code: def __init__(self, compression: CompressionBase):
      self.compression = compression
      self.mp_counter, self.mp_part_size = mp.Value(
          c_int32, 0
      ), mp.Value(c_int32, 0)
      super().__init__()
  
imports: import multiprocessing
  from ctypes import c_int32
  import pytest
  import torch
  import torch.nn
  import hivemind
  from hivemind.compression import CompressionBase, CompressionInfo, Float16Compression, NoCompression, PerTensorCompression, RoleAdaptiveCompression, SizeAdaptiveCompression, Uniform8BitQuantization, deserialize_torch_tensor, serialize_torch_tensor
  from hivemind.compression.adaptive import AdaptiveCompressionBase
  from hivemind.proto.runtime_pb2 import CompressionType
  from hivemind.utils.streaming import combine_from_streaming, split_for_streaming
  from test_utils.dht_swarms import launch_dht_instances
label_desc: Use image node_id 1 to create a new TrackedCompression object from inherited base classes: AdaptiveCompressionBase with example: obj = TrackedCompression(compression)