
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)

_A   =			logging.getLogger()



def 						lowercase_      (       )							->							Dict:
    """simple docstring"""

    snake_case								= argparse.ArgumentParser()
    parser.add_argument("-f"		)
    snake_case								= parser.parse_args()
    return args.f







class 					lowerCamelCase		(  A_  ):





     def 		UpperCAmelCase(self				:   List[Any]       )						->						None:
         snake_case								= logging.StreamHandler(sys.stdout       )
         logger.addHandler(_A       )





     def 		UpperCAmelCase(self				:   Optional[Any]    ,   _A				:   int       )						->						Optional[Any]:
         snake_case								= 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(_A    ,   "argv"    ,   _A       ):
                 snake_case								= run_glue_deebert.main()
                 for value in result.values():
                     self.assertGreaterEqual(_A    ,   0.6_66       )





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

         snake_case								= "\n            --model_type roberta\n            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --task_name MRPC\n            --do_eval\n            --do_lower_case\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --plot_data_dir ./examples/deebert/results/\n            --max_seq_length 128\n            --eval_each_highway\n            --eval_highway\n            --overwrite_cache\n            --per_gpu_eval_batch_size=1\n            ".split()
         self.run_and_check(_A       )

         snake_case								= "\n            --model_type roberta\n            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --task_name MRPC\n            --do_eval\n            --do_lower_case\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --plot_data_dir ./examples/deebert/results/\n            --max_seq_length 128\n            --early_exit_entropy 0.1\n            --eval_highway\n            --overwrite_cache\n            --per_gpu_eval_batch_size=1\n            ".split()
         self.run_and_check(_A       )



class 					lowerCamelCase		:





     def __init__(self				:   List[Any]    ,   _A				:   str       )						->						Any:
         # we need a list not a string, so do something to change the type
         snake_case								= arr.split(","       )





     def 		UpperCAmelCase(self				:   str       )						->						str:
         snake_case								= [int(self.array[0]       )] * len(self.array       )
         snake_case								= [int(self.array[0]       )] * len(self.array       )
         for i in range(1    ,   len(self.array       )       ):
             snake_case								= max(
                 int(self.array[i]       ) + sum_value[i - 1]    ,   int(self.array[i]       )       )
             snake_case								= max(sum_value[i]    ,   rear[i - 1]       )
         return rear[len(self.array       ) - 1]


if __name__ == "__main__":
   _A   =			input("please input some numbers:")
   _A   =			SubArray(whole_array)
   _A   =			array.solve_sub_array()
   print(("the results is:", re))

