


'''simple docstring'''



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

__UpperCAmelCase      :str			    =       logging.get_logger(__name__)


__UpperCAmelCase      :int			    =       {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

__UpperCAmelCase      :List[str]			    =       {
    "vocab_file": {"facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json"},
    "merges_file": {"facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt"},
    "tokenizer_config_file": {
        "facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json"
    },
}

__UpperCAmelCase      :Optional[Any]			    =       {"facebook/blenderbot-3B": 1_2_8}




@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def      __lowercase     (						):





     '''simple docstring'''






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




def      __lowercase     (						_lowercase :     str  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Union[str, Any]  							=      set()
     __UpperCAmelCase     :			List[str]  							=      word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)  )
          __UpperCAmelCase     :			Tuple  							=      char
     return pairs



class      a    (		_a	):


     """simple docstring"""






     SCREAMING_SNAKE_CASE	:			Any							       =       VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE	:			List[str]							       =       PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE	:			Optional[int]							       =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     SCREAMING_SNAKE_CASE	:			List[Any]							       =       ["input_ids", "attention_mask"]

     def __init__(    self					:		str							,			snake_case					:		Dict							,			snake_case					:		str							,			snake_case					:		Optional[int]="replace"							,			snake_case					:		Tuple="<s>"							,			snake_case					:		Dict="</s>"							,			snake_case					:		Any="</s>"							,			snake_case					:		Any="<s>"							,			snake_case					:		List[Any]="<unk>"							,			snake_case					:		int="<pad>"							,			snake_case					:		List[Any]="<mask>"							,			snake_case					:		List[Any]=False							,			**snake_case					:		Any							,			)						->							Union[str, Any]:
          __UpperCAmelCase     :			List[str]  							=      AddedToken(snake_case							,			lstrip=snake_case							,			rstrip=snake_case      ) if isinstance(snake_case							,			snake_case      ) else bos_token
          __UpperCAmelCase     :			Union[str, Any]  							=      AddedToken(snake_case							,			lstrip=snake_case							,			rstrip=snake_case      ) if isinstance(snake_case							,			snake_case      ) else eos_token
          __UpperCAmelCase     :			str  							=      AddedToken(snake_case							,			lstrip=snake_case							,			rstrip=snake_case      ) if isinstance(snake_case							,			snake_case      ) else sep_token
          __UpperCAmelCase     :			Union[str, Any]  							=      AddedToken(snake_case							,			lstrip=snake_case							,			rstrip=snake_case      ) if isinstance(snake_case							,			snake_case      ) else cls_token
          __UpperCAmelCase     :			Tuple  							=      AddedToken(snake_case							,			lstrip=snake_case							,			rstrip=snake_case      ) if isinstance(snake_case							,			snake_case      ) else unk_token
          __UpperCAmelCase     :			Optional[int]  							=      AddedToken(snake_case							,			lstrip=snake_case							,			rstrip=snake_case      ) if isinstance(snake_case							,			snake_case      ) else pad_token

          # Mask token behave like a normal word, i.e. include the space before it
          __UpperCAmelCase     :			List[str]  							=      AddedToken(snake_case							,			lstrip=snake_case							,			rstrip=snake_case      ) if isinstance(snake_case							,			snake_case      ) else mask_token

          super().__init__(
              errors=snake_case							,			bos_token=snake_case							,			eos_token=snake_case							,			unk_token=snake_case							,			sep_token=snake_case							,			cls_token=snake_case							,			pad_token=snake_case							,			mask_token=snake_case							,			add_prefix_space=snake_case							,			**snake_case							,			)

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

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

     @property
     # Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
     def 			lowerCamelCase__			(    self					:		Tuple      )						->							List[str]:
          return len(self.encoder      )

     def 			lowerCamelCase__			(    self					:		Tuple      )						->							int:
          return dict(self.encoder							,			**self.added_tokens_encoder      )

     def 			lowerCamelCase__			(    self					:		List[str]							,			snake_case					:		Optional[Any]      )						->							int:
          if token in self.cache:
               return self.cache[token]
          __UpperCAmelCase     :			Optional[Any]  							=      tuple(snake_case      )
          __UpperCAmelCase     :			Optional[int]  							=      get_pairs(snake_case      )

