def test_transform_schema_NoOp(self): from lale.datasets.data_schemas import to_schema for ds in [ self._irisArr, self._irisDf, self._digits, self._housing, self._creditG, self._movies, self._drugRev ]: s_input = to_schema(ds['X']) s_output = NoOp.transform_schema(s_input) self.assertIs(s_input, s_output)
def test_transform_schema_NoOp(self): with EnableSchemaValidation(): from lale.datasets.data_schemas import to_schema for ds in [ self._irisArr, self._irisDf, self._digits, self._housing, self._creditG, self._movies, self._drugRev, ]: assert ds is not None s_input = to_schema(ds["X"]) s_output = NoOp.transform_schema(s_input) self.assertIs(s_input, s_output)
def test_transform_schema_NoOp(self): from lale.datasets.data_schemas import to_schema existing_flag = disable_data_schema_validation set_disable_data_schema_validation(False) for ds in [ self._irisArr, self._irisDf, self._digits, self._housing, self._creditG, self._movies, self._drugRev, ]: s_input = to_schema(ds["X"]) s_output = NoOp.transform_schema(s_input) self.assertIs(s_input, s_output) set_disable_data_schema_validation(existing_flag)