



"""simple docstring"""






import argparse
import logging
import sys
from unittest.mock import patch

import run_glue_deebert

from transformers.testing_utils import TestCasePlus, get_gpu_count, require_torch_non_multi_gpu, slow


logging.basicConfig(level=logging.DEBUG)

_lowercase				:				Any   		=		logging.getLogger()






def   snake_case__     (	):
			"""simple docstring"""
			lowerCamelCase__	:	Any				=argparse.ArgumentParser()
			parser.add_argument('''-f'''			)
			lowerCamelCase__	:	Dict				=parser.parse_args()
			return args.f

class  __SCREAMING_SNAKE_CASE    (   lowerCAmelCase_     ):


					'''simple docstring'''





					def 	snake_case ( self							:						Dict  )->      None:
								lowerCamelCase__	:	Dict				=logging.StreamHandler(sys.stdout  )
								logger.addHandler(lowerCamelCase  )



					def 	snake_case ( self							:						Any,						lowerCamelCase							:						Optional[int]  )->      Any:
								lowerCamelCase__	:	List[Any]				=get_gpu_count()

								if n_gpu > 1:
											pass
											# XXX: doesn't quite work with n_gpu > 1 https://github.com/huggingface/transformers/issues/10560
											# script = f"{self.examples_dir_str}/research_projects/deebert/run_glue_deebert.py"
											# distributed_args = f"-m torch.distributed.launch --nproc_per_node={n_gpu} {script}".split()
											# cmd = [sys.executable] + distributed_args + args
											# execute_subprocess_async(cmd, env=self.get_env())
											# XXX: test the results - need to save them first into .json file
								else:
											args.insert(0,						'''run_glue_deebert.py'''  )
											with patch.object(lowerCamelCase,						'''argv''',						lowerCamelCase  ):
														lowerCamelCase__	:	Tuple				=run_glue_deebert.main()
														for value in result.values():
																	self.assertGreaterEqual(lowerCamelCase,						0.666  )




					@slow
					@require_torch_non_multi_gpu
					def 	snake_case ( self							:						Tuple  )->      int:
								lowerCamelCase__	:	List[Any]				='''
            --model_type roberta
            --model_name_or_path roberta-base
            --task_name MRPC
            --do_train
            --do_eval
            --do_lower_case
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --max_seq_length 128
            --per_gpu_eval_batch_size=1
            --per_gpu_train_batch_size=8
            --learning_rate 2e-4
            --num_train_epochs 3
            --overwrite_output_dir
            --seed 42
            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --plot_data_dir ./examples/deebert/results/
            --save_steps 0
            --overwrite_cache
            --eval_after_first_stage
            '''.split()
								self.run_and_check(lowerCamelCase  )

								lowerCamelCase__	:	Any				='''
            --model_type roberta
            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --task_name MRPC
            --do_eval
            --do_lower_case
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --plot_data_dir ./examples/deebert/results/
            --max_seq_length 128
            --eval_each_highway
            --eval_highway
            --overwrite_cache
            --per_gpu_eval_batch_size=1
            '''.split()
								self.run_and_check(lowerCamelCase  )

								lowerCamelCase__	:	Union[str, Any]				='''
            --model_type roberta
            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --task_name MRPC
            --do_eval
            --do_lower_case
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage
            --plot_data_dir ./examples/deebert/results/
            --max_seq_length 128
            --early_exit_entropy 0.1
            --eval_highway
            --overwrite_cache
            --per_gpu_eval_batch_size=1
            '''.split()
								self.run_and_check(lowerCamelCase  )









"""simple docstring"""






import os






def   snake_case__     (	):
			"""simple docstring"""
			with open(os.path.dirname(__lowerCamelCase			) + '''/p022_names.txt'''			) as file:
						lowerCamelCase__	:	Tuple				=str(file.readlines()[0]			)
						lowerCamelCase__	:	int				=names.replace('''"'''							,	''''''			).split(''','''			)

			names.sort()

			lowerCamelCase__	:	Union[str, Any]				=0
			lowerCamelCase__	:	str				=0

			for i, name in enumerate(__lowerCamelCase			):
						for letter in name:
									name_score += ord(__lowerCamelCase			) - 64

						total_score += (i + 1) * name_score
						lowerCamelCase__	:	Dict				=0
			return total_score


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




