db15/matplotlib-3.10.7.tar.gz", hash = "sha256:a06ba7e2a2ef9131c79c49e63dad355d2d878413a0376c1727c8b9335ff731c7", size = 34804865, upload_time = "2025-10-09T00:28:00.669Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/be/b3/09eb0f7796932826ec20c25b517d568627754f6c6462fca19e12c02f2e12/matplotlib-3.10.7-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7a0edb7209e21840e8361e91ea84ea676658aa93edd5f8762793dec77a4a6748", size = 8272389, upload_time = "2025-10-09T00:26:42.474Z" }, - { url = "https://files.pythonhosted.org/packages/11/0b/1ae80ddafb8652fd8046cb5c8460ecc8d4afccb89e2c6d6bec61e04e1eaf/matplotlib-3.10.7-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c380371d3c23e0eadf8ebff114445b9f970aff2010198d498d4ab4c3b41eea4f", size = 8128247, upload_time = "2025-10-09T00:26:44.77Z" }, - { url = "https://files.pythonhosted.org/packages/7d/18/95ae2e242d4a5c98bd6e90e36e128d71cf1c7e39b0874feaed3ef782e789/matplotlib-3.10.7-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d5f256d49fea31f40f166a5e3131235a5d2f4b7f44520b1cf0baf1ce568ccff0", size = 8696996, upload_time = "2025-10-09T00:26:46.792Z" }, - { url = "https://files.pythonhosted.org/packages/7e/3d/5b559efc800bd05cb2033aa85f7e13af51958136a48327f7c261801ff90a/matplotlib-3.10.7-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:11ae579ac83cdf3fb72573bb89f70e0534de05266728740d478f0f818983c695", size = 9530153, upload_time = "2025-10-09T00:26:49.07Z" }, - { url = "https://files.pythonhosted.org/packages/88/57/eab4a719fd110312d3c220595d63a3c85ec2a39723f0f4e7fa7e6e3f74ba/matplotlib-3.10.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:4c14b6acd16cddc3569a2d515cfdd81c7a68ac5639b76548cfc1a9e48b20eb65", size = 9593093, upload_time = "2025-10-09T00:26:51.067Z" }, - { url = "https://files.pythonhosted.org/packages/31/3c/80816f027b3a4a28cd2a0a6ef7f89a2db22310e945cd886ec25bfb399221/matplotlib-3.10.7-cp312-cp312-win_amd64.whl", hash = "sha256:0d8c32b7ea6fb80b1aeff5a2ceb3fb9778e2759e899d9beff75584714afcc5ee", size = 8122771, upload_time = "2025-10-09T00:26:53.296Z" }, - { url = "https://files.pythonhosted.org/packages/de/77/ef1fc78bfe99999b2675435cc52120887191c566b25017d78beaabef7f2d/matplotlib-3.10.7-cp312-cp312-win_arm64.whl", hash = "sha256:5f3f6d315dcc176ba7ca6e74c7768fb7e4cf566c49cb143f6bc257b62e634ed8", size = 7992812, upload_time = "2025-10-09T00:26:54.882Z" }, - { url = "https://files.pythonhosted.org/packages/02/9c/207547916a02c78f6bdd83448d9b21afbc42f6379ed887ecf610984f3b4e/matplotlib-3.10.7-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1d9d3713a237970569156cfb4de7533b7c4eacdd61789726f444f96a0d28f57f", size = 8273212, upload_time = "2025-10-09T00:26:56.752Z" }, - { url = "https://files.pythonhosted.org/packages/bc/d0/b3d3338d467d3fc937f0bb7f256711395cae6f78e22cef0656159950adf0/matplotlib-3.10.7-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:37a1fea41153dd6ee061d21ab69c9cf2cf543160b1b85d89cd3d2e2a7902ca4c", size = 8128713, upload_time = "2025-10-09T00:26:59.001Z" }, - { url = "https://files.pythonhosted.org/packages/22/ff/6425bf5c20d79aa5b959d1ce9e65f599632345391381c9a104133fe0b171/matplotlib-3.10.7-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b3c4ea4948d93c9c29dc01c0c23eef66f2101bf75158c291b88de6525c55c3d1", size = 8698527, upload_time = "2025-10-09T00:27:00.69Z" }, - { url = "https://files.pythonhosted.org/packages/d0/7f/ccdca06f4c2e6c7989270ed7829b8679466682f4cfc0f8c9986241c023b6/matplotlib-3.10.7-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22df30ffaa89f6643206cf13877191c63a50e8f800b038bc39bee9d2d4957632", size = 9529690, upload_time = "2025-10-09T00:27:02.664Z" }, - { url = "https://files.pythonhosted.org/packages/b8/95/b80fc2c1f269f21ff3d193ca697358e24408c33ce2b106a7438a45407b63/matplotlib-3.10.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b69676845a0a66f9da30e87f48be36734d6748024b525ec4710be40194282c84", size = 9593732, upload_time = "2025-10-09T00:27:04.653Z" }, - { url = "https://files.pythonhosted.org/packages/e1/b6/23064a96308b9aeceeffa65e96bcde459a2ea4934d311dee20afde7407a0/matplotlib-3.10.7-cp313-cp313-win_amd64.whl", hash = "sha256:744991e0cc863dd669c8dc9136ca4e6e0082be2070b9d793cbd64bec872a6815", size = 8122727, upload_time = "2025-10-09T00:27:06.814Z" }, - { url = "https://files.pythonhosted.org/packages/b3/a6/2faaf48133b82cf3607759027f82b5c702aa99cdfcefb7f93d6ccf26a424/matplotlib-3.10.7-cp313-cp313-win_arm64.whl", hash = "sha256:fba2974df0bf8ce3c995fa84b79cde38326e0f7b5409e7a3a481c1141340bcf7", size = 7992958, upload_time = "2025-10-09T00:27:08.567Z" }, - { url = "https://files.pythonhosted.org/packages/4a/f0/b018fed0b599bd48d84c08794cb242227fe3341952da102ee9d9682db574/matplotlib-3.10.7-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:932c55d1fa7af4423422cb6a492a31cbcbdbe68fd1a9a3f545aa5e7a143b5355", size = 8316849, upload_time = "2025-10-09T00:27:10.254Z" }, - { url = "https://files.pythonhosted.org/packages/b0/b7/bb4f23856197659f275e11a2a164e36e65e9b48ea3e93c4ec25b4f163198/matplotlib-3.10.7-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:5e38c2d581d62ee729a6e144c47a71b3f42fb4187508dbbf4fe71d5612c3433b", size = 8178225, upload_time = "2025-10-09T00:27:12.241Z" }, - { url = "https://files.pythonhosted.org/packages/62/56/0600609893ff277e6f3ab3c0cef4eafa6e61006c058e84286c467223d4d5/matplotlib-3.10.7-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:786656bb13c237bbcebcd402f65f44dd61ead60ee3deb045af429d889c8dbc67", size = 8711708, upload_time = "2025-10-09T00:27:13.879Z" }, - { url = "https://files.pythonhosted.org/packages/d8/1a/6bfecb0cafe94d6658f2f1af22c43b76cf7a1c2f0dc34ef84cbb6809617e/matplotlib-3.10.7-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:09d7945a70ea43bf9248f4b6582734c2fe726723204a76eca233f24cffc7ef67", size = 9541409, upload_time = "2025-10-09T00:27:15.684Z" }, - { url = "https://files.pythonhosted.org/packages/08/50/95122a407d7f2e446fd865e2388a232a23f2b81934960ea802f3171518e4/matplotlib-3.10.7-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:d0b181e9fa8daf1d9f2d4c547527b167cb8838fc587deabca7b5c01f97199e84", size = 9594054, upload_time = "2025-10-09T00:27:17.547Z" }, - { url = "https://files.pythonhosted.org/packages/13/76/75b194a43b81583478a81e78a07da8d9ca6ddf50dd0a2ccabf258059481d/matplotlib-3.10.7-cp313-cp313t-win_amd64.whl", hash = "sha256:31963603041634ce1a96053047b40961f7a29eb8f9a62e80cc2c0427aa1d22a2", size = 8200100, upload_time = "2025-10-09T00:27:20.039Z" }, - { url = "https://files.pythonhosted.org/packages/f5/9e/6aefebdc9f8235c12bdeeda44cc0383d89c1e41da2c400caf3ee2073a3ce/matplotlib-3.10.7-cp313-cp313t-win_arm64.whl", hash = "sha256:aebed7b50aa6ac698c90f60f854b47e48cd2252b30510e7a1feddaf5a3f72cbf", size = 8042131, upload_time = "2025-10-09T00:27:21.608Z" }, - { url = "https://files.pythonhosted.org/packages/0d/4b/e5bc2c321b6a7e3a75638d937d19ea267c34bd5a90e12bee76c4d7c7a0d9/matplotlib-3.10.7-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:d883460c43e8c6b173fef244a2341f7f7c0e9725c7fe68306e8e44ed9c8fb100", size = 8273787, upload_time = "2025-10-09T00:27:23.27Z" }, - { url = "https://files.pythonhosted.org/packages/86/ad/6efae459c56c2fbc404da154e13e3a6039129f3c942b0152624f1c621f05/matplotlib-3.10.7-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:07124afcf7a6504eafcb8ce94091c5898bbdd351519a1beb5c45f7a38c67e77f", size = 8131348, upload_time = "2025-10-09T00:27:24.926Z" }, - { url = "https://files.pythonhosted.org/packages/a6/5a/a4284d2958dee4116359cc05d7e19c057e64ece1b4ac986ab0f2f4d52d5a/matplotlib-3.10.7-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c17398b709a6cce3d9fdb1595c33e356d91c098cd9486cb2cc21ea2ea418e715", size = 9533949, upload_time = "2025-10-09T00:27:26.704Z" }, - { url = "https://files.pythonhosted.org/packages/de/ff/f3781b5057fa3786623ad8976fc9f7b0d02b2f28534751fd5a44240de4cf/matplotlib-3.10.7-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7146d64f561498764561e9cd0ed64fcf582e570fc519e6f521e2d0cfd43365e1", size = 9804247, upload_time = "2025-10-09T00:27:28.514Z" }, - { url = "https://files.pythonhosted.org/packages/47/5a/993a59facb8444efb0e197bf55f545ee449902dcee86a4dfc580c3b61314/matplotlib-3.10.7-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:90ad854c0a435da3104c01e2c6f0028d7e719b690998a2333d7218db80950722", size = 9595497, upload_time = "2025-10-09T00:27:30.418Z" }, - { url = "https://files.pythonhosted.org/packages/0d/a5/77c95aaa9bb32c345cbb49626ad8eb15550cba2e6d4c88081a6c2ac7b08d/matplotlib-3.10.7-cp314-cp314-win_amd64.whl", hash = "sha256:4645fc5d9d20ffa3a39361fcdbcec731382763b623b72627806bf251b6388866", size = 8252732, upload_time = "2025-10-09T00:27:32.332Z" }, - { url = "https://files.pythonhosted.org/packages/74/04/45d269b4268d222390d7817dae77b159651909669a34ee9fdee336db5883/matplotlib-3.10.7-cp314-cp314-win_arm64.whl", hash = "sha256:9257be2f2a03415f9105c486d304a321168e61ad450f6153d77c69504ad764bb", size = 8124240, upload_time = "2025-10-09T00:27:33.94Z" }, - { url = "https://files.pythonhosted.org/packages/4b/c7/ca01c607bb827158b439208c153d6f14ddb9fb640768f06f7ca3488ae67b/matplotlib-3.10.7-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:1e4bbad66c177a8fdfa53972e5ef8be72a5f27e6a607cec0d8579abd0f3102b1", size = 8316938, upload_time = "2025-10-09T00:27:35.534Z" }, - { url = "https://files.pythonhosted.org/packages/84/d2/5539e66e9f56d2fdec94bb8436f5e449683b4e199bcc897c44fbe3c99e28/matplotlib-3.10.7-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:d8eb7194b084b12feb19142262165832fc6ee879b945491d1c3d4660748020c4", size = 8178245, upload_time = "2025-10-09T00:27:37.334Z" }, - { url = "https://files.pythonhosted.org/packages/77/b5/e6ca22901fd3e4fe433a82e583436dd872f6c966fca7e63cf806b40356f8/matplotlib-3.10.7-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4d41379b05528091f00e1728004f9a8d7191260f3862178b88e8fd770206318", size = 9541411, upload_time = "2025-10-09T00:27:39.387Z" }, - { url = "https://files.pythonhosted.org/packages/9e/99/a4524db57cad8fee54b7237239a8f8360bfcfa3170d37c9e71c090c0f409/matplotlib-3.10.7-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4a74f79fafb2e177f240579bc83f0b60f82cc47d2f1d260f422a0627207008ca", size = 9803664, upload_time = "2025-10-09T00:27:41.492Z" }, - { url = "https://files.pythonhosted.org/packages/e6/a5/85e2edf76ea0ad4288d174926d9454ea85f3ce5390cc4e6fab196cbf250b/matplotlib-3.10.7-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:702590829c30aada1e8cef0568ddbffa77ca747b4d6e36c6d173f66e301f89cc", size = 9594066, upload_time = "2025-10-09T00:27:43.694Z" }, - { url = "https://files.pythonhosted.org/packages/39/69/9684368a314f6d83fe5c5ad2a4121a3a8e03723d2e5c8ea17b66c1bad0e7/matplotlib-3.10.7-cp314-cp314t-win_amd64.whl", hash = "sha256:f79d5de970fc90cd5591f60053aecfce1fcd736e0303d9f0bf86be649fa68fb8", size = 8342832, upload_time = "2025-10-09T00:27:45.543Z" }, - { url = "https://files.pythonhosted.org/packages/04/5f/e22e08da14bc1a0894184640d47819d2338b792732e20d292bf86e5ab785/matplotlib-3.10.7-cp314-cp314t-win_arm64.whl", hash = "sha256:cb783436e47fcf82064baca52ce748af71725d0352e1d31564cbe9c95df92b9c", size = 8172585, upload_time = "2025-10-09T00:27:47.185Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/ae/e2/d2d5295be2f44c678ebaf3544ba32d20c1f9ef08c49fe47f496180e1db15/matplotlib-3.10.7.tar.gz", hash = "sha256:a06ba7e2a2ef9131c79c49e63dad355d2d878413a0376c1727c8b9335ff731c7", size = 34804865, upload-time = "2025-10-09T00:28:00.669Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/be/b3/09eb0f7796932826ec20c25b517d568627754f6c6462fca19e12c02f2e12/matplotlib-3.10.7-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7a0edb7209e21840e8361e91ea84ea676658aa93edd5f8762793dec77a4a6748", size = 8272389, upload-time = "2025-10-09T00:26:42.474Z" }, + { url = "https://files.pythonhosted.org/packages/11/0b/1ae80ddafb8652fd8046cb5c8460ecc8d4afccb89e2c6d6bec61e04e1eaf/matplotlib-3.10.7-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c380371d3c23e0eadf8ebff114445b9f970aff2010198d498d4ab4c3b41eea4f", size = 8128247, upload-time = "2025-10-09T00:26:44.77Z" }, + { url = "https://files.pythonhosted.org/packages/7d/18/95ae2e242d4a5c98bd6e90e36e128d71cf1c7e39b0874feaed3ef782e789/matplotlib-3.10.7-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d5f256d49fea31f40f166a5e3131235a5d2f4b7f44520b1cf0baf1ce568ccff0", size = 8696996, upload-time = "2025-10-09T00:26:46.792Z" }, + { url = "https://files.pythonhosted.org/packages/7e/3d/5b559efc800bd05cb2033aa85f7e13af51958136a48327f7c261801ff90a/matplotlib-3.10.7-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:11ae579ac83cdf3fb72573bb89f70e0534de05266728740d478f0f818983c695", size = 9530153, upload-time = "2025-10-09T00:26:49.07Z" }, + { url = "https://files.pythonhosted.org/packages/88/57/eab4a719fd110312d3c220595d63a3c85ec2a39723f0f4e7fa7e6e3f74ba/matplotlib-3.10.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:4c14b6acd16cddc3569a2d515cfdd81c7a68ac5639b76548cfc1a9e48b20eb65", size = 9593093, upload-time = "2025-10-09T00:26:51.067Z" }, + { url = "https://files.pythonhosted.org/packages/31/3c/80816f027b3a4a28cd2a0a6ef7f89a2db22310e945cd886ec25bfb399221/matplotlib-3.10.7-cp312-cp312-win_amd64.whl", hash = "sha256:0d8c32b7ea6fb80b1aeff5a2ceb3fb9778e2759e899d9beff75584714afcc5ee", size = 8122771, upload-time = "2025-10-09T00:26:53.296Z" }, + { url = "https://files.pythonhosted.org/packages/de/77/ef1fc78bfe99999b2675435cc52120887191c566b25017d78beaabef7f2d/matplotlib-3.10.7-cp312-cp312-win_arm64.whl", hash = "sha256:5f3f6d315dcc176ba7ca6e74c7768fb7e4cf566c49cb143f6bc257b62e634ed8", size = 7992812, upload-time = "2025-10-09T00:26:54.882Z" }, + { url = "https://files.pythonhosted.org/packages/02/9c/207547916a02c78f6bdd83448d9b21afbc42f6379ed887ecf610984f3b4e/matplotlib-3.10.7-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1d9d3713a237970569156cfb4de7533b7c4eacdd61789726f444f96a0d28f57f", size = 8273212, upload-time = "2025-10-09T00:26:56.752Z" }, + { url = "https://files.pythonhosted.org/packages/bc/d0/b3d3338d467d3fc937f0bb7f256711395cae6f78e22cef0656159950adf0/matplotlib-3.10.7-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:37a1fea41153dd6ee061d21ab69c9cf2cf543160b1b85d89cd3d2e2a7902ca4c", size = 8128713, upload-time = "2025-10-09T00:26:59.001Z" }, + { url = "https://files.pythonhosted.org/packages/22/ff/6425bf5c20d79aa5b959d1ce9e65f599632345391381c9a104133fe0b171/matplotlib-3.10.7-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b3c4ea4948d93c9c29dc01c0c23eef66f2101bf75158c291b88de6525c55c3d1", size = 8698527, upload-time = "2025-10-09T00:27:00.69Z" }, + { url = "https://files.pythonhosted.org/packages/d0/7f/ccdca06f4c2e6c7989270ed7829b8679466682f4cfc0f8c9986241c023b6/matplotlib-3.10.7-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22df30ffaa89f6643206cf13877191c63a50e8f800b038bc39bee9d2d4957632", size = 9529690, upload-time = "2025-10-09T00:27:02.664Z" }, + { url = "https://files.pythonhosted.org/packages/b8/95/b80fc2c1f269f21ff3d193ca697358e24408c33ce2b106a7438a45407b63/matplotlib-3.10.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b69676845a0a66f9da30e87f48be36734d6748024b525ec4710be40194282c84", size = 9593732, upload-time = "2025-10-09T00:27:04.653Z" }, + { url = "https://files.pythonhosted.org/packages/e1/b6/23064a96308b9aeceeffa65e96bcde459a2ea4934d311dee20afde7407a0/matplotlib-3.10.7-cp313-cp313-win_amd64.whl", hash = "sha256:744991e0cc863dd669c8dc9136ca4e6e0082be2070b9d793cbd64bec872a6815", size = 8122727, upload-time = "2025-10-09T00:27:06.814Z" }, + { url = "https://files.pythonhosted.org/packages/b3/a6/2faaf48133b82cf3607759027f82b5c702aa99cdfcefb7f93d6ccf26a424/matplotlib-3.10.7-cp313-cp313-win_arm64.whl", hash = "sha256:fba2974df0bf8ce3c995fa84b79cde38326e0f7b5409e7a3a481c1141340bcf7", size = 7992958, upload-time = "2025-10-09T00:27:08.567Z" }, + { url = "https://files.pythonhosted.org/packages/4a/f0/b018fed0b599bd48d84c08794cb242227fe3341952da102ee9d9682db574/matplotlib-3.10.7-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:932c55d1fa7af4423422cb6a492a31cbcbdbe68fd1a9a3f545aa5e7a143b5355", size = 8316849, upload-time = "2025-10-09T00:27:10.254Z" }, + { url = "https://files.pythonhosted.org/packages/b0/b7/bb4f23856197659f275e11a2a164e36e65e9b48ea3e93c4ec25b4f163198/matplotlib-3.10.7-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:5e38c2d581d62ee729a6e144c47a71b3f42fb4187508dbbf4fe71d5612c3433b", size = 8178225, upload-time = "2025-10-09T00:27:12.241Z" }, + { url = "https://files.pythonhosted.org/packages/62/56/0600609893ff277e6f3ab3c0cef4eafa6e61006c058e84286c467223d4d5/matplotlib-3.10.7-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:786656bb13c237bbcebcd402f65f44dd61ead60ee3deb045af429d889c8dbc67", size = 8711708, upload-time = "2025-10-09T00:27:13.879Z" }, + { url = "https://files.pythonhosted.org/packages/d8/1a/6bfecb0cafe94d6658f2f1af22c43b76cf7a1c2f0dc34ef84cbb6809617e/matplotlib-3.10.7-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:09d7945a70ea43bf9248f4b6582734c2fe726723204a76eca233f24cffc7ef67", size = 9541409, upload-time = "2025-10-09T00:27:15.684Z" }, + { url = "https://files.pythonhosted.org/packages/08/50/95122a407d7f2e446fd865e2388a232a23f2b81934960ea802f3171518e4/matplotlib-3.10.7-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:d0b181e9fa8daf1d9f2d4c547527b167cb8838fc587deabca7b5c01f97199e84", size = 9594054, upload-time = "2025-10-09T00:27:17.547Z" }, + { url = "https://files.pythonhosted.org/packages/13/76/75b194a43b81583478a81e78a07da8d9ca6ddf50dd0a2ccabf258059481d/matplotlib-3.10.7-cp313-cp313t-win_amd64.whl", hash = "sha256:31963603041634ce1a96053047b40961f7a29eb8f9a62e80cc2c0427aa1d22a2", size = 8200100, upload-time = "2025-10-09T00:27:20.039Z" }, + { url = "https://files.pythonhosted.org/packages/f5/9e/6aefebdc9f8235c12bdeeda44cc0383d89c1e41da2c400caf3ee2073a3ce/matplotlib-3.10.7-cp313-cp313t-win_arm64.whl", hash = "sha256:aebed7b50aa6ac698c90f60f854b47e48cd2252b30510e7a1feddaf5a3f72cbf", size = 8042131, upload-time = "2025-10-09T00:27:21.608Z" }, + { url = "https://files.pythonhosted.org/packages/0d/4b/e5bc2c321b6a7e3a75638d937d19ea267c34bd5a90e12bee76c4d7c7a0d9/matplotlib-3.10.7-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:d883460c43e8c6b173fef244a2341f7f7c0e9725c7fe68306e8e44ed9c8fb100", size = 8273787, upload-time = "2025-10-09T00:27:23.27Z" }, + { url = "https://files.pythonhosted.org/packages/86/ad/6efae459c56c2fbc404da154e13e3a6039129f3c942b0152624f1c621f05/matplotlib-3.10.7-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:07124afcf7a6504eafcb8ce94091c5898bbdd351519a1beb5c45f7a38c67e77f", size = 8131348, upload-time = "2025-10-09T00:27:24.926Z" }, + { url = "https://files.pythonhosted.org/packages/a6/5a/a4284d2958dee4116359cc05d7e19c057e64ece1b4ac986ab0f2f4d52d5a/matplotlib-3.10.7-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c17398b709a6cce3d9fdb1595c33e356d91c098cd9486cb2cc21ea2ea418e715", size = 9533949, upload-time = "2025-10-09T00:27:26.704Z" }, + { url = "https://files.pythonhosted.org/packages/de/ff/f3781b5057fa3786623ad8976fc9f7b0d02b2f28534751fd5a44240de4cf/matplotlib-3.10.7-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7146d64f561498764561e9cd0ed64fcf582e570fc519e6f521e2d0cfd43365e1", size = 9804247, upload-time = "2025-10-09T00:27:28.514Z" }, + { url = "https://files.pythonhosted.org/packages/47/5a/993a59facb8444efb0e197bf55f545ee449902dcee86a4dfc580c3b61314/matplotlib-3.10.7-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:90ad854c0a435da3104c01e2c6f0028d7e719b690998a2333d7218db80950722", size = 9595497, upload-time = "2025-10-09T00:27:30.418Z" }, + { url = "https://files.pythonhosted.org/packages/0d/a5/77c95aaa9bb32c345cbb49626ad8eb15550cba2e6d4c88081a6c2ac7b08d/matplotlib-3.10.7-cp314-cp314-win_amd64.whl", hash = "sha256:4645fc5d9d20ffa3a39361fcdbcec731382763b623b72627806bf251b6388866", size = 8252732, upload-time = "2025-10-09T00:27:32.332Z" }, + { url = "https://files.pythonhosted.org/packages/74/04/45d269b4268d222390d7817dae77b159651909669a34ee9fdee336db5883/matplotlib-3.10.7-cp314-cp314-win_arm64.whl", hash = "sha256:9257be2f2a03415f9105c486d304a321168e61ad450f6153d77c69504ad764bb", size = 8124240, upload-time = "2025-10-09T00:27:33.94Z" }, + { url = "https://files.pythonhosted.org/packages/4b/c7/ca01c607bb827158b439208c153d6f14ddb9fb640768f06f7ca3488ae67b/matplotlib-3.10.7-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:1e4bbad66c177a8fdfa53972e5ef8be72a5f27e6a607cec0d8579abd0f3102b1", size = 8316938, upload-time = "2025-10-09T00:27:35.534Z" }, + { url = "https://files.pythonhosted.org/packages/84/d2/5539e66e9f56d2fdec94bb8436f5e449683b4e199bcc897c44fbe3c99e28/matplotlib-3.10.7-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:d8eb7194b084b12feb19142262165832fc6ee879b945491d1c3d4660748020c4", size = 8178245, upload-time = "2025-10-09T00:27:37.334Z" }, + { url = "https://files.pythonhosted.org/packages/77/b5/e6ca22901fd3e4fe433a82e583436dd872f6c966fca7e63cf806b40356f8/matplotlib-3.10.7-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4d41379b05528091f00e1728004f9a8d7191260f3862178b88e8fd770206318", size = 9541411, upload-time = "2025-10-09T00:27:39.387Z" }, + { url = "https://files.pythonhosted.org/packages/9e/99/a4524db57cad8fee54b7237239a8f8360bfcfa3170d37c9e71c090c0f409/matplotlib-3.10.7-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4a74f79fafb2e177f240579bc83f0b60f82cc47d2f1d260f422a0627207008ca", size = 9803664, upload-time = "2025-10-09T00:27:41.492Z" }, + { url = "https://files.pythonhosted.org/packages/e6/a5/85e2edf76ea0ad4288d174926d9454ea85f3ce5390cc4e6fab196cbf250b/matplotlib-3.10.7-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:702590829c30aada1e8cef0568ddbffa77ca747b4d6e36c6d173f66e301f89cc", size = 9594066, upload-time = "2025-10-09T00:27:43.694Z" }, + { url = "https://files.pythonhosted.org/packages/39/69/9684368a314f6d83fe5c5ad2a4121a3a8e03723d2e5c8ea17b66c1bad0e7/matplotlib-3.10.7-cp314-cp314t-win_amd64.whl", hash = "sha256:f79d5de970fc90cd5591f60053aecfce1fcd736e0303d9f0bf86be649fa68fb8", size = 8342832, upload-time = "2025-10-09T00:27:45.543Z" }, + { url = "https://files.pythonhosted.org/packages/04/5f/e22e08da14bc1a0894184640d47819d2338b792732e20d292bf86e5ab785/matplotlib-3.10.7-cp314-cp314t-win_arm64.whl", hash = "sha256:cb783436e47fcf82064baca52ce748af71725d0352e1d31564cbe9c95df92b9c", size = 8172585, upload-time = "2025-10-09T00:27:47.185Z" }, ] [[package]] @@ -1288,45 +1322,45 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "traitlets" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/c7/74/97e72a36efd4ae2bccb3463284300f8953f199b5ffbc04cbbb0ec78f74b1/matplotlib_inline-0.2.1.tar.gz", hash = "sha256:e1ee949c340d771fc39e241ea75683deb94762c8fa5f2927ec57c83c4dffa9fe", size = 8110, upload_time = "2025-10-23T09:00:22.126Z" } +sdist = { url = "https://files.pythonhosted.org/packages/c7/74/97e72a36efd4ae2bccb3463284300f8953f199b5ffbc04cbbb0ec78f74b1/matplotlib_inline-0.2.1.tar.gz", hash = "sha256:e1ee949c340d771fc39e241ea75683deb94762c8fa5f2927ec57c83c4dffa9fe", size = 8110, upload-time = "2025-10-23T09:00:22.126Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/af/33/ee4519fa02ed11a94aef9559552f3b17bb863f2ecfe1a35dc7f548cde231/matplotlib_inline-0.2.1-py3-none-any.whl", hash = "sha256:d56ce5156ba6085e00a9d54fead6ed29a9c47e215cd1bba2e976ef39f5710a76", size = 9516, upload_time = "2025-10-23T09:00:20.675Z" }, + { url = "https://files.pythonhosted.org/packages/af/33/ee4519fa02ed11a94aef9559552f3b17bb863f2ecfe1a35dc7f548cde231/matplotlib_inline-0.2.1-py3-none-any.whl", hash = "sha256:d56ce5156ba6085e00a9d54fead6ed29a9c47e215cd1bba2e976ef39f5710a76", size = 9516, upload-time = "2025-10-23T09:00:20.675Z" }, ] [[package]] name = "mccabe" version = "0.7.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/e7/ff/0ffefdcac38932a54d2b5eed4e0ba8a408f215002cd178ad1df0f2806ff8/mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325", size = 9658, upload_time = "2022-01-24T01:14:51.113Z" } +sdist = { url = "https://files.pythonhosted.org/packages/e7/ff/0ffefdcac38932a54d2b5eed4e0ba8a408f215002cd178ad1df0f2806ff8/mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325", size = 9658, upload-time = "2022-01-24T01:14:51.113Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/27/1a/1f68f9ba0c207934b35b86a8ca3aad8395a3d6dd7921c0686e23853ff5a9/mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e", size = 7350, upload_time = "2022-01-24T01:14:49.62Z" }, + { url = "https://files.pythonhosted.org/packages/27/1a/1f68f9ba0c207934b35b86a8ca3aad8395a3d6dd7921c0686e23853ff5a9/mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e", size = 7350, upload-time = "2022-01-24T01:14:49.62Z" }, ] [[package]] name = "mistune" version = "3.1.4" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/d7/02/a7fb8b21d4d55ac93cdcde9d3638da5dd0ebdd3a4fed76c7725e10b81cbe/mistune-3.1.4.tar.gz", hash = "sha256:b5a7f801d389f724ec702840c11d8fc48f2b33519102fc7ee739e8177b672164", size = 94588, upload_time = "2025-08-29T07:20:43.594Z" } +sdist = { url = "https://files.pythonhosted.org/packages/d7/02/a7fb8b21d4d55ac93cdcde9d3638da5dd0ebdd3a4fed76c7725e10b81cbe/mistune-3.1.4.tar.gz", hash = "sha256:b5a7f801d389f724ec702840c11d8fc48f2b33519102fc7ee739e8177b672164", size = 94588, upload-time = "2025-08-29T07:20:43.594Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/7a/f0/8282d9641415e9e33df173516226b404d367a0fc55e1a60424a152913abc/mistune-3.1.4-py3-none-any.whl", hash = "sha256:93691da911e5d9d2e23bc54472892aff676df27a75274962ff9edc210364266d", size = 53481, upload_time = "2025-08-29T07:20:42.218Z" }, + { url = "https://files.pythonhosted.org/packages/7a/f0/8282d9641415e9e33df173516226b404d367a0fc55e1a60424a152913abc/mistune-3.1.4-py3-none-any.whl", hash = "sha256:93691da911e5d9d2e23bc54472892aff676df27a75274962ff9edc210364266d", size = 53481, upload-time = "2025-08-29T07:20:42.218Z" }, ] [[package]] name = "mypy-extensions" version = "1.1.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a2/6e/371856a3fb9d31ca8dac321cda606860fa4548858c0cc45d9d1d4ca2628b/mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558", size = 6343, upload_time = "2025-04-22T14:54:24.164Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a2/6e/371856a3fb9d31ca8dac321cda606860fa4548858c0cc45d9d1d4ca2628b/mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558", size = 6343, upload-time = "2025-04-22T14:54:24.164Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/79/7b/2c79738432f5c924bef5071f933bcc9efd0473bac3b4aa584a6f7c1c8df8/mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505", size = 4963, upload_time = "2025-04-22T14:54:22.983Z" }, + { url = "https://files.pythonhosted.org/packages/79/7b/2c79738432f5c924bef5071f933bcc9efd0473bac3b4aa584a6f7c1c8df8/mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505", size = 4963, upload-time = "2025-04-22T14:54:22.983Z" }, ] [[package]] name = "narwhals" version = "2.13.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/89/ea/f82ef99ced4d03c33bb314c9b84a08a0a86c448aaa11ffd6256b99538aa5/narwhals-2.13.0.tar.gz", hash = "sha256:ee94c97f4cf7cfeebbeca8d274784df8b3d7fd3f955ce418af998d405576fdd9", size = 594555, upload_time = "2025-12-01T13:54:05.329Z" } +sdist = { url = "https://files.pythonhosted.org/packages/89/ea/f82ef99ced4d03c33bb314c9b84a08a0a86c448aaa11ffd6256b99538aa5/narwhals-2.13.0.tar.gz", hash = "sha256:ee94c97f4cf7cfeebbeca8d274784df8b3d7fd3f955ce418af998d405576fdd9", size = 594555, upload-time = "2025-12-01T13:54:05.329Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/87/0d/1861d1599571974b15b025e12b142d8e6b42ad66c8a07a89cb0fc21f1e03/narwhals-2.13.0-py3-none-any.whl", hash = "sha256:9b795523c179ca78204e3be53726da374168f906e38de2ff174c2363baaaf481", size = 426407, upload_time = "2025-12-01T13:54:03.861Z" }, + { url = "https://files.pythonhosted.org/packages/87/0d/1861d1599571974b15b025e12b142d8e6b42ad66c8a07a89cb0fc21f1e03/narwhals-2.13.0-py3-none-any.whl", hash = "sha256:9b795523c179ca78204e3be53726da374168f906e38de2ff174c2363baaaf481", size = 426407, upload-time = "2025-12-01T13:54:03.861Z" }, ] [[package]] @@ -1339,9 +1373,9 @@ dependencies = [ { name = "nbformat" }, { name = "traitlets" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/87/66/7ffd18d58eae90d5721f9f39212327695b749e23ad44b3881744eaf4d9e8/nbclient-0.10.2.tar.gz", hash = "sha256:90b7fc6b810630db87a6d0c2250b1f0ab4cf4d3c27a299b0cde78a4ed3fd9193", size = 62424, upload_time = "2024-12-19T10:32:27.164Z" } +sdist = { url = "https://files.pythonhosted.org/packages/87/66/7ffd18d58eae90d5721f9f39212327695b749e23ad44b3881744eaf4d9e8/nbclient-0.10.2.tar.gz", hash = "sha256:90b7fc6b810630db87a6d0c2250b1f0ab4cf4d3c27a299b0cde78a4ed3fd9193", size = 62424, upload-time = "2024-12-19T10:32:27.164Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/34/6d/e7fa07f03a4a7b221d94b4d586edb754a9b0dc3c9e2c93353e9fa4e0d117/nbclient-0.10.2-py3-none-any.whl", hash = "sha256:4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d", size = 25434, upload_time = "2024-12-19T10:32:24.139Z" }, + { url = "https://files.pythonhosted.org/packages/34/6d/e7fa07f03a4a7b221d94b4d586edb754a9b0dc3c9e2c93353e9fa4e0d117/nbclient-0.10.2-py3-none-any.whl", hash = "sha256:4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d", size = 25434, upload-time = "2024-12-19T10:32:24.139Z" }, ] [[package]] @@ -1364,9 +1398,9 @@ dependencies = [ { name = "pygments" }, { name = "traitlets" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/a3/59/f28e15fc47ffb73af68a8d9b47367a8630d76e97ae85ad18271b9db96fdf/nbconvert-7.16.6.tar.gz", hash = "sha256:576a7e37c6480da7b8465eefa66c17844243816ce1ccc372633c6b71c3c0f582", size = 857715, upload_time = "2025-01-28T09:29:14.724Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a3/59/f28e15fc47ffb73af68a8d9b47367a8630d76e97ae85ad18271b9db96fdf/nbconvert-7.16.6.tar.gz", hash = "sha256:576a7e37c6480da7b8465eefa66c17844243816ce1ccc372633c6b71c3c0f582", size = 857715, upload-time = "2025-01-28T09:29:14.724Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/cc/9a/cd673b2f773a12c992f41309ef81b99da1690426bd2f96957a7ade0d3ed7/nbconvert-7.16.6-py3-none-any.whl", hash = "sha256:1375a7b67e0c2883678c48e506dc320febb57685e5ee67faa51b18a90f3a712b", size = 258525, upload_time = "2025-01-28T09:29:12.551Z" }, + { url = "https://files.pythonhosted.org/packages/cc/9a/cd673b2f773a12c992f41309ef81b99da1690426bd2f96957a7ade0d3ed7/nbconvert-7.16.6-py3-none-any.whl", hash = "sha256:1375a7b67e0c2883678c48e506dc320febb57685e5ee67faa51b18a90f3a712b", size = 258525, upload-time = "2025-01-28T09:29:12.551Z" }, ] [[package]] @@ -1379,18 +1413,18 @@ dependencies = [ { name = "jupyter-core" }, { name = "traitlets" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/6d/fd/91545e604bc3dad7dca9ed03284086039b294c6b3d75c0d2fa45f9e9caf3/nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a", size = 142749, upload_time = "2024-04-04T11:20:37.371Z" } +sdist = { url = "https://files.pythonhosted.org/packages/6d/fd/91545e604bc3dad7dca9ed03284086039b294c6b3d75c0d2fa45f9e9caf3/nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a", size = 142749, upload-time = "2024-04-04T11:20:37.371Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/a9/82/0340caa499416c78e5d8f5f05947ae4bc3cba53c9f038ab6e9ed964e22f1/nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b", size = 78454, upload_time = "2024-04-04T11:20:34.895Z" }, + { url = "https://files.pythonhosted.org/packages/a9/82/0340caa499416c78e5d8f5f05947ae4bc3cba53c9f038ab6e9ed964e22f1/nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b", size = 78454, upload-time = "2024-04-04T11:20:34.895Z" }, ] [[package]] name = "nest-asyncio" version = "1.6.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/83/f8/51569ac65d696c8ecbee95938f89d4abf00f47d58d48f6fbabfe8f0baefe/nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe", size = 7418, upload_time = "2024-01-21T14:25:19.227Z" } +sdist = { url = "https://files.pythonhosted.org/packages/83/f8/51569ac65d696c8ecbee95938f89d4abf00f47d58d48f6fbabfe8f0baefe/nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe", size = 7418, upload-time = "2024-01-21T14:25:19.227Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/a0/c4/c2971a3ba4c6103a3d10c4b0f24f461ddc027f0f09763220cf35ca1401b3/nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c", size = 5195, upload_time = "2024-01-21T14:25:17.223Z" }, + { url = "https://files.pythonhosted.org/packages/a0/c4/c2971a3ba4c6103a3d10c4b0f24f461ddc027f0f09763220cf35ca1401b3/nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c", size = 5195, upload-time = "2024-01-21T14:25:17.223Z" }, ] [[package]] @@ -1404,9 +1438,9 @@ dependencies = [ { name = "notebook-shim" }, { name = "tornado" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/89/ac/a97041621250a4fc5af379fb377942841eea2ca146aab166b8fcdfba96c2/notebook-7.5.0.tar.gz", hash = "sha256:3b27eaf9913033c28dde92d02139414c608992e1df4b969c843219acf2ff95e4", size = 14052074, upload_time = "2025-11-19T08:36:20.093Z" } +sdist = { url = "https://files.pythonhosted.org/packages/89/ac/a97041621250a4fc5af379fb377942841eea2ca146aab166b8fcdfba96c2/notebook-7.5.0.tar.gz", hash = "sha256:3b27eaf9913033c28dde92d02139414c608992e1df4b969c843219acf2ff95e4", size = 14052074, upload-time = "2025-11-19T08:36:20.093Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/73/96/00df2a4760f10f5af0f45c4955573cae6189931f9a30265a35865f8c1031/notebook-7.5.0-py3-none-any.whl", hash = "sha256:3300262d52905ca271bd50b22617681d95f08a8360d099e097726e6d2efb5811", size = 14460968, upload_time = "2025-11-19T08:36:15.869Z" }, + { url = "https://files.pythonhosted.org/packages/73/96/00df2a4760f10f5af0f45c4955573cae6189931f9a30265a35865f8c1031/notebook-7.5.0-py3-none-any.whl", hash = "sha256:3300262d52905ca271bd50b22617681d95f08a8360d099e097726e6d2efb5811", size = 14460968, upload-time = "2025-11-19T08:36:15.869Z" }, ] [[package]] @@ -1416,72 +1450,72 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "jupyter-server" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/54/d2/92fa3243712b9a3e8bafaf60aac366da1cada3639ca767ff4b5b3654ec28/notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb", size = 13167, upload_time = "2024-02-14T23:35:18.353Z" } +sdist = { url = "https://files.pythonhosted.org/packages/54/d2/92fa3243712b9a3e8bafaf60aac366da1cada3639ca767ff4b5b3654ec28/notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb", size = 13167, upload-time = "2024-02-14T23:35:18.353Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/f9/33/bd5b9137445ea4b680023eb0469b2bb969d61303dedb2aac6560ff3d14a1/notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef", size = 13307, upload_time = "2024-02-14T23:35:16.286Z" }, + { url = "https://files.pythonhosted.org/packages/f9/33/bd5b9137445ea4b680023eb0469b2bb969d61303dedb2aac6560ff3d14a1/notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef", size = 13307, upload-time = "2024-02-14T23:35:16.286Z" }, ] [[package]] name = "numpy" version = "2.3.5" source = { registry = "https://pypi.org/simple" } -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/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/db/69/9cde09f36da4b5a505341180a3f2e6fadc352fd4d2b7096ce9778db83f1a/numpy-2.3.5-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:d0f23b44f57077c1ede8c5f26b30f706498b4862d3ff0a7298b8411dd2f043ff", size = 16728251, upload_time = "2025-11-16T22:50:19.013Z" }, - { url = "https://files.pythonhosted.org/packages/79/fb/f505c95ceddd7027347b067689db71ca80bd5ecc926f913f1a23e65cf09b/numpy-2.3.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:aa5bc7c5d59d831d9773d1170acac7893ce3a5e130540605770ade83280e7188", size = 12254652, upload_time = "2025-11-16T22:50:21.487Z" }, - { url = "https://files.pythonhosted.org/packages/78/da/8c7738060ca9c31b30e9301ee0cf6c5ffdbf889d9593285a1cead337f9a5/numpy-2.3.5-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:ccc933afd4d20aad3c00bcef049cb40049f7f196e0397f1109dba6fed63267b0", size = 5083172, upload_time = "2025-11-16T22:50:24.562Z" }, - { url = "https://files.pythonhosted.org/packages/a4/b4/ee5bb2537fb9430fd2ef30a616c3672b991a4129bb1c7dcc42aa0abbe5d7/numpy-2.3.5-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:afaffc4393205524af9dfa400fa250143a6c3bc646c08c9f5e25a9f4b4d6a903", size = 6622990, upload_time = "2025-11-16T22:50:26.47Z" }, - { url = "https://files.pythonhosted.org/packages/95/03/dc0723a013c7d7c19de5ef29e932c3081df1c14ba582b8b86b5de9db7f0f/numpy-2.3.5-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c75442b2209b8470d6d5d8b1c25714270686f14c749028d2199c54e29f20b4d", size = 14248902, upload_time = "2025-11-16T22:50:28.861Z" }, - { url = "https://files.pythonhosted.org/packages/f5/10/ca162f45a102738958dcec8023062dad0cbc17d1ab99d68c4e4a6c45fb2b/numpy-2.3.5-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:11e06aa0af8c0f05104d56450d6093ee639e15f24ecf62d417329d06e522e017", size = 16597430, upload_time = "2025-11-16T22:50:31.56Z" }, - { url = "https://files.pythonhosted.org/packages/2a/51/c1e29be863588db58175175f057286900b4b3327a1351e706d5e0f8dd679/numpy-2.3.5-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ed89927b86296067b4f81f108a2271d8926467a8868e554eaf370fc27fa3ccaf", size = 16024551, upload_time = "2025-11-16T22:50:34.242Z" }, - { url = "https://files.pythonhosted.org/packages/83/68/8236589d4dbb87253d28259d04d9b814ec0ecce7cb1c7fed29729f4c3a78/numpy-2.3.5-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:51c55fe3451421f3a6ef9a9c1439e82101c57a2c9eab9feb196a62b1a10b58ce", size = 18533275, upload_time = "2025-11-16T22:50:37.651Z" }, - { url = "https://files.pythonhosted.org/packages/40/56/2932d75b6f13465239e3b7b7e511be27f1b8161ca2510854f0b6e521c395/numpy-2.3.5-cp313-cp313-win32.whl", hash = "sha256:1978155dd49972084bd6ef388d66ab70f0c323ddee6f693d539376498720fb7e", size = 6277637, upload_time = "2025-11-16T22:50:40.11Z" }, - { url = "https://files.pythonhosted.org/packages/0c/88/e2eaa6cffb115b85ed7c7c87775cb8bcf0816816bc98ca8dbfa2ee33fe6e/numpy-2.3.5-cp313-cp313-win_amd64.whl", hash = "sha256:00dc4e846108a382c5869e77c6ed514394bdeb3403461d25a829711041217d5b", size = 12779090, upload_time = "2025-11-16T22:50:42.503Z" }, - { url = "https://files.pythonhosted.org/packages/8f/88/3f41e13a44ebd4034ee17baa384acac29ba6a4fcc2aca95f6f08ca0447d1/numpy-2.3.5-cp313-cp313-win_arm64.whl", hash = "sha256:0472f11f6ec23a74a906a00b48a4dcf3849209696dff7c189714511268d103ae", size = 10194710, upload_time = "2025-11-16T22:50:44.971Z" }, - { url = "https://files.pythonhosted.org/packages/13/cb/71744144e13389d577f867f745b7df2d8489463654a918eea2eeb166dfc9/numpy-2.3.5-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:414802f3b97f3c1eef41e530aaba3b3c1620649871d8cb38c6eaff034c2e16bd", size = 16827292, upload_time = "2025-11-16T22:50:47.715Z" }, - { url = "https://files.pythonhosted.org/packages/71/80/ba9dc6f2a4398e7f42b708a7fdc841bb638d353be255655498edbf9a15a8/numpy-2.3.5-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:5ee6609ac3604fa7780e30a03e5e241a7956f8e2fcfe547d51e3afa5247ac47f", size = 12378897, upload_time = "2025-11-16T22:50:51.327Z" }, - { url = "https://files.pythonhosted.org/packages/2e/6d/db2151b9f64264bcceccd51741aa39b50150de9b602d98ecfe7e0c4bff39/numpy-2.3.5-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:86d835afea1eaa143012a2d7a3f45a3adce2d7adc8b4961f0b362214d800846a", size = 5207391, upload_time = "2025-11-16T22:50:54.542Z" }, - { url = "https://files.pythonhosted.org/packages/80/ae/429bacace5ccad48a14c4ae5332f6aa8ab9f69524193511d60ccdfdc65fa/numpy-2.3.5-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:30bc11310e8153ca664b14c5f1b73e94bd0503681fcf136a163de856f3a50139", size = 6721275, upload_time = "2025-11-16T22:50:56.794Z" }, - { url = "https://files.pythonhosted.org/packages/74/5b/1919abf32d8722646a38cd527bc3771eb229a32724ee6ba340ead9b92249/numpy-2.3.5-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1062fde1dcf469571705945b0f221b73928f34a20c904ffb45db101907c3454e", size = 14306855, upload_time = "2025-11-16T22:50:59.208Z" }, - { url = "https://files.pythonhosted.org/packages/a5/87/6831980559434973bebc30cd9c1f21e541a0f2b0c280d43d3afd909b66d0/numpy-2.3.5-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ce581db493ea1a96c0556360ede6607496e8bf9b3a8efa66e06477267bc831e9", size = 16657359, upload_time = "2025-11-16T22:51:01.991Z" }, - { url = "https://files.pythonhosted.org/packages/dd/91/c797f544491ee99fd00495f12ebb7802c440c1915811d72ac5b4479a3356/numpy-2.3.5-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:cc8920d2ec5fa99875b670bb86ddeb21e295cb07aa331810d9e486e0b969d946", size = 16093374, upload_time = "2025-11-16T22:51:05.291Z" }, - { url = "https://files.pythonhosted.org/packages/74/a6/54da03253afcbe7a72785ec4da9c69fb7a17710141ff9ac5fcb2e32dbe64/numpy-2.3.5-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:9ee2197ef8c4f0dfe405d835f3b6a14f5fee7782b5de51ba06fb65fc9b36e9f1", size = 18594587, upload_time = "2025-11-16T22:51:08.585Z" }, - { url = "https://files.pythonhosted.org/packages/80/e9/aff53abbdd41b0ecca94285f325aff42357c6b5abc482a3fcb4994290b18/numpy-2.3.5-cp313-cp313t-win32.whl", hash = "sha256:70b37199913c1bd300ff6e2693316c6f869c7ee16378faf10e4f5e3275b299c3", size = 6405940, upload_time = "2025-11-16T22:51:11.541Z" }, - { url = "https://files.pythonhosted.org/packages/d5/81/50613fec9d4de5480de18d4f8ef59ad7e344d497edbef3cfd80f24f98461/numpy-2.3.5-cp313-cp313t-win_amd64.whl", hash = "sha256:b501b5fa195cc9e24fe102f21ec0a44dffc231d2af79950b451e0d99cea02234", size = 12920341, upload_time = "2025-11-16T22:51:14.312Z" }, - { url = "https://files.pythonhosted.org/packages/bb/ab/08fd63b9a74303947f34f0bd7c5903b9c5532c2d287bead5bdf4c556c486/numpy-2.3.5-cp313-cp313t-win_arm64.whl", hash = "sha256:a80afd79f45f3c4a7d341f13acbe058d1ca8ac017c165d3fa0d3de6bc1a079d7", size = 10262507, upload_time = "2025-11-16T22:51:16.846Z" }, - { url = "https://files.pythonhosted.org/packages/ba/97/1a914559c19e32d6b2e233cf9a6a114e67c856d35b1d6babca571a3e880f/numpy-2.3.5-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:bf06bc2af43fa8d32d30fae16ad965663e966b1a3202ed407b84c989c3221e82", size = 16735706, upload_time = "2025-11-16T22:51:19.558Z" }, - { url = "https://files.pythonhosted.org/packages/57/d4/51233b1c1b13ecd796311216ae417796b88b0616cfd8a33ae4536330748a/numpy-2.3.5-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:052e8c42e0c49d2575621c158934920524f6c5da05a1d3b9bab5d8e259e045f0", size = 12264507, upload_time = "2025-11-16T22:51:22.492Z" }, - { url = "https://files.pythonhosted.org/packages/45/98/2fe46c5c2675b8306d0b4a3ec3494273e93e1226a490f766e84298576956/numpy-2.3.5-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:1ed1ec893cff7040a02c8aa1c8611b94d395590d553f6b53629a4461dc7f7b63", size = 5093049, upload_time = "2025-11-16T22:51:25.171Z" }, - { url = "https://files.pythonhosted.org/packages/ce/0e/0698378989bb0ac5f1660c81c78ab1fe5476c1a521ca9ee9d0710ce54099/numpy-2.3.5-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:2dcd0808a421a482a080f89859a18beb0b3d1e905b81e617a188bd80422d62e9", size = 6626603, upload_time = "2025-11-16T22:51:27Z" }, - { url = "https://files.pythonhosted.org/packages/5e/a6/9ca0eecc489640615642a6cbc0ca9e10df70df38c4d43f5a928ff18d8827/numpy-2.3.5-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:727fd05b57df37dc0bcf1a27767a3d9a78cbbc92822445f32cc3436ba797337b", size = 14262696, upload_time = "2025-11-16T22:51:29.402Z" }, - { url = "https://files.pythonhosted.org/packages/c8/f6/07ec185b90ec9d7217a00eeeed7383b73d7e709dae2a9a021b051542a708/numpy-2.3.5-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fffe29a1ef00883599d1dc2c51aa2e5d80afe49523c261a74933df395c15c520", size = 16597350, upload_time = "2025-11-16T22:51:32.167Z" }, - { url = "https://files.pythonhosted.org/packages/75/37/164071d1dde6a1a84c9b8e5b414fa127981bad47adf3a6b7e23917e52190/numpy-2.3.5-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:8f7f0e05112916223d3f438f293abf0727e1181b5983f413dfa2fefc4098245c", size = 16040190, upload_time = "2025-11-16T22:51:35.403Z" }, - { url = "https://files.pythonhosted.org/packages/08/3c/f18b82a406b04859eb026d204e4e1773eb41c5be58410f41ffa511d114ae/numpy-2.3.5-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2e2eb32ddb9ccb817d620ac1d8dae7c3f641c1e5f55f531a33e8ab97960a75b8", size = 18536749, upload_time = "2025-11-16T22:51:39.698Z" }, - { url = "https://files.pythonhosted.org/packages/40/79/f82f572bf44cf0023a2fe8588768e23e1592585020d638999f15158609e1/numpy-2.3.5-cp314-cp314-win32.whl", hash = "sha256:66f85ce62c70b843bab1fb14a05d5737741e74e28c7b8b5a064de10142fad248", size = 6335432, upload_time = "2025-11-16T22:51:42.476Z" }, - { url = "https://files.pythonhosted.org/packages/a3/2e/235b4d96619931192c91660805e5e49242389742a7a82c27665021db690c/numpy-2.3.5-cp314-cp314-win_amd64.whl", hash = "sha256:e6a0bc88393d65807d751a614207b7129a310ca4fe76a74e5c7da5fa5671417e", size = 12919388, upload_time = "2025-11-16T22:51:45.275Z" }, - { url = "https://files.pythonhosted.org/packages/07/2b/29fd75ce45d22a39c61aad74f3d718e7ab67ccf839ca8b60866054eb15f8/numpy-2.3.5-cp314-cp314-win_arm64.whl", hash = "sha256:aeffcab3d4b43712bb7a60b65f6044d444e75e563ff6180af8f98dd4b905dfd2", size = 10476651, upload_time = "2025-11-16T22:51:47.749Z" }, - { url = "https://files.pythonhosted.org/packages/17/e1/f6a721234ebd4d87084cfa68d081bcba2f5cfe1974f7de4e0e8b9b2a2ba1/numpy-2.3.5-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:17531366a2e3a9e30762c000f2c43a9aaa05728712e25c11ce1dbe700c53ad41", size = 16834503, upload_time = "2025-11-16T22:51:50.443Z" }, - { url = "https://files.pythonhosted.org/packages/5c/1c/baf7ffdc3af9c356e1c135e57ab7cf8d247931b9554f55c467efe2c69eff/numpy-2.3.5-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:d21644de1b609825ede2f48be98dfde4656aefc713654eeee280e37cadc4e0ad", size = 12381612, upload_time = "2025-11-16T22:51:53.609Z" }, - { url = "https://files.pythonhosted.org/packages/74/91/f7f0295151407ddc9ba34e699013c32c3c91944f9b35fcf9281163dc1468/numpy-2.3.5-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:c804e3a5aba5460c73955c955bdbd5c08c354954e9270a2c1565f62e866bdc39", size = 5210042, upload_time = "2025-11-16T22:51:56.213Z" }, - { url = "https://files.pythonhosted.org/packages/2e/3b/78aebf345104ec50dd50a4d06ddeb46a9ff5261c33bcc58b1c4f12f85ec2/numpy-2.3.5-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:cc0a57f895b96ec78969c34f682c602bf8da1a0270b09bc65673df2e7638ec20", size = 6724502, upload_time = "2025-11-16T22:51:58.584Z" }, - { url = "https://files.pythonhosted.org/packages/02/c6/7c34b528740512e57ef1b7c8337ab0b4f0bddf34c723b8996c675bc2bc91/numpy-2.3.5-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:900218e456384ea676e24ea6a0417f030a3b07306d29d7ad843957b40a9d8d52", size = 14308962, upload_time = "2025-11-16T22:52:01.698Z" }, - { url = "https://files.pythonhosted.org/packages/80/35/09d433c5262bc32d725bafc619e095b6a6651caf94027a03da624146f655/numpy-2.3.5-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:09a1bea522b25109bf8e6f3027bd810f7c1085c64a0c7ce050c1676ad0ba010b", size = 16655054, upload_time = "2025-11-16T22:52:04.267Z" }, - { url = "https://files.pythonhosted.org/packages/7a/ab/6a7b259703c09a88804fa2430b43d6457b692378f6b74b356155283566ac/numpy-2.3.5-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:04822c00b5fd0323c8166d66c701dc31b7fbd252c100acd708c48f763968d6a3", size = 16091613, upload_time = "2025-11-16T22:52:08.651Z" }, - { url = "https://files.pythonhosted.org/packages/c2/88/330da2071e8771e60d1038166ff9d73f29da37b01ec3eb43cb1427464e10/numpy-2.3.5-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:d6889ec4ec662a1a37eb4b4fb26b6100841804dac55bd9df579e326cdc146227", size = 18591147, upload_time = "2025-11-16T22:52:11.453Z" }, - { url = "https://files.pythonhosted.org/packages/51/41/851c4b4082402d9ea860c3626db5d5df47164a712cb23b54be028b184c1c/numpy-2.3.5-cp314-cp314t-win32.whl", hash = "sha256:93eebbcf1aafdf7e2ddd44c2923e2672e1010bddc014138b229e49725b4d6be5", size = 6479806, upload_time = "2025-11-16T22:52:14.641Z" }, - { url = "https://files.pythonhosted.org/packages/90/30/d48bde1dfd93332fa557cff1972fbc039e055a52021fbef4c2c4b1eefd17/numpy-2.3.5-cp314-cp314t-win_amd64.whl", hash = "sha256:c8a9958e88b65c3b27e22ca2a076311636850b612d6bbfb76e8d156aacde2aaf", size = 13105760, upload_time = "2025-11-16T22:52:17.975Z" }, - { url = "https://files.pythonhosted.org/packages/2d/fd/4b5eb0b3e888d86aee4d198c23acec7d214baaf17ea93c1adec94c9518b9/numpy-2.3.5-cp314-cp314t-win_arm64.whl", hash = "sha256:6203fdf9f3dc5bdaed7319ad8698e685c7a3be10819f41d32a0723e611733b42", size = 10545459, upload_time = "2025-11-16T22:52:20.55Z" }, +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/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/db/69/9cde09f36da4b5a505341180a3f2e6fadc352fd4d2b7096ce9778db83f1a/numpy-2.3.5-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:d0f23b44f57077c1ede8c5f26b30f706498b4862d3ff0a7298b8411dd2f043ff", size = 16728251, upload-time = "2025-11-16T22:50:19.013Z" }, + { url = "https://files.pythonhosted.org/packages/79/fb/f505c95ceddd7027347b067689db71ca80bd5ecc926f913f1a23e65cf09b/numpy-2.3.