If a uint32
array, pass it through directly. If a non-negative integer, then break it up into uint32
words, lowest bits first. If a string starting with "0x", then interpret as a hex integer, as above. If a string of decimal digits, interpret as a decimal integer, as above. If a sequence of ints or strings, interpret each element as above and concatenate.
Note that the handling of int64
or uint64
arrays are not just straightforward views as uint32
arrays. If an element is small enough to fit into a uint32
, then it will only take up one uint32
element in the output. This is to make sure that the interpretation of a sequence of integers is the same regardless of numpy's default integer type, which differs on different platforms.
Coerce an input to a uint32 array.
>>> import numpy as np
... from numpy.random.bit_generator import _coerce_to_uint32_array
... _coerce_to_uint32_array(12345) array([12345], dtype=uint32)
>>> _coerce_to_uint32_array('12345') array([12345], dtype=uint32)
>>> _coerce_to_uint32_array('0x12345') array([74565], dtype=uint32)
>>> _coerce_to_uint32_array([12345, '67890']) array([12345, 67890], dtype=uint32)
>>> _coerce_to_uint32_array(np.array([12345, 67890], dtype=np.uint32)) array([12345, 67890], dtype=uint32)
>>> _coerce_to_uint32_array(np.array([12345, 67890], dtype=np.int64)) array([12345, 67890], dtype=uint32)
>>> _coerce_to_uint32_array([12345, 0x10deadbeef, 67890, 0xdeadbeef]) array([ 12345, 3735928559, 16, 67890, 3735928559], dtype=uint32)
>>> _coerce_to_uint32_array(1234567890123456789012345678901234567890) array([3460238034, 2898026390, 3235640248, 2697535605, 3], dtype=uint32)See :
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