



"""simple docstring"""






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

import regex as re

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


lowerCAmelCase__      =    logging.get_logger(__name__)


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

lowerCAmelCase__      =    {
    '''vocab_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
    },
}

lowerCAmelCase__      =    {
    '''allenai/longformer-base-4096''': 4096,
    '''allenai/longformer-large-4096''': 4096,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4096,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4096,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4096,
}






@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 	snake_case_  (				):


       '''simple docstring'''





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






def 	snake_case_  (				A_ :		Optional[Any]						):


       '''simple docstring'''





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







class 	__snake_case	(     __lowerCamelCase):
  snake_case__    :       Optional[int]        =						VOCAB_FILES_NAMES
  snake_case__    :       Optional[Any]        =						PRETRAINED_VOCAB_FILES_MAP
  snake_case__    :       List[Any]        =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  snake_case__    :       int        =						['input_ids', 'attention_mask']




  def __init__(			self					:						Tuple						, __lowerCAmelCase					:						List[str]						, __lowerCAmelCase					:						Union[str, Any]						, __lowerCAmelCase					:						List[str]="replace"						, __lowerCAmelCase					:						str="<s>"						, __lowerCAmelCase					:						Dict="</s>"						, __lowerCAmelCase					:						Optional[Any]="</s>"						, __lowerCAmelCase					:						Any="<s>"						, __lowerCAmelCase					:						Optional[Any]="<unk>"						, __lowerCAmelCase					:						int="<pad>"						, __lowerCAmelCase					:						Tuple="<mask>"						, __lowerCAmelCase					:						str=False						, **__lowerCAmelCase					:						Any						, ):






         """simple docstring"""






         _lowerCamelCase						:    Tuple         =			AddedToken(UpperCamelCase_						, lstrip=UpperCamelCase_						, rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_						, UpperCamelCase_		) else bos_token
         _lowerCamelCase						:    List[str]         =			AddedToken(UpperCamelCase_						, lstrip=UpperCamelCase_						, rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_						, UpperCamelCase_		) else eos_token
         _lowerCamelCase						:    Union[str, Any]         =			AddedToken(UpperCamelCase_						, lstrip=UpperCamelCase_						, rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_						, UpperCamelCase_		) else sep_token
         _lowerCamelCase						:    str         =			AddedToken(UpperCamelCase_						, lstrip=UpperCamelCase_						, rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_						, UpperCamelCase_		) else cls_token
         _lowerCamelCase						:    Tuple         =			AddedToken(UpperCamelCase_						, lstrip=UpperCamelCase_						, rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_						, UpperCamelCase_		) else unk_token
         _lowerCamelCase						:    Dict         =			AddedToken(UpperCamelCase_						, lstrip=UpperCamelCase_						, rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_						, UpperCamelCase_		) else pad_token

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

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

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

         # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
         _lowerCamelCase						:    Union[str, 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 						SCREAMING_SNAKE_CASE    (			self					:						Tuple		):






         """simple docstring"""






         return len(self.encoder		)




  def 						SCREAMING_SNAKE_CASE    (			self					:						Optional[int]		):






         """simple docstring"""






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




  def 						SCREAMING_SNAKE_CASE    (			self					:						Tuple						, __lowerCAmelCase					:						Any		):






         """simple docstring"""






         if token in self.cache:
                return self.cache[token]
         _lowerCamelCase						:    Tuple         =			tuple(UpperCamelCase_		)
         _lowerCamelCase						:    List[Any]         =			get_pairs(UpperCamelCase_		)

         if not pairs:
                return token

         while True:
                _lowerCamelCase						:    Optional[Any]         =			min(UpperCamelCase_						, key=lambda __lowerCAmelCase		: self.bpe_ranks.get(UpperCamelCase_						, float('''inf'''		)		)		)
                if bigram not in self.bpe_ranks:
                       break
                _lowerCamelCase      ,   _lowerCamelCase						:    List[str]         =			bigram
                _lowerCamelCase						:    Optional[Any]         =			[]
                _lowerCamelCase						:    List[Any]         =			0
                while i < len(UpperCamelCase_		):
                       try:
                              _lowerCamelCase						:    List[Any]         =			word.index(UpperCamelCase_						, UpperCamelCase_		)
                       except ValueError:
                              new_word.extend(word[i:]		)
                              break
                       else:
                              new_word.extend(word[i:j]		)
                              _lowerCamelCase						:    Tuple         =			j

                       if word[i] == first and i < len(UpperCamelCase_		) - 1 and word[i + 1] == second:
                              new_word.append(first + second		)
                              i += 2
                       else:
                              new_word.append(word[i]		)
                              i += 1
                _lowerCamelCase						:    Optional[Any]         =			tuple(UpperCamelCase_		)
                _lowerCamelCase						:    str         =			new_word
                if len(UpperCamelCase_		) == 1:
                       break
                else:
                       _lowerCamelCase						:    int         =			get_pairs(UpperCamelCase_		)
         _lowerCamelCase						:    List[str]         =			''' '''.join(UpperCamelCase_		)
         _lowerCamelCase						:    List[str]         =			word
         return word




  def 						SCREAMING_SNAKE_CASE    (			self					:						Tuple						, __lowerCAmelCase					:						int		):






