
"""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 A_	(lowercase__				,unittest.TestCase      ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__			:						str       =		GPTSanJapaneseTokenizer
  SCREAMING_SNAKE_CASE__			:						str       =		False
  SCREAMING_SNAKE_CASE__			:						int       =		{"""do_clean_text""": False, """add_prefix_space""": False}







  def        UpperCamelCase__					(		self  ):

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

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

     UpperCAmelCase_					:					Any			     =    os.path.join(self.tmpdirname				,   VOCAB_FILES_NAMES["vocab_file"]  )
     UpperCAmelCase_					:					Union[str, Any]			     =    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(lowercase_  )  )







  def        UpperCamelCase__					(		self				,   **lowercase_  ):

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







  def        UpperCamelCase__					(		self				,   lowercase_  ):

     """simple docstring"""
     UpperCAmelCase_					:					Any			     =    "こんにちは、世界。 \nこんばんは、㔺界。😀"
     UpperCAmelCase_					:					Union[str, Any]			     =    "こんにちは、世界。 \nこんばんは、世界。😀"
     return input_text, output_text







  def        UpperCamelCase__					(		self				,   lowercase_  ):

     """simple docstring"""
     UpperCAmelCase_     ,   UpperCAmelCase_					:					Tuple			     =    self.get_input_output_texts(lowercase_  )
     UpperCAmelCase_					:					Optional[int]			     =    tokenizer.encode(lowercase_				,   add_special_tokens=lowercase_  )
     UpperCAmelCase_					:					Optional[int]			     =    tokenizer.decode(lowercase_				,   clean_up_tokenization_spaces=lowercase_  )
     return text, ids







  def        UpperCamelCase__					(		self  ):

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







  def        UpperCamelCase__					(		self  ):

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







  def        UpperCamelCase__					(		self  ):

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







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					str			     =    self.get_tokenizer()

     # Testing tokenization
     UpperCAmelCase_					:					Tuple			     =    "こんにちは、世界。　こんばんは、㔺界。"
     UpperCAmelCase_					:					Dict			     =    ["こん", "にちは", "、", "世界", "。", "<SP>", "こん", "ばんは", "、", "㔺界", "。"]
     UpperCAmelCase_					:					int			     =    tokenizer.tokenize(lowercase_  )
     self.assertListEqual(lowercase_				,   lowercase_  )

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

     # Testing conversion to ids with special tokens
     UpperCAmelCase_					:					Tuple			     =    tokens + [tokenizer.unk_token]
     UpperCAmelCase_					:					Optional[int]			     =    [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
     UpperCAmelCase_					:					int			     =    tokenizer.convert_tokens_to_ids(lowercase_  )
     self.assertListEqual(lowercase_				,   lowercase_  )







  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[Any]			     =    self.get_tokenizer()

     # Testing tokenization
     UpperCAmelCase_					:					Optional[int]			     =    "こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。"
     UpperCAmelCase_					:					Optional[int]			     =    "こんにちは、、、、世界。こんばんは、、、、世界。"
     UpperCAmelCase_					:					Union[str, Any]			     =    tokenizer.encode(lowercase_  )
     UpperCAmelCase_					:					Union[str, Any]			     =    tokenizer.decode(lowercase_  )
     self.assertEqual(lowercase_				,   lowercase_  )







  @slow
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[Any]			     =    self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"  )

     # Testing tokenization
     UpperCAmelCase_					:					List[Any]			     =    "こんにちは、世界。"
     UpperCAmelCase_					:					List[Any]			     =    "こんばんは、㔺界。😀"
     UpperCAmelCase_					:					List[Any]			     =    "こんにちは、世界。こんばんは、世界。😀"
     UpperCAmelCase_					:					Optional[Any]			     =    tokenizer.encode(prefix_text + input_text  )
     UpperCAmelCase_					:					List[str]			     =    tokenizer.encode(""				,   prefix_text=prefix_text + input_text  )
     UpperCAmelCase_					:					str			     =    tokenizer.encode(lowercase_				,   prefix_text=lowercase_  )
     UpperCAmelCase_					:					List[Any]			     =    tokenizer.decode(lowercase_  )
     UpperCAmelCase_					:					str			     =    tokenizer.decode(lowercase_  )
     UpperCAmelCase_					:					List[str]			     =    tokenizer.decode(lowercase_  )
     self.assertEqual(lowercase_				,   lowercase_  )
     self.assertEqual(lowercase_				,   lowercase_  )
     self.assertEqual(lowercase_				,   lowercase_  )







