
from collections import deque
from math import floor
from random import random
from time import time





class 				UpperCAmelCase :




	'''simple docstring'''





	def __init__(			self   :					Tuple					):
					__A       =					{}






	def 							UpperCamelCase_    (			self   :					List[Any]				,A   :					int				,A   :					str				,A   :					Optional[int]=1					):
					if self.graph.get(A					):
									if self.graph[u].count([w, v]					) == 0:
													self.graph[u].append([w, v]					)
					else:
									__A       =					[[w, v]]
					if not self.graph.get(A					):
									__A       =					[]






	def 							UpperCamelCase_    (			self   :					Any					):
					return list(self.graph					)






	def 							UpperCamelCase_    (			self   :					Optional[Any]				,A   :					Union[str, Any]				,A   :					Dict					):
					if self.graph.get(A					):
									for _ in self.graph[u]:
													if _[1] == v:
																	self.graph[u].remove(A					)






	def 							UpperCamelCase_    (			self   :					List[Any]				,A   :					str=-2				,A   :					List[str]=-1					):
					if s == d:
									return []
					__A       =					[]
					__A       =					[]
					if s == -2:
									__A       =					list(self.graph					)[0]
					stack.append(A					)
					visited.append(A					)
					__A       =					s

					while True:
									# check if there is any non isolated nodes
									if len(self.graph[s]					) != 0:
													__A       =					s
													for node in self.graph[s]:
																	if visited.count(node[1]					) < 1:
																					if node[1] == d:
																									visited.append(A					)
																									return visited
																					else:
																									stack.append(node[1]					)
																									visited.append(node[1]					)
																									__A       =					node[1]
																									break

            # check if all the children are visited
									if s == ss:
													stack.pop()
													if len(A					) != 0:
																	__A       =					stack[len(A					) - 1]
									else:
													__A       =					ss

									# check if se have reached the starting point
									if len(A					) == 0:
													return visited






	def 							UpperCamelCase_    (			self   :					str				,A   :					Union[str, Any]=-1					):
					if c == -1:
									__A       =					floor(random() * 1_00_00					) + 10
					for i in range(A					):
									# every vertex has max 100 edges
									for _ in range(floor(random() * 1_02					) + 1					):
													__A       =					floor(random() * c					) + 1
													if n != i:
																	self.add_pair(A				,A				,1					)






	def 							UpperCamelCase_    (			self   :					int				,A   :					str=-2					):
					__A       =					deque()
					__A       =					[]
					if s == -2:
									__A       =					list(self.graph					)[0]
					d.append(A					)
					visited.append(A					)
					while d:
									__A       =					d.popleft()
									if len(self.graph[s]					) != 0:
													for node in self.graph[s]:
																	if visited.count(node[1]					) < 1:
																					d.append(node[1]					)
																					visited.append(node[1]					)
					return visited






	def 							UpperCamelCase_    (			self   :					Tuple				,A   :					int					):
					__A       =					0
					for x in self.graph:
									for y in self.graph[x]:
													if y[1] == u:
																	count += 1
					return count






	def 							UpperCamelCase_    (			self   :					Any				,A   :					List[str]					):
					return len(self.graph[u]					)






	def 							UpperCamelCase_    (			self   :					Optional[int]				,A   :					Any=-2					):
					__A       =					[]
					__A       =					[]
					if s == -2:
									__A       =					list(self.graph					)[0]
					stack.append(A					)
					visited.append(A					)
					__A       =					s
					__A       =					[]

					while True:
									# check if there is any non isolated nodes
									if len(self.graph[s]					) != 0:
													__A       =					s
													for node in self.graph[s]:
																	if visited.count(node[1]					) < 1:
																					stack.append(node[1]					)
																					visited.append(node[1]					)
																					__A       =					node[1]
																					break

            # check if all the children are visited
									if s == ss:
													sorted_nodes.append(stack.pop()					)
													if len(A					) != 0:
																	__A       =					stack[len(A					) - 1]
									else:
													__A       =					ss

