




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_  :	Optional[int] 				=					logging.get_logger(__name__)


lowerCamelCase_  :	Optional[int] 				=					{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

lowerCamelCase_  :	List[str] 				=					{
    """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_  :	List[Any] 				=					{
    """allenai/longformer-base-4096""": 40_96,
    """allenai/longformer-large-4096""": 40_96,
    """allenai/longformer-large-4096-finetuned-triviaqa""": 40_96,
    """allenai/longformer-base-4096-extra.pos.embd.only""": 40_96,
    """allenai/longformer-large-4096-extra.pos.embd.only""": 40_96,
}







@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def     A__   (  )					->		str:
				UpperCamelCase_:							List[Any]		=  (
				    list(range(ord("""!"""  )       ,      ord("""~"""  ) + 1  )  ) + list(range(ord("""¡"""  )       ,      ord("""¬"""  ) + 1  )  ) + list(range(ord("""®"""  )       ,      ord("""ÿ"""  ) + 1  )  )
				)
				UpperCamelCase_:							List[Any]		=  bs[:]
				UpperCamelCase_:							Optional[int]		=  0
				for b in range(2**8  ):
								if b not in bs:
												bs.append(__lowerCAmelCase  )
												cs.append(2**8 + n  )
												n += 1
				UpperCamelCase_:							Any		=  [chr(__lowerCAmelCase  ) for n in cs]
				return dict(zip(__lowerCAmelCase       ,      __lowerCAmelCase  )  )







def     A__   (  lowerCamelCase  )					->		List[Any]:
				UpperCamelCase_:							Optional[Any]		=  set()
				UpperCamelCase_:							Optional[Any]		=  word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)  )
								UpperCamelCase_:							str		=  char
				return pairs





class     _UpperCamelCase			(   __lowerCamelCase					):






			'''simple docstring'''

			__UpperCamelCase :  List[Any]    =	VOCAB_FILES_NAMES
			__UpperCamelCase :  Optional[Any]    =	PRETRAINED_VOCAB_FILES_MAP
			__UpperCamelCase :  Dict    =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__UpperCamelCase :  Any    =	["""input_ids""", """attention_mask"""]

			def __init__(    self	:    Any  ,		snake_case_	:    int  ,		snake_case_	:    List[Any]  ,		snake_case_	:    str="replace"  ,		snake_case_	:    int="<s>"  ,		snake_case_	:    Dict="</s>"  ,		snake_case_	:    Tuple="</s>"  ,		snake_case_	:    List[Any]="<s>"  ,		snake_case_	:    Any="<unk>"  ,		snake_case_	:    Dict="<pad>"  ,		snake_case_	:    Dict="<mask>"  ,		snake_case_	:    str=False  ,		**snake_case_	:    List[Any]  ,		):
							UpperCamelCase_:							Optional[Any]		=  AddedToken(__lowercase  ,		lstrip=__lowercase  ,		rstrip=__lowercase ) if isinstance(__lowercase  ,		__lowercase ) else bos_token
							UpperCamelCase_:							Dict		=  AddedToken(__lowercase  ,		lstrip=__lowercase  ,		rstrip=__lowercase ) if isinstance(__lowercase  ,		__lowercase ) else eos_token
							UpperCamelCase_:							str		=  AddedToken(__lowercase  ,		lstrip=__lowercase  ,		rstrip=__lowercase ) if isinstance(__lowercase  ,		__lowercase ) else sep_token
							UpperCamelCase_:							Union[str, Any]		=  AddedToken(__lowercase  ,		lstrip=__lowercase  ,		rstrip=__lowercase ) if isinstance(__lowercase  ,		__lowercase ) else cls_token
							UpperCamelCase_:							str		=  AddedToken(__lowercase  ,		lstrip=__lowercase  ,		rstrip=__lowercase ) if isinstance(__lowercase  ,		__lowercase ) else unk_token
							UpperCamelCase_:							Tuple		=  AddedToken(__lowercase  ,		lstrip=__lowercase  ,		rstrip=__lowercase ) if isinstance(__lowercase  ,		__lowercase ) else pad_token

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

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

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

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

			@property
			def  lowerCAmelCase__		(    self	:    List[str] ):
							return len(self.encoder )

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

			def  lowerCAmelCase__		(    self	:    Optional[Any]  ,		snake_case_	:    Union[str, Any] ):
							if token in self.cache:
											return self.cache[token]
							UpperCamelCase_:							int		=  tuple(__lowercase )
							UpperCamelCase_:							List[Any]		=  get_pairs(__lowercase )

							if not pairs:
											return token

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

			def  lowerCAmelCase__		(    self	:    Optional[int]  ,		snake_case_	:    Any ):
							UpperCamelCase_:							List[Any]		=  []
							for token in re.findall(self.pat  ,		__lowercase ):
											UpperCamelCase_:							Dict		=  ''''''.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(__lowercase ).split(""" """ ) )
							return bpe_tokens

			def  lowerCAmelCase__		(    self	:    List[Any]  ,		snake_case_	:    Optional[int] ):
							return self.encoder.get(__lowercase  ,		self.encoder.get(self.unk_token ) )

