
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_funnel import FunnelTokenizer


lowerCamelCase_						     =					logging.get_logger(__name__)

lowerCamelCase_						     =					{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase_						     =					[
    'small',
    'small-base',
    'medium',
    'medium-base',
    'intermediate',
    'intermediate-base',
    'large',
    'large-base',
    'xlarge',
    'xlarge-base',
]

lowerCamelCase_						     =					{
    'vocab_file': {
        'funnel-transformer/small': 'https://huggingface.co/funnel-transformer/small/resolve/main/vocab.txt',
        'funnel-transformer/small-base': 'https://huggingface.co/funnel-transformer/small-base/resolve/main/vocab.txt',
        'funnel-transformer/medium': 'https://huggingface.co/funnel-transformer/medium/resolve/main/vocab.txt',
        'funnel-transformer/medium-base': (
            'https://huggingface.co/funnel-transformer/medium-base/resolve/main/vocab.txt'
        ),
        'funnel-transformer/intermediate': (
            'https://huggingface.co/funnel-transformer/intermediate/resolve/main/vocab.txt'
        ),
        'funnel-transformer/intermediate-base': (
            'https://huggingface.co/funnel-transformer/intermediate-base/resolve/main/vocab.txt'
        ),
        'funnel-transformer/large': 'https://huggingface.co/funnel-transformer/large/resolve/main/vocab.txt',
        'funnel-transformer/large-base': 'https://huggingface.co/funnel-transformer/large-base/resolve/main/vocab.txt',
        'funnel-transformer/xlarge': 'https://huggingface.co/funnel-transformer/xlarge/resolve/main/vocab.txt',
        'funnel-transformer/xlarge-base': (
            'https://huggingface.co/funnel-transformer/xlarge-base/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'funnel-transformer/small': 'https://huggingface.co/funnel-transformer/small/resolve/main/tokenizer.json',
        'funnel-transformer/small-base': (
            'https://huggingface.co/funnel-transformer/small-base/resolve/main/tokenizer.json'
        ),
        'funnel-transformer/medium': 'https://huggingface.co/funnel-transformer/medium/resolve/main/tokenizer.json',
        'funnel-transformer/medium-base': (
            'https://huggingface.co/funnel-transformer/medium-base/resolve/main/tokenizer.json'
        ),
        'funnel-transformer/intermediate': (
            'https://huggingface.co/funnel-transformer/intermediate/resolve/main/tokenizer.json'
        ),
        'funnel-transformer/intermediate-base': (
            'https://huggingface.co/funnel-transformer/intermediate-base/resolve/main/tokenizer.json'
        ),
        'funnel-transformer/large': 'https://huggingface.co/funnel-transformer/large/resolve/main/tokenizer.json',
        'funnel-transformer/large-base': (
            'https://huggingface.co/funnel-transformer/large-base/resolve/main/tokenizer.json'
        ),
        'funnel-transformer/xlarge': 'https://huggingface.co/funnel-transformer/xlarge/resolve/main/tokenizer.json',
        'funnel-transformer/xlarge-base': (
            'https://huggingface.co/funnel-transformer/xlarge-base/resolve/main/tokenizer.json'
        ),
    },
}
lowerCamelCase_						     =					{f'funnel-transformer/{name}': 5_12 for name in _model_names}
lowerCamelCase_						     =					{f'funnel-transformer/{name}': {'do_lower_case': True} for name in _model_names}




class      __A(    lowerCamelCase__			):

		"""simple docstring"""
		SCREAMING_SNAKE_CASE__         =      VOCAB_FILES_NAMES
		SCREAMING_SNAKE_CASE__         =      PRETRAINED_VOCAB_FILES_MAP
		SCREAMING_SNAKE_CASE__         =      PRETRAINED_INIT_CONFIGURATION
		SCREAMING_SNAKE_CASE__         =      FunnelTokenizer
		SCREAMING_SNAKE_CASE__         =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		SCREAMING_SNAKE_CASE__         =      2