									# check if se have reached the starting point
									if len(A					) == 0:
													return sorted_nodes






	def 							UpperCamelCase_    (			self   :					List[Any]					):
					__A       =					[]
					__A       =					[]
					__A       =					list(self.graph					)[0]
					stack.append(A					)
					visited.append(A					)
					__A       =					-2
					__A       =					[]
					__A       =					s
					__A       =					False
					__A       =					set()

					while True:
									# check if there is any non isolated nodes
									if len(self.graph[s]					) != 0:
													__A       =					s
													for node in self.graph[s]:
																	if (
																	    visited.count(node[1]					) > 0
																	    and node[1] != parent
																	    and indirect_parents.count(node[1]					) > 0
																	    and not on_the_way_back
																	):
																					__A       =					len(A					) - 1
																					while len_stack >= 0:
																									if stack[len_stack] == node[1]:
																													anticipating_nodes.add(node[1]					)
																													break
																									else:
																													anticipating_nodes.add(stack[len_stack]					)
																													len_stack -= 1
																	if visited.count(node[1]					) < 1:
																					stack.append(node[1]					)
																					visited.append(node[1]					)
																					__A       =					node[1]
																					break

            # check if all the children are visited
									if s == ss:
													stack.pop()
													__A       =					True
													if len(A					) != 0:
																	__A       =					stack[len(A					) - 1]
									else:
													__A       =					False
													indirect_parents.append(A					)
													__A       =					s
													__A       =					ss

									# check if se have reached the starting point
									if len(A					) == 0:
													return list(A					)






	def 							UpperCamelCase_    (			self   :					str					):
					__A       =					[]
					__A       =					[]
					__A       =					list(self.graph					)[0]
					stack.append(A					)
					visited.append(A					)
					__A       =					-2
					__A       =					[]
					__A       =					s
					__A       =					False
					__A       =					set()

					while True:
									# check if there is any non isolated nodes
									if len(self.graph[s]					) != 0:
													__A       =					s
													for node in self.graph[s]:
																	if (
																	    visited.count(node[1]					) > 0
																	    and node[1] != parent
																	    and indirect_parents.count(node[1]					) > 0
																	    and not on_the_way_back
																	):
																					__A       =					len(A					) - 1
																					while len_stack_minus_one >= 0:
																									if stack[len_stack_minus_one] == node[1]:
																													anticipating_nodes.add(node[1]					)
																													break
																									else:
																													return True
																	if visited.count(node[1]					) < 1:
																					stack.append(node[1]					)
																					visited.append(node[1]					)
																					__A       =					node[1]
																					break

            # check if all the children are visited
									if s == ss:
													stack.pop()
													__A       =					True
													if len(A					) != 0:
																	__A       =					stack[len(A					) - 1]
									else:
													__A       =					False
													indirect_parents.append(A					)
													__A       =					s
													__A       =					ss

									# check if se have reached the starting point
									if len(A					) == 0:
													return False






	def 							UpperCamelCase_    (			self   :					Tuple				,A   :					Dict=-2				,A   :					Any=-1					):
					__A       =					time()
					self.dfs(A				,A					)
					__A       =					time()
					return end - begin







	def 							UpperCamelCase_    (			self   :					Optional[Any]				,A   :					List[Any]=-2					):
					__A       =					time()
					self.bfs(A					)
					__A       =					time()
					return end - begin





class 				UpperCAmelCase :




	'''simple docstring'''





	def __init__(			self   :					Optional[int]					):
					__A       =					{}






	def 							UpperCamelCase_    (			self   :					Optional[Any]				,A   :					Tuple				,A   :					Union[str, Any]				,A   :					Union[str, Any]=1					):
					# check if the u exists
					if self.graph.get(A					):
									# if there already is a edge
									if self.graph[u].count([w, v]					) == 0:
													self.graph[u].append([w, v]					)
					else:
									# if u does not exist
									__A       =					[[w, v]]
					# add the other way
					if self.graph.get(A					):
									# if there already is a edge
									if self.graph[v].count([w, u]					) == 0:
													self.graph[v].append([w, u]					)
					else:
									# if u does not exist
									__A       =					[[w, u]]






	def 							UpperCamelCase_    (			self   :					Optional[int]				,A   :					Optional[Any]				,A   :					Optional[Any]					):
					if self.graph.get(A					):
									for _ in self.graph[u]:
													if _[1] == v:
																	self.graph[u].remove(A					)
        # the other way round
					if self.graph.get(A					):
									for _ in self.graph[v]:
													if _[1] == u:
																	self.graph[v].remove(A					)






	def 							UpperCamelCase_    (			self   :					Union[str, Any]				,A   :					List[Any]=-2				,A   :					int=-1					):
					if s == d:
									return []
					__A       =					[]
					__A       =					[]
					if s == -2:
									__A       =					list(self.graph					)[0]
					stack.append(A					)
					visited.append(A					)
					__A       =					s

					while True:
									# check if there is any non isolated nodes
									if len(self.graph[s]					) != 0:
													__A       =					s
													for node in self.graph[s]:
																	if visited.count(node[1]					) < 1:
																					if node[1] == d:
																									visited.append(A					)
																									return visited
																					else:
																									stack.append(node[1]					)
																									visited.append(node[1]					)
																									__A       =					node[1]
																									break

