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fix(ai): get_bumpiness
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@ -1,11 +1,13 @@
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import numpy as np
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import numpy as np
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from .peaks import get_peaks
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def get_bumpiness(
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def get_bumpiness(
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field: np.ndarray[int, np.dtype[np.uint8]],
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field: np.ndarray[int, np.dtype[np.uint8]],
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) -> int:
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) -> int:
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"""
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"""
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Calculate the bumpiness of a given signal based on peaks.
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Calculate the bumpiness of a given field based on peaks.
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Args:
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Args:
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field: The game field.
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field: The game field.
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@ -13,4 +15,6 @@ def get_bumpiness(
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Returns:
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Returns:
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The bumpiness of the field.
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The bumpiness of the field.
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"""
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"""
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return int(np.sum(np.abs(np.diff(field.shape[0] - np.argmax(field, axis=0)))))
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field = get_peaks(field)
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diff = np.diff(field)
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return int(np.sum(np.abs(diff)))
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@ -11,7 +11,7 @@ def get_peaks(field: np.ndarray[int, np.dtype[np.uint8]]) -> np.ndarray[int, np.
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Returns:
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Returns:
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2D array representing the peaks of the field.
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2D array representing the peaks of the field.
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"""
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"""
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result = np.zeros(field.shape[1], dtype=np.uint8)
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result = np.zeros(field.shape[1], dtype=int)
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for col in range(field.shape[1]):
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for col in range(field.shape[1]):
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for row in range(field.shape[0]):
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for row in range(field.shape[0]):
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if field[row, col] != 0:
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if field[row, col] != 0:
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