Suppose you have trained a perceptron on a binary classification with the folowing dataset:

X$1$:$-1,0\mathrm{.}5,1,-0\mathrm{.}5$

x$2$:$-1,-0\mathrm{.}5,0\mathrm{.}5,1$

Y:$1,1,0,0$

After training the decision boundary of the perceptron is a straight line passing through the origin that separates the positive and negative examples. the activation function is $($if v$>=0,$ y$=1$; else y$=0)$ which of the following options represents the trained weights of this perceptron?