






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						):
      _a							:						Union[str, Any]										=							GPTSanJapaneseTokenizer
      _a							:						int										=							False
      _a							:						Optional[Any]										=							{'do_clean_text': False, 'add_prefix_space': False}
      def 						lowercase__					(     self   ):
       super().setUp()

       # fmt: off
       snake_case__  :    List[str]							       =["""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
       snake_case__  :    Optional[int]							       ={"""emoji""": {"""\ud83d\ude00""": """<|emoji1|>"""}, """emoji_inv""": {"""<|emoji1|>""": """\ud83d\ude00"""}}  # 😀
       snake_case__  :    int							       ={"""unk_token""": """<unk>"""}

       snake_case__  :    str							       =os.path.join(self.tmpdirname				,			VOCAB_FILES_NAMES["""vocab_file"""]   )
       snake_case__  :    Tuple							       =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 						lowercase__					(     self				,			**a   ):
       kwargs.update(self.special_tokens_map   )
       return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname				,			**a   )
      def 						lowercase__					(     self				,			a   ):
       snake_case__  :    Optional[int]							       ="""こんにちは、世界。 \nこんばんは、㔺界。😀"""
       snake_case__  :    List[Any]							       ="""こんにちは、世界。 \nこんばんは、世界。😀"""
       return input_text, output_text
      def 						lowercase__					(     self				,			a   ):
       snake_case__       ,   snake_case__  :    str							       =self.get_input_output_texts(a   )
       snake_case__  :    int							       =tokenizer.encode(a				,			add_special_tokens=a   )
       snake_case__  :    Any							       =tokenizer.decode(a				,			clean_up_tokenization_spaces=a   )
       return text, ids
      def 						lowercase__					(     self   ):
       pass  # TODO add if relevant
      def 						lowercase__					(     self   ):
       pass  # TODO add if relevant
      def 						lowercase__					(     self   ):
       pass  # TODO add if relevant
      def 						lowercase__					(     self   ):
       snake_case__  :    Optional[int]							       =self.get_tokenizer()

       # Testing tokenization
       snake_case__  :    Optional[Any]							       ="""こんにちは、世界。　こんばんは、㔺界。"""
       snake_case__  :    Union[str, Any]							       =["""こん""", """にちは""", """、""", """世界""", """。""", """<SP>""", """こん""", """ばんは""", """、""", """㔺界""", """。"""]
       snake_case__  :    List[Any]							       =tokenizer.tokenize(a   )
       self.assertListEqual(a				,			a   )

       # Testing conversion to ids without special tokens
       snake_case__  :    Optional[int]							       =[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
       snake_case__  :    Optional[int]							       =tokenizer.convert_tokens_to_ids(a   )
       self.assertListEqual(a				,			a   )

       # Testing conversion to ids with special tokens
       snake_case__  :    Any							       =tokens + [tokenizer.unk_token]
       snake_case__  :    Tuple							       =[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
       snake_case__  :    int							       =tokenizer.convert_tokens_to_ids(a   )
       self.assertListEqual(a				,			a   )
      def 						lowercase__					(     self   ):
       snake_case__  :    Optional[Any]							       =self.get_tokenizer()

       # Testing tokenization
       snake_case__  :    List[str]							       ="""こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。"""
       snake_case__  :    Tuple							       ="""こんにちは、、、、世界。こんばんは、、、、世界。"""
       snake_case__  :    Optional[int]							       =tokenizer.encode(a   )
       snake_case__  :    Optional[Any]							       =tokenizer.decode(a   )
       self.assertEqual(a				,			a   )
      @slow
      def 						lowercase__					(     self   ):
       snake_case__  :    Tuple							       =self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""   )

