
"""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


_a       ,       _a       ,       _a		       =							False, False, False


@dataclass
class A_	:




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__			:						List[str]       =		None
  SCREAMING_SNAKE_CASE__			:						Optional[Any]       =		True
  SCREAMING_SNAKE_CASE__			:						Optional[int]       =		True
  SCREAMING_SNAKE_CASE__			:						Optional[Any]       =		None
  # Automatically constructed
  SCREAMING_SNAKE_CASE__			:						Union[str, Any]       =		"""dict"""
  SCREAMING_SNAKE_CASE__			:						Dict       =		pa.struct({"""bytes""": pa.binary(), """path""": pa.string()}      )
  SCREAMING_SNAKE_CASE__			:						Optional[Any]       =		field(default="""Audio"""				,init=__a				,repr=__a      )







  def __call__(		self  ):

     """simple docstring"""
     return self.pa_type







  def        UpperCamelCase__					(		self				,   lowercase_  ):

     """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
        UpperCAmelCase_					:					Optional[int]			     =    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!)
              UpperCAmelCase_					:					Dict			     =    np.frombuffer(value["bytes"]				,   dtype=np.intaa  ).astype(np.floataa  ) / 3_2767
           else:
              UpperCAmelCase_					:					List[str]			     =    np.memmap(value["path"]				,   dtype="h"				,   mode="r"  ).astype(np.floataa  ) / 3_2767

           UpperCAmelCase_					:					Any			     =    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        UpperCamelCase__					(		self				,   lowercase_				,   lowercase_ = None  ):

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

     UpperCAmelCase_     ,   UpperCAmelCase_					:					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

     UpperCAmelCase_					:					Any			     =    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:
        UpperCAmelCase_					:					List[str]			     =    token_per_repo_id or {}
        UpperCAmelCase_					:					Optional[Any]			     =    path.split("::"  )[-1]
        try:
           UpperCAmelCase_					:					List[Any]			     =    string_to_dict(_UpperCamelCase				,   config.HUB_DATASETS_URL  )["repo_id"]
           UpperCAmelCase_					:					Optional[Any]			     =    token_per_repo_id[repo_id]
        except (ValueError, KeyError):
           UpperCAmelCase_					:					str			     =    None

        with xopen(_UpperCamelCase				,   "rb"				,   use_auth_token=_UpperCamelCase  ) as f:
           UpperCAmelCase_     ,   UpperCAmelCase_					:					str			     =    sf.read(_UpperCamelCase  )

     else:
        UpperCAmelCase_     ,   UpperCAmelCase_					:					Tuple			     =    sf.read(_UpperCamelCase  )

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

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







  def        UpperCamelCase__					(		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        UpperCamelCase__					(		self				,   lowercase_  ):

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







  def        UpperCamelCase__					(		self				,   lowercase_  ):

     """simple docstring"""

     @no_op_if_value_is_null
     def path_to_bytes(lowercase_  ):
        with xopen(_UpperCamelCase				,   "rb"  ) as f:
           UpperCAmelCase_					:					Tuple			     =    f.read()
        return bytes_

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




import math






def    lowerCamelCase__				(				__lowerCAmelCase  :  int				):




			"""simple docstring"""


			lowerCAmelCase_						=	0
			lowerCAmelCase_						=	0
			while num > 0:
						lowerCAmelCase_						=	num % 8
						lowerCAmelCase_						=	octal + (remainder * math.floor(math.pow(10    ,							__lowerCAmelCase				)				))
						counter += 1
						lowerCAmelCase_						=	math.floor(num / 8				)  # basically /= 8 without remainder if any
						# This formatting removes trailing '.0' from `octal`.
			return F"""0o{int(__lowerCAmelCase				)}"""






def    lowerCamelCase__				(				):




			"""simple docstring"""


			print("\n2 in octal is:"				)
			print(decimal_to_octal(2				)				)  # = 2
			print("\n8 in octal is:"				)
			print(decimal_to_octal(8				)				)  # = 10
			print("\n65 in octal is:"				)
			print(decimal_to_octal(65				)				)  # = 101
			print("\n216 in octal is:"				)
			print(decimal_to_octal(216				)				)  # = 330
			print("\n512 in octal is:"				)
			print(decimal_to_octal(512				)				)  # = 1000
			print("\n"				)


if __name__ == "__main__":
			main()