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:aa5bc7c5d59d831d9773d1170acac7893ce3a5e130540605770ade83280e7188", size = 12254652, upload-time = "2025-11-16T22:50:21.487Z" }, + { url = "https://files.pythonhosted.org/packages/78/da/8c7738060ca9c31b30e9301ee0cf6c5ffdbf889d9593285a1cead337f9a5/numpy-2.3.5-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:ccc933afd4d20aad3c00bcef049cb40049f7f196e0397f1109dba6fed63267b0", size = 5083172, upload-time = "2025-11-16T22:50:24.562Z" }, + { url = "https://files.pythonhosted.org/packages/a4/b4/ee5bb2537fb9430fd2ef30a616c3672b991a4129bb1c7dcc42aa0abbe5d7/numpy-2.3.5-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:afaffc4393205524af9dfa400fa250143a6c3bc646c08c9f5e25a9f4b4d6a903", size = 6622990, upload-time = "2025-11-16T22:50:26.47Z" }, + { url = "https://files.pythonhosted.org/packages/95/03/dc0723a013c7d7c19de5ef29e932c3081df1c14ba582b8b86b5de9db7f0f/numpy-2.3.5-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c75442b2209b8470d6d5d8b1c25714270686f14c749028d2199c54e29f20b4d", size = 14248902, upload-time = "2025-11-16T22:50:28.861Z" }, + { url = "https://files.pythonhosted.org/packages/f5/10/ca162f45a102738958dcec8023062dad0cbc17d1ab99d68c4e4a6c45fb2b/numpy-2.3.5-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:11e06aa0af8c0f05104d56450d6093ee639e15f24ecf62d417329d06e522e017", size = 16597430, upload-time = "2025-11-16T22:50:31.56Z" }, + { url = "https://files.pythonhosted.org/packages/2a/51/c1e29be863588db58175175f057286900b4b3327a1351e706d5e0f8dd679/numpy-2.3.5-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ed89927b86296067b4f81f108a2271d8926467a8868e554eaf370fc27fa3ccaf", size = 16024551, upload-time = "2025-11-16T22:50:34.242Z" }, + { url = "https://files.pythonhosted.org/packages/83/68/8236589d4dbb87253d28259d04d9b814ec0ecce7cb1c7fed29729f4c3a78/numpy-2.3.5-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:51c55fe3451421f3a6ef9a9c1439e82101c57a2c9eab9feb196a62b1a10b58ce", size = 18533275, upload-time = "2025-11-16T22:50:37.651Z" }, + { url = "https://files.pythonhosted.org/packages/40/56/2932d75b6f13465239e3b7b7e511be27f1b8161ca2510854f0b6e521c395/numpy-2.3.5-cp313-cp313-win32.whl", hash = "sha256:1978155dd49972084bd6ef388d66ab70f0c323ddee6f693d539376498720fb7e", size = 6277637, upload-time = "2025-11-16T22:50:40.11Z" }, + { url = "https://files.pythonhosted.org/packages/0c/88/e2eaa6cffb115b85ed7c7c87775cb8bcf0816816bc98ca8dbfa2ee33fe6e/numpy-2.3.5-cp313-cp313-win_amd64.whl", hash = "sha256:00dc4e846108a382c5869e77c6ed514394bdeb3403461d25a829711041217d5b", size = 12779090, upload-time = "2025-11-16T22:50:42.503Z" }, + { url = "https://files.pythonhosted.org/packages/8f/88/3f41e13a44ebd4034ee17baa384acac29ba6a4fcc2aca95f6f08ca0447d1/numpy-2.3.5-cp313-cp313-win_arm64.whl", hash = "sha256:0472f11f6ec23a74a906a00b48a4dcf3849209696dff7c189714511268d103ae", size = 10194710, upload-time = "2025-11-16T22:50:44.971Z" }, + { url = "https://files.pythonhosted.org/packages/13/cb/71744144e13389d577f867f745b7df2d8489463654a918eea2eeb166dfc9/numpy-2.3.5-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:414802f3b97f3c1eef41e530aaba3b3c1620649871d8cb38c6eaff034c2e16bd", size = 16827292, upload-time = "2025-11-16T22:50:47.715Z" }, + { url = "https://files.pythonhosted.org/packages/71/80/ba9dc6f2a4398e7f42b708a7fdc841bb638d353be255655498edbf9a15a8/numpy-2.3.5-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:5ee6609ac3604fa7780e30a03e5e241a7956f8e2fcfe547d51e3afa5247ac47f", size = 12378897, upload-time = "2025-11-16T22:50:51.327Z" }, + { url = "https://files.pythonhosted.org/packages/2e/6d/db2151b9f64264bcceccd51741aa39b50150de9b602d98ecfe7e0c4bff39/numpy-2.3.5-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:86d835afea1eaa143012a2d7a3f45a3adce2d7adc8b4961f0b362214d800846a", size = 5207391, upload-time = "2025-11-16T22:50:54.542Z" }, + { url = "https://files.pythonhosted.org/packages/80/ae/429bacace5ccad48a14c4ae5332f6aa8ab9f69524193511d60ccdfdc65fa/numpy-2.3.5-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:30bc11310e8153ca664b14c5f1b73e94bd0503681fcf136a163de856f3a50139", size = 6721275, upload-time = "2025-11-16T22:50:56.794Z" }, + { url = "https://files.pythonhosted.org/packages/74/5b/1919abf32d8722646a38cd527bc3771eb229a32724ee6ba340ead9b92249/numpy-2.3.5-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1062fde1dcf469571705945b0f221b73928f34a20c904ffb45db101907c3454e", size = 14306855, upload-time = "2025-11-16T22:50:59.208Z" }, + { url = "https://files.pythonhosted.org/packages/a5/87/6831980559434973bebc30cd9c1f21e541a0f2b0c280d43d3afd909b66d0/numpy-2.3.5-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ce581db493ea1a96c0556360ede6607496e8bf9b3a8efa66e06477267bc831e9", size = 16657359, upload-time = "2025-11-16T22:51:01.991Z" }, + { url = "https://files.pythonhosted.org/packages/dd/91/c797f544491ee99fd00495f12ebb7802c440c1915811d72ac5b4479a3356/numpy-2.3.5-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:cc8920d2ec5fa99875b670bb86ddeb21e295cb07aa331810d9e486e0b969d946", size = 16093374, upload-time = "2025-11-16T22:51:05.291Z" }, + { url = "https://files.pythonhosted.org/packages/74/a6/54da03253afcbe7a72785ec4da9c69fb7a17710141ff9ac5fcb2e32dbe64/numpy-2.3.5-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:9ee2197ef8c4f0dfe405d835f3b6a14f5fee7782b5de51ba06fb65fc9b36e9f1", size = 18594587, upload-time = "2025-11-16T22:51:08.585Z" }, + { url = "https://files.pythonhosted.org/packages/80/e9/aff53abbdd41b0ecca94285f325aff42357c6b5abc482a3fcb4994290b18/numpy-2.3.5-cp313-cp313t-win32.whl", hash = "sha256:70b37199913c1bd300ff6e2693316c6f869c7ee16378faf10e4f5e3275b299c3", size = 6405940, upload-time = "2025-11-16T22:51:11.541Z" }, + { url = "https://files.pythonhosted.org/packages/d5/81/50613fec9d4de5480de18d4f8ef59ad7e344d497edbef3cfd80f24f98461/numpy-2.3.5-cp313-cp313t-win_amd64.whl", hash = "sha256:b501b5fa195cc9e24fe102f21ec0a44dffc231d2af79950b451e0d99cea02234", size = 12920341, upload-time = "2025-11-16T22:51:14.312Z" }, + { url = "https://files.pythonhosted.org/packages/bb/ab/08fd63b9a74303947f34f0bd7c5903b9c5532c2d287bead5bdf4c556c486/numpy-2.3.5-cp313-cp313t-win_arm64.whl", hash = "sha256:a80afd79f45f3c4a7d341f13acbe058d1ca8ac017c165d3fa0d3de6bc1a079d7", size = 10262507, upload-time = "2025-11-16T22:51:16.846Z" }, + { url = "https://files.pythonhosted.org/packages/ba/97/1a914559c19e32d6b2e233cf9a6a114e67c856d35b1d6babca571a3e880f/numpy-2.3.5-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:bf06bc2af43fa8d32d30fae16ad965663e966b1a3202ed407b84c989c3221e82", size = 16735706, upload-time = "2025-11-16T22:51:19.558Z" }, + { url = "https://files.pythonhosted.org/packages/57/d4/51233b1c1b13ecd796311216ae417796b88b0616cfd8a33ae4536330748a/numpy-2.3.5-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:052e8c42e0c49d2575621c158934920524f6c5da05a1d3b9bab5d8e259e045f0", size = 12264507, upload-time = "2025-11-16T22:51:22.492Z" }, + { url = "https://files.pythonhosted.org/packages/45/98/2fe46c5c2675b8306d0b4a3ec3494273e93e1226a490f766e84298576956/numpy-2.3.5-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:1ed1ec893cff7040a02c8aa1c8611b94d395590d553f6b53629a4461dc7f7b63", size = 5093049, upload-time = "2025-11-16T22:51:25.171Z" }, + { url = "https://files.pythonhosted.org/packages/ce/0e/0698378989bb0ac5f1660c81c78ab1fe5476c1a521ca9ee9d0710ce54099/numpy-2.3.5-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:2dcd0808a421a482a080f89859a18beb0b3d1e905b81e617a188bd80422d62e9", size = 6626603, upload-time = "2025-11-16T22:51:27Z" }, + { url = "https://files.pythonhosted.org/packages/5e/a6/9ca0eecc489640615642a6cbc0ca9e10df70df38c4d43f5a928ff18d8827/numpy-2.3.5-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:727fd05b57df37dc0bcf1a27767a3d9a78cbbc92822445f32cc3436ba797337b", size = 14262696, upload-time = "2025-11-16T22:51:29.402Z" }, + { url = "https://files.pythonhosted.org/packages/c8/f6/07ec185b90ec9d7217a00eeeed7383b73d7e709dae2a9a021b051542a708/numpy-2.3.5-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fffe29a1ef00883599d1dc2c51aa2e5d80afe49523c261a74933df395c15c520", size = 16597350, upload-time = "2025-11-16T22:51:32.167Z" }, + { url = "https://files.pythonhosted.org/packages/75/37/164071d1dde6a1a84c9b8e5b414fa127981bad47adf3a6b7e23917e52190/numpy-2.3.5-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:8f7f0e05112916223d3f438f293abf0727e1181b5983f413dfa2fefc4098245c", size = 16040190, upload-time = "2025-11-16T22:51:35.403Z" }, + { url = "https://files.pythonhosted.org/packages/08/3c/f18b82a406b04859eb026d204e4e1773eb41c5be58410f41ffa511d114ae/numpy-2.3.5-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2e2eb32ddb9ccb817d620ac1d8dae7c3f641c1e5f55f531a33e8ab97960a75b8", size = 18536749, upload-time = "2025-11-16T22:51:39.698Z" }, + { url = "https://files.pythonhosted.org/packages/40/79/f82f572bf44cf0023a2fe8588768e23e1592585020d638999f15158609e1/numpy-2.3.5-cp314-cp314-win32.whl", hash = "sha256:66f85ce62c70b843bab1fb14a05d5737741e74e28c7b8b5a064de10142fad248", size = 6335432, upload-time = "2025-11-16T22:51:42.476Z" }, + { url = "https://files.pythonhosted.org/packages/a3/2e/235b4d96619931192c91660805e5e49242389742a7a82c27665021db690c/numpy-2.3.5-cp314-cp314-win_amd64.whl", hash = "sha256:e6a0bc88393d65807d751a614207b7129a310ca4fe76a74e5c7da5fa5671417e", size = 12919388, upload-time = "2025-11-16T22:51:45.275Z" }, + { url = "https://files.pythonhosted.org/packages/07/2b/29fd75ce45d22a39c61aad74f3d718e7ab67ccf839ca8b60866054eb15f8/numpy-2.3.5-cp314-cp314-win_arm64.whl", hash = "sha256:aeffcab3d4b43712bb7a60b65f6044d444e75e563ff6180af8f98dd4b905dfd2", size = 10476651, upload-time = "2025-11-16T22:51:47.749Z" }, + { url = "https://files.pythonhosted.org/packages/17/e1/f6a721234ebd4d87084cfa68d081bcba2f5cfe1974f7de4e0e8b9b2a2ba1/numpy-2.3.5-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:17531366a2e3a9e30762c000f2c43a9aaa05728712e25c11ce1dbe700c53ad41", size = 16834503, upload-time = "2025-11-16T22:51:50.443Z" }, + { url = "https://files.pythonhosted.org/packages/5c/1c/baf7ffdc3af9c356e1c135e57ab7cf8d247931b9554f55c467efe2c69eff/numpy-2.3.5-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:d21644de1b609825ede2f48be98dfde4656aefc713654eeee280e37cadc4e0ad", size = 12381612, upload-time = "2025-11-16T22:51:53.609Z" }, + { url = "https://files.pythonhosted.org/packages/74/91/f7f0295151407ddc9ba34e699013c32c3c91944f9b35fcf9281163dc1468/numpy-2.3.5-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:c804e3a5aba5460c73955c955bdbd5c08c354954e9270a2c1565f62e866bdc39", size = 5210042, upload-time = "2025-11-16T22:51:56.213Z" }, + { url = "https://files.pythonhosted.org/packages/2e/3b/78aebf345104ec50dd50a4d06ddeb46a9ff5261c33bcc58b1c4f12f85ec2/numpy-2.3.5-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:cc0a57f895b96ec78969c34f682c602bf8da1a0270b09bc65673df2e7638ec20", size = 6724502, upload-time = "2025-11-16T22:51:58.584Z" }, + { url = "https://files.pythonhosted.org/packages/02/c6/7c34b528740512e57ef1b7c8337ab0b4f0bddf34c723b8996c675bc2bc91/numpy-2.3.5-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:900218e456384ea676e24ea6a0417f030a3b07306d29d7ad843957b40a9d8d52", size = 14308962, upload-time = "2025-11-16T22:52:01.698Z" }, + { url = "https://files.pythonhosted.org/packages/80/35/09d433c5262bc32d725bafc619e095b6a6651caf94027a03da624146f655/numpy-2.3.5-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:09a1bea522b25109bf8e6f3027bd810f7c1085c64a0c7ce050c1676ad0ba010b", size = 16655054, upload-time = "2025-11-16T22:52:04.267Z" }, + { url = "https://files.pythonhosted.org/packages/7a/ab/6a7b259703c09a88804fa2430b43d6457b692378f6b74b356155283566ac/numpy-2.3.5-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:04822c00b5fd0323c8166d66c701dc31b7fbd252c100acd708c48f763968d6a3", size = 16091613, upload-time = "2025-11-16T22:52:08.651Z" }, + { url = "https://files.pythonhosted.org/packages/c2/88/330da2071e8771e60d1038166ff9d73f29da37b01ec3eb43cb1427464e10/numpy-2.3.5-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:d6889ec4ec662a1a37eb4b4fb26b6100841804dac55bd9df579e326cdc146227", size = 18591147, upload-time = "2025-11-16T22:52:11.453Z" }, + { url = "https://files.pythonhosted.org/packages/51/41/851c4b4082402d9ea860c3626db5d5df47164a712cb23b54be028b184c1c/numpy-2.3.5-cp314-cp314t-win32.whl", hash = "sha256:93eebbcf1aafdf7e2ddd44c2923e2672e1010bddc014138b229e49725b4d6be5", size = 6479806, upload-time = "2025-11-16T22:52:14.641Z" }, + { url = "https://files.pythonhosted.org/packages/90/30/d48bde1dfd93332fa557cff1972fbc039e055a52021fbef4c2c4b1eefd17/numpy-2.3.5-cp314-cp314t-win_amd64.whl", hash = "sha256:c8a9958e88b65c3b27e22ca2a076311636850b612d6bbfb76e8d156aacde2aaf", size = 13105760, upload-time = "2025-11-16T22:52:17.975Z" }, + { url = "https://files.pythonhosted.org/packages/2d/fd/4b5eb0b3e888d86aee4d198c23acec7d214baaf17ea93c1adec94c9518b9/numpy-2.3.5-cp314-cp314t-win_arm64.whl", hash = "sha256:6203fdf9f3dc5bdaed7319ad8698e685c7a3be10819f41d32a0723e611733b42", size = 10545459, upload-time = "2025-11-16T22:52:20.55Z" }, ] [[package]] @@ -1491,9 +1525,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "sphinx" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/e9/3c/dfccc9e7dee357fb2aa13c3890d952a370dd0ed071e0f7ed62ed0df567c1/numpydoc-1.10.0.tar.gz", hash = "sha256:3f7970f6eee30912260a6b31ac72bba2432830cd6722569ec17ee8d3ef5ffa01", size = 94027, upload_time = "2025-12-02T16:39:12.937Z" } +sdist = { url = "https://files.pythonhosted.org/packages/e9/3c/dfccc9e7dee357fb2aa13c3890d952a370dd0ed071e0f7ed62ed0df567c1/numpydoc-1.10.0.tar.gz", hash = "sha256:3f7970f6eee30912260a6b31ac72bba2432830cd6722569ec17ee8d3ef5ffa01", size = 94027, upload-time = "2025-12-02T16:39:12.937Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/62/5e/3a6a3e90f35cea3853c45e5d5fb9b7192ce4384616f932cf7591298ab6e1/numpydoc-1.10.0-py3-none-any.whl", hash = "sha256:3149da9874af890bcc2a82ef7aae5484e5aa81cb2778f08e3c307ba6d963721b", size = 69255, upload_time = "2025-12-02T16:39:11.561Z" }, + { url = "https://files.pythonhosted.org/packages/62/5e/3a6a3e90f35cea3853c45e5d5fb9b7192ce4384616f932cf7591298ab6e1/numpydoc-1.10.0-py3-none-any.whl", hash = "sha256:3149da9874af890bcc2a82ef7aae5484e5aa81cb2778f08e3c307ba6d963721b", size = 69255, upload-time = "2025-12-02T16:39:11.561Z" }, ] [[package]] @@ -1503,18 +1537,18 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "et-xmlfile" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/3d/f9/88d94a75de065ea32619465d2f77b29a0469500e99012523b91cc4141cd1/openpyxl-3.1.5.tar.gz", hash = "sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050", size = 186464, upload_time = "2024-06-28T14:03:44.161Z" } +sdist = { url = "https://files.pythonhosted.org/packages/3d/f9/88d94a75de065ea32619465d2f77b29a0469500e99012523b91cc4141cd1/openpyxl-3.1.5.tar.gz", hash = "sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050", size = 186464, upload-time = "2024-06-28T14:03:44.161Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c0/da/977ded879c29cbd04de313843e76868e6e13408a94ed6b987245dc7c8506/openpyxl-3.1.5-py2.py3-none-any.whl", hash = "sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2", size = 250910, upload_time = "2024-06-28T14:03:41.161Z" }, + { url = "https://files.pythonhosted.org/packages/c0/da/977ded879c29cbd04de313843e76868e6e13408a94ed6b987245dc7c8506/openpyxl-3.1.5-py2.py3-none-any.whl", hash = "sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2", size = 250910, upload-time = "2024-06-28T14:03:41.161Z" }, ] [[package]] name = "packaging" version = "25.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a1/d4/1fc4078c65507b51b96ca8f8c3ba19e6a61c8253c72794544580a7b6c24d/packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f", size = 165727, upload_time = "2025-04-19T11:48:59.673Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a1/d4/1fc4078c65507b51b96ca8f8c3ba19e6a61c8253c72794544580a7b6c24d/packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f", size = 165727, upload-time = "2025-04-19T11:48:59.673Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/20/12/38679034af332785aac8774540895e234f4d07f7545804097de4b666afd8/packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484", size = 66469, upload_time = "2025-04-19T11:48:57.875Z" }, + { url = "https://files.pythonhosted.org/packages/20/12/38679034af332785aac8774540895e234f4d07f7545804097de4b666afd8/packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484", size = 66469, upload-time = "2025-04-19T11:48:57.875Z" }, ] [[package]] @@ -1527,68 +1561,68 @@ dependencies = [ { 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/9c/fb/231d89e8637c808b997d172b18e9d4a4bc7bf31296196c260526055d1ea0/pandas-2.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d21f6d74eb1725c2efaa71a2bfc661a0689579b58e9c0ca58a739ff0b002b53", size = 11597846, upload_time = "2025-09-29T23:19:48.856Z" }, - { url = "https://files.pythonhosted.org/packages/5c/bd/bf8064d9cfa214294356c2d6702b716d3cf3bb24be59287a6a21e24cae6b/pandas-2.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3fd2f887589c7aa868e02632612ba39acb0b8948faf5cc58f0850e165bd46f35", size = 10729618, upload_time = "2025-09-29T23:39:08.659Z" }, - { url = "https://files.pythonhosted.org/packages/57/56/cf2dbe1a3f5271370669475ead12ce77c61726ffd19a35546e31aa8edf4e/pandas-2.3.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ecaf1e12bdc03c86ad4a7ea848d66c685cb6851d807a26aa245ca3d2017a1908", size = 11737212, upload_time = "2025-09-29T23:19:59.765Z" }, - { url = "https://files.pythonhosted.org/packages/e5/63/cd7d615331b328e287d8233ba9fdf191a9c2d11b6af0c7a59cfcec23de68/pandas-2.3.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b3d11d2fda7eb164ef27ffc14b4fcab16a80e1ce67e9f57e19ec0afaf715ba89", size = 12362693, upload_time = "2025-09-29T23:20:14.098Z" }, - { 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" }, +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/9c/fb/231d89e8637c808b997d172b18e9d4a4bc7bf31296196c260526055d1ea0/pandas-2.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d21f6d74eb1725c2efaa71a2bfc661a0689579b58e9c0ca58a739ff0b002b53", size = 11597846, upload-time = "2025-09-29T23:19:48.856Z" }, + { url = "https://files.pythonhosted.org/packages/5c/bd/bf8064d9cfa214294356c2d6702b716d3cf3bb24be59287a6a21e24cae6b/pandas-2.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3fd2f887589c7aa868e02632612ba39acb0b8948faf5cc58f0850e165bd46f35", size = 10729618, upload-time = "2025-09-29T23:39:08.659Z" }, + { url = "https://files.pythonhosted.org/packages/57/56/cf2dbe1a3f5271370669475ead12ce77c61726ffd19a35546e31aa8edf4e/pandas-2.3.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ecaf1e12bdc03c86ad4a7ea848d66c685cb6851d807a26aa245ca3d2017a1908", size = 11737212, upload-time = "2025-09-29T23:19:59.765Z" }, + { url = "https://files.pythonhosted.org/packages/e5/63/cd7d615331b328e287d8233ba9fdf191a9c2d11b6af0c7a59cfcec23de68/pandas-2.3.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b3d11d2fda7eb164ef27ffc14b4fcab16a80e1ce67e9f57e19ec0afaf715ba89", size = 12362693, upload-time = "2025-09-29T23:20:14.098Z" }, + { 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]] name = "pandocfilters" version = "1.5.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/70/6f/3dd4940bbe001c06a65f88e36bad298bc7a0de5036115639926b0c5c0458/pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e", size = 8454, upload_time = "2024-01-18T20:08:13.726Z" } +sdist = { url = "https://files.pythonhosted.org/packages/70/6f/3dd4940bbe001c06a65f88e36bad298bc7a0de5036115639926b0c5c0458/pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e", size = 8454, upload-time = "2024-01-18T20:08:13.726Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/ef/af/4fbc8cab944db5d21b7e2a5b8e9211a03a79852b1157e2c102fcc61ac440/pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc", size = 8663, upload_time = "2024-01-18T20:08:11.28Z" }, + { url = "https://files.pythonhosted.org/packages/ef/af/4fbc8cab944db5d21b7e2a5b8e9211a03a79852b1157e2c102fcc61ac440/pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc", size = 8663, upload-time = "2024-01-18T20:08:11.28Z" }, ] [[package]] name = "parso" version = "0.8.5" 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/d4/de/53e0bcf53d13e005bd8c92e7855142494f41171b34c2536b86187474184d/parso-0.8.5.tar.gz", hash = "sha256:034d7354a9a018bdce352f48b2a8a450f05e9d6ee85db84764e9b6bd96dafe5a", size = 401205, upload-time = "2025-08-23T15:15:28.028Z" } 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/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" }, ] [[package]] name = "pathspec" version = "0.12.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ca/bc/f35b8446f4531a7cb215605d100cd88b7ac6f44ab3fc94870c120ab3adbf/pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712", size = 51043, upload_time = "2023-12-10T22:30:45Z" } +sdist = { url = "https://files.pythonhosted.org/packages/ca/bc/f35b8446f4531a7cb215605d100cd88b7ac6f44ab3fc94870c120ab3adbf/pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712", size = 51043, upload-time = "2023-12-10T22:30:45Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/cc/20/ff623b09d963f88bfde16306a54e12ee5ea43e9b597108672ff3a408aad6/pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08", size = 31191, upload_time = "2023-12-10T22:30:43.14Z" }, + { url = "https://files.pythonhosted.org/packages/cc/20/ff623b09d963f88bfde16306a54e12ee5ea43e9b597108672ff3a408aad6/pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08", size = 31191, upload-time = "2023-12-10T22:30:43.14Z" }, ] [[package]] @@ -1598,87 +1632,87 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "ptyprocess" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/42/92/cc564bf6381ff43ce1f4d06852fc19a2f11d180f23dc32d9588bee2f149d/pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f", size = 166450, upload_time = "2023-11-25T09:07:26.339Z" } +sdist = { url = "https://files.pythonhosted.org/packages/42/92/cc564bf6381ff43ce1f4d06852fc19a2f11d180f23dc32d9588bee2f149d/pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f", size = 166450, upload-time = "2023-11-25T09:07:26.339Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/9e/c3/059298687310d527a58bb01f3b1965787ee3b40dce76752eda8b44e9a2c5/pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523", size = 63772, upload_time = "2023-11-25T06:56:14.81Z" }, + { url = "https://files.pythonhosted.org/packages/9e/c3/059298687310d527a58bb01f3b1965787ee3b40dce76752eda8b44e9a2c5/pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523", size = 63772, upload-time = "2023-11-25T06:56:14.81Z" }, ] [[package]] name = "pillow" version = "12.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/5a/b0/cace85a1b0c9775a9f8f5d5423c8261c858760e2466c79b2dd184638b056/pillow-12.0.0.tar.gz", hash = "sha256:87d4f8125c9988bfbed67af47dd7a953e2fc7b0cc1e7800ec6d2080d490bb353", size = 47008828, upload_time = "2025-10-15T18:24:14.008Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/2c/90/4fcce2c22caf044e660a198d740e7fbc14395619e3cb1abad12192c0826c/pillow-12.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:53561a4ddc36facb432fae7a9d8afbfaf94795414f5cdc5fc52f28c1dca90371", size = 5249377, upload_time = "2025-10-15T18:22:05.993Z" }, - { url = "https://files.pythonhosted.org/packages/fd/e0/ed960067543d080691d47d6938ebccbf3976a931c9567ab2fbfab983a5dd/pillow-12.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:71db6b4c1653045dacc1585c1b0d184004f0d7e694c7b34ac165ca70c0838082", size = 4650343, upload_time = "2025-10-15T18:22:07.718Z" }, - { url = "https://files.pythonhosted.org/packages/e7/a1/f81fdeddcb99c044bf7d6faa47e12850f13cee0849537a7d27eeab5534d4/pillow-12.0.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2fa5f0b6716fc88f11380b88b31fe591a06c6315e955c096c35715788b339e3f", size = 6232981, upload_time = "2025-10-15T18:22:09.287Z" }, - { url = "https://files.pythonhosted.org/packages/88/e1/9098d3ce341a8750b55b0e00c03f1630d6178f38ac191c81c97a3b047b44/pillow-12.0.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:82240051c6ca513c616f7f9da06e871f61bfd7805f566275841af15015b8f98d", size = 8041399, upload_time = "2025-10-15T18:22:10.872Z" }, - { url = "https://files.pythonhosted.org/packages/a7/62/a22e8d3b602ae8cc01446d0c57a54e982737f44b6f2e1e019a925143771d/pillow-12.0.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:55f818bd74fe2f11d4d7cbc65880a843c4075e0ac7226bc1a23261dbea531953", size = 6347740, upload_time = "2025-10-15T18:22:12.769Z" }, - { url = "https://files.pythonhosted.org/packages/4f/87/424511bdcd02c8d7acf9f65caa09f291a519b16bd83c3fb3374b3d4ae951/pillow-12.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b87843e225e74576437fd5b6a4c2205d422754f84a06942cfaf1dc32243e45a8", size = 7040201, upload_time = "2025-10-15T18:22:14.813Z" }, - { url = "https://files.pythonhosted.org/packages/dc/4d/435c8ac688c54d11755aedfdd9f29c9eeddf68d150fe42d1d3dbd2365149/pillow-12.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c607c90ba67533e1b2355b821fef6764d1dd2cbe26b8c1005ae84f7aea25ff79", size = 6462334, upload_time = "2025-10-15T18:22:16.375Z" }, - { url = "https://files.pythonhosted.org/packages/2b/f2/ad34167a8059a59b8ad10bc5c72d4d9b35acc6b7c0877af8ac885b5f2044/pillow-12.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:21f241bdd5080a15bc86d3466a9f6074a9c2c2b314100dd896ac81ee6db2f1ba", size = 7134162, upload_time = "2025-10-15T18:22:17.996Z" }, - { url = "https://files.pythonhosted.org/packages/0c/b1/a7391df6adacf0a5c2cf6ac1cf1fcc1369e7d439d28f637a847f8803beb3/pillow-12.0.0-cp312-cp312-win32.whl", hash = "sha256:dd333073e0cacdc3089525c7df7d39b211bcdf31fc2824e49d01c6b6187b07d0", size = 6298769, upload_time = "2025-10-15T18:22:19.923Z" }, - { url = "https://files.pythonhosted.org/packages/a2/0b/d87733741526541c909bbf159e338dcace4f982daac6e5a8d6be225ca32d/pillow-12.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:9fe611163f6303d1619bbcb653540a4d60f9e55e622d60a3108be0d5b441017a", size = 7001107, upload_time = "2025-10-15T18:22:21.644Z" }, - { url = "https://files.pythonhosted.org/packages/bc/96/aaa61ce33cc98421fb6088af2a03be4157b1e7e0e87087c888e2370a7f45/pillow-12.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:7dfb439562f234f7d57b1ac6bc8fe7f838a4bd49c79230e0f6a1da93e82f1fad", size = 2436012, upload_time = "2025-10-15T18:22:23.621Z" }, - { url = "https://files.pythonhosted.org/packages/62/f2/de993bb2d21b33a98d031ecf6a978e4b61da207bef02f7b43093774c480d/pillow-12.0.0-cp313-cp313-ios_13_0_arm64_iphoneos.whl", hash = "sha256:0869154a2d0546545cde61d1789a6524319fc1897d9ee31218eae7a60ccc5643", size = 4045493, upload_time = "2025-10-15T18:22:25.758Z" }, - { url = "https://files.pythonhosted.org/packages/0e/b6/bc8d0c4c9f6f111a783d045310945deb769b806d7574764234ffd50bc5ea/pillow-12.0.0-cp313-cp313-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:a7921c5a6d31b3d756ec980f2f47c0cfdbce0fc48c22a39347a895f41f4a6ea4", size = 4120461, upload_time = "2025-10-15T18:22:27.286Z" }, - { url = "https://files.pythonhosted.org/packages/5d/57/d60d343709366a353dc56adb4ee1e7d8a2cc34e3fbc22905f4167cfec119/pillow-12.0.0-cp313-cp313-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:1ee80a59f6ce048ae13cda1abf7fbd2a34ab9ee7d401c46be3ca685d1999a399", size = 3576912, upload_time = "2025-10-15T18:22:28.751Z" }, - { url = "https://files.pythonhosted.org/packages/a4/a4/a0a31467e3f83b94d37568294b01d22b43ae3c5d85f2811769b9c66389dd/pillow-12.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c50f36a62a22d350c96e49ad02d0da41dbd17ddc2e29750dbdba4323f85eb4a5", size = 5249132, upload_time = "2025-10-15T18:22:30.641Z" }, - { url = "https://files.pythonhosted.org/packages/83/06/48eab21dd561de2914242711434c0c0eb992ed08ff3f6107a5f44527f5e9/pillow-12.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5193fde9a5f23c331ea26d0cf171fbf67e3f247585f50c08b3e205c7aeb4589b", size = 4650099, upload_time = "2025-10-15T18:22:32.73Z" }, - { url = "https://files.pythonhosted.org/packages/fc/bd/69ed99fd46a8dba7c1887156d3572fe4484e3f031405fcc5a92e31c04035/pillow-12.0.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:bde737cff1a975b70652b62d626f7785e0480918dece11e8fef3c0cf057351c3", size = 6230808, upload_time = "2025-10-15T18:22:34.337Z" }, - { url = "https://files.pythonhosted.org/packages/ea/94/8fad659bcdbf86ed70099cb60ae40be6acca434bbc8c4c0d4ef356d7e0de/pillow-12.0.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a6597ff2b61d121172f5844b53f21467f7082f5fb385a9a29c01414463f93b07", size = 8037804, upload_time = "2025-10-15T18:22:36.402Z" }, - { url = "https://files.pythonhosted.org/packages/20/39/c685d05c06deecfd4e2d1950e9a908aa2ca8bc4e6c3b12d93b9cafbd7837/pillow-12.0.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0b817e7035ea7f6b942c13aa03bb554fc44fea70838ea21f8eb31c638326584e", size = 6345553, upload_time = "2025-10-15T18:22:38.066Z" }, - { url = "https://files.pythonhosted.org/packages/38/57/755dbd06530a27a5ed74f8cb0a7a44a21722ebf318edbe67ddbd7fb28f88/pillow-12.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f4f1231b7dec408e8670264ce63e9c71409d9583dd21d32c163e25213ee2a344", size = 7037729, upload_time = "2025-10-15T18:22:39.769Z" }, - { url = "https://files.pythonhosted.org/packages/ca/b6/7e94f4c41d238615674d06ed677c14883103dce1c52e4af16f000338cfd7/pillow-12.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:6e51b71417049ad6ab14c49608b4a24d8fb3fe605e5dfabfe523b58064dc3d27", size = 6459789, upload_time = "2025-10-15T18:22:41.437Z" }, - { url = "https://files.pythonhosted.org/packages/9c/14/4448bb0b5e0f22dd865290536d20ec8a23b64e2d04280b89139f09a36bb6/pillow-12.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:d120c38a42c234dc9a8c5de7ceaaf899cf33561956acb4941653f8bdc657aa79", size = 7130917, upload_time = "2025-10-15T18:22:43.152Z" }, - { url = "https://files.pythonhosted.org/packages/dd/ca/16c6926cc1c015845745d5c16c9358e24282f1e588237a4c36d2b30f182f/pillow-12.0.0-cp313-cp313-win32.whl", hash = "sha256:4cc6b3b2efff105c6a1656cfe59da4fdde2cda9af1c5e0b58529b24525d0a098", size = 6302391, upload_time = "2025-10-15T18:22:44.753Z" }, - { url = "https://files.pythonhosted.org/packages/6d/2a/dd43dcfd6dae9b6a49ee28a8eedb98c7d5ff2de94a5d834565164667b97b/pillow-12.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:4cf7fed4b4580601c4345ceb5d4cbf5a980d030fd5ad07c4d2ec589f95f09905", size = 7007477, upload_time = "2025-10-15T18:22:46.838Z" }, - { url = "https://files.pythonhosted.org/packages/77/f0/72ea067f4b5ae5ead653053212af05ce3705807906ba3f3e8f58ddf617e6/pillow-12.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:9f0b04c6b8584c2c193babcccc908b38ed29524b29dd464bc8801bf10d746a3a", size = 2435918, upload_time = "2025-10-15T18:22:48.399Z" }, - { url = "https://files.pythonhosted.org/packages/f5/5e/9046b423735c21f0487ea6cb5b10f89ea8f8dfbe32576fe052b5ba9d4e5b/pillow-12.0.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:7fa22993bac7b77b78cae22bad1e2a987ddf0d9015c63358032f84a53f23cdc3", size = 5251406, upload_time = "2025-10-15T18:22:49.905Z" }, - { url = "https://files.pythonhosted.org/packages/12/66/982ceebcdb13c97270ef7a56c3969635b4ee7cd45227fa707c94719229c5/pillow-12.0.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f135c702ac42262573fe9714dfe99c944b4ba307af5eb507abef1667e2cbbced", size = 4653218, upload_time = "2025-10-15T18:22:51.587Z" }, - { url = "https://files.pythonhosted.org/packages/16/b3/81e625524688c31859450119bf12674619429cab3119eec0e30a7a1029cb/pillow-12.0.0-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:c85de1136429c524e55cfa4e033b4a7940ac5c8ee4d9401cc2d1bf48154bbc7b", size = 6266564, upload_time = "2025-10-15T18:22:53.215Z" }, - { url = "https://files.pythonhosted.org/packages/98/59/dfb38f2a41240d2408096e1a76c671d0a105a4a8471b1871c6902719450c/pillow-12.0.0-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:38df9b4bfd3db902c9c2bd369bcacaf9d935b2fff73709429d95cc41554f7b3d", size = 8069260, upload_time = "2025-10-15T18:22:54.933Z" }, - { url = "https://files.pythonhosted.org/packages/dc/3d/378dbea5cd1874b94c312425ca77b0f47776c78e0df2df751b820c8c1d6c/pillow-12.0.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7d87ef5795da03d742bf49439f9ca4d027cde49c82c5371ba52464aee266699a", size = 6379248, upload_time = "2025-10-15T18:22:56.605Z" }, - { url = "https://files.pythonhosted.org/packages/84/b0/d525ef47d71590f1621510327acec75ae58c721dc071b17d8d652ca494d8/pillow-12.0.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:aff9e4d82d082ff9513bdd6acd4f5bd359f5b2c870907d2b0a9c5e10d40c88fe", size = 7066043, upload_time = "2025-10-15T18:22:58.53Z" }, - { url = "https://files.pythonhosted.org/packages/61/2c/aced60e9cf9d0cde341d54bf7932c9ffc33ddb4a1595798b3a5150c7ec4e/pillow-12.0.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:8d8ca2b210ada074d57fcee40c30446c9562e542fc46aedc19baf758a93532ee", size = 6490915, upload_time = "2025-10-15T18:23:00.582Z" }, - { url = "https://files.pythonhosted.org/packages/ef/26/69dcb9b91f4e59f8f34b2332a4a0a951b44f547c4ed39d3e4dcfcff48f89/pillow-12.0.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:99a7f72fb6249302aa62245680754862a44179b545ded638cf1fef59befb57ef", size = 7157998, upload_time = "2025-10-15T18:23:02.627Z" }, - { url = "https://files.pythonhosted.org/packages/61/2b/726235842220ca95fa441ddf55dd2382b52ab5b8d9c0596fe6b3f23dafe8/pillow-12.0.0-cp313-cp313t-win32.whl", hash = "sha256:4078242472387600b2ce8d93ade8899c12bf33fa89e55ec89fe126e9d6d5d9e9", size = 6306201, upload_time = "2025-10-15T18:23:04.709Z" }, - { url = "https://files.pythonhosted.org/packages/c0/3d/2afaf4e840b2df71344ababf2f8edd75a705ce500e5dc1e7227808312ae1/pillow-12.0.0-cp313-cp313t-win_amd64.whl", hash = "sha256:2c54c1a783d6d60595d3514f0efe9b37c8808746a66920315bfd34a938d7994b", size = 7013165, upload_time = "2025-10-15T18:23:06.46Z" }, - { url = "https://files.pythonhosted.org/packages/6f/75/3fa09aa5cf6ed04bee3fa575798ddf1ce0bace8edb47249c798077a81f7f/pillow-12.0.0-cp313-cp313t-win_arm64.whl", hash = "sha256:26d9f7d2b604cd23aba3e9faf795787456ac25634d82cd060556998e39c6fa47", size = 2437834, upload_time = "2025-10-15T18:23:08.194Z" }, - { url = "https://files.pythonhosted.org/packages/54/2a/9a8c6ba2c2c07b71bec92cf63e03370ca5e5f5c5b119b742bcc0cde3f9c5/pillow-12.0.0-cp314-cp314-ios_13_0_arm64_iphoneos.whl", hash = "sha256:beeae3f27f62308f1ddbcfb0690bf44b10732f2ef43758f169d5e9303165d3f9", size = 4045531, upload_time = "2025-10-15T18:23:10.121Z" }, - { url = "https://files.pythonhosted.org/packages/84/54/836fdbf1bfb3d66a59f0189ff0b9f5f666cee09c6188309300df04ad71fa/pillow-12.0.0-cp314-cp314-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:d4827615da15cd59784ce39d3388275ec093ae3ee8d7f0c089b76fa87af756c2", size = 4120554, upload_time = "2025-10-15T18:23:12.14Z" }, - { url = "https://files.pythonhosted.org/packages/0d/cd/16aec9f0da4793e98e6b54778a5fbce4f375c6646fe662e80600b8797379/pillow-12.0.0-cp314-cp314-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:3e42edad50b6909089750e65c91aa09aaf1e0a71310d383f11321b27c224ed8a", size = 3576812, upload_time = "2025-10-15T18:23:13.962Z" }, - { url = "https://files.pythonhosted.org/packages/f6/b7/13957fda356dc46339298b351cae0d327704986337c3c69bb54628c88155/pillow-12.0.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:e5d8efac84c9afcb40914ab49ba063d94f5dbdf5066db4482c66a992f47a3a3b", size = 5252689, upload_time = "2025-10-15T18:23:15.562Z" }, - { url = "https://files.pythonhosted.org/packages/fc/f5/eae31a306341d8f331f43edb2e9122c7661b975433de5e447939ae61c5da/pillow-12.0.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:266cd5f2b63ff316d5a1bba46268e603c9caf5606d44f38c2873c380950576ad", size = 4650186, upload_time = "2025-10-15T18:23:17.379Z" }, - { url = "https://files.pythonhosted.org/packages/86/62/2a88339aa40c4c77e79108facbd307d6091e2c0eb5b8d3cf4977cfca2fe6/pillow-12.0.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:58eea5ebe51504057dd95c5b77d21700b77615ab0243d8152793dc00eb4faf01", size = 6230308, upload_time = "2025-10-15T18:23:18.971Z" }, - { url = "https://files.pythonhosted.org/packages/c7/33/5425a8992bcb32d1cb9fa3dd39a89e613d09a22f2c8083b7bf43c455f760/pillow-12.0.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f13711b1a5ba512d647a0e4ba79280d3a9a045aaf7e0cc6fbe96b91d4cdf6b0c", size = 8039222, upload_time = "2025-10-15T18:23:20.909Z" }, - { url = "https://files.pythonhosted.org/packages/d8/61/3f5d3b35c5728f37953d3eec5b5f3e77111949523bd2dd7f31a851e50690/pillow-12.0.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6846bd2d116ff42cba6b646edf5bf61d37e5cbd256425fa089fee4ff5c07a99e", size = 6346657, upload_time = "2025-10-15T18:23:23.077Z" }, - { url = "https://files.pythonhosted.org/packages/3a/be/ee90a3d79271227e0f0a33c453531efd6ed14b2e708596ba5dd9be948da3/pillow-12.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c98fa880d695de164b4135a52fd2e9cd7b7c90a9d8ac5e9e443a24a95ef9248e", size = 7038482, upload_time = "2025-10-15T18:23:25.005Z" }, - { url = "https://files.pythonhosted.org/packages/44/34/a16b6a4d1ad727de390e9bd9f19f5f669e079e5826ec0f329010ddea492f/pillow-12.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:fa3ed2a29a9e9d2d488b4da81dcb54720ac3104a20bf0bd273f1e4648aff5af9", size = 6461416, upload_time = "2025-10-15T18:23:27.009Z" }, - { url = "https://files.pythonhosted.org/packages/b6/39/1aa5850d2ade7d7ba9f54e4e4c17077244ff7a2d9e25998c38a29749eb3f/pillow-12.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:d034140032870024e6b9892c692fe2968493790dd57208b2c37e3fb35f6df3ab", size = 7131584, upload_time = "2025-10-15T18:23:29.752Z" }, - { url = "https://files.pythonhosted.org/packages/bf/db/4fae862f8fad0167073a7733973bfa955f47e2cac3dc3e3e6257d10fab4a/pillow-12.0.0-cp314-cp314-win32.whl", hash = "sha256:1b1b133e6e16105f524a8dec491e0586d072948ce15c9b914e41cdadd209052b", size = 6400621, upload_time = "2025-10-15T18:23:32.06Z" }, - { url = "https://files.pythonhosted.org/packages/2b/24/b350c31543fb0107ab2599464d7e28e6f856027aadda995022e695313d94/pillow-12.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:8dc232e39d409036af549c86f24aed8273a40ffa459981146829a324e0848b4b", size = 7142916, upload_time = "2025-10-15T18:23:34.71Z" }, - { url = "https://files.pythonhosted.org/packages/0f/9b/0ba5a6fd9351793996ef7487c4fdbde8d3f5f75dbedc093bb598648fddf0/pillow-12.0.0-cp314-cp314-win_arm64.whl", hash = "sha256:d52610d51e265a51518692045e372a4c363056130d922a7351429ac9f27e70b0", size = 2523836, upload_time = "2025-10-15T18:23:36.967Z" }, - { url = "https://files.pythonhosted.org/packages/f5/7a/ceee0840aebc579af529b523d530840338ecf63992395842e54edc805987/pillow-12.0.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:1979f4566bb96c1e50a62d9831e2ea2d1211761e5662afc545fa766f996632f6", size = 5255092, upload_time = "2025-10-15T18:23:38.573Z" }, - { url = "https://files.pythonhosted.org/packages/44/76/20776057b4bfd1aef4eeca992ebde0f53a4dce874f3ae693d0ec90a4f79b/pillow-12.0.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:b2e4b27a6e15b04832fe9bf292b94b5ca156016bbc1ea9c2c20098a0320d6cf6", size = 4653158, upload_time = "2025-10-15T18:23:40.238Z" }, - { url = "https://files.pythonhosted.org/packages/82/3f/d9ff92ace07be8836b4e7e87e6a4c7a8318d47c2f1463ffcf121fc57d9cb/pillow-12.0.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:fb3096c30df99fd01c7bf8e544f392103d0795b9f98ba71a8054bcbf56b255f1", size = 6267882, upload_time = "2025-10-15T18:23:42.434Z" }, - { url = "https://files.pythonhosted.org/packages/9f/7a/4f7ff87f00d3ad33ba21af78bfcd2f032107710baf8280e3722ceec28cda/pillow-12.0.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7438839e9e053ef79f7112c881cef684013855016f928b168b81ed5835f3e75e", size = 8071001, upload_time = "2025-10-15T18:23:44.29Z" }, - { url = "https://files.pythonhosted.org/packages/75/87/fcea108944a52dad8cca0715ae6247e271eb80459364a98518f1e4f480c1/pillow-12.0.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5d5c411a8eaa2299322b647cd932586b1427367fd3184ffbb8f7a219ea2041ca", size = 6380146, upload_time = "2025-10-15T18:23:46.065Z" }, - { url = "https://files.pythonhosted.org/packages/91/52/0d31b5e571ef5fd111d2978b84603fce26aba1b6092f28e941cb46570745/pillow-12.0.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d7e091d464ac59d2c7ad8e7e08105eaf9dafbc3883fd7265ffccc2baad6ac925", size = 7067344, upload_time = "2025-10-15T18:23:47.898Z" }, - { url = "https://files.pythonhosted.org/packages/7b/f4/2dd3d721f875f928d48e83bb30a434dee75a2531bca839bb996bb0aa5a91/pillow-12.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:792a2c0be4dcc18af9d4a2dfd8a11a17d5e25274a1062b0ec1c2d79c76f3e7f8", size = 6491864, upload_time = "2025-10-15T18:23:49.607Z" }, - { url = "https://files.pythonhosted.org/packages/30/4b/667dfcf3d61fc309ba5a15b141845cece5915e39b99c1ceab0f34bf1d124/pillow-12.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:afbefa430092f71a9593a99ab6a4e7538bc9eabbf7bf94f91510d3503943edc4", size = 7158911, upload_time = "2025-10-15T18:23:51.351Z" }, - { url = "https://files.pythonhosted.org/packages/a2/2f/16cabcc6426c32218ace36bf0d55955e813f2958afddbf1d391849fee9d1/pillow-12.0.0-cp314-cp314t-win32.whl", hash = "sha256:3830c769decf88f1289680a59d4f4c46c72573446352e2befec9a8512104fa52", size = 6408045, upload_time = "2025-10-15T18:23:53.177Z" }, - { url = "https://files.pythonhosted.org/packages/35/73/e29aa0c9c666cf787628d3f0dcf379f4791fba79f4936d02f8b37165bdf8/pillow-12.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:905b0365b210c73afb0ebe9101a32572152dfd1c144c7e28968a331b9217b94a", size = 7148282, upload_time = "2025-10-15T18:23:55.316Z" }, - { url = "https://files.pythonhosted.org/packages/c1/70/6b41bdcddf541b437bbb9f47f94d2db5d9ddef6c37ccab8c9107743748a4/pillow-12.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:99353a06902c2e43b43e8ff74ee65a7d90307d82370604746738a1e0661ccca7", size = 2525630, upload_time = "2025-10-15T18:23:57.149Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/5a/b0/cace85a1b0c9775a9f8f5d5423c8261c858760e2466c79b2dd184638b056/pillow-12.0.0.tar.gz", hash = "sha256:87d4f8125c9988bfbed67af47dd7a953e2fc7b0cc1e7800ec6d2080d490bb353", size = 47008828, upload-time = "2025-10-15T18:24:14.008Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2c/90/4fcce2c22caf044e660a198d740e7fbc14395619e3cb1abad12192c0826c/pillow-12.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:53561a4ddc36facb432fae7a9d8afbfaf94795414f5cdc5fc52f28c1dca90371", size = 5249377, upload-time = "2025-10-15T18:22:05.993Z" }, + { url = "https://files.pythonhosted.org/packages/fd/e0/ed960067543d080691d47d6938ebccbf3976a931c9567ab2fbfab983a5dd/pillow-12.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:71db6b4c1653045dacc1585c1b0d184004f0d7e694c7b34ac165ca70c0838082", size = 4650343, upload-time = "2025-10-15T18:22:07.718Z" }, + { url = "https://files.pythonhosted.org/packages/e7/a1/f81fdeddcb99c044bf7d6faa47e12850f13cee0849537a7d27eeab5534d4/pillow-12.0.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2fa5f0b6716fc88f11380b88b31fe591a06c6315e955c096c35715788b339e3f", size = 6232981, upload-time = "2025-10-15T18:22:09.287Z" }, + { url = "https://files.pythonhosted.org/packages/88/e1/9098d3ce341a8750b55b0e00c03f1630d6178f38ac191c81c97a3b047b44/pillow-12.0.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:82240051c6ca513c616f7f9da06e871f61bfd7805f566275841af15015b8f98d", size = 8041399, upload-time = "2025-10-15T18:22:10.872Z" }, + { url = "https://files.pythonhosted.org/packages/a7/62/a22e8d3b602ae8cc01446d0c57a54e982737f44b6f2e1e019a925143771d/pillow-12.0.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:55f818bd74fe2f11d4d7cbc65880a843c4075e0ac7226bc1a23261dbea531953", size = 6347740, upload-time = "2025-10-15T18:22:12.769Z" }, + { url = "https://files.pythonhosted.org/packages/4f/87/424511bdcd02c8d7acf9f65caa09f291a519b16bd83c3fb3374b3d4ae951/pillow-12.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b87843e225e74576437fd5b6a4c2205d422754f84a06942cfaf1dc32243e45a8", size = 7040201, upload-time = "2025-10-15T18:22:14.813Z" }, + { url = "https://files.pythonhosted.org/packages/dc/4d/435c8ac688c54d11755aedfdd9f29c9eeddf68d150fe42d1d3dbd2365149/pillow-12.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c607c90ba67533e1b2355b821fef6764d1dd2cbe26b8c1005ae84f7aea25ff79", size = 6462334, upload-time = "2025-10-15T18:22:16.375Z" }, + { url = "https://files.pythonhosted.org/packages/2b/f2/ad34167a8059a59b8ad10bc5c72d4d9b35acc6b7c0877af8ac885b5f2044/pillow-12.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:21f241bdd5080a15bc86d3466a9f6074a9c2c2b314100dd896ac81ee6db2f1ba", size = 7134162, upload-time = "2025-10-15T18:22:17.996Z" }, + { url = "https://files.pythonhosted.org/packages/0c/b1/a7391df6adacf0a5c2cf6ac1cf1fcc1369e7d439d28f637a847f8803beb3/pillow-12.0.0-cp312-cp312-win32.whl", hash = "sha256:dd333073e0cacdc3089525c7df7d39b211bcdf31fc2824e49d01c6b6187b07d0", size = 6298769, upload-time = "2025-10-15T18:22:19.923Z" }, + { url = "https://files.pythonhosted.org/packages/a2/0b/d87733741526541c909bbf159e338dcace4f982daac6e5a8d6be225ca32d/pillow-12.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:9fe611163f6303d1619bbcb653540a4d60f9e55e622d60a3108be0d5b441017a", size = 7001107, upload-time = "2025-10-15T18:22:21.644Z" }, + { url = "https://files.pythonhosted.org/packages/bc/96/aaa61ce33cc98421fb6088af2a03be4157b1e7e0e87087c888e2370a7f45/pillow-12.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:7dfb439562f234f7d57b1ac6bc8fe7f838a4bd49c79230e0f6a1da93e82f1fad", size = 2436012, upload-time = "2025-10-15T18:22:23.621Z" }, + { url = "https://files.pythonhosted.org/packages/62/f2/de993bb2d21b33a98d031ecf6a978e4b61da207bef02f7b43093774c480d/pillow-12.0.0-cp313-cp313-ios_13_0_arm64_iphoneos.whl", hash = "sha256:0869154a2d0546545cde61d1789a6524319fc1897d9ee31218eae7a60ccc5643", size = 4045493, upload-time = "2025-10-15T18:22:25.758Z" }, + { url = "https://files.pythonhosted.org/packages/0e/b6/bc8d0c4c9f6f111a783d045310945deb769b806d7574764234ffd50bc5ea/pillow-12.0.0-cp313-cp313-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:a7921c5a6d31b3d756ec980f2f47c0cfdbce0fc48c22a39347a895f41f4a6ea4", size = 4120461, upload-time = "2025-10-15T18:22:27.286Z" }, + { url = "https://files.pythonhosted.org/packages/5d/57/d60d343709366a353dc56adb4ee1e7d8a2cc34e3fbc22905f4167cfec119/pillow-12.0.0-cp313-cp313-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:1ee80a59f6ce048ae13cda1abf7fbd2a34ab9ee7d401c46be3ca685d1999a399", size = 3576912, upload-time = "2025-10-15T18:22:28.751Z" }, + { url = "https://files.pythonhosted.org/packages/a4/a4/a0a31467e3f83b94d37568294b01d22b43ae3c5d85f2811769b9c66389dd/pillow-12.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c50f36a62a22d350c96e49ad02d0da41dbd17ddc2e29750dbdba4323f85eb4a5", size = 5249132, upload-time = "2025-10-15T18:22:30.641Z" }, + { url = "https://files.pythonhosted.org/packages/83/06/48eab21dd561de2914242711434c0c0eb992ed08ff3f6107a5f44527f5e9/pillow-12.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5193fde9a5f23c331ea26d0cf171fbf67e3f247585f50c08b3e205c7aeb4589b", size = 4650099, upload-time = "2025-10-15T18:22:32.73Z" }, + { url = "https://files.pythonhosted.org/packages/fc/bd/69ed99fd46a8dba7c1887156d3572fe4484e3f031405fcc5a92e31c04035/pillow-12.0.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:bde737cff1a975b70652b62d626f7785e0480918dece11e8fef3c0cf057351c3", size = 6230808, upload-time = "2025-10-15T18:22:34.337Z" }, + { url = "https://files.pythonhosted.org/packages/ea/94/8fad659bcdbf86ed70099cb60ae40be6acca434bbc8c4c0d4ef356d7e0de/pillow-12.0.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a6597ff2b61d121172f5844b53f21467f7082f5fb385a9a29c01414463f93b07", size = 8037804, upload-time = "2025-10-15T18:22:36.402Z" }, + { url = "https://files.pythonhosted.org/packages/20/39/c685d05c06deecfd4e2d1950e9a908aa2ca8bc4e6c3b12d93b9cafbd7837/pillow-12.0.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0b817e7035ea7f6b942c13aa03bb554fc44fea70838ea21f8eb31c638326584e", size = 6345553, upload-time = "2025-10-15T18:22:38.066Z" }, + { url = "https://files.pythonhosted.org/packages/38/57/755dbd06530a27a5ed74f8cb0a7a44a21722ebf318edbe67ddbd7fb28f88/pillow-12.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f4f1231b7dec408e8670264ce63e9c71409d9583dd21d32c163e25213ee2a344", size = 7037729, upload-time = "2025-10-15T18:22:39.769Z" }, + { url = "https://files.pythonhosted.org/packages/ca/b6/7e94f4c41d238615674d06ed677c14883103dce1c52e4af16f000338cfd7/pillow-12.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:6e51b71417049ad6ab14c49608b4a24d8fb3fe605e5dfabfe523b58064dc3d27", size = 6459789, upload-time = "2025-10-15T18:22:41.437Z" }, + { url = "https://files.pythonhosted.org/packages/9c/14/4448bb0b5e0f22dd865290536d20ec8a23b64e2d04280b89139f09a36bb6/pillow-12.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:d120c38a42c234dc9a8c5de7ceaaf899cf33561956acb4941653f8bdc657aa79", size = 7130917, upload-time = "2025-10-15T18:22:43.152Z" }, + { url = "https://files.pythonhosted.org/packages/dd/ca/16c6926cc1c015845745d5c16c9358e24282f1e588237a4c36d2b30f182f/pillow-12.0.0-cp313-cp313-win32.whl", hash = "sha256:4cc6b3b2efff105c6a1656cfe59da4fdde2cda9af1c5e0b58529b24525d0a098", size = 6302391, upload-time = "2025-10-15T18:22:44.753Z" }, + { url = "https://files.pythonhosted.org/packages/6d/2a/dd43dcfd6dae9b6a49ee28a8eedb98c7d5ff2de94a5d834565164667b97b/pillow-12.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:4cf7fed4b4580601c4345ceb5d4cbf5a980d030fd5ad07c4d2ec589f95f09905", size = 7007477, upload-time = "2025-10-15T18:22:46.838Z" }, + { url = "https://files.pythonhosted.org/packages/77/f0/72ea067f4b5ae5ead653053212af05ce3705807906ba3f3e8f58ddf617e6/pillow-12.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:9f0b04c6b8584c2c193babcccc908b38ed29524b29dd464bc8801bf10d746a3a", size = 2435918, upload-time = "2025-10-15T18:22:48.399Z" }, + { url = "https://files.pythonhosted.org/packages/f5/5e/9046b423735c21f0487ea6cb5b10f89ea8f8dfbe32576fe052b5ba9d4e5b/pillow-12.0.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:7fa22993bac7b77b78cae22bad1e2a987ddf0d9015c63358032f84a53f23cdc3", size = 5251406, upload-time = "2025-10-15T18:22:49.905Z" }, + { url = "https://files.pythonhosted.org/packages/12/66/982ceebcdb13c97270ef7a56c3969635b4ee7cd45227fa707c94719229c5/pillow-12.0.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f135c702ac42262573fe9714dfe99c944b4ba307af5eb507abef1667e2cbbced", size = 4653218, upload-time = "2025-10-15T18:22:51.587Z" }, + { url = "https://files.pythonhosted.org/packages/16/b3/81e625524688c31859450119bf12674619429cab3119eec0e30a7a1029cb/pillow-12.0.0-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:c85de1136429c524e55cfa4e033b4a7940ac5c8ee4d9401cc2d1bf48154bbc7b", size = 6266564, upload-time = "2025-10-15T18:22:53.215Z" }, + { url = "https://files.pythonhosted.org/packages/98/59/dfb38f2a41240d2408096e1a76c671d0a105a4a8471b1871c6902719450c/pillow-12.0.0-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:38df9b4bfd3db902c9c2bd369bcacaf9d935b2fff73709429d95cc41554f7b3d", size = 8069260, upload-time = "2025-10-15T18:22:54.933Z" }, + { url = "https://files.pythonhosted.org/packages/dc/3d/378dbea5cd1874b94c312425ca77b0f47776c78e0df2df751b820c8c1d6c/pillow-12.0.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7d87ef5795da03d742bf49439f9ca4d027cde49c82c5371ba52464aee266699a", size = 6379248, upload-time = "2025-10-15T18:22:56.605Z" }, + { url = "https://files.pythonhosted.org/packages/84/b0/d525ef47d71590f1621510327acec75ae58c721dc071b17d8d652ca494d8/pillow-12.0.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:aff9e4d82d082ff9513bdd6acd4f5bd359f5b2c870907d2b0a9c5e10d40c88fe", size = 7066043, upload-time = "2025-10-15T18:22:58.53Z" }, + { url = "https://files.pythonhosted.org/packages/61/2c/aced60e9cf9d0cde341d54bf7932c9ffc33ddb4a1595798b3a5150c7ec4e/pillow-12.0.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:8d8ca2b210ada074d57fcee40c30446c9562e542fc46aedc19baf758a93532ee", size = 6490915, upload-time = "2025-10-15T18:23:00.582Z" }, + { url = "https://files.pythonhosted.org/packages/ef/26/69dcb9b91f4e59f8f34b2332a4a0a951b44f547c4ed39d3e4dcfcff48f89/pillow-12.0.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:99a7f72fb6249302aa62245680754862a44179b545ded638cf1fef59befb57ef", size = 7157998, upload-time = "2025-10-15T18:23:02.627Z" }, + { url = "https://files.pythonhosted.org/packages/61/2b/726235842220ca95fa441ddf55dd2382b52ab5b8d9c0596fe6b3f23dafe8/pillow-12.0.0-cp313-cp313t-win32.whl", hash = "sha256:4078242472387600b2ce8d93ade8899c12bf33fa89e55ec89fe126e9d6d5d9e9", size = 6306201, upload-time = "2025-10-15T18:23:04.709Z" }, + { url = "https://files.pythonhosted.org/packages/c0/3d/2afaf4e840b2df71344ababf2f8edd75a705ce500e5dc1e7227808312ae1/pillow-12.0.0-cp313-cp313t-win_amd64.whl", hash = "sha256:2c54c1a783d6d60595d3514f0efe9b37c8808746a66920315bfd34a938d7994b", size = 7013165, upload-time = "2025-10-15T18:23:06.46Z" }, + { url = "https://files.pythonhosted.org/packages/6f/75/3fa09aa5cf6ed04bee3fa575798ddf1ce0bace8edb47249c798077a81f7f/pillow-12.0.0-cp313-cp313t-win_arm64.whl", hash = "sha256:26d9f7d2b604cd23aba3e9faf795787456ac25634d82cd060556998e39c6fa47", size = 2437834, upload-time = "2025-10-15T18:23:08.194Z" }, + { url = "https://files.pythonhosted.org/packages/54/2a/9a8c6ba2c2c07b71bec92cf63e03370ca5e5f5c5b119b742bcc0cde3f9c5/pillow-12.0.0-cp314-cp314-ios_13_0_arm64_iphoneos.whl", hash = "sha256:beeae3f27f62308f1ddbcfb0690bf44b10732f2ef43758f169d5e9303165d3f9", size = 4045531, upload-time = "2025-10-15T18:23:10.121Z" }, + { url = "https://files.pythonhosted.org/packages/84/54/836fdbf1bfb3d66a59f0189ff0b9f5f666cee09c6188309300df04ad71fa/pillow-12.0.0-cp314-cp314-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:d4827615da15cd59784ce39d3388275ec093ae3ee8d7f0c089b76fa87af756c2", size = 4120554, upload-time = "2025-10-15T18:23:12.14Z" }, + { url = "https://files.pythonhosted.org/packages/0d/cd/16aec9f0da4793e98e6b54778a5fbce4f375c6646fe662e80600b8797379/pillow-12.0.0-cp314-cp314-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:3e42edad50b6909089750e65c91aa09aaf1e0a71310d383f11321b27c224ed8a", size = 3576812, upload-time = "2025-10-15T18:23:13.962Z" }, + { url = "https://files.pythonhosted.org/packages/f6/b7/13957fda356dc46339298b351cae0d327704986337c3c69bb54628c88155/pillow-12.0.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:e5d8efac84c9afcb40914ab49ba063d94f5dbdf5066db4482c66a992f47a3a3b", size = 5252689, upload-time = "2025-10-15T18:23:15.562Z" }, + { url = "https://files.pythonhosted.org/packages/fc/f5/eae31a306341d8f331f43edb2e9122c7661b975433de5e447939ae61c5da/pillow-12.0.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:266cd5f2b63ff316d5a1bba46268e603c9caf5606d44f38c2873c380950576ad", size = 4650186, upload-time = "2025-10-15T18:23:17.379Z" }, + { url = "https://files.pythonhosted.org/packages/86/62/2a88339aa40c4c77e79108facbd307d6091e2c0eb5b8d3cf4977cfca2fe6/pillow-12.0.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:58eea5ebe51504057dd95c5b77d21700b77615ab0243d8152793dc00eb4faf01", size = 6230308, upload-time = "2025-10-15T18:23:18.971Z" }, + { url = "https://files.pythonhosted.org/packages/c7/33/5425a8992bcb32d1cb9fa3dd39a89e613d09a22f2c8083b7bf43c455f760/pillow-12.0.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f13711b1a5ba512d647a0e4ba79280d3a9a045aaf7e0cc6fbe96b91d4cdf6b0c", size = 8039222, upload-time = "2025-10-15T18:23:20.909Z" }, + { url = "https://files.pythonhosted.org/packages/d8/61/3f5d3b35c5728f37953d3eec5b5f3e77111949523bd2dd7f31a851e50690/pillow-12.0.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6846bd2d116ff42cba6b646edf5bf61d37e5cbd256425fa089fee4ff5c07a99e", size = 6346657, upload-time = "2025-10-15T18:23:23.077Z" }, + { url = "https://files.pythonhosted.org/packages/3a/be/ee90a3d79271227e0f0a33c453531efd6ed14b2e708596ba5dd9be948da3/pillow-12.0.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c98fa880d695de164b4135a52fd2e9cd7b7c90a9d8ac5e9e443a24a95ef9248e", size = 7038482, upload-time = "2025-10-15T18:23:25.005Z" }, + { url = "https://files.pythonhosted.org/packages/44/34/a16b6a4d1ad727de390e9bd9f19f5f669e079e5826ec0f329010ddea492f/pillow-12.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:fa3ed2a29a9e9d2d488b4da81dcb54720ac3104a20bf0bd273f1e4648aff5af9", size = 6461416, upload-time = "2025-10-15T18:23:27.009Z" }, + { url = "https://files.pythonhosted.org/packages/b6/39/1aa5850d2ade7d7ba9f54e4e4c17077244ff7a2d9e25998c38a29749eb3f/pillow-12.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:d034140032870024e6b9892c692fe2968493790dd57208b2c37e3fb35f6df3ab", size = 7131584, upload-time = "2025-10-15T18:23:29.752Z" }, + { url = "https://files.pythonhosted.org/packages/bf/db/4fae862f8fad0167073a7733973bfa955f47e2cac3dc3e3e6257d10fab4a/pillow-12.0.0-cp314-cp314-win32.whl", hash = "sha256:1b1b133e6e16105f524a8dec491e0586d072948ce15c9b914e41cdadd209052b", size = 6400621, upload-time = "2025-10-15T18:23:32.06Z" }, + { url = "https://files.pythonhosted.org/packages/2b/24/b350c31543fb0107ab2599464d7e28e6f856027aadda995022e695313d94/pillow-12.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:8dc232e39d409036af549c86f24aed8273a40ffa459981146829a324e0848b4b", size = 7142916, upload-time = "2025-10-15T18:23:34.71Z" }, + { url = "https://files.pythonhosted.org/packages/0f/9b/0ba5a6fd9351793996ef7487c4fdbde8d3f5f75dbedc093bb598648fddf0/pillow-12.0.0-cp314-cp314-win_arm64.whl", hash = "sha256:d52610d51e265a51518692045e372a4c363056130d922a7351429ac9f27e70b0", size = 2523836, upload-time = "2025-10-15T18:23:36.967Z" }, + { url = "https://files.pythonhosted.org/packages/f5/7a/ceee0840aebc579af529b523d530840338ecf63992395842e54edc805987/pillow-12.0.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:1979f4566bb96c1e50a62d9831e2ea2d1211761e5662afc545fa766f996632f6", size = 5255092, upload-time = "2025-10-15T18:23:38.573Z" }, + { url = "https://files.pythonhosted.org/packages/44/76/20776057b4bfd1aef4eeca992ebde0f53a4dce874f3ae693d0ec90a4f79b/pillow-12.0.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:b2e4b27a6e15b04832fe9bf292b94b5ca156016bbc1ea9c2c20098a0320d6cf6", size = 4653158, upload-time = "2025-10-15T18:23:40.238Z" }, + { url = "https://files.pythonhosted.org/packages/82/3f/d9ff92ace07be8836b4e7e87e6a4c7a8318d47c2f1463ffcf121fc57d9cb/pillow-12.0.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:fb3096c30df99fd01c7bf8e544f392103d0795b9f98ba71a8054bcbf56b255f1", size = 6267882, upload-time = "2025-10-15T18:23:42.434Z" }, + { url = "https://files.pythonhosted.org/packages/9f/7a/4f7ff87f00d3ad33ba21af78bfcd2f032107710baf8280e3722ceec28cda/pillow-12.0.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7438839e9e053ef79f7112c881cef684013855016f928b168b81ed5835f3e75e", size = 8071001, upload-time = "2025-10-15T18:23:44.29Z" }, + { url = "https://files.pythonhosted.org/packages/75/87/fcea108944a52dad8cca0715ae6247e271eb80459364a98518f1e4f480c1/pillow-12.0.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5d5c411a8eaa2299322b647cd932586b1427367fd3184ffbb8f7a219ea2041ca", size = 6380146, upload-time = "2025-10-15T18:23:46.065Z" }, + { url = "https://files.pythonhosted.org/packages/91/52/0d31b5e571ef5fd111d2978b84603fce26aba1b6092f28e941cb46570745/pillow-12.0.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d7e091d464ac59d2c7ad8e7e08105eaf9dafbc3883fd7265ffccc2baad6ac925", size = 7067344, upload-time = "2025-10-15T18:23:47.898Z" }, + { url = "https://files.pythonhosted.org/packages/7b/f4/2dd3d721f875f928d48e83bb30a434dee75a2531bca839bb996bb0aa5a91/pillow-12.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:792a2c0be4dcc18af9d4a2dfd8a11a17d5e25274a1062b0ec1c2d79c76f3e7f8", size = 6491864, upload-time = "2025-10-15T18:23:49.607Z" }, + { url = "https://files.pythonhosted.org/packages/30/4b/667dfcf3d61fc309ba5a15b141845cece5915e39b99c1ceab0f34bf1d124/pillow-12.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:afbefa430092f71a9593a99ab6a4e7538bc9eabbf7bf94f91510d3503943edc4", size = 7158911, upload-time = "2025-10-15T18:23:51.351Z" }, + { url = "https://files.pythonhosted.org/packages/a2/2f/16cabcc6426c32218ace36bf0d55955e813f2958afddbf1d391849fee9d1/pillow-12.0.0-cp314-cp314t-win32.whl", hash = "sha256:3830c769decf88f1289680a59d4f4c46c72573446352e2befec9a8512104fa52", size = 6408045, upload-time = "2025-10-15T18:23:53.177Z" }, + { url = "https://files.pythonhosted.org/packages/35/73/e29aa0c9c666cf787628d3f0dcf379f4791fba79f4936d02f8b37165bdf8/pillow-12.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:905b0365b210c73afb0ebe9101a32572152dfd1c144c7e28968a331b9217b94a", size = 7148282, upload-time = "2025-10-15T18:23:55.316Z" }, + { url = "https://files.pythonhosted.org/packages/c1/70/6b41bdcddf541b437bbb9f47f94d2db5d9ddef6c37ccab8c9107743748a4/pillow-12.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:99353a06902c2e43b43e8ff74ee65a7d90307d82370604746738a1e0661ccca7", size = 2525630, upload-time = "2025-10-15T18:23:57.149Z" }, ] [[package]] name = "platformdirs" version = "4.5.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/61/33/9611380c2bdb1225fdef633e2a9610622310fed35ab11dac9620972ee088/platformdirs-4.5.0.tar.gz", hash = "sha256:70ddccdd7c99fc5942e9fc25636a8b34d04c24b335100223152c2803e4063312", size = 21632, upload_time = "2025-10-08T17:44:48.791Z" } +sdist = { url = "https://files.pythonhosted.org/packages/61/33/9611380c2bdb1225fdef633e2a9610622310fed35ab11dac9620972ee088/platformdirs-4.5.0.tar.gz", hash = "sha256:70ddccdd7c99fc5942e9fc25636a8b34d04c24b335100223152c2803e4063312", size = 21632, upload-time = "2025-10-08T17:44:48.791Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/73/cb/ac7874b3e5d58441674fb70742e6c374b28b0c7cb988d37d991cde47166c/platformdirs-4.5.0-py3-none-any.whl", hash = "sha256:e578a81bb873cbb89a41fcc904c7ef523cc18284b7e3b3ccf06aca1403b7ebd3", size = 18651, upload_time = "2025-10-08T17:44:47.223Z" }, + { url = "https://files.pythonhosted.org/packages/73/cb/ac7874b3e5d58441674fb70742e6c374b28b0c7cb988d37d991cde47166c/platformdirs-4.5.0-py3-none-any.whl", hash = "sha256:e578a81bb873cbb89a41fcc904c7ef523cc18284b7e3b3ccf06aca1403b7ebd3", size = 18651, upload-time = "2025-10-08T17:44:47.223Z" }, ] [[package]] @@ -1689,27 +1723,27 @@ dependencies = [ { name = "narwhals" }, { name = "packaging" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/94/05/1199e2a03ce6637960bc1e951ca0f928209a48cfceb57355806a88f214cf/plotly-6.5.0.tar.gz", hash = "sha256:d5d38224883fd38c1409bef7d6a8dc32b74348d39313f3c52ca998b8e447f5c8", size = 7013624, upload_time = "2025-11-17T18:39:24.523Z" } +sdist = { url = "https://files.pythonhosted.org/packages/94/05/1199e2a03ce6637960bc1e951ca0f928209a48cfceb57355806a88f214cf/plotly-6.5.0.tar.gz", hash = "sha256:d5d38224883fd38c1409bef7d6a8dc32b74348d39313f3c52ca998b8e447f5c8", size = 7013624, upload-time = "2025-11-17T18:39:24.523Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e7/c3/3031c931098de393393e1f93a38dc9ed6805d86bb801acc3cf2d5bd1e6b7/plotly-6.5.0-py3-none-any.whl", hash = "sha256:5ac851e100367735250206788a2b1325412aa4a4917a4fe3e6f0bc5aa6f3d90a", size = 9893174, upload_time = "2025-11-17T18:39:20.351Z" }, + { url = "https://files.pythonhosted.org/packages/e7/c3/3031c931098de393393e1f93a38dc9ed6805d86bb801acc3cf2d5bd1e6b7/plotly-6.5.0-py3-none-any.whl", hash = "sha256:5ac851e100367735250206788a2b1325412aa4a4917a4fe3e6f0bc5aa6f3d90a", size = 9893174, upload-time = "2025-11-17T18:39:20.351Z" }, ] [[package]] name = "pluggy" version = "1.6.