


'''simple docstring'''






import os
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, Union

import numpy as np
import pyarrow as pa

from .. import config
from ..download.streaming_download_manager import xopen, xsplitext
from ..table import array_cast
from ..utils.py_utils import no_op_if_value_is_null, string_to_dict


if TYPE_CHECKING:
		from .features import FeatureType


__UpperCAmelCase       ,    __UpperCAmelCase       ,    __UpperCAmelCase					       =							False, False, False




@dataclass
class 	a__       :





							'''simple docstring'''






							lowercase__    :     Optional[int]					=   None
							lowercase__    :     bool					=   True
							lowercase__    :     bool					=   True
							lowercase__    :     Optional[str]					=   None
							# Automatically constructed
							lowercase__    :     ClassVar[str]					=   "dict"
							lowercase__    :     ClassVar[Any]					=   pa.struct({"bytes": pa.binary(), "path": pa.string()}						)
							lowercase__    :     str					=   field(default="Audio"       ,       init=a__       ,       repr=a__						)







							def __call__(	self     ) ->							List[str]:
														return self.pa_type







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							dict:
														try:
																					import soundfile as sf  # soundfile is a dependency of librosa, needed to decode audio files.
														except ImportError as err:
																					raise ImportError('''To support encoding audio data, please install \'soundfile\'.'''     ) from err
														if isinstance(lowerCamelCase_      ,					lowerCamelCase_     ):
																					return {"bytes": None, "path": value}
														elif isinstance(lowerCamelCase_      ,					lowerCamelCase_     ):
																					return {"bytes": value, "path": None}
														elif "array" in value:
																					# convert the audio array to wav bytes
																					lowerCAmelCase__      =			BytesIO()
																					sf.write(lowerCamelCase_      ,					value['''array''']      ,					value['''sampling_rate''']      ,					format='''wav'''     )
																					return {"bytes": buffer.getvalue(), "path": None}
														elif value.get('''path'''     ) is not None and os.path.isfile(value['''path''']     ):
																					# we set "bytes": None to not duplicate the data if they're already available locally
																					if value["path"].endswith('''pcm'''     ):
																												# "PCM" only has raw audio bytes
																												if value.get('''sampling_rate'''     ) is None:
																																			# At least, If you want to convert "PCM-byte" to "WAV-byte", you have to know sampling rate
																																			raise KeyError('''To use PCM files, please specify a \'sampling_rate\' in Audio object'''     )
																												if value.get('''bytes'''     ):
																																			# If we already had PCM-byte, we don`t have to make "read file, make bytes" (just use it!)
																																			lowerCAmelCase__      =			np.frombuffer(value['''bytes''']      ,					dtype=np.intaa     ).astype(np.floataa     ) / 3_27_67
																												else:
																																			lowerCAmelCase__      =			np.memmap(value['''path''']      ,					dtype='''h'''      ,					mode='''r'''     ).astype(np.floataa     ) / 3_27_67

																												lowerCAmelCase__      =			BytesIO(bytes()     )
																												sf.write(lowerCamelCase_      ,					lowerCamelCase_      ,					value['''sampling_rate''']      ,					format='''wav'''     )
																												return {"bytes": buffer.getvalue(), "path": None}
																					else:
																												return {"bytes": None, "path": value.get('''path'''     )}
														elif value.get('''bytes'''     ) is not None or value.get('''path'''     ) is not None:
																					# store the audio bytes, and path is used to infer the audio format using the file extension
																					return {"bytes": value.get('''bytes'''     ), "path": value.get('''path'''     )}
														else:
																					raise ValueError(
																					    F"""An audio sample should have one of 'path' or 'bytes' but they are missing or None in {value}."""     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_ = None     ) ->							dict:
														if not self.decode:
																					raise RuntimeError('''Decoding is disabled for this feature. Please use Audio(decode=True) instead.'''     )

														lowerCAmelCase__     ,      lowerCAmelCase__      =			(value['''path'''], BytesIO(value['''bytes''']     )) if value['''bytes'''] is not None else (value['''path'''], None)
														if path is None and file is None:
																					raise ValueError(F"""An audio sample should have one of 'path' or 'bytes' but both are None in {value}."""     )

														try:
																					import librosa
																					import soundfile as sf
														except ImportError as err:
																					raise ImportError('''To support decoding audio files, please install \'librosa\' and \'soundfile\'.'''     ) from err

														lowerCAmelCase__      =			xsplitext(lowerCamelCase_     )[1][1:].lower() if path is not None else None
														if not config.IS_OPUS_SUPPORTED and audio_format == "opus":
																					raise RuntimeError(
																					    '''Decoding \'opus\' files requires system library \'libsndfile\'>=1.0.31, '''
																					    '''You can try to update `soundfile` python library: `pip install "soundfile>=0.12.1"`. '''     )
														elif not config.IS_MP3_SUPPORTED and audio_format == "mp3":
																					raise RuntimeError(
																					    '''Decoding \'mp3\' files requires system library \'libsndfile\'>=1.1.0, '''
																					    '''You can try to update `soundfile` python library: `pip install "soundfile>=0.12.1"`. '''     )

