





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


lowercase_     ,							lowercase_     ,							lowercase_					     =	False, False, False
@dataclass
class        SCREAMING_SNAKE_CASE     :
   _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=UpperCAmelCase    ,			repr=UpperCAmelCase   )


   def __call__(					self    :       Tuple )->     List[Any]:





     """simple docstring"""







     return self.pa_type


   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  a    :       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(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 ) / 32_767
         else:
           lowercase__			    =						np.memmap(value['path']    ,  dtype='h'    ,  mode='r' ).astype(np.floataa ) / 32_767

         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  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  a    :       dict    ,  a    :       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.' )

     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  SCREAMING_SNAKE_CASE_							(					self    :       int )->     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  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  a    :       Union[pa.StringArray, pa.StructArray] )->     pa.StructArray:





     """simple docstring"""







     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  SCREAMING_SNAKE_CASE_							(					self    :       Any    ,  a    :       pa.StructArray )->     pa.StructArray:





     """simple docstring"""







     @no_op_if_value_is_null
     def path_to_bytes(a    :       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 )









def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     List[Any]:
  stooge(_SCREAMING_SNAKE_CASE	,		0	,		len(_SCREAMING_SNAKE_CASE	) - 1	)
  return arr




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     int:
  if i >= h:
    return

  # If first element is smaller than the last then swap them
  if arr[i] > arr[h]:
    lowercase__    ,					lowercase__			    =						arr[h], arr[i]

  # If there are more than 2 elements in the array
  if h - i + 1 > 2:
    lowercase__			    =						(int)((h - i + 1) / 3	)

    # Recursively sort first 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		(h - t)	)

    # Recursively sort last 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		i + t	,		(_SCREAMING_SNAKE_CASE)	)

    # Recursively sort first 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		(h - t)	)


if __name__ == "__main__":
      lowercase_					     =	input("""Enter numbers separated by a comma:\n""").strip()
      lowercase_					     =	[int(item) for item in user_input.split(""",""")]
      print(stooge_sort(unsorted))


