
'''simple docstring'''


class     __snake_case			:




		def __init__(  self					:Dict			,    _SCREAMING_SNAKE_CASE					:int)					->			None:






								'''simple docstring'''






								UpperCamelCase_     :	Tuple					     =     data
								UpperCamelCase_     :	BinaryTreeNode | None					     =     None
								UpperCamelCase_     :	BinaryTreeNode | None					     =     None







def 					__magic_name__(       UpperCAmelCase__ :       BinaryTreeNode | None							,				UpperCAmelCase__ :       int	):
						if node is None:
												UpperCamelCase_     :	str					     =     BinaryTreeNode(UpperCAmelCase__	)
												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_     :	str					     =     insert(node.left_child							,				UpperCAmelCase__	)
						else:
												# if new_value is greater than value of data in node,
												#  add it to right subtree and proceed recursively
												UpperCamelCase_     :	List[Any]					     =     insert(node.right_child							,				UpperCAmelCase__	)
						return node
def 					__magic_name__(       UpperCAmelCase__ :       None | BinaryTreeNode	):  # if node is None,return
						if node:
												UpperCamelCase_     :	List[Any]					     =     inorder(node.left_child	)
												UpperCamelCase_     :	Optional[int]					     =     [*inorder_array, node.data]
												UpperCamelCase_     :	Any					     =     inorder_array + inorder(node.right_child	)
						else:
												UpperCamelCase_     :	Tuple					     =     []
						return inorder_array
def 					__magic_name__(       ):
						UpperCamelCase_     :	Optional[Any]					     =     insert(UpperCAmelCase__							,				15	)
						insert(UpperCAmelCase__							,				10	)
						insert(UpperCAmelCase__							,				25	)
						insert(UpperCAmelCase__							,				6	)
						insert(UpperCAmelCase__							,				14	)
						insert(UpperCAmelCase__							,				20	)
						insert(UpperCAmelCase__							,				60	)
						return root
def 					__magic_name__(       ):
						# main function
						UpperCamelCase_     :	Optional[int]					     =     make_tree()
						print("""Printing values of binary search tree in Inorder Traversal."""	)
						inorder(UpperCAmelCase__	)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()






'''simple docstring'''


import unittest

import numpy as np

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
	import tensorflow as tf

	from transformers.activations_tf import get_tf_activation




@require_tf
class     __snake_case			(    unittest.TestCase	):




		def 	_snake_case	(  self					:Tuple)					->			List[Any]:






								'''simple docstring'''






								UpperCamelCase_     :	List[str]					     =     tf.constant([-1_0_0, -1.0, -0.1, 0, 0.1, 1.0, 100.0])
								UpperCamelCase_     :	Any					     =     get_tf_activation("""gelu""")
								UpperCamelCase_     :	List[Any]					     =     get_tf_activation("""gelu_10""")

								UpperCamelCase_     :	Optional[int]					     =     gelu(_SCREAMING_SNAKE_CASE)
								UpperCamelCase_     :	Dict					     =     geluaa(_SCREAMING_SNAKE_CASE)

								UpperCamelCase_     :	List[Any]					     =     tf.where(y_gelu_aa < 10.0			,    1.0			,    0.0)

								self.assertEqual(tf.math.reduce_max(_SCREAMING_SNAKE_CASE).numpy().item()			,    10.0)
								self.assertTrue(np.allclose(y_gelu * clipped_mask			,    y_gelu_aa * clipped_mask))





		def 	_snake_case	(  self					:Any)					->			Dict:






								'''simple docstring'''






								get_tf_activation("""gelu""")
								get_tf_activation("""gelu_10""")
								get_tf_activation("""gelu_fast""")
								get_tf_activation("""gelu_new""")
								get_tf_activation("""glu""")
								get_tf_activation("""mish""")
								get_tf_activation("""quick_gelu""")
								get_tf_activation("""relu""")
								get_tf_activation("""sigmoid""")
								get_tf_activation("""silu""")
								get_tf_activation("""swish""")
								get_tf_activation("""tanh""")
								with self.assertRaises(_SCREAMING_SNAKE_CASE):
														get_tf_activation("""bogus""")
								with self.assertRaises(_SCREAMING_SNAKE_CASE):
														get_tf_activation(_SCREAMING_SNAKE_CASE)




