




'''simple docstring'''



import json
import os
import unittest

from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
    VOCAB_FILES_NAMES,
    GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class 		lowercase_   (			A					,  unittest.TestCase       ):


   """simple docstring"""

   lowerCamelCase_      =						GPTSanJapaneseTokenizer
   lowerCamelCase_      =						False
   lowerCamelCase_      =						{'''do_clean_text''': False, '''add_prefix_space''': False}



   def 							lowerCAmelCase_      (   self :     Optional[Any]   ):

      """simple docstring"""
      super().setUp()

      # fmt: off
      _SCREAMING_SNAKE_CASE	=				["こん", "こんに", "にちは", "ばんは", "世界,㔺界", "、", "。", "<BR>", "<SP>", "<TAB>", "<URL>", "<EMAIL>", "<TEL>", "<DATE>", "<PRICE>", "<BLOCK>", "<KIGOU>", "<U2000U2BFF>", "<|emoji1|>", "<unk>", "<|bagoftoken|>", "<|endoftext|>"]
      # fmt: on
      _SCREAMING_SNAKE_CASE	=				{"emoji": {"\ud83d\ude00": "<|emoji1|>"}, "emoji_inv": {"<|emoji1|>": "\ud83d\ude00"}}  # 😀
      _SCREAMING_SNAKE_CASE	=				{"unk_token": "<unk>"}

      _SCREAMING_SNAKE_CASE	=				os.path.join(self.tmpdirname  ,				VOCAB_FILES_NAMES["vocab_file"]   )
      _SCREAMING_SNAKE_CASE	=				os.path.join(self.tmpdirname  ,				VOCAB_FILES_NAMES["emoji_file"]   )
      with open(self.vocab_file  ,				"w"  ,				encoding="utf-8"   ) as vocab_writer:
         vocab_writer.write("".join([x + "\n" for x in vocab_tokens]   )   )
      with open(self.emoji_file  ,				"w"   ) as emoji_writer:
         emoji_writer.write(json.dumps(__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     Dict  ,				**__lowerCamelCase :     int   ):

      """simple docstring"""
      kwargs.update(self.special_tokens_map   )
      return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname  ,				**__lowerCamelCase   )



   def 							lowerCAmelCase_      (   self :     str  ,				__lowerCamelCase :     Union[str, Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				"こんにちは、世界。 \nこんばんは、㔺界。😀"
      _SCREAMING_SNAKE_CASE	=				"こんにちは、世界。 \nこんばんは、世界。😀"
      return input_text, output_text



   def 							lowerCAmelCase_      (   self :     int  ,				__lowerCamelCase :     Any   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.get_input_output_texts(__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				tokenizer.encode(__lowerCamelCase  ,				add_special_tokens=__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				tokenizer.decode(__lowerCamelCase  ,				clean_up_tokenization_spaces=__lowerCamelCase   )
      return text, ids



   def 							lowerCAmelCase_      (   self :     Tuple   ):

      """simple docstring"""
      pass  # TODO add if relevant



   def 							lowerCAmelCase_      (   self :     Union[str, Any]   ):

      """simple docstring"""
      pass  # TODO add if relevant



   def 							lowerCAmelCase_      (   self :     Dict   ):

      """simple docstring"""
      pass  # TODO add if relevant



   def 							lowerCAmelCase_      (   self :     str   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.get_tokenizer()

      # Testing tokenization
      _SCREAMING_SNAKE_CASE	=				"こんにちは、世界。　こんばんは、㔺界。"
      _SCREAMING_SNAKE_CASE	=				["こん", "にちは", "、", "世界", "。", "<SP>", "こん", "ばんは", "、", "㔺界", "。"]
      _SCREAMING_SNAKE_CASE	=				tokenizer.tokenize(__lowerCamelCase   )
      self.assertListEqual(__lowerCamelCase  ,				__lowerCamelCase   )

      # Testing conversion to ids without special tokens
      _SCREAMING_SNAKE_CASE	=				[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
      _SCREAMING_SNAKE_CASE	=				tokenizer.convert_tokens_to_ids(__lowerCamelCase   )
      self.assertListEqual(__lowerCamelCase  ,				__lowerCamelCase   )

      # Testing conversion to ids with special tokens
      _SCREAMING_SNAKE_CASE	=				tokens + [tokenizer.unk_token]
      _SCREAMING_SNAKE_CASE	=				[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
      _SCREAMING_SNAKE_CASE	=				tokenizer.convert_tokens_to_ids(__lowerCamelCase   )
      self.assertListEqual(__lowerCamelCase  ,				__lowerCamelCase   )



   def 							lowerCAmelCase_      (   self :     Optional[Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.get_tokenizer()

      # Testing tokenization
      _SCREAMING_SNAKE_CASE	=				"こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。"
      _SCREAMING_SNAKE_CASE	=				"こんにちは、、、、世界。こんばんは、、、、世界。"
      _SCREAMING_SNAKE_CASE	=				tokenizer.encode(__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				tokenizer.decode(__lowerCamelCase   )
      self.assertEqual(__lowerCamelCase  ,				__lowerCamelCase   )



   @slow
   def 							lowerCAmelCase_      (   self :     List[Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"   )

      # Testing tokenization
      _SCREAMING_SNAKE_CASE	=				"こんにちは、世界。"
      _SCREAMING_SNAKE_CASE	=				"こんばんは、㔺界。😀"
      _SCREAMING_SNAKE_CASE	=				"こんにちは、世界。こんばんは、世界。😀"
      _SCREAMING_SNAKE_CASE	=				tokenizer.encode(prefix_text + input_text   )
      _SCREAMING_SNAKE_CASE	=				tokenizer.encode(""  ,				prefix_text=prefix_text + input_text   )
      _SCREAMING_SNAKE_CASE	=				tokenizer.encode(__lowerCamelCase  ,				prefix_text=__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				tokenizer.decode(__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				tokenizer.decode(__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				tokenizer.decode(__lowerCamelCase   )
      self.assertEqual(__lowerCamelCase  ,				__lowerCamelCase   )
      self.assertEqual(__lowerCamelCase  ,				__lowerCamelCase   )
      self.assertEqual(__lowerCamelCase  ,				__lowerCamelCase   )



