code: def test_case_insensitive_grouping_column(self):
      # SPARK-31915: case-insensitive grouping column should work.
      def my_pandas_udf(pdf):
          return pdf.assign(score=0.5)
  
      df = self.spark.createDataFrame([[1, 1]], ["column", "score"])
      row = (
          df.groupby("COLUMN")
          .applyInPandas(
              my_pandas_udf, schema="column integer, score float"
          )
          .first()
      )
      self.assertEqual(row.asDict(), Row(column=1, score=0.5).asDict())
  
imports: import datetime
  import unittest
  from collections import OrderedDict
  from decimal import Decimal
  from typing import cast
  from pyspark.sql import Row
  from pyspark.sql.functions import array, explode, col, lit, udf, sum, pandas_udf, PandasUDFType, window
  from pyspark.sql.types import IntegerType, DoubleType, ArrayType, BinaryType, ByteType, LongType, DecimalType, ShortType, FloatType, StringType, BooleanType, StructType, StructField, NullType, MapType, YearMonthIntervalType
  from pyspark.errors import PythonException, PySparkTypeError
  from pyspark.testing.sqlutils import ReusedSQLTestCase, have_pandas, have_pyarrow, pandas_requirement_message, pyarrow_requirement_message
  from pyspark.testing.utils import QuietTest
label_desc: Use image node_id 41 for calling the GroupedApplyInPandasTestsMixin obj's underlying member method code with example usage: obj.test_case_insensitive_grouping_column() and returns: pdf