


import glob
import os
import random
from string import ascii_lowercase, digits

import cva
import numpy as np

# Parrameters
lowerCAmelCase	=							(720, 1280)  # Height, Width
lowerCAmelCase	=							(0.4, 0.6)  # if height or width lower than this scale, drop it.
lowerCAmelCase	=							1 / 100
lowerCAmelCase	=							''
lowerCAmelCase	=							''
lowerCAmelCase	=							''
lowerCAmelCase	=							250
def       _a			(				):


		"""simple docstring"""




		lowercase__					,		lowercase__						=				get_dataset(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					)
		for index in range(SCREAMING_SNAKE_CASE					):
				lowercase__						=				random.sample(range(len(SCREAMING_SNAKE_CASE					)					)						,    4					)
				lowercase__					,		lowercase__					,		lowercase__						=				update_image_and_anno(
				    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    filter_scale=SCREAMING_SNAKE_CASE						,    )

				# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
				lowercase__						=				random_chars(32					)
				lowercase__						=				path.split(os.sep					)[-1].rsplit('''.'''						,    1					)[0]
				lowercase__						=				f'{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}'
				cva.imwrite(f'{file_root}.jpg'						,    SCREAMING_SNAKE_CASE						,    [cva.IMWRITE_JPEG_QUALITY, 85]					)
				print(f'Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}'					)
				lowercase__						=				[]
				for anno in new_annos:
						lowercase__						=				anno[3] - anno[1]
						lowercase__						=				anno[4] - anno[2]
						lowercase__						=				anno[1] + width / 2
						lowercase__						=				anno[2] + height / 2
						lowercase__						=				f'{anno[0]} {x_center} {y_center} {width} {height}'
						annos_list.append(SCREAMING_SNAKE_CASE					)
				with open(f'{file_root}.txt'						,    '''w'''					) as outfile:
						outfile.write('''\n'''.join(line for line in annos_list					)					)
def       _a			(				SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		lowercase__						=				[]
		lowercase__						=				[]
		for label_file in glob.glob(os.path.join(SCREAMING_SNAKE_CASE						,    '''*.txt'''					)					):
				lowercase__						=				label_file.split(os.sep					)[-1].rsplit('''.'''						,    1					)[0]
				with open(SCREAMING_SNAKE_CASE					) as in_file:
						lowercase__						=				in_file.readlines()
				lowercase__						=				os.path.join(SCREAMING_SNAKE_CASE						,    f'{label_name}.jpg'					)

				lowercase__						=				[]
				for obj_list in obj_lists:
						lowercase__						=				obj_list.rstrip('''\n'''					).split(''' '''					)
						lowercase__						=				float(obj[1]					) - float(obj[3]					) / 2
						lowercase__						=				float(obj[2]					) - float(obj[4]					) / 2
						lowercase__						=				float(obj[1]					) + float(obj[3]					) / 2
						lowercase__						=				float(obj[2]					) + float(obj[4]					) / 2

						boxes.append([int(obj[0]					), xmin, ymin, xmax, ymax]					)
				if not boxes:
						continue
				img_paths.append(SCREAMING_SNAKE_CASE					)
				labels.append(SCREAMING_SNAKE_CASE					)
		return img_paths, labels
def       _a			(				SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE = 0.0						,    ):


		"""simple docstring"""




		lowercase__						=				np.zeros([output_size[0], output_size[1], 3]						,    dtype=np.uinta					)
		lowercase__						=				scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
		lowercase__						=				scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
		lowercase__						=				int(scale_x * output_size[1]					)
		lowercase__						=				int(scale_y * output_size[0]					)

		lowercase__						=				[]
		lowercase__						=				[]
		for i, index in enumerate(SCREAMING_SNAKE_CASE					):
				lowercase__						=				all_img_list[index]
				path_list.append(SCREAMING_SNAKE_CASE					)
				lowercase__						=				all_annos[index]
				lowercase__						=				cva.imread(SCREAMING_SNAKE_CASE					)
				if i == 0:  # top-left
						lowercase__						=				cva.resize(SCREAMING_SNAKE_CASE						,    (divid_point_x, divid_point_y)					)
						lowercase__						=				img
						for bbox in img_annos:
								lowercase__						=				bbox[1] * scale_x
								lowercase__						=				bbox[2] * scale_y
								lowercase__						=				bbox[3] * scale_x
								lowercase__						=				bbox[4] * scale_y
								new_anno.append([bbox[0], xmin, ymin, xmax, ymax]					)
				elif i == 1:  # top-right
						lowercase__						=				cva.resize(SCREAMING_SNAKE_CASE						,    (output_size[1] - divid_point_x, divid_point_y)					)
						lowercase__						=				img
						for bbox in img_annos:
								lowercase__						=				scale_x + bbox[1] * (1 - scale_x)
								lowercase__						=				bbox[2] * scale_y
								lowercase__						=				scale_x + bbox[3] * (1 - scale_x)
								lowercase__						=				bbox[4] * scale_y
								new_anno.append([bbox[0], xmin, ymin, xmax, ymax]					)
				elif i == 2:  # bottom-left
						lowercase__						=				cva.resize(SCREAMING_SNAKE_CASE						,    (divid_point_x, output_size[0] - divid_point_y)					)
						lowercase__						=				img
						for bbox in img_annos:
								lowercase__						=				bbox[1] * scale_x
								lowercase__						=				scale_y + bbox[2] * (1 - scale_y)
								lowercase__						=				bbox[3] * scale_x
								lowercase__						=				scale_y + bbox[4] * (1 - scale_y)
								new_anno.append([bbox[0], xmin, ymin, xmax, ymax]					)
				else:  # bottom-right
						lowercase__						=				cva.resize(
						    SCREAMING_SNAKE_CASE						,    (output_size[1] - divid_point_x, output_size[0] - divid_point_y)					)
						lowercase__						=				img
						for bbox in img_annos:
								lowercase__						=				scale_x + bbox[1] * (1 - scale_x)
								lowercase__						=				scale_y + bbox[2] * (1 - scale_y)
								lowercase__						=				scale_x + bbox[3] * (1 - scale_x)
								lowercase__						=				scale_y + bbox[4] * (1 - scale_y)
								new_anno.append([bbox[0], xmin, ymin, xmax, ymax]					)

