


from __future__ import annotations

import time
from math import sqrt

# 1 for manhattan, 0 for euclidean
snake_case_						:			Tuple													=							0

snake_case_						:			Dict													=							[
    [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],
]

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

snake_case_						:			Optional[Any]													=							tuple[int, int]

class 						A__							:




						def __init__(       self					:      str				,    _a					:      int				,    _a					:      int				,    _a					:      int				,    _a					:      int				,    _a					:      int				,    _a					:      Node | None				,    )							->     None:


										"""simple docstring"""





										_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[str]  )							->     float:


										"""simple docstring"""





										_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					:      List[str]				,    _a					:      Node  )							->     bool:


										"""simple docstring"""





										return self.f_cost < other.f_cost

class 						A__							:




						def __init__(       self					:      int				,    _a					:      TPosition				,    _a					:      TPosition  )							->     List[Any]:


										"""simple docstring"""





										_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_9999				,    _a  )

										_SCREAMING_SNAKE_CASE			  =[self.start]
										_SCREAMING_SNAKE_CASE			  =[]

										_SCREAMING_SNAKE_CASE			  =False




						def 							__UpperCamelCase				(       self					:      Dict  )							->     list[TPosition]:


										"""simple docstring"""





										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					:      Tuple				,    _a					:      Node  )							->     list[Node]:


										"""simple docstring"""





										_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					:      List[Any]				,    _a					:      Node | None  )							->     list[TPosition]:


										"""simple docstring"""





										_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 						A__							:




						def __init__(       self					:      Any				,    _a					:      TPosition				,    _a					:      TPosition  )							->     None:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =AStar(_a				,    _a  )
										_SCREAMING_SNAKE_CASE			  =AStar(_a				,    _a  )
										_SCREAMING_SNAKE_CASE			  =False




						def 							__UpperCamelCase				(       self					:      Any  )							->     list[TPosition]:


										"""simple docstring"""





										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					:      int				,    _a					:      Node				,    _a					:      Node  )							->     list[TPosition]:


										"""simple docstring"""





										_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]
					snake_case_						:			Dict													=							(0, 0)
					snake_case_						:			List[str]													=							(len(grid) - 1, len(grid[0]) - 1)
					for elem in grid:
										print(elem)

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

					snake_case_						:			Tuple													=							time.time()
					snake_case_						:			Any													=							BidirectionalAStar(init, goal)
					snake_case_						:			int													=							time.time() - bd_start_time
					print(f"""BidirectionalAStar execution time = {bd_end_time:f} seconds""")



import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin

class 						A__							(		UpperCamelCase__   ,     unittest.TestCase  ):
						UpperCAmelCase             =						ProphetNetTokenizer
						UpperCAmelCase             =						False




						def 							__UpperCamelCase				(       self					:      List[Any]  )							->     int:


										"""simple docstring"""





										super().setUp()

										_SCREAMING_SNAKE_CASE			  =[
										    '''[UNK]''',
										    '''[CLS]''',
										    '''[SEP]''',
										    '''[PAD]''',
										    '''[MASK]''',
										    '''want''',
										    '''##want''',
										    '''##ed''',
										    '''wa''',
										    '''un''',
										    '''runn''',
										    '''##ing''',
										    ''',''',
										    '''low''',
										    '''lowest''',
										]
										_SCREAMING_SNAKE_CASE			  =os.path.join(self.tmpdirname				,    VOCAB_FILES_NAMES['''vocab_file''']  )
										with open(self.vocab_file				,    '''w'''				,    encoding='''utf-8'''  ) as vocab_writer:
														vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]  )  )




						def 							__UpperCamelCase				(       self					:      str				,    _a					:      Union[str, Any]  )							->     List[str]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  ='''UNwant\u00E9d,running'''
										_SCREAMING_SNAKE_CASE			  ='''unwanted, running'''
										return input_text, output_text




						def 							__UpperCamelCase				(       self					:      Optional[int]  )							->     str:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =self.tokenizer_class(self.vocab_file  )

										_SCREAMING_SNAKE_CASE			  =tokenizer.tokenize('''UNwant\u00E9d,running'''  )
										self.assertListEqual(_a				,    ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']  )
										self.assertListEqual(tokenizer.convert_tokens_to_ids(_a  )				,    [9, 6, 7, 12, 10, 11]  )




						def 							__UpperCamelCase				(       self					:      Tuple  )							->     Tuple:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =BasicTokenizer()

										self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''  )				,    ['''ah''', '''\u535A''', '''\u63A8''', '''zz''']  )




						def 							__UpperCamelCase				(       self					:      Dict  )							->     List[Any]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =BasicTokenizer(do_lower_case=_a  )

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''  )				,    ['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']  )
										self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''  )				,    ['''hello''']  )




						def 							__UpperCamelCase				(       self					:      Dict  )							->     Dict:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =BasicTokenizer(do_lower_case=_a				,    strip_accents=_a  )

