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# coding=utf-8 |
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""" |
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Tests for deepreg/dataset/loader/util.py in pytest style |
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""" |
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from test.unit.util import is_equal_np |
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import numpy as np |
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import pytest |
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import deepreg.dataset.loader.util as util |
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class TestNormalizeArray: |
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@pytest.mark.parametrize( |
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"arr,expected", |
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[ |
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[np.array([0, 1, 2]), np.array([0, 0.5, 1])], |
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[np.array([-2, 0, 1, 2]), np.array([0, 0.5, 0.75, 1])], |
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[np.array([1, 1, 1, 1]), np.array([0, 0, 0, 0])], |
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], |
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) |
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def test_no_min_no_max(self, arr, expected): |
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got = util.normalize_array(arr=arr) |
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assert is_equal_np(got, expected) |
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@pytest.mark.parametrize( |
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"arr,v_max,expected", |
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[ |
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[np.array([0, 1, 2]), 1, np.array([0, 1, 1])], |
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[np.array([-2, 0, 1, 2]), 3, np.array([0, 0.4, 0.6, 0.8])], |
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], |
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) |
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def test_no_min(self, arr, v_max, expected): |
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got = util.normalize_array(arr=arr, v_max=v_max) |
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assert is_equal_np(got, expected) |
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@pytest.mark.parametrize( |
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"arr,v_min,expected", |
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[ |
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[np.array([0, 1, 2]), 1, np.array([0, 0, 1])], |
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[np.array([-2, 0, 1, 2]), -3, np.array([0.2, 0.6, 0.8, 1])], |
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], |
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) |
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def test_no_max(self, arr, v_min, expected): |
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got = util.normalize_array(arr=arr, v_min=v_min) |
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assert is_equal_np(got, expected) |
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def test_remove_prefix_suffix(): |
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""" |
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Test remove_prefix_suffix by verifying outputs |
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""" |
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x = "sample000.nii" |
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# single prefix, suffix |
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got = util.remove_prefix_suffix(x=x, prefix="sample", suffix=".nii") |
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expected = "000" |
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assert got == expected |
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# multiple prefixes, suffixes |
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got = util.remove_prefix_suffix(x=x, prefix=["sample"], suffix=[".nii.gz", ".nii"]) |
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expected = "000" |
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assert got == expected |
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DeepRegNet /
DeepReg