														if file is None:
																					lowerCAmelCase__      =			token_per_repo_id or {}
																					lowerCAmelCase__      =			path.split('''::'''     )[-1]
																					try:
																												lowerCAmelCase__      =			string_to_dict(lowerCamelCase_      ,					config.HUB_DATASETS_URL     )['''repo_id''']
																												lowerCAmelCase__      =			token_per_repo_id[repo_id]
																					except (ValueError, KeyError):
																												lowerCAmelCase__      =			None

																					with xopen(lowerCamelCase_      ,					'''rb'''      ,					use_auth_token=lowerCamelCase_     ) as f:
																												lowerCAmelCase__     ,      lowerCAmelCase__      =			sf.read(lowerCamelCase_     )

														else:
																					lowerCAmelCase__     ,      lowerCAmelCase__      =			sf.read(lowerCamelCase_     )

														lowerCAmelCase__      =			array.T
														if self.mono:
																					lowerCAmelCase__      =			librosa.to_mono(lowerCamelCase_     )
														if self.sampling_rate and self.sampling_rate != sampling_rate:
																					lowerCAmelCase__      =			librosa.resample(lowerCamelCase_      ,					orig_sr=lowerCamelCase_      ,					target_sr=self.sampling_rate     )
																					lowerCAmelCase__      =			self.sampling_rate

														return {"path": path, "array": array, "sampling_rate": sampling_rate}







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Union["FeatureType", Dict[str, "FeatureType"]]:
														from .features import Value

														if self.decode:
																					raise ValueError('''Cannot flatten a decoded Audio feature.'''     )
														return {
														    "bytes": Value('''binary'''     ),
														    "path": Value('''string'''     ),
														}







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							pa.StructArray:
														if pa.types.is_string(storage.type     ):
																					lowerCAmelCase__      =			pa.array([None] * len(lowerCamelCase_     )      ,					type=pa.binary()     )
																					lowerCAmelCase__      =			pa.StructArray.from_arrays([bytes_array, storage]      ,					['''bytes''', '''path''']      ,					mask=storage.is_null()     )
														elif pa.types.is_binary(storage.type     ):
																					lowerCAmelCase__      =			pa.array([None] * len(lowerCamelCase_     )      ,					type=pa.string()     )
																					lowerCAmelCase__      =			pa.StructArray.from_arrays([storage, path_array]      ,					['''bytes''', '''path''']      ,					mask=storage.is_null()     )
														elif pa.types.is_struct(storage.type     ) and storage.type.get_all_field_indices('''array'''     ):
																					lowerCAmelCase__      =			pa.array([Audio().encode_example(lowerCamelCase_     ) if x is not None else None for x in storage.to_pylist()]     )
														elif pa.types.is_struct(storage.type     ):
																					if storage.type.get_field_index('''bytes'''     ) >= 0:
																												lowerCAmelCase__      =			storage.field('''bytes'''     )
																					else:
																												lowerCAmelCase__      =			pa.array([None] * len(lowerCamelCase_     )      ,					type=pa.binary()     )
																					if storage.type.get_field_index('''path'''     ) >= 0:
																												lowerCAmelCase__      =			storage.field('''path'''     )
																					else:
																												lowerCAmelCase__      =			pa.array([None] * len(lowerCamelCase_     )      ,					type=pa.string()     )
																					lowerCAmelCase__      =			pa.StructArray.from_arrays([bytes_array, path_array]      ,					['''bytes''', '''path''']      ,					mask=storage.is_null()     )
														return array_cast(lowerCamelCase_      ,					self.pa_type     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							pa.StructArray:

														@no_op_if_value_is_null
														def path_to_bytes(lowerCamelCase_     ):
																					with xopen(lowerCamelCase_      ,					'''rb'''     ) as f:
																												lowerCAmelCase__      =			f.read()
																					return bytes_

														lowerCAmelCase__      =			pa.array(
														    [
														        (path_to_bytes(x['''path''']     ) if x['''bytes'''] is None else x['''bytes''']) if x is not None else None
														        for x in storage.to_pylist()
														    ]      ,					type=pa.binary()      ,					)
														lowerCAmelCase__      =			pa.array(
														    [os.path.basename(lowerCamelCase_     ) if path is not None else None for path in storage.field('''path'''     ).to_pylist()]      ,					type=pa.string()      ,					)
														lowerCAmelCase__      =			pa.StructArray.from_arrays([bytes_array, path_array]      ,					['''bytes''', '''path''']      ,					mask=bytes_array.is_null()     )
														return array_cast(lowerCamelCase_      ,					self.pa_type     )



'''simple docstring'''






def       _snake_case     (  A )		->					bool:
							if not isinstance(A				,					A ):
														raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
							if len(A ) == 0:
														raise ValueError('''Input list must be a non empty list''' )
							if len(A ) == 1:
														return True
							lowerCAmelCase__      =			series[1] - series[0]
							for index in range(len(A ) - 1 ):
														if series[index + 1] - series[index] != common_diff:
																					return False
							return True


def       _snake_case     (  A )		->					float:
							if not isinstance(A				,					A ):
														raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
							if len(A ) == 0:
														raise ValueError('''Input list must be a non empty list''' )
							lowerCAmelCase__      =			0
							for val in series:
														answer += val
							return answer / len(A )


if __name__ == "__main__":
		import doctest

		doctest.testmod()