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def butter(N, Wn, bandtype='band', analog=0, output=''): """Butterworth digital and analog filter design. Description: Design an Nth order lowpass digital Butterworth filter and return the filter coefficients in (B,A) form. Inputs: """ #pre-warp frequencies for digital filter design if not analog: warped = 2fstan(pi*Wn/fs) else: warped = Wn # convert to low-pass prototype # Get analog lowpass prototype # transform to lowpass, bandpass, highpass, or bandstop # Find discrete equivalent if necessary if not analog: pass # Transform to proper out type (pole-zero, state-space, numer-denom) pass	def butter(N, Wn, bandtype='band', analog=0, output=''): """Butterworth digital and analog filter design. Description: Design an Nth order lowpass digital Butterworth filter and return the filter coefficients in (B,A) form. Inputs: """ #pre-warp frequencies for digital filter design if not analog: warped = 2fstan(pi*Wn/fs) else: warped = Wn # convert to low-pass prototype # Get analog lowpass prototype # transform to lowpass, bandpass, highpass, or bandstop # Find discrete equivalent if necessary if not analog: pass # Transform to proper out type (pole-zero, state-space, numer-denom) pass	1,500
def butter(N, Wn, bandtype='band', analog=0, output=''): """Butterworth digital and analog filter design. Description: Design an Nth order lowpass digital Butterworth filter and return the filter coefficients in (B,A) form. Inputs: """ #pre-warp frequencies for digital filter design if not analog: warped = 2fstan(pi*Wn/fs) else: warped = Wn # convert to low-pass prototype # Get analog lowpass prototype # transform to lowpass, bandpass, highpass, or bandstop # Find discrete equivalent if necessary if not analog: pass # Transform to proper out type (pole-zero, state-space, numer-denom) pass	defif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) butter(N,if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) Wn,if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) bandtype='band',if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) analog=0,if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) output=''):if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) """Butterworthif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) digitalif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) andif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) analogif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) filterif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) design.if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) Description:if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) Designif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) anif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) Nthif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) orderif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) lowpassif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) digitalif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) Butterworthif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) filterif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) andif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) returnif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) theif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) filterif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) coefficientsif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) inif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) (B,A)if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) form.if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) Inputs:if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) """if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) #pre-warpif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) frequenciesif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) forif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) digitalif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) filterif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) designif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) ifif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) notif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) analog:if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) warpedif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) =if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) 2fstan(piWn/fs)if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) else:if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) warpedif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) =if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) Wnif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) #if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) convertif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) toif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) low-passif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) prototypeif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) #if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) Getif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) analogif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) lowpassif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) prototypeif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) #if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) transformif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) toif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) lowpass,if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) bandpass,if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) highpass,if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) orif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) bandstopif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) #if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) Findif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) discreteif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) equivalentif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) ifif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) necessaryif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) ifif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) notif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) analog:if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) passif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) #if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) Transformif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) toif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) properif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) outif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) typeif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) (pole-zero,if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) state-space,if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) numer-denom)if btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1]) passif btype in ['lowpass', 'highpass']: wo = warped else: bw = warped[1] - warped[0] wo = sqrt(warped[0]warped[1])	1,501
