code: def test_correct_half_versus_regenie(spark):
      compare_corrections_to_regenie(
          spark,
          0.5,
          "test_bin_out_half_firth_",
          compare_all_cols=False,
          uncorrected=103,
          corrected=97,
      )
  
imports: from dataclasses import dataclass
  import functions
  import glow.gwas.log_reg
  import glow.gwas.approx_firth
  import pandas
  from nptyping import Float, NDArray
  import numpy
  import pytest
  from typing import Any
label_desc: Use image node_id 10 for calling a global function with example usage: test_correct_half_versus_regenie(spark) without return types