



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

import requests






def       lowerCAmelCase__						(       lowerCamelCase_						:						Tuple			,lowerCamelCase_						:						Any=None):





				'''simple docstring'''

				lowerCAmelCase__	:							List[Any]				=	None
				if token is not None:
								lowerCAmelCase__	:							str				=	{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

				lowerCAmelCase__	:							Optional[int]				=	f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
				lowerCAmelCase__	:							Optional[Any]				=	requests.get(UpperCAmelCase__			,headers=UpperCAmelCase__).json()
				lowerCAmelCase__	:							List[Any]				=	{}

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

								for i in range(UpperCAmelCase__):
												lowerCAmelCase__	:							str				=	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       lowerCAmelCase__						(       lowerCamelCase_						:						str			,lowerCamelCase_						:						int=None):





				'''simple docstring'''

				lowerCAmelCase__	:							int				=	None
				if token is not None:
								lowerCAmelCase__	:							List[str]				=	{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

				lowerCAmelCase__	:							List[str]				=	f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
				lowerCAmelCase__	:							Union[str, Any]				=	requests.get(UpperCAmelCase__			,headers=UpperCAmelCase__).json()
				lowerCAmelCase__	:							int				=	{}

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

								for i in range(UpperCAmelCase__):
												lowerCAmelCase__	:							Union[str, Any]				=	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       lowerCAmelCase__						(       lowerCamelCase_						:						Union[str, Any]			,lowerCamelCase_						:						int			,lowerCamelCase_						:						Tuple			,lowerCamelCase_						:						Optional[int]):





				'''simple docstring'''

				lowerCAmelCase__	:							Optional[Any]				=	None
				if token is not None:
								lowerCAmelCase__	:							str				=	{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"""Bearer {token}"""}

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






def       lowerCAmelCase__						(       lowerCamelCase_						:						Tuple			,lowerCamelCase_						:						Union[str, Any]=None):





				'''simple docstring'''

				lowerCAmelCase__	:							List[str]				=	[]
				lowerCAmelCase__	:							Any				=	[]
				lowerCAmelCase__	:							List[str]				=	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:
																												lowerCAmelCase__	:							Optional[Any]				=	line.decode('''UTF-8''').strip()
																												if filename == "failures_line.txt":
																																try:
																																				# `error_line` is the place where `error` occurs
																																				lowerCAmelCase__	:							Tuple				=	line[: line.index(''': ''')]
																																				lowerCAmelCase__	:							Optional[int]				=	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__	:							List[Any]				=	line[len('''FAILED ''') :]
																																failed_tests.append(UpperCAmelCase__)
																												elif filename == "job_name.txt":
																																lowerCAmelCase__	:							Union[str, Any]				=	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.''')

				lowerCAmelCase__	:							Optional[int]				=	None
				if job_name and job_links:
								lowerCAmelCase__	:							Tuple				=	job_links.get(UpperCAmelCase__			,UpperCAmelCase__)

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

				return result






def       lowerCAmelCase__						(       lowerCamelCase_						:						List[Any]			,lowerCamelCase_						:						List[str]=None):





				'''simple docstring'''

				lowerCAmelCase__	:							str				=	[]

				lowerCAmelCase__	:							Dict				=	[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       lowerCAmelCase__						(       lowerCamelCase_						:						List[Any]			,lowerCamelCase_						:						Optional[int]=None):





				'''simple docstring'''

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

				lowerCAmelCase__	:							Optional[Any]				=	dict(sorted(r.items()			,key=lambda lowerCamelCase_: item[1]["count"]			,reverse=UpperCAmelCase__))
				return r






def       lowerCAmelCase__						(       lowerCamelCase_						:						List[str]):





				'''simple docstring'''

				lowerCAmelCase__	:							Any				=	test.split('''::''')[0]
				if test.startswith('''tests/models/'''):
								lowerCAmelCase__	:							Optional[int]				=	test.split('''/''')[2]
				else:
								lowerCAmelCase__	:							str				=	None

				return test






def       lowerCAmelCase__						(       lowerCamelCase_						:						List[str]			,lowerCamelCase_						:						Tuple=None):





				'''simple docstring'''

				lowerCAmelCase__	:							Any				=	[(x[0], x[1], get_model(x[2])) for x in logs]
				lowerCAmelCase__	:							Any				=	[x for x in logs if x[2] is not None]
				lowerCAmelCase__	:							Optional[int]				=	{x[2] for x in logs}

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

				lowerCAmelCase__	:							Any				=	dict(sorted(r.items()			,key=lambda lowerCamelCase_: item[1]["count"]			,reverse=UpperCAmelCase__))
				return r






def       lowerCAmelCase__						(       lowerCamelCase_						:						Optional[int]):





