90 lines
2.3 KiB
Python
90 lines
2.3 KiB
Python
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# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
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# For details: https://github.com/pylint-dev/astroid/blob/main/LICENSE
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# Copyright (c) https://github.com/pylint-dev/astroid/blob/main/CONTRIBUTORS.txt
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"""Astroid hooks for scipy.signal module."""
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from astroid.brain.helpers import register_module_extender
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from astroid.builder import parse
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from astroid.manager import AstroidManager
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def scipy_signal():
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return parse(
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"""
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# different functions defined in scipy.signals
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def barthann(M, sym=True):
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return numpy.ndarray([0])
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def bartlett(M, sym=True):
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return numpy.ndarray([0])
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def blackman(M, sym=True):
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return numpy.ndarray([0])
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def blackmanharris(M, sym=True):
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return numpy.ndarray([0])
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def bohman(M, sym=True):
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return numpy.ndarray([0])
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def boxcar(M, sym=True):
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return numpy.ndarray([0])
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def chebwin(M, at, sym=True):
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return numpy.ndarray([0])
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def cosine(M, sym=True):
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return numpy.ndarray([0])
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def exponential(M, center=None, tau=1.0, sym=True):
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return numpy.ndarray([0])
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def flattop(M, sym=True):
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return numpy.ndarray([0])
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def gaussian(M, std, sym=True):
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return numpy.ndarray([0])
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def general_gaussian(M, p, sig, sym=True):
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return numpy.ndarray([0])
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def hamming(M, sym=True):
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return numpy.ndarray([0])
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def hann(M, sym=True):
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return numpy.ndarray([0])
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def hanning(M, sym=True):
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return numpy.ndarray([0])
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def impulse2(system, X0=None, T=None, N=None, **kwargs):
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return numpy.ndarray([0]), numpy.ndarray([0])
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def kaiser(M, beta, sym=True):
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return numpy.ndarray([0])
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def nuttall(M, sym=True):
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return numpy.ndarray([0])
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def parzen(M, sym=True):
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return numpy.ndarray([0])
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def slepian(M, width, sym=True):
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return numpy.ndarray([0])
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def step2(system, X0=None, T=None, N=None, **kwargs):
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return numpy.ndarray([0]), numpy.ndarray([0])
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def triang(M, sym=True):
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return numpy.ndarray([0])
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def tukey(M, alpha=0.5, sym=True):
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return numpy.ndarray([0])
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"""
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)
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def register(manager: AstroidManager) -> None:
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register_module_extender(manager, "scipy.signal", scipy_signal)
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