

"""simple docstring"""






import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class        _lowercase					(     __UpperCAmelCase   , unittest.TestCase     ):
     _lowerCamelCase     =       CTRLTokenizer
     _lowerCamelCase     =       False
     _lowerCamelCase     =       False







     def 	lowerCAmelCase__    (      self       ):
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      __magic_name__     =      ['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
      __magic_name__     =      dict(zip(UpperCamelCase_ ,						range(len(UpperCamelCase_       )       )       )       )
      __magic_name__     =      ['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
      __magic_name__     =      {'''unk_token''': '''<unk>'''}

      __magic_name__     =      os.path.join(self.tmpdirname ,						VOCAB_FILES_NAMES['''vocab_file''']       )
      __magic_name__     =      os.path.join(self.tmpdirname ,						VOCAB_FILES_NAMES['''merges_file''']       )
      with open(self.vocab_file ,						'''w''' ,						encoding='''utf-8'''       ) as fp:
       fp.write(json.dumps(UpperCamelCase_       ) + '''\n'''       )
      with open(self.merges_file ,						'''w''' ,						encoding='''utf-8'''       ) as fp:
       fp.write('''\n'''.join(UpperCamelCase_       )       )







     def 	lowerCAmelCase__    (      self ,						**UpperCamelCase_       ):
      kwargs.update(self.special_tokens_map       )
      return CTRLTokenizer.from_pretrained(self.tmpdirname ,						**UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      __magic_name__     =      '''adapt react readapt apt'''
      __magic_name__     =      '''adapt react readapt apt'''
      return input_text, output_text







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      CTRLTokenizer(self.vocab_file ,						self.merges_file ,						**self.special_tokens_map       )
      __magic_name__     =      '''adapt react readapt apt'''
      __magic_name__     =      '''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
      __magic_name__     =      tokenizer.tokenize(UpperCamelCase_       )
      self.assertListEqual(UpperCamelCase_ ,						UpperCamelCase_       )

      __magic_name__     =      tokens + [tokenizer.unk_token]

      __magic_name__     =      [0, 1, 2, 4, 5, 1, 0, 3, 6]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_       ) ,						UpperCamelCase_       )








"""simple docstring"""






import html

from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from ...utils import is_bsa_available, logging, requires_backends


if is_bsa_available():
 import bsa
 from bsa import BeautifulSoup


__lowerCamelCase										=		logging.get_logger(__name__)
class        _lowercase					(     __UpperCAmelCase     ):







     def __init__(      self ,						**UpperCamelCase_       ):
      requires_backends(self ,						['''bs4''']       )
      super().__init__(**UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      __magic_name__     =      []
      __magic_name__     =      []
      __magic_name__     =      element if element.name else element.parent
      for parent in child.parents:  # type: bs4.element.Tag
       __magic_name__     =      parent.find_all(child.name ,						recursive=UpperCamelCase_       )
       xpath_tags.append(child.name       )
       xpath_subscripts.append(
           0 if 1 == len(UpperCamelCase_       ) else next(i for i, s in enumerate(UpperCamelCase_ ,						1       ) if s is child       )       )
       __magic_name__     =      parent
      xpath_tags.reverse()
      xpath_subscripts.reverse()
      return xpath_tags, xpath_subscripts







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      __magic_name__     =      BeautifulSoup(UpperCamelCase_ ,						'''html.parser'''       )

      __magic_name__     =      []
      __magic_name__     =      []
      __magic_name__     =      []

      for element in html_code.descendants:
       if type(UpperCamelCase_       ) == bsa.element.NavigableString:
        if type(element.parent       ) != bsa.element.Tag:
         continue

        __magic_name__     =      html.unescape(UpperCamelCase_       ).strip()
        if not text_in_this_tag:
         continue

        all_doc_strings.append(UpperCamelCase_       )

        __magic_name__   ,						__magic_name__     =      self.xpath_soup(UpperCamelCase_       )
        stringaxtag_seq.append(UpperCamelCase_       )
        stringaxsubs_seq.append(UpperCamelCase_       )

      if len(UpperCamelCase_       ) != len(UpperCamelCase_       ):
       raise ValueError('''Number of doc strings and xtags does not correspond'''       )
      if len(UpperCamelCase_       ) != len(UpperCamelCase_       ):
       raise ValueError('''Number of doc strings and xsubs does not correspond'''       )

      return all_doc_strings, stringaxtag_seq, stringaxsubs_seq







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      __magic_name__     =      ''''''
      for tagname, subs in zip(UpperCamelCase_ ,						UpperCamelCase_       ):
       xpath += f'''/{tagname}'''
       if subs != 0:
        xpath += f'''[{subs}]'''
      return xpath







     def __call__(      self ,						UpperCamelCase_       ):
      __magic_name__     =      False

      # Check that strings has a valid type
      if isinstance(UpperCamelCase_ ,						UpperCamelCase_       ):
       __magic_name__     =      True
      elif isinstance(UpperCamelCase_ ,						(list, tuple)       ):
       if len(UpperCamelCase_       ) == 0 or isinstance(html_strings[0] ,						UpperCamelCase_       ):
        __magic_name__     =      True

      if not valid_strings:
       raise ValueError(
           '''HTML strings must of type `str`, `List[str]` (batch of examples), '''
           f'''but is of type {type(UpperCamelCase_       )}.'''       )

      __magic_name__     =      bool(isinstance(UpperCamelCase_ ,						(list, tuple)       ) and (isinstance(html_strings[0] ,						UpperCamelCase_       ))       )

      if not is_batched:
       __magic_name__     =      [html_strings]

      # Get nodes + xpaths
      __magic_name__     =      []
      __magic_name__     =      []
      for html_string in html_strings:
       __magic_name__   ,						__magic_name__   ,						__magic_name__     =      self.get_three_from_single(UpperCamelCase_       )
       nodes.append(UpperCamelCase_       )
       __magic_name__     =      []
       for node, tag_list, sub_list in zip(UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_       ):
        __magic_name__     =      self.construct_xpath(UpperCamelCase_ ,						UpperCamelCase_       )
        xpath_strings.append(UpperCamelCase_       )
       xpaths.append(UpperCamelCase_       )

      # return as Dict
      __magic_name__     =      {'''nodes''': nodes, '''xpaths''': xpaths}
      __magic_name__     =      BatchFeature(data=UpperCamelCase_ ,						tensor_type=UpperCamelCase_       )

      return encoded_inputs

