'''simple docstring'''




import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests




def 							lowerCamelCase	(      UpperCAmelCase__       :					Union[str, Any]      ,      UpperCAmelCase__       :					Dict=None )			->      int:
							lowercase_					:			Any										=       None
							if token is not None:
														lowercase_					:			Any										=       {"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

							lowercase_					:			str										=       F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'''
							lowercase_					:			Tuple										=       requests.get(UpperCAmelCase__      ,      headers=UpperCAmelCase__ ).json()
							lowercase_					:			List[str]										=       {}

							try:
														job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]} )
														lowercase_					:			List[str]										=       math.ceil((result["""total_count"""] - 100) / 100 )

														for i in range(UpperCAmelCase__ ):
																					lowercase_					:			Union[str, Any]										=       requests.get(url + F'''&page={i + 2}'''      ,      headers=UpperCAmelCase__ ).json()
																					job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]} )

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

							return {}




def 							lowerCamelCase	(      UpperCAmelCase__       :					Optional[Any]      ,      UpperCAmelCase__       :					Any=None )			->      int:
							lowercase_					:			List[Any]										=       None
							if token is not None:
														lowercase_					:			int										=       {"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

							lowercase_					:			List[Any]										=       F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'''
							lowercase_					:			List[Any]										=       requests.get(UpperCAmelCase__      ,      headers=UpperCAmelCase__ ).json()
							lowercase_					:			str										=       {}

							try:
														artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]} )
														lowercase_					:			Any										=       math.ceil((result["""total_count"""] - 100) / 100 )

														for i in range(UpperCAmelCase__ ):
																					lowercase_					:			Any										=       requests.get(url + F'''&page={i + 2}'''      ,      headers=UpperCAmelCase__ ).json()
																					artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]} )

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

							return {}




def 							lowerCamelCase	(      UpperCAmelCase__       :					Optional[int]      ,      UpperCAmelCase__       :					List[str]      ,      UpperCAmelCase__       :					Dict      ,      UpperCAmelCase__       :					str )			->      Optional[int]:
							lowercase_					:			str										=       None
							if token is not None:
														lowercase_					:			Any										=       {"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

							lowercase_					:			Dict										=       requests.get(UpperCAmelCase__      ,      headers=UpperCAmelCase__      ,      allow_redirects=UpperCAmelCase__ )
							lowercase_					:			List[str]										=       result.headers["""Location"""]
							lowercase_					:			Tuple										=       requests.get(UpperCAmelCase__      ,      allow_redirects=UpperCAmelCase__ )
							lowercase_					:			Optional[Any]										=       os.path.join(UpperCAmelCase__      ,      F'''{artifact_name}.zip''' )
							with open(UpperCAmelCase__      ,      """wb""" ) as fp:
														fp.write(response.content )




def 							lowerCamelCase	(      UpperCAmelCase__       :					Tuple      ,      UpperCAmelCase__       :					Dict=None )			->      Optional[int]:
							lowercase_					:			int										=       []
							lowercase_					:			List[Any]										=       []
							lowercase_					:			Tuple										=       None

							with zipfile.ZipFile(UpperCAmelCase__ ) as z:
														for filename in z.namelist():
																					if not os.path.isdir(UpperCAmelCase__ ):
																												# read the file
																												if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
																																			with z.open(UpperCAmelCase__ ) as f:
																																										for line in f:
																																																	lowercase_					:			List[str]										=       line.decode("""UTF-8""" ).strip()
																																																	if filename == "failures_line.txt":
																																																								try:
																																																															# `error_line` is the place where `error` occurs
																																																															lowercase_					:			List[str]										=       line[: line.index(""": """ )]
																																																															lowercase_					:			int										=       line[line.index(""": """ ) + len(""": """ ) :]
																																																															errors.append([error_line, error] )
																																																								except Exception:
																																																															# skip un-related lines
																																																															pass
																																																	elif filename == "summary_short.txt" and line.startswith("""FAILED """ ):
																																																								# `test` is the test method that failed
																																																								lowercase_					:			int										=       line[len("""FAILED """ ) :]
																																																								failed_tests.append(UpperCAmelCase__ )
																																																	elif filename == "job_name.txt":
																																																								lowercase_					:			List[Any]										=       line

							if len(UpperCAmelCase__ ) != len(UpperCAmelCase__ ):
														raise ValueError(
														    F'''`errors` and `failed_tests` should have the same number of elements. Got {len(UpperCAmelCase__ )} for `errors` '''
														    F'''and {len(UpperCAmelCase__ )} for `failed_tests` instead. The test reports in {artifact_zip_path} have some'''
														    """ problem.""" )

							lowercase_					:			Optional[int]										=       None
							if job_name and job_links:
														lowercase_					:			Tuple										=       job_links.get(UpperCAmelCase__      ,      UpperCAmelCase__ )

