'''simple docstring'''
import argparse
from collections import defaultdict

import yaml


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







def  _UpperCamelCase (     _a	:	Optional[int]			):




    """simple docstring"""



    __UpperCamelCase	:	Optional[Any]		    =  defaultdict(lowerCAmelCase__			)
    __UpperCamelCase	:	List[Any]		    =  []
    __UpperCamelCase	:	Optional[int]		    =  []
    for doc in doc_list:
        if "local" in doc:
            counts[doc["local"]] += 1

        if doc["title"].lower() == "overview":
            overview_doc.append({'local': doc['local'], 'title': doc['title']}			)
        else:
            new_doc_list.append(lowerCAmelCase__			)

    __UpperCamelCase	:	Any		    =  new_doc_list
    __UpperCamelCase	:	Optional[Any]		    =  [key for key, value in counts.items() if value > 1]

    __UpperCamelCase	:	List[str]		    =  []
    for duplicate_key in duplicates:
        __UpperCamelCase	:	Union[str, Any]		    =  list({doc['title'] for doc in doc_list if doc['local'] == duplicate_key}			)
        if len(lowerCAmelCase__			) > 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 doc_list if 'local' not in counts or counts[doc['local']] == 1]			)
    __UpperCamelCase	:	int		    =  sorted(lowerCAmelCase__				,     key=lambda _a			: s["title"].lower()			)

    # "overview" gets special treatment and is always first
    if len(lowerCAmelCase__			) > 1:
        raise ValueError('{doc_list} has two \'overview\' docs which is not allowed.'			)

    overview_doc.extend(lowerCAmelCase__			)

    # Sort
    return overview_doc







def  _UpperCamelCase (     _a	:	Dict=False			):




    """simple docstring"""



    with open(lowerCAmelCase__				,     encoding='utf-8'			) as f:
        __UpperCamelCase	:	int		    =  yaml.safe_load(f.read()			)

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

    # Then to the model doc
    __UpperCamelCase	:	Tuple		    =  0
    while api_doc[scheduler_idx]["title"] != "Schedulers":
        scheduler_idx += 1

    __UpperCamelCase	:	List[Any]		    =  api_doc[scheduler_idx]['sections']
    __UpperCamelCase	:	Union[str, Any]		    =  clean_doc_toc(lowerCAmelCase__			)

    __UpperCamelCase	:	Any		    =  False
    if new_scheduler_doc != scheduler_doc:
        __UpperCamelCase	:	Optional[int]		    =  True
        if overwrite:
            __UpperCamelCase	:	Optional[int]		    =  new_scheduler_doc

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







def  _UpperCamelCase (     _a	:	Tuple=False			):




    """simple docstring"""



    with open(lowerCAmelCase__				,     encoding='utf-8'			) as f:
        __UpperCamelCase	:	Union[str, Any]		    =  yaml.safe_load(f.read()			)

    # Get to the API doc
    __UpperCamelCase	:	Tuple		    =  0
    while content[api_idx]["title"] != "API":
        api_idx += 1
    __UpperCamelCase	:	Union[str, Any]		    =  content[api_idx]['sections']

    # Then to the model doc
    __UpperCamelCase	:	Tuple		    =  0
    while api_doc[pipeline_idx]["title"] != "Pipelines":
        pipeline_idx += 1

    __UpperCamelCase	:	Optional[Any]		    =  False
    __UpperCamelCase	:	List[Any]		    =  api_doc[pipeline_idx]['sections']
    __UpperCamelCase	:	Dict		    =  []

    # sort sub pipeline docs
    for pipeline_doc in pipeline_docs:
        if "section" in pipeline_doc:
            __UpperCamelCase	:	str		    =  pipeline_doc['section']
            __UpperCamelCase	:	str		    =  clean_doc_toc(lowerCAmelCase__			)
            if overwrite:
                __UpperCamelCase	:	Union[str, Any]		    =  new_sub_pipeline_doc
        new_pipeline_docs.append(lowerCAmelCase__			)

    # sort overall pipeline doc
    __UpperCamelCase	:	List[str]		    =  clean_doc_toc(lowerCAmelCase__			)

    if new_pipeline_docs != pipeline_docs:
        __UpperCamelCase	:	Optional[Any]		    =  True
        if overwrite:
            __UpperCamelCase	:	int		    =  new_pipeline_docs

    if diff:
        if overwrite:
            __UpperCamelCase	:	Tuple		    =  api_doc
            with open(lowerCAmelCase__				,     'w'				,     encoding='utf-8'			) as f:
                f.write(yaml.dump(lowerCAmelCase__				,     allow_unicode=lowerCAmelCase__			)			)
        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_scheduler_doc(args.fix_and_overwrite)
  check_pipeline_doc(args.fix_and_overwrite)




