import numpy as np
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def print_binary_pattern_32(x):
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pattern = bin(x)[2:].zfill(32)
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print(x, ':', pattern[0:8], pattern[9:16], pattern[17:24], pattern[25:], len(pattern))
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def to32_np_fn(x: list[np.uint8,np.uint8,np.uint8,np.uint8]):
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y = np.left_shift(x, [np.uint32(0), np.uint32(8), np.uint32(16), np.uint32(24)])
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return y[0] | y[1] | y[2] | y[3]
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def to32_bit_op(x: list[np.uint8,np.uint8,np.uint8,np.uint8]):
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# 1 0000_0000 0000_0000 0000_0000 0000_0000
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mask = (2**32) | (x[3] << 24) | (x[2] << 16) | (x[1] << 8) | (x[0])
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# remove the most significant bit
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return mask & (2**32-1)
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def quaternary_8bit_to_unary_32bit(data, to32_fn):
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four_group = np.array(data, dtype=np.uint8).reshape((-1, 4))
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return np.array([to32_fn(x) for x in four_group])
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if __name__ == '__main__':
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raw_data = [255, 0, 15, 170,
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0b101, 0b1100, 0b1001101, 0b1000_0000,
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9, 10, 11, 0b1000_0000]
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print(f"Konvertierung jeweiliger 4er-Tuple in einem uint32")
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print()
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print("Mit Python built-int Left-Shift-Operator")
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result = quaternary_8bit_to_unary_32bit(raw_data, to32_np_fn)
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for r in result:
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print_binary_pattern_32(r)
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print()
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print("Mit numpy left_shift Funktion")
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result = quaternary_8bit_to_unary_32bit(raw_data, to32_bit_op)
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for r in result:
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print_binary_pattern_32(r)
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