

'''simple docstring'''

import json
import os
from typing import Optional, Tuple

import regex as re

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


A_							    =				logging.get_logger(__name__)

A_							    =				{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

A_							    =				{
    '''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'''},
}

A_							    =				{
    '''ctrl''': 2_56,
}

A_							    =				{
    '''Pregnancy''': 16_86_29,
    '''Christianity''': 76_75,
    '''Explain''': 10_64_23,
    '''Fitness''': 6_34_40,
    '''Saving''': 6_31_63,
    '''Ask''': 2_71_71,
    '''Ass''': 9_59_85,
    '''Joke''': 16_35_09,
    '''Questions''': 4_56_22,
    '''Thoughts''': 4_96_05,
    '''Retail''': 5_23_42,
    '''Feminism''': 16_43_38,
    '''Writing''': 1_19_92,
    '''Atheism''': 19_22_63,
    '''Netflix''': 4_86_16,
    '''Computing''': 3_96_39,
    '''Opinion''': 4_32_13,
    '''Alone''': 4_49_67,
    '''Funny''': 5_89_17,
    '''Gaming''': 4_03_58,
    '''Human''': 40_88,
    '''India''': 13_31,
    '''Joker''': 7_71_38,
    '''Diet''': 3_62_06,
    '''Legal''': 1_18_59,
    '''Norman''': 49_39,
    '''Tip''': 7_26_89,
    '''Weight''': 5_23_43,
    '''Movies''': 4_62_73,
    '''Running''': 2_34_25,
    '''Science''': 20_90,
    '''Horror''': 3_77_93,
    '''Confession''': 6_05_72,
    '''Finance''': 1_22_50,
    '''Politics''': 1_63_60,
    '''Scary''': 19_19_85,
    '''Support''': 1_26_54,
    '''Technologies''': 3_25_16,
    '''Teenage''': 6_61_60,
    '''Event''': 3_27_69,
    '''Learned''': 6_74_60,
    '''Notion''': 18_27_70,
    '''Wikipedia''': 3_75_83,
    '''Books''': 66_65,
    '''Extract''': 7_60_50,
    '''Confessions''': 10_27_01,
    '''Conspiracy''': 7_59_32,
    '''Links''': 6_36_74,
    '''Narcissus''': 15_04_25,
    '''Relationship''': 5_47_66,
    '''Relationships''': 13_47_96,
    '''Reviews''': 4_16_71,
    '''News''': 42_56,
    '''Translation''': 2_68_20,
    '''multilingual''': 12_84_06,
}





def  A_	(			snake_case			):
  SCREAMING_SNAKE_CASE:List[str]       =       set()
  SCREAMING_SNAKE_CASE:Dict       =       word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)			)
    SCREAMING_SNAKE_CASE:List[Any]       =       char

  SCREAMING_SNAKE_CASE:int       =       set(snake_case			)
  return pairs





class 				_snake_case			(							_a    ):
   _A							:  Optional[int]      =       VOCAB_FILES_NAMES
   _A							:  Any      =       PRETRAINED_VOCAB_FILES_MAP
   _A							:  List[Any]      =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _A							:  List[Any]      =       CONTROL_CODES
   def __init__(			self      :   Tuple  ,SCREAMING_SNAKE_CASE__      :   List[Any]  ,SCREAMING_SNAKE_CASE__      :   List[Any]  ,SCREAMING_SNAKE_CASE__      :   Tuple="<unk>"  ,**SCREAMING_SNAKE_CASE__      :   Union[str, Any]				):
     super().__init__(unk_token=lowercase__  ,**lowercase__				)

     with open(lowercase__  ,encoding="utf-8"				) as vocab_handle:
       SCREAMING_SNAKE_CASE:Any       =       json.load(lowercase__				)
     SCREAMING_SNAKE_CASE:List[Any]       =       {v: k for k, v in self.encoder.items()}
     with open(lowercase__  ,encoding="utf-8"				) as merges_handle:
       SCREAMING_SNAKE_CASE:List[Any]       =       merges_handle.read().split("\n"				)[1:-1]
     SCREAMING_SNAKE_CASE:Union[str, Any]       =       [tuple(merge.split()				) for merge in merges]
     SCREAMING_SNAKE_CASE:List[Any]       =       dict(zip(lowercase__  ,range(len(lowercase__				)				)				)				)
     SCREAMING_SNAKE_CASE:List[Any]       =       {}
   @property
   def      __UpperCamelCase    (			self      :   int				):
     return len(self.encoder				)
   def      __UpperCamelCase    (			self      :   str				):
     return dict(self.encoder  ,**self.added_tokens_encoder				)
   def      __UpperCamelCase    (			self      :   Dict  ,SCREAMING_SNAKE_CASE__      :   str				):
     if token in self.cache:
       return self.cache[token]
     SCREAMING_SNAKE_CASE:Any       =       tuple(lowercase__				)
     SCREAMING_SNAKE_CASE:Optional[int]       =       tuple(list(word[:-1]				) + [word[-1] + "</w>"]				)
     SCREAMING_SNAKE_CASE:int       =       get_pairs(lowercase__				)

