





import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin

class 	__SCREAMING_SNAKE_CASE				(   _UpperCamelCase							,   unittest.TestCase     ):



     '''simple docstring'''

     __snake_case					:			Optional[Any]				=    CanineTokenizer
     __snake_case					:			Optional[Any]				=    False






     def        SCREAMING_SNAKE_CASE__						(							self		:					str )  ->	Tuple:




           '''simple docstring'''


           super().setUp()
           SCREAMING_SNAKE_CASE	=		CanineTokenizer()
           tokenizer.save_pretrained(self.tmpdirname )






     @cached_property
     def        SCREAMING_SNAKE_CASE__						(							self		:					int )  ->	int:




           '''simple docstring'''


           return CanineTokenizer.from_pretrained("""google/canine-s""" )






     def        SCREAMING_SNAKE_CASE__						(							self		:					Any		,**lowerCamelCase__		:					str )  ->	Any:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.tokenizer_class.from_pretrained(self.tmpdirname		,**_UpperCAmelCase )
           SCREAMING_SNAKE_CASE	=		1024
           return tokenizer






     @require_torch
     def        SCREAMING_SNAKE_CASE__						(							self		:					List[str] )  ->	Any:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.canine_tokenizer
           SCREAMING_SNAKE_CASE	=		['''Life is like a box of chocolates.''', '''You never know what you\'re gonna get.''']
           # fmt: off
           SCREAMING_SNAKE_CASE	=		[57344, 76, 105, 102, 101, 32, 105, 115, 32, 108, 105, 107, 101, 32, 97, 32, 98, 111, 120, 32, 111, 102, 32, 99, 104, 111, 99, 111, 108, 97, 116, 101, 115, 46, 57345, 0, 0, 0, 0]
           # fmt: on
           SCREAMING_SNAKE_CASE	=		tokenizer(_UpperCAmelCase		,padding=_UpperCAmelCase		,return_tensors="""pt""" )
           self.assertIsInstance(_UpperCAmelCase		,_UpperCAmelCase )

           SCREAMING_SNAKE_CASE	=		list(batch.input_ids.numpy()[0] )

           self.assertListEqual(_UpperCAmelCase		,_UpperCAmelCase )

           self.assertEqual((2, 39)		,batch.input_ids.shape )
           self.assertEqual((2, 39)		,batch.attention_mask.shape )






     @require_torch
     def        SCREAMING_SNAKE_CASE__						(							self		:					Tuple )  ->	Dict:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.canine_tokenizer
           SCREAMING_SNAKE_CASE	=		['''Once there was a man.''', '''He wrote a test in HuggingFace Tranformers.''']
           SCREAMING_SNAKE_CASE	=		tokenizer(_UpperCAmelCase		,padding=_UpperCAmelCase		,return_tensors="""pt""" )
           # check if input_ids, attention_mask and token_type_ids are returned
           self.assertIn("""input_ids"""		,_UpperCAmelCase )
           self.assertIn("""attention_mask"""		,_UpperCAmelCase )
           self.assertIn("""token_type_ids"""		,_UpperCAmelCase )






     @require_torch
     def        SCREAMING_SNAKE_CASE__						(							self		:					int )  ->	Tuple:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.canine_tokenizer
           SCREAMING_SNAKE_CASE	=		[
               '''What\'s the weater?''',
               '''It\'s about 25 degrees.''',
           ]
           SCREAMING_SNAKE_CASE	=		tokenizer(
               text_target=_UpperCAmelCase		,max_length=32		,padding="""max_length"""		,truncation=_UpperCAmelCase		,return_tensors="""pt""" )
           self.assertEqual(32		,targets["""input_ids"""].shape[1] )






     def        SCREAMING_SNAKE_CASE__						(							self		:					int )  ->	str:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.get_tokenizers()
           for tokenizer in tokenizers:
                 with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       self.assertNotEqual(tokenizer.model_max_length		,42 )

        # Now let's start the test
           SCREAMING_SNAKE_CASE	=		self.get_tokenizers()
           for tokenizer in tokenizers:
                 with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       # Isolate this from the other tests because we save additional tokens/etc
                       SCREAMING_SNAKE_CASE	=		tempfile.mkdtemp()

                       SCREAMING_SNAKE_CASE	=		''' He is very happy, UNwant\u00E9d,running'''
                       SCREAMING_SNAKE_CASE	=		tokenizer.encode(_UpperCAmelCase		,add_special_tokens=_UpperCAmelCase )
                       tokenizer.save_pretrained(_UpperCAmelCase )

