"""simple docstring"""




from abc import ABC, abstractmethod
from typing import List, Optional
class 						__A							( UpperCamelCase__		):






     def __init__(		self  ):
       # test for the above condition
       self.test()






     def     __A  (		self  ):
       _lowerCAmelCase						:       Dict  			=     0
       _lowerCAmelCase						:       Any  			=     False
       while not completed:
         if counter == 1:
           self.reset()
         _lowerCAmelCase						:       Dict  			=     self.advance()
         if not self.does_advance(lowercase_  ):
           raise Exception(
               """Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."""  )

         _lowerCAmelCase			,	_lowerCAmelCase			,	_lowerCAmelCase						:       Optional[int]  			=     self.update(lowercase_  )
         counter += 1

         if counter > 10000:
           raise Exception("""update() does not fulfill the constraint."""  )

       if self.remaining() != 0:
         raise Exception("""Custom Constraint is not defined correctly."""  )






     @abstractmethod
     def     __A  (		self  ):
       raise NotImplementedError(
           F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."  )






     @abstractmethod
     def     __A  (		self				,     a__  ):
       raise NotImplementedError(
           F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."  )






     @abstractmethod
     def     __A  (		self				,     a__  ):
       raise NotImplementedError(
           F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."  )






     @abstractmethod
     def     __A  (		self  ):
       raise NotImplementedError(
           F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."  )






     @abstractmethod
     def     __A  (		self  ):
       raise NotImplementedError(
           F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."  )






     @abstractmethod
     def     __A  (		self				,     a__=False  ):
       raise NotImplementedError(
           F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."  )







class 						__A							( UpperCamelCase__		):






     def __init__(		self				,     a__  ):
       super(lowercase_				,     self  ).__init__()

       if not isinstance(lowercase_				,     lowercase_  ) or len(lowercase_  ) == 0:
         raise ValueError(F"`token_ids` has to be a non-empty list, but is {token_ids}."  )
       if any((not isinstance(lowercase_				,     lowercase_  ) or token_id < 0) for token_id in token_ids  ):
         raise ValueError(F"Each list in `token_ids` has to be a list of positive integers, but is {token_ids}."  )

       _lowerCAmelCase						:       Optional[Any]  			=     token_ids

       _lowerCAmelCase						:       Union[str, Any]  			=     len(self.token_ids  )
       _lowerCAmelCase						:       Any  			=     -1  # the index of the currently fulfilled step
       _lowerCAmelCase						:       Optional[int]  			=     False






     def     __A  (		self  ):
       if self.completed:
         return None
       return self.token_ids[self.fulfilled_idx + 1]






     def     __A  (		self				,     a__  ):
       if not isinstance(lowercase_				,     lowercase_  ):
         raise ValueError(F"`token_id` has to be an `int`, but is {token_id} of type {type(lowercase_  )}"  )

       if self.completed:
         return False

       return token_id == self.token_ids[self.fulfilled_idx + 1]






     def     __A  (		self				,     a__  ):
       if not isinstance(lowercase_				,     lowercase_  ):
         raise ValueError(F"`token_id` has to be an `int`, but is {token_id} of type {type(lowercase_  )}"  )

       _lowerCAmelCase						:       Dict  			=     False
       _lowerCAmelCase						:       str  			=     False
       _lowerCAmelCase						:       Tuple  			=     False

       if self.does_advance(lowercase_  ):
         self.fulfilled_idx += 1
         _lowerCAmelCase						:       Optional[int]  			=     True
         if self.fulfilled_idx == (self.seqlen - 1):
           _lowerCAmelCase						:       Union[str, Any]  			=     True
         _lowerCAmelCase						:       Optional[Any]  			=     completed
       else:
         # failed to make progress.
         _lowerCAmelCase						:       List[str]  			=     True
         self.reset()
       return stepped, completed, reset






     def     __A  (		self  ):
       _lowerCAmelCase						:       Optional[Any]  			=     False
       _lowerCAmelCase						:       Tuple  			=     0






     def     __A  (		self  ):
       return self.seqlen - (self.fulfilled_idx + 1)






     def     __A  (		self				,     a__=False  ):
       _lowerCAmelCase						:       Union[str, Any]  			=     PhrasalConstraint(self.token_ids  )

       if stateful:
         _lowerCAmelCase						:       Any  			=     self.seqlen
         _lowerCAmelCase						:       Union[str, Any]  			=     self.fulfilled_idx
         _lowerCAmelCase						:       List[Any]  			=     self.completed

       return new_constraint







class 						__A							:






     def __init__(		self				,     a__				,     a__=True  ):
       _lowerCAmelCase						:       List[Any]  			=     max([len(lowercase_  ) for one in nested_token_ids]  )

