class_docstr: A sequence that also defines a shape attribute. This indexable data structure
  can be provided as input to ivis.
class_docstr_tok: ["A","sequence","that","also","defines","a","shape","attribute",".","This","indexable","data","structure","can","be","provided","as","input","to","ivis","."]
docstr: Returns a batch of data points based on the index sequence provided.
  
  Non-optimized version, can be overridden by child classes to be made be efficient
docstr_tok: ["Returns","a","batch","of","data","points","based","on","the","index","sequence","provided",".","Non-optimized","version",",","can","be","overridden","by","child","classes","to","be","made","be","efficient"]
code: def get_batch(self, idx_seq):
      """Returns a batch of data points based on the index sequence provided.
  
      Non-optimized version, can be overridden by child classes to be made be efficient
      """
      return [self.__getitem__(item) for item in idx_seq]
  
imports: from abc import abstractmethod
  from collections.abc import Sequence
label_desc: Use image node_id 2 for calling the IndexableDataset obj's underlying member method code with example usage: obj.get_batch(idx_seq) and returns: unknown