🍱 Benchmarks Added

curvepy/curves_benchmark.py

+import cProfile
+import numpy as np
+import matplotlib.pyplot as plt
+import random
+import timeit
+from curvepy.bezier_curve import *
+
+
+def gen_pts(n=12):
+    xs, ys = [random.random() * 40 - 20 for _ in range(n)], [random.random() * 40 - 20 for _ in range(n)]
+    return np.array([xs, ys])
+
+
+def main(start, end, step):
+    curves = [BezierCurveMonomial] # BezierCurveDeCaes, BezierCurveBernstein, BezierCurveHorner, BezierCurveApproximation
+    points = {c : [] for c in curves}
+    print("hello")
+    for cnt_p in range(start, end, step):
+        print("hello")
+        times = {c : [] for c in curves}
+        for _ in range(1):
+            pts = gen_pts(n=cnt_p)
+            for c in curves:
+                b = c(pts)
+                t = timeit.timeit('b.curve', globals=locals())
+                times[c].append(t)
+        for c in curves:
+            points[c].append((cnt_p, sum(times[c])/len(times[c])))
+
+    for c in curves:
+        plt.plot([x[0] for x in points[c]], [x[1] for x in points[c]])
+    plt.legend([c for c in curves])
+    plt.show()
+
+
+if __name__ == '__main__':
+    main(start=1, end=1000, step=50)