



import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
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


a	:   Union[str, Any]       			=       get_tests_dir('fixtures/test_sentencepiece.model')







@require_sentencepiece
@require_tokenizers
class 							_a							(					SCREAMING_SNAKE_CASE__      ,						unittest.TestCase ):
			A							=     XGLMTokenizer
			A							=     XGLMTokenizerFast
			A							=     True
			A							=     True

			def 			__snake_case    (self )    ->					List[str]:
						super().setUp()

						# We have a SentencePiece fixture for testing
						UpperCAmelCase_:						Tuple					=			XGLMTokenizer(A__,					keep_accents=A__ )
						tokenizer.save_pretrained(self.tmpdirname )

			def 			__snake_case    (self )    ->					str:
						UpperCAmelCase_:						Optional[Any]					=			"""<pad>"""
						UpperCAmelCase_:						str					=			1

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

			def 			__snake_case    (self )    ->					Any:
						UpperCAmelCase_:						Tuple					=			list(self.get_tokenizer().get_vocab().keys() )

						self.assertEqual(vocab_keys[0],					"""<s>""" )
						self.assertEqual(vocab_keys[1],					"""<pad>""" )
						self.assertEqual(len(A__ ),					1008 )

			def 			__snake_case    (self )    ->					str:
						self.assertEqual(self.get_tokenizer().vocab_size,					1008 )

			def 			__snake_case    (self )    ->					int:
						UpperCAmelCase_:						List[Any]					=			XGLMTokenizer(A__,					keep_accents=A__ )

						UpperCAmelCase_:						Optional[Any]					=			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]],					)

						UpperCAmelCase_:						Dict					=			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""",
						        """.""",
						    ],					)
						UpperCAmelCase_:						List[str]					=			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]
						    ],					)

						UpperCAmelCase_:						Optional[Any]					=			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>""",
						        """.""",
						    ],					)

			@cached_property
			def 			__snake_case    (self )    ->					Union[str, Any]:
						return XGLMTokenizer.from_pretrained("""facebook/xglm-564M""" )

			def 			__snake_case    (self )    ->					int:
						with tempfile.NamedTemporaryFile() as f:
									shutil.copyfile(A__,					f.name )
									UpperCAmelCase_:						Any					=			XGLMTokenizer(f.name,					keep_accents=A__ )
									UpperCAmelCase_:						str					=			pickle.dumps(A__ )
						pickle.loads(A__ )

			def 			__snake_case    (self )    ->					Union[str, Any]:
						if not self.test_rust_tokenizer:
									return

						UpperCAmelCase_:						List[str]					=			self.get_tokenizer()
						UpperCAmelCase_:						Tuple					=			self.get_rust_tokenizer()

						UpperCAmelCase_:						Optional[int]					=			"""I was born in 92000, and this is falsé."""

						UpperCAmelCase_:						Tuple					=			tokenizer.tokenize(A__ )
						UpperCAmelCase_:						Optional[Any]					=			rust_tokenizer.tokenize(A__ )
						self.assertListEqual(A__,					A__ )

						UpperCAmelCase_:						Optional[int]					=			tokenizer.encode(A__,					add_special_tokens=A__ )
						UpperCAmelCase_:						Any					=			rust_tokenizer.encode(A__,					add_special_tokens=A__ )
						self.assertListEqual(A__,					A__ )

						UpperCAmelCase_:						Union[str, Any]					=			self.get_rust_tokenizer()
						UpperCAmelCase_:						Optional[Any]					=			tokenizer.encode(A__ )
						UpperCAmelCase_:						Optional[Any]					=			rust_tokenizer.encode(A__ )
						self.assertListEqual(A__,					A__ )

			@slow
			def 			__snake_case    (self )    ->					Tuple:
						UpperCAmelCase_:						int					=			"""Hello World!"""
						UpperCAmelCase_:						Optional[int]					=			[2, 31227, 4447, 35]

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

			@slow
			def 			__snake_case    (self )    ->					str:
						UpperCAmelCase_:						Union[str, Any]					=			(
						    """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"""
						)
						# fmt: off
						UpperCAmelCase_:						str					=			[2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
						# fmt: on