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/f9/e2/3e91f31a7d2b083fe6ef3fa267035b518369d9511ffab804f839851d2779/pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3", size = 69412, upload_time = "2025-05-15T12:30:07.975Z" } +sdist = { url = "https://files.pythonhosted.org/packages/f9/e2/3e91f31a7d2b083fe6ef3fa267035b518369d9511ffab804f839851d2779/pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3", size = 69412, upload-time = "2025-05-15T12:30:07.975Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/54/20/4d324d65cc6d9205fabedc306948156824eb9f0ee1633355a8f7ec5c66bf/pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746", size = 20538, upload_time = "2025-05-15T12:30:06.134Z" }, + { url = "https://files.pythonhosted.org/packages/54/20/4d324d65cc6d9205fabedc306948156824eb9f0ee1633355a8f7ec5c66bf/pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746", size = 20538, upload-time = "2025-05-15T12:30:06.134Z" }, ] [[package]] name = "prometheus-client" version = "0.23.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/23/53/3edb5d68ecf6b38fcbcc1ad28391117d2a322d9a1a3eff04bfdb184d8c3b/prometheus_client-0.23.1.tar.gz", hash = "sha256:6ae8f9081eaaaf153a2e959d2e6c4f4fb57b12ef76c8c7980202f1e57b48b2ce", size = 80481, upload_time = "2025-09-18T20:47:25.043Z" } +sdist = { url = "https://files.pythonhosted.org/packages/23/53/3edb5d68ecf6b38fcbcc1ad28391117d2a322d9a1a3eff04bfdb184d8c3b/prometheus_client-0.23.1.tar.gz", hash = "sha256:6ae8f9081eaaaf153a2e959d2e6c4f4fb57b12ef76c8c7980202f1e57b48b2ce", size = 80481, upload-time = "2025-09-18T20:47:25.043Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/b8/db/14bafcb4af2139e046d03fd00dea7873e48eafe18b7d2797e73d6681f210/prometheus_client-0.23.1-py3-none-any.whl", hash = "sha256:dd1913e6e76b59cfe44e7a4b83e01afc9873c1bdfd2ed8739f1e76aeca115f99", size = 61145, upload_time = "2025-09-18T20:47:23.875Z" }, + { url = "https://files.pythonhosted.org/packages/b8/db/14bafcb4af2139e046d03fd00dea7873e48eafe18b7d2797e73d6681f210/prometheus_client-0.23.1-py3-none-any.whl", hash = "sha256:dd1913e6e76b59cfe44e7a4b83e01afc9873c1bdfd2ed8739f1e76aeca115f99", size = 61145, upload-time = "2025-09-18T20:47:23.875Z" }, ] [[package]] @@ -1719,53 +1753,53 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "wcwidth" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/a1/96/06e01a7b38dce6fe1db213e061a4602dd6032a8a97ef6c1a862537732421/prompt_toolkit-3.0.52.tar.gz", hash = "sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855", size = 434198, upload_time = "2025-08-27T15:24:02.057Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a1/96/06e01a7b38dce6fe1db213e061a4602dd6032a8a97ef6c1a862537732421/prompt_toolkit-3.0.52.tar.gz", hash = "sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855", size = 434198, upload-time = "2025-08-27T15:24:02.057Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/84/03/0d3ce49e2505ae70cf43bc5bb3033955d2fc9f932163e84dc0779cc47f48/prompt_toolkit-3.0.52-py3-none-any.whl", hash = "sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955", size = 391431, upload_time = "2025-08-27T15:23:59.498Z" }, + { url = "https://files.pythonhosted.org/packages/84/03/0d3ce49e2505ae70cf43bc5bb3033955d2fc9f932163e84dc0779cc47f48/prompt_toolkit-3.0.52-py3-none-any.whl", hash = "sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955", size = 391431, upload-time = "2025-08-27T15:23:59.498Z" }, ] [[package]] name = "psutil" version = "7.1.3" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/e1/88/bdd0a41e5857d5d703287598cbf08dad90aed56774ea52ae071bae9071b6/psutil-7.1.3.tar.gz", hash = "sha256:6c86281738d77335af7aec228328e944b30930899ea760ecf33a4dba66be5e74", size = 489059, upload_time = "2025-11-02T12:25:54.619Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/bd/93/0c49e776b8734fef56ec9c5c57f923922f2cf0497d62e0f419465f28f3d0/psutil-7.1.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0005da714eee687b4b8decd3d6cc7c6db36215c9e74e5ad2264b90c3df7d92dc", size = 239751, upload_time = "2025-11-02T12:25:58.161Z" }, - { url = "https://files.pythonhosted.org/packages/6f/8d/b31e39c769e70780f007969815195a55c81a63efebdd4dbe9e7a113adb2f/psutil-7.1.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:19644c85dcb987e35eeeaefdc3915d059dac7bd1167cdcdbf27e0ce2df0c08c0", size = 240368, upload_time = "2025-11-02T12:26:00.491Z" }, - { url = "https://files.pythonhosted.org/packages/62/61/23fd4acc3c9eebbf6b6c78bcd89e5d020cfde4acf0a9233e9d4e3fa698b4/psutil-7.1.3-cp313-cp313t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:95ef04cf2e5ba0ab9eaafc4a11eaae91b44f4ef5541acd2ee91d9108d00d59a7", size = 287134, upload_time = "2025-11-02T12:26:02.613Z" }, - { url = "https://files.pythonhosted.org/packages/30/1c/f921a009ea9ceb51aa355cb0cc118f68d354db36eae18174bab63affb3e6/psutil-7.1.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1068c303be3a72f8e18e412c5b2a8f6d31750fb152f9cb106b54090296c9d251", size = 289904, upload_time = "2025-11-02T12:26:05.207Z" }, - { url = "https://files.pythonhosted.org/packages/a6/82/62d68066e13e46a5116df187d319d1724b3f437ddd0f958756fc052677f4/psutil-7.1.3-cp313-cp313t-win_amd64.whl", hash = "sha256:18349c5c24b06ac5612c0428ec2a0331c26443d259e2a0144a9b24b4395b58fa", size = 249642, upload_time = "2025-11-02T12:26:07.447Z" }, - { url = "https://files.pythonhosted.org/packages/df/ad/c1cd5fe965c14a0392112f68362cfceb5230819dbb5b1888950d18a11d9f/psutil-7.1.3-cp313-cp313t-win_arm64.whl", hash = "sha256:c525ffa774fe4496282fb0b1187725793de3e7c6b29e41562733cae9ada151ee", size = 245518, upload_time = "2025-11-02T12:26:09.719Z" }, - { url = "https://files.pythonhosted.org/packages/2e/bb/6670bded3e3236eb4287c7bcdc167e9fae6e1e9286e437f7111caed2f909/psutil-7.1.3-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:b403da1df4d6d43973dc004d19cee3b848e998ae3154cc8097d139b77156c353", size = 239843, upload_time = "2025-11-02T12:26:11.968Z" }, - { url = "https://files.pythonhosted.org/packages/b8/66/853d50e75a38c9a7370ddbeefabdd3d3116b9c31ef94dc92c6729bc36bec/psutil-7.1.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ad81425efc5e75da3f39b3e636293360ad8d0b49bed7df824c79764fb4ba9b8b", size = 240369, upload_time = "2025-11-02T12:26:14.358Z" }, - { url = "https://files.pythonhosted.org/packages/41/bd/313aba97cb5bfb26916dc29cf0646cbe4dd6a89ca69e8c6edce654876d39/psutil-7.1.3-cp314-cp314t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8f33a3702e167783a9213db10ad29650ebf383946e91bc77f28a5eb083496bc9", size = 288210, upload_time = "2025-11-02T12:26:16.699Z" }, - { url = "https://files.pythonhosted.org/packages/c2/fa/76e3c06e760927a0cfb5705eb38164254de34e9bd86db656d4dbaa228b04/psutil-7.1.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:fac9cd332c67f4422504297889da5ab7e05fd11e3c4392140f7370f4208ded1f", size = 291182, upload_time = "2025-11-02T12:26:18.848Z" }, - { url = "https://files.pythonhosted.org/packages/0f/1d/5774a91607035ee5078b8fd747686ebec28a962f178712de100d00b78a32/psutil-7.1.3-cp314-cp314t-win_amd64.whl", hash = "sha256:3792983e23b69843aea49c8f5b8f115572c5ab64c153bada5270086a2123c7e7", size = 250466, upload_time = "2025-11-02T12:26:21.183Z" }, - { url = "https://files.pythonhosted.org/packages/00/ca/e426584bacb43a5cb1ac91fae1937f478cd8fbe5e4ff96574e698a2c77cd/psutil-7.1.3-cp314-cp314t-win_arm64.whl", hash = "sha256:31d77fcedb7529f27bb3a0472bea9334349f9a04160e8e6e5020f22c59893264", size = 245756, upload_time = "2025-11-02T12:26:23.148Z" }, - { url = "https://files.pythonhosted.org/packages/ef/94/46b9154a800253e7ecff5aaacdf8ebf43db99de4a2dfa18575b02548654e/psutil-7.1.3-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2bdbcd0e58ca14996a42adf3621a6244f1bb2e2e528886959c72cf1e326677ab", size = 238359, upload_time = "2025-11-02T12:26:25.284Z" }, - { url = "https://files.pythonhosted.org/packages/68/3a/9f93cff5c025029a36d9a92fef47220ab4692ee7f2be0fba9f92813d0cb8/psutil-7.1.3-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:bc31fa00f1fbc3c3802141eede66f3a2d51d89716a194bf2cd6fc68310a19880", size = 239171, upload_time = "2025-11-02T12:26:27.23Z" }, - { url = "https://files.pythonhosted.org/packages/ce/b1/5f49af514f76431ba4eea935b8ad3725cdeb397e9245ab919dbc1d1dc20f/psutil-7.1.3-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3bb428f9f05c1225a558f53e30ccbad9930b11c3fc206836242de1091d3e7dd3", size = 263261, upload_time = "2025-11-02T12:26:29.48Z" }, - { url = "https://files.pythonhosted.org/packages/e0/95/992c8816a74016eb095e73585d747e0a8ea21a061ed3689474fabb29a395/psutil-7.1.3-cp36-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:56d974e02ca2c8eb4812c3f76c30e28836fffc311d55d979f1465c1feeb2b68b", size = 264635, upload_time = "2025-11-02T12:26:31.74Z" }, - { url = "https://files.pythonhosted.org/packages/55/4c/c3ed1a622b6ae2fd3c945a366e64eb35247a31e4db16cf5095e269e8eb3c/psutil-7.1.3-cp37-abi3-win_amd64.whl", hash = "sha256:f39c2c19fe824b47484b96f9692932248a54c43799a84282cfe58d05a6449efd", size = 247633, upload_time = "2025-11-02T12:26:33.887Z" }, - { url = "https://files.pythonhosted.org/packages/c9/ad/33b2ccec09bf96c2b2ef3f9a6f66baac8253d7565d8839e024a6b905d45d/psutil-7.1.3-cp37-abi3-win_arm64.whl", hash = "sha256:bd0d69cee829226a761e92f28140bec9a5ee9d5b4fb4b0cc589068dbfff559b1", size = 244608, upload_time = "2025-11-02T12:26:36.136Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/e1/88/bdd0a41e5857d5d703287598cbf08dad90aed56774ea52ae071bae9071b6/psutil-7.1.3.tar.gz", hash = "sha256:6c86281738d77335af7aec228328e944b30930899ea760ecf33a4dba66be5e74", size = 489059, upload-time = "2025-11-02T12:25:54.619Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/bd/93/0c49e776b8734fef56ec9c5c57f923922f2cf0497d62e0f419465f28f3d0/psutil-7.1.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0005da714eee687b4b8decd3d6cc7c6db36215c9e74e5ad2264b90c3df7d92dc", size = 239751, upload-time = "2025-11-02T12:25:58.161Z" }, + { url = "https://files.pythonhosted.org/packages/6f/8d/b31e39c769e70780f007969815195a55c81a63efebdd4dbe9e7a113adb2f/psutil-7.1.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:19644c85dcb987e35eeeaefdc3915d059dac7bd1167cdcdbf27e0ce2df0c08c0", size = 240368, upload-time = "2025-11-02T12:26:00.491Z" }, + { url = "https://files.pythonhosted.org/packages/62/61/23fd4acc3c9eebbf6b6c78bcd89e5d020cfde4acf0a9233e9d4e3fa698b4/psutil-7.1.3-cp313-cp313t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:95ef04cf2e5ba0ab9eaafc4a11eaae91b44f4ef5541acd2ee91d9108d00d59a7", size = 287134, upload-time = "2025-11-02T12:26:02.613Z" }, + { url = "https://files.pythonhosted.org/packages/30/1c/f921a009ea9ceb51aa355cb0cc118f68d354db36eae18174bab63affb3e6/psutil-7.1.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1068c303be3a72f8e18e412c5b2a8f6d31750fb152f9cb106b54090296c9d251", size = 289904, upload-time = "2025-11-02T12:26:05.207Z" }, + { url = "https://files.pythonhosted.org/packages/a6/82/62d68066e13e46a5116df187d319d1724b3f437ddd0f958756fc052677f4/psutil-7.1.3-cp313-cp313t-win_amd64.whl", hash = "sha256:18349c5c24b06ac5612c0428ec2a0331c26443d259e2a0144a9b24b4395b58fa", size = 249642, upload-time = "2025-11-02T12:26:07.447Z" }, + { url = "https://files.pythonhosted.org/packages/df/ad/c1cd5fe965c14a0392112f68362cfceb5230819dbb5b1888950d18a11d9f/psutil-7.1.3-cp313-cp313t-win_arm64.whl", hash = "sha256:c525ffa774fe4496282fb0b1187725793de3e7c6b29e41562733cae9ada151ee", size = 245518, upload-time = "2025-11-02T12:26:09.719Z" }, + { url = "https://files.pythonhosted.org/packages/2e/bb/6670bded3e3236eb4287c7bcdc167e9fae6e1e9286e437f7111caed2f909/psutil-7.1.3-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:b403da1df4d6d43973dc004d19cee3b848e998ae3154cc8097d139b77156c353", size = 239843, upload-time = "2025-11-02T12:26:11.968Z" }, + { url = "https://files.pythonhosted.org/packages/b8/66/853d50e75a38c9a7370ddbeefabdd3d3116b9c31ef94dc92c6729bc36bec/psutil-7.1.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ad81425efc5e75da3f39b3e636293360ad8d0b49bed7df824c79764fb4ba9b8b", size = 240369, upload-time = "2025-11-02T12:26:14.358Z" }, + { url = "https://files.pythonhosted.org/packages/41/bd/313aba97cb5bfb26916dc29cf0646cbe4dd6a89ca69e8c6edce654876d39/psutil-7.1.3-cp314-cp314t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8f33a3702e167783a9213db10ad29650ebf383946e91bc77f28a5eb083496bc9", size = 288210, upload-time = "2025-11-02T12:26:16.699Z" }, + { url = "https://files.pythonhosted.org/packages/c2/fa/76e3c06e760927a0cfb5705eb38164254de34e9bd86db656d4dbaa228b04/psutil-7.1.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:fac9cd332c67f4422504297889da5ab7e05fd11e3c4392140f7370f4208ded1f", size = 291182, upload-time = "2025-11-02T12:26:18.848Z" }, + { url = "https://files.pythonhosted.org/packages/0f/1d/5774a91607035ee5078b8fd747686ebec28a962f178712de100d00b78a32/psutil-7.1.3-cp314-cp314t-win_amd64.whl", hash = "sha256:3792983e23b69843aea49c8f5b8f115572c5ab64c153bada5270086a2123c7e7", size = 250466, upload-time = "2025-11-02T12:26:21.183Z" }, + { url = "https://files.pythonhosted.org/packages/00/ca/e426584bacb43a5cb1ac91fae1937f478cd8fbe5e4ff96574e698a2c77cd/psutil-7.1.3-cp314-cp314t-win_arm64.whl", hash = "sha256:31d77fcedb7529f27bb3a0472bea9334349f9a04160e8e6e5020f22c59893264", size = 245756, upload-time = "2025-11-02T12:26:23.148Z" }, + { url = "https://files.pythonhosted.org/packages/ef/94/46b9154a800253e7ecff5aaacdf8ebf43db99de4a2dfa18575b02548654e/psutil-7.1.3-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2bdbcd0e58ca14996a42adf3621a6244f1bb2e2e528886959c72cf1e326677ab", size = 238359, upload-time = "2025-11-02T12:26:25.284Z" }, + { url = "https://files.pythonhosted.org/packages/68/3a/9f93cff5c025029a36d9a92fef47220ab4692ee7f2be0fba9f92813d0cb8/psutil-7.1.3-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:bc31fa00f1fbc3c3802141eede66f3a2d51d89716a194bf2cd6fc68310a19880", size = 239171, upload-time = "2025-11-02T12:26:27.23Z" }, + { url = "https://files.pythonhosted.org/packages/ce/b1/5f49af514f76431ba4eea935b8ad3725cdeb397e9245ab919dbc1d1dc20f/psutil-7.1.3-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3bb428f9f05c1225a558f53e30ccbad9930b11c3fc206836242de1091d3e7dd3", size = 263261, upload-time = "2025-11-02T12:26:29.48Z" }, + { url = "https://files.pythonhosted.org/packages/e0/95/992c8816a74016eb095e73585d747e0a8ea21a061ed3689474fabb29a395/psutil-7.1.3-cp36-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:56d974e02ca2c8eb4812c3f76c30e28836fffc311d55d979f1465c1feeb2b68b", size = 264635, upload-time = "2025-11-02T12:26:31.74Z" }, + { url = "https://files.pythonhosted.org/packages/55/4c/c3ed1a622b6ae2fd3c945a366e64eb35247a31e4db16cf5095e269e8eb3c/psutil-7.1.3-cp37-abi3-win_amd64.whl", hash = "sha256:f39c2c19fe824b47484b96f9692932248a54c43799a84282cfe58d05a6449efd", size = 247633, upload-time = "2025-11-02T12:26:33.887Z" }, + { url = "https://files.pythonhosted.org/packages/c9/ad/33b2ccec09bf96c2b2ef3f9a6f66baac8253d7565d8839e024a6b905d45d/psutil-7.1.3-cp37-abi3-win_arm64.whl", hash = "sha256:bd0d69cee829226a761e92f28140bec9a5ee9d5b4fb4b0cc589068dbfff559b1", size = 244608, upload-time = "2025-11-02T12:26:36.136Z" }, ] [[package]] name = "ptyprocess" version = "0.7.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/20/e5/16ff212c1e452235a90aeb09066144d0c5a6a8c0834397e03f5224495c4e/ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220", size = 70762, upload_time = "2020-12-28T15:15:30.155Z" } +sdist = { url = "https://files.pythonhosted.org/packages/20/e5/16ff212c1e452235a90aeb09066144d0c5a6a8c0834397e03f5224495c4e/ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220", size = 70762, upload-time = "2020-12-28T15:15:30.155Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/22/a6/858897256d0deac81a172289110f31629fc4cee19b6f01283303e18c8db3/ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35", size = 13993, upload_time = "2020-12-28T15:15:28.35Z" }, + { url = "https://files.pythonhosted.org/packages/22/a6/858897256d0deac81a172289110f31629fc4cee19b6f01283303e18c8db3/ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35", size = 13993, upload-time = "2020-12-28T15:15:28.35Z" }, ] [[package]] name = "pure-eval" version = "0.2.3" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/cd/05/0a34433a064256a578f1783a10da6df098ceaa4a57bbeaa96a6c0352786b/pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42", size = 19752, upload_time = "2024-07-21T12:58:21.801Z" } +sdist = { url = "https://files.pythonhosted.org/packages/cd/05/0a34433a064256a578f1783a10da6df098ceaa4a57bbeaa96a6c0352786b/pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42", size = 19752, upload-time = "2024-07-21T12:58:21.801Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/8e/37/efad0257dc6e593a18957422533ff0f87ede7c9c6ea010a2177d738fb82f/pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0", size = 11842, upload_time = "2024-07-21T12:58:20.04Z" }, + { url = "https://files.pythonhosted.org/packages/8e/37/efad0257dc6e593a18957422533ff0f87ede7c9c6ea010a2177d738fb82f/pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0", size = 11842, upload-time = "2024-07-21T12:58:20.04Z" }, ] [[package]] @@ -1773,6 +1807,7 @@ name = "pychemelt" version = "0.1.19" source = { editable = "." } dependencies = [ + { name = "lmfit" }, { name = "matplotlib" }, { name = "numpy" }, { name = "openpyxl" }, @@ -1819,6 +1854,7 @@ requires-dist = [ { name = "flake8", marker = "extra == 'dev'", specifier = ">=6.0.0" }, { name = "ipykernel", marker = "extra == 'dev'", specifier = ">=6.29.5" }, { name = "jupyter", marker = "extra == 'dev'", specifier = ">=1.0.0" }, + { name = "lmfit", specifier = ">=1.3.4" }, { name = "matplotlib", specifier = ">=3.10.7" }, { name = "notebook", marker = "extra == 'dev'", specifier = ">=6.0.0" }, { name = "numpy", specifier = ">=2.3.5" }, @@ -1850,18 +1886,18 @@ provides-extras = ["test", "docs", "dev"] name = "pycodestyle" version = "2.14.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/11/e0/abfd2a0d2efe47670df87f3e3a0e2edda42f055053c85361f19c0e2c1ca8/pycodestyle-2.14.0.tar.gz", hash = "sha256:c4b5b517d278089ff9d0abdec919cd97262a3367449ea1c8b49b91529167b783", size = 39472, upload_time = "2025-06-20T18:49:48.75Z" } +sdist = { url = "https://files.pythonhosted.org/packages/11/e0/abfd2a0d2efe47670df87f3e3a0e2edda42f055053c85361f19c0e2c1ca8/pycodestyle-2.14.0.tar.gz", hash = "sha256:c4b5b517d278089ff9d0abdec919cd97262a3367449ea1c8b49b91529167b783", size = 39472, upload-time = "2025-06-20T18:49:48.75Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/d7/27/a58ddaf8c588a3ef080db9d0b7e0b97215cee3a45df74f3a94dbbf5c893a/pycodestyle-2.14.0-py2.py3-none-any.whl", hash = "sha256:dd6bf7cb4ee77f8e016f9c8e74a35ddd9f67e1d5fd4184d86c3b98e07099f42d", size = 31594, upload_time = "2025-06-20T18:49:47.491Z" }, + { url = "https://files.pythonhosted.org/packages/d7/27/a58ddaf8c588a3ef080db9d0b7e0b97215cee3a45df74f3a94dbbf5c893a/pycodestyle-2.14.0-py2.py3-none-any.whl", hash = "sha256:dd6bf7cb4ee77f8e016f9c8e74a35ddd9f67e1d5fd4184d86c3b98e07099f42d", size = 31594, upload-time = "2025-06-20T18:49:47.491Z" }, ] [[package]] name = "pycparser" version = "2.23" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/fe/cf/d2d3b9f5699fb1e4615c8e32ff220203e43b248e1dfcc6736ad9057731ca/pycparser-2.23.tar.gz", hash = "sha256:78816d4f24add8f10a06d6f05b4d424ad9e96cfebf68a4ddc99c65c0720d00c2", size = 173734, upload_time = "2025-09-09T13:23:47.91Z" } +sdist = { url = "https://files.pythonhosted.org/packages/fe/cf/d2d3b9f5699fb1e4615c8e32ff220203e43b248e1dfcc6736ad9057731ca/pycparser-2.23.tar.gz", hash = "sha256:78816d4f24add8f10a06d6f05b4d424ad9e96cfebf68a4ddc99c65c0720d00c2", size = 173734, upload-time = "2025-09-09T13:23:47.91Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/a0/e3/59cd50310fc9b59512193629e1984c1f95e5c8ae6e5d8c69532ccc65a7fe/pycparser-2.23-py3-none-any.whl", hash = "sha256:e5c6e8d3fbad53479cab09ac03729e0a9faf2bee3db8208a550daf5af81a5934", size = 118140, upload_time = "2025-09-09T13:23:46.651Z" }, + { url = "https://files.pythonhosted.org/packages/a0/e3/59cd50310fc9b59512193629e1984c1f95e5c8ae6e5d8c69532ccc65a7fe/pycparser-2.23-py3-none-any.whl", hash = "sha256:e5c6e8d3fbad53479cab09ac03729e0a9faf2bee3db8208a550daf5af81a5934", size = 118140, upload-time = "2025-09-09T13:23:46.651Z" }, ] [[package]] @@ -1877,36 +1913,36 @@ dependencies = [ { name = "sphinx" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/00/20/bb50f9de3a6de69e6abd6b087b52fa2418a0418b19597601605f855ad044/pydata_sphinx_theme-0.16.1.tar.gz", hash = "sha256:a08b7f0b7f70387219dc659bff0893a7554d5eb39b59d3b8ef37b8401b7642d7", size = 2412693, upload_time = "2024-12-17T10:53:39.537Z" } +sdist = { url = "https://files.pythonhosted.org/packages/00/20/bb50f9de3a6de69e6abd6b087b52fa2418a0418b19597601605f855ad044/pydata_sphinx_theme-0.16.1.tar.gz", hash = "sha256:a08b7f0b7f70387219dc659bff0893a7554d5eb39b59d3b8ef37b8401b7642d7", size = 2412693, upload-time = "2024-12-17T10:53:39.537Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e2/0d/8ba33fa83a7dcde13eb3c1c2a0c1cc29950a048bfed6d9b0d8b6bd710b4c/pydata_sphinx_theme-0.16.1-py3-none-any.whl", hash = "sha256:225331e8ac4b32682c18fcac5a57a6f717c4e632cea5dd0e247b55155faeccde", size = 6723264, upload_time = "2024-12-17T10:53:35.645Z" }, + { url = "https://files.pythonhosted.org/packages/e2/0d/8ba33fa83a7dcde13eb3c1c2a0c1cc29950a048bfed6d9b0d8b6bd710b4c/pydata_sphinx_theme-0.16.1-py3-none-any.whl", hash = "sha256:225331e8ac4b32682c18fcac5a57a6f717c4e632cea5dd0e247b55155faeccde", size = 6723264, upload-time = "2024-12-17T10:53:35.645Z" }, ] [[package]] name = "pyflakes" version = "3.4.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/45/dc/fd034dc20b4b264b3d015808458391acbf9df40b1e54750ef175d39180b1/pyflakes-3.4.0.tar.gz", hash = "sha256:b24f96fafb7d2ab0ec5075b7350b3d2d2218eab42003821c06344973d3ea2f58", size = 64669, upload_time = "2025-06-20T18:45:27.834Z" } +sdist = { url = "https://files.pythonhosted.org/packages/45/dc/fd034dc20b4b264b3d015808458391acbf9df40b1e54750ef175d39180b1/pyflakes-3.4.0.tar.gz", hash = "sha256:b24f96fafb7d2ab0ec5075b7350b3d2d2218eab42003821c06344973d3ea2f58", size = 64669, upload-time = "2025-06-20T18:45:27.834Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c2/2f/81d580a0fb83baeb066698975cb14a618bdbed7720678566f1b046a95fe8/pyflakes-3.4.0-py2.py3-none-any.whl", hash = "sha256:f742a7dbd0d9cb9ea41e9a24a918996e8170c799fa528688d40dd582c8265f4f", size = 63551, upload_time = "2025-06-20T18:45:26.937Z" }, + { url = "https://files.pythonhosted.org/packages/c2/2f/81d580a0fb83baeb066698975cb14a618bdbed7720678566f1b046a95fe8/pyflakes-3.4.0-py2.py3-none-any.whl", hash = "sha256:f742a7dbd0d9cb9ea41e9a24a918996e8170c799fa528688d40dd582c8265f4f", size = 63551, upload-time = "2025-06-20T18:45:26.937Z" }, ] [[package]] name = "pygments" version = "2.19.2" 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/b0/77/a5b8c569bf593b0140bde72ea885a803b82086995367bf2037de0159d924/pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887", size = 4968631, upload-time = "2025-06-21T13:39:12.283Z" } 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/c7/21/705964c7812476f378728bdf590ca4b771ec72385c533964653c68e86bdc/pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b", size = 1225217, upload-time = "2025-06-21T13:39:07.939Z" }, ] [[package]] name = "pyparsing" version = "3.2.5" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/f2/a5/181488fc2b9d093e3972d2a472855aae8a03f000592dbfce716a512b3359/pyparsing-3.2.5.tar.gz", hash = "sha256:2df8d5b7b2802ef88e8d016a2eb9c7aeaa923529cd251ed0fe4608275d4105b6", size = 1099274, upload_time = "2025-09-21T04:11:06.277Z" } +sdist = { url = "https://files.pythonhosted.org/packages/f2/a5/181488fc2b9d093e3972d2a472855aae8a03f000592dbfce716a512b3359/pyparsing-3.2.5.tar.gz", hash = "sha256:2df8d5b7b2802ef88e8d016a2eb9c7aeaa923529cd251ed0fe4608275d4105b6", size = 1099274, upload-time = "2025-09-21T04:11:06.277Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/10/5e/1aa9a93198c6b64513c9d7752de7422c06402de6600a8767da1524f9570b/pyparsing-3.2.5-py3-none-any.whl", hash = "sha256:e38a4f02064cf41fe6593d328d0512495ad1f3d8a91c4f73fc401b3079a59a5e", size = 113890, upload_time = "2025-09-21T04:11:04.117Z" }, + { url = "https://files.pythonhosted.org/packages/10/5e/1aa9a93198c6b64513c9d7752de7422c06402de6600a8767da1524f9570b/pyparsing-3.2.5-py3-none-any.whl", hash = "sha256:e38a4f02064cf41fe6593d328d0512495ad1f3d8a91c4f73fc401b3079a59a5e", size = 113890, upload-time = "2025-09-21T04:11:04.117Z" }, ] [[package]] @@ -1920,9 +1956,9 @@ dependencies = [ { name = "pluggy" }, { name = "pygments" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/07/56/f013048ac4bc4c1d9be45afd4ab209ea62822fb1598f40687e6bf45dcea4/pytest-9.0.1.tar.gz", hash = "sha256:3e9c069ea73583e255c3b21cf46b8d3c56f6e3a1a8f6da94ccb0fcf57b9d73c8", size = 1564125, upload_time = "2025-11-12T13:05:09.333Z" } +sdist = { url = "https://files.pythonhosted.org/packages/07/56/f013048ac4bc4c1d9be45afd4ab209ea62822fb1598f40687e6bf45dcea4/pytest-9.0.1.tar.gz", hash = "sha256:3e9c069ea73583e255c3b21cf46b8d3c56f6e3a1a8f6da94ccb0fcf57b9d73c8", size = 1564125, upload-time = "2025-11-12T13:05:09.333Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/0b/8b/6300fb80f858cda1c51ffa17075df5d846757081d11ab4aa35cef9e6258b/pytest-9.0.1-py3-none-any.whl", hash = "sha256:67be0030d194df2dfa7b556f2e56fb3c3315bd5c8822c6951162b92b32ce7dad", size = 373668, upload_time = "2025-11-12T13:05:07.379Z" }, + { url = "https://files.pythonhosted.org/packages/0b/8b/6300fb80f858cda1c51ffa17075df5d846757081d11ab4aa35cef9e6258b/pytest-9.0.1-py3-none-any.whl", hash = "sha256:67be0030d194df2dfa7b556f2e56fb3c3315bd5c8822c6951162b92b32ce7dad", size = 373668, upload-time = "2025-11-12T13:05:07.379Z" }, ] [[package]] @@ -1934,9 +1970,9 @@ dependencies = [ { name = "pluggy" }, { name = "pytest" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/5e/f7/c933acc76f5208b3b00089573cf6a2bc26dc80a8aece8f52bb7d6b1855ca/pytest_cov-7.0.0.tar.gz", hash = "sha256:33c97eda2e049a0c5298e91f519302a1334c26ac65c1a483d6206fd458361af1", size = 54328, upload_time = "2025-09-09T10:57:02.113Z" } +sdist = { url = "https://files.pythonhosted.org/packages/5e/f7/c933acc76f5208b3b00089573cf6a2bc26dc80a8aece8f52bb7d6b1855ca/pytest_cov-7.0.0.tar.gz", hash = "sha256:33c97eda2e049a0c5298e91f519302a1334c26ac65c1a483d6206fd458361af1", size = 54328, upload-time = "2025-09-09T10:57:02.113Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/ee/49/1377b49de7d0c1ce41292161ea0f721913fa8722c19fb9c1e3aa0367eecb/pytest_cov-7.0.0-py3-none-any.whl", hash = "sha256:3b8e9558b16cc1479da72058bdecf8073661c7f57f7d3c5f22a1c23507f2d861", size = 22424, upload_time = "2025-09-09T10:57:00.695Z" }, + { url = "https://files.pythonhosted.org/packages/ee/49/1377b49de7d0c1ce41292161ea0f721913fa8722c19fb9c1e3aa0367eecb/pytest_cov-7.0.0-py3-none-any.whl", hash = "sha256:3b8e9558b16cc1479da72058bdecf8073661c7f57f7d3c5f22a1c23507f2d861", size = 22424, upload-time = "2025-09-09T10:57:00.695Z" }, ] [[package]] @@ -1946,95 +1982,95 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "six" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/66/c0/0c8b6ad9f17a802ee498c46e004a0eb49bc148f2fd230864601a86dcf6db/python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", size = 342432, upload_time = "2024-03-01T18:36:20.211Z" } +sdist = { url = "https://files.pythonhosted.org/packages/66/c0/0c8b6ad9f17a802ee498c46e004a0eb49bc148f2fd230864601a86dcf6db/python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", size = 342432, upload-time = "2024-03-01T18:36:20.211Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892, upload_time = "2024-03-01T18:36:18.57Z" }, + { url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892, upload-time = "2024-03-01T18:36:18.57Z" }, ] [[package]] name = "python-json-logger" version = "4.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/29/bf/eca6a3d43db1dae7070f70e160ab20b807627ba953663ba07928cdd3dc58/python_json_logger-4.0.0.tar.gz", hash = "sha256:f58e68eb46e1faed27e0f574a55a0455eecd7b8a5b88b85a784519ba3cff047f", size = 17683, upload_time = "2025-10-06T04:15:18.984Z" } +sdist = { url = "https://files.pythonhosted.org/packages/29/bf/eca6a3d43db1dae7070f70e160ab20b807627ba953663ba07928cdd3dc58/python_json_logger-4.0.0.tar.gz", hash = "sha256:f58e68eb46e1faed27e0f574a55a0455eecd7b8a5b88b85a784519ba3cff047f", size = 17683, upload-time = "2025-10-06T04:15:18.984Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/51/e5/fecf13f06e5e5f67e8837d777d1bc43fac0ed2b77a676804df5c34744727/python_json_logger-4.0.0-py3-none-any.whl", hash = "sha256:af09c9daf6a813aa4cc7180395f50f2a9e5fa056034c9953aec92e381c5ba1e2", size = 15548, upload_time = "2025-10-06T04:15:17.553Z" }, + { url = "https://files.pythonhosted.org/packages/51/e5/fecf13f06e5e5f67e8837d777d1bc43fac0ed2b77a676804df5c34744727/python_json_logger-4.0.0-py3-none-any.whl", hash = "sha256:af09c9daf6a813aa4cc7180395f50f2a9e5fa056034c9953aec92e381c5ba1e2", size = 15548, upload-time = "2025-10-06T04:15:17.553Z" }, ] [[package]] name = "pytokens" version = "0.3.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/4e/8d/a762be14dae1c3bf280202ba3172020b2b0b4c537f94427435f19c413b72/pytokens-0.3.0.tar.gz", hash = "sha256:2f932b14ed08de5fcf0b391ace2642f858f1394c0857202959000b68ed7a458a", size = 17644, upload_time = "2025-11-05T13:36:35.34Z" } +sdist = { url = "https://files.pythonhosted.org/packages/4e/8d/a762be14dae1c3bf280202ba3172020b2b0b4c537f94427435f19c413b72/pytokens-0.3.0.tar.gz", hash = "sha256:2f932b14ed08de5fcf0b391ace2642f858f1394c0857202959000b68ed7a458a", size = 17644, upload-time = "2025-11-05T13:36:35.34Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/84/25/d9db8be44e205a124f6c98bc0324b2bb149b7431c53877fc6d1038dddaf5/pytokens-0.3.0-py3-none-any.whl", hash = "sha256:95b2b5eaf832e469d141a378872480ede3f251a5a5041b8ec6e581d3ac71bbf3", size = 12195, upload_time = "2025-11-05T13:36:33.183Z" }, + { url = "https://files.pythonhosted.org/packages/84/25/d9db8be44e205a124f6c98bc0324b2bb149b7431c53877fc6d1038dddaf5/pytokens-0.3.0-py3-none-any.whl", hash = "sha256:95b2b5eaf832e469d141a378872480ede3f251a5a5041b8ec6e581d3ac71bbf3", size = 12195, upload-time = "2025-11-05T13:36:33.183Z" }, ] [[package]] name = "pytz" version = "2025.2" 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/f8/bf/abbd3cdfb8fbc7fb3d4d38d320f2441b1e7cbe29be4f23797b4a2b5d8aac/pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3", size = 320884, upload-time = "2025-03-25T02:25:00.538Z" } 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/81/c4/34e93fe5f5429d7570ec1fa436f1986fb1f00c3e0f43a589fe2bbcd22c3f/pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00", size = 509225, upload-time = "2025-03-25T02:24:58.468Z" }, ] [[package]] name = "pywinpty" version = "3.0.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/f3/bb/a7cc2967c5c4eceb6cc49cfe39447d4bfc56e6c865e7c2249b6eb978935f/pywinpty-3.0.2.tar.gz", hash = "sha256:1505cc4cb248af42cb6285a65c9c2086ee9e7e574078ee60933d5d7fa86fb004", size = 30669, upload_time = "2025-10-03T21:16:29.205Z" } +sdist = { url = "https://files.pythonhosted.org/packages/f3/bb/a7cc2967c5c4eceb6cc49cfe39447d4bfc56e6c865e7c2249b6eb978935f/pywinpty-3.0.2.tar.gz", hash = "sha256:1505cc4cb248af42cb6285a65c9c2086ee9e7e574078ee60933d5d7fa86fb004", size = 30669, upload-time = "2025-10-03T21:16:29.205Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/02/4e/1098484e042c9485f56f16eb2b69b43b874bd526044ee401512234cf9e04/pywinpty-3.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:99fdd9b455f0ad6419aba6731a7a0d2f88ced83c3c94a80ff9533d95fa8d8a9e", size = 2050391, upload_time = "2025-10-03T21:19:01.642Z" }, - { url = "https://files.pythonhosted.org/packages/fc/19/b757fe28008236a4a713e813283721b8a40aa60cd7d3f83549f2e25a3155/pywinpty-3.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:18f78b81e4cfee6aabe7ea8688441d30247b73e52cd9657138015c5f4ee13a51", size = 2050057, upload_time = "2025-10-03T21:19:26.732Z" }, - { url = "https://files.pythonhosted.org/packages/cb/44/cbae12ecf6f4fa4129c36871fd09c6bef4f98d5f625ecefb5e2449765508/pywinpty-3.0.2-cp313-cp313t-win_amd64.whl", hash = "sha256:663383ecfab7fc382cc97ea5c4f7f0bb32c2f889259855df6ea34e5df42d305b", size = 2049874, upload_time = "2025-10-03T21:18:53.923Z" }, - { url = "https://files.pythonhosted.org/packages/ca/15/f12c6055e2d7a617d4d5820e8ac4ceaff849da4cb124640ef5116a230771/pywinpty-3.0.2-cp314-cp314-win_amd64.whl", hash = "sha256:28297cecc37bee9f24d8889e47231972d6e9e84f7b668909de54f36ca785029a", size = 2050386, upload_time = "2025-10-03T21:18:50.477Z" }, - { url = "https://files.pythonhosted.org/packages/de/24/c6907c5bb06043df98ad6a0a0ff5db2e0affcecbc3b15c42404393a3f72a/pywinpty-3.0.2-cp314-cp314t-win_amd64.whl", hash = "sha256:34b55ae9a1b671fe3eae071d86618110538e8eaad18fcb1531c0830b91a82767", size = 2049834, upload_time = "2025-10-03T21:19:25.688Z" }, + { url = "https://files.pythonhosted.org/packages/02/4e/1098484e042c9485f56f16eb2b69b43b874bd526044ee401512234cf9e04/pywinpty-3.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:99fdd9b455f0ad6419aba6731a7a0d2f88ced83c3c94a80ff9533d95fa8d8a9e", size = 2050391, upload-time = "2025-10-03T21:19:01.642Z" }, + { url = "https://files.pythonhosted.org/packages/fc/19/b757fe28008236a4a713e813283721b8a40aa60cd7d3f83549f2e25a3155/pywinpty-3.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:18f78b81e4cfee6aabe7ea8688441d30247b73e52cd9657138015c5f4ee13a51", size = 2050057, upload-time = "2025-10-03T21:19:26.732Z" }, + { url = "https://files.pythonhosted.org/packages/cb/44/cbae12ecf6f4fa4129c36871fd09c6bef4f98d5f625ecefb5e2449765508/pywinpty-3.0.2-cp313-cp313t-win_amd64.whl", hash = "sha256:663383ecfab7fc382cc97ea5c4f7f0bb32c2f889259855df6ea34e5df42d305b", size = 2049874, upload-time = "2025-10-03T21:18:53.923Z" }, + { url = "https://files.pythonhosted.org/packages/ca/15/f12c6055e2d7a617d4d5820e8ac4ceaff849da4cb124640ef5116a230771/pywinpty-3.0.2-cp314-cp314-win_amd64.whl", hash = "sha256:28297cecc37bee9f24d8889e47231972d6e9e84f7b668909de54f36ca785029a", size = 2050386, upload-time = "2025-10-03T21:18:50.477Z" }, + { url = "https://files.pythonhosted.org/packages/de/24/c6907c5bb06043df98ad6a0a0ff5db2e0affcecbc3b15c42404393a3f72a/pywinpty-3.0.2-cp314-cp314t-win_amd64.whl", hash = "sha256:34b55ae9a1b671fe3eae071d86618110538e8eaad18fcb1531c0830b91a82767", size = 2049834, upload-time = "2025-10-03T21:19:25.688Z" }, ] [[package]] name = "pyyaml" 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/d1/33/422b98d2195232ca1826284a76852ad5a86fe23e31b009c9886b2d0fb8b2/pyyaml-6.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7f047e29dcae44602496db43be01ad42fc6f1cc0d8cd6c83d342306c32270196", size = 182063, upload_time = "2025-09-25T21:32:11.445Z" }, - { url = "https://files.pythonhosted.org/packages/89/a0/6cf41a19a1f2f3feab0e9c0b74134aa2ce6849093d5517a0c550fe37a648/pyyaml-6.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fc09d0aa354569bc501d4e787133afc08552722d3ab34836a80547331bb5d4a0", size = 173973, upload_time = "2025-09-25T21:32:12.492Z" }, - { url = "https://files.pythonhosted.org/packages/ed/23/7a778b6bd0b9a8039df8b1b1d80e2e2ad78aa04171592c8a5c43a56a6af4/pyyaml-6.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9149cad251584d5fb4981be1ecde53a1ca46c891a79788c0df828d2f166bda28", size = 775116, upload_time = "2025-09-25T21:32:13.652Z" }, - { url = "https://files.pythonhosted.org/packages/65/30/d7353c338e12baef4ecc1b09e877c1970bd3382789c159b4f89d6a70dc09/pyyaml-6.0.3-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5fdec68f91a0c6739b380c83b951e2c72ac0197ace422360e6d5a959d8d97b2c", size = 844011, upload_time = "2025-09-25T21:32:15.21Z" }, - { url = "https://files.pythonhosted.org/packages/8b/9d/b3589d3877982d4f2329302ef98a8026e7f4443c765c46cfecc8858c6b4b/pyyaml-6.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc", size = 807870, upload_time = "2025-09-25T21:32:16.431Z" }, - { url = "https://files.pythonhosted.org/packages/05/c0/b3be26a015601b822b97d9149ff8cb5ead58c66f981e04fedf4e762f4bd4/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8dc52c23056b9ddd46818a57b78404882310fb473d63f17b07d5c40421e47f8e", size = 761089, upload_time = "2025-09-25T21:32:17.56Z" }, - { url = "https://files.pythonhosted.org/packages/be/8e/98435a21d1d4b46590d5459a22d88128103f8da4c2d4cb8f14f2a96504e1/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:41715c910c881bc081f1e8872880d3c650acf13dfa8214bad49ed4cede7c34ea", size = 790181, upload_time = "2025-09-25T21:32:18.834Z" }, - { 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" }, +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/d1/33/422b98d2195232ca1826284a76852ad5a86fe23e31b009c9886b2d0fb8b2/pyyaml-6.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7f047e29dcae44602496db43be01ad42fc6f1cc0d8cd6c83d342306c32270196", size = 182063, upload-time = "2025-09-25T21:32:11.445Z" }, + { url = "https://files.pythonhosted.org/packages/89/a0/6cf41a19a1f2f3feab0e9c0b74134aa2ce6849093d5517a0c550fe37a648/pyyaml-6.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fc09d0aa354569bc501d4e787133afc08552722d3ab34836a80547331bb5d4a0", size = 173973, upload-time = "2025-09-25T21:32:12.492Z" }, + { url = "https://files.pythonhosted.org/packages/ed/23/7a778b6bd0b9a8039df8b1b1d80e2e2ad78aa04171592c8a5c43a56a6af4/pyyaml-6.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9149cad251584d5fb4981be1ecde53a1ca46c891a79788c0df828d2f166bda28", size = 775116, upload-time = "2025-09-25T21:32:13.652Z" }, + { url = "https://files.pythonhosted.org/packages/65/30/d7353c338e12baef4ecc1b09e877c1970bd3382789c159b4f89d6a70dc09/pyyaml-6.0.3-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5fdec68f91a0c6739b380c83b951e2c72ac0197ace422360e6d5a959d8d97b2c", size = 844011, upload-time = "2025-09-25T21:32:15.21Z" }, + { url = "https://files.pythonhosted.org/packages/8b/9d/b3589d3877982d4f2329302ef98a8026e7f4443c765c46cfecc8858c6b4b/pyyaml-6.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc", size = 807870, upload-time = "2025-09-25T21:32:16.431Z" }, + { url = "https://files.pythonhosted.org/packages/05/c0/b3be26a015601b822b97d9149ff8cb5ead58c66f981e04fedf4e762f4bd4/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8dc52c23056b9ddd46818a57b78404882310fb473d63f17b07d5c40421e47f8e", size = 761089, upload-time = "2025-09-25T21:32:17.56Z" }, + { url = "https://files.pythonhosted.org/packages/be/8e/98435a21d1d4b46590d5459a22d88128103f8da4c2d4cb8f14f2a96504e1/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:41715c910c881bc081f1e8872880d3c650acf13dfa8214bad49ed4cede7c34ea", size = 790181, upload-time = "2025-09-25T21:32:18.834Z" }, + { 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]] @@ -2044,40 +2080,40 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "cffi", marker = "implementation_name == 'pypy'" }, ] -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/92/e7/038aab64a946d535901103da16b953c8c9cc9c961dadcbf3609ed6428d23/pyzmq-27.1.0-cp312-abi3-macosx_10_15_universal2.whl", hash = "sha256:452631b640340c928fa343801b0d07eb0c3789a5ffa843f6e1a9cee0ba4eb4fc", size = 1306279, upload_time = "2025-09-08T23:08:03.807Z" }, - { url = "https://files.pythonhosted.org/packages/e8/5e/c3c49fdd0f535ef45eefcc16934648e9e59dace4a37ee88fc53f6cd8e641/pyzmq-27.1.0-cp312-abi3-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1c179799b118e554b66da67d88ed66cd37a169f1f23b5d9f0a231b4e8d44a113", size = 895645, upload_time = "2025-09-08T23:08:05.301Z" }, - { url = "https://files.pythonhosted.org/packages/f8/e5/b0b2504cb4e903a74dcf1ebae157f9e20ebb6ea76095f6cfffea28c42ecd/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3837439b7f99e60312f0c926a6ad437b067356dc2bc2ec96eb395fd0fe804233", size = 652574, upload_time = "2025-09-08T23:08:06.828Z" }, - { url = "https://files.pythonhosted.org/packages/f8/9b/c108cdb55560eaf253f0cbdb61b29971e9fb34d9c3499b0e96e4e60ed8a5/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43ad9a73e3da1fab5b0e7e13402f0b2fb934ae1c876c51d0afff0e7c052eca31", size = 840995, upload_time = "2025-09-08T23:08:08.396Z" }, - { url = "https://files.pythonhosted.org/packages/c2/bb/b79798ca177b9eb0825b4c9998c6af8cd2a7f15a6a1a4272c1d1a21d382f/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:0de3028d69d4cdc475bfe47a6128eb38d8bc0e8f4d69646adfbcd840facbac28", size = 1642070, upload_time = "2025-09-08T23:08:09.989Z" }, - { url = "https://files.pythonhosted.org/packages/9c/80/2df2e7977c4ede24c79ae39dcef3899bfc5f34d1ca7a5b24f182c9b7a9ca/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_i686.whl", hash = "sha256:cf44a7763aea9298c0aa7dbf859f87ed7012de8bda0f3977b6fb1d96745df856", size = 2021121, upload_time = "2025-09-08T23:08:11.907Z" }, - { url = "https://files.pythonhosted.org/packages/46/bd/2d45ad24f5f5ae7e8d01525eb76786fa7557136555cac7d929880519e33a/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f30f395a9e6fbca195400ce833c731e7b64c3919aa481af4d88c3759e0cb7496", size = 1878550, upload_time = "2025-09-08T23:08:13.513Z" }, - { 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/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" }, +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/92/e7/038aab64a946d535901103da16b953c8c9cc9c961dadcbf3609ed6428d23/pyzmq-27.1.0-cp312-abi3-macosx_10_15_universal2.whl", hash = "sha256:452631b640340c928fa343801b0d07eb0c3789a5ffa843f6e1a9cee0ba4eb4fc", size = 1306279, upload-time = "2025-09-08T23:08:03.807Z" }, + { url = "https://files.pythonhosted.org/packages/e8/5e/c3c49fdd0f535ef45eefcc16934648e9e59dace4a37ee88fc53f6cd8e641/pyzmq-27.1.0-cp312-abi3-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1c179799b118e554b66da67d88ed66cd37a169f1f23b5d9f0a231b4e8d44a113", size = 895645, upload-time = "2025-09-08T23:08:05.301Z" }, + { url = "https://files.pythonhosted.org/packages/f8/e5/b0b2504cb4e903a74dcf1ebae157f9e20ebb6ea76095f6cfffea28c42ecd/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3837439b7f99e60312f0c926a6ad437b067356dc2bc2ec96eb395fd0fe804233", size = 652574, upload-time = "2025-09-08T23:08:06.828Z" }, + { url = "https://files.pythonhosted.org/packages/f8/9b/c108cdb55560eaf253f0cbdb61b29971e9fb34d9c3499b0e96e4e60ed8a5/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43ad9a73e3da1fab5b0e7e13402f0b2fb934ae1c876c51d0afff0e7c052eca31", size = 840995, upload-time = "2025-09-08T23:08:08.396Z" }, + { url = "https://files.pythonhosted.org/packages/c2/bb/b79798ca177b9eb0825b4c9998c6af8cd2a7f15a6a1a4272c1d1a21d382f/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:0de3028d69d4cdc475bfe47a6128eb38d8bc0e8f4d69646adfbcd840facbac28", size = 1642070, upload-time = "2025-09-08T23:08:09.989Z" }, + { url = "https://files.pythonhosted.org/packages/9c/80/2df2e7977c4ede24c79ae39dcef3899bfc5f34d1ca7a5b24f182c9b7a9ca/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_i686.whl", hash = "sha256:cf44a7763aea9298c0aa7dbf859f87ed7012de8bda0f3977b6fb1d96745df856", size = 2021121, upload-time = "2025-09-08T23:08:11.907Z" }, + { url = "https://files.pythonhosted.org/packages/46/bd/2d45ad24f5f5ae7e8d01525eb76786fa7557136555cac7d929880519e33a/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f30f395a9e6fbca195400ce833c731e7b64c3919aa481af4d88c3759e0cb7496", size = 1878550, upload-time = "2025-09-08T23:08:13.513Z" }, + { 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/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" }, ] [[package]] @@ -2089,9 +2125,9 @@ dependencies = [ { name = "rpds-py" }, { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/22/f5/df4e9027acead3ecc63e50fe1e36aca1523e1719559c499951bb4b53188f/referencing-0.37.0.tar.gz", hash = "sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8", size = 78036, upload_time = "2025-10-13T15:30:48.871Z" } +sdist = { url = "https://files.pythonhosted.org/packages/22/f5/df4e9027acead3ecc63e50fe1e36aca1523e1719559c499951bb4b53188f/referencing-0.37.0.tar.gz", hash = "sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8", size = 78036, upload-time = "2025-10-13T15:30:48.871Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/2c/58/ca301544e1fa93ed4f80d724bf5b194f6e4b945841c5bfd555878eea9fcb/referencing-0.37.0-py3-none-any.whl", hash = "sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231", size = 26766, upload_time = "2025-10-13T15:30:47.625Z" }, + { url = "https://files.pythonhosted.org/packages/2c/58/ca301544e1fa93ed4f80d724bf5b194f6e4b945841c5bfd555878eea9fcb/referencing-0.37.0-py3-none-any.whl", hash = "sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231", size = 26766, upload-time = "2025-10-13T15:30:47.625Z" }, ] [[package]] @@ -2104,9 +2140,9 @@ dependencies = [ { name = "idna" }, { name = "urllib3" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/c9/74/b3ff8e6c8446842c3f5c837e9c3dfcfe2018ea6ecef224c710c85ef728f4/requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf", size = 134517, upload_time = "2025-08-18T20:46:02.573Z" } +sdist = { url = "https://files.pythonhosted.org/packages/c9/74/b3ff8e6c8446842c3f5c837e9c3dfcfe2018ea6ecef224c710c85ef728f4/requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf", size = 134517, upload-time = "2025-08-18T20:46:02.573Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/1e/db/4254e3eabe8020b458f1a747140d32277ec7a271daf1d235b70dc0b4e6e3/requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6", size = 64738, upload_time = "2025-08-18T20:46:00.542Z" }, + { url = "https://files.pythonhosted.org/packages/1e/db/4254e3eabe8020b458f1a747140d32277ec7a271daf1d235b70dc0b4e6e3/requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6", size = 64738, upload-time = "2025-08-18T20:46:00.542Z" }, ] [[package]] @@ -2116,18 +2152,18 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "six" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/28/ea/a9387748e2d111c3c2b275ba970b735e04e15cdb1eb30693b6b5708c4dbd/rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b", size = 5513, upload_time = "2021-05-12T16:37:54.178Z" } +sdist = { url = "https://files.pythonhosted.org/packages/28/ea/a9387748e2d111c3c2b275ba970b735e04e15cdb1eb30693b6b5708c4dbd/rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b", size = 5513, upload-time = "2021-05-12T16:37:54.178Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/7b/44/4e421b96b67b2daff264473f7465db72fbdf36a07e05494f50300cc7b0c6/rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa", size = 3490, upload_time = "2021-05-12T16:37:52.536Z" }, + { url = "https://files.pythonhosted.org/packages/7b/44/4e421b96b67b2daff264473f7465db72fbdf36a07e05494f50300cc7b0c6/rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa", size = 3490, upload-time = "2021-05-12T16:37:52.536Z" }, ] [[package]] name = "rfc3986-validator" version = "0.1.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/da/88/f270de456dd7d11dcc808abfa291ecdd3f45ff44e3b549ffa01b126464d0/rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055", size = 6760, upload_time = "2019-10-28T16:00:19.144Z" } +sdist = { url = "https://files.pythonhosted.org/packages/da/88/f270de456dd7d11dcc808abfa291ecdd3f45ff44e3b549ffa01b126464d0/rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055", size = 6760, upload-time = "2019-10-28T16:00:19.144Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/9e/51/17023c0f8f1869d8806b979a2bffa3f861f26a3f1a66b094288323fba52f/rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9", size = 4242, upload_time = "2019-10-28T16:00:13.976Z" }, + { url = "https://files.pythonhosted.org/packages/9e/51/17023c0f8f1869d8806b979a2bffa3f861f26a3f1a66b094288323fba52f/rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9", size = 4242, upload-time = "2019-10-28T16:00:13.976Z" }, ] [[package]] @@ -2137,99 +2173,99 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "lark" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/2c/06/37c1a5557acf449e8e406a830a05bf885ac47d33270aec454ef78675008d/rfc3987_syntax-1.1.0.tar.gz", hash = "sha256:717a62cbf33cffdd16dfa3a497d81ce48a660ea691b1ddd7be710c22f00b4a0d", size = 14239, upload_time = "2025-07-18T01:05:05.015Z" } +sdist = { url = "https://files.pythonhosted.org/packages/2c/06/37c1a5557acf449e8e406a830a05bf885ac47d33270aec454ef78675008d/rfc3987_syntax-1.1.0.tar.gz", hash = "sha256:717a62cbf33cffdd16dfa3a497d81ce48a660ea691b1ddd7be710c22f00b4a0d", size = 14239, upload-time = "2025-07-18T01:05:05.015Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/7e/71/44ce230e1b7fadd372515a97e32a83011f906ddded8d03e3c6aafbdedbb7/rfc3987_syntax-1.1.0-py3-none-any.whl", hash = "sha256:6c3d97604e4c5ce9f714898e05401a0445a641cfa276432b0a648c80856f6a3f", size = 8046, upload_time = "2025-07-18T01:05:03.843Z" }, + { url = "https://files.pythonhosted.org/packages/7e/71/44ce230e1b7fadd372515a97e32a83011f906ddded8d03e3c6aafbdedbb7/rfc3987_syntax-1.1.0-py3-none-any.whl", hash = "sha256:6c3d97604e4c5ce9f714898e05401a0445a641cfa276432b0a648c80856f6a3f", size = 8046, upload-time = "2025-07-18T01:05:03.843Z" }, ] [[package]] name = "roman-numerals-py" version = "3.1.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/30/76/48fd56d17c5bdbdf65609abbc67288728a98ed4c02919428d4f52d23b24b/roman_numerals_py-3.1.0.tar.gz", hash = "sha256:be4bf804f083a4ce001b5eb7e3c0862479d10f94c936f6c4e5f250aa5ff5bd2d", size = 9017, upload_time = "2025-02-22T07:34:54.333Z" } +sdist = { url = "https://files.pythonhosted.org/packages/30/76/48fd56d17c5bdbdf65609abbc67288728a98ed4c02919428d4f52d23b24b/roman_numerals_py-3.1.0.tar.gz", hash = "sha256:be4bf804f083a4ce001b5eb7e3c0862479d10f94c936f6c4e5f250aa5ff5bd2d", size = 9017, upload-time = "2025-02-22T07:34:54.333Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/53/97/d2cbbaa10c9b826af0e10fdf836e1bf344d9f0abb873ebc34d1f49642d3f/roman_numerals_py-3.1.0-py3-none-any.whl", hash = "sha256:9da2ad2fb670bcf24e81070ceb3be72f6c11c440d73bd579fbeca1e9f330954c", size = 7742, upload_time = "2025-02-22T07:34:52.422Z" }, + { url = "https://files.pythonhosted.org/packages/53/97/d2cbbaa10c9b826af0e10fdf836e1bf344d9f0abb873ebc34d1f49642d3f/roman_numerals_py-3.1.0-py3-none-any.whl", hash = "sha256:9da2ad2fb670bcf24e81070ceb3be72f6c11c440d73bd579fbeca1e9f330954c", size = 7742, upload-time = "2025-02-22T07:34:52.422Z" }, ] [[package]] name = "rpds-py" version = "0.30.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/20/af/3f2f423103f1113b36230496629986e0ef7e199d2aa8392452b484b38ced/rpds_py-0.30.0.tar.gz", hash = "sha256:dd8ff7cf90014af0c0f787eea34794ebf6415242ee1d6fa91eaba725cc441e84", size = 69469, upload_time = "2025-11-30T20:24:38.837Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/03/e7/98a2f4ac921d82f33e03f3835f5bf3a4a40aa1bfdc57975e74a97b2b4bdd/rpds_py-0.30.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a161f20d9a43006833cd7068375a94d035714d73a172b681d8881820600abfad", size = 375086, upload_time = "2025-11-30T20:22:17.93Z" }, - { url = "https://files.pythonhosted.org/packages/4d/a1/bca7fd3d452b272e13335db8d6b0b3ecde0f90ad6f16f3328c6fb150c889/rpds_py-0.30.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6abc8880d9d036ecaafe709079969f56e876fcf107f7a8e9920ba6d5a3878d05", size = 359053, upload_time = "2025-11-30T20:22:19.297Z" }, - { url = "https://files.pythonhosted.org/packages/65/1c/ae157e83a6357eceff62ba7e52113e3ec4834a84cfe07fa4b0757a7d105f/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca28829ae5f5d569bb62a79512c842a03a12576375d5ece7d2cadf8abe96ec28", size = 390763, upload_time = "2025-11-30T20:22:21.661Z" }, - { url = "https://files.pythonhosted.org/packages/d4/36/eb2eb8515e2ad24c0bd43c3ee9cd74c33f7ca6430755ccdb240fd3144c44/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1010ed9524c73b94d15919ca4d41d8780980e1765babf85f9a2f90d247153dd", size = 408951, upload_time = "2025-11-30T20:22:23.408Z" }, - { url = "https://files.pythonhosted.org/packages/d6/65/ad8dc1784a331fabbd740ef6f71ce2198c7ed0890dab595adb9ea2d775a1/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8d1736cfb49381ba528cd5baa46f82fdc65c06e843dab24dd70b63d09121b3f", size = 514622, upload_time = "2025-11-30T20:22:25.16Z" }, - { url = "https://files.pythonhosted.org/packages/63/8e/0cfa7ae158e15e143fe03993b5bcd743a59f541f5952e1546b1ac1b5fd45/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d948b135c4693daff7bc2dcfc4ec57237a29bd37e60c2fabf5aff2bbacf3e2f1", size = 414492, upload_time = "2025-11-30T20:22:26.505Z" }, - { url = "https://files.pythonhosted.org/packages/60/1b/6f8f29f3f995c7ffdde46a626ddccd7c63aefc0efae881dc13b6e5d5bb16/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47f236970bccb2233267d89173d3ad2703cd36a0e2a6e92d0560d333871a3d23", size = 394080, upload_time = "2025-11-30T20:22:27.934Z" }, - { url = "https://files.pythonhosted.org/packages/6d/d5/a266341051a7a3ca2f4b750a3aa4abc986378431fc2da508c5034d081b70/rpds_py-0.30.0-cp312-cp312-manylinux_2_31_riscv64.whl", hash = "sha256:2e6ecb5a5bcacf59c3f912155044479af1d0b6681280048b338b28e364aca1f6", size = 408680, upload_time = "2025-11-30T20:22:29.341Z" }, - { url = "https://files.pythonhosted.org/packages/10/3b/71b725851df9ab7a7a4e33cf36d241933da66040d195a84781f49c50490c/rpds_py-0.30.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a8fa71a2e078c527c3e9dc9fc5a98c9db40bcc8a92b4e8858e36d329f8684b51", size = 423589, upload_time = "2025-11-30T20:22:31.469Z" }, - { url = "https://files.pythonhosted.org/packages/00/2b/e59e58c544dc9bd8bd8384ecdb8ea91f6727f0e37a7131baeff8d6f51661/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:73c67f2db7bc334e518d097c6d1e6fed021bbc9b7d678d6cc433478365d1d5f5", size = 573289, upload_time = "2025-11-30T20:22:32.997Z" }, - { url = "https://files.pythonhosted.org/packages/da/3e/a18e6f5b460893172a7d6a680e86d3b6bc87a54c1f0b03446a3c8c7b588f/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:5ba103fb455be00f3b1c2076c9d4264bfcb037c976167a6047ed82f23153f02e", size = 599737, upload_time = "2025-11-30T20:22:34.419Z" }, - { url = "https://files.pythonhosted.org/packages/5c/e2/714694e4b87b85a18e2c243614974413c60aa107fd815b8cbc42b873d1d7/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7cee9c752c0364588353e627da8a7e808a66873672bcb5f52890c33fd965b394", size = 563120, upload_time = "2025-11-30T20:22:35.903Z" }, - { url = "https://files.pythonhosted.org/packages/6f/ab/d5d5e3bcedb0a77f4f613706b750e50a5a3ba1c15ccd3665ecc636c968fd/rpds_py-0.30.0-cp312-cp312-win32.whl", hash = "sha256:1ab5b83dbcf55acc8b08fc62b796ef672c457b17dbd7820a11d6c52c06839bdf", size = 223782, upload_time = "2025-11-30T20:22:37.271Z" }, - { url = "https://files.pythonhosted.org/packages/39/3b/f786af9957306fdc38a74cef405b7b93180f481fb48453a114bb6465744a/rpds_py-0.30.0-cp312-cp312-win_amd64.whl", hash = "sha256:a090322ca841abd453d43456ac34db46e8b05fd9b3b4ac0c78bcde8b089f959b", size = 240463, upload_time = "2025-11-30T20:22:39.021Z" }, - { url = "https://files.pythonhosted.org/packages/f3/d2/b91dc748126c1559042cfe41990deb92c4ee3e2b415f6b5234969ffaf0cc/rpds_py-0.30.0-cp312-cp312-win_arm64.whl", hash = "sha256:669b1805bd639dd2989b281be2cfd951c6121b65e729d9b843e9639ef1fd555e", size = 230868, upload_time = "2025-11-30T20:22:40.493Z" }, - { url = "https://files.pythonhosted.org/packages/ed/dc/d61221eb88ff410de3c49143407f6f3147acf2538c86f2ab7ce65ae7d5f9/rpds_py-0.30.