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48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
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 torch as t
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import scipy.datasets
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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.datasets.ascent(),dtype=t.complex128)
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plotting.plot_amplitude(im, basis = np.array([[0,-1], [-1,0], [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.datasets.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([[0,-1], [-1,0], [0,0]]))
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if show_plot:
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plt.show()
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def test_plot_colorized(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.datasets.ascent(), dtype=t.complex64)
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plotting.plot_colorized(im, title = 'Test Colorize', basis = np.array([[0,-1], [-1,0], [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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