This script creates the relax datastructures, and issues the call to the target function.
It was discussed in:
http://thread.gmane.org/gmane.science.nmr.relax.devel/6022.
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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:
2 fields
20 dispersion points
iterations of function call: 1000
Timed for simulating 1 or 100 clustered spins.
svn ls "^/tags"
For tag 3.2.2
svn switch ^/tags/3.2.2
1 spin:
ncalls tottime percall cumtime percall filename:lineno(function)
2000 0.168 0.000 0.198 0.000 cr72.py:100(r2eff_CR72)
1000 0.040 0.000 0.280 0.000 relax_disp.py:456(calc_CR72_chi2)
2000 0.028 0.000 0.039 0.000 chi2.py:32(chi2)
100 spins:
ncalls tottime percall cumtime percall filename:lineno(function)
200000 16.810 0.000 19.912 0.000 cr72.py:100(r2eff_CR72)
1000 4.185 0.004 28.518 0.029 relax_disp.py:456(calc_CR72_chi2)
200000 3.018 0.000 4.144 0.000 chi2.py:32(chi2)
For tag 3.2.1
svn switch ^/tags/3.2.1
1 spin:
ncalls tottime percall cumtime percall filename:lineno(function)
2000 0.696 0.000 0.697 0.000 cr72.py:98(r2eff_CR72)
1000 0.038 0.000 0.781 0.001 relax_disp.py:456(calc_CR72_chi2)
2000 0.031 0.000 0.043 0.000 chi2.py:32(chi2)
100 spins:
ncalls tottime percall cumtime percall filename:lineno(function)
200000 75.880 0.000 76.078 0.000 cr72.py:98(r2eff_CR72)
1000 4.201 0.004 85.519 0.086 relax_disp.py:456(calc_CR72_chi2)
200000 3.513 0.000 4.940 0.000 chi2.py:32(chi2)
