"""simple docstring"""




from __future__ import annotations

__lowerCamelCase							 =     [
    [-1, 0],  # left
    [0, -1],  # down
    [1, 0],  # right
    [0, 1],  # up
]






def      UpperCAmelCase    (		UpperCamelCase__				,			UpperCamelCase__				,			UpperCamelCase__				,			UpperCamelCase__				,			UpperCamelCase__				,			):






							"""simple docstring"""





							A__		   =							[
							    [0 for col in range(len(grid[0] ) )] for row in range(len(UpperCamelCase__ ) )
							]  # the reference grid
							A__		   =							1
							A__		   =							[
							    [0 for col in range(len(grid[0] ) )] for row in range(len(UpperCamelCase__ ) )
							]  # the action grid

							A__		   =							init[0]
							A__		   =							init[1]
							A__		   =							0
							A__		   =							g + heuristic[x][y]  # cost from starting cell to destination cell
							A__		   =							[[f, g, x, y]]

							A__		   =							False  # flag that is set when search is complete
							A__		   =							False  # flag set if we can't find expand

							while not found and not resign:
														if len(UpperCamelCase__ ) == 0:
																					raise ValueError('Algorithm is unable to find solution' )
														else:  # to choose the least costliest action so as to move closer to the goal
																					cell.sort()
																					cell.reverse()
																					A__		   =							cell.pop()
																					A__		   =							next_cell[2]
																					A__		   =							next_cell[3]
																					A__		   =							next_cell[1]

																					if x == goal[0] and y == goal[1]:
																												A__		   =							True
																					else:
																												for i in range(len(UpperCamelCase__ ) ):  # to try out different valid actions
																																			A__		   =							x + DIRECTIONS[i][0]
																																			A__		   =							y + DIRECTIONS[i][1]
																																			if xa >= 0 and xa < len(UpperCamelCase__ ) and ya >= 0 and ya < len(grid[0] ):
																																										if closed[xa][ya] == 0 and grid[xa][ya] == 0:
																																																	A__		   =							g + cost
																																																	A__		   =							ga + heuristic[xa][ya]
																																																	cell.append([fa, ga, xa, ya] )
																																																	A__		   =							1
																																																	A__		   =							i
							A__		   =							[]
							A__		   =							goal[0]
							A__		   =							goal[1]
							invpath.append([x, y] )  # we get the reverse path from here
							while x != init[0] or y != init[1]:
														A__		   =							x - DIRECTIONS[action[x][y]][0]
														A__		   =							y - DIRECTIONS[action[x][y]][1]
														A__		   =							xa
														A__		   =							ya
														invpath.append([x, y] )

							A__		   =							[]
							for i in range(len(UpperCamelCase__ ) ):
														path.append(invpath[len(UpperCamelCase__ ) - 1 - i] )
							return path, action


if __name__ == "__main__":
				__lowerCamelCase							 =     [
				    [0, 1, 0, 0, 0, 0],
				    [0, 1, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
				    [0, 1, 0, 0, 0, 0],
				    [0, 1, 0, 0, 1, 0],
				    [0, 0, 0, 0, 1, 0],
				]

				__lowerCamelCase							 =     [0, 0]
				# all coordinates are given in format [y,x]
				__lowerCamelCase							 =     [len(grid) - 1, len(grid[0]) - 1]
				__lowerCamelCase							 =     1

				# the cost map which pushes the path closer to the goal
				__lowerCamelCase							 =     [[0 for row in range(len(grid[0]))] for col in range(len(grid))]
				for i in range(len(grid)):
								for j in range(len(grid[0])):
												__lowerCamelCase							 =     abs(i - goal[0]) + abs(j - goal[1])
												if grid[i][j] == 1:
																# added extra penalty in the heuristic map
																__lowerCamelCase							 =     99

				__lowerCamelCase ,      __lowerCamelCase							 =     search(grid, init, goal, cost, heuristic)

				print("ACTION MAP")
				for i in range(len(action)):
								print(action[i])

				for i in range(len(path)):
								print(path[i])






"""simple docstring"""




import contextlib
import importlib
import io
import unittest

import transformers

# Try to import everything from transformers to ensure every object can be loaded.
from transformers import *  # noqa F406
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, require_tf, require_torch
from transformers.utils import ContextManagers, find_labels, is_flax_available, is_tf_available, is_torch_available


if is_torch_available():
				from transformers import BertForPreTraining, BertForQuestionAnswering, BertForSequenceClassification

if is_tf_available():
				from transformers import TFBertForPreTraining, TFBertForQuestionAnswering, TFBertForSequenceClassification

if is_flax_available():
				from transformers import FlaxBertForPreTraining, FlaxBertForQuestionAnswering, FlaxBertForSequenceClassification


__lowerCamelCase							 =     DUMMY_UNKNOWN_IDENTIFIER
# An actual model hosted on huggingface.co

__lowerCamelCase							 =     "main"
# Default branch name
__lowerCamelCase							 =     "f2c752cfc5c0ab6f4bdec59acea69eefbee381c2"
# One particular commit (not the top of `main`)
__lowerCamelCase							 =     "aaaaaaa"
# This commit does not exist, so we should 404.

