class_docstr: Client of an MLflow Tracking Server that enabled the default basic authentication plugin.
  It is recommended to use :py:func:`mlflow.server.get_app_client()` to instantiate this class.
  See https://mlflow.org/docs/latest/auth.html for more information.
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docstr: Get an registered model permission for a user.
  
  :param name: The name of the registered model.
  :param username: The username.
  
  :return: A single :py:class:`mlflow.server.auth.entities.RegisteredModelPermission` object.
           Raises ``RestException`` if the user does not exist,
           or no permission exists for this registered model user pair.
           Note that the default permission will still be effective even if
           no permission exists.
  
  .. code-block:: bash
      :caption: Example
  
      export MLFLOW_TRACKING_USERNAME=admin
      export MLFLOW_TRACKING_PASSWORD=password
  
  .. code-block:: python
  
      from mlflow.server.auth.client import AuthServiceClient
  
      client = AuthServiceClient("tracking_uri")
      client.create_user("newuser", "newpassword")
      client.create_registered_model_permission("myregisteredmodel", "newuser", "READ")
      rmp = client.get_registered_model_permission("myregisteredmodel", "newuser")
      print(f"name: {rmp.name}")
      print(f"user_id: {rmp.user_id}")
      print(f"permission: {rmp.permission}")
  
  .. code-block:: text
      :caption: Output
  
      name: myregisteredmodel
      user_id: 3
      permission: READ
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code: def get_registered_model_permission(self, name: str, username: str):
      """
      Get an registered model permission for a user.
  
      :param name: The name of the registered model.
      :param username: The username.
  
      :return: A single :py:class:`mlflow.server.auth.entities.RegisteredModelPermission` object.
               Raises ``RestException`` if the user does not exist,
               or no permission exists for this registered model user pair.
               Note that the default permission will still be effective even if
               no permission exists.
  
      .. code-block:: bash
          :caption: Example
  
          export MLFLOW_TRACKING_USERNAME=admin
          export MLFLOW_TRACKING_PASSWORD=password
  
      .. code-block:: python
  
          from mlflow.server.auth.client import AuthServiceClient
  
          client = AuthServiceClient("tracking_uri")
          client.create_user("newuser", "newpassword")
          client.create_registered_model_permission("myregisteredmodel", "newuser", "READ")
          rmp = client.get_registered_model_permission("myregisteredmodel", "newuser")
          print(f"name: {rmp.name}")
          print(f"user_id: {rmp.user_id}")
          print(f"permission: {rmp.permission}")
  
      .. code-block:: text
          :caption: Output
  
          name: myregisteredmodel
          user_id: 3
          permission: READ
      """
      resp = self._request(
          GET_REGISTERED_MODEL_PERMISSION,
          "GET",
          params={"name": name, "username": username},
      )
      return RegisteredModelPermission.from_json(
          resp["registered_model_permission"]
      )
  
imports: from mlflow.server.auth.entities import ExperimentPermission, RegisteredModelPermission, User
  from mlflow.server.auth.routes import CREATE_EXPERIMENT_PERMISSION, CREATE_REGISTERED_MODEL_PERMISSION, CREATE_USER, DELETE_EXPERIMENT_PERMISSION, DELETE_REGISTERED_MODEL_PERMISSION, DELETE_USER, GET_EXPERIMENT_PERMISSION, GET_REGISTERED_MODEL_PERMISSION, GET_USER, UPDATE_EXPERIMENT_PERMISSION, UPDATE_REGISTERED_MODEL_PERMISSION, UPDATE_USER_ADMIN, UPDATE_USER_PASSWORD
  from mlflow.tracking._tracking_service.utils import _get_default_host_creds
  from mlflow.utils.rest_utils import http_request_safe
label_desc: Use image node_id 13 for calling the AuthServiceClient obj's underlying member method code with example usage: obj.get_registered_model_permission(name, username) and returns: RegisteredModelPermission