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Merge pull request #141 from jimrybarski/138-bug-select

138 bug select
feature/load_slices
Jim Rybarski 9 years ago
parent
commit
e1cd579882
2 changed files with 25 additions and 25 deletions
  1. +24
    -24
      functional_tests/FYLM141111001.py
  2. +1
    -1
      nd2reader/main.py

+ 24
- 24
functional_tests/FYLM141111001.py View File

@ -34,7 +34,7 @@ class FunctionalTests(unittest.TestCase):
self.assertEqual(len(self.nd2.fields_of_view), 8)
def test_channels(self):
self.assertTupleEqual(tuple(sorted(self.nd2.channels)), ('BF', 'GFP'))
self.assertTupleEqual(tuple(sorted(self.nd2.channels)), ('', 'GFP'))
def test_z_levels(self):
self.assertTupleEqual(tuple(self.nd2.z_levels), (0, 1, 2))
@ -44,7 +44,7 @@ class FunctionalTests(unittest.TestCase):
self.assertEqual(image.field_of_view, 2)
self.assertEqual(image.frame_number, 0)
self.assertAlmostEqual(image.timestamp, 19.0340758)
self.assertEqual(image.channel, 'BF')
self.assertEqual(image.channel, '')
self.assertEqual(image.z_level, 1)
self.assertEqual(image.height, self.nd2.height)
self.assertEqual(image.width, self.nd2.width)
@ -70,46 +70,46 @@ class FunctionalTests(unittest.TestCase):
self.assertEqual(len(images), 10)
def test_get_image_by_attribute_ok(self):
image = self.nd2.get_image(4, 0, "GFP", 1)
image = self.nd2.get_image(4, 0, 'GFP', 1)
self.assertIsNotNone(image)
image = self.nd2.get_image(4, 0, "BF", 0)
image = self.nd2.get_image(4, 0, '', 0)
self.assertIsNotNone(image)
image = self.nd2.get_image(4, 0, "BF", 1)
image = self.nd2.get_image(4, 0, '', 1)
self.assertIsNotNone(image)
def test_images(self):
self.assertTupleEqual((self.nd2[0].z_level, self.nd2[0].channel), (0, 'BF'))
self.assertTupleEqual((self.nd2[0].z_level, self.nd2[0].channel), (0, ''))
self.assertIsNone(self.nd2[1])
self.assertTupleEqual((self.nd2[2].z_level, self.nd2[2].channel), (1, 'BF'))
self.assertTupleEqual((self.nd2[2].z_level, self.nd2[2].channel), (1, ''))
self.assertTupleEqual((self.nd2[3].z_level, self.nd2[3].channel), (1, 'GFP'))
self.assertTupleEqual((self.nd2[4].z_level, self.nd2[4].channel), (2, 'BF'))
self.assertTupleEqual((self.nd2[4].z_level, self.nd2[4].channel), (2, ''))
self.assertIsNone(self.nd2[5])
self.assertTupleEqual((self.nd2[6].z_level, self.nd2[6].channel), (0, 'BF'))
self.assertTupleEqual((self.nd2[6].z_level, self.nd2[6].channel), (0, ''))
self.assertIsNone(self.nd2[7])
self.assertTupleEqual((self.nd2[8].z_level, self.nd2[8].channel), (1, 'BF'))
self.assertTupleEqual((self.nd2[8].z_level, self.nd2[8].channel), (1, ''))
self.assertTupleEqual((self.nd2[9].z_level, self.nd2[9].channel), (1, 'GFP'))
self.assertTupleEqual((self.nd2[10].z_level, self.nd2[10].channel), (2, 'BF'))
self.assertTupleEqual((self.nd2[10].z_level, self.nd2[10].channel), (2, ''))
self.assertIsNone(self.nd2[11])
self.assertTupleEqual((self.nd2[12].z_level, self.nd2[12].channel), (0, 'BF'))
self.assertTupleEqual((self.nd2[12].z_level, self.nd2[12].channel), (0, ''))
self.assertIsNone(self.nd2[13])
self.assertTupleEqual((self.nd2[14].z_level, self.nd2[14].channel), (1, 'BF'))
self.assertTupleEqual((self.nd2[14].z_level, self.nd2[14].channel), (1, ''))
self.assertTupleEqual((self.nd2[15].z_level, self.nd2[15].channel), (1, 'GFP'))
self.assertTupleEqual((self.nd2[16].z_level, self.nd2[16].channel), (2, 'BF'))
