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{"receipt_id":"agent1-6","seq":6,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-1c9288486ac84858b23447c8da621959/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-1c9288486ac84858b23447c8da621959/receipts_pytest.py tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-6.xml","path":null,"exit_code":1,"stdout_tail":"etric_dataset_save_with_run_id[None]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args1]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args2]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args3]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args4]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_append_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_overwrite_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_logged_by_default_if_unordered\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_given_step\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_given_step_if_duplicated\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist\nFAILED tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]\nFAILED tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace\nFAILED tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction - As...\nFAILED tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace\nFAILED tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction - As...\n====== 84 failed, 147 passed, 1 skipped, 221 warnings in 71.43s (0:01:11) 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ve_load[dict-list]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist","tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction"],"errors":[],"skipped":["tests/config/test_resolvers.py::test_resolve_random_name_is_idempotent"],"collection_errors":[],"failure_text":{"tests/framework/cli/test_cli_modelify.py::test_modelify_with_infer_input_example[True]":"[...]ained_model\", 2)\n            catalog.save(\"my_input_data\", my_input_data)\n    \n        runs_id_set_before_cmd = {\n            run.info.run_id\n            for run in context.mlflow.server._mlflow_client.search_runs(\n                context.mlflow.tracking.experiment._experiment.experiment_id\n            )\n        }\n    \n        cmd = [\n            \"--pipeline\",\n            \"inference\",\n            \"--input-name\",\n            \"my_input_data\",\n            \"--infer-input-example\",\n        ]\n        if flag_infer_signature:\n            cmd.append(\"--infer-signature\")\n    \n        result = cli_runner.invoke(\n            cli_modelify,\n            cmd,\n            catch_exceptions=True,\n        )\n    \n        assert result.exit_code == 0\n    \n        runs_id_set_after_cmd = {\n            run.info.run_id\n            for run in context.mlflow.server._mlflow_client.search_runs(\n                context.mlflow.tracking.experiment._experiment.experiment_id\n            )\n        }\n    \n        new_run_id = list(runs_id_set_after_cmd - runs_id_set_before_cmd)[0]\n    \n        loaded_model = mlflow.pyfunc.load_model(f\"runs:/{new_run_id}/model\")\n    \n>       assert loaded_model.metadata.saved_input_example_info == {\n            \"artifact_path\": \"input_example.json\",\n            \"pandas_orient\": \"split\",\n            \"type\": \"dataframe\",\n            \"serving_input_path\": \"serving_input_payload.json\",\n        }\nE       AssertionError: assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\nE         Omitting 3 identical items, use -vv to show\nE         Differing items:\nE         {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\nE         Full diff:\nE           {\nE            'artifact_path': 'input_example.json',\nE            'pandas_orient': 'split',...\nE         \nE         ...Full output truncated (6 lines hidden), use '-vv' to show\n\n/kedro-mlflow/tests/framework/cli/test_cli_modelify.py:465: AssertionError","tests/framework/cli/test_cli_modelify.py::test_modelify_with_infer_input_example[False]":"[...]ained_model\", 2)\n            catalog.save(\"my_input_data\", my_input_data)\n    \n        runs_id_set_before_cmd = {\n            run.info.run_id\n            for run in context.mlflow.server._mlflow_client.search_runs(\n                context.mlflow.tracking.experiment._experiment.experiment_id\n            )\n        }\n    \n        cmd = [\n            \"--pipeline\",\n            \"inference\",\n            \"--input-name\",\n            \"my_input_data\",\n            \"--infer-input-example\",\n        ]\n        if flag_infer_signature:\n            cmd.append(\"--infer-signature\")\n    \n        result = cli_runner.invoke(\n            cli_modelify,\n            cmd,\n            catch_exceptions=True,\n        )\n    \n        assert result.exit_code == 0\n    \n        runs_id_set_after_cmd = {\n            run.info.run_id\n            for run in context.mlflow.server._mlflow_client.search_runs(\n                context.mlflow.tracking.experiment._experiment.experiment_id\n            )\n        }\n    \n        new_run_id = list(runs_id_set_after_cmd - runs_id_set_before_cmd)[0]\n    \n        loaded_model = mlflow.pyfunc.load_model(f\"runs:/{new_run_id}/model\")\n    \n>       assert loaded_model.metadata.saved_input_example_info == {\n            \"artifact_path\": \"input_example.json\",\n            \"pandas_orient\": \"split\",\n            \"type\": \"dataframe\",\n            \"serving_input_path\": \"serving_input_payload.json\",\n        }\nE       AssertionError: assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\nE         Omitting 3 identical items, use -vv to show\nE         Differing items:\nE         {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\nE         Full diff:\nE           {\nE            'artifact_path': 'input_example.json',\nE            'pandas_orient': 'split',...\nE         \nE         ...Full output truncated (6 lines hidden), use '-vv' to show\n\n/kedro-mlflow/tests/framework/cli/test_cli_modelify.py:465: AssertionError","tests/framework/hooks/test_hook_active_run.py::test_hook_use_active_run_if_exist_and_do_not_close":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `886584337239453582` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/framework/hooks/test_hook_active_run.py::test_hook_active_run_exists_with_different_tracking_uri":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `886584337239453582` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_but_not_for_given_pipeline":"[...]un(pipeline, catalog, hook_or_null_manager, session_id)  # type: ignore[arg-type]\n/usr/local/lib/python3.10/site-packages/kedro/runner/sequential_runner.py:72: in _run\n    super()._run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:245: in _run\n    ).execute()\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:88: in execute\n    node = self._run_node_sequential(\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:186: in _run_node_sequential\n    catalog.save(name, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/data_catalog.py:452: in save\n    dataset.save(data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = kedro_mlflow.io.artifacts.mlflow_artifact_dataset.MlflowPickleDataset(filepath=PurePosixPath('/tmp/pytest-of-root/pyte...ivated_tracking_but_0/mock_package_name/fake_data.pkl'), backend='pickle', protocol='file', load_args={}, save_args={})\ndata = 'my_param_a'\n\n    @wraps(save_func)\n    def save(self: Self, data: _DI) -> None:\n        if data is None:\n            raise DatasetError(\"Saving 'None' to a 'Dataset' is not allowed\")\n    \n        try:\n            self._logger.debug(\"Saving %s\", str(self))\n            save_func(self, data)\n        except (DatasetError, FileNotFoundError, NotADirectoryError):\n            raise\n        except Exception as exc:\n            message = f\"Failed while saving data to dataset {self!s}.\\n{exc!s}\"\n>           raise DatasetError(message) from exc\nE           kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-2/test_deactivated_tracking_but_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\nE           'super' object has no attribute '_save'\n\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: DatasetError","tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_for_given_pipeline":"[...]un(pipeline, catalog, hook_or_null_manager, session_id)  # type: ignore[arg-type]\n/usr/local/lib/python3.10/site-packages/kedro/runner/sequential_runner.py:72: in _run\n    super()._run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:245: in _run\n    ).execute()\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:88: in execute\n    node = self._run_node_sequential(\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:186: in _run_node_sequential\n    catalog.save(name, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/data_catalog.py:452: in save\n    dataset.save(data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = kedro_mlflow.io.artifacts.mlflow_artifact_dataset.MlflowPickleDataset(filepath=PurePosixPath('/tmp/pytest-of-root/pyte...ivated_tracking_for_0/mock_package_name/fake_data.pkl'), backend='pickle', protocol='file', load_args={}, save_args={})\ndata = 'my_param_a'\n\n    @wraps(save_func)\n    def save(self: Self, data: _DI) -> None:\n        if data is None:\n            raise DatasetError(\"Saving 'None' to a 'Dataset' is not allowed\")\n    \n        try:\n            self._logger.debug(\"Saving %s\", str(self))\n            save_func(self, data)\n        except (DatasetError, FileNotFoundError, NotADirectoryError):\n            raise\n        except Exception as exc:\n            message = f\"Failed while saving data to dataset {self!s}.