From f5a5a5ff98b3d0bc531a774d35fcbc3fb898aebf Mon Sep 17 00:00:00 2001 From: NDOUR Date: Mon, 16 Feb 2026 11:38:46 +0300 Subject: [PATCH 01/12] added new implementation to generate the root architecture and add visitor2 to turtle module to visualize MTGs --- .../millet/Simulating_archicture.ipynb | 242 ++++++++++ src/openalea/hydroroot/millet/architecture.py | 197 ++++++++ .../millet/{turtle.py => turtle_millet.py} | 433 ++++++++++-------- 3 files changed, 691 insertions(+), 181 deletions(-) create mode 100644 src/openalea/hydroroot/millet/Simulating_archicture.ipynb rename src/openalea/hydroroot/millet/{turtle.py => turtle_millet.py} (69%) diff --git a/src/openalea/hydroroot/millet/Simulating_archicture.ipynb b/src/openalea/hydroroot/millet/Simulating_archicture.ipynb new file mode 100644 index 00000000..f16cd609 --- /dev/null +++ b/src/openalea/hydroroot/millet/Simulating_archicture.ipynb @@ -0,0 +1,242 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2e095779-4a3f-4330-a131-d5fac2b265f5", + "metadata": {}, + "source": [ + "## Load packages" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "27a65c43-8622-4ff8-a641-b2afe382d303", + "metadata": {}, + "outputs": [], + "source": [ + "import openalea.mtg as mtg\n", + "from openalea.hydroroot.main import root_builder\n", + "from openalea.hydroroot.radius import compute_length, compute_relative_position" + ] + }, + { + "cell_type": "markdown", + "id": "c7c58eb3-8e5c-40fe-8149-786209324327", + "metadata": {}, + "source": [ + "# Build architectures for 57 and 109 lines" + ] + }, + { + "cell_type": "markdown", + "id": "6fef8c24-8666-48c9-b93c-7bfa8d0783d9", + "metadata": {}, + "source": [ + "| Lignée | No. de plantes | Longueur racine séminale (cm) Moyenne (e.t) | No. de racines coronaires Moyenne (e.t) | No. de racines latérales Moyenne (e.t) |\n", + "|-------|----------------|----------------------------------------------|-----------------------------------------|----------------------------------------|\n", + "| 57 | 46 | 10.3 (6.4) | 0.17 (0.68) | 3.1 (3.9) |\n", + "| 109 | 76 | 20.2 (8.6) | 0.54 (1.1) | 14.1 (14.3) |\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "937c0dcd-dc5c-4e6f-b001-0de89a5514e9", + "metadata": {}, + "outputs": [], + "source": [ + "import architecture\n", + "from architecture import millet_mtg2\n", + "import importlib\n", + "importlib.reload(architecture)\n", + "\n", + "g57 = millet_mtg2(\n", + " seed=1,\n", + " primary_length=0.103,\n", + " nude_tip_length=0.03,\n", + " nb_crown=1,\n", + " n_laterals_primary=3, # explicit count\n", + " lateral_length=0.02,\n", + " segment_length=1e-3, \n", + ")\n", + "g109 = millet_mtg2(\n", + " seed=1,\n", + " primary_length=0.202,\n", + " nude_tip_length=0.03,\n", + " nb_crown=4,\n", + " n_laterals_primary=10, # explicit count\n", + " lateral_length=0.05,\n", + " segment_length=1e-3, \n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "0a0912ce-fafd-4e40-83d6-4e31837419d6", + "metadata": {}, + "source": [ + "## Compute length and position" + ] + }, + { + "cell_type": "markdown", + "id": "873b51aa-7d08-4888-9dea-b136342e5fef", + "metadata": {}, + "source": [ + "* **57**" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "4acc9050-4c07-4254-aa1d-e99860243994", + "metadata": {}, + "outputs": [], + "source": [ + "g57 = compute_length(g57)\n", + "g57 = compute_relative_position(g57)" + ] + }, + { + "cell_type": "markdown", + "id": "d55a647f-ff0e-439c-a207-87f2e9be5519", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "166b5c05-80d0-4350-898f-2437c439adc7", + "metadata": {}, + "outputs": [], + "source": [ + "g109 = compute_length(g109)\n", + "g109 = compute_relative_position(g109)" + ] + }, + { + "cell_type": "markdown", + "id": "7d196eb2-3123-4122-b853-cc0676e18d19", + "metadata": {}, + "source": [ + "## Visualizing architectures" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "873d6970-5877-4148-9513-0e021b0fbe54", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from openalea.plantgl.algo.view import view # 2D view\n", + "from openalea.hydroroot.display import mtg_scene\n", + "import turtle_millet\n", + "importlib.reload(turtle)" + ] + }, + { + "cell_type": "markdown", + "id": "08c19c5e-b830-4330-80b4-50b9829ff8f6", + "metadata": {}, + "source": [ + "* 57" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "a86e39eb-51fd-4d5b-8073-2d1e81484457", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "s = mtg_scene(g57,prop_cmap='order', visitor=turtle_millet.visitor2) \n", + "view(s) # use PlantGL(s) to display in 3D" + ] + }, + { + "cell_type": "markdown", + "id": "cfdc8748-e7b6-4a2d-a185-6e510d8d1c1e", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "43d254d4-ce11-4643-9ccf-4f8469a91696", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "s = mtg_scene(g109,prop_cmap='order', visitor=turtle_millet.visitor2) \n", + "view(s) # use PlantGL(s) to display in 3D" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3edb203c-1e3a-4b4e-a026-dbd045cd9cf3", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/src/openalea/hydroroot/millet/architecture.py b/src/openalea/hydroroot/millet/architecture.py index b449ee59..074eb30e 100644 --- a/src/openalea/hydroroot/millet/architecture.py +++ b/src/openalea/hydroroot/millet/architecture.py @@ -247,3 +247,200 @@ def create_randomized_delayed_axis(nid, n, anchors=anchors, **kwds): return g +##################################### +# New implementation +#################################### +import random +import numpy as np + +from openalea.mtg import MTG +from openalea.mtg.algo import orders +from openalea.mtg.mtg import fat_mtg + + +def millet_mtg2( + g=None, + vid=None, + seed=None, + # seminal + primary_length=0.2, # [m] + nude_tip_length=0.03, # [m] + order_max=2, + branching_stability=0.8, # 1=regular spacing, 0=random spacing + # NEW: explicit number of laterals on primary + n_laterals_primary=5, # [count] + # fixed lateral length + lateral_length=0.89, # [m] + # crown + nb_crown=2, + crown_length=0.06, # [m] + # discretization + segment_length=1e-4, # [m] + **kwargs +): + """ + Millet RSA MTG with an explicit number of laterals (no branching_variability). + + - Primary axis vertex count = int(primary_length/segment_length) + - Crown axis vertex count = int(crown_length/segment_length) + - Each lateral axis length = lateral_length (fixed) + - Exactly n_laterals_primary laterals are initiated on the primary axis + (unless branchable zone is too short, then it is clipped). + """ + + # ------------------------- + # Helper functions that will be used later to build the MTG + # ------------------------- + def steps_from_length(length_m: float): + return max(1, int(length_m / segment_length)) + + def pick_lateral_indices(n_axis_steps: int, nude_steps: int, n_laterals: int): + """ + Choose exactly n_laterals indices i in [0 .. max_i] where laterals initiate, + where max_i excludes the nude tip region near the apex. + """ + max_i = n_axis_steps - 1 - nude_steps + if max_i <= 0 or n_laterals <= 0: + return [] + + # cannot place more laterals than available slots + n_laterals = min(int(n_laterals), max_i + 1) + + if branching_stability >= 0.5: + # quasi-regular spacing with limited jitter + grid = np.linspace(0, max_i, num=n_laterals, endpoint=True) + # jitter amplitude in steps (smaller if stability high) + jitter_amp = max(1, int((1.0 - branching_stability) * (max_i / max(n_laterals, 1)))) + idx = [] + occupied = set() + for x in grid: + j = int(round(x + np.random.randint(-jitter_amp, jitter_amp + 1))) + j = max(0, min(max_i, j)) + # resolve collisions locally + if j in occupied: + for dj in range(1, 50): + for cand in (j - dj, j + dj): + if 0 <= cand <= max_i and cand not in occupied: + j = cand + break + if j not in occupied: + break + occupied.add(j) + idx.append(j) + return sorted(idx) + else: + # fully random positions without replacement + return sorted(random.sample(range(0, max_i + 1), k=n_laterals)) + + def create_linear_axis(root_node, axis_length_m: float, label: str, order: int, lateral_idx=None, anchors=None): + """ + Create a successor axis (<). Optionally mark certain indices as anchors. + Store position_index = distance-to-tip in meters. + """ + n_steps = steps_from_length(axis_length_m) + lateral_idx = set(lateral_idx or []) + anchors = anchors if anchors is not None else [] + + nid = root_node + for i in range(n_steps): + nid = nid.add_child(edge_type='<', label=label, order=order, **kwargs) + dist_to_tip_steps = (n_steps - 1 - i) + nid.position_index = dist_to_tip_steps * segment_length + if i in lateral_idx: + anchors.append(nid) + return nid + + def add_fixed_length_lateral(parent_node, lateral_length_m: float, order: int): + """Create a lateral root: '+' then '<' chain of fixed length.""" + n_steps = steps_from_length(lateral_length_m) + cid = parent_node.add_child(edge_type='+', label='Lateral', order=order, **kwargs) + nid = cid + for i in range(n_steps): + nid = nid.add_child(edge_type='<', label='Lateral', order=order, **kwargs) + dist_to_tip_steps = (n_steps - 1 - i) + nid.position_index = dist_to_tip_steps * segment_length + return cid + + def add_crown_axes(collet_ids): + for i in range(min(nb_crown, len(collet_ids))): + parent = g.node(collet_ids[i]) + n_steps = steps_from_length(crown_length) + + cid = parent.add_child(edge_type='+', label='Crown', order=0, **kwargs) + cid.position_index = (n_steps - 1) * segment_length + + nid = cid + for k in range(1, n_steps): + nid = nid.add_child(edge_type='<', label='Crown', order=0, **kwargs) + nid.position_index = (n_steps - 1 - k) * segment_length + + # ------------------------- + # Seeding + # ------------------------- + if seed is not None: + random.seed(seed) + np.random.seed(seed) + + # ------------------------- + # MTG init + collets: Crown and and primary roots are built from the collet + # ------------------------- + if g is None: + g = MTG() + + if vid is None: + vid = g.add_component(g.root, label='collet', order=0, **kwargs) + + collet_ids = [vid] + for _ in range(nb_crown): + vid = g.add_child(vid, label='collet', edge_type='<', order=0, **kwargs) + collet_ids.append(vid) + + # ------------------------- + # Primary axis with explicit laterals: rather than using lateral root density, we reported the number of laterals observed experimentally for the different millet lines + # ------------------------- + n_primary_steps = steps_from_length(primary_length) + nude_steps = max(0, steps_from_length(nude_tip_length)) + + lateral_indices = pick_lateral_indices( + n_axis_steps=n_primary_steps, + nude_steps=nude_steps, + n_laterals=n_laterals_primary + ) + + anchors = [] + seminal_root = g.node(collet_ids[-1]) + create_linear_axis( + root_node=seminal_root, + axis_length_m=primary_length, + label='Seminal', + order=0, + lateral_idx=lateral_indices, + anchors=anchors + ) + + # ------------------------- + # Create laterals (fixed length) + # ------------------------- + hard_vertex_cap = max(5000, n_primary_steps * 50) + while anchors and len(g) < hard_vertex_cap: + nid = anchors.pop(0) + current_order = getattr(nid, "order", 0) + if current_order >= order_max: + continue + add_fixed_length_lateral( + parent_node=nid, + lateral_length_m=float(lateral_length), + order=current_order + 1 + ) + + # ------------------------- + # Crown roots + # ------------------------- + add_crown_axes(collet_ids) + + # ------------------------- + # Finalize + # ------------------------- + g = fat_mtg(g) + g.properties()['order'] = orders(g, scale=g.max_scale()) # add order property + return g \ No newline at end of file diff --git a/src/openalea/hydroroot/millet/turtle.py b/src/openalea/hydroroot/millet/turtle_millet.py similarity index 69% rename from src/openalea/hydroroot/millet/turtle.py rename to src/openalea/hydroroot/millet/turtle_millet.py index a512317a..193a9eb7 100644 --- a/src/openalea/hydroroot/millet/turtle.py +++ b/src/openalea/hydroroot/millet/turtle_millet.py @@ -1,181 +1,252 @@ -from openalea.mtg.mtg import * -from openalea.mtg.io import * -from openalea.mtg.traversal import * -from openalea.mtg.turtle import * -from openalea.mtg.plantframe import* -from openalea.mtg.plantframe.color import * -from openalea.plantgl import * - - -from openalea.hydroroot.millet import architecture -import random -import numpy as np - -from collections import defaultdict - - - -############################################################ -# TODO : Move this code to mtg (CPL) - - -LR_root_angle= defaultdict(lambda: random.normalvariate(53.52674,15.14071)) #we store the lateral root angles in a default dictionary -#average_CR_angle= 20.03194444 -average_CR_angle= 30.03194444 -segment_length = 1e-4 - -tort = defaultdict(lambda: random.randint(-1,1)) - - - - - -def mtg_turtle_time(g, time, update_visitor=None, time_property='age' ): - ''' Compute the geometry on each node of the MTG using Turtle geometry. - - Update_visitor is a function called on each node in a pre order (parent before children). - This function allow to update the parameters and state variables of the vertices. - - :Example: - - >>> def grow(node, time): - - ''' - - g.properties()['geometry'] = {} - orders = g.property('order') - radius = g.property('radius') - max_scale = g.max_scale() - - start_dates = g.property(time_property) - - #seminal = g.Trunk(g.root, Scale=1) - - # - #lats= [g.Descendants(g.Successor(v)) for v in g if g.edge_type(v)=='+' and n.label !='Crown'] - - def visitor(g, v, turtle,time): - - n = g.node(v) - radius = n.radius * 1.e1 - length = n.length * 1.e3 - #LR_root_angle=30 - if g.edge_type(v) == '+': #For crown root angles, the size is weak, so we use a mean to estimate their branching - if n.label=='Crown': - turtle.down(average_CR_angle) - - - - else: #We use here a normal law to simulate the LR angle values seeing that they follow a Gaussian distribution - random.seed(v) - turtle.down(LR_root_angle[v]) - - #use rather curves to define crown roots tortuosity - # if n.label=='Crown': - # random.seed(v) - # turtle.down(tort[v]) - - - # if n.label == 'Seminal': - # #Define SR tortuosity - # if n.order == 0: - # random.seed(v) - # turtle.down(random.random()) - - # # #Define LR tortuosity - # else: - # random.seed(v) - # turtle.down(random.random()) - - if n.label == 'collet': - turtle.rollL(90.) - - turtle.setId(v) - turtle.setWidth(radius) - #for c in n.children(): - #if c.edge_type() == '+': - #turtle.rollL(130) - turtle.setColor(n.order+1) - if n.label=='Crown': - turtle.setColor(n.order+2) - turtle.rollL() - turtle.F(length) - pt = turtle.getPosition() - n.xyz = pt - - def traverse_with_turtle_time(g, vid, time, visitor=visitor): - turtle = PglTurtle() - turtle.down(180) - def push_turtle(v): - try: - start_tt = start_dates.get(v, time+1) - if start_tt > time: - return False - except: - pass - if g.edge_type(v) == '+': - turtle.push() - turtle.setId(v) - return True - - def pop_turtle(v): - try: - start_tt = start_dates.get(v, time+1) - if start_tt > time: - return False - except: - pass - if g.edge_type(v) == '+': - turtle.pop() - - if start_dates[vid] <= time: - visitor(g,vid,turtle,time) - #turtle.push() - plant_id = g.complex_at_scale(vid, scale=1) - for v in pre_order2_with_filter(g, vid, None, push_turtle, pop_turtle): - if v == vid: continue - # Done for the leaves - if start_dates.get(v,time+1) > time: - print('Do not consider ', v, time) - continue - visitor(g,v,turtle,time) - - scene = turtle.getScene() - return scene, g - - for plant_id in g.component_roots_at_scale_iter(g.root, scale=max_scale): - scene, g = traverse_with_turtle_time(g, plant_id, time) - return g, scene - - -def Plot(scene): - Viewer.display(scene) - -def compute_angle(g): - pass - -############################################################# - - -def test(save_image= False, dir='C:/Users/ndour/Desktop/mon dossier/my_Ph.D/Plant_images_BD/Film_MTG'): - from openalea.hydroroot.millet import architecture - g = architecture.millet_mtg(nb_vertices=200) - g = architecture.developmental_age(g,15) - compute_angle(g) - - ages = g.property('age') - age_max = max(ages.values()) - - #for t in range(1, age_max, 1): - for t in list(np.linspace(1,age_max,100)): - g, scene = mtg_turtle_time(g,t) - Plot(scene) - if save_image==True: - Viewer.saveSnapshot(dir+'/millet_%04d.png'%t) - # sous ipython - # %gui qt - - -#-------Display of the MTG -#test(save_image=False) - +from openalea.mtg.mtg import * +from openalea.mtg.io import * +from openalea.mtg.traversal import * +from openalea.mtg.turtle import * +from openalea.mtg.plantframe import* +from openalea.mtg.plantframe.color import * +from openalea.plantgl import * + + +from openalea.hydroroot.millet import architecture +import random +import numpy as np + +from collections import defaultdict + + + +############################################################ +# TODO : Move this code to mtg (CPL) + + +LR_root_angle= defaultdict(lambda: random.normalvariate(53.52674,15.14071)) #we store the lateral root angles in a default dictionary +#average_CR_angle= 20.03194444 +average_CR_angle= 30.03194444 +segment_length = 1e-4 + +tort = defaultdict(lambda: random.randint(-1,1)) +########################################################### + +def visitor2(g, v, turtle): + n = g.node(v) + + # --- Safe geometry default variables (meters) + length_m = getattr(n, "length", segment_length) # meters + radius = getattr(n, "radius", None) + + if radius is None: + order = getattr(n, "order", 0) + radius = max(0.02, 0.12 / (order + 1)) + + length = float(length_m) * 1e3 # keep your convention (m -> mm) + width = float(radius) * 1e3 + + label = getattr(n, "label", "") + order = getattr(n, "order", 0) + + # --------------------------------------------------------- + # COLLET: pivot only + # --------------------------------------------------------- + if label == "collet": + turtle.setId(v) + turtle.setWidth(width) + turtle.setColor(0) + turtle.rollL(90.0) # set reference frame for roots + n.xyz = turtle.getPosition() + return + + # --------------------------------------------------------- + # Branching angles for '+' edges + # --------------------------------------------------------- + if g.edge_type(v) == '+': + if label == "Crown": + turtle.down(average_CR_angle) + else: + # deterministic without global seeding + rng = random.Random(v) + turtle.down(rng.normalvariate(53.52674, 15.14071)) + + # --------------------------------------------------------- + # Tortuosity / curvature (small turns) + # --------------------------------------------------------- + rng = random.Random(v) + if label == "Crown": + turtle.down(tort[v]) + elif label in ("Seminal", "Lateral"): + turtle.down(rng.random()) + + # --------------------------------------------------------- + # Render + # --------------------------------------------------------- + turtle.setId(v) + if label=="Lateral": + turtle.setWidth(width/2) + else: + turtle.setWidth(width) + + # Color by type + if label == "Seminal": + turtle.setColor(1) + elif label == "Lateral": + turtle.setColor(2) + elif label == "Crown": + turtle.setColor(3) + else: + turtle.setColor(order + 1) + + turtle.rollL() + turtle.F(length) + n.xyz = turtle.getPosition() + + + + +def mtg_turtle_time(g, time, update_visitor=None, time_property='age' ): + ''' Compute the geometry on each node of the MTG using Turtle geometry. + + Update_visitor is a function called on each node in a pre order (parent before children). + This function allow to update the parameters and state variables of the vertices. + + :Example: + + >>> def grow(node, time): + + ''' + + g.properties()['geometry'] = {} + orders = g.property('order') + radius = g.property('radius') + max_scale = g.max_scale() + + start_dates = g.property(time_property) + + #seminal = g.Trunk(g.root, Scale=1) + + # + #lats= [g.Descendants(g.Successor(v)) for v in g if g.edge_type(v)=='+' and n.label !='Crown'] + + def visitor(g, v, turtle,time): + + n = g.node(v) + radius = n.radius * 1.e1 + length = n.length * 1.e3 + #LR_root_angle=30 + if g.edge_type(v) == '+': #For crown root angles, the size is weak, so we use a mean to estimate their branching + if n.label=='Crown': + turtle.down(average_CR_angle) + + + + else: #We use here a normal law to simulate the LR angle values seeing that they follow a Gaussian distribution + random.seed(v) + turtle.down(LR_root_angle[v]) + + #use rather curves to define crown roots tortuosity + # if n.label=='Crown': + # random.seed(v) + # turtle.down(tort[v]) + + + # if n.label == 'Seminal': + # #Define SR tortuosity + # if n.order == 0: + # random.seed(v) + # turtle.down(random.random()) + + # # #Define LR tortuosity + # else: + # random.seed(v) + # turtle.down(random.random()) + + if n.label == 'collet': + turtle.rollL(90.) + + turtle.setId(v) + turtle.setWidth(radius) + #for c in n.children(): + #if c.edge_type() == '+': + #turtle.rollL(130) + turtle.setColor(n.order+1) + if n.label=='Crown': + turtle.setColor(n.order+2) + turtle.rollL() + turtle.F(length) + pt = turtle.getPosition() + n.xyz = pt + + def traverse_with_turtle_time(g, vid, time, visitor=visitor): + turtle = PglTurtle() + turtle.down(180) + def push_turtle(v): + try: + start_tt = start_dates.get(v, time+1) + if start_tt > time: + return False + except: + pass + if g.edge_type(v) == '+': + turtle.push() + turtle.setId(v) + return True + + def pop_turtle(v): + try: + start_tt = start_dates.get(v, time+1) + if start_tt > time: + return False + except: + pass + if g.edge_type(v) == '+': + turtle.pop() + + if start_dates[vid] <= time: + visitor(g,vid,turtle,time) + #turtle.push() + plant_id = g.complex_at_scale(vid, scale=1) + for v in pre_order2_with_filter(g, vid, None, push_turtle, pop_turtle): + if v == vid: continue + # Done for the leaves + if start_dates.get(v,time+1) > time: + print('Do not consider ', v, time) + continue + visitor(g,v,turtle,time) + + scene = turtle.getScene() + return scene, g + + for plant_id in g.component_roots_at_scale_iter(g.root, scale=max_scale): + scene, g = traverse_with_turtle_time(g, plant_id, time) + return g, scene + + +def Plot(scene): + Viewer.display(scene) + +def compute_angle(g): + pass + +############################################################# + + +def test(save_image= False, dir='C:/Users/ndour/Desktop/mon dossier/my_Ph.D/Plant_images_BD/Film_MTG'): + from openalea.hydroroot.millet import architecture + g = architecture.millet_mtg(nb_vertices=200) + g = architecture.developmental_age(g,15) + compute_angle(g) + + ages = g.property('age') + age_max = max(ages.values()) + + #for t in range(1, age_max, 1): + for t in list(np.linspace(1,age_max,100)): + g, scene = mtg_turtle_time(g,t) + Plot(scene) + if save_image==True: + Viewer.saveSnapshot(dir+'/millet_%04d.png'%t) + # sous ipython + # %gui qt + + +#-------Display of the MTG +#test(save_image=False) + From a7d67d539492a2b4b8b6da436645e22015e0fc93 Mon Sep 17 00:00:00 2001 From: NDOUR Date: Mon, 16 Feb 2026 11:45:13 +0300 Subject: [PATCH 02/12] added new implementation to generate the root architecture and add visitor2 to turtle module to visualize MTGs --- .../millet/Simulating_archicture.ipynb | 20 +++++++++---------- .../hydroroot/millet/turtle_millet.py | 4 ++++ 2 files changed, 14 insertions(+), 10 deletions(-) diff --git a/src/openalea/hydroroot/millet/Simulating_archicture.ipynb b/src/openalea/hydroroot/millet/Simulating_archicture.ipynb index f16cd609..88c4e747 100644 --- a/src/openalea/hydroroot/millet/Simulating_archicture.ipynb +++ b/src/openalea/hydroroot/millet/Simulating_archicture.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 9, "id": "27a65c43-8622-4ff8-a641-b2afe382d303", "metadata": {}, "outputs": [], @@ -41,7 +41,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 10, "id": "937c0dcd-dc5c-4e6f-b001-0de89a5514e9", "metadata": {}, "outputs": [], @@ -89,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 11, "id": "4acc9050-4c07-4254-aa1d-e99860243994", "metadata": {}, "outputs": [], @@ -108,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 12, "id": "166b5c05-80d0-4350-898f-2437c439adc7", "metadata": {}, "outputs": [], @@ -127,17 +127,17 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 13, "id": "873d6970-5877-4148-9513-0e021b0fbe54", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -146,7 +146,7 @@ "from openalea.plantgl.algo.view import view # 2D view\n", "from openalea.hydroroot.display import mtg_scene\n", "import turtle_millet\n", - "importlib.reload(turtle)" + "importlib.reload(turtle_millet)" ] }, { @@ -159,7 +159,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 14, "id": "a86e39eb-51fd-4d5b-8073-2d1e81484457", "metadata": {}, "outputs": [ @@ -189,7 +189,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 15, "id": "43d254d4-ce11-4643-9ccf-4f8469a91696", "metadata": {}, "outputs": [ diff --git a/src/openalea/hydroroot/millet/turtle_millet.py b/src/openalea/hydroroot/millet/turtle_millet.py index 193a9eb7..1668cece 100644 --- a/src/openalea/hydroroot/millet/turtle_millet.py +++ b/src/openalea/hydroroot/millet/turtle_millet.py @@ -27,6 +27,10 @@ tort = defaultdict(lambda: random.randint(-1,1)) ########################################################### +#---------------------------------------------------------------------- +# Visitor function used for the new implementation of the architecture +#---------------------------------------------------------------------- + def visitor2(g, v, turtle): n = g.node(v) From f0b49ee20046823319268bf2d4e285a067b2332b Mon Sep 17 00:00:00 2001 From: pradal Date: Tue, 17 Feb 2026 08:46:00 +0100 Subject: [PATCH 03/12] Modify docstring for math --- src/openalea/hydroroot/conductance.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/openalea/hydroroot/conductance.py b/src/openalea/hydroroot/conductance.py index 3b58729a..3e27d9b4 100644 --- a/src/openalea/hydroroot/conductance.py +++ b/src/openalea/hydroroot/conductance.py @@ -156,7 +156,7 @@ def poiseuille(radius, length, viscosity=1e-3): # DEPRECATED def compute_k(g, k0 = 300.): - """Compute the radial conductance k (:math:`10^{-9}\ m.s^{-1}.MPa^{-1}`) of each vertex of the MTG. + r"""Compute the radial conductance k (:math:`10^{-9}\ m.s^{-1}.MPa^{-1}`) of each vertex of the MTG. .. math:: k = 2 \\pi r l k0 From 9c501ce670809cdb36efec71aa8ca5e98b333bb6 Mon Sep 17 00:00:00 2001 From: pradal Date: Tue, 17 Feb 2026 08:47:01 +0100 Subject: [PATCH 04/12] Remove unused UnivariateSpine import --- src/openalea/hydroroot/millet/conductance.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/openalea/hydroroot/millet/conductance.py b/src/openalea/hydroroot/millet/conductance.py index 9ff60ba0..f4e96379 100644 --- a/src/openalea/hydroroot/millet/conductance.py +++ b/src/openalea/hydroroot/millet/conductance.py @@ -5,7 +5,7 @@ """ import numpy as np -from scipy.interpolate import UnivariateSpline +#from scipy.interpolate import UnivariateSpline def fit_property_from_spline(g, spline, prop_in, prop_out): """ compute a property from another one using a spline transformation. From 93e90118c47d5bf1792615c39d36147c222a481a Mon Sep 17 00:00:00 2001 From: pradal Date: Tue, 17 Feb 2026 08:48:03 +0100 Subject: [PATCH 05/12] Modify import to run code --- src/openalea/hydroroot/millet/display_millet.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/openalea/hydroroot/millet/display_millet.py b/src/openalea/hydroroot/millet/display_millet.py index 6b978c39..5dfa4a1a 100644 --- a/src/openalea/hydroroot/millet/display_millet.py +++ b/src/openalea/hydroroot/millet/display_millet.py @@ -19,7 +19,7 @@ from openalea.plantgl import * import openalea.plantgl.all as pgl -from openalea.hydroroot.millet import turtle, law +from openalea.hydroroot.millet import turtle_millet as turtle, law from openalea.hydroroot.display import my_colormap ######################################################################################## From fc919415a9c59a52f5e24ef09a200b59d57c42ce Mon Sep 17 00:00:00 2001 From: pradal Date: Tue, 17 Feb 2026 08:48:46 +0100 Subject: [PATCH 06/12] update notebook --- .../millet/Simulating_archicture.ipynb | 77 ++++++++++++------- 1 file changed, 51 insertions(+), 26 deletions(-) diff --git a/src/openalea/hydroroot/millet/Simulating_archicture.ipynb b/src/openalea/hydroroot/millet/Simulating_archicture.ipynb index 88c4e747..3efda7e4 100644 --- a/src/openalea/hydroroot/millet/Simulating_archicture.ipynb +++ b/src/openalea/hydroroot/millet/Simulating_archicture.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 1, "id": "27a65c43-8622-4ff8-a641-b2afe382d303", "metadata": {}, "outputs": [], @@ -41,15 +41,14 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 3, "id": "937c0dcd-dc5c-4e6f-b001-0de89a5514e9", "metadata": {}, "outputs": [], "source": [ - "import architecture\n", - "from architecture import millet_mtg2\n", - "import importlib\n", - "importlib.reload(architecture)\n", + "from openalea.hydroroot.millet.architecture import millet_mtg2\n", + "#import importlib\n", + "#importlib.reload(architecture)\n", "\n", "g57 = millet_mtg2(\n", " seed=1,\n", @@ -89,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 4, "id": "4acc9050-4c07-4254-aa1d-e99860243994", "metadata": {}, "outputs": [], @@ -108,7 +107,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 5, "id": "166b5c05-80d0-4350-898f-2437c439adc7", "metadata": {}, "outputs": [], @@ -127,26 +126,15 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 6, "id": "873d6970-5877-4148-9513-0e021b0fbe54", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "from openalea.plantgl.algo.view import view # 2D view\n", "from openalea.hydroroot.display import mtg_scene\n", - "import turtle_millet\n", - "importlib.reload(turtle_millet)" + "from openalea.hydroroot.millet import turtle_millet\n", + "#importlib.reload(turtle_millet)" ] }, { @@ -159,7 +147,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 7, "id": "a86e39eb-51fd-4d5b-8073-2d1e81484457", "metadata": {}, "outputs": [ @@ -189,7 +177,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 8, "id": "43d254d4-ce11-4643-9ccf-4f8469a91696", "metadata": {}, "outputs": [ @@ -211,9 +199,39 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "3edb203c-1e3a-4b4e-a026-dbd045cd9cf3", "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['edge_type',\n", + " 'label',\n", + " 'order',\n", + " 'position_index',\n", + " 'length',\n", + " 'position',\n", + " 'relative_position',\n", + " 'radius',\n", + " 'color',\n", + " 'xyz']" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "g109.property_names()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8057eb02-f66c-43db-b3f4-44c9a3796a77", + "metadata": {}, "outputs": [], "source": [] } @@ -235,6 +253,13 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.12" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } } }, "nbformat": 4, From a7113b235de1509dfea0dfe9a8e8c87a4df2ce68 Mon Sep 17 00:00:00 2001 From: pradal Date: Tue, 17 Feb 2026 08:51:28 +0100 Subject: [PATCH 07/12] update --- doc/example/millet/WIP_notebook.ipynb | 399 +++++++++++++------------- 1 file changed, 192 insertions(+), 207 deletions(-) diff --git a/doc/example/millet/WIP_notebook.ipynb b/doc/example/millet/WIP_notebook.ipynb index b3b98124..8853e54e 100644 --- a/doc/example/millet/WIP_notebook.ipynb +++ b/doc/example/millet/WIP_notebook.ipynb @@ -25,39 +25,41 @@ }, { "cell_type": "code", + "execution_count": 1, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:13:44.974379Z", "start_time": "2025-09-12T14:13:44.535328Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "%matplotlib inline\n", "%gui qt5" - ], - "outputs": [], - "execution_count": 1 + ] }, { "cell_type": "code", + "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:13:45.521732Z", "start_time": "2025-09-12T14:13:45.517165Z" } }, + "outputs": [], "source": [ "#Seminal\n", - "primary_length = 0.7\n", - "segment_length = 1.e-4\n", + "primary_length = 0.7 # 70 cm\n", + "segment_length = 1.e-4 # 0.1 mm\n", "n = int(primary_length/segment_length)\n", "nude_tip_length = (primary_length*0.15) / 0.75 # for a root 75cm-root we computed a 15cm nude tip length, so for a given root length we infer the corresponding length of apical zone\n", - "lamda = int(nude_tip_length/segment_length)\n", - "delta = 2.e-3 #branching rate\n", + "lamda = int(nude_tip_length/segment_length) # nb of segments without ramification from the tip\n", + "delta = 2.e-3 # latency time / m\n", "beta = 0.25\n", "branching_delay = int(delta / segment_length)\n", "\n", @@ -65,9 +67,7 @@ "crown_length = 0.12\n", "m = int(crown_length/segment_length)\n", "crown_nb = 2\n" - ], - "outputs": [], - "execution_count": 2 + ] }, { "cell_type": "markdown", @@ -79,16 +79,18 @@ }, { "cell_type": "code", + "execution_count": 3, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:13:47.717315Z", "start_time": "2025-09-12T14:13:47.327414Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", @@ -96,56 +98,51 @@ "from openalea.hydroroot import radius\n", "from openalea.hydroroot.display import plot\n", "from openalea.plantgl.all import Viewer" - ], - "outputs": [], - "execution_count": 3 + ] }, { "cell_type": "code", + "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:13:48.369433Z", "start_time": "2025-09-12T14:13:48.363253Z" } }, + "outputs": [], "source": [ "filename = 'lr_length_law_data.csv'\n", "xy = pd.read_csv(filename,sep=';')" - ], - "outputs": [], - "execution_count": 4 + ] }, { "cell_type": "code", + "execution_count": 5, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:13:49.392208Z", "start_time": "2025-09-12T14:13:49.299978Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, - "source": [ - "LR_length_law = law.expovariate_law(xy, size=5e-2, segment_length =1e-4, plot=True)" - ], "outputs": [ { "data": { + "image/png": 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", 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" + ] }, "metadata": {}, - "output_type": "display_data", - "jetTransient": { - "display_id": null - } + "output_type": "display_data" } ], - "execution_count": 5 + "source": [ + "LR_length_law = law.expovariate_law(xy, size=5e-2, segment_length =1e-4, plot=True)" + ] }, { "cell_type": "markdown", @@ -157,16 +154,18 @@ }, { "cell_type": "code", + "execution_count": 6, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:13:51.246573Z", "start_time": "2025-09-12T14:13:51.105237Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "#g = architecture.millet_mtg(LR_length_law = LR_length_law,nb_vertices=1500)\n", "g = architecture.millet_mtg(nb_vertices = n,\n", @@ -176,42 +175,40 @@ " nb_crown = crown_nb,\n", " LR_length_law = LR_length_law\n", " )" - ], - "outputs": [], - "execution_count": 6 + ] }, { "cell_type": "code", + "execution_count": 7, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:13:52.060887Z", "start_time": "2025-09-12T14:13:51.958051Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "g = radius.compute_length(g)\n", "g = radius.compute_relative_position(g)" - ], - "outputs": [], - "execution_count": 7 + ] }, { "cell_type": "code", + "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:13:53.511264Z", "start_time": "2025-09-12T14:13:52.729332Z" } }, + "outputs": [], "source": [ "plot(g)" - ], - "outputs": [], - "execution_count": 8 + ] }, { "cell_type": "markdown", @@ -230,86 +227,83 @@ }, { "cell_type": "code", + "execution_count": 9, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:03.091679Z", "start_time": "2025-09-12T14:14:03.082450Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "sr_growth_data = 'seminal_growth_109.csv'\n", "pq = pd.read_csv(sr_growth_data, sep=';')" - ], - "outputs": [], - "execution_count": 9 + ] }, { "cell_type": "code", + "execution_count": 10, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:03.798532Z", "start_time": "2025-09-12T14:14:03.717403Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, - "source": [ - "f = law.age_law(pq, segment_length = 1e-4,scale_x= 1, scale_y = 1.e-2, plot= True)" - ], "outputs": [ { "data": { + "image/png": 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", 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" + ] }, "metadata": {}, - "output_type": "display_data", - "jetTransient": { - "display_id": null - } + "output_type": "display_data" } ], - "execution_count": 10 + "source": [ + "f = law.age_law(pq, segment_length = 1e-4,scale_x= 1, scale_y = 1.e-2, plot= True)" + ] }, { "cell_type": "code", + "execution_count": 11, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:04.603898Z", "start_time": "2025-09-12T14:14:04.498658Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "g = age.compute_age_with_constant_growth_speed(g)" - ], - "outputs": [], - "execution_count": 11 + ] }, { "cell_type": "code", + "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:14:06.121852Z", "start_time": "2025-09-12T14:14:05.417273Z" } }, + "outputs": [], "source": [ "plot(g, prop_cmap='age')" - ], - "outputs": [], - "execution_count": 12 + ] }, { "cell_type": "markdown", @@ -328,136 +322,127 @@ }, { "cell_type": "code", + "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:14:09.327316Z", "start_time": "2025-09-12T14:14:09.324819Z" } }, + "outputs": [], "source": [ "def func(k, a, b):\n", " return a * np.log(k) + b" - ], - "outputs": [], - "execution_count": 13 + ] }, { "cell_type": "code", + "execution_count": 14, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:10.497439Z", "start_time": "2025-09-12T14:14:10.489155Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "#Estimate diameter law of seminal root\n", "sr_data = 'SR_diameters.csv'\n", "xy = pd.read_csv(sr_data, sep=';')" - ], - "outputs": [], - "execution_count": 14 + ] }, { "cell_type": "code", + "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:14:11.176364Z", "start_time": "2025-09-12T14:14:11.089882Z" } }, - "source": [ - "sr_diameter_law = law.diameter_law(xy,function=func, segment_length = 1e-4, plot= True)" - ], "outputs": [ { "data": { + "image/png": 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", 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" + ] }, "metadata": {}, - "output_type": "display_data", - "jetTransient": { - "display_id": null - } + "output_type": "display_data" } ], - "execution_count": 15 + "source": [ + "sr_diameter_law = law.diameter_law(xy,function=func, segment_length = 1e-4, plot= True)" + ] }, { "cell_type": "code", + "execution_count": 16, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:11.905449Z", "start_time": "2025-09-12T14:14:11.826261Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, - "source": [ - "#Estimate diameter law of crown root\n", - "cr_data = 'CR_diameters.csv'\n", - "cr = pd.read_csv(cr_data, sep=';')\n", - "cr_diameter_law = law.diameter_law(cr,function=func, segment_length = 1e-4, plot= True)" - ], "outputs": [ { "data": { + "image/png": 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", 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" + ] }, "metadata": {}, - "output_type": "display_data", - "jetTransient": { - "display_id": null - } + "output_type": "display_data" } ], - "execution_count": 16 + "source": [ + "#Estimate diameter law of crown root\n", + "cr_data = 'CR_diameters.csv'\n", + "cr = pd.read_csv(cr_data, sep=';')\n", + "cr_diameter_law = law.diameter_law(cr,function=func, segment_length = 1e-4, plot= True)" + ] }, { "cell_type": "code", + "execution_count": 17, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:12.636778Z", "start_time": "2025-09-12T14:14:12.546751Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, - "source": [ - "#Estimate diameter law of lateral root\n", - "lr_data = 'LR_diameters.csv'\n", - "ij = pd.read_csv(lr_data, sep=';')\n", - "lr_diameter_law = law.diameter_law(ij,function=func, segment_length = 1e-4, plot= True)" - ], "outputs": [ { "data": { + "image/png": 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", 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" + ] }, "metadata": {}, - "output_type": "display_data", - "jetTransient": { - "display_id": null - } + "output_type": "display_data" } ], - "execution_count": 17 + "source": [ + "#Estimate diameter law of lateral root\n", + "lr_data = 'LR_diameters.csv'\n", + "ij = pd.read_csv(lr_data, sep=';')\n", + "lr_diameter_law = law.diameter_law(ij,function=func, segment_length = 1e-4, plot= True)" + ] }, { "cell_type": "markdown", @@ -468,55 +453,55 @@ }, { "cell_type": "code", + "execution_count": 18, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:14.649142Z", "start_time": "2025-09-12T14:14:14.478819Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "g= radius.compute_length(g)\n", "g = law.compute_radius_from_laws(g,seminal_RootDiameter_law = sr_diameter_law,\n", " crown_RootDiameter_law = cr_diameter_law,\n", " lr_RootDiameter_law = lr_diameter_law)" - ], - "outputs": [], - "execution_count": 18 + ] }, { "cell_type": "code", + "execution_count": 19, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:15.524958Z", "start_time": "2025-09-12T14:14:15.500680Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, - "source": [ - "g, surface = radius.compute_surface(g)\n", - "g, volume = radius.compute_volume(g)\n", - "\n", - "print('Surface : ', surface)\n", - "print('Volume : ', volume)" - ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Surface : 0.008573641102676754\n", - "Volume : 1.5536280656653754e-06\n" + "Surface : 0.008946083486900883\n", + "Volume : 1.6257012403019063e-06\n" ] } ], - "execution_count": 19 + "source": [ + "g, surface = radius.compute_surface(g)\n", + "g, volume = radius.compute_volume(g)\n", + "\n", + "print('Surface : ', surface)\n", + "print('Volume : ', volume)" + ] }, { "cell_type": "markdown", @@ -528,22 +513,22 @@ }, { "cell_type": "code", + "execution_count": 20, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:12:16.290915Z", "start_time": "2025-09-12T14:12:15.798336Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "#display_millet.plot_mtg(g,save_image = False,static = True)\n", "plot(g, prop_cmap = 'radius')" - ], - "outputs": [], - "execution_count": 20 + ] }, { "cell_type": "markdown", @@ -562,16 +547,18 @@ }, { "cell_type": "code", + "execution_count": 21, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:23.856465Z", "start_time": "2025-09-12T14:14:23.851070Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "length_data = [0., 0.03, 0.05, 0.7], [0., 0., 0.01, 0.13]\n", "radial_conductivity_data = (\n", @@ -588,9 +575,7 @@ "Jv = 0.1\n", "psi_e = 0.4\n", "psi_base = 0.1\n" - ], - "outputs": [], - "execution_count": 20 + ] }, { "cell_type": "markdown", @@ -601,16 +586,18 @@ }, { "cell_type": "code", + "execution_count": 22, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:26.493390Z", "start_time": "2025-09-12T14:14:26.122257Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "#Computation of g, surface, volume, Keq, Jv_global \n", "\n", @@ -627,9 +614,7 @@ " axial_conductivity_data=None,\n", " radial_conductivity_data=radial_conductivity_data\n", " )\n" - ], - "outputs": [], - "execution_count": 21 + ] }, { "cell_type": "markdown", @@ -641,22 +626,22 @@ }, { "cell_type": "code", + "execution_count": 23, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:17:52.779528Z", "start_time": "2025-09-12T14:17:52.190629Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ " display_millet.plot_property(g,static=True, t_fixed=21, prop_cmap='j', lognorm = True)\n", " # plot(g, prop_cmap='j', lognorm = True)" - ], - "outputs": [], - "execution_count": 32 + ] }, { "cell_type": "markdown", @@ -675,16 +660,18 @@ }, { "cell_type": "code", + "execution_count": 24, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T13:48:58.949222Z", "start_time": "2025-09-12T13:48:58.909901Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "\n", "soil_potential = (\n", @@ -694,9 +681,7 @@ "x, y = soil_potential\n", "\n", "g = law.add_soil(g, soil_potential)" - ], - "outputs": [], - "execution_count": 28 + ] }, { "cell_type": "markdown", @@ -707,16 +692,18 @@ }, { "cell_type": "code", + "execution_count": 25, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T13:49:02.355198Z", "start_time": "2025-09-12T13:49:01.815098Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "g, surface, volume, Keq, Jv_global = water.hydrolic(\n", " g,\n", @@ -731,23 +718,21 @@ " axial_conductivity_data=None,\n", " radial_conductivity_data=radial_conductivity_data\n", " )\n" - ], - "outputs": [], - "execution_count": 29 + ] }, { "cell_type": "code", + "execution_count": 26, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T13:49:04.562898Z", "start_time": "2025-09-12T13:49:03.546473Z" } }, + "outputs": [], "source": [ "plot(g, prop_cmap='j', lognorm = True)" - ], - "outputs": [], - "execution_count": 30 + ] }, { "cell_type": "code", @@ -773,7 +758,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.5" + "version": "3.13.12" }, "widgets": { "application/vnd.jupyter.widget-state+json": { From 5595f2c87c47d9b6415f1779cf7f30733fa8aff8 Mon Sep 17 00:00:00 2001 From: NDOUR Date: Thu, 19 Feb 2026 22:20:31 +0300 Subject: [PATCH 08/12] updating architecture simulation and calculation of hydraulic architecture --- doc/example/example_generated_archi.ipynb | 94 +- doc/example/example_parameter_class.ipynb | 2 +- doc/example/millet/.