def butter(N, Wn, bandtype='band', analog=0, output=''): """Butterworth digital and analog filter design. Description: Design an Nth order lowpass digital Butterworth filter and return the filter coefficients in (B,A) form. Inputs: """ #pre-warp frequencies for digital filter design if not analog: warped = 2fstan(pi*Wn/fs) else: warped = Wn # convert to low-pass prototype # Get analog lowpass prototype # transform to lowpass, bandpass, highpass, or bandstop # Find discrete equivalent if necessary if not analog: pass # Transform to proper out type (pole-zero, state-space, numer-denom) pass	defif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) butter(N,if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) Wn,if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) bandtype='band',if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) analog=0,if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) output=''):if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) """Butterworthif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) digitalif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) andif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) analogif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) filterif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) design.if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) Description:if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) Designif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) anif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) Nthif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) orderif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) lowpassif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) digitalif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) Butterworthif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) filterif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) andif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) returnif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) theif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) filterif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) coefficientsif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) inif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) (B,A)if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) form.if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) Inputs:if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) """if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) #pre-warpif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) frequenciesif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) forif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) digitalif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) filterif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) designif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) ifif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) notif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) analog:if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) warpedif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) =if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) 2fstan(pi*Wn/fs)if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) else:if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) warpedif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) =if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) Wnif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) #if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) convertif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) toif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) low-passif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) prototypeif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) #if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) Getif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) analogif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) lowpassif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) prototypeif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) #if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) transformif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) toif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) lowpass,if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) bandpass,if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) highpass,if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) orif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) bandstopif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) #if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) Findif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) discreteif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) equivalentif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) ifif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) necessaryif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) ifif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) notif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) analog:if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) passif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) #if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) Transformif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) toif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) properif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) outif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) typeif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) (pole-zero,if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) state-space,if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) numer-denom)if typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k) passif typefunc in [buttap, besselap]: z, p, k = typefunc(N) elif typefunc == cheb1ap: if rp is None: raise ValueError, "passband ripple (rp) must be provided to design a Chebyshev I filter." z, p, k = typefunc(N, rp) elif typefunc == cheb2ap: if rs is None: raise ValueError, "stopband atteunatuion (rs) must be provided to design an Chebyshev II filter." z, p, k = typefunc(N, rs) else: if rs is None or rp is None: raise ValueErrro, "Both rp and rs must be provided to design an elliptic filter." z, p, k = typefunc(N, rp, rs) b, a = zpk2tf(z,p,k)	1,502
def butter(N, Wn, bandtype='band', analog=0, output=''): """Butterworth digital and analog filter design. Description: Design an Nth order lowpass digital Butterworth filter and return the filter coefficients in (B,A) form. Inputs: """ #pre-warp frequencies for digital filter design if not analog: warped = 2fstan(pi*Wn/fs) else: warped = Wn # convert to low-pass prototype # Get analog lowpass prototype # transform to lowpass, bandpass, highpass, or bandstop # Find discrete equivalent if necessary if not analog: pass # Transform to proper out type (pole-zero, state-space, numer-denom) pass	def butter(N, Wn, bandtype='band', analog=0, output=''): """Butterworth digital and analog filter design. Description: Design an Nth order lowpass digital Butterworth filter and return the filter coefficients in (B,A) form. Inputs: """ #pre-warp frequencies for digital filter design if not analog: warped = 2fstan(pi*Wn/fs) else: warped = Wn # convert to low-pass prototype # Get analog lowpass prototype # transform to lowpass, bandpass, highpass, or bandstop # Find discrete equivalent if necessary if not analog: b, a = bilinear(b, a, fs=fs) # Transform to proper out type (pole-zero, state-space, numer-denom) pass	1,503
def butter(N, Wn, bandtype='band', analog=0, output=''): """Butterworth digital and analog filter design. Description: Design an Nth order lowpass digital Butterworth filter and return the filter coefficients in (B,A) form. Inputs: """ #pre-warp frequencies for digital filter design if not analog: warped = 2fstan(pi*Wn/fs) else: warped = Wn # convert to low-pass prototype # Get analog lowpass prototype # transform to lowpass, bandpass, highpass, or bandstop # Find discrete equivalent if necessary if not analog: pass # Transform to proper out type (pole-zero, state-space, numer-denom) pass	def butter(N, Wn, bandtype='band', analog=0, output=''): """Butterworth digital and analog filter design. Description: Design an Nth order lowpass digital Butterworth filter and return the filter coefficients in (B,A) form. Inputs: """ #pre-warp frequencies for digital filter design if not analog: warped = 2fstan(pi*Wn/fs) else: warped = Wn # convert to low-pass prototype # Get analog lowpass prototype # transform to lowpass, bandpass, highpass, or bandstop # Find discrete equivalent if necessary if not analog: pass # Transform to proper out type (pole-zero, state-space, numer-denom) pass	1,504