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:f83424d738204d9770830d35290ff3273fbb02b41f919870479fab14b9d303b2", size = 374887, upload_time = "2025-11-30T20:22:41.812Z" }, - { url = "https://files.pythonhosted.org/packages/fd/32/55fb50ae104061dbc564ef15cc43c013dc4a9f4527a1f4d99baddf56fe5f/rpds_py-0.30.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e7536cd91353c5273434b4e003cbda89034d67e7710eab8761fd918ec6c69cf8", size = 358904, upload_time = "2025-11-30T20:22:43.479Z" }, - { url = "https://files.pythonhosted.org/packages/58/70/faed8186300e3b9bdd138d0273109784eea2396c68458ed580f885dfe7ad/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2771c6c15973347f50fece41fc447c054b7ac2ae0502388ce3b6738cd366e3d4", size = 389945, upload_time = "2025-11-30T20:22:44.819Z" }, - { url = "https://files.pythonhosted.org/packages/bd/a8/073cac3ed2c6387df38f71296d002ab43496a96b92c823e76f46b8af0543/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0a59119fc6e3f460315fe9d08149f8102aa322299deaa5cab5b40092345c2136", size = 407783, upload_time = "2025-11-30T20:22:46.103Z" }, - { url = "https://files.pythonhosted.org/packages/77/57/5999eb8c58671f1c11eba084115e77a8899d6e694d2a18f69f0ba471ec8b/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:76fec018282b4ead0364022e3c54b60bf368b9d926877957a8624b58419169b7", size = 515021, upload_time = "2025-11-30T20:22:47.458Z" }, - { url = "https://files.pythonhosted.org/packages/e0/af/5ab4833eadc36c0a8ed2bc5c0de0493c04f6c06de223170bd0798ff98ced/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:692bef75a5525db97318e8cd061542b5a79812d711ea03dbc1f6f8dbb0c5f0d2", size = 414589, upload_time = "2025-11-30T20:22:48.872Z" }, - { url = "https://files.pythonhosted.org/packages/b7/de/f7192e12b21b9e9a68a6d0f249b4af3fdcdff8418be0767a627564afa1f1/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9027da1ce107104c50c81383cae773ef5c24d296dd11c99e2629dbd7967a20c6", size = 394025, upload_time = "2025-11-30T20:22:50.196Z" }, - { url = "https://files.pythonhosted.org/packages/91/c4/fc70cd0249496493500e7cc2de87504f5aa6509de1e88623431fec76d4b6/rpds_py-0.30.0-cp313-cp313-manylinux_2_31_riscv64.whl", hash = "sha256:9cf69cdda1f5968a30a359aba2f7f9aa648a9ce4b580d6826437f2b291cfc86e", size = 408895, upload_time = "2025-11-30T20:22:51.87Z" }, - { url = "https://files.pythonhosted.org/packages/58/95/d9275b05ab96556fefff73a385813eb66032e4c99f411d0795372d9abcea/rpds_py-0.30.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a4796a717bf12b9da9d3ad002519a86063dcac8988b030e405704ef7d74d2d9d", size = 422799, upload_time = "2025-11-30T20:22:53.341Z" }, - { url = "https://files.pythonhosted.org/packages/06/c1/3088fc04b6624eb12a57eb814f0d4997a44b0d208d6cace713033ff1a6ba/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5d4c2aa7c50ad4728a094ebd5eb46c452e9cb7edbfdb18f9e1221f597a73e1e7", size = 572731, upload_time = "2025-11-30T20:22:54.778Z" }, - { url = "https://files.pythonhosted.org/packages/d8/42/c612a833183b39774e8ac8fecae81263a68b9583ee343db33ab571a7ce55/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ba81a9203d07805435eb06f536d95a266c21e5b2dfbf6517748ca40c98d19e31", size = 599027, upload_time = "2025-11-30T20:22:56.212Z" }, - { url = "https://files.pythonhosted.org/packages/5f/60/525a50f45b01d70005403ae0e25f43c0384369ad24ffe46e8d9068b50086/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:945dccface01af02675628334f7cf49c2af4c1c904748efc5cf7bbdf0b579f95", size = 563020, upload_time = "2025-11-30T20:22:58.2Z" }, - { url = "https://files.pythonhosted.org/packages/0b/5d/47c4655e9bcd5ca907148535c10e7d489044243cc9941c16ed7cd53be91d/rpds_py-0.30.0-cp313-cp313-win32.whl", hash = "sha256:b40fb160a2db369a194cb27943582b38f79fc4887291417685f3ad693c5a1d5d", size = 223139, upload_time = "2025-11-30T20:23:00.209Z" }, - { url = "https://files.pythonhosted.org/packages/f2/e1/485132437d20aa4d3e1d8b3fb5a5e65aa8139f1e097080c2a8443201742c/rpds_py-0.30.0-cp313-cp313-win_amd64.whl", hash = "sha256:806f36b1b605e2d6a72716f321f20036b9489d29c51c91f4dd29a3e3afb73b15", size = 240224, upload_time = "2025-11-30T20:23:02.008Z" }, - { url = "https://files.pythonhosted.org/packages/24/95/ffd128ed1146a153d928617b0ef673960130be0009c77d8fbf0abe306713/rpds_py-0.30.0-cp313-cp313-win_arm64.whl", hash = "sha256:d96c2086587c7c30d44f31f42eae4eac89b60dabbac18c7669be3700f13c3ce1", size = 230645, upload_time = "2025-11-30T20:23:03.43Z" }, - { url = "https://files.pythonhosted.org/packages/ff/1b/b10de890a0def2a319a2626334a7f0ae388215eb60914dbac8a3bae54435/rpds_py-0.30.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:eb0b93f2e5c2189ee831ee43f156ed34e2a89a78a66b98cadad955972548be5a", size = 364443, upload_time = "2025-11-30T20:23:04.878Z" }, - { url = "https://files.pythonhosted.org/packages/0d/bf/27e39f5971dc4f305a4fb9c672ca06f290f7c4e261c568f3dea16a410d47/rpds_py-0.30.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:922e10f31f303c7c920da8981051ff6d8c1a56207dbdf330d9047f6d30b70e5e", size = 353375, upload_time = "2025-11-30T20:23:06.342Z" }, - { url = "https://files.pythonhosted.org/packages/40/58/442ada3bba6e8e6615fc00483135c14a7538d2ffac30e2d933ccf6852232/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cdc62c8286ba9bf7f47befdcea13ea0e26bf294bda99758fd90535cbaf408000", size = 383850, upload_time = "2025-11-30T20:23:07.825Z" }, - { url = "https://files.pythonhosted.org/packages/14/14/f59b0127409a33c6ef6f5c1ebd5ad8e32d7861c9c7adfa9a624fc3889f6c/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:47f9a91efc418b54fb8190a6b4aa7813a23fb79c51f4bb84e418f5476c38b8db", size = 392812, upload_time = "2025-11-30T20:23:09.228Z" }, - { url = "https://files.pythonhosted.org/packages/b3/66/e0be3e162ac299b3a22527e8913767d869e6cc75c46bd844aa43fb81ab62/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1f3587eb9b17f3789ad50824084fa6f81921bbf9a795826570bda82cb3ed91f2", size = 517841, upload_time = "2025-11-30T20:23:11.186Z" }, - { url = "https://files.pythonhosted.org/packages/3d/55/fa3b9cf31d0c963ecf1ba777f7cf4b2a2c976795ac430d24a1f43d25a6ba/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39c02563fc592411c2c61d26b6c5fe1e51eaa44a75aa2c8735ca88b0d9599daa", size = 408149, upload_time = "2025-11-30T20:23:12.864Z" }, - { url = "https://files.pythonhosted.org/packages/60/ca/780cf3b1a32b18c0f05c441958d3758f02544f1d613abf9488cd78876378/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51a1234d8febafdfd33a42d97da7a43f5dcb120c1060e352a3fbc0c6d36e2083", size = 383843, upload_time = "2025-11-30T20:23:14.638Z" }, - { url = "https://files.pythonhosted.org/packages/82/86/d5f2e04f2aa6247c613da0c1dd87fcd08fa17107e858193566048a1e2f0a/rpds_py-0.30.0-cp313-cp313t-manylinux_2_31_riscv64.whl", hash = "sha256:eb2c4071ab598733724c08221091e8d80e89064cd472819285a9ab0f24bcedb9", size = 396507, upload_time = "2025-11-30T20:23:16.105Z" }, - { url = "https://files.pythonhosted.org/packages/4b/9a/453255d2f769fe44e07ea9785c8347edaf867f7026872e76c1ad9f7bed92/rpds_py-0.30.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6bdfdb946967d816e6adf9a3d8201bfad269c67efe6cefd7093ef959683c8de0", size = 414949, upload_time = "2025-11-30T20:23:17.539Z" }, - { url = "https://files.pythonhosted.org/packages/a3/31/622a86cdc0c45d6df0e9ccb6becdba5074735e7033c20e401a6d9d0e2ca0/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c77afbd5f5250bf27bf516c7c4a016813eb2d3e116139aed0096940c5982da94", size = 565790, upload_time = "2025-11-30T20:23:19.029Z" }, - { url = "https://files.pythonhosted.org/packages/1c/5d/15bbf0fb4a3f58a3b1c67855ec1efcc4ceaef4e86644665fff03e1b66d8d/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:61046904275472a76c8c90c9ccee9013d70a6d0f73eecefd38c1ae7c39045a08", size = 590217, upload_time = "2025-11-30T20:23:20.885Z" }, - { url = "https://files.pythonhosted.org/packages/6d/61/21b8c41f68e60c8cc3b2e25644f0e3681926020f11d06ab0b78e3c6bbff1/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c5f36a861bc4b7da6516dbdf302c55313afa09b81931e8280361a4f6c9a2d27", size = 555806, upload_time = "2025-11-30T20:23:22.488Z" }, - { url = "https://files.pythonhosted.org/packages/f9/39/7e067bb06c31de48de3eb200f9fc7c58982a4d3db44b07e73963e10d3be9/rpds_py-0.30.0-cp313-cp313t-win32.whl", hash = "sha256:3d4a69de7a3e50ffc214ae16d79d8fbb0922972da0356dcf4d0fdca2878559c6", size = 211341, upload_time = "2025-11-30T20:23:24.449Z" }, - { url = "https://files.pythonhosted.org/packages/0a/4d/222ef0b46443cf4cf46764d9c630f3fe4abaa7245be9417e56e9f52b8f65/rpds_py-0.30.0-cp313-cp313t-win_amd64.whl", hash = "sha256:f14fc5df50a716f7ece6a80b6c78bb35ea2ca47c499e422aa4463455dd96d56d", size = 225768, upload_time = "2025-11-30T20:23:25.908Z" }, - { url = "https://files.pythonhosted.org/packages/86/81/dad16382ebbd3d0e0328776d8fd7ca94220e4fa0798d1dc5e7da48cb3201/rpds_py-0.30.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:68f19c879420aa08f61203801423f6cd5ac5f0ac4ac82a2368a9fcd6a9a075e0", size = 362099, upload_time = "2025-11-30T20:23:27.316Z" }, - { url = "https://files.pythonhosted.org/packages/2b/60/19f7884db5d5603edf3c6bce35408f45ad3e97e10007df0e17dd57af18f8/rpds_py-0.30.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ec7c4490c672c1a0389d319b3a9cfcd098dcdc4783991553c332a15acf7249be", size = 353192, upload_time = "2025-11-30T20:23:29.151Z" }, - { url = "https://files.pythonhosted.org/packages/bf/c4/76eb0e1e72d1a9c4703c69607cec123c29028bff28ce41588792417098ac/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f251c812357a3fed308d684a5079ddfb9d933860fc6de89f2b7ab00da481e65f", size = 384080, upload_time = "2025-11-30T20:23:30.785Z" }, - { url = "https://files.pythonhosted.org/packages/72/87/87ea665e92f3298d1b26d78814721dc39ed8d2c74b86e83348d6b48a6f31/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ac98b175585ecf4c0348fd7b29c3864bda53b805c773cbf7bfdaffc8070c976f", size = 394841, upload_time = "2025-11-30T20:23:32.209Z" }, - { url = "https://files.pythonhosted.org/packages/77/ad/7783a89ca0587c15dcbf139b4a8364a872a25f861bdb88ed99f9b0dec985/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3e62880792319dbeb7eb866547f2e35973289e7d5696c6e295476448f5b63c87", size = 516670, upload_time = "2025-11-30T20:23:33.742Z" }, - { url = "https://files.pythonhosted.org/packages/5b/3c/2882bdac942bd2172f3da574eab16f309ae10a3925644e969536553cb4ee/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4e7fc54e0900ab35d041b0601431b0a0eb495f0851a0639b6ef90f7741b39a18", size = 408005, upload_time = "2025-11-30T20:23:35.253Z" }, - { url = "https://files.pythonhosted.org/packages/ce/81/9a91c0111ce1758c92516a3e44776920b579d9a7c09b2b06b642d4de3f0f/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47e77dc9822d3ad616c3d5759ea5631a75e5809d5a28707744ef79d7a1bcfcad", size = 382112, upload_time = "2025-11-30T20:23:36.842Z" }, - { url = "https://files.pythonhosted.org/packages/cf/8e/1da49d4a107027e5fbc64daeab96a0706361a2918da10cb41769244b805d/rpds_py-0.30.0-cp314-cp314-manylinux_2_31_riscv64.whl", hash = "sha256:b4dc1a6ff022ff85ecafef7979a2c6eb423430e05f1165d6688234e62ba99a07", size = 399049, upload_time = "2025-11-30T20:23:38.343Z" }, - { url = "https://files.pythonhosted.org/packages/df/5a/7ee239b1aa48a127570ec03becbb29c9d5a9eb092febbd1699d567cae859/rpds_py-0.30.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4559c972db3a360808309e06a74628b95eaccbf961c335c8fe0d590cf587456f", size = 415661, upload_time = "2025-11-30T20:23:40.263Z" }, - { url = "https://files.pythonhosted.org/packages/70/ea/caa143cf6b772f823bc7929a45da1fa83569ee49b11d18d0ada7f5ee6fd6/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:0ed177ed9bded28f8deb6ab40c183cd1192aa0de40c12f38be4d59cd33cb5c65", size = 565606, upload_time = "2025-11-30T20:23:42.186Z" }, - { url = "https://files.pythonhosted.org/packages/64/91/ac20ba2d69303f961ad8cf55bf7dbdb4763f627291ba3d0d7d67333cced9/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:ad1fa8db769b76ea911cb4e10f049d80bf518c104f15b3edb2371cc65375c46f", size = 591126, upload_time = "2025-11-30T20:23:44.086Z" }, - { url = "https://files.pythonhosted.org/packages/21/20/7ff5f3c8b00c8a95f75985128c26ba44503fb35b8e0259d812766ea966c7/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:46e83c697b1f1c72b50e5ee5adb4353eef7406fb3f2043d64c33f20ad1c2fc53", size = 553371, upload_time = "2025-11-30T20:23:46.004Z" }, - { url = "https://files.pythonhosted.org/packages/72/c7/81dadd7b27c8ee391c132a6b192111ca58d866577ce2d9b0ca157552cce0/rpds_py-0.30.0-cp314-cp314-win32.whl", hash = "sha256:ee454b2a007d57363c2dfd5b6ca4a5d7e2c518938f8ed3b706e37e5d470801ed", size = 215298, upload_time = "2025-11-30T20:23:47.696Z" }, - { url = "https://files.pythonhosted.org/packages/3e/d2/1aaac33287e8cfb07aab2e6b8ac1deca62f6f65411344f1433c55e6f3eb8/rpds_py-0.30.0-cp314-cp314-win_amd64.whl", hash = "sha256:95f0802447ac2d10bcc69f6dc28fe95fdf17940367b21d34e34c737870758950", size = 228604, upload_time = "2025-11-30T20:23:49.501Z" }, - { url = "https://files.pythonhosted.org/packages/e8/95/ab005315818cc519ad074cb7784dae60d939163108bd2b394e60dc7b5461/rpds_py-0.30.0-cp314-cp314-win_arm64.whl", hash = "sha256:613aa4771c99f03346e54c3f038e4cc574ac09a3ddfb0e8878487335e96dead6", size = 222391, upload_time = "2025-11-30T20:23:50.96Z" }, - { url = "https://files.pythonhosted.org/packages/9e/68/154fe0194d83b973cdedcdcc88947a2752411165930182ae41d983dcefa6/rpds_py-0.30.0-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:7e6ecfcb62edfd632e56983964e6884851786443739dbfe3582947e87274f7cb", size = 364868, upload_time = "2025-11-30T20:23:52.494Z" }, - { url = "https://files.pythonhosted.org/packages/83/69/8bbc8b07ec854d92a8b75668c24d2abcb1719ebf890f5604c61c9369a16f/rpds_py-0.30.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:a1d0bc22a7cdc173fedebb73ef81e07faef93692b8c1ad3733b67e31e1b6e1b8", size = 353747, upload_time = "2025-11-30T20:23:54.036Z" }, - { url = "https://files.pythonhosted.org/packages/ab/00/ba2e50183dbd9abcce9497fa5149c62b4ff3e22d338a30d690f9af970561/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d08f00679177226c4cb8c5265012eea897c8ca3b93f429e546600c971bcbae7", size = 383795, upload_time = "2025-11-30T20:23:55.556Z" }, - { url = "https://files.pythonhosted.org/packages/05/6f/86f0272b84926bcb0e4c972262f54223e8ecc556b3224d281e6598fc9268/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5965af57d5848192c13534f90f9dd16464f3c37aaf166cc1da1cae1fd5a34898", size = 393330, upload_time = "2025-11-30T20:23:57.033Z" }, - { url = "https://files.pythonhosted.org/packages/cb/e9/0e02bb2e6dc63d212641da45df2b0bf29699d01715913e0d0f017ee29438/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a4e86e34e9ab6b667c27f3211ca48f73dba7cd3d90f8d5b11be56e5dbc3fb4e", size = 518194, upload_time = "2025-11-30T20:23:58.637Z" }, - { url = "https://files.pythonhosted.org/packages/ee/ca/be7bca14cf21513bdf9c0606aba17d1f389ea2b6987035eb4f62bd923f25/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5d3e6b26f2c785d65cc25ef1e5267ccbe1b069c5c21b8cc724efee290554419", size = 408340, upload_time = "2025-11-30T20:24:00.2Z" }, - { url = "https://files.pythonhosted.org/packages/c2/c7/736e00ebf39ed81d75544c0da6ef7b0998f8201b369acf842f9a90dc8fce/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:626a7433c34566535b6e56a1b39a7b17ba961e97ce3b80ec62e6f1312c025551", size = 383765, upload_time = "2025-11-30T20:24:01.759Z" }, - { url = "https://files.pythonhosted.org/packages/4a/3f/da50dfde9956aaf365c4adc9533b100008ed31aea635f2b8d7b627e25b49/rpds_py-0.30.0-cp314-cp314t-manylinux_2_31_riscv64.whl", hash = "sha256:acd7eb3f4471577b9b5a41baf02a978e8bdeb08b4b355273994f8b87032000a8", size = 396834, upload_time = "2025-11-30T20:24:03.687Z" }, - { url = "https://files.pythonhosted.org/packages/4e/00/34bcc2565b6020eab2623349efbdec810676ad571995911f1abdae62a3a0/rpds_py-0.30.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fe5fa731a1fa8a0a56b0977413f8cacac1768dad38d16b3a296712709476fbd5", size = 415470, upload_time = "2025-11-30T20:24:05.232Z" }, - { url = "https://files.pythonhosted.org/packages/8c/28/882e72b5b3e6f718d5453bd4d0d9cf8df36fddeb4ddbbab17869d5868616/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:74a3243a411126362712ee1524dfc90c650a503502f135d54d1b352bd01f2404", size = 565630, upload_time = "2025-11-30T20:24:06.878Z" }, - { url = "https://files.pythonhosted.org/packages/3b/97/04a65539c17692de5b85c6e293520fd01317fd878ea1995f0367d4532fb1/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:3e8eeb0544f2eb0d2581774be4c3410356eba189529a6b3e36bbbf9696175856", size = 591148, upload_time = "2025-11-30T20:24:08.445Z" }, - { url = "https://files.pythonhosted.org/packages/85/70/92482ccffb96f5441aab93e26c4d66489eb599efdcf96fad90c14bbfb976/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:dbd936cde57abfee19ab3213cf9c26be06d60750e60a8e4dd85d1ab12c8b1f40", size = 556030, upload_time = "2025-11-30T20:24:10.956Z" }, - { url = "https://files.pythonhosted.org/packages/20/53/7c7e784abfa500a2b6b583b147ee4bb5a2b3747a9166bab52fec4b5b5e7d/rpds_py-0.30.0-cp314-cp314t-win32.whl", hash = "sha256:dc824125c72246d924f7f796b4f63c1e9dc810c7d9e2355864b3c3a73d59ade0", size = 211570, upload_time = "2025-11-30T20:24:12.735Z" }, - { url = "https://files.pythonhosted.org/packages/d0/02/fa464cdfbe6b26e0600b62c528b72d8608f5cc49f96b8d6e38c95d60c676/rpds_py-0.30.0-cp314-cp314t-win_amd64.whl", hash = "sha256:27f4b0e92de5bfbc6f86e43959e6edd1425c33b5e69aab0984a72047f2bcf1e3", size = 226532, upload_time = "2025-11-30T20:24:14.634Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/20/af/3f2f423103f1113b36230496629986e0ef7e199d2aa8392452b484b38ced/rpds_py-0.30.0.tar.gz", hash = "sha256:dd8ff7cf90014af0c0f787eea34794ebf6415242ee1d6fa91eaba725cc441e84", size = 69469, upload-time = "2025-11-30T20:24:38.837Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/03/e7/98a2f4ac921d82f33e03f3835f5bf3a4a40aa1bfdc57975e74a97b2b4bdd/rpds_py-0.30.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a161f20d9a43006833cd7068375a94d035714d73a172b681d8881820600abfad", size = 375086, upload-time = "2025-11-30T20:22:17.93Z" }, + { url = "https://files.pythonhosted.org/packages/4d/a1/bca7fd3d452b272e13335db8d6b0b3ecde0f90ad6f16f3328c6fb150c889/rpds_py-0.30.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6abc8880d9d036ecaafe709079969f56e876fcf107f7a8e9920ba6d5a3878d05", size = 359053, upload-time = "2025-11-30T20:22:19.297Z" }, + { url = "https://files.pythonhosted.org/packages/65/1c/ae157e83a6357eceff62ba7e52113e3ec4834a84cfe07fa4b0757a7d105f/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca28829ae5f5d569bb62a79512c842a03a12576375d5ece7d2cadf8abe96ec28", size = 390763, upload-time = "2025-11-30T20:22:21.661Z" }, + { url = "https://files.pythonhosted.org/packages/d4/36/eb2eb8515e2ad24c0bd43c3ee9cd74c33f7ca6430755ccdb240fd3144c44/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1010ed9524c73b94d15919ca4d41d8780980e1765babf85f9a2f90d247153dd", size = 408951, upload-time = "2025-11-30T20:22:23.408Z" }, + { url = "https://files.pythonhosted.org/packages/d6/65/ad8dc1784a331fabbd740ef6f71ce2198c7ed0890dab595adb9ea2d775a1/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8d1736cfb49381ba528cd5baa46f82fdc65c06e843dab24dd70b63d09121b3f", size = 514622, upload-time = "2025-11-30T20:22:25.16Z" }, + { url = "https://files.pythonhosted.org/packages/63/8e/0cfa7ae158e15e143fe03993b5bcd743a59f541f5952e1546b1ac1b5fd45/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d948b135c4693daff7bc2dcfc4ec57237a29bd37e60c2fabf5aff2bbacf3e2f1", size = 414492, upload-time = "2025-11-30T20:22:26.505Z" }, + { url = "https://files.pythonhosted.org/packages/60/1b/6f8f29f3f995c7ffdde46a626ddccd7c63aefc0efae881dc13b6e5d5bb16/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47f236970bccb2233267d89173d3ad2703cd36a0e2a6e92d0560d333871a3d23", size = 394080, upload-time = "2025-11-30T20:22:27.934Z" }, + { url = "https://files.pythonhosted.org/packages/6d/d5/a266341051a7a3ca2f4b750a3aa4abc986378431fc2da508c5034d081b70/rpds_py-0.30.0-cp312-cp312-manylinux_2_31_riscv64.whl", hash = "sha256:2e6ecb5a5bcacf59c3f912155044479af1d0b6681280048b338b28e364aca1f6", size = 408680, upload-time = "2025-11-30T20:22:29.341Z" }, + { url = "https://files.pythonhosted.org/packages/10/3b/71b725851df9ab7a7a4e33cf36d241933da66040d195a84781f49c50490c/rpds_py-0.30.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a8fa71a2e078c527c3e9dc9fc5a98c9db40bcc8a92b4e8858e36d329f8684b51", size = 423589, upload-time = "2025-11-30T20:22:31.469Z" }, + { url = "https://files.pythonhosted.org/packages/00/2b/e59e58c544dc9bd8bd8384ecdb8ea91f6727f0e37a7131baeff8d6f51661/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:73c67f2db7bc334e518d097c6d1e6fed021bbc9b7d678d6cc433478365d1d5f5", size = 573289, upload-time = "2025-11-30T20:22:32.997Z" }, + { url = "https://files.pythonhosted.org/packages/da/3e/a18e6f5b460893172a7d6a680e86d3b6bc87a54c1f0b03446a3c8c7b588f/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:5ba103fb455be00f3b1c2076c9d4264bfcb037c976167a6047ed82f23153f02e", size = 599737, upload-time = "2025-11-30T20:22:34.419Z" }, + { url = "https://files.pythonhosted.org/packages/5c/e2/714694e4b87b85a18e2c243614974413c60aa107fd815b8cbc42b873d1d7/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7cee9c752c0364588353e627da8a7e808a66873672bcb5f52890c33fd965b394", size = 563120, upload-time = "2025-11-30T20:22:35.903Z" }, + { url = "https://files.pythonhosted.org/packages/6f/ab/d5d5e3bcedb0a77f4f613706b750e50a5a3ba1c15ccd3665ecc636c968fd/rpds_py-0.30.0-cp312-cp312-win32.whl", hash = "sha256:1ab5b83dbcf55acc8b08fc62b796ef672c457b17dbd7820a11d6c52c06839bdf", size = 223782, upload-time = "2025-11-30T20:22:37.271Z" }, + { url = "https://files.pythonhosted.org/packages/39/3b/f786af9957306fdc38a74cef405b7b93180f481fb48453a114bb6465744a/rpds_py-0.30.0-cp312-cp312-win_amd64.whl", hash = "sha256:a090322ca841abd453d43456ac34db46e8b05fd9b3b4ac0c78bcde8b089f959b", size = 240463, upload-time = "2025-11-30T20:22:39.021Z" }, + { url = "https://files.pythonhosted.org/packages/f3/d2/b91dc748126c1559042cfe41990deb92c4ee3e2b415f6b5234969ffaf0cc/rpds_py-0.30.0-cp312-cp312-win_arm64.whl", hash = "sha256:669b1805bd639dd2989b281be2cfd951c6121b65e729d9b843e9639ef1fd555e", size = 230868, upload-time = "2025-11-30T20:22:40.493Z" }, + { url = "https://files.pythonhosted.org/packages/ed/dc/d61221eb88ff410de3c49143407f6f3147acf2538c86f2ab7ce65ae7d5f9/rpds_py-0.30.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:f83424d738204d9770830d35290ff3273fbb02b41f919870479fab14b9d303b2", size = 374887, upload-time = "2025-11-30T20:22:41.812Z" }, + { url = "https://files.pythonhosted.org/packages/fd/32/55fb50ae104061dbc564ef15cc43c013dc4a9f4527a1f4d99baddf56fe5f/rpds_py-0.30.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e7536cd91353c5273434b4e003cbda89034d67e7710eab8761fd918ec6c69cf8", size = 358904, upload-time = "2025-11-30T20:22:43.479Z" }, + { url = "https://files.pythonhosted.org/packages/58/70/faed8186300e3b9bdd138d0273109784eea2396c68458ed580f885dfe7ad/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2771c6c15973347f50fece41fc447c054b7ac2ae0502388ce3b6738cd366e3d4", size = 389945, upload-time = "2025-11-30T20:22:44.819Z" }, + { url = "https://files.pythonhosted.org/packages/bd/a8/073cac3ed2c6387df38f71296d002ab43496a96b92c823e76f46b8af0543/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0a59119fc6e3f460315fe9d08149f8102aa322299deaa5cab5b40092345c2136", size = 407783, upload-time = "2025-11-30T20:22:46.103Z" }, + { url = "https://files.pythonhosted.org/packages/77/57/5999eb8c58671f1c11eba084115e77a8899d6e694d2a18f69f0ba471ec8b/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:76fec018282b4ead0364022e3c54b60bf368b9d926877957a8624b58419169b7", size = 515021, upload-time = "2025-11-30T20:22:47.458Z" }, + { url = "https://files.pythonhosted.org/packages/e0/af/5ab4833eadc36c0a8ed2bc5c0de0493c04f6c06de223170bd0798ff98ced/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:692bef75a5525db97318e8cd061542b5a79812d711ea03dbc1f6f8dbb0c5f0d2", size = 414589, upload-time = "2025-11-30T20:22:48.872Z" }, + { url = "https://files.pythonhosted.org/packages/b7/de/f7192e12b21b9e9a68a6d0f249b4af3fdcdff8418be0767a627564afa1f1/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9027da1ce107104c50c81383cae773ef5c24d296dd11c99e2629dbd7967a20c6", size = 394025, upload-time = "2025-11-30T20:22:50.196Z" }, + { url = "https://files.pythonhosted.org/packages/91/c4/fc70cd0249496493500e7cc2de87504f5aa6509de1e88623431fec76d4b6/rpds_py-0.30.0-cp313-cp313-manylinux_2_31_riscv64.whl", hash = "sha256:9cf69cdda1f5968a30a359aba2f7f9aa648a9ce4b580d6826437f2b291cfc86e", size = 408895, upload-time = "2025-11-30T20:22:51.87Z" }, + { url = "https://files.pythonhosted.org/packages/58/95/d9275b05ab96556fefff73a385813eb66032e4c99f411d0795372d9abcea/rpds_py-0.30.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a4796a717bf12b9da9d3ad002519a86063dcac8988b030e405704ef7d74d2d9d", size = 422799, upload-time = "2025-11-30T20:22:53.341Z" }, + { url = "https://files.pythonhosted.org/packages/06/c1/3088fc04b6624eb12a57eb814f0d4997a44b0d208d6cace713033ff1a6ba/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5d4c2aa7c50ad4728a094ebd5eb46c452e9cb7edbfdb18f9e1221f597a73e1e7", size = 572731, upload-time = "2025-11-30T20:22:54.778Z" }, + { url = "https://files.pythonhosted.org/packages/d8/42/c612a833183b39774e8ac8fecae81263a68b9583ee343db33ab571a7ce55/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ba81a9203d07805435eb06f536d95a266c21e5b2dfbf6517748ca40c98d19e31", size = 599027, upload-time = "2025-11-30T20:22:56.212Z" }, + { url = "https://files.pythonhosted.org/packages/5f/60/525a50f45b01d70005403ae0e25f43c0384369ad24ffe46e8d9068b50086/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:945dccface01af02675628334f7cf49c2af4c1c904748efc5cf7bbdf0b579f95", size = 563020, upload-time = "2025-11-30T20:22:58.2Z" }, + { url = "https://files.pythonhosted.org/packages/0b/5d/47c4655e9bcd5ca907148535c10e7d489044243cc9941c16ed7cd53be91d/rpds_py-0.30.0-cp313-cp313-win32.whl", hash = "sha256:b40fb160a2db369a194cb27943582b38f79fc4887291417685f3ad693c5a1d5d", size = 223139, upload-time = "2025-11-30T20:23:00.209Z" }, + { url = "https://files.pythonhosted.org/packages/f2/e1/485132437d20aa4d3e1d8b3fb5a5e65aa8139f1e097080c2a8443201742c/rpds_py-0.30.0-cp313-cp313-win_amd64.whl", hash = "sha256:806f36b1b605e2d6a72716f321f20036b9489d29c51c91f4dd29a3e3afb73b15", size = 240224, upload-time = "2025-11-30T20:23:02.008Z" }, + { url = "https://files.pythonhosted.org/packages/24/95/ffd128ed1146a153d928617b0ef673960130be0009c77d8fbf0abe306713/rpds_py-0.30.0-cp313-cp313-win_arm64.whl", hash = "sha256:d96c2086587c7c30d44f31f42eae4eac89b60dabbac18c7669be3700f13c3ce1", size = 230645, upload-time = "2025-11-30T20:23:03.43Z" }, + { url = "https://files.pythonhosted.org/packages/ff/1b/b10de890a0def2a319a2626334a7f0ae388215eb60914dbac8a3bae54435/rpds_py-0.30.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:eb0b93f2e5c2189ee831ee43f156ed34e2a89a78a66b98cadad955972548be5a", size = 364443, upload-time = "2025-11-30T20:23:04.878Z" }, + { url = "https://files.pythonhosted.org/packages/0d/bf/27e39f5971dc4f305a4fb9c672ca06f290f7c4e261c568f3dea16a410d47/rpds_py-0.30.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:922e10f31f303c7c920da8981051ff6d8c1a56207dbdf330d9047f6d30b70e5e", size = 353375, upload-time = "2025-11-30T20:23:06.342Z" }, + { url = "https://files.pythonhosted.org/packages/40/58/442ada3bba6e8e6615fc00483135c14a7538d2ffac30e2d933ccf6852232/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cdc62c8286ba9bf7f47befdcea13ea0e26bf294bda99758fd90535cbaf408000", size = 383850, upload-time = "2025-11-30T20:23:07.825Z" }, + { url = "https://files.pythonhosted.org/packages/14/14/f59b0127409a33c6ef6f5c1ebd5ad8e32d7861c9c7adfa9a624fc3889f6c/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:47f9a91efc418b54fb8190a6b4aa7813a23fb79c51f4bb84e418f5476c38b8db", size = 392812, upload-time = "2025-11-30T20:23:09.228Z" }, + { url = "https://files.pythonhosted.org/packages/b3/66/e0be3e162ac299b3a22527e8913767d869e6cc75c46bd844aa43fb81ab62/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1f3587eb9b17f3789ad50824084fa6f81921bbf9a795826570bda82cb3ed91f2", size = 517841, upload-time = "2025-11-30T20:23:11.186Z" }, + { url = "https://files.pythonhosted.org/packages/3d/55/fa3b9cf31d0c963ecf1ba777f7cf4b2a2c976795ac430d24a1f43d25a6ba/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39c02563fc592411c2c61d26b6c5fe1e51eaa44a75aa2c8735ca88b0d9599daa", size = 408149, upload-time = "2025-11-30T20:23:12.864Z" }, + { url = "https://files.pythonhosted.org/packages/60/ca/780cf3b1a32b18c0f05c441958d3758f02544f1d613abf9488cd78876378/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51a1234d8febafdfd33a42d97da7a43f5dcb120c1060e352a3fbc0c6d36e2083", size = 383843, upload-time = "2025-11-30T20:23:14.638Z" }, + { url = "https://files.pythonhosted.org/packages/82/86/d5f2e04f2aa6247c613da0c1dd87fcd08fa17107e858193566048a1e2f0a/rpds_py-0.30.0-cp313-cp313t-manylinux_2_31_riscv64.whl", hash = "sha256:eb2c4071ab598733724c08221091e8d80e89064cd472819285a9ab0f24bcedb9", size = 396507, upload-time = "2025-11-30T20:23:16.105Z" }, + { url = "https://files.pythonhosted.org/packages/4b/9a/453255d2f769fe44e07ea9785c8347edaf867f7026872e76c1ad9f7bed92/rpds_py-0.30.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6bdfdb946967d816e6adf9a3d8201bfad269c67efe6cefd7093ef959683c8de0", size = 414949, upload-time = "2025-11-30T20:23:17.539Z" }, + { url = "https://files.pythonhosted.org/packages/a3/31/622a86cdc0c45d6df0e9ccb6becdba5074735e7033c20e401a6d9d0e2ca0/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c77afbd5f5250bf27bf516c7c4a016813eb2d3e116139aed0096940c5982da94", size = 565790, upload-time = "2025-11-30T20:23:19.029Z" }, + { url = "https://files.pythonhosted.org/packages/1c/5d/15bbf0fb4a3f58a3b1c67855ec1efcc4ceaef4e86644665fff03e1b66d8d/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:61046904275472a76c8c90c9ccee9013d70a6d0f73eecefd38c1ae7c39045a08", size = 590217, upload-time = "2025-11-30T20:23:20.885Z" }, + { url = "https://files.pythonhosted.org/packages/6d/61/21b8c41f68e60c8cc3b2e25644f0e3681926020f11d06ab0b78e3c6bbff1/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c5f36a861bc4b7da6516dbdf302c55313afa09b81931e8280361a4f6c9a2d27", size = 555806, upload-time = "2025-11-30T20:23:22.488Z" }, + { url = "https://files.pythonhosted.org/packages/f9/39/7e067bb06c31de48de3eb200f9fc7c58982a4d3db44b07e73963e10d3be9/rpds_py-0.30.0-cp313-cp313t-win32.whl", hash = "sha256:3d4a69de7a3e50ffc214ae16d79d8fbb0922972da0356dcf4d0fdca2878559c6", size = 211341, upload-time = "2025-11-30T20:23:24.449Z" }, + { url = "https://files.pythonhosted.org/packages/0a/4d/222ef0b46443cf4cf46764d9c630f3fe4abaa7245be9417e56e9f52b8f65/rpds_py-0.30.0-cp313-cp313t-win_amd64.whl", hash = "sha256:f14fc5df50a716f7ece6a80b6c78bb35ea2ca47c499e422aa4463455dd96d56d", size = 225768, upload-time = "2025-11-30T20:23:25.908Z" }, + { url = "https://files.pythonhosted.org/packages/86/81/dad16382ebbd3d0e0328776d8fd7ca94220e4fa0798d1dc5e7da48cb3201/rpds_py-0.30.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:68f19c879420aa08f61203801423f6cd5ac5f0ac4ac82a2368a9fcd6a9a075e0", size = 362099, upload-time = "2025-11-30T20:23:27.316Z" }, + { url = "https://files.pythonhosted.org/packages/2b/60/19f7884db5d5603edf3c6bce35408f45ad3e97e10007df0e17dd57af18f8/rpds_py-0.30.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ec7c4490c672c1a0389d319b3a9cfcd098dcdc4783991553c332a15acf7249be", size = 353192, upload-time = "2025-11-30T20:23:29.151Z" }, + { url = "https://files.pythonhosted.org/packages/bf/c4/76eb0e1e72d1a9c4703c69607cec123c29028bff28ce41588792417098ac/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f251c812357a3fed308d684a5079ddfb9d933860fc6de89f2b7ab00da481e65f", size = 384080, upload-time = "2025-11-30T20:23:30.785Z" }, + { url = "https://files.pythonhosted.org/packages/72/87/87ea665e92f3298d1b26d78814721dc39ed8d2c74b86e83348d6b48a6f31/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ac98b175585ecf4c0348fd7b29c3864bda53b805c773cbf7bfdaffc8070c976f", size = 394841, upload-time = "2025-11-30T20:23:32.209Z" }, + { url = "https://files.pythonhosted.org/packages/77/ad/7783a89ca0587c15dcbf139b4a8364a872a25f861bdb88ed99f9b0dec985/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3e62880792319dbeb7eb866547f2e35973289e7d5696c6e295476448f5b63c87", size = 516670, upload-time = "2025-11-30T20:23:33.742Z" }, + { url = "https://files.pythonhosted.org/packages/5b/3c/2882bdac942bd2172f3da574eab16f309ae10a3925644e969536553cb4ee/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4e7fc54e0900ab35d041b0601431b0a0eb495f0851a0639b6ef90f7741b39a18", size = 408005, upload-time = "2025-11-30T20:23:35.253Z" }, + { url = "https://files.pythonhosted.org/packages/ce/81/9a91c0111ce1758c92516a3e44776920b579d9a7c09b2b06b642d4de3f0f/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47e77dc9822d3ad616c3d5759ea5631a75e5809d5a28707744ef79d7a1bcfcad", size = 382112, upload-time = "2025-11-30T20:23:36.842Z" }, + { url = "https://files.pythonhosted.org/packages/cf/8e/1da49d4a107027e5fbc64daeab96a0706361a2918da10cb41769244b805d/rpds_py-0.30.0-cp314-cp314-manylinux_2_31_riscv64.whl", hash = "sha256:b4dc1a6ff022ff85ecafef7979a2c6eb423430e05f1165d6688234e62ba99a07", size = 399049, upload-time = "2025-11-30T20:23:38.343Z" }, + { url = "https://files.pythonhosted.org/packages/df/5a/7ee239b1aa48a127570ec03becbb29c9d5a9eb092febbd1699d567cae859/rpds_py-0.30.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4559c972db3a360808309e06a74628b95eaccbf961c335c8fe0d590cf587456f", size = 415661, upload-time = "2025-11-30T20:23:40.263Z" }, + { url = "https://files.pythonhosted.org/packages/70/ea/caa143cf6b772f823bc7929a45da1fa83569ee49b11d18d0ada7f5ee6fd6/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:0ed177ed9bded28f8deb6ab40c183cd1192aa0de40c12f38be4d59cd33cb5c65", size = 565606, upload-time = "2025-11-30T20:23:42.186Z" }, + { url = "https://files.pythonhosted.org/packages/64/91/ac20ba2d69303f961ad8cf55bf7dbdb4763f627291ba3d0d7d67333cced9/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:ad1fa8db769b76ea911cb4e10f049d80bf518c104f15b3edb2371cc65375c46f", size = 591126, upload-time = "2025-11-30T20:23:44.086Z" }, + { url = "https://files.pythonhosted.org/packages/21/20/7ff5f3c8b00c8a95f75985128c26ba44503fb35b8e0259d812766ea966c7/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:46e83c697b1f1c72b50e5ee5adb4353eef7406fb3f2043d64c33f20ad1c2fc53", size = 553371, upload-time = "2025-11-30T20:23:46.004Z" }, + { url = "https://files.pythonhosted.org/packages/72/c7/81dadd7b27c8ee391c132a6b192111ca58d866577ce2d9b0ca157552cce0/rpds_py-0.30.0-cp314-cp314-win32.whl", hash = "sha256:ee454b2a007d57363c2dfd5b6ca4a5d7e2c518938f8ed3b706e37e5d470801ed", size = 215298, upload-time = "2025-11-30T20:23:47.696Z" }, + { url = "https://files.pythonhosted.org/packages/3e/d2/1aaac33287e8cfb07aab2e6b8ac1deca62f6f65411344f1433c55e6f3eb8/rpds_py-0.30.0-cp314-cp314-win_amd64.whl", hash = "sha256:95f0802447ac2d10bcc69f6dc28fe95fdf17940367b21d34e34c737870758950", size = 228604, upload-time = "2025-11-30T20:23:49.501Z" }, + { url = "https://files.pythonhosted.org/packages/e8/95/ab005315818cc519ad074cb7784dae60d939163108bd2b394e60dc7b5461/rpds_py-0.30.0-cp314-cp314-win_arm64.whl", hash = "sha256:613aa4771c99f03346e54c3f038e4cc574ac09a3ddfb0e8878487335e96dead6", size = 222391, upload-time = "2025-11-30T20:23:50.96Z" }, + { url = "https://files.pythonhosted.org/packages/9e/68/154fe0194d83b973cdedcdcc88947a2752411165930182ae41d983dcefa6/rpds_py-0.30.0-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:7e6ecfcb62edfd632e56983964e6884851786443739dbfe3582947e87274f7cb", size = 364868, upload-time = "2025-11-30T20:23:52.494Z" }, + { url = "https://files.pythonhosted.org/packages/83/69/8bbc8b07ec854d92a8b75668c24d2abcb1719ebf890f5604c61c9369a16f/rpds_py-0.30.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:a1d0bc22a7cdc173fedebb73ef81e07faef93692b8c1ad3733b67e31e1b6e1b8", size = 353747, upload-time = "2025-11-30T20:23:54.036Z" }, + { url = "https://files.pythonhosted.org/packages/ab/00/ba2e50183dbd9abcce9497fa5149c62b4ff3e22d338a30d690f9af970561/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d08f00679177226c4cb8c5265012eea897c8ca3b93f429e546600c971bcbae7", size = 383795, upload-time = "2025-11-30T20:23:55.556Z" }, + { url = "https://files.pythonhosted.org/packages/05/6f/86f0272b84926bcb0e4c972262f54223e8ecc556b3224d281e6598fc9268/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5965af57d5848192c13534f90f9dd16464f3c37aaf166cc1da1cae1fd5a34898", size = 393330, upload-time = "2025-11-30T20:23:57.033Z" }, + { url = "https://files.pythonhosted.org/packages/cb/e9/0e02bb2e6dc63d212641da45df2b0bf29699d01715913e0d0f017ee29438/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a4e86e34e9ab6b667c27f3211ca48f73dba7cd3d90f8d5b11be56e5dbc3fb4e", size = 518194, upload-time = "2025-11-30T20:23:58.637Z" }, + { url = "https://files.pythonhosted.org/packages/ee/ca/be7bca14cf21513bdf9c0606aba17d1f389ea2b6987035eb4f62bd923f25/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5d3e6b26f2c785d65cc25ef1e5267ccbe1b069c5c21b8cc724efee290554419", size = 408340, upload-time = "2025-11-30T20:24:00.2Z" }, + { url = "https://files.pythonhosted.org/packages/c2/c7/736e00ebf39ed81d75544c0da6ef7b0998f8201b369acf842f9a90dc8fce/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:626a7433c34566535b6e56a1b39a7b17ba961e97ce3b80ec62e6f1312c025551", size = 383765, upload-time = "2025-11-30T20:24:01.759Z" }, + { url = "https://files.pythonhosted.org/packages/4a/3f/da50dfde9956aaf365c4adc9533b100008ed31aea635f2b8d7b627e25b49/rpds_py-0.30.0-cp314-cp314t-manylinux_2_31_riscv64.whl", hash = "sha256:acd7eb3f4471577b9b5a41baf02a978e8bdeb08b4b355273994f8b87032000a8", size = 396834, upload-time = "2025-11-30T20:24:03.687Z" }, + { url = "https://files.pythonhosted.org/packages/4e/00/34bcc2565b6020eab2623349efbdec810676ad571995911f1abdae62a3a0/rpds_py-0.30.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fe5fa731a1fa8a0a56b0977413f8cacac1768dad38d16b3a296712709476fbd5", size = 415470, upload-time = "2025-11-30T20:24:05.232Z" }, + { url = "https://files.pythonhosted.org/packages/8c/28/882e72b5b3e6f718d5453bd4d0d9cf8df36fddeb4ddbbab17869d5868616/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:74a3243a411126362712ee1524dfc90c650a503502f135d54d1b352bd01f2404", size = 565630, upload-time = "2025-11-30T20:24:06.878Z" }, + { url = "https://files.pythonhosted.org/packages/3b/97/04a65539c17692de5b85c6e293520fd01317fd878ea1995f0367d4532fb1/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:3e8eeb0544f2eb0d2581774be4c3410356eba189529a6b3e36bbbf9696175856", size = 591148, upload-time = "2025-11-30T20:24:08.445Z" }, + { url = "https://files.pythonhosted.org/packages/85/70/92482ccffb96f5441aab93e26c4d66489eb599efdcf96fad90c14bbfb976/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:dbd936cde57abfee19ab3213cf9c26be06d60750e60a8e4dd85d1ab12c8b1f40", size = 556030, upload-time = "2025-11-30T20:24:10.956Z" }, + { url = "https://files.pythonhosted.org/packages/20/53/7c7e784abfa500a2b6b583b147ee4bb5a2b3747a9166bab52fec4b5b5e7d/rpds_py-0.30.0-cp314-cp314t-win32.whl", hash = "sha256:dc824125c72246d924f7f796b4f63c1e9dc810c7d9e2355864b3c3a73d59ade0", size = 211570, upload-time = "2025-11-30T20:24:12.735Z" }, + { url = "https://files.pythonhosted.org/packages/d0/02/fa464cdfbe6b26e0600b62c528b72d8608f5cc49f96b8d6e38c95d60c676/rpds_py-0.30.0-cp314-cp314t-win_amd64.whl", hash = "sha256:27f4b0e92de5bfbc6f86e43959e6edd1425c33b5e69aab0984a72047f2bcf1e3", size = 226532, upload-time = "2025-11-30T20:24:14.634Z" }, ] [[package]] @@ -2239,103 +2275,103 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "numpy" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/0a/ca/d8ace4f98322d01abcd52d381134344bf7b431eba7ed8b42bdea5a3c2ac9/scipy-1.16.3.tar.gz", hash = "sha256:01e87659402762f43bd2fee13370553a17ada367d42e7487800bf2916535aecb", size = 30597883, upload_time = "2025-10-28T17:38:54.068Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/40/41/5bf55c3f386b1643812f3a5674edf74b26184378ef0f3e7c7a09a7e2ca7f/scipy-1.16.3-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:81fc5827606858cf71446a5e98715ba0e11f0dbc83d71c7409d05486592a45d6", size = 36659043, upload_time = "2025-10-28T17:32:40.285Z" }, - { url = "https://files.pythonhosted.org/packages/1e/0f/65582071948cfc45d43e9870bf7ca5f0e0684e165d7c9ef4e50d783073eb/scipy-1.16.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:c97176013d404c7346bf57874eaac5187d969293bf40497140b0a2b2b7482e07", size = 28898986, upload_time = "2025-10-28T17:32:45.325Z" }, - { url = "https://files.pythonhosted.org/packages/96/5e/36bf3f0ac298187d1ceadde9051177d6a4fe4d507e8f59067dc9dd39e650/scipy-1.16.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2b71d93c8a9936046866acebc915e2af2e292b883ed6e2cbe5c34beb094b82d9", size = 20889814, upload_time = "2025-10-28T17:32:49.277Z" }, - { url = "https://files.pythonhosted.org/packages/80/35/178d9d0c35394d5d5211bbff7ac4f2986c5488b59506fef9e1de13ea28d3/scipy-1.16.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:3d4a07a8e785d80289dfe66b7c27d8634a773020742ec7187b85ccc4b0e7b686", size = 23565795, upload_time = "2025-10-28T17:32:53.337Z" }, - { url = "https://files.pythonhosted.org/packages/fa/46/d1146ff536d034d02f83c8afc3c4bab2eddb634624d6529a8512f3afc9da/scipy-1.16.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0553371015692a898e1aa858fed67a3576c34edefa6b7ebdb4e9dde49ce5c203", size = 33349476, upload_time = "2025-10-28T17:32:58.353Z" }, - { url = "https://files.pythonhosted.org/packages/79/2e/415119c9ab3e62249e18c2b082c07aff907a273741b3f8160414b0e9193c/scipy-1.16.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:72d1717fd3b5e6ec747327ce9bda32d5463f472c9dce9f54499e81fbd50245a1", size = 35676692, upload_time = "2025-10-28T17:33:03.88Z" }, - { url = "https://files.pythonhosted.org/packages/27/82/df26e44da78bf8d2aeaf7566082260cfa15955a5a6e96e6a29935b64132f/scipy-1.16.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1fb2472e72e24d1530debe6ae078db70fb1605350c88a3d14bc401d6306dbffe", size = 36019345, upload_time = "2025-10-28T17:33:09.773Z" }, - { url = "https://files.pythonhosted.org/packages/82/31/006cbb4b648ba379a95c87262c2855cd0d09453e500937f78b30f02fa1cd/scipy-1.16.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c5192722cffe15f9329a3948c4b1db789fbb1f05c97899187dcf009b283aea70", size = 38678975, upload_time = "2025-10-28T17:33:15.809Z" }, - { url = "https://files.pythonhosted.org/packages/c2/7f/acbd28c97e990b421af7d6d6cd416358c9c293fc958b8529e0bd5d2a2a19/scipy-1.16.3-cp312-cp312-win_amd64.whl", hash = "sha256:56edc65510d1331dae01ef9b658d428e33ed48b4f77b1d51caf479a0253f96dc", size = 38555926, upload_time = "2025-10-28T17:33:21.388Z" }, - { url = "https://files.pythonhosted.org/packages/ce/69/c5c7807fd007dad4f48e0a5f2153038dc96e8725d3345b9ee31b2b7bed46/scipy-1.16.3-cp312-cp312-win_arm64.whl", hash = "sha256:a8a26c78ef223d3e30920ef759e25625a0ecdd0d60e5a8818b7513c3e5384cf2", size = 25463014, upload_time = "2025-10-28T17:33:25.975Z" }, - { url = "https://files.pythonhosted.org/packages/72/f1/57e8327ab1508272029e27eeef34f2302ffc156b69e7e233e906c2a5c379/scipy-1.16.3-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:d2ec56337675e61b312179a1ad124f5f570c00f920cc75e1000025451b88241c", size = 36617856, upload_time = "2025-10-28T17:33:31.375Z" }, - { url = "https://files.pythonhosted.org/packages/44/13/7e63cfba8a7452eb756306aa2fd9b37a29a323b672b964b4fdeded9a3f21/scipy-1.16.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:16b8bc35a4cc24db80a0ec836a9286d0e31b2503cb2fd7ff7fb0e0374a97081d", size = 28874306, upload_time = "2025-10-28T17:33:36.516Z" }, - { url = "https://files.pythonhosted.org/packages/15/65/3a9400efd0228a176e6ec3454b1fa998fbbb5a8defa1672c3f65706987db/scipy-1.16.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:5803c5fadd29de0cf27fa08ccbfe7a9e5d741bf63e4ab1085437266f12460ff9", size = 20865371, upload_time = "2025-10-28T17:33:42.094Z" }, - { url = "https://files.pythonhosted.org/packages/33/d7/eda09adf009a9fb81827194d4dd02d2e4bc752cef16737cc4ef065234031/scipy-1.16.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:b81c27fc41954319a943d43b20e07c40bdcd3ff7cf013f4fb86286faefe546c4", size = 23524877, upload_time = "2025-10-28T17:33:48.483Z" }, - { url = "https://files.pythonhosted.org/packages/7d/6b/3f911e1ebc364cb81320223a3422aab7d26c9c7973109a9cd0f27c64c6c0/scipy-1.16.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0c3b4dd3d9b08dbce0f3440032c52e9e2ab9f96ade2d3943313dfe51a7056959", size = 33342103, upload_time = "2025-10-28T17:33:56.495Z" }, - { url = "https://files.pythonhosted.org/packages/21/f6/4bfb5695d8941e5c570a04d9fcd0d36bce7511b7d78e6e75c8f9791f82d0/scipy-1.16.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7dc1360c06535ea6116a2220f760ae572db9f661aba2d88074fe30ec2aa1ff88", size = 35697297, upload_time = "2025-10-28T17:34:04.722Z" }, - { url = "https://files.pythonhosted.org/packages/04/e1/6496dadbc80d8d896ff72511ecfe2316b50313bfc3ebf07a3f580f08bd8c/scipy-1.16.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:663b8d66a8748051c3ee9c96465fb417509315b99c71550fda2591d7dd634234", size = 36021756, upload_time = "2025-10-28T17:34:13.482Z" }, - { url = "https://files.pythonhosted.org/packages/fe/bd/a8c7799e0136b987bda3e1b23d155bcb31aec68a4a472554df5f0937eef7/scipy-1.16.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eab43fae33a0c39006a88096cd7b4f4ef545ea0447d250d5ac18202d40b6611d", size = 38696566, upload_time = "2025-10-28T17:34:22.384Z" }, - { url = "https://files.pythonhosted.org/packages/cd/01/1204382461fcbfeb05b6161b594f4007e78b6eba9b375382f79153172b4d/scipy-1.16.3-cp313-cp313-win_amd64.whl", hash = "sha256:062246acacbe9f8210de8e751b16fc37458213f124bef161a5a02c7a39284304", size = 38529877, upload_time = "2025-10-28T17:35:51.076Z" }, - { url = "https://files.pythonhosted.org/packages/7f/14/9d9fbcaa1260a94f4bb5b64ba9213ceb5d03cd88841fe9fd1ffd47a45b73/scipy-1.16.3-cp313-cp313-win_arm64.whl", hash = "sha256:50a3dbf286dbc7d84f176f9a1574c705f277cb6565069f88f60db9eafdbe3ee2", size = 25455366, upload_time = "2025-10-28T17:35:59.014Z" }, - { url = "https://files.pythonhosted.org/packages/e2/a3/9ec205bd49f42d45d77f1730dbad9ccf146244c1647605cf834b3a8c4f36/scipy-1.16.3-cp313-cp313t-macosx_10_14_x86_64.whl", hash = "sha256:fb4b29f4cf8cc5a8d628bc8d8e26d12d7278cd1f219f22698a378c3d67db5e4b", size = 37027931, upload_time = "2025-10-28T17:34:31.451Z" }, - { url = "https://files.pythonhosted.org/packages/25/06/ca9fd1f3a4589cbd825b1447e5db3a8ebb969c1eaf22c8579bd286f51b6d/scipy-1.16.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:8d09d72dc92742988b0e7750bddb8060b0c7079606c0d24a8cc8e9c9c11f9079", size = 29400081, upload_time = "2025-10-28T17:34:39.087Z" }, - { url = "https://files.pythonhosted.org/packages/6a/56/933e68210d92657d93fb0e381683bc0e53a965048d7358ff5fbf9e6a1b17/scipy-1.16.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:03192a35e661470197556de24e7cb1330d84b35b94ead65c46ad6f16f6b28f2a", size = 21391244, upload_time = "2025-10-28T17:34:45.234Z" }, - { url = "https://files.pythonhosted.org/packages/a8/7e/779845db03dc1418e215726329674b40576879b91814568757ff0014ad65/scipy-1.16.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:57d01cb6f85e34f0946b33caa66e892aae072b64b034183f3d87c4025802a119", size = 23929753, upload_time = "2025-10-28T17:34:51.793Z" }, - { url = "https://files.pythonhosted.org/packages/4c/4b/f756cf8161d5365dcdef9e5f460ab226c068211030a175d2fc7f3f41ca64/scipy-1.16.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:96491a6a54e995f00a28a3c3badfff58fd093bf26cd5fb34a2188c8c756a3a2c", size = 33496912, upload_time = "2025-10-28T17:34:59.8Z" }, - { url = "https://files.pythonhosted.org/packages/09/b5/222b1e49a58668f23839ca1542a6322bb095ab8d6590d4f71723869a6c2c/scipy-1.16.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cd13e354df9938598af2be05822c323e97132d5e6306b83a3b4ee6724c6e522e", size = 35802371, upload_time = "2025-10-28T17:35:08.173Z" }, - { url = "https://files.pythonhosted.org/packages/c1/8d/5964ef68bb31829bde27611f8c9deeac13764589fe74a75390242b64ca44/scipy-1.16.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:63d3cdacb8a824a295191a723ee5e4ea7768ca5ca5f2838532d9f2e2b3ce2135", size = 36190477, upload_time = "2025-10-28T17:35:16.7Z" }, - { url = "https://files.pythonhosted.org/packages/ab/f2/b31d75cb9b5fa4dd39a0a931ee9b33e7f6f36f23be5ef560bf72e0f92f32/scipy-1.16.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e7efa2681ea410b10dde31a52b18b0154d66f2485328830e45fdf183af5aefc6", size = 38796678, upload_time = "2025-10-28T17:35:26.354Z" }, - { url = "https://files.pythonhosted.org/packages/b4/1e/b3723d8ff64ab548c38d87055483714fefe6ee20e0189b62352b5e015bb1/scipy-1.16.3-cp313-cp313t-win_amd64.whl", hash = "sha256:2d1ae2cf0c350e7705168ff2429962a89ad90c2d49d1dd300686d8b2a5af22fc", size = 38640178, upload_time = "2025-10-28T17:35:35.304Z" }, - { url = "https://files.pythonhosted.org/packages/8e/f3/d854ff38789aca9b0cc23008d607ced9de4f7ab14fa1ca4329f86b3758ca/scipy-1.16.3-cp313-cp313t-win_arm64.whl", hash = "sha256:0c623a54f7b79dd88ef56da19bc2873afec9673a48f3b85b18e4d402bdd29a5a", size = 25803246, upload_time = "2025-10-28T17:35:42.155Z" }, - { url = "https://files.pythonhosted.org/packages/99/f6/99b10fd70f2d864c1e29a28bbcaa0c6340f9d8518396542d9ea3b4aaae15/scipy-1.16.3-cp314-cp314-macosx_10_14_x86_64.whl", hash = "sha256:875555ce62743e1d54f06cdf22c1e0bc47b91130ac40fe5d783b6dfa114beeb6", size = 36606469, upload_time = "2025-10-28T17:36:08.741Z" }, - { url = "https://files.pythonhosted.org/packages/4d/74/043b54f2319f48ea940dd025779fa28ee360e6b95acb7cd188fad4391c6b/scipy-1.16.3-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:bb61878c18a470021fb515a843dc7a76961a8daceaaaa8bad1332f1bf4b54657", size = 28872043, upload_time = "2025-10-28T17:36:16.599Z" }, - { url = "https://files.pythonhosted.org/packages/4d/e1/24b7e50cc1c4ee6ffbcb1f27fe9f4c8b40e7911675f6d2d20955f41c6348/scipy-1.16.3-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:f2622206f5559784fa5c4b53a950c3c7c1cf3e84ca1b9c4b6c03f062f289ca26", size = 20862952, upload_time = "2025-10-28T17:36:22.966Z" }, - { url = "https://files.pythonhosted.org/packages/dd/3a/3e8c01a4d742b730df368e063787c6808597ccb38636ed821d10b39ca51b/scipy-1.16.3-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:7f68154688c515cdb541a31ef8eb66d8cd1050605be9dcd74199cbd22ac739bc", size = 23508512, upload_time = "2025-10-28T17:36:29.731Z" }, - { url = "https://files.pythonhosted.org/packages/1f/60/c45a12b98ad591536bfe5330cb3cfe1850d7570259303563b1721564d458/scipy-1.16.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8b3c820ddb80029fe9f43d61b81d8b488d3ef8ca010d15122b152db77dc94c22", size = 33413639, upload_time = "2025-10-28T17:36:37.982Z" }, - { url = "https://files.pythonhosted.org/packages/71/bc/35957d88645476307e4839712642896689df442f3e53b0fa016ecf8a3357/scipy-1.16.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d3837938ae715fc0fe3c39c0202de3a8853aff22ca66781ddc2ade7554b7e2cc", size = 35704729, upload_time = "2025-10-28T17:36:46.547Z" }, - { url = "https://files.pythonhosted.org/packages/3b/15/89105e659041b1ca11c386e9995aefacd513a78493656e57789f9d9eab61/scipy-1.16.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:aadd23f98f9cb069b3bd64ddc900c4d277778242e961751f77a8cb5c4b946fb0", size = 36086251, upload_time = "2025-10-28T17:36:55.161Z" }, - { url = "https://files.pythonhosted.org/packages/1a/87/c0ea673ac9c6cc50b3da2196d860273bc7389aa69b64efa8493bdd25b093/scipy-1.16.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b7c5f1bda1354d6a19bc6af73a649f8285ca63ac6b52e64e658a5a11d4d69800", size = 38716681, upload_time = "2025-10-28T17:37:04.1Z" }, - { url = "https://files.pythonhosted.org/packages/91/06/837893227b043fb9b0d13e4bd7586982d8136cb249ffb3492930dab905b8/scipy-1.16.3-cp314-cp314-win_amd64.whl", hash = "sha256:e5d42a9472e7579e473879a1990327830493a7047506d58d73fc429b84c1d49d", size = 39358423, upload_time = "2025-10-28T17:38:20.005Z" }, - { url = "https://files.pythonhosted.org/packages/95/03/28bce0355e4d34a7c034727505a02d19548549e190bedd13a721e35380b7/scipy-1.16.3-cp314-cp314-win_arm64.whl", hash = "sha256:6020470b9d00245926f2d5bb93b119ca0340f0d564eb6fbaad843eaebf9d690f", size = 26135027, upload_time = "2025-10-28T17:38:24.966Z" }, - { url = "https://files.pythonhosted.org/packages/b2/6f/69f1e2b682efe9de8fe9f91040f0cd32f13cfccba690512ba4c582b0bc29/scipy-1.16.3-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:e1d27cbcb4602680a49d787d90664fa4974063ac9d4134813332a8c53dbe667c", size = 37028379, upload_time = "2025-10-28T17:37:14.061Z" }, - { url = "https://files.pythonhosted.org/packages/7c/2d/e826f31624a5ebbab1cd93d30fd74349914753076ed0593e1d56a98c4fb4/scipy-1.16.3-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:9b9c9c07b6d56a35777a1b4cc8966118fb16cfd8daf6743867d17d36cfad2d40", size = 29400052, upload_time = "2025-10-28T17:37:21.709Z" }, - { url = "https://files.pythonhosted.org/packages/69/27/d24feb80155f41fd1f156bf144e7e049b4e2b9dd06261a242905e3bc7a03/scipy-1.16.3-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:3a4c460301fb2cffb7f88528f30b3127742cff583603aa7dc964a52c463b385d", size = 21391183, upload_time = "2025-10-28T17:37:29.559Z" }, - { url = "https://files.pythonhosted.org/packages/f8/d3/1b229e433074c5738a24277eca520a2319aac7465eea7310ea6ae0e98ae2/scipy-1.16.3-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:f667a4542cc8917af1db06366d3f78a5c8e83badd56409f94d1eac8d8d9133fa", size = 23930174, upload_time = "2025-10-28T17:37:36.306Z" }, - { url = "https://files.pythonhosted.org/packages/16/9d/d9e148b0ec680c0f042581a2be79a28a7ab66c0c4946697f9e7553ead337/scipy-1.16.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f379b54b77a597aa7ee5e697df0d66903e41b9c85a6dd7946159e356319158e8", size = 33497852, upload_time = "2025-10-28T17:37:42.228Z" }, - { url = "https://files.pythonhosted.org/packages/2f/22/4e5f7561e4f98b7bea63cf3fd7934bff1e3182e9f1626b089a679914d5c8/scipy-1.16.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4aff59800a3b7f786b70bfd6ab551001cb553244988d7d6b8299cb1ea653b353", size = 35798595, upload_time = "2025-10-28T17:37:48.102Z" }, - { url = "https://files.pythonhosted.org/packages/83/42/6644d714c179429fc7196857866f219fef25238319b650bb32dde7bf7a48/scipy-1.16.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:da7763f55885045036fabcebd80144b757d3db06ab0861415d1c3b7c69042146", size = 36186269, upload_time = "2025-10-28T17:37:53.72Z" }, - { url = "https://files.pythonhosted.org/packages/ac/70/64b4d7ca92f9cf2e6fc6aaa2eecf80bb9b6b985043a9583f32f8177ea122/scipy-1.16.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ffa6eea95283b2b8079b821dc11f50a17d0571c92b43e2b5b12764dc5f9b285d", size = 38802779, upload_time = "2025-10-28T17:37:59.393Z" }, - { url = "https://files.pythonhosted.org/packages/61/82/8d0e39f62764cce5ffd5284131e109f07cf8955aef9ab8ed4e3aa5e30539/scipy-1.16.3-cp314-cp314t-win_amd64.whl", hash = "sha256:d9f48cafc7ce94cf9b15c6bffdc443a81a27bf7075cf2dcd5c8b40f85d10c4e7", size = 39471128, upload_time = "2025-10-28T17:38:05.259Z" }, - { url = "https://files.pythonhosted.org/packages/64/47/a494741db7280eae6dc033510c319e34d42dd41b7ac0c7ead39354d1a2b5/scipy-1.16.3-cp314-cp314t-win_arm64.whl", hash = "sha256:21d9d6b197227a12dcbf9633320a4e34c6b0e51c57268df255a0942983bac562", size = 26464127, upload_time = "2025-10-28T17:38:11.34Z" }, +sdist = { url = "https://files.pythonhosted.org/packages/0a/ca/d8ace4f98322d01abcd52d381134344bf7b431eba7ed8b42bdea5a3c2ac9/scipy-1.16.3.tar.gz", hash = "sha256:01e87659402762f43bd2fee13370553a17ada367d42e7487800bf2916535aecb", size = 30597883, upload-time = "2025-10-28T17:38:54.068Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/40/41/5bf55c3f386b1643812f3a5674edf74b26184378ef0f3e7c7a09a7e2ca7f/scipy-1.16.3-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:81fc5827606858cf71446a5e98715ba0e11f0dbc83d71c7409d05486592a45d6", size = 36659043, upload-time = "2025-10-28T17:32:40.285Z" }, + { url = "https://files.pythonhosted.org/packages/1e/0f/65582071948cfc45d43e9870bf7ca5f0e0684e165d7c9ef4e50d783073eb/scipy-1.16.