






import json
import os
import shutil
import tempfile
from unittest import TestCase

from transformers import BartTokenizer, BartTokenizerFast, DPRQuestionEncoderTokenizer, DPRQuestionEncoderTokenizerFast
from transformers.models.bart.configuration_bart import BartConfig
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES as DPR_VOCAB_FILES_NAMES
from transformers.models.dpr.configuration_dpr import DPRConfig
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES as BART_VOCAB_FILES_NAMES
from transformers.testing_utils import require_faiss, require_tokenizers, require_torch, slow
from transformers.utils import is_datasets_available, is_faiss_available, is_torch_available


if is_torch_available() and is_datasets_available() and is_faiss_available():
 from transformers.models.rag.configuration_rag import RagConfig
 from transformers.models.rag.tokenization_rag import RagTokenizer


@require_faiss
@require_torch
class    _lowerCAmelCase			(		__A      ):



    """simple docstring"""



    def 					__magic_name__							(      self    :    Optional[int]):






           '''simple docstring'''







           snake_case__	  =       tempfile.mkdtemp()
           snake_case__	  =       8

           # DPR tok
           snake_case__	  =       [
               '[UNK]',
               '[CLS]',
               '[SEP]',
               '[PAD]',
               '[MASK]',
               'want',
               '##want',
               '##ed',
               'wa',
               'un',
               'runn',
               '##ing',
               ',',
               'low',
               'lowest',
           ]
           snake_case__	  =       os.path.join(self.tmpdirname			,		"""dpr_tokenizer""")
           os.makedirs(UpperCamelCase__			,		exist_ok=UpperCamelCase__)
           snake_case__	  =       os.path.join(UpperCamelCase__			,		DPR_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]))

           # BART tok
           snake_case__	  =       [
               'l',
               'o',
               'w',
               'e',
               'r',
               's',
               't',
               'i',
               'd',
               'n',
               '\u0120',
               '\u0120l',
               '\u0120n',
               '\u0120lo',
               '\u0120low',
               'er',
               '\u0120lowest',
               '\u0120newer',
               '\u0120wider',
               '<unk>',
           ]
           snake_case__	  =       dict(zip(UpperCamelCase__			,		range(len(UpperCamelCase__))))
           snake_case__	  =       ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
           snake_case__	  =       {'unk_token': '<unk>'}

           snake_case__	  =       os.path.join(self.tmpdirname			,		"""bart_tokenizer""")
           os.makedirs(UpperCamelCase__			,		exist_ok=UpperCamelCase__)
           snake_case__	  =       os.path.join(UpperCamelCase__			,		BART_VOCAB_FILES_NAMES["""vocab_file"""])
           snake_case__	  =       os.path.join(UpperCamelCase__			,		BART_VOCAB_FILES_NAMES["""merges_file"""])
           with open(self.vocab_file			,		"""w"""			,		encoding="""utf-8""") as fp:
                  fp.write(json.dumps(UpperCamelCase__) + """\n""")
           with open(self.merges_file			,		"""w"""			,		encoding="""utf-8""") as fp:
                  fp.write("""\n""".join(UpperCamelCase__))



    def 					__magic_name__							(      self    :    List[str]):






           '''simple docstring'''







           return DPRQuestionEncoderTokenizer.from_pretrained(os.path.join(self.tmpdirname			,		"""dpr_tokenizer"""))



    def 					__magic_name__							(      self    :    Dict):






           '''simple docstring'''







           return BartTokenizer.from_pretrained(os.path.join(self.tmpdirname			,		"""bart_tokenizer"""))



    def 					__magic_name__							(      self    :    Tuple):






           '''simple docstring'''







           shutil.rmtree(self.tmpdirname)



    @require_tokenizers
    def 					__magic_name__							(      self    :    List[Any]):






