code: def __init__(
      self,
      cond_check_format,
      valid_formats,
      cond_check_size_image,
      original_width_min_cutoff,
      original_width_max_cutoff,
      original_height_min_cutoff,
      original_height_max_cutoff,
      rendered_width_min_cutoff,
      rendered_width_max_cutoff,
      rendered_height_min_cutoff,
      rendered_height_max_cutoff,
      aspect_ratio_max_cutoff,
      cond_remove_non_printing_characters,
      non_printing_characters_re,
      cond_standardize_whitespace,
      cond_check_number_words_node_level,
      strip_characters,
      number_words_node_level_min_cutoff,
      number_words_node_level_max_cutoff,
      cond_check_character_repetition_ratio_node_level,
      character_repetition_length_node_level,
      character_repetition_node_level_max_cutoff,
      cond_check_word_repetition_ratio_node_level,
      word_repetition_length_node_level,
      word_repetition_node_level_max_cutoff,
      cond_check_special_character_ratio_node_level,
      special_character_ratio_node_level_max_cutoff,
      cond_check_stopword_ratio_node_level,
      stopwords,
      stopword_ratio_node_level_min_cutoff,
      cond_check_flagged_word_ratio_node_level,
      flagged_words,
      flagged_word_ratio_node_level_max_cutoff,
      cond_check_punctuation_ratio_node_level,
      min_number_words_to_check_punctuation_ratio_node_level,
      punctuation,
      punctuation_ratio_node_level_min_cutoff,
      cond_check_common_word_ratio_node_level,
      path_common_words,
      common_word_ratio_node_level_min_cutoff,
      cond_check_lang_id_node_level,
      path_lang_id_model,
      lang_id_node_level_min_cutoff,
      cond_check_perplexity_score_node_level,
      digits_re,
      unicode_punctuation,
      path_sentencepiece_model,
      path_kenlm_model,
      perplexity_score_node_level_max_cutoff,
  ):
      self.cond_check_format = cond_check_format
      self.valid_formats = valid_formats
  
      self.cond_check_size_image = cond_check_size_image
      self.original_width_min_cutoff = original_width_min_cutoff
      self.original_width_max_cutoff = original_width_max_cutoff
      self.original_height_min_cutoff = original_height_min_cutoff
      self.original_height_max_cutoff = original_height_max_cutoff
      self.rendered_width_min_cutoff = rendered_width_min_cutoff
      self.rendered_width_max_cutoff = rendered_width_max_cutoff
      self.rendered_height_min_cutoff = rendered_height_min_cutoff
      self.rendered_height_max_cutoff = rendered_height_max_cutoff
      self.aspect_ratio_max_cutoff = aspect_ratio_max_cutoff
  
      self.cond_remove_non_printing_characters = (
          cond_remove_non_printing_characters
      )
      self.non_printing_characters_re = non_printing_characters_re
  
      self.cond_standardize_whitespace = cond_standardize_whitespace
  
      self.cond_check_number_words_node_level = (
          cond_check_number_words_node_level
      )
      self.strip_characters = strip_characters
      self.number_words_node_level_min_cutoff = (
          number_words_node_level_min_cutoff
      )
      self.number_words_node_level_max_cutoff = (
          number_words_node_level_max_cutoff
      )
  
      self.cond_check_character_repetition_ratio_node_level = (
          cond_check_character_repetition_ratio_node_level
      )
      self.character_repetition_length_node_level = (
          character_repetition_length_node_level
      )
      self.character_repetition_node_level_max_cutoff = (
          character_repetition_node_level_max_cutoff
      )
  
      self.cond_check_word_repetition_ratio_node_level = (
          cond_check_word_repetition_ratio_node_level
      )
      self.word_repetition_length_node_level = (
          word_repetition_length_node_level
      )
      self.word_repetition_node_level_max_cutoff = (
          word_repetition_node_level_max_cutoff
      )
  
      self.cond_check_special_character_ratio_node_level = (
          cond_check_special_character_ratio_node_level
      )
      self.special_character_ratio_node_level_max_cutoff = (
          special_character_ratio_node_level_max_cutoff
      )
  
