
"""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       __magic_name__							(							SCREAMING_SNAKE_CASE__ ,       unittest.TestCase			):
       UpperCamelCase_ =		GPTSanJapaneseTokenizer
       UpperCamelCase_ =		False
       UpperCamelCase_ =		{'''do_clean_text''': False, '''add_prefix_space''': False}
       def 				lowercase_				(  self							)  ->						Optional[int]:





         """simple docstring"""




         super().setUp()

         # fmt: off
         _lowercase:      Optional[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
         _lowercase:      Dict   			=  {'''emoji''': {'''\ud83d\ude00''': '''<|emoji1|>'''}, '''emoji_inv''': {'''<|emoji1|>''': '''\ud83d\ude00'''}}  # 😀
         _lowercase:      str   			=  {'''unk_token''': '''<unk>'''}

         _lowercase:      int   			=  os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES['''vocab_file''']							)
         _lowercase:      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(A_							)							)
       def 				lowercase_				(  self			,					**A_							)  ->						str:





         """simple docstring"""




         kwargs.update(self.special_tokens_map							)
         return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname			,					**A_							)
       def 				lowercase_				(  self			,					A_							)  ->						Dict:





         """simple docstring"""




         _lowercase:      str   			=  '''こんにちは、世界。 \nこんばんは、㔺界。😀'''
         _lowercase:      Optional[int]   			=  '''こんにちは、世界。 \nこんばんは、世界。😀'''
         return input_text, output_text
       def 				lowercase_				(  self			,					A_							)  ->						Optional[int]:





         """simple docstring"""




         _lowercase			,					_lowercase:      List[str]   			=  self.get_input_output_texts(A_							)
         _lowercase:      Optional[Any]   			=  tokenizer.encode(A_			,					add_special_tokens=A_							)
         _lowercase:      int   			=  tokenizer.decode(A_			,					clean_up_tokenization_spaces=A_							)
         return text, ids
       def 				lowercase_				(  self							)  ->						Optional[int]:





         """simple docstring"""




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





         """simple docstring"""




         pass  # TODO add if relevant
       def 				lowercase_				(  self							)  ->						Tuple:





         """simple docstring"""




         pass  # TODO add if relevant
       def 				lowercase_				(  self							)  ->						List[str]:





         """simple docstring"""




         _lowercase:      Any   			=  self.get_tokenizer()

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

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

         # Testing conversion to ids with special tokens
         _lowercase:      Any   			=  tokens + [tokenizer.unk_token]
         _lowercase:      Tuple   			=  [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
         _lowercase:      Any   			=  tokenizer.convert_tokens_to_ids(A_							)
         self.assertListEqual(A_			,					A_							)
       def 				lowercase_				(  self							)  ->						List[str]:





         """simple docstring"""




         _lowercase:      str   			=  self.get_tokenizer()

         # Testing tokenization
         _lowercase:      Union[str, Any]   			=  '''こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。'''
         _lowercase:      Dict   			=  '''こんにちは、、、、世界。こんばんは、、、、世界。'''
         _lowercase:      int   			=  tokenizer.encode(A_							)
         _lowercase:      Optional[Any]   			=  tokenizer.decode(A_							)
         self.assertEqual(A_			,					A_							)
       @slow
       def 				lowercase_				(  self							)  ->						Optional[int]:





         """simple docstring"""




         _lowercase:      Any   			=  self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''							)

         # Testing tokenization
         _lowercase:      Optional[Any]   			=  '''こんにちは、世界。'''
         _lowercase:      List[Any]   			=  '''こんばんは、㔺界。😀'''
         _lowercase:      str   			=  '''こんにちは、世界。こんばんは、世界。😀'''
         _lowercase:      Optional[int]   			=  tokenizer.encode(prefix_text + input_text							)
         _lowercase:      Union[str, Any]   			=  tokenizer.encode(''''''			,					prefix_text=prefix_text + input_text							)
         _lowercase:      str   			=  tokenizer.encode(A_			,					prefix_text=A_							)
         _lowercase:      Optional[int]   			=  tokenizer.decode(A_							)
         _lowercase:      Optional[Any]   			=  tokenizer.decode(A_							)
         _lowercase:      int   			=  tokenizer.decode(A_							)
         self.assertEqual(A_			,					A_							)
         self.assertEqual(A_			,					A_							)
         self.assertEqual(A_			,					A_							)
       @slow
       def 				lowercase_				(  self							)  ->						Optional[int]:





         """simple docstring"""




         _lowercase:      Dict   			=  self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''							)

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

         _lowercase:      Tuple   			=  len(tokenizer.encode(A_							)							) - 2
         _lowercase:      Tuple   			=  len(tokenizer.encode(A_							)							) - 2

         _lowercase:      Any   			=  [1] + [0] * (len_prefix + len_text + 1)
         _lowercase:      Optional[Any]   			=  [1] * (len_prefix + len_text + 1) + [0]
         _lowercase:      Any   			=  [1] + [1] * (len_prefix) + [0] * (len_text + 1)

         _lowercase:      Optional[Any]   			=  tokenizer(prefix_text + input_text							).token_type_ids
         _lowercase:      Any   			=  tokenizer(''''''			,					prefix_text=prefix_text + input_text							).token_type_ids
         _lowercase:      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							)  ->						Tuple:





         """simple docstring"""




         _lowercase:      Tuple   			=  self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''							)

         _lowercase:      Optional[int]   			=  tokenizer.encode('''あンいワ'''							)
         _lowercase:      List[str]   			=  tokenizer.encode(''''''			,					prefix_text='''あンいワ'''							)
         _lowercase:      Optional[Any]   			=  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							)  ->						List[Any]:





         """simple docstring"""




         _lowercase:      Union[str, Any]   			=  self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese'''							)

         _lowercase:      Union[str, Any]   			=  [['''武田信玄''', '''は、'''], ['''織田信長''', '''の配下の、''']]
         _lowercase:      Dict   			=  tokenizer(A_			,					padding=A_							)
         _lowercase:      List[str]   			=  tokenizer.batch_encode_plus(A_			,					padding=A_							)

         # fmt: off
         _lowercase:      int   			=  [[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]]
         _lowercase:      Optional[Any]   			=  [[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
         _lowercase:      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							)  ->						Optional[Any]:





         """simple docstring"""




         pass



       def 				lowercase_				(  self							)  ->						Optional[Any]:





         """simple docstring"""




         pass


"""simple docstring"""




from cva import destroyAllWindows, imread, imshow, waitKey




def 			_lowerCAmelCase		(		_UpperCamelCase    ):






  """simple docstring"""



  _lowercase			,					_lowercase:      Union[str, Any]   			=  img.shape[0], img.shape[1]

  # converting each pixel's color to its negative
  for i in range(_UpperCamelCase    ):
    for j in range(_UpperCamelCase    ):
      _lowercase:      Dict   			=  [255, 255, 255] - img[i][j]

  return img


if __name__ == "__main__":
  # read original image
  A__ :       Optional[Any]				= imread('image_data/lena.jpg', 1)

  # convert to its negative
  A__ :       Dict				= convert_to_negative(img)

  # show result image
  imshow('negative of original image', img)
  waitKey(0)
  destroyAllWindows()
