


"""simple docstring"""







from __future__ import annotations

import time
from math import sqrt

# 1 for manhattan, 0 for euclidean
a__				:							Optional[int]						=     0

a__				:							List[Any]						=     [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

a__				:							Optional[Any]						=     [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right

a__				:							Dict						=     tuple[int, int]




class  UpperCamelCase_	:

	"""simple docstring"""





	def __init__( self			:				str			,			UpperCAmelCase__			:				int			,			UpperCAmelCase__			:				List[Any]			,			UpperCAmelCase__			:				List[Any]			,			UpperCAmelCase__			:				Optional[Any]			,			UpperCAmelCase__			:				Optional[int]			,			UpperCAmelCase__			:				str			,			)       ->	Any:
						__SCREAMING_SNAKE_CASE						   =				pos_x
						__SCREAMING_SNAKE_CASE						   =				pos_y
						__SCREAMING_SNAKE_CASE						   =				(pos_y, pos_x)
						__SCREAMING_SNAKE_CASE						   =				goal_x
						__SCREAMING_SNAKE_CASE						   =				goal_y
						__SCREAMING_SNAKE_CASE						   =				g_cost
						__SCREAMING_SNAKE_CASE						   =				parent
						__SCREAMING_SNAKE_CASE						   =				self.calculate_heuristic()
						__SCREAMING_SNAKE_CASE						   =				self.g_cost + self.h_cost




	def   UpperCAmelCase_      ( self			:				List[Any]   )       ->	Tuple:
						__SCREAMING_SNAKE_CASE						   =				self.pos_x - self.goal_x
						__SCREAMING_SNAKE_CASE						   =				self.pos_y - self.goal_y
						if HEURISTIC == 1:
											return abs(__a   ) + abs(__a   )
						else:
											return sqrt(dy**2 + dx**2   )




	def __lt__( self			:				Optional[int]			,			UpperCAmelCase__			:				Union[str, Any]   )       ->	Tuple:
						return self.f_cost < other.f_cost




class  UpperCamelCase_	:

	"""simple docstring"""





	def __init__( self			:				List[str]			,			UpperCAmelCase__			:				List[str]			,			UpperCAmelCase__			:				Dict   )       ->	Union[str, Any]:
						__SCREAMING_SNAKE_CASE						   =				Node(start[1]			,			start[0]			,			goal[1]			,			goal[0]			,			0			,			__a   )
						__SCREAMING_SNAKE_CASE						   =				Node(goal[1]			,			goal[0]			,			goal[1]			,			goal[0]			,			9_9_9_9_9			,			__a   )

						__SCREAMING_SNAKE_CASE						   =				[self.start]
						__SCREAMING_SNAKE_CASE						   =				[]

						__SCREAMING_SNAKE_CASE						   =				False




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

						while self.open_nodes:
											# Open Nodes are sorted using __lt__
											self.open_nodes.sort()
											__SCREAMING_SNAKE_CASE						   =				self.open_nodes.pop(0   )

											if current_node.pos == self.target.pos:
																return self.retrace_path(__a   )

											self.closed_nodes.append(__a   )
											__SCREAMING_SNAKE_CASE						   =				self.get_successors(__a   )

											for child_node in successors:
																if child_node in self.closed_nodes:
																					continue

																if child_node not in self.open_nodes:
																					self.open_nodes.append(__a   )
																else:
																					# retrieve the best current path
																					__SCREAMING_SNAKE_CASE						   =				self.open_nodes.pop(self.open_nodes.index(__a   )   )

																					if child_node.g_cost < better_node.g_cost:
																										self.open_nodes.append(__a   )
																					else:
																										self.open_nodes.append(__a   )

						return [self.start.pos]




	def   UpperCAmelCase_      ( self			:				Union[str, Any]			,			UpperCAmelCase__			:				List[str]   )       ->	List[str]:
						__SCREAMING_SNAKE_CASE						   =				[]
						for action in delta:
											__SCREAMING_SNAKE_CASE						   =				parent.pos_x + action[1]
											__SCREAMING_SNAKE_CASE						   =				parent.pos_y + action[0]
											if not (0 <= pos_x <= len(grid[0]   ) - 1 and 0 <= pos_y <= len(__a   ) - 1):
																continue

											if grid[pos_y][pos_x] != 0:
																continue

											successors.append(
											    Node(
											        __a			,			__a			,			self.target.pos_y			,			self.target.pos_x			,			parent.g_cost + 1			,			__a			,			)   )
						return successors




	def   UpperCAmelCase_      ( self			:				Dict			,			UpperCAmelCase__			:				Optional[int]   )       ->	Optional[Any]:
						__SCREAMING_SNAKE_CASE						   =				node
						__SCREAMING_SNAKE_CASE						   =				[]
						while current_node is not None:
											path.append((current_node.pos_y, current_node.pos_x)   )
											__SCREAMING_SNAKE_CASE						   =				current_node.parent
						path.reverse()
						return path




class  UpperCamelCase_	:

	"""simple docstring"""





	def __init__( self			:				List[str]			,			UpperCAmelCase__			:				List[Any]			,			UpperCAmelCase__			:				List[str]   )       ->	Union[str, Any]:
						__SCREAMING_SNAKE_CASE						   =				AStar(__a			,			__a   )
						__SCREAMING_SNAKE_CASE						   =				AStar(__a			,			__a   )
						__SCREAMING_SNAKE_CASE						   =				False




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

						while self.fwd_astar.open_nodes or self.bwd_astar.open_nodes:
											self.fwd_astar.open_nodes.sort()
											self.bwd_astar.open_nodes.sort()
											__SCREAMING_SNAKE_CASE						   =				self.fwd_astar.open_nodes.pop(0   )
											__SCREAMING_SNAKE_CASE						   =				self.bwd_astar.open_nodes.pop(0   )

											if current_bwd_node.pos == current_fwd_node.pos:
																return self.retrace_bidirectional_path(
																    __a			,			__a   )

											self.fwd_astar.closed_nodes.append(__a   )
											self.bwd_astar.closed_nodes.append(__a   )

											__SCREAMING_SNAKE_CASE						   =				current_bwd_node
											__SCREAMING_SNAKE_CASE						   =				current_fwd_node

											__SCREAMING_SNAKE_CASE						   =				{
											    self.fwd_astar: self.fwd_astar.get_successors(__a   ),
											    self.bwd_astar: self.bwd_astar.get_successors(__a   ),
											}

											for astar in [self.fwd_astar, self.bwd_astar]:
																for child_node in successors[astar]:
																					if child_node in astar.closed_nodes:
																										continue

																					if child_node not in astar.open_nodes:
																										astar.open_nodes.append(__a   )
																					else:
																										# retrieve the best current path
																										__SCREAMING_SNAKE_CASE						   =				astar.open_nodes.pop(
																										    astar.open_nodes.index(__a   )   )

																										if child_node.g_cost < better_node.g_cost:
																															astar.open_nodes.append(__a   )
																										else:
																															astar.open_nodes.append(__a   )

						return [self.fwd_astar.start.pos]




	def   UpperCAmelCase_      ( self			:				List[Any]			,			UpperCAmelCase__			:				Tuple			,			UpperCAmelCase__			:				Union[str, Any]   )       ->	Dict:
						__SCREAMING_SNAKE_CASE						   =				self.fwd_astar.retrace_path(__a   )
						__SCREAMING_SNAKE_CASE						   =				self.bwd_astar.retrace_path(__a   )
						bwd_path.pop()
						bwd_path.reverse()
						__SCREAMING_SNAKE_CASE						   =				fwd_path + bwd_path
						return path


if __name__ == "__main__":
		# all coordinates are given in format [y,x]
		a__				:							List[Any]						=     (0, 0)
		a__				:							Union[str, Any]						=     (len(grid) - 1, len(grid[0]) - 1)
		for elem in grid:
				print(elem)

		a__				:							Union[str, Any]						=     time.time()
		a__				:							Tuple						=     AStar(init, goal)
		a__				:							Tuple						=     a_star.search()
		a__				:							Tuple						=     time.time() - start_time
		print(F"AStar execution time = {end_time:f} seconds")

		a__				:							Tuple						=     time.time()
		a__				:							Dict						=     BidirectionalAStar(init, goal)
		a__				:							List[Any]						=     time.time() - bd_start_time
		print(F"BidirectionalAStar execution time = {bd_end_time:f} seconds")





import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoImageProcessor, ViTImageProcessor
from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test


sys.path.append(str(Path(__file__).parent.parent / "utils"))

from test_module.custom_image_processing import CustomImageProcessor  # noqa E402


_snake_case		=  get_tests_dir("fixtures")



class   UpperCAmelCase_    (       unittest.TestCase):







							def    snake_case__      (   self):

														'''simple docstring'''

														_lowerCAmelCase     :							Optional[Any]    =    mock.Mock()
														_lowerCAmelCase     :							int    =    500
														_lowerCAmelCase     :							Tuple    =    {}
														_lowerCAmelCase     :							str    =    HTTPError
														_lowerCAmelCase     :							Union[str, Any]    =    {}

