



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_:Optional[Any]					=						False, False, False






@dataclass
class SCREAMING_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		):
        return self.pa_type






    def       _lowerCAmelCase (	self,		lowerCamelCase__		):
        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(lowerCamelCase__,		lowerCamelCase__		):
            return {"bytes": None, "path": value}
        elif isinstance(lowerCamelCase__,		lowerCamelCase__		):
            return {"bytes": value, "path": None}
        elif "array" in value:
            # convert the audio array to wav bytes
            A			:	Union[str, Any]										=       BytesIO()
            sf.write(lowerCamelCase__,		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_2767
                else:
                    A			:	Optional[Any]										=       np.memmap(value["""path"""],		dtype="""h""",		mode="""r"""		).astype(np.floataa		) / 3_2767

                A			:	Optional[Any]										=       BytesIO(bytes()		)
                sf.write(lowerCamelCase__,		lowerCamelCase__,		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,		lowerCamelCase__,		lowerCamelCase__ = None		):
        if not self.decode:
            raise RuntimeError("""Decoding is disabled for this feature. Please use Audio(decode=True) instead."""		)

        A					,							A			:	int										=       (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			:	str										=       xsplitext(lowerCamelCase__		)[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			:	Union[str, Any]										=       token_per_repo_id or {}
            A			:	Optional[Any]										=       path.split("""::"""		)[-1]
            try:
                A			:	Any										=       string_to_dict(lowerCamelCase__,		config.HUB_DATASETS_URL		)["""repo_id"""]
                A			:	Optional[int]										=       token_per_repo_id[repo_id]
            except (ValueError, KeyError):
                A			:	Optional[int]										=       None

            with xopen(lowerCamelCase__,		"""rb""",		use_auth_token=lowerCamelCase__		) as f:
                A					,							A			:	Optional[int]										=       sf.read(lowerCamelCase__		)

        else:
            A					,							A			:	Dict										=       sf.read(lowerCamelCase__		)

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

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






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






    def       _lowerCAmelCase (	self,		lowerCamelCase__		):

        @no_op_if_value_is_null
        def path_to_bytes(lowerCamelCase__		):
            with xopen(lowerCamelCase__,		"""rb"""		) as f:
                A			:	Union[str, Any]										=       f.read()
            return bytes_

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







import socket




def      __UpperCamelCase     (  )	->  Optional[int]:



    """simple docstring"""






    A			:	str										=       socket.socket(socket.AF_INET				,					socket.SOCK_STREAM		)
    A			:	Union[str, Any]										=       socket.gethostname()
    A			:	Dict										=       1_2312

    sock.connect((host, port)		)
    sock.send(B"""Hello server!"""		)

    with open("""Received_file"""				,					"""wb"""		) as out_file:
        print("""File opened"""		)
        print("""Receiving data..."""		)
        while True:
            A			:	Optional[int]										=       sock.recv(1024		)
            if not data:
                break
            out_file.write(_lowerCAmelCase		)

    print("""Successfully received the file"""		)
    sock.close()
    print("""Connection closed"""		)


if __name__ == "__main__":
     main()


