Cannot Install (on Windows 7 with Python 2.7 installed)

[David Samson]

Hi all,

I'm trying to install the package using these instructions for Windows:

http://cvxopt.org/install/index.html

I'm running Windows 7 and have Python 2.7 installed as part of the Anaconda distribution.

I'm literally at the final step where I run the build statement (python setup.py build --compiler=mingw32) after having installed MinGW, compiled BLAS and LAPACK, unpacked CVXOPT, made the necessary file movements, altered the "setup.py" file, and made the necessary changes to the "cygwinccompiler.py" file in my Anaconda directory.

Command prompt is giving me this error:

C:\Users\David\Desktop\cvxopt-1.1.8>python setup.py build --compiler=mingw32

running build

running build_py

running build_ext

building 'base' extension

c:\MinGW\bin\gcc.exe -DMS_WIN64 -mdll -O -Wall -IC:\Users\David\Anaconda\include

 -IC:\Users\David\Anaconda\PC -c src/C/base.c -o build\temp.win-amd64-2.7\Releas

e\src\c\base.o

c:\MinGW\bin\gcc.exe -DMS_WIN64 -mdll -O -Wall -IC:\Users\David\Anaconda\include

 -IC:\Users\David\Anaconda\PC -c src/C/dense.c -o build\temp.win-amd64-2.7\Relea

se\src\c\dense.o

c:\MinGW\bin\gcc.exe -DMS_WIN64 -mdll -O -Wall -IC:\Users\David\Anaconda\include

 -IC:\Users\David\Anaconda\PC -c src/C/sparse.c -o build\temp.win-amd64-2.7\Rele

ase\src\c\sparse.o

src/C/sparse.c: In function 'sparse_concat':

src/C/sparse.c:368:30: warning: variable 'blk_ncols' set but not used [-Wunused-

but-set-variable]

         int_t blk_nrows = 0, blk_ncols = 0;

                              ^

writing build\temp.win-amd64-2.7\Release\src\c\base.def

c:\MinGW\bin\gcc.exe -DMS_WIN64 -shared -s build\temp.win-amd64-2.7\Release\src\

c\base.o build\temp.win-amd64-2.7\Release\src\c\dense.o build\temp.win-amd64-2.7

\Release\src\c\sparse.o build\temp.win-amd64-2.7\Release\src\c\base.def -L. -LC:

\Users\David\Anaconda\libs -LC:\Users\David\Anaconda\PCbuild\amd64 -lm -llapack

-lblas -lgfortran -lpython27 -lmsvcr90 -o build\lib.win-amd64-2.7\cvxopt\base.py

d

c:/mingw/bin/../lib/gcc/mingw32/4.8.1/../../../../mingw32/bin/ld.exe: cannot fin

d -llapack

c:/mingw/bin/../lib/gcc/mingw32/4.8.1/../../../../mingw32/bin/ld.exe: cannot fin

d -lblas

collect2.exe: error: ld returned 1 exit status

error: command 'c:\\MinGW\\bin\\gcc.exe' failed with exit status 1

-------------------------------------------------------------------------------------------------------------------------

Any thoughts?

Thanks,

David

[Martin]

Did you copy libblas.a and liblapack.a to the src directory and edit the setup script? For some reason the compiler does not add the correct linker flags.

[Hantao Cui]

Hi Martin,

There might be a typo on the Installation Instruction. 

As instructed, copy libblas.a and liblapack.a to src directory, then in setup.py set the variable BLAS_LIB_DIR in setup.py to BLAS_LIB_DIR = ‘src’. It's BLAS_LIB_DIR = ‘.’ on the Instruction page.

I've successfully compiled it against Python 3.4 32bit version with the path fixed, using MinGW and MSYS.

Regards,

Hantao

[Martin]

You're right, thanks for pointing this out! 

[hrishabh upadhyay]

I am also facing the same problem on setup.py  

If anyone can help ?

[Martin]

Have you tried editing BLAS_LIB_DIR in setup.py? It should be the directory in which you have the BLAS and LAPACK libraries. 

[Ek Esawi]

Hi--

I ran into the same problem a few weeks ago. Keep in mind that i installed cvxopt on windows 7 for python 3.43. The posting i found that helped me greatly and efficiently is included at the end of this message.  Make sure to avoid the mistake i made; that's use the last commons[(e. g. "conda install -c https://conda.binstar.org/omnia cvxopt")] on CMD not on python interpreter..

Best of luck.

EKE

If you are using Windows, an easy solution could be the Anaconda distribution (http://continuum.io/downloads). Select and install the 32 bit version. It will be easier to install the cvxopt package. Search it in the binstar repository (https://binstar.org/search?q=cvxopt). Open a console terminal and install it (e. g. "conda install -c https://conda.binstar.org/omnia cvxopt"). After that, just use it.