



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

import requests






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

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

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

								for i in range(__UpperCamelCase ):
												a__	:							Optional[int]      						= 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     SCREAMING_SNAKE_CASE(      __UpperCamelCase	,				__UpperCamelCase=None )	->						Optional[Any]:
				a__	:							List[str]      						= None
				if token is not None:
								a__	:							Optional[int]      						= {"Accept": "application/vnd.github+json", "Authorization": F'Bearer {token}'}

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

				try:
								artifacts.update({artifact["name"]: artifact["archive_download_url"] for artifact in result["artifacts"]} )
								a__	:							List[Any]      						= math.ceil((result["total_count"] - 1_00) / 1_00 )

								for i in range(__UpperCamelCase ):
												a__	:							Optional[int]      						= 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     SCREAMING_SNAKE_CASE(      __UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase )	->						str:
				a__	:							Dict      						= None
				if token is not None:
								a__	:							Optional[int]      						= {"Accept": "application/vnd.github+json", "Authorization": F'Bearer {token}'}

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






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase	,				__UpperCamelCase=None )	->						Optional[int]:
				a__	:							List[str]      						= []
				a__	:							str      						= []
				a__	:							Union[str, Any]      						= 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:
																												a__	:							List[str]      						= line.decode("UTF-8" ).strip()
																												if filename == "failures_line.txt":
																																try:
																																				# `error_line` is the place where `error` occurs
																																				a__	:							Any      						= line[: line.index(": " )]
																																				a__	:							Union[str, 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
																																a__	:							List[str]      						= line[len("FAILED " ) :]
																																failed_tests.append(__UpperCamelCase )
																												elif filename == "job_name.txt":
																																a__	:							int      						= 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." )

				a__	:							List[str]      						= None
				if job_name and job_links:
								a__	:							Dict      						= job_links.get(__UpperCamelCase	,				__UpperCamelCase )

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

				return result






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase	,				__UpperCamelCase=None )	->						Dict:
				a__	:							Dict      						= []

				a__	:							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     SCREAMING_SNAKE_CASE(      __UpperCamelCase	,				__UpperCamelCase=None )	->						List[str]:
				a__	:							Dict      						= Counter()
				counter.update([x[1] for x in logs] )
				a__	:							Dict      						= counter.most_common()
				a__	:							List[Any]      						= {}
				for error, count in counts:
								if error_filter is None or error not in error_filter:
												a__	:							Dict      						= {"count": count, "failed_tests": [(x[2], x[0]) for x in logs if x[1] == error]}

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






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase )	->						Optional[int]:
				a__	:							Tuple      						= test.split("::" )[0]
				if test.startswith("tests/models/" ):
								a__	:							Dict      						= test.split("/" )[2]
				else:
								a__	:							Tuple      						= None

				return test






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase	,				__UpperCamelCase=None )	->						Any:
				a__	:							List[Any]      						= [(x[0], x[1], get_model(x[2] )) for x in logs]
				a__	:							Dict      						= [x for x in logs if x[2] is not None]
				a__	:							int      						= {x[2] for x in logs}

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

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






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase )	->						Union[str, Any]:
				a__	:							Dict      						= "| no. | error | status |"
				a__	:							str      						= "|-:|:-|:-|"
				a__	:							Optional[Any]      						= [header, sep]
				for error in reduced_by_error:
								a__	:							Tuple      						= reduced_by_error[error]["count"]
								a__	:							Any      						= F'| {count} | {error[:1_00]} |  |'
								lines.append(__UpperCamelCase )

				return "\n".join(__UpperCamelCase )






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

				return "\n".join(__UpperCamelCase )


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(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)

						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)







import operator as op


lowerCamelCase		       =      """scaler.pt"""
lowerCamelCase		       =      """pytorch_model"""
lowerCamelCase		       =      """random_states"""
lowerCamelCase		       =      """optimizer"""
lowerCamelCase		       =      """scheduler"""
lowerCamelCase		       =      """pytorch_model.bin"""
lowerCamelCase		       =      """pytorch_model.bin.index.json"""
lowerCamelCase		       =      """model.safetensors"""
lowerCamelCase		       =      """model.safetensors.index.json"""
lowerCamelCase		       =      """1.10.2"""
lowerCamelCase		       =      """py38"""
lowerCamelCase		       =      """4.17.0"""
lowerCamelCase		       =      ["""ml.p3.16xlarge""", """ml.p3dn.24xlarge""", """ml.p4dn.24xlarge"""]
lowerCamelCase		       =      ["""FULL_SHARD""", """SHARD_GRAD_OP""", """NO_SHARD""", """HYBRID_SHARD""", """HYBRID_SHARD_ZERO2"""]
lowerCamelCase		       =      ["""TRANSFORMER_BASED_WRAP""", """SIZE_BASED_WRAP""", """NO_WRAP"""]
lowerCamelCase		       =      ["""BACKWARD_PRE""", """BACKWARD_POST""", """NO_PREFETCH"""]
lowerCamelCase		       =      ["""FULL_STATE_DICT""", """LOCAL_STATE_DICT""", """SHARDED_STATE_DICT"""]
lowerCamelCase		       =      """2.0.1"""
lowerCamelCase		       =      ["""pdsh""", """standard""", """openmpi""", """mvapich"""]
lowerCamelCase		       =      ["""default""", """reduce-overhead""", """max-autotune"""]

lowerCamelCase		       =      {""">""": op.gt, """>=""": op.ge, """==""": op.eq, """!=""": op.ne, """<=""": op.le, """<""": op.lt}

# These are the args for `torch.distributed.launch` for pytorch < 1.9
lowerCamelCase		       =      [
    """nnodes""",
    """nproc_per_node""",
    """rdzv_backend""",
    """rdzv_endpoint""",
    """rdzv_id""",
    """rdzv_conf""",
    """standalone""",
    """max_restarts""",
    """monitor_interval""",
    """start_method""",
    """role""",
    """module""",
    """m""",
    """no_python""",
    """run_path""",
    """log_dir""",
    """r""",
    """redirects""",
    """t""",
    """tee""",
    """node_rank""",
    """master_addr""",
    """master_port""",
]

lowerCamelCase		       =      ["""DEEPSPEED""", """MULTI_GPU""", """FSDP""", """MEGATRON_LM"""]
lowerCamelCase		       =      ["""DEEPSPEED""", """MULTI_XPU""", """FSDP"""]