    # Remove bounding box small than scale of filter
		if filter_scale > 0:
				lowercase__						=				[
				    anno
				    for anno in new_anno
				    if filter_scale < (anno[3] - anno[1]) and filter_scale < (anno[4] - anno[2])
				]

		return output_img, new_anno, path_list[0]
def       _a			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		assert number_char > 1, "The number of character should greater than 1"
		lowercase__						=				ascii_lowercase + digits
		return "".join(random.choice(SCREAMING_SNAKE_CASE					) for _ in range(SCREAMING_SNAKE_CASE					)					)


if __name__ == "__main__":
			main()
			print('DONE ✅')






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


class 	_a							(      UpperCamelCase__      ):

							def __init__(							self:     Optional[int]							)      ->       Union[str, Any]:





									"""simple docstring"""







									self.test()

							def 				lowerCamelCase_			(							self:     List[Any]							)      ->       List[Any]:





									"""simple docstring"""







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

											lowercase__					,		lowercase__					,		lowercase__						=				self.update(UpperCamelCase_							)
											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 				lowerCamelCase_			(							self:     int							)      ->       Any:





									"""simple docstring"""







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

							@abstractmethod
							def 				lowerCamelCase_			(							self:     Tuple   ,						UpperCamelCase_:     int							)      ->       Optional[int]:





									"""simple docstring"""







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

							@abstractmethod
							def 				lowerCamelCase_			(							self:     Optional[int]   ,						UpperCamelCase_:     int							)      ->       str:





									"""simple docstring"""







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

							@abstractmethod
							def 				lowerCamelCase_			(							self:     Tuple							)      ->       List[Any]:





									"""simple docstring"""







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

							@abstractmethod
							def 				lowerCamelCase_			(							self:     Any							)      ->       Tuple:





									"""simple docstring"""







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


							@abstractmethod
							def 				lowerCamelCase_			(							self:     Tuple   ,						UpperCamelCase_:     int=False							)      ->       Any:





									"""simple docstring"""







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


class 	_a							(      UpperCamelCase__      ):

							def __init__(							self:     str   ,						UpperCamelCase_:     List[int]							)      ->       Tuple:





									"""simple docstring"""







									super(UpperCamelCase_   ,						self							).__init__()

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

									lowercase__						=				token_ids

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

							def 				lowerCamelCase_			(							self:     Tuple							)      ->       Tuple:





									"""simple docstring"""







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

							def 				lowerCamelCase_			(							self:     Union[str, Any]   ,						UpperCamelCase_:     int							)      ->       Optional[Any]:





									"""simple docstring"""







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

									if self.completed:
											return False

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

							def 				lowerCamelCase_			(							self:     Optional[int]   ,						UpperCamelCase_:     int							)      ->       Dict:





									"""simple docstring"""







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

									lowercase__						=				False
									lowercase__						=				False
									lowercase__						=				False

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

							def 				lowerCamelCase_			(							self:     Tuple							)      ->       int:





									"""simple docstring"""







									lowercase__						=				False
									lowercase__						=				0

							def 				lowerCamelCase_			(							self:     Any							)      ->       Dict:





									"""simple docstring"""







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


							def 				lowerCamelCase_			(							self:     Any   ,						UpperCamelCase_:     Union[str, Any]=False							)      ->       Tuple:





									"""simple docstring"""







									lowercase__						=				PhrasalConstraint(self.token_ids							)

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

									return new_constraint


class 	_a							:

							def __init__(							self:     Union[str, Any]   ,						UpperCamelCase_:     List[List[int]]   ,						UpperCamelCase_:     int=True							)      ->       int:





									"""simple docstring"""







									lowercase__						=				max([len(UpperCamelCase_							) for one in nested_token_ids]							)

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

													lowercase__						=				level[token_id]

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

									lowercase__						=				root

							def 				lowerCamelCase_			(							self:     int   ,						UpperCamelCase_:     str							)      ->       Any:





									"""simple docstring"""







									lowercase__						=				self.trie

									for current_token in current_seq:
											lowercase__						=				start[current_token]

									lowercase__						=				list(start.keys()							)

									return next_tokens

							def 				lowerCamelCase_			(							self:     Any   ,						UpperCamelCase_:     Tuple							)      ->       Optional[Any]:





									"""simple docstring"""







									lowercase__						=				self.next_tokens(UpperCamelCase_							)

									return len(UpperCamelCase_							) == 0

							def 				lowerCamelCase_			(							self:     List[str]   ,						UpperCamelCase_:     Optional[Any]							)      ->       Any:





									"""simple docstring"""







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


							def 				lowerCamelCase_			(							self:     Any   ,						UpperCamelCase_:     Union[str, Any]   ,						UpperCamelCase_:     int							)      ->       Tuple:





									"""simple docstring"""







									lowercase__						=				self.count_leaves(UpperCamelCase_							)
									return len(UpperCamelCase_							) != leaf_count


class 	_a							(      UpperCamelCase__      ):

							def __init__(							self:     Optional[int]   ,						UpperCamelCase_:     List[List[int]]							)      ->       List[Any]:





									"""simple docstring"""







									super(UpperCamelCase_   ,						self							).__init__()

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

									lowercase__						=				DisjunctiveTrie(UpperCamelCase_							)
									lowercase__						=				nested_token_ids

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

							def 				lowerCamelCase_			(							self:     Union[str, Any]							)      ->       str:





									"""simple docstring"""







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

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

							def 				lowerCamelCase_			(							self:     str   ,						UpperCamelCase_:     int							)      ->       Tuple:





									"""simple docstring"""







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

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

									return token_id in next_tokens

							def 				lowerCamelCase_			(							self:     int   ,						UpperCamelCase_:     int							)      ->       Dict:





									"""simple docstring"""







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

									lowercase__						=				False
									lowercase__						=				False
									lowercase__						=				False

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

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

									return stepped, completed, reset

							def 				lowerCamelCase_			(							self:     List[str]							)      ->       List[Any]:





									"""simple docstring"""







									lowercase__						=				False
									lowercase__						=				[]

							def 				lowerCamelCase_			(							self:     List[str]							)      ->       Optional[Any]:





									"""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 				lowerCamelCase_			(							self:     Any   ,						UpperCamelCase_:     Optional[Any]=False							)      ->       str:





									"""simple docstring"""







									lowercase__						=				DisjunctiveConstraint(self.token_ids							)

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

									return new_constraint


class 	_a							:

							def __init__(							self:     int   ,						UpperCamelCase_:     List[Constraint]							)      ->       Dict:





									"""simple docstring"""







									lowercase__						=				constraints

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

									self.init_state()

							def 				lowerCamelCase_			(							self:     List[str]							)      ->       str:





									"""simple docstring"""







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

							def 				lowerCamelCase_			(							self:     str							)      ->       Any:





									"""simple docstring"""







									lowercase__						=				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 				lowerCamelCase_			(							self:     Union[str, Any]							)      ->       List[Any]:





									"""simple docstring"""







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

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

							def 				lowerCamelCase_			(							self:     Optional[Any]   ,						UpperCamelCase_:     Optional[List[int]]							)      ->       Optional[int]:





									"""simple docstring"""







									self.init_state()

									if token_ids is not None:
											for token in token_ids:
													# completes or steps **one** constraint
													lowercase__					,		lowercase__						=				self.add(UpperCamelCase_							)

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

							def 				lowerCamelCase_			(							self:     Optional[Any]   ,						UpperCamelCase_:     int							)      ->       int:





									"""simple docstring"""







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

									lowercase__					,		lowercase__						=				False, False

									if self.completed:
											lowercase__						=				True
											lowercase__						=				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

											lowercase__					,		lowercase__					,		lowercase__						=				self.inprogress_constraint.update(UpperCamelCase_							)
											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=UpperCamelCase_							)							)
													lowercase__						=				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							)
													lowercase__						=				None

													if len(self.pending_constraints							) == 0:
															# we're done!
															lowercase__						=				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(UpperCamelCase_							):
															lowercase__					,		lowercase__					,		lowercase__						=				pending_constraint.update(UpperCamelCase_							)

															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(UpperCamelCase_							)
																	lowercase__						=				None

															if not complete and stepped:
																	lowercase__						=				pending_constraint

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

																	lowercase__						=				(
																	    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.

																			lowercase__						=				True

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

									return complete, stepped


							def 				lowerCamelCase_			(							self:     Any   ,						UpperCamelCase_:     Optional[Any]=True							)      ->       Dict:





									"""simple docstring"""







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

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

									return new_state


