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        "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",
        "tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction"
      ],
      "failure_text": {
        "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  Use -v to get more diff\nE   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      Use -v to get more diff",
        "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  Use -v to get more diff\nE   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      Use -v to get more diff",
        "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 `627015122475364663` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 627015122475364663\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `627015122475364663` does not exist in the tracking server. Provide a valid experiment_id.",
        "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 `627015122475364663` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 627015122475364663\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `627015122475364663` 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": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-0/test_deactivated_tracking_but_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-0/test_deactivated_tracking_but_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n    'super' object has no attribute '_save'",
        "tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_for_given_pipeline": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-0/test_deactivated_tracking_for_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-0/test_deactivated_tracking_for_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n    '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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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-0/test_artifact_dataset_logging_0/df1.csv, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-0/test_artifact_dataset_logging_0/df1.csv, load_args={}, protocol=file, save_args={}).\n    'super' object has no attribute '_save'",
        "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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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-None]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_given_step": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_given_step_if_duplicated": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_logged_by_default_if_unordered": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_logging_deactivation": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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_append_mode": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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_overwrite_mode": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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[save_args1]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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[save_args2]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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[save_args3]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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[save_args4]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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[save_args5]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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 `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-list]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-dict]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-list]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowMetricsHistoryDataset(prefix=test_metric).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowMetricsHistoryDataset(prefix=test_metric).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowMetricsHistoryDataset(prefix=test_metric).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowMetricsHistoryDataset(prefix=test_metric).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: No Experiment with id=226954480164361473 exists\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=test_model, flavor=mlflow.pyfunc, load_args={}, pyfunc_workflow=python_model, save_args={'artifacts': {'model': file:///tmp/pytest-of-root/pytest-0/test_pyfunc_flavor_python_mode3/data/06_models/model.pkl}, 'conda_env': {'dependencies': ['kedro==0.18.11'], 'python': 3.10.0}, 'python_model': <kedro_mlflow.mlflow.kedro_pipeline_model.KedroPipelineModel object at 0x7fffc73fcaf0>}).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=test_model, flavor=mlflow.pyfunc, load_args={}, pyfunc_workflow=python_model, save_args={'artifacts': {'model': file:///tmp/pytest-of-root/pytest-0/test_pyfunc_flavor_python_mode3/data/06_models/model.pkl}, 'conda_env': {'dependencies': ['kedro==0.18.11'], 'python': 3.10.0}, 'python_model': <kedro_mlflow.mlflow.kedro_pipeline_model.KedroPipelineModel object at 0x7fffc73fcaf0>}).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=test_model, flavor=mlflow.pyfunc, load_args={}, pyfunc_workflow=python_model, save_args={'artifacts': {'model': file:///tmp/pytest-of-root/pytest-0/test_pyfunc_flavor_python_mode2/data/06_models/model.pkl}, 'conda_env': {'dependencies': ['kedro==0.18.11'], 'python': 3.10.0}, 'python_model': <kedro_mlflow.mlflow.kedro_pipeline_model.KedroPipelineModel object at 0x7fffc73ffd60>}).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=test_model, flavor=mlflow.pyfunc, load_args={}, pyfunc_workflow=python_model, save_args={'artifacts': {'model': file:///tmp/pytest-of-root/pytest-0/test_pyfunc_flavor_python_mode2/data/06_models/model.pkl}, 'conda_env': {'dependencies': ['kedro==0.18.11'], 'python': 3.10.0}, 'python_model': <kedro_mlflow.mlflow.kedro_pipeline_model.KedroPipelineModel object at 0x7fffc73ffd60>}).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=my_linreg, flavor=mlflow.sklearn, load_args={}, save_args={}).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=my_linreg, flavor=mlflow.sklearn, load_args={}, save_args={}).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "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]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 226954480164361473\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `226954480164361473` 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": "NotImplementedError: 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.\nE   NotImplementedError: 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.",
        "tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction": "NotImplementedError: 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.\nE   NotImplementedError: 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."