  @slow
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Dict			     =    self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"  )

     # Testing tokenization
     UpperCAmelCase_					:					Union[str, Any]			     =    "こんにちは、世界。"
     UpperCAmelCase_					:					Union[str, Any]			     =    "こんばんは、㔺界。😀"

     UpperCAmelCase_					:					List[Any]			     =    len(tokenizer.encode(lowercase_  )  ) - 2
     UpperCAmelCase_					:					Dict			     =    len(tokenizer.encode(lowercase_  )  ) - 2

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

     UpperCAmelCase_					:					Dict			     =    tokenizer(prefix_text + input_text  ).token_type_ids
     UpperCAmelCase_					:					Optional[Any]			     =    tokenizer(""				,   prefix_text=prefix_text + input_text  ).token_type_ids
     UpperCAmelCase_					:					str			     =    tokenizer(lowercase_				,   prefix_text=lowercase_  ).token_type_ids
     self.assertListEqual(lowercase_				,   lowercase_  )
     self.assertListEqual(lowercase_				,   lowercase_  )
     self.assertListEqual(lowercase_				,   lowercase_  )







  @slow
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[str]			     =    self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"  )

     UpperCAmelCase_					:					str			     =    tokenizer.encode("あンいワ"  )
     UpperCAmelCase_					:					List[Any]			     =    tokenizer.encode(""				,   prefix_text="あンいワ"  )
     UpperCAmelCase_					:					str			     =    tokenizer.encode("いワ"				,   prefix_text="あン"  )

     self.assertEqual(tokenizer.decode(lowercase_  )				,   tokenizer.decode(lowercase_  )  )
     self.assertEqual(tokenizer.decode(lowercase_  )				,   tokenizer.decode(lowercase_  )  )
     self.assertNotEqual(lowercase_				,   lowercase_  )
     self.assertNotEqual(lowercase_				,   lowercase_  )
     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        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Optional[Any]			     =    self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"  )

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

     # fmt: off
     UpperCAmelCase_					:					str			     =    [[3_5993, 8640, 2_5948, 3_5998, 3_0647, 3_5675, 3_5999, 3_5999], [3_5993, 1_0382, 9868, 3_5998, 3_0646, 9459, 3_0646, 3_5675]]
     UpperCAmelCase_					:					Optional[int]			     =    [[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
     UpperCAmelCase_					:					int			     =    [[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
     # fmt: on
     self.assertListEqual(x_token.input_ids				,   lowercase_  )
     self.assertListEqual(x_token.token_type_ids				,   lowercase_  )
     self.assertListEqual(x_token.attention_mask				,   lowercase_  )
     self.assertListEqual(x_token_a.input_ids				,   lowercase_  )
     self.assertListEqual(x_token_a.token_type_ids				,   lowercase_  )
     self.assertListEqual(x_token_a.attention_mask				,   lowercase_  )







  def        UpperCamelCase__					(		self  ):

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







  def        UpperCamelCase__					(		self  ):

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









def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase						,	_UpperCAmelCase )			->     bool:
    lowerCamelCase__    :      List[str]					 =		len(_UpperCAmelCase )
    lowerCamelCase__    :      str					 =		[[False] * (required_sum + 1) for _ in range(arr_len + 1 )]

    # for each arr value, a sum of zero(0) can be formed by not taking any element
    # hence True/1
    for i in range(arr_len + 1 ):
        lowerCamelCase__    :      Tuple					 =		True

    # sum is not zero and set is empty then false
    for i in range(1						,	required_sum + 1 ):
        lowerCamelCase__    :      Dict					 =		False

    for i in range(1						,	arr_len + 1 ):
        for j in range(1						,	required_sum + 1 ):
            if arr[i - 1] > j:
                lowerCamelCase__    :      str					 =		subset[i - 1][j]
            if arr[i - 1] <= j:
                lowerCamelCase__    :      Dict					 =		subset[i - 1][j] or subset[i - 1][j - arr[i - 1]]

    return subset[arr_len][required_sum]


if __name__ == "__main__":
    import doctest

    doctest.testmod()





