





"""simple docstring"""


import json
import os
import unittest

from transformers.models.gpt_neox_japanese.tokenization_gpt_neox_japanese import (
    VOCAB_FILES_NAMES,
    GPTNeoXJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class 	__a   (  lowerCAmelCase__	,						unittest.TestCase		):
     SCREAMING_SNAKE_CASE__ :      List[Any]       		=			GPTNeoXJapaneseTokenizer
     SCREAMING_SNAKE_CASE__ :      Any       		=			False
     SCREAMING_SNAKE_CASE__ :      Tuple       		=			{"do_clean_text": False, "add_prefix_space": False}



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

            _lowerCamelCase    	=					[
                '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>',
                '<|startoftext|>',
                '<|endoftext|>',
            ]
            _lowerCamelCase    	=					{'emoji': {'\ud83d\ude00': '<|emoji1|>'}, 'emoji_inv': {'<|emoji1|>': '\ud83d\ude00'}}  # 😀
            _lowerCamelCase    	=					{'unk_token': '<unk>'}

            _lowerCamelCase    	=					os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES['vocab_file']   )
            _lowerCamelCase    	=					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(a__   )   )



     def 						snake_case_			(       self					,     **a__   ):
            kwargs.update(self.special_tokens_map   )
            return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname					,     **a__   )



     def 						snake_case_			(       self					,     a__   ):
            _lowerCamelCase    	=					'こんにちは、世界。 \nこんばんは、㔺界。😀'
            _lowerCamelCase    	=					'こんにちは、世界。 \nこんばんは、世界。😀'
            return input_text, output_text



     def 						snake_case_			(       self					,     a__   ):
            _lowerCamelCase	,	_lowerCamelCase    	=					self.get_input_output_texts(a__   )
            _lowerCamelCase    	=					tokenizer.encode(a__					,     add_special_tokens=a__   )
            _lowerCamelCase    	=					tokenizer.decode(a__					,     clean_up_tokenization_spaces=a__   )
            return text, ids



     def 						snake_case_			(       self   ):
            pass  # TODO add if relevant



     def 						snake_case_			(       self   ):
            pass  # TODO add if relevant



     def 						snake_case_			(       self   ):
            pass  # TODO add if relevant



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					self.get_tokenizer()

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

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

            # Testing conversion to ids with special tokens
            _lowerCamelCase    	=					tokens + [tokenizer.unk_token]
            _lowerCamelCase    	=					[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
            _lowerCamelCase    	=					tokenizer.convert_tokens_to_ids(a__   )
            self.assertListEqual(a__					,     a__   )



     @slow
     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					self.tokenizer_class.from_pretrained('abeja/gpt-neox-japanese-2.7b'   )

            _lowerCamelCase    	=					tokenizer.encode('ありがとう。'					,     add_special_tokens=a__   )
            _lowerCamelCase    	=					tokenizer.encode('どういたしまして。'					,     add_special_tokens=a__   )

            _lowerCamelCase    	=					tokenizer.build_inputs_with_special_tokens(a__   )
            _lowerCamelCase    	=					tokenizer.build_inputs_with_special_tokens(a__					,     a__   )

            assert encoded_sentence == ids_a
            assert encoded_pair == ids_a + ids_a



     def 						snake_case_			(       self   ):
            # Intentionally convert some words to accommodate character fluctuations unique to Japanese
            pass



     def 						snake_case_			(       self   ):
            # tokenizer has no padding token
            pass













"""simple docstring"""


A_     :      Dict								=1_0**8





def SCREAMING_SNAKE_CASE_   (       snake_case   :					int		)->		bool:
       if n % 10 == 0:
              return False
       _lowerCamelCase    	=					str(snake_case		)
       return s == s[::-1]





def SCREAMING_SNAKE_CASE_   (       )->		int:
       _lowerCamelCase    	=					set()
       _lowerCamelCase    	=					1
       _lowerCamelCase    	=					5
       while sum_squares < LIMIT:
              _lowerCamelCase    	=					first_square + 1
              while sum_squares < LIMIT:
                     if is_palindrome(snake_case		):
                            answer.add(snake_case		)
                     last_square += 1
                     sum_squares += last_square**2
              first_square += 1
              _lowerCamelCase    	=					first_square**2 + (first_square + 1) ** 2

       return sum(snake_case		)


if __name__ == "__main__":
      print(solution())






