Follow-up Comment #22, task #7807 (project relax):
System tests which fails
F 20.55 s for Relax_disp.test_hansen_cpmg_data_missing_auto_analysis
F 17.85 s for Relax_disp.test_sod1wt_t25_to_cr72
Checked on MacBook Pro
2.4 GHz Intel Core i5
8 GB 1067 Mhz DDR3 RAM.
Python Distribution -- Python 2.7.3 |EPD 7.3-2 (32-bit)|
Timing for:
3 fields
('sfrq: ', 600000000.0, 'number of cpmg frq', 15, array([ 2., 6., 10., 14.,
18., 22., 26., 30., 34., 38., 42., 46., 50., 54., 58.]))
('sfrq: ', 800000000.0, 'number of cpmg frq', 20, array([ 2., 6., 10., 14.,
18., 22., 26., 30., 34., 38., 42., 46., 50., 54., 58., 62., 66., 70., 74.,
78.]))
('sfrq: ', 900000000.0, 'number of cpmg frq', 22, array([ 2., 6., 10., 14.,
18., 22., 26., 30., 34., 38., 42., 46., 50., 54., 58., 62., 66., 70., 74.,
78., 82., 86.]))
iterations of function call: 1000
Timed for simulating 1 or 100 clustered spins.
########
For trunk: r23720
########
1 spin:
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 0.561 0.561 <string>:1(<module>)
1 0.001 0.001 0.561 0.561 pf:419(single)
1000 0.002 0.000 0.557 0.001 pf:405(calc)
1000 0.008 0.000 0.554 0.001
relax_disp.py:908(func_CR72_full)
1000 0.053 0.000 0.541 0.001
relax_disp.py:456(calc_CR72_chi2)
3003 0.384 0.000 0.427 0.000 cr72.py:100(r2eff_CR72)
3000 0.042 0.000 0.057 0.000 chi2.py:32(chi2)
100 spins:
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 54.497 54.497 <string>:1(<module>)
1 0.002 0.002 54.497 54.497 pf:441(cluster)
1000 0.004 0.000 54.411 0.054 pf:405(calc)
1000 0.012 0.000 54.407 0.054
relax_disp.py:908(func_CR72_full)
1000 5.241 0.005 54.380 0.054
relax_disp.py:456(calc_CR72_chi2)
300300 38.743 0.000 43.050 0.000 cr72.py:100(r2eff_CR72)
300000 4.224 0.000 5.736 0.000 chi2.py:32(chi2)
########
For disp_spin_speed: r23739
########
1 spin:
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 0.794 0.794 <string>:1(<module>)
1 0.001 0.001 0.793 0.793 pf:419(single)
1000 0.002 0.000 0.788 0.001 pf:405(calc)
1000 0.008 0.000 0.786 0.001
relax_disp.py:973(func_CR72_full)
1000 0.145 0.000 0.772 0.001
relax_disp.py:496(calc_CR72_chi2)
1003 0.163 0.000 0.376 0.000 cr72.py:101(r2eff_CR72)
23029 0.195 0.000 0.195 0.000 {numpy.core.multiarray.array}
4003 0.123 0.000 0.189 0.000 numeric.py:1862(allclose)
3000 0.043 0.000 0.059 0.000 chi2.py:32(chi2)
100 spins:
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 44.674 44.674 <string>:1(<module>)
1 0.003 0.003 44.674 44.674 pf:441(cluster)
1000 0.004 0.000 44.556 0.045 pf:405(calc)
1000 0.015 0.000 44.551 0.045
relax_disp.py:973(func_CR72_full)
1000 15.091 0.015 44.520 0.045
relax_disp.py:496(calc_CR72_chi2)
1510108 20.473 0.000 20.473 0.000 {numpy.core.multiarray.array}
300000 4.727 0.000 6.454 0.000 chi2.py:32(chi2)
1300 1.403 0.001 2.184 0.002 cr72.py:101(r2eff_CR72)
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[task #7807] Speed-up of dispersion models for Clustered analysis