class_docstr: Distributor using the python build-in map, which calculates each job sequentially one after the other.
class_docstr_tok: ["Distributor","using","the","python","build-in","map",",","which","calculates","each","job","sequentially","one","after","the","other","."]
docstr: Creates a new MapDistributor instance
  
  :param disable_progressbar: whether to show a progressbar or not.
  :type disable_progressbar: bool
  :param progressbar_title: the title of the progressbar
  :type progressbar_title: basestring
docstr_tok: ["Creates","a","new","MapDistributor","instance",":","param","disable_progressbar",":","whether","to","show","a","progressbar","or","not",".",":","type","disable_progressbar",":","bool",":","param","progressbar_title",":","the","title","of","the","progressbar",":","type","progressbar_title",":","basestring"]
code: def __init__(
      self,
      disable_progressbar=False,
      progressbar_title="Feature Extraction",
  ):
      """
      Creates a new MapDistributor instance
  
      :param disable_progressbar: whether to show a progressbar or not.
      :type disable_progressbar: bool
      :param progressbar_title: the title of the progressbar
      :type progressbar_title: basestring
      """
      self.disable_progressbar = disable_progressbar
      self.progressbar_title = progressbar_title
  
imports: import itertools
  import math
  import warnings
  from collections.abc import Generator, Iterable
  from functools import partial
  from itertools import islice, repeat, takewhile
  from multiprocessing import Pool
  from tqdm import tqdm
  from tsfresh.feature_extraction.data import TsData
label_desc: Use image node_id 1 to create a new MapDistributor object from inherited base classes: IterableDistributorBaseClass with example: obj = MapDistributor(disable_progressbar, progressbar_title)