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.
class_docstr_tok: ["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","."]
docstr: :param tracking_uri: Address of local or remote tracking server.
docstr_tok: [":","param","tracking_uri",":","Address","of","local","or","remote","tracking","server","."]
code: def __init__(self, tracking_uri: str):
      """
      :param tracking_uri: Address of local or remote tracking server.
      """
      self.tracking_uri = tracking_uri
  
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 1 to create a new AuthServiceClient object  with example: obj = AuthServiceClient(tracking_uri)