.NET double和python float有什么区别？

Question

In C#:

Console.WriteLine(1.2d - 1.0d);

produces 0.2 . In python 3:

print(1.2 - 1.0)

produces 0.19999999999999996 .

My goal is to write fast code in C# that produces the same floating point results as python 3. I'm obviously interested in any and all float arithmetic, not just the example above.

What is the most practical way to achieve that? Is there a library I can use?

In addition, I would like to understand, what accounts for this difference. Both representations are 64 bit, and both seem to be based on IEEE. So what is different about these implementations that make them produce different results?

References:

• 15. Floating Point Arithmetic: Issues and Limitations
• Why are floating-point calculations so inaccurate?
• Real literals
• What Every Computer Scientist Should Know About Floating-Point Arithmetic
• IEEE Floats and Python

Answer 1

As Jon Skeet points out in the comments, you need to compare the bit representations. Try this in C#:

Console.WriteLine($"{BitConverter.DoubleToInt64Bits(1.2d - 1.0d):X}");

result: 3FC9999999999998 .

Now in python 3 (courtesy of this answer ):

import struct
import binascii
print(binascii.hexlify(struct.pack('>d', (1.2 - 1.0))).decode())

result: 3fc9999999999998

As you can see, the result is the same.