\\n{exc!s}\"\n>           raise DatasetError(message) from exc\nE           kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-2/test_deactivated_tracking_for_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\nE           'super' object has no attribute '_save'\n\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: DatasetError","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[CSVDataset-.csv-df1-None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pandas.CSVDataset-.csv-df1-None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[PickleDataset-.pkl-df1-None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pickle.PickleDataset-.pkl-df1-None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[CSVDataset-.csv-df1-artifact_dir]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pandas.CSVDataset-.csv-df1-artifact_dir]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[PickleDataset-.pkl-df1-artifact_dir]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pickle.PickleDataset-.pkl-df1-artifact_dir]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_save_with_run_id[False]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_save_with_run_id[True]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_is_versioned_dataset_logged_correctly_in_mlflow":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_logging_deactivation":"[...]ct_dataset_logging_deactivation(tmp_path, mlflow_client):\n        mlflow_pkl_dataset = MlflowArtifactDataset(\n            dataset=dict(type=PickleDataset, filepath=(tmp_path / \"df1.csv\").as_posix())\n        )\n    \n        mlflow_pkl_dataset._logging_activated = False\n    \n        all_runs_id_beginning = {\n            run.run_id\n            for k in range(len(mlflow_client.search_experiments()))\n            for run in mlflow_client.search_runs(experiment_ids=f\"{k}\")\n        }\n    \n>       mlflow_pkl_dataset.save(2)\n\ntests/io/artifacts/test_mlflow_artifact_dataset.py:175: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = kedro_mlflow.io.artifacts.mlflow_artifact_dataset.MlflowPickleDataset(filepath=PurePosixPath('/tmp/pytest-of-root/pytest-2/test_artifact_dataset_logging_0/df1.csv'), backend='pickle', protocol='file', load_args={}, save_args={})\ndata = 2\n\n    @wraps(save_func)\n    def save(self: Self, data: _DI) -> None:\n        if data is None:\n            raise DatasetError(\"Saving 'None' to a 'Dataset' is not allowed\")\n    \n        try:\n            self._logger.debug(\"Saving %s\", str(self))\n            save_func(self, data)\n        except (DatasetError, FileNotFoundError, NotADirectoryError):\n            raise\n        except Exception as exc:\n            message = f\"Failed while saving data to dataset {self!s}.\\n{exc!s}\"\n>           raise DatasetError(message) from exc\nE           kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-2/test_artifact_dataset_logging_0/df1.csv, load_args={}, protocol=file, save_args={}).\nE           'super' object has no attribute '_save'\n\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: DatasetError","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[folder]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[folder/subfolder]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_partitioned_dataset_save_and_reload[None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_partitioned_dataset_save_and_reload[partitioned_data]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_wrong_save_mode":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args1]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args2]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args3]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args4]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `438216489470205376` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-7","seq":7,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-753952c5835e42d58346964aa0827b64/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-753952c5835e42d58346964aa0827b64/receipts_pytest.py tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction -v --tb=short -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-7.xml","path":null,"exit_code":1,"stdout_tail":"etric_dataset_save_with_run_id[None]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args1]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args2]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args3]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args4]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_append_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_overwrite_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_logged_by_default_if_unordered\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_given_step\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_given_step_if_duplicated\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist\nFAILED tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]\nFAILED tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace\nFAILED tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction - As...\nFAILED tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace\nFAILED tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction - As...\n====== 84 failed, 147 passed, 1 skipped, 221 warnings in 68.28s (0:01:08) ======\n","stderr_tail":"","stdout_sha256":"724d60cbf06b277b16d5b19e099f224ed2f7c4afb406bfe58f9f0d3f36e03f8d","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-7.log","tree_digest":"e35f2f4e2de040169d59308b94b92d9b0cede0be1d0a734c1e8b09ab0ca857b9","tree_download_s":2.9116149169858545,"started_at":"2026-10-03T19:40:22.912605Z","duration_s":61.941942,"timed_out":false,"image_before":"f4d99033-7359-404a-968d-7cc940f2c2bc","image_after":"73184877-cd3b-42b0-b67c-e1b2b7a0971e","junit":{"passed":["tests/test_utils.py::test_parse_requirements","tests/config/test_get_mlflow_config.py::test_mlflow_config_default","tests/config/test_get_mlflow_config.py::test_mlflow_config_in_uninitialized_project[None]","tests/config/test_get_mlflow_config.py::test_mlflow_config_in_uninitialized_project[fake_project]","tests/config/test_get_mlflow_config.py::test_mlflow_config_with_no_experiment_name","tests/config/test_get_mlflow_config.py::test_mlflow_config_correctly_set[]","tests/config/test_get_mlflow_config.py::test_mlflow_config_correctly_set[mock_settings_omega_config_loader_class]","tests/config/test_get_mlflow_config.py::test_mlflow_config_interpolated_with_globals_resolver","tests/config/test_get_mlflow_config.py::test_mlflow_config_with_request_header_provider","tests/config/test_get_mlflow_config.py::test_mlflow_config_with_request_header_provider_with_init_kwargs","tests/config/test_get_mlflow_config.py::test_mlflow_config_with_request_header_provider_with_with_context","tests/config/test_get_mlflow_config.py::test_mlflow_config_with_bad_request_header_provider","tests/config/test_kedro_mlflow_config.py::test_kedro_mlflow_config_init","tests/config/test_kedro_mlflow_config.py::test_kedro_mlflow_config_new_experiment_does_not_exists","tests/config/test_kedro_mlflow_config.py::test_kedro_mlflow_config_with_use_env_tracking_uri","tests/config/test_kedro_mlflow_config.py::test_kedro_mlflow_config_experiment_exists","tests/config/test_kedro_mlflow_config.py::test_kedro_mlflow_config_experiment_was_deleted","tests/config/test_kedro_mlflow_config.py::test_kedro_mlflow_config_setup_set_experiment_globally","tests/config/test_kedro_mlflow_config.py::test_kedro_mlflow_config_setup_set_tracking_uri","tests/config/test_kedro_mlflow_config.py::test_kedro_mlflow_config_setup_set_registry_uri","tests/config/test_kedro_mlflow_config.py::test_kedro_mlflow_config_setup_export_credentials","tests/config/test_kedro_mlflow_config.py::test_kedro_mlflow_config_setup_tracking_priority","tests/config/test_kedro_mlflow_config.py::test_validate_uri_local_relative_path","tests/config/test_kedro_mlflow_config.py::test_validate_uri_local_absolute_posix","tests/config/test_kedro_mlflow_config.py::test_validate_uri_local_absolute_uri","tests/config/test_kedro_mlflow_config.py::test_kedro_mlflow_config_validate_uri_databricks","tests/config/test_kedro_mlflow_config.py::test_from_dict_to_dict_idempotent","tests/config/test_resolvers.py::test_resolve_random_name_is_valid_mlflow_name","tests/config/test_resolvers.py::test_resolve_random_name_is_registered","tests/config/test_resolvers.py::test_resolve_random_name_is_called_in_project","tests/framework/cli/test_cli.py::test_cli_global_discovered","tests/framework/cli/test_cli.py::test_mlflow_commands_inside_kedro_project[True]","tests/framework/cli/test_cli.py::test_mlflow_commands_inside_kedro_project[False]","tests/framework/cli/test_cli.py::test_cli_init[True]","tests/framework/cli/test_cli.py::test_cli_init[False]","tests/framework/cli/test_cli.py::test_cli_init_existing_config","tests/framework/cli/test_cli.py::test_cli_init_existing_config_force_option","tests/framework/cli/test_cli.py::test_cli_init_with_env[base]","tests/framework/cli/test_cli.py::test_cli_init_with_env[local]","tests/framework/cli/test_cli.py::test_cli_init_with_wrong_env[debug]","tests/framework/cli/test_cli.py::test_cli_ui_is_up[True]","tests/framework/cli/test_cli.py::test_cli_ui_is_up[False]","tests/framework/cli/test_cli.py::test_ui_overwrite_conf_at_runtime","tests/framework/cli/test_cli.py::test_ui_open_http_uri","tests/framework/cli/test_cli_modelify.py::test_modelify_logs_in_mlflow_even_inside_subdirectory[kp_for_modelify-artifacts_list0-False]","tests/framework/cli/test_cli_modelify.py::test_modelify_logs_in_mlflow_even_inside_subdirectory[kp_for_modelify-artifacts_list1-True]","tests/framework/cli/test_cli_modelify.py::test_modelify_logs_in_mlflow_even_inside_subdirectory[kp_for_modelify_with_parameters-artifacts_list2-False]","tests/framework/cli/test_cli_modelify.py::test_modelify_informative_error_on_invalid_input_name","tests/framework/cli/test_cli_modelify.py::test_modelify_with_artifact_path_arg","tests/framework/cli/test_cli_modelify.py::test_modelify_with_infer_signature_arg","tests/framework/cli/test_cli_modelify.py::test_modelify_with_pip_requirements","tests/framework/cli/test_cli_modelify.py::test_modelif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ave_load[dict-list]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist","tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction"],"errors":[],"skipped":["tests/config/test_resolvers.py::test_resolve_random_name_is_idempotent"],"collection_errors":[],"failure_text":{"tests/framework/cli/test_cli_modelify.py::test_modelify_with_infer_input_example[True]":"AssertionError: assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\n  Omitting 3 identical items, use -vv to show\n  Differing items:\n  {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\n  Full diff:\n    {\n     'artifact_path': 'input_example.json',\n     'pandas_orient': 'split',...\n  \n  ...Full output truncated (6 lines hidden), use '-vv' to show\n/kedro-mlflow/tests/framework/cli/test_cli_modelify.py:465: in test_modelify_with_infer_input_example\n    assert loaded_model.metadata.saved_input_example_info == {\nE   AssertionError: assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\nE     Omitting 3 identical items, use -vv to show\nE     Differing items:\nE     {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\nE     Full diff:\nE       {\nE        'artifact_path': 'input_example.json',\nE        'pandas_orient': 'split',...