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Add config for ubuntu 22.04
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‎configs/ubuntu-22.04-venv‎

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# OS type (linux OR osx)
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OSTYPE = linux
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# Specify the template to use
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TEMPLATE = linux
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# Python version to use
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PYVERSION = auto
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# Packages to install with pip
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PIP_PKGS = setuptools future six Cython cycler kiwisolver pyparsing python-dateutil toml pyyaml pkgconfig pytz psutil numpy scipy matplotlib pandas memory_profiler astropy ephem ipython numba cmake nbstripout black wurlitzer ipympl ipykernel jupyterlab pillow pshmem tomlkit traitlets fitsio healpy ducc0
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# Packages to install with conda
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CONDA_PKGS =
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# Serial compilers
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CC = gcc
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CXX = g++
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FC = gfortran
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# Compiler to use for packages needed on the build machine
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BUILD_CC = gcc
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BUILD_CXX = g++
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# MPI compilers
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MPICC = mpicc
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MPICXX = mpicxx
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MPIFC = mpifort
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MPI_CPPFLAGS = /usr/include
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MPI_LDFLAGS = /usr/lib/x86_64-linux-gnu
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MPI_CXXLIB = mpi_cxx
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MPI_LIB = mpi
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MPI_EXTRA_COMP =
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MPI_EXTRA_LINK =
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# Compile flags
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CFLAGS = -O3 -fPIC -pthread
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CXXFLAGS = -O3 -fPIC -pthread -std=c++11
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FCFLAGS = -O3 -fPIC -pthread -fallow-argument-mismatch
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OPENMP_CFLAGS = -fopenmp
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OPENMP_CXXFLAGS = -fopenmp
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LDFLAGS = -lpthread -fopenmp
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# Are we doing a cross-compile?
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CROSS =
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# Parallel builds
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MAKEJ = 2
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# Define MKL location
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MKL =
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# For BLAS/LAPACK, we use openblas
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BLAS = -lopenblas -fopenmp -lm
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LAPACK = -llapack
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# Boost toolchain name
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BOOSTCHAIN = gcc
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# Group and permissions to set
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CHGRP =
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CHMOD =

‎configs/ubuntu-22.04-venv.notes‎

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# Before running the install, run these commands once
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# to get dependencies from OS packages.
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apt update
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apt install \
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build-essential \
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gfortran \
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python3-dev \
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python3-pip \
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python3-virtualenv \
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virtualenv \
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cmake \
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pkg-config \
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curl \
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m4 \
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libtool \
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autoconf \
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automake \
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zlib1g-dev \
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libopenblas-dev \
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liblapack-dev \
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libboost-all-dev \
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libcfitsio-dev \
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libfftw3-dev \
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libflac-dev \
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libsuitesparse-dev

‎configs/ubuntu-22.04-venv.pkgs‎

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# This is the full set of packages that can be installed. This can be
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# used as a starting point for the package list for a particular config.
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# Some packages accept additional options which can be added after a colon ":".
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# These extra options are documented in the shell snippet for each package
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# in the top-level pkgs directory.
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#
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# Autotools. If you already have recent versions installed with your OS
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# package manager, then comment these out.
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#m4
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#libtool
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#autoconf
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#automake
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#
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# CMake.
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#cmake
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#
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# Install zlib. This is needed on some systems where the OS-provided zlib is
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# very ancient.
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#zlib
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#
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# Install OpenBLAS. Comment out if you are using MKL with the Intel compilers
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# or some other vendor BLAS / LAPACK solution.
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#openblas
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#
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# Python 3. Uncomment one of the following lines. You should only use the
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# "default" option for Docker images. All other configs should use either
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# a virtualenv or a conda environment. This will also install a set of
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# common base packages.
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python:virtualenv
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#python:conda
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#python:default
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#
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# Install MPICH. This step is optional and only needed in 2 cases:
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# 1. You don't have MPI available through system packages that is
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# compatible with the serial compilers you are using.
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# 2. You are building a docker container for use at NERSC with shifter
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# and need an MPICH compatible with the Cray one.
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#mpich
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#
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# Install mpi4py. This will use the MPI compilers specified in your config.
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mpi4py
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#
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# Install CFITSIO.
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#cfitsio
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#
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# Install FFTW3.
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fftw
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#
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# Install pyFFTW
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pyfftw
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#
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# Install libbz2. This is required to enable some features in the boost
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# build which are in turn needed by spt3g.
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#bzip2
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#
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# Install Boost.
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#boost
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#
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# Install HDF5 (serial version).
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hdf5
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#
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# Install h5py (using our HDF5).
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h5py
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#
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# Install healpy
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#healpy
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#
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# Install quaternionarray
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qarray
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#
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# Install Pixell
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pixell
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#
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# Install fitsio
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#fitsio
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#
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# Install aatm. Needed for some features of atmosphere simulations.
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aatm
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#
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# GMP and MPFR are needed by SuiteSparse
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#gmp
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#mpfr
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#
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# Install suitesparse
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#suitesparse
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#
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# Install libconviqt. 4-PI a_lm space beam convolution.
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conviqt
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#
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# Install libsharp. Distributed harmonic transforms.
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libsharp
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#
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# Install libmadam. Destriping map-maker.
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madam:--with-cfitsio=/usr --with-fftw=/usr
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#
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# Install FLAC, needed by spt3g
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#libflac
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#
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# Install SPT3G. Frame based data format.
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spt3g:boost=/usr flaclib=/usr/lib/x86_64-linux-gnu/libFLAC.so
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#
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# Install uncrustify
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uncrustify
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#
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# Install TIDAS. HDF5-based timestream data format.
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tidas
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#
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# Install PySM. Python Sky Model.
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pysm
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#
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# Install PyMPIT for environment testing. Useful for testing working
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# mpi4py stack.
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pympit
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#
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# Install TOAST.
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toast:lapack=/usr/lib/x86_64-linux-gnu/liblapack.so blas=/usr/lib/x86_64-linux-gnu/libopenblas.so

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