code: def test_assert_no_header_numpy_serializer():
      serializer = NoHeaderNumpySerializer()
      t = np.ones((10,))
      assert serializer.can_serialize(t)
      data, name = serializer.serialize(t)
      assert name == "no_header_numpy:10"
      assert serializer._dtype is None
      serializer.setup(name)
      assert serializer._dtype == np.dtype("float64")
      new_t = serializer.deserialize(data)
      np.testing.assert_equal(t, new_t)
  
file_path: pytorch-lightning/tests/tests_data/streaming/test_serializer.py
imports: import os
  import sys
  from time import time
  import numpy
  import pytest
  import torch
  from lightning import seed_everything
  from lightning.data.streaming.serializers import _AV_AVAILABLE, _NUMPY_DTYPES_MAPPING, _SERIALIZERS, _TORCH_DTYPES_MAPPING, _TORCH_VISION_AVAILABLE, IntSerializer, NoHeaderNumpySerializer, NoHeaderTensorSerializer, NumpySerializer, PickleSerializer, PILSerializer, TensorSerializer, VideoSerializer
  from lightning_utilities.core.imports import RequirementCache
label_desc: Use image node_id 8 for calling a global function with example usage: test_assert_no_header_numpy_serializer() without return types