



"""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


__snake_case							:   int      =    logging.get_logger(__name__)


__snake_case							:   Any      =    {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

__snake_case							:   Dict      =    {
    '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'
        ),
    },
}

__snake_case							:   Union[str, Any]      =    {
    '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 			_lowercase				(  )						->   List[str]:
			__lowerCAmelCase      :  List[str]												=       (
			    list(range(ord("!"	)					,ord("~"	) + 1	)	) + list(range(ord("¡"	)					,ord("¬"	) + 1	)	) + list(range(ord("®"	)					,ord("ÿ"	) + 1	)	)
			)
			__lowerCAmelCase      :  Any												=       bs[:]
			__lowerCAmelCase      :  int												=       0
			for b in range(2**8	):
						if b not in bs:
									bs.append(__snake_case	)
									cs.append(2**8 + n	)
									n += 1
			__lowerCAmelCase      :  int												=       [chr(__snake_case	) for n in cs]
			return dict(zip(__snake_case					,__snake_case	)	)


def 			_lowercase				(  __snake_case	)						->   List[Any]:
			__lowerCAmelCase      :  Tuple												=       set()
			__lowerCAmelCase      :  Dict												=       word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)	)
						__lowerCAmelCase      :  str												=       char
			return pairs





class 			A__   (  __SCREAMING_SNAKE_CASE							):




	'''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:		Dict       ,			_SCREAMING_SNAKE_CASE:		Optional[int]       ,			_SCREAMING_SNAKE_CASE:		Union[str, Any]       ,			_SCREAMING_SNAKE_CASE:		Optional[int]="replace"       ,			_SCREAMING_SNAKE_CASE:		Optional[int]="<s>"       ,			_SCREAMING_SNAKE_CASE:		str="</s>"       ,			_SCREAMING_SNAKE_CASE:		str="</s>"       ,			_SCREAMING_SNAKE_CASE:		Tuple="<s>"       ,			_SCREAMING_SNAKE_CASE:		str="<unk>"       ,			_SCREAMING_SNAKE_CASE:		Any="<pad>"       ,			_SCREAMING_SNAKE_CASE:		Union[str, Any]="<mask>"       ,			_SCREAMING_SNAKE_CASE:		Dict=False       ,			**_SCREAMING_SNAKE_CASE:		Any       ,			)				->       str:

				"""simple docstring"""

				__lowerCAmelCase      :  Dict												=       AddedToken(_SCREAMING_SNAKE_CASE       ,			lstrip=_SCREAMING_SNAKE_CASE       ,			rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE       ,			_SCREAMING_SNAKE_CASE) else bos_token
				__lowerCAmelCase      :  str												=       AddedToken(_SCREAMING_SNAKE_CASE       ,			lstrip=_SCREAMING_SNAKE_CASE       ,			rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE       ,			_SCREAMING_SNAKE_CASE) else eos_token
				__lowerCAmelCase      :  Union[str, Any]												=       AddedToken(_SCREAMING_SNAKE_CASE       ,			lstrip=_SCREAMING_SNAKE_CASE       ,			rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE       ,			_SCREAMING_SNAKE_CASE) else sep_token
				__lowerCAmelCase      :  Any												=       AddedToken(_SCREAMING_SNAKE_CASE       ,			lstrip=_SCREAMING_SNAKE_CASE       ,			rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE       ,			_SCREAMING_SNAKE_CASE) else cls_token
				__lowerCAmelCase      :  Optional[int]												=       AddedToken(_SCREAMING_SNAKE_CASE       ,			lstrip=_SCREAMING_SNAKE_CASE       ,			rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE       ,			_SCREAMING_SNAKE_CASE) else unk_token
				__lowerCAmelCase      :  List[str]												=       AddedToken(_SCREAMING_SNAKE_CASE       ,			lstrip=_SCREAMING_SNAKE_CASE       ,			rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE       ,			_SCREAMING_SNAKE_CASE) else pad_token

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

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

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

				# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
				__lowerCAmelCase      :  str												=       re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+")

	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		List[Any])				->       Union[str, Any]:

				"""simple docstring"""

				return len(self.encoder)

	def 							_SCREAMING_SNAKE_CASE   (     self:		Union[str, Any])				->       Union[str, Any]:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[int]       ,			_SCREAMING_SNAKE_CASE:		Any)				->       Optional[int]:

				"""simple docstring"""

				if token in self.cache:
							return self.cache[token]
				__lowerCAmelCase      :  Any												=       tuple(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase      :  Optional[int]												=       get_pairs(_SCREAMING_SNAKE_CASE)

				if not pairs:
							return token

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

										if word[i] == first and i < len(_SCREAMING_SNAKE_CASE) - 1 and word[i + 1] == second:
													new_word.append(first + second)
													i += 2
										else:
													new_word.append(word[i])
													i += 1
							__lowerCAmelCase      :  int												=       tuple(_SCREAMING_SNAKE_CASE)
							__lowerCAmelCase      :  Optional[Any]												=       new_word
							if len(_SCREAMING_SNAKE_CASE) == 1:
										break
							else:
										__lowerCAmelCase      :  Optional[int]												=       get_pairs(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase      :  Tuple												=       " ".join(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase      :  List[str]												=       word
				return word

	def 							_SCREAMING_SNAKE_CASE   (     self:		str       ,			_SCREAMING_SNAKE_CASE:		Any)				->       Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[int]												=       []
				for token in re.findall(self.pat       ,			_SCREAMING_SNAKE_CASE):
							__lowerCAmelCase      :  Any												=       "".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(_SCREAMING_SNAKE_CASE).split(" "))
				return bpe_tokens

	def 							_SCREAMING_SNAKE_CASE   (     self:		Dict       ,			_SCREAMING_SNAKE_CASE:		Dict)				->       Tuple:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE   (     self:		str       ,			_SCREAMING_SNAKE_CASE:		List[str])				->       Dict:

				"""simple docstring"""

				return self.decoder.get(_SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE   (     self:		Any       ,			_SCREAMING_SNAKE_CASE:		List[Any])				->       List[str]:

				"""simple docstring"""

				__lowerCAmelCase      :  str												=       "".join(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase      :  Tuple												=       bytearray([self.byte_decoder[c] for c in text]).decode("utf-8"       ,			errors=self.errors)
				return text

	def 							_SCREAMING_SNAKE_CASE   (     self:		str       ,			_SCREAMING_SNAKE_CASE:		str       ,			_SCREAMING_SNAKE_CASE:		Optional[str] = None)				->       Tuple[str]:

				"""simple docstring"""

				if not os.path.isdir(_SCREAMING_SNAKE_CASE):
							logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
							return
				__lowerCAmelCase      :  Tuple												=       os.path.join(
				    _SCREAMING_SNAKE_CASE       ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
				__lowerCAmelCase      :  Union[str, Any]												=       os.path.join(
				    _SCREAMING_SNAKE_CASE       ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

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

				__lowerCAmelCase      :  Dict												=       0
				with open(_SCREAMING_SNAKE_CASE       ,			"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 _SCREAMING_SNAKE_CASE: 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      :  str												=       token_index
										writer.write(" ".join(_SCREAMING_SNAKE_CASE) + "\n")
										index += 1

				return vocab_file, merge_file

	def 							_SCREAMING_SNAKE_CASE   (     self:		str       ,			_SCREAMING_SNAKE_CASE:		List[int]       ,			_SCREAMING_SNAKE_CASE:		Optional[List[int]] = None)				->       List[int]:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE   (     self:		Any       ,			_SCREAMING_SNAKE_CASE:		List[int]       ,			_SCREAMING_SNAKE_CASE:		Optional[List[int]] = None       ,			_SCREAMING_SNAKE_CASE:		bool = False)				->       List[int]:

				"""simple docstring"""

				if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=_SCREAMING_SNAKE_CASE       ,			token_ids_a=_SCREAMING_SNAKE_CASE       ,			already_has_special_tokens=_SCREAMING_SNAKE_CASE)

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

	def 							_SCREAMING_SNAKE_CASE   (     self:		int       ,			_SCREAMING_SNAKE_CASE:		List[int]       ,			_SCREAMING_SNAKE_CASE:		Optional[List[int]] = None)				->       List[int]:

				"""simple docstring"""

				__lowerCAmelCase      :  Any												=       [self.sep_token_id]
				__lowerCAmelCase      :  List[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 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any]       ,			_SCREAMING_SNAKE_CASE:		Optional[Any]       ,			_SCREAMING_SNAKE_CASE:		str=False       ,			**_SCREAMING_SNAKE_CASE:		Any)				->       List[str]:

				"""simple docstring"""

				__lowerCAmelCase      :  Dict												=       kwargs.pop("add_prefix_space"       ,			self.add_prefix_space)
				if (is_split_into_words or add_prefix_space) and (len(_SCREAMING_SNAKE_CASE) > 0 and not text[0].isspace()):
							__lowerCAmelCase      :  Tuple												=       " " + text
				return (text, kwargs)




