
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       ):
       __lowerCamelCase				       =						GPTSanJapaneseTokenizer
       __lowerCamelCase				       =						False
       __lowerCamelCase				       =						{'''do_clean_text''': False, '''add_prefix_space''': False}


       def 	_snake_case				(    self				)						->    Optional[Any]:
              super().setUp()

              # fmt: off
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=['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_							:				Optional[Any]		={'emoji': {'\ud83d\ude00': '<|emoji1|>'}, 'emoji_inv': {'<|emoji1|>': '\ud83d\ude00'}}  # 😀
              SCREAMING_SNAKE_CASE_							:				Tuple		={'unk_token': '<unk>'}

              SCREAMING_SNAKE_CASE_							:				Any		=os.path.join(self.tmpdirname						,       VOCAB_FILES_NAMES['''vocab_file''']				)
              SCREAMING_SNAKE_CASE_							:				List[str]		=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				)						->    str:
              kwargs.update(self.special_tokens_map				)
              return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname						,       **__A				)


       def 	_snake_case				(    self						,       __A				)						->    Optional[Any]:
              SCREAMING_SNAKE_CASE_							:				List[Any]		='こんにちは、世界。 \nこんばんは、㔺界。😀'
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		='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				)						->    int:
              SCREAMING_SNAKE_CASE_							:				str		=self.get_input_output_texts(__A				)
              SCREAMING_SNAKE_CASE_							:				str		=tokenizer.encode(__A						,       add_special_tokens=__A				)
              SCREAMING_SNAKE_CASE_							:				Tuple		=tokenizer.decode(__A						,       clean_up_tokenization_spaces=__A				)
              return text, ids


       def 	_snake_case				(    self				)						->    Union[str, Any]:
              pass  # TODO add if relevant


       def 	_snake_case				(    self				)						->    Union[str, Any]:
              pass  # TODO add if relevant


       def 	_snake_case				(    self				)						->    Optional[Any]:
              pass  # TODO add if relevant


       def 	_snake_case				(    self				)						->    str:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=self.get_tokenizer()

              # Testing tokenization
              SCREAMING_SNAKE_CASE_							:				int		='こんにちは、世界。　こんばんは、㔺界。'
              SCREAMING_SNAKE_CASE_							:				str		=['こん', 'にちは', '、', '世界', '。', '<SP>', 'こん', 'ばんは', '、', '㔺界', '。']
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=tokenizer.tokenize(__A				)
              self.assertListEqual(__A						,       __A				)

              # Testing conversion to ids without special tokens
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
              SCREAMING_SNAKE_CASE_							:				List[Any]		=tokenizer.convert_tokens_to_ids(__A				)
              self.assertListEqual(__A						,       __A				)

              # Testing conversion to ids with special tokens
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=tokens + [tokenizer.unk_token]
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
              SCREAMING_SNAKE_CASE_							:				List[Any]		=tokenizer.convert_tokens_to_ids(__A				)
              self.assertListEqual(__A						,       __A				)


       def 	_snake_case				(    self				)						->    Any:
              SCREAMING_SNAKE_CASE_							:				int		=self.get_tokenizer()

              # Testing tokenization
              SCREAMING_SNAKE_CASE_							:				int		='こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。'
              SCREAMING_SNAKE_CASE_							:				List[str]		='こんにちは、、、、世界。こんばんは、、、、世界。'
              SCREAMING_SNAKE_CASE_							:				str		=tokenizer.encode(__A				)
              SCREAMING_SNAKE_CASE_							:				str		=tokenizer.decode(__A				)
              self.assertEqual(__A						,       __A				)


       @slow
       def 	_snake_case				(    self				)						->    Tuple:
              SCREAMING_SNAKE_CASE_							:				List[str]		=self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''				)

              # Testing tokenization
              SCREAMING_SNAKE_CASE_							:				List[Any]		='こんにちは、世界。'
              SCREAMING_SNAKE_CASE_							:				Dict		='こんばんは、㔺界。😀'
              SCREAMING_SNAKE_CASE_							:				List[Any]		='こんにちは、世界。こんばんは、世界。😀'
              SCREAMING_SNAKE_CASE_							:				Tuple		=tokenizer.encode(prefix_text + input_text				)
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=tokenizer.encode(''''''						,       prefix_text=prefix_text + input_text				)
              SCREAMING_SNAKE_CASE_							:				int		=tokenizer.encode(__A						,       prefix_text=__A				)
              SCREAMING_SNAKE_CASE_							:				List[str]		=tokenizer.decode(__A				)
              SCREAMING_SNAKE_CASE_							:				Any		=tokenizer.decode(__A				)
              SCREAMING_SNAKE_CASE_							:				Any		=tokenizer.decode(__A				)
              self.assertEqual(__A						,       __A				)
              self.assertEqual(__A						,       __A				)
              self.assertEqual(__A						,       __A				)


