


'''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


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


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

__UpperCAmelCase					       =							250_004
__UpperCAmelCase					       =							250_020




@require_sentencepiece
@require_tokenizers
class 	a__       (							a__       ,       unittest.TestCase						):





							'''simple docstring'''






							lowercase__    :     Any					=   MBartTokenizer
							lowercase__    :     str					=   MBartTokenizerFast
							lowercase__    :     List[Any]					=   True
							lowercase__    :     List[Any]					=   True







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Tuple:
														super().setUp()

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







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Any:
														lowerCAmelCase__      =			MBartTokenizer(lowerCamelCase_      ,					keep_accents=lowerCamelCase_     )

														lowerCAmelCase__      =			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 [2_85, 46, 10, 1_70, 3_82]]      ,					)

														lowerCAmelCase__      =			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''',
														        '''.''',
														    ]      ,					)
														lowerCAmelCase__      =			tokenizer.convert_tokens_to_ids(lowerCamelCase_     )
														self.assertListEqual(
														    lowerCamelCase_      ,					[
														        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]
														        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
														    ]      ,					)

														lowerCAmelCase__      =			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 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Optional[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

														lowerCAmelCase__      =			(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})"""     ):
																												lowerCAmelCase__      =			self.rust_tokenizer_class.from_pretrained(lowerCamelCase_      ,					**lowerCamelCase_     )
																												lowerCAmelCase__      =			self.tokenizer_class.from_pretrained(lowerCamelCase_      ,					**lowerCamelCase_     )

																												lowerCAmelCase__      =			tempfile.mkdtemp()

																												lowerCAmelCase__      =			tokenizer_r.save_pretrained(lowerCamelCase_     )
																												lowerCAmelCase__      =			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     )     )
																												lowerCAmelCase__      =			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
																												lowerCAmelCase__      =			tokenizer_r.from_pretrained(lowerCamelCase_     )
																												lowerCAmelCase__      =			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
																												lowerCAmelCase__      =			tempfile.mkdtemp()

																												lowerCAmelCase__      =			tokenizer_r.save_pretrained(lowerCamelCase_      ,					legacy_format=lowerCamelCase_     )
																												lowerCAmelCase__      =			tokenizer_p.save_pretrained(lowerCamelCase_     )

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

																												# Checks everything loads correctly in the same way
																												lowerCAmelCase__      =			tokenizer_r.from_pretrained(lowerCamelCase_     )
																												lowerCAmelCase__      =			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
																												lowerCAmelCase__      =			tempfile.mkdtemp()

																												lowerCAmelCase__      =			tokenizer_r.save_pretrained(lowerCamelCase_      ,					legacy_format=lowerCamelCase_     )
																												lowerCAmelCase__      =			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
																												lowerCAmelCase__      =			tokenizer_r.from_pretrained(lowerCamelCase_     )
																												lowerCAmelCase__      =			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 	a__       (							unittest.TestCase						):





							'''simple docstring'''






							lowercase__    :     Union[str, Any]					=   "facebook/mbart-large-en-ro"
							lowercase__    :     Tuple					=   [
							    " 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__    :     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.",
							]
							lowercase__    :     Optional[int]					=   [8_2_7_4, 1_2_7_8_7_3, 2_5_9_1_6, 7, 8_6_2_2, 2_0_7_1, 4_3_8, 6_7_4_8_5, 5_3, 1_8_7_8_9_5, 2_3, 5_1_7_1_2, 2, EN_CODE]







							@classmethod
							def 						__SCREAMING_SNAKE_CASE							(	cls     ) ->							List[str]:
														lowerCAmelCase__      =			MBartTokenizer.from_pretrained(
														    cls.checkpoint_name      ,					src_lang='''en_XX'''      ,					tgt_lang='''ro_RO'''     )
														lowerCAmelCase__      =			1
														return cls







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







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Optional[int]:
														lowerCAmelCase__      =			self.tokenizer.batch_encode_plus(self.src_text     ).input_ids[0]
														self.assertListEqual(self.expected_src_tokens      ,					lowerCamelCase_     )







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Optional[Any]:
														self.assertIn(lowerCamelCase_      ,					self.tokenizer.all_special_ids     )
														lowerCAmelCase__      =			[RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
														lowerCAmelCase__      =			self.tokenizer.decode(lowerCamelCase_      ,					skip_special_tokens=lowerCamelCase_     )
														lowerCAmelCase__      =			self.tokenizer.decode(generated_ids[1:]      ,					skip_special_tokens=lowerCamelCase_     )
														self.assertEqual(lowerCamelCase_      ,					lowerCamelCase_     )
														self.assertNotIn(self.tokenizer.eos_token      ,					lowerCamelCase_     )







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Optional[Any]:
														lowerCAmelCase__      =			['''this is gunna be a long sentence ''' * 20]
														assert isinstance(src_text[0]      ,					lowerCamelCase_     )
														lowerCAmelCase__      =			10
														lowerCAmelCase__      =			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 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Tuple:
														self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']     )      ,					[25_00_26, 25_00_01]     )