~SR_diameters.csv | 19 + doc/example/millet/SR_diameters.csv | 38 +- .../millet/Simulating_archicture.ipynb | 927 ++++++++++++++++++ doc/example/millet/WIP_notebook.ipynb | 392 ++++---- .../millet/Simulating_archicture.ipynb | 242 ----- src/openalea/hydroroot/millet/conductance.py | 56 +- src/openalea/hydroroot/millet/law.py | 158 +++ src/openalea/hydroroot/millet/turtle.py | 256 +++++ src/openalea/hydroroot/read_file.py | 4 +- 11 files changed, 1684 insertions(+), 504 deletions(-) create mode 100644 doc/example/millet/.~SR_diameters.csv create mode 100644 doc/example/millet/Simulating_archicture.ipynb delete mode 100644 src/openalea/hydroroot/millet/Simulating_archicture.ipynb create mode 100644 src/openalea/hydroroot/millet/turtle.py diff --git a/doc/example/example_generated_archi.ipynb b/doc/example/example_generated_archi.ipynb index d1cd1c39..c4a1608b 100644 --- a/doc/example/example_generated_archi.ipynb +++ b/doc/example/example_generated_archi.ipynb @@ -10,16 +10,21 @@ }, "tags": [] }, - "source": "# Simulated root" + "source": [ + "# Simulated root" + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "Perform a water flow simulation on a simulated root architecture.", - "id": "200d11f255a25a7d" + "id": "200d11f255a25a7d", + "metadata": {}, + "source": [ + "Perform a water flow simulation on a simulated root architecture." + ] }, { "cell_type": "code", + "execution_count": 1, "id": "60bae6a9-56d0-49d9-aa69-c066b0742d19", "metadata": { "ExecuteTime": { @@ -27,30 +32,34 @@ "start_time": "2025-10-28T13:57:13.589657Z" } }, + "outputs": [], "source": [ "import pandas \n", "from openalea.hydroroot.main import root_builder, hydroroot_flow\n", "from openalea.widgets.plantgl import PlantGL # notebook viewer 3D\n", "from openalea.plantgl.algo.view import view # 2D view\n", "from openalea.hydroroot.display import mtg_scene" - ], - "outputs": [], - "execution_count": 1 + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "## Architecture generation", - "id": "5efba74fe9cb1ff1" + "id": "5efba74fe9cb1ff1", + "metadata": {}, + "source": [ + "## Architecture generation" + ] }, { "cell_type": "markdown", "id": "8a6fe0a8-b862-4e39-983f-28271db0c8ca", "metadata": {}, - "source": "The Hydroroot generator of architecture is described in ([Boursiac et al., 2022](https://doi.org/10.1093/plphys/kiac281)). It uses length distribution law for laterals, specific to a given species, to generate realistic architecture. Here we use the length laws determinated for Arabidopsis Col0." + "source": [ + "The Hydroroot generator of architecture is described in ([Boursiac et al., 2022](https://doi.org/10.1093/plphys/kiac281)). It uses length distribution law for laterals, specific to a given species, to generate realistic architecture. Here we use the length laws determinated for Arabidopsis Col0." + ] }, { "cell_type": "code", + "execution_count": 2, "id": "acaa9e31-9813-4455-8b84-96c09976ba77", "metadata": { "ExecuteTime": { @@ -58,15 +67,14 @@ "start_time": "2025-10-28T13:57:14.336211Z" } }, + "outputs": [], "source": [ "length_data = [] # length law used to generate arabidopsis realistic architecture\n", "for filename in ['data/length_LR_order1_160615.csv','data/length_LR_order2_160909.csv']:\n", " df = pandas.read_csv(filename, sep = ';', header = 1, names = ('LR_length_mm', 'relative_distance_to_tip'))\n", " df.sort_values(by = 'relative_distance_to_tip', inplace = True)\n", " length_data.append(df)" - ], - "outputs": [], - "execution_count": 2 + ] }, { "cell_type": "markdown", @@ -85,6 +93,7 @@ }, { "cell_type": "code", + "execution_count": 3, "id": "2141a9a8-76fa-45aa-a177-1a361eef4827", "metadata": { "ExecuteTime": { @@ -92,13 +101,12 @@ "start_time": "2025-10-28T13:57:14.388558Z" } }, + "outputs": [], "source": [ "g, primary_length, total_length, surface, seed = root_builder(primary_length = 0.13, delta = 2.0e-3, nude_length = 2.0e-2, segment_length = 1.0e-4,\n", " length_data = length_data, branching_variability = 0.25, order_max = 4.0, order_decrease_factor = 0.7,\n", " ref_radius = 7.0e-5)" - ], - "outputs": [], - "execution_count": 3 + ] }, { "cell_type": "markdown", @@ -112,6 +120,7 @@ }, { "cell_type": "code", + "execution_count": 4, "id": "d5be93d4-38d5-4dc6-a85c-a5c884493f6f", "metadata": { "ExecuteTime": { @@ -119,12 +128,11 @@ "start_time": "2025-10-28T13:57:14.475667Z" } }, + "outputs": [], "source": [ "k_radial_data=([0, 0.2],[30.0,30.0])\n", "K_axial_data=([0, 0.2],[3.0e-7,4.0e-4])" - ], - "outputs": [], - "execution_count": 4 + ] }, { "cell_type": "markdown", @@ -136,6 +144,7 @@ }, { "cell_type": "code", + "execution_count": 5, "id": "e6de7a98-fa43-4006-a957-783ff9a32d4d", "metadata": { "ExecuteTime": { @@ -143,14 +152,14 @@ "start_time": "2025-10-28T13:57:14.526004Z" } }, + "outputs": [], "source": [ "g, keq, jv = hydroroot_flow(g, psi_e = 0.4, psi_base = 0.1, axial_conductivity_data = K_axial_data, radial_conductivity_data = k_radial_data)" - ], - "outputs": [], - "execution_count": 5 + ] }, { "cell_type": "code", + "execution_count": 6, "id": "831c5617-0a70-496b-b130-6a35ca651869", "metadata": { "ExecuteTime": { @@ -158,9 +167,6 @@ "start_time": "2025-10-28T13:57:14.597981Z" } }, - "source": [ - "print(keq,jv)" - ], "outputs": [ { "name": "stdout", @@ -170,7 +176,9 @@ ] } ], - "execution_count": 6 + "source": [ + "print(keq,jv)" + ] }, { "cell_type": "markdown", @@ -184,38 +192,38 @@ }, { "cell_type": "code", + "execution_count": 7, "id": "f154d253-5429-4479-a32e-5fb70325f49b", "metadata": { + "ExecuteTime": { + "end_time": "2025-10-28T13:57:15.034327Z", + "start_time": "2025-10-28T13:57:14.647103Z" + }, "editable": true, "slideshow": { "slide_type": "" }, - "tags": [], - "ExecuteTime": { - "end_time": "2025-10-28T13:57:15.034327Z", - "start_time": "2025-10-28T13:57:14.647103Z" - } + "tags": [] }, - "source": [ - "s = mtg_scene(g, prop_cmap = 'j') # create a scene from the mtg with the property j is the radial flux in ul/s\n", - "view(s) # use PlantGL(s) to display in 3D" - ], "outputs": [ { "data": { + "image/png": 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", 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" + ] }, - "metadata": {}, - "output_type": "display_data", "jetTransient": { "display_id": null - } + }, + "metadata": {}, + "output_type": "display_data" } ], - "execution_count": 7 + "source": [ + "s = mtg_scene(g, prop_cmap = 'j') # create a scene from the mtg with the property j is the radial flux in ul/s\n", + "view(s) # use PlantGL(s) to display in 3D" + ] } ], "metadata": { @@ -234,7 +242,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.11" + "version": "3.13.12" }, "widgets": { "application/vnd.jupyter.widget-state+json": { diff --git a/doc/example/example_parameter_class.ipynb b/doc/example/example_parameter_class.ipynb index 27a6cb2b..9606dd94 100644 --- a/doc/example/example_parameter_class.ipynb +++ b/doc/example/example_parameter_class.ipynb @@ -443,7 +443,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.12" + "version": "3.13.12" }, "widgets": { "application/vnd.jupyter.widget-state+json": { diff --git a/doc/example/millet/.~SR_diameters.csv b/doc/example/millet/.~SR_diameters.csv new file mode 100644 index 00000000..25d8131f --- /dev/null +++ b/doc/example/millet/.~SR_diameters.csv @@ -0,0 +1,19 @@ +position(cm),root_diameter(µm) +6.846,504.0315 +27.5,507.2155 +14.686,378.7185 +26.8,615.9995 +1.271,327.473 +5.524,388.558 +9.963,465.4815 +14.631,455.2715 +14.631,455.2715 +18.87,491.699 +18.87,491.699 +18.87,491.699 +5.638,336.655 +10.556,286.85 +3.624,347.4265 +6.444,459.23975 +7.985,505.649 +29.287,540.9115 diff --git a/doc/example/millet/SR_diameters.csv b/doc/example/millet/SR_diameters.csv index 60b67027..c16759c2 100644 --- a/doc/example/millet/SR_diameters.csv +++ b/doc/example/millet/SR_diameters.csv @@ -1,19 +1,19 @@ -position(cm);root_diameter(µm) -6.846;504.0315 -27.5;507.2155 -14.686;378.7185 -26.8;615.9995 -1.271;327.473 -5.524;388.558 -9.963;465.4815 -14.631;455.2715 -14.631;455.2715 -18.87;491.699 -18.87;491.699 -18.87;491.699 -5.638;336.655 -10.556;286.85 -3.624;347.4265 -6.444;459.23975 -7.985;505.649 -29.287;540.9115 +position(cm),root_diameter(µm) +6.846,504.0315 +27.5,507.2155 +14.686,378.7185 +26.8,615.9995 +1.271,327.473 +5.524,388.558 +9.963,465.4815 +14.631,455.2715 +14.631,455.2715 +18.87,491.699 +18.87,491.699 +18.87,491.699 +5.638,336.655 +10.556,286.85 +3.624,347.4265 +6.444,459.23975 +7.985,505.649 +29.287,540.9115 diff --git a/doc/example/millet/Simulating_archicture.ipynb b/doc/example/millet/Simulating_archicture.ipynb new file mode 100644 index 00000000..b0527107 --- /dev/null +++ b/doc/example/millet/Simulating_archicture.ipynb @@ -0,0 +1,927 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2e095779-4a3f-4330-a131-d5fac2b265f5", + "metadata": {}, + "source": [ + "## Load packages" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "27a65c43-8622-4ff8-a641-b2afe382d303", + "metadata": {}, + "outputs": [], + "source": [ + "import openalea.mtg as mtg\n", + "from openalea.hydroroot.main import root_builder\n", + "from openalea.hydroroot.radius import compute_length, compute_relative_position" + ] + }, + { + "cell_type": "markdown", + "id": "c7c58eb3-8e5c-40fe-8149-786209324327", + "metadata": {}, + "source": [ + "## Compute architecture from architectural parameters and laws" + ] + }, + { + "cell_type": "markdown", + "id": "6fef8c24-8666-48c9-b93c-7bfa8d0783d9", + "metadata": {}, + "source": [ + "| Lignée | No. de plantes | Longueur racine séminale (cm) Moyenne (e.t) | No. de racines coronaires Moyenne (e.t) | No. de racines latérales Moyenne (e.t) |\n", + "|-------|----------------|----------------------------------------------|-----------------------------------------|----------------------------------------|\n", + "| 57 | 46 | 10.3 (6.4) | 0.17 (0.68) | 3.1 (3.9) |\n", + "| 109 | 76 | 20.2 (8.6) | 0.54 (1.1) | 14.1 (14.3) |\n" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "937c0dcd-dc5c-4e6f-b001-0de89a5514e9", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot.millet import architecture, age\n", + "from openalea.hydroroot.millet.architecture import millet_mtg2\n", + "import importlib\n", + "importlib.reload(architecture)\n", + "\n", + "g57 = millet_mtg2(\n", + " seed=1,\n", + " primary_length=0.103,\n", + " nude_tip_length=0.03,\n", + " nb_crown=1,\n", + " n_laterals_primary=3, # explicit count\n", + " lateral_length=0.02,\n", + " segment_length=1e-3, \n", + ")\n", + "g109 = millet_mtg2(\n", + " seed=1,\n", + " primary_length=0.202,\n", + " nude_tip_length=0.03,\n", + " nb_crown=4,\n", + " n_laterals_primary=10, # explicit count\n", + " lateral_length=0.05,\n", + " segment_length=1e-3, \n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "0a0912ce-fafd-4e40-83d6-4e31837419d6", + "metadata": {}, + "source": [ + "## Compute length and position" + ] + }, + { + "cell_type": "markdown", + "id": "873b51aa-7d08-4888-9dea-b136342e5fef", + "metadata": {}, + "source": [ + "* **57**" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "4acc9050-4c07-4254-aa1d-e99860243994", + "metadata": {}, + "outputs": [], + "source": [ + "g57 = compute_length(g57)\n", + "g57 = compute_relative_position(g57)" + ] + }, + { + "cell_type": "markdown", + "id": "d55a647f-ff0e-439c-a207-87f2e9be5519", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "166b5c05-80d0-4350-898f-2437c439adc7", + "metadata": {}, + "outputs": [], + "source": [ + "g109 = compute_length(g109)\n", + "g109 = compute_relative_position(g109)" + ] + }, + { + "cell_type": "markdown", + "id": "b461601a-aa45-4bf6-8490-96cb23cc12df", + "metadata": {}, + "source": [ + "## Compute diameter property using evolution laws" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "efb443dc-67fe-467d-98f5-6af2d7116d15", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot import read_file\n", + "from importlib import reload" + ] + }, + { + "cell_type": "markdown", + "id": "a642410b-69ea-40b8-978c-bc4e45b09fce", + "metadata": {}, + "source": [ + "- **Load diameter data for the different root types**" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "67b9afea-c0bb-4ff2-8556-fd8cf599d6df", + "metadata": {}, + "outputs": [], + "source": [ + "sr_xy = read_file.readCSVFile(\"SR_diameters.csv\", delimiter=\",\")\n", + "cr_xy = read_file.readCSVFile(\"CR_diameters.csv\", delimiter=\";\")\n", + "lr_xy = read_file.readCSVFile(\"LR_diameters.csv\", delimiter=\";\")" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "ad233424-3b4e-498e-95d8-d5dcb0f4a49f", + "metadata": {}, + "outputs": [], + "source": [ + "# convert to dataframe\n", + "import pandas as pd\n", + "sr_xy = pd.DataFrame(sr_xy)\n", + "cr_xy = pd.DataFrame(cr_xy)\n", + "lr_xy = pd.DataFrame(lr_xy)" + ] + }, + { + "cell_type": "markdown", + "id": "11813448-4f1c-41d9-b582-b383ef824c7e", + "metadata": {}, + "source": [ + "- **Estimate the laws from the data by determing the best params of the affine function**" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "7abdbf06-5022-4418-a3b5-2578a597cfac", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from openalea.hydroroot.millet import law; reload(law)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "2236335a-f36f-4717-8720-16f70ea99aa6", + "metadata": {}, + "outputs": [], + "source": [ + "def affine_f(x, a, b):\n", + " return a * x + b" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "9086ee80-fbb9-4e58-b55a-dc48ebb6b861", + "metadata": {}, + "outputs": [], + "source": [ + "sr_diam_law = law.diameter_law2(sr_xy, function=affine_f, plot=False)\n", + "cr_diam_law = law.diameter_law2(cr_xy, function=affine_f, plot=False)\n", + "lr_diam_law = law.diameter_law2(lr_xy, function=affine_f, plot=False)" + ] + }, + { + "cell_type": "markdown", + "id": "39df3861-836f-4e68-8246-638bc4c42850", + "metadata": {}, + "source": [ + "- **Calculate diameter and radius**" + ] + }, + { + "cell_type": "markdown", + "id": "52149881-9f96-4410-8e70-70da271399ea", + "metadata": {}, + "source": [ + " **57** " + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "99295687-87c2-48a6-abfe-255b66a1e64b", + "metadata": {}, + "outputs": [], + "source": [ + "# calculate diameter\n", + "g57 = law.compute_diameter_from_laws(g57, seminal_RootDiameter_law= sr_diam_law,crown_RootDiameter_law= cr_diam_law,lr_RootDiameter_law= lr_diam_law)\n", + "# calculate radius\n", + "g57 = law.compute_radius_from_diameter(g57)" + ] + }, + { + "cell_type": "markdown", + "id": "f41cd528-53fd-4939-9184-389f29b8f399", + "metadata": {}, + "source": [ + " **109** " + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "f2234503-eafc-426e-9b67-d05144ed0036", + "metadata": {}, + "outputs": [], + "source": [ + "# calculate diameter\n", + "g109 = law.compute_diameter_from_laws(g109, seminal_RootDiameter_law= sr_diam_law,crown_RootDiameter_law= cr_diam_law,lr_RootDiameter_law= lr_diam_law)\n", + "# calculate radius\n", + "g109 = law.compute_radius_from_diameter(g109)" + ] + }, + { + "cell_type": "markdown", + "id": "e01ec6f7-e2e2-4317-b0ac-934f6b8526be", + "metadata": {}, + "source": [ + "## Compute age of each vertex on the MTG" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "b11b1744-4419-4a48-aeb3-25664dafa6d0", + "metadata": {}, + "outputs": [], + "source": [ + "g57 = age.compute_age_with_constant_growth_speed(g57)\n", + "g109 = age.compute_age_with_constant_growth_speed(g109)" + ] + }, + { + "cell_type": "markdown", + "id": "7d196eb2-3123-4122-b853-cc0676e18d19", + "metadata": {}, + "source": [ + "## Visualizing architectures" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "873d6970-5877-4148-9513-0e021b0fbe54", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.plantgl.algo.view import view # 2D view\n", + "from openalea.widgets.plantgl import PlantGL # notebook viewer 3D\n", + "from openalea.hydroroot.display import mtg_scene\n", + "from openalea.hydroroot.millet import turtle as turtle_millet" + ] + }, + { + "cell_type": "markdown", + "id": "08c19c5e-b830-4330-80b4-50b9829ff8f6", + "metadata": {}, + "source": [ + "* 57" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "bf6594b5-d261-45da-a51d-fe0545611cf7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "s = mtg_scene(g57,prop_cmap='age') \n", + "view(s) " + ] + }, + { + "cell_type": "markdown", + "id": "cfdc8748-e7b6-4a2d-a185-6e510d8d1c1e", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "43d254d4-ce11-4643-9ccf-4f8469a91696", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "s = mtg_scene(g109,prop_cmap='age') \n", + "view(s) # use PlantGL(s) to display in 3D" + ] + }, + { + "cell_type": "markdown", + "id": "a230e93c-02d4-4c49-880b-2cadb59f26cd", + "metadata": {}, + "source": [ + "## Calculation of axial conductances K from the evolution laws" + ] + }, + { + "cell_type": "markdown", + "id": "e365d8e1-e368-4d67-ab47-92f8606d0b3d", + "metadata": {}, + "source": [ + "### Define laws for the different root types" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "d917bf82-b596-4b14-b33d-55a41c08254e", + "metadata": {}, + "outputs": [], + "source": [ + "# Laws are defined with respect to relative position, so experimental laws are slightly modified\n", + "sr_law = lambda x: 2135.05* (x * 29.5) + 21338.63 # x is replace by r * xmax where r is the relative position\n", + "cr_law = lambda x: 9228.45* (x *17.4) + 42600.14\n", + "lr_law = lambda x: 2951.65* (x * 13.6) + 2720.09" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "2fc84bd3-a262-4d74-9a80-d7405761e3d3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from openalea.hydroroot.millet import conductance as conductance_millet; reload(conductance)" + ] + }, + { + "cell_type": "markdown", + "id": "1f77ccca-e5f2-448a-a128-b6d6fcd02bc4", + "metadata": {}, + "source": [ + "### Compute K for the lines" + ] + }, + { + "cell_type": "markdown", + "id": "8930037c-5a33-46da-b28d-48bcb522e767", + "metadata": {}, + "source": [ + "* **57**" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "9e42932a-0571-4c6e-8d7e-99c1e6299fde", + "metadata": {}, + "outputs": [], + "source": [ + "g57 = conductance_millet.compute_K_from_laws(g57, sr_law, cr_law, lr_law)" + ] + }, + { + "cell_type": "markdown", + "id": "e65813b4-04e8-4f64-8d1c-a3851a7a9545", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "id": "1a0169de-5df3-4ef7-a47b-d83b7c9c1f75", + "metadata": {}, + "outputs": [], + "source": [ + "g109 = conductance_millet.compute_K_from_laws(g109, sr_law, cr_law, lr_law)" + ] + }, + { + "cell_type": "markdown", + "id": "17dce9b3-528f-4c5d-bd91-1e688300d0f9", + "metadata": {}, + "source": [ + " ## Compute surface and volume for the lines" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "d6df51aa-3293-4d85-ab89-3b35a91d9e13", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot import radius" + ] + }, + { + "cell_type": "markdown", + "id": "de747bef-3e38-4598-8817-b14c67ecef2e", + "metadata": {}, + "source": [ + "* **57**" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "d8f5880e-4877-4261-b980-9f03ebd8d5e6", + "metadata": {}, + "outputs": [], + "source": [ + "g57, surface57 = radius.compute_surface(g57)\n", + "g57, volume57 = radius.compute_volume(g57)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "c5b034e5-2e2b-4372-addd-cea2d8c41c23", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "surface (sq. meters): 9.497065092701509e-06\n", + "volume (cube meters): 3.297623262612453e-10\n" + ] + } + ], + "source": [ + "print( 'surface (sq. meters): ',surface57)\n", + "print ('volume (cube meters): ',volume57)" + ] + }, + { + "cell_type": "markdown", + "id": "a7f8a0b8-64cf-4d26-ace0-2917a6d05f99", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "id": "3a474218-d78c-423f-9d47-0771e1c495dd", + "metadata": {}, + "outputs": [], + "source": [ + "g109, surface109 = radius.compute_surface(g109)\n", + "g109, volume109 = radius.compute_volume(g109)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "fb4a38a1-161f-4576-b0cb-3713a4c907a7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "surface (sq. meters): 3.634075428164427e-05\n", + "volume (cube meters): 1.1328779032705608e-09\n" + ] + } + ], + "source": [ + "print( 'surface (sq. meters): ',surface109)\n", + "print ('volume (cube meters): ',volume109)" + ] + }, + { + "cell_type": "markdown", + "id": "f09b2319-8ae7-49d0-8ebb-e7b54ef9a19e", + "metadata": {}, + "source": [ + "## Compute the radial conductances" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "9b6b17a4-de9c-47ce-a5d5-fc72cccbecc5", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot.length import fit_law\n", + "from openalea.hydroroot import conductance" + ] + }, + { + "cell_type": "markdown", + "id": "d73485fd-8516-4767-bbe0-2a482ffc5e4a", + "metadata": {}, + "source": [ + "### Define data with respect to the relative position" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "7cee8e2b-3b10-4ac7-9425-8ae40109196c", + "metadata": {}, + "outputs": [], + "source": [ + "radial_conductivity_data57 = ([0,1], [300., 300.])\n", + "radial_conductivity_data109 = ([0,1], [300., 300.])" + ] + }, + { + "cell_type": "markdown", + "id": "5367dedb-ea84-4b61-9b8b-2ba44d15ac98", + "metadata": {}, + "source": [ + "### Radial law" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "c5afb0e5-86d3-40d0-9a56-010250baf724", + "metadata": {}, + "outputs": [], + "source": [ + "def radial_law(radial_data):\n", + " xr, yr = radial_data\n", + " radial_conductivity_law = fit_law(xr, yr)\n", + " return radial_conductivity_law" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "ecb71871-5c9a-4dfb-a33f-98be3620d95b", + "metadata": {}, + "outputs": [], + "source": [ + "radial_law57 = radial_law(radial_conductivity_data57)\n", + "radial_law109 = radial_law(radial_conductivity_data109)" + ] + }, + { + "cell_type": "markdown", + "id": "03880815-6b0a-42ab-a433-a9554ebfb706", + "metadata": {}, + "source": [ + "### compute radial conducances" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "6d805ceb-932e-4df2-a401-986cbf0c8a2d", + "metadata": {}, + "outputs": [], + "source": [ + "g57 = conductance_millet.fit_property_from_spline(g57, radial_law57, 'relative_position', 'k0')\n", + "g57 = conductance.compute_k(g57, k0='k0')" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "6c49c7d4-95c4-4995-b69d-8e77e6a97684", + "metadata": {}, + "outputs": [], + "source": [ + "g109 = conductance_millet.fit_property_from_spline(g109, radial_law109, 'relative_position', 'k0')\n", + "g109 = conductance.compute_k(g109, k0='k0')" + ] + }, + { + "cell_type": "markdown", + "id": "27754a99-ea35-4ddf-af73-06be462c9cd7", + "metadata": {}, + "source": [ + "## Use HydroRoot model to compute Water flux" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "c2fea737-3262-48ff-b579-b217ceb0b14b", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot import flux" + ] + }, + { + "cell_type": "markdown", + "id": "de89cba8-0906-44b6-8557-dff1af043ad0", + "metadata": {}, + "source": [ + "### Define hydraulic params" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "32ac5965-b4ab-4912-a16b-1e9f0dfd6f56", + "metadata": {}, + "outputs": [], + "source": [ + "# parameters\n", + "Jv = 0.1\n", + "psi_e = 0.4\n", + "psi_base = 0.1" + ] + }, + { + "cell_type": "markdown", + "id": "4576d4f7-0751-4a58-9107-20e703bfa4c6", + "metadata": {}, + "source": [ + "### Computation of flux in millet root system" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "a60f2eb8-83fe-4f39-ad32-77b9eecae1bf", + "metadata": {}, + "outputs": [], + "source": [ + "#57\n", + "g57 = flux.flux(g57, Jv, psi_e, psi_base, invert_model=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "c89698c6-0a2b-4489-b5e6-a0710120c370", + "metadata": {}, + "outputs": [], + "source": [ + "#109\n", + "g109 = flux.flux(g109, Jv, psi_e, psi_base, invert_model=True)" + ] + }, + { + "cell_type": "markdown", + "id": "968a3282-1205-482d-a4f3-14a55c0d8c26", + "metadata": {}, + "source": [ + "### Visualizing water fluxes for two architecturally contrasted millet lines" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "id": "eca27e97-a01b-404a-addf-4110e7f97f63", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c3bf5679f05f438d8d8b0fec244bca17", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Plot(antialias=3, axes=['x', 'y', 'z'], axes_helper=1.0, axes_helper_colors=[16711680, 65280, 255], background…" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s57 = mtg_scene(g57,prop_cmap='j')\n", + "#s109 = mtg_scene(g109,prop_cmap='j') \n", + "PlantGL(s57)\n", + "#PlantGL(s109)" + ] + }, + { + "cell_type": "markdown", + "id": "d5c38c4f-38e0-445b-99c4-d91f1ddbbacd", + "metadata": {}, + "source": [ + "### Calculate global water at the root base" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "b8e36e09-b2b8-4462-8b2a-5737b1dba990", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea import plantgl as pgl # 2D view\n", + "from openalea.widgets import plantgl as wgl" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "id": "340dbc3b-85f5-4bc8-aa91-6740ca2c081e", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_Jv_global(g, HAS_SOIL=False):\n", + " Keqs = g.property('Keq')\n", + " v_base = next(g.component_roots_at_scale_iter(g.root, scale=1))\n", + " Keq = Keqs[v_base]\n", + " \n", + " if HAS_SOIL:\n", + " psi_e_base = g.property('psi_e')[v_base]\n", + " else:\n", + " psi_e_base = psi_e\n", + " Jv_global = Keq * (psi_e_base - psi_base)\n", + " return Jv_global" + ] + }, + { + "cell_type": "markdown", + "id": "3266a1c9-29f0-4ecd-a537-76ad09dfbe97", + "metadata": {}, + "source": [ + "* **57**" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "ae17b59b-88fb-4caa-af76-9178d6d5a0b6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Global water flux (microL/s): 0.0008547352629919072\n" + ] + } + ], + "source": [ + "J57 = compute_Jv_global(g57)\n", + "print(f'Global water flux (microL/s): {J57}')" + ] + }, + { + "cell_type": "markdown", + "id": "ed37a672-b7a0-4c5f-a47f-c1fc79102293", + "metadata": {}, + "source": [ + "* **109** " + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "id": "1aaf92ba-4b23-4419-9c53-e8465479e054", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Global water flux (microL/s): 0.0032706488579380003\n" + ] + } + ], + "source": [ + "J109 = compute_Jv_global(g109)\n", + "print(f'Global water flux (microL/s): {J109}')" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "id": "4016861a-f178-451d-87fb-7dbeae79c0c1", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot.display import property_scale_bar" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "89b12044-02fb-4072-ad12-bb131833485e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "property_scale_bar(g109, property_name='j')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ab9221c5-dd09-4378-b819-5bd84932e0d5", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/doc/example/millet/WIP_notebook.ipynb b/doc/example/millet/WIP_notebook.ipynb index b3b98124..0a239c3a 100644 --- a/doc/example/millet/WIP_notebook.ipynb +++ b/doc/example/millet/WIP_notebook.ipynb @@ -25,31 +25,33 @@ }, { "cell_type": "code", + "execution_count": 1, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:13:44.974379Z", "start_time": "2025-09-12T14:13:44.535328Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "%matplotlib inline\n", "%gui qt5" - ], - "outputs": [], - "execution_count": 1 + ] }, { "cell_type": "code", + "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:13:45.521732Z", "start_time": "2025-09-12T14:13:45.517165Z" } }, + "outputs": [], "source": [ "#Seminal\n", "primary_length = 0.7\n", @@ -65,9 +67,7 @@ "crown_length = 0.12\n", "m = int(crown_length/segment_length)\n", "crown_nb = 2\n" - ], - "outputs": [], - "execution_count": 2 + ] }, { "cell_type": "markdown", @@ -79,16 +79,18 @@ }, { "cell_type": "code", + "execution_count": 3, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:13:47.717315Z", "start_time": "2025-09-12T14:13:47.327414Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", @@ -96,56 +98,54 @@ "from openalea.hydroroot import radius\n", "from openalea.hydroroot.display import plot\n", "from openalea.plantgl.all import Viewer" - ], - "outputs": [], - "execution_count": 3 + ] }, { "cell_type": "code", + "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:13:48.369433Z", "start_time": "2025-09-12T14:13:48.363253Z" } }, + "outputs": [], "source": [ "filename = 'lr_length_law_data.csv'\n", "xy = pd.read_csv(filename,sep=';')" - ], - "outputs": [], - "execution_count": 4 + ] }, { "cell_type": "code", + "execution_count": 5, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:13:49.392208Z", "start_time": "2025-09-12T14:13:49.299978Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, - "source": [ - "LR_length_law = law.expovariate_law(xy, size=5e-2, segment_length =1e-4, plot=True)" - ], "outputs": [ { "data": { + "image/png": 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", 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" + ] }, - "metadata": {}, - "output_type": "display_data", "jetTransient": { "display_id": null - } + }, + "metadata": {}, + "output_type": "display_data" } ], - "execution_count": 5 + "source": [ + "LR_length_law = law.expovariate_law(xy, size=5e-2, segment_length =1e-4, plot=True)" + ] }, { "cell_type": "markdown", @@ -157,16 +157,18 @@ }, { "cell_type": "code", + "execution_count": 6, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:13:51.246573Z", "start_time": "2025-09-12T14:13:51.105237Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "#g = architecture.millet_mtg(LR_length_law = LR_length_law,nb_vertices=1500)\n", "g = architecture.millet_mtg(nb_vertices = n,\n", @@ -176,42 +178,40 @@ " nb_crown = crown_nb,\n", " LR_length_law = LR_length_law\n", " )" - ], - "outputs": [], - "execution_count": 6 + ] }, { "cell_type": "code", + "execution_count": 7, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:13:52.060887Z", "start_time": "2025-09-12T14:13:51.958051Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "g = radius.compute_length(g)\n", "g = radius.compute_relative_position(g)" - ], - "outputs": [], - "execution_count": 7 + ] }, { "cell_type": "code", + "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:13:53.511264Z", "start_time": "2025-09-12T14:13:52.729332Z" } }, + "outputs": [], "source": [ "plot(g)" - ], - "outputs": [], - "execution_count": 8 + ] }, { "cell_type": "markdown", @@ -230,86 +230,86 @@ }, { "cell_type": "code", + "execution_count": 9, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:03.091679Z", "start_time": "2025-09-12T14:14:03.082450Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "sr_growth_data = 'seminal_growth_109.csv'\n", "pq = pd.read_csv(sr_growth_data, sep=';')" - ], - "outputs": [], - "execution_count": 9 + ] }, { "cell_type": "code", + "execution_count": 10, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:03.798532Z", "start_time": "2025-09-12T14:14:03.717403Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, - "source": [ - "f = law.age_law(pq, segment_length = 1e-4,scale_x= 1, scale_y = 1.e-2, plot= True)" - ], "outputs": [ { "data": { + "image/png": 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", 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" + ] }, - "metadata": {}, - "output_type": "display_data", "jetTransient": { "display_id": null - } + }, + "metadata": {}, + "output_type": "display_data" } ], - "execution_count": 10 + "source": [ + "f = law.age_law(pq, segment_length = 1e-4,scale_x= 1, scale_y = 1.e-2, plot= True)" + ] }, { "cell_type": "code", + "execution_count": 11, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:04.603898Z", "start_time": "2025-09-12T14:14:04.498658Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "g = age.compute_age_with_constant_growth_speed(g)" - ], - "outputs": [], - "execution_count": 11 + ] }, { "cell_type": "code", + "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:14:06.121852Z", "start_time": "2025-09-12T14:14:05.417273Z" } }, + "outputs": [], "source": [ "plot(g, prop_cmap='age')" - ], - "outputs": [], - "execution_count": 12 + ] }, { "cell_type": "markdown", @@ -328,136 +328,136 @@ }, { "cell_type": "code", + "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:14:09.327316Z", "start_time": "2025-09-12T14:14:09.324819Z" } }, + "outputs": [], "source": [ "def func(k, a, b):\n", " return a * np.log(k) + b" - ], - "outputs": [], - "execution_count": 13 + ] }, { "cell_type": "code", + "execution_count": 14, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:10.497439Z", "start_time": "2025-09-12T14:14:10.489155Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "#Estimate diameter law of seminal root\n", "sr_data = 'SR_diameters.csv'\n", "xy = pd.read_csv(sr_data, sep=';')" - ], - "outputs": [], - "execution_count": 14 + ] }, { "cell_type": "code", + "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:14:11.176364Z", "start_time": "2025-09-12T14:14:11.089882Z" } }, - "source": [ - "sr_diameter_law = law.diameter_law(xy,function=func, segment_length = 1e-4, plot= True)" - ], "outputs": [ { "data": { + "image/png": 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", 