NumPy legacy bug -- AttributeError: module 'numpy' has no attribute 'int'

[o-nate]

For a few functions, mainly related to CWT, I get the error below about the use of np.int. When I adjust the fft_kwargs in helpers.py, updating to np.int64 (an arbitrary choice, as opposed to np.int32), the bug resolves. I see that np.int is also used in cwt and wct functions (wavelet.py) and the smooth method of the Morlet class (mothers.py).

This seems like a pretty quick fix. I'm happy to open a pull request myself!

  File "..\anaconda3\envs\wavelet-dashboard\lib\site-packages\pycwt\wavelet.py", line 91, in cwt
    signal_ft = fft.fft(signal, **fft_kwargs(signal))
  File "..\anaconda3\envs\wavelet-dashboard\lib\site-packages\pycwt\helpers.py", line 30, in fft_kwargs
    return {'n': np.int(2 ** np.ceil(np.log2(len(signal))))}
  File "..\anaconda3\envs\wavelet-dashboard\lib\site-packages\numpy\__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'int'.
`np.int` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for 
additional information.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'inf'?

[o-nate]

I found that there actually was a fix to this implemented already, but it is not updated in the version currently available via Conda it appears.