






from maths.prime_check import is_prime


def        _a  (     UpperCamelCase_					:				int   ) ->   int:
						"""simple docstring"""







						if not isinstance(UpperCamelCase_    ,   UpperCamelCase_   ):
												lowerCAmelCase__       =						F"Input value of [number={number}] must be an integer"
												raise TypeError(UpperCamelCase_   )
						if is_prime(UpperCamelCase_   ) and is_prime(number + 2   ):
												return number + 2
						else:
												return -1


if __name__ == "__main__":
	import doctest

	doctest.testmod()














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


a_,						a_,						a_							=    False, False, False


@dataclass
class      lowercase__     :
	a_         =None
	a_         =True
	a_         =True
	a_         =None
	# Automatically constructed
	a_         ="dict"
	a_         =pa.struct({"""bytes""": pa.binary(), """path""": pa.string()}	)
	a_         =field(default="""Audio""",					init=_UpperCAmelCase,					repr=_UpperCAmelCase	)

	def __call__(							self       )->					Optional[int]:







							'''simple docstring'''





							return self.pa_type

	def 		UpperCAmelCase  (							self		,    __UpperCAmelCase       )->					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(__UpperCAmelCase		,    __UpperCAmelCase       ):
													return {"bytes": None, "path": value}
							elif isinstance(__UpperCAmelCase		,    __UpperCAmelCase       ):
													return {"bytes": value, "path": None}
							elif "array" in value:
													# convert the audio array to wav bytes
													lowerCAmelCase__       =						BytesIO()
													sf.write(__UpperCAmelCase		,    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       ) / 32767
																			else:
																									lowerCAmelCase__       =						np.memmap(value["path"]		,    dtype="h"		,    mode="r"       ).astype(np.floataa       ) / 32767

																			lowerCAmelCase__       =						BytesIO(bytes()       )
																			sf.write(__UpperCAmelCase		,    __UpperCAmelCase		,    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 		UpperCAmelCase  (							self		,    __UpperCAmelCase		,    __UpperCAmelCase = None       )->					dict:







							'''simple docstring'''





							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(__UpperCAmelCase       )[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(__UpperCAmelCase		,    config.HUB_DATASETS_URL       )["repo_id"]
																			lowerCAmelCase__       =						token_per_repo_id[repo_id]
													except (ValueError, KeyError):
																			lowerCAmelCase__       =						None

													with xopen(__UpperCAmelCase		,    "rb"		,    use_auth_token=__UpperCAmelCase       ) as f:
																			lowerCAmelCase__      ,							lowerCAmelCase__       =						sf.read(__UpperCAmelCase       )

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

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

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

	def 		UpperCAmelCase  (							self       )->					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 		UpperCAmelCase  (							self		,    __UpperCAmelCase       )->					pa.StructArray:







							'''simple docstring'''





							if pa.types.is_string(storage.type       ):
													lowerCAmelCase__       =						pa.array([None] * len(__UpperCAmelCase       )		,    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(__UpperCAmelCase       )		,    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(__UpperCAmelCase       ) 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(__UpperCAmelCase       )		,    type=pa.binary()       )
													if storage.type.get_field_index("path"       ) >= 0:
																			lowerCAmelCase__       =						storage.field("path"       )
													else:
																			lowerCAmelCase__       =						pa.array([None] * len(__UpperCAmelCase       )		,    type=pa.string()       )
													lowerCAmelCase__       =						pa.StructArray.from_arrays([bytes_array, path_array]		,    ["bytes", "path"]		,    mask=storage.is_null()       )
							return array_cast(__UpperCAmelCase		,    self.pa_type       )


	def 		UpperCAmelCase  (							self		,    __UpperCAmelCase       )->					pa.StructArray:







							'''simple docstring'''





							@no_op_if_value_is_null
							def path_to_bytes(__UpperCAmelCase       ):
													with xopen(__UpperCAmelCase		,    "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(__UpperCAmelCase       ) 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(__UpperCAmelCase		,    self.pa_type       )






