


'''simple docstring'''






import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


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




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





							'''simple docstring'''






							lowercase__    :     List[Any]					=   XLMRobertaTokenizer
							lowercase__    :     int					=   XLMRobertaTokenizerFast
							lowercase__    :     Optional[int]					=   True
							lowercase__    :     List[Any]					=   True







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

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







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Union[str, Any]:
														lowerCAmelCase__      =			'''<pad>'''
														lowerCAmelCase__      =			1

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







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Any:
														lowerCAmelCase__      =			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(__lowerCamelCase     )      ,					10_02     )







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Any:
														self.assertEqual(self.get_tokenizer().vocab_size      ,					10_02     )







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							int:
														lowerCAmelCase__      =			XLMRobertaTokenizer(__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     ) ->							Any:






														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-xlm-roberta''', {})
														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     )







							@cached_property
							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Dict:
														return XLMRobertaTokenizer.from_pretrained('''xlm-roberta-base'''     )







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Dict:






														with tempfile.NamedTemporaryFile() as f:
																					shutil.copyfile(__lowerCamelCase      ,					f.name     )
																					lowerCAmelCase__      =			XLMRobertaTokenizer(f.name      ,					keep_accents=__lowerCamelCase     )
																					lowerCAmelCase__      =			pickle.dumps(__lowerCamelCase     )
														pickle.loads(__lowerCamelCase     )







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Union[str, Any]:






														if not self.test_rust_tokenizer:
																					return

														lowerCAmelCase__      =			self.get_tokenizer()
														lowerCAmelCase__      =			self.get_rust_tokenizer()

														lowerCAmelCase__      =			'''I was born in 92000, and this is falsé.'''

														lowerCAmelCase__      =			tokenizer.tokenize(__lowerCamelCase     )
														lowerCAmelCase__      =			rust_tokenizer.tokenize(__lowerCamelCase     )
														self.assertListEqual(__lowerCamelCase      ,					__lowerCamelCase     )

														lowerCAmelCase__      =			tokenizer.encode(__lowerCamelCase      ,					add_special_tokens=__lowerCamelCase     )
														lowerCAmelCase__      =			rust_tokenizer.encode(__lowerCamelCase      ,					add_special_tokens=__lowerCamelCase     )
														self.assertListEqual(__lowerCamelCase      ,					__lowerCamelCase     )

														lowerCAmelCase__      =			self.get_rust_tokenizer()
														lowerCAmelCase__      =			tokenizer.encode(__lowerCamelCase     )
														lowerCAmelCase__      =			rust_tokenizer.encode(__lowerCamelCase     )
														self.assertListEqual(__lowerCamelCase      ,					__lowerCamelCase     )







							@slow
							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							str:
														lowerCAmelCase__      =			'''Hello World!'''
														lowerCAmelCase__      =			[0, 3_53_78, 66_61, 38, 2]
														# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
														# xlmr.eval()
														# xlmr.encode(symbols)

														self.assertListEqual(__lowerCamelCase      ,					self.big_tokenizer.encode(__lowerCamelCase     )     )







							@slow
							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							int:
														lowerCAmelCase__      =			(
														    '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
														    ''' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'''
														)
														lowerCAmelCase__      =			[
														    0,
														    32_93,
														    83,
														    10,
														    45_52,
														    49_89,
														    79_86,
														    6_78,
														    10,
														    59_15,
														    1_11,
														    17_94_59,
														    12_48_50,
														    4,
														    60_44,
														    2_37,
														    12,
														    6,
														    5,
														    6,
														    4,
														    67_80,
														    7_05,
														    15,
														    13_88,
														    44,
														    3_78,
														    1_01_14,
														    7_11,
														    1_52,
														    20,
														    6,
														    5,
														    2_23_76,
														    6_42,
														    12_21,
														    1_51_90,
														    3_41_53,
														    4_50,
														    56_08,
														    9_59,
														    11_19,
														    5_77_02,
														    1_36,
														    1_86,
														    47,
														    10_98,
														    2_93_67,
														    47,
														    # 4426, # What fairseq tokenizes from "<unk>": "_<"
														    # 3678, # What fairseq tokenizes from "<unk>": "unk"
														    # 2740, # What fairseq tokenizes from "<unk>": ">"
														    3,  # What we tokenize from "<unk>": "<unk>"
														    6,  # Residue from the tokenization: an extra sentencepiece underline
														    4,
														    60_44,
														    2_37,
														    62_84,
														    5_09_01,
														    5_28,
														    31,
														    90,
														    34,
														    9_27,
														    2,
														]
														# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
														# xlmr.eval()
														# xlmr.encode(symbols)

														self.assertListEqual(__lowerCamelCase      ,					self.big_tokenizer.encode(__lowerCamelCase     )     )







							@slow
							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							List[Any]:
														lowerCAmelCase__      =			{'''input_ids''': [[0, 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], [0, 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], [0, 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=__lowerCamelCase      ,					model_name='''xlm-roberta-base'''      ,					revision='''d9d8a8ea5eb94b1c6654ae9249df7793cd2933d3'''      ,					)



'''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")