code: def test_multiple(rg):
      n_sample = 50
      n_cov = 10
      n_pheno = 25
      phenotype_df = pd.DataFrame(
          random_phenotypes((n_sample, n_pheno), rg)
      )
      covariate_df = pd.DataFrame(rg.random((n_sample, n_cov)))
      genotype_df = pd.DataFrame(rg.random((n_sample, 1)))
      assert_glow_equals_golden(genotype_df, phenotype_df, covariate_df)
  
imports: from pyspark.sql.types import ArrayType, DoubleType
  import glow.gwas.log_reg
  import glow.gwas.functions
  import statsmodels.api
  import pandas
  import numpy
  import pytest
label_desc: Use image node_id 10 for calling a global function with example usage: test_multiple(rg) without return types