code: def validate_embeddings_format(embeddings):
      """Validate that the data is in the required format.
  
      Parameters
      ----------
      embeddings
          The embeddings of the batch. Result of VisionData's batch_to_embeddings
      Raises
      ------
      DeepchecksValueError
          If the images doesn't fit the required deepchecks format.
      """
      if not isinstance(embeddings, Iterable):
          raise ValidationError(
              "The batch embeddings must be an iterable."
          )
  
file_path: deepchecks/deepchecks/vision/vision_data/format_validators.py
imports: from numbers import Number
  from typing import Iterable
  import numpy
  from deepchecks.core.errors import ValidationError
  from deepchecks.vision.vision_data import TaskType
  from deepchecks.vision.vision_data.utils import object_to_numpy, sequence_to_numpy
label_desc: Use image node_id 6 for calling a global function with example usage: validate_embeddings_format(embeddings) without return types