
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__ :       Optional[Any]						     =			logging.get_logger(__name__)





def __A						(   a_ :							Optional[Any]		,		a_ :							Any     )->							Tuple:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     List[str]				= set()
		SCREAMING_SNAKE_CASE       :     Union[str, Any]				= []

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

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




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     Union[str, Any]				= set()

		SCREAMING_SNAKE_CASE       :     Optional[Any]				= [os.path.join(a_		,		a_     ) for p in os.listdir(a_     ) if (p.endswith('''.zip'''     ) or from_gh)]
		for p in paths:
				selected_warnings.update(extract_warnings_from_single_artifact(a_		,		a_     )     )

		return selected_warnings


if __name__ == "__main__":





					def __A						(   a_ :							Union[str, Any]     )->							int:




							'''simple docstring'''






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

					lowerCamelCase__ :       Union[str, Any]						     =			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__ :       List[str]						     =			parser.parse_args()

					lowerCamelCase__ :       Union[str, 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
										lowerCamelCase__ :       Any						     =			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__ :       Union[str, Any]						     =			extract_warnings(args.output_dir, args.targets)
					lowerCamelCase__ :       Any						     =			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 math
from typing import Optional

import numpy as np

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase__ :       Tuple						     =			logging.get_logger(__name__)

lowerCamelCase__ :       Any						     =			{
    "facebook/encodec_24khz": "https://huggingface.co/facebook/encodec_24khz/resolve/main/config.json",
    "facebook/encodec_48khz": "https://huggingface.co/facebook/encodec_48khz/resolve/main/config.json",
}




class 				lowercase__(				_UpperCAmelCase   ):
	'''simple docstring'''

	UpperCamelCase				=  """encodec"""





	def __init__(						self    :List[str]		, lowerCamelCase_    :Tuple=[1.5, 3.0, 6.0, 1_2.0, 2_4.0]		, lowerCamelCase_    :str=2_40_00		, lowerCamelCase_    :Any=1		, lowerCamelCase_    :List[Any]=False		, lowerCamelCase_    :Optional[int]=None		, lowerCamelCase_    :Optional[Any]=None		, lowerCamelCase_    :str=1_28		, lowerCamelCase_    :Any=32		, lowerCamelCase_    :int=1		, lowerCamelCase_    :Dict=[8, 5, 4, 2]		, lowerCamelCase_    :List[Any]="weight_norm"		, lowerCamelCase_    :Optional[int]=7		, lowerCamelCase_    :Tuple=7		, lowerCamelCase_    :Optional[Any]=3		, lowerCamelCase_    :int=2		, lowerCamelCase_    :Dict=True		, lowerCamelCase_    :Optional[int]="reflect"		, lowerCamelCase_    :Optional[int]=2		, lowerCamelCase_    :Union[str, Any]=2		, lowerCamelCase_    :Dict=1.0		, lowerCamelCase_    :Any=10_24		, lowerCamelCase_    :str=None		, lowerCamelCase_    :Union[str, Any]=True		, **lowerCamelCase_    :Optional[int]		, )							->			Dict:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Optional[Any]				= target_bandwidths
			SCREAMING_SNAKE_CASE       :     List[str]				= sampling_rate
			SCREAMING_SNAKE_CASE       :     Tuple				= audio_channels
			SCREAMING_SNAKE_CASE       :     Tuple				= normalize
			SCREAMING_SNAKE_CASE       :     str				= chunk_length_s
			SCREAMING_SNAKE_CASE       :     List[str]				= overlap
			SCREAMING_SNAKE_CASE       :     int				= hidden_size
			SCREAMING_SNAKE_CASE       :     Optional[int]				= num_filters
			SCREAMING_SNAKE_CASE       :     Tuple				= num_residual_layers
			SCREAMING_SNAKE_CASE       :     List[Any]				= upsampling_ratios
			SCREAMING_SNAKE_CASE       :     Optional[int]				= norm_type
			SCREAMING_SNAKE_CASE       :     Any				= kernel_size
			SCREAMING_SNAKE_CASE       :     Union[str, Any]				= last_kernel_size
			SCREAMING_SNAKE_CASE       :     Tuple				= residual_kernel_size
			SCREAMING_SNAKE_CASE       :     Any				= dilation_growth_rate
			SCREAMING_SNAKE_CASE       :     Optional[int]				= use_causal_conv
			SCREAMING_SNAKE_CASE       :     str				= pad_mode
			SCREAMING_SNAKE_CASE       :     List[Any]				= compress
			SCREAMING_SNAKE_CASE       :     Optional[Any]				= num_lstm_layers
			SCREAMING_SNAKE_CASE       :     Dict				= trim_right_ratio
			SCREAMING_SNAKE_CASE       :     List[Any]				= codebook_size
			SCREAMING_SNAKE_CASE       :     Union[str, Any]				= codebook_dim if codebook_dim is not None else hidden_size
			SCREAMING_SNAKE_CASE       :     Union[str, Any]				= use_conv_shortcut

			if self.norm_type not in ["weight_norm", "time_group_norm"]:
					raise ValueError(
					    f"self.norm_type must be one of `\"weight_norm\"`, `\"time_group_norm\"`), got {self.norm_type}"					)

			super().__init__(**lowerCamelCase_					)





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







			'''simple docstring'''




			if self.chunk_length_s is None:
					return None
			else:
					return int(self.chunk_length_s * self.sampling_rate					)





	@property
	def   __lowerCAmelCase (						self    :List[str]					)							->			Optional[int]:







			'''simple docstring'''




			if self.chunk_length_s is None or self.overlap is None:
					return None
			else:
					return max(1		, int((1.0 - self.overlap) * self.chunk_length					)					)





	@property
	def   __lowerCAmelCase (						self    :Dict					)							->			int:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Tuple				= np.prod(self.upsampling_ratios					)
			return math.ceil(self.sampling_rate / hop_length					)







	@property
	def   __lowerCAmelCase (						self    :Dict					)							->			int:







			'''simple docstring'''




			return int(10_00 * self.target_bandwidths[-1] // (self.frame_rate * 10)					)





