




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													=			False, False, False




@dataclass
class       _A				:
		__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=__lowercase       ,     repr=__lowercase     )






		def __call__(    self			):
								return self.pa_type






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE			):
								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(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE			):
														return {"bytes": None, "path": value}
								elif isinstance(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE			):
														return {"bytes": value, "path": None}
								elif "array" in value:
														# convert the audio array to wav bytes
														_UpperCAmelCase      =			BytesIO()
														sf.write(_SCREAMING_SNAKE_CASE						,		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      =			np.frombuffer(value["""bytes"""]						,		dtype=np.intaa			).astype(np.floataa			) / 3_2767
																				else:
																										_UpperCAmelCase      =			np.memmap(value["""path"""]						,		dtype="""h"""						,		mode="""r"""			).astype(np.floataa			) / 3_2767

																				_UpperCAmelCase      =			BytesIO(bytes()			)
																				sf.write(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						,		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						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE = None			):
								if not self.decode:
														raise RuntimeError("""Decoding is disabled for this feature. Please use Audio(decode=True) instead."""			)

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

														with xopen(_SCREAMING_SNAKE_CASE						,		"""rb"""						,		use_auth_token=_SCREAMING_SNAKE_CASE			) as f:
																				_UpperCAmelCase    ,					_UpperCAmelCase      =			sf.read(_SCREAMING_SNAKE_CASE			)

								else:
														_UpperCAmelCase    ,					_UpperCAmelCase      =			sf.read(_SCREAMING_SNAKE_CASE			)

								_UpperCAmelCase      =			array.T
								if self.mono:
														_UpperCAmelCase      =			librosa.to_mono(_SCREAMING_SNAKE_CASE			)
								if self.sampling_rate and self.sampling_rate != sampling_rate:
														_UpperCAmelCase      =			librosa.resample(_SCREAMING_SNAKE_CASE						,		orig_sr=_SCREAMING_SNAKE_CASE						,		target_sr=self.sampling_rate			)
														_UpperCAmelCase      =			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						,		_SCREAMING_SNAKE_CASE			):
								if pa.types.is_string(storage.type			):
														_UpperCAmelCase      =			pa.array([None] * len(_SCREAMING_SNAKE_CASE			)						,		type=pa.binary()			)
														_UpperCAmelCase      =			pa.StructArray.from_arrays([bytes_array, storage]						,		["""bytes""", """path"""]						,		mask=storage.is_null()			)
								elif pa.types.is_binary(storage.type			):
														_UpperCAmelCase      =			pa.array([None] * len(_SCREAMING_SNAKE_CASE			)						,		type=pa.string()			)
														_UpperCAmelCase      =			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      =			pa.array([Audio().encode_example(_SCREAMING_SNAKE_CASE			) 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      =			storage.field("""bytes"""			)
														else:
																				_UpperCAmelCase      =			pa.array([None] * len(_SCREAMING_SNAKE_CASE			)						,		type=pa.binary()			)
														if storage.type.get_field_index("""path"""			) >= 0:
																				_UpperCAmelCase      =			storage.field("""path"""			)
														else:
																				_UpperCAmelCase      =			pa.array([None] * len(_SCREAMING_SNAKE_CASE			)						,		type=pa.string()			)
														_UpperCAmelCase      =			pa.StructArray.from_arrays([bytes_array, path_array]						,		["""bytes""", """path"""]						,		mask=storage.is_null()			)
								return array_cast(_SCREAMING_SNAKE_CASE						,		self.pa_type			)






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE			):

								@no_op_if_value_is_null
								def path_to_bytes(_SCREAMING_SNAKE_CASE			):
														with xopen(_SCREAMING_SNAKE_CASE						,		"""rb"""			) as f:
																				_UpperCAmelCase      =			f.read()
														return bytes_

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





from __future__ import annotations




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				list[int]:
						if len(snake_case       ) == 0:
												return array

						_UpperCAmelCase    ,					_UpperCAmelCase      =			min(snake_case       ), max(snake_case       )

						# Compute the variables
						_UpperCAmelCase      =			_max - _min + 1
						_UpperCAmelCase    ,					_UpperCAmelCase      =			[0] * holes_range, [0] * holes_range

						# Make the sorting.
						for i in array:
												_UpperCAmelCase      =			i - _min
												_UpperCAmelCase      =			i
												holes_repeat[index] += 1

						# Makes the array back by replacing the numbers.
						_UpperCAmelCase      =			0
						for i in range(snake_case       ):
												while holes_repeat[i] > 0:
																		_UpperCAmelCase      =			holes[i]
																		index += 1
																		holes_repeat[i] -= 1

    # Returns the sorted array.
						return array


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				a													=			input("Enter numbers separated by comma:\n")
				a													=			[int(x) for x in user_input.split(",")]
				print(pigeon_sort(unsorted))