





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  __A   (   unittest.TestCase			):

			'''simple docstring'''







			def 		__lowerCamelCase    (   self							):



				'''simple docstring'''







				lowerCamelCase__        =		tf.constant([-1_0_0, -1.0, -0.1, 0, 0.1, 1.0, 100.0]							)
				lowerCamelCase__        =		get_tf_activation('''gelu'''							)
				lowerCamelCase__        =		get_tf_activation('''gelu_10'''							)

				lowerCamelCase__        =		gelu(__lowerCAmelCase							)
				lowerCamelCase__        =		geluaa(__lowerCAmelCase							)

				lowerCamelCase__        =		tf.where(y_gelu_aa < 10.0	,  1.0	,  0.0							)

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





			def 		__lowerCamelCase    (   self							):



				'''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(__lowerCAmelCase							):
					get_tf_activation('''bogus'''							)
				with self.assertRaises(__lowerCAmelCase							):
					get_tf_activation(__lowerCAmelCase							)










import os





def lowerCAmelCase__()    ->				int:







	'''simple docstring'''







	lowerCamelCase__        =		os.path.dirname(os.path.realpath(__snake_case							)							)
	lowerCamelCase__        =		os.path.join(__snake_case	,'''triangle.txt'''							)

	with open(__snake_case							) as in_file:
		lowerCamelCase__        =		[[int(__snake_case							) for i in line.split()] for line in in_file]

	while len(__snake_case							) != 1:
		lowerCamelCase__        =		triangle.pop()
		lowerCamelCase__        =		triangle[-1]
		for j in range(len(__snake_case							) - 1							):
			curr_row[j] += max(last_row[j]	,last_row[j + 1]							)
	return triangle[0][0]


if __name__ == "__main__":
			print(solution())



