Windows上的“溢出错误：Python int太大而无法转换为C long”，但不是mac
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"OverflowError: Python int too large to convert to C long" on windows but not mac
提问by packybear
I am running the exact same code on both windows and mac, with python 3.5 64 bit.
我在 windows 和 mac 上运行完全相同的代码，python 3.5 64 位。
On windows, it looks like this:
在 Windows 上，它看起来像这样：
>>> import numpy as np
>>> preds = np.zeros((1, 3), dtype=int)
>>> p = [6802256107, 5017549029, 3745804973]
>>> preds[0] = p
Traceback (most recent call last):
File "<pyshell#13>", line 1, in <module>
preds[0] = p
OverflowError: Python int too large to convert to C long
However, this code works fine on my mac. Could anyone help explain why or give a solution for the code on windows? Thanks so much!
但是，此代码在我的 mac 上运行良好。任何人都可以帮助解释原因或为 Windows 上的代码提供解决方案吗？非常感谢！
采纳答案by Moses Koledoye
You'll get that error once your numbers are greater than sys.maxsize:
一旦您的数字大于 ，您就会收到该错误sys.maxsize：
>>> p = [sys.maxsize]
>>> preds[0] = p
>>> p = [sys.maxsize+1]
>>> preds[0] = p
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
OverflowError: Python int too large to convert to C long
You can confirm this by checking:
您可以通过检查来确认这一点：
>>> import sys
>>> sys.maxsize
2147483647
To take numbers with larger precision, don't pass an int type which uses a bounded C integer behind the scenes. Use the default float:
要获取更高精度的数字，请不要传递在幕后使用有界 C 整数的 int 类型。使用默认浮点数：
>>> preds = np.zeros((1, 3))
回答by sammy ongaya
You can use dtype=np.int64 instead of dtype=int
您可以使用 dtype=np.int64 而不是 dtype=int
回答by plugwash
Could anyone help explain why
谁能帮忙解释一下原因
In Python 2 a python "int" was equivalent to a C long. In Python 3 an "int" is an arbitrary precision type but numpy still uses "int" it to represent the C type "long" when creating arrays.
在 Python 2 中，python "int" 相当于 C long。在 Python 3 中，“int”是一种任意精度类型，但 numpy 在创建数组时仍然使用“int”来表示 C 类型“long”。
The size of a C long is platform dependent. On windows it is always 32-bit. On unix-like systems it is normally 32 bit on 32 bit systems and 64 bit on 64 bit systems.
C long 的大小取决于平台。在 Windows 上，它始终是 32 位。在类 Unix 系统上，通常在 32 位系统上为 32 位，在 64 位系统上为 64 位。
or give a solution for the code on windows? Thanks so much!
或为 Windows 上的代码提供解决方案？非常感谢！
Choose a data type whose size is not platform dependent. You can find the list at https://docs.scipy.org/doc/numpy/reference/arrays.scalars.html#arrays-scalars-built-inthe most sensible choice would probably be np.int64
选择大小与平台无关的数据类型。您可以在https://docs.scipy.org/doc/numpy/reference/arrays.scalars.html#arrays-scalars-built-in找到该列表， 最明智的选择可能是 np.int64
