




import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCamelCase__					:  str      							=				logging.get_logger(__name__)

lowerCamelCase__					:  List[str]      							=				{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

lowerCamelCase__					:  Union[str, Any]      							=				{
    'vocab_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'},
    'merges_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'},
}

lowerCamelCase__					:  Dict      							=				{
    'ctrl': 256,
}

lowerCamelCase__					:  Tuple      							=				{
    'Pregnancy': 168_629,
    'Christianity': 7_675,
    'Explain': 106_423,
    'Fitness': 63_440,
    'Saving': 63_163,
    'Ask': 27_171,
    'Ass': 95_985,
    'Joke': 163_509,
    'Questions': 45_622,
    'Thoughts': 49_605,
    'Retail': 52_342,
    'Feminism': 164_338,
    'Writing': 11_992,
    'Atheism': 192_263,
    'Netflix': 48_616,
    'Computing': 39_639,
    'Opinion': 43_213,
    'Alone': 44_967,
    'Funny': 58_917,
    'Gaming': 40_358,
    'Human': 4_088,
    'India': 1_331,
    'Joker': 77_138,
    'Diet': 36_206,
    'Legal': 11_859,
    'Norman': 4_939,
    'Tip': 72_689,
    'Weight': 52_343,
    'Movies': 46_273,
    'Running': 23_425,
    'Science': 2_090,
    'Horror': 37_793,
    'Confession': 60_572,
    'Finance': 12_250,
    'Politics': 16_360,
    'Scary': 191_985,
    'Support': 12_654,
    'Technologies': 32_516,
    'Teenage': 66_160,
    'Event': 32_769,
    'Learned': 67_460,
    'Notion': 182_770,
    'Wikipedia': 37_583,
    'Books': 6_665,
    'Extract': 76_050,
    'Confessions': 102_701,
    'Conspiracy': 75_932,
    'Links': 63_674,
    'Narcissus': 150_425,
    'Relationship': 54_766,
    'Relationships': 134_796,
    'Reviews': 41_671,
    'News': 4_256,
    'Translation': 26_820,
    'multilingual': 128_406,
}

def    UpperCAmelCase_				( __UpperCAmelCase		:      int				)   ->					Tuple:
      SCREAMING_SNAKE_CASE_      		=     set()
      SCREAMING_SNAKE_CASE_      		=     word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)				)
            SCREAMING_SNAKE_CASE_      		=     char

      SCREAMING_SNAKE_CASE_      		=     set(__UpperCAmelCase				)
      return pairs





class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 lowercase_							       =       VOCAB_FILES_NAMES
 lowercase_							       =       PRETRAINED_VOCAB_FILES_MAP
 lowercase_							       =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_							       =       CONTROL_CODES



 def __init__(				self    :						str							,							_lowerCAmelCase    :						Any							,							_lowerCAmelCase    :						Optional[int]							,							_lowerCAmelCase    :						Optional[Any]="<unk>"							,							**_lowerCAmelCase    :						Union[str, Any]		):
       super().__init__(unk_token=_lowerCAmelCase							,							**_lowerCAmelCase		)

       with open(_lowerCAmelCase							,							encoding='utf-8'		) as vocab_handle:
             SCREAMING_SNAKE_CASE_      		=     json.load(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     {v: k for k, v in self.encoder.items()}
       with open(_lowerCAmelCase							,							encoding='utf-8'		) as merges_handle:
             SCREAMING_SNAKE_CASE_      		=     merges_handle.read().split('\n'		)[1:-1]
       SCREAMING_SNAKE_CASE_      		=     [tuple(merge.split()		) for merge in merges]
       SCREAMING_SNAKE_CASE_      		=     dict(zip(_lowerCAmelCase							,							range(len(_lowerCAmelCase		)		)		)		)
       SCREAMING_SNAKE_CASE_      		=     {}



 @property
 def  lowerCAmelCase_    (				self    :						str		):
       return len(self.encoder		)



 def  lowerCAmelCase_    (				self    :						int		):
       return dict(self.encoder							,							**self.added_tokens_encoder		)



 def  lowerCAmelCase_    (				self    :						Any							,							_lowerCAmelCase    :						Optional[Any]		):
       if token in self.cache:
             return self.cache[token]
       SCREAMING_SNAKE_CASE_      		=     tuple(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     tuple(list(word[:-1]		) + [word[-1] + '</w>']		)
       SCREAMING_SNAKE_CASE_      		=     get_pairs(_lowerCAmelCase		)

