






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__		:							Union[str, Any] 				=				False, False, False







@dataclass
class 				UpperCAmelCase_  :
     __lowerCamelCase      				=  None
     __lowerCamelCase      				=  True
     __lowerCamelCase      				=  True
     __lowerCamelCase      				=  None
     # Automatically constructed
     __lowerCamelCase      				=  "dict"
     __lowerCamelCase      				=  pa.struct({'bytes': pa.binary(), 'path': pa.string()}		)
     __lowerCamelCase      				=  field(default='Audio'							,      init=__lowerCamelCase							,      repr=__lowerCamelCase		)




     def __call__(				self		):
          return self.pa_type




     def   __UpperCAmelCase  (				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
               UpperCAmelCase__      :  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!)
                         UpperCAmelCase__      :  Dict				      =			np.frombuffer(value["""bytes"""]	,						dtype=np.intaa		).astype(np.floataa		) / 32767
                    else:
                         UpperCAmelCase__      :  Union[str, Any]				      =			np.memmap(value["""path"""]	,						dtype="""h"""	,						mode="""r"""		).astype(np.floataa		) / 32767

                    UpperCAmelCase__      :  Optional[int]				      =			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   __UpperCAmelCase  (				self	,						_lowerCAmelCase	,						_lowerCAmelCase = None		):
          if not self.decode:
               raise RuntimeError("""Decoding is disabled for this feature. Please use Audio(decode=True) instead."""		)

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

               with xopen(_lowerCAmelCase	,						"""rb"""	,						use_auth_token=_lowerCAmelCase		) as f:
                    UpperCAmelCase__      ,		UpperCAmelCase__      :  Union[str, Any]				      =			sf.read(_lowerCAmelCase		)

          else:
               UpperCAmelCase__      ,		UpperCAmelCase__      :  Optional[Any]				      =			sf.read(_lowerCAmelCase		)

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

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




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




     def   __UpperCAmelCase  (				self	,						_lowerCAmelCase		):

          @no_op_if_value_is_null
          def path_to_bytes(_lowerCAmelCase		):
               with xopen(_lowerCAmelCase	,						"""rb"""		) as f:
                    UpperCAmelCase__      :  List[Any]				      =			f.read()
               return bytes_

          UpperCAmelCase__      :  Union[str, Any]				      =			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__      :  Union[str, Any]				      =			pa.array(
              [os.path.basename(_lowerCAmelCase		) 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(_lowerCAmelCase	,						self.pa_type		)








__lowerCamelCase				=			"""Tobias Carryer"""

from time import time






class     UpperCAmelCase						:



   def __init__(self						:   Dict       ,		snake_case__						:   Optional[Any]       ,		snake_case__						:   Optional[Any]       ,		snake_case__						:   str       ,		snake_case__						:   Optional[int]=int(time()					)					)						->      List[Any]:  # noqa: B008


          '''simple docstring'''


          snake_case			:  Dict     							= multiplier
          snake_case			:  Dict     							= increment
          snake_case			:  Union[str, Any]     							= modulo
          snake_case			:  Tuple     							= seed



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[Any]					)						->      Any:


          '''simple docstring'''


          snake_case			:  Optional[int]     							= (self.multiplier * self.seed + self.increment) % self.modulo
          return self.seed


if __name__ == "__main__":
   # Show the LCG in action.
   __lowerCamelCase				=			LinearCongruentialGenerator(1_66_45_25, 10_13_90_42_23, 2 << 31)
   while True:
      print(lcg.next_number())