\nE     \nE     ...Full output truncated (6 lines hidden), use '-vv' to show","tests/framework/cli/test_cli_modelify.py::test_modelify_with_infer_input_example[False]":"AssertionError: assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\n  Omitting 3 identical items, use -vv to show\n  Differing items:\n  {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\n  Full diff:\n    {\n     'artifact_path': 'input_example.json',\n     'pandas_orient': 'split',...\n  \n  ...Full output truncated (6 lines hidden), use '-vv' to show\n/kedro-mlflow/tests/framework/cli/test_cli_modelify.py:465: in test_modelify_with_infer_input_example\n    assert loaded_model.metadata.saved_input_example_info == {\nE   AssertionError: assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\nE     Omitting 3 identical items, use -vv to show\nE     Differing items:\nE     {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\nE     Full diff:\nE       {\nE        'artifact_path': 'input_example.json',\nE        'pandas_orient': 'split',...\nE     \nE     ...Full output truncated (6 lines hidden), use '-vv' to show","tests/framework/hooks/test_hook_active_run.py::test_hook_use_active_run_if_exist_and_do_not_close":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `763391730536797391` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 763391730536797391\n\nThe above exception was the direct cause of the following exception:\ntests/framework/hooks/test_hook_active_run.py:72: in test_hook_use_active_run_if_exist_and_do_not_close\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `763391730536797391` does not exist in the tracking server. Provide a valid experiment_id.","tests/framework/hooks/test_hook_active_run.py::test_hook_active_run_exists_with_different_tracking_uri":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `763391730536797391` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 763391730536797391\n\nThe above exception was the direct cause of the following exception:\ntests/framework/hooks/test_hook_active_run.py:116: in test_hook_active_run_exists_with_different_tracking_uri\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `763391730536797391` does not exist in the tracking server. Provide a valid experiment_id.","tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_but_not_for_given_pipeline":"[...]p/pytest-of-root/pytest-3/test_deactivated_tracking_but_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:324: in save\n    save_func(self, data)\nkedro_mlflow/io/artifacts/mlflow_artifact_dataset.py:65: in _save\n    super()._save(data)\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\ntests/framework/hooks/test_hook_deactivate_tracking.py:244: in test_deactivated_tracking_but_not_for_given_pipeline\n    mock_session.run(pipeline_name=\"pipeline_on\")\n/usr/local/lib/python3.10/site-packages/kedro/framework/session/session.py:399: in run\n    run_result = runner.run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:131: in run\n    self._run(pipeline, catalog, hook_or_null_manager, session_id)  # type: ignore[arg-type]\n/usr/local/lib/python3.10/site-packages/kedro/runner/sequential_runner.py:72: in _run\n    super()._run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:245: in _run\n    ).execute()\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:88: in execute\n    node = self._run_node_sequential(\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:186: in _run_node_sequential\n    catalog.save(name, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/data_catalog.py:452: in save\n    dataset.save(data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: in save\n    raise DatasetError(message) from exc\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-3/test_deactivated_tracking_but_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\nE   'super' object has no attribute '_save'","tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_for_given_pipeline":"[...]ath=/tmp/pytest-of-root/pytest-3/test_deactivated_tracking_for_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:324: in save\n    save_func(self, data)\nkedro_mlflow/io/artifacts/mlflow_artifact_dataset.py:65: in _save\n    super()._save(data)\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\ntests/framework/hooks/test_hook_deactivate_tracking.py:274: in test_deactivated_tracking_for_given_pipeline\n    mock_session.run(pipeline_name=\"pipeline_off\")\n/usr/local/lib/python3.10/site-packages/kedro/framework/session/session.py:399: in run\n    run_result = runner.run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:131: in run\n    self._run(pipeline, catalog, hook_or_null_manager, session_id)  # type: ignore[arg-type]\n/usr/local/lib/python3.10/site-packages/kedro/runner/sequential_runner.py:72: in _run\n    super()._run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:245: in _run\n    ).execute()\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:88: in execute\n    node = self._run_node_sequential(\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:186: in _run_node_sequential\n    catalog.save(name, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/data_catalog.py:452: in save\n    dataset.save(data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: in save\n    raise DatasetError(message) from exc\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-3/test_deactivated_tracking_for_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\nE   'super' object has no attribute '_save'","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[CSVDataset-.csv-df1-None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pandas.CSVDataset-.csv-df1-None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[PickleDataset-.pkl-df1-None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pickle.PickleDataset-.pkl-df1-None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[CSVDataset-.csv-df1-artifact_dir]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pandas.CSVDataset-.csv-df1-artifact_dir]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[PickleDataset-.pkl-df1-artifact_dir]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pickle.PickleDataset-.pkl-df1-artifact_dir]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_save_with_run_id[False]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:79: in test_artifact_dataset_save_with_run_id\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_save_with_run_id[True]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:79: in test_artifact_dataset_save_with_run_id\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_is_versioned_dataset_logged_correctly_in_mlflow":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:122: in test_is_versioned_dataset_logged_correctly_in_mlflow\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_logging_deactivation":"kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-3/test_artifact_dataset_logging_0/df1.csv, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:324: in save\n    save_func(self, data)\nkedro_mlflow/io/artifacts/mlflow_artifact_dataset.py:65: in _save\n    super()._save(data)\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:175: in test_artifact_dataset_logging_deactivation\n    mlflow_pkl_dataset.save(2)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: in save\n    raise DatasetError(message) from exc\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-3/test_artifact_dataset_logging_0/df1.csv, load_args={}, protocol=file, save_args={}).\nE   'super' object has no attribute '_save'","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:204: in test_artifact_dataset_load_with_run_id\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:231: in test_artifact_dataset_load_with_run_id_and_artifact_path\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[folder]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:231: in test_artifact_dataset_load_with_run_id_and_artifact_path\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[folder/subfolder]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:231: in test_artifact_dataset_load_with_run_id_and_artifact_path\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_partitioned_dataset_save_and_reload[None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:266: in test_partitioned_dataset_save_and_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_partitioned_dataset_save_and_reload[partitioned_data]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:266: in test_partitioned_dataset_save_and_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_wrong_save_mode":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:25: in test_mlflow_wrong_save_mode\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args1]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args2]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args3]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args4]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args5]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 145454059701833699\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:76: in test_mlflow_metric_dataset_save_with_run_id\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `145454059701833699` does not exist in the tracking server. Provide a valid experiment_id.","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace":"AssertionError: assert 'kedro-viz but should never be' in ''\n +  where '' = <_pytest.logging.LogCaptureFixture object at 0x7fffb45deb30>.text\ntests/pipeline/test_pipeline_ml.py:281: in test_pipeline_ml_only_nodes_with_namespace\n    assert \"kedro-viz but should never be\" in caplog.text\nE   AssertionError: assert 'kedro-viz but should never be' in ''\nE    +  where '' = <_pytest.logging.LogCaptureFixture object at 0x7fffb45deb30>.text","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction":"AssertionError: assert 'kedro-viz but should never be' in ''\n +  where '' = <_pytest.logging.LogCaptureFixture object at 0x7fffc8f62e60>.text\ntests/pipeline/test_pipeline_ml.py:304: in test_pipeline_ml_substraction\n    assert \"kedro-viz but should never be\" in caplog.text\nE   AssertionError: assert 'kedro-viz but should never be' in ''\nE    +  where '' = <_pytest.logging.LogCaptureFixture object at 0x7fffc8f62e60>.text"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-8","seq":8,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-8e731bca471a466b99cec9dee467a449/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-8e731bca471a466b99cec9dee467a449/receipts_pytest.py tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-8.xml","path":null,"exit_code":1,"stdout_tail":"[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[None]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args1]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args2]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args3]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args4]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_append_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_overwrite_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_logged_by_default_if_unordered\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_given_step\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_given_step_if_duplicated\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist\nFAILED tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]\nFAILED tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace\nFAILED tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction - As...