def vratio(u, ineps, mp): [s,c,d,phi] = special.ellpj(u,mp) ret = abs(ineps - s/c) try: return ret[0] except IndexError, TypeError: return ret	def vratio(u, ineps, mp): [s,c,d,phi] = special.ellpj(u,mp) ret = abs(ineps - s/c) return ret	1,505
def kratio(m, k_ratio): if m < 0: m = 0.0 if m > 1: m = 1.0 if abs(m) > EPSILON and (abs(m) + EPSILON) < 1: k = special.ellpk([1-m,m]) r = k[0] / k[1] - k_ratio elif abs(m) > EPSILON: r = -k_ratio else: r = 1e20 try: return abs(r)[0] except TypeError: return abs(r)	def kratio(m, k_ratio): if m < 0: m = 0.0 if m > 1: m = 1.0 if abs(m) > EPSILON and (abs(m) + EPSILON) < 1: k = special.ellpk([1-m,m]) r = k[0] / k[1] - k_ratio elif abs(m) > EPSILON: r = -k_ratio else: r = 1e20 return abs(r)	1,506
def ellipap(N,rp,rs): """Return (z,p,k) zeros, poles, and gain of an Nth order normalized prototype elliptic analog lowpass filter with rp decibels of ripple in the passband and a stopband rs decibels down. Broken... """ if N == 1: p = -sqrt(1.0/(10*(0.1rp)-1.0)) k = -p z = [] return z, p, k eps = Num.sqrt(10*(0.1rp)-1) ck1 = eps / Num.sqrt(10*(0.1rs)-1) ck1p = Num.sqrt(1-ck1ck1) if ck1p == 1: raise ValueError, "Cannot design a filter with given rp and rs specifications." wp = 1 val = special.ellpk([1-ck1ck1,1-ck1pck1p]) if abs(1-ck1pck1p) < EPSILON: krat = 0 else: krat = Nval[0] / val[1] m = optimize.fmin(kratio, 0.5, args=(krat,), maxfun=250, maxiter=250, disp=0) if m < 0 or m > 1: m = optimize.fminbound(kratio, 0, 1, args=(krat,), maxfun=250, maxiter=250, disp=0) capk = special.ellpk(1-m) ws = wp / sqrt(m) m1 = 1-m j = arange(1-N%2,N,2) jj = len(j) [s,c,d,phi] = special.ellpj(jcapk/N,mones(jj)) snew = Num.compress(abs(s) > EPSILON, s) z = 1.0 / (sqrt(m)snew) z = 1jz z = Num.concatenate((z,conjugate(z))) r = optimize.fmin(vratio, special.ellpk(1-m), args=(1/eps, ck1pck1p), maxfun=250, maxiter=250, printmessg=0) v0 = capk * r / (Ncapck1[0]) [sv,cv,dv,phi] = special.ellpj(v0,1-m) p = -(cdsvcv + 1jsdv) / (1-(dsv)2.0) if N % 2: newp = Num.compress(abs(p.imag) > EPSILONNum.sqrt(MLab.sum(pNum.conjugate(p)).real), p) p = Num.concatenate((p,conjugate(newp))) else: p = Num.concatenate((p,conjugate(p))) k = (MLab.prod(-p) / MLab.prod(-z)).real if N % 2 == 0: k = k / Num.sqrt((1+epseps)) return z, p, k	def ellipap(N,rp,rs): """Return (z,p,k) zeros, poles, and gain of an Nth order normalized prototype elliptic analog lowpass filter with rp decibels of ripple in the passband and a stopband rs decibels down. Broken... """ if N == 1: p = -sqrt(1.0/(10*(0.1rp)-1.0)) k = -p z = [] return z, p, k eps = Num.sqrt(10*(0.1rp)-1) ck1 = eps / Num.sqrt(10*(0.1rs)-1) ck1p = Num.sqrt(1-ck1ck1) if ck1p == 1: raise ValueError, "Cannot design a filter with given rp and rs specifications." wp = 1 val = special.ellpk([1-ck1ck1,1-ck1pck1p]) if abs(1-ck1pck1p) < EPSILON: krat = 0 else: krat = Nval[0] / val[1] m = optimize.fmin(kratio, 0.5, args=(krat,), maxfun=250, maxiter=250, disp=0) if m < 0 or m > 1: m = optimize.fminbound(kratio, 0, 1, args=(krat,), maxfun=250, maxiter=250, disp=0) capk = special.ellpk(1-m) ws = wp / sqrt(m) m1 = 1-m j = arange(1-N%2,N,2) jj = len(j) [s,c,d,phi] = special.ellpj(jcapk/N,mones(jj)) snew = Num.compress(abs(s) > EPSILON, s) z = 1.0 / (sqrt(m)snew) z = 1jz z = Num.concatenate((z,conjugate(z))) r = optimize.fmin(vratio, special.ellpk(1-m), args=(1/eps, ck1pck1p), maxfun=250, maxiter=250, disp=0) v0 = capk * r / (Nval[0]) [sv,cv,dv,phi] = special.ellpj(v0,1-m) p = -(cdsvcv + 1jsdv) / (1-(dsv)2.0) if N % 2: newp = Num.compress(abs(p.imag) > EPSILONNum.sqrt(MLab.sum(pNum.conjugate(p)).real), p) p = Num.concatenate((p,conjugate(newp))) else: p = Num.concatenate((p,conjugate(p))) k = (MLab.prod(-p) / MLab.prod(-z)).real if N % 2 == 0: k = k / Num.sqrt((1+epseps)) return z, p, k	1,507
def ellipap(N,rp,rs): """Return (z,p,k) zeros, poles, and gain of an Nth order normalized prototype elliptic analog lowpass filter with rp decibels of ripple in the passband and a stopband rs decibels down. Broken... """ if N == 1: p = -sqrt(1.0/(10*(0.1rp)-1.0)) k = -p z = [] return z, p, k eps = Num.sqrt(10*(0.1rp)-1) ck1 = eps / Num.sqrt(10*(0.1rs)-1) ck1p = Num.sqrt(1-ck1ck1) if ck1p == 1: raise ValueError, "Cannot design a filter with given rp and rs specifications." wp = 1 val = special.ellpk([1-ck1ck1,1-ck1pck1p]) if abs(1-ck1pck1p) < EPSILON: krat = 0 else: krat = Nval[0] / val[1] m = optimize.fmin(kratio, 0.5, args=(krat,), maxfun=250, maxiter=250, disp=0) if m < 0 or m > 1: m = optimize.fminbound(kratio, 0, 1, args=(krat,), maxfun=250, maxiter=250, disp=0) capk = special.ellpk(1-m) ws = wp / sqrt(m) m1 = 1-m j = arange(1-N%2,N,2) jj = len(j) [s,c,d,phi] = special.ellpj(jcapk/N,mones(jj)) snew = Num.compress(abs(s) > EPSILON, s) z = 1.0 / (sqrt(m)snew) z = 1jz z = Num.concatenate((z,conjugate(z))) r = optimize.fmin(vratio, special.ellpk(1-m), args=(1/eps, ck1pck1p), maxfun=250, maxiter=250, printmessg=0) v0 = capk * r / (Ncapck1[0]) [sv,cv,dv,phi] = special.ellpj(v0,1-m) p = -(cdsvcv + 1jsdv) / (1-(dsv)2.0) if N % 2: newp = Num.compress(abs(p.imag) > EPSILONNum.sqrt(MLab.sum(pNum.conjugate(p)).real), p) p = Num.concatenate((p,conjugate(newp))) else: p = Num.concatenate((p,conjugate(p))) k = (MLab.prod(-p) / MLab.prod(-z)).real if N % 2 == 0: k = k / Num.sqrt((1+epseps)) return z, p, k	def ellipap(N,rp,rs): """Return (z,p,k) zeros, poles, and gain of an Nth order normalized prototype elliptic analog lowpass filter with rp decibels of ripple in the passband and a stopband rs decibels down.Broken... """ if N == 1: p = -sqrt(1.0/(10*(0.1rp)-1.0)) k = -p z = [] return z, p, keps = Num.sqrt(10*(0.1rp)-1) ck1 = eps / Num.sqrt(10*(0.1rs)-1) ck1p = Num.sqrt(1-ck1ck1) if ck1p == 1: raise ValueError, "Cannot design a filter with given rp and rs specifications."wp = 1 val = special.ellpk([1-ck1ck1,1-ck1pck1p]) if abs(1-ck1pck1p) < EPSILON: krat = 0 else: krat = Nval[0] / val[1]m = optimize.fmin(kratio, 0.5, args=(krat,), maxfun=250, maxiter=250, disp=0) if m < 0 or m > 1: m = optimize.fminbound(kratio, 0, 1, args=(krat,), maxfun=250, maxiter=250, disp=0)capk = special.ellpk(1-m) ws = wp / sqrt(m) m1 = 1-mj = arange(1-N%2,N,2) jj = len(j)[s,c,d,phi] = special.ellpj(jcapk/N,mones(jj)) snew = Num.compress(abs(s) > EPSILON, s) z = 1.0 / (sqrt(m)snew) z = 1jz z = Num.concatenate((z,conjugate(z)))r = optimize.fmin(vratio, special.ellpk(1-m), args=(1/eps, ck1pck1p), maxfun=250, maxiter=250, printmessg=0) v0 = capk * r / (Ncapck1[0])[sv,cv,dv,phi] = special.ellpj(v0,1-m) p = -(cdsvcv + 1jsdv) / (1-(dsv)2.0)if N % 2: newp = Num.compress(abs(p.imag) > EPSILONNum.sqrt(MLab.sum(pNum.conjugate(p)).real), p) p = Num.concatenate((p,conjugate(newp))) else: p = Num.concatenate((p,conjugate(p)))k = (MLab.prod(-p) / MLab.prod(-z)).real if N % 2 == 0: k = k / Num.sqrt((1+epseps))return z, p, k	1,508
def _cdf(self, x, a, c): val = special.gammainc(a,x**c) return where(c>0,val,1-val)	def _cdf(self, x, a, c): val = special.gammainc(a,x**c) return where(c>0,val,1-val)	1,509
def _ppf(self, q, a, c): val1 = special.gammaincinv(a,q) val2 = special.gammaincinv(a,1-q) ic = 1.0/c return where(c>0,pow(val1,ic),pow(val2,ic))	def _ppf(self, q, a, c): val1 = special.gammaincinv(a,q) val2 = special.gammaincinv(a,1.0-q) ic = 1.0/c return where(c>0,pow(val1,ic),pow(val2,ic))	1,510
def _ppf(self, q, a, c): val1 = special.gammaincinv(a,q) val2 = special.gammaincinv(a,1-q) ic = 1.0/c return where(c>0,pow(val1,ic),pow(val2,ic))	def _ppf(self, q, a, c): val1 = special.gammaincinv(a,q) val2 = special.gammaincinv(a,1-q) ic = 1.0/c return where(c>0,pow(val1,ic),pow(val2,ic))	1,511
