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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
"""Different utilities for the numpy brains."""
from __future__ import annotations
from astroid.builder import extract_node
from astroid.context import InferenceContext
from astroid.nodes.node_classes import Attribute, Import, Name
# Class subscript is available in numpy starting with version 1.20.0
NUMPY_VERSION_TYPE_HINTS_SUPPORT = ("1", "20", "0")
def numpy_supports_type_hints() -> bool:
"""Returns True if numpy supports type hints."""
np_ver = _get_numpy_version()
return np_ver and np_ver > NUMPY_VERSION_TYPE_HINTS_SUPPORT
def _get_numpy_version() -> tuple[str, str, str]:
"""
Return the numpy version number if numpy can be imported.
Otherwise returns ('0', '0', '0')
"""
try:
import numpy # pylint: disable=import-outside-toplevel
return tuple(numpy.version.version.split("."))
except (ImportError, AttributeError):
return ("0", "0", "0")
def infer_numpy_member(src, node, context: InferenceContext | None = None):
node = extract_node(src)
return node.infer(context=context)
def _is_a_numpy_module(node: Name) -> bool:
"""
Returns True if the node is a representation of a numpy module.
For example in :
import numpy as np
x = np.linspace(1, 2)
The node <Name.np> is a representation of the numpy module.
:param node: node to test
:return: True if the node is a representation of the numpy module.
"""
module_nickname = node.name
potential_import_target = [
x for x in node.lookup(module_nickname)[1] if isinstance(x, Import)
]
return any(
("numpy", module_nickname) in target.names or ("numpy", None) in target.names
for target in potential_import_target
)
def name_looks_like_numpy_member(member_name: str, node: Name) -> bool:
"""
Returns True if the Name is a member of numpy whose
name is member_name.
"""
return node.name == member_name and node.root().name.startswith("numpy")
def attribute_looks_like_numpy_member(member_name: str, node: Attribute) -> bool:
"""
Returns True if the Attribute is a member of numpy whose
name is member_name.
"""
return (
node.attrname == member_name
and isinstance(node.expr, Name)
and _is_a_numpy_module(node.expr)
)
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