




import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation

__SCREAMING_SNAKE_CASE			:      Dict      			=logging.get_logger(__name__)

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

__SCREAMING_SNAKE_CASE			:      str      			={
    """vocab_file""": {
        """gpt2""": """https://huggingface.co/gpt2/resolve/main/vocab.json""",
        """gpt2-medium""": """https://huggingface.co/gpt2-medium/resolve/main/vocab.json""",
        """gpt2-large""": """https://huggingface.co/gpt2-large/resolve/main/vocab.json""",
        """gpt2-xl""": """https://huggingface.co/gpt2-xl/resolve/main/vocab.json""",
        """distilgpt2""": """https://huggingface.co/distilgpt2/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """gpt2""": """https://huggingface.co/gpt2/resolve/main/merges.txt""",
        """gpt2-medium""": """https://huggingface.co/gpt2-medium/resolve/main/merges.txt""",
        """gpt2-large""": """https://huggingface.co/gpt2-large/resolve/main/merges.txt""",
        """gpt2-xl""": """https://huggingface.co/gpt2-xl/resolve/main/merges.txt""",
        """distilgpt2""": """https://huggingface.co/distilgpt2/resolve/main/merges.txt""",
    },
}

__SCREAMING_SNAKE_CASE			:      str      			={
    """gpt2""": 1_024,
    """gpt2-medium""": 1_024,
    """gpt2-large""": 1_024,
    """gpt2-xl""": 1_024,
    """distilgpt2""": 1_024,
}

@lru_cache()
def 	lowerCAmelCase_	(     )    ->	Dict:


      '''simple docstring'''




      lowerCamelCase__					     = (
          list(range(ord('!'  )   , ord('~'  ) + 1  )  ) + list(range(ord('¡'  )   , ord('¬'  ) + 1  )  ) + list(range(ord('®'  )   , ord('ÿ'  ) + 1  )  )
      )
      lowerCamelCase__					     = bs[:]
      lowerCamelCase__					     = 0
      for b in range(2**8  ):
            if b not in bs:
                  bs.append(lowerCamelCase  )
                  cs.append(2**8 + n  )
                  n += 1
      lowerCamelCase__					     = [chr(lowerCamelCase  ) for n in cs]
      return dict(zip(lowerCamelCase   , lowerCamelCase  )  )

def 	lowerCAmelCase_	(     lowerCamelCase:				Optional[Any]  )    ->	int:


      '''simple docstring'''




      lowerCamelCase__					     = set()
      lowerCamelCase__					     = word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)  )
            lowerCamelCase__					     = char
      return pairs






class 	A	(						_lowerCAmelCase						):
     """simple docstring"""

     _snake_case:		Dict   =VOCAB_FILES_NAMES
     _snake_case:		Dict   =PRETRAINED_VOCAB_FILES_MAP
     _snake_case:		Tuple   =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _snake_case:		Tuple   =["input_ids", "attention_mask"]




     def __init__(			self     :      Any		,     A__     :      Tuple		,     A__     :      Optional[Any]		,     A__     :      int="replace"		,     A__     :      str="<|endoftext|>"		,     A__     :      Any="<|endoftext|>"		,     A__     :      Any="<|endoftext|>"		,     A__     :      Tuple=None		,     A__     :      Tuple=False		,     A__     :      Tuple=False		,     **A__     :      Tuple		,     ) ->				Dict:
           lowerCamelCase__					     = AddedToken(A__		,     lstrip=A__		,     rstrip=A__	) if isinstance(A__		,     A__	) else bos_token
           lowerCamelCase__					     = AddedToken(A__		,     lstrip=A__		,     rstrip=A__	) if isinstance(A__		,     A__	) else eos_token
           lowerCamelCase__					     = AddedToken(A__		,     lstrip=A__		,     rstrip=A__	) if isinstance(A__		,     A__	) else unk_token
           lowerCamelCase__					     = AddedToken(A__		,     lstrip=A__		,     rstrip=A__	) if isinstance(A__		,     A__	) else pad_token
           super().__init__(
               errors=A__		,     unk_token=A__		,     bos_token=A__		,     eos_token=A__		,     pad_token=A__		,     add_prefix_space=A__		,     add_bos_token=A__		,     **A__		,     )
           lowerCamelCase__					     = add_bos_token

           with open(A__		,     encoding='utf-8'	) as vocab_handle:
                 lowerCamelCase__					     = json.load(A__	)
           lowerCamelCase__					     = {v: k for k, v in self.encoder.items()}
           lowerCamelCase__					     = errors  # how to handle errors in decoding
           lowerCamelCase__					     = bytes_to_unicode()
           lowerCamelCase__					     = {v: k for k, v in self.byte_encoder.items()}
           with open(A__		,     encoding='utf-8'	) as merges_handle:
                 lowerCamelCase__					     = merges_handle.read().split('\n'	)[1:-1]
           lowerCamelCase__					     = [tuple(merge.split()	) for merge in bpe_merges]
           lowerCamelCase__					     = dict(zip(A__		,     range(len(A__	)	)	)	)
           lowerCamelCase__					     = {}
           lowerCamelCase__					     = add_prefix_space

           # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
           lowerCamelCase__					     = re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'	)




