Programming parallel for C++ and Python application


 
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Special Forums UNIX and Linux Applications High Performance Computing Programming parallel for C++ and Python application
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Old 04-07-2013
I am getting concerned that our compiled Boost-code is getting bloated. We will be experimenting with basic C++ functions as if there was only one core and no Boost, then add MPI pragmas to the C++ code and finally add user functionality (screens, post-processing etc) in Python.
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PYTHON-COVERAGE(1)					      General Commands Manual						PYTHON-COVERAGE(1)

NAME
python-coverage - measure code coverage of Python program execution SYNOPSIS
python-coverage -x module.py [ARG...] python-coverage -e python-coverage -r [-m] python-coverage -a [file...] DESCRIPTION
python-coverage executes a Python program and measures which of its statements are executed and which are not. It stores the information in the file .coverage in the current working directory. OPTIONS
-e Erase the .coverage file. -x Execute a Python module, giving it the remaining command line arguments. -r Produce a coverage report. -m With -r, show the line numbers that were missed by the execution. -a Annotate source files. For each source file foo, produce foo,cover, with executed lines prefixed by ">" and non-executed by "!". --help Produce a help summary. It might be more helpful than this manual page. AUTHOR
The python-coverage command is a one-line Python script which calls the coverage.py Python module to do all the work. The module was rigi- nally developed by Gareth Rees, and is now developed by Ned Batchelder. The module's home page is http://www.nedbatchelder.com/code/modules/coverage.html. This manual page was cobbled together by Lars Wirzenius for Debian, by copy-pasting from the help texts from the module. PYTHON-COVERAGE(1)