

'''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    A__ ( _snake_case  ,  unittest.TestCase     ):
    lowercase		   =						BlenderbotSmallTokenizer
    lowercase		   =						False



    def    snake_case_     (   self    )  -> int:





           '''simple docstring'''
           super().setUp()

           A_		   = ["""__start__""", """adapt""", """act""", """ap@@""", """te""", """__end__""", """__unk__"""]
           A_		   = dict(zip(UpperCamelCase__						,			range(len(UpperCamelCase__    )    )    )    )

           A_		   = ["""#version: 0.2""", """a p""", """t e</w>""", """ap t</w>""", """a d""", """ad apt</w>""", """a c""", """ac t</w>""", """"""]
           A_		   = {"""unk_token""": """__unk__""", """bos_token""": """__start__""", """eos_token""": """__end__"""}

           A_		   = os.path.join(self.tmpdirname						,			VOCAB_FILES_NAMES["""vocab_file"""]    )
           A_		   = 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(UpperCamelCase__    ) + """\n"""    )
           with open(self.merges_file						,			"""w"""						,			encoding="""utf-8"""    ) as fp:
                  fp.write("""\n""".join(UpperCamelCase__    )    )



    def    snake_case_     (   self						,			**UpperCamelCase__    )  -> Union[str, Any]:





           '''simple docstring'''
           kwargs.update(self.special_tokens_map    )
           return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname						,			**UpperCamelCase__    )



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> Any:





           '''simple docstring'''
           A_		   = """adapt act apte"""
           A_		   = """adapt act apte"""
           return input_text, output_text



    def    snake_case_     (   self    )  -> Any:





           '''simple docstring'''
           A_		   = BlenderbotSmallTokenizer(self.vocab_file						,			self.merges_file						,			**self.special_tokens_map    )
           A_		   = """adapt act apte"""
           A_		   = ["""adapt""", """act""", """ap@@""", """te"""]
           A_		   = tokenizer.tokenize(UpperCamelCase__    )
           self.assertListEqual(UpperCamelCase__						,			UpperCamelCase__    )

           A_		   = [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

           A_		   = [0, 1, 2, 3, 4, 5]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__    )						,			UpperCamelCase__    )



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





           '''simple docstring'''
           A_		   = BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M"""    )
           assert tok("""sam"""    ).input_ids == [1384]
           A_		   = """I am a small frog."""
           A_		   = tok([src_text]						,			padding=UpperCamelCase__						,			truncation=UpperCamelCase__    )["""input_ids"""]
           A_		   = tok.batch_decode(UpperCamelCase__						,			skip_special_tokens=UpperCamelCase__						,			clean_up_tokenization_spaces=UpperCamelCase__    )[0]
           assert src_text != decoded  # I wish it did!
           assert decoded == "i am a small frog ."







    def    snake_case_     (   self    )  -> Any:





           '''simple docstring'''
           A_		   = BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M"""    )
           A_		   = """I am a small frog ."""
           A_		   = """."""
           A_		   = tok(UpperCamelCase__    )["""input_ids"""]
           A_		   = tok(UpperCamelCase__    )["""input_ids"""]

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



'''simple docstring'''







def  UpperCAmelCase__      ( UpperCAmelCase__			)     ->     float:

       if edge <= 0 or not isinstance(UpperCAmelCase__,    UpperCAmelCase__			):
              raise ValueError("""Length must be a positive."""			)
       return 3 * ((25 + 10 * (5 ** (1 / 2))) ** (1 / 2)) * (edge**2)
def  UpperCAmelCase__      ( UpperCAmelCase__			)     ->     float:

       if edge <= 0 or not isinstance(UpperCAmelCase__,    UpperCAmelCase__			):
              raise ValueError("""Length must be a positive."""			)
       return ((15 + (7 * (5 ** (1 / 2)))) / 4) * (edge**3)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