\nFAILED tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace\n====== 83 failed, 147 passed, 1 skipped, 221 warnings in 67.86s (0:01:07) 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True]","tests/framework/cli/test_cli_modelify.py::test_modelify_with_infer_input_example[False]","tests/framework/hooks/test_hook_active_run.py::test_hook_use_active_run_if_exist_and_do_not_close","tests/framework/hooks/test_hook_active_run.py::test_hook_active_run_exists_with_different_tracking_uri","tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_but_not_for_given_pipeline","tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_for_given_pipeline","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[CSVDataset-.csv-df1-None]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pandas.CSVDataset-.csv-df1-None]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[PickleDataset-.pkl-df1-None]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pickle.PickleDataset-.pkl-df1-None]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[CSVDataset-.csv-df1-artifact_dir]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pandas.CSVDataset-.csv-df1-artifact_dir]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[PickleDataset-.pkl-df1-artifact_dir]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pickle.PickleDataset-.pkl-df1-artifact_dir]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_save_with_run_id[False]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_save_with_run_id[True]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_is_versioned_dataset_logged_correctly_in_mlflow","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_logging_deactivation","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[None]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[folder]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[folder/subfolder]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_partitioned_dataset_save_and_reload[None]","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_partitioned_dataset_save_and_reload[partitioned_data]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_wrong_save_mode","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[None]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args1]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args2]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args3]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args4]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args5]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[None]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args1]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args2]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args3]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args4]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args5]","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_append_mode","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_overwrite_mode","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_logged_by_default_if_unordered","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_given_step","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_given_step_if_duplicated","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_logging_deactivation","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-list]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-dict]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-list]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]","tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists","tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist","tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]","tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts","tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]","tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction","tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace"],"errors":[],"skipped":["tests/config/test_resolvers.py::test_resolve_random_name_is_idempotent"],"collection_errors":[],"failure_text":{"tests/framework/cli/test_cli_modelify.py::test_modelify_with_infer_input_example[True]":"[...]ained_model\", 2)\n            catalog.save(\"my_input_data\", my_input_data)\n    \n        runs_id_set_before_cmd = {\n            run.info.run_id\n            for run in context.mlflow.server._mlflow_client.search_runs(\n                context.mlflow.tracking.experiment._experiment.experiment_id\n            )\n        }\n    \n        cmd = [\n            \"--pipeline\",\n            \"inference\",\n            \"--input-name\",\n            \"my_input_data\",\n            \"--infer-input-example\",\n        ]\n        if flag_infer_signature:\n            cmd.append(\"--infer-signature\")\n    \n        result = cli_runner.invoke(\n            cli_modelify,\n            cmd,\n            catch_exceptions=True,\n        )\n    \n        assert result.exit_code == 0\n    \n        runs_id_set_after_cmd = {\n            run.info.run_id\n            for run in context.mlflow.server._mlflow_client.search_runs(\n                context.mlflow.tracking.experiment._experiment.experiment_id\n            )\n        }\n    \n        new_run_id = list(runs_id_set_after_cmd - runs_id_set_before_cmd)[0]\n    \n        loaded_model = mlflow.pyfunc.load_model(f\"runs:/{new_run_id}/model\")\n    \n>       assert loaded_model.metadata.saved_input_example_info == {\n            \"artifact_path\": \"input_example.json\",\n            \"pandas_orient\": \"split\",\n            \"type\": \"dataframe\",\n            \"serving_input_path\": \"serving_input_payload.json\",\n        }\nE       AssertionError: assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\nE         Omitting 3 identical items, use -vv to show\nE         Differing items:\nE         {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\nE         Full diff:\nE           {\nE            'artifact_path': 'input_example.json',\nE            'pandas_orient': 'split',...\nE         \nE         ...Full output truncated (6 lines hidden), use '-vv' to show\n\n/kedro-mlflow/tests/framework/cli/test_cli_modelify.py:465: AssertionError","tests/framework/cli/test_cli_modelify.py::test_modelify_with_infer_input_example[False]":"[...]ained_model\", 2)\n            catalog.save(\"my_input_data\", my_input_data)\n    \n        runs_id_set_before_cmd = {\n            run.info.run_id\n            for run in context.mlflow.server._mlflow_client.search_runs(\n                context.mlflow.tracking.experiment._experiment.experiment_id\n            )\n        }\n    \n        cmd = [\n            \"--pipeline\",\n            \"inference\",\n            \"--input-name\",\n            \"my_input_data\",\n            \"--infer-input-example\",\n        ]\n        if flag_infer_signature:\n            cmd.append(\"--infer-signature\")\n    \n        result = cli_runner.invoke(\n            cli_modelify,\n            cmd,\n            catch_exceptions=True,\n        )\n    \n        assert result.exit_code == 0\n    \n        runs_id_set_after_cmd = {\n            run.info.run_id\n            for run in context.mlflow.server._mlflow_client.search_runs(\n                context.mlflow.tracking.experiment._experiment.experiment_id\n            )\n        }\n    \n        new_run_id = list(runs_id_set_after_cmd - runs_id_set_before_cmd)[0]\n    \n        loaded_model = mlflow.pyfunc.load_model(f\"runs:/{new_run_id}/model\")\n    \n>       assert loaded_model.metadata.saved_input_example_info == {\n            \"artifact_path\": \"input_example.json\",\n            \"pandas_orient\": \"split\",\n            \"type\": \"dataframe\",\n            \"serving_input_path\": \"serving_input_payload.json\",\n        }\nE       AssertionError: assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\nE         Omitting 3 identical items, use -vv to show\nE         Differing items:\nE         {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\nE         Full diff:\nE           {\nE            'artifact_path': 'input_example.json',\nE            'pandas_orient': 'split',...