def test_tables_import_fail(self, tmp_path: Path, df_example: TfsDataFrame,
monkeypatch):
out_file = tmp_path / "data_frame.h5"
monkeypatch.setattr('tfs.hdf.tables', None)
with pytest.raises(ImportError) as e:
write_hdf(out_file, df_example)
assert 'tables' in str(e)
with pytest.raises(ImportError) as e:
read_hdf(out_file)
assert 'tables' in str(e)
def test_read_write(self, tmp_path: Path, df_example: TfsDataFrame):
"""Basic read-write loop test for TfsDataFrames to hdf5 format."""
out_file = tmp_path / "data_frame.h5"
write_hdf(out_file, df_example)
assert out_file.is_file()
df_read = read_hdf(out_file)
assert_tfs_frame_equal(df_example, df_read)
def test_write_empty_frame(self, tmp_path: Path):
"""Test writing an empty TfsDataFrame."""
df_example = TfsDataFrame()
out_file = tmp_path / "data_frame.h5"
write_hdf(out_file, df_example)
assert out_file.is_file()
df_read = read_hdf(out_file)
assert_tfs_frame_equal(df_example, df_read)
def test_write_empty_data(self, tmp_path: Path, df_example: TfsDataFrame):
"""Test writing a TfsDataFrame with empty data."""
df_example = TfsDataFrame(headers=df_example.headers)
out_file = tmp_path / "data_frame.h5"
write_hdf(out_file, df_example)
assert out_file.is_file()
df_read = read_hdf(out_file)
assert_tfs_frame_equal(df_example, df_read)
def test_write_compression(self, tmp_path: Path):
"""Test that compression works and compressed files are readable."""
n = 1000
df_example = TfsDataFrame(
data=np.zeros([n, n]), # highly compressible data
headers={"Random": "Data"})
out_file = tmp_path / "data_frame.h5"
write_hdf(out_file, df_example, complevel=0)
assert out_file.is_file()
out_file_compressed = tmp_path / "data_frame_comp.h5"
write_hdf(out_file_compressed, df_example, complevel=9)
assert out_file_compressed.is_file()
assert out_file.stat().st_size > out_file_compressed.stat().st_size
df_read = read_hdf(out_file)
assert_tfs_frame_equal(df_example, df_read)
df_read_compressed = read_hdf(out_file_compressed)
assert_tfs_frame_equal(df_example, df_read_compressed)