



"""simple docstring"""






import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__snake_case							:     List[Any]   =					logging.get_logger(__name__)

__snake_case							:     Dict   =					{
    'nvidia/segformer-b0-finetuned-ade-512-512': (
        'https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}



class     A__     (						__lowerCamelCase							):




 '''simple docstring'''





 SCREAMING_SNAKE_CASE					   =			'segformer'

 def __init__(  self:	Tuple ,    _SCREAMING_SNAKE_CASE:	Optional[Any]=3 ,    _SCREAMING_SNAKE_CASE:	Optional[int]=4 ,    _SCREAMING_SNAKE_CASE:	Tuple=[2, 2, 2, 2] ,    _SCREAMING_SNAKE_CASE:	List[str]=[8, 4, 2, 1] ,    _SCREAMING_SNAKE_CASE:	Union[str, Any]=[32, 64, 160, 256] ,    _SCREAMING_SNAKE_CASE:	Any=[7, 3, 3, 3] ,    _SCREAMING_SNAKE_CASE:	Any=[4, 2, 2, 2] ,    _SCREAMING_SNAKE_CASE:	Union[str, Any]=[1, 2, 5, 8] ,    _SCREAMING_SNAKE_CASE:	Tuple=[4, 4, 4, 4] ,    _SCREAMING_SNAKE_CASE:	str="gelu" ,    _SCREAMING_SNAKE_CASE:	List[Any]=0.0 ,    _SCREAMING_SNAKE_CASE:	int=0.0 ,    _SCREAMING_SNAKE_CASE:	int=0.1 ,    _SCREAMING_SNAKE_CASE:	List[str]=0.02 ,    _SCREAMING_SNAKE_CASE:	Dict=0.1 ,    _SCREAMING_SNAKE_CASE:	Dict=1e-6 ,    _SCREAMING_SNAKE_CASE:	int=256 ,    _SCREAMING_SNAKE_CASE:	Optional[int]=255 ,    **_SCREAMING_SNAKE_CASE:	Tuple ,    )       -> Optional[Any]:

    """simple docstring"""

    super().__init__(**UpperCAmelCase_)

    if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
       warnings.warn(
           "Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be"
           " removed, as the behaviour will default to that of reshape_last_stage = True." ,    UpperCAmelCase_ ,    )

    __lowerCAmelCase   :						List[Any]				= num_channels
    __lowerCAmelCase   :						Any				= num_encoder_blocks
    __lowerCAmelCase   :						Dict				= depths
    __lowerCAmelCase   :						int				= sr_ratios
    __lowerCAmelCase   :						str				= hidden_sizes
    __lowerCAmelCase   :						List[str]				= patch_sizes
    __lowerCAmelCase   :						Optional[int]				= strides
    __lowerCAmelCase   :						Dict				= mlp_ratios
    __lowerCAmelCase   :						List[str]				= num_attention_heads
    __lowerCAmelCase   :						int				= hidden_act
    __lowerCAmelCase   :						Any				= hidden_dropout_prob
    __lowerCAmelCase   :						str				= attention_probs_dropout_prob
    __lowerCAmelCase   :						List[str]				= classifier_dropout_prob
    __lowerCAmelCase   :						List[Any]				= initializer_range
    __lowerCAmelCase   :						Union[str, Any]				= drop_path_rate
    __lowerCAmelCase   :						int				= layer_norm_eps
    __lowerCAmelCase   :						Dict				= decoder_hidden_size
    __lowerCAmelCase   :						List[Any]				= kwargs.get("reshape_last_stage" ,    UpperCAmelCase_)
    __lowerCAmelCase   :						List[str]				= semantic_loss_ignore_index






class     A__     (						__lowerCamelCase							):




 '''simple docstring'''





 SCREAMING_SNAKE_CASE					   =			version.parse('1.11'							)

 @property
 def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[Any])       -> str:

    """simple docstring"""

    return OrderedDict(
        [
            ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
        ])

 @property
 def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[Any])       -> Optional[Any]:

    """simple docstring"""

    return 1e-4







 @property
 def 							_SCREAMING_SNAKE_CASE     (  self:	Any)       -> Optional[Any]:

    """simple docstring"""

    return 12




"""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


__snake_case							:     Tuple   =					logging.get_logger(__name__)


def     _lowercase       (						__snake_case      ,__snake_case			)		->     Dict:
			__lowerCAmelCase   :						Optional[Any]				= set()
			__lowerCAmelCase   :						List[Any]				= []

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

			if from_gh:
						for filename in os.listdir(__snake_case			):
									__lowerCAmelCase   :						List[str]				= os.path.join(__snake_case      ,__snake_case			)
									if not os.path.isdir(__snake_case			):
												# read the file
												if filename != "warnings.txt":
															continue
												with open(__snake_case			) as fp:
															parse_line(__snake_case			)
			else:
						try:
									with zipfile.ZipFile(__snake_case			) as z:
												for filename in z.namelist():
															if not os.path.isdir(__snake_case			):
																		# read the file
																		if filename != "warnings.txt":
																					continue
																		with z.open(__snake_case			) as fp:
																					parse_line(__snake_case			)
						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     _lowercase       (						__snake_case      ,__snake_case			)		->     Any:
			__lowerCAmelCase   :						Any				= set()

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

			return selected_warnings


if __name__ == "__main__":


	def     _lowercase       (						__snake_case			)		->     Optional[Any]:
				return values.split(","			)

	__snake_case							:     Optional[int]   =					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.',
	)

	__snake_case							:     Tuple   =					parser.parse_args()

	__snake_case							:     Any   =					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
		__snake_case							:     str   =					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
	__snake_case							:     Tuple   =					extract_warnings(args.output_dir, args.targets)
	__snake_case							:     List[str]   =					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)