



"""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


lowercase__			   =  logging.get_logger(__name__)





def       __magic_name__    (   _lowerCamelCase				: List[Any]  ,       _lowerCamelCase				: List[Any]					):
							__a		:		str									=       set()
							__a		:		Optional[Any]									=       []

							def parse_line(_lowerCamelCase				: List[Any]					):
														for line in fp:
																					if isinstance(_lowercase  ,       _lowercase					):
																												__a		:		List[str]									=       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(_lowercase					) > 0:
																																			__a		:		List[str]									=       '\n'.join(_lowercase					)
																																			# Only keep the warnings specified in `targets`
																																			if any(F''': {x}: ''' in warning for x in targets					):
																																										selected_warnings.add(_lowercase					)
																																			buffer.clear()
																												continue
																					else:
																												__a		:		Any									=       line.strip()
																												buffer.append(_lowercase					)

							if from_gh:
														for filename in os.listdir(_lowercase					):
																					__a		:		Dict									=       os.path.join(_lowercase  ,       _lowercase					)
																					if not os.path.isdir(_lowercase					):
																												# read the file
																												if filename != "warnings.txt":
																																			continue
																												with open(_lowercase					) as fp:
																																			parse_line(_lowercase					)
							else:
														try:
																					with zipfile.ZipFile(_lowercase					) as z:
																												for filename in z.namelist():
																																			if not os.path.isdir(_lowercase					):
																																										# read the file
																																										if filename != "warnings.txt":
																																																	continue
																																										with z.open(_lowercase					) as fp:
																																																	parse_line(_lowercase					)
														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       __magic_name__    (   _lowerCamelCase				: Tuple  ,       _lowerCamelCase				: Any					):
							__a		:		Tuple									=       set()

							__a		:		Any									=       [os.path.join(_lowercase  ,       _lowercase					) for p in os.listdir(_lowercase					) if (p.endswith(""".zip"""					) or from_gh)]
							for p in paths:
														selected_warnings.update(extract_warnings_from_single_artifact(_lowercase  ,       _lowercase					)					)

							return selected_warnings


if __name__ == "__main__":





			def       __magic_name__    (   _lowerCamelCase				: Optional[int]					):
										return values.split(""","""					)

			lowercase__			   =  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.",
			)

			lowercase__			   =  parser.parse_args()

			lowercase__			   =  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
						lowercase__			   =  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
			lowercase__			   =  extract_warnings(args.output_dir, args.targets)
			lowercase__			   =  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"""

from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters





def       __magic_name__    (   ):
							__a		:		Dict									=       {
							    """repo_name""": ["""test_repo1""", """test_repo2""", """test_repo3"""],
							    """path""": ["""test_1.py""", """test_2.py""", """unit_test.py"""],
							    """content""": ["""a """ * 2_0, """a """ * 3_0, """b """ * 7],
							}
							__a		:		Optional[Any]									=       Dataset.from_dict(_lowerCamelCase					)
							return dataset







class SCREAMING_SNAKE_CASE__					(		__snake_case      ):



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Optional[int]									=       get_dataset()
													__a		:		List[Any]									=       make_duplicate_clusters(_lowercase						,     0.85							)
													self.assertEqual(len(duplicate_clusters[0]							)						,     2							)





						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Tuple									=       get_dataset()
													__a							,     __a		:		Optional[Any]									=       deduplicate_dataset(_lowercase							)
													self.assertEqual(len(_lowercase							)						,     2							)
													print(_lowercase							)
													self.assertEqual(duplicate_clusters[0][0]["""copies"""]						,     2							)
													self.assertEqual(duplicate_clusters[0][0]["""is_extreme"""]						,     _lowercase							)

