





import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase_					     =	logging.get_logger(__name__)


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

lowercase_					     =	{
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

lowercase_					     =	{"""facebook/blenderbot_small-90M""": 512}




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     int:
  lowercase__			    =						set()
  lowercase__			    =						word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)	)
    lowercase__			    =						char

  lowercase__			    =						set(_SCREAMING_SNAKE_CASE	)
  return pairs


class        SCREAMING_SNAKE_CASE     (UpperCAmelCase   ):
   _UpperCamelCase					:	Optional[int]				      = VOCAB_FILES_NAMES
   _UpperCamelCase					:	List[str]				      = PRETRAINED_VOCAB_FILES_MAP
   _UpperCamelCase					:	Optional[Any]				      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCamelCase					:	str				      = ['input_ids', 'attention_mask']


   def __init__(					self    :       Any    ,  a    :       Optional[Any]    ,  a    :       str    ,  a    :       Union[str, Any]="__start__"    ,  a    :       List[Any]="__end__"    ,  a    :       Optional[Any]="__unk__"    ,  a    :       Any="__null__"    ,  **a    :       int    ,  )->     Any:





     """simple docstring"""







     super().__init__(unk_token=a    ,  bos_token=a    ,  eos_token=a    ,  pad_token=a    ,  **a )

     with open(a    ,  encoding='utf-8' ) as vocab_handle:
       lowercase__			    =						json.load(a )
     lowercase__			    =						{v: k for k, v in self.encoder.items()}
     with open(a    ,  encoding='utf-8' ) as merges_handle:
       lowercase__			    =						merges_handle.read().split('\n' )[1:-1]
     lowercase__			    =						[tuple(merge.split() ) for merge in merges]
     lowercase__			    =						dict(zip(a    ,  range(len(a ) ) ) )
     lowercase__			    =						{}


   @property
   def  SCREAMING_SNAKE_CASE_							(					self    :       str )->     int:





     """simple docstring"""







     return len(self.encoder )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Tuple )->     Dict:





     """simple docstring"""







     return dict(self.encoder    ,  **self.added_tokens_encoder )


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[Any]    ,  a    :       str )->     str:





     """simple docstring"""







     if token in self.cache:
       return self.cache[token]
     lowercase__			    =						re.sub('([.,!?()])'    ,  R' \1'    ,  a )
     lowercase__			    =						re.sub('(\')'    ,  R' \1 '    ,  a )
     lowercase__			    =						re.sub(R'\s{2,}'    ,  ' '    ,  a )
     if "\n" in token:
       lowercase__			    =						token.replace('\n'    ,  ' __newln__' )

     lowercase__			    =						token.split(' ' )
     lowercase__			    =						[]
     for token in tokens:
       if not len(a ):
         continue

       lowercase__			    =						token.lower()
       lowercase__			    =						tuple(a )
       lowercase__			    =						tuple(list(word[:-1] ) + [word[-1] + '</w>'] )
       lowercase__			    =						get_pairs(a )

       if not pairs:
         words.append(a )
         continue

       while True:
         lowercase__			    =						min(a    ,  key=lambda a : self.bpe_ranks.get(a    ,  float('inf' ) ) )
         if bigram not in self.bpe_ranks:
           break
         lowercase__    ,					lowercase__			    =						bigram
         lowercase__			    =						[]
         lowercase__			    =						0

         while i < len(a ):
           try:
             lowercase__			    =						word.index(a    ,  a )
             new_word.extend(word[i:j] )
             lowercase__			    =						j
           except ValueError:
             new_word.extend(word[i:] )
             break

           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
         lowercase__			    =						tuple(a )
         lowercase__			    =						new_word
         if len(a ) == 1:
           break
         else:
           lowercase__			    =						get_pairs(a )
       lowercase__			    =						'@@ '.join(a )
       lowercase__			    =						word[:-4]

       lowercase__			    =						word
       words.append(a )
     return " ".join(a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Any    ,  a    :       str )->     List[str]:





     """simple docstring"""







     lowercase__			    =						[]

     lowercase__			    =						re.findall(R'\S+\n?'    ,  a )

     for token in words:
       split_tokens.extend(list(self.bpe(a ).split(' ' ) ) )
     return split_tokens


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[Any]    ,  a    :       str )->     int:





     """simple docstring"""







     lowercase__			    =						token.lower()
     return self.encoder.get(a    ,  self.encoder.get(self.unk_token ) )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Any    ,  a    :       int )->     str:





     """simple docstring"""







     return self.decoder.get(a    ,  self.unk_token )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Any    ,  a    :       List[str] )->     str:





     """simple docstring"""







     lowercase__			    =						' '.join(a ).replace('@@ '    ,  '' ).strip()
     return out_string


   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  a    :       str    ,  a    :       Optional[str] = None )->     Tuple[str]:





     """simple docstring"""







     if not os.path.isdir(a ):
       logger.error(f"""Vocabulary path ({save_directory}) should be a directory""" )
       return
     lowercase__			    =						os.path.join(
         a    ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )
     lowercase__			    =						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' )

     lowercase__			    =						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!' )
           lowercase__			    =						token_index
         writer.write(' '.join(a ) + '\n' )
         index += 1

     return vocab_file, merge_file









from __future__ import annotations

import math
from collections.abc import Callable




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE = 100	,		)       ->     float:
  lowercase__			    =						x_start
  lowercase__			    =						fnc(_SCREAMING_SNAKE_CASE	)
  lowercase__			    =						0.0

  for _ in range(_SCREAMING_SNAKE_CASE	):
    # Approximates curve as a sequence of linear lines and sums their length
    lowercase__			    =						(x_end - x_start) / steps + xa
    lowercase__			    =						fnc(_SCREAMING_SNAKE_CASE	)
    length += math.hypot(xa - xa	,		fxa - fxa	)

    # Increment step
    lowercase__			    =						xa
    lowercase__			    =						fxa

  return length


if __name__ == "__main__":




      def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     str:
        return math.sin(10 * x	)

      print("""f(x) = sin(10 * x)""")
      print("""The length of the curve from x = -10 to x = 10 is:""")
      lowercase_					     =	10
      while i <= 100_000:
            print(f'''With {i} steps: {line_length(f, -10, 10, i)}''')
            i *= 10