self.assertTupleEqual((self.nd2[16].z_level, self.nd2[16].channel), (2, ''))
self.assertIsNone(self.nd2[17])
self.assertTupleEqual((self.nd2[18].z_level, self.nd2[18].channel), (0, 'BF'))
self.assertTupleEqual((self.nd2[18].z_level, self.nd2[18].channel), (0, ''))
self.assertIsNone(self.nd2[19])
self.assertIsNone(self.nd2[47])
self.assertTupleEqual((self.nd2[48].z_level, self.nd2[48].channel), (0, 'BF'))
self.assertTupleEqual((self.nd2[48].z_level, self.nd2[48].channel), (0, ''))
self.assertIsNone(self.nd2[49])
self.assertTupleEqual((self.nd2[50].z_level, self.nd2[50].channel), (1, 'BF'))
self.assertTupleEqual((self.nd2[50].z_level, self.nd2[50].channel), (1, ''))
self.assertIsNone(self.nd2[51])
self.assertTupleEqual((self.nd2[52].z_level, self.nd2[52].channel), (2, 'BF'))
self.assertTupleEqual((self.nd2[52].z_level, self.nd2[52].channel), (2, ''))
self.assertIsNone(self.nd2[53])
self.assertTupleEqual((self.nd2[54].z_level, self.nd2[54].channel), (0, 'BF'))
self.assertTupleEqual((self.nd2[54].z_level, self.nd2[54].channel), (0, ''))
def test_get_image_by_attribute_none(self):
# Should handle missing images without an exception
image = self.nd2.get_image(4, 0, "GFP", 0)
image = self.nd2.get_image(4, 0, 'GFP', 0)
self.assertIsNone(image)
def test_index(self):
@ -122,7 +122,7 @@ class FunctionalTests(unittest.TestCase):
def test_select(self):
# If we take the first 20 GFP images, they should be identical to the first 20 items iterated from select()
# if we set our criteria to just "GFP"
# if we set our criteria to just 'GFP'
manual_images = []
for _, image in zip(range(20), self.nd2):
if image is not None and image.channel == 'GFP':
@ -144,7 +144,7 @@ class FunctionalTests(unittest.TestCase):
def test_filter_order_all(self):
# If we select every possible image using select(), we should just get every image in order
n = 0
for image in self.nd2.select(channels=['BF', 'GFP'], z_levels=[0, 1, 2], fields_of_view=list(range(8))):
for image in self.nd2.select(channels=['', 'GFP'], z_levels=[0, 1, 2], fields_of_view=list(range(8))):
while True:
indexed_image = self.nd2[n]
if indexed_image is not None:
@ -159,9 +159,9 @@ class FunctionalTests(unittest.TestCase):
# Test that images are always yielded in increasing order. This guarantees that no matter what subset of images
# we're filtering, we still get them in the chronological order they were acquired
n = -1
for image in self.nd2.select(channels='BF', z_levels=[0, 1], fields_of_view=[1, 2, 4]):
for image in self.nd2.select(channels='', z_levels=[0, 1], fields_of_view=[1, 2, 4]):
self.assertGreater(image.index, n)
self.assertEqual(image.channel, 'BF')
self.assertEqual(image.channel, '')
self.assertIn(image.field_of_view, (1, 2, 4))
self.assertIn(image.z_level, (0, 1))
n = image.index


+ 1
- 1
nd2reader/main.py View File

@ -76,7 +76,7 @@ class Nd2(object):
channels = self._to_tuple(channels, self.channels)
z_levels = self._to_tuple(z_levels, self.z_levels)
for frame in self.frames:
for frame in range(len(self)):
field_of_view, channel, z_level = self._parser.driver.calculate_image_properties(frame)
if field_of_view in fields_of_view and channel in channels and z_level in z_levels:
image = self._parser.driver.get_image(frame)


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