b9224ee28f8d1fe669ae9c09738257bcaf0efd19,tests/tracking/test_fluent.py,,test_start_run_defaults,#Any#,154

Before Change

        "mlflow.tracking.context._get_source_version", return_value=mock_source_version
    )

    create_run_patch = mock.patch.object(MlflowClient, "create_run")

    expected_tags = {
        mlflow_tags.MLFLOW_SOURCE_NAME: mock_source_name,
        mlflow_tags.MLFLOW_SOURCE_TYPE: mock_source_type,

After Change

    }

    with experiment_id_patch, databricks_notebook_patch, source_name_patch, source_type_patch, \
            source_version_patch, mock.patch.object(MlflowClient, "create_run"), \
            mock.patch.object(SourceType, "to_string", return_value="some source"), \
            mock.patch.object(SourceType, "from_string", return_value=mock_source_type):
        active_run = start_run()
        MlflowClient.create_run.assert_called_once_with(
            experiment_id=mock_experiment_id,

Instances