autopep8 code cleanups.

这个提交包含在:
Craig Warren
2017-02-22 10:37:30 +00:00
父节点 40576db389
当前提交 db4fdb167c
共有 14 个文件被更改,包括 228 次插入232 次删除

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@@ -47,11 +47,6 @@ class My_input_cmd_funcs_test(unittest.TestCase):
rx(2, 1, 0, 'id', ['Ex', 'Ez'])
self.assert_output(out, '#rx: 2 1 0 id Ex Ez')
def test_rx4(self):
with captured_output() as (out, err):
rx(2, 1, 0, 'id', ['Ex', 'Ez'])
self.assert_output(out, '#rx: 2 1 0 id Ex Ez')
def test_rx_rotate_exception(self):
with self.assertRaises(ValueError):
rx(2, 1, 0, 'id', ['Ex', 'Ez'], polarisation='x', rotate90origin=(1, 1)) # no dxdy given

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@@ -113,5 +113,6 @@ if rxs:
# renderview.CameraParallelProjection = 1
RenderAllViews()
# Show color bar/color legend
# thresholdDisplay.SetScalarBarVisibility(renderview, False)

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@@ -261,7 +261,7 @@ def mpl_plot(filename, time, freqs, Vinc, Vincp, Iinc, Iincp, Vref, Vrefp, Iref,
# ax.set_ylabel('Voltage [V]')
# ax.set_xlim([0, np.amax(time)])
# ax.grid()
#
# Plot frequency spectra of reflected voltage
# ax = plt.subplot(gs1[4, 1])
# markerline, stemlines, baseline = ax.stem(freqs[pltrange], Vrefp[pltrange], '-.')
@@ -273,7 +273,7 @@ def mpl_plot(filename, time, freqs, Vinc, Vincp, Iinc, Iincp, Vref, Vrefp, Iref,
# ax.set_xlabel('Frequency [Hz]')
# ax.set_ylabel('Power [dB]')
# ax.grid()
#
# Plot reflected (reflected) current
# ax = plt.subplot(gs1[5, 0])
# ax.plot(time, Iref, 'b', lw=2, label='Iref')
@@ -282,7 +282,7 @@ def mpl_plot(filename, time, freqs, Vinc, Vincp, Iinc, Iincp, Vref, Vrefp, Iref,
# ax.set_ylabel('Current [A]')
# ax.set_xlim([0, np.amax(time)])
# ax.grid()
#
# Plot frequency spectra of reflected current
# ax = plt.subplot(gs1[5, 1])
# markerline, stemlines, baseline = ax.stem(freqs[pltrange], Irefp[pltrange], '-.')
@@ -366,10 +366,10 @@ def mpl_plot(filename, time, freqs, Vinc, Vincp, Iinc, Iincp, Vref, Vrefp, Iref,
# ax.set_title('Input admittance (magnitude)')
# ax.set_xlabel('Frequency [Hz]')
# ax.set_ylabel('Admittance [Siemens]')
##ax.set_xlim([0.88e9, 1.02e9])
##ax.set_ylim([0, 0.035])
# ax.set_xlim([0.88e9, 1.02e9])
# ax.set_ylim([0, 0.035])
# ax.grid()
#
# Plot input admittance (phase)
# ax = plt.subplot(gs2[2, 1])
# markerline, stemlines, baseline = ax.stem(freqs[pltrange], np.angle(yin[pltrange], deg=True), '-.')
@@ -380,8 +380,8 @@ def mpl_plot(filename, time, freqs, Vinc, Vincp, Iinc, Iincp, Vref, Vrefp, Iref,
# ax.set_title('Input admittance (phase)')
# ax.set_xlabel('Frequency [Hz]')
# ax.set_ylabel('Phase [degrees]')
##ax.set_xlim([0.88e9, 1.02e9])
##ax.set_ylim([-40, 100])
# ax.set_xlim([0.88e9, 1.02e9])
# ax.set_ylim([-40, 100])
# ax.grid()
# Save a PDF/PNG of the figure

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@@ -25,7 +25,7 @@ outputfile = args.outputfile
########################################
# User configurable parameters
# Pattern type (E or H)
# Pattern type (E or H)
type = 'H'
# Antenna (true if using full antenna model; false for a theoretical Hertzian dipole

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@@ -26,7 +26,7 @@ patterns = np.load(args.numpyfile)
########################################
# User configurable parameters
# Pattern type (E or H)
# Pattern type (E or H)
type = 'H'
# Relative permittivity of half-space for homogeneous materials (set to None for inhomogeneous)

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@@ -58,7 +58,7 @@ def antenna_like_GSSI_1500(x, y, z, resolution=0.001, rotate90=False, **kwargs):
# Values from http://hdl.handle.net/1842/4074
excitationfreq = 1.71e9
# sourceresistance = 4
sourceresistance = 230 #  Correction for old (< 123) GprMax3D bug
sourceresistance = 230 # Correction for old (< 123) GprMax3D bug
absorberEr = 1.58
absorbersig = 0.428
rxres = 925 # Resistance at Rx bowtie

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@@ -117,8 +117,8 @@ def xcorr(filename, args):
# elif modeltime[-1] > reftime[-1]:
# modeltime = np.arange(0, reftime[-1], f.attrs['dt'])
# modelresp = modelresp[0:len(modeltime)]
#
# # Downsample the response with the higher sampling rate
# Downsample the response with the higher sampling rate
# if len(modeltime) < len(reftime):
# refresp = signal.resample(refresp, len(modelresp))
# elif len(reftime) < len(modeltime):
@@ -237,9 +237,9 @@ def compactness(filename, args):
# Amplitude ratio of the 1st to 3rd peak - hopefully be a measure of a compact envelope
compactness = np.abs(outputdata[peaks[0]]) / np.abs(outputdata[peaks[2]])
# # Percentage of maximum value to measure compactness of signal
# Percentage of maximum value to measure compactness of signal
# durationthreshold = 2
# # Check if there is a peak/trough smaller than threshold
# Check if there is a peak/trough smaller than threshold
# durationthresholdexist = np.where(np.abs(outputdata[peaks]) < (peak * (durationthreshold / 100)))[0]
# if durationthresholdexist.size == 0:
# compactness = time[peaks[-1]]