


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:						str   				=       False, False, False




@dataclass
class       lowercase_					:
				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=__UpperCAmelCase      ,					repr=__UpperCAmelCase   )





				def __call__(				self)  -> Any:
											return self.pa_type





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> 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
																		a__      =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!)
																																a__      =np.frombuffer(value['bytes']       ,  dtype=np.intaa).astype(np.floataa) / 32767
																									else:
																																a__      =np.memmap(value['path']       ,  dtype='h'       ,  mode='r').astype(np.floataa) / 32767

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

											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(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:
																		a__      =token_per_repo_id or {}
																		a__      =path.split('::')[-1]
																		try:
																									a__      =string_to_dict(lowerCAmelCase_       ,  config.HUB_DATASETS_URL)['repo_id']
																									a__      =token_per_repo_id[repo_id]
																		except (ValueError, KeyError):
																									a__      =None

																		with xopen(lowerCAmelCase_       ,  'rb'       ,  use_auth_token=lowerCAmelCase_) as f:
																									a__      =sf.read(lowerCAmelCase_)

											else:
																		a__      =sf.read(lowerCAmelCase_)

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

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





				def 						__UpperCamelCase    (				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 						__UpperCamelCase    (				self       ,  lowercase_)  -> pa.StructArray:
											if pa.types.is_string(storage.type):
																		a__      =pa.array([None] * len(lowerCAmelCase_)       ,  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(lowerCAmelCase_)       ,  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(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:
																									a__      =storage.field('bytes')
																		else:
																									a__      =pa.array([None] * len(lowerCAmelCase_)       ,  type=pa.binary())
																		if storage.type.get_field_index('path') >= 0:
																									a__      =storage.field('path')
																		else:
																									a__      =pa.array([None] * len(lowerCAmelCase_)       ,  type=pa.string())
																		a__      =pa.StructArray.from_arrays([bytes_array, path_array]       ,  ['bytes', 'path']       ,  mask=storage.is_null())
											return array_cast(lowerCAmelCase_       ,  self.pa_type)





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> pa.StructArray:

											@no_op_if_value_is_null
											def path_to_bytes(lowercase_):
																		with xopen(lowerCAmelCase_       ,  '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(lowerCAmelCase_) 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(lowerCAmelCase_       ,  self.pa_type)









"""simple docstring"""
def 				lowercase__		(					lowerCamelCase,						lowerCamelCase       ):
				return abs(lowerCamelCase       ) if a == 0 else greatest_common_divisor(b % a,						lowerCamelCase       )





def 				lowercase__		(					lowerCamelCase,						lowerCamelCase       ):
				while y:  # --> when y=0 then loop will terminate and return x as final GCD.
								_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    y, x % y
				return abs(lowerCamelCase       )





def 				lowercase__		(					):
				try:
								_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    input('Enter two integers separated by comma (,): '       ).split(','       )
								_SCREAMING_SNAKE_CASE   :		Dict       		=    int(nums[0]       )
								_SCREAMING_SNAKE_CASE   :		Dict       		=    int(nums[1]       )
								print(
								    f"""greatest_common_divisor({num_a}, {num_a}) = """
								    f"""{greatest_common_divisor(lowerCamelCase,						lowerCamelCase       )}"""       )
								print(f"""By iterative gcd({num_a}, {num_a}) = {gcd_by_iterative(lowerCamelCase,						lowerCamelCase       )}"""       )
				except (IndexError, UnboundLocalError, ValueError):
								print('Wrong input'       )


if __name__ == "__main__":
			main()

