Merge pull request #63 from brenda-br/Fix-35HEADmaster

Restructure Project and Deployment

1 files changed, 0 insertions, 75 deletions

diff --git a/venv/Lib/site-packages/astroid/brain/brain_random.py b/venv/Lib/site-packages/astroid/brain/brain_random.py
deleted file mode 100644
index 5ec858a..0000000
--- a/venv/Lib/site-packages/astroid/brain/brain_random.py
+++ /dev/null
@@ -1,75 +0,0 @@
-# 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
-import random
-
-import astroid
-from astroid import helpers
-from astroid import MANAGER
-
-
-ACCEPTED_ITERABLES_FOR_SAMPLE = (astroid.List, astroid.Set, astroid.Tuple)
-
-
-def _clone_node_with_lineno(node, parent, lineno):
-    cls = node.__class__
-    other_fields = node._other_fields
-    _astroid_fields = node._astroid_fields
-    init_params = {"lineno": lineno, "col_offset": node.col_offset, "parent": parent}
-    postinit_params = {param: getattr(node, param) for param in _astroid_fields}
-    if other_fields:
-        init_params.update({param: getattr(node, param) for param in other_fields})
-    new_node = cls(**init_params)
-    if hasattr(node, "postinit") and _astroid_fields:
-        new_node.postinit(**postinit_params)
-    return new_node
-
-
-def infer_random_sample(node, context=None):
-    if len(node.args) != 2:
-        raise astroid.UseInferenceDefault
-
-    length = node.args[1]
-    if not isinstance(length, astroid.Const):
-        raise astroid.UseInferenceDefault
-    if not isinstance(length.value, int):
-        raise astroid.UseInferenceDefault
-
-    inferred_sequence = helpers.safe_infer(node.args[0], context=context)
-    if not inferred_sequence:
-        raise astroid.UseInferenceDefault
-
-    if not isinstance(inferred_sequence, ACCEPTED_ITERABLES_FOR_SAMPLE):
-        raise astroid.UseInferenceDefault
-
-    if length.value > len(inferred_sequence.elts):
-        # In this case, this will raise a ValueError
-        raise astroid.UseInferenceDefault
-
-    try:
-        elts = random.sample(inferred_sequence.elts, length.value)
-    except ValueError:
-        raise astroid.UseInferenceDefault
-
-    new_node = astroid.List(
-        lineno=node.lineno, col_offset=node.col_offset, parent=node.scope()
-    )
-    new_elts = [
-        _clone_node_with_lineno(elt, parent=new_node, lineno=new_node.lineno)
-        for elt in elts
-    ]
-    new_node.postinit(new_elts)
-    return iter((new_node,))
-
-
-def _looks_like_random_sample(node):
-    func = node.func
-    if isinstance(func, astroid.Attribute):
-        return func.attrname == "sample"
-    if isinstance(func, astroid.Name):
-        return func.name == "sample"
-    return False
-
-
-MANAGER.register_transform(
-    astroid.Call, astroid.inference_tip(infer_random_sample), _looks_like_random_sample
-)