old_contents: """
  Provides the MLflow fluent API, allowing management of an active MLflow run.
  For example:
  
  .. code:: python
  
      import mlflow
      mlflow.start_run()
      mlflow.log_param("my", "param")
      mlflow.log_metric("score", 100)
      mlflow.end_run()
  
  You can also use syntax like this:
  
  .. code:: python
  
      with mlflow.start_run() as run:
          ...
  
  which will automatically terminate the run at the end of the block.
  """
  
  import os
  
  # Filter annoying Cython warnings that serve no good purpose, and so before
  # importing other modules.
  # See: https://github.com/numpy/numpy/pull/432/commits/170ed4e33d6196d7
  import warnings
  warnings.filterwarnings("ignore", message="numpy.dtype size changed")  # noqa: E402
  warnings.filterwarnings("ignore", message="numpy.ufunc size changed")  # noqa: E402
  
  # pylint: disable=wrong-import-position
  import mlflow.projects as projects  # noqa
  import mlflow.tracking as tracking  # noqa
  import mlflow.tracking.fluent
  
  ActiveRun = mlflow.tracking.fluent.ActiveRun
  log_param = mlflow.tracking.fluent.log_param
  log_metric = mlflow.tracking.fluent.log_metric
  set_tag = mlflow.tracking.fluent.set_tag
  log_artifacts = mlflow.tracking.fluent.log_artifacts
  log_artifact = mlflow.tracking.fluent.log_artifact
  active_run = mlflow.tracking.fluent.active_run
  start_run = mlflow.tracking.fluent.start_run
  end_run = mlflow.tracking.fluent.end_run
  get_artifact_uri = mlflow.tracking.fluent.get_artifact_uri
  set_tracking_uri = tracking.set_tracking_uri
  get_tracking_uri = tracking.get_tracking_uri
  create_experiment = mlflow.tracking.fluent.create_experiment
  
  
  run = projects.run
  
  
  __all__ = ["ActiveRun", "log_param", "log_metric", "set_tag", "log_artifacts", "log_artifact",
             "active_run", "start_run", "end_run", "get_artifact_uri", "set_tracking_uri",
             "create_experiment", "run"]
  
new_contents: """
  Provides the MLflow fluent API, allowing management of an active MLflow run.
  For example:
  
  .. code:: python
  
      import mlflow
      mlflow.start_run()
      mlflow.log_param("my", "param")
      mlflow.log_metric("score", 100)
      mlflow.end_run()
  
  You can also use syntax like this:
  
  .. code:: python
  
      with mlflow.start_run() as run:
          ...
  
  which will automatically terminate the run at the end of the block.
  """
  
  from mlflow.version import VERSION as __version__
  
  import os
  
  # Filter annoying Cython warnings that serve no good purpose, and so before
  # importing other modules.
  # See: https://github.com/numpy/numpy/pull/432/commits/170ed4e33d6196d7
  import warnings
  warnings.filterwarnings("ignore", message="numpy.dtype size changed")  # noqa: E402
  warnings.filterwarnings("ignore", message="numpy.ufunc size changed")  # noqa: E402
  
  # pylint: disable=wrong-import-position
  import mlflow.projects as projects  # noqa
  import mlflow.tracking as tracking  # noqa
  import mlflow.tracking.fluent
  
  ActiveRun = mlflow.tracking.fluent.ActiveRun
  log_param = mlflow.tracking.fluent.log_param
  log_metric = mlflow.tracking.fluent.log_metric
  set_tag = mlflow.tracking.fluent.set_tag
  log_artifacts = mlflow.tracking.fluent.log_artifacts
  log_artifact = mlflow.tracking.fluent.log_artifact
  active_run = mlflow.tracking.fluent.active_run
  start_run = mlflow.tracking.fluent.start_run
  end_run = mlflow.tracking.fluent.end_run
  get_artifact_uri = mlflow.tracking.fluent.get_artifact_uri
  set_tracking_uri = tracking.set_tracking_uri
  get_tracking_uri = tracking.get_tracking_uri
  create_experiment = mlflow.tracking.fluent.create_experiment
  
  
  run = projects.run
  
  
  __all__ = ["ActiveRun", "log_param", "log_metric", "set_tag", "log_artifacts", "log_artifact",
             "active_run", "start_run", "end_run", "get_artifact_uri", "set_tracking_uri",
             "create_experiment", "run"]
  
subject: Add __version__ (#372)