def __getitem__(self, item):
# Load a data file
df = pd.read_feather(self.files[item])
# Run the data preprocessing pipeline, which should return the features
# and label tensors
features, labels = self.process_pipeline(self, df)
return features, labels
def test_from_feather():
setup_feather_file(SMALL_ROW_SIZE)
pandas_df = pandas.read_feather(TEST_FEATHER_FILENAME)
modin_df = pd.read_feather(TEST_FEATHER_FILENAME)
assert modin_df_equals_pandas(modin_df, pandas_df)
teardown_feather_file()