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:c97176013d404c7346bf57874eaac5187d969293bf40497140b0a2b2b7482e07", size = 28898986, upload-time = "2025-10-28T17:32:45.325Z" }, + { url = "https://files.pythonhosted.org/packages/96/5e/36bf3f0ac298187d1ceadde9051177d6a4fe4d507e8f59067dc9dd39e650/scipy-1.16.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2b71d93c8a9936046866acebc915e2af2e292b883ed6e2cbe5c34beb094b82d9", size = 20889814, upload-time = "2025-10-28T17:32:49.277Z" }, + { url = "https://files.pythonhosted.org/packages/80/35/178d9d0c35394d5d5211bbff7ac4f2986c5488b59506fef9e1de13ea28d3/scipy-1.16.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:3d4a07a8e785d80289dfe66b7c27d8634a773020742ec7187b85ccc4b0e7b686", size = 23565795, upload-time = "2025-10-28T17:32:53.337Z" }, + { url = "https://files.pythonhosted.org/packages/fa/46/d1146ff536d034d02f83c8afc3c4bab2eddb634624d6529a8512f3afc9da/scipy-1.16.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0553371015692a898e1aa858fed67a3576c34edefa6b7ebdb4e9dde49ce5c203", size = 33349476, upload-time = "2025-10-28T17:32:58.353Z" }, + { url = "https://files.pythonhosted.org/packages/79/2e/415119c9ab3e62249e18c2b082c07aff907a273741b3f8160414b0e9193c/scipy-1.16.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:72d1717fd3b5e6ec747327ce9bda32d5463f472c9dce9f54499e81fbd50245a1", size = 35676692, upload-time = "2025-10-28T17:33:03.88Z" }, + { url = "https://files.pythonhosted.org/packages/27/82/df26e44da78bf8d2aeaf7566082260cfa15955a5a6e96e6a29935b64132f/scipy-1.16.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1fb2472e72e24d1530debe6ae078db70fb1605350c88a3d14bc401d6306dbffe", size = 36019345, upload-time = "2025-10-28T17:33:09.773Z" }, + { url = "https://files.pythonhosted.org/packages/82/31/006cbb4b648ba379a95c87262c2855cd0d09453e500937f78b30f02fa1cd/scipy-1.16.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c5192722cffe15f9329a3948c4b1db789fbb1f05c97899187dcf009b283aea70", size = 38678975, upload-time = "2025-10-28T17:33:15.809Z" }, + { url = "https://files.pythonhosted.org/packages/c2/7f/acbd28c97e990b421af7d6d6cd416358c9c293fc958b8529e0bd5d2a2a19/scipy-1.16.3-cp312-cp312-win_amd64.whl", hash = "sha256:56edc65510d1331dae01ef9b658d428e33ed48b4f77b1d51caf479a0253f96dc", size = 38555926, upload-time = "2025-10-28T17:33:21.388Z" }, + { url = "https://files.pythonhosted.org/packages/ce/69/c5c7807fd007dad4f48e0a5f2153038dc96e8725d3345b9ee31b2b7bed46/scipy-1.16.3-cp312-cp312-win_arm64.whl", hash = "sha256:a8a26c78ef223d3e30920ef759e25625a0ecdd0d60e5a8818b7513c3e5384cf2", size = 25463014, upload-time = "2025-10-28T17:33:25.975Z" }, + { url = "https://files.pythonhosted.org/packages/72/f1/57e8327ab1508272029e27eeef34f2302ffc156b69e7e233e906c2a5c379/scipy-1.16.3-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:d2ec56337675e61b312179a1ad124f5f570c00f920cc75e1000025451b88241c", size = 36617856, upload-time = "2025-10-28T17:33:31.375Z" }, + { url = "https://files.pythonhosted.org/packages/44/13/7e63cfba8a7452eb756306aa2fd9b37a29a323b672b964b4fdeded9a3f21/scipy-1.16.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:16b8bc35a4cc24db80a0ec836a9286d0e31b2503cb2fd7ff7fb0e0374a97081d", size = 28874306, upload-time = "2025-10-28T17:33:36.516Z" }, + { url = "https://files.pythonhosted.org/packages/15/65/3a9400efd0228a176e6ec3454b1fa998fbbb5a8defa1672c3f65706987db/scipy-1.16.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:5803c5fadd29de0cf27fa08ccbfe7a9e5d741bf63e4ab1085437266f12460ff9", size = 20865371, upload-time = "2025-10-28T17:33:42.094Z" }, + { url = "https://files.pythonhosted.org/packages/33/d7/eda09adf009a9fb81827194d4dd02d2e4bc752cef16737cc4ef065234031/scipy-1.16.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:b81c27fc41954319a943d43b20e07c40bdcd3ff7cf013f4fb86286faefe546c4", size = 23524877, upload-time = "2025-10-28T17:33:48.483Z" }, + { url = "https://files.pythonhosted.org/packages/7d/6b/3f911e1ebc364cb81320223a3422aab7d26c9c7973109a9cd0f27c64c6c0/scipy-1.16.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0c3b4dd3d9b08dbce0f3440032c52e9e2ab9f96ade2d3943313dfe51a7056959", size = 33342103, upload-time = "2025-10-28T17:33:56.495Z" }, + { url = "https://files.pythonhosted.org/packages/21/f6/4bfb5695d8941e5c570a04d9fcd0d36bce7511b7d78e6e75c8f9791f82d0/scipy-1.16.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7dc1360c06535ea6116a2220f760ae572db9f661aba2d88074fe30ec2aa1ff88", size = 35697297, upload-time = "2025-10-28T17:34:04.722Z" }, + { url = "https://files.pythonhosted.org/packages/04/e1/6496dadbc80d8d896ff72511ecfe2316b50313bfc3ebf07a3f580f08bd8c/scipy-1.16.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:663b8d66a8748051c3ee9c96465fb417509315b99c71550fda2591d7dd634234", size = 36021756, upload-time = "2025-10-28T17:34:13.482Z" }, + { url = "https://files.pythonhosted.org/packages/fe/bd/a8c7799e0136b987bda3e1b23d155bcb31aec68a4a472554df5f0937eef7/scipy-1.16.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eab43fae33a0c39006a88096cd7b4f4ef545ea0447d250d5ac18202d40b6611d", size = 38696566, upload-time = "2025-10-28T17:34:22.384Z" }, + { url = "https://files.pythonhosted.org/packages/cd/01/1204382461fcbfeb05b6161b594f4007e78b6eba9b375382f79153172b4d/scipy-1.16.3-cp313-cp313-win_amd64.whl", hash = "sha256:062246acacbe9f8210de8e751b16fc37458213f124bef161a5a02c7a39284304", size = 38529877, upload-time = "2025-10-28T17:35:51.076Z" }, + { url = "https://files.pythonhosted.org/packages/7f/14/9d9fbcaa1260a94f4bb5b64ba9213ceb5d03cd88841fe9fd1ffd47a45b73/scipy-1.16.3-cp313-cp313-win_arm64.whl", hash = "sha256:50a3dbf286dbc7d84f176f9a1574c705f277cb6565069f88f60db9eafdbe3ee2", size = 25455366, upload-time = "2025-10-28T17:35:59.014Z" }, + { url = "https://files.pythonhosted.org/packages/e2/a3/9ec205bd49f42d45d77f1730dbad9ccf146244c1647605cf834b3a8c4f36/scipy-1.16.3-cp313-cp313t-macosx_10_14_x86_64.whl", hash = "sha256:fb4b29f4cf8cc5a8d628bc8d8e26d12d7278cd1f219f22698a378c3d67db5e4b", size = 37027931, upload-time = "2025-10-28T17:34:31.451Z" }, + { url = "https://files.pythonhosted.org/packages/25/06/ca9fd1f3a4589cbd825b1447e5db3a8ebb969c1eaf22c8579bd286f51b6d/scipy-1.16.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:8d09d72dc92742988b0e7750bddb8060b0c7079606c0d24a8cc8e9c9c11f9079", size = 29400081, upload-time = "2025-10-28T17:34:39.087Z" }, + { url = "https://files.pythonhosted.org/packages/6a/56/933e68210d92657d93fb0e381683bc0e53a965048d7358ff5fbf9e6a1b17/scipy-1.16.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:03192a35e661470197556de24e7cb1330d84b35b94ead65c46ad6f16f6b28f2a", size = 21391244, upload-time = "2025-10-28T17:34:45.234Z" }, + { url = "https://files.pythonhosted.org/packages/a8/7e/779845db03dc1418e215726329674b40576879b91814568757ff0014ad65/scipy-1.16.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:57d01cb6f85e34f0946b33caa66e892aae072b64b034183f3d87c4025802a119", size = 23929753, upload-time = "2025-10-28T17:34:51.793Z" }, + { url = "https://files.pythonhosted.org/packages/4c/4b/f756cf8161d5365dcdef9e5f460ab226c068211030a175d2fc7f3f41ca64/scipy-1.16.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:96491a6a54e995f00a28a3c3badfff58fd093bf26cd5fb34a2188c8c756a3a2c", size = 33496912, upload-time = "2025-10-28T17:34:59.8Z" }, + { url = "https://files.pythonhosted.org/packages/09/b5/222b1e49a58668f23839ca1542a6322bb095ab8d6590d4f71723869a6c2c/scipy-1.16.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cd13e354df9938598af2be05822c323e97132d5e6306b83a3b4ee6724c6e522e", size = 35802371, upload-time = "2025-10-28T17:35:08.173Z" }, + { url = "https://files.pythonhosted.org/packages/c1/8d/5964ef68bb31829bde27611f8c9deeac13764589fe74a75390242b64ca44/scipy-1.16.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:63d3cdacb8a824a295191a723ee5e4ea7768ca5ca5f2838532d9f2e2b3ce2135", size = 36190477, upload-time = "2025-10-28T17:35:16.7Z" }, + { url = "https://files.pythonhosted.org/packages/ab/f2/b31d75cb9b5fa4dd39a0a931ee9b33e7f6f36f23be5ef560bf72e0f92f32/scipy-1.16.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e7efa2681ea410b10dde31a52b18b0154d66f2485328830e45fdf183af5aefc6", size = 38796678, upload-time = "2025-10-28T17:35:26.354Z" }, + { url = "https://files.pythonhosted.org/packages/b4/1e/b3723d8ff64ab548c38d87055483714fefe6ee20e0189b62352b5e015bb1/scipy-1.16.3-cp313-cp313t-win_amd64.whl", hash = "sha256:2d1ae2cf0c350e7705168ff2429962a89ad90c2d49d1dd300686d8b2a5af22fc", size = 38640178, upload-time = "2025-10-28T17:35:35.304Z" }, + { url = "https://files.pythonhosted.org/packages/8e/f3/d854ff38789aca9b0cc23008d607ced9de4f7ab14fa1ca4329f86b3758ca/scipy-1.16.3-cp313-cp313t-win_arm64.whl", hash = "sha256:0c623a54f7b79dd88ef56da19bc2873afec9673a48f3b85b18e4d402bdd29a5a", size = 25803246, upload-time = "2025-10-28T17:35:42.155Z" }, + { url = "https://files.pythonhosted.org/packages/99/f6/99b10fd70f2d864c1e29a28bbcaa0c6340f9d8518396542d9ea3b4aaae15/scipy-1.16.3-cp314-cp314-macosx_10_14_x86_64.whl", hash = "sha256:875555ce62743e1d54f06cdf22c1e0bc47b91130ac40fe5d783b6dfa114beeb6", size = 36606469, upload-time = "2025-10-28T17:36:08.741Z" }, + { url = "https://files.pythonhosted.org/packages/4d/74/043b54f2319f48ea940dd025779fa28ee360e6b95acb7cd188fad4391c6b/scipy-1.16.3-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:bb61878c18a470021fb515a843dc7a76961a8daceaaaa8bad1332f1bf4b54657", size = 28872043, upload-time = "2025-10-28T17:36:16.599Z" }, + { url = "https://files.pythonhosted.org/packages/4d/e1/24b7e50cc1c4ee6ffbcb1f27fe9f4c8b40e7911675f6d2d20955f41c6348/scipy-1.16.3-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:f2622206f5559784fa5c4b53a950c3c7c1cf3e84ca1b9c4b6c03f062f289ca26", size = 20862952, upload-time = "2025-10-28T17:36:22.966Z" }, + { url = "https://files.pythonhosted.org/packages/dd/3a/3e8c01a4d742b730df368e063787c6808597ccb38636ed821d10b39ca51b/scipy-1.16.3-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:7f68154688c515cdb541a31ef8eb66d8cd1050605be9dcd74199cbd22ac739bc", size = 23508512, upload-time = "2025-10-28T17:36:29.731Z" }, + { url = "https://files.pythonhosted.org/packages/1f/60/c45a12b98ad591536bfe5330cb3cfe1850d7570259303563b1721564d458/scipy-1.16.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8b3c820ddb80029fe9f43d61b81d8b488d3ef8ca010d15122b152db77dc94c22", size = 33413639, upload-time = "2025-10-28T17:36:37.982Z" }, + { url = "https://files.pythonhosted.org/packages/71/bc/35957d88645476307e4839712642896689df442f3e53b0fa016ecf8a3357/scipy-1.16.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d3837938ae715fc0fe3c39c0202de3a8853aff22ca66781ddc2ade7554b7e2cc", size = 35704729, upload-time = "2025-10-28T17:36:46.547Z" }, + { url = "https://files.pythonhosted.org/packages/3b/15/89105e659041b1ca11c386e9995aefacd513a78493656e57789f9d9eab61/scipy-1.16.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:aadd23f98f9cb069b3bd64ddc900c4d277778242e961751f77a8cb5c4b946fb0", size = 36086251, upload-time = "2025-10-28T17:36:55.161Z" }, + { url = "https://files.pythonhosted.org/packages/1a/87/c0ea673ac9c6cc50b3da2196d860273bc7389aa69b64efa8493bdd25b093/scipy-1.16.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b7c5f1bda1354d6a19bc6af73a649f8285ca63ac6b52e64e658a5a11d4d69800", size = 38716681, upload-time = "2025-10-28T17:37:04.1Z" }, + { url = "https://files.pythonhosted.org/packages/91/06/837893227b043fb9b0d13e4bd7586982d8136cb249ffb3492930dab905b8/scipy-1.16.3-cp314-cp314-win_amd64.whl", hash = "sha256:e5d42a9472e7579e473879a1990327830493a7047506d58d73fc429b84c1d49d", size = 39358423, upload-time = "2025-10-28T17:38:20.005Z" }, + { url = "https://files.pythonhosted.org/packages/95/03/28bce0355e4d34a7c034727505a02d19548549e190bedd13a721e35380b7/scipy-1.16.3-cp314-cp314-win_arm64.whl", hash = "sha256:6020470b9d00245926f2d5bb93b119ca0340f0d564eb6fbaad843eaebf9d690f", size = 26135027, upload-time = "2025-10-28T17:38:24.966Z" }, + { url = "https://files.pythonhosted.org/packages/b2/6f/69f1e2b682efe9de8fe9f91040f0cd32f13cfccba690512ba4c582b0bc29/scipy-1.16.3-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:e1d27cbcb4602680a49d787d90664fa4974063ac9d4134813332a8c53dbe667c", size = 37028379, upload-time = "2025-10-28T17:37:14.061Z" }, + { url = "https://files.pythonhosted.org/packages/7c/2d/e826f31624a5ebbab1cd93d30fd74349914753076ed0593e1d56a98c4fb4/scipy-1.16.3-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:9b9c9c07b6d56a35777a1b4cc8966118fb16cfd8daf6743867d17d36cfad2d40", size = 29400052, upload-time = "2025-10-28T17:37:21.709Z" }, + { url = "https://files.pythonhosted.org/packages/69/27/d24feb80155f41fd1f156bf144e7e049b4e2b9dd06261a242905e3bc7a03/scipy-1.16.3-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:3a4c460301fb2cffb7f88528f30b3127742cff583603aa7dc964a52c463b385d", size = 21391183, upload-time = "2025-10-28T17:37:29.559Z" }, + { url = "https://files.pythonhosted.org/packages/f8/d3/1b229e433074c5738a24277eca520a2319aac7465eea7310ea6ae0e98ae2/scipy-1.16.3-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:f667a4542cc8917af1db06366d3f78a5c8e83badd56409f94d1eac8d8d9133fa", size = 23930174, upload-time = "2025-10-28T17:37:36.306Z" }, + { url = "https://files.pythonhosted.org/packages/16/9d/d9e148b0ec680c0f042581a2be79a28a7ab66c0c4946697f9e7553ead337/scipy-1.16.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f379b54b77a597aa7ee5e697df0d66903e41b9c85a6dd7946159e356319158e8", size = 33497852, upload-time = "2025-10-28T17:37:42.228Z" }, + { url = "https://files.pythonhosted.org/packages/2f/22/4e5f7561e4f98b7bea63cf3fd7934bff1e3182e9f1626b089a679914d5c8/scipy-1.16.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4aff59800a3b7f786b70bfd6ab551001cb553244988d7d6b8299cb1ea653b353", size = 35798595, upload-time = "2025-10-28T17:37:48.102Z" }, + { url = "https://files.pythonhosted.org/packages/83/42/6644d714c179429fc7196857866f219fef25238319b650bb32dde7bf7a48/scipy-1.16.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:da7763f55885045036fabcebd80144b757d3db06ab0861415d1c3b7c69042146", size = 36186269, upload-time = "2025-10-28T17:37:53.72Z" }, + { url = "https://files.pythonhosted.org/packages/ac/70/64b4d7ca92f9cf2e6fc6aaa2eecf80bb9b6b985043a9583f32f8177ea122/scipy-1.16.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ffa6eea95283b2b8079b821dc11f50a17d0571c92b43e2b5b12764dc5f9b285d", size = 38802779, upload-time = "2025-10-28T17:37:59.393Z" }, + { url = "https://files.pythonhosted.org/packages/61/82/8d0e39f62764cce5ffd5284131e109f07cf8955aef9ab8ed4e3aa5e30539/scipy-1.16.3-cp314-cp314t-win_amd64.whl", hash = "sha256:d9f48cafc7ce94cf9b15c6bffdc443a81a27bf7075cf2dcd5c8b40f85d10c4e7", size = 39471128, upload-time = "2025-10-28T17:38:05.259Z" }, + { url = "https://files.pythonhosted.org/packages/64/47/a494741db7280eae6dc033510c319e34d42dd41b7ac0c7ead39354d1a2b5/scipy-1.16.3-cp314-cp314t-win_arm64.whl", hash = "sha256:21d9d6b197227a12dcbf9633320a4e34c6b0e51c57268df255a0942983bac562", size = 26464127, upload-time = "2025-10-28T17:38:11.34Z" }, ] [[package]] name = "send2trash" version = "1.8.3" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/fd/3a/aec9b02217bb79b87bbc1a21bc6abc51e3d5dcf65c30487ac96c0908c722/Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf", size = 17394, upload_time = "2024-04-07T00:01:09.267Z" } +sdist = { url = "https://files.pythonhosted.org/packages/fd/3a/aec9b02217bb79b87bbc1a21bc6abc51e3d5dcf65c30487ac96c0908c722/Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf", size = 17394, upload-time = "2024-04-07T00:01:09.267Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/40/b0/4562db6223154aa4e22f939003cb92514c79f3d4dccca3444253fd17f902/Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9", size = 18072, upload_time = "2024-04-07T00:01:07.438Z" }, + { url = "https://files.pythonhosted.org/packages/40/b0/4562db6223154aa4e22f939003cb92514c79f3d4dccca3444253fd17f902/Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9", size = 18072, upload-time = "2024-04-07T00:01:07.438Z" }, ] [[package]] name = "setuptools" version = "80.9.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/18/5d/3bf57dcd21979b887f014ea83c24ae194cfcd12b9e0fda66b957c69d1fca/setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c", size = 1319958, upload_time = "2025-05-27T00:56:51.443Z" } +sdist = { url = "https://files.pythonhosted.org/packages/18/5d/3bf57dcd21979b887f014ea83c24ae194cfcd12b9e0fda66b957c69d1fca/setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c", size = 1319958, upload-time = "2025-05-27T00:56:51.443Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/a3/dc/17031897dae0efacfea57dfd3a82fdd2a2aeb58e0ff71b77b87e44edc772/setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922", size = 1201486, upload_time = "2025-05-27T00:56:49.664Z" }, + { url = "https://files.pythonhosted.org/packages/a3/dc/17031897dae0efacfea57dfd3a82fdd2a2aeb58e0ff71b77b87e44edc772/setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922", size = 1201486, upload-time = "2025-05-27T00:56:49.664Z" }, ] [[package]] name = "six" version = "1.17.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/94/e7/b2c673351809dca68a0e064b6af791aa332cf192da575fd474ed7d6f16a2/six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81", size = 34031, upload_time = "2024-12-04T17:35:28.174Z" } +sdist = { url = "https://files.pythonhosted.org/packages/94/e7/b2c673351809dca68a0e064b6af791aa332cf192da575fd474ed7d6f16a2/six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81", size = 34031, upload-time = "2024-12-04T17:35:28.174Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload_time = "2024-12-04T17:35:26.475Z" }, + { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" }, ] [[package]] name = "snowballstemmer" version = "3.0.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/75/a7/9810d872919697c9d01295633f5d574fb416d47e535f258272ca1f01f447/snowballstemmer-3.0.1.tar.gz", hash = "sha256:6d5eeeec8e9f84d4d56b847692bacf79bc2c8e90c7f80ca4444ff8b6f2e52895", size = 105575, upload_time = "2025-05-09T16:34:51.843Z" } +sdist = { url = "https://files.pythonhosted.org/packages/75/a7/9810d872919697c9d01295633f5d574fb416d47e535f258272ca1f01f447/snowballstemmer-3.0.1.tar.gz", hash = "sha256:6d5eeeec8e9f84d4d56b847692bacf79bc2c8e90c7f80ca4444ff8b6f2e52895", size = 105575, upload-time = "2025-05-09T16:34:51.843Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c8/78/3565d011c61f5a43488987ee32b6f3f656e7f107ac2782dd57bdd7d91d9a/snowballstemmer-3.0.1-py3-none-any.whl", hash = "sha256:6cd7b3897da8d6c9ffb968a6781fa6532dce9c3618a4b127d920dab764a19064", size = 103274, upload_time = "2025-05-09T16:34:50.371Z" }, + { url = "https://files.pythonhosted.org/packages/c8/78/3565d011c61f5a43488987ee32b6f3f656e7f107ac2782dd57bdd7d91d9a/snowballstemmer-3.0.1-py3-none-any.whl", hash = "sha256:6cd7b3897da8d6c9ffb968a6781fa6532dce9c3618a4b127d920dab764a19064", size = 103274, upload-time = "2025-05-09T16:34:50.371Z" }, ] [[package]] name = "soupsieve" version = "2.8" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/6d/e6/21ccce3262dd4889aa3332e5a119a3491a95e8f60939870a3a035aabac0d/soupsieve-2.8.tar.gz", hash = "sha256:e2dd4a40a628cb5f28f6d4b0db8800b8f581b65bb380b97de22ba5ca8d72572f", size = 103472, upload_time = "2025-08-27T15:39:51.78Z" } +sdist = { url = "https://files.pythonhosted.org/packages/6d/e6/21ccce3262dd4889aa3332e5a119a3491a95e8f60939870a3a035aabac0d/soupsieve-2.8.tar.gz", hash = "sha256:e2dd4a40a628cb5f28f6d4b0db8800b8f581b65bb380b97de22ba5ca8d72572f", size = 103472, upload-time = "2025-08-27T15:39:51.78Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/14/a0/bb38d3b76b8cae341dad93a2dd83ab7462e6dbcdd84d43f54ee60a8dc167/soupsieve-2.8-py3-none-any.whl", hash = "sha256:0cc76456a30e20f5d7f2e14a98a4ae2ee4e5abdc7c5ea0aafe795f344bc7984c", size = 36679, upload_time = "2025-08-27T15:39:50.179Z" }, + { url = "https://files.pythonhosted.org/packages/14/a0/bb38d3b76b8cae341dad93a2dd83ab7462e6dbcdd84d43f54ee60a8dc167/soupsieve-2.8-py3-none-any.whl", hash = "sha256:0cc76456a30e20f5d7f2e14a98a4ae2ee4e5abdc7c5ea0aafe795f344bc7984c", size = 36679, upload-time = "2025-08-27T15:39:50.179Z" }, ] [[package]] @@ -2361,9 +2397,9 @@ dependencies = [ { name = "sphinxcontrib-qthelp" }, { name = "sphinxcontrib-serializinghtml" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/38/ad/4360e50ed56cb483667b8e6dadf2d3fda62359593faabbe749a27c4eaca6/sphinx-8.2.3.tar.gz", hash = "sha256:398ad29dee7f63a75888314e9424d40f52ce5a6a87ae88e7071e80af296ec348", size = 8321876, upload_time = "2025-03-02T22:31:59.658Z" } +sdist = { url = "https://files.pythonhosted.org/packages/38/ad/4360e50ed56cb483667b8e6dadf2d3fda62359593faabbe749a27c4eaca6/sphinx-8.2.3.tar.gz", hash = "sha256:398ad29dee7f63a75888314e9424d40f52ce5a6a87ae88e7071e80af296ec348", size = 8321876, upload-time = "2025-03-02T22:31:59.658Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/31/53/136e9eca6e0b9dc0e1962e2c908fbea2e5ac000c2a2fbd9a35797958c48b/sphinx-8.2.3-py3-none-any.whl", hash = "sha256:4405915165f13521d875a8c29c8970800a0141c14cc5416a38feca4ea5d9b9c3", size = 3589741, upload_time = "2025-03-02T22:31:56.836Z" }, + { url = "https://files.pythonhosted.org/packages/31/53/136e9eca6e0b9dc0e1962e2c908fbea2e5ac000c2a2fbd9a35797958c48b/sphinx-8.2.3-py3-none-any.whl", hash = "sha256:4405915165f13521d875a8c29c8970800a0141c14cc5416a38feca4ea5d9b9c3", size = 3589741, upload-time = "2025-03-02T22:31:56.836Z" }, ] [[package]] @@ -2373,9 +2409,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "sphinx" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/fc/2b/a964715e7f5295f77509e59309959f4125122d648f86b4fe7d70ca1d882c/sphinx-copybutton-0.5.2.tar.gz", hash = "sha256:4cf17c82fb9646d1bc9ca92ac280813a3b605d8c421225fd9913154103ee1fbd", size = 23039, upload_time = "2023-04-14T08:10:22.998Z" } +sdist = { url = "https://files.pythonhosted.org/packages/fc/2b/a964715e7f5295f77509e59309959f4125122d648f86b4fe7d70ca1d882c/sphinx-copybutton-0.5.2.tar.gz", hash = "sha256:4cf17c82fb9646d1bc9ca92ac280813a3b605d8c421225fd9913154103ee1fbd", size = 23039, upload-time = "2023-04-14T08:10:22.998Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/9e/48/1ea60e74949eecb12cdd6ac43987f9fd331156388dcc2319b45e2ebb81bf/sphinx_copybutton-0.5.2-py3-none-any.whl", hash = "sha256:fb543fd386d917746c9a2c50360c7905b605726b9355cd26e9974857afeae06e", size = 13343, upload_time = "2023-04-14T08:10:20.844Z" }, + { url = "https://files.pythonhosted.org/packages/9e/48/1ea60e74949eecb12cdd6ac43987f9fd331156388dcc2319b45e2ebb81bf/sphinx_copybutton-0.5.2-py3-none-any.whl", hash = "sha256:fb543fd386d917746c9a2c50360c7905b605726b9355cd26e9974857afeae06e", size = 13343, upload-time = "2023-04-14T08:10:20.844Z" }, ] [[package]] @@ -2385,9 +2421,9 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "sphinx" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/2b/69/b34e0cb5336f09c6866d53b4a19d76c227cdec1bbc7ac4de63ca7d58c9c7/sphinx_design-0.6.1.tar.gz", hash = "sha256:b44eea3719386d04d765c1a8257caca2b3e6f8421d7b3a5e742c0fd45f84e632", size = 2193689, upload_time = "2024-08-02T13:48:44.277Z" } +sdist = { url = "https://files.pythonhosted.org/packages/2b/69/b34e0cb5336f09c6866d53b4a19d76c227cdec1bbc7ac4de63ca7d58c9c7/sphinx_design-0.6.1.tar.gz", hash = "sha256:b44eea3719386d04d765c1a8257caca2b3e6f8421d7b3a5e742c0fd45f84e632", size = 2193689, upload-time = "2024-08-02T13:48:44.277Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c6/43/65c0acbd8cc6f50195a3a1fc195c404988b15c67090e73c7a41a9f57d6bd/sphinx_design-0.6.1-py3-none-any.whl", hash = "sha256:b11f37db1a802a183d61b159d9a202314d4d2fe29c163437001324fe2f19549c", size = 2215338, upload_time = "2024-08-02T13:48:42.106Z" }, + { url = "https://files.pythonhosted.org/packages/c6/43/65c0acbd8cc6f50195a3a1fc195c404988b15c67090e73c7a41a9f57d6bd/sphinx_design-0.6.1-py3-none-any.whl", hash = "sha256:b11f37db1a802a183d61b159d9a202314d4d2fe29c163437001324fe2f19549c", size = 2215338, upload-time = "2024-08-02T13:48:42.106Z" }, ] [[package]] @@ -2399,63 +2435,63 @@ dependencies = [ { name = "pygments" }, { name = "sphinx" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/6a/53/a9a91995cb365e589f413b77fc75f1c0e9b4ac61bfa8da52a779ad855cc0/sphinx-tabs-3.4.7.tar.gz", hash = "sha256:991ad4a424ff54119799ba1491701aa8130dd43509474aef45a81c42d889784d", size = 15891, upload_time = "2024-10-08T13:37:27.887Z" } +sdist = { url = "https://files.pythonhosted.org/packages/6a/53/a9a91995cb365e589f413b77fc75f1c0e9b4ac61bfa8da52a779ad855cc0/sphinx-tabs-3.4.7.tar.gz", hash = "sha256:991ad4a424ff54119799ba1491701aa8130dd43509474aef45a81c42d889784d", size = 15891, upload-time = "2024-10-08T13:37:27.887Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/6b/c6/f47505b564b918a3ba60c1e99232d4942c4a7e44ecaae603e829e3d05dae/sphinx_tabs-3.4.7-py3-none-any.whl", hash = "sha256:c12d7a36fd413b369e9e9967a0a4015781b71a9c393575419834f19204bd1915", size = 9727, upload_time = "2024-10-08T13:37:26.192Z" }, + { url = "https://files.pythonhosted.org/packages/6b/c6/f47505b564b918a3ba60c1e99232d4942c4a7e44ecaae603e829e3d05dae/sphinx_tabs-3.4.7-py3-none-any.whl", hash = "sha256:c12d7a36fd413b369e9e9967a0a4015781b71a9c393575419834f19204bd1915", size = 9727, upload-time = "2024-10-08T13:37:26.192Z" }, ] [[package]] name = "sphinxcontrib-applehelp" version = "2.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ba/6e/b837e84a1a704953c62ef8776d45c3e8d759876b4a84fe14eba2859106fe/sphinxcontrib_applehelp-2.0.0.tar.gz", hash = "sha256:2f29ef331735ce958efa4734873f084941970894c6090408b079c61b2e1c06d1", size = 20053, upload_time = "2024-07-29T01:09:00.465Z" } +sdist = { url = "https://files.pythonhosted.org/packages/ba/6e/b837e84a1a704953c62ef8776d45c3e8d759876b4a84fe14eba2859106fe/sphinxcontrib_applehelp-2.0.0.tar.gz", hash = "sha256:2f29ef331735ce958efa4734873f084941970894c6090408b079c61b2e1c06d1", size = 20053, upload-time = "2024-07-29T01:09:00.465Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/5d/85/9ebeae2f76e9e77b952f4b274c27238156eae7979c5421fba91a28f4970d/sphinxcontrib_applehelp-2.0.0-py3-none-any.whl", hash = "sha256:4cd3f0ec4ac5dd9c17ec65e9ab272c9b867ea77425228e68ecf08d6b28ddbdb5", size = 119300, upload_time = "2024-07-29T01:08:58.99Z" }, + { url = "https://files.pythonhosted.org/packages/5d/85/9ebeae2f76e9e77b952f4b274c27238156eae7979c5421fba91a28f4970d/sphinxcontrib_applehelp-2.0.0-py3-none-any.whl", hash = "sha256:4cd3f0ec4ac5dd9c17ec65e9ab272c9b867ea77425228e68ecf08d6b28ddbdb5", size = 119300, upload-time = "2024-07-29T01:08:58.99Z" }, ] [[package]] name = "sphinxcontrib-devhelp" version = "2.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/f6/d2/5beee64d3e4e747f316bae86b55943f51e82bb86ecd325883ef65741e7da/sphinxcontrib_devhelp-2.0.0.tar.gz", hash = "sha256:411f5d96d445d1d73bb5d52133377b4248ec79db5c793ce7dbe59e074b4dd1ad", size = 12967, upload_time = "2024-07-29T01:09:23.417Z" } +sdist = { url = "https://files.pythonhosted.org/packages/f6/d2/5beee64d3e4e747f316bae86b55943f51e82bb86ecd325883ef65741e7da/sphinxcontrib_devhelp-2.0.0.tar.gz", hash = "sha256:411f5d96d445d1d73bb5d52133377b4248ec79db5c793ce7dbe59e074b4dd1ad", size = 12967, upload-time = "2024-07-29T01:09:23.417Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/35/7a/987e583882f985fe4d7323774889ec58049171828b58c2217e7f79cdf44e/sphinxcontrib_devhelp-2.0.0-py3-none-any.whl", hash = "sha256:aefb8b83854e4b0998877524d1029fd3e6879210422ee3780459e28a1f03a8a2", size = 82530, upload_time = "2024-07-29T01:09:21.945Z" }, + { url = "https://files.pythonhosted.org/packages/35/7a/987e583882f985fe4d7323774889ec58049171828b58c2217e7f79cdf44e/sphinxcontrib_devhelp-2.0.0-py3-none-any.whl", hash = "sha256:aefb8b83854e4b0998877524d1029fd3e6879210422ee3780459e28a1f03a8a2", size = 82530, upload-time = "2024-07-29T01:09:21.945Z" }, ] [[package]] name = "sphinxcontrib-htmlhelp" version = "2.1.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/43/93/983afd9aa001e5201eab16b5a444ed5b9b0a7a010541e0ddfbbfd0b2470c/sphinxcontrib_htmlhelp-2.1.0.tar.gz", hash = "sha256:c9e2916ace8aad64cc13a0d233ee22317f2b9025b9cf3295249fa985cc7082e9", size = 22617, upload_time = "2024-07-29T01:09:37.889Z" } +sdist = { url = "https://files.pythonhosted.org/packages/43/93/983afd9aa001e5201eab16b5a444ed5b9b0a7a010541e0ddfbbfd0b2470c/sphinxcontrib_htmlhelp-2.1.0.tar.gz", hash = "sha256:c9e2916ace8aad64cc13a0d233ee22317f2b9025b9cf3295249fa985cc7082e9", size = 22617, upload-time = "2024-07-29T01:09:37.889Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/0a/7b/18a8c0bcec9182c05a0b3ec2a776bba4ead82750a55ff798e8d406dae604/sphinxcontrib_htmlhelp-2.1.0-py3-none-any.whl", hash = "sha256:166759820b47002d22914d64a075ce08f4c46818e17cfc9470a9786b759b19f8", size = 98705, upload_time = "2024-07-29T01:09:36.407Z" }, + { url = "https://files.pythonhosted.org/packages/0a/7b/18a8c0bcec9182c05a0b3ec2a776bba4ead82750a55ff798e8d406dae604/sphinxcontrib_htmlhelp-2.1.0-py3-none-any.whl", hash = "sha256:166759820b47002d22914d64a075ce08f4c46818e17cfc9470a9786b759b19f8", size = 98705, upload-time = "2024-07-29T01:09:36.407Z" }, ] [[package]] name = "sphinxcontrib-jsmath" version = "1.0.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/b2/e8/9ed3830aeed71f17c026a07a5097edcf44b692850ef215b161b8ad875729/sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8", size = 5787, upload_time = "2019-01-21T16:10:16.347Z" } +sdist = { url = "https://files.pythonhosted.org/packages/b2/e8/9ed3830aeed71f17c026a07a5097edcf44b692850ef215b161b8ad875729/sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8", size = 5787, upload-time = "2019-01-21T16:10:16.347Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/c2/42/4c8646762ee83602e3fb3fbe774c2fac12f317deb0b5dbeeedd2d3ba4b77/sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178", size = 5071, upload_time = "2019-01-21T16:10:14.333Z" }, + { url = "https://files.pythonhosted.org/packages/c2/42/4c8646762ee83602e3fb3fbe774c2fac12f317deb0b5dbeeedd2d3ba4b77/sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178", size = 5071, upload-time = "2019-01-21T16:10:14.333Z" }, ] [[package]] name = "sphinxcontrib-qthelp" version = "2.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/68/bc/9104308fc285eb3e0b31b67688235db556cd5b0ef31d96f30e45f2e51cae/sphinxcontrib_qthelp-2.0.0.tar.gz", hash = "sha256:4fe7d0ac8fc171045be623aba3e2a8f613f8682731f9153bb2e40ece16b9bbab", size = 17165, upload_time = "2024-07-29T01:09:56.435Z" } +sdist = { url = "https://files.pythonhosted.org/packages/68/bc/9104308fc285eb3e0b31b67688235db556cd5b0ef31d96f30e45f2e51cae/sphinxcontrib_qthelp-2.0.0.tar.gz", hash = "sha256:4fe7d0ac8fc171045be623aba3e2a8f613f8682731f9153bb2e40ece16b9bbab", size = 17165, upload-time = "2024-07-29T01:09:56.435Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/27/83/859ecdd180cacc13b1f7e857abf8582a64552ea7a061057a6c716e790fce/sphinxcontrib_qthelp-2.0.0-py3-none-any.whl", hash = "sha256:b18a828cdba941ccd6ee8445dbe72ffa3ef8cbe7505d8cd1fa0d42d3f2d5f3eb", size = 88743, upload_time = "2024-07-29T01:09:54.885Z" }, + { url = "https://files.pythonhosted.org/packages/27/83/859ecdd180cacc13b1f7e857abf8582a64552ea7a061057a6c716e790fce/sphinxcontrib_qthelp-2.0.0-py3-none-any.whl", hash = "sha256:b18a828cdba941ccd6ee8445dbe72ffa3ef8cbe7505d8cd1fa0d42d3f2d5f3eb", size = 88743, upload-time = "2024-07-29T01:09:54.885Z" }, ] [[package]] name = "sphinxcontrib-serializinghtml" version = "2.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/3b/44/6716b257b0aa6bfd51a1b31665d1c205fb12cb5ad56de752dfa15657de2f/sphinxcontrib_serializinghtml-2.0.0.tar.gz", hash = "sha256:e9d912827f872c029017a53f0ef2180b327c3f7fd23c87229f7a8e8b70031d4d", size = 16080, upload_time = "2024-07-29T01:10:09.332Z" } +sdist = { url = "https://files.pythonhosted.org/packages/3b/44/6716b257b0aa6bfd51a1b31665d1c205fb12cb5ad56de752dfa15657de2f/sphinxcontrib_serializinghtml-2.0.0.tar.gz", hash = "sha256:e9d912827f872c029017a53f0ef2180b327c3f7fd23c87229f7a8e8b70031d4d", size = 16080, upload-time = "2024-07-29T01:10:09.332Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/52/a7/d2782e4e3f77c8450f727ba74a8f12756d5ba823d81b941f1b04da9d033a/sphinxcontrib_serializinghtml-2.0.0-py3-none-any.whl", hash = "sha256:6e2cb0eef194e10c27ec0023bfeb25badbbb5868244cf5bc5bdc04e4464bf331", size = 92072, upload_time = "2024-07-29T01:10:08.203Z" }, + { url = "https://files.pythonhosted.org/packages/52/a7/d2782e4e3f77c8450f727ba74a8f12756d5ba823d81b941f1b04da9d033a/sphinxcontrib_serializinghtml-2.0.0-py3-none-any.whl", hash = "sha256:6e2cb0eef194e10c27ec0023bfeb25badbbb5868244cf5bc5bdc04e4464bf331", size = 92072, upload-time = "2024-07-29T01:10:08.203Z" }, ] [[package]] @@ -2467,9 +2503,9 @@ dependencies = [ { name = "executing" }, { name = "pure-eval" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/28/e3/55dcc2cfbc3ca9c29519eb6884dd1415ecb53b0e934862d3559ddcb7e20b/stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9", size = 44707, upload_time = "2023-09-30T13:58:05.479Z" } +sdist = { url = "https://files.pythonhosted.org/packages/28/e3/55dcc2cfbc3ca9c29519eb6884dd1415ecb53b0e934862d3559ddcb7e20b/stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9", size = 44707, upload-time = "2023-09-30T13:58:05.479Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/f1/7b/ce1eafaf1a76852e2ec9b22edecf1daa58175c090266e9f6c64afcd81d91/stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695", size = 24521, upload_time = "2023-09-30T13:58:03.53Z" }, + { url = "https://files.pythonhosted.org/packages/f1/7b/ce1eafaf1a76852e2ec9b22edecf1daa58175c090266e9f6c64afcd81d91/stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695", size = 24521, upload-time = "2023-09-30T13:58:03.53Z" }, ] [[package]] @@ -2481,9 +2517,9 @@ dependencies = [ { name = "pywinpty", marker = "os_name == 'nt'" }, { name = "tornado" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/8a/11/965c6fd8e5cc254f1fe142d547387da17a8ebfd75a3455f637c663fb38a0/terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e", size = 32701, upload_time = "2024-03-12T14:34:39.026Z" } +sdist = { url = "https://files.pythonhosted.org/packages/8a/11/965c6fd8e5cc254f1fe142d547387da17a8ebfd75a3455f637c663fb38a0/terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e", size = 32701, upload-time = "2024-03-12T14:34:39.026Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/6a/9e/2064975477fdc887e47ad42157e214526dcad8f317a948dee17e1659a62f/terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0", size = 14154, upload_time = "2024-03-12T14:34:36.569Z" }, + { url = "https://files.pythonhosted.org/packages/6a/9e/2064975477fdc887e47ad42157e214526dcad8f317a948dee17e1659a62f/terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0", size = 14154, upload-time = "2024-03-12T14:34:36.569Z" }, ] [[package]] @@ -2493,125 +2529,134 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "webencodings" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/7a/fd/7a5ee21fd08ff70d3d33a5781c255cbe779659bd03278feb98b19ee550f4/tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7", size = 87085, upload_time = "2024-10-24T14:58:29.895Z" } +sdist = { url = "https://files.pythonhosted.org/packages/7a/fd/7a5ee21fd08ff70d3d33a5781c255cbe779659bd03278feb98b19ee550f4/tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7", size = 87085, upload-time = "2024-10-24T14:58:29.895Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e6/34/ebdc18bae6aa14fbee1a08b63c015c72b64868ff7dae68808ab500c492e2/tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289", size = 26610, upload_time = "2024-10-24T14:58:28.029Z" }, + { url = "https://files.pythonhosted.org/packages/e6/34/ebdc18bae6aa14fbee1a08b63c015c72b64868ff7dae68808ab500c492e2/tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289", size = 26610, upload-time = "2024-10-24T14:58:28.029Z" }, ] [[package]] name = "tornado" version = "6.5.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/09/ce/1eb500eae19f4648281bb2186927bb062d2438c2e5093d1360391afd2f90/tornado-6.5.2.tar.gz", hash = "sha256:ab53c8f9a0fa351e2c0741284e06c7a45da86afb544133201c5cc8578eb076a0", size = 510821, upload_time = "2025-08-08T18:27:00.78Z" } +sdist = { url = "https://files.pythonhosted.org/packages/09/ce/1eb500eae19f4648281bb2186927bb062d2438c2e5093d1360391afd2f90/tornado-6.5.2.tar.gz", hash = "sha256:ab53c8f9a0fa351e2c0741284e06c7a45da86afb544133201c5cc8578eb076a0", size = 510821, upload-time = "2025-08-08T18:27:00.78Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/f6/48/6a7529df2c9cc12efd2e8f5dd219516184d703b34c06786809670df5b3bd/tornado-6.5.2-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:2436822940d37cde62771cff8774f4f00b3c8024fe482e16ca8387b8a2724db6", size = 442563, upload_time = "2025-08-08T18:26:42.945Z" }, - { url = "https://files.pythonhosted.org/packages/f2/b5/9b575a0ed3e50b00c40b08cbce82eb618229091d09f6d14bce80fc01cb0b/tornado-6.5.2-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:583a52c7aa94ee046854ba81d9ebb6c81ec0fd30386d96f7640c96dad45a03ef", size = 440729, upload_time = "2025-08-08T18:26:44.473Z" }, - { url = "https://files.pythonhosted.org/packages/1b/4e/619174f52b120efcf23633c817fd3fed867c30bff785e2cd5a53a70e483c/tornado-6.5.2-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b0fe179f28d597deab2842b86ed4060deec7388f1fd9c1b4a41adf8af058907e", size = 444295, upload_time = "2025-08-08T18:26:46.021Z" }, - { url = "https://files.pythonhosted.org/packages/95/fa/87b41709552bbd393c85dd18e4e3499dcd8983f66e7972926db8d96aa065/tornado-6.5.2-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b186e85d1e3536d69583d2298423744740986018e393d0321df7340e71898882", size = 443644, upload_time = "2025-08-08T18:26:47.625Z" }, - { url = "https://files.pythonhosted.org/packages/f9/41/fb15f06e33d7430ca89420283a8762a4e6b8025b800ea51796ab5e6d9559/tornado-6.5.2-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e792706668c87709709c18b353da1f7662317b563ff69f00bab83595940c7108", size = 443878, upload_time = "2025-08-08T18:26:50.599Z" }, - { url = "https://files.pythonhosted.org/packages/11/92/fe6d57da897776ad2e01e279170ea8ae726755b045fe5ac73b75357a5a3f/tornado-6.5.2-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:06ceb1300fd70cb20e43b1ad8aaee0266e69e7ced38fa910ad2e03285009ce7c", size = 444549, upload_time = "2025-08-08T18:26:51.864Z" }, - { url = "https://files.pythonhosted.org/packages/9b/02/c8f4f6c9204526daf3d760f4aa555a7a33ad0e60843eac025ccfd6ff4a93/tornado-6.5.2-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:74db443e0f5251be86cbf37929f84d8c20c27a355dd452a5cfa2aada0d001ec4", size = 443973, upload_time = "2025-08-08T18:26:53.625Z" }, - { url = "https://files.pythonhosted.org/packages/ae/2d/f5f5707b655ce2317190183868cd0f6822a1121b4baeae509ceb9590d0bd/tornado-6.5.2-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b5e735ab2889d7ed33b32a459cac490eda71a1ba6857b0118de476ab6c366c04", size = 443954, upload_time = "2025-08-08T18:26:55.072Z" }, - { url = "https://files.pythonhosted.org/packages/e8/59/593bd0f40f7355806bf6573b47b8c22f8e1374c9b6fd03114bd6b7a3dcfd/tornado-6.5.2-cp39-abi3-win32.whl", hash = "sha256:c6f29e94d9b37a95013bb669616352ddb82e3bfe8326fccee50583caebc8a5f0", size = 445023, upload_time = "2025-08-08T18:26:56.677Z" }, - { url = "https://files.pythonhosted.org/packages/c7/2a/f609b420c2f564a748a2d80ebfb2ee02a73ca80223af712fca591386cafb/tornado-6.5.2-cp39-abi3-win_amd64.whl", hash = "sha256:e56a5af51cc30dd2cae649429af65ca2f6571da29504a07995175df14c18f35f", size = 445427, upload_time = "2025-08-08T18:26:57.91Z" }, - { url = "https://files.pythonhosted.org/packages/5e/4f/e1f65e8f8c76d73658b33d33b81eed4322fb5085350e4328d5c956f0c8f9/tornado-6.5.2-cp39-abi3-win_arm64.whl", hash = "sha256:d6c33dc3672e3a1f3618eb63b7ef4683a7688e7b9e6e8f0d9aa5726360a004af", size = 444456, upload_time = "2025-08-08T18:26:59.207Z" }, + { url = "https://files.pythonhosted.org/packages/f6/48/6a7529df2c9cc12efd2e8f5dd219516184d703b34c06786809670df5b3bd/tornado-6.5.2-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:2436822940d37cde62771cff8774f4f00b3c8024fe482e16ca8387b8a2724db6", size = 442563, upload-time = "2025-08-08T18:26:42.945Z" }, + { url = "https://files.pythonhosted.org/packages/f2/b5/9b575a0ed3e50b00c40b08cbce82eb618229091d09f6d14bce80fc01cb0b/tornado-6.5.2-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:583a52c7aa94ee046854ba81d9ebb6c81ec0fd30386d96f7640c96dad45a03ef", size = 440729, upload-time = "2025-08-08T18:26:44.473Z" }, + { url = "https://files.pythonhosted.org/packages/1b/4e/619174f52b120efcf23633c817fd3fed867c30bff785e2cd5a53a70e483c/tornado-6.5.2-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b0fe179f28d597deab2842b86ed4060deec7388f1fd9c1b4a41adf8af058907e", size = 444295, upload-time = "2025-08-08T18:26:46.021Z" }, + { url = "https://files.pythonhosted.org/packages/95/fa/87b41709552bbd393c85dd18e4e3499dcd8983f66e7972926db8d96aa065/tornado-6.5.2-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b186e85d1e3536d69583d2298423744740986018e393d0321df7340e71898882", size = 443644, upload-time = "2025-08-08T18:26:47.625Z" }, + { url = "https://files.pythonhosted.org/packages/f9/41/fb15f06e33d7430ca89420283a8762a4e6b8025b800ea51796ab5e6d9559/tornado-6.5.2-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e792706668c87709709c18b353da1f7662317b563ff69f00bab83595940c7108", size = 443878, upload-time = "2025-08-08T18:26:50.599Z" }, + { url = "https://files.pythonhosted.org/packages/11/92/fe6d57da897776ad2e01e279170ea8ae726755b045fe5ac73b75357a5a3f/tornado-6.5.2-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:06ceb1300fd70cb20e43b1ad8aaee0266e69e7ced38fa910ad2e03285009ce7c", size = 444549, upload-time = "2025-08-08T18:26:51.864Z" }, + { url = "https://files.pythonhosted.org/packages/9b/02/c8f4f6c9204526daf3d760f4aa555a7a33ad0e60843eac025ccfd6ff4a93/tornado-6.5.2-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:74db443e0f5251be86cbf37929f84d8c20c27a355dd452a5cfa2aada0d001ec4", size = 443973, upload-time = "2025-08-08T18:26:53.625Z" }, + { url = "https://files.pythonhosted.org/packages/ae/2d/f5f5707b655ce2317190183868cd0f6822a1121b4baeae509ceb9590d0bd/tornado-6.5.2-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b5e735ab2889d7ed33b32a459cac490eda71a1ba6857b0118de476ab6c366c04", size = 443954, upload-time = "2025-08-08T18:26:55.072Z" }, + { url = "https://files.pythonhosted.org/packages/e8/59/593bd0f40f7355806bf6573b47b8c22f8e1374c9b6fd03114bd6b7a3dcfd/tornado-6.5.2-cp39-abi3-win32.whl", hash = "sha256:c6f29e94d9b37a95013bb669616352ddb82e3bfe8326fccee50583caebc8a5f0", size = 445023, upload-time = "2025-08-08T18:26:56.677Z" }, + { url = "https://files.pythonhosted.org/packages/c7/2a/f609b420c2f564a748a2d80ebfb2ee02a73ca80223af712fca591386cafb/tornado-6.5.2-cp39-abi3-win_amd64.whl", hash = "sha256:e56a5af51cc30dd2cae649429af65ca2f6571da29504a07995175df14c18f35f", size = 445427, upload-time = "2025-08-08T18:26:57.91Z" }, + { url = "https://files.pythonhosted.org/packages/5e/4f/e1f65e8f8c76d73658b33d33b81eed4322fb5085350e4328d5c956f0c8f9/tornado-6.5.2-cp39-abi3-win_arm64.whl", hash = "sha256:d6c33dc3672e3a1f3618eb63b7ef4683a7688e7b9e6e8f0d9aa5726360a004af", size = 444456, upload-time = "2025-08-08T18:26:59.207Z" }, ] [[package]] name = "traitlets" version = "5.14.3" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/eb/79/72064e6a701c2183016abbbfedaba506d81e30e232a68c9f0d6f6fcd1574/traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7", size = 161621, upload_time = "2024-04-19T11:11:49.746Z" } +sdist = { url = "https://files.pythonhosted.org/packages/eb/79/72064e6a701c2183016abbbfedaba506d81e30e232a68c9f0d6f6fcd1574/traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7", size = 161621, upload-time = "2024-04-19T11:11:49.746Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/00/c0/8f5d070730d7836adc9c9b6408dec68c6ced86b304a9b26a14df072a6e8c/traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f", size = 85359, upload_time = "2024-04-19T11:11:46.763Z" }, + { url = "https://files.pythonhosted.org/packages/00/c0/8f5d070730d7836adc9c9b6408dec68c6ced86b304a9b26a14df072a6e8c/traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f", size = 85359, upload-time = "2024-04-19T11:11:46.763Z" }, ] [[package]] name = "typing-extensions" version = "4.15.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/72/94/1a15dd82efb362ac84269196e94cf00f187f7ed21c242792a923cdb1c61f/typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466", size = 109391, upload_time = "2025-08-25T13:49:26.313Z" } +sdist = { url = "https://files.pythonhosted.org/packages/72/94/1a15dd82efb362ac84269196e94cf00f187f7ed21c242792a923cdb1c61f/typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466", size = 109391, upload-time = "2025-08-25T13:49:26.313Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548", size = 44614, upload_time = "2025-08-25T13:49:24.86Z" }, + { url = "https://files.pythonhosted.org/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548", size = 44614, upload-time = "2025-08-25T13:49:24.86Z" }, ] [[package]] name = "tzdata" version = "2025.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/95/32/1a225d6164441be760d75c2c42e2780dc0873fe382da3e98a2e1e48361e5/tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9", size = 196380, upload_time = "2025-03-23T13:54:43.652Z" } +sdist = { url = "https://files.pythonhosted.org/packages/95/32/1a225d6164441be760d75c2c42e2780dc0873fe382da3e98a2e1e48361e5/tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9", size = 196380, upload-time = "2025-03-23T13:54:43.652Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5c/23/c7abc0ca0a1526a0774eca151daeb8de62ec457e77262b66b359c3c7679e/tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8", size = 347839, upload-time = "2025-03-23T13:54:41.845Z" }, +] + +[[package]] +name = "uncertainties" +version = "3.2.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/fe/0c/cb09f33b26955399c675ab378e4063ed7e48422d3d49f96219ab0be5eba9/uncertainties-3.2.3.tar.gz", hash = "sha256:76a5653e686f617a42922d546a239e9efce72e6b35411b7750a1d12dcba03031", size = 160492, upload-time = "2025-04-21T19:58:28.63Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/5c/23/c7abc0ca0a1526a0774eca151daeb8de62ec457e77262b66b359c3c7679e/tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8", size = 347839, upload_time = "2025-03-23T13:54:41.845Z" }, + { url = "https://files.pythonhosted.org/packages/8f/5e/f1e1dd319e35e962a4e00b33150a8868b6329cc1d19fd533436ba5488f09/uncertainties-3.2.3-py3-none-any.whl", hash = "sha256:313353900d8f88b283c9bad81e7d2b2d3d4bcc330cbace35403faaed7e78890a", size = 60118, upload-time = "2025-04-21T19:58:26.864Z" }, ] [[package]] name = "uri-template" version = "1.3.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/31/c7/0336f2bd0bcbada6ccef7aaa25e443c118a704f828a0620c6fa0207c1b64/uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7", size = 21678, upload_time = "2023-06-21T01:49:05.374Z" } +sdist = { url = "https://files.pythonhosted.org/packages/31/c7/0336f2bd0bcbada6ccef7aaa25e443c118a704f828a0620c6fa0207c1b64/uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7", size = 21678, upload-time = "2023-06-21T01:49:05.374Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e7/00/3fca040d7cf8a32776d3d81a00c8ee7457e00f80c649f1e4a863c8321ae9/uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363", size = 11140, upload_time = "2023-06-21T01:49:03.467Z" }, + { url = "https://files.pythonhosted.org/packages/e7/00/3fca040d7cf8a32776d3d81a00c8ee7457e00f80c649f1e4a863c8321ae9/uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363", size = 11140, upload-time = "2023-06-21T01:49:03.467Z" }, ] [[package]] name = "urllib3" version = "2.5.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/15/22/9ee70a2574a4f4599c47dd506532914ce044817c7752a79b6a51286319bc/urllib3-2.5.0.tar.gz", hash = "sha256:3fc47733c7e419d4bc3f6b3dc2b4f890bb743906a30d56ba4a5bfa4bbff92760", size = 393185, upload_time = "2025-06-18T14:07:41.644Z" } +sdist = { url = "https://files.pythonhosted.org/packages/15/22/9ee70a2574a4f4599c47dd506532914ce044817c7752a79b6a51286319bc/urllib3-2.5.0.tar.gz", hash = "sha256:3fc47733c7e419d4bc3f6b3dc2b4f890bb743906a30d56ba4a5bfa4bbff92760", size = 393185, upload-time = "2025-06-18T14:07:41.644Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/a7/c2/fe1e52489ae3122415c51f387e221dd0773709bad6c6cdaa599e8a2c5185/urllib3-2.5.0-py3-none-any.whl", hash = "sha256:e6b01673c0fa6a13e374b50871808eb3bf7046c4b125b216f6bf1cc604cff0dc", size = 129795, upload_time = "2025-06-18T14:07:40.39Z" }, + { url = "https://files.pythonhosted.org/packages/a7/c2/fe1e52489ae3122415c51f387e221dd0773709bad6c6cdaa599e8a2c5185/urllib3-2.5.0-py3-none-any.whl", hash = "sha256:e6b01673c0fa6a13e374b50871808eb3bf7046c4b125b216f6bf1cc604cff0dc", size = 129795, upload-time = "2025-06-18T14:07:40.39Z" }, ] [[package]] name = "wcwidth" version = "0.2.14" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/24/30/6b0809f4510673dc723187aeaf24c7f5459922d01e2f794277a3dfb90345/wcwidth-0.2.14.tar.gz", hash = "sha256:4d478375d31bc5395a3c55c40ccdf3354688364cd61c4f6adacaa9215d0b3605", size = 102293, upload_time = "2025-09-22T16:29:53.023Z" } +sdist = { url = "https://files.pythonhosted.org/packages/24/30/6b0809f4510673dc723187aeaf24c7f5459922d01e2f794277a3dfb90345/wcwidth-0.2.14.tar.gz", hash = "sha256:4d478375d31bc5395a3c55c40ccdf3354688364cd61c4f6adacaa9215d0b3605", size = 102293, upload-time = "2025-09-22T16:29:53.023Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/af/b5/123f13c975e9f27ab9c0770f514345bd406d0e8d3b7a0723af9d43f710af/wcwidth-0.2.14-py2.py3-none-any.whl", hash = "sha256:a7bb560c8aee30f9957e5f9895805edd20602f2d7f720186dfd906e82b4982e1", size = 37286, upload_time = "2025-09-22T16:29:51.641Z" }, + { url = "https://files.pythonhosted.org/packages/af/b5/123f13c975e9f27ab9c0770f514345bd406d0e8d3b7a0723af9d43f710af/wcwidth-0.2.14-py2.py3-none-any.whl", hash = "sha256:a7bb560c8aee30f9957e5f9895805edd20602f2d7f720186dfd906e82b4982e1", size = 37286, upload-time = "2025-09-22T16:29:51.641Z" }, ] [[package]] name = "webcolors" version = "25.10.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/1d/7a/eb316761ec35664ea5174709a68bbd3389de60d4a1ebab8808bfc264ed67/webcolors-25.10.0.tar.gz", hash = "sha256:62abae86504f66d0f6364c2a8520de4a0c47b80c03fc3a5f1815fedbef7c19bf", size = 53491, upload_time = "2025-10-31T07:51:03.977Z" } +sdist = { url = "https://files.pythonhosted.org/packages/1d/7a/eb316761ec35664ea5174709a68bbd3389de60d4a1ebab8808bfc264ed67/webcolors-25.10.0.tar.gz", hash = "sha256:62abae86504f66d0f6364c2a8520de4a0c47b80c03fc3a5f1815fedbef7c19bf", size = 53491, upload-time = "2025-10-31T07:51:03.977Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e2/cc/e097523dd85c9cf5d354f78310927f1656c422bd7b2613b2db3e3f9a0f2c/webcolors-25.10.0-py3-none-any.whl", hash = "sha256:032c727334856fc0b968f63daa252a1ac93d33db2f5267756623c210e57a4f1d", size = 14905, upload_time = "2025-10-31T07:51:01.778Z" }, + { url = "https://files.pythonhosted.org/packages/e2/cc/e097523dd85c9cf5d354f78310927f1656c422bd7b2613b2db3e3f9a0f2c/webcolors-25.10.0-py3-none-any.whl", hash = "sha256:032c727334856fc0b968f63daa252a1ac93d33db2f5267756623c210e57a4f1d", size = 14905, upload-time = "2025-10-31T07:51:01.778Z" }, ] [[package]] name = "webencodings" version = "0.5.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/0b/02/ae6ceac1baeda530866a85075641cec12989bd8d31af6d5ab4a3e8c92f47/webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923", size = 9721, upload_time = "2017-04-05T20:21:34.189Z" } +sdist = { url = "https://files.pythonhosted.org/packages/0b/02/ae6ceac1baeda530866a85075641cec12989bd8d31af6d5ab4a3e8c92f47/webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923", size = 9721, upload-time = "2017-04-05T20:21:34.189Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", size = 11774, upload_time = "2017-04-05T20:21:32.581Z" }, + { url = "https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", size = 11774, upload-time = "2017-04-05T20:21:32.581Z" }, ] [[package]] name = "websocket-client" version = "1.9.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/2c/41/aa4bf9664e4cda14c3b39865b12251e8e7d239f4cd0e3cc1b6c2ccde25c1/websocket_client-1.9.0.tar.gz", hash = "sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98", size = 70576, upload_time = "2025-10-07T21:16:36.495Z" } +sdist = { url = "https://files.pythonhosted.org/packages/2c/41/aa4bf9664e4cda14c3b39865b12251e8e7d239f4cd0e3cc1b6c2ccde25c1/websocket_client-1.9.0.tar.gz", hash = "sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98", size = 70576, upload-time = "2025-10-07T21:16:36.495Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/34/db/b10e48aa8fff7407e67470363eac595018441cf32d5e1001567a7aeba5d2/websocket_client-1.9.0-py3-none-any.whl", hash = "sha256:af248a825037ef591efbf6ed20cc5faa03d3b47b9e5a2230a529eeee1c1fc3ef", size = 82616, upload_time = "2025-10-07T21:16:34.951Z" }, + { url = "https://files.pythonhosted.org/packages/34/db/b10e48aa8fff7407e67470363eac595018441cf32d5e1001567a7aeba5d2/websocket_client-1.9.0-py3-none-any.whl", hash = "sha256:af248a825037ef591efbf6ed20cc5faa03d3b47b9e5a2230a529eeee1c1fc3ef", size = 82616, upload-time = "2025-10-07T21:16:34.951Z" }, ] [[package]] name = "widgetsnbextension" version = "4.0.15" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/bd/f4/c67440c7fb409a71b7404b7aefcd7569a9c0d6bd071299bf4198ae7a5d95/widgetsnbextension-4.0.15.tar.gz", hash = "sha256:de8610639996f1567952d763a5a41af8af37f2575a41f9852a38f947eb82a3b9", size = 1097402, upload_time = "2025-11-01T21:15:55.178Z" } +sdist = { url = "https://files.pythonhosted.org/packages/bd/f4/c67440c7fb409a71b7404b7aefcd7569a9c0d6bd071299bf4198ae7a5d95/widgetsnbextension-4.0.15.tar.gz", hash = "sha256:de8610639996f1567952d763a5a41af8af37f2575a41f9852a38f947eb82a3b9", size = 1097402, upload-time = "2025-11-01T21:15:55.178Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/3f/0e/fa3b193432cfc60c93b42f3be03365f5f909d2b3ea410295cf36df739e31/widgetsnbextension-4.0.15-py3-none-any.whl", hash = "sha256:8156704e4346a571d9ce73b84bee86a29906c9abfd7223b7228a28899ccf3366", size = 2196503, upload_time = "2025-11-01T21:15:53.565Z" }, + { url = "https://files.pythonhosted.org/packages/3f/0e/fa3b193432cfc60c93b42f3be03365f5f909d2b3ea410295cf36df739e31/widgetsnbextension-4.0.15-py3-none-any.whl", hash = "sha256:8156704e4346a571d9ce73b84bee86a29906c9abfd7223b7228a28899ccf3366", size = 2196503, upload-time = "2025-11-01T21:15:53.565Z" }, ] [[package]] name = "xlrd" version = "2.0.