class_docstr: docstring for SeededFakeDataFlow
class_docstr_tok: ["docstring","for","SeededFakeDataFlow"]
code: def __init__(self, seed=42, size=32):
      super(SeededFakeDataFlow, self).__init__()
      self.seed = seed
      self._size = size
      self.cache = []
  
file_path: tensorpack/tensorpack/dataflow/serialize_test.py
imports: import tempfile
  import numpy
  import os
  import unittest
  from tensorpack.dataflow import HDF5Serializer, LMDBSerializer, NumpySerializer, TFRecordSerializer
  from tensorpack.dataflow.base import DataFlow
label_desc: Use image node_id 1 to create a new SeededFakeDataFlow object from inherited base classes: DataFlow with example: obj = SeededFakeDataFlow(seed, size)