


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

import regex as re

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


UpperCAmelCase_				:			Any   =	logging.get_logger(__name__)


UpperCAmelCase_				:			int   =	{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

UpperCAmelCase_				:			Union[str, Any]   =	{
    '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'
        )
    },
}

UpperCAmelCase_				:			str   =	{'facebook/blenderbot_small-90M': 512}







def 	SCREAMING_SNAKE_CASE_						(      __A			:      str    )     ->		Optional[Any]:

       """simple docstring"""

       a_ :		Tuple							=  set()
       a_ :		Any							=  word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)    )
              a_ :		Optional[Any]							=  char

       a_ :		Optional[Any]							=  set(__A    )
       return pairs
class 			SCREAMING_SNAKE_CASE__  (    lowercase__      ):
      snake_case__    :					str					       =						VOCAB_FILES_NAMES
      snake_case__    :					Dict					       =						PRETRAINED_VOCAB_FILES_MAP
      snake_case__    :					str					       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__    :					Any					       =						['''input_ids''', '''attention_mask''']
      def __init__(	self    :	Any					,							SCREAMING_SNAKE_CASE__    :	int					,							SCREAMING_SNAKE_CASE__    :	Optional[Any]					,							SCREAMING_SNAKE_CASE__    :	Tuple="__start__"					,							SCREAMING_SNAKE_CASE__    :	List[Any]="__end__"					,							SCREAMING_SNAKE_CASE__    :	str="__unk__"					,							SCREAMING_SNAKE_CASE__    :	Dict="__null__"					,							**SCREAMING_SNAKE_CASE__    :	Union[str, Any]					,							)		->      int:
             super().__init__(unk_token=SCREAMING_SNAKE_CASE__					,							bos_token=SCREAMING_SNAKE_CASE__					,							eos_token=SCREAMING_SNAKE_CASE__					,							pad_token=SCREAMING_SNAKE_CASE__					,							**SCREAMING_SNAKE_CASE__					)

             with open(SCREAMING_SNAKE_CASE__					,							encoding='utf-8'					) as vocab_handle:
                    a_ :		Dict							=  json.load(SCREAMING_SNAKE_CASE__					)
             a_ :		int							=  {v: k for k, v in self.encoder.items()}
             with open(SCREAMING_SNAKE_CASE__					,							encoding='utf-8'					) as merges_handle:
                    a_ :		str							=  merges_handle.read().split('\n'					)[1:-1]
             a_ :		Union[str, Any]							=  [tuple(merge.split()					) for merge in merges]
             a_ :		Tuple							=  dict(zip(SCREAMING_SNAKE_CASE__					,							range(len(SCREAMING_SNAKE_CASE__					)					)					)					)
             a_ :		Tuple							=  {}
      @property
      def 	SCREAMING_SNAKE_CASE							(	self    :	List[Any]					)		->      int:
             return len(self.encoder					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[Any]					)		->      Dict:
             return dict(self.encoder					,							**self.added_tokens_encoder					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	str					,							SCREAMING_SNAKE_CASE__    :	str					)		->      str:
             if token in self.cache:
                    return self.cache[token]
             a_ :		Any							=  re.sub('([.,!?()])'					,							r' \1'					,							SCREAMING_SNAKE_CASE__					)
             a_ :		List[str]							=  re.sub('(\')'					,							r' \1 '					,							SCREAMING_SNAKE_CASE__					)
             a_ :		Optional[Any]							=  re.sub(r'\s{2,}'					,							' '					,							SCREAMING_SNAKE_CASE__					)
             if "\n" in token:
                    a_ :		str							=  token.replace('\n'					,							' __newln__'					)

             a_ :		Tuple							=  token.split(' '					)
             a_ :		Any							=  []
             for token in tokens:
                    if not len(SCREAMING_SNAKE_CASE__					):
                           continue

                    a_ :		Union[str, Any]							=  token.lower()
                    a_ :		Dict							=  tuple(SCREAMING_SNAKE_CASE__					)
                    a_ :		Any							=  tuple(list(word[:-1]					) + [word[-1] + '</w>']					)
                    a_ :		List[Any]							=  get_pairs(SCREAMING_SNAKE_CASE__					)

                    if not pairs:
                           words.append(SCREAMING_SNAKE_CASE__					)
                           continue

                    while True:
                           a_ :		Any							=  min(SCREAMING_SNAKE_CASE__					,							key=lambda SCREAMING_SNAKE_CASE__					: self.bpe_ranks.get(SCREAMING_SNAKE_CASE__					,							float('inf'					)					)					)
                           if bigram not in self.bpe_ranks:
                                  break
                           a_							,		a_ :		Union[str, Any]							=  bigram
                           a_ :		Dict							=  []
                           a_ :		Dict							=  0

