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
<tlinnet@xxxxxxxxxxxxx>:
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}
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