






'''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


SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE								=	False, False, False
@dataclass
class UpperCAmelCase_					:




      """simple docstring"""




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






      def __call__( self			:		Optional[Any]		)  ->  Optional[Any]:


       '''simple docstring'''

       return self.pa_type






      def 				A__      ( self			:		Any     ,      UpperCAmelCase			:		Union[str, bytes, dict]		)  ->  dict:


       '''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
        lowercase					:   List[Any]				  =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!)
          lowercase					:   Union[str, Any]				  =np.frombuffer(value['''bytes''']     ,      dtype=np.intaa		).astype(np.floataa		) / 3_2767
         else:
          lowercase					:   List[Any]				  =np.memmap(value['''path''']     ,      dtype='''h'''     ,      mode='''r'''		).astype(np.floataa		) / 3_2767

         lowercase					:   List[str]				  =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 				A__      ( self			:		str     ,      UpperCAmelCase			:		dict     ,      UpperCAmelCase			:		Optional[Dict[str, Union[str, bool, None]]] = None		)  ->  dict:


       '''simple docstring'''

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

       lowercase					:   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

       lowercase					:   Optional[int]				  =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:
        lowercase					:   List[Any]				  =token_per_repo_id or {}
        lowercase					:   List[Any]				  =path.split('''::'''		)[-1]
        try:
         lowercase					:   Union[str, Any]				  =string_to_dict(UpperCAmelCase     ,      config.HUB_DATASETS_URL		)['''repo_id''']
         lowercase					:   List[Any]				  =token_per_repo_id[repo_id]
        except (ValueError, KeyError):
         lowercase					:   Any				  =None

        with xopen(UpperCAmelCase     ,      '''rb'''     ,      use_auth_token=UpperCAmelCase		) as f:
         lowercase					:   List[str]				  =sf.read(UpperCAmelCase		)

       else:
        lowercase					:   int				  =sf.read(UpperCAmelCase		)

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

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






      def 				A__      ( self			:		str		)  ->  Union["FeatureType", Dict[str, "FeatureType"]]:


       '''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 				A__      ( self			:		Optional[int]     ,      UpperCAmelCase			:		Union[pa.StringArray, pa.StructArray]		)  ->  pa.StructArray:


       '''simple docstring'''

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






      def 				A__      ( self			:		List[Any]     ,      UpperCAmelCase			:		pa.StructArray		)  ->  pa.StructArray:


       '''simple docstring'''

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

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











'''simple docstring'''



from __future__ import annotations

SCREAMING_SNAKE_CASE						=	8.988E9  # units = N * m^s * C^-2


def 							lowercase_				(    __A :       float					,      __A :       float					,      __A :       float					,      __A :       float			)       ->      dict[str, float]:



 """simple docstring"""




 lowercase					:   Dict				  =abs(chargea * chargea			)

 if (force, chargea, chargea, distance).count(0			) != 1:
  raise ValueError('''One and only one argument must be 0'''			)
 if distance < 0:
  raise ValueError('''Distance cannot be negative'''			)
 if force == 0:
  lowercase					:   Union[str, Any]				  =COULOMBS_CONSTANT * charge_product / (distance**2)
  return {"force": force}
 elif chargea == 0:
  lowercase					:   int				  =abs(__A			) * (distance**2) / (COULOMBS_CONSTANT * chargea)
  return {"charge1": chargea}
 elif chargea == 0:
  lowercase					:   int				  =abs(__A			) * (distance**2) / (COULOMBS_CONSTANT * chargea)
  return {"charge2": chargea}
 elif distance == 0:
  lowercase					:   Tuple				  =(COULOMBS_CONSTANT * charge_product / abs(__A			)) ** 0.5
  return {"distance": distance}
 raise ValueError('''Exactly one argument must be 0'''			)


if __name__ == "__main__":
      import doctest

      doctest.testmod()