				'''simple docstring'''

				lowerCAmelCase__	:							int				=	'''| no. | error | status |'''
				lowerCAmelCase__	:							Any				=	'''|-:|:-|:-|'''
				lowerCAmelCase__	:							str				=	[header, sep]
				for error in reduced_by_error:
								lowerCAmelCase__	:							Optional[int]				=	reduced_by_error[error]['''count''']
								lowerCAmelCase__	:							Union[str, Any]				=	f"""| {count} | {error[:100]} |  |"""
								lines.append(UpperCAmelCase__)

				return "\n".join(UpperCAmelCase__)






def       lowerCAmelCase__						(       lowerCamelCase_						:						List[str]):





				'''simple docstring'''

				lowerCAmelCase__	:							Union[str, Any]				=	'''| model | no. of errors | major error | count |'''
				lowerCAmelCase__	:							Dict				=	'''|-:|-:|-:|-:|'''
				lowerCAmelCase__	:							Tuple				=	[header, sep]
				for model in reduced_by_model:
								lowerCAmelCase__	:							List[Any]				=	reduced_by_model[model]['''count''']
								lowerCAmelCase__		,						lowerCAmelCase__	:							Optional[int]				=	list(reduced_by_model[model]['''errors'''].items())[0]
								lowerCAmelCase__	:							int				=	f"""| {model} | {count} | {error[:60]} | {_count} |"""
								lines.append(UpperCAmelCase__)

				return "\n".join(UpperCAmelCase__)


if __name__ == "__main__":
							__snake_case							:						List[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.')
							__snake_case							:						int      =parser.parse_args()

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

							__snake_case							:						Optional[int]      =get_job_links(args.workflow_run_id, token=args.token)
							__snake_case							:						str      ={}
							# 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:
																												__snake_case							:						Tuple      =k.find(' / ')
																												__snake_case							:						Dict      =k[index + len(' / ') :]
																					__snake_case							:						List[str]      =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)

							__snake_case							:						Dict      =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)

							__snake_case							:						str      =get_all_errors(args.output_dir, job_links=job_links)

							# `e[1]` is the error
							__snake_case							:						Union[str, Any]      =Counter()
							counter.update([e[1] for e in errors])

							# print the top 30 most common test errors
							__snake_case							:						Optional[int]      =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)

							__snake_case							:						Optional[int]      =reduce_by_error(errors)
							__snake_case							:						Optional[Any]      =reduce_by_model(errors)

							__snake_case							:						List[str]      =make_github_table(reduced_by_error)
							__snake_case							:						str      =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'''







import csv

import tweepy

# Twitter API credentials
__lowerCamelCase									=     ''''''
__lowerCamelCase									=     ''''''
__lowerCamelCase									=     ''''''
__lowerCamelCase									=     ''''''
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      None:
       # authorize twitter, initialize tweepy
       A_						       =   tweepy.OAuthHandler(UpperCAmelCase__,							UpperCAmelCase__					)
       auth.set_access_token(UpperCAmelCase__,							UpperCAmelCase__					)
       A_						       =   tweepy.API(UpperCAmelCase__					)

       # initialize a list to hold all the tweepy Tweets
       A_						       =   []

       # make initial request for most recent tweets (200 is the maximum allowed count)
       A_						       =   api.user_timeline(screen_name=UpperCAmelCase__,							count=2_00					)

       # save most recent tweets
       alltweets.extend(UpperCAmelCase__					)

       # save the id of the oldest tweet less one
       A_						       =   alltweets[-1].id - 1

       # keep grabbing tweets until there are no tweets left to grab
       while len(UpperCAmelCase__					) > 0:
              print(F'''getting tweets before {oldest}'''					)

              # all subsequent requests use the max_id param to prevent duplicates
              A_						       =   api.user_timeline(
                  screen_name=UpperCAmelCase__,							count=2_00,							max_id=UpperCAmelCase__					)

              # save most recent tweets
              alltweets.extend(UpperCAmelCase__					)

              # update the id of the oldest tweet less one
              A_						       =   alltweets[-1].id - 1

              print(F'''...{len(UpperCAmelCase__					)} tweets downloaded so far'''					)

       # transform the tweepy tweets into a 2D array that will populate the csv
       A_						       =   [[tweet.id_str, tweet.created_at, tweet.text] for tweet in alltweets]

       # write the csv
       with open(F'''new_{screen_name}_tweets.csv''',							"""w"""					) as f:
              A_						       =   csv.writer(UpperCAmelCase__					)
              writer.writerow(["""id""", """created_at""", """text"""]					)
              writer.writerows(UpperCAmelCase__					)


if __name__ == "__main__":
      # pass in the username of the account you want to download
      get_all_tweets('''FirePing32''')
