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","."]
code: def _request(self, endpoint, method, **kwargs):
      host_creds = _get_default_host_creds(self.tracking_uri)
      resp = http_request_safe(host_creds, endpoint, method, **kwargs)
      return resp.json()
  
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 2 for calling the AuthServiceClient obj's underlying member method code with example usage: obj._request(endpoint, method) and returns: resp