


"""simple docstring"""






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

import requests





def 				A_       ( snake_case__       ,					snake_case__=None		)					->  Optional[int]:
			_UpperCamelCase					:Union[str, Any]					     =	None
			if token is not None:
						_UpperCamelCase					:List[str]					     =	{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"Bearer {token}"}

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

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

						for i in range(snake_case__		):
									_UpperCamelCase					:str					     =	requests.get(url + f"&page={i + 2}"       ,					headers=snake_case__		).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 				A_       ( snake_case__       ,					snake_case__=None		)					->  Union[str, Any]:
			_UpperCamelCase					:str					     =	None
			if token is not None:
						_UpperCamelCase					:Dict					     =	{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"Bearer {token}"}

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

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

						for i in range(snake_case__		):
									_UpperCamelCase					:Any					     =	requests.get(url + f"&page={i + 2}"       ,					headers=snake_case__		).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 				A_       ( snake_case__       ,					snake_case__       ,					snake_case__       ,					snake_case__		)					->  str:
			_UpperCamelCase					:List[str]					     =	None
			if token is not None:
						_UpperCamelCase					:Tuple					     =	{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"Bearer {token}"}

			_UpperCamelCase					:Optional[Any]					     =	requests.get(snake_case__       ,					headers=snake_case__       ,					allow_redirects=snake_case__		)
			_UpperCamelCase					:str					     =	result.headers['''Location''']
			_UpperCamelCase					:str					     =	requests.get(snake_case__       ,					allow_redirects=snake_case__		)
			_UpperCamelCase					:str					     =	os.path.join(snake_case__       ,					f"{artifact_name}.zip"		)
			with open(snake_case__       ,					'''wb'''		) as fp:
						fp.write(response.content		)





def 				A_       ( snake_case__       ,					snake_case__=None		)					->  Union[str, Any]:
			_UpperCamelCase					:str					     =	[]
			_UpperCamelCase					:Optional[int]					     =	[]
			_UpperCamelCase					:Union[str, Any]					     =	None

			with zipfile.ZipFile(snake_case__		) as z:
						for filename in z.namelist():
									if not os.path.isdir(snake_case__		):
												# read the file
												if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
															with z.open(snake_case__		) as f:
																		for line in f:
																					_UpperCamelCase					:Tuple					     =	line.decode('''UTF-8'''		).strip()
																					if filename == "failures_line.txt":
																								try:
																											# `error_line` is the place where `error` occurs
																											_UpperCamelCase					:List[str]					     =	line[: line.index(''': '''		)]
																											_UpperCamelCase					: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
																								_UpperCamelCase					:List[str]					     =	line[len('''FAILED '''		) :]
																								failed_tests.append(snake_case__		)
																					elif filename == "job_name.txt":
																								_UpperCamelCase					:List[str]					     =	line

			if len(snake_case__		) != len(snake_case__		):
						raise ValueError(
						    f"`errors` and `failed_tests` should have the same number of elements. Got {len(snake_case__		)} for `errors` "
						    f"and {len(snake_case__		)} for `failed_tests` instead. The test reports in {artifact_zip_path} have some"
						    ''' problem.'''		)

			_UpperCamelCase					:List[Any]					     =	None
			if job_name and job_links:
						_UpperCamelCase					:Any					     =	job_links.get(snake_case__       ,					snake_case__		)

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

			return result





def 				A_       ( snake_case__       ,					snake_case__=None		)					->  int:
			_UpperCamelCase					:List[str]					     =	[]

			_UpperCamelCase					:Optional[int]					     =	[os.path.join(snake_case__       ,					snake_case__		) for p in os.listdir(snake_case__		) if p.endswith('''.zip'''		)]
			for p in paths:
						errors.extend(get_errors_from_single_artifact(snake_case__       ,					job_links=snake_case__		)		)

			return errors





def 				A_       ( snake_case__       ,					snake_case__=None		)					->  List[Any]:
			_UpperCamelCase					:int					     =	Counter()
			counter.update([x[1] for x in logs]		)
			_UpperCamelCase					:Any					     =	counter.most_common()
			_UpperCamelCase					:List[str]					     =	{}
			for error, count in counts:
						if error_filter is None or error not in error_filter:
									_UpperCamelCase					:Union[str, Any]					     =	{'''count''': count, '''failed_tests''': [(x[2], x[0]) for x in logs if x[1] == error]}

			_UpperCamelCase					:Optional[int]					     =	dict(sorted(r.items()       ,					key=lambda snake_case__		: item[1]["count"]       ,					reverse=snake_case__		)		)
			return r





def 				A_       ( snake_case__		)					->  Tuple:
			_UpperCamelCase					:List[Any]					     =	test.split('''::'''		)[0]
			if test.startswith('''tests/models/'''		):
						_UpperCamelCase					:Tuple					     =	test.split('''/'''		)[2]
			else:
						_UpperCamelCase					:Union[str, Any]					     =	None

			return test





def 				A_       ( snake_case__       ,					snake_case__=None		)					->  Optional[Any]:
			_UpperCamelCase					:str					     =	[(x[0], x[1], get_model(x[2]		)) for x in logs]
			_UpperCamelCase					:int					     =	[x for x in logs if x[2] is not None]
			_UpperCamelCase					:str					     =	{x[2] for x in logs}

