





import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation

__A							:			Any         =			logging.get_logger(__name__)


__A							:			List[str]         =			{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

__A							:			List[str]         =			{
    "vocab_file": {"facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json"},
    "merges_file": {"facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt"},
    "tokenizer_config_file": {
        "facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json"
    },
}

__A							:			Union[str, Any]         =			{"facebook/blenderbot-3B": 128}





@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 				__lowerCAmelCase(       )							-> List[str]:




    """simple docstring"""




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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> List[str]:




    """simple docstring"""




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







class      lowerCamelCase(						__snake_case	):
     '''simple docstring'''


     __magic_name__   =			VOCAB_FILES_NAMES
     __magic_name__   =			PRETRAINED_VOCAB_FILES_MAP
     __magic_name__   =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __magic_name__   =			['input_ids', 'attention_mask']




     def __init__(    self				,     snake_case_				,     snake_case_				,     snake_case_="replace"				,     snake_case_="<s>"				,     snake_case_="</s>"				,     snake_case_="</s>"				,     snake_case_="<s>"				,     snake_case_="<unk>"				,     snake_case_="<pad>"				,     snake_case_="<mask>"				,     snake_case_=False				,     **snake_case_				,     ):
         _A     =							AddedToken(snake_case_				,     lstrip=snake_case_				,     rstrip=snake_case_							) if isinstance(snake_case_				,     snake_case_							) else bos_token
         _A     =							AddedToken(snake_case_				,     lstrip=snake_case_				,     rstrip=snake_case_							) if isinstance(snake_case_				,     snake_case_							) else eos_token
         _A     =							AddedToken(snake_case_				,     lstrip=snake_case_				,     rstrip=snake_case_							) if isinstance(snake_case_				,     snake_case_							) else sep_token
         _A     =							AddedToken(snake_case_				,     lstrip=snake_case_				,     rstrip=snake_case_							) if isinstance(snake_case_				,     snake_case_							) else cls_token
         _A     =							AddedToken(snake_case_				,     lstrip=snake_case_				,     rstrip=snake_case_							) if isinstance(snake_case_				,     snake_case_							) else unk_token
         _A     =							AddedToken(snake_case_				,     lstrip=snake_case_				,     rstrip=snake_case_							) if isinstance(snake_case_				,     snake_case_							) else pad_token

         # Mask token behave like a normal word, i.e. include the space before it
         _A     =							AddedToken(snake_case_				,     lstrip=snake_case_				,     rstrip=snake_case_							) if isinstance(snake_case_				,     snake_case_							) else mask_token

         super().__init__(
             errors=snake_case_				,     bos_token=snake_case_				,     eos_token=snake_case_				,     unk_token=snake_case_				,     sep_token=snake_case_				,     cls_token=snake_case_				,     pad_token=snake_case_				,     mask_token=snake_case_				,     add_prefix_space=snake_case_				,     **snake_case_				,     )

         with open(snake_case_				,     encoding='utf-8'							) as vocab_handle:
             _A     =							json.load(snake_case_							)
         _A     =							{v: k for k, v in self.encoder.items()}
         _A     =							errors  # how to handle errors in decoding
         _A     =							bytes_to_unicode()
         _A     =							{v: k for k, v in self.byte_encoder.items()}
         with open(snake_case_				,     encoding='utf-8'							) as merges_handle:
             _A     =							merges_handle.read().split('\n'							)[1:-1]
         _A     =							[tuple(merge.split()							) for merge in bpe_merges]
         _A     =							dict(zip(snake_case_				,     range(len(snake_case_							)							)							)							)
         _A     =							{}
         _A     =							add_prefix_space

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




     @property
     # Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
     def        lowerCAmelCase__		(    self							):
         return len(self.encoder							)




     def        lowerCAmelCase__		(    self							):
         return dict(self.encoder				,     **self.added_tokens_encoder							)




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         if token in self.cache:
             return self.cache[token]
         _A     =							tuple(snake_case_							)
         _A     =							get_pairs(snake_case_							)

         if not pairs:
             return token

         while True:
             _A     =							min(snake_case_				,     key=lambda snake_case_							: self.bpe_ranks.get(snake_case_				,     float('inf'							)							)							)
             if bigram not in self.bpe_ranks:
                 break
             _A,			_A     =							bigram
             _A     =							[]
             _A     =							0
             while i < len(snake_case_							):
                 try:
                     _A     =							word.index(snake_case_				,     snake_case_							)
                 except ValueError:
                     new_word.extend(word[i:]							)
                     break
                 else:
                     new_word.extend(word[i:j]							)
                     _A     =							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
             _A     =							tuple(snake_case_							)
             _A     =							new_word
             if len(snake_case_							) == 1:
                 break
             else:
                 _A     =							get_pairs(snake_case_							)
         _A     =							' '.join(snake_case_							)
         _A     =							word
         return word




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         _A     =							[]
         for token in re.findall(self.pat				,     snake_case_							):
             _A     =							''.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				,     snake_case_							):
         return self.encoder.get(snake_case_				,     self.encoder.get(self.unk_token							)							)




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         return self.decoder.get(snake_case_							)




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         _A     =							''.join(snake_case_							)
         _A     =							bytearray([self.byte_decoder[c] for c in text]							).decode('utf-8'				,     errors=self.errors							)
         return text




     def        lowerCAmelCase__		(    self				,     snake_case_				,     snake_case_ = None							):
         if not os.path.isdir(snake_case_							):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"							)
             return
         _A     =							os.path.join(
             snake_case_				,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)
         _A     =							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'							)