      },
      "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_modelify_with_default_conda_env",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_fail_with_multiple_requirements[dependencies_args0]",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_fail_with_multiple_requirements[dependencies_args1]",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_fail_with_multiple_requirements[dependencies_args2]",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_fail_with_multiple_requirements[dependencies_args3]",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_with_run_name[None-modelify]",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_with_run_name[abcd-abcd]",
        "tests/framework/cli/test_cli_utils.py::test_render_jinja_template",
        "tests/framework/cli/test_cli_utils.py::test_render_jinja_template_with_cookiecutter_tags",
        "tests/framework/cli/test_cli_utils.py::test_write_jinja_template",
        "tests/framework/cli/test_cli_utils.py::test_write_jinja_template_with_cookiecutter_tags",
        "tests/framework/hooks/test_hook_log_metrics.py::test_mlflow_hook_automatically_prefix_metrics_dataset",
        "tests/framework/hooks/test_hook_log_metrics.py::test_mlflow_hook_metrics_dataset_with_run_id",
        "tests/framework/hooks/test_hook_log_parameters.py::test_pipeline_run_hook_getting_configs",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging[True-expected0]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging[False-expected1]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[fail-5990]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[fail-6000]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[truncate-5990]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[truncate-6000]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[tag-5990]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[tag-6000]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_above_limit_truncate_strategy[6020]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_above_limit_fail_strategy[6020]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_above_limit_tag_strategy[6020]",
        "tests/framework/hooks/test_hook_on_pipeline_error.py::test_on_pipeline_error",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml[dummy_pipeline]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml[dummy_pipeline_ml]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_copy_mode[None-expected0]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_copy_mode[assign-expected1]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_copy_mode[deepcopy-expected2]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_copy_mode[copy_mode3-expected3]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_default_copy_mode_assign",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_parameters",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_signature[None-None]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_signature[auto-dummy_signature]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_signature[dummy_signature-dummy_signature]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_artifact_path[None-model]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_artifact_path[my_custom_model-my_custom_model]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_dataset_factory",
        "tests/framework/hooks/test_run_name.py::test_pipeline_use_pipeline_name_as_run_name[my_cool_pipeline-my_cool_pipeline]",
        "tests/framework/hooks/test_run_name.py::test_pipeline_use_pipeline_name_as_run_name[__default__-__default__]",
        "tests/framework/hooks/test_run_name.py::test_pipeline_use_pipeline_name_as_run_name[None-__default__]",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_non_nested",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_nested_1_level",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_nested_2_levels",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_nested_3_levels",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_with_float_keys",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_with_used_defined_sep",
        "tests/framework/hooks/test_utils_generate_kedro_command.py::test_generate_kedro_commands",
        "tests/framework/hooks/test_utils_generate_kedro_command.py::test_generate_default_kedro_commands[None]",
        "tests/framework/hooks/test_utils_generate_kedro_command.py::test_generate_default_kedro_commands[default_value1]",
        "tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_artifact_logging_deactivation_is_bool",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_without_active_run_or_run_id",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_logging_deactivation_is_bool",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_fails_with_invalid_metric",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_logging_deactivation",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_logging_deactivation_is_bool",
        "tests/io/models/test_mlflow_model_local_filesystem_dataset.py::test_save_unversioned_under_same_path",
        "tests/io/models/test_mlflow_model_local_filesystem_dataset.py::test_save_load_local[False]",
        "tests/io/models/test_mlflow_model_local_filesystem_dataset.py::test_save_load_local[True]",
        "tests/io/models/test_mlflow_model_local_filesystem_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]",
        "tests/io/models/test_mlflow_model_local_filesystem_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]",
        "tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_save_not_implemented",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_flavor_does_not_exists",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_load_without_run_id_nor_active_run",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_wrong_pyfunc_workflow",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_mlflow_model_tracking_logging_deactivation",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_mlflow_model_tracking_logging_deactivation_is_bool",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_with_wrong_copy_mode_type",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction[pipeline_inference_dummy-dummy_catalog-raw_data-result0]",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction_missing_inference_input",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction_unpersisted_inference_input",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_too_many_outputs",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[tags1-None-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-from_nodes2-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-from_nodes3-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-to_nodes4-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-node_names5-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-None-from_inputs6]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[tags0-None-None-None-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[tags0-None-None-None-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-to_nodes1-None-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-to_nodes1-None-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-None-node_names2-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-None-node_names2-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_too_many_free_inputs",
        "tests/pipeline/test_pipeline_ml.py::test_tagging",
        "tests/pipeline/test_pipeline_ml.py::test_invalid_input_name",
        "tests/pipeline/test_pipeline_ml.py::test_too_many_inference_outputs",
        "tests/pipeline/test_pipeline_ml.py::test_not_enough_inference_outputs",
        "tests/template/project/test_mlflow_yml.py::test_mlflow_yml_rendering",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[tags1-None-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-from_nodes2-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-from_nodes3-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-to_nodes4-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-node_names5-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-None-from_inputs6]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[tags0-None-None-None-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[tags0-None-None-None-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-to_nodes1-None-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-to_nodes1-None-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-None-node_names2-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-None-node_names2-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_too_many_free_inputs",
