



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     :							List[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]  							=				250_004
__lowerCamelCase     :							Optional[Any]  							=				250_020





@require_sentencepiece
@require_tokenizers
class  __magic_name__   (							snake_case__,  unittest.TestCase						):
		lowercase      :       Dict          =MBartaaTokenizer
		lowercase      :       List[Any]          =MBartaaTokenizerFast
		lowercase      :       Optional[int]          =True
		lowercase      :       Dict          =True






		def SCREAMING_SNAKE_CASE_			(						self      :     int      )				->					Any:
								'''simple docstring'''







								super().setUp()

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






		def SCREAMING_SNAKE_CASE_			(						self      :     Union[str, Any]      )				->					str:
								'''simple docstring'''







								UpperCAmelCase         =     "<s>"
								UpperCAmelCase         =     0

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






		def SCREAMING_SNAKE_CASE_			(						self      :     int      )				->					List[str]:
								'''simple docstring'''







								UpperCAmelCase         =     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(lowercase_      )				,		10_54      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Union[str, Any]      )				->					Dict:
								'''simple docstring'''







								self.assertEqual(self.get_tokenizer().vocab_size				,		10_54      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Optional[Any]      )				->					List[str]:
								'''simple docstring'''







								UpperCAmelCase         =     MBartaaTokenizer(lowercase_				,		src_lang="en_XX"				,		tgt_lang="ro_RO"				,		keep_accents=lowercase_      )

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

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(lowercase_      )				,		[value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]				,		)

								UpperCAmelCase         =     tokenizer.tokenize("I was born in 92000, and this is falsé."      )
								self.assertListEqual(
								    lowercase_				,		[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(lowercase_      )
								self.assertListEqual(
								    lowercase_				,		[
								        value + tokenizer.fairseq_offset
								        for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
								    ]				,		)

								UpperCAmelCase         =     tokenizer.convert_ids_to_tokens(lowercase_      )
								self.assertListEqual(
								    lowercase_				,		[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 SCREAMING_SNAKE_CASE_			(						self      :     List[str]      )				->					int:
								'''simple docstring'''







								UpperCAmelCase         =     {"input_ids": [[25_00_04, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 54_28, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 1_23_99, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 27_89, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 8_05, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [25_00_04, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 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_00_04, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 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=lowercase_				,		model_name="facebook/mbart-large-50"				,		revision="d3913889c59cd5c9e456b269c376325eabad57e2"				,		)







		def SCREAMING_SNAKE_CASE_			(						self      :     Tuple      )				->					List[Any]:
								'''simple docstring'''







								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-mbart50", {})
								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(lowercase_				,		**lowercase_      )
																				UpperCAmelCase         =     self.tokenizer_class.from_pretrained(lowercase_				,		**lowercase_      )

																				UpperCAmelCase         =     tempfile.mkdtemp()

																				UpperCAmelCase         =     tokenizer_r.save_pretrained(lowercase_      )
																				UpperCAmelCase         =     tokenizer_p.save_pretrained(lowercase_      )

																				# 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(lowercase_				,		lowercase_      )

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

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

																				shutil.rmtree(lowercase_      )

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

																				UpperCAmelCase         =     tokenizer_r.save_pretrained(lowercase_				,		legacy_format=lowercase_      )
																				UpperCAmelCase         =     tokenizer_p.save_pretrained(lowercase_      )

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

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

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

																				shutil.rmtree(lowercase_      )

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

																				UpperCAmelCase         =     tokenizer_r.save_pretrained(lowercase_				,		legacy_format=lowercase_      )
																				UpperCAmelCase         =     tokenizer_p.save_pretrained(lowercase_      )

																				# 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(lowercase_      )
																				UpperCAmelCase         =     tokenizer_p.from_pretrained(lowercase_      )

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

																				shutil.rmtree(lowercase_      )





@require_torch
@require_sentencepiece
@require_tokenizers
class  __magic_name__   (							unittest.TestCase						):
		lowercase      :       Optional[int]          ='''facebook/mbart-large-50-one-to-many-mmt'''
		lowercase      :       Union[str, 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.''',
		]
		lowercase      :       Union[str, Any]          =[
		    '''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.''',
		]
		lowercase      :       int          =[EN_CODE, 8274, 12_7873, 2_5916, 7, 8622, 2071, 438, 6_7485, 53, 18_7895, 23, 5_1712, 2]






		@classmethod
		def SCREAMING_SNAKE_CASE_			(						cls      :     Dict      )				->					Optional[int]:
								'''simple docstring'''







								UpperCAmelCase         =     MBartaaTokenizer.from_pretrained(
								    cls.checkpoint_name				,		src_lang="en_XX"				,		tgt_lang="ro_RO"      )
								UpperCAmelCase         =     1
								return cls






		def SCREAMING_SNAKE_CASE_			(						self      :     Dict      )				->					List[str]:
								'''simple docstring'''







								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"]				,		25_00_01      )
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"]				,		25_00_04      )
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"]				,		25_00_20      )
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["mr_IN"]				,		25_00_38      )






		def SCREAMING_SNAKE_CASE_			(						self      :     List[str]      )				->					str:
								'''simple docstring'''







