





'''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


__UpperCAmelCase            =       logging.get_logger(__name__)


__UpperCAmelCase            =       {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

__UpperCAmelCase            =       {
    """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"""
        ),
    },
}

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



@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 		__A		(  ):


		"""simple docstring"""



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



def 		__A		(  lowerCamelCase_	):


		"""simple docstring"""



		SCREAMING_SNAKE_CASE :				int		=			set()
		SCREAMING_SNAKE_CASE :				Dict		=			word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)	)
				SCREAMING_SNAKE_CASE :				str		=			char
		return pairs




class      UpperCamelCase__					(					lowercase_			):




					"""simple docstring"""
					SCREAMING_SNAKE_CASE__				=	VOCAB_FILES_NAMES
					SCREAMING_SNAKE_CASE__				=	PRETRAINED_VOCAB_FILES_MAP
					SCREAMING_SNAKE_CASE__				=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					SCREAMING_SNAKE_CASE__				=	['''input_ids''', '''attention_mask''']


					def __init__(						self				:			Optional[int]      ,						lowerCamelCase_				:			Union[str, Any]      ,						lowerCamelCase_				:			int      ,						lowerCamelCase_				:			Tuple="replace"      ,						lowerCamelCase_				:			Dict="<s>"      ,						lowerCamelCase_				:			Optional[int]="</s>"      ,						lowerCamelCase_				:			List[Any]="</s>"      ,						lowerCamelCase_				:			List[Any]="<s>"      ,						lowerCamelCase_				:			Tuple="<unk>"      ,						lowerCamelCase_				:			List[str]="<pad>"      ,						lowerCamelCase_				:			List[str]="<mask>"      ,						lowerCamelCase_				:			Union[str, Any]=False      ,						**lowerCamelCase_				:			List[str]      ,						):

							'''simple docstring'''



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

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			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				:			str						):

							'''simple docstring'''



							return len(self.encoder						)


					def lowerCamelCase_			(						self				:			List[str]						):

							'''simple docstring'''



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


					def lowerCamelCase_			(						self				:			Tuple      ,						lowerCamelCase_				:			str						):

							'''simple docstring'''



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

							if not pairs:
									return token

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


					def lowerCamelCase_			(						self				:			Union[str, Any]      ,						lowerCamelCase_				:			Any						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Dict		=			[]
							for token in re.findall(self.pat      ,						lowerCamelCase_						):
									SCREAMING_SNAKE_CASE :				Optional[int]		=			"""""".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				:			Optional[int]      ,						lowerCamelCase_				:			Tuple						):

							'''simple docstring'''



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


					def lowerCamelCase_			(						self				:			Tuple      ,						lowerCamelCase_				:			Any						):

							'''simple docstring'''



							return self.decoder.get(lowerCamelCase_						)


					def lowerCamelCase_			(						self				:			List[Any]      ,						lowerCamelCase_				:			List[Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				List[Any]		=			"""""".join(lowerCamelCase_						)
							SCREAMING_SNAKE_CASE :				List[Any]		=			bytearray([self.byte_decoder[c] for c in text]						).decode("""utf-8"""      ,						errors=self.errors						)
							return text


					def lowerCamelCase_			(						self				:			int      ,						lowerCamelCase_				:			str      ,						lowerCamelCase_				:			Optional[str] = None						):

							'''simple docstring'''



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

							SCREAMING_SNAKE_CASE :				str		=			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!"""						)
													SCREAMING_SNAKE_CASE :				Tuple		=			token_index
											writer.write(""" """.join(lowerCamelCase_						) + """\n"""						)
											index += 1

							return vocab_file, merge_file


					def lowerCamelCase_			(						self				:			str      ,						lowerCamelCase_				:			List[int]      ,						lowerCamelCase_				:			Optional[List[int]] = None						):

							'''simple docstring'''



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


					def lowerCamelCase_			(						self				:			Dict      ,						lowerCamelCase_				:			List[int]      ,						lowerCamelCase_				:			Optional[List[int]] = None      ,						lowerCamelCase_				:			bool = False						):

							'''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				:			List[Any]      ,						lowerCamelCase_				:			List[int]      ,						lowerCamelCase_				:			Optional[List[int]] = None						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Tuple		=			[self.sep_token_id]
							SCREAMING_SNAKE_CASE :				Tuple		=			[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				:			Union[str, Any]      ,						lowerCamelCase_				:			Any      ,						lowerCamelCase_				:			Optional[Any]=False      ,						**lowerCamelCase_				:			List[Any]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				List[str]		=			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()):
									SCREAMING_SNAKE_CASE :				int		=			""" """ + text
							return (text, kwargs)










'''simple docstring'''




from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


__UpperCAmelCase            =       {"""configuration_gpt_neox""": ["""GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTNeoXConfig"""]}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCAmelCase            =       ["""GPTNeoXTokenizerFast"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCAmelCase            =       [
							    """GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """GPTNeoXForCausalLM""",
							    """GPTNeoXForQuestionAnswering""",
							    """GPTNeoXForSequenceClassification""",
							    """GPTNeoXForTokenClassification""",
							    """GPTNeoXLayer""",
							    """GPTNeoXModel""",
							    """GPTNeoXPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_gpt_neox_fast import GPTNeoXTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_gpt_neox import (
														    GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GPTNeoXForCausalLM,
														    GPTNeoXForQuestionAnswering,
														    GPTNeoXForSequenceClassification,
														    GPTNeoXForTokenClassification,
														    GPTNeoXLayer,
														    GPTNeoXModel,
														    GPTNeoXPreTrainedModel,
														)


else:
							import sys

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



