


"""simple docstring"""
import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


UpperCAmelCase				=						NewType("""DataClass""", Any)
UpperCAmelCase				=						NewType("""DataClassType""", Any)

def 				_snake_case      (   __snake_case							:      Dict   ):




   """simple docstring"""







   if isinstance(__snake_case						, __snake_case   ):
      return v
   if v.lower() in ("yes", "true", "t", "y", "1"):
      return True
   elif v.lower() in ("no", "false", "f", "n", "0"):
      return False
   else:
      raise ArgumentTypeError(
          F'Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).'   )

def 				_snake_case      (   __snake_case							:      list   ):




   """simple docstring"""







   _lowerCamelCase	:					int   =		{str(__snake_case   ): choice for choice in choices}
   return lambda __snake_case   : str_to_choice.get(__snake_case						, __snake_case   )

def 				_snake_case      (   *,
    __snake_case							:      Union[str, List[str]] = None						, __snake_case							:      str = None						, __snake_case							:      Any = dataclasses.MISSING						, __snake_case							:      Callable[[], Any] = dataclasses.MISSING						, __snake_case							:      dict = None						, **__snake_case							:      List[str]						, ):




   """simple docstring"""







   if metadata is None:
      # Important, don't use as default param in function signature because dict is mutable and shared across function calls
      _lowerCamelCase	:					str   =		{}
   if aliases is not None:
      _lowerCamelCase	:					Optional[Any]   =		aliases
   if help is not None:
      _lowerCamelCase	:					Any   =		help

   return dataclasses.field(metadata=__snake_case						, default=__snake_case						, default_factory=__snake_case						, **__snake_case   )





class 	lowercase__				(					A_				):
   __UpperCAmelCase							       =					42





   def __init__(							self      ,   SCREAMING_SNAKE_CASE      ,   **SCREAMING_SNAKE_CASE)  ->  Optional[Any]:
      # To make the default appear when using --help
      if "formatter_class" not in kwargs:
         _lowerCamelCase	:					Dict   =		ArgumentDefaultsHelpFormatter
      super().__init__(**SCREAMING_SNAKE_CASE)
      if dataclasses.is_dataclass(SCREAMING_SNAKE_CASE):
         _lowerCamelCase	:					Union[str, Any]   =		[dataclass_types]
      _lowerCamelCase	:					Tuple   =		list(SCREAMING_SNAKE_CASE)
      for dtype in self.dataclass_types:
         self._add_dataclass_arguments(SCREAMING_SNAKE_CASE)





   @staticmethod
   def 		UpperCamelCase_  (							SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE)  ->  int:
      _lowerCamelCase	:					Dict   =		F'--{field.name}'
      _lowerCamelCase	:					int   =		field.metadata.copy()
      # field.metadata is not used at all by Data Classes,
      # it is provided as a third-party extension mechanism.
      if isinstance(field.type      ,   SCREAMING_SNAKE_CASE):
         raise RuntimeError(
             """Unresolved type detected, which should have been done with the help of """
             """`typing.get_type_hints` method by default""")

      _lowerCamelCase	:					Any   =		kwargs.pop("""aliases"""      ,   [])
      if isinstance(SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE):
         _lowerCamelCase	:					Optional[Any]   =		[aliases]