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BZMWKFRg4cCDc3Nwwbtw45OTkGG1369atGDRoEFxdXTF79mxUV1e3WOfZs2exZMkSLFmyBH//+98RERGBgIAA3Hffffjb3/6G//qv/wIArFmzBqNHjzZ6b3JyMgICAgyvH3nkEcMFBj4+Phg2bBhWrVqF8ePHm2z3rrvuwnPPPWd4/fbbb+POO++Ei4sLgoKCsHHjRst2NBERdVxipbS0NNFoNJKamirFxcWSmJgobm5uUlpaKiIiK1eulPj4eEP/U6dOiaurqyxdulSKi4slNTVVNBqNpKenG/rs2bNH1Gq1JCUlydGjRyUpKUmcnJxk7969Fm9XRCQzM1M0Go289dZbcvz4cXn99ddFrVZLXl6eoc+iRYvE19dXdu/eLQcOHJApU6bIqFGjpLGx0aLPX1NTIwCkpqbGZNm1a9ekuLhYrl27dr2xqUnkyhX7PJqaLPpMIiLz58+XmTNnml02adIkSUhIEBGR6upq8fX1lRdeeEHKy8ulvLxc6urqJDk5Wdzd3Q1tly9fFhGRhx9+WCZOnChfffWVnDhxQl555RVxdnaWH374QURE9u7dKyqVStauXSvHjh2TlJQU6dWrl3h4eDRb62uvvSYA5Pz58y1+pueee05GjRpl1LZ+/Xrx9/c3+tw9evSQ+Ph4KSoqkiNHjsiRI0cEgJw4ccLQr6ioSADIsWPHRETkrbfeEm9vb8nIyJBTp05JRkaG9OnTR7Zu3dpiTc0x+90hIiKbaen32xpWBycRkQ0bNoi/v79otVoJDQ2V3Nxcw7L58+fLpEmTjPrn5OTImDFjRKvVSkBAgGzatMlknR988IEMHz5cNBqNBAUFSUZGhlXb1UtNTZU77rhDXFxcZNSoUfLhhx8aLb927ZosXrxY+vTpI927d5fp06fLmTNnLP7sVgenK1dEAPs8rlyx+HPNnz9f1Gq1uLm5GR6xsbEiYhycRET8/f1l/fr1Ru9/++23TcLOiRMnRKVSyblz54za77//flm1apWIiPzmN7+R6Ohoo+VxcXEtBqfHHntM3N3db/mZLA1OAwYMkLq6OqN+d911l7zwwguG16tWrZK7777b8NrPz0/ef/99o/f8+c9/lgkTJtyyLnMYnIiI2patglOrbvL7+OOP4/HHHze7bOvWrSZtkyZNwoEDB1pcZ2xsLGJjY1u9Xb3f//73+P3vf9/schcXF7z++ut4/fXXW1xPVzR58mSjebLc3Nxua30HDhyAiGDYsGFG7XV1dYbz244ePYrZs2cbLZ8wYQI+++yzZtcrt7gYwVojR46EVqs1aps3bx7+/ve/Y/Xq1RARbNu2zXC48sKFCygrK8Ojjz6KBQsWGN7T2NgIDw8Pm9VFRESOp1XBiazg6gpcuWK/bVvBzc0Nd9xxh80239TUBLVajcLCQqjVaqNlPXr0AHD9CktrDBs2DDU1NSgvL4e3t3ez/bp162ayfv3cYTcyFxAffvhhrFy5EgcOHMC1a9dQVlaGuXPnGj4XAGzZsgXjxo0zet/Nn5OIiDoXBqe2plIBtzly42i0Wq3JLWrMtY0ZMwY6nQ6VlZUIDw83u67g4GDs3bvXqO3m1zeLjY3FypUrsW7dOqxfv95k+aVLl9CrVy/069cPFRUVRiNUhw4dutXHAwD4+vrivvvuw3vvvYdr167hgQceMFx5OWDAAAwcOBCnTp3CvHnzLFofERF1DgxOZLWAgAB89dVXmDt3LpydneHp6YmAgABcuXIFX3zxBUaNGgVXV1cMGzYM8+bNw+9+9zu8+uqrGDNmDKqqqvDll19i5MiRmDZtGpYsWYKJEydi3bp1mDVrFnbt2tXiYToA8PPzw/r167F48WLU1tbid7/7HQICAnD27Fn84x//QI8ePfDqq68iIiICFy5cwLp16xAbG4vPPvsMn376qcVTSsybNw9r1qxBfX29SUBbs2YNlixZAnd3d0ydOhV1dXXYv38/Ll68iCeffLLV+5aIiBxbqybApK7thRdeQGlpKYYMGYJ+/foBACZOnIhFixYhLi4O/fr1w7p16wAol+z/7ne/w7JlyzB8+HDMmDED+/btM8zAPn78ePztb3/D66+/jtGjR2PXrl3405/+dMsaHn/8cezatQvnzp3D7NmzERQUhD/84Q9wd3fHU089BUCZw2vjxo3YsGEDRo0ahW+++cawzBIPPfQQqqurcfXqVcyaNcto2R/+8Af87W9/w9atWzFy5EhMmjQJW7duRWBgoMXrJyKijsfqm/x2dbzJL7UFfneIiNqWXW7yS0RERNSVMTgRERERWYjBiYiIiMhCDE5EREREFmJwIiIiIrIQg1Mb4IWKZC1+Z4iIOgYGJxvSaDQAgKtXr9q5Eupo9N8Z/XeIiIgcE2cOtyG1Wo1evXqhsrISAODq6mrTm9FS5yMiuHr1KiorK9GrVy/e646IyMExONmYl5cXABjCE5ElevXqZfjuEBGR42JwsjGVSgVvb2/0798fDQ0N9i6HOgCNRsORJiKiDoLBqY2o1Wr+GBIREXUyPDmciIiIyEIMTkREREQWYnAiIiIishCDExEREZGFGJyIiIiILMTgRERERGQhBiciIiIiCzE4EREREVmIwYmIiIjIQgxORERERBZicCIiIiKyEIMTERERkYUYnIiIiIgsxOBEREREZCEGJyIiIiILMTgRERERWYjBiYiIiMhCDE5EREREFmJwIiIiIrIQgxMRERGRhRiciIiIiCzE4ERERERkIQYnIiIiIgsxOBERERFZqFXBaePGjQgMDISLiwvCwsKQl5fXYv/c3FyEhYXBxcUFgwcPxubNm036ZGRkIDg4GM7OzggODsaOHTus3u4jjzwClUpl9Bg/frxRn4iICJM+c+fObcVeICIioq7G6uC0fft2JCYm4tlnn8XBgwcRHh6OqVOn4syZM2b7l5SUYNq0aQgPD8fBgwfxzDPPYMmSJcjIyDD0KSgoQFxcHOLj43H48GHEx8djzpw52Ldvn9XbjY6ORnl5ueHxySefmNS0YMECoz5vvvmmtbuBiIiIuiCViIg1bxg3bhxCQ0OxadMmQ9udd96JWbNmYe3atSb9n376aXz00Uc4evSooW3RokU4fPgwCgoKAABxcXGora3Fp59+augTHR2N3r17Y9u2bRZv95FHHsGlS5fw4YcfNlt/REQERo8ejeTkZGs+tkFtbS08PDxQU1MDd3f3Vq2DiIiI2petfr+tGnGqr69HYWEhIiMjjdojIyORn59v9j0FBQUm/aOiorB//340NDS02Ee/Tmu2m5OTg/79+2PYsGFYsGABKisrTWp677334OnpiREjRuCpp57C5cuXm/3MdXV1qK2tNXoQERFR1+RkTeeqqirodDoMGDDAqH3AgAGoqKgw+56Kigqz/RsbG1FVVQVvb+9m++jXael2p06dioceegj+/v4oKSnB6tWrMWXKFBQWFsLZ2RkAMG/ePAQGBsLLywtFRUVYtWoVDh8+jKysLLP1r127Fs8//7wFe4eIiIg6O6uCk55KpTJ6LSImbbfqf3O7Jeu8VZ+4uDjD85CQEIwdOxb+/v7YuXMnYmJiACjnN93YZ+jQoRg7diwOHDiA0NBQk9pXrVqFJ5980vC6trYWfn5+zX5WIiIi6rysOlTn6ekJtVptMrpUWVlpMhqk5+XlZba/k5MT+vbt22If/Tpbs10A8Pb2hr+/P44fP95sn9DQUGg0mmb7ODs7w93d3ehBREREXZNVwUmr1SIsLMzksFZWVhYmTpxo9j0TJkww6b9r1y6MHTsWGo2mxT76dbZmuwBQXV2NsrIyeHt7N9vnu+++Q0NDQ4t9iIiIiAAAYqW0tDTRaDSSmpoqxcXFkpiYKG5ublJaWioiIitXrpT4+HhD/1OnTomrq6ssXbpUiouLJTU1VTQajaSnpxv67NmzR9RqtSQlJcnRo0clKSlJnJycZO/evRZv9/Lly7Js2TLJz8+XkpISyc7OlgkTJsjAgQOltrZWREROnDghzz//vHz77bdSUlIiO3fulKCgIBkzZow0NjZa9PlramoEgNTU1Fi764iIiKgFjY2Nkp2dLe+//75kZ2db/NtsCVv9flsdnERENmzYIP7+/qLVaiU0NFRyc3MNy+bPny+TJk0y6p+TkyNjxowRrVYrAQEBsmnTJpN1fvDBBzJ8+HDRaDQSFBQkGRkZVm336tWrEhkZKf369RONRiODBg2S+fPny5kzZwx9zpw5I/fdd5/06dNHtFqtDBkyRJYsWSLV1dUWf3YGJyIiItvLyMgQX19fAWB4+Pr6ms0DrWGr32+r53Hq6jiPExERkW1lZmYiNjYWN0cS/QVg6enphou8Wssu8zgRERER2ZJOp0NCQoJJaAKuX4WfmJgInU7X3qWZxeBEREREdpOXl4ezZ882u1xEUFZWdsv74rYXBiciIiKym/Lycpv2a2sMTkRERGQ3lk4H5CjTBjE4ERERkd2Eh4fD19e32TuQqFQq+Pn5ITw8vJ0rM4/BiYiIiOxGrVYjJSUFgOmt1fSvk5OToVar2702cxiciIiIyK5iYmKQnp6OgQMHGrX7+vraZCoCW+I8TlbiPE5ERERtQ6fTIS8vD+Xl5fD29kZ4eLjNRpps9fvtZJNqiIiIiG6TWq1GRESEvctoEQ/VEREREVmIwYmIiIjIQgxORERERBZicCIiIiKyEIMTERERkYUYnIiIiIgsxOBEREREZCEGJyIiIiILMTgRERERWYjBiYiIiMhCDE5EREREFmJwIiIiIrIQgxMRERGRhZzsXQARERF1YT/9BBw7Bhw9qjy+/x7w9AQ2b7Z3ZWYxOBEREVHbEgEuXFBC0Y0B6ehR4MwZ0/6DBrV/jRZicCIiIiLbaGoCSkvNB6Qff2z+ff36AUFBwJ13Xn84KAYnIiIiss7PPwPHj18PR/qAdOyYsswclQoICDAOSPrnffu2a/m3g8GJiIiIzLt0yTQcHT0KlJQoo0vmODsDw4aZBqRhwwBX13Ytvy0wOBEREXV1Fy8CxcXAd98Z//f8+ebf06uX8aiR/nlgIKBWt1vp7Y3BiYiIqKu4cgU4fBgoKjIOSOXlzb/H19d8QBowQDn81sUwOBEREXVGV64Ahw4BhYXXH0ePKle4mePnB4wYAQQHK/8dMUIJSe7u7Vq2o2NwIiIi6uiuXAEOHjQOSd9/bz4keXsDo0YZhyQGJIsxOBEREXUkN4ak/fuV/x47Zj4k+fgAYWHGD2/v9q+5E2FwIiIiclSXL5uOJDUXkgYONA1JXl6t3rROp0NeXh7Ky8vh7e2N8PBwqDvxSd+WYnAiagX+QSEim7sxJOlHkn74oeWQNHbs9ZA0YIDNSsnMzERCQgLOnj1raPP19UVKSgpiYmJstp2OiMGJyEr8g0JEt6221nQkqbmQ5OtrOpJkw5B0s8zMTMTGxkJuquXcuXOIjY1Fenp6l/5bp5Kb9wy1qLa2Fh4eHqipqYE7T6TrcG53pKi5Pyiqf1+S29X/oBCRGbW1wIEDpiHJHD8/05DUv3+7larT6RAQEGD0D8MbqVQq+Pr6oqSkpMONstvq95vByUoMTh3X7Y4UdeY/KERkIx0oJJmTk5ODyZMn37JfdnY2IiIi2r4gG7LV7zcP1VGXYIuh57y8vGZDEwCICMrKypCXl9fh/qAQUSvU1JiGpOPHzfcdNMg0JPXr1771WqC8pYkwW9GvM2Jwok5Pp9MhISHBJDQBSthRqVRITEzEzJkzWxwp4h8Uoi6sNSFJf+J2aKhDhiRzvC2cqsDSfp0RgxN1erYaKeIfFKIu4tIl05B04oT5vv7+piNJnp7tWq4thYeHw9fXF+fOnTP7j039KQnh4eF2qM4xdGvNmzZu3IjAwEC4uLggLCwMeXl5LfbPzc1FWFgYXFxcMHjwYGzevNmkT0ZGBoKDg+Hs7Izg4GDs2LHD6u0+8sgjUKlURo/x48cb9amrq8MTTzwBT09PuLm5YcaMGS3+qFLHZ6uRIv0fFFUz92ZSqVTw8/Pr0n9QiDqcS5eAL78EXnkFiIsD7rgD6N0buP9+YMUKYPv266EpIAD49a+Bl14CPv8cuHABKC0FMjKAZ54BoqI6dGgCALVajZSUFAAw+Vunf52cnNy1z+MUK6WlpYlGo5EtW7ZIcXGxJCQkiJubm5w+fdps/1OnTomrq6skJCRIcXGxbNmyRTQajaSnpxv65Ofni1qtlpdeekmOHj0qL730kjg5OcnevXut2u78+fMlOjpaysvLDY/q6mqjehYtWiQDBw6UrKwsOXDggEyePFlGjRoljY2NFn3+mpoaASA1NTXW7Dayo+zsbAFwy0d2dvYt15WRkSEqlUpUKpXRe/VtGRkZbf+BiKh1fvxRZPdukZdfFpkzR2TIEBFlAgDTR0CAyK9/LfLSSyKffy5SVWXv6ttVRkaG+Pr6Gv2d8/Pz69B/42z1+211cLrnnntk0aJFRm1BQUGycuVKs/1XrFghQUFBRm0LFy6U8ePHG17PmTNHoqOjjfpERUXJ3Llzrdru/PnzZebMmc3WfunSJdFoNJKWlmZoO3funHTr1k0+++yzZt93IwanjqexsVF8fX1Nws6NocfPz8/i8NwZ/6AQdTo3hqSHHhIZPLj5kBQYKBIbK7J2rciuXV0uJDWnsbFRsrOz5f3335fs7GyL/0Y6Klv9flt1jlN9fT0KCwuxcuVKo/bIyEjk5+ebfU9BQQEiIyON2qKiopCamoqGhgZoNBoUFBRg6dKlJn2Sk5Ot3m5OTg769++PXr16YdKkSXjxxRfR/9+XdxYWFqKhocGoHh8fH4SEhCA/Px9RUVEm9dfV1aGurs7wura21uznJMelH3qOjY2FSqUyOm7fmqHnmJgYzJw5kzOHEzmKH380PSfp1CnzfQMDjc9HCg0F+vZt33o7CLVazSuEzbAqOFVVVUGn02HATTOWDhgwABUVFWbfU1FRYbZ/Y2Mjqqqq4O3t3Wwf/Tot3e7UqVPx0EMPwd/fHyUlJVi9ejWmTJmCwsJCODs7o6KiAlqtFr1797a4/rVr1+L5559vYa9QRxATE4P09HSz8zglJydbPWkl/6AQ2cmPPxoHpMJCoKTEfN/Bg01DUp8+7VsvdTqtuqru5hPG5N+XdFvT/+Z2S9Z5qz5xcXGG5yEhIRg7diz8/f2xc+fOFn8YW6p/1apVePLJJw2va2tr4efn1+y6yHFxpIiog2lNSLpxCoCb/pFMZAtWBSdPT0+o1WqT0ZnKykqT0SA9Ly8vs/2dnJzQ99/Do8310a+zNdsFlMvC/f39cfzfc214eXmhvr4eFy9eNBp1qqysxMSJE82uw9nZGc7Ozs1ugzoWjhQROajqatOQVFpqvu+QIaYjSQxJ1E6sCk5arRZhYWHIysrC7NmzDe1ZWVmYOXOm2fdMmDAB/+///T+jtl27dmHs2LHQaDSGPllZWUbnOe3atcsQZlqzXQCorq5GWVmZYV6dsLAwaDQaZGVlYc6cOQCUS9CLioqwbt06a3YFEVGHdO3aNSxfvhzHjx/H0KFD8corr6B79+7tW4Q1IemOO0xDUq9e7VktkTFrzybXTwuQmpoqxcXFkpiYKG5ublJaWioiIitXrpT4+HhDf/10BEuXLpXi4mJJTU01mY5gz549olarJSkpSY4ePSpJSUnNTkfQ3HYvX74sy5Ytk/z8fCkpKZHs7GyZMGGCDBw4UGpraw3rWbRokfj6+sru3bvlwIEDMmXKFE5HQERdwsyZM81eWdrS1ci37cIFkc8+E3nxRZGYGBF//+avbrvjDpG4OJF160S++ELk4sW2q4u6HLtNRyAismHDBvH39xetViuhoaGSm5trWDZ//nyZNGmSUf+cnBwZM2aMaLVaCQgIkE2bNpms84MPPpDhw4eLRqORoKAgs5d2t7Tdq1evSmRkpPTr1080Go0MGjRI5s+fL2fOnDFax7Vr12Tx4sXSp08f6d69u0yfPt2kT0sYnIioI2ouNNk0PN0YkmbPFhk0qPmQNHSoyNy5Iq+8IvLllwxJ1OZs9futEjEzpzo1y1Z3VyYiai/Xrl2Dq6vrLftdvXrV8sN2Fy6YHm47c8Z836FDjU/cHjMG8PCw4hMQ3T5b/X7zXnVERJ3c8uXLLe73xhtvmC64MSTt36/8t6zM/EqGDTM+J4khiToZBiciok5Of2WxRf0qK01HkpoLScOHm4YkjsRTJ8fgRETUyQ0dOhS7du0yae8PIOyGx6T8fMDcFC8qlfmRJIYk6oJ4jpOVeI4TEXU0+nOcBgF48N+PiQDMTuWrUpkfSerZsz1LJrI5nuNEREQtq60FsrPRPSsLZ93cMPCnn4wWNwE4BqAQQF1ICB7duBEYPZohiagFDE5ERJ1FYyPwzTdAVhawaxewbx+g0wEABgLQqVTYK4IsANkADgC4AmDmzJn48MMP7VY2UUfC4ERE1FGJAMePK0EpKwvIzlZGmW40dCjw4INAZCTUEREI1WqxbflyuBw/jvn2mjmcqANjcCIi6kiqq4Evvrgelk6fNl7epw/wwANKWHrwQcDf32hxd8D8lANEZBEGJyIiR1ZXB+TnK4fesrKAAweUkSY9rRa4997rQWnMGECttl+9RJ0cgxMRkSMRAYqKro8offUVcPWqcZ+QEMPhN4SHA25u9qmVqAticCIisrfycmD3biUo7d6tvL6Rl9f1EaUHHgC8ve1TJxExOBERtburV5WRJP3ht6Ii4+XduwOTJl0PSyEhyvxKRGR3DE5ERG2tqUk5N0l/+G3PHqC+/vpylQoIDb1++G3iRMDZ2X71ElGzGJyIiNrC6dPXg9Lu3cCPPxov9/e/PqI0ZQrg6WmfOonIKgxORES2UFOjzKOkD0s331jX3R2YPPn6qNIdd/DwG1EHxOBERNQaDQ3XZ+nOyjKapRuAMiXAuHFKSHrwQeCeewAn/skl6uj4/2IiIkvcPEv3l18Cly8b9xk27Prht4gIwMPDLqUSUdthcCIiak5VlfEs3WfOGC/v2xe4//5mZ+kmos6HwYmISK+uTrniTR+UmpulW3/4bcwYoFs3+9VLRO2OwYmIuq6bZ+nOzQWuXTPuM3Lk9RElztJN1OUxOBFR11JebjxNQEWF8XLO0k1ELWBwIqLOralJOfz2v/8LfP5587N06w+/jRjBaQKIqFkMTkTUOX3/PfDuu8B77ymTUeqpVEBY2PVRJc7STURWYHAi6oB0Oh3y8vJQXl4Ob29vhIeHQ61W27ss+/u//wPS0pTAVFh4vb1nT2DWLGD6dOUquL597VYiEXVsDE5EHUxmZiYSEhJw9uxZQ5uvry9SUlIQExNjx8rs5OpV4MMPgX/+U7lprn4SSicnIDoaiI8HfvUr5ZAcEdFtYnAi6kAyMzMRGxsLufESeQDnzp1DbGws0tPTu0Z40umU25u8+y6QmQlcuXJ92bhxwG9/C8TFAf362a9GIuqUVHLzX2BqUW1tLTw8PFBTUwN3d3d7l0NdiE6nQ0BAgNFI041UKhV8fX1RUlLSeQ/bHT6sjCy9/z5w/vz19sBAJSz99rfK7N1ERDex1e83R5yIOoi8vLxmQxMAiAjKysqQl5eHiIiI9iusrZ09qwSlf/4TOHLkenvv3sqo0m9/q5zgzSvhiKgdMDgRdRDl5eU27efQamuVQ3DvvqscktMPjGu1ygne8fHA1Km8Go6I2h2DE1EH4W3hRIyW9nM4DQ3Kyd3//KdysvfPP19fFh6ujCw99JAy0kREZCcMTtTpdNZL9cPDw+Hr64tz586ZnBwOXD/HKTw83A7VtZIIsH+/MrKUlgZcuHB92fDhysjSww8r5zARETkABifqVDrzpfpqtRopKSmIjY2FSqUyCk+qf5/fk5yc3DFCYkmJMjHlu+8CP/xwvb1fP+A3v1ECU1gYz1siIofDq+qsxKvqHFdzl+rrQ0VnuVTfXDj08/NDcnKyY3++ixeB//kf5VDc119fb+/eXZmc8re/VWby1mjsViIRdV62+v1mcLISg5Nj6mqX6neYw5F1dcAnnygjSzt3AvX1SrtKpczg/dvfArNnA/z/EhG1MU5HQHSDrnapvlqtdtzPIaLcVPef/1RGmC5evL7srruUsPTww8DAge1STn19PTZu3IiTJ09iyJAhePzxx6HVattl20TU+TA4UafQpS7Vd1THjilh6Z//BEpLr7f7+ADz5imB6a672rWkFStW4LXXXoNOfxsWAE899RSefPJJrFu3rl1rIaLOgcGJOoVOf6m+o6qsBLZvVw7Fffvt9fYePYBf/1o5yTsiArDDYcQVK1bglVdeMWnX6XSGdoYnIrIWz3GyEs9xckz6c5xudal+ZznHya6uXgU++kgZWfrss+s31VWrgagoZWRp5kzA1dVuJdbX18PV1dVopOlmarUaV69e5WE7oi7CVr/f3WxYE5Hd6C/VB65fRafX4S7Vd0Q6HfDll8B//Afg5aVMGbBzp9I+diyQkgKcO6e0/eY3dg1NALBx48YWQxOghO2NGze2U0VE1FnwUB11GjExMUhPTzc7j5PDX6rvqI4cUUaW3ntPCUZ6/v7Xb6obFGS/+ppx8uRJm/YjItJr1YjTxo0bERgYCBcXF4SFhSEvL6/F/rm5uQgLC4OLiwsGDx6MzZs3m/TJyMhAcHAwnJ2dERwcjB07dtzWdhcuXAiVSoXk5GSj9oiICKhUKqPH3LlzLfvg5PBiYmJQWlqK7OxsvP/++8jOzkZJSQlDkzXOnwf++7+B0aOVk7nXrVNCU69ewB//CHz1FXDqFPCXvzhkaAKAIUOG2LQfEZGBWCktLU00Go1s2bJFiouLJSEhQdzc3OT06dNm+586dUpcXV0lISFBiouLZcuWLaLRaCQ9Pd3QJz8/X9Rqtbz00kty9OhReemll8TJyUn27t3bqu3u2LFDRo0aJT4+PrJ+/XqjZZMmTZIFCxZIeXm54XHp0iWLP39NTY0AkJqaGovfQ+TwamtF3nlH5IEHRFQqEWVSARGNRmTWLJGMDJFr1+xdpcXq6upErVYLgGYfarVa6urq7F0qEbUTW/1+Wx2c7rnnHlm0aJFRW1BQkKxcudJs/xUrVkhQUJBR28KFC2X8+PGG13PmzJHo6GijPlFRUTJ37lyrt3v27FkZOHCgFBUVib+/v9nglJCQ0OJnbAmDE3UaDQ0in3wi8vDDIt27Xw9LgMi994ps2iRSXW3vKltt+fLlLQan5cuX27tEImpHtvr9tupQXX19PQoLCxEZGWnUHhkZifz8fLPvKSgoMOkfFRWF/fv3o6GhocU++nVaut2mpibEx8dj+fLlGDFiRLOf47333oOnpydGjBiBp556CpcvX262b11dHWpra40eRB2WCFBYCCQmKhNQTpsGvP8+cO0aMHQo8MILwMmTyi1RFi0C+vSxd8Wttm7dOixfvtzkggC1Wo3ly5dzKgIiahWrTg6vqqqCTqfDgAEDjNoHDBiAiooKs++pqKgw27+xsRFVVVXw9vZuto9+nZZu9+WXX4aTkxOWLFnS7GeYN28eAgMD4eXlhaKiIqxatQqHDx9GVlaW2f5r167F888/3+z6iDqE06ev31T3+++vt3t6AnPnKvMt3X13p7up7rp16/CXv/yFM4cTkc206qq6my/3FhGTtlv1v7ndknW21KewsBApKSk4cOBAi7UsWLDA8DwkJARDhw7F2LFjceDAAYSGhpr0X7VqFZ588knD69raWvj5+TW7fiKHUV+v3PJkyxblhG49FxdlnqXf/laZd6mT31RXq9UiMTHR3mUQUSdhVXDy9PSEWq02GV2qrKw0GQ3S8/LyMtvfyckJffv2bbGPfp2WbDcvLw+VlZUYNGiQYblOp8OyZcuQnJyM0htvAXGD0NBQaDQaHD9+3GxwcnZ2hrOzs9n3EjmkqirgzTeBDRsA/S1mVCplBu/4eCAmBvDwsGuJREQdlVXnOGm1WoSFhZkc1srKysLEiRPNvmfChAkm/Xft2oWxY8dC8+9/6TbXR79OS7YbHx+Pf/3rXzh06JDh4ePjg+XLl+Pzzz9v9jN99913aGho4K04qOMrLgYWLgT8/IA//UkJTd7ewJ//rByq009gydBERNR61p5Nrp8WIDU1VYqLiyUxMVHc3NyktLRURERWrlwp8fHxhv766QiWLl0qxcXFkpqaajIdwZ49e0StVktSUpIcPXpUkpKSmp2OoLntmnPzVXUnTpyQ559/Xr799lspKSmRnTt3SlBQkIwZM0YaGxst+vy8qo4cSlOTyKefikRFGV8VN2aMyD/+IcLL7YmIRMSO0xGIiGzYsEH8/f1Fq9VKaGio5ObmGpbNnz9fJk2aZNQ/JydHxowZI1qtVgICAmTTpk0m6/zggw9k+PDhotFoJCgoSDIyMqzarjk3B6czZ87IfffdJ3369BGtVitDhgyRJUuWSLUVl1wzOJFD+PlnkbfeErnzzuthSaUSmT1bJDdXCVRERGRgq99v3uTXSrzJL9lVfT3w9tvAiy8CZWVKW48ewKOPAkuWAIMH27c+IiIHZavfb96rjqgjaGgAtm5VAtPp00qbtzfw1FNKaOJ5S0RE7YLBiciRNTQocy/9+c+A/spQLy9g5UrlvnHdu9u1PCKirobBicgRNTYC//ynEphOnVLa+vdXAtOiRQxMRER2wuBE5EgaG4Ft25Rbn5w4obT16wc8/TTw2GOAq6t96yMi6uIYnIgcgU4HpKUpgemHH5S2vn2BFSuA//xPwM3NvvUREREABici+9LplNuivPDC9XvI9ekDLF8OLF6sXDFHREQOg8GJyB6amoD0dOD555UZvwGgd29g2TLgiScATnVBROSQGJyI2lNTE5CZqQSmoiKlrVcv4MknlXmYOK0AEZFDY3Aiag9NTcCHHyqB6V//Utrc3YGlS4HERCU8ERGRw2NwImpLIsBHHwFr1gCHDiltPXsqYWnpUuXwHBERdRgMTkRtQQT4+GMlMB04oLT16AEkJCiH5fr0sWt5RETUOgxORLYkAnzyiRKY9u9X2tzclBO+ly0DPD3tWh4REd0eBiciWxABPv8ceO454JtvlDZXV2VKgaeeUiaxJCKiDo/Bieh2iABZWUpg2rtXaeveXZm0cvly5TYpRETUaTA4EbVWTg7wpz8Be/Yor11clNuirFih3IiXiIg6HQYnImudP6+c4L19u/La2Vm58e7TTwPe3vatjYiI2hSDE5GlGhuBN94A/uu/gMuXgW7dgIULgWefBQYOtHd1RETUDhiciCyRn68chtNPXjluHLBpEzBmjH3rIiKidtXN3gUQObSqKuAPfwDuvVcJTb17A2+9pQQphiYioi6HI05E5jQ1AX//u3Le0o8/Km2//z2QlMSpBYiIujAGJ6KbHTqkHJbTTy8wcqRyWO7ee+1aFhER2R8P1RHp1dYq95ALC1NCU48ewGuvKbdMYWgiIiJwxIlImcRy+3ZlioHycqVtzhwlNPFqOSIiugGDE3Vtx44ps3x/8YXy+o47gA0bgMhI+9ZFREQOiYfqqGu6elWZ9XvkSCU0OTsDL7wAHDnC0ERERM3iiBN1PTt3KjffLS1VXk+dCrz+OjBkiF3LIiIix8fgRF3Hjz8qgWnbNuW1nx+QkgLMmgWoVHYtjYiIOgYeqqOuYedOICRECU1qNbB8OVBcDMyezdBEREQW44gTdW61tcrVcqmpyuugIOCdd4B77rFvXURE1CFxxIk6ry+/VE7+Tk1VRpWefFKZk4mhiYiIWokjTtT51NUpt0pJSVFeDx4MbN0KhIfbtSwiIur4GJyoczl5EoiLAwoLldePPQasW6fMAk5ERHSbGJyo80hPBx59VDmvqU8f4B//AH75S3tXRUREnQjPcaKO7+efldm/H3pICU333qvcqJehiYiIbIzBiTq2EyeAiROBjRuV1ytXAtnZyhxNRERENsZDddRxbd8OLFgAXL4MeHoqh+amTrV3VURE1IlxxIk6np9/Vk76njtXCU3h4cqhOYYmIiJqYwxO1LH88AMwfjywebMyN9MzzyjzNQ0caO/KiIioC+ChOuo4tm0D/vhH4MoVoF8/4J//BCIj7V0VERF1IRxxIsd37RqwcCHw8MNKaJo0STk0x9BERETtrFXBaePGjQgMDISLiwvCwsKQl5fXYv/c3FyEhYXBxcUFgwcPxubNm036ZGRkIDg4GM7OzggODsaOHTtua7sLFy6ESqVCcnKyUXtdXR2eeOIJeHp6ws3NDTNmzMDZs2ct++DU/k6fVq6ae+st5dDc6tXA7t2Aj4+9KyMioi7I6uC0fft2JCYm4tlnn8XBgwcRHh6OqVOn4syZM2b7l5SUYNq0aQgPD8fBgwfxzDPPYMmSJcjIyDD0KSgoQFxcHOLj43H48GHEx8djzpw52LdvX6u2++GHH2Lfvn3wMfPjmpiYiB07diAtLQ1ff/01rly5gunTp0On01m7K6itff01MHasMrrUrx+waxfwwguAE48wExGRnYiV7rnnHlm0aJFRW1BQkKxcudJs/xUrVkhQUJBR28KFC2X8+PGG13PmzJHo6GijPlFRUTJ37lyrt3v27FkZOHCgFBUVib+/v6xfv96w7NKlS6LRaCQtLc3Qdu7cOenWrZt89tlnLXzq62pqagSA1NTUWNSfWiknR8TVVQQQCQ0VOX3a3hUREVEHZqvfb6tGnOrr61FYWIjIm84tiYyMRH5+vtn3FBQUmPSPiorC/v370dDQ0GIf/Tot3W5TUxPi4+OxfPlyjBgxwqSWwsJCNDQ0GK3Hx8cHISEhzdZfV1eH2tpaowe1sdxcYNo04OpVICoKyMsDBg2yd1VERETWHaqrqqqCTqfDgAEDjNoHDBiAiooKs++pqKgw27+xsRFVVVUt9tGv09Ltvvzyy3BycsKSJUuarUWr1aJ3794W17927Vp4eHgYHn6ckbpt3RyaPvwQcHW1d1VEREQAWnlyuEqlMnotIiZtt+p/c7sl62ypT2FhIVJSUrB169YWazGnpfpXrVqFmpoaw6OsrMyqdZMVzIUmFxd7V0VERGRgVXDy9PSEWq02GZ2prKw0GQ3S8/LyMtvfyckJffv2bbGPfp2WbDcvLw+VlZUYNGgQnJyc4OTkhNOnT2PZsmUICAgwbKe+vh4XL160uH5nZ2e4u7sbPagNMDQREVEHYFVw0mq1CAsLQ1ZWllF7VlYWJk6caPY9EyZMMOm/a9cujB07FhqNpsU++nVast34+Hj861//wqFDhwwPHx8fLF++HJ9//jkAICwsDBqNxmg95eXlKCoqarZ+agdffcXQREREHYO1Z5OnpaWJRqOR1NRUKS4ulsTERHFzc5PS0lIREVm5cqXEx8cb+p86dUpcXV1l6dKlUlxcLKmpqaLRaCQ9Pd3QZ8+ePaJWqyUpKUmOHj0qSUlJ4uTkJHv37rV4u+bcfFWdiMiiRYvE19dXdu/eLQcOHJApU6bIqFGjpLGx0aLPz6vqbCw39/rVc1FRIteu2bsiIiLqhGz1+211cBIR2bBhg/j7+4tWq5XQ0FDJzc01LJs/f75MmjTJqH9OTo6MGTNGtFqtBAQEyKZNm0zW+cEHH8jw4cNFo9FIUFCQZGRkWLVdc8wFp2vXrsnixYulT58+0r17d5k+fbqcOXPG4s/O4GRDN4amyEiGJiIiajO2+v1Wifz7TG2ySG1tLTw8PFBTU8PznW7HV18BU6cqh+ciI5XDc92727sqIiLqpGz1+80pmKn9WRCadDod8vLyUF5eDm9vb4SHh0OtVtunXiIion9jcKL2deOJ4M2EpszMTCQkJBjdQ9DX1xcpKSmIiYlp54KJiIiua9U8TkStog9NP/3UYmiKjY01ufHyuXPnEBsbi8zMzHYsmIiIyBiDE7UPC0KTTqdDQkICzJ12p29LTEzkDZmJiMhuGJyo7d0Ymh58sNkTwfPy8kxGmm4kIigrK0NeXl4bFktERNQ8BidqW3l5xqHpf/+32avnysvLLVqlpf2IiIhsjcGJ2k5ennL1nAWhCQC8vb0tWq2l/YiIiGyNwYnahpWhCQDCw8Ph6+vb7A2XVSoV/Pz8EB4e3hYVExER3RKDE9leK0ITAKjVaqSkpACASXjSv05OTuZ8TkREZDcMTmRbrQxNejExMUhPT8fAgQON2n19fZGens55nIiIyK54yxUr8ZYrLbjN0HQjzhxOtsTvExHxlivkWG4MTQ88cFuhCVAO20VERNiuPuqyOBM9EdkSD9XR7fv6a+PQ9NFHvGEvOQTORE9EtsbgRLfn66+B6GiGJnI4nImeiNoCgxO1HkMTOTDORE9EbYHBiVqHoYkcHGeiJ6K2wOBE1mNoog6AM9ETUVtgcCLr3Hwi+G1ePUfUVjgTPRG1BQYnspw+NF25cj00ubrauyoiszgTPRG1BQYnsgxDE3VAnImeiGyNM4dbqUvOHM7QRB0cZw4nIs4cTu3jxAmGJurwOBM9EdkKD9VRy55/XglN997L0ERERF0egxM174cfgPffV56npDA0ERFRl8fgRM37y1+ApiZg+nQgLMze1RAREdkdgxOZd/w48N57yvPnnrNvLURERA6CwYnM0482/fKXwNix9q6GiIjIITA4kakTJzjaREREZAaDE5l68UVApwOmTQPuvtve1RARETkMBicydvIk8O67ynOONhERERlhcCJj+tGmqVOBe+6xdzVEREQOhcGJrjt5EvjHP5TnHG0iIiIyweBE1730kjLaFB0NjBtn72qIiIgcDoMTKU6dAt55R3nO0SYiIiKzGJxIoR9tiooCxo+3dzVEREQOicGJgJISjjYRERFZgMGJlNGmxkYgMhKYMMHe1RARETksBqeurrQU2LpVec7RJiIiohYxOHV1+tGmBx8EJk60dzVEREQOjcGpKzt9Gnj7beU5R5uIiIhuqVXBaePGjQgMDISLiwvCwsKQl5fXYv/c3FyEhYXBxcUFgwcPxubNm036ZGRkIDg4GM7OzggODsaOHTus3u6aNWsQFBQENzc39O7dGw888AD27dtn1CciIgIqlcroMXfu3FbshU5AP9r0wAPAvffauxoiIiKHZ3Vw2r59OxITE/Hss8/i4MGDCA8Px9SpU3HmzBmz/UtKSjBt2jSEh4fj4MGDeOaZZ7BkyRJkZGQY+hQUFCAuLg7x8fE4fPgw4uPjMWfOHKPQY8l2hw0bhjfeeANHjhzB119/jYCAAERGRuLChQtGNS1YsADl5eWGx5tvvmntbuj4ONpERERkNZWIiDVvGDduHEJDQ7Fp0yZD25133olZs2Zh7dq1Jv2ffvppfPTRRzh69KihbdGiRTh8+DAKCgoAAHFxcaitrcWnn35q6BMdHY3evXtj27ZtrdouANTW1sLDwwO7d+/G/fffD0AZcRo9ejSSk5Ot+dgm66ypqYG7u3ur1uEQFi0C3nwTuP9+YPfuZrvpdDrk5eWhvLwc3t7eCA8Ph1qtbsdCiYiIbp+tfr+tGnGqr69HYWEhIiMjjdojIyORn59v9j0FBQUm/aOiorB//340NDS02Ee/ztZst76+Hm+99RY8PDwwatQoo2XvvfcePD09MWLECDz11FO4fPlys5+5rq4OtbW1Ro8O78wZ4O9/V563MNqUmZmJgIAATJ48GQ8//DAmT56MgIAAZGZmtlOhREREjsWq4FRVVQWdTocBAwYYtQ8YMAAVFRVm31NRUWG2f2NjI6qqqlrso1+nNdv9+OOP0aNHD7i4uGD9+vXIysqCp6enYfm8efOwbds25OTkYPXq1cjIyEBMTEyzn3nt2rXw8PAwPPz8/Jrt22GsXQs0NABTpgDh4Wa7ZGZmIjY2FmfPnjVqP3fuHGJjYxmeiIioS2rVyeEqlcrotYiYtN2q/83tlqzTkj6TJ0/GoUOHkJ+fj+joaMyZMweVlZWG5QsWLMADDzyAkJAQzJ07F+np6di9ezcOHDhgtvZVq1ahpqbG8CgrK2v2c3YIZWVAaqryvJnRJp1Oh4SEBJg7iqtvS0xMhE6na7MyiYiIHJFVwcnT0xNqtdpklKeystJkNEjPy8vLbH8nJyf07du3xT76dVqzXTc3N9xxxx0YP348UlNT4eTkhFR9UDAjNDQUGo0Gx48fN7vc2dkZ7u7uRo8OTT/aNHkycN99Zrvk5eWZjDTdSERQVlZ2y6spiYiIOhurgpNWq0VYWBiysrKM2rOysjCxmckTJ0yYYNJ/165dGDt2LDQaTYt99OtszXb1RAR1dXXNLv/uu+/Q0NAAb2/vFtfTKVgw2gQA5eXlFq3O0n5ERESdhlgpLS1NNBqNpKamSnFxsSQmJoqbm5uUlpaKiMjKlSslPj7e0P/UqVPi6uoqS5culeLiYklNTRWNRiPp6emGPnv27BG1Wi1JSUly9OhRSUpKEicnJ9m7d6/F271y5YqsWrVKCgoKpLS0VAoLC+XRRx8VZ2dnKSoqEhGREydOyPPPPy/ffvutlJSUyM6dOyUoKEjGjBkjjY2NFn3+mpoaASA1NTXW7jr7e/xxEUBk0qQWu2VnZwuAWz6ys7PbpWwiIqLbZavfb6uDk4jIhg0bxN/fX7RarYSGhkpubq5h2fz582XSTT/MOTk5MmbMGNFqtRIQECCbNm0yWecHH3wgw4cPF41GI0FBQZKRkWHVdq9duyazZ88WHx8f0Wq14u3tLTNmzJBvvvnG0OfMmTNy3333SZ8+fUSr1cqQIUNkyZIlUl1dbfFn77DBqaxMRKtVgtMtAk9jY6P4+vqKSqUyG5hUKpX4+flZHDaJiIjszVa/31bP49TVddh5nJ54AnjjDeW8ptzcW3bXX1UHwOgkcf3J+Onp6S1ejUhERORI7DKPE3VQ584Bb72lPF+zxqK3xMTEID09HQMHDjRq9/X1ZWgiIqIuy8neBVA7ePlloL5embMpIsLit8XExGDmzJmcOZyIiOjfGJw6u/PnjUebWphvyxy1Wo0IK8KWrfGWL0RE5EgYnDq7l18G6uqAX/xCmbupA8nMzERCQoLRnFK+vr5ISUnhoUIiIrILnuPUmZ0/r9zIF2jVaJM98ZYvRETkiBicOrN165TRpnvvVe5L10Hwli9EROSoGJw6q/LyDjvaxFu+EBGRo2Jw6qzWrQN+/hmYOBG4/357V2MV3vKFiIgcFYNTZ1ReDmzerDzvYKNNACy+b2CXuL8gERE5FAanzuiVV5TRpgkTgAcesHc1VgsPD4evr69hlvKbqVQq+Pn5ITw8vJ0rIyKiro7BqbOpqOjQo02AMndUSkoKAJiEJ/3r5ORkzudERETtjsHJQeh0OuTk5GDbtm3Iyclp/RVjr7wCXLsGjB8PPPigbYtsR7zlCxEROSLe5NdKbXGTX5tN9Ph//wcEBirB6dNPgehom9RnT5w5nIiIbMFWv9+cOdzO9BM93pxf9RM9WjW6oh9tGjcOiIpqg2rbn71v+UJERHQjjjhZyZYjTjqdDgEBAc3OWaRSqeDr64uSkpJbj7JUVgIBAUpw+uQTYOrU26qNiIioM7HV7zfPcbIjm070qB9tuueeTnGIjoiIyBExONmRzSZ6rKwENm5Unj/3XIe8ko6IiKgjYHCyI5tN9Pjf/w1cvQrcfTcP0REREbUhBic7sslEjxcuABs2KM852kRERNSmGJzsyCYTPepHm8aOBaZNa7NaiYiIiMHJ7m5roseqKo42ERERtSPO4+QAYmJiMHPmTOsnenz1VeCnn4CwMOCXv2yfYomIiLowBicHYfVEj1VVwOuvK8852kRERNQueKiuo3rtNWW0KTQUmD7d3tUQERF1CQxOHVF1NUebiIiI7IDBqSN67TXgyhVgzBjgV7+ydzVERERdBoNTR1NdDfz1r8pzjjYRERG1Kwanjmb9emW0afRoYMYMe1dDRETUpTA4dSQ//sjRJiIiIjticOpI1q8HLl8GRo0CZs60dzVERERdDoNTR/Hjj8C/b8/C0SYiIiL7YHDqKJKTldGmu+7iaBMREZGdMDh1BBcvGo82deP/bERERPbAX+COIDkZqK0FRo4EZs2ydzVERERdFoOTo7t0iaNNREREDoK/wo4uORmoqQFCQoDZs+1dDRERUZfG4OTILl1SghPA0SYiIiIHwF9iR5aScn20KSbG3tUQERF1eQxOjurG0ab/+i+ONhERETkA/ho7qr/+VQlPI0YAv/61vashIiIitDI4bdy4EYGBgXBxcUFYWBjy8vJa7J+bm4uwsDC4uLhg8ODB2Lx5s0mfjIwMBAcHw9nZGcHBwdixY4fV212zZg2CgoLg5uaG3r1744EHHsC+ffuM+tTV1eGJJ56Ap6cn3NzcMGPGDJw9e7YVe6EN1dQot1cBgNWrOdpERETkIKz+Rd6+fTsSExPx7LPP4uDBgwgPD8fUqVNx5swZs/1LSkowbdo0hIeH4+DBg3jmmWewZMkSZGRkGPoUFBQgLi4O8fHxOHz4MOLj4zFnzhyj0GPJdocNG4Y33ngDR44cwddff42AgABERkbiwoULhj6JiYnYsWMH0tLS8PXXX+PKlSuYPn06dDqdtbui7ehHm4KDgdhYe1dDREREemKle+65RxYtWmTUFhQUJCtXrjTbf8WKFRIUFGTUtnDhQhk/frzh9Zw5cyQ6OtqoT1RUlMydO7fV2xURqampEQCye/duERG5dOmSaDQaSUtLM/Q5d+6cdOvWTT777LNm12NunTU1NRb1t1pNjUjv3iKAyLZtbbMNIiKiLsZWv99WjTjV19ejsLAQkZGRRu2RkZHIz883+56CggKT/lFRUdi/fz8aGhpa7KNfZ2u2W19fj7feegseHh4YNWoUAKCwsBANDQ1G6/Hx8UFISEiz66mrq0Ntba3Ro029/rpyi5U77wQeeqhtt0VERERWsSo4VVVVQafTYcCAAUbtAwYMQEVFhdn3VFRUmO3f2NiIqqqqFvvo12nNdj/++GP06NEDLi4uWL9+PbKysuDp6WnYjlarRe/evS2uf+3atfDw8DA8/Pz8zPazidpa4NVXleerVwNqddtti4iIiKzWqrOOVSqV0WsRMWm7Vf+b2y1ZpyV9Jk+ejEOHDiE/Px/R0dGYM2cOKisrW/w8LdW/atUq1NTUGB5lZWUtruu2vPGGMtoUFATMmdN22yEiIqJWsSo4eXp6Qq1Wm4zOVFZWmowG6Xl5eZnt7+TkhL59+7bYR79Oa7br5uaGO+64A+PHj0dqaiqcnJyQmppq2E59fT0uXrxocf3Ozs5wd3c3erSJy5c52kREROTgrApOWq0WYWFhyMrKMmrPysrCxIkTzb5nwoQJJv137dqFsWPHQqPRtNhHv87WbFdPRFBXVwcACAsLg0ajMVpPeXk5ioqKbrmeNrd3L/DTT8Dw4UBcnH1rISIiIvOsPZs8LS1NNBqNpKamSnFxsSQmJoqbm5uUlpaKiMjKlSslPj7e0P/UqVPi6uoqS5culeLiYklNTRWNRiPp6emGPnv27BG1Wi1JSUly9OhRSUpKEicnJ9m7d6/F271y5YqsWrVKCgoKpLS0VAoLC+XRRx8VZ2dnKSoqMqxn0aJF4uvrK7t375YDBw7IlClTZNSoUdLY2GjR52/Tq+rOnRP55hvbr5eIiKiLs9Xvt9XBSURkw4YN4u/vL1qtVkJDQyU3N9ewbP78+TJp0iSj/jk5OTJmzBjRarUSEBAgmzZtMlnnBx98IMOHDxeNRiNBQUGSkZFh1XavXbsms2fPFh8fH9FqteLt7S0zZsyQb24KIteuXZPFixdLnz59pHv37jJ9+nQ5c+aMxZ+9zacjICIiIpuz1e+3SuTfZ2qTRWpra+Hh4YGampq2O9+JiIiIbMpWv9+8lwcRERGRhZzsXQARtQ2dToe8vDyUl5fD29sb4eHhUPNqTSKi28LgRNQJZWZmIiEhwegG1r6+vkhJSUFMTIwdKyMi6th4qI6ok8nMzERsbKxRaAKAc+fOITY2FpmZmXaqjIio42NwIupEdDodEhISYO6aD31bYmIidDpde5dGRNQpMDgRdSJ5eXkmI003EhGUlZUhLy+vHasiIuo8GJyIOpHy8nKb9iMiImMMTkSdiLe3t037ERGRMQYnok4kPDwcvr6+UKlUZperVCr4+fkhPDy8nSsjIuocGJyIOhG1Wo2UlBQAMAlP+tfJycmcz4mIqJUYnIg6mZiYGKSnp2PgwIFG7b6+vkhPT+c8TkREt4H3qrMS71VHHQVnDicius5Wv9+cOZyok1Kr1YiIiLB3GUREnQoP1RERERFZiMGJiIiIyEIMTkREREQWYnAiIiIishCDExEREZGFGJyIiIiILMTgRERERGQhBiciIiIiCzE4EREREVmIM4dbSX+HmtraWjtXQkRERJbS/27f7p3mGJysdPnyZQCAn5+fnSshIiIia12+fBkeHh6tfj9v8mulpqYmnD9/HiKCQYMGoaysjDf7baXa2lr4+flxH7YS99/t4z68Pdx/t4/78PZYs/9EBJcvX4aPjw+6dWv9mUoccbJSt27d4Ovraxjyc3d355f9NnEf3h7uv9vHfXh7uP9uH/fh7bF0/93OSJMeTw4nIiIishCDExEREZGFGJxaydnZGc899xycnZ3tXUqHxX14e7j/bh/34e3h/rt93Ie3xx77jyeHExEREVmII05EREREFmJwIiIiIrIQgxMRERGRhRiciIiIiCzE4NRKGzduRGBgIFxcXBAWFoa8vDx7l+QQ1qxZA5VKZfTw8vIyLBcRrFmzBj4+PujevTsiIiLw3XffGa2jrq4OTzzxBDw9PeHm5oYZM2bg7Nmz7f1R2sVXX32FX/3qV/Dx8YFKpcKHH35otNxW++vixYuIj4+Hh4cHPDw8EB8fj0uXLrXxp2sft9qHjzzyiMl3cvz48UZ9uvI+XLt2Le6++2707NkT/fv3x6xZs3Ds2DGjPvweNs+S/cfvYMs2bdqEu+66yzCJ5YQJE/Dpp58aljvc90/IamlpaaLRaGTLli1SXFwsCQkJ4ubmJqdPn7Z3aXb33HPPyYgRI6S8vNzwqKysNCxPSkqSnj17SkZGhhw5ckTi4uLE29tbamtrDX0WLVokAwcOlKysLDlw4IBMnjxZRo0aJY2Njfb4SG3qk08+kWeffVYyMjIEgOzYscNoua32V3R0tISEhEh+fr7k5+dLSEiITJ8+vb0+Zpu61T6cP3++REdHG30nq6urjfp05X0YFRUlb7/9thQVFcmhQ4fkl7/8pQwaNEiuXLli6MPvYfMs2X/8Drbso48+kp07d8qxY8fk2LFj8swzz4hGo5GioiIRcbzvH4NTK9xzzz2yaNEio7agoCBZuXKlnSpyHM8995yMGjXK7LKmpibx8vKSpKQkQ9vPP/8sHh4esnnzZhERuXTpkmg0GklLSzP0OXfunHTr1k0+++yzNq3d3m7+0bfV/iouLhYAsnfvXkOfgoICASDff/99G3+q9tVccJo5c2az7+E+NFZZWSkAJDc3V0T4PbTWzftPhN/B1ujdu7f87W9/c8jvHw/VWam+vh6FhYWIjIw0ao+MjER+fr6dqnIsx48fh4+PDwIDAzF37lycOnUKAFBSUoKKigqjfefs7IxJkyYZ9l1hYSEaGhqM+vj4+CAkJKTL7V9b7a+CggJ4eHhg3Lhxhj7jx4+Hh4dHl9mnOTk56N+/P4YNG4YFCxagsrLSsIz70FhNTQ0AoE+fPgD4PbTWzftPj99By+h0OqSlpeGnn37ChAkTHPL7x+BkpaqqKuh0OgwYMMCofcCAAaioqLBTVY5j3Lhx+Mc//oHPP/8cW7ZsQUVFBSZOnIjq6mrD/mlp31VUVECr1aJ3797N9ukqbLW/Kioq0L9/f5P19+/fv0vs06lTp+K9997Dl19+iVdffRXffvstpkyZgrq6OgDchzcSETz55JP4xS9+gZCQEAD8HlrD3P4D+B20xJEjR9CjRw84Oztj0aJF2LFjB4KDgx3y++dkVW8yUKlURq9FxKStK5o6darh+ciRIzFhwgQMGTIE77zzjuFkyNbsu668f22xv8z17yr7NC4uzvA8JCQEY8eOhb+/P3bu3ImYmJhm39cV9+HixYvxr3/9C19//bXJMn4Pb625/cfv4K0NHz4chw4dwqVLl5CRkYH58+cjNzfXsNyRvn8ccbKSp6cn1Gq1SUKtrKw0ScQEuLm5YeTIkTh+/Ljh6rqW9p2Xlxfq6+tx8eLFZvt0FbbaX15eXvi///s/k/VfuHChy+1TAPD29oa/vz+OHz8OgPtQ74knnsBHH32E7Oxs+Pr6Gtr5PbRMc/vPHH4HTWm1Wtxxxx0YO3Ys1q5di1GjRiElJcUhv38MTlbSarUICwtDVlaWUXtWVhYmTpxop6ocV11dHY4ePQpvb28EBgbCy8vLaN/V19cjNzfXsO/CwsKg0WiM+pSXl6OoqKjL7V9b7a8JEyagpqYG33zzjaHPvn37UFNT0+X2KQBUV1ejrKwM3t7eALgPRQSLFy9GZmYmvvzySwQGBhot5/ewZbfaf+bwO3hrIoK6ujrH/P5ZdSo5icj16QhSU1OluLhYEhMTxc3NTUpLS+1dmt0tW7ZMcnJy5NSpU7J3716ZPn269OzZ07BvkpKSxMPDQzIzM+XIkSPym9/8xuxlpb6+vrJ79245cOCATJkypdNOR3D58mU5ePCgHDx4UADIa6+9JgcPHjRMbWGr/RUdHS133XWXFBQUSEFBgYwcObJTXMYs0vI+vHz5sixbtkzy8/OlpKREsrOzZcKECTJw4EDuw3977LHHxMPDQ3Jycowul7969aqhD7+HzbvV/uN38NZWrVolX331lZSUlMi//vUveeaZZ6Rbt26ya9cuEXG87x+DUytt2LBB/P39RavVSmhoqNGlp12Zfn4NjUYjPj4+EhMTI999951heVNTkzz33HPi5eUlzs7Oct9998mRI0eM1nHt2jVZvHix9OnTR7p37y7Tp0+XM2fOtPdHaRfZ2dkCwOQxf/58EbHd/qqurpZ58+ZJz549pWfPnjJv3jy5ePFiO33KttXSPrx69apERkZKv379RKPRyKBBg2T+/Pkm+6cr70Nz+w6AvP3224Y+/B4271b7j9/BW/v9739v+D3t16+f3H///YbQJOJ43z+ViIh1Y1REREREXRPPcSIiIiKyEIMTERERkYUYnIiIiIgsxOBEREREZCEGJyIiIiILMTgRERERWYjBiYiIiMhCDE5EREREFmJwIiIiIrIQgxMRERGRhRiciIiIiCzE4ERERERkof8PEPgF6mtHyIkAAAAASUVORK5CYII=" + ] }, - "metadata": {}, - "output_type": "display_data", "jetTransient": { "display_id": null - } + }, + "metadata": {}, + "output_type": "display_data" } ], - "execution_count": 15 + "source": [ + "sr_diameter_law = law.diameter_law(xy,function=func, segment_length = 1e-4, plot= True)" + ] }, { "cell_type": "code", + "execution_count": 16, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:11.905449Z", "start_time": "2025-09-12T14:14:11.826261Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, - "source": [ - "#Estimate diameter law of crown root\n", - "cr_data = 'CR_diameters.csv'\n", - "cr = pd.read_csv(cr_data, sep=';')\n", - "cr_diameter_law = law.diameter_law(cr,function=func, segment_length = 1e-4, plot= True)" - ], "outputs": [ { "data": { + "image/png": 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", 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HH7V2t4iIiBrFcEQ3zLFjx/CPf/wDv/32G/r164fFixdj2bJl1u4WERFRoxiO6IZ5/fXX9bNJExERtRe8IJuIiIjIAMMRERERkQGGIyIiIiIDDEdEREREBhiOiIiIiAwwHBEREREZYDiiawoNDUVMTEyr7W/Dhg3o0aNHq+2PiIjIEMMRAQAeeughqFQqk8fx48eRmpqKF154QV/r4+ODhIQEo/dbI9Ckp6djypQp6N27N+zt7eHv74/FixejqKioVftBREQdC8MR6U2aNAnFxcVGD19fX/Tq1Qvdu3e3dveMvPXWW7jzzjvh6uqKlJQU5OXlYe3atSgvL8drr73W7O1WV1e3YC+JiKg9YjgiPVtbW7i6uho96td4qz+tFhoaitOnT2PRokX6o0sZGRn405/+hPLycn3bc889B0AJG0uWLIGHhwccHBwwevRoZGRkGO13w4YN6NevH+zt7TFjxgycPXu20X6eOXMGCxcuxMKFC/Hvf/8boaGh8PHxwW233YZ33nkHf//73wEAzz33HEaOHGn03oSEBPj4+OifP/TQQ5g+fTri4uLg7u6OwYMHY9myZRgzZozJfm+66SY8++yz+ufr16/H0KFDYWdnBz8/P6xevbppA01ERG0alw+50USAykrr7NveHlCpWnSTqampGDFiBB5++GHMmzcPANCrVy8kJCTg73//O3788UcAQLdu3QAAf/rTn3Dq1CkkJSXB3d0dW7duxaRJk3Do0CEMGjQIe/fuxZ///Ge89NJLCA8Px44dO4wCiDlbtmzRhy5zLD299+WXX8LR0RFpaWkQEQBAfHw8Tpw4gQEDBgAAjhw5gkOHDiE5ORkAsG7dOjz77LP417/+hVGjRiE3Nxfz5s2Dg4MD5s6da9H+iYiobWE4utEqK4H/BYVWd/Ei4ODQ5PLt27frQw0ATJ48GVu2bDGq6dWrF9RqNbp37w5XV1d9u5OTE1QqlVHbiRMnsGnTJpw5cwbu7u4AgCeeeAI7duzA+vXr8dJLL2HlypWYOHEiYmNjAQCDBw/G7t27sWPHjgb7eezYMTg6OsLNza3Jn60xDg4OeOedd6DVavVtN910Ez788EM888wzAICNGzfi5ptvxuDBgwEAL7zwAl577TWEh4cDAHx9fZGXl4e33nqL4YiIqJ1jOCK9CRMmYM2aNfrnDhYEK3P2798PEdEHinpVVVXo3bs3AODo0aOYMWOG0etjx45tNByJCFQteERs+PDhRsEIAGbPno1///vfeOaZZyAi2LRpk/7U4q+//orCwkL85S9/0R89A4Da2lo4OTm1WL+IiMg6GI5uNHt75QiOtfZtAQcHBwwcOLDFdl9XVwe1Wo2cnByo1Wqj1+qPUNWfxrLE4MGDUV5ejuLi4kaPHnXp0sVk+zU1NSZ15kLgAw88gNjYWOzfvx+XLl1CYWEhZs2apf9cgHJqbfTo0Ubvu/pzEhFR+8NwdKOpVBad2moPtFotdDrdNdtGjRoFnU6H0tJShISEmN2Wv78/9uzZY9R29fOrRUREIDY2Fq+88gpef/11k9fPnz+PHj16oE+fPigpKTE60nTgwIFrfTwAgKenJ2677TZs3LgRly5dwp133gkXFxcAgIuLCzw8PHDy5EnMnj27SdsjIqL2g+GILObj44Ovv/4as2bNgq2tLZydneHj44OLFy/iyy+/xIgRI2Bvb4/Bgwdj9uzZmDNnDl577TWMGjUKZWVl+OqrrzB8+HBMmTIFCxcuxLhx4/DKK69g+vTp2LlzZ6On1ADAy8sLr7/+Oh599FFUVFRgzpw58PHxwZkzZ/Dee++hW7dueO211xAaGopff/0Vr7zyCiIiIrBjxw589tlncHR0bNLnnD17Np577jlUV1ebhLDnnnsOCxcuhKOjIyZPnoyqqirs27cP586dw+OPP97ssSUiIuvjrfxkseeffx6nTp3CgAED0KdPHwDAuHHjsGDBAkRGRqJPnz545ZVXACi3u8+ZMweLFy/GkCFDMG3aNOzduxdeXl4AgDFjxuCdd97Bm2++iZEjR2Lnzp14+umnr9mHv/3tb9i5cyeKioowY8YM+Pn54a9//SscHR3xxBNPAACGDh2K1atXY9WqVRgxYgS+/fZb/WtNcd999+Hs2bOorKzE9OnTjV7761//infeeQcbNmzA8OHDMX78eGzYsAG+vr5N3j4REbVNKmnORR+dWEVFBZycnFBeXm5yBOLy5cvIz8+Hr68v7OzsrNRDao/4u0NEdGM19v19NR45IiIiIjLAa46IqE3S6XTIysrS35UYEhLCuwGJqFUwHBFRm5Oamoro6GicOXNG3+bp6YmVK1fqJ94kIrpReFqNiNqU1NRUREREGAUjACgqKkJERARSU1Ot1DMi6iwYjoiozdDpdIiOjjY7OWh9W0xMjMmcWkRELYnh6AbgDYBkKf7OKLKyskyOGBkSERQWFiIrK6sVe0VEnQ3DUQvSaDQAgMrKSiv3hNqb+t+Z+t+hzqq4uLhF64iImoMXZLcgtVqNHj16oLS0FABgb2/fogukUscjIqisrERpaSl69OjR6e/GamytvObUERE1B8NRC3N1dQUAfUAiaooePXrof3c6s5CQEHh6eqKoqMjsqUaVSgVPT88G1+ojImoJDEctTKVSwc3NDX379jW7AjzR1TQaTac/YlRPrVZj5cqViIiIgEqlMgpI9UdhExISOF5EdEMxHN0garWaf4ETNUN4eDiSk5PNznOUkJDAeY6I6Ibj2moWsmRtFiJqPs6QTUQtyZLvbx45IqI2Sa1WIzQ01NrdIKJOiLfyExERERlgOCIiIiIywHBEREREZIDhiIiIiMgAwxERERGRAYYjIiIiIgPNCkerV6+Gr68v7OzsEBQUdM0VsjMzMxEUFAQ7Ozv0798fa9euNalJSUmBv78/bG1t4e/vj61btzZrv0ePHsW0adPg5OSE7t27Y8yYMSgoKNC/XlVVhcceewzOzs5wcHDAtGnTGl0FnIiIiDoXi8PR5s2bERMTg+XLlyM3NxchISGYPHmyUQAxlJ+fjylTpiAkJAS5ubl46qmnsHDhQqSkpOhrsrOzERkZiaioKBw8eBBRUVGYOXMm9u7da9F+T5w4gVtvvRV+fn7IyMjAwYMH8cwzz8DOzk5fExMTg61btyIpKQnffPMNLl68iKlTp0Kn01k6FERERNQBWTxD9ujRoxEYGIg1a9bo24YOHYrp06cjLi7OpH7p0qX46KOPcPToUX3bggULcPDgQWRnZwMAIiMjUVFRgc8++0xfM2nSJPTs2RObNm1q8n5nzZoFjUaD999/32zfy8vL0adPH7z//vuIjIwEAPz888/w8vLCp59+iokTJ17z83OGbCIiovbHku9vi44cVVdXIycnB2FhYUbtYWFh2L17t9n3ZGdnm9RPnDgR+/bt0y/M2lBN/Tabst+6ujp88sknGDx4MCZOnIi+ffti9OjR2LZtm74+JycHNTU1Rttxd3dHQEBAg/2vqqpCRUWF0YOIiIg6LovCUVlZGXQ6HVxcXIzaXVxcUFJSYvY9JSUlZutra2tRVlbWaE39Npuy39LSUly8eBHx8fGYNGkSdu7ciRkzZiA8PByZmZn6/Wi1WvTs2bPJ/Y+Li4OTk5P+4eXl1eD4EBERUfvXrAuyVSqV0XMRMWm7Vv3V7U3ZZmM1dXV1AIB77rkHixYtwsiRIxEbG4upU6eavQC8qf1ftmwZysvL9Y/CwsJGt0VERETtm0XhyNnZGWq12uQoS2lpqclRnXqurq5m621sbNC7d+9Ga+q32ZT9Ojs7w8bGBv7+/kY1Q4cO1V+07erqiurqapw7d67J/be1tYWjo6PRg4iIiDoui8KRVqtFUFAQ0tLSjNrT0tIwbtw4s+8ZO3asSf3OnTsRHBwMjUbTaE39NpuyX61Wi5tvvhk//vijUc1PP/0Eb29vAEBQUBA0Go3RdoqLi3H48OEG+09ERESdjFgoKSlJNBqNJCYmSl5ensTExIiDg4OcOnVKRERiY2MlKipKX3/y5Emxt7eXRYsWSV5eniQmJopGo5Hk5GR9za5du0StVkt8fLwcPXpU4uPjxcbGRvbs2dPk/YqIpKamikajkbfffluOHTsmb775pqjVasnKytLXLFiwQDw9PeWLL76Q/fv3y+233y4jRoyQ2traJn3+8vJyASDl5eWWDh0RERFZiSXf3xaHIxGRVatWibe3t2i1WgkMDJTMzEz9a3PnzpXx48cb1WdkZMioUaNEq9WKj4+PrFmzxmSbW7ZskSFDhohGoxE/Pz9JSUmxaL/1EhMTZeDAgWJnZycjRoyQbdu2Gb1+6dIlefTRR6VXr17StWtXmTp1qhQUFDT5szMcERERtT+WfH9bPM9RZ8d5joiIiNqfGzbPEREREVFHx3BEREREZIDhiIiIiMgAwxERERGRAYYjIiIiIgMMR0REREQGGI6IiIiIDDAcERERERlgOCIiIiIywHBEREREZIDhiIiIiMgAwxERERGRAYYjIiIiIgMMR0REREQGGI6IiIiIDDAcERERERlgOCIiIiIywHBEREREZIDhiIiIiMgAwxERERGRAYYjIiIiIgMMR0REREQGGI6IiIiIDDAcERERERlgOCIiIiIywHBEREREZIDhiIiIiMiAjbU7QG2XTqdDVlYWiouL4ebmhpCQEKjVamt3i4iI6IZiOCKzUlNTER0djTNnzujbPD09sXLlSoSHh1uxZ0RERDcWT6uRidTUVERERBgFIwAoKipCREQEUlNTrdQzIiKiG4/hiIzodDpER0dDRExeq2+LiYmBTqdr7a4RERG1Cp5WIyNZWVkmR4wMiQgKCwuRlZWF0NDQ1usYERF1XNXVQH4+cPw4cOwYYGcHLFhgte4wHJGR4uLiFq0jIiICAFy+bByAjh+/8jh9Gqiru1I7ZAjDEbUdbm5uLVpHRESdyKVLwMmTpuHn2DGgsBAwc8mGnoMDMHAgMGgQ4O/fen02g+GIjISEhMDT0xNFRUVmrztSqVTw9PRESEiIFXpHRERWV1kJnDhhPgA1clkGAKB79ysBaOBA459dXACVqnU+wzUwHJERtVqNlStXIiIiAiqVyiggqf73S5uQkMD5joiIOrKLF42Dj+GpsJ9/bvy9jo5K4DEXgPr0aTMBqDEMR2QiPDwcycnJZuc5SkhI4DxHREQdQUVFwwGopKTx9/bo0XAA6t27XQSgxqjE3LkTalBFRQWcnJxQXl4OR0dHa3fnhuIM2URE7dz58+bDz/HjQGlp4+/t3bvhU2C9erVK91uSJd/fPHJEDVKr1bxdn4iorfvtt4YDUFlZ4+/t08d8ABowAOjZs3X63wYxHBEREbVlIsDZsw0HoN9+a/z9Li4NByAnp9b5DO0MwxEREVFbUFkJHDoE/Pij6Z1g5883/l43t4YDUPfurdL9joThiIiIqLVduAAcOADs3w/k5Cj/PXrUeCLEq3l4mA9A/fsD3bq1Wtc7A4YjIiKiG+n8eSA31zgI/fST+QkR+/YFhg0zH4Ds7Vu9650VwxEREVFLOXvWOATt369MmGiOhwcQGAgEBSn/DQwE3N3b/W3wHQHDERERUXP88otxCMrJAQoKzNd6exuHoMBA5UJpapMYjoiIiBojoswKXR+E6v/b0EzRAwdeCUBBQcCoUcqcQdRuMBwRERHVE1FWiDc8GrR/v/kJE1UqZfV4w1NjI0cqs0dTu8ZwREREnVNdnbKC/NXXCJmbN6hLF2Wl+KuDEO8S65AYjoiIqOPT6ZS5gwxD0P79yvpiV7OxAQICjK8Ruukm3i3WiXRpzptWr14NX19f2NnZISgoCFlZWY3WZ2ZmIigoCHZ2dujfvz/Wrl1rUpOSkgJ/f3/Y2trC398fW7dutXi/Dz30EFQqldFjzJgxRjWhoaEmNbNmzWrGKBARUZtUW6tMpvjuu0B0NHDrrcpM0EOHAg8+CPzzn0BGhhKMbG2Bm28G5s8H3noL2LdPWZE+Nxd45x3gb38DxoxhMOpkLD5ytHnzZsTExGD16tX4wx/+gLfeeguTJ09GXl4e+vXrZ1Kfn5+PKVOmYN68efjggw+wa9cu/O1vf0OfPn1w7733AgCys7MRGRmJF154ATNmzMDWrVsxc+ZMfPPNNxg9erRF+500aRLWr1+vf67Vak36NG/ePDz//PP65127drV0GIiIqC2orgaOHDG+RujgQeDyZdParl2VU2GGp8b8/QGNptW7TW2bSsTcLFQNGz16NAIDA7FmzRp929ChQzF9+nTExcWZ1C9duhQfffQRjh49qm9bsGABDh48iOzsbABAZGQkKioq8Nlnn+lrJk2ahJ49e2LTpk1N3u9DDz2E8+fPY9u2bQ32PzQ0FCNHjkRCQoIlH1vPklV9iYioBV2+rBwRMrxG6NAhJSBdrVs35S4xw1NjQ4Yop8yoU7Lk+9ui35Lq6mrk5OQgNjbWqD0sLAy7d+82+57s7GyEhYUZtU2cOBGJiYmoqamBRqNBdnY2Fi1aZFJTH2As2W9GRgb69u2LHj16YPz48XjxxRfRt29fo5qNGzfigw8+gIuLCyZPnoxnn30W3RtYe6aqqgpVVVX65xXmzk8TEVHLqqxUjgAZXiN05IhyyuxqPXoYzx8UFKTcTt+lWVeOEFkWjsrKyqDT6eBy1cRVLi4uKCkpMfuekpISs/W1tbUoKyuDm5tbgzX122zqfidPnoz77rsP3t7eyM/PxzPPPIPbb78dOTk5sLW1BQDMnj0bvr6+cHV1xeHDh7Fs2TIcPHgQaWlpZvsfFxeHFStWNGF0iIioWerXGTMMQg2tM9a795WjQfX/9fXlrNLUopp1fFF11S+hiJi0Xav+6vambPNaNZGRkfqfAwICEBwcDG9vb3zyyScIDw8HoFxvZFgzaNAgBAcHY//+/QgMDDTp+7Jly/D444/rn1dUVMDLy6vBz0pERI04f974brGcHOUuMnNXeLi4mAYhLy8GIbrhLApHzs7OUKvVJkeJSktLTY7q1HN1dTVbb2Njg97/mzG0oZr6bTZnvwDg5uYGb29vHDt2rMGawMBAaDQaHDt2zGw4srW11R91IiIiC5SVmU6mePKk+VpPT/PrjBFZgUXhSKvVIigoCGlpaZgxY4a+PS0tDffcc4/Z94wdOxYff/yxUdvOnTsRHBwMzf/uEBg7dizS0tKMrjvauXMnxo0b1+z9AsDZs2dRWFgINze3BmuOHDmCmpqaRmuIiOgaSkpMJ1NsaJ0xHx/TdcauujaUyKrEQklJSaLRaCQxMVHy8vIkJiZGHBwc5NSpUyIiEhsbK1FRUfr6kydPir29vSxatEjy8vIkMTFRNBqNJCcn62t27dolarVa4uPj5ejRoxIfHy82NjayZ8+eJu/3woULsnjxYtm9e7fk5+dLenq6jB07Vjw8PKSiokJERI4fPy4rVqyQ7777TvLz8+WTTz4RPz8/GTVqlNTW1jbp85eXlwsAKS8vt3ToiIjav7o6kcJCkf/+V+TvfxeZOlXEzU1EOTFm+hg4UCQyUuTll0XS0kTOnrX2J6BOypLvb4vDkYjIqlWrxNvbW7RarQQGBkpmZqb+tblz58r48eON6jMyMmTUqFGi1WrFx8dH1qxZY7LNLVu2yJAhQ0Sj0Yifn5+kpKRYtN/KykoJCwuTPn36iEajkX79+sncuXOloKBAX1NQUCC33Xab9OrVS7RarQwYMEAWLlwoZy34w8pwRESdRl2dSH6+SHKyyFNPiUyaJNKnj/kQpFKJDB0qMnu2yGuviWRkiJw/b+1PQKRnyfe3xfMcdXac54iIOqT6dcauXnn+3DnTWrXadJ2xESO4zhi1aTdsniMiIuoAdDrgp5+ML5bOzTW/zphGY36dMa4sQB0YwxERUUdWW6vMGWR4NOjAAeD3301rbW2VI0CGkykOG6a0E3UiDEdERB1F/TpjhneMNbTOmL296TpjQ4dynTEiMBwREbVPly8D339vfGrs0CGgpsa0tnt3ZZ0xwyA0ZIhy7RARmWA4IiJq637/XTkCZBiEjhxRrh26Wv06Y4bXCHGdMSKLMBwREbUlFRXKNUGG1wj98IP5dcacnY1DUFCQMsEil9cgui4MR0RE1nLunHKXmOE1Qj/9ZL7Wzc04BAUGKktuMAgRtTiGIyKi1lC/zphhEGponTEvL9NTY1ziiKjVMBwREbW0khLjEJSTAxQWmq/19TUOQqNGcZ0xIitjOCIiai4R4MwZ05Xni4vN1w8aZLrgas+erdtnIromhiMioqYQAU6dMj019uuvprVdugB+fsbXCI0cCXDJIaJ2geGIiOhqdXXAiROmQaihdcaGDTNdZ8zBofX7TUQtguGIiDq3+nXGDENQY+uMDR9ufGps+HCuM0bUwTAcEVHnUVsL5OUZXyN04ABQWWlaa2dnfp0xrbbVu01ErYvhiIg6pupq4PBh4yD0/fcNrzNWv7xGfRDy8+M6Y0SdFMMREbV/ly4p64oZXiPU2DpjV0+mOHgw1xkjIj2GIyJqX3Q65Zqg7OwrR4UaWmesZ0/TyRQHDOA6Y0TUKIYjum46nQ5ZWVkoLi6Gm5sbQkJCoOa/wqmliCgXTH/5pfJITzd/11ifPqbrjHl7c3kNIrIYwxFdl9TUVERHR+PMmTP6Nk9PT6xcuRLh4eFW7Bm1ayJARgbw/vvAF1+Yzi7t6AjceisQHHwlEHl4MAgRUYtgOKJmS01NRUREBETEqL2oqAgRERFITk5mQCLLnDsHvPsusHYt8OOPV9q1WuAPfwDuvBO44w4lENnwry8iujFUcvU3GzWqoqICTk5OKC8vh2Mnnu1Wp9PBx8fH6IiRIZVKBU9PT+Tn5/MUG13bd98Ba9YASUnKxdUA0K0bMHs2EB6uHCWyt7duH4moXbPk+5v/9KJmycrKajAYAYCIoLCwEFlZWQgNDW29jlH78fvvShhas0a5w6ze8OHAI48ADz6o3FlGRNTKGI6oWYobWlizmXXUiRw9qgSi994DysuVNq0WmDkTWLAAGDeO1w4RkVUxHFGzuLm5tWgddXDV1cDWrUooysy80t6/vxKI/vQnwNnZev0jIjLAcETNEhISAk9PTxQVFZlckA1cueYoJCTECr2jNuP0aeDtt4HEROCXX5S2Ll2Au+9WTp398Y+cc4iI2hyGI2oWtVqNlStXIiIiAiqVyiggqf53SiQhIYEXY3dGOh3w+efKUaJPP1VWuAcANzfgr38F5s0DvLys20ciokbwn2zUbOHh4UhOToaHh4dRu6enJ2/j74xKS4G4OGDgQOCuu4Dt25VgdMcdQHKychTp+ecZjIiozeOt/BbirfymOEN2JyYCZGUpR4lSUq6sZdazJ/DQQ8D8+cCQIVbtIhERwFv5qZWp1Wrert/ZlJcrs1evXausa1bvlluUa4kiI4GuXa3XPyKi68BwRERNl5urHCXauBGorFTa7O2BBx5QQlFgoHX7R0TUAhiOiKhxly4BmzcrR4n27r3S7u+vBKKoKMDJyXr9IyJqYQxHRGTeTz8pgWjDBmXNMwDQaIB771VCUUgIJ2skog6J4YiIrqipAT76SDl19uWXV9q9vZWLq//8Z8DFxXr9IyJqBQxHRAScOaNM1vjOO0D9ki8qFTBlinKUaNIkgHcgElEnwXBE1FnV1QFpacpRoo8/vjJZY9++VyZr9PGxaheJiKyB4YiosykrA9avB956Czhx4kr7+PHKUaIZM5SFYImIOimGI6LOQATIzlaOEm3ZAlRVKe2OjsDcucrir/7+1u0jEVEbwXBE1JFduAB88IFy19n3319pDwpSjhLNmgU4OFivf0REbRDDEVFH9P33ylGiDz4ALl5U2uzsgPvvV0LRzTdbt39ERG0YwxFRR3H5srLA65o1wO7dV9qHDFFOm82dq6x5RkRtEtepbDsYjojauxMnlIur//1v4OxZpc3GBpg+XTlKNGECJ2skauNSU1MRHR2NM2fO6Ns8PT2xcuVKhIeHW7FnnRPDEVF7VFsLbN+uXEv0+edX2r28gIcfBv7yF8DNzXr9I6ImS01NRUREBETEqL2oqAgRERFITk5mQGplKrn6/wY1qqKiAk5OTigvL4ejo6O1u0Odzc8/KxM1rlunTNwIKEeFJk5UjhJNmaIcNSKidkGn08HHx8foiJEhlUoFT09P5Ofn8xTbdbLk+5t/ixK1dSLAV18p1xJt2wbodEq7s7OynMf8+UD//lbtIhE1T1ZWVoPBCABEBIWFhcjKykJoaGjrdayTYzgiaqt++w14913l1NlPP11p/8MflKNEERGAra31+kdE1624frmeFqqjlsFwRNSWiADffqsEoqQk5Q40AOjeHYiKUu46Gz7cun0kohbj1sRrA5taRy2D4YioLfj9d+DDD5VTZ7m5V9pHjFCOEj3wgBKQiKhDCQkJgaenJ4qKikwuyAauXHMUEhJihd51XgxHRNZ05IhylOi994CKCqXN1haYOVMJRWPG8DZ8og5MrVZj5cqViIiIgEqlMgpIqv/92U9ISODF2K2si7U7QNTpVFcrp8zGjwcCAoB//UsJRgMGAK++ChQVKWFp7FgGI6JOIDw8HMnJyfDw8DBq9/T05G38VtKscLR69Wr4+vrCzs4OQUFByMrKarQ+MzMTQUFBsLOzQ//+/bF27VqTmpSUFPj7+8PW1hb+/v7YunWrxft96KGHoFKpjB5jxowxqqmqqsJjjz0GZ2dnODg4YNq0aY3eKUDUYk6dAp56SpmL6P77ga+/BtRqYMYMZa6in34CnngC6N3b2j0lolYWHh6OU6dOIT09HR9++CHS09ORn5/PYGQtYqGkpCTRaDSybt06ycvLk+joaHFwcJDTp0+brT958qTY29tLdHS05OXlybp160Sj0UhycrK+Zvfu3aJWq+Wll16So0ePyksvvSQ2NjayZ88ei/Y7d+5cmTRpkhQXF+sfZ8+eNerPggULxMPDQ9LS0mT//v0yYcIEGTFihNTW1jbp85eXlwsAKS8vt2TYqLOqrRX5+GORKVNEVCoR5ZJrEXd3kWefFSkstHYPiYg6BUu+vy0OR7fccossWLDAqM3Pz09iY2PN1i9ZskT8/PyM2ubPny9jxozRP585c6ZMmjTJqGbixIkya9Ysi/Y7d+5cueeeexrs+/nz50Wj0UhSUpK+raioSLp06SI7duxo8H2GGI6oSUpKRF58UcTb+0ogAkTuvFMkJUWkutraPSQi6lQs+f626LRadXU1cnJyEBYWZtQeFhaG3YYLXRrIzs42qZ84cSL27duHmpqaRmvqt2nJfjMyMtC3b18MHjwY8+bNQ2lpqf61nJwc1NTUGG3H3d0dAQEBDfa/qqoKFRUVRg8is0SAzExg1izl1Nny5cDp00CvXsDixcpps7Q0IDwc0Gis3VsiImqARXerlZWVQafTwcXFxajdxcUFJSUlZt9TUlJitr62thZlZWVwc3NrsKZ+m03d7+TJk3HffffB29sb+fn5eOaZZ3D77bcjJycHtra2KCkpgVarRc+rViZvrP9xcXFYsWJFI6NCnd7588D77yt3neXlXWkfM0a54+y++4CuXa3WPSIiskyzbuVXXXUHjYiYtF2r/ur2pmzzWjWRkZH6nwMCAhAcHAxvb2988sknjV7U1lj/ly1bhscff1z/vKKiAl5eXg1uizqRnBxlXqJNm4DKSqXNwQGYPVuZrHHUKOv2j4iImsWicOTs7Ay1Wm1ylKW0tNTkqE49V1dXs/U2Njbo/b+7chqqqd9mc/YLKDOKent749ixY/r9VFdX49y5c0ZHj0pLSzFu3Diz27C1tYUtl2igepWVwObNSij67rsr7cOGKUeJHnwQcHKyXv+IiOi6WXTNkVarRVBQENLS0oza09LSGgwXY8eONanfuXMngoODofnfdRcN1dRvszn7BYCzZ8+isLBQP+16UFAQNBqN0XaKi4tx+PDhRrdDhB9+ABYtAjw8lMVev/sO0GqVmau//ho4dAj4v/9jMCIi6ggsvdq7/pb6xMREycvLk5iYGHFwcJBTp06JiEhsbKxERUXp6+tv5V+0aJHk5eVJYmKiya38u3btErVaLfHx8XL06FGJj49v8Fb+hvZ74cIFWbx4sezevVvy8/MlPT1dxo4dKx4eHlJRUaHfzoIFC8TT01O++OIL2b9/v9x+++28lZ/Mq64W+c9/RCZMML7jzNdXJD5e5JdfrN1DIiJqoht6K7+IyKpVq8Tb21u0Wq0EBgZKZmam/rW5c+fK+PHjjeozMjJk1KhRotVqxcfHR9asWWOyzS1btsiQIUNEo9GIn5+fpKSkWLTfyspKCQsLkz59+ohGo5F+/frJ3LlzpaCgwGgbly5dkkcffVR69eolXbt2lalTp5rUNIbhqBMoKBB5+mkRV9crgahLF5G77xb59FMRnc7aPSQiIgtZ8v2tEjGz0h01qKKiAk5OTigvL4ejo6O1u0Mtpa4O2LlTuZZo+3blOQC4uAB//Svw8MNAv37W7SMRETWbJd/fXHiWOrdffwXWrwfeegs4efJK+4QJyh1n06cr1xYREVGnwXBEnY8IsGuXcpQoOVlZCBZQLqZ+6CElFPn5WbWLRERkPQxH1HlUVAAffKCEosOHr7QHByu34c+aBdjbW69/RETUJjAcUcd38KASiDZuBC5eVNq6dgXuv18JRcHB1u0fERG1KQxH1DFdvgxs2aKEouzsK+1+fsppszlzgKuWkSEiIgIYjqijOX5cWeNs/Xrgt9+UNhsbZbHXRx4Bxo8HGlnqhoiIiOGI2r/aWuDjj5WjRIazqPfrp9yC/5e/AK6u1usfERG1KwxH1H4VFQHvvAOsW6f8DChHhSZPVk6dTZkCqNXW7SMREbU7DEfUvtTVAV9+qZw6++9/AZ1Oae/TRzlC9PDDgK+vdftIRETtGsMRtQ9nzwIbNiiTNR47dqU9JES5lig8HLC1tVr3iIio42A4orZLBNi7V7mWaPNmoKpKae/eXbnbbMECICDAun0kIqIOh+GI2p6LF4EPP1RC0YEDV9pHjlSOEj3wANCtm7V6R0REHRzDEbUdhw8r1xK99x5w4YLSZmcHREYqoeiWW3gbPhER3XAMR2RdVVVASopylOibb660DxqknDZ76CGgVy+rdY+IiDofhiOyjvx85eLqf/8b+PVXpU2tBu65RzlKdPvtQJcu1u0jERF1SgxH1Hp0OuCTT5RTZzt2KBdcA4CHx5XJGj08rNtHIiLq9BiO6MYrKVEma3z7baCw8Ep7WJhylGjqVGWJDyIiojaA30h0Y4gAGRnKtURbtypLfABA797An/4EzJ8PDBxo1S4SERGZw3BELev8eeDdd5VTZz/8cKV93DjlKFFEhHIHGhERURvFcEQtY/9+YNUqYNMm4NIlpa1bN+DBB5W7zkaMsG7/iIiImojhiK7P5cvA0qXAG29caRs+XDlKNHs24Ohovb4RERE1A8MRNd/33ysB6PBh5fmsWcCjjyqn0DhZIxERtVMMR2S5ujpg5UogNhaorgZcXID164HJk63dMyIiouvGcESW+flnZdbqtDTl+d13K7fp9+1r1W4RERG1FE5BTE23datyPVFaGtC1q3JH2n//y2BEREQdCo8c0bVdvAjExACJicrzwEBg40bAz8+q3SIiIroReOSIGrdvHzBqlBKMVCrlOqPsbAYjIiLqsHjkiBr25ZfAtGlAZSXg5QW8/z4wfry1e0VERHRDMRyReZ9+CoSHA1VVwMSJQFIS0KOHtXtFRER0w/G0GpnauhWYPl0JRvfco1x0zWBERESdBMMRGUtKAu67D6ipAWbOBLZsAWxtrd0rIiKiVsNwRFds2KDMeK3TAXPmAB9+CGg01u4VERFRq2I4IsXatcCf/qTMfv3ww8qM12q1tXtFRETU6hiOCEhIUBaKBYCFC5Wg1IW/GkRE1DnxG7Czi4sDFi1Sfo6NVYISF40lIqJOjOGosxIB/v534KmnlOcrVgAvvcRgREREnR7nOeqMRIAlS4D/9/+U5y+/rDwnIiIihqNOp65Oua5o1Srl+RtvAI89Zt0+ERERtSEMR52JTgfMn39lnbS33gLmzbN2r4iIiNoUhqPOorYWeOghYONG5U60DRuAqChr94qIiKjNYTjqDKqrgQceAFJSABsbZXLH++6zdq+IiIjaJIajju7yZSUIbd8OaLXKciDTplm7V0RERG0Ww1FHVlmpLCCblgbY2QHbtgETJ1q7V0RERG0aw1FHdeECcPfdQGYm4OAAfPwxMGGCtXtFRETU5jEcdUTnzwOTJwN79gCOjsBnnwHjxlm7V0RERO0Cw1FHc/YsEBYG7N8P9OwJ7NwJBAdbu1dERETtBsNRR/LLL8Af/wgcOgT06aNcazRihLV7RURE1K4wHHUURUXAHXcAP/4IuLkBX34JDB1q7V4RERG1OwxHHcHp08DttwMnTwJeXsBXXwEDB1q7V0RERO1Sl+a8afXq1fD19YWdnR2CgoKQlZXVaH1mZiaCgoJgZ2eH/v37Y+3atSY1KSkp8Pf3h62tLfz9/bF169br2u/8+fOhUqmQkJBg1B4aGgqVSmX0mDVrVtM+eFt0/Dhw221KMOrfH/j6awYjIiKi62BxONq