


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


lowerCAmelCase							=						logging.get_logger(__name__)




def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			)		->    Any:




						'''simple docstring'''







						__UpperCAmelCase :       str  						=  set()
						__UpperCAmelCase :       Any  						=  []

						def parse_line(lowercase_			):
												for line in fp:
																		if isinstance(lowercase_			,					lowercase_			):
																								__UpperCAmelCase :       List[Any]  						=  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:
																														__UpperCAmelCase :       Any  						=  '''\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:
																								__UpperCAmelCase :       str  						=  line.strip()
																								buffer.append(lowercase_			)

						if from_gh:
												for filename in os.listdir(lowercase_			):
																		__UpperCAmelCase :       Optional[Any]  						=  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 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			)		->    str:




						'''simple docstring'''







						__UpperCAmelCase :       Optional[Any]  						=  set()

						__UpperCAmelCase :       Optional[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 						__SCREAMING_SNAKE_CASE       (					lowercase_			)		->    Optional[Any]:




										'''simple docstring'''







										return values.split(''','''			)

				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.""")
				# 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.""",
				)

				lowerCAmelCase							=						parser.parse_args()

				lowerCAmelCase							=						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
								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)

								# 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
				lowerCAmelCase							=						extract_warnings(args.output_dir, args.targets)
				lowerCAmelCase							=						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)





import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


lowerCAmelCase							=						"""sshleifer/bart-tiny-random"""
lowerCAmelCase							=						"""patrickvonplaten/t5-tiny-random"""




@require_torch
class        lowerCamelCase      (     unittest.TestCase   ):


	@cached_property
	def    A(						self):
							return AutoConfig.from_pretrained(lowercase__)


	def    A(						self):
							__UpperCAmelCase						,			*__UpperCAmelCase :       Dict  						=  create_student_by_copying_alternating_layers(lowercase__							,    tempfile.mkdtemp()							,    e=1							,    d=1)
							self.assertEqual(student.config.num_hidden_layers							,    1)


	def    A(						self):
							__UpperCAmelCase						,			*__UpperCAmelCase :       Union[str, Any]  						=  create_student_by_copying_alternating_layers(lowercase__							,    tempfile.mkdtemp()							,    e=1							,    d=lowercase__)


	def    A(						self):
							__UpperCAmelCase						,			*__UpperCAmelCase :       Tuple  						=  create_student_by_copying_alternating_layers(lowercase__							,    tempfile.mkdtemp()							,    e=1							,    d=lowercase__)
							self.assertEqual(student.config.encoder_layers							,    1)
							self.assertEqual(student.config.decoder_layers							,    self.teacher_config.encoder_layers)


	def    A(						self):
							__UpperCAmelCase						,			*__UpperCAmelCase :       Dict  						=  create_student_by_copying_alternating_layers(lowercase__							,    tempfile.mkdtemp()							,    e=1							,    d=1)
							self.assertEqual(student.config.encoder_layers							,    1)
							self.assertEqual(student.config.decoder_layers							,    1)


	def    A(						self):
							with self.assertRaises(lowercase__):
													create_student_by_copying_alternating_layers(lowercase__							,    tempfile.mkdtemp()							,    e=lowercase__							,    d=lowercase__)

