code: 
  
  
  '''simple docstring'''
  
  import json
  import os
  from functools import lru_cache
  from typing import TYPE_CHECKING, List, Optional, Tuple, Union
  
  import numpy as np
  import regex as re
  
  from ...utils import is_tf_available, is_torch_available, logging
  
  
  if TYPE_CHECKING:
   if is_torch_available():
    import torch
   if is_tf_available():
    import tensorflow as tf
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  
  
  lowerCamelCase							:     Union[str, Any]								=			logging.get_logger(__name__)
  
  lowerCamelCase							:     Tuple								=			{
      'vocab_file': 'vocab.json',
      'merges_file': 'merges.txt',
  }
  
  lowerCamelCase							:     Tuple								=			{
      'vocab_file': {
          'Salesforce/codegen-350M-mono': 'https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json',
      },
      'merges_file': {
          'Salesforce/codegen-350M-mono': 'https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt',
      },
  }
  
  lowerCamelCase							:     Optional[int]								=			{
      'Salesforce/codegen-350M-mono': 2_048,
  }
  
  @lru_cache()
  def _SCREAMING_SNAKE_CASE   () -> Optional[int]:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         lowercase__       =				(
             list(range(ord('''!''' )						,				ord('''~''' ) + 1 ) ) + list(range(ord('''¡''' )						,				ord('''¬''' ) + 1 ) ) + list(range(ord('''®''' )						,				ord('''ÿ''' ) + 1 ) )
         )
         lowercase__       =				bs[:]
         lowercase__       =				0
         for b in range(2**8 ):
                if b not in bs:
                       bs.append(A )
                       cs.append(2**8 + n )
                       n += 1
         lowercase__       =				[chr(A ) for n in cs]
         return dict(zip(A						,				A ) )
  
  def _SCREAMING_SNAKE_CASE   (A ) -> Tuple:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         lowercase__       =				set()
         lowercase__       =				word[0]
         for char in word[1:]:
                pairs.add((prev_char, char) )
                lowercase__       =				char
         return pairs
  
  class 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        lowerCAmelCase__      :  int						      =							VOCAB_FILES_NAMES
        lowerCAmelCase__      :  Union[str, Any]						      =							PRETRAINED_VOCAB_FILES_MAP
        lowerCAmelCase__      :  Optional[int]						      =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
        lowerCAmelCase__      :  Tuple						      =							["""input_ids""", """attention_mask"""]
  
  
  
        def __init__(self					:					List[Any]     ,		UpperCamelCase					:					List[str]     ,		UpperCamelCase					:					List[Any]     ,		UpperCamelCase					:					Optional[int]="replace"     ,		UpperCamelCase					:					Optional[Any]="<|endoftext|>"     ,		UpperCamelCase					:					str="<|endoftext|>"     ,		UpperCamelCase					:					Optional[int]="<|endoftext|>"     ,		UpperCamelCase					:					Optional[int]=None     ,		UpperCamelCase					:					str=False     ,		UpperCamelCase					:					Any=False     ,		**UpperCamelCase					:					Dict     ,		):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				AddedToken(UpperCamelCase     ,		lstrip=UpperCamelCase     ,		rstrip=UpperCamelCase				) if isinstance(UpperCamelCase     ,		UpperCamelCase				) else bos_token
               lowercase__       =				AddedToken(UpperCamelCase     ,		lstrip=UpperCamelCase     ,		rstrip=UpperCamelCase				) if isinstance(UpperCamelCase     ,		UpperCamelCase				) else eos_token
               lowercase__       =				AddedToken(UpperCamelCase     ,		lstrip=UpperCamelCase     ,		rstrip=UpperCamelCase				) if isinstance(UpperCamelCase     ,		UpperCamelCase				) else unk_token
               lowercase__       =				AddedToken(UpperCamelCase     ,		lstrip=UpperCamelCase     ,		rstrip=UpperCamelCase				) if isinstance(UpperCamelCase     ,		UpperCamelCase				) else pad_token
               super().__init__(
                   errors=UpperCamelCase     ,		unk_token=UpperCamelCase     ,		bos_token=UpperCamelCase     ,		eos_token=UpperCamelCase     ,		pad_token=UpperCamelCase     ,		add_prefix_space=UpperCamelCase     ,		add_bos_token=UpperCamelCase     ,		**UpperCamelCase     ,		)
               lowercase__       =				add_bos_token
  
