
"""simple docstring"""




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





class  snake_case     (							__lowercase   ):

							def __init__(self    ):

									"""simple docstring"""







									self.test()

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = 0
									SCREAMING_SNAKE_CASE_						 = False
									while not completed:
											if counter == 1:
													self.reset()
											SCREAMING_SNAKE_CASE_						 = self.advance()
											if not self.does_advance(SCREAMING_SNAKE_CASE_    ):
													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_						 = self.update(SCREAMING_SNAKE_CASE_    )
											counter += 1

											if counter > 1_00_00:
													raise Exception('''update() does not fulfill the constraint.'''    )

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

							@abstractmethod
							def _lowercase					(self    ):

									"""simple docstring"""







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

							@abstractmethod
							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







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

							@abstractmethod
							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







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

							@abstractmethod
							def _lowercase					(self    ):

									"""simple docstring"""







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

							@abstractmethod
							def _lowercase					(self    ):

									"""simple docstring"""







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







							@abstractmethod
							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_=False    ):

									"""simple docstring"""







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







class  snake_case     (							__lowercase   ):

							def __init__(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									super(SCREAMING_SNAKE_CASE_       ,       self    ).__init__()

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

									SCREAMING_SNAKE_CASE_						 = token_ids

									SCREAMING_SNAKE_CASE_						 = len(self.token_ids    )
									SCREAMING_SNAKE_CASE_						 = -1  # the index of the currently fulfilled step
									SCREAMING_SNAKE_CASE_						 = False

							def _lowercase					(self    ):

									"""simple docstring"""







									if self.completed:
											return None
									return self.token_ids[self.fulfilled_idx + 1]

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







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

									if self.completed:
											return False

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

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







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

									SCREAMING_SNAKE_CASE_						 = False
									SCREAMING_SNAKE_CASE_						 = False
									SCREAMING_SNAKE_CASE_						 = False

									if self.does_advance(SCREAMING_SNAKE_CASE_    ):
											self.fulfilled_idx += 1
											SCREAMING_SNAKE_CASE_						 = True
											if self.fulfilled_idx == (self.seqlen - 1):
													SCREAMING_SNAKE_CASE_						 = True
											SCREAMING_SNAKE_CASE_						 = completed
									else:
											# failed to make progress.
											SCREAMING_SNAKE_CASE_						 = True
											self.reset()
									return stepped, completed, reset

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = False
									SCREAMING_SNAKE_CASE_						 = 0

							def _lowercase					(self    ):

									"""simple docstring"""







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







							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_=False    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = PhrasalConstraint(self.token_ids    )

									if stateful:
											SCREAMING_SNAKE_CASE_						 = self.seqlen
											SCREAMING_SNAKE_CASE_						 = self.fulfilled_idx
											SCREAMING_SNAKE_CASE_						 = self.completed

									return new_constraint







class  snake_case     :

							def __init__(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_=True    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = max([len(SCREAMING_SNAKE_CASE_    ) for one in nested_token_ids]    )

									SCREAMING_SNAKE_CASE_						 = {}
									for token_ids in nested_token_ids:
											SCREAMING_SNAKE_CASE_						 = root
											for tidx, token_id in enumerate(SCREAMING_SNAKE_CASE_    ):
													if token_id not in level:
															SCREAMING_SNAKE_CASE_						 = {}

													SCREAMING_SNAKE_CASE_						 = level[token_id]

									if no_subsets and self.has_subsets(SCREAMING_SNAKE_CASE_       ,       SCREAMING_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}.'    )

									SCREAMING_SNAKE_CASE_						 = root

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = self.trie

									for current_token in current_seq:
											SCREAMING_SNAKE_CASE_						 = start[current_token]

									SCREAMING_SNAKE_CASE_						 = list(start.keys()    )

									return next_tokens

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = self.next_tokens(SCREAMING_SNAKE_CASE_    )

									return len(SCREAMING_SNAKE_CASE_    ) == 0

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







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







							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = self.count_leaves(SCREAMING_SNAKE_CASE_    )
									return len(SCREAMING_SNAKE_CASE_    ) != leaf_count







class  snake_case     (							__lowercase   ):

							def __init__(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									super(SCREAMING_SNAKE_CASE_       ,       self    ).__init__()

									if not isinstance(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ) or len(SCREAMING_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(SCREAMING_SNAKE_CASE_       ,       SCREAMING_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(SCREAMING_SNAKE_CASE_       ,       SCREAMING_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}.'    )

									SCREAMING_SNAKE_CASE_						 = DisjunctiveTrie(SCREAMING_SNAKE_CASE_    )
									SCREAMING_SNAKE_CASE_						 = nested_token_ids

									SCREAMING_SNAKE_CASE_						 = self.trie.max_height
									SCREAMING_SNAKE_CASE_						 = []
									SCREAMING_SNAKE_CASE_						 = False

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = self.trie.next_tokens(self.current_seq    )

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

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







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

									SCREAMING_SNAKE_CASE_						 = self.trie.next_tokens(self.current_seq    )

									return token_id in next_tokens

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







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

									SCREAMING_SNAKE_CASE_						 = False
									SCREAMING_SNAKE_CASE_						 = False
									SCREAMING_SNAKE_CASE_						 = False

									if self.does_advance(SCREAMING_SNAKE_CASE_    ):
											self.current_seq.append(SCREAMING_SNAKE_CASE_    )
											SCREAMING_SNAKE_CASE_						 = True
									else:
											SCREAMING_SNAKE_CASE_						 = True
											self.reset()

