Some numpy top-level funcs are not ignored even with ignored-modules=numpy set

[igozali]

Steps to reproduce

1. Create pylintrc file with the following content

[TYPECHECK]
ignored-modules=numpy

2. Create test.py

import numpy as np
xs = np.array([1, 1, 2])
np.unique(xs, return_index=False)

3. Run pylint:

pylint --rcfile=./pylintrc -E test.py

Current behavior

igozali@abcdef $ pylint --rcfile=./pylintrc -E test.py
************* Module test
test.py:3:0: E1123: Unexpected keyword argument 'return_index' in function call (unexpected-keyword-arg)

Expected behavior

No errors since the module numpy is supposed to be ignored.

pylint --version output

igozali@abcdef $ pylint --version
pylint 2.5.3
astroid 2.4.2
Python 3.6.4 |Anaconda, Inc.| (default, Mar 13 2018, 01:15:57)

[igozali]

Checked preview versions and didn't find any newer ones than the above version.

Seems related? #3135

Also the generated-members trick didn't help since np.unique isn't generated...

[igozali]

Another data point, downgrading to pylint==2.3 seems to make it work.

[AWhetter]

ignored-modules will disable member checks on the module. It does not disable all checks associated with that module.
This looks like an issue with pylint not being able to understand that np.unique() takes a return_index keyword argument. This is already covered in #3825 so I'm closing in favour of that issue instead.