8eTNiYmKwfPly5ObmIiQkBJMnT0ZBQYHZ+vz8fEyZMgUhISHIzc3FU089hYULFyIlJUVfk52djcjISERFReHgwYOIiorCzJkzsXfv3mbtd9u2bdi7dy/c3d3N9mnevHkoLi7WP9566y1Lh6FtOHpUCUYFBcCQIUow8vGxdq+IiIjaN7HQLbfcIgsWLDBq8/Pzk9jYWLP1S5YsET8/P6O2+fPny5gxY/TPZ86cKZMmTTKqmThxosyaNcvi/Z45c0Y8PDzk8OHD4u3tLa+//rrR6+PHj5fo6OhGP2NjysvLBYCUl5c3exst4sABkT59RACRgACRkhLr9oeIiKgNs+T726IjR9XV1cjJyUFYWJhRe1hYGHbv3m32PdnZ2Sb1EydOxL59+1BTU9NoTf02m7rfuro6REVF4cknn8SwYcMa/BwbN26Es7Mzhg0bhieeeAIXLlxosLaqqgoVFRVGD6vbt0+Z0PHXX4FRo4D0dMDFxdq9IiIi6hAsuiC7rKwMOp0OLld9Ebu4uKCkpMTse0pKSszW19bWoqysDG5ubg3W1G+zqft9+eWXYWNjg4ULFzb4GWbPng1fX1+4urri8OHDWLZsGQ4ePIi0tDSz9XFxcVixYkWD22t1u3crEzxWVABjxigTPPboYe1eERERdRjNultNpVIZPRcRk7Zr1V/d3pRtNlaTk5ODlStXYv/+/Y32Zd68efqfAwICMGjQIAQHB2P//v0IDAw0qV+2bBkef/xx/fOKigp4eXk1uP0bKiMDmDoV+P135Vqj7duB7t2t0xciK9HpdMjKykJxcTHc3NwQEhICtVpt7W4RUQdi0Wk1Z2dnqNVqk6NEpaWlJkd16rm6upqtt7GxQe/evRutqd9mU/ablZWF0tJS9OvXDzY2NrCxscHp06exePFi+DRykXJgYCA0Gg2OHTtm9nVbW1s4OjoaPazi88+VI0a//w7ceadyxIjBiDqZ1NRU+Pj4YMKECXjggQcwYcIE+Pj4IDU11dpdI6IOxKJwpNVqERQUZHIKKi0tDeMaWLtr7NixJvU7d+5EcHAwNBpNozX122zKfqOiovD999/jwIED+oe7uzuefPJJfP755w1+piNHjqCmpgZubm5NGAEr+egjYNo04PJl4K67lEVk7e2t3SuiVpWamoqIiAicOXPGqL2oqAgREREMSETUciy92jspKUk0Go0kJiZKXl6exMTEiIODg5w6dUpERGJjYyUqKkpff/LkSbG3t5dFixZJXl6eJCYmikajkeTkZH3Nrl27RK1WS3x8vBw9elTi4+PFxsZG9uzZ0+T9mnP13WrHjx+XFStWyHfffSf5+fnyySefiJ+fn4waNUpqa2ub9Plb/W61//xHxMZGuSvt3ntFqqpaZ79EbUhtba14enoKALMPlUolXl5eTf5zTESdjyXf3xaHIxGRVatWibe3t2i1WgkMDJTMzEz9a3PnzpXx48cb1WdkZMioUaNEq9WKj4+PrFmzxmSbW7ZskSFDhohGoxE/Pz9JSUmxaL/mXB2OCgoK5LbbbpNevXqJVquVAQMGyMKFC+Xs2bNN/uytGo7ee0+kSxclGD3wgEhNzY3fJ1EblJ6e3mAwMnykp6dbu6tE1EZZ8v2tEvnf1dHUJBUVFXByckJ5efmNvf5o3Tpg/nxABPjzn4G33wZ40Sl1Ups2bcIDDzxwzboPP/wQ999/fyv0iIjaG0u+v5u1fAjdYG++CTz8sBKM/vY3JSgxGFEn1tRrAtv0tYNE1G4wHLU1r7wC1M/TtHgx8K9/AV34v4k6t5CQEHh6ejY4TYdKpYKXlxdCQkJauWdE1BHxW7etEAGefx5YulR5/vTTwKuvAo3M2UTUWajVaqxcuRKA6Xxn9c8TEhI43xERtQiGo7YiJQV49lnl53/8A3jhBQYjIgPh4eFITk6Gh4eHUbunpyeSk5MRHh5upZ4RUUfDC7ItdMMuyK6tBR58EBg9Gli0qOW2S9TBcIZsImoOS76/GY4sdEPvVhPh0SIiIqIbwJLv72atrUY3CIMRkREeJSIia2A4IqI2KTU1FdHR0UbLhXh6emLlypW8voiIbihekE1EbQ7XUSMia2I4IqI2RafTITo6GuYuh6xvi4mJgU6na+2uEVEnwXBERG1KVlaWyREjQyKCwsJCZGVltWKviKgzYTgiojaluLi4ReuIiCzFcEREbQrXUSMia2M4IqI2heuoEZG1MRwRUZvCddSIyNoYjoiozeE6akRkTVw+xEI3dPkQIjLCGbKJqKVw+RAi6hDUajVCQ0Ot3Q0i6mR4Wo2IiIjIAMMRERERkQGGIyIiIiIDDEdEREREBhiOiIiIiAwwHBEREREZYDgiIiIiMsBwRERERGSA4YiIiIjIAMMRERERkQGGIyIiIiIDDEdEREREBhiOiIiIiAwwHBEREREZYDgiIiIiMsBwRERERGSA4YiIiIjIAMMRERERkQGGIyIiIiIDDEdEREREBhiOiIiIiAwwHBEREREZYDgiIiIiMsBwRERERGSA4YiIiIjIAMMRERERkQGGIyIiIiIDDEdEREREBhiOiIiIiAwwHBEREREZYDgiIiIiMtCscLR69Wr4+vrCzs4OQUFByMrKarQ+MzMTQUFBsLOzQ//+/bF27VqTmpSUFPj7+8PW1hb+/v7YunXrde13/vz5UKlUSEhIMGqvqqrCY489BmdnZzg4OGDatGk4c+ZM0z44ERERdXgWh6PNmzcjJiYGy5cvR25uLkJCQjB58mQUFBSYrc/Pz8eUKVMQEhKC3NxcPPXUU1i4cCFSUlL0NdnZ2YiMjERUVBQOHjyIqKgozJw5E3v37m3Wfrdt24a9e/fC3d3d5LWYmBhs3boVSUlJ+Oabb3Dx4kVMnToVOp3O0qEgIiKijkgsdMstt8iCBQuM2vz8/CQ2NtZs/ZIlS8TPz8+obf78+TJmzBj985kzZ8qkSZOMaiZOnCizZs2yeL9nzpwRDw8POXz4sHh7e8vrr7+uf+38+fOi0WgkKSlJ31ZUVCRdunSRHTt2NPKprygvLxcAUl5e3qR6IiIisj5Lvr8tOnJUXV2NnJwchIWFGbWHhYVh9+7dZt+TnZ1tUj9x4kTs27cPNTU1jdbUb7Op+62rq0NUVBSefPJJDBs2zKQvOTk5qKmpMdqOu7s7AgICGux/VVUVKioqjB5ERETUcVkUjsrKyqDT6eDi4mLU7uLigpKSErPvKSkpMVtfW1uLsrKyRmvqt9nU/b788suwsbHBwoULG+yLVqtFz549m9z/uLg4ODk56R9eXl5m64iIiKhjaNYF2SqVyui5iJi0Xav+6vambLOxmpycHKxcuRIbNmxotC/mNNb/ZcuWoby8XP8oLCy0aNtERETUvlgUjpydnaFWq02OspSWlpoc1ann6upqtt7Gxga9e/dutKZ+m03Zb1ZWFkpLS9GvXz/Y2NjAxsYGp0+fxuLFi+Hj46PfT3V1Nc6dO9fk/tva2sLR0dHoQURERB2XReFIq9UiKCgIaWlpRu1paWkYN26c2feMHTvWpH7nzp0IDg6GRqNptKZ+m03Zb1RUFL7//nscOHBA/3B3d8eTTz6Jzz//HAAQFBQEjUZjtJ3i4mIcPny4wf4TERFRJ2Pp1d5JSUmi0WgkMTFR8vLyJCYmRhwcHOTUqVMiIhIbGytRUVH6+pMnT4q9vb0sWrRI8vLyJDExUTQajSQnJ+trdu3aJWq1WuLj4+Xo0aMSHx8vNjY2smfPnibv15yr71YTEVmwYIF4enrKF198Ifv375fbb79dRowYIbW1tU36/LxbjYiIqP2x5PvbxtIwFRkZibNnz+L5559HcXExAgIC8Omnn8Lb2xuAciTGcO4hX19ffPrpp1i0aBFWrVoFd3d3vPHGG7j33nv1NePGjUNSUhKefvppPPPMMxgwYAA2b96M0aNHN3m/TfX666/DxsYGM2fOxKVLl3DHHXdgw4YNUKvVlg4FERERdUAqkf9dHU1NUlFRAScnJ5SXl/P6IyIionbCku9vrq1GREREZIDhiIiIiMgAwxERERGRAYYjIiIiIgMMR0REREQGGI6IiIiIDDAcERERERlgOCIiIiIywHBEREREZIDhiIiIiMgAwxERERGRAYYjIiIiIgMMR0REREQGGI6IiIiIDDAcERERERlgOCIiIiIywHBEREREZIDhiIiIiMgAwxERERGRAYYjIiIiIgMMR0REREQGGI6IiIiIDDAcERERERlgOCIiIiIywHBEREREZIDhiIiIiMgAwxERERGRAYYjIiIiIgMMR0REREQGGI6IiIiIDDAcERERERlgOCIiIiIyYGPtDpBCp9MhKysLxcXFcHNzQ0hICNRqtbW7RURE1OkwHLUBqampiI6OxpkzZ/Rtnp6eWLlyJcLDw63YMyIios6Hp9WsLDU1FREREUbBCACKiooQERGB1NRUK/WMiIioc2I4siKdTofo6GiIiMlr9W0xMTHQ6XSt3TUiIqJOi+HIirKyskyOGBkSERQWFiIrK6sVe0VERNS5MRxZUXFxcYvWERER0fVjOLIiNze3Fq0jIiKi68dwZEUhISHw9PSESqUy+7pKpYKXlxdCQkJauWdERESdF8ORFanVaqxcuRIATAJS/fOEhATOd0RERNSKGI6sLDw8HMnJyfDw8DBq9/T0RHJyMuc5IiIiamUqMXcfOTWooqICTk5OKC8vh6OjY4ttlzNkExER3TiWfH9zhuw2Qq1WIzQ01NrdICIi6vR4Wo2IiIjIAMMRERERkQGGIyIiIiIDDEdEREREBhiOiIiIiAw0KxytXr0avr6+sLOzQ1BQ0DUXRs3MzERQUBDs7OzQv39/rF271qQmJSUF/v7+sLW1hb+/P7Zu3Wrxfp977jn4+fnBwcEBPXv2xJ133om9e/ca1YSGhkKlUhk9Zs2a1YxRICIioo7I4nC0efNmxMTEYPny5cjNzUVISAgmT56MgoICs/X5+fmYMmUKQkJCkJubi6eeegoLFy5ESkqKviY7OxuRkZGIiorCwYMHERUVhZkzZxoFm6bsd/DgwfjXv/6FQ4cO4ZtvvoGPjw/CwsLw66+/GvVp3rx5KC4u1j/eeustS4eBiIiIOiiLJ4EcPXo0AgMDsWbNGn3b0KFDMX36dMTFxZnUL126FB999BGOHj2qb1uwYAEOHjyI7OxsAEBkZCQqKirw2Wef6WsmTZqEnj17YtOmTc3aL3BlwqcvvvgCd9xxBwDlyNHIkSORkJBgycc22WZLTwJJREREN44l398WHTmqrq5GTk4OwsLCjNrDwsKwe/dus+/Jzs42qZ84cSL27duHmpqaRmvqt9mc/VZXV+Ptt9+Gk5MTRowYYfTaxo0b4ezsjGHDhuGJJ57AhQsXGvzMVVVVqKioMHoQERFRx2XRDNllZWXQ6XRwcXExandxcUFJSYnZ95SUlJitr62tRVlZGdzc3Bqsqd+mJfvdvn07Zs2ahcrKSri5uSEtLQ3Ozs7612fPng1fX1+4urri8OHDWLZsGQ4ePIi0tDSz/Y+Li8OKFStM2hmSiIiI2o/67+2mnDBr1vIhV68gLyImbdeqv7q9KdtsSs2ECRNw4MABlJWVYd26dfprl/r27QtAud6oXkBAAAYNGoTg4GDs378fgYGBJn1ftmwZHn/8cf3zoqIi+Pv7w8vLq8HPS0RERG3ThQsX4OTk1GiNReHI2dkZarXa5GhNaWmpyVGdeq6urmbrbWxs0Lt370Zr6rdpyX4dHBwwcOBADBw4EGPGjMGgQYOQmJiIZcuWme1fYGAgNBoNjh07ZjYc2drawtbWVv+8W7duKCwsRPfu3RsNhO1RRUUFvLy8UFhYyOuprhPHsmVxPFsWx7NlcTxb1o0aTxHBhQsX4O7ufs1ai8KRVqtFUFAQ0tLSMGPGDH17Wloa7rnnHrPvGTt2LD7++GOjtp07dyI4OBgajUZfk5aWhkWLFhnVjBs3rtn7rSciqKqqavD1I0eOoKamBm5ubo1up16XLl3g6enZpNr2ytHRkX/AWwjHsmVxPFsWx7NlcTxb1o0Yz2sdMdITCyUlJYlGo5HExETJy8uTmJgYcXBwkFOnTomISGxsrERFRenrT548Kfb29rJo0SLJy8uTxMRE0Wg0kpycrK/ZtWuXqNVqiY+Pl6NHj0p8fLzY2NjInj17mrzfixcvyrJlyyQ7O1tOnTolOTk58pe//EVsbW3l8OHDIiJy/PhxWbFihXz33XeSn58vn3zyifj5+cmoUaOktrbW0qHocMrLywWAlJeXW7sr7R7HsmVxPFsWx7NlcTxbVlsYT4vDkYjIqlWrxNvbW7RarQQGBkpmZqb+tblz58r48eON6jMyMmTUqFGi1WrFx8dH1qxZY7LNLVu2yJAhQ0Sj0Yifn5+kpKRYtN9Lly7JjBkzxN3dXbRarbi5ucm0adPk22+/1dcUFBTIbbfdJr169RKtVisDBgyQhQsXytmzZ5szDB1OW/iF7Cg4li2L49myOJ4ti+PZstrCeFo8zxF1XFVVVYiLi8OyZcuMrrMiy3EsWxbHs2VxPFsWx7NltYXxZDgiIiIiMsCFZ4mIiIgMMBwRERERGWA4IiIiIjLAcERERERkgOGoA4uLi8PNN9+M7t27o2/fvpg+fTp+/PFHoxoRwXPPPQd3d3d07doVoaGhOHLkiFFNVVUVHnvsMTg7O8PBwQHTpk3DmTNnWvOjtElxcXFQqVSIiYnRt3E8LVNUVIQHH3wQvXv3hr29PUaOHImcnBz96xzPpqutrcXTTz8NX19fdO3aFf3798fzzz+Puro6fQ3Hs2Fff/017r77bri7u0OlUmHbtm1Gr7fU2J07dw5RUVFwcnKCk5MToqKicP78+Rv86VpXY2NZU1ODpUuXYvjw4XBwcIC7uzvmzJmDn3/+2WgbVh9Lq00iQDfcxIkTZf369XL48GE5cOCA3HXXXdKvXz+5ePGiviY+Pl66d+8uKSkpcujQIYmMjBQ3NzepqKjQ1yxYsEA8PDwkLS1N9u/fLxMmTJARI0Z06okzv/32W/Hx8ZGbbrpJoqOj9e0cz6b77bffxNvbWx566CHZu3ev5OfnyxdffCHHjx/X13A8m+4f//iH9O7dW7Zv3y75+fmyZcsW6datmyQkJOhrOJ4N+/TTT2X58uWSkpIiAGTr1q1Gr7fU2E2aNEkCAgJk9+7dsnv3bgkICJCpU6e21sdsFY2N5fnz5+XOO++UzZs3yw8//CDZ2dkyevRoCQoKMtqGtceS4agTKS0tFQD6yTPr6urE1dVV4uPj9TWXL18WJycnWbt2rYgov8gajUaSkpL0NUVFRdKlSxfZsWNH636ANuLChQsyaNAgSUtLk/Hjx+vDEcfTMkuXLpVbb721wdc5npa566675M9//rNRW3h4uDz44IMiwvG0xNVf6C01dnl5eQLAaPWH7OxsASA//PDDDf5U1mEuaF7t22+/FQBy+vRpEWkbY8nTap1IeXk5AKBXr14AgPz8fJSUlCAsLExfY2tri/Hjx2P37t0AgJycHNTU1BjVuLu7IyAgQF/T2fzf//0f7rrrLtx5551G7RxPy3z00UcIDg7Gfffdh759+2LUqFFYt26d/nWOp2VuvfVWfPnll/jpp58AAAcPHsQ333yDKVOmAOB4Xo+WGrvs7Gw4OTlh9OjR+poxY8bAycmpU49veXk5VCoVevToAaBtjKVFC89S+yUiePzxx3HrrbciICAAAFBSUgIAcHFxMap1cXHB6dOn9TVarRY9e/Y0qal/f2eSlJSE/fv347vvvjN5jeNpmZMnT2LNmjV4/PHH8dRTT+Hbb7/FwoULYWtrizlz5nA8LbR06VKUl5fDz88ParUaOp0OL774Iu6//34A/P28Hi01diUlJejbt6/J9vv27dtpx/fy5cuIjY3FAw88oF9kti2MJcNRJ/Hoo4/i+++/xzfffGPymkqlMnouIiZtV2tKTUdTWFiI6Oho7Ny5E3Z2dg3WcTybpq6uDsHBwXjppZcAAKNGjcKRI0ewZs0azJkzR1/H8WyazZs344MPPsCHH36IYcOG4cCBA4iJiYG7uzvmzp2rr+N4Nl9LjJ25+s46vjU1NZg1axbq6uqwevXqa9a35ljytFon8Nhjj+Gjjz5Ceno6PD099e2urq4AYJKyS0tL9f9CcnV1RXV1Nc6dO9dgTWeRk5OD0tJSBAUFwcbGBjY2NsjMzMQbb7wBGxsb/XhwPJvGzc0N/v7+Rm1Dhw5FQUEBAP5+WurJJ59EbGwsZs2aheHDhyMqKgqLFi1CXFwcAI7n9WipsXN1dcUvv/xisv1ff/21041vTU0NZs6cifz8fKSlpemPGgFtYywZjjowEcGjjz6K1NRUfPXVV/D19TV63dfXF66urkhLS9O3VVdXIzMzE+PGjQMABAUFQaPRGNUUFxfj8OHD+prO4o477sChQ4dw4MAB/SM4OBizZ8/GgQMH0L9/f46nBf7whz+YTC3x008/wdvbGwB/Py1VWVmJLl2M/0pXq9X6W/k5ns3XUmM3duxYlJeX49tvv9XX7N27F+Xl5Z1qfOuD0bFjx/DFF1+gd+/eRq+3ibG87ku6qc165JFHxMnJSTIyMqS4uFj/qKys1NfEx8eLk5OTpKamyqFDh+T+++83e3uqp6enfPHFF7J//365/fbbO8WtvU1heLeaCMfTEt9++63Y2NjIiy++KMeOHZONGzeKvb29fPDBB/oajmfTzZ07Vzw8PPS38qempoqzs7MsWbJEX8PxbNiFCxckNzdXcnNzBYD885//lNzcXP0dVC01dpMmTZKbbrpJsrOzJTs7W4YPH97hbuVvbCxrampk2rRp4unpKQcOHDD6bqqqqtJvw9pjyXDUgQEw+1i/fr2+pq6uTp599llxdXUVW1tbue222+TQoUNG27l06ZI8+uij0qtXL+natatMnTpVCgoKWvnTtE1XhyOOp2U+/vhjCQgIEFtbW/Hz85O3337b6HWOZ9NVVFRIdHS09OvXT+zs7KR///6yfPlyoy8cjmfD0tPTzf59OXfuXBFpubE7e/aszJ49W7p37y7du3eX2bNny7lz51rpU7aOxsYyPz+/we+m9PR0/TasPZYqEZHrP/5ERERE1DHwmiMiIiIiAwxHRERERAYYjoiIiIgMMBwRERERGWA4IiIiIjLAcERERERkgOGIiIiIyADDEREREZEBhiMiIiIiAwxHRERERAYYjoiIiIgMMBwRERERGfj/dSfQ24nmiZAAAAAASUVORK5CYII=" + ] }, - "metadata": {}, - "output_type": "display_data", "jetTransient": { "display_id": null - } + }, + "metadata": {}, + "output_type": "display_data" } ], - "execution_count": 16 + "source": [ + "#Estimate diameter law of crown root\n", + "cr_data = 'CR_diameters.csv'\n", + "cr = pd.read_csv(cr_data, sep=';')\n", + "cr_diameter_law = law.diameter_law(cr,function=func, segment_length = 1e-4, plot= True)" + ] }, { "cell_type": "code", + "execution_count": 17, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:12.636778Z", "start_time": "2025-09-12T14:14:12.546751Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, - "source": [ - "#Estimate diameter law of lateral root\n", - "lr_data = 'LR_diameters.csv'\n", - "ij = pd.read_csv(lr_data, sep=';')\n", - "lr_diameter_law = law.diameter_law(ij,function=func, segment_length = 1e-4, plot= True)" - ], "outputs": [ { "data": { + "image/png": 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", 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" + ] }, - "metadata": {}, - "output_type": "display_data", "jetTransient": { "display_id": null - } + }, + "metadata": {}, + "output_type": "display_data" } ], - "execution_count": 17 + "source": [ + "#Estimate diameter law of lateral root\n", + "lr_data = 'LR_diameters.csv'\n", + "ij = pd.read_csv(lr_data, sep=';')\n", + "lr_diameter_law = law.diameter_law(ij,function=func, segment_length = 1e-4, plot= True)" + ] }, { "cell_type": "markdown", @@ -468,44 +468,38 @@ }, { "cell_type": "code", + "execution_count": 18, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:14.649142Z", "start_time": "2025-09-12T14:14:14.478819Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "g= radius.compute_length(g)\n", "g = law.compute_radius_from_laws(g,seminal_RootDiameter_law = sr_diameter_law,\n", " crown_RootDiameter_law = cr_diameter_law,\n", " lr_RootDiameter_law = lr_diameter_law)" - ], - "outputs": [], - "execution_count": 18 + ] }, { "cell_type": "code", + "execution_count": 19, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:15.524958Z", "start_time": "2025-09-12T14:14:15.500680Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, - "source": [ - "g, surface = radius.compute_surface(g)\n", - "g, volume = radius.compute_volume(g)\n", - "\n", - "print('Surface : ', surface)\n", - "print('Volume : ', volume)" - ], "outputs": [ { "name": "stdout", @@ -516,7 +510,13 @@ ] } ], - "execution_count": 19 + "source": [ + "g, surface = radius.compute_surface(g)\n", + "g, volume = radius.compute_volume(g)\n", + "\n", + "print('Surface : ', surface)\n", + "print('Volume : ', volume)" + ] }, { "cell_type": "markdown", @@ -528,22 +528,22 @@ }, { "cell_type": "code", + "execution_count": 20, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:12:16.290915Z", "start_time": "2025-09-12T14:12:15.798336Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "#display_millet.plot_mtg(g,save_image = False,static = True)\n", "plot(g, prop_cmap = 'radius')" - ], - "outputs": [], - "execution_count": 20 + ] }, { "cell_type": "markdown", @@ -562,16 +562,18 @@ }, { "cell_type": "code", + "execution_count": 20, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:23.856465Z", "start_time": "2025-09-12T14:14:23.851070Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "length_data = [0., 0.03, 0.05, 0.7], [0., 0., 0.01, 0.13]\n", "radial_conductivity_data = (\n", @@ -588,9 +590,7 @@ "Jv = 0.1\n", "psi_e = 0.4\n", "psi_base = 0.1\n" - ], - "outputs": [], - "execution_count": 20 + ] }, { "cell_type": "markdown", @@ -601,16 +601,18 @@ }, { "cell_type": "code", + "execution_count": 21, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:14:26.493390Z", "start_time": "2025-09-12T14:14:26.122257Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "#Computation of g, surface, volume, Keq, Jv_global \n", "\n", @@ -627,9 +629,7 @@ " axial_conductivity_data=None,\n", " radial_conductivity_data=radial_conductivity_data\n", " )\n" - ], - "outputs": [], - "execution_count": 21 + ] }, { "cell_type": "markdown", @@ -641,22 +641,22 @@ }, { "cell_type": "code", + "execution_count": 32, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T14:17:52.779528Z", "start_time": "2025-09-12T14:17:52.190629Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ " display_millet.plot_property(g,static=True, t_fixed=21, prop_cmap='j', lognorm = True)\n", " # plot(g, prop_cmap='j', lognorm = True)" - ], - "outputs": [], - "execution_count": 32 + ] }, { "cell_type": "markdown", @@ -675,16 +675,18 @@ }, { "cell_type": "code", + "execution_count": 28, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T13:48:58.949222Z", "start_time": "2025-09-12T13:48:58.909901Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "\n", "soil_potential = (\n", @@ -694,9 +696,7 @@ "x, y = soil_potential\n", "\n", "g = law.add_soil(g, soil_potential)" - ], - "outputs": [], - "execution_count": 28 + ] }, { "cell_type": "markdown", @@ -707,16 +707,18 @@ }, { "cell_type": "code", + "execution_count": 29, "metadata": { - "collapsed": false, - "jupyter": { - "outputs_hidden": false - }, "ExecuteTime": { "end_time": "2025-09-12T13:49:02.355198Z", "start_time": "2025-09-12T13:49:01.815098Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false } }, + "outputs": [], "source": [ "g, surface, volume, Keq, Jv_global = water.hydrolic(\n", " g,\n", @@ -731,23 +733,21 @@ " axial_conductivity_data=None,\n", " radial_conductivity_data=radial_conductivity_data\n", " )\n" - ], - "outputs": [], - "execution_count": 29 + ] }, { "cell_type": "code", + "execution_count": 30, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T13:49:04.562898Z", "start_time": "2025-09-12T13:49:03.546473Z" } }, + "outputs": [], "source": [ "plot(g, prop_cmap='j', lognorm = True)" - ], - "outputs": [], - "execution_count": 30 + ] }, { "cell_type": "code", @@ -773,7 +773,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.5" + "version": "3.13.12" }, "widgets": { "application/vnd.jupyter.widget-state+json": { diff --git a/src/openalea/hydroroot/millet/Simulating_archicture.ipynb b/src/openalea/hydroroot/millet/Simulating_archicture.ipynb deleted file mode 100644 index 88c4e747..00000000 --- a/src/openalea/hydroroot/millet/Simulating_archicture.ipynb +++ /dev/null @@ -1,242 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "2e095779-4a3f-4330-a131-d5fac2b265f5", - "metadata": {}, - "source": [ - "## Load packages" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "27a65c43-8622-4ff8-a641-b2afe382d303", - "metadata": {}, - "outputs": [], - "source": [ - "import openalea.mtg as mtg\n", - "from openalea.hydroroot.main import root_builder\n", - "from openalea.hydroroot.radius import compute_length, compute_relative_position" - ] - }, - { - "cell_type": "markdown", - "id": "c7c58eb3-8e5c-40fe-8149-786209324327", - "metadata": {}, - "source": [ - "# Build architectures for 57 and 109 lines" - ] - }, - { - "cell_type": "markdown", - "id": "6fef8c24-8666-48c9-b93c-7bfa8d0783d9", - "metadata": {}, - "source": [ - "| Lignée | No. de plantes | Longueur racine séminale (cm) Moyenne (e.t) | No. de racines coronaires Moyenne (e.t) | No. de racines latérales Moyenne (e.t) |\n", - "|-------|----------------|----------------------------------------------|-----------------------------------------|----------------------------------------|\n", - "| 57 | 46 | 10.3 (6.4) | 0.17 (0.68) | 3.1 (3.9) |\n", - "| 109 | 76 | 20.2 (8.6) | 0.54 (1.1) | 14.1 (14.3) |\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "937c0dcd-dc5c-4e6f-b001-0de89a5514e9", - "metadata": {}, - "outputs": [], - "source": [ - "import architecture\n", - "from architecture import millet_mtg2\n", - "import importlib\n", - "importlib.reload(architecture)\n", - "\n", - "g57 = millet_mtg2(\n", - " seed=1,\n", - " primary_length=0.103,\n", - " nude_tip_length=0.03,\n", - " nb_crown=1,\n", - " n_laterals_primary=3, # explicit count\n", - " lateral_length=0.02,\n", - " segment_length=1e-3, \n", - ")\n", - "g109 = millet_mtg2(\n", - " seed=1,\n", - " primary_length=0.202,\n", - " nude_tip_length=0.03,\n", - " nb_crown=4,\n", - " n_laterals_primary=10, # explicit count\n", - " lateral_length=0.05,\n", - " segment_length=1e-3, \n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "0a0912ce-fafd-4e40-83d6-4e31837419d6", - "metadata": {}, - "source": [ - "## Compute length and position" - ] - }, - { - "cell_type": "markdown", - "id": "873b51aa-7d08-4888-9dea-b136342e5fef", - "metadata": {}, - "source": [ - "* **57**" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "4acc9050-4c07-4254-aa1d-e99860243994", - "metadata": {}, - "outputs": [], - "source": [ - "g57 = compute_length(g57)\n", - "g57 = compute_relative_position(g57)" - ] - }, - { - "cell_type": "markdown", - "id": "d55a647f-ff0e-439c-a207-87f2e9be5519", - "metadata": {}, - "source": [ - "* **109**" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "166b5c05-80d0-4350-898f-2437c439adc7", - "metadata": {}, - "outputs": [], - "source": [ - "g109 = compute_length(g109)\n", - "g109 = compute_relative_position(g109)" - ] - }, - { - "cell_type": "markdown", - "id": "7d196eb2-3123-4122-b853-cc0676e18d19", - "metadata": {}, - "source": [ - "## Visualizing architectures" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "873d6970-5877-4148-9513-0e021b0fbe54", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from openalea.plantgl.algo.view import view # 2D view\n", - "from openalea.hydroroot.display import mtg_scene\n", - "import turtle_millet\n", - "importlib.reload(turtle_millet)" - ] - }, - { - "cell_type": "markdown", - "id": "08c19c5e-b830-4330-80b4-50b9829ff8f6", - "metadata": {}, - "source": [ - "* 57" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "a86e39eb-51fd-4d5b-8073-2d1e81484457", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "s = mtg_scene(g57,prop_cmap='order', visitor=turtle_millet.visitor2) \n", - "view(s) # use PlantGL(s) to display in 3D" - ] - }, - { - "cell_type": "markdown", - "id": "cfdc8748-e7b6-4a2d-a185-6e510d8d1c1e", - "metadata": {}, - "source": [ - "* **109**" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "43d254d4-ce11-4643-9ccf-4f8469a91696", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "s = mtg_scene(g109,prop_cmap='order', visitor=turtle_millet.visitor2) \n", - "view(s) # use PlantGL(s) to display in 3D" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3edb203c-1e3a-4b4e-a026-dbd045cd9cf3", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.13.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/src/openalea/hydroroot/millet/conductance.py b/src/openalea/hydroroot/millet/conductance.py index 9ff60ba0..e0dbf35e 100644 --- a/src/openalea/hydroroot/millet/conductance.py +++ b/src/openalea/hydroroot/millet/conductance.py @@ -16,7 +16,7 @@ def fit_property_from_spline(g, spline, prop_in, prop_out): #spline = UnivariateSpline(x, y, s=s) keys = g.property(prop_in).keys() - x_values = np.array(g.property(prop_in).values()) + x_values = np.array(list(g.property(prop_in).values())) # g.property(prop_in).values() return a dict_values object, need to be converted a list first y_values = spline(x_values) @@ -24,3 +24,57 @@ def fit_property_from_spline(g, spline, prop_in, prop_out): return g +def compute_K_from_laws(g, seminal_law=None,crown_law=None, lateral_law=None,): + """ + + Compute axial hydraulic conductance (K) for each MTG vertex from + user-defined laws as a function of the vertex position along the axis. + + + Parameters + ---------- + g : MTG + Multi-scale Tree Graph containing root architecture. + + seminal_law : callable, optional + Function f(x) -> K defining axial conductance for seminal roots + + crown_law : callable, optional + Function f(x) -> K defining axial conductance for crown roots. + + lateral_law : callable, optional + Function f(x) -> K defining axial conductance for lateral roots + + Returns + ------- + g : MTG + The input MTG with a new vertex property 'K' added. + + """ + K={} + + positions= g.property('relative_position') + orders = g.property('order') + + for vid in g.vertices_iter(g.max_scale()): + label = g.label(vid) + pos = positions[vid] + if label == "Crown": + K_val = crown_law(pos) + + elif label == "Seminal": + K_val = seminal_law(pos) + + elif label == "Lateral": + K_val = lateral_law(pos) + + else: + # fallback (e.g., collet or unknown types) + K_val = seminal_law(pos) + + K[vid] = K_val + + # Store property in the MTG + g.properties()['K'] = K + + return g diff --git a/src/openalea/hydroroot/millet/law.py b/src/openalea/hydroroot/millet/law.py index 779a2006..a2497c47 100644 --- a/src/openalea/hydroroot/millet/law.py +++ b/src/openalea/hydroroot/millet/law.py @@ -154,6 +154,36 @@ def f(k,fn = function): law = f return law +def diameter_law2(data_xy, function=None, plot= True): + + """this function checks the the best paramters of the fonction that fit the data""" + + x,y = read_data(data_xy, scale_x=1e-2, scale_y=1e-6) + #convert to float + x = np.asarray(x, dtype=float) + y = np.asarray(y, dtype=float) + + # Normalize x to have a relative position + #x = list(np.array(x)/np.max(np.array(x))) + x = x / np.max(x) + #The popt argument are the best-fit paramters for a and b + popt, pcov = curve_fit(function, x, y) + #Simulate y-data using best-fit parameters + yy= function(x,*popt) + + + if plot: + pylab.plot(x,y,'ko', label="Original Data") + pylab.plot(x, yy, 'r-', label="Fitted Curve") + pylab.legend() + + def f(k,fn = function): + return fn(k,*popt) + + law = f + return law + + def compute_radius_from_laws(g, seminal_RootDiameter_law=None, @@ -188,12 +218,62 @@ def compute_radius_from_laws(g, # ************** Here we define evolution diameter laws of different root types************************ + +def compute_diameter_from_laws(g, + seminal_RootDiameter_law=None, + crown_RootDiameter_law=None, + lr_RootDiameter_law=None + ): + """ + calculate and add diameter as a propoerty to the MTG + + :params: + - g: MTG + - seminal_RootDiameter_law: law of seminal root diameter + - crown_RootDiameter_law: law of crown root diameter + - lateral_RootDiameter_law: law of lateral root diameter + + :returns: + g: MTg with diameter property + """ + + diameters = {} + order= g.property('order') + positions = g.property('relative_position') + for vid in g.vertices_iter(g.max_scale()): + # collet or Seminal + if order[vid] == 0: + diameters[vid] = seminal_RootDiameter_law(positions[vid]) + else: + if g.label(vid)== "Crown": + diameters[vid] = crown_RootDiameter_law(positions[vid]) + else: # laterals + diameters[vid] = lr_RootDiameter_law(positions[vid]) + + g.properties()['diam'] = diameters + + return g + + +def compute_radius_from_diameter(g): + """ + Calculate and add radius to MTG as a property from diameter values + """ + radius = {} + diameters= g.property('diam') + for i,d in diameters.items(): + radius[i] = d/2. + g.properties()['radius'] = radius + + return g + def compute_diameter(g, seminal_RootDiameter_law=None, crown_RootDiameter_law=None, lr_RootDiameter_law=None, segment_length = 1e-4): + diameters = {} order= g.property('order') g = radius.compute_length(g, segment_length) @@ -235,6 +315,8 @@ def radius_from_computed_diameters(g): return g + + ############################################################################### def age_law(data_xy, segment_length = 1e-4,scale_x =1, scale_y = 1.e-2, plot= True): @@ -314,6 +396,82 @@ def developmental_age(g, nude_tip_length=15): return g + + def developmental_age2(g, nude_tip_length=0.0206): + """ Compute the developmental age of each vertex. + + A new property is added to the MTG that represent the age of apparition of the segment. + It allows to express a dynamic as a parametrisation. + """ + age = {} + # convert nude_tip_length to nb of vertices: for a 75cm root, the length of nude tip is 15cm + nude_tip_length = (nude_tip_length * 0.15) / 0.75 + + #-------------------------------------- + # Seminal + #-------------------------------------- + is_primary = lambda v: g.label(v) == 'Seminal' or g.label(v)=='collet' + + for v in post_order2(g, 1, pre_order_filter=is_primary): + if g.is_leaf(v): + age[v] = 0 + else: + age[v] = max(age.get(cid,0) for cid in g.children(v))+1 + + age_max = age[1] + + k, v = np.array(list(age.keys())), np.array(list(age.values())) + v = age_max - v + + age = dict(zip(list(k), list(v))) + + delta = nude_tip_length + + for v in pre_order2_with_filter(g, 1, pre_order_filter=is_primary): + pid = g.parent(v) + if g.edge_type(v) =='+': + age_p, age_v = age[pid], age[v] + if age_p +delta < age_v: + age[v] = age_p + delta # replace by a stat distribution rather than min + elif pid is not None: + age[v] = age[pid] + 1 + + #--------------------------------------------------------------- + # Crown: they appear 6 days after germination from the root base + #--------------------------------------------------------------- + + delta_crown_age = 6 + + root_crowns = [v for v in g if g.label(v) == 'Crown' and g.label(v) != g.label(g.parent(v))] + + speed = 1. + for v in root_crowns: + date = delta_crown_age + for cid in axis(g, v): + age[cid] = date + date += speed + + + #-------------------------------------------------------------------- + # Lateral: they appear 6 days after germination from the primary root + #-------------------------------------------------------------------- + + delta_crown_age = 6 + + root_laterals = [v for v in g if g.label(v) == 'Lateral' and g.label(v) != g.label(g.parent(v))] + + speed = 1. + for v in root_laterals: + date = delta_crown_age + for cid in axis(g, v): + age[cid] = date + date += speed + + + + # Store the property in the MTG + g.properties()['age'] = age + return g ########################################################################################################### diff --git a/src/openalea/hydroroot/millet/turtle.py b/src/openalea/hydroroot/millet/turtle.py new file mode 100644 index 00000000..1668cece --- /dev/null +++ b/src/openalea/hydroroot/millet/turtle.py @@ -0,0 +1,256 @@ +from openalea.mtg.mtg import * +from openalea.mtg.io import * +from openalea.mtg.traversal import * +from openalea.mtg.turtle import * +from openalea.mtg.plantframe import* +from openalea.mtg.plantframe.color import * +from openalea.plantgl import * + + +from openalea.hydroroot.millet import architecture +import random +import numpy as np + +from collections import defaultdict + + + +############################################################ +# TODO : Move this code to mtg (CPL) + + +LR_root_angle= defaultdict(lambda: random.normalvariate(53.52674,15.14071)) #we store the lateral root angles in a default dictionary +#average_CR_angle= 20.03194444 +average_CR_angle= 30.03194444 +segment_length = 1e-4 + +tort = defaultdict(lambda: random.randint(-1,1)) +########################################################### + +#---------------------------------------------------------------------- +# Visitor function used for the new implementation of the architecture +#---------------------------------------------------------------------- + +def visitor2(g, v, turtle): + n = g.node(v) + + # --- Safe geometry default variables (meters) + length_m = getattr(n, "length", segment_length) # meters + radius = getattr(n, "radius", None) + + if radius is None: + order = getattr(n, "order", 0) + radius = max(0.02, 0.12 / (order + 1)) + + length = float(length_m) * 1e3 # keep your convention (m -> mm) + width = float(radius) * 1e3 + + label = getattr(n, "label", "") + order = getattr(n, "order", 0) + + # --------------------------------------------------------- + # COLLET: pivot only + # --------------------------------------------------------- + if label == "collet": + turtle.setId(v) + turtle.setWidth(width) + turtle.setColor(0) + turtle.rollL(90.0) # set reference frame for roots + n.xyz = turtle.getPosition() + return + + # --------------------------------------------------------- + # Branching angles for '+' edges + # --------------------------------------------------------- + if g.edge_type(v) == '+': + if label == "Crown": + turtle.down(average_CR_angle) + else: + # deterministic without global seeding + rng = random.Random(v) + turtle.down(rng.normalvariate(53.52674, 15.14071)) + + # --------------------------------------------------------- + # Tortuosity / curvature (small turns) + # --------------------------------------------------------- + rng = random.Random(v) + if label == "Crown": + turtle.down(tort[v]) + elif label in ("Seminal", "Lateral"): + turtle.down(rng.random()) + + # --------------------------------------------------------- + # Render + # --------------------------------------------------------- + turtle.setId(v) + if label=="Lateral": + turtle.setWidth(width/2) + else: + turtle.setWidth(width) + + # Color by type + if label == "Seminal": + turtle.setColor(1) + elif label == "Lateral": + turtle.setColor(2) + elif label == "Crown": + turtle.setColor(3) + else: + turtle.setColor(order + 1) + + turtle.rollL() + turtle.F(length) + n.xyz = turtle.getPosition() + + + + +def mtg_turtle_time(g, time, update_visitor=None, time_property='age' ): + ''' Compute the geometry on each node of the MTG using Turtle geometry. + + Update_visitor is a function called on each node in a pre order (parent before children). + This function allow to update the parameters and state variables of the vertices. + + :Example: + + >>> def grow(node, time): + + ''' + + g.properties()['geometry'] = {} + orders = g.property('order') + radius = g.property('radius') + max_scale = g.max_scale() + + start_dates = g.property(time_property) + + #seminal = g.Trunk(g.root, Scale=1) + + # + #lats= [g.Descendants(g.Successor(v)) for v in g if g.edge_type(v)=='+' and n.label !='Crown'] + + def visitor(g, v, turtle,time): + + n = g.node(v) + radius = n.radius * 1.e1 + length = n.length * 1.e3 + #LR_root_angle=30 + if g.edge_type(v) == '+': #For crown root angles, the size is weak, so we use a mean to estimate their branching + if n.label=='Crown': + turtle.down(average_CR_angle) + + + + else: #We use here a normal law to simulate the LR angle values seeing that they follow a Gaussian distribution + random.seed(v) + turtle.down(LR_root_angle[v]) + + #use rather curves to define crown roots tortuosity + # if n.label=='Crown': + # random.seed(v) + # turtle.down(tort[v]) + + + # if n.label == 'Seminal': + # #Define SR tortuosity + # if n.order == 0: + # random.seed(v) + # turtle.down(random.random()) + + # # #Define LR tortuosity + # else: + # random.seed(v) + # turtle.down(random.random()) + + if n.label == 'collet': + turtle.rollL(90.) + + turtle.setId(v) + turtle.setWidth(radius) + #for c in n.children(): + #if c.edge_type() == '+': + #turtle.rollL(130) + turtle.setColor(n.order+1) + if n.label=='Crown': + turtle.setColor(n.order+2) + turtle.rollL() + turtle.F(length) + pt = turtle.getPosition() + n.xyz = pt + + def traverse_with_turtle_time(g, vid, time, visitor=visitor): + turtle = PglTurtle() + turtle.down(180) + def push_turtle(v): + try: + start_tt = start_dates.get(v, time+1) + if start_tt > time: + return False + except: + pass + if g.edge_type(v) == '+': + turtle.push() + turtle.setId(v) + return True + + def pop_turtle(v): + try: + start_tt = start_dates.get(v, time+1) + if start_tt > time: + return False + except: + pass + if g.edge_type(v) == '+': + turtle.pop() + + if start_dates[vid] <= time: + visitor(g,vid,turtle,time) + #turtle.push() + plant_id = g.complex_at_scale(vid, scale=1) + for v in pre_order2_with_filter(g, vid, None, push_turtle, pop_turtle): + if v == vid: continue + # Done for the leaves + if start_dates.get(v,time+1) > time: + print('Do not consider ', v, time) + continue + visitor(g,v,turtle,time) + + scene = turtle.getScene() + return scene, g + + for plant_id in g.component_roots_at_scale_iter(g.root, scale=max_scale): + scene, g = traverse_with_turtle_time(g, plant_id, time) + return g, scene + + +def Plot(scene): + Viewer.display(scene) + +def compute_angle(g): + pass + +############################################################# + + +def test(save_image= False, dir='C:/Users/ndour/Desktop/mon dossier/my_Ph.D/Plant_images_BD/Film_MTG'): + from openalea.hydroroot.millet import architecture + g = architecture.millet_mtg(nb_vertices=200) + g = architecture.developmental_age(g,15) + compute_angle(g) + + ages = g.property('age') + age_max = max(ages.values()) + + #for t in range(1, age_max, 1): + for t in list(np.linspace(1,age_max,100)): + g, scene = mtg_turtle_time(g,t) + Plot(scene) + if save_image==True: + Viewer.saveSnapshot(dir+'/millet_%04d.png'%t) + # sous ipython + # %gui qt + + +#-------Display of the MTG +#test(save_image=False) + diff --git a/src/openalea/hydroroot/read_file.py b/src/openalea/hydroroot/read_file.py index 631ab07f..26e06b64 100644 --- a/src/openalea/hydroroot/read_file.py +++ b/src/openalea/hydroroot/read_file.py @@ -1,14 +1,14 @@ import numpy as np import pandas as pd -def readCSVFile(filename): +def readCSVFile(filename, delimiter=";"): """Read and extract data from a csv file, supposed that the data is stored in 2 columns. :param filename: string :returns: - data (array) - record array of (x, y) values, column headers recorded in dtype """ - data = np.genfromtxt(filename,delimiter=';',names=True) + data = np.genfromtxt(filename,delimiter=delimiter,names=True) return data def read_archi_data(fn): From 2972b846c21c191f50c1e18260606d13fdcf71e7 Mon Sep 17 00:00:00 2001 From: NDOUR Date: Thu, 19 Feb 2026 22:22:34 +0300 Subject: [PATCH 09/12] updating architecture simulation and calculation of hydraulic architecture --- .../millet/Simulating_archicture.ipynb | 21 -- .../hydroroot/millet/turtle_millet.py | 256 ------------------ 2 files changed, 277 deletions(-) delete mode 100644 src/openalea/hydroroot/millet/turtle_millet.py diff --git a/doc/example/millet/Simulating_archicture.ipynb b/doc/example/millet/Simulating_archicture.ipynb index b0527107..05c73275 100644 --- a/doc/example/millet/Simulating_archicture.ipynb +++ b/doc/example/millet/Simulating_archicture.ipynb @@ -873,27 +873,6 @@ "from openalea.hydroroot.display import property_scale_bar" ] }, - { - "cell_type": "code", - "execution_count": 142, - "id": "89b12044-02fb-4072-ad12-bb131833485e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "property_scale_bar(g109, property_name='j')" - ] - }, { "cell_type": "code", "execution_count": null, diff --git a/src/openalea/hydroroot/millet/turtle_millet.py b/src/openalea/hydroroot/millet/turtle_millet.py deleted file mode 100644 index 1668cece..00000000 --- a/src/openalea/hydroroot/millet/turtle_millet.py +++ /dev/null @@ -1,256 +0,0 @@ -from openalea.mtg.mtg import * -from openalea.mtg.io import * -from openalea.mtg.traversal import * -from openalea.mtg.turtle import * -from openalea.mtg.plantframe import* -from openalea.mtg.plantframe.color import * -from openalea.plantgl import * - - -from openalea.hydroroot.millet import architecture -import random -import numpy as np - -from collections import defaultdict - - - -############################################################ -# TODO : Move this code to mtg (CPL) - - -LR_root_angle= defaultdict(lambda: random.normalvariate(53.52674,15.14071)) #we store the lateral root angles in a default dictionary -#average_CR_angle= 20.03194444 -average_CR_angle= 30.03194444 -segment_length = 1e-4 - -tort = defaultdict(lambda: random.randint(-1,1)) -########################################################### - -#---------------------------------------------------------------------- -# Visitor function used for the new implementation of the architecture -#---------------------------------------------------------------------- - -def visitor2(g, v, turtle): - n = g.node(v) - - # --- Safe geometry default variables (meters) - length_m = getattr(n, "length", segment_length) # meters - radius = getattr(n, "radius", None) - - if radius is None: - order = getattr(n, "order", 0) - radius = max(0.02, 0.12 / (order + 1)) - - length = float(length_m) * 1e3 # keep your convention (m -> mm) - width = float(radius) * 1e3 - - label = getattr(n, "label", "") - order = getattr(n, "order", 0) - - # --------------------------------------------------------- - # COLLET: pivot only - # --------------------------------------------------------- - if label == "collet": - turtle.setId(v) - turtle.setWidth(width) - turtle.setColor(0) - turtle.rollL(90.0) # set reference frame for roots - n.xyz = turtle.getPosition() - return - - # --------------------------------------------------------- - # Branching angles for '+' edges - # --------------------------------------------------------- - if g.edge_type(v) == '+': - if label == "Crown": - turtle.down(average_CR_angle) - else: - # deterministic without global seeding - rng = random.Random(v) - turtle.down(rng.normalvariate(53.52674, 15.14071)) - - # --------------------------------------------------------- - # Tortuosity / curvature (small turns) - # --------------------------------------------------------- - rng = random.Random(v) - if label == "Crown": - turtle.down(tort[v]) - elif label in ("Seminal", "Lateral"): - turtle.down(rng.random()) - - # --------------------------------------------------------- - # Render - # --------------------------------------------------------- - turtle.setId(v) - if label=="Lateral": - turtle.setWidth(width/2) - else: - turtle.setWidth(width) - - # Color by type - if label == "Seminal": - turtle.setColor(1) - elif label == "Lateral": - turtle.setColor(2) - elif label == "Crown": - turtle.setColor(3) - else: - turtle.setColor(order + 1) - - turtle.rollL() - turtle.F(length) - n.xyz = turtle.getPosition() - - - - -def mtg_turtle_time(g, time, update_visitor=None, time_property='age' ): - ''' Compute the geometry on each node of the MTG using Turtle geometry. - - Update_visitor is a function called on each node in a pre order (parent before children). - This function allow to update the parameters and state variables of the vertices. - - :Example: - - >>> def grow(node, time): - - ''' - - g.properties()['geometry'] = {} - orders = g.property('order') - radius = g.property('radius') - max_scale = g.max_scale() - - start_dates = g.property(time_property) - - #seminal = g.Trunk(g.root, Scale=1) - - # - #lats= [g.Descendants(g.Successor(v)) for v in g if g.edge_type(v)=='+' and n.label !