





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_		(       )	->		Any:






				"""simple docstring"""


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






def   lowerCamelCase_		(       _UpperCamelCase				)	->		List[str]:






				"""simple docstring"""


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





class       __lowerCAmelCase (    lowerCAmelCase_  ):
			lowerCamelCase_  :  Any     =   VOCAB_FILES_NAMES
			lowerCamelCase_  :  Dict     =   PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase_  :  Any     =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase_  :  Any     =   ['input_ids', 'attention_mask']






			def __init__(self      ,							__magic_name__      ,							__magic_name__      ,							__magic_name__="replace"      ,							__magic_name__="<s>"      ,							__magic_name__="</s>"      ,							__magic_name__="</s>"      ,							__magic_name__="<s>"      ,							__magic_name__="<unk>"      ,							__magic_name__="<pad>"      ,							__magic_name__="<mask>"      ,							__magic_name__=False      ,							**__magic_name__      ,							)  ->     List[Any]:


							'''simple docstring'''



							snake_case_			    =						AddedToken(lowerCamelCase_      ,							lstrip=lowerCamelCase_      ,							rstrip=lowerCamelCase_					) if isinstance(lowerCamelCase_      ,							lowerCamelCase_					) else bos_token
							snake_case_			    =						AddedToken(lowerCamelCase_      ,							lstrip=lowerCamelCase_      ,							rstrip=lowerCamelCase_					) if isinstance(lowerCamelCase_      ,							lowerCamelCase_					) else eos_token
							snake_case_			    =						AddedToken(lowerCamelCase_      ,							lstrip=lowerCamelCase_      ,							rstrip=lowerCamelCase_					) if isinstance(lowerCamelCase_      ,							lowerCamelCase_					) else sep_token
							snake_case_			    =						AddedToken(lowerCamelCase_      ,							lstrip=lowerCamelCase_      ,							rstrip=lowerCamelCase_					) if isinstance(lowerCamelCase_      ,							lowerCamelCase_					) else cls_token
							snake_case_			    =						AddedToken(lowerCamelCase_      ,							lstrip=lowerCamelCase_      ,							rstrip=lowerCamelCase_					) if isinstance(lowerCamelCase_      ,							lowerCamelCase_					) else unk_token
							snake_case_			    =						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
							snake_case_			    =						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:
											snake_case_			    =						json.load(lowerCamelCase_					)
							snake_case_			    =						{v: k for k, v in self.encoder.items()}
							snake_case_			    =						errors  # how to handle errors in decoding
							snake_case_			    =						bytes_to_unicode()
							snake_case_			    =						{v: k for k, v in self.byte_encoder.items()}
							with open(lowerCamelCase_      ,							encoding='''utf-8'''					) as merges_handle:
											snake_case_			    =						merges_handle.read().split('''\n'''					)[1:-1]
							snake_case_			    =						[tuple(merge.split()					) for merge in bpe_merges]
							snake_case_			    =						dict(zip(lowerCamelCase_      ,							range(len(lowerCamelCase_					)					)					)					)
							snake_case_			    =						{}
							snake_case_			    =						add_prefix_space

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							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     lowerCamelCase						(self					)  ->     Dict:


							'''simple docstring'''



							return len(self.encoder					)






			def     lowerCamelCase						(self					)  ->     Dict:


							'''simple docstring'''



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






			def     lowerCamelCase						(self      ,							__magic_name__					)  ->     Optional[Any]:


							'''simple docstring'''



							if token in self.cache:
											return self.cache[token]
							snake_case_			    =						tuple(lowerCamelCase_					)
							snake_case_			    =						get_pairs(lowerCamelCase_					)

							if not pairs:
											return token

							while True:
											snake_case_			    =						min(lowerCamelCase_      ,							key=lambda __magic_name__					: self.bpe_ranks.get(lowerCamelCase_      ,							float('''inf'''					)					)					)
											if bigram not in self.bpe_ranks:
															break
											snake_case_    ,							snake_case_			    =						bigram
											snake_case_			    =						[]
											snake_case_			    =						0
											while i < len(lowerCamelCase_					):
															try:
																			snake_case_			    =						word.index(lowerCamelCase_      ,							lowerCamelCase_					)
															except ValueError:
																			new_word.extend(word[i:]					)
																			break
															else:
																			new_word.extend(word[i:j]					)
																			snake_case_			    =						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
											snake_case_			    =						tuple(lowerCamelCase_					)
											snake_case_			    =						new_word
											if len(lowerCamelCase_					) == 1:
															break
											else:
															snake_case_			    =						get_pairs(lowerCamelCase_					)
							snake_case_			    =						''' '''.join(lowerCamelCase_					)
							snake_case_			    =						word
							return word






			def     lowerCamelCase						(self      ,							__magic_name__					)  ->     List[str]:


							'''simple docstring'''



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






			def     lowerCamelCase						(self      ,							__magic_name__					)  ->     Any:


							'''simple docstring'''



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






			def     lowerCamelCase						(self      ,							__magic_name__					)  ->     Optional[Any]:


							'''simple docstring'''



							return self.decoder.get(lowerCamelCase_					)






			def     lowerCamelCase						(self      ,							__magic_name__					)  ->     Optional[int]:


							'''simple docstring'''



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






			def     lowerCamelCase						(self      ,							__magic_name__      ,							__magic_name__ = None					)  ->     List[Any]:


							'''simple docstring'''



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

							snake_case_			    =						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 __magic_name__					: 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!'''					)
																			snake_case_			    =						token_index
															writer.write(''' '''.join(lowerCamelCase_					) + '''\n'''					)
															index += 1

							return vocab_file, merge_file






			def     lowerCamelCase						(self      ,							__magic_name__      ,							__magic_name__ = None					)  ->     Optional[int]:


							'''simple docstring'''



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






			def     lowerCamelCase						(self      ,							__magic_name__      ,							__magic_name__ = None      ,							__magic_name__ = False					)  ->     Tuple:


							'''simple docstring'''



							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     lowerCamelCase						(self      ,							__magic_name__      ,							__magic_name__ = None					)  ->     Any:


							'''simple docstring'''



							snake_case_			    =						[self.sep_token_id]
							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     lowerCamelCase						(self      ,							__magic_name__      ,							__magic_name__=False      ,							**__magic_name__					)  ->     str:


							'''simple docstring'''



							snake_case_			    =						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()):
											snake_case_			    =						''' ''' + text
							return (text, kwargs)







import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


lowerCAmelCase_												=       logging.get_logger(__name__)



class       __lowerCAmelCase (    _a  ):






			def __init__(self      ,							*__magic_name__      ,							**__magic_name__					)  ->     None:


							'''simple docstring'''



							warnings.warn(
							    '''The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
							    ''' Please use MobileNetV2ImageProcessor instead.'''      ,							__magic_name__      ,							)
							super().__init__(*__magic_name__      ,							**__magic_name__					)
