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authorlucaszhao192020-02-05 18:02:20 +0530
committerlucaszhao192020-02-05 18:02:20 +0530
commitae7090629a8beae3064eee7128856d5d3aeaa604 (patch)
tree939eedc5d96fd17bc5af34bde6524d3e4b3a7cfa /venv/Lib/site-packages/astroid/brain/brain_numpy_utils.py
parent38dbff48f57c403abdc575a9cd9d0bbf512bfef6 (diff)
parent190966e010e321e4df56d40104ec80467a870e53 (diff)
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Revamped and merged Input/Results DockWidgets, Newly implemented variables for MaterialStream and four UnitOps
Diffstat (limited to 'venv/Lib/site-packages/astroid/brain/brain_numpy_utils.py')
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+# Copyright (c) 2018-2019 hippo91 <guillaume.peillex@gmail.com>
+
+# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
+# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
+
+
+"""Different utilities for the numpy brains"""
+
+
+import astroid
+
+
+def infer_numpy_member(src, node, context=None):
+ node = astroid.extract_node(src)
+ return node.infer(context=context)
+
+
+def _is_a_numpy_module(node: astroid.node_classes.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, astroid.Import)
+ ]
+ for target in potential_import_target:
+ if ("numpy", module_nickname) in target.names:
+ return True
+ return False
+
+
+def looks_like_numpy_member(
+ member_name: str, node: astroid.node_classes.NodeNG
+) -> bool:
+ """
+ Returns True if the node is a member of numpy whose
+ name is member_name.
+
+ :param member_name: name of the member
+ :param node: node to test
+ :return: True if the node is a member of numpy
+ """
+ return (
+ isinstance(node, astroid.Attribute)
+ and node.attrname == member_name
+ and isinstance(node.expr, astroid.Name)
+ and _is_a_numpy_module(node.expr)
+ )