






import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class    _lowerCAmelCase			(		lowercase__     ,      unittest.TestCase      ):



    """simple docstring"""



    _lowercase				:   Dict      =  None
    _lowercase				:   int      =  BloomTokenizerFast
    _lowercase				:   Any      =  BloomTokenizerFast
    _lowercase				:   Dict      =  True
    _lowercase				:   Union[str, Any]      =  False
    _lowercase				:   Optional[Any]      =  '''tokenizer_file'''
    _lowercase				:   Any      =  {'''bos_token''': '''<s>''', '''eos_token''': '''</s>''', '''unk_token''': '''<unk>''', '''pad_token''': '''<pad>'''}



    def 					__magic_name__							(      self    :    Tuple):






           '''simple docstring'''







           super().setUp()
           snake_case__	  =       BloomTokenizerFast.from_pretrained("""bigscience/tokenizer""")
           tokenizer.save_pretrained(self.tmpdirname)



    def 					__magic_name__							(      self    :    str			,		**UpperCamelCase__    :    Dict):






           '''simple docstring'''







           kwargs.update(self.special_tokens_map)
           return BloomTokenizerFast.from_pretrained(self.tmpdirname			,		**UpperCamelCase__)



    def 					__magic_name__							(      self    :    int):






           '''simple docstring'''







           snake_case__	  =       self.get_rust_tokenizer()

           snake_case__	  =       ["The quick brown fox</s>", "jumps over the lazy dog</s>"]
           snake_case__	  =       [[2_1_7_5, 2_3_7_1_4, 7_3_1_7_3, 1_4_4_2_5_2, 2], [7_7, 1_3_2_6_1_9, 3_4_7_8, 3_6_8, 1_0_9_5_8_6, 3_5_4_3_3, 2]]

           snake_case__	  =       tokenizer.batch_encode_plus(UpperCamelCase__)["input_ids"]
           self.assertListEqual(UpperCamelCase__			,		UpperCamelCase__)

           snake_case__	  =       tokenizer.batch_decode(UpperCamelCase__)
           self.assertListEqual(UpperCamelCase__			,		UpperCamelCase__)



    def 					__magic_name__							(      self    :    Dict			,		UpperCamelCase__    :    List[str]=6):






           '''simple docstring'''







           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''):
                         snake_case__	  =       self.rust_tokenizer_class.from_pretrained(UpperCamelCase__			,		**UpperCamelCase__)
                         # tokenizer_r.pad_token = None # Hotfixing padding = None
                         # Simple input
                         snake_case__	  =       "This is a simple input"
                         snake_case__	  =       ["This is a simple input 1", "This is a simple input 2"]
                         snake_case__	  =       ("This is a simple input", "This is a pair")
                         snake_case__	  =       [
                             ("This is a simple input 1", "This is a simple input 2"),
                             ("This is a simple pair 1", "This is a simple pair 2"),
                         ]

                         # Simple input tests
                         try:
                                tokenizer_r.encode(UpperCamelCase__			,		max_length=UpperCamelCase__)
                                tokenizer_r.encode_plus(UpperCamelCase__			,		max_length=UpperCamelCase__)

                                tokenizer_r.batch_encode_plus(UpperCamelCase__			,		max_length=UpperCamelCase__)
                                tokenizer_r.encode(UpperCamelCase__			,		max_length=UpperCamelCase__)
                                tokenizer_r.batch_encode_plus(UpperCamelCase__			,		max_length=UpperCamelCase__)
                         except ValueError:
                                self.fail("""Bloom Tokenizer should be able to deal with padding""")

                         snake_case__	  =       None  # Hotfixing padding = None
                         self.assertRaises(UpperCamelCase__			,		tokenizer_r.encode			,		UpperCamelCase__			,		max_length=UpperCamelCase__			,		padding="""max_length""")

                         # Simple input
                         self.assertRaises(UpperCamelCase__			,		tokenizer_r.encode_plus			,		UpperCamelCase__			,		max_length=UpperCamelCase__			,		padding="""max_length""")

                         # Simple input
                         self.assertRaises(
                             UpperCamelCase__			,		tokenizer_r.batch_encode_plus			,		UpperCamelCase__			,		max_length=UpperCamelCase__			,		padding="""max_length"""			,		)

                         # Pair input
                         self.assertRaises(UpperCamelCase__			,		tokenizer_r.encode			,		UpperCamelCase__			,		max_length=UpperCamelCase__			,		padding="""max_length""")

                         # Pair input
                         self.assertRaises(UpperCamelCase__			,		tokenizer_r.encode_plus			,		UpperCamelCase__			,		max_length=UpperCamelCase__			,		padding="""max_length""")

                         # Pair input
                         self.assertRaises(
                             UpperCamelCase__			,		tokenizer_r.batch_encode_plus			,		UpperCamelCase__			,		max_length=UpperCamelCase__			,		padding="""max_length"""			,		)



    def 					__magic_name__							(      self    :    Any):






           '''simple docstring'''







           snake_case__	  =       self.get_rust_tokenizer()
           snake_case__	  =       load_dataset("""xnli"""			,		"""all_languages"""			,		split="""test"""			,		streaming=UpperCamelCase__)

           snake_case__	  =       next(iter(UpperCamelCase__))["premise"]  # pick up one data
           snake_case__	  =       list(sample_data.values())

           snake_case__	  =       list(map(tokenizer.encode			,		UpperCamelCase__))
           snake_case__	  =       [tokenizer.decode(UpperCamelCase__			,		clean_up_tokenization_spaces=UpperCamelCase__) for x in output_tokens]
           self.assertListEqual(UpperCamelCase__			,		UpperCamelCase__)



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






           '''simple docstring'''







           self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map)			,		1)
           self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values())[0])			,		1)








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)
