"""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


SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE									=						False, False, False






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







				def __call__( self    :       Dict						):

					"""simple docstring"""






					return self.pa_type







				def 							__UpperCAmelCase					( self    :       Optional[int]			,					lowerCamelCase_    :       int						):

					"""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(A__			,					A__						):
						return {"bytes": None, "path": value}
					elif isinstance(A__			,					A__						):
						return {"bytes": value, "path": None}
					elif "array" in value:
						# convert the audio array to wav bytes
						_lowercase :    List[Any]							=							BytesIO()
						sf.write(A__			,					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!)
								_lowercase :    List[str]							=							np.frombuffer(value['bytes']			,					dtype=np.intaa						).astype(np.floataa						) / 3_2_7_6_7
							else:
								_lowercase :    Union[str, Any]							=							np.memmap(value['path']			,					dtype='h'			,					mode='r'						).astype(np.floataa						) / 3_2_7_6_7

							_lowercase :    List[str]							=							BytesIO(bytes()						)
							sf.write(A__			,					A__			,					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    :       Dict			,					lowerCamelCase_    :       Any			,					lowerCamelCase_    :       Dict = None						):

					"""simple docstring"""






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

					_lowercase				,      _lowercase :    List[str]							=							(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

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

						with xopen(A__			,					'rb'			,					use_auth_token=A__						) as f:
							_lowercase				,      _lowercase :    List[Any]							=							sf.read(A__						)

					else:
						_lowercase				,      _lowercase :    Any							=							sf.read(A__						)

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

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







				def 							__UpperCAmelCase					( self    :       str						):

					"""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 							__UpperCAmelCase					( self    :       List[Any]			,					lowerCamelCase_    :       Optional[Any]						):

					"""simple docstring"""






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







				def 							__UpperCAmelCase					( self    :       Optional[int]			,					lowerCamelCase_    :       Any						):

					"""simple docstring"""






					@no_op_if_value_is_null
					def path_to_bytes(lowerCamelCase_    :       int						):
						with xopen(A__			,					'rb'						) as f:
							_lowercase :    int							=							f.read()
						return bytes_

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




"""simple docstring"""







from __future__ import annotations



class  _lowerCamelCase			:







				def __init__( self    :       Any			,					lowerCamelCase_    :       list[list[int]]						):

					"""simple docstring"""






					_lowercase :    Tuple							=							TypeError(
					    'Matrices must be formed from a list of zero or more lists containing at '
					    'least one and the same number of values, each of which must be of type '
					    'int or float.'						)
					if len(lowerCamelCase_						) != 0:
						_lowercase :    Dict							=							len(rows[0]						)
						if cols == 0:
							raise error
						for row in rows:
							if len(lowerCamelCase_						) != cols:
								raise error
							for value in row:
								if not isinstance(lowerCamelCase_			,					(int, float)						):
									raise error
						_lowercase :    int							=							rows
					else:
						_lowercase :    Optional[Any]							=							[]







				def 							__UpperCAmelCase					( self    :       List[str]						):

					"""simple docstring"""






					return [[row[i] for row in self.rows] for i in range(len(self.rows[0]						)						)]







				@property
				def 							__UpperCAmelCase					( self    :       List[str]						):

					"""simple docstring"""






					return len(self.rows						)







				@property
				def 							__UpperCAmelCase					( self    :       int						):

					"""simple docstring"""






					return len(self.rows[0]						)







				@property
				def 							__UpperCAmelCase					( self    :       Tuple						):

					"""simple docstring"""






					return (self.num_rows, self.num_columns)







				@property
				def 							__UpperCAmelCase					( self    :       List[str]						):

					"""simple docstring"""






					return self.order[0] == self.order[1]







				def 							__UpperCAmelCase					( self    :       Optional[Any]						):

					"""simple docstring"""






					_lowercase :    Optional[int]							=							[
					    [0 if column_num != row_num else 1 for column_num in range(self.num_rows						)]
					    for row_num in range(self.num_rows						)
					]
					return Matrix(lowerCamelCase_						)







				def 							__UpperCAmelCase					( self    :       Dict						):

