


'''simple docstring'''



import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__=7					):
			UpperCAmelCase__  :					Tuple        =     None
			if token is not None:
						UpperCAmelCase__  :					Dict        =     {"""Accept""": """application/vnd.github+json""", """Authorization""": f'''Bearer {token}'''}

			# The id of a workflow (not of a workflow run)
			UpperCAmelCase__  :					Optional[int]        =     """636036"""

			UpperCAmelCase__  :					Any        =     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__  :					Optional[int]        =     requests.get(UpperCamelCase__ ,      headers=UpperCamelCase__					).json()

			return result["workflow_runs"]







def     _UpperCamelCase      (		UpperCamelCase__					):
			UpperCAmelCase__  :					List[str]        =     get_daily_ci_runs(UpperCamelCase__					)
			UpperCAmelCase__  :					Dict        =     None
			for workflow_run in workflow_runs:
						if workflow_run["status"] == "completed":
									UpperCAmelCase__  :					Tuple        =     workflow_run["""id"""]
									break

			return workflow_run_id







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__					):
			UpperCAmelCase__  :					str        =     get_last_daily_ci_runs(UpperCamelCase__					)
			if workflow_run_id is not None:
						UpperCAmelCase__  :					str        =     get_artifacts_links(worflow_run_id=UpperCamelCase__ ,      token=UpperCamelCase__					)
						for artifact_name in artifact_names:
									if artifact_name in artifacts_links:
												UpperCAmelCase__  :					Optional[int]        =     artifacts_links[artifact_name]
												download_artifact(
												    artifact_name=UpperCamelCase__ ,      artifact_url=UpperCamelCase__ ,      output_dir=UpperCamelCase__ ,      token=UpperCamelCase__					)







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__					):
			get_last_daily_ci_artifacts(UpperCamelCase__ ,      UpperCamelCase__ ,      UpperCamelCase__					)

			UpperCAmelCase__  :					List[str]        =     {}
			for artifact_name in artifact_names:
						UpperCAmelCase__  :					Dict        =     os.path.join(UpperCamelCase__ ,      f'''{artifact_name}.zip'''					)
						if os.path.isfile(UpperCamelCase__					):
									UpperCAmelCase__  :					str        =     {}
									with zipfile.ZipFile(UpperCamelCase__					) as z:
												for filename in z.namelist():
															if not os.path.isdir(UpperCamelCase__					):
																		# read the file
																		with z.open(UpperCamelCase__					) as f:
																					UpperCAmelCase__  :					List[str]        =     f.read().decode("""UTF-8"""					)

			return results



'''simple docstring'''



import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


__A	='scheduler_config.json'


class 		_snake_case					(     a__	):
					lowerCAmelCase      :Union[str, Any]   =					1
					lowerCAmelCase      :Union[str, Any]   =					2
					lowerCAmelCase      :Optional[int]   =					3
					lowerCAmelCase      :Optional[int]   =					4
					lowerCAmelCase      :Any   =					5
					lowerCAmelCase      :Tuple   =					6
					lowerCAmelCase      :List[Any]   =					7
					lowerCAmelCase      :str   =					8
					lowerCAmelCase      :List[Any]   =					9
					lowerCAmelCase      :List[str]   =					10
					lowerCAmelCase      :Union[str, Any]   =					11
					lowerCAmelCase      :Optional[int]   =					12
					lowerCAmelCase      :str   =					13
					lowerCAmelCase      :Dict   =					14


@dataclass
class 		_snake_case					(     a__	):
					lowerCAmelCase      :torch.FloatTensor


class 		_snake_case					:
					lowerCAmelCase      :str   =					SCHEDULER_CONFIG_NAME
					lowerCAmelCase      :Union[str, Any]   =					[]
					lowerCAmelCase      :List[str]   =					True




					@classmethod
					def 				snake_case__						(      cls							,							_lowerCamelCase = None							,							_lowerCamelCase = None							,							_lowerCamelCase=False							,							**_lowerCamelCase							,							):
								UpperCAmelCase__   ,       UpperCAmelCase__   ,       UpperCAmelCase__  :					Optional[int]        =     cls.load_config(
								    pretrained_model_name_or_path=_lowerCamelCase							,							subfolder=_lowerCamelCase							,							return_unused_kwargs=_lowerCamelCase							,							return_commit_hash=_lowerCamelCase							,							**_lowerCamelCase							,							)
								return cls.from_config(_lowerCamelCase							,							return_unused_kwargs=_lowerCamelCase							,							**_lowerCamelCase)




					def 				snake_case__						(      self							,							_lowerCamelCase							,							_lowerCamelCase = False							,							**_lowerCamelCase):
								self.save_config(save_directory=_lowerCamelCase							,							push_to_hub=_lowerCamelCase							,							**_lowerCamelCase)




					@property
					def 				snake_case__						(      self):
								return self._get_compatibles()




					@classmethod
					def 				snake_case__						(      cls):
								UpperCAmelCase__  :					List[Any]        =     list(set([cls.__name__] + cls._compatibles))
								UpperCAmelCase__  :					int        =     importlib.import_module(__name__.split(""".""")[0])
								UpperCAmelCase__  :					Dict        =     [
								    getattr(_lowerCamelCase							,							_lowerCamelCase) for c in compatible_classes_str if hasattr(_lowerCamelCase							,							_lowerCamelCase)
								]
								return compatible_classes