diff options
Diffstat (limited to 'venv/Lib/site-packages/astroid/brain/brain_random.py')
-rw-r--r-- | venv/Lib/site-packages/astroid/brain/brain_random.py | 75 |
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 -) |