See https://vmprof.readthedocs.org for up to date info
###Linux
sudo apt-get install python-dev
pip install vmprof
python -m vmprof <your program> <your program args>###Windows Install Microsoft Visual C++ Compiler for Python 2.7
pip install vmprof
Setting up development can be done using the following commands:
$ virtualenv -p /usr/bin/python3 vmprof3
$ source vmprof3/bin/activate
$ python setup.py develop
Now it is time to write a test and implement your feature. If you want your changes to affect vmprof.com, please head over to https://github.com/vmprof/vmprof-server and follow the setup instructions.
Please also consult our section for development at https://vmprof.readthedocs.org.
vmprofshow is a command line tool that comes with VMprof which can read profile files generated by VMprof and produce a nicely formatted output.
Here is an example of how to use:
Clone the vmprof repo first to use a minimalistic cpuburn.py:
git clone https://github.com/vmprof/vmprof-python
cd vmprof-pythonRun that smallish program which burns CPU cycles (with vmprof enabled):
python tests/cpuburn.pyThis will produce a profile file vmprof_cpuburn.dat.
Now display the profile:
vmprofshow vmprof_cpuburn.datYou will see a (colored) output:
oberstet@thinkpad-t430s:~/scm/vmprof-python$ vmprofshow vmprof_cpuburn.dat
100.0% <module> 100.0% tests/cpuburn.py:1
100.0% .. test 100.0% tests/cpuburn.py:35
100.0% .... burn 100.0% tests/cpuburn.py:26
99.2% ...... _iterate 99.2% tests/cpuburn.py:19
97.7% ........ _iterate 98.5% tests/cpuburn.py:19
22.9% .......... _next_rand 23.5% tests/cpuburn.py:14
22.9% ............ JIT code 100.0% 0x7fa7dba57a10
74.7% .......... JIT code 76.4% 0x7fa7dba57a10
0.1% .......... JIT code 0.1% 0x7fa7dba583b0
0.5% ........ _next_rand 0.5% tests/cpuburn.py:14
0.0% ........ JIT code 0.0% 0x7fa7dba583b0vmprof supports line profiling mode, which enables collecting and showing the statistics for separate lines inside functions.
To enable collection of lines statistics add --lines argument to vmprof:
python -m vmprof --lines -o <output-file> <your program> <your program args>Or pass lines=True argument to vmprof.enable function, when calling vmprof from code.
To see line statistics for all functions add the --lines argument to vmprofshow:
vmprofshow --lines <output-file>To see line statistics for a specific function use the --filter argument with the function name:
vmprofshow --lines --filter <function-name> <output-file>You will see the result:
macbook-pro-4:vmprof-python traff$ vmprofshow --lines --filter _next_rand vmprof_cpuburn.dat
Total hits: 1170 s
File: tests/cpuburn.py
Function: _next_rand at line 14
Line # Hits % Hits Line Contents
=======================================
14 38 3.2 def _next_rand(self):
15 # http://rosettacode.org/wiki/Linear_congruential_generator
16 835 71.4 self._rand = (1103515245 * self._rand + 12345) & 0x7fffffff
17 297 25.4 return self._rand