回答編集履歴
2
コメントを受けて修正
test
CHANGED
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@@ -246,25 +246,25 @@
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246
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c1D = np.convolve(b1D, np.array([1, 1, 1]))[:-1].reshape(arr.shape)[:, 2:-1]
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248
248
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249
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-
# array([[1, 2, 3, 2, 1, 0, 1
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# array([[1, 2, 3, 2, 1, 0, 1],
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250
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-
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250
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# [1, 0, 1, 2, 3, 2, 1
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# [1, 0, 1, 2, 3, 2, 1],
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-
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252
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# [0, 0, 0, 1, 1, 1, 0
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# [0, 0, 0, 1, 1, 1, 0],
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254
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# [1, 2, 3, 2, 1, 0, 0
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# [1, 2, 3, 2, 1, 0, 0],
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256
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256
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# [1, 1, 1, 0, 0, 0, 0
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# [1, 1, 1, 0, 0, 0, 0],
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-
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258
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# [1, 1, 1, 2, 2, 2, 1
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# [1, 1, 1, 2, 2, 2, 1],
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-
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# [3, 2, 2, 1, 2, 1, 1
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# [3, 2, 2, 1, 2, 1, 1],
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-
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# [1, 1, 1, 1, 2, 2, 3
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# [1, 1, 1, 1, 2, 2, 3],
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-
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264
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# [1, 1, 0, 0, 0, 0, 0
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# [1, 1, 0, 0, 0, 0, 0],
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-
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# [0, 0, 0, 1, 2, 3, 3
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# [0, 0, 0, 1, 2, 3, 3]])
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268
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```
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270
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1
コメントを受けて修正
test
CHANGED
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@@ -58,7 +58,7 @@
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58
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# その1
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60
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61
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-
idx = np.all(np.convolve(np.ediff1d(arr.ravel()) == 1, np.array([1, 1, 1]))[:-1].reshape(arr.shape)[:, 2:] != 3, 1)
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61
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idx = np.all(np.convolve(np.ediff1d(arr.ravel()) == 1, np.array([1, 1, 1]))[:-1].reshape(arr.shape)[:, 2:-1] != 3, 1)
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# その2
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@@ -244,7 +244,7 @@
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244
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245
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246
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247
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c1D = np.convolve(b1D, np.array([1, 1, 1]))[:-1].reshape(arr.shape)[:, 2:]
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247
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c1D = np.convolve(b1D, np.array([1, 1, 1]))[:-1].reshape(arr.shape)[:, 2:-1]
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248
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249
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# array([[1, 2, 3, 2, 1, 0, 1, 1],
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