def diff(x,order=1,period=None, _cache = _cache): """ diff(x, order=1, period=2pi) -> y Return k-th derivative (or integral) of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = pow(sqrt(-1)j2pi/period, order) * x_j y_0 = 0 if order is not 0. Optional input: order The order of differentiation. Default order is 1. If order is negative, then integration is carried out under the assumption that x_0==0. period The assumed period of the sequence. Default is 2pi. Notes: If sum(x)=0 then diff(diff(x,k),-k)==x (within numerical accuracy) For odd order and even len(x), the Nyquist mode is taken zero. """ tmp = asarray(x) if order==0: return tmp if tmp.dtype in (scipy.Complex32, scipy.Complex64): return diff(tmp.real,order,period)+1jdiff(tmp.imag,order,period) if period is not None: c = 2pi/period else: c = 1.0 n = len(x) omega = _cache.get((n,order,c)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,order=order,c=c): if k: return pow(ck,order) return 0 omega = convolve.init_convolution_kernel(n,kernel,d=order, zero_nyquist=1) _cache[(n,order,c)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=order%2, overwrite_x=overwrite_x)	def diff(x,order=1,period=None, _cache = _cache): """ diff(x, order=1, period=2pi) -> y Return k-th derivative (or integral) of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = pow(sqrt(-1)j2pi/period, order) * x_j y_0 = 0 if order is not 0. Optional input: order The order of differentiation. Default order is 1. If order is negative, then integration is carried out under the assumption that x_0==0. period The assumed period of the sequence. Default is 2pi. Notes: If sum(x)=0 then diff(diff(x,k),-k)==x (within numerical accuracy) For odd order and even len(x), the Nyquist mode is taken zero. """ tmp = asarray(x) if order==0: return tmp if tmp.dtypechar in (scipy.Complex32, scipy.Complex64): return diff(tmp.real,order,period)+1jdiff(tmp.imag,order,period) if period is not None: c = 2pi/period else: c = 1.0 n = len(x) omega = _cache.get((n,order,c)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,order=order,c=c): if k: return pow(ck,order) return 0 omega = convolve.init_convolution_kernel(n,kernel,d=order, zero_nyquist=1) _cache[(n,order,c)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=order%2, overwrite_x=overwrite_x)	1,512
def tilbert(x,h,period=None, _cache = _cache): """ tilbert(x, h, period=2pi) -> y Return h-Tilbert transform of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = -sqrt(-1)coth(jh2pi/period) x_j y_0 = 0 Input: h Defines the parameter of the Tilbert transform. period The assumed period of the sequence. Default period is 2pi. Notes: If sum(x)==0 and n=len(x) is odd then tilbert(itilbert(x)) == x If 2pih/period is approximately 10 or larger then numerically tilbert == hilbert (theoretically oo-Tilbert == Hilbert). For even len(x), the Nyquist mode of x is taken zero. """ tmp = asarray(x) if tmp.dtype in (scipy.Complex32, scipy.Complex64): return tilbert(tmp.real,h,period)+\ 1jtilbert(tmp.imag,h,period) if period is not None: h = h2pi/period n = len(x) omega = _cache.get((n,h)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,h=h): if k: return -1/tanh(h*k) return 0 omega = convolve.init_convolution_kernel(n,kernel,d=1) _cache[(n,h)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=1,overwrite_x=overwrite_x)	def tilbert(x,h,period=None, _cache = _cache): """ tilbert(x, h, period=2pi) -> y Return h-Tilbert transform of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = -sqrt(-1)coth(jh2pi/period) x_j y_0 = 0 Input: h Defines the parameter of the Tilbert transform. period The assumed period of the sequence. Default period is 2pi. Notes: If sum(x)==0 and n=len(x) is odd then tilbert(itilbert(x)) == x If 2pih/period is approximately 10 or larger then numerically tilbert == hilbert (theoretically oo-Tilbert == Hilbert). For even len(x), the Nyquist mode of x is taken zero. """ tmp = asarray(x) if tmp.dtypechar in (scipy.Complex32, scipy.Complex64): return tilbert(tmp.real,h,period)+\ 1jtilbert(tmp.imag,h,period) if period is not None: h = h2pi/period n = len(x) omega = _cache.get((n,h)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,h=h): if k: return -1/tanh(h*k) return 0 omega = convolve.init_convolution_kernel(n,kernel,d=1) _cache[(n,h)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=1,overwrite_x=overwrite_x)	1,513
def itilbert(x,h,period=None, _cache = _cache): """ itilbert(x, h, period=2pi) -> y Return inverse h-Tilbert transform of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = sqrt(-1)tanh(jh2pi/period) x_j y_0 = 0 Optional input: see tilbert.__doc__ """ tmp = asarray(x) if tmp.dtype in (scipy.Complex32, scipy.Complex64): return itilbert(tmp.real,h,period)+\ 1jitilbert(tmp.imag,h,period) if period is not None: h = h2pi/period n = len(x) omega = _cache.get((n,h)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,h=h): if k: return tanh(hk) return 0 omega = convolve.init_convolution_kernel(n,kernel,d=1) _cache[(n,h)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=1,overwrite_x=overwrite_x)	def itilbert(x,h,period=None, _cache = _cache): """ itilbert(x, h, period=2pi) -> y Return inverse h-Tilbert transform of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = sqrt(-1)tanh(jh2pi/period) x_j y_0 = 0 Optional input: see tilbert.__doc__ """ tmp = asarray(x) if tmp.dtypechar in (scipy.Complex32, scipy.Complex64): return itilbert(tmp.real,h,period)+\ 1jitilbert(tmp.imag,h,period) if period is not None: h = h2pi/period n = len(x) omega = _cache.get((n,h)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,h=h): if k: return tanh(hk) return 0 omega = convolve.init_convolution_kernel(n,kernel,d=1) _cache[(n,h)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=1,overwrite_x=overwrite_x)	1,514
def hilbert(x, _cache=_cache): """ hilbert(x) -> y Return Hilbert transform of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = -sqrt(-1)sign(j) x_j y_0 = 0 Notes: If sum(x)==0 then hilbert(ihilbert(x)) == x For even len(x), the Nyquist mode of x is taken zero. """ tmp = asarray(x) if tmp.dtype in (scipy.Complex32, scipy.Complex64): return hilbert(tmp.real,tol)+1j*hilbert(tmp.imag) n = len(x) omega = _cache.get(n) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k): if k>0: return -1 elif k<0: return 1 return 0 omega = convolve.init_convolution_kernel(n,kernel,d=1) _cache[n] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=1,overwrite_x=overwrite_x)	def hilbert(x, _cache=_cache): """ hilbert(x) -> y Return Hilbert transform of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = -sqrt(-1)sign(j) x_j y_0 = 0 Notes: If sum(x)==0 then hilbert(ihilbert(x)) == x For even len(x), the Nyquist mode of x is taken zero. """ tmp = asarray(x) if tmp.dtypechar in (scipy.Complex32, scipy.Complex64): return hilbert(tmp.real,tol)+1j*hilbert(tmp.imag) n = len(x) omega = _cache.get(n) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k): if k>0: return -1 elif k<0: return 1 return 0 omega = convolve.init_convolution_kernel(n,kernel,d=1) _cache[n] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=1,overwrite_x=overwrite_x)	1,515