='Crown'] - - def visitor(g, v, turtle,time): - - n = g.node(v) - radius = n.radius * 1.e1 - length = n.length * 1.e3 - #LR_root_angle=30 - if g.edge_type(v) == '+': #For crown root angles, the size is weak, so we use a mean to estimate their branching - if n.label=='Crown': - turtle.down(average_CR_angle) - - - - else: #We use here a normal law to simulate the LR angle values seeing that they follow a Gaussian distribution - random.seed(v) - turtle.down(LR_root_angle[v]) - - #use rather curves to define crown roots tortuosity - # if n.label=='Crown': - # random.seed(v) - # turtle.down(tort[v]) - - - # if n.label == 'Seminal': - # #Define SR tortuosity - # if n.order == 0: - # random.seed(v) - # turtle.down(random.random()) - - # # #Define LR tortuosity - # else: - # random.seed(v) - # turtle.down(random.random()) - - if n.label == 'collet': - turtle.rollL(90.) - - turtle.setId(v) - turtle.setWidth(radius) - #for c in n.children(): - #if c.edge_type() == '+': - #turtle.rollL(130) - turtle.setColor(n.order+1) - if n.label=='Crown': - turtle.setColor(n.order+2) - turtle.rollL() - turtle.F(length) - pt = turtle.getPosition() - n.xyz = pt - - def traverse_with_turtle_time(g, vid, time, visitor=visitor): - turtle = PglTurtle() - turtle.down(180) - def push_turtle(v): - try: - start_tt = start_dates.get(v, time+1) - if start_tt > time: - return False - except: - pass - if g.edge_type(v) == '+': - turtle.push() - turtle.setId(v) - return True - - def pop_turtle(v): - try: - start_tt = start_dates.get(v, time+1) - if start_tt > time: - return False - except: - pass - if g.edge_type(v) == '+': - turtle.pop() - - if start_dates[vid] <= time: - visitor(g,vid,turtle,time) - #turtle.push() - plant_id = g.complex_at_scale(vid, scale=1) - for v in pre_order2_with_filter(g, vid, None, push_turtle, pop_turtle): - if v == vid: continue - # Done for the leaves - if start_dates.get(v,time+1) > time: - print('Do not consider ', v, time) - continue - visitor(g,v,turtle,time) - - scene = turtle.getScene() - return scene, g - - for plant_id in g.component_roots_at_scale_iter(g.root, scale=max_scale): - scene, g = traverse_with_turtle_time(g, plant_id, time) - return g, scene - - -def Plot(scene): - Viewer.display(scene) - -def compute_angle(g): - pass - -############################################################# - - -def test(save_image= False, dir='C:/Users/ndour/Desktop/mon dossier/my_Ph.D/Plant_images_BD/Film_MTG'): - from openalea.hydroroot.millet import architecture - g = architecture.millet_mtg(nb_vertices=200) - g = architecture.developmental_age(g,15) - compute_angle(g) - - ages = g.property('age') - age_max = max(ages.values()) - - #for t in range(1, age_max, 1): - for t in list(np.linspace(1,age_max,100)): - g, scene = mtg_turtle_time(g,t) - Plot(scene) - if save_image==True: - Viewer.saveSnapshot(dir+'/millet_%04d.png'%t) - # sous ipython - # %gui qt - - -#-------Display of the MTG -#test(save_image=False) - From 5f4f0460058aca9233999cfdf4840328b628b3e9 Mon Sep 17 00:00:00 2001 From: NDOUR Date: Thu, 19 Feb 2026 22:33:39 +0300 Subject: [PATCH 10/12] updating architecture simulation and calculation of hydraulic architecture --- doc/example/example_generated_archi.ipynb | 94 +- doc/example/example_parameter_class.ipynb | 2 +- doc/example/millet/.~SR_diameters.csv | 19 - .../millet/Simulating_archicture.ipynb | 906 ------------------ doc/example/millet/WIP_notebook.ipynb | 49 +- src/openalea/hydroroot/conductance.py | 2 +- .../millet/Simulating_archicture.ipynb | 267 ++++++ src/openalea/hydroroot/millet/conductance.py | 58 +- .../hydroroot/millet/display_millet.py | 2 +- src/openalea/hydroroot/millet/law.py | 158 --- .../millet/{turtle.py => turtle_millet.py} | 0 src/openalea/hydroroot/read_file.py | 4 +- 12 files changed, 334 insertions(+), 1227 deletions(-) delete mode 100644 doc/example/millet/.~SR_diameters.csv delete mode 100644 doc/example/millet/Simulating_archicture.ipynb create mode 100644 src/openalea/hydroroot/millet/Simulating_archicture.ipynb rename src/openalea/hydroroot/millet/{turtle.py => turtle_millet.py} (100%) diff --git a/doc/example/example_generated_archi.ipynb b/doc/example/example_generated_archi.ipynb index c4a1608b..d1cd1c39 100644 --- a/doc/example/example_generated_archi.ipynb +++ b/doc/example/example_generated_archi.ipynb @@ -10,21 +10,16 @@ }, "tags": [] }, - "source": [ - "# Simulated root" - ] + "source": "# Simulated root" }, { - "cell_type": "markdown", - "id": "200d11f255a25a7d", "metadata": {}, - "source": [ - "Perform a water flow simulation on a simulated root architecture." - ] + "cell_type": "markdown", + "source": "Perform a water flow simulation on a simulated root architecture.", + "id": "200d11f255a25a7d" }, { "cell_type": "code", - "execution_count": 1, "id": "60bae6a9-56d0-49d9-aa69-c066b0742d19", "metadata": { "ExecuteTime": { @@ -32,34 +27,30 @@ "start_time": "2025-10-28T13:57:13.589657Z" } }, - "outputs": [], "source": [ "import pandas \n", "from openalea.hydroroot.main import root_builder, hydroroot_flow\n", "from openalea.widgets.plantgl import PlantGL # notebook viewer 3D\n", "from openalea.plantgl.algo.view import view # 2D view\n", "from openalea.hydroroot.display import mtg_scene" - ] + ], + "outputs": [], + "execution_count": 1 }, { - "cell_type": "markdown", - "id": "5efba74fe9cb1ff1", "metadata": {}, - "source": [ - "## Architecture generation" - ] + "cell_type": "markdown", + "source": "## Architecture generation", + "id": "5efba74fe9cb1ff1" }, { "cell_type": "markdown", "id": "8a6fe0a8-b862-4e39-983f-28271db0c8ca", "metadata": {}, - "source": [ - "The Hydroroot generator of architecture is described in ([Boursiac et al., 2022](https://doi.org/10.1093/plphys/kiac281)). It uses length distribution law for laterals, specific to a given species, to generate realistic architecture. Here we use the length laws determinated for Arabidopsis Col0." - ] + "source": "The Hydroroot generator of architecture is described in ([Boursiac et al., 2022](https://doi.org/10.1093/plphys/kiac281)). It uses length distribution law for laterals, specific to a given species, to generate realistic architecture. Here we use the length laws determinated for Arabidopsis Col0." }, { "cell_type": "code", - "execution_count": 2, "id": "acaa9e31-9813-4455-8b84-96c09976ba77", "metadata": { "ExecuteTime": { @@ -67,14 +58,15 @@ "start_time": "2025-10-28T13:57:14.336211Z" } }, - "outputs": [], "source": [ "length_data = [] # length law used to generate arabidopsis realistic architecture\n", "for filename in ['data/length_LR_order1_160615.csv','data/length_LR_order2_160909.csv']:\n", " df = pandas.read_csv(filename, sep = ';', header = 1, names = ('LR_length_mm', 'relative_distance_to_tip'))\n", " df.sort_values(by = 'relative_distance_to_tip', inplace = True)\n", " length_data.append(df)" - ] + ], + "outputs": [], + "execution_count": 2 }, { "cell_type": "markdown", @@ -93,7 +85,6 @@ }, { "cell_type": "code", - "execution_count": 3, "id": "2141a9a8-76fa-45aa-a177-1a361eef4827", "metadata": { "ExecuteTime": { @@ -101,12 +92,13 @@ "start_time": "2025-10-28T13:57:14.388558Z" } }, - "outputs": [], "source": [ "g, primary_length, total_length, surface, seed = root_builder(primary_length = 0.13, delta = 2.0e-3, nude_length = 2.0e-2, segment_length = 1.0e-4,\n", " length_data = length_data, branching_variability = 0.25, order_max = 4.0, order_decrease_factor = 0.7,\n", " ref_radius = 7.0e-5)" - ] + ], + "outputs": [], + "execution_count": 3 }, { "cell_type": "markdown", @@ -120,7 +112,6 @@ }, { "cell_type": "code", - "execution_count": 4, "id": "d5be93d4-38d5-4dc6-a85c-a5c884493f6f", "metadata": { "ExecuteTime": { @@ -128,11 +119,12 @@ "start_time": "2025-10-28T13:57:14.475667Z" } }, - "outputs": [], "source": [ "k_radial_data=([0, 0.2],[30.0,30.0])\n", "K_axial_data=([0, 0.2],[3.0e-7,4.0e-4])" - ] + ], + "outputs": [], + "execution_count": 4 }, { "cell_type": "markdown", @@ -144,7 +136,6 @@ }, { "cell_type": "code", - "execution_count": 5, "id": "e6de7a98-fa43-4006-a957-783ff9a32d4d", "metadata": { "ExecuteTime": { @@ -152,14 +143,14 @@ "start_time": "2025-10-28T13:57:14.526004Z" } }, - "outputs": [], "source": [ "g, keq, jv = hydroroot_flow(g, psi_e = 0.4, psi_base = 0.1, axial_conductivity_data = K_axial_data, radial_conductivity_data = k_radial_data)" - ] + ], + "outputs": [], + "execution_count": 5 }, { "cell_type": "code", - "execution_count": 6, "id": "831c5617-0a70-496b-b130-6a35ca651869", "metadata": { "ExecuteTime": { @@ -167,6 +158,9 @@ "start_time": "2025-10-28T13:57:14.597981Z" } }, + "source": [ + "print(keq,jv)" + ], "outputs": [ { "name": "stdout", @@ -176,9 +170,7 @@ ] } ], - "source": [ - "print(keq,jv)" - ] + "execution_count": 6 }, { "cell_type": "markdown", @@ -192,38 +184,38 @@ }, { "cell_type": "code", - "execution_count": 7, "id": "f154d253-5429-4479-a32e-5fb70325f49b", "metadata": { - "ExecuteTime": { - "end_time": "2025-10-28T13:57:15.034327Z", - "start_time": "2025-10-28T13:57:14.647103Z" - }, "editable": true, "slideshow": { "slide_type": "" }, - "tags": [] + "tags": [], + "ExecuteTime": { + "end_time": "2025-10-28T13:57:15.034327Z", + "start_time": "2025-10-28T13:57:14.647103Z" + } }, + "source": [ + "s = mtg_scene(g, prop_cmap = 'j') # create a scene from the mtg with the property j is the radial flux in ul/s\n", + "view(s) # use PlantGL(s) to display in 3D" + ], "outputs": [ { "data": { - "image/png": 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", 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" }, + "metadata": {}, + "output_type": "display_data", "jetTransient": { "display_id": null - }, - "metadata": {}, - "output_type": "display_data" + } } ], - "source": [ - "s = mtg_scene(g, prop_cmap = 'j') # create a scene from the mtg with the property j is the radial flux in ul/s\n", - "view(s) # use PlantGL(s) to display in 3D" - ] + "execution_count": 7 } ], "metadata": { @@ -242,7 +234,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.12" + "version": "3.12.11" }, "widgets": { "application/vnd.jupyter.widget-state+json": { diff --git a/doc/example/example_parameter_class.ipynb b/doc/example/example_parameter_class.ipynb index 9606dd94..27a6cb2b 100644 --- a/doc/example/example_parameter_class.ipynb +++ b/doc/example/example_parameter_class.ipynb @@ -443,7 +443,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.12" + "version": "3.12.12" }, "widgets": { "application/vnd.jupyter.widget-state+json": { diff --git a/doc/example/millet/.~SR_diameters.csv b/doc/example/millet/.~SR_diameters.csv deleted file mode 100644 index 25d8131f..00000000 --- a/doc/example/millet/.~SR_diameters.csv +++ /dev/null @@ -1,19 +0,0 @@ -position(cm),root_diameter(µm) -6.846,504.0315 -27.5,507.2155 -14.686,378.7185 -26.8,615.9995 -1.271,327.473 -5.524,388.558 -9.963,465.4815 -14.631,455.2715 -14.631,455.2715 -18.87,491.699 -18.87,491.699 -18.87,491.699 -5.638,336.655 -10.556,286.85 -3.624,347.4265 -6.444,459.23975 -7.985,505.649 -29.287,540.9115 diff --git a/doc/example/millet/Simulating_archicture.ipynb b/doc/example/millet/Simulating_archicture.ipynb deleted file mode 100644 index 05c73275..00000000 --- a/doc/example/millet/Simulating_archicture.ipynb +++ /dev/null @@ -1,906 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "2e095779-4a3f-4330-a131-d5fac2b265f5", - "metadata": {}, - "source": [ - "## Load packages" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "27a65c43-8622-4ff8-a641-b2afe382d303", - "metadata": {}, - "outputs": [], - "source": [ - "import openalea.mtg as mtg\n", - "from openalea.hydroroot.main import root_builder\n", - "from openalea.hydroroot.radius import compute_length, compute_relative_position" - ] - }, - { - "cell_type": "markdown", - "id": "c7c58eb3-8e5c-40fe-8149-786209324327", - "metadata": {}, - "source": [ - "## Compute architecture from architectural parameters and laws" - ] - }, - { - "cell_type": "markdown", - "id": "6fef8c24-8666-48c9-b93c-7bfa8d0783d9", - "metadata": {}, - "source": [ - "| Lignée | No. de plantes | Longueur racine séminale (cm) Moyenne (e.t) | No. de racines coronaires Moyenne (e.t) | No. de racines latérales Moyenne (e.t) |\n", - "|-------|----------------|----------------------------------------------|-----------------------------------------|----------------------------------------|\n", - "| 57 | 46 | 10.3 (6.4) | 0.17 (0.68) | 3.1 (3.9) |\n", - "| 109 | 76 | 20.2 (8.6) | 0.54 (1.1) | 14.1 (14.3) |\n" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "id": "937c0dcd-dc5c-4e6f-b001-0de89a5514e9", - "metadata": {}, - "outputs": [], - "source": [ - "from openalea.hydroroot.millet import architecture, age\n", - "from openalea.hydroroot.millet.architecture import millet_mtg2\n", - "import importlib\n", - "importlib.reload(architecture)\n", - "\n", - "g57 = millet_mtg2(\n", - " seed=1,\n", - " primary_length=0.103,\n", - " nude_tip_length=0.03,\n", - " nb_crown=1,\n", - " n_laterals_primary=3, # explicit count\n", - " lateral_length=0.02,\n", - " segment_length=1e-3, \n", - ")\n", - "g109 = millet_mtg2(\n", - " seed=1,\n", - " primary_length=0.202,\n", - " nude_tip_length=0.03,\n", - " nb_crown=4,\n", - " n_laterals_primary=10, # explicit count\n", - " lateral_length=0.05,\n", - " segment_length=1e-3, \n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "0a0912ce-fafd-4e40-83d6-4e31837419d6", - "metadata": {}, - "source": [ - "## Compute length and position" - ] - }, - { - "cell_type": "markdown", - "id": "873b51aa-7d08-4888-9dea-b136342e5fef", - "metadata": {}, - "source": [ - "* **57**" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "id": "4acc9050-4c07-4254-aa1d-e99860243994", - "metadata": {}, - "outputs": [], - "source": [ - "g57 = compute_length(g57)\n", - "g57 = compute_relative_position(g57)" - ] - }, - { - "cell_type": "markdown", - "id": "d55a647f-ff0e-439c-a207-87f2e9be5519", - "metadata": {}, - "source": [ - "* **109**" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "id": "166b5c05-80d0-4350-898f-2437c439adc7", - "metadata": {}, - "outputs": [], - "source": [ - "g109 = compute_length(g109)\n", - "g109 = compute_relative_position(g109)" - ] - }, - { - "cell_type": "markdown", - "id": "b461601a-aa45-4bf6-8490-96cb23cc12df", - "metadata": {}, - "source": [ - "## Compute diameter property using evolution laws" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "id": "efb443dc-67fe-467d-98f5-6af2d7116d15", - "metadata": {}, - "outputs": [], - "source": [ - "from openalea.hydroroot import read_file\n", - "from importlib import reload" - ] - }, - { - "cell_type": "markdown", - "id": "a642410b-69ea-40b8-978c-bc4e45b09fce", - "metadata": {}, - "source": [ - "- **Load diameter data for the different root types**" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "id": "67b9afea-c0bb-4ff2-8556-fd8cf599d6df", - "metadata": {}, - "outputs": [], - "source": [ - "sr_xy = read_file.readCSVFile(\"SR_diameters.csv\", delimiter=\",\")\n", - "cr_xy = read_file.readCSVFile(\"CR_diameters.csv\", delimiter=\";\")\n", - "lr_xy = read_file.readCSVFile(\"LR_diameters.csv\", delimiter=\";\")" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "id": "ad233424-3b4e-498e-95d8-d5dcb0f4a49f", - "metadata": {}, - "outputs": [], - "source": [ - "# convert to dataframe\n", - "import pandas as pd\n", - "sr_xy = pd.DataFrame(sr_xy)\n", - "cr_xy = pd.DataFrame(cr_xy)\n", - "lr_xy = pd.DataFrame(lr_xy)" - ] - }, - { - "cell_type": "markdown", - "id": "11813448-4f1c-41d9-b582-b383ef824c7e", - "metadata": {}, - "source": [ - "- **Estimate the laws from the data by determing the best params of the affine function**" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "id": "7abdbf06-5022-4418-a3b5-2578a597cfac", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 76, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from openalea.hydroroot.millet import law; reload(law)" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "id": "2236335a-f36f-4717-8720-16f70ea99aa6", - "metadata": {}, - "outputs": [], - "source": [ - "def affine_f(x, a, b):\n", - " return a * x + b" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "id": "9086ee80-fbb9-4e58-b55a-dc48ebb6b861", - "metadata": {}, - "outputs": [], - "source": [ - "sr_diam_law = law.diameter_law2(sr_xy, function=affine_f, plot=False)\n", - "cr_diam_law = law.diameter_law2(cr_xy, function=affine_f, plot=False)\n", - "lr_diam_law = law.diameter_law2(lr_xy, function=affine_f, plot=False)" - ] - }, - { - "cell_type": "markdown", - "id": "39df3861-836f-4e68-8246-638bc4c42850", - "metadata": {}, - "source": [ - "- **Calculate diameter and radius**" - ] - }, - { - "cell_type": "markdown", - "id": "52149881-9f96-4410-8e70-70da271399ea", - "metadata": {}, - "source": [ - " **57** " - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "id": "99295687-87c2-48a6-abfe-255b66a1e64b", - "metadata": {}, - "outputs": [], - "source": [ - "# calculate diameter\n", - "g57 = law.compute_diameter_from_laws(g57, seminal_RootDiameter_law= sr_diam_law,crown_RootDiameter_law= cr_diam_law,lr_RootDiameter_law= lr_diam_law)\n", - "# calculate radius\n", - "g57 = law.compute_radius_from_diameter(g57)" - ] - }, - { - "cell_type": "markdown", - "id": "f41cd528-53fd-4939-9184-389f29b8f399", - "metadata": {}, - "source": [ - " **109** " - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "id": "f2234503-eafc-426e-9b67-d05144ed0036", - "metadata": {}, - "outputs": [], - "source": [ - "# calculate diameter\n", - "g109 = law.compute_diameter_from_laws(g109, seminal_RootDiameter_law= sr_diam_law,crown_RootDiameter_law= cr_diam_law,lr_RootDiameter_law= lr_diam_law)\n", - "# calculate radius\n", - "g109 = law.compute_radius_from_diameter(g109)" - ] - }, - { - "cell_type": "markdown", - "id": "e01ec6f7-e2e2-4317-b0ac-934f6b8526be", - "metadata": {}, - "source": [ - "## Compute age of each vertex on the MTG" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "id": "b11b1744-4419-4a48-aeb3-25664dafa6d0", - "metadata": {}, - "outputs": [], - "source": [ - "g57 = age.compute_age_with_constant_growth_speed(g57)\n", - "g109 = age.compute_age_with_constant_growth_speed(g109)" - ] - }, - { - "cell_type": "markdown", - "id": "7d196eb2-3123-4122-b853-cc0676e18d19", - "metadata": {}, - "source": [ - "## Visualizing architectures" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "id": "873d6970-5877-4148-9513-0e021b0fbe54", - "metadata": {}, - "outputs": [], - "source": [ - "from openalea.plantgl.algo.view import view # 2D view\n", - "from openalea.widgets.plantgl import PlantGL # notebook viewer 3D\n", - "from openalea.hydroroot.display import mtg_scene\n", - "from openalea.hydroroot.millet import turtle as turtle_millet" - ] - }, - { - "cell_type": "markdown", - "id": "08c19c5e-b830-4330-80b4-50b9829ff8f6", - "metadata": {}, - "source": [ - "* 57" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "id": "bf6594b5-d261-45da-a51d-fe0545611cf7", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "s = mtg_scene(g109,prop_cmap='age') \n", - "view(s) # use PlantGL(s) to display in 3D" - ] - }, - { - "cell_type": "markdown", - "id": "a230e93c-02d4-4c49-880b-2cadb59f26cd", - "metadata": {}, - "source": [ - "## Calculation of axial conductances K from the evolution laws" - ] - }, - { - "cell_type": "markdown", - "id": "e365d8e1-e368-4d67-ab47-92f8606d0b3d", - "metadata": {}, - "source": [ - "### Define laws for the different root types" - ] - }, - { - "cell_type": "code", - "execution_count": 85, - "id": "d917bf82-b596-4b14-b33d-55a41c08254e", - "metadata": {}, - "outputs": [], - "source": [ - "# Laws are defined with respect to relative position, so experimental laws are slightly modified\n", - "sr_law = lambda x: 2135.05* (x * 29.5) + 21338.63 # x is replace by r * xmax where r is the relative position\n", - "cr_law = lambda x: 9228.45* (x *17.4) + 42600.14\n", - "lr_law = lambda x: 2951.65* (x * 13.6) + 2720.09" - ] - }, - { - "cell_type": "code", - "execution_count": 86, - "id": "2fc84bd3-a262-4d74-9a80-d7405761e3d3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 86, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from openalea.hydroroot.millet import conductance as conductance_millet; reload(conductance)" - ] - }, - { - "cell_type": "markdown", - "id": "1f77ccca-e5f2-448a-a128-b6d6fcd02bc4", - "metadata": {}, - "source": [ - "### Compute K for the lines" - ] - }, - { - "cell_type": "markdown", - "id": "8930037c-5a33-46da-b28d-48bcb522e767", - "metadata": {}, - "source": [ - "* **57**" - ] - }, - { - "cell_type": "code", - "execution_count": 87, - "id": "9e42932a-0571-4c6e-8d7e-99c1e6299fde", - "metadata": {}, - "outputs": [], - "source": [ - "g57 = conductance_millet.compute_K_from_laws(g57, sr_law, cr_law, lr_law)" - ] - }, - { - "cell_type": "markdown", - "id": "e65813b4-04e8-4f64-8d1c-a3851a7a9545", - "metadata": {}, - "source": [ - "* **109**" - ] - }, - { - "cell_type": "code", - "execution_count": 88, - "id": "1a0169de-5df3-4ef7-a47b-d83b7c9c1f75", - "metadata": {}, - "outputs": [], - "source": [ - "g109 = conductance_millet.compute_K_from_laws(g109, sr_law, cr_law, lr_law)" - ] - }, - { - "cell_type": "markdown", - "id": "17dce9b3-528f-4c5d-bd91-1e688300d0f9", - "metadata": {}, - "source": [ - " ## Compute surface and volume for the lines" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "id": "d6df51aa-3293-4d85-ab89-3b35a91d9e13", - "metadata": {}, - "outputs": [], - "source": [ - "from openalea.hydroroot import radius" - ] - }, - { - "cell_type": "markdown", - "id": "de747bef-3e38-4598-8817-b14c67ecef2e", - "metadata": {}, - "source": [ - "* **57**" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "id": "d8f5880e-4877-4261-b980-9f03ebd8d5e6", - "metadata": {}, - "outputs": [], - "source": [ - "g57, surface57 = radius.compute_surface(g57)\n", - "g57, volume57 = radius.compute_volume(g57)" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "id": "c5b034e5-2e2b-4372-addd-cea2d8c41c23", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "surface (sq. meters): 9.497065092701509e-06\n", - "volume (cube meters): 3.297623262612453e-10\n" - ] - } - ], - "source": [ - "print( 'surface (sq. meters): ',surface57)\n", - "print ('volume (cube meters): ',volume57)" - ] - }, - { - "cell_type": "markdown", - "id": "a7f8a0b8-64cf-4d26-ace0-2917a6d05f99", - "metadata": {}, - "source": [ - "* **109**" - ] - }, - { - "cell_type": "code", - "execution_count": 97, - "id": "3a474218-d78c-423f-9d47-0771e1c495dd", - "metadata": {}, - "outputs": [], - "source": [ - "g109, surface109 = radius.compute_surface(g109)\n", - "g109, volume109 = radius.compute_volume(g109)" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "id": "fb4a38a1-161f-4576-b0cb-3713a4c907a7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "surface (sq. meters): 3.634075428164427e-05\n", - "volume (cube meters): 1.1328779032705608e-09\n" - ] - } - ], - "source": [ - "print( 'surface (sq. meters): ',surface109)\n", - "print ('volume (cube meters): ',volume109)" - ] - }, - { - "cell_type": "markdown", - "id": "f09b2319-8ae7-49d0-8ebb-e7b54ef9a19e", - "metadata": {}, - "source": [ - "## Compute the radial conductances" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "id": "9b6b17a4-de9c-47ce-a5d5-fc72cccbecc5", - "metadata": {}, - "outputs": [], - "source": [ - "from openalea.hydroroot.length import fit_law\n", - "from openalea.hydroroot import conductance" - ] - }, - { - "cell_type": "markdown", - "id": "d73485fd-8516-4767-bbe0-2a482ffc5e4a", - "metadata": {}, - "source": [ - "### Define data with respect to the relative position" - ] - }, - { - "cell_type": "code", - "execution_count": 100, - "id": "7cee8e2b-3b10-4ac7-9425-8ae40109196c", - "metadata": {}, - "outputs": [], - "source": [ - "radial_conductivity_data57 = ([0,1], [300., 300.])\n", - "radial_conductivity_data109 = ([0,1], [300., 300.])" - ] - }, - { - "cell_type": "markdown", - "id": "5367dedb-ea84-4b61-9b8b-2ba44d15ac98", - "metadata": {}, - "source": [ - "### Radial law" - ] - }, - { - "cell_type": "code", - "execution_count": 101, - "id": "c5afb0e5-86d3-40d0-9a56-010250baf724", - "metadata": {}, - "outputs": [], - "source": [ - "def radial_law(radial_data):\n", - " xr, yr = radial_data\n", - " radial_conductivity_law = fit_law(xr, yr)\n", - " return radial_conductivity_law" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "id": "ecb71871-5c9a-4dfb-a33f-98be3620d95b", - "metadata": {}, - "outputs": [], - "source": [ - "radial_law57 = radial_law(radial_conductivity_data57)\n", - "radial_law109 = radial_law(radial_conductivity_data109)" - ] - }, - { - "cell_type": "markdown", - "id": "03880815-6b0a-42ab-a433-a9554ebfb706", - "metadata": {}, - "source": [ - "### compute radial conducances" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "id": "6d805ceb-932e-4df2-a401-986cbf0c8a2d", - "metadata": {}, - "outputs": [], - "source": [ - "g57 = conductance_millet.fit_property_from_spline(g57, radial_law57, 'relative_position', 'k0')\n", - "g57 = conductance.compute_k(g57, k0='k0')" - ] - }, - { - "cell_type": "code", - "execution_count": 104, - "id": "6c49c7d4-95c4-4995-b69d-8e77e6a97684", - "metadata": {}, - "outputs": [], - "source": [ - "g109 = conductance_millet.fit_property_from_spline(g109, radial_law109, 'relative_position', 'k0')\n", - "g109 = conductance.compute_k(g109, k0='k0')" - ] - }, - { - "cell_type": "markdown", - "id": "27754a99-ea35-4ddf-af73-06be462c9cd7", - "metadata": {}, - "source": [ - "## Use HydroRoot model to compute Water flux" - ] - }, - { - "cell_type": "code", - "execution_count": 107, - "id": "c2fea737-3262-48ff-b579-b217ceb0b14b", - "metadata": {}, - "outputs": [], - "source": [ - "from openalea.hydroroot import flux" - ] - }, - { - "cell_type": "markdown", - "id": "de89cba8-0906-44b6-8557-dff1af043ad0", - "metadata": {}, - "source": [ - "### Define hydraulic params" - ] - }, - { - "cell_type": "code", - "execution_count": 108, - "id": "32ac5965-b4ab-4912-a16b-1e9f0dfd6f56", - "metadata": {}, - "outputs": [], - "source": [ - "# parameters\n", - "Jv = 0.1\n", - "psi_e = 0.4\n", - "psi_base = 0.1" - ] - }, - { - "cell_type": "markdown", - "id": "4576d4f7-0751-4a58-9107-20e703bfa4c6", - "metadata": {}, - "source": [ - "### Computation of flux in millet root system" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "id": "a60f2eb8-83fe-4f39-ad32-77b9eecae1bf", - "metadata": {}, - "outputs": [], - "source": [ - "#57\n", - "g57 = flux.flux(g57, Jv, psi_e, psi_base, invert_model=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 110, - "id": "c89698c6-0a2b-4489-b5e6-a0710120c370", - "metadata": {}, - "outputs": [], - "source": [ - "#109\n", - "g109 = flux.flux(g109, Jv, psi_e, psi_base, invert_model=True)" - ] - }, - { - "cell_type": "markdown", - "id": "968a3282-1205-482d-a4f3-14a55c0d8c26", - "metadata": {}, - "source": [ - "### Visualizing water fluxes for two architecturally contrasted millet lines" - ] - }, - { - "cell_type": "code", - "execution_count": 135, - "id": "eca27e97-a01b-404a-addf-4110e7f97f63", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c3bf5679f05f438d8d8b0fec244bca17", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Plot(antialias=3, axes=['x', 'y', 'z'], axes_helper=1.0, axes_helper_colors=[16711680, 65280, 255], background…" - ] - }, - "execution_count": 135, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "s57 = mtg_scene(g57,prop_cmap='j')\n", - "#s109 = mtg_scene(g109,prop_cmap='j') \n", - "PlantGL(s57)\n", - "#PlantGL(s109)" - ] - }, - { - "cell_type": "markdown", - "id": "d5c38c4f-38e0-445b-99c4-d91f1ddbbacd", - "metadata": {}, - "source": [ - "### Calculate global water at the root base" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "id": "b8e36e09-b2b8-4462-8b2a-5737b1dba990", - "metadata": {}, - "outputs": [], - "source": [ - "from openalea import plantgl as pgl # 2D view\n", - "from openalea.widgets import plantgl as wgl" - ] - }, - { - "cell_type": "code", - "execution_count": 126, - "id": "340dbc3b-85f5-4bc8-aa91-6740ca2c081e", - "metadata": {}, - "outputs": [], - "source": [ - "def compute_Jv_global(g, HAS_SOIL=False):\n", - " Keqs = g.property('Keq')\n", - " v_base = next(g.component_roots_at_scale_iter(g.root, scale=1))\n", - " Keq = Keqs[v_base]\n", - " \n", - " if HAS_SOIL:\n", - " psi_e_base = g.property('psi_e')[v_base]\n", - " else:\n", - " psi_e_base = psi_e\n", - " Jv_global = Keq * (psi_e_base - psi_base)\n", - " return Jv_global" - ] - }, - { - "cell_type": "markdown", - "id": "3266a1c9-29f0-4ecd-a537-76ad09dfbe97", - "metadata": {}, - "source": [ - "* **57**" - ] - }, - { - "cell_type": "code", - "execution_count": 127, - "id": "ae17b59b-88fb-4caa-af76-9178d6d5a0b6", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Global water flux (microL/s): 0.0008547352629919072\n" - ] - } - ], - "source": [ - "J57 = compute_Jv_global(g57)\n", - "print(f'Global water flux (microL/s): {J57}')" - ] - }, - { - "cell_type": "markdown", - "id": "ed37a672-b7a0-4c5f-a47f-c1fc79102293", - "metadata": {}, - "source": [ - "* **109** " - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "id": "1aaf92ba-4b23-4419-9c53-e8465479e054", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Global water flux (microL/s): 0.0032706488579380003\n" - ] - } - ], - "source": [ - "J109 = compute_Jv_global(g109)\n", - "print(f'Global water flux (microL/s): {J109}')" - ] - }, - { - "cell_type": "code", - "execution_count": 136, - "id": "4016861a-f178-451d-87fb-7dbeae79c0c1", - "metadata": {}, - "outputs": [], - "source": [ - "from openalea.hydroroot.display import property_scale_bar" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ab9221c5-dd09-4378-b819-5bd84932e0d5", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.13.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/doc/example/millet/WIP_notebook.ipynb b/doc/example/millet/WIP_notebook.ipynb index 0a239c3a..8853e54e 100644 --- a/doc/example/millet/WIP_notebook.ipynb +++ b/doc/example/millet/WIP_notebook.ipynb @@ -54,12 +54,12 @@ "outputs": [], "source": [ "#Seminal\n", - "primary_length = 0.7\n", - "segment_length = 1.e-4\n", + "primary_length = 0.7 # 70 cm\n", + "segment_length = 1.e-4 # 0.1 mm\n", "n = int(primary_length/segment_length)\n", "nude_tip_length = (primary_length*0.15) / 0.75 # for a root 75cm-root we computed a 15cm nude tip length, so for a given root length we infer the corresponding length of apical zone\n", - "lamda = int(nude_tip_length/segment_length)\n", - "delta = 2.e-3 #branching rate\n", + "lamda = int(nude_tip_length/segment_length) # nb of segments without ramification from the tip\n", + "delta = 2.e-3 # latency time / m\n", "beta = 0.25\n", "branching_delay = int(delta / segment_length)\n", "\n", @@ -131,14 +131,11 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] }, - "jetTransient": { - "display_id": null - }, "metadata": {}, "output_type": "display_data" } @@ -263,14 +260,11 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] }, - "jetTransient": { - "display_id": null - }, "metadata": {}, "output_type": "display_data" } @@ -373,14 +367,11 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] }, - "jetTransient": { - "display_id": null - }, "metadata": {}, "output_type": "display_data" } @@ -405,14 +396,11 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] }, - "jetTransient": { - "display_id": null - }, "metadata": {}, "output_type": "display_data" } @@ -440,14 +428,11 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] }, - "jetTransient": { - "display_id": null - }, "metadata": {}, "output_type": "display_data" } @@ -505,8 +490,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Surface : 0.008573641102676754\n", - "Volume : 1.5536280656653754e-06\n" + "Surface : 0.008946083486900883\n", + "Volume : 1.6257012403019063e-06\n" ] } ], @@ -562,7 +547,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:14:23.856465Z", @@ -601,7 +586,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:14:26.493390Z", @@ -641,7 +626,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 23, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T14:17:52.779528Z", @@ -675,7 +660,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 24, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T13:48:58.949222Z", @@ -707,7 +692,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 25, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T13:49:02.355198Z", @@ -737,7 +722,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 26, "metadata": { "ExecuteTime": { "end_time": "2025-09-12T13:49:04.562898Z", diff --git a/src/openalea/hydroroot/conductance.py b/src/openalea/hydroroot/conductance.py index 3b58729a..3e27d9b4 100644 --- a/src/openalea/hydroroot/conductance.py +++ b/src/openalea/hydroroot/conductance.py @@ -156,7 +156,7 @@ def poiseuille(radius, length, viscosity=1e-3): # DEPRECATED def compute_k(g, k0 = 300.): - """Compute the radial conductance k (:math:`10^{-9}\ m.s^{-1}.MPa^{-1}`) of each vertex of the MTG. + r"""Compute the radial conductance k (:math:`10^{-9}\ m.s^{-1}.MPa^{-1}`) of each vertex of the MTG. .. math:: k = 2 \\pi r l k0 diff --git a/src/openalea/hydroroot/millet/Simulating_archicture.ipynb b/src/openalea/hydroroot/millet/Simulating_archicture.ipynb new file mode 100644 index 00000000..3efda7e4 --- /dev/null +++ b/src/openalea/hydroroot/millet/Simulating_archicture.ipynb @@ -0,0 +1,267 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2e095779-4a3f-4330-a131-d5fac2b265f5", + "metadata": {}, + "source": [ + "## Load packages" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "27a65c43-8622-4ff8-a641-b2afe382d303", + "metadata": {}, + "outputs": [], + "source": [ + "import openalea.mtg as mtg\n", + "from openalea.hydroroot.main import root_builder\n", + "from openalea.hydroroot.radius import compute_length, compute_relative_position" + ] + }, + { + "cell_type": "markdown", + "id": "c7c58eb3-8e5c-40fe-8149-786209324327", + "metadata": {}, + "source": [ + "# Build architectures for 57 and 109 lines" + ] + }, + { + "cell_type": "markdown", + "id": "6fef8c24-8666-48c9-b93c-7bfa8d0783d9", + "metadata": {}, + "source": [ + "| Lignée | No. de plantes | Longueur racine séminale (cm) Moyenne (e.t) | No. de racines coronaires Moyenne (e.t) | No. de racines latérales Moyenne (e.t) |\n", + "|-------|----------------|----------------------------------------------|-----------------------------------------|----------------------------------------|\n", + "| 57 | 46 | 10.3 (6.4) | 0.17 (0.68) | 3.1 (3.9) |\n", + "| 109 | 76 | 20.2 (8.6) | 0.54 (1.1) | 14.1 (14.3) |\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "937c0dcd-dc5c-4e6f-b001-0de89a5514e9", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot.millet.architecture import millet_mtg2\n", + "#import importlib\n", + "#importlib.reload(architecture)\n", + "\n", + "g57 = millet_mtg2(\n", + " seed=1,\n", + " primary_length=0.103,\n", + " nude_tip_length=0.03,\n", + " nb_crown=1,\n", + " n_laterals_primary=3, # explicit count\n", + " lateral_length=0.02,\n", + " segment_length=1e-3, \n", + ")\n", + "g109 = millet_mtg2(\n", + " seed=1,\n", + " primary_length=0.202,\n", + " nude_tip_length=0.03,\n", + " nb_crown=4,\n", + " n_laterals_primary=10, # explicit count\n", + " lateral_length=0.05,\n", + " segment_length=1e-3, \n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "0a0912ce-fafd-4e40-83d6-4e31837419d6", + "metadata": {}, + "source": [ + "## Compute length and position" + ] + }, + { + "cell_type": "markdown", + "id": "873b51aa-7d08-4888-9dea-b136342e5fef", + "metadata": {}, + "source": [ + "* **57**" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "4acc9050-4c07-4254-aa1d-e99860243994", + "metadata": {}, + "outputs": [], + "source": [ + "g57 = compute_length(g57)\n", + "g57 = compute_relative_position(g57)" + ] + }, + { + "cell_type": "markdown", + "id": "d55a647f-ff0e-439c-a207-87f2e9be5519", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "166b5c05-80d0-4350-898f-2437c439adc7", + "metadata": {}, + "outputs": [], + "source": [ + "g109 = compute_length(g109)\n", + "g109 = compute_relative_position(g109)" + ] + }, + { + "cell_type": "markdown", + "id": "7d196eb2-3123-4122-b853-cc0676e18d19", + "metadata": {}, + "source": [ + "## Visualizing architectures" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "873d6970-5877-4148-9513-0e021b0fbe54", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.plantgl.algo.view import view # 2D view\n", + "from openalea.hydroroot.display import mtg_scene\n", + "from openalea.hydroroot.millet import turtle_millet\n", + "#importlib.reload(turtle_millet)" + ] + }, + { + "cell_type": "markdown", + "id": "08c19c5e-b830-4330-80b4-50b9829ff8f6", + "metadata": {}, + "source": [ + "* 57" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a86e39eb-51fd-4d5b-8073-2d1e81484457", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "s = mtg_scene(g57,prop_cmap='order', visitor=turtle_millet.visitor2) \n", + "view(s) # use PlantGL(s) to display in 