

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        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__      )  ->					List[str]:
	__lowerCamelCase    :    str 	=			set()
	__lowerCamelCase    :    Optional[Any] 	=			[]

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

	if from_gh:
		for filename in os.listdir(lowerCamelCase__      ):
			__lowerCamelCase    :    Dict 	=			os.path.join(lowerCamelCase__     ,			lowerCamelCase__      )
			if not os.path.isdir(lowerCamelCase__      ):
				# read the file
				if filename != "warnings.txt":
					continue
				with open(lowerCamelCase__      ) as fp:
					parse_line(lowerCamelCase__      )
	else:
		try:
			with zipfile.ZipFile(lowerCamelCase__      ) as z:
				for filename in z.namelist():
					if not os.path.isdir(lowerCamelCase__      ):
						# read the file
						if filename != "warnings.txt":
							continue
						with z.open(lowerCamelCase__      ) as fp:
							parse_line(lowerCamelCase__      )
		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__	(  lowerCamelCase__     ,			lowerCamelCase__      )  ->					Tuple:
	__lowerCamelCase    :    str 	=			set()

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

	return selected_warnings


if __name__ == "__main__":






					def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					int:
						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)







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


a		={
    """configuration_pix2struct""": [
        """PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """Pix2StructConfig""",
        """Pix2StructTextConfig""",
        """Pix2StructVisionConfig""",
    ],
    """processing_pix2struct""": ["""Pix2StructProcessor"""],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					a		=["""Pix2StructImageProcessor"""]


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					a		=[
					    """PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """Pix2StructPreTrainedModel""",
					    """Pix2StructForConditionalGeneration""",
					    """Pix2StructVisionModel""",
					    """Pix2StructTextModel""",
					]

if TYPE_CHECKING:
					from .configuration_pixastruct import (
					    PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    PixaStructConfig,
					    PixaStructTextConfig,
					    PixaStructVisionConfig,
					)
					from .processing_pixastruct import PixaStructProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_pixastruct import PixaStructImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_pixastruct import (
										    PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    PixaStructForConditionalGeneration,
										    PixaStructPreTrainedModel,
										    PixaStructTextModel,
										    PixaStructVisionModel,
										)

else:
					import sys

					a		=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