def cs_diff(x, a, b, period=None, _cache = _cache): """ cs_diff(x, a, b, period=2pi) -> y Return (a,b)-cosh/sinh pseudo-derivative of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = -sqrt(-1)cosh(ja2pi/period)/sinh(jb2pi/period) * x_j y_0 = 0 Input: a,b Defines the parameters of the cosh/sinh pseudo-differential operator. period The period of the sequence. Default period is 2pi. Notes: For even len(x), the Nyquist mode of x is taken zero. """ tmp = asarray(x) if tmp.dtype in (scipy.Complex32, scipy.Complex64): return cs_diff(tmp.real,a,b,period)+\ 1jcs_diff(tmp.imag,a,b,period) if period is not None: a = a2pi/period b = b2pi/period n = len(x) omega = _cache.get((n,a,b)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,a=a,b=b): if k: return -cosh(ak)/sinh(bk) return 0 omega = convolve.init_convolution_kernel(n,kernel,d=1) _cache[(n,a,b)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=1,overwrite_x=overwrite_x)	def cs_diff(x, a, b, period=None, _cache = _cache): """ cs_diff(x, a, b, period=2pi) -> y Return (a,b)-cosh/sinh pseudo-derivative of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = -sqrt(-1)cosh(ja2pi/period)/sinh(jb2pi/period) * x_j y_0 = 0 Input: a,b Defines the parameters of the cosh/sinh pseudo-differential operator. period The period of the sequence. Default period is 2pi. Notes: For even len(x), the Nyquist mode of x is taken zero. """ tmp = asarray(x) if tmp.dtypechar in (scipy.Complex32, scipy.Complex64): return cs_diff(tmp.real,a,b,period)+\ 1jcs_diff(tmp.imag,a,b,period) if period is not None: a = a2pi/period b = b2pi/period n = len(x) omega = _cache.get((n,a,b)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,a=a,b=b): if k: return -cosh(ak)/sinh(bk) return 0 omega = convolve.init_convolution_kernel(n,kernel,d=1) _cache[(n,a,b)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=1,overwrite_x=overwrite_x)	1,516
def sc_diff(x, a, b, period=None, _cache = _cache): """ sc_diff(x, a, b, period=2pi) -> y Return (a,b)-sinh/cosh pseudo-derivative of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = sqrt(-1)sinh(ja2pi/period)/cosh(jb2pi/period) * x_j y_0 = 0 Input: a,b Defines the parameters of the sinh/cosh pseudo-differential operator. period The period of the sequence x. Default is 2pi. Notes: sc_diff(cs_diff(x,a,b),b,a) == x For even len(x), the Nyquist mode of x is taken zero. """ tmp = asarray(x) if tmp.dtype in (scipy.Complex32, scipy.Complex64): return sc_diff(tmp.real,a,b,period)+\ 1jsc_diff(tmp.imag,a,b,period) if period is not None: a = a2pi/period b = b2pi/period n = len(x) omega = _cache.get((n,a,b)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,a=a,b=b): if k: return sinh(ak)/cosh(bk) return 0 omega = convolve.init_convolution_kernel(n,kernel,d=1) _cache[(n,a,b)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=1,overwrite_x=overwrite_x)	def sc_diff(x, a, b, period=None, _cache = _cache): """ sc_diff(x, a, b, period=2pi) -> y Return (a,b)-sinh/cosh pseudo-derivative of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = sqrt(-1)sinh(ja2pi/period)/cosh(jb2pi/period) * x_j y_0 = 0 Input: a,b Defines the parameters of the sinh/cosh pseudo-differential operator. period The period of the sequence x. Default is 2pi. Notes: sc_diff(cs_diff(x,a,b),b,a) == x For even len(x), the Nyquist mode of x is taken zero. """ tmp = asarray(x) if tmp.dtypechar in (scipy.Complex32, scipy.Complex64): return sc_diff(tmp.real,a,b,period)+\ 1jsc_diff(tmp.imag,a,b,period) if period is not None: a = a2pi/period b = b2pi/period n = len(x) omega = _cache.get((n,a,b)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,a=a,b=b): if k: return sinh(ak)/cosh(bk) return 0 omega = convolve.init_convolution_kernel(n,kernel,d=1) _cache[(n,a,b)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,swap_real_imag=1,overwrite_x=overwrite_x)	1,517
def ss_diff(x, a, b, period=None, _cache = _cache): """ ss_diff(x, a, b, period=2pi) -> y Return (a,b)-sinh/sinh pseudo-derivative of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = sinh(ja2pi/period)/sinh(jb2pi/period) x_j y_0 = a/b * x_0 Input: a,b Defines the parameters of the sinh/sinh pseudo-differential operator. period The period of the sequence x. Default is 2pi. Notes: ss_diff(ss_diff(x,a,b),b,a) == x """ tmp = asarray(x) if tmp.dtype in (scipy.Complex32, scipy.Complex64): return ss_diff(tmp.real,a,b,period)+\ 1jss_diff(tmp.imag,a,b,period) if period is not None: a = a2pi/period b = b2pi/period n = len(x) omega = _cache.get((n,a,b)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,a=a,b=b): if k: return sinh(ak)/sinh(bk) return float(a)/b omega = convolve.init_convolution_kernel(n,kernel) _cache[(n,a,b)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,overwrite_x=overwrite_x)	def ss_diff(x, a, b, period=None, _cache = _cache): """ ss_diff(x, a, b, period=2pi) -> y Return (a,b)-sinh/sinh pseudo-derivative of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = sinh(ja2pi/period)/sinh(jb2pi/period) x_j y_0 = a/b * x_0 Input: a,b Defines the parameters of the sinh/sinh pseudo-differential operator. period The period of the sequence x. Default is 2pi. Notes: ss_diff(ss_diff(x,a,b),b,a) == x """ tmp = asarray(x) if tmp.dtypechar in (scipy.Complex32, scipy.Complex64): return ss_diff(tmp.real,a,b,period)+\ 1jss_diff(tmp.imag,a,b,period) if period is not None: a = a2pi/period b = b2pi/period n = len(x) omega = _cache.get((n,a,b)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,a=a,b=b): if k: return sinh(ak)/sinh(bk) return float(a)/b omega = convolve.init_convolution_kernel(n,kernel) _cache[(n,a,b)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,overwrite_x=overwrite_x)	1,518
def cc_diff(x, a, b, period=None, _cache = _cache): """ cc_diff(x, a, b, period=2pi) -> y Return (a,b)-cosh/cosh pseudo-derivative of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = cosh(ja2pi/period)/cosh(jb2pi/period) x_j Input: a,b Defines the parameters of the sinh/sinh pseudo-differential operator. Optional input: period The period of the sequence x. Default is 2pi. Notes: cc_diff(cc_diff(x,a,b),b,a) == x """ tmp = asarray(x) if tmp.dtype in (scipy.Complex32, scipy.Complex64): return cc_diff(tmp.real,a,b,period)+\ 1jcc_diff(tmp.imag,a,b,period) if period is not None: a = a2pi/period b = b2pi/period n = len(x) omega = _cache.get((n,a,b)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,a=a,b=b): return cosh(ak)/cosh(bk) omega = convolve.init_convolution_kernel(n,kernel) _cache[(n,a,b)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,overwrite_x=overwrite_x)	def cc_diff(x, a, b, period=None, _cache = _cache): """ cc_diff(x, a, b, period=2pi) -> y Return (a,b)-cosh/cosh pseudo-derivative of a periodic sequence x. If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = cosh(ja2pi/period)/cosh(jb2pi/period) x_j Input: a,b Defines the parameters of the sinh/sinh pseudo-differential operator. Optional input: period The period of the sequence x. Default is 2pi. Notes: cc_diff(cc_diff(x,a,b),b,a) == x """ tmp = asarray(x) if tmp.dtypechar in (scipy.Complex32, scipy.Complex64): return cc_diff(tmp.real,a,b,period)+\ 1jcc_diff(tmp.imag,a,b,period) if period is not None: a = a2pi/period b = b2pi/period n = len(x) omega = _cache.get((n,a,b)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel(k,a=a,b=b): return cosh(ak)/cosh(bk) omega = convolve.init_convolution_kernel(n,kernel) _cache[(n,a,b)] = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve(tmp,omega,overwrite_x=overwrite_x)	1,519
