


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


__UpperCamelCase    		=       '''▁'''

__UpperCamelCase    		=       get_tests_dir('fixtures/test_sentencepiece.model')







@require_sentencepiece
@require_tokenizers
class        lowerCamelCase__	(							UpperCAmelCase__					,	unittest.TestCase      ):






			"""simple docstring"""






			_UpperCamelCase		:					Optional[int]    =		BigBirdTokenizer
			_UpperCamelCase		:					List[Any]    =		BigBirdTokenizerFast
			_UpperCamelCase		:					str    =		True
			_UpperCamelCase		:					Dict    =		True




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						super().setUp()

						UpperCamelCase__					=       self.tokenizer_class(__lowerCAmelCase      ,						keep_accents=__lowerCAmelCase     )
						tokenizer.save_pretrained(self.tmpdirname     )




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       "<s>"
						UpperCamelCase__					=       1

						self.assertEqual(self.get_tokenizer()._convert_token_to_id(__lowerCAmelCase     )      ,						__lowerCAmelCase     )
						self.assertEqual(self.get_tokenizer()._convert_id_to_token(__lowerCAmelCase     )      ,						__lowerCAmelCase     )




			def 				snake_case__				(							self     ):

						'''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(__lowerCAmelCase     )      ,						1004     )




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						self.assertEqual(self.get_tokenizer().vocab_size      ,						1000     )




			def 				snake_case__				(							self     ):

						'''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(__lowerCAmelCase     )
						UpperCamelCase__					=       rust_tokenizer.tokenize(__lowerCAmelCase     )
						self.assertListEqual(__lowerCAmelCase      ,						__lowerCAmelCase     )

						UpperCamelCase__					=       tokenizer.encode(__lowerCAmelCase      ,						add_special_tokens=__lowerCAmelCase     )
						UpperCamelCase__					=       rust_tokenizer.encode(__lowerCAmelCase      ,						add_special_tokens=__lowerCAmelCase     )
						self.assertListEqual(__lowerCAmelCase      ,						__lowerCAmelCase     )

						UpperCamelCase__					=       self.get_rust_tokenizer()
						UpperCamelCase__					=       tokenizer.encode(__lowerCAmelCase     )
						UpperCamelCase__					=       rust_tokenizer.encode(__lowerCAmelCase     )
						self.assertListEqual(__lowerCAmelCase      ,						__lowerCAmelCase     )




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       BigBirdTokenizer(__lowerCAmelCase      ,						keep_accents=__lowerCAmelCase     )

						UpperCamelCase__					=       tokenizer.tokenize("This is a test"     )
						self.assertListEqual(__lowerCAmelCase      ,						["▁This", "▁is", "▁a", "▁t", "est"]     )

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

						UpperCamelCase__					=       tokenizer.tokenize("I was born in 92000, and this is falsé."     )
						self.assertListEqual(
						    __lowerCAmelCase      ,						[
						        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(__lowerCAmelCase     )
						self.assertListEqual(
						    __lowerCAmelCase      ,						[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(__lowerCAmelCase     )
						self.assertListEqual(
						    __lowerCAmelCase      ,						[
						        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 				snake_case__				(							self     ):

						'''simple docstring'''


						return BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"     )




			@slow
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       "Hello World!"
						UpperCamelCase__					=       [65, 18536, 2260, 101, 66]

						self.assertListEqual(__lowerCAmelCase      ,						self.big_tokenizer.encode(__lowerCAmelCase     )     )




			@slow
			def 				snake_case__				(							self     ):

						'''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(__lowerCAmelCase      ,						self.big_tokenizer.encode(__lowerCAmelCase     )     )




			@require_torch
			@slow
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						import torch

						from transformers import BigBirdConfig, BigBirdModel

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

						UpperCamelCase__					=       BigBirdConfig(attention_type="original_full"     )
						UpperCamelCase__					=       BigBirdModel(__lowerCAmelCase     )

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

						with torch.no_grad():
									model(**__lowerCAmelCase     )
									model(**__lowerCAmelCase     )




			@slow
			def 				snake_case__				(							self     ):

						'''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 				snake_case__				(							self     ):

						'''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=__lowerCAmelCase      ,						model_name="google/bigbird-roberta-base"      ,						revision="215c99f1600e06f83acce68422f2035b2b5c3510"      ,						)






from collections import deque
def        UpperCamelCase_(				_A   :Union[str, Any]  )->		List[Any]:
			UpperCamelCase__					=       len(_A  )
			UpperCamelCase__					=       deque()
			UpperCamelCase__					=       [False for _ in range(_A  )]
			UpperCamelCase__					=       [-1 for _ in range(_A  )]
			UpperCamelCase__					=       index_of[:]

			def strong_connect(_A   :Optional[int]				,     _A   :Optional[int]				,     _A   :List[Any]  ):
						UpperCamelCase__					=       index  # the number when this node is seen
						UpperCamelCase__					=       index  # lowest rank node reachable from here
						index += 1
						stack.append(_A  )
						UpperCamelCase__					=       True

						for w in g[v]:
									if index_of[w] == -1:
												UpperCamelCase__					=       strong_connect(_A				,     _A				,     _A  )
												UpperCamelCase__					=       (
												    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
												)
									elif on_stack[w]:
												UpperCamelCase__					=       (
												    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
												)

						if lowlink_of[v] == index_of[v]:
									UpperCamelCase__					=       []
									UpperCamelCase__					=       stack.pop()
									UpperCamelCase__					=       False
									component.append(_A  )
									while w != v:
												UpperCamelCase__					=       stack.pop()
												UpperCamelCase__					=       False
												component.append(_A  )
									components.append(_A  )
						return index

			UpperCamelCase__					=       []
			for v in range(_A  ):
						if index_of[v] == -1:
									strong_connect(_A				,     0				,     _A  )

			return components
def        UpperCamelCase_(				_A   :Optional[Any]				,     _A   :Any  )->		Union[str, Any]:
			UpperCamelCase__					=       [[] for _ in range(_A  )]
			for u, v in edges:
						g[u].append(_A  )
			return g


if __name__ == "__main__":
						# Test
						__UpperCamelCase    		=       7
						__UpperCamelCase    		=       [0, 0, 1, 2, 3, 3, 4, 4, 6]
						__UpperCamelCase    		=       [1, 3, 2, 0, 1, 4, 5, 6, 5]
						__UpperCamelCase    		=       [(u, v) for u, v in zip(source, target)]
						__UpperCamelCase    		=       create_graph(n_vertices, edges)

						assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)