														# Download this model to make sure it's in the cache.
														_lowerCAmelCase     :							Tuple    =    ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit")
														# Under the mock environment we get a 500 error when trying to reach the model.
														with mock.patch("requests.Session.request",			return_value=__a) as mock_head:
																					_lowerCAmelCase     :							Optional[int]    =    ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit")
																					# This check we did call the fake head request
																					mock_head.assert_called()







							def    snake_case__      (   self):

														'''simple docstring'''

														_lowerCAmelCase     :							Tuple    =    ViTImageProcessor.from_pretrained(
														    "https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json")







							def    snake_case__      (   self):

														'''simple docstring'''

														with self.assertRaises(__a):
																					# config is in subfolder, the following should not work without specifying the subfolder
																					_lowerCAmelCase     :							int    =    AutoImageProcessor.from_pretrained("hf-internal-testing/stable-diffusion-all-variants")

														_lowerCAmelCase     :							Optional[Any]    =    AutoImageProcessor.from_pretrained(
														    "hf-internal-testing/stable-diffusion-all-variants",			subfolder="feature_extractor")

														self.assertIsNotNone(__a)



@is_staging_test
class   UpperCAmelCase_    (       unittest.TestCase):







							@classmethod
							def    snake_case__      (   cls):

														'''simple docstring'''

														_lowerCAmelCase     :							Union[str, Any]    =    TOKEN
														HfFolder.save_token(__a)







							@classmethod
							def    snake_case__      (   cls):

														'''simple docstring'''

														try:
																					delete_repo(token=cls._token,			repo_id="test-image-processor")
														except HTTPError:
																					pass

														try:
																					delete_repo(token=cls._token,			repo_id="valid_org/test-image-processor-org")
														except HTTPError:
																					pass

														try:
																					delete_repo(token=cls._token,			repo_id="test-dynamic-image-processor")
														except HTTPError:
																					pass







							def    snake_case__      (   self):

														'''simple docstring'''

														_lowerCAmelCase     :							Optional[int]    =    ViTImageProcessor.from_pretrained(__a)
														image_processor.push_to_hub("test-image-processor",			use_auth_token=self._token)

														_lowerCAmelCase     :							str    =    ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor")
														for k, v in image_processor.__dict__.items():
																					self.assertEqual(__a,			getattr(__a,			__a))

														# Reset repo
														delete_repo(token=self._token,			repo_id="test-image-processor")

														# Push to hub via save_pretrained
														with tempfile.TemporaryDirectory() as tmp_dir:
																					image_processor.save_pretrained(
																					    __a,			repo_id="test-image-processor",			push_to_hub=__a,			use_auth_token=self._token)

														_lowerCAmelCase     :							Optional[int]    =    ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor")
														for k, v in image_processor.__dict__.items():
																					self.assertEqual(__a,			getattr(__a,			__a))







							def    snake_case__      (   self):

														'''simple docstring'''

														_lowerCAmelCase     :							Any    =    ViTImageProcessor.from_pretrained(__a)
														image_processor.push_to_hub("valid_org/test-image-processor",			use_auth_token=self._token)

														_lowerCAmelCase     :							Tuple    =    ViTImageProcessor.from_pretrained("valid_org/test-image-processor")
														for k, v in image_processor.__dict__.items():
																					self.assertEqual(__a,			getattr(__a,			__a))

														# Reset repo
														delete_repo(token=self._token,			repo_id="valid_org/test-image-processor")

														# Push to hub via save_pretrained
														with tempfile.TemporaryDirectory() as tmp_dir:
																					image_processor.save_pretrained(
																					    __a,			repo_id="valid_org/test-image-processor-org",			push_to_hub=__a,			use_auth_token=self._token)

														_lowerCAmelCase     :							Optional[int]    =    ViTImageProcessor.from_pretrained("valid_org/test-image-processor-org")
														for k, v in image_processor.__dict__.items():
																					self.assertEqual(__a,			getattr(__a,			__a))







							def    snake_case__      (   self):

														'''simple docstring'''

														CustomImageProcessor.register_for_auto_class()
														_lowerCAmelCase     :							List[str]    =    CustomImageProcessor.from_pretrained(__a)

														image_processor.push_to_hub("test-dynamic-image-processor",			use_auth_token=self._token)

														# This has added the proper auto_map field to the config
														self.assertDictEqual(
														    image_processor.auto_map,			{"AutoImageProcessor": "custom_image_processing.CustomImageProcessor"},			)

														_lowerCAmelCase     :							Tuple    =    AutoImageProcessor.from_pretrained(
														    f"{USER}/test-dynamic-image-processor",			trust_remote_code=__a)
														# Can't make an isinstance check because the new_image_processor is from the CustomImageProcessor class of a dynamic module
														self.assertEqual(new_image_processor.__class__.__name__,			"CustomImageProcessor")
