Installation¶

Follow the instructions to install the required dependencies and the package itself.

For advanced users or developers: see the Developer’s Guide section for more information.

Dependencies installation ¶

Common dependencies ¶

Ubuntu ¶

sudo apt install build-essential cmake libzmq3-dev \
rapidjson-dev libfmt-dev libhdf5-dev libboost-dev

CentOS/RedHat ¶

sudo yum install cmake gcc-c++ zeromq-devel rapidjson-devel \
fmt-devel hdf5-devel boost-devel

cppTango ¶

Install prebuilt package ¶

Follow the original cppTango manual for Ubuntu. There is only option to build it from source.

Install from source ¶

Install omniORB ¶

Download the omniORB minimal version 4.3.2 from the sourceforge.

Unpack and install:

tar xjvf omniORB.tar.bz2 && cd omniORB-4.3.2
./configure
make -j
sudo make install

Install tango-idl ¶

Checkout the source repository and install:

git clone --depth 1 --branch 6.0.2 \
https://gitlab.com/tango-controls/tango-idl.git
cd tango-idl
cmake -B build
cmake --build build -j
sudo cmake --install build

Install cppTango ¶

Checkout the source repository and install:

git clone --recurse-submodules --depth 1 --branch 9.5.0 \
https://gitlab.com/tango-controls/cppTango.git
cd cppTango
cmake -B build -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTING=OFF \
-DTANGO_USE_JPEG=OFF -DTANGO_USE_TELEMETRY=OFF
cmake --build build -j
sudo cmake --install build

Follow the original Tango manual for CentOS. You can either install a pre-built package from MAX-IV repository or build it from source as well.

slsDetectorPackage ¶

Install the required dependencies of slsDetectorPackage libraries and build the package from sources:

# clone the library
git clone --depth 1 --branch 8.0.1 \
https://github.com/slsdetectorgroup/slsDetectorPackage.git
cd slsDetectorGroup
# maybe you can also set -DSLS_USE_DETECTOR=OFF and
# -DSLS_USE_RECEIVER=OFF if somehow you have to save space
cmake -B build -DSLS_DEVEL_HEADERS=ON -DSLS_USE_MOENCH=ON
# build the library
cmake --build build -j
# install the library (requires write access to /usr/lib etc)
sudo cmake --install build

CUDA (optional)¶

Follow the original CUDA manual for your platform.

Package installation ¶

git clone https://github.com/lrlunin/tango-moench.git
cd tango-moench
# configure the build files, use Release type for best performance
cmake -B build -DCMAKE_BUILD_TYPE=Release
# build the library
cmake --build build -j
# install the library (requires write access to /usr/lib etc)
sudo cmake --install build