3D" + ] + }, + { + "cell_type": "markdown", + "id": "cfdc8748-e7b6-4a2d-a185-6e510d8d1c1e", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "43d254d4-ce11-4643-9ccf-4f8469a91696", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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esyYrC0vr1pVq8omITBVDOxGRmcpJS4MuIgIeWi18AHgA8K1fv3AjJU1sLMITE/GbToeB166V2DGmQNFZ9jz4YB0+kzu//yFvufR4FCoVbH194ejgIM3qi8KYxCtXsP6ZZx77sYmIDBVDOxGRmYo5dgxn5syB6BHTB0D9J5+Ex99iD9N8t5ctQ8iePfDv3h0qOcg/Wg2mpdyjvfwqMu0mTULGjBnQOTgUfi0tNrZYbT4RkSlhaCciMkOa5GRkrFoFd0BqoygEfPMNFBb5wTrt/HmcO3BAWuzZY/58qG3FItLSE0cHAAgs3FjJUr49Xk17Ue3eeQf1/PykRxViTp/GmVWryu3xiYgMCUM7EZEZ0iUnQ7VqFfzl+W/Hjz6C0s2t8P7o4GAcPXAAQVOmwLFq1TI/vgjtoua8prRUVCxgvSgaRz5Wy8f7ab9gAZRWYhY/35U//kDIPrGtExGRaWFoJyIyM7rcXIT07i0tDxUXgZMAMjp3hlKeTc+6cgUhb7+NDLGJUdu2sHZ2LvNziPn03MIKd9GzPU7u9VK+XHv3xsiDBws/V169itQXX0QOy2SIyMSw5SMRkZlJqFULFuHhyBG7lwJo9Pnn8G7fvrDFY1JqKo6Eh6P9u++i7oABZX78lvK/Iq4flOK7pfzZo/dofxiPoCAoLSygzcvLbwF58yaqJSdDrdOVevEsEZGh40w7EZEZ0URHI+b2bYjlpltE1xV7eyg9PaXQK2QnJ+PbFi2kWXd7Ly+oLAsqxsvGQq5k10ltHtMqLLBLz2VtjfEXRflN/jOFiWKcTp2QFydm94mITANDOxGRGYnr0wcJKSlSq0Rxsxw5EnVHjiycZQ+TNyqq3a8f2kyaVObHT7pxA+nx8RAd0+PLddnpg4nZdLWNDbwaN5Yq5sVN9JTJOXiQO6USkclgaCciMhORf/6J8wkJCBEz6iLY+vqiWocOxY4Rvc7d3NwQ0LPnIz1H2I8/IuPgQamKXcT/RFQORz8/PLNmDWq0a4dqcoPJxMGDkbJiRSWNgIioYjG0ExGZidPff4/DkZEIl0O7W+3aaPD884X375sxAwqNBg38/NBszJhHeg4veZfSgiaPomXkHY7yPRXDs3591H/mGemFgpjl1+h0+G/69Ap7PiKiysTQTkRkBi6vWoUbBw4UVpZbeXqi94IFxY6J+9//4Gpjgxbff//Iz6MCcFbuSCMaPBZnU+H9D2oPHgynPn0QJS+yzUhOxq7XX6/Q5yQiqgzsHkNEZOJErXpMaChuxYv5Z0iLTl87dUoqjyl6TF2x06haDYeWBf1fyk60iRQz3bcB5EGFFSg6Y68p9z7td3Py90ef1auR0KMHNCdPolpuLm6dOCH9fOwkQ0TGjDPtREQm7uKmTdg/a1ZhXBZ91+19fIods71HD1hHRqLWzZuP/XzqIheXtML9VpXyPRW/NNXa1RW5bm5QKRQQHeY1x4/jtxEjkJdV/n3iiYgqC0M7EZEJy83MlDq66LSi9WK+N65eLTbrnHfzJnxu34ZDvXpQPGKLx8Lnk+fSRZlMPvE8Irg3APCEXNde8Wrs2oVcDw9kAjiq0+Hczz/jyOLFlfLcREQVgaGdiMhEaXJycOyrr7D7rbekEO0KoE7PnlCqiy8GTZk7F7knTsB9504o7rqvrCIA3CzcDbWAVl76WnG92u/HYcAAxCsU8JTn+GPPnkVqlKh2JyIyPgztREQmKjcjA7veekv6WMxvNwYw8LPPYGlnV3hM5pEjyDhyBI4vvQSVY3nPgotZdlEpXx+Av/y1ygvubt98A3+lUmoBKX4yMdsedeJEpT0/EVF5YmgnIjJBYuHl1jFjCmeZRRvGqlOmwLJ69WLHxRw/jgMnTsB55EionZzKdQz2UmivKeb3ASk65++RWmmUSrgvXy71pU+Xn/ngp59ytp2IjBJDOxGRiYraulWa5+4LoJUoj2nTBipnsTQzX8bRo7g8ezaqzJgBtxYtyv358wttRFlMXpGGZZWxR2o+UbfvOGIEOqxZI41CiDh0CEc7d4YmU1S7ExEZD4Z2IiIT9G3DhnDNzZVm2MXN85134DhwYLGZ+NTbt3EzOho2Pj6wtC/o8lI+FIUXGBGXc+TgrqjU0F7Q3tK3Vi34WVgUXvD+vXoVOewkQ0RGhqGdiMjE5MbEoG9SEvzkXUlhawuNl1exRaYpERFY3qsX0hwcYFXOteyOcp+YJ6WAHiAvRD0P4Hd5r9LK5dqiBdqtXQu1/HOK0Sz085NeuBARGQuGdiIiExP5wgtQRkVJ9ewxdnZwevtteEyeXHi/aP8Y+e+/sHB2RpuPP0bjESPK9fl18tx6fiRWyS8drPS2n58ok6n/zDNo/uqrhV+z0mqRefiwXsZDRPQoGNqJiExI2oEDUEdESD1a0gAk1agB548+KnaMNi8Pvw8bBu8mTdDmzTfL9flFKU4NQNrUSCz+zI/uar2G9gJV27WDs7wQ1yk7GxefegpZW7bodUxERKXF0E5EZCKyDxzAzQkTcO7qVRwCkGBjg4YffHDPcaINpNLFBW2LzL6XFw8AQQCqSC8aRGC/CEC0Wbwiv4zQn7oDB8KzgdjkCYgFcD0+Hje/+UavYyIiKi2GdiIiE5F54QJiz5+X4vFlANcsLVFnyJB7jju9ahXU9vaoM2BAuY8hr0gndgsptMcBCBVFOwCyoG/d586Fo7+/VL5zS1wEDx9GwrJl+h4WEVGJ9PteJRERlYvow4dx6L33pJgsmhmKf0edPn3Pcf/r1Qt5mZmYcOFChZx5EdoTAJyUy2Ty69mt5Shf0PpRf8RMu9rWVuoeX09U3CclQXXjhrQoVdS+ExGZzEz733//jf79+8PX11f6A7d58+Zi94s/fDNnzpTut7GxQefOnREcHFzsmOzsbEycOBHu7u6ws7PDgAEDcPOm2PiaiIjKSiwsTU1IwLnbt3FDjsZWTk5w8PUtdlxOWhrSoqLQVqeDvY9PhZxoUR7jKL9o2CX99xKAZIMI7AXGnz+PNF9fqY+NqLtPXrAAKT/9pO9hERGVb2hPT09H48aNsXTp0vveP2/ePHz55ZfS/ceOHYO3tzd69OiB1NTUwmMmTZqETZs2Ye3atTh48CDS0tLQr18/aDSVt701EZGpSIuMxKb+/aWPMwA41KqFCRcvQmUpNXwstPmll5B5/jwaNGxYoePJkdsqiujuIZXHGBbRu33s1au4KVfZh2q1CA0NRW56/tJZIiKTCO19+vTBJ598gkGDBt1zn5hlX7hwIWbMmCHd36BBA6xatQoZGRlYs2aNdExycjJWrFiB+fPno3v37mjatClWr16Nc+fOYc+ePfd9TjEzn5KSUuxGRET5s+yXtmxBbpGT0e+bb+Bw10x6/PnzsI6IgFiG6b53b4WVgqTKy05DpPpLLYYh/2+/oVGoVKjSty/EWXIX4505Eye+/BJ53HSJiMxhIWpISAhiYmLQs2fPwq9ZWVmhU6dOOHRI9DIATpw4gdzc3GLHiFIaEfALjrnb3Llz4eTkVHjz9/cvz2ETERmtv2fPxrYJEwqLT2r37QuXmqJiu7jojRvhd+QIWo4bB5W1qDGvGHFFesRo5BaQd9gbzFIqCysrdPvyS2msopynKoD/PvwQWcmilIeIyMRDuwjsgpeXV7Gvi88L7hP/WlpawsXF5YHH3G369OnSDH3BLSIiojyHTURktP5bsKDwYxE+m/fqBZca+UtAC9w8dAhx69ZJy0Ftx46FogJDu4jk4tHFPL4GSmxEvyL32hhMaBcsfH3hNGMGouRuO2IB7+9jxkjvXhARGZoK+et599uupVmV/7BjxGy9uBER0R3rBg1CdpGZ4RrPPYcaL7xwzylyjIpC9YsX4TF/PtR161boKbwt38QSVB0UOIeAIvdqC/dJNQQqe3u4tmuHRHlUYu/Wazt25F+P9D04IqKKnGkXi06Fu2fM4+LiCmffxTE5OTlISkp64DFERPRwmtxc3Lp+XZoVFjXZfZ94Av1XroSlq2ux47KCgxExYgTOq1SIrlYNygqcZb+7T/udy4woi2kMoLO8V6rhsOrZE/5z56KGUimV8lhrtVgSGKjvYRERVWxor1GjhhTKd+/eXfg1EdAPHDiAdu3aSZ83b94carW62DHR0dE4f/584TFERPRwv48YgdizZ6XZYW+VCn5VqsDirkAuAr0uIgKKrCwEzZiBOvdpIFCR8nvX6OQZdsNp+ViUwsICTu+8A+8RI6TOO6JEJislBalRomiGiMiIy2NEe8Zr164VW3x6+vRpuLq6omrVqlI7xzlz5iAwMFC6iY9tbW0xbNgw6XixkHTMmDGYOnUq3NzcpO+bNm0aGjZsKHWTISKih7t94wYcY2LgJ9ex+/n4wHft2nuO06ak4EqfPkj09IRPzZqVvnmQ2LwIhcE9x3CDu0KBpKAg5Do6AikpyExMxNqnn8bYI0f0PTQiokcP7cePH0eXLl0KP58yZYr074svvoiVK1fi7bffRmZmJsaNGyeVwLRu3Rq7du2Cg4ND4fcsWLAAFhYWGDJkiHRst27dpO9VqcScERERPcita9dw4I03YHHgADqInuxKJSxHj77nOFGXnfLdd9LOpHYdOqDriy9W+knNkSrDq8vlMW7y8lTDXOTZ7K23ELVhA84ePSq9vEiLicH1XbsQUKTTGRGRPil04i+7kRF92sWMvegk4yhmRoiIzETsb7/h+DPPSJXhVURLxUWL4DBx4n0bAJyyssJ/Hh7ovWoVAirpncy/PvgApz/5BKIxbxWo0RYHAIg6e1tp/9EDB6qgY0cR4g1PwubNWDlyJNLkzQCr1K6NfosXw7tXL30PjYhMVFkybbnWtBMRUcXJvnEDGe+/j9pywUm2mEUfPvy+ZS/Bgwfj77w8KF1dKy2wQx6X6PXlC0gbFwFZcllMQX8Ww73suA8ciOf+/FPUy0ifR1+5grAzZ/Q9LCIiieH+9SQiokJSG8K0NCgvXpTi7y0xy75rF5TOzvc99sCxY8i0t8fIvXsr/Sxq5RcU+YUw2fJNYxSXHL9WraBQKqVCHunMzp6NTD2cQyKiuxn+X1AiIjMnQnheeDguNGsm1VuLwB5rbw+dj48UMO92o2dPpIWHw8bNDXaenpU3zuxs1MvMRF+5dCdXir715OVTF0XPGwDxMGTifE4JD5deGIndUkNSUpASHw+dpngjSyKiysbQTkRkBG7Wro0QjQYbABwC0G35cng2aHDfYw9qtVLrwomXxT6flSfrt9+QMn++FHgt5HHmLz5Vyw0gDb/ZgCg1Eq0z3erUkd4fSAEQNnQocm/c0PfQiMjMMbQTERm4K1u2IE6rRYI0ew1YN2gAdbVq9z026vhxqfNJ3aeeuu8sfEUSIVdsrRcHIFKK6CK+i37nEfL7A2K22vD3GrVxdcXTq1ZJLzNE7xux7V/G1q3Q5Rlmy0oiMg8M7UREBm7npEk4l5eHRNE4sX59PLl0Kfzbtr3nuJtHjuCP119H/IUL6L1oEZQWZe7q+1jEPtexcjwXrSYTpNAeDED0O78gz1sbR8MyxypV0GTQoML6/KSpU6HLEcVJRET6wdBORGTA/v3oI6THxeGm3IdFlG1U79TpvsdGnzyJ1OPH0WvWLNh5eFT6WNPkzjHu4t0AObznf2RpFDPsRTn6+aFKv37SewTinYNoAFtGjtT3sIjIjDG0ExEZqL/nzMF/8+cjNyND+tw1MBB9Fi2677GRx47hwKxZ0i6p9du1g9pW9EWvPLcuXsQ/06ZJH1vI4T0/qFvJwb1yZ/3LQ+2nn0b30aOl8hhxNrN27ND3kIjIjDG0ExEZIG1eHlIjI5GWni4VlFg6OOC1U6fg5C+2LbqXOiMDnjExCPr8czg+YCa+ImVnZSEuKkoqhtkJIBTAEoyTy2KS5Gp842Lt7AxLLy9YKpX5m1llZODXpk31PSwiMlMM7UREBujkihU4tmxZ4ecu1avD0s7ugQEfUVFo6eiIap6eUFRyLXtRYm5dJ98mYKm8+PSOtKjI/PEaCd/Zs6Ho3VvaHkrMtkcmJyM1WhTLEBFVLoZ2IiIDk5mUJC0mLagCFxF87LFjDz4+OhpHhg2D17BhcNRD3bUmNxc3//tPKoKxLtLYMQQ15Ap3b7FtkXjpga1DhyM9VixXNQ6iBWRus2YIt7XFQQDJISHYMnasvodFRGaIoZ2IyIDkpKXhrw8+wJHFi6UALIphnhgzBkrV/Xuci01/sr7/Hn5+frDu1g36kJOaij/Hj4erPNMuFswKoYWh3UcO7b5whKXRXXgCPv4Y1X19pfaPDgBSb9xA2D//6HtYRGRmjO1vJxGRSctKTsbRr76S/ji7AGgGoP2MGQ9u36jVInnWLKQGBMD22WehLxbyFkrpRb7WBfsAXAJwCsBRqQeLHXRGeeHxmT0b/mq1VJkfd/Eirvzxh76HRERmxhj/dhIRmSRR673x6ach9jltIs9P+y9cCAsf8dH93ezXDxoPDzT86ivok4X8IuPh1fQ6REMn1YcbG+vBg5FuYSHtNCt6t5/9+WdcZTcZIqpEDO1ERAZCp9Ui9/hxiL1OgwC0+/hjuL72GhTW1g88/p9jx7Db2hquDUTUr3w6nQ4/NWqE/kFB6B0VhSaTJhXet0zqHiMuMzaiESWADsiCk5Fsr3RvbXvT8+eldxME0dlH9M8XPz8RUWVgaCciMgB5SUn43tcXfjqdVDdtYW0NpZcXlFb5Hc/v51KLFohITcVrN25An2xiY+GkVsPaxwdqe3vpwiK2U0qHXZFeMmJ+WgULKI1sm6U7rL290cbFpfDdhN9Hj0bUQxYIExGVJ4Z2IiIDcLlbN/RPTESAiLj29nD+4AO4PKRLya0bN3A1LQ1ujRtD8YBFqpXFR94NVVDIi2eflGvc7xBFMXnIg84oZ9oFla0tGv/3X2F5j3inI/7iRal7DhFRRWNoJyLSs+SDB+Fw65bU0fw2gOtNmsDpvfce+j1733sPF69exfBdu6TSDX1J/u03+Gm1UjvEAjnyVko6aabdV47xHnKkFzPuxsvK0RHVu3SRPhYz7v+MGoWcJLF5FBFRxWJoJyLSs+hly3AlLExa5HjbwQEBr7760OPD9u5F/NmzaDRxIlQ2ol5cf+InTYLWygqNJ06UPvcEUFsOtK/jP7mWvTmAekBhuYzxcvDxQbspU6SPFfJLkaQ5c6RZdyKiisTQTkSkR6nr1+PWgQMIBvCX6G3u4IB6w4c/9HvCDx2SyjKajh4NtZ5Du9gb9Li1tTQWwQ2QurOLuvxG2C13bS8oHxFlPMZa0X6Hb8uWaPzii9JPFQMgeMkSfQ+JiMwAQzsRkZ5k7dmDqPHjERUVJfU3j1GpMPgvEd0f7Pru3fhv8WL0mD8f7nXrQt9EaI+9p3I9v549s7DCXXzlIoA9Yl4axs7eywse9cQ7B0AygCpaLW507KjvYRGRiWNoJyLSA1FOcSMxEesTEhACSPXsk0JC4BoY+NDvyUxMRNbt23Dy95c6zOhTbO/eSIqMLDYOEc9DAWTIxTCArRzhdfJX86DNyjL6VoltJ09G26FD0U4uBbK9ehW67Gx9D4uITBhDOxGRHiRdvIidzz8vhXUxy25XpQqsHBweuqg0LjgYm4YORZd330V9Pe5+WmB7ZiZidDpMCgsr/JqTfBMLUy9LX9HJoV20rlRDAQWOBAZCl2eMWyzdobK0hMLXF5FWVrglFt/GxSFUXqBKRFQRGNqJiPSw82nIP/9I884Fhv7+O6ydnR/6PREHD6KKlxfq1q6t144xJV1UrOT59fzAniBXfotCEi10UJjMhafnF19A2aiR1C1HdP05n5QkLRAmIqoIpvK3k4jIaORmZmLr668X9vsO7NMHdp6eD/+ejAz8OW4cqrdrB48RI6BvN/fsQfrNm/d8XYRXMe+eWhjaz4nGiABOS/XsftBCFAAZ5kuOsgscNgz+NjZSKZDdpUu4sHChvodERCaKoZ2IqBKJWu4db75Z+Hntvn3RZ8kSOFap8tDvOfDmm2jv54dG48fDEARv2CBt8CTNNhfZ3ClJLosRc+v5VetW8i3/clNVrgE3FW0nTUKyvb30zoK3+MLBg7i5c6e+h0VEJoihnYioEq0fPBinV64s/NyrcWO4Boh9UB9Ou2YN6rq4wK1bNxgCURIiOpMHDRkChfLOpURUr9sUzqQrioT2/P1RRUmQqS3XrLl1KxIVCum9hGNXryIyWDTwJCIqXwztRESVRHR/iT55UkydS5sQ9e/dGx2mTy/x+35q1Qr+Vlbw2L8fhkDq/CJ3f7m7zCUeQGLhLLuI9cHy/Ht+VPcBpIWbpsS+RQs4KZXSixWxsHjvzJkI2bdP38MiIhPD0E5EVEnWPPkkboeESFsM+ahU8PP0hKW9/UO/R3P7NnrExsLN3R1KN7F1kf4dW7YM55cvxzPOzrArUhpTENOL7w0qtiDS3TMTb1KUSviEhaGa/KJEl5aG9Lg4aDUiwhMRlQ+GdiKiSpAcFganpCS4i3IKseVQnTrwXrWqxO+7OXgw4iIi4HlRbE5kIHQ62Ot08Ni8GSpf3wcedm8XeQukQ4k0mBbRyUdlbQ1XecMl8TJlw9Ch0gs0IqLywtBORFQJTi5YgLyjR9EdQBcLC9R46qkSvyfr6FFYRkVBNWiQNJtrKBzkBaWiUv1h7o3zLrgGK+y7Zzbe+Il3QRy3bEFuO7HdUr6Lv/0mteokIioPhnMVICIyUVL4PnhQmmUXpSG2c+fCbc6cEr8vevVqHLtwATVFhxZ1/kJOfUu6dg0pmzej2dNPw76meM/gwbLu+YoGttAWWahqWlxr1ULLMWOk8idh9zvvQJMr5t2JiB4fQzsRUQXKuHABkS+/DLcTJ6TQLqq7nSZMKPH7snbswPWtW3Fe7tRiKNLDwpCwdy+ce/aE2t//gWUxolCkyT336BAJILNYlbtpqdGjB+oMHFj4+cZhw/Q6HiIyHQztREQVSHHrFhTnzkmzrzcAOO/ZA1halvh9t8PDcTM0FE/+8MNDe7hXNlfxMwCIe8gxYhbdXj42nyikEVsqtUUqHA3qRUh5c/D3h1ORdyCu796t1/EQkelgaCciqiB50dGI6t5dCuwpACKsrICaNYv1Nb+f+H//xZY33sBNtRpO1apBZSClMaJlJbKzkWNhgQyLB2+RJH66nPvOposXK/k/e16mmG83Td3nzkXNHj2kj3Xp6bjR5N73HIiIyoqhnYiognqZZ9+4gcvZ2fgPQJToy75lC5xr1Hjo94mFi4nh4YjKyUH3L75Aja5dDeb3kxMRgUt9+6L+q6+i4csv3/cY8QKlJYDmhWU9dvK8u5ht18JSRHmdDgtLOA/GTGVpCaX8wkz81GEpKciNEv8HEBE9OoZ2IqKKoNHgRocO0mZDVwGE16sHhbuoan+4rNhY/DVsGJz8/eFcvbpB/W5Ex5dYefOkB3GSa9rzZ9vFf9sD6AmglXRPjrT9kOnzbdUKaltbaQfY0JAQXH/tNX0PiYiMHEM7EVEFOLpsGc7pdEgG4N6wIfp9+y18mjUrsfzk8Lff4jaANn36oO6AAQb1uxFxOwJASAnH5Mr/5reEFDuhFgR1i8K+MX4wbV1nzYK9j4/c6BLIvX4dGf/8o+9hEZERY2gnIipnp2bOxJ6338YVAKkioLZqhWodOpT4fWIHzb8/+QSugYFoMGqUQf1edLm5SJw6Fbb16qHxiBEPPM5H7uMeCuB4YePHHHmeXlV42TGcpbUVp+e8ebBTq6UXKA4XLiB7xw59D4mIjBhDOxFRObv4xx/IyxYzzIBro0bo8N57pfq+n598Es5ubnh682Y4tG1rUL8XrVaL3zduBHx8UKV16wce5yhXsIuFt+HSrHpB7bqYnz8gOr1Ln6XD9NUbNAjP79mDMEDaBTZ91SpkMLgT0SNiaCciKkfbxo/H9TNnCjunWDk5waWETYgKZtmjT5xAXUtLeNavb3C/E/Hz3CpS6PKw41RynxhR254f4cVneXKUz5WivFieag48mzVDjFIptci8GBWFmPh4aZEyEVFZMbQTEZWTnPR0pMfFQSNvXe/VoAFe2r+/VN/7o5i9TkpCczc3g/x9ZCQkQKFSwdpZdGl/MLFQdRsgdcxJK4zxarnC3QqeUKK3vPmSOVDb2eHVc+dQG4AHgL9HjULsiRP6HhYRGSGGdiKicpB56xZ2TZuGCxs2SJ+LgPvamTMl9mQXEq9eRf3UVDRv3RruZ84Y5O/jq/r14ejnh+dEicxDqIt0j8mXLM/Riz4qorpdIX1kHj1kAIVCAa1SKZUDic46njodbp07B02uWK5LRFR6DO1EROUg7OBBHP/mGym0egFo9NxzIrGV6nuPfPQRrK9cQZdt26SQZ8xEYL+zFZRYfCpehPwF4LA0D+8BjXSMiPJmw8kJuq5dpUXJovvO+tGjkZ1sVmeAiMoBQzsR0WNKi4vD6R9/lGq1XeTNhfovWlSqAJ66dy/cT52CjQH/Fg7Nnw9dVhYeXhiTL1G+ibie397RWi6NEZXuQIDc7tGcIquVWLz75ptSaM+TL7z7Z81ibTsRlQlDOxHRY8pNTETs5s1SNPUGUH3RIqgcRR+VkmkPH4bm0iU4L14MpYNolmh4Tq9aBUetFn1WrizxWLHgUoRTFNazi+aPGYUxPk+O8rYwLzatW6Pqiy/CX26JeXzZMmlnWCKi0mJoJyJ6DLkZGdjUuzcaAegHoNPnn8P1lVegsBQdU0qmK9is6IknSv09+uChVMKrc+cSj7MocmHxkH66/I4x+T9pftd2USjzN8yLyssLjrVrS7XtqXK3oB/ai91iiYhKh6GdiOgx6NLSYB0eDnfR3FCthtrPD0rr/GaHJcncsgURM2eiy48/wqtJE4P8PeRlZaGLVotqtqWbG88psshU84BQL2TC/Di+9Rashg6V33MAkkLFuxBERKXD0E5E9IiybtzAzapVpZIYEUZdpk2D49ChpfpebXY2rkVE4ICjI7Lc3ErVZUYftg4fjozgYLQKDS31ItmCSvY7n935WHSPEV8x3PcUKo5CrYaPnx9srEQhFaDNy0NyeLi+h0VERsIwrxJEREbgao8esMrOhiuAGC8vKOvWLfX3Zly7hnMTJqDea6+hRv/+MFRi0WhZK+1FJBXlQuLFTEFZTD5b/AcLnJfLZMxR288/h3eDBtLHGfHx2FDKF3lERAztRESPIG39ejjdvi1Va4su5CmtWsFh5MhSfa8mJweHV6xATmAgqnXsaNDnvxqAm2Xsq66Ty2Sa3ucey2Ih3jzVffFFWNjk9wtKiYzE1R079D0kIjICDO1ERI8g9ocfcP7WLfwDIN3HB40mTy719+ZlZ+PgggWwCwpCrV69DPb8J2/ciNRjx+AxezaUcsgsraK17Q/u426eWk+cCLWtrVQmpAoLk84zEVFJGNqJiMooeeFCRB8+jCsAwq2t0X7nTtTo0qVU36vT6bC2Vy8416iBrvPmGfa5P3sWaeHhCOjXD6pSdrYRjS5byOUx+XugQo7pVUVcRTqcpLaP5m64mF1XKKR3ajK2bEHaL7/oe0hEZOAY2omIykCn1SI5LAwxyclSXbbS0hIujRqV6fsjTp6EpZ0d3AIDDfbci3GGarXSXqZpZbyo2AOwK+zMLijk4G6PPFiwQAaAT9Om0nkQXXRC4+ORGBXFzZaI6KEY2omISkmbk4NTixdj5cKF0mLKbABTo6LKdP6W1KkDpVqN18+cMejznrVhA2I++QQaJycoLAoaNT6cNjMTqvR0KYyKFzS5hctSreTLjZhjz69pz++fYt7sPPI72YsXONlvvYXU3bv1PSQiMmAM7UREpSTquy9Pnlw4g+zdrBmUpQy0QlxwMPIyMuDXqpXBtngskKbTIUFsGPX99/CoX7/E47VpaUieNw+uCxbARez4CWCXdIl5AsCTADoAcCqsdDf3Ehnx/83rp07l76ArWmDqdNBduABtlrn21SGikhj2VYOIyIB2Pj25bVv+7qWywevXw0LuuV0af06eDOfoaAzftg2GLla0tCxl1xhddjZuf/EFLs2ciSSxuFLuw55/gcku8ih39kstSzcaU2VhawvXvn2l7jwiqgdPnoysyEh9D4uIDBRDOxFRKWSnpODA3LlSVxSh+dixsHVzK/W5u7h5MzIuX0b3994r0+y8PqRHReHy//6HgF694F2Kev3c9HTs/b//Q0zTpkjt0QMXRN/6wkKYrCLBXVxyFNLusUGV8HMYOmtnZ7SePl1aMyDevYnjixkiegiGdiKiEmg1Gmx84YXCz0Vg7zp7thS6Sit0/364hofDc8yYUteI60tafDwubNsG/7Zt4Va7dondcLYOHSoFddSpA+fWraV3I+KlICoWoAbIM+xiBvk/ALdhC8A/NRXxEyfC3LnVr4+2b76Zf07EGRo9WurjT0R0N4Z2IqKS6HQI/Uv0UcnnXreutIiwtK6uWwfrlSvRfeVKWPuLaGbYdGUoX/mhfXtc3LUL7vXqocfChYWlMSKu53OSu7OLZamieCZXqmdPyc3FwUOHYO5sXFzg0KCB9A6O2FlX8fffgPZO3x0iogIM7URED5GbmYkF1atLwd0HwJARI9D6jTfKNEtvm5AAj8xMWFepAoXasLcWEjPneZmZUKtUsCqhN7s4N7dDQ2Hj54dXT56EvZcXouVZ9jv7nhatZ7dEKyjRQ7zwkWvfCXAfNQrOEybgCICjAOYbwQs7Iqp8hv0eLRGRnv3UqRO0kZFSl/EqNjbw9vcvW8eY//7DqQkT0GHBAth06wZDl52cjFVt26LtkCFoO336A49LjYnBL/37IzcqCm/l5EAlvxi5E9YFMWN8AEBEYQPIHGikY8TLAcN++VJ5RLmUpa8vvG1tEZORgYyMDCTduAGXmjX1PTQiMiCcaScieoBoMXt8+za6ioWTVlYInDgRrrNnl/p8ifZ9lv/+i8ZVq8LSiAKYeEnysGr9pJAQ7Bo1CknHj6Njjx5QKu4Uw9zLqlg8V8sbComFquHlOmrj5jx9Oqo+8QSqiBc+GRn4uV8/fQ+JiAwMQzsR0QOcXLAAVlevwgFAS2dn1P7sszKdK+2tW4h5912k9+gBmwEDDP48i9KYo4sWoZ5cvvIgN0TLyj//ROcXXkCLX3994MLaKlJlu7V8yz/GR+4nIzanouI8n38eGmdn6T2JjIQEXNiwgaeIiAoxtBMR3Ufq1q2oevAg/ETkVCrhuHRpmc6TTqNBwsSJsK1dGx4vv2w05/jM7Nlo6u8PrwkT7nt/VnAwdKtWoSqARmPHwtJJLDS9P3+pECZMNJGUS2XyWcu7gLI8pjj70aOR4CqWowIZ8fE4+/PP5fRbJSJTwNBORHQfYndKh9BQaRnlnwoF7AYNKtt50ulwYtMmHPfwgFubNkZzjsVMuLWLC6w6iB1M7yMmBrbHj8P73Xdh1azZQx8rRwrtiXKf9vzQHiVXuYsNhcx9V9T7Gbx5M6zlBcCiTejRr77S95CIyEAwtBMR3VUikrJ9O2JnzZJCpdgZdPCFC8BD67bvFVuvHiI8PdHPCHY/LZSXJ5XF5KpU9z0v2aGhuDBoENzHjIHfRx9B6SAKh+4lmmGKDjHjMaVY88eCi06GXCJTfNEqSeeuQQO4yIt6s27fRnJEBHRsAUlEDO1ERMVprlxBZL9+iM3IkHaojHd3h5WbGxRlDO0Xb9+GwscH1g8pHzE0F2rVgqetLXyOH7/nvpyICFyrWROHs7JwzssLSmtR5HJ/IoyLs/Udlt91mVHAAgqpPIbuT/x/NipKvB+R79/PPsP5tWt5uoiIM+1EREXr0DNOnkSUWJAJYBeAPtu2wcbNrUwnKeb0aRzVavHKiRNGdXKdtFqkiuCovPdN2L8aNsQlS0vUevVVdHtIBx3bgk2CADyH14rVsgM2CGvQBEkl9H83d6KlqHfTptLHYvmu5vJlaNPS9D0sItIzlscQERVp0Xhk2DBpcyBRvlGtUyfYlmHn0wK/v/wyaouWfWWcndc3sTHSjft8/cLGjTiZk4NwLy/0XLz4oY9RDUA7ufvM/X76nl99BVv3h/WmIbWtLZ5ZvVo6EeJdibhZs5B5+TJPDJGZY2gnIpJrtvfPmIH/AESKziddu6Lf11/DpUaNMp2fM6tXIyUiAr3mzy9zSY0+pS1dihPJyQj45JNiXz/144/Y+uqryM3NRaePPirxcTTyrXhVvJgv9gakZpKib0w+7oj6YHbe3mg6erRU/x8qetrPnw9NuujCQ0TmiqGdiEh24rvvpGIOUSLi3aIFPOqJkFk21//8E+5xcUYXSOM3bEBWaiqav/JKsa9f3bYNmYmJeG7jRjR96aUSH0ctb5z0d7HuMOJsOEpNIPPnjqkktq6u0rs14v9HT/Gy55dfgCzx/g8RmSuGdiIiAKu6dUOmHIpqdO2KJ955p8zn5diyZbi0eTM6bd4MSxcXozqvhwGk3PXOw38LF+Lazp14Yft21Onfv1TvHFjIYT2+WHcYET1z5XvufFUjPw/dX0DPnug5bRrs5RdDEa1asZMMkRljaCcis5ebmYnksLD8AKlQSAtPxUxnWWjz8pARFwen3Fw4+vtDcZ+2iYYqLysLmRoNVHZ3SlcubdyIfdOmoYpGA0/x89xncerDWEk17SLkq+QorygM7eKjuqL2/dQpxLz4YgX8RKbB0s4OCi8vxFhY4JY4g+HhyGWJDJHZYmgnIrOWFhOD1b16IelG/hJMn8BADFm/vsyPc2X7dgT/3/9hwPLlcC9h0yFDc2DqVEQePIgJFy9CZWkJXVYWbMLC0MPVFYN//x1ODRqU6nHykpNxIiEBf8nbKQFu8rLUAQC6ABDvPmiluXZRq63V6aDOFTPw9CBtp01DtcGDpXdBrufl4bs6dXiyiMxUmUL73Llz0bJlSzg4OMDT0xMDBw7E5btWtIuZqpkzZ8LX1xc2Njbo3LkzgoODix2TnZ2NiRMnwt3dHXZ2dhgwYABu3hT74xERVa5D8+cj7J9/pJlhlUqFNt27P9LjiPnk6rVrw91f1G0blyy5VEXQ5uQg4ZtvkD5tGjzHj4dNz56lfpzk7duR9M030oVFLJnUSY8q4nuuXCIjzpISznJbyDw5vNPD1W/RAoFOTvAV/49lZeHm32LFABGZmzKF9gMHDmD8+PE4fPgwdu/ejby8PPTs2RPpRd6umzdvHr788kssXboUx44dg7e3N3r06IHUVLG0K9+kSZOwadMmrF27FgcPHkRaWhr69esHjabgskFEVPFizpzBzcOHpXINEYiaWVmh8SNuG+8RGIhGS5bApnNnGCNPOVLrMjIQP3kyFPXqwapDhzI9hkIO43eKbLRyaBe322JZqxTTxbluLPd0F7Xv9HBuU6YgLyBAOl/uSUn4a8YMnjIiM1Sm0L5z506MGjUKQUFBaNy4MX788UeEh4fjhLyBiJhlX7hwIWbMmIFBgwahQYMGWLVqFTIyMrBmzRrpmOTkZKxYsQLz589H9+7d0bRpU6xevRrnzp3Dnj17KuanJCK6j+iTJxF+8KAUhqqIAo5vvnnk8+Rcrx6qlGFW2lBc370b8bt3o+OMGbBxdUX4a68hpGpVVP3uO/h07Vqmx0oCECLPq+drAqCmqM4GkCgq5aU5+GT5GMtiAZ8exvmTTxBrZye97Im+fBknV6zgCSMyM49V0y4CuOAqL9gKCQlBTEyMNPtewMrKCp06dcKhQ4ekz0XAF/1+ix4jSmlEwC845m6inCYlJaXYjYjoccSePYszM2eiPYBAAA03b4bNCy+Y3UlNvHIFuqtX4dO9O7Y++yxOrV+PCGdn2LcXZ6ZsRKlLlFxuk0/0ZhcbKdnKi1Hzl6eKCvlUuWPN9XL+eUyVU58+sLGykt67yImPR+RRsWcvEZmTRw7tYlZ9ypQpaN++vRS4BRHYBS8vr2LHis8L7hP/WlpawuWudmhFj7lfLb2Tk1Phzd8Ia0aJyHCIv1+alBRYh4fDD0AdlQpOQUFl7pBi7HRarXRzVSoR+9RTuLJrF264uGDUI9ZMi7NX/AyKshitXDijlnu0K5FqYSF9Jmbb2Xm89OpeuoRqCgWcAASvWoXj3333SL8nIjJOj3yFmjBhAs6ePYtfxIYPd7m7l6+4QJbU3/dhx0yfPl2a1S+4RUREPOqwiYiQER+PDR06wEOOkTVEX/WAALM7M2EHDuDvN96A76xZOFS/PjK0WkyKioK1k4iFZaeVb4LYlkqFTAAHAWwA8KfY11Na8tpGdOqxsJDKY0R4p9JRubhIE1yi0CgrO1tq1UlE5uORQrvo/LJlyxb89ddfqFJFVILmE4tOhbtnzOPi4gpn38UxOTk5SEpKeuAxdxMlNo6OjsVuRESPQkwQaI8cwZNyPbW2enXAza1UGweZGvGCpbkobXz/fWlBrl+rVuX2boO0cVLh7LqI50XOr0KBLaJNpij1KJdnMw8KCwtUOXGi8EwmXb+OzLuupURkupRlvdiJGfbffvsN+/btQ40aNYrdLz4XoVx0likgArroOtOunejVCzRv3hxqtbrYMdHR0Th//nzhMUREFUarReTAgVKnFNHPJHXcOFi3bWuWJ1xEaQe5a0zdfv0wfMcOqNSPN/ctvttHlDxKFxjxDJZycC/+uOJ56RHOr60tggYMkIL7kcWLEXX8OE8jkZkoU2gX7R5FpxfRCUb0ahcz6uKWmZlZWBYj2jnOmTNHaukogrjoNmNra4thw4ZJx4ia9DFjxmDq1KnYu3cvTp06heHDh6Nhw4ZSNxkioooU//77sNPppMINy9at4d2tm1mecM2tW0hZvFjq5OI2eDD6ff211D3mcYl4HiDfFDgrl8SkFSmcyaeT2z5GnziBa3+K0hkq1fl1dkaradMKZ9uPffUVMhJFwQwRmTqxnL/Uvv76a+lfsWFSUaL1owjnwttvvy2F+HHjxkklMK1bt8auXbukkF9gwYIFsLCwwJAhQ6Rju3XrhpUrV0obmxARVaSwH37AJZ1O2vyndr168Day3UvLiy4tDdmbN0t9XWp16gT7IqWOj/W48qZJ4gaEyvP490qTO80kXr0qzRbX6tWrXJ7fHOiKvAS69Pvv6LVgAWzdxO6zRGTKLMpaHlMSMdsudkQVtwextrbGkiVLpBsRUWWJHTgQMQkJ0tyve9OmaPv552Z58qW/5TqdFKwthw+H+4gR5fK4oiSmmzzbnn+1sCqM73cToZMbKz0av5Yt0W32bOydMUM651EdOsD5+nUorMT5JiJTVabQTkRkzG6lpCDJzg6atDRYu7jAxl30EDc/2lu3cLZ2bexSqdDU0xPKclrcL+otreTbPjs75KVnyDXtRS85Cmkh6ntpaXe+j++ylomFtTXsfXyk9Qe3c3NxPTISdVJTYcHQTmTSzKspMRGZtXr79mF4UhKqduqEF/fuhbmKDAiAJicHvh06oNf8+eX2uKITjOhlIra/e+HwYVg62N91hK7wHVkRMAtuSgvOH5VV05deQovXXpM64UeKTapqip1niciU8S8lEZkVMas76q+/YK5u7N2LS7m5UrAuueCxbMRyyIK+YOPK+bHpXl6NG6Pu009L5Ui2NjY8RUQmjqGdiMhMxGzYgK0TJyInIwN5jo7oPXJkuT6+Z1AQOr7/vvSxrYfYuqqAWIwqNmzyFPeU63Oas2Zjxkg3IjIPDO1ERGYic906aGJipKWhVk5OUolFefJq1Ei63b8S01n0qZG3tCIiorJiTTsRkRk4/u23+GP3bjy5bh0U9vZF9yetBKIQJ1e+lXdRDhGReeBMOxGRiRO9vHdOmgRNbi4cAwIAlQqWlbb4U1Fkfij7nk2WiIiodBjaiYhMmDY3FxkxMXBVqzFg/XpsGTNGqmkfd+tWJTy7g7w3alUAjnJor9w5fiIiU8HyGCIiE6XNy8Ol1atx/rXX0HryZFTp318qTnERdyoqIzzr5KCeI8+wiwWpDO1ERI+CoZ2IyER3PT2xdCmujh6NdjVrok7LltLXRWTuUGmjEDPs+RtY1cBZVMUhAFmV9uxERKaE5TFERCYq+e230cjHBz5Ll8K6Tx+c/OEH5EVGouqcOZU0giCpW0w1nMV4fIQI3Iar9DXXSnp+IiLTwZl2IiITFD1sGAKtrOC1aZMU2IXkHTvQKiEBTi+/LO1KWvFEc0kdkuCJWNRDN4TixOSXkZGQUAnPTURkWhjaiYhMzK2hQ3Hu11+xRaWCbevWhV/3lLulV15Vuahl1yEFzliG17AenRF28iS+adpU6mRDRESlx9BORGRC8jIzsTUqCpdtbfFqZGTh17VZWbDOzYXf0aNQOIndSSvrEnMUwCak4y/8jA5ItauHtMhIfFmlCvJSUytpHERExo+hnYjIRGQkJmLHmDEI+/tvjDx3DpZ2d3YfTfnsMyT+/jt0anUllcYIlgDU8r8K6KBE/+07UK1zZ2TFxWFv69bIiIiopLEQERk3hnYiIhMRvH49TvzyC/w7doTa1rbYfaLZ4m25YKXyRIuXCwA0xS43I/fuReDAgThz8SKChw5F3sWLlToqIiJjxNBORGQCboeG4sq2bajVpw8G/vgj7Dw8Cu/Lu3ABofv3w2rwYFh5e1fiqA4DuCq/XBCLUvOJmf5nfv4ZTV95Bbf+/RcxEyYwuBMRlYChnYjIBMpiNr/0EtK3bUOXPn3gUrNm8fsvXMCl/fvhPngw7Co1tKsffI+tLTp8+ils33gD1/ftw4WXX0bmzZuVODYiIuPC0E5EZOS7nq7u0AH2+/cjaPBgeA8des8xmQD0s+TT+qGXGWsXF7ScORPVX34ZVocOYX23bshJT6/UERIRGQuGdiIiI6bLyYHlpUto3bEjWq9cCZW7e/H7dTok5OUhUqmsxAWoBUQ9u/auS47inuDuv3gxrAcMgOWVK1hcsybbQRIR3QdDOxGRkdJER+OGry/a+Pqiyv79sLhr8amQcP48fh86FO1nzEC9Z56p5BHq7vr8/i8alDY2qLp5Mzp27Yrs+HgsrlUL6XFxlTJCIiJjwdBORGSkovv0QXJKCpLatXvgLLpO7t0ChUIPM+2lJ8bmt3cvavbqheTwcPzcty8Sr4pFrEREJDC0ExEZoYxdu3AuIQGxL7+MNuvWPfA4Edoda9aEX8uW0O+lxhFAdQA2Dz1yyJYtaDR8OKKOH8fxZcsqbYRERIbOQt8DICKisoncvh0n3nwTlyMjMeHTTx84g56bmYm/Z8+GT9OmqN2vnx5Ps+gS7wqgHgD7hx+pVuPJr76CtZMTQvbtQ8S//8L/iScqbaRERIaKM+1EREYm9MQJnLl2Dd2WL4elg8MDj9NkZyP4IbPwlaegSCf3PnXu97J2dESXWbNQo317XBs9GtnnzlXKKImIDBlDOxGRkRCdYK7u2IG/589Hr6VL0XjkSGlm+mGcATyht1p28YKiOYA+ADoAcLqrm8yD2bi6wikwEJeuXMHZ7t2RGxsr/fxEROaKoZ2IyAiIwHrz8GGs7d8fbcaPR8vXX4fK0vKhxy/y84NHUBB8f/mlUsdaZBRyxxhLuWe7eIFR+hcQrSZORLXx42GRmIiQqlWRnZRUoaMlIjJkDO1EREYgJzUVP7RrBz87O9Tz9YVCWfKf73q5ufARXWMsLPQY2rPF6OUZdlWZQrtSpcKTS5dC9cILsNZq8V1AAG6xowwRmSmGdiIiAydmzUM3b0YtR0e0/vBDeI8fX6rv87e0RMNevaA/vgBc5PAuNlqKkkN82TRatQr2L72EJsnJ+KV3b+kdByIic8PQTkRk4G4tXIhLr7+Ofp9+iqCpU0v1PScXLICDlRU8vvgC+tMEQF25tj0RwAk5vJedy7ffou477yD9xg1seeUVhP3zT7mPlojIkDG0ExEZuKzFi2GlUsHp9ddL/T0WixbhhkbaVkmP8uRZdgu5rl3cHm1RrGhr6TZzJgZ8+ik8z53DtnHjEHnsWLmPmIjIUDG0ExEZsEuvvILUyEi0OXCgTN/nCeAC9C0LwHEAfwL4T55tf/QOMCorK9SZOBEBc+Yg7vx5HB88GJk3bpTriImIDBVDOxGRAdJpNEiYNg3HfvgBXsePw6mJKDUpnXP9++P2zZt47do16JeF3Js9Tb6JmffHo7C1RaOpU9Fu2jScDQ/H7saNkXvrVrmMlojIkDG0ExEZoJDvv8e++fOR6uYGpYvLA3c9vZ+8jAxs1mqhdnSEflkUafcoOseUD9Hqsse8eWg0ejScsrJwzdcXuZGR5fb4RESGiKGdiMjAZN2+jSuXLyMmMBADt2+Hk79/mb5fFKH4tmsnCsErbIylI2bAM+SSmPK93IgXMU99/z1yX3gBmXl5iOjUqVwfn4jI0DC0ExEZkJy0NOyfORPXd+3CgO++g29zsaNo6YUeOICQiAgMXLOmxN1SK57o8HIJQJJcJlP+uq9ciRoTJkCTnIxLW7ZUyHMQERkChnYiIgOh1WikriiHFy1C1SeeQPXOncv8GBc2bEDk1auPsdyzPD14x9by5Dh3LoITEnB2wgRc/vXXSnlOIqLKxtBORGQgdFotzq9ejYYNG0oLLY2fVaVcZpSWlmixZg18IiKwffJkXNm2rcKfk4iosjG0ExEZyK6nm5o2hYeXF/ru2QO3wMAyP8aZn37CqR9/xLNr18LRzw/6lyrePyjyeU15o6XypVCp4Dd4MKr9739QRkbitxEjEHX8uHROiYhMBUM7EZGeadLSsLp5c/hdvoyxYWGw9hRd1ssuJz0duenpsHV3h9JCdG7Rt6KBHbC1tYKFRfl1kSlKYWEB/2HD0GPxYlimp2N5mzZIuXKFwZ2ITAZDOxGRnoW+8gpanDqFsAYNHitsi2IUDz8/WDmU/2z24xFdbGwwZUodNGpUcWNTKJWoP3Eimr33HiysrPBPvXrIPXOmwp6PiKgyMbQTEelRRnAw0sPCkN2rF5795x8peD6qwFq18NKKFfBr1QqGRfRpr4NPPrHDyZOPv8FSSTp/9BHaTZ2K05aWiOrRo8Kfj4ioMjC0ExHpSc7Fi7g8YQKifX0R8OOPsLC3f6zHs+nRA7a9esEQLF16BNnZGvkzUVuegwEDLFCtWsWUx9yty6xZ6Dp7Nq5kZiLh228r5TmJiCqSIRQ9EhGZnYyICBx86SVcOnIEXX/+GQ4+PjAl33xzHDk5RUN7Hvr2rbzQLrSdMgWh7u5ImzwZyuxsuL7xRqU9NxFReeNMOxGRHmSkpODYkSOoMXYsaj35pMn9DjZvfh62tr4iOgMQJSrNKqRzTEm7pno/+SSOJCXh0ocf4tQPP1Tq8xMRlSeGdiKiSpaRmIjv2rRBwNNPo8+SJbB2dja534G/vxOUSoW8PFaEdTu9vLlr7eaGDvv3IyI9HcHjxuHqli1SP3wiImPD0E5EVIlSbt7El1WqoEqbNnhu40apy4kpat58FdLSRClMDoBcuUSm8omFvT4dO2LA2rVwsrLCmqeeQuj+/QzuRGR0GNqJiCpJ9MmT+K5lSzhbWGDk7t1S+YbpagOgqzzTLkJ7EoBMvYxEnGebZ55B0BdfwM/dHT9164ZrO3fqZSxERI+KoZ2IqJL89+67qBITg25jx5rBORcz7AW7oIpLzXUACXodUc2xY9Ft9mzYOTtj3cCBiP7pJ72Oh4ioLBjaiYgqSSCAXrNno+68eWYS2nXyTQ3A0iAuOTVeeQW9RQtIhQJ/TpyIsMWL9T0kIqJSYctHIqJKEjh/Pixr1YLiMXY9NR7eAKIARACIB5AFoAoMQYMhQ2Dr5oaN3bsjaeZMOFhYwHXcOH0Pi4joofQ/7UFEZCasGzaE0sYG5kHsgip2P00FcEv+t6Bvu/7V6NoVw/75B+eTkpB64wZ0Ov0slCUiKi2GdiIiqgAiBFvIC1FFaYxhEYtTfZ94AoN27oTum29w6+uvoc0TLzKIiAwTQzsREVWAFADp8my7aP1YeTuhliW42/bqBbdly/DPhx/i0s8/Q5srOt0QERkecyisJCKiSncUwDWjOO8OI0eibWYmtkydiozMTDR/9VUTb8dJRMaIM+1ERFRBDG92/UG8Xn0VVQIC8Oe4cfhnzhx9D4eI6B4M7UREVAEyAGiN6sy2+/xzNHF0xIFZs7Drrbf0PRwiomIY2omIqAKI2nDj6sji1LEjuhw+LC1IPb90KS6+956+h0REVIihnYiIKonh14nb1KmDN65dQ7pWi32ff47rX3wBncZwWlUSkfliaCciokroeeAgt380bGIBqnP16hh75AicnJ2R8tZbSN+5U9/DIiJiaCcioopejOoLoD2AqkZxqkVw927SBO1//hm3qldHxsmT0KaL9pVERPrDmXYiIqpAoq5dlJcYX4lJ9Z490XbRImT98AOOz5kDDXu4E5EesU87ERFVQnDPM7qFqYLtgAFwt7LCmZEjsS8hAT2+/VbfQyIiM8XQTkREFUDUr9cG4AfAGYBa7ihjfMSuqZ23b8fSDh2QnJKCZ3/5Rd9DIiIzxPIYIiKqoMuLCO6Ocmg3/EWoD2PfrBnqKZUI/vVX/DZiBHQ643vXgIiMG0M7ERFVADGzDnl2PRfW1oC1tfHskHq/xalPRkXBysEBZ3/+GXsmT4YuK0vfwyIiM8LQTkREFaAjgLZijhpAKMaOjcfIkWLG3XhZOjritdOn4RoQgJhFi5C4fr2+h0REZoShnYiIKoCuyIy72mSWUDlXq4bB69cju0kThBw6hLyEBH0PiYjMBEM7ERFVAFEWo5X7tFuaTGgXfJo2Rf+vv0bq0aMInToVmrQ0fQ+JiMwAQzsREVVQaL8E4G8Ap/DHH4fx55/XTOZMe7Vpg4bffw/lf/8hasgQ6LTiBQoRUcVhaCciogqgAJAKIE66PfGEJ1q3Fu0fTYdHs2aoumsXFEeO4MeOooafiKjiMLQTEVEFXV4sCktjXFxs4OxsY3Jn2qJ6dfxhawvvQ4fwc5cu0OTk6HtIRGSiGNqJiKgC7AFwAsBteTdU0/VqaCgaVK+O0P37sXHYMGTeFj8zEVH5YmgnIqIKYD6XF4VKBe8TJ9CsTRtc2LgRu996C+nx8foeFhGZGPP5q0pERJXi8pYtyEgU9ezmw9LFBW1/+QUBPXvi5Pff49KMGdBwxp2IyhFDOxERlZuLmzZh+xtvIC3mptmdVefq1fHkkiUI6NULR5cvRzp7uBORvkL7119/jUaNGsHR0VG6tW3bFjt27Ci8X6fTYebMmfD19YWNjQ06d+6M4ODgYo+RnZ2NiRMnwt3dHXZ2dhgwYABu3jS/P+5ERKbm+u7d2DFxIpLDwky+jv1B3GrXRv9vvoFF69a4MWQItNnZ+h4SEZljaK9SpQo+/fRTHD9+XLp17doVTz31VGEwnzdvHr788kssXboUx44dg7e3N3r06IHU1Dtvk06aNAmbNm3C2rVrcfDgQaSlpaFfv37QaDTl/9MREVGlEJM2GXFxUEVG4vnvV8CtTh2zPfNixn34jh04nZyM03Xrsoc7EZULhU78pX0Mrq6u+PzzzzF69Ghphl2E8nfeeadwVt3LywufffYZXn31VSQnJ8PDwwP/+9//8Nxzz0nHREVFwd/fH9u3b0evXr1K9ZwpKSlwcnKSHk/M+BMRkf6IjYVCDxzAL927o6m1NZZon8WOrBpFjrDAxImtsHhxT5gTrUaDiGrVADs7eB89CisnJ30PiYgMTFky7SPXtIuZcTFbnp6eLpXJhISEICYmBj173vmjbGVlhU6dOuHQoUPS5ydOnEBubm6xY0TQb9CgQeEx9yPCv/ihit6IiMgwZN++jd+7dkVNZ2c0WrwY1n36FLnXDkAjAEEwN0qVCv5XryLVygrb+vdHakSEvodEREaszKH93LlzsLe3lwL5a6+9JpW61K9fXwrsgphZL0p8XnCf+NfS0hIuLi4PPOZ+5s6dK70KKbiJmXkiItI/8WZt1K+/opeLCwZ8/DH8xoy5+wgAuWZb4660sUGdP/+Er4UF/hw3Drdu3ND3kIjIXEJ7nTp1cPr0aRw+fBivv/46XnzxRVy4cKHwfoVCbF1d/A/63V+7W0nHTJ8+XXrboOAWwdkKIiKDcGzOHISOGwenatVgO25ckXtEKUhdAA3FiigAKpgrtY8Pan/3HXLy8vDnxIlIYfMFIqqM0C5mymvVqoUWLVpIM+CNGzfGokWLpEWnwt0z5nFxcYWz7+KYnJwcJCUlPfCY+xGz+gUdawpuRESkX5HTp0P3ySfItLWF68KFd91rC6AagEAAfiK6wpy51qqF3osXwz8jA7qHvLNMRFRhfdrFLLmoOa9Ro4YUynfv3l14nwjoBw4cQLt27aTPmzdvDrVaXeyY6OhonD9/vvAYIiIyDupDh6DMykKHY8dg3anTXfeKcpgssQJK/tx8Z9oLuAYGovWaNXBo0EDfQyEiI2RRloPfe+899OnTR6opF20cxULU/fv3Y+fOnVJ5i+gcM2fOHAQGBko38bGtrS2GDRsmfb+oRx8zZgymTp0KNzc3qfPMtGnT0LBhQ3Tv3r2ifkYiIipHutxcxL/5Jm4fPIiTNjZoFhBwn/kglVzLngPAWq5tJ1EqQ0RU4aE9NjYWI0aMkGbHRQAXGy2JwC56sQtvv/02MjMzMW7cOKkEpnXr1ti1axccHBwKH2PBggWwsLDAkCFDpGO7deuGlStXQqXiLAwRkaHTZWQg4bPPsPfrrxFbpQrGHDsGlfru0pfmRS4vCQBEdzAPAJycISLSW592fWCfdiIi/cjcuxcnundHSFAQev7yC7waioWmxQ0adAmbNlnJwf02gKuYONEVixd31suYiYjMuk87ERGZl+yUFBxavx7nRdf1CRPuG9jzicCeDOCGHNwty/rGLhER3YV/RYmIqETavDzsGzMGRzZsQI2uXVG1S5eHHG0PQGwkdBlAmJhLkts/EhHRo2JoJyKiEmk1GpzasAG+zZvjqRUr4Fy9+kOOFvtuqOUZ9gh5Qaq4ERHRo2J5DBERPZROq8VXQUFSFG/h7FxCYJe+Q+4eYynfHr7BHhERlYwz7URE9EBZyclY8cQTSLp+HT5Nm6Lprl2lOFv/ATgt5ud5ZomIygln2omI6IG2jBmD5OBg+Ldti1dOnIBCycsGEZE+cKadiIjuK/rUKaSGhSEIQN8dO6RN9EpHJde0Z/PMEhGVE06ZEBHRPeLOnMHO8eORd/w4mk+ZApW12NW0tHLuKo1RyW0giYjoUXGmnYiI7pF36RJq/PcfakyfDu9334XCqiyhO/uubjEFi1KJiOhRMbQTEVExyZcu4cqkSWj4xhtwee89KO1F3/XHIcpq+MYuEdHjYGgnIiKJTqeDJjoaCU2awCUvDypv78cM7CKs+wGoz82ViIgeE0M7EREVCq5eHUqFAtkTJsB5+vRyODOiTEbDXu1ERI+JoZ2IiCRJe/fCRaVCzssvo+HCheVwVnTyjbuhEhE9LhYZEhERUn75BX89+yzOWVmh1pIlj3lGxMJTdwC1AQSgWjV3dO9elu4zRER0N860ExGZuYxVqxD8zju4npyM3v/7Xzk8YkForwPAFYGBdhgwwKYcHpeIyHwxtBMRmbljR4/iTGwsnt6yBbX69i2nR82RWz+K8hgiInpcDO1ERGbcLeb0Dz/g4A8/IE+phGeTJlAoy7NqMkeuZy+60RIRET0KhnYiIjMVuX8/9owdC4W9PV7avRuOVaqU0yO3kv/NBBADIARAz3J6bCIi88SFqEREZigvOxtRwcGApycG/vgjqrZvD4VC9FUvD1q5LMZC3gmV80NERI+LoZ2IyMxoNRocXbIE2ydORP1nnpFu5Uv0ZU+QZ9ij5Bl3IiJ6HJz+ICIyM/s++AAH586Fa0AA6j39dAU8g5ixvwngouhNA6BmBTwHEZF5YWgnIjIzx5ctQy0PD3RZswZ+rQrqz8uTSi6LEbesCnh8IiLzw9BORGRG3WLW9O8Pm8xMPH3mDOyqVavAyks1ACs5uBMR0eNiaCciMgOanBz8OXIkArdvRy1HR9hWrVqBz3ZILo1hq0ciovLChahERGbgv7lzoVu3Dn7VqqFleHg5doq5H/HY3FSJiKg8caadiMjEaaKi4Hb5MhwBeGzaBKWj+KgicT6IiKi88S8rEZEJy4uLQ9y0aUj95RdYDRwIpZdXJTxrzl0z7RU5q09EZB44005EZKJ0GRlIGTMGt/74A+qBA+G7cCEsfHz0MRI9PCcRkWlhaCciMuHFp4f/+AN5Xbui59KlsPbz0/eQiIjoEbE8hojIBGnz8nC2bl2cBZDt7l5pgX3u3H+wbdtV+TMbAE0BtK+U5yYiMmWcaSciMkGLAwNhHRcH7y5d8OzatZX2vBkZucjJ0dzVRUb0bCciosfBmXYiIhMTd/48cjMzYdutG0bt21fB7R0fRjxvrijU0dPzExGZDs60ExGZkIhDh/D7mDFIj43FC+HhehqFKItxkW+iWw03WSIielwM7UREJiL833+xbfx4JFy6hE4ffACFSqWnkdgDqAPAF4Cd3AKSiIgeB0M7EZGJiD17FrFnzqDHZ5+h1cSJUOottGvloK6Ra9p5qSEielz8S0pEZOR0Oh0ijx7FXx9+iE4ffigFdrWNKFHRh1oARC948YIhDZD614ja9sF6Gg8RkWlgaCciMvLAnnjlCn7q0AH1ADT38dFjYC+4rNjIfQ4yxJ6s8o2IiB4Hu8cQERl5P/av6taFq1qNZu+/D8fXXtPziDRFusWIVo+cGyIiKg/8a0pEZMRiduxATRsbNJo8GdU+/FDfw5FLYcQMeyaAFADpvNQQEZUDhnYiIiMVvGIFEiZORAc3N1T/5BMYBlsAIQAuiJcU8kLUmvoeFBGR0WN5DBGREUpcsgSR06bBLzsbrosXw3Ao5PkgS+6ESkRUjjjTTkRkhHT//gvV7dvw2b8fth07wnBcBvAfgCwpuPv4WGPZsr76HhQRkdFjaCciMiI6rRbpn3+OxE2b0FIE9g4doFCI2W1DkQ0gVS6LyYGlpTMCA930PSgiIqPH8hgiIiOhy81Fwo8/4tK77+KCnR1y3d2hUBran3HRn73omER4JyKix2Vof+2JiOgBci5dQvDLL+Oovz8a//or3IKCDPBcKe66tBjSuwBERMaLoZ2IyAhocnJwfMMGxFSvjq5Ll6Jmt24wTKI8JlffgyAiMjkM7URERrDr6Z4pU7Bn1ixYNG2KugMGwHiwPIaIqDxwISoRkYHbO3Ikjvz8M5yqV0f7jz7S93CIiEgPGNqJiAx8lv3CwYOwsLPD6IMH4ejnB+N5I7cagIb6HggRkUlgaCciMlB5WVlYM2AA0hITMTUqClYODjAeBQtQxSZLRET0uBjaiYgMUOatW9j+xhu4sXs33rxxw4gCu5hht5FvtmIJrb4HRERkEhjaiYgMTEZCAva9/z6u//wzAp54AmpbEX6NhR2ARnJpjAuANH0PiIjIJLB7DBGRgYm/eBFnv/0WTXr2xDMrV8LeywvGQyu3fNTKnWM4N0REVB4Y2omIDEj2rVu4MXMmenTrhtZLlsC2Vi0YnzyxFZQU2rPjb+HS7Nn6HhARkdFjaCciMhDavDxs6NQJTvv2oWpAAJxq14bxqQ6gPgA1gAtQZmxH6qefInjePH0PjIjIqDG0ExEZiOA6deBz/jyqPPEEPL78EsZGq9VBq7UCYC+H9lwokQHPzEyEfvghTq9ape8hEhEZLYZ2IiIDoImLg9utW7Bq1gwe//wDpZ1Y0Glc1q2Lx5w5IaL3jXx5sYCqWgBstm9HdHY2MmJjkZedre9hEhEZJYZ2IiI9y7p4EbHt2yMsLQ3tjh2DQlHQ49zYOMiXlcMAIgo7xzi7uqJVQABOvfMOTn77LYM7EdEjYGgnItKj3JMnceHFF3H26lVkjxwJGG1gL6CSN1Q6CuAsgFRYtmiBWt99B/+6dfHnm2/i8MKF0GlFdxkiIiothnYiIj2K27EDZ48dg/rtt9H+q6+MeJYdcotHhVzPLmrb7/wstl27ouFXX8ExIAB7pk+HVsNNl4iIyoKhnYhIT8IPHsSOH35A4Hvvof3778PC2trIfxe3ABwHcENsESWH+DtqdO2KFr6+UOt0+PXZZ/U2SiIiY8TQTkRUyXQ6HW5duYINgwbh5o0bcAwKgpWDqAc3dmIBapxcyy56teOedw5arl8PKy8vXP7jD6zp1086F0REVDKGdiKiSpaXloZtQUFIS0pC548+QtBzz5nI70DUqd+pVbeyUuHy5YnFjrD09saksDBYOzsjdPt2HBB1/EREVCKGdiKiSiRmluMuXkSoSoWW48ah88yZUKrE4k1TIGbVVcUuLWr1vZcZCysrTLxyBQqdDorERGTHidl5IiJ6GIZ2IqJKdG3nTvzYuTNavv46+ixaZGLnPlsujSm5M4zK0hK+3brhhFiIO2kSciIjK2WERETGiqGdiKiSnFm9Gr8NGybNrPdesMCsz7uo4R/000+oMmgQwn75BVHTpiE3Pl7fwyIiMlgM7UREleDUypXYPW0afG7fxsDvvzeDc+4OoOlDj3Dw9UWvBQsQ+PTTyFq7FjqGdiKiB2JoJyKqBDGnT8MqNhY9/vgD9QYPNoNzLtpXepZ4lFPVqkitVw9hAOIHDYI2Pb1SRkdEZGwY2omIKpDY+fPqjz/C4euvMXLjRnj37g2F0hz+9IqWj6XbQKn1++8jb8AA3Lh8GT/WrAlNbm6Fj46IyNiYw5WDiEhvog4dwunRo+Fhawu1uzsUJtMp5kHdYywA2Ik9UO/ZXOlB1DY2eHLzZjTo0gUt4+OxvG7dCh8pEZGxYWgnIqoguuxsWJ48iVo+Pqj6/few7djRxM+1GkAggB4Ausl17aUjNmFy2bcP9nZ2aJ2RgZgzZyp0pERExoahnYiogspiUhcsQPLcufCYNw82zzxjJudZK5fF6ORZ97LRjRoFTUwMfhs6FOH//lshIyQiMkYM7UREFSDmnXcQO306wgMCUGX4cDM5xy7y7HqOHN5FuUzZ1FywAB7/93+wvngRO8eNY3AnIpIxtBMRlbOU117DwUWLcNDVFUGLF5vR+RW17DUA2AMIBbC/zI+gsLBAlbfeQsfPPoPm7FnEX7xYISMlIjI2DO1EROVIp9PhwvHjuK7V4pkzZ+DVrJnZ/Nw6ad2pldzuUeyOmvBIj6WysYGqcWPcArD77bcRefSo9PhEROaMoZ2IqJzkZWXh2vDhOH3yJCaEh8PBz89szu2ZM2kYOfJ8kVaPuse6xFTv0QM9Fy9GXloaVjzxBNJiYsp1vEREZhXa586dK634nzRpUuHXxGzIzJkz4evrCxsbG3Tu3BnBwcHFvi87OxsTJ06Eu7s77OzsMGDAANy8efNxhkJEpFea5GT88/bbWLNmDXICAqTZYvH30VzodNbQaJwAHAWwCcAhABmP/Hiil33LiRPRdORI6PLyEH/hAmfbicisPXJoP3bsGL777js0atSo2NfnzZuHL7/8EkuXLpWO8fb2Ro8ePZCamlp4jAj5mzZtwtq1a3Hw4EGkpaWhX79+0GhKtxEHEZGhiT9wAFeXLIFvq1YYvnMnbFzEokxzImbWFXLbx7J3jXkQrxYtYO3mhp969MClzZvL7XGJiMwitIuQ/cILL2D58uVwKXJhErPsCxcuxIwZMzBo0CA0aNAAq1atQkZGhjT7JCQnJ2PFihWYP38+unfvjqZNm2L16tU4d+4c9uzZc9/nEzPzKSkpxW5ERIYiPT4eB9esgbpDBwxYvhyuAQEwTwVtHq3KrfqyxWuvoefnn8PSzg57X3gBGd9+Wy6PS0RkbB7pr+r48ePRt29fKXQXFRISgpiYGPTs2bPwa1ZWVujUqRMOHRJvlQInTpxAbm5usWNEKY0I+AXH3K8Mx8nJqfDm7+//KMMmIqqQOvbfhg/HjXXr0Lh9e3jd9e6j+UgD8J+4Esgf67BixVPl8shNX3oJz6xZI03gnF++vFwek4jI5EO7KGk5efKkFKTvJgK74OXlVezr4vOC+8S/lpaWxWbo7z7mbtOnT5dm6AtuERERZR02EVG5E+8uikWS13ftgnenTqj/xhtmfJZzAUQDSJL7tOvQv3+dcqvrr923L9IVChy5cAGXpk8vl8ckIjImZSo8FGH5zTffxK5du2BtLVp63d/df6TFha2kP9wPO0bM1osbEZEh0ebm4tbFi+gcFIR227ZJJRzmSyFfUnKKfF6eD6/AxKtX8XOdOlDMn49EDw+4TZlSvs9BRGQqM+2itCUuLg7NmzeHhYWFdDtw4AAWL14sfVwww373jLn4noL7xMLUnJwcJCUlPfAYIiJDlxEbiyWBgaimVKLTuXNmHtgFzV3dYrqW64JUManjXL06Rh4/jiRHRyhiY6HLePTuNEREJh3au3XrJi0YPX36dOGtRYsW0qJU8XHNmjWlUL579+7C7xEBXQT7du3aSZ+LwK9Wq4sdEx0djfPnzxceQ0RkyBKvXsW+/v3hHB6OHh06mFVrx9LbK/dsLz/iPDs2agS/hQtxfd48RH75JXLT08v1OYiIDFWZpkEcHBykBaNFiT7rbm5uhV8X7RznzJmDwMBA6SY+trW1xbBhw6T7xULSMWPGYOrUqdL3ubq6Ytq0aWjYsOE9C1uJiAzRla+/hvuxY2gxfDjcV6zQ93DMjkWdOlA2a4arH3yAm9nZaPnBB1BZWup7WEREFar83ruUvf3228jMzMS4ceOkEpjWrVtLNfAi8BdYsGCBVE4zZMgQ6Vgxg79y5UqoVKryHg4RUbnKPXQIPnv3wm7CBLjNng0Fw+J93sB1A1AFQMX8Tfdp2RJuy5Yh4ZVXcOaTT6B75x2AvwciMnEKnVgBamREn3YxYy86yTg6Oup7OERkJnLOn0f0M8/Apnt3uH38MVSurvoeksE4dSoazZp9K88FVQXQDMnJ9eHoWD792u8neMAAnNu6FTldu2LEnj0sUyIimHKmrbi/pkREJiQnLg7nu3ZF5JUriA0IYGAv4vbtLPTuvbrIZUVb/t1j7iPwhx/QoFYtJOzbhx86dKjw5yMi0ieGdiKiEog3JLOSknDu1i04vP46Grz5Js9ZEVqtDnFxok+7NwC1fKv4N3Et3d0RdOEC2vv6QhcVhew0sakTEZFpYmgnIipB1pkz2NuoERyHD0fDZcug4PqbBxBte/sA6IS6ddVQqSo+uCvUajS9dg2xISFY3asXUiIjK/w5iYj0gaGdiOghbuzejQMdO+KmiwueXrmS5+qBdHKvdlEao8Wvv9aEnV3lNBdQqlRo3rcvIg8dwrZXXsHtGzf4eyIik8PQTkT0EH/NmIEjaWlo/tZbPE8PJMJ5fQD+cmgPA5BdaedLtHvs9NNPaDJiBK5u347Qv/7i74qITE65t3wkIjIVRxcvRsK1a3jqhx/Q+MUX9T0cA5//qSN24hBbT4kt8wAEVeoIbFxd0XXePGiVShxZtgxV2reHex0xJiIi08CZdiKi+zi5YgX2ffghnly2DI2GD2c7wRLlySUyKnk+qPJ3ibX39oZno0aIPnkS1/v0gSYhodLHQERUURjaiYiK0Gm1uLxlC7aNHw+f9HT4BwRAacE3JUsX2rVycFfoJbQLrcaPR5OXXsKJ0FBkZmRInX+IiEwBQzsRURGJV69i3VNPwdrKCq3WrYNTixY8PyVSyIF9L4DfAJwRne31ct4srKzw1IoVsGzTBhtq1EBumKivJyIyfgztREQyrUaDyP/+g5+7O4Z+8QXqDRrEsphSU8n92fX/roRCoYBvixaIt7BAeJMmyDh6VN9DIiJ6bAztRETyBkrnlizBvsmT8cTs2agydizPS6mJVo+izWJKpWyqVBpPLl6MblOn4nZKChImTND3cIiIHhtDOxERgH3vv4+4adPQwtMTdV95heekzKH9HIA4AGJnVMPQdPZsuM+fj7jQUFz94Qd9D4eI6LEwtBMRidi5fj1qq9VosXo1z8cjqZyNlMpaJlNl+HBYxscjYvp0XF6zRt9DIiJ6ZAztRARzL4tJGTECdUJD4RccDJuWLfU9JKOT36BF1LMbHpWrKwL/+APV4uLgFBHBbjJEZLQY2onIbGmzs5EwaRLCfv4ZXmfPQlWjhr6HZJQveqpUmQ8gq/Br69cPRlCQBwyBQqWC9ZNPwvuHH/Dfe+8heO1aacExEZGxYWgnIrMVvWYNQhYvRnjNmsi1s2OnmEeUlyfaPd6hUikN6lyKsSg8PODk4YHtw4bh8u+/M7gTkdFhaCcis5STkIDwI0cQ06QJ2v/6KxyqVtX3kKgC2fbrhyZffok6vr7Y+MwzyMu6884AEZExYGgnIrOjTUtDyLRpiDp6FM2+/hpOTZvqe0gmQtS1+wKwhyFyHTYMbRcsgK2bG/6ZM4f17URkVBjaicis6LRabHruOexZtQrqxo1RpU0bfQ/JhIiNlbwB2MFQeQ4ZIoX2g59+iu3jx+t7OEREpcbQTkRmt3AyeOdOKBs1QpfZs/U9HBOkM5gNlh7kuW3bYGtpiet79uh7KEREpcbQTkRmQ5OTg6WBgbDz8cGYQ4fg4CtKOejxOQLoCOApAEEG2/6xgEutWhgXFoZb165h7dNPQ5NrOBtCERE9CEM7EZmF9Lg4fNeqFTLDwjA5LAyWdoZbwmF8FPLNQr4ZTueYB7F0cICjnx8ubd6MvePGQZuaqu8hERE9FEM7EZm826Gh2PjCC4g9cwbdOnUyqHaEpnMpEbPVGvljwz+/ahsbvPzff/Bv2hRp33+P5A0b9D0kIqKHYmgnIpMX/OuvSNqzB82efx4Nf/8dCiX/9JWvAADOADIAhAAwjllrxypV0PGTT3AVwLldu5AVHa3vIRERPRCvXERk0mLPnUPIxo1oOWoUei9aBCsHB30PyQTVB+AFIBvABfHeBoyFZ8OGqPHMM0hcuxbRr78OTUqKvodERHRfoviQiMgkJUdEYNPzz8O/cWM0/fRTWHp66ntIZlDTblxzQU7+/tKLufMZGcj4/XcgMxNwFAtriYgMC0M7EZksBx8fvLB7Nyzt7WHFIFYhWrRIQl7eDQBXpFaPb73VAX361IIxEQtSW6xZgzNduyKmaVP4hodDYcHLIxEZFuOaEiEiKgOlhYXU1pGBveLExeXJH4mFqDFwcEiAjY1ht3y8H0tnZ1zy8EBCTAx+rlIFWbeNp8SHiMwDQzsRET2Ggo4xIqgb9+z0iD//hHf37mgUG4tNvXrpezhERMUwtBMR0WOIEPPt8iJU4+e5cyd8nn0WnomJiPjvP30Ph4ioEEM7ERE9hhOiqSaAWwAKSmWMl2gH6rh0KZKvX8f2V19F6IED+h4SEZGEoZ2IiMrs2LJl+GXAAGQkmF7tt9rZGW0+/xy2584h5sgRfQ+HiEhi3AWIRERU6c7+/DP2zpghLdbMRW3ROFGubTcNSisreI8fjzo5OTjwxRfwbt0a1Tt10vewiMjMcaadiIhKRafV4vquXdgyejRy09KkhZuOvt4mFdgLKG1s4OnvD5tbt7C6d2/cun5d30MiIjPH0E5ERCXS6XQIO3gQq3v1go+1NV5atQo1e/SQasBNVbXhw9F89mwolUrcDg2VXrQQEemL6f61JSKichO+cye2d+oEX1dXdJ4zB1WGDYNCIXZBLSBaPrqJLa1M5qyLn6/tO++gzdSpUv3+1e3b9T0kIjJjDO1ERPRQl3/6CWcHDUJPBwd0/eQTBIwff9cRIrw7AmgKoKbJnc2us2ZJm3StGzQI1378Ud/DISIzxdBOREQPlLZsGWImTULd3Fz4LV+OgNdfv89ROvlfUT5SdPbddHSbM0e6YF749FN9D4WIzBRDOxER3Vf6998j/oMPEJ+UBJ8//4T1kCHF7h83bhvi4tKLfMV0Q3vQ4MF4YdcuhIaH49K0afoeDhGZIYZ2IiK6Z9Fp5ubNSJg0CReTkvDEvn2w69Llrhp2YNasLnBzqwWgF4CeGDiwPiZPtjfZs+nbsiVuZ2fj8NKliP3kE30Ph4jMDEM7EREVEh1Skv7+G7898wy26XRo+Ntv8O7c+b5dYoYMWY/o6FT5UmIFa2sL2Nub7mVFbWuLyZcuobqVFdRxcdBlZel7SERkRkz3rysREZV5hv3mgQPY17kzop2c0HrhQvgPHHjPDHsBjUbMqjsDyJVLYwpq202TOA8OtWuj3s8/48qSJUj+7DNo09L0PSwiMhMM7UREJLm4cSN+7NEDES4u6Pjxx2g+dmwJZ6YxgA7SLDuQAiDRLM6krkoVZDZrhuiZMxH8xRfI44w7EVUChnYiIjN3afNm7H7nHWwePRpKtRqdv/gCre5p63g/GnmG3RXAbQA3YQ68mzRBu6++gkOzZrj+f/+HvBTxgoWIqGJZVPDjExGRAbuybRt2TJqE5LAw6fNhW7eidr9+pfzugtAu5n9UJts55n6s2rSB1/ffo8lzz+H8iy+i+bZtJr07LBHpH0M7EZGZunnkCH4fPRrpcXF4etUq+LVqBbc6dcrwCLaiqEbM1QMQizIDYU7UTZtC4eyMf3fuxJmOHTHm4EF9D4mITBhDOxGRGS44vXXtGlZ26gRdXh76LF6Mhi+8AKVKzJaX9RKSByBTvomZd/Pif+AAWtWujaNXr0q17RbW1voeEhGZKL6XR0RkZhKvXMHS2rXholRiyPvvo9WECY8Q2CGXw4jvszSr0piilDY2aBMainr29ljVti3SYmP1PSQiMlEM7UREZiTq4EFsbt4crtbW6PzGG6gzc+YDWzqWLAFAstzq0XwvJwqVCu3+/RcRp09jz/Tp+h4OEZko8/0rS0RkZkK2bMHpIUPQMTMTPd5/H0GffvqYj3gGwAW53aP5lcYUpbazQ6NhwxB/7hwijx3T93CIyAQxtBMRmYHM339H3Jtvonp0NHy/+gp13nuvHB5VXQ6PYRqsHBzQa8ECeDZqhG3jxiH23Dl9D4mITAxDOxGRicvetw/x48cjPjQUbj/9BLuXX36MkpiixE6o+WrXdsPHH3eFObPz9ETVJ55A1PHj+GPwYKTeNI++9URUOdg9hojIhLvE5F24gLhBg3A9JQW1ly+Hx/PPQ2Hx+H/6tVqd3KM9n62tGrVqiU2WzFuDoUOl0H7866+Rk5Eh/Q7K5wUSEZk7zrQTEZkgERYzr1/HlkaN8GtWFtznzkXgmDHSjqflYcKEbfj77/wNmegOtY0Nnly6FAG9euGvevWQExHB00NE5YKhnYjIBMWITib16uGqlRUaTZ6Mhu+8U64zvvkz7QWsADiU22MbO7EzqlvdurikVuNo/fr6Hg4RmQiGdiIiE3Nt50781KMHLisUaDVlCrrPnVvBz+gLoEkFP4dx6bNwIVq/+SZu6nTI+u03fQ+HiEwAa9qJiExExH//4eKmTQhetw7NX3kF9l5eaPPmm5XwzKK2vejMOwndP/0UES4uuDl2LLxTUmA/ahRPDBE9MoZ2IiITIFoMbhk7FvHBweg2ezbaTJ4s1VdX7OWjBgDRIUWU3TC0302UI/lMmICN06ej2jvvwEahQJMXX6zA3wkRmTKWxxARGbnUmBj8/OSTUmDv+MEHaDNpUgUH9oLLh72YTwbQHkBFP59xsrC1RY+dO+ESFwfby5f1PRwiMmKcaSciMmJZyclYXLMmdNnZaDl+PDp98AFU5dQh5uEUclmMCOu2AHIq4TmNc1Gqa48esFm/HheGDUNY7drwHzECSpVK30MjIiPDmXYiIiOVHhaGhVWrwi43F4Oefx5PLllSSYEdclgXXWPyxH6r8o0eFNxzXV1h4+SEv156CTGnTvFEEVGZMbQTERmhxJMncbhLF3ilpqLHsGGo//PPlbyJT125Y4x4kXAMwIFKfG7j49StGzyXLYOVnx9uHjwITQ7fmSCismFoJyIyMvGHDuHi6NHwDgnBk2+8gforV+phFAr5ZgFra2u8+CJbPpbEY8gQtOrSBacnT8bBuXOlDbCIiEqLoZ2IyIjkHj+OpHHj4HzmDHw+/hien31WyTPsBXRyTbsFbGysMGlSGz2Mwfj4v/oqrKpXx4GPPxbb1up7OERkRBjaiYiMRN7164gdOhRXzpyB4pNP4DxlChRWoq68cv36axZ++y0ewAkAuwBcrfQxGCvL9u3R548/YOnggJ/79dP3cIjIiDC0ExEZOJ1Gg/gqVRDdqhUu3bgBm6lTUWfqVChtRdeWyhcbq0F8fC6ADABJ8r9UWp5BQZhw6RKu79olterUacU7FkRED8fQTkRkwLS3biEyIAC7oqKwt2FDdMvNRdfPP4eFtbUeRyU6xhQspKysbjWmxdbNTbpF7tiBU6++qu/hEJERYGgnIjJQt0NCENy7N/4NC4OmSxeM2r9fah+onxr2osIB7ANwja0eH5HSwgLjg4Nh36ABbsTGIicqqnx/RURkchjaiYgM0K1Ll7Bj7Fj8duwY1M8+i+E7d8Jw5Mo3ehy27u7o9803iNy6FVemTkVeZCRPKBE9EEM7EZGBSbpxAzsmTsTVvXvR7JVX8OT330NZaZsmlYbYzZMbapcH5+rV4Tt4MI6vXYvbwcHl8phEZJr4V5eIyIBkJCZiw9ChiDx6FC1eew1dP/4Y1k5OMCxilr3o5kC8lDwqRz8/9Jw/H7tzcxE1YwZcGjaEysenXH5LRGRaONNORGQgtHl5+K5FCymwN3j+eXSfO1cqoTA8ottJ0Y4nznoci/Fz8veHffXqSDx+HBFt2kCXna3vIRGRAWJoJyIyALkZGVhQtSrywsJQo2tXPL1qFaydjSMM29p663sIRq/HZ58hvW9fpEREIC8tTd/DISIDxNBORKRnWVFRWNGiBeyio/Fs+/Z4ce9eqCwtYfhEFxsbhIT00fdAjJ74fff74w8kdeuG/dWqITUkRN9DIiIDw9BORKRHaVeu4OLQoXC+eBG9+/ZFtQMHDPr3ER+fjnPnYuXP7AA0ws0/xa6oVB467tqFGnl5ONixo1QmRUT0SKF95syZUn/gojdv7ztvi+p0OukYX19f2NjYoHPnzgi+azV8dnY2Jk6cCHd3d9jZ2WHAgAG4efNmWYZBRGQygf36xIlwdXJCp3feQdX16w2gB/vDnT0bi+++O1HkEqJByMiReh6VaXF480343ryJf+bO1fdQiMiYZ9qDgoIQHR1deDt37lzhffPmzcOXX36JpUuX4tixY1Kg79GjB1JTUwuPmTRpEjZt2oS1a9fi4MGDSEtLQ79+/aDRaMrvpyIiMmDarCxcHzECsa+8Iu1s6rdoEXw+/RRKW1sYBzHDXh9ACwA+qJaegcT339f3oEyCeNHm+ckn8Pz0U6SfOIHg9ev1PSQiMtbQbmFhIYXxgpuHh0fhLPvChQsxY8YMDBo0CA0aNMCqVauQkZGBNWvWSMckJydjxYoVmD9/Prp3746mTZti9erVUvDfs2dP+f90REQGRvytPN2lC/JWr0YWgICvvoJFjRowLqJnvPjbX0XqHBOWk4Pgbdv0PSiToVCr4dq/P2pGRGDfpEm4ZlAbaxGR0YT2q1evSuUvNWrUwPPPP48bN25IXw8JCUFMTAx69uxZeKyVlRU6deqEQ4cOSZ+fOHECubm5xY4RjyUCfsEx9yNKalJSUordiIiMjU6jQVSLFjh1+DDS69VDnS1bYF1FBF9jUlC+U/DuqAr2KhWsz53D32PHQqct2gqSHpVl7dpo/NNP8IiJQXp8vPRij4jMW5lCe+vWrfHTTz/hzz//xPLly6WQ3q5dOyQmJkofC15eXsW+R3xecJ/419LSEi4uLg885n7mzp0LJyenwpu/v39Zhk1EpHfZKSkI694de06eRHpAAJqePw8LR0cY52XDRv43D0AmGkdFwsvZGfHff4+/Z8/W9wBNgsLCAi7Dh6P6ggXY+uqruL57N18QEZm5MoX2Pn364JlnnkHDhg2l8pZt8tuhogymwN2LqMTsQEkLq0o6Zvr06VJpTcEtIiKiLMMmItKrtNhYbHn5Zfy+fz9ymzXDuOBgKJTG2rxLbPbUHUB1AJEAtkDp4gy73bsRBSAlPFza1ZUen7gutnnzTQQNHIjVvXohMymJp5XIjD3WVUN0fxEBXpTMFHSRuXvGPC4urnD2XRyTk5ODpLv+8BQ95n5EmY2jo2OxGxGRMUiPjcVf77yDC7/+CtdevTB0505YWFnBeOnkm6LYJcTRzQ2NO3fG6e+/R5iBt600NrU6d4admxvOrVnDMhkiM/ZYoV3Uml+8eBE+Pj5SjbsI5bt37y68XwT0AwcOSCU0QvPmzaFWq4sdIzrQnD9/vvAYIiJTkZWcjB1vvIFTq1ahzsCB6P/tt7CTF+8bL1GzHieaPwK4JvZylb5qWbUq3F95RYrymT/+CE10tL4HajIavvIKei1ahL3vvYf9H32k7+EQkTGE9mnTpkkhXCw6PXLkCJ599llpUeiLL74ovY0n2jnOmTNHaukogvioUaNga2uLYcOGSd8v6tHHjBmDqVOnYu/evTh16hSGDx9eWG5DRGQqtBoN1g4ciPPr16Nm797ovXAhnKtVg/ETs+wpcmCPwOrVA6BS5V9KqnXujKBhw/DvH3/g72efhSYjQ9+DNRmNXnhB2jX18vff63soRKQnFmU5WGyCNHToUCQkJEitHtu0aYPDhw+jmnwhevvtt5GZmYlx48ZJJTBi4equXbvg4OBQ+BgLFiyQ2kYOGTJEOrZbt25YuXIlVCpV+f90RER6INbpLG/dGtEnTqBa8+Z4+qefTGCGPf/nulMWIy4fCnTsWA1KZf6aJDsfH/ResgQbEhJwaNcutMvLA/+yl5+xR47g23r18O9zz6Hd2rUGvxEXEZUvhc4I+0iJ2X0xay8WpbK+nYgMSW5WFlZ17gxFcDB8vbzQMzgYKqOuYb8jPDwPtWqFIzf3qmgADOAWwsPfhL+/U7HjNg4bhrh169DD3h4Bt28zXJYTcbm+HRqKlQEB6PP666j71Vfl9dBEZASZ1ljbFxARGZTs1FTcvnABW4cMgWVsLIaHh6PPtWsmE9gFnS4PubliF+z/ACTI9e33ekZsqFevHq5kZSH3miijofIgZtYt7ezgXrUq7OLjob11iyeWyIwwtBMRlUNgPzp3Lg4EBcEzKgoDd++G1V37UZgGsaFS6do51unaFT5aLSKeeALh//5b4SMzF3aenhiwfTtirl5FwttvQxMnFgUTkTlgaCciegy6nBxEfvgh4ubORdO2bdF6+XI41qploudUhPb4Uh3ZdfFi2L/7Lm7Hx+PIzJkVPjJz4lS/Phxfew2XV6zAiXffRdbt2/oeEhFVAoZ2IqLHqDEOHz0amQsXwqdZM/gsWwZ106YmfD5FOUxmkc/zF6M+SMCMGRDFQc7nzyO4yCZ89Pjcu3aFZ69eSP3xR2i56RKRWWBoJyJ6RNcGDkTumjVIqF4djdatg7pJEzM7l67AQ/rDKCwtUXPrVtjHxCDixIlKHZmpcwsMRMDy5ajfqhXODhgAbU6OvodERBWMoZ2IqIx0Gg1Cn30We/74A9ccHNDu1CnYm2xJzINt2dIDfn62D7xfoVTCpk8feG7ciFPffYdTP/4Infb+i1ep7Cz8/eG1ezfOpKRgUWAgTyGRiWNoJyIqg9yMDISMH4+/Nm5Eurs7ukVHQ+3sbGbn0BpAAzg6ehT2aH8QhUoFN3d3BFpZ4Y/RoxF+8GCljdIcKB0d0dHbG4qkJKRzUSqRSWNoJyIqpeyUFBz4+GOs//Zb5AYF4ZWTJ6G2ffBMs+nSFbmVzLljR1T9+GOpIj7u7FlosrMrfITmpO7hw2jbogV2T5um76EQkaHsiEpEZM4z7Adnz8bBefNQpU0bDBBdYvz8YC40Gi1++eW8/FnB7Hrp9+bzCgqCR9262DlxIuo+/TQczOjcVUb/9tb79ul7GERUwTjTTkRUAlGHvePNN/HvvHnwa90afZctg2eDBmZ13vLytJg+/S8A/gAay/+qS/391bp1Q++lS+EYEIB9H30ErUa0jyQiotLiTDsRUQnWDx6MkL/+wgu7dsHB1xeeQUFmes7EDLsHgBqA1MyxbJeQmt26SecvcsUKJCQmwnPTpgobKRGRqWFoJyJ6QA/2P6dOxeVNm5AcGYk3rlyBc/XqZn6uxJuzWvn2aG/UDl63DiuaNMG5v/9GV51OKu0gIqKSsTyGiOgu2rw8/DNnDo4tWgSvuDhMCwmBU7VqZn6exOXiKQCiF73YgXObWFZa5kdx8PGBg7Mzqty6hbDWrZGbWXSzJiIiehCGdiKiIkRnk3PffovT77+Pej4+6HP4MGz9/DgjLFHJlw1lmbrH3G30xYuIDwrCrWPHpDaQRERUMoZ2IqIiM+wXly9H2IQJGBgYiH4//wynhg15fgoVbIykQpMmPnB3f7R2l2LTpTYHDkDMsTvcvIlbly7xHBMRlYChnYhIrmFPmTsXERMnolFgIDyXLIF1p048N8VkALgK4BpefbUegoI8H/n8KG1sEDhmDBQHD+LSxo08z0REJeBCVCIiAClTpiB2yRJkenvDe/lyBvb7ypFDeyyAwMf6/0Zpawv3efPgYmODY+vXo1rPnvBr2ZL/LxIRPQBn2onI7CVPnIjEZctwQK1Gx717GdgfSCHP9Yja9sendHWFb7t2sDl7Fr899xySbtww+/8XiYgehKGdiMx606TL77+PNd9/D8dDhzAyKgru9evre1gGu7kS8Lcc2MsntAuegwbBd8oUJIaEIDctTSpTIiKie7E8hojMjk6jQVZ0NMJ//RWHli5Fr61b4dasGTvEPISf32lAWjoaVq6/C6WVFZw8PWFtbY2bjRvDPSUFCgeHcn0OIiJTwNBORGZFzOSG/fEHDg0ciBgvL/T55hvU7N5d38MyeDqdqGOvGC3feQcpqanYsWCB9I5HQM+efAFFRHQXlscQkVk5vXIl1j/9NCI9PdH1s89Q7/nn9T0kI3GzQi8Z3T75RNrAaku/fsj45ZcKex4iImPF0E5EZuPQ/PnYNn488uzs8OTSpWjy4ov6HpIRuVWkT7tavpWvjjNmQKVS4eL775f7YxMRGTuGdiIyCwfnzcOBWbOgycrCsK1bETR4sL6HZMTs5Vv5avTCCxiwZQsso6MR/+675f74RETGjKGdiEy+hv34t9/i5KxZcExJwavHj6MaN016LCNHVscLL1RDRajasSMisrIQtmiR9CKLiIjyMbQTkcmG9ezkZFz97TccnDIFvZctw2tZWfBq2pSLHB+rT7svHBzqwMGhYvoYiG4yXS5eRGJWFixjYqDJERs6ERERQzsRmaSYkyexwtkZCaNGocesWag9ciRUVlYM7I8d2iv2sqFQKKC2t0f16tWR9vXXuPLTTxX6fERExoKhnYhMTvqff2Jbu3boZG+Pxu++i6CpU/U9JBNgJ82yA14Vsgi1KHWVKqi5aRO8GzVC8okTyEhIqNDnIyIyBgztRGRSUn/5BTEvvAAPrRbVZs+G3YwZ+h6S0fvmm2PIznYH0FosFwVQ8ZsfqZs0gdWoUTj+zTfY8847yE5NrfDnJCIyZAztRGQyUlevRuLUqbiQmIj6q1bB/o039D0kk7BsmQjtuQDyKqVEpkDVvn3h07UrTv7wA3LS0irlOYmIDBVDOxGZhIStW7FzyhTsiY5Gw82bUYubJlXA5UKE9spjXbs2HGrUgArAup49odVoKvX5iYgMCUM7ERl9l5jbR45g/7BhuHL7NtquW4eq/fpBoeSft/LTGUAnAFYAjgI4gcrSZdEi+D3xBCIvXGAnGSIya7yqEZHRyomMROyZM/iqY0e4jBmD97KzUX/wYChVYm6Wyo9KvlnIu6JW3oy72s4OL/3zD+w8PbG4ShVoYmIq7bmJiAwJQzsRGaXokydxoGFDLG/VCo1Hj0a3hQuldoHiRuVNBPUkKbg7O9sgMNCtUk+x+J36t20L11u3ENmvX6U+NxGRoWBoJyKjE/LXX1j37LP4NykJrd54A/2+/lrfQzJx4oXQWQBX0ayZFd58s02lj2DIhg1IVKlwKz4eaXv2VPrzExHpG0M7ERmVG/v2Ydu4cbgdEoLuc+ei57x5+h6SGSjoGHNKvMehpyEo0G3OHCA8HBkrV+pnDEREesTQTkRG4+aRI9j16qtIvnQJTy5ZgrZTpnDBaaWFdlHTbqm/ESgUaDxpEny+/hqX9+zBhTVr9DYWIiJ9EKuKiIgMv0NMaCh+7dcPgQkJGPTFF3AdOxYqS/2FSPNyEEAUAP22XFRaWsKlRQu4x8bCOixM+v+CaxiIyFwwtBORwcuOi8OKevXQuG9fdPvlFyhUKulGFS89XQuNJqvSe7Q/iLpZM/ivXIldY8YgvWZN1H/2WXYLIiKzwPIYIjJYSSEhSDlzBsE1a2JM9+7osXGjNNvKwF55XnzxMi5cyIahEP3389zdoXV1xW/PP4/EK1f0PSQiokrB0E5EBinr7FkcHjwY55o0Qc3+/eG8dau+h2Smzon59iKf67+lpnPfvmi9YAE8fHxw/c8/oc0zjHcBiIgqEkM7ERmcrDNnEDtuHBxOnECtCRPg/NNPrF3Wq7wilwwHGAL/F16Ac4sW2Dl5MvKyRPkOEZFpY2gnIoOSdf06wl95BRH//gv7t9+Gy+zZUHDBqQEtg/KCoXji7bfh4OuLLWPGSItSiYhMGReiEpHByEtKwtHevXHi2jU0f/NN1J8xA5aOjvoeFkns4ePTGMuXNzGY81G1fXtYOTri0pYt+h4KEVGF40w7ERmEvOxsHAoIwNGwMFQdNgztPv2Ugd2gKKFW26JmTVsYkrFHj8JCpcKFpk2hy83V93CIiCoMZ9qJSK/yEhORkZaGb1u1gkO1aph68qT0dfbfNjSixaYWhsbKwQH2/v44cuYMPAYMgOeOHfoeEhFRheBMOxHpTXJ4OE6OGIHvq1eHW+3aeOX4cSmsM7AbEjUAV7mW3TA3s3rt9GnYt2kDbWIicq5e1fdwiIgqBEM7EektsIvOH9t37IDfoEEY9scf3CTHIDkDaAmgrUEtQi3KwsoK/f/3P9w8dgxpX3+t7+EQEVUIhnYiqnQZCQnYNm4cLv72Gxq98AL6fvUVrJ2c+JswMH/8cRmnTsVILR9V0GAqFsBQqTw84Dx+PKL27kXsv//qezhEROWOoZ2IKpUmJwe/9O2L7G3bMPjZZ9Hj889h7+3N34IBOnZMjRs36khlMUpo0DX2WxycPBmGyNLJCT79+iHv7FkcHD0acefP63tIRETligtRiahSfd2oERwzM/FseDisHRygdBblF2SYbOS5nWwA1+CYnQ3tmTNST3RDXHdg07kzLD78EKGzZqFVSorBjpOI6FFwpp2IKtXr585h+LVrsPX3Z2A3eDq5Y4yY39HilqMjtPv34+ikSTBESmtrBH34IeqPGoVVHTsiPS5O30MiIio3DO1EVKlUajWUatGRhIxDhlg2DIVlHhqcOYscnQ43Y2OldQmGSKFSwaZaNSisrBAfHMydUonIZDC0ExHRQy4RNwD8CeAsYGcL286dEbFuHS5s2GCwZ63zzJnwatwYP/XoAZ1Go+/hEBGVC4Z2IiIq4TKRv/xJ5e6Oqu+/j5oAQrZuRVJoqMGeueZjx0Jta4t/583T91CIiMoFQzsRET2AQr5M3NlUya5hQ3iMGYNL27cjOSzMYM9c05dekkJ76ALDbVNJRFQWDO1ERPQA1wGcA5BS+BWVpyfUTZpIS1Q3jxqFtBjRx90wjfrrL8SnpODy88/reyhERI+NoZ2IiO6h0eiQl5cFIFN8Vuy+pq+8gsYvvYTboaHITU832MWebnXqIEulwsXr16HLzdX3cIiIHgtDOxER3WPDhgTMmRMll8gId/qdqywtYe/jA5WVFVYFBkKXl2eQZ1CpUmFaWBi8jh9HzPPPIys5Wd9DIiJ6ZAztRER0H7HShkr5vdoFl2L3dps9G1Vat8ZtnQ7xf/9tsGdQq1YjumVLXPztN5z99lt9D4eI6JExtBMRUYnGjm15z9fqP/MMLO3tcWLwYIM9g9bOznjq118R0KMH8v79F0khIfoeEhHRI2FoJyKiEs2e3QgKxZ0SGaH1G29Iofh2ejrSPvnEYM+iqlo12A4fjitbtiDu/Hl9D4eI6JEwtBMR0UNYAagnou997x3y66+I0GhwceNGgz6Ljr16wXfoUOyfPh3J4eH6Hg4RUZkxtBMR0UOIsG5fbCFqUX6tWwNKJbz+v737gI+qzPc//p30QggJgVBCCRg6SGhKUVQQRLCuyqK4sIp/XRUV3HVV9l65uoq6S1kX170oF2FZFisuikqRoohIE5BQpYQaIpBGCKnzfz1nk5hEWsrknEk+79drSJmTmSe/GeZ888xzfsesfndoFxkjMDpaPjExOpaQoNwzZxw9VgA4F0I7AOAcXIVnQjWXCwfccYcP6+TmzUq5915HV/K6SZMUN3SoXu/USWeOHLF7OABQLoR2AMA5hEjqISnOHM553gpZ69wDA5XUrp3STpxQ5rFjjq2maQEZedll8vHz02dt2jDbDsCrENoBAOdRULieveV5l8cYAeHh6j9vng4uXqz9b73l6GoOmTZNvR5+WAcknV20yO7hAMAlI7QDAEpJSjqtd97ZVrgsxl24q3BddGfS0MT8L75Q6vbtjq7o4ClT5O9yadf48XYPBQAuGaEdAFDK8eMFWrAgTFIzSSckrZF04bOe+sXGKmr8eLlWrVLezp2Or+j1s2dr49GjSn7hBbuHAgCXhNAOACjDHHxq+sHUlZQt6UjhUpnz86tXTyE9esisaH/n8cd1cs8eR1e1zY03KjgzUz7ffGP3UADgkhDaAQDnkF+4JMZHa9aMUd26pl/7hYXccYdaPvWU8g8fVk5GhqMP9PQNDtZNmzZpw5Il+urpp1WQb35fAHAuQjsA4BzMcphMc7imQkP9fnY21HNx+furcXS0moaE6K3u3a3g7lTm9zFnc20VFaVjr7yiLf/4h91DAoALIrQDAMowAT1d0rLC9exnL7lCYePHK2/wYGue/sDKlY6ebfePjVXLhQtVLy5OP27bprNpaXYPCQDOi9AOALjAyZXKv5toO3SogiMj9e5ddzm+sgG9ein6gQe0efJknfCCA2gB1F6EdgBAGVmSTIA1y1vKP1Pe9f771aBxY3XNzdWuZ591fHVbDR6smN699dWkScpON+8wAIDzENoBAGXkFHaMMeG9Ystbhs2ZoyNBQfryX/9yfHXDunRRaNu22vXvfys3y/zOAFADQvuRI0c0cuRI1a9fXyEhIeratas2btxYfL1Zvzhx4kQ1adJEwcHBuuaaa5SQkFDqNrKzszV27FhFRUUpNDRUN998sw4fPlw1vxEAoMLMa7jbbZbGXPzA0wtp2K2bUvz8rENZ3QUXbhfpBIOnTlWj+Hj9b3w8nWQAeH9oT0lJUd++feXv76/PPvtM27dv1+TJk1WvXr3ibV599VVNmTJF06dP1/r169WoUSNdf/31yijRReCJJ57QggULNH/+fK1evVqnT5/WsGHDlE/LLQCwVVpagbp3322aIhZ+p+Lh/cmjR5WWmKh5Q4bI6UwnmdAGDZSZnKz8U6fsHg4A/Iw5yuiSvfLKK2rWrJlmzZpV/L2WLVuWmqGZNm2aJkyYoNtvv9363uzZsxUdHa158+bpwQcfVFpammbOnKl//OMfGjhwoLXN3LlzrdtdtmyZBg8e/LP7NTPz5lIknTWHAOAhuSoo+KLE140lXbxH+7n4+PpaM0NBqak6e/Cggpo3l5Pdu3ixJkdHa3OnTup5/LjdwwGAis+0L1y4UD169NCdd96phg0bKj4+Xm+++Wbx9fv371dSUpIGDRpU/L3AwED1799fa9aYtmGyltLk5uaW2sYspenUqVPxNmVNmjRJ4eHhxRcT8AEAnnfVVc1Vr15QhX7W5eurNrfcosR167Tnz3+WN2j7i19oU3a2sj7/3O6hAEDFQ/u+ffv0xhtvKC4uTosXL9ZDDz2kxx57THPmzLGuN4HdMDPrJZmvi64zHwMCAhQREXHebcp65plnrBn6osuhQ4fKM2wAwCUrfeDpY481U/PmFQvtvv7+umHaNGuBTd433+jsunWOfxyGTp+uzo8+qsT779f299+3ezgAULHQXlBQoG7duumll16yZtnNcpcHHnjACvIllT1znlk2c7Gz6V1oGzNbX7du3VIXAIAnFL0OmzXtTSSFV+rWQhs21DX/8z/K2bBBuZs3y+lcPj7qMXas9h09qqRFi+weDgBULLQ3btxYHTp0KPW99u3b6+DBg9bn5qBTo+yMeXJycvHsu9kmJyfHOqj1fNsAAJywe6hjTj9UqVvxDwlRvd699YOk4889p+wNG+R0fvXrq+f8+cpfsEBbZs60ezgAUP7QbjrH7Nq1q9T3du/erRYtWlifx8bGWqF86dKlxdebgL5q1Sr16dPH+rp79+5W95mS2xw7dkzbtm0r3gYA4JSzoVasT3tJLa69VvGvvqpdSUk6nZpqvbPqZD5+fgqPjVX3225Tp3vvtXs4AFD+7jHjxo2zgrVZHnPXXXdp3bp1mjFjhnUxzPIW087RXG/WvZuL+dz0c7/77rutbcyBpPfff7+efPJJq9d7ZGSkfvvb36pz587F3WQAAHYG9laSukkKlhRSJSG4ccOG8g8L05Lrr9fNhw8rtGlTOZl/z56K6Nnzoks7AcCRob1nz55Wf3VzYOjzzz9vzaybFo/33HNP8TZPPfWUsrKy9PDDD1tLYK644gotWbJEYWFhxdtMnTpVfn5+VvA32w4YMEBvv/22fH2L+gIDAOxjToaUXxjgqya0Rowapbyvv1a7N9/UkZUrFTdihLV+3KkI6wCcxuV2+vuU52D6tJsZe9NJhoNSAaDqpKZmKyLiXUmdTNTWe+810B13hFbJbZ98910ljh+vJUeP6nfZ2VZ3GQCozdLLkWmdO80BALCBecfTNBww8znbJZ2osluuf9ddCmrVSgFutxaPH19ltwsAtQGhHQBgMW+8Dh26s/AsqCa8H5V0ukqr0/r11xUXFaUd8+ZRdQAoB0I7AKDY+vVphbPsZvdQ9QdhBnburP1BQcoz91Jg1s4DAC4FoR0AUEJDSSskfaiQEHMG63L1K7gkj+zbp+z0dL155ZVUHgAuEaEdAHCOXYOPnnqqr26+uW2VV8e0gGzetatyMjJ0au9eqg8Al4DQDgAowVW4nt3Pc/fgcumuzz/XiZ07tfwPf6D6AHAJCO0AgBK+k5Rc2Kfdc/xDQtRr7Fglbdmi/cuX8wgAwEUQ2gEAJew2HdUl61BRz/EPDlbXUaOUuWOH0r75hkcAAC6C0A4AKKF6T3iULenItGnKXLaMRwEALoDQDgAoE6OrR6OuXXXzrFnad+KETp48SQtIALgAQjsAwHLgQKp1gqWfdg/mgFTP8fH1VXBUlPIjIrTrl79U9k5zYicAwLkQ2gEAlquvnqW8vKITHgVLquvxyrQdNkw3/OY3auLxPxEAwLsR2gEAZQSoTZvW6t27abVUJrBfP52+7DKlv/223Dk5PBoAcA6EdgBAGSHq2rWVBg2KqpbKxA4ZokadOinpT39SQXb1rakHAG9CaAcAlGEWqhStba8eTV5+WWEtW+qLIUNKrKsHABQhtAMAznFG1OoNzv5t2yogNFQNNmygiwwAnAOhHQBQyBx4OljSDZKqZz17SdFbtmi1v7+mt23LIwIAZRDaAQCFzAx7fuGuofp3Dy5fX8VLKsjK0gnaPwJAKYR2AEChGKtzjJQq6bgtVWk/fLjCjh7VZ48/zqMCACUQ2gEAhTpLCpd0WNJuW6oSPn268iSd3L1buxYu5JEBgEKEdgBAiYNQ/Qo/2sPH318933pLqQcOaP+KFTwyAFCI0A4A0MiRW5SUVLJHetGZUauXj6+vWl17rYJ4TACgFEI7AECHDzeRK2+rpHfkcm1SQIB9u4fwli1127//rXXTp2vz22/z6AAAoR0AYNTVMb2k++WrAnXuHKU5c26zrTAuHx8FRUQoqF49pR85otysLB4kALUeM+0AAN2ux5ShZLmt7jGSy2XfunajxVVX6apnn9XXf/iDkjdu5BECUOsR2gGglktculTphw4VfpVr64GoZZk/ITLnzVPB6dN2DwUAbEVoB4BabsdHHyll3z4t1mC5dVaSW05w2eDBiuzfX1veeEO5GRl2DwcAbEVoB4BabPv77+v799+3YvoOtZfbQbuFBh06qP5ll2lf4fw/ANRmznl1BgBUK7fbrYykJGUmJ2u+hitDYYXXOGd5zOCpU9W/Vy+ldekid5457RIA1E6EdgCopQ6sXKnFjz2moLAw5fqHlZhld05oDwwLU1LDhjqVkqKCH3+0ezgAYBtCOwDUQnnZ2foxIUFhbrdunzRJzfr0LRHYI+Ukt378sbIaNNDBzp3tHgoA2IbQDgC10Jnjx/Xt2LHq2K6dfkito6Qkc6CnSwEBDXXLLR3kNHHDhyszJ0eJCxfaPRQAsAWhHQBqIX9JXST1vO46LToapV27TkryVXBwSz3/fEc5Tb0pUxR25owOP/+83UMBAFsQ2gGglinIy9MXo0ZZi2BKd2Xxc0y7x3NJNB1u9uzR13/6k91DAYBqR2gHgFrGVVCgVitXKu2KKxQ5caI1w/6feffBjjoItRSXS13WrlVwerqStmyxOt8AQG1CaAeAWiahRQvluVw6HhkpvwYNCkN7oKQ6kpy3nt1wuVwKi41V56Ag7Z8/X2smT7Z7SABQrQjtAFCL5B04IP/MTKXHxOgXn35aYlfgdvxuwbd+fTX76itF5udbS3wAoDZx7qszAKDKHbv1Vn16+rRODBxY4rv1CmfZz0o66uiqF4SHKyc+Xid27NDppCS7hwMA1YbQDgC1yFZJWX5+umXmzBLfbSWppaQ0SV/LyerHxanv+PH6fs4cHV63zu7hAEC1IbQDQC3x7V//qu8PHtTg118vc42rxMX5B3g269tXbYYN09qpU5Vx1NnvDABAVSG0A0AtkfjllzqbkqKOd95pHdhpvPdett5776A53VLhVs5fK14vNlZRHTvqwMqVOptm3h0AgJqP0A4AtYDpbb5r4UK5fEq/7Ccn5+vHH7MlrZC0Sjt2PCxvUPR7rOjbV3mZmXYPBwA8jtAOADVcblaWMpOTlZ+To/+3YYMCw8NLXFtQYklMrurXD5E3uO7FF9X2ppvkl5Ii0bMdQC1AaAeAGm7PokVa8+c/q36bNgqoU6d4acx/mGUxKYXh3XuY3yGqfXsdCA5Wyrp1nGwJQI1HaAeAGizr1CntX77caup40x//aHVfKc2sZ18r6YRXHIRa0vWvvKKAFi20d+hQu4cCAB5HaAeAGiz9yBFtfuMNdR40SI0vv/w8uwFzRlTv1O/ppxXh46OUl16yeygA4FGEdgCowUIldZPU5MorFdimzTm28PXqXUHXUaO0x+XS2Vmz7B4KAHiU975SAwAuKCc9XUtvvFGX33CDLnv88fNtVXgxSq519x47Je1LTNRHv/613UMBAI8htANADeQ2HVUyMlT/8GEFhobKPzLyfFuW+LyOvNHjhw4pJi9P0ceO2T0UAPAYQjsA1FAHY2MVFhiogpiYS9g6QHFxrct0lvEOvsHBym7dWk0zM5V9/LjdwwEAjyC0A0ANlLp0qfzcbiXHxanBtGnn3ObHHzO1dasJuSaot9IXXwyWv7/37RZ8goLU6vPP9ePq1fr+lVfsHg4AeIT3vToDAC4q4YEH9L2vr6LHjDnvNtu2JWvGjI2FuwLvavdYlisiQu7hw7V73Tolbdli93AAoMoR2gGgBjKruxOCgtT1vAeg1qxdgV/9+oodPVoFX3+tpA0b7B4OAFQ573+lBgCUcuChh5SclKRfLV16kcqYZTHRkq6S1NlEX6+uZL3evdV83DitfOEFHd+61e7hAECVIrQDQA1SkJ+v1bt361R+vqLPeTKlsqE9UFK4pDCvbflYxDc8XP4xMUpNTNTZtLT/dNABgBqC0A4ANcjSceO0d8UKPbpnj3z8/S+ytTmxktmmwOvXtBdpERqqpsHBmtW/vzKTk+0eDgBUGUI7ANQQGceOKfXoUTXo2FH+wcGX0L6xvqTLC0P7qcKP3q3Jgw8qesQIuZhlB1DDENoBoIbY+dFH2vHBB7rhL39RnUaNLvGn6hauZV8v6axqguZXX62Qhg219Z//lLvA+/8QAQCD0A4ANcCpH35QwnvvWSvUy3c4qXevYz+XrqNGKaJ1ay393e8I7QBqDEI7ANQA6UeOKGXFCl33yCNqGB9/iT+VYxpDSvpG0skas67dGDJtmoLCw3V4+HC7hwIAVYLQDgA1YC37ByNGWM0b49q2VVBk5EV/xnRWcbvN0pF0SScKA3zN0bRXL+tA3PVffkkXGQA1AqEdALycX16e4o4dU+sHHlDEb35zST9z+HCBbrjhVGEHGR8tXnyvYmLM+vaaI6BOHe07cUJHrzJ96AHAuxHaAcCLmRnzzN271SYkRK2bNZPL79JWtJtZ9tzc9MIZdpcCAnwvoduMd3ls92518PVVUE7NehcBQO1EaAcAL+bOy9P6gQMV0aOHov7rv8rxk6ZTzCpJeyRl16j17MVcLmUPGaIfU1KUs2GD3aMBgEohtAOAF8uYOlWxdesq5N57y/mTJqTX7Blol4+Pbvy//9OOH35Q6muv2T0cAKgUQjsAeLH0l1/Wsbp1FTZmTDl/suaHdsMvLEwdXnhBx776Sgc+/tju4QBAhRHaAcBL7R8+XJ+kp2t7hW8hr8TnNWs9exG/oCC1HDRI/gcOyHfHDruHAwAVRmgHAC9dy75v506dcrl039atdg/H0QK6dVPM3/6mXRMn6tDnn9s9HACoEEI7AHihI/feqwNbtyqkcWMF1atXyd1AA0lBqqlMR53M0FAdyMrSyaQk5efm2j0kACg3QjsAeJnsxER9lZysQ5Ie2ry5kq0aI9W69dUKD6+vmiwyOlqtYmL06a9/rZR9++weDgCUG6EdALzMvjlzlLR8uTrccYd8AwPL/fP5+QWaO7doSY1b48aFKD7eXzVZ4ODBaj1ihMLtHggAVBChHQC8SNKWLVqzaJHMaZGunjBBAaGh5b6N/Hy3Jkz4ovDg09qzG4i+5RaFdeyoL//4R+Vlm970AOA9as+rNQDUACl79+rQt9/qqgkTFNG6dSVuyZw5tYukXpIiVBsE9e2rwNhYbZ07VwV5JTvnAIDzEdoBwEu43T+dtbRhp04KDAur5Mu/WSwSZfqrqLYY9tZbqhcbq1ndupWqJwA4HaEdALzEjwkJ+nT4cN3yzDPqcOedlby1oMLlMeYES/mqLUKjo+Xr768fD5nDeAGghob2li1bWl0Kyl4eeeQR63ozazFx4kQ1adJEwcHBuuaaa5SQkFDqNrKzszV27FhFRUUpNDRUN998sw4fPly1vxUA1DDu/Hyl79mj8JAQNW7SRD6+vpV86R8qqbmkXeY0TapN6sfFWR9P7dlj91AAwDOhff369Tp27FjxZenSpdb37yyc8Xn11Vc1ZcoUTZ8+3dq2UaNGuv7665WRkVF8G0888YQWLFig+fPna/Xq1Tp9+rSGDRum/PzaM9MDAOWVl5mprbffrs4DBqjRo49WQQFdJQ5ErV1vut79ySfWhNP7w4bZPRQAuGTleqVu0KCBFcSLLp988olat26t/v37W7Ps06ZN04QJE3T77berU6dOmj17ts6cOaN58+ZZP5+WlqaZM2dq8uTJGjhwoOLj4zV37lx9//33WrZsWXmGAgC1hnl9/W7yZHVo0ECdKr0spkiB1e7xP8G99unz5JNynTqllML9EwA4XYWnV3JycqzAfd9991kzFvv371dSUpIGDRpUvE1gYKAV6NesWWN9vXHjRuXm5pbaxiylMQG/aJtzMUtq0tPTS10AoDZxv/yywqOjFTpiRFXcmulDI2mdpL2Sat8ZQvs9/bROnjypHXPn2j0UAPBsaP/oo4+Umpqq0aNHW1+bwG5ER0eX2s58XXSd+RgQEKCIiIjzbnMukyZNUnh4ePGlWbNmFR02AHidxKFDFZqbq+VVequmT/lRs7K7Vh2IWrbpZcjq1To+ZYrdQwEAz4V2s8xlyJAh1kx5SWVPp23e1r3YKbYvts0zzzxjLa0puhziqH8AtYQ7L08B27crOTRUd3z9dRXfuq/uv7+bxozpptrGLzhY961fr/SMDAUfO2b3cADAM6E9MTHRWoM+ZsyY4u+ZNe5G2Rnz5OTk4tl3s41ZVpOSknLebc7FLLOpW7duqQsA1AbHhwzRvxITdSQmRoFV9tpnlseslJSqwEBfBQaaOefaxUwU+URG6mBUlFLT05WbmWn3kACg6kP7rFmz1LBhQw0dalqG/UdsbKwVyos6yhgmoK9atUp9+vSxvu7evbv8/f1LbWO60Gzbtq14GwDAT/YXLmQZsXlzlZVlzZpUSmzOA9uqlYbMnq3NM2Yo8d13qQkARyv39EpBQYEV2keNGiU/P79SsxamneNLL72kuLg462I+DwkJ0d13321tY9aj33///XryySdVv359RUZG6re//a06d+5sdZMBAPzk4OrV2nH4sNrfc49cPlXXlvHWW9dS5kJhzZvr8t69lb5ihc7ceKNCLvCuLwB4VWg3y2IOHjxodY0p66mnnlJWVpYefvhhawnMFVdcoSVLliisxKm2p06daoX9u+66y9p2wIABevvtt+VbqROFAEDNk/Duuzq4c6du+/RT6yyeVad2nUzpQgI6dVLkbbfp0FNPKfuRRwjtAGpOaDftGs2Bo+diZtvNGVHN5XyCgoL017/+1boAAM5t78cfa/eHH+r6P/1JdQqPGao6P53wDv9ZJ2oWDC14+GGNWLpUwZGRlAWA49Su0+ABgBcwEyOpR48q9cgRNbr8cvkHB9s9pBot+MEH1fiOO3Ri0ybl59a+nvUAvAOhHQAc5tDXX+uTRx7RoMmT1WrAAA/eU4DpVK7azqduXcU2aKCGvr7KSU8/77vJAGAnQjsAOIiZ6U3Zu1ch4eEKjY6u0gNQf2LOi2HWyJv+7PEeuH3vE/m3vym3e3f9tV07uQsK7B4OAPwMoR0AHCQzOVmfjx6t/nfcoS733OOhezEzyW41aOCj+Hgz2w7DvKvhGxio3R9/TEEAOA6hHQAcoiA/X2unTFFU8+ZqNWyYB+/JtDXsqI4dm2rMGJbHFBnw0ksKDQvTxw8+6MHaA0DFENoBwCkKCpQ1dap6N2+uqJtu8uAdNbRCu1TVXWm8HwtjADgVoR0AHOJf112ndlFRajNrlsfu46673lVGRnbhEhkialkjly3T2dRUfTBypMceAwCoCEI7ADiAOzdX/RISVMffX36XXeax+9m9O0UFBeZA1PzCC0pq0KGDOemITu3eLXdeHsUB4BiEdgBwgD1XXKHUlBR92qSJh+/JtJDsWXg6odUevi/v4+Prq3GJiTq7fr2OPfCA3cMBgGKEdgCwWV5CgnIzMnTAz09jvv22Gu/ZzLjjfOeM/YHSAHAQQjsA2CzpxRe19IcfFDx6tLU0w7PMko+9kg4XrmtHWf4hIWr/i18od+dO5Xz3HQUC4AiEdgCw2QFJWZL6vfyyXB4P7TmStknaLumsh+/LOwWGhanv736nnLVrlbV0qd3DAQALoR0AbLRl7lyt++ILDZ4xQ4F161bTvfqoYcNQTZ06sJruz/uEt2+v2N//Xsf/93+VvXat3cMBAEI7ANjF7XYrLTFR6cnJaty9u3z9/avpnn0UGOivrl3p034+1h9Q7dopYd8+ZZ48aT1WAGAnP1vvHQBqsT0LF+qr//5v3TZ7thrFx1fTva4xq+jNXHI13Z/3avurXylq2zb9+5ZbdMvOnYr0YCtOALgYlscAgA3yzp7VyX37FBAVpZCoqGpYyy4dOJClrKyi3uzMHF+My8dHwU2bqmtIiIKZaQdgM0I7ANjg1N69Wjx+vLqNGaO4G2+slvv83e82afdu08wQlyp03DiFXXWVfli0SAWcbAmAjQjtAFDN8rKztXH6dLVs106tBlbfwaAu1xFJ2UVfVdv9ertcSYvHjVN+jum8AwD2ILQDQDUz4W/b3/+u7u3aKfbaa6vtfv+zwoNlMeUV++yzatmokf7961974mEBgEvCgagAUI1MF5K3r75ajVu1Uptp02ysfbCN9+1dgvr2Vac6dRTx1FN2DwVALUZoB4BqVJCTo+47diiqXTsFtmhhU+3bSepr0317pzbffSdXaKjdwwBQi7E8BgCq0bz27VXf318tvvuu2uv+U4Mal2JiCKDl4VOnTrV0+AGA8yG0A0A1Ofvdd2qdlaXQq6+2JQAWdS0053D6+uuIar9/AEDFEdoBoJqk/P73KkhKUtQHH9hU8zBJrSU1sen+AQAVRWgHgGqw9513lLZ9u3aYde02VPyTT3Zr06azkrqYfig2jAAAUBkciAoA1SDjm2+04cgR9Zs/X74BAdVe840bj2rfvpTClo+0fQQAb0NoBwAPy5o3T0lvvaXjkhr17CmXjx1vcsZJijYr683pnWy4fwBAZbA8BgA8bMeZM9qQmanhn36qerF2LU3xL+zNbl72F9k0BgBARRHaAcCDck6fVtrBgwpp2lSB9erZ2DbQXbianuUxAOCNWB4DAB6UtHmzvnzhBQ2eOlXNeve2sdYmsCdLOlm4RAYA4E0I7QDgIdnp6dr45ptq1L27Yvr0sbnOJrT/IGm/nn66n81jAQCUF8tjAMCDS2O2zJmjxl27KqZXL8e85I8ffyVn9wQAL8NMOwB4QEF+vuZed516xcfrquefd0iNfQpf9u1aVw8AqChm2gHAA/LOntXpPXvUMTxcYU2ccAbSvZJ2m0U7dg8EAFABhHYA8IAZLVqoVXS0mi9fbnt9MzPzlZqaY9O5WAEAVYHlMQBQxY6vXavr8/IUMnCgI9aOb9p0WgkJbl1/fSvraz8/5msAwNu43G63153POj09XeHh4UpLS1PdunXtHg4AlLKkRw9dtnmzYnNybDr7KQCgpmVa9iYAUIVOz5ypiMRERf75z5IDZtkBADUDoR0AqlD2ypU6fOKEgkaOdMTSGABAzcCadgCoIidee03JH3ygaz77TIGRkdQVAFBlmGkHgCrgzsnRweRkLfH1VXajRqxlBwBUKWbaAaAKpHz+uXa++KIGzJmjRl27UlMAQJViph0AKik7LU0bVq1SSocOqhsbSz0BAFWO0A4AlZRx9Ki+mTJFbW+5RS369aOeAIAqR2gHgErIO3tWix59VI179tTlI0dSSwCARxDaAaASCvLytH/5coU1aqQGHTpQSwCARxDaAaCCzAmlp8XGqn6bNrrjnXeoIwDAYwjtAFBBaYcOqSAzU+EtWsg/OJg6AgA8hpaPAFBBs6+9Vk19fHTvkiXUEADgUYR2AKiA3R9+qBZpaer00EPUDwDgcSyPAYAKSJ4xQx1PnlSrF16gfgAAjyO0A0A5bXjtNfl++60av/uuXAEB1A8A4HGEdgAoZ8eYFvv3KyktTQXdusnl60v9AAAeR2gHgHJIefttHf3LXzTg448V1qoVtQMAVAtCOwBcooKMDOXt36/TMTHKjYiQy+WidgCAakFoB4BLlLV1q9a+8IJcTzyh+n36UDcAQLUhtAPAJc6yJ7/xhvJ69FCLq66iZgCAakVoB4BLcDYzU4v/+U/5d+6spj17UjMAQLUitAPAJSgw/8TH65oXX6ReAIBqR2gHgIvIOX1ar8XFKahePYU1bky9AADVjtAOABcxLTZW/qGhGvXFF9QKAGALP3vuFgC8R2OXSyHXXUeLRwCAbZhpB4CLGPbww7p97lzqBACwDTPtAHARERMnUiMAgK2YaQcAAAAcjtAOAAAAOByhHQAAAHA4QjsAAADgcIR2AAAAwOEI7QAAAIDDEdoBAAAAhyO0AwAAAA5HaAcAAAAcjtAOAAAAOByhHQAAAHA4QjsAAADgcIR2AAAAwOEI7QAAAIDD+ckLud1u62N6errdQwEAAAAqpCjLFmXbGhfaMzIyrI/NmjWzeygAAABApbNteHj4BbdxuS8l2jtMQUGBdu3apQ4dOujQoUOqW7eu3UOqUX/xmT+GqCu19SY8b6mrt+E5S229Dc9ZzzAx3AT2Jk2ayMfHp+bNtJtfqmnTptbnJrAT2qsedfUcakttvQ3PWWrrjXjeUldvcbEZ9iIciAoAAAA4HKEdAAAAcDivDe2BgYF67rnnrI+grt6A5yy19TY8Z6mtN+J5S11rKq88EBUAAACoTbx2ph0AAACoLQjtAAAAgMMR2gEAAACHI7QDAAAADkdoBwAAABzOK0P73/72N8XGxiooKEjdu3fXV199ZfeQHO/LL7/UTTfdZJ0m1+Vy6aOPPip1vWkiNHHiROv64OBgXXPNNUpISCi1TXZ2tsaOHauoqCiFhobq5ptv1uHDh1WbTZo0ST179lRYWJgaNmyoW2+9Vbt27Sq1DbUtvzfeeENdunQpPqNh79699dlnn1FTDz2HzWvCE088QX0rybyGmlqWvDRq1Ii6VoEjR45o5MiRql+/vkJCQtS1a1dt3LiR2lZSy5Ytf/acNZdHHnnEup79l8O4vcz8+fPd/v7+7jfffNO9fft29+OPP+4ODQ11JyYm2j00R/v000/dEyZMcH/wwQemxad7wYIFpa5/+eWX3WFhYdb133//vXv48OHuxo0bu9PT04u3eeihh9xNmzZ1L1261L1p0yb3tdde67788svdeXl57tpq8ODB7lmzZrm3bdvm3rx5s3vo0KHu5s2bu0+fPl28DbUtv4ULF7oXLVrk3rVrl3V59tlnrf/3ps7UtOqsW7fO3bJlS3eXLl2s11Kes5Xz3HPPuTt27Og+duxY8SU5OZm6VtKpU6fcLVq0cI8ePdr97bffuvfv3+9etmyZ+4cffqC2lWSenyWfr2b/bjLCihUrrOvZfzmL14X2Xr16WeGxpHbt2rmffvpp28bkbcqG9oKCAnejRo2s/5xFzp496w4PD3f//e9/t75OTU21QpP5o6nIkSNH3D4+Pu7PP/+8mn8DZ78AmvquWrXK+praVp2IiAj3W2+9RU2rSEZGhjsuLs7aSffv3784tPOcrVxoNxMZ50JdK+73v/+9u1+/fue9ntpWHfM60Lp1a6um1NV5vGp5TE5OjvV22KBBg0p933y9Zs0a28bl7fbv36+kpKRSdTVnlOvfv39xXU3dc3NzS21jltJ06tSJ2peQlpZmfYyMjKS2VSQ/P1/z589XZmamtUyG52vVMG9/Dx06VAMHDiz1fepbOXv27LFeG80Szl/+8pfat28fda2khQsXqkePHrrzzjutZYjx8fF68803ec56IGPNnTtX9913n7VEhtcC5/Gq0H7ixAlrBx4dHV3q++ZrEzpRMUW1u1BdzceAgABFRERQ+/Mwb2KMHz9e/fr1s/6YobaV8/3336tOnTrWH5APPfSQFixYoA4dOvB8rQLmj6BNmzZZ69nL4vWg4q644grNmTNHixcvtkKlqWWfPn108uRJ6loJ5g8fc5xLXFycVVvzevDYY49ZteY5W3XMsW6pqakaPXo0dXUoP3kh8xdg2bBU9nuonrpS+588+uij2rp1q1avXk1tq0Dbtm21efNmayfywQcfaNSoUVq1ahXP10o6dOiQHn/8cS1ZssQ6mP98eD0ovyFDhhR/3rlzZ+udodatW2v27Nm68sorqWsFFRQUWDPtL730kvW1mWk3jRJMkP/Vr37Fc7aKzJw503oOm3eKSuK1wDm8aqbddC3x9fX92ax6cnLyz2aJcemKuhtcqK5mG/PWWUpKCrU/B9NVx7yFu2LFCsXExFDbKmDe2bnsssusnbWZEb788sv1l7/8hedrJZmlbub/tum85efnZ13MH0Ovvfaa9XnR/3leDyrPdNky4d0smeF1tuIaN25svctWUvv27XXw4EHrc2pbeYmJiVq2bJnGjBlT/D3q6jw+3rYTNzuapUuXlvq++dq8BYmKMWsvzX/OknU1Ad3syIvqauru7+9faptjx45p27Zttbr25p0GM8P+4Ycfavny5VYtS6K2VVtr03aUmlbOgAEDrKVH5l2Moov5w+iee+6xPm/VqhWvB1XEPF937NhhhU6etxXXt2/fn7XS3b17t1q0aGF9Tm0rb9asWdbxAuY4lyLU1YHcXtrycebMmVbLxyeeeMJq+XjgwAG7h+b4ThHfffeddTEP+5QpU6zPi1plms4xplvMhx9+aLV8HDFixDlbPsbExFittkzLx+uuu67Wt3z8zW9+Y9Vt5cqVpdpmnTlzprhu1Lb8nnnmGfeXX35ptXbbunWr1fLRdCpasmQJNfWAkt1jDJ6zFfPkk09arwX79u1zr1271j1s2DCrlW7R/om6Vrw1qZ+fn/vFF19079mzx/3Pf/7THRIS4p47dy7P2SqQn59vtSo2XXrK4jnrLF4X2o3XX3/d6tkaEBDg7tatW3F7PZyf6blqwnrZy6hRo6zrTWsn067MtH4MDAx0X3311VZ4LykrK8v96KOPuiMjI93BwcHWDungwYO1uuznqqm5mN7tRaht+d13333F/8cbNGjgHjBgQHFgp6aeD+08Zyum6PwWZmKpSZMm7ttvv92dkJBAXavAxx9/7O7UqZO1fzJtnmfMmFHqep6zFbd48WJrv2XOiVEWdXUWl/nH7tl+AAAAADVkTTsAAABQGxHaAQAAAIcjtAMAAAAOR2gHAAAAHI7QDgAAADgcoR0AAABwOEI7AAAA4HCEdgAAAMDhCO0AAACAwxHaAQAAAIcjtAMAAABytv8Pl5d9fjdNRDYAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "s = mtg_scene(g109,prop_cmap='order', visitor=turtle_millet.visitor2) \n", + "view(s) # use PlantGL(s) to display in 3D" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3edb203c-1e3a-4b4e-a026-dbd045cd9cf3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['edge_type',\n", + " 'label',\n", + " 'order',\n", + " 'position_index',\n", + " 'length',\n", + " 'position',\n", + " 'relative_position',\n", + " 'radius',\n", + " 'color',\n", + " 'xyz']" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "g109.property_names()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8057eb02-f66c-43db-b3f4-44c9a3796a77", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/src/openalea/hydroroot/millet/conductance.py b/src/openalea/hydroroot/millet/conductance.py index e0dbf35e..f4e96379 100644 --- a/src/openalea/hydroroot/millet/conductance.py +++ b/src/openalea/hydroroot/millet/conductance.py @@ -5,7 +5,7 @@ """ import numpy as np -from scipy.interpolate import UnivariateSpline +#from scipy.interpolate import UnivariateSpline def fit_property_from_spline(g, spline, prop_in, prop_out): """ compute a property from another one using a spline transformation. @@ -16,7 +16,7 @@ def fit_property_from_spline(g, spline, prop_in, prop_out): #spline = UnivariateSpline(x, y, s=s) keys = g.property(prop_in).keys() - x_values = np.array(list(g.property(prop_in).values())) # g.property(prop_in).values() return a dict_values object, need to be converted a list first + x_values = np.array(g.property(prop_in).values()) y_values = spline(x_values) @@ -24,57 +24,3 @@ def fit_property_from_spline(g, spline, prop_in, prop_out): return g -def compute_K_from_laws(g, seminal_law=None,crown_law=None, lateral_law=None,): - """ - - Compute axial hydraulic conductance (K) for each MTG vertex from - user-defined laws as a function of the vertex position along the axis. - - - Parameters - ---------- - g : MTG - Multi-scale Tree Graph containing root architecture. - - seminal_law : callable, optional - Function f(x) -> K defining axial conductance for seminal roots - - crown_law : callable, optional - Function f(x) -> K defining axial conductance for crown roots. - - lateral_law : callable, optional - Function f(x) -> K defining axial conductance for lateral roots - - Returns - ------- - g : MTG - The input MTG with a new vertex property 'K' added. - - """ - K={} - - positions= g.property('relative_position') - orders = g.property('order') - - for vid in g.vertices_iter(g.max_scale()): - label = g.label(vid) - pos = positions[vid] - if label == "Crown": - K_val = crown_law(pos) - - elif label == "Seminal": - K_val = seminal_law(pos) - - elif label == "Lateral": - K_val = lateral_law(pos) - - else: - # fallback (e.g., collet or unknown types) - K_val = seminal_law(pos) - - K[vid] = K_val - - # Store property in the MTG - g.properties()['K'] = K - - return g diff --git a/src/openalea/hydroroot/millet/display_millet.py b/src/openalea/hydroroot/millet/display_millet.py index 6b978c39..5dfa4a1a 100644 --- a/src/openalea/hydroroot/millet/display_millet.py +++ b/src/openalea/hydroroot/millet/display_millet.py @@ -19,7 +19,7 @@ from openalea.plantgl import * import openalea.plantgl.all as pgl -from openalea.hydroroot.millet import turtle, law +from openalea.hydroroot.millet import turtle_millet as turtle, law from openalea.hydroroot.display import my_colormap ######################################################################################## diff --git a/src/openalea/hydroroot/millet/law.py b/src/openalea/hydroroot/millet/law.py index a2497c47..779a2006 100644 --- a/src/openalea/hydroroot/millet/law.py +++ b/src/openalea/hydroroot/millet/law.py @@ -154,36 +154,6 @@ def f(k,fn = function): law = f return law -def diameter_law2(data_xy, function=None, plot= True): - - """this function checks the the best paramters of the fonction that fit the data""" - - x,y = read_data(data_xy, scale_x=1e-2, scale_y=1e-6) - #convert to float - x = np.asarray(x, dtype=float) - y = np.asarray(y, dtype=float) - - # Normalize x to have a relative position - #x = list(np.array(x)/np.max(np.array(x))) - x = x / np.max(x) - #The popt argument are the best-fit paramters for a and b - popt, pcov = curve_fit(function, x, y) - #Simulate y-data using best-fit parameters - yy= function(x,*popt) - - - if plot: - pylab.plot(x,y,'ko', label="Original Data") - pylab.plot(x, yy, 'r-', label="Fitted Curve") - pylab.legend() - - def f(k,fn = function): - return fn(k,*popt) - - law = f - return law - - def compute_radius_from_laws(g, seminal_RootDiameter_law=None, @@ -218,62 +188,12 @@ def compute_radius_from_laws(g, # ************** Here we define evolution diameter laws of different root types************************ - -def compute_diameter_from_laws(g, - seminal_RootDiameter_law=None, - crown_RootDiameter_law=None, - lr_RootDiameter_law=None - ): - """ - calculate and add diameter as a propoerty to the MTG - - :params: - - g: MTG - - seminal_RootDiameter_law: law of seminal root diameter - - crown_RootDiameter_law: law of crown root diameter - - lateral_RootDiameter_law: law of lateral root diameter - - :returns: - g: MTg with diameter property - """ - - diameters = {} - order= g.property('order') - positions = g.property('relative_position') - for vid in g.vertices_iter(g.max_scale()): - # collet or Seminal - if order[vid] == 0: - diameters[vid] = seminal_RootDiameter_law(positions[vid]) - else: - if g.label(vid)== "Crown": - diameters[vid] = crown_RootDiameter_law(positions[vid]) - else: # laterals - diameters[vid] = lr_RootDiameter_law(positions[vid]) - - g.properties()['diam'] = diameters - - return g - - -def compute_radius_from_diameter(g): - """ - Calculate and add radius to MTG as a property from diameter values - """ - radius = {} - diameters= g.property('diam') - for i,d in diameters.items(): - radius[i] = d/2. - g.properties()['radius'] = radius - - return g - def compute_diameter(g, seminal_RootDiameter_law=None, crown_RootDiameter_law=None, lr_RootDiameter_law=None, segment_length = 1e-4): - diameters = {} order= g.property('order') g = radius.compute_length(g, segment_length) @@ -315,8 +235,6 @@ def radius_from_computed_diameters(g): return g - - ############################################################################### def age_law(data_xy, segment_length = 1e-4,scale_x =1, scale_y = 1.e-2, plot= True): @@ -396,82 +314,6 @@ def developmental_age(g, nude_tip_length=15): return g - - def developmental_age2(g, nude_tip_length=0.0206): - """ Compute the developmental age of each vertex. - - A new property is added to the MTG that represent the age of apparition of the segment. - It allows to express a dynamic as a parametrisation. - """ - age = {} - # convert nude_tip_length to nb of vertices: for a 75cm root, the length of nude tip is 15cm - nude_tip_length = (nude_tip_length * 0.15) / 0.75 - - #-------------------------------------- - # Seminal - #-------------------------------------- - is_primary = lambda v: g.label(v) == 'Seminal' or g.label(v)=='collet' - - for v in post_order2(g, 1, pre_order_filter=is_primary): - if g.is_leaf(v): - age[v] = 0 - else: - age[v] = max(age.get(cid,0) for cid in g.children(v))+1 - - age_max = age[1] - - k, v = np.array(list(age.keys())), np.array(list(age.values())) - v = age_max - v - - age = dict(zip(list(k), list(v))) - - delta = nude_tip_length - - for v in pre_order2_with_filter(g, 1, pre_order_filter=is_primary): - pid = g.parent(v) - if g.edge_type(v) =='+': - age_p, age_v = age[pid], age[v] - if age_p +delta < age_v: - age[v] = age_p + delta # replace by a stat distribution rather than min - elif pid is not None: - age[v] = age[pid] + 1 - - #--------------------------------------------------------------- - # Crown: they appear 6 days after germination from the root base - #--------------------------------------------------------------- - - delta_crown_age = 6 - - root_crowns = [v for v in g if g.label(v) == 'Crown' and g.label(v) != g.label(g.parent(v))] - - speed = 1. - for v in root_crowns: - date = delta_crown_age - for cid in axis(g, v): - age[cid] = date - date += speed - - - #-------------------------------------------------------------------- - # Lateral: they appear 6 days after germination from the primary root - #-------------------------------------------------------------------- - - delta_crown_age = 6 - - root_laterals = [v for v in g if g.label(v) == 'Lateral' and g.label(v) != g.label(g.parent(v))] - - speed = 1. - for v in root_laterals: - date = delta_crown_age - for cid in axis(g, v): - age[cid] = date - date += speed - - - - # Store the property in the MTG - g.properties()['age'] = age - return g ########################################################################################################### diff --git a/src/openalea/hydroroot/millet/turtle.py b/src/openalea/hydroroot/millet/turtle_millet.py similarity index 100% rename from src/openalea/hydroroot/millet/turtle.py rename to src/openalea/hydroroot/millet/turtle_millet.py diff --git a/src/openalea/hydroroot/read_file.py b/src/openalea/hydroroot/read_file.py index 26e06b64..631ab07f 100644 --- a/src/openalea/hydroroot/read_file.py +++ b/src/openalea/hydroroot/read_file.py @@ -1,14 +1,14 @@ import numpy as np import pandas as pd -def readCSVFile(filename, delimiter=";"): +def readCSVFile(filename): """Read and extract data from a csv file, supposed that the data is stored in 2 columns. :param filename: string :returns: - data (array) - record array of (x, y) values, column headers recorded in dtype """ - data = np.genfromtxt(filename,delimiter=delimiter,names=True) + data = np.genfromtxt(filename,delimiter=';',names=True) return data def read_archi_data(fn): From 1edc5e24b4c19cdb85df87ee7d900dbb45796f9d Mon Sep 17 00:00:00 2001 From: NDOUR Date: Thu, 19 Feb 2026 23:04:41 +0300 Subject: [PATCH 11/12] updating architecture simulation and calculation of hydraulic architecture --- .../millet/Simulating_archicture.ipynb | 917 ++++++++++++++++++ src/openalea/hydroroot/millet/conductance.py | 29 + src/openalea/hydroroot/millet/law.py | 158 +++ src/openalea/hydroroot/millet/turtle.py | 256 +++++ 4 files changed, 1360 insertions(+) create mode 100644 doc/example/millet/Simulating_archicture.ipynb create mode 100644 src/openalea/hydroroot/millet/turtle.py diff --git a/doc/example/millet/Simulating_archicture.ipynb b/doc/example/millet/Simulating_archicture.ipynb new file mode 100644 index 00000000..1bd15397 --- /dev/null +++ b/doc/example/millet/Simulating_archicture.ipynb @@ -0,0 +1,917 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2e095779-4a3f-4330-a131-d5fac2b265f5", + "metadata": {}, + "source": [ + "## Load packages" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "id": "27a65c43-8622-4ff8-a641-b2afe382d303", + "metadata": {}, + "outputs": [], + "source": [ + "import openalea.mtg as mtg\n", + "from openalea.hydroroot.main import root_builder\n", + "from openalea.hydroroot.radius import compute_length, compute_relative_position" + ] + }, + { + "cell_type": "markdown", + "id": "c7c58eb3-8e5c-40fe-8149-786209324327", + "metadata": {}, + "source": [ + "## Compute architecture from architectural parameters and laws" + ] + }, + { + "cell_type": "markdown", + "id": "6fef8c24-8666-48c9-b93c-7bfa8d0783d9", + "metadata": {}, + "source": [ + "| Lignée | No. de plantes | Longueur racine séminale (cm) Moyenne (e.t) | No. de racines coronaires Moyenne (e.t) | No. de racines latérales Moyenne (e.t) |\n", + "|-------|----------------|----------------------------------------------|-----------------------------------------|----------------------------------------|\n", + "| 57 | 46 | 10.3 (6.4) | 0.17 (0.68) | 3.1 (3.9) |\n", + "| 109 | 76 | 20.2 (8.6) | 0.54 (1.1) | 14.1 (14.3) |\n" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "id": "937c0dcd-dc5c-4e6f-b001-0de89a5514e9", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot.millet import architecture, age\n", + "from openalea.hydroroot.millet.architecture import millet_mtg2\n", + "import importlib\n", + "importlib.reload(architecture)\n", + "\n", + "g57 = millet_mtg2(\n", + " seed=1,\n", + " primary_length=0.103,\n", + " nude_tip_length=0.03,\n", + " nb_crown=1,\n", + " n_laterals_primary=3, # explicit count\n", + " lateral_length=0.02,\n", + " segment_length=1e-3, \n", + ")\n", + "g109 = millet_mtg2(\n", + " seed=1,\n", + " primary_length=0.202,\n", + " nude_tip_length=0.03,\n", + " nb_crown=4,\n", + " n_laterals_primary=10, # explicit count\n", + " lateral_length=0.05,\n", + " segment_length=1e-3, \n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "0a0912ce-fafd-4e40-83d6-4e31837419d6", + "metadata": {}, + "source": [ + "## Compute length and position" + ] + }, + { + "cell_type": "markdown", + "id": "873b51aa-7d08-4888-9dea-b136342e5fef", + "metadata": {}, + "source": [ + "* **57**" + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "id": "4acc9050-4c07-4254-aa1d-e99860243994", + "metadata": {}, + "outputs": [], + "source": [ + "g57 = compute_length(g57)\n", + "g57 = compute_relative_position(g57)" + ] + }, + { + "cell_type": "markdown", + "id": "d55a647f-ff0e-439c-a207-87f2e9be5519", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "id": "166b5c05-80d0-4350-898f-2437c439adc7", + "metadata": {}, + "outputs": [], + "source": [ + "g109 = compute_length(g109)\n", + "g109 = compute_relative_position(g109)" + ] + }, + { + "cell_type": "markdown", + "id": "b461601a-aa45-4bf6-8490-96cb23cc12df", + "metadata": {}, + "source": [ + "## Compute diameter property using evolution laws" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "efb443dc-67fe-467d-98f5-6af2d7116d15", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot import read_file\n", + "from importlib import reload" + ] + }, + { + "cell_type": "markdown", + "id": "a642410b-69ea-40b8-978c-bc4e45b09fce", + "metadata": {}, + "source": [ + "- **Load diameter data for the different root types**" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "id": "67b9afea-c0bb-4ff2-8556-fd8cf599d6df", + "metadata": {}, + "outputs": [], + "source": [ + "sr_xy = read_file.readCSVFile(\"SR_diameters.csv\", delimiter=\",\")\n", + "cr_xy = read_file.readCSVFile(\"CR_diameters.csv\", delimiter=\";\")\n", + "lr_xy = read_file.readCSVFile(\"LR_diameters.csv\", delimiter=\";\")" + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "id": "ad233424-3b4e-498e-95d8-d5dcb0f4a49f", + "metadata": {}, + "outputs": [], + "source": [ + "# convert to dataframe\n", + "import pandas as pd\n", + "sr_xy = pd.DataFrame(sr_xy)\n", + "cr_xy = pd.DataFrame(cr_xy)\n", + "lr_xy = pd.DataFrame(lr_xy)" + ] + }, + { + "cell_type": "markdown", + "id": "11813448-4f1c-41d9-b582-b383ef824c7e", + "metadata": {}, + "source": [ + "- **Estimate the laws from the data by determing the best params of the affine function**" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "id": "7abdbf06-5022-4418-a3b5-2578a597cfac", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 150, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from openalea.hydroroot.millet import law; reload(law)" + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "id": "2236335a-f36f-4717-8720-16f70ea99aa6", + "metadata": {}, + "outputs": [], + "source": [ + "def affine_f(x, a, b):\n", + " return a * x + b" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "id": "9086ee80-fbb9-4e58-b55a-dc48ebb6b861", + "metadata": {}, + "outputs": [], + "source": [ + "sr_diam_law = law.diameter_law2(sr_xy, function=affine_f, plot=False)\n", + "cr_diam_law = law.diameter_law2(cr_xy, function=affine_f, plot=False)\n", + "lr_diam_law = law.diameter_law2(lr_xy, function=affine_f, plot=False)" + ] + }, + { + "cell_type": "markdown", + "id": "39df3861-836f-4e68-8246-638bc4c42850", + "metadata": {}, + "source": [ + "- **Calculate diameter and radius**" + ] + }, + { + "cell_type": "markdown", + "id": "52149881-9f96-4410-8e70-70da271399ea", + "metadata": {}, + "source": [ + " **57** " + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "id": "99295687-87c2-48a6-abfe-255b66a1e64b", + "metadata": {}, + "outputs": [], + "source": [ + "# calculate diameter\n", + "g57 = law.compute_diameter_from_laws(g57, seminal_RootDiameter_law= sr_diam_law,crown_RootDiameter_law= cr_diam_law,lr_RootDiameter_law= lr_diam_law)\n", + "# calculate radius\n", + "g57 = law.compute_radius_from_diameter(g57)" + ] + }, + { + "cell_type": "markdown", + "id": "f41cd528-53fd-4939-9184-389f29b8f399", + "metadata": {}, + "source": [ + " **109** " + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "id": "f2234503-eafc-426e-9b67-d05144ed0036", + "metadata": {}, + "outputs": [], + "source": [ + "# calculate diameter\n", + "g109 = law.compute_diameter_from_laws(g109, seminal_RootDiameter_law= sr_diam_law,crown_RootDiameter_law= cr_diam_law,lr_RootDiameter_law= lr_diam_law)\n", + "# calculate radius\n", + "g109 = law.compute_radius_from_diameter(g109)" + ] + }, + { + "cell_type": "markdown", + "id": "e01ec6f7-e2e2-4317-b0ac-934f6b8526be", + "metadata": {}, + "source": [ + "## Compute age of each vertex on the MTG" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "id": "b11b1744-4419-4a48-aeb3-25664dafa6d0", + "metadata": {}, + "outputs": [], + "source": [ + "g57 = age.compute_age_with_constant_growth_speed(g57)\n", + "g109 = age.compute_age_with_constant_growth_speed(g109)" + ] + }, + { + "cell_type": "markdown", + "id": "7d196eb2-3123-4122-b853-cc0676e18d19", + "metadata": {}, + "source": [ + "## Visualizing architectures" + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "id": "873d6970-5877-4148-9513-0e021b0fbe54", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.plantgl.algo.view import view # 2D view\n", + "from openalea.widgets.plantgl import PlantGL # notebook viewer 3D\n", + "from openalea.hydroroot.display import mtg_scene\n", + "from openalea.hydroroot.millet import turtle as turtle_millet" + ] + }, + { + "cell_type": "markdown", + "id": "08c19c5e-b830-4330-80b4-50b9829ff8f6", + "metadata": {}, + "source": [ + "* 57" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "id": "bf6594b5-d261-45da-a51d-fe0545611cf7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "s = mtg_scene(g57,prop_cmap='age') \n", + "view(s) " + ] + }, + { + "cell_type": "markdown", + "id": "cfdc8748-e7b6-4a2d-a185-6e510d8d1c1e", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "id": "43d254d4-ce11-4643-9ccf-4f8469a91696", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "s = mtg_scene(g109,prop_cmap='age') \n", + "view(s) # use PlantGL(s) to display in 3D" + ] + }, + { + "cell_type": "markdown", + "id": "a230e93c-02d4-4c49-880b-2cadb59f26cd", + "metadata": {}, + "source": [ + "## Calculation of axial conductances K from the evolution laws" + ] + }, + { + "cell_type": "markdown", + "id": "e365d8e1-e368-4d67-ab47-92f8606d0b3d", + "metadata": {}, + "source": [ + "### Define laws for the different root types" + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "id": "d917bf82-b596-4b14-b33d-55a41c08254e", + "metadata": {}, + "outputs": [], + "source": [ + "# Laws are defined with respect to relative position, so experimental laws are slightly modified\n", + "sr_law = lambda x: 2135.05* (x * 29.5) + 21338.63 # x is replace by r * xmax where r is the relative position\n", + "cr_law = lambda x: 9228.45* (x *17.4) + 42600.14\n", + "lr_law = lambda x: 2951.65* (x * 13.6) + 2720.09" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "id": "2fc84bd3-a262-4d74-9a80-d7405761e3d3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 160, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from openalea.hydroroot.millet import conductance as conductance_millet; reload(conductance)" + ] + }, + { + "cell_type": "markdown", + "id": "1f77ccca-e5f2-448a-a128-b6d6fcd02bc4", + "metadata": {}, + "source": [ + "### Compute K for the lines" + ] + }, + { + "cell_type": "markdown", + "id": "8930037c-5a33-46da-b28d-48bcb522e767", + "metadata": {}, + "source": [ + "* **57**" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "id": "9e42932a-0571-4c6e-8d7e-99c1e6299fde", + "metadata": {}, + "outputs": [], + "source": [ + "g57 = conductance_millet.compute_K_from_laws(g57, sr_law, cr_law, lr_law)" + ] + }, + { + "cell_type": "markdown", + "id": "e65813b4-04e8-4f64-8d1c-a3851a7a9545", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "id": "1a0169de-5df3-4ef7-a47b-d83b7c9c1f75", + "metadata": {}, + "outputs": [], + "source": [ + "g109 = conductance_millet.compute_K_from_laws(g109, sr_law, cr_law, lr_law)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dce1b59f-7ec9-454e-b65e-615b683abd2a", + "metadata": {}, + "outputs": [], + "source": [ + "s = mtg_scene(g109, prop_cmap='K')\n", + "view()" + ] + }, + { + "cell_type": "markdown", + "id": "17dce9b3-528f-4c5d-bd91-1e688300d0f9", + "metadata": {}, + "source": [ + " ## Compute surface and volume for the lines" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "d6df51aa-3293-4d85-ab89-3b35a91d9e13", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot import radius" + ] + }, + { + "cell_type": "markdown", + "id": "de747bef-3e38-4598-8817-b14c67ecef2e", + "metadata": {}, + "source": [ + "* **57**" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "d8f5880e-4877-4261-b980-9f03ebd8d5e6", + "metadata": {}, + "outputs": [], + "source": [ + "g57, surface57 = radius.compute_surface(g57)\n", + "g57, volume57 = radius.compute_volume(g57)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "c5b034e5-2e2b-4372-addd-cea2d8c41c23", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "surface (sq. meters): 9.497065092701509e-06\n", + "volume (cube meters): 3.297623262612453e-10\n" + ] + } + ], + "source": [ + "print( 'surface (sq. meters): ',surface57)\n", + "print ('volume (cube meters): ',volume57)" + ] + }, + { + "cell_type": "markdown", + "id": "a7f8a0b8-64cf-4d26-ace0-2917a6d05f99", + "metadata": {}, + "source": [ + "* **109**" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "id": "3a474218-d78c-423f-9d47-0771e1c495dd", + "metadata": {}, + "outputs": [], + "source": [ + "g109, surface109 = radius.compute_surface(g109)\n", + "g109, volume109 = radius.compute_volume(g109)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "fb4a38a1-161f-4576-b0cb-3713a4c907a7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "surface (sq. meters): 3.634075428164427e-05\n", + "volume (cube meters): 1.1328779032705608e-09\n" + ] + } + ], + "source": [ + "print( 'surface (sq. meters): ',surface109)\n", + "print ('volume (cube meters): ',volume109)" + ] + }, + { + "cell_type": "markdown", + "id": "f09b2319-8ae7-49d0-8ebb-e7b54ef9a19e", + "metadata": {}, + "source": [ + "## Compute the radial conductances" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "9b6b17a4-de9c-47ce-a5d5-fc72cccbecc5", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot.length import fit_law\n", + "from openalea.hydroroot import conductance" + ] + }, + { + "cell_type": "markdown", + "id": "d73485fd-8516-4767-bbe0-2a482ffc5e4a", + "metadata": {}, + "source": [ + "### Define data with respect to the relative position" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "7cee8e2b-3b10-4ac7-9425-8ae40109196c", + "metadata": {}, + "outputs": [], + "source": [ + "radial_conductivity_data57 = ([0,1], [300., 300.])