

"""simple docstring"""
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"}

_lowerCAmelCase         =							{
    "vocab_file": {
        "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json",
        "allenai/longformer-large-4096": (
            "https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json"
        ),
        "allenai/longformer-large-4096-finetuned-triviaqa": (
            "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json"
        ),
        "allenai/longformer-base-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json"
        ),
        "allenai/longformer-large-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt",
        "allenai/longformer-large-4096": (
            "https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt"
        ),
        "allenai/longformer-large-4096-finetuned-triviaqa": (
            "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt"
        ),
        "allenai/longformer-base-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt"
        ),
        "allenai/longformer-large-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt"
        ),
    },
}

_lowerCAmelCase         =							{
    "allenai/longformer-base-4096": 4_096,
    "allenai/longformer-large-4096": 4_096,
    "allenai/longformer-large-4096-finetuned-triviaqa": 4_096,
    "allenai/longformer-base-4096-extra.pos.embd.only": 4_096,
    "allenai/longformer-large-4096-extra.pos.embd.only": 4_096,
}






@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 			__UpperCamelCase	(		):
	A_		:						str	    =   (
	    list(range(ord("""!"""					)   ,   ord("""~"""					) + 1					)					) + list(range(ord("""¡"""					)   ,   ord("""¬"""					) + 1					)					) + list(range(ord("""®"""					)   ,   ord("""ÿ"""					) + 1					)					)
	)
	A_		:						List[Any]	    =   bs[:]
	A_		:						int	    =   0
	for b in range(2**8					):
		if b not in bs:
			bs.append(lowerCAmelCase__					)
			cs.append(2**8 + n					)
			n += 1
	A_		:						str	    =   [chr(lowerCAmelCase__					) for n in cs]
	return dict(zip(lowerCAmelCase__   ,   lowerCAmelCase__					)					)






def 			__UpperCamelCase	(		snake_case__					):
	A_		:						Optional[int]	    =   set()
	A_		:						Optional[int]	    =   word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)					)
		A_		:						str	    =   char
	return pairs




class      SCREAMING_SNAKE_CASE  (				__SCREAMING_SNAKE_CASE						):





	"""simple docstring"""




	_A       :				Optional[int]    =				VOCAB_FILES_NAMES
	_A       :				int    =				PRETRAINED_VOCAB_FILES_MAP
	_A       :				Dict    =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_A       :				Union[str, Any]    =				['input_ids', 'attention_mask']





	def __init__(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_     ,     lowerCAmelCase_="replace"     ,     lowerCAmelCase_="<s>"     ,     lowerCAmelCase_="</s>"     ,     lowerCAmelCase_="</s>"     ,     lowerCAmelCase_="<s>"     ,     lowerCAmelCase_="<unk>"     ,     lowerCAmelCase_="<pad>"     ,     lowerCAmelCase_="<mask>"     ,     lowerCAmelCase_=False     ,     **lowerCAmelCase_     ,     ):
		A_		:						Any	    =   AddedToken(_a     ,     lstrip=_a     ,     rstrip=_a							) if isinstance(_a     ,     _a							) else bos_token
		A_		:						Optional[int]	    =   AddedToken(_a     ,     lstrip=_a     ,     rstrip=_a							) if isinstance(_a     ,     _a							) else eos_token
		A_		:						Optional[Any]	    =   AddedToken(_a     ,     lstrip=_a     ,     rstrip=_a							) if isinstance(_a     ,     _a							) else sep_token
		A_		:						Optional[int]	    =   AddedToken(_a     ,     lstrip=_a     ,     rstrip=_a							) if isinstance(_a     ,     _a							) else cls_token
		A_		:						List[str]	    =   AddedToken(_a     ,     lstrip=_a     ,     rstrip=_a							) if isinstance(_a     ,     _a							) else unk_token
		A_		:						str	    =   AddedToken(_a     ,     lstrip=_a     ,     rstrip=_a							) if isinstance(_a     ,     _a							) else pad_token

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

		super().__init__(
		    errors=_a     ,     bos_token=_a     ,     eos_token=_a     ,     unk_token=_a     ,     sep_token=_a     ,     cls_token=_a     ,     pad_token=_a     ,     mask_token=_a     ,     add_prefix_space=_a     ,     **_a     ,     )

		with open(_a     ,     encoding="""utf-8"""							) as vocab_handle:
			A_		:						Tuple	    =   json.load(_a							)
		A_		:						int	    =   {v: k for k, v in self.encoder.items()}
		A_		:						Optional[Any]	    =   errors  # how to handle errors in decoding
		A_		:						Any	    =   bytes_to_unicode()
		A_		:						Optional[Any]	    =   {v: k for k, v in self.byte_encoder.items()}
		with open(_a     ,     encoding="""utf-8"""							) as merges_handle:
			A_		:						List[Any]	    =   merges_handle.read().split("""\n"""							)[1:-1]
		A_		:						int	    =   [tuple(merge.split()							) for merge in bpe_merges]
		A_		:						Optional[int]	    =   dict(zip(_a     ,     range(len(_a							)							)							)							)
		A_		:						List[Any]	    =   {}
		A_		:						List[Any]	    =   add_prefix_space