      self.cond_check_stopword_ratio_node_level = (
          cond_check_stopword_ratio_node_level
      )
      self.stopwords = stopwords
      self.stopword_ratio_node_level_min_cutoff = (
          stopword_ratio_node_level_min_cutoff
      )
  
      self.cond_check_flagged_word_ratio_node_level = (
          cond_check_flagged_word_ratio_node_level
      )
      self.flagged_words = flagged_words
      self.flagged_word_ratio_node_level_max_cutoff = (
          flagged_word_ratio_node_level_max_cutoff
      )
  
      self.cond_check_punctuation_ratio_node_level = (
          cond_check_punctuation_ratio_node_level
      )
      self.min_number_words_to_check_punctuation_ratio_node_level = (
          min_number_words_to_check_punctuation_ratio_node_level
      )
      self.punctuation = punctuation
      self.punctuation_ratio_node_level_min_cutoff = (
          punctuation_ratio_node_level_min_cutoff
      )
  
      self.cond_check_common_word_ratio_node_level = (
          cond_check_common_word_ratio_node_level
      )
      self.path_common_words = path_common_words
      with open(path_common_words) as f:
          self.common_words = json.load(f)
      self.common_word_ratio_node_level_min_cutoff = (
          common_word_ratio_node_level_min_cutoff
      )
  
      self.cond_check_lang_id_node_level = cond_check_lang_id_node_level
      self.path_lang_id_model = path_lang_id_model
      if cond_check_lang_id_node_level:
          self.lang_id_model = fasttext.load_model(path_lang_id_model)
      self.lang_id_node_level_min_cutoff = lang_id_node_level_min_cutoff
  
      self.cond_check_perplexity_score_node_level = (
          cond_check_perplexity_score_node_level
      )
      self.digits_re = digits_re
      self.unicode_punctuation = unicode_punctuation
      self.path_sentencepiece_model = path_sentencepiece_model
      if cond_check_perplexity_score_node_level:
          self.sentencepiece_model = (
              sentencepiece.SentencePieceProcessor()
          )
          self.sentencepiece_model.load(path_sentencepiece_model)
      self.path_kenlm_model = path_kenlm_model
      if cond_check_perplexity_score_node_level:
          self.kenlm_model = kenlm.Model(path_kenlm_model)
      self.perplexity_score_node_level_max_cutoff = (
          perplexity_score_node_level_max_cutoff
      )
  
imports: import json
  import re
  from collections import Counter
  import fasttext
  import kenlm
  import numpy
  import sentencepiece
  from obelics.utils import SPECIAL_CHARACTERS
label_desc: Use image node_id 1 to create a new WebDocumentFilteringNodeLevel object  with example: obj = WebDocumentFilteringNodeLevel(cond_check_format, valid_formats, cond_check_size_image, original_width_min_cutoff, original_width_max_cutoff, original_height_min_cutoff, original_height_max_cutoff, rendered_width_min_cutoff, rendered_width_max_cutoff, rendered_height_min_cutoff, rendered_height_max_cutoff, aspect_ratio_max_cutoff, cond_remove_non_printing_characters, non_printing_characters_re, cond_standardize_whitespace, cond_check_number_words_node_level, strip_characters, number_words_node_level_min_cutoff, number_words_node_level_max_cutoff, cond_check_character_repetition_ratio_node_level, character_repetition_length_node_level, character_repetition_node_level_max_cutoff, cond_check_word_repetition_ratio_node_level, word_repetition_length_node_level, word_repetition_node_level_max_cutoff, cond_check_special_character_ratio_node_level, special_character_ratio_node_level_max_cutoff, cond_check_stopword_ratio_node_level, stopwords, stopword_ratio_node_level_min_cutoff, cond_check_flagged_word_ratio_node_level, flagged_words, flagged_word_ratio_node_level_max_cutoff, cond_check_punctuation_ratio_node_level, min_number_words_to_check_punctuation_ratio_node_level, punctuation, punctuation_ratio_node_level_min_cutoff, cond_check_common_word_ratio_node_level, path_common_words, common_word_ratio_node_level_min_cutoff, cond_check_lang_id_node_level, path_lang_id_model, lang_id_node_level_min_cutoff, cond_check_perplexity_score_node_level, digits_re, unicode_punctuation, path_sentencepiece_model, path_kenlm_model, perplexity_score_node_level_max_cutoff)