"""simple docstring"""






import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase__  :  Tuple						     =	get_tests_dir('fixtures/test_sentencepiece.model')


if is_torch_available():
						from transformers.models.mbart.modeling_mbart import shift_tokens_right

lowerCAmelCase__  :  int						     =	250_004
lowerCAmelCase__  :  Optional[int]						     =	250_020
@require_sentencepiece
@require_tokenizers
class 				snake_case       ( __UpperCAmelCase      ,    unittest.TestCase				):




					"""simple docstring"""

					snake_case__				    = MBartTokenizer
					snake_case__				    = MBartTokenizerFast
					snake_case__				    = True
					snake_case__				    = True







					def 		__lowerCAmelCase						(				self   :	str			):
									super().setUp()

									# We have a SentencePiece fixture for testing
									UpperCAmelCase__             =							MBartTokenizer(lowerCamelCase__    ,keep_accents=lowerCamelCase__			)
									tokenizer.save_pretrained(self.tmpdirname			)







					def 		__lowerCAmelCase						(				self   :	List[str]			):
									UpperCAmelCase__             =							MBartTokenizer(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__			)    ,[value + tokenizer.fairseq_offset for value in [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__    ,[
									        value + tokenizer.fairseq_offset
									        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
									        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
									    ]    ,)

									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>',
									        '.',
									    ]    ,)







					def 		__lowerCAmelCase						(				self   :	int			):
									if not self.test_slow_tokenizer:
													# as we don't have a slow version, we can't compare the outputs between slow and fast versions
													return

									UpperCAmelCase__             =							(self.rust_tokenizer_class, 'hf-internal-testing/tiny-random-mbart', {})
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''			):
																	UpperCAmelCase__             =							self.rust_tokenizer_class.from_pretrained(lowerCamelCase__    ,**lowerCamelCase__			)
																	UpperCAmelCase__             =							self.tokenizer_class.from_pretrained(lowerCamelCase__    ,**lowerCamelCase__			)

																	UpperCAmelCase__             =							tempfile.mkdtemp()

																	UpperCAmelCase__             =							tokenizer_r.save_pretrained(lowerCamelCase__			)
																	UpperCAmelCase__             =							tokenizer_p.save_pretrained(lowerCamelCase__			)

																	# Checks it save with the same files + the tokenizer.json file for the fast one
																	self.assertTrue(any('tokenizer.json' in f for f in tokenizer_r_files			)			)
																	UpperCAmelCase__             =							tuple(f for f in tokenizer_r_files if 'tokenizer.json' not in f			)
																	self.assertSequenceEqual(lowerCamelCase__    ,lowerCamelCase__			)

																	# Checks everything loads correctly in the same way
																	UpperCAmelCase__             =							tokenizer_r.from_pretrained(lowerCamelCase__			)
																	UpperCAmelCase__             =							tokenizer_p.from_pretrained(lowerCamelCase__			)

																	# Check special tokens are set accordingly on Rust and Python
																	for key in tokenizer_pp.special_tokens_map:
																					self.assertTrue(hasattr(lowerCamelCase__    ,lowerCamelCase__			)			)
																					# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
																					# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

																	shutil.rmtree(lowerCamelCase__			)

																	# Save tokenizer rust, legacy_format=True
																	UpperCAmelCase__             =							tempfile.mkdtemp()

																	UpperCAmelCase__             =							tokenizer_r.save_pretrained(lowerCamelCase__    ,legacy_format=lowerCamelCase__			)
																	UpperCAmelCase__             =							tokenizer_p.save_pretrained(lowerCamelCase__			)

																	# Checks it save with the same files
																	self.assertSequenceEqual(lowerCamelCase__    ,lowerCamelCase__			)

																	# Checks everything loads correctly in the same way
																	UpperCAmelCase__             =							tokenizer_r.from_pretrained(lowerCamelCase__			)
																	UpperCAmelCase__             =							tokenizer_p.from_pretrained(lowerCamelCase__			)

																	# Check special tokens are set accordingly on Rust and Python
																	for key in tokenizer_pp.special_tokens_map:
																					self.assertTrue(hasattr(lowerCamelCase__    ,lowerCamelCase__			)			)

																	shutil.rmtree(lowerCamelCase__			)

																	# Save tokenizer rust, legacy_format=False
																	UpperCAmelCase__             =							tempfile.mkdtemp()

																	UpperCAmelCase__             =							tokenizer_r.save_pretrained(lowerCamelCase__    ,legacy_format=lowerCamelCase__			)
																	UpperCAmelCase__             =							tokenizer_p.save_pretrained(lowerCamelCase__			)

