
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase_  :	Optional[Any] 				=					get_tests_dir("""fixtures/test_sentencepiece.model""")

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

lowerCamelCase_  :	Union[str, Any] 				=					25_00_04
lowerCamelCase_  :	Optional[int] 				=					25_00_20

@require_sentencepiece
@require_tokenizers
class     _UpperCamelCase			(   _A       ,    unittest.TestCase					):






			'''simple docstring'''

			__UpperCamelCase :  List[Any]    =	MBartaaTokenizer
			__UpperCamelCase :  Optional[Any]    =	MBartaaTokenizerFast
			__UpperCamelCase :  Dict    =	True
			__UpperCamelCase :  Any    =	True

			def  lowerCAmelCase__		(    self	:    Optional[Any] ):
							super().setUp()

							# We have a SentencePiece fixture for testing
							UpperCamelCase_:							str		=  MBartaaTokenizer(snake_case_  ,		src_lang="""en_XX"""  ,		tgt_lang="""ro_RO"""  ,		keep_accents=snake_case_ )
							tokenizer.save_pretrained(self.tmpdirname )

			def  lowerCAmelCase__		(    self	:    Dict ):
							UpperCamelCase_:							Union[str, Any]		=  """<s>"""
							UpperCamelCase_:							str		=  0

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

			def  lowerCAmelCase__		(    self	:    Any ):
							UpperCamelCase_:							Union[str, Any]		=  list(self.get_tokenizer().get_vocab().keys() )

							self.assertEqual(vocab_keys[0]  ,		"""<s>""" )
							self.assertEqual(vocab_keys[1]  ,		"""<pad>""" )
							self.assertEqual(vocab_keys[-1]  ,		"""<mask>""" )
							self.assertEqual(len(snake_case_ )  ,		1054 )

			def  lowerCAmelCase__		(    self	:    List[str] ):
							self.assertEqual(self.get_tokenizer().vocab_size  ,		1054 )

			def  lowerCAmelCase__		(    self	:    Optional[Any] ):
							UpperCamelCase_:							List[str]		=  MBartaaTokenizer(snake_case_  ,		src_lang="""en_XX"""  ,		tgt_lang="""ro_RO"""  ,		keep_accents=snake_case_ )

							UpperCamelCase_:							Optional[Any]		=  tokenizer.tokenize("""This is a test""" )
							self.assertListEqual(snake_case_  ,		["""▁This""", """▁is""", """▁a""", """▁t""", """est"""] )

							self.assertListEqual(
							    tokenizer.convert_tokens_to_ids(snake_case_ )  ,		[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]  ,		)

							UpperCamelCase_:							Dict		=  tokenizer.tokenize("""I was born in 92000, and this is falsé.""" )
							self.assertListEqual(
							    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_:							str		=  tokenizer.convert_tokens_to_ids(snake_case_ )
							self.assertListEqual(
							    snake_case_  ,		[
							        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]
							    ]  ,		)

							UpperCamelCase_:							str		=  tokenizer.convert_ids_to_tokens(snake_case_ )
							self.assertListEqual(
							    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>""", """."""]  ,		)

			@slow
			def  lowerCAmelCase__		(    self	:    Dict ):
							# fmt: off
							UpperCamelCase_:							Tuple		=  {"""input_ids""": [[25_0004, 1_1062, 8_2772, 7, 15, 8_2772, 538, 5_1529, 237, 1_7198, 1290, 206, 9, 21_5175, 1314, 136, 1_7198, 1290, 206, 9, 5_6359, 42, 12_2009, 9, 1_6466, 16, 8_7344, 4537, 9, 4717, 7_8381, 6, 15_9958, 7, 15, 2_4480, 618, 4, 527, 2_2693, 5428, 4, 2777, 2_4480, 9874, 4, 4_3523, 594, 4, 803, 1_8392, 3_3189, 18, 4, 4_3523, 2_4447, 1_2399, 100, 2_4955, 8_3658, 9626, 14_4057, 15, 839, 2_2335, 16, 136, 2_4955, 8_3658, 8_3479, 15, 3_9102, 724, 16, 678, 645, 2789, 1328, 4589, 42, 12_2009, 11_5774, 23, 805, 1328, 4_6876, 7, 136, 5_3894, 1940, 4_2227, 4_1159, 1_7721, 823, 425, 4, 2_7512, 9_8722, 206, 136, 5531, 4970, 919, 1_7336, 5, 2], [25_0004, 2_0080, 618, 83, 8_2775, 47, 479, 9, 1517, 73, 5_3894, 333, 8_0581, 11_0117, 1_8811, 5256, 1295, 51, 15_2526, 297, 7986, 390, 12_4416, 538, 3_5431, 214, 98, 1_5044, 2_5737, 136, 7108, 4_3701, 23, 756, 13_5355, 7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [25_0004, 581, 6_3773, 11_9455, 6, 14_7797, 8_8203, 7, 645, 70, 21, 3285, 1_0269, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], """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, 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, 0, 0, 0, 0, 0], [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, 0, 0, 0, 0, 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=snake_case_  ,		model_name="""facebook/mbart-large-50"""  ,		revision="""d3913889c59cd5c9e456b269c376325eabad57e2"""  ,		)




