
"""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_       :    Any						      =			False, False, False



@dataclass
class __lowerCAmelCase					:




			"""simple docstring"""







			snake_case						   =					None
			snake_case						   =					True
			snake_case						   =					True
			snake_case						   =					None
			# Automatically constructed
			snake_case						   =					"dict"
			snake_case						   =					pa.struct({"bytes": pa.binary(), "path": pa.string()}   )
			snake_case						   =					field(default="Audio"  ,					init=_lowercase  ,					repr=_lowercase   )




			def __call__(					self    :       Dict						)   ->			str:







								"""simple docstring"""
								return self.pa_type




			def   lowerCamelCase__  (					self    :       Union[str, Any]							, _snake_case    :       Union[str, bytes, dict]						)   ->			dict:







								"""simple docstring"""
								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(_snake_case							, _snake_case						):
													return {"bytes": None, "path": value}
								elif isinstance(_snake_case							, _snake_case						):
													return {"bytes": value, "path": None}
								elif "array" in value:
													# convert the audio array to wav bytes
													A_								=    BytesIO()
													sf.write(_snake_case							, 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!)
																							A_								=    np.frombuffer(value["bytes"]							, dtype=np.intaa						).astype(np.floataa						) / 32_767
																		else:
																							A_								=    np.memmap(value["path"]							, dtype="h"							, mode="r"						).astype(np.floataa						) / 32_767

																		A_								=    BytesIO(bytes()						)
																		sf.write(_snake_case							, _snake_case							, 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   lowerCamelCase__  (					self    :       Any							, _snake_case    :       dict							, _snake_case    :       Optional[Dict[str, Union[str, bool, None]]] = None						)   ->			dict:







								"""simple docstring"""
								if not self.decode:
													raise RuntimeError("Decoding is disabled for this feature. Please use Audio(decode=True) instead."						)

								A_			,     A_								=    (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

								A_								=    xsplitext(_snake_case						)[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:
													A_								=    token_per_repo_id or {}
													A_								=    path.split("::"						)[-1]
													try:
																		A_								=    string_to_dict(_snake_case							, config.HUB_DATASETS_URL						)["repo_id"]
																		A_								=    token_per_repo_id[repo_id]
													except (ValueError, KeyError):
																		A_								=    None

													with xopen(_snake_case							, "rb"							, use_auth_token=_snake_case						) as f:
																		A_			,     A_								=    sf.read(_snake_case						)

								else:
													A_			,     A_								=    sf.read(_snake_case						)

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

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




			def   lowerCamelCase__  (					self    :       Any						)   ->			Union["FeatureType", Dict[str, "FeatureType"]]:







								"""simple docstring"""
								from .features import Value

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




			def   lowerCamelCase__  (					self    :       List[Any]							, _snake_case    :       Union[pa.StringArray, pa.StructArray]						)   ->			pa.StructArray:







								"""simple docstring"""
								if pa.types.is_string(storage.type						):
													A_								=    pa.array([None] * len(_snake_case						)							, type=pa.binary()						)
													A_								=    pa.StructArray.from_arrays([bytes_array, storage]							, ["bytes", "path"]							, mask=storage.is_null()						)
								elif pa.types.is_binary(storage.type						):
													A_								=    pa.array([None] * len(_snake_case						)							, type=pa.string()						)
													A_								=    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"						):
													A_								=    pa.array([Audio().encode_example(_snake_case						) 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:
																		A_								=    storage.field("bytes"						)
													else:
																		A_								=    pa.array([None] * len(_snake_case						)							, type=pa.binary()						)
													if storage.type.get_field_index("path"						) >= 0:
																		A_								=    storage.field("path"						)
													else:
																		A_								=    pa.array([None] * len(_snake_case						)							, type=pa.string()						)
													A_								=    pa.StructArray.from_arrays([bytes_array, path_array]							, ["bytes", "path"]							, mask=storage.is_null()						)
								return array_cast(_snake_case							, self.pa_type						)






			def   lowerCamelCase__  (					self    :       Tuple							, _snake_case    :       pa.StructArray						)   ->			pa.StructArray:







								"""simple docstring"""

								@no_op_if_value_is_null
								def path_to_bytes(_snake_case    :       List[Any]						):
													with xopen(_snake_case							, "rb"						) as f:
																		A_								=    f.read()
													return bytes_

								A_								=    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()							, )
								A_								=    pa.array(
								    [os.path.basename(_snake_case						) if path is not None else None for path in storage.field("path"						).to_pylist()]							, type=pa.string()							, )
								A_								=    pa.StructArray.from_arrays([bytes_array, path_array]							, ["bytes", "path"]							, mask=bytes_array.is_null()						)
								return array_cast(_snake_case							, self.pa_type						)






"""simple docstring"""





from __future__ import annotations
def 				A_  (__a					):

					'''simple docstring'''





					A_								=    0.00
					A_								=    0
					for resistor in resistors:
										if resistor <= 0:
															A_								=    f'Resistor at index {index} has a negative or zero value!'
															raise ValueError(__a					)
										first_sum += 1 / float(__a					)
										index += 1
					return 1 / first_sum
def 				A_  (__a					):

					'''simple docstring'''





					A_								=    0.00
					A_								=    0
					for resistor in resistors:
										sum_r += resistor
										if resistor < 0:
															A_								=    f'Resistor at index {index} has a negative value!'
															raise ValueError(__a					)
										index += 1
					return sum_r


if __name__ == "__main__":
		import doctest

		doctest.testmod()




