






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)

UpperCAmelCase__      			=						logging.getLogger()







def     a_   ()				->						Optional[Any]:



					"""simple docstring"""
					__a					:						List[Any]      =					argparse.ArgumentParser()
					parser.add_argument("-f"      )
					__a					:						Optional[int]      =					parser.parse_args()
					return args.f




class 							snake_case_       (    __UpperCamelCase      ):

						"""simple docstring"""



						def        UpperCAmelCase__					(self:					Any   )    ->     None:




											'''simple docstring'''



											__a					:						List[str]      =					logging.StreamHandler(sys.stdout   )
											logger.addHandler(__UpperCAmelCase   )



						def        UpperCAmelCase__					(self:					Optional[Any] ,					__UpperCAmelCase:					Tuple   )    ->     List[str]:




											'''simple docstring'''



											__a					:						List[str]      =					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(__UpperCAmelCase ,					"argv" ,					__UpperCAmelCase   ):
																					__a					:						Any      =					run_glue_deebert.main()
																					for value in result.values():
																										self.assertGreaterEqual(__UpperCAmelCase ,					0.6_66   )



						@slow
						@require_torch_non_multi_gpu
						def        UpperCAmelCase__					(self:					Optional[int]   )    ->     Any:




											'''simple docstring'''



											__a					:						str      =					"\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(__UpperCAmelCase   )

											__a					:						str      =					"\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(__UpperCAmelCase   )

											__a					:						Tuple      =					"\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(__UpperCAmelCase   )













from abc import ABC, abstractmethod
from argparse import ArgumentParser




class 							snake_case_       (    __UpperCamelCase      ):

						"""simple docstring"""



						@staticmethod
						@abstractmethod
						def        UpperCAmelCase__					(__UpperCAmelCase:					ArgumentParser   )    ->     Tuple:




											'''simple docstring'''



											raise NotImplementedError()



						@abstractmethod
						def        UpperCAmelCase__					(self:					List[str]   )    ->     List[str]:




											'''simple docstring'''



											raise NotImplementedError()





