Add missing shape parameter to numpy methods (#1450)

Closes pylint-dev/pylint#5871

Co-authored-by: Daniël van Noord <13665637+DanielNoord@users.noreply.github.com>
Co-authored-by: Marc Mueller <30130371+cdce8p@users.noreply.github.com>

ChangeLog

@@ -27,6 +27,11 @@ Release date: TBA
   to unexpected errors. Overwriting them with ``None`` will cause a fallback
   to the already supported way of PyPy 3.7.
 
+* Add missing ``shape`` parameter to numpy ``zeros_like``, ``ones_like``,
+  and ``full_like`` methods.
+
+  Closes PyCQA/pylint#5871
+
 
 What's New in astroid 2.10.1?
 =============================

astroid/brain/brain_numpy_core_numeric.py

@@ -24,9 +24,9 @@ def numpy_core_numeric_transform():
         """
     # different functions defined in numeric.py
     import numpy
-    def zeros_like(a, dtype=None, order='K', subok=True): return numpy.ndarray((0, 0))
-    def ones_like(a, dtype=None, order='K', subok=True): return numpy.ndarray((0, 0))
-    def full_like(a, fill_value, dtype=None, order='K', subok=True): return numpy.ndarray((0, 0))
+    def zeros_like(a, dtype=None, order='K', subok=True, shape=None): return numpy.ndarray((0, 0))
+    def ones_like(a, dtype=None, order='K', subok=True, shape=None): return numpy.ndarray((0, 0))
+    def full_like(a, fill_value, dtype=None, order='K', subok=True, shape=None): return numpy.ndarray((0, 0))
         """
     )
 

requirements_test_brain.txt

@@ -1,7 +1,7 @@
 attrs
 types-attrs
 nose
-numpy
+numpy>=1.17.0
 python-dateutil
 types-python-dateutil
 six

tests/unittest_brain_numpy_core_numeric.py

@@ -7,7 +7,11 @@
 
 # Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
 # For details: https://github.com/PyCQA/astroid/blob/main/LICENSE
+
 import unittest
+from typing import List
+
+import pytest
 
 try:
     import numpy  # pylint: disable=unused-import
@@ -62,5 +66,26 @@ def test_numpy_function_calls_inferred_as_ndarray(self):
                 )
 
 
+@pytest.mark.skipif(not HAS_NUMPY, reason="This test requires the numpy library.")
+@pytest.mark.parametrize(
+    "method, expected_args",
+    [
+        ("zeros_like", ["a", "dtype", "order", "subok", "shape"]),
+        ("full_like", ["a", "fill_value", "dtype", "order", "subok", "shape"]),
+        ("ones_like", ["a", "dtype", "order", "subok", "shape"]),
+        ("ones", ["shape", "dtype", "order"]),
+    ],
+)
+def test_function_parameters(method: str, expected_args: List[str]) -> None:
+    instance = builder.extract_node(
+        f"""
+    import numpy
+    numpy.{method} #@
+    """
+    )
+    actual_args = instance.inferred()[0].args.args
+    assert [arg.name for arg in actual_args] == expected_args
+
+
 if __name__ == "__main__":
     unittest.main()