hi Joel.

Please find attached full log for 'pip install --editable .'

*Are you sure you want to build from source?*
*[Well, I'm trying the development version, since I'd like to help fix
bugs. Wait, so you mean we are experiencing issue with source install. Oh
man!. if Yes, then can you please suggest some other method. **(i mean
apart from stable install) OR is it ok to go for stable install? ]*

Thanks

On Sat, Dec 2, 2017 at 5:00 PM, Joel Nothman <joel.noth...@gmail.com> wrote:

> There's not enough information there for us to help you. Please provide
> the full log if possible. Are you sure you want to build from source?
>
> On 2 December 2017 at 08:05, Aniket Meshram <aniket.g.mesh...@gmail.com>
> wrote:
>
>> hi,
>>
>> I'm following the 'ways to contribute page'
>>
>> After forking and cloning, I ran the command 'python setup.py build_ext
>> --inplace'
>> which is giving me the following error:
>>
>> cc1: some warnings being treated as errors
>> error: Command "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 
>> -I/usr/lib/python2.7/dist-packages/numpy/core/include
>> -I/usr/lib/python2.7/dist-packages/numpy/core/include
>> -I/usr/include/python2.7 -c sklearn/neighbors/quad_tree.c -o
>> build/temp.linux-x86_64-2.7/sklearn/neighbors/quad_tree.o" failed with
>> exit status 1
>>
>> AnnGM
>>
>> _______________________________________________
>> scikit-learn mailing list
>> scikit-learn@python.org
>> https://mail.python.org/mailman/listinfo/scikit-learn
>>
>>
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn@python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
>


-- 
Regards,

Aniket G. Meshram
sumedh@sumedh-Inspiron-N4010:scikit-learn $ sudo -H pip install --editable .
Obtaining 
file:///home/sumedh/Downloads/Programming/OpenSourceContributions/scikit-learn
Installing collected packages: scikit-learn
  Running setup.py develop for scikit-learn
    Complete output from command /usr/bin/python -c "import setuptools, 
tokenize;__file__='/home/sumedh/Downloads/Programming/OpenSourceContributions/scikit-learn/setup.py';f=getattr(tokenize,
 'open', open)(__file__);code=f.read().replace('\r\n', 
'\n');f.close();exec(compile(code, __file__, 'exec'))" develop --no-deps:
    Partial import of sklearn during the build process.
    blas_opt_info:
    blas_mkl_info:
      libraries mkl,vml,guide not found in ['/usr/local/lib', '/usr/lib', 
'/usr/lib/x86_64-linux-gnu']
      NOT AVAILABLE
    
    openblas_info:
      libraries openblas not found in ['/usr/local/lib', '/usr/lib', 
'/usr/lib/x86_64-linux-gnu']
      NOT AVAILABLE
    
    atlas_3_10_blas_threads_info:
    Setting PTATLAS=ATLAS
      libraries tatlas not found in ['/usr/local/lib', '/usr/lib', 
'/usr/lib/x86_64-linux-gnu']
      NOT AVAILABLE
    
    atlas_3_10_blas_info:
      libraries satlas not found in ['/usr/local/lib', '/usr/lib', 
'/usr/lib/x86_64-linux-gnu']
      NOT AVAILABLE
    
    atlas_blas_threads_info:
    Setting PTATLAS=ATLAS
      libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', 
'/usr/lib', '/usr/lib/x86_64-linux-gnu']
      NOT AVAILABLE
    
    atlas_blas_info:
      libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', 
'/usr/lib/x86_64-linux-gnu']
      NOT AVAILABLE
    
    /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1640: 
UserWarning:
        Atlas (http://math-atlas.sourceforge.net/) libraries not found.
        Directories to search for the libraries can be specified in the
        numpy/distutils/site.cfg file (section [atlas]) or by setting
        the ATLAS environment variable.
      warnings.warn(AtlasNotFoundError.__doc__)
    blas_info:
      libraries blas not found in ['/usr/local/lib', '/usr/lib', 
'/usr/lib/x86_64-linux-gnu']
      NOT AVAILABLE
    
    /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1649: 
UserWarning:
        Blas (http://www.netlib.org/blas/) libraries not found.
        Directories to search for the libraries can be specified in the
        numpy/distutils/site.cfg file (section [blas]) or by setting
        the BLAS environment variable.
      warnings.warn(BlasNotFoundError.__doc__)
    blas_src_info:
      NOT AVAILABLE
    
