






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

import requests







def      snake_case		(							UpperCAmelCase	:       Union[str, Any],						UpperCAmelCase	:       Any=None   ):
				A	 =      None
				if token is not None:
								A	 =      {'Accept': 'application/vnd.github+json', 'Authorization': f'Bearer {token}'}

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

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

								for i in range(UpperCAmelCase   ):
												A	 =      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      snake_case		(							UpperCAmelCase	:       int,						UpperCAmelCase	:       int=None   ):
				A	 =      None
				if token is not None:
								A	 =      {'Accept': 'application/vnd.github+json', 'Authorization': f'Bearer {token}'}

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

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

								for i in range(UpperCAmelCase   ):
												A	 =      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      snake_case		(							UpperCAmelCase	:       Any,						UpperCAmelCase	:       Union[str, Any],						UpperCAmelCase	:       int,						UpperCAmelCase	:       int   ):
				A	 =      None
				if token is not None:
								A	 =      {'Accept': 'application/vnd.github+json', 'Authorization': f'Bearer {token}'}

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







def      snake_case		(							UpperCAmelCase	:       str,						UpperCAmelCase	:       Union[str, Any]=None   ):
				A	 =      []
				A	 =      []
				A	 =      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	 =      line.decode('UTF-8'   ).strip()
																												if filename == "failures_line.txt":
																																try:
																																				# `error_line` is the place where `error` occurs
																																				A	 =      line[: line.index(': '   )]
																																				A	 =      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	 =      line[len('FAILED '   ) :]
																																failed_tests.append(UpperCAmelCase   )
																												elif filename == "job_name.txt":
																																A	 =      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	 =      None
				if job_name and job_links:
								A	 =      job_links.get(UpperCAmelCase,						UpperCAmelCase   )

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

				return result







def      snake_case		(							UpperCAmelCase	:       str,						UpperCAmelCase	:       str=None   ):
				A	 =      []

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

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







def      snake_case		(							UpperCAmelCase	:       List[str]   ):
				A	 =      test.split('::'   )[0]
				if test.startswith('tests/models/'   ):
								A	 =      test.split('/'   )[2]
				else:
								A	 =      None

				return test







def      snake_case		(							UpperCAmelCase	:       Optional[int],						UpperCAmelCase	:       Union[str, Any]=None   ):
				A	 =      [(x[0], x[1], get_model(x[2]   )) for x in logs]
				A	 =      [x for x in logs if x[2] is not None]
				A	 =      {x[2] for x in logs}

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

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







def      snake_case		(							UpperCAmelCase	:       List[str]   ):
				A	 =      '| no. | error | status |'
				A	 =      '|-:|:-|:-|'
				A	 =      [header, sep]
				for error in reduced_by_error:
								A	 =      reduced_by_error[error]['count']
								A	 =      f'| {count} | {error[:1_00]} |  |'
								lines.append(UpperCAmelCase   )

				return "\n".join(UpperCAmelCase   )







def      snake_case		(							UpperCAmelCase	:       Any   ):
				A	 =      '| model | no. of errors | major error | count |'
				A	 =      '|-:|-:|-:|-:|'
				A	 =      [header, sep]
				for model in reduced_by_model:
								A	 =      reduced_by_model[model]['count']
								A ,		A	 =      list(reduced_by_model[model]['errors'].items()   )[0]
								A	 =      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)













from manim import *
class      UpperCamelCase (				snake_case__ ):







		"""simple docstring"""



		def       A(  self		:       Dict		)    ->   Tuple:


						'''simple docstring'''
						A	 =      Rectangle(height=0.5						,width=0.5		)
						A	 =      Rectangle(height=0.46						,width=0.46		).set_stroke(width=0		)

						A	 =      [mem.copy() for i in range(6		)]
						A	 =      [mem.copy() for i in range(6		)]
						A	 =      VGroup(*_SCREAMING_SNAKE_CASE		).arrange(_SCREAMING_SNAKE_CASE						,buff=0		)
						A	 =      VGroup(*_SCREAMING_SNAKE_CASE		).arrange(_SCREAMING_SNAKE_CASE						,buff=0		)
						A	 =      VGroup(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		).arrange(_SCREAMING_SNAKE_CASE						,buff=0		)
						A	 =      Text('CPU'						,font_size=2_4		)
						A	 =      Group(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		).arrange(_SCREAMING_SNAKE_CASE						,buff=0.5						,aligned_edge=_SCREAMING_SNAKE_CASE		)
						cpu.move_to([-2.5, -0.5, 0]		)
						self.add(_SCREAMING_SNAKE_CASE		)