								UpperCAmelCase         =     self.tokenizer.batch_encode_plus(self.src_text      ).input_ids[0]
								self.assertListEqual(self.expected_src_tokens				,		lowercase_      )






		def SCREAMING_SNAKE_CASE_			(						self      :     List[str]      )				->					Optional[int]:
								'''simple docstring'''







								self.assertIn(lowercase_				,		self.tokenizer.all_special_ids      )
								UpperCAmelCase         =     [RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
								UpperCAmelCase         =     self.tokenizer.decode(lowercase_				,		skip_special_tokens=lowercase_      )
								UpperCAmelCase         =     self.tokenizer.decode(generated_ids[1:]				,		skip_special_tokens=lowercase_      )
								self.assertEqual(lowercase_				,		lowercase_      )
								self.assertNotIn(self.tokenizer.eos_token				,		lowercase_      )






		def SCREAMING_SNAKE_CASE_			(						self      :     int      )				->					Union[str, Any]:
								'''simple docstring'''







								UpperCAmelCase         =     ["this is gunna be a long sentence " * 20]
								assert isinstance(src_text[0]				,		lowercase_      )
								UpperCAmelCase         =     10
								UpperCAmelCase         =     self.tokenizer(lowercase_				,		max_length=lowercase_				,		truncation=lowercase_      ).input_ids[0]
								self.assertEqual(ids[0]				,		lowercase_      )
								self.assertEqual(ids[-1]				,		2      )
								self.assertEqual(len(lowercase_      )				,		lowercase_      )






		def SCREAMING_SNAKE_CASE_			(						self      :     int      )				->					Union[str, Any]:
								'''simple docstring'''







								self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]      )				,		[25_00_53, 25_00_01]      )






		def SCREAMING_SNAKE_CASE_			(						self      :     int      )				->					Optional[Any]:
								'''simple docstring'''







								UpperCAmelCase         =     tempfile.mkdtemp()
								UpperCAmelCase         =     self.tokenizer.fairseq_tokens_to_ids
								self.tokenizer.save_pretrained(lowercase_      )
								UpperCAmelCase         =     MBartaaTokenizer.from_pretrained(lowercase_      )
								self.assertDictEqual(new_tok.fairseq_tokens_to_ids				,		lowercase_      )






		@require_torch
		def SCREAMING_SNAKE_CASE_			(						self      :     Union[str, Any]      )				->					str:
								'''simple docstring'''







								UpperCAmelCase         =     self.tokenizer(self.src_text				,		text_target=self.tgt_text				,		padding=lowercase_				,		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][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 SCREAMING_SNAKE_CASE_			(						self      :     int      )				->					Tuple:
								'''simple docstring'''







								UpperCAmelCase         =     self.tokenizer(
								    self.src_text				,		text_target=self.tgt_text				,		padding=lowercase_				,		truncation=lowercase_				,		max_length=len(self.expected_src_tokens      )				,		return_tensors="pt"				,		)
								UpperCAmelCase         =     shift_tokens_right(batch["labels"]				,		self.tokenizer.pad_token_id      )

								self.assertIsInstance(lowercase_				,		lowercase_      )

								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				,		lowercase_      )
								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 SCREAMING_SNAKE_CASE_			(						self      :     Union[str, Any]      )				->					str:
								'''simple docstring'''







								UpperCAmelCase         =     self.tokenizer(self.src_text				,		padding=lowercase_				,		truncation=lowercase_				,		max_length=3				,		return_tensors="pt"      )
								UpperCAmelCase         =     self.tokenizer(
								    text_target=self.tgt_text				,		padding=lowercase_				,		truncation=lowercase_				,		max_length=10				,		return_tensors="pt"      )
								UpperCAmelCase         =     targets["input_ids"]
								UpperCAmelCase         =     shift_tokens_right(lowercase_				,		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 SCREAMING_SNAKE_CASE_			(						self      :     Tuple      )				->					Any:
								'''simple docstring'''







								UpperCAmelCase         =     self.tokenizer._build_translation_inputs(
								    "A test"				,		return_tensors="pt"				,		src_lang="en_XX"				,		tgt_lang="ar_AR"      )

								self.assertEqual(
								    nested_simplify(lowercase_      )				,		{
								        # en_XX, A, test, EOS
								        "input_ids": [[25_00_04, 62, 30_34, 2]],
								        "attention_mask": [[1, 1, 1, 1]],
								        # ar_AR
								        "forced_bos_token_id": 25_00_01,
								    }				,		)








def    lowerCamelCase_(lowerCamelCase_ = 600_851_475_143    ) ->       int:

						try:
												UpperCAmelCase         =     int(lowerCamelCase_    )
						except (TypeError, ValueError):
												raise TypeError("Parameter n must be int or castable to int."    )
						if n <= 0:
												raise ValueError("Parameter n must be greater than or equal to one."    )
						UpperCAmelCase         =     1
						UpperCAmelCase         =     2
						while i * i <= n:
												while n % i == 0:
																		UpperCAmelCase         =     i
																		n //= i
												i += 1
						if n > 1:
												UpperCAmelCase         =     n
						return int(lowerCamelCase_    )


if __name__ == "__main__":
		print(F'''{solution() = }''')



