§ ‘¢bgäãó^—dZddlmZddlmZddlmZd„Zee¦«de¦«dS)z&Astroid hooks for scipy.signal module.é)Úregister_module_extender©Úparse)ÚAstroidManagercó —td¦«S)Na # 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]) r©óúq/builddir/build/BUILD/cloudlinux-venv-1.0.7/venv/lib/python3.11/site-packages/astroid/brain/brain_scipy_signal.pyÚ scipy_signalr s€Ý ðG ñI ôI ðIr z scipy.signalN)Ú__doc__Úastroid.brain.helpersrÚastroid.builderrÚastroid.managerrr rr r úrs{ðð -Ð,Ø:Ð:Ð:Ð:Ð:Ð:Ø!Ð!Ð!Ð!Ð!Ð!Ø*Ð*Ð*Ð*Ð*Ð*ðJðJðJðZИ˜Ñ)Ô)¨>¸<ÑHÔHÐHÐHÐHr