\nE         \nE         ...Full output truncated (6 lines hidden), use '-vv' to show\n\n/kedro-mlflow/tests/framework/cli/test_cli_modelify.py:465: AssertionError","tests/framework/hooks/test_hook_active_run.py::test_hook_use_active_run_if_exist_and_do_not_close":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `116408102287716535` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/framework/hooks/test_hook_active_run.py::test_hook_active_run_exists_with_different_tracking_uri":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `116408102287716535` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_but_not_for_given_pipeline":"[...]un(pipeline, catalog, hook_or_null_manager, session_id)  # type: ignore[arg-type]\n/usr/local/lib/python3.10/site-packages/kedro/runner/sequential_runner.py:72: in _run\n    super()._run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:245: in _run\n    ).execute()\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:88: in execute\n    node = self._run_node_sequential(\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:186: in _run_node_sequential\n    catalog.save(name, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/data_catalog.py:452: in save\n    dataset.save(data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = kedro_mlflow.io.artifacts.mlflow_artifact_dataset.MlflowPickleDataset(filepath=PurePosixPath('/tmp/pytest-of-root/pyte...ivated_tracking_but_0/mock_package_name/fake_data.pkl'), backend='pickle', protocol='file', load_args={}, save_args={})\ndata = 'my_param_a'\n\n    @wraps(save_func)\n    def save(self: Self, data: _DI) -> None:\n        if data is None:\n            raise DatasetError(\"Saving 'None' to a 'Dataset' is not allowed\")\n    \n        try:\n            self._logger.debug(\"Saving %s\", str(self))\n            save_func(self, data)\n        except (DatasetError, FileNotFoundError, NotADirectoryError):\n            raise\n        except Exception as exc:\n            message = f\"Failed while saving data to dataset {self!s}.\\n{exc!s}\"\n>           raise DatasetError(message) from exc\nE           kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-4/test_deactivated_tracking_but_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\nE           'super' object has no attribute '_save'\n\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: DatasetError","tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_for_given_pipeline":"[...]un(pipeline, catalog, hook_or_null_manager, session_id)  # type: ignore[arg-type]\n/usr/local/lib/python3.10/site-packages/kedro/runner/sequential_runner.py:72: in _run\n    super()._run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:245: in _run\n    ).execute()\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:88: in execute\n    node = self._run_node_sequential(\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:186: in _run_node_sequential\n    catalog.save(name, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/data_catalog.py:452: in save\n    dataset.save(data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = kedro_mlflow.io.artifacts.mlflow_artifact_dataset.MlflowPickleDataset(filepath=PurePosixPath('/tmp/pytest-of-root/pyte...ivated_tracking_for_0/mock_package_name/fake_data.pkl'), backend='pickle', protocol='file', load_args={}, save_args={})\ndata = 'my_param_a'\n\n    @wraps(save_func)\n    def save(self: Self, data: _DI) -> None:\n        if data is None:\n            raise DatasetError(\"Saving 'None' to a 'Dataset' is not allowed\")\n    \n        try:\n            self._logger.debug(\"Saving %s\", str(self))\n            save_func(self, data)\n        except (DatasetError, FileNotFoundError, NotADirectoryError):\n            raise\n        except Exception as exc:\n            message = f\"Failed while saving data to dataset {self!s}.\\n{exc!s}\"\n>           raise DatasetError(message) from exc\nE           kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-4/test_deactivated_tracking_for_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\nE           'super' object has no attribute '_save'\n\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: DatasetError","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[CSVDataset-.csv-df1-None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pandas.CSVDataset-.csv-df1-None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[PickleDataset-.pkl-df1-None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pickle.PickleDataset-.pkl-df1-None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[CSVDataset-.csv-df1-artifact_dir]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pandas.CSVDataset-.csv-df1-artifact_dir]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[PickleDataset-.pkl-df1-artifact_dir]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pickle.PickleDataset-.pkl-df1-artifact_dir]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_save_with_run_id[False]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_save_with_run_id[True]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_is_versioned_dataset_logged_correctly_in_mlflow":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_logging_deactivation":"[...]ct_dataset_logging_deactivation(tmp_path, mlflow_client):\n        mlflow_pkl_dataset = MlflowArtifactDataset(\n            dataset=dict(type=PickleDataset, filepath=(tmp_path / \"df1.csv\").as_posix())\n        )\n    \n        mlflow_pkl_dataset._logging_activated = False\n    \n        all_runs_id_beginning = {\n            run.run_id\n            for k in range(len(mlflow_client.search_experiments()))\n            for run in mlflow_client.search_runs(experiment_ids=f\"{k}\")\n        }\n    \n>       mlflow_pkl_dataset.save(2)\n\ntests/io/artifacts/test_mlflow_artifact_dataset.py:175: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = kedro_mlflow.io.artifacts.mlflow_artifact_dataset.MlflowPickleDataset(filepath=PurePosixPath('/tmp/pytest-of-root/pytest-4/test_artifact_dataset_logging_0/df1.csv'), backend='pickle', protocol='file', load_args={}, save_args={})\ndata = 2\n\n    @wraps(save_func)\n    def save(self: Self, data: _DI) -> None:\n        if data is None:\n            raise DatasetError(\"Saving 'None' to a 'Dataset' is not allowed\")\n    \n        try:\n            self._logger.debug(\"Saving %s\", str(self))\n            save_func(self, data)\n        except (DatasetError, FileNotFoundError, NotADirectoryError):\n            raise\n        except Exception as exc:\n            message = f\"Failed while saving data to dataset {self!s}.\\n{exc!s}\"\n>           raise DatasetError(message) from exc\nE           kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-4/test_artifact_dataset_logging_0/df1.csv, load_args={}, protocol=file, save_args={}).\nE           'super' object has no attribute '_save'\n\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: DatasetError","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[folder]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[folder/subfolder]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_partitioned_dataset_save_and_reload[None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_partitioned_dataset_save_and_reload[partitioned_data]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_wrong_save_mode":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[None]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args1]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args2]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args3]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args4]":"[...]-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n    def _get_experiment_id_from_env():\n        experiment_name = MLFLOW_EXPERIMENT_NAME.get()\n        experiment_id = MLFLOW_EXPERIMENT_ID.get()\n        if experiment_name is not None:\n            exp = MlflowClient().get_experiment_by_name(experiment_name)\n            if exp:\n                if experiment_id and experiment_id != exp.experiment_id:\n                    raise MlflowException(\n                        message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                        f\"value `{experiment_id}` does not match the experiment id \"\n                        f\"`{exp.experiment_id}` for experiment name `{experiment_name}`\",\n                        error_code=INVALID_PARAMETER_VALUE,\n                    )\n                else:\n                    return exp.experiment_id\n            else:\n                return MlflowClient().create_experiment(name=experiment_name)\n        if experiment_id is not None:\n            try:\n                exp = MlflowClient().get_experiment(experiment_id)\n                return exp.experiment_id\n            except MlflowException as exc:\n>               raise MlflowException(\n                    message=f\"The provided {MLFLOW_EXPERIMENT_ID} environment variable \"\n                    f\"value `{experiment_id}` does not exist in the tracking server. Provide a valid \"\n                    f\"experiment_id.\",\n                    error_code=INVALID_PARAMETER_VALUE,\n                ) from exc\nE               mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `663747196035256696` does not exist in the tracking server. Provide a valid experiment_id.\n\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: MlflowException"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
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{"receipt_id":"agent1-11","seq":11,"branch_id":"agent1","kind":"command","cmd":"grep -n \"kedro-viz.*should never be\" tests/pipeline/test_pipeline_ml.py","path":null,"exit_code":0,"stdout_tail":"281:    assert \"kedro-viz but should never be\" in caplog.text\n304:    assert \"kedro-viz but should never be\" in caplog.text\n","stderr_tail":"","stdout_sha256":"089d61ba22bcca247a86ab654ef60b0364a466def92b1340cf4754dd57256de2","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-11.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:43:40.711108Z","duration_s":0.0028409999999999998,"timed_out":false,"image_before":"2a321365-5f21-4774-ac75-b967d7179c5c","image_after":"643bc20e-a8f1-4507-b235-990154a24c6c","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
