'''simple docstring'''





import json
import os
from typing import Optional, Tuple

import regex as re

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


UpperCAmelCase_			    =							logging.get_logger(__name__)

UpperCAmelCase_			    =							{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

UpperCAmelCase_			    =							{
    """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"""},
}

UpperCAmelCase_			    =							{
    """ctrl""": 2_5_6,
}

UpperCAmelCase_			    =							{
    """Pregnancy""": 1_6_8_6_2_9,
    """Christianity""": 7_6_7_5,
    """Explain""": 1_0_6_4_2_3,
    """Fitness""": 6_3_4_4_0,
    """Saving""": 6_3_1_6_3,
    """Ask""": 2_7_1_7_1,
    """Ass""": 9_5_9_8_5,
    """Joke""": 1_6_3_5_0_9,
    """Questions""": 4_5_6_2_2,
    """Thoughts""": 4_9_6_0_5,
    """Retail""": 5_2_3_4_2,
    """Feminism""": 1_6_4_3_3_8,
    """Writing""": 1_1_9_9_2,
    """Atheism""": 1_9_2_2_6_3,
    """Netflix""": 4_8_6_1_6,
    """Computing""": 3_9_6_3_9,
    """Opinion""": 4_3_2_1_3,
    """Alone""": 4_4_9_6_7,
    """Funny""": 5_8_9_1_7,
    """Gaming""": 4_0_3_5_8,
    """Human""": 4_0_8_8,
    """India""": 1_3_3_1,
    """Joker""": 7_7_1_3_8,
    """Diet""": 3_6_2_0_6,
    """Legal""": 1_1_8_5_9,
    """Norman""": 4_9_3_9,
    """Tip""": 7_2_6_8_9,
    """Weight""": 5_2_3_4_3,
    """Movies""": 4_6_2_7_3,
    """Running""": 2_3_4_2_5,
    """Science""": 2_0_9_0,
    """Horror""": 3_7_7_9_3,
    """Confession""": 6_0_5_7_2,
    """Finance""": 1_2_2_5_0,
    """Politics""": 1_6_3_6_0,
    """Scary""": 1_9_1_9_8_5,
    """Support""": 1_2_6_5_4,
    """Technologies""": 3_2_5_1_6,
    """Teenage""": 6_6_1_6_0,
    """Event""": 3_2_7_6_9,
    """Learned""": 6_7_4_6_0,
    """Notion""": 1_8_2_7_7_0,
    """Wikipedia""": 3_7_5_8_3,
    """Books""": 6_6_6_5,
    """Extract""": 7_6_0_5_0,
    """Confessions""": 1_0_2_7_0_1,
    """Conspiracy""": 7_5_9_3_2,
    """Links""": 6_3_6_7_4,
    """Narcissus""": 1_5_0_4_2_5,
    """Relationship""": 5_4_7_6_6,
    """Relationships""": 1_3_4_7_9_6,
    """Reviews""": 4_1_6_7_1,
    """News""": 4_2_5_6,
    """Translation""": 2_6_8_2_0,
    """multilingual""": 1_2_8_4_0_6,
}




def       lowerCAmelCase_     (		lowercase:							List[str]		)    ->				List[Any]:







 '''simple docstring'''
 _UpperCamelCase:     List[str]							= set()
 _UpperCamelCase:     List[Any]							= word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)		)
  _UpperCamelCase:     List[str]							= char

 _UpperCamelCase:     Optional[int]							= set(snake_case_		)
 return pairs





class  __magic_name__  (		UpperCamelCase_    ):





   """simple docstring"""




   lowerCAmelCase      :    Optional[Any]  			=   VOCAB_FILES_NAMES
   lowerCAmelCase      :    Union[str, Any]  			=   PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase      :    Any  			=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCAmelCase      :    str  			=   CONTROL_CODES



   def __init__(	self					:  str		,  _lowercase					:  Optional[int]		,  _lowercase					:  Tuple		,  _lowercase					:  Dict="<unk>"		,  **_lowercase					:  int							):



    """simple docstring"""



    super().__init__(unk_token=__A		,  **__A							)

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



   @property
   def   lowerCAmelCase						(	self					:  int							):



    """simple docstring"""



    return len(self.encoder							)



   def   lowerCAmelCase						(	self					:  Optional[Any]							):



    """simple docstring"""



    return dict(self.encoder		,  **self.added_tokens_encoder							)



   def   lowerCAmelCase						(	self					:  str		,  _lowercase					:  str							):



    """simple docstring"""



    if token in self.cache:
     return self.cache[token]
    _UpperCamelCase:     Optional[Any]							= tuple(__A							)
    _UpperCamelCase:     List[Any]							= tuple(list(word[:-1]							) + [word[-1] + '''</w>''']							)
    _UpperCamelCase:     str							= get_pairs(__A							)

    if not pairs:
     return token

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

      if word[i] == first and i < len(__A							) - 1 and word[i + 1] == second:
       new_word.append(first + second							)
       i += 2
      else:
       new_word.append(word[i]							)
       i += 1
     _UpperCamelCase:     Any							= tuple(__A							)
     _UpperCamelCase:     Union[str, Any]							= new_word
     if len(__A							) == 1:
      break
     else:
      _UpperCamelCase:     int							= get_pairs(__A							)
    _UpperCamelCase:     List[str]							= "@@ ".join(__A							)
    _UpperCamelCase:     Tuple							= word[:-4]
    _UpperCamelCase:     Union[str, Any]							= word
    return word



   def   lowerCAmelCase						(	self					:  int		,  _lowercase					:  Optional[int]							):



    """simple docstring"""



    _UpperCamelCase:     Optional[int]							= []

    _UpperCamelCase:     Optional[int]							= re.findall(R'''\S+\n?'''		,  __A							)

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



   def   lowerCAmelCase						(	self					:  List[Any]		,  _lowercase					:  Dict							):



    """simple docstring"""



    return self.encoder.get(__A		,  self.encoder.get(self.unk_token							)							)



   def   lowerCAmelCase						(	self					:  Optional[int]		,  _lowercase					:  Union[str, Any]							):



    """simple docstring"""



    return self.decoder.get(__A		,  self.unk_token							)



   def   lowerCAmelCase						(	self					:  Optional[Any]		,  _lowercase					:  Optional[int]							):



    """simple docstring"""



    _UpperCamelCase:     int							= " ".join(__A							).replace('''@@ '''		,  ''''''							).strip()
    return out_string



   def   lowerCAmelCase						(	self					:  Tuple		,  _lowercase					:  str		,  _lowercase					:  Optional[str] = None							):



    """simple docstring"""



    if not os.path.isdir(__A							):
     logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
     return
    _UpperCamelCase:     Any							= os.path.join(
        __A		,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)
    _UpperCamelCase:     Any							= os.path.join(
        __A		,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']							)

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

    _UpperCamelCase:     str							= 0
    with open(__A		,  '''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 _lowercase							: 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!'''							)
       _UpperCamelCase:     Tuple							= token_index
      writer.write(''' '''.join(__A							) + '''\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 ..trainer import Trainer
from ..utils import logging


UpperCAmelCase_			    =							logging.get_logger(__name__)




class  __magic_name__  (		__a    ):





   """simple docstring"""




   def __init__(	self					:  List[Any]		,  _lowercase					:  int=None		,  **_lowercase					:  Optional[Any]							):



    """simple docstring"""



    warnings.warn(
        '''`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` '''
        '''instead.'''		,  _lowercase		,  )
    super().__init__(args=_lowercase		,  **_lowercase							)