						A	 =      [mem.copy() for i in range(1		)]
						A	 =      VGroup(*_SCREAMING_SNAKE_CASE		).arrange(_SCREAMING_SNAKE_CASE						,buff=0		)
						A	 =      Text('GPU'						,font_size=2_4		)
						A	 =      Group(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		).arrange(_SCREAMING_SNAKE_CASE						,buff=0.5						,aligned_edge=_SCREAMING_SNAKE_CASE		)
						gpu.align_to(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
						gpu.set_x(gpu.get_x() - 1		)

						self.add(_SCREAMING_SNAKE_CASE		)

						A	 =      [mem.copy() for i in range(6		)]
						A	 =      VGroup(*_SCREAMING_SNAKE_CASE		).arrange(_SCREAMING_SNAKE_CASE						,buff=0		)

						A	 =      Text('Model'						,font_size=2_4		)
						A	 =      Group(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		).arrange(_SCREAMING_SNAKE_CASE						,buff=0.5						,aligned_edge=_SCREAMING_SNAKE_CASE		)
						model.move_to([3, -1.0, 0]		)

						self.play(
						    Create(_SCREAMING_SNAKE_CASE						,run_time=1		)						,Create(_SCREAMING_SNAKE_CASE						,run_time=1		)						,Create(_SCREAMING_SNAKE_CASE						,run_time=1		)						,)

						A	 =      MarkupText(
						    f'First, an empty model skeleton is loaded\ninto <span fgcolor=\'{YELLOW}\'>memory</span> without using much RAM.'						,font_size=2_4						,)

						A	 =      Square(side_length=2.2		)
						key.move_to([-5, 2, 0]		)

						A	 =      MarkupText(
						    f'<b>Key:</b>\n\n<span fgcolor=\'{YELLOW}\'>●</span> Empty Model'						,font_size=1_8						,)

						key_text.move_to([-5, 2.4, 0]		)

						step_a.move_to([2, 2, 0]		)
						self.play(Write(_SCREAMING_SNAKE_CASE						,run_time=2.5		)						,Write(_SCREAMING_SNAKE_CASE		)						,Write(_SCREAMING_SNAKE_CASE		)		)

						self.add(_SCREAMING_SNAKE_CASE		)

						A	 =      []
						A	 =      []
						A	 =      []
						for i, rect in enumerate(_SCREAMING_SNAKE_CASE		):
										A	 =      Rectangle(height=0.46						,width=0.46		).set_stroke(width=0.0		).set_fill(_SCREAMING_SNAKE_CASE						,opacity=0.7		)
										cpu_target.move_to(_SCREAMING_SNAKE_CASE		)
										cpu_target.generate_target()
										A	 =      0.46 / 4
										A	 =      0.46 / 3

										if i == 0:
														cpu_target.target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT		)						,buff=0.02						,direction=_SCREAMING_SNAKE_CASE		)
														cpu_target.target.set_x(cpu_target.target.get_x() + 0.1		)
										elif i == 3:
														cpu_target.target.next_to(cpu_targs[0].target						,direction=_SCREAMING_SNAKE_CASE						,buff=0.0		)
										else:
														cpu_target.target.next_to(cpu_targs[i - 1].target						,direction=_SCREAMING_SNAKE_CASE						,buff=0.0		)
										cpu_targs.append(_SCREAMING_SNAKE_CASE		)

										first_animations.append(rect.animate(run_time=0.5		).set_stroke(_SCREAMING_SNAKE_CASE		)		)
										second_animations.append(MoveToTarget(_SCREAMING_SNAKE_CASE						,run_time=1.5		)		)

						self.play(*_SCREAMING_SNAKE_CASE		)
						self.play(*_SCREAMING_SNAKE_CASE		)

						self.wait()





