





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        __magic_name__	(				lowerCamelCase__     ,					unittest.TestCase				):





     """simple docstring"""



     __UpperCamelCase            =  BlenderbotSmallTokenizer
     __UpperCamelCase            =  False



     def     SCREAMING_SNAKE_CASE		(				self							:Dict	):





        '''simple docstring'''




        super().setUp()

        A_       :					Union[str, Any]        =      ["__start__", "adapt", "act", "ap@@", "te", "__end__", "__unk__"]
        A_       :					Union[str, Any]        =      dict(zip(snake_case      ,   range(len(snake_case	)	)	)	)

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

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



     def     SCREAMING_SNAKE_CASE		(				self							:Any      ,   **snake_case							:Optional[Any]	):





        '''simple docstring'''




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



     def     SCREAMING_SNAKE_CASE		(				self							:List[Any]      ,   snake_case							:Optional[Any]	):





        '''simple docstring'''




        A_       :					Optional[int]        =      "adapt act apte"
        A_       :					List[Any]        =      "adapt act apte"
        return input_text, output_text



     def     SCREAMING_SNAKE_CASE		(				self							:Dict	):





        '''simple docstring'''




        A_       :					str        =      BlenderbotSmallTokenizer(self.vocab_file      ,   self.merges_file      ,   **self.special_tokens_map	)
        A_       :					Union[str, Any]        =      "adapt act apte"
        A_       :					Any        =      ["adapt", "act", "ap@@", "te"]
        A_       :					Tuple        =      tokenizer.tokenize(snake_case	)
        self.assertListEqual(snake_case      ,   snake_case	)

        A_       :					List[Any]        =      [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

        A_       :					Union[str, Any]        =      [0, 1, 2, 3, 4, 5]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case	)      ,   snake_case	)



     def     SCREAMING_SNAKE_CASE		(				self							:List[Any]	):





        '''simple docstring'''




        A_       :					Union[str, Any]        =      BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"	)
        assert tok("sam"	).input_ids == [1_384]
        A_       :					Optional[int]        =      "I am a small frog."
        A_       :					List[Any]        =      tok([src_text]      ,   padding=snake_case      ,   truncation=snake_case	)["input_ids"]
        A_       :					List[str]        =      tok.batch_decode(snake_case      ,   skip_special_tokens=snake_case      ,   clean_up_tokenization_spaces=snake_case	)[0]
        assert src_text != decoded  # I wish it did!
        assert decoded == "i am a small frog ."





     def     SCREAMING_SNAKE_CASE		(				self							:List[str]	):





        '''simple docstring'''




        A_       :					List[str]        =      BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"	)
        A_       :					int        =      "I am a small frog ."
        A_       :					Dict        =      "."
        A_       :					Optional[int]        =      tok(snake_case	)["input_ids"]
        A_       :					Dict        =      tok(snake_case	)["input_ids"]

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







def   __snake_case    (       _lowerCAmelCase			:			int						)			->    bool:
   if num < 0:
      return False

   A_       :					int        =      num
   A_       :					int        =      0
   while num > 0:
      A_       :					str        =      rev_num * 10 + (num % 10)
      num //= 10

   return num_copy == rev_num


if __name__ == "__main__":
 import doctest

 doctest.testmod()