   @slow
   def 							lowerCAmelCase_      (   self :     Optional[Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"   )

      # Testing tokenization
      _SCREAMING_SNAKE_CASE	=				"こんにちは、世界。"
      _SCREAMING_SNAKE_CASE	=				"こんばんは、㔺界。😀"

      _SCREAMING_SNAKE_CASE	=				len(tokenizer.encode(__lowerCamelCase   )   ) - 2
      _SCREAMING_SNAKE_CASE	=				len(tokenizer.encode(__lowerCamelCase   )   ) - 2

      _SCREAMING_SNAKE_CASE	=				[1] + [0] * (len_prefix + len_text + 1)
      _SCREAMING_SNAKE_CASE	=				[1] * (len_prefix + len_text + 1) + [0]
      _SCREAMING_SNAKE_CASE	=				[1] + [1] * (len_prefix) + [0] * (len_text + 1)

      _SCREAMING_SNAKE_CASE	=				tokenizer(prefix_text + input_text   ).token_type_ids
      _SCREAMING_SNAKE_CASE	=				tokenizer(""  ,				prefix_text=prefix_text + input_text   ).token_type_ids
      _SCREAMING_SNAKE_CASE	=				tokenizer(__lowerCamelCase  ,				prefix_text=__lowerCamelCase   ).token_type_ids
      self.assertListEqual(__lowerCamelCase  ,				__lowerCamelCase   )
      self.assertListEqual(__lowerCamelCase  ,				__lowerCamelCase   )
      self.assertListEqual(__lowerCamelCase  ,				__lowerCamelCase   )



   @slow
   def 							lowerCAmelCase_      (   self :     Dict   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"   )

      _SCREAMING_SNAKE_CASE	=				tokenizer.encode("あンいワ"   )
      _SCREAMING_SNAKE_CASE	=				tokenizer.encode(""  ,				prefix_text="あンいワ"   )
      _SCREAMING_SNAKE_CASE	=				tokenizer.encode("いワ"  ,				prefix_text="あン"   )

      self.assertEqual(tokenizer.decode(__lowerCamelCase   )  ,				tokenizer.decode(__lowerCamelCase   )   )
      self.assertEqual(tokenizer.decode(__lowerCamelCase   )  ,				tokenizer.decode(__lowerCamelCase   )   )
      self.assertNotEqual(__lowerCamelCase  ,				__lowerCamelCase   )
      self.assertNotEqual(__lowerCamelCase  ,				__lowerCamelCase   )
      self.assertEqual(x_token_a[1]  ,				x_token_a[-1]   )  # SEG token
      self.assertEqual(x_token_a[1]  ,				x_token_a[3]   )  # SEG token



   @slow
   def 							lowerCAmelCase_      (   self :     int   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"   )

      _SCREAMING_SNAKE_CASE	=				[["武田信玄", "は、"], ["織田信長", "の配下の、"]]
      _SCREAMING_SNAKE_CASE	=				tokenizer(__lowerCamelCase  ,				padding=__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				tokenizer.batch_encode_plus(__lowerCamelCase  ,				padding=__lowerCamelCase   )

      # fmt: off
      _SCREAMING_SNAKE_CASE	=				[[3_5_9_9_3, 8_6_4_0, 2_5_9_4_8, 3_5_9_9_8, 3_0_6_4_7, 3_5_6_7_5, 3_5_9_9_9, 3_5_9_9_9], [3_5_9_9_3, 1_0_3_8_2, 9_8_6_8, 3_5_9_9_8, 3_0_6_4_6, 9_4_5_9, 3_0_6_4_6, 3_5_6_7_5]]
      _SCREAMING_SNAKE_CASE	=				[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
      _SCREAMING_SNAKE_CASE	=				[[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
      # fmt: on
      self.assertListEqual(x_token.input_ids  ,				__lowerCamelCase   )
      self.assertListEqual(x_token.token_type_ids  ,				__lowerCamelCase   )
      self.assertListEqual(x_token.attention_mask  ,				__lowerCamelCase   )
      self.assertListEqual(x_token_a.input_ids  ,				__lowerCamelCase   )
      self.assertListEqual(x_token_a.token_type_ids  ,				__lowerCamelCase   )
      self.assertListEqual(x_token_a.attention_mask  ,				__lowerCamelCase   )



   def 							lowerCAmelCase_      (   self :     int   ):

      """simple docstring"""
      # Intentionally convert some words to accommodate character fluctuations unique to Japanese
      pass



   def 							lowerCAmelCase_      (   self :     List[str]   ):

      """simple docstring"""
      # tokenizer has no padding token
      pass







'''simple docstring'''



def 			SCREAMING_SNAKE_CASE_			(							__A    :			list  )			->			list:
   if len(__A  ) <= 1:
      return lst

   _SCREAMING_SNAKE_CASE	=				1

   while i < len(__A  ):
      if lst[i - 1] <= lst[i]:
         i += 1
      else:
         _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				lst[i], lst[i - 1]
         i -= 1
         if i == 0:
            _SCREAMING_SNAKE_CASE	=				1

   return lst


if __name__ == "__main__":
 lowerCamelCase_			=						input('Enter numbers separated by a comma:\n').strip()
 lowerCamelCase_			=						[int(item) for item in user_input.split(',')]
 print(gnome_sort(unsorted))