																	# Checks it saved the tokenizer.json file
																	self.assertTrue(any('tokenizer.json' in f for f in tokenizer_r_files			)			)

																	# Checks everything loads correctly in the same way
																	UpperCAmelCase__             =							tokenizer_r.from_pretrained(lowerCamelCase__			)
																	UpperCAmelCase__             =							tokenizer_p.from_pretrained(lowerCamelCase__			)

																	# Check special tokens are set accordingly on Rust and Python
																	for key in tokenizer_pp.special_tokens_map:
																					self.assertTrue(hasattr(lowerCamelCase__    ,lowerCamelCase__			)			)

																	shutil.rmtree(lowerCamelCase__			)






@require_torch
@require_sentencepiece
@require_tokenizers
class 				snake_case       ( unittest.TestCase				):




					"""simple docstring"""

					snake_case__				    = "facebook/mbart-large-en-ro"
					snake_case__				    = [
					    " UN Chief Says There Is No Military Solution in Syria",
					    " Secretary-General Ban Ki-moon says his response to Russia's stepped up military support for Syria is that \"there is no military solution\" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.",
					]
					snake_case__				    = [
					    "Şeful ONU declară că nu există o soluţie militară în Siria",
					    "Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei"
					    " pentru Siria este că \"nu există o soluţie militară\" la conflictul de aproape cinci ani şi că noi arme nu vor"
					    " face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.",
					]
					snake_case__				    = [82_74, 12_78_73, 2_59_16, 7, 86_22, 20_71, 4_38, 6_74_85, 53, 18_78_95, 23, 5_17_12, 2, EN_CODE]







					@classmethod
					def 		__lowerCAmelCase						(				cls   :	int			):
									UpperCAmelCase__             =							MBartTokenizer.from_pretrained(
									    cls.checkpoint_name    ,src_lang='en_XX'    ,tgt_lang='ro_RO'			)
									UpperCAmelCase__             =							1
									return cls







					def 		__lowerCAmelCase						(				self   :	int			):
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ar_AR']    ,250_001			)
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['en_EN']    ,250_004			)
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ro_RO']    ,250_020			)







					def 		__lowerCAmelCase						(				self   :	Optional[Any]			):
									UpperCAmelCase__             =							self.tokenizer.batch_encode_plus(self.src_text			).input_ids[0]
									self.assertListEqual(self.expected_src_tokens    ,lowerCamelCase__			)







					def 		__lowerCAmelCase						(				self   :	str			):
									self.assertIn(lowerCamelCase__    ,self.tokenizer.all_special_ids			)
									UpperCAmelCase__             =							[RO_CODE, 884, 9_019, 96, 9, 916, 86_792, 36, 18_743, 15_596, 5, 2]
									UpperCAmelCase__             =							self.tokenizer.decode(lowerCamelCase__    ,skip_special_tokens=lowerCamelCase__			)
									UpperCAmelCase__             =							self.tokenizer.decode(generated_ids[1:]    ,skip_special_tokens=lowerCamelCase__			)
									self.assertEqual(lowerCamelCase__    ,lowerCamelCase__			)
									self.assertNotIn(self.tokenizer.eos_token    ,lowerCamelCase__			)







					def 		__lowerCAmelCase						(				self   :	List[str]			):
									UpperCAmelCase__             =							['this is gunna be a long sentence ' * 20]
									assert isinstance(src_text[0]    ,lowerCamelCase__			)
									UpperCAmelCase__             =							10
									UpperCAmelCase__             =							self.tokenizer(lowerCamelCase__    ,max_length=lowerCamelCase__    ,truncation=lowerCamelCase__			).input_ids[0]
									self.assertEqual(ids[-2]    ,2			)
									self.assertEqual(ids[-1]    ,lowerCamelCase__			)
									self.assertEqual(len(lowerCamelCase__			)    ,lowerCamelCase__			)







					def 		__lowerCAmelCase						(				self   :	Union[str, Any]			):
									self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR']			)    ,[250_026, 250_001]			)







					def 		__lowerCAmelCase						(				self   :	str			):
									UpperCAmelCase__             =							tempfile.mkdtemp()
									UpperCAmelCase__             =							self.tokenizer.fairseq_tokens_to_ids
									self.tokenizer.save_pretrained(lowerCamelCase__			)
									UpperCAmelCase__             =							MBartTokenizer.from_pretrained(lowerCamelCase__			)
									self.assertDictEqual(new_tok.fairseq_tokens_to_ids    ,lowerCamelCase__			)