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''  )				,    ['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']  )
										self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''  )				,    ['''h\u00E9llo''']  )




						def 							__UpperCamelCase				(       self					:      List[str]  )							->     int:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =BasicTokenizer(do_lower_case=_a				,    strip_accents=_a  )

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''  )				,    ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']  )
										self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''  )				,    ['''hello''']  )




						def 							__UpperCamelCase				(       self					:      Optional[int]  )							->     Tuple:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =BasicTokenizer(do_lower_case=_a  )

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''  )				,    ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']  )
										self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''  )				,    ['''hello''']  )




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


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =BasicTokenizer(do_lower_case=_a  )

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''  )				,    ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']  )




						def 							__UpperCamelCase				(       self					:      Dict  )							->     int:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =BasicTokenizer(do_lower_case=_a				,    strip_accents=_a  )

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''  )				,    ['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']  )




						def 							__UpperCamelCase				(       self					:      Optional[Any]  )							->     int:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =BasicTokenizer(do_lower_case=_a				,    strip_accents=_a  )

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''  )				,    ['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']  )




						def 							__UpperCamelCase				(       self					:      List[str]  )							->     Dict:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =BasicTokenizer(do_lower_case=_a				,    never_split=['''[UNK]''']  )

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''  )				,    ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']  )




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


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

										_SCREAMING_SNAKE_CASE			  ={}
										for i, token in enumerate(_a  ):
														_SCREAMING_SNAKE_CASE			  =i
										_SCREAMING_SNAKE_CASE			  =WordpieceTokenizer(vocab=_a				,    unk_token='''[UNK]'''  )

										self.assertListEqual(tokenizer.tokenize(''''''  )				,    []  )

										self.assertListEqual(tokenizer.tokenize('''unwanted running'''  )				,    ['''un''', '''##want''', '''##ed''', '''runn''', '''##ing''']  )

										self.assertListEqual(tokenizer.tokenize('''unwantedX running'''  )				,    ['''[UNK]''', '''runn''', '''##ing''']  )




						@require_torch
						def 							__UpperCamelCase				(       self					:      Any  )							->     Union[str, Any]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''  )

										_SCREAMING_SNAKE_CASE			  =['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
										_SCREAMING_SNAKE_CASE			  =[1037, 2146, 2_0423, 2005, 7680, 7849, 3989, 1012, 102]
										_SCREAMING_SNAKE_CASE			  =tokenizer(_a				,    padding=_a				,    return_tensors='''pt'''  )
										self.assertIsInstance(_a				,    _a  )
										_SCREAMING_SNAKE_CASE			  =list(batch.input_ids.numpy()[0]  )
										self.assertListEqual(_a				,    _a  )

										self.assertEqual((2, 9)				,    batch.input_ids.shape  )
										self.assertEqual((2, 9)				,    batch.attention_mask.shape  )




						def 							__UpperCamelCase				(       self					:      List[str]  )							->     Optional[int]:


										"""simple docstring"""





										self.assertTrue(_is_whitespace(''' '''  )  )
										self.assertTrue(_is_whitespace('''\t'''  )  )
										self.assertTrue(_is_whitespace('''\r'''  )  )
										self.assertTrue(_is_whitespace('''\n'''  )  )
										self.assertTrue(_is_whitespace('''\u00A0'''  )  )

										self.assertFalse(_is_whitespace('''A'''  )  )
										self.assertFalse(_is_whitespace('''-'''  )  )




						def 							__UpperCamelCase				(       self					:      int  )							->     Dict:


										"""simple docstring"""





										self.assertTrue(_is_control('''\u0005'''  )  )

										self.assertFalse(_is_control('''A'''  )  )
										self.assertFalse(_is_control(''' '''  )  )
										self.assertFalse(_is_control('''\t'''  )  )
										self.assertFalse(_is_control('''\r'''  )  )




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


										"""simple docstring"""





										self.assertTrue(_is_punctuation('''-'''  )  )
										self.assertTrue(_is_punctuation('''$'''  )  )
										self.assertTrue(_is_punctuation('''`'''  )  )
										self.assertTrue(_is_punctuation('''.'''  )  )

										self.assertFalse(_is_punctuation('''A'''  )  )
										self.assertFalse(_is_punctuation(''' '''  )  )




						@slow
						def 							__UpperCamelCase				(       self					:      Tuple  )							->     int:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''  )

										_SCREAMING_SNAKE_CASE			  =tokenizer.encode('''sequence builders'''				,    add_special_tokens=_a  )
										_SCREAMING_SNAKE_CASE			  =tokenizer.encode('''multi-sequence build'''				,    add_special_tokens=_a  )

										_SCREAMING_SNAKE_CASE			  =tokenizer.build_inputs_with_special_tokens(_a  )
										_SCREAMING_SNAKE_CASE			  =tokenizer.build_inputs_with_special_tokens(_a				,    _a  )

										assert encoded_sentence == text + [102]
										assert encoded_pair == text + [102] + text_a + [102]