{"receipt_id":"w1-1","seq":1,"branch_id":"w1","kind":"apply","cmd":"git update-index -q --refresh; git apply -v --3way --recount --ignore-space-change --whitespace=nowarn /opt/receipts-8d42130f472f48ef8d41a44fd9cdd433/incoming/b64b64b9dcf12becb4f7206fda852787c5c2a8f758cd48c777ee9809f7e0915d.diff","path":null,"exit_code":0,"stdout_tail":"","stderr_tail":"Checking patch kedro_mlflow/pipeline/pipeline_ml.py...\nApplied patch to 'kedro_mlflow/pipeline/pipeline_ml.py' cleanly.\nApplied patch kedro_mlflow/pipeline/pipeline_ml.py cleanly.\n","stdout_sha256":"84ecda231c5a83111a928896a5847562974cd070ee9c6f17b54bfd07eaaa1c33","log_path":"~/dev/nebius-hackathon/pilot/v2-P/galileo-galilei__kedro-mlflow-585/runs/pilot-galileo-galilei__kedro-mlflow-585-47880c35de/logs/w1/w1-1.log","tree_digest":"2c8e540440355135505526771a28968a0882032099b8eeace13f83c517cf94a1","tree_download_s":2.7653830419294536,"started_at":"2026-10-03T19:50:04.993312Z","duration_s":0.008602,"timed_out":false,"image_before":"188da50d-5ebf-47d1-90e7-2d7ca274275b","image_after":"69904b18-a048-4868-9014-7e2389a24373","junit":null,"diff":null,"patch_sha256":"b64b64b9dcf12becb4f7206fda852787c5c2a8f758cd48c777ee9809f7e0915d","dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"w1-2","seq":2,"branch_id":"w1","kind":"verification","cmd":"/opt/receipts-10fc290b11b04209b44ab2b511829b68/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-10fc290b11b04209b44ab2b511829b68/receipts_pytest.py --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning tests/pipeline/test_pipeline_ml.py -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/w1-2.xml","path":null,"exit_code":1,"stdout_tail":"et_save_with_active_run[save_args3]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args4]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_active_run[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[None]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args1]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args2]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args3]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args4]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_with_run_id[save_args5]\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_append_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_save_overwrite_mode\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_logged_by_default_if_unordered\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_given_step\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_load_last_given_step_if_duplicated\nFAILED tests/io/metrics/test_mlflow_metric_dataset.py::test_mlflow_metric_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[list-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[dict-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-list]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-dict]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_save_load[history-history]\nFAILED tests/io/metrics/test_mlflow_metric_history_dataset.py::test_mlflow_metric_history_dataset_logging_deactivation\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics2-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-None]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_and_logged[metrics3-test]\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_saved_without_run_id\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_exists\nFAILED tests/io/metrics/test_mlflow_metrics_dataset.py::test_mlflow_metrics_dataset_does_not_exist\nFAILED tests/io/models/test_mlflow_model_registry_dataset.py::test_mlflow_model_registry_load_given_stage_or_version\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_sklearn_flavor_with_run_id_and_already_active_run\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_with_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[False]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_save_and_load_sklearn_flavor_without_run_id[True]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_ml_obj]\nFAILED tests/io/models/test_mlflow_model_tracking_dataset.py::test_pyfunc_flavor_python_model_save_and_load[pipeline_inference]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[None-expected0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[assign-expected1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[deepcopy-expected2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_with_copy_mode[copy_mode3-expected3]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_too_many_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_model_packaging_missing_artifacts\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_ml_loading_deepcopiable_catalog\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_dummy-dummy_catalog-raw_data-result0]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_intermediary_artifacts-catalog_with_encoder-raw_data-result1]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_inputs_artifacts-catalog_with_stopwords-data-result2]\nFAILED tests/mlflow/test_kedro_pipeline_model.py::test_kedro_pipeline_model_save_and_load[pipeline_inference_with_parameters-catalog_with_parameters-data-result3]\n=========== 80 failed, 169 passed, 1 skipped, 32 warnings in 55.85s 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assert {'artifact_pa...: 'dataframe'} == {'artifact_pa...: 'dataframe'}\n  Omitting 3 identical items, use -vv to show\n  Differing items:\n  {'serving_input_path': 'serving_input_example.json'} != {'serving_input_path': 'serving_input_payload.json'}\n  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[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/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 `599040656403316387` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 599040656403316387\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `599040656403316387` does not exist in the tracking server. Provide a valid experiment_id.","tests/framework/hooks/test_hook_active_run.py::test_hook_active_run_exists_with_different_tracking_uri":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `599040656403316387` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 599040656403316387\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `599040656403316387` 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-2/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-2/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-2/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-2/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_mlflow_csv_pkl_dataset_save_reload[CSVDataset-.csv-df1-None]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.","tests/io/artifacts/test_mlflow_artifact_dataset.py::test_artifact_dataset_save_with_run_id[False]":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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-2/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-2/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_load_with_run_id":"mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: No Experiment with id=548223237534454452 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 `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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-2/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 0x7fffb7cc0280>}).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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-2/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 0x7fffb7cc0280>}).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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-2/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 0x7fffb7e75600>}).\nThe provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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-2/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 0x7fffb7e75600>}).\n    The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` 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 `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id.\nE   mlflow.exceptions.MlflowException: Could not find experiment with ID 548223237534454452\n\nThe above exception was the direct cause of the following exception:\nE   mlflow.exceptions.MlflowException: The provided MLFLOW_EXPERIMENT_ID environment variable value `548223237534454452` does not exist in the tracking server. Provide a valid experiment_id."}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}