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68 lines
2.5 KiB
Python
68 lines
2.5 KiB
Python
from __future__ import division, print_function, absolute_import
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from CDTools.tools import measurements
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from CDTools.tools import cmath
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import torch as t
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import numpy as np
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import pytest
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def test_intensity():
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wavefields = t.rand((5,10,10,2))
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np_result = np.abs(cmath.torch_to_complex(wavefields))**2
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assert t.allclose(measurements.intensity(wavefields),
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t.tensor(np_result))
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# Test single field case
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assert t.allclose(measurements.intensity(wavefields[0]),
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t.tensor(np_result[0]))
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det_slice = np.s_[3:,5:8]
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assert t.allclose(measurements.intensity(wavefields,det_slice),
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t.tensor(np_result[(np.s_[:],)+det_slice]))
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# Test single field case
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assert t.allclose(measurements.intensity(wavefields[0],det_slice),
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t.tensor(np_result[0][det_slice]))
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def test_incoherent_sum():
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wavefields = t.rand((5,4,10,10,2))
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np_result = np.sum(np.abs(cmath.torch_to_complex(wavefields))**2,axis=1)
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assert t.allclose(measurements.incoherent_sum(wavefields),
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t.tensor(np_result))
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# Test single field case
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assert t.allclose(measurements.incoherent_sum(wavefields[0]),
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t.tensor(np_result[0]))
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det_slice = np.s_[3:,5:8]
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assert t.allclose(measurements.incoherent_sum(wavefields,det_slice),
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t.tensor(np_result[(np.s_[:],)+det_slice]))
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# Test single field case
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assert t.allclose(measurements.incoherent_sum(wavefields[0],det_slice),
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t.tensor(np_result[0][det_slice]))
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def test_quadratic_background():
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# test with intensity
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wavefields = t.rand((5,10,10,2))
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background = t.rand((10,10))
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np_result = np.abs(cmath.torch_to_complex(wavefields))**2 + background.numpy()**2
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det_slice = np.s_[3:,5:8]
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result = measurements.quadratic_background(wavefields,background,
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detector_slice=det_slice,
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measurement=measurements.intensity)
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assert t.allclose(result, t.tensor(np_result[(np.s_[:],)+det_slice]))
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# test with incoherent sum but no slice and no stack
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wavefields = t.rand((4,10,10,2))
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np_result = np.sum(np.abs(cmath.torch_to_complex(wavefields))**2,axis=0)
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np_result += background.numpy()**2
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result = measurements.quadratic_background(wavefields, background,
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measurement=measurements.incoherent_sum)
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assert t.allclose(result, t.tensor(np_result))
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