code: def _get_path(path_prefix, endpoint_path):
      return f"{path_prefix}{endpoint_path}"
  
imports: import base64
  import json
  import requests
  from mlflow.environment_variables import MLFLOW_HTTP_REQUEST_BACKOFF_FACTOR, MLFLOW_HTTP_REQUEST_BACKOFF_JITTER, MLFLOW_HTTP_REQUEST_MAX_RETRIES, MLFLOW_HTTP_REQUEST_TIMEOUT
  from mlflow.exceptions import InvalidUrlException, MlflowException, RestException, get_error_code
  from mlflow.protos import databricks_pb2
  from mlflow.protos.databricks_pb2 import ENDPOINT_NOT_FOUND, INVALID_PARAMETER_VALUE, ErrorCode
  from mlflow.utils.proto_json_utils import parse_dict
  from mlflow.utils.request_utils import _TRANSIENT_FAILURE_RESPONSE_CODES, _get_http_response_with_retries, augmented_raise_for_status, cloud_storage_http_request
  from mlflow.utils.string_utils import strip_suffix
label_desc: Use image node_id 5 for calling a global function with example usage: _get_path(path_prefix, endpoint_path) and returns: path_prefix, endpoint_path