I have a piece of code runs fine on an conda environment with just xarray. But when I add numba then the code crashes

What happened:

Abnormal process termination (eg Process finished with exit code -1073741819 (0xC0000005))

What you expected to happen:

should calculate the max of the data (same as before transposing)

Minimal Complete Verifiable Example:

```python from collections import OrderedDict

import numpy as np import xarray as xr

Build some dataset

dirs = np.linspace(0,360, num=121) freqs = np.linspace(0,4,num=192) spec_data = np.random.random(size=(192,121)) data = [spec_data]

dims = ('time', 'freq', 'dir') coords = OrderedDict() coords['time'] = [0,] coords['freq'] = freqs coords['dir'] = dirs

print('constructing data-array')

xdata = xr.DataArray( data=data, coords=coords, dims=dims, name='Spec name', ).to_dataset()

print('transposing data-array')

print('getting max')

print(xdata.max()) # works fine

tdata = xdata.transpose(..., "freq")

print('getting max')

print(tdata.max()) # <==== Process finished with exit code -1073741819 (0xC0000005) print('done!') ```

Anything else we need to know?:

Running on windows 10 x64 Python 3.10 but also occurs with 3.8 and 3.9 (did not test any others)

Environment:

When I create an environment with ONLY xarray then everything works as expected:

This environment WORKS

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.10.0 | packaged by conda-forge | (default, Oct 12 2021, 21:17:52) [MSC v.1916 64 bit (AMD64)] python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: AMD64 Family 23 Model 96 Stepping 1, AuthenticAMD byteorder: little LC_ALL: None LANG: None LOCALE: English_United States.1252 libhdf5: None libnetcdf: None xarray: 0.18.0 pandas: 1.3.4 numpy: 1.21.4 scipy: None netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: None cartopy: None seaborn: None numbagg: None pint: None setuptools: 59.1.1 pip: 21.3.1 conda: None pytest: None IPython: None sphinx: None

But when I add numba then it fails:

Output of

INSTALLED VERSIONS ------------------ commit: None python: 3.9.7 (default, Sep 16 2021, 16:59:28) [MSC v.1916 64 bit (AMD64)] python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: AMD64 Family 23 Model 96 Stepping 1, AuthenticAMD byteorder: little LC_ALL: None LANG: None LOCALE: ('English_United States', '1252') libhdf5: None libnetcdf: None xarray: 0.20.1 pandas: 1.3.4 numpy: 1.20.3 scipy: None netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.2 dask: None distributed: None matplotlib: None cartopy: None seaborn: None numbagg: None fsspec: None cupy: None pint: None sparse: None setuptools: 59.1.1 pip: 21.3.1 conda: None pytest: None IPython: None sphinx: None --- conda output --- # packages in environment at c:\python\miniconda3\envs\ws: # # Name Version Build Channel blas 1.0 mkl bottleneck 1.3.2 py39h7cc1a96_1 ca-certificates 2021.10.26 haa95532_2 importlib-metadata 4.8.2 py39hcbf5309_0 conda-forge importlib_metadata 4.8.2 hd8ed1ab_0 conda-forge intel-openmp 2021.4.0 haa95532_3556 llvmlite 0.37.0 py39h23ce68f_1 mkl 2021.4.0 haa95532_640 mkl-service 2.4.0 py39h2bbff1b_0 mkl_fft 1.3.1 py39h277e83a_0 mkl_random 1.2.2 py39hf11a4ad_0 numba 0.54.1 py39hf11a4ad_0 numexpr 2.7.3 py39hb80d3ca_1 numpy 1.20.3 py39ha4e8547_0 numpy-base 1.20.3 py39hc2deb75_0 openssl 1.1.1l h2bbff1b_0 pandas 1.3.4 py39h6214cd6_0 pip 21.3.1 pyhd8ed1ab_0 conda-forge python 3.9.7 h6244533_1 python-dateutil 2.8.2 pyhd3eb1b0_0 python_abi 3.9 2_cp39 conda-forge pytz 2021.3 pyhd3eb1b0_0 setuptools 59.1.1 py39hcbf5309_0 conda-forge six 1.16.0 pyhd3eb1b0_0 sqlite 3.36.0 h2bbff1b_0 tbb 2021.4.0 h59b6b97_0 typing_extensions 4.0.0 pyha770c72_0 conda-forge tzdata 2021e hda174b7_0 ucrt 10.0.20348.0 h57928b3_0 conda-forge vc 14.2 h21ff451_1 vs2015_runtime 14.29.30037 h902a5da_5 conda-forge wheel 0.37.0 pyhd3eb1b0_1 xarray 0.20.1 pyhd8ed1ab_0 conda-forge zipp 3.6.0 pyhd3eb1b0_0 zlib 1.2.11 h62dcd97_4