Common causes
- Passing a very large Python int to a numpy, struct, or ctypes function that expects a fixed-size integer
- A timestamp, ID, or counter exceeded the bounds of a 32-bit or 64-bit C integer
- Calculations involving factorials or exponentials produced astronomically large numbers
- Using math functions from the C standard library which have overflow limits
How to fix it
- Use numpy's appropriate dtype: np.int64(value) or check the dtype limits
- Reduce the value to a manageable range before passing it to C-backed functions
- For very large integer math, use Python's decimal module or keep values as Python ints
- Check input data for unexpectedly large values: print(value, type(value))
Example
Traceback (most recent call last):
File "app.py", line 3, in <module>
result = math.factorial(10000)
File "<...>/math.py", line 1, in factorial
OverflowError: Python int too large to convert to C longPassing the result of a large factorial to a C-backed math function that can't handle numbers that large
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