__lowerCamelCase							 =     "d9e9f15bc825e4b2c9249e9578f884bbcb5e3684"
# Sha-1 of config.json on the top of `main`, for checking purposes
__lowerCamelCase							 =     "4b243c475af8d0a7754e87d7d096c92e5199ec2fe168a2ee7998e3b8e9bcb1d3"






@contextlib.contextmanager
def      UpperCAmelCase    (		):






							"""simple docstring"""





							print('Welcome!' )
							yield
							print('Bye!' )






@contextlib.contextmanager
def      UpperCAmelCase    (		):






							"""simple docstring"""





							print('Bonjour!' )
							yield
							print('Au revoir!' )
class 			UpperCamelCase__(	unittest.TestCase       ):





						def  snake_case__		(				self   )    -> List[str]:
													# If the spec is missing, importlib would not be able to import the module dynamically.
													assert transformers.__spec__ is not None
													assert importlib.util.find_spec('transformers'   ) is not None






class 			UpperCamelCase__(	unittest.TestCase       ):





						@unittest.mock.patch('sys.stdout'						,new_callable=io.StringIO   )
						def  snake_case__		(				self						,__UpperCAmelCase   )    -> Dict:
													with ContextManagers([]   ):
																				print('Transformers are awesome!'   )
													# The print statement adds a new line at the end of the output
													self.assertEqual(mock_stdout.getvalue()						,'Transformers are awesome!\n'   )





						@unittest.mock.patch('sys.stdout'						,new_callable=io.StringIO   )
						def  snake_case__		(				self						,__UpperCAmelCase   )    -> List[str]:
													with ContextManagers([context_en()]   ):
																				print('Transformers are awesome!'   )
													# The output should be wrapped with an English welcome and goodbye
													self.assertEqual(mock_stdout.getvalue()						,'Welcome!\nTransformers are awesome!\nBye!\n'   )





						@unittest.mock.patch('sys.stdout'						,new_callable=io.StringIO   )
						def  snake_case__		(				self						,__UpperCAmelCase   )    -> Any:
													with ContextManagers([context_fr(), context_en()]   ):
																				print('Transformers are awesome!'   )
													# The output should be wrapped with an English and French welcome and goodbye
													self.assertEqual(mock_stdout.getvalue()						,'Bonjour!\nWelcome!\nTransformers are awesome!\nBye!\nAu revoir!\n'   )





						@require_torch
						def  snake_case__		(				self   )    -> Union[str, Any]:
													self.assertEqual(find_labels(__UpperCAmelCase   )						,['labels']   )
													self.assertEqual(find_labels(__UpperCAmelCase   )						,['labels', 'next_sentence_label']   )
													self.assertEqual(find_labels(__UpperCAmelCase   )						,['start_positions', 'end_positions']   )
													class 			UpperCamelCase__(	__A       ):
																			pass






													self.assertEqual(find_labels(__UpperCAmelCase   )						,['labels']   )





						@require_tf
						def  snake_case__		(				self   )    -> str:
													self.assertEqual(find_labels(__UpperCAmelCase   )						,['labels']   )
													self.assertEqual(find_labels(__UpperCAmelCase   )						,['labels', 'next_sentence_label']   )
													self.assertEqual(find_labels(__UpperCAmelCase   )						,['start_positions', 'end_positions']   )
													class 			UpperCamelCase__(	__A       ):
																			pass






													self.assertEqual(find_labels(__UpperCAmelCase   )						,['labels']   )





						@require_flax
						def  snake_case__		(				self   )    -> List[Any]:
													# Flax models don't have labels
													self.assertEqual(find_labels(__UpperCAmelCase   )						,[]   )
													self.assertEqual(find_labels(__UpperCAmelCase   )						,[]   )
													self.assertEqual(find_labels(__UpperCAmelCase   )						,[]   )
													class 			UpperCamelCase__(	__A       ):
																			pass






													self.assertEqual(find_labels(__UpperCAmelCase   )						,[]   )





