





"""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


lowerCamelCase_					,					lowerCamelCase_					,					lowerCamelCase_     :						Union[str, Any]						=					False, False, False

@dataclass
class  _UpperCAmelCase  :



      '''simple docstring'''
      lowercase_      : Optional[int]	    =   None
      lowercase_      : bool	    =   True
      lowercase_      : bool	    =   True
      lowercase_      : Optional[str]	    =   None
      # Automatically constructed
      lowercase_      : ClassVar[str]	    =   "dict"
      lowercase_      : ClassVar[Any]	    =   pa.struct({"""bytes""": pa.binary(), """path""": pa.string()}		)
      lowercase_      : str	    =   field(default="""Audio"""			,   init=UpperCAmelCase__			,   repr=UpperCAmelCase__		)

      def __call__(     self  ):

        """simple docstring"""

        return self.pa_type

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """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(snake_case_					,      snake_case_  ):
          return {"bytes": None, "path": value}
        elif isinstance(snake_case_					,      snake_case_  ):
          return {"bytes": value, "path": None}
        elif "array" in value:
          # convert the audio array to wav bytes
          A_  :       Dict										=  BytesIO()
          sf.write(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_  :       Dict										=  np.frombuffer(value['bytes']					,      dtype=np.intaa  ).astype(np.floataa  ) / 3_2_7_6_7
            else:
              A_  :       List[str]										=  np.memmap(value['path']					,      dtype='h'					,      mode='r'  ).astype(np.floataa  ) / 3_2_7_6_7

            A_  :       Optional[int]										=  BytesIO(bytes()  )
            sf.write(snake_case_					,      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 					lowerCamelCase_			(     self					,      snake_case_					,      snake_case_ = None  ):

        """simple docstring"""

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

        A_						,       A_  :       Union[str, Any]										=  (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_  :       Dict										=  xsplitext(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_  :       int										=  token_per_repo_id or {}
          A_  :       Any										=  path.split('::'  )[-1]
          try:
            A_  :       Optional[int]										=  string_to_dict(snake_case_					,      config.HUB_DATASETS_URL  )['repo_id']
            A_  :       Optional[int]										=  token_per_repo_id[repo_id]
          except (ValueError, KeyError):
            A_  :       Optional[Any]										=  None

          with xopen(snake_case_					,      'rb'					,      use_auth_token=snake_case_  ) as f:
            A_						,       A_  :       str										=  sf.read(snake_case_  )

        else:
          A_						,       A_  :       str										=  sf.read(snake_case_  )

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

        """simple docstring"""

        if pa.types.is_string(storage.type  ):
          A_  :       Any										=  pa.array([None] * len(snake_case_  )					,      type=pa.binary()  )
          A_  :       List[Any]										=  pa.StructArray.from_arrays([bytes_array, storage]					,      ['bytes', 'path']					,      mask=storage.is_null()  )
        elif pa.types.is_binary(storage.type  ):
          A_  :       Optional[int]										=  pa.array([None] * len(snake_case_  )					,      type=pa.string()  )
          A_  :       List[str]										=  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_  :       Optional[Any]										=  pa.array([Audio().encode_example(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_  :       Dict										=  storage.field('bytes'  )
          else:
            A_  :       Union[str, Any]										=  pa.array([None] * len(snake_case_  )					,      type=pa.binary()  )
          if storage.type.get_field_index('path'  ) >= 0:
            A_  :       List[Any]										=  storage.field('path'  )
          else:
            A_  :       Optional[int]										=  pa.array([None] * len(snake_case_  )					,      type=pa.string()  )
          A_  :       Union[str, Any]										=  pa.StructArray.from_arrays([bytes_array, path_array]					,      ['bytes', 'path']					,      mask=storage.is_null()  )
        return array_cast(snake_case_					,      self.pa_type  )

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        @no_op_if_value_is_null
        def path_to_bytes(snake_case_  ):
          with xopen(snake_case_					,      'rb'  ) as f:
            A_  :       List[Any]										=  f.read()
          return bytes_

        A_  :       Optional[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_  :       str										=  pa.array(
            [os.path.basename(snake_case_  ) if path is not None else None for path in storage.field('path'  ).to_pylist()]					,      type=pa.string()					,      )
        A_  :       Union[str, Any]										=  pa.StructArray.from_arrays([bytes_array, path_array]					,      ['bytes', 'path']					,      mask=bytes_array.is_null()  )
        return array_cast(snake_case_					,      self.pa_type  )






"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


lowerCamelCase_     :						int						=					{}


try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase_     :						Tuple						=					['MLukeTokenizer']

if TYPE_CHECKING:
   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_mluke import MLukeTokenizer


else:
   import sys

   lowerCamelCase_     :						List[str]						=					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)