code: def test_reshape_no_loco(spark):
      df = pd.read_csv(
          "test-data/wgr/ridge-regression/pts.csv"
      ).set_index("sample_id")
      reshaped = glow.wgr.reshape_for_gwas(spark, df)
      assert reshaped.count() == 4
      assert reshaped.columns == ["label", "values"]
      pt_list = reshaped.where('label = "sim100"').head().values
      expected = df["sim100"]
      assert np.allclose(expected, pt_list)
  
imports: import numpy
  import pandas
  import pytest
  import glow
label_desc: Use image node_id 4 for calling a global function with example usage: test_reshape_no_loco(spark) without return types