        "tests/pipeline/test_pipeline_ml.py::test_tagging",
        "tests/pipeline/test_pipeline_ml.py::test_invalid_input_name",
        "tests/pipeline/test_pipeline_ml.py::test_too_many_inference_outputs",
        "tests/pipeline/test_pipeline_ml.py::test_not_enough_inference_outputs"
      ],
      "skipped": [
        "tests/config/test_resolvers.py::test_resolve_random_name_is_idempotent"
      ]
    },
    {
      "collection_errors": [],
      "errors": [],
      "failed": [
        "tests/framework/cli/test_cli_modelify.py::test_modelify_with_infer_input_example[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",
        "tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction"
      ],
      "failure_text": {
        "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  Use -v to get more diff\nE   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      Use -v to get more diff",
        "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  Use -v to get more diff\nE   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      Use -v to get more diff",
        "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 `829740221877882377` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 829740221877882377\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `829740221877882377` does not exist in the tracking server. Provide a valid experiment_id.",
        "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 `829740221877882377` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 829740221877882377\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `829740221877882377` 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": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-1/test_deactivated_tracking_but_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-1/test_deactivated_tracking_but_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n    'super' object has no attribute '_save'",
        "tests/framework/hooks/test_hook_deactivate_tracking.py::test_deactivated_tracking_for_given_pipeline": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-1/test_deactivated_tracking_for_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-1/test_deactivated_tracking_for_0/mock_package_name/fake_data.pkl, load_args={}, protocol=file, save_args={}).\n    '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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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-1/test_artifact_dataset_logging_0/df1.csv, load_args={}, protocol=file, save_args={}).\n'super' object has no attribute '_save'\nE   AttributeError: 'super' object has no attribute '_save'\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowPickleDataset(backend=pickle, filepath=/tmp/pytest-of-root/pytest-1/test_artifact_dataset_logging_0/df1.csv, load_args={}, protocol=file, save_args={}).\n    'super' object has no attribute '_save'",
        "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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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-None]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_given_step": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_given_step_if_duplicated": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_logged_by_default_if_unordered": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_logging_deactivation": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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_append_mode": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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_overwrite_mode": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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[save_args1]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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[save_args2]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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[save_args3]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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[save_args4]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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[save_args5]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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 `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-list]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-dict]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-list]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowMetricsHistoryDataset(prefix=test_metric).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowMetricsHistoryDataset(prefix=test_metric).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowMetricsHistoryDataset(prefix=test_metric).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowMetricsHistoryDataset(prefix=test_metric).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: No Experiment with id=876034717817533601 exists\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=test_model, flavor=mlflow.pyfunc, load_args={}, pyfunc_workflow=python_model, save_args={'artifacts': {'model': file:///tmp/pytest-of-root/pytest-1/test_pyfunc_flavor_python_mode3/data/06_models/model.pkl}, 'conda_env': {'dependencies': ['kedro==0.18.11'], 'python': 3.10.0}, 'python_model': <kedro_mlflow.mlflow.kedro_pipeline_model.KedroPipelineModel object at 0x7fffc752b370>}).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=test_model, flavor=mlflow.pyfunc, load_args={}, pyfunc_workflow=python_model, save_args={'artifacts': {'model': file:///tmp/pytest-of-root/pytest-1/test_pyfunc_flavor_python_mode3/data/06_models/model.pkl}, 'conda_env': {'dependencies': ['kedro==0.18.11'], 'python': 3.10.0}, 'python_model': <kedro_mlflow.mlflow.kedro_pipeline_model.KedroPipelineModel object at 0x7fffc752b370>}).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=test_model, flavor=mlflow.pyfunc, load_args={}, pyfunc_workflow=python_model, save_args={'artifacts': {'model': file:///tmp/pytest-of-root/pytest-1/test_pyfunc_flavor_python_mode2/data/06_models/model.pkl}, 'conda_env': {'dependencies': ['kedro==0.18.11'], 'python': 3.10.0}, 'python_model': <kedro_mlflow.mlflow.kedro_pipeline_model.KedroPipelineModel object at 0x7fffb4375ae0>}).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=test_model, flavor=mlflow.pyfunc, load_args={}, pyfunc_workflow=python_model, save_args={'artifacts': {'model': file:///tmp/pytest-of-root/pytest-1/test_pyfunc_flavor_python_mode2/data/06_models/model.pkl}, 'conda_env': {'dependencies': ['kedro==0.18.11'], 'python': 3.10.0}, 'python_model': <kedro_mlflow.mlflow.kedro_pipeline_model.KedroPipelineModel object at 0x7fffb4375ae0>}).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]": "kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=my_linreg, flavor=mlflow.sklearn, load_args={}, save_args={}).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\n\nThe above exception was the direct cause of the following exception:\nE   kedro.io.core.DatasetError: Failed while saving data to dataset MlflowModelTrackingDataset(artifact_path=my_linreg, flavor=mlflow.sklearn, load_args={}, save_args={}).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "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]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.",
        "tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]": "mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 876034717817533601\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `876034717817533601` 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": "NotImplementedError: 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.\nE   NotImplementedError: 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.",
        "tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction": "NotImplementedError: 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.\nE   NotImplementedError: 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."
