From 637aff9e2a4163ae656b3cdc3555620626c18dcf Mon Sep 17 00:00:00 2001 From: Milosz Rolewski Date: Wed, 24 May 2023 19:03:10 +0200 Subject: [PATCH 1/8] Added trainging data and ipynb file to create ID3 --- __pycache__/settings.cpython-310.pyc | Bin 553 -> 550 bytes assets/data/train_2.csv | 202 +++++++++++++++ src/ID3.ipynb | 329 ++++++++++++++++++++++++ src/ID3.py | 11 + src/__pycache__/Field.cpython-310.pyc | Bin 0 -> 802 bytes src/__pycache__/Plant.cpython-310.pyc | Bin 1343 -> 1340 bytes src/__pycache__/Tractor.cpython-310.pyc | Bin 3312 -> 3309 bytes src/__pycache__/bfs.cpython-310.pyc | Bin 2288 -> 3057 bytes src/__pycache__/map.cpython-310.pyc | Bin 1424 -> 2257 bytes src/mytree.png | Bin 0 -> 31602 bytes src/train_2.csv | 202 +++++++++++++++ src/trained_tree.txt | 7 + src/tree.plk | Bin 0 -> 1643 bytes 13 files changed, 751 insertions(+) create mode 100644 assets/data/train_2.csv create mode 100644 src/ID3.ipynb create mode 100644 src/ID3.py create mode 100644 src/__pycache__/Field.cpython-310.pyc create mode 100644 src/mytree.png create mode 100644 src/train_2.csv create mode 100644 src/trained_tree.txt create mode 100644 src/tree.plk diff --git a/__pycache__/settings.cpython-310.pyc b/__pycache__/settings.cpython-310.pyc index f1197560e16e1f9da5b8efb621eac42c4ffb2cb8..6577f197896d74e19b9c87ae21f6e57d62ccef0b 100644 GIT binary patch delta 41 vcmZ3yUoiOrqZ\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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file\n", + "train = pd.read_csv(\"train_2.csv\", delimiter=\";\")\n", + "train" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "x_train = train.drop('czy_zebrac',axis=1)\n", + "y_train = train['czy_zebrac']" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "d_tree = DecisionTreeClassifier()\n", + "d_tree = d_tree.fit(x_train,y_train)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Save the decision tree model as a pickle file in the script's folder\n", + "pickle.dump(d_tree, open('tree.plk', 'wb'))\n", + "\n", + "# Export the decision tree as DOT data\n", + "data = tree.export_graphviz(d_tree, out_file=None)\n", + "\n", + "# Create a graph from the DOT data\n", + "graph = pydotplus.graph_from_dot_data(data)\n", + "\n", + "# Save the graph as a PNG image in the script's folder\n", + "graph.write_png(os.path.join('.', 'mytree.png'))\n", + "\n", + "# Read the PNG image\n", + "img = pltimg.imread(os.path.join('.', 'mytree.png'))\n", + "\n", + "# Display the image\n", + "imgplot = plt.imshow(img)\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.10.6" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/ID3.py b/src/ID3.py new file mode 100644 index 0000000..7b488e6 --- /dev/null +++ b/src/ID3.py @@ -0,0 +1,11 @@ +import pandas as pd +from sklearn.tree import DecisionTreeClassifier, export_text +from sklearn.preprocessing import LabelEncoder +from sklearn.model_selection import train_test_split +from sklearn import metrics + +# Read the CSV file +data = pd.read_csv("train_2.csv", delimiter=";") + +y = data[['czy_zebrac']].copy() +y.head() \ No newline at end of file diff --git a/src/__pycache__/Field.cpython-310.pyc b/src/__pycache__/Field.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..350b21c3770344292ff5d6033f151161f1777666 GIT binary patch literal 802 zcmYk4zi!(w5XO)CXIZx5Brw{gLsu>F3lv4WwCEC`NG2_;D$;}sr+d4++5k_jk-M_4k!MDUQ7;Uh#) zl2z#94~{+zyli~LmMI^jKd}A*ha|2#>kOPkf|LZ z$2LV~c8r|Z3^}zEWNxR(69HHTyDVldHk)2*mvY{$n}Kr|4clHicIVjErG00bq3PBx zZrW-kT~v2waI>4O&=uvmlHa9rk?9)c&X!USjcRsMb0Jq+N_Q@3zw2AM9-ebquPRjj zH?yN7K9LR`|4|K67dg60wbTi=LXQY3fv!|f2vY)eO`i~Egj2#9;T-YA+?exPRmO1s z1pkV~P1njr+o;a$7VkeTt~dH?cde`2q0xI9Ti+-zPJWliBFEa}gMo;FM9MnFu zJK3Lk?q3m8FV|Hov6mU=Z6`L0;wk6fHkI1%cz>54imRnkoa+}O{3%Yj%>Ua*|_x0zK*vHl_9Sw%!B{FmA*Ov literal 0 HcmV?d00001 diff --git a/src/__pycache__/Plant.cpython-310.pyc b/src/__pycache__/Plant.cpython-310.pyc index 9fa6092586ae0180ab460f98df79ad1589cc3086..a440d7da13d46a365d048515160433eed3b0a880 100644 GIT binary patch delta 42 wcmdnbwTFv4pO=@50SJ5)-8OPRU>4BS&&bbB)z8h$$uF+bcl6x+kJ*tC0Oh3&4FCWD delta 45 zcmdnPwV#VSpO=@50SFEoyKLlsz$~nzpOK%Ns$W{1TBPriTAW>yU$FT%vm+w_9{LUl diff --git a/src/__pycache__/Tractor.cpython-310.pyc b/src/__pycache__/Tractor.cpython-310.pyc index bb7eed465d962b7c6b22b1b6c55a51e4761a08bf..9e8541efc8b497b3cd74fd9b02374476bfda06fa 100644 GIT binary patch delta 50 zcmew$`BsuQpO=@50SE*Fvs3PGE E0A$$?t^fc4 delta 53 zcmaDW`9YF5pO=@50SI1Rb541%kyo5qSWiDAKQ~psv^cd$-zBv;yClD0vI+BJ#+1zx HELS-I%SREM diff --git a/src/__pycache__/bfs.cpython-310.pyc b/src/__pycache__/bfs.cpython-310.pyc index 5e7f91c479b75116b43edad202339cd4676d82bb..4a303922e623d3cd17efc18590e420b740575d16 100644 GIT binary patch literal 3057 zcmaJ@%WoS+7@wJadi`h`LLLQGr7CTWP*Yw4qzbhZ3P>nYY2aWLR*q-=NNle&vnh?W zmXO@PfD6}z6TS1-%#~AaoH*? 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<= 9.50 +| | |--- class: 0 +| |--- dni_od_nawiezienia > 9.50 +| | |--- class: 1 diff --git a/src/tree.plk b/src/tree.plk new file mode 100644 index 0000000000000000000000000000000000000000..e4398ad80b9892434050d91b2d1175e10e6ed8ab GIT binary patch literal 1643 zcma)7&2AJ&5Z+yT&Da>S{1_Z^u@nx@Wd#TjASAE6ks@WJ4MLF*{G{of>2)`r=^pj; zuDUXmRNT}|efiZAk4qa2#_5W4P?9TuBV4>k3yOQrD zjB436nz1g45}M~M2Ycpc7KvOa`8&${PAW!%X?O)cJ%gvPZWkjh4AZCqc79t(0XE39 zL>LsJWXN&@b}^-oNz5|CVPH?BLXw=OS;BJSRUvHIPF;$rj38{y5H_Aezd3{#a2wXcW*9sNe%7{QGs&1UY5jH$_Fv9!=WO!{3SN z0T&))eR6-=F60qSs2g8?y&tqH%{}b7Jysti%q*~Nw+smD$-~Rxq&V7cBhXP8e3^C= z)4sl63xKJFO;;4I3}3`?Uvk4qB2`EOVH@Yc&+3<++P(pETUV}r0-v8BtlOo8jSPvn zNMeLX`xPmDe@Qgpa`$wE_58io2!Uy1#Si1 ze1*EF|7`qy?#|`c|GwY&t1e#?J+~ Date: Wed, 24 May 2023 23:22:20 +0200 Subject: [PATCH 2/8] added world matrix to improve ID3 decisions --- __pycache__/settings.cpython-310.pyc | Bin 550 -> 555 bytes src/road.py => output.txt | 0 settings.py | 6 ++-- src/Road.py | 9 ++++++ 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pygame.transform.scale(road, tile) for x in road_coords: - for block in range(26): + for block in range(int(fields_amount)+1): screen.blit(road, (x*block_size, block * 36)) - fields.add(Field('road', x*block_size, block * 36, None, get_cost_by_type('road'), None, None, None, None, 'road', None, None)) + tmp_field=Field('road', x*block_size, block * 36, None, get_cost_by_type('road'), None, None, None, None, 'road', None, None) + fields.add(tmp_field) + world_matrix[x][block]=Road(x,block) for y in road_coords: - for block in range(26): - screen.blit(road, (block * 36, y*block_size)) - fields.add(Field('road', block * 36, y*block_size, None, get_cost_by_type('road'), None, None, None, None, 'road', None, None)) + for block in range(int(fields_amount)+1): + screen.blit(road, (block * block_size, y*block_size)) + tmp_field=Field('road', block * block_size, y*block_size, None, get_cost_by_type('road'), None, None, None, None, 'road', None, None) + fields.add(tmp_field) + world_matrix[block][y]=Road(block,y) + barn_img = pygame.image.load('assets/barn.png') barn = pygame.transform.scale(barn_img, tile) @@ -52,17 +62,34 @@ def drawRoads(screen): def seedForFirstTime(): plant_group = pygame.sprite.Group() for field in range(fields_amount): - plant = random.choice(SPECIES) + plant_name = random.choice(SPECIES) blocks_seeded_in_field = 0 while (blocks_seeded_in_field < field_size): + x = (((field%5)*((block_size*(field_width+1)))) + ((blocks_seeded_in_field % field_width)*block_size) + ((3/2)*block_size)) y = ((int(field/5)*((block_size*(field_width+1)))) + ((int(blocks_seeded_in_field/field_height))*block_size) + ((3/2)*block_size)) - new_plant = Plant(plant,0, x, y) + + new_plant = Plant(plant_name,0, x, y) blocks_seeded_in_field = blocks_seeded_in_field + 1 plant_group.add(new_plant) - fields.add(Field('field', x-18, y-18, None, get_cost_by_type(plant), None, None, None, None, plant, None, None)) + tmp_field_plant = Field('field', x-18, y-18, None, get_cost_by_type(plant_name), None, None, None, None, plant_name, None, None) + fields.add(tmp_field_plant) + + mx = int((x-18)/36) + my = int((y-18)/36) + world_matrix[mx][my]=tmp_field_plant + + # for i in range(1,4): + # world_matrix[mx][my+i]=tmp_field_plant + #debug + print(world_matrix) + #end of debug + return plant_group +def put_to_matrix(): + return 0 + def return_fields_list(): return fields -- 2.20.1 From 8704aacde8c0a868d4055ebd20f228064ba96866 Mon Sep 17 00:00:00 2001 From: Milosz Rolewski Date: Thu, 25 May 2023 18:11:06 +0200 Subject: [PATCH 3/8] WORLD_MATRIX evaluation --- __pycache__/settings.cpython-310.pyc | Bin 555 -> 606 bytes main.py | 13 +++++++-- settings.py | 7 +++-- src/Field.py | 10 ++++++- src/ID3.py | 39 +++++++++++++++++++++----- src/Plant.py | 23 ++++++++++++--- src/__pycache__/Field.cpython-310.pyc | Bin 802 -> 1132 bytes src/__pycache__/Plant.cpython-310.pyc | Bin 1340 -> 1656 bytes src/__pycache__/map.cpython-310.pyc | Bin 2932 -> 3164 bytes src/map.py | 30 ++++++++++++-------- src/trained_tree.txt | 7 ----- 11 files changed, 95 insertions(+), 34 deletions(-) delete mode 100644 src/trained_tree.txt diff --git a/__pycache__/settings.cpython-310.pyc b/__pycache__/settings.cpython-310.pyc index 952eafd768579a41ca219d3bd12f9052649526d2..0af80cb05eeb962a636735d62d8559a31d3f8fff 100644 GIT binary patch delta 231 zcmZ3@a*u^KpO=@50SJm4@>5<-&OB7#a= zFl4TnI8R-dMhpt%*2wSTdc)-nW^cw*iur9tCFiUnO>>@H5PG$iHVmq z83iW(F=FJOtj}o4!5;4F7~q0 J5Q0b{CIHXVHTnPm delta 181 zcmcb|vYLfApO=@50SFG{=A|r{$ScbjHBnpLCxtbNErl(LJ)I$ieGy|6M+!$2ClGU` za;9>LFhp^ua7OW@aHVjk@TBmj@XcX~;!WWXX3!LP2{KBP@fJ&QVNpru1{MZ}%oh`v zsq-?uQ~^p9v4e?;zcd+nCaW+SG4f3gXSAF=lQEf15hSBHnTg3pP7286VPIiqVdMZp O7A6qQ0)!w^hzS70)+4b1 diff --git a/main.py b/main.py index 99686d4..af5e54f 100644 --- a/main.py +++ b/main.py @@ -2,10 +2,12 @@ import pygame import sys import random from settings import screen_height, screen_width, SIZE, SPECIES, block_size, tile, road_coords, directions -from src.map import drawRoads, seedForFirstTime, return_fields_list +from src.map import drawRoads, seedForFirstTime, return_fields_list, WORLD_MATRIX from src.Tractor import Tractor from src.Plant import Plant from src.bfs import Astar +from src.Field import Field + # pygame initialization pygame.init() @@ -40,8 +42,15 @@ tractor_move = pygame.USEREVENT + 1 pygame.time.set_timer(tractor_move, 800) moves = [] goal_astar = Astar() -destination = (random.randrange(0, 936, 36), random.randrange(0, 900, 36)) +mx=random.randrange(0, 936, 36) +my=random.randrange(0, 936, 36) +destination = (mx, my) print("Destination: ", destination) +mx=int((mx+18)/36) +my=int((my+18)/36) +print("Destination: ", mx,my) +tmp = WORLD_MATRIX[mx][my] + moves = goal_astar.search( [tractor.rect.x, tractor.rect.y, directions[tractor.rotation]], destination) diff --git a/settings.py b/settings.py index ed0d402..53f1734 100644 --- a/settings.py +++ b/settings.py @@ -1,10 +1,13 @@ from cmath import sqrt -screen_width=1200#936 -screen_height=1000#936 +screen_width=1200 +#screen_width=936 +# screen_height=1000 +screen_height=936 SIZE = (screen_width, screen_height) SPECIES=["carrot","potato","beetroot","wheat"] +WEATHER=['slonce','wiatr','snieg','deszcz'] # size in pixels of one tile = 36px/36px tile = (36, 36) block_size = 36 diff --git a/src/Field.py b/src/Field.py index fedc537..6d6b599 100644 --- a/src/Field.py +++ b/src/Field.py @@ -1,8 +1,9 @@ from pygame.sprite import Sprite +from src.Plant import Plant class Field(Sprite): def __init__(self, type, x, y, image, cost, hydration_level , soil, - fertilizer_degree, development_degree, plant_type, fertilizer_type, to_water): + fertilizer_degree, development_degree, plant_type, fertilizer_type, to_water, plantObj): super().__init__() self.type = type self.x = x @@ -18,4 +19,11 @@ class Field(Sprite): self.plant_type = plant_type self.fertilizer_type = fertilizer_type self.to_water = to_water + self.plantObj = plantObj + + def getPlantObj(self): + return self.plantObj + + def setPlantObj(self,newPlant): + self.plantObj=newPlant diff --git a/src/ID3.py b/src/ID3.py index 7b488e6..d0357a5 100644 --- a/src/ID3.py +++ b/src/ID3.py @@ -1,11 +1,36 @@ import pandas as pd -from sklearn.tree import DecisionTreeClassifier, export_text -from sklearn.preprocessing import LabelEncoder -from sklearn.model_selection import train_test_split -from sklearn import metrics +from sklearn.tree import DecisionTreeClassifier +import pickle +import os +from sklearn import tree +import pydotplus +import matplotlib.image as pltimg +import matplotlib.pyplot as plt # Read the CSV file -data = pd.read_csv("train_2.csv", delimiter=";") +train = pd.read_csv("train_2.csv", delimiter=";") -y = data[['czy_zebrac']].copy() -y.head() \ No newline at end of file +x_train = train.drop('czy_zebrac',axis=1) +y_train = train['czy_zebrac'] + +d_tree = DecisionTreeClassifier() +d_tree = d_tree.fit(x_train,y_train) + +# Save the decision tree model as a pickle file in the script's folder +pickle.dump(d_tree, open('tree.plk', 'wb')) + +# Export the decision tree as DOT data +data = tree.export_graphviz(d_tree, out_file=None) + +# Create a graph from the DOT data +graph = pydotplus.graph_from_dot_data(data) + +# Save the graph as a PNG image in the script's folder +graph.write_png(os.path.join('.', 'mytree.png')) + +# Read the PNG image +img = pltimg.imread(os.path.join('.', 'mytree.png')) + +# Display the image +imgplot = plt.imshow(img) +plt.show() \ No newline at end of file diff --git a/src/Plant.py b/src/Plant.py index 11e8cc4..b0ee9e1 100644 --- a/src/Plant.py +++ b/src/Plant.py @@ -2,11 +2,24 @@ import pygame from settings import block_size class Plant(pygame.sprite.Sprite): - def __init__(self,species,is_ill,pos_x,pos_y): + def __init__(self,wzrost, + wilgotnosc, + dni_od_nawiezienia, + aktualna_pogoda, + czy_robaczywa, + cena_sprzedarzy, + species, + pos_x, + pos_y): + super().__init__() self.species=species - self.is_ill=is_ill - + 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-| | |--- class: 1 -- 2.20.1 From 6df02452bcadae4316ccc73d323db6fa2027662c Mon Sep 17 00:00:00 2001 From: Milosz Rolewski Date: Thu, 25 May 2023 20:17:48 +0200 Subject: [PATCH 4/8] ID3 evolution part2 --- main.py | 6 + src/ID3.ipynb | 277 +++--------------------- src/ID3.py | 21 +- src/Tractor.py | 7 + src/__pycache__/Tractor.cpython-310.pyc | Bin 3309 -> 3413 bytes src/mytree.png | Bin 31602 -> 42847 bytes src/train_2.csv | 202 ----------------- src/train_3.csv | 202 +++++++++++++++++ src/tree.plk | Bin 1643 -> 1782 bytes 9 files changed, 248 insertions(+), 467 deletions(-) delete mode 100644 src/train_2.csv create mode 100644 src/train_3.csv diff --git a/main.py b/main.py index af5e54f..6212dd1 100644 --- a/main.py +++ b/main.py @@ -7,6 +7,8 @@ from src.Tractor import Tractor from src.Plant import Plant from src.bfs import Astar from src.Field import Field +import pickle +import os # pygame initialization @@ -37,6 +39,9 @@ plant_group = pygame.sprite.Group() plant_group = seedForFirstTime() fields = return_fields_list() +#ID3 TREE +tree = pickle.load(open(os.path.join('src','tree.plk'),'rb')) + # tractor_move = pygame.USEREVENT + 1 pygame.time.set_timer(tractor_move, 800) @@ -50,6 +55,7 @@ mx=int((mx+18)/36) my=int((my+18)/36) print("Destination: ", mx,my) tmp = WORLD_MATRIX[mx][my] +print(tmp) moves = goal_astar.search( [tractor.rect.x, tractor.rect.y, directions[tractor.rotation]], destination) diff --git a/src/ID3.ipynb b/src/ID3.ipynb index 192f777..894c740 100644 --- a/src/ID3.ipynb +++ b/src/ID3.ipynb @@ -2,278 +2,60 @@ "cells": [ { "cell_type": "code", - "execution_count": 20, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "from sklearn.tree import DecisionTreeClassifier\n", - "import pickle\n", - "import os\n", "from sklearn import tree\n", + "import os\n", + "import pickle\n", "import pydotplus\n", "import matplotlib.image as pltimg\n", - "import matplotlib.pyplot as plt\n", - "\n" + "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 18, "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