      _lowerCamelCase	:					Optional[int]   =		getattr(field.type      ,   """__origin__"""      ,   field.type)
      if origin_type is Union or (hasattr(SCREAMING_SNAKE_CASE      ,   """UnionType""") and isinstance(SCREAMING_SNAKE_CASE      ,   types.UnionType)):
         if str not in field.type.__args__ and (
             len(field.type.__args__) != 2 or type(SCREAMING_SNAKE_CASE) not in field.type.__args__
         ):
            raise ValueError(
                """Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because"""
                """ the argument parser only supports one type per argument."""
                F' Problem encountered in field \'{field.name}\'.')
         if type(SCREAMING_SNAKE_CASE) not in field.type.__args__:
            # filter `str` in Union
            _lowerCamelCase	:					Optional[Any]   =		field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
            _lowerCamelCase	:					Union[str, Any]   =		getattr(field.type      ,   """__origin__"""      ,   field.type)
         elif bool not in field.type.__args__:
            # filter `NoneType` in Union (except for `Union[bool, NoneType]`)
            _lowerCamelCase	:					List[str]   =		(
                field.type.__args__[0] if isinstance(SCREAMING_SNAKE_CASE      ,   field.type.__args__[1]) else field.type.__args__[1]
            )
            _lowerCamelCase	:					Tuple   =		getattr(field.type      ,   """__origin__"""      ,   field.type)

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
      _lowerCamelCase	:					Dict   =		{}
      if origin_type is Literal or (isinstance(field.type      ,   SCREAMING_SNAKE_CASE) and issubclass(field.type      ,   SCREAMING_SNAKE_CASE)):
         if origin_type is Literal:
            _lowerCamelCase	:					Union[str, Any]   =		field.type.__args__
         else:
            _lowerCamelCase	:					Optional[int]   =		[x.value for x in field.type]

         _lowerCamelCase	:					int   =		make_choice_type_function(kwargs["""choices"""])

         if field.default is not dataclasses.MISSING:
            _lowerCamelCase	:					Optional[int]   =		field.default
         else:
            _lowerCamelCase	:					Optional[int]   =		True
      elif field.type is bool or field.type == Optional[bool]:
         # Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
         # We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
         _lowerCamelCase	:					Dict   =		copy(SCREAMING_SNAKE_CASE)

         # Hack because type=bool in argparse does not behave as we want.
         _lowerCamelCase	:					List[str]   =		string_to_bool
         if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
            # Default value is False if we have no default when of type bool.
            _lowerCamelCase	:					List[str]   =		False if field.default is dataclasses.MISSING else field.default
            # This is the value that will get picked if we don't include --field_name in any way
            _lowerCamelCase	:					List[Any]   =		default
            # This tells argparse we accept 0 or 1 value after --field_name
            _lowerCamelCase	:					str   =		"""?"""
            # This is the value that will get picked if we do --field_name (without value)
            _lowerCamelCase	:					Dict   =		True
      elif isclass(SCREAMING_SNAKE_CASE) and issubclass(SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE):
         _lowerCamelCase	:					Any   =		field.type.__args__[0]
         _lowerCamelCase	:					Optional[int]   =		"""+"""
         if field.default_factory is not dataclasses.MISSING:
            _lowerCamelCase	:					int   =		field.default_factory()
         elif field.default is dataclasses.MISSING:
            _lowerCamelCase	:					Dict   =		True
      else:
         _lowerCamelCase	:					List[Any]   =		field.type
         if field.default is not dataclasses.MISSING:
            _lowerCamelCase	:					Any   =		field.default
         elif field.default_factory is not dataclasses.MISSING:
            _lowerCamelCase	:					List[Any]   =		field.default_factory()
         else:
            _lowerCamelCase	:					int   =		True
      parser.add_argument(SCREAMING_SNAKE_CASE      ,   *SCREAMING_SNAKE_CASE      ,   **SCREAMING_SNAKE_CASE)

      # Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
      # Order is important for arguments with the same destination!
      # We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
      # here and we do not need those changes/additional keys.
      if field.default is True and (field.type is bool or field.type == Optional[bool]):
         _lowerCamelCase	:					Tuple   =		False
         parser.add_argument(F'--no_{field.name}'      ,   action="""store_false"""      ,   dest=field.name      ,   **SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_  (							self      ,   SCREAMING_SNAKE_CASE)  ->  Any:
      if hasattr(SCREAMING_SNAKE_CASE      ,   """_argument_group_name"""):
         _lowerCamelCase	:					List[Any]   =		self.add_argument_group(dtype._argument_group_name)
      else:
         _lowerCamelCase	:					str   =		self

