






"""simple docstring"""
import json
import sys

def 							snake_case (  A__      ,A__		):
			with open(A__      ,encoding="utf-8"		) as f:
						UpperCAmelCase_	:					str     	=   json.load(A__		)

			UpperCAmelCase_	:					int     	=   ["<details>", "<summary>Show updated benchmarks!</summary>", " "]

			for benchmark_name in sorted(A__		):
						UpperCAmelCase_	:					List[Any]     	=   results[benchmark_name]

						UpperCAmelCase_	:					Optional[int]     	=   benchmark_name.split("/"		)[-1]
						output_md.append(F"""### Benchmark: {benchmark_file_name}"""		)

						UpperCAmelCase_	:					Dict     	=   "| metric |"
						UpperCAmelCase_	:					Dict     	=   "|--------|"
						UpperCAmelCase_	:					Dict     	=   "| new / old (diff) |"
						for metric_name in sorted(A__		):
									UpperCAmelCase_	:					Union[str, Any]     	=   benchmark_res[metric_name]
									UpperCAmelCase_	:					List[Any]     	=   metric_vals["new"]
									UpperCAmelCase_	:					List[Any]     	=   metric_vals.get("old"      ,A__		)
									UpperCAmelCase_	:					List[Any]     	=   metric_vals.get("diff"      ,A__		)

									UpperCAmelCase_	:					List[Any]     	=   F""" {new_val:f}""" if isinstance(A__      ,(int, float)		) else "None"

									if old_val is not None:
												val_str += F""" / {old_val:f}""" if isinstance(A__      ,(int, float)		) else "None"
									if dif_val is not None:
												val_str += F""" ({dif_val:f})""" if isinstance(A__      ,(int, float)		) else "None"

									title += " " + metric_name + " |"
									lines += "---|"
									value += val_str + " |"

						output_md += [title, lines, value, " "]

			output_md.append("</details>"		)

			with open(A__      ,"w"      ,encoding="utf-8"		) as f:
						f.writelines("\n".join(A__		)		)


if __name__ == "__main__":
			lowerCamelCase_							      = sys.argv[1]
			lowerCamelCase_							      = sys.argv[2]

			format_json_to_md(input_json_file, output_md_file)











"""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)

lowerCamelCase_							      = logging.getLogger()

def 							snake_case (  ):
			UpperCAmelCase_	:					str     	=   argparse.ArgumentParser()
			parser.add_argument("-f"		)
			UpperCAmelCase_	:					Optional[Any]     	=   parser.parse_args()
			return args.f







class      UpperCamelCase_			(__A	):





	def 	_SCREAMING_SNAKE_CASE ( self   :					str		)		->     None:
				UpperCAmelCase_	:					List[str]     	=   logging.StreamHandler(sys.stdout		)
				logger.addHandler(lowerCAmelCase_		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					int      ,      lowerCAmelCase_   :					List[str]		)		->     Tuple:
				UpperCAmelCase_	:					Optional[int]     	=   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_		):
										UpperCAmelCase_	:					Dict     	=   run_glue_deebert.main()
										for value in result.values():
													self.assertGreaterEqual(lowerCAmelCase_      ,      0.6_6_6		)





	@slow
	@require_torch_non_multi_gpu
	def 	_SCREAMING_SNAKE_CASE ( self   :					Dict		)		->     int:
				UpperCAmelCase_	:					Tuple     	=   "\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(lowerCAmelCase_		)

				UpperCAmelCase_	:					Union[str, Any]     	=   "\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(lowerCAmelCase_		)

				UpperCAmelCase_	:					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            --early_exit_entropy 0.1\n            --eval_highway\n            --overwrite_cache\n            --per_gpu_eval_batch_size=1\n            ".split()
				self.run_and_check(lowerCAmelCase_		)



