You wait until you see what happens with your multiple offset R1rho data ;)
On 11 June 2014 15:42, Troels Emtekær Linnet <[email protected]> wrote: > The progress is EXTREME. > > Per spin, I am now 1.5 X faster per spin calculation. > Per cluster of 100, I am now 33X faster. > > Go one more version up, and it is 64 X faster. > > WOW! > > > > ---- > Checked on MacBook Pro > 2.4 GHz Intel Core i5 > 8 GB 1067 Mhz DDR3 RAM. > > 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. > > Find tags: > svn ls "^/tags" > svn switch ^/tags/3.2.2 > > ############################################################################################## > ncalls tottime percall cumtime percall filename:lineno(function) > > ############################ > For disp_spin_speed r23841 # > ############################ > 1 spin: > 1 0.000 0.000 0.373 0.373 <string>:1(<module>) > 1 0.001 0.001 0.373 0.373 pf:427(single) > 1000 0.002 0.000 0.366 0.000 pf:413(calc) > 1000 0.012 0.000 0.363 0.000 > relax_disp.py:994(func_CR72_full) > 1000 0.027 0.000 0.345 0.000 > relax_disp.py:545(calc_CR72_chi2) > 1003 0.148 0.000 0.260 0.000 cr72.py:101(r2eff_CR72) > 7043 0.059 0.000 0.059 0.000 {method 'reduce' of > 'numpy.ufunc' objects} > 1000 0.004 0.000 0.052 0.000 core.py:1701(masked_where) > 3006 0.006 0.000 0.036 0.000 fromnumeric.py:1621(sum) > 3006 0.004 0.000 0.028 0.000 _methods.py:23(_sum) > 3000 0.024 0.000 0.024 0.000 {method 'outer' of > 'numpy.ufunc' objects} > 1000 0.013 0.000 0.024 0.000 chi2.py:72(chi2_rankN) > 1000 0.002 0.000 0.024 0.000 {method 'view' of > 'numpy.ndarray' objects} > 2006 0.003 0.000 0.023 0.000 fromnumeric.py:2132(amin) > 1000 0.003 0.000 0.021 0.000 core.py:2774(__array_finalize__) > > 100 spins: > 1 0.000 0.000 1.630 1.630 <string>:1(<module>) > 1 0.003 0.003 1.630 1.630 pf:449(cluster) > 1000 0.004 0.000 1.532 0.002 pf:413(calc) > 1000 0.020 0.000 1.528 0.002 > relax_disp.py:994(func_CR72_full) > 1000 0.073 0.000 1.495 0.001 > relax_disp.py:545(calc_CR72_chi2) > 1300 1.071 0.001 1.285 0.001 cr72.py:101(r2eff_CR72) > 8528 0.131 0.000 0.131 0.000 {method 'reduce' of > 'numpy.ufunc' objects} > 1 0.000 0.000 0.094 0.094 pf:106(__init__) > 3000 0.083 0.000 0.083 0.000 {method 'outer' of > 'numpy.ufunc' objects} > 3600 0.009 0.000 0.082 0.000 fromnumeric.py:1621(sum) > 1000 0.055 0.000 0.079 0.000 chi2.py:72(chi2_rankN) > 1000 0.006 0.000 0.078 0.000 core.py:1701(masked_where) > 1 0.019 0.019 0.069 0.069 pf:173(return_r2eff_arrays) > 3600 0.006 0.000 0.067 0.000 _methods.py:23(_sum) > 2600 0.006 0.000 0.049 0.000 fromnumeric.py:2132(amin) > 2600 0.005 0.000 0.042 0.000 _methods.py:19(_amin) > 1000 0.004 0.000 0.032 0.000 {method 'view' of > 'numpy.ndarray' objects} > > > ############################ > For disp_spin_speed r23806 # > ############################ > 1 spin: > 1 0.000 0.000 0.546 0.546 <string>:1(<module>) > 1 0.002 0.002 0.546 0.546 pf:427(single) > 1000 0.003 0.000 0.538 0.001 pf:413(calc) > 1000 0.015 0.000 0.535 0.001 > relax_disp.py:989(func_CR72_full) > 1000 0.042 0.000 0.513 0.001 > relax_disp.py:523(calc_CR72_chi2) > 1003 0.142 0.000 0.365 0.000 cr72.py:101(r2eff_CR72) > 2003 0.055 0.000 0.181 0.000 numeric.py:2056(allclose) > 10046 0.083 0.000 0.083 0.000 {method 'reduce' of > 'numpy.ufunc' objects} > 3000 0.045 0.000 0.076 0.000 shape_base.py:761(tile) > 4015 0.006 0.000 0.053 0.000 fromnumeric.py:1762(any) > 4015 0.004 0.000 0.039 0.000 {method 'any' of > 'numpy.ndarray' objects} > 4015 0.005 0.000 0.035 0.000 _methods.py:31(_any) > 2003 0.003 0.000 0.028 0.000 fromnumeric.py:1842(all) > 1000 0.014 0.000 0.026 0.000 chi2.py:72(chi2_rankN) > 2003 0.004 0.000 0.026 0.000 fromnumeric.py:1621(sum) > 4138 0.012 0.000 0.025 0.000 numeric.py:2320(seterr) > 2003 0.002 0.000 0.020 0.000 {method 'all' of > 'numpy.ndarray' objects} > 2003 0.003 0.000 0.019 0.000 _methods.py:23(_sum) > 2003 0.003 0.000 0.018 0.000 _methods.py:35(_all) > 14046 0.016 0.000 0.016 0.000 {numpy.core.multiarray.array} > > 100 spins: > 1 0.000 0.000 2.036 2.036 <string>:1(<module>) > 1 0.003 0.003 2.036 2.036 pf:449(cluster) > 1000 0.004 0.000 1.905 0.002 pf:413(calc) > 1000 0.022 0.000 1.901 0.002 > relax_disp.py:989(func_CR72_full) > 1000 0.098 0.000 1.865 0.002 > relax_disp.py:523(calc_CR72_chi2) > 1300 0.986 0.001 1.511 0.001 cr72.py:101(r2eff_CR72) > 2300 0.238 0.000 0.434 0.000 numeric.py:2056(allclose) > 3000 0.058 0.000 0.238 0.000 shape_base.py:761(tile) > 4000 0.154 0.000 0.154 0.000 {method 'repeat' of > 'numpy.ndarray' objects} > 11828 0.147 0.000 0.147 0.000 {method 'reduce' of > 'numpy.ufunc' objects} > 1 0.000 0.000 0.129 0.129 pf:106(__init__) > 1 0.021 0.021 0.098 0.098 pf:173(return_r2eff_arrays) > 1000 0.054 0.000 0.078 0.000 chi2.py:72(chi2_rankN) > 4609 0.008 0.000 0.073 0.000 fromnumeric.py:1762(any) > 2300 0.007 0.000 0.055 0.000 fromnumeric.py:1621(sum) > 4609 0.005 0.000 0.054 0.000 {method 'any' of > 'numpy.ndarray' objects} > 4609 0.006 0.000 0.049 0.000 _methods.py:31(_any) > 2300 0.004 0.000 0.044 0.000 _methods.py:23(_sum) > 2300 0.005 0.000 0.039 0.000 fromnumeric.py:1842(all) > 4732 0.016 0.000 0.035 0.000 numeric.py:2320(seterr) > 4600 0.032 0.000 0.032 0.000 {abs} > 1301 0.004 0.000 0.030 0.000 fromnumeric.py:2048(amax) > 17016 0.028 0.000 0.028 0.000 {numpy.core.multiarray.array} > > ############################ > For trunk r23785 # > ############################ > 1 spin: > 1 0.000 0.000 0.572 0.572 <string>:1(<module>) > 1 0.002 0.002 0.572 0.572 pf:427(single) > 1000 0.002 0.000 0.565 0.001 pf:413(calc) > 1000 0.013 0.000 0.563 0.001 > relax_disp.py:908(func_CR72_full) > 1000 0.061 0.000 0.543 0.001 > relax_disp.py:456(calc_CR72_chi2) > 3003 0.294 0.000 0.400 0.000 cr72.py:100(r2eff_CR72) > 12036 0.100 0.000 0.100 0.000 {method 'reduce' of > 'numpy.ufunc' objects} > 3000 0.042 0.000 0.078 0.000 chi2.py:32(chi2) > 6003 0.011 0.000 0.072 0.000 fromnumeric.py:1621(sum) > 6003 0.008 0.000 0.055 0.000 _methods.py:23(_sum) > 3003 0.005 0.000 0.037 0.000 fromnumeric.py:2048(amax) > 3003 0.004 0.000 0.033 0.000 fromnumeric.py:2132(amin) > 3003 0.004 0.000 0.032 0.000 _methods.py:15(_amax) > 