'''simple docstring'''
import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 			__lowercase		(						_lowerCamelCase			,							unittest.TestCase						):







     """simple docstring"""






     SCREAMING_SNAKE_CASE__		   =						OpenAIGPTTokenizer
     SCREAMING_SNAKE_CASE__		   =						OpenAIGPTTokenizerFast
     SCREAMING_SNAKE_CASE__		   =						True
     SCREAMING_SNAKE_CASE__		   =						False







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

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         __UpperCamelCase	:	List[Any]		    =  [
             'l',
             'o',
             'w',
             'e',
             'r',
             's',
             't',
             'i',
             'd',
             'n',
             'w</w>',
             'r</w>',
             't</w>',
             'lo',
             'low',
             'er</w>',
             'low</w>',
             'lowest</w>',
             'newer</w>',
             'wider</w>',
             '<unk>',
         ]
         __UpperCamelCase	:	List[str]		    =  dict(zip(_lowerCamelCase     ,			range(len(_lowerCamelCase    )    )    )    )
         __UpperCamelCase	:	Union[str, Any]		    =  ['#version: 0.2', 'l o', 'lo w', 'e r</w>', '']

         __UpperCamelCase	:	Optional[int]		    =  os.path.join(self.tmpdirname     ,			VOCAB_FILES_NAMES['vocab_file']    )
         __UpperCamelCase	:	Tuple		    =  os.path.join(self.tmpdirname     ,			VOCAB_FILES_NAMES['merges_file']    )
         with open(self.vocab_file     ,			'w'    ) as fp:
             fp.write(json.dumps(_lowerCamelCase    )    )
         with open(self.merges_file     ,			'w'    ) as fp:
             fp.write('\n'.join(_lowerCamelCase    )    )







     def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):
         return "lower newer", "lower newer"







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Dict		    =  OpenAIGPTTokenizer(self.vocab_file     ,			self.merges_file    )

         __UpperCamelCase	:	List[Any]		    =  'lower'
         __UpperCamelCase	:	Union[str, Any]		    =  ['low', 'er</w>']
         __UpperCamelCase	:	Tuple		    =  tokenizer.tokenize(_lowerCamelCase    )
         self.assertListEqual(_lowerCamelCase     ,			_lowerCamelCase    )

         __UpperCamelCase	:	List[str]		    =  tokens + ['<unk>']
         __UpperCamelCase	:	Optional[Any]		    =  [1_4, 1_5, 2_0]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase    )     ,			_lowerCamelCase    )







     def lowerCAmelCase     (		self     ,			_lowerCamelCase=1_5    ):
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""    ):
                 __UpperCamelCase	:	Dict		    =  self.rust_tokenizer_class.from_pretrained(_lowerCamelCase     ,			**_lowerCamelCase    )

                 # Simple input
                 __UpperCamelCase	:	int		    =  'This is a simple input'
                 __UpperCamelCase	:	Any		    =  ['This is a simple input 1', 'This is a simple input 2']
                 __UpperCamelCase	:	Union[str, Any]		    =  ('This is a simple input', 'This is a pair')
                 __UpperCamelCase	:	Any		    =  [
                     ('This is a simple input 1', 'This is a simple input 2'),
                     ('This is a simple pair 1', 'This is a simple pair 2'),
                 ]

                 # Simple input tests
                 self.assertRaises(_lowerCamelCase     ,			tokenizer_r.encode     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'    )

                 # Simple input
                 self.assertRaises(_lowerCamelCase     ,			tokenizer_r.encode_plus     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'    )

                 # Simple input
                 self.assertRaises(
                     _lowerCamelCase     ,			tokenizer_r.batch_encode_plus     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'     ,			)

                 # Pair input
                 self.assertRaises(_lowerCamelCase     ,			tokenizer_r.encode     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'    )

                 # Pair input
                 self.assertRaises(_lowerCamelCase     ,			tokenizer_r.encode_plus     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'    )

                 # Pair input
                 self.assertRaises(
                     _lowerCamelCase     ,			tokenizer_r.batch_encode_plus     ,			_lowerCamelCase     ,			max_length=_lowerCamelCase     ,			padding='max_length'     ,			)







     def lowerCAmelCase     (		self    ):
         pass






@require_ftfy
@require_spacy
@require_tokenizers
class 			__lowercase		(						_lowerCamelCase						):







     """simple docstring"""






     pass



