回答編集履歴
4
ミスってました
test
CHANGED
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@@ -112,11 +112,9 @@
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112
112
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113
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def get_neighbors(i, j):
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115
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-
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115
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return [x for x in [(i+1, j), (i-1, j), (i, j+1), (i, j-1)]
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116
116
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117
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-
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117
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if (0 <= x[0] < field_h) and (0 <= x[1] < field_w)]
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118
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-
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-
return list(product(i_pair, j_pair))
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3
修正
test
CHANGED
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@@ -66,7 +66,7 @@
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66
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67
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68
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69
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-
infection_map = [[0.51 if random.random() > 0.99
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69
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infection_map = [[0.51 if random.random() > 0.999 else 0 for x in range(field_w)]
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70
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for y in range(field_h)]
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2
編集
test
CHANGED
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@@ -166,6 +166,10 @@
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166
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img2 = ax2.imshow(infection_map, cmap="gray", vmin=0, vmax=2)
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169
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plt.draw()
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170
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plt.pause(2)
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172
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for i in range(1000):
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1
追記
test
CHANGED
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@@ -37,3 +37,151 @@
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37
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あとは全座標総なめにして、返り値を次のステップのフィールド用の配列に突っ込んでいけば更新できます。
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43
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###### 追記
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45
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```python
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46
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47
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import random
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48
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49
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from itertools import product
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50
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51
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import matplotlib.pyplot as plt
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52
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53
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54
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55
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alpha = 0.7
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56
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57
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field_w, field_h = 100, 100
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58
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59
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60
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61
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# animal_map = [[random.randrange(2) for x in range(field_w)]
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62
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63
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# for y in range(field_h)]
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64
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65
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animal_map = [[0]*field_w]*(field_h//2) + [[1]*field_w]*(field_h//2)
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66
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68
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infection_map = [[0.51 if random.random() > 0.995 else 0 for x in range(field_w)]
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70
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71
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for y in range(field_h)]
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74
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75
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color_conds = {(True, True): 1, (True, False):2,
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76
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77
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(False, True):3, (False, False):4}
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79
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def gen_color_map():
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80
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81
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result = [[None]*field_w for _ in range(field_h)]
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83
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for i in range(field_h):
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84
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85
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for j in range(field_w):
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86
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result[i][j] = color_conds[(animal_map[i][j] == 0,
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88
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89
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infection_map[i][j] > 0.5)]
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return result
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color_map = gen_color_map()
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def next_field():
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100
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result = [[None]*field_w for _ in range(field_h)]
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for i in range(field_h):
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105
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for j in range(field_w):
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106
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result[i][j] = next_cell(i, j)
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return result
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111
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112
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113
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def get_neighbors(i, j):
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114
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115
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i_pair = [x for x in [i+1, i-1] if 0 <= x < field_h]
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116
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117
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j_pair = [x for x in [j+1, j-1] if 0 <= x < field_w]
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119
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return list(product(i_pair, j_pair))
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120
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121
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122
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# infect_probs = {(0,0):0.25, (0,1):0.10, (1,0):0.75, (1,1):0.40}
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infect_probs = {(0,0):0.18, (0,1):0.10, (1,0):0.55, (1,1):0.20}
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126
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127
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def next_cell(i, j):
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128
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129
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if infection_map[i][j] > 0.5:
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130
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131
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return infection_map[i][j]*(1-alpha)
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132
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133
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else:
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134
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135
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self_kind = animal_map[i][j]
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136
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137
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s = 0
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138
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139
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for ni, nj in get_neighbors(i, j):
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140
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141
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n_kind = animal_map[ni][nj]
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142
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143
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n_infection = infection_map[ni][nj]
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144
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145
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s += infect_probs[(n_kind, self_kind)] * n_infection
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146
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147
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return infection_map[i][j]*(1-alpha) + s
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148
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149
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150
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151
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def exec_field():
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152
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153
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global infection_map, color_map
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154
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155
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infection_map = next_field()
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156
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157
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color_map = gen_color_map()
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158
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159
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160
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161
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fig, axes = plt.subplots(ncols=2)
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162
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163
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ax, ax2 = axes
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164
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165
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img = ax.imshow(color_map)
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166
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167
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img2 = ax2.imshow(infection_map, cmap="gray", vmin=0, vmax=2)
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168
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169
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170
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171
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for i in range(1000):
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172
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173
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print(i, "step")
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174
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175
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exec_field()
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176
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177
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img.set_data(color_map)
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178
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179
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img2.set_data(infection_map)
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180
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181
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plt.draw()
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182
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183
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plt.pause(0.05)
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184
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185
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186
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187
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```
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