
import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests



def 	UpperCamelCase   (							lowerCAmelCase__		):
					'''simple docstring'''
					lowercase						     =						{}

					lowercase						     =						job['''started_at''']
					lowercase						     =						job['''completed_at''']

					lowercase						     =						date_parser.parse(lowerCAmelCase__		)
					lowercase						     =						date_parser.parse(lowerCAmelCase__		)

					lowercase						     =						round((end_datetime - start_datetime).total_seconds() / 60.0		)

					lowercase						     =						start
					lowercase						     =						end
					lowercase						     =						duration_in_min

					return job_info



def 	UpperCamelCase   (							lowerCAmelCase__			,      lowerCAmelCase__=None		):
					'''simple docstring'''
					lowercase						     =						None
					if token is not None:
										lowercase						     =						{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f'Bearer {token}'}

					lowercase						     =						f'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
					lowercase						     =						requests.get(lowerCAmelCase__			,      headers=lowerCAmelCase__		).json()
					lowercase						     =						{}

					try:
										job_time.update({job['''name''']: extract_time_from_single_job(lowerCAmelCase__		) for job in result['''jobs''']}		)
										lowercase						     =						math.ceil((result['''total_count'''] - 100) / 100		)

										for i in range(lowerCAmelCase__		):
															lowercase						     =						requests.get(url + f'&page={i + 2}'			,      headers=lowerCAmelCase__		).json()
															job_time.update({job['''name''']: extract_time_from_single_job(lowerCAmelCase__		) for job in result['''jobs''']}		)

										return job_time
					except Exception:
										print(f'Unknown error, could not fetch links:\n{traceback.format_exc()}'		)

					return {}


if __name__ == "__main__":
							lowercase__		:List[Any]			  =   argparse.ArgumentParser()
							# Required parameters
							parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
							lowercase__		:Dict			  =   parser.parse_args()

							lowercase__		:Tuple			  =   get_job_time(args.workflow_run_id)
							lowercase__		:Optional[int]			  =   dict(sorted(job_time.items(), key=lambda item: item[1]["duration"], reverse=True))

							for k, v in job_time.items():
														print(F'{k}: {v["duration"]}')






from pathlib import Path

import fire
from tqdm import tqdm



def 	UpperCamelCase   (							lowerCAmelCase__="ro"			,      lowerCAmelCase__="en"			,      lowerCAmelCase__="wmt16"			,      lowerCAmelCase__=None		):
					'''simple docstring'''
					try:
										import datasets
					except (ModuleNotFoundError, ImportError):
										raise ImportError('''run pip install datasets'''		)
					lowercase						     =						f'{src_lang}-{tgt_lang}'
					print(f'Converting {dataset}-{pair}'		)
					lowercase						     =						datasets.load_dataset(lowerCAmelCase__			,      lowerCAmelCase__		)
					if save_dir is None:
										lowercase						     =						f'{dataset}-{pair}'
					lowercase						     =						Path(lowerCAmelCase__		)
					save_dir.mkdir(exist_ok=lowerCAmelCase__		)

					for split in ds.keys():
										print(f'Splitting {split} with {ds[split].num_rows} records'		)

										# to save to val.source, val.target like summary datasets
										lowercase						     =						'''val''' if split == '''validation''' else split
										lowercase						     =						save_dir.joinpath(f'{fn}.source'		)
										lowercase						     =						save_dir.joinpath(f'{fn}.target'		)
										lowercase						     =						src_path.open('''w+'''		)
										lowercase						     =						tgt_path.open('''w+'''		)

										# reader is the bottleneck so writing one record at a time doesn't slow things down
										for x in tqdm(ds[split]		):
															lowercase						     =						x['''translation''']
															src_fp.write(ex[src_lang] + '''\n'''		)
															tgt_fp.write(ex[tgt_lang] + '''\n'''		)

					print(f'Saved {dataset} dataset to {save_dir}'		)


if __name__ == "__main__":
							fire.Fire(download_wmt_dataset)




