You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 

81 lines
3.5 KiB

import unittest
import six
from nd2reader2.artificial import ArtificialND2
from nd2reader2.label_map import LabelMap
from nd2reader2.raw_metadata import RawMetadata
from nd2reader2.common_raw_metadata import parse_roi_shape, parse_roi_type, parse_dimension_text_line
class TestRawMetadata(unittest.TestCase):
def setUp(self):
self.nd2 = ArtificialND2('test_data/test_nd2_raw_metadata001.nd2')
self.raw_text, self.locations, self.file_data = self.nd2.raw_text, self.nd2.locations, self.nd2.data
self.label_map = LabelMap(self.raw_text)
self.metadata = RawMetadata(self.nd2.file_handle, self.label_map)
def test_parse_roi_shape(self):
self.assertEqual(parse_roi_shape(3), 'rectangle')
self.assertEqual(parse_roi_shape(9), 'circle')
self.assertIsNone(parse_roi_shape(-1))
def test_parse_roi_type(self):
self.assertEqual(parse_roi_type(3), 'reference')
self.assertEqual(parse_roi_type(2), 'background')
self.assertEqual(parse_roi_type(4), 'stimulation')
self.assertIsNone(parse_roi_type(-1))
def test_parse_dimension_text(self):
line = six.b('Metadata:\r\nDimensions: T(443) x \xce\xbb(1)\r\nCamera Name: Andor Zyla VSC-01537')
self.assertEqual(parse_dimension_text_line(line), six.b('Dimensions: T(443) x \xce\xbb(1)'))
self.assertIsNone(parse_dimension_text_line(six.b('Dim: nothing')))
def test_parse_z_levels(self):
# smokescreen test to check if the fallback to z_coordinates is working
# for details, see RawMetadata._parse_z_levels()
dimension_text = self.metadata._parse_dimension_text()
z_levels = self.metadata._parse_dimension(r""".*?Z\((\d+)\).*?""", dimension_text)
z_coords = self.metadata._parse_z_coordinates()
self.assertEqual(len(dimension_text), 0)
self.assertEqual(len(z_levels), 0)
self.assertEqual(len(self.metadata._parse_z_levels()), len(z_coords))
def test_dict(self):
self.assertTrue(type(self.metadata.__dict__) is dict)
def test_parsed_metadata_has_all_keys(self):
metadata = self.metadata.get_parsed_metadata()
self.assertTrue(type(metadata) is dict)
required_keys = ["height", "width", "date", "fields_of_view", "frames", "z_levels", "total_images_per_channel",
"channels", "pixel_microns"]
for required in required_keys:
self.assertTrue(required in metadata)
def test_cached_metadata(self):
metadata_one = self.metadata.get_parsed_metadata()
metadata_two = self.metadata.get_parsed_metadata()
self.assertEqual(metadata_one, metadata_two)
def test_pfs_status(self):
self.assertEqual(self.file_data['pfs_status'], self.metadata.pfs_status[0])
def _assert_dicts_equal(self, parsed_dict, original_dict):
for attribute in original_dict.keys():
parsed_key = six.b(attribute)
self.assertIn(parsed_key, parsed_dict.keys())
if isinstance(parsed_dict[parsed_key], dict):
self._assert_dicts_equal(parsed_dict[parsed_key], original_dict[attribute])
else:
self.assertEqual(parsed_dict[parsed_key], original_dict[attribute])
def test_image_attributes(self):
parsed_dict = self.metadata.image_attributes
self._assert_dicts_equal(parsed_dict, self.file_data['image_attributes'])
def test_color_channels(self):
parsed_channels = self.metadata.get_parsed_metadata()['channels']
self.assertEquals(parsed_channels, ['TRITC'])