class_docstr: Client for a remote model registry server accessed via REST API calls
  
  :param store_uri: URI with scheme 'databricks-uc'
  :param tracking_uri: URI of the Databricks MLflow tracking server from which to fetch
                       run info and download run artifacts, when creating new model
                       versions from source artifacts logged to an MLflow run.
class_docstr_tok: ["Client","for","a","remote","model","registry","server","accessed","via","REST","API","calls",":","param","store_uri",":","URI","with","scheme","'databricks-uc'",":","param","tracking_uri",":","URI","of","the","Databricks","MLflow","tracking","server","from","which","to","fetch","run","info","and","download","run","artifacts",",","when","creating","new","model","versions","from","source","artifacts","logged","to","an","MLflow","run","."]
code: def _get_endpoint_from_method(self, method):
      return _METHOD_TO_INFO[method]
  
imports: import base64
  import functools
  import logging
  import os
  import shutil
  from contextlib import contextmanager
  import mlflow
  from mlflow.entities import Run
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_uc_registry_messages_pb2 import MODEL_VERSION_OPERATION_READ_WRITE, CreateModelVersionRequest, CreateModelVersionResponse, CreateRegisteredModelRequest, CreateRegisteredModelResponse, DeleteModelVersionRequest, DeleteModelVersionResponse, DeleteModelVersionTagRequest, DeleteModelVersionTagResponse, DeleteRegisteredModelAliasRequest, DeleteRegisteredModelAliasResponse, DeleteRegisteredModelRequest, DeleteRegisteredModelResponse, DeleteRegisteredModelTagRequest, DeleteRegisteredModelTagResponse, Entity, FinalizeModelVersionRequest, FinalizeModelVersionResponse, GenerateTemporaryModelVersionCredentialsRequest, GenerateTemporaryModelVersionCredentialsResponse, GetModelVersionByAliasRequest, GetModelVersionByAliasResponse, GetModelVersionDownloadUriRequest, GetModelVersionDownloadUriResponse, GetModelVersionRequest, GetModelVersionResponse, GetRegisteredModelRequest, GetRegisteredModelResponse, Job, LineageHeaderInfo, Notebook, SearchModelVersionsRequest, SearchModelVersionsResponse, SearchRegisteredModelsRequest, SearchRegisteredModelsResponse, SetModelVersionTagRequest, SetModelVersionTagResponse, SetRegisteredModelAliasRequest, SetRegisteredModelAliasResponse, SetRegisteredModelTagRequest, SetRegisteredModelTagResponse, TemporaryCredentials, UpdateModelVersionRequest, UpdateModelVersionResponse, UpdateRegisteredModelRequest, UpdateRegisteredModelResponse
  from mlflow.protos.databricks_uc_registry_service_pb2 import UcModelRegistryService
  from mlflow.protos.service_pb2 import GetRun, MlflowService
  from mlflow.store._unity_catalog.registry.utils import get_artifact_repo_from_storage_info, get_full_name_from_sc, model_version_from_uc_proto, registered_model_from_uc_proto, uc_model_version_tag_from_mlflow_tags, uc_registered_model_tag_from_mlflow_tags
  from mlflow.store.entities.paged_list import PagedList
  from mlflow.store.model_registry.rest_store import BaseRestStore
  from mlflow.utils._spark_utils import _get_active_spark_session
  from mlflow.utils.annotations import experimental
  from mlflow.utils.databricks_utils import get_databricks_host_creds, is_databricks_uri
  from mlflow.utils.mlflow_tags import MLFLOW_DATABRICKS_JOB_ID, MLFLOW_DATABRICKS_JOB_RUN_ID, MLFLOW_DATABRICKS_NOTEBOOK_ID
  from mlflow.utils.proto_json_utils import message_to_json, parse_dict
  from mlflow.utils.rest_utils import _REST_API_PATH_PREFIX, extract_all_api_info_for_service, extract_api_info_for_service, http_request, verify_rest_response
label_desc: Use image node_id 3 for calling the UcModelRegistryStore obj's underlying member method code with example usage: obj._get_endpoint_from_method(method) and returns: _METHOD_TO_INFO