       _lowerCAmelCase						:       Tuple  			=     {}
       for token_ids in nested_token_ids:
         _lowerCAmelCase						:       int  			=     root
         for tidx, token_id in enumerate(lowercase_  ):
           if token_id not in level:
             _lowerCAmelCase						:       str  			=     {}

           _lowerCAmelCase						:       Dict  			=     level[token_id]

       if no_subsets and self.has_subsets(lowercase_				,     lowercase_  ):
         raise ValueError(
             """Each list in `nested_token_ids` can't be a complete subset of another list, but is"""
             F" {nested_token_ids}."  )

       _lowerCAmelCase						:       Tuple  			=     root






     def     __A  (		self				,     a__  ):
       _lowerCAmelCase						:       Dict  			=     self.trie

       for current_token in current_seq:
         _lowerCAmelCase						:       Union[str, Any]  			=     start[current_token]

       _lowerCAmelCase						:       Tuple  			=     list(start.keys()  )

       return next_tokens






     def     __A  (		self				,     a__  ):
       _lowerCAmelCase						:       int  			=     self.next_tokens(lowercase_  )

       return len(lowercase_  ) == 0






     def     __A  (		self				,     a__  ):
       _lowerCAmelCase						:       Optional[Any]  			=     list(root.values()  )
       if len(lowercase_  ) == 0:
         return 1
       else:
         return sum([self.count_leaves(lowercase_  ) for nn in next_nodes]  )






     def     __A  (		self				,     a__				,     a__  ):
       _lowerCAmelCase						:       List[str]  			=     self.count_leaves(lowercase_  )
       return len(lowercase_  ) != leaf_count







class 						__A							( UpperCamelCase__		):






     def __init__(		self				,     a__  ):
       super(lowercase_				,     self  ).__init__()

       if not isinstance(lowercase_				,     lowercase_  ) or len(lowercase_  ) == 0:
         raise ValueError(F"`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}."  )
       if any(not isinstance(lowercase_				,     lowercase_  ) for token_ids in nested_token_ids  ):
         raise ValueError(F"`nested_token_ids` has to be a list of lists, but is {nested_token_ids}."  )
       if any(
           any((not isinstance(lowercase_				,     lowercase_  ) or token_id < 0) for token_id in token_ids  )
           for token_ids in nested_token_ids  ):
         raise ValueError(
             F"Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}."  )

       _lowerCAmelCase						:       Optional[int]  			=     DisjunctiveTrie(lowercase_  )
       _lowerCAmelCase						:       List[str]  			=     nested_token_ids

       _lowerCAmelCase						:       int  			=     self.trie.max_height
       _lowerCAmelCase						:       Any  			=     []
       _lowerCAmelCase						:       Tuple  			=     False






     def     __A  (		self  ):
       _lowerCAmelCase						:       Union[str, Any]  			=     self.trie.next_tokens(self.current_seq  )

       if len(lowercase_  ) == 0:
         return None
       else:
         return token_list






     def     __A  (		self				,     a__  ):
       if not isinstance(lowercase_				,     lowercase_  ):
         raise ValueError(F"`token_id` is supposed to be type `int`, but is {token_id} of type {type(lowercase_  )}"  )

       _lowerCAmelCase						:       Optional[Any]  			=     self.trie.next_tokens(self.current_seq  )

       return token_id in next_tokens






     def     __A  (		self				,     a__  ):
       if not isinstance(lowercase_				,     lowercase_  ):
         raise ValueError(F"`token_id` is supposed to be type `int`, but is {token_id} of type {type(lowercase_  )}"  )

       _lowerCAmelCase						:       List[str]  			=     False
       _lowerCAmelCase						:       str  			=     False
       _lowerCAmelCase						:       Optional[Any]  			=     False

       if self.does_advance(lowercase_  ):
         self.current_seq.append(lowercase_  )
         _lowerCAmelCase						:       Any  			=     True
       else:
         _lowerCAmelCase						:       int  			=     True
         self.reset()