def shift(x, a, period=None, _cache = _cache): """ shift(x, a, period=2pi) -> y Shift periodic sequence x by a: y(u) = x(u+a). If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = exp(ja2pi/periodsqrt(-1)) x_f Optional input: period The period of the sequences x and y. Default period is 2pi. """ tmp = asarray(x) if tmp.dtype in (scipy.Complex32, scipy.Complex64): return shift(tmp.real,a,period)+1jshift(tmp.imag,a,period) if period is not None: a = a2pi/period n = len(x) omega = _cache.get((n,a)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel_real(k,a=a): return cos(ak) def kernel_imag(k,a=a): return sin(ak) omega_real = convolve.init_convolution_kernel(n,kernel_real,d=0, zero_nyquist=0) omega_imag = convolve.init_convolution_kernel(n,kernel_imag,d=1, zero_nyquist=0) _cache[(n,a)] = omega_real,omega_imag else: omega_real,omega_imag = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve_z(tmp,omega_real,omega_imag, overwrite_x=overwrite_x)	def shift(x, a, period=None, _cache = _cache): """ shift(x, a, period=2pi) -> y Shift periodic sequence x by a: y(u) = x(u+a). If x_j and y_j are Fourier coefficients of periodic functions x and y, respectively, then y_j = exp(ja2pi/periodsqrt(-1)) x_f Optional input: period The period of the sequences x and y. Default period is 2pi. """ tmp = asarray(x) if tmp.dtypechar in (scipy.Complex32, scipy.Complex64): return shift(tmp.real,a,period)+1jshift(tmp.imag,a,period) if period is not None: a = a2pi/period n = len(x) omega = _cache.get((n,a)) if omega is None: if len(_cache)>20: while _cache: _cache.popitem() def kernel_real(k,a=a): return cos(ak) def kernel_imag(k,a=a): return sin(ak) omega_real = convolve.init_convolution_kernel(n,kernel_real,d=0, zero_nyquist=0) omega_imag = convolve.init_convolution_kernel(n,kernel_imag,d=1, zero_nyquist=0) _cache[(n,a)] = omega_real,omega_imag else: omega_real,omega_imag = omega overwrite_x = tmp is not x and not hasattr(x,'__array__') return convolve.convolve_z(tmp,omega_real,omega_imag, overwrite_x=overwrite_x)	1,520
def _rvs(self, c): return abs(norm(loc=c,size=self._size))	def _rvs(self, c): return abs(norm(loc=c,size=self._size))	1,521
def _rvs(self, df, nc): return norm(loc=nc,size=self._size)*sqrt(df) / sqrt(chi2(df,size=self._size))	def _rvs(self, df, nc): return norm(loc=nc,size=self._size)*sqrt(df) / sqrt(chi2(df,size=self._size))	1,522
def read_array(fileobject, separator=default, columns=default, comment="#", lines=default, atype=Numeric.Float, linesep='\n', rowsize=10000, missing=0): """Return an array or arrays from ascii_formatted data in \|fileobject\|. Inputs: fileobject -- An open file object or a string for a valid filename. The string can be prepended by "~/" or "~<name>/" to read a file from the home directory. separator -- a string or a tuple of strings to indicate the column separators. If the length of the string tuple is less than the total number of columns, then the last separator is assumed to be the separator for the rest of the columns. columns -- a tuple of integers and range-tuples which describe the columns to read from the file. A negative entry in the last column specifies the negative skip value to the end. Example: columns=(1, 4, (5, 9), (11, 15, 3), 17, -2) will read [1,4,5,6,7,8,11,14,17,19,21,23,...] If multiple arrays are to be returned, then this argument should be an ordered list of such tuples. There should be one entry in the list for each arraytype in the atype list. lines -- a tuple with the same structure as columns which indicates the lines to read. comment -- the comment character (line will be ignored even if it is specified by the lines tuple) linesep -- separator between rows. missing -- value to insert in array when conversion to number fails. atype -- the typecode of the output array. If multiple outputs are desired, then this should be a list of typecodes. The columns to fill the array represented by the given typecode is determined from the columns argument. If the length of atype does not match the length of the columns list, then, the smallest one is expanded to match the largest by repeatedly copying the last entry. rowsize -- the allocation row size (array grows by this amount as data is read in). Output -- the 1 or 2d array, or a tuple of output arrays of different types, sorted in order of the first column to be placed in the output array. """ # Make separator into a tuple of separators. if type(separator) in [types.StringType, type(default)]: sep = (separator,) else: sep = tuple(separator) # Create ascii_object from \|fileobject\| argument. ascii_object = ascii_stream(fileobject, lines=lines, comment=comment, linesep=linesep) columns, atype = convert_to_equal_lists(columns, atype) numout = len(atype) # Get the number of columns to read and expand the columns argument colsize, collist = getcolumns(ascii_object, columns, sep) # Intialize the output arrays outrange = range(numout) outarr = [] for k in outrange: if not atype[k] in "".join(Numeric.typecodes.values()): raise ValueError, "One of the array types is invalid, k=%d" % k outarr.append(Numeric.zeros((rowsize, colsize[k]),atype[k])) row = 0 block_row = 0 for line in ascii_object: if line.strip() == '': continue vals = process_line(line, sep, collist, atype, missing) for k in outrange: outarr[k][row] = vals[k] row += 1 block_row += 1 if block_row >= rowsize: for k in outrange: outarr[k].resize((outarr[k].shape[0] + rowsize,colsize)) block_row = 0 for k in outrange: if outarr[k].shape[0] != row: outarr[k].resize((row,colsize[k])) a = outarr[k] if a.shape[0] == 1 or a.shape[1] == 1: outarr[k] = Numeric.ravel(a) if len(outarr) == 1: return outarr[0] else: return tuple(outarr)	def read_array(fileobject, separator=default, columns=default, comment="#", lines=default, atype=Numeric.Float, linesep='\n', rowsize=10000, missing=0): """Return an array or arrays from ascii_formatted data in \|fileobject\|. Inputs: fileobject -- An open file object or a string for a valid filename. The string can be prepended by "~/" or "~<name>/" to read a file from the home directory. separator -- a string or a tuple of strings to indicate the column separators. If the length of the string tuple is less than the total number of columns, then the last separator is assumed to be the separator for the rest of the columns. columns -- a tuple of integers and range-tuples which describe the columns to read from the file. A negative entry in the last column specifies the negative skip value to the end. Example: columns=(1, 4, (5, 9), (11, 15, 3), 17, -2) will read [1,4,5,6,7,8,11,14,17,19,21,23,...] If multiple arrays are to be returned, then this argument should be an ordered list of such tuples. There should be one entry in the list for each arraytype in the atype list. lines -- a tuple with the same structure as columns which indicates the lines to read. comment -- the comment character (line will be ignored even if it is specified by the lines tuple) linesep -- separator between rows. missing -- value to insert in array when conversion to number fails. atype -- the typecode of the output array. If multiple outputs are desired, then this should be a list of typecodes. The columns to fill the array represented by the given typecode is determined from the columns argument. If the length of atype does not match the length of the columns list, then, the smallest one is expanded to match the largest by repeatedly copying the last entry. rowsize -- the allocation row size (array grows by this amount as data is read in). Output -- the 1 or 2d array, or a tuple of output arrays of different types, sorted in order of the first column to be placed in the output array. """ # Make separator into a tuple of separators. if type(separator) in [types.StringType, type(default)]: sep = (separator,) else: sep = tuple(separator) # Create ascii_object from \|fileobject\| argument. ascii_object = ascii_stream(fileobject, lines=lines, comment=comment, linesep=linesep) columns, atype = convert_to_equal_lists(columns, atype) numout = len(atype) # Get the number of columns to read and expand the columns argument colsize, collist = getcolumns(ascii_object, columns, sep) # Intialize the output arrays outrange = range(numout) outarr = [] for k in outrange: if not atype[k] in typecodes: raise ValueError, "One of the array types is invalid, k=%d" % k outarr.append(Numeric.zeros((rowsize, colsize[k]),atype[k])) row = 0 block_row = 0 for line in ascii_object: if line.strip() == '': continue vals = process_line(line, sep, collist, atype, missing) for k in outrange: outarr[k][row] = vals[k] row += 1 block_row += 1 if block_row >= rowsize: for k in outrange: outarr[k].resize((outarr[k].shape[0] + rowsize,colsize)) block_row = 0 for k in outrange: if outarr[k].shape[0] != row: outarr[k].resize((row,colsize[k])) a = outarr[k] if a.shape[0] == 1 or a.shape[1] == 1: outarr[k] = Numeric.ravel(a) if len(outarr) == 1: return outarr[0] else: return tuple(outarr)	1,523