      },
      "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_modelify_with_default_conda_env",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_fail_with_multiple_requirements[dependencies_args0]",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_fail_with_multiple_requirements[dependencies_args1]",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_fail_with_multiple_requirements[dependencies_args2]",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_fail_with_multiple_requirements[dependencies_args3]",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_with_run_name[None-modelify]",
        "tests/framework/cli/test_cli_modelify.py::test_modelify_with_run_name[abcd-abcd]",
        "tests/framework/cli/test_cli_utils.py::test_render_jinja_template",
        "tests/framework/cli/test_cli_utils.py::test_render_jinja_template_with_cookiecutter_tags",
        "tests/framework/cli/test_cli_utils.py::test_write_jinja_template",
        "tests/framework/cli/test_cli_utils.py::test_write_jinja_template_with_cookiecutter_tags",
        "tests/framework/hooks/test_hook_log_metrics.py::test_mlflow_hook_automatically_prefix_metrics_dataset",
        "tests/framework/hooks/test_hook_log_metrics.py::test_mlflow_hook_metrics_dataset_with_run_id",
        "tests/framework/hooks/test_hook_log_parameters.py::test_pipeline_run_hook_getting_configs",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging[True-expected0]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging[False-expected1]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[fail-5990]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[fail-6000]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[truncate-5990]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[truncate-6000]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[tag-5990]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_below_limit_all_strategy[tag-6000]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_above_limit_truncate_strategy[6020]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_above_limit_fail_strategy[6020]",
        "tests/framework/hooks/test_hook_log_parameters.py::test_node_hook_logging_above_limit_tag_strategy[6020]",
        "tests/framework/hooks/test_hook_on_pipeline_error.py::test_on_pipeline_error",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml[dummy_pipeline]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml[dummy_pipeline_ml]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_copy_mode[None-expected0]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_copy_mode[assign-expected1]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_copy_mode[deepcopy-expected2]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_copy_mode[copy_mode3-expected3]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_default_copy_mode_assign",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_parameters",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_signature[None-None]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_signature[auto-dummy_signature]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_signature[dummy_signature-dummy_signature]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_artifact_path[None-model]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_artifact_path[my_custom_model-my_custom_model]",
        "tests/framework/hooks/test_hook_pipeline_ml.py::test_mlflow_hook_save_pipeline_ml_with_dataset_factory",
        "tests/framework/hooks/test_run_name.py::test_pipeline_use_pipeline_name_as_run_name[my_cool_pipeline-my_cool_pipeline]",
        "tests/framework/hooks/test_run_name.py::test_pipeline_use_pipeline_name_as_run_name[__default__-__default__]",
        "tests/framework/hooks/test_run_name.py::test_pipeline_use_pipeline_name_as_run_name[None-__default__]",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_non_nested",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_nested_1_level",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_nested_2_levels",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_nested_3_levels",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_with_float_keys",
        "tests/framework/hooks/test_utils_flatten_dict.py::test_flatten_dict_with_used_defined_sep",
        "tests/framework/hooks/test_utils_generate_kedro_command.py::test_generate_kedro_commands",
        "tests/framework/hooks/test_utils_generate_kedro_command.py::test_generate_default_kedro_commands[None]",
        "tests/framework/hooks/test_utils_generate_kedro_command.py::test_generate_default_kedro_commands[default_value1]",
        "tests/io/artifacts/test_mlflow_artifact_dataset.py::test_mlflow_artifact_logging_deactivation_is_bool",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_without_active_run_or_run_id",
        "tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_logging_deactivation_is_bool",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_fails_with_invalid_metric",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_logging_deactivation",
        "tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_logging_deactivation_is_bool",
        "tests/io/models/test_mlflow_model_local_filesystem_dataset.py::test_save_unversioned_under_same_path",
        "tests/io/models/test_mlflow_model_local_filesystem_dataset.py::test_save_load_local[False]",
