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hub / github.com/boostorg/histogram / compare_6d

Function compare_6d

test/speed_numpy.py:94–129  ·  view source on GitHub ↗
(n, distrib)

Source from the content-addressed store, hash-verified

92 print "py:hd_sd %.3f" % best_boost
93
94def compare_6d(n, distrib):
95 if distrib == 0:
96 r = np.random.rand(n)
97 else:
98 r = 0.3 * np.random.randn(n)
99 r = r.reshape(6, n/6)
100
101 best_numpy = float("infinity")
102 best_boost = float("infinity")
103 for k in xrange(20):
104 t = timer()
105 w, xe = np.histogramdd(r.T, bins=(10, 10, 10,
106 10, 10, 10),
107 range=((0.0, 1.0),
108 (0.0, 1.0),
109 (0.0, 1.0),
110 (0.0, 1.0),
111 (0.0, 1.0),
112 (0.0, 1.0)))
113 t = timer() - t
114 best_numpy = min(t, best_numpy)
115
116 h = histogram(regular(10, 0, 1),
117 regular(10, 0, 1),
118 regular(10, 0, 1),
119 regular(10, 0, 1),
120 regular(10, 0, 1),
121 regular(10, 0, 1))
122 t = timer()
123 h.fill(r[0], r[1], r[2], r[3], r[4], r[5])
124 t = timer() - t
125 best_boost = min(t, best_boost)
126 assert(np.all(w == np.array(h)[:-2,:-2,:-2,:-2,:-2,:-2]))
127
128 print "py:numpy %.3f" % best_numpy
129 print "py:hd_sd %.3f" % best_boost
130
131nfill = 6000000
132

Callers 1

speed_numpy.pyFile · 0.70

Calls 2

regularClass · 0.90
histogramClass · 0.50

Tested by

no test coverage detected