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


__A						:							Any							=  get_tests_dir("""fixtures/test_sentencepiece.model""")


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

__A						:							Union[str, Any]							=  2_5_0_0_0_4
__A						:							Optional[int]							=  2_5_0_0_2_0




@require_sentencepiece
@require_tokenizers
class 			UpperCAmelCase_      (   A		,      unittest.TestCase       ):




							'''simple docstring'''



							a__						  =     MBartTokenizer
							a__						  =     MBartTokenizerFast
							a__						  =     True
							a__						  =     True





							def    _UpperCAmelCase     (					self       :	int			)			->					Optional[int]:
										super().setUp()

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





							def    _UpperCAmelCase     (					self       :	Tuple			)			->					int:
										SCREAMING_SNAKE_CASE           =					MBartTokenizer(a       ,     keep_accents=a			)

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

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

										SCREAMING_SNAKE_CASE           =					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           =					tokenizer.convert_tokens_to_ids(a			)
										self.assertListEqual(
										    a       ,     [
										        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 ^
										    ]       ,     )

										SCREAMING_SNAKE_CASE           =					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>""",
										        """.""",
										    ]       ,     )







							def    _UpperCAmelCase     (					self       :	Optional[Any]			)			->					List[str]:
										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

										SCREAMING_SNAKE_CASE           =					(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})"""			):
																SCREAMING_SNAKE_CASE           =					self.rust_tokenizer_class.from_pretrained(a       ,     **a			)
																SCREAMING_SNAKE_CASE           =					self.tokenizer_class.from_pretrained(a       ,     **a			)

																SCREAMING_SNAKE_CASE           =					tempfile.mkdtemp()

																SCREAMING_SNAKE_CASE           =					tokenizer_r.save_pretrained(a			)
																SCREAMING_SNAKE_CASE           =					tokenizer_p.save_pretrained(a			)

																# 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			)			)
																SCREAMING_SNAKE_CASE           =					tuple(f for f in tokenizer_r_files if """tokenizer.json""" not in f			)
																self.assertSequenceEqual(a       ,     a			)

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

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

																shutil.rmtree(a			)

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

																SCREAMING_SNAKE_CASE           =					tokenizer_r.save_pretrained(a       ,     legacy_format=a			)
																SCREAMING_SNAKE_CASE           =					tokenizer_p.save_pretrained(a			)

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

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

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

																shutil.rmtree(a			)

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

																SCREAMING_SNAKE_CASE           =					tokenizer_r.save_pretrained(a       ,     legacy_format=a			)
																SCREAMING_SNAKE_CASE           =					tokenizer_p.save_pretrained(a			)

																# 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
																SCREAMING_SNAKE_CASE           =					tokenizer_r.from_pretrained(a			)
																SCREAMING_SNAKE_CASE           =					tokenizer_p.from_pretrained(a			)

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

																shutil.rmtree(a			)





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




							'''simple docstring'''



							a__						  =     '''facebook/mbart-large-en-ro'''
							a__						  =     [
							    ''' 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.''',
							]
							a__						  =     [
							    '''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.''',
							]
							a__						  =     [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    _UpperCAmelCase     (					cls       :	Any			)			->					int:
										SCREAMING_SNAKE_CASE           =					MBartTokenizer.from_pretrained(
										    cls.checkpoint_name       ,     src_lang="""en_XX"""       ,     tgt_lang="""ro_RO"""			)
										SCREAMING_SNAKE_CASE           =					1
										return cls





							def    _UpperCAmelCase     (					self       :	Any			)			->					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    _UpperCAmelCase     (					self       :	List[Any]			)			->					int:
										SCREAMING_SNAKE_CASE           =					self.tokenizer.batch_encode_plus(self.src_text			).input_ids[0]
										self.assertListEqual(self.expected_src_tokens       ,     a			)





							def    _UpperCAmelCase     (					self       :	int			)			->					Dict:
										self.assertIn(a       ,     self.tokenizer.all_special_ids			)
										SCREAMING_SNAKE_CASE           =					[RO_CODE, 884, 9_019, 96, 9, 916, 86_792, 36, 18_743, 15_596, 5, 2]
										SCREAMING_SNAKE_CASE           =					self.tokenizer.decode(a       ,     skip_special_tokens=a			)
										SCREAMING_SNAKE_CASE           =					self.tokenizer.decode(generated_ids[1:]       ,     skip_special_tokens=a			)
										self.assertEqual(a       ,     a			)
										self.assertNotIn(self.tokenizer.eos_token       ,     a			)





							def    _UpperCAmelCase     (					self       :	Optional[int]			)			->					Tuple:
										SCREAMING_SNAKE_CASE           =					["""this is gunna be a long sentence """ * 20]
										assert isinstance(src_text[0]       ,     a			)
										SCREAMING_SNAKE_CASE           =					10
										SCREAMING_SNAKE_CASE           =					self.tokenizer(a       ,     max_length=a       ,     truncation=a			).input_ids[0]
										self.assertEqual(ids[-2]       ,     2			)
										self.assertEqual(ids[-1]       ,     a			)
										self.assertEqual(len(a			)       ,     a			)





							def    _UpperCAmelCase     (					self       :	Optional[Any]			)			->					Optional[Any]:
										self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """ar_AR"""]			)       ,     [250_026, 250_001]			)





							def    _UpperCAmelCase     (					self       :	int			)			->					Dict:
										SCREAMING_SNAKE_CASE           =					tempfile.mkdtemp()
										SCREAMING_SNAKE_CASE           =					self.tokenizer.fairseq_tokens_to_ids
										self.tokenizer.save_pretrained(a			)
										SCREAMING_SNAKE_CASE           =					MBartTokenizer.from_pretrained(a			)
										self.assertDictEqual(new_tok.fairseq_tokens_to_ids       ,     a			)





