def test_write(self): for fp, obj in zip(self.valid_fps, self.ordination_results_objs): fh = StringIO() _ordination_results_to_ordres(obj, fh) obs = fh.getvalue() fh.close() with open(fp, 'U') as fh: exp = fh.read() npt.assert_equal(obs, exp)
def test_roundtrip_read_write(self): for fp in self.valid_fps: # Read. obj1 = _ordres_to_ordination_results(fp) # Write. fh = StringIO() _ordination_results_to_ordres(obj1, fh) fh.seek(0) # Read. obj2 = _ordres_to_ordination_results(fh) fh.close() assert_ordination_results_equal(obj1, obj2)
def test_to_file(self): """Should serialize a DissimilarityMatrix to file.""" for dm_f_line, dm in zip(self.dm_f_lines, self.dms): for file_type in ('file like', 'file name'): if file_type == 'file like': obs_f = StringIO() dm.to_file(obs_f) obs = obs_f.getvalue() obs_f.close() elif file_type == 'file name': with tempfile.NamedTemporaryFile('r+') as temp_file: dm.to_file(temp_file.name) temp_file.flush() temp_file.seek(0) obs = temp_file.read() self.assertEqual(obs, dm_f_line)
def test_to_file(self): """Should serialize a DissimilarityMatrix to file.""" for dm_f_line, dm in zip(self.dm_f_lines, self.dms): for file_type in ('file like', 'file name'): if file_type == 'file like': obs_f = StringIO() dm.to_file(obs_f) obs = obs_f.getvalue() obs_f.close() elif file_type == 'file name': with tempfile.NamedTemporaryFile('r+') as temp_file: dm.to_file(temp_file.name) temp_file.flush() temp_file.seek(0) obs = temp_file.read() self.assertEqual(obs, dm_f_line)
def test_to_file(self): for scores, test_path in zip(self.scores, self.test_paths): for file_type in ('file like', 'file name'): if file_type == 'file like': obs_f = StringIO() scores.to_file(obs_f) obs = obs_f.getvalue() obs_f.close() elif file_type == 'file name': with tempfile.NamedTemporaryFile('r+') as temp_file: scores.to_file(temp_file.name) temp_file.flush() temp_file.seek(0) obs = temp_file.read() with open(get_data_path(test_path), 'U') as f: exp = f.read() yield npt.assert_equal, obs, exp
def test_to_file(self): for scores, test_path in zip(self.scores, self.test_paths): for file_type in ('file like', 'file name'): if file_type == 'file like': obs_f = StringIO() scores.to_file(obs_f) obs = obs_f.getvalue() obs_f.close() elif file_type == 'file name': with tempfile.NamedTemporaryFile('r+') as temp_file: scores.to_file(temp_file.name) temp_file.flush() temp_file.seek(0) obs = temp_file.read() with open(get_data_path(test_path), 'U') as f: exp = f.read() yield npt.assert_equal, obs, exp
def test_roundtrip_read_write(self): for reader_fn, writer_fn, fhs in ((_dm_to_dissimilarity_matrix, _dissimilarity_matrix_to_dm, self.dissim_fhs), (_dm_to_distance_matrix, _distance_matrix_to_dm, self.dist_fhs)): for fh in fhs: # Read. dm1 = reader_fn(fh) # Write. out_fh = StringIO() writer_fn(dm1, out_fh) out_fh.seek(0) # Read. dm2 = reader_fn(out_fh) out_fh.close() self.assertEqual(dm1, dm2)
def test_write(self): for fn, objs, strs in ((_dissimilarity_matrix_to_dm, self.dissim_objs, self.dissim_strs), (_distance_matrix_to_dm, self.dist_objs, self.dist_strs)): for obj, str_ in zip(objs, strs): fh = StringIO() fn(obj, fh) obs = fh.getvalue() fh.close() self.assertEqual(obs, str_) # Test writing CSV (TSV is written above). for fn, cls in ((_dissimilarity_matrix_to_dm, DissimilarityMatrix), (_distance_matrix_to_dm, DistanceMatrix)): obj = cls(self.dm_3x3_data, ['a', 'b', 'c']) fh = StringIO() fn(obj, fh, delimiter=',') obs = fh.getvalue() fh.close() self.assertEqual(obs, DM_3x3_CSV)