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    " - ], - "text/plain": [ - " wzrost wilgotnosc dni_od_nawiezienia aktualna_pogoda \\\n", - "0 54 19 15 0 \n", - "1 64 63 5 0 \n", - "2 93 0 29 0 \n", - "3 30 43 23 0 \n", - "4 48 30 10 0 \n", - ".. ... ... ... ... \n", - "196 93 77 24 0 \n", - "197 74 94 21 0 \n", - "198 63 63 26 0 \n", - "199 65 73 1 0 \n", - "200 100 39 19 0 \n", - "\n", - " czy_roslina_robaczywa typ_rosliny pojemnosc_ekwipunku cena_sprzedarzy \\\n", - "0 0 0 90 66 \n", - "1 0 0 16 4 \n", - "2 1 0 77 73 \n", - "3 1 0 74 75 \n", - "4 0 0 39 23 \n", - ".. ... ... ... ... \n", - "196 1 0 41 59 \n", - "197 1 0 17 39 \n", - "198 1 0 67 2 \n", - "199 0 0 74 40 \n", - "200 0 0 41 9 \n", - "\n", - " czy_zebrac \n", - "0 0 \n", - "1 0 \n", - "2 1 \n", - "3 1 \n", - "4 0 \n", - ".. ... \n", - "196 1 \n", - "197 1 \n", - "198 1 \n", - "199 0 \n", - "200 0 \n", - "\n", - "[201 rows x 9 columns]" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" + "ename": "TypeError", + "evalue": "globals must be a real dict; try eval(expr, {}, mapping)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[18], line 14\u001b[0m\n\u001b[1;32m 11\u001b[0m data \u001b[39m=\u001b[39m tree\u001b[39m.\u001b[39mexport_graphviz(d_tree, out_file\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, feature_names\u001b[39m=\u001b[39m[\u001b[39m'\u001b[39m\u001b[39mWzrost\u001b[39m\u001b[39m'\u001b[39m,\u001b[39m'\u001b[39m\u001b[39mwilgotnosc\u001b[39m\u001b[39m'\u001b[39m,\u001b[39m'\u001b[39m\u001b[39mdni_od_nawiezienia\u001b[39m\u001b[39m'\u001b[39m,\u001b[39m'\u001b[39m\u001b[39maktualna_pogoda\u001b[39m\u001b[39m'\u001b[39m,\u001b[39m'\u001b[39m\u001b[39mczy_roslina_robaczywa\u001b[39m\u001b[39m'\u001b[39m,\u001b[39m'\u001b[39m\u001b[39mpaliwo\u001b[39m\u001b[39m'\u001b[39m,\u001b[39m'\u001b[39m\u001b[39mpojemnosc_ekwipunku\u001b[39m\u001b[39m'\u001b[39m,\u001b[39m'\u001b[39m\u001b[39mcena_sprzedarzy\u001b[39m\u001b[39m'\u001b[39m])\n\u001b[1;32m 12\u001b[0m graph \u001b[39m=\u001b[39m pydotplus\u001b[39m.\u001b[39mgraph_from_dot_data(data)\n\u001b[0;32m---> 14\u001b[0m accuracy \u001b[39m=\u001b[39m \u001b[39meval\u001b[39;49m(d_tree,train,\u001b[39m'\u001b[39;49m\u001b[39mczy_zebrac\u001b[39;49m\u001b[39m'\u001b[39;49m)\n", + "\u001b[0;31mTypeError\u001b[0m: globals must be a real dict; try eval(expr, {}, mapping)" + ] } ], "source": [ "# Read the CSV file\n", - "train = pd.read_csv(\"train_2.csv\", delimiter=\";\")\n", - "train" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ + "train = pd.read_csv(\"train_3.csv\", delimiter=\";\")\n", + "\n", "x_train = train.drop('czy_zebrac',axis=1)\n", - "y_train = train['czy_zebrac']" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ + "y_train = train['czy_zebrac']\n", + "\n", "d_tree = DecisionTreeClassifier()\n", - "d_tree = d_tree.fit(x_train,y_train)" + "d_tree = d_tree.fit(x_train,y_train)\n", + "\n", + "pickle.dump(d_tree, open(os.path.join('.','tree.plk'),'wb'))\n", + "data = tree.export_graphviz(d_tree, out_file=None, feature_names=['Wzrost','wilgotnosc','dni_od_nawiezienia','aktualna_pogoda','czy_roslina_robaczywa','paliwo','pojemnosc_ekwipunku','cena_sprzedarzy'])\n", + "graph = pydotplus.graph_from_dot_data(data)\n" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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WyzfffEPdunUJCgoiODiYWbNmERERQffu3XN1vtnddDKeRq9fv050dDTbtm3D29sbY2Nj9u/fz5kzZ3L12RlBU8b5ZPx/SEgIzs7OwIuemJCQEPmJG+Dx48fo9Xq5Hc+fP8dgMKDRaAgLCyMwMJAJEybQtGlTTE1NCQ4O5sCBA8CLJ2YLCwuCg4NJS0vDyMgoS7sCAwPZsGEDHTp0oHDhwnL7FAoFhQsXpnr16qxbt04O0lq3bi1v4+joiK2tLRcuXODevXt89913FClShDlz5vDnn3+i1+upUKECAHv27KFGjRrMmzcPBwcH0tPT6dGjxytv6LVr18bX15erV69y5swZVq9ezcKFC/Hx8aF27do0aNAAW1tbuT3r1q177RDDypUrcxxyKlWqFCtWrCA0NBR7e3vgxbwEExOTHPcRq0wEIW+IACGP+fj4UKRIEXr16sVPP/1EsWLFuH37NuHh4bRp04Y9e/Zw9OhRevXqRXx8PPHx8SgUCpydneWnrjZt2vDLL78QGRnJ4sWLMTMze6u2+Pr64uLiQt++fRkyZAhWVlb89ttvXL58mf79+3P9+nWWL19Oo0aN8PDwwNjYmPDwcM6dO5frAOFVzM3NMRgMnDlzBmNjY+7evcv48eNfO0ExJ0WKFKFIkSL079+f0aNHkz9/ftavX8/JkyeZNWuWfDO/du0ao0eP5ttvvyUyMpIRI0ZQokQJnJ2dSUxMxNjYmHPnzlGyZEnCw8OZN2+e/FSu1Wr54osv+OWXX9BqtTRo0ICkpCT27dtH+/bt0el0DBkyhG7dupE/f355Ap+tra3cjd+5c2eaNm3K5MmTqVu3rhzMwP894c+dO5d8+fJRokQJrKys5HPx9/eXA8t8+fJx9epVrl+/zrNnz9i2bRsHDhzI9HkvUygU5M+fn9q1a1OtWjV69erFzZs32bhxIzNmzGDWrFkMHz5cXl44YsQI+vfv/8rPeznQ/acGDRowb948JkyYwJAhQwgKCmLevHmUKFGC0qVLAy/mkmRUdzU2NubMmTPs3buXmjVr4uDgQFBQEDNmzCAuLo6KFSvm4jdBEIS3In2CYmNjJUCKjY3N66bkKCYmRmrZsqW0f//+V25nMBikPXv2SFWrVpUsLS0ljUYjubi4SOPGjZNu3rwp2dnZSUCmLxMTE+nevXvyZ1y5ckUqUaKEVKlSJSklJSVX7bt06ZLk5eUlHTp0SH5Nr9dLf/zxh+Tr6yuZmJhIarVa8vT0lMaNGydFR0dL165dk6pXry7lz59fUqvVkrW1tVSlShXpyJEjkiRJ0okTJ6TixYtLZ8+elVJTU6Xx48dLzZo1k6Kjo6Xg4GCpVq1a0pw5c+TjxcfHSz179pS6d+8upaSkSGFhYVKPHj0kGxsbycjISPL09JS6desmubu7S3///fcrz+fGjRtSsWLFpJ07d2Y6n23btkkVKlSQTE1NJbVaLbm6ukpDhgyRnj17JsXFxUk9evSQGjduLNWqVUsyNzeXjI2NpfLly0s7duyQ9Hq9FB8fL02cOFFycXGRNBqN5OTkJHXr1k0qWrSotHjxYslgMEj37t2TvvvuO8nJyUlSq9WSpaWl1KBBA+nmzZtS27ZtJYVCkeVnuGDBAkmn00mSJEk6nU765ptvJEdHR+nkyZOSwWDIdG6LFi2SLCwspG7dukkGg0FKS0uTRo8eLQHSwoUL5e3PnDkjlSpVStJqtZK5ubnUoEEDqVGjRlKFChVy9TvxsufPn0vr1q2TTp8+/Vb7Zyc5OVlasmSJ5O3tLRkZGUkWFhZStWrVpEuXLsnbnDhxQlKr1dKZM2ckSXrxu/rFF19I+fLlk9RqtWRmZiaVKVNGWrJkiZScnPzK4xkMBqlz587Sr7/++s7OQRA+dbm9hyok6dPrv4uLi8PKyorY2NhXjlvmpdjYWLp27Ur37t1fO0Yv/f+Kc3fu3CE1NRU7OztKliyJkZERe/fuzTJ5S6VS0bhxY8zNzZEkiXv37tGxY0e6du3Kd999l6vhhejoaE6dOkX58uUzFcnS6/VcvXqVR48eodPpcHFxkWeyp6enExQUxP379+WcA4ULF6ZIkSIoFAqeP3/OuXPn5KfawMBAoqKiqFixIjqdjr///hsXFxeKFi0KvFgKefnyZQDKlCmDSqUiLCxMHjd3dHSkcOHCnD17lsqVK2dabpfd9T558iSlS5fO9MRsMBgIDAzk3r17pKen4+DgQKlSpbCyspKPL0kSdnZ2XL9+nfT0dLy8vChevLg8HBIdHc3ly5eJjIzE1taWUqVKERAQgJeXlzzZMCIigmvXrhEZGYmJiQnFihWjQIECBAQE8PTp0yztLVu2rFwGXJIkBgwYQGhoKIsWLcoyyS84OJjz58/j5eVFyZIlkSSJBw8ecPbsWWrUqCFPSNXpdAQGBnL//n1UKhXFixcnISGBZ8+eUb9+/df+TnwoSUlJ3Lhxg8ePH2NsbIy3tzeenp7ykM/z5885fPgwderUwc7ODr1eT1BQELdv3yY+Ph4jIyM8PT3x8vJ67QRZSZLo2rUrlSpVomvXrh/i9ATho5fbe6gIEN6TNwkQ3lZSUhJPnjxh1apV7N69m82bN+Ph4YFCoSA5OZmQkJBs91Or1Tg4OHxSWehSU1MJDg7O9j2VSoW9vf1bD63kFZ1OR3h4OBcuXGDgwIEMGzYs1wGekDsiQBCErHJ7DxVzED5hp06domPHjkiSxJAhQ3B2dpZvLufPn6d69erZ7ufm5sbq1aupVq3ah2zuv3Lnzh3Kli2b7XwER0dHli1bRpMmTfKgZW8vMjKSzp07c/z4cZo1a0aTJk1EcCAIwkdDBAifMF9fX5YtW4apqSmlSpXK1N3q7e3Npk2bst3P1NQUb2/vD9XMd8LV1ZUNGzZkSTsNLyYKlilTJg9a9e9YWVkxcuRIYmJiKFmyZKahHkEQhLwmAoRPmIODA40bN872PTs7O1q0aPGBW/TupKen8+TJE6ytrbGxscHKyipToZ7sJCUlERoairOz83sdPklKSiI8PJzU1FS0Wi2Ojo65ThaVcV7Jycl4eXlRtWpVOYHQs2fPiI+PJz09HWNjY+zs7DA3N5dzJoSFhREdHZ3lM42NjXFxcREZBQVBeKdELQbhoxQREcG3337Ln3/+met9Lly4wJdffsmNGzfeW7uio6OZMWMGNWvWxM/Pj7p167Jo0aJXpgnOIEkSly5dok6dOvj6+vLs2TP5vV27dtGuXTuqVq1KqVKlqFWrFoMHD5YnOKanpzN+/HhKlCiR5evbb7/NcX6GIAjC2xI9CMJHycbGhhkzZlCwYMFc71O8eHEWLlxI4cKF30ubDAYDW7ZsYf78+bRs2ZLq1atz6NAhpk6dSsGCBWnRokWmFMIvS09PZ8GCBeTPn5+IiAj59YzAwcnJiS+//BJbW1sOHjzI2rVrsbKyYtKkSajVanr16pWpxyg9PZ3Bgwfj6+ubY+0DQRCEtyUCBCFPZGRsjImJQa1W4+joSGxsLMbGxjg6OmZZmZCQkMCTJ09wdHQkJiaG+Ph4tFotBQsWlLNBGhsb4+DgkG02w3chIiKCXbt2UaZMGWbNmoWxsTENGjTgwYMHbN++nfr162NlZZXtvjqdjlWrVpGYmEjXrl35+eef5fcUCgVDhw4FQKPRoFAoaNasGSEhIZw5c0YeyvDx8cmUVvjIkSNIkkTr1q1zlVpbEAThTYgAQfjgDAYDBw8eZOzYsVy+fBlzc3OaNm1KUFAQFStWZNSoUURERNC+fXs6d+5Mjx49uHDhAl26dKF58+YcOnSImzdv4uTkRP/+/enXrx8Aly5dolevXqxcuVIuxPRPkiSxdOnSTKWeX2ZiYkL37t3RaDRZ3ouMjOTBgwd06tQJY2NjOc1yRg2FpKSkbAMESZIIDAxky5YtjBkzhocPH2Z6PyNF9D8plUqMjIzInz9/tm1JS0tj79692NjYfFKrUQRB+HSIAEH44B48eMCUKVNITExk7ty5mJmZsW7dOgICAjKlzn15yV9YWBgnTpygY8eOODo6smbNGmbPnk2rVq1emU74nyZNmkRoaGiO79vZ2dGpU6dsb8opKSnExcVRoEABuW0qlQpnZ2eioqJyTAmdlJTE6tWrqVKlCqVLl84SIPyTJEkYDAZ27tzJ3bt3+e2331CpVFm2CQoK4tSpU3z99ddicqIgCO+FCBCED+7KlSsEBgayc+dOypQpg0KhoFy5cnz99deZtns5h5elpSUDBgygVatWKBQKChQoQOfOnbl582auA4SbN29mu1Qyg0KhkKtqvkySJCRJeqNcBZIkceLECR48eMDMmTOzDTz+Sa/Xs3PnTmbNmsWIESPw9/fP9jPPnTtHSEgIzZs3z3VbBEEQ3oQIEIQPLj4+HrVajaenp/x0bG1tnaWa38s3YisrK9zd3eV98uXLh0ajeWU545f99ttvrxxiMDU1pU+fPtneyLVaLZaWloSEhMiBgl6vJywsDBsbm2wrVaanpzN58mRMTExYu3YtAFevXiUlJYX58+dTp04d6tati0KhIC0tja1btzJr1ix69epFixYtsvQewIuskps2baJatWpymmVBEIR3TQQIwgdnbm5Oeno6wcHB2NjYoFAoiI+PJzg4WK7oB1l7EBQKRaZVAm9zY5w1a9Yrhxjy589Pt27dsg0QbG1tcXNz48CBA/Tq1UtOaX3s2DGKFi2abc9Damoqjx8/JjQ0lCNHjgAv5mDodDpmzZpFeno6derUITU1lbVr1zJ79myGDRvGV199lePQQXBwMAEBAUyYMAELC4s3vgaCIAi5IQIE4YPz8fGhaNGidO/enf79+2Nubs7vv//O/fv3M93038eT8a1bt7IEHi/L6cZsb29Pw4YNGTVqFMOHD6d27drs3buX8+fPM3fuXDmn+f3794mOjqZs2bKYm5tnOeamTZvo168f58+fl5cnrlu3jp9//pkOHTrg7OzMhQsXgBfBlLe3t7wyQ5IkVq1ahYuLC1WrVn3lskpBEIR/QwQIwgfn5eXFTz/9xPjx4+nSpQtmZmbUr18fX19fTExM5MDgXdcRy261wJtQKpW0bt2aoKAgVq9ezZw5c3B2dqZ///40atRIvllPnz6dPXv28OjRo2yPmdE7odVq0Wg06PV69u3bR2RkJLNnz2b27NnytuXKlWPHjh04OjoCEB4ezr59+6hatSoeHh5vfS6CIAivI6o5vicfoprjpyw1NZVHjx7JeRDS0tLo0KEDY8aM4dtvv0Wn03Hr1i3s7e3lHAkPHjygcOHCcrd6UlISd+7cwdXVFVtbW+Li4uRtzM3N31vb4+PjefjwIUlJSZibm+Ph4ZGpkuT9+/eJiYmRJ2C+LCIiggcPHlCqVCmMjY2RJIm7d+9mSp6UwdzcnGLFisk9CImJidy5cwcHB4dcT8z8nIlqjoKQlajmKHzU/vjjD0JCQihZsiSJiYn88ssvmJmZUapUKRQKBUZGRvj6+srbW1lZZZqfAC8mFPr5+cnfW1paZvr+fbGwsMjUtpcVKlTolfvb2dlhZ2cnf69QKChSpAhFihR57bHNzMyyXAdBEIT3QQQIQp4oUKAAS5cuZfr06ej1enx9fRk6dCheXl5iVr4gCMJHQAQIQp6oVasWGzZsIDY2FkmSsLGxwcXF5bV5AgRBEIQPQwQIQp4wMjL6oJPs0tLSuHr1Kra2tnh6en6w4+aWJEnEx8cTFBREREQEOp0OGxsbihYtmmU+RUxMDDdv3iQxMRFLS0uKFSuWaRwxLS2N0NBQnjx5QkJCAn5+fjg4OHzoUxIE4RMnAgThsxAbG8vw4cOpWbOmXBjpYxIbG8u8efPYuHEjjx49Ii0tjQIFCtC2bVv69+9Pvnz5AHj27BkTJ07kzz//JDIyEgcHBzp16pRpm61bt7Js2TIuX75MZGQkmzdv5quvvsrL0xME4RMkFlELwkcgNTWV2NhY2rZty5YtW9i1axcVK1Zk0aJF7Ny5E0mS0Ov1rFmzhrVr19KzZ08OHz7M//73PxYvXsyuXbvQ6/UAPHz4EDc3N/r06UOBAgXy+MwEQfhUiR4E4Z2SJImIiAhu375NXFwcxsbGuLu74+HhgVKpRK/XExwcTFBQEPHx8ZiamlKoUCEKFCiAUqkkOjqaixcvUrRoUcLDwwkPD8fOzk4ucxwYGEh4eDj58uWjRIkSmJubk5qayuXLl7G0tMTIyIj79+8DL/ItuLq6ZpuuWJIk0tPTuXPnDiEhIej1ehwdHSlWrBgmJiYAPH36lDt37pCcnIypqSmFCxfG2dn5vSQnsre3Z/r06ZkmaJYvXx5vb2/u37+PXq/n2bNnHDx4kOrVqzNixAiUSiWlSpXi2rVr7Nq1i2bNmmFtbS2Xkg4ICGDdunXvvK2CIHweRIAgvFNPnz5lypQpbN68mcjISExMTKhYsSKzZ8+mWLFiPHr0iK5duxIYGEhUVBSWlpaUK1eO+fPnU6RIEW7fvk3Xrl2pVasWp06d4tGjRxQoUICRI0eSkJDA/PnzefToES4uLowcOZJ27doRExPDxIkTsbCw4MmTJ1y8eBFJkqhatSrjxo2jfPny2bZ1xYoVLFmyhDt37qDT6fDw8KBr167079+fe/fuMXbsWA4cOEB8fDyWlpY0atSI8ePH4+bmlu3nTZw4kfDw8ByvjYmJCSNHjsw2R4NCociyeiMpKQmtVkvBggVRqVRERUURFBREr169UCqVchKmatWqsX79epKTk7G2thbZFQVBeCdEgCC8U7du3WLr1q388MMP1KlTh9jYWA4fPkxMTAzwomSyp6cnXbt2xcHBgaCgIObOncvSpUuZOXMmAJGRkdy9e5dx48bh4ODA3LlzGTVqFIULF2b8+PE4OTkxffp0li9fTv369eUiSQcOHKBHjx5MnjyZu3fvMn78eGbPns3SpUuztPP06dNMmTKFWrVqMX36dExNTdm0aRPz5s2jVq1aXL58mWPHjjF9+nR8fX0JCwvj77//fmWhpx07dnDv3r0c37e0tOTnn39+bRInSZJITExkypQpFCtWjCZNmqBQKEhJSSEhIQEnJyd5W5VKhYODAzExMeh0uld+riAIwpsQAYLwTtnZ2VG0aFGcnJwwNjamRIkS1KxZU36qNTc3R6vVMnz4cEJCQuSb2j8TB1lZWdGvXz9atmwJQFRUFOfOnWPQoEE0btwYeBFo9OrVi4SEBKytrQGoXLkyY8eORaFQ4O/vT2pqKqNHjyYhISHL8sm//voLSZKoVasWsbGxxMTE4OPjw969ezl48CClS5fG09MTe3t7tFot/v7+8rFzcubMmVemh85NfoeMIZrp06dz8+ZNFi1aJAcEGb0ML5erNhgM2fZACIIg/BsiQBDeqWLFijFq1ChOnDjBjRs3iI2NxdPTk27dumFtbc3SpUvZtWsXzZs3x9PTE41Gw/r16zM9/ZqammYqY2xmZoaxsTGenp7yaxkpijMm5gEULlxYvlGqVCqcnJxIT0/PckMFeP78OUFBQXTs2DHTTV2hUBAVFUXVqlUZMmQIZ8+e5dixY8TGxlKuXDnatGmTYwXFsWPHvnaIYdy4ca/sQYiPj2fs2LE8fPiQyZMnU6hQIfmcM8pNBwcHy9vr9XqePn1Kvnz5si03LQiC8LbEXxThnStdujRlypQhJSWFyMhIOnbsiFqtZsCAAQQEBNCgQQPGjRuHqakpz58/Z+vWraSkpGT6jOyqOv5zsmF2T8sXLlwgISEBMzMzUlJSuHnzJmZmZtneOAsWLIi3tzfLli3DxsYGlUqFTqcjJSVFLoxUo0YNqlevTkpKCsHBwXTs2BFra2tatWqV7XkfPHjwlUMMVlZWDB8+PNsAQZIkwsLCGD58OMHBwcyaNYvixYtnOs/8+fNTqFAhdu7cSdeuXTE1NSUqKor9+/fj4+OTbblpQRCEtyUCBOGdOnr0KPPmzaNq1ao4OjoSFBTE48ePiY+PB6B48eLs37+fRYsWYWlpydGjR7l69SpFixb918e+e/cuPXv2pFq1ajx+/JiVK1fSsmVLLC0tSUxMzLRt69at2bZtG6NHj6Zhw4ZYW1sTGhrKqVOnGDZsGFevXuXIkSNUqlQJa2trbt26RXh4OElJSTke/8SJE2/d9piYGEaMGMHmzZsZPHgw165d49q1awAUKVIEPz8/7OzsaNq0KT///DPff/89lStX5ujRo9y7d49BgwbJgce9e/e4ePEiN2/eJC4ujhMnTpCcnEyxYsUoVapUtqs6BEEQXiYCBOGdyqisuHjxYp49e4adnR3NmjXjf//7HwDdu3fn3r17TJo0CRMTE1q2bEm1atWyrWT4pho1akR8fLycCKl58+b07dsXExOTLAFCiRIlmDZtGgsXLmTSpEkkJCTg7OxM1apVcXNzQ5IkDhw4wNSpU4mPj8fR0ZFu3bpRt27dHI//b+YAxMbGcvXqVeLi4hg+fHim9/r06cPUqVMxMzOjefPmhIeHs2TJEtatW4ebmxsjRoygdu3a8jyPw4cPM2DAADmYySgfPXDgQEqUKCECBEEQckWUe35PPtdyzwaDgcTERBISEtDpdKhUKiwtLTEzM5Mn2MXGxpKYmIhCocDKyoq0tDTS09NxcHAgNTWVyMhI8uXLh7GxMQDJyclERUVhb28vTzbMGL6wt7cnKiqKbt26Ua5cOfr3709cXBzwokvf3NwchUKBXq8nMjISY2NjrKys5LbGxcWRmJiIwWBAo9FgZmaGubk5BoOBhIQEEhIS5PesrKzQarXvZTKgTqfj+fPnpKWlZXnPwsIi0/LF1NRUoqKiSE9Px9jYGBsbG7kcNLyYxxAdHZ1lwqSlpSXW1taf1WRGUe5ZELIS5Z6FPKFUKrGwsMhxIp9SqcTGxgYbG5ts3zc2NsbZ2TnTayYmJri4uGR6TavVZnkNXtxMs/uFV6lU2NvbZ2mLtbW1vAri5e2trKzkYOJ9U6vVmZYvvoqxsfErt33V9RcEQcgtkVFFEARBEIQsRA+C8Mmzs7NjxYoVmbrZBUEQhH9HBAjCByNJEsHBwVy4cIGaNWvmOMzwplQqlVzJ8F1ISUnh5MmTPHjwADMzM2rUqEGBAgXQ6XSEhoZy69YtHj9+TNGiRalYsWKmJEzJycncvn2be/fuER8fj5WVFWXKlMHd3V3eRpIkHjx4wMWLF0lISMDOzo4qVapga2v7xm3V6XRcvnyZu3fvotfr8fLykpc8GgwGwsPDuXbtGuHh4UiShLu7O2XKlJFXPKSkpLB//37CwsIwMzOjfv365M+f/19fQ0EQ/gOkT1BsbKwESLGxsXndlBzFxMRILVu2lPbv35/XTfloGAwGaceOHVLZsmWl69ev53VzcvT8+XOpRYsWEiC5uLhIe/fulSRJkq5duybVrVtXcnFxkRQKhdS9e3cpLi5O3k+n00mbN2+WfH19JSsrK0mtVkvW1tZSgwYNpMuXL0sGg0EyGAzS33//LdWvX1+ytLSU1Gq1lD9/fqlLly5SeHi4ZDAYct1OnU4nLVq0SCpevLhkZmYmabVaqVixYtKePXskSZKke/fuSR06dJBcXFwkY2NjycjISPL09JTGjh0rxcTESJIkSREREVLVqlUlQHJ2dpbOnz//Dq9k3jMYDFLnzp2lX3/9Na+bIggfjdzeQ8UcBEHIwU8//cTFixepVasW8GLVg6enJ5MnT6Z27drZ7mNkZETbtm05cOAAt27dYtasWVy+fJnFixeTlpZGbGws8+fP5/79+6xatYqbN28yadIkdu/ezcqVKzNlhnwVSZLYsWMHkyZNokSJEuzfv58bN27Qt29ftFot8KJ3wdXVlXnz5nH58mX+/vtvypQpw7x58zh37hySJGFjY8P27ds5cOCAvGpEEAQBxBCDkEuSJHH16lXu3r1LgwYN5Fnyer2ec+fOERERQZ06dQC4ceMGt2/fJiEhAVtbWypVqpTtioPU1FSOHTuGubk5/v7+qFQqJEni3LlzREVFUaNGDUxMTJAkiYcPH3L27FliYmKwsrKiYsWKuLu7v9cle2ZmZuTLl0/OG+Dr68vSpUtJTk5m48aNWbZXqVR88cUXfPHFF/Jrnp6ebN26lefPn5OcnEx8fDwXLlyga9euNGnSBI1Gg4eHB4cOHeLYsWO0b98+V6sZ4uLi2Lx5MzY2NixcuFAeFujTp4+8TdGiRRk/frz8vSRJjBs3jipVqvD8+XMg86qSz2n5oyAIrycCBCHXQkNDGTZsGIUKFcLPzw+FQkFqaioTJkygaNGi1KpVi6NHj/LTTz/x5MkTUlJSsLCwoHLlyixevDhLkJCUlMSKFStwdXWlXLlycoCwe/durl+/TtmyZdFqtZw5c4bRo0dz/vx5EhISMDU1pWrVqkyYMEFux8t69epFaGhojudiZmbG0qVLX1tZ8W1IkoQkSaSkpHDu3Dnu3btH69atMTc3lzNKpqenZ9pWp9MRHBxMdHR0rgKEsLAw7t69S926ddm/fz979+7FzMyMFi1aULNmTdRqdbbXJTIyEhsbmyxLSQVBEF4mAgQhVxQKBSVLlsTT05O//vqLUqVKoVAouHv3Ljdv3qRPnz6YmJhgbGxMy5YtKV26NGZmZty5c4fp06ezceNG+vfv/8bHDQsLY+rUqaSlpbFlyxa8vLy4f/8+gwcPZtmyZUyZMiXbNf9BQUEEBQXl+LmWlpa57s5/U8+ePaN27do8ffoUSZJo0aIFffv2Ra1WY2lpSaVKlViyZAkODg6UKFGCY8eOcfz4cczMzEhNTc3VMZKSkoiJieHy5cv89ddfaLVakpOT2bFjB+PGjZPrX2SQJIknT54watQoWrduTdmyZUWPgSAIryQCBCHXHB0dqVmzJhs2bGDgwIFYWFiwevVqvLy8KF++PAAajYaLFy+yYMECYmJikCQJpVLJ48eP3+qYYWFhBAQE0KxZM65cucKVK1cwGAy4urpy+fJl4uLisg0Qdu3a9a/O9d8wMTGhVatWREREEBISwoULF9i3bx+tW7fG0tKS3r17ExkZyc8//0xKSgolS5bkiy++4OTJk7lOg6xQKOTrunLlSsqUKcPDhw8ZOHAgy5cvp3nz5vLKDoPBwM2bNxk1ahTFixfPVLdBEAQhJyJAEHJNrVZTu3ZtVq1axfHjxyldujTHjh2jTZs25MuXj8TERGbMmEFERAQTJkygQIECqFQqhgwZku3TekZpZumllMAZ3e8AaWlpxMfHs3z58iz7+/r6ZioT/U9du3bl6dOnOZ6Lubk5v/3223vJOGhpacno0aPR6/VERUUxbtw4fvvtNypXroyHhwdlypRhwYIF3L9/n/T0dJydnZk7dy729va5bo+pqSlWVlZ4enpStWpVFAoF3t7eNG/enPHjx8s9EZIkce/ePQYOHIiHhwcjR47Ezs7unZ+zIAj/PSJAEN5ImTJlKFWqFH/88QdPnjwhNjaWNm3aoFAo0Ol03Lt3j27dutG5c2cAbt26RXR0dLafpVarsbGxyZQz4Pnz55w4cUJOi2xhYYG7uzt9+vThyy+/xNTUFL1eL9dbyGksPSIigrCwsBzPw8LCAoPB8G8uRRZ6vZ5nz56h1WrlGhBGRkYYGRmRkJAgl7SOj49Hq9VSpUoVdDodly5dYvv27XTs2DHX6ZadnJzw9vbm1q1bPH/+HFtbW2JjY7l16xb58uVDrVaj0+m4du0avXv3pkKFCgwfPlzkOBAEIddEgCC8EbVaTfv27enduzc3b96kWrVq8k1No9FQvHhxVq1aRUREBDqdjrNnz2bqEfgnExMTfHx82LhxI0OHDsXR0ZErV67w9OlTOUAoWLAgX331FTNnzuTy5csUKFCAlJQUbt26hbe3N0OGDMmUqCjDtm3b3vm5P3/+nL/++ouwsDDu3btHeHg4s2fPxt3dnaZNm6JWqxk7dizx8fF4enqiUqm4f/8+u3btokOHDhQoUACA/fv3s379eooXL05iYiK7du2iUKFCtGvXTl6ieO3aNY4ePcq3336b7RO/hYUFLVu2pGfPnnTr1g0/Pz+Cg4PZuXMn3bt3x8LCgocPHzJo0CAePHhAjRo1WLFihbx/nTp1KFOmjFwAShAE4WUiQBDeWJUqVbCysuLBgwfMmDFDnuxmYmLCjz/+yLhx41i8eDHOzs707NmTrVu3ymPrSqVSnmGvUqn48ssvuX37NmvWrEGj0dC2bVs8PT0JDQ1FoVBgbm5Ov3795HTK69evx9LSkgoVKlCrVi1MTEw+2Hk/e/aM+fPnc/PmTfm1S5cuUaFCBapUqYKrqysNGjRg2bJl/PrrryQlJeHm5sYPP/xA165d5eGDEiVKYGpqyi+//IJKpaJOnToMGjSIEiVKAMhLPcePH0/9+vVzHBKoXbs206dPZ/r06Rw+fJj8+fPTp08funXrhlar5fnz54SGhhIdHc2sWbMy7WtiYoKfn58IEARByJEo9/ye/JfLPWcs4TMYDGi1WpRKpRwkGAwG0tPT0ev1chd7eno6SqUSjUaDXq+XyxQrlUp5iV9GL4NGo5GX/hkZGcmfq9frSUtLk+crqFQqNBqNPI/hXYqIiKBnz57Y2NjQo0cPChcujLW1NQaDgdTU1CxDE0qlEmNjY3k+Rcb5w4t5FhqNBpVKJbczY5uM+RNqtVo+l4xznTRpEgcOHHhtAiODwUBaWhoGgyHLsTKuWXZDKUZGRqjVavR6Pbdv3+b8+fOMGTOGTZs2UbZs2XdyHT8Gkij3LAhZiHLPwnujUChyfHLPuFn+0z9n5qvV6kzL7zJuatkNE7z8GR+ytwBg2bJl7N69m+XLl9OgQQOUSuVr26BQKF6bkfCfcxOyExcXx6NHj+jWrdtrr4tSqZSHJV6Wm2sWGxtLz549OXnypMiNIAhCJiJAEISXWFlZMW7cOPr164eRkRFFihT5oMc3MzPjp59+wtnZ+b3nKrC0tGT+/PnExcXlybkKgvDxEgGCILwkY7JlXjEyMqJYsWIf5FgajQY/P78PcixBED4tYoaSIAiCIAhZiABBEARBEIQsxBDDe5Sens7Dhw+5evVqXjflk5exeuFzqB/wOZ3r+yZJErGxsXndDEH4JL1xgHD8+HGmT5/OhQsXCA0NZevWrTRv3lx+X5IkRo8eza+//kpMTAxVqlRh8eLFeHl5ydtERUXx/fffs2PHDpRKJS1atGDu3Ln/qfzwKpUKa2trtm3bxoEDB/K6OZ+8Z8+ekZKSQsGCBf/TN05JkkhOTiYsLAwXF5fXrogQXi0jQLC1tc3rpgjCJ+eNA4TExERKlSpF586d+frrr7O8P23aNObNm8eqVavk3O8NGjQgMDBQXo71v//9j9DQUA4cOEB6ejrfffcd3bt3Z+3atf/+jD4SpqamTJo0SU6vK7wdSZIICAhg8uTJ/Pzzz1SpUiWvm/TexcTEMGXKFExNTRkyZEiOyyGF3FEqlXLhKkEQ3oD0LwDS1q1b5e8NBoPk6OgoTZ8+XX4tJiZGMjY2ltatWydJkiQFBgZKgHTu3Dl5mz179kgKhUIKCQnJ1XFjY2MlQIqNjf03zRc+cgaDQbp06ZLUrFkzaf78+ZJOp8vrJn0QBoNBun37ttS4cWNp5syZUkJCQl43SRCE/5Dc3kPf6STFhw8fEhYWRt26deXXrKys8Pf358yZMwCcOXMGa2trypUrJ29Tt25dlEolAQEB2X5uamoqcXFxmb6E/77Q0FAmTJhAqVKl6NChQ65LIX/qFAoFRYoUYfz48ezatYv169fL1RkFQRA+lHcaIGRUz3NwcMj0uoODg/xeWFiYXIgng1qtxtbWNsfqe5MnT8bKykr+Kliw4LtstvCRkSSJ58+fM3z