micropython: add micropython component

components/language/micropython/tests/perf_bench/bm_float.py

@@ -0,0 +1,74 @@
+# Source: https://github.com/python/pyperformance
+# License: MIT
+
+# Artificial, floating point-heavy benchmark originally used by Factor.
+
+from math import sin, cos, sqrt
+
+
+class Point(object):
+    __slots__ = ("x", "y", "z")
+
+    def __init__(self, i):
+        self.x = x = sin(i)
+        self.y = cos(i) * 3
+        self.z = (x * x) / 2
+
+    def __repr__(self):
+        return "<Point: x=%s, y=%s, z=%s>" % (self.x, self.y, self.z)
+
+    def normalize(self):
+        x = self.x
+        y = self.y
+        z = self.z
+        norm = sqrt(x * x + y * y + z * z)
+        self.x /= norm
+        self.y /= norm
+        self.z /= norm
+
+    def maximize(self, other):
+        self.x = self.x if self.x > other.x else other.x
+        self.y = self.y if self.y > other.y else other.y
+        self.z = self.z if self.z > other.z else other.z
+        return self
+
+
+def maximize(points):
+    next = points[0]
+    for p in points[1:]:
+        next = next.maximize(p)
+    return next
+
+
+def benchmark(n):
+    points = [None] * n
+    for i in range(n):
+        points[i] = Point(i)
+    for p in points:
+        p.normalize()
+    return maximize(points)
+
+
+###########################################################################
+# Benchmark interface
+
+bm_params = {
+    (50, 25): (1, 150),
+    (100, 100): (1, 250),
+    (1000, 1000): (10, 1500),
+    (5000, 1000): (20, 3000),
+}
+
+
+def bm_setup(params):
+    state = None
+
+    def run():
+        nonlocal state
+        for _ in range(params[0]):
+            state = benchmark(params[1])
+
+    def result():
+        return params[0] * params[1], "Point(%.4f, %.4f, %.4f)" % (state.x, state.y, state.z)
+
+    return run, result