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


__lowercase ,       __lowercase ,       __lowercase							 =					False, False, False


@dataclass
class 	lowerCamelCase_     :






    '''simple docstring'''






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







    def __call__(	self)       ->	Any:
        return self.pa_type







    def 			UpperCamelCase__   (	self , __lowercase)       ->	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(__lowercase , __lowercase):
            return {"bytes": None, "path": value}
        elif isinstance(__lowercase , __lowercase):
            return {"bytes": value, "path": None}
        elif "array" in value:
            # convert the audio array to wav bytes
            __UpperCamelCase     :int			  =		BytesIO()
            sf.write(__lowercase , 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     :Optional[Any]			  =		np.frombuffer(value['''bytes'''] , dtype=np.intaa).astype(np.floataa) / 32_767
                else:
                    __UpperCamelCase     :Union[str, Any]			  =		np.memmap(value['''path'''] , dtype='''h''' , mode='''r''').astype(np.floataa) / 32_767

                __UpperCamelCase     :Tuple			  =		BytesIO(bytes())
                sf.write(__lowercase , __lowercase , 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)       ->	dict:
        if not self.decode:
            raise RuntimeError('''Decoding is disabled for this feature. Please use Audio(decode=True) instead.''')

        __UpperCamelCase  ,       __UpperCamelCase     :List[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

        __UpperCamelCase     :Dict			  =		xsplitext(__lowercase)[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     :Any			  =		token_per_repo_id or {}
            __UpperCamelCase     :Any			  =		path.split('''::''')[-1]
            try:
                __UpperCamelCase     :Optional[Any]			  =		string_to_dict(__lowercase , config.HUB_DATASETS_URL)['''repo_id''']
                __UpperCamelCase     :Tuple			  =		token_per_repo_id[repo_id]
            except (ValueError, KeyError):
                __UpperCamelCase     :str			  =		None

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

        else:
            __UpperCamelCase  ,       __UpperCamelCase     :Union[str, Any]			  =		sf.read(__lowercase)

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

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







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







    def 			UpperCamelCase__   (	self , __lowercase)       ->	pa.StructArray:

        @no_op_if_value_is_null
        def path_to_bytes(__lowercase):
            with xopen(__lowercase , '''rb''') as f:
                __UpperCamelCase     :Any			  =		f.read()
            return bytes_

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






from __future__ import annotations

from PIL import Image

# Define glider example
__lowercase							 =					[
    [0, 1, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0, 0],
    [1, 1, 1, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
]

# Define blinker example
__lowercase							 =					[[0, 1, 0], [0, 1, 0], [0, 1, 0]]



def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :int			  =		[]
    for i in range(len(SCREAMING_SNAKE_CASE	)	):
        __UpperCamelCase     :Dict			  =		[]
        for j in range(len(cells[i]	)	):
            # Get the number of live neighbours
            __UpperCamelCase     :List[str]			  =		0
            if i > 0 and j > 0:
                neighbour_count += cells[i - 1][j - 1]
            if i > 0:
                neighbour_count += cells[i - 1][j]
            if i > 0 and j < len(cells[i]	) - 1:
                neighbour_count += cells[i - 1][j + 1]
            if j > 0:
                neighbour_count += cells[i][j - 1]
            if j < len(cells[i]	) - 1:
                neighbour_count += cells[i][j + 1]
            if i < len(SCREAMING_SNAKE_CASE	) - 1 and j > 0:
                neighbour_count += cells[i + 1][j - 1]
            if i < len(SCREAMING_SNAKE_CASE	) - 1:
                neighbour_count += cells[i + 1][j]
            if i < len(SCREAMING_SNAKE_CASE	) - 1 and j < len(cells[i]	) - 1:
                neighbour_count += cells[i + 1][j + 1]

            # Rules of the game of life (excerpt from Wikipedia):
            # 1. Any live cell with two or three live neighbours survives.
            # 2. Any dead cell with three live neighbours becomes a live cell.
            # 3. All other live cells die in the next generation.
            #    Similarly, all other dead cells stay dead.
            __UpperCamelCase     :List[str]			  =		cells[i][j] == 1
            if (
                (alive and 2 <= neighbour_count <= 3)
                or not alive
                and neighbour_count == 3
            ):
                next_generation_row.append(1	)
            else:
                next_generation_row.append(0	)

        next_generation.append(SCREAMING_SNAKE_CASE	)
    return next_generation



def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Optional[Any]			  =		[]
    for _ in range(SCREAMING_SNAKE_CASE	):
        # Create output image
        __UpperCamelCase     :Dict			  =		Image.new('''RGB'''  ,			(len(cells[0]	), len(SCREAMING_SNAKE_CASE	))	)
        __UpperCamelCase     :Any			  =		img.load()

        # Save cells to image
        for x in range(len(SCREAMING_SNAKE_CASE	)	):
            for y in range(len(cells[0]	)	):
                __UpperCamelCase     :Optional[Any]			  =		255 - cells[y][x] * 255
                __UpperCamelCase     :int			  =		(colour, colour, colour)

        # Save image
        images.append(SCREAMING_SNAKE_CASE	)
        __UpperCamelCase     :Optional[int]			  =		new_generation(SCREAMING_SNAKE_CASE	)
    return images


if __name__ == "__main__":
    __lowercase							 =					generate_images(GLIDER, 16)
    images[0].save('''out.gif''', save_all=True, append_images=images[1:])





