



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 			__lowerCAmelCase  :
 lowerCAmelCase__							       =	None
 lowerCAmelCase__							       =	True
 lowerCAmelCase__							       =	True
 lowerCAmelCase__							       =	None
 # Automatically constructed
 lowerCAmelCase__							       =	"dict"
 lowerCAmelCase__							       =	pa.struct({"""bytes""": pa.binary(), """path""": pa.string()} )
 lowerCAmelCase__							       =	field(default="""Audio"""	,						init=lowerCAmelCase__	,						repr=lowerCAmelCase__ )




 def __call__(    self					):



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




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''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 							lowerCamelCase   (    self						,					__UpperCAmelCase						,					__UpperCAmelCase = None					):



    '''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 							lowerCamelCase   (    self					):



    '''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 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''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 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''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					)











def 		a__      (		_UpperCamelCase      :			int				):
   __lowerCamelCase    				=     int(_UpperCamelCase				)
   if decimal in (0, 1):  # Exit cases for the recursion
      return str(_UpperCamelCase				)
   __lowerCamelCase				,__lowerCamelCase    				=     divmod(_UpperCamelCase			,2				)
   return binary_recursive(_UpperCamelCase				) + str(_UpperCamelCase				)





def 		a__      (		_UpperCamelCase      :			str				):
   __lowerCamelCase    				=     str(_UpperCamelCase				).strip()
   if not number:
      raise ValueError('''No input value was provided'''				)
   __lowerCamelCase    				=     '''-''' if number.startswith('''-'''				) else ''''''
   __lowerCamelCase    				=     number.lstrip('''-'''				)
   if not number.isnumeric():
      raise ValueError('''Input value is not an integer'''				)
   return F"""{negative}0b{binary_recursive(int(_UpperCamelCase				)				)}"""


if __name__ == "__main__":
  from doctest import testmod

  testmod()






