


from abc import ABC, abstractmethod
from typing import List, Optional
class        _lowercase      (			A__       ):






				'''simple docstring'''



				def __init__(       self			:Tuple	)		->			Union[str, Any]:
										# test for the above condition
										self.test()


				def 		__magic_name__(       self			:List[str]	)		->			int:
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		0
										__SCREAMING_SNAKE_CASE						:     Tuple					=		False
										while not completed:
																if counter == 1:
																						self.reset()
																__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		self.advance()
																if not self.does_advance(lowerCAmelCase__	):
																						raise Exception(
																						    '''Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.'''	)

																__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		self.update(lowerCAmelCase__	)
																counter += 1

																if counter > 10_000:
																						raise Exception('''update() does not fulfill the constraint.'''	)

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


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


				@abstractmethod
				def 		__magic_name__(       self			:str			,			lowerCAmelCase__			:int	)		->			Optional[int]:
										raise NotImplementedError(
										    f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''	)


				@abstractmethod
				def 		__magic_name__(       self			:Dict			,			lowerCAmelCase__			:int	)		->			int:
										raise NotImplementedError(
										    f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''	)


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


				@abstractmethod
				def 		__magic_name__(       self			:Tuple	)		->			Tuple:
										raise NotImplementedError(
										    f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''	)



				@abstractmethod
				def 		__magic_name__(       self			:Optional[Any]			,			lowerCAmelCase__			:Dict=False	)		->			Tuple:
										raise NotImplementedError(
										    f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''	)




class        _lowercase      (			A__       ):






				'''simple docstring'''



				def __init__(       self			:int			,			lowerCAmelCase__			:List[int]	)		->			Optional[Any]:
										super(lowerCAmelCase__			,			self	).__init__()

										if not isinstance(lowerCAmelCase__			,			lowerCAmelCase__	) or len(lowerCAmelCase__	) == 0:
																raise ValueError(f'''`token_ids` has to be a non-empty list, but is {token_ids}.'''	)
										if any((not isinstance(lowerCAmelCase__			,			lowerCAmelCase__	) 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}.'''	)

										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		token_ids

										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		len(self.token_ids	)
										__SCREAMING_SNAKE_CASE						:     Tuple					=		-1  # the index of the currently fulfilled step
										__SCREAMING_SNAKE_CASE						:     int					=		False


				def 		__magic_name__(       self			:List[str]	)		->			List[str]:
										if self.completed:
																return None
										return self.token_ids[self.fulfilled_idx + 1]


				def 		__magic_name__(       self			:Dict			,			lowerCAmelCase__			:int	)		->			List[str]:
										if not isinstance(lowerCAmelCase__			,			lowerCAmelCase__	):
																raise ValueError(f'''`token_id` has to be an `int`, but is {token_id} of type {type(lowerCAmelCase__	)}'''	)

										if self.completed:
																return False

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


				def 		__magic_name__(       self			:int			,			lowerCAmelCase__			:int	)		->			Tuple:
										if not isinstance(lowerCAmelCase__			,			lowerCAmelCase__	):
																raise ValueError(f'''`token_id` has to be an `int`, but is {token_id} of type {type(lowerCAmelCase__	)}'''	)

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

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


				def 		__magic_name__(       self			:Any	)		->			Optional[Any]:
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		False
										__SCREAMING_SNAKE_CASE						:     str					=		0


				def 		__magic_name__(       self			:Any	)		->			str:
										return self.seqlen - (self.fulfilled_idx + 1)



				def 		__magic_name__(       self			:str			,			lowerCAmelCase__			:Optional[Any]=False	)		->			List[str]:
										__SCREAMING_SNAKE_CASE						:     int					=		PhrasalConstraint(self.token_ids	)

										if stateful:
																__SCREAMING_SNAKE_CASE						:     Any					=		self.seqlen
																__SCREAMING_SNAKE_CASE						:     Dict					=		self.fulfilled_idx
																__SCREAMING_SNAKE_CASE						:     List[str]					=		self.completed

										return new_constraint




class        _lowercase      :






				'''simple docstring'''



				def __init__(       self			:Optional[int]			,			lowerCAmelCase__			:List[List[int]]			,			lowerCAmelCase__			:List[Any]=True	)		->			str:
										__SCREAMING_SNAKE_CASE						:     Any					=		max([len(lowerCAmelCase__	) for one in nested_token_ids]	)

										__SCREAMING_SNAKE_CASE						:     int					=		{}
										for token_ids in nested_token_ids:
																__SCREAMING_SNAKE_CASE						:     int					=		root
																for tidx, token_id in enumerate(lowerCAmelCase__	):
																						if token_id not in level:
																												__SCREAMING_SNAKE_CASE						:     Any					=		{}

																						__SCREAMING_SNAKE_CASE						:     Dict					=		level[token_id]

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

										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		root


				def 		__magic_name__(       self			:Union[str, Any]			,			lowerCAmelCase__			:Dict	)		->			Optional[Any]:
										__SCREAMING_SNAKE_CASE						:     int					=		self.trie

										for current_token in current_seq:
																__SCREAMING_SNAKE_CASE						:     List[Any]					=		start[current_token]

										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		list(start.keys()	)

										return next_tokens


				def 		__magic_name__(       self			:Tuple			,			lowerCAmelCase__			:Tuple	)		->			Tuple:
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		self.next_tokens(lowerCAmelCase__	)

										return len(lowerCAmelCase__	) == 0


				def 		__magic_name__(       self			:Optional[Any]			,			lowerCAmelCase__			:Union[str, Any]	)		->			List[Any]:
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		list(root.values()	)
										if len(lowerCAmelCase__	) == 0:
																return 1
										else:
																return sum([self.count_leaves(lowerCAmelCase__	) for nn in next_nodes]	)



				def 		__magic_name__(       self			:int			,			lowerCAmelCase__			:List[Any]			,			lowerCAmelCase__			:int	)		->			Optional[int]:
										__SCREAMING_SNAKE_CASE						:     Any					=		self.count_leaves(lowerCAmelCase__	)
										return len(lowerCAmelCase__	) != leaf_count




class        _lowercase      (			A__       ):






				'''simple docstring'''



				def __init__(       self			:Union[str, Any]			,			lowerCAmelCase__			:List[List[int]]	)		->			int:
										super(lowerCAmelCase__			,			self	).__init__()

										if not isinstance(lowerCAmelCase__			,			lowerCAmelCase__	) or len(lowerCAmelCase__	) == 0:
																raise ValueError(f'''`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.'''	)
										if any(not isinstance(lowerCAmelCase__			,			lowerCAmelCase__	) 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(lowerCAmelCase__			,			lowerCAmelCase__	) 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}.'''	)

										__SCREAMING_SNAKE_CASE						:     str					=		DisjunctiveTrie(lowerCAmelCase__	)
										__SCREAMING_SNAKE_CASE						:     str					=		nested_token_ids

										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		self.trie.max_height
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		[]
										__SCREAMING_SNAKE_CASE						:     Tuple					=		False


				def 		__magic_name__(       self			:List[Any]	)		->			Union[str, Any]:
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		self.trie.next_tokens(self.current_seq	)

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


				def 		__magic_name__(       self			:Dict			,			lowerCAmelCase__			:int	)		->			Union[str, Any]:
										if not isinstance(lowerCAmelCase__			,			lowerCAmelCase__	):
																raise ValueError(f'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(lowerCAmelCase__	)}'''	)

										__SCREAMING_SNAKE_CASE						:     Tuple					=		self.trie.next_tokens(self.current_seq	)

										return token_id in next_tokens


				def 		__magic_name__(       self			:Any			,			lowerCAmelCase__			:int	)		->			Union[str, Any]:
										if not isinstance(lowerCAmelCase__			,			lowerCAmelCase__	):
																raise ValueError(f'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(lowerCAmelCase__	)}'''	)

										__SCREAMING_SNAKE_CASE						:     Dict					=		False
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		False
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		False

										if self.does_advance(lowerCAmelCase__	):
																self.current_seq.append(lowerCAmelCase__	)
																__SCREAMING_SNAKE_CASE						:     int					=		True
										else:
																__SCREAMING_SNAKE_CASE						:     List[str]					=		True
																self.reset()

										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		self.trie.reached_leaf(self.current_seq	)
										__SCREAMING_SNAKE_CASE						:     Any					=		completed

										return stepped, completed, reset


				def 		__magic_name__(       self			:Optional[Any]	)		->			Any:
										__SCREAMING_SNAKE_CASE						:     List[str]					=		False
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		[]


				def 		__magic_name__(       self			:Optional[Any]	)		->			Tuple:
										if self.completed:
																# since this can be completed without reaching max height
																return 0
										else:
																return self.seqlen - len(self.current_seq	)



				def 		__magic_name__(       self			:Any			,			lowerCAmelCase__			:Tuple=False	)		->			Union[str, Any]:
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		DisjunctiveConstraint(self.token_ids	)

										if stateful:
																__SCREAMING_SNAKE_CASE						:     int					=		self.seqlen
																__SCREAMING_SNAKE_CASE						:     List[Any]					=		self.current_seq
																__SCREAMING_SNAKE_CASE						:     Optional[int]					=		self.completed

										return new_constraint




class        _lowercase      :






				'''simple docstring'''



				def __init__(       self			:Optional[Any]			,			lowerCAmelCase__			:List[Constraint]	)		->			int:
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		constraints

										# max # of steps required to fulfill a given constraint
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		max([c.seqlen for c in constraints]	)
										__SCREAMING_SNAKE_CASE						:     Tuple					=		len(lowerCAmelCase__	)
										__SCREAMING_SNAKE_CASE						:     int					=		False

										self.init_state()


				def 		__magic_name__(       self			:int	)		->			List[str]:
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		[]
										__SCREAMING_SNAKE_CASE						:     List[str]					=		None
										__SCREAMING_SNAKE_CASE						:     List[str]					=		[constraint.copy(stateful=lowerCAmelCase__	) for constraint in self.constraints]


				def 		__magic_name__(       self			:List[Any]	)		->			Optional[int]:
										__SCREAMING_SNAKE_CASE						:     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 		__magic_name__(       self			:Optional[Any]	)		->			str:
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		[]
										if self.inprogress_constraint is None:
																for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
																						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		constraint.advance()
																						if isinstance(lowerCAmelCase__			,			lowerCAmelCase__	):
																												token_list.append(lowerCAmelCase__	)
																						elif isinstance(lowerCAmelCase__			,			lowerCAmelCase__	):
																												token_list.extend(lowerCAmelCase__	)
										else:
																__SCREAMING_SNAKE_CASE						:     Tuple					=		self.inprogress_constraint.advance()
																if isinstance(lowerCAmelCase__			,			lowerCAmelCase__	):
																						token_list.append(lowerCAmelCase__	)
																elif isinstance(lowerCAmelCase__			,			lowerCAmelCase__	):
																						token_list.extend(lowerCAmelCase__	)

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


				def 		__magic_name__(       self			:Optional[int]			,			lowerCAmelCase__			:Optional[List[int]]	)		->			int:
										self.init_state()

										if token_ids is not None:
																for token in token_ids:
																						# completes or steps **one** constraint
																						__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE						:     Optional[int]					=		self.add(lowerCAmelCase__	)

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


				def 		__magic_name__(       self			:str			,			lowerCAmelCase__			:int	)		->			Any:
										if not isinstance(lowerCAmelCase__			,			lowerCAmelCase__	):
																raise ValueError(f'''`token_id` should be an `int`, but is `{token_id}`.'''	)

										__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE						:     Optional[int]					=		False, False

										if self.completed:
																__SCREAMING_SNAKE_CASE						:     Dict					=		True
																__SCREAMING_SNAKE_CASE						:     Dict					=		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

																__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE						:     List[str]					=		self.inprogress_constraint.update(lowerCAmelCase__	)
																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=lowerCAmelCase__	)	)
																						__SCREAMING_SNAKE_CASE						:     int					=		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	)
																						__SCREAMING_SNAKE_CASE						:     int					=		None

																						if len(self.pending_constraints	) == 0:
																												# we're done!
																												__SCREAMING_SNAKE_CASE						:     List[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(lowerCAmelCase__	):
																												__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE						:     Optional[int]					=		pending_constraint.update(lowerCAmelCase__	)

																												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(lowerCAmelCase__	)
																																		__SCREAMING_SNAKE_CASE						:     int					=		None

																												if not complete and stepped:
																																		__SCREAMING_SNAKE_CASE						:     Dict					=		pending_constraint

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

																																		__SCREAMING_SNAKE_CASE						:     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.

																																								__SCREAMING_SNAKE_CASE						:     Dict					=		True

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

										return complete, stepped



				def 		__magic_name__(       self			:int			,			lowerCAmelCase__			:List[Any]=True	)		->			List[str]:
										__SCREAMING_SNAKE_CASE						:     Tuple					=		ConstraintListState(self.constraints	)  # we actually never though self.constraints objects
										# throughout this process. So it's at initialization state.

										if stateful:
																__SCREAMING_SNAKE_CASE						:     Dict					=		[
																    constraint.copy(stateful=lowerCAmelCase__	) for constraint in self.complete_constraints
																]
																if self.inprogress_constraint is not None:
																						__SCREAMING_SNAKE_CASE						:     List[str]					=		self.inprogress_constraint.copy(stateful=lowerCAmelCase__	)
																__SCREAMING_SNAKE_CASE						:     List[str]					=		[constraint.copy() for constraint in self.pending_constraints]

										return new_state




from collections import Counter

import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split

__lowerCAmelCase	: List[Any]  				=datasets.load_iris()

__lowerCAmelCase	: Tuple  				=np.array(data['data'])
__lowerCAmelCase	: Dict  				=np.array(data['target'])
__lowerCAmelCase	: List[str]  				=data['target_names']

__lowerCAmelCase				,__lowerCAmelCase				,__lowerCAmelCase				,__lowerCAmelCase	: str  				=train_test_split(X, y)


def        _UpperCamelCase							(      lowercase__    ,       lowercase__      ):
						return np.linalg.norm(np.array(lowercase__      ) - np.array(lowercase__      )      )


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__=5      ):
						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		zip(lowercase__    ,       lowercase__      )
						# List of distances of all points from the point to be classified
						__SCREAMING_SNAKE_CASE						:     Dict					=		[]
						for data_point in data:
												__SCREAMING_SNAKE_CASE						:     Tuple					=		euclidean_distance(data_point[0]    ,       lowercase__      )
												distances.append((distance, data_point[1])      )
						# Choosing 'k' points with the least distances.
						__SCREAMING_SNAKE_CASE						:     int					=		[i[1] for i in sorted(lowercase__      )[:k]]
						# Most commonly occurring class among them
						# is the class into which the point is classified
						__SCREAMING_SNAKE_CASE						:     Any					=		Counter(lowercase__      ).most_common(1      )[0][0]
						return classes[result]


if __name__ == "__main__":
						print(classifier(X_train, y_train, classes, [4.4, 3.1, 1.3, 1.4]))
