


'''simple docstring'''






import html

from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from ...utils import is_bsa_available, logging, requires_backends


if is_bsa_available():
 import bsa
 from bsa import BeautifulSoup


lowercase				=logging.get_logger(__name__)






class    __magic_name__				(						lowerCAmelCase							):






       def __init__(     self    ,				**snake_case)		->    List[str]:




          '''simple docstring'''
          requires_backends(self    ,				['bs4'])
          super().__init__(**snake_case)






       def      lowerCAmelCase						(     self    ,				snake_case)		->    Dict:




          '''simple docstring'''
          _UpperCAmelCase  :  str				       =[]
          _UpperCAmelCase  :  Dict				       =[]
          _UpperCAmelCase  :  Dict				       =element if element.name else element.parent
          for parent in child.parents:  # type: bs4.element.Tag
             _UpperCAmelCase  :  Optional[Any]				       =parent.find_all(child.name    ,				recursive=snake_case)
             xpath_tags.append(child.name)
             xpath_subscripts.append(
                 0 if 1 == len(snake_case) else next(i for i, s in enumerate(snake_case    ,				1) if s is child))
             _UpperCAmelCase  :  Optional[Any]				       =parent
          xpath_tags.reverse()
          xpath_subscripts.reverse()
          return xpath_tags, xpath_subscripts






       def      lowerCAmelCase						(     self    ,				snake_case)		->    Optional[int]:




          '''simple docstring'''
          _UpperCAmelCase  :  Tuple				       =BeautifulSoup(snake_case    ,				'html.parser')

          _UpperCAmelCase  :  List[str]				       =[]
          _UpperCAmelCase  :  List[str]				       =[]
          _UpperCAmelCase  :  Dict				       =[]

          for element in html_code.descendants:
             if type(snake_case) == bsa.element.NavigableString:
                if type(element.parent) != bsa.element.Tag:
                   continue

                _UpperCAmelCase  :  Tuple				       =html.unescape(snake_case).strip()
                if not text_in_this_tag:
                   continue

                all_doc_strings.append(snake_case)

                _UpperCAmelCase       ,			_UpperCAmelCase  :  List[str]				       =self.xpath_soup(snake_case)
                stringaxtag_seq.append(snake_case)
                stringaxsubs_seq.append(snake_case)

          if len(snake_case) != len(snake_case):
             raise ValueError('Number of doc strings and xtags does not correspond')
          if len(snake_case) != len(snake_case):
             raise ValueError('Number of doc strings and xsubs does not correspond')

          return all_doc_strings, stringaxtag_seq, stringaxsubs_seq






       def      lowerCAmelCase						(     self    ,				snake_case    ,				snake_case)		->    int:




          '''simple docstring'''
          _UpperCAmelCase  :  int				       =''
          for tagname, subs in zip(snake_case    ,				snake_case):
             xpath += f"/{tagname}"
             if subs != 0:
                xpath += f"[{subs}]"
          return xpath






       def __call__(     self    ,				snake_case)		->    BatchFeature:




          '''simple docstring'''
          _UpperCAmelCase  :  Tuple				       =False

          # Check that strings has a valid type
          if isinstance(snake_case    ,				snake_case):
             _UpperCAmelCase  :  Tuple				       =True
          elif isinstance(snake_case    ,				(list, tuple)):
             if len(snake_case) == 0 or isinstance(html_strings[0]    ,				snake_case):
                _UpperCAmelCase  :  Dict				       =True

          if not valid_strings:
             raise ValueError(
                 'HTML strings must of type `str`, `List[str]` (batch of examples), '
                 f"but is of type {type(snake_case)}.")

          _UpperCAmelCase  :  Dict				       =bool(isinstance(snake_case    ,				(list, tuple)) and (isinstance(html_strings[0]    ,				snake_case)))

          if not is_batched:
             _UpperCAmelCase  :  Optional[int]				       =[html_strings]

          # Get nodes + xpaths
          _UpperCAmelCase  :  List[Any]				       =[]
          _UpperCAmelCase  :  str				       =[]
          for html_string in html_strings:
             _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase  :  int				       =self.get_three_from_single(snake_case)
             nodes.append(snake_case)
             _UpperCAmelCase  :  Optional[int]				       =[]
             for node, tag_list, sub_list in zip(snake_case    ,				snake_case    ,				snake_case):
                _UpperCAmelCase  :  int				       =self.construct_xpath(snake_case    ,				snake_case)
                xpath_strings.append(snake_case)
             xpaths.append(snake_case)

          # return as Dict
          _UpperCAmelCase  :  List[Any]				       ={'nodes': nodes, 'xpaths': xpaths}
          _UpperCAmelCase  :  Optional[int]				       =BatchFeature(data=snake_case    ,				tensor_type=snake_case)

          return encoded_inputs





'''simple docstring'''






from __future__ import annotations

import time

import numpy as np

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






class    __magic_name__				:






       def __init__(     self    ,				snake_case    ,				snake_case    ,				snake_case    ,				)		->    None:




          '''simple docstring'''
          _UpperCAmelCase  :  Optional[Any]				       =claim_vector
          _UpperCAmelCase  :  Optional[int]				       =allocated_resources_table
          _UpperCAmelCase  :  int				       =maximum_claim_table






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




          '''simple docstring'''
          return np.array(self.__claim_vector) - np.array(
              self.__processes_resource_summation())






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




          '''simple docstring'''
          return [
              list(np.array(self.__maximum_claim_table[i]) - np.array(snake_case))
              for i, allocated_resource in enumerate(self.__allocated_resources_table)
          ]






       def      lowerCAmelCase						(     self)		->    dict[int, list[int]]:




          '''simple docstring'''
          return {self.__need().index(snake_case): i for i in self.__need()}






       def      lowerCAmelCase						(     self    ,				**snake_case)		->    None:




          '''simple docstring'''
          _UpperCAmelCase  :  Any				       =self.__need()
          _UpperCAmelCase  :  str				       =self.__allocated_resources_table
          _UpperCAmelCase  :  Dict				       =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('_' * 5_0 + '\n')
          while need_list:
             _UpperCAmelCase  :  Any				       =False
             for each_need in need_list:
                _UpperCAmelCase  :  Any				       =True
                for index, need in enumerate(snake_case):
                   if need > available_resources[index]:
                      _UpperCAmelCase  :  Optional[int]				       =False
                      break
                if execution:
                   _UpperCAmelCase  :  Union[str, 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:
                         _UpperCAmelCase  :  List[str]				       =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  :  Any				       =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      lowerCAmelCase						(     self)		->    Dict:




          '''simple docstring'''
          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()