         """simple docstring"""






         _lowerCamelCase						:    Any         =			[]
         for token in re.findall(self.pat						, UpperCamelCase_		):
                _lowerCamelCase						:    Tuple         =			''''''.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(UpperCamelCase_		).split(''' '''		)		)
         return bpe_tokens




  def 						SCREAMING_SNAKE_CASE    (			self					:						List[str]						, __lowerCAmelCase					:						Any		):






         """simple docstring"""






         return self.encoder.get(UpperCamelCase_						, self.encoder.get(self.unk_token		)		)




  def 						SCREAMING_SNAKE_CASE    (			self					:						Optional[int]						, __lowerCAmelCase					:						Tuple		):






         """simple docstring"""






         return self.decoder.get(UpperCamelCase_		)




  def 						SCREAMING_SNAKE_CASE    (			self					:						int						, __lowerCAmelCase					:						Optional[Any]		):






         """simple docstring"""






         _lowerCamelCase						:    List[str]         =			''''''.join(UpperCamelCase_		)
         _lowerCamelCase						:    List[Any]         =			bytearray([self.byte_decoder[c] for c in text]		).decode('''utf-8'''						, errors=self.errors		)
         return text




  def 						SCREAMING_SNAKE_CASE    (			self					:						Optional[Any]						, __lowerCAmelCase					:						str						, __lowerCAmelCase					:						Optional[str] = None		):






         """simple docstring"""






         if not os.path.isdir(UpperCamelCase_		):
                logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''		)
                return
         _lowerCamelCase						:    Union[str, Any]         =			os.path.join(
             UpperCamelCase_						, (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
         _lowerCamelCase						:    Optional[Any]         =			os.path.join(
             UpperCamelCase_						, (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']		)

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

         _lowerCamelCase						:    Dict         =			0
         with open(UpperCamelCase_						, '''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 __lowerCAmelCase		: 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!'''		)
                              _lowerCamelCase						:    str         =			token_index
                       writer.write(''' '''.join(UpperCamelCase_		) + '''\n'''		)
                       index += 1

         return vocab_file, merge_file




  def 						SCREAMING_SNAKE_CASE    (			self					:						Dict						, __lowerCAmelCase					:						List[int]						, __lowerCAmelCase					:						Optional[List[int]] = None		):






         """simple docstring"""






         if token_ids_a is None:
                return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         _lowerCamelCase						:    int         =			[self.cls_token_id]
         _lowerCamelCase						:    List[str]         =			[self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep




  def 						SCREAMING_SNAKE_CASE    (			self					:						Optional[Any]						, __lowerCAmelCase					:						List[int]						, __lowerCAmelCase					:						Optional[List[int]] = None						, __lowerCAmelCase					:						bool = False		):






         """simple docstring"""






         if already_has_special_tokens:
                return super().get_special_tokens_mask(
                    token_ids_a=UpperCamelCase_						, token_ids_a=UpperCamelCase_						, already_has_special_tokens=UpperCamelCase_		)

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




  def 						SCREAMING_SNAKE_CASE    (			self					:						Tuple						, __lowerCAmelCase					:						List[int]						, __lowerCAmelCase					:						Optional[List[int]] = None		):






         """simple docstring"""






         _lowerCamelCase						:    List[str]         =			[self.sep_token_id]
         _lowerCamelCase						:    Any         =			[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 						SCREAMING_SNAKE_CASE    (			self					:						Any						, __lowerCAmelCase					:						Tuple						, __lowerCAmelCase					:						int=False						, **__lowerCAmelCase					:						Dict		):






         """simple docstring"""






         _lowerCamelCase						:    List[Any]         =			kwargs.pop('''add_prefix_space'''						, self.add_prefix_space		)
         if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase_		) > 0 and not text[0].isspace()):
                _lowerCamelCase						:    int         =			''' ''' + text
         return (text, kwargs)