               with open(UpperCamelCase     ,		encoding='''utf-8'''				) as vocab_handle:
                      lowercase__       =				json.load(UpperCamelCase				)
               lowercase__       =				{v: k for k, v in self.encoder.items()}
               lowercase__       =				errors  # how to handle errors in decoding
               lowercase__       =				bytes_to_unicode()
               lowercase__       =				{v: k for k, v in self.byte_encoder.items()}
               with open(UpperCamelCase     ,		encoding='''utf-8'''				) as merges_handle:
                      lowercase__       =				merges_handle.read().split('''\n'''				)[1:-1]
               lowercase__       =				[tuple(merge.split()				) for merge in bpe_merges]
               lowercase__       =				dict(zip(UpperCamelCase     ,		range(len(UpperCamelCase				)				)				)				)
               lowercase__       =				{}
               lowercase__       =				add_prefix_space
  
               # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
               lowercase__       =				re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''				)
  
  
  
        @property
        def    UpperCamelCase__	(self					:					Any				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               return len(self.encoder				)
  
  
  
        def    UpperCamelCase__	(self					:					Optional[Any]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               return dict(self.encoder     ,		**self.added_tokens_encoder				)
  
  
  
        def    UpperCamelCase__	(self					:					Union[str, Any]     ,		UpperCamelCase					:					Optional[int]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               if token in self.cache:
                      return self.cache[token]
               lowercase__       =				tuple(UpperCamelCase				)
               lowercase__       =				get_pairs(UpperCamelCase				)
  
               if not pairs:
                      return token
  
               while True:
                      lowercase__       =				min(UpperCamelCase     ,		key=lambda UpperCamelCase				: self.bpe_ranks.get(UpperCamelCase     ,		float('''inf'''				)				)				)
                      if bigram not in self.bpe_ranks:
                             break
                      lowercase__    ,lowercase__       =				bigram
                      lowercase__       =				[]
                      lowercase__       =				0
                      while i < len(UpperCamelCase				):
                             try:
                                    lowercase__       =				word.index(UpperCamelCase     ,		UpperCamelCase				)
                             except ValueError:
                                    new_word.extend(word[i:]				)
                                    break
                             else:
                                    new_word.extend(word[i:j]				)
                                    lowercase__       =				j
  
                             if word[i] == first and i < len(UpperCamelCase				) - 1 and word[i + 1] == second:
                                    new_word.append(first + second				)
                                    i += 2
                             else:
                                    new_word.append(word[i]				)
                                    i += 1
                      lowercase__       =				tuple(UpperCamelCase				)
                      lowercase__       =				new_word
                      if len(UpperCamelCase				) == 1:
                             break
                      else:
                             lowercase__       =				get_pairs(UpperCamelCase				)
               lowercase__       =				''' '''.join(UpperCamelCase				)
               lowercase__       =				word
               return word
  
  
  
        def    UpperCamelCase__	(self					:					Any     ,		UpperCamelCase					:					str     ,		UpperCamelCase					:					str=None				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               if self.add_bos_token:
                      lowercase__       =				[self.bos_token_id]
               else:
                      lowercase__       =				[]
  
               lowercase__       =				bos_token_ids + token_ids_a
  
               if token_ids_a is None:
                      return output
  
               return output + bos_token_ids + token_ids_a
  
  
  
        def    UpperCamelCase__	(self					:					Optional[Any]     ,		UpperCamelCase					:					str				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				[]
               for token in re.findall(self.pat     ,		UpperCamelCase				):
                      lowercase__       =				''''''.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(UpperCamelCase				).split(''' '''				)				)
               return bpe_tokens
  