					"""simple docstring"""






					if not self.is_square:
						return 0
					if self.order == (0, 0):
						return 1
					if self.order == (1, 1):
						return int(self.rows[0][0]						)
					if self.order == (2, 2):
						return int(
						    (self.rows[0][0] * self.rows[1][1])
						    - (self.rows[0][1] * self.rows[1][0])						)
					else:
						return sum(
						    self.rows[0][column] * self.cofactors().rows[0][column]
						    for column in range(self.num_columns						)						)







				def 							__UpperCAmelCase					( self    :       Union[str, Any]						):

					"""simple docstring"""






					return bool(self.determinant()						)







				def 							__UpperCAmelCase					( self    :       int			,					lowerCamelCase_    :       int			,					lowerCamelCase_    :       int						):

					"""simple docstring"""






					_lowercase :    List[str]							=							[
					    [
					        self.rows[other_row][other_column]
					        for other_column in range(self.num_columns						)
					        if other_column != column
					    ]
					    for other_row in range(self.num_rows						)
					    if other_row != row
					]
					return Matrix(lowerCamelCase_						).determinant()







				def 							__UpperCAmelCase					( self    :       str			,					lowerCamelCase_    :       int			,					lowerCamelCase_    :       int						):

					"""simple docstring"""






					if (row + column) % 2 == 0:
						return self.get_minor(lowerCamelCase_			,					lowerCamelCase_						)
					return -1 * self.get_minor(lowerCamelCase_			,					lowerCamelCase_						)







				def 							__UpperCAmelCase					( self    :       Dict						):

					"""simple docstring"""






					return Matrix(
					    [
					        [self.get_minor(lowerCamelCase_			,					lowerCamelCase_						) for column in range(self.num_columns						)]
					        for row in range(self.num_rows						)
					    ]						)







				def 							__UpperCAmelCase					( self    :       Tuple						):

					"""simple docstring"""






					return Matrix(
					    [
					        [
					            self.minors().rows[row][column]
					            if (row + column) % 2 == 0
					            else self.minors().rows[row][column] * -1
					            for column in range(self.minors().num_columns						)
					        ]
					        for row in range(self.minors().num_rows						)
					    ]						)







				def 							__UpperCAmelCase					( self    :       Tuple						):

					"""simple docstring"""






					_lowercase :    str							=							[
					    [self.cofactors().rows[column][row] for column in range(self.num_columns						)]
					    for row in range(self.num_rows						)
					]
					return Matrix(lowerCamelCase_						)







				def 							__UpperCAmelCase					( self    :       Union[str, Any]						):

					"""simple docstring"""






					_lowercase :    Dict							=							self.determinant()
					if not determinant:
						raise TypeError('Only matrices with a non-zero determinant have an inverse'						)
					return self.adjugate() * (1 / determinant)







				def __repr__( self    :       List[str]						):

					"""simple docstring"""






					return str(self.rows						)







				def __str__( self    :       str						):

					"""simple docstring"""






					if self.num_rows == 0:
						return "[]"
					if self.num_rows == 1:
						return "[[" + ". ".join(str(self.rows[0]						)						) + "]]"
					return (
					    "["
					    + "\n ".join(
					        [
					            '[' + '. '.join([str(lowerCamelCase_						) for value in row]						) + '.]'
					            for row in self.rows
					        ]						)
					    + "]"
					)







				def 							__UpperCAmelCase					( self    :       Union[str, Any]			,					lowerCamelCase_    :       list[int]			,					lowerCamelCase_    :       int | None = None						):

					"""simple docstring"""






					_lowercase :    Union[str, Any]							=							TypeError('Row must be a list containing all ints and/or floats'						)
					if not isinstance(lowerCamelCase_			,					lowerCamelCase_						):
						raise type_error
					for value in row:
						if not isinstance(lowerCamelCase_			,					(int, float)						):
							raise type_error
					if len(lowerCamelCase_						) != self.num_columns:
						raise ValueError(
						    'Row must be equal in length to the other rows in the matrix'						)
					if position is None:
						self.rows.append(lowerCamelCase_						)
					else:
						_lowercase :    Any							=							self.rows[0:position] + [row] + self.rows[position:]







				def 							__UpperCAmelCase					( self    :       str			,					lowerCamelCase_    :       list[int]			,					lowerCamelCase_    :       int | None = None						):

