





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

import requests





def    __UpperCamelCase      (    a,     a=None) ->Tuple:
					lowerCamelCase__       =       None
					if token is not None:
										lowerCamelCase__       =       {"Accept": "application/vnd.github+json", "Authorization": f"Bearer {token}"}

					lowerCamelCase__       =       f"https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"
					lowerCamelCase__       =       requests.get(a,     headers=a).json()
					lowerCamelCase__       =       {}

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

										for i in range(a):
															lowerCamelCase__       =       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    __UpperCamelCase      (    a,     a=None) ->str:
					lowerCamelCase__       =       None
					if token is not None:
										lowerCamelCase__       =       {"Accept": "application/vnd.github+json", "Authorization": f"Bearer {token}"}

					lowerCamelCase__       =       f"https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"
					lowerCamelCase__       =       requests.get(a,     headers=a).json()
					lowerCamelCase__       =       {}

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

										for i in range(a):
															lowerCamelCase__       =       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    __UpperCamelCase      (    a,     a,     a,     a) ->Tuple:
					lowerCamelCase__       =       None
					if token is not None:
										lowerCamelCase__       =       {"Accept": "application/vnd.github+json", "Authorization": f"Bearer {token}"}

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





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

					lowerCamelCase__       =       None
					if job_name and job_links:
										lowerCamelCase__       =       job_links.get(a,     a)

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

					return result





def    __UpperCamelCase      (    a,     a=None) ->Any:
					lowerCamelCase__       =       []

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

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





def    __UpperCamelCase      (    a) ->int:
					lowerCamelCase__       =       test.split("::")[0]
					if test.startswith("tests/models/"):
										lowerCamelCase__       =       test.split("/")[2]
					else:
										lowerCamelCase__       =       None

					return test





def    __UpperCamelCase      (    a,     a=None) ->List[str]:
					lowerCamelCase__       =       [(x[0], x[1], get_model(x[2])) for x in logs]
					lowerCamelCase__       =       [x for x in logs if x[2] is not None]
					lowerCamelCase__       =       {x[2] for x in logs}

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

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





def    __UpperCamelCase      (    a) ->List[str]:
					lowerCamelCase__       =       "| no. | error | status |"
					lowerCamelCase__       =       "|-:|:-|:-|"
					lowerCamelCase__       =       [header, sep]
					for error in reduced_by_error:
										lowerCamelCase__       =       reduced_by_error[error]["count"]
										lowerCamelCase__       =       f"| {count} | {error[:100]} |  |"
										lines.append(a)

					return "\n".join(a)





def    __UpperCamelCase      (    a) ->Dict:
					lowerCamelCase__       =       "| model | no. of errors | major error | count |"
					lowerCamelCase__       =       "|-:|-:|-:|-:|"
					lowerCamelCase__       =       [header, sep]
					for model in reduced_by_model:
										lowerCamelCase__       =       reduced_by_model[model]["count"]
										lowerCamelCase__    ,		lowerCamelCase__       =       list(reduced_by_model[model]["errors"].items())[0]
										lowerCamelCase__       =       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(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)

						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    __UpperCamelCase      (    a,     a) ->Dict:
					print("\nThe shortest path matrix using Floyd Warshall algorithm\n")
					for i in range(a):
										for j in range(a):
															if dist[i][j] != float("inf"):
																				print(int(dist[i][j]),     end="\t")
															else:
																				print("INF",     end="\t")
										print()





def    __UpperCamelCase      (    a,     a) ->Optional[int]:
					lowerCamelCase__       =       [[float("inf") for _ in range(a)] for _ in range(a)]

					for i in range(a):
										for j in range(a):
															lowerCamelCase__       =       graph[i][j]

															# check vertex k against all other vertices (i, j)
					for k in range(a):
										# looping through rows of graph array
										for i in range(a):
															# looping through columns of graph array
															for j in range(a):
																				if (
																				    dist[i][k] != float("inf")
																				    and dist[k][j] != float("inf")
																				    and dist[i][k] + dist[k][j] < dist[i][j]
																				):
																									lowerCamelCase__       =       dist[i][k] + dist[k][j]

					_print_dist(a,     a)
					return dist, v


if __name__ == "__main__":
						A_												=     int(input("Enter number of vertices: "))
						A_												=     int(input("Enter number of edges: "))

						A_												=     [[float("inf") for i in range(v)] for j in range(v)]

						for i in range(v):
												A_												=     0.0

												# src and dst are indices that must be within the array size graph[e][v]
												# failure to follow this will result in an error
						for i in range(e):
												print("\nEdge ", i + 1)
												A_												=     int(input("Enter source:"))
												A_												=     int(input("Enter destination:"))
												A_												=     float(input("Enter weight:"))
												A_												=     weight

						floyd_warshall(graph, v)

						# Example Input
						# Enter number of vertices: 3
						# Enter number of edges: 2

						# # generated graph from vertex and edge inputs
						# [[inf, inf, inf], [inf, inf, inf], [inf, inf, inf]]
						# [[0.0, inf, inf], [inf, 0.0, inf], [inf, inf, 0.0]]

						# specify source, destination and weight for edge #1
						# Edge  1
						# Enter source:1
						# Enter destination:2
						# Enter weight:2

						# specify source, destination and weight for edge #2
						# Edge  2
						# Enter source:2
						# Enter destination:1
						# Enter weight:1

						# # Expected Output from the vertice, edge and src, dst, weight inputs!!
						# 0		INF	INF
						# INF	0	2
						# INF	1	0

