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ToFuProject / tofu

Project for an open-source python library for synthetic diagnostics and tomography for Fusion devices
https://tofuproject.github.io/tofu/index.html
MIT License
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np.int within imas2tofu #983

Open tbarbui opened 2 weeks ago

tbarbui commented 2 weeks ago

Hello, I'm using tofu 1.7.8 with python 3.9 and numpy 1.26.3 on the IRFM server. I get the following error when running imas2tofu.MultiIDSLoader:

multi = tf.imas2tofu.MultiIDSLoader(
    ...:        shot=shot,
    ...:         run=0,
    ...:         occ=0,
    ...:         user='imas_public',
    ...:         database='west',
    ...:         ids='equilibrium',
    ...:         ids_base=False,
    ...: )
Traceback (most recent call last):

  File "/tmp/ipykernel_26636/3842544739.py", line 1, in <cell line: 1>
    multi = tf.imas2tofu.MultiIDSLoader(

  File "/Applications/software/mamba/envs/python39/lib/python3.9/site-packages/tofu/imas2tofu/_core.py", line 280, in __init__
    self.add_ids(

  File "/Applications/software/mamba/envs/python39/lib/python3.9/site-packages/tofu/imas2tofu/_core.py", line 1309, in add_ids
    dids = self._checkformat_ids(ids, occ=occ, idd=idd, isget=isget)

  File "/Applications/software/mamba/envs/python39/lib/python3.9/site-packages/tofu/imas2tofu/_core.py", line 1204, in _checkformat_ids
    lc = [type(occ) in [int, np.int], hasattr(occ, '__iter__')]

  File "/Applications/software/mamba/envs/python39/lib/python3.9/site-packages/numpy/__init__.py", line 324, 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