     @property
     def        __snake_case      (			self     :      List[str]	) ->				Optional[Any]:
           return len(self.encoder	)




     def        __snake_case      (			self     :      Tuple	) ->				Any:
           return dict(self.encoder		,     **self.added_tokens_encoder	)




     def        __snake_case      (			self     :      List[str]		,     A__     :      Tuple	) ->				Union[str, Any]:
           if token in self.cache:
                 return self.cache[token]
           lowerCamelCase__					     = tuple(A__	)
           lowerCamelCase__					     = get_pairs(A__	)

           if not pairs:
                 return token

           while True:
                 lowerCamelCase__					     = min(A__		,     key=lambda A__	: self.bpe_ranks.get(A__		,     float('inf'	)	)	)
                 if bigram not in self.bpe_ranks:
                       break
                 lowerCamelCase__     ,						lowerCamelCase__					     = bigram
                 lowerCamelCase__					     = []
                 lowerCamelCase__					     = 0
                 while i < len(A__	):
                       try:
                             lowerCamelCase__					     = word.index(A__		,     A__	)
                       except ValueError:
                             new_word.extend(word[i:]	)
                             break
                       else:
                             new_word.extend(word[i:j]	)
                             lowerCamelCase__					     = 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
                 lowerCamelCase__					     = tuple(A__	)
                 lowerCamelCase__					     = new_word
                 if len(A__	) == 1:
                       break
                 else:
                       lowerCamelCase__					     = get_pairs(A__	)
           lowerCamelCase__					     = ' '.join(A__	)
           lowerCamelCase__					     = word
           return word




     def        __snake_case      (			self     :      int		,     A__     :      Any		,     A__     :      str=None	) ->				List[Any]:
           if self.add_bos_token:
                 lowerCamelCase__					     = [self.bos_token_id]
           else:
                 lowerCamelCase__					     = []

           lowerCamelCase__					     = bos_token_ids + token_ids_a

           if token_ids_a is None:
                 return output

           return output + bos_token_ids + token_ids_a




     def        __snake_case      (			self     :      Optional[int]		,     A__     :      List[int]		,     A__     :      Optional[List[int]] = None		,     A__     :      bool = False	) ->				List[int]:
           if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=A__		,     token_ids_a=A__		,     already_has_special_tokens=A__	)

           if not self.add_bos_token:
                 return super().get_special_tokens_mask(
                     token_ids_a=A__		,     token_ids_a=A__		,     already_has_special_tokens=A__	)

           if token_ids_a is None:
                 return [1] + ([0] * len(A__	))
           return [1] + ([0] * len(A__	)) + [1] + ([0] * len(A__	))




     def        __snake_case      (			self     :      List[Any]		,     A__     :      str	) ->				Tuple:
           lowerCamelCase__					     = []
           for token in re.findall(self.pat		,     A__	):
                 lowerCamelCase__					     = ''.join(
                     self.byte_encoder[b] for b in token.encode('utf-8'	)	)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
                 bpe_tokens.extend(bpe_token for bpe_token in self.bpe(A__	).split(' '	)	)
           return bpe_tokens




     def        __snake_case      (			self     :      Any		,     A__     :      str	) ->				Optional[Any]:
           return self.encoder.get(A__		,     self.encoder.get(self.unk_token	)	)




     def        __snake_case      (			self     :      str		,     A__     :      Optional[int]	) ->				Optional[Any]:
           return self.decoder.get(A__	)




     def        __snake_case      (			self     :      Tuple		,     A__     :      Optional[int]	) ->				Optional[Any]:
           lowerCamelCase__					     = ''.join(A__	)
           lowerCamelCase__					     = bytearray([self.byte_decoder[c] for c in text]	).decode('utf-8'		,     errors=self.errors	)
           return text




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

           lowerCamelCase__					     = 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 A__	: 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!'	)
                             lowerCamelCase__					     = token_index
                       writer.write(' '.join(A__	) + '\n'	)
                       index += 1

           return vocab_file, merge_file




     def        __snake_case      (			self     :      Tuple		,     A__     :      Tuple		,     A__     :      Optional[int]=False		,     **A__     :      Optional[Any]	) ->				List[Any]:
           lowerCamelCase__					     = kwargs.pop('add_prefix_space'		,     self.add_prefix_space	)
           if is_split_into_words or add_prefix_space:
                 lowerCamelCase__					     = ' ' + text
           return (text, kwargs)




     def        __snake_case      (			self     :      List[str]		,     A__     :      "Conversation"	) ->				List[int]:
           lowerCamelCase__					     = []
           for is_user, text in conversation.iter_texts():
                 input_ids.extend(self.encode(A__		,     add_special_tokens=A__	) + [self.eos_token_id]	)
           if len(A__	) > self.model_max_length:
                 lowerCamelCase__					     = input_ids[-self.model_max_length :]
           return input_ids

"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


__A       						=       {'configuration_bert_generation': ['BertGenerationConfig']}

try:
			if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__A       						=       ['BertGenerationTokenizer']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__A       						=       [
			    'BertGenerationDecoder',
			    'BertGenerationEncoder',
			    'BertGenerationPreTrainedModel',
			    'load_tf_weights_in_bert_generation',
			]


if TYPE_CHECKING:
			from .configuration_bert_generation import BertGenerationConfig

			try:
						if not is_sentencepiece_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_bert_generation import BertGenerationTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_bert_generation import (
						    BertGenerationDecoder,
						    BertGenerationEncoder,
						    BertGenerationPreTrainedModel,
						    load_tf_weights_in_bert_generation,
						)

else:
			import sys

			__A       						=       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