							# A list with elements of the form (line of error, error, failed test)
							lowercase_					:			Tuple										=       [x + [y] + [job_link] for x, y in zip(UpperCAmelCase__      ,      UpperCAmelCase__ )]

							return result




def 							lowerCamelCase	(      UpperCAmelCase__       :					Any      ,      UpperCAmelCase__       :					Union[str, Any]=None )			->      List[Any]:
							lowercase_					:			Optional[int]										=       []

							lowercase_					:			List[str]										=       [os.path.join(UpperCAmelCase__      ,      UpperCAmelCase__ ) for p in os.listdir(UpperCAmelCase__ ) if p.endswith(""".zip""" )]
							for p in paths:
														errors.extend(get_errors_from_single_artifact(UpperCAmelCase__      ,      job_links=UpperCAmelCase__ ) )

							return errors




def 							lowerCamelCase	(      UpperCAmelCase__       :					int      ,      UpperCAmelCase__       :					Optional[Any]=None )			->      int:
							lowercase_					:			Any										=       Counter()
							counter.update([x[1] for x in logs] )
							lowercase_					:			Tuple										=       counter.most_common()
							lowercase_					:			Dict										=       {}
							for error, count in counts:
														if error_filter is None or error not in error_filter:
																					lowercase_					:			Any										=       {"""count""": count, """failed_tests""": [(x[2], x[0]) for x in logs if x[1] == error]}

							lowercase_					:			Union[str, Any]										=       dict(sorted(r.items()      ,      key=lambda UpperCAmelCase__ : item[1]["count"]      ,      reverse=UpperCAmelCase__ ) )
							return r




def 							lowerCamelCase	(      UpperCAmelCase__       :					str )			->      List[str]:
							lowercase_					:			Optional[int]										=       test.split("""::""" )[0]
							if test.startswith("""tests/models/""" ):
														lowercase_					:			Optional[Any]										=       test.split("""/""" )[2]
							else:
														lowercase_					:			int										=       None

							return test




def 							lowerCamelCase	(      UpperCAmelCase__       :					List[str]      ,      UpperCAmelCase__       :					Union[str, Any]=None )			->      Optional[int]:
							lowercase_					:			Union[str, Any]										=       [(x[0], x[1], get_model(x[2] )) for x in logs]
							lowercase_					:			Optional[Any]										=       [x for x in logs if x[2] is not None]
							lowercase_					:			str										=       {x[2] for x in logs}

							lowercase_					:			Optional[Any]										=       {}
							for test in tests:
														lowercase_					:			Optional[int]										=       Counter()
														# count by errors in `test`
														counter.update([x[1] for x in logs if x[2] == test] )
														lowercase_					:			Dict										=       counter.most_common()
														lowercase_					:			List[str]										=       {error: count for error, count in counts if (error_filter is None or error not in error_filter)}
														lowercase_					:			List[Any]										=       sum(error_counts.values() )
														if n_errors > 0:
																					lowercase_					:			int										=       {"""count""": n_errors, """errors""": error_counts}

							lowercase_					:			List[Any]										=       dict(sorted(r.items()      ,      key=lambda UpperCAmelCase__ : item[1]["count"]      ,      reverse=UpperCAmelCase__ ) )
							return r




def 							lowerCamelCase	(      UpperCAmelCase__       :					int )			->      Tuple:
							lowercase_					:			List[Any]										=       """| no. | error | status |"""
							lowercase_					:			Any										=       """|-:|:-|:-|"""
							lowercase_					:			Any										=       [header, sep]
							for error in reduced_by_error:
														lowercase_					:			Optional[Any]										=       reduced_by_error[error]["""count"""]
														lowercase_					:			List[Any]										=       F'''| {count} | {error[:100]} |  |'''
														lines.append(UpperCAmelCase__ )

							return "\n".join(UpperCAmelCase__ )




def 							lowerCamelCase	(      UpperCAmelCase__       :					List[str] )			->      Dict:
							lowercase_					:			Union[str, Any]										=       """| model | no. of errors | major error | count |"""
							lowercase_					:			Optional[int]										=       """|-:|-:|-:|-:|"""
							lowercase_					:			Optional[int]										=       [header, sep]
							for model in reduced_by_model:
														lowercase_					:			Dict										=       reduced_by_model[model]["""count"""]
														lowercase_						,						lowercase_					:			str										=       list(reduced_by_model[model]["""errors"""].items() )[0]
														lowercase_					:			Optional[int]										=       F'''| {model} | {count} | {error[:60]} | {_count} |'''
														lines.append(UpperCAmelCase__ )

							return "\n".join(UpperCAmelCase__ )


if __name__ == "__main__":
						_lowercase						: Optional[int]						=						argparse.ArgumentParser()
						# Required parameters
						parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
						parser.add_argument(
						    "--output_dir",
						    type=str,
						    required=True,
						    help="Where to store the downloaded artifacts and other result files.",
						)
						parser.add_argument("--token", default=None, type=str, help="A token that has actions:read permission.")
						_lowercase						: List[str]						=						parser.parse_args()

						os.makedirs(args.output_dir, exist_ok=True)

