Numpy version compatibility error: AttributeError: module 'numpy' has no attribute 'bool'.

[agstephens]

Hi @RosalynHatcher, on one of the JASMIN installations of the cfchecker, we saw this error:

(ingest_py3) [badc@ingest4 ~]$ cfchecks /badc/ecmwf-era-interim/data/gg/as/2019/01/01/ggas201901010000.nc
CHECKING NetCDF FILE: /badc/ecmwf-era-interim/data/gg/as/2019/01/01/ggas201901010000.nc
=====================
Using CF Checker Version 4.1.0
Checking against CF Version CF-1.8
Using Standard Name Table Version 81 (2023-04-25T10:43:33Z)
Using Area Type Table Version 10 (23 June 2020)
Using Standardized Region Name Table Version 4 (18 December 2018)

WARN: (2.6.1): No 'Conventions' attribute present

------------------
Checking variable: longitude
------------------
Traceback (most recent call last):
  File "/home/badc/miniconda3/envs/ingest_py3/bin/cfchecks", line 8, in <module>
    sys.exit(main())
  File "/home/badc/miniconda3/envs/ingest_py3/lib/python3.8/site-packages/cfchecker/cfchecks.py", line 3402, in main
    inst.checker(file)
  File "/home/badc/miniconda3/envs/ingest_py3/lib/python3.8/site-packages/cfchecker/cfchecks.py", line 531, in checker
    return self._checker()
  File "/home/badc/miniconda3/envs/ingest_py3/lib/python3.8/site-packages/cfchecker/cfchecks.py", line 814, in _checker
    self.chkValuesMonotonic(var)
  File "/home/badc/miniconda3/envs/ingest_py3/lib/python3.8/site-packages/cfchecker/cfchecks.py", line 3257, in chkValuesMonotonic
    values = self.f.variables[varName][:]
  File "netCDF4/_netCDF4.pyx", line 4492, in netCDF4._netCDF4.Variable.__getitem__
  File "netCDF4/_netCDF4.pyx", line 4559, in netCDF4._netCDF4.Variable._toma
  File "/home/badc/miniconda3/envs/ingest_py3/lib/python3.8/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any be scalar type, use `np.bool_` here.
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

This version of numpy works fine: 1.22.4
This version of numpy was incompatible: 1.24.4

[RosalynHatcher]

Thanks @agstephens
I'll take a look when I'm back from leave next week.