         _A     =							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!'							)
                     _A     =							token_index
                 writer.write(' '.join(snake_case_							) + '\n'							)
                 index += 1

         return vocab_file, merge_file




     def        lowerCAmelCase__		(    self				,     snake_case_				,     snake_case_ = None				,     snake_case_ = False							):
         if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=snake_case_				,     token_ids_a=snake_case_				,     already_has_special_tokens=snake_case_							)

         if token_ids_a is None:
             return [1] + ([0] * len(snake_case_							)) + [1]
         return [1] + ([0] * len(snake_case_							)) + [1, 1] + ([0] * len(snake_case_							)) + [1]




     def        lowerCAmelCase__		(    self				,     snake_case_				,     snake_case_ = None							):
         _A     =							[self.sep_token_id]
         _A     =							[self.cls_token_id]

         if token_ids_a is None:
             return len(cls + token_ids_a + sep							) * [0]
         return len(cls + token_ids_a + sep + sep + token_ids_a + sep							) * [0]




     def        lowerCAmelCase__		(    self				,     snake_case_				,     snake_case_=False				,     **snake_case_							):
         _A     =							kwargs.pop('add_prefix_space'				,     self.add_prefix_space							)
         if (is_split_into_words or add_prefix_space) and (len(snake_case_							) > 0 and not text[0].isspace()):
             _A     =							' ' + text
         return (text, kwargs)




     def        lowerCAmelCase__		(    self				,     snake_case_				,     snake_case_ = None							):
         return token_ids_a + [self.eos_token_id]




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         _A     =							[]
         for is_user, text in conversation.iter_texts():
             if is_user:
                 # We need to space prefix as it's being done within blenderbot
                 inputs.append(' ' + text							)
             else:
                 # Generated responses should contain them already.
                 inputs.append(snake_case_							)

         _A     =							'  '.join(snake_case_							)
         _A     =							self.encode(snake_case_							)
         if len(snake_case_							) > self.model_max_length:
             _A     =							input_ids[-self.model_max_length :]
             logger.warning(F"Trimmed input from conversation as it was longer than {self.model_max_length} tokens."							)
         return input_ids












from __future__ import annotations

from fractions import Fraction
from math import gcd, sqrt





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> bool:




    """simple docstring"""




    _A     =							int(number**0.5				)
    return number == sq * sq





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> tuple[int, int]:




    """simple docstring"""




    _A     =							x_num * y_den * z_den + y_num * x_den * z_den + z_num * x_den * y_den
    _A     =							x_den * y_den * z_den
    _A     =							gcd(_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
    top //= hcf
    bottom //= hcf
    return top, bottom





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE = 35				)							-> int:




    """simple docstring"""




    _A     =							set()
    _A     =							42
    _A     =							Fraction(0				)
    _A     =							42

    for x_num in range(1							,     order + 1				):
        for x_den in range(x_num + 1							,     order + 1				):
            for y_num in range(1							,     order + 1				):
                for y_den in range(y_num + 1							,     order + 1				):
                    # n=1
                    _A     =							x_num * y_den + x_den * y_num
                    _A     =							x_den * y_den
                    _A     =							gcd(_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
                    z_num //= hcf
                    z_den //= hcf
                    if 0 < z_num < z_den <= order:
                        _A     =							add_three(
                            _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
                        unique_s.add(_SCREAMING_SNAKE_CASE				)

                    # n=2
                    _A     =							(
                        x_num * x_num * y_den * y_den + x_den * x_den * y_num * y_num
                    )
                    _A     =							x_den * x_den * y_den * y_den
                    if is_sq(_SCREAMING_SNAKE_CASE				) and is_sq(_SCREAMING_SNAKE_CASE				):
                        _A     =							int(sqrt(_SCREAMING_SNAKE_CASE				)				)
                        _A     =							int(sqrt(_SCREAMING_SNAKE_CASE				)				)
                        _A     =							gcd(_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
                        z_num //= hcf
                        z_den //= hcf
                        if 0 < z_num < z_den <= order:
                            _A     =							add_three(
                                _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
                            unique_s.add(_SCREAMING_SNAKE_CASE				)

                    # n=-1
                    _A     =							x_num * y_num
                    _A     =							x_den * y_num + x_num * y_den
                    _A     =							gcd(_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
                    z_num //= hcf
                    z_den //= hcf
                    if 0 < z_num < z_den <= order:
                        _A     =							add_three(
                            _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
                        unique_s.add(_SCREAMING_SNAKE_CASE				)

                    # n=2
                    _A     =							x_num * x_num * y_num * y_num
                    _A     =							(
                        x_den * x_den * y_num * y_num + x_num * x_num * y_den * y_den
                    )
                    if is_sq(_SCREAMING_SNAKE_CASE				) and is_sq(_SCREAMING_SNAKE_CASE				):
                        _A     =							int(sqrt(_SCREAMING_SNAKE_CASE				)				)
                        _A     =							int(sqrt(_SCREAMING_SNAKE_CASE				)				)
                        _A     =							gcd(_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
                        z_num //= hcf
                        z_den //= hcf
                        if 0 < z_num < z_den <= order:
                            _A     =							add_three(
                                _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
                            unique_s.add(_SCREAMING_SNAKE_CASE				)

    for num, den in unique_s:
        total += Fraction(_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)

    return total.denominator + total.numerator


if __name__ == "__main__":
 print(f"{solution() = }")