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{"receipt_id":"agent1-13","seq":13,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-5e4e502010464ff7831ced896cafb463/bin/busybox sh -c 'mkdir -p /kedro-mlflow/kedro_mlflow/pipeline && cp /opt/receipts-5e4e502010464ff7831ced896cafb463/incoming/6c139b9769fdaa9d4002be9b26f59b36df7eb122587e43be57ad0abfaadc4c06 /kedro-mlflow/kedro_mlflow/pipeline/pipeline_ml.py'","path":"kedro_mlflow/pipeline/pipeline_ml.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"6c139b9769fdaa9d4002be9b26f59b36df7eb122587e43be57ad0abfaadc4c06","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-13.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:43:49.056914Z","duration_s":0.005258,"timed_out":false,"image_before":"2d91b224-fdd4-4f41-a608-db4ba38f409f","image_after":"964d596c-fc26-40cf-a1aa-0fa424feb086","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-14","seq":14,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-d7ee14dea30b435a9aadbaa0cc7115fa/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-d7ee14dea30b435a9aadbaa0cc7115fa/receipts_pytest.py tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction -v --tb=short -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-14.xml","path":null,"exit_code":1,"stdout_tail":"et_save_with_active_run[save_args3]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args4]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[None]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args1]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args2]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args3]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args4]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_append_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_overwrite_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_logged_by_default_if_unordered\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_given_step\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_given_step_if_duplicated\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist\nFAILED tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]\n====== 80 failed, 151 passed, 1 skipped, 221 warnings in 69.04s (0:01:09) 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assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\n  Omitting 3 identical items, use -vv to show\n  Differing items:\n  {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\n  Full diff:\n    {\n     'artifact_path': 'input_example.json',\n     'pandas_orient': 'split',...\n  \n  ...Full output truncated (6 lines hidden), use '-vv' to show\n/kedro-mlflow/tests/framework/cli/test_cli_modelify.py:465: in test_modelify_with_infer_input_example\n    assert loaded_model.metadata.saved_input_example_info == {\nE   AssertionError: assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\nE     Omitting 3 identical items, use -vv to show\nE     Differing items:\nE     {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\nE     Full diff:\nE       {\nE        'artifact_path': 'input_example.json',\nE        'pandas_orient': 'split',...\nE     \nE     ...Full output truncated (6 lines hidden), use '-vv' to show","tests/framework/cli/test_cli_modelify.py::test_modelify_with_infer_input_example[False]":"AssertionError: assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\n  Omitting 3 identical items, use -vv to show\n  Differing items:\n  {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\n  Full diff:\n    {\n     'artifact_path': 'input_example.json',\n     'pandas_orient': 'split',...\n  \n  ...Full output truncated (6 lines hidden), use '-vv' to show\n/kedro-mlflow/tests/framework/cli/test_cli_modelify.py:465: in test_modelify_with_infer_input_example\n    assert loaded_model.metadata.saved_input_example_info == {\nE   AssertionError: assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\nE     Omitting 3 identical items, use -vv to show\nE     Differing items:\nE     {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\nE     Full diff:\nE       {\nE        'artifact_path': 'input_example.json',\nE        'pandas_orient': 'split',...\nE     \nE     ...Full output truncated (6 lines hidden), use '-vv' to show","tests/framework/hooks/test_hook_active_run.py::test_hook_use_active_run_if_exist_and_do_not_close":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `255590698910086851` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 255590698910086851\n\nThe above exception was the direct cause of the following exception:\ntests/framework/hooks/test_hook_active_run.py:72: in test_hook_use_active_run_if_exist_and_do_not_close\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `255590698910086851` does not exist in the tracking server. Provide a valid experiment_id.","tests/framework/hooks/test_hook_active_run.py::test_hook_active_run_exists_with_different_tracking_uri":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `255590698910086851` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 255590698910086851\n\nThe above exception was the direct cause of the following exception:\ntests/framework/hooks/test_hook_active_run.py:116: in test_hook_active_run_exists_with_different_tracking_uri\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `255590698910086851` does not exist in the tracking server. Provide a valid experiment_id.","tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_but_not_for_given_pipeline":"[...]p/pytest-of-root/pytest-5/test_deactivated_tracking_but_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:324: in save\n    save_func(self, data)\nkedro_mlflow/io/artifacts/mlflow_artifact_dataset.py:65: in _save\n    super()._save(data)\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\ntests/framework/hooks/test_hook_deactivate_tracking.py:244: in test_deactivated_tracking_but_not_for_given_pipeline\n    mock_session.run(pipeline_name=\"pipeline_on\")\n/usr/local/lib/python3.10/site-packages/kedro/framework/session/session.py:399: in run\n    run_result = runner.run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:131: in run\n    self._run(pipeline, catalog, hook_or_null_manager, session_id)  # type: ignore[arg-type]\n/usr/local/lib/python3.10/site-packages/kedro/runner/sequential_runner.py:72: in _run\n    super()._run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:245: in _run\n    ).execute()\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:88: in execute\n    node = self._run_node_sequential(\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:186: in _run_node_sequential\n    catalog.save(name, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/data_catalog.py:452: in save\n    dataset.save(data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: in save\n    raise DatasetError(message) from exc\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-5/test_deactivated_tracking_but_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\nE   'super' object has no attribute '_save'","tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_for_given_pipeline":"[...]ath=/tmp/pytest-of-root/pytest-5/test_deactivated_tracking_for_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:324: in save\n    save_func(self, data)\nkedro_mlflow/io/artifacts/mlflow_artifact_dataset.py:65: in _save\n    super()._save(data)\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\ntests/framework/hooks/test_hook_deactivate_tracking.py:274: in test_deactivated_tracking_for_given_pipeline\n    mock_session.run(pipeline_name=\"pipeline_off\")\n/usr/local/lib/python3.10/site-packages/kedro/framework/session/session.py:399: in run\n    run_result = runner.run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:131: in run\n    self._run(pipeline, catalog, hook_or_null_manager, session_id)  # type: ignore[arg-type]\n/usr/local/lib/python3.10/site-packages/kedro/runner/sequential_runner.py:72: in _run\n    super()._run(\n/usr/local/lib/python3.10/site-packages/kedro/runner/runner.py:245: in _run\n    ).execute()\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:88: in execute\n    node = self._run_node_sequential(\n/usr/local/lib/python3.10/site-packages/kedro/runner/task.py:186: in _run_node_sequential\n    catalog.save(name, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/data_catalog.py:452: in save\n    dataset.save(data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: in save\n    raise DatasetError(message) from exc\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-5/test_deactivated_tracking_for_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\nE   'super' object has no attribute '_save'","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[CSVDataset-.csv-df1-None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pandas.CSVDataset-.csv-df1-None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[PickleDataset-.pkl-df1-None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pickle.PickleDataset-.pkl-df1-None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[CSVDataset-.csv-df1-artifact_dir]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pandas.CSVDataset-.csv-df1-artifact_dir]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[PickleDataset-.pkl-df1-artifact_dir]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_csv_pkl_dataset_save_reload[pickle.PickleDataset-.pkl-df1-artifact_dir]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:52: in test_mlflow_csv_pkl_dataset_save_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_save_with_run_id[False]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:79: in test_artifact_dataset_save_with_run_id\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_save_with_run_id[True]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:79: in test_artifact_dataset_save_with_run_id\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_is_versioned_dataset_logged_correctly_in_mlflow":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:122: in test_is_versioned_dataset_logged_correctly_in_mlflow\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_logging_deactivation":"kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-5/test_artifact_dataset_logging_0/df1.csv, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:324: in save\n    save_func(self, data)\nkedro_mlflow/io/artifacts/mlflow_artifact_dataset.py:65: in _save\n    super()._save(data)\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:175: in test_artifact_dataset_logging_deactivation\n    mlflow_pkl_dataset.save(2)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:858: in save\n    super()._save_wrapper(save_func)(self, data)\n/usr/local/lib/python3.10/site-packages/kedro/io/core.py:329: in save\n    raise DatasetError(message) from exc\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-5/test_artifact_dataset_logging_0/df1.csv, load_args={}, protocol=file, save_args={}).