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

			@slow
			def 			__snake_case    (self )    ->					Dict:
						# fmt: off
						UpperCAmelCase_:						List[Any]					=			{
						    """input_ids""": [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 7, 597, 32, 24, 3688, 9865, 5]],
						    """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, 1, 1, 1]]
						}  # noqa: E501
						# fmt: on

						self.tokenizer_integration_test_util(
						    expected_encoding=A__,					model_name="""facebook/xglm-564M""",					padding=A__,					)








import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class 				lowercase		(					SCREAMING_SNAKE_CASE__       ,  unittest.TestCase		):
							lowercase_       :       Union[str, Any]       					=RoCBertTokenizer
							lowercase_       :       str       					=None
							lowercase_       :       Optional[Any]       					=False
							lowercase_       :       Any       					=True
							lowercase_       :       int       					=filter_non_english




							def  A__      (				self):
												super().setUp()

												lowercase							=						['''[UNK]''', '''[CLS]''', '''[SEP]''', '''[PAD]''', '''[MASK]''', '''你''', '''好''', '''是''', '''谁''', '''a''', '''b''', '''c''', '''d''']
												lowercase							=						{}
												lowercase							=						{}
												for i, value in enumerate(A__):
																	lowercase							=						i
																	lowercase							=						i
												lowercase							=						os.path.join(self.tmpdirname   ,VOCAB_FILES_NAMES['''vocab_file'''])
												lowercase							=						os.path.join(self.tmpdirname   ,VOCAB_FILES_NAMES['''word_shape_file'''])
												lowercase							=						os.path.join(self.tmpdirname   ,VOCAB_FILES_NAMES['''word_pronunciation_file'''])
												with open(self.vocab_file   ,'''w'''   ,encoding='''utf-8''') as vocab_writer:
																	vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]))
												with open(self.word_shape_file   ,'''w'''   ,encoding='''utf-8''') as word_shape_writer:
																	json.dump(A__   ,A__   ,ensure_ascii=A__)
												with open(self.word_pronunciation_file   ,'''w'''   ,encoding='''utf-8''') as word_pronunciation_writer:
																	json.dump(A__   ,A__   ,ensure_ascii=A__)




							def  A__      (				self):
												lowercase							=						self.tokenizer_class(self.vocab_file   ,self.word_shape_file   ,self.word_pronunciation_file)

												lowercase							=						tokenizer.tokenize('''你好[SEP]你是谁''')
												self.assertListEqual(A__   ,['''你''', '''好''', '''[SEP]''', '''你''', '''是''', '''谁'''])
												self.assertListEqual(tokenizer.convert_tokens_to_ids(A__)   ,[5, 6, 2, 5, 7, 8])
												self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(A__)   ,[5, 6, 2, 5, 7, 8])
												self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(A__)   ,[5, 6, 2, 5, 7, 8])




							def  A__      (				self):
												lowercase							=						RoCBertBasicTokenizer()

												self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz''')   ,['''ah''', '''\u535A''', '''\u63A8''', '''zz'''])




							def  A__      (				self):
												lowercase							=						RoCBertBasicTokenizer(do_lower_case=A__)

												self.assertListEqual(
												    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  ''')   ,['''hello''', '''!''', '''how''', '''are''', '''you''', '''?'''])
												self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''')   ,['''hello'''])




							def  A__      (				self):
												lowercase							=						RoCBertBasicTokenizer(do_lower_case=A__   ,strip_accents=A__)

												self.assertListEqual(
												    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''')   ,['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?'''])
												self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''')   ,['''h\u00E9llo'''])




							def  A__      (				self):
												lowercase							=						RoCBertBasicTokenizer(do_lower_case=A__   ,strip_accents=A__)

												self.assertListEqual(
												    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''')   ,['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?'''])
												self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''')   ,['''hello'''])




							def  A__      (				self):
												lowercase							=						RoCBertBasicTokenizer(do_lower_case=A__)

												self.assertListEqual(
												    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''')   ,['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?'''])
												self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''')   ,['''hello'''])




							def  A__      (				self):
												lowercase							=						RoCBertBasicTokenizer(do_lower_case=A__)

												self.assertListEqual(
												    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  ''')   ,['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?'''])




