


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


UpperCAmelCase_      ,     UpperCAmelCase_      ,     UpperCAmelCase_   :				Optional[Any]						      = False, False, False
@dataclass
class 				SCREAMING_SNAKE_CASE__						:
      snake_case__       :  Optional[int]       =		None
      snake_case__       :  bool       =		True
      snake_case__       :  bool       =		True
      snake_case__       :  Optional[str]       =		None
      # Automatically constructed
      snake_case__       :  ClassVar[str]       =		"dict"
      snake_case__       :  ClassVar[Any]       =		pa.struct({'''bytes''': pa.binary(), '''path''': pa.string()}    )
      snake_case__       :  str       =		field(default='''Audio'''		,					init=lowercase__		,					repr=lowercase__    )
      def __call__( self       : str  )	->    Union[str, Any]:
             return self.pa_type
      def  SCREAMING_SNAKE_CASE							( self       : Optional[Any]  ,							SCREAMING_SNAKE_CASE__       : Union[str, bytes, dict]  )	->    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(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  ):
                    return {"bytes": None, "path": value}
             elif isinstance(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  ):
                    return {"bytes": value, "path": None}
             elif "array" in value:
                    # convert the audio array to wav bytes
                    a_      :	str							=						BytesIO()
                    sf.write(SCREAMING_SNAKE_CASE__  ,							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_      :	str							=						np.frombuffer(value['bytes']  ,							dtype=np.intaa  ).astype(np.floataa  ) / 3_2_7_6_7
                           else:
                                  a_      :	int							=						np.memmap(value['path']  ,							dtype='h'  ,							mode='r'  ).astype(np.floataa  ) / 3_2_7_6_7

                           a_      :	List[str]							=						BytesIO(bytes()  )
                           sf.write(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  ,							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  ,							SCREAMING_SNAKE_CASE__       : dict  ,							SCREAMING_SNAKE_CASE__       : Optional[Dict[str, Union[str, bool, None]]] = None  )	->    dict:
             if not self.decode:
                    raise RuntimeError('Decoding is disabled for this feature. Please use Audio(decode=True) instead.'  )

             a_							,	a_      :	List[str]							=						(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_      :	Tuple							=						xsplitext(SCREAMING_SNAKE_CASE__  )[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_      :	Dict							=						token_per_repo_id or {}
                    a_      :	Tuple							=						path.split('::'  )[-1]
                    try:
                           a_      :	List[Any]							=						string_to_dict(SCREAMING_SNAKE_CASE__  ,							config.HUB_DATASETS_URL  )['repo_id']
                           a_      :	Any							=						token_per_repo_id[repo_id]
                    except (ValueError, KeyError):
                           a_      :	Tuple							=						None

                    with xopen(SCREAMING_SNAKE_CASE__  ,							'rb'  ,							use_auth_token=SCREAMING_SNAKE_CASE__  ) as f:
                           a_							,	a_      :	int							=						sf.read(SCREAMING_SNAKE_CASE__  )

             else:
                    a_							,	a_      :	Any							=						sf.read(SCREAMING_SNAKE_CASE__  )

             a_      :	Tuple							=						array.T
             if self.mono:
                    a_      :	int							=						librosa.to_mono(SCREAMING_SNAKE_CASE__  )
             if self.sampling_rate and self.sampling_rate != sampling_rate:
                    a_      :	List[str]							=						librosa.resample(SCREAMING_SNAKE_CASE__  ,							orig_sr=SCREAMING_SNAKE_CASE__  ,							target_sr=self.sampling_rate  )
                    a_      :	str							=						self.sampling_rate

             return {"path": path, "array": array, "sampling_rate": sampling_rate}
      def  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  )	->    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  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  ,							SCREAMING_SNAKE_CASE__       : Union[pa.StringArray, pa.StructArray]  )	->    pa.StructArray:
             if pa.types.is_string(storage.type  ):
                    a_      :	List[Any]							=						pa.array([None] * len(SCREAMING_SNAKE_CASE__  )  ,							type=pa.binary()  )
                    a_      :	Union[str, Any]							=						pa.StructArray.from_arrays([bytes_array, storage]  ,							['bytes', 'path']  ,							mask=storage.is_null()  )
             elif pa.types.is_binary(storage.type  ):
                    a_      :	Optional[Any]							=						pa.array([None] * len(SCREAMING_SNAKE_CASE__  )  ,							type=pa.string()  )
                    a_      :	Optional[Any]							=						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_      :	Union[str, Any]							=						pa.array([Audio().encode_example(SCREAMING_SNAKE_CASE__  ) 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_      :	int							=						storage.field('bytes'  )
                    else:
                           a_      :	Optional[int]							=						pa.array([None] * len(SCREAMING_SNAKE_CASE__  )  ,							type=pa.binary()  )
                    if storage.type.get_field_index('path'  ) >= 0:
                           a_      :	Any							=						storage.field('path'  )
                    else:
                           a_      :	Tuple							=						pa.array([None] * len(SCREAMING_SNAKE_CASE__  )  ,							type=pa.string()  )
                    a_      :	List[Any]							=						pa.StructArray.from_arrays([bytes_array, path_array]  ,							['bytes', 'path']  ,							mask=storage.is_null()  )
             return array_cast(SCREAMING_SNAKE_CASE__  ,							self.pa_type  )

      def  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  ,							SCREAMING_SNAKE_CASE__       : pa.StructArray  )	->    pa.StructArray:

             @no_op_if_value_is_null
             def path_to_bytes(SCREAMING_SNAKE_CASE__       : str  ):
                    with xopen(SCREAMING_SNAKE_CASE__  ,							'rb'  ) as f:
                           a_      :	str							=						f.read()
                    return bytes_

             a_      :	int							=						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_      :	Tuple							=						pa.array(
                 [os.path.basename(SCREAMING_SNAKE_CASE__  ) if path is not None else None for path in storage.field('path'  ).to_pylist()]  ,							type=pa.string()  ,							)
             a_      :	List[str]							=						pa.StructArray.from_arrays([bytes_array, path_array]  ,							['bytes', 'path']  ,							mask=bytes_array.is_null()  )
             return array_cast(SCREAMING_SNAKE_CASE__  ,							self.pa_type  )






def  SCREAMING_SNAKE_CASE_		(    __A				:    str       )			->	list:

       """simple docstring"""

       return [
           txt[:a] + txt[a].upper() + txt[a + 1 :]
           for a in range(len(__A       )       )
           if txt[a].isalpha()
       ]


if __name__ == "__main__":
   __import__('doctest').testmod()


