code: def make_datetimetz(unit, tz):
      if _pandas_api.is_v1():
          unit = "ns"  # ARROW-3789: Coerce date/timestamp types to datetime64[ns]
      tz = pa.lib.string_to_tzinfo(tz)
      return _pandas_api.datetimetz_type(unit, tz=tz)
  
imports: import ast
  from collections.abc import Sequence
  from concurrent import futures
  import concurrent.futures.thread
  from copy import deepcopy
  from itertools import zip_longest
  import json
  import operator
  import re
  import warnings
  import numpy
  import pyarrow
  from pyarrow.lib import _pandas_api, frombytes
label_desc: Use image node_id 21 for calling a global function with example usage: make_datetimetz(unit, tz) and returns: _pandas_api