






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


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


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

# See all MVP models at https://huggingface.co/models?filter=mvp
A_			:Union[str, Any]	    =		{
    "vocab_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json",
    },
    "added_tokens.json": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json",
    },
    "merges_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt",
    },
}

A_			:Dict	    =		{
    "RUCAIBox/mvp": 1024,
}






@lru_cache()
def 				A	(			)	->		Optional[int]:
					__UpperCamelCase :   Union[str, Any]									=(
					    list(range(ord('!'   )				,ord('~'   ) + 1   )   ) + list(range(ord('¡'   )				,ord('¬'   ) + 1   )   ) + list(range(ord('®'   )				,ord('ÿ'   ) + 1   )   )
					)
					__UpperCamelCase :   List[Any]									=bs[:]
					__UpperCamelCase :   Union[str, Any]									=0
					for b in range(2**8   ):
										if b not in bs:
															bs.append(a_   )
															cs.append(2**8 + n   )
															n += 1
					__UpperCamelCase :   List[Any]									=[chr(a_   ) for n in cs]
					return dict(zip(a_				,a_   )   )






def 				A	(			a_   )	->		List[Any]:
					__UpperCamelCase :   Optional[Any]									=set()
					__UpperCamelCase :   Union[str, Any]									=word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)   )
										__UpperCamelCase :   Tuple									=char
					return pairs




class 							__A	(     a					):





				"""simple docstring"""







				UpperCamelCase__					: Optional[Any]     					=VOCAB_FILES_NAMES
				UpperCamelCase__					: Dict     					=PRETRAINED_VOCAB_FILES_MAP
				UpperCamelCase__					: str     					=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCamelCase__					: str     					=['input_ids', 'attention_mask']


				def __init__(					self				,    lowerCamelCase__				,    lowerCamelCase__				,    lowerCamelCase__="replace"				,    lowerCamelCase__="<s>"				,    lowerCamelCase__="</s>"				,    lowerCamelCase__="</s>"				,    lowerCamelCase__="<s>"				,    lowerCamelCase__="<unk>"				,    lowerCamelCase__="<pad>"				,    lowerCamelCase__="<mask>"				,    lowerCamelCase__=False				,    **lowerCamelCase__				,    ):




									"""simple docstring"""

									__UpperCamelCase :   str									=AddedToken(_A				,    lstrip=_A				,    rstrip=_A       ) if isinstance(_A				,    _A       ) else bos_token
									__UpperCamelCase :   List[Any]									=AddedToken(_A				,    lstrip=_A				,    rstrip=_A       ) if isinstance(_A				,    _A       ) else eos_token
									__UpperCamelCase :   str									=AddedToken(_A				,    lstrip=_A				,    rstrip=_A       ) if isinstance(_A				,    _A       ) else sep_token
									__UpperCamelCase :   List[Any]									=AddedToken(_A				,    lstrip=_A				,    rstrip=_A       ) if isinstance(_A				,    _A       ) else cls_token
									__UpperCamelCase :   List[Any]									=AddedToken(_A				,    lstrip=_A				,    rstrip=_A       ) if isinstance(_A				,    _A       ) else unk_token
									__UpperCamelCase :   List[str]									=AddedToken(_A				,    lstrip=_A				,    rstrip=_A       ) if isinstance(_A				,    _A       ) else pad_token

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

									super().__init__(
									    errors=_A				,    bos_token=_A				,    eos_token=_A				,    unk_token=_A				,    sep_token=_A				,    cls_token=_A				,    pad_token=_A				,    mask_token=_A				,    add_prefix_space=_A				,    **_A				,    )
									with open(_A				,    encoding='utf-8'       ) as vocab_handle:
														__UpperCamelCase :   Any									=json.load(_A       )
									__UpperCamelCase :   int									={v: k for k, v in self.encoder.items()}
									__UpperCamelCase :   int									=errors  # how to handle errors in decoding
									__UpperCamelCase :   List[str]									=bytes_to_unicode()
									__UpperCamelCase :   Tuple									={v: k for k, v in self.byte_encoder.items()}
									with open(_A				,    encoding='utf-8'       ) as merges_handle:
														__UpperCamelCase :   str									=merges_handle.read().split('\n'       )[1:-1]
									__UpperCamelCase :   Any									=[tuple(merge.split()       ) for merge in bpe_merges]
									__UpperCamelCase :   Union[str, Any]									=dict(zip(_A				,    range(len(_A       )       )       )       )
									__UpperCamelCase :   int									={}
									__UpperCamelCase :   Union[str, Any]									=add_prefix_space

									# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
									__UpperCamelCase :   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  __lowercase				(					self       ):




									"""simple docstring"""

									return len(self.encoder       )


				def  __lowercase				(					self       ):




									"""simple docstring"""

