e57aa7e70a
CPython math.nan is positive with regards to copysign. The signaling bit (aka sign flag) was incorrectly set. In addition, REPR_C and REPR_D should only use the _true_ nan to prevent system crash in case of hand-crafted floats. For instance, with REPR_C, any nan-like float following the pattern `01111111 1xxxxxxx xxxxxxxx xxxxx1xx` would be switched to an immediate object or a qstr string. When the qstr index is too large, this would cause a crash. This commit fixes the issue, and adds the relevant test cases. Signed-off-by: Yoctopuce dev <dev@yoctopuce.com>
28 lines
578 B
Python
28 lines
578 B
Python
try:
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from array import array
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except ImportError:
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print("SKIP")
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raise SystemExit
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def test(a):
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print(a)
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a.append(1.2)
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print(len(a), "%.3f" % a[0])
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a.append(1)
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a.append(False)
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print(len(a), "%.3f %.3f" % (a[1], a[2]))
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a[-1] = 3.45
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print("%.3f" % a[-1])
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test(array("f"))
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test(array("d"))
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# hand-crafted floats, including non-standard nan
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for float_hex in (0x3DCCCCCC, 0x7F800024, 0x7FC00004):
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f = array("f", bytes(array("I", [float_hex])))[0]
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if type(f) is float:
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print("{:.4e}".format(f))
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else:
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print(f)
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