


"""simple docstring"""







import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase_       :       Optional[int]      						=  get_tests_dir("""fixtures/test_sentencepiece.model""")






@require_sentencepiece
@require_tokenizers
class 				__A    (	_SCREAMING_SNAKE_CASE,   unittest.TestCase      ):






 """simple docstring"""




 __lowerCAmelCase			 =  ReformerTokenizer
 __lowerCAmelCase			 =  ReformerTokenizerFast
 __lowerCAmelCase			 =  True
 __lowerCAmelCase			 =  False
 __lowerCAmelCase			 =  True


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Union[str, Any]:
     super().setUp()

     a					=ReformerTokenizer(__A			,   keep_accents=__A						)
     tokenizer.save_pretrained(self.tmpdirname						)


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					str:
     a					='''<s>'''
     a					=1

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


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Any:
     a					=list(self.get_tokenizer().get_vocab().keys()						)

     self.assertEqual(vocab_keys[0]			,   '''<unk>'''						)
     self.assertEqual(vocab_keys[1]			,   '''<s>'''						)
     self.assertEqual(vocab_keys[-1]			,   '''j'''						)
     self.assertEqual(len(__A						)			,   1000						)


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Dict:
     self.assertEqual(self.get_tokenizer().vocab_size			,   1000						)


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					List[Any]:
     if not self.test_rust_tokenizer:
         return

     a					=self.get_tokenizer()
     a					=self.get_rust_tokenizer()

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

     a					=tokenizer.tokenize(__A						)
     a					=rust_tokenizer.tokenize(__A						)
     self.assertListEqual(__A			,   __A						)

     a					=tokenizer.encode(__A			,   add_special_tokens=__A						)
     a					=rust_tokenizer.encode(__A			,   add_special_tokens=__A						)
     self.assertListEqual(__A			,   __A						)

     a					=self.get_rust_tokenizer()
     a					=tokenizer.encode(__A						)
     a					=rust_tokenizer.encode(__A						)
     self.assertListEqual(__A			,   __A						)


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A=15						) ->					Optional[int]:
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
             a					=self.rust_tokenizer_class.from_pretrained(__A			,   **__A						)

             # Simple input
             a					='''This is a simple input'''
             a					=['''This is a simple input 1''', '''This is a simple input 2''']
             a					=('''This is a simple input''', '''This is a pair''')
             a					=[
                 ('''This is a simple input 1''', '''This is a simple input 2'''),
                 ('''This is a simple pair 1''', '''This is a simple pair 2'''),
             ]

             # Simple input tests
             self.assertRaises(__A			,   tokenizer_r.encode			,   __A			,   max_length=__A			,   padding='''max_length'''						)

             # Simple input
             self.assertRaises(__A			,   tokenizer_r.encode_plus			,   __A			,   max_length=__A			,   padding='''max_length'''						)

             # Simple input
             self.assertRaises(
                 __A			,   tokenizer_r.batch_encode_plus			,   __A			,   max_length=__A			,   padding='''max_length'''			,   )

             # Pair input
             self.assertRaises(__A			,   tokenizer_r.encode			,   __A			,   max_length=__A			,   padding='''max_length'''						)

             # Pair input
             self.assertRaises(__A			,   tokenizer_r.encode_plus			,   __A			,   max_length=__A			,   padding='''max_length'''						)

             # Pair input
             self.assertRaises(
                 __A			,   tokenizer_r.batch_encode_plus			,   __A			,   max_length=__A			,   padding='''max_length'''			,   )


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Optional[int]:
     pass


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					List[str]:
     a					=ReformerTokenizer(__A			,   keep_accents=__A						)

     a					=tokenizer.tokenize('''This is a test'''						)
     self.assertListEqual(__A			,   ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']						)

     self.assertListEqual(
         tokenizer.convert_tokens_to_ids(__A						)			,   [285, 46, 10, 170, 382]			,   )

     a					=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''',
             '''.''',
         ]			,   )
     a					=tokenizer.convert_tokens_to_ids(__A						)
     self.assertListEqual(
         __A			,   [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]			,   )

     a					=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 				SCREAMING_SNAKE_CASE							(		self						) ->					List[Any]:
     return ReformerTokenizer.from_pretrained('''google/reformer-crime-and-punishment'''						)


 @slow
 def 				SCREAMING_SNAKE_CASE							(		self						) ->					List[str]:
     a					='''Hello World!'''
     a					=[126, 32, 262, 152, 38, 72, 287]

