code: def __init__(self, multiple_readers=True, multiple_writers=True):
      self._reader, self._writer = connection.Pipe(duplex=False)
      self._rlock = Lock() if multiple_readers else None
      self._wlock = Lock() if multiple_writers else None
  
file_path: tinygrad/examples/mlperf/dataloader.py
imports: import random, time, ctypes, struct
  import numpy
  from PIL import Image
  from tqdm import tqdm
  import pickle
  from tinygrad import dtypes, Tensor
  from tinygrad.helpers import getenv, prod, Timing
  from multiprocessing import Queue, Process, shared_memory, connection, Lock
label_desc: Use image node_id 1 to create a new MyQueue object  with example: obj = MyQueue(multiple_readers, multiple_writers)