       _lowerCAmelCase						:       Optional[int]  			=     self.trie.reached_leaf(self.current_seq  )
       _lowerCAmelCase						:       Optional[int]  			=     completed

       return stepped, completed, reset






     def     __A  (		self  ):
       _lowerCAmelCase						:       int  			=     False
       _lowerCAmelCase						:       List[Any]  			=     []






     def     __A  (		self  ):
       if self.completed:
         # since this can be completed without reaching max height
         return 0
       else:
         return self.seqlen - len(self.current_seq  )






     def     __A  (		self				,     a__=False  ):
       _lowerCAmelCase						:       Optional[int]  			=     DisjunctiveConstraint(self.token_ids  )

       if stateful:
         _lowerCAmelCase						:       Union[str, Any]  			=     self.seqlen
         _lowerCAmelCase						:       List[Any]  			=     self.current_seq
         _lowerCAmelCase						:       int  			=     self.completed

       return new_constraint







class 						__A							:






     def __init__(		self				,     a__  ):
       _lowerCAmelCase						:       Optional[Any]  			=     constraints

       # max # of steps required to fulfill a given constraint
       _lowerCAmelCase						:       Union[str, Any]  			=     max([c.seqlen for c in constraints]  )
       _lowerCAmelCase						:       List[str]  			=     len(lowercase_  )
       _lowerCAmelCase						:       int  			=     False

       self.init_state()






     def     __A  (		self  ):
       _lowerCAmelCase						:       int  			=     []
       _lowerCAmelCase						:       Tuple  			=     None
       _lowerCAmelCase						:       Tuple  			=     [constraint.copy(stateful=lowercase_  ) for constraint in self.constraints]






     def     __A  (		self  ):
       _lowerCAmelCase						:       Tuple  			=     0
       if self.inprogress_constraint:
         # extra points for having a constraint mid-fulfilled
         add += self.max_seqlen - self.inprogress_constraint.remaining()

       return (len(self.complete_constraints  ) * self.max_seqlen) + add






     def     __A  (		self  ):
       _lowerCAmelCase						:       Union[str, Any]  			=     []
       if self.inprogress_constraint is None:
         for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
           _lowerCAmelCase						:       List[Any]  			=     constraint.advance()
           if isinstance(lowercase_				,     lowercase_  ):
             token_list.append(lowercase_  )
           elif isinstance(lowercase_				,     lowercase_  ):
             token_list.extend(lowercase_  )
       else:
         _lowerCAmelCase						:       Union[str, Any]  			=     self.inprogress_constraint.advance()
         if isinstance(lowercase_				,     lowercase_  ):
           token_list.append(lowercase_  )
         elif isinstance(lowercase_				,     lowercase_  ):
           token_list.extend(lowercase_  )

       if len(lowercase_  ) == 0:
         return None
       else:
         return token_list






     def     __A  (		self				,     a__  ):
       self.init_state()

       if token_ids is not None:
         for token in token_ids:
           # completes or steps **one** constraint
           _lowerCAmelCase			,	_lowerCAmelCase						:       List[Any]  			=     self.add(lowercase_  )

           # the entire list of constraints are fulfilled
           if self.completed:
             break






     def     __A  (		self				,     a__  ):
       if not isinstance(lowercase_				,     lowercase_  ):
         raise ValueError(F"`token_id` should be an `int`, but is `{token_id}`."  )

       _lowerCAmelCase			,	_lowerCAmelCase						:       int  			=     False, False

       if self.completed:
         _lowerCAmelCase						:       int  			=     True
         _lowerCAmelCase						:       Tuple  			=     False
         return complete, stepped

       if self.inprogress_constraint is not None:
         # In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
         # job, simply update the state

         _lowerCAmelCase			,	_lowerCAmelCase			,	_lowerCAmelCase						:       Optional[Any]  			=     self.inprogress_constraint.update(lowercase_  )
         if reset:
           # 1. If the next token breaks the progress, then we must restart.
           #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

           #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
           #     constraint, not the full list of constraints.

           self.pending_constraints.append(self.inprogress_constraint.copy(stateful=lowercase_  )  )
           _lowerCAmelCase						:       Optional[Any]  			=     None

         if complete:
           # 2. If the next token completes the constraint, move it to completed list, set
           #     inprogress to None. If there are no pending constraints either, then this full list of constraints
           #     is complete.