            # check if all the children are visited
									if s == ss:
													stack.pop()
													if len(A					) != 0:
																	__A       =					stack[len(A					) - 1]
									else:
													__A       =					ss

									# check if se have reached the starting point
									if len(A					) == 0:
													return visited






	def 							UpperCamelCase_    (			self   :					Optional[Any]				,A   :					Dict=-1					):
					if c == -1:
									__A       =					floor(random() * 1_00_00					) + 10
					for i in range(A					):
									# every vertex has max 100 edges
									for _ in range(floor(random() * 1_02					) + 1					):
													__A       =					floor(random() * c					) + 1
													if n != i:
																	self.add_pair(A				,A				,1					)






	def 							UpperCamelCase_    (			self   :					List[str]				,A   :					Union[str, Any]=-2					):
					__A       =					deque()
					__A       =					[]
					if s == -2:
									__A       =					list(self.graph					)[0]
					d.append(A					)
					visited.append(A					)
					while d:
									__A       =					d.popleft()
									if len(self.graph[s]					) != 0:
													for node in self.graph[s]:
																	if visited.count(node[1]					) < 1:
																					d.append(node[1]					)
																					visited.append(node[1]					)
					return visited






	def 							UpperCamelCase_    (			self   :					int				,A   :					Optional[Any]					):
					return len(self.graph[u]					)






	def 							UpperCamelCase_    (			self   :					str					):
					__A       =					[]
					__A       =					[]
					__A       =					list(self.graph					)[0]
					stack.append(A					)
					visited.append(A					)
					__A       =					-2
					__A       =					[]
					__A       =					s
					__A       =					False
					__A       =					set()

					while True:
									# check if there is any non isolated nodes
									if len(self.graph[s]					) != 0:
													__A       =					s
													for node in self.graph[s]:
																	if (
																	    visited.count(node[1]					) > 0
																	    and node[1] != parent
																	    and indirect_parents.count(node[1]					) > 0
																	    and not on_the_way_back
																	):
																					__A       =					len(A					) - 1
																					while len_stack >= 0:
																									if stack[len_stack] == node[1]:
																													anticipating_nodes.add(node[1]					)
																													break
																									else:
																													anticipating_nodes.add(stack[len_stack]					)
																													len_stack -= 1
																	if visited.count(node[1]					) < 1:
																					stack.append(node[1]					)
																					visited.append(node[1]					)
																					__A       =					node[1]
																					break

            # check if all the children are visited
									if s == ss:
													stack.pop()
													__A       =					True
													if len(A					) != 0:
																	__A       =					stack[len(A					) - 1]
									else:
													__A       =					False
													indirect_parents.append(A					)
													__A       =					s
													__A       =					ss

									# check if se have reached the starting point
									if len(A					) == 0:
													return list(A					)






	def 							UpperCamelCase_    (			self   :					Any					):
					__A       =					[]
					__A       =					[]
					__A       =					list(self.graph					)[0]
					stack.append(A					)
					visited.append(A					)
					__A       =					-2
					__A       =					[]
					__A       =					s
					__A       =					False
					__A       =					set()

					while True:
									# check if there is any non isolated nodes
									if len(self.graph[s]					) != 0:
													__A       =					s
													for node in self.graph[s]:
																	if (
																	    visited.count(node[1]					) > 0
																	    and node[1] != parent
																	    and indirect_parents.count(node[1]					) > 0
																	    and not on_the_way_back
																	):
																					__A       =					len(A					) - 1
																					while len_stack_minus_one >= 0:
																									if stack[len_stack_minus_one] == node[1]:
																													anticipating_nodes.add(node[1]					)
																													break
																									else:
																													return True
																	if visited.count(node[1]					) < 1:
																					stack.append(node[1]					)
																					visited.append(node[1]					)
																					__A       =					node[1]
																					break

            # check if all the children are visited
									if s == ss:
													stack.pop()
													__A       =					True
													if len(A					) != 0:
																	__A       =					stack[len(A					) - 1]
									else:
													__A       =					False
													indirect_parents.append(A					)
													__A       =					s
													__A       =					ss