		def __init__(self	,      SCREAMING_SNAKE_CASE_=None	,      SCREAMING_SNAKE_CASE_=None	,      SCREAMING_SNAKE_CASE_=True	,      SCREAMING_SNAKE_CASE_="<unk>"	,      SCREAMING_SNAKE_CASE_="<sep>"	,      SCREAMING_SNAKE_CASE_="<pad>"	,      SCREAMING_SNAKE_CASE_="<cls>"	,      SCREAMING_SNAKE_CASE_="<mask>"	,      SCREAMING_SNAKE_CASE_="<s>"	,      SCREAMING_SNAKE_CASE_="</s>"	,      SCREAMING_SNAKE_CASE_=True	,      SCREAMING_SNAKE_CASE_=True	,      SCREAMING_SNAKE_CASE_=None	,      SCREAMING_SNAKE_CASE_="##"	,      **SCREAMING_SNAKE_CASE_	,      ):
							super().__init__(
							    __snake_case	,      tokenizer_file=__snake_case	,      do_lower_case=__snake_case	,      unk_token=__snake_case	,      sep_token=__snake_case	,      pad_token=__snake_case	,      cls_token=__snake_case	,      mask_token=__snake_case	,      bos_token=__snake_case	,      eos_token=__snake_case	,      clean_text=__snake_case	,      tokenize_chinese_chars=__snake_case	,      strip_accents=__snake_case	,      wordpieces_prefix=__snake_case	,      **__snake_case	,      )

							UpperCamelCase__				=    json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
							if (
							    normalizer_state.get("""lowercase"""	,      __snake_case						) != do_lower_case
							    or normalizer_state.get("""strip_accents"""	,      __snake_case						) != strip_accents
							    or normalizer_state.get("""handle_chinese_chars"""	,      __snake_case						) != tokenize_chinese_chars
							):
												UpperCamelCase__				=    getattr(__snake_case	,      normalizer_state.pop("""type"""						)						)
												UpperCamelCase__				=    do_lower_case
												UpperCamelCase__				=    strip_accents
												UpperCamelCase__				=    tokenize_chinese_chars
												UpperCamelCase__				=    normalizer_class(**__snake_case						)

							UpperCamelCase__				=    do_lower_case







		def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_=None						):
							UpperCamelCase__				=    [self.cls_token_id] + token_ids_a + [self.sep_token_id]

							if token_ids_a:
												output += token_ids_a + [self.sep_token_id]

							return output







		def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_ = None						):
							UpperCamelCase__				=    [self.sep_token_id]
							UpperCamelCase__				=    [self.cls_token_id]
							if token_ids_a is None:
												return len(cls						) * [self.cls_token_type_id] + len(token_ids_a + sep						) * [0]
							return len(cls						) * [self.cls_token_type_id] + len(token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1]







		def 	UpperCAmelCase_ (self	,      SCREAMING_SNAKE_CASE_	,      SCREAMING_SNAKE_CASE_ = None						):
							UpperCamelCase__				=    self._tokenizer.model.save(__snake_case	,      name=__snake_case						)
							return tuple(__snake_case						)







import argparse
from collections import defaultdict

import yaml


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






def 						__magic_name__			(   __a      :	Union[str, Any]						):



     '''simple docstring'''




     UpperCamelCase__				=    defaultdict(__a						)
     for doc in model_doc:
          counts[doc["local"]] += 1
     UpperCamelCase__				=    [key for key, value in counts.items() if value > 1]

     UpperCamelCase__				=    []
     for duplicate_key in duplicates:
          UpperCamelCase__				=    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 						__magic_name__			(   __a      :	int=False						):



     '''simple docstring'''




     with open(__a	,		encoding="""utf-8"""						) as f:
          UpperCamelCase__				=    yaml.safe_load(f.read()						)

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

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

     UpperCamelCase__				=    api_doc[model_idx]["""sections"""]

     UpperCamelCase__				=    [(idx, section) for idx, section in enumerate(__a						) if """sections""" in section]
     UpperCamelCase__				=    False
     for idx, modality_doc in modalities_docs:
          UpperCamelCase__				=    modality_doc["""sections"""]
          UpperCamelCase__				=    clean_model_doc_toc(__a						)

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

     if diff:
          if overwrite:
               UpperCamelCase__				=    model_doc
               UpperCamelCase__				=    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__":
    lowerCamelCase_						     =					argparse.ArgumentParser()
    parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
    lowerCamelCase_						     =					parser.parse_args()

    check_model_doc(args.fix_and_overwrite)