						_lowercase						: Tuple						=						get_job_links(args.workflow_run_id, token=args.token)
						_lowercase						: Any						=						{}
						# To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
						# For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
						if _job_links:
												for k, v in _job_links.items():
																		# This is how GitHub actions combine job names.
																		if " / " in k:
																								_lowercase						: Tuple						=						k.find(" / ")
																								_lowercase						: int						=						k[index + len(" / ") :]
																		_lowercase						: Optional[Any]						=						v
						with open(os.path.join(args.output_dir, "job_links.json"), "w", encoding="UTF-8") as fp:
												json.dump(job_links, fp, ensure_ascii=False, indent=4)

						_lowercase						: List[str]						=						get_artifacts_links(args.workflow_run_id, token=args.token)
						with open(os.path.join(args.output_dir, "artifacts.json"), "w", encoding="UTF-8") as fp:
												json.dump(artifacts, fp, ensure_ascii=False, indent=4)

						for idx, (name, url) in enumerate(artifacts.items()):
												download_artifact(name, url, args.output_dir, args.token)
												# Be gentle to GitHub
												time.sleep(1)

						_lowercase						: str						=						get_all_errors(args.output_dir, job_links=job_links)

						# `e[1]` is the error
						_lowercase						: List[Any]						=						Counter()
						counter.update([e[1] for e in errors])

						# print the top 30 most common test errors
						_lowercase						: Any						=						counter.most_common(30)
						for item in most_common:
												print(item)

						with open(os.path.join(args.output_dir, "errors.json"), "w", encoding="UTF-8") as fp:
												json.dump(errors, fp, ensure_ascii=False, indent=4)

						_lowercase						: Dict						=						reduce_by_error(errors)
						_lowercase						: int						=						reduce_by_model(errors)

						_lowercase						: str						=						make_github_table(reduced_by_error)
						_lowercase						: int						=						make_github_table_per_model(reduced_by_model)

						with open(os.path.join(args.output_dir, "reduced_by_error.txt"), "w", encoding="UTF-8") as fp:
												fp.write(sa)
						with open(os.path.join(args.output_dir, "reduced_by_model.txt"), "w", encoding="UTF-8") as fp:
												fp.write(sa)






'''simple docstring'''




import baseaa
import io
import json
import os
from copy import deepcopy

from ..optimizer import AcceleratedOptimizer
from ..scheduler import AcceleratedScheduler





class     __magic_name__						:







			def __init__(	self				:  str				,			lowercase_				:  Dict    ):
										if isinstance(lowercase_				,			lowercase_    ):
																	# Don't modify user's data should they want to reuse it (e.g. in tests), because once we
																	# modified it, it will not be accepted here again, since `auto` values would have been overridden
																	lowercase_					:			List[Any]										=       deepcopy(lowercase_    )
										elif os.path.exists(lowercase_    ):
																	with io.open(lowercase_				,			"""r"""				,			encoding="""utf-8"""    ) as f:
																								lowercase_					:			Union[str, Any]										=       json.load(lowercase_    )
										else:
																	try:
																								lowercase_					:			int										=       baseaa.urlsafe_baadecode(lowercase_    ).decode("""utf-8"""    )
																								lowercase_					:			str										=       json.loads(lowercase_    )
																	except (UnicodeDecodeError, AttributeError, ValueError):
																								raise ValueError(
																								    f'''Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: {config_file_or_dict}'''    )

										lowercase_					:			Any										=       config

										self.set_stage_and_offload()







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]    ):
										# zero stage - this is done as early as possible, before model is created, to allow
										# ``is_deepspeed_zero3_enabled`` query and getting to the early deepspeed config object
										# during ``zero.Init()`` which needs to know the dtype, and some other hparams.
										lowercase_					:			Tuple										=       self.get_value("""zero_optimization.stage"""				,			-1    )

										# offload
										lowercase_					:			str										=       False
										if self.is_zeroa() or self.is_zeroa():
																	lowercase_					:			Dict										=       set(["""cpu""", """nvme"""]    )
																	lowercase_					:			List[Any]										=       set(
																	    [
																	        self.get_value("""zero_optimization.offload_optimizer.device"""    ),
																	        self.get_value("""zero_optimization.offload_param.device"""    ),
																	    ]    )
																	if len(offload_devices & offload_devices_valid    ) > 0:
																								lowercase_					:			Tuple										=       True







