


"""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


UpperCAmelCase						, UpperCAmelCase						, UpperCAmelCase    :     str   						=		False, False, False





@dataclass
class      lowerCamelCase__   :







					"""simple docstring"""


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






					def __call__(       self    : Tuple  ):
												'''simple docstring'''






												return self.pa_type






					def lowerCamelCase__							(       self    : int ,       UpperCamelCase    : Union[str, bytes, 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
																			__UpperCAmelCase   :						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!)
																																	__UpperCAmelCase   :						Optional[int]      							=					np.frombuffer(value["""bytes"""] ,       dtype=np.intaa  ).astype(np.floataa  ) / 32_767
																										else:
																																	__UpperCAmelCase   :						str      							=					np.memmap(value["""path"""] ,       dtype="""h""" ,       mode="""r"""  ).astype(np.floataa  ) / 32_767

																										__UpperCAmelCase   :						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 lowerCamelCase__							(       self    : List[str] ,       UpperCamelCase    : dict ,       UpperCamelCase    : Optional[Dict[str, Union[str, bool, None]]] = None  ):
												'''simple docstring'''






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

												__UpperCAmelCase							,__UpperCAmelCase   :						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   :						Tuple      							=					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:
																			__UpperCAmelCase   :						str      							=					token_per_repo_id or {}
																			__UpperCAmelCase   :						List[Any]      							=					path.split("""::"""  )[-1]
																			try:
																										__UpperCAmelCase   :						Union[str, Any]      							=					string_to_dict(UpperCamelCase ,       config.HUB_DATASETS_URL  )["""repo_id"""]
																										__UpperCAmelCase   :						Any      							=					token_per_repo_id[repo_id]
																			except (ValueError, KeyError):
																										__UpperCAmelCase   :						int      							=					None

																			with xopen(UpperCamelCase ,       """rb""" ,       use_auth_token=UpperCamelCase  ) as f:
																										__UpperCAmelCase							,__UpperCAmelCase   :						List[Any]      							=					sf.read(UpperCamelCase  )

												else:
																			__UpperCAmelCase							,__UpperCAmelCase   :						List[str]      							=					sf.read(UpperCamelCase  )

												__UpperCAmelCase   :						int      							=					array.T
												if self.mono:
																			__UpperCAmelCase   :						Any      							=					librosa.to_mono(UpperCamelCase  )
												if self.sampling_rate and self.sampling_rate != sampling_rate:
																			__UpperCAmelCase   :						Dict      							=					librosa.resample(UpperCamelCase ,       orig_sr=UpperCamelCase ,       target_sr=self.sampling_rate  )
																			__UpperCAmelCase   :						Union[str, Any]      							=					self.sampling_rate

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






					def lowerCamelCase__							(       self    : List[Any]  ):
												'''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 lowerCamelCase__							(       self    : Optional[Any] ,       UpperCamelCase    : Union[pa.StringArray, pa.StructArray]  ):
												'''simple docstring'''






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






					def lowerCamelCase__							(       self    : Tuple ,       UpperCamelCase    : pa.StructArray  ):
												'''simple docstring'''






												@no_op_if_value_is_null
												def path_to_bytes(UpperCamelCase    : Any  ):
																			with xopen(UpperCamelCase ,       """rb"""  ) as f:
																										__UpperCAmelCase   :						Any      							=					f.read()
																			return bytes_

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




"""simple docstring"""






def      lowerCamelCase       (     _UpperCamelCase		:      int = 4_0_0_0_0_0_0							)		->       int:

							'''simple docstring'''



							__UpperCAmelCase   :						int      							=					[0, 1]
							__UpperCAmelCase   :						Optional[Any]      							=					0
							while fib[i] <= n:
														fib.append(fib[i] + fib[i + 1]							)
														if fib[i + 2] > n:
																					break
														i += 1
							__UpperCAmelCase   :						str      							=					0
							for j in range(len(_UpperCamelCase							) - 1							):
														if fib[j] % 2 == 0:
																					total += fib[j]

							return total


if __name__ == "__main__":
							print(F"{solution() = }")
