31 lines
939 B
Python
31 lines
939 B
Python
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import numpy as np
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def make_drop_map(center_x: list[int], center_y: list[int]) -> np.ndarray:
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center_x_np = np.array(center_x)
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center_y_np = np.array(center_y)
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center_x_np_unique = np.unique(center_x_np)
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center_y_np_unique = np.unique(center_y_np)
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organization_matrix = np.full(
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(center_y_np_unique.shape[0], center_x_np_unique.shape[0]), -1, dtype=np.int64
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)
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for y in range(0, organization_matrix.shape[0]):
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to_find_y = center_y_np_unique[y]
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idx_y = np.where(center_y_np == to_find_y)[0]
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to_find_x = center_x_np[idx_y]
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for x in range(0, to_find_x.shape[0]):
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idx_x = np.where(center_x_np[idx_y] == to_find_x[x])[0]
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assert idx_x.shape[0] == 1
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pos_x = np.where(center_x_np_unique == to_find_x[x])[0]
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assert pos_x.shape[0] == 1
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organization_matrix[y, pos_x] = idx_y[idx_x]
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return organization_matrix
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