
"""simple docstring"""

from __future__ import annotations

import typing
from collections.abc import Iterable

import numpy as np

SCREAMING_SNAKE_CASE_    					=						typing.Union[Iterable[float], Iterable[int], np.ndarray]  # noqa: UP007
SCREAMING_SNAKE_CASE_    					=						typing.Union[np.floataa, int, float]  # noqa: UP007

def     lowercase__						(					lowerCAmelCase				:					Vector ,				lowerCAmelCase				:					Vector ) ->      VectorOut:






    """simple docstring"""




    return np.sqrt(np.sum((np.asarray(lowerCAmelCase ) - np.asarray(lowerCAmelCase )) ** 2 ) )

def     lowercase__						(					lowerCAmelCase				:					Vector ,				lowerCAmelCase				:					Vector ) ->      VectorOut:






    """simple docstring"""




    return sum((va - va) ** 2 for va, va in zip(lowerCAmelCase ,				lowerCAmelCase ) ) ** (1 / 2)


if __name__ == "__main__":

   def     lowercase__						(					) ->      None:






       """simple docstring"""




       from timeit import timeit

       print('Without Numpy' )
       print(
           timeit(
               'euclidean_distance_no_np([1, 2, 3], [4, 5, 6])' ,				number=10_000 ,				globals=globals() ,				) )
       print('With Numpy' )
       print(
           timeit(
               'euclidean_distance([1, 2, 3], [4, 5, 6])' ,				number=10_000 ,				globals=globals() ,				) )







   benchmark()





"""simple docstring"""

import json
import os
from typing import Optional, Tuple

import regex as re

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


SCREAMING_SNAKE_CASE_    					=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_    					=						{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

SCREAMING_SNAKE_CASE_    					=						{
    '''vocab_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'''},
    '''merges_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'''},
}

SCREAMING_SNAKE_CASE_    					=						{
    '''ctrl''': 256,
}

SCREAMING_SNAKE_CASE_    					=						{
    '''Pregnancy''': 16_8629,
    '''Christianity''': 7675,
    '''Explain''': 10_6423,
    '''Fitness''': 6_3440,
    '''Saving''': 6_3163,
    '''Ask''': 2_7171,
    '''Ass''': 9_5985,
    '''Joke''': 16_3509,
    '''Questions''': 4_5622,
    '''Thoughts''': 4_9605,
    '''Retail''': 5_2342,
    '''Feminism''': 16_4338,
    '''Writing''': 1_1992,
    '''Atheism''': 19_2263,
    '''Netflix''': 4_8616,
    '''Computing''': 3_9639,
    '''Opinion''': 4_3213,
    '''Alone''': 4_4967,
    '''Funny''': 5_8917,
    '''Gaming''': 4_0358,
    '''Human''': 4088,
    '''India''': 1331,
    '''Joker''': 7_7138,
    '''Diet''': 3_6206,
    '''Legal''': 1_1859,
    '''Norman''': 4939,
    '''Tip''': 7_2689,
    '''Weight''': 5_2343,
    '''Movies''': 4_6273,
    '''Running''': 2_3425,
    '''Science''': 2090,
    '''Horror''': 3_7793,
    '''Confession''': 6_0572,
    '''Finance''': 1_2250,
    '''Politics''': 1_6360,
    '''Scary''': 19_1985,
    '''Support''': 1_2654,
    '''Technologies''': 3_2516,
    '''Teenage''': 6_6160,
    '''Event''': 3_2769,
    '''Learned''': 6_7460,
    '''Notion''': 18_2770,
    '''Wikipedia''': 3_7583,
    '''Books''': 6665,
    '''Extract''': 7_6050,
    '''Confessions''': 10_2701,
    '''Conspiracy''': 7_5932,
    '''Links''': 6_3674,
    '''Narcissus''': 15_0425,
    '''Relationship''': 5_4766,
    '''Relationships''': 13_4796,
    '''Reviews''': 4_1671,
    '''News''': 4256,
    '''Translation''': 2_6820,
    '''multilingual''': 12_8406,
}




def     lowercase__						(					lowerCAmelCase				:					int ) ->      int:






    """simple docstring"""




    UpperCAmelCase									=					set()
    UpperCAmelCase									=					word[0]
    for char in word[1:]:
        pairs.add((prev_char, char) )
        UpperCAmelCase									=					char

    UpperCAmelCase									=					set(lowerCAmelCase )
    return pairs







class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_							):
      __SCREAMING_SNAKE_CASE   :							Optional[Any]							      =	VOCAB_FILES_NAMES
      __SCREAMING_SNAKE_CASE   :							List[str]							      =	PRETRAINED_VOCAB_FILES_MAP
      __SCREAMING_SNAKE_CASE   :							List[Any]							      =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __SCREAMING_SNAKE_CASE   :							Union[str, Any]							      =	CONTROL_CODES




      def __init__(							self   ,       lowercase_   ,       lowercase_   ,       lowercase_="<unk>"   ,       **lowercase_							)						->					Optional[int]:
          super().__init__(unk_token=lowercase_   ,       **lowercase_							)

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




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




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




      def     a_      (							self   ,       lowercase_							)						->					int:
          if token in self.cache:
              return self.cache[token]
          UpperCAmelCase									=					tuple(lowercase_							)
          UpperCAmelCase									=					tuple(list(word[:-1]							) + [word[-1] + '</w>']							)
          UpperCAmelCase									=					get_pairs(lowercase_							)

          if not pairs:
              return token

          while True:
              UpperCAmelCase									=					min(lowercase_   ,       key=lambda lowercase_							: self.bpe_ranks.get(lowercase_   ,       float('inf'							)							)							)
              if bigram not in self.bpe_ranks:
                  break
              UpperCAmelCase			,							UpperCAmelCase									=					bigram
              UpperCAmelCase									=					[]
              UpperCAmelCase									=					0
              while i < len(lowercase_							):
                  try:
                      UpperCAmelCase									=					word.index(lowercase_   ,       lowercase_							)
                  except ValueError:
                      new_word.extend(word[i:]							)
                      break
                  else:
                      new_word.extend(word[i:j]							)
                      UpperCAmelCase									=					j

                  if word[i] == first and i < len(lowercase_							) - 1 and word[i + 1] == second:
                      new_word.append(first + second							)
                      i += 2
                  else:
                      new_word.append(word[i]							)
                      i += 1
              UpperCAmelCase									=					tuple(lowercase_							)
              UpperCAmelCase									=					new_word
              if len(lowercase_							) == 1:
                  break
              else:
                  UpperCAmelCase									=					get_pairs(lowercase_							)
          UpperCAmelCase									=					'@@ '.join(lowercase_							)
          UpperCAmelCase									=					word[:-4]
          UpperCAmelCase									=					word
          return word




      def     a_      (							self   ,       lowercase_							)						->					List[Any]:
          UpperCAmelCase									=					[]

          UpperCAmelCase									=					re.findall(R'\S+\n?'   ,       lowercase_							)

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




      def     a_      (							self   ,       lowercase_							)						->					Tuple:
          return self.encoder.get(lowercase_   ,       self.encoder.get(self.unk_token							)							)




      def     a_      (							self   ,       lowercase_							)						->					Optional[Any]:
          return self.decoder.get(lowercase_   ,       self.unk_token							)




      def     a_      (							self   ,       lowercase_							)						->					str:
          UpperCAmelCase									=					' '.join(lowercase_							).replace('@@ '   ,       ''							).strip()
          return out_string




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

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

          UpperCAmelCase									=					0
          with open(lowercase_   ,       '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 lowercase_							: 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									=					token_index
                  writer.write(' '.join(lowercase_							) + '\n'							)
                  index += 1

          return vocab_file, merge_file

      # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
      #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
      #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
      #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
      #     return ''.join(tokens_generated_so_far)