							@require_torch
							def    _UpperCAmelCase     (					self       :	int			)			->					int:
										SCREAMING_SNAKE_CASE           =					self.tokenizer(self.src_text       ,     text_target=self.tgt_text       ,     padding=a       ,     return_tensors="""pt"""			)
										SCREAMING_SNAKE_CASE           =					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    _UpperCAmelCase     (					self       :	Union[str, Any]			)			->					Union[str, Any]:
										SCREAMING_SNAKE_CASE           =					self.tokenizer(
										    self.src_text       ,     text_target=self.tgt_text       ,     padding=a       ,     truncation=a       ,     max_length=len(self.expected_src_tokens			)       ,     return_tensors="""pt"""       ,     )

										SCREAMING_SNAKE_CASE           =					shift_tokens_right(batch["""labels"""]       ,     self.tokenizer.pad_token_id			)

										self.assertIsInstance(a       ,     a			)

										self.assertEqual((2, 14)       ,     batch.input_ids.shape			)
										self.assertEqual((2, 14)       ,     batch.attention_mask.shape			)
										SCREAMING_SNAKE_CASE           =					batch.input_ids.tolist()[0]
										self.assertListEqual(self.expected_src_tokens       ,     a			)
										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    _UpperCAmelCase     (					self       :	Optional[int]			)			->					Dict:
										SCREAMING_SNAKE_CASE           =					self.tokenizer(self.src_text       ,     padding=a       ,     truncation=a       ,     max_length=3       ,     return_tensors="""pt"""			)
										SCREAMING_SNAKE_CASE           =					self.tokenizer(
										    text_target=self.tgt_text       ,     padding=a       ,     truncation=a       ,     max_length=10       ,     return_tensors="""pt"""			)
										SCREAMING_SNAKE_CASE           =					targets["""input_ids"""]
										SCREAMING_SNAKE_CASE           =					shift_tokens_right(a       ,     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    _UpperCAmelCase     (					self       :	List[Any]			)			->					Any:
										SCREAMING_SNAKE_CASE           =					self.tokenizer._build_translation_inputs(
										    """A test"""       ,     return_tensors="""pt"""       ,     src_lang="""en_XX"""       ,     tgt_lang="""ar_AR"""			)

										self.assertEqual(
										    nested_simplify(a			)       ,     {
										        # 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 __future__ import annotations




class 			UpperCAmelCase_      :




							'''simple docstring'''



							def __init__(					self       :	Optional[int]       ,     a       :	int = 0			)			->					str:
										SCREAMING_SNAKE_CASE           =					key





							def    _UpperCAmelCase     (					self       :	Tuple       ,     a       :	str       ,     a       :	int			)			->					list[str]:
										assert isinstance(a       ,     a			) and isinstance(a       ,     a			)

										SCREAMING_SNAKE_CASE           =					key or self.__key or 1

										# make sure key is an appropriate size
										key %= 255

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





							def    _UpperCAmelCase     (					self       :	Union[str, Any]       ,     a       :	str       ,     a       :	int			)			->					list[str]:
										assert isinstance(a       ,     a			) and isinstance(a       ,     a			)

										SCREAMING_SNAKE_CASE           =					key or self.__key or 1

										# make sure key is an appropriate size
										key %= 255

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





							def    _UpperCAmelCase     (					self       :	Union[str, Any]       ,     a       :	str       ,     a       :	int = 0			)			->					str:
										assert isinstance(a       ,     a			) and isinstance(a       ,     a			)

										SCREAMING_SNAKE_CASE           =					key or self.__key or 1

										# make sure key can be any size
										while key > 255:
													key -= 255

										# This will be returned
										SCREAMING_SNAKE_CASE           =					""""""

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

										return ans





							def    _UpperCAmelCase     (					self       :	Dict       ,     a       :	str       ,     a       :	int = 0			)			->					str:
										assert isinstance(a       ,     a			) and isinstance(a       ,     a			)

										SCREAMING_SNAKE_CASE           =					key or self.__key or 1

										# make sure key can be any size
										while key > 255:
													key -= 255

										# This will be returned
										SCREAMING_SNAKE_CASE           =					""""""

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

										return ans





							def    _UpperCAmelCase     (					self       :	Optional[int]       ,     a       :	str       ,     a       :	int = 0			)			->					bool:
										assert isinstance(a       ,     a			) and isinstance(a       ,     a			)

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

										except OSError:
													return False

										return True







							def    _UpperCAmelCase     (					self       :	Dict       ,     a       :	str       ,     a       :	int			)			->					bool:
										assert isinstance(a       ,     a			) and isinstance(a       ,     a			)

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

										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")