			def  lowerCAmelCase__		(    self	:    Optional[Any]  ,		snake_case_	:    Tuple ):
							return self.decoder.get(__lowercase )

			def  lowerCAmelCase__		(    self	:    int  ,		snake_case_	:    Tuple ):
							UpperCamelCase_:							Optional[int]		=  ''''''.join(__lowercase )
							UpperCamelCase_:							List[Any]		=  bytearray([self.byte_decoder[c] for c in text] ).decode("""utf-8"""  ,		errors=self.errors )
							return text

			def  lowerCAmelCase__		(    self	:    Tuple  ,		snake_case_	:    str  ,		snake_case_	:    Optional[str] = None ):
							if not os.path.isdir(__lowercase ):
											logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
											return
							UpperCamelCase_:							Optional[Any]		=  os.path.join(
							    __lowercase  ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )
							UpperCamelCase_:							Optional[Any]		=  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_:							Tuple		=  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 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!""" )
																			UpperCamelCase_:							List[Any]		=  token_index
															writer.write(""" """.join(__lowercase ) + """\n""" )
															index += 1

							return vocab_file, merge_file

			def  lowerCAmelCase__		(    self	:    List[str]  ,		snake_case_	:    List[int]  ,		snake_case_	:    Optional[List[int]] = None ):
							if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							UpperCamelCase_:							Optional[int]		=  [self.cls_token_id]
							UpperCamelCase_:							str		=  [self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep

			def  lowerCAmelCase__		(    self	:    str  ,		snake_case_	:    List[int]  ,		snake_case_	:    Optional[List[int]] = None  ,		snake_case_	:    bool = False ):
							if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=__lowercase  ,		token_ids_a=__lowercase  ,		already_has_special_tokens=__lowercase )

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

			def  lowerCAmelCase__		(    self	:    List[str]  ,		snake_case_	:    List[int]  ,		snake_case_	:    Optional[List[int]] = None ):
							UpperCamelCase_:							List[str]		=  [self.sep_token_id]
							UpperCamelCase_:							Tuple		=  [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	:    Any  ,		snake_case_	:    List[str]  ,		snake_case_	:    Tuple=False  ,		**snake_case_	:    Any ):
							UpperCamelCase_:							Tuple		=  kwargs.pop("""add_prefix_space"""  ,		self.add_prefix_space )
							if (is_split_into_words or add_prefix_space) and (len(__lowercase ) > 0 and not text[0].isspace()):
											UpperCamelCase_:							Optional[Any]		=  ''' ''' + text
							return (text, kwargs)








import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin

class     _UpperCamelCase			(   _A       ,    unittest.TestCase					):






			'''simple docstring'''

			__UpperCamelCase :  Tuple    =	CTRLTokenizer
			__UpperCamelCase :  int    =	False
			__UpperCamelCase :  List[str]    =	False

			def  lowerCAmelCase__		(    self	:    List[str] ):
							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							UpperCamelCase_:							int		=  ["""adapt""", """re@@""", """a@@""", """apt""", """c@@""", """t""", """<unk>"""]
							UpperCamelCase_:							int		=  dict(zip(snake_case_  ,		range(len(snake_case_ ) ) ) )
							UpperCamelCase_:							Union[str, Any]		=  ["""#version: 0.2""", """a p""", """ap t</w>""", """r e""", """a d""", """ad apt</w>""", """"""]
							UpperCamelCase_:							Tuple		=  {"""unk_token""": """<unk>"""}

							UpperCamelCase_:							Optional[Any]		=  os.path.join(self.tmpdirname  ,		VOCAB_FILES_NAMES["""vocab_file"""] )
							UpperCamelCase_:							Dict		=  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(snake_case_ ) + """\n""" )
							with open(self.merges_file  ,		"""w"""  ,		encoding="""utf-8""" ) as fp:
											fp.write("""\n""".join(snake_case_ ) )

			def  lowerCAmelCase__		(    self	:    Optional[int]  ,		**snake_case_	:    int ):
							kwargs.update(self.special_tokens_map )
							return CTRLTokenizer.from_pretrained(self.tmpdirname  ,		**snake_case_ )

			def  lowerCAmelCase__		(    self	:    Optional[int]  ,		snake_case_	:    List[str] ):
							UpperCamelCase_:							Dict		=  """adapt react readapt apt"""
							UpperCamelCase_:							List[str]		=  """adapt react readapt apt"""
							return input_text, output_text




			def  lowerCAmelCase__		(    self	:    List[str] ):
							UpperCamelCase_:							str		=  CTRLTokenizer(self.vocab_file  ,		self.merges_file  ,		**self.special_tokens_map )
							UpperCamelCase_:							List[Any]		=  """adapt react readapt apt"""
							UpperCamelCase_:							Optional[int]		=  """adapt re@@ a@@ c@@ t re@@ adapt apt""".split()
							UpperCamelCase_:							int		=  tokenizer.tokenize(snake_case_ )
							self.assertListEqual(snake_case_  ,		snake_case_ )

							UpperCamelCase_:							List[Any]		=  tokens + [tokenizer.unk_token]

							UpperCamelCase_:							Union[str, Any]		=  [0, 1, 2, 4, 5, 1, 0, 3, 6]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_ )  ,		snake_case_ )






