

from abc import ABC, abstractmethod
from typing import List, Optional







class   __lowercase      (_snake_case ):
 def __init__(							self					)					->Optional[int]:



       '''simple docstring'''





       self.test()
 def 	UpperCamelCase__  (							self					)					->Optional[Any]:



       '''simple docstring'''





       __lowerCAmelCase					:						int					=					0
       __lowerCAmelCase					:						Any					=					False
       while not completed:
             if counter == 1:
                   self.reset()
             __lowerCAmelCase					:						int					=					self.advance()
             if not self.does_advance(__snake_case					):
                   raise Exception(
                       '''Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.'''					)

             __lowerCAmelCase					:						List[Any]					=					self.update(__snake_case					)
             counter += 1

             if counter > 1_0000:
                   raise Exception('''update() does not fulfill the constraint.'''					)

       if self.remaining() != 0:
             raise Exception('''Custom Constraint is not defined correctly.'''					)
 @abstractmethod
 def 	UpperCamelCase__  (							self					)					->Optional[int]:



       '''simple docstring'''





       raise NotImplementedError(
           f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""					)
 @abstractmethod
 def 	UpperCamelCase__  (							self      ,							A_					)					->List[str]:



       '''simple docstring'''





       raise NotImplementedError(
           f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""					)
 @abstractmethod
 def 	UpperCamelCase__  (							self      ,							A_					)					->Union[str, Any]:



       '''simple docstring'''





       raise NotImplementedError(
           f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""					)
 @abstractmethod
 def 	UpperCamelCase__  (							self					)					->Optional[Any]:



       '''simple docstring'''





       raise NotImplementedError(
           f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""					)
 @abstractmethod
 def 	UpperCamelCase__  (							self					)					->Union[str, Any]:



       '''simple docstring'''





       raise NotImplementedError(
           f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""					)





 @abstractmethod
 def 	UpperCamelCase__  (							self      ,							A_=False					)					->Dict:



       '''simple docstring'''





       raise NotImplementedError(
           f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""					)







class   __lowercase      (_snake_case ):
 def __init__(							self      ,							A_					)					->Dict:



       '''simple docstring'''





       super(__snake_case      ,							self					).__init__()

       if not isinstance(__snake_case      ,							__snake_case					) or len(__snake_case					) == 0:
             raise ValueError(f"""`token_ids` has to be a non-empty list, but is {token_ids}."""					)
       if any((not isinstance(__snake_case      ,							__snake_case					) 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					:						List[str]					=					len(self.token_ids					)
       __lowerCAmelCase					:						Dict					=					-1  # the index of the currently fulfilled step
       __lowerCAmelCase					:						Dict					=					False
 def 	UpperCamelCase__  (							self					)					->List[Any]:



       '''simple docstring'''





       if self.completed:
             return None
       return self.token_ids[self.fulfilled_idx + 1]
 def 	UpperCamelCase__  (							self      ,							A_					)					->Optional[int]:



       '''simple docstring'''





       if not isinstance(__snake_case      ,							__snake_case					):
             raise ValueError(f"""`token_id` has to be an `int`, but is {token_id} of type {type(__snake_case					)}"""					)

       if self.completed:
             return False

       return token_id == self.token_ids[self.fulfilled_idx + 1]
 def 	UpperCamelCase__  (							self      ,							A_					)					->str:



       '''simple docstring'''





       if not isinstance(__snake_case      ,							__snake_case					):
             raise ValueError(f"""`token_id` has to be an `int`, but is {token_id} of type {type(__snake_case					)}"""					)

       __lowerCAmelCase					:						Tuple					=					False
       __lowerCAmelCase					:						Tuple					=					False
       __lowerCAmelCase					:						List[str]					=					False

       if self.does_advance(__snake_case					):
             self.fulfilled_idx += 1
             __lowerCAmelCase					:						Tuple					=					True
             if self.fulfilled_idx == (self.seqlen - 1):
                   __lowerCAmelCase					:						Optional[int]					=					True
             __lowerCAmelCase					:						Optional[int]					=					completed
       else:
             # failed to make progress.
             __lowerCAmelCase					:						Dict					=					True
             self.reset()
       return stepped, completed, reset
 def 	UpperCamelCase__  (							self					)					->Dict:



       '''simple docstring'''





       __lowerCAmelCase					:						Optional[int]					=					False
       __lowerCAmelCase					:						Union[str, Any]					=					0
 def 	UpperCamelCase__  (							self					)					->Optional[int]:



       '''simple docstring'''





       return self.seqlen - (self.fulfilled_idx + 1)





 def 	UpperCamelCase__  (							self      ,							A_=False					)					->Any:



       '''simple docstring'''





       __lowerCAmelCase					:						Union[str, Any]					=					PhrasalConstraint(self.token_ids					)

       if stateful:
             __lowerCAmelCase					:						Any					=					self.seqlen
             __lowerCAmelCase					:						Optional[Any]					=					self.fulfilled_idx
             __lowerCAmelCase					:						str					=					self.completed

       return new_constraint







class   __lowercase      :
 def __init__(							self      ,							A_      ,							A_=True					)					->Tuple:



       '''simple docstring'''





       __lowerCAmelCase					:						Tuple					=					max([len(__snake_case					) for one in nested_token_ids]					)

       __lowerCAmelCase					:						str					=					{}
       for token_ids in nested_token_ids:
             __lowerCAmelCase					:						Dict					=					root
             for tidx, token_id in enumerate(__snake_case					):
                   if token_id not in level:
                         __lowerCAmelCase					:						Tuple					=					{}

                   __lowerCAmelCase					:						Dict					=					level[token_id]

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

       __lowerCAmelCase					:						str					=					root
 def 	UpperCamelCase__  (							self      ,							A_					)					->List[str]:



       '''simple docstring'''





       __lowerCAmelCase					:						Any					=					self.trie

       for current_token in current_seq:
             __lowerCAmelCase					:						Optional[Any]					=					start[current_token]

       __lowerCAmelCase					:						Union[str, Any]					=					list(start.keys()					)

       return next_tokens
 def 	UpperCamelCase__  (							self      ,							A_					)					->Tuple:



       '''simple docstring'''





       __lowerCAmelCase					:						Optional[int]					=					self.next_tokens(__snake_case					)

       return len(__snake_case					) == 0
 def 	UpperCamelCase__  (							self      ,							A_					)					->str:



       '''simple docstring'''





       __lowerCAmelCase					:						Tuple					=					list(root.values()					)
       if len(__snake_case					) == 0:
             return 1
       else:
             return sum([self.count_leaves(__snake_case					) for nn in next_nodes]					)





 def 	UpperCamelCase__  (							self      ,							A_      ,							A_					)					->str:



       '''simple docstring'''





       __lowerCAmelCase					:						List[str]					=					self.count_leaves(__snake_case					)
       return len(__snake_case					) != leaf_count







class   __lowercase      (_snake_case ):
 def __init__(							self      ,							A_					)					->int:



       '''simple docstring'''





       super(__snake_case      ,							self					).__init__()

       if not isinstance(__snake_case      ,							__snake_case					) or len(__snake_case					) == 0:
             raise ValueError(f"""`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}."""					)
       if any(not isinstance(__snake_case      ,							__snake_case					) 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(__snake_case      ,							__snake_case					) 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					:						Any					=					DisjunctiveTrie(__snake_case					)
       __lowerCAmelCase					:						int					=					nested_token_ids

       __lowerCAmelCase					:						Tuple					=					self.trie.max_height
       __lowerCAmelCase					:						List[str]					=					[]
       __lowerCAmelCase					:						List[Any]					=					False
 def 	UpperCamelCase__  (							self					)					->int:



       '''simple docstring'''





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

       if len(__snake_case					) == 0:
             return None
       else:
             return token_list
 def 	UpperCamelCase__  (							self      ,							A_					)					->Dict:



       '''simple docstring'''





       if not isinstance(__snake_case      ,							__snake_case					):
             raise ValueError(f"""`token_id` is supposed to be type `int`, but is {token_id} of type {type(__snake_case					)}"""					)

       __lowerCAmelCase					:						Any					=					self.trie.next_tokens(self.current_seq					)

       return token_id in next_tokens
 def 	UpperCamelCase__  (							self      ,							A_					)					->int:



       '''simple docstring'''





       if not isinstance(__snake_case      ,							__snake_case					):
             raise ValueError(f"""`token_id` is supposed to be type `int`, but is {token_id} of type {type(__snake_case					)}"""					)

       __lowerCAmelCase					:						Optional[int]					=					False
       __lowerCAmelCase					:						int					=					False
       __lowerCAmelCase					:						Any					=					False

       if self.does_advance(__snake_case					):
             self.current_seq.append(__snake_case					)
             __lowerCAmelCase					:						Optional[Any]					=					True
       else:
             __lowerCAmelCase					:						List[str]					=					True
             self.reset()

       __lowerCAmelCase					:						List[Any]					=					self.trie.reached_leaf(self.current_seq					)
       __lowerCAmelCase					:						List[Any]					=					completed

       return stepped, completed, reset
 def 	UpperCamelCase__  (							self					)					->Union[str, Any]:



       '''simple docstring'''





       __lowerCAmelCase					:						Optional[Any]					=					False
       __lowerCAmelCase					:						Union[str, Any]					=					[]
 def 	UpperCamelCase__  (							self					)					->Tuple:



       '''simple docstring'''





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





 def 	UpperCamelCase__  (							self      ,							A_=False					)					->Union[str, Any]:



       '''simple docstring'''





       __lowerCAmelCase					:						int					=					DisjunctiveConstraint(self.token_ids					)

       if stateful:
             __lowerCAmelCase					:						str					=					self.seqlen
             __lowerCAmelCase					:						Dict					=					self.current_seq
             __lowerCAmelCase					:						Dict					=					self.completed

       return new_constraint







class   __lowercase      :
 def __init__(							self      ,							A_					)					->List[Any]:



       '''simple docstring'''





       __lowerCAmelCase					:						Optional[int]					=					constraints

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

       self.init_state()
 def 	UpperCamelCase__  (							self					)					->Dict:



       '''simple docstring'''





       __lowerCAmelCase					:						Any					=					[]
       __lowerCAmelCase					:						Tuple					=					None
       __lowerCAmelCase					:						Optional[int]					=					[constraint.copy(stateful=__snake_case					) for constraint in self.constraints]
 def 	UpperCamelCase__  (							self					)					->str:



       '''simple docstring'''





       __lowerCAmelCase					:						Optional[Any]					=					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 	UpperCamelCase__  (							self					)					->Optional[Any]:



       '''simple docstring'''





       __lowerCAmelCase					:						Dict					=					[]
       if self.inprogress_constraint is None:
             for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
                   __lowerCAmelCase					:						List[Any]					=					constraint.advance()
                   if isinstance(__snake_case      ,							__snake_case					):
                         token_list.append(__snake_case					)
                   elif isinstance(__snake_case      ,							__snake_case					):
                         token_list.extend(__snake_case					)
       else:
             __lowerCAmelCase					:						int					=					self.inprogress_constraint.advance()
             if isinstance(__snake_case      ,							__snake_case					):
                   token_list.append(__snake_case					)
             elif isinstance(__snake_case      ,							__snake_case					):
                   token_list.extend(__snake_case					)

       if len(__snake_case					) == 0:
             return None
       else:
             return token_list
 def 	UpperCamelCase__  (							self      ,							A_					)					->str:



       '''simple docstring'''





       self.init_state()

       if token_ids is not None:
             for token in token_ids:
                   # completes or steps **one** constraint
                   __lowerCAmelCase					:						Union[str, Any]					=					self.add(__snake_case					)

                   # the entire list of constraints are fulfilled
                   if self.completed:
                         break
 def 	UpperCamelCase__  (							self      ,							A_					)					->Dict:



       '''simple docstring'''





       if not isinstance(__snake_case      ,							__snake_case					):
             raise ValueError(f"""`token_id` should be an `int`, but is `{token_id}`."""					)

       __lowerCAmelCase					:						Any					=					False, False

       if self.completed:
             __lowerCAmelCase					:						Dict					=					True
             __lowerCAmelCase					:						Union[str, Any]					=					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					:						List[str]					=					self.inprogress_constraint.update(__snake_case					)
             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=__snake_case					)					)
                   __lowerCAmelCase					:						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					:						Dict					=					None

                   if len(self.pending_constraints					) == 0:
                         # we're done!
                         __lowerCAmelCase					:						Union[str, Any]					=					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(__snake_case					):
                         __lowerCAmelCase					:						Any					=					pending_constraint.update(__snake_case					)

                         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(__snake_case					)
                               __lowerCAmelCase					:						Union[str, Any]					=					None

                         if not complete and stepped:
                               __lowerCAmelCase					:						str					=					pending_constraint

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

                               __lowerCAmelCase					:						Tuple					=					(
                                   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					:						int					=					True

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

       return complete, stepped





 def 	UpperCamelCase__  (							self      ,							A_=True					)					->List[Any]:



       '''simple docstring'''





       __lowerCAmelCase					:						List[str]					=					ConstraintListState(self.constraints					)  # we actually never though self.constraints objects
       # throughout this process. So it's at initialization state.

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

       return new_state






'''simple docstring'''


import unittest

from knapsack import greedy_knapsack as kp





class     lowercase__  (						unittest.TestCase					):





							'''simple docstring'''


							def UpperCAmelCase_	(    self  ):
											_SCREAMING_SNAKE_CASE :       str     		=      [10, 20, 30, 40, 50, 60]
											_SCREAMING_SNAKE_CASE :       List[str]     		=      [2, 4, 6, 8, 10, 12]
											_SCREAMING_SNAKE_CASE :       str     		=      100
											self.assertEqual(kp.calc_profit(__snake_case    ,					__snake_case    ,					__snake_case  )    ,					210  )






							def UpperCAmelCase_	(    self  ):
											self.assertRaisesRegex(__snake_case    ,					"""max_weight must greater than zero."""  )






							def UpperCAmelCase_	(    self  ):
											self.assertRaisesRegex(__snake_case    ,					"""Weight can not be negative."""  )






							def UpperCAmelCase_	(    self  ):
											self.assertRaisesRegex(__snake_case    ,					"""Profit can not be negative."""  )






							def UpperCAmelCase_	(    self  ):
											self.assertRaisesRegex(__snake_case    ,					"""max_weight must greater than zero."""  )






							def UpperCAmelCase_	(    self  ):
											self.assertRaisesRegex(
											    __snake_case    ,					"""The length of profit and weight must be same."""  )


if __name__ == "__main__":
				unittest.main()




