code: def test_bad_column_name(spark, rg):
      num_samples = 10
      genotype_df = pd.DataFrame(rg.random((num_samples, 10)))
      phenotype_df = pd.DataFrame(rg.random((num_samples, 5)))
      covariate_df = pd.DataFrame(rg.random((num_samples, 5)))
      with pytest.raises(ValueError):
          run_linear_regression_spark(
              spark,
              genotype_df,
              phenotype_df,
              covariate_df,
              values_column="genotypes",
          )
  
imports: import functions
  import numpy
  import statsmodels.api
  import pandas
  import glow.gwas.functions
  import glow.gwas.lin_reg
  import pytest
label_desc: Use image node_id 36 for calling a global function with example usage: test_bad_column_name(spark, rg) without return types