d2c1db1e5c
Printing of uPy floats can differ by the floating-point precision on different architectures (eg 64-bit vs 32-bit x86), so it's not possible to using printing of floats in some parts of this test. Instead we can just check for equivalence with what is known to be the correct answer.
27 lines
928 B
Python
27 lines
928 B
Python
# test parsing of floats
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inf = float('inf')
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# it shouldn't matter where the decimal point is if the exponent balances the value
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print(float('1234') - float('0.1234e4'))
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print(float('1.015625') - float('1015625e-6'))
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# very large integer part with a very negative exponent should cancel out
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print('%.4e' % float('9' * 60 + 'e-60'))
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print('%.4e' % float('9' * 60 + 'e-40'))
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# many fractional digits
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print(float('.' + '9' * 70))
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print(float('.' + '9' * 70 + 'e20'))
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print(float('.' + '9' * 70 + 'e-50') == float('1e-50'))
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# tiny fraction with large exponent
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print(float('.' + '0' * 60 + '1e10') == float('1e-51'))
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print(float('.' + '0' * 60 + '9e25') == float('9e-36'))
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print(float('.' + '0' * 60 + '9e40') == float('9e-21'))
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# ensure that accuracy is retained when value is close to a subnormal
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print(float('1.00000000000000000000e-37'))
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print(float('10.0000000000000000000e-38'))
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print(float('100.000000000000000000e-39'))
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