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# test parsing of floats

inf = float("inf")

# it shouldn't matter where the decimal point is if the exponent balances the value

print(float("1234") - float("0.1234e4"))

print(float("1.015625") - float("1015625e-6"))

# very large integer part with a very negative exponent should cancel out

print("%.4e" % float("9" * 60 + "e-60"))

print("%.4e" % float("9" * 60 + "e-40"))

# many fractional digits

print(float("." + "9" * 70))

print(float("." + "9" * 70 + "e20"))

print(float("." + "9" * 70 + "e-50") == float("1e-50"))

# tiny fraction with large exponent

print(float("." + "0" * 60 + "1e10") == float("1e-51"))

print(float("." + "0" * 60 + "9e25") == float("9e-36"))

print(float("." + "0" * 60 + "9e40") == float("9e-21"))

# ensure that accuracy is retained when value is close to a subnormal

print(float("1.00000000000000000000e-37"))

print(float("10.0000000000000000000e-38"))

print(float("100.000000000000000000e-39"))

# very large exponent literal

print(float("1e4294967301"))

print(float("1e-4294967301"))

print(float("1e18446744073709551621"))

print(float("1e-18446744073709551621"))

# mantissa overflow while processing deferred trailing zeros

print(float("10000000000000000000001"))

# check small decimals are as close to their true value as possible

for n in range(1, 10):

print(float("0.%u" % n) == n / 10)