       # Testing tokenization
       snake_case__  :    Optional[int]							       ="""こんにちは、世界。"""
       snake_case__  :    Optional[int]							       ="""こんばんは、㔺界。😀"""
       snake_case__  :    Any							       ="""こんにちは、世界。こんばんは、世界。😀"""
       snake_case__  :    str							       =tokenizer.encode(prefix_text + input_text   )
       snake_case__  :    Union[str, Any]							       =tokenizer.encode(""""""				,			prefix_text=prefix_text + input_text   )
       snake_case__  :    List[Any]							       =tokenizer.encode(a				,			prefix_text=a   )
       snake_case__  :    int							       =tokenizer.decode(a   )
       snake_case__  :    str							       =tokenizer.decode(a   )
       snake_case__  :    str							       =tokenizer.decode(a   )
       self.assertEqual(a				,			a   )
       self.assertEqual(a				,			a   )
       self.assertEqual(a				,			a   )
      @slow
      def 						lowercase__					(     self   ):
       snake_case__  :    Any							       =self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""   )

       # Testing tokenization
       snake_case__  :    Tuple							       ="""こんにちは、世界。"""
       snake_case__  :    Optional[int]							       ="""こんばんは、㔺界。😀"""

       snake_case__  :    Tuple							       =len(tokenizer.encode(a   )   ) - 2
       snake_case__  :    Union[str, Any]							       =len(tokenizer.encode(a   )   ) - 2

       snake_case__  :    Optional[Any]							       =[1] + [0] * (len_prefix + len_text + 1)
       snake_case__  :    Dict							       =[1] * (len_prefix + len_text + 1) + [0]
       snake_case__  :    Optional[int]							       =[1] + [1] * (len_prefix) + [0] * (len_text + 1)

       snake_case__  :    Union[str, Any]							       =tokenizer(prefix_text + input_text   ).token_type_ids
       snake_case__  :    List[Any]							       =tokenizer(""""""				,			prefix_text=prefix_text + input_text   ).token_type_ids
       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 						lowercase__					(     self   ):
       snake_case__  :    Any							       =self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""   )

       snake_case__  :    Union[str, Any]							       =tokenizer.encode("""あンいワ"""   )
       snake_case__  :    Tuple							       =tokenizer.encode(""""""				,			prefix_text="""あンいワ"""   )
       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 						lowercase__					(     self   ):
       snake_case__  :    Dict							       =self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""   )

       snake_case__  :    Tuple							       =[["""武田信玄""", """は、"""], ["""織田信長""", """の配下の、"""]]
       snake_case__  :    str							       =tokenizer(a				,			padding=a   )
       snake_case__  :    int							       =tokenizer.batch_encode_plus(a				,			padding=a   )

       # fmt: off
       snake_case__  :    str							       =[[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]]
       snake_case__  :    List[str]							       =[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
       snake_case__  :    List[str]							       =[[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 						lowercase__					(     self   ):
       # Intentionally convert some words to accommodate character fluctuations unique to Japanese
       pass



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













def 			A__							(      _a  :					Optional[Any]		,  _a  :					Tuple		,  _a  :					List[str]=False	):





 '''simple docstring'''







 if isinstance(_a		,  _a	) and isinstance(_a		,  _a	):
  snake_case__  :    int							       =len(set_a.intersection(_a	)	)

  if alternative_union:
   snake_case__  :    int							       =len(_a	) + len(_a	)
  else:
   snake_case__  :    Tuple							       =len(set_a.union(_a	)	)

  return intersection / union

 if isinstance(_a		,  (list, tuple)	) and isinstance(_a		,  (list, tuple)	):
  snake_case__  :    Optional[int]							       =[element for element in set_a if element in set_b]

  if alternative_union:
   snake_case__  :    Optional[Any]							       =len(_a	) + len(_a	)
   return len(_a	) / union
  else:
   snake_case__  :    Dict							       =set_a + [element for element in set_b if element not in set_a]
   return len(_a	) / len(_a	)

  return len(_a	) / len(_a	)
 return None


if __name__ == "__main__":
       __lowerCamelCase	:		List[Any]										=   {"""a""", """b""", """c""", """d""", """e"""}
       __lowerCamelCase	:		Optional[int]										=   {"""c""", """d""", """e""", """f""", """h""", """i"""}
       print(jaccard_similarity(set_a, set_b))