3003 0.004 0.000 0.029 0.000 _methods.py:19(_amin) > 6003 0.006 0.000 0.006 0.000 {isinstance} > > 100 spins: > 1 0.000 0.000 53.864 53.864 <string>:1(<module>) > 1 0.004 0.004 53.864 53.864 pf:449(cluster) > 1000 0.005 0.000 53.777 0.054 pf:413(calc) > 1000 0.022 0.000 53.772 0.054 > relax_disp.py:908(func_CR72_full) > 1000 6.340 0.006 53.735 0.054 > relax_disp.py:456(calc_CR72_chi2) > 300300 28.936 0.000 39.278 0.000 cr72.py:100(r2eff_CR72) > 1200927 9.811 0.000 9.811 0.000 {method 'reduce' of > 'numpy.ufunc' objects} > 300000 4.227 0.000 7.738 0.000 chi2.py:32(chi2) > 600300 1.047 0.000 7.051 0.000 fromnumeric.py:1621(sum) > 600300 0.752 0.000 5.434 0.000 _methods.py:23(_sum) > 300300 0.445 0.000 3.580 0.000 fromnumeric.py:2048(amax) > 300300 0.413 0.000 3.221 0.000 fromnumeric.py:2132(amin) > 300300 0.431 0.000 3.134 0.000 _methods.py:15(_amax) > 300300 0.383 0.000 2.808 0.000 _methods.py:19(_amin) > 600300 0.570 0.000 0.570 0.000 {isinstance} > > > ############################ > For tag 3.2.2 # > svn switch ^/tags/3.2.2 # > ############################ > > 1 spin: > 1 0.000 0.000 0.569 0.569 <string>:1(<module>) > 1 0.002 0.002 0.569 0.569 pf:427(single) > 1000 0.002 0.000 0.562 0.001 pf:413(calc) > 1000 0.005 0.000 0.560 0.001 > relax_disp.py:907(func_CR72_full) > 1000 0.062 0.000 0.555 0.001 > relax_disp.py:456(calc_CR72_chi2) > 3003 0.299 0.000 0.407 0.000 cr72.py:100(r2eff_CR72) > 12036 0.103 0.000 0.103 0.000 {method 'reduce' of > 'numpy.ufunc' objects} > 3000 0.044 0.000 0.082 0.000 chi2.py:32(chi2) > 6003 0.011 0.000 0.074 0.000 fromnumeric.py:1621(sum) > 6003 0.008 0.000 0.057 0.000 _methods.py:23(_sum) > 3003 0.005 0.000 0.037 0.000 fromnumeric.py:2048(amax) > 3003 0.004 0.000 0.034 0.000 fromnumeric.py:2132(amin) > 3003 0.004 0.000 0.033 0.000 _methods.py:15(_amax) > 3003 0.004 0.000 0.029 0.000 _methods.py:19(_amin) > 6003 0.006 0.000 0.006 0.000 {isinstance} > > 100 spins: > 1 0.000 0.000 53.987 53.987 <string>:1(<module>) > 1 0.004 0.004 53.987 53.987 pf:449(cluster) > 1000 0.004 0.000 53.907 0.054 pf:413(calc) > 1000 0.008 0.000 53.903 0.054 > relax_disp.py:907(func_CR72_full) > 1000 6.367 0.006 53.895 0.054 > relax_disp.py:456(calc_CR72_chi2) > 300300 28.870 0.000 39.278 0.000 cr72.py:100(r2eff_CR72) > 1200927 9.917 0.000 9.917 0.000 {method 'reduce' of > 'numpy.ufunc' objects} > 300000 4.283 0.000 7.853 0.000 chi2.py:32(chi2) > 600300 1.066 0.000 7.154 0.000 fromnumeric.py:1621(sum) > 600300 0.745 0.000 5.516 0.000 _methods.py:23(_sum) > 300300 0.447 0.000 3.565 0.000 fromnumeric.py:2048(amax) > 300300 0.417 0.000 3.259 0.000 fromnumeric.py:2132(amin) > 300300 0.422 0.000 3.118 0.000 _methods.py:15(_amax) > 300300 0.392 0.000 2.841 0.000 _methods.py:19(_amin) > 600300 0.572 0.000 0.572 0.000 {isinstance} > > ############################ > For tag 3.2.1 # > svn switch ^/tags/3.2.1 # > ############################ > 1 spin: > 1 0.000 0.000 1.021 1.021 <string>:1(<module>) > 1 0.002 0.002 1.021 1.021 pf:427(single) > 1000 0.002 0.000 1.014 0.001 pf:413(calc) > 1000 0.005 