code: def setup(self, dtype):
      N = 10**6
      df = DataFrame({"col": np.arange(N, dtype=dtype)})
      indexer = np.arange(100, len(df) - 100)
  
      @test_parallel(num_threads=2)
      def parallel_take1d():
          take_nd(df["col"].values, indexer)
  
      self.parallel_take1d = parallel_take1d
  
imports: from functools import wraps
  import threading
  import numpy
  from pandas import DataFrame, Index, Series, date_range, factorize, read_csv
  from pandas.core.algorithms import take_nd
  from .pandas_vb_common import BaseIO
  from .pandas_vb_common import setup
label_desc: Use image node_id 1 for calling the ParallelTake1D obj's underlying member method code with example usage: obj.setup(dtype) without return types