




"""simple docstring"""

import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a         =      logging.get_logger(__name__)

a         =      {
    '''vocab_file''': '''vocab.txt''',
    '''merges_file''': '''bpe.codes''',
}

a         =      {
    '''vocab_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt''',
    },
    '''merges_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes''',
    },
}

a         =      {
    '''vinai/phobert-base''': 256,
    '''vinai/phobert-large''': 256,
}






def 						_snake_case					( _snake_case							: str							)   -> Optional[Any]:






      '''simple docstring'''


      _A        =       set()
      _A        =       word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)							)
            _A        =       char

      _A        =       set(_snake_case							)
      return pairs







class     lowercase_	(					snake_case_							):



 '''simple docstring'''
 UpperCAmelCase   :					Tuple				  =     VOCAB_FILES_NAMES
 UpperCAmelCase   :					List[str]				  =     PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase   :					int				  =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

 def __init__(			self	:	List[Any]   ,							_UpperCAmelCase	:	Optional[int]   ,							_UpperCAmelCase	:	List[Any]   ,							_UpperCAmelCase	:	Dict="<s>"   ,							_UpperCAmelCase	:	Optional[Any]="</s>"   ,							_UpperCAmelCase	:	Dict="</s>"   ,							_UpperCAmelCase	:	Dict="<s>"   ,							_UpperCAmelCase	:	Dict="<unk>"   ,							_UpperCAmelCase	:	List[Any]="<pad>"   ,							_UpperCAmelCase	:	Optional[Any]="<mask>"   ,							**_UpperCAmelCase	:	str   ,							):
       super().__init__(
           bos_token=_UpperCAmelCase   ,							eos_token=_UpperCAmelCase   ,							unk_token=_UpperCAmelCase   ,							sep_token=_UpperCAmelCase   ,							cls_token=_UpperCAmelCase   ,							pad_token=_UpperCAmelCase   ,							mask_token=_UpperCAmelCase   ,							**_UpperCAmelCase   ,							)

       _A        =       vocab_file
       _A        =       merges_file

       _A        =       {}
       _A        =       0
       _A        =       1
       _A        =       2
       _A        =       3

       self.add_from_file(_UpperCAmelCase		)

       _A        =       {v: k for k, v in self.encoder.items()}

       with open(_UpperCAmelCase   ,							encoding='utf-8'		) as merges_handle:
             _A        =       merges_handle.read().split('\n'		)[:-1]
       _A        =       [tuple(merge.split()[:-1]		) for merge in merges]
       _A        =       dict(zip(_UpperCAmelCase   ,							range(len(_UpperCAmelCase		)		)		)		)
       _A        =       {}

 def       lowerCAmelCase_							(			self	:	Union[str, Any]   ,							_UpperCAmelCase	:	List[int]   ,							_UpperCAmelCase	:	Optional[List[int]] = None		):





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

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





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

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

 def       lowerCAmelCase_							(			self	:	Dict   ,							_UpperCAmelCase	:	List[int]   ,							_UpperCAmelCase	:	Optional[List[int]] = None		):
       _A        =       [self.sep_token_id]
       _A        =       [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]

 @property
 def       lowerCAmelCase_							(			self	:	str		):
       return len(self.encoder		)

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

 def       lowerCAmelCase_							(			self	:	List[str]   ,							_UpperCAmelCase	:	Tuple		):





       if token in self.cache:
             return self.cache[token]
       _A        =       tuple(_UpperCAmelCase		)
       _A        =       tuple(list(word[:-1]		) + [word[-1] + '</w>']		)
       _A        =       get_pairs(_UpperCAmelCase		)

       if not pairs:
             return token

       while True:
             _A        =       min(_UpperCAmelCase   ,							key=lambda _UpperCAmelCase		: self.bpe_ranks.get(_UpperCAmelCase   ,							float('inf'		)		)		)
             if bigram not in self.bpe_ranks:
                   break
             _A        =       bigram
             _A        =       []
             _A        =       0
             while i < len(_UpperCAmelCase		):
                   try:
                         _A        =       word.index(_UpperCAmelCase   ,							_UpperCAmelCase		)
                   except ValueError:
                         new_word.extend(word[i:]		)
                         break
                   else:
                         new_word.extend(word[i:j]		)
                         _A        =       j

                   if word[i] == first and i < len(_UpperCAmelCase		) - 1 and word[i + 1] == second:
                         new_word.append(first + second		)
                         i += 2
                   else:
                         new_word.append(word[i]		)
                         i += 1
             _A        =       tuple(_UpperCAmelCase		)
             _A        =       new_word
             if len(_UpperCAmelCase		) == 1:
                   break
             else:
                   _A        =       get_pairs(_UpperCAmelCase		)
       _A        =       '@@ '.join(_UpperCAmelCase		)
       _A        =       word[:-4]
       _A        =       word
       return word

 def       lowerCAmelCase_							(			self	:	List[Any]   ,							_UpperCAmelCase	:	Any		):
       _A        =       []

