





"""simple docstring"""



import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin






class 						__snake_case   (						SCREAMING_SNAKE_CASE__				,				unittest.TestCase	):





 """simple docstring"""


 _lowerCamelCase								=	BlenderbotSmallTokenizer
 _lowerCamelCase								=	False

 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     super().setUp()

     __A       :		List[str]							=	['''__start__''', '''adapt''', '''act''', '''ap@@''', '''te''', '''__end__''', '''__unk__''']
     __A       :		List[Any]							=	dict(zip(__lowerCamelCase   ,		range(len(__lowerCamelCase    )    )    )    )

     __A       :		List[str]							=	['''#version: 0.2''', '''a p''', '''t e</w>''', '''ap t</w>''', '''a d''', '''ad apt</w>''', '''a c''', '''ac t</w>''', '''''']
     __A       :		List[Any]							=	{'''unk_token''': '''__unk__''', '''bos_token''': '''__start__''', '''eos_token''': '''__end__'''}

     __A       :		List[Any]							=	os.path.join(self.tmpdirname   ,		VOCAB_FILES_NAMES['''vocab_file''']    )
     __A       :		Dict							=	os.path.join(self.tmpdirname   ,		VOCAB_FILES_NAMES['''merges_file''']    )
     with open(self.vocab_file   ,		'''w'''   ,		encoding='''utf-8'''    ) as fp:
         fp.write(json.dumps(__lowerCamelCase    ) + '''\n'''    )
     with open(self.merges_file   ,		'''w'''   ,		encoding='''utf-8'''    ) as fp:
         fp.write('''\n'''.join(__lowerCamelCase    )    )

 def    UpperCamelCase__(       self   ,		**__lowerCamelCase    ):



     '''simple docstring'''




     kwargs.update(self.special_tokens_map    )
     return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname   ,		**__lowerCamelCase    )

 def    UpperCamelCase__(       self   ,		__lowerCamelCase    ):



     '''simple docstring'''




     __A       :		Tuple							=	'''adapt act apte'''
     __A       :		Union[str, Any]							=	'''adapt act apte'''
     return input_text, output_text

 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     __A       :		Union[str, Any]							=	BlenderbotSmallTokenizer(self.vocab_file   ,		self.merges_file   ,		**self.special_tokens_map    )
     __A       :		Any							=	'''adapt act apte'''
     __A       :		Union[str, Any]							=	['''adapt''', '''act''', '''ap@@''', '''te''']
     __A       :		Optional[Any]							=	tokenizer.tokenize(__lowerCamelCase    )
     self.assertListEqual(__lowerCamelCase   ,		__lowerCamelCase    )

     __A       :		Tuple							=	[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

     __A       :		int							=	[0, 1, 2, 3, 4, 5]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase    )   ,		__lowerCamelCase    )

 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     __A       :		Union[str, Any]							=	BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''    )
     assert tok('''sam'''    ).input_ids == [1384]
     __A       :		List[Any]							=	'''I am a small frog.'''
     __A       :		List[Any]							=	tok([src_text]   ,		padding=__lowerCamelCase   ,		truncation=__lowerCamelCase    )['''input_ids''']
     __A       :		Tuple							=	tok.batch_decode(__lowerCamelCase   ,		skip_special_tokens=__lowerCamelCase   ,		clean_up_tokenization_spaces=__lowerCamelCase    )[0]
     assert src_text != decoded  # I wish it did!
     assert decoded == "i am a small frog ."







 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     __A       :		int							=	BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''    )
     __A       :		Optional[int]							=	'''I am a small frog .'''
     __A       :		Any							=	'''.'''
     __A       :		Dict							=	tok(__lowerCamelCase    )['''input_ids''']
     __A       :		Tuple							=	tok(__lowerCamelCase    )['''input_ids''']

     assert encoded[-1] == encoded_dot[0]











"""simple docstring"""



from collections import namedtuple

a_					=     namedtuple("""from_to""", """from_ to""")

a_					=     {
    """cubicmeter""": from_to(1, 1),
    """litre""": from_to(0.001, 1000),
    """kilolitre""": from_to(1, 1),
    """gallon""": from_to(0.00454, 264.172),
    """cubicyard""": from_to(0.76455, 1.30795),
    """cubicfoot""": from_to(0.028, 35.3147),
    """cup""": from_to(0.000236588, 4226.75),
}







def 						__lowercase	(  snake_case_    :    float							,snake_case_    :    str							,snake_case_    :    str		)  ->float:



    '''simple docstring'''







    if from_type not in METRIC_CONVERSION:
        raise ValueError(
            F"""Invalid 'from_type' value: {from_type!r}  Supported values are:\n"""
            + ''', '''.join(snake_case_		)		)
    if to_type not in METRIC_CONVERSION:
        raise ValueError(
            F"""Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"""
            + ''', '''.join(snake_case_		)		)
    return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
       import doctest

       doctest.testmod()




