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Name	Size	Permission
__pycache__	[ DIR ]	drwxr-xr-x
brain_argparse.py	1 KB	-rw-r--r--
brain_attrs.py	1.86 KB	-rw-r--r--
brain_builtin_inference.py	26.28 KB	-rw-r--r--
brain_collections.py	2.76 KB	-rw-r--r--
brain_curses.py	3.23 KB	-rw-r--r--
brain_dateutil.py	795 B	-rw-r--r--
brain_fstrings.py	2.07 KB	-rw-r--r--
brain_functools.py	6.16 KB	-rw-r--r--
brain_gi.py	6.65 KB	-rw-r--r--
brain_hashlib.py	2.11 KB	-rw-r--r--
brain_io.py	1.44 KB	-rw-r--r--
brain_mechanize.py	889 B	-rw-r--r--
brain_multiprocessing.py	3.04 KB	-rw-r--r--
brain_namedtuple_enum.py	13.7 KB	-rw-r--r--
brain_nose.py	2.16 KB	-rw-r--r--
brain_numpy.py	14.44 KB	-rw-r--r--
brain_pkg_resources.py	2.21 KB	-rw-r--r--
brain_pytest.py	2.33 KB	-rw-r--r--
brain_qt.py	2.38 KB	-rw-r--r--
brain_random.py	2.38 KB	-rw-r--r--
brain_re.py	1.1 KB	-rw-r--r--
brain_six.py	6 KB	-rw-r--r--
brain_ssl.py	3.47 KB	-rw-r--r--
brain_subprocess.py	3.55 KB	-rw-r--r--
brain_threading.py	767 B	-rw-r--r--
brain_typing.py	2.66 KB	-rw-r--r--
brain_uuid.py	564 B	-rw-r--r--

Code Editor : brain_random.py

# 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
)

${this.title}

Code Editor : brain_random.py