			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_:							Optional[int]		=  (self.rust_tokenizer_class, """hf-internal-testing/tiny-random-mbart50""", {})
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
															UpperCamelCase_:							List[str]		=  self.rust_tokenizer_class.from_pretrained(snake_case_  ,		**snake_case_ )
															UpperCamelCase_:							Optional[Any]		=  self.tokenizer_class.from_pretrained(snake_case_  ,		**snake_case_ )

															UpperCamelCase_:							Optional[int]		=  tempfile.mkdtemp()

															UpperCamelCase_:							str		=  tokenizer_r.save_pretrained(snake_case_ )
															UpperCamelCase_:							Tuple		=  tokenizer_p.save_pretrained(snake_case_ )

															# 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_:							List[Any]		=  tuple(f for f in tokenizer_r_files if """tokenizer.json""" not in f )
															self.assertSequenceEqual(snake_case_  ,		snake_case_ )

															# Checks everything loads correctly in the same way
															UpperCamelCase_:							int		=  tokenizer_r.from_pretrained(snake_case_ )
															UpperCamelCase_:							Union[str, Any]		=  tokenizer_p.from_pretrained(snake_case_ )

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

															shutil.rmtree(snake_case_ )

															# Save tokenizer rust, legacy_format=True
															UpperCamelCase_:							List[str]		=  tempfile.mkdtemp()

															UpperCamelCase_:							Optional[Any]		=  tokenizer_r.save_pretrained(snake_case_  ,		legacy_format=snake_case_ )
															UpperCamelCase_:							Union[str, Any]		=  tokenizer_p.save_pretrained(snake_case_ )

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

															# Checks everything loads correctly in the same way
															UpperCamelCase_:							Optional[int]		=  tokenizer_r.from_pretrained(snake_case_ )
															UpperCamelCase_:							str		=  tokenizer_p.from_pretrained(snake_case_ )

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

															shutil.rmtree(snake_case_ )

															# Save tokenizer rust, legacy_format=False
															UpperCamelCase_:							List[Any]		=  tempfile.mkdtemp()

															UpperCamelCase_:							Any		=  tokenizer_r.save_pretrained(snake_case_  ,		legacy_format=snake_case_ )
															UpperCamelCase_:							Optional[Any]		=  tokenizer_p.save_pretrained(snake_case_ )

															# 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_:							Optional[Any]		=  tokenizer_r.from_pretrained(snake_case_ )
															UpperCamelCase_:							List[Any]		=  tokenizer_p.from_pretrained(snake_case_ )

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

															shutil.rmtree(snake_case_ )




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






			'''simple docstring'''

			__UpperCamelCase :  List[Any]    =	"""facebook/mbart-large-50-one-to-many-mmt"""
			__UpperCamelCase :  Any    =	[
			    """ 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.""",
			]
			__UpperCamelCase :  Optional[int]    =	[
			    """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.""",
			]
			__UpperCamelCase :  Any    =	[EN_CODE, 8_274, 127_873, 25_916, 7, 8_622, 2_071, 438, 67_485, 53, 187_895, 23, 51_712, 2]

			@classmethod
			def  lowerCAmelCase__		(    cls	:    List[Any] ):
							UpperCamelCase_:							MBartaaTokenizer		=  MBartaaTokenizer.from_pretrained(
							    cls.checkpoint_name  ,		src_lang="""en_XX"""  ,		tgt_lang="""ro_RO""" )
							UpperCamelCase_:							str		=  1
							return cls

			def  lowerCAmelCase__		(    self	:    Optional[Any] ):
							self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""ar_AR"""]  ,		25_0001 )
							self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""en_EN"""]  ,		25_0004 )
							self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""ro_RO"""]  ,		25_0020 )
							self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""mr_IN"""]  ,		25_0038 )

