




"""simple docstring"""




from __future__ import annotations

from scipy.special import comb  # type: ignore
class       a__   :






						def __init__(       self		,      _A      ):




											"""simple docstring"""



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






						def     __SCREAMING_SNAKE_CASE(       self		,      _A      ):




											"""simple docstring"""



											assert 0 <= t <= 1, "Time t must be between 0 and 1."
											__lowerCAmelCase           =	[]
											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     __SCREAMING_SNAKE_CASE(       self		,      _A      ):




											"""simple docstring"""



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

											__lowerCAmelCase           =	self.basis_function(_A      )
											__lowerCAmelCase           =	0.0
											__lowerCAmelCase           =	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     __SCREAMING_SNAKE_CASE(       self		,      _A = 0.01      ):




											"""simple docstring"""



											from matplotlib import pyplot as plt  # type: ignore

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

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

											__lowerCAmelCase           =	[i[0] for i in self.list_of_points]
											__lowerCAmelCase           =	[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










from pathlib import Path

import fire
from tqdm import tqdm







def      _a				(						SCREAMING_SNAKE_CASE_							:    Dict="ro"				,				SCREAMING_SNAKE_CASE_							:    Union[str, Any]="en"				,				SCREAMING_SNAKE_CASE_							:    Optional[Any]="wmt16"				,				SCREAMING_SNAKE_CASE_							:    List[str]=None					):
					try:
										import datasets
					except (ModuleNotFoundError, ImportError):
										raise ImportError("run pip install datasets"					)
					__lowerCAmelCase           =	F"""{src_lang}-{tgt_lang}"""
					print(F"""Converting {dataset}-{pair}"""					)
					__lowerCAmelCase           =	datasets.load_dataset(SCREAMING_SNAKE_CASE_				,				SCREAMING_SNAKE_CASE_					)
					if save_dir is None:
										__lowerCAmelCase           =	F"""{dataset}-{pair}"""
					__lowerCAmelCase           =	Path(SCREAMING_SNAKE_CASE_					)
					save_dir.mkdir(exist_ok=SCREAMING_SNAKE_CASE_					)

					for split in ds.keys():
										print(F"""Splitting {split} with {ds[split].num_rows} records"""					)

										# to save to val.source, val.target like summary datasets
										__lowerCAmelCase           =	"val" if split == "validation" else split
										__lowerCAmelCase           =	save_dir.joinpath(F"""{fn}.source"""					)
										__lowerCAmelCase           =	save_dir.joinpath(F"""{fn}.target"""					)
										__lowerCAmelCase           =	src_path.open("w+"					)
										__lowerCAmelCase           =	tgt_path.open("w+"					)

										# reader is the bottleneck so writing one record at a time doesn't slow things down
										for x in tqdm(ds[split]					):
															__lowerCAmelCase           =	x["translation"]
															src_fp.write(ex[src_lang] + "\n"					)
															tgt_fp.write(ex[tgt_lang] + "\n"					)

					print(F"""Saved {dataset} dataset to {save_dir}"""					)


if __name__ == "__main__":
					fire.Fire(download_wmt_dataset)