       _A        =       re.findall(r'\S+\n?'   ,							_UpperCAmelCase		)

       for token in words:
             split_tokens.extend(list(self.bpe(_UpperCAmelCase		).split(' '		)		)		)
       return split_tokens

 def       lowerCAmelCase_							(			self	:	Dict   ,							_UpperCAmelCase	:	Tuple		):
       return self.encoder.get(_UpperCAmelCase   ,							self.encoder.get(self.unk_token		)		)

 def       lowerCAmelCase_							(			self	:	str   ,							_UpperCAmelCase	:	Any		):
       return self.decoder.get(_UpperCAmelCase   ,							self.unk_token		)

 def       lowerCAmelCase_							(			self	:	str   ,							_UpperCAmelCase	:	List[Any]		):
       _A        =       ' '.join(_UpperCAmelCase		).replace('@@ '   ,							''		).strip()
       return out_string

 def       lowerCAmelCase_							(			self	:	Tuple   ,							_UpperCAmelCase	:	str   ,							_UpperCAmelCase	:	Optional[str] = None		):





       if not os.path.isdir(_UpperCAmelCase		):
             logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''		)
             return
       _A        =       os.path.join(
           _UpperCAmelCase   ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
       _A        =       os.path.join(
           _UpperCAmelCase   ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']		)

       if os.path.abspath(self.vocab_file		) != os.path.abspath(_UpperCAmelCase		):
             copyfile(self.vocab_file   ,							_UpperCAmelCase		)

       if os.path.abspath(self.merges_file		) != os.path.abspath(_UpperCAmelCase		):
             copyfile(self.merges_file   ,							_UpperCAmelCase		)

       return out_vocab_file, out_merge_file



 def       lowerCAmelCase_							(			self	:	List[str]   ,							_UpperCAmelCase	:	Optional[int]		):





       if isinstance(_UpperCAmelCase   ,							_UpperCAmelCase		):
             try:
                   with open(_UpperCAmelCase   ,							'r'   ,							encoding='utf-8'		) as fd:
                         self.add_from_file(_UpperCAmelCase		)
             except FileNotFoundError as fnfe:
                   raise fnfe
             except UnicodeError:
                   raise Exception(F'''Incorrect encoding detected in {f}, please rebuild the dataset'''		)
             return

       _A        =       f.readlines()
       for lineTmp in lines:
             _A        =       lineTmp.strip()
             _A        =       line.rfind(' '		)
             if idx == -1:
                   raise ValueError('Incorrect dictionary format, expected \'<token> <cnt>\''		)
             _A        =       line[:idx]
             _A        =       len(self.encoder		)





"""simple docstring"""

from __future__ import annotations

import time

import numpy as np

a         =      [8, 5, 9, 7]
a         =      [
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
a         =      [
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]





class     lowercase_	:



 '''simple docstring'''

 def __init__(			self	:	str   ,							_UpperCAmelCase	:	list[int]   ,							_UpperCAmelCase	:	list[list[int]]   ,							_UpperCAmelCase	:	list[list[int]]   ,							):
       _A        =       claim_vector
       _A        =       allocated_resources_table
       _A        =       maximum_claim_table

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

 def       lowerCAmelCase_							(			self	:	Tuple		):
       return np.array(self.__claim_vector		) - np.array(
           self.__processes_resource_summation()		)

 def       lowerCAmelCase_							(			self	:	List[Any]		):
       return [
           list(np.array(self.__maximum_claim_table[i]		) - np.array(_UpperCAmelCase		)		)
           for i, allocated_resource in enumerate(self.__allocated_resources_table		)
       ]

 def       lowerCAmelCase_							(			self	:	List[Any]		):
       return {self.__need().index(_UpperCAmelCase		): i for i in self.__need()}

 def       lowerCAmelCase_							(			self	:	List[str]   ,							**_UpperCAmelCase	:	int		):
       _A        =       self.__need()
       _A        =       self.__allocated_resources_table
       _A        =       self.__available_resources()
       _A        =       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:
             _A        =       False
             for each_need in need_list:
                   _A        =       True
                   for index, need in enumerate(_UpperCAmelCase		):
                         if need > available_resources[index]:
                               _A        =       False
                               break
                   if execution:
                         _A        =       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:
                                     _A        =       original_need_index
                         print(F'''Process {process_number + 1} is executing.'''		)
                         # remove the process run from stack
                         need_list.remove(_UpperCAmelCase		)
                         # update available/freed resources stack
                         _A        =       np.array(_UpperCAmelCase		) + np.array(
                             alloc_resources_table[process_number]		)
                         print(
                             'Updated available resource stack for processes: '
                             + ' '.join([str(_UpperCAmelCase		) 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       lowerCAmelCase_							(			self	:	Union[str, Any]		):
       print(' ' * 9 + 'Allocated Resource Table'		)
       for item in self.__allocated_resources_table:
             print(
                 F'''P{self.__allocated_resources_table.index(_UpperCAmelCase		) + 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(_UpperCAmelCase		) + 1}'''
                 + ' '.join(F'''{it:>8}''' for it in item		)
                 + '\n'		)
       print(
           'Current Usage by Active Processes: '
           + ' '.join(str(_UpperCAmelCase		) for x in self.__claim_vector		)		)
       print(
           'Initial Available Resources:       '
           + ' '.join(str(_UpperCAmelCase		) for x in self.__available_resources()		)		)
       time.sleep(1		)


if __name__ == "__main__":
       import doctest

       doctest.testmod()

