"""simple docstring"""






import json
import os
import unittest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class     UpperCAmelCase						(__UpperCAmelCase    ,unittest.TestCase  ):



    """simple docstring"""

    _UpperCAmelCase	:str						    = CLIPTokenizer
    _UpperCAmelCase	:Union[str, Any]						    = CLIPTokenizerFast
    _UpperCAmelCase	:Dict						    = True
    _UpperCAmelCase	:Union[str, Any]						    = {}
    _UpperCAmelCase	:Optional[int]						    = False






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

       # fmt: off
       lowercase__:   int					=      ['''l''', '''o''', '''w''', '''e''', '''r''', '''s''', '''t''', '''i''', '''d''', '''n''', '''lo''', '''l</w>''', '''w</w>''', '''r</w>''', '''t</w>''', '''low</w>''', '''er</w>''', '''lowest</w>''', '''newer</w>''', '''wider''', '''<unk>''', '''<|startoftext|>''', '''<|endoftext|>''']
       # fmt: on
       lowercase__:   str					=      dict(zip(UpperCamelCase__    ,			range(len(UpperCamelCase__							)							)							)							)
       lowercase__:   List[Any]					=      ['''#version: 0.2''', '''l o''', '''lo w</w>''', '''e r</w>''']
       lowercase__:   Any					=      {'''unk_token''': '''<unk>'''}

       lowercase__:   Optional[Any]					=      os.path.join(self.tmpdirname    ,			VOCAB_FILES_NAMES['''vocab_file''']							)
       lowercase__:   Optional[int]					=      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 _snake_case			(   self    ,			**_UpperCAmelCase							):
       kwargs.update(self.special_tokens_map							)
       return CLIPTokenizer.from_pretrained(self.tmpdirname    ,			**UpperCamelCase__							)






    def _snake_case			(   self    ,			**_UpperCAmelCase							):
       kwargs.update(self.special_tokens_map							)
       return CLIPTokenizerFast.from_pretrained(self.tmpdirname    ,			**UpperCamelCase__							)






    def _snake_case			(   self    ,			_UpperCAmelCase							):
       lowercase__:   Tuple					=      '''lower newer'''
       lowercase__:   str					=      '''lower newer'''
       return input_text, output_text






    def _snake_case			(   self							):
       lowercase__:   Optional[int]					=      CLIPTokenizer(self.vocab_file    ,			self.merges_file    ,			**self.special_tokens_map							)
       lowercase__:   Tuple					=      '''lower newer'''
       lowercase__:   List[str]					=      ['''lo''', '''w''', '''er</w>''', '''n''', '''e''', '''w''', '''er</w>''']
       lowercase__:   List[str]					=      tokenizer.tokenize(UpperCamelCase__							)
       self.assertListEqual(UpperCamelCase__    ,			UpperCamelCase__							)

       lowercase__:   List[str]					=      tokens + [tokenizer.unk_token]
       lowercase__:   Optional[int]					=      [10, 2, 16, 9, 3, 2, 16, 20]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__							)    ,			UpperCamelCase__							)






    @require_ftfy
    def _snake_case			(   self							):



       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
             lowercase__:   str					=      self.tokenizer_class.from_pretrained(UpperCamelCase__    ,			**UpperCamelCase__							)
             lowercase__:   Union[str, Any]					=      self.rust_tokenizer_class.from_pretrained(UpperCamelCase__    ,			**UpperCamelCase__							)

             lowercase__:   Tuple					=      '''A\n\'ll 11p223RF☆ho!!to?\'d\'d\'\'d of a cat to-$\'\'d.'''
             lowercase__:   str					=      tokenizer_s.tokenize(UpperCamelCase__							)
             lowercase__:   Tuple					=      tokenizer_r.tokenize(UpperCamelCase__							)

             self.assertListEqual(UpperCamelCase__    ,			UpperCamelCase__							)

             # Test that the tokenization is identical on an example containing a character (Latin Small Letter A
             # with Tilde) encoded in 2 different ways
             lowercase__:   List[Any]					=      '''xa\u0303y''' + ''' ''' + '''x\xe3y'''
             lowercase__:   Tuple					=      tokenizer_s.tokenize(UpperCamelCase__							)
             lowercase__:   Any					=      tokenizer_r.tokenize(UpperCamelCase__							)

             self.assertListEqual(UpperCamelCase__    ,			UpperCamelCase__							)

             # Test that the tokenization is identical on unicode of space type
             lowercase__:   str					=      [
                 '''\u0009''',  # (horizontal tab, '\t')
                 '''\u000B''',  # (vertical tab)
                 '''\u000C''',  # (form feed)
                 '''\u0020''',  # (space, ' ')
                 '''\u200E''',  # (left-to-right mark):w
                 '''\u200F''',  # (right-to-left mark)
             ]
             for unicode_seq in spaces_unicodes:
                lowercase__:   List[str]					=      tokenizer_s.tokenize(UpperCamelCase__							)
                lowercase__:   Optional[Any]					=      tokenizer_r.tokenize(UpperCamelCase__							)

                self.assertListEqual(UpperCamelCase__    ,			UpperCamelCase__							)

             # Test that the tokenization is identical on unicode of line break type
             lowercase__:   List[Any]					=      [
                 '''\u000A''',  # (line feed, '\n')
                 '''\r\n''',  # (carriage return and line feed, '\r\n')
                 '''\u000D''',  # (carriage return, '\r')
                 '''\r''',  # (carriage return, '\r')
                 '''\u000D''',  # (carriage return, '\r')
                 '''\u2028''',  # (line separator)
                 '''\u2029''',  # (paragraph separator)
                 # "\u0085", # (next line)
             ]

