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Numpy reshape shape to use * #1999

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@clavedeluna clavedeluna commented Jan 31, 2023

Type of Changes

Type
βœ“ πŸ› Bug fix

Description

Closes pylint-dev/pylint#7883

Pylint issue demonstrates a FP. I think this is the right solution, I also tested with this code and made sure pylint no longer showed the messages.

import numpy as np
x = np.zeros(12)
x.reshape(3, 2, 2)
x.reshape((3, 2))
x.reshape(3, 2, 2, order='F')
x.reshape(3, 2, 2, order='F')
x.reshape((3, 2, 2), order='F')

a = np.arange(6).reshape((3, 2))

x.reshape(a, order='F')

np.reshape(a, (2, 3))

np.reshape(a, 6, order='F')

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I'm not really sure a unit test is needed here but if it does please let me know and hit to where it should be.

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codecov bot commented Jan 31, 2023

Codecov Report

Merging #1999 (734e90b) into main (943cd49) will not change coverage.
The diff coverage is n/a.

Additional details and impacted files

Impacted file tree graph

@@           Coverage Diff           @@
##             main    #1999   +/-   ##
=======================================
  Coverage   92.77%   92.77%           
=======================================
  Files          94       94           
  Lines       10931    10931           
=======================================
  Hits        10141    10141           
  Misses        790      790           
Flag Coverage Ξ”
linux 92.53% <ΓΈ> (ΓΈ)
pypy 88.50% <ΓΈ> (ΓΈ)
windows 92.37% <ΓΈ> (ΓΈ)

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files Coverage Ξ”
astroid/brain/brain_numpy_ndarray.py 100.00% <ΓΈ> (ΓΈ)

@clavedeluna clavedeluna added the pylint-tested PRs that don't cause major regressions with pylint label Jan 31, 2023
@clavedeluna clavedeluna requested a review from cdce8p January 31, 2023 15:54
@@ -120,7 +120,7 @@ def ptp(self, axis=None, out=None): return np.ndarray([0, 0])
def put(self, indices, values, mode='raise'): return None
def ravel(self, order='C'): return np.ndarray([0, 0])
def repeat(self, repeats, axis=None): return np.ndarray([0, 0])
def reshape(self, shape, order='C'): return np.ndarray([0, 0])
def reshape(self, *shape, order='C'): return np.ndarray([0, 0])
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https://github.com/numpy/numpy/blob/9d7dca4596d7aeb8f31a261592a33d3b38b93b5f/numpy/__init__.pyi#L1767-L1774

The actual code is a bit different.. I'm not sure how to express this as it feels like we might run into issues with the other form as well..

@cdce8p cdce8p removed their request for review March 9, 2023 11:23
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We install numpy during tests now, so it's possible to add automated tests for this (the example in the description at least).

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False positive when using ndarray.reshape with separate arguments for each element of the shape
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