






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 						lowerCamelCase   (unittest.TestCase    ):







		'''simple docstring'''



		def       __UpperCAmelCase    (							self     )			->							List[str]:
							UpperCAmelCase_					:   Union[str, Any]   =		tf.constant([-1_0_0, -1.0, -0.1, 0, 0.1, 1.0, 1_00.0]     )
							UpperCAmelCase_					:   int   =		get_tf_activation('gelu'     )
							UpperCAmelCase_					:   int   =		get_tf_activation('gelu_10'     )

							UpperCAmelCase_					:   Optional[int]   =		gelu(_UpperCamelCase     )
							UpperCAmelCase_					:   Optional[int]   =		geluaa(_UpperCamelCase     )

							UpperCAmelCase_					:   str   =		tf.where(y_gelu_aa < 10.0       ,	1.0       ,	0.0     )

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



		def       __UpperCAmelCase    (							self     )			->							Union[str, Any]:
							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(_UpperCamelCase     ):
												get_tf_activation('bogus'     )
							with self.assertRaises(_UpperCamelCase     ):
												get_tf_activation(_UpperCamelCase     )














from __future__ import annotations



class 						lowerCamelCase   :







		'''simple docstring'''



		def __init__(							self       ,	_UpperCamelCase = 0     )			->							None:
							UpperCAmelCase_					:   int   =		value
							UpperCAmelCase_					:   Node | None   =		None
							UpperCAmelCase_					:   Node | None   =		None





def   lowercase__   (  __snake_case					:							Node | None  , __snake_case					:							Node | None						):


					'''simple docstring'''


					if treea is None:
										return treea
					if treea is None:
										return treea

					UpperCAmelCase_					:   List[Any]   =		treea.value + treea.value
					UpperCAmelCase_					:   Dict   =		merge_two_binary_trees(treea.left  , treea.left						)
					UpperCAmelCase_					:   str   =		merge_two_binary_trees(treea.right  , treea.right						)
					return treea




def   lowercase__   (  __snake_case					:							Node | None						):


					'''simple docstring'''


					if root:
										print(root.value						)
										print_preorder(root.left						)
										print_preorder(root.right						)


if __name__ == "__main__":
		__UpperCAmelCase										=		Node(1)
		__UpperCAmelCase										=		Node(2)
		__UpperCAmelCase										=		Node(3)
		__UpperCAmelCase										=		Node(4)

		__UpperCAmelCase										=		Node(2)
		__UpperCAmelCase										=		Node(4)
		__UpperCAmelCase										=		Node(6)
		__UpperCAmelCase										=		Node(9)
		__UpperCAmelCase										=		Node(5)

		print('Tree1 is: ')
		print_preorder(treea)
		print('Tree2 is: ')
		print_preorder(treea)
		__UpperCAmelCase										=		merge_two_binary_trees(treea, treea)
		print('Merged Tree is: ')
		print_preorder(merged_tree)