           '''simple docstring'''







           snake_case__	  =       os.path.join(self.tmpdirname			,		"""rag_tokenizer""")
           snake_case__	  =       RagConfig(question_encoder=DPRConfig().to_dict()			,		generator=BartConfig().to_dict())
           snake_case__	  =       RagTokenizer(question_encoder=self.get_dpr_tokenizer()			,		generator=self.get_bart_tokenizer())
           rag_config.save_pretrained(UpperCamelCase__)
           rag_tokenizer.save_pretrained(UpperCamelCase__)
           snake_case__	  =       RagTokenizer.from_pretrained(UpperCamelCase__			,		config=UpperCamelCase__)
           self.assertIsInstance(new_rag_tokenizer.question_encoder			,		UpperCamelCase__)
           self.assertEqual(new_rag_tokenizer.question_encoder.get_vocab()			,		rag_tokenizer.question_encoder.get_vocab())
           self.assertIsInstance(new_rag_tokenizer.generator			,		UpperCamelCase__)
           self.assertEqual(new_rag_tokenizer.generator.get_vocab()			,		rag_tokenizer.generator.get_vocab())



    @slow
    def 					__magic_name__							(      self    :    Optional[Any]):






           '''simple docstring'''







           snake_case__	  =       RagTokenizer.from_pretrained("""facebook/rag-token-nq""")
           snake_case__	  =       [
               'who got the first nobel prize in physics',
               'when is the next deadpool movie being released',
               'which mode is used for short wave broadcast service',
               'who is the owner of reading football club',
               'when is the next scandal episode coming out',
               'when is the last time the philadelphia won the superbowl',
               'what is the most current adobe flash player version',
               'how many episodes are there in dragon ball z',
               'what is the first step in the evolution of the eye',
               'where is gall bladder situated in human body',
               'what is the main mineral in lithium batteries',
               'who is the president of usa right now',
               'where do the greasers live in the outsiders',
               'panda is a national animal of which country',
               'what is the name of manchester united stadium',
           ]
           snake_case__	  =       tokenizer(UpperCamelCase__)
           self.assertIsNotNone(UpperCamelCase__)



    @slow
    def 					__magic_name__							(      self    :    Optional[Any]):






           '''simple docstring'''







           snake_case__	  =       RagTokenizer.from_pretrained("""facebook/rag-sequence-nq""")
           snake_case__	  =       [
               'who got the first nobel prize in physics',
               'when is the next deadpool movie being released',
               'which mode is used for short wave broadcast service',
               'who is the owner of reading football club',
               'when is the next scandal episode coming out',
               'when is the last time the philadelphia won the superbowl',
               'what is the most current adobe flash player version',
               'how many episodes are there in dragon ball z',
               'what is the first step in the evolution of the eye',
               'where is gall bladder situated in human body',
               'what is the main mineral in lithium batteries',
               'who is the president of usa right now',
               'where do the greasers live in the outsiders',
               'panda is a national animal of which country',
               'what is the name of manchester united stadium',
           ]
           snake_case__	  =       tokenizer(UpperCamelCase__)
           self.assertIsNotNone(UpperCamelCase__)








from __future__ import annotations

import time

a__       =     list[tuple[int, int]]

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


class    _lowerCAmelCase			:



				"""simple docstring"""



				def __init__(      self    :    Dict			,		UpperCamelCase__    :    int			,		UpperCamelCase__    :    int			,		UpperCamelCase__    :    int			,		UpperCamelCase__    :    int			,		UpperCamelCase__    :    Node | None):






											'''simple docstring'''







											snake_case__	  =       pos_x
											snake_case__	  =       pos_y
											snake_case__	  =       (pos_y, pos_x)
											snake_case__	  =       goal_x
											snake_case__	  =       goal_y
											snake_case__	  =       parent


class    _lowerCAmelCase			:



				"""simple docstring"""



				def __init__(      self    :    Optional[int]			,		UpperCamelCase__    :    tuple[int, int]			,		UpperCamelCase__    :    tuple[int, int]):






											'''simple docstring'''







											snake_case__	  =       Node(start[1]			,		start[0]			,		goal[1]			,		goal[0]			,		UpperCamelCase__)
											snake_case__	  =       Node(goal[1]			,		goal[0]			,		goal[1]			,		goal[0]			,		UpperCamelCase__)

											snake_case__	  =       [self.start]
											snake_case__	  =       False



				def 					__magic_name__							(      self    :    List[Any]):