							def  A__      (				self):
												lowercase							=						RoCBertBasicTokenizer(do_lower_case=A__   ,strip_accents=A__)

												self.assertListEqual(
												    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''')   ,['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?'''])




							def  A__      (				self):
												lowercase							=						RoCBertBasicTokenizer(do_lower_case=A__   ,strip_accents=A__)

												self.assertListEqual(
												    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''')   ,['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?'''])




							def  A__      (				self):
												lowercase							=						RoCBertBasicTokenizer(do_lower_case=A__   ,never_split=['''[UNK]'''])

												self.assertListEqual(
												    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]''')   ,['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]'''])




							def  A__      (				self):
												lowercase							=						['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

												lowercase							=						{}
												for i, token in enumerate(A__):
																	lowercase							=						i
												lowercase							=						RoCBertWordpieceTokenizer(vocab=A__   ,unk_token='''[UNK]''')

												self.assertListEqual(tokenizer.tokenize('''''')   ,[])

												self.assertListEqual(tokenizer.tokenize('''unwanted running''')   ,['''un''', '''##want''', '''##ed''', '''runn''', '''##ing'''])

												self.assertListEqual(tokenizer.tokenize('''unwantedX running''')   ,['''[UNK]''', '''runn''', '''##ing'''])




							def  A__      (				self):
												self.assertTrue(_is_whitespace(''' '''))
												self.assertTrue(_is_whitespace('''\t'''))
												self.assertTrue(_is_whitespace('''\r'''))
												self.assertTrue(_is_whitespace('''\n'''))
												self.assertTrue(_is_whitespace('''\u00A0'''))

												self.assertFalse(_is_whitespace('''A'''))
												self.assertFalse(_is_whitespace('''-'''))




							def  A__      (				self):
												self.assertTrue(_is_control('''\u0005'''))

												self.assertFalse(_is_control('''A'''))
												self.assertFalse(_is_control(''' '''))
												self.assertFalse(_is_control('''\t'''))
												self.assertFalse(_is_control('''\r'''))




							def  A__      (				self):
												self.assertTrue(_is_punctuation('''-'''))
												self.assertTrue(_is_punctuation('''$'''))
												self.assertTrue(_is_punctuation('''`'''))
												self.assertTrue(_is_punctuation('''.'''))

												self.assertFalse(_is_punctuation('''A'''))
												self.assertFalse(_is_punctuation(''' '''))




							def  A__      (				self):
												lowercase							=						self.get_tokenizer()

												# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
												self.assertListEqual([tokenizer.tokenize(A__) for t in ['''Test''', '''\xad''', '''test''']]   ,[['''[UNK]'''], [], ['''[UNK]''']])

												if self.test_rust_tokenizer:
																	lowercase							=						self.get_rust_tokenizer()
																	self.assertListEqual(
																	    [rust_tokenizer.tokenize(A__) for t in ['''Test''', '''\xad''', '''test''']]   ,[['''[UNK]'''], [], ['''[UNK]''']])




							def  A__      (				self):
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'):
																						lowercase							=						self.rust_tokenizer_class.from_pretrained(A__   ,**A__)

																						lowercase							=						f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
																						lowercase							=						tokenizer_r.encode_plus(
																						    A__   ,return_attention_mask=A__   ,return_token_type_ids=A__   ,return_offsets_mapping=A__   ,add_special_tokens=A__   ,)

																						lowercase							=						tokenizer_r.do_lower_case if hasattr(A__   ,'''do_lower_case''') else False
																						lowercase							=						(
																						    [
																						        ((0, 0), tokenizer_r.cls_token),
																						        ((0, 1), '''A'''),
																						        ((1, 2), ''','''),
																						        ((3, 5), '''na'''),
																						        ((5, 6), '''##ï'''),
																						        ((6, 8), '''##ve'''),
																						        ((9, 1_5), tokenizer_r.mask_token),
																						        ((1_6, 2_1), '''Allen'''),
																						        ((2_1, 2_3), '''##NL'''),
																						        ((2_3, 2_4), '''##P'''),
																						        ((2_5, 3_3), '''sentence'''),
																						        ((3_3, 3_4), '''.'''),
																						        ((0, 0), tokenizer_r.sep_token),
																						    ]
																						    if not do_lower_case
																						    else [
																						        ((0, 0), tokenizer_r.cls_token),
																						        ((0, 1), '''a'''),
																						        ((1, 2), ''','''),
																						        ((3, 8), '''naive'''),
																						        ((9, 1_5), tokenizer_r.mask_token),
																						        ((1_6, 2_1), '''allen'''),
																						        ((2_1, 2_3), '''##nl'''),
																						        ((2_3, 2_4), '''##p'''),
																						        ((2_5, 3_3), '''sentence'''),
																						        ((3_3, 3_4), '''.'''),
																						        ((0, 0), tokenizer_r.sep_token),
																						    ]
																						)

