Docker image won't build on Ubuntu 16.04, returns build error while building fann2

[keesvanbochove]

Got the following error when building the image (Docker version 17.06.1-ce on Ubuntu 16.04):

    building 'fann2._libfann' extension
    creating build/temp.linux-x86_64-2.7
    creating build/temp.linux-x86_64-2.7/fann2
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -DSWIG_COMPILE -I./include -I../include -Iinclude -I/usr/include/python2.7 -c fann2/fann2_wrap.cxx -o build/temp.linux-x86_64-2.7/fann2/fann2_wrap.o
    cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++
    c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/fann2/fann2_wrap.o -ldoublefann -o build/lib.linux-x86_64-2.7/fann2/_libfann.so
    /usr/bin/ld: cannot find -ldoublefann
    collect2: error: ld returned 1 exit status
    error: command 'c++' failed with exit status 1

    ----------------------------------------
Command "/usr/bin/python -c "import setuptools, tokenize;__file__='/tmp/pip-build-I9cX5u/fann2/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-NFode6-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-I9cX5u/fann2
You are using pip version 7.1.2, however version 9.0.1 is available.

[btotharye]

Yea I think they just snuck this in on me before I got the image done, I'll get it fixed.

[keesvanbochove]

Looks like I already have a solution for that one in the meantime, I'll make a pull request.

[btotharye]

great thanks