Created
February 28, 2020 08:24
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ndarray gets filled with or without the buffer being specified. It seems to read some memory it shouldn't have access to?
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| import numpy | |
| val = numpy.ascontiguousarray( | |
| [ | |
| [ | |
| [[4, 8, 15], [16, 23, 42], [4, 8, 15], [16, 23, 42], [4, 8, 15]], | |
| [[4, 8, 15], [16, 23, 42], [4, 8, 15], [16, 23, 42], [4, 8, 15]], | |
| [[4, 8, 15], [16, 23, 42], [4, 8, 15], [16, 23, 42], [4, 8, 15]], | |
| [[4, 8, 15], [16, 23, 42], [4, 8, 15], [16, 23, 42], [4, 8, 15]], | |
| [[4, 8, 15], [16, 23, 42], [4, 8, 15], [16, 23, 42], [4, 8, 15]], | |
| ] | |
| ], | |
| dtype="uint8", | |
| ) | |
| frame = numpy.ndarray((int(5), int(5), 3), dtype="uint8", buffer=val) | |
| data = bytes(frame) | |
| del frame | |
| del val | |
| frame2 = numpy.ndarray((int(5), int(5), 3), dtype="uint8", buffer=data) | |
| frame3 = numpy.ndarray((int(5), int(5), 3), dtype="uint8") | |
| assert numpy.array_equal(frame2, frame3) |
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Tested with
Python 3.8.1andnumpy==1.18.1on MacOS Mojave 10.14.5.Assert is not triggered.