      try:
         _lowerCamelCase	:					Dict[str, type]   =		get_type_hints(SCREAMING_SNAKE_CASE)
      except NameError:
         raise RuntimeError(
             F'Type resolution failed for {dtype}. Try declaring the class in global scope or '
             """removing line of `from __future__ import annotations` which opts in Postponed """
             """Evaluation of Annotations (PEP 563)""")
      except TypeError as ex:
         # Remove this block when we drop Python 3.9 support
         if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(SCREAMING_SNAKE_CASE):
            _lowerCamelCase	:					Optional[int]   =		""".""".join(map(SCREAMING_SNAKE_CASE      ,   sys.version_info[:3]))
            raise RuntimeError(
                F'Type resolution failed for {dtype} on Python {python_version}. Try removing '
                """line of `from __future__ import annotations` which opts in union types as """
                """`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To """
                """support Python versions that lower than 3.10, you need to use """
                """`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of """
                """`X | None`.""") from ex
         raise

      for field in dataclasses.fields(SCREAMING_SNAKE_CASE):
         if not field.init:
            continue
         _lowerCamelCase	:					Union[str, Any]   =		type_hints[field.name]
         self._parse_dataclass_field(SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_  (							self      ,   SCREAMING_SNAKE_CASE=None      ,   SCREAMING_SNAKE_CASE=False      ,   SCREAMING_SNAKE_CASE=True      ,   SCREAMING_SNAKE_CASE=None      ,   SCREAMING_SNAKE_CASE=None      ,   )  ->  Tuple[DataClass, ...]:

      if args_file_flag or args_filename or (look_for_args_file and len(sys.argv)):
         _lowerCamelCase	:					str   =		[]

         if args_filename:
            args_files.append(Path(SCREAMING_SNAKE_CASE))
         elif look_for_args_file and len(sys.argv):
            args_files.append(Path(sys.argv[0]).with_suffix(""".args"""))

         # args files specified via command line flag should overwrite default args files so we add them last
         if args_file_flag:
            # Create special parser just to extract the args_file_flag values
            _lowerCamelCase	:					Optional[Any]   =		ArgumentParser()
            args_file_parser.add_argument(SCREAMING_SNAKE_CASE      ,   type=SCREAMING_SNAKE_CASE      ,   action="""append""")

            # Use only remaining args for further parsing (remove the args_file_flag)
            _lowerCamelCase   ,    _lowerCamelCase	:					int   =		args_file_parser.parse_known_args(args=SCREAMING_SNAKE_CASE)
            _lowerCamelCase	:					List[Any]   =		vars(SCREAMING_SNAKE_CASE).get(args_file_flag.lstrip("""-""")      ,   SCREAMING_SNAKE_CASE)

            if cmd_args_file_paths:
               args_files.extend([Path(SCREAMING_SNAKE_CASE) for p in cmd_args_file_paths])

         _lowerCamelCase	:					List[str]   =		[]
         for args_file in args_files:
            if args_file.exists():
               file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
         _lowerCamelCase	:					Optional[int]   =		file_args + args if args is not None else file_args + sys.argv[1:]
      _lowerCamelCase   ,    _lowerCamelCase	:					Tuple   =		self.parse_known_args(args=SCREAMING_SNAKE_CASE)
      _lowerCamelCase	:					Union[str, Any]   =		[]
      for dtype in self.dataclass_types:
         _lowerCamelCase	:					str   =		{f.name for f in dataclasses.fields(SCREAMING_SNAKE_CASE) if f.init}
         _lowerCamelCase	:					str   =		{k: v for k, v in vars(SCREAMING_SNAKE_CASE).items() if k in keys}
         for k in keys:
            delattr(SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE)
         _lowerCamelCase	:					List[str]   =		dtype(**SCREAMING_SNAKE_CASE)
         outputs.append(SCREAMING_SNAKE_CASE)
      if len(namespace.__dict__) > 0:
         # additional namespace.
         outputs.append(SCREAMING_SNAKE_CASE)
      if return_remaining_strings:
         return (*outputs, remaining_args)
      else:
         if remaining_args:
            raise ValueError(F'Some specified arguments are not used by the HfArgumentParser: {remaining_args}')