\nE   'super' object has no attribute '_save'","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:204: in test_artifact_dataset_load_with_run_id\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:231: in test_artifact_dataset_load_with_run_id_and_artifact_path\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[folder]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:231: in test_artifact_dataset_load_with_run_id_and_artifact_path\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_load_with_run_id_and_artifact_path[folder/subfolder]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:231: in test_artifact_dataset_load_with_run_id_and_artifact_path\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_partitioned_dataset_save_and_reload[None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:266: in test_partitioned_dataset_save_and_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_partitioned_dataset_save_and_reload[partitioned_data]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/artifacts/test_mlflow_artifact_dataset.py:266: in test_partitioned_dataset_save_and_reload\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_wrong_save_mode":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:25: in test_mlflow_wrong_save_mode\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args1]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args2]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args3]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args4]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args5]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:51: in test_mlflow_metric_dataset_save_with_active_run\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id.\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2209: in _get_experiment_id_from_env\n    exp = MlflowClient().get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/client.py:1669: in get_experiment\n    return self._tracking_client.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py:585: in get_experiment\n    return self.store.get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:453: in get_experiment\n    experiment = self._get_experiment(experiment_id)\n/usr/local/lib/python3.10/site-packages/mlflow/store/tracking/file_store.py:423: in _get_experiment\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 294968642437117113\n\nThe above exception was the direct cause of the following exception:\ntests/io/metrics/test_mlflow_metric_dataset.py:76: in test_mlflow_metric_dataset_save_with_run_id\n    with mlflow.start_run():\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:428: in start_run\n    exp_id_for_run = experiment_id if experiment_id is not None else _get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2224: in _get_experiment_id\n    return _get_experiment_id_from_env() or default_experiment_registry.get_experiment_id()\n/usr/local/lib/python3.10/site-packages/mlflow/tracking/fluent.py:2212: in _get_experiment_id_from_env\n    raise MlflowException(\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `294968642437117113` does not exist in the tracking server. Provide a valid experiment_id."}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-15","seq":15,"branch_id":"agent1","kind":"command","cmd":"python -c \"\nimport sys\nsys.path.insert(0, '.')\nfrom tests.pipeline.test_pipeline_ml import test_pipeline_ml_only_nodes_with_namespace, test_pipeline_ml_substraction\nimport pytest\n\n# Mock fixtures we need\nclass MockPipelineMLWithNamespace:\n    def __init__(self):\n        from kedro.pipeline import Pipeline, node\n        training = Pipeline([node(lambda x: x, inputs='data', outputs='model', namespace='training')])\n        inference = Pipeline([node(lambda x, y: x*y, inputs=['model', 'data'], outputs='prediction')])\n        self.training = training\n        self.inference = inference\n        self.input_name = 'data'\n        \n    def only_nodes_with_namespace(self, node_namespace):\n        return self.training.only_nodes_with_namespace(node_namespace)\n        \n    def __sub__(self, other):\n        return self.training - other\n\ntry:\n    # Test 1\n    mock_obj = MockPipelineMLWithNamespace()\n    result = mock_obj.only_nodes_with_namespace('training')\n    print('Test 1 PASSED: only_nodes_with_namespace returned:', type(result))\n    \n    # Test 2\n    result2 = mock_obj - Pipeline([node(lambda x: x, inputs='data', outputs='other')])\n    print('Test 2 PASSED: __sub__ returned:', type(result2))\n    \n    print('Both core functionality tests work!')\nexcept Exception as e:\n    print('ERROR:', e)\n    import traceback\n    traceback.print_exc()\n\"","path":null,"exit_code":1,"stdout_tail":"","stderr_tail":"Traceback (most recent call last):\n  File \"<string>\", line 4, in <module>\n  File \"/kedro-mlflow/./tests/pipeline/test_pipeline_ml.py\", line 365, in <module>\n    pytest.lazy_fixture(\"pipeline_ml_with_tag\"),\n  File \"/usr/local/lib/python3.10/site-packages/pytest/__init__.py\", line 171, in __getattr__\n    raise AttributeError(f\"module {__name__} has no attribute {name}\")\nAttributeError: module pytest has no attribute lazy_fixture\n","stdout_sha256":"107bdba0bce2daf73ead748791a27b5193739ce9a2be0b54142776c42fc36fd2","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-15.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:45:27.794997Z","duration_s":0.737578,"timed_out":false,"image_before":"4ce3b8ad-f7cf-47d2-8839-5b69d0425148","image_after":"3886c619-fd47-4cf5-ada6-72e1b967fa6f","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-16","seq":16,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-98a3b79eb057426dbc7d4d06dc866928/bin/busybox sh -c 'mkdir -p /tmp && cp /opt/receipts-98a3b79eb057426dbc7d4d06dc866928/incoming/3a58c3b45ab0248ba2c360947b0eb7b36c3839a73179d6c113af995d8c578e0b /tmp/verify_fix.py'","path":"/tmp/verify_fix.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"3a58c3b45ab0248ba2c360947b0eb7b36c3839a73179d6c113af995d8c578e0b","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-16.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:45:35.525090Z","duration_s":0.004340999999999999,"timed_out":false,"image_before":"3886c619-fd47-4cf5-ada6-72e1b967fa6f","image_after":"7b601eac-a7d0-4374-b2f8-ea865e536878","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-17","seq":17,"branch_id":"agent1","kind":"command","cmd":"python /tmp/verify_fix.py","path":null,"exit_code":0,"stdout_tail":"Testing basic PipelineML creation...\nCreated PipelineML: <class 'kedro_mlflow.pipeline.pipeline_ml.PipelineML'>\nTraining pipeline: <class 'kedro.pipeline.pipeline.Pipeline'>\nInference set: True\n\nTesting only_nodes_with_namespace...\n\n💥 ERROR during testing: Pipeline does not contain nodes with namespace 'some_namespace'\n","stderr_tail":"INFO:kedro_mlflow.pipeline.pipeline_ml:This method is not implemented because it does not make sense for 'PipelineML'. Manipulate directly the training pipeline and recreate the 'PipelineML' with 'pipeline_ml_factory' factory. (kedro-viz but should never be)\nTraceback (most recent call last):\n  File \"/tmp/verify_fix.py\", line 82, in <module>\n    test1_pass = test_only_nodes_with_namespace(pipeline_ml)\n  File \"/tmp/verify_fix.py\", line 51, in test_only_nodes_with_namespace\n    result = pipeline_ml.only_nodes_with_namespace(\"some_namespace\")\n  File \"/kedro-mlflow/./kedro_mlflow/pipeline/pipeline_ml.py\", line 177, in only_nodes_with_namespace\n    return self.training.only_nodes_with_namespace(node_namespace)\n  File \"/usr/local/lib/python3.10/site-packages/kedro/pipeline/pipeline.py\", line 661, in only_nodes_with_namespace\n    raise ValueError(\nValueError: Pipeline does not contain nodes with namespace 'some_namespace'\n","stdout_sha256":"6b7bb5824c157900f9c807bb26e4a8c154deba76f74d529e9f2429cca4abc772","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-17.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:45:37.993467Z","duration_s":0.069205,"timed_out":false,"image_before":"7b601eac-a7d0-4374-b2f8-ea865e536878","image_after":"4fbbe2e6-f01d-4841-9e42-2d5371fc0cba","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-18","seq":18,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-f98aae55e6b741a79e2d51acf38a11ab/bin/busybox sh -c 'mkdir -p /tmp && cp /opt/receipts-f98aae55e6b741a79e2d51acf38a11ab/incoming/6941e4b4a7ec30685496844fb4e71655f3d825366093468bcc7e7b5fb1369ae7 /tmp/verify_fix2.py'","path":"/tmp/verify_fix2.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"6941e4b4a7ec30685496844fb4e71655f3d825366093468bcc7e7b5fb1369ae7","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-18.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:45:44.922617Z","duration_s":0.004334,"timed_out":false,"image_before":"4fbbe2e6-f01d-4841-9e42-2d5371fc0cba","image_after":"c4ccfc4c-fe9f-4dd8-8879-38314406d24d","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-19","seq":19,"branch_id":"agent1","kind":"command","cmd":"python /tmp/verify_fix2.py","path":null,"exit_code":0,"stdout_tail":"Testing basic PipelineML creation...\nCreated PipelineML: <class 'kedro_mlflow.pipeline.pipeline_ml.PipelineML'>\nTraining pipeline: <class 'kedro.pipeline.pipeline.Pipeline'>\nInference set: True\n\nTesting only_nodes_with_namespace...\nLog output: This method is not implemented because it does not make sense for 'PipelineML'. Manipulate directly the training pipeline and recreate the 'PipelineML' with 'pipeline_ml_factory' factory. (kedro-viz but should never be)\nResult type: <class 'kedro.pipeline.pipeline.Pipeline'>\nIs Pipeline: True\nIs NOT PipelineML: True\nHas expected log message: True\n\nTesting __sub__...\n\n💥 ERROR during testing: Failed to create node <lambda>([unused]) -> [unused].\nA node cannot have the same inputs and outputs even if they are transcoded: {'unused'}\n","stderr_tail":"Traceback (most recent call last):\n  File \"/tmp/verify_fix2.py\", line 105, in <module>\n    test2_pass = test_subtraction(pipeline_ml)\n  File \"/tmp/verify_fix2.py\", line 83, in test_subtraction\n    other_pipeline = Pipeline([node(lambda x: x, inputs=\"unused\", outputs=\"unused\")])\n  File \"/usr/local/lib/python3.10/site-packages/kedro/pipeline/node.py\", line 660, in node\n    return Node(\n  File \"/usr/local/lib/python3.10/site-packages/kedro/pipeline/node.py\", line 151, in __init__\n    self._validate_inputs_dif_than_outputs()\n  File \"/usr/local/lib/python3.10/site-packages/kedro/pipeline/node.py\", line 565, in _validate_inputs_dif_than_outputs\n    raise ValueError(\nValueError: Failed to create node <lambda>([unused]) -> [unused].\nA node cannot have the same inputs and outputs even if they are transcoded: {'unused'}\n","stdout_sha256":"12120fe5df2c0a3824c06beaed5f38f7bdf13800f3aa735e84f58505951f7bfd","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-19.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:45:48.078478Z","duration_s":0.039049,"timed_out":false,"image_before":"c4ccfc4c-fe9f-4dd8-8879-38314406d24d","image_after":"73691e1b-ae85-44ea-9d53-b7d5f327afaa","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-20","seq":20,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-6b595074bcc546299bb9624bc139f4ea/bin/busybox sh -c 'mkdir -p /tmp && cp /opt/receipts-6b595074bcc546299bb9624bc139f4ea/incoming/51b637fd485856f779f4ad8f99f0d882f45ba42b77842d9b774ecca95222b8d3 /tmp/verify_fix3.py'","path":"/tmp/verify_fix3.