                       SCREAMING_SNAKE_CASE	=		tokenizer.__class__.from_pretrained(_UpperCAmelCase )
                       SCREAMING_SNAKE_CASE	=		after_tokenizer.encode(_UpperCAmelCase		,add_special_tokens=_UpperCAmelCase )
                       self.assertListEqual(_UpperCAmelCase		,_UpperCAmelCase )

                       shutil.rmtree(_UpperCAmelCase )

           SCREAMING_SNAKE_CASE	=		self.get_tokenizers(model_max_length=42 )
           for tokenizer in tokenizers:
                 with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       # Isolate this from the other tests because we save additional tokens/etc
                       SCREAMING_SNAKE_CASE	=		tempfile.mkdtemp()

                       SCREAMING_SNAKE_CASE	=		''' He is very happy, UNwant\u00E9d,running'''

                       SCREAMING_SNAKE_CASE	=		tokenizer.additional_special_tokens

                       # We can add a new special token for Canine as follows:
                       SCREAMING_SNAKE_CASE	=		chr(0Xe_007 )
                       additional_special_tokens.append(_UpperCAmelCase )
                       tokenizer.add_special_tokens({"""additional_special_tokens""": additional_special_tokens} )
                       SCREAMING_SNAKE_CASE	=		tokenizer.encode(_UpperCAmelCase		,add_special_tokens=_UpperCAmelCase )
                       tokenizer.save_pretrained(_UpperCAmelCase )

                       SCREAMING_SNAKE_CASE	=		tokenizer.__class__.from_pretrained(_UpperCAmelCase )
                       SCREAMING_SNAKE_CASE	=		after_tokenizer.encode(_UpperCAmelCase		,add_special_tokens=_UpperCAmelCase )
                       self.assertListEqual(_UpperCAmelCase		,_UpperCAmelCase )
                       self.assertIn(_UpperCAmelCase		,after_tokenizer.additional_special_tokens )
                       self.assertEqual(after_tokenizer.model_max_length		,42 )

                       SCREAMING_SNAKE_CASE	=		tokenizer.__class__.from_pretrained(_UpperCAmelCase		,model_max_length=43 )
                       self.assertEqual(tokenizer.model_max_length		,43 )

                       shutil.rmtree(_UpperCAmelCase )






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[int] )  ->	int:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.get_tokenizers(do_lower_case=_UpperCAmelCase )
           for tokenizer in tokenizers:
                 with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       SCREAMING_SNAKE_CASE	=		self.get_clean_sequence(_UpperCAmelCase )

                       # a special token for Canine can be defined as follows:
                       SCREAMING_SNAKE_CASE	=		0Xe_005
                       SCREAMING_SNAKE_CASE	=		chr(_UpperCAmelCase )

                       tokenizer.add_special_tokens({"""cls_token""": special_token} )
                       SCREAMING_SNAKE_CASE	=		tokenizer.encode(_UpperCAmelCase		,add_special_tokens=_UpperCAmelCase )
                       self.assertEqual(len(_UpperCAmelCase )		,1 )

                       SCREAMING_SNAKE_CASE	=		tokenizer.decode(ids + encoded_special_token		,clean_up_tokenization_spaces=_UpperCAmelCase )
                       SCREAMING_SNAKE_CASE	=		tokenizer.encode(_UpperCAmelCase		,add_special_tokens=_UpperCAmelCase )

                       SCREAMING_SNAKE_CASE	=		tokenizer.encode(_UpperCAmelCase		,add_special_tokens=_UpperCAmelCase )
                       SCREAMING_SNAKE_CASE	=		tokenizer.encode(_UpperCAmelCase		,add_special_tokens=_UpperCAmelCase )
                       self.assertEqual(_UpperCAmelCase		,input_encoded + special_token_id )

                       SCREAMING_SNAKE_CASE	=		tokenizer.decode(_UpperCAmelCase		,skip_special_tokens=_UpperCAmelCase )
                       self.assertTrue(special_token not in decoded )






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any] )  ->	Any:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.get_tokenizers(do_lower_case=_UpperCAmelCase )
           for tokenizer in tokenizers:
                 with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       SCREAMING_SNAKE_CASE	=		chr(0Xe_005 )
                       SCREAMING_SNAKE_CASE	=		chr(0Xe_006 )