  
  
        def    UpperCamelCase__	(self					:					str     ,		UpperCamelCase					:					str				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               return self.encoder.get(UpperCamelCase     ,		self.encoder.get(self.unk_token				)				)
  
  
  
        def    UpperCamelCase__	(self					:					Any     ,		UpperCamelCase					:					Optional[int]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               return self.decoder.get(UpperCamelCase				)
  
  
  
        def    UpperCamelCase__	(self					:					List[Any]     ,		UpperCamelCase					:					Optional[int]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				''''''.join(UpperCamelCase				)
               lowercase__       =				bytearray([self.byte_decoder[c] for c in text]				).decode('''utf-8'''     ,		errors=self.errors				)
               return text
  
  
  
        def    UpperCamelCase__	(self					:					int     ,		UpperCamelCase					:					str     ,		UpperCamelCase					:					Optional[str] = None				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               if not os.path.isdir(UpperCamelCase				):
                      logger.error(f"Vocabulary path ({save_directory}) should be a directory"				)
                      return
               lowercase__       =				os.path.join(
                   UpperCamelCase     ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)
               lowercase__       =				os.path.join(
                   UpperCamelCase     ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']				)
  
               with open(UpperCamelCase     ,		'''w'''     ,		encoding='''utf-8'''				) as f:
                      f.write(json.dumps(self.encoder     ,		indent=2     ,		sort_keys=UpperCamelCase     ,		ensure_ascii=UpperCamelCase				) + '''\n'''				)
  
               lowercase__       =				0
               with open(UpperCamelCase     ,		'''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 UpperCamelCase				: 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!'''				)
                                    lowercase__       =				token_index
                             writer.write(''' '''.join(UpperCamelCase				) + '''\n'''				)
                             index += 1
  
               return vocab_file, merge_file
  
  
  
        def    UpperCamelCase__	(self					:					str     ,		UpperCamelCase					:					List[Any]     ,		UpperCamelCase					:					int=False     ,		**UpperCamelCase					:					Optional[int]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				kwargs.pop('''add_prefix_space'''     ,		self.add_prefix_space				)
               if is_split_into_words or add_prefix_space:
                      lowercase__       =				''' ''' + text
               return (text, kwargs)
  
  
  
        def    UpperCamelCase__	(self					:					Tuple     ,		UpperCamelCase					:					Union[int, List[int], "np.ndarray", "torch.Tensor", "tf.Tensor"]     ,		UpperCamelCase					:					bool = False     ,		UpperCamelCase					:					bool = None     ,		UpperCamelCase					:					Optional[List[str]] = None     ,		**UpperCamelCase					:					Optional[Any]     ,		):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				super()._decode(
                   token_ids=UpperCamelCase     ,		skip_special_tokens=UpperCamelCase     ,		clean_up_tokenization_spaces=UpperCamelCase     ,		**UpperCamelCase     ,		)
  
               if truncate_before_pattern is not None and len(UpperCamelCase				) > 0:
                      lowercase__       =				self.truncate(UpperCamelCase     ,		UpperCamelCase				)
  
               return decoded_text
  
  
  
