回答編集履歴
6
import 抜けてた
test
CHANGED
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@@ -90,6 +90,8 @@
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90
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91
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```
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import numpy as np
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import random
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import more_itertools
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5
ミス修正
test
CHANGED
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@@ -114,7 +114,7 @@
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def get_ratio(r_min:float, r_max:float, arr:np.ndarray)->float:
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-
pick_elems = arr[(r_min <=
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pick_elems = arr[(r_min <= arr) & (arr < r_max)]
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m_hist, _ = np.histogram(pick_elems, range=(r_min, r_max), bins=len(pick_elems))
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4
修正
test
CHANGED
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@@ -112,7 +112,7 @@
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-
def get_ratio(r_min:float, r_max:float, arr:np.ndarray):
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def get_ratio(r_min:float, r_max:float, arr:np.ndarray)->float:
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pick_elems = arr[(r_min <= orbit) & (arr < r_max)]
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3
追加
test
CHANGED
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@@ -69,3 +69,65 @@
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print(results)
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```
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72
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[補足]
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78
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79
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少しpythonっぽくしてみました
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80
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```
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!pip install more-itertools
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87
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```
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88
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90
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91
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```
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92
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93
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import random
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94
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95
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import more_itertools
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96
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98
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99
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random.seed(110)
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100
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101
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orbit = np.asarray([random.uniform(0,1) for _ in range(10000000)])
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102
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103
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print('start')
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N = 100
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110
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hist, bins = np.histogram(orbit, range=(0, 1), bins=N)
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112
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113
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114
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115
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def get_ratio(r_min:float, r_max:float, arr:np.ndarray):
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116
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117
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pick_elems = arr[(r_min <= orbit) & (arr < r_max)]
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118
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119
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m_hist, _ = np.histogram(pick_elems, range=(r_min, r_max), bins=len(pick_elems))
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120
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return np.count_nonzero(m_hist)/len(m_hist)
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125
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results = [get_ratio(r[0], r[1], orbit) for r in more_itertools.windowed(bins,2,step = 1)]
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126
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127
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128
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129
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print(len(results))
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print(results)
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133
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```
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2
import 抜けてた
test
CHANGED
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@@ -5,6 +5,8 @@
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5
5
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```
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6
6
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7
7
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import numpy as np
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8
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9
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import random
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8
10
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9
11
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10
12
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1
ミス修正
test
CHANGED
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@@ -5,12 +5,6 @@
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5
5
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```
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6
6
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7
7
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import numpy as np
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8
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-
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9
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-
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10
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-
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11
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-
# orbit = np.random.rand(100) # サイズが100の配列の乱数
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12
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-
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13
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# print(orbit)
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14
8
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15
9
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16
10
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@@ -70,8 +64,6 @@
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70
64
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71
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print(len(results))
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72
66
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73
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-
# print(np.sum(results))
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74
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-
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75
67
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print(results)
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76
68
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77
69
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```
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