"""simple docstring"""






from __future__ import annotations

import time

import numpy as np

__snake_case							:   Optional[Any]      =    [8, 5, 9, 7]
__snake_case							:   List[Any]      =    [
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
__snake_case							:   Optional[int]      =    [
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]



class 			A__   :




	'''simple docstring'''





	def __init__(     self:		Any       ,			_SCREAMING_SNAKE_CASE:		list[int]       ,			_SCREAMING_SNAKE_CASE:		list[list[int]]       ,			_SCREAMING_SNAKE_CASE:		list[list[int]]       ,			)				->       None:

				"""simple docstring"""

				__lowerCAmelCase      :  Any												=       claim_vector
				__lowerCAmelCase      :  Tuple												=       allocated_resources_table
				__lowerCAmelCase      :  Tuple												=       maximum_claim_table

	def 							_SCREAMING_SNAKE_CASE   (     self:		Union[str, Any])				->       list[int]:

				"""simple docstring"""

				return [
				    sum(p_item[i] for p_item in self.__allocated_resources_table)
				    for i in range(len(self.__allocated_resources_table[0]))
				]

	def 							_SCREAMING_SNAKE_CASE   (     self:		int)				->       list[int]:

				"""simple docstring"""

				return np.array(self.__claim_vector) - np.array(
				    self.__processes_resource_summation())

	def 							_SCREAMING_SNAKE_CASE   (     self:		int)				->       list[list[int]]:

				"""simple docstring"""

				return [
				    list(np.array(self.__maximum_claim_table[i]) - np.array(_SCREAMING_SNAKE_CASE))
				    for i, allocated_resource in enumerate(self.__allocated_resources_table)
				]

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[Any])				->       dict[int, list[int]]:

				"""simple docstring"""

				return {self.__need().index(_SCREAMING_SNAKE_CASE): i for i in self.__need()}

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any]       ,			**_SCREAMING_SNAKE_CASE:		List[Any])				->       None:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[int]												=       self.__need()
				__lowerCAmelCase      :  int												=       self.__allocated_resources_table
				__lowerCAmelCase      :  Dict												=       self.__available_resources()
				__lowerCAmelCase      :  str												=       self.__need_index_manager()
				for kw, val in kwargs.items():
							if kw and val is True:
										self.__pretty_data()
				print("_" * 50 + "\n")
				while need_list:
							__lowerCAmelCase      :  int												=       False
							for each_need in need_list:
										__lowerCAmelCase      :  Dict												=       True
										for index, need in enumerate(_SCREAMING_SNAKE_CASE):
													if need > available_resources[index]:
																__lowerCAmelCase      :  Dict												=       False
																break
										if execution:
													__lowerCAmelCase      :  Any												=       True
													# get the original index of the process from ind_ctrl db
													for original_need_index, need_clone in need_index_manager.items():
																if each_need == need_clone:
																			__lowerCAmelCase      :  Union[str, Any]												=       original_need_index
													print(F"""Process {process_number + 1} is executing.""")
													# remove the process run from stack
													need_list.remove(_SCREAMING_SNAKE_CASE)
													# update available/freed resources stack
													__lowerCAmelCase      :  Dict												=       np.array(_SCREAMING_SNAKE_CASE) + np.array(
													    alloc_resources_table[process_number])
													print(
													    "Updated available resource stack for processes: "
													    + " ".join([str(_SCREAMING_SNAKE_CASE) for x in available_resources]))
													break
							if safe:
										print("The process is in a safe state.\n")
							else:
										print("System in unsafe state. Aborting...\n")
										break







	def 							_SCREAMING_SNAKE_CASE   (     self:		Union[str, Any])				->       List[Any]:

				"""simple docstring"""

				print(" " * 9 + "Allocated Resource Table")
				for item in self.__allocated_resources_table:
							print(
							    F"""P{self.__allocated_resources_table.index(_SCREAMING_SNAKE_CASE) + 1}"""
							    + " ".join(F"""{it:>8}""" for it in item)
							    + "\n")
				print(" " * 9 + "System Resource Table")
				for item in self.__maximum_claim_table:
							print(
							    F"""P{self.__maximum_claim_table.index(_SCREAMING_SNAKE_CASE) + 1}"""
							    + " ".join(F"""{it:>8}""" for it in item)
							    + "\n")
				print(
				    "Current Usage by Active Processes: "
				    + " ".join(str(_SCREAMING_SNAKE_CASE) for x in self.__claim_vector))
				print(
				    "Initial Available Resources:       "
				    + " ".join(str(_SCREAMING_SNAKE_CASE) for x in self.__available_resources()))
				time.sleep(1)


if __name__ == "__main__":
	import doctest

	doctest.testmod()