PATH: //opt/cloudlinux/venv/lib/python3.11/site-packages/astroid/brain
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[ .. KEMBALI ]
📄 __init__.py
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📁 __pycache__/
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📄 brain_argparse.py
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📄 brain_attrs.py
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📄 brain_boto3.py
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📄 brain_builtin_inference.py
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📄 brain_collections.py
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📄 brain_crypt.py
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📄 brain_ctypes.py
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📄 brain_curses.py
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📄 brain_dataclasses.py
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📄 brain_dateutil.py
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📄 brain_fstrings.py
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📄 brain_functools.py
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📄 brain_gi.py
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📄 brain_hashlib.py
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📄 brain_http.py
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📄 brain_hypothesis.py
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📄 brain_io.py
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📄 brain_mechanize.py
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📄 brain_multiprocessing.py
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📄 brain_namedtuple_enum.py
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📄 brain_nose.py
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📄 brain_numpy_core_einsumfunc.py
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📄 brain_numpy_core_fromnumeric.py
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📄 brain_numpy_core_function_base.py
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📄 brain_numpy_core_multiarray.py
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📄 brain_numpy_core_numeric.py
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📄 brain_numpy_core_numerictypes.py
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📄 brain_numpy_core_umath.py
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📄 brain_numpy_ma.py
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📄 brain_numpy_ndarray.py
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📄 brain_numpy_random_mtrand.py
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📄 brain_numpy_utils.py
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📄 brain_pathlib.py
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📄 brain_pkg_resources.py
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📄 brain_pytest.py
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📄 brain_qt.py
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📄 brain_random.py
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📄 brain_re.py
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📄 brain_regex.py
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📄 brain_responses.py
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📄 brain_scipy_signal.py
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📄 brain_signal.py
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📄 brain_six.py
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📄 brain_sqlalchemy.py
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📄 brain_ssl.py
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📄 brain_subprocess.py
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📄 brain_threading.py
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📄 brain_type.py
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📄 brain_typing.py
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📄 brain_unittest.py
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📄 brain_uuid.py
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📄 helpers.py
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SAVING...
BERHASIL DIUBAH!
EDITING: brain_numpy_core_function_base.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/main/LICENSE # Copyright (c) https://github.com/PyCQA/astroid/blob/main/CONTRIBUTORS.txt """Astroid hooks for numpy.core.function_base module.""" import functools from astroid.brain.brain_numpy_utils import infer_numpy_member, looks_like_numpy_member from astroid.inference_tip import inference_tip from astroid.manager import AstroidManager from astroid.nodes.node_classes import Attribute METHODS_TO_BE_INFERRED = { "linspace": """def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0): return numpy.ndarray([0, 0])""", "logspace": """def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0): return numpy.ndarray([0, 0])""", "geomspace": """def geomspace(start, stop, num=50, endpoint=True, dtype=None, axis=0): return numpy.ndarray([0, 0])""", } for func_name, func_src in METHODS_TO_BE_INFERRED.items(): inference_function = functools.partial(infer_numpy_member, func_src) AstroidManager().register_transform( Attribute, inference_tip(inference_function), functools.partial(looks_like_numpy_member, func_name), )
SIMPAN PERUBAHAN