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further improvements using array slicing
Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com>
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@ -33,10 +33,7 @@ def retroactive_resolution(
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x: NDArray[float64] = np.zeros((rows, 1), dtype=float)
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for row in reversed(range(rows)):
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total = np.dot(
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[coefficients[row, col] for col in range(row + 1, columns)],
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[x[col] for col in range(row + 1, columns)],
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)
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total = np.dot(coefficients[row, row + 1 :], x[row + 1 :])
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x[row, 0] = (vector[row] - total) / coefficients[row, row]
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return x
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