          if not pairs:
               return token

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

                    if word[i] == first and i < len(snake_case      ) - 1 and word[i + 1] == second:
                         new_word.append(first + second      )
                         i += 2
                    else:
                         new_word.append(word[i]      )
                         i += 1
               __UpperCAmelCase     :			Union[str, Any]  							=      tuple(snake_case      )
               __UpperCAmelCase     :			Optional[Any]  							=      new_word
               if len(snake_case      ) == 1:
                    break
               else:
                    __UpperCAmelCase     :			Optional[int]  							=      get_pairs(snake_case      )
          __UpperCAmelCase     :			str  							=      ''' '''.join(snake_case      )
          __UpperCAmelCase     :			Optional[int]  							=      word
          return word

     def 			lowerCamelCase__			(    self					:		Tuple							,			snake_case					:		Optional[Any]      )						->							List[str]:
          __UpperCAmelCase     :			List[Any]  							=      []
          for token in re.findall(self.pat							,			snake_case      ):
               __UpperCAmelCase     :			List[Any]  							=      ''''''.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(snake_case      ).split(''' '''      )      )
          return bpe_tokens

     def 			lowerCamelCase__			(    self					:		Dict							,			snake_case					:		List[str]      )						->							Optional[int]:
          return self.encoder.get(snake_case							,			self.encoder.get(self.unk_token      )      )

     def 			lowerCamelCase__			(    self					:		Any							,			snake_case					:		int      )						->							Optional[int]:
          return self.decoder.get(snake_case      )

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

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

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

          __UpperCAmelCase     :			Optional[int]  							=      0
          with open(snake_case							,			'''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 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!'''      )
                         __UpperCAmelCase     :			Union[str, Any]  							=      token_index
                    writer.write(''' '''.join(snake_case      ) + '''\n'''      )
                    index += 1

          return vocab_file, merge_file

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

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

     def 			lowerCamelCase__			(    self					:		List[Any]							,			snake_case					:		List[int]							,			snake_case					:		Optional[List[int]] = None      )						->							List[int]:
          __UpperCAmelCase     :			List[str]  							=      [self.sep_token_id]
          __UpperCAmelCase     :			Optional[int]  							=      [self.cls_token_id]

          if token_ids_a is None:
               return len(cls + token_ids_a + sep      ) * [0]
          return len(cls + token_ids_a + sep + sep + token_ids_a + sep      ) * [0]

     def 			lowerCamelCase__			(    self					:		Union[str, Any]							,			snake_case					:		List[str]							,			snake_case					:		Dict=False							,			**snake_case					:		Union[str, Any]      )						->							List[str]:
          __UpperCAmelCase     :			Optional[int]  							=      kwargs.pop('''add_prefix_space'''							,			self.add_prefix_space      )
          if (is_split_into_words or add_prefix_space) and (len(snake_case      ) > 0 and not text[0].isspace()):
               __UpperCAmelCase     :			Tuple  							=      ''' ''' + text
          return (text, kwargs)

     def 			lowerCamelCase__			(    self					:		Tuple							,			snake_case					:		List[int]							,			snake_case					:		Optional[List[int]] = None      )						->							int:
          return token_ids_a + [self.eos_token_id]






     def 			lowerCamelCase__			(    self					:		Dict							,			snake_case					:		"Conversation"      )						->							List[int]:
          __UpperCAmelCase     :			List[str]  							=      []
          for is_user, text in conversation.iter_texts():
               if is_user:
                    # We need to space prefix as it's being done within blenderbot
                    inputs.append(''' ''' + text      )
               else:
                    # Generated responses should contain them already.
                    inputs.append(snake_case      )

          __UpperCAmelCase     :			List[str]  							=      '''  '''.join(snake_case      )
          __UpperCAmelCase     :			Tuple  							=      self.encode(snake_case      )
          if len(snake_case      ) > self.model_max_length:
               __UpperCAmelCase     :			List[str]  							=      input_ids[-self.model_max_length :]
               logger.warning(f'Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'      )
          return input_ids



'''simple docstring'''



from argparse import ArgumentParser

from .env import EnvironmentCommand




def      _a     (						):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[Any]  							=      ArgumentParser('''Diffusers CLI tool'''      , usage='''diffusers-cli <command> [<args>]'''  )
     __UpperCAmelCase     :			Union[str, Any]  							=      parser.add_subparsers(help='''diffusers-cli command helpers'''  )

     # Register commands
     EnvironmentCommand.register_subcommand(_lowercase  )

     # Let's go
     __UpperCAmelCase     :			Union[str, Any]  							=      parser.parse_args()

     if not hasattr(_lowercase      , '''func'''  ):
          parser.print_help()
          exit(1  )

     # Run
     __UpperCAmelCase     :			Any  							=      args.func(_lowercase  )
     service.run()


if __name__ == "__main__":
      main()