





'''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


__lowerCamelCase				,    __lowerCamelCase				,    __lowerCamelCase : Any											=			False, False, False

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




		def __call__(self      :	Union[str, Any]				)					-> Dict:
						return self.pa_type




		def 				UpperCAmelCase__   (self      :	Optional[int]							,			A__      :	Dict				)					-> int:
						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(_a							,			_a				):
										return {"bytes": None, "path": value}
						elif isinstance(_a							,			_a				):
										return {"bytes": value, "path": None}
						elif "array" in value:
										# convert the audio array to wav bytes
										lowercase         = BytesIO()
										sf.write(_a							,			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!)
																		lowercase         = np.frombuffer(value["bytes"]							,			dtype=np.intaa				).astype(np.floataa				) / 3_2_7_6_7
														else:
																		lowercase         = np.memmap(value["path"]							,			dtype="h"							,			mode="r"				).astype(np.floataa				) / 3_2_7_6_7

														lowercase         = BytesIO(bytes()				)
														sf.write(_a							,			_a							,			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      :	List[Any]							,			A__      :	List[Any]							,			A__      :	List[Any] = None				)					-> List[str]:
						if not self.decode:
										raise RuntimeError("Decoding is disabled for this feature. Please use Audio(decode=True) instead."				)

						lowercase   ,							lowercase         = (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

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

										with xopen(_a							,			"rb"							,			use_auth_token=_a				) as f:
														lowercase   ,							lowercase         = sf.read(_a				)

						else:
										lowercase   ,							lowercase         = sf.read(_a				)

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

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




		def 				UpperCAmelCase__   (self      :	Any				)					-> Any:
						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      :	str							,			A__      :	str				)					-> str:
						if pa.types.is_string(storage.type				):
										lowercase         = pa.array([None] * len(_a				)							,			type=pa.binary()				)
										lowercase         = pa.StructArray.from_arrays([bytes_array, storage]							,			["bytes", "path"]							,			mask=storage.is_null()				)
						elif pa.types.is_binary(storage.type				):
										lowercase         = pa.array([None] * len(_a				)							,			type=pa.string()				)
										lowercase         = 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"				):
										lowercase         = pa.array([Audio().encode_example(_a				) 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:
														lowercase         = storage.field("bytes"				)
										else:
														lowercase         = pa.array([None] * len(_a				)							,			type=pa.binary()				)
										if storage.type.get_field_index("path"				) >= 0:
														lowercase         = storage.field("path"				)
										else:
														lowercase         = pa.array([None] * len(_a				)							,			type=pa.string()				)
										lowercase         = pa.StructArray.from_arrays([bytes_array, path_array]							,			["bytes", "path"]							,			mask=storage.is_null()				)
						return array_cast(_a							,			self.pa_type				)





		def 				UpperCAmelCase__   (self      :	Optional[int]							,			A__      :	Any				)					-> List[Any]:

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

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







'''simple docstring'''

from functools import lru_cache







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = 2
				lowercase         = set()
				while i * i <= n:
								if n % i:
												i += 1
								else:
												n //= i
												factors.add(lowerCAmelCase_							)
				if n > 1:
								factors.add(lowerCAmelCase_							)
				return factors







@lru_cache
def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return len(unique_prime_factors(lowerCAmelCase_							)							)







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return len(set(lowerCAmelCase_							)							) in (0, 1)







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = 2

				while True:
								# Increment each value of a generated range
								lowercase         = [base + i for i in range(lowerCAmelCase_							)]

								# Run elements through out unique_prime_factors function
								# Append our target number to the end.
								lowercase         = [upf_len(lowerCAmelCase_							) for x in group]
								checker.append(lowerCAmelCase_							)

								# If all numbers in the list are equal, return the group variable.
								if equality(lowerCAmelCase_							):
												return group

								# Increment our base variable by 1
								base += 1







def 							UpperCAmelCase_    (	lowerCAmelCase_ = 4							):

				"""simple docstring"""






				lowercase         = run(lowerCAmelCase_							)
				return results[0] if len(lowerCAmelCase_							) else None


if __name__ == "__main__":
			print(solution())