									SCREAMING_SNAKE_CASE_						 = self.trie.reached_leaf(self.current_seq    )
									SCREAMING_SNAKE_CASE_						 = completed

									return stepped, completed, reset

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = False
									SCREAMING_SNAKE_CASE_						 = []

							def _lowercase					(self    ):

									"""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 _lowercase					(self       ,       SCREAMING_SNAKE_CASE_=False    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = DisjunctiveConstraint(self.token_ids    )

									if stateful:
											SCREAMING_SNAKE_CASE_						 = self.seqlen
											SCREAMING_SNAKE_CASE_						 = self.current_seq
											SCREAMING_SNAKE_CASE_						 = self.completed

									return new_constraint







class  snake_case     :

							def __init__(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = constraints

									# max # of steps required to fulfill a given constraint
									SCREAMING_SNAKE_CASE_						 = max([c.seqlen for c in constraints]    )
									SCREAMING_SNAKE_CASE_						 = len(SCREAMING_SNAKE_CASE_    )
									SCREAMING_SNAKE_CASE_						 = False

									self.init_state()

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = []
									SCREAMING_SNAKE_CASE_						 = None
									SCREAMING_SNAKE_CASE_						 = [constraint.copy(stateful=SCREAMING_SNAKE_CASE_    ) for constraint in self.constraints]

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = 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 _lowercase					(self    ):

									"""simple docstring"""







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

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

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									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_						 = self.add(SCREAMING_SNAKE_CASE_    )

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

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







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

									SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_						 = False, False

									if self.completed:
											SCREAMING_SNAKE_CASE_						 = True
											SCREAMING_SNAKE_CASE_						 = 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_						 = self.inprogress_constraint.update(SCREAMING_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=SCREAMING_SNAKE_CASE_    )    )
													SCREAMING_SNAKE_CASE_						 = 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_						 = None

													if len(self.pending_constraints    ) == 0:
															# we're done!
															SCREAMING_SNAKE_CASE_						 = 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(SCREAMING_SNAKE_CASE_    ):
															SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_						 = pending_constraint.update(SCREAMING_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(SCREAMING_SNAKE_CASE_    )
																	SCREAMING_SNAKE_CASE_						 = None

															if not complete and stepped:
																	SCREAMING_SNAKE_CASE_						 = 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_						 = (
																	    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_						 = True

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

									return complete, stepped







							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_=True    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = ConstraintListState(self.constraints    )  # we actually never though self.constraints objects
									# throughout this process. So it's at initialization state.

									if stateful:
											SCREAMING_SNAKE_CASE_						 = [
											    constraint.copy(stateful=SCREAMING_SNAKE_CASE_    ) for constraint in self.complete_constraints
											]
											if self.inprogress_constraint is not None:
													SCREAMING_SNAKE_CASE_						 = self.inprogress_constraint.copy(stateful=SCREAMING_SNAKE_CASE_    )
											SCREAMING_SNAKE_CASE_						 = [constraint.copy() for constraint in self.pending_constraints]

									return new_state

"""simple docstring"""




import cva
import numpy as np





class  snake_case     :

							def __init__(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									if k in (0.04, 0.06):
											SCREAMING_SNAKE_CASE_						 = k
											SCREAMING_SNAKE_CASE_						 = window_size
									else:
											raise ValueError('''invalid k value'''    )

							def __str__(self    ):

									"""simple docstring"""







									return str(self.k    )







							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = cva.imread(SCREAMING_SNAKE_CASE_       ,       0    )
									SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_						 = img.shape
									SCREAMING_SNAKE_CASE_						 = []
									SCREAMING_SNAKE_CASE_						 = img.copy()
									SCREAMING_SNAKE_CASE_						 = cva.cvtColor(SCREAMING_SNAKE_CASE_       ,       cva.COLOR_GRAY2RGB    )
									SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_						 = np.gradient(SCREAMING_SNAKE_CASE_    )
									SCREAMING_SNAKE_CASE_						 = dx**2
									SCREAMING_SNAKE_CASE_						 = dy**2
									SCREAMING_SNAKE_CASE_						 = dx * dy
									SCREAMING_SNAKE_CASE_						 = 0.04
									SCREAMING_SNAKE_CASE_						 = self.window_size // 2
									for y in range(SCREAMING_SNAKE_CASE_       ,       h - offset    ):
											for x in range(SCREAMING_SNAKE_CASE_       ,       w - offset    ):
													SCREAMING_SNAKE_CASE_						 = ixx[
													    y - offset : y + offset + 1, x - offset : x + offset + 1
													].sum()
													SCREAMING_SNAKE_CASE_						 = iyy[
													    y - offset : y + offset + 1, x - offset : x + offset + 1
													].sum()
													SCREAMING_SNAKE_CASE_						 = ixy[
													    y - offset : y + offset + 1, x - offset : x + offset + 1
													].sum()

													SCREAMING_SNAKE_CASE_						 = (wxx * wyy) - (wxy**2)
													SCREAMING_SNAKE_CASE_						 = wxx + wyy
													SCREAMING_SNAKE_CASE_						 = det - k * (trace**2)
													# Can change the value
													if r > 0.5:
															corner_list.append([x, y, r]    )
															color_img.itemset((y, x, 0)       ,       0    )
															color_img.itemset((y, x, 1)       ,       0    )
															color_img.itemset((y, x, 2)       ,       2_55    )
									return color_img, corner_list


if __name__ == "__main__":
						lowerCAmelCase__							=				HarrisCorner(0.04, 3)
						lowerCAmelCase__,  lowerCAmelCase__							=				edge_detect.detect('path_to_image')
						cva.imwrite('detect.png', color_img)