       if not pairs:
             return token

       while True:
             SCREAMING_SNAKE_CASE_      		=     min(_lowerCAmelCase							,							key=lambda _lowerCAmelCase		: self.bpe_ranks.get(_lowerCAmelCase							,							float('inf'		)		)		)
             if bigram not in self.bpe_ranks:
                   break
             SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     bigram
             SCREAMING_SNAKE_CASE_      		=     []
             SCREAMING_SNAKE_CASE_      		=     0
             while i < len(_lowerCAmelCase		):
                   try:
                         SCREAMING_SNAKE_CASE_      		=     word.index(_lowerCAmelCase							,							_lowerCAmelCase		)
                   except ValueError:
                         new_word.extend(word[i:]		)
                         break
                   else:
                         new_word.extend(word[i:j]		)
                         SCREAMING_SNAKE_CASE_      		=     j

                   if word[i] == first and i < len(_lowerCAmelCase		) - 1 and word[i + 1] == second:
                         new_word.append(first + second		)
                         i += 2
                   else:
                         new_word.append(word[i]		)
                         i += 1
             SCREAMING_SNAKE_CASE_      		=     tuple(_lowerCAmelCase		)
             SCREAMING_SNAKE_CASE_      		=     new_word
             if len(_lowerCAmelCase		) == 1:
                   break
             else:
                   SCREAMING_SNAKE_CASE_      		=     get_pairs(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     '@@ '.join(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     word[:-4]
       SCREAMING_SNAKE_CASE_      		=     word
       return word



 def  lowerCAmelCase_    (				self    :						str							,							_lowerCAmelCase    :						str		):
       SCREAMING_SNAKE_CASE_      		=     []

       SCREAMING_SNAKE_CASE_      		=     re.findall(R'\S+\n?'							,							_lowerCAmelCase		)

       for token in words:
             split_tokens.extend(list(self.bpe(_lowerCAmelCase		).split(' '		)		)		)
       return split_tokens



 def  lowerCAmelCase_    (				self    :						Any							,							_lowerCAmelCase    :						Optional[Any]		):
       return self.encoder.get(_lowerCAmelCase							,							self.encoder.get(self.unk_token		)		)



 def  lowerCAmelCase_    (				self    :						List[str]							,							_lowerCAmelCase    :						str		):
       return self.decoder.get(_lowerCAmelCase							,							self.unk_token		)



 def  lowerCAmelCase_    (				self    :						Union[str, Any]							,							_lowerCAmelCase    :						int		):
       SCREAMING_SNAKE_CASE_      		=     ' '.join(_lowerCAmelCase		).replace('@@ '							,							''		).strip()
       return out_string




 def  lowerCAmelCase_    (				self    :						Tuple							,							_lowerCAmelCase    :						str							,							_lowerCAmelCase    :						Optional[str] = None		):
       if not os.path.isdir(_lowerCAmelCase		):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"		)
             return
       SCREAMING_SNAKE_CASE_      		=     os.path.join(
           _lowerCAmelCase							,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
       SCREAMING_SNAKE_CASE_      		=     os.path.join(
           _lowerCAmelCase							,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']		)

       with open(_lowerCAmelCase							,							'w'							,							encoding='utf-8'		) as f:
             f.write(json.dumps(self.encoder							,							indent=2							,							sort_keys=_lowerCAmelCase							,							ensure_ascii=_lowerCAmelCase		) + '\n'		)

       SCREAMING_SNAKE_CASE_      		=     0
       with open(_lowerCAmelCase							,							'w'							,							encoding='utf-8'		) as writer:
             writer.write('#version: 0.2\n'		)
             for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							,							key=lambda _lowerCAmelCase		: kv[1]		):
                   if index != token_index:
                         logger.warning(
                             F"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                             ' Please check that the tokenizer is not corrupted!'		)
                         SCREAMING_SNAKE_CASE_      		=     token_index
                   writer.write(' '.join(_lowerCAmelCase		) + '\n'		)
                   index += 1

       return vocab_file, merge_file

 # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
 #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
 #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
 #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
 #     return ''.join(tokens_generated_so_far)





import warnings

from ...utils import logging
from .image_processing_mobilevit import MobileViTImageProcessor


lowerCamelCase__					:  Optional[int]      							=				logging.get_logger(__name__)





class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 def __init__(				self    :						str							,							*_lowerCAmelCase    :						Tuple							,							**_lowerCAmelCase    :						int		):
       warnings.warn(
           'The class MobileViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
           ' Please use MobileViTImageProcessor instead.'							,							_lowerCAmelCase							,							)
       super().__init__(*_lowerCAmelCase							,							**_lowerCAmelCase		)