





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					:				Tuple				=			False, False, False



@dataclass
class 					__snake_case	:


    '''simple docstring'''







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



    def __call__(       self     ):





        '''simple docstring'''

        return self.pa_type



    def  lowercase_					(       self   ,				A_     ):





        '''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(A_   ,				A_     ):
            return {"bytes": None, "path": value}
        elif isinstance(A_   ,				A_     ):
            return {"bytes": value, "path": None}
        elif "array" in value:
            # convert the audio array to wav bytes
            SCREAMING_SNAKE_CASE__											=			BytesIO()
            sf.write(A_   ,				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!)
                    SCREAMING_SNAKE_CASE__											=			np.frombuffer(value['''bytes''']   ,				dtype=np.intaa     ).astype(np.floataa     ) / 3_27_67
                else:
                    SCREAMING_SNAKE_CASE__											=			np.memmap(value['''path''']   ,				dtype='''h'''   ,				mode='''r'''     ).astype(np.floataa     ) / 3_27_67

                SCREAMING_SNAKE_CASE__											=			BytesIO(bytes()     )
                sf.write(A_   ,				A_   ,				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  lowercase_					(       self   ,				A_   ,				A_ = None     ):





        '''simple docstring'''

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

        SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__											=			(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

        SCREAMING_SNAKE_CASE__											=			xsplitext(A_     )[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:
            SCREAMING_SNAKE_CASE__											=			token_per_repo_id or {}
            SCREAMING_SNAKE_CASE__											=			path.split('''::'''     )[-1]
            try:
                SCREAMING_SNAKE_CASE__											=			string_to_dict(A_   ,				config.HUB_DATASETS_URL     )['''repo_id''']
                SCREAMING_SNAKE_CASE__											=			token_per_repo_id[repo_id]
            except (ValueError, KeyError):
                SCREAMING_SNAKE_CASE__											=			None

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

        else:
            SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__											=			sf.read(A_     )

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

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



    def  lowercase_					(       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  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

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




    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

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

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







class 					__snake_case	:


    '''simple docstring'''







    def __init__(       self   ,				A_   ,				A_   ,				A_     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			name
        SCREAMING_SNAKE_CASE__											=			value
        SCREAMING_SNAKE_CASE__											=			weight



    def __repr__(       self     ):





        '''simple docstring'''

        return f'''{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'''



    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.value



    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.name



    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.weight




    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.value / self.weight





def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Any:
    SCREAMING_SNAKE_CASE__											=			[]
    for i in range(len(lowerCAmelCase_	)	):
        menu.append(Things(name[i] ,							value[i] ,							weight[i]	)	)
    return menu


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Dict:
    SCREAMING_SNAKE_CASE__											=			sorted(lowerCAmelCase_ ,							key=lowerCAmelCase_ ,							reverse=lowerCAmelCase_	)
    SCREAMING_SNAKE_CASE__											=			[]
    SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__											=			0.0, 0.0
    for i in range(len(lowerCAmelCase_	)	):
        if (total_cost + items_copy[i].get_weight()) <= max_cost:
            result.append(items_copy[i]	)
            total_cost += items_copy[i].get_weight()
            total_value += items_copy[i].get_value()
    return (result, total_value)


def 							__snake_case							(    )				->						str:
    pass


if __name__ == "__main__":
  import doctest

  doctest.testmod()