									# check if se have reached the starting point
									if len(A					) == 0:
													return False






	def 							UpperCamelCase_    (			self   :					Union[str, Any]					):
					return list(self.graph					)






	def 							UpperCamelCase_    (			self   :					Dict				,A   :					Any=-2				,A   :					int=-1					):
					__A       =					time()
					self.dfs(A				,A					)
					__A       =					time()
					return end - begin







	def 							UpperCamelCase_    (			self   :					str				,A   :					List[str]=-2					):
					__A       =					time()
					self.bfs(A					)
					__A       =					time()
					return end - begin




"""simple docstring"""






import unittest

import numpy as np

from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available

from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs


if is_torch_available():
					import torch

if is_vision_available():
					from PIL import Image

					from transformers import MobileNetVaImageProcessor






class      A(  unittest.TestCase		):

		"""simple docstring"""





		def __init__( self					,				SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__=7					,				SCREAMING_SNAKE_CASE__=3					,				SCREAMING_SNAKE_CASE__=18					,				SCREAMING_SNAKE_CASE__=30					,				SCREAMING_SNAKE_CASE__=4_00					,				SCREAMING_SNAKE_CASE__=True					,				SCREAMING_SNAKE_CASE__=None					,				SCREAMING_SNAKE_CASE__=True					,				SCREAMING_SNAKE_CASE__=None					,				)      ->	Dict:

					"""simple docstring"""



					_UpperCamelCase					:Dict					     =	size if size is not None else {'''shortest_edge''': 20}
					_UpperCamelCase					:Union[str, Any]					     =	crop_size if crop_size is not None else {'''height''': 18, '''width''': 18}
					_UpperCamelCase					:str					     =	parent
					_UpperCamelCase					:str					     =	batch_size
					_UpperCamelCase					:str					     =	num_channels
					_UpperCamelCase					:Optional[Any]					     =	image_size
					_UpperCamelCase					:List[str]					     =	min_resolution
					_UpperCamelCase					:Tuple					     =	max_resolution
					_UpperCamelCase					:List[Any]					     =	do_resize
					_UpperCamelCase					:Tuple					     =	size
					_UpperCamelCase					:int					     =	do_center_crop
					_UpperCamelCase					:Optional[int]					     =	crop_size





		def   _UpperCamelCase( self   )      ->	int:

					"""simple docstring"""



					return {
					    "do_resize": self.do_resize,
					    "size": self.size,
					    "do_center_crop": self.do_center_crop,
					    "crop_size": self.crop_size,
					}






@require_torch
@require_vision
class      A(  lowerCamelCase__				,							unittest.TestCase		):

		"""simple docstring"""





		A    =							MobileNetVaImageProcessor if is_vision_available() else None
		def   _UpperCamelCase( self   )      ->	List[Any]:

					"""simple docstring"""



					_UpperCamelCase					:int					     =	MobileNetVaImageProcessingTester(self   )
		@property
		def   _UpperCamelCase( self   )      ->	List[str]:

					"""simple docstring"""



					return self.image_processor_tester.prepare_image_processor_dict()
		def   _UpperCamelCase( self   )      ->	List[Any]:

					"""simple docstring"""



					_UpperCamelCase					:Union[str, Any]					     =	self.image_processing_class(**self.image_processor_dict   )
					self.assertTrue(hasattr(SCREAMING_SNAKE_CASE__					,				'''do_resize'''   )   )
					self.assertTrue(hasattr(SCREAMING_SNAKE_CASE__					,				'''size'''   )   )
					self.assertTrue(hasattr(SCREAMING_SNAKE_CASE__					,				'''do_center_crop'''   )   )
					self.assertTrue(hasattr(SCREAMING_SNAKE_CASE__					,				'''crop_size'''   )   )
		def   _UpperCamelCase( self   )      ->	Dict:

					"""simple docstring"""



					_UpperCamelCase					:List[str]					     =	self.image_processing_class.from_dict(self.image_processor_dict   )
					self.assertEqual(image_processor.size					,				{'''shortest_edge''': 20}   )
					self.assertEqual(image_processor.crop_size					,				{'''height''': 18, '''width''': 18}   )

					_UpperCamelCase					:List[Any]					     =	self.image_processing_class.from_dict(self.image_processor_dict					,				size=42					,				crop_size=84   )
					self.assertEqual(image_processor.size					,				{'''shortest_edge''': 42}   )
					self.assertEqual(image_processor.crop_size					,				{'''height''': 84, '''width''': 84}   )
		def   _UpperCamelCase( self   )      ->	List[Any]:

					"""simple docstring"""



					pass
		def   _UpperCamelCase( self   )      ->	Dict:

					"""simple docstring"""



					_UpperCamelCase					:Any					     =	self.image_processing_class(**self.image_processor_dict   )
					# create random PIL images
					_UpperCamelCase					:Union[str, Any]					     =	prepare_image_inputs(self.image_processor_tester					,				equal_resolution=SCREAMING_SNAKE_CASE__   )
					for image in image_inputs:
								self.assertIsInstance(SCREAMING_SNAKE_CASE__					,				Image.Image   )

					# Test not batched input
					_UpperCamelCase					:Any					     =	image_processing(image_inputs[0]					,				return_tensors='''pt'''   ).pixel_values
					self.assertEqual(
					    encoded_images.shape					,				(
					        1,
					        self.image_processor_tester.num_channels,
					        self.image_processor_tester.crop_size['''height'''],
					        self.image_processor_tester.crop_size['''width'''],
					    )					,				)

					# Test batched
					_UpperCamelCase					:Any					     =	image_processing(SCREAMING_SNAKE_CASE__					,				return_tensors='''pt'''   ).pixel_values
					self.assertEqual(
					    encoded_images.shape					,				(
					        self.image_processor_tester.batch_size,
					        self.image_processor_tester.num_channels,
					        self.image_processor_tester.crop_size['''height'''],
					        self.image_processor_tester.crop_size['''width'''],
					    )					,				)
		def   _UpperCamelCase( self   )      ->	Tuple:

					"""simple docstring"""



					_UpperCamelCase					:int					     =	self.image_processing_class(**self.image_processor_dict   )
					# create random numpy tensors
					_UpperCamelCase					:Any					     =	prepare_image_inputs(self.image_processor_tester					,				equal_resolution=SCREAMING_SNAKE_CASE__					,				numpify=SCREAMING_SNAKE_CASE__   )
					for image in image_inputs:
								self.assertIsInstance(SCREAMING_SNAKE_CASE__					,				np.ndarray   )

					# Test not batched input
					_UpperCamelCase					:Any					     =	image_processing(image_inputs[0]					,				return_tensors='''pt'''   ).pixel_values
					self.assertEqual(
					    encoded_images.shape					,				(
					        1,
					        self.image_processor_tester.num_channels,
					        self.image_processor_tester.crop_size['''height'''],
					        self.image_processor_tester.crop_size['''width'''],
					    )					,				)

					# Test batched
					_UpperCamelCase					:List[str]					     =	image_processing(SCREAMING_SNAKE_CASE__					,				return_tensors='''pt'''   ).pixel_values
					self.assertEqual(
					    encoded_images.shape					,				(
					        self.image_processor_tester.batch_size,
					        self.image_processor_tester.num_channels,
					        self.image_processor_tester.crop_size['''height'''],
					        self.image_processor_tester.crop_size['''width'''],
					    )					,				)





		def   _UpperCamelCase( self   )      ->	Any:

					"""simple docstring"""



					_UpperCamelCase					:List[Any]					     =	self.image_processing_class(**self.image_processor_dict   )
					# create random PyTorch tensors
					_UpperCamelCase					:Union[str, Any]					     =	prepare_image_inputs(self.image_processor_tester					,				equal_resolution=SCREAMING_SNAKE_CASE__					,				torchify=SCREAMING_SNAKE_CASE__   )
					for image in image_inputs:
								self.assertIsInstance(SCREAMING_SNAKE_CASE__					,				torch.Tensor   )

					# Test not batched input
					_UpperCamelCase					:Union[str, Any]					     =	image_processing(image_inputs[0]					,				return_tensors='''pt'''   ).pixel_values
					self.assertEqual(
					    encoded_images.shape					,				(
					        1,
					        self.image_processor_tester.num_channels,
					        self.image_processor_tester.crop_size['''height'''],
					        self.image_processor_tester.crop_size['''width'''],
					    )					,				)

					# Test batched
					_UpperCamelCase					:Optional[int]					     =	image_processing(SCREAMING_SNAKE_CASE__					,				return_tensors='''pt'''   ).pixel_values
					self.assertEqual(
					    encoded_images.shape					,				(
					        self.image_processor_tester.batch_size,
					        self.image_processor_tester.num_channels,
					        self.image_processor_tester.crop_size['''height'''],
					        self.image_processor_tester.crop_size['''width'''],
					    )					,				)

