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42 lines
1.2 KiB
42 lines
1.2 KiB
from nd2reader.model.image import Image
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import numpy as np
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import unittest
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class ImageTests(unittest.TestCase):
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"""
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Basically just tests that the Image API works and that Images act as Numpy arrays. There's very little going on
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here other than simply storing data.
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"""
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def setUp(self):
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array = np.array([[0, 1, 254],
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[45, 12, 9],
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[12, 12, 99]])
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self.image = Image(array)
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self.image.add_params(1200.314, 17, 2, 'GFP', 1)
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def test_size(self):
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self.assertEqual(self.image.height, 3)
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self.assertEqual(self.image.width, 3)
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def test_timestamp(self):
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self.assertEqual(self.image.timestamp, 1.200314)
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def test_frame_number(self):
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self.assertEqual(self.image.frame_number, 17)
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def test_fov(self):
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self.assertEqual(self.image.field_of_view, 2)
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def test_channel(self):
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self.assertEqual(self.image.channel, 'GFP')
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def test_z_level(self):
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self.assertEqual(self.image.z_level, 1)
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def test_slice(self):
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subimage = self.image[:2, :2]
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expected = np.array([[0, 1],
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[45, 12]])
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self.assertTrue(np.array_equal(subimage, expected))
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