																						self.assertEqual(
																						    [e[1] for e in expected_results]   ,tokenizer_r.convert_ids_to_tokens(tokens['''input_ids''']))
																						self.assertEqual([e[0] for e in expected_results]   ,tokens['''offset_mapping'''])




							def  A__      (				self):
												lowercase							=						['''的''', '''人''', '''有''']
												lowercase							=						''''''.join(A__)
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'):
																						lowercase							=						True
																						lowercase							=						self.tokenizer_class.from_pretrained(A__   ,**A__)
																						lowercase							=						self.rust_tokenizer_class.from_pretrained(A__   ,**A__)

																						lowercase							=						tokenizer_p.encode(A__   ,add_special_tokens=A__)
																						lowercase							=						tokenizer_r.encode(A__   ,add_special_tokens=A__)

																						lowercase							=						tokenizer_r.convert_ids_to_tokens(A__)
																						lowercase							=						tokenizer_p.convert_ids_to_tokens(A__)

																						# it is expected that each Chinese character is not preceded by "##"
																						self.assertListEqual(A__   ,A__)
																						self.assertListEqual(A__   ,A__)

																						lowercase							=						False
																						lowercase							=						self.rust_tokenizer_class.from_pretrained(A__   ,**A__)
																						lowercase							=						self.tokenizer_class.from_pretrained(A__   ,**A__)

																						lowercase							=						tokenizer_r.encode(A__   ,add_special_tokens=A__)
																						lowercase							=						tokenizer_p.encode(A__   ,add_special_tokens=A__)

																						lowercase							=						tokenizer_r.convert_ids_to_tokens(A__)
																						lowercase							=						tokenizer_p.convert_ids_to_tokens(A__)

																						# it is expected that only the first Chinese character is not preceded by "##".
																						lowercase							=						[
																						    f'##{token}' if idx != 0 else token for idx, token in enumerate(A__)
																						]
																						self.assertListEqual(A__   ,A__)
																						self.assertListEqual(A__   ,A__)




							@slow
							def  A__      (				self):
												lowercase							=						self.tokenizer_class(self.vocab_file   ,self.word_shape_file   ,self.word_pronunciation_file)

												lowercase							=						tokenizer.encode('''你好'''   ,add_special_tokens=A__)
												lowercase							=						tokenizer.encode('''你是谁'''   ,add_special_tokens=A__)

												lowercase							=						tokenizer.build_inputs_with_special_tokens(A__)
												lowercase							=						tokenizer.build_inputs_with_special_tokens(A__   ,A__)

												assert encoded_sentence == [1] + text + [2]
												assert encoded_pair == [1] + text + [2] + text_a + [2]





							def  A__      (				self):
												lowercase							=						self.get_tokenizers(do_lower_case=A__)
												for tokenizer in tokenizers:
																	with self.subTest(f'{tokenizer.__class__.__name__}'):
																						lowercase							=						'''你好，你是谁'''
																						lowercase							=						tokenizer.tokenize(A__)
																						lowercase							=						tokenizer.convert_tokens_to_ids(A__)
																						lowercase							=						tokenizer.convert_tokens_to_shape_ids(A__)
																						lowercase							=						tokenizer.convert_tokens_to_pronunciation_ids(A__)
																						lowercase							=						tokenizer.prepare_for_model(
																						    A__   ,A__   ,A__   ,add_special_tokens=A__)

																						lowercase							=						tokenizer.encode_plus(A__   ,add_special_tokens=A__)

																						self.assertEqual(A__   ,A__)




