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34 lines
1.4 KiB
34 lines
1.4 KiB
import unittest
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from nd2reader.artificial import ArtificialND2
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from nd2reader.label_map import LabelMap
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from nd2reader.raw_metadata import RawMetadata
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class TestRawMetadata(unittest.TestCase):
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def setUp(self):
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self.raw_text, self.locations = ArtificialND2.create_label_map_bytes()
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self.label_map = LabelMap(self.raw_text)
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self.metadata = RawMetadata(None, self.label_map)
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def test_parse_roi_shape(self):
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self.assertEqual(self.metadata._parse_roi_shape(3), 'rectangle')
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self.assertEqual(self.metadata._parse_roi_shape(9), 'circle')
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self.assertIsNone(self.metadata._parse_roi_shape(-1))
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def test_parse_roi_type(self):
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self.assertEqual(self.metadata._parse_roi_type(3), 'reference')
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self.assertEqual(self.metadata._parse_roi_type(2), 'background')
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self.assertEqual(self.metadata._parse_roi_type(4), 'stimulation')
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self.assertIsNone(self.metadata._parse_roi_type(-1))
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def test_dict(self):
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self.assertTrue(type(self.metadata.__dict__) is dict)
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def test_parsed_metadata(self):
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metadata = self.metadata.get_parsed_metadata()
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self.assertTrue(type(metadata) is dict)
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required_keys = ["height", "width", "date", "fields_of_view", "frames", "z_levels", "total_images_per_channel",
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"channels", "pixel_microns"]
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for required in required_keys:
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self.assertTrue(required in metadata)
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