[refactor] automatic code reformatting (Pycharm)
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@@ -223,14 +223,14 @@ class LocalMagnitude(Magnitude):
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in 'Z3']
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# checking horizontal count and calculating power_sum accordingly
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if len(power) == 1:
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print ('WARNING: Only one horizontal found for station {0}.'.format(st[0].stats.station))
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power_sum = power[0]
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print('WARNING: Only one horizontal found for station {0}.'.format(st[0].stats.station))
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power_sum = power[0]
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elif len(power) == 2:
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power_sum = power[0] + power[1]
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else:
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raise ValueError('Wood-Anderson aomplitude defintion only valid for'
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' up to two horizontals: {0} given'.format(len(power)))
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power_sum = power[0] + power[1]
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else:
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raise ValueError('Wood-Anderson aomplitude defintion only valid for'
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' up to two horizontals: {0} given'.format(len(power)))
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sqH = np.sqrt(power_sum)
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# get time array
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@@ -325,7 +325,7 @@ class LocalMagnitude(Magnitude):
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if self.verbose:
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print(
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"Local Magnitude for station {0}: ML = {1:3.1f}".format(
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station, magnitude.mag))
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station, magnitude.mag))
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magnitude.origin_id = self.origin_id
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magnitude.waveform_id = pick.waveform_id
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magnitude.amplitude_id = amplitude.resource_id
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@@ -404,7 +404,7 @@ class MomentMagnitude(Magnitude):
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if not wf:
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continue
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try:
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scopy = wf.copy()
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scopy = wf.copy()
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except AssertionError:
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print("WARNING: Something's wrong with the data,"
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"station {},"
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@@ -464,7 +464,7 @@ def calcMoMw(wfstream, w0, rho, vp, delta, verbosity=False):
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# additional common parameters for calculating Mo
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# average radiation pattern of P waves (Aki & Richards, 1980)
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rP = 2 / np.sqrt(15)
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rP = 2 / np.sqrt(15)
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freesurf = 2.0 # free surface correction, assuming vertical incidence
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Mo = w0 * 4 * np.pi * rho * np.power(vp, 3) * delta / (rP * freesurf)
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@@ -524,7 +524,7 @@ def calcsourcespec(wfstream, onset, vp, delta, azimuth, incidence,
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iplot = 2
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else:
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iplot = 0
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# get Q value
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Q, A = qp
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@@ -594,13 +594,13 @@ def calcsourcespec(wfstream, onset, vp, delta, azimuth, incidence,
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# fft
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fny = freq / 2
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#l = len(xdat) / freq
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# l = len(xdat) / freq
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# number of fft bins after Bath
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#n = freq * l
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# n = freq * l
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# find next power of 2 of data length
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m = pow(2, np.ceil(np.log(len(xdat)) / np.log(2)))
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N = min(int(np.power(m, 2)), 16384)
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#N = int(np.power(m, 2))
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# N = int(np.power(m, 2))
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y = dt * np.fft.fft(xdat, N)
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Y = abs(y[: N / 2])
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L = (N - 1) / freq
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@@ -643,8 +643,8 @@ def calcsourcespec(wfstream, onset, vp, delta, azimuth, incidence,
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w0 = np.median([w01, w02])
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Fc = np.median([fc1, fc2])
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if verbosity:
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print("calcsourcespec: Using w0-value = %e m/Hz and fc = %f Hz" % (
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w0, Fc))
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print("calcsourcespec: Using w0-value = %e m/Hz and fc = %f Hz" % (
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w0, Fc))
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if iplot >= 1:
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f1 = plt.figure()
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tLdat = np.arange(0, len(Ldat) * dt, dt)
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@@ -733,7 +733,7 @@ def fitSourceModel(f, S, fc0, iplot, verbosity=False):
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iplot = 2
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else:
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iplot = 0
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w0 = []
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stdw0 = []
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fc = []
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