



'''simple docstring'''
import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


lowercase      			=	namedtuple(
    '''_TestCommandArgs''',
    [
        '''dataset''',
        '''name''',
        '''cache_dir''',
        '''data_dir''',
        '''all_configs''',
        '''save_infos''',
        '''ignore_verifications''',
        '''force_redownload''',
        '''clear_cache''',
    ],
    defaults=[None, None, None, False, False, False, False, False],
)



def        __A   (							_SCREAMING_SNAKE_CASE     :  List[Any]					,   _SCREAMING_SNAKE_CASE     :  int	):







					"""simple docstring"""






					return (abs(source - target	) / target) < 0.0_1




@pytest.mark.integration
def        __A   (							_SCREAMING_SNAKE_CASE     :  Tuple	):







					"""simple docstring"""






					__SCREAMING_SNAKE_CASE				:    str						    =							_TestCommandArgs(dataset=lowerCamelCase_					,   all_configs=lowerCamelCase_					,   save_infos=lowerCamelCase_	)
					__SCREAMING_SNAKE_CASE				:    int						    =							TestCommand(*lowerCamelCase_	)
					test_command.run()
					__SCREAMING_SNAKE_CASE				:    Any						    =							os.path.join(lowerCamelCase_					,   "README.md"	)
					assert os.path.exists(lowerCamelCase_	)
					__SCREAMING_SNAKE_CASE				:    Any						    =							DatasetInfosDict.from_directory(lowerCamelCase_	)
					__SCREAMING_SNAKE_CASE				:    List[Any]						    =							DatasetInfosDict(
					    {
					        "default": DatasetInfo(
					            features=Features(
					                {
					                    "tokens": Sequence(Value("string"	)	),
					                    "ner_tags": Sequence(
					                        ClassLabel(names=["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]	)	),
					                    "langs": Sequence(Value("string"	)	),
					                    "spans": Sequence(Value("string"	)	),
					                }	)					,   splits=[
					                {
					                    "name": "train",
					                    "num_bytes": 2_3_5_1_5_6_3,
					                    "num_examples": 1_0_0_0_0,
					                },
					                {
					                    "name": "validation",
					                    "num_bytes": 2_3_8_4_1_8,
					                    "num_examples": 1_0_0_0,
					                },
					            ]					,   download_size=3_9_4_0_6_8_0					,   dataset_size=2_5_8_9_9_8_1					,   )
					    }	)
					assert dataset_infos.keys() == expected_dataset_infos.keys()
					for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
										__SCREAMING_SNAKE_CASE				:    Dict						    =							getattr(dataset_infos["default"]					,   lowerCamelCase_	), getattr(expected_dataset_infos["default"]					,   lowerCamelCase_	)
										if key == "num_bytes":
															assert is_apercent_close(lowerCamelCase_					,   lowerCamelCase_	)
										elif key == "splits":
															assert list(lowerCamelCase_	) == list(lowerCamelCase_	)
															for split in result:
																				assert result[split].name == expected[split].name
																				assert result[split].num_examples == expected[split].num_examples
																				assert is_apercent_close(result[split].num_bytes					,   expected[split].num_bytes	)
										else:
															result == expected




'''simple docstring'''

from cva import destroyAllWindows, imread, imshow, waitKey


def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


 lowerCAmelCase__		,     lowerCAmelCase__     :   Tuple     		=	img.shape[0], img.shape[1]

 # converting each pixel's color to its negative
 for i in range(lowerCamelCase_			):
  for j in range(lowerCamelCase_			):
   lowerCAmelCase__     :   Optional[int]     		=	[2_5_5, 2_5_5, 2_5_5] - img[i][j]

 return img


if __name__ == "__main__":
     # read original image
     snake_case									=    imread("""image_data/lena.jpg""", 1)

     # convert to its negative
     snake_case									=    convert_to_negative(img)

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





