



import os
from typing import List, Optional, Union

from ...tokenization_utils import PreTrainedTokenizer
from ...tokenization_utils_base import AddedToken
from ...utils import logging


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

UpperCamelCase__:     Tuple										=    {"vocab_file": "vocab.txt"}

UpperCamelCase__:     Dict										=    {
    "vocab_file": {
        "facebook/esm2_t6_8M_UR50D": "https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt",
        "facebook/esm2_t12_35M_UR50D": "https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt",
    },
}

UpperCamelCase__:     List[Any]										=    {
    "facebook/esm2_t6_8M_UR50D": 1024,
    "facebook/esm2_t12_35M_UR50D": 1024,
}


def 				snake_case_  (      _lowerCAmelCase						:		Tuple						)   ->     str:
							with open(_lowerCAmelCase     ,   '''r'''						) as f:
														UpperCAmelCase				: Optional[int]											=	f.read().splitlines()
														return [l.strip() for l in lines]




class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	lowerCamelCase__    				= VOCAB_FILES_NAMES
	lowerCamelCase__    				= PRETRAINED_VOCAB_FILES_MAP
	lowerCamelCase__    				= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCamelCase__    				= ["""input_ids""", """attention_mask"""]







	def __init__(		self    :  Optional[Any]	,    __snake_case    :  Union[str, Any]	,    __snake_case    :  str="<unk>"	,    __snake_case    :  Union[str, Any]="<cls>"	,    __snake_case    :  List[str]="<pad>"	,    __snake_case    :  Tuple="<mask>"	,    __snake_case    :  List[str]="<eos>"	,    **__snake_case    :  Union[str, Any]	,    )    ->	Dict:
								super().__init__(**__snake_case	)
								UpperCAmelCase				: Union[str, Any]											=	load_vocab_file(__snake_case	)
								UpperCAmelCase				: Dict											=	dict(enumerate(self.all_tokens	)	)
								UpperCAmelCase				: Any											=	{tok: ind for ind, tok in enumerate(self.all_tokens	)}
								UpperCAmelCase				: Optional[Any]											=	unk_token
								UpperCAmelCase				: Tuple											=	cls_token
								UpperCAmelCase				: Optional[Any]											=	pad_token
								UpperCAmelCase				: str											=	mask_token
								UpperCAmelCase				: int											=	eos_token
								UpperCAmelCase				: int											=	self.all_tokens
								self._create_trie(self.unique_no_split_tokens	)







	def   A			(		self    :  Dict	,    __snake_case    :  int	)    ->	str:
								return self._id_to_token.get(__snake_case	,    self.unk_token	)







	def   A			(		self    :  Any	,    __snake_case    :  str	)    ->	int:
								return self._token_to_id.get(__snake_case	,    self._token_to_id.get(self.unk_token	)	)







	def   A			(		self    :  Optional[Any]	,    __snake_case    :  Tuple	,    **__snake_case    :  List[str]	)    ->	List[Any]:
								return text.split()







	def   A			(		self    :  List[str]	,    __snake_case    :  Any=False	)    ->	Dict:
								return len(self._id_to_token	)







	def   A			(		self    :  int	)    ->	Dict:
								return {token: i for i, token in enumerate(self.all_tokens	)}







	def   A			(		self    :  str	,    __snake_case    :  str	)    ->	int:
								return self._token_to_id.get(__snake_case	,    self._token_to_id.get(self.unk_token	)	)







	def   A			(		self    :  Optional[Any]	,    __snake_case    :  int	)    ->	str:
								return self._id_to_token.get(__snake_case	,    self.unk_token	)







	def   A			(		self    :  Union[str, Any]	,    __snake_case    :  List[int]	,    __snake_case    :  Optional[List[int]] = None	)    ->	List[int]:
								UpperCAmelCase				: Any											=	[self.cls_token_id]
								UpperCAmelCase				: str											=	[self.eos_token_id]  # No sep token in ESM vocabulary
								if token_ids_a is None:
															if self.eos_token_id is None:
																						return cls + token_ids_a
															else:
																						return cls + token_ids_a + sep
								elif self.eos_token_id is None:
															raise ValueError('''Cannot tokenize multiple sequences when EOS token is not set!'''	)
								return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token







	def   A			(		self    :  Optional[int]	,    __snake_case    :  List	,    __snake_case    :  Optional[List] = None	,    __snake_case    :  bool = False	)    ->	List[int]:
								if already_has_special_tokens:
															if token_ids_a is not None:
																						raise ValueError(
																						    '''You should not supply a second sequence if the provided sequence of '''
																						    '''ids is already formatted with special tokens for the model.'''	)

