




import numpy as np




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						Tuple       ,     __UpperCamelCase			:						Tuple      )  ->							str:
    UpperCAmelCase_							 =     np.array(__UpperCamelCase      )
    UpperCAmelCase_							 =     np.array(__UpperCamelCase      )

    UpperCAmelCase_							 =     abs(predict - actual      )
    UpperCAmelCase_							 =     difference.mean()

    return score




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						List[Any]       ,     __UpperCamelCase			:						List[Any]      )  ->							Tuple:
    UpperCAmelCase_							 =     np.array(__UpperCamelCase      )
    UpperCAmelCase_							 =     np.array(__UpperCamelCase      )

    UpperCAmelCase_							 =     predict - actual
    UpperCAmelCase_							 =     np.square(__UpperCamelCase      )

    UpperCAmelCase_							 =     square_diff.mean()
    return score




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						int       ,     __UpperCamelCase			:						Union[str, Any]      )  ->							List[Any]:
    UpperCAmelCase_							 =     np.array(__UpperCamelCase      )
    UpperCAmelCase_							 =     np.array(__UpperCamelCase      )

    UpperCAmelCase_							 =     predict - actual
    UpperCAmelCase_							 =     np.square(__UpperCamelCase      )
    UpperCAmelCase_							 =     square_diff.mean()
    UpperCAmelCase_							 =     np.sqrt(__UpperCamelCase      )
    return score




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						List[Any]       ,     __UpperCamelCase			:						int      )  ->							Optional[Any]:
    UpperCAmelCase_							 =     np.array(__UpperCamelCase      )
    UpperCAmelCase_							 =     np.array(__UpperCamelCase      )

    UpperCAmelCase_							 =     np.log(predict + 1      )
    UpperCAmelCase_							 =     np.log(actual + 1      )

    UpperCAmelCase_							 =     log_predict - log_actual
    UpperCAmelCase_							 =     np.square(__UpperCamelCase      )
    UpperCAmelCase_							 =     square_diff.mean()

    UpperCAmelCase_							 =     np.sqrt(__UpperCamelCase      )

    return score




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						int       ,     __UpperCamelCase			:						Optional[Any]      )  ->							List[Any]:
    UpperCAmelCase_							 =     np.array(__UpperCamelCase      )
    UpperCAmelCase_							 =     np.array(__UpperCamelCase      )

    UpperCAmelCase_							 =     predict - actual
    UpperCAmelCase_							 =     np.sum(__UpperCamelCase      ) / len(__UpperCamelCase      )
    UpperCAmelCase_							 =     np.sum(__UpperCamelCase      ) / len(__UpperCamelCase      )
    # print(numerator, denumerator)
    UpperCAmelCase_							 =     float(__UpperCamelCase      ) / denumerator * 100

    return score




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						Optional[int]       ,     __UpperCamelCase			:						List[Any]      )  ->							Any:
    return np.mean(np.array(__UpperCamelCase      ) == np.array(__UpperCamelCase      )      )











from typing import List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


_lowerCamelCase			 =						datasets.utils.logging.get_logger(__name__)



class 			a     (   folder_based_builder.FolderBasedBuilderConfig			):

     '''simple docstring'''





     lowerCAmelCase				:       bool   		=  None
     lowerCAmelCase				:       bool   		=  None



class 			a     (   folder_based_builder.FolderBasedBuilder			):

     '''simple docstring'''





     lowerCAmelCase				:       List[Any]   		=  datasets.Image()
     lowerCAmelCase				:       List[Any]   		=  'image'
     lowerCAmelCase				:       List[Any]   		=  ImageFolderConfig
     lowerCAmelCase				:       List[str]  # definition at the bottom of the script
     lowerCAmelCase				:       Dict   		=  ImageClassification(image_column='image'	,   label_column='label'			)


_lowerCamelCase			 =						[
    '.blp',
    '.bmp',
    '.dib',
    '.bufr',
    '.cur',
    '.pcx',
    '.dcx',
    '.dds',
    '.ps',
    '.eps',
    '.fit',
    '.fits',
    '.fli',
    '.flc',
    '.ftc',
    '.ftu',
    '.gbr',
    '.gif',
    '.grib',
    '.h5',
    '.hdf',
    '.png',
    '.apng',
    '.jp2',
    '.j2k',
    '.jpc',
    '.jpf',
    '.jpx',
    '.j2c',
    '.icns',
    '.ico',
    '.im',
    '.iim',
    '.tif',
    '.tiff',
    '.jfif',
    '.jpe',
    '.jpg',
    '.jpeg',
    '.mpg',
    '.mpeg',
    '.msp',
    '.pcd',
    '.pxr',
    '.pbm',
    '.pgm',
    '.ppm',
    '.pnm',
    '.psd',
    '.bw',
    '.rgb',
    '.rgba',
    '.sgi',
    '.ras',
    '.tga',
    '.icb',
    '.vda',
    '.vst',
    '.webp',
    '.wmf',
    '.emf',
    '.xbm',
    '.xpm',
]
_lowerCamelCase			 =						IMAGE_EXTENSIONS





