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
  
  
  lowercase__				=	logging.get_logger(__name__)
  
  lowercase__				=	{
      '''vocab_file''': '''vocab.json''',
      '''merges_file''': '''merges.txt''',
  }
  
  lowercase__				=	{
      '''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''',
      },
  }
  
  lowercase__				=	{
      '''Salesforce/codegen-350M-mono''': 2_0_4_8,
  }
  
  
  @lru_cache()
  def 				UpperCamelCase	(  ):
  
  
  
  
     '''simple docstring'''
  
     SCREAMING_SNAKE_CASE__			:				Optional[int]       						= (
         list(range(ord('''!'''   )	,     ord('''~'''   ) + 1   )   ) + list(range(ord('''¡'''   )	,     ord('''¬'''   ) + 1   )   ) + list(range(ord('''®'''   )	,     ord('''ÿ'''   ) + 1   )   )
     )
     SCREAMING_SNAKE_CASE__			:				Union[str, Any]       						= bs[:]
     SCREAMING_SNAKE_CASE__			:				Dict       						= 0
     for b in range(2**8   ):
        if b not in bs:
           bs.append(lowercase__   )
           cs.append(2**8 + n   )
           n += 1
     SCREAMING_SNAKE_CASE__			:				int       						= [chr(lowercase__   ) for n in cs]
     return dict(zip(lowercase__	,     lowercase__   )   )
  
  
  def 				UpperCamelCase	(  snake_case   ):
  
  
  
  
     '''simple docstring'''
  
     SCREAMING_SNAKE_CASE__			:				str       						= set()
     SCREAMING_SNAKE_CASE__			:				int       						= word[0]
     for char in word[1:]:
        pairs.add((prev_char, char)   )
        SCREAMING_SNAKE_CASE__			:				Optional[int]       						= char
     return pairs
  
  
  
  
  
  
  
  class 						lowercase     (   A_):
        __lowercase 		=  VOCAB_FILES_NAMES
        __lowercase 		=  PRETRAINED_VOCAB_FILES_MAP
        __lowercase 		=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
        __lowercase 		=  ['''input_ids''', '''attention_mask''']
  
  
  
  
  
  
        def __init__(self ,  a__ ,  a__ ,  a__="replace" ,  a__="<|endoftext|>" ,  a__="<|endoftext|>" ,  a__="<|endoftext|>" ,  a__=None ,  a__=False ,  a__=False ,  **a__ ,  )       ->   Optional[Any]:
           SCREAMING_SNAKE_CASE__			:				List[Any]       						= AddedToken(a__ ,  lstrip=a__ ,  rstrip=a__					) if isinstance(a__ ,  a__					) else bos_token
           SCREAMING_SNAKE_CASE__			:				Dict       						= AddedToken(a__ ,  lstrip=a__ ,  rstrip=a__					) if isinstance(a__ ,  a__					) else eos_token
           SCREAMING_SNAKE_CASE__			:				Tuple       						= AddedToken(a__ ,  lstrip=a__ ,  rstrip=a__					) if isinstance(a__ ,  a__					) else unk_token
           SCREAMING_SNAKE_CASE__			:				str       						= 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__ ,  )
           SCREAMING_SNAKE_CASE__			:				Optional[Any]       						= add_bos_token
  
           with open(a__ ,  encoding='''utf-8'''					) as vocab_handle:
              SCREAMING_SNAKE_CASE__			:				Any       						= json.load(a__					)
           SCREAMING_SNAKE_CASE__			:				List[str]       						= {v: k for k, v in self.encoder.items()}
           SCREAMING_SNAKE_CASE__			:				Optional[Any]       						= errors  # how to handle errors in decoding
           SCREAMING_SNAKE_CASE__			:				Dict       						= bytes_to_unicode()
           SCREAMING_SNAKE_CASE__			:				Union[str, Any]       						= {v: k for k, v in self.byte_encoder.items()}
           with open(a__ ,  encoding='''utf-8'''					) as merges_handle:
              SCREAMING_SNAKE_CASE__			:				Optional[int]       						= merges_handle.read().split('''\n'''					)[1:-1]
           SCREAMING_SNAKE_CASE__			:				int       						= [tuple(merge.split()					) for merge in bpe_merges]
           SCREAMING_SNAKE_CASE__			:				List[str]       						= dict(zip(a__ ,  range(len(a__					)					)					)					)
           SCREAMING_SNAKE_CASE__			:				Dict       						= {}
           SCREAMING_SNAKE_CASE__			:				str       						= add_prefix_space
  
           # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
           SCREAMING_SNAKE_CASE__			:				List[str]       						= re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''					)
  
  
  
  
  
  
        @property
        def    A__(self					)       ->   Any:
           return len(self.encoder					)
  
  
  
  
  
  
        def    A__(self					)       ->   Union[str, Any]:
           return dict(self.encoder ,  **self.added_tokens_encoder					)
  
  
  
  
  
  
        def    A__(self ,  a__					)       ->   str:
           if token in self.cache:
              return self.cache[token]
           SCREAMING_SNAKE_CASE__			:				Any       						= tuple(a__					)
           SCREAMING_SNAKE_CASE__			:				Any       						= get_pairs(a__					)
  
           if not pairs:
              return token
  
           while True:
              SCREAMING_SNAKE_CASE__			:				Any       						= min(a__ ,  key=lambda a__					: self.bpe_ranks.get(a__ ,  float('''inf'''					)					)					)
              if bigram not in self.bpe_ranks:
                 break
              SCREAMING_SNAKE_CASE__						,				SCREAMING_SNAKE_CASE__			:				Tuple       						= bigram
              SCREAMING_SNAKE_CASE__			:				int       						= []
              SCREAMING_SNAKE_CASE__			:				Any       						= 0
              while i < len(a__					):
                 try:
                    SCREAMING_SNAKE_CASE__			:				str       						= word.index(a__ ,  a__					)
                 except ValueError:
                    new_word.extend(word[i:]					)
                    break
                 else:
                    new_word.extend(word[i:j]					)
                    SCREAMING_SNAKE_CASE__			:				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
              SCREAMING_SNAKE_CASE__			:				Optional[int]       						= tuple(a__					)
              SCREAMING_SNAKE_CASE__			:				Dict       						= new_word
              if len(a__					) == 1:
                 break
              else:
                 SCREAMING_SNAKE_CASE__			:				Optional[int]       						= get_pairs(a__					)
           SCREAMING_SNAKE_CASE__			:				List[str]       						= ''' '''.join(a__					)
           SCREAMING_SNAKE_CASE__			:				List[Any]       						= word
           return word
  
  
  
  
  
  
        def    A__(self ,  a__ ,  a__=None					)       ->   str:
           if self.add_bos_token:
              SCREAMING_SNAKE_CASE__			:				Dict       						= [self.bos_token_id]
           else:
              SCREAMING_SNAKE_CASE__			:				Dict       						= []
  
           SCREAMING_SNAKE_CASE__			:				List[str]       						= bos_token_ids + token_ids_a
  
           if token_ids_a is None:
              return output
  
           return output + bos_token_ids + token_ids_a
  
  
  
  
  
  
        def    A__(self ,  a__					)       ->   int:
           SCREAMING_SNAKE_CASE__			:				Optional[Any]       						= []
           for token in re.findall(self.pat ,  a__					):
              SCREAMING_SNAKE_CASE__			:				Optional[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(a__					).split(''' '''					)					)
           return bpe_tokens
  
  
  
  
  
  
        def    A__(self ,  a__					)       ->   Union[str, Any]:
           return self.encoder.get(a__ ,  self.encoder.get(self.unk_token					)					)
  
  
  
  
  
  
        def    A__(self ,  a__					)       ->   Any:
           return self.decoder.get(a__					)
  
  
  
  
  
  
        def    A__(self ,  a__					)       ->   Union[str, Any]:
           SCREAMING_SNAKE_CASE__			:				Tuple       						= ''''''.join(a__					)
           SCREAMING_SNAKE_CASE__			:				List[str]       						= bytearray([self.byte_decoder[c] for c in text]					).decode('''utf-8''' ,  errors=self.errors					)
           return text
  