    /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1652: 
UserWarning:
        Blas (http://www.netlib.org/blas/) sources not found.
        Directories to search for the sources can be specified in the
        numpy/distutils/site.cfg file (section [blas_src]) or by setting
        the BLAS_SRC environment variable.
      warnings.warn(BlasSrcNotFoundError.__doc__)
      NOT AVAILABLE
    
    sklearn/setup.py:72: UserWarning:
        Blas (http://www.netlib.org/blas/) libraries not found.
        Directories to search for the libraries can be specified in the
        numpy/distutils/site.cfg file (section [blas]) or by setting
        the BLAS environment variable.
      warnings.warn(BlasNotFoundError.__doc__)
    missing cimport in module 'sklearn.neighbors': 
sklearn/manifold/_barnes_hut_tsne.pyx
    running develop
    running build_scripts
    running egg_info
    running build_src
    build_src
    building library "libsvm-skl" sources
    building library "cblas" sources
    building extension "sklearn.__check_build._check_build" sources
    building extension "sklearn.cluster._dbscan_inner" sources
    building extension "sklearn.cluster._hierarchical" sources
    building extension "sklearn.cluster._k_means_elkan" sources
    building extension "sklearn.cluster._k_means" sources
    building extension "sklearn.datasets._svmlight_format" sources
    building extension "sklearn.decomposition._online_lda" sources
    building extension "sklearn.decomposition.cdnmf_fast" sources
    building extension "sklearn.ensemble._gradient_boosting" sources
    building extension "sklearn.feature_extraction._hashing" sources
    building extension "sklearn.manifold._utils" sources
    building extension "sklearn.manifold._barnes_hut_tsne" sources
    building extension "sklearn.metrics.pairwise_fast" sources
    building extension "sklearn.metrics/cluster.expected_mutual_info_fast" 
sources
    building extension "sklearn.neighbors.ball_tree" sources
    building extension "sklearn.neighbors.kd_tree" sources
    building extension "sklearn.neighbors.dist_metrics" sources
    building extension "sklearn.neighbors.typedefs" sources
    building extension "sklearn.neighbors.quad_tree" sources
    building extension "sklearn.tree._tree" sources
    building extension "sklearn.tree._splitter" sources
    building extension "sklearn.tree._criterion" sources
    building extension "sklearn.tree._utils" sources
    building extension "sklearn.svm.libsvm" sources
    building extension "sklearn.svm.liblinear" sources
    building extension "sklearn.svm.libsvm_sparse" sources
    building extension "sklearn._isotonic" sources
    building extension "sklearn.linear_model.cd_fast" sources
    building extension "sklearn.linear_model.sgd_fast" sources
    building extension "sklearn.linear_model.sag_fast" sources
    building extension "sklearn.utils.sparsefuncs_fast" sources
    building extension "sklearn.utils.arrayfuncs" sources
    building extension "sklearn.utils.murmurhash" sources
    building extension "sklearn.utils.lgamma" sources
    building extension "sklearn.utils.graph_shortest_path" sources
    building extension "sklearn.utils.fast_dict" sources
    building extension "sklearn.utils.seq_dataset" sources
    building extension "sklearn.utils.weight_vector" sources
    building extension "sklearn.utils._random" sources
    building extension "sklearn.utils._logistic_sigmoid" sources
    building data_files sources
    build_src: building npy-pkg config files
    writing requirements to scikit_learn.egg-info/requires.txt
    writing scikit_learn.egg-info/PKG-INFO
    writing top-level names to scikit_learn.egg-info/top_level.txt
    writing dependency_links to scikit_learn.egg-info/dependency_links.txt
    warning: manifest_maker: standard file '-c' not found
    
    reading manifest file 'scikit_learn.egg-info/SOURCES.txt'
    reading manifest template 'MANIFEST.in'
    writing manifest file 'scikit_learn.egg-info/SOURCES.txt'
    running build_ext
    customize UnixCCompiler
    customize UnixCCompiler using build_clib
    customize UnixCCompiler
    customize UnixCCompiler using build_ext
    customize UnixCCompiler
    customize UnixCCompiler using build_ext
    building 'sklearn.neighbors.quad_tree' extension
    compiling C sources
    C compiler: 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
    
    compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include 
-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 
-I/usr/include/python2.7 -c'
    x86_64-linux-gnu-gcc: sklearn/neighbors/quad_tree.c
    In file included from 
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                     from 
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                     from 
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                     from sklearn/neighbors/quad_tree.c:259:
    
