


'''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


__UpperCAmelCase     :Union[str, Any]												=  logging.get_logger(__name__)

__UpperCAmelCase     :Optional[Any]												=  {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

__UpperCAmelCase     :Optional[int]												=  {
    "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",
    },
}

__UpperCAmelCase     :Optional[Any]												=  {
    "Salesforce/codegen-350M-mono": 2_0_4_8,
}




@lru_cache()
def       _a      (		):





     '''simple docstring'''






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




def       _a      (		_lowercase   :      Optional[Any]    ):





     '''simple docstring'''






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



class       a							(						_a			):


     """simple docstring"""






     SCREAMING_SNAKE_CASE			:					Tuple				  =  VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE			:					str				  =  PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE			:					Dict				  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     SCREAMING_SNAKE_CASE			:					Optional[int]				  =  ['''input_ids''', '''attention_mask''']

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

          with open(_snake_case				,					encoding='''utf-8'''     ) as vocab_handle:
               __UpperCAmelCase      :					str    				=     json.load(_snake_case     )
          __UpperCAmelCase      :					Any    				=     {v: k for k, v in self.encoder.items()}
          __UpperCAmelCase      :					int    				=     errors  # how to handle errors in decoding
          __UpperCAmelCase      :					List[Any]    				=     bytes_to_unicode()
          __UpperCAmelCase      :					Union[str, Any]    				=     {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      :					List[Any]    				=     dict(zip(_snake_case				,					range(len(_snake_case     )     )     )     )
          __UpperCAmelCase      :					List[Any]    				=     {}
          __UpperCAmelCase      :					List[Any]    				=     add_prefix_space

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

     @property
     def 					lowerCamelCase__					(							self	:						Dict     )		->				Union[str, Any]:
          return len(self.encoder     )

     def 					lowerCamelCase__					(							self	:						str     )		->				Optional[Any]:
          return dict(self.encoder				,					**self.added_tokens_encoder     )

     def 					lowerCamelCase__					(							self	:						Any				,					snake_case	:						Optional[Any]     )		->				Union[str, Any]:


          if token in self.cache:
               return self.cache[token]
          __UpperCAmelCase      :					str    				=     tuple(_snake_case     )
          __UpperCAmelCase      :					Tuple    				=     get_pairs(_snake_case     )

          if not pairs:
               return token

          while True:
               __UpperCAmelCase      :					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				,  __UpperCAmelCase      :					Tuple    				=     bigram
               __UpperCAmelCase      :					Optional[int]    				=     []
               __UpperCAmelCase      :					Dict    				=     0
               while i < len(_snake_case     ):
                    try:
                         __UpperCAmelCase      :					Any    				=     word.index(_snake_case				,					_snake_case     )
                    except ValueError:
                         new_word.extend(word[i:]     )
                         break
                    else:
                         new_word.extend(word[i:j]     )
                         __UpperCAmelCase      :					str    				=     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      :					Optional[Any]    				=     tuple(_snake_case     )
               __UpperCAmelCase      :					List[str]    				=     new_word
               if len(_snake_case     ) == 1:
                    break
               else:
                    __UpperCAmelCase      :					Dict    				=     get_pairs(_snake_case     )
          __UpperCAmelCase      :					List[Any]    				=     ''' '''.join(_snake_case     )
          __UpperCAmelCase      :					Optional[int]    				=     word
          return word

     def 					lowerCamelCase__					(							self	:						Optional[int]				,					snake_case	:						Optional[int]				,					snake_case	:						Optional[Any]=None     )		->				Optional[Any]:


          if self.add_bos_token:
               __UpperCAmelCase      :					Optional[Any]    				=     [self.bos_token_id]
          else:
               __UpperCAmelCase      :					int    				=     []

          __UpperCAmelCase      :					int    				=     bos_token_ids + token_ids_a

          if token_ids_a is None:
               return output

          return output + bos_token_ids + token_ids_a

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

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

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

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

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


          if not os.path.isdir(_snake_case     ):
               logger.error(f'Vocabulary path ({save_directory}) should be a directory'     )
               return
          __UpperCAmelCase      :					List[Any]    				=     os.path.join(
              _snake_case				,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']     )
          __UpperCAmelCase      :					str    				=     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      :					str    				=     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      :					Any    				=     token_index
                    writer.write(''' '''.join(_snake_case     ) + '''\n'''     )
                    index += 1

          return vocab_file, merge_file

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

     def 					lowerCamelCase__					(							self	:						List[Any]				,					snake_case	:						Union[int, List[int], "np.ndarray", "torch.Tensor", "tf.Tensor"]				,					snake_case	:						bool = False				,					snake_case	:						bool = None				,					snake_case	:						Optional[List[str]] = None				,					**snake_case	:						List[Any]				,					)		->				str:
          __UpperCAmelCase      :					Optional[int]    				=     super()._decode(
              token_ids=_snake_case				,					skip_special_tokens=_snake_case				,					clean_up_tokenization_spaces=_snake_case				,					**_snake_case				,					)

          if truncate_before_pattern is not None and len(_snake_case     ) > 0:
               __UpperCAmelCase      :					Union[str, Any]    				=     self.truncate(_snake_case				,					_snake_case     )

          return decoded_text






     def 					lowerCamelCase__					(							self	:						List[str]				,					snake_case	:						List[str]				,					snake_case	:						str     )		->				List[Any]:


          def find_re(snake_case	:						Union[str, Any]				,					snake_case	:						Any				,					snake_case	:						Optional[int]     ):
               __UpperCAmelCase      :					Tuple    				=     pattern.search(_snake_case				,					_snake_case     )
               return m.start() if m else -1

          __UpperCAmelCase      :					str    				=     [re.compile(_snake_case				,					re.MULTILINE     ) for pattern in truncate_before_pattern]

          __UpperCAmelCase      :					Any    				=     list(re.finditer('''^print'''				,					_snake_case				,					re.MULTILINE     )     )

          if len(_snake_case     ) > 1:
               __UpperCAmelCase      :					Optional[int]    				=     completion[: prints[1].start()]

          __UpperCAmelCase      :					Any    				=     list(re.finditer('''^def'''				,					_snake_case				,					re.MULTILINE     )     )

          if len(_snake_case     ) > 1:
               __UpperCAmelCase      :					List[str]    				=     completion[: defs[1].start()]

          __UpperCAmelCase      :					Dict    				=     0

          __UpperCAmelCase      :					Dict    				=     [
              pos for pos in [find_re(_snake_case				,					_snake_case				,					_snake_case     ) for terminal in terminals] if pos != -1
          ]

          if len(_snake_case     ) > 0:
               return completion[: min(_snake_case     )]
          else:
               return completion





import math


def   A		(__A  :       int			)  -> float:







     """simple docstring"""


     UpperCAmelCase_		=				math.log(2  ,							10			) * number
     UpperCAmelCase_		=				round((log_number - int(__A			))  ,							15			)

     return difference


def   A		(__A  :       int = 678910			)  -> int:







     """simple docstring"""


     UpperCAmelCase_		=				90
     UpperCAmelCase_		=				0

     UpperCAmelCase_		=				math.log(1.23  ,							10			)
     UpperCAmelCase_		=				math.log(1.24  ,							10			)
     UpperCAmelCase_		=				0

     while position < number:
          UpperCAmelCase_		=				log_difference(__A			)

          if difference >= upper_limit:
               power_iterator += 93

          elif difference < lower_limit:
               power_iterator += 196

          else:
               UpperCAmelCase_		=				power_iterator
               power_iterator += 196
               position += 1

     return previous_power


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    print(f"{solution() = }")