           self.complete_constraints.append(self.inprogress_constraint  )
           _lowerCAmelCase						:       Union[str, Any]  			=     None

           if len(self.pending_constraints  ) == 0:
             # we're done!
             _lowerCAmelCase						:       List[str]  			=     True

       else:
         # Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
         # of constraints?

         for cidx, pending_constraint in enumerate(self.pending_constraints  ):
           if pending_constraint.does_advance(lowercase_  ):
             _lowerCAmelCase			,	_lowerCAmelCase			,	_lowerCAmelCase						:       int  			=     pending_constraint.update(lowercase_  )

             if not stepped:
               raise Exception(
                   """`constraint.update(token_id)` is not yielding incremental progress, """
                   """even though `constraint.does_advance(token_id)` is true."""  )

             if complete:
               self.complete_constraints.append(lowercase_  )
               _lowerCAmelCase						:       str  			=     None

             if not complete and stepped:
               _lowerCAmelCase						:       Dict  			=     pending_constraint

             if complete or stepped:
               # If we made any progress at all, then it's at least not a "pending constraint".

               _lowerCAmelCase						:       Optional[Any]  			=     (
                   self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
               )

               if len(self.pending_constraints  ) == 0 and self.inprogress_constraint is None:
                 # If there's no longer any pending after this and no inprogress either, then we must be
                 # complete.

                 _lowerCAmelCase						:       Union[str, Any]  			=     True

               break  # prevent accidentally stepping through multiple constraints with just one token.

       return complete, stepped






     def     __A  (		self				,     a__=True  ):
       _lowerCAmelCase						:       Optional[int]  			=     ConstraintListState(self.constraints  )  # we actually never though self.constraints objects
       # throughout this process. So it's at initialization state.

       if stateful:
         _lowerCAmelCase						:       List[Any]  			=     [
             constraint.copy(stateful=lowercase_  ) for constraint in self.complete_constraints
         ]
         if self.inprogress_constraint is not None:
           _lowerCAmelCase						:       List[Any]  			=     self.inprogress_constraint.copy(stateful=lowercase_  )
         _lowerCAmelCase						:       str  			=     [constraint.copy() for constraint in self.pending_constraints]

       return new_state











'''simple docstring'''

from __future__ import annotations

import time

import numpy as np

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






class    UpperCAmelCase	:
 def __init__(				self      :Optional[int]						,       lowercase_      :list[int]						,       lowercase_      :list[list[int]]						,       lowercase_      :list[list[int]]						,       )->							None:
     A__				=			claim_vector
     A__				=			allocated_resources_table
     A__				=			maximum_claim_table
 def      UpperCAmelCase_							(				self      :Union[str, 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      UpperCAmelCase_							(				self      :Tuple							)->							list[int]:
     return np.array(self.__claim_vector							) - np.array(
         self.__processes_resource_summation()							)
 def      UpperCAmelCase_							(				self      :Dict							)->							list[list[int]]:
     return [
         list(np.array(self.__maximum_claim_table[i]							) - np.array(lowercase_							)							)
         for i, allocated_resource in enumerate(self.__allocated_resources_table							)
     ]
 def      UpperCAmelCase_							(				self      :Any							)->							dict[int, list[int]]:
     return {self.__need().index(lowercase_							): i for i in self.__need()}
 def      UpperCAmelCase_							(				self      :Tuple						,       **lowercase_      :List[str]							)->							None:
     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(lowercase_							):
                 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(lowercase_							)
                 # update available/freed resources stack
                 A__				=			np.array(lowercase_							) + np.array(
                     alloc_resources_table[process_number]							)
                 print(
                     "Updated available resource stack for processes: "
                     + " ".join([str(lowercase_							) 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      :Optional[Any]							)->							Tuple:
     print(" " * 9 + "Allocated Resource Table"							)
     for item in self.__allocated_resources_table:
         print(
             F"P{self.__allocated_resources_table.index(lowercase_							) + 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(lowercase_							) + 1}"
             + " ".join(F"{it:>8}" for it in item							)
             + "\n"							)
     print(
         "Current Usage by Active Processes: "
         + " ".join(str(lowercase_							) for x in self.__claim_vector							)							)
     print(
         "Initial Available Resources:       "
         + " ".join(str(lowercase_							) for x in self.__available_resources()							)							)
     time.sleep(1							)


if __name__ == "__main__":
  import doctest

  doctest.testmod()