\n", + "radial_conductivity_data109 = ([0,1], [300., 300.])" + ] + }, + { + "cell_type": "markdown", + "id": "5367dedb-ea84-4b61-9b8b-2ba44d15ac98", + "metadata": {}, + "source": [ + "### Radial law" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "c5afb0e5-86d3-40d0-9a56-010250baf724", + "metadata": {}, + "outputs": [], + "source": [ + "def radial_law(radial_data):\n", + " xr, yr = radial_data\n", + " radial_conductivity_law = fit_law(xr, yr)\n", + " return radial_conductivity_law" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "ecb71871-5c9a-4dfb-a33f-98be3620d95b", + "metadata": {}, + "outputs": [], + "source": [ + "radial_law57 = radial_law(radial_conductivity_data57)\n", + "radial_law109 = radial_law(radial_conductivity_data109)" + ] + }, + { + "cell_type": "markdown", + "id": "03880815-6b0a-42ab-a433-a9554ebfb706", + "metadata": {}, + "source": [ + "### compute radial conducances" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "6d805ceb-932e-4df2-a401-986cbf0c8a2d", + "metadata": {}, + "outputs": [], + "source": [ + "g57 = conductance_millet.fit_property_from_spline(g57, radial_law57, 'relative_position', 'k0')\n", + "g57 = conductance.compute_k(g57, k0='k0')" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "6c49c7d4-95c4-4995-b69d-8e77e6a97684", + "metadata": {}, + "outputs": [], + "source": [ + "g109 = conductance_millet.fit_property_from_spline(g109, radial_law109, 'relative_position', 'k0')\n", + "g109 = conductance.compute_k(g109, k0='k0')" + ] + }, + { + "cell_type": "markdown", + "id": "27754a99-ea35-4ddf-af73-06be462c9cd7", + "metadata": {}, + "source": [ + "## Use HydroRoot model to compute Water flux" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "c2fea737-3262-48ff-b579-b217ceb0b14b", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot import flux" + ] + }, + { + "cell_type": "markdown", + "id": "de89cba8-0906-44b6-8557-dff1af043ad0", + "metadata": {}, + "source": [ + "### Define hydraulic params" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "32ac5965-b4ab-4912-a16b-1e9f0dfd6f56", + "metadata": {}, + "outputs": [], + "source": [ + "# parameters\n", + "Jv = 0.1\n", + "psi_e = 0.4\n", + "psi_base = 0.1" + ] + }, + { + "cell_type": "markdown", + "id": "4576d4f7-0751-4a58-9107-20e703bfa4c6", + "metadata": {}, + "source": [ + "### Computation of flux in millet root system" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "a60f2eb8-83fe-4f39-ad32-77b9eecae1bf", + "metadata": {}, + "outputs": [], + "source": [ + "#57\n", + "g57 = flux.flux(g57, Jv, psi_e, psi_base, invert_model=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "c89698c6-0a2b-4489-b5e6-a0710120c370", + "metadata": {}, + "outputs": [], + "source": [ + "#109\n", + "g109 = flux.flux(g109, Jv, psi_e, psi_base, invert_model=True)" + ] + }, + { + "cell_type": "markdown", + "id": "968a3282-1205-482d-a4f3-14a55c0d8c26", + "metadata": {}, + "source": [ + "### Visualizing water fluxes for two architecturally contrasted millet lines" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "id": "eca27e97-a01b-404a-addf-4110e7f97f63", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c3bf5679f05f438d8d8b0fec244bca17", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Plot(antialias=3, axes=['x', 'y', 'z'], axes_helper=1.0, axes_helper_colors=[16711680, 65280, 255], background…" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s57 = mtg_scene(g57,prop_cmap='j')\n", + "#s109 = mtg_scene(g109,prop_cmap='j') \n", + "PlantGL(s57)\n", + "#PlantGL(s109)" + ] + }, + { + "cell_type": "markdown", + "id": "d5c38c4f-38e0-445b-99c4-d91f1ddbbacd", + "metadata": {}, + "source": [ + "### Calculate global water at the root base" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "b8e36e09-b2b8-4462-8b2a-5737b1dba990", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea import plantgl as pgl # 2D view\n", + "from openalea.widgets import plantgl as wgl" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "id": "340dbc3b-85f5-4bc8-aa91-6740ca2c081e", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_Jv_global(g, HAS_SOIL=False):\n", + " Keqs = g.property('Keq')\n", + " v_base = next(g.component_roots_at_scale_iter(g.root, scale=1))\n", + " Keq = Keqs[v_base]\n", + " \n", + " if HAS_SOIL:\n", + " psi_e_base = g.property('psi_e')[v_base]\n", + " else:\n", + " psi_e_base = psi_e\n", + " Jv_global = Keq * (psi_e_base - psi_base)\n", + " return Jv_global" + ] + }, + { + "cell_type": "markdown", + "id": "3266a1c9-29f0-4ecd-a537-76ad09dfbe97", + "metadata": {}, + "source": [ + "* **57**" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "ae17b59b-88fb-4caa-af76-9178d6d5a0b6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Global water flux (microL/s): 0.0008547352629919072\n" + ] + } + ], + "source": [ + "J57 = compute_Jv_global(g57)\n", + "print(f'Global water flux (microL/s): {J57}')" + ] + }, + { + "cell_type": "markdown", + "id": "ed37a672-b7a0-4c5f-a47f-c1fc79102293", + "metadata": {}, + "source": [ + "* **109** " + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "id": "1aaf92ba-4b23-4419-9c53-e8465479e054", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Global water flux (microL/s): 0.0032706488579380003\n" + ] + } + ], + "source": [ + "J109 = compute_Jv_global(g109)\n", + "print(f'Global water flux (microL/s): {J109}')" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "id": "4016861a-f178-451d-87fb-7dbeae79c0c1", + "metadata": {}, + "outputs": [], + "source": [ + "from openalea.hydroroot.display import property_scale_bar" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ab9221c5-dd09-4378-b819-5bd84932e0d5", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/src/openalea/hydroroot/millet/conductance.py b/src/openalea/hydroroot/millet/conductance.py index f4e96379..030504c5 100644 --- a/src/openalea/hydroroot/millet/conductance.py +++ b/src/openalea/hydroroot/millet/conductance.py @@ -24,3 +24,32 @@ def fit_property_from_spline(g, spline, prop_in, prop_out): return g + +def compute_K_from_laws(g, seminal_axial_conductivity_law, crown_axial_conductivity_law, lateral_axial_conductivity_law): + """ + + compute the axial conductance K versus the vertex position according to some laws and to the root types: crown, seminal, + laterals + + :param g: (MTG) + + """ + K={} + + + positions= g.property('relative_position') + orders = g.property('order') + + for vid in g.vertices_iter(g.max_scale()): + if g.label(vid)=='Crown': + K[vid] = crown_axial_conductivity_law(positions[vid]) + elif g.label(vid) == 'Seminal' : + K[vid] = seminal_axial_conductivity_law(positions[vid]) + elif g.label(vid) == 'Lateral' : + K[vid] = lateral_axial_conductivity_law(positions[vid]) + else: # for the collet and other unknown tpes + K[vid] = seminal_axial_conductivity_law(positions[vid]) + + g.properties()['K'] = K + + return g diff --git a/src/openalea/hydroroot/millet/law.py b/src/openalea/hydroroot/millet/law.py index 779a2006..a2497c47 100644 --- a/src/openalea/hydroroot/millet/law.py +++ b/src/openalea/hydroroot/millet/law.py @@ -154,6 +154,36 @@ def f(k,fn = function): law = f return law +def diameter_law2(data_xy, function=None, plot= True): + + """this function checks the the best paramters of the fonction that fit the data""" + + x,y = read_data(data_xy, scale_x=1e-2, scale_y=1e-6) + #convert to float + x = np.asarray(x, dtype=float) + y = np.asarray(y, dtype=float) + + # Normalize x to have a relative position + #x = list(np.array(x)/np.max(np.array(x))) + x = x / np.max(x) + #The popt argument are the best-fit paramters for a and b + popt, pcov = curve_fit(function, x, y) + #Simulate y-data using best-fit parameters + yy= function(x,*popt) + + + if plot: + pylab.plot(x,y,'ko', label="Original Data") + pylab.plot(x, yy, 'r-', label="Fitted Curve") + pylab.legend() + + def f(k,fn = function): + return fn(k,*popt) + + law = f + return law + + def compute_radius_from_laws(g, seminal_RootDiameter_law=None, @@ -188,12 +218,62 @@ def compute_radius_from_laws(g, # ************** Here we define evolution diameter laws of different root types************************ + +def compute_diameter_from_laws(g, + seminal_RootDiameter_law=None, + crown_RootDiameter_law=None, + lr_RootDiameter_law=None + ): + """ + calculate and add diameter as a propoerty to the MTG + + :params: + - g: MTG + - seminal_RootDiameter_law: law of seminal root diameter + - crown_RootDiameter_law: law of crown root diameter + - lateral_RootDiameter_law: law of lateral root diameter + + :returns: + g: MTg with diameter property + """ + + diameters = {} + order= g.property('order') + positions = g.property('relative_position') + for vid in g.vertices_iter(g.max_scale()): + # collet or Seminal + if order[vid] == 0: + diameters[vid] = seminal_RootDiameter_law(positions[vid]) + else: + if g.label(vid)== "Crown": + diameters[vid] = crown_RootDiameter_law(positions[vid]) + else: # laterals + diameters[vid] = lr_RootDiameter_law(positions[vid]) + + g.properties()['diam'] = diameters + + return g + + +def compute_radius_from_diameter(g): + """ + Calculate and add radius to MTG as a property from diameter values + """ + radius = {} + diameters= g.property('diam') + for i,d in diameters.items(): + radius[i] = d/2. + g.properties()['radius'] = radius + + return g + def compute_diameter(g, seminal_RootDiameter_law=None, crown_RootDiameter_law=None, lr_RootDiameter_law=None, segment_length = 1e-4): + diameters = {} order= g.property('order') g = radius.compute_length(g, segment_length) @@ -235,6 +315,8 @@ def radius_from_computed_diameters(g): return g + + ############################################################################### def age_law(data_xy, segment_length = 1e-4,scale_x =1, scale_y = 1.e-2, plot= True): @@ -314,6 +396,82 @@ def developmental_age(g, nude_tip_length=15): return g + + def developmental_age2(g, nude_tip_length=0.0206): + """ Compute the developmental age of each vertex. + + A new property is added to the MTG that represent the age of apparition of the segment. + It allows to express a dynamic as a parametrisation. + """ + age = {} + # convert nude_tip_length to nb of vertices: for a 75cm root, the length of nude tip is 15cm + nude_tip_length = (nude_tip_length * 0.15) / 0.75 + + #-------------------------------------- + # Seminal + #-------------------------------------- + is_primary = lambda v: g.label(v) == 'Seminal' or g.label(v)=='collet' + + for v in post_order2(g, 1, pre_order_filter=is_primary): + if g.is_leaf(v): + age[v] = 0 + else: + age[v] = max(age.get(cid,0) for cid in g.children(v))+1 + + age_max = age[1] + + k, v = np.array(list(age.keys())), np.array(list(age.values())) + v = age_max - v + + age = dict(zip(list(k), list(v))) + + delta = nude_tip_length + + for v in pre_order2_with_filter(g, 1, pre_order_filter=is_primary): + pid = g.parent(v) + if g.edge_type(v) =='+': + age_p, age_v = age[pid], age[v] + if age_p +delta < age_v: + age[v] = age_p + delta # replace by a stat distribution rather than min + elif pid is not None: + age[v] = age[pid] + 1 + + #--------------------------------------------------------------- + # Crown: they appear 6 days after germination from the root base + #--------------------------------------------------------------- + + delta_crown_age = 6 + + root_crowns = [v for v in g if g.label(v) == 'Crown' and g.label(v) != g.label(g.parent(v))] + + speed = 1. + for v in root_crowns: + date = delta_crown_age + for cid in axis(g, v): + age[cid] = date + date += speed + + + #-------------------------------------------------------------------- + # Lateral: they appear 6 days after germination from the primary root + #-------------------------------------------------------------------- + + delta_crown_age = 6 + + root_laterals = [v for v in g if g.label(v) == 'Lateral' and g.label(v) != g.label(g.parent(v))] + + speed = 1. + for v in root_laterals: + date = delta_crown_age + for cid in axis(g, v): + age[cid] = date + date += speed + + + + # Store the property in the MTG + g.properties()['age'] = age + return g ########################################################################################################### diff --git a/src/openalea/hydroroot/millet/turtle.py b/src/openalea/hydroroot/millet/turtle.py new file mode 100644 index 00000000..1668cece --- /dev/null +++ b/src/openalea/hydroroot/millet/turtle.py @@ -0,0 +1,256 @@ +from openalea.mtg.mtg import * +from openalea.mtg.io import * +from openalea.mtg.traversal import * +from openalea.mtg.turtle import * +from openalea.mtg.plantframe import* +from openalea.mtg.plantframe.color import * +from openalea.plantgl import * + + +from openalea.hydroroot.millet import architecture +import random +import numpy as np + +from collections import defaultdict + + + +############################################################ +# TODO : Move this code to mtg (CPL) + + +LR_root_angle= defaultdict(lambda: random.normalvariate(53.52674,15.14071)) #we store the lateral root angles in a default dictionary +#average_CR_angle= 20.03194444 +average_CR_angle= 30.03194444 +segment_length = 1e-4 + +tort = defaultdict(lambda: random.randint(-1,1)) +########################################################### + +#---------------------------------------------------------------------- +# Visitor function used for the new implementation of the architecture +#---------------------------------------------------------------------- + +def visitor2(g, v, turtle): + n = g.node(v) + + # --- Safe geometry default variables (meters) + length_m = getattr(n, "length", segment_length) # meters + radius = getattr(n, "radius", None) + + if radius is None: + order = getattr(n, "order", 0) + radius = max(0.02, 0.12 / (order + 1)) + + length = float(length_m) * 1e3 # keep your convention (m -> mm) + width = float(radius) * 1e3 + + label = getattr(n, "label", "") + order = getattr(n, "order", 0) + + # --------------------------------------------------------- + # COLLET: pivot only + # --------------------------------------------------------- + if label == "collet": + turtle.setId(v) + turtle.setWidth(width) + turtle.setColor(0) + turtle.rollL(90.0) # set reference frame for roots + n.xyz = turtle.getPosition() + return + + # --------------------------------------------------------- + # Branching angles for '+' edges + # --------------------------------------------------------- + if g.edge_type(v) == '+': + if label == "Crown": + turtle.down(average_CR_angle) + else: + # deterministic without global seeding + rng = random.Random(v) + turtle.down(rng.normalvariate(53.52674, 15.14071)) + + # --------------------------------------------------------- + # Tortuosity / curvature (small turns) + # --------------------------------------------------------- + rng = random.Random(v) + if label == "Crown": + turtle.down(tort[v]) + elif label in ("Seminal", "Lateral"): + turtle.down(rng.random()) + + # --------------------------------------------------------- + # Render + # --------------------------------------------------------- + turtle.setId(v) + if label=="Lateral": + turtle.setWidth(width/2) + else: + turtle.setWidth(width) + + # Color by type + if label == "Seminal": + turtle.setColor(1) + elif label == "Lateral": + turtle.setColor(2) + elif label == "Crown": + turtle.setColor(3) + else: + turtle.setColor(order + 1) + + turtle.rollL() + turtle.F(length) + n.xyz = turtle.getPosition() + + + + +def mtg_turtle_time(g, time, update_visitor=None, time_property='age' ): + ''' Compute the geometry on each node of the MTG using Turtle geometry. + + Update_visitor is a function called on each node in a pre order (parent before children). + This function allow to update the parameters and state variables of the vertices. + + :Example: + + >>> def grow(node, time): + + ''' + + g.properties()['geometry'] = {} + orders = g.property('order') + radius = g.property('radius') + max_scale = g.max_scale() + + start_dates = g.property(time_property) + + #seminal = g.Trunk(g.root, Scale=1) + + # + #lats= [g.Descendants(g.Successor(v)) for v in g if g.edge_type(v)=='+' and n.label !='Crown'] + + def visitor(g, v, turtle,time): + + n = g.node(v) + radius = n.radius * 1.e1 + length = n.length * 1.e3 + #LR_root_angle=30 + if g.edge_type(v) == '+': #For crown root angles, the size is weak, so we use a mean to estimate their branching + if n.label=='Crown': + turtle.down(average_CR_angle) + + + + else: #We use here a normal law to simulate the LR angle values seeing that they follow a Gaussian distribution + random.seed(v) + turtle.down(LR_root_angle[v]) + + #use rather curves to define crown roots tortuosity + # if n.label=='Crown': + # random.seed(v) + # turtle.down(tort[v]) + + + # if n.label == 'Seminal': + # #Define SR tortuosity + # if n.order == 0: + # random.seed(v) + # turtle.down(random.random()) + + # # #Define LR tortuosity + # else: + # random.seed(v) + # turtle.down(random.random()) + + if n.label == 'collet': + turtle.rollL(90.) + + turtle.setId(v) + turtle.setWidth(radius) + #for c in n.children(): + #if c.edge_type() == '+': + #turtle.rollL(130) + turtle.setColor(n.order+1) + if n.label=='Crown': + turtle.setColor(n.order+2) + turtle.rollL() + turtle.F(length) + pt = turtle.getPosition() + n.xyz = pt + + def traverse_with_turtle_time(g, vid, time, visitor=visitor): + turtle = PglTurtle() + turtle.down(180) + def push_turtle(v): + try: + start_tt = start_dates.get(v, time+1) + if start_tt > time: + return False + except: + pass + if g.edge_type(v) == '+': + turtle.push() + turtle.setId(v) + return True + + def pop_turtle(v): + try: + start_tt = start_dates.get(v, time+1) + if start_tt > time: + return False + except: + pass + if g.edge_type(v) == '+': + turtle.pop() + + if start_dates[vid] <= time: + visitor(g,vid,turtle,time) + #turtle.push() + plant_id = g.complex_at_scale(vid, scale=1) + for v in pre_order2_with_filter(g, vid, None, push_turtle, pop_turtle): + if v == vid: continue + # Done for the leaves + if start_dates.get(v,time+1) > time: + print('Do not consider ', v, time) + continue + visitor(g,v,turtle,time) + + scene = turtle.getScene() + return scene, g + + for plant_id in g.component_roots_at_scale_iter(g.root, scale=max_scale): + scene, g = traverse_with_turtle_time(g, plant_id, time) + return g, scene + + +def Plot(scene): + Viewer.display(scene) + +def compute_angle(g): + pass + +############################################################# + + +def test(save_image= False, dir='C:/Users/ndour/Desktop/mon dossier/my_Ph.D/Plant_images_BD/Film_MTG'): + from openalea.hydroroot.millet import architecture + g = architecture.millet_mtg(nb_vertices=200) + g = architecture.developmental_age(g,15) + compute_angle(g) + + ages = g.property('age') + age_max = max(ages.values()) + + #for t in range(1, age_max, 1): + for t in list(np.linspace(1,age_max,100)): + g, scene = mtg_turtle_time(g,t) + Plot(scene) + if save_image==True: + Viewer.saveSnapshot(dir+'/millet_%04d.png'%t) + # sous ipython + # %gui qt + + +#-------Display of the MTG +#test(save_image=False) + From d1e9fea8ebecb8784953e1986aa00cc5bda79155 Mon Sep 17 00:00:00 2001 From: NDOUR Date: Wed, 25 Feb 2026 13:47:54 +0300 Subject: [PATCH 12/12] typos and bugs fixed, calculation of global water flux at root base for the two lines, addition of a sandy soil with heterogeneous hydrostatic potential --- .../millet/Simulating_archicture.ipynb | 293 ++++++++++++------ src/openalea/hydroroot/millet/law.py | 167 +++++----- src/openalea/hydroroot/millet/turtle.py | 10 +- 3 files changed, 291 insertions(+), 179 deletions(-) diff --git a/doc/example/millet/Simulating_archicture.ipynb b/doc/example/millet/Simulating_archicture.ipynb index 1bd15397..753e752e 100644 --- a/doc/example/millet/Simulating_archicture.ipynb +++ b/doc/example/millet/Simulating_archicture.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 143, + "execution_count": 245, "id": "27a65c43-8622-4ff8-a641-b2afe382d303", "metadata": {}, "outputs": [], @@ -41,12 +41,12 @@ }, { "cell_type": "code", - "execution_count": 144, + "execution_count": 246, "id": "937c0dcd-dc5c-4e6f-b001-0de89a5514e9", "metadata": {}, "outputs": [], "source": [ - "from openalea.hydroroot.millet import architecture, age\n", + "from openalea.hydroroot.millet import architecture, law\n", "from openalea.hydroroot.millet.architecture import millet_mtg2\n", "import importlib\n", "importlib.reload(architecture)\n", @@ -89,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 145, + "execution_count": 247, "id": "4acc9050-4c07-4254-aa1d-e99860243994", "metadata": {}, "outputs": [], @@ -108,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 146, + "execution_count": 248, "id": "166b5c05-80d0-4350-898f-2437c439adc7", "metadata": {}, "outputs": [], @@ -127,13 +127,12 @@ }, { "cell_type": "code", - "execution_count": 147, + "execution_count": 249, "id": "efb443dc-67fe-467d-98f5-6af2d7116d15", "metadata": {}, "outputs": [], "source": [ - "from openalea.hydroroot import read_file\n", - "from importlib import reload" + "import pandas as pd" ] }, { @@ -146,28 +145,14 @@ }, { "cell_type": "code", - "execution_count": 148, - "id": "67b9afea-c0bb-4ff2-8556-fd8cf599d6df", - "metadata": {}, - "outputs": [], - "source": [ - "sr_xy = read_file.readCSVFile(\"SR_diameters.csv\", delimiter=\",\")\n", - "cr_xy = read_file.readCSVFile(\"CR_diameters.csv\", delimiter=\";\")\n", - "lr_xy = read_file.readCSVFile(\"LR_diameters.csv\", delimiter=\";\")" - ] - }, - { - "cell_type": "code", - "execution_count": 149, + "execution_count": 250, "id": "ad233424-3b4e-498e-95d8-d5dcb0f4a49f", "metadata": {}, "outputs": [], "source": [ - "# convert to dataframe\n", - "import pandas as pd\n", - "sr_xy = pd.DataFrame(sr_xy)\n", - "cr_xy = pd.DataFrame(cr_xy)\n", - "lr_xy = pd.DataFrame(lr_xy)" + "sr_xy = pd.read_csv(\"SR_diameters.csv\", delimiter=\",\")\n", + "cr_xy = pd.read_csv(\"CR_diameters.csv\", delimiter=\";\")\n", + "lr_xy = pd.read_csv(\"LR_diameters.csv\", delimiter=\";\")" ] }, { @@ -180,7 +165,7 @@ }, { "cell_type": "code", - "execution_count": 150, + "execution_count": 319, "id": "7abdbf06-5022-4418-a3b5-2578a597cfac", "metadata": {}, "outputs": [ @@ -190,7 +175,7 @@ "" ] }, - "execution_count": 150, + "execution_count": 319, "metadata": {}, "output_type": "execute_result" } @@ -201,7 +186,7 @@ }, { "cell_type": "code", - "execution_count": 151, + "execution_count": 252, "id": "2236335a-f36f-4717-8720-16f70ea99aa6", "metadata": {}, "outputs": [], @@ -212,7 +197,7 @@ }, { "cell_type": "code", - "execution_count": 152, + "execution_count": 253, "id": "9086ee80-fbb9-4e58-b55a-dc48ebb6b861", "metadata": {}, "outputs": [], @@ -240,7 +225,7 @@ }, { "cell_type": "code", - "execution_count": 153, + "execution_count": 254, "id": "99295687-87c2-48a6-abfe-255b66a1e64b", "metadata": {}, "outputs": [], @@ -261,7 +246,7 @@ }, { "cell_type": "code", - "execution_count": 154, + "execution_count": 255, "id": "f2234503-eafc-426e-9b67-d05144ed0036", "metadata": {}, "outputs": [], @@ -282,12 +267,13 @@ }, { "cell_type": "code", - "execution_count": 155, + "execution_count": 256, "id": "b11b1744-4419-4a48-aeb3-25664dafa6d0", "metadata": {}, "outputs": [], "source": [ "g57 = age.compute_age_with_constant_growth_speed(g57)\n", + "#g57 = law.developmental_age2(g57)\n", "g109 = age.compute_age_with_constant_growth_speed(g109)" ] }, @@ -301,17 +287,36 @@ }, { "cell_type": "code", - "execution_count": 156, + "execution_count": 303, "id": "873d6970-5877-4148-9513-0e021b0fbe54", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 303, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "from openalea.plantgl.algo.view import view # 2D view\n", "from openalea.widgets.plantgl import PlantGL # notebook viewer 3D\n", "from openalea.hydroroot.display import mtg_scene\n", - "from openalea.hydroroot.millet import turtle as turtle_millet" + "from openalea.hydroroot.millet import turtle as turtle_millet; reload(turtle_millet)" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "0919ca39-c860-446f-990c-d607157e4e2e", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "id": "08c19c5e-b830-4330-80b4-50b9829ff8f6", @@ -322,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 157, + "execution_count": 258, "id": "bf6594b5-d261-45da-a51d-fe0545611cf7", "metadata": {}, "outputs": [ @@ -352,7 +357,7 @@ }, { "cell_type": "code", - "execution_count": 158, + "execution_count": 259, "id": "43d254d4-ce11-4643-9ccf-4f8469a91696", "metadata": {}, "outputs": [ @@ -390,7 +395,7 @@ }, { "cell_type": "code", - "execution_count": 159, + "execution_count": 260, "id": "d917bf82-b596-4b14-b33d-55a41c08254e", "metadata": {}, "outputs": [], @@ -403,23 +408,14 @@ }, { "cell_type": "code", - "execution_count": 160, + "execution_count": null, "id": "2fc84bd3-a262-4d74-9a80-d7405761e3d3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 160, - "metadata": {}, - "output_type": "execute_result" - } - ], + "metadata": { + "scrolled": true + }, + "outputs": [], "source": [ - "from openalea.hydroroot.millet import conductance as conductance_millet; reload(conductance)" + "from openalea.hydroroot.millet import conductance as conductance_millet; reload(conductance_millet)" ] }, { @@ -440,7 +436,7 @@ }, { "cell_type": "code", - "execution_count": 161, + "execution_count": 262, "id": "9e42932a-0571-4c6e-8d7e-99c1e6299fde", "metadata": {}, "outputs": [], @@ -458,7 +454,7 @@ }, { "cell_type": "code", - "execution_count": 162, + "execution_count": 263, "id": "1a0169de-5df3-4ef7-a47b-d83b7c9c1f75", "metadata": {}, "outputs": [], @@ -466,17 +462,6 @@ "g109 = conductance_millet.compute_K_from_laws(g109, sr_law, cr_law, lr_law)" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "dce1b59f-7ec9-454e-b65e-615b683abd2a", - "metadata": {}, - "outputs": [], - "source": [ - "s = mtg_scene(g109, prop_cmap='K')\n", - "view()" - ] - }, { "cell_type": "markdown", "id": "17dce9b3-528f-4c5d-bd91-1e688300d0f9", @@ -487,7 +472,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 264, "id": "d6df51aa-3293-4d85-ab89-3b35a91d9e13", "metadata": {}, "outputs": [], @@ -505,7 +490,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 265, "id": "d8f5880e-4877-4261-b980-9f03ebd8d5e6", "metadata": {}, "outputs": [], @@ -516,7 +501,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 266, "id": "c5b034e5-2e2b-4372-addd-cea2d8c41c23", "metadata": {}, "outputs": [ @@ -544,7 +529,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 267, "id": "3a474218-d78c-423f-9d47-0771e1c495dd", "metadata": {}, "outputs": [], @@ -555,7 +540,7 @@ }, { "cell_type": "code", - "execution_count": 98, + "execution_count": 268, "id": "fb4a38a1-161f-4576-b0cb-3713a4c907a7", "metadata": {}, "outputs": [ @@ -583,7 +568,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 269, "id": "9b6b17a4-de9c-47ce-a5d5-fc72cccbecc5", "metadata": {}, "outputs": [], @@ -602,7 +587,7 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": 270, "id": "7cee8e2b-3b10-4ac7-9425-8ae40109196c", "metadata": {}, "outputs": [], @@ -621,7 +606,7 @@ }, { "cell_type": "code", - "execution_count": 101, + "execution_count": 271, "id": "c5afb0e5-86d3-40d0-9a56-010250baf724", "metadata": {}, "outputs": [], @@ -634,7 +619,7 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 272, "id": "ecb71871-5c9a-4dfb-a33f-98be3620d95b", "metadata": {}, "outputs": [], @@ -653,23 +638,23 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 273, "id": "6d805ceb-932e-4df2-a401-986cbf0c8a2d", "metadata": {}, "outputs": [], "source": [ - "g57 = conductance_millet.fit_property_from_spline(g57, radial_law57, 'relative_position', 'k0')\n", + "g57 = conductance.fit_property_from_spline(g57, radial_law57, 'relative_position', 'k0')\n", "g57 = conductance.compute_k(g57, k0='k0')" ] }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 274, "id": "6c49c7d4-95c4-4995-b69d-8e77e6a97684", "metadata": {}, "outputs": [], "source": [ - "g109 = conductance_millet.fit_property_from_spline(g109, radial_law109, 'relative_position', 'k0')\n", + "g109 = conductance.fit_property_from_spline(g109, radial_law109, 'relative_position', 'k0')\n", "g109 = conductance.compute_k(g109, k0='k0')" ] }, @@ -683,7 +668,7 @@ }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 275, "id": "c2fea737-3262-48ff-b579-b217ceb0b14b", "metadata": {}, "outputs": [], @@ -701,7 +686,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 276, "id": "32ac5965-b4ab-4912-a16b-1e9f0dfd6f56", "metadata": {}, "outputs": [], @@ -722,7 +707,7 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 277, "id": "a60f2eb8-83fe-4f39-ad32-77b9eecae1bf", "metadata": {}, "outputs": [], @@ -733,7 +718,7 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 278, "id": "c89698c6-0a2b-4489-b5e6-a0710120c370", "metadata": {}, "outputs": [], @@ -752,7 +737,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 318, "id": "eca27e97-a01b-404a-addf-4110e7f97f63", "metadata": { "scrolled": true @@ -761,7 +746,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c3bf5679f05f438d8d8b0fec244bca17", + "model_id": "51b9327eca9a486098e7a020f2d37341", "version_major": 2, "version_minor": 0 }, @@ -769,16 +754,16 @@ "Plot(antialias=3, axes=['x', 'y', 'z'], axes_helper=1.0, axes_helper_colors=[16711680, 65280, 255], background…" ] }, - "execution_count": 135, + "execution_count": 318, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "s57 = mtg_scene(g57,prop_cmap='j')\n", - "#s109 = mtg_scene(g109,prop_cmap='j') \n", - "PlantGL(s57)\n", - "#PlantGL(s109)" + "s57 = mtg_scene(g57,prop_cmap='k', visitor=turtle_millet.visitor2) # calling visitor 2 allows to get the xyz position of every node\n", + "s109 = mtg_scene(g109,prop_cmap='j', visitor=turtle_millet.visitor2) \n", + "#PlantGL(s57)\n", + "PlantGL(s109)" ] }, { @@ -791,7 +776,7 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 180, "id": "b8e36e09-b2b8-4462-8b2a-5737b1dba990", "metadata": {}, "outputs": [], @@ -802,7 +787,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 181, "id": "340dbc3b-85f5-4bc8-aa91-6740ca2c081e", "metadata": {}, "outputs": [], @@ -830,7 +815,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 182, "id": "ae17b59b-88fb-4caa-af76-9178d6d5a0b6", "metadata": {}, "outputs": [ @@ -857,7 +842,7 @@ }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 183, "id": "1aaf92ba-4b23-4419-9c53-e8465479e054", "metadata": {}, "outputs": [ @@ -874,20 +859,130 @@ "print(f'Global water flux (microL/s): {J109}')" ] }, + { + "cell_type": "markdown", + "id": "f096a08a-aefd-41db-be80-67993d78e54f", + "metadata": {}, + "source": [ + "Add a sandy Soil and compute $\\Psi_e$\n", + "===============================" + ] + }, + { + "cell_type": "markdown", + "id": "9f49e3fc-fcd1-49d9-802a-72ca152c9ac8", + "metadata": {}, + "source": [ + "Here we simulate a $1d$ sandy soil where pearl millet traditionally grows in farm conditions. The soil model is a superposition of layers with increasing heterogeneous water potential that varies with depth, unlike the pressure chamber, where potential is homogeneous and constant everywhere." + ] + }, + { + "cell_type": "code", + "execution_count": 310, + "id": "53dd12ee-8ae0-45cd-b1cf-ff23adc0e6d0", + "metadata": {}, + "outputs": [], + "source": [ + "soil_potential = (\n", + "[0., 0.10, 0.5, 1.],\n", + "[0.1, 0.1, 0.4, 0.8]\n", + ")\n", + "x, y = soil_potential\n" + ] + }, { "cell_type": "code", - "execution_count": 136, - "id": "4016861a-f178-451d-87fb-7dbeae79c0c1", + "execution_count": 320, + "id": "72f77765-2b4e-4f16-81ab-2e2f1ca705cd", "metadata": {}, "outputs": [], "source": [ - "from openalea.hydroroot.display import property_scale_bar" + "g57_s = law.add_soil2(g57, soil_potential)\n", + "g109_s = law.add_soil2(g109, soil_potential)" + ] + }, + { + "cell_type": "markdown", + "id": "09301a81-e6a2-468c-92bb-e3593d5a8de3", + "metadata": {}, + "source": [ + "### Recompute the water fluxes with the heterogenous external water potential" + ] + }, + { + "cell_type": "code", + "execution_count": 322, + "id": "13a4c2d8-7bc8-419d-8d7e-cac07029949b", + "metadata": {}, + "outputs": [], + "source": [ + "#57\n", + "g57_f = flux.flux(g=g57_s, Jv=Jv, psi_e=None, psi_base=psi_base, invert_model=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 324, + "id": "f68774db-1b5e-4efd-ad36-a9dd4ce71ed9", + "metadata": {}, + "outputs": [], + "source": [ + "#109\n", + "g109_f = flux.flux(g=g109_s, Jv=Jv, psi_e=None, psi_base=psi_base, invert_model=True)" + ] + }, + { + "cell_type": "markdown", + "id": "f55e184f-90d8-4e8e-b704-f2a7fe99cbe1", + "metadata": {}, + "source": [ + "### Visualize water fluxes in sandy soils" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5a852aa8-49f5-49e8-8b8c-8f555ced5116", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "s57 = mtg_scene(g57_f,prop_cmap='j', visitor=turtle_millet.visitor2) \n", + "s109 = mtg_scene(g109_f,prop_cmap='j', visitor=turtle_millet.visitor2) " + ] + }, + { + "cell_type": "code", + "execution_count": 328, + "id": "49619d5c-84a6-4237-a308-5f5a1bf3ac0b", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "14ad968243324f85aa33edc695d64ad9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Plot(antialias=3, axes=['x', 'y', 'z'], axes_helper=1.0, axes_helper_colors=[16711680, 65280, 255], background…" + ] + }, + "execution_count": 328, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "PlantGL(s57)\n", + "#PlantGL(s109)\n" ] }, { "cell_type": "code", "execution_count": null, - "id": "ab9221c5-dd09-4378-b819-5bd84932e0d5", + "id": "f249aee3-c170-4cc1-9daf-07ee9c0bad94", "metadata": {}, "outputs": [], "source": [] diff --git a/src/openalea/hydroroot/millet/law.py b/src/openalea/hydroroot/millet/law.py index a2497c47..2ac57e17 100644 --- a/src/openalea/hydroroot/millet/law.py +++ b/src/openalea/hydroroot/millet/law.py @@ -397,81 +397,81 @@ def developmental_age(g, nude_tip_length=15): - def developmental_age2(g, nude_tip_length=0.0206): - """ Compute the developmental age of each vertex. - - A new property is added to the MTG that represent the age of apparition of the segment. - It allows to express a dynamic as a parametrisation. - """ - age = {} - # convert nude_tip_length to nb of vertices: for a 75cm root, the length of nude tip is 15cm - nude_tip_length = (nude_tip_length * 0.15) / 0.75 - - #-------------------------------------- - # Seminal - #-------------------------------------- - is_primary = lambda v: g.label(v) == 'Seminal' or g.label(v)=='collet' - - for v in post_order2(g, 1, pre_order_filter=is_primary): - if g.is_leaf(v): - age[v] = 0 - else: - age[v] = max(age.get(cid,0) for cid in g.children(v))+1 - - age_max = age[1] - - k, v = np.array(list(age.keys())), np.array(list(age.values())) - v = age_max - v - - age = dict(zip(list(k), list(v))) - - delta = nude_tip_length - - for v in pre_order2_with_filter(g, 1, pre_order_filter=is_primary): - pid = g.parent(v) - if g.edge_type(v) =='+': - age_p, age_v = age[pid], age[v] - if age_p +delta < age_v: - age[v] = age_p + delta # replace by a stat distribution rather than min - elif pid is not None: - age[v] = age[pid] + 1 - - #--------------------------------------------------------------- - # Crown: they appear 6 days after germination from the root base - #--------------------------------------------------------------- - - delta_crown_age = 6 - - root_crowns = [v for v in g if g.label(v) == 'Crown' and g.label(v) != g.label(g.parent(v))] - - speed = 1. - for v in root_crowns: - date = delta_crown_age - for cid in axis(g, v): - age[cid] = date - date += speed - - - #-------------------------------------------------------------------- - # Lateral: they appear 6 days after germination from the primary root - #-------------------------------------------------------------------- - - delta_crown_age = 6 - - root_laterals = [v for v in g if g.label(v) == 'Lateral' and g.label(v) != g.label(g.parent(v))] - - speed = 1. - for v in root_laterals: - date = delta_crown_age - for cid in axis(g, v): - age[cid] = date - date += speed - - - - # Store the property in the MTG - g.properties()['age'] = age - return g +def developmental_age2(g, nude_tip_length=0.0206): + """ Compute the developmental age of each vertex. + + A new property is added to the MTG that represent the age of apparition of the segment. + It allows to express a dynamic as a parametrisation. + """ + age = {} + # convert nude_tip_length to nb of vertices: for a 75cm root, the length of nude tip is 15cm + nude_tip_length = (nude_tip_length * 0.15) / 0.75 + + #-------------------------------------- + # Seminal + #-------------------------------------- + is_primary = lambda v: g.label(v) == 'Seminal' or g.label(v)=='collet' + + for v in post_order2(g, 1, pre_order_filter=is_primary): + if g.is_leaf(v): + age[v] = 0 + else: + age[v] = max(age.get(cid,0) for cid in g.children(v))+1 + + age_max = age[1] + + k, v = np.array(list(age.keys())), np.array(list(age.values())) + v = age_max - v + + age = dict(zip(list(k), list(v))) + + delta = nude_tip_length + + for v in pre_order2_with_filter(g, 1, pre_order_filter=is_primary): + pid = g.parent(v) + if g.edge_type(v) =='+': + age_p, age_v = age[pid], age[v] + if age_p +delta < age_v: + age[v] = age_p + delta # replace by a stat distribution rather than min + elif pid is not None: + age[v] = age[pid] + 1 + + #--------------------------------------------------------------- + # Crown: they appear 6 days after germination from the root base + #--------------------------------------------------------------- + + delta_crown_age = 6 + + root_crowns = [v for v in g if g.label(v) == 'Crown' and g.label(v) != g.label(g.parent(v))] + + speed = 1. + for v in root_crowns: + date = delta_crown_age + for cid in axis(g, v): + age[cid] = date + date += speed + + + #-------------------------------------------------------------------- + # Lateral: they appear 6 days after germination from the primary root + #-------------------------------------------------------------------- + + delta_crown_age = 6 + + root_laterals = [v for v in g if g.label(v) == 'Lateral' and g.label(v) != g.label(g.parent(v))] + + speed = 1. + for v in root_laterals: + date = delta_crown_age + for cid in axis(g, v): + age[cid] = date + date += speed + + + + # Store the property in the MTG + g.properties()['age'] = age + return g ########################################################################################################### @@ -494,3 +494,20 @@ def add_soil(g, soil_data, segment_length = 1.e-4): return g +def add_soil2(g, soil_data, segment_length = 1.e-4): + + """ add a soil a hetergeneous water potential """ + + x,y = soil_data + + # Compute absolute z coordinate and normalize + vids = g.property('xyz').keys() + zs = np.array([np.abs(pt.z) * segment_length for pt in g.property('xyz').values()]) + zs/=zs.max() + zs = zs.tolist() + # Fit data on z coordinate to compute psi_e on each vertex + g.properties()['height'] = dict(zip(vids,zs)) + soil_law = length.fit_law(x,y) + g = conductance.fit_property_from_spline(g, soil_law, 'height', 'psi_e') + + return g \ No newline at end of file diff --git a/src/openalea/hydroroot/millet/turtle.py b/src/openalea/hydroroot/millet/turtle.py index 1668cece..8ca02d2d 100644 --- a/src/openalea/hydroroot/millet/turtle.py +++ b/src/openalea/hydroroot/millet/turtle.py @@ -73,11 +73,11 @@ def visitor2(g, v, turtle): # --------------------------------------------------------- # Tortuosity / curvature (small turns) # --------------------------------------------------------- - rng = random.Random(v) - if label == "Crown": - turtle.down(tort[v]) - elif label in ("Seminal", "Lateral"): - turtle.down(rng.random()) + #rng = random.Random(v) + #if label == "Crown": + #turtle.down(tort[v]) + #elif label in ("Seminal", "Lateral"): + #turtle.down(rng.random()) # --------------------------------------------------------- # Render