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A conda-smithy repository for numexpr.

License: BSD 3-Clause "New" or "Revised" License

Python 24.68% Batchfile 32.32% Shell 42.99%

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ocefpaf conda-forge-admin scopatz lexual jreback anacondarecipes djkirkham regro-cf-autotick-bot jjhelmus ericpre erykoff apmorton anaconda-community sanurielf metab0t

numexpr-feedstock's Issues

Intel SSSE3 error

numexpr 2.6.1 np111py35_0 conda-forge

We are hitting an error trying to use numexpr installed via conda on different nodes in our compute cluster. On AMD64 nodes all is good but on Intel Xeon E5-2660 nodes we get the following error:

[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
Core was generated by `/home/hidden/exec/miniconda3/envs/selection_alt/bin/python /home/hidden/git/xpclr/bin'.

Program terminated with signal 11, Segmentation fault.

0 __memmove_ssse3_back () at ../sysdeps/x86_64/multiarch/memcpy-ssse3-back.S:1991

1991 ../sysdeps/x86_64/multiarch/memcpy-ssse3-back.S: No such file or directory.
(gdb) bt

0 __memmove_ssse3_back () at ../sysdeps/x86_64/multiarch/memcpy-ssse3-back.S:1991

1 0x00002afdf857098c in th_worker (tidptr=) at numexpr/module.cpp:92

2 0x00002afdf3cfde9a in start_thread (arg=0x2afe4682e700) at pthread_create.c:308

3 0x00002afdf491136d in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112

4 0x0000000000000000 in ?? ()

We can work around this easily so please do not spend any time on this if it doesn't look like a quick fix, but thought I would report in case it's useful to know. Please feel free to close the issue if this is not a quick fix.

cc @hardingnj.

(C & P issue from: pydata/numexpr#225)

via @alimanfoo

@conda-forge-admin rerender

Additional comment:

No response

Python 3.5 is failing on Windows

This was passing on staged-recipes but failed here 😒

LINK : fatal error LNK1181: cannot open input file 'Files.obj'
error: Command "C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\amd64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:C:\conda\envs\_build\libs /LIBPATH:C:\conda\envs\_build\PCbuild\amd64 /LIBPATH:C:\conda\envs\_build\Library\lib /LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\LIB\amd64 /LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\ATLMFC\LIB\amd64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.14393.0\ucrt\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\lib\um\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.14393.0\um\x64 /EXPORT:PyInit_interpreter build\temp.win-amd64-3.5\Release\numexpr\win32\pthread.obj build\temp.win-amd64-3.5\Release\numexpr\interpreter.obj build\temp.win-amd64-3.5\Release\numexpr\module.obj build\temp.win-amd64-3.5\Release\numexpr\numexpr_object.obj /OUT:build\lib.win-amd64-3.5\numexpr\interpreter.cp35-win_amd64.pyd /IMPLIB:build\temp.win-amd64-3.5\Release\numexpr\win32\interpreter.cp35-win_amd64.lib" failed with exit status 1181
Command failed: C:\windows\system32\cmd.exe /c bld.bat
Command exited with code 1

I will investigate this tomorrow but I appreciate any pointer from our Windows experts (@msarahan, @patricksnape, and @gillins 😬)

Full log at:
https://ci.appveyor.com/project/conda-forge/numexpr-feedstock/branch/master/job/wqma7l2ut58hd85s

Support mkl 2023

Solution to issue cannot be found in the documentation.

I checked the documentation.

Issue

The more recent (i.e. newer than 2.7.3, which has a version that does not need mkl) versions of numexpr on conda-forge currently do not support mkl 2023, which is now available.

Installed packages

N/A

Environment info

N/A

Added nomkl package installation causes issues with pytorch downstream

Solution to issue cannot be found in the documentation.

I checked the documentation.

Issue

@isuruf

numexpr now installs nomkl by default, which can cause problems with downstream packages that are mkl-only.

Installing pytorch after numexpr fails with

Encountered problems while solving:
  - package pytorch-1.6.0-cuda100py39h2b73809_1 requires mkl >=2020.4,<2021.0a0, but none of the providers can be installed

Reproducer Dockerfile:

FROM centos:centos7
ARG MAMBAFORGE=https://github.com/conda-forge/miniforge/releases/download/4.11.0-4/Mambaforge-Linux-x86_64.sh
RUN curl -sSL $MAMBAFORGE -o /tmp/mambaforge.sh && bash /tmp/mambaforge.sh -bfp /usr/local
RUN mamba install --yes numexpr
RUN mamba install --yes pytorch

