





"""simple docstring"""
import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests



def 					__lowerCamelCase       (							a_					:		Union[str, Any]			,       a_					:		Tuple=None							)      ->				Any:
						__SCREAMING_SNAKE_CASE       :int		    =  None
						if token is not None:
												__SCREAMING_SNAKE_CASE       :Any		    =  {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f'''Bearer {token}'''}

						__SCREAMING_SNAKE_CASE       :Any		    =  f'''https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'''
						__SCREAMING_SNAKE_CASE       :Any		    =  requests.get(a_			,       headers=a_							).json()
						__SCREAMING_SNAKE_CASE       :Optional[Any]		    =  {}

						try:
												job_links.update({job['''name''']: job['''html_url'''] for job in result['''jobs''']}							)
												__SCREAMING_SNAKE_CASE       :Any		    =  math.ceil((result['''total_count'''] - 1_00) / 1_00							)

												for i in range(a_							):
																		__SCREAMING_SNAKE_CASE       :Tuple		    =  requests.get(url + f'''&page={i + 2}'''			,       headers=a_							).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       (							a_					:		Dict			,       a_					:		Optional[Any]=None							)      ->				Optional[int]:
						__SCREAMING_SNAKE_CASE       :Optional[int]		    =  None
						if token is not None:
												__SCREAMING_SNAKE_CASE       :Optional[int]		    =  {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f'''Bearer {token}'''}

						__SCREAMING_SNAKE_CASE       :int		    =  f'''https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'''
						__SCREAMING_SNAKE_CASE       :List[str]		    =  requests.get(a_			,       headers=a_							).json()
						__SCREAMING_SNAKE_CASE       :Optional[int]		    =  {}

						try:
												artifacts.update({artifact['''name''']: artifact['''archive_download_url'''] for artifact in result['''artifacts''']}							)
												__SCREAMING_SNAKE_CASE       :Optional[int]		    =  math.ceil((result['''total_count'''] - 1_00) / 1_00							)

												for i in range(a_							):
																		__SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  requests.get(url + f'''&page={i + 2}'''			,       headers=a_							).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       (							a_					:		int			,       a_					:		Dict			,       a_					:		str			,       a_					:		str							)      ->				str:
						__SCREAMING_SNAKE_CASE       :str		    =  None
						if token is not None:
												__SCREAMING_SNAKE_CASE       :Any		    =  {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f'''Bearer {token}'''}

						__SCREAMING_SNAKE_CASE       :List[Any]		    =  requests.get(a_			,       headers=a_			,       allow_redirects=a_							)
						__SCREAMING_SNAKE_CASE       :int		    =  result.headers['''Location''']
						__SCREAMING_SNAKE_CASE       :str		    =  requests.get(a_			,       allow_redirects=a_							)
						__SCREAMING_SNAKE_CASE       :Optional[int]		    =  os.path.join(a_			,       f'''{artifact_name}.zip'''							)
						with open(a_			,       '''wb'''							) as fp:
												fp.write(response.content							)



def 					__lowerCamelCase       (							a_					:		Optional[int]			,       a_					:		Optional[Any]=None							)      ->				int:
						__SCREAMING_SNAKE_CASE       :List[Any]		    =  []
						__SCREAMING_SNAKE_CASE       :Optional[Any]		    =  []
						__SCREAMING_SNAKE_CASE       :str		    =  None

						with zipfile.ZipFile(a_							) as z:
												for filename in z.namelist():
																		if not os.path.isdir(a_							):
																								# read the file
																								if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
																														with z.open(a_							) as f:
																																				for line in f:
																																										__SCREAMING_SNAKE_CASE       :Any		    =  line.decode('''UTF-8'''							).strip()
																																										if filename == "failures_line.txt":
																																																try:
																																																						# `error_line` is the place where `error` occurs
																																																						__SCREAMING_SNAKE_CASE       :Tuple		    =  line[: line.index(''': '''							)]
																																																						__SCREAMING_SNAKE_CASE       :List[Any]		    =  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
																																																__SCREAMING_SNAKE_CASE       :int		    =  line[len('''FAILED '''							) :]
																																																failed_tests.append(a_							)
																																										elif filename == "job_name.txt":
																																																__SCREAMING_SNAKE_CASE       :int		    =  line

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

						__SCREAMING_SNAKE_CASE       :int		    =  None
						if job_name and job_links:
												__SCREAMING_SNAKE_CASE       :Optional[int]		    =  job_links.get(a_			,       a_							)

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

						return result



def 					__lowerCamelCase       (							a_					:		Tuple			,       a_					:		Any=None							)      ->				List[str]:
						__SCREAMING_SNAKE_CASE       :List[Any]		    =  []

