
"""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


_a							,							_a							,							_a														=		False, False, False






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



		def __call__(					self)       ->       Tuple:






							'''simple docstring'''
							return self.pa_type



		def 						UpperCAmelCase							(					self				,		__a)       ->       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(__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
												_UpperCamelCase							 =  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!)
																						_UpperCamelCase							 =  np.frombuffer(value['''bytes''']				,		dtype=np.intaa).astype(np.floataa) / 3_27_67
																	else:
																						_UpperCamelCase							 =  np.memmap(value['''path''']				,		dtype='''h'''				,		mode='''r''').astype(np.floataa) / 3_27_67

																	_UpperCamelCase							 =  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				,		__a				,		__a = None)       ->       dict:






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

							_UpperCamelCase ,  _UpperCamelCase							 =  (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

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

												with xopen(__a				,		'''rb'''				,		use_auth_token=__a) as f:
																	_UpperCamelCase ,  _UpperCamelCase							 =  sf.read(__a)

							else:
												_UpperCamelCase ,  _UpperCamelCase							 =  sf.read(__a)

							_UpperCamelCase							 =  array.T
							if self.mono:
												_UpperCamelCase							 =  librosa.to_mono(__a)
							if self.sampling_rate and self.sampling_rate != sampling_rate:
												_UpperCamelCase							 =  librosa.resample(__a				,		orig_sr=__a				,		target_sr=self.sampling_rate)
												_UpperCamelCase							 =  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				,		__a)       ->       pa.StructArray:






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




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






							'''simple docstring'''

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

							_UpperCamelCase							 =  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()				,		)
							_UpperCamelCase							 =  pa.array(
							    [os.path.basename(__a) if path is not None else None for path in storage.field('''path''').to_pylist()]				,		type=pa.string()				,		)
							_UpperCamelCase							 =  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 __future__ import annotations



def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		float:


					"""simple docstring"""





					_UpperCamelCase							 =  sorted(numsa + numsa	)
					_UpperCamelCase ,  _UpperCamelCase							 =  divmod(len(__snake_case	),     2	)
					if mod == 1:
										return all_numbers[div]
					else:
										return (all_numbers[div] + all_numbers[div - 1]) / 2


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				_a														=		[float(x) for x in input("""Enter the elements of first array: """).split()]
				_a														=		[float(x) for x in input("""Enter the elements of second array: """).split()]
				print(F"""The median of two arrays is: {median_of_two_arrays(array_a, array_a)}""")






