code: def __init__(
      self,
      nlp,
      X_factory,
      mX_factory,
      category_idx_store,
      term_idx_store,
      metadata_idx_store,
      y,
      term_doc_mat_fact,
  ):
      ParsePipelineFactoryWithoutCategories.__init__(
          self,
          nlp,
          X_factory,
          mX_factory,
          term_idx_store,
          metadata_idx_store,
          term_doc_mat_fact,
      )
      self._register_doc_and_category = (
          self._term_doc_mat_fact._register_doc_and_category
      )
      self._category_col = self._term_doc_mat_fact._category_col
      self.category_idx_store = category_idx_store
      self.y = y
  
imports: import numpy
  import pandas
  from scattertext.AsianNLP import chinese_nlp
  from scattertext.CSRMatrixTools import CSRMatrixFactory
  from scattertext.TermDocMatrix import TermDocMatrix
  from scattertext.TermDocMatrixFactory import TermDocMatrixFactory
  from scattertext.TermDocMatrixWithoutCategories import TermDocMatrixWithoutCategories
  from scattertext.indexstore.IndexStore import IndexStore
label_desc: Use image node_id 1 to create a new ParsePipelineFactory object from inherited base classes: ParsePipelineFactoryWithoutCategories with example: obj = ParsePipelineFactory(nlp, X_factory, mX_factory, category_idx_store, term_idx_store, metadata_idx_store, y, term_doc_mat_fact)