PATH: //opt/cloudlinux/venv/lib64/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_scipy_signal.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 scipy.signal module.""" from astroid.brain.helpers import register_module_extender from astroid.builder import parse from astroid.manager import AstroidManager def scipy_signal(): return parse( """ # different functions defined in scipy.signals def barthann(M, sym=True): return numpy.ndarray([0]) def bartlett(M, sym=True): return numpy.ndarray([0]) def blackman(M, sym=True): return numpy.ndarray([0]) def blackmanharris(M, sym=True): return numpy.ndarray([0]) def bohman(M, sym=True): return numpy.ndarray([0]) def boxcar(M, sym=True): return numpy.ndarray([0]) def chebwin(M, at, sym=True): return numpy.ndarray([0]) def cosine(M, sym=True): return numpy.ndarray([0]) def exponential(M, center=None, tau=1.0, sym=True): return numpy.ndarray([0]) def flattop(M, sym=True): return numpy.ndarray([0]) def gaussian(M, std, sym=True): return numpy.ndarray([0]) def general_gaussian(M, p, sig, sym=True): return numpy.ndarray([0]) def hamming(M, sym=True): return numpy.ndarray([0]) def hann(M, sym=True): return numpy.ndarray([0]) def hanning(M, sym=True): return numpy.ndarray([0]) def impulse2(system, X0=None, T=None, N=None, **kwargs): return numpy.ndarray([0]), numpy.ndarray([0]) def kaiser(M, beta, sym=True): return numpy.ndarray([0]) def nuttall(M, sym=True): return numpy.ndarray([0]) def parzen(M, sym=True): return numpy.ndarray([0]) def slepian(M, width, sym=True): return numpy.ndarray([0]) def step2(system, X0=None, T=None, N=None, **kwargs): return numpy.ndarray([0]), numpy.ndarray([0]) def triang(M, sym=True): return numpy.ndarray([0]) def tukey(M, alpha=0.5, sym=True): return numpy.ndarray([0]) """ ) register_module_extender(AstroidManager(), "scipy.signal", scipy_signal)
SIMPAN PERUBAHAN