






import unittest

from transformers.image_processing_utils import get_size_dict
class 					a					(				unittest.TestCase     ):



      """simple docstring"""


      def 			UpperCAmelCase   (   self      :    Any      )							->   Any:
        # Test a dict with the wrong keys raises an error
        __UpperCAmelCase							:			Optional[Any]     =						{"""wrong_key""": 224}
        with self.assertRaises(__lowercase      ):
          get_size_dict(__lowercase      )

        __UpperCAmelCase							:			List[Any]     =						{"""height""": 224}
        with self.assertRaises(__lowercase      ):
          get_size_dict(__lowercase      )

        __UpperCAmelCase							:			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							:			List[str]     =						{"""height""": 224, """width""": 224}
        __UpperCAmelCase							:			Tuple     =						get_size_dict(__lowercase      )
        self.assertEqual(__lowercase	,   __lowercase      )

        __UpperCAmelCase							:			Union[str, Any]     =						{"""shortest_edge""": 224}
        __UpperCAmelCase							:			int     =						get_size_dict(__lowercase      )
        self.assertEqual(__lowercase	,   {"""shortest_edge""": 224}      )

        __UpperCAmelCase							:			Any     =						{"""longest_edge""": 224, """shortest_edge""": 224}
        __UpperCAmelCase							:			Optional[Any]     =						get_size_dict(__lowercase      )
        self.assertEqual(__lowercase	,   {"""longest_edge""": 224, """shortest_edge""": 224}      )

        # Test a single int value which  represents (size, size)
        __UpperCAmelCase							:			Optional[Any]     =						get_size_dict(224      )
        self.assertEqual(__lowercase	,   {"""height""": 224, """width""": 224}      )

        # Test a single int value which represents the shortest edge
        __UpperCAmelCase							:			Dict     =						get_size_dict(224	,   default_to_square=__lowercase      )
        self.assertEqual(__lowercase	,   {"""shortest_edge""": 224}      )

        # Test a tuple of ints which represents (height, width)
        __UpperCAmelCase							:			int     =						get_size_dict((150, 200)      )
        self.assertEqual(__lowercase	,   {"""height""": 150, """width""": 200}      )

        # Test a tuple of ints which represents (width, height)
        __UpperCAmelCase							:			Union[str, Any]     =						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							:			Optional[Any]     =						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      )










class 					a					:



      """simple docstring"""


      def __init__(   self      :    int	,   __lowercase      :    int      )							->   None:
        __UpperCAmelCase							:			str     =						data
        __UpperCAmelCase							:			BinaryTreeNode | None     =						None
        __UpperCAmelCase							:			BinaryTreeNode | None     =						None






def        lowerCamelCase__   (					__lowerCamelCase    :  BinaryTreeNode | None						,	__lowerCamelCase    :  int	):
  if node is None:
    __UpperCAmelCase							:			Optional[int]     =						BinaryTreeNode(__lowerCamelCase	)
    return node

  # binary search tree is not empty,
  # so we will insert it into the tree
  # if new_value is less than value of data in node,
  #  add it to left subtree and proceed recursively
  if new_value < node.data:
    __UpperCAmelCase							:			int     =						insert(node.left_child						,	__lowerCamelCase	)
  else:
    # if new_value is greater than value of data in node,
    #  add it to right subtree and proceed recursively
    __UpperCAmelCase							:			Dict     =						insert(node.right_child						,	__lowerCamelCase	)
  return node






def        lowerCamelCase__   (					__lowerCamelCase    :  None | BinaryTreeNode	):  # if node is None,return
  if node:
    __UpperCAmelCase							:			Optional[Any]     =						inorder(node.left_child	)
    __UpperCAmelCase							:			str     =						[*inorder_array, node.data]
    __UpperCAmelCase							:			Optional[Any]     =						inorder_array + inorder(node.right_child	)
  else:
    __UpperCAmelCase							:			Tuple     =						[]
  return inorder_array






def        lowerCamelCase__   (					):
  __UpperCAmelCase							:			Any     =						insert(__lowerCamelCase						,	15	)
  insert(__lowerCamelCase						,	10	)
  insert(__lowerCamelCase						,	25	)
  insert(__lowerCamelCase						,	6	)
  insert(__lowerCamelCase						,	14	)
  insert(__lowerCamelCase						,	20	)
  insert(__lowerCamelCase						,	60	)
  return root






def        lowerCamelCase__   (					):
  # main function
  __UpperCAmelCase							:			int     =						make_tree()
  print("""Printing values of binary search tree in Inorder Traversal."""	)
  inorder(__lowerCamelCase	)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       main()