                           while i < len(SCREAMING_SNAKE_CASE__					):
                                  try:
                                         a_ :		Optional[Any]							=  word.index(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					)
                                         new_word.extend(word[i:j]					)
                                         a_ :		Any							=  j
                                  except ValueError:
                                         new_word.extend(word[i:]					)
                                         break

                                  if word[i] == first and i < len(SCREAMING_SNAKE_CASE__					) - 1 and word[i + 1] == second:
                                         new_word.append(first + second					)
                                         i += 2
                                  else:
                                         new_word.append(word[i]					)
                                         i += 1
                           a_ :		Any							=  tuple(SCREAMING_SNAKE_CASE__					)
                           a_ :		List[str]							=  new_word
                           if len(SCREAMING_SNAKE_CASE__					) == 1:
                                  break
                           else:
                                  a_ :		int							=  get_pairs(SCREAMING_SNAKE_CASE__					)
                    a_ :		str							=  '@@ '.join(SCREAMING_SNAKE_CASE__					)
                    a_ :		Tuple							=  word[:-4]

                    a_ :		List[Any]							=  word
                    words.append(SCREAMING_SNAKE_CASE__					)
             return " ".join(SCREAMING_SNAKE_CASE__					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[Any]					,							SCREAMING_SNAKE_CASE__    :	str					)		->      List[str]:
             a_ :		List[Any]							=  []

             a_ :		int							=  re.findall(r'\S+\n?'					,							SCREAMING_SNAKE_CASE__					)

             for token in words:
                    split_tokens.extend(list(self.bpe(SCREAMING_SNAKE_CASE__					).split(' '					)					)					)
             return split_tokens
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[Any]					,							SCREAMING_SNAKE_CASE__    :	str					)		->      int:
             a_ :		Optional[int]							=  token.lower()
             return self.encoder.get(SCREAMING_SNAKE_CASE__					,							self.encoder.get(self.unk_token					)					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	Tuple					,							SCREAMING_SNAKE_CASE__    :	int					)		->      str:
             return self.decoder.get(SCREAMING_SNAKE_CASE__					,							self.unk_token					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	List[str]					,							SCREAMING_SNAKE_CASE__    :	List[str]					)		->      str:
             a_ :		int							=  ' '.join(SCREAMING_SNAKE_CASE__					).replace('@@ '					,							''					).strip()
             return out_string

      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[int]					,							SCREAMING_SNAKE_CASE__    :	str					,							SCREAMING_SNAKE_CASE__    :	Optional[str] = None					)		->      Tuple[str]:
             if not os.path.isdir(SCREAMING_SNAKE_CASE__					):
                    logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""					)
                    return
             a_ :		str							=  os.path.join(
                 SCREAMING_SNAKE_CASE__					,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)
             a_ :		Dict							=  os.path.join(
                 SCREAMING_SNAKE_CASE__					,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']					)

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

             a_ :		Tuple							=  0
             with open(SCREAMING_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 SCREAMING_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!'					)
                                  a_ :		Optional[int]							=  token_index
                           writer.write(' '.join(SCREAMING_SNAKE_CASE__					) + '\n'					)
                           index += 1

             return vocab_file, merge_file






from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
UpperCAmelCase_				:			str   =	1.054571817e-34  # unit of ℏ : J * s

UpperCAmelCase_				:			Dict   =	3e8  # unit of c : m * s^-1







def 	SCREAMING_SNAKE_CASE_						(      __A			:      float  ,   __A			:      float  ,   __A			:      float    )     ->		dict[str, float]:

       """simple docstring"""

       if (force, area, distance).count(0    ) != 1:
              raise ValueError('One and only one argument must be 0'    )
       if force < 0:
              raise ValueError('Magnitude of force can not be negative'    )
       if distance < 0:
              raise ValueError('Distance can not be negative'    )
       if area < 0:
              raise ValueError('Area can not be negative'    )
       if force == 0:
              a_ :		Optional[Any]							=  (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
                  2_40 * (distance) ** 4
              )
              return {"force": force}
       elif area == 0:
              a_ :		List[str]							=  (2_40 * force * (distance) ** 4) / (
                  REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
              )
              return {"area": area}
       elif distance == 0:
              a_ :		Tuple							=  (
                  (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (2_40 * force)
              ) ** (1 / 4)
              return {"distance": distance}
       raise ValueError('One and only one argument must be 0'    )


# Run doctest
if __name__ == "__main__":
   import doctest

   doctest.testmod()