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


 @slow
 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Dict:
     a					=(
         '''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'''
     )
     a					=[
         108,
         265,
         24,
         111,
         4,
         258,
         156,
         35,
         28,
         275,
         3,
         259,
         297,
         260,
         84,
         4,
         35,
         110,
         44,
         8,
         259,
         91,
         268,
         21,
         11,
         209,
         274,
         109,
         266,
         277,
         117,
         86,
         93,
         315,
         258,
         278,
         258,
         277,
         258,
         0,
         258,
         288,
         258,
         319,
         258,
         0,
         258,
         0,
         258,
         0,
         258,
         0,
         258,
         287,
         258,
         315,
         258,
         289,
         258,
         278,
         99,
         269,
         266,
         262,
         8,
         259,
         241,
         4,
         217,
         230,
         268,
         266,
         55,
         168,
         106,
         75,
         193,
         266,
         223,
         27,
         49,
         26,
         282,
         25,
         264,
         299,
         19,
         26,
         0,
         258,
         277,
         117,
         86,
         93,
         176,
         183,
         270,
         11,
         262,
         42,
         61,
         265,
     ]

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


 @require_torch
 @slow
 def 				SCREAMING_SNAKE_CASE							(		self						) ->					str:
     import torch

     from transformers import ReformerConfig, ReformerModel

     # Build sequence
     a					=list(self.big_tokenizer.get_vocab().keys()						)[:10]
     a					=''' '''.join(__A						)
     a					=self.big_tokenizer.encode_plus(__A			,   return_tensors='''pt'''						)
     a					=self.big_tokenizer.batch_encode_plus([sequence, sequence]			,   return_tensors='''pt'''						)

     a					=ReformerConfig()
     # The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
     a					=encoded_sequence['''input_ids'''].shape
     a					=ReformerModel(__A						)

     # Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
     assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

     with torch.no_grad():
         model(**__A						)
         model(**__A						)





 @slow
 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Tuple:
     # fmt: off
     a					={'''input_ids''': [[108, 265, 24, 111, 4, 258, 156, 7, 51, 279, 58, 7, 76, 25, 69, 278], [140, 243, 264, 134, 17, 267, 77, 263, 22, 262, 297, 258, 304, 177, 279, 266, 14, 89, 13, 35, 261, 299, 272, 137, 275, 278]], '''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]]}  # noqa: E501
     # fmt: on

     # This tokenizer does not know some characters like ")".
     # That is the reason why we use very simple texts here.
     # Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
     a					=[
         '''This is a very simple sentence.''',
         '''The quick brown fox jumps over the lazy dog.''',
     ]

     self.tokenizer_integration_test_util(
         expected_encoding=__A			,   model_name='''google/reformer-crime-and-punishment'''			,   revision='''0e6c3decb8211d49bf881013425dc8b0448b3f5a'''			,   padding=__A			,   sequences=__A			,   )



"""simple docstring"""







import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_rjieba
@require_tokenizers
class 				__A    (	_SCREAMING_SNAKE_CASE,   unittest.TestCase      ):






 """simple docstring"""




 __lowerCAmelCase			 =  RoFormerTokenizer
 __lowerCAmelCase			 =  RoFormerTokenizerFast
 __lowerCAmelCase			 =  True
 __lowerCAmelCase			 =  True


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


 def 				SCREAMING_SNAKE_CASE							(		self			,   **__A						) ->					Optional[int]:
     return self.tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''			,   **__A						)


 def 				SCREAMING_SNAKE_CASE							(		self			,   **__A						) ->					List[Any]:
     return self.rust_tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''			,   **__A						)


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Dict:
     a					='''永和服装饰品有限公司,今天天气非常好'''
     a					='''永和 服装 饰品 有限公司 , 今 天 天 气 非常 好'''
     return input_text, output_text


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Optional[int]:
     a					=self.get_tokenizer()
     a		,				a					=self.get_chinese_input_output_texts()
     a					=tokenizer.tokenize(__A						)

     self.assertListEqual(__A			,   output_text.split()						)

     a					=tokens + [tokenizer.unk_token]
     a					=[2_2943, 2_1332, 3_4431, 4_5904, 117, 306, 1231, 1231, 2653, 3_3994, 1266, 100]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__A						)			,   __A						)


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Union[str, Any]:
     a					=self.get_rust_tokenizer()
     a		,				a					=self.get_chinese_input_output_texts()
     a					=tokenizer.tokenize(__A						)
     self.assertListEqual(__A			,   output_text.split()						)
     a					=tokens + [tokenizer.unk_token]
     a					=[2_2943, 2_1332, 3_4431, 4_5904, 117, 306, 1231, 1231, 2653, 3_3994, 1266, 100]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__A						)			,   __A						)


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Tuple:
     pass


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Tuple:
     pass





 def 				SCREAMING_SNAKE_CASE							(		self						) ->					int:
     pass