         return (*outputs,)





   def 		UpperCamelCase_  (							self      ,   SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE = False)  ->  Tuple[DataClass, ...]:
      _lowerCamelCase	:					List[str]   =		set(args.keys())
      _lowerCamelCase	:					List[Any]   =		[]
      for dtype in self.dataclass_types:
         _lowerCamelCase	:					Dict   =		{f.name for f in dataclasses.fields(SCREAMING_SNAKE_CASE) if f.init}
         _lowerCamelCase	:					Union[str, Any]   =		{k: v for k, v in args.items() if k in keys}
         unused_keys.difference_update(inputs.keys())
         _lowerCamelCase	:					Any   =		dtype(**SCREAMING_SNAKE_CASE)
         outputs.append(SCREAMING_SNAKE_CASE)
      if not allow_extra_keys and unused_keys:
         raise ValueError(F'Some keys are not used by the HfArgumentParser: {sorted(SCREAMING_SNAKE_CASE)}')
      return tuple(SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_  (							self      ,   SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE = False)  ->  Tuple[DataClass, ...]:
      with open(Path(SCREAMING_SNAKE_CASE)      ,   encoding="""utf-8""") as open_json_file:
         _lowerCamelCase	:					Optional[int]   =		json.loads(open_json_file.read())
      _lowerCamelCase	:					Optional[Any]   =		self.parse_dict(SCREAMING_SNAKE_CASE      ,   allow_extra_keys=SCREAMING_SNAKE_CASE)
      return tuple(SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_  (							self      ,   SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE = False)  ->  Tuple[DataClass, ...]:
      _lowerCamelCase	:					Optional[int]   =		self.parse_dict(yaml.safe_load(Path(SCREAMING_SNAKE_CASE).read_text())      ,   allow_extra_keys=SCREAMING_SNAKE_CASE)
      return tuple(SCREAMING_SNAKE_CASE)






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     __a			:



	def __init__(    self				:     Tuple					,						snake_case_				:     list[int]					,						snake_case_				:     list[list[int]]					,						snake_case_				:     list[list[int]]					,						)->				None:
						__lowerCAmelCase						 =claim_vector
						__lowerCAmelCase						 =allocated_resources_table
						__lowerCAmelCase						 =maximum_claim_table



	def 		UpperCamelCase				(    self				:     Optional[int])->				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 		UpperCamelCase				(    self				:     Dict)->				list[int]:
						return np.array(self.__claim_vector) - np.array(
						    self.__processes_resource_summation())



	def 		UpperCamelCase				(    self				:     Optional[Any])->				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 		UpperCamelCase				(    self				:     Dict)->				dict[int, list[int]]:
						return {self.__need().index(snake_case_): i for i in self.__need()}



	def 		UpperCamelCase				(    self				:     Optional[Any]					,						**snake_case_				:     Optional[Any])->				None:
						__lowerCAmelCase						 =self.__need()
						__lowerCAmelCase						 =self.__allocated_resources_table
						__lowerCAmelCase						 =self.__available_resources()
						__lowerCAmelCase						 =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						 =False
											for each_need in need_list:
																__lowerCAmelCase						 =True
																for index, need in enumerate(snake_case_):
																					if need > available_resources[index]:
																										__lowerCAmelCase						 =False
																										break
																if execution:
																					__lowerCAmelCase						 =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						 =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
																					__lowerCAmelCase						 =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 		UpperCamelCase				(    self				:     List[str])->				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()