             # The tokenization is not identical for the character "\u0085" (next line). The slow version using ftfy transforms
             # it into the Horizontal Ellipsis character "…" ("\u2026") while the fast version transforms it into a
             # space (and thus into an empty list).

             for unicode_seq in line_break_unicodes:
                lowercase__:   Any					=      tokenizer_s.tokenize(UpperCamelCase__							)
                lowercase__:   Optional[Any]					=      tokenizer_r.tokenize(UpperCamelCase__							)

                self.assertListEqual(UpperCamelCase__    ,			UpperCamelCase__							)






    def _snake_case			(   self							):



       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
             lowercase__:   List[str]					=      '''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
             lowercase__:   Union[str, Any]					=      F"""{text_of_1_token} {text_of_1_token}"""

             lowercase__:   List[str]					=      self.rust_tokenizer_class.from_pretrained(
                 UpperCamelCase__    ,			use_fast=UpperCamelCase__    ,			)
             lowercase__:   Tuple					=      tokenizer_r(UpperCamelCase__    ,			return_offsets_mapping=UpperCamelCase__    ,			add_special_tokens=UpperCamelCase__							)
             self.assertEqual(encoding.offset_mapping[0]    ,			(0, len(UpperCamelCase__							))							)
             self.assertEqual(
                 encoding.offset_mapping[1]    ,			(len(UpperCamelCase__							) + 1, len(UpperCamelCase__							) + 1 + len(UpperCamelCase__							))    ,			)

             lowercase__:   Tuple					=      F""" {text}"""

             lowercase__:   Any					=      self.rust_tokenizer_class.from_pretrained(
                 UpperCamelCase__    ,			use_fast=UpperCamelCase__    ,			)
             lowercase__:   Any					=      tokenizer_r(UpperCamelCase__    ,			return_offsets_mapping=UpperCamelCase__    ,			add_special_tokens=UpperCamelCase__							)
             self.assertEqual(encoding.offset_mapping[0]    ,			(1, 1 + len(UpperCamelCase__							))							)
             self.assertEqual(
                 encoding.offset_mapping[1]    ,			(1 + len(UpperCamelCase__							) + 1, 1 + len(UpperCamelCase__							) + 1 + len(UpperCamelCase__							))    ,			)






    def _snake_case			(   self							):



       with self.assertRaises(UpperCamelCase__							) as context:
          self.rust_tokenizer_class.from_pretrained('''robot-test/old-clip-tokenizer'''							)

       self.assertTrue(
           context.exception.args[0].startswith(
               '''The `backend_tokenizer` provided does not match the expected format.'''							)							)






    @require_ftfy
    def _snake_case			(   self							):
       super().test_tokenization_python_rust_equals()






    def _snake_case			(   self							):
       pass






import argparse
from collections import defaultdict

import yaml


_A     =			'''docs/source/en/_toctree.yml'''





def __UpperCamelCase			(       _A  ):
						lowerCAmelCase_      			=  defaultdict(_A  )
						for doc in model_doc:
												counts[doc["local"]] += 1
						lowerCAmelCase_      			=  [key for key, value in counts.items() if value > 1]

						lowerCAmelCase_      			=  []
						for duplicate_key in duplicates:
												lowerCAmelCase_      			=  list({doc['''title'''] for doc in model_doc if doc['''local'''] == duplicate_key}  )
												if len(_A  ) > 1:
																		raise ValueError(
																		    f"{duplicate_key} is present several times in the documentation table of content at "
																		    '''`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '''
																		    '''others.'''  )
												# Only add this once
												new_doc.append({'''local''': duplicate_key, '''title''': titles[0]}  )

						# Add none duplicate-keys
						new_doc.extend([doc for doc in model_doc if counts[doc['''local''']] == 1]  )

						# Sort
						return sorted(_A ,  key=lambda _A  : s["title"].lower()  )





def __UpperCamelCase			(       _A=False  ):
						with open(_A ,  encoding='''utf-8'''  ) as f:
												lowerCAmelCase_      			=  yaml.safe_load(f.read()  )

						# Get to the API doc
						lowerCAmelCase_      			=  0
						while content[api_idx]["title"] != "API":
												api_idx += 1
						lowerCAmelCase_      			=  content[api_idx]['''sections''']

						# Then to the model doc
						lowerCAmelCase_      			=  0
						while api_doc[model_idx]["title"] != "Models":
												model_idx += 1

						lowerCAmelCase_      			=  api_doc[model_idx]['''sections''']

						lowerCAmelCase_      			=  [(idx, section) for idx, section in enumerate(_A  ) if '''sections''' in section]
						lowerCAmelCase_      			=  False
						for idx, modality_doc in modalities_docs:
												lowerCAmelCase_      			=  modality_doc['''sections''']
												lowerCAmelCase_      			=  clean_model_doc_toc(_A  )

												if old_modality_doc != new_modality_doc:
																		lowerCAmelCase_      			=  True
																		if overwrite:
																								lowerCAmelCase_      			=  new_modality_doc

						if diff:
												if overwrite:
																		lowerCAmelCase_      			=  model_doc
																		lowerCAmelCase_      			=  api_doc
																		with open(_A ,  '''w''' ,  encoding='''utf-8'''  ) as f:
																								f.write(yaml.dump(_A ,  allow_unicode=_A  )  )
												else:
																		raise ValueError(
																		    '''The model doc part of the table of content is not properly sorted, run `make style` to fix this.'''  )


if __name__ == "__main__":
						_A     =			argparse.ArgumentParser()
						parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
						_A     =			parser.parse_args()

						check_model_doc(args.fix_and_overwrite)