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

			_UpperCamelCase					:List[str]					     =	dict(sorted(r.items()       ,					key=lambda snake_case__		: item[1]["count"]       ,					reverse=snake_case__		)		)
			return r





def 				A_       ( snake_case__		)					->  int:
			_UpperCamelCase					:Tuple					     =	'''| no. | error | status |'''
			_UpperCamelCase					:Tuple					     =	'''|-:|:-|:-|'''
			_UpperCamelCase					:Optional[Any]					     =	[header, sep]
			for error in reduced_by_error:
						_UpperCamelCase					:Optional[Any]					     =	reduced_by_error[error]['''count''']
						_UpperCamelCase					:List[Any]					     =	f"| {count} | {error[:1_00]} |  |"
						lines.append(snake_case__		)

			return "\n".join(snake_case__		)





def 				A_       ( snake_case__		)					->  List[Any]:
			_UpperCamelCase					:str					     =	'''| model | no. of errors | major error | count |'''
			_UpperCamelCase					:Tuple					     =	'''|-:|-:|-:|-:|'''
			_UpperCamelCase					:Union[str, Any]					     =	[header, sep]
			for model in reduced_by_model:
						_UpperCamelCase					:List[str]					     =	reduced_by_model[model]['''count''']
						_UpperCamelCase     ,      _UpperCamelCase					:List[str]					     =	list(reduced_by_model[model]['''errors'''].items()		)[0]
						_UpperCamelCase					:str					     =	f"| {model} | {count} | {error[:60]} | {_count} |"
						lines.append(snake_case__		)

			return "\n".join(snake_case__		)


if __name__ == "__main__":
					UpperCamelCase__				:Any			   =	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.""")
					UpperCamelCase__				:List[Any]			   =	parser.parse_args()

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

					UpperCamelCase__				:Optional[int]			   =	get_job_links(args.workflow_run_id, token=args.token)
					UpperCamelCase__				:Optional[int]			   =	{}
					# 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:
																				UpperCamelCase__				:Union[str, Any]			   =	k.find(""" / """)
																				UpperCamelCase__				:Tuple			   =	k[index + len(""" / """) :]
															UpperCamelCase__				:Any			   =	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)

					UpperCamelCase__				:Any			   =	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)

					UpperCamelCase__				:Optional[Any]			   =	get_all_errors(args.output_dir, job_links=job_links)

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

					# print the top 30 most common test errors
					UpperCamelCase__				:Any			   =	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)

					UpperCamelCase__				:str			   =	reduce_by_error(errors)
					UpperCamelCase__				:Any			   =	reduce_by_model(errors)

					UpperCamelCase__				:int			   =	make_github_table(reduced_by_error)
					UpperCamelCase__				:int			   =	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)





"""simple docstring"""






from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np






class      A(  lowerCamelCase__		):

		"""simple docstring"""





		def   _UpperCamelCase( self					,				SCREAMING_SNAKE_CASE__   )      ->	float:

					"""simple docstring"""



					return 0.0





def 				A_       ( snake_case__       ,					snake_case__		)					->  tuple[int | float, int | float]:
			_UpperCamelCase					:Union[str, Any]					     =	min([-20, np.min(fft_results[1 : samplerate // 2 - 1]		)]		)
			_UpperCamelCase					:Optional[int]					     =	max([20, np.max(fft_results[1 : samplerate // 2 - 1]		)]		)
			return lowest, highest





def 				A_       ( snake_case__       ,					snake_case__		)					->  None:
			_UpperCamelCase					:List[str]					     =	5_12
			_UpperCamelCase					:int					     =	[1] + [0] * (size - 1)
			_UpperCamelCase					:Union[str, Any]					     =	[filter_type.process(snake_case__		) for item in inputs]

			_UpperCamelCase					:Any					     =	[0] * (samplerate - size)  # zero-padding
			outputs += filler
			_UpperCamelCase					:int					     =	np.abs(np.fft.fft(snake_case__		)		)
			_UpperCamelCase					:str					     =	20 * np.logaa(snake_case__		)

			# Frequencies on log scale from 24 to nyquist frequency
			plt.xlim(24       ,					samplerate / 2 - 1		)
			plt.xlabel('''Frequency (Hz)'''		)
			plt.xscale('''log'''		)

			# Display within reasonable bounds
			_UpperCamelCase					:Tuple					     =	get_bounds(snake_case__       ,					snake_case__		)
			plt.ylim(max([-80, bounds[0]]		)       ,					min([80, bounds[1]]		)		)
			plt.ylabel('''Gain (dB)'''		)

			plt.plot(snake_case__		)
			plt.show()





def 				A_       ( snake_case__       ,					snake_case__		)					->  None:
			_UpperCamelCase					:Tuple					     =	5_12
			_UpperCamelCase					:Union[str, Any]					     =	[1] + [0] * (size - 1)
			_UpperCamelCase					:List[Any]					     =	[filter_type.process(snake_case__		) for item in inputs]

			_UpperCamelCase					:str					     =	[0] * (samplerate - size)  # zero-padding
			outputs += filler
			_UpperCamelCase					:Tuple					     =	np.angle(np.fft.fft(snake_case__		)		)

			# Frequencies on log scale from 24 to nyquist frequency
			plt.xlim(24       ,					samplerate / 2 - 1		)
			plt.xlabel('''Frequency (Hz)'''		)
			plt.xscale('''log'''		)

			plt.ylim(-2 * pi       ,					2 * pi		)
			plt.ylabel('''Phase shift (Radians)'''		)
			plt.plot(np.unwrap(snake_case__       ,					-2 * pi		)		)
			plt.show()

