def setUp(self): AbstractPlateAnalysisCtx.DEFAULT_ORIGINAL_FILE_PROVIDER = \ FromFileOriginalFileProvider original_files = list() # Create our container images and an original file image map images = list() n_images = 0 for row in range(16): for column in range(24): well = WellI(n_images, True) well.column = rint(column) well.row = rint(row) well_sample = WellSampleI(n_images, True) well_sample.well = well image = ImageI(n_images, True) image.addWellSample(well_sample) images.append(image) original_file_image_map = dict() # Our required original file format format = rstring('Companion/InCell') # Create original file representing the result file o = OriginalFileI(1, True) o.name = rstring(self.RESULT_FILE) o.path = rstring(os.path.join(self.ROOT, self.RESULT_FILE)) o.mimetype = format original_files.append(o) # [1] = o original_file_image_map[1] = image sf = TestingServiceFactory() self.analysis_ctx = InCellPlateAnalysisCtx(images, original_files, original_file_image_map, 1, sf)
class InCellParseRoiTest(unittest.TestCase): ROOT = "/Users/callan/testimages" RESULT_FILE = "Mara_488 and hoechst_P-HisH3.xml" def setUp(self): AbstractPlateAnalysisCtx.DEFAULT_ORIGINAL_FILE_PROVIDER = \ FromFileOriginalFileProvider original_files = list() # Create our container images and an original file image map images = list() n_images = 0 for row in range(16): for column in range(24): well = WellI(n_images, True) well.column = rint(column) well.row = rint(row) well_sample = WellSampleI(n_images, True) well_sample.well = well image = ImageI(n_images, True) image.addWellSample(well_sample) images.append(image) original_file_image_map = dict() # Our required original file format format = rstring('Companion/InCell') # Create original file representing the result file o = OriginalFileI(1, True) o.name = rstring(self.RESULT_FILE) o.path = rstring(os.path.join(self.ROOT, self.RESULT_FILE)) o.mimetype = format original_files.append(o) # [1] = o original_file_image_map[1] = image sf = TestingServiceFactory() self.analysis_ctx = InCellPlateAnalysisCtx(images, original_files, original_file_image_map, 1, sf) def test_get_measurement_ctx(self): ctx = self.analysis_ctx.get_measurement_ctx(0) self.assertNotEqual(None, ctx) def test_get_columns(self): ctx = self.analysis_ctx.get_measurement_ctx(0) columns = ctx.parse() self.assertNotEqual(None, columns) for column in columns: print('Column: %s' % column.name) self.assertEqual(33, len(columns)) for column in columns: self.assertEqual(114149, len(column.values))
class InCellParseRoiTest(unittest.TestCase): ROOT = "/Users/callan/testimages" RESULT_FILE = "Mara_488 and hoechst_P-HisH3.xml" def setUp(self): AbstractPlateAnalysisCtx.DEFAULT_ORIGINAL_FILE_PROVIDER = \ FromFileOriginalFileProvider original_files = list() # Create our container images and an original file image map images = list() n_images = 0 for row in range(16): for column in range(24): well = WellI(n_images, True) well.column = rint(column) well.row = rint(row) well_sample = WellSampleI(n_images, True) well_sample.well = well image = ImageI(n_images, True) image.addWellSample(well_sample) images.append(image) original_file_image_map = dict() # Our required original file format format = rstring('Companion/InCell') # Create original file representing the result file o = OriginalFileI(1L, True) o.name = rstring(self.RESULT_FILE) o.path = rstring(os.path.join(self.ROOT, self.RESULT_FILE)) o.mimetype = format original_files.append(o) # [1L] = o original_file_image_map[1L] = image sf = TestingServiceFactory() self.analysis_ctx = InCellPlateAnalysisCtx( images, original_files, original_file_image_map, 1L, sf) def test_get_measurement_ctx(self): ctx = self.analysis_ctx.get_measurement_ctx(0) self.assertNotEqual(None, ctx) def test_get_columns(self): ctx = self.analysis_ctx.get_measurement_ctx(0) columns = ctx.parse() self.assertNotEqual(None, columns) for column in columns: print 'Column: %s' % column.name self.assertEqual(33, len(columns)) for column in columns: self.assertEqual(114149, len(column.values))
def setUp(self): AbstractPlateAnalysisCtx.DEFAULT_ORIGINAL_FILE_PROVIDER = \ FromFileOriginalFileProvider original_files = list() # Create our container images and an original file image map images = list() n_images = 0 for row in range(16): for column in range(24): well = WellI(n_images, True) well.column = rint(column) well.row = rint(row) well_sample = WellSampleI(n_images, True) well_sample.well = well image = ImageI(n_images, True) image.addWellSample(well_sample) images.append(image) original_file_image_map = dict() # Our required original file format format = rstring('Companion/InCell') # Create original file representing the result file o = OriginalFileI(1L, True) o.name = rstring(self.RESULT_FILE) o.path = rstring(os.path.join(self.ROOT, self.RESULT_FILE)) o.mimetype = format original_files.append(o) # [1L] = o original_file_image_map[1L] = image sf = TestingServiceFactory() self.analysis_ctx = InCellPlateAnalysisCtx( images, original_files, original_file_image_map, 1L, sf)