					"""simple docstring"""






					_lowercase :    Tuple							=							TypeError(
					    'Column must be a list containing all ints and/or floats'						)
					if not isinstance(lowerCamelCase_			,					lowerCamelCase_						):
						raise type_error
					for value in column:
						if not isinstance(lowerCamelCase_			,					(int, float)						):
							raise type_error
					if len(lowerCamelCase_						) != self.num_rows:
						raise ValueError(
						    'Column must be equal in length to the other columns in the matrix'						)
					if position is None:
						_lowercase :    List[Any]							=							[self.rows[i] + [column[i]] for i in range(self.num_rows						)]
					else:
						_lowercase :    Any							=							[
						    self.rows[i][0:position] + [column[i]] + self.rows[i][position:]
						    for i in range(self.num_rows						)
						]







				def __eq__( self    :       Union[str, Any]			,					lowerCamelCase_    :       object						):

					"""simple docstring"""






					if not isinstance(lowerCamelCase_			,					lowerCamelCase_						):
						return NotImplemented
					return self.rows == other.rows







				def __ne__( self    :       Any			,					lowerCamelCase_    :       object						):

					"""simple docstring"""






					return not self == other







				def __neg__( self    :       int						):

					"""simple docstring"""






					return self * -1







				def __add__( self    :       Optional[int]			,					lowerCamelCase_    :       Matrix						):

					"""simple docstring"""






					if self.order != other.order:
						raise ValueError('Addition requires matrices of the same order'						)
					return Matrix(
					    [
					        [self.rows[i][j] + other.rows[i][j] for j in range(self.num_columns						)]
					        for i in range(self.num_rows						)
					    ]						)







				def __sub__( self    :       str			,					lowerCamelCase_    :       Matrix						):

					"""simple docstring"""






					if self.order != other.order:
						raise ValueError('Subtraction requires matrices of the same order'						)
					return Matrix(
					    [
					        [self.rows[i][j] - other.rows[i][j] for j in range(self.num_columns						)]
					        for i in range(self.num_rows						)
					    ]						)







				def __mul__( self    :       Optional[Any]			,					lowerCamelCase_    :       Matrix | int | float						):

					"""simple docstring"""






					if isinstance(lowerCamelCase_			,					(int, float)						):
						return Matrix(
						    [[int(element * other						) for element in row] for row in self.rows]						)
					elif isinstance(lowerCamelCase_			,					lowerCamelCase_						):
						if self.num_columns != other.num_rows:
							raise ValueError(
							    'The number of columns in the first matrix must '
							    'be equal to the number of rows in the second'						)
						return Matrix(
						    [
						        [Matrix.dot_product(lowerCamelCase_			,					lowerCamelCase_						) for column in other.columns()]
						        for row in self.rows
						    ]						)
					else:
						raise TypeError(
						    'A Matrix can only be multiplied by an int, float, or another matrix'						)







				def __pow__( self    :       Optional[Any]			,					lowerCamelCase_    :       int						):

					"""simple docstring"""






					if not isinstance(lowerCamelCase_			,					lowerCamelCase_						):
						raise TypeError('A Matrix can only be raised to the power of an int'						)
					if not self.is_square:
						raise ValueError('Only square matrices can be raised to a power'						)
					if other == 0:
						return self.identity()
					if other < 0:
						if self.is_invertable():
							return self.inverse() ** (-other)
						raise ValueError(
						    'Only invertable matrices can be raised to a negative power'						)
					_lowercase :    str							=							self
					for _ in range(other - 1						):
						result *= self
					return result







				@classmethod
				def 							__UpperCAmelCase					( cls    :       str			,					lowerCamelCase_    :       list[int]			,					lowerCamelCase_    :       list[int]						):

					"""simple docstring"""






					return sum(row[i] * column[i] for i in range(len(lowerCamelCase_						)						)						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()



