#mistake-bound

All training points lie within distance $R = 200.56$ of the origin, and some hyperplane through the origin separates them with geometric margin $\gamma = 5.573$. What upper bound does the perceptron convergence theorem give on the number of updates (mistakes)? Round down to an integer.