  
  
  
        def    UpperCamelCase__	(self					:					str     ,		UpperCamelCase					:					List[str]     ,		UpperCamelCase					:					Union[str, Any]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               def find_re(UpperCamelCase					:					Dict     ,		UpperCamelCase					:					Dict     ,		UpperCamelCase					:					Optional[Any]				):
                      lowercase__       =				pattern.search(UpperCamelCase     ,		UpperCamelCase				)
                      return m.start() if m else -1
  
               lowercase__       =				[re.compile(UpperCamelCase     ,		re.MULTILINE				) for pattern in truncate_before_pattern]
  
               lowercase__       =				list(re.finditer('''^print'''     ,		UpperCamelCase     ,		re.MULTILINE				)				)
  
               if len(UpperCamelCase				) > 1:
                      lowercase__       =				completion[: prints[1].start()]
  
               lowercase__       =				list(re.finditer('''^def'''     ,		UpperCamelCase     ,		re.MULTILINE				)				)
  
               if len(UpperCamelCase				) > 1:
                      lowercase__       =				completion[: defs[1].start()]
  
               lowercase__       =				0
  
               lowercase__       =				[
                   pos for pos in [find_re(UpperCamelCase     ,		UpperCamelCase     ,		UpperCamelCase				) for terminal in terminals] if pos != -1
               ]
  
               if len(UpperCamelCase				) > 0:
                      return completion[: min(UpperCamelCase				)]
               else:
                      return completion
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  import os
  from shutil import copyfile
  from typing import TYPE_CHECKING, Optional, Tuple
  
  from tokenizers import processors
  
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import is_sentencepiece_available, logging
  from ...utils.versions import require_version
  
  
  if TYPE_CHECKING:
   from transformers.pipelines.conversational import Conversation
  
  require_version('tokenizers>=0.13.3')
  
  if is_sentencepiece_available():
   from .tokenization_llama import LlamaTokenizer
  else:
   lowerCamelCase							:     Optional[int]								=			None
  
  lowerCamelCase							:     List[Any]								=			logging.get_logger(__name__)
  lowerCamelCase							:     Dict								=			{'vocab_file': 'tokenizer.model', 'tokenizer_file': 'tokenizer.json'}
  
  lowerCamelCase		,						lowerCamelCase							:     str								=			'[INST]', '[/INST]'
  lowerCamelCase		,						lowerCamelCase							:     Optional[Any]								=			'<<SYS>>\n', '\n<</SYS>>\n\n'
  
  # fmt: off
  lowerCamelCase							:     Optional[int]								=			'You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\\nanswers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\\nthat your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not\\ncorrect. If you don\'t know the answer to a question, please don\'t share false information.'
  class 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        lowerCAmelCase__      :  int						      =							VOCAB_FILES_NAMES
        lowerCAmelCase__      :  List[str]						      =							LlamaTokenizer
        lowerCAmelCase__      :  Tuple						      =							"""left"""
        lowerCAmelCase__      :  int						      =							["""input_ids""", """attention_mask"""]
  
  
  
        def __init__(self					:					Optional[Any]     ,		UpperCamelCase					:					Tuple=None     ,		UpperCamelCase					:					Optional[int]=None     ,		UpperCamelCase					:					List[str]=False     ,		UpperCamelCase					:					Dict="<unk>"     ,		UpperCamelCase					:					int="<s>"     ,		UpperCamelCase					:					Dict="</s>"     ,		UpperCamelCase					:					Any=True     ,		UpperCamelCase					:					Tuple=False     ,		**UpperCamelCase					:					List[str]     ,		):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               super().__init__(
                   vocab_file=UpperCamelCase     ,		tokenizer_file=UpperCamelCase     ,		clean_up_tokenization_spaces=UpperCamelCase     ,		unk_token=UpperCamelCase     ,		bos_token=UpperCamelCase     ,		eos_token=UpperCamelCase     ,		**UpperCamelCase     ,		)
               lowercase__       =				add_bos_token
               lowercase__       =				add_eos_token
               self.update_post_processor()
  
               lowercase__       =				vocab_file
               lowercase__       =				False if not self.vocab_file else True
  
