# Run Qt pre-compiler and generate makefile
qmake [-o MAKEFILE_NAME] [PRO_FILE.pro]
# Clean build files (*.o, *.moc)
make clean
# Compile C++ Code
make
# Convert Qt resource file (*.qrc) to Python resource module (*_rc.py)
pyside-rcc *.qrc -o *_rc.py
# Convert Qt widget file (.ui) to Python widget module (*.py)
pyside-uic *.ui -o *.py
# Run a Specific Test
nosetests sknrf/utilities/tests/test_numeric.py
# Run All tests (Except Device Drivers)
nosetests --config=nose.cfg
# Run All Tests With Coverage (Except Device Drivers)
nosetests --config=nose.cfg --with-coverage --cover-package sknrf.model --cover-package sknrf.utilities
python3.4 setup.py bdist_wheel
There are two Python Package Installers of Interest
conda (preferred) Python/C/R/etc package installer. Installs binaries. Installed in the user’s local directory. Manages virtual environments.
pip Python package installer. Compiles everything from source. Installed in the system global directory. Does not manage virtual environments.
Python packages can be compiled as conda packages and installed using conda with conda-build installed.
conda skeleton pypi PACKAGE_NAME # Compile Python Package PACKAGE_NAME into conda skeleton
conda-build --python 3.4 PACKAGE_NAME # Compile Python Package PACKAGE_NAME into conda binary in the anaconda/conda-bld dir
conda install --use-local PACKAGE_NAME
# Navigate to the project/doc folder
cd doc
# Make the Programmable API
make apidoc
# Make the html documentation
make html
# Make the html images
make htmlimage
## List Docker CLI commands
docker
docker container --help
## Display Docker version and info
docker --version
docker version
docker info
## Execute Docker image
docker run hello-world
## List Docker images
docker image ls
## List Docker containers (running, all, all in quiet mode)
docker container ls
docker container ls --all
docker container ls -aq
import sknrf # Import the sknrf package
sknrf.main() # Run the sknrf entry point