


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	:							Optional[Any]           =  logging.get_logger(__name__)


__SCREAMING_SNAKE_CASE	:							Optional[Any]           =  {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
__SCREAMING_SNAKE_CASE	:							List[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''',
    },
}

__SCREAMING_SNAKE_CASE	:							List[Any]           =  {
    '''RUCAIBox/mvp''': 1_024,
}

@lru_cache()
def 		snake_case_   (				):






				'''simple docstring'''






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

def 		snake_case_   (				lowercase__     :    Tuple     ):






				'''simple docstring'''






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





class        __lowerCamelCase      (				lowerCamelCase_ ):


				"""simple docstring"""







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






				def __init__(				self     :    Optional[Any]	,							lowerCamelCase_     :    Optional[Any]	,							lowerCamelCase_     :    int	,							lowerCamelCase_     :    List[str]="replace"	,							lowerCamelCase_     :    Any="<s>"	,							lowerCamelCase_     :    Tuple="</s>"	,							lowerCamelCase_     :    Union[str, Any]="</s>"	,							lowerCamelCase_     :    int="<s>"	,							lowerCamelCase_     :    List[str]="<unk>"	,							lowerCamelCase_     :    List[Any]="<pad>"	,							lowerCamelCase_     :    str="<mask>"	,							lowerCamelCase_     :    List[Any]=False	,							**lowerCamelCase_     :    List[str]	,							):
								_lowerCAmelCase  						=AddedToken(lowerCamelCase_	,							lstrip=lowerCamelCase_	,							rstrip=lowerCamelCase_					) if isinstance(lowerCamelCase_	,							lowerCamelCase_					) else bos_token
								_lowerCAmelCase  						=AddedToken(lowerCamelCase_	,							lstrip=lowerCamelCase_	,							rstrip=lowerCamelCase_					) if isinstance(lowerCamelCase_	,							lowerCamelCase_					) else eos_token
								_lowerCAmelCase  						=AddedToken(lowerCamelCase_	,							lstrip=lowerCamelCase_	,							rstrip=lowerCamelCase_					) if isinstance(lowerCamelCase_	,							lowerCamelCase_					) else sep_token
								_lowerCAmelCase  						=AddedToken(lowerCamelCase_	,							lstrip=lowerCamelCase_	,							rstrip=lowerCamelCase_					) if isinstance(lowerCamelCase_	,							lowerCamelCase_					) else cls_token
								_lowerCAmelCase  						=AddedToken(lowerCamelCase_	,							lstrip=lowerCamelCase_	,							rstrip=lowerCamelCase_					) if isinstance(lowerCamelCase_	,							lowerCamelCase_					) else unk_token
								_lowerCAmelCase  						=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
								_lowerCAmelCase  						=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:
												_lowerCAmelCase  						=json.load(lowerCamelCase_					)
								_lowerCAmelCase  						={v: k for k, v in self.encoder.items()}
								_lowerCAmelCase  						=errors  # how to handle errors in decoding
								_lowerCAmelCase  						=bytes_to_unicode()
								_lowerCAmelCase  						={v: k for k, v in self.byte_encoder.items()}
								with open(lowerCamelCase_	,							encoding="""utf-8"""					) as merges_handle:
												_lowerCAmelCase  						=merges_handle.read().split("""\n"""					)[1:-1]
								_lowerCAmelCase  						=[tuple(merge.split()					) for merge in bpe_merges]
								_lowerCAmelCase  						=dict(zip(lowerCamelCase_	,							range(len(lowerCamelCase_					)					)					)					)
								_lowerCAmelCase  						={}
								_lowerCAmelCase  						=add_prefix_space

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								_lowerCAmelCase  						=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     :    str					):
								return dict(self.encoder	,							**self.added_tokens_encoder					)






				def        lowerCAmelCase__			(				self     :    Optional[int]	,							lowerCamelCase_     :    List[Any]					):
								if token in self.cache:
												return self.cache[token]
								_lowerCAmelCase  						=tuple(lowerCamelCase_					)
								_lowerCAmelCase  						=get_pairs(lowerCamelCase_					)

								if not pairs:
												return token

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






				def        lowerCAmelCase__			(				self     :    int	,							lowerCamelCase_     :    Union[str, Any]					):
								_lowerCAmelCase  						=[]
								for token in re.findall(self.pat	,							lowerCamelCase_					):
												_lowerCAmelCase  						="""""".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     :    Any	,							lowerCamelCase_     :    Dict					):
								return self.encoder.get(lowerCamelCase_	,							self.encoder.get(self.unk_token					)					)






				def        lowerCAmelCase__			(				self     :    List[Any]	,							lowerCamelCase_     :    List[Any]					):
								return self.decoder.get(lowerCamelCase_					)






				def        lowerCAmelCase__			(				self     :    Union[str, Any]	,							lowerCamelCase_     :    Optional[int]					):
								_lowerCAmelCase  						="""""".join(lowerCamelCase_					)
								_lowerCAmelCase  						=bytearray([self.byte_decoder[c] for c in text]					).decode("""utf-8"""	,							errors=self.errors					)
								return text






				def        lowerCAmelCase__			(				self     :    List[Any]	,							lowerCamelCase_     :    str	,							lowerCamelCase_     :    Optional[str] = None					):
								if not os.path.isdir(lowerCamelCase_					):
												logger.error(F"Vocabulary path ({save_directory}) should be a directory"					)
												return
								_lowerCAmelCase  						=os.path.join(
								    lowerCamelCase_	,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
								_lowerCAmelCase  						=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"""					)

								_lowerCAmelCase  						=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 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!"""					)
																				_lowerCAmelCase  						=token_index
																writer.write(""" """.join(lowerCamelCase_					) + """\n"""					)
																index += 1

								return vocab_file, merge_file






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






				def        lowerCAmelCase__			(				self     :    Tuple	,							lowerCamelCase_     :    List[int]	,							lowerCamelCase_     :    Optional[List[int]] = None	,							lowerCamelCase_     :    bool = 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        lowerCAmelCase__			(				self     :    List[str]	,							lowerCamelCase_     :    List[int]	,							lowerCamelCase_     :    Optional[List[int]] = None					):
								_lowerCAmelCase  						=[self.sep_token_id]
								_lowerCAmelCase  						=[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     :    List[str]	,							lowerCamelCase_     :    List[str]	,							lowerCamelCase_     :    Tuple=False	,							**lowerCamelCase_     :    Union[str, Any]					):
								_lowerCAmelCase  						=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()):
												_lowerCAmelCase  						=""" """ + text
								return (text, kwargs)





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__SCREAMING_SNAKE_CASE	:							Optional[int]           =  {'''configuration_sew_d''': ['''SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SEWDConfig''']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE	:							Dict           =  [
		    '''SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''SEWDForCTC''',
		    '''SEWDForSequenceClassification''',
		    '''SEWDModel''',
		    '''SEWDPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_sew_d import (
				    SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SEWDForCTC,
				    SEWDForSequenceClassification,
				    SEWDModel,
				    SEWDPreTrainedModel,
				)


else:
		import sys

		__SCREAMING_SNAKE_CASE	:							Tuple           =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

