

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"""}

# See all MVP models at https://huggingface.co/models?filter=mvp
lowerCAmelCase__             =		{
    """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""",
    },
}

lowerCAmelCase__             =		{
    """RUCAIBox/mvp""": 1_0_2_4,
}






@lru_cache()
def        lowerCamelCase_  (				)    ->					int:




	'''simple docstring'''




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






def        lowerCamelCase_  (				UpperCAmelCase_				:  List[Any]						)    ->					Dict:




	'''simple docstring'''




	_UpperCamelCase :		Union[str, Any]								=    set()
	_UpperCamelCase :		Any								=    word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)						)
		_UpperCamelCase :		int								=    char
	return pairs







class 						lowercase     (					_lowercase				):


		"""simple docstring"""




		a__       							=	VOCAB_FILES_NAMES
		a__       							=	PRETRAINED_VOCAB_FILES_MAP
		a__       							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		a__       							=	['''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						,							):
			_UpperCamelCase :		List[str]								=    AddedToken(lowerCamelCase__						,							lstrip=lowerCamelCase__						,							rstrip=lowerCamelCase__) if isinstance(lowerCamelCase__						,							lowerCamelCase__) else bos_token
			_UpperCamelCase :		str								=    AddedToken(lowerCamelCase__						,							lstrip=lowerCamelCase__						,							rstrip=lowerCamelCase__) if isinstance(lowerCamelCase__						,							lowerCamelCase__) else eos_token
			_UpperCamelCase :		List[Any]								=    AddedToken(lowerCamelCase__						,							lstrip=lowerCamelCase__						,							rstrip=lowerCamelCase__) if isinstance(lowerCamelCase__						,							lowerCamelCase__) else sep_token
			_UpperCamelCase :		List[Any]								=    AddedToken(lowerCamelCase__						,							lstrip=lowerCamelCase__						,							rstrip=lowerCamelCase__) if isinstance(lowerCamelCase__						,							lowerCamelCase__) else cls_token
			_UpperCamelCase :		Optional[int]								=    AddedToken(lowerCamelCase__						,							lstrip=lowerCamelCase__						,							rstrip=lowerCamelCase__) if isinstance(lowerCamelCase__						,							lowerCamelCase__) else unk_token
			_UpperCamelCase :		Optional[int]								=    AddedToken(lowerCamelCase__						,							lstrip=lowerCamelCase__						,							rstrip=lowerCamelCase__) if isinstance(lowerCamelCase__						,							lowerCamelCase__) else pad_token

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

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

			# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
			_UpperCamelCase :		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 		A__       (					self):
			return len(self.encoder)


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


		def 		A__       (					self						,							__snake_case):




			if token in self.cache:
				return self.cache[token]
			_UpperCamelCase :		str								=    tuple(lowerCamelCase__)
			_UpperCamelCase :		List[Any]								=    get_pairs(lowerCamelCase__)

			if not pairs:
				return token

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

					if word[i] == first and i < len(lowerCamelCase__) - 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(lowerCamelCase__)
				_UpperCamelCase :		Union[str, Any]								=    new_word
				if len(lowerCamelCase__) == 1:
					break
				else:
					_UpperCamelCase :		str								=    get_pairs(lowerCamelCase__)
			_UpperCamelCase :		List[str]								=    " ".join(lowerCamelCase__)
			_UpperCamelCase :		Optional[Any]								=    word
			return word


		def 		A__       (					self						,							__snake_case):
			_UpperCamelCase :		int								=    []
			for token in re.findall(self.pat						,							lowerCamelCase__):
				_UpperCamelCase :		int								=    "".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(lowerCamelCase__).split(' '))
			return bpe_tokens


		def 		A__       (					self						,							__snake_case):
			return self.encoder.get(lowerCamelCase__						,							self.encoder.get(self.unk_token))


		def 		A__       (					self						,							__snake_case):
			return self.decoder.get(lowerCamelCase__)


		def 		A__       (					self						,							__snake_case):
			_UpperCamelCase :		Union[str, Any]								=    "".join(lowerCamelCase__)
			_UpperCamelCase :		Optional[int]								=    bytearray([self.byte_decoder[c] for c in text]).decode('utf-8'						,							errors=self.errors)
			return text


		def 		A__       (					self						,							__snake_case						,							__snake_case = None):




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

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

			_UpperCamelCase :		Tuple								=    0
			with open(lowerCamelCase__						,							'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 :		Optional[Any]								=    token_index
					writer.write(' '.join(lowerCamelCase__) + '\n')
					index += 1

			return vocab_file, merge_file


		def 		A__       (					self						,							__snake_case						,							__snake_case = None):




			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 :		str								=    [self.sep_token_id]
			return cls + token_ids_a + sep + sep + token_ids_a + sep


		def 		A__       (					self						,							__snake_case						,							__snake_case = None						,							__snake_case = False):




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

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


		def 		A__       (					self						,							__snake_case						,							__snake_case = None):
			_UpperCamelCase :		int								=    [self.sep_token_id]
			_UpperCamelCase :		int								=    [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 		A__       (					self						,							__snake_case						,							__snake_case=False						,							**__snake_case):
			_UpperCamelCase :		int								=    kwargs.pop('add_prefix_space'						,							self.add_prefix_space)
			if (is_split_into_words or add_prefix_space) and (len(lowerCamelCase__) > 0 and not text[0].isspace()):
				_UpperCamelCase :		Tuple								=    " " + text
			return (text, kwargs)








"""simple docstring"""






def 			A__		(					_UpperCAmelCase    :      str	)							->	list:

	'''simple docstring'''


	snake_case__  :						Any		=      []
	snake_case__  :						List[Any]		=      1

	for i in range(len(_UpperCAmelCase	)	):
		if i + 1 < len(_UpperCAmelCase	) and text[i] == text[i + 1]:
			count += 1
		else:
			encoded.append((text[i], count)	)
			snake_case__  :						Dict		=      1

	return encoded



def 			A__		(					_UpperCAmelCase    :      list	)							->	str:

	'''simple docstring'''


	return "".join(char * length for char, length in encoded	)


if __name__ == "__main__":
					from doctest import testmod

					testmod(name="""run_length_encode""", verbose=True)
					testmod(name="""run_length_decode""", verbose=True)





