


import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase__  :Optional[int]   			=							'▁'

lowerCAmelCase__  :List[Any]   			=							get_tests_dir('''fixtures/test_sentencepiece.model''')

@require_sentencepiece
@require_tokenizers
class 		__a      (				__SCREAMING_SNAKE_CASE    ,      unittest.TestCase			):
		_a	:  Optional[int]				=	BigBirdTokenizer
		_a	:  str				=	BigBirdTokenizerFast
		_a	:  Dict				=	True
		_a	:  Optional[Any]				=	True
		def 	UpperCAmelCase__				(			self						) ->       List[str]:




									"""simple docstring"""





									super().setUp()

									_UpperCAmelCase 		=			self.tokenizer_class(_SCREAMING_SNAKE_CASE			,    keep_accents=_SCREAMING_SNAKE_CASE						)
									tokenizer.save_pretrained(self.tmpdirname						)
		def 	UpperCAmelCase__				(			self						) ->       str:




									"""simple docstring"""





									_UpperCAmelCase 		=			'<s>'
									_UpperCAmelCase 		=			1

									self.assertEqual(self.get_tokenizer()._convert_token_to_id(_SCREAMING_SNAKE_CASE						)			,    _SCREAMING_SNAKE_CASE						)
									self.assertEqual(self.get_tokenizer()._convert_id_to_token(_SCREAMING_SNAKE_CASE						)			,    _SCREAMING_SNAKE_CASE						)
		def 	UpperCAmelCase__				(			self						) ->       Dict:




									"""simple docstring"""





									_UpperCAmelCase 		=			list(self.get_tokenizer().get_vocab().keys()						)

									self.assertEqual(vocab_keys[0]			,    '<unk>'						)
									self.assertEqual(vocab_keys[1]			,    '<s>'						)
									self.assertEqual(vocab_keys[-1]			,    '[MASK]'						)
									self.assertEqual(len(_SCREAMING_SNAKE_CASE						)			,    1004						)
		def 	UpperCAmelCase__				(			self						) ->       Optional[int]:




									"""simple docstring"""





									self.assertEqual(self.get_tokenizer().vocab_size			,    1000						)
		def 	UpperCAmelCase__				(			self						) ->       Any:




									"""simple docstring"""





									if not self.test_rust_tokenizer:
																return

									_UpperCAmelCase 		=			self.get_tokenizer()
									_UpperCAmelCase 		=			self.get_rust_tokenizer()

									_UpperCAmelCase 		=			'I was born in 92000, and this is falsé.'

									_UpperCAmelCase 		=			tokenizer.tokenize(_SCREAMING_SNAKE_CASE						)
									_UpperCAmelCase 		=			rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE						)
									self.assertListEqual(_SCREAMING_SNAKE_CASE			,    _SCREAMING_SNAKE_CASE						)

									_UpperCAmelCase 		=			tokenizer.encode(_SCREAMING_SNAKE_CASE			,    add_special_tokens=_SCREAMING_SNAKE_CASE						)
									_UpperCAmelCase 		=			rust_tokenizer.encode(_SCREAMING_SNAKE_CASE			,    add_special_tokens=_SCREAMING_SNAKE_CASE						)
									self.assertListEqual(_SCREAMING_SNAKE_CASE			,    _SCREAMING_SNAKE_CASE						)

									_UpperCAmelCase 		=			self.get_rust_tokenizer()
									_UpperCAmelCase 		=			tokenizer.encode(_SCREAMING_SNAKE_CASE						)
									_UpperCAmelCase 		=			rust_tokenizer.encode(_SCREAMING_SNAKE_CASE						)
									self.assertListEqual(_SCREAMING_SNAKE_CASE			,    _SCREAMING_SNAKE_CASE						)
		def 	UpperCAmelCase__				(			self						) ->       Optional[int]:




									"""simple docstring"""





									_UpperCAmelCase 		=			BigBirdTokenizer(_SCREAMING_SNAKE_CASE			,    keep_accents=_SCREAMING_SNAKE_CASE						)

									_UpperCAmelCase 		=			tokenizer.tokenize('This is a test'						)
									self.assertListEqual(_SCREAMING_SNAKE_CASE			,    ['▁This', '▁is', '▁a', '▁t', 'est']						)

									self.assertListEqual(
									    tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE						)			,    [285, 46, 10, 170, 382]			,    )

									_UpperCAmelCase 		=			tokenizer.tokenize('I was born in 92000, and this is falsé.'						)
									self.assertListEqual(
									    _SCREAMING_SNAKE_CASE			,    [
									        SPIECE_UNDERLINE + 'I',
									        SPIECE_UNDERLINE + 'was',
									        SPIECE_UNDERLINE + 'b',
									        'or',
									        'n',
									        SPIECE_UNDERLINE + 'in',
									        SPIECE_UNDERLINE + '',
									        '9',
									        '2',
									        '0',
									        '0',
									        '0',
									        ',',
									        SPIECE_UNDERLINE + 'and',
									        SPIECE_UNDERLINE + 'this',
									        SPIECE_UNDERLINE + 'is',
									        SPIECE_UNDERLINE + 'f',
									        'al',
									        's',
									        'é',
									        '.',
									    ]			,    )
									_UpperCAmelCase 		=			tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE						)
									self.assertListEqual(
									    _SCREAMING_SNAKE_CASE			,    [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]			,    )