        "tests/io/models/test_mlflow_model_local_filesystem_dataset.py::test_save_load_local[True]",
        "tests/io/models/test_mlflow_model_local_filesystem_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]",
        "tests/io/models/test_mlflow_model_local_filesystem_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]",
        "tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_save_not_implemented",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_flavor_does_not_exists",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_load_without_run_id_nor_active_run",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_wrong_pyfunc_workflow",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_mlflow_model_tracking_logging_deactivation",
        "tests/io/models/test_mlflow_model_tracking_dataset.py::test_mlflow_model_tracking_logging_deactivation_is_bool",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_with_wrong_copy_mode_type",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction[pipeline_inference_dummy-dummy_catalog-raw_data-result0]",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction_missing_inference_input",
        "tests/mlflow/test_kedro_pipeline_model.py::test_catalog_extraction_unpersisted_inference_input",
        "tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_too_many_outputs",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[tags1-None-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-from_nodes2-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-from_nodes3-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-to_nodes4-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-node_names5-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-None-from_inputs6]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[tags0-None-None-None-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[tags0-None-None-None-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-to_nodes1-None-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-to_nodes1-None-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-None-node_names2-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-None-node_names2-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_too_many_free_inputs",
        "tests/pipeline/test_pipeline_ml.py::test_tagging",
        "tests/pipeline/test_pipeline_ml.py::test_invalid_input_name",
        "tests/pipeline/test_pipeline_ml.py::test_too_many_inference_outputs",
        "tests/pipeline/test_pipeline_ml.py::test_not_enough_inference_outputs",
        "tests/template/project/test_mlflow_yml.py::test_mlflow_yml_rendering",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[tags1-None-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-from_nodes2-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-from_nodes3-None-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-to_nodes4-None-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-node_names5-None]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_pipeline_ml[None-None-None-None-from_inputs6]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[tags0-None-None-None-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[tags0-None-None-None-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-to_nodes1-None-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-to_nodes1-None-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-None-node_names2-None-pipeline_ml_with_tag]",
        "tests/pipeline/test_pipeline_ml.py::test_filtering_generate_invalid_pipeline_ml[None-None-None-node_names2-None-pipeline_ml_with_intermediary_artifacts]",
        "tests/pipeline/test_pipeline_ml.py::test_too_many_free_inputs",
        "tests/pipeline/test_pipeline_ml.py::test_tagging",
        "tests/pipeline/test_pipeline_ml.py::test_invalid_input_name",
        "tests/pipeline/test_pipeline_ml.py::test_too_many_inference_outputs",
        "tests/pipeline/test_pipeline_ml.py::test_not_enough_inference_outputs"
      ],
      "skipped": [
        "tests/config/test_resolvers.py::test_resolve_random_name_is_idempotent"
      ]
    }
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  "scope": {
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      ".readthedocs.yml",
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      "README.md",
      "codecov.yml",
      "docs",
      "kedro_mlflow",
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  },
  "skipped_ids": [
    "tests/config/test_resolvers.py::test_resolve_random_name_is_idempotent"
  ],
  "spec_paths": [
    "tests/pipeline/test_pipeline_ml.py"
  ],
  "target": [
    "tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace",
    "tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction"
  ],
  "target_failure_text": {
    "tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace": "NotImplementedError: 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.\nE   NotImplementedError: 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.",
    "tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_substraction": "NotImplementedError: 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.\nE   NotImplementedError: 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."
  },
  "target_map": {
    "tests/pipeline/test_pipeline_ml.py::test_pipeline_ml_only_nodes_with_namespace": [
      "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_substraction"
    ]
  },
  "unstable": []
}