code: def test_new_gt_255_compatible_namedtuple():
      fields_count = 1000
      field_names = ["f{}".format(i) for i in range(fields_count)]
      values = list(range(1000))
      huge_tuple = _new_gt_255_compatible_namedtuple(
          "HUGE_TUPLE", field_names
      )
      huge_tuple_instance = huge_tuple(**dict(zip(field_names, values)))
      assert len(huge_tuple_instance) == fields_count
      assert huge_tuple_instance.f764 == 764
  
imports: from __future__ import division
  from decimal import Decimal
  import numpy
  import pyarrow
  import pyarrow.parquet
  import pytest
  from pyspark import Row
  from pyspark.sql.types import StringType, IntegerType, DecimalType, ShortType, LongType
  from petastorm.codecs import ScalarCodec, NdarrayCodec
  from petastorm.unischema import Unischema, UnischemaField, dict_to_spark_row, insert_explicit_nulls, match_unischema_fields, _new_gt_255_compatible_namedtuple, _fullmatch
  from unittest import mock
label_desc: Use image node_id 33 for calling a global function with example usage: test_new_gt_255_compatible_namedtuple() without return types