					@require_torch
					def 		__lowerCAmelCase						(				self   :	List[str]			):
									UpperCAmelCase__             =							self.tokenizer(self.src_text    ,text_target=self.tgt_text    ,padding=lowerCamelCase__    ,return_tensors='pt'			)
									UpperCAmelCase__             =							shift_tokens_right(batch['labels']    ,self.tokenizer.pad_token_id			)

									# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
									assert batch.input_ids[1][-2:].tolist() == [2, EN_CODE]
									assert batch.decoder_input_ids[1][0].tolist() == RO_CODE
									assert batch.decoder_input_ids[1][-1] == 2
									assert batch.labels[1][-2:].tolist() == [2, RO_CODE]







					@require_torch
					def 		__lowerCAmelCase						(				self   :	List[str]			):
									UpperCAmelCase__             =							self.tokenizer(
									    self.src_text    ,text_target=self.tgt_text    ,padding=lowerCamelCase__    ,truncation=lowerCamelCase__    ,max_length=len(self.expected_src_tokens			)    ,return_tensors='pt'    ,)

									UpperCAmelCase__             =							shift_tokens_right(batch['labels']    ,self.tokenizer.pad_token_id			)

									self.assertIsInstance(lowerCamelCase__    ,lowerCamelCase__			)

									self.assertEqual((2, 14)    ,batch.input_ids.shape			)
									self.assertEqual((2, 14)    ,batch.attention_mask.shape			)
									UpperCAmelCase__             =							batch.input_ids.tolist()[0]
									self.assertListEqual(self.expected_src_tokens    ,lowerCamelCase__			)
									self.assertEqual(2    ,batch.decoder_input_ids[0, -1]			)  # EOS
									# Test that special tokens are reset
									self.assertEqual(self.tokenizer.prefix_tokens    ,[]			)
									self.assertEqual(self.tokenizer.suffix_tokens    ,[self.tokenizer.eos_token_id, EN_CODE]			)







					def 		__lowerCAmelCase						(				self   :	Tuple			):
									UpperCAmelCase__             =							self.tokenizer(self.src_text    ,padding=lowerCamelCase__    ,truncation=lowerCamelCase__    ,max_length=3    ,return_tensors='pt'			)
									UpperCAmelCase__             =							self.tokenizer(
									    text_target=self.tgt_text    ,padding=lowerCamelCase__    ,truncation=lowerCamelCase__    ,max_length=10    ,return_tensors='pt'			)
									UpperCAmelCase__             =							targets['input_ids']
									UpperCAmelCase__             =							shift_tokens_right(lowerCamelCase__    ,self.tokenizer.pad_token_id			)

									self.assertEqual(batch.input_ids.shape[1]    ,3			)
									self.assertEqual(batch.decoder_input_ids.shape[1]    ,10			)







					@require_torch
					def 		__lowerCAmelCase						(				self   :	Tuple			):
									UpperCAmelCase__             =							self.tokenizer._build_translation_inputs(
									    'A test'    ,return_tensors='pt'    ,src_lang='en_XX'    ,tgt_lang='ar_AR'			)

									self.assertEqual(
									    nested_simplify(lowerCamelCase__			)    ,{
									        # A, test, EOS, en_XX
									        'input_ids': [[62, 3_034, 2, 250_004]],
									        'attention_mask': [[1, 1, 1, 1]],
									        # ar_AR
									        'forced_bos_token_id': 250_001,
									    }    ,)





from collections import deque





def 			lowerCamelCase_ (				lowerCamelCase__    ):
				lowerCamelCase_						=			len(lowerCamelCase__    )
				lowerCamelCase_						=			deque()
				lowerCamelCase_						=			[False for _ in range(lowerCamelCase__    )]
				lowerCamelCase_						=			[-1 for _ in range(lowerCamelCase__    )]
				lowerCamelCase_						=			index_of[:]

				def strong_connect(lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    ):
								lowerCamelCase_						=			index  # the number when this node is seen
								lowerCamelCase_						=			index  # lowest rank node reachable from here
								index += 1
								stack.append(lowerCamelCase__    )
								lowerCamelCase_						=			True

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

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

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

				return components





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__    ):
				lowerCamelCase_						=			[[] for _ in range(lowerCamelCase__    )]
				for u, v in edges:
								g[u].append(lowerCamelCase__    )
				return g


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

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