4cJycnBg4cOB7Kcv8sfPz82PYsGGsWbOGAwcOvFH1ycuXL+Pj45Plq3fv3q/cz2AwsHXrVr777jtCQ0P/7SkIgvAJ+yRWMQwdOpSBAwfK38fFxYkg4T9KkiSioqKYOHEiBoOBSZMmyaWTPzcKhYKaNWuSmJjIlClTsLKyokqVKrkqsJSUlMTdu3cpW7ZspoA8N+Wko6OjefjwYY5VOAVB+Dy80wDB0dERgPDw8Ex/iMLDw+VsbY6Ojjx79izTfjqdjqioKHn/lxkbG4vZ3J8JvV7P/Pnzefr0KRMnTvxsgwNArnjZqFEjoqOjGTNmDJMnT6Z8+fK5uia2traMHTs205CfIAhCbr3TIQYPDw8cHR05dOiQ/FpcXBwBAQFUqlQJgEqVKhETE8OFCxfkbQ4fPozBYMDf3/9dNkf4xKSlpbFkyRJOnjzJqFGjKFSo0GcbHPyTRqPhm2++oXHjxowdO5Z79+7JuRLelCRJPH78mAkTJlCzZk1Kly7NN998w6lTp+QKlP+k0+k4fvw4//vf/yhXrhy1a9dm5syZxMfHAy+GJG7cuMGAAQMoX748FStWZPjw4YSHh/+rcxYEIe+9cQ9CQkIC9+7dk79/+PAhly9fxtbWFldXV/r378+ECRPw8vKSlzk6OzvLuRK8vb1p2LAh3bp1Y8mSJaSnp9O3b1/atGkjqsl9xlJTU1mzZg1btmxh5syZlChRQgQH/2BsbEy3bt2IjY1lxIgRzJw5kwIFCrxyn+TkZI4ePUpkZKT8WtWqVdmyZQtbtmyhQIEC5MuXj7CwMLp06cLvv/+eafIwwO3bt+nbty8qlQoPDw/S09NZv349xYsXp1GjRty+fZtvv/0Wg8FAoUKFMBgMrF+/nlu3brFq1ar/VG4TQfjcvHGAcP78eWrVqiV/nzE3oGPHjqxcuZKff/6ZxMREunfvTkxMDFWrVmXv3r2ZStKuWbOGvn37UqdOHTlR0rx5897B6QifIkmSOHr0KBs2bGDAgAGUKlVKBAcvUSgUWFpa0q9fP0aOHMmECRMYN25clgm//xQTE8PEiRMzvXbgwAFq1KhBQkICoaGhpKSkkJycTHh4OAEBAVkChOTkZNLS0pg1axZ169YlNTWV+/fvkz9/fgBWrlyJiYkJc+bMoVSpUhgMBo4cOcKAAQM4d+5cpr8VgiB8Wt44QKhZs+YruzcVCgXjxo1j3LhxOW5ja2v7n0qKJLw9g8HA1atXmThxIj179qRhw4a5moT3ubKzs2Ps2LH079+fOXPmMHjwYCwtLbMNqOzt7ZkxY0am5FJWVlbMnj2bFStWyP+OJUkiJSUl2+XDhQsX5uuvv2bhwoVcvnyZkiVLUqZMGXml0pkzZ7hx4wbt2rVDoVAgSRI6nY6YmBju378vAgRB+ISJv8RCnjEYDFy+fJnBgwfTtm1b2rRpg0ajyetmffTy58/PuHHjuHnzJosXL84xR4JKpcLJyQlPT0/5KyEhgc2bN9OpUycuXrxIUFAQt2/fznF4z8rKigkTJjBv3jy8vLwICAigVatW8jwjjUaDnZ0d/v7+VKxYkUqVKlGtWjVatmyJu7v7+7oEgiB8AJ/EMkchdyIiIvjxxx9f2cNTo0YNOnfu/AFblT1Jknjy5AkTJkygYsWKdOzYUfQc5JJCocDT05ORI0cycOBA8uXLR6dOnXIVXEmShCRJmJqaYmpqSnh4OCtXrswx58GjR484ceIEVatWpWnTppQpU4a9e/eyefNmGjRoQJ06dXj27BktW7akVq1aGBsbExISwpkzZyhevPi7PnVBED4gESD8h6SkpHD06FE5QIiPjyc+Ph4HBwc5C+HLSazygvT/C+gMHjyYQoUK0b9//0xzVITXUyqV+Pn5MXPmTAYMGICFhQUtW7ZEpVK9cv6Gra0t9erVY+7cuSxZsgSVSkWBAgVynPAYFhbGmDFj0Ol0cnABULlyZQC6du1KQEAA/fr1k4+rUCjInz+/WJUkCJ84ESD8hxQoUIBHjx4BL5anLViwgMWLF3P06NFcJcj5UJ4/f87YsWOxsLBg6NCh2NjY5HWTPkkZQcLgwYOZPXu2fPOHF/MPslsZZGlpyfDhwylWrBiBgYEULFiQli1bsm7dOnlyqJeXF40bN8bMzIzSpUuzcuVKjh8/ztOnT7G1taVmzZrUrl1bPs6KFSvYs2cP58+fJz09nYIFC1KvXr1MFVwFQfj0KKS3XVCdh+Li4rCysiI2NhZLS8u8bs5HKbsAISgoiDlz5vDVV19x9+5dzp49S+PGjXF3d+f333/n+++/x83NDYDHjx+zcOFC2rVrh6+vL5IkERMTw9atWwkICMBgMFChQgW++eYbLCwscr3qICkpiWnTphEYGMj06dPl4wlvLyUlhQ0bNrBq1SpmzZolVoEIgvBKub2Hih6Ez0hMTAybNm3i/PnzPH36FGNjY0qXLo1Wq2X37t20b99evmHHxMSwZ88e6tati6+vL7GxsXTq1Inz58/LWS137drFyZMnWbp0aa6GCNLS0vjtt984f/48U6ZMwdXV9b2e7+dCq9XStm1bYmNjGTp0KFOmTMHHx0fM6RAE4V8Rf0E+M6mpqVhbW7N582auXLlCjx49crXf2rVruX79OrNmzeL8+fNcvHiRKVOmcOzYMblS5+uOu2HDBrZs2cKoUaMoWbKkeMp9hzQaDd26daNcuXJMnjyZoKCgt862KAiCACJA+OyYmprSqlUrfH19Uatz34F07Ngx4uPj2bBhAz169KBbt25s3LiRhIQErl69+sp99Xo9Bw8e5LfffmPEiBGUL1/+356GkA2tVku/fv2ws7NjwoQJxMfHiyBBEIS3JgKEz4yRkRGOjo6Znt5VKpWc4CZDcnJypmp+aWlpJCUlcfPmTW7cuMGNGze4f/8+zs7OmJiY5Hg8SZI4e/Ys06ZNo2/fvtSoUUP0HLwnCoVCDg6Sk5MZPXo00dHRIkgQBOGtiADhM/TyDdrJyYnExEQCAgJITEwkPDycXbt2ZSq44+/vT+HChVmyZAl///03ly9f5vDhw8ybN4+vvvoq2+NIksTly5cZNmwY7du3p2nTpm/UayG8OYVCgbW1NVOmTJEnpSYnJ+d1swRB+ASJv9YCHh4eeHh4MHXqVLZt20ZqaiqJiYmZEu+0a9eOnTt30rVrV9zc3DAyMiI+Pp7IyEhWr14t5+bPIEkS9+7dY/To0TRs2JD//e9/omT3B+Ti4sKwYcMYNmwYq1atomfPnqLnRhCENyJ6EP6jMrqbixYtKj+1a7VaihYtmqXCnlarZcmSJdSsWZO4uDh8fX0ZN24c1apVw8LCAnhxw1m/fr2chTE6Oho3NzfGjBlDyZIlsxw/NDRUnozYu3fvVw5DCO+eUqmkdOnSTJ48mXXr1rF+/XrS0tLyulmCIHxCRB4E4Z2Liopi9OjR6HQ6Ro8ejaOjY1436bMlSRL79u1j5syZ9OvXj8aNG8tZNQVB+DyJPAjCBydJEomJicybN4+nT5+yYMECERzkMYVCQe3atQkNDWX27Nm4ubnh4+OTabgh4xlBDEEIgvBPYohBeGdSUlJYtGgRZ8+eZebMmSI4+EhoNBratWtHq1at+OGHH7hx4wYGg0HOjvnXX3/lWBFSEITPlwgQhHdCr9ezYcMGDhw4wOjRo3F1dRVPpB8JhUKBRqOhS5cu1KpVizFjxnD//n0iIiIYP3483bt35/z583ndTEEQPjJiDoLwrxkMBnbs2MG0adOYOnUqlSpVEuPcHyFJkoiOjmbcuHE8e/YMvV7Prl27SEpKokOHDixfvlykZxaEz0Bu76Hir4HwrxgMBg4cOMC8efMYMWIElStXFsHBRyojR0KrVq24e/cuW7duJTExEUmSOHnyJFeuXMnrJgqC8BERAYLwr1y+fJkZM2bQpk0bateuLZ5AP2KSJHHlyhXGjBnDlStXMmXKfPr0Kfv27cuUTVMQhM+b+GsuvJWMREgjRoygQYMGtG3bViRC+shdv36dHj16cPjw4UzBAbxIrX306FFCQ0NFamZBEAARIAhvQZIkHj58yMiRIylTpgz9+/fHzMwsr5slvIa7uzvNmzfH29s722Du2LFjXLx4MQ9aJgjCx0gECMIrSZKEXq/P9FpcXBxTp07FxsaGAQMGiDkHnwgLCwt+/vln1q5dy08//USBAgUyvZ+SksK6deuy9C4IgvB5EgGCkCNJkjh+/DjLli0jKSkJSZJITk5mypQpxMTEMHToUGxtbcVyxk+IWq3G19eXYcOGsWnTJtq2bYuVlZX8/t69e3n06FHeNVAQhI+GCBCEHKWnpzNjxgwGDhzIlClTCAkJYfr06Vy7do05c+ZQoEABERx8orRaLRUqVGDlypVs27aNevXqYWNjQ2JiIr/99hsGgyGvmygIQh4TqZaFHN26dYtjx46RlJTEtGnTuHTpEmq1mrFjx+Lo6PjJBQeSJHHixAnxhJyNBg0ayOW5t2zZgpubW5aiXsLnqVChQpQvXx4jI6O8borwgYkAQciWwWBg1apVJCcnA5CamsquXbto2LAh+fLly+PWvb0//viDO3fu4ObmltdN+eg4OjpSs2ZNnj17xo4dO7C3t8/rJgl5LDw8HA8PD3x8fESA8BkSAYKQrXv37nHo0KFM6+IlSWLv3r107dqV+fPnU6xYsU+uF8FgMNC2bVu6du2a1035qEmS9Mn9bIV3b/fu3WzcuFEsff1MiQBByMJgMHDkyBEePHiQ5T1Jkjh27BgLFixgypQpWFhY5EEL/x2FQiESOglCLogg8fMmAgQhE0mSiIiIYN++fcTHx2d6T6VSYWdnR8eOHenTpw8mJiZ51EpBEAThfRMBgpBFYGAgBw4cyPSai4sLDRs2pHfv3pQqVQqlUvlZPV0YDAZu3LhBcnIyfn5+uRqPTU1N5fz589ja2uLt7f3O2xQVFcW5c+coV67cRzUvRJIkwsPDuX79OuXLl8+0jPJtJCUlcfr0aby8vN7Z3JG4uDhOnz5N6dKlcXBweCef+b5lXNfAwEDi4uKwtLTE19eXfPny5fhvUZIkdu/eLc8lyuDl5YWPj4/oSRNeSfx2CJlIksTGjRtJTExEoVBgYmLCV199xYIFC5g/fz5lypRBpVJ9VsEBvChn/ccffzBv3jwSExNztU98fDyTJk1i48aN76VNd+/e5YcffuD27dvv5fP/jcuXL/Pzzz8TFBT0rz8rKiqKH3/8kePHj7+Dlr0QEhLC999/z9WrV9/ZZ75PGanNf/zxR9q0aUOrVq1o06YNgwYNIjw8/JX79ejRg1atWmX6WrFiRZYEaILwsk++B0GSJFJTU0lJScnrpvwnREREsGnTJpRKJe7u7owaNYpq1aphbW1NamoqqampedY2rVaLVqvNs+O/KRsbG3799dfPrkaFQqGgWrVqbNu27Z08nTs4OLB9+3asra3/feP+v0KFCnHgwIH3slJDkiR0Oh3Jyclotdp3Mvs/LS2NX375hcOHDzNixAiqVKnC2bNnmTRpEosWLWLUqFGo1dn/OddqtQwfPpyOHTvKr1lbW+e4vSBk+OR/Q/R6PatWrWLLli2vrGstvJ4kSdy9exe9Xk/JkiVxc3Njx44d7NixI6+bRnx8PC1atKBbt24f5Hh6vZ7bt29z+/ZtlEolRYsWzfR+SkoK586dw8rKCjMzM27cuIFer6d48eIULlwYlUqFTqfj7t275MuX77VDAJIk8ezZM65du0ZUVBRmZmZ4e3vj4eGBQqFAkiSioqK4dOkSMTExODs75zoo1ul0cvVGFxcXrl69SnJyMoUKFcLHx0e+USQmJnLnzh2CgoJIS0sjX758lC5dGhsbG5KSkjh48CDlypXD2dmZxMREAgICSEpKokmTJigUCqKjozl16hQVK1YkPT2dwMBALC0tMTY2lrvHr127RnR0NCYmJpQsWRJ3d3ckSWLbtm1Zgk+VSkXjxo1RKpXcuHGDYsWKYWlpiSRJJCYmcuPGDZ48eYJCocDV1RVfX180Gg2xsbGcPHmSkiVLEhkZycOHDzE3N6dMmTLkz58fhUJBSkoK165do3z58piampKens79+/d5+PAh8fHxWFpaUqJEiTdKBpbxM7p16xanT5/m2LFjDBo0iFq1auVq/1dJS0vj8OHDtG7dmq5du2JiYkKZMmUIDAzk8OHDdOrUCU9Pz2z3VSqV5M+fHy8vr3/dDuHz8skHCJIkERwcjIeHB61bt87r5nzS0tLSePr0Kba2tlhYWHxUwwgrVqwgJCTkgxwrYxXHmDFjuHDhAiqVSh6rzujBiIuLY9asWZiYmBASEsLFixfR6/VUqVKFqVOnUqZMGeLj45k2bRr+/v6ULFkyx+NJkkRISAhDhw7lwIEDREREYG5uTunSpZkxYwZly5YlOTmZoUOHsn37dqKioihYsCDVqlXLVY9Oamoqq1at4t69eygUCk6dOkVycjI+Pj5MnjyZevXqodPp2LRpEzNmzODhw4ekpqZib29P69atGTFiBEqlksGDBzNs2DDatWvHw4cP+emnnwgNDeXKlSvkz5+fY8eOMXHiRFatWkVQUBDDhg1j1apVWFlZERgYyKRJkzhw4ABRUVGYmppSrVo1xo4dS6lSpejevTuRkZGZ2p0/f36uXLmCXq9n6NChDBo0CA8PD1JSUpg6dSobNmwgKCgIhUKBh4cHgwYNonPnzgQFBfHDDz9Qs2ZNAgICuHv3LhYWFnz99dfMnTtX/pkNHDiQRYsW4eDgwJUrV+jTpw/37t0jNjYWKysr/P39WbJkCa6urq+8vnq9ngcPHrB7924OHz5MUFAQnp6eNGvWjGLFisnbLViwgEuXLuX4OcbGxvz00094eHhk+77BYJD/Tf7zv+Hh4YSGhuYYIOh0Ovbs2cOdO3ewtLSkVq1aVKtWTUwyFl7rkw8QMhQqVIjatWvndTM+aQaDAUmSPsoJiIcPH/5gbQoPD2fOnDnExcXx559/UqBAAbZu3cq8efP44osvMm176NAhBg4cyLx587h79y4DBgxg165drwwIXiZJEkuWLOHgwYP88MMPNG7cmOvXrzNhwgRGjx7NmjVr2Lp1K9u2baNTp060adOGBw8eMGvWLGJiYnJ9nBMnTtCjRw/GjRtHTEwM/fr1Y8OGDVSsWBGtVovBYKBVq1aUKVMGIyMjLl26xOLFi6lWrRpNmjTBz8+PK1eu0KJFCx49eoSlpSXR0dGcOXOGpk2bsnfvXgoXLoyHh0emuQfx8fHMmTOHq1evMnfuXHx9fXn69CmjR49m4cKFzJo1i0uXLslj4mFhYSxevJgGDRpgb29PaGhopvPYtm0bK1asoGPHjnz99dfo9XpWrlzJtGnTqF69OgAJCQlcv36d4cOHU6JECdatW8evv/5Kt27dKF++fJZro9PpqFixIj/++CO2trbcv3+fmTNnsnLlSkaNGpXt9YyOjubIkSOsW7eOW7duYWNjQ/PmzWnQoAEuLi5YWFhkKmR2+fJl9u/fn2NOATMzM7p3757texqNhkqVKrFx40a8vb2pVq0aAQEB7Ny5k9TUVJKSknL8uatUKq5evcr169fla9W7d28GDx4skh8Jr/SfCRCEf0/MaH7h2bNnXLp0iYULF8oBQfHixTl37lyWbevWrctPP/2EQqGgSJEiHD58mPv377/RXA2DwcCOHTv4+uuv+eGHHzAxMcHX15fk5GSmT5/OzZs32b17N2XLlmXkyJFy70JKSgpDhw7N9XHKli3LqFGj5NwVHTt25PDhw8TGxqLVanFycmLDhg3MnDmT+Ph4JEnCyMiIJ0+eoFarqVmzJuvWreP58+cEBARQtmxZvLy8OHbsGLVq1eLcuXO0b98+yzyR6Oho9u3bR7169eSVHQDlypXj5MmThIWFyas8IiIi2LVrF3Xr1qVFixbZVgr9888/yZ8/P+7u7ly/fh2AokWLsmPHDv7++29KlSqFiYkJPXr0oE2bNgAYGRlx4MABbt26lW2AYG5uTlRUFP369ePZs2fy0/rNmzdzvJ5Tp05l1qxZlChRgoEDB9KmTRu0Wm2Ogeyvv/76uh9RjvsaGxvTu3dvQkJCGDx4MImJiXh4eFCnTh327duXY0VVhULBqFGjqFKlCg4ODty7d49p06YxZ84cWrdunWXoTBD+SQQI78E/nxDeZPzyTfd5G9k9vbzueG+zz6csPT0dvV6fqd5ExqTNl3NDeHp6olAo5ORLlpaWxMTEvHHmubi4OBwcHDAxMZGPWahQIXQ6HYmJicTExGBvb4+5ubn8vrOz8xtN2nR1dUWtVstzGqytrdHpdOj1esLCwpgyZQqSJDFmzBhsbW3R6/WMHDkSvV6PUqmkePHihIaG8vTpU65cuULLli0xNzfn119/5ejRoyQkJFCxYsUsx9XpdERHR7N8+XJWrFiR6doULVqUtLQ0JEkiJiaG2bNnU6RIEVq2bJnj5M5nz55x+fJlevTokemzTExMiIuLA14EBP+cP2BiYoKxsTFpaWlZPk+v1zNnzhwuXLhAjx49cHNzQ61Ws2DBglfO9G/VqhUAJ0+eZMWKFVy7do0vvvgCf39/TE1Ngcz/TubOnSsHR9nRarUMHTqUQoUKZXlPoVBQvHhx5s+fz9WrV0lMTMTNzY3du3djbW2NjY1Ntp+pUCho3769/L2vry8dO3bk1KlTBAYGigBBeCURILwHT58+pV27dgwcOJCmTZu+dntJktizZw+LFi1i7ty52f6BeBfS0tLYvn078+fP5+nTp5QuXZpBgwZRtmzZHGc06/V6bt68ydy5czl27Bi2trZ06tSJDh06yH8E/2tMTU0xNTXlwoULlCpVCiMjIyIjIzl37lymMWUgxye3N6FQKChYsCCBgYGEhobi4OBAamoqx48fx8TEhPz58+Pm5saNGzd49OgRBQsWJD09nYsXL5KQkJDr42TXQ5Rxg42LiyM4OJiZM2fSuHFjJEni6tWrckCU0UYXFxd2795NSEgI3t7eFChQgKlTp7Jq1SpMTEwoXbp0lmMYGxvj5uZGmzZt+Oabb9BqtXLpcAA3NzeioqJYsGABhQsXpk2bNq9c+eHl5YVWq2XmzJlyufH09HQSExMpUKAAwcHBOWbLzC5wyyhS1bx5c3766SeMjIzka/GqQK9MmTKUKFGC2NhYLl26xLp16+jXrx/m5uY0btyYL7/8kiJFishj/RmTF3Niamr6yp9nWloalpaWNGzYEEmSePDgAZs2baJ06dIULlw4230SExNJS0vDzMwMtVpNSkoKjx8/Jjk5+Z2uChH+m0SA8B5otVqqVauGk5NTrvdxcHCgcuXKmJmZvZc2SZLE9u3b6dWrFyVKlKBSpUpcvXqV7t27s3LlSvz8/LL0CmRMAO3bty8hISH4+/sTERHB0KFD0ev19OzZ853cID82Tk5O1K1bl4kTJxIcHIy9vT3Hjh3j6dOnWQKEd0GhUNChQweGDRvGwIEDqVixIvfv32fDhg20atWKokWL0qZNG/73v//Rp08f6tSpQ0hICIcPH872ifhtWFhY4OTkxMKFC3n06BExMTHs27cPjUYjb+Po6EiJEiX45ZdfKFu2LEWKFEGlUuHi4sLevXtp3759tmPa+fLlo02bNixfvpzw8HCKFClCWloaN2/exMLCgkGDBjF37lwuXLhA8+bN+f333wFQq9W0aNEiy+d16dKFzp07M3LkSKpXr45WqyUkJIQrV64wffr0Nz73jKfzHTt2yDfS48ePExoa+sqZ/wqFQl5627BhQ+rXr8+jR484cOAAhw4dYvfu3UyZMoWaNWsCsGTJkjdu2z+dPXuWhQsXUq5cOdLT09m2bRt6vZ5evXrJw0Z37tzhxIkTfPvtt5iamrJr1y7+/PNP/Pz8sLKy4t69e2zZsoXChQtTpkyZf9Ue4b9PBAhv4XXdx7a2towdOzZX22d0T5cpU+a9/oONiopi7dq1FC1alJUrV+Ls7Mzp06fp0qULe/bsoWTJkpluBhntPnHiBHfu3GHOnDk0a9aM6OhofvjhB9auXUvTpk1fO8P7U2Rtbc2AAQNITU1lyZIlqNVqmjdvTqNGjeQbck5DLG8z9KJQKGjRogWRkZGsXLmSrVu3ki9fPlq2bMmQIUMwNjamWrVqDB8+nEWLFjFy5Ej8/Pxo3rw5a9aseaPjvPx9xmuOjo7079+fyZMnM2zYMDw8POjevTvLli2Tt9dqtfj6+rJmzRr8/PywtLREp9NRtmxZtm7dmuMkYa1WS7du3TAxMWHlypUsW7ZMnmfRs2dPEhIS+PXXX4mNjeXIkSPyfiYmJtSoUSNL0FGxYkWmTJnCsmXLmDRpEmlpabi5udGsWTOcnZ158uTJa6/BP/+rUqn4/vvvGTFiBFOmTMHGxoYOHTpke81eRalU4unpSffu3fnmm2+4e/fuO60a6uzsjEajYdq0afKkyrFjx1K5cmV5m9OnT9OrVy+aNGmCqakpfn5+7N69m6VLl/L8+XPs7OyoV68evXv3/iTrqAgflkL6BMt0xcXFYWVlRWxsLCYmJowdOxYrKyt++umn935sSZK4c+cOY8aMISAgACcnJzp37syuXbto1KgRXbt2JSQkhG+//ZaffvqJZs2asWvXLmbNmsV3333Hhg0buHbtGsWLF2fSpEn4+fkhSRK7du1i4cKFzJ8/P9vuQoPBwL17914ZbGg0Gnnd/MsuXLhAx44d6dWrF3369AFezC4fOHAgQUFBbNmyJUvvhU6no3v37oSHh7Ns2TK5R2TPnj306tWLpUuX0qBBg39zOXNtxIgRaDQaRo8e/dafIUkS3bp1w9/f/7X5FDK6wDNmh5uammIwGDAYDJibmwMvrp9arcbU1FQe109MTMy0TVxcHBqN5rU9Q5Ikyd3kOp0OpVKJqampPOktI/lOQkICOp0OIyMjjI2NSUxMxNLSMktw9/JnJyQkIEmSvHxVkiRSUlJITU2VZ9tnfH56ejpqtRpzc3Pi4+PRarXycFJKSgoJCQnyMEzG58THx2NtbY1Go0GhUJCamiq3LWP4KuP80tPTUSgUGBkZyZ8bHR2d5XdboVBga2sLQGxsrHw94MXQV1JSEqmpqUiShFqtlucZ6PV6YmNjsbCwkIMLvV5PXFwcWq0WExMTdDpdpm0MBgOJiYmkpqaiVCoxMzOTP/vfpop+VwwGA8nJyaSkpCBJEsbGxpiZmWUK9JKTk4mPj8fOzg6lUin/HqekpMhzSUxMTNBqtbmalJzRAzFv3ryP5joI/94/76Gvyh8kehDe0NOnT+nTpw/379+ncuXKKJVKFixYwNOnT+WuRIPBQFRUlJzIJi0tjStXrjBr1iyKFClCjRo1OH36NP3792fnzp3yH6Po6OgcJ0WlpaVRunTpVy5nKly4MLdv3842QIiNjSU2NjZTF7lWq8Xd3Z1Tp05le1xJknj8+DGenp6ZnjaKFStGYmJilnXr/yUKhUK+Cebk5T+YCoVCDgwyWFtbo9frCQgIyHGCmpOTE82aNcPIyCjHZWcKhQKNRpNlMppWqyU1NZW9e/dy//79bPctVqwYderUyfJ5JiYmmdbCq9XqLOPSGTfofx7vnxMjs/sceDHv4OV5BBqNJsdx7/z582f7ek7tUKlUWFhYZPsUrFarsySmUqlUma7dy9solcosn/exZcDMCFxeFWy+/LPIze+xIOREBAhv6MSJEwQGBrJgwQLq16+PQqFg69atDBw48JX7GQwGOnfuLI/T/vHHH0ybNo379+/j6+v72uNqNBrWr1+PTqfLcZt/znB/WcZs9X/+cVcqlWg0GtLT03PsmUhLS0Oj0WR62jA2NsZgMLyyLcL/0el07N69m/Hjx2f7fpUqVWjYsOFbp75NTk5m+fLlbNq0Kdv3O3bsmCVAEARBeB0RILyh4OBgtFotjRs3lm+2lSpVeu1yIVdXV6pVqyY/dZYtWxalUpnrRDcKhQJPT08MBkOO27wq6YlWq8XY2JioqCj5NZ1OR1xcHBYWFtl2NyoUCqysrEhISCAtLS1Td7BGoxGZ2HLJyMiIIUOG8MMPP2T7fkb3+NuytLRk+fLlOU6C+9iehAVB+DSIAOENGRkZyWO1GQFCxrjsq2g0mkxPiBk35NxOAUlLS6NChQpvPcSQP39+8ufPz8mTJ+WllwkJCVy9epVixYpl+/SaMbv7+PHjREVFyd3Dp06dwsrKChcXl1y1/XOXUzf8u6JUKrMMbbyJyMhItm/fTp06dXI16dRgMHDp0iWCgoJo2LDhezsvg8HA7du35ZoPhQsXpmLFirmuuRIcHMz+/ftRqVS0a9cOtVpNcnIyBw4cyHY4xtXVlfr162NhYSGX9z537hzJycm4uLhQs2ZNsTRQ+KyIAOENFStWDIVCwfTp0+nbty8qlYqVK1e+95K7Go2GzZs3vzJxS8Zkuey4ubnh4+PDli1bqFevHuXLl+fPP//kzJkzTJkyRe59yEi3rFKpUCqV1K5dmxUrVrBixQr69+/PgwcPWLZsGZ6ennL2O+HT9uzZM6ZMmYKbm1uuA4Rjx45x+PDh95bTX5Ikrl27RteuXbl9+zZpaWnY29vTo0cP+vfv/8rfdXhRf2Lt2rVMmjQJR0dHvv32W9RqNYmJiaxcuZK//voryzm1bduW2rVrI0kS+/fvZ8yYMdy4cYO0tDRsbGxo1aoVo0ePJl++fP/pRGGCkEEECG+oZs2acj31JUuWYGxsjIeHB66uru81r7lKpaJhw4Zvvb+JiQkDBw7k2rVrtG7dGoPBgJGREU2aNJEr5gG0bduW8PBweblZxYoV6dixI8uWLWP+/PkolUrs7e2ZPXu2eJr6jyhSpAgXLlzIdVZGlUpFnz596Nmz53srv52cnMzIkSNJTU3lzz//pFixYsyePZs5c+ZQo0YNqlSpkuO+GUmejhw5gr+/f6Zlj7a2tvzxxx+Z5s+EhoZSr149uYcgJCSEuXPnkpaWxp49e3Bzc2Pnzp2MGzcOHx8funTp8p/M/yEILxMBwhsyNjZm7Nix+Pn5cefOHWxtbfHw8GDIkCE4OzsDL5LOdO7cWV4x4OXlRfv27bGzs5M/x97enq5du1KwYEHgxR/pdu3aZZmt/a5kDBf88ccf7Nq1i6ioKDw9PWnSpAn29vbydg0bNsyUPc/a2poRI0ZQoUIFrl+/jrm5OXXq1KFMmTLiKeoTIEkSsbGxHDhwgJCQEJycnChVqhQBAQFUrlwZLy8vYmJi2LJlC/Xr18fV1ZULFy7w8OFDypQpw6lTp4iKisLDw4OGDRvKpZuvXLlCUFAQjRs3fi8z5G/cuMHt27fp0aOHHBj37t2bv//+m927d78yQIiPj2fmzJl8+eWX3Lt3L1OAkLF89J9WrlyJra0ttWrVQqFQEBERwa1bt+QaBgqFgo4dO7Jjxw6OHj1Kq1atckxtLAj/JSJAeAsHDx7Ezc2Nhg0bEhkZyeTJk0lNTZWzrtnY2DBo0CB5+5IlS2ap7ufs7Jwpb4OPjw8+Pj7vtd0ZBYWKFCmS4zadOnXK8pq1tTWtW7cW5bQ/Qenp6QwZMoQtW7bIa5/Lli3LrVu3mDVrFl5eXoSHhzNt2jQ8PT0pWLAgJ06cYM2aNdjY2HDx4kUSExPJly8fw4YNo3fv3hgMBo4fP87hw4epUaNGtgFCWFgYHTp0eOUcGz8/vxwzHz5+/JikpKRMSYCcnJzw8vLi6tWrSJKUbYBqMBhYv369PGQwadKkV16fmJgYdu7cib+/v1xmOSNNc3JyMgaDAaVSicFgICUlhfv375OUlCQCBOGzIAKEt5CRWTAj+YytrS39+vXLMUmRIOSVv/76i7/++ovu3bvTpUsX4uLimDRpEk+fPn3lfoGBgXTr1o0lS5ZgMBgYPHgw69ev5+uvv35tzgL4v+RMr1p1k1GLITsZCaH+eSytVouFhQUPHjzI8ZgXLlxg27ZtTJ069bWJfTIyhd67d48xY8bIwwaOjo6UK1eOKVOmoNFocHV1Zd++fVy5cgV7e3uxvFf4bIgA4S106dKFAgUK8OjRI+DFksUqVaq8t/FYQXhbAQEB2Nvb8/PPP8uz/3v27Jlt6ep/8vb25vvvv5cLh7Vv354xY8YQERGRqwDBycnplYWJXkelUqFQKDLVmsjIvZFT1sikpCTWrFlD7dq1c1WlMDk5maNHj+Lk5JSpyJS9vT39+vUjISGBQYMGodfr8ff3p1GjRly7dk2URRc+GyJAeAu2trZ8++237+WzJUnCYDCg1+tRq9Uf5R8jSZKQJAm9Xi8/IWa0NaMHJbttlEqlXG5Y+DASExMxNzfPlCHQ0tLytfMG7OzsMq1OsLS0lNM950ZYWBht2rTJsQcho/7I7Nmzs30/X758GBkZ8ejRI3m1TFxcHBERERQoUCDbfUJDQ/n9999xcXFh+/btADx8+JCoqCjq1q3LhAkTqF69upxqOjQ0lIMHD9K5c+dME4wVCgWVKlVi6dKlPHnyBEmSsLGxYdiwYbi6uooHAeGz8fHdfQQ2b95MgwYNePjwYV43JVt6vZ6dO3fSuHFjnJyc8Pb2ZtiwYTx9+lQec9bpdOzdu5cWLVrg7u5O4cKF6dixIxcvXsx17gfh3/P09OTp06cEBASQmppKQkICAQEBhIaGvnK/f+b3zwslSpQgX758rF+/nsjISNLS0ggICODSpUvUrl0727apVCpKliyZ6/kBJ06cICUlhZo1a2YJxJ8/f45Go6Fs2bKULFmSW7duceTIEerUqSNW7wifDdGD8BHS6/WkpaV9tDfSa9eu8f333+Ps7EzXrl2JiYlh3bp1JCQkMH/+fBQKBffv36dnz57Y29vTrl07UlNT2bNnD/369WPr1q2ZVk4I788XX3zBb7/9Ru/evalWrRrJyclcuHBBLgj1Jt7k99HR0ZGjR4++YWv/T8GCBWnVqhXTp08nNTUVFxcXDh48iIODQ6a00fPnz8fR0ZFWrVrh4eHB8ePHM33O4MGD2bFjBwcPHsyUUVKn07F69WoqV66Mu7t7loBj06ZNHDp0CE9PT2JjY9m3bx/VqlWjWbNmryyMJQj/JZ9tgJDxxy49PR29Xi8nB8qoRqdQKDAYDPL78KIbPaMrXZIk0tLS5G0zul4zMibqdDrS09Pl1zLGVHU6HTqdTt7GYDDIx83pD3bGsEN6ejoGg0Eu3JMxqSqjEqBer5fL12b8EXsfT4FbtmzB3Nyc6dOnU6FCBVJTU/Hw8OCXX36hX79+FC1alMuXLwMvqjA2btwYvV6Pt7c3U6dO5fbt2yJA+ECKFi3KvHnzmDBhAmvWrMHb25vmzZuzevVqedhBqVRmqu6n0WgwNjbO9LuTUQXwVdu8S0qlkh49eqDT6fj99985dOgQ1apVY9CgQRQoUEA+7qpVq/Dx8aFVq1bZfo5Go8l2SCAwMJAnT57QsWPHbDMzVqlShZMnT7JmzRpMTU356quv6N+/P+7u7u/0PAXhY/bZBggAly5dYuLEiZw+fRqdTkfp0qUZNGgQdevWBWDr1q0sWrSIa9euYTAYqFq1KgMHDqRKlSrExsbSr18/rKysMDExYcOGDSgUCn744Qe+/vprfv31V1atWoUkSXTv3p0hQ4ag1WrZsmULM2bMoEWLFmzYsIEHDx5QokQJxowZQ506dbL8wZUkiefPn7Nq1SqWL1/OkydPcHBwoFu3bnTp0gUbGxsOHTrErFmzuHDhAmq1Gn9/f0aPHo2fn1+25x0SEsLNmzdzvC4ZdR8yln29LDQ0FBsbG4oWLSpXIPT29iY9PZ0zZ85QtGhRHB0d5bTU/wxwTE1NM+WDEN4vhUKBl5cXmzZtwtzcnISEBH777TcSEhLk5a5Fixbl4sWLchDbq1cvevbsmSkZUI0aNTh16pSckrtv37706dPnvSYMsra2ZtiwYQwePFg+l4w2Zjhz5swrg5SxY8cyevToLKnEfXx8uH79epbPy1CqVClWr14tP0golcpMc2wE4XPwWQcIEydOJDAwkHbt2mFmZsbdu3c5ffo0NWvWRKfT8ddff+Hh4UH16tUxGAycO3eOCRMmsHz5ckxNTdHr9ezduxcfHx86d+7Mw4cPmTVrFnv37sXa2pquXbty584dfvnlF6pUqUK9evWQJIk7d+6wfv16atWqRf369dm/fz8//vgja9eupXjx4pnamJSUxIIFC1i1ahUNGzbE2dmZ8PBwlixZgpGREZ06dWL06NEYDAa6d++OUqkkMDCQM2fO5Bgg7Nmzh+7du+fYZaxWqxk9ejQjRozI9v1ixYqxf/9+9uzZQ/PmzYmOjmb37t3ExsbKY9tly5bliy++YPHixRw9epSUlBRu375N165dX5mHQXj3ZsyYQWRkJA4ODjx79oyjR4/yxRdfyOWOM3qkMmR308+4Qb5qm3cto3fuVUMhr+vuV6lUuTqf7I79ttU1BeG/4rP+F2AwGKhXrx5Dhw7FxMSEpKQk9Hq93H3fqVMnVq9ezYEDB0hMTOT58+ekpqby7NkzuavR0dGRJUuWkD9/fp49e8YXX3yBUqlk8uTJuLu7ExsbS506dQgICKBevXrAiz9aAwYMoFWrViiVSlq1asWXX37Jvn37sgQIISEhbNmyhb59+9K2bVtMTU1JTk7Gzs6Offv20axZM1QqFS1atKBbt24YGRmRkJDwyj9+zZs3z7Ss62UKhQInJ6cc32/dujWrVq1iyJAhzJw5E51Oh42NDUZGRvJwjEqlwsnJiT///JOzZ88iSRJ2dnaiwFMeaNq0KTNmzOD48eOYmprSvn17evfuLao8CoLwSp91gDBq1ChmzJjB0KFD5Zn2lSpVQqFQcOfOHX7++WeSk5NxdnbG0tISc3Nzrl+/nmmpV6VKlXBwcECpVGJtbY2rqytFihShYMGCaDQa8uXLh4ODAxEREfI+BQsWxM/PD61Wi0KhoHTp0jg5ORESEpKljfHx8Tx69IihQ4cyfPhwefmgwWDA19cXgJEjR7JixQqCgoJwdXXFy8uLqlWr5njeycnJhIeH5/i+QqF4ZcW8ggULsm3bNlauXElgYCBFihTB29ubMWPG4ODgAMD27dtZuHAho0ePpmXLlqSkpLBy5UoGDx6Ms7Mz1apVy/kHI7wzCoWCBg0ayMFpxmt5vUpBEISP32cbICgUCvz8/FiyZAmPHj3i4cOH/PXXX+zevZtFixZx+fJlnj17xoYNG+Sb+cGDB7PkP3i5izOjazLjj2/GH+J/dufHxsYSFxcnf5+QkEBcXFy2a9PVajUWFhb873//k2s7ZLCzs8POzg5PT08qVKjAgwcPePDgAStXriQgIICJEydme+779u37V0MMCoWCQoUKMX78eOBF5bypU6eSnJxMxYoVATh+/Dienp40btxY7sr+9ttvWbp0KRcvXhQBwgeUMXb/oURGRvLLL7/QtGnTLCnGPxbx8fGcPXuWs2fPEhkZSc+ePSlcuHCmbQwGAxcuXODgwYPEx8fj6+tLgwYNMi2jvH//PkePHuXhw4dysF+7dm2xFFL4T/hsAwRJkvjxxx+pUaMGPj4+eHt7s2fPHnbs2EFaWhrGxsYYDAYePHhAwYIFuXfvHmPHjiU1NfVfHzskJITZs2djYmKCqakpS5cuJSkpifLly2fZ1sHBAX9/f+7du0erVq0oVqwYSUlJ/P3336SlpZGWlsaAAQNo3Lgx3t7eaDQaJEliz549OQYIX3/9Nf7+/jm2T6FQvHKVQUpKCtOmTaNx48bY2dmxdetWli1bRv369eUgxtXVlU2bNvHHH3/wzTffkJKSwtKlS0lLS8PR0fENr5jwKYmLi2PlypUUL178ow0Qxo4dy+bNm4mJiSEpKYkvvvgiU4AgSRInT57ku+++IyYmBnjxMNC2bVvGjBmDhYUF0dHRdOnShTt37sjLko2MjGjZsiVTpkzBzMwsj85OEN6NzzZAgBcFYXr16kVkZKRcxrhjx45otVoqVapE7dq16dOnDykpKTg4OFCtWrXX5rDPDU9PT1JSUmjYsCGxsbHY2trSqVOnbMs5Ozg4MHToUMaNG0ebNm2Ii4tDo9HIKxkALl68yPr164mOjkaj0eDk5MQPP/yQ4/FtbW3/VdVISZI4fvw4s2fPJikpiXz58lGrVi0mTpwoT+zq0KEDJ0+eZM6cOYwaNQqlUkm+fPn48ssvadKkyVsfWxDeheLFi+Pj44NOp5N7wv4pLi6OsWPH4uDgwLp16yhcuDBz585l4cKFNG7cmDp16qBWq2nVqhUVK1akcOHCxMTEMG3aNJYvX0737t3fe/E1QXjfPusAYcGCBVy8eJHQ0FCUSiVubm6UK1cOIyMjnJ2dmTRpEo0bNyYhIQFXV1dKlCjBkSNHcHd3x8zMjO+++w5LS0t5OMHIyIhu3bphY2OTaQZ0nz59MnU5WltbM3z4cEJDQ4mMjMTJyYlatWphZGSEJEmULVuWgQMHkj9/fhQKBf7+/ixZsoSzZ88SERGBVqvFzc2NUqVKYWVlxe+//87Vq1cJDw/H2NiYQoUKUa5cufd23YyNjVm8eDEXL14kLi4OFxcXypcvj52dnXwtnJycWLp0KefPnycsLAylUomLiwtVqlTB3Nz8vbXtcyJJEmfOnOHQoUPExcXh4OBAgwYNKF68OCqViri4OE6cOMH58+eJi4vD2dmZ5s2bU6hQISRJ4vTp01y4cIEaNWqwf/9+IiIiKF++PF999RXBwcFs3bqVp0+fUr58eZo0aYKZmRlhYWEsW7aM2rVrExoaSkBAADY2NjRt2pTixYtnOzlWkiTCw8PZu3cv169fx8jIiAoVKtCkSRM0Gg16vZ79+/fz999/k5SUhLu7Ow0aNMDT0/O9pRrv3LkzAPv37892LsaNGzcICgpi0KBBVKhQAXhRj+LgwYPs27ePOnXqYGlpSZ8+feR9rKysaNq0KZs3b5ZLpgvCp+yzDRAUCgWOjo40btw4x20KFiyYZc5B+/bt5f9v0KBBpvfUanW2n9esWTMgcya6fPnyZSpl+892ZVeSuWDBghQsWDDbdrq7u3/QBC5KpRIvLy+5vHV2FAoFLi4uYtXCe7R//34GDBhARESEPM/gxIkTzJw5Ew8PD7Zs2cKYMWNISUmRE3Jt3bqVlStXUqhQIW7cuMHixYtZs2YNT548ITU1ld9//53Hjx9z5swZ/v77b1JSUli1ahVKpZIWLVoQExPD6tWrOXnyJLdu3SIpKQmDwcCGDRtYt25dlnkykiQREhJCz549uXjxojzBd9WqVdy5c4dBgwaxbt06hgwZIiceU6vVXLx4kSlTpmRbGComJoYqVarIK2ayU6JECTZv3vzW1zYoKIjk5GQ5OIAXvXmenp5cv35dLjctSRLJyckkJCTw9OlT1q1bh5ubW5b5DILwKXqj8Hzy5MmUL18eCwsL7O3tad68Obdv3860TUpKCn369CFfvnyYm5vTokWLLDPmg4KCaNKkCaamptjb2/PTTz+JEqqC8IYuX76MXq/nyJEjPHr0iBMnTtChQwfMzMxQKBR4eHjQs2dPJk+ezIwZM+jevTv3799nx44d8mcEBwdTr149Ll68yIULFyhdujRTp06laNGiBAQEcPbsWSpXrszy5cvlwks6nY6EhAT++OMP7t27x2+//UZ6ejozZ87Mtp2LFy/m8ePHLFiwgLt373Lt2jX69u3L8uXLuXHjBidPnsTd3Z0zZ87w6NEj9uzZw5dffpmpgNI/qVQqfHx88PX1zfHr396gk5OT0ev1mSYkGhsbY2pqSmxsrPyaXq9n0aJFODg4UKZMGU6fPs2wYcPkibmC8Cl7ox6EY8eO0adPH8qXL49Op2PYsGHUr1+fwMBAeULOgAED2LVrFxs3bsTKyoq+ffvy9ddfc+rUKeDFP6gmTZrg6OjI6dOnCQ0NpUOHDmg0GiZNmvTuz/AjU65cOYYMGSIvBxSEt1W1alV27drFtm3bKFWqFCVLluTrr79GoVCQnp5OWFgYmzZt4tatWyQmJgIvbq7Pnz+XP6No0aL873//k38fa9asyZMnT+jQoQMuLi5IkkTlypVZu3at3AOm0Who3bo1VapUQaFQ0LhxY44dO8aBAweybeeBAwdIS0tj9+7d7Nu3D0mSiI+PJzY2ljt37tC4cWOuXbvG1q1bM93kc2JhYcH69evf1WXMVsZKpJSUFPk1vV5Penp6pvwRSqWSevXqsWTJEqKiojh8+DCzZ8/G19c3x0ykgvCpeKMAYe/evZm+X7lyJfb29ly4cIHq1asTGxvLb7/9xtq1a6lduzYAK1aswNvbm7///puKFSuyf/9+AgMD5cIrfn5+jB8/nsGDBzNmzJgcnxryWkZXYlJSEjY2Nm+1bCxjeWChQoXeQwtf0Ov1xMTEkJqailqtxtraWp7bkJqaSnx8PDqdDo1Gg6WlZabrnVFfImMblUqFubm5nK/hTaSmphIXF4dOp8PIyAhLS0t5SajBYCA6OprU1FSUSiU2NjYiac9b8Pf35/fff+fMmTMEBASwePFivL29GTx4MAqFgjlz5lCgQAGmT58uD/V8/fXXmUowW1paZirrbGpqilarlefMKBQKjIyM5LoiGa/9M0+GSqXC1NQ0xxU+iYmJPHnyhN27d2d63crKCoCGDRvi5eXF2bNnOXToEDNnzqR27dr07t07U5nqDNHR0fj7+7+y17FkyZJyyee3YW9vj7GxMXfu3JHLTUdHRxMWFoaHh4f870GpVFKqVCl8fX3R6XTUrFmTXr16sWvXLvr27fvWxxeEj8G/mgGU0dWWMSP+woULpKeny7UM4EVaXldXV86cOQO8yJ3u4+OT6Qm6QYMGxMXFcePGjWyPk3Gz+efXhyZJEuvXr6dly5bZJjT6WISEhPDNN9/g4uJCtWrVuHDhgjwOPG7cOMqVK4eHhweVKlVi4cKFmSZTPX36lMmTJ+Pv70/hwoUpU6YMw4YN4/79+29UyS8mJoYZM2ZQvnx5PD09qVWrFn/88Yf8FBsbG8v//vc/XFxc8PPzIyAg4J1fh8/B3bt3SUpKomnTpowaNYqxY8eyYcMGjh8/jk6nIzo6mpo1a1KxYkUcHR25fft2lt/dnAK/VwWE6enp7N69m8ePH5OamsrVq1c5depUliygGfz9/alZsyZ79+7l/v37PHz4kEuXLrF69Wrq16/P1atXMTIyolWrVowfP57u3buzePFi7t+/n+3nqdVqKlWqROXKlXP8KlWqVC6vYvZ8fHzInz+/PD8jOTmZw4cPc+XKFTnpVEhICFevXiU2NhadTkdSUhLBwcHExcVlCsIE4VP11pMUDQYD/fv3p0qVKvJa57CwMIyMjLIkCXFwcCAsLEze5uXu9YzvM7Z52eTJkxk7duzbNvWz1L59e3nGelpaGitWrODXX3+ldevWeHt7c+XKFaZOnYqdnR3t2rUjPT2ddevWMXv2bNq2bYuPjw8PHz5k2bJlaDQaRo8enat13QaDgY0bNzJnzhyaNm1K2bJlOXjwIKNHj6ZAgQLUrVsXU1NTBg0aRI0aNVi0aNEHuBr/TWvXrmXfvn24ublhbGxMcHCw/HRvamqKr68vCxYs4MyZM6SnpxMcHPxO1uZnZBrt1KkTTk5OPHjwgIcPH7JixYpst+/WrRvdunWjc+fOFC5cGKVSSXR0NElJSfz666/MmjWL4OBgnJ2dUavV3L59GxMTk2yrMMKLIYZVq1b9q3PYvXs3W7ZsISgoiIiICKZOncrKlStp2bIljRs3xtHRkfbt2zNy5Eg6deqEnZ0d58+fp0iRIlSvXh2A8+fPM23aNOzt7TEzMyMpKYmrV6+iVqupX7/+v2qfIHwM3jpA6NOnD9evX+fkyZPvsj3ZGjp0KAMHDpS/j4uLy3FGf3YkSSI2NpbU1FTs7Ozk4YGMrm5JkrC1tcVgMJCQkEBiYiIGg0EOdrLr/tbpdERFRaHVarGwsJBnNGd8no2NjVwWOjExMVN3e8Znvs9Ut5UqVeKrr75CoVAQGRnJjh07aNmyJRMmTMDS0pLk5GSeP3/Oli1baNCgAcbGxly/fp0KFSowceJErK2t5ZTMN27cIC4uLlc3l/DwcP766y8qVKjAvHnzMDU1pUmTJrRq1Ypt27ZRtWpVTExMqFevHq6urvzyyy/v7Rr813Xo0AG9Xs+hQ4dISEigcOHCLF68mOrVq8tB3axZszhz5gzu7u6MHTuWZcuWyQG8ubk59vb2mZbkWlhY4OjomGl5oaWlJU5OTpmW83bp0oVHjx6xb98+HBwcWLRokdxzqFarcXZ2locuKlSowO+//87y5cs5duwYAEWKFKFHjx64ubnx888/88svvxAQEEBaWhp+fn507979va4EePz4MUeOHEGn02Fra0tgYCCBgYHy8mClUkmXLl3QarWsWrWKq1evUr9+ffr27Stfi+rVq8u1Um7evImZmRnNmjWjY8eOoiCZ8J/wVgFC37592blzJ8ePH6dAgQLy646OjqSlpRETE5OpFyE8PFzOnufo6MjZs2czfV7GKoecMuwZGxv/qzFqvV7PqlWrWL16NTt37sTBwQGFQkFsbCzdunXDw8ODCRMmEBAQwIwZMwgICCA+Ph43Nzd69OhBt27dstwcnz17RteuXalTpw4DBgxAoVCQlpbGqFGjSE1NZdasWZibm3Pnzh1mz57N9u3biYiIoECBAnTp0oXu3btnu4TLYDCwbt060tLScjwfU1NTudBTbhgMBuLj43F2dsbMzAyVSoWZmRnOzs6cPHmSsLAwihQpgqurKzdv3uT58+eYm5sTHR1NREQEBQsWzPWTZ1hYGA8fPqR///7ybHpHR0dq167N8ePHSUlJyTTmLbw9Ly+vV07sLVGiBL/99lum1/65DLdt27a0bds20/sdO3akY8eOmV7r3LmznDcgg6urK99//322KxcKFizIkSNH5O9VKhVlypShTJky2bbTz8/vg/ck9erVi169er1yG1NTU7n3Izs2Njb07t2b3r17v48mCkKee6MAQZIkvv/+e7Zu3crRo0ezzNItW7YsGo2GQ4cO0aJFCwBu375NUFAQlSpVAl482U6cOJFnz57J6XwPHDiApaVljmOY/5ZaraZixYr88ssvXLhwgcaNGyNJEsHBwVy/fp0uXbqgVqu5desW+fLlY/To0ZiYmHD37l0WLVqEt7d3lpwHuREREcGUKVM4ffo0vXr1wtnZmVu3brFs2TLs7e357rvvspSUzbjG0dHROX6ui4sLX331Va4ndBoZGeHl5cW2bduoU6cOvr6+XLx4kQMHDpCenk5iYiLGxsZ8++23PHjwgB49epA/f36ioqKwsLCga9eu2U4Wy05SUpKcWCpDRnbH58+fv3LtuiAIgvDxeKMAoU+fPqxdu5a//voLCwsLec6AlZUVJiYmWFlZ0aVLFwYOHIitrS2WlpZ8//33VKpUSS7iU79+fYoXL0779u2ZNm0aYWFhjBgxgj59+rzXmewlS5akfPnyrFixgoYNG6JUKtmwYQOFCxemdOnSqFQqqlSpwrVr11i4cKG8EiApKYnr16+/VYBw48YNDh48yPjx4/H390etVlOuXDni4uLYvXs3bdq0yXLjVSqV3Lx585WTApVKZZYiUa9iYWFBt27d+Omnn2jevDkqlQojIyN8fHy4fv068CIwSU9PJz4+nvv37xMUFER6ero8hyEj0c7rGAyGbLdVKpUYDIY3muwofHw0Gg2urq6izoAgfAbeKEBYvHgx8GKt9D+tWLGCTp06ATB79mw561pqaioNGjTI1H2oUqnYuXMnvXr1olKlSpiZmdGxY0fGjRv3787kNczMzPjiiy8YOnQoN2/exNnZmV27dtGuXTucnJyIjo5mwoQJXLx4kXLlysk37q1bt+bY3f9ylUYg0xNyTEwMERERcvfsP7etWLFitk/TkiSxe/fuVxaFMjc359tvv831UkulUknjxo1xcHBg165dxMfHU6FCBW7cuMGTJ08wNzcnNjaWqVOnkpiYyJ49eyhUqBChoaGMGDGCsWPHsnz58kzDSTkxMTHBzMwsU80KnU5HREQEtra2H7SqoPDuFSpUiD179uR1MwRB+ADeeIjhdbRaLQsXLmThwoU5buPm5pZlTfSHUKdOHSwsLNixYweFChUiOTmZxo0by/MRLl26xI8//sj//vc/TE1NiYiIYOfOndl+llqtxtjYmKioKODFtdHpdDx48EDuXjcxMcHS0pKff/4ZNze3TPvb2tpmW945o8rk64YYWrdu/UY3W6VSSfny5eWKkdHR0UybNg0vLy9cXFyIj4/n1q1bNGvWjKJFi6JWq3F3d6devXqMHz+e6OjoXAUI+fPnx9nZmUOHDtG+fXt5kubff/9NsWLFPto8F5+DsLAwJk6cyHfffZfjfIC8lrEKZuPGjahUKjp16kSjRo0ybZOcnMyUKVO4ceMGM2bMwM3NDYVCgV6v586dOxw5coTTp0/j7e1N7969M2VDzI2Mv3MBAQFs3LiRiIgIvLy8aN++PW5ubkiSRGhoKPv27eP8+fPExsbi6elJ27ZtKVq0KAqFAp1Ox5YtW/jzzz8xMjKiTZs2csp1QfhUfFa1GKytrfn666/ZsWMHarUaf39/OXd8RuKgkydP4uPjQ0xMDMuWLcux6IqFhQXu7u6sW7eO8uXLY29vz9atWwkICJADBG9vbypUqMD27dvp27cvnp6eREdHc/LkSVxcXKhatWqWz1Uqldy9e/eV66jfdIgBXmTBPH78OLVq1SIxMZFFixYRGRnJ6NGjsbGxwWAw4OHhwfLly3F3d6dEiRI8evSIGTNm4OrqKifGiY6O5vnz5/LSupe5uLhQq1Yt5s+fz4wZM6hevTobN27k0qVLLFiwINugSPgwEhIS2Lt3b5Yb7sdEkiQCAwPZv38/BQsWlAPwf76/a9cuFi9eTGxsLCNHjpTfi4iI4MsvvyQ9PZ2YmBgiIyOzTK7MjYxlwZMmTZIfBE6fPs39+/dZsWIFycnJjB49mgMHDsj/Bg4dOsS6dev4/fffqVSpEpIk8fz5cwIDAwkJCaFs2bL/7sIIQh54P6XSPlIKhYIWLVpw7949zp49S/v27eWVAHZ2dnTu3JkzZ85Qq1Ytunbtir29fY7pUk1MTGjdurVc0Klx48bcunVLziAJL2ZzDx8+HBsbG/r06UPFihVp2bIl27dvx9TUNNtVCAqFAltbW+zs7HL8srW1feMlkkZGRuzbt49GjRrRsmVLgoODGTFiBE2aNJGP2bt3b4oUKcIPP/yAv78/3333HdbW1vzwww9yJr4///yTatWq8fjx42yPo1ar6dq1K1988QXTpk2jatWq/Pnnn/Tp04d69eq9t+p8wn9Lw4YNOXbsGP/73/8yvf7gwQOWLFlC586ds8zfMTU1ZeDAgaxZs4bWrVu/1XElSeL69evMnDmTChUqsGPHDi5dusSuXbto2bIl8OJ3vFmzZqxYsYITJ05w7tw5Fi9eTEJCAqtXr0av16PRaOjTpw83btzA2dn57S6CIOSxz6oHAcDT05MNGzaQmJhIlSpV5Ne1Wi0dOnSgfPnyPH/+XF5Vcf36dRwdHVEoFNStW5eiRYvKyxPLly/P0qVLefToERqNhmLFihEVFYXBYMDExASFQkHFihVZtGgRd+/eJSEhAa1Wi6OjIx4eHu91PF6SJLmrVKFQULZsWX777TeCgoIAcHZ2plixYvIqCqVSSY0aNfDw8ODBgwckJSVhbGyMu7s7/4+9u46u4mobPvw7EnchjoQQJGjxUBwKBYqX4hTaByguxYpDcSnu7u4UC4HgDsHdSYC4JydH5vuDL/OSJsFDCOxrraxFRvecDGfu2XLvvHnzolarkSSJqKgo7O3tMxySCq+mep40aRLt2rUjPj4ee3t7ChcuLNdCpJRNZJt7dzdv3mTatGl069aNYsWKyQHiyZMnWb9+Pb1795aHF/r5+fH48WNy5MjBTz/9RM2aNdPUOEmSxObNm7lz506qavgzZ86wdu1a+vfvLweFd+/eZf369Vy7dg1LS0vq1q1LkyZNMgz23tYZVaFQyD/vKiXV+eLFiyldujRVq1Zl8eLFqbaxsrLijz/+kLOefgiDwUBAQABarZYBAwZQsGBBFAoF+fLlk2cvNTY2pn79+qn2q1+/PpMnT5ZzqIi+NsLX4JsLEExMTKhWrVq66ywtLeU2+hQpWdPg1djv14fvqVQqChUqJOdqB9Jtp3dzc/vsbxH9+vVj6dKlzJs3jzJlymBiYkLBggXTTMf7OpVKhaenZ4a1JrGxsdy9e5f//e9/WFpavvH8jo6OaTqzpoiOjuZ///sfBw4cEL3h35GHhwdnz57Fy8uLwoULo1ar0ev1zJ8/n6SkJJycnLh//778t1Gr1Vy9epUtW7Ywa9YsmjVrluaYd+7c4cyZM/z+++/yshcvXhAQECDnCDh9+jTdunUjKioKCwsL9Ho9+/fv59GjR/Tq1Svdpq6ePXuyZs2aDIMEc3NzVq9enaq27W0kSeLIkSPcunWL6dOnc+/evXfe930YDAbOnj1LwYIFOXz4MO3btychIYGqVasyePBgORPkf8t2+/ZtIiIiqF69epqhy4KQXYk7+StjZWXFzz//TPHixcmRI0e6yZg+lCRJVKlShWrVqn1UFkgTExNq165N7ty5sbKykt9UhYyZmZnRtGlTDh48SLt27XB1deXu3bucP3+eIUOGYGlpiZ2dHZ07d5ZnIgwJCWHnzp2sXLky3QDhbbRaLXPmzMHe3p45c+ZQvHhx4uLiWLhwIevXr+enn35KN+CsVKnSG4csGxsbv/ffPDIykmXLlvHLL7/g4eGRaQFCStbV69evExERQaVKldBoNBw6dIiQkBAWLlyY6iVAkiTu37/PsGHDqFatGj///HOmZkgVhM9JBAhfGTs7O/74449MObaNjQ1t27b96OOYmZllmJ1OSJ9KpaJ69eqsXr2aO3fu4OLiwv79+1EoFPz4448APHnyhC1btvDw4UO5qttgMMizJr4vvV7P8ePHUavVqYYhx8TEEBoaSlBQULoBws8//ywnSsvI+/RFkSSJlStXYmlpSe3atZEkSR4irNfrMRgMKJXKT/ZgNjU1lbOi1qxZE51Ox+bNm/nrr7+4ePGiHCBIkkRwcDD9+/fH3t6eIUOGiBox4asieowJQjagUCgoWLAgpUqVYvXq1QQHB+Pn50ejRo3k2VRnzZqFsbExW7duJTg4mLCwMDp16pThMY2MjNDpdKn6gkRFRaVqGtDpdCQmJhIWFib/JCcnU7hw4QxTZnfv3h07O7sMf9zc3FKlYn6bxMREVq1axerVq8mdOzd2dnY0bNiQ8PBwKlasyG+//fbJEnAplUry58+Pu7s7Pj4+mJqaYmlpSbVq1UhISCAqKgp4FZjcvHmT9u3b4+zszNixY0VnROGrI2oQBCGbsLe3p3r16kyePBl/f3/u3bvHyJEj5fWxsbG4urpSqFAhzMzMOHXqFGfOnMnwbT2lqv7atWvY29vz6NEjtm7dKr+dq1QqfH190ev1DBs2jIIFC8o5AB4/fizP4vpfNWvWTDOj6+uMjY1T9eV5G7VaTfv27Xn+/Lm87PHjx2zfvp2WLVtSs2bNT1Z7oFKpqFSpEuvWrePw4cPkyJEDjUbDmjVrsLGxwcXFBYPBwLlz5xgyZAje3t6MGTMGR0fHT3J+QfiSiABBELIJhULBDz/8wLRp0xgzZgw+Pj7kyZNHfjjWrl2bv/76i/r162Nqakp8fDyJiYny6JH/KlGiBEqlkh49euDs7ExMTIw8Mym8qmHo2rUrPXv2pHXr1jg6OiJJEnFxcbi7uzN37tx0j920adO3NjG8D2NjY3r27Jlqmb+/PwcOHKBnz57yqI6YmBgGDx7MjRs3uHPnDomJifz888+4ubkxbtw4vL29CQ4Opl+/fvzyyy80aNAgTfCkUCgoV64cFStWZOTIkSxduhS9Xs+DBw+oW7cuZcqUISkpiRkzZnD06FHCwsJSDamsUKECAwcOfOe5SwThS/bVBAiPHz/m5MmTWV0MIZMEBQWlyUb5LcqVKxetWrVi//79tGzZUm5egP+b/nnPnj2YmJjQu3dvgoODuXLlCvCqbb1kyZLY2dmhUCjInz8/c+bMYdGiRURFRfHLL7+QO3duNm3aJDcfVKlShY0bN7Jq1SrOnTuHkZER5cqVo1WrVlnaudTGxoYyZcqkSbyl1WpJSkqSaygkSSI5OVkeWhsXF8eJEyfeOLdKjhw5mDlzJsuXL8fPzw+1Ws0vv/xCx44dsbS0JDExEScnJ3nEU1JSUqrzi/lGhK+FQsqGd3NMTAw2NjZER0djYWHBpk2b2LJlS1YXS8hESqWSJk2a0Lx58w8+hiRJdOzYkXLlyolOkl8ovV7P6NGj2bx5Mw0aNKBx48aULVv2kxxbkiSOHTtGnz59WL58OUWKFMm0EQd6vZ5jx44REBDAggUL6NevH3/++WemnCsz/fvvv2zcuJGZM2d+cGdX4cvz+jM0oxpG+ApqEJRKJfXr16dGjRpZXRQhEykUigw7xQlfF7VazYMHD5g9eza5cuX6ZAECwNWrV/nhhx/w9vbO1OGIer2eEydOMHHiRExNTUVuBCFbyvZ3rUKhwMLCQgwvEoSvgFKp5K+//mLAgAEAn/zB2rlzZ4BMz3RoZGTEwIED6devH/Dpr0MQPgdx1wqC8MVQKBSo1epMeaCmHPtzyMzrEITPReRBEARBEAQhDREgCIIgCIKQhggQBEEQBEFIQzSQCd8UvV7PlClTWL58eVYX5YuUMs+BXq/H2Nj4q514yGAwoNFoMDY2FlMzv0F0dDS+vr5f7X0gvJkIEIRvyoABAwgJCcnqYnyx4uPjWbx4MUqlkg4dOrx1Wu/sKiQkhMmTJ1OhQgXq1KmDsbFxVhfpi+Xi4pImIZXwbRABgvDNUCgUFCpUiEKFCmV1Ub5IycnJzJs3j8TERP755x8KFiz41b45SpKEqakps2fPpm7dulSqVOm9ZpgUhG+BCBAE4RuX0qywceNGNm/ezNy5c7/q4ABeBYu1a9cmJCSEsWPHkjt3bvLly/dVX7MgvC8RMguCwIEDB1ixYgWjRo2icOHC38SD0sjIiHbt2lG3bl169erF/fv3xTwKgvAaESAIwjfu2rVrTJ06lTZt2vD9999/M1XtCoUCIyMj/vjjDwoUKMDEiRMJCwvL6mIJwhfj2/gmEAQhDUmSuHv3rjxFdIsWLTAxMcnqYn12lpaW/Pnnn2g0GmbOnJlqdkZB+JaJAEEQvkGSJPH8+XPGjh1LgQIF6NKlyzcZHMCrmgR3d3cGDx7M+fPnWbp0qQgSBAERIAjCN0mr1TJ16lSUSiV//vnnNz/MT6FQULBgQUaPHs2GDRvYtWsXOp0uq4slCFlKBAiC8I1JSkpi2rRp3L59mxEjRuDq6vpNdEp8F6VKlaJfv37MmTOH06dPi06LwjdNBAiC8A3RaDQsX76cQ4cOMXXqVHLlyiWCg9colUpq165N27ZtGTlyJLdv387qIglClhEBgiB8IyRJ4ujRo2zdupU+ffrg7e0tgoN0GBsb07x5c6pVq8bw4cN5/PixqEkQvkkiQBCEb4DBYODy5cuMHj2aDh06ULNmzW9mOOOHsLS0pGfPntjb2zN58mTCwsJEkCB8c8Q3hCB85SRJ4saNGwwePJjmzZvTvHlz1GqRRPVtLC0tGTJkCKGhocyePRuNRpPVRRKEz0oECILwFZMkibCwMMaNG0fx4sVp3769qDl4RwqFAg8PD4YOHcrx48dZuXIlOp1O1CQI3wzxTSEIX7H4+HhGjhyJjY0Nffv2xcLCIquLlK0oFAqKFCnCpEmTWLVqFdu3b0ev12d1sQThsxABgiB8pWJiYpg6dSohISEMGTKEHDlyiE6JH0ChUFCiRAn69OnD4sWLxfBH4ZshAgRB+AolJyezYcMGTp8+zYgRI/Dw8MjqImVrKpWKH3/8kdq1azNmzBgxskH4JogAQRC+MgaDgYMHD7J69WoGDhyIj49PVhfpq2Bubk63bt0oW7YsAwcO5OnTpyJIEL5qIkAQhK+IJEmcOnWKCRMm0KdPHypVqiQ6JX5CxsbG9OvXD2trayZNmkR0dLQIEoSvlvjmEISvhCRJXL9+nb///ps2bdpQr149VCpVVhfrq2NlZcXAgQN5/vw58+fPFwGC8NUSAYIgfCWePn3K8OHDqVSpEm3atMHIyCiri/RVUigUeHl5MWbMGPz8/Fi+fLnIkSB8lUSAIAhfgYiICMaPH4+7uzsdO3bE3Nw8q4v0VVMoFBQqVIgRI0awevVq9u3bJ2Z/FL46IkAQhGxMkiTi4+OZPXu2PJzRyckpq4v1zfD19aVdu3bMnDmTW7duieYG4asiAgRByMa0Wi1Lly7lzJkzTJ06FWdn56wu0jdFrVbTqlUr6tevT9++fXn06JEIEoSvhggQBCGbkiSJHTt2sH37dv766y8xdXMWUCgUGBsb07lzZ0qVKsXw4cMJCgqS18fHx3Po0CERNAjZkggQBCEbkiSJgIAApk+fTv/+/SlfvrwYzpiFzMzM6NWrF8bGxsycOZP4+HhCQ0MZNmwYgwYNShU0CEJ2Ib5RBCGbMRgMnD9/nsmTJ/PHH39Qq1YtMTvjF8DZ2ZlBgwZx69YtJk6cSOfOnZk9ezZ37txh9+7dGAyGrC6iILwXESAIQjYTFBTExIkTqVixIk2bNhU1B1+IlOGP9erVY9q0aWzbtg2tVkt0dDQBAQFERkZmdREF4b2IbxZByCYkSSIqKoqRI0fi7OxMly5dxHDGL4hOp2P//v0sXLiQhISEVOtOnz7N7du3RV8EIVsRAYIgZAMpwcGYMWNITExkwoQJ2NraZnWxhNccPnyYX3/9lcDAwDTNCU+ePMHf31/kShCyFREgCEI2oNfrWbx4MQ8fPmTUqFFYWlqKEQtfGBsbG+rVq4etrW26f5uNGzcSHx+fBSUThA8jAgRB+IJIkoRer0+1TK/Xs2XLFvbs2UP//v3JmzevCA6+QGXKlGHatGmsXbuW8uXLY2xsLK+TJIlbt25x+vTpLCyhILwfESAIwhckLi6OJUuWEBoaiiRJcrv2rFmzGD16NOXKlRMTMH2hFAoFtra21KpVi/379zNx4kRKly4tjzDR6/UsWrQIrVabxSUVhHcjAgRB+IL4+/szePBgOeFOYGAgs2fP5n//+x/ff/+9qDnIBhQKBVZWVvTo0YOVK1fSs2dPnJyckCSJixcvcvPmzawuoiC8EzF4WhC+EBqNhjVr1hAREcGKFSu4desWSqWS2rVr88svv2Tb4MBgMBAXF5em6eRb4OLiQp8+fahYsSKTJ08mMDCQnTt3kjNnzqwumvAZmJqaYmpqmm3/74oAQRC+EOfOnePSpUtIkkRiYiLHjh0jf/78lCxZEiMjo2z7JfPy5Ut+/vlnoqKisLS0zOriZBmDwYCPjw/r1q1j69atYjrur9zLly9p2bIlo0aNStUfJTsRAYIgfAG0Wi3Hjx/n2bNn8jK9Xs/t27fp27cvo0aNomHDhtkyKZIkSeTIkYM+ffpQvHjxrC5OlpIkidjYWExNTbPtQ0N4NytWrMj2w1pFgCAIWUySJEJCQjh48CDJycmp1hkMBq5du0b//v1xcXHB19c3i0r5cYyMjPDw8MDb2zuriyIIn4WjoyMvXrzI6mJ8FBEgCMIX4PLlyxw7dixVpj2FQoGpqSlly5alU6dOlClTJgtLKAjCt0YECIKQxQwGA+vWrUsz/C1Pnjx0796dRo0akSdPnmzZvCAIQvYlvnEEIYs9e/aMvXv3IkkSCoUCJycnOnbsyK5du+jRowd58+YVwQEQHh7OH3/8wYwZM9Kd00CSJGJiYoiIiPjkMycGBgZSq1YtAgMDP+lxs6PNmzfzyy+/8PTp06wuyjuRJIn79+8zevRoKleuTJEiRWjYsCEHDhxI06T3uujoaAoXLkzevHlT/SxZsuSbmVND1CAIQhaSJIk1a9YQFxeHvb0933//PT169KB69eoolcpsO3IhM+j1el6+fImLi0u665OTk5k4cSK3b99m6dKlWFtbf7JzazQanj59SlJS0ic7ZnYVGxtLcHBwtumAl5yczLp169i+fTs5c+bEycmJhw8f0q5dO2bPnk2TJk3SDcANBgPBwcEULVo01bBUV1fXz1n8LCUCBOGDXL16lalTp2Z1Mb4KR44cQaPRYGFhgcFgYM2aNaxZsyariwWAj48PAwYMyOpivJdv5e3ua2QwGLh37x4BAQE0bNgQZ2fnjz6mWq2mWbNmNGrUiNy5c2NkZMSdO3do2rQpR48epW7duhnOimphYUGvXr1o2rTpR5cjOxIBgvBBgoKCuHPnDm3bthVTDn+E+/fv8+OPP1KmTJkvLoXylStX8PPz+2wBgsFg4Pjx4yxYsIArV64gSRI1atSga9eu6Y5+SE5O5ujRo/z999+0b9+eiIgIZs2ahU6nw8fHB4VCwZw5c3j+/DnHjx9n8uTJcu3DoUOHGDduHHPnzsXb25vw8HCWLVvGnj17ePbsGbly5aJDhw40a9YMExOTVOfVarVMnz6dO3fuUKNGDebNm0dISAg1atRg2LBhODs7I0kSDx8+ZNmyZfj5+REREYG3tze9e/ematWqb8yBEBkZyZAhQ3B0dMTBwYHVq1ej1Wpp3bo1v/32G/b29gBERESwYMECtmzZQmxsLN999x29e/eW0ztHRUWxcuVKVqxYAUDz5s2RJIm7d+8yYcIEHB0diY6OZs2aNaxatYrw8HDy589Pnz59qFy5MkZGRsTHx7Nx40YWLVpEfHw8jRo1wsrKSi6rJEk8efKEpUuX4ufnR1hYGF5eXvTs2ZOaNWu+NdeDJEkkJSURHh7O2bNn2bhxI5cvX8bNzY1atWrJ2wUHB78xRbVSqcTNzS3d/0MqlYoCBQrI55MkiZw5c2Jvb4+Jickbm+8kSSIiIoInT55gZGSElZUVFhYW30zNnggQhA/m5eVFixYtsLOzy+qiZFsGgwGFQvFFfuHs3buXa9eufbbzJSQkMGXKFJKTkylWrBiSJHHs2DGePXvGvHnzUm0bExPDxo0bWbx4MV26dKFFixbs378fT09PoqOjqVixIkZGRjg7O3Pnzh1CQ0NTZXJMSkrixYsX8kPn0qVLrF69mnz58pEzZ04iIyMZMGAAFhYWNG7cONW5JUkiOjoaf39/Lly4gLe3Nw4ODmzatAljY2PGjx+PSqVi7969HDhwgDx58uDt7U1oaChdu3Zl+fLlfP/99xl+DgaDgYiICAICAjA3N8fb25vo6GgmTpxITEwMf/31F8nJyQwdOpTNmzdTvnx5LC0tuXHjBu3bt2fx4sWULl2aefPmMW3aNEqVKoW9vT3btm0jNjaWfPnyodfrSUhIYOrUqcybN4/SpUvj6enJgwcPaN++PXPmzKFu3bqsW7eOIUOG4OPjg6enJ/7+/sTHx8sJrwwGA35+fuzZswdPT0+8vLwICwujW7duLFu2jCpVqmR4jY8ePZJH75w4cQITExNKly5N586dKVu2LBYWFvL2tWvXfuO9aG1tzZ07d95Y4xAbG8u2bduIi4vj/PnzmJub06hRI0xNTd+4z8CBA+nRowc5cuSgdu3a/PnnnxQsWPCL/D/7qb1XgDBv3jzmzZvHo0ePAChcuDDDhw+nTp06wKv/dH/++Sfr169Ho9FQu3Zt5s6dm+qP9uTJE7p06cLhw4extLTk119/Zfz48fKEJoLwLRGdD/+PiYkJ//vf/zhy5AhhYWHEx8ej0+k4deoUYWFhODo6Aq8CicmTJ3Ps2DEGDx5MvXr1UKvV/Pjjj5w9e5Zbt24xd+5crK2t5SDjbQoWLEjr1q25f/8+sbGxaLVakpKS2LdvX5oAIYVGo2HcuHFUrlwZrVbL0KFDuXLlCqGhobi5uVG5cmUiIiJ49OgR8fHxaLVaQkJCOH369BsDhBRarZYlS5ZQoEABoqKiGD9+PFu2bKFjx448e/aMAwcO0KNHD7p27YqFhQUXLlygU6dO/Pvvv+TMmZPNmzfTpEkThg8fjoODAw8ePKBFixby8YODg9m+fTstWrRgyJAh2NnZce/ePTp06MDOnTspW7Ysq1evpkqVKowbN45cuXLx9OlTfv/9dznYUiqVVKhQgZcvX/Lw4UP5bxYeHs7x48czDBBmzZrF1q1b0Wg0lC9fnmHDhuHj40OuXLnSfRZMmDCBqKioDD8rIyOjt/Y5CQsLo0uXLiQkJKBWq2nfvj358+eXOwf/l0qlonLlynz//ffY29sTGBjI1q1bCQ8PZ8OGDd9Eoqv3eip7eHgwYcIEvL29kSSJFStW0LBhQy5dukThwoXp06cP//77L5s2bcLGxobu3bvTpEkTTpw4AbzqZFSvXj1cXFw4efIkz58/p127dhgZGTFu3LhMuUBBELKHp0+fMm3aNO7evYuxsTEKhYKkpCTi4uJSVS+vW7cOCwsLJk6cSL169T6oaeb1fgqSJLFnzx6mTZuGsbGx/IDSarVERkZmeIySJUtStmxZuYmtQoUKnD9/noSEBJKSkli7di0rVqxIVY2t1WqJiYl5pzJWrVqVIkWKoFKpcHZ2pl69eqxbt47ExERCQ0OJjo6mZcuWODg4oFAo+O6776hSpQq3bt0iOjqa4OBg6tWrh5ubGwqFgoIFC/LDDz9w79494FUtzIsXL2jWrBkuLi7yNvXq1ePIkSNER0dz7949WrZsSb58+VAoFOTLl4969eqxc+dO4FWQtGHDBhYtWpTqOnU63Ruv8969e9y/f5+8efPi4+NDsWLFsLOzyzBgLlas2BtHHCiVyrc2Z+TMmZN79+4RHx/PmTNnGDVqFFOnTmX48OHpNpNaWlqydu1azMzMUKlUJCUlkTt3bubMmcONGzcoUaLEG8/3NXivAKF+/fqpfh87dizz5s3j9OnTeHh4sGTJEtauXUv16tUBWLZsGYUKFeL06dOUL1+eAwcOcOPGDQ4ePIizszMlSpTg77//ZuDAgYwcOfKbiMiEzBEbG8vevXspVaoUXl5eb90+pY34ypUrVK1aFVtb20wplyRJBAUFcfr0aWJjY3F1daVcuXJvbZZJqQZ9+PAh5ubmfPfdd3h7e3/V1ZrHjx/n7t27LFu2jPLly2Nubo6fnx/t2rVLtV2VKlUIDw9n7dq1+Pj4kC9fPnmdQqFI00nR1NSU5OTkVEHGixcv5KGQer2elStXUrNmTUaNGkXOnDnR6/U0bNjwjeU1NTVN9UBTqVRyG3dkZCQ7duygQ4cO9OzZEwcHB5KSkihZsuQ7fx7/fWOOj4+Xm6PUajUKhYLY2Fh5vV6vJyYmRn5Qq1Qq4uPjU70hv35MlUqFSqVKdQxJkoiKisLY2BiVSiX3QzAYDHIg9voxYmNj2bJlC61bt6Zv377kyJEDjUZD2bJl39hZdPr06bRt25YDBw6wY8cOlixZQtGiRalcuTJlypQhb968qfp+1K1b96ObGNRqtTwCwdPTk4sXL3L27FnCw8PTDRCUSmWqWgkzMzPc3d1RKpXEx8dneJ6vyQfX6+v1ejZt2kR8fDy+vr5cuHABrVZLzZo15W0KFixIrly5OHXqFOXLl+fUqVMULVo01R+xdu3adOnShevXr/Pdd9+ley6NRoNGo5F/f9cIXPh2REZGMnr0aEaMGPFOAQK8aneePHkyhQoVypQAIaUDV/fu3Tl+/Djx8fE4OjrStm1bBg4ciJ2dXZoHviRJJCQkMHfuXObNm0dQUBCmpqYUK1aM+fPnU7hw4a86SIBX1cVKpZLr168za9asNF/GXl5eDB48mGHDhvHnn38yffp0PD09USqVmJqaEhQURHR0tNyZLk+ePNy6dYsTJ07g4ODAjRs35I5/r0vJXBkVFcWmTZsIDAykcuXKH3UtSqUSExMTXrx4wbJlywgKCnrnfY8cOcLWrVv54YcfCAoKYuHCheTNmxcrKyvc3d1xdXVl0qRJjBkzBgcHB3bt2oW/vz99+vTBwcGB/Pnzs3jxYrn/wNGjR9m3bx+lS5cGwM7ODi8vL2bOnEnu3LnJlSsXx44dY9u2bTRp0gQHBwe+++47Nm7cSJkyZShRogRnz55l69atcnPPf6/z5cuXrFy5kidPnrzx2lQqFWXLlqV06dK8fPmSa9eucfz4cRYtWsTMmTMpXbo0I0eOlDuVTp06lejo6AyPZ2RkhI2NTbrroqKi2L9/P15eXnKTwsWLF/Hz88Pb21vug/DfLKb+/v4kJCRQpkwZLC0tuXDhAqtWrUKlUqUKSr9m7x0gXL16FV9fX5KSkrC0tGTbtm34+PgQGBiIsbFxmi9aZ2dnOR/1ixcv0kR4Kb+/KWf1+PHjGTVq1PsWVfiGuLu7c+zYsfcaUfHTTz9Ro0aNTJthMDk5mWnTphEYGMisWbOoUKECK1euZPbs2ZQsWZJmzZql+7C/ePEi06ZNo0GDBvTr14/bt2/Tv39/Ro0axfLly1N13vqa+Pr6ki9fPn7++WeUSiVmZmZyB8DXpVSFz5s3jz///JPOnTszbtw4SpYsSdGiRVmwYIH8srFo0SLKlStHwYIF6dGjB3369MHS0pKiRYvKTQkqlYpWrVoxevRo9uzZg5GREblz55ar5j+Era0t9evXZ8GCBcyfPx9jY2O8vb3fa5rnokWLMnjwYLp3745Op8PW1pbRo0eTI0cOHB0d6dixI1OmTMHX1xdJklAqlfj6+tK0aVOcnZ3p2rUrgwcPpnr16qjVaiwtLSlQoAAqlQqlUomHhwddu3Zl1KhRVK9eXa5p8PHxoX379tja2tKrVy+6d+9O48aNUalUWFhYULhwYbkWwdLSkkaNGrFw4UKWLl2KkZGR3NHzXSiVSlxdXXFxcaFKlSr06dOHCxcusHv37lQvha+PaHhfycnJ7Nixg6NHj5KcnCx/Vi4uLnTo0EG+vyZOnMjixYu5desWarWa+/fvM27cOJKSkuQ+F2ZmZvz99984OTl9cHmyk/cOEAoUKEBgYCDR0dFs3ryZX3/9lSNHjmRG2WR//fUXffv2lX+PiYkR86l/Y5KSkggICODJkydYW1tTunRprl+/Tp48eShWrBgJCQns2bOHsmXL4u3tzf379zl//jxly5bl6tWrPH/+HGdnZ2rUqCG/WT59+pRLly5Rs2bNTBmJ8fjxY86cOUPjxo1p06YNAN26dePUqVPs3buXBg0aYGZmlmofg8HA/v37cXV1pV+/fnh7e+Pt7c29e/dYsGAB169fp2zZsp+8rF8Cb29v5s6dy9atW4mNjcXHx4eyZcuyYcMGHB0dMTMzo27duri7u8sZJ2fOnCm3CRctWpQaNWowffp0Tp8+TVJSErly5cLFxYWZM2eyc+dOoqOj8fX1xd3dHT8/P+zt7VEqlfz666/kyJGDCxcuYGNjQ926dQkMDJSbIZydnWndujUuLi4olUrKly+fphrc29ubZs2aYWtri4WFBf369aNAgQLcvHkTV1dXGjZsyI4dOyhYsOA7fR6lSpVi+PDh+Pv7o9PpqFmzJhUrVpQDmy5dulCgQAGOHj1KYmIi+fLlo2HDhri5uQHQqFEjnJyc8PPzA171aZg3bx42NjZyu3qLFi3IkycPfn5+xMTE4OHhQZMmTciTJw8AlSpVkod/JiUl8f3332NlZcXFixextrbGzMyM3r17ky9fPq5fv46LiwsNGjRgz5498jHehUKhwNjYGGNjY2rUqEGNGjXeed+3cXR0ZOzYsRw+fJi7d++i0+nw8PCgVq1aqUYjFC1alCZNmsi/t27dGldXVy5dukRUVJQcxJQqVeqrr8WTSR+pRo0aUqdOnSR/f38JkCIjI1Otz5Url/TPP/9IkiRJw4YNk4oXL55q/YMHDyRAunjx4jufMzo6WgKk6Ojojy2+8IH27t0rtWnTRoqIiMj0c2m1Wmn8+PGSh4eHZGxsLNna2kq1atWSSpQoIc2YMUMyGAzS48ePJR8fH2nDhg2SJEnS1q1bpfz580uNGzeWXFxcJCMjIylHjhzSiBEjJIPBIBkMBmnz5s1SuXLlpFu3bqV7Xo1GIzVr1kxq0KBBhj+dO3eW9Hp9uvsfO3ZMyps3r7R582Z5WWJiojRw4ECpTJkyUkxMTLrX2rBhQ6lVq1apPtuLFy9KLi4u0pYtWz7mo3wve/bskWrVqvXRxwkKCpJ+/vln6dSpU5+gVNmfwWCQ9Hq9pNPp0v0JDQ2VmjdvLg0cODDDe+td3LhxQ9q1a5cUHBwshYSESEuXLpU8PDykyZMnf9RxhXczbdo0aeDAgZJGo8nqoqTxrs/Qjx5baDAY0Gg0lCpVCiMjI/z9/eWsU7dv3+bJkyfyFLW+vr6MHTuWkJAQuYrGz88Pa2trfHx8PrYowlfqxIkTLFq0iJo1a9KnTx9UKhVTp07l6NGjb9zv0aNHFCtWjN27d2NlZcWkSZNYu3YtHTp0IFeuXG89ryRJPHr06I3pdV8fW/9fiYmJJCYmpmpWMzIywt7ensjIyHTnC5D+f2IWNze3VG+nzs7OJCcnfzOdo75mYWFhtGnThrNnz6ZZp1KpaNu27Sc5T0hICKNGjeLRo0fo9Xq55qNly5ZieK3wTt4rQPjrr7+oU6cOuXLlIjY2lrVr1xIQEMD+/fuxsbHh999/p2/fvtjb22NtbU2PHj3w9fWlfPnywKt2JB8fH9q2bcukSZN48eIFQ4cOpVu3bmmylQlCiitXrqDRaBg/frzcaalPnz6cP3/+jfvlzJmT3r17U6pUKQB+/fVXjh49KmfKexsTE5N0v8TflVKpRKlUpuoMJ0kSOp1O7oWeHrVajU6nSxVAaLVaFAqF+GL/CpiamvLTTz9RpEiRNOuUSiXlypUjMTERe3v7j6rKLlu2LBMnTuTMmTPExsaSK1cuGjVqlOFcFoLwX+8VIISEhNCuXTueP3+OjY0NxYoVY//+/fzwww8ATJs2DaVSSdOmTVMlSkqhUqnYvXs3Xbp0wdfXFwsLC3799VdGjx79aa9K+KokJiZiYmKSqp+AhYXFW0ce2NraptrGysoKhULxxpStr0tOTqZ58+ZvrEFwc3Nj0aJF6T64rayssLKykhOLwasROcHBwXJb9n8pFApcXV0JDQ0lISFB7kD58OFDzMzMMm04pvDpSZIkZ8p8/W9tZWVFjx493rjPp5ioy8zMjOrVq8vDztM7j/T/Oya+7XzS/x++mfIDyPuk7Jey/F2P+3oZVCrVt9Oun4281+vIkiVLePToERqNhpCQEA4ePCgHB/AqMp4zZw4RERHEx8ezdevWNNFq7ty52bNnDwkJCYSGhjJlyhSRRVF4I1dXVxISEjh16hRJSUloNBquX7/O/fv337jfx37hSJJEaGjoG38iIiIy3D9XrlzkzZuXDRs2EB4ejk6n4+7duxw+fJgKFSqkm/dDqVRSuXJlLly4wOXLl9FqtXK+fFdXVzmnvPDlCw8Pp3HjxsycOfOd97l69SqlS5fm1KlTmVYujUbDv//+S5UqVXB3d6d8+fJs2rSJxMTEDPeJi4tj0qRJVK1aFXd3dwoXLkz//v15/PixHBgkJiaycuVKWrRogaurKy1btiQ0NDTd40mSRGBgIGXKlMHNzU0MXf9CiSez8MX7/vvvyZcvH127dqVu3boolUqOHDlCUlJSpla5m5iYcPz48Q/e38nJiaZNmzJgwAC6dOlCwYIFOXr0KDqdjvr168uZ3zZv3kxcXBzt27dHoVBQvXp1Fi9ezIABA6hbty7BwcHs2rWLvn374unp+akuT8hkpqamNGzYMN2JpjLi6OhImzZtMm1KYen/p57u0aMHefLkoVWrVty6dYs+ffpgbGxMgwYN0v0/9fjxYzZu3EjhwoUpU6YMz58/Z9WqVTx79ozVq1djZGREREQEkydPJnfu3Dg7O5OYmJhhsiStVsuiRYuIjY1Fo9GIGTi/UCJAEL54efLkYdKkSQwbNowlS5bg4uJC8+bN2b17d6ocBikJdoBU2eZSKBQKjIyM5GVKpfKNfQE+llKp5JdffiE2Npa5c+eyf/9+ihUrxpQpU/juu+/k865bt44XL17IAUKePHmYMmUKkyZNYs6cOdjZ2dGlSxf++OOPL27Gx2+ZJEno9fpUzQgpD7qUnAHt2rWT70mDwYBer0elUmEwGOT9UqrXFQoFLi4u9OzZM9P+zvHx8ezatQtTU1MWLFiAp6cnwcHB/PLLL+zYsSPDrKKenp6sXbsWFxcXLC0tiYmJYezYsWzevJmXL1/i4eFBjhw5WLNmDTly5GDEiBEZ5raRJIl///2Xhw8f0rJly1TN0MKXRQQIwhdPqVSSJ08eVq9ejbm5OVqtlj179vD8+XN5TLmHhwenT5+Wm6vq16/Pjz/+mKoav2jRopw/f15+c69fvz516tTJ1BTflpaWdO/enc6dO8sJWl4PZADWrl2b6g3KyMiISpUq4evri16vl4MdERx8OSRJ4v79+4wZM4a9e/diaWlJ+/btuXfvHjly5GDMmDHExsbSoUMHqlevTt++fQkMDKRdu3Z06tSJo0ePEhAQQK5cuRg0aBBNmzZFpVJx9epV2rZty7x58zKc0OnSpUtvbA5QqVSULFky3bkJoqKiuHTpEvXr18fT0xMjIyM8PDxo1qwZa9asISwsLN0AwcLCQv6/JkkSarUaY2NjefpjeFXjVrx4cblPQUaf271795g7dy5Dhw7l1q1bb/uohSwkAgQhW0jJcObu7k5sbCz79u2jVKlS5M2bV377en3a1pQ8869LScWbQq1Wf5b+L+mV5XXpjeBRKpVibpIvWFhYGKNGjeLw4cM0btwYCwsLDhw4wMOHD2nSpIkc8Gk0GnQ6HfCqBuHly5csX76cokWL0qFDB06cOMHAgQOpWLEibm5uSJJEUlJSukNgU7Rp04YbN25kuN7GxoY7d+6km+1Po9EQFhYmp6aGV/eal5cX4eHhb+yQq9Fo2L17N1euXCEoKIhbt27Rq1ev9+o4m5CQwPLlyylXrhwVKlQQAcIXTgQIQrZQo0YNjh8/jr+/PwB16tShd+/eadLwCsLncPv2bY4ePcrIkSNp0aIFxsbGXL16lV9++eWN+ymVSho3bkyPHj2wsLDA39+f7t27c/XqVTkD4tusWrWKhISEDNerVKoMH9opw2xTZstMYWxsnGZo7X8lJyezc+dONm7ciCRJ5MmT553nPUk598WLF7l58ybjxo0TndOzAfEXErIFX19fdu/eLX+BpbyVi6FRQlaIjIwkOTmZGjVqYGFhgUKhwNvbW865kRFra2u+//57+QGeL18+bGxs3jit9H/p9Xr0er1cS5HeDJYZSZmTISwsTB5OKUkSYWFhWFpavnHKZEtLSxYvXszcuXN58OAB06ZN448//mDfvn3kzZv3refWarWMGTOGQoUK8eLFC168eMGdO3fQarWcOHGCIkWKkCtXLvF/+gsiAgQhW0jpYJgZJEni6tWrnD59mqZNm36RtRIajYZz585x5coVQkNDsbOzw9fXlxIlSqT6XCRJ4vHjxxw8eJAXL17g6OhIrVq13ukLXHh3xsbGctbLlDkHdDodoaGhb0xElNIHJcV/cwi8i/bt239wE4OFhQV58uTh1KlT6PV61Go1BoOBY8eOkTt37lTTG/9Xyv9BIyMjihYtSqtWrTh8+DBXr159p/srLi6OkydPcuDAAWbMmJFq3U8//cTo0aMZOnToW48jfD4iQBAE4Pr166xYsYLq1at/kQHC1q1bGT58OJGRkWg0GtRqNY6OjkycOJHGjRvLb5GnT59m8ODBXLt2DY1Gg4mJCTt37mTPnj1ZfQlfFQ8PDzw8PBg1ahRjx47F1taWVatWce7cOYoWLZqp5163bt1bOylmNPmYnZ0d33//PRMmTGDFihU0aNCAgIAAdu/eTefOneVpnJOTk9FqtZibm6NQKNi6dSvx8fH4+vpia2vLvXv3WLRoEcnJybi7uwPI/Sf0ej1arRa9Xk9CQgIJCQmYmJhgbW3N4cOHU6Un3759O/PmzWPLli3vPImV8PmIAEEQsgEHBwf69etHpUqVcHNz49y5cwwePJghQ4bIORXCw8MZNGgQERERLF26lMqVK/PixQv27duX1cX/6hQsWJCuXbsyfvx4ypYti5GREQUKFKB48eJp2vc/tWLFin3wviqVipYtW3LlyhUGDx5Mz549MTc3p3r16nTo0EHuGPv333+zcOFCgoKCUKvV8rDGkJAQkpKSMDU1xcnJiR49esjNKmFhYTRq1IizZ8/KQUD+/PnJlSsX27Zto1ixYpQuXTpVeQIDA1Gr1ZQqVUpkCf0CiQBB+GwkSSIxMZH9+/dz/fp1dDod+fPnp0aNGjg5OaFQKAgODubgwYM8fPgQg8EgT+FrZ2dHfHw827Ztw9bWFgcHBw4fPgy8qp4sVqwYZ86cwc/PD0mSqFOnjvzFdfnyZY4dO0bVqlU5fvw4wcHBeHp60rRpU2xsbDIs682bNzlw4IBcpf/jjz9SuHBhACIiIjhw4AB37txBpVJRqFAhfvjhBzmd86dWq1atVL/XqFGDunXrym9xRkZGXLp0iWvXrvHPP/9Qt25dVCoVNjY2IvtiJkiZVMnT05Nr165hamqKj48PvXv3xtnZGbVajYWFBR07dpSbIDw8POjfv3+qZFcODg706tWLEiVKAK9Sdw8YMCDTEmIpFArc3NyYMmUKP/74Iy9fvsTBwYHq1avLNQHw6n5zcnKSRzo0b94cLy8v7ty5Q0xMDNbW1hQqVCjVA9/CwoIuXbrQqFGjVOe0trbOsNmlfPnyjBw5MtXoIuHLIQIE4bOaMWMGM2fORKPRAK/yxf/vf/9jyJAh6PV6/vrrLw4ePChnYbOwsKBNmzYMHjwYrVbL7t27iYqK4tGjR4SFhaHT6fD396dhw4asXLmShw8fotPp2LZtGzt27MDDw4Pbt28zY8YMNmzYwP3790lMTEStVnPixAlmzZqFmZlZqjIaDAb8/PwYOnQojx49QqvVolar2bx5MxMnTqRcuXKMGDGCzZs3k5ycjEKhwNzcnOHDh/O///0v3evetm0bf//9d4ZtzWq1mk6dOtGxY8e3foaSJBEfH8+zZ88oU6aMXP4TJ06QK1cuJEmidevWBAUFUapUKfr06SM6f2WCw4cPExMTw08//YRGo2Hu3Lm8fPmSokWLolKpMDc3TzWqwcXFJc39YWtrS7t27eTfnZycMryHPqUcOXLQsmXLDNdXqlSJSpUqyb+bmZmlWfZf5ubmtGnT5r3KUbx4cYoXL/5e+wifjwgQhM9q3759VKtWjYkTJ2JjY8OlS5eIiYmRcxmUKlWK8uXL4+DgQHJyMgcOHGDTpk20bt1aHgZ2+fJl5syZQ7Vq1bhy5QotWrTg8ePHjBkzhtq1a3Px4kX+97//sW3bNnlSnKdPn1KlShVWrVqFqakpy5YtY/bs2ezcuZPmzZunKuPz58+ZOnWqPBGTl5cXT548oX///ixduhQvLy/8/f1p164d/fv3R6VScebMmTfOSGphYYG7u/sbA4Q3dRB7XXJyMsuXL+fGjRvMnTtXfvC/fPmSFy9eMH36dOzs7DA2Nmbz5s2cOnWKLVu24OHh8U7HF95NXFwcw4YN48mTJ+h0Opydnfntt9/4/vvvRTAmfBVEgCB8Vg0bNsTPz4/9+/dTuHBhihcvLrc9JiQkEBERIed4T05OBl49XF/vlPXDDz/QsGFDVCoVpUuXplixYuTOnZt69ephZWVF9erVyZkzJ8+ePZP3yZUrF//73//IkycPCoWCnj17snr1aq5evZomQAgLCyMwMJDy5cuzYsUK4NVbu1ar5datWyQmJlK3bl2ePHnC/v378fHxoVKlSqnSPv9XrVq10jQTfIiU4GDDhg0MHjyYIkWKyA8jIyMj4uLi6NatG126dEGtVrNz504GDBjA3r1736l2Qnh3P/74I3Z2dty7dw+dToenpycVK1Z8430gCNmJCBCEz6pTp06UL1+eS5cusWrVKh4+fEi7du1o1qwZJ06cYNmyZbRr147atWtjY2PDjRs36N27d6o3b1dXV/mhmFK97+DgIA8fUygUmJmZpcoKZ25unqopwczMDDMzM7mp43U6nY7ExEQCAgI4ceJEqnU+Pj4YGRkxZMgQLl++zKVLlzh06BAvXrxgwIABVKlSJd23xy1btjBixIg31iB07dqVzp07p7s+pVlhwYIFrFmzhilTplCpUqVUQ+Y8PT1xcnKiSpUq8kiMRo0aMXjwYJ4+fZrucYUPZ25uTrVq1ahWrVqWlUGr1RIfH4+lpeUXmXgoOTmZuLi4dO97CwsLTE1N0Wg0xMXFpVmvUCiwsLB4Y82ckLm+vDtK+KrdvHmTPHnyUKpUKXQ6HbNmzWLkyJHUq1eP8PBwJEmiTZs25M2bl6ioKLZs2ZJmKtj0HsCvz0ufnkePHnHs2DHy5s2LWq3m5MmTvHjxIt3OYDY2NuTPn58WLVrQtm1b7O3t0Wq1vHz5Eq1Wi4uLC1euXMHHx4fvv/+exMREBg0axNChQzl27Fi65085ZkZUKhX29vYZro+JiWHy5MkcOHCAqVOnUrVq1TTXW6VKFSZPnszFixcpXrw4KpWKgIAA9Hp9ps0OKGStY8eO0bdvX5YvXy53dPyS7Nu3j1atWqXJ/KhWq1m/fj1NmjRhy5YttG/fXk5JncLc3JytW7d+kpo34cOIAEH4rLp37469vT0uLi4YDAbOnz+PtbU1SqUSb29vzMzM6NKlC3nz5iU8PJzbt29/kipbIyMjFi5cyIkTJzAyMuLcuXO4urry448/ptnW3d2d5s2bM2fOHI4dO4aTkxPJyck8efKEUqVK0bdvX3799Vfy5csnT2t74sSJN35B16xZk5o1a35w+Xfu3Mn06dPx9vZm3bp1bNq0CXhVE/LXX3/h6OhIgQIFqFWrFtOmTZMnrjpz5gzu7u7Url37g88tfNkkSfpip0suWrQo//zzj/zwlyQJPz8/zp49S/ny5QEoXbo0M2fOlLOkGgwGdu7cyYMHD9IMixQ+LxEgCJ/VsGHDWLFiBSdPnkStVuPr60uXLl0wNzenZMmSTJgwgUmTJhEQEEDZsmUZO3YsEyZMkGdAtLGxSRUwKBSKNMvgVe9wKysr+XdPT086derExo0buX//PsWKFWPkyJFyBjhTU1Ps7e1RqVSYmprStWtX8uTJw6JFizh48CDW1tb4+vrSokULHB0d+euvv9i8eTOHDx/GysqKRo0a0bNnz0z73F6+fImVlRXBwcHs2LFDXm5jY0PPnj1xdHTE3NycMWPGsHjxYjZt2oRGo8HX15dBgwZl2rC5b4UkScTFxZGUlIQkSRgbG2NhYSFPF67T6YiPjyc5OVlen1LtbzAY5Gp2Y2Nj4uPj5RE65ubmJCUlyevNzc3l5EQajYbY2FgsLS1JTExEq9ViZGSElZVVhmnGU/rKxMXFodVq5WmnU4YRGgwG4uPj5aa1lOvIrLTlKf/vUoSFhXH06FEaNGhAjhw5gFe5El6vXQsKCmLPnj00bdpU5EbIalI2FB0dLQFSdHR0Vhflm7V3716pTZs2UkRExHvtZzAYMvx52/p32T6986xfv14qV66cdOvWrQ8+xvuUKTO863k/Zbn27Nkj1apV66PLHhQUJP3888/SqVOnPvpYWSUwMFBq0KCB5OjoKFlaWkqlS5eWVq1aJSUlJUk6nU7avHmzVKVKFcnW1lYyNzeXfH19pU2bNkmJiYlSbGys1KVLF6lZs2ZSjx49JGdnZ8nW1lbq1auXdO3aNWnw4MGSs7OzZGNjI3Xo0EGKjIyUJEmSDh48KOXPn18aMmSIVKpUKcnMzEwqUqSItHTpUkmr1UqSJEn+/v5SsWLFpIsXL0oGg0F68eKFNH78eKlAgQKSiYmJ5OTkJPXo0UN69OiRZDAYJD8/P6lGjRqSnZ2dZGNjI1WuXFnau3evpNfr073uoKAgad26dRn+rF+/Xjp//vw7fYYGg0E6deqU5OnpKR04cCDd+9JgMEh79+6VPD09pbNnz2bq/6nMNm3aNGngwIGSRqPJ6qKk8a7PUFGDIHxWb3tLed+3mIy2zyjHfUb9Fz5FWTLTu5blSyrz12TWrFncvHmTHj16YG9vz507d7h+/Tr169fH2NiYkydPUqhQIRo3boxSqeT8+fNMmjSJ/PnzkzdvXiRJ4ujRo/j6+jJw4ECCgoJYsWIF58+fx93dnQEDBvDgwQM2btxIjRo1aN26NQDBwcHs3r2bunXr0qJFC/bu3cvIkSMpWLAgvr6+qcqo0WhYunQp8+fPp0GDBuTPn5/w8HDWrl2Lqakpw4YNY8KECURHRzNgwADMzMy4evUqly9fpmbNmnJSpNcFBgbSqlWrDJswlEol3bp1e+skVfDq/+K///5Lnjx5KFCgQLr3qk6nY8+ePRQuXJjcuXOL+zmLiQBB+OqZmZnh5OT0RfbyFrIHMzMzSpcuze+//56q6crS0hKDwUCTJk2YN28eCxcuJC4uTq7if/r0qdyM5ebmxpw5c3B2diYpKYkrV66g1WoZOXIk+fPnJykpiVu3bnHixAk5QDA2NqZbt260bdsWtVpNkyZNqF+/Plu3bk0TIERHR7Nu3TpatWpF+/btMTMzQ6fTYWdnx9q1a+nQoQOWlpaUKlWK9u3bY2FhIc/oqFKp0r3uqlWr8uDBgww/F4VCkerzeJPY2Ng0OU3+KyIigl27dvHnn39+kXOifGvEN6bwVVMoFNSvX5/69etndVGEbKxfv35MmTKFMWPGkCNHDlxdXalSpQoFChTg4cOHDBo0iOjoaHx8fDA1NSUhIYFDhw6l6plfvHjxVP1cPDw8UCgUeHh4yJkXnZ2diYiIkPdxdHSUjwmv2vRz585NUFBQmjJqNBoePXrExIkTmThxIvB/NWje3t4kJCQwfPhwFi5cKF+Hh4cHNWrUyLAjcEREBEePHs3wc1EoFBQoUICyZcu+9TPcuXMnBoOB2rVrZxiQbN68GSsrKypXrpzhNsLnIwIE4YslSRLHjh3jxIkTdOrU6YPfKDK7mjI8PJzFixdz/fp1XF1d6dixI15eXjx//hx/f38CAwOJi4vD09OT5s2by8ma4P96oB84cIBDhw4RHx9PqVKlaNCggTyz3ruQJIlbt26xdu1aXr58ibe3Ny1btsTd3R2FQkF8fDzz5s3jypUr2NjY0K1bNzF73nvIlSsXkydPJigoiKCgIPbu3cvgwYNZtGgRDx484MmTJyxbtozy5ctjamoq58d4XXoPvNc7B6bXLBYbG0tYWJi8LC4ujrCwMHLnzp3usezs7GjRokWabI5WVlbkzp0bBwcHpkyZQlBQEE+fPmX9+vUcP36chQsXpjud+pUrV2jfvv1bmxjeFiDEx8ezc+dOChQoQLFixdL9PxkbG8v27dspUaKEmD/kCyECBOGLJUkS9+7dY//+/bRu3fqLrXKMj4/Hz8+PwMBAihUrRvPmzYmLi2Po0KH4+/vLUzEnJiayfv16li1bxnfffQdAYmIiU6ZMYd68eajVatRqNf/++y9RUVH07dv3nc4vSRKXLl2iXbt2hIeHy1M8Hz58mJkzZ+Ll5YVOp+Pq1ascOnQIvV5Ps2bNRIDwHnr37k2xYsUoUaIE1tbWJCQkcObMGRISEjAzM0OlUnHq1CmcnJx4+vQp48ePR6vVfvR5IyIimDZtGiqVCmdnZ1auXMnTp08ZMGBAmm1tbGyoU6cOp0+fpmLFipQsWZLk5GQuXrzI7du3qVixIr/99hs1a9akSJEiWFlZERsby/nz59Hr9ekGCNWrV+fp06cZBggpyYzeRJIkLly4QGBgIH///Xe6EzNJksTx48e5f/8+vXv3FsmRvhAiQBCET+Tvv//mjz/+QKFQkJSURL169WjdujVFixbFxMSEvXv30qNHD9asWSO/Re3bt4/58+fTrFkzevXqhbu7OxcvXnyvce0JCQnMnz+f5ORkNm7cSMmSJfn333/p1asXO3bsoGfPntjY2LBixQpu376dbu4H4c3UajXjxo3j+fPnSJKEu7s7v/32G/b29lhZWdGsWTNmzJjBqFGjcHFxoW7dugQHB3/0ed3c3HB1daVr1648f/6cHDly0KpVKxo0aJBmWwsLC/r06cPEiRMZPHgwL1++xMjICDc3N9q1a4eRkREJCQn89ddfhISEoFKpyJ07N927d083OIBXw39fn+XxQyQnJxMQEIBSqcww6VFSUhJ+fn5YWVllaWZKITURIAiZQqvVsm3bNu7evUuvXr3kNs6kpCRWr15NYmIinTp1Ij4+ngMHDnDy5EliYmLw9PSUMyn+V2RkJAsXLqRw4cLUq1cPhUKBVqtl9erVaLVa2rZtK7+dHD16lJ07dxIaGkquXLlo0aIFhQsXznDs+Lt61+YKU1NTmjZtmmpZs2bNmDRpkjzmPTExEX9/f+zs7Bg8eDDOzs4AaTqfvU1QUBDXrl2jUaNGVKxYEYVCwY8//kjVqlU5evQoHTt2zPABILybYcOG0bRpU0JCQpAkCRcXF3x8fLC0tEShUNC/f39q1qxJTEwMOXLkwMfHh/r161O8eHFMTU35/fffMRgM8t9BqVTKweTrb9Tdu3dPdT+am5vTuXNnunTpQkhICPb29pQuXVo+TuHChZk4caLcbFWgQAEmTZpEu3btCAsLw8jICGdnZwoUKICNjQ2zZs3i1q1bhIWFoVKpcHd3p3DhwumOYPhUlEoltWvXpnLlyhlOr65QKGjSpAlNmjRJM7uqkHVEgCBkCrVajZmZGUuWLKFx48YUKlQIgNDQUObMmUPXrl1RKBSsXr2aadOmySMMjhw5wt69e1mxYgXe3t6pjpmYmMiRI0dQq9XUrVsXhUKBwWDgwoULaDQaWrZsiU6nY8mSJUyYMEHunX306FH27t3LjBkz0p1pz2AwUKhQIaKjozO8HldXV86dO/fBD1pJkrhz5w5xcXF8//33qFQqYmJiuH79OuXLl2fRokWsW7cOhULBL7/8QufOnXF2dn6ngCQiIoKXL1+mCizMzMwoXrw4q1at+iRV3d86W1tbKlSokOF6R0dHfvjhh1TL6tWrJ//7vxkBFQpFuu326QWHVlZWGQ4jdHZ2TlMj5OjoSNWqVdPd3snJCScnp3TXZRYjIyPKlSv3xm1MTU2pWLHiZyqR8K5EgCBkCoVCQYkSJfDy8mLjxo2MGDECgJMnTwJQrlw5VCoVxYoVo3PnzpiZmSFJEvfv32fDhg0cOnQoTYDwLm7dusXChQtp2rQpPXr0wNnZmbt379K/f382bNhAqVKl0ryhKBQKGjRokCZf/OtsbW0/+C0r5boGDx5MrVq1aNKkiZx9LzY2lpMnT3L9+nXKlStHTEwMs2fPJiwsjDFjxmT4xvU6rVaLRqNJNV20UqnE0tKShIQEOYWtIAjC+xABgpBp3NzcqFSpEjt37qRv375YWVmxZs0aypQpQ758+dDpdNy5c4cVK1bw+PFjefZFlUpFZGTkB53zyZMn3L9/Hzs7O/r3748kSRgMBnn66OTk5HQDhEmTJr312B8yGkKSJIKCghg4cCD29vYMHjxY7tSlVCoxMjIiMTGRtWvX4uPjQ1xcHBMmTGDnzp388ccf7xQgqFQq1Gp1qimxJUkiKSkJY2NjkWwmmypatCjTpk1Lt7lNED4HESAImUalUtGkSRPWrl3Lvn37yJcvH7du3aJTp06YmZnx7Nkz5s6dS4UKFdiwYQPOzs7odDqqVauWbr8AhUKBSqUiOTlZXiZJErGxsRgbGwOg1+vR6/U8fvyYFy9epNrfxcUl3YelwWAgf/78REVFZXgtbm5uXLx48b2aGPR6Pffv36dbt254eXkxYsQIXFxc5PVmZmZ4eHhga2tLwYIFMTExwdjYmBo1arB06dJUD/w3sbW1xdHRkcuXL8vV2klJSdy+fZvcuXOL/geZTKfTERwcjKmp6SetvndyckrTbPEx4uLiePr0KQaDAWtra9zd3VEqlWi1WqKiooiKikKn05E7d27Mzc1T7fvgwYM096ONjQ2urq7vla9AkiQ0Gg2hoaHEx8djZGSEo6Mj1tbWKBQK9Ho9UVFRREdHo9FoMDIywsHBARsbG7kGLyEhgYcPHwKvElWlN+RT+DREgCBkKh8fH4oVK8auXbtwcHAgR44cVKlSRa5iT0hIoGTJkuTLl4/ExET27duXYe9vc3Nz7OzsOHnyJCEhIVhbW3Pu3DmOHj0qz5To5uaGp6cnv//+O82bN8fBwYHExETu37+PWq1Od0iWQqGgefPmn7SJQa/Xc/bsWYYMGUKBAgX4+++/0+Q1sLa2pkyZMixYsIBz585RunRpoqOj2bZtG25ubu88i6W7uzs+Pj5s2rSJhg0bki9fPs6cOYOfnx+///676PSVyaKjo+nevTslS5ZkxIgRX2yNzZkzZ6hfvz6JiYk0bdqUNWvWYGJiwoYNG1i3bh1nz54lLi6OQ4cOpekL8csvv3DhwoVUy1q3bs3cuXNTNW29iSRJREZGsmjRItauXcvdu3exs7OjTp06zJ8/H7Vazfnz55kwYQIXLlzg5cuX2NvbU7VqVQYNGiSP/Lly5Ypcvh9//JE9e/Z8sZ95dicCBCFTKZVK2rZtS8eOHQHkpgZ49QZSvHhxJk+ezI4dO9BqtURHR2Nvb5/usSwtLSlbtiyjR4+mWbNmmJmZ8eLFi1SpXn18fGjevDlTpkyRs7IlJyfz8uVLmjdvToECBdK88SiVSsaNG/dJrzs+Pp5p06Zx/PhxEhISaN++vbyuUqVKdO/eHQsLC+rXr8+2bdvo1KkTuXLlIiEhgVu3bvHHH3+QM2dOAPbt28fq1auZOHFiukPOrK2tadOmDe3bt6dNmzY4Ozvz6NEj7O3t+emnn0QNgiBzdnamT58+VKhQQb4vAgICsLa2pmHDhuzevTvd/VQqFc2aNaNdu3byMnd39zQ1DW8iSRJLlixhypQp1KpVi0GDBhETE8Pu3bvlfjLXrl1DrVbTp08f3NzcuHDhAitWrCAxMZGtW7fKIzV27drF/PnzRf+aTCYCBCHT+fr6UqFCBZ4/f07Lli3l5XZ2dowdO5Y5c+Zw4cIFvLy8+OOPP5g9e7Y85M/BwYF8+fJhbGyMSqWiffv2JCcns337doyMjBg5ciQ3b96Uc8qbmZkxYMAAihUrxurVq3n69CmOjo60bduWFi1ayE0Rn4OVlRWFCxdGo9GkSo0bEREhf7EVLFiQdevWMXXqVC5evIiVlRVTpkyhWbNmmJuby8miDh8+jF6vT/c8CoWCGjVqsH79embNmkVQUBCVK1emV69e+Pj4iLerN0hOTubhw4fY2trK9xy8GjHz6NEjnJ2dsbe3Jz4+nhcvXsi1TPb29jg5OaUbfMXGxvLs2bNUVfWJiYk8fvwYV1dXbGxskCQJnU7Hy5cviYqKwmAwYGtri6urqzyFdGYwMzOjcuXKlChRQl42a9YsFAoFBw4c4ODBg+nup1AoyJcvHz/99NMHn/vly5dMmzaNn3/+mbFjx2Jra4skSXKOBoC2bdvSunVreXr3hg0botfrWbt2LQkJCVhaWmJnZ8dPP/3E3r175aYGIXOIAEHIdI6OjmzdujXNcoVCQf78+ZkxY0aq5a9XbzZs2JCGDRvKv1taWtK3b983Zhk0NjamQYMG6SaTyUx+fn6o1Wrq1auHm5sbS5Ysees+SqUST09PZs+ene765ORkHj9+TMWKFTOc4AZeveFVrlyZypUrp7s+KSmJXbt2cfbs2VTzA3zrEhIS6N27N3nz5mXWrFlyM9LJkyf5448/WL58OaVLl2bSpEls3LiRx48fo1QqKVWqFH/++Sd169ZNc8zz58/TpUsX1qxZIw9PfPDgAW3btmXUqFHUr18fSZJYv3498+fP58qVK+j1egoXLkzPnj1p3bp1ugHC3bt32bZtW4bXolAoKFWqFNWrV3+vzyClCepNTWiSJHH16lVmzpyJkZERxYoVo2TJku/VfHX8+HGMjIzw9fXl0KFDPHv2DHd3d6pUqSLngvhvAJ8yVDlXrlwiu2IWEAGCIHwCKpWKXbt2cfv2bYoWLfrGh/n7iIyMJCQkhN9///2jJq9JSkpixYoV7N+//53zK3wLbG1tqVu3LsuXL+fhw4d4eXmRnJzM4cOHcXZ2ltMV379/nw4dOuDp6YlGo2HHjh1Mnz4dX1/fDxr+ev78eUaNGkXx4sXp0qULxsbGbN++ndGjR1O+fPl0h/jevHmToUOHZpjYS6VS0b179/cOEN6FwWDg0KFDHDx4EJVKhZubG507d6Zr167vHCQ8efIEvV7P9u3bOXnyJFFRUVhbW1O1alWWLFmSZlZISZK4ePEiBw8epE+fPmI21iwgPnFB+EgeHh5s374dg8GAQqH4pG86OXLkYMGCBR/dj8DGxobNmzej1+s/eRmzu+bNmzNr1iz8/Pzw9PTkyZMnHD58mHbt2mFiYoJCoaBevXrMmTOH27dvk5CQgFarxcLCgvj4+Hee7vh169evx8jIiM6dO8ud/Fq1akVgYCAHDhxIN0CoW7fuW4f/ZtZDtFWrVvj6+pInTx4eP37MxIkTGTt2LFWrVqVkyZLvFHDq9XrCw8NJSkpi+/btuLm5sXr1aqZPn87KlSvp1q2bvK3BYODSpUv079+fZs2a0aRJk0y5LuHNRIAgCB8ppe9DZh07vclt3td/U/oK/8fBwYEaNWoQEBDAzz//TGBgILGxsVSuXBmFQsHp06cZPHgwhQoVktN5P3z4kAMHDmQ4HPe/DAZDqm2DgoJSzYuRsk6lUhEaGppuOR88eMCmTZsyvA6FQkGZMmU+6dDIFH369JH/7ezsTP/+/bl69SoXLlygZMmS73SMHDlyYGNjQ6tWrShfvjwAXbp0YceOHZw/f17eTqfTcfToUYYPH85PP/1Ely5d3johlJA5RIAgCMI3TalU0rRpU7p168a9e/fYsmULvr6+eHh4oFAouHz5MiqVivnz58u5NJYvX87evXvTPZ6lpSV6vZ6IiAh5Ou/g4GAiIiLkbZycnChcuDCTJk2Sg8uUpF6enp7pHvf27duMGTMmw577KpWKbt26ffIAwWAwyJ2AU2YmTUpKIjk5+b06/ZYoUQKlUkliYqJc25aYmIhOp0uVx8Tf358hQ4bQtGlTunfv/s7DfYVPTwQIgiB883x8fPDy8mLRokWcOnWKqVOnyg8mFxcXOdvld999x7Vr15g3b16Gx8qbNy9qtZp//vmH+Ph4oqOjWbZsWaqagRYtWrB3715Wr15Nw4YNsbOz48mTJ/j7+9O3b990syfWrVs3VZCRng9pYnjy5AlPnjzhxo0baDQaLl++jF6vx9PTEzc3Nw4fPszmzZv5/vvvyZEjB48fP2bu3LkolUq+//574FVwc+PGDZRKJd7e3umWo2jRopQrV46ZM2ei1+txc3Nj48aNPHv2jJEjRwJw4sQJ2rdvT+XKlSlZsiSBgYHAq+Dnu+++E7Vgn5kIEIQPFhUVxa1btz6oDVb48j1+/Pi9ZrrMrhQKBU5OTlSrVo0xY8ZQuHBhKlSoIDcVVKtWjQYNGjB58mQSExMpXLgw9evXT3dkDrwavvvnn38ybtw4mjdvTp48eahdu3aqzJ6+vr4MHz6cxYsX06lTJxITE3FycqJs2bJpEmqlUKlUmdKUtWzZMkaPHi3XTHTp0gWAf/75h169euHq6kp0dDT9+/cnPDwcCwsLSpUqxZAhQ8idO7dcq/Dnn39iYWHBkiVLsLW1Tbf8o0aNYuTIkQwZMoS4uDg8PT3p0aOHPA30oUOHePnyJRs3bmTjxo3yvra2tly4cEGknf7MRIAgfBCVSsW5c+fo3Llzpk4VK2Sd+Pj4D5owKztSq9W0b9+eKlWqYGlpmSoltpOTE2PGjKFjx47odDocHByws7OjTZs2cqrhiRMnylM/S5JEmzZt8PX1JTY2FhsbG5ydnfn999/l5FdKpZKWLVtSpUoVwsLC0Ol0mJub4+TkRI4cOTLtOlOaBzQajTxPx2+//ZZus0TKFNIFCxZk2rRpvHjxgsTERHkKaWdnZ7nzrMFgICwsjBIlSmTYJKBQKChSpAjz5s0jKCgIrVaLjY0NuXPnlpsYfv/9dzlYeF3KyAl41Qyh0WgyzAsifDoiQBA+SI0aNXjy5ElWF0PIZN/ScMgcOXJk+HB2cHDAwcEh1bLXM36mTGcO/9chtHDhwhluD6+mQc6dO/dnnUvgyZMnVKpUiSZNmrBy5UpMTEzImTOnHLikR6FQyAFBRu7duwdAmzZt3jgcV6lUvvFYbysLvBoiWqlSJfR6fbrBhPDpiABB+CBKpfKzZiUUBOHjeHl5MWrUKHQ6Xbopxz+GiYkJAwYM+CyZOz08PBg9ejSAaHLIZCJAEARB+AbkyZOHfv36Zdqx8+TJkynH/i93d3cGDRr0Wc71rRONx4IgCIIgpCECBEEQBEEQ0hBNDIIgZDpJktBqtSQnJ2d1UQThs/gaRlmIAEEQhEwXERHBwoUL2bVrV1YXRRA+iwsXLlCmTJmsLsZHEQGCIAiZysbGhk6dOmU4x8C36sGDB2zZsoVWrVrh7u6e1cX5IAaDgZMnT3L58mU6dOiAubl5Vhfpi5EzZ05KlSr1SUeLfG4KKRumSouJicHGxobo6Gh5JjRBEITsIiEhgT/++INcuXIxaNAgLCwssmXOCUmSuHv3Ln379qVZs2a0bdtWJE7LBt71GSr+koIgCJ9RUlISs2bNIj4+nu7du2fb4ABeJVHy9vZmwIABLFiwgJMnT2Y4mZSQ/YgAQRAE4TMxGAwEBATw77//MmTIEHl2yOxMoVBQsWJFWrduzdSpU0WG1a+ICBAEQRA+A0mSePDgAbNmzaJTp04UL148q4v0ySgUClq1aoWLiwtz5swhPj4+q4skfAIiQBAEQfgM4uPjmThxIkWLFqVhw4ZfVVu9QqHA1taWXr16cfXqVbZv3y6aGr4CX88dKgiC8IXS6/WsXLmSZ8+e0bVrV6ysrLJ908J/KRQK8ufPz59//sn8+fO5dOlSVhdJ+EgiQBAEQchEBoOBgwcPsnbtWsaOHfvW2QqzM6VSSbVq1WjcuDETJkzgyZMnZMOBcsL/JwIEQRCETCJJEo8ePWLBggW0b9+eYsWKfXU1B/+lVqvp0KED1tbWzJ8/H41Gk9VFEj6QCBAEQRAyiV6vZ/r06bi5udG0aVPU6m8jN52trS09e/bk7Nmz7Nu3T9QiZFMiQBAEQcgEWq2WxYsXc+vWLQYOHIitrW1WF+mzUSgUFC1alD59+jB16lQCAwNFkJANiQBBEAThEzMYDBw7doyNGzcyYsQIcubM+dU3LfyXUqmkbt261KtXj4kTJxIcHCyChGxGBAiCIAifkCRJhIaGMnv2bBo2bEjZsmWzukhZqn379hgZGbF8+XJ0Ol1WF0d4DyJAEARB+IQ0Gg0TJkzAxcWFdu3afTP9DtKjUChwdnamd+/e+Pn5cfDgQZEfIRsRAYIgCMInotVqWb9+PdeuXaN///7Y2dl9c00L/6VQKChZsiS9e/dm4sSJXL16VTQ1ZBMiQBAEQfgEJEni4sWLLFu2jAEDBuDp6ZnVRfpiKBQK6tatS5UqVZgxYwZhYWEiSMgGPipAmDBhAgqFgt69e8vLkpKS6NatGw4ODlhaWtK0aVNevnyZar8nT55Qr149zM3NcXJyon///qJtShCEbO358+dMnjyZJk2aUKVKlawuzhfHyMiIzp07k5iYyNKlS9FqtVldJOEtPjhAOHfuHAsWLKBYsWKplvfp04ddu3axadMmjhw5QnBwME2aNJHX6/V66tWrR3JyMidPnmTFihUsX76c4cOHf/hVCIIgZCGNRsPcuXOxtbWlVatWGBsbZ3WRvjgKhQJXV1f69OnD3r17OXToUFYXSXgb6QPExsZK3t7ekp+fn1SlShWpV69ekiRJUlRUlGRkZCRt2rRJ3vbmzZsSIJ06dUqSJEnas2ePpFQqpRcvXsjbzJs3T7K2tpY0Gs07nT86OloCpOjo6A8pviAIwiej1+uldevWSRUrVpRu3bqV1cX54ul0Omn9+vVSjRo1pFu3bkkGgyGri/TNeddn6AfVIHTr1o169epRs2bNVMsvXLiAVqtNtbxgwYLkypWLU6dOAXDq1CmKFi2Ks7OzvE3t2rWJiYnh+vXrH1IcQRCELGEwGDhz5gwLFy5kxIgR5M+fP6uL9MVTqVQ0btyY0qVLM2XKFNEf4Qv23gHC+vXruXjxIuPHj0+z7sWLFxgbG6fJGObs7MyLFy/kbV4PDlLWp6xLj0ajISYmJtWPIAhCVouIiGDOnDnUrFmTihUrfvMjFt6VkZER3bt3JyoqitWrV4uhj1+o9woQnj59Sq9evVizZg2mpqaZVaY0xo8fj42NjfzzNc+GJghC9mAwGJg7dy4Gg4HffvsNExOTrC5StqFQKHBzc6NXr15s3bqV06dPi1qEL9B7BQgXLlwgJCSEkiVLolarUavVHDlyhJkzZ6JWq3F2diY5OZmoqKhU+718+RIXFxcAXFxc0oxqSPk9ZZv/+uuvv4iOjpZ/nj59+j7FFgRB+KR0Oh2bNm3C39+fkSNH4uzsLGoP3pNSqaRChQp07NiRkSNHcvfuXREkfGHeK0CoUaMGV69eJTAwUP4pXbo0rVu3lv9tZGSEv7+/vM/t27d58uQJvr6+APj6+nL16lVCQkLkbfz8/LC2tsbHxyfd85qYmGBtbZ3qRxAEIStIksS1a9dYunQpffr0wdvbWwQHH0ipVNKiRQuKFCnCjBkz0rxcClnrvQIEKysrihQpkurHwsICBwcHihQpgo2NDb///jt9+/bl8OHDXLhwgQ4dOuDr60v58uUBqFWrFj4+PrRt25bLly+zf/9+hg4dSrdu3UQVnSAIXxRJknj48CFRUVHy221cXBzTpk2jfPny1KpVK4tLmP0ZGRnRtWtXgoOD2bRpE3q9Hng1JP758+eEhoZmcQm/XZ88k+K0adP46aefaNq0KZUrV8bFxYWtW7fK61UqFbt370alUuHr60ubNm1o164do0eP/tRFEQRB+Cjx8fGMGzeOn3/+mUuXLhEXF8fs2bNJTk6mS5cumJmZidqDj6RQKMiXLx+9evVi+fLlnD17lujoaDZs2EDVqlXZv3+/aHrIIgopG37yMTEx2NjYEB0dLZobBEHINDdv3qRdu3ZcunSJggULUqdOHc6ePcusWbPSJIkTPo5er2fJkiVs2LABHx8fVq9eTXR0NL169WLs2LGYm5tndRG/Gu/6DBVzMQiCIKRDkiQePHjAtWvX0Ov1XL9+nZkzZ2JsbIyHh4cYmvcJpbynFi9enBs3brBo0SK5WefEiRNERESIWoQsIAIEQRCEdOh0Og4cOEBSUpK8LDk5mYCAABo3bszRo0fRarXiwfWRJEkiKiqKZcuW8fPPPxMSEoJGo5HXX7x4kfv372dhCb9dIkAQBEFIh0ajYf/+/Wn6GOh0Oo4fP864ceMICwvLotJ9PSRJ4tSpU4waNYpnz56lqZkxGAzs378/i0r3bRMBgiAIQjquXbvGgwcP0tQQmJqaUqVKFYYMGYKDg0MWle7roVAoKF++POPGjcPLywuVSpVqvSRJ7Ny5U8z+mAVEgCAIgpCOrVu3pgoOlEolHh4eDBgwgB07dlC5cmWMjY3FKIaPpFAosLOzo02bNuzZs4eGDRtiZ2eXapunT59y4cKFLCrht0sECIIgCP8RHR3N8ePH0el0wKvgoHr16sybN4/BgwdjZWUlAoNPSKFQoFAo8Pb2ZsGCBYwZMwYvLy/5M9ZoNBw4cCCLS/ntEQGCIAjCfwQGBhIcHIxSqcTOzo7+/fuzatUq6tatKxK6ZSKFQoGjoyP/+9//2LZtG/Xq1cPExITk5GTOnDlDZGRkVhfxm6LO6gIIgvDp6XS6DGdHFd4spVNcSEgIJUqUoFu3blSvXh2dTkdwcHBWFy8VlUqFi4vLR9VmJCUlER4e/sWNxrCzs2PChAl4e3uzceNGbt26xdGjRylVqlRWFy1bMjExwdHR8b3uFZEoSRC+QiEhIbRt2zari5EtGQwGbt++TXBwMEWLFsXJySmri5QhBwcH1qxZ81EBwoULFxg+fLjcnPKl0ev13Llzh+fPn1O4cGGcnZ2zukjZUokSJRgzZgxGRkbv/AwVNQiC8BVKTEwkKiqKiRMn4ubmltXFyVbi4uKIj4//4h9E165dY+TIkR99nLCwMCIjI1m+fPlHHyszabVawsLCyJEjB2q1eHS9j4MHD3L48OH3Tu4lPmVB+EqZm5vj6elJ7ty5s7oo2crrlapfckfEmJiYNEMCP5S5uTn58+f/JMfKLNnl7/IlunHjxgcFVSJAEARBeI14+HyZxN/l8xOjGARBEARBSEPUIAiCkOmSkpI4evQo7u7uFC5c+J32CQ8P59ixY1SoUCFTOwpGRERw9uxZIiIisLW1pUyZMuTIkeON+yQlJXHjxg3u3r2LWq2mQIECFCxYULSNfwLJycmcPXsWY2NjypQp8041B7Gxsfj7+1OqVCly5syZaWWLiYnhwoULvHjxAgsLC0qWLImHh8cb99Fqtdy+fZtbt25hMBjw9vbGx8cnWwyXFXezIAiZLiYmhokTJ1KnTp13DhAeP37MwIEDWbJkSaYECJIkERYWxujRo9m4caMcIDRu3JiRI0fi6uqa7sNJp9OxdetWxo8fz927d1GpVBQqVIgpU6ZQpUoVURX+kRITE1mwYAH29vaULl36nT7P0NBQBgwYwNSpUzMtQIiKimLGjBksWbKE58+fY2FhQbVq1fjnn3/IkydPuuWUJImAgAD++usvbt68KQcIw4YNo2nTpiiVX3Yl/pddOkEQvgoODg6sX7+ezp07v/M+RYoU4ciRI5QpUyZTymQwGNi4cSPr1q2jT58+XL58mREjRrB161bWrFmT4bC/ly9fMnToUHLmzElAQADbtm3DyMiIgQMHEhcXlyll/ZZYWVkxY8YMRo0a9c7BVq5cuTh69Cg1a9bMlDIZDAYOHz7M3Llz+fnnnwkMDGT27NmcPXuWGTNmpJp98nXx8fEMGDAAExMTtm/fzsGDB3F3d2fQoEHZYqIvUYMgCMJH0+l0XLhwgTt37mBiYsJ3333H8+fPMTY2pnTp0mi1Ws6dO0fOnDkpWrQooaGhBAQEUKpUKYKCgnj48CG2trb4+vrKyVxiYmI4duwYlSpVwsXF5ZOXOTIyksOHD1O+fHn69OmDiYkJ3t7enD59mkOHDtGmTRtcXV3T7Hfw4EEkSaJ///6UL18eeJWauV+/fpw4cYIff/zxk5f1a6LT6bhx4wZXr15FpVJRrFgx4uPjiYuLo0KFCigUCq5cuYKpqSnlypUjKioKf39/ihUrRmRkJHfu3MHc3JwyZcrg4eGBQqEgISGBY8eOUa5cOXLlyvXJy5yS6jlfvnwMGjQIJycnfHx8uHr1KgEBATx69IiCBQum2e/EiROEhobyzz//8MMPPwDQr18/OnbsyP79+7/4XCUiQBAE4aMYDAa2bNnCmDFjuHPnjhwUqNVqChcuTIkSJYiNjWXq1KnUqVOHokWL8ujRI/r370+lSpU4ffo0jx8/xtrammbNmjFz5kyMjIx48uQJQ4cOZcmSJRkGCH/++ecbsxuam5szbdq0dJPBxMXF8fDhQ5o1ayb3HVCpVFSuXJlp06YRGxubboBw5coV3N3d8fLykpeVKVMGlUrF7du3RYDwBilv4sOHDycwMBClUkmRIkXw8PDA2NiY4sWLo1KpWLJkCfb29pQtW5bnz58zePBgKlSowLlz57h79y5mZmbUqVOHefPmYWtrS1hYGEOGDGHq1KkZBggTJ04kMDAww7KZmpoycuTIdIcFa7Vabt68SalSpbC0tJSXV69enXXr1hESEpJugHDjxg2srKwoVqyYvMzHxwcHBweuXr36Hp9c1hABgiAIH+X27dtMnz6dHDlyMH/+fOzs7Fi+fDlz5sx5Y3+DyMhInj59yvTp0/Hy8mLp0qUsX76crl27UrRo0Xc6d8qUzBmxtrbOsKkgOTmZ2NhYnJ2d5apshUKBs7MzMTExJCcnp7tfeHg45ubmWFlZyctSaj2ioqLeqdzfqpCQEKZPn05SUhI7duwgV65c7Ny5k/Hjx78xsNJoNFy5coVhw4ZRsmRJtm7dypQpUzh//jw1atR4p3PfvXuX8+fPZ7jewsKChISEdNcZDAaioqJwcHBI1RHVxcWFhIQEEhMT090vIiICIyOjVLNT2tjYYGJiQnh4+DuVOyuJAEEQhI/y6NEjHj58yK5du+ROZQMGDODUqVNv3M/GxoauXbtSr149ANq0acPevXu5d+/eOwcI+/fv/+ByKxQKlEplmgBCp9OhUqkybP9WqVQYDAb0en2qfSRJ+mSJi75WYWFhBAYGMmvWLGrWrIlSqSRv3rwcP378jfsZGxvToUMHmjdvDsAvv/zCnj17uH379jsHCIsXL/6osqfcK68nbNJqtSiVygw7G6pUKiRJSnWv6PV6JEnKFiNevvwSCoLwRdNoNCgUCpycnOSHqpGRUbrV868zNTVNlc7Y3NwcIyOjDN/c09OzZ0+CgoIyXG9ubs6cOXPSbWIwMTHB3t6ep0+fYjAYUCqVGAwGnjx5gp2dXYbD0FxdXbl27RpRUVE4OjoCEBwcjCRJbx0e+a3T6XTo9fpU94pSqSRnzpxERERkuJ9arU41OsHExESe5fFdjRkzhkuXLmW43tTUlDFjxuDp6ZlmnUqlwsnJiRcvXqDVauV74/Hjx1hZWWFhYZHuMZ2dnUlOTiYkJEROeR4WFkZiYmKm9Kv51ESAIAjCR7GxsUGlUnH69GmcnZ1Rq9U8e/aMy5cvv3EeiJQ3+I/x4MEDHj58mOF6KyurVG9vr7O1taVo0aLs2rWLP/74A2dnZ8LDw9m2bRtFihTB3t4+3f0qVarE4sWLOXHiBDlz5sRgMLBr1y4kSRIzDb6FmZkZVlZWnDlzhu+++w4TExNCQkI4c+YM3t7eb9z3v/fK+w4nffbsGbdu3cpwvbm5eYajEUxMTChXrhzr1q3j4cOHFCpUiISEBNatW0fevHkzHFpZrlw54uLiOHDgAAUKFECpVHLo0CFevnxJxYoV36v8WUEECIIgfJRChQpRoUIFBg4cyMWLF7G0tOTIkSNERUVl+jjv3bt3f/C+VlZW1K9fn3///ZfOnTvj6+tLYGAgd+7coXv37tja2gJw/Phxrl27RqdOnVAqlZQvX57ChQszbtw47t69S0JCAps2baJ69eoUL178E13Z18nFxYXatWszZcoUnjx5Qo4cOTh79iwvX76kQIECmXru+fPnf/C+RkZG1KlThw0bNtC9e3dq167N3bt3CQgIYNSoUXIgnDKq4X//+x9mZmYULVqUSpUqMWfOHF68eIGpqSmbN2+mcOHCVKhQ4VNdWqYReRAEQfgozs7ODB06lFKlSjF//nzmz59PiRIlKF68OObm5qmqkl/vDPj67+ktS2+bT0mhUFCtWjXGjRvHo0ePGDt2LFeuXGH06NHUqVNHDm727NnD8OHD5bZnKysrJkyYQPHixZkzZw5r1qzhhx9+YPjw4RgZGWVKWb8W1tbW9OrVi59++olVq1Yxa9YsPDw88PX1xdTUVO7D8d92/fTuA4VCkWpZZt8rJUqUYOLEiWi1WsaNG8fhw4fp27cvrVu3lst9+vRpBgwYIHd2VKvVjBo1iho1arB69Wrmz5/Pd999x8SJEzE3N8+Usn5KCun1HhfZxLvOZS0I36rHjx/Tvn17li9f/llmc4yMjCQxMRETExMkSeLOnTu0bt2aESNG0K5dOwASEhIwMjLCxMQEnU5HYmIiZmZmcmctvV5PQkICJiYmGBsby7+/vk1m0Ov1JCYmotfrUalUmJqapjpfYmIiWq0WKysr+QFkMBjQaDRotVoAucyfM4vi+fPn6dixIxcvXvyo8+7fv5/Jkydz8ODBT1i6jMXGxhITE4OJiQkKhYLQ0FCaNGlCixYtGDx4MCqVisTERBQKBaamphgMBhISEjA1NZUDMIPBQGJiImq1GhMTEwwGA/Hx8am2yQx6vZ6kpCR0Oh1KpTLN+TQaDUlJSVhZWckBjiRJaDQaub+EsbExxsbGnzWL4vbt29mwYQPLly/HxMTknZ+hoolBEISPtmPHDvz9/fH09ESr1bJ3715y5MhB6dKl5S/C18ePq9XqVMME4VVHsNeX/ff3zKJSqVKV7b/MzMwwMzNLtUypVKa7XHi7o0ePsm7dOjlwPXLkCHq9nmrVqsmB2etv1+ndB0qlMlXHQKVS+dnulYw6JML/dZ58XUqgY2pqmtnF++REgCAIwkcrWbIku3btYsGCBWg0GsqVK8egQYMyvV1ZyH4KFCiAqakpK1asIDY2Fh8fHyZNmkTZsmWzumjCf4gAQRCEj1akSBHWrl0r5xRQqVSfvRpVyB68vLyYO3eu3DyjVCoxMTER98oXSAQIgiB8tJQv+cyawjY4OJidO3fy008/vXV63awiSRIREREcP36c+/fvY2FhQdmyZSlWrBgqlQqtVsvVq1e5cuUKoaGhWFhYULp0aUqUKIGxsXFWF/+zUSgUcjt8ZoiIiGD9+vXUqlWLfPnyZco5PlZsbCyXL1/m6tWrxMTE0Lp16zT39ZIlS3jx4kWqZUWKFOHHH3/8bFNFiwBBEIQv3rNnz5g+fTrFixf/YgOE0NBQevfuTUBAANHR0RgbG+Pu7s6xY8ews7PD39+fgQMHEhQUREJCAmq1GldXV4YOHUqrVq1EFsZPJCIigmnTppEnT54vNkD4+++/2bZtGy9fvkSr1VK5cuU09/W8efMIDAxMdV+0atWKatWqfbYAQdTpCIIgfCS9Xs/o0aM5cuQIvXv35u7du1y4cIF27drJvdxNTU1p164d+/fv5/Hjx+zYsQMHBweGDh2aYS5/4evk5OREnz59GDNmTIbZN9VqNX379iUqKkr+WbBgwWfpjCmX4bOdSRCEL55er+fo0aNcvnyZpKQkPDw85LcbpVJJREQEJ0+e5Pbt2yQnJ5M7d25q1aqFo6MjOp2OQ4cOERMTQ8GCBTl8+DBJSUlUrFgRX19f7ty5w4EDB0hISKB8+fJ8//33qFQqnj17xrZt26hSpQp37tzhzp07uLi4UKdOHVxcXNIdwidJEs+ePePQoUM8e/YMc3NzKlSoIHd0S0pK4vDhw9y8eRO9Xk/evHmpXLkyOXLkyJShiI8fP+bff/+lefPm9OjRQx7dMGDAAHmbqlWrUrVqVfn3KlWq0KJFC0aMGEFSUtIbR1J8iSRJ4ty5c5w+fZr4+HicnJyoXLkyXl5eKJVKYmJiOHfuHFevXiUhIUFOkuTu7o4kSZw5c4a7d+9SunRpjhw5QnR0NCVLlqRGjRo8e/aMAwcOEBYWRokSJahatSqmpqaEhISwYcMGKlasSHBwMFevXsXOzo6aNWvi6emZbj8GSZIICQnhyJEj3Lt3T56OvEqVKqhUKnQ6HUePHuXKlSskJSWRK1cuKlWqJE8lnRn69esHvEr09aa+F2q1OktHyogAQRAE2ZYtWxg0aBARERHo9XosLCxo2rQpf//9N5aWlsydO5eFCxcSHR2NXq/H0tKS+vXrM27cOKysrPDz8+P06dMkJiby4MEDtFot+fLlo1u3bmzdupXTp0+TnJyMk5MTO3fupEiRIjx79oxJkyaxZ88erl69SlRUFCYmJmzbto01a9akGactSRLXrl1j4MCBnD9/noSEBFQqFTlz5mTs2LE0aNCA+fPnM3XqVGJjY5EkCSsrKzp16sRff/2Vbtv3tWvX6Ny5MxmlhVEoFNSuXZvhw4enuz4wMBCDwUCBAgX4+++/OXv2LPnz5+e3336jZMmSaR4CkiSRnJxMcHAwRYoUeePQuS+Vv78/f/75J48fP0av12NqakrNmjWZOHEi7u7ubNq0iTFjxhAZGYlOp8PMzIzt27czd+5c3NzcOHPmDMuWLcPKyoqbN2+SlJSEk5MTgwcP5uDBg/j7+5OYmCjPDlq9enVCQ0OZPn06Bw8e5PLly4SHh6NWqylatChr165NU00vSRJBQUH06dOH48ePExsbi1KpxNHRkSFDhtChQwc2btzIkCFDiIiIwGAwYGFhwS+//MLo0aPlbJqvCwsLo1GjRhgMhgw/m+LFizNv3ryP+nwNBgO7d+/mwoULmJqaUrduXZo2bYqDg8Nny7chmhgEQZDt378fV1dXTp48ydOnT9m2bRsVK1aUZzfMnTs3ffv2ZdmyZaxcuZIOHTqwd+9eTp8+LR8jMDCQ1q1bc/PmTY4ePUpCQgKjRo2icuXKXLt2jQMHDmBtbc3SpUvlfSIjI1EoFGzdupV79+4xYsQILly4kGqbFElJSfzzzz+Eh4ezatUqnjx5wvnz5ylZsiSzZ88mKCiIXbt2UaFCBS5dusSjR49YsWIFRYsWzfCL9fWx6hn9vClZU1hYGPHx8axcuZJ9+/ah0WjYt28fTZo0ITAwMM32BoOBnTt34u/vz/Dhw7PlGPnjx4+j0WgICAjg2bNn+Pv7U7duXblJxcXFhc6dO7No0SJWr15Nnz59OH/+PHv27JGPcffuXSpUqMDly5c5d+4cbm5uDB06lNy5c3Pu3DlOnjyJt7c3CxYskPfRaDSEhoayZMkSHjx4wPTp03n27BkzZsxIU0ZJkpg7dy43b95k2rRpPHr0iCtXrtCkSRNmzpzJvXv32Lt3L7ly5eL06dM8ffqULVu2UKFChTf2CTExMXnjvfIpOmBaW1tjZGREYmIiz549Y/DgwXTt2pXIyMgMA9lPTdQgCIIgq1mzJvfu3ePEiRMULFiQQoUK4evrC7zKKKjRaFi5ciW3bt2S281NTEyIioqSj1GmTBnat2+PnZ0dTk5OVKpUiWfPntG2bVvc3NxwdXXlu+++SzXJkq2tLR06dKBMmTIoFAo6duzI3r17OX78OL17905VRo1Gw6FDh/Dy8iIgIIAjR44Arx4GT5484dmzZ9StW5eAgACOHz9OwYIFKVOmDDY2Nhled+HChfH39//gz02tVqPT6ciTJw9///03Li4uHDlyhD///JNly5ZRsmRJeVutVsuOHTuYPn06vXr1olKlSp81A+OnUqFCBfz9/Tl58iSRkZEUKFCAtm3bAq+uMSkpiV27dnHlyhXi4+PlKY5DQkLkYxQqVIiOHTvi7u6Ou7s7NWvWJDExkd9//508efIgSRIVK1Zk//798kPRxMSE1q1bU716dRQKBS1atODEiRMcPXo03XLu3bsXU1NTAgMDuXLlCgBxcXGEh4dz584datWqxdKlS1Pd899//32G1+3o6PhR98q7+uuvv8ifPz+Ojo6Eh4ezcOFC5syZw8WLF995iuuPJQIEQRBkjRo1Ik+ePFy8eJFt27YxYcIEfvrpJ9q3b8+9e/eYOXMmJUqUYNy4cdjZ2REbG8uvv/6aqro1ZUbHFBYWFtjY2Mht7AqFAnNz81RDuExMTFJV55qammJtbU1sbGyaMhoMBmJiYjh58iTnz59P9TaVK1cudDodnTp1olSpUly5coVly5bx7Nkzfv31Vxo1apRuTcCVK1f4/fff39jEUKdOHUaPHp3ueldXVywtLalevTp58+YFXvU58Pb25s6dO8D/NSusX7+eadOmMWTIEBo0aPDZeqR/alWrVsXJyYkzZ86wb98+/vnnHypUqEDXrl1JTEzkn3/+wc7OjtWrV8vTerdt2zbVvWJvb5+qjd3S0hJzc3Ps7OyAV5+7mZlZqlkWVSqVPM02vEpdbGtrK89/8DpJkoiOjubZs2ep/g4ADg4OJCcn8/PPP+Pl5cWlS5fYvHkzd+/epVGjRrRt2zbdmp3Q0FDq1av3xiaGEiVKsHjx4nf6HDPyehDg7u5Ow4YN2bJlC7dv3xYBgiAIn9+jR4/IlSsXJUqUQKFQsGvXLgYNGkTlypWJiYkhNjaWdu3aUaVKFRITE9m9ezcRERGpjpHepDrpef1hHBERQUBAACVLlsTS0pJr165x/fp1fvjhhzT7GRkZUaxYMUqUKEHfvn1xcnJCkiQiIyOJiYnB09OT27dv4+Pjg6+vL3q9nrlz5zJs2DB++OGHdGsSjIyMcHR0fGOA8Kbe4yVLlsTGxobAwEDCwsKwtrbm+vXrBAUFUaJECeBVDczixYtZunQpQ4cOpXHjxtl6aOOzZ8+ws7Ojbdu2qNVqLly4QMuWLfnuu+8oWLAgoaGh/O9//+PHH39Eq9Vy8uTJVLUH8P5TNsOrJqaDBw9SpUoV7O3tuXfvHufOnaNgwYJptlUoFJQsWZKyZcsyevRoueNhTEwMISEh5M2bl4cPH5InTx6+++47FAoFW7ZsYcSIEVSpUoX8+fOnOWZKH4Y3BQjp9V14H+Hh4URERODi4oKpqSlxcXGcO3eO0NDQzzrMVwQIgiDIRo0aRXR0NLlz50atVhMYGIharUatVuPk5ISbmxvDhg2jVKlSREdHc+3atU8yYZpSqWTXrl3cvXsXe3t7Ll68SHR0NK1bt06zrZmZGb/99ht///039+7dw9PTE71eT3BwMFZWVkyaNImuXbvi6OiIu7s7BoOBU6dOYW5unmGP8UKFCrF3794PLr+zszPt2rVj2rRpBAcH4+zsTGBgIMHBwUyZMgWAw4cPM2rUKNzd3QkICODUqVPAqzfiPn364Orq+sHnzwrz58/n/Pnz5MuXDxMTE+7evYvBYMDU1BRLS0vy58/PtGnTOHv2LElJSdy4ceOTzGCoUCg4c+YMnTt3xt3dnevXr3Pz5k1WrFiR7rYdO3akV69edO7cmUKFCqFQKAgJCSE+Pp5Zs2YxbNgwkpKSyJkzJyqViosXL2JkZJRhnxMHB4dU/Sg+xIEDB/Dz8+PevXtERkYya9YsNm/eTIMGDahcuTLnzp1jypQpeHh4YGlpSXh4OEeOHKFgwYKfNSW16KQoCIKsS5cu2NracvDgQXbt2oWDgwPTp0/H09OTPHnyMGLECExNTdm2bRsvXrxgxIgR5M6dW57J0MzMLNUUz/DqgW5hYZFm2evD+uzt7fn999/RarXs3LkTU1NT5s6dy3fffQe8auO3trZGrVajUqlo1qwZ//zzDwBbt25l//79KBQKWrVqhaOjI3/++SeSJLFnzx78/PwoWrQos2fPztTRAp07d2bQoEE8ePCArVu3yqM+KlSoAEBQUBAqlYonT56wevVqlixZwpIlS1i+fDmRkZGZVq7M0qJFC/Lly8eRI0fYtm0bWq2WqVOnUrZsWezs7BgyZAienp7s3LmTe/fu0a9fPwoWLChX25uYmGBhYZEqaDMxMcHS0jLNstdrb0xNTfn111+xs7Nj586dJCYmMnnyZKpVqwa8CjZTOvgBVKtWjTlz5uDs7MyuXbvYvXs30dHRcp+Ybt26YWFhgZ+fH7t378bV1ZUZM2Zk6pv6pUuXWLp0KYcPH0ahULBnzx6WLFnC9evXkSSJ0qVLU7t2ba5fv86WLVsIDAykVatWzJ8/Hycnp8/XZ0XKhqKjoyVAio6OzuqiCMIX6dGjR1LVqlWlR48evdd+BoNB0uv1qX4MBoNkMBjSXZ/ye8o2ry//7/YpyyRJkpdJkiSdOnVKKlCggHTixIm3nvf1Y7yprG+7jsyQ3nn/ew06nS7dnw8p17lz56QSJUp89DXt27dPqlGjxnvv96H3yn/vl/T+phktu3btmlSgQAFpz5492fpe0ev1Gd4HbyvXh9i2bZvUokULKSkpSZKkd3+GiiYGQRBkCoXijW8n6a1//ff01qV3vIyq+jNantF531bWzynlfG8aSpmd+xz818feKxn9/rH3UHa4V951YqqsHt0imhgEQchSarUaOzs7uUpYEDKiUqmws7P7pia3ykqiBkEQhCxVqlQpTp48mdXFELKBAgUKiHvlMxIBgiAIH+zu3busW7eOX3/9ldy5c3/QMTK7GjUxMZENGzZw+vRpLCwsaNu2rTz0MDIykt27d3Px4kUsLS2pU6cO5cuXf+cq4BSSJHHy5En8/PyIiYmhUKFCNGzYECcnJwwGA8+fPycgIIBr166RmJhI3rx5adq0Ke7u7gAkJyezdetWAgICMDU1pXnz5nKCqq/FixcvmDNnDq1ataJQoUIfdIzMvlf0ej07duzgwIEDqNVqWrRoQcWKFTEYDDx69EjOvZE7d245GViKkJAQRo8ejU6nS1XeX3/9lfLly79XOUJDQ9m+fTvXr1/H1taWhg0bykOP9Xo9fn5+bN++HbVaTb169ahTp84n+wxeJwIEQRA+2IsXL9i4cSN169b94AAhsyUnJ3P48GG2bNlCrly5qFmzJsWLFyc6Oprhw4ezceNGlEolBoOBFStWsHjxYn744Yd3fhglJyezZMkSJk2aRFJSEgqFArVazePHj+W5CAYPHsyhQ4fQ6/UYDAb0ej2bN29m4cKFFCxYEL1ez5UrV9i+fTtJSUmUKFHiqwsQIiMjWb9+PZUrV/7gACGzGQwGTp8+zYoVK8iRIwe+vr5UrFiR6OhoGjduTEREBJGRkZQrV45mzZqlChBiYmJYsmQJ5ubmchOIUql8r6RG0v+fWGrAgAHs27dPvi/XrVvH0qVLqVChApIkcffuXXbs2EFMTAzu7u6ZFiCIPgiCIHwT/vjjDy5dusSPP/4IwNmzZ9mwYQNdu3bl5s2bHDx4kLx58zJ+/HjCw8Pf6ZiSJHHixAkmTZqEr68v/v7+8jDHlHS9xsbG/PjjjyxfvpzLly9z48YNxo8fz5UrV9i0e69GcQAAGFlJREFUaZOcO2Ds2LE8ePDgo5PsCB/v559/5vLly7Rq1Qp49Tds3bo1K1as4Ndff81wPycnJ7Zs2UJwcDDBwcE8e/aMpk2bvvN5JUnC39+fvXv3MmTIEO7cucO///6LhYUF//zzD9HR0ahUKrp3705wcDD58uX76Gt9E1GDIAjfoJQq8YMHD9KpUyc5SY/BYGDfvn3cuHGD3377DVNTU44ePcrJkycJDQ3F1dWVBg0aULx48TRv2BqNhrVr12JkZMQvv/yCsbExkiTh5+fH9evX5SpZSZK4fv0627dvJygoCDs7Oxo2bEjZsmU/S69thUKBwWDg8OHD5M2bl9atW2Nra4utrS2//fYbo0eP5vr161SpUuWtx0qpnQAYMWIE+fPnR6FQULp0aXkbKysrWrZsmWq/tm3bMmXKFGJjYzEYDG+cCOpLcOPGDVatWkWHDh1SZRc8ffo0+/fv5/fff8fZ2ZkTJ05w/PhxgoKCcHR0pHbt2vj6+qYZvWEwGNixYwfPnz+nbdu2cp6Dc+fOsXfvXjp37oyzszOSJPHgwQN27NjB3bt3sbS0pFatWtSsWTPT75XXRz5YWFjIU3enJNTKjFERWq2WI0eOULRoUX755ResrKwoXbo0bdu2ZcmSJdy/f59SpUoBfJYJm77su1IQhExjbW3N6tWrKV26NHXr1kWhUKDVapk2bRrFixfHzMyMgIAA/vjjDyRJkr+Q1qxZw/r16+UkRil0Oh3Hjx/H1NSUJk2ayNWsKTM4/vLLL9jY2LBv3z7++usvwsPDUSgUSJLE9u3bGT9+PPXr10+3/b9+/fryRDvpsbS05MCBA3Kb/tukBCleXl44ODjIy319fYmLiyMoKOidjqPRaLhw4QJlypRh3759tG7dGp1OR/369enevXu6SW0kSeL+/fvodDpKliyZLYY+Ojo6sn37dnLnzo2XlxcqlQqDwcCcOXPQ6XTY2Nhw69Yt+e06JQ3xihUrWLp0KTVr1kx1PEmSuHjxIrdu3ZIfhAAPHjxg586dtGzZEicnJ86ePUvv3r158uQJSqUSSZLYtGkTw4cP59dff033s+vevTu7du3K8FrMzc1ZtWpVqiDuQ6T3gI6OjqZnz55oNBry5MlDmzZtaNKkyTsn6NLr9dy6dYtixYqlSg5VsWJFJk6cyMuXLz+qzO9LBAiC8A1SKBTkzJmTChUqsHnzZmrWrImJiQlXrlzhwYMH9OvXD1NTU9zd3enUqRP29vZyFsAVK1awbt26NAHCuwgLC2PmzJl4eXmxevVqvLy8CAkJYciQIaxcuRJfX1+cnJzS7Fe6dOlUD/L/MjMze+8pk2NjY3F2dk41ZM7GxgadTifPVPk2er2eqKgo7t69y71798ifPz+JiYksWLCAZ8+eMWXKlFTlTmk/HjBgAPXr16d+/fpZPtb9XdjY2FC/fn327NlDs2bNcHBw4O7du5w9e5aRI0diaWmJra0tv//+Ow4ODpiYmBAUFMTatWtZvHhxmgDhXWg0GmbMmIGZmRkbN26kRIkSREdHM2XKFJYuXUrVqlXlibFeV7hwYXn2yPSYmJi8cWbPD6VSqcibNy+5c+fG1NSUR48e0bVrV54+fcrAgQPfKRCUJIn4+HgsLS1T1SrZ2tqSnJycatKqz0EECILwjbK2tqZq1aqMGzeOsLAw3Nzc2LBhA3ny5KFcuXJIkkRQUBDbt2/n9u3bxMXFIUkSCoXig99koqOjuXjxIvnz52fy5Mnyl/iTJ0+Ii4sjMjIy3QBh+PDhH3Wt6TExMUGr1f6/9u49KKryjQP49yx7ASJ2E3QXjKtQpggpGCGpBYymZJcpMwdHvKSBkjpjGpqFjaPYNDCZY1hppNOFLgZZUUpeUBtRUUSBFFAUUFlBggUv4O4+vz/8cXRdsFVhF+j5zOwMnvfs2fc8HM8+nPO+54HBYBCXXbt2DRKJxOJnMgiCAJlMBp1Oh7S0NIwYMQLXrl3D2rVrkZ6ejhMnTohjEYgIZ86cQWJiItzd3ZGYmNilj37uTHK5HJGRkcjMzERlZSX69OmD7OxsKBQKsaCWVqvFtm3bUFJSAp1OJ15FaKvkeLdaW1uxd+9euLq6Yv369eLy2tpa1NTU4Pz58+0mCHFxcYiLi7unz7wfarUaGzduhK+vLxQKBSorK/Huu+8iIyMDU6ZMgaenp0XbkcvlaG1tNSkGdfXqVbEmijVxgsDYf5REIsGoUaPw6aefYsuWLYiOjkZubi6mT58OpVKJ1tZWpKSkoE+fPsjKysKAAQMgkUgwderUdivZtT0p0GAwmPz1dmvJZqPRiJaWFpSVleHChQviciKCn59fh9MLx48fj8LCwg73xcnJCbt27bL4FoMgCPD19UVpaSkaGxvFglNFRUVwdHRsN0lpj0wmg5eXF/R6PR5//HHxSkZ0dDRSU1Oh0+nE/T516pRYMGjZsmUWf0Z3IAgCAgMDMXDgQGRkZECtViMnJwcTJkwQr5CsWbMGer0emzdvRkBAAGQyGRITE1FZWdnuNtuOlVuPpebmZvFnIsK1a9dQWVmJxsZG8UoLEcHd3b3Dv8jj4+OxdevWDvfF0dER33zzTacXPXJ0dDS5qubv74+IiAgUFBRAq9ValCDY2dnB29sbFRUVuHLlilgK+9ixY1AqlejTp0+n9vnfcILA2H+Yr68vRo0ahS1btkCv10On0+Gll14SxwbU19cjKioKISEhEAQB+/btQ3l5ebuFbOzs7KBWq/Hnn3+iuroaXl5eOH36NLKzs8XpYE5OTggICEB4eDgSEhKg0Wig1+tRXV2Ny5cvd3gSHTly5B1PsPb29uLJ1BKCICAiIgI//fQTcnJy8Nprr6G+vh7p6elwc3PD4MGDLdqOvb09wsPDsXv3bhw6dAijRo3C1atXkZWVBVdXV6hUKhgMBuTl5WHp0qUICgpCUlLSHW+XdFcajQaRkZHYsGEDAgICUF5ejuTkZLG9trYWjzzyCEaMGAEHBwccOnQIRUVFJkW52giCgP79+2PLli0oLy+HUqlEVVUVfv75ZzFhkMlkGD58ONRqNRITE+Ht7Q2j0QitVgutVouAgIB2+xkcHHzHAXxyubzTv2iJCEVFRbCzs4OHhwdkMhlOnz6N7du3w97eHhqNxqLtyGQyjBo1CitWrMCePXswbtw41NTUYNOmTfDz88OAAQM6td//hhMExv7DBEHApEmTsHnzZnzyySd45pln4OrqCuDGF354eDi+/vprFBcXA7jxMJiO/nKTyWQIDg7Gxo0b8frrr8PFxQXnz583uYTft29fxMbGIjk5GXl5eXBxcYHBYIBWq8WwYcOwcuVKKBQKs20vXbq00/c9LCwMjz/+OJYvX46srCw0NjaisLAQq1atEq9ElJWVISUlBdOmTUNoaKjZeAE7OztEREQgIyMD8+fPx6OPPoqWlhYcOXIEr7zyCh577DH8888/SElJQV5eHqRSKeLj48X3R0REIDY29q6SG1sRBAHjxo3D2rVr8cEHH2DQoEHw9PQUk8mnn34aKSkpmDx5Muzt7aHVatHU1NRuOXBBEBAUFITm5mbMmzcPHh4e0Gq1JseKQqHA7NmzsXjxYkydOhXu7u4wGo24dOkSNBoN1qxZ0+4tmlmzZmHWrFmduu9XrlzB6tWrceLECRQWFqKhoQHx8fFQq9VYsmQJfH198f333yM7Oxtubm6QSqWoqqpCaWkpli1bBnd3dwBAVVUVkpOTMXHiRIwePdrsiplEIkFERAS++uorLFq0CJs2bUJdXR3+/vtvfPzxx1a/6sTPQWDsPy4wMBDPPPMMHBwcMGXKFPE+p1QqxeLFixETEyOOOVi2bBnGjx8vTot0cHCAt7c37O3tIZFIMGbMGKxYsQJGoxF1dXWYNm0aZsyYgYcffhhSqRQymQzTpk3Dxo0b4e7ujoqKCtTX1yM8PBxxcXFdMnisPYIgwM3NDevWrcPEiRNRXV0NOzs7fPTRR5gxY4Y4Yr62tha//PIL6urqOtyWr68vNm7ciLFjx6K6uhpNTU1YvHgxkpOToVQqYTQaIZPJ4O3tjerqahQWFoqvqqqqdm/XdFf+/v547rnnAECcldLmjTfeQEJCAnQ6HZqbm5GQkICYmBjxAVoKhQI+Pj5i6e+goCB8+OGHUKlUOH/+PF544QW8+eab8PHxgVwuh0QiQXR0NDZv3ozAwECcPXsWWq0WgwcPxsKFC+95bMO9aLtF1HabS6VSobS0FMXFxeKA1pkzZ2L8+PG4fPkyKioq4O3tjS+++ALz5s2DnZ0diAgNDQ349ddfUVNT0+7nCIIAPz8/fP7554iKisLZs2fh6OiIzz77DK+++updP+Hzvt1T7Ugb43LPjN3ZvZZ77o0aGhpo6tSpFBERQevXr6dTp05Z9D6j0Ug//PADhYaG0pkzZ7q0/O/169dp9+7dlJqaShqNhtLT0//1PbYu99wbtba20qJFi2j48OGUkpJCxcXFnbZto9FI27dvp2HDhlFJSck9/94MBgPl5+fT2rVrycPDg1atWvWv7+Fyz4wx1gFBELBr1y4cP34carW63dHvt9Pr9SgpKcGECRPg5ubWpdMRW1tb8eOPP2LdunVwdnbuEVMfeytBEJCfn4+ioiI4Oztj0KBBnbJdIsKxY8cwZswY+Pj43PPv2GAw4M8//8SSJUvavR3XmThBYIz1as7Ozli3bh1SU1MhkUjg6Oho0fukUineeuutu5r2eK8cHBzwwQcf4P3334cgCBb3kXUuqVSKpKQkvP32253+exAEAXPmzIEgCPf1xS6VSjFv3jzMmjULgiDc9fM/7uqzumzLjDHWDQiCgAceeOCunzlgzS/qts/ixMC2uvL3IAhCpwxGbduONQa28iBFxhhjjJnhBIExxhhjZvgWA2O9VG1tLbZt24a+ffvauiusC5w6darTns1fV1eHzMzMTtkW634OHjx4T8cKJwiM9UJthZZycnJ6RLVAdvf0ej2GDBly39txcXFB//798d1333VCr1h31NLSAj8/v7ueOSEQWaGodCfT6XRQKpUmz1BnjN1ERGhtbbV1N5gVyOXy+5oWaTQacf369U7sEeuO2gqLCYJg8XcoX0FgrBe636lU7L9DIpHwscLa1SMThLaLHm2V0hhjjDFmmbbvzn+7gdAjE4RLly4BADw8PGzcE8YYY6xnampqumP9kx6ZILSV6qysrLRacZeeSqfTwcPDA1VVVTxe4w44TpbjWFmG42QZjpPlOitWRISmpiaxymRHemSC0FbRSqlU8gFlIWdnZ46VBThOluNYWYbjZBmOk+U6I1aW/HHND0pijDHGmBlOEBhjjDFmpkcmCAqFAklJSTw1xwIcK8twnCzHsbIMx8kyHCfLWTtWPfJBSYwxxhjrWj3yCgJjjDHGuhYnCIwxxhgzwwkCY4wxxsxwgsAYY4wxMz0yQVi3bh28vb1hb2+P0NBQHDx40NZdsqo9e/ZgwoQJcHd3hyAIyMrKMmknIrz33ntwc3ODg4MDoqKiUFZWZrJOfX09YmJi4OzsDJVKhZkzZ6K5udmKe9H1kpOTMXz4cDz44IPo168fXnzxRZw8edJknWvXrmHu3LlwcXGBk5MTXn75ZWi1WpN1KisrER0dDUdHR/Tr1w+LFi2CXq+35q50ubS0NAQGBooPYAkLC8Pvv/8utnOczK1evRqCIGDBggXiMo7TDcuXL4cgCCavgQMHiu0cp5vOnTuHKVOmwMXFBQ4ODhgyZAjy8/PFdpuez6mHycjIILlcTl988QUVFxfTrFmzSKVSkVartXXXrCY7O5veeecd+umnnwgAZWZmmrSvXr2alEolZWVlUWFhIT3//PPk4+NDV69eFdd59tlnKSgoiPLy8mjv3r3k5+dHkydPtvKedK2xY8dSeno6FRUV0dGjR2n8+PHk6elJzc3N4jpxcXHk4eFBO3bsoPz8fHryySdpxIgRYrter6eAgACKioqigoICys7OJldXV1qyZIktdqnLbN26lX777TcqLS2lkydP0tKlS0kmk1FRURERcZxud/DgQfL29qbAwECaP3++uJzjdENSUhINHjyYLly4IL5qa2vFdo7TDfX19eTl5UXTpk2jAwcO0OnTp2nbtm1UXl4urmPL83mPSxCeeOIJmjt3rvhvg8FA7u7ulJycbMNe2c7tCYLRaCSNRkMffvihuKyhoYEUCgV9++23RERUUlJCAOjQoUPiOr///jsJgkDnzp2zWt+t7eLFiwSAcnNziehGXGQyGf3www/iOn///TcBoP379xPRjWRMIpFQTU2NuE5aWho5OztTS0uLdXfAyh566CHasGEDx+k2TU1N5O/vTzk5OTR69GgxQeA43ZSUlERBQUHttnGcbnr77bfpqaee6rDd1ufzHnWLobW1FYcPH0ZUVJS4TCKRICoqCvv377dhz7qPiooK1NTUmMRIqVQiNDRUjNH+/fuhUqkQEhIirhMVFQWJRIIDBw5Yvc/W0tjYCOBmsa/Dhw/j+vXrJrEaOHAgPD09TWI1ZMgQqNVqcZ2xY8dCp9OhuLjYir23HoPBgIyMDFy+fBlhYWEcp9vMnTsX0dHRJvEA+Hi6XVlZGdzd3eHr64uYmBhUVlYC4DjdauvWrQgJCcHEiRPRr18/DB06FJ9//rnYbuvzeY9KEOrq6mAwGEwOGgBQq9WoqamxUa+6l7Y43ClGNTU16Nevn0m7VCpFnz59em0cjUYjFixYgPDwcAQEBAC4EQe5XA6VSmWy7u2xai+WbW29yfHjx+Hk5ASFQoG4uDhkZmZi0KBBHKdbZGRk4MiRI0hOTjZr4zjdFBoaii+//BJ//PEH0tLSUFFRgZEjR6KpqYnjdIvTp08jLS0N/v7+2LZtG+Lj4zFv3jxs2rQJgO3P5z2ymiNjd2vu3LkoKirCvn37bN2VbuvRRx/F0aNH0djYiB9//BGxsbHIzc21dbe6jaqqKsyfPx85OTmwt7e3dXe6tXHjxok/BwYGIjQ0FF5eXvj+++/h4OBgw551L0ajESEhIVi1ahUAYOjQoSgqKsL69esRGxtr4971sCsIrq6usLOzMxvtqtVqodFobNSr7qUtDneKkUajwcWLF03a9Xo96uvre2UcExIS8Ouvv2LXrl14+OGHxeUajQatra1oaGgwWf/2WLUXy7a23kQul8PPzw/BwcFITk5GUFAQ1qxZw3H6v8OHD+PixYsYNmwYpFIppFIpcnNz8fHHH0MqlUKtVnOcOqBSqfDII4+gvLycj6dbuLm5YdCgQSbLHnvsMfF2jK3P5z0qQZDL5QgODsaOHTvEZUajETt27EBYWJgNe9Z9+Pj4QKPRmMRIp9PhwIEDYozCwsLQ0NCAw4cPi+vs3LkTRqMRoaGhVu9zVyEiJCQkIDMzEzt37oSPj49Je3BwMGQymUmsTp48icrKSpNYHT9+3OQ/YE5ODpy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    " ] @@ -283,15 +65,6 @@ } ], "source": [ - "# Save the decision tree model as a pickle file in the script's folder\n", - "pickle.dump(d_tree, open('tree.plk', 'wb'))\n", - "\n", - "# Export the decision tree as DOT data\n", - "data = tree.export_graphviz(d_tree, out_file=None)\n", - "\n", - "# Create a graph from the DOT data\n", - "graph = pydotplus.graph_from_dot_data(data)\n", - "\n", "# Save the graph as a PNG image in the script's folder\n", "graph.write_png(os.path.join('.', 'mytree.png'))\n", "\n", diff --git a/src/ID3.py b/src/ID3.py index d0357a5..b47ce3c 100644 --- a/src/ID3.py +++ b/src/ID3.py @@ -1,14 +1,14 @@ import pandas as pd from sklearn.tree import DecisionTreeClassifier -import pickle -import os from sklearn import tree +import os +import pickle import pydotplus import matplotlib.image as pltimg import matplotlib.pyplot as plt # Read the CSV file -train = pd.read_csv("train_2.csv", delimiter=";") +train = pd.read_csv("train_3.csv", delimiter=";") x_train = train.drop('czy_zebrac',axis=1) y_train = train['czy_zebrac'] @@ -16,21 +16,16 @@ y_train = train['czy_zebrac'] d_tree = DecisionTreeClassifier() d_tree = d_tree.fit(x_train,y_train) -# Save the decision tree model as a pickle file in the script's folder -pickle.dump(d_tree, open('tree.plk', 'wb')) - -# Export the decision tree as DOT data -data = tree.export_graphviz(d_tree, out_file=None) - -# Create a graph from the DOT data +pickle.dump(d_tree, open(os.path.join('.','tree.plk'),'wb')) +data = tree.export_graphviz(d_tree, out_file=None, feature_names=['Wzrost','wilgotnosc','dni_od_nawiezienia','aktualna_pogoda','czy_roslina_robaczywa','paliwo','pojemnosc_ekwipunku','cena_sprzedarzy']) graph = pydotplus.graph_from_dot_data(data) # Save the graph as a PNG image in the script's folder graph.write_png(os.path.join('.', 'mytree.png')) # Read the PNG image -img = pltimg.imread(os.path.join('.', 'mytree.png')) +# img = pltimg.imread(os.path.join('.', 'mytree.png')) # Display the image -imgplot = plt.imshow(img) -plt.show() \ No newline at end of file +# imgplot = plt.imshow(img) +# plt.show() diff --git a/src/Tractor.py b/src/Tractor.py index 21ff6d9..e3ed2a5 100644 --- a/src/Tractor.py +++ b/src/Tractor.py @@ -1,6 +1,9 @@ import pygame from settings import block_size, tile +mx=0 +my=0 + class Tractor(pygame.sprite.Sprite): def __init__(self, engine, transmission, fuel, fertilizer, capacity): super().__init__() @@ -24,6 +27,8 @@ class Tractor(pygame.sprite.Sprite): self.transmission = transmission self.fuel = fuel self.fertilizer = fertilizer + + def movement_using_keys(self): keys = pygame.key.get_pressed() @@ -47,6 +52,7 @@ class Tractor(pygame.sprite.Sprite): self.rect.y += block_size if self.rect.x > 0 and self.rotation == 270: self.rect.x -= block_size + def move_left(self): self.rotation -= 90 @@ -69,6 +75,7 @@ class Tractor(pygame.sprite.Sprite): self.image = self.left def movement(self, direction): + print(int((self.rect.x-18)/36),';',int((self.rect.y-18)/36)) if direction == 'F': self.move_forward() elif direction == 'L': diff --git a/src/__pycache__/Tractor.cpython-310.pyc b/src/__pycache__/Tractor.cpython-310.pyc index 9e8541efc8b497b3cd74fd9b02374476bfda06fa..173d36de7ff1e228708051e56e2ec993f03d111c 100644 GIT binary patch delta 598 zcmYL{&ubGw6oB8Go!y=Nkq|A~rY%^pilHLKf+$s4iCV2R2MZ!ODV^0Mu1T0(QA@x> z{0GY1MN#nLLFrNOzwi<~cq;VZ!K+?;FDbgqd~fD^^X3i9{;YnRE%!>L5a@aLzNgnq zJLP%2u(LEbuc0YvxND#tEnk6_DRjJ!KXjVvbMuctwR_jOgm`?{$~%Z>?VkG)FIwxp z#w+%m{|oDOQPp31baI_Wo)HQtZ~z_AaWu|=7IQE}?HoAy-whpv0c!bJm}3KY{4VzH&8~cZ01z>-XI{(I1<5M&z8K(%fVC42qyIYJL zf~l}S%9yt0c-nqf3(*EGb55K=>jqyjv8bj3f2)^e=~i*i{s>x8!X=j(b6z#0NothiteT)7# wN-9~AMpC*K82&LvDo=}|-F=iBK}+MX6HlJgcww&EPw`5bw<)Ng6cT5|Uphd2o&W#< delta 447 zcmXwy&o2W(6vyZ7&TeP6yG<#fCE95}p1xU&vZ`K3cC9DeKQn3-LZ`+r?k=Q#5PqjonoVG~EP* zIN;X%mo?05(a~yMO9AiP^dzVDEJY%i3t~Wc!Vwl-hprG@@Hki6<43ULCJnWKecp^? 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zeR3DG6eIiQrOe!nj2)9VvM94pNHP3-%J=r<+bov+NeoD!A!4#JtD^Xq@Zu>ItMA#T zBS|qFh@AYIMbljhS&YHTffdSUgVM|>@;nYaSsF9$2w$=HMHY7m2ARcghb+e64;JG` z5!0J|npL5m-J8*yseMXDZl`krSUMrm0iw(wLN`P}`4CZt1{WwFDi3rgR0c}vp~=H! SVd`P>3=C6BrcCx?Qv?7^Pd+UG delta 273 zcmeyy`E6J=!GynvaTkx^pu8Wv^tb5c Date: Sun, 28 May 2023 10:23:30 +0200 Subject: [PATCH 5/8] ID3 work, WM objective approach --- main.py | 34 +++++++++++++++--- mytree.png | Bin 0 -> 42847 bytes src/Field.py | 13 +++---- src/ID3.ipynb | 20 +++-------- src/ID3.py | 46 +++++++++++++++--------- src/Plant.py | 4 +-- src/Tractor.py | 23 +++++++++--- src/__pycache__/Field.cpython-310.pyc | Bin 1132 -> 1127 bytes src/__pycache__/ID3.cpython-310.pyc | Bin 0 -> 1251 bytes src/__pycache__/Plant.cpython-310.pyc | Bin 1656 -> 1663 bytes src/__pycache__/Tractor.cpython-310.pyc | Bin 3413 -> 3791 bytes src/__pycache__/map.cpython-310.pyc | Bin 3164 -> 3193 bytes src/map.py | 14 ++++---- tree.plk | Bin 0 -> 1782 bytes 14 files changed, 99 insertions(+), 55 deletions(-) create mode 100644 mytree.png create mode 100644 src/__pycache__/ID3.cpython-310.pyc create mode 100644 tree.plk diff --git a/main.py b/main.py index 6212dd1..9902dd2 100644 --- a/main.py +++ b/main.py @@ -4,11 +4,12 @@ import random from settings import screen_height, screen_width, SIZE, SPECIES, block_size, tile, road_coords, directions from src.map import drawRoads, seedForFirstTime, return_fields_list, WORLD_MATRIX from src.Tractor import Tractor -from src.Plant import Plant from src.bfs import Astar +from src.Plant import Plant from src.Field import Field import pickle import os +from src.ID3 import make_decision # pygame initialization @@ -34,13 +35,15 @@ tractor = Tractor('oil','manual', 'fuel', 'fertilizer1', 20) tractor_group = pygame.sprite.Group() tractor_group.add(tractor) +tractor.setCapacity(90) +tractor.setFuel(100) + #PLANTS plant_group = pygame.sprite.Group() plant_group = seedForFirstTime() fields = return_fields_list() -#ID3 TREE -tree = pickle.load(open(os.path.join('src','tree.plk'),'rb')) + # tractor_move = pygame.USEREVENT + 1 @@ -54,8 +57,29 @@ print("Destination: ", destination) mx=int((mx+18)/36) my=int((my+18)/36) print("Destination: ", mx,my) -tmp = WORLD_MATRIX[mx][my] -print(tmp) + +#POBIERZ MATRIXA OBJEKT FILD, Z FIELD POBIERZ PLANT, Z PLANTA PARAMETRY, WYWOŁAJ DECYCJNOSC +#ID3 TREE +dtree = pickle.load(open(os.path.join('src','tree.plk'),'rb')) + +# pobierz dane o polu field i czy ma na sobie roslinke, zadecyduj czy zebrac +this_field = WORLD_MATRIX[mx][my] +this_contain = Field.getContain(this_field) +if