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# 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
from __future__ import annotations
import pytest
from astroid import builder, nodes
try:
import numpy # pylint: disable=unused-import
HAS_NUMPY = True
except ImportError:
HAS_NUMPY = False
def _inferred_numpy_func_call(func_name: str, *func_args: str) -> nodes.FunctionDef:
node = builder.extract_node(
f"""
import numpy as np
func = np.{func_name:s}
func({','.join(func_args):s})
"""
)
return node.infer()
@pytest.mark.skipif(not HAS_NUMPY, reason="This test requires the numpy library.")
def test_numpy_function_calls_inferred_as_ndarray() -> None:
"""Test that calls to numpy functions are inferred as numpy.ndarray."""
method = "einsum"
inferred_values = list(
_inferred_numpy_func_call(method, "ii, np.arange(25).reshape(5, 5)")
)
assert len(inferred_values) == 1, f"Too much inferred value for {method:s}"
assert (
inferred_values[-1].pytype() == ".ndarray"
), f"Illicit type for {method:s} ({inferred_values[-1].pytype()})"
@pytest.mark.skipif(not HAS_NUMPY, reason="This test requires the numpy library.")
def test_function_parameters() -> None:
instance = builder.extract_node(
"""
import numpy
numpy.einsum #@
"""
)
actual_args = instance.inferred()[0].args
assert actual_args.vararg == "operands"
assert [arg.name for arg in actual_args.kwonlyargs] == ["out", "optimize"]
assert actual_args.kwarg == "kwargs"
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