

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


a_     =			'▁'

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






@require_sentencepiece
@require_tokenizers
class _UpperCamelCase							(							__A							,		unittest.TestCase      ):
			'''simple docstring'''







			lowerCamelCase__							=BigBirdTokenizer
			lowerCamelCase__							=BigBirdTokenizerFast
			lowerCamelCase__							=True
			lowerCamelCase__							=True
			def 							__UpperCamelCase       (	self							:       Dict		)							->				Optional[int]:

				"""simple docstring"""

				super().setUp()

				SCREAMING_SNAKE_CASE      :					Optional[int]    =				self.tokenizer_class(a					,					keep_accents=a		)
				tokenizer.save_pretrained(self.tmpdirname		)
			def 							__UpperCamelCase       (	self							:       int		)							->				Tuple:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE      :					Tuple    =				"<s>"
				SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				1

				self.assertEqual(self.get_tokenizer()._convert_token_to_id(a		)					,					a		)
				self.assertEqual(self.get_tokenizer()._convert_id_to_token(a		)					,					a		)
			def 							__UpperCamelCase       (	self							:       str		)							->				List[str]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE      :					List[Any]    =				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(a		)					,					1004		)
			def 							__UpperCamelCase       (	self							:       List[Any]		)							->				int:

				"""simple docstring"""

				self.assertEqual(self.get_tokenizer().vocab_size					,					1000		)
			def 							__UpperCamelCase       (	self							:       Union[str, Any]		)							->				Optional[int]:

				"""simple docstring"""

				if not self.test_rust_tokenizer:
					return

				SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				self.get_tokenizer()
				SCREAMING_SNAKE_CASE      :					int    =				self.get_rust_tokenizer()

				SCREAMING_SNAKE_CASE      :					Tuple    =				"I was born in 92000, and this is falsé."

				SCREAMING_SNAKE_CASE      :					Dict    =				tokenizer.tokenize(a		)
				SCREAMING_SNAKE_CASE      :					Any    =				rust_tokenizer.tokenize(a		)
				self.assertListEqual(a					,					a		)

				SCREAMING_SNAKE_CASE      :					Dict    =				tokenizer.encode(a					,					add_special_tokens=a		)
				SCREAMING_SNAKE_CASE      :					str    =				rust_tokenizer.encode(a					,					add_special_tokens=a		)
				self.assertListEqual(a					,					a		)

				SCREAMING_SNAKE_CASE      :					str    =				self.get_rust_tokenizer()
				SCREAMING_SNAKE_CASE      :					Dict    =				tokenizer.encode(a		)
				SCREAMING_SNAKE_CASE      :					List[str]    =				rust_tokenizer.encode(a		)
				self.assertListEqual(a					,					a		)
			def 							__UpperCamelCase       (	self							:       List[str]		)							->				List[str]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE      :					Optional[Any]    =				BigBirdTokenizer(a					,					keep_accents=a		)

				SCREAMING_SNAKE_CASE      :					int    =				tokenizer.tokenize("This is a test"		)
				self.assertListEqual(a					,					["▁This", "▁is", "▁a", "▁t", "est"]		)

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

				SCREAMING_SNAKE_CASE      :					List[Any]    =				tokenizer.tokenize("I was born in 92000, and this is falsé."		)
				self.assertListEqual(
				    a					,					[
				        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",
				        ".",
				    ]					,					)
				SCREAMING_SNAKE_CASE      :					Tuple    =				tokenizer.convert_tokens_to_ids(a		)
				self.assertListEqual(
				    a					,					[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]					,					)

				SCREAMING_SNAKE_CASE      :					Any    =				tokenizer.convert_ids_to_tokens(a		)
				self.assertListEqual(
				    a					,					[
				        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							:       Optional[Any]		)							->				Optional[Any]:

				"""simple docstring"""

				return BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"		)
			@slow
			def 							__UpperCamelCase       (	self							:       int		)							->				List[str]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE      :					str    =				"Hello World!"
				SCREAMING_SNAKE_CASE      :					int    =				[65, 1_8536, 2260, 101, 66]

				self.assertListEqual(a					,					self.big_tokenizer.encode(a		)		)
			@slow
			def 							__UpperCamelCase       (	self							:       Dict		)							->				int:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE      :					List[Any]    =				(
				    "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
				SCREAMING_SNAKE_CASE      :					Optional[int]    =				[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, 3_4324, 497, 391, 408, 1_1342, 1244, 385, 100, 938, 985, 456, 574, 362, 1_2597, 3200, 3129, 1172, 66]  # noqa: E231
				# fmt: on
				self.assertListEqual(a					,					self.big_tokenizer.encode(a		)		)
			@require_torch
			@slow
			def 							__UpperCamelCase       (	self							:       List[str]		)							->				Tuple:

				"""simple docstring"""

				import torch

				from transformers import BigBirdConfig, BigBirdModel

				# Build sequence
				SCREAMING_SNAKE_CASE      :					List[str]    =				list(self.big_tokenizer.get_vocab().keys()		)[:10]
				SCREAMING_SNAKE_CASE      :					List[Any]    =				" ".join(a		)
				SCREAMING_SNAKE_CASE      :					Dict    =				self.big_tokenizer.encode_plus(a					,					return_tensors="pt"					,					return_token_type_ids=a		)
				SCREAMING_SNAKE_CASE      :					int    =				self.big_tokenizer.batch_encode_plus(
				    [sequence + " " + sequence]					,					return_tensors="pt"					,					return_token_type_ids=a		)

				SCREAMING_SNAKE_CASE      :					List[str]    =				BigBirdConfig(attention_type="original_full"		)
				SCREAMING_SNAKE_CASE      :					Dict    =				BigBirdModel(a		)

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

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

				"""simple docstring"""

				SCREAMING_SNAKE_CASE      :					str    =				BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"		)
				SCREAMING_SNAKE_CASE      :					int    =				tokenizer.decode(tokenizer("Paris is the [MASK]."		).input_ids		)

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






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

				"""simple docstring"""

				SCREAMING_SNAKE_CASE      :					Optional[int]    =				{"input_ids": [[65, 3_9286, 458, 3_6335, 2001, 456, 1_3073, 1_3266, 455, 113, 7746, 1741, 1_1157, 391, 1_3073, 1_3266, 455, 113, 3967, 3_5412, 113, 4936, 109, 3870, 2377, 113, 3_0084, 4_5720, 458, 134, 1_7496, 112, 503, 1_1672, 113, 118, 112, 5665, 1_3347, 3_8687, 112, 1496, 3_1389, 112, 3268, 4_7264, 134, 962, 112, 1_6377, 8035, 2_3130, 430, 1_2169, 1_5518, 2_8592, 458, 146, 4_1697, 109, 391, 1_2169, 1_5518, 1_6689, 458, 146, 4_1358, 109, 452, 726, 4034, 111, 763, 3_5412, 5082, 388, 1903, 111, 9051, 391, 2870, 4_8918, 1900, 1123, 550, 998, 112, 9586, 1_5985, 455, 391, 410, 2_2955, 3_7636, 114, 66], [65, 448, 1_7496, 419, 3663, 385, 763, 113, 2_7533, 2870, 3283, 1_3043, 1639, 2_4713, 523, 656, 2_4013, 1_8550, 2521, 517, 2_7014, 2_1244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 1_1786, 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, 2_1932, 1_8146, 726, 363, 1_7032, 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=a					,					model_name="google/bigbird-roberta-base"					,					revision="215c99f1600e06f83acce68422f2035b2b5c3510"					,					)

"""simple docstring"""





class     _UpperCAmelCase:



		def __init__(					self)       ->       Optional[Any]:






							'''simple docstring'''
							_UpperCamelCase							 =  {}



		def 						UpperCAmelCase							(					self)       ->       None:






							'''simple docstring'''
							print(self.vertex)
							for i in self.vertex:
												print(__a				,		''' -> '''				,		''' -> '''.join([str(__a) for j in self.vertex[i]]))



		def 						UpperCAmelCase							(					self				,		__a				,		__a)       ->       None:






							'''simple docstring'''
							# check if vertex is already present,
							if from_vertex in self.vertex:
												self.vertex[from_vertex].append(__a)
							else:
												# else make a new vertex
												_UpperCamelCase							 =  [to_vertex]



		def 						UpperCAmelCase							(					self)       ->       None:






							'''simple docstring'''
							# visited array for storing already visited nodes
							_UpperCamelCase							 =  [False] * len(self.vertex)

							# call the recursive helper function
							for i in range(len(self.vertex)):
												if not visited[i]:
																	self.dfs_recursive(__a				,		__a)




		def 						UpperCAmelCase							(					self				,		__a				,		__a)       ->       None:






							'''simple docstring'''
							# mark start vertex as visited
							_UpperCamelCase							 =  True

							print(__a				,		end=''' ''')

							# Recur for all the vertices that are adjacent to this node
							for i in self.vertex:
												if not visited[i]:
																	self.dfs_recursive(__a				,		__a)


if __name__ == "__main__":
				_a														=		Graph()
				g.add_edge(0, 1)
				g.add_edge(0, 2)
				g.add_edge(1, 2)
				g.add_edge(2, 0)
				g.add_edge(2, 3)
				g.add_edge(3, 3)

				g.print_graph()
				print("""DFS:""")
				g.dfs()

				# OUTPUT:
				# 0  ->  1 -> 2
				# 1  ->  2
				# 2  ->  0 -> 3
				# 3  ->  3
				# DFS:
				#  0 1 2 3






