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00 - BugsprintableIssue fits the time-frame and setting of a sprintIssue fits the time-frame and setting of a sprint
Description
Describe the issue:
The numpy.trim_zeros documentation states that the axis argument may be an int or a sequence; however passing a sequence leads to an error.
Reproduce the code example:
In [1]: import numpy as np
In [2]: x = np.zeros((4, 4))
In [3]: x[1:3, 1:3] = 1
In [4]: np.trim_zeros(x, axis=(0, 1))---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[4], line 1
----> 1 np.trim_zeros(x, axis=(0, 1))
File ~/.local/share/virtualenvs/jax-LBbfM5ix/lib/python3.12/site-packages/numpy/lib/_function_base_impl.py:2002, in trim_zeros(filt, trim, axis)
1999 sl = tuple(slice(*x) for x in zip(start, stop))
2000 else:
2001 # only trim single axis
-> 2002 axis = normalize_axis_index(axis, filt_.ndim)
2003 sl = (slice(None),) * axis + (slice(start[axis], stop[axis]),) + (...,)
2005 trimmed = filt[sl]
TypeError: 'tuple' object cannot be interpreted as an integerPython and NumPy Versions:
>>> import sys, numpy; print(numpy.__version__); print(sys.version)
2.3.3
3.12.3 (v3.12.3:f6650f9ad7, Apr 9 2024, 08:18:47) [Clang 13.0.0 (clang-1300.0.29.30)]
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00 - BugsprintableIssue fits the time-frame and setting of a sprintIssue fits the time-frame and setting of a sprint