"""simple docstring"""






import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin






class 	__snake_case	(     _lowercase  ,					unittest.TestCase):
  snake_case__    :       Optional[int]        =						BlenderbotSmallTokenizer
  snake_case__    :       List[str]        =						False




  def 						SCREAMING_SNAKE_CASE    (			self					:						Dict		):






         """simple docstring"""






         super().setUp()

         _lowerCamelCase						:    str         =			['''__start__''', '''adapt''', '''act''', '''ap@@''', '''te''', '''__end__''', '''__unk__''']
         _lowerCamelCase						:    Any         =			dict(zip(__lowerCAmelCase						, range(len(__lowerCAmelCase		)		)		)		)

         _lowerCamelCase						:    Any         =			['''#version: 0.2''', '''a p''', '''t e</w>''', '''ap t</w>''', '''a d''', '''ad apt</w>''', '''a c''', '''ac t</w>''', '''''']
         _lowerCamelCase						:    List[str]         =			{'''unk_token''': '''__unk__''', '''bos_token''': '''__start__''', '''eos_token''': '''__end__'''}

         _lowerCamelCase						:    Dict         =			os.path.join(self.tmpdirname						, VOCAB_FILES_NAMES['''vocab_file''']		)
         _lowerCamelCase						:    List[str]         =			os.path.join(self.tmpdirname						, VOCAB_FILES_NAMES['''merges_file''']		)
         with open(self.vocab_file						, '''w'''						, encoding='''utf-8'''		) as fp:
                fp.write(json.dumps(__lowerCAmelCase		) + '''\n'''		)
         with open(self.merges_file						, '''w'''						, encoding='''utf-8'''		) as fp:
                fp.write('''\n'''.join(__lowerCAmelCase		)		)




  def 						SCREAMING_SNAKE_CASE    (			self					:						Tuple						, **__lowerCAmelCase					:						List[str]		):






         """simple docstring"""






         kwargs.update(self.special_tokens_map		)
         return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname						, **__lowerCAmelCase		)




  def 						SCREAMING_SNAKE_CASE    (			self					:						List[Any]						, __lowerCAmelCase					:						List[str]		):






         """simple docstring"""






         _lowerCamelCase						:    int         =			'''adapt act apte'''
         _lowerCamelCase						:    Tuple         =			'''adapt act apte'''
         return input_text, output_text




  def 						SCREAMING_SNAKE_CASE    (			self					:						int		):






         """simple docstring"""






         _lowerCamelCase						:    Tuple         =			BlenderbotSmallTokenizer(self.vocab_file						, self.merges_file						, **self.special_tokens_map		)
         _lowerCamelCase						:    int         =			'''adapt act apte'''
         _lowerCamelCase						:    Optional[Any]         =			['''adapt''', '''act''', '''ap@@''', '''te''']
         _lowerCamelCase						:    Optional[Any]         =			tokenizer.tokenize(__lowerCAmelCase		)
         self.assertListEqual(__lowerCAmelCase						, __lowerCAmelCase		)

         _lowerCamelCase						:    List[Any]         =			[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

         _lowerCamelCase						:    Dict         =			[0, 1, 2, 3, 4, 5]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase		)						, __lowerCAmelCase		)




  def 						SCREAMING_SNAKE_CASE    (			self					:						List[str]		):






         """simple docstring"""






         _lowerCamelCase						:    str         =			BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''		)
         assert tok('''sam'''		).input_ids == [1_3_8_4]
         _lowerCamelCase						:    List[str]         =			'''I am a small frog.'''
         _lowerCamelCase						:    str         =			tok([src_text]						, padding=__lowerCAmelCase						, truncation=__lowerCAmelCase		)['''input_ids''']
         _lowerCamelCase						:    Any         =			tok.batch_decode(__lowerCAmelCase						, skip_special_tokens=__lowerCAmelCase						, clean_up_tokenization_spaces=__lowerCAmelCase		)[0]
         assert src_text != decoded  # I wish it did!
         assert decoded == "i am a small frog ."




  def 						SCREAMING_SNAKE_CASE    (			self					:						Any		):






         """simple docstring"""






         _lowerCamelCase						:    Union[str, Any]         =			BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''		)
         _lowerCamelCase						:    Optional[Any]         =			'''I am a small frog .'''
         _lowerCamelCase						:    str         =			'''.'''
         _lowerCamelCase						:    str         =			tok(__lowerCAmelCase		)['''input_ids''']
         _lowerCamelCase						:    Dict         =			tok(__lowerCAmelCase		)['''input_ids''']

         assert encoded[-1] == encoded_dot[0]


