


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        lowerCAmelCase__ (					_A,							unittest.TestCase  ):






						"""simple docstring"""
						__UpperCAmelCase       :						Optional[Any]    	=			BlenderbotSmallTokenizer
						__UpperCAmelCase       :						List[str]    	=			False




						def 	_UpperCamelCase					(       self      ):
							super().setUp()

							lowerCamelCase_					:				int              =  ["__start__", "adapt", "act", "ap@@", "te", "__end__", "__unk__"]
							lowerCamelCase_					:				int              =  dict(zip(__lowerCAmelCase ,				range(len(__lowerCAmelCase      )      )      )      )

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

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




						def 	_UpperCamelCase					(       self ,				**a_      ):
							kwargs.update(self.special_tokens_map      )
							return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname ,				**__lowerCAmelCase      )




						def 	_UpperCamelCase					(       self ,				a_      ):
							lowerCamelCase_					:				Optional[int]              =  "adapt act apte"
							lowerCamelCase_					:				Any              =  "adapt act apte"
							return input_text, output_text




						def 	_UpperCamelCase					(       self      ):
							lowerCamelCase_					:				str              =  BlenderbotSmallTokenizer(self.vocab_file ,				self.merges_file ,				**self.special_tokens_map      )
							lowerCamelCase_					:				str              =  "adapt act apte"
							lowerCamelCase_					:				Dict              =  ["adapt", "act", "ap@@", "te"]
							lowerCamelCase_					:				int              =  tokenizer.tokenize(__lowerCAmelCase      )
							self.assertListEqual(__lowerCAmelCase ,				__lowerCAmelCase      )

							lowerCamelCase_					:				Union[str, Any]              =  [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

							lowerCamelCase_					:				str              =  [0, 1, 2, 3, 4, 5]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase      ) ,				__lowerCAmelCase      )




						def 	_UpperCamelCase					(       self      ):
							lowerCamelCase_					:				Union[str, Any]              =  BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"      )
							assert tok("sam"      ).input_ids == [1384]
							lowerCamelCase_					:				Optional[Any]              =  "I am a small frog."
							lowerCamelCase_					:				Tuple              =  tok([src_text] ,				padding=__lowerCAmelCase ,				truncation=__lowerCAmelCase      )["input_ids"]
							lowerCamelCase_					:				Union[str, Any]              =  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      ):
							lowerCamelCase_					:				Any              =  BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"      )
							lowerCamelCase_					:				str              =  "I am a small frog ."
							lowerCamelCase_					:				List[Any]              =  "."
							lowerCamelCase_					:				List[Any]              =  tok(__lowerCAmelCase      )["input_ids"]
							lowerCamelCase_					:				List[str]              =  tok(__lowerCAmelCase      )["input_ids"]

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






import itertools
import math

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:int				)  ->     bool:

   if 1 < number < 4:
      # 2 and 3 are primes
      return True
   elif number < 2 or number % 2 == 0 or number % 3 == 0:
      # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
      return False

   # All primes number are in format of 6k +/- 1
   for i in range(5	,   int(math.sqrt(_snake_case				) + 1				)	,   6				):
      if number % i == 0 or number % (i + 2) == 0:
         return False
   return True

def 	SCREAMING_SNAKE_CASE_							(	)  ->     Dict:
   _A      =       2
   while True:
      if is_prime(_snake_case				):
         yield num
      num += 1

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:int = 10_001				)  ->     int:
   return next(itertools.islice(prime_generator()	,   nth - 1	,   _snake_case				)				)


if __name__ == "__main__":
   print(f'{solution() = }')