						__SCREAMING_SNAKE_CASE       :Dict		    =  [os.path.join(a_			,       a_							) for p in os.listdir(a_							) if p.endswith('''.zip'''							)]
						for p in paths:
												errors.extend(get_errors_from_single_artifact(a_			,       job_links=a_							)							)

						return errors



def 					__lowerCamelCase       (							a_					:		Optional[Any]			,       a_					:		List[Any]=None							)      ->				Tuple:
						__SCREAMING_SNAKE_CASE       :Tuple		    =  Counter()
						counter.update([x[1] for x in logs]							)
						__SCREAMING_SNAKE_CASE       :int		    =  counter.most_common()
						__SCREAMING_SNAKE_CASE       :List[Any]		    =  {}
						for error, count in counts:
												if error_filter is None or error not in error_filter:
																		__SCREAMING_SNAKE_CASE       :Optional[int]		    =  {'''count''': count, '''failed_tests''': [(x[2], x[0]) for x in logs if x[1] == error]}

						__SCREAMING_SNAKE_CASE       :Optional[Any]		    =  dict(sorted(r.items()			,       key=lambda a_							: item[1]["count"]			,       reverse=a_							)							)
						return r



def 					__lowerCamelCase       (							a_					:		Optional[Any]							)      ->				Tuple:
						__SCREAMING_SNAKE_CASE       :Dict		    =  test.split('''::'''							)[0]
						if test.startswith('''tests/models/'''							):
												__SCREAMING_SNAKE_CASE       :Optional[int]		    =  test.split('''/'''							)[2]
						else:
												__SCREAMING_SNAKE_CASE       :Tuple		    =  None

						return test



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

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

						__SCREAMING_SNAKE_CASE       :List[str]		    =  dict(sorted(r.items()			,       key=lambda a_							: item[1]["count"]			,       reverse=a_							)							)
						return r



def 					__lowerCamelCase       (							a_					:		Any							)      ->				Optional[int]:
						__SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  '''| no. | error | status |'''
						__SCREAMING_SNAKE_CASE       :Tuple		    =  '''|-:|:-|:-|'''
						__SCREAMING_SNAKE_CASE       :List[str]		    =  [header, sep]
						for error in reduced_by_error:
												__SCREAMING_SNAKE_CASE       :Optional[Any]		    =  reduced_by_error[error]['''count''']
												__SCREAMING_SNAKE_CASE       :Dict		    =  f'''| {count} | {error[:1_00]} |  |'''
												lines.append(a_							)

						return "\n".join(a_							)



def 					__lowerCamelCase       (							a_					:		Tuple							)      ->				Tuple:
						__SCREAMING_SNAKE_CASE       :List[str]		    =  '''| model | no. of errors | major error | count |'''
						__SCREAMING_SNAKE_CASE       :str		    =  '''|-:|-:|-:|-:|'''
						__SCREAMING_SNAKE_CASE       :List[str]		    =  [header, sep]
						for model in reduced_by_model:
												__SCREAMING_SNAKE_CASE       :Optional[Any]		    =  reduced_by_model[model]['''count''']
												__SCREAMING_SNAKE_CASE       :List[Any]		    =  list(reduced_by_model[model]['''errors'''].items()							)[0]
												__SCREAMING_SNAKE_CASE       :List[str]		    =  f'''| {model} | {count} | {error[:60]} | {_count} |'''
												lines.append(a_							)

						return "\n".join(a_							)


if __name__ == "__main__":
		lowerCamelCase_       =		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.")
		lowerCamelCase_       =		parser.parse_args()

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

		lowerCamelCase_       =		get_job_links(args.workflow_run_id, token=args.token)
		lowerCamelCase_       =		{}
		# 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:
								lowerCamelCase_       =		k.find(" / ")
								lowerCamelCase_       =		k[index + len(" / ") :]
						lowerCamelCase_       =		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)

		lowerCamelCase_       =		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)

		lowerCamelCase_       =		get_all_errors(args.output_dir, job_links=job_links)

		# `e[1]` is the error
		lowerCamelCase_       =		Counter()
		counter.update([e[1] for e in errors])

		# print the top 30 most common test errors
		lowerCamelCase_       =		counter.most_common(3_0)
		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)

		lowerCamelCase_       =		reduce_by_error(errors)
		lowerCamelCase_       =		reduce_by_model(errors)

		lowerCamelCase_       =		make_github_table(reduced_by_error)
		lowerCamelCase_       =		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  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__							)      ->				int:





             """simple docstring"""






             if isinstance(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							):
                   # 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
                   __SCREAMING_SNAKE_CASE       :Optional[int]		    =  deepcopy(SCREAMING_SNAKE_CASE__							)
             elif os.path.exists(SCREAMING_SNAKE_CASE__							):
                   with io.open(SCREAMING_SNAKE_CASE__		,'''r'''		,encoding='''utf-8'''							) as f:
                         __SCREAMING_SNAKE_CASE       :Dict		    =  json.load(SCREAMING_SNAKE_CASE__							)
             else:
                   try:
                         __SCREAMING_SNAKE_CASE       :str		    =  baseaa.urlsafe_baadecode(SCREAMING_SNAKE_CASE__							).decode('''utf-8'''							)
                         __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  json.loads(SCREAMING_SNAKE_CASE__							)
                   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}'''							)

             __SCREAMING_SNAKE_CASE       :Optional[int]		    =  config

             self.set_stage_and_offload()




       def    _UpperCamelCase					(						self							)      ->				Any:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  self.get_value('''zero_optimization.stage'''		,-1							)

             # offload
             __SCREAMING_SNAKE_CASE       :Any		    =  False
             if self.is_zeroa() or self.is_zeroa():
                   __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  set(['''cpu''', '''nvme''']							)
                   __SCREAMING_SNAKE_CASE       :Optional[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:
                         __SCREAMING_SNAKE_CASE       :int		    =  True




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Tuple:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Any		    =  self.config

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

             return config, ds_key




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=None							)      ->				Tuple:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE       :Optional[Any]		    =  self.find_config_node(SCREAMING_SNAKE_CASE__							)
             if config is None:
                   return default
             return config.get(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=False							)      ->				int:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Dict		    =  self.config

             # find the config node of interest if it exists
             __SCREAMING_SNAKE_CASE       :str		    =  ds_key_long.split('''.'''							)
             for node in nodes:
                   __SCREAMING_SNAKE_CASE       :Any		    =  config
                   __SCREAMING_SNAKE_CASE       :int		    =  config.get(SCREAMING_SNAKE_CASE__							)
                   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(SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Optional[int]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :int		    =  self.get_value(SCREAMING_SNAKE_CASE__							)
             return False if value is None else bool(SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :str		    =  self.get_value(SCREAMING_SNAKE_CASE__							)
             return False if value is None else not bool(SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self							)      ->				List[str]:





             """simple docstring"""






             return self._stage == 2




       def    _UpperCamelCase					(						self							)      ->				List[Any]:





             """simple docstring"""






             return self._stage == 3




       def    _UpperCamelCase					(						self							)      ->				Union[str, Any]:





             """simple docstring"""






             return self._offload






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__							)      ->				Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Optional[int]		    =  engine




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__		,**SCREAMING_SNAKE_CASE__							)      ->				List[Any]:





             """simple docstring"""






             self.engine.backward(SCREAMING_SNAKE_CASE__		,**SCREAMING_SNAKE_CASE__							)

             # 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  _SCREAMING_SNAKE_CASE(       A  ):




       def __init__(						self		,SCREAMING_SNAKE_CASE__							)      ->				str:





             """simple docstring"""






             super().__init__(SCREAMING_SNAKE_CASE__		,device_placement=SCREAMING_SNAKE_CASE__		,scaler=SCREAMING_SNAKE_CASE__							)
             __SCREAMING_SNAKE_CASE       :int		    =  hasattr(self.optimizer		,'''overflow'''							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__=None							)      ->				Union[str, Any]:





             """simple docstring"""






             pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed




       def    _UpperCamelCase					(						self							)      ->				Union[str, Any]:





             """simple docstring"""






             pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed




       @property
       def    _UpperCamelCase					(						self							)      ->				Dict:





             """simple docstring"""






             if self.__has_overflow__:
                   return self.optimizer.overflow
             return False






class  _SCREAMING_SNAKE_CASE(       A  ):




       def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)      ->				Optional[int]:





             """simple docstring"""






             super().__init__(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self							)      ->				Optional[int]:





             """simple docstring"""






             pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=0.0_0_1		,SCREAMING_SNAKE_CASE__=0		,**SCREAMING_SNAKE_CASE__							)      ->				List[str]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  params
             __SCREAMING_SNAKE_CASE       :str		    =  lr
             __SCREAMING_SNAKE_CASE       :str		    =  weight_decay
             __SCREAMING_SNAKE_CASE       :int		    =  kwargs






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=None		,SCREAMING_SNAKE_CASE__=0		,**SCREAMING_SNAKE_CASE__							)      ->				str:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Dict		    =  optimizer
             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  total_num_steps
             __SCREAMING_SNAKE_CASE       :Any		    =  warmup_num_steps
             __SCREAMING_SNAKE_CASE       :int		    =  kwargs