     if not pairs:
       return token

     while True:
       SCREAMING_SNAKE_CASE:str       =       min(lowercase__  ,key=lambda SCREAMING_SNAKE_CASE__				: self.bpe_ranks.get(lowercase__  ,float("inf"				)				)				)
       if bigram not in self.bpe_ranks:
         break
       SCREAMING_SNAKE_CASE   ,     SCREAMING_SNAKE_CASE:Union[str, Any]       =       bigram
       SCREAMING_SNAKE_CASE:Dict       =       []
       SCREAMING_SNAKE_CASE:List[str]       =       0
       while i < len(lowercase__				):
         try:
           SCREAMING_SNAKE_CASE:List[Any]       =       word.index(lowercase__  ,lowercase__				)
         except ValueError:
           new_word.extend(word[i:]				)
           break
         else:
           new_word.extend(word[i:j]				)
           SCREAMING_SNAKE_CASE:List[str]       =       j

         if word[i] == first and i < len(lowercase__				) - 1 and word[i + 1] == second:
           new_word.append(first + second				)
           i += 2
         else:
           new_word.append(word[i]				)
           i += 1
       SCREAMING_SNAKE_CASE:List[Any]       =       tuple(lowercase__				)
       SCREAMING_SNAKE_CASE:List[str]       =       new_word
       if len(lowercase__				) == 1:
         break
       else:
         SCREAMING_SNAKE_CASE:Dict       =       get_pairs(lowercase__				)
     SCREAMING_SNAKE_CASE:List[Any]       =       "@@ ".join(lowercase__				)
     SCREAMING_SNAKE_CASE:Tuple       =       word[:-4]
     SCREAMING_SNAKE_CASE:List[str]       =       word
     return word
   def      __UpperCamelCase    (			self      :   Optional[int]  ,SCREAMING_SNAKE_CASE__      :   Union[str, Any]				):
     SCREAMING_SNAKE_CASE:Union[str, Any]       =       []

     SCREAMING_SNAKE_CASE:Any       =       re.findall(R"\S+\n?"  ,lowercase__				)

     for token in words:
       split_tokens.extend(list(self.bpe(lowercase__				).split(" "				)				)				)
     return split_tokens
   def      __UpperCamelCase    (			self      :   Union[str, Any]  ,SCREAMING_SNAKE_CASE__      :   int				):
     return self.encoder.get(lowercase__  ,self.encoder.get(self.unk_token				)				)
   def      __UpperCamelCase    (			self      :   Tuple  ,SCREAMING_SNAKE_CASE__      :   Union[str, Any]				):
     return self.decoder.get(lowercase__  ,self.unk_token				)
   def      __UpperCamelCase    (			self      :   List[str]  ,SCREAMING_SNAKE_CASE__      :   List[str]				):
     SCREAMING_SNAKE_CASE:Optional[int]       =       " ".join(lowercase__				).replace("@@ "  ,""				).strip()
     return out_string







   def      __UpperCamelCase    (			self      :   List[str]  ,SCREAMING_SNAKE_CASE__      :   str  ,SCREAMING_SNAKE_CASE__      :   Optional[str] = None				):
     if not os.path.isdir(lowercase__				):
       logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''				)
       return
     SCREAMING_SNAKE_CASE:int       =       os.path.join(
         lowercase__  ,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]				)
     SCREAMING_SNAKE_CASE:Any       =       os.path.join(
         lowercase__  ,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]				)

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

     SCREAMING_SNAKE_CASE:Union[str, Any]       =       0
     with open(lowercase__  ,"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 SCREAMING_SNAKE_CASE__				: 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:Union[str, Any]       =       token_index
         writer.write(" ".join(lowercase__				) + "\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)







from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowercase:	List[Any]       			=		logging.get_logger(__name__)

_lowercase:	int       			=		{
    '''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json''',
}



class        lowerCamelCase__				(   UpperCAmelCase				):
			UpperCamelCase__    							="mgp-str"





			def __init__(       self	:	int  ,  lowercase__	:	List[Any]=[32, 1_28]  ,  lowercase__	:	str=4  ,  lowercase__	:	List[str]=3  ,  lowercase__	:	Tuple=27  ,  lowercase__	:	Optional[Any]=38  ,  lowercase__	:	Optional[Any]=5_02_57  ,  lowercase__	:	Dict=3_05_22  ,  lowercase__	:	Dict=7_68  ,  lowercase__	:	Tuple=12  ,  lowercase__	:	int=12  ,  lowercase__	:	int=4.0  ,  lowercase__	:	Tuple=True  ,  lowercase__	:	List[Any]=False  ,  lowercase__	:	int=1e-5  ,  lowercase__	:	int=0.0  ,  lowercase__	:	Optional[Any]=0.0  ,  lowercase__	:	List[Any]=0.0  ,  lowercase__	:	Union[str, Any]=False  ,  lowercase__	:	str=0.0_2  ,  **lowercase__	:	Optional[int]  ,  ):
										super().__init__(**lowercase__						)

										_lowerCAmelCase							=							image_size
										_lowerCAmelCase							=							patch_size
										_lowerCAmelCase							=							num_channels
										_lowerCAmelCase							=							max_token_length
										_lowerCAmelCase							=							num_character_labels
										_lowerCAmelCase							=							num_bpe_labels
										_lowerCAmelCase							=							num_wordpiece_labels
										_lowerCAmelCase							=							hidden_size
										_lowerCAmelCase							=							num_hidden_layers
										_lowerCAmelCase							=							num_attention_heads
										_lowerCAmelCase							=							mlp_ratio
										_lowerCAmelCase							=							distilled
										_lowerCAmelCase							=							layer_norm_eps
										_lowerCAmelCase							=							drop_rate
										_lowerCAmelCase							=							qkv_bias
										_lowerCAmelCase							=							attn_drop_rate
										_lowerCAmelCase							=							drop_path_rate
										_lowerCAmelCase							=							output_aa_attentions
										_lowerCAmelCase							=							initializer_range