def read_array(fileobject, separator=default, columns=default, comment="#", lines=default, atype=Numeric.Float, linesep='\n', rowsize=10000, missing=0): """Return an array or arrays from ascii_formatted data in \|fileobject\|. Inputs: fileobject -- An open file object or a string for a valid filename. The string can be prepended by "~/" or "~<name>/" to read a file from the home directory. separator -- a string or a tuple of strings to indicate the column separators. If the length of the string tuple is less than the total number of columns, then the last separator is assumed to be the separator for the rest of the columns. columns -- a tuple of integers and range-tuples which describe the columns to read from the file. A negative entry in the last column specifies the negative skip value to the end. Example: columns=(1, 4, (5, 9), (11, 15, 3), 17, -2) will read [1,4,5,6,7,8,11,14,17,19,21,23,...] If multiple arrays are to be returned, then this argument should be an ordered list of such tuples. There should be one entry in the list for each arraytype in the atype list. lines -- a tuple with the same structure as columns which indicates the lines to read. comment -- the comment character (line will be ignored even if it is specified by the lines tuple) linesep -- separator between rows. missing -- value to insert in array when conversion to number fails. atype -- the typecode of the output array. If multiple outputs are desired, then this should be a list of typecodes. The columns to fill the array represented by the given typecode is determined from the columns argument. If the length of atype does not match the length of the columns list, then, the smallest one is expanded to match the largest by repeatedly copying the last entry. rowsize -- the allocation row size (array grows by this amount as data is read in). Output -- the 1 or 2d array, or a tuple of output arrays of different types, sorted in order of the first column to be placed in the output array. """ # Make separator into a tuple of separators. if type(separator) in [types.StringType, type(default)]: sep = (separator,) else: sep = tuple(separator) # Create ascii_object from \|fileobject\| argument. ascii_object = ascii_stream(fileobject, lines=lines, comment=comment, linesep=linesep) columns, atype = convert_to_equal_lists(columns, atype) numout = len(atype) # Get the number of columns to read and expand the columns argument colsize, collist = getcolumns(ascii_object, columns, sep) # Intialize the output arrays outrange = range(numout) outarr = [] for k in outrange: if not atype[k] in "".join(Numeric.typecodes.values()): raise ValueError, "One of the array types is invalid, k=%d" % k outarr.append(Numeric.zeros((rowsize, colsize[k]),atype[k])) row = 0 block_row = 0 for line in ascii_object: if line.strip() == '': continue vals = process_line(line, sep, collist, atype, missing) for k in outrange: outarr[k][row] = vals[k] row += 1 block_row += 1 if block_row >= rowsize: for k in outrange: outarr[k].resize((outarr[k].shape[0] + rowsize,colsize)) block_row = 0 for k in outrange: if outarr[k].shape[0] != row: outarr[k].resize((row,colsize[k])) a = outarr[k] if a.shape[0] == 1 or a.shape[1] == 1: outarr[k] = Numeric.ravel(a) if len(outarr) == 1: return outarr[0] else: return tuple(outarr)	def read_array(fileobject, separator=default, columns=default, comment="#", lines=default, atype=Numeric.Float, linesep='\n', rowsize=10000, missing=0): """Return an array or arrays from ascii_formatted data in \|fileobject\|. Inputs: fileobject -- An open file object or a string for a valid filename. The string can be prepended by "~/" or "~<name>/" to read a file from the home directory. separator -- a string or a tuple of strings to indicate the column separators. If the length of the string tuple is less than the total number of columns, then the last separator is assumed to be the separator for the rest of the columns. columns -- a tuple of integers and range-tuples which describe the columns to read from the file. A negative entry in the last column specifies the negative skip value to the end. Example: columns=(1, 4, (5, 9), (11, 15, 3), 17, -2) will read [1,4,5,6,7,8,11,14,17,19,21,23,...] If multiple arrays are to be returned, then this argument should be an ordered list of such tuples. There should be one entry in the list for each arraytype in the atype list. lines -- a tuple with the same structure as columns which indicates the lines to read. comment -- the comment character (line will be ignored even if it is specified by the lines tuple) linesep -- separator between rows. missing -- value to insert in array when conversion to number fails. atype -- the typecode of the output array. If multiple outputs are desired, then this should be a list of typecodes. The columns to fill the array represented by the given typecode is determined from the columns argument. If the length of atype does not match the length of the columns list, then, the smallest one is expanded to match the largest by repeatedly copying the last entry. rowsize -- the allocation row size (array grows by this amount as data is read in). Output -- the 1 or 2d array, or a tuple of output arrays of different types, sorted in order of the first column to be placed in the output array. """ # Make separator into a tuple of separators. if type(separator) in [types.StringType, type(default)]: sep = (separator,) else: sep = tuple(separator) # Create ascii_object from \|fileobject\| argument. ascii_object = ascii_stream(fileobject, lines=lines, comment=comment, linesep=linesep) columns, atype = convert_to_equal_lists(columns, atype) numout = len(atype) # Get the number of columns to read and expand the columns argument colsize, collist = getcolumns(ascii_object, columns, sep) # Intialize the output arrays outrange = range(numout) outarr = [] for k in outrange: if not atype[k] in "".join(Numeric.typecodes.values()): raise ValueError, "One of the array types is invalid, k=%d" % k outarr.append(Numeric.zeros((rowsize, colsize[k]),atype[k])) row = 0 block_row = 0 for line in ascii_object: if line.strip() == '': continue vals = process_line(line, sep, collist, atype, missing) for k in outrange: outarr[k][row] = vals[k] row += 1 block_row += 1 if block_row >= rowsize: for k in outrange: outarr[k].resize((outarr[k].shape[0] + rowsize,colsize[k])) block_row = 0 for k in outrange: if outarr[k].shape[0] != row: outarr[k].resize((row,colsize[k])) a = outarr[k] if a.shape[0] == 1 or a.shape[1] == 1: outarr[k] = Numeric.ravel(a) if len(outarr) == 1: return outarr[0] else: return tuple(outarr)	1,524
def configuration(parent_package='',top_path=None): from numpy.distutils.misc_util import Configuration from numpy.distutils.system_info import get_info config = Configuration('fftpack',parent_package, top_path) fft_opt_info = get_info('fft_opt') config.add_data_dir('tests') config.add_library('dfftpack', sources=[join('dfftpack','*.f')]) sources = ['fftpack.pyf','src/zfft.c','src/drfft.c','src/zrfft.c', 'src/zfftnd.c'] config.add_extension('_fftpack', sources=sources, libraries=['dfftpack'], extra_info = fft_opt_info ) config.add_extension('convolve', sources = ['convolve.pyf','src/convolve.c'], libraries = ['dfftpack'], extra_info = fft_opt_info ) return config	def configuration(parent_package='',top_path=None): from numpy.distutils.misc_util import Configuration from numpy.distutils.system_info import get_info config = Configuration('fftpack',parent_package, top_path) djbfft_info = {} mkl_info = get_info('mkl') if mkl_info: mkl_info.setdefault('define_macros', []).append(('SCIPY_MKL_H', None)) fft_opt_info = mkl_info else: fft_opt_info = get_info('fftw3') or get_info('fftw2') \ or get_info('dfftw') djbfft_info = get_info('djbfft') config.add_data_dir('tests') config.add_library('dfftpack', sources=[join('dfftpack','*.f')]) sources = ['fftpack.pyf','src/zfft.c','src/drfft.c','src/zrfft.c', 'src/zfftnd.c'] config.add_extension('_fftpack', sources=sources, libraries=['dfftpack'], extra_info = fft_opt_info ) config.add_extension('convolve', sources = ['convolve.pyf','src/convolve.c'], libraries = ['dfftpack'], extra_info = fft_opt_info ) return config	1,525
