code: def validate_predictions(cls, predictions):
      if isinstance(predictions, list) and not predictions:
          raise ValueError("The input list is empty")
      if isinstance(predictions, list) and all(
          isinstance(item, list) and not item for item in predictions
      ):
          raise ValueError(
              "One or more lists in the returned prediction response are empty"
          )
      elif all(isinstance(item, float) for item in predictions):
          return [predictions]
      else:
          return predictions
  
imports: import time
  from typing import List
  from fastapi import HTTPException
  from fastapi.encoders import jsonable_encoder
  from pydantic import BaseModel, StrictFloat, StrictStr, ValidationError, validator
  from mlflow.gateway.config import MlflowModelServingConfig, RouteConfig
  from mlflow.gateway.constants import MLFLOW_SERVING_RESPONSE_KEY
  from mlflow.gateway.providers.base import BaseProvider
  from mlflow.gateway.providers.utils import send_request
  from mlflow.gateway.schemas import chat, completions, embeddings
label_desc: Use image node_id 1 for calling the EmbeddingsResponse obj's underlying member method code with example usage: obj.validate_predictions(cls, predictions) and returns: list, predictions