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Dict:
														lowerCAmelCase__      =			tempfile.mkdtemp()
														lowerCAmelCase__      =			self.tokenizer.fairseq_tokens_to_ids
														self.tokenizer.save_pretrained(lowerCamelCase_     )
														lowerCAmelCase__      =			MBartTokenizer.from_pretrained(lowerCamelCase_     )
														self.assertDictEqual(new_tok.fairseq_tokens_to_ids      ,					lowerCamelCase_     )







							@require_torch
							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Optional[int]:
														lowerCAmelCase__      =			self.tokenizer(self.src_text      ,					text_target=self.tgt_text      ,					padding=lowerCamelCase_      ,					return_tensors='''pt'''     )
														lowerCAmelCase__      =			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 						__SCREAMING_SNAKE_CASE							(	self     ) ->							List[Any]:
														lowerCAmelCase__      =			self.tokenizer(
														    self.src_text      ,					text_target=self.tgt_text      ,					padding=lowerCamelCase_      ,					truncation=lowerCamelCase_      ,					max_length=len(self.expected_src_tokens     )      ,					return_tensors='''pt'''      ,					)

														lowerCAmelCase__      =			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     )
														lowerCAmelCase__      =			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 						__SCREAMING_SNAKE_CASE							(	self     ) ->							str:
														lowerCAmelCase__      =			self.tokenizer(self.src_text      ,					padding=lowerCamelCase_      ,					truncation=lowerCamelCase_      ,					max_length=3      ,					return_tensors='''pt'''     )
														lowerCAmelCase__      =			self.tokenizer(
														    text_target=self.tgt_text      ,					padding=lowerCamelCase_      ,					truncation=lowerCamelCase_      ,					max_length=10      ,					return_tensors='''pt'''     )
														lowerCAmelCase__      =			targets['''input_ids''']
														lowerCAmelCase__      =			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 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Optional[Any]:
														lowerCAmelCase__      =			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, 30_34, 2, 25_00_04]],
														        '''attention_mask''': [[1, 1, 1, 1]],
														        # ar_AR
														        '''forced_bos_token_id''': 25_00_01,
														    }      ,					)



'''simple docstring'''






from __future__ import annotations




class 	a__       :





							'''simple docstring'''






							def __init__(	self      ,					lowerCamelCase_ = 0     ) ->							List[Any]:
														lowerCAmelCase__      =			key







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_     ) ->							list[str]:
														assert isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) and isinstance(lowerCamelCase_      ,					lowerCamelCase_     )

														lowerCAmelCase__      =			key or self.__key or 1

														# make sure key is an appropriate size
														key %= 2_55

														return [chr(ord(lowerCamelCase_     ) ^ key     ) for ch in content]







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_     ) ->							list[str]:
														assert isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) and isinstance(lowerCamelCase_      ,					lowerCamelCase_     )

														lowerCAmelCase__      =			key or self.__key or 1

														# make sure key is an appropriate size
														key %= 2_55

														return [chr(ord(lowerCamelCase_     ) ^ key     ) for ch in content]







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_ = 0     ) ->							str:
														assert isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) and isinstance(lowerCamelCase_      ,					lowerCamelCase_     )

														lowerCAmelCase__      =			key or self.__key or 1

														# make sure key can be any size
														while key > 2_55:
																					key -= 2_55

														# This will be returned
														lowerCAmelCase__      =			''''''

														for ch in content:
																					ans += chr(ord(lowerCamelCase_     ) ^ key     )

														return ans







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_ = 0     ) ->							str:
														assert isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) and isinstance(lowerCamelCase_      ,					lowerCamelCase_     )

														lowerCAmelCase__      =			key or self.__key or 1

														# make sure key can be any size
														while key > 2_55:
																					key -= 2_55

														# This will be returned
														lowerCAmelCase__      =			''''''

														for ch in content:
																					ans += chr(ord(lowerCamelCase_     ) ^ key     )

														return ans







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_ = 0     ) ->							bool:
														assert isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) and isinstance(lowerCamelCase_      ,					lowerCamelCase_     )

														try:
																					with open(lowerCamelCase_     ) as fin, open('''encrypt.out'''      ,					'''w+'''     ) as fout:
																												# actual encrypt-process
																												for line in fin:
																																			fout.write(self.encrypt_string(lowerCamelCase_      ,					lowerCamelCase_     )     )

														except OSError:
																					return False

														return True







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_     ) ->							bool:
														assert isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) and isinstance(lowerCamelCase_      ,					lowerCamelCase_     )

														try:
																					with open(lowerCamelCase_     ) as fin, open('''decrypt.out'''      ,					'''w+'''     ) as fout:
																												# actual encrypt-process
																												for line in fin:
																																			fout.write(self.decrypt_string(lowerCamelCase_      ,					lowerCamelCase_     )     )

														except OSError:
																					return False

														return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")