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


				def  __lowercase				(					self				,    lowerCamelCase__       ):




									"""simple docstring"""

									if token in self.cache:
														return self.cache[token]
									__UpperCamelCase :   Optional[Any]									=tuple(_A       )
									__UpperCamelCase :   Any									=get_pairs(_A       )

									if not pairs:
														return token

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

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


				def  __lowercase				(					self				,    lowerCamelCase__       ):




									"""simple docstring"""

									__UpperCamelCase :   Dict									=[]
									for token in re.findall(self.pat				,    _A       ):
														__UpperCamelCase :   List[Any]									=''.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(_A       ).split(' '       )       )
									return bpe_tokens


				def  __lowercase				(					self				,    lowerCamelCase__       ):




									"""simple docstring"""

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


				def  __lowercase				(					self				,    lowerCamelCase__       ):




									"""simple docstring"""

									return self.decoder.get(_A       )


				def  __lowercase				(					self				,    lowerCamelCase__       ):




									"""simple docstring"""

									__UpperCamelCase :   List[Any]									=''.join(_A       )
									__UpperCamelCase :   Optional[int]									=bytearray([self.byte_decoder[c] for c in text]       ).decode('utf-8'				,    errors=self.errors       )
									return text


				def  __lowercase				(					self				,    lowerCamelCase__				,    lowerCamelCase__ = None       ):




									"""simple docstring"""

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

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

									__UpperCamelCase :   Any									=0
									with open(_A				,    '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!'       )
																								__UpperCamelCase :   Union[str, Any]									=token_index
																			writer.write(' '.join(_A       ) + '\n'       )
																			index += 1

									return vocab_file, merge_file


				def  __lowercase				(					self				,    lowerCamelCase__				,    lowerCamelCase__ = None       ):




									"""simple docstring"""

									if token_ids_a is None:
														return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									__UpperCamelCase :   Any									=[self.cls_token_id]
									__UpperCamelCase :   Dict									=[self.sep_token_id]
									return cls + token_ids_a + sep + sep + token_ids_a + sep


				def  __lowercase				(					self				,    lowerCamelCase__				,    lowerCamelCase__ = None				,    lowerCamelCase__ = False       ):




									"""simple docstring"""

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

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


				def  __lowercase				(					self				,    lowerCamelCase__				,    lowerCamelCase__ = None       ):




									"""simple docstring"""

									__UpperCamelCase :   Optional[Any]									=[self.sep_token_id]
									__UpperCamelCase :   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  __lowercase				(					self				,    lowerCamelCase__				,    lowerCamelCase__=False				,    **lowerCamelCase__       ):




									"""simple docstring"""

									__UpperCamelCase :   Union[str, Any]									=kwargs.pop('add_prefix_space'				,    self.add_prefix_space       )
									if (is_split_into_words or add_prefix_space) and (len(_A       ) > 0 and not text[0].isspace()):
														__UpperCamelCase :   Optional[int]									=' ' + text
									return (text, kwargs)



'''simple docstring'''





import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

a__		: Tuple  							=							[(1,)]





def 							snake_case				(		)->      Union[str, Any]:







      """simple docstring"""
      __A													=      bool(os.getenv('RUN_SLOW'   ,	0						)						)
      if run_slow:
            assert True
      else:
            assert False, "should have been skipped"





def 							snake_case				(		)->      Tuple:







      """simple docstring"""
      __A													=      bool(os.getenv('RUN_SLOW'   ,	0						)						)
      if run_slow and torch_device == "cuda":
            assert True
      else:
            assert False, "should have been skipped"


@require_torch
class 			UpperCamelCase__	(     unittest.TestCase):






 @slow
 @require_torch_gpu
 def 						lowercase_    (      self	:Dict      )					->      List[Any]:







       '''simple docstring'''



       check_slow_torch_cuda()






 @require_torch_gpu
 @slow
 def 						lowercase_    (      self	:int      )					->      int:







       '''simple docstring'''



       check_slow_torch_cuda()






 @parameterized.expand(_A      )
 @slow
 def 						lowercase_    (      self	:Dict						,					_A	:Union[str, Any]=None      )					->      Dict:







       '''simple docstring'''



       check_slow()





@slow
@require_torch_gpu
def 							snake_case				(		)->      Optional[int]:







      """simple docstring"""
      check_slow_torch_cuda()





@require_torch_gpu
@slow
def 							snake_case				(		)->      List[str]:







      """simple docstring"""
      check_slow_torch_cuda()





@slow
@pytest.mark.parametrize('param'   ,	[1]						)
def 							snake_case				(		UpperCAmelCase						)->      int:







      """simple docstring"""
      check_slow()





@pytest.mark.parametrize('param'   ,	[1]						)
@slow
def 							snake_case				(		UpperCAmelCase						)->      Any:







      """simple docstring"""
      check_slow()