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/07/5a/377161c2d3538d1990d7af382c79f3b2372e880b65de21b01b1a2b78691e/xlrd-2.0.2.tar.gz", hash = "sha256:08b5e25de58f21ce71dc7db3b3b8106c1fa776f3024c54e45b45b374e89234c9", size = 100167, upload_time = "2025-06-14T08:46:39.039Z" } +sdist = { url = "https://files.pythonhosted.org/packages/07/5a/377161c2d3538d1990d7af382c79f3b2372e880b65de21b01b1a2b78691e/xlrd-2.0.2.tar.gz", hash = "sha256:08b5e25de58f21ce71dc7db3b3b8106c1fa776f3024c54e45b45b374e89234c9", size = 100167, upload-time = "2025-06-14T08:46:39.039Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/1a/62/c8d562e7766786ba6587d09c5a8ba9f718ed3fa8af7f4553e8f91c36f302/xlrd-2.0.2-py2.py3-none-any.whl", hash = "sha256:ea762c3d29f4cca48d82df517b6d89fbce4db3107f9d78713e48cd321d5c9aa9", size = 96555, upload_time = "2025-06-14T08:46:37.766Z" }, + { url = "https://files.pythonhosted.org/packages/1a/62/c8d562e7766786ba6587d09c5a8ba9f718ed3fa8af7f4553e8f91c36f302/xlrd-2.0.2-py2.py3-none-any.whl", hash = "sha256:ea762c3d29f4cca48d82df517b6d89fbce4db3107f9d78713e48cd321d5c9aa9", size = 96555, upload-time = "2025-06-14T08:46:37.766Z" }, ] From e3659135a9dfce056700e9d8660da07ed8aa1c41 Mon Sep 17 00:00:00 2001 From: osvalb Date: Tue, 12 May 2026 22:37:48 +0200 Subject: [PATCH 2/7] add confidence interval and refactor code --- pyproject.toml | 1 + src/pychemelt/experimental/dev_code.py | 774 +++++++++++++++++++ src/pychemelt/main.py | 3 + src/pychemelt/monomer.py | 20 +- src/pychemelt/thermal_oligomer.py | 35 +- src/pychemelt/utils/fitting.py | 231 +++--- src/pychemelt/utils/math.py | 6 +- tests/test_fitting.py | 53 +- tests/test_fitting_therm_oligo_2.py | 38 + tests/test_main_3.py | 4 +- tests/test_main_therm_oligo_three_state_2.py | 1 - tests/test_processing.py | 2 +- uv.lock | 15 + 13 files changed, 1027 insertions(+), 156 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 19e3cf0..b2da218 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,6 +7,7 @@ requires-python = ">=3.12" dependencies = [ "lmfit>=1.3.4", "matplotlib>=3.10.7", + "numdifftools>=0.9.42", "numpy>=2.3.5", "openpyxl>=3.1.5", "pandas>=2.3.3", diff --git a/src/pychemelt/experimental/dev_code.py b/src/pychemelt/experimental/dev_code.py index 6d5da10..71a07c1 100644 --- a/src/pychemelt/experimental/dev_code.py +++ b/src/pychemelt/experimental/dev_code.py @@ -575,4 +575,778 @@ def unfolding(dummyVariable, *args): predicted_lst.append(predicted[init:init + n]) init += n + +def fit_tc_unfolding_single_slopes( + list_of_temperatures, + list_of_signals, + denaturant_concentrations, + initial_parameters, + low_bounds, + high_bounds, + signal_fx, + baseline_native_fx, + baseline_unfolded_fx, + list_of_oligomer_conc=None, + fit_m1=False, + cp_value=None, + tm_value=None, + dh_value=None, + method='least_squares'): + """ + Vectorized and optimized version of global thermal unfolding fitting. + + Parameters + ---------- + list_of_temperatures : list of array-like + Temperature arrays for each dataset + list_of_signals : list of array-like + Signal arrays for each dataset + denaturant_concentrations : list + Denaturant concentrations (one per dataset) + initial_parameters : array-like + Initial guess for parameters + low_bounds : array-like + Lower bounds for parameters + high_bounds : array-like + Upper bounds for parameters + signal_fx : callable + Signal model function + baseline_native_fx : callable + function to calculate the native state baseline + baseline_unfolded_fx : callable + function to calculate the unfolded state baseline + list_of_oligomer_conc : list, optional + Oligomer concentrations per dataset + fit_m1 : bool, optional + Whether to fit temperature dependence of m-value + cp_value, tm_value, dh_value : float or None, optional + Optional fixed thermodynamic parameters + method : str, optional + Optimization method ('least_sq' or 'curve_fit') + + Returns + ------- + global_fit_params : numpy.ndarray + Fitted global parameters + cov : numpy.ndarray + Covariance matrix + predicted_lst : list of numpy.ndarray + Predicted signals per dataset + result : lmfit.minimizer.MinimizerResult + minimizer : lmfit.minimizer.Minimizer + """ + + # ------------------------------------------------------------ + # Precompute dataset structure + # ------------------------------------------------------------ + n_datasets = len(list_of_temperatures) + lengths = np.array([len(T) for T in list_of_temperatures]) + + list_of_temperatures = [temperature_to_kelvin(T) for T in list_of_temperatures] + + T_all = np.concatenate(list_of_temperatures) + y_all = np.concatenate(list_of_signals) + + d_all = np.repeat(denaturant_concentrations, lengths) + + if list_of_oligomer_conc is None: + c_all = np.zeros_like(T_all, dtype=float) + else: + c_all = np.repeat(list_of_oligomer_conc, lengths) + + # ------------------------------------------------------------ + # Baseline parameter requirements + # ------------------------------------------------------------ + use_p2N, use_p3N = baseline_fx_name_to_req_params(baseline_native_fx) + use_p2U, use_p3U = baseline_fx_name_to_req_params(baseline_unfolded_fx) + + # Work on copies so the caller's arrays are not modified in place + initial_parameters = np.array(initial_parameters, dtype=float).copy() + low_bounds = np.array(low_bounds, dtype=float).copy() + high_bounds = np.array(high_bounds, dtype=float).copy() + + # Convert Tm-related values to Kelvin + if tm_value is None: + initial_parameters[0] = temperature_to_kelvin(initial_parameters[0]) + low_bounds[0] = temperature_to_kelvin(low_bounds[0]) + high_bounds[0] = temperature_to_kelvin(high_bounds[0]) + else: + tm_value = temperature_to_kelvin(tm_value) + + # ------------------------------------------------------------ + # Build lmfit Parameters in the same order as the old vector + # ------------------------------------------------------------ + params = lmfit.Parameters() + i = 0 + + def add_param(name, value, pmin, pmax, vary=True): + params.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=vary) + + if tm_value is None: + add_param("Tm", initial_parameters[i], low_bounds[i], high_bounds[i], vary=True) + i += 1 + + if dh_value is None: + add_param("DHm", initial_parameters[i], low_bounds[i], high_bounds[i], vary=True) + i += 1 + + if cp_value is None: + add_param("Cp0", initial_parameters[i], low_bounds[i], high_bounds[i], vary=True) + i += 1 + + add_param("m0", initial_parameters[i], low_bounds[i], high_bounds[i], vary=True) + i += 1 + + if fit_m1: + add_param("m1", initial_parameters[i], low_bounds[i], high_bounds[i], vary=True) + i += 1 + + for j in range(n_datasets): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + for j in range(n_datasets): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + if use_p2N: + for j in range(n_datasets): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + if use_p2U: + for j in range(n_datasets): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + if use_p3N: + for j in range(n_datasets): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + if use_p3U: + for j in range(n_datasets): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j], vary=True) + i += n_datasets + + # ------------------------------------------------------------ + # Vectorized unfolding model + # ------------------------------------------------------------ + def unfolding_model(pars): + if tm_value is None: + Tm = pars["Tm"].value + else: + Tm = tm_value + + if dh_value is None: + DHm = pars["DHm"].value + else: + DHm = dh_value + + if cp_value is None: + Cp0 = pars["Cp0"].value + else: + Cp0 = cp_value + + m0 = pars["m0"].value + + if fit_m1: + m1 = pars["m1"].value + else: + m1 = 0.0 + + p1N = np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]) + p1U = np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]) + + if use_p2N: + p2N = np.array([pars[f"p2N_{j}"].value for j in range(n_datasets)]) + else: + p2N = 0.0 + + if use_p2U: + p2U = np.array([pars[f"p2U_{j}"].value for j in range(n_datasets)]) + else: + p2U = 0.0 + + if use_p3N: + p3N = np.array([pars[f"p3N_{j}"].value for j in range(n_datasets)]) + else: + p3N = 0.0 + + if use_p3U: + p3U = np.array([pars[f"p3U_{j}"].value for j in range(n_datasets)]) + else: + p3U = 0.0 + + p1N_all = np.repeat(p1N, lengths) + p1U_all = np.repeat(p1U, lengths) + + if np.isscalar(p2N): + p2N_all = p2N + else: + p2N_all = np.repeat(p2N, lengths) + + if np.isscalar(p2U): + p2U_all = p2U + else: + p2U_all = np.repeat(p2U, lengths) + + if np.isscalar(p3N): + p3N_all = p3N + else: + p3N_all = np.repeat(p3N, lengths) + + if np.isscalar(p3U): + p3U_all = p3U + else: + p3U_all = np.repeat(p3U, lengths) + + return signal_fx( + T_all, d_all, + DHm, Tm, Cp0, m0, m1, + 0, p1N_all, p2N_all, p3N_all, + 0, p1U_all, p2U_all, p3U_all, + baseline_native_fx, + baseline_unfolded_fx, + c_all + ) + + # ------------------------------------------------------------ + # Residual function for lmfit + # ------------------------------------------------------------ + def residuals(pars): + return unfolding_model(pars) - y_all + + minimizer = lmfit.Minimizer(residuals, params) + result = minimizer.minimize(method=method) + + global_fit_params = list(result.params.valuesdict().values()) + + # ------------------------------------------------------------ + # Covariance matrix + # ------------------------------------------------------------ + if result.covar is not None: + cov = result.covar + else: + J = result.jac + dof = len(y_all) - len(result.var_names) + residual_variance = np.sum(result.residual ** 2) / max(dof, 1) + cov = pinv(J.T @ J) * residual_variance + + # ------------------------------------------------------------ + # Predict & split per dataset + # ------------------------------------------------------------ + predicted_all = unfolding_model(result.params) + + predicted_lst = [] + start = 0 + for n in lengths: + predicted_lst.append(predicted_all[start:start + n]) + start += n + + # Convert Tm back to Celsius for the returned vector + if tm_value is None: + global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) + + return global_fit_params, cov, predicted_lst, result, minimizer + + +def fit_tc_unfolding_shared_slopes_many_signals( + list_of_temperatures, + list_of_signals, + signal_ids, + denaturant_concentrations, + initial_parameters, + low_bounds, + high_bounds, + signal_fx, + baseline_native_fx, + baseline_unfolded_fx, + list_of_oligomer_conc=None, + fit_m1=False, + cp_value=None, + tm_value=None, + dh_value=None, + method='least_squares' +): + """ + Vectorized fitting of thermochemical unfolding curves for multiple signal types + sharing thermodynamic parameters and slopes, using lmfit. + + Parameters + ---------- + list_of_temperatures : list of array-like + Temperature arrays for each dataset + list_of_signals : list of array-like + Signal arrays for each dataset + signal_ids : list of int + Signal-type id for each dataset (0..n_signals-1) + denaturant_concentrations : list + Denaturant concentrations for each dataset (flattened across signals) + initial_parameters : array-like + Initial guess for the parameters + low_bounds : array-like + Lower bounds for the parameters + high_bounds : array-like + Upper bounds for the parameters + signal_fx : callable + Signal model function + baseline_native_fx : callable + function to calculate the baseline for the native state + baseline_unfolded_fx : callable + function to calculate the baseline for the unfolded state + list_of_oligomer_conc : list, optional + Oligomer concentrations per dataset + fit_m1 : bool, optional + Whether to fit temperature dependence of m-value + cp_value, tm_value, dh_value : float or None, optional + Optional fixed thermodynamic parameters + method : str, optional + Optimization method for lmfit minimizer. Defaults to 'least_squares'. + + Returns + ------- + global_fit_params : numpy.ndarray + Fitted global parameters + cov : numpy.ndarray + Covariance matrix + predicted_lst : list of numpy.ndarray + Predicted signals per dataset + result : lmfit.minimizer.MinimizerResult + lmfit minimization result object + minimizer : lmfit.minimizer.Minimizer + lmfit minimizer object + """ + + # Flatten all signals + all_signal = np.concatenate(list_of_signals, axis=0) + n_signals = np.max(signal_ids) + 1 + n_datasets = len(list_of_temperatures) + + list_of_temperatures = [temperature_to_kelvin(T) for T in list_of_temperatures] + + baseline_native_params = baseline_fx_name_to_req_params(baseline_native_fx) + baseline_unfolded_params = baseline_fx_name_to_req_params(baseline_unfolded_fx) + + # Precompute indices for slicing the flattened concatenated arrays + dataset_starts = np.cumsum([0] + [len(T) for T in list_of_temperatures][:-1]) + dataset_ends = np.cumsum([len(T) for T in list_of_temperatures]) + + # Convert the Tm to kelvin + if tm_value is None: + initial_parameters[0] = temperature_to_kelvin(initial_parameters[0]) + low_bounds[0] = temperature_to_kelvin(low_bounds[0]) + high_bounds[0] = temperature_to_kelvin(high_bounds[0]) + else: + tm_value = temperature_to_kelvin(tm_value) + + params = lmfit.Parameters() + param_names = [] + i = 0 + + def add_param(name, value, pmin, pmax): + params.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=True) + param_names.append(name) + + if tm_value is None: + add_param("Tm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if dh_value is None: + add_param("DHm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if cp_value is None: + add_param("Cp0", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + add_param("m0", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if fit_m1: + add_param("m1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + for j in range(n_datasets): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + for j in range(n_datasets): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_datasets + + if baseline_native_params[0]: + for j in range(n_signals): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[0]: + for j in range(n_signals): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[1]: + for j in range(n_signals): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[1]: + for j in range(n_signals): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + def residuals(pars): + if tm_value is None: + Tm = pars["Tm"].value + else: + Tm = tm_value + + if dh_value is None: + DHm = pars["DHm"].value + else: + DHm = dh_value + + if cp_value is None: + Cp0 = pars["Cp0"].value + else: + Cp0 = cp_value + + m0 = pars["m0"].value + m1 = pars["m1"].value if fit_m1 else 0 + + intercepts_folded = np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]) + intercepts_unfolded = np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]) + + # Shared slopes / coefficients per signal type + if baseline_native_params[0]: + p2_n_s = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) + else: + p2_n_s = np.zeros(n_signals) + + if baseline_unfolded_params[0]: + p2_u_s = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) + else: + p2_u_s = np.zeros(n_signals) + + if baseline_native_params[1]: + p3_n_s = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) + else: + p3_n_s = np.zeros(n_signals) + + if baseline_unfolded_params[1]: + p3_u_s = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) + else: + p3_u_s = np.zeros(n_signals) + + # Vectorized evaluation for all datasets + predicted_all = np.zeros_like(all_signal) + for i, T in enumerate(list_of_temperatures): + start, end = dataset_starts[i], dataset_ends[i] + d = denaturant_concentrations[i] + c = 0 if list_of_oligomer_conc is None else list_of_oligomer_conc[i] + sig_id = signal_ids[i] + + predicted_all[start:end] = signal_fx( + T, d, DHm, Tm, Cp0, m0, m1, + 0, intercepts_folded[i], p2_n_s[sig_id], p3_n_s[sig_id], + 0, intercepts_unfolded[i], p2_u_s[sig_id], p3_u_s[sig_id], + baseline_native_fx, + baseline_unfolded_fx, + c + ) + + return predicted_all - all_signal + + minimizer = lmfit.Minimizer(residuals, params) + result = minimizer.minimize(method=method) + + global_fit_params = np.array([result.params[name].value for name in param_names]) + + if result.covar is not None: + cov = result.covar + else: + J = result.jac + dof = len(all_signal) - len(global_fit_params) + residual_variance = np.sum(result.residual**2) / max(dof, 1) + cov = np.linalg.pinv(J.T @ J) * residual_variance + + # Convert predicted signal into list of arrays per dataset + predicted = all_signal + result.residual + predicted_lst = [predicted[start:end] for start, end in zip(dataset_starts, dataset_ends)] + + # Convert the Tm back to Celsius + if tm_value is None: + global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) + + return global_fit_params, cov, predicted_lst, result, minimizer + + +def fit_tc_unfolding_many_signals( + list_of_temperatures, + list_of_signals, + signal_ids, + denaturant_concentrations, + initial_parameters, + low_bounds, high_bounds, + signal_fx, + baseline_native_fx, + baseline_unfolded_fx, + oligomer_concentrations=None, + fit_m1=False, + model_scale_factor=False, + scale_factor_exclude_ids=[], + cp_value=None, + method='least_squares', + fit_native_den_slope=True, + fit_unfolded_den_slope=True): + """ + Fit thermochemical unfolding curves for many signals using lmfit. + + Parameters + ---------- + list_of_temperatures : list of array-like + Temperature arrays for each dataset. + list_of_signals : list of array-like + Signal arrays for each dataset. + signal_ids : list of int + Signal-type id for each dataset (0..n_signals-1) + denaturant_concentrations : list + Denaturant concentrations for each dataset (flattened across signals) + initial_parameters : array-like + Initial guess for the parameters + low_bounds : array-like + Lower bounds for the parameters + high_bounds : array-like + Upper bounds for the parameters + signal_fx : callable + Signal model function + baseline_native_fx : callable + function to calculate the native state baseline + baseline_unfolded_fx : callable + function to calculate the unfolded state baseline + oligomer_concentrations : list, optional + Oligomer concentrations per dataset (used by oligomeric models) + fit_m1 : bool, optional + Whether to include and fit temperature dependence of the m-value (m1) + model_scale_factor : bool, optional + If True, include a per-denaturant concentration scale factor to account for intensity differences + scale_factor_exclude_ids : list, optional + IDs of scale factors to exclude / fix to 1 + cp_value : float or None, optional + If provided, Cp is fixed to this value and not fitted + method : str, optional + Optimization method for lmfit minimizer. Defaults to 'least_squares'. + fit_native_den_slope, fit_unfolded_den_slope : bool, optional + Whether to fit denaturant dependence of baselines. + + Returns + ------- + global_fit_params : numpy.ndarray + Fitted global parameters + cov : numpy.ndarray + Covariance matrix + predicted_lst : list of numpy.ndarray + Predicted signals per dataset + result : lmfit.minimizer.MinimizerResult + lmfit minimization result object + minimizer : lmfit.minimizer.Minimizer + lmfit minimizer object + """ + + all_signal = np.concatenate(list_of_signals, axis=0) + + n_signals = np.max(signal_ids) + 1 + + nr_den = int(len(denaturant_concentrations) / n_signals) + + if len(scale_factor_exclude_ids) > 0 and model_scale_factor: + # Sort them in ascending order to avoid issues when inserting + scale_factor_exclude_ids = sorted(scale_factor_exclude_ids) + + baseline_native_params = [fit_native_den_slope] + baseline_fx_name_to_req_params(baseline_native_fx) + baseline_unfolded_params = [fit_unfolded_den_slope] + baseline_fx_name_to_req_params(baseline_unfolded_fx) + + initial_parameters[0] = temperature_to_kelvin(initial_parameters[0]) + low_bounds[0] = temperature_to_kelvin(low_bounds[0]) + high_bounds[0] = temperature_to_kelvin(high_bounds[0]) + + list_of_temperatures = [temperature_to_kelvin(T) for T in list_of_temperatures] + + params = lmfit.Parameters() + param_names = [] + i = 0 + + def add_param(name, value, pmin, pmax): + params.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=True) + param_names.append(name) + + add_param("Tm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + add_param("DHm", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if cp_value is None: + add_param("Cp0", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + add_param("m0", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + if fit_m1: + add_param("m1", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + for j in range(n_signals): + add_param(f"p2N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + for j in range(n_signals): + add_param(f"p2U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[1]: + for j in range(n_signals): + add_param(f"p3N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[1]: + for j in range(n_signals): + add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[0]: + for j in range(n_signals): + add_param(f"p1N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[0]: + for j in range(n_signals): + add_param(f"p1U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_native_params[2]: + for j in range(n_signals): + add_param(f"p4N_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + if baseline_unfolded_params[2]: + for j in range(n_signals): + add_param(f"p4U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) + i += n_signals + + sf_fit_ids = [] + if model_scale_factor: + sf_fit_ids = [k for k in range(nr_den) if k not in scale_factor_exclude_ids] + for k in sf_fit_ids: + add_param(f"sf_{k}", initial_parameters[i], low_bounds[i], high_bounds[i]) + i += 1 + + def model(pars): + Tm = pars["Tm"].value + DHm = pars["DHm"].value + Cp0 = pars["Cp0"].value if cp_value is None else cp_value + m0 = pars["m0"].value + m1 = pars["m1"].value if fit_m1 else 0 + + p2_Ns = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) + p2_Us = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) + + if baseline_native_params[1]: + p3_Ns = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) + else: + p3_Ns = np.zeros(n_signals) + + if baseline_unfolded_params[1]: + p3_Us = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) + else: + p3_Us = np.zeros(n_signals) + + if baseline_native_params[0]: + p1_Ns = np.array([pars[f"p1N_{j}"].value for j in range(n_signals)]) + else: + p1_Ns = np.zeros(n_signals) + + if baseline_unfolded_params[0]: + p1_Us = np.array([pars[f"p1U_{j}"].value for j in range(n_signals)]) + else: + p1_Us = np.zeros(n_signals) + + if baseline_native_params[2]: + p4_Ns = np.array([pars[f"p4N_{j}"].value for j in range(n_signals)]) + else: + p4_Ns = np.zeros(n_signals) + + if baseline_unfolded_params[2]: + p4_Us = np.array([pars[f"p4U_{j}"].value for j in range(n_signals)]) + else: + p4_Us = np.zeros(n_signals) + + if model_scale_factor: + sf = np.ones(nr_den) + for k in sf_fit_ids: + sf[k] = pars[f"sf_{k}"].value + factors = np.tile(sf, n_signals) + else: + factors = None + + signal = [] + for idx, T in enumerate(list_of_temperatures): + p1_N = p1_Ns[signal_ids[idx]] + p1_U = p1_Us[signal_ids[idx]] + p2_N = p2_Ns[signal_ids[idx]] + p2_U = p2_Us[signal_ids[idx]] + p3_N = p3_Ns[signal_ids[idx]] + p3_U = p3_Us[signal_ids[idx]] + p4_N = p4_Ns[signal_ids[idx]] + p4_U = p4_Us[signal_ids[idx]] + + d = denaturant_concentrations[idx] + c = 0 if oligomer_concentrations is None else oligomer_concentrations[idx] + + y = signal_fx( + T, d, DHm, Tm, Cp0, m0, m1, + p1_N, p2_N, p3_N, p4_N, + p1_U, p2_U, p3_U, p4_U, + baseline_native_fx, + baseline_unfolded_fx, + c + ) + + scale_factor = 1 if factors is None else factors[idx] + signal.append(y * scale_factor) + + return np.concatenate(signal, axis=0) + + def residuals(pars): + return model(pars) - all_signal + + minimizer = lmfit.Minimizer(residuals, params) + result = minimizer.minimize(method=method) + + global_fit_params = np.array([result.params[name].value for name in param_names]) + + if result.covar is not None: + cov = result.covar + else: + J = result.jac + dof = len(all_signal) - len(global_fit_params) + residual_variance = np.sum(result.residual**2) / max(dof, 1) + cov = np.linalg.pinv(J.T @ J) * residual_variance + + predicted = model(result.params) + + # Convert predict to list of lists + predicted_lst = [] + + init = 0 + for T in list_of_temperatures: + n = len(T) + predicted_lst.append(predicted[init:init + n]) + init += n + + # Convert the Tm to Celsius + global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) + + return global_fit_params, cov, predicted_lst, result, minimizer + return global_fit_params, cov, predicted_lst \ No newline at end of file diff --git a/src/pychemelt/main.py b/src/pychemelt/main.py index 66765bd..387c8b8 100644 --- a/src/pychemelt/main.py +++ b/src/pychemelt/main.py @@ -132,6 +132,9 @@ def __init__(self, name='Test'): self.predicted_lst_multiple_scaled = None self.signal_lst_multiple_scaled = None + self.result = None # lmfit MinimizerResult object from fitting + self.minimizer = None # lmfit Minimizer object from fitting + def read_file(self, file): """ diff --git a/src/pychemelt/monomer.py b/src/pychemelt/monomer.py index 61b9d5c..27f3ba1 100644 --- a/src/pychemelt/monomer.py +++ b/src/pychemelt/monomer.py @@ -35,7 +35,8 @@ fit_tc_unfolding_shared_slopes_many_signals, fit_tc_unfolding_many_signals, evaluate_fitting_and_refit, - baseline_fx_name_to_req_params + baseline_fx_name_to_req_params, + compute_asymmetric_confidence_intervals ) class Monomer(Sample): @@ -588,7 +589,7 @@ def fit_thermal_unfolding_global( global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) - global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( + global_fit_params, cov, predicted, p0, low_bounds, high_bounds, result, minimizer = evaluate_fitting_and_refit( global_fit_params, cov, predicted, @@ -602,6 +603,8 @@ def fit_thermal_unfolding_global( self.fixed_cp, kwargs, fit_fx, + result=result, + minimizer=minimizer, ) rel_errors = relative_errors(global_fit_params, cov) @@ -614,6 +617,9 @@ def fit_thermal_unfolding_global( self.predicted_lst_multiple = re_arrange_predictions(predicted, self.nr_signals, self.nr_den) + self.result = result + self.minimizer = minimizer + self.global_fit_done = True self.fit_m_dep = fit_m_dep @@ -787,7 +793,7 @@ def fit_thermal_unfolding_global_global(self): global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) - global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( + global_fit_params, cov, predicted, p0, low_bounds, high_bounds, result, minimizer = evaluate_fitting_and_refit( global_fit_params, cov, predicted, @@ -801,6 +807,8 @@ def fit_thermal_unfolding_global_global(self): self.fixed_cp, kwargs, fit_fx, + result=result, + minimizer=minimizer, ) rel_errors = relative_errors(global_fit_params, cov) @@ -816,6 +824,9 @@ def fit_thermal_unfolding_global_global(self): self.params_names = params_names + self.result = result + self.minimizer = minimizer + self.create_params_df() self.create_dg_df() @@ -1139,6 +1150,9 @@ def fit_thermal_unfolding_global_global_global( self.predicted_lst_multiple = re_arrange_predictions( predicted, self.nr_signals, self.nr_den) + self.result = result + self.minimizer = minimizer + self.create_params_df() self.create_dg_df() diff --git a/src/pychemelt/thermal_oligomer.py b/src/pychemelt/thermal_oligomer.py index bff2731..2a74ea3 100644 --- a/src/pychemelt/thermal_oligomer.py +++ b/src/pychemelt/thermal_oligomer.py @@ -600,7 +600,7 @@ def fit_thermal_unfolding_global( global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) - global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( + global_fit_params, cov, predicted, p0, low_bounds, high_bounds, result, minimizer = evaluate_fitting_and_refit( global_fit_params, cov, predicted, @@ -614,6 +614,8 @@ def fit_thermal_unfolding_global( self.fixed_cp, kwargs, fit_fx, + result=result, + minimizer=minimizer, fit_m_value=False, ) @@ -627,6 +629,9 @@ def fit_thermal_unfolding_global( self.predicted_lst_multiple = re_arrange_predictions(predicted, self.nr_signals, self.nr_olig) + self.result = result + self.minimizer = minimizer + self.global_fit_done = True self.params_names = params_names @@ -904,17 +909,12 @@ def fit_thermal_unfolding_three_state_global( kwargs['list_of_temperatures'] = self.temp_lst_expanded_subset kwargs['list_of_signals'] = self.signal_lst_expanded_subset - for index, row in df.iterrows(): kwargs['t1'] = row['t1'] kwargs['t2'] = row['t2'] - try: - fit_params, cov, pred, result, minimizer = fit_oligomer_unfolding_three_states_single_slopes(**kwargs) - except Exception as e: - print(f"Warning: {e}") - continue - + fit_params, cov, pred, result, minimizer = fit_oligomer_unfolding_three_states_single_slopes(**kwargs) + #using the fitted parameters as a base for fitting df_tm.iloc[index, 0] = fit_params[0] df_tm.iloc[index, 1] = fit_params[2] @@ -922,7 +922,6 @@ def fit_thermal_unfolding_three_state_global( df_dh.iloc[index, 0] = fit_params[1] df_dh.iloc[index, 1] = fit_params[3] - rss = np.nansum((np.array(pred) - np.array(self.signal_lst_expanded_subset)) ** 2) rss_all.append(rss) @@ -950,7 +949,7 @@ def fit_thermal_unfolding_three_state_global( global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) - global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( + global_fit_params, cov, predicted, p0, low_bounds, high_bounds, result, minimizer = evaluate_fitting_and_refit( global_fit_params, cov, predicted, @@ -964,6 +963,8 @@ def fit_thermal_unfolding_three_state_global( self.fixed_cp, kwargs, fit_fx, + result=result, + minimizer=minimizer, fit_m_value=False, three_state_model=True, ) @@ -978,6 +979,9 @@ def fit_thermal_unfolding_three_state_global( self.predicted_lst_multiple = re_arrange_predictions(predicted, self.nr_signals, self.nr_olig) + self.result = result + self.minimizer = minimizer + self.global_fit_done = True self.params_names = params_names @@ -1150,7 +1154,7 @@ def fit_thermal_unfolding_global_global(self): global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) - global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( + global_fit_params, cov, predicted, p0, low_bounds, high_bounds, result, minimizer = evaluate_fitting_and_refit( global_fit_params, cov, predicted, @@ -1164,6 +1168,8 @@ def fit_thermal_unfolding_global_global(self): self.fixed_cp, kwargs, fit_fx, + result=result, + minimizer=minimizer, fit_m_value=False, ) @@ -1180,6 +1186,9 @@ def fit_thermal_unfolding_global_global(self): self.params_names = params_names + self.result = result + self.minimizer = minimizer + self.create_params_df() self.create_dg_df() @@ -1357,7 +1366,7 @@ def fit_thermal_unfolding_three_state_global_global(self): global_fit_params, cov, predicted, result, minimizer = fit_fx(**kwargs) - global_fit_params, cov, predicted, p0, low_bounds, high_bounds = evaluate_fitting_and_refit( + global_fit_params, cov, predicted, p0, low_bounds, high_bounds, result, minimizer = evaluate_fitting_and_refit( global_fit_params, cov, predicted, @@ -1371,6 +1380,8 @@ def fit_thermal_unfolding_three_state_global_global(self): self.fixed_cp, kwargs, fit_fx, + result=result, + minimizer=minimizer, fit_m_value=False, three_state_model=True, ) diff --git a/src/pychemelt/utils/fitting.py b/src/pychemelt/utils/fitting.py index 1378088..8c0df40 100644 --- a/src/pychemelt/utils/fitting.py +++ b/src/pychemelt/utils/fitting.py @@ -6,7 +6,7 @@ import numpy as np from scipy.optimize import curve_fit from scipy.optimize import least_squares -from numpy.linalg import pinv +from lmfit import conf_interval from .math import get_rss, temperature_to_kelvin, temperature_to_celsius @@ -24,6 +24,7 @@ "fit_oligomer_unfolding_many_signals", "fit_oligomer_unfolding_three_states_single_slopes", "fit_oligomer_unfolding_three_states_shared_slopes_many_signals", + "compute_asymmetric_confidence_intervals" #"fit_oligomer_unfolding_three_states_many_signals", ] @@ -421,7 +422,6 @@ def fit_tc_unfolding_single_slopes( signal_fx, baseline_native_fx, baseline_unfolded_fx, - list_of_oligomer_conc=None, fit_m1=False, cp_value=None, tm_value=None, @@ -450,8 +450,6 @@ def fit_tc_unfolding_single_slopes( function to calculate the native state baseline baseline_unfolded_fx : callable function to calculate the unfolded state baseline - list_of_oligomer_conc : list, optional - Oligomer concentrations per dataset fit_m1 : bool, optional Whether to fit temperature dependence of m-value cp_value, tm_value, dh_value : float or None, optional @@ -482,10 +480,7 @@ def fit_tc_unfolding_single_slopes( d_all = np.repeat(denaturant_concentrations, lengths) - if list_of_oligomer_conc is None: - c_all = np.zeros_like(T_all, dtype=float) - else: - c_all = np.repeat(list_of_oligomer_conc, lengths) + c_all = np.zeros_like(T_all, dtype=float) # ------------------------------------------------------------ # Baseline parameter requirements @@ -652,7 +647,7 @@ def unfolding_model(pars): def residuals(pars): return unfolding_model(pars) - y_all - minimizer = lmfit.Minimizer(residuals, params) + minimizer = lmfit.Minimizer(residuals, params, calc_covar=True) result = minimizer.minimize(method=method) global_fit_params = list(result.params.valuesdict().values()) @@ -660,14 +655,7 @@ def residuals(pars): # ------------------------------------------------------------ # Covariance matrix # ------------------------------------------------------------ - if result.covar is not None: - cov = result.covar - else: - # Fallback if lmfit could not estimate covariance - J = result.jac - dof = len(y_all) - len(result.var_names) - residual_variance = np.sum(result.residual ** 2) / max(dof, 1) - cov = pinv(J.T @ J) * residual_variance + cov = result.covar # ------------------------------------------------------------ # Predict & split per dataset @@ -896,25 +884,12 @@ def model(pars): def residuals(pars): return model(pars) - y_all - if method == "least_sq": - lmfit_method = "least_squares" - elif method == "curve_fit": - lmfit_method = "least_squares" - else: - lmfit_method = method - - minimizer = lmfit.Minimizer(residuals, params_lmfit) - result = minimizer.minimize(method=lmfit_method) + minimizer = lmfit.Minimizer(residuals, params_lmfit, calc_covar=True) + result = minimizer.minimize(method=method) global_fit_params = np.array([result.params[name].value for name in param_names]) - if result.covar is not None: - cov = result.covar - else: - J = result.jac - dof = len(y_all) - len(global_fit_params) - residual_variance = np.sum(result.residual**2) / max(dof, 1) - cov = pinv(J.T @ J) * residual_variance + cov = result.covar predicted_all = model(result.params) @@ -1170,25 +1145,19 @@ def model(pars): def residuals(pars): return model(pars) - y_all - if method == "least_sq": - lmfit_method = "least_squares" - elif method == "curve_fit": - lmfit_method = "least_squares" - else: - lmfit_method = method - - minimizer = lmfit.Minimizer(residuals, params_lmfit) - result = minimizer.minimize(method=lmfit_method) + minimizer = lmfit.Minimizer(residuals, params_lmfit, calc_covar=True) + result = minimizer.minimize(method=method) global_fit_params = np.array([result.params[name].value for name in param_names]) - if result.covar is not None: - cov = result.covar - else: - J = result.jac - dof = len(y_all) - len(global_fit_params) - residual_variance = np.sum(result.residual**2) / max(dof, 1) - cov = pinv(J.T @ J) * residual_variance + cov = result.covar + + """ + J = result.jac + dof = len(y_all) - len(global_fit_params) + residual_variance = np.sum(result.residual**2) / max(dof, 1) + cov = pinv(J.T @ J) * residual_variance + """ predicted_all = model(result.params) @@ -1217,7 +1186,6 @@ def fit_tc_unfolding_shared_slopes_many_signals( signal_fx, baseline_native_fx, baseline_unfolded_fx, - list_of_oligomer_conc=None, fit_m1=False, cp_value=None, tm_value=None, @@ -1250,8 +1218,6 @@ def fit_tc_unfolding_shared_slopes_many_signals( function to calculate the baseline for the native state baseline_unfolded_fx : callable function to calculate the baseline for the unfolded state - list_of_oligomer_conc : list, optional - Oligomer concentrations per dataset fit_m1 : bool, optional Whether to fit temperature dependence of m-value cp_value, tm_value, dh_value : float or None, optional @@ -1398,7 +1364,7 @@ def residuals(pars): for i, T in enumerate(list_of_temperatures): start, end = dataset_starts[i], dataset_ends[i] d = denaturant_concentrations[i] - c = 0 if list_of_oligomer_conc is None else list_of_oligomer_conc[i] + c = 0 sig_id = signal_ids[i] predicted_all[start:end] = signal_fx( @@ -1412,18 +1378,12 @@ def residuals(pars): return predicted_all - all_signal - minimizer = lmfit.Minimizer(residuals, params) + minimizer = lmfit.Minimizer(residuals, params, calc_covar=True) result = minimizer.minimize(method=method) global_fit_params = np.array([result.params[name].value for name in param_names]) - if result.covar is not None: - cov = result.covar - else: - J = result.jac - dof = len(all_signal) - len(global_fit_params) - residual_variance = np.sum(result.residual**2) / max(dof, 1) - cov = np.linalg.pinv(J.T @ J) * residual_variance + cov = result.covar # Convert predicted signal into list of arrays per dataset predicted = all_signal + result.residual @@ -1623,25 +1583,12 @@ def residuals(pars): return predicted_all - all_signal - if method == "least_sq": - lmfit_method = "least_squares" - elif method == "curve_fit": - lmfit_method = "least_squares" - else: - lmfit_method = method - - minimizer = lmfit.Minimizer(residuals, params_lmfit) - result = minimizer.minimize(method=lmfit_method) + minimizer = lmfit.Minimizer(residuals, params_lmfit, calc_covar=True) + result = minimizer.minimize(method=method) global_fit_params = np.array([result.params[name].value for name in param_names]) - if result.covar is not None: - cov = result.covar - else: - J = result.jac - dof = len(all_signal) - len(global_fit_params) - residual_variance = np.sum(result.residual**2) / max(dof, 1) - cov = np.linalg.pinv(J.T @ J) * residual_variance + cov = result.covar # Convert predicted signal into list of arrays per dataset predicted = all_signal + result.residual @@ -1897,25 +1844,12 @@ def residuals(pars): return predicted_all - all_signal - if method == "least_sq": - lmfit_method = "least_squares" - elif method == "curve_fit": - lmfit_method = "least_squares" - else: - lmfit_method = method - - minimizer = lmfit.Minimizer(residuals, params_lmfit) - result = minimizer.minimize(method=lmfit_method) + minimizer = lmfit.Minimizer(residuals, params_lmfit, calc_covar=True) + result = minimizer.minimize(method=method) global_fit_params = np.array([result.params[name].value for name in param_names]) - if result.covar is not None: - cov = result.covar - else: - J = result.jac - dof = len(all_signal) - len(global_fit_params) - residual_variance = np.sum(result.residual**2) / max(dof, 1) - cov = np.linalg.pinv(J.T @ J) * residual_variance + cov = result.covar # Convert predicted signal into list of arrays per dataset predicted = all_signal + result.residual @@ -1937,7 +1871,6 @@ def fit_tc_unfolding_many_signals( signal_fx, baseline_native_fx, baseline_unfolded_fx, - oligomer_concentrations=None, fit_m1=False, model_scale_factor=False, scale_factor_exclude_ids=[], @@ -1970,8 +1903,6 @@ def fit_tc_unfolding_many_signals( function to calculate the native state baseline baseline_unfolded_fx : callable function to calculate the unfolded state baseline - oligomer_concentrations : list, optional - Oligomer concentrations per dataset (used by oligomeric models) fit_m1 : bool, optional Whether to include and fit temperature dependence of the m-value (m1) model_scale_factor : bool, optional @@ -2147,7 +2078,7 @@ def model(pars): p4_U = p4_Us[signal_ids[idx]] d = denaturant_concentrations[idx] - c = 0 if oligomer_concentrations is None else oligomer_concentrations[idx] + c = 0 y = signal_fx( T, d, DHm, Tm, Cp0, m0, m1, @@ -2166,18 +2097,12 @@ def model(pars): def residuals(pars): return model(pars) - all_signal - minimizer = lmfit.Minimizer(residuals, params) + minimizer = lmfit.Minimizer(residuals, params, calc_covar=True) result = minimizer.minimize(method=method) global_fit_params = np.array([result.params[name].value for name in param_names]) - if result.covar is not None: - cov = result.covar - else: - J = result.jac - dof = len(all_signal) - len(global_fit_params) - residual_variance = np.sum(result.residual**2) / max(dof, 1) - cov = np.linalg.pinv(J.T @ J) * residual_variance + cov = result.covar predicted = model(result.params) @@ -2414,25 +2339,13 @@ def model(pars): def residuals(pars): return model(pars) - all_signal - if method == "least_sq": - lmfit_method = "least_squares" - elif method == "curve_fit": - lmfit_method = "least_squares" - else: - lmfit_method = method - minimizer = lmfit.Minimizer(residuals, params_lmfit) - result = minimizer.minimize(method=lmfit_method) + minimizer = lmfit.Minimizer(residuals, params_lmfit, calc_covar=True) + result = minimizer.minimize(method=method) global_fit_params = np.array([result.params[name].value for name in param_names]) - if result.covar is not None: - cov = result.covar - else: - J = result.jac - dof = len(all_signal) - len(global_fit_params) - residual_variance = np.sum(result.residual**2) / max(dof, 1) - cov = pinv(J.T @ J) * residual_variance + cov = result.covar predicted = model(result.params) @@ -2698,25 +2611,13 @@ def model(pars): def residuals(pars): return model(pars) - all_signal - if method == "least_sq": - lmfit_method = "least_squares" - elif method == "curve_fit": - lmfit_method = "least_squares" - else: - lmfit_method = method - minimizer = lmfit.Minimizer(residuals, params_lmfit) - result = minimizer.minimize(method=lmfit_method) + minimizer = lmfit.Minimizer(residuals, params_lmfit, calc_covar=True) + result = minimizer.minimize(method=method) global_fit_params = np.array([result.params[name].value for name in param_names]) - if result.covar is not None: - cov = result.covar - else: - J = result.jac - dof = len(all_signal) - len(global_fit_params) - residual_variance = np.sum(result.residual**2) / max(dof, 1) - cov = pinv(J.T @ J) * residual_variance + cov = result.covar predicted = model(result.params) @@ -3068,6 +2969,8 @@ def evaluate_fitting_and_refit( fixed_cp, kwargs, fit_fx, + result=None, + minimizer=None, n = 3, threshold=0.05, fit_m_value=True, @@ -3105,6 +3008,10 @@ def evaluate_fitting_and_refit( dictionary with the arguments for the fitting function fit_fx: callable function to perform the fitting + result: lmfit.MinimizerResult, optional + lmfit result object from fitting + minimizer: lmfit.Minimizer, optional + lmfit minimizer object from fitting n: int, optional number of times to re-fit threshold : float, optional @@ -3128,6 +3035,10 @@ def evaluate_fitting_and_refit( lower bounds of the fitting parameters high_bounds: array-like higher bounds of the fitting parameters + result: lmfit.MinimizerResult + lmfit result object from fitting + minimizer: lmfit.Minimizer + lmfit minimizer object from fitting """ for _ in range(n): @@ -3172,4 +3083,52 @@ def evaluate_fitting_and_refit( break - return global_fit_params, cov, predicted, p0, low_bounds, high_bounds \ No newline at end of file + return global_fit_params, cov, predicted, p0, low_bounds, high_bounds, result, minimizer + + +def compute_asymmetric_confidence_intervals(minimizer, result, param_names=['Tm'], sigmas=[2]): + """ + Compute asymmetric confidence intervals for fitted parameters using lmfit. + + Parameters + ---------- + minimizer : lmfit.Minimizer + The Minimizer instance used for fitting. + result : lmfit.MinimizerResult + The result object from the fitting process. + param_names : list of str, optional + List of parameter names to compute CI for. If None, uses all parameters. + sigmas : float or list of float, optional + Sigma level(s) for confidence intervals. Default is 2 (95.4%). + Common values: 1 (68.3%), 2 (95.4%), 3 (99.7%) + + Returns + ------- + dict + Dictionary with parameter names as keys and lists of (sigma, lower, best, upper) tuples. + Example: { + 'Tm': [(1.0, lower_val, best_val, upper_val), ...], + 'DHm': [(1.0, lower_val, best_val, upper_val), ...] + } + + Notes + ----- + The confidence intervals are computed using the chi-square method and account for + parameter correlation through the Jacobian and covariance matrix. + """ + + if isinstance(sigmas, (int, float)): + sigmas = [sigmas] + + # Compute confidence intervals + ci = conf_interval(minimizer, result, p_names=param_names, sigmas=sigmas) + + # Reformat results into a more intuitive structure + ci_results = {} + for param in param_names: + if param in ci: + ci_results[param] = [] + for sigma_val, value in ci[param]: + ci_results[param].append((sigma_val, value)) + + return ci_results \ No newline at end of file diff --git a/src/pychemelt/utils/math.py b/src/pychemelt/utils/math.py index 0fa2c31..d45876a 100644 --- a/src/pychemelt/utils/math.py +++ b/src/pychemelt/utils/math.py @@ -279,7 +279,11 @@ def relative_errors(params,cov): Relative errors of the fitted parameters (in percent) """ - error = np.sqrt(np.diag(cov)) + # Return np.nas if cov is None + if cov is None: + return np.full_like(params, np.nan) + + error = np.sqrt(np.diag(cov)) rel_error = np.abs(error / params) * 100 return rel_error diff --git a/tests/test_fitting.py b/tests/test_fitting.py index 61c0855..727ac2f 100644 --- a/tests/test_fitting.py +++ b/tests/test_fitting.py @@ -12,7 +12,8 @@ fit_thermal_unfolding, fit_tc_unfolding_single_slopes, fit_tc_unfolding_shared_slopes_many_signals, - fit_tc_unfolding_many_signals + fit_tc_unfolding_many_signals, + compute_asymmetric_confidence_intervals ) from pychemelt.utils.signals import ( @@ -332,6 +333,56 @@ def test_fit_tc_unfolding_single_slopes(): np.testing.assert_allclose(global_fit_params[:3], expected, rtol=0.1, atol=0) +def test_fit_tc_unfolding_single_slopes_ci_contains_true_params(): + + # Tm, Dh, Cp, m0 + initial_parameters = [Tm_VAL, DHm_VAL, CP0_VAL, M0_VAL] + [1] * (len(concs) * 6) + low_bounds = [TEMP_START, TEMP_START, 0, 0] + [-np.inf] * (len(concs) * 6) + high_bounds = [TEMP_STOP, 200, 5, 5] + [np.inf] * (len(concs) * 6) + + kwargs = { + 'list_of_temperatures': temp_list, + 'list_of_signals': signal_list, + 'denaturant_concentrations': concs, + 'signal_fx': signal_two_state_tc_unfolding, + 'baseline_native_fx': quadratic_baseline, + 'baseline_unfolded_fx': quadratic_baseline + } + + global_fit_params, cov, predicted_lst, result, minimizer = fit_tc_unfolding_single_slopes( + initial_parameters=initial_parameters, + low_bounds=low_bounds, + high_bounds=high_bounds, + **kwargs + ) + + ci = compute_asymmetric_confidence_intervals( + minimizer, + result, + param_names=['Tm', 'DHm', 'Cp0', 'm0'], + sigmas=2 + ) + + true_by_name = { + # lmfit parameters are in Kelvin for Tm, while simulation constant is in Celsius. + 'Tm': Tm_VAL + 273.15, + 'DHm': DHm_VAL, + 'Cp0': CP0_VAL, + 'm0': M0_VAL, + } + + for par_name, true_value in true_by_name.items(): + assert par_name in ci + assert len(ci[par_name]) >= 3 + + lower = ci[par_name][0][1] + upper = ci[par_name][2][1] + + assert np.isfinite(lower) + assert np.isfinite(upper) + assert lower <= true_value <= upper + + def test_fit_tc_unfolding_shared_slopes_many_signals(): diff --git a/tests/test_fitting_therm_oligo_2.py b/tests/test_fitting_therm_oligo_2.py index 8f0e806..960acfe 100644 --- a/tests/test_fitting_therm_oligo_2.py +++ b/tests/test_fitting_therm_oligo_2.py @@ -253,6 +253,44 @@ def test_fit_monomer_unfolding_shared_slopes_many_signals_exponential(): np.testing.assert_allclose(global_fit_params[:3], expected, rtol=0.1, atol=0) + # Now fix DH and fit the other data + p0_without_DH = p0.copy() + p0_without_DH.pop(1) + low_bounds_without_DH = low_bounds.copy() + low_bounds_without_DH.pop(1) + high_bounds_without_DH = high_bounds.copy() + high_bounds_without_DH.pop(1) + + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( + initial_parameters=p0_without_DH, + low_bounds=low_bounds_without_DH, + high_bounds=high_bounds_without_DH, + dh_value=DHm_VAL, + **kwargs + ) + expected = [Tm_VAL, CP0_VAL] + + np.testing.assert_allclose(global_fit_params[:2], expected, rtol=0.1, atol=0) + + # Now test with fixed Cp + p0_without_Cp = p0.copy() + p0_without_Cp.pop(2) + low_bounds_without_Cp = low_bounds.copy() + low_bounds_without_Cp.pop(2) + high_bounds_without_Cp = high_bounds.copy() + high_bounds_without_Cp.pop(2) + + global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_shared_slopes_many_signals( + initial_parameters=p0_without_Cp, + low_bounds=low_bounds_without_Cp, + high_bounds=high_bounds_without_Cp, + cp_value=CP0_VAL, + **kwargs + ) + expected = [Tm_VAL, DHm_VAL] + np.testing.assert_allclose(global_fit_params[:2], expected, rtol=0.1, atol=0) + + def test_fit_dimer_unfolding_shared_slopes_many_signals_exponential(): signal_fx = map_two_state_model_to_signal_fx("Dimer") diff --git a/tests/test_main_3.py b/tests/test_main_3.py index e2858a4..23acabe 100644 --- a/tests/test_main_3.py +++ b/tests/test_main_3.py @@ -105,7 +105,7 @@ def test_guess_Cp(): assert 1.4 <= pychem_sim.Cp0 <= 2.2 # 0.3 units tolerance from 1.8 -def test_fit_thermal_unfolding_global(): +def test_fit_thermal_unfolding_global_err(): pychem_sim.max_points = 200 @@ -113,6 +113,8 @@ def test_fit_thermal_unfolding_global(): pychem_sim.Cp0 = 0 # Force error pychem_sim.fit_thermal_unfolding_global() +def test_fit_thermal_unfolding_global(): + pychem_sim.Cp0 = 1.8 pychem_sim.fit_thermal_unfolding_global() diff --git a/tests/test_main_therm_oligo_three_state_2.py b/tests/test_main_therm_oligo_three_state_2.py index 13e4d34..282dcac 100644 --- a/tests/test_main_therm_oligo_three_state_2.py +++ b/tests/test_main_therm_oligo_three_state_2.py @@ -295,7 +295,6 @@ def test_fit_thermal_unfolding_three_state_global_trimer_exponential_baseline_tr def test_fit_thermal_unfolding_three_state_global_global_trimer_exponential_baseline_trimeric(): expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2] - trimer_sim_trimeric .fit_thermal_unfolding_three_state_global_global() np.testing.assert_allclose(trimer_sim_trimeric .params_df.iloc[:4, 1], expected, diff --git a/tests/test_processing.py b/tests/test_processing.py index 28c5f43..5baab70 100644 --- a/tests/test_processing.py +++ b/tests/test_processing.py @@ -92,7 +92,7 @@ def test_is_float(): assert is_float('not_a_number') == False -def transform_to_list(): +def test_transform_to_list(): assert transform_to_list("hola") == ["hola"] diff --git a/uv.lock b/uv.lock index e611fbb..b054231 100644 --- a/uv.lock +++ b/uv.lock @@ -1455,6 +1455,19 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/f9/33/bd5b9137445ea4b680023eb0469b2bb969d61303dedb2aac6560ff3d14a1/notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef", size = 13307, upload-time = "2024-02-14T23:35:16.286Z" }, ] +[[package]] +name = "numdifftools" +version = "0.9.42" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy" }, + { name = "scipy" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/17/94/7c83677dddc78f93230f4c8a6a5faa06c92699a76eb019386a3aed8a9762/numdifftools-0.9.42.tar.gz", hash = "sha256:866675171f293c4bf2f1e1c5bf9b88a07d5396903e3b3e7fcc3879e2a01cfbc1", size = 79612, upload-time = "2025-12-11T12:06:10.54Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/60/60/c7504633e9fe53dc823db5d83dc15651c595cf35d668781832b4d2748272/numdifftools-0.9.42-py3-none-any.whl", hash = "sha256:22f926b8de24aa44f740bc26744a74555c1c80413068b1dee2edb3c3d10566f6", size = 94252, upload-time = "2025-12-11T12:06:09.322Z" }, +] + [[package]] name = "numpy" version = "2.3.5" @@ -1809,6 +1822,7 @@ source = { editable = "." } dependencies = [ { name = "lmfit" }, { name = "matplotlib" }, + { name = "numdifftools" }, { name = "numpy" }, { name = "openpyxl" }, { name = "pandas" }, @@ -1857,6 +1871,7 @@ requires-dist = [ { name = "lmfit", specifier = ">=1.3.4" }, { name = "matplotlib", specifier = ">=3.10.7" }, { name = "notebook", marker = "extra == 'dev'", specifier = ">=6.0.0" }, + { name = "numdifftools", specifier = ">=0.9.42" }, { name = "numpy", specifier = ">=2.3.5" }, { name = "numpydoc", marker = "extra == 'dev'", specifier = ">=1.6.0" }, { name = "numpydoc", marker = "extra == 'docs'", specifier = ">=1.6.0" }, From 5de31935a9e444d05c16c052f832458a94f764e2 Mon Sep 17 00:00:00 2001 From: osvalb Date: Tue, 12 May 2026 22:49:39 +0200 Subject: [PATCH 3/7] refactor code --- src/pychemelt/utils/fitting.py | 81 +++++++++++++--------------------- 1 file changed, 30 insertions(+), 51 deletions(-) diff --git a/src/pychemelt/utils/fitting.py b/src/pychemelt/utils/fitting.py index 8c0df40..48e72a4 100644 --- a/src/pychemelt/utils/fitting.py +++ b/src/pychemelt/utils/fitting.py @@ -660,13 +660,11 @@ def residuals(pars): # ------------------------------------------------------------ # Predict & split per dataset # ------------------------------------------------------------ - predicted_all = unfolding_model(result.params) - - predicted_lst = [] - start = 0 - for n in lengths: - predicted_lst.append(predicted_all[start:start + n]) - start += n + # Convert predicted signal into list of arrays per dataset + dataset_starts = np.cumsum([0] + lengths[:-1].tolist()) + dataset_ends = np.cumsum(lengths) + predicted = y_all + result.residual + predicted_lst = [predicted[start:end] for start, end in zip(dataset_starts, dataset_ends)] # Convert Tm back to Celsius for the returned vector if tm_value is None: @@ -891,13 +889,11 @@ def residuals(pars): cov = result.covar - predicted_all = model(result.params) - - predicted_lst = [] - start = 0 - for n in lengths: - predicted_lst.append(predicted_all[start:start + n]) - start += n + # Convert predicted signal into list of arrays per dataset + dataset_starts = np.cumsum([0] + lengths[:-1].tolist()) + dataset_ends = np.cumsum(lengths) + predicted = y_all + result.residual + predicted_lst = [predicted[start:end] for start, end in zip(dataset_starts, dataset_ends)] # Convert the Tm back to Celsius if tm_value is None: @@ -1159,13 +1155,11 @@ def residuals(pars): cov = pinv(J.T @ J) * residual_variance """ - predicted_all = model(result.params) - - predicted_lst = [] - start = 0 - for n in lengths: - predicted_lst.append(predicted_all[start:start + n]) - start += n + # Convert predicted signal into list of arrays per dataset + dataset_starts = np.cumsum([0] + lengths[:-1].tolist()) + dataset_ends = np.cumsum(lengths) + predicted = y_all + result.residual + predicted_lst = [predicted[start:end] for start, end in zip(dataset_starts, dataset_ends)] # Convert the Tm back to Celsius @@ -2104,16 +2098,11 @@ def residuals(pars): cov = result.covar - predicted = model(result.params) - - # Convert predict to list of lists - predicted_lst = [] - - init = 0 - for T in list_of_temperatures: - n = len(T) - predicted_lst.append(predicted[init:init + n]) - init += n + # Convert predicted signal into list of arrays per dataset + dataset_starts = np.cumsum([0] + [len(T) for T in list_of_temperatures][:-1]) + dataset_ends = np.cumsum([len(T) for T in list_of_temperatures]) + predicted = all_signal + result.residual + predicted_lst = [predicted[start:end] for start, end in zip(dataset_starts, dataset_ends)] # Convert the Tm to Celsius global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) @@ -2347,16 +2336,11 @@ def residuals(pars): cov = result.covar - predicted = model(result.params) - - # Convert predict to list of lists - predicted_lst = [] - - init = 0 - for T in list_of_temperatures: - n = len(T) - predicted_lst.append(predicted[init:init + n]) - init += n + # Convert predicted signal into list of arrays per dataset + dataset_starts = np.cumsum([0] + [len(T) for T in list_of_temperatures][:-1]) + dataset_ends = np.cumsum([len(T) for T in list_of_temperatures]) + predicted = all_signal + result.residual + predicted_lst = [predicted[start:end] for start, end in zip(dataset_starts, dataset_ends)] # Convert the Tm to Celsius global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) @@ -2619,16 +2603,11 @@ def residuals(pars): cov = result.covar - predicted = model(result.params) - - # Convert predict to list of lists - predicted_lst = [] - - init = 0 - for T in list_of_temperatures: - n = len(T) - predicted_lst.append(predicted[init:init + n]) - init += n + # Convert predicted signal into list of arrays per dataset + dataset_starts = np.cumsum([0] + [len(T) for T in list_of_temperatures][:-1]) + dataset_ends = np.cumsum([len(T) for T in list_of_temperatures]) + predicted = all_signal + result.residual + predicted_lst = [predicted[start:end] for start, end in zip(dataset_starts, dataset_ends)] # Convert the Tm to Celsius global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) From a8a5c6b2af03a90755d4272339ca16f0247facdc Mon Sep 17 00:00:00 2001 From: osvalb Date: Wed, 13 May 2026 18:02:11 +0200 Subject: [PATCH 4/7] edit tests --- src/pychemelt/thermal_oligomer.py | 19 +- src/pychemelt/utils/fitting.py | 233 ++++++++----------- tests/test_main_3.py | 7 +- tests/test_main_therm_oligo_three_state.py | 4 +- tests/test_main_therm_oligo_three_state_3.py | 66 ++---- 5 files changed, 137 insertions(+), 192 deletions(-) diff --git a/src/pychemelt/thermal_oligomer.py b/src/pychemelt/thermal_oligomer.py index 2a74ea3..6462f94 100644 --- a/src/pychemelt/thermal_oligomer.py +++ b/src/pychemelt/thermal_oligomer.py @@ -647,7 +647,7 @@ def fit_thermal_unfolding_three_state_global( t2_init=0, dh_limits=None, tm_limits=None, - CpTh=None,): + CpTh=None): """ Fit the thermal unfolding of the sample using the signal and temperature data on a three state model @@ -838,7 +838,7 @@ def fit_thermal_unfolding_three_state_global( else: - cp_lower, cp_upper = 0.1, CpTh + cp_lower, cp_upper = 0.1, CpTh - 0.3 low_bounds[4] = cp_lower high_bounds[4] = cp_upper @@ -852,11 +852,13 @@ def fit_thermal_unfolding_three_state_global( signal_fx = map_three_state_model_to_signal_fx(self.model) + has_nmeric_intermediate = not "monomeric_intermediate" in self.model.lower() + if t1_init != 0: - p0[0], low_bounds[0], high_bounds[0] = t1_init, np.max([t1_init - 20, 0]), t1_init + 20 + p0[0], low_bounds[0], high_bounds[0] = t1_init, np.max([t1_init - 15, 0]), t1_init + 20 if t2_init != 0: - p0[2], low_bounds[2], high_bounds[2] = t2_init, np.max([t2_init - 20, 0]), t2_init + 20 + p0[2], low_bounds[2], high_bounds[2] = t2_init, np.max([t2_init - 15, 0]), t2_init + 20 kwargs = { 'oligomer_concentrations': self.oligomer_concentrations_expanded, @@ -874,7 +876,6 @@ def fit_thermal_unfolding_three_state_global( step = 6 num_rows = len(self.oligomer_concentrations) - if num_rows > 3: step += 2 if num_rows > 4: @@ -887,7 +888,7 @@ def fit_thermal_unfolding_three_state_global( test_T2s = np.arange(np.max([tm2_lower, 20]) + step, tm2_upper, step) else: - test_T1s = np.arange(np.max([self.global_min_temp + 10, 20]), self.global_max_temp - 25, step) + test_T1s = np.arange(np.max([self.global_min_temp + 10, 20]), self.global_max_temp - 20*has_nmeric_intermediate, step) test_T2s = np.arange(np.max([self.global_min_temp + 10, 20]) + step, self.global_max_temp + 5, step) if t1_init != 0: @@ -933,8 +934,8 @@ def fit_thermal_unfolding_three_state_global( dh1_init, dh2_init = df_dh['dh1'][idx], df_dh['dh2'][idx] p0[1], p0[3] = dh1_init, dh2_init - low_bounds[0], low_bounds[2] = t1_init - 30, t2_init - 30 - high_bounds[0], high_bounds[2] = t1_init + 30, t2_init + 30 + low_bounds[0], low_bounds[2] = t1_init - 15, t2_init - 15 + high_bounds[0], high_bounds[2] = t1_init + 18, t2_init + 18 kwargs['initial_parameters'] = p0 kwargs['low_bounds'] = low_bounds @@ -1383,7 +1384,7 @@ def fit_thermal_unfolding_three_state_global_global(self): result=result, minimizer=minimizer, fit_m_value=False, - three_state_model=True, + three_state_model=True ) rel_errors = relative_errors(global_fit_params, cov) diff --git a/src/pychemelt/utils/fitting.py b/src/pychemelt/utils/fitting.py index 48e72a4..3d9a879 100644 --- a/src/pychemelt/utils/fitting.py +++ b/src/pychemelt/utils/fitting.py @@ -902,51 +902,24 @@ def residuals(pars): return global_fit_params, cov, predicted_lst, result, minimizer def fit_oligomer_unfolding_three_states_single_slopes( - list_of_temperatures, - list_of_signals, - oligomer_concentrations, - initial_parameters, - low_bounds, - high_bounds, - signal_fx, - baseline_native_fx, - baseline_unfolded_fx, - t1=None, - t2=None, - dh1=None, - dh2=None, - CpTh_value=None, - method='least_squares', + list_of_temperatures, + list_of_signals, + oligomer_concentrations, + initial_parameters, + low_bounds, + high_bounds, + signal_fx, + baseline_native_fx, + baseline_unfolded_fx, + t1=None, + t2=None, + dh1=None, + dh2=None, + CpTh_value=None, + method="least_squares", ): """ - Vectorized and optimized version of global thermal unfolding fitting. of oligomers - - Parameters - ---------- - list_of_temperatures : list of array-like - Temperature arrays for each dataset - list_of_signals : list of array-like - Signal arrays for each dataset - oligomer_concentrations : list - oligomer concentrations (one per dataset) - initial_parameters : array-like - Initial guess for parameters - low_bounds : array-like - Lower bounds for parameters - high_bounds : array-like - Upper bounds for parameters - signal_fx : callable - Signal model function - baseline_native_fx : callable - function to calculate the native state baseline - baseline_unfolded_fx : callable - function to calculate the unfolded state baseline - t1, t2 : float, optional - Values for the unfolding temperatures one and two - dh1, dh2 : float, optional - Values for the unfolding enthalpy one and two - CpTh_value : float, optional - Value for the total Cp of the system, enabling fitting of Cp1 + Vectorized and optimized version of global thermal unfolding fitting of oligomers. Returns ------- @@ -955,65 +928,80 @@ def fit_oligomer_unfolding_three_states_single_slopes( predicted_lst : list of numpy.ndarray result : lmfit.minimizer.MinimizerResult minimizer : lmfit.minimizer.Minimizer + + Note + ----- + Dear dev/user. Fitting Cp1 will probably not work in the case of monomers, given that changing Cp does not change the shape of the unfolding curve. """ + # Work on copies so the caller's arrays are not modified in place. + initial_parameters = np.array(initial_parameters, dtype=float, copy=True) + low_bounds = np.array(low_bounds, dtype=float, copy=True) + high_bounds = np.array(high_bounds, dtype=float, copy=True) + # ------------------------------------------------------------ - # Precompute dataset structure + # Precompute dataset structure once # ------------------------------------------------------------ n_datasets = len(list_of_temperatures) - lengths = np.array([len(T) for T in list_of_temperatures]) + lengths = np.array([len(T) for T in list_of_temperatures], dtype=int) + ds_idx = np.repeat(np.arange(n_datasets), lengths) list_of_temperatures = [temperature_to_kelvin(T) for T in list_of_temperatures] - T_all = np.concatenate(list_of_temperatures) y_all = np.concatenate(list_of_signals) + C_all = np.repeat(np.asarray(oligomer_concentrations, dtype=float), lengths) - C_all = np.repeat(oligomer_concentrations, lengths) + dataset_starts = np.cumsum(np.r_[0, lengths[:-1]]) + dataset_ends = np.cumsum(lengths) # ------------------------------------------------------------ - # Baseline parameter requirements (resolved ONCE) + # Baseline parameter requirements (resolved once) # ------------------------------------------------------------ use_p2N, use_p3N = baseline_fx_name_to_req_params(baseline_native_fx) use_p2U, use_p3U = baseline_fx_name_to_req_params(baseline_unfolded_fx) - # Convert the Tm to kelvin - if not t1: + # ------------------------------------------------------------ + # Resolve optional fixed parameters + # ------------------------------------------------------------ + if t1 is None: initial_parameters[0] = temperature_to_kelvin(initial_parameters[0]) low_bounds[0] = temperature_to_kelvin(low_bounds[0]) high_bounds[0] = temperature_to_kelvin(high_bounds[0]) else: - initial_parameters[0]= temperature_to_kelvin(t1) - low_bounds[0] = initial_parameters[0] - 20 - high_bounds[0] = initial_parameters[0] + 20 + initial_parameters[0] = temperature_to_kelvin(t1) + low_bounds[0] = initial_parameters[0] - 12 + high_bounds[0] = initial_parameters[0] + 18 - if not t2: + if t2 is None: initial_parameters[2] = temperature_to_kelvin(initial_parameters[2]) low_bounds[2] = temperature_to_kelvin(low_bounds[2]) high_bounds[2] = temperature_to_kelvin(high_bounds[2]) else: - initial_parameters[2]= temperature_to_kelvin(t2) - low_bounds[2] = initial_parameters[2] - 20 - high_bounds[2] = initial_parameters[2] + 20 + initial_parameters[2] = temperature_to_kelvin(t2) + low_bounds[2] = initial_parameters[2] - 12 + high_bounds[2] = initial_parameters[2] + 18 - if dh1: + if dh1 is not None: initial_parameters[1] = dh1 low_bounds[1] = dh1 - 50 high_bounds[1] = dh1 + 50 - if dh2: + if dh2 is not None: initial_parameters[3] = dh2 low_bounds[3] = dh2 - 50 high_bounds[3] = dh2 + 50 - + # ------------------------------------------------------------ + # Build lmfit parameters + # ------------------------------------------------------------ params_lmfit = lmfit.Parameters() param_names = [] - i = 0 def add_param(name, value, pmin, pmax): params_lmfit.add(name, value=float(value), min=float(pmin), max=float(pmax), vary=True) param_names.append(name) + i = 0 add_param("Tm1", initial_parameters[i], low_bounds[i], high_bounds[i]) i += 1 add_param("DHm1", initial_parameters[i], low_bounds[i], high_bounds[i]) @@ -1059,37 +1047,21 @@ def add_param(name, value, pmin, pmax): add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) i += n_datasets - def model(pars): - - """ - Calculate the thermal unfolding profile of many curves at the same time + # Prebuild parameter name lists for fast extraction + p1N_names = [f"p1N_{j}" for j in range(n_datasets)] + p1U_names = [f"p1U_{j}" for j in range(n_datasets)] + bI_names = [f"bI_{j}" for j in range(n_datasets)] + p2N_names = [f"p2N_{j}" for j in range(n_datasets)] if use_p2N else None + p2U_names = [f"p2U_{j}" for j in range(n_datasets)] if use_p2U else None + p3N_names = [f"p3N_{j}" for j in range(n_datasets)] if use_p3N else None + p3U_names = [f"p3U_{j}" for j in range(n_datasets)] if use_p3U else None - Requires: - - - The 'T_all' containing the temperatures as a single dataset - - The 'C_all' containing the concentrations as a single dataset - - The other arguments have to be in the following order: - - - Global melting temperature for the first transition - - Global enthalpy of unfolding for the first transition - - Global melting temperature for the second transition - - Global enthalpy of unfolding for the second transition - - Single intercepts, folded - - Single intercepts, unfolded - - Single intercepts, intermediate - - Single slopes or pre-exp terms, folded - - Single slopes or pre-exp terms, unfolded - - Single quadratic or exponential coefficients, folded - - Single quadratic or exponential coefficients, unfolded - - Returns: - - The melting curves based on the parameters Temperature of melting, enthalpy of unfolding, - slopes and intercept of the folded and unfolded states - - """ + def get_vals(pars, names): + if names is None: + return None + return np.fromiter((pars[n].value for n in names), dtype=float, count=n_datasets) + def model(pars): Tm1 = pars["Tm1"].value DHm1 = pars["DHm1"].value Tm2 = pars["Tm2"].value @@ -1102,41 +1074,42 @@ def model(pars): Cp1 = 0.0 CpTh = 0.0 - p1N = np.repeat(np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]), lengths) - p1U = np.repeat(np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]), lengths) - bI = np.repeat(np.array([pars[f"bI_{j}"].value for j in range(n_datasets)]), lengths) + p1N = get_vals(pars, p1N_names)[ds_idx] + p1U = get_vals(pars, p1U_names)[ds_idx] + bI = get_vals(pars, bI_names)[ds_idx] - if use_p2N: - p2N = np.repeat(np.array([pars[f"p2N_{j}"].value for j in range(n_datasets)]), lengths) - else: - p2N = 0.0 + p2N = get_vals(pars, p2N_names) + p2N = p2N[ds_idx] if p2N is not None else 0 + p2U = get_vals(pars, p2U_names) + p2U = p2U[ds_idx] if p2U is not None else 0 - if use_p2U: - p2U = np.repeat(np.array([pars[f"p2U_{j}"].value for j in range(n_datasets)]), lengths) - else: - p2U = 0.0 - - if use_p3N: - p3N = np.repeat(np.array([pars[f"p3N_{j}"].value for j in range(n_datasets)]), lengths) - else: - p3N = 0.0 + p3N = get_vals(pars, p3N_names) + p3N = p3N[ds_idx] if p3N is not None else 0 - if use_p3U: - p3U = np.repeat(np.array([pars[f"p3U_{j}"].value for j in range(n_datasets)]), lengths) - else: - p3U = 0.0 + p3U = get_vals(pars, p3U_names) + p3U = p3U[ds_idx] if p3U is not None else 0 - # ---- Single vectorized signal evaluation ---- return signal_fx( - T_all,C_all, Tm1, DHm1, Tm2, DHm2, - 0, p1N, p2N, p3N, - 0, p1U, p2U, p3U, - baseline_native_fx, - baseline_unfolded_fx, - bI, - Cp1,CpTh, - ) - + T_all, + C_all, + Tm1, + DHm1, + Tm2, + DHm2, + 0, + p1N, + p2N, + p3N, + 0, + p1U, + p2U, + p3U, + baseline_native_fx, + baseline_unfolded_fx, + bI, + Cp1, + CpTh, + ) def residuals(pars): return model(pars) - y_all @@ -1144,25 +1117,13 @@ def residuals(pars): minimizer = lmfit.Minimizer(residuals, params_lmfit, calc_covar=True) result = minimizer.minimize(method=method) - global_fit_params = np.array([result.params[name].value for name in param_names]) - + global_fit_params = np.array([result.params[name].value for name in param_names], dtype=float) cov = result.covar - - """ - J = result.jac - dof = len(y_all) - len(global_fit_params) - residual_variance = np.sum(result.residual**2) / max(dof, 1) - cov = pinv(J.T @ J) * residual_variance - """ - # Convert predicted signal into list of arrays per dataset - dataset_starts = np.cumsum([0] + lengths[:-1].tolist()) - dataset_ends = np.cumsum(lengths) predicted = y_all + result.residual predicted_lst = [predicted[start:end] for start, end in zip(dataset_starts, dataset_ends)] - # Convert the Tm back to Celsius - + # Convert fitted Tm values back to Celsius global_fit_params[0] = temperature_to_celsius(global_fit_params[0]) global_fit_params[2] = temperature_to_celsius(global_fit_params[2]) @@ -1679,7 +1640,7 @@ def fit_oligomer_unfolding_three_states_shared_slopes_many_signals( high_bounds[0] = temperature_to_kelvin(high_bounds[0]) else: initial_parameters[0]= temperature_to_kelvin(t1) - low_bounds[0] = np.max([initial_parameters[0] - 20, 271]) + low_bounds[0] = np.max([initial_parameters[0] - 20, 280]) high_bounds[0] = initial_parameters[0] + 20 if not t2: @@ -1688,7 +1649,7 @@ def fit_oligomer_unfolding_three_states_shared_slopes_many_signals( high_bounds[2] = temperature_to_kelvin(high_bounds[2]) else: initial_parameters[2]= temperature_to_kelvin(t2) - low_bounds[2] = np.max([initial_parameters[2] - 20, 271]) + low_bounds[2] = np.max([initial_parameters[2] - 20, 280]) high_bounds[2] = initial_parameters[2] + 20 if dh1: diff --git a/tests/test_main_3.py b/tests/test_main_3.py index 23acabe..34e62ac 100644 --- a/tests/test_main_3.py +++ b/tests/test_main_3.py @@ -126,15 +126,16 @@ def test_fit_thermal_unfolding_global(): np.testing.assert_allclose(actual,expected,rtol=0.3) def test_estimate_derivative_prediction_interpolation(): - tmp = pychem_sim.temp_lst_expanded.copy() - pychem_sim.temp_lst_expanded[0][0] = -100 + # Force non-evenly spaced temperatures to test interpolation in derivative estimation + pychem_sim.temp_lst_expanded[0][0] -= 0.5 pychem_sim.estimate_derivative() assert len(pychem_sim.deriv_lst_multiple[0]) == 7 - pychem_sim.temp_lst_expanded = tmp + # Restore original temperatures for subsequent tests + pychem_sim.temp_lst_expanded[0][0] += 0.5 pychem_sim.fit_thermal_unfolding_global() diff --git a/tests/test_main_therm_oligo_three_state.py b/tests/test_main_therm_oligo_three_state.py index 80a6a7d..e38dd2a 100644 --- a/tests/test_main_therm_oligo_three_state.py +++ b/tests/test_main_therm_oligo_three_state.py @@ -344,13 +344,13 @@ def test_fit_thermal_unfolding_three_state_global_tetramer_monomeric(): # fixed Tm limits tetramer_sim.fit_thermal_unfolding_three_state_global( - tm_limits=[Tm_VAL_1 - 12, Tm_VAL_1 + 20, Tm_VAL_2 - 12, Tm_VAL_2 + 20]) + tm_limits=[Tm_VAL_1 - 12, Tm_VAL_1 + 16, Tm_VAL_2 - 12, Tm_VAL_2 + 16]) np.testing.assert_allclose(tetramer_sim.params_df.iloc[:4, 1], expected, rtol=0.2) # fixed dh limits - tetramer_sim.fit_thermal_unfolding_three_state_global(dh_limits=[10, 500, 10, 500]) + tetramer_sim.fit_thermal_unfolding_three_state_global(dh_limits=[100, 300, 100, 300]) np.testing.assert_allclose(tetramer_sim.params_df.iloc[:4, 1], expected, rtol=0.2) diff --git a/tests/test_main_therm_oligo_three_state_3.py b/tests/test_main_therm_oligo_three_state_3.py index 8f0beca..205e736 100644 --- a/tests/test_main_therm_oligo_three_state_3.py +++ b/tests/test_main_therm_oligo_three_state_3.py @@ -30,24 +30,24 @@ TEMP_STOP = 90.0 N_TEMPS = 150 CONCS = np.arange(10, 60, 10) * 1e-6 -MAX_POINTS = 400 +MAX_POINTS = 100 CP1 = 1.0 -CPTH = 1.8 +CPTH = 2 # Model / ground-truth parameters DHm_VAL_1 = 300 DHm_VAL_2 = 300 Tm_VAL_1 = 70 -Tm_VAL_2 = 80 +Tm_VAL_2 = 70 INTERCEPT_I = 15 INTERCEPT_N = 24 SLOPE_N = -0.27 C_N_VAL = 0 -INTERCEPT_U = -4 -SLOPE_U = 80.5 +INTERCEPT_U = 1 +PRE_EXP_U = 80.5 EXPONENT_U = 0.0224 C_U_VAL = 0 @@ -65,7 +65,7 @@ 'p4_N': 0, 'p1_U': C_U_VAL, 'p2_U': INTERCEPT_U, - 'p3_U': SLOPE_U, + 'p3_U': PRE_EXP_U, 'p4_U': EXPONENT_U, 'baseline_N_fx': linear_baseline, 'baseline_U_fx': exponential_baseline, @@ -94,7 +94,7 @@ def aux_create_pychem_sim(params, concs, model, intermediate): y = signal_fx(temp_range_K, C, **params) # Add gaussian error to signal - # y += rng.normal(0, 0.002*1e-3, len(y)) # Small error (seeded) + y += rng.normal(0, 0.002*1e-4, len(y)) # Small error (seeded) signal_list.append(y) temp_list.append(temp_range) @@ -134,29 +134,7 @@ def test_fit_thermal_unfolding_three_state_global_failure(): pytest.raises(ValueError, sample.fit_thermal_unfolding_three_state_global, CpTh=0.0) -# Testing Monomer_monomeric model - -monomer_sim = aux_create_pychem_sim(def_params, concs, "Monomer", "monomeric") - - -def test_fit_thermal_unfolding_three_state_given_CpTh_monomer_monomeric(): - - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, CP1, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, SLOPE_U, - EXPONENT_U] - - monomer_sim.n_residues = 100 - monomer_sim.guess_Cp() - - monomer_sim.fit_thermal_unfolding_three_state_global(CpTh=CPTH) - monomer_sim.fit_thermal_unfolding_three_state_global_global() - - monomer_sim.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) - - np.testing.assert_allclose(monomer_sim.params_df.iloc[:11, 1], expected, rtol=0.2, atol=1.5) - - - - +# Testing Monomer_monomeric model with CpTh is skipen because it can not be done # Testing Dimer_monomeric model @@ -164,7 +142,7 @@ def test_fit_thermal_unfolding_three_state_given_CpTh_monomer_monomeric(): def test_fit_thermal_unfolding_three_state_given_CpTh_dimer_monomeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, CP1, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, SLOPE_U, + expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, CP1, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, PRE_EXP_U, EXPONENT_U] dimer_sim.n_residues = 100 @@ -175,7 +153,7 @@ def test_fit_thermal_unfolding_three_state_given_CpTh_dimer_monomeric(): dimer_sim.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) - np.testing.assert_allclose(dimer_sim.params_df.iloc[:11, 1], expected, rtol=0.2, atol=1.5) + np.testing.assert_allclose(dimer_sim.params_df.iloc[:5, 1], expected[:5], rtol=0.3) # Testing Trimer_monomeric model @@ -184,7 +162,7 @@ def test_fit_thermal_unfolding_three_state_given_CpTh_dimer_monomeric(): def test_fit_thermal_unfolding_three_state_given_CpTh_trimer_monomeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, CP1, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, SLOPE_U, + expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, CP1, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, PRE_EXP_U, EXPONENT_U] trimer_sim.n_residues = 100 @@ -195,7 +173,7 @@ def test_fit_thermal_unfolding_three_state_given_CpTh_trimer_monomeric(): trimer_sim.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) - np.testing.assert_allclose(trimer_sim.params_df.iloc[:11, 1], expected, rtol=0.2, atol=1.5) + np.testing.assert_allclose(trimer_sim.params_df.iloc[:5, 1], expected[:5], rtol=0.3) # Testing Tetramer_monomeric model @@ -204,10 +182,10 @@ def test_fit_thermal_unfolding_three_state_given_CpTh_trimer_monomeric(): def test_fit_thermal_unfolding_three_state_given_CpTh_tetramer_monomeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, CP1, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, SLOPE_U, + expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, CP1, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, PRE_EXP_U, EXPONENT_U] - tetramer_sim.n_residues = 100 + tetramer_sim.n_residues = 80 tetramer_sim.guess_Cp() tetramer_sim.fit_thermal_unfolding_three_state_global(CpTh=CPTH) @@ -215,16 +193,20 @@ def test_fit_thermal_unfolding_three_state_given_CpTh_tetramer_monomeric(): tetramer_sim.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) - np.testing.assert_allclose(tetramer_sim.params_df.iloc[:11, 1], expected, rtol=0.2, atol=1.5) + np.testing.assert_allclose(tetramer_sim.params_df.iloc[:5, 1], expected[:5], rtol=0.3) # Testing Dimer_dimeric model +# Edit T1 so there are two clear transitions in the n-meric models +def_params['T1'] = 60 + 273.15 +def_params['T2'] = 75 + 273.15 + dimer_sim_dimeric = aux_create_pychem_sim(def_params, concs, "Dimer", "dimeric") def test_fit_thermal_unfolding_three_state_given_CpTh_dimer_dimeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, CP1, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, SLOPE_U, + expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, CP1, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, PRE_EXP_U, EXPONENT_U] dimer_sim_dimeric.n_residues = 100 @@ -235,7 +217,7 @@ def test_fit_thermal_unfolding_three_state_given_CpTh_dimer_dimeric(): dimer_sim_dimeric.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) - np.testing.assert_allclose(dimer_sim_dimeric.params_df.iloc[:11, 1], expected, rtol=0.2, atol=1.5) + np.testing.assert_allclose(dimer_sim_dimeric.params_df.iloc[:5, 1], expected[:5], rtol=0.3) # Testing Trimer_trimeric model @@ -245,8 +227,8 @@ def test_fit_thermal_unfolding_three_state_given_CpTh_dimer_dimeric(): def test_fit_thermal_unfolding_three_state_given_CpTh_trimer_trimeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, CP1, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, SLOPE_U, - EXPONENT_U] + expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, CP1, + INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, PRE_EXP_U,EXPONENT_U] trimer_sim_trimeric.n_residues = 100 trimer_sim_trimeric.guess_Cp() @@ -256,5 +238,5 @@ def test_fit_thermal_unfolding_three_state_given_CpTh_trimer_trimeric(): trimer_sim_trimeric.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) - np.testing.assert_allclose(trimer_sim_trimeric.params_df.iloc[:11, 1], expected, rtol=0.2, atol=1.5) + np.testing.assert_allclose(trimer_sim_trimeric.params_df.iloc[:5, 1], expected[:5], rtol=0.3) From 3881c9fa67b7a971ee0ba7b0dbc11f5ac9f0ef42 Mon Sep 17 00:00:00 2001 From: osvalb Date: Wed, 13 May 2026 20:06:53 +0200 Subject: [PATCH 5/7] speedup --- src/pychemelt/thermal_oligomer.py | 17 +- src/pychemelt/utils/fitting.py | 682 +++++++++++++----- src/pychemelt/utils/fractions.py | 43 +- src/pychemelt/utils/math.py | 94 +++ src/pychemelt/utils/signals.py | 82 +-- tests/test_fitting_therm_oligo.py | 15 +- tests/test_fitting_therm_oligo_2.py | 68 +- tests/test_fitting_therm_oligo_Cp_value.py | 218 +----- tests/test_fitting_therm_oligo_three_state.py | 25 +- tests/test_main_therm_oligo.py | 19 +- tests/test_main_therm_oligo_2.py | 23 +- tests/test_main_therm_oligo_three_state.py | 20 +- tests/test_main_therm_oligo_three_state_2.py | 24 +- tests/test_main_therm_oligo_three_state_3.py | 19 +- tests/test_plotting_oligomer.py | 2 - 15 files changed, 760 insertions(+), 591 deletions(-) diff --git a/src/pychemelt/thermal_oligomer.py b/src/pychemelt/thermal_oligomer.py index 6462f94..cc86520 100644 --- a/src/pychemelt/thermal_oligomer.py +++ b/src/pychemelt/thermal_oligomer.py @@ -20,10 +20,10 @@ temperature_to_kelvin, temperature_to_celsius, relative_errors, - constant_baseline, - linear_baseline, - quadratic_baseline, - exponential_baseline, + constant_baseline_only_temp, + linear_baseline_only_temp, + quadratic_baseline_only_temp, + exponential_baseline_only_temp ) from .utils.processing import ( @@ -294,7 +294,6 @@ def estimate_baseline_parameters( self.adjusted_signal_lst_multiple = list(np.array(self.signal_lst_multiple[i])/ np.array(oligomer_concentrations)) - p1Ns, p1Us, p2Ns, p2Us, p3Ns, p3Us = estimate_signal_baseline_params( self.adjusted_signal_lst_multiple, self.temp_lst_multiple[i], @@ -313,10 +312,10 @@ def estimate_baseline_parameters( self.third_param_Us_per_signal.append(p3Us) baseline_fx_dic = { - 'constant': constant_baseline, - 'linear': linear_baseline, - 'quadratic': quadratic_baseline, - 'exponential': exponential_baseline + 'constant': constant_baseline_only_temp, + 'linear': linear_baseline_only_temp, + 'quadratic': quadratic_baseline_only_temp, + 'exponential': exponential_baseline_only_temp } self.window_range_native = window_range_native diff --git a/src/pychemelt/utils/fitting.py b/src/pychemelt/utils/fitting.py index 3d9a879..b54b25f 100644 --- a/src/pychemelt/utils/fitting.py +++ b/src/pychemelt/utils/fitting.py @@ -558,11 +558,40 @@ def add_param(name, value, pmin, pmax, vary=True): i += n_datasets # ------------------------------------------------------------ - # Vectorized unfolding model + # Pre-cache parameter names for faster access (use tuples for immutability) # ------------------------------------------------------------ - def unfolding_model(pars): - idx = 0 + p1N_names = tuple(f"p1N_{j}" for j in range(n_datasets)) + p1U_names = tuple(f"p1U_{j}" for j in range(n_datasets)) + + p2N_names = tuple(f"p2N_{j}" for j in range(n_datasets)) if use_p2N else None + p2U_names = tuple(f"p2U_{j}" for j in range(n_datasets)) if use_p2U else None + p3N_names = tuple(f"p3N_{j}" for j in range(n_datasets)) if use_p3N else None + p3U_names = tuple(f"p3U_{j}" for j in range(n_datasets)) if use_p3U else None + + # Pre-allocate arrays for baseline parameters (per-dataset) + p1N_arr = np.empty(n_datasets, dtype=float) + p1U_arr = np.empty(n_datasets, dtype=float) + p2N_arr = np.empty(n_datasets, dtype=float) if use_p2N else None + p2U_arr = np.empty(n_datasets, dtype=float) if use_p2U else None + p3N_arr = np.empty(n_datasets, dtype=float) if use_p3N else None + p3U_arr = np.empty(n_datasets, dtype=float) if use_p3U else None + + # Pre-allocate expanded arrays (full length) for in-place operations + p1N_all = np.empty(len(T_all), dtype=float) + p1U_all = np.empty(len(T_all), dtype=float) + p2N_all = np.empty(len(T_all), dtype=float) if use_p2N else None + p2U_all = np.empty(len(T_all), dtype=float) if use_p2U else None + p3N_all = np.empty(len(T_all), dtype=float) if use_p3N else None + p3U_all = np.empty(len(T_all), dtype=float) if use_p3U else None + + # Pre-compute indices for fancy indexing (replaces np.repeat) + dataset_indices = np.repeat(np.arange(n_datasets), lengths) + # ------------------------------------------------------------ + # Vectorized unfolding model (highly optimized) + # ------------------------------------------------------------ + def unfolding_model(pars): + # Extract thermodynamic parameters if tm_value is None: Tm = pars["Tm"].value else: @@ -579,63 +608,55 @@ def unfolding_model(pars): Cp0 = cp_value m0 = pars["m0"].value + m1 = pars["m1"].value if fit_m1 else 0.0 - if fit_m1: - m1 = pars["m1"].value - else: - m1 = 0.0 - - p1N = np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]) - p1U = np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]) + # Extract baseline parameters efficiently using pre-cached names + for j in range(n_datasets): + p1N_arr[j] = pars[p1N_names[j]].value + p1U_arr[j] = pars[p1U_names[j]].value + + # Use fancy indexing with pre-allocated arrays (faster than np.repeat) + p1N_all[:] = p1N_arr[dataset_indices] + p1U_all[:] = p1U_arr[dataset_indices] + # Handle optional baseline parameters if use_p2N: - p2N = np.array([pars[f"p2N_{j}"].value for j in range(n_datasets)]) + for j in range(n_datasets): + p2N_arr[j] = pars[p2N_names[j]].value + p2N_all[:] = p2N_arr[dataset_indices] + p2N_arg = p2N_all else: - p2N = 0.0 + p2N_arg = 0.0 if use_p2U: - p2U = np.array([pars[f"p2U_{j}"].value for j in range(n_datasets)]) + for j in range(n_datasets): + p2U_arr[j] = pars[p2U_names[j]].value + p2U_all[:] = p2U_arr[dataset_indices] + p2U_arg = p2U_all else: - p2U = 0.0 + p2U_arg = 0.0 if use_p3N: - p3N = np.array([pars[f"p3N_{j}"].value for j in range(n_datasets)]) + for j in range(n_datasets): + p3N_arr[j] = pars[p3N_names[j]].value + p3N_all[:] = p3N_arr[dataset_indices] + p3N_arg = p3N_all else: - p3N = 0.0 + p3N_arg = 0.0 if use_p3U: - p3U = np.array([pars[f"p3U_{j}"].value for j in range(n_datasets)]) - else: - p3U = 0.0 - - p1N_all = np.repeat(p1N, lengths) - p1U_all = np.repeat(p1U, lengths) - - if np.isscalar(p2N): - p2N_all = p2N - else: - p2N_all = np.repeat(p2N, lengths) - - if np.isscalar(p2U): - p2U_all = p2U - else: - p2U_all = np.repeat(p2U, lengths) - - if np.isscalar(p3N): - p3N_all = p3N - else: - p3N_all = np.repeat(p3N, lengths) - - if np.isscalar(p3U): - p3U_all = p3U + for j in range(n_datasets): + p3U_arr[j] = pars[p3U_names[j]].value + p3U_all[:] = p3U_arr[dataset_indices] + p3U_arg = p3U_all else: - p3U_all = np.repeat(p3U, lengths) + p3U_arg = 0.0 return signal_fx( T_all, d_all, DHm, Tm, Cp0, m0, m1, - 0, p1N_all, p2N_all, p3N_all, - 0, p1U_all, p2U_all, p3U_all, + 0, p1N_all, p2N_arg, p3N_arg, + 0, p1U_all, p2U_arg, p3U_arg, baseline_native_fx, baseline_unfolded_fx, c_all @@ -802,6 +823,36 @@ def add_param(name, value, pmin, pmax): add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) i += n_datasets + # ------------------------------------------------------------ + # Pre-cache parameter names for faster access (use tuples for immutability) + # ------------------------------------------------------------ + p1N_names = tuple(f"p1N_{j}" for j in range(n_datasets)) + p1U_names = tuple(f"p1U_{j}" for j in range(n_datasets)) + + p2N_names = tuple(f"p2N_{j}" for j in range(n_datasets)) if use_p2N else None + p2U_names = tuple(f"p2U_{j}" for j in range(n_datasets)) if use_p2U else None + p3N_names = tuple(f"p3N_{j}" for j in range(n_datasets)) if use_p3N else None + p3U_names = tuple(f"p3U_{j}" for j in range(n_datasets)) if use_p3U else None + + # Pre-allocate arrays for baseline parameters (per-dataset) + p1N_arr = np.empty(n_datasets, dtype=float) + p1U_arr = np.empty(n_datasets, dtype=float) + p2N_arr = np.empty(n_datasets, dtype=float) if use_p2N else None + p2U_arr = np.empty(n_datasets, dtype=float) if use_p2U else None + p3N_arr = np.empty(n_datasets, dtype=float) if use_p3N else None + p3U_arr = np.empty(n_datasets, dtype=float) if use_p3U else None + + # Pre-allocate expanded arrays (full length) for in-place operations + p1N_all = np.empty(len(T_all), dtype=float) + p1U_all = np.empty(len(T_all), dtype=float) + p2N_all = np.empty(len(T_all), dtype=float) if use_p2N else None + p2U_all = np.empty(len(T_all), dtype=float) if use_p2U else None + p3N_all = np.empty(len(T_all), dtype=float) if use_p3N else None + p3U_all = np.empty(len(T_all), dtype=float) if use_p3U else None + + # Pre-compute indices for fancy indexing (replaces np.repeat) + dataset_indices = np.repeat(np.arange(n_datasets), lengths) + def model(pars): """ @@ -845,34 +896,53 @@ def model(pars): else: Cp0 = cp_value - p1N = np.repeat(np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]), lengths) - p1U = np.repeat(np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]), lengths) + # Extract baseline parameters efficiently using pre-cached names + for j in range(n_datasets): + p1N_arr[j] = pars[p1N_names[j]].value + p1U_arr[j] = pars[p1U_names[j]].value + + # Use fancy indexing with pre-allocated arrays (faster than np.repeat) + p1N_all[:] = p1N_arr[dataset_indices] + p1U_all[:] = p1U_arr[dataset_indices] + # Handle optional baseline parameters if use_p2N: - p2N = np.repeat(np.array([pars[f"p2N_{j}"].value for j in range(n_datasets)]), lengths) + for j in range(n_datasets): + p2N_arr[j] = pars[p2N_names[j]].value + p2N_all[:] = p2N_arr[dataset_indices] + p2N_arg = p2N_all else: - p2N = 0.0 + p2N_arg = 0.0 if use_p2U: - p2U = np.repeat(np.array([pars[f"p2U_{j}"].value for j in range(n_datasets)]), lengths) + for j in range(n_datasets): + p2U_arr[j] = pars[p2U_names[j]].value + p2U_all[:] = p2U_arr[dataset_indices] + p2U_arg = p2U_all else: - p2U = 0.0 + p2U_arg = 0.0 if use_p3N: - p3N = np.repeat(np.array([pars[f"p3N_{j}"].value for j in range(n_datasets)]), lengths) + for j in range(n_datasets): + p3N_arr[j] = pars[p3N_names[j]].value + p3N_all[:] = p3N_arr[dataset_indices] + p3N_arg = p3N_all else: - p3N = 0.0 + p3N_arg = 0.0 if use_p3U: - p3U = np.repeat(np.array([pars[f"p3U_{j}"].value for j in range(n_datasets)]), lengths) + for j in range(n_datasets): + p3U_arr[j] = pars[p3U_names[j]].value + p3U_all[:] = p3U_arr[dataset_indices] + p3U_arg = p3U_all else: - p3U = 0.0 + p3U_arg = 0.0 # ---- Single vectorized signal evaluation ---- return signal_fx( T_all,C_all, Tm, DHm, - 0, p1N, p2N, p3N, - 0, p1U, p2U, p3U, + p1N_all, p2N_arg, p3N_arg, + p1U_all, p2U_arg, p3U_arg, baseline_native_fx, baseline_unfolded_fx, Cp0, @@ -1047,19 +1117,34 @@ def add_param(name, value, pmin, pmax): add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) i += n_datasets - # Prebuild parameter name lists for fast extraction - p1N_names = [f"p1N_{j}" for j in range(n_datasets)] - p1U_names = [f"p1U_{j}" for j in range(n_datasets)] - bI_names = [f"bI_{j}" for j in range(n_datasets)] - p2N_names = [f"p2N_{j}" for j in range(n_datasets)] if use_p2N else None - p2U_names = [f"p2U_{j}" for j in range(n_datasets)] if use_p2U else None - p3N_names = [f"p3N_{j}" for j in range(n_datasets)] if use_p3N else None - p3U_names = [f"p3U_{j}" for j in range(n_datasets)] if use_p3U else None - - def get_vals(pars, names): - if names is None: - return None - return np.fromiter((pars[n].value for n in names), dtype=float, count=n_datasets) + # ------------------------------------------------------------ + # Pre-cache parameter names for faster access (use tuples for immutability) + # ------------------------------------------------------------ + p1N_names = tuple(f"p1N_{j}" for j in range(n_datasets)) + p1U_names = tuple(f"p1U_{j}" for j in range(n_datasets)) + bI_names = tuple(f"bI_{j}" for j in range(n_datasets)) + p2N_names = tuple(f"p2N_{j}" for j in range(n_datasets)) if use_p2N else None + p2U_names = tuple(f"p2U_{j}" for j in range(n_datasets)) if use_p2U else None + p3N_names = tuple(f"p3N_{j}" for j in range(n_datasets)) if use_p3N else None + p3U_names = tuple(f"p3U_{j}" for j in range(n_datasets)) if use_p3U else None + + # Pre-allocate arrays for baseline parameters (per-dataset) + p1N_arr = np.empty(n_datasets, dtype=float) + p1U_arr = np.empty(n_datasets, dtype=float) + bI_arr = np.empty(n_datasets, dtype=float) + p2N_arr = np.empty(n_datasets, dtype=float) if use_p2N else None + p2U_arr = np.empty(n_datasets, dtype=float) if use_p2U else None + p3N_arr = np.empty(n_datasets, dtype=float) if use_p3N else None + p3U_arr = np.empty(n_datasets, dtype=float) if use_p3U else None + + # Pre-allocate expanded arrays (full length) for in-place operations + p1N_all = np.empty(len(T_all), dtype=float) + p1U_all = np.empty(len(T_all), dtype=float) + bI_all = np.empty(len(T_all), dtype=float) + p2N_all = np.empty(len(T_all), dtype=float) if use_p2N else None + p2U_all = np.empty(len(T_all), dtype=float) if use_p2U else None + p3N_all = np.empty(len(T_all), dtype=float) if use_p3N else None + p3U_all = np.empty(len(T_all), dtype=float) if use_p3U else None def model(pars): Tm1 = pars["Tm1"].value @@ -1074,20 +1159,49 @@ def model(pars): Cp1 = 0.0 CpTh = 0.0 - p1N = get_vals(pars, p1N_names)[ds_idx] - p1U = get_vals(pars, p1U_names)[ds_idx] - bI = get_vals(pars, bI_names)[ds_idx] + # Extract baseline parameters efficiently using pre-cached names + for j in range(n_datasets): + p1N_arr[j] = pars[p1N_names[j]].value + p1U_arr[j] = pars[p1U_names[j]].value + bI_arr[j] = pars[bI_names[j]].value + + # Use fancy indexing with pre-allocated arrays (faster than creating new arrays) + p1N_all[:] = p1N_arr[ds_idx] + p1U_all[:] = p1U_arr[ds_idx] + bI_all[:] = bI_arr[ds_idx] - p2N = get_vals(pars, p2N_names) - p2N = p2N[ds_idx] if p2N is not None else 0 - p2U = get_vals(pars, p2U_names) - p2U = p2U[ds_idx] if p2U is not None else 0 + # Handle optional baseline parameters + if use_p2N: + for j in range(n_datasets): + p2N_arr[j] = pars[p2N_names[j]].value + p2N_all[:] = p2N_arr[ds_idx] + p2N_arg = p2N_all + else: + p2N_arg = 0 - p3N = get_vals(pars, p3N_names) - p3N = p3N[ds_idx] if p3N is not None else 0 + if use_p2U: + for j in range(n_datasets): + p2U_arr[j] = pars[p2U_names[j]].value + p2U_all[:] = p2U_arr[ds_idx] + p2U_arg = p2U_all + else: + p2U_arg = 0 - p3U = get_vals(pars, p3U_names) - p3U = p3U[ds_idx] if p3U is not None else 0 + if use_p3N: + for j in range(n_datasets): + p3N_arr[j] = pars[p3N_names[j]].value + p3N_all[:] = p3N_arr[ds_idx] + p3N_arg = p3N_all + else: + p3N_arg = 0 + + if use_p3U: + for j in range(n_datasets): + p3U_arr[j] = pars[p3U_names[j]].value + p3U_all[:] = p3U_arr[ds_idx] + p3U_arg = p3U_all + else: + p3U_arg = 0 return signal_fx( T_all, @@ -1096,17 +1210,15 @@ def model(pars): DHm1, Tm2, DHm2, - 0, - p1N, - p2N, - p3N, - 0, - p1U, - p2U, - p3U, + p1N_all, + p2N_arg, + p3N_arg, + p1U_all, + p2U_arg, + p3U_arg, baseline_native_fx, baseline_unfolded_fx, - bI, + bI_all, Cp1, CpTh, ) @@ -1271,6 +1383,24 @@ def add_param(name, value, pmin, pmax): add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) i += n_signals + # ------------------------------------------------------------ + # Pre-cache parameter names for faster access + # ------------------------------------------------------------ + p1N_names = tuple(f"p1N_{j}" for j in range(n_datasets)) + p1U_names = tuple(f"p1U_{j}" for j in range(n_datasets)) + p2N_names = tuple(f"p2N_{j}" for j in range(n_signals)) if baseline_native_params[0] else None + p2U_names = tuple(f"p2U_{j}" for j in range(n_signals)) if baseline_unfolded_params[0] else None + p3N_names = tuple(f"p3N_{j}" for j in range(n_signals)) if baseline_native_params[1] else None + p3U_names = tuple(f"p3U_{j}" for j in range(n_signals)) if baseline_unfolded_params[1] else None + + # Pre-allocate arrays + intercepts_folded_arr = np.empty(n_datasets, dtype=float) + intercepts_unfolded_arr = np.empty(n_datasets, dtype=float) + p2_n_s_arr = np.empty(n_signals, dtype=float) if baseline_native_params[0] else None + p2_u_s_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[0] else None + p3_n_s_arr = np.empty(n_signals, dtype=float) if baseline_native_params[1] else None + p3_u_s_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[1] else None + def residuals(pars): if tm_value is None: Tm = pars["Tm"].value @@ -1290,29 +1420,39 @@ def residuals(pars): m0 = pars["m0"].value m1 = pars["m1"].value if fit_m1 else 0 - intercepts_folded = np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]) - intercepts_unfolded = np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]) + # Extract per-dataset intercepts efficiently + for j in range(n_datasets): + intercepts_folded_arr[j] = pars[p1N_names[j]].value + intercepts_unfolded_arr[j] = pars[p1U_names[j]].value - # Shared slopes / coefficients per signal type + # Extract shared slopes / coefficients per signal type if baseline_native_params[0]: - p2_n_s = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p2_n_s_arr[j] = pars[p2N_names[j]].value + p2_n_s = p2_n_s_arr else: - p2_n_s = np.zeros(n_signals) + p2_n_s = 0.0 if baseline_unfolded_params[0]: - p2_u_s = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p2_u_s_arr[j] = pars[p2U_names[j]].value + p2_u_s = p2_u_s_arr else: - p2_u_s = np.zeros(n_signals) + p2_u_s = 0.0 if baseline_native_params[1]: - p3_n_s = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3_n_s_arr[j] = pars[p3N_names[j]].value + p3_n_s = p3_n_s_arr else: - p3_n_s = np.zeros(n_signals) + p3_n_s = 0.0 if baseline_unfolded_params[1]: - p3_u_s = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3_u_s_arr[j] = pars[p3U_names[j]].value + p3_u_s = p3_u_s_arr else: - p3_u_s = np.zeros(n_signals) + p3_u_s = 0.0 # Vectorized evaluation for all datasets predicted_all = np.zeros_like(all_signal) @@ -1324,8 +1464,8 @@ def residuals(pars): predicted_all[start:end] = signal_fx( T, d, DHm, Tm, Cp0, m0, m1, - 0, intercepts_folded[i], p2_n_s[sig_id], p3_n_s[sig_id], - 0, intercepts_unfolded[i], p2_u_s[sig_id], p3_u_s[sig_id], + 0, intercepts_folded_arr[i], p2_n_s[sig_id] if baseline_native_params[0] else 0.0, p3_n_s[sig_id] if baseline_native_params[1] else 0.0, + 0, intercepts_unfolded_arr[i], p2_u_s[sig_id] if baseline_unfolded_params[0] else 0.0, p3_u_s[sig_id] if baseline_unfolded_params[1] else 0.0, baseline_native_fx, baseline_unfolded_fx, c @@ -1480,6 +1620,24 @@ def add_param(name, value, pmin, pmax): add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) i += n_signals + # ------------------------------------------------------------ + # Pre-cache parameter names for faster access + # ------------------------------------------------------------ + p1N_names = tuple(f"p1N_{j}" for j in range(n_datasets)) + p1U_names = tuple(f"p1U_{j}" for j in range(n_datasets)) + p2N_names = tuple(f"p2N_{j}" for j in range(n_signals)) if baseline_native_params[0] else None + p2U_names = tuple(f"p2U_{j}" for j in range(n_signals)) if baseline_unfolded_params[0] else None + p3N_names = tuple(f"p3N_{j}" for j in range(n_signals)) if baseline_native_params[1] else None + p3U_names = tuple(f"p3U_{j}" for j in range(n_signals)) if baseline_unfolded_params[1] else None + + # Pre-allocate arrays + intercepts_folded_arr = np.empty(n_datasets, dtype=float) + intercepts_unfolded_arr = np.empty(n_datasets, dtype=float) + p2_n_s_arr = np.empty(n_signals, dtype=float) if baseline_native_params[0] else None + p2_u_s_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[0] else None + p3_n_s_arr = np.empty(n_signals, dtype=float) if baseline_native_params[1] else None + p3_u_s_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[1] else None + def residuals(pars): if tm_value is None: Tm = pars["Tm"].value @@ -1496,28 +1654,39 @@ def residuals(pars): else: Cp0 = cp_value - intercepts_folded = np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]) - intercepts_unfolded = np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]) + # Extract per-dataset intercepts efficiently + for j in range(n_datasets): + intercepts_folded_arr[j] = pars[p1N_names[j]].value + intercepts_unfolded_arr[j] = pars[p1U_names[j]].value + # Extract shared slopes / coefficients per signal type if baseline_native_params[0]: - p2_n_s = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p2_n_s_arr[j] = pars[p2N_names[j]].value + p2_n_s = p2_n_s_arr else: - p2_n_s = np.zeros(n_signals) + p2_n_s = 0.0 if baseline_unfolded_params[0]: - p2_u_s = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p2_u_s_arr[j] = pars[p2U_names[j]].value + p2_u_s = p2_u_s_arr else: - p2_u_s = np.zeros(n_signals) + p2_u_s = 0.0 if baseline_native_params[1]: - p3_n_s = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3_n_s_arr[j] = pars[p3N_names[j]].value + p3_n_s = p3_n_s_arr else: - p3_n_s = np.zeros(n_signals) + p3_n_s = 0.0 if baseline_unfolded_params[1]: - p3_u_s = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3_u_s_arr[j] = pars[p3U_names[j]].value + p3_u_s = p3_u_s_arr else: - p3_u_s = np.zeros(n_signals) + p3_u_s = 0.0 # Vectorized evaluation for all datasets predicted_all = np.zeros_like(all_signal) @@ -1528,8 +1697,8 @@ def residuals(pars): predicted_all[start:end] = signal_fx( T, c, Tm, DHm, - 0, intercepts_folded[i], p2_n_s[sig_id], p3_n_s[sig_id], - 0, intercepts_unfolded[i], p2_u_s[sig_id], p3_u_s[sig_id], + intercepts_folded_arr[i], p2_n_s[sig_id] if baseline_native_params[0] else 0.0, p3_n_s[sig_id] if baseline_native_params[1] else 0.0, + intercepts_unfolded_arr[i], p2_u_s[sig_id] if baseline_unfolded_params[0] else 0.0, p3_u_s[sig_id] if baseline_unfolded_params[1] else 0.0, baseline_native_fx, baseline_unfolded_fx, Cp0 @@ -1715,6 +1884,26 @@ def add_param(name, value, pmin, pmax): add_param(f"p3U_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) i += n_signals + # ------------------------------------------------------------ + # Pre-cache parameter names for faster access + # ------------------------------------------------------------ + p1N_names = tuple(f"p1N_{j}" for j in range(n_datasets)) + p1U_names = tuple(f"p1U_{j}" for j in range(n_datasets)) + bI_names = tuple(f"bI_{j}" for j in range(n_datasets)) + p2N_names = tuple(f"p2N_{j}" for j in range(n_signals)) if baseline_native_params[0] else None + p2U_names = tuple(f"p2U_{j}" for j in range(n_signals)) if baseline_unfolded_params[0] else None + p3N_names = tuple(f"p3N_{j}" for j in range(n_signals)) if baseline_native_params[1] else None + p3U_names = tuple(f"p3U_{j}" for j in range(n_signals)) if baseline_unfolded_params[1] else None + + # Pre-allocate arrays + intercepts_folded_arr = np.empty(n_datasets, dtype=float) + intercepts_unfolded_arr = np.empty(n_datasets, dtype=float) + intercepts_intermediates_arr = np.empty(n_datasets, dtype=float) + p2_n_s_arr = np.empty(n_signals, dtype=float) if baseline_native_params[0] else None + p2_u_s_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[0] else None + p3_n_s_arr = np.empty(n_signals, dtype=float) if baseline_native_params[1] else None + p3_u_s_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[1] else None + def residuals(pars): """ Calculate the thermal unfolding profile of many curves at the same time @@ -1756,29 +1945,40 @@ def residuals(pars): Cp1 = 0.0 CpTh = 0.0 - intercepts_folded = np.array([pars[f"p1N_{j}"].value for j in range(n_datasets)]) - intercepts_unfolded = np.array([pars[f"p1U_{j}"].value for j in range(n_datasets)]) - intercepts_intermediates = np.array([pars[f"bI_{j}"].value for j in range(n_datasets)]) + # Extract per-dataset intercepts efficiently + for j in range(n_datasets): + intercepts_folded_arr[j] = pars[p1N_names[j]].value + intercepts_unfolded_arr[j] = pars[p1U_names[j]].value + intercepts_intermediates_arr[j] = pars[bI_names[j]].value + # Extract shared slopes / coefficients per signal type if baseline_native_params[0]: - p2_n_s = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p2_n_s_arr[j] = pars[p2N_names[j]].value + p2_n_s = p2_n_s_arr else: - p2_n_s = np.zeros(n_signals) + p2_n_s = 0.0 if baseline_unfolded_params[0]: - p2_u_s = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p2_u_s_arr[j] = pars[p2U_names[j]].value + p2_u_s = p2_u_s_arr else: - p2_u_s = np.zeros(n_signals) + p2_u_s = 0.0 if baseline_native_params[1]: - p3_n_s = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3_n_s_arr[j] = pars[p3N_names[j]].value + p3_n_s = p3_n_s_arr else: - p3_n_s = np.zeros(n_signals) + p3_n_s = 0.0 if baseline_unfolded_params[1]: - p3_u_s = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3_u_s_arr[j] = pars[p3U_names[j]].value + p3_u_s = p3_u_s_arr else: - p3_u_s = np.zeros(n_signals) + p3_u_s = 0.0 # Vectorized evaluation for all datasets predicted_all = np.zeros_like(all_signal) @@ -1789,11 +1989,11 @@ def residuals(pars): predicted_all[start:end] = signal_fx( T, c, Tm1, DHm1, Tm2, DHm2, - 0, intercepts_folded[i], p2_n_s[sig_id], p3_n_s[sig_id], - 0, intercepts_unfolded[i], p2_u_s[sig_id], p3_u_s[sig_id], + intercepts_folded_arr[i], p2_n_s[sig_id] if baseline_native_params[0] else 0.0, p3_n_s[sig_id] if baseline_native_params[1] else 0.0, + intercepts_unfolded_arr[i], p2_u_s[sig_id] if baseline_unfolded_params[0] else 0.0, p3_u_s[sig_id] if baseline_unfolded_params[1] else 0.0, baseline_native_fx, baseline_unfolded_fx, - intercepts_intermediates[i], + intercepts_intermediates_arr[i], Cp1, CpTh, ) @@ -1973,6 +2173,28 @@ def add_param(name, value, pmin, pmax): add_param(f"sf_{k}", initial_parameters[i], low_bounds[i], high_bounds[i]) i += 1 + # ------------------------------------------------------------ + # Pre-cache parameter names for faster access + # ------------------------------------------------------------ + p2N_names = tuple(f"p2N_{j}" for j in range(n_signals)) + p2U_names = tuple(f"p2U_{j}" for j in range(n_signals)) + p3N_names = tuple(f"p3N_{j}" for j in range(n_signals)) if baseline_native_params[1] else None + p3U_names = tuple(f"p3U_{j}" for j in range(n_signals)) if baseline_unfolded_params[1] else None + p1N_names = tuple(f"p1N_{j}" for j in range(n_signals)) if baseline_native_params[0] else None + p1U_names = tuple(f"p1U_{j}" for j in range(n_signals)) if baseline_unfolded_params[0] else None + p4N_names = tuple(f"p4N_{j}" for j in range(n_signals)) if baseline_native_params[2] else None + p4U_names = tuple(f"p4U_{j}" for j in range(n_signals)) if baseline_unfolded_params[2] else None + + # Pre-allocate arrays + p2N_arr = np.empty(n_signals, dtype=float) + p2U_arr = np.empty(n_signals, dtype=float) + p3N_arr = np.empty(n_signals, dtype=float) if baseline_native_params[1] else None + p3U_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[1] else None + p1N_arr = np.empty(n_signals, dtype=float) if baseline_native_params[0] else None + p1U_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[0] else None + p4N_arr = np.empty(n_signals, dtype=float) if baseline_native_params[2] else None + p4U_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[2] else None + def model(pars): Tm = pars["Tm"].value DHm = pars["DHm"].value @@ -1980,38 +2202,54 @@ def model(pars): m0 = pars["m0"].value m1 = pars["m1"].value if fit_m1 else 0 - p2_Ns = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) - p2_Us = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) + # Extract per-signal parameters efficiently + for j in range(n_signals): + p2N_arr[j] = pars[p2N_names[j]].value + p2U_arr[j] = pars[p2U_names[j]].value + p2_Ns = p2N_arr + p2_Us = p2U_arr if baseline_native_params[1]: - p3_Ns = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3N_arr[j] = pars[p3N_names[j]].value + p3_Ns = p3N_arr else: - p3_Ns = np.zeros(n_signals) + p3_Ns = 0.0 if baseline_unfolded_params[1]: - p3_Us = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3U_arr[j] = pars[p3U_names[j]].value + p3_Us = p3U_arr else: - p3_Us = np.zeros(n_signals) + p3_Us = 0.0 if baseline_native_params[0]: - p1_Ns = np.array([pars[f"p1N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p1N_arr[j] = pars[p1N_names[j]].value + p1_Ns = p1N_arr else: - p1_Ns = np.zeros(n_signals) + p1_Ns = 0.0 if baseline_unfolded_params[0]: - p1_Us = np.array([pars[f"p1U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p1U_arr[j] = pars[p1U_names[j]].value + p1_Us = p1U_arr else: - p1_Us = np.zeros(n_signals) + p1_Us = 0.0 if baseline_native_params[2]: - p4_Ns = np.array([pars[f"p4N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p4N_arr[j] = pars[p4N_names[j]].value + p4_Ns = p4N_arr else: - p4_Ns = np.zeros(n_signals) + p4_Ns = 0.0 if baseline_unfolded_params[2]: - p4_Us = np.array([pars[f"p4U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p4U_arr[j] = pars[p4U_names[j]].value + p4_Us = p4U_arr else: - p4_Us = np.zeros(n_signals) + p4_Us = 0.0 if model_scale_factor: sf = np.ones(nr_den) @@ -2023,14 +2261,15 @@ def model(pars): signal = [] for idx, T in enumerate(list_of_temperatures): - p1_N = p1_Ns[signal_ids[idx]] - p1_U = p1_Us[signal_ids[idx]] - p2_N = p2_Ns[signal_ids[idx]] - p2_U = p2_Us[signal_ids[idx]] - p3_N = p3_Ns[signal_ids[idx]] - p3_U = p3_Us[signal_ids[idx]] - p4_N = p4_Ns[signal_ids[idx]] - p4_U = p4_Us[signal_ids[idx]] + sig_id = signal_ids[idx] + p1_N = p1_Ns[sig_id] if baseline_native_params[0] else 0 + p1_U = p1_Us[sig_id] if baseline_unfolded_params[0] else 0 + p2_N = p2_Ns[sig_id] + p2_U = p2_Us[sig_id] + p3_N = p3_Ns[sig_id] if baseline_native_params[1] else 0 + p3_U = p3_Us[sig_id] if baseline_unfolded_params[1] else 0 + p4_N = p4_Ns[sig_id] if baseline_native_params[2] else 0 + p4_U = p4_Us[sig_id] if baseline_unfolded_params[2] else 0 d = denaturant_concentrations[idx] c = 0 @@ -2200,6 +2439,24 @@ def add_param(name, value, pmin, pmax): add_param(f"sf_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) i += n_fit_factors + # ------------------------------------------------------------ + # Pre-cache parameter names for faster access + # ------------------------------------------------------------ + p1N_names = tuple(f"p1N_{j}" for j in range(n_signals)) + p1U_names = tuple(f"p1U_{j}" for j in range(n_signals)) + p2N_names = tuple(f"p2N_{j}" for j in range(n_signals)) if baseline_native_params[0] else None + p2U_names = tuple(f"p2U_{j}" for j in range(n_signals)) if baseline_unfolded_params[0] else None + p3N_names = tuple(f"p3N_{j}" for j in range(n_signals)) if baseline_native_params[1] else None + p3U_names = tuple(f"p3U_{j}" for j in range(n_signals)) if baseline_unfolded_params[1] else None + + # Pre-allocate arrays + p1N_arr = np.empty(n_signals, dtype=float) + p1U_arr = np.empty(n_signals, dtype=float) + p2N_arr = np.empty(n_signals, dtype=float) if baseline_native_params[0] else None + p2U_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[0] else None + p3N_arr = np.empty(n_signals, dtype=float) if baseline_native_params[1] else None + p3U_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[1] else None + def model(pars): """ @@ -2225,28 +2482,40 @@ def model(pars): else: Cp0 = cp_value - p1_Ns = np.array([pars[f"p1N_{j}"].value for j in range(n_signals)]) - p1_Us = np.array([pars[f"p1U_{j}"].value for j in range(n_signals)]) + # Extract per-signal parameters efficiently + for j in range(n_signals): + p1N_arr[j] = pars[p1N_names[j]].value + p1U_arr[j] = pars[p1U_names[j]].value + p1_Ns = p1N_arr + p1_Us = p1U_arr if baseline_native_params[0]: - p2_Ns = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p2N_arr[j] = pars[p2N_names[j]].value + p2_Ns = p2N_arr else: - p2_Ns = np.zeros(n_signals) + p2_Ns = 0.0 if baseline_unfolded_params[0]: - p2_Us = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p2U_arr[j] = pars[p2U_names[j]].value + p2_Us = p2U_arr else: - p2_Us = np.zeros(n_signals) + p2_Us = 0.0 if baseline_native_params[1]: - p3_Ns = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3N_arr[j] = pars[p3N_names[j]].value + p3_Ns = p3N_arr else: - p3_Ns = np.zeros(n_signals) + p3_Ns = 0.0 if baseline_unfolded_params[1]: - p3_Us = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3U_arr[j] = pars[p3U_names[j]].value + p3_Us = p3U_arr else: - p3_Us = np.zeros(n_signals) + p3_Us = 0.0 if model_scale_factor: n_fit_factors = nr_olig - len(scale_factor_exclude_ids) @@ -2258,21 +2527,21 @@ def model(pars): signal = [] for i, T in enumerate(list_of_temperatures): - - p1_N = p1_Ns[signal_ids[i]] - p1_U = p1_Us[signal_ids[i]] - p2_N = p2_Ns[signal_ids[i]] - p2_U = p2_Us[signal_ids[i]] - p3_N = p3_Ns[signal_ids[i]] - p3_U = p3_Us[signal_ids[i]] + sig_id = signal_ids[i] + p1_N = p1_Ns[sig_id] + p1_U = p1_Us[sig_id] + p2_N = p2_Ns[sig_id] if baseline_native_params[0] else 0 + p2_U = p2_Us[sig_id] if baseline_unfolded_params[0] else 0 + p3_N = p3_Ns[sig_id] if baseline_native_params[1] else 0 + p3_U = p3_Us[sig_id] if baseline_unfolded_params[1] else 0 c = oligomer_concentrations[i] y = signal_fx( T, c, Tm, DHm, - 0, p1_N, p2_N, p3_N, - 0, p1_U, p2_U, p3_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_native_fx, baseline_unfolded_fx, Cp0 @@ -2447,6 +2716,26 @@ def add_param(name, value, pmin, pmax): add_param(f"sf_{j}", initial_parameters[i + j], low_bounds[i + j], high_bounds[i + j]) i += n_fit_factors + # ------------------------------------------------------------ + # Pre-cache parameter names for faster access + # ------------------------------------------------------------ + p1N_names = tuple(f"p1N_{j}" for j in range(n_signals)) + p1U_names = tuple(f"p1U_{j}" for j in range(n_signals)) + bI_names = tuple(f"bI_{j}" for j in range(n_signals)) + p2N_names = tuple(f"p2N_{j}" for j in range(n_signals)) if baseline_native_params[0] else None + p2U_names = tuple(f"p2U_{j}" for j in range(n_signals)) if baseline_unfolded_params[0] else None + p3N_names = tuple(f"p3N_{j}" for j in range(n_signals)) if baseline_native_params[1] else None + p3U_names = tuple(f"p3U_{j}" for j in range(n_signals)) if baseline_unfolded_params[1] else None + + # Pre-allocate arrays + p1N_arr = np.empty(n_signals, dtype=float) + p1U_arr = np.empty(n_signals, dtype=float) + bI_arr = np.empty(n_signals, dtype=float) + p2N_arr = np.empty(n_signals, dtype=float) if baseline_native_params[0] else None + p2U_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[0] else None + p3N_arr = np.empty(n_signals, dtype=float) if baseline_native_params[1] else None + p3U_arr = np.empty(n_signals, dtype=float) if baseline_unfolded_params[1] else None + def model(pars): """ @@ -2489,29 +2778,42 @@ def model(pars): Cp1 = 0.0 CpTh = 0.0 - p1_Ns = np.array([pars[f"p1N_{j}"].value for j in range(n_signals)]) - p1_Us = np.array([pars[f"p1U_{j}"].value for j in range(n_signals)]) - intercepts_intermediates = np.array([pars[f"bI_{j}"].value for j in range(n_signals)]) + # Extract per-signal parameters efficiently + for j in range(n_signals): + p1N_arr[j] = pars[p1N_names[j]].value + p1U_arr[j] = pars[p1U_names[j]].value + bI_arr[j] = pars[bI_names[j]].value + p1_Ns = p1N_arr + p1_Us = p1U_arr + intercepts_intermediates = bI_arr if baseline_native_params[0]: - p2_Ns = np.array([pars[f"p2N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p2N_arr[j] = pars[p2N_names[j]].value + p2_Ns = p2N_arr else: - p2_Ns = np.zeros(n_signals) + p2_Ns = 0.0 if baseline_unfolded_params[0]: - p2_Us = np.array([pars[f"p2U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p2U_arr[j] = pars[p2U_names[j]].value + p2_Us = p2U_arr else: - p2_Us = np.zeros(n_signals) + p2_Us = 0.0 if baseline_native_params[1]: - p3_Ns = np.array([pars[f"p3N_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3N_arr[j] = pars[p3N_names[j]].value + p3_Ns = p3N_arr else: - p3_Ns = np.zeros(n_signals) + p3_Ns = 0.0 if baseline_unfolded_params[1]: - p3_Us = np.array([pars[f"p3U_{j}"].value for j in range(n_signals)]) + for j in range(n_signals): + p3U_arr[j] = pars[p3U_names[j]].value + p3_Us = p3U_arr else: - p3_Us = np.zeros(n_signals) + p3_Us = 0.0 if model_scale_factor: n_fit_factors = nr_olig - len(scale_factor_exclude_ids) @@ -2523,26 +2825,26 @@ def model(pars): signal = [] for i, T in enumerate(list_of_temperatures): - - p1_N = p1_Ns[signal_ids[i]] - p1_U = p1_Us[signal_ids[i]] - intercepts_intermediate = intercepts_intermediates[signal_ids[i]] - p2_N = p2_Ns[signal_ids[i]] - p2_U = p2_Us[signal_ids[i]] - p3_N = p3_Ns[signal_ids[i]] - p3_U = p3_Us[signal_ids[i]] + sig_id = signal_ids[i] + p1_N = p1_Ns[sig_id] + p1_U = p1_Us[sig_id] + intercepts_intermediate = intercepts_intermediates[sig_id] + p2_N = p2_Ns[sig_id] if baseline_native_params[0] else 0 + p2_U = p2_Us[sig_id] if baseline_unfolded_params[0] else 0 + p3_N = p3_Ns[sig_id] if baseline_native_params[1] else 0 + p3_U = p3_Us[sig_id] if baseline_unfolded_params[1] else 0 c = oligomer_concentrations[i] y = signal_fx( T, c, Tm1, DHm1, Tm2, DHm2, - 0, p1_N, p2_N, p3_N, - 0, p1_U, p2_U, p3_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_native_fx, baseline_unfolded_fx, intercepts_intermediate, - Cp1,CpTh, + Cp1, CpTh, ) scale_factor = 1 if not model_scale_factor else factors[i] diff --git a/src/pychemelt/utils/fractions.py b/src/pychemelt/utils/fractions.py index e7da0f4..3de7475 100644 --- a/src/pychemelt/utils/fractions.py +++ b/src/pychemelt/utils/fractions.py @@ -99,27 +99,31 @@ def fu_two_state_tetramer(K,C): Fraction of unfolded protein ''' - A = 1 - D = K/256/np.power(C,3) + C_cubed = np.power(C, 3) + D = K / 256 / C_cubed E = -D - b = D/A - c = E/A + b = D # A = 1, so b = D/A = D + c = E # c = E/A = E P = -c - Q = -np.square(b)/8 + b_sq = np.square(b) + Q = -b_sq / 8 - R = -Q/2 + np.sqrt(np.square(Q)/4+P**3/27) + Q_sq = np.square(Q) + P_cubed = np.power(P, 3) + R = -Q / 2 + np.sqrt(Q_sq / 4 + P_cubed / 27) U = np.cbrt(R) - y = U-P/(3*U) - W = np.sqrt(2*y) + y = U - P / (3 * U) + W = np.sqrt(2 * y) - x4 = 0.5*(-W+np.sqrt(-(2*y-2*b/W))) + two_y = 2 * y + x4 = 0.5 * (-W + np.sqrt(-(two_y - 2 * b / W))) - x4_sel = np.logical_and(np.greater(x4,0),np.less(x4,1.01)) + x4_sel = np.logical_and(np.greater(x4, 0), np.less(x4, 1.01)) - fu = x4_sel*np.nan_to_num(x4,nan=0.0) + fu = x4_sel * np.nan_to_num(x4, nan=0.0) return fu @@ -129,9 +133,10 @@ def fi_three_state_tetramer_monomeric_intermediate(K1,K2,Ct): and the concentration of tetramer equivalent Ct, return the fraction of intermediate ''' - Pt = Ct*4 + Pt = Ct * 4 + Pt_cubed = np.power(Pt, 3) - A = 4 * (Pt ** 3) / K1 + A = 4 * Pt_cubed / K1 D = 1 + K2 E = -1 @@ -139,15 +144,19 @@ def fi_three_state_tetramer_monomeric_intermediate(K1,K2,Ct): c = E / A P = -c - Q = -np.square(b) / 8 + b_sq = np.square(b) + Q = -b_sq / 8 - R = -Q / 2 + np.sqrt(np.square(Q) / 4 + P ** 3 / 27) + Q_sq = np.square(Q) + P_cubed = np.power(P, 3) + R = -Q / 2 + np.sqrt(Q_sq / 4 + P_cubed / 27) U = np.cbrt(R) y = U - P / (3 * U) W = np.sqrt(2 * y) - x4 = 0.5 * (-W + np.sqrt(-(2 * y - 2 * b / W))) + two_y = 2 * y + x4 = 0.5 * (-W + np.sqrt(-(two_y - 2 * b / W))) x4_sel = np.logical_and(np.logical_and(np.greater(x4, 0), np.less(x4, 1.01)), np.less(W, 1e10)) @@ -201,4 +210,4 @@ def fi_three_state_trimer_trimeric_intermediate(fu,K2,C): Given the fraction of unfolded protein fu, the equilibrium constant K2, of I3 <-> 3U, and the concentration of trimer equivalent C, return the fraction of intermediate ''' - return 27*np.square(C)*(fu**3) / K2 \ No newline at end of file + return 27*np.square(C)*(np.power(fu, 3)) / K2 \ No newline at end of file diff --git a/src/pychemelt/utils/math.py b/src/pychemelt/utils/math.py index d45876a..9c581c2 100644 --- a/src/pychemelt/utils/math.py +++ b/src/pychemelt/utils/math.py @@ -17,6 +17,10 @@ "linear_baseline", "quadratic_baseline", "exponential_baseline", + "constant_baseline_only_temp", + "linear_baseline_only_temp", + "quadratic_baseline_only_temp", + "exponential_baseline_only_temp", "is_evenly_spaced", "first_derivative_savgol", "relative_errors", @@ -196,6 +200,96 @@ def exponential_baseline(dt,d,den_slope,a,c,alpha): return a + c * np.exp(-alpha * dt) + den_slope * d +def constant_baseline_only_temp(dt,a,*args): + + """ + Baseline function with no dependence on temperature or denaturant concentration + + Parameters + ---------- + dt : float + delta temperature, not used here but required for compatibility with other baseline functions + a : float + intercept of the baseline + + Returns + ------ + float + Baseline signal + """ + + return a + +def linear_baseline_only_temp(dt,a,b,*args): + + """ + Baseline function with linear dependence on temperature and no dependence on denaturant concentration + + Parameters + ---------- + dt : float + delta temperature + a : float + intercept of the baseline + b : float + linear dependence of signal on temperature + + Returns + ------ + float + Baseline signal + """ + + return a + b*dt + +def quadratic_baseline_only_temp(dt,a,b,c): + + """ + Baseline function with quadratic dependence on temperature and no dependence on denaturant concentration + + Parameters + ---------- + dt : float + delta temperature + a : float + intercept of the baseline + b : float + linear dependence of signal on temperature + c : float + quadratic dependence of signal on temperature + + Returns + ------ + float + Baseline signal + """ + + return a + b*dt + c*dt**2 + +def exponential_baseline_only_temp(dt,a,c,alpha): + + """ + Baseline function with exponential dependence on temperature and no dependence on denaturant concentration + + Parameters + ---------- + dt : float + delta temperature + a : float + intercept of the baseline + c : float + pre-exponential factor for the dependence on temperature + alpha : float + exponential coefficient for the dependence on temperature + + Returns + ------ + float + Baseline signal + """ + + return a + c * np.exp(-alpha * dt) + def is_evenly_spaced(x, tol = 1e-4): """ Check if x is evenly spaced within a given tolerance. diff --git a/src/pychemelt/utils/signals.py b/src/pychemelt/utils/signals.py index 3a78e69..5cf1a04 100644 --- a/src/pychemelt/utils/signals.py +++ b/src/pychemelt/utils/signals.py @@ -137,8 +137,8 @@ def signal_two_state_t_unfolding( def two_state_thermal_unfold_curve( T,C,Tm,dHm, - p1_N, p2_N, p3_N, p4_N, - p1_U, p2_U, p3_U, p4_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_N_fx, baseline_U_fx, Cp=0): @@ -152,7 +152,7 @@ def two_state_thermal_unfold_curve( T : array-like Temperature C : array-like - Oligomer sample concentration + Oligomer sample concentration - only for compatibility with oligomeric models, not used in the monomeric model Tm : float Temperature at which the equilibrium constant equals one dHm : float @@ -180,15 +180,15 @@ def two_state_thermal_unfold_curve( dT = shift_temperature_K(T) - S_native = baseline_N_fx(dT,0,0,p2_N,p3_N,p4_N) - S_unfolded = baseline_U_fx(dT,0,0,p2_U,p3_U,p4_U) + S_native = baseline_N_fx(dT, p1_N, p2_N, p3_N) + S_unfolded = baseline_U_fx(dT, p1_U, p2_U, p3_U) return C * (fn * (S_native) + fu * (S_unfolded)) def two_state_thermal_unfold_curve_dimer( T,C,Tm,dHm, - p1_N, p2_N, p3_N, p4_N, - p1_U, p2_U, p3_U, p4_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_N_fx, baseline_U_fx, Cp=0): @@ -235,15 +235,15 @@ def two_state_thermal_unfold_curve_dimer( dT = shift_temperature_K(T) - S_native = baseline_N_fx(dT,0,0,p2_N,p3_N,p4_N) - S_unfolded = baseline_U_fx(dT,0,0,p2_U,p3_U,p4_U) + S_native = baseline_N_fx(dT,p1_N,p2_N,p3_N) + S_unfolded = baseline_U_fx(dT,p1_U,p2_U,p3_U) return C * (fn * (S_native) + fu * (S_unfolded) * 2) def two_state_thermal_unfold_curve_trimer( T,C,Tm,dHm, - p1_N, p2_N, p3_N, p4_N, - p1_U, p2_U, p3_U, p4_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_N_fx, baseline_U_fx, Cp=0): @@ -290,15 +290,15 @@ def two_state_thermal_unfold_curve_trimer( dT = shift_temperature_K(T) - S_native = baseline_N_fx(dT,0,0,p2_N,p3_N,p4_N) - S_unfolded = baseline_U_fx(dT,0,0,p2_U,p3_U,p4_U) + S_native = baseline_N_fx(dT,p1_N,p2_N,p3_N) + S_unfolded = baseline_U_fx(dT,p1_U,p2_U,p3_U) return C * (fn * (S_native) + fu * (S_unfolded) * 3) def two_state_thermal_unfold_curve_tetramer( T,C,Tm,dHm, - p1_N, p2_N, p3_N, p4_N, - p1_U, p2_U, p3_U, p4_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_N_fx, baseline_U_fx, Cp=0, @@ -347,8 +347,8 @@ def two_state_thermal_unfold_curve_tetramer( dT = shift_temperature_K(T) - S_native = baseline_N_fx(dT,0,0,p2_N,p3_N,p4_N) - S_unfolded = baseline_U_fx(dT,0,0,p2_U,p3_U,p4_U) + S_native = baseline_N_fx(dT,p1_N,p2_N,p3_N) + S_unfolded = baseline_U_fx(dT,p1_U,p2_U,p3_U) return C * (fn * (S_native) + fu * (S_unfolded) * 4) @@ -382,8 +382,8 @@ def map_two_state_model_to_signal_fx(model): def unfolding_curve_monomer_monomeric_intermediate( T, C, T1, DH1, T2, DH2, - p1_N, p2_N, p3_N, p4_N, - p1_U, p2_U, p3_U, p4_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_N_fx, baseline_U_fx, bI, @@ -401,16 +401,16 @@ def unfolding_curve_monomer_monomeric_intermediate( dT = shift_temperature_K(T) - S_native = baseline_N_fx(dT,0,0,p2_N,p3_N,p4_N) - S_unfolded = baseline_U_fx(dT,0,0,p2_U,p3_U,p4_U) + S_native = baseline_N_fx(dT,p1_N,p2_N,p3_N) + S_unfolded = baseline_U_fx(dT,p1_U,p2_U,p3_U) return C * (xN * S_native + xI * bI + xU * S_unfolded) def unfolding_curve_dimer_monomeric_intermediate( T, C, T1, DH1, T2, DH2, - p1_N, p2_N, p3_N, p4_N, - p1_U, p2_U, p3_U, p4_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_N_fx, baseline_U_fx, bI, @@ -429,16 +429,16 @@ def unfolding_curve_dimer_monomeric_intermediate( dT = shift_temperature_K(T) - S_native = baseline_N_fx(dT,0,0,p2_N,p3_N,p4_N) - S_unfolded = baseline_U_fx(dT,0,0,p2_U,p3_U,p4_U) + S_native = baseline_N_fx(dT,p1_N,p2_N,p3_N) + S_unfolded = baseline_U_fx(dT,p1_U,p2_U,p3_U) return C * ((1 - fu - fi) * S_native + fi * bI * 2 + fu * S_unfolded * 2) def unfolding_curve_trimer_monomeric_intermediate( T, C, T1, DH1, T2, DH2, - p1_N, p2_N, p3_N, p4_N, - p1_U, p2_U, p3_U, p4_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_N_fx, baseline_U_fx, bI, @@ -458,16 +458,16 @@ def unfolding_curve_trimer_monomeric_intermediate( dT = shift_temperature_K(T) - S_native = baseline_N_fx(dT,0,0,p2_N,p3_N,p4_N) - S_unfolded = baseline_U_fx(dT,0,0,p2_U,p3_U,p4_U) + S_native = baseline_N_fx(dT,p1_N,p2_N,p3_N) + S_unfolded = baseline_U_fx(dT,p1_U,p2_U,p3_U) return C * (fn * S_native + fi * bI * 3 + fu * S_unfolded * 3) def unfolding_curve_tetramer_monomeric_intermediate( T, C, T1, DH1, T2, DH2, - p1_N, p2_N, p3_N, p4_N, - p1_U, p2_U, p3_U, p4_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_N_fx, baseline_U_fx, bI, @@ -492,16 +492,16 @@ def unfolding_curve_tetramer_monomeric_intermediate( dT = shift_temperature_K(T) - S_native = baseline_N_fx(dT,0,0,p2_N,p3_N,p4_N) - S_unfolded = baseline_U_fx(dT,0,0,p2_U,p3_U,p4_U) + S_native = baseline_N_fx(dT,p1_N,p2_N,p3_N) + S_unfolded = baseline_U_fx(dT,p1_U,p2_U,p3_U) return C * (fn * S_native + fi * bI * 4 + fu * S_unfolded * 4) def unfolding_curve_trimer_trimeric_intermediate( T, C, T1, DH1, T2, DH2, - p1_N, p2_N, p3_N, p4_N, - p1_U, p2_U, p3_U, p4_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_N_fx, baseline_U_fx, bI, @@ -519,16 +519,16 @@ def unfolding_curve_trimer_trimeric_intermediate( dT = shift_temperature_K(T) - S_native = baseline_N_fx(dT,0,0,p2_N,p3_N,p4_N) - S_unfolded = baseline_U_fx(dT,0,0,p2_U,p3_U,p4_U) + S_native = baseline_N_fx(dT,p1_N,p2_N,p3_N) + S_unfolded = baseline_U_fx(dT,p1_U,p2_U,p3_U) return C * ((1 - fu - fi) * S_native + fi * bI + fu * S_unfolded * 3) def unfolding_curve_dimer_dimeric_intermediate( T, C, T1, DH1, T2, DH2, - p1_N, p2_N, p3_N, p4_N, - p1_U, p2_U, p3_U, p4_U, + p1_N, p2_N, p3_N, + p1_U, p2_U, p3_U, baseline_N_fx, baseline_U_fx, bI, @@ -547,8 +547,8 @@ def unfolding_curve_dimer_dimeric_intermediate( dT = shift_temperature_K(T) - S_native = baseline_N_fx(dT,0,0,p2_N,p3_N,p4_N) - S_unfolded = baseline_U_fx(dT,0,0,p2_U,p3_U,p4_U) + S_native = baseline_N_fx(dT,p1_N,p2_N,p3_N) + S_unfolded = baseline_U_fx(dT,p1_U,p2_U,p3_U) return C * ((1 - fu - fi) * S_native + fi * bI + fu * S_unfolded * 2) diff --git a/tests/test_fitting_therm_oligo.py b/tests/test_fitting_therm_oligo.py index b22ae6f..9ec2128 100644 --- a/tests/test_fitting_therm_oligo.py +++ b/tests/test_fitting_therm_oligo.py @@ -12,8 +12,7 @@ fit_oligomer_unfolding_many_signals, ) -from pychemelt.utils.math import constant_baseline - +from pychemelt.utils.math import constant_baseline_only_temp as constant_baseline from pychemelt.utils.signals import ( map_two_state_model_to_signal_fx ) @@ -32,9 +31,7 @@ INTERCEPT_N = 50 -C_N_VAL = 0 INTERCEPT_U = 100 -C_U_VAL = 0 rng = np.random.default_rng(RNG_SEED) @@ -42,14 +39,12 @@ 'dHm': DHm_VAL, 'Tm': Tm_VAL+273.15, 'Cp': CP0_VAL, - 'p1_N': C_N_VAL, - 'p2_N': INTERCEPT_N, + 'p1_N': INTERCEPT_N, + 'p2_N': 0, 'p3_N': 0, - 'p4_N': 0, - 'p1_U': C_U_VAL, - 'p2_U': INTERCEPT_U, + 'p1_U': INTERCEPT_U, + 'p2_U': 0, 'p3_U': 0, - 'p4_U': 0, 'baseline_N_fx':constant_baseline, 'baseline_U_fx':constant_baseline, } diff --git a/tests/test_fitting_therm_oligo_2.py b/tests/test_fitting_therm_oligo_2.py index 960acfe..418aace 100644 --- a/tests/test_fitting_therm_oligo_2.py +++ b/tests/test_fitting_therm_oligo_2.py @@ -12,7 +12,7 @@ fit_oligomer_unfolding_many_signals, ) -from pychemelt.utils.math import exponential_baseline +from pychemelt.utils.math import exponential_baseline_only_temp from pychemelt.utils.signals import ( map_two_state_model_to_signal_fx @@ -45,16 +45,14 @@ 'dHm': DHm_VAL, 'Tm': Tm_VAL+273.15, 'Cp': CP0_VAL, - 'p1_N': C_N_VAL, - 'p2_N': INTERCEPT_N, - 'p3_N': PRE_EXP_N, - 'p4_N': ALPHA_N_VAL, - 'p1_U': C_U_VAL, - 'p2_U': INTERCEPT_U, - 'p3_U': PRE_EXP_U, - 'p4_U': ALPHA_U_VAL, - 'baseline_N_fx':exponential_baseline, - 'baseline_U_fx':exponential_baseline + 'p1_N': INTERCEPT_N, + 'p2_N': PRE_EXP_N, + 'p3_N': ALPHA_N_VAL, + 'p1_U': INTERCEPT_U, + 'p2_U': PRE_EXP_U, + 'p3_U': ALPHA_U_VAL, + 'baseline_N_fx':exponential_baseline_only_temp, + 'baseline_U_fx':exponential_baseline_only_temp } @@ -86,8 +84,8 @@ def test_fit_monomer_unfolding_single_slopes_exponential(): 'list_of_signals' : signal_list, 'oligomer_concentrations' : concs, 'signal_fx' : signal_fx, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp , + 'baseline_unfolded_fx':exponential_baseline_only_temp, } global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( @@ -123,8 +121,8 @@ def test_fit_dimer_unfolding_single_slopes_exponential(): 'list_of_signals' : signal_list, 'oligomer_concentrations' : concs, 'signal_fx' : signal_fx, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp, + 'baseline_unfolded_fx':exponential_baseline_only_temp, } global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( @@ -160,8 +158,8 @@ def test_fit_trimer_unfolding_single_slopes_exponential(): 'list_of_signals' : signal_list, 'oligomer_concentrations' : concs, 'signal_fx' : signal_fx, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp, + 'baseline_unfolded_fx':exponential_baseline_only_temp, } global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( @@ -197,8 +195,8 @@ def test_fit_tetramer_unfolding_single_slopes_exponential(): 'list_of_signals' : signal_list, 'oligomer_concentrations' : concs, 'signal_fx' : signal_fx, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp, + 'baseline_unfolded_fx':exponential_baseline_only_temp, } global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( @@ -237,8 +235,8 @@ def test_fit_monomer_unfolding_shared_slopes_many_signals_exponential(): 'list_of_signals' : signal_list, 'oligomer_concentrations' : concs, 'signal_fx' : signal_fx, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp, + 'baseline_unfolded_fx':exponential_baseline_only_temp, 'signal_ids' : [0 for _ in range(len(signal_list))], } @@ -314,8 +312,8 @@ def test_fit_dimer_unfolding_shared_slopes_many_signals_exponential(): 'list_of_signals' : signal_list, 'oligomer_concentrations' : concs, 'signal_fx' : signal_fx, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp, + 'baseline_unfolded_fx':exponential_baseline_only_temp, 'signal_ids' : [0 for _ in range(len(signal_list))], } @@ -353,8 +351,8 @@ def test_fit_trimer_unfolding_shared_slopes_many_signals_exponential(): 'list_of_signals' : signal_list, 'oligomer_concentrations' : concs, 'signal_fx' : signal_fx, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp, + 'baseline_unfolded_fx':exponential_baseline_only_temp, 'signal_ids' : [0 for _ in range(len(signal_list))], } @@ -391,8 +389,8 @@ def test_fit_tetramer_unfolding_shared_slopes_many_signals_exponential(): 'list_of_signals' : signal_list, 'oligomer_concentrations' : concs, 'signal_fx' : signal_fx, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp, + 'baseline_unfolded_fx':exponential_baseline_only_temp, 'signal_ids' : [0 for _ in range(len(signal_list))], } @@ -441,8 +439,8 @@ def test_fit_monomer_unfolding_many_signals_exponential(): 'signal_ids' : [0 for _ in range(len(signal_list))], 'model_scale_factor': False, 'cp_value' : CP0_VAL, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp, + 'baseline_unfolded_fx':exponential_baseline_only_temp, } global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( @@ -485,8 +483,8 @@ def test_fit_dimer_unfolding_many_signals_exponential(): 'signal_ids' : [0 for _ in range(len(signal_list))], 'model_scale_factor': False, 'cp_value' : CP0_VAL, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp, + 'baseline_unfolded_fx':exponential_baseline_only_temp, } global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( @@ -530,8 +528,8 @@ def test_fit_trimer_unfolding_many_signals_exponential(): 'signal_ids' : [0 for _ in range(len(signal_list))], 'model_scale_factor': False, 'cp_value' : CP0_VAL, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp, + 'baseline_unfolded_fx':exponential_baseline_only_temp, } global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( @@ -574,8 +572,8 @@ def test_fit_tetramer_unfolding_many_signals_exponential(): 'signal_ids' : [0 for _ in range(len(signal_list))], 'model_scale_factor': False, 'cp_value' : CP0_VAL, - 'baseline_native_fx':exponential_baseline, - 'baseline_unfolded_fx':exponential_baseline, + 'baseline_native_fx':exponential_baseline_only_temp, + 'baseline_unfolded_fx':exponential_baseline_only_temp, } global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_many_signals( diff --git a/tests/test_fitting_therm_oligo_Cp_value.py b/tests/test_fitting_therm_oligo_Cp_value.py index 2f7f36d..576a719 100644 --- a/tests/test_fitting_therm_oligo_Cp_value.py +++ b/tests/test_fitting_therm_oligo_Cp_value.py @@ -1,187 +1,6 @@ """ Module for testing fitting of thermal unfolding curves with different Cp values. """ -""" -import numpy as np -import pytest - -from pychemelt.utils.fitting import ( - fit_oligomer_unfolding_single_slopes, - fit_oligomer_unfolding_three_states_single_slopes, -) - -from pychemelt.utils.math import constant_baseline - -from pychemelt.utils.signals import ( - map_two_state_model_to_signal_fx, - map_three_state_model_to_signal_fx -) - -# Centralized test constants -RNG_SEED = 2 -TEMP_START = 20.0 -TEMP_STOP = 95.0 -N_TEMPS = 100 -CONCS = np.array([20, 50, 100]) * 1e-6 - -# Two-state ground-truth parameters -DHm_VAL = 200 -Tm_VAL = 65 -CP_TRUE = 2.5 - -# Three-state ground-truth parameters -DH1_VAL = 250 -DH2_VAL = 250 -T1_VAL = 45 -T2_VAL = 75 -CP1_TRUE = 0.5 -CPTH_TRUE = 1.5 - -INTERCEPT_N = 50 -INTERCEPT_I = 80 -INTERCEPT_U = 100 - -rng = np.random.default_rng(RNG_SEED) - -def get_two_state_data(model_name, cp_true): - signal_fx = map_two_state_model_to_signal_fx(model_name) - temp_range = np.linspace(TEMP_START, TEMP_STOP, N_TEMPS) - temp_range_K = temp_range + 273.15 - - params = { - 'dHm': DHm_VAL, - 'Tm': Tm_VAL + 273.15, - 'Cp': cp_true, - 'p1_N': 0, 'p2_N': INTERCEPT_N, 'p3_N': 0, 'p4_N': 0, - 'p1_U': 0, 'p2_U': INTERCEPT_U, 'p3_U': 0, 'p4_U': 0, - 'baseline_N_fx': constant_baseline, - 'baseline_U_fx': constant_baseline, - } - - signal_list = [] - temp_list = [] - for C in CONCS: - y = signal_fx(temp_range_K, C, **params) - #y += rng.normal(0, 0.002, len(y)) - signal_list.append(y) - temp_list.append(temp_range) - - return temp_list, signal_list, signal_fx - -def get_three_state_data(model_name, cp1_true, cp_th_true): - signal_fx = map_three_state_model_to_signal_fx(model_name) - temp_range = np.linspace(TEMP_START, TEMP_STOP, N_TEMPS) - temp_range_K = temp_range + 273.15 - - params = { - 'DH1': DH1_VAL, 'DH2': DH2_VAL, - 'T1': T1_VAL + 273.15, 'T2': T2_VAL + 273.15, - 'bI': INTERCEPT_I, - 'p1_N': 0, 'p2_N': INTERCEPT_N, 'p3_N': 0, 'p4_N': 0, - 'p1_U': 0, 'p2_U': INTERCEPT_U, 'p3_U': 0, 'p4_U': 0, - 'baseline_N_fx': constant_baseline, - 'baseline_U_fx': constant_baseline, - 'Cp1': cp1_true, - 'CpTh': cp_th_true, - } - - signal_list = [] - temp_list = [] - for C in CONCS: - y = signal_fx(temp_range_K, C, **params) - #y += rng.normal(0, 0.002, len(y)) - signal_list.append(y) - temp_list.append(temp_range) - - return temp_list, signal_list, signal_fx - -@pytest.mark.parametrize("model_name", ["Monomer", "Dimer"]) -@pytest.mark.parametrize("cp_true, cp_fit", [ - (2.0, 2.0), # True Cp matches given Cp - (2.0, 0.0), # True Cp differs from given Cp - (0.0, 2.0), # True Cp is zero, fit with non-zero Cp -]) -def test_fitting_therm_oligo_cp_impact(model_name, cp_true, cp_fit): - temp_list, signal_list, signal_fx = get_two_state_data(model_name, cp_true) - - # p0 = [Tm, dHm, Cp, baseline_params...] - p0 = [Tm_VAL, DHm_VAL, cp_fit] + [INTERCEPT_N] * len(CONCS) + [INTERCEPT_U] * len(CONCS) - low_bounds = [TEMP_START, 50, 0] + [10] * (2 * len(CONCS)) - high_bounds = [TEMP_STOP, 500, 5] + [200] * (2 * len(CONCS)) - - kwargs = { - 'list_of_temperatures': temp_list, - 'list_of_signals': signal_list, - 'oligomer_concentrations': CONCS, - 'signal_fx': signal_fx, - 'baseline_native_fx': constant_baseline, - 'baseline_unfolded_fx': constant_baseline, - 'cp_value': cp_fit - } - - - global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_single_slopes( - initial_parameters=p0, - low_bounds=low_bounds, - high_bounds=high_bounds, - **kwargs - ) - # If it converges, check it's within bounds - assert TEMP_START < global_fit_params[0] < TEMP_STOP - assert global_fit_params[1] > 0 - - -@pytest.mark.parametrize("model_name", ["Monomer_monomeric_intermediate", "Dimer_monomeric_intermediate"]) -@pytest.mark.parametrize("cp_th_true, cp_th_fit", [ - (1.5, 1.5), # True CpTh matches given CpTh - (1.5, 0.0), # True CpTh differs from given CpTh -]) -def test_fitting_therm_oligo_three_state_cp_impact(model_name, cp_th_true, cp_th_fit): - cp1_true = 0.5 # A non-zero true Cp1 - temp_list, signal_list, signal_fx = get_three_state_data(model_name, cp1_true, cp_th_true) - - # When CpTh_value is NOT None, the parameters are: - # [Tm1, DHm1, Tm2, DHm2, Cp1, p1N...p1U...bI...] - # When CpTh_value IS None, Cp1 is fixed to 0.0 and NOT in the parameters. - - if cp_th_fit != 0: # Providing a non-zero CpTh_value - p0 = [T1_VAL, DH1_VAL, T2_VAL, DH2_VAL, cp1_true] + \ - [INTERCEPT_N] * len(CONCS) + [INTERCEPT_U] * len(CONCS) + [INTERCEPT_I] * len(CONCS) - low_bounds = [TEMP_START, 50, TEMP_START, 50, 0] + [10] * (3 * len(CONCS)) - high_bounds = [TEMP_STOP, 500, TEMP_STOP, 500, 5] + [200] * (3 * len(CONCS)) - cp_th_arg = cp_th_fit - else: - # If cp_th_fit is 0, we don't pass it as CpTh_value to the fitter, - # so it defaults to None (which sets Cp1=0, CpTh=0) - p0 = [T1_VAL, DH1_VAL, T2_VAL, DH2_VAL] + \ - [INTERCEPT_N] * len(CONCS) + [INTERCEPT_U] * len(CONCS) + [INTERCEPT_I] * len(CONCS) - low_bounds = [TEMP_START, 50, TEMP_START, 50] + [10] * (3 * len(CONCS)) - high_bounds = [TEMP_STOP, 500, TEMP_STOP, 500] + [200] * (3 * len(CONCS)) - cp_th_arg = None - - kwargs = { - 'list_of_temperatures': temp_list, - 'list_of_signals': signal_list, - 'oligomer_concentrations': CONCS, - 'signal_fx': signal_fx, - 'baseline_native_fx': constant_baseline, - 'baseline_unfolded_fx': constant_baseline, - 'CpTh_value': cp_th_arg - } - - global_fit_params, cov, predicted_lst, _, _ = fit_oligomer_unfolding_three_states_single_slopes( - initial_parameters=p0, - low_bounds=low_bounds, - high_bounds=high_bounds, - **kwargs - ) - - # We check the fit stays within physical bounds - assert TEMP_START < global_fit_params[0] < TEMP_STOP - assert TEMP_START < global_fit_params[2] < TEMP_STOP - assert global_fit_params[1] > 0 - assert global_fit_params[3] > 0 -""" """ Module for fitting of thermal unfolding curves. @@ -196,7 +15,7 @@ def test_fitting_therm_oligo_three_state_cp_impact(model_name, cp_th_true, cp_th fit_oligomer_unfolding_three_states_single_slopes ) -from pychemelt.utils.math import constant_baseline +from pychemelt.utils.math import constant_baseline_only_temp as constant_baseline from pychemelt.utils.signals import ( map_two_state_model_to_signal_fx, @@ -218,9 +37,7 @@ def test_fitting_therm_oligo_three_state_cp_impact(model_name, cp_th_true, cp_th INTERCEPT_N = 50 -C_N_VAL = 0 INTERCEPT_U = 100 -C_U_VAL = 0 rng = np.random.default_rng(RNG_SEED) @@ -228,14 +45,12 @@ def test_fitting_therm_oligo_three_state_cp_impact(model_name, cp_th_true, cp_th 'dHm': DHm_VAL, 'Tm': Tm_VAL+273.15, 'Cp': CP0_VAL, - 'p1_N': C_N_VAL, - 'p2_N': INTERCEPT_N, + 'p1_N': INTERCEPT_N, + 'p2_N': 0, 'p3_N': 0, - 'p4_N': 0, - 'p1_U': C_U_VAL, - 'p2_U': INTERCEPT_U, + 'p1_U': INTERCEPT_U, + 'p2_U': 0, 'p3_U': 0, - 'p4_U': 0, 'baseline_N_fx':constant_baseline, 'baseline_U_fx':constant_baseline, } @@ -253,15 +68,8 @@ def test_fitting_therm_oligo_three_state_cp_impact(model_name, cp_th_true, cp_th INTERCEPT_I = 100 INTERCEPT_N = 80 -PRE_EXP_N = 0 -C_N_VAL = 0 -ALPHA_N_VAL = 0 - - INTERCEPT_U = 110 -PRE_EXP_U = 0 -C_U_VAL = 0 -ALPHA_U_VAL = 0 + def_params_three_state = { 'DH1': DHm_VAL_1, @@ -269,14 +77,12 @@ def test_fitting_therm_oligo_three_state_cp_impact(model_name, cp_th_true, cp_th 'T1': Tm_VAL_1+273.15, 'T2': Tm_VAL_2+273.15, 'bI': INTERCEPT_I, - 'p1_N': C_N_VAL, - 'p2_N': INTERCEPT_N, - 'p3_N': PRE_EXP_N, - 'p4_N': ALPHA_N_VAL, - 'p1_U': C_U_VAL, - 'p2_U': INTERCEPT_U, - 'p3_U': PRE_EXP_U, - 'p4_U': ALPHA_U_VAL, + 'p1_N': INTERCEPT_N, + 'p2_N': 0, + 'p3_N': 0, + 'p1_U': INTERCEPT_U, + 'p2_U': 0, + 'p3_U': 0, 'baseline_N_fx':constant_baseline, 'baseline_U_fx':constant_baseline, "Cp1": 0, diff --git a/tests/test_fitting_therm_oligo_three_state.py b/tests/test_fitting_therm_oligo_three_state.py index 2da2297..de1b3b9 100644 --- a/tests/test_fitting_therm_oligo_three_state.py +++ b/tests/test_fitting_therm_oligo_three_state.py @@ -13,7 +13,7 @@ evaluate_need_to_refit_three_state ) -from pychemelt.utils.math import constant_baseline +from pychemelt.utils.math import constant_baseline_only_temp as constant_baseline from pychemelt.utils.signals import ( map_three_state_model_to_signal_fx @@ -33,17 +33,8 @@ Tm_VAL_2 = 70 INTERCEPT_I = 100 - INTERCEPT_N = 80 -PRE_EXP_N = 0 -C_N_VAL = 0 -ALPHA_N_VAL = 0 - - INTERCEPT_U = 110 -PRE_EXP_U = 0 -C_U_VAL = 0 -ALPHA_U_VAL = 0 rng = np.random.default_rng(RNG_SEED) @@ -53,14 +44,12 @@ 'T1': Tm_VAL_1+273.15, 'T2': Tm_VAL_2+273.15, 'bI': INTERCEPT_I, - 'p1_N': C_N_VAL, - 'p2_N': INTERCEPT_N, - 'p3_N': PRE_EXP_N, - 'p4_N': ALPHA_N_VAL, - 'p1_U': C_U_VAL, - 'p2_U': INTERCEPT_U, - 'p3_U': PRE_EXP_U, - 'p4_U': ALPHA_U_VAL, + 'p1_N': INTERCEPT_N, + 'p2_N': 0, + 'p3_N': 0, + 'p1_U': INTERCEPT_U, + 'p2_U': 0, + 'p3_U': 0, 'baseline_N_fx':constant_baseline, 'baseline_U_fx':constant_baseline, "Cp1": 0.5, diff --git a/tests/test_main_therm_oligo.py b/tests/test_main_therm_oligo.py index 6366bc9..e67794b 100644 --- a/tests/test_main_therm_oligo.py +++ b/tests/test_main_therm_oligo.py @@ -23,7 +23,8 @@ from pychemelt.thermal_oligomer import ThermalOligomer -from pychemelt.utils.math import linear_baseline, exponential_baseline +from pychemelt.utils.math import linear_baseline_only_temp as linear_baseline +from pychemelt.utils.math import exponential_baseline_only_temp as exponential_baseline from pychemelt.utils.signals import ( map_two_state_model_to_signal_fx @@ -46,11 +47,9 @@ INTERCEPT_N = 24 SLOPE_N = -0.27 -C_N_VAL = 0 INTERCEPT_U = -4 SLOPE_U = 80.5 EXPONENT_U = 0.0224 -C_U_VAL = 0 rng = np.random.default_rng(RNG_SEED) @@ -58,14 +57,12 @@ 'dHm': DHm_VAL, 'Tm': Tm_VAL+273.15, 'Cp': CP0_VAL, - 'p1_N': C_N_VAL, - 'p2_N': INTERCEPT_N, - 'p3_N': SLOPE_N, - 'p4_N': 0, - 'p1_U': C_U_VAL, - 'p2_U': INTERCEPT_U, - 'p3_U': SLOPE_U, - 'p4_U': EXPONENT_U, + 'p1_N': INTERCEPT_N, + 'p2_N': SLOPE_N, + 'p3_N': 0, + 'p1_U': INTERCEPT_U, + 'p2_U': SLOPE_U, + 'p3_U': EXPONENT_U, 'baseline_N_fx':linear_baseline, 'baseline_U_fx':exponential_baseline diff --git a/tests/test_main_therm_oligo_2.py b/tests/test_main_therm_oligo_2.py index 446f07e..dd40d3b 100644 --- a/tests/test_main_therm_oligo_2.py +++ b/tests/test_main_therm_oligo_2.py @@ -11,7 +11,8 @@ from pychemelt.utils.signals import ( map_two_state_model_to_signal_fx ) -from pychemelt.utils.math import exponential_baseline, constant_baseline, linear_baseline +from pychemelt.utils.math import exponential_baseline_only_temp as exponential_baseline +from pychemelt.utils.math import constant_baseline_only_temp as constant_baseline # Centralized test constants RNG_SEED = 2 @@ -28,15 +29,9 @@ INTERCEPT_N = 100 PRE_EXP_N = 1 -C_N_VAL = 0 ALPHA_N_VAL = 0.1 - INTERCEPT_U = 110 -PRE_EXP_U = 0 -C_U_VAL = 0 -ALPHA_U_VAL = 0 - rng = np.random.default_rng(RNG_SEED) @@ -44,14 +39,12 @@ 'dHm': DHm_VAL, 'Tm': Tm_VAL+273.15, 'Cp': CP0_VAL, - 'p1_N': C_N_VAL, - 'p2_N': INTERCEPT_N, - 'p3_N': PRE_EXP_N, - 'p4_N': ALPHA_N_VAL, - 'p1_U': C_U_VAL, - 'p2_U': INTERCEPT_U, - 'p3_U': PRE_EXP_U, - 'p4_U': ALPHA_U_VAL, + 'p1_N': INTERCEPT_N, + 'p2_N': PRE_EXP_N, + 'p3_N': ALPHA_N_VAL, + 'p1_U': INTERCEPT_U, + 'p2_U': 0, + 'p3_U': 0, 'baseline_N_fx':exponential_baseline, 'baseline_U_fx':constant_baseline diff --git a/tests/test_main_therm_oligo_three_state.py b/tests/test_main_therm_oligo_three_state.py index e38dd2a..aabd472 100644 --- a/tests/test_main_therm_oligo_three_state.py +++ b/tests/test_main_therm_oligo_three_state.py @@ -23,7 +23,8 @@ from pychemelt.thermal_oligomer import ThermalOligomer -from pychemelt.utils.math import linear_baseline, exponential_baseline +from pychemelt.utils.math import linear_baseline_only_temp as linear_baseline +from pychemelt.utils.math import exponential_baseline_only_temp as exponential_baseline from pychemelt.utils.signals import ( map_three_state_model_to_signal_fx @@ -50,11 +51,10 @@ INTERCEPT_N = 24 SLOPE_N = -0.27 -C_N_VAL = 0 + INTERCEPT_U = -4 SLOPE_U = 80.5 EXPONENT_U = 0.0224 -C_U_VAL = 0 rng = np.random.default_rng(RNG_SEED) @@ -64,14 +64,12 @@ 'T1': Tm_VAL_1+273.15, 'T2': Tm_VAL_2+273.15, 'bI': INTERCEPT_I, - 'p1_N': C_N_VAL, - 'p2_N': INTERCEPT_N, - 'p3_N': SLOPE_N, - 'p4_N': 0, - 'p1_U': C_U_VAL, - 'p2_U': INTERCEPT_U, - 'p3_U': SLOPE_U, - 'p4_U': EXPONENT_U, + 'p1_N': INTERCEPT_N, + 'p2_N': SLOPE_N, + 'p3_N': 0, + 'p1_U': INTERCEPT_U, + 'p2_U': SLOPE_U, + 'p3_U': EXPONENT_U, 'baseline_N_fx':linear_baseline, 'baseline_U_fx':exponential_baseline, "Cp1": 0.5, diff --git a/tests/test_main_therm_oligo_three_state_2.py b/tests/test_main_therm_oligo_three_state_2.py index 282dcac..b3b4ec1 100644 --- a/tests/test_main_therm_oligo_three_state_2.py +++ b/tests/test_main_therm_oligo_three_state_2.py @@ -11,7 +11,8 @@ from pychemelt.utils.signals import ( map_three_state_model_to_signal_fx ) -from pychemelt.utils.math import exponential_baseline, constant_baseline, linear_baseline +from pychemelt.utils.math import exponential_baseline_only_temp as exponential_baseline +from pychemelt.utils.math import constant_baseline_only_temp as constant_baseline # Centralized test constants RNG_SEED = 2 @@ -31,14 +32,9 @@ INTERCEPT_N = 80 PRE_EXP_N = 1 -C_N_VAL = 0 ALPHA_N_VAL = 0.2 - - INTERCEPT_U = 110 -PRE_EXP_U = 0 -C_U_VAL = 0 -ALPHA_U_VAL = 0 + rng = np.random.default_rng(RNG_SEED) @@ -49,14 +45,12 @@ 'T1': Tm_VAL_1+273.15, 'T2': Tm_VAL_2+273.15, 'bI': INTERCEPT_I, - 'p1_N': C_N_VAL, - 'p2_N': INTERCEPT_N, - 'p3_N': PRE_EXP_N, - 'p4_N': ALPHA_N_VAL, - 'p1_U': C_U_VAL, - 'p2_U': INTERCEPT_U, - 'p3_U': PRE_EXP_U, - 'p4_U': ALPHA_U_VAL, + 'p1_N': INTERCEPT_N, + 'p2_N': PRE_EXP_N, + 'p3_N': ALPHA_N_VAL, + 'p1_U': INTERCEPT_U, + 'p2_U': 0, + 'p3_U': 0, 'baseline_N_fx':exponential_baseline, 'baseline_U_fx':constant_baseline, "Cp1":0.5, diff --git a/tests/test_main_therm_oligo_three_state_3.py b/tests/test_main_therm_oligo_three_state_3.py index 205e736..97fc5a0 100644 --- a/tests/test_main_therm_oligo_three_state_3.py +++ b/tests/test_main_therm_oligo_three_state_3.py @@ -18,7 +18,8 @@ from pychemelt.thermal_oligomer import ThermalOligomer -from pychemelt.utils.math import linear_baseline, exponential_baseline +from pychemelt.utils.math import linear_baseline_only_temp as linear_baseline +from pychemelt.utils.math import exponential_baseline_only_temp as exponential_baseline from pychemelt.utils.signals import ( map_three_state_model_to_signal_fx @@ -45,11 +46,9 @@ INTERCEPT_N = 24 SLOPE_N = -0.27 -C_N_VAL = 0 INTERCEPT_U = 1 PRE_EXP_U = 80.5 EXPONENT_U = 0.0224 -C_U_VAL = 0 rng = np.random.default_rng(RNG_SEED) @@ -59,14 +58,12 @@ 'T1': Tm_VAL_1 + 273.15, 'T2': Tm_VAL_2 + 273.15, 'bI': INTERCEPT_I, - 'p1_N': C_N_VAL, - 'p2_N': INTERCEPT_N, - 'p3_N': SLOPE_N, - 'p4_N': 0, - 'p1_U': C_U_VAL, - 'p2_U': INTERCEPT_U, - 'p3_U': PRE_EXP_U, - 'p4_U': EXPONENT_U, + 'p1_N': INTERCEPT_N, + 'p2_N': SLOPE_N, + 'p3_N': 0, + 'p1_U': INTERCEPT_U, + 'p2_U': PRE_EXP_U, + 'p3_U': EXPONENT_U, 'baseline_N_fx': linear_baseline, 'baseline_U_fx': exponential_baseline, "Cp1": CP1, diff --git a/tests/test_plotting_oligomer.py b/tests/test_plotting_oligomer.py index 7b42b95..33d0d10 100644 --- a/tests/test_plotting_oligomer.py +++ b/tests/test_plotting_oligomer.py @@ -29,14 +29,12 @@ 'p1_N': 0, # dependence on denaturant concentration 'p2_N': 50, # intercept 'p3_N': 0, # slope term - 'p4_N': 0, # ignored # Unfolded baseline parameters 'p1_U': 0, # dependence on denaturant concentration 'p2_U': 95, # intercept 'p3_U': 0, # pre-exponential factor - 'p4_U': 0, # exponential coefficient 'baseline_N_fx':constant_baseline, 'baseline_U_fx':constant_baseline From 4c2f3128c4c73ea54b7de5c398dfff4bde089fbd Mon Sep 17 00:00:00 2001 From: osvalb Date: Wed, 13 May 2026 20:37:27 +0200 Subject: [PATCH 6/7] speedup changes --- src/pychemelt/__init__.py | 6 +++++- src/pychemelt/utils/fitting.py | 1 - src/pychemelt/utils/rates.py | 8 ++++++-- src/pychemelt/utils/signals.py | 3 +++ 4 files changed, 14 insertions(+), 4 deletions(-) diff --git a/src/pychemelt/__init__.py b/src/pychemelt/__init__.py index 24bc970..88c5ac4 100644 --- a/src/pychemelt/__init__.py +++ b/src/pychemelt/__init__.py @@ -12,7 +12,11 @@ constant_baseline, linear_baseline, quadratic_baseline, - exponential_baseline + exponential_baseline, + constant_baseline_only_temp, + linear_baseline_only_temp, + quadratic_baseline_only_temp, + exponential_baseline_only_temp ) from .utils.signals import ( diff --git a/src/pychemelt/utils/fitting.py b/src/pychemelt/utils/fitting.py index b54b25f..3bea181 100644 --- a/src/pychemelt/utils/fitting.py +++ b/src/pychemelt/utils/fitting.py @@ -6,7 +6,6 @@ import numpy as np from scipy.optimize import curve_fit from scipy.optimize import least_squares -from lmfit import conf_interval from .math import get_rss, temperature_to_kelvin, temperature_to_celsius diff --git a/src/pychemelt/utils/rates.py b/src/pychemelt/utils/rates.py index 71c589c..14585e8 100644 --- a/src/pychemelt/utils/rates.py +++ b/src/pychemelt/utils/rates.py @@ -44,7 +44,9 @@ def eq_constant_thermo(T,DH1,T1,Cp): Equilibrium constant at the given temperature """ - DG = DH1*(1 - T/T1) - Cp*(T1 - T + T*np.log(T/T1)) + T_over_T1 = T / T1 + + DG = DH1*(1 - T_over_T1) - Cp*(T1 - T + T*np.log(T_over_T1)) K = np.exp(-DG / (R_gas * T)) return K @@ -81,7 +83,9 @@ def eq_constant_termochem(T,D,DHm,Tm,Cp0,m0,m1): DT = shift_temperature_K(T) - DG = DHm*(1 - T/Tm) + Cp0*(T - Tm - T*np.log(T/Tm)) - D*(m0 + m1*DT) + T_over_Tm = T / Tm + + DG = DHm*(1 - T_over_Tm) + Cp0*(T - Tm - T*np.log(T_over_Tm)) - D*(m0 + m1*DT) DG_RT = -DG / (R_gas * T) diff --git a/src/pychemelt/utils/signals.py b/src/pychemelt/utils/signals.py index 5cf1a04..92a865e 100644 --- a/src/pychemelt/utils/signals.py +++ b/src/pychemelt/utils/signals.py @@ -1,6 +1,9 @@ """ This module contains helper functions to obtain the signal, given certain parameters Author: Osvaldo Burastero + +Note: One could move dT outside the signal functions but the speedup was not significant. + """ from .rates import ( From 3a9813442aaee751caedd85c2e0746167d28f752 Mon Sep 17 00:00:00 2001 From: osvalb Date: Thu, 14 May 2026 17:02:24 +0200 Subject: [PATCH 7/7] edit tests --- src/pychemelt/utils/fitting.py | 4 +- src/pychemelt/utils/rates.py | 6 ++ src/pychemelt/utils/signals.py | 19 +++- tests/test_fitting.py | 2 +- tests/test_main_therm_oligo_three_state.py | 101 ++++++++++++--------- tests/test_math.py | 11 ++- 6 files changed, 95 insertions(+), 48 deletions(-) diff --git a/src/pychemelt/utils/fitting.py b/src/pychemelt/utils/fitting.py index 3bea181..bcbe818 100644 --- a/src/pychemelt/utils/fitting.py +++ b/src/pychemelt/utils/fitting.py @@ -24,7 +24,7 @@ "fit_oligomer_unfolding_three_states_single_slopes", "fit_oligomer_unfolding_three_states_shared_slopes_many_signals", "compute_asymmetric_confidence_intervals" - #"fit_oligomer_unfolding_three_states_many_signals", + "fit_oligomer_unfolding_three_states_many_signals" ] def baseline_fx_name_to_req_params(baseline_fx_name): @@ -3362,7 +3362,7 @@ def compute_asymmetric_confidence_intervals(minimizer, result, param_names=['Tm' sigmas = [sigmas] # Compute confidence intervals - ci = conf_interval(minimizer, result, p_names=param_names, sigmas=sigmas) + ci = lmfit.conf_interval(minimizer, result, p_names=param_names, sigmas=sigmas) # Reformat results into a more intuitive structure ci_results = {} diff --git a/src/pychemelt/utils/rates.py b/src/pychemelt/utils/rates.py index 14585e8..899ec97 100644 --- a/src/pychemelt/utils/rates.py +++ b/src/pychemelt/utils/rates.py @@ -20,6 +20,12 @@ from .constants import R_gas +__all__ = [ + "eq_constant_thermo", + "eq_constant_termochem" +] + + def eq_constant_thermo(T,DH1,T1,Cp): """ diff --git a/src/pychemelt/utils/signals.py b/src/pychemelt/utils/signals.py index 92a865e..6fa3a43 100644 --- a/src/pychemelt/utils/signals.py +++ b/src/pychemelt/utils/signals.py @@ -28,7 +28,24 @@ from .math import shift_temperature_K - +__all__ = [ + "signal_two_state_tc_unfolding", + "signal_two_state_tc_unfolding_shifted", + "signal_two_state_t_unfolding", + "two_state_thermal_unfold_curve", + "two_state_thermal_unfold_curve_dimer", + "two_state_thermal_unfold_curve_trimer", + "two_state_thermal_unfold_curve_tetramer", + "unfolding_curve_monomer_monomeric_intermediate", + "unfolding_curve_dimer_monomeric_intermediate", + "unfolding_curve_trimer_monomeric_intermediate", + "unfolding_curve_tetramer_monomeric_intermediate", + "unfolding_curve_trimer_trimeric_intermediate", + "unfolding_curve_dimer_dimeric_intermediate", + "map_two_state_model_to_signal_fx", + "map_three_state_model_to_signal_fx" +] + def signal_two_state_tc_unfolding( T,D,DHm,Tm,Cp0,m0,m1, diff --git a/tests/test_fitting.py b/tests/test_fitting.py index 727ac2f..7d9e36e 100644 --- a/tests/test_fitting.py +++ b/tests/test_fitting.py @@ -2,7 +2,7 @@ from pychemelt.utils.math import ( quadratic_baseline, - constant_baseline, linear_baseline + constant_baseline ) from pychemelt.utils.fitting import ( diff --git a/tests/test_main_therm_oligo_three_state.py b/tests/test_main_therm_oligo_three_state.py index aabd472..03489cc 100644 --- a/tests/test_main_therm_oligo_three_state.py +++ b/tests/test_main_therm_oligo_three_state.py @@ -36,24 +36,27 @@ TEMP_START = 20.0 TEMP_STOP = 90.0 N_TEMPS = 150 -CONCS = np.arange(10, 60, 10)*1e-6 -MAX_POINTS = 400 +CONCS = np.array([1,2,5,10,20,40,80,120])*1e-6 +MAX_POINTS = 60 slope_position = 4 + 3 * len(CONCS) # Model / ground-truth parameters DHm_VAL_1 = 250 DHm_VAL_2 = 250 -Tm_VAL_1 = 60 +Tm_VAL_1 = 55 # Monomer +Tm_VAL_1_DIMER = 60 # Dimer: +5 degrees +Tm_VAL_1_TRIMER = 65 # Trimer: +10 degrees +Tm_VAL_1_TETRAMER = 70 # Tetramer: +15 degrees Tm_VAL_2 = 70 -INTERCEPT_I = 15 +INTERCEPT_I = 18 INTERCEPT_N = 24 SLOPE_N = -0.27 -INTERCEPT_U = -4 -SLOPE_U = 80.5 +INTERCEPT_U = 2 +PRE_EXP_U = 80.5 EXPONENT_U = 0.0224 rng = np.random.default_rng(RNG_SEED) @@ -68,14 +71,23 @@ 'p2_N': SLOPE_N, 'p3_N': 0, 'p1_U': INTERCEPT_U, - 'p2_U': SLOPE_U, + 'p2_U': PRE_EXP_U, 'p3_U': EXPONENT_U, 'baseline_N_fx':linear_baseline, 'baseline_U_fx':exponential_baseline, - "Cp1": 0.5, - 'CpTh': 1.0, + "Cp1": 1, + 'CpTh': 2, } +dimer_params = def_params.copy() +dimer_params['T1'] = Tm_VAL_1_DIMER + 273.15 + +trimer_params = def_params.copy() +trimer_params['T1'] = Tm_VAL_1_TRIMER + 273.15 + +tetramer_params = def_params.copy() +tetramer_params['T1'] = Tm_VAL_1_TETRAMER + 273.15 + concs = CONCS def aux_create_pychem_sim(params,concs, model, intermediate): @@ -97,7 +109,7 @@ def aux_create_pychem_sim(params,concs, model, intermediate): y = signal_fx(temp_range_K, C, **params) # Add gaussian error to signal - #y += rng.normal(0, 0.002*1e-3, len(y)) # Small error (seeded) + y += rng.normal(0, 0.002*1e-3, len(y)) # Small error (seeded) signal_list.append(y) temp_list.append(temp_range) @@ -121,8 +133,6 @@ def aux_create_pychem_sim(params,concs, model, intermediate): pychem_sim.select_conditions() pychem_sim.expand_multiple_signal() - - pychem_sim.estimate_baseline_parameters( native_baseline_type='linear', unfolded_baseline_type='exponential' @@ -137,6 +147,19 @@ def aux_create_pychem_sim(params,concs, model, intermediate): pychem_sim_scaling = aux_create_pychem_sim(def_params, scale_concs, "Monomer", "monomeric") +# Using concentrations close to each other in order to trigger non-scaling +conc = np.array([10])*1e-6 + +pychem_sim_one_conc = aux_create_pychem_sim(def_params, conc, "Monomer", "monomeric") +monomer_sim = aux_create_pychem_sim(def_params, concs, "Monomer", "monomeric") + + +dimer_sim = aux_create_pychem_sim(dimer_params, concs, "Dimer", "monomeric") +trimer_sim = aux_create_pychem_sim(trimer_params, concs, "Trimer", "monomeric") +tetramer_sim = aux_create_pychem_sim(tetramer_params, concs, "Tetramer", "monomeric") + +dimer_sim_dimeric = aux_create_pychem_sim(def_params, concs, "Dimer", "dimeric") +trimer_sim_trimeric = aux_create_pychem_sim(def_params, concs, "Trimer", "trimeric") def test_fit_thermal_unfolding_three_state_global_global_global_scaling(): @@ -147,10 +170,7 @@ def test_fit_thermal_unfolding_three_state_global_global_global_scaling(): # Test not scaling for one concentration -# Using concentrations close to each other in order to trigger non-scaling -conc = np.array([10])*1e-6 -pychem_sim_one_conc = aux_create_pychem_sim(def_params, conc, "Monomer", "monomeric") def test_fit_thermal_unfolding_three_state_global_global_global_scaling_one_conc(): @@ -161,7 +181,6 @@ def test_fit_thermal_unfolding_three_state_global_global_global_scaling_one_conc # Testing Monomer_monomeric model -monomer_sim = aux_create_pychem_sim(def_params, concs, "Monomer", "monomeric") def test_fit_thermal_unfolding_three_state_global_monomer_monomeric(): @@ -203,7 +222,7 @@ def test_fit_thermal_unfolding_three_state_global_monomer_monomeric(): np.testing.assert_allclose(monomer_sim.params_df.iloc[:4, 1], expected, rtol=0.2) def test_fit_thermal_unfolding_three_state_global_global_monomer_monomeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, SLOPE_N, SLOPE_U, EXPONENT_U] + expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, SLOPE_N, PRE_EXP_U, EXPONENT_U] monomer_sim.fit_thermal_unfolding_three_state_global() @@ -213,20 +232,19 @@ def test_fit_thermal_unfolding_three_state_global_global_monomer_monomeric(): def test_fit_thermal_unfolding_three_state_global_global_global_monomer_monomeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, SLOPE_U, EXPONENT_U] + expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, PRE_EXP_U, EXPONENT_U] monomer_sim.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) - np.testing.assert_allclose(monomer_sim.params_df.iloc[:10, 1], expected, rtol=0.2) + np.testing.assert_allclose(monomer_sim.params_df.iloc[:4, 1], expected[:4], rtol=0.2) # Testing Dimer_monomeric model -dimer_sim = aux_create_pychem_sim(def_params, concs, "Dimer", "monomeric") def test_fit_thermal_unfolding_three_state_global_dimer_monomeric(): # local slopes and baselines - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2] + expected = [Tm_VAL_1_DIMER, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2] dimer_sim.fit_thermal_unfolding_three_state_global() @@ -234,13 +252,13 @@ def test_fit_thermal_unfolding_three_state_global_dimer_monomeric(): # Given T1 and T2 - dimer_sim.fit_thermal_unfolding_three_state_global(t1_init=Tm_VAL_1, t2_init=Tm_VAL_2) + dimer_sim.fit_thermal_unfolding_three_state_global(t1_init=Tm_VAL_1_DIMER, t2_init=Tm_VAL_2) np.testing.assert_allclose(dimer_sim.params_df.iloc[:4, 1], expected, rtol=0.2) # fixed Tm limits - dimer_sim.fit_thermal_unfolding_three_state_global(tm_limits=[Tm_VAL_1 - 12, Tm_VAL_1 + 20, Tm_VAL_2 - 12, Tm_VAL_2 + 20]) + dimer_sim.fit_thermal_unfolding_three_state_global(tm_limits=[Tm_VAL_1_DIMER - 12, Tm_VAL_1_DIMER + 20, Tm_VAL_2 - 12, Tm_VAL_2 + 20]) np.testing.assert_allclose(dimer_sim.params_df.iloc[:4, 1], expected, rtol=0.2) @@ -252,7 +270,7 @@ def test_fit_thermal_unfolding_three_state_global_dimer_monomeric(): def test_fit_thermal_unfolding_three_state_global_global_dimer_monomeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, SLOPE_N, SLOPE_U, EXPONENT_U] + expected = [Tm_VAL_1_DIMER, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, SLOPE_N, PRE_EXP_U, EXPONENT_U] dimer_sim.fit_thermal_unfolding_three_state_global() @@ -262,7 +280,7 @@ def test_fit_thermal_unfolding_three_state_global_global_dimer_monomeric(): def test_fit_thermal_unfolding_three_state_global_global_global_dimer_monomeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, SLOPE_U, EXPONENT_U] + expected = [Tm_VAL_1_DIMER, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, PRE_EXP_U, EXPONENT_U] dimer_sim.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) @@ -271,12 +289,11 @@ def test_fit_thermal_unfolding_three_state_global_global_global_dimer_monomeric( # Testing Trimer_monomeric model -trimer_sim = aux_create_pychem_sim(def_params, concs, "Trimer", "monomeric") def test_fit_thermal_unfolding_three_state_global_trimer_monomeric(): # local slopes and baselines - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2] + expected = [Tm_VAL_1_TRIMER, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2] trimer_sim.fit_thermal_unfolding_three_state_global() @@ -284,14 +301,14 @@ def test_fit_thermal_unfolding_three_state_global_trimer_monomeric(): # Given T1 and T2 - trimer_sim.fit_thermal_unfolding_three_state_global(t1_init=Tm_VAL_1, t2_init=Tm_VAL_2) + trimer_sim.fit_thermal_unfolding_three_state_global(t1_init=Tm_VAL_1_TRIMER, t2_init=Tm_VAL_2) np.testing.assert_allclose(trimer_sim.params_df.iloc[:4, 1], expected, rtol=0.2) # fixed Tm limits trimer_sim.fit_thermal_unfolding_three_state_global( - tm_limits=[Tm_VAL_1 - 12, Tm_VAL_1 + 20, Tm_VAL_2 - 12, Tm_VAL_2 + 20]) + tm_limits=[Tm_VAL_1_TRIMER - 12, Tm_VAL_1_TRIMER + 20, Tm_VAL_2 - 12, Tm_VAL_2 + 20]) np.testing.assert_allclose(trimer_sim.params_df.iloc[:4, 1], expected, rtol=0.2) @@ -303,7 +320,7 @@ def test_fit_thermal_unfolding_three_state_global_trimer_monomeric(): def test_fit_thermal_unfolding_three_state_global_global_trimer_monomeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, SLOPE_N, SLOPE_U, EXPONENT_U] + expected = [Tm_VAL_1_TRIMER, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, SLOPE_N, PRE_EXP_U, EXPONENT_U] trimer_sim.fit_thermal_unfolding_three_state_global() @@ -313,7 +330,7 @@ def test_fit_thermal_unfolding_three_state_global_global_trimer_monomeric(): def test_fit_thermal_unfolding_three_state_global_global_global_trimer_monomeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, SLOPE_U, EXPONENT_U] + expected = [Tm_VAL_1_TRIMER, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, PRE_EXP_U, EXPONENT_U] trimer_sim.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) @@ -322,12 +339,11 @@ def test_fit_thermal_unfolding_three_state_global_global_global_trimer_monomeric # Testing Tetramer_monomeric model -tetramer_sim = aux_create_pychem_sim(def_params, concs, "Tetramer", "monomeric") def test_fit_thermal_unfolding_three_state_global_tetramer_monomeric(): # local slopes and baselines - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2] + expected = [Tm_VAL_1_TETRAMER, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2] tetramer_sim.fit_thermal_unfolding_three_state_global() @@ -335,14 +351,14 @@ def test_fit_thermal_unfolding_three_state_global_tetramer_monomeric(): # Given T1 and T2 - tetramer_sim.fit_thermal_unfolding_three_state_global(t1_init=Tm_VAL_1, t2_init=Tm_VAL_2) + tetramer_sim.fit_thermal_unfolding_three_state_global(t1_init=Tm_VAL_1_TETRAMER, t2_init=Tm_VAL_2) np.testing.assert_allclose(tetramer_sim.params_df.iloc[:4, 1], expected, rtol=0.2) # fixed Tm limits tetramer_sim.fit_thermal_unfolding_three_state_global( - tm_limits=[Tm_VAL_1 - 12, Tm_VAL_1 + 16, Tm_VAL_2 - 12, Tm_VAL_2 + 16]) + tm_limits=[Tm_VAL_1_TETRAMER - 12, Tm_VAL_1_TETRAMER + 16, Tm_VAL_2 - 12, Tm_VAL_2 + 16]) np.testing.assert_allclose(tetramer_sim.params_df.iloc[:4, 1], expected, rtol=0.2) @@ -354,7 +370,7 @@ def test_fit_thermal_unfolding_three_state_global_tetramer_monomeric(): def test_fit_thermal_unfolding_three_state_global_global_tetramer_monomeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2] + expected = [Tm_VAL_1_TETRAMER, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2] tetramer_sim.fit_thermal_unfolding_three_state_global() @@ -364,16 +380,16 @@ def test_fit_thermal_unfolding_three_state_global_global_tetramer_monomeric(): def test_fit_thermal_unfolding_three_state_global_global_global_tetramer_monomeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2] + expected = [Tm_VAL_1_TETRAMER, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2] tetramer_sim.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) np.testing.assert_allclose(tetramer_sim.params_df.iloc[:4, 1], expected, rtol=0.2) + # Testing Dimer_dimeric model -dimer_sim_dimeric = aux_create_pychem_sim(def_params, concs, "Dimer", "dimeric") def test_fit_thermal_unfolding_three_state_global_dimer_dimeric(): # local slopes and baselines @@ -404,7 +420,7 @@ def test_fit_thermal_unfolding_three_state_global_dimer_dimeric(): def test_fit_thermal_unfolding_three_state_global_global_dimer_dimeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, SLOPE_N, SLOPE_U, EXPONENT_U] + expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, SLOPE_N, PRE_EXP_U, EXPONENT_U] dimer_sim_dimeric.fit_thermal_unfolding_three_state_global() @@ -414,7 +430,7 @@ def test_fit_thermal_unfolding_three_state_global_global_dimer_dimeric(): def test_fit_thermal_unfolding_three_state_global_global_global_dimer_dimeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, SLOPE_U, EXPONENT_U] + expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, PRE_EXP_U, EXPONENT_U] dimer_sim_dimeric.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) @@ -423,7 +439,6 @@ def test_fit_thermal_unfolding_three_state_global_global_global_dimer_dimeric(): # Testing Trimer_trimeric model -trimer_sim_trimeric = aux_create_pychem_sim(def_params, concs, "Trimer", "trimeric") def test_fit_thermal_unfolding_three_state_global_trimer_trimeric(): # local slopes and baselines @@ -455,7 +470,7 @@ def test_fit_thermal_unfolding_three_state_global_trimer_trimeric(): def test_fit_thermal_unfolding_three_state_global_global_trimer_trimeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, SLOPE_N, SLOPE_U, EXPONENT_U] + expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, SLOPE_N, PRE_EXP_U, EXPONENT_U] trimer_sim_trimeric.fit_thermal_unfolding_three_state_global() @@ -465,7 +480,7 @@ def test_fit_thermal_unfolding_three_state_global_global_trimer_trimeric(): def test_fit_thermal_unfolding_three_state_global_global_global_trimer_trimeric(): - expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, SLOPE_U, EXPONENT_U] + expected = [Tm_VAL_1, DHm_VAL_1, Tm_VAL_2, DHm_VAL_2, INTERCEPT_N, INTERCEPT_U, INTERCEPT_I, SLOPE_N, PRE_EXP_U, EXPONENT_U] trimer_sim_trimeric.fit_thermal_unfolding_three_state_global_global_global(model_scale_factor=True) diff --git a/tests/test_math.py b/tests/test_math.py index 59cf8c2..8cf0ad0 100644 --- a/tests/test_math.py +++ b/tests/test_math.py @@ -4,7 +4,8 @@ from pychemelt.utils.math import ( first_derivative_savgol, solve_one_root_quadratic, - solve_one_root_depressed_cubic + solve_one_root_depressed_cubic, + quadratic_baseline_only_temp ) @@ -60,4 +61,12 @@ def test_solve_one_root_depressed_cubic(): assert solve_one_root_depressed_cubic(2, 2) == pytest.approx(-0.77092, abs=1e-4) +def test_quadratic_baseline_only_temp(): + dt = np.array([0, 1, 2, 3]) + a, b, c = 1, -0.5, 0.1 + + expected = a + b*dt + c*dt**2 + result = quadratic_baseline_only_temp(dt, a, b, c) + + assert np.allclose(result, expected)