                       # `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
                       tokenizer.add_tokens([SPECIAL_TOKEN_1]		,special_tokens=_UpperCAmelCase )
                       # `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
                       # which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
                       tokenizer.add_special_tokens({"""additional_special_tokens""": [SPECIAL_TOKEN_2]} )

                       SCREAMING_SNAKE_CASE	=		tokenizer.tokenize(_UpperCAmelCase )
                       SCREAMING_SNAKE_CASE	=		tokenizer.tokenize(_UpperCAmelCase )

                       self.assertEqual(len(_UpperCAmelCase )		,1 )
                       self.assertEqual(len(_UpperCAmelCase )		,1 )
                       self.assertEqual(token_a[0]		,_UpperCAmelCase )
                       self.assertEqual(token_a[0]		,_UpperCAmelCase )






     @require_tokenizers
     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any] )  ->	str:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.get_tokenizers(do_lower_case=_UpperCAmelCase )
           for tokenizer in tokenizers:
                 with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       # a special token for Canine can be defined as follows:
                       SCREAMING_SNAKE_CASE	=		0Xe_006
                       SCREAMING_SNAKE_CASE	=		chr(_UpperCAmelCase )

                       SCREAMING_SNAKE_CASE	=		AddedToken(_UpperCAmelCase		,lstrip=_UpperCAmelCase )
                       tokenizer.add_special_tokens({"""additional_special_tokens""": [new_token]} )

                       with tempfile.TemporaryDirectory() as tmp_dir_name:
                             tokenizer.save_pretrained(_UpperCAmelCase )
                             tokenizer.from_pretrained(_UpperCAmelCase )






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




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		[]
           if self.test_slow_tokenizer:
                 tokenizer_list.append((self.tokenizer_class, self.get_tokenizer()) )

           if self.test_rust_tokenizer:
                 tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer()) )

           for tokenizer_class, tokenizer_utils in tokenizer_list:
                 with tempfile.TemporaryDirectory() as tmp_dir:
                       tokenizer_utils.save_pretrained(_UpperCAmelCase )

                       with open(os.path.join(_UpperCAmelCase		,"""special_tokens_map.json""" )		,encoding="""utf-8""" ) as json_file:
                             SCREAMING_SNAKE_CASE	=		json.load(_UpperCAmelCase )

                       with open(os.path.join(_UpperCAmelCase		,"""tokenizer_config.json""" )		,encoding="""utf-8""" ) as json_file:
                             SCREAMING_SNAKE_CASE	=		json.load(_UpperCAmelCase )

                       # a special token for Canine can be defined as follows:
                       SCREAMING_SNAKE_CASE	=		0Xe_006
                       SCREAMING_SNAKE_CASE	=		chr(_UpperCAmelCase )

                       SCREAMING_SNAKE_CASE	=		[new_token_a]
                       SCREAMING_SNAKE_CASE	=		[new_token_a]

                       with open(os.path.join(_UpperCAmelCase		,"""special_tokens_map.json""" )		,"""w"""		,encoding="""utf-8""" ) as outfile:
                             json.dump(_UpperCAmelCase		,_UpperCAmelCase )
                       with open(os.path.join(_UpperCAmelCase		,"""tokenizer_config.json""" )		,"""w"""		,encoding="""utf-8""" ) as outfile:
                             json.dump(_UpperCAmelCase		,_UpperCAmelCase )

                       # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
                       # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
                       # "special_tokens_map.json" files
                       SCREAMING_SNAKE_CASE	=		tokenizer_class.from_pretrained(_UpperCAmelCase		,extra_ids=0 )
                       self.assertIn(_UpperCAmelCase		,tokenizer_without_change_in_init.additional_special_tokens )
                       # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
                       self.assertEqual(
                           [new_token_a]		,tokenizer_without_change_in_init.convert_ids_to_tokens(
                               tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a] ) )		,)

                       SCREAMING_SNAKE_CASE	=		0Xe_007
                       SCREAMING_SNAKE_CASE	=		chr(_UpperCAmelCase )
                       # Now we test that we can change the value of additional_special_tokens in the from_pretrained
                       SCREAMING_SNAKE_CASE	=		[AddedToken(_UpperCAmelCase		,lstrip=_UpperCAmelCase )]
                       SCREAMING_SNAKE_CASE	=		tokenizer_class.from_pretrained(
                           _UpperCAmelCase		,additional_special_tokens=_UpperCAmelCase		,extra_ids=0 )

                       self.assertIn(_UpperCAmelCase		,tokenizer.additional_special_tokens )
                       # self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
                       self.assertEqual(
                           [new_token_a]		,tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a] ) ) )