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2:
 warning: #warning "Using deprecated NumPy API, disable it by " "#defining 
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
     #warning "Using deprecated NumPy API, disable it by " \
      ^
    sklearn/neighbors/quad_tree.c:2365:1: warning: function declaration isn’t a 
prototype [-Wstrict-prototypes]
     static PyObject 
*__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize(); /* 
proto */
     ^
    sklearn/neighbors/quad_tree.c: In function 
‘__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree_insert_point’:
    sklearn/neighbors/quad_tree.c:3523:14: error: format not a string literal 
and no format arguments [-Werror=format-security]
           printf(__pyx_k_QuadTree_found_a_duplicate);
                  ^
    sklearn/neighbors/quad_tree.c: In function 
‘__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray’:
    sklearn/neighbors/quad_tree.c:6584:36: warning: passing argument 1 of 
‘(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int,  npy_intp *, npy_intp *, 
void *, int,  PyObject *))*(PyArray_API + 752u)’ from incompatible pointer type 
[-Wincompatible-pointer-types]
       __pyx_t_2 = PyArray_NewFromDescr(((PyObject 
*)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, 
__pyx_v_strides, ((void *)__pyx_v_self->cells), NPY_DEFAULT, Py_None); if 
(unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 574; 
__pyx_clineno = __LINE__; goto __pyx_L1_error;}
                                        ^
    sklearn/neighbors/quad_tree.c:6584:36: note: expected ‘PyTypeObject * {aka 
struct _typeobject *}’ but argument is of type ‘PyObject * {aka struct _object 
*}’
    sklearn/neighbors/quad_tree.c: At top level:
    sklearn/neighbors/quad_tree.c:7015:18: warning: function declaration isn’t 
a prototype [-Wstrict-prototypes]
     static PyObject 
*__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize() {
                      ^
    cc1: some warnings being treated as errors
    In file included from 
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                     from 
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                     from 
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                     from sklearn/neighbors/quad_tree.c:259:
    
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2:
 warning: #warning "Using deprecated NumPy API, disable it by " "#defining 
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
     #warning "Using deprecated NumPy API, disable it by " \
      ^
    sklearn/neighbors/quad_tree.c:2365:1: warning: function declaration isn’t a 
prototype [-Wstrict-prototypes]
     static PyObject 
*__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize(); /* 
proto */
     ^
    sklearn/neighbors/quad_tree.c: In function 
‘__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree_insert_point’:
    sklearn/neighbors/quad_tree.c:3523:14: error: format not a string literal 
and no format arguments [-Werror=format-security]
           printf(__pyx_k_QuadTree_found_a_duplicate);
                  ^
    sklearn/neighbors/quad_tree.c: In function 
‘__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray’:
    sklearn/neighbors/quad_tree.c:6584:36: warning: passing argument 1 of 
‘(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int,  npy_intp *, npy_intp *, 
void *, int,  PyObject *))*(PyArray_API + 752u)’ from incompatible pointer type 
[-Wincompatible-pointer-types]
       __pyx_t_2 = PyArray_NewFromDescr(((PyObject 
*)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, 
__pyx_v_strides, ((void *)__pyx_v_self->cells), NPY_DEFAULT, Py_None); if 
(unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 574; 
__pyx_clineno = __LINE__; goto __pyx_L1_error;}
                                        ^
    sklearn/neighbors/quad_tree.c:6584:36: note: expected ‘PyTypeObject * {aka 
struct _typeobject *}’ but argument is of type ‘PyObject * {aka struct _object 
*}’
    sklearn/neighbors/quad_tree.c: At top level:
    sklearn/neighbors/quad_tree.c:7015:18: warning: function declaration isn’t 
a prototype [-Wstrict-prototypes]
     static PyObject 
*__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize() {
                      ^
    cc1: some warnings being treated as errors
    error: Command "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 
-I/usr/lib/python2.7/dist-packages/numpy/core/include 
-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 
-I/usr/include/python2.7 -c sklearn/neighbors/quad_tree.c -o 
build/temp.linux-x86_64-2.7/sklearn/neighbors/quad_tree.o" failed with exit 
status 1
    
    ----------------------------------------
Command "/usr/bin/python -c "import setuptools, 
tokenize;__file__='/home/sumedh/Downloads/Programming/OpenSourceContributions/scikit-learn/setup.py';f=getattr(tokenize,
 'open', open)(__file__);code=f.read().replace('\r\n', 
'\n');f.close();exec(compile(code, __file__, 'exec'))" develop --no-deps" 
failed with error code 1 in 
/home/sumedh/Downloads/Programming/OpenSourceContributions/scikit-learn/
sumedh@sumedh-Inspiron-N4010:scikit-learn $ 

_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn

Reply via email to