def configuration(parent_package='',top_path=None): from numpy.distutils.misc_util import Configuration from numpy.distutils.system_info import get_info config = Configuration('fftpack',parent_package, top_path) fft_opt_info = get_info('fft_opt') config.add_data_dir('tests') config.add_library('dfftpack', sources=[join('dfftpack','*.f')]) sources = ['fftpack.pyf','src/zfft.c','src/drfft.c','src/zrfft.c', 'src/zfftnd.c'] config.add_extension('_fftpack', sources=sources, libraries=['dfftpack'], extra_info = fft_opt_info ) config.add_extension('convolve', sources = ['convolve.pyf','src/convolve.c'], libraries = ['dfftpack'], extra_info = fft_opt_info ) return config	def configuration(parent_package='',top_path=None): from numpy.distutils.misc_util import Configuration from numpy.distutils.system_info import get_info config = Configuration('fftpack',parent_package, top_path) fft_opt_info = get_info('fft_opt') config.add_data_dir('tests') config.add_library('dfftpack', sources=[join('dfftpack','*.f')]) sources = ['fftpack.pyf','src/zfft.c','src/drfft.c','src/zrfft.c', 'src/zfftnd.c'] config.add_extension('_fftpack', sources=sources, libraries=['dfftpack'], extra_info = [fft_opt_info, djbfft_info], ) config.add_extension('convolve', sources = ['convolve.pyf','src/convolve.c'], libraries = ['dfftpack'], extra_info = [fft_opt_info, djbfft_info], ) return config	1,526
def __init__(self, *params): if len(params) == 2: (width, height) = params self.name = "No Name" self.author = "No Author"	def __init__(self, *params): if len(params) == 2: (width, height) = params self.name = "No Name" self.author = "No Author"	1,527
def find(lst, obj): for i in lst: if i[0] == obj: return i return None	def find(lst, obj): for i in lst: if i[0] == obj: return i return None	1,528
def find(lst, obj): for i in lst: if i[0] == obj: return i return None	def find(lst, obj): for i in lst: if i[0] == obj: return i return None	1,529
def save(self, filename): f = file(filename, 'w') f.write(";; Generated by Flexlay Editor\n" "(supertux-level\n") f.write(" (version 1)\n") f.write(" (name \"%s\")\n" % self.name) f.write(" (author \"%s\")\n" % self.author) f.write(" (width %d)\n" % self.width) f.write(" (height %d)\n" % self.height)	def save(self, filename): f = file(filename, 'w') f.write(";; Generated by Flexlay Editor\n" "(supertux-level\n") f.write(" (version 1)\n") f.write(" (name \"%s\")\n" % self.name) f.write(" (author \"%s\")\n" % self.author) f.write(" (width %d)\n" % self.width) f.write(" (height %d)\n" % self.height)	1,530
def __init__(self, tileset, gui): self.selector_window = Panel(CL_Rect(CL_Point(800-134, 23+33), CL_Size(128 + 6, 558)), gui.get_component()) self.tileselector = TileSelector(CL_Rect(CL_Point(3, 3), CL_Size(128, 552)), self.selector_window) self.tileselector.set_tileset(tileset) self.tileselector.set_tiles(range(1,100)) self.tileselector.show(False)	def __init__(self, tileset, gui): self.selector_window = Panel(CL_Rect(CL_Point(800-134, 23+33), CL_Size(128 + 6, 558)), gui.get_component()) self.tileselector = TileSelector(CL_Rect(CL_Point(3, 3), CL_Size(128, 552)), self.selector_window) self.tileselector.set_tileset(tileset) self.tileselector.set_tiles(range(1,100)) self.tileselector.show(False)	1,531
def __init__(self, filename): print "SuperTuxLevel:__init__" self.me = self	def __init__(self, filename): print "SuperTuxLevel:__init__" self.me = self	1,532
def __init__(self, filename): print "SuperTuxLevel:__init__" self.me = self	def __init__(self, filename): print "SuperTuxLevel:__init__" self.me = self	1,533
def __init__(self, filename): print "SuperTuxLevel:__init__" self.me = self	def __init__(self, filename): print "SuperTuxLevel:__init__" self.me = self	1,534
def activate(self, workspace): #editor_tilemap_set_current(self.interactive.to_layer()) workspace.set_current_map(self.editormap)	def activate(self, workspace): #editor_tilemap_set_current(self.interactive.to_layer()) workspace.set_current_map(self.editormap)	1,535
def __init__(self): self.tileselector_window = CL_Window(CL_Rect(CL_Point(150, 150), CL_Size(210, 210)), "Tile Selector", gui.get_component()) self.tileselector = TileSelector(5, 3, self.tileselector_window.get_client_area()) self.tileselector.set_tileset(tileset) self.tileselector.set_tiles(range(1,100))	def __init__(self): self.tileselector_window = CL_Window(CL_Rect(CL_Point(150, 150), CL_Size(210, 210)), "Tile Selector", gui.get_component()) self.tileselector = TileSelector(5, 3, self.tileselector_window.get_client_area()) self.tileselector.set_tileset(tileset) self.tileselector.set_tiles(range(1,100))	1,536
def load_game_tiles(tileset, filename): tree = sexpr_read_from_file(filename) tree = tree[1:] for i in tree: if i[0] == "tile": data = i[1:] id = get_value_from_tree(['id', '_'], data, -1) image = get_value_from_tree(['editor-images', '_'], data, False) if not(image): image = get_value_from_tree(['images', '_'], data, "notile.png") tileset.add_tile(id, Tile(supertux_datadir + 'images/tilesets/' + image, CL_Color(255, 255, 255, 255), CL_Color(255, 0, 0, 128)))	def load_game_tiles(tileset, filename): tree = sexpr_read_from_file(filename) tree = tree[1:] for i in tree: if i[0] == "tile": data = i[1:] id = get_value_from_tree(['id', '_'], data, -1) image = get_value_from_tree(['editor-images', '_'], data, False) if not(image): image = get_value_from_tree(['images', '_'], data, "notile.png") tileset.add_tile(id, Tile(supertux_datadir + 'images/tilesets/' + image, CL_Color(255, 255, 255, 255), CL_Color(255, 0, 0, 128)))	1,537
def load_game_tiles(tileset, filename): tree = sexpr_read_from_file(filename) tree = tree[1:] for i in tree: if i[0] == "tile": data = i[1:] id = get_value_from_tree(['id', '_'], data, -1) image = get_value_from_tree(['editor-images', '_'], data, False) if not(image): image = get_value_from_tree(['images', '_'], data, "notile.png") tileset.add_tile(id, Tile(supertux_datadir + 'images/tilesets/' + image, CL_Color(255, 255, 255, 255), CL_Color(255, 0, 0, 128)))	def load_game_tiles(tileset, filename): tree = sexpr_read_from_file(filename) tree = tree[1:] for i in tree: if i[0] == "tile": data = i[1:] id = get_value_from_tree(['id', '_'], data, -1) image = get_value_from_tree(['editor-images', '_'], data, False) if not(image): image = get_value_from_tree(['images', '_'], data, "notile.png") tileset.add_tile(id, Tile(supertux_datadir + 'images/tilesets/' + image, CL_Color(255, 255, 255, 255), CL_Color(255, 0, 0, 128)))	1,538
def load_game_tiles(tileset, filename): tree = sexpr_read_from_file(filename) tree = tree[1:] for i in tree: if i[0] == "tile": data = i[1:] id = get_value_from_tree(['id', '_'], data, -1) image = get_value_from_tree(['editor-images', '_'], data, False) if not(image): image = get_value_from_tree(['images', '_'], data, "notile.png") tileset.add_tile(id, Tile(supertux_datadir + 'images/tilesets/' + image, CL_Color(255, 255, 255, 255), CL_Color(255, 0, 0, 128)))	def load_game_tiles(tileset, filename): tree = sexpr_read_from_file(filename) tree = tree[1:] for i in tree: if i[0] == "tile": data = i[1:] id = get_value_from_tree(['id', '_'], data, -1) image = get_value_from_tree(['editor-images', '_'], data, False) if not(image): image = get_value_from_tree(['images', '_'], data, "notile.png") tileset.add_tile(id, Tile(supertux_datadir + 'images/tilesets/' + image, CL_Color(255, 255, 255, 255), CL_Color(255, 0, 0, 128)))	1,539