isinstance(this_contain, Plant): + this_plant = this_contain + params=Plant.getParameters(this_plant) + decision=make_decision(params[0],params[1],params[2],params[3],params[4],tractor.fuel,tractor.capacity,params[5],dtree) + print('wzorst',params[0],'wilgotnosc',params[1],'dni_od_nawiezienia',params[2],'pogoda',params[3],'zdrowa',params[4],'paliwo',tractor.fuel,'pojemnosc eq',tractor.capacity,'cena sprzedazy',params[5]) + print(decision) + if decision == 1: + # Tractor.collect(self=tractor, plant_group=plant_group) + print('Gotowe do zbioru') + else: + print('nie zbieramy') + +else: + print('Road, no plant growing') + 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"execution_count": 24, "metadata": {}, "outputs": [ { diff --git a/src/ID3.py b/src/ID3.py index b47ce3c..433a529 100644 --- a/src/ID3.py +++ b/src/ID3.py @@ -7,25 +7,39 @@ import pydotplus import matplotlib.image as pltimg import matplotlib.pyplot as plt -# Read the CSV file -train = pd.read_csv("train_3.csv", delimiter=";") +def make_decision(Wzrost, wilgotnosc, dni_od_nawiezienia, aktualna_pogoda, czy_roslina_robaczywa, paliwo, pojemnosc_ekwipunku,cena_sprzedarzy, tree): + decision = tree.predict([[Wzrost,wilgotnosc, dni_od_nawiezienia, aktualna_pogoda, czy_roslina_robaczywa, paliwo, pojemnosc_ekwipunku,cena_sprzedarzy]]) + return decision -x_train = train.drop('czy_zebrac',axis=1) -y_train = train['czy_zebrac'] +def learnTree(): + # Read the CSV file + train = pd.read_csv("src/train_3.csv", delimiter=";") -d_tree = DecisionTreeClassifier() -d_tree = d_tree.fit(x_train,y_train) + # print(f'Shape: {train.shape}') + # print(f'Head:\n{train.head()}') -pickle.dump(d_tree, open(os.path.join('.','tree.plk'),'wb')) -data = tree.export_graphviz(d_tree, out_file=None, feature_names=['Wzrost','wilgotnosc','dni_od_nawiezienia','aktualna_pogoda','czy_roslina_robaczywa','paliwo','pojemnosc_ekwipunku','cena_sprzedarzy']) -graph = pydotplus.graph_from_dot_data(data) + x_train = train.drop('czy_zebrac',axis=1) + y_train = train['czy_zebrac'] -# Save the graph as a PNG image in the script's folder -graph.write_png(os.path.join('.', 'mytree.png')) + d_tree = DecisionTreeClassifier() + d_tree = d_tree.fit(x_train,y_train) -# Read the PNG image -# img = pltimg.imread(os.path.join('.', 'mytree.png')) + pickle.dump(d_tree, open(os.path.join('.','tree.plk'),'wb')) + data = tree.export_graphviz(d_tree, out_file=None, feature_names=['Wzrost','wilgotnosc','dni_od_nawiezienia','aktualna_pogoda','czy_roslina_robaczywa','paliwo','pojemnosc_ekwipunku','cena_sprzedarzy']) + graph = pydotplus.graph_from_dot_data(data) -# Display the image -# imgplot = plt.imshow(img) -# plt.show() + # Save the graph as a PNG image in the script's folder + graph.write_png(os.path.join('.', 'mytree.png')) + + # Read the PNG image + # img = pltimg.imread(os.path.join('.', 'mytree.png')) + # Display the image + # imgplot = plt.imshow(img) + # plt.show() + + return d_tree + +# dtree = learnTree() #w, w, d, p,R,P,P,S + #przy robaczywej == 1 daje ok czyli jak 1 to git jest mozna zbierac, ale planowalem inaczej +# decision=make_decision(70,85,12,3,1,65,54,1000,dtree) +# print(decision) diff --git a/src/Plant.py b/src/Plant.py index b0ee9e1..3f237a9 100644 --- a/src/Plant.py +++ b/src/Plant.py @@ -61,5 +61,5 @@ class Plant(pygame.sprite.Sprite): self.rect = self.image.get_rect() self.rect.center = [pos_x,pos_y] -def getParameters(self): - return [self.species, self.wzrost, self.wilgotnosc, self.dni_od_nawiezienia,self.aktualna_pogoda,self.czy_robaczywa,self.cena_sprzedarzy] \ No newline at end of file + def getParameters(self): + return [self.wzrost, self.wilgotnosc, self.dni_od_nawiezienia,self.aktualna_pogoda,self.czy_robaczywa,self.cena_sprzedarzy] \ No newline at end of file diff --git a/src/Tractor.py b/src/Tractor.py index e3ed2a5..7ebbae8 100644 --- a/src/Tractor.py +++ b/src/Tractor.py @@ -1,9 +1,13 @@ import pygame from settings import block_size, tile +import pickle +from sklearn import tree mx=0 my=0 + + class Tractor(pygame.sprite.Sprite): def __init__(self, engine, transmission, fuel, fertilizer, capacity): super().__init__() @@ -22,12 +26,19 @@ class Tractor(pygame.sprite.Sprite): self.rotation = 90 self.collected = 0 - self.capacity = capacity self.engine = engine self.transmission = transmission - self.fuel = fuel self.fertilizer = fertilizer - + self.capacity = capacity + self.fuel = fuel + + + + def setFuel(self,fuelLevel): + self.fuel=fuelLevel + + def setCapacity(self, newCapacity): + self.capacity = newCapacity def movement_using_keys(self): @@ -75,7 +86,7 @@ class Tractor(pygame.sprite.Sprite): self.image = self.left def movement(self, direction): - print(int((self.rect.x-18)/36),';',int((self.rect.y-18)/36)) + # print(int((self.rect.x-18)/36),';',int((self.rect.y-18)/36)) if direction == 'F': self.move_forward() elif direction == 'L': @@ -107,4 +118,8 @@ class Tractor(pygame.sprite.Sprite): def find_nearest_plant(self, plant_group): self.plant_group = plant_group + + def getLocation(self): + return [self.rect.x, self.rect.y] + \ No newline at end of file diff --git a/src/__pycache__/Field.cpython-310.pyc b/src/__pycache__/Field.cpython-310.pyc index 7300160e4f4417f2fa847552b8ea741f69c85054..a0ccddf2a88b867b172e7350884422e17c281d4d 100644 GIT binary patch delta 126 zcmaFE@tlJ m*cht>+%i*hQuGj#la-l+HMol5ilt$Sx!{Tsl9LxOp8){Rfh5TQ delta 131 zcmaFP@rHvppO=@50SIQa<)_qda4%Xr>MktqtDd&PKN0Oa9oB0d?(^V$n diff --git a/src/__pycache__/ID3.cpython-310.pyc b/src/__pycache__/ID3.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a9a6151ff3946e1c6d977aac632787c88922af1e GIT binary 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None, get_cost_by_type('road'), None, None, None, None, 'road', None, None,plantObj=None) + new_road = Road(x,block) + tmp_field=Field('road', x*block_size, block * 36, None, get_cost_by_type('road'), None, None, None, None, 'road', None, None,contain=new_road) fields.add(tmp_field) - WORLD_MATRIX[x][block]=Road(x,block) + WORLD_MATRIX[x][block]=tmp_field for y in road_coords: for block in range(int(fields_amount)+1): screen.blit(road, (block * block_size, y*block_size)) - tmp_field=Field('road', block * block_size, y*block_size, None, get_cost_by_type('road'), None, None, None, None, 'road', None, None,plantObj=None) + new_road = Road(block,y) + tmp_field=Field('road', block * block_size, y*block_size, None, get_cost_by_type('road'), None, None, None, None, 'road', None, None,contain=new_road) fields.add(tmp_field) - WORLD_MATRIX[block][y]=Road(block,y) + WORLD_MATRIX[block][y]=tmp_field barn_img = pygame.image.load('assets/barn.png') @@ -74,7 +76,7 @@ def seedForFirstTime(): wzrost=random.randint(0, 100), wilgotnosc=random.randint(0, 100), dni_od_nawiezienia=random.randint(0, 31), - aktualna_pogoda='_', + aktualna_pogoda=random.randint(1,4), czy_robaczywa=random.randint(0, 1), cena_sprzedarzy=random.randint(500, 2000), species=plant_name, @@ -82,7 +84,7 @@ def seedForFirstTime(): pos_y=y) blocks_seeded_in_field = blocks_seeded_in_field + 1 plant_group.add(new_plant) - tmp_field_plant = Field('field', x-18, y-18, None, get_cost_by_type(plant_name), None, None, None, None, plant_name, None, None, plantObj=new_plant) + tmp_field_plant = Field('field', x-18, y-18, None, get_cost_by_type(plant_name), None, None, None, None, plant_name, None, None, contain=new_plant) fields.add(tmp_field_plant) mx = int((x-18)/36) diff --git a/tree.plk b/tree.plk new file mode 100644 index 0000000000000000000000000000000000000000..9ed8f15922bae7f0068f1f79ccf2d3ff4cc83d14 GIT binary patch literal 1782 zcma)7&5zqe6nC<_S??0sv}M}@mzCfUE*7oSs;v--NF^k!W+gxrM9XwyPcqZB$JTh< zG!aP4q1&!B2c$kE{s;bvUg69Qgt&9%%EudjP-ol2`jF@M-tT?C=Nznm|7XW39d7Li1AW_VV^GFM-6kUMn62*c!`TRYANyLG{<}3iN(0}vV)yT5x%-VFc-@6Vz?Ts8eJs(@R~ zC*V7W!0+&>?;^d6w1@O7YdLL9@1>R(5lMLL?;^d2mVKlY`F9T?_pjj@^z4K`c!HCy zhg*+sy`FkO{}_B1Ui$mzTfYu|YRY%T(B4S%`KMwk*s~fwsb4HT_J@^6ZNf$9tn`=iC@>RDAVGcIx=0xI66L@Bi@IxnBmins&oaP8{$3 zrk%5QV!P8TcHXc!uFeA*<@j}d$=c%3+K++9N29c`yhn$nhrN Date: Sun, 28 May 2023 12:20:54 +0200 Subject: [PATCH 6/8] final changes to ID3 --- main.py | 4 +- src/ID3.py | 19 +- src/__pycache__/ID3.cpython-310.pyc | Bin 1251 -> 1394 bytes src/__pycache__/map.cpython-310.pyc | Bin 3193 -> 3198 bytes src/map.py | 4 +- src/mytree.png | Bin 42847 -> 195516 bytes src/train_3.csv | 404 ++++++++++++++-------------- src/tree.plk | Bin 1782 -> 3801 bytes 8 files changed, 215 insertions(+), 216 deletions(-) diff --git a/main.py b/main.py index 9902dd2..ae78dfa 100644 --- a/main.py +++ b/main.py @@ -58,8 +58,7 @@ mx=int((mx+18)/36) my=int((my+18)/36) print("Destination: ", mx,my) -#POBIERZ MATRIXA OBJEKT FILD, Z FIELD POBIERZ PLANT, Z PLANTA PARAMETRY, WYWOŁAJ DECYCJNOSC -#ID3 TREE +#ID3 TREE LOADING dtree = pickle.load(open(os.path.join('src','tree.plk'),'rb')) # pobierz dane o polu field i czy ma na sobie roslinke, zadecyduj czy zebrac @@ -68,6 +67,7 @@ this_contain = Field.getContain(this_field) if isinstance(this_contain, Plant): this_plant = this_contain params=Plant.getParameters(this_plant) + #ID3 decision decision=make_decision(params[0],params[1],params[2],params[3],params[4],tractor.fuel,tractor.capacity,params[5],dtree) print('wzorst',params[0],'wilgotnosc',params[1],'dni_od_nawiezienia',params[2],'pogoda',params[3],'zdrowa',params[4],'paliwo',tractor.fuel,'pojemnosc eq',tractor.capacity,'cena sprzedazy',params[5]) print(decision) diff --git a/src/ID3.py b/src/ID3.py index 433a529..17f9fc2 100644 --- a/src/ID3.py +++ b/src/ID3.py @@ -13,10 +13,10 @@ def make_decision(Wzrost, wilgotnosc, dni_od_nawiezienia, aktualna_pogoda, czy_r def learnTree(): # Read the CSV file - train = pd.read_csv("src/train_3.csv", delimiter=";") + train = pd.read_csv("./train_3.csv") - # print(f'Shape: {train.shape}') - # print(f'Head:\n{train.head()}') + print(f'Shape: {train.shape}') + print(f'Head:\n{train.head()}') x_train = train.drop('czy_zebrac',axis=1) y_train = train['czy_zebrac'] @@ -24,7 +24,7 @@ def learnTree(): d_tree = DecisionTreeClassifier() d_tree = d_tree.fit(x_train,y_train) - pickle.dump(d_tree, open(os.path.join('.','tree.plk'),'wb')) + pickle.dump(d_tree, open(os.path.join('.','tree.plk'),'wb')) #1-4 1 śnieg, 2 deszcz, 3 wiatr, 4 slonce data = tree.export_graphviz(d_tree, out_file=None, feature_names=['Wzrost','wilgotnosc','dni_od_nawiezienia','aktualna_pogoda','czy_roslina_robaczywa','paliwo','pojemnosc_ekwipunku','cena_sprzedarzy']) graph = pydotplus.graph_from_dot_data(data) @@ -32,14 +32,13 @@ def learnTree(): graph.write_png(os.path.join('.', 'mytree.png')) # Read the PNG image - # img = pltimg.imread(os.path.join('.', 'mytree.png')) - # Display the image 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src/__pycache__/ID3.cpython-310.pyc | Bin 1394 -> 1397 bytes src/__pycache__/Plant.cpython-310.pyc | Bin 1663 -> 1666 bytes src/__pycache__/Road.cpython-310.pyc | Bin 565 -> 568 bytes src/__pycache__/Tractor.cpython-310.pyc | Bin 3791 -> 3794 bytes src/__pycache__/bfs.cpython-310.pyc | Bin 3057 -> 3060 bytes src/__pycache__/map.cpython-310.pyc | Bin 3198 -> 3193 bytes src/map.py | 4 ++-- 10 files changed, 7 insertions(+), 4 deletions(-) diff --git a/__pycache__/settings.cpython-310.pyc b/__pycache__/settings.cpython-310.pyc index 0af80cb05eeb962a636735d62d8559a31d3f8fff..21c67934ffb4bf4379af193361ee3be98f3f02f5 100644 GIT binary patch delta 44 ycmcb|@{ol)pO=@50SNruN;Y!;W)#-e&&bbB)h{hhEz);MEzT~ae5^V$py diff --git a/main.py b/main.py index ae78dfa..22aa97e 100644 --- a/main.py +++ b/main.py @@ -73,9 +73,10 @@ if isinstance(this_contain, Plant): print(decision) if decision == 1: # Tractor.collect(self=tractor, plant_group=plant_group) - print('Gotowe do zbioru') + print('Gotowe do zbioru') else: - print('nie zbieramy') + # decision = 1 + print('nie zbieramy') else: print('Road, no plant growing') @@ -106,6 +107,8 @@ if __name__ == "__main__": step = moves_list.pop() # pop the last element moves = tuple(moves_list) # convert back to tuple tractor.movement(step[0]) + if (tractor.rect.x, tractor.rect.y) == destination and decision == 1: + tractor.collect(plant_group) Tractor.movement_using_keys(tractor) diff --git a/src/__pycache__/Field.cpython-310.pyc b/src/__pycache__/Field.cpython-310.pyc index a0ccddf2a88b867b172e7350884422e17c281d4d..2e0ff0d25507b595e997bc3d2d5c48044cfc30e7 100644 GIT binary patch delta 45 zcmaFP@rr{xpO=@50SNruN;YykFbV7EXXNLm>X#O$7U{dB7H5~_7i^AZ;$Z>+5`7G^ delta 42 wcmaFG@tlJ@pO=@50SKf^i#BpQFbQbtXXNLm>gQ(WyU$A*S<6&k1E!_@< delta 42 wcmey$^@)o+pO=@50SGE2i#KvlVH8l;&&bbB)z8h$$uF+bcl6x6iSaNq0Qe*fumAu6 diff --git a/src/__pycache__/Plant.cpython-310.pyc b/src/__pycache__/Plant.cpython-310.pyc index 7c7a94e94ef0612d83349153dceeaaee54fb3e2d..baf14b049ae2915c2fb6f31d43d01ddf59392081 100644 GIT binary patch delta 45 zcmey*)5Oc2&&$ij00e$+B^$X5ScG--GxBp&^-GIWi}YPmi?d7e3pRJNd|?Ct4wwzL delta 42 wcmZqT{m;Xl&&$ij00dH{MH{&bSOhfnGxBp&^>Z_G@{6nV9X&Vqv3y|!0OU>#I{*Lx diff --git a/src/__pycache__/Road.cpython-310.pyc b/src/__pycache__/Road.cpython-310.pyc index 705dffadd48f5855d69f3f9cb1bd33516cf1cb4e..6cbb25b74987ff5681559e86111c57e3913c9c74 100644 GIT binary patch delta 44 ycmdnWvV(;?pO=@50SNruN;Y!qF$!zzXXNLm>X#O$7U{dB7H5~_7fkkKd;gQ(Wvdr6i%pO=@50SNruN;YzbG7IbJXXNLm>X#O$7U{dB7H5~_7i=zIj^_pd6w(bg delta 42 wcmca4dtR11pO=@50SF{Zi#BqHG7D(yXXNLm>gQ(WyU$FT(BNrC{K?4q{ delta 42 wcmew&{!yGepO=@50SE*Fvo~^|VH8l;&&bbB)z8h$$uF+bcl6x+ijj*80QwgUP5=M^ diff --git a/src/__pycache__/map.cpython-310.pyc b/src/__pycache__/map.cpython-310.pyc index b957405a92ee4f3c454f0f0f1a5e8445c973ac3a..83dbb624a37fb40c86a5ea72c96b431e0686f400 100644 GIT binary patch delta 104 zcmew-@l%2?pO=@50SNB-m85(U*vO~IB&?;Mk)NBYUs{}6r0SeoGiq#jWKHTNsj%Dj7*z5 IxxO+205P>5hyVZp delta 109 zcmew<@lS#;pO=@50SK;27N@WZZsb#B5>VIA$j?pH&&|xqFRs#e^xW*kB+e=k#K^!< z!jQ$dfN3E^Ekg-&2}?7h3q$PO$%X9VjLRl>vNv&+urAY N85y}Yw{U%B1OP8k9qRx9 diff --git a/src/map.py b/src/map.py index 701d238..6b0241d 100644 --- a/src/map.py +++ b/src/map.py @@ -73,11 +73,11 @@ def seedForFirstTime(): # wzrost;wilgotnosc;dni_od_nawiezienia;aktualna_pogoda;czy_roslina_robaczywa;typ_rosliny;pojemnosc_ekwipunku;cena_sprzedarzy;czy_zebrac new_plant = Plant( - wzrost=random.randint(20, 100), + wzrost=random.randint(90, 100), wilgotnosc=random.randint(0, 100), dni_od_nawiezienia=random.randint(0, 31), aktualna_pogoda=random.randint(1,4), - czy_robaczywa=random.randint(0, 1), + czy_robaczywa=0, cena_sprzedarzy=random.randint(1000, 2000), species=plant_name, pos_x=x, -- 2.20.1 From 5e20d594b67902688747578e08969d5f3bcd7804 Mon Sep 17 00:00:00 2001 From: Milosz Rolewski Date: Mon, 29 May 2023 13:31:17 +0200 Subject: [PATCH 8/8] boosted plant description --- __pycache__/settings.cpython-310.pyc | Bin 609 -> 601 bytes settings.py | 4 ++-- src/__pycache__/Field.cpython-310.pyc | Bin 1130 -> 1127 bytes src/__pycache__/ID3.cpython-310.pyc | Bin 1397 -> 1394 bytes src/__pycache__/Plant.cpython-310.pyc | Bin 1666 -> 1663 bytes src/__pycache__/Road.cpython-310.pyc | Bin 568 -> 565 bytes src/__pycache__/Tractor.cpython-310.pyc | Bin 3794 -> 3791 bytes src/__pycache__/bfs.cpython-310.pyc | Bin 3060 -> 3057 bytes src/__pycache__/map.cpython-310.pyc | Bin 3193 -> 3193 bytes src/map.py | 16 ++++++++++++++-- 10 files changed, 16 insertions(+), 4 deletions(-) diff --git a/__pycache__/settings.cpython-310.pyc b/__pycache__/settings.cpython-310.pyc index 21c67934ffb4bf4379af193361ee3be98f3f02f5..f5ea6d4a44612b9a044fce319d45e61e0928bd37 100644 GIT binary patch delta 169 zcmaFJa+8HOpO=@50SG)|OHy7>N@Y%CiegD;NMT;Y7{v;tS%5TK3TqU5 z3R@Hhkk1a}bEa@aaRD)RDpxAE2tyQ43TG5=3Renu3Qr1e3f~--D83Z_U%^7Z#OlT$02nprN0UpPQW};kk0|+bEa@caRD)RDpxAE2tyQ43Re_w3U>-m3U3Nu3jZ9ID83YdU%^7Z#OdZeU?x*f>9lQCM3)BR@A)zqB~DNZ%#3IJ+djV6q^Sz9cgXGY2CGvM{lL KNFW4}LQDWasU`9N diff --git a/settings.py b/settings.py index 53f1734..edd78b3 100644 --- a/settings.py +++ b/settings.py @@ -1,8 +1,8 @@ from cmath import sqrt -screen_width=1200 -#screen_width=936 +# screen_width=1200 +screen_width=936 # screen_height=1000 screen_height=936 SIZE = (screen_width, screen_height) diff --git a/src/__pycache__/Field.cpython-310.pyc b/src/__pycache__/Field.cpython-310.pyc index 2e0ff0d25507b595e997bc3d2d5c48044cfc30e7..a0ccddf2a88b867b172e7350884422e17c281d4d 100644 GIT binary patch delta 42 wcmaFG@tlJ@pO=@50SKf^i#BpQFbQbtXXNLm>gQ(WX#O$7U{dB7H5~_7i^AZ;$Z>+5`7G^ diff --git a/src/__pycache__/ID3.cpython-310.pyc b/src/__pycache__/ID3.cpython-310.pyc index 54f48932d686afc314d2a6cd7de4b8c17b47becb..ac80307d5f33946260393f6e244a0b79302a33d5 100644 GIT binary patch delta 42 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