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No need for np.repeat in normalize_along_axis
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1 changed files with 1 additions and 2 deletions
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@ -193,8 +193,7 @@ def normalize_along_axis(
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) -> np.ndarray:
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norms = np.sqrt((array * array).sum(axis))
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norms[norms == 0] = 1
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buffed_norms = np.repeat(norms, array.shape[axis]).reshape(array.shape)
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return array / buffed_norms
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return (array.T / norms).T
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def get_unit_normal(
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