
'''simple docstring'''






import argparse
import json
import os
import time
import zipfile

from get_ci_error_statistics import download_artifact, get_artifacts_links

from transformers import logging


A			      =      logging.get_logger(__name__)





def    UpperCAmelCase							(  UpperCAmelCase__							:							int       ,							UpperCAmelCase__							:							Optional[Any]):
				lowerCamelCase					:			Tuple									= set()
				lowerCamelCase					:			Dict									= []

				def parse_line(UpperCAmelCase__							:							Tuple):
								for line in fp:
												if isinstance(UpperCAmelCase__       ,							UpperCAmelCase__):
																lowerCamelCase					:			Dict									= line.decode('UTF-8')
												if "warnings summary (final)" in line:
																continue
												# This means we are outside the body of a warning
												elif not line.startswith(' '):
																# process a single warning and move it to `selected_warnings`.
																if len(UpperCAmelCase__) > 0:
																				lowerCamelCase					:			int									= '\n'.join(UpperCAmelCase__)
																				# Only keep the warnings specified in `targets`
																				if any(F''': {x}: ''' in warning for x in targets):
																								selected_warnings.add(UpperCAmelCase__)
																				buffer.clear()
																continue
												else:
																lowerCamelCase					:			int									= line.strip()
																buffer.append(UpperCAmelCase__)

				if from_gh:
								for filename in os.listdir(UpperCAmelCase__):
												lowerCamelCase					:			int									= os.path.join(UpperCAmelCase__       ,							UpperCAmelCase__)
												if not os.path.isdir(UpperCAmelCase__):
																# read the file
																if filename != "warnings.txt":
																				continue
																with open(UpperCAmelCase__) as fp:
																				parse_line(UpperCAmelCase__)
				else:
								try:
												with zipfile.ZipFile(UpperCAmelCase__) as z:
																for filename in z.namelist():
																				if not os.path.isdir(UpperCAmelCase__):
																								# read the file
																								if filename != "warnings.txt":
																												continue
																								with z.open(UpperCAmelCase__) as fp:
																												parse_line(UpperCAmelCase__)
								except Exception:
												logger.warning(
												    F'''{artifact_path} is either an invalid zip file or something else wrong. This file is skipped.''')

				return selected_warnings





def    UpperCAmelCase							(  UpperCAmelCase__							:							str       ,							UpperCAmelCase__							:							str):
				lowerCamelCase					:			str									= set()

				lowerCamelCase					:			Tuple									= [os.path.join(UpperCAmelCase__       ,							UpperCAmelCase__) for p in os.listdir(UpperCAmelCase__) if (p.endswith('.zip') or from_gh)]
				for p in paths:
								selected_warnings.update(extract_warnings_from_single_artifact(UpperCAmelCase__       ,							UpperCAmelCase__))

				return selected_warnings


if __name__ == "__main__":





					def    UpperCAmelCase							(  UpperCAmelCase__							:							List[str]):
									return values.split(',')

					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.')
					# optional parameters
					parser.add_argument(
					    '--targets',
					    default='DeprecationWarning,UserWarning,FutureWarning',
					    type=list_str,
					    help='Comma-separated list of target warning(s) which we want to extract.',
					)
					parser.add_argument(
					    '--from_gh',
					    action='store_true',
					    help='If running from a GitHub action workflow and collecting warnings from its artifacts.',
					)

					A			      =      parser.parse_args()

					A			      =      args.from_gh
					if from_gh:
										# The artifacts have to be downloaded using `actions/download-artifact@v3`
										pass
					else:
										os.makedirs(args.output_dir, exist_ok=True)

										# get download links
										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)

										# download artifacts
										for idx, (name, url) in enumerate(artifacts.items()):
															print(name)
															print(url)
															print('=' * 80)
															download_artifact(name, url, args.output_dir, args.token)
															# Be gentle to GitHub
															time.sleep(1)

    # extract warnings from artifacts
					A			      =      extract_warnings(args.output_dir, args.targets)
					A			      =      sorted(selected_warnings)
					with open(os.path.join(args.output_dir, 'selected_warnings.json'), 'w', encoding='UTF-8') as fp:
										json.dump(selected_warnings, fp, ensure_ascii=False, indent=4)


'''simple docstring'''






import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
A			      =      {
    'E': 12.70,
    'T': 9.06,
    'A': 8.17,
    'O': 7.51,
    'I': 6.97,
    'N': 6.75,
    'S': 6.33,
    'H': 6.09,
    'R': 5.99,
    'D': 4.25,
    'L': 4.03,
    'C': 2.78,
    'U': 2.76,
    'M': 2.41,
    'W': 2.36,
    'F': 2.23,
    'G': 2.02,
    'Y': 1.97,
    'P': 1.93,
    'B': 1.29,
    'V': 0.98,
    'K': 0.77,
    'J': 0.15,
    'X': 0.15,
    'Q': 0.10,
    'Z': 0.07,
}
A			      =      'ETAOINSHRDLCUMWFGYPBVKJXQZ'
A			      =      'ABCDEFGHIJKLMNOPQRSTUVWXYZ'





def    UpperCAmelCase							(  UpperCAmelCase__							:							str):
				lowerCamelCase					:			Optional[Any]									= {letter: 0 for letter in string.ascii_uppercase}
				for letter in message.upper():
								if letter in LETTERS:
												letter_count[letter] += 1

				return letter_count





def    UpperCAmelCase							(  UpperCAmelCase__							:							tuple):
				return x[0]





def    UpperCAmelCase							(  UpperCAmelCase__							:							str):
				lowerCamelCase					:			Optional[Any]									= get_letter_count(UpperCAmelCase__)
				lowerCamelCase					:			dict[int, list[str]]									= {
				    freq: [] for letter, freq in letter_to_freq.items()
				}
				for letter in LETTERS:
								freq_to_letter[letter_to_freq[letter]].append(UpperCAmelCase__)

				lowerCamelCase					:			dict[int, str]									= {}

				for freq in freq_to_letter:
								freq_to_letter[freq].sort(key=ETAOIN.find       ,							reverse=UpperCAmelCase__)
								lowerCamelCase					:			int									= ''.join(freq_to_letter[freq])

				lowerCamelCase					:			Any									= list(freq_to_letter_str.items())
				freq_pairs.sort(key=UpperCAmelCase__       ,							reverse=UpperCAmelCase__)

				lowerCamelCase					:			list[str]									= [freq_pair[1] for freq_pair in freq_pairs]

				return "".join(UpperCAmelCase__)





def    UpperCAmelCase							(  UpperCAmelCase__							:							str):
				lowerCamelCase					:			Optional[Any]									= get_frequency_order(UpperCAmelCase__)
				lowerCamelCase					:			Optional[Any]									= 0
				for common_letter in ETAOIN[:6]:
								if common_letter in freq_order[:6]:
												match_score += 1

				for uncommon_letter in ETAOIN[-6:]:
								if uncommon_letter in freq_order[-6:]:
												match_score += 1

				return match_score


if __name__ == "__main__":
					import doctest

					doctest.testmod()
