ꦫꦣꦺꦤ꧀ꦄꦤ꧀ꦠꦱꦺꦤ

PATH: opt / cloudlinux / venv / lib / python3.11 / site-packages / astroid / brain

# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/main/LICENSE
# Copyright (c) https://github.com/PyCQA/astroid/blob/main/CONTRIBUTORS.txt

from __future__ import annotations

import random

from astroid import helpers
from astroid.context import InferenceContext
from astroid.exceptions import UseInferenceDefault
from astroid.inference_tip import inference_tip
from astroid.manager import AstroidManager
from astroid.nodes.node_classes import (
    Attribute,
    Call,
    Const,
    EvaluatedObject,
    List,
    Name,
    Set,
    Tuple,
)

ACCEPTED_ITERABLES_FOR_SAMPLE = (List, Set, Tuple)

def _clone_node_with_lineno(node, parent, lineno):
    if isinstance(node, EvaluatedObject):
        node = node.original
    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: InferenceContext | None = None):
    if len(node.args) != 2:
        raise UseInferenceDefault

inferred_length = helpers.safe_infer(node.args[1], context=context)
    if not isinstance(inferred_length, Const):
        raise UseInferenceDefault
    if not isinstance(inferred_length.value, int):
        raise UseInferenceDefault

inferred_sequence = helpers.safe_infer(node.args[0], context=context)
    if not inferred_sequence:
        raise UseInferenceDefault

if not isinstance(inferred_sequence, ACCEPTED_ITERABLES_FOR_SAMPLE):
        raise UseInferenceDefault

if inferred_length.value > len(inferred_sequence.elts):
        # In this case, this will raise a ValueError
        raise UseInferenceDefault

try:
        elts = random.sample(inferred_sequence.elts, inferred_length.value)
    except ValueError as exc:
        raise UseInferenceDefault from exc

new_node = 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) -> bool:
    func = node.func
    if isinstance(func, Attribute):
        return func.attrname == "sample"
    if isinstance(func, Name):
        return func.name == "sample"
    return False

AstroidManager().register_transform(
    Call, inference_tip(infer_random_sample), _looks_like_random_sample
)

[-] brain_regex.py [open]
[-] brain_typing.py [open]
[-] brain_unittest.py [open]
[-] brain_type.py [open]
[+] ..
[-] brain_collections.py [open]
[+] __pycache__
[-] brain_hypothesis.py [open]
[-] brain_dateutil.py [open]
[-] brain_io.py [open]
[-] brain_random.py [open]
[-] brain_crypt.py [open]
[-] brain_numpy_core_fromnumeric.py [open]
[-] brain_subprocess.py [open]
[-] brain_numpy_core_numerictypes.py [open]
[-] brain_six.py [open]
[-] brain_numpy_utils.py [open]
[-] brain_qt.py [open]
[-] brain_hashlib.py [open]
[-] brain_curses.py [open]
[-] brain_numpy_core_umath.py [open]
[-] brain_scipy_signal.py [open]
[-] brain_numpy_ndarray.py [open]
[-] brain_mechanize.py [open]
[-] brain_numpy_core_multiarray.py [open]
[-] brain_numpy_core_numeric.py [open]
[-] brain_signal.py [open]
[-] brain_dataclasses.py [open]
[-] brain_namedtuple_enum.py [open]
[-] brain_argparse.py [open]
[-] brain_ctypes.py [open]
[-] helpers.py [open]
[-] brain_pytest.py [open]
[-] brain_numpy_ma.py [open]
[-] brain_functools.py [open]
[-] brain_nose.py [open]
[-] brain_attrs.py [open]
[-] brain_pkg_resources.py [open]
[-] brain_numpy_random_mtrand.py [open]
[-] brain_ssl.py [open]
[-] brain_re.py [open]
[-] brain_builtin_inference.py [open]
[-] brain_numpy_core_function_base.py [open]
[-] __init__.py [open]
[-] brain_uuid.py [open]
[-] brain_sqlalchemy.py [open]
[-] brain_threading.py [open]
[-] brain_pathlib.py [open]
[-] brain_fstrings.py [open]
[-] brain_responses.py [open]
[-] brain_multiprocessing.py [open]
[-] brain_numpy_core_einsumfunc.py [open]
[-] brain_boto3.py [open]
[-] brain_http.py [open]
[-] brain_gi.py [open]