

import unittest

from transformers.image_processing_utils import get_size_dict



class 						a_			(				unittest.TestCase	):



      """simple docstring"""







      def 			_lowerCAmelCase	( self	:				List[str]							):
           # Test a dict with the wrong keys raises an error
           SCREAMING_SNAKE_CASE 		={'wrong_key': 224}
           with self.assertRaises(snake_case							):
                get_size_dict(snake_case							)

           SCREAMING_SNAKE_CASE 		={'height': 224}
           with self.assertRaises(snake_case							):
                get_size_dict(snake_case							)

           SCREAMING_SNAKE_CASE 		={'width': 224, 'shortest_edge': 224}
           with self.assertRaises(snake_case							):
                get_size_dict(snake_case							)

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

           SCREAMING_SNAKE_CASE 		={'shortest_edge': 224}
           SCREAMING_SNAKE_CASE 		=get_size_dict(snake_case							)
           self.assertEqual(snake_case     ,{'shortest_edge': 224}							)

           SCREAMING_SNAKE_CASE 		={'longest_edge': 224, 'shortest_edge': 224}
           SCREAMING_SNAKE_CASE 		=get_size_dict(snake_case							)
           self.assertEqual(snake_case     ,{'longest_edge': 224, 'shortest_edge': 224}							)

           # Test a single int value which  represents (size, size)
           SCREAMING_SNAKE_CASE 		=get_size_dict(224							)
           self.assertEqual(snake_case     ,{'height': 224, 'width': 224}							)

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

           # Test a tuple of ints which represents (height, width)
           SCREAMING_SNAKE_CASE 		=get_size_dict((150, 200)							)
           self.assertEqual(snake_case     ,{'height': 150, 'width': 200}							)

           # Test a tuple of ints which represents (width, height)
           SCREAMING_SNAKE_CASE 		=get_size_dict((150, 200)     ,height_width_order=snake_case							)
           self.assertEqual(snake_case     ,{'height': 200, 'width': 150}							)

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

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




import numpy as np







def      snake_case__							(  lowerCAmelCase_     ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE 		=np.exp(lowerCAmelCase_     )

     # Add up the all the exponentials
     SCREAMING_SNAKE_CASE 		=np.sum(lowerCAmelCase_     )

     # Divide every exponent by the sum of all exponents
     SCREAMING_SNAKE_CASE 		=exponent_vector / sum_of_exponents

     return softmax_vector


if __name__ == "__main__":
 print(softmax((0,)))