0.000 1.012 0.001 > relax_disp.py:907(func_CR72_full) > 1000 0.055 0.000 1.007 0.001 > relax_disp.py:456(calc_CR72_chi2) > 3003 0.861 0.000 0.864 0.000 cr72.py:98(r2eff_CR72) > 3000 0.043 0.000 0.084 0.000 chi2.py:32(chi2) > 3000 0.006 0.000 0.042 0.000 fromnumeric.py:1621(sum) > 3000 0.004 0.000 0.032 0.000 _methods.py:23(_sum) > 3027 0.028 0.000 0.028 0.000 {method 'reduce' of > 'numpy.ufunc' objects} > 8049 0.007 0.000 0.007 0.000 {range} > 1 0.000 0.000 0.006 0.006 pf:106(__init__) > 3 0.000 0.000 0.004 0.001 numeric.py:1509(array_repr) > 3 0.000 0.000 0.004 0.001 arrayprint.py:343(array2string) > 3 0.000 0.000 0.004 0.001 arrayprint.py:233(_array2string) > 3000 0.004 0.000 0.004 0.000 {isinstance} > > 100 spins: > 1 0.000 0.000 104.086 104.086 <string>:1(<module>) > 1 0.004 0.004 104.086 104.086 pf:449(cluster) > 1000 0.004 0.000 103.944 0.104 pf:413(calc) > 1000 0.009 0.000 103.940 0.104 > relax_disp.py:907(func_CR72_full) > 1000 6.057 0.006 103.931 0.104 > relax_disp.py:456(calc_CR72_chi2) > 300300 88.604 0.000 88.888 0.000 cr72.py:98(r2eff_CR72) > 300000 4.408 0.000 8.695 0.000 chi2.py:32(chi2) > 300000 0.627 0.000 4.287 0.000 fromnumeric.py:1621(sum) > 300000 0.458 0.000 3.296 0.000 _methods.py:23(_sum) > 300027 2.839 0.000 2.839 0.000 {method 'reduce' of > 'numpy.ufunc' objects} > 703722 0.672 0.000 0.672 0.000 {range} > 300000 0.364 0.000 0.364 0.000 {isinstance} > 1 0.000 0.000 0.139 0.139 pf:106(__init__) > > > ################# System information ###################### > Processor fabric: Uni-processor. > > > Hardware information: > Machine: x86_64 > Processor: i386 > Processor name: Intel(R) Core(TM) i5-2435M CPU @ 2.40GHz > Endianness: little > Total RAM size: 2048.0 Mb > Total swap size: 6144.0 Mb > > Operating system information: > System: Darwin > Release: 13.2.0 > Version: Darwin Kernel Version 13.2.0: Thu Apr 17 > 23:03:13 PDT 2014; root:xnu-2422.100.13~1/RELEASE_X86_64 > Mac version: 10.9.3 (, , ) x86_64 > Distribution: > Full platform string: Darwin-13.2.0-x86_64-i386-64bit > > Python information: > Architecture: 64bit > Python version: 2.7.6 > Python branch: > Python build: default, Apr 11 2014 11:55:30 > Python compiler: GCC 4.2.1 (Apple Inc. build 5666) (dot 3) > Libc version: > Python implementation: CPython > Python revision: > Python executable: > /Users/tlinnet/Library/Enthought/Canopy_64bit/User/bin/python > Python flags: sys.flags(debug=0, py3k_warning=0, > division_warning=0, division_new=0, inspect=0, interactive=0, > optimize=0, dont_write_bytecode=0, no_user_site=0, no_site=0, > ignore_environment=0, tabcheck=0, verbose=0, unicode=0, > bytes_warning=0, hash_randomization=0) > Python float info: > sys.float_info(max=1.7976931348623157e+308, max_exp=1024, > max_10_exp=308, min=2.2250738585072014e-308, min_exp=-1021, > min_10_exp=-307, dig=15, mant_dig=53, epsilon=2.220446049250313e-16, > radix=2, rounds=1) > Python module path: ['/Users/tlinnet/software/relax_trunk', > '/Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python27.zip', > '/Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7', > '/Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/plat-darwin', > '/Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/plat-mac', > '/Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/plat-mac/lib-scriptpackages', > '/Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/lib-tk', > '/Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/lib-old', > '/Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/lib-dynload', > '/Users/tlinnet/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages', > '/Users/tlinnet/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/PIL', > '/Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/site-packages'] > > Python packages and modules (most are optional): > > Name Installed Version Path > minfx True 1.0.6 > /Users/tlinnet/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/minfx > bmrblib True 1.0.3 > /Users/tlinnet/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/bmrblib > numpy True 1.8.0 > /Users/tlinnet/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/numpy > scipy True 0.13.3 > /Users/tlinnet/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy > wxPython True 2.9.2.4 osx-cocoa (classic) > /Users/tlinnet/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/wx > matplotlib True 1.3.1 > /Users/tlinnet/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/matplotlib > mpi4py False > epydoc True 3.0.1 > /Users/tlinnet/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/epydoc > optparse True 1.5.3 > /Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/optparse.pyc > readline True > /Users/tlinnet/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/readline.so > profile True > /Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/profile.pyc > bz2 True > /Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/lib-dynload/bz2.so > gzip True > /Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/gzip.pyc > io True > /Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/io.pyc > xml True 0.8.4 (internal) > /Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/xml/__init__.pyc > xml.dom.minidom True > /Applications/Canopy.app/appdata/canopy-1.4.0.1938.macosx-x86_64/Canopy.app/Contents/lib/python2.7/xml/dom/minidom.pyc > > relax information: > Version: repository checkout r23785 > svn+ssh://svn.gna.org/svn/relax/trunk > Processor fabric: Uni-processor. > > relax C modules: > > Module Compiled File type > Path > target_functions.relax_fit True 2-way ['Mach-O 64-bit bundle > x86_64', 'Mach-O bundle i386'] > /Users/tlinnet/software/relax_trunk/target_functions/relax_fit.so > > 2014-06-11 15:38 GMT+02:00 Troels Emtekær Linnet <[email protected]>: >> Hi Ed. >> >> I am now faster than trunk per spin, even if I replaces the cr72.py file. >> >> 10000 iterations: >> >> BRANCH: >> 1 0.000 0.000 4.060 4.060 <string>:1(<module>) >> 1 0.016 0.016 4.060 4.060 pf:427(single) >> 10000 0.028 0.000 4.038 0.000 pf:413(calc) >> 10000 0.133 0.000 4.010 0.000 >> relax_disp.py:994(func_CR72_full) >> 10000 0.301 0.000 