
'''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  UpperCAmelCase__						(       A						,	unittest.TestCase ):
    lowerCAmelCase_				    =		BlenderbotSmallTokenizer
    lowerCAmelCase_				    =		False



    def   lowerCamelCase_  (	self      :       List[Any]     ):
          super().setUp()

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

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

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



    def   lowerCamelCase_  (	self      :       Dict,**__A      :       Optional[int]     ):
          kwargs.update(self.special_tokens_map     )
          return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname,**__A     )



    def   lowerCamelCase_  (	self      :       Dict,__A      :       str     ):
          _lowerCamelCase				:   Any								=   "adapt act apte"
          _lowerCamelCase				:   List[str]								=   "adapt act apte"
          return input_text, output_text



    def   lowerCamelCase_  (	self      :       Dict     ):
          _lowerCamelCase				:   Tuple								=   BlenderbotSmallTokenizer(self.vocab_file,self.merges_file,**self.special_tokens_map     )
          _lowerCamelCase				:   Any								=   "adapt act apte"
          _lowerCamelCase				:   Optional[Any]								=   ["adapt", "act", "ap@@", "te"]
          _lowerCamelCase				:   Any								=   tokenizer.tokenize(__A     )
          self.assertListEqual(__A,__A     )

          _lowerCamelCase				:   Optional[int]								=   [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

          _lowerCamelCase				:   List[str]								=   [0, 1, 2, 3, 4, 5]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(__A     ),__A     )



    def   lowerCamelCase_  (	self      :       Tuple     ):
          _lowerCamelCase				:   List[Any]								=   BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"     )
          assert tok("sam"     ).input_ids == [1_3_8_4]
          _lowerCamelCase				:   Optional[Any]								=   "I am a small frog."
          _lowerCamelCase				:   Union[str, Any]								=   tok([src_text],padding=__A,truncation=__A     )["input_ids"]
          _lowerCamelCase				:   List[str]								=   tok.batch_decode(__A,skip_special_tokens=__A,clean_up_tokenization_spaces=__A     )[0]
          assert src_text != decoded  # I wish it did!
          assert decoded == "i am a small frog ."



    def   lowerCamelCase_  (	self      :       Dict     ):
          _lowerCamelCase				:   Tuple								=   BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"     )
          _lowerCamelCase				:   Dict								=   "I am a small frog ."
          _lowerCamelCase				:   Any								=   "."
          _lowerCamelCase				:   Any								=   tok(__A     )["input_ids"]
          _lowerCamelCase				:   Optional[Any]								=   tok(__A     )["input_ids"]

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

'''simple docstring'''






def 		A_       (	_lowerCAmelCase   :    float							):



      """simple docstring"""




      return 10 - x * x







def 		A_       (	_lowerCAmelCase   :    float				,	_lowerCAmelCase   :    float							):



      """simple docstring"""




      if equation(_lowerCAmelCase							) * equation(_lowerCAmelCase							) >= 0:
            raise ValueError("Wrong space!"							)

      _lowerCamelCase				:   List[str]								=   a
      while (b - a) >= 0.0_1:
            # Find middle point
            _lowerCamelCase				:   Union[str, Any]								=   (a + b) / 2
            # Check if middle point is root
            if equation(_lowerCAmelCase							) == 0.0:
                  break
            # Decide the side to repeat the steps
            if equation(_lowerCAmelCase							) * equation(_lowerCAmelCase							) < 0:
                  _lowerCamelCase				:   Union[str, Any]								=   c
            else:
                  _lowerCamelCase				:   Any								=   c
      return c


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 print(bisection(-2, 5))
 print(bisection(0, 6))