b75cb8392b
Prior to this patch, a float literal that was close to subnormal would
have a loss of precision when parsed. The worst case was something like
float('10000000000000000000e-326') which returned 0.0.
22 lines
725 B
Python
22 lines
725 B
Python
# test parsing of floats, requiring double-precision
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# very large integer part with a very negative exponent should cancel out
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print(float('9' * 400 + 'e-100'))
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print(float('9' * 400 + 'e-200'))
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print(float('9' * 400 + 'e-400'))
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# many fractional digits
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print(float('.' + '9' * 400))
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print(float('.' + '9' * 400 + 'e100'))
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print(float('.' + '9' * 400 + 'e-100'))
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# tiny fraction with large exponent
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print(float('.' + '0' * 400 + '9e100'))
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print(float('.' + '0' * 400 + '9e200'))
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print(float('.' + '0' * 400 + '9e400'))
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# ensure that accuracy is retained when value is close to a subnormal
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print(float('1.00000000000000000000e-307'))
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print(float('10.0000000000000000000e-308'))
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print(float('100.000000000000000000e-309'))
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