     @require_tokenizers
     def        SCREAMING_SNAKE_CASE__						(							self		:					Union[str, Any] )  ->	int:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.get_tokenizers(do_lower_case=_UpperCAmelCase )
           for tokenizer in tokenizers:
                 with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       SCREAMING_SNAKE_CASE	=		'''hello world'''
                       if self.space_between_special_tokens:
                             SCREAMING_SNAKE_CASE	=		'''[CLS] hello world [SEP]'''
                       else:
                             SCREAMING_SNAKE_CASE	=		input
                       SCREAMING_SNAKE_CASE	=		tokenizer.encode(_UpperCAmelCase		,add_special_tokens=_UpperCAmelCase )
                       SCREAMING_SNAKE_CASE	=		tokenizer.decode(_UpperCAmelCase		,spaces_between_special_tokens=self.space_between_special_tokens )
                       self.assertIn(_UpperCAmelCase		,[output, output.lower()] )






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




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.get_tokenizers()
           for tokenizer in tokenizers:
                 with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       SCREAMING_SNAKE_CASE	=		[
                           '''bos_token''',
                           '''eos_token''',
                           '''unk_token''',
                           '''sep_token''',
                           '''pad_token''',
                           '''cls_token''',
                           '''mask_token''',
                       ]

           SCREAMING_SNAKE_CASE	=		'''a'''
           SCREAMING_SNAKE_CASE	=		ord(_UpperCAmelCase )

           for attr in attributes_list:
                 setattr(_UpperCAmelCase		,attr + """_id"""		,_UpperCAmelCase )
                 self.assertEqual(getattr(_UpperCAmelCase		,_UpperCAmelCase )		,_UpperCAmelCase )
                 self.assertEqual(getattr(_UpperCAmelCase		,attr + """_id""" )		,_UpperCAmelCase )

                 setattr(_UpperCAmelCase		,attr + """_id"""		,_UpperCAmelCase )
                 self.assertEqual(getattr(_UpperCAmelCase		,_UpperCAmelCase )		,_UpperCAmelCase )
                 self.assertEqual(getattr(_UpperCAmelCase		,attr + """_id""" )		,_UpperCAmelCase )

           setattr(_UpperCAmelCase		,"""additional_special_tokens_ids"""		,[] )
           self.assertListEqual(getattr(_UpperCAmelCase		,"""additional_special_tokens""" )		,[] )
           self.assertListEqual(getattr(_UpperCAmelCase		,"""additional_special_tokens_ids""" )		,[] )

           SCREAMING_SNAKE_CASE	=		0Xe_006
           SCREAMING_SNAKE_CASE	=		chr(_UpperCAmelCase )
           setattr(_UpperCAmelCase		,"""additional_special_tokens_ids"""		,[additional_special_token_id] )
           self.assertListEqual(getattr(_UpperCAmelCase		,"""additional_special_tokens""" )		,[additional_special_token] )
           self.assertListEqual(getattr(_UpperCAmelCase		,"""additional_special_tokens_ids""" )		,[additional_special_token_id] )






     def        SCREAMING_SNAKE_CASE__						(							self		:					Any )  ->	Any:




           '''simple docstring'''


           pass






     def        SCREAMING_SNAKE_CASE__						(							self		:					str )  ->	str:




           '''simple docstring'''


           pass






     def        SCREAMING_SNAKE_CASE__						(							self		:					Dict )  ->	Tuple:




           '''simple docstring'''


           pass






     def        SCREAMING_SNAKE_CASE__						(							self		:					Optional[Any] )  ->	Tuple:




           '''simple docstring'''


           pass






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any] )  ->	int:




           '''simple docstring'''


           pass






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[str] )  ->	Optional[int]:




           '''simple docstring'''


           pass






     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any] )  ->	Any:




           '''simple docstring'''


           pass






     def        SCREAMING_SNAKE_CASE__						(							self		:					Dict )  ->	Tuple:




           '''simple docstring'''


           pass









def      __lowercase     (   _SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			)				->     float:


      '''simple docstring'''


      return price * (1 + tax_rate)


if __name__ == "__main__":
      print(F'''{price_plus_tax(1_0_0, 0.25) = }''')
      print(F'''{price_plus_tax(125.50, 0.05) = }''')


