blob: 1d78257d3060bd43301394fd8c2abde62fe49fa9 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
|
# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/pylint-dev/astroid/blob/main/LICENSE
# Copyright (c) https://github.com/pylint-dev/astroid/blob/main/CONTRIBUTORS.txt
import unittest
try:
import numpy # pylint: disable=unused-import
HAS_NUMPY = True
except ImportError:
HAS_NUMPY = False
from astroid import builder
@unittest.skipUnless(HAS_NUMPY, "This test requires the numpy library.")
class BrainNumpyCoreFromNumericTest(unittest.TestCase):
"""Test the numpy core fromnumeric brain module."""
numpy_functions = (("sum", "[1, 2]"),)
def _inferred_numpy_func_call(self, func_name, *func_args):
node = builder.extract_node(
f"""
import numpy as np
func = np.{func_name:s}
func({','.join(func_args):s})
"""
)
return node.infer()
def test_numpy_function_calls_inferred_as_ndarray(self):
"""Test that calls to numpy functions are inferred as numpy.ndarray."""
licit_array_types = (".ndarray",)
for func_ in self.numpy_functions:
with self.subTest(typ=func_):
inferred_values = list(self._inferred_numpy_func_call(*func_))
self.assertTrue(
len(inferred_values) == 1,
msg=f"Too much inferred value for {func_[0]:s}",
)
self.assertTrue(
inferred_values[-1].pytype() in licit_array_types,
msg=f"Illicit type for {func_[0]:s} ({inferred_values[-1].pytype()})",
)
|