  
  
        def    UpperCamelCase__	(self					:					Tuple				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				self.bos_token
               lowercase__       =				self.bos_token_id
  
               lowercase__       =				self.eos_token
               lowercase__       =				self.eos_token_id
  
               lowercase__       =				f"{(bos+':0 ') * self.add_bos_token}$A:0{(' '+eos+':0') * self.add_eos_token}"
               lowercase__       =				f"{single}{(' '+bos+':1') * self.add_bos_token} $B:1{(' '+eos+':1') * self.add_eos_token}"
  
               lowercase__       =				[]
               if self.add_bos_token:
                      special_tokens.append((bos, bos_token_id)				)
               if self.add_eos_token:
                      special_tokens.append((eos, eos_token_id)				)
               lowercase__       =				processors.TemplateProcessing(
                   single=UpperCamelCase     ,		pair=UpperCamelCase     ,		special_tokens=UpperCamelCase				)
  
  
  
        @property
        def    UpperCamelCase__	(self					:					Union[str, Any]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               return self._add_eos_token
  
  
  
        @property
        def    UpperCamelCase__	(self					:					Tuple				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               return self._add_bos_token
  
  
  
        @add_eos_token.setter
        def    UpperCamelCase__	(self					:					Union[str, Any]     ,		UpperCamelCase					:					int				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				value
               self.update_post_processor()
  
  
  
        @add_bos_token.setter
        def    UpperCamelCase__	(self					:					Optional[Any]     ,		UpperCamelCase					:					Optional[int]				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				value
               self.update_post_processor()
  
  
  
        def    UpperCamelCase__	(self					:					Optional[Any]     ,		UpperCamelCase					:					str     ,		UpperCamelCase					:					Optional[str] = None				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               if not self.can_save_slow_tokenizer:
                      raise ValueError(
                          '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
                          '''tokenizer.'''				)
  
               if not os.path.isdir(UpperCamelCase				):
                      logger.error(f"Vocabulary path ({save_directory}) should be a directory"				)
                      return
               lowercase__       =				os.path.join(
                   UpperCamelCase     ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)
  
               if os.path.abspath(self.vocab_file				) != os.path.abspath(UpperCamelCase				):
                      copyfile(self.vocab_file     ,		UpperCamelCase				)
  
               return (out_vocab_file,)
  
  
  
  
  
  
        def    UpperCamelCase__	(self					:					str     ,		UpperCamelCase					:					"Conversation"				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               lowercase__       =				list(conversation.iter_texts()				)
               if not all([is_user for is_user, msg in dialogue[::2]]				) or not all(
                   [not is_user for is_user, msg in dialogue[1::2]]				):
                      raise ValueError(
                          '''The model only supports \'user\' and \'assistant\' roles, starting with user and alternating (u/a/u/a/u...)'''				)
  
               lowercase__       =				[]
               if len(conversation.past_user_inputs				) > 0:
                      if not conversation.past_user_inputs[0].startswith(UpperCamelCase				) or E_SYS not in conversation.past_user_inputs[0]:
                             lowercase__       =				(
                                 B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
                             )
               elif not dialogue[0][1].startswith(UpperCamelCase				) or E_SYS not in dialogue[0][1]:
                      lowercase__       =				(dialogue[0][0], B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + dialogue[0][1])
  
               dialog_tokens += sum(
                   [
                       [self.bos_token_id]
                       + self.encode(
                           f"{B_INST} {(prompt[1]).strip()} {E_INST} {(answer[1]).strip()} "     ,		add_special_tokens=UpperCamelCase				)
                       + [self.eos_token_id]
                       for prompt, answer in zip(dialogue[::2]     ,		dialogue[1::2]				)
                   ]     ,		[]     ,		)
               if not (dialogue[-1][0]):
                      raise ValueError(f"Last message must be from user, got {dialogue[-1]['role']}"				)
               dialog_tokens += [self.bos_token_id] + self.encode(
                   f"{B_INST} {(dialogue[-1][1]).strip()} {E_INST}"     ,		add_special_tokens=UpperCamelCase				)
               return dialog_tokens
  
  
  
  
  