OpenML package fails to import if home directory is not writable #883
Description
Description
It looks like OpenML package is trying to write into an user home directory when it is imported. I think this is really not nice. Just importing a package should not have such a side effect. You should write only if there is a request for that.
This broke D3M build process now that we added the OpenML package as a dependency to d3m core package. :-(
Steps/Code to Reproduce
Create an user on your system which has /nonexitent as its home directory. That directory should not exist. Try import openml when running under such user.
Expected Results
Package loads.
Actual Results
It fails with:
File "/usr/local/lib/python3.6/dist-packages/openml/__init__.py", line 18, in <module>
from . import _api_calls
File "/usr/local/lib/python3.6/dist-packages/openml/_api_calls.py", line 8, in <module>
from . import config
File "/usr/local/lib/python3.6/dist-packages/openml/config.py", line 241, in <module>
_setup()
File "/usr/local/lib/python3.6/dist-packages/openml/config.py", line 133, in _setup
os.mkdir(os.path.expanduser(os.path.join('~', '.openml')))
FileNotFoundError: [Errno 2] No such file or directory: '/nonexistent/.openml'
Versions
>>> import platform; print(platform.platform())
Linux-5.0.0-32-generic-x86_64-with-Ubuntu-18.04-bionic
>>> import sys; print("Python", sys.version)
Python 3.6.8 (default, Oct 7 2019, 12:59:55)
[GCC 8.3.0]
>>> import numpy; print("NumPy", numpy.__version__)
NumPy 1.17.3
>>> import scipy; print("SciPy", scipy.__version__)
SciPy 1.3.1
>>> import sklearn; print("Scikit-Learn", sklearn.__version__)
Scikit-Learn 0.21.3
>>> import openml; print("OpenML", openml.__version__)
OpenML 0.10.1
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