




'''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							:       List[Any]						=			False, False, False




@dataclass
class 			_snake_case		:
			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=lowercase_						,						repr=lowercase_							)




			def __call__( self							)    ->    Tuple:

										'''simple docstring'''




										return self.pa_type




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    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(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
																	snake_case_      =				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!)
																															snake_case_      =				np.frombuffer(value["bytes"]    ,							dtype=np.intaa							).astype(np.floataa							) / 32_767
																								else:
																															snake_case_      =				np.memmap(value["path"]    ,							dtype="h"    ,							mode="r"							).astype(np.floataa							) / 32_767

																								snake_case_      =				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        lowerCAmelCase__    ( self    ,							a__    ,							a__ = None							)    ->    dict:

										'''simple docstring'''




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

										snake_case_ ,				snake_case_      =				(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

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

																	with xopen(a__    ,							"rb"    ,							use_auth_token=a__							) as f:
																								snake_case_ ,				snake_case_      =				sf.read(a__							)

										else:
																	snake_case_ ,				snake_case_      =				sf.read(a__							)

										snake_case_      =				array.T
										if self.mono:
																	snake_case_      =				librosa.to_mono(a__							)
										if self.sampling_rate and self.sampling_rate != sampling_rate:
																	snake_case_      =				librosa.resample(a__    ,							orig_sr=a__    ,							target_sr=self.sampling_rate							)
																	snake_case_      =				self.sampling_rate

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




			def        lowerCAmelCase__    ( self							)    ->    Union["FeatureType", Dict[str, "FeatureType"]]:

										'''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    ,							a__							)    ->    pa.StructArray:

										'''simple docstring'''




										if pa.types.is_string(storage.type							):
																	snake_case_      =				pa.array([None] * len(a__							)    ,							type=pa.binary()							)
																	snake_case_      =				pa.StructArray.from_arrays([bytes_array, storage]    ,							["bytes", "path"]    ,							mask=storage.is_null()							)
										elif pa.types.is_binary(storage.type							):
																	snake_case_      =				pa.array([None] * len(a__							)    ,							type=pa.string()							)
																	snake_case_      =				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"							):
																	snake_case_      =				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:
																								snake_case_      =				storage.field("bytes"							)
																	else:
																								snake_case_      =				pa.array([None] * len(a__							)    ,							type=pa.binary()							)
																	if storage.type.get_field_index("path"							) >= 0:
																								snake_case_      =				storage.field("path"							)
																	else:
																								snake_case_      =				pa.array([None] * len(a__							)    ,							type=pa.string()							)
																	snake_case_      =				pa.StructArray.from_arrays([bytes_array, path_array]    ,							["bytes", "path"]    ,							mask=storage.is_null()							)
										return array_cast(a__    ,							self.pa_type							)




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    pa.StructArray:

										'''simple docstring'''




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

										snake_case_      =				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()    ,							)
										snake_case_      =				pa.array(
										    [os.path.basename(a__							) if path is not None else None for path in storage.field("path"							).to_pylist()]    ,							type=pa.string()    ,							)
										snake_case_      =				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

from scipy.special import comb  # type: ignore




class 			_snake_case		:




			def __init__( self    ,							a__							)    ->    Union[str, Any]:

										'''simple docstring'''




										snake_case_      =				list_of_points
										# Degree determines the flexibility of the curve.
										# Degree = 1 will produce a straight line.
										snake_case_      =				len(a__							) - 1




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    list[float]:

										'''simple docstring'''




										assert 0 <= t <= 1, "Time t must be between 0 and 1."
										snake_case_      =				[]
										for i in range(len(self.list_of_points							)							):
																	# basis function for each i
																	output_values.append(
																	    comb(self.degree    ,							a__							) * ((1 - t) ** (self.degree - i)) * (t**i)							)
										# the basis must sum up to 1 for it to produce a valid Bezier curve.
										assert round(sum(a__							)    ,							5							) == 1
										return output_values




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    tuple[float, float]:

										'''simple docstring'''




										assert 0 <= t <= 1, "Time t must be between 0 and 1."

										snake_case_      =				self.basis_function(a__							)
										snake_case_      =				0.0
										snake_case_      =				0.0
										for i in range(len(self.list_of_points							)							):
																	# For all points, sum up the product of i-th basis function and i-th point.
																	x += basis_function[i] * self.list_of_points[i][0]
																	y += basis_function[i] * self.list_of_points[i][1]
										return (x, y)




			def        lowerCAmelCase__    ( self    ,							a__ = 0.0_1							)    ->    Any:

										'''simple docstring'''




										from matplotlib import pyplot as plt  # type: ignore

										snake_case_      =				[]  # x coordinates of points to plot
										snake_case_      =				[]  # y coordinates of points to plot

										snake_case_      =				0.0
										while t <= 1:
																	snake_case_      =				self.bezier_curve_function(a__							)
																	to_plot_x.append(value[0]							)
																	to_plot_y.append(value[1]							)
																	t += step_size

										snake_case_      =				[i[0] for i in self.list_of_points]
										snake_case_      =				[i[1] for i in self.list_of_points]

										plt.plot(
										    a__    ,							a__    ,							color="blue"    ,							label="Curve of Degree " + str(self.degree							)    ,							)
										plt.scatter(a__    ,							a__    ,							color="red"    ,							label="Control Points"							)
										plt.legend()
										plt.show()


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		BezierCurve([(1, 2), (3, 5)]).plot_curve()  # degree 1
		BezierCurve([(0, 0), (5, 5), (5, 0)]).plot_curve()  # degree 2
		BezierCurve([(0, 0), (5, 5), (5, 0), (2.5, -2.5)]).plot_curve()  # degree 3