			def  lowerCAmelCase__		(    self	:    Optional[int] ):
							UpperCamelCase_:							Dict		=  self.tokenizer.batch_encode_plus(self.src_text ).input_ids[0]
							self.assertListEqual(self.expected_src_tokens  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    Any ):
							self.assertIn(snake_case_  ,		self.tokenizer.all_special_ids )
							UpperCamelCase_:							Dict		=  [RO_CODE, 884, 9019, 96, 9, 916, 8_6792, 36, 1_8743, 1_5596, 5, 2]
							UpperCamelCase_:							Tuple		=  self.tokenizer.decode(snake_case_  ,		skip_special_tokens=snake_case_ )
							UpperCamelCase_:							List[str]		=  self.tokenizer.decode(generated_ids[1:]  ,		skip_special_tokens=snake_case_ )
							self.assertEqual(snake_case_  ,		snake_case_ )
							self.assertNotIn(self.tokenizer.eos_token  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    Dict ):
							UpperCamelCase_:							str		=  ["""this is gunna be a long sentence """ * 20]
							assert isinstance(src_text[0]  ,		snake_case_ )
							UpperCamelCase_:							List[str]		=  10
							UpperCamelCase_:							Optional[int]		=  self.tokenizer(snake_case_  ,		max_length=snake_case_  ,		truncation=snake_case_ ).input_ids[0]
							self.assertEqual(ids[0]  ,		snake_case_ )
							self.assertEqual(ids[-1]  ,		2 )
							self.assertEqual(len(snake_case_ )  ,		snake_case_ )

			def  lowerCAmelCase__		(    self	:    str ):
							self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """ar_AR"""] )  ,		[25_0053, 25_0001] )

			def  lowerCAmelCase__		(    self	:    Dict ):
							UpperCamelCase_:							Any		=  tempfile.mkdtemp()
							UpperCamelCase_:							List[Any]		=  self.tokenizer.fairseq_tokens_to_ids
							self.tokenizer.save_pretrained(snake_case_ )
							UpperCamelCase_:							Any		=  MBartaaTokenizer.from_pretrained(snake_case_ )
							self.assertDictEqual(new_tok.fairseq_tokens_to_ids  ,		snake_case_ )

			@require_torch
			def  lowerCAmelCase__		(    self	:    Union[str, Any] ):
							UpperCamelCase_:							Optional[int]		=  self.tokenizer(self.src_text  ,		text_target=self.tgt_text  ,		padding=snake_case_  ,		return_tensors="""pt""" )
							UpperCamelCase_:							Tuple		=  shift_tokens_right(batch["""labels"""]  ,		self.tokenizer.pad_token_id )

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

			@require_torch
			def  lowerCAmelCase__		(    self	:    int ):
							UpperCamelCase_:							Optional[int]		=  self.tokenizer(
							    self.src_text  ,		text_target=self.tgt_text  ,		padding=snake_case_  ,		truncation=snake_case_  ,		max_length=len(self.expected_src_tokens )  ,		return_tensors="""pt"""  ,		)
							UpperCamelCase_:							Dict		=  shift_tokens_right(batch["""labels"""]  ,		self.tokenizer.pad_token_id )

							self.assertIsInstance(snake_case_  ,		snake_case_ )

							self.assertEqual((2, 14)  ,		batch.input_ids.shape )
							self.assertEqual((2, 14)  ,		batch.attention_mask.shape )
							UpperCamelCase_:							Optional[Any]		=  batch.input_ids.tolist()[0]
							self.assertListEqual(self.expected_src_tokens  ,		snake_case_ )
							self.assertEqual(2  ,		batch.decoder_input_ids[0, 0] )  # decoder_start_token_id
							# Test that special tokens are reset
							self.assertEqual(self.tokenizer.prefix_tokens  ,		[EN_CODE] )
							self.assertEqual(self.tokenizer.suffix_tokens  ,		[self.tokenizer.eos_token_id] )

			def  lowerCAmelCase__		(    self	:    int ):
							UpperCamelCase_:							Any		=  self.tokenizer(self.src_text  ,		padding=snake_case_  ,		truncation=snake_case_  ,		max_length=3  ,		return_tensors="""pt""" )
							UpperCamelCase_:							Any		=  self.tokenizer(
							    text_target=self.tgt_text  ,		padding=snake_case_  ,		truncation=snake_case_  ,		max_length=10  ,		return_tensors="""pt""" )
							UpperCamelCase_:							Dict		=  targets["""input_ids"""]
							UpperCamelCase_:							Optional[Any]		=  shift_tokens_right(snake_case_  ,		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	:    Any ):
							UpperCamelCase_:							Union[str, Any]		=  self.tokenizer._build_translation_inputs(
							    """A test"""  ,		return_tensors="""pt"""  ,		src_lang="""en_XX"""  ,		tgt_lang="""ar_AR""" )

							self.assertEqual(
							    nested_simplify(snake_case_ )  ,		{
							        # en_XX, A, test, EOS
							        """input_ids""": [[25_0004, 62, 3034, 2]],
							        """attention_mask""": [[1, 1, 1, 1]],
							        # ar_AR
							        """forced_bos_token_id""": 25_0001,
							    }  ,		)








def     A__   (  lowerCamelCase  )					->		list:
				return [
				    txt[:a] + txt[a].upper() + txt[a + 1 :]
				    for a in range(len(lowerCamelCase  )  )
				    if txt[a].isalpha()
				]


if __name__ == "__main__":
							__import__("""doctest""").testmod()






