code: def test_infer_chromosomes(spark):
      df = spark.createDataFrame(
          [
              Row(header="chr_3_block_8_alpha_0_label_sim100"),
              Row(header="chr_3_alpha_0_label_sim100"),
              Row(header="chr_X_alpha_0_label_sim100"),
              Row(header="chr_decoy_1_block_8_alpha_0_label_sim100"),
              Row(header="chr_decoy_2_alpha_0_label_sim100"),
          ]
      )
      assert sorted(infer_chromosomes(df)) == [
          "3",
          "X",
          "decoy_1",
          "decoy_2",
      ]
  
imports: from glow.wgr.model_functions import *
  from glow.wgr.model_functions import _prepare_covariates, _prepare_labels_and_warn
  import math
  import numpy
  import pandas
  from pyspark.sql import Row
  import pytest
  from sklearn.linear_model import LogisticRegression
  from sklearn.datasets import load_breast_cancer
label_desc: Use image node_id 13 for calling a global function with example usage: test_infer_chromosomes(spark) without return types