code: def decimal_number_check(
      request, parser, numeric_decimal, thousands, float_precision
  ):
      # GH#31920
      value = numeric_decimal[0]
      if thousands is None and value in (
          "1_,",
          "1_234,56",
          "1_234,56e0",
      ):
          request.applymarker(
              pytest.mark.xfail(
                  reason=f"thousands={thousands} and sep is in {value}"
              )
          )
      df = parser.read_csv(
          StringIO(value),
          float_precision=float_precision,
          sep="|",
          thousands=thousands,
          decimal=",",
          header=None,
      )
      val = df.iloc[0, 0]
      assert val == numeric_decimal[1]
  
imports: from collections import defaultdict
  from io import StringIO
  import numpy
  import pytest
  from pandas.errors import ParserWarning
  import pandas
  from pandas import DataFrame, Timestamp
  import pandas._testing
  from pandas.core.arrays import ArrowStringArray, IntegerArray, StringArray
label_desc: Use image node_id 11 for calling a global function with example usage: decimal_number_check(request, parser, numeric_decimal, thousands, float_precision) without return types