  
  
  
  
  
        def    A__(self ,  a__ ,  a__ = None					)       ->   List[str]:
           if not os.path.isdir(a__					):
              logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""					)
              return
           SCREAMING_SNAKE_CASE__			:				Dict       						= os.path.join(
               a__ ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']					)
           SCREAMING_SNAKE_CASE__			:				int       						= 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'''					)
  
           SCREAMING_SNAKE_CASE__			:				Dict       						= 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!'''					)
                    SCREAMING_SNAKE_CASE__			:				Optional[Any]       						= token_index
                 writer.write(''' '''.join(a__					) + '''\n'''					)
                 index += 1
  
           return vocab_file, merge_file
  
  
  
  
  
  
        def    A__(self ,  a__ ,  a__=False ,  **a__					)       ->   Tuple:
           SCREAMING_SNAKE_CASE__			:				int       						= kwargs.pop('''add_prefix_space''' ,  self.add_prefix_space					)
           if is_split_into_words or add_prefix_space:
              SCREAMING_SNAKE_CASE__			:				List[str]       						= ''' ''' + text
           return (text, kwargs)
  
  
  
  
  
  
        def    A__(self ,  a__ ,  a__ = False ,  a__ = None ,  a__ = None ,  **a__ ,  )       ->   Any:
           SCREAMING_SNAKE_CASE__			:				List[str]       						= super()._decode(
               token_ids=a__ ,  skip_special_tokens=a__ ,  clean_up_tokenization_spaces=a__ ,  **a__ ,  )
  
           if truncate_before_pattern is not None and len(a__					) > 0:
              SCREAMING_SNAKE_CASE__			:				Optional[int]       						= self.truncate(a__ ,  a__					)
  
           return decoded_text
  
  
  
  
  
  
        def    A__(self ,  a__ ,  a__					)       ->   Optional[Any]:
           def find_re(a__ ,  a__ ,  a__					):
              SCREAMING_SNAKE_CASE__			:				Tuple       						= pattern.search(a__ ,  a__					)
              return m.start() if m else -1
  
           SCREAMING_SNAKE_CASE__			:				Dict       						= [re.compile(a__ ,  re.MULTILINE					) for pattern in truncate_before_pattern]
  
           SCREAMING_SNAKE_CASE__			:				List[str]       						= list(re.finditer('''^print''' ,  a__ ,  re.MULTILINE					)					)
  
           if len(a__					) > 1:
              SCREAMING_SNAKE_CASE__			:				Optional[int]       						= completion[: prints[1].start()]
  
           SCREAMING_SNAKE_CASE__			:				Any       						= list(re.finditer('''^def''' ,  a__ ,  re.MULTILINE					)					)
  
           if len(a__					) > 1:
              SCREAMING_SNAKE_CASE__			:				Optional[Any]       						= completion[: defs[1].start()]
  
           SCREAMING_SNAKE_CASE__			:				Union[str, Any]       						= 0
  
           SCREAMING_SNAKE_CASE__			:				List[str]       						= [
               pos for pos in [find_re(a__ ,  a__ ,  a__					) for terminal in terminals] if pos != -1
           ]
  
           if len(a__					) > 0:
              return completion[: min(a__					)]
           else:
              return completion
  
  
style_context: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  def 				UpperCamelCase	(  snake_case = 99_80_01   ):
  
  
  
  
     '''simple docstring'''
  
     for number in range(n - 1	,     99_99	,     -1   ):
        SCREAMING_SNAKE_CASE__			:				int       						= str(snake_case   )
  
        # checks whether 'str_number' is a palindrome.
        if str_number == str_number[::-1]:
           SCREAMING_SNAKE_CASE__			:				Any       						= 9_99
  
           # if 'number' is a product of two 3-digit numbers
           # then number is the answer otherwise fetch next number.
           while divisor != 99:
              if (number % divisor == 0) and (len(str(number // divisor   )   ) == 3.0):
                 return number
              divisor -= 1
     raise ValueError('''That number is larger than our acceptable range.'''   )
  
  
  if __name__ == "__main__":
         print(F"{solution() = }")
  
  