									_UpperCAmelCase 		=			tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE						)
									self.assertListEqual(
									    _SCREAMING_SNAKE_CASE			,    [
									        SPIECE_UNDERLINE + 'I',
									        SPIECE_UNDERLINE + 'was',
									        SPIECE_UNDERLINE + 'b',
									        'or',
									        'n',
									        SPIECE_UNDERLINE + 'in',
									        SPIECE_UNDERLINE + '',
									        '<unk>',
									        '2',
									        '0',
									        '0',
									        '0',
									        ',',
									        SPIECE_UNDERLINE + 'and',
									        SPIECE_UNDERLINE + 'this',
									        SPIECE_UNDERLINE + 'is',
									        SPIECE_UNDERLINE + 'f',
									        'al',
									        's',
									        '<unk>',
									        '.',
									    ]			,    )
		@cached_property
		def 	UpperCAmelCase__				(			self						) ->       List[Any]:




									"""simple docstring"""





									return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'						)
		@slow
		def 	UpperCAmelCase__				(			self						) ->       Any:




									"""simple docstring"""





									_UpperCAmelCase 		=			'Hello World!'
									_UpperCAmelCase 		=			[65, 18536, 2260, 101, 66]

									self.assertListEqual(_SCREAMING_SNAKE_CASE			,    self.big_tokenizer.encode(_SCREAMING_SNAKE_CASE						)						)
		@slow
		def 	UpperCAmelCase__				(			self						) ->       List[Any]:




									"""simple docstring"""





									_UpperCAmelCase 		=			(
									    'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will'
									    ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
									)
									# fmt: off
									_UpperCAmelCase 		=			[65, 871, 419, 358, 946, 991, 2521, 452, 358, 1357, 387, 7751, 3536, 112, 985, 456, 126, 865, 938, 5400, 5734, 458, 1368, 467, 786, 2462, 5246, 1159, 633, 865, 4519, 457, 582, 852, 2557, 427, 916, 508, 405, 34324, 497, 391, 408, 11342, 1244, 385, 100, 938, 985, 456, 574, 362, 12597, 3200, 3129, 1172, 66]  # noqa: E231
									# fmt: on
									self.assertListEqual(_SCREAMING_SNAKE_CASE			,    self.big_tokenizer.encode(_SCREAMING_SNAKE_CASE						)						)
		@require_torch
		@slow
		def 	UpperCAmelCase__				(			self						) ->       Dict:




									"""simple docstring"""





									import torch

									from transformers import BigBirdConfig, BigBirdModel

									# Build sequence
									_UpperCAmelCase 		=			list(self.big_tokenizer.get_vocab().keys()						)[:10]
									_UpperCAmelCase 		=			' '.join(_SCREAMING_SNAKE_CASE						)
									_UpperCAmelCase 		=			self.big_tokenizer.encode_plus(_SCREAMING_SNAKE_CASE			,    return_tensors='pt'			,    return_token_type_ids=_SCREAMING_SNAKE_CASE						)
									_UpperCAmelCase 		=			self.big_tokenizer.batch_encode_plus(
									    [sequence + ' ' + sequence]			,    return_tensors='pt'			,    return_token_type_ids=_SCREAMING_SNAKE_CASE						)

									_UpperCAmelCase 		=			BigBirdConfig(attention_type='original_full'						)
									_UpperCAmelCase 		=			BigBirdModel(_SCREAMING_SNAKE_CASE						)

									assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

									with torch.no_grad():
																model(**_SCREAMING_SNAKE_CASE						)
																model(**_SCREAMING_SNAKE_CASE						)
		@slow
		def 	UpperCAmelCase__				(			self						) ->       Optional[int]:




									"""simple docstring"""





									_UpperCAmelCase 		=			BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'						)
									_UpperCAmelCase 		=			tokenizer.decode(tokenizer('Paris is the [MASK].'						).input_ids						)

									self.assertTrue(decoded_text == '[CLS] Paris is the[MASK].[SEP]'						)






		@slow
		def 	UpperCAmelCase__				(			self						) ->       Dict:




									"""simple docstring"""





									_UpperCAmelCase 		=			{'input_ids': [[65, 39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114, 66], [65, 448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
									# fmt: on

									self.tokenizer_integration_test_util(
									    expected_encoding=_SCREAMING_SNAKE_CASE			,    model_name='google/bigbird-roberta-base'			,    revision='215c99f1600e06f83acce68422f2035b2b5c3510'			,    )


def 						UpperCAmelCase			(	a_						)		->	Optional[int]:







				"""simple docstring"""



				__A   			= [0] * len(a_						)
				__A   			= []
				__A   			= [1] * len(a_						)

				for values in graph.values():
								for i in values:
												indegree[i] += 1

				for i in range(len(a_						)						):
								if indegree[i] == 0:
												queue.append(a_						)

				while queue:
								__A   			= queue.pop(0						)
								for x in graph[vertex]:
												indegree[x] -= 1

												if long_dist[vertex] + 1 > long_dist[x]:
																__A   			= long_dist[vertex] + 1

												if indegree[x] == 0:
																queue.append(a_						)

				print(max(a_						)						)


# Adjacency list of Graph
SCREAMING_SNAKE_CASE							:List[Any]							 =				{0: [2, 3, 4], 1: [2, 7], 2: [5], 3: [5, 7], 4: [7], 5: [6], 6: [7], 7: []}
longest_distance(graph)
