




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			(       UpperCamelCase__      ,							unittest.TestCase       ):




    """simple docstring"""

    snake_case__   = BlenderbotSmallTokenizer
    snake_case__   = False


    def   a (			self	:	List[str]  ) ->			List[str]:
         super().setUp()

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

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

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


    def   a (			self	:	Any  ,      **SCREAMING_SNAKE_CASE__	:	Union[str, Any]  ) ->			List[Any]:
         kwargs.update(self.special_tokens_map  )
         return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname  ,      **SCREAMING_SNAKE_CASE__  )


    def   a (			self	:	str  ,      SCREAMING_SNAKE_CASE__	:	Any  ) ->			Optional[Any]:
         lowerCAmelCase__            =					"adapt act apte"
         lowerCAmelCase__            =					"adapt act apte"
         return input_text, output_text


    def   a (			self	:	Dict  ) ->			Tuple:
         lowerCAmelCase__            =					BlenderbotSmallTokenizer(self.vocab_file  ,      self.merges_file  ,      **self.special_tokens_map  )
         lowerCAmelCase__            =					"adapt act apte"
         lowerCAmelCase__            =					["adapt", "act", "ap@@", "te"]
         lowerCAmelCase__            =					tokenizer.tokenize(SCREAMING_SNAKE_CASE__  )
         self.assertListEqual(SCREAMING_SNAKE_CASE__  ,      SCREAMING_SNAKE_CASE__  )

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

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


    def   a (			self	:	Optional[int]  ) ->			Tuple:
         lowerCAmelCase__            =					BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"  )
         assert tok("sam"  ).input_ids == [1_384]
         lowerCAmelCase__            =					"I am a small frog."
         lowerCAmelCase__            =					tok([src_text]  ,      padding=SCREAMING_SNAKE_CASE__  ,      truncation=SCREAMING_SNAKE_CASE__  )["input_ids"]
         lowerCAmelCase__            =					tok.batch_decode(SCREAMING_SNAKE_CASE__  ,      skip_special_tokens=SCREAMING_SNAKE_CASE__  ,      clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE__  )[0]
         assert src_text != decoded  # I wish it did!
         assert decoded == "i am a small frog ."


    def   a (			self	:	Optional[Any]  ) ->			int:
         lowerCAmelCase__            =					BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"  )
         lowerCAmelCase__            =					"I am a small frog ."
         lowerCAmelCase__            =					"."
         lowerCAmelCase__            =					tok(SCREAMING_SNAKE_CASE__  )["input_ids"]
         lowerCAmelCase__            =					tok(SCREAMING_SNAKE_CASE__  )["input_ids"]

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








"""simple docstring"""



def 	SCREAMING_SNAKE_CASE__       (  snake_case       : Tuple				)->		str:






     '''simple docstring'''



     UpperCAmelCase__						:    List[str]							=							len(snake_case				)
     for i in range(length - 1				):
          UpperCAmelCase__						:    Any							=							i
          for k in range(i + 1			,					snake_case				):
               if collection[k] < collection[least]:
                    UpperCAmelCase__						:    Union[str, Any]							=							k
          if least != i:
               UpperCAmelCase__							,				UpperCAmelCase__						:    Union[str, Any]							=							(collection[i], collection[least])
     return collection


if __name__ == "__main__":
 _lowerCAmelCase	:	List[str]				=      input("""Enter numbers separated by a comma:\n""").strip()
 _lowerCAmelCase	:	Optional[int]				=      [int(item) for item in user_input.split(""",""")]
 print(selection_sort(unsorted))