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





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





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		if token in self.cache:
			return self.cache[token]
		A_		:						Optional[Any]	    =   tuple(_a							)
		A_		:						Optional[Any]	    =   get_pairs(_a							)

		if not pairs:
			return token

		while True:
			A_		:						List[str]	    =   min(_a     ,     key=lambda lowerCAmelCase_							: self.bpe_ranks.get(_a     ,     float("""inf"""							)							)							)
			if bigram not in self.bpe_ranks:
				break
			A_    ,     A_		:						Optional[int]	    =   bigram
			A_		:						Optional[Any]	    =   []
			A_		:						Optional[int]	    =   0
			while i < len(_a							):
				try:
					A_		:						str	    =   word.index(_a     ,     _a							)
				except ValueError:
					new_word.extend(word[i:]							)
					break
				else:
					new_word.extend(word[i:j]							)
					A_		:						Any	    =   j

				if word[i] == first and i < len(_a							) - 1 and word[i + 1] == second:
					new_word.append(first + second							)
					i += 2
				else:
					new_word.append(word[i]							)
					i += 1
			A_		:						Tuple	    =   tuple(_a							)
			A_		:						int	    =   new_word
			if len(_a							) == 1:
				break
			else:
				A_		:						Optional[int]	    =   get_pairs(_a							)
		A_		:						Tuple	    =   """ """.join(_a							)
		A_		:						Dict	    =   word
		return word





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		A_		:						List[Any]	    =   []
		for token in re.findall(self.pat     ,     _a							):
			A_		:						Dict	    =   """""".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(_a							).split(""" """							)							)
		return bpe_tokens





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		return self.encoder.get(_a     ,     self.encoder.get(self.unk_token							)							)





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		return self.decoder.get(_a							)





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		A_		:						List[Any]	    =   """""".join(_a							)
		A_		:						int	    =   bytearray([self.byte_decoder[c] for c in text]							).decode("""utf-8"""     ,     errors=self.errors							)
		return text





	def    lowerCamelCase(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_ = None							):
		if not os.path.isdir(_a							):
			logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
			return
		A_		:						int	    =   os.path.join(
		    _a     ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)
		A_		:						str	    =   os.path.join(
		    _a     ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]							)

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

		A_		:						int	    =   0
		with open(_a     ,     """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!"""							)
					A_		:						List[str]	    =   token_index
				writer.write(""" """.join(_a							) + """\n"""							)
				index += 1

		return vocab_file, merge_file





	def    lowerCamelCase(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_ = None							):
		if token_ids_a is None:
			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
		A_		:						List[Any]	    =   [self.cls_token_id]
		A_		:						List[Any]	    =   [self.sep_token_id]
		return cls + token_ids_a + sep + sep + token_ids_a + sep





	def    lowerCamelCase(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_ = None     ,     lowerCAmelCase_ = False							):
		if already_has_special_tokens:
			return super().get_special_tokens_mask(
			    token_ids_a=_a     ,     token_ids_a=_a     ,     already_has_special_tokens=_a							)

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





	def    lowerCamelCase(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_ = None							):
		A_		:						int	    =   [self.sep_token_id]
		A_		:						Optional[Any]	    =   [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     ,     lowerCAmelCase_     ,     lowerCAmelCase_=False     ,     **lowerCAmelCase_							):
		A_		:						Any	    =   kwargs.pop("""add_prefix_space"""     ,     self.add_prefix_space							)
		if (is_split_into_words or add_prefix_space) and (len(_a							) > 0 and not text[0].isspace()):
			A_		:						Optional[Any]	    =   """ """ + text
		return (text, kwargs)









"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCAmelCase         =							{
    "configuration_luke": ["LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP", "LukeConfig"],
    "tokenization_luke": ["LukeTokenizer"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							_lowerCAmelCase         =							[
							    "LUKE_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "LukeForEntityClassification",
							    "LukeForEntityPairClassification",
							    "LukeForEntitySpanClassification",
							    "LukeForMultipleChoice",
							    "LukeForQuestionAnswering",
							    "LukeForSequenceClassification",
							    "LukeForTokenClassification",
							    "LukeForMaskedLM",
							    "LukeModel",
							    "LukePreTrainedModel",
							]


if TYPE_CHECKING:
							from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
							from .tokenization_luke import LukeTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_luke import (
														    LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
														    LukeForEntityClassification,
														    LukeForEntityPairClassification,
														    LukeForEntitySpanClassification,
														    LukeForMaskedLM,
														    LukeForMultipleChoice,
														    LukeForQuestionAnswering,
														    LukeForSequenceClassification,
														    LukeForTokenClassification,
														    LukeModel,
														    LukePreTrainedModel,
														)

else:
							import sys

							_lowerCAmelCase         =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

