



"""simple docstring"""


import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_=7						):
						UpperCAmelCase					=			None
						if token is not None:
												UpperCAmelCase					=			{'Accept': 'application/vnd.github+json', 'Authorization': F"""Bearer {token}"""}

						# The id of a workflow (not of a workflow run)
						UpperCAmelCase					=			'636036'

						UpperCAmelCase					=			F"""https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs"""
						# On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
						url += F"""?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}"""

						UpperCAmelCase					=			requests.get(lowercase_		,     headers=lowercase_						).json()

						return result["workflow_runs"]

def 			_lowerCAmelCase				(       lowercase_						):
						UpperCAmelCase					=			get_daily_ci_runs(lowercase_						)
						UpperCAmelCase					=			None
						for workflow_run in workflow_runs:
												if workflow_run["status"] == "completed":
																		UpperCAmelCase					=			workflow_run['id']
																		break

						return workflow_run_id

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_		,     lowercase_						):
						UpperCAmelCase					=			get_last_daily_ci_runs(lowercase_						)
						if workflow_run_id is not None:
												UpperCAmelCase					=			get_artifacts_links(worflow_run_id=lowercase_		,     token=lowercase_						)
												for artifact_name in artifact_names:
																		if artifact_name in artifacts_links:
																								UpperCAmelCase					=			artifacts_links[artifact_name]
																								download_artifact(
																								    artifact_name=lowercase_		,     artifact_url=lowercase_		,     output_dir=lowercase_		,     token=lowercase_						)






def 			_lowerCAmelCase				(       lowercase_		,     lowercase_		,     lowercase_						):
						get_last_daily_ci_artifacts(lowercase_		,     lowercase_		,     lowercase_						)

						UpperCAmelCase					=			{}
						for artifact_name in artifact_names:
												UpperCAmelCase					=			os.path.join(lowercase_		,     F"""{artifact_name}.zip"""						)
												if os.path.isfile(lowercase_						):
																		UpperCAmelCase					=			{}
																		with zipfile.ZipFile(lowercase_						) as z:
																								for filename in z.namelist():
																														if not os.path.isdir(lowercase_						):
																																				# read the file
																																				with z.open(lowercase_						) as f:
																																										UpperCAmelCase					=			f.read().decode('UTF-8'						)

						return results










"""simple docstring"""


import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp

def 			_lowerCAmelCase				(       ):
						UpperCAmelCase					=			ArgumentParser(
						    description=(
						        'PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes'
						    )						)

						# Optional arguments for the launch helper
						parser.add_argument('--num_cores'		,     type=lowercase_		,     default=1		,     help='Number of TPU cores to use (1 or 8).'						)

						# positional
						parser.add_argument(
						    'training_script'		,     type=lowercase_		,     help=(
						        'The full path to the single TPU training '
						        'program/script to be launched in parallel, '
						        'followed by all the arguments for the '
						        'training script'
						    )		,     )

						# rest from the training program
						parser.add_argument('training_script_args'		,     nargs=lowercase_						)

						return parser.parse_args()

def 			_lowerCAmelCase				(       ):
						UpperCAmelCase					=			parse_args()

						# Import training_script as a module.
						UpperCAmelCase					=			Path(args.training_script						)
						sys.path.append(str(script_fpath.parent.resolve()						)						)
						UpperCAmelCase					=			script_fpath.stem
						UpperCAmelCase					=			importlib.import_module(lowercase_						)

						# Patch sys.argv
						UpperCAmelCase					=			[args.training_script] + args.training_script_args + ['--tpu_num_cores', str(args.num_cores						)]

						xmp.spawn(mod._mp_fn		,     args=()		,     nprocs=args.num_cores						)


if __name__ == "__main__":
				main()





