I think np.allclose is causing issues related to overflow when comparing very large integers. In a recent project, I was trying to compare Fibonacci numbers and started experiencing issues around fib(94), which throws a TypeError when compared with numpy and thus results in check_values_equal returning False.
>>> np.isclose(19740274219868223167, 19740274219868223167)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<__array_function__ internals>", line 5, in isclose
File "C:\Users\v-chpyles\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\numpy\core\numeric.py", line 2355, in isclose
xfin = isfinite(x)
TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
I think np.allclose is causing issues related to overflow when comparing very large integers. In a recent project, I was trying to compare Fibonacci numbers and started experiencing issues around
fib(94)
, which throws aTypeError
when compared with numpy and thus results incheck_values_equal
returningFalse
.