Installed packages

_libgcc_mutex             0.1                 conda_forge    conda-forge
_openmp_mutex             4.5                       1_gnu    conda-forge
brotlipy                  0.7.0           py39h3811e60_1003    conda-forge
bzip2                     1.0.8                h7f98852_4    conda-forge
c-ares                    1.18.1               h7f98852_0    conda-forge
ca-certificates           2021.10.8            ha878542_0    conda-forge
certifi                   2021.10.8        py39hf3d152e_1    conda-forge
cffi                      1.15.0           py39h4bc2ebd_0    conda-forge
charset-normalizer        2.0.12             pyhd8ed1ab_0    conda-forge
colorama                  0.4.4              pyh9f0ad1d_0    conda-forge
conda                     4.11.0           py39hf3d152e_0    conda-forge
conda-package-handling    1.7.3            py39h3811e60_1    conda-forge
cryptography              36.0.1           py39h95dcef6_0    conda-forge
icu                       69.1                 h9c3ff4c_0    conda-forge
idna                      3.3                pyhd8ed1ab_0    conda-forge
krb5                      1.19.2               hcc1bbae_3    conda-forge
ld_impl_linux-64          2.36.1               hea4e1c9_2    conda-forge
libarchive                3.5.2                hccf745f_1    conda-forge
libblas                   3.9.0           13_linux64_openblas    conda-forge
libcblas                  3.9.0           13_linux64_openblas    conda-forge
libcurl                   7.81.0               h2574ce0_0    conda-forge
libedit                   3.1.20191231         he28a2e2_2    conda-forge
libev                     4.33                 h516909a_1    conda-forge
libffi                    3.4.2                h7f98852_5    conda-forge
libgcc-ng                 11.2.0              h1d223b6_12    conda-forge
libgfortran-ng            11.2.0              h69a702a_14    conda-forge
libgfortran5              11.2.0              h5c6108e_14    conda-forge
libgomp                   11.2.0              h1d223b6_12    conda-forge
libiconv                  1.16                 h516909a_0    conda-forge
liblapack                 3.9.0           13_linux64_openblas    conda-forge
libmamba                  0.21.2               h3985d26_0    conda-forge
libmambapy                0.21.2           py39h8bfa403_0    conda-forge
libnghttp2                1.47.0               h727a467_0    conda-forge
libnsl                    2.0.0                h7f98852_0    conda-forge
libopenblas               0.3.18          pthreads_h8fe5266_0    conda-forge
libsolv                   0.7.19               h780b84a_5    conda-forge
libssh2                   1.10.0               ha56f1ee_2    conda-forge
libstdcxx-ng              11.2.0              he4da1e4_12    conda-forge
libuuid                   2.32.1            h7f98852_1000    conda-forge
libxml2                   2.9.12               h885dcf4_1    conda-forge
libzlib                   1.2.11            h36c2ea0_1013    conda-forge
lz4-c                     1.9.3                h9c3ff4c_1    conda-forge
lzo                       2.10              h516909a_1000    conda-forge
mamba                     0.21.2           py39hfa8f2c8_0    conda-forge
ncurses                   6.3                  h9c3ff4c_0    conda-forge
nomkl                     1.0                  h5ca1d4c_0    conda-forge
numexpr                   2.8.0           py39hbd72853_101    conda-forge
numpy                     1.22.3           py39h18676bf_0    conda-forge
openssl                   1.1.1l               h7f98852_0    conda-forge
pip                       22.0.3             pyhd8ed1ab_0    conda-forge
pybind11-abi              4                    hd8ed1ab_3    conda-forge
pycosat                   0.6.3           py39h3811e60_1009    conda-forge
pycparser                 2.21               pyhd8ed1ab_0    conda-forge
pyopenssl                 22.0.0             pyhd8ed1ab_0    conda-forge
pysocks                   1.7.1            py39hf3d152e_4    conda-forge
python                    3.9.10          h85951f9_2_cpython    conda-forge
python_abi                3.9                      2_cp39    conda-forge
readline                  8.1                  h46c0cb4_0    conda-forge
reproc                    14.2.3               h7f98852_0    conda-forge
reproc-cpp                14.2.3               h9c3ff4c_0    conda-forge
requests                  2.27.1             pyhd8ed1ab_0    conda-forge
ruamel_yaml               0.15.80         py39h3811e60_1006    conda-forge
setuptools                60.9.3           py39hf3d152e_0    conda-forge
six                       1.16.0             pyh6c4a22f_0    conda-forge
sqlite                    3.37.0               h9cd32fc_0    conda-forge
tk                        8.6.12               h27826a3_0    conda-forge
tqdm                      4.62.3             pyhd8ed1ab_0    conda-forge
tzdata                    2021e                he74cb21_0    conda-forge
urllib3                   1.26.8             pyhd8ed1ab_1    conda-forge
wheel                     0.37.1             pyhd8ed1ab_0    conda-forge
xz                        5.2.5                h516909a_1    conda-forge
yaml                      0.2.5                h7f98852_2    conda-forge
yaml-cpp                  0.6.3                he1b5a44_4    conda-forge
zlib                      1.2.11            h36c2ea0_1013    conda-forge
zstd                      1.5.2                ha95c52a_0    conda-forge

Environment info

active environment : None
       user config file : /root/.condarc
 populated config files : /usr/local/.condarc
          conda version : 4.11.0
    conda-build version : not installed
         python version : 3.9.10.final.0
       virtual packages : __linux=3.10.0=0
                          __glibc=2.17=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment : /usr/local  (writable)
      conda av data dir : /usr/local/etc/conda
  conda av metadata url : None
           channel URLs : https://conda.anaconda.org/conda-forge/linux-64
                          https://conda.anaconda.org/conda-forge/noarch
          package cache : /usr/local/pkgs
                          /root/.conda/pkgs
       envs directories : /usr/local/envs
                          /root/.conda/envs
               platform : linux-64
             user-agent : conda/4.11.0 requests/2.27.1 CPython/3.9.10 Linux/3.10.0-1160.41.1.el7.x86_64 centos/7.9.2009 glibc/2.17
                UID:GID : 0:0
             netrc file : None
           offline mode : False

Unpin MKL < 2024

Comment:

MKL 2024 is out, but numexpr package is pinning its version to below 2024. Would it be possible to ship it without this upper bound constraint?

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