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

import requests



def 						lowercase_      (       A__			,		A__=None		)							->							Union[str, Any]:
				"""simple docstring"""

				snake_case								= None
				if token is not None:
								snake_case								= {"Accept": "application/vnd.github+json", "Authorization": F'Bearer {token}'}

				snake_case								= F'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
				snake_case								= requests.get(A__			,		headers=A__		).json()
				snake_case								= {}

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

								for i in range(A__		):
												snake_case								= 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 						lowercase_      (       A__			,		A__=None		)							->							int:
				"""simple docstring"""

				snake_case								= None
				if token is not None:
								snake_case								= {"Accept": "application/vnd.github+json", "Authorization": F'Bearer {token}'}

				snake_case								= F'https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'
				snake_case								= requests.get(A__			,		headers=A__		).json()
				snake_case								= {}

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

								for i in range(A__		):
												snake_case								= 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 						lowercase_      (       A__			,		A__			,		A__			,		A__		)							->							str:
				"""simple docstring"""

				snake_case								= None
				if token is not None:
								snake_case								= {"Accept": "application/vnd.github+json", "Authorization": F'Bearer {token}'}

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



def 						lowercase_      (       A__			,		A__=None		)							->							str:
				"""simple docstring"""

				snake_case								= []
				snake_case								= []
				snake_case								= 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:
																												snake_case								= line.decode("UTF-8"		).strip()
																												if filename == "failures_line.txt":
																																try:
																																				# `error_line` is the place where `error` occurs
																																				snake_case								= line[: line.index(": "		)]
																																				snake_case								= 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
																																snake_case								= line[len("FAILED "		) :]
																																failed_tests.append(A__		)
																												elif filename == "job_name.txt":
																																snake_case								= 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."		)

				snake_case								= None
				if job_name and job_links:
								snake_case								= job_links.get(A__			,		A__		)

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

				return result



def 						lowercase_      (       A__			,		A__=None		)							->							Union[str, Any]:
				"""simple docstring"""

				snake_case								= []

				snake_case								= [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 						lowercase_      (       A__			,		A__=None		)							->							Optional[int]:
				"""simple docstring"""

				snake_case								= Counter()
				counter.update([x[1] for x in logs]		)
				snake_case								= counter.most_common()
				snake_case								= {}
				for error, count in counts:
								if error_filter is None or error not in error_filter:
												snake_case								= {"count": count, "failed_tests": [(x[2], x[0]) for x in logs if x[1] == error]}

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



def 						lowercase_      (       A__		)							->							str:
				"""simple docstring"""

				snake_case								= test.split("::"		)[0]
				if test.startswith("tests/models/"		):
								snake_case								= test.split("/"		)[2]
				else:
								snake_case								= None

				return test



def 						lowercase_      (       A__			,		A__=None		)							->							List[str]:
				"""simple docstring"""

				snake_case								= [(x[0], x[1], get_model(x[2]		)) for x in logs]
				snake_case								= [x for x in logs if x[2] is not None]
				snake_case								= {x[2] for x in logs}

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

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



def 						lowercase_      (       A__		)							->							List[str]:
				"""simple docstring"""

				snake_case								= "| no. | error | status |"
				snake_case								= "|-:|:-|:-|"
				snake_case								= [header, sep]
				for error in reduced_by_error:
								snake_case								= reduced_by_error[error]["count"]
								snake_case								= F'| {count} | {error[:100]} |  |'
								lines.append(A__		)

				return "\n".join(A__		)



def 						lowercase_      (       A__		)							->							Dict:
				"""simple docstring"""

				snake_case								= "| model | no. of errors | major error | count |"
				snake_case								= "|-:|-:|-:|-:|"
				snake_case								= [header, sep]
				for model in reduced_by_model:
								snake_case								= reduced_by_model[model]["count"]
								snake_case					,							snake_case								= list(reduced_by_model[model]["errors"].items()		)[0]
								snake_case								= F'| {model} | {count} | {error[:60]} | {_count} |'
								lines.append(A__		)

				return "\n".join(A__		)


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

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

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

			_A   =			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)

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

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

			# print the top 30 most common test errors
			_A   =			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)

			_A   =			reduce_by_error(errors)
			_A   =			reduce_by_model(errors)

			_A   =			make_github_table(reduced_by_error)
			_A   =			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)



def 						lowercase_      (       A__ = 1000		)							->							int:
    """simple docstring"""

    return sum(2 * a * ((a - 1) // 2) for a in range(3			,		n + 1		)		)


if __name__ == "__main__":
   print(solution())