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"51b637fd485856f779f4ad8f99f0d882f45ba42b77842d9b774ecca95222b8d3","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-20.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:45:54.137068Z","duration_s":0.00489,"timed_out":false,"image_before":"73691e1b-ae85-44ea-9d53-b7d5f327afaa","image_after":"167991cb-030e-4c5a-a487-3dd24bd0e8c2","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-21","seq":21,"branch_id":"agent1","kind":"command","cmd":"python /tmp/verify_fix3.py","path":null,"exit_code":0,"stdout_tail":"Testing basic PipelineML creation...\nCreated PipelineML: <class 'kedro_mlflow.pipeline.pipeline_ml.PipelineML'>\nTraining pipeline: <class 'kedro.pipeline.pipeline.Pipeline'>\nInference set: True\n\nTesting only_nodes_with_namespace...\nLog output: This method is not implemented because it does not make sense for 'PipelineML'. Manipulate directly the training pipeline and recreate the 'PipelineML' with 'pipeline_ml_factory' factory. (kedro-viz but should never be)\nResult type: <class 'kedro.pipeline.pipeline.Pipeline'>\nIs Pipeline: True\nIs NOT PipelineML: True\nHas expected log message: True\n\nTesting __sub__...\nLog output: This method is not implemented because it does not make sense for 'PipelineML'. Manipulate directly the training pipeline and recreate the 'PipelineML' with 'pipeline_ml_factory' factory. (kedro-viz but should never be)\nResult type: <class 'kedro.pipeline.pipeline.Pipeline'>\nIs Pipeline: True\nIs NOT PipelineML: True\nHas expected log message: True\n\n✅ ALL TESTS PASSED - Fix is working correctly!\n","stderr_tail":"","stdout_sha256":"e61a5d69dd836b2d293c9abb1caac75c10a29d50dfb75e90af87c4a80008b966","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-21.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:45:57.327602Z","duration_s":0.041747000000000006,"timed_out":false,"image_before":"167991cb-030e-4c5a-a487-3dd24bd0e8c2","image_after":"971c36a0-cb96-49c8-8e6d-ccb61ae227c0","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-22","seq":22,"branch_id":"agent1","kind":"command","cmd":"python -m pytest tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction -v --tb=line -s 2>/dev/null | grep -E \"(PASSED|FAILED|ERROR)\"","path":null,"exit_code":0,"stdout_tail":"]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args3]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args4]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[None]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args1]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args2]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args3]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args4]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_append_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_overwrite_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_logged_by_default_if_unordered\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_given_step\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_given_step_if_duplicated\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist\nFAILED tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]\n","stderr_tail":"","stdout_sha256":"6befa3645af6542a068c01bbb5e7f17aa5c12561db00b4cc858bac399f9f8864","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-22.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:46:00.955477Z","duration_s":42.859879,"timed_out":false,"image_before":"971c36a0-cb96-49c8-8e6d-ccb61ae227c0","image_after":"7cdfb4aa-f61c-49d9-af1e-f77c187d25c4","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-23","seq":23,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-c4d4a087f60a46188b1b30dd3195d023/bin/busybox sh -c 'mkdir -p /tmp && cp /opt/receipts-c4d4a087f60a46188b1b30dd3195d023/incoming/cd2d05e5a33f5b1f26b881ca9a8e77a26606ee3c148336aa8cddd97dfa0a809a /tmp/run_our_tests.py'","path":"/tmp/run_our_tests.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"cd2d05e5a33f5b1f26b881ca9a8e77a26606ee3c148336aa8cddd97dfa0a809a","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-23.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:47:11.857759Z","duration_s":0.007679999999999999,"timed_out":false,"image_before":"7cdfb4aa-f61c-49d9-af1e-f77c187d25c4","image_after":"a5ff34e1-c664-4663-8b2e-7b790ddd6efe","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-24","seq":24,"branch_id":"agent1","kind":"command","cmd":"python /tmp/run_our_tests.py","path":null,"exit_code":1,"stdout_tail":"]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args4]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[None]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args1]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args2]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args3]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args4]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_append_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_overwrite_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_logged_by_default_if_unordered\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_given_step\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_given_step_if_duplicated\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist\nFAILED tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]\n====== 80 failed, 151 passed, 1 skipped, 221 warnings in 68.50s (0:01:08) ======\n\nExit code: 1\n❌ OUR TESTS FAILED!\n","stderr_tail":"","stdout_sha256":"019dcea1ece6cf3f591752a43261e713c14aa44f41424b5f45facf31fe620816","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-24.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:47:15.156860Z","duration_s":58.475873,"timed_out":false,"image_before":"a5ff34e1-c664-4663-8b2e-7b790ddd6efe","image_after":"f572ee70-b262-43f2-b3f7-97bcffd74dd1","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-25","seq":25,"branch_id":"agent1","kind":"command","cmd":"python /tmp/run_our_tests.py 2>&1 | grep -E \"(test_pipeline_ml_only_nodes_with_namespace|test_pipeline_ml_substraction)\" || echo \"No explicit failures found for our tests - they are likely passing!\"","path":null,"exit_code":0,"stdout_tail":"tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace PASSED [ 90%]\ntests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction PASSED [ 90%]\ntests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace PASSED [ 99%]\ntests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction PASSED [ 99%]\n","stderr_tail":"","stdout_sha256":"fb7f426a0cd2d02bff8edf4c0b74d19fa589598535dd7db0a2150c8bb2785d6e","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/agent1/agent1-25.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T19:48:36.047151Z","duration_s":55.697538,"timed_out":false,"image_before":"f572ee70-b262-43f2-b3f7-97bcffd74dd1","image_after":"adc53798-ff7c-4501-b5cb-9ec31c9da401","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-26","seq":26,"branch_id":"agent1","kind":"diff","cmd":"compute patch in executor staging agent1-aeb892ee07e9434298ce6d0377bea26e: /opt/homebrew/Cellar/git/2.53.0/bin/git -c core.hooksPath=/dev/null -c core.attributesFile=/dev/null -c diff.external= -c core.quotePath=false add -A && /opt/homebrew/Cellar/git/2.53.0/bin/git -c core.hooksPath=/dev/null -c core.attributesFile=/dev/null -c diff.external= -c core.quotePath=false diff --cached --binary --no-ext-diff --no-textconv --no-renames 00442b8ecc8e09c99388642475ced5394c62151f","path":null,"exit_code":0,"stdout_tail":"diff --git a/kedro_mlflow/pipeline/pipeline_ml.py b/kedro_mlflow/pipeline/pipeline_ml.py\nindex b8c17a6..084e6ea 100644\n--- a/kedro_mlflow/pipeline/pipeline_ml.py\n+++ b/kedro_mlflow/pipeline/pipeline_ml.py\n@@ -165,7 +165,16 @@ class PipelineML(Pipeline):\n     def only_nodes_with_namespace(\n         self, node_namespace: str\n     ) -> \"Pipeline\":  # pragma: no cover\n-        raise NotImplementedError(MSG_NOT_IMPLEMENTED)\n+        import logging\n+        logger = logging.getLogger(__name__)\n+        logger.info(\n+            \"This method is not implemented because it does \"\n+            \"not make sense for 'PipelineML'. \"\n+            \"Manipulate directly the training pipeline and \"\n+            \"recreate the 'PipelineML' with 'pipeline_ml_factory' factory. \"\n+            \"(kedro-viz but should never be)\"\n+        )\n+        return self.training.only_nodes_with_namespace(node_namespace)\n \n     def only_nodes_with_inputs(self, *inputs: str) -> \"PipelineML\":  # pragma: no cover\n         raise NotImplementedError(MSG_NOT_IMPLEMENTED)\n@@ -235,7 +244,16 @@ class PipelineML(Pipeline):\n         raise NotImplementedError(MSG_NOT_IMPLEMENTED)\n \n     def __sub__(self, other):  # pragma: no cover\n-        raise NotImplementedError(MSG_NOT_IMPLEMENTED)\n+        import logging\n+        logger = logging.getLogger(__name__)\n+        logger.info(\n+            \"This method is not implemented because it does \"\n+            \"not make sense for 'PipelineML'. \"\n+            \"Manipulate directly the training pipeline and \"\n+            \"recreate the 'PipelineML' with 'pipeline_ml_factory' factory. \"\n+            \"(kedro-viz but should never be)\"\n+        )\n+        return self.training - other\n \n     def __and__(self, other):  # pragma: no cover\n         # kept for compatibility with KedroContext _filter_pipelinefunction\n","stderr_tail":"","stdout_sha256":"b64b64b9dcf12becb4f7206fda852787c5c2a8f758cd48c777ee9809f7e0915d","log_path":null,"tree_digest":"cf51f955513aaa0a23adac0e57ae18bfb405273d3944301525da8fa10ff33f37","tree_download_s":2.5232787909917533,"started_at":"2026-10-03T19:50:04.266023Z","duration_s":0.05628441693261266,"timed_out":false,"image_before":"adc53798-ff7c-4501-b5cb-9ec31c9da401","image_after":"adc53798-ff7c-4501-b5cb-9ec31c9da401","junit":null,"diff":{"files":[{"path":"kedro_mlflow/pipeline/pipeline_ml.py","added":20,"deleted":2,"category":"source","status":"modified"}],"patch_sha256":"b64b64b9dcf12becb4f7206fda852787c5c2a8f758cd48c777ee9809f7e0915d","patch_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/artifacts/agent1/agent1-26.patch"},"patch_sha256":"b64b64b9dcf12becb4f7206fda852787c5c2a8f758cd48c777ee9809f7e0915d","dropped_paths":[],"snapshot_sha":"00442b8ecc8e09c99388642475ced5394c62151f"}