




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


SCREAMING_SNAKE_CASE__    :    List[str]								=					logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
SCREAMING_SNAKE_CASE__    :    str								=					{
    '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',
    },
}

SCREAMING_SNAKE_CASE__    :    List[Any]								=					{
    'RUCAIBox/mvp': 10_24,
}

@lru_cache()
def lowercase						(   ) ->       List[str]:


			'''simple docstring'''







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

def lowercase						(   SCREAMING_SNAKE_CASE   ) ->       Any:


			'''simple docstring'''







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



class 			a_					(    SCREAMING_SNAKE_CASE__    ):
	A						       =   VOCAB_FILES_NAMES
	A						       =   PRETRAINED_VOCAB_FILES_MAP
	A						       =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A						       =   ['''input_ids''', '''attention_mask''']





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




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else bos_token
				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else eos_token
				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else sep_token
				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else cls_token
				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else unk_token
				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else pad_token

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

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

				# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
				SCREAMING_SNAKE_CASE_			=	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			)     ->				str:




				"""simple docstring"""



				return len(self.encoder			)





	def 	A_(       self			)     ->				int:




				"""simple docstring"""



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





	def 	A_(       self			,    SCREAMING_SNAKE_CASE			)     ->				List[str]:




				"""simple docstring"""



				if token in self.cache:
							return self.cache[token]
				SCREAMING_SNAKE_CASE_			=	tuple(SCREAMING_SNAKE_CASE			)
				SCREAMING_SNAKE_CASE_			=	get_pairs(SCREAMING_SNAKE_CASE			)

				if not pairs:
							return token

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

										if word[i] == first and i < len(SCREAMING_SNAKE_CASE			) - 1 and word[i + 1] == second:
													new_word.append(first + second			)
													i += 2
										else:
													new_word.append(word[i]			)
													i += 1
							SCREAMING_SNAKE_CASE_			=	tuple(SCREAMING_SNAKE_CASE			)
							SCREAMING_SNAKE_CASE_			=	new_word
							if len(SCREAMING_SNAKE_CASE			) == 1:
										break
							else:
										SCREAMING_SNAKE_CASE_			=	get_pairs(SCREAMING_SNAKE_CASE			)
				SCREAMING_SNAKE_CASE_			=	''' '''.join(SCREAMING_SNAKE_CASE			)
				SCREAMING_SNAKE_CASE_			=	word
				return word





	def 	A_(       self			,    SCREAMING_SNAKE_CASE			)     ->				List[Any]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_			=	[]
				for token in re.findall(self.pat			,    SCREAMING_SNAKE_CASE			):
							SCREAMING_SNAKE_CASE_			=	''''''.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(SCREAMING_SNAKE_CASE			).split(' '			)			)
				return bpe_tokens





	def 	A_(       self			,    SCREAMING_SNAKE_CASE			)     ->				Union[str, Any]:




				"""simple docstring"""



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





	def 	A_(       self			,    SCREAMING_SNAKE_CASE			)     ->				Tuple:




				"""simple docstring"""



				return self.decoder.get(SCREAMING_SNAKE_CASE			)





	def 	A_(       self			,    SCREAMING_SNAKE_CASE			)     ->				str:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_			=	''''''.join(SCREAMING_SNAKE_CASE			)
				SCREAMING_SNAKE_CASE_			=	bytearray([self.byte_decoder[c] for c in text]			).decode('utf-8'			,    errors=self.errors			)
				return text





	def 	A_(       self			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE = None			)     ->				Tuple[str]:




				"""simple docstring"""



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

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

				SCREAMING_SNAKE_CASE_			=	0
				with open(SCREAMING_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 SCREAMING_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!'			)
													SCREAMING_SNAKE_CASE_			=	token_index
										writer.write(' '.join(SCREAMING_SNAKE_CASE			) + '\n'			)
										index += 1

				return vocab_file, merge_file





	def 	A_(       self			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE = None			)     ->				List[int]:




				"""simple docstring"""



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





	def 	A_(       self			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE = None			,    SCREAMING_SNAKE_CASE = False			)     ->				List[int]:




				"""simple docstring"""



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

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





	def 	A_(       self			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE = None			)     ->				List[int]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_			=	[self.sep_token_id]
				SCREAMING_SNAKE_CASE_			=	[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			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE=False			,    **SCREAMING_SNAKE_CASE			)     ->				Dict:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_			=	kwargs.pop('add_prefix_space'			,    self.add_prefix_space			)
				if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE			) > 0 and not text[0].isspace()):
							SCREAMING_SNAKE_CASE_			=	''' ''' + text
				return (text, kwargs)






SCREAMING_SNAKE_CASE__    :    List[str]								=					"\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

SCREAMING_SNAKE_CASE__    :    List[str]								=					[{"type": "code", "content": INSTALL_CONTENT}]
SCREAMING_SNAKE_CASE__    :    List[Any]								=					{
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}
