class_docstr: Samples elements from a given list of indices.
  Args:
      indices (sequence): a sequence of indices
class_docstr_tok: ["Samples","elements","from","a","given","list","of","indices",".","Args",":","indices","(","sequence",")",":","a","sequence","of","indices"]
code: def __len__(self) -> int:
      return len(self.indices)
  
imports: from typing import Iterator, Sequence
  from torch.utils.data.sampler import Sampler
label_desc: Use image node_id 3 for calling the FixedSampler obj's underlying member method code with example usage: obj.__len__() and returns: len