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[Any]				,			lowercase_				:  Any    ):
										lowercase_					:			Optional[Any]										=       self.config

										# find the config node of interest if it exists
										lowercase_					:			Tuple										=       ds_key_long.split("""."""    )
										lowercase_					:			Union[str, Any]										=       nodes.pop()
										for node in nodes:
																	lowercase_					:			List[str]										=       config.get(lowercase_    )
																	if config is None:
																								return None, ds_key

										return config, ds_key







			def 	SCREAMING_SNAKE_CASE_     (	self				:  str				,			lowercase_				:  List[str]				,			lowercase_				:  List[str]=None    ):
										lowercase_						,						lowercase_					:			List[Any]										=       self.find_config_node(lowercase_    )
										if config is None:
																	return default
										return config.get(lowercase_				,			lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[str]				,			lowercase_				:  Optional[int]				,			lowercase_				:  int=False    ):
										lowercase_					:			int										=       self.config

										# find the config node of interest if it exists
										lowercase_					:			Dict										=       ds_key_long.split("""."""    )
										for node in nodes:
																	lowercase_					:			List[Any]										=       config
																	lowercase_					:			Dict										=       config.get(lowercase_    )
																	if config is None:
																								if must_exist:
																															raise ValueError(f'''Can\'t find {ds_key_long} entry in the config: {self.config}'''    )
																								else:
																															return

        # if found remove it
										if parent_config is not None:
																	parent_config.pop(lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[int]				,			lowercase_				:  Tuple    ):
										lowercase_					:			str										=       self.get_value(lowercase_    )
										return False if value is None else bool(lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[str]				,			lowercase_				:  Union[str, Any]    ):
										lowercase_					:			Union[str, Any]										=       self.get_value(lowercase_    )
										return False if value is None else not bool(lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Dict    ):
										return self._stage == 2







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Any    ):
										return self._stage == 3







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]    ):
										return self._offload





class     __magic_name__						:







			def __init__(	self				:  Any				,			lowercase_				:  Union[str, Any]    ):
										lowercase_					:			Any										=       engine







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Tuple				,			lowercase_				:  int				,			**lowercase_				:  str    ):
										# runs backpropagation and handles mixed precision
										self.engine.backward(lowercase_				,			**lowercase_    )

										# Deepspeed's `engine.step` performs the following operations:
										# - gradient accumulation check
										# - gradient clipping
										# - optimizer step
										# - zero grad
										# - checking overflow
										# - lr_scheduler step (only if engine.lr_scheduler is not None)
										self.engine.step()
										# and this plugin overrides the above calls with no-ops when Accelerate runs under
										# Deepspeed, but allows normal functionality for non-Deepspeed cases thus enabling a simple
										# training loop that works transparently under many training regimes.





class     __magic_name__						(    _UpperCAmelCase):







			def __init__(	self				:  Optional[Any]				,			lowercase_				:  Tuple    ):
										super().__init__(lowercase_				,			device_placement=lowercase_				,			scaler=lowercase_    )
										lowercase_					:			Any										=       hasattr(self.optimizer				,			"""overflow"""    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  int				,			lowercase_				:  Tuple=None    ):
										pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Tuple    ):
										pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed







			@property
			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[Any]    ):
										if self.__has_overflow__:
																	return self.optimizer.overflow
										return False





class     __magic_name__						(    _UpperCAmelCase):







			def __init__(	self				:  Dict				,			lowercase_				:  Optional[Any]				,			lowercase_				:  Tuple    ):
										super().__init__(lowercase_				,			lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]    ):
										pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed





class     __magic_name__						:







			def __init__(	self				:  Any				,			lowercase_				:  Union[str, Any]				,			lowercase_				:  List[str]=0.0_01				,			lowercase_				:  List[str]=0				,			**lowercase_				:  List[Any]    ):
										lowercase_					:			str										=       params
										lowercase_					:			List[Any]										=       lr
										lowercase_					:			int										=       weight_decay
										lowercase_					:			Union[str, Any]										=       kwargs





class     __magic_name__						:







			def __init__(	self				:  Tuple				,			lowercase_				:  Optional[Any]				,			lowercase_				:  List[str]=None				,			lowercase_				:  int=0				,			**lowercase_				:  int    ):
										lowercase_					:			Union[str, Any]										=       optimizer
										lowercase_					:			List[str]										=       total_num_steps
										lowercase_					:			Dict										=       warmup_num_steps
										lowercase_					:			Dict										=       kwargs





