"""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


UpperCAmelCase__		,   UpperCAmelCase__		,   UpperCAmelCase__  		=						False, False, False


@dataclass
class        a				:
    _snake_case     :  Union[str, Any]     							=							None
    _snake_case     :  List[Any]     							=							True
    _snake_case     :  Any     							=							True
    _snake_case     :  Union[str, Any]     							=							None
    # Automatically constructed
    _snake_case     :  Any     							=							'dict'
    _snake_case     :  Tuple     							=							pa.struct({'bytes': pa.binary(), 'path': pa.string()}   )
    _snake_case     :  Optional[Any]     							=							field(default='Audio'	,							init=_snake_case	,							repr=_snake_case   )


    def __call__(					self	:  List[str]					):
      return self.pa_type


    def      lowerCAmelCase_  (					self	:  str   ,				__lowerCAmelCase	:  Union[str, bytes, 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
        _UpperCAmelCase						 =      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!)
            _UpperCAmelCase						 =      np.frombuffer(value["""bytes"""]   ,				dtype=np.intaa					).astype(np.floataa					) / 3_2767
          else:
            _UpperCAmelCase						 =      np.memmap(value["""path"""]   ,				dtype="""h"""   ,				mode="""r"""					).astype(np.floataa					) / 3_2767

          _UpperCAmelCase						 =      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      lowerCAmelCase_  (					self	:  Any   ,				__lowerCAmelCase	:  dict   ,				__lowerCAmelCase	:  Optional[Dict[str, Union[str, bool, None]]] = None					):
      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(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:
        _UpperCAmelCase						 =      token_per_repo_id or {}
        _UpperCAmelCase						 =      path.split("""::"""					)[-1]
        try:
          _UpperCAmelCase						 =      string_to_dict(lowerCAmelCase__   ,				config.HUB_DATASETS_URL					)["""repo_id"""]
          _UpperCAmelCase						 =      token_per_repo_id[repo_id]
        except (ValueError, KeyError):
          _UpperCAmelCase						 =      None

        with xopen(lowerCAmelCase__   ,				"""rb"""   ,				use_auth_token=lowerCAmelCase__					) as f:
          _UpperCAmelCase ,				_UpperCAmelCase						 =      sf.read(lowerCAmelCase__					)

      else:
        _UpperCAmelCase ,				_UpperCAmelCase						 =      sf.read(lowerCAmelCase__					)

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

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


    def      lowerCAmelCase_  (					self	:  Any					):
      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	:  Dict   ,				__lowerCAmelCase	:  Union[pa.StringArray, pa.StructArray]					):
      if pa.types.is_string(storage.type					):
        _UpperCAmelCase						 =      pa.array([None] * len(lowerCAmelCase__					)   ,				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(lowerCAmelCase__					)   ,				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(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:
          _UpperCAmelCase						 =      storage.field("""bytes"""					)
        else:
          _UpperCAmelCase						 =      pa.array([None] * len(lowerCAmelCase__					)   ,				type=pa.binary()					)
        if storage.type.get_field_index("""path"""					) >= 0:
          _UpperCAmelCase						 =      storage.field("""path"""					)
        else:
          _UpperCAmelCase						 =      pa.array([None] * len(lowerCAmelCase__					)   ,				type=pa.string()					)
        _UpperCAmelCase						 =      pa.StructArray.from_arrays([bytes_array, path_array]   ,				["""bytes""", """path"""]   ,				mask=storage.is_null()					)
      return array_cast(lowerCAmelCase__   ,				self.pa_type					)


    def      lowerCAmelCase_  (					self	:  Dict   ,				__lowerCAmelCase	:  pa.StructArray					):

      @no_op_if_value_is_null
      def path_to_bytes(__lowerCAmelCase	:  List[Any]					):
        with xopen(lowerCAmelCase__   ,				"""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(lowerCAmelCase__					) 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(lowerCAmelCase__   ,				self.pa_type					)

"""simple docstring"""


from abc import ABC, abstractmethod
from argparse import ArgumentParser


class        a				(		lowerCAmelCase_   ):


    @staticmethod
    @abstractmethod
    def      lowerCAmelCase_  (					__lowerCAmelCase	:  ArgumentParser					):
      raise NotImplementedError()


    @abstractmethod
    def      lowerCAmelCase_  (					self	:  int					):
      raise NotImplementedError()
