


'''simple docstring'''



import os







def     _UpperCamelCase      (		):
			UpperCAmelCase__  :					str        =     os.path.dirname(os.path.realpath(UpperCamelCase__					)					)
			UpperCAmelCase__  :					Optional[int]        =     os.path.join(UpperCamelCase__ ,      """triangle.txt"""					)

			with open(UpperCamelCase__					) as f:
						UpperCAmelCase__  :					Dict        =     f.readlines()

			UpperCAmelCase__  :					str        =     []
			for line in triangle:
						UpperCAmelCase__  :					Optional[int]        =     []
						for number in line.strip().split(""" """					):
									numbers_from_line.append(int(UpperCamelCase__					)					)
						a.append(UpperCamelCase__					)

			for i in range(1 ,      len(UpperCamelCase__					)					):
						for j in range(len(a[i]					)					):
									UpperCAmelCase__  :					Union[str, Any]        =     a[i - 1][j] if j != len(a[i - 1]					) else 0
									UpperCAmelCase__  :					Optional[int]        =     a[i - 1][j - 1] if j > 0 else 0
									a[i][j] += max(UpperCamelCase__ ,      UpperCamelCase__					)
			return max(a[-1]					)


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



'''simple docstring'''



import unittest

from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow


if is_flax_available():
		import jax.numpy as jnp

		from transformers import FlaxXLMRobertaModel


@require_sentencepiece
@require_tokenizers
@require_flax
class 		_snake_case					(     unittest.TestCase	):




					@slow
					def 				snake_case__						(      self):
								UpperCAmelCase__  :					Union[str, Any]        =     FlaxXLMRobertaModel.from_pretrained("""xlm-roberta-base""")
								UpperCAmelCase__  :					List[str]        =     AutoTokenizer.from_pretrained("""xlm-roberta-base""")
								UpperCAmelCase__  :					Dict        =     """The dog is cute and lives in the garden house"""
								UpperCAmelCase__  :					Dict        =     jnp.array([tokenizer.encode(_lowerCamelCase)])

								UpperCAmelCase__  :					int        =     (1, 12, 768)  # batch_size, sequence_length, embedding_vector_dim
								UpperCAmelCase__  :					Any        =     jnp.array(
								    [[-0.0101, 0.1218, -0.0803, 0.0801, 0.1327, 0.0776, -0.1215, 0.2383, 0.3338, 0.3106, 0.0300, 0.0252]])

								UpperCAmelCase__  :					Any        =     model(_lowerCamelCase)["""last_hidden_state"""]
								self.assertEqual(output.shape							,							_lowerCamelCase)
								# compare the actual values for a slice of last dim
								self.assertTrue(jnp.allclose(output[:, :, -1]							,							_lowerCamelCase							,							atol=1e-3))