       @slow
       def 	_snake_case				(    self				)						->    int:
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''				)

              # Testing tokenization
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		='こんにちは、世界。'
              SCREAMING_SNAKE_CASE_							:				Dict		='こんばんは、㔺界。😀'

              SCREAMING_SNAKE_CASE_							:				str		=len(tokenizer.encode(__A				)				) - 2
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=len(tokenizer.encode(__A				)				) - 2

              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=[1] + [0] * (len_prefix + len_text + 1)
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=[1] * (len_prefix + len_text + 1) + [0]
              SCREAMING_SNAKE_CASE_							:				List[str]		=[1] + [1] * (len_prefix) + [0] * (len_text + 1)

              SCREAMING_SNAKE_CASE_							:				List[Any]		=tokenizer(prefix_text + input_text				).token_type_ids
              SCREAMING_SNAKE_CASE_							:				Tuple		=tokenizer(''''''						,       prefix_text=prefix_text + input_text				).token_type_ids
              SCREAMING_SNAKE_CASE_							:				List[str]		=tokenizer(__A						,       prefix_text=__A				).token_type_ids
              self.assertListEqual(__A						,       __A				)
              self.assertListEqual(__A						,       __A				)
              self.assertListEqual(__A						,       __A				)


       @slow
       def 	_snake_case				(    self				)						->    List[str]:
              SCREAMING_SNAKE_CASE_							:				List[str]		=self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''				)

              SCREAMING_SNAKE_CASE_							:				str		=tokenizer.encode('''あンいワ'''				)
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=tokenizer.encode(''''''						,       prefix_text='''あンいワ'''				)
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=tokenizer.encode('''いワ'''						,       prefix_text='''あン'''				)

              self.assertEqual(tokenizer.decode(__A				)						,       tokenizer.decode(__A				)				)
              self.assertEqual(tokenizer.decode(__A				)						,       tokenizer.decode(__A				)				)
              self.assertNotEqual(__A						,       __A				)
              self.assertNotEqual(__A						,       __A				)
              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 	_snake_case				(    self				)						->    List[str]:
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''				)

              SCREAMING_SNAKE_CASE_							:				Any		=[['武田信玄', 'は、'], ['織田信長', 'の配下の、']]
              SCREAMING_SNAKE_CASE_							:				Any		=tokenizer(__A						,       padding=__A				)
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=tokenizer.batch_encode_plus(__A						,       padding=__A				)

              # fmt: off
              SCREAMING_SNAKE_CASE_							:				int		=[[35_993, 8_640, 25_948, 35_998, 30_647, 35_675, 35_999, 35_999], [35_993, 10_382, 9_868, 35_998, 30_646, 9_459, 30_646, 35_675]]
              SCREAMING_SNAKE_CASE_							:				str		=[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
              SCREAMING_SNAKE_CASE_							:				List[Any]		=[[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
              # fmt: on
              self.assertListEqual(x_token.input_ids						,       __A				)
              self.assertListEqual(x_token.token_type_ids						,       __A				)
              self.assertListEqual(x_token.attention_mask						,       __A				)
              self.assertListEqual(x_token_a.input_ids						,       __A				)
              self.assertListEqual(x_token_a.token_type_ids						,       __A				)
              self.assertListEqual(x_token_a.attention_mask						,       __A				)


       def 	_snake_case				(    self				)						->    str:
              pass





       def 	_snake_case				(    self				)						->    Optional[int]:
              pass






'''simple docstring'''



def   lowercase__(			__UpperCamelCase:					int    ):

      """simple docstring"""






      if not isinstance(__UpperCamelCase      ,__UpperCamelCase    ):
            raise TypeError('Input value must be an \'int\' type'    )

      SCREAMING_SNAKE_CASE   :      int    					=						0
      while number:
            position += 1
            number >>= 1

      return position


if __name__ == "__main__":
      import doctest

      doctest.testmod()