3.803 0.000 >> relax_disp.py:545(calc_CR72_chi2) >> 10003 1.629 0.000 2.862 0.000 cr72.py:101(r2eff_CR72) >> 70043 0.647 0.000 0.647 0.000 {method 'reduce' of >> 'numpy.ufunc' objects} >> 10000 0.042 0.000 0.572 0.000 core.py:1701(masked_where) >> 30006 0.061 0.000 0.395 0.000 fromnumeric.py:1621(sum) >> 30006 0.040 0.000 0.305 0.000 _methods.py:23(_sum) >> 10000 0.142 0.000 0.269 0.000 chi2.py:72(chi2_rankN) >> 30000 0.267 0.000 0.267 0.000 {method 'outer' of >> 'numpy.ufunc' objects} >> 10000 0.026 0.000 0.262 0.000 {method 'view' of >> 'numpy.ndarray' objects} >> 20006 0.032 0.000 0.250 0.000 fromnumeric.py:2132(amin) >> >> TRUNK, with new CR72. >> 1 0.000 0.000 6.585 6.585 <string>:1(<module>) >> 1 0.016 0.016 6.585 6.585 pf:427(single) >> 10000 0.026 0.000 6.562 0.001 pf:413(calc) >> 10000 0.133 0.000 6.536 0.001 >> relax_disp.py:908(func_CR72_full) >> 10000 0.601 0.000 6.327 0.001 >> relax_disp.py:456(calc_CR72_chi2) >> 30003 3.153 0.000 4.907 0.000 cr72.py:101(r2eff_CR72) >> 180042 1.356 0.000 1.356 0.000 {method 'reduce' of >> 'numpy.ufunc' objects} >> 90006 0.165 0.000 1.108 0.000 fromnumeric.py:1621(sum) >> 90006 0.109 0.000 0.792 0.000 _methods.py:23(_sum) >> 30000 0.423 0.000 0.775 0.000 chi2.py:32(chi2) >> 60006 0.096 0.000 0.647 0.000 fromnumeric.py:2132(amin) >> 60006 0.074 0.000 0.483 0.000 _methods.py:19(_amin) >> 30003 0.044 0.000 0.350 0.000 fromnumeric.py:2048(amax) >> >> TRUNK, with original CR72. >> 1 0.000 0.000 5.994 5.994 <string>:1(<module>) >> 1 0.018 0.018 5.994 5.994 pf:427(single) >> 10000 0.027 0.000 5.971 0.001 pf:413(calc) >> 10000 0.142 0.000 5.944 0.001 >> relax_disp.py:908(func_CR72_full) >> 10000 0.639 0.000 5.722 0.001 >> relax_disp.py:456(calc_CR72_chi2) >> 30003 3.093 0.000 4.205 0.000 cr72.py:100(r2eff_CR72) >> 120036 1.051 0.000 1.051 0.000 {method 'reduce' of >> 'numpy.ufunc' objects} >> 30000 0.455 0.000 0.830 0.000 chi2.py:32(chi2) >> 60003 0.113 0.000 0.755 0.000 fromnumeric.py:1621(sum) >> 60003 0.078 0.000 0.580 0.000 _methods.py:23(_sum) >> 30003 0.049 0.000 0.382 0.000 fromnumeric.py:2048(amax) >> 30003 0.048 0.000 0.350 0.000 fromnumeric.py:2132(amin) >> 30003 0.045 0.000 0.333 0.000 _methods.py:15(_amax) >> 30003 0.041 0.000 0.302 0.000 _methods.py:19(_amin) >> 60003 0.061 0.000 0.061 0.000 {isinstance} >> 20002 0.061 0.000 0.061 0.000 {method 'flatten' of >> 'numpy.ndarray' objects} >> 50046 0.048 0.000 0.048 0.000 {range} > > _______________________________________________ > relax (http://www.nmr-relax.com) > > This is the relax-devel mailing list > [email protected] > > To unsubscribe from this list, get a password > reminder, or change your subscription options, > visit the list information page at > https://mail.gna.org/listinfo/relax-devel _______________________________________________ relax (http://www.nmr-relax.com) This is the relax-devel mailing list [email protected] To unsubscribe from this list, get a password reminder, or change your subscription options, visit the list information page at https://mail.gna.org/listinfo/relax-devel
