class_docstr: Split matching a subsplit of the given split.
class_docstr_tok: ["Split","matching","a","subsplit","of","the","given","split","."]
code: def to_absolute(self, split_infos: splits_lib.SplitDict):
      # Extract the absolute instructions
      # One absolute instruction is created per `+`, so `train[:54%]+train[60%:]`
      # will create 2 absolute instructions.
      read_instruction = splits_lib.AbstractSplit.from_spec(self.split)
      absolute_instructions = read_instruction.to_absolute(split_infos)
  
      # Create the subsplit
      read_instructions_for_index = [
          self._absolute_to_read_instruction_for_index(
              abs_inst, split_infos
          )
          for abs_inst in absolute_instructions
      ]
      instuctions = functools.reduce(
          operator.add, read_instructions_for_index
      )
      return instuctions.to_absolute(split_infos)
  
file_path: datasets/tensorflow_datasets/core/subsplits_utils.py
imports: import dataclasses
  import functools
  import operator
  from typing import List, Optional
  from absl import logging
  from tensorflow_datasets.core import lazy_imports_lib
  from tensorflow_datasets.core import splits
label_desc: Use image node_id 1 for calling the _EvenSplit obj's underlying member method code with example usage: obj.to_absolute(split_infos) and returns: instuctions