

"""simple docstring"""





import numpy as np



def        _lowerCAmelCase      (						UpperCAmelCase     :							Optional[Any]      ,							UpperCAmelCase     :							Tuple				):


					'''simple docstring'''






					UpperCamelCase__		:    Dict         =np.array(UpperCAmelCase				)
					UpperCamelCase__		:    Tuple         =np.array(UpperCAmelCase				)

					UpperCamelCase__		:    int         =abs(predict - actual				)
					UpperCamelCase__		:    Optional[int]         =difference.mean()

					return score



def        _lowerCAmelCase      (						UpperCAmelCase     :							Tuple      ,							UpperCAmelCase     :							Dict				):


					'''simple docstring'''






					UpperCamelCase__		:    List[Any]         =np.array(UpperCAmelCase				)
					UpperCamelCase__		:    int         =np.array(UpperCAmelCase				)

					UpperCamelCase__		:    Optional[int]         =predict - actual
					UpperCamelCase__		:    Optional[Any]         =np.square(UpperCAmelCase				)

					UpperCamelCase__		:    List[Any]         =square_diff.mean()
					return score



def        _lowerCAmelCase      (						UpperCAmelCase     :							List[str]      ,							UpperCAmelCase     :							int				):


					'''simple docstring'''






					UpperCamelCase__		:    Union[str, Any]         =np.array(UpperCAmelCase				)
					UpperCamelCase__		:    Optional[int]         =np.array(UpperCAmelCase				)

					UpperCamelCase__		:    Tuple         =predict - actual
					UpperCamelCase__		:    Tuple         =np.square(UpperCAmelCase				)
					UpperCamelCase__		:    Dict         =square_diff.mean()
					UpperCamelCase__		:    Dict         =np.sqrt(UpperCAmelCase				)
					return score



def        _lowerCAmelCase      (						UpperCAmelCase     :							int      ,							UpperCAmelCase     :							Dict				):


					'''simple docstring'''






					UpperCamelCase__		:    str         =np.array(UpperCAmelCase				)
					UpperCamelCase__		:    Dict         =np.array(UpperCAmelCase				)

					UpperCamelCase__		:    Any         =np.log(predict + 1				)
					UpperCamelCase__		:    str         =np.log(actual + 1				)

					UpperCamelCase__		:    Optional[Any]         =log_predict - log_actual
					UpperCamelCase__		:    int         =np.square(UpperCAmelCase				)
					UpperCamelCase__		:    Union[str, Any]         =square_diff.mean()

					UpperCamelCase__		:    Any         =np.sqrt(UpperCAmelCase				)

					return score



def        _lowerCAmelCase      (						UpperCAmelCase     :							str      ,							UpperCAmelCase     :							Dict				):


					'''simple docstring'''






					UpperCamelCase__		:    List[Any]         =np.array(UpperCAmelCase				)
					UpperCamelCase__		:    Optional[Any]         =np.array(UpperCAmelCase				)

					UpperCamelCase__		:    Union[str, Any]         =predict - actual
					UpperCamelCase__		:    Union[str, Any]         =np.sum(UpperCAmelCase				) / len(UpperCAmelCase				)
					UpperCamelCase__		:    List[str]         =np.sum(UpperCAmelCase				) / len(UpperCAmelCase				)
					# print(numerator, denumerator)
					UpperCamelCase__		:    List[str]         =float(UpperCAmelCase				) / denumerator * 100

					return score







def        _lowerCAmelCase      (						UpperCAmelCase     :							List[str]      ,							UpperCAmelCase     :							Union[str, Any]				):


					'''simple docstring'''






					return np.mean(np.array(UpperCAmelCase				) == np.array(UpperCAmelCase				)				)





"""simple docstring"""





import unittest

from transformers.image_processing_utils import get_size_dict

class     __a   (      unittest.TestCase    ):

			"""simple docstring"""

			def    _lowerCAmelCase			(							self     :					Dict						):
								# Test a dict with the wrong keys raises an error
								UpperCamelCase__		:    str         ={'''wrong_key''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								UpperCamelCase__		:    Any         ={'''height''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								UpperCamelCase__		:    List[str]         ={'''width''': 224, '''shortest_edge''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								# Test a dict with the correct keys is returned as is
								UpperCamelCase__		:    int         ={'''height''': 224, '''width''': 224}
								UpperCamelCase__		:    str         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  lowercase_						)

								UpperCamelCase__		:    List[Any]         ={'''shortest_edge''': 224}
								UpperCamelCase__		:    List[str]         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224}						)

								UpperCamelCase__		:    List[Any]         ={'''longest_edge''': 224, '''shortest_edge''': 224}
								UpperCamelCase__		:    Tuple         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  {'''longest_edge''': 224, '''shortest_edge''': 224}						)

								# Test a single int value which  represents (size, size)
								UpperCamelCase__		:    Optional[int]         =get_size_dict(224						)
								self.assertEqual(lowercase_						,  {'''height''': 224, '''width''': 224}						)

								# Test a single int value which represents the shortest edge
								UpperCamelCase__		:    str         =get_size_dict(224						,  default_to_square=lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224}						)

								# Test a tuple of ints which represents (height, width)
								UpperCamelCase__		:    List[str]         =get_size_dict((150, 200)						)
								self.assertEqual(lowercase_						,  {'''height''': 150, '''width''': 200}						)

								# Test a tuple of ints which represents (width, height)
								UpperCamelCase__		:    Optional[int]         =get_size_dict((150, 200)						,  height_width_order=lowercase_						)
								self.assertEqual(lowercase_						,  {'''height''': 200, '''width''': 150}						)

								# Test an int representing the shortest edge and max_size which represents the longest edge
								UpperCamelCase__		:    int         =get_size_dict(224						,  max_size=256						,  default_to_square=lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224, '''longest_edge''': 256}						)

								# Test int with default_to_square=True and max_size fails
								with self.assertRaises(lowercase_						):
													get_size_dict(224						,  max_size=256						,  default_to_square=lowercase_						)


