





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


UpperCAmelCase__						:			Dict									=logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
UpperCAmelCase__						:			List[Any]									={
    "vocab_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/vocab.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/vocab.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json",
    },
    "merges_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/merges.txt",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/merges.txt",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt",
    },
}

UpperCAmelCase__						:			Tuple									={
    "facebook/bart-base": 10_24,
    "facebook/bart-large": 10_24,
    "facebook/bart-large-mnli": 10_24,
    "facebook/bart-large-cnn": 10_24,
    "facebook/bart-large-xsum": 10_24,
    "yjernite/bart_eli5": 10_24,
}





@lru_cache()
def      _lowercase					(						)						->  Optional[Any]:
				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(_UpperCAmelCase				)
												cs.append(2**8 + n				)
												n += 1
				lowerCamelCase	 =[chr(_UpperCAmelCase				) for n in cs]
				return dict(zip(_UpperCAmelCase			,      _UpperCAmelCase				)				)





def      _lowercase					(						_UpperCAmelCase				)						->  Tuple:
				lowerCamelCase	 =set()
				lowerCamelCase	 =word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)				)
								lowerCamelCase	 =char
				return pairs




class       __A     (						__lowerCAmelCase    ):
					__A      =				VOCAB_FILES_NAMES
					__A      =				PRETRAINED_VOCAB_FILES_MAP
					__A      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__A      =				["input_ids", "attention_mask"]


					def __init__(		self   , UpperCAmelCase_   , UpperCAmelCase_   , UpperCAmelCase_="replace"   , UpperCAmelCase_="<s>"   , UpperCAmelCase_="</s>"   , UpperCAmelCase_="</s>"   , UpperCAmelCase_="<s>"   , UpperCAmelCase_="<unk>"   , UpperCAmelCase_="<pad>"   , UpperCAmelCase_="<mask>"   , UpperCAmelCase_=False   , **UpperCAmelCase_   , ):
									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 _snake_case       (		self							):
									return len(self.encoder							)


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


					def _snake_case       (		self   , UpperCAmelCase_							):






									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 UpperCAmelCase_							: self.bpe_ranks.get(lowerCamelCase__   , float("""inf"""							)							)							)
													if bigram not in self.bpe_ranks:
																	break
													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 _snake_case       (		self   , UpperCAmelCase_							):
									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 _snake_case       (		self   , UpperCAmelCase_							):
									return self.encoder.get(lowerCamelCase__   , self.encoder.get(self.unk_token							)							)


					def _snake_case       (		self   , UpperCAmelCase_							):
									return self.decoder.get(lowerCamelCase__							)


					def _snake_case       (		self   , UpperCAmelCase_							):
									lowerCamelCase	 =''''''.join(lowerCamelCase__							)
									lowerCamelCase	 =bytearray([self.byte_decoder[c] for c in text]							).decode("""utf-8"""   , errors=self.errors							)
									return text


					def _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_ = 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 UpperCAmelCase_							: 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 _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_ = 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 _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_ = None   , UpperCAmelCase_ = 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 _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_ = 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 _snake_case       (		self   , UpperCAmelCase_   , UpperCAmelCase_=False   , **UpperCAmelCase_							):
									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_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCAmelCase__						:			str									={'''configuration_fnet''': ['''FNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''FNetConfig''']}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__						:			List[Any]									=['''FNetTokenizer''']

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__						:			Any									=['''FNetTokenizerFast''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__						:			Dict									=[
							    '''FNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''FNetForMaskedLM''',
							    '''FNetForMultipleChoice''',
							    '''FNetForNextSentencePrediction''',
							    '''FNetForPreTraining''',
							    '''FNetForQuestionAnswering''',
							    '''FNetForSequenceClassification''',
							    '''FNetForTokenClassification''',
							    '''FNetLayer''',
							    '''FNetModel''',
							    '''FNetPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_fnet import FNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FNetConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_fnet import FNetTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_fnet_fast import FNetTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_fnet import (
														    FNET_PRETRAINED_MODEL_ARCHIVE_LIST,
														    FNetForMaskedLM,
														    FNetForMultipleChoice,
														    FNetForNextSentencePrediction,
														    FNetForPreTraining,
														    FNetForQuestionAnswering,
														    FNetForSequenceClassification,
														    FNetForTokenClassification,
														    FNetLayer,
														    FNetModel,
														    FNetPreTrainedModel,
														)


else:
							import sys

							UpperCAmelCase__						:			Optional[int]									=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





