code: def test_normalize_large_array_dtype_fp16():
      # See: https://github.com/Lightning-AI/lightning-flash/pull/1359 for the motivation behind this test
      arr = np.linspace(0, 10000, 10000, dtype=np.float16)
      col_name = "data"
      test_df_type_fp16 = pd.DataFrame({"data": arr})
      mean, std = _compute_normalization(test_df_type_fp16, [col_name])
      df = _normalize(test_df_type_fp16, [col_name], mean, std)
      assert np.allclose(df[col_name].mean(), 0.0)
  
file_path: lightning-flash/tests/tabular/classification/test_data.py
imports: from pathlib import Path
  from unittest.mock import Mock
  import numpy
  import pytest
  from flash.core.data.io.input import DataKeys
  from flash.core.utilities.imports import _TOPIC_TABULAR_AVAILABLE
label_desc: Use image node_id 3 for calling a global function with example usage: test_normalize_large_array_dtype_fp16() without return types