In case it helps, I was able to build the graph-tool v2.20 conda package successfully using the recipe I put in this repo: https://gitlab.com/conda-forgery/graph-tool. I uploaded the package to the conda-forgery anaconda channel: https://anaconda.org/conda-forgery/graph-tool.

You can find the conda recipe in the recipe folder and commands required to build the package in the .gitlab-ci.yml file. The package is built using the same linux-anvil docker container that is used to build conda-forge packages. Most of the dependencies are available in the conda-forge channel, but you also need to add the conda-forgery channel (I should probably come up with a better name) in order to install pycairo.

Note that this builds graph-tool without graphics support. Graphis support requires too many dependencies that I had difficulty compiling from source.

On Tue, Feb 28, 2017 at 1:12 PM, P-M <pmj27@cam.ac.uk> wrote:

I have updated cgal to 4.7 so that now works and after applying the
libreadline workaround it compiles and installs but I still get C++
signature mismatches.

I have ripped off Anaconda entirely, re-installed it, installed the latest
Boost in it using only one source to make sure all packages are compatible
(conda-forge). Running "./configure --prefix=$HOME/.local CXX="g++-5"
CXXFLAGS="-std=gnu++14 -Wno-unused-local-typedefs"
PYTHON="/home/pmj27/anaconda2/bin/python2.7"
CPPFLAGS="-I/home/pmj27/anaconda2/include"
LDFLAGS="-L/home/pmj27/anaconda2/lib" --enable-openmp" seems to work and
completes succesfully, however, the configuration summary prints "Boost CPP
flags: -I/usr/include" which is not what I want and which I guess is causing
my later problems?
================================================================================
CONFIGURATION SUMMARY
================================================================================
Using python version: 2.7.13
Python interpreter: /home/pmj27/anaconda2/bin/python2.7
Installation path:
/home/pmj27/anaconda2/lib/python2.7/site-packages/graph_tool

C++ compiler (CXX): g++-5
C++ compiler version: 5.4.0

Prefix: /home/pmj27/.local
Pkgconfigdir: ${libdir}/pkgconfig

Python CPP flags: -I/home/pmj27/anaconda2/include/python2.7
Python LD flags: -L/home/pmj27/anaconda2/lib -lpython2.7
Boost CPP flags: -I/usr/include
Boost LD flags: -lboost_iostreams -lboost_python -lboost_regex
-lboost_coroutine
Numpy CPP flags:
-I/home/pmj27/anaconda2/lib/python2.7/site-packages/numpy/core/include
Sparsehash CPP flags:
CGAL CPP flags: -I/usr/include
CGAL LD flags: -L/usr/lib -lCGAL -lCGAL_Core -lgmp
Expat CPP flags: -I/usr/include
Expat LD flags: -L/usr/lib -lexpat
Cairomm CPP flags: -std=c++11 -I/usr/include/cairomm-1.0
-I/usr/lib/x86_64-linux-gnu/cairomm-1.0/include -I/usr/include/cairo
-I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include
-I/usr/include/pixman-1 -I/usr/include/freetype2 -I/usr/include/libpng12
-I/usr/include/sigc++-2.0 -I/usr/lib/x86_64-linux-gnu/sigc++-2.0/include
Cairomm LD flags: -lcairomm-1.0 -lcairo -lsigc-2.0
OpenMP compiler flags: -fopenmp
OpenMP LD flags:
Extra CPPFLAGS: -I/home/pmj27/anaconda2/include
Extra CXXFLAGS: -fopenmp -O3 -fvisibility=default
-fvisibility-inlines-hidden -Wno-deprecated -ftemplate-depth-250 -DNDEBUG
-Wall -Wextra -ftemplate-backtrace-limit=0 -std=gnu++14
-Wno-unused-local-typedefs
Extra LDFLAGS: -L/home/pmj27/anaconda2/lib

Using OpenMP: yes
Using sparsehash: yes
Using cairo: yes
================================================================================

Is there any way of telling why it keeps defaulting back to using the boost
in /usr/include and a way of making sure it doesn't do so? The config.log
<http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/file/n4027075/config.log>
is attached.

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