															return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
								UpperCAmelCase				: Dict											=	[1] + ([0] * len(__snake_case	)) + [1]
								if token_ids_a is not None:
															mask += [0] * len(__snake_case	) + [1]
								return mask







	def   A			(		self    :  List[str]	,    __snake_case    :  List[Any]	,    __snake_case    :  Dict	)    ->	List[str]:
								UpperCAmelCase				: Any											=	os.path.join(__snake_case	,    (filename_prefix + '''-''' if filename_prefix else '''''') + '''vocab.txt'''	)
								with open(__snake_case	,    '''w'''	) as f:
															f.write('''\n'''.join(self.all_tokens	)	)
								return (vocab_file,)







	@property
	def   A			(		self    :  Optional[Any]	)    ->	int:
								return self.get_vocab_size(with_added_tokens=__snake_case	)







	def   A			(		self    :  List[Any]	,    __snake_case    :  Union[List[str], List[AddedToken]]	,    __snake_case    :  bool = False	)    ->	int:
								return super()._add_tokens(__snake_case	,    special_tokens=__snake_case	)










'''simple docstring'''






from __future__ import annotations

import time

import numpy as np

UpperCamelCase__:     Tuple										=    [8, 5, 9, 7]
UpperCamelCase__:     int										=    [
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
UpperCamelCase__:     List[str]										=    [
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]

class        SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	def __init__(		self    :  str	,    __snake_case    :  list[int]	,    __snake_case    :  list[list[int]]	,    __snake_case    :  list[list[int]]	,    )    ->	None:
								UpperCAmelCase				: Union[str, Any]											=	claim_vector
								UpperCAmelCase				: Tuple											=	allocated_resources_table
								UpperCAmelCase				: List[str]											=	maximum_claim_table







	def   A			(		self    :  Optional[Any]	)    ->	list[int]:
								return [
								    sum(p_item[i] for p_item in self.__allocated_resources_table	)
								    for i in range(len(self.__allocated_resources_table[0]	)	)
								]







	def   A			(		self    :  Union[str, Any]	)    ->	list[int]:
								return np.array(self.__claim_vector	) - np.array(
								    self.__processes_resource_summation()	)







	def   A			(		self    :  str	)    ->	list[list[int]]:
								return [
								    list(np.array(self.__maximum_claim_table[i]	) - np.array(__snake_case	)	)
								    for i, allocated_resource in enumerate(self.__allocated_resources_table	)
								]







	def   A			(		self    :  List[Any]	)    ->	dict[int, list[int]]:
								return {self.__need().index(__snake_case	): i for i in self.__need()}







	def   A			(		self    :  Tuple	,    **__snake_case    :  Union[str, Any]	)    ->	None:
								UpperCAmelCase				: Tuple											=	self.__need()
								UpperCAmelCase				: Union[str, Any]											=	self.__allocated_resources_table
								UpperCAmelCase				: int											=	self.__available_resources()
								UpperCAmelCase				: Tuple											=	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:
															UpperCAmelCase				: Dict											=	False
															for each_need in need_list:
																						UpperCAmelCase				: Optional[int]											=	True
																						for index, need in enumerate(__snake_case	):
																													if need > available_resources[index]:
																																				UpperCAmelCase				: List[str]											=	False
																																				break
																						if execution:
																													UpperCAmelCase				: str											=	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:
																																											UpperCAmelCase				: Union[str, Any]											=	original_need_index
																													print(F"""Process {process_number + 1} is executing."""	)
																													# remove the process run from stack
																													need_list.remove(__snake_case	)
																													# update available/freed resources stack
																													UpperCAmelCase				: Optional[int]											=	np.array(__snake_case	) + np.array(
																													    alloc_resources_table[process_number]	)
																													print(
																													    '''Updated available resource stack for processes: '''
																													    + ''' '''.join([str(__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   A			(		self    :  Dict	)    ->	Optional[Any]:
								print(''' ''' * 9 + '''Allocated Resource Table'''	)
								for item in self.__allocated_resources_table:
															print(
															    F"""P{self.__allocated_resources_table.index(__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(__snake_case	) + 1}"""
															    + ''' '''.join(F"""{it:>8}""" for it in item	)
															    + '''\n'''	)
								print(
								    '''Current Usage by Active Processes: '''
								    + ''' '''.join(str(__snake_case	) for x in self.__claim_vector	)	)
								print(
								    '''Initial Available Resources:       '''
								    + ''' '''.join(str(__snake_case	) for x in self.__available_resources()	)	)
								time.sleep(1	)


if __name__ == "__main__":
						import doctest

						doctest.testmod()





