first commit

2025-09-03 14:22:47 +00:00 · 2018-07-24 15:40:59 +02:00
commit d0d03faed9
1884 changed files with 366061 additions and 0 deletions
--- a/projecten1/lib/python3.6/site-packages/numpy/ma/bench.py
+++ b/projecten1/lib/python3.6/site-packages/numpy/ma/bench.py
@@ -0,0 +1,133 @@
+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+
+from __future__ import division, print_function
+
+import timeit
+import numpy
+
+
+###############################################################################
+#                               Global variables                              #
+###############################################################################
+
+
+# Small arrays
+xs = numpy.random.uniform(-1, 1, 6).reshape(2, 3)
+ys = numpy.random.uniform(-1, 1, 6).reshape(2, 3)
+zs = xs + 1j * ys
+m1 = [[True, False, False], [False, False, True]]
+m2 = [[True, False, True], [False, False, True]]
+nmxs = numpy.ma.array(xs, mask=m1)
+nmys = numpy.ma.array(ys, mask=m2)
+nmzs = numpy.ma.array(zs, mask=m1)
+
+# Big arrays
+xl = numpy.random.uniform(-1, 1, 100*100).reshape(100, 100)
+yl = numpy.random.uniform(-1, 1, 100*100).reshape(100, 100)
+zl = xl + 1j * yl
+maskx = xl > 0.8
+masky = yl < -0.8
+nmxl = numpy.ma.array(xl, mask=maskx)
+nmyl = numpy.ma.array(yl, mask=masky)
+nmzl = numpy.ma.array(zl, mask=maskx)
+
+
+###############################################################################
+#                                 Functions                                   #
+###############################################################################
+
+
+def timer(s, v='', nloop=500, nrep=3):
+    units = ["s", "ms", "µs", "ns"]
+    scaling = [1, 1e3, 1e6, 1e9]
+    print("%s : %-50s : " % (v, s), end=' ')
+    varnames = ["%ss,nm%ss,%sl,nm%sl" % tuple(x*4) for x in 'xyz']
+    setup = 'from __main__ import numpy, ma, %s' % ','.join(varnames)
+    Timer = timeit.Timer(stmt=s, setup=setup)
+    best = min(Timer.repeat(nrep, nloop)) / nloop
+    if best > 0.0:
+        order = min(-int(numpy.floor(numpy.log10(best)) // 3), 3)
+    else:
+        order = 3
+    print("%d loops, best of %d: %.*g %s per loop" % (nloop, nrep,
+                                                      3,
+                                                      best * scaling[order],
+                                                      units[order]))
+
+
+def compare_functions_1v(func, nloop=500,
+                       xs=xs, nmxs=nmxs, xl=xl, nmxl=nmxl):
+    funcname = func.__name__
+    print("-"*50)
+    print("%s on small arrays" % funcname)
+    module, data = "numpy.ma", "nmxs"
+    timer("%(module)s.%(funcname)s(%(data)s)" % locals(), v="%11s" % module, nloop=nloop)
+
+    print("%s on large arrays" % funcname)
+    module, data = "numpy.ma", "nmxl"
+    timer("%(module)s.%(funcname)s(%(data)s)" % locals(), v="%11s" % module, nloop=nloop)
+    return
+
+def compare_methods(methodname, args, vars='x', nloop=500, test=True,
+                    xs=xs, nmxs=nmxs, xl=xl, nmxl=nmxl):
+    print("-"*50)
+    print("%s on small arrays" % methodname)
+    data, ver = "nm%ss" % vars, 'numpy.ma'
+    timer("%(data)s.%(methodname)s(%(args)s)" % locals(), v=ver, nloop=nloop)
+
+    print("%s on large arrays" % methodname)
+    data, ver = "nm%sl" % vars, 'numpy.ma'
+    timer("%(data)s.%(methodname)s(%(args)s)" % locals(), v=ver, nloop=nloop)
+    return
+
+def compare_functions_2v(func, nloop=500, test=True,
+                       xs=xs, nmxs=nmxs,
+                       ys=ys, nmys=nmys,
+                       xl=xl, nmxl=nmxl,
+                       yl=yl, nmyl=nmyl):
+    funcname = func.__name__
+    print("-"*50)
+    print("%s on small arrays" % funcname)
+    module, data = "numpy.ma", "nmxs,nmys"
+    timer("%(module)s.%(funcname)s(%(data)s)" % locals(), v="%11s" % module, nloop=nloop)
+
+    print("%s on large arrays" % funcname)
+    module, data = "numpy.ma", "nmxl,nmyl"
+    timer("%(module)s.%(funcname)s(%(data)s)" % locals(), v="%11s" % module, nloop=nloop)
+    return
+
+
+if __name__ == '__main__':
+    compare_functions_1v(numpy.sin)
+    compare_functions_1v(numpy.log)
+    compare_functions_1v(numpy.sqrt)
+
+    compare_functions_2v(numpy.multiply)
+    compare_functions_2v(numpy.divide)
+    compare_functions_2v(numpy.power)
+
+    compare_methods('ravel', '', nloop=1000)
+    compare_methods('conjugate', '', 'z', nloop=1000)
+    compare_methods('transpose', '', nloop=1000)
+    compare_methods('compressed', '', nloop=1000)
+    compare_methods('__getitem__', '0', nloop=1000)
+    compare_methods('__getitem__', '(0,0)', nloop=1000)
+    compare_methods('__getitem__', '[0,-1]', nloop=1000)
+    compare_methods('__setitem__', '0, 17', nloop=1000, test=False)
+    compare_methods('__setitem__', '(0,0), 17', nloop=1000, test=False)
+
+    print("-"*50)
+    print("__setitem__ on small arrays")
+    timer('nmxs.__setitem__((-1,0),numpy.ma.masked)', 'numpy.ma   ', nloop=10000)
+
+    print("-"*50)
+    print("__setitem__ on large arrays")
+    timer('nmxl.__setitem__((-1,0),numpy.ma.masked)', 'numpy.ma   ', nloop=10000)
+
+    print("-"*50)
+    print("where on small arrays")
+    timer('numpy.ma.where(nmxs>2,nmxs,nmys)', 'numpy.ma   ', nloop=1000)
+    print("-"*50)
+    print("where on large arrays")
+    timer('numpy.ma.where(nmxl>2,nmxl,nmyl)', 'numpy.ma   ', nloop=100)