											'''simple docstring'''







											while self.node_queue:
																		snake_case__	  =       self.node_queue.pop(0)

																		if current_node.pos == self.target.pos:
																									snake_case__	  =       True
																									return self.retrace_path(UpperCamelCase__)

																		snake_case__	  =       self.get_successors(UpperCamelCase__)

																		for node in successors:
																									self.node_queue.append(UpperCamelCase__)

											if not self.reached:
																		return [self.start.pos]
											return None



				def 					__magic_name__							(      self    :    Any			,		UpperCamelCase__    :    Node):






											'''simple docstring'''







											snake_case__	  =       []
											for action in delta:
																		snake_case__	  =       parent.pos_x + action[1]
																		snake_case__	  =       parent.pos_y + action[0]
																		if not (0 <= pos_x <= len(grid[0]) - 1 and 0 <= pos_y <= len(UpperCamelCase__) - 1):
																									continue

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

																		successors.append(
																		    Node(UpperCamelCase__			,		UpperCamelCase__			,		self.target.pos_y			,		self.target.pos_x			,		UpperCamelCase__))
											return successors



				def 					__magic_name__							(      self    :    str			,		UpperCamelCase__    :    Node | None):






											'''simple docstring'''







											snake_case__	  =       node
											snake_case__	  =       []
											while current_node is not None:
																		path.append((current_node.pos_y, current_node.pos_x))
																		snake_case__	  =       current_node.parent
											path.reverse()
											return path


class    _lowerCAmelCase			:



				"""simple docstring"""



				def __init__(      self    :    str			,		UpperCamelCase__    :    Optional[Any]			,		UpperCamelCase__    :    Any):






											'''simple docstring'''







											snake_case__	  =       BreadthFirstSearch(UpperCamelCase__			,		UpperCamelCase__)
											snake_case__	  =       BreadthFirstSearch(UpperCamelCase__			,		UpperCamelCase__)
											snake_case__	  =       False



				def 					__magic_name__							(      self    :    Any):






											'''simple docstring'''







											while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
																		snake_case__	  =       self.fwd_bfs.node_queue.pop(0)
																		snake_case__	  =       self.bwd_bfs.node_queue.pop(0)

																		if current_bwd_node.pos == current_fwd_node.pos:
																									snake_case__	  =       True
																									return self.retrace_bidirectional_path(
																									    UpperCamelCase__			,		UpperCamelCase__)

																		snake_case__	  =       current_bwd_node
																		snake_case__	  =       current_fwd_node

																		snake_case__	  =       {
																		    self.fwd_bfs: self.fwd_bfs.get_successors(UpperCamelCase__),
																		    self.bwd_bfs: self.bwd_bfs.get_successors(UpperCamelCase__),
																		}

																		for bfs in [self.fwd_bfs, self.bwd_bfs]:
																									for node in successors[bfs]:
																																bfs.node_queue.append(UpperCamelCase__)

											if not self.reached:
																		return [self.fwd_bfs.start.pos]
											return None



				def 					__magic_name__							(      self    :    Union[str, Any]			,		UpperCamelCase__    :    Node			,		UpperCamelCase__    :    Node):






											'''simple docstring'''







											snake_case__	  =       self.fwd_bfs.retrace_path(UpperCamelCase__)
											snake_case__	  =       self.bwd_bfs.retrace_path(UpperCamelCase__)
											bwd_path.pop()
											bwd_path.reverse()
											snake_case__	  =       fwd_path + bwd_path
											return path


if __name__ == "__main__":
	# all coordinates are given in format [y,x]
	import doctest

	doctest.testmod()
	a__       =     (0, 0)
	a__       =     (len(grid) - 1, len(grid[0]) - 1)
	for elem in grid:
		print(elem)

	a__       =     time.time()
	a__       =     BreadthFirstSearch(init, goal)
	a__       =     bfs.search()
	a__       =     time.time() - start_bfs_time

	print("""Unidirectional BFS computation time : """, bfs_time)

	a__       =     time.time()
	a__       =     BidirectionalBreadthFirstSearch(init, goal)
	a__       =     bd_bfs.search()
	a__       =     time.time() - start_bd_bfs_time

	print("""Bidirectional BFS computation time : """, bd_bfs_time)
