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51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
from __future__ import division, print_function, absolute_import
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from CDTools.tools import plotting
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from CDTools.tools import initializers
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import numpy as np
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import pytest
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import torch as t
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import scipy.misc
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import matplotlib.pyplot as plt
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def test_plot_amplitude(show_plot):
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# Test with tensor
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im = t.as_tensor(scipy.misc.ascent(),dtype=t.complex128)
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plotting.plot_amplitude(im, basis = np.array([[1,1], [1,1], [0,0]]), title = 'Test Amplitude')
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if show_plot:
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plt.show()
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# Test with numpy array
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im = scipy.misc.ascent().astype(np.complex128)
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plotting.plot_amplitude(im, title = 'Test Amplitude')
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if show_plot:
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plt.show()
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def test_plot_phase(show_plot):
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# Test with tensor
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im = initializers.gaussian([512, 512], [200,200], amplitude=100, curvature=[.1,.1])
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plotting.plot_phase(im, title = 'Test Phase')
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if show_plot:
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plt.show()
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# Test with numpy array
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im = initializers.gaussian([512, 512], [200,200], amplitude=100, curvature=[.1,.1]).numpy()
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plotting.plot_phase(im, title = 'Test Phase', basis = np.array([[1,1], [1,1], [0,0]]))
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if show_plot:
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plt.show()
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def test_plot_colorize(show_plot):
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# Test with tensor
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gaussian = initializers.gaussian([512, 512], [200,200], amplitude=100, curvature=[.1,.1])
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im = gaussian * t.as_tensor(scipy.misc.ascent(), dtype=t.complex64)
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plotting.plot_colorized(im, title = 'Test Colorize', basis = np.array([[1,1], [1,1], [0,0]]))
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if show_plot:
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plt.show()
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# Test with numpy array
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im = im.numpy()
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plotting.plot_colorized(im, title = 'Test Colorize')
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if show_plot:
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plt.show()
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