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

import requests






def   lowerCamelCase__							(							__lowerCAmelCase    :    List[Any]       ,				__lowerCAmelCase    :    List[Any]=None							):




			"""simple docstring"""


			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(__lowerCAmelCase       ,				headers=__lowerCAmelCase							).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(__lowerCAmelCase							):
									lowerCAmelCase_         =      requests.get(url + F"""&page={i + 2}"""       ,				headers=__lowerCAmelCase							).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__							(							__lowerCAmelCase    :    Optional[int]       ,				__lowerCAmelCase    :    Any=None							):




			"""simple docstring"""


			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(__lowerCAmelCase       ,				headers=__lowerCAmelCase							).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(__lowerCAmelCase							):
									lowerCAmelCase_         =      requests.get(url + F"""&page={i + 2}"""       ,				headers=__lowerCAmelCase							).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__							(							__lowerCAmelCase    :    Dict       ,				__lowerCAmelCase    :    List[str]       ,				__lowerCAmelCase    :    Tuple       ,				__lowerCAmelCase    :    List[str]							):




			"""simple docstring"""


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

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






def   lowerCamelCase__							(							__lowerCAmelCase    :    List[str]       ,				__lowerCAmelCase    :    List[str]=None							):




			"""simple docstring"""


			lowerCAmelCase_         =      []
			lowerCAmelCase_         =      []
			lowerCAmelCase_         =      None

			with zipfile.ZipFile(__lowerCAmelCase							) as z:
						for filename in z.namelist():
									if not os.path.isdir(__lowerCAmelCase							):
												# read the file
												if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
															with z.open(__lowerCAmelCase							) 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(__lowerCAmelCase							)
																					elif filename == "job_name.txt":
																								lowerCAmelCase_         =      line

			if len(__lowerCAmelCase							) != len(__lowerCAmelCase							):
						raise ValueError(
						    F"""`errors` and `failed_tests` should have the same number of elements. Got {len(__lowerCAmelCase							)} for `errors` """
						    F"""and {len(__lowerCAmelCase							)} 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(__lowerCAmelCase       ,				__lowerCAmelCase							)

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

			return result






def   lowerCamelCase__							(							__lowerCAmelCase    :    Optional[Any]       ,				__lowerCAmelCase    :    Optional[int]=None							):




			"""simple docstring"""


			lowerCAmelCase_         =      []

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

			return errors






def   lowerCamelCase__							(							__lowerCAmelCase    :    Dict       ,				__lowerCAmelCase    :    Tuple=None							):




			"""simple docstring"""


			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 __lowerCAmelCase							: item[1]["count"]       ,				reverse=__lowerCAmelCase							)							)
			return r






def   lowerCamelCase__							(							__lowerCAmelCase    :    int							):




			"""simple docstring"""


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

			return test






def   lowerCamelCase__							(							__lowerCAmelCase    :    str       ,				__lowerCAmelCase    :    Any=None							):




			"""simple docstring"""


			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 __lowerCAmelCase							: item[1]["count"]       ,				reverse=__lowerCAmelCase							)							)
			return r






def   lowerCamelCase__							(							__lowerCAmelCase    :    List[str]							):




			"""simple docstring"""


			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(__lowerCAmelCase							)

			return "\n".join(__lowerCAmelCase							)






def   lowerCamelCase__							(							__lowerCAmelCase    :    int							):




			"""simple docstring"""


			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(__lowerCAmelCase							)

			return "\n".join(__lowerCAmelCase							)


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)





from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available





@dataclass
class       _lowerCAmelCase   (      __a			):
				_lowercase     						=42
				_lowercase     						=42


if is_transformers_available() and is_torch_available():
			from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline



