Hacktoberfest 2026: le issue che i maintainer hanno segnato per ottobre, aperte e adatte ai principianti. Sfoglia le issue Hacktoberfest

python 3.11 not using conda lib path when load modules

Aperta
  • Qualcosa non va?
#673 2 commenti 0 reazioni 0 assegnatari Vedi su GitHub

I maintainer di solito rispondono entro 1 giorno

Nessuno ha ancora preso questa issue.

Valutazione

Difficoltà
4/5
Tempo stimato
3-5 giorni
Idoneità per principianti
30/100
Tipo di issue
Bug
Chiarezza
Da chiarire
Stato di attività
Ferma
Stack tecnologico
linux, python
Ambito
build-system, operating-systems

Direzione di ricerca

Riproduci il problema con python3 -c 'import pandas;' e confrontalo con il comando che usa LD_LIBRARY_PATH, quindi esamina l’estensione pandas segnalata e il binario Python con ldd e readelf -d. Determina perché il percorso delle librerie dell’ambiente conda non viene selezionato; il lavoro è completato quando l’importazione di pandas funziona senza impostare manualmente LD_LIBRARY_PATH e vengono risolte le librerie previste.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

bug
Solution to issue cannot be found in the documentation.
  • I checked the documentation.
Issue

python3 -c 'import pandas;' failed as "ImportError: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.29' not found (required by /share/home/uuu/micromamba/envs/n311/lib/python3.11/site-packages/pandas/_libs/window/aggregations.cpython-311-x86_64-linux-gnu.so)"

LD_LIBRARY_PATH=/share/home/uuu/micromamba/envs/n311/lib python3 -c 'import pandas;' works.

(n311) [uuu@c001 test]$ echo $LD_LIBRARY_PATH

(n311) [uuu@c001 test]$ ldd /share/home/uuu/micromamba/envs/n311/lib/python3.11/site-packages/pandas/_libs/window/aggregations.cpython-311-x86_64-linux-gnu.so
        linux-vdso.so.1 (0x00007fff65a6d000)
        libstdc++.so.6 => /share/home/uuu/micromamba/envs/n311/lib/python3.11/site-packages/pandas/_libs/window/../../../../../libstdc++.so.6 (0x00007f77ec0d8000)
        libm.so.6 => /lib64/libm.so.6 (0x00007f77ebd56000)
        libgcc_s.so.1 => /share/home/uuu/micromamba/envs/n311/lib/python3.11/site-packages/pandas/_libs/window/../../../../../libgcc_s.so.1 (0x00007f77ec469000)
        libc.so.6 => /lib64/libc.so.6 (0x00007f77eb991000)
        librt.so.1 => /lib64/librt.so.1 (0x00007f77eb789000)
        /lib64/ld-linux-x86-64.so.2 (0x00007f77ec2bb000)
        libpthread.so.0 => /lib64/libpthread.so.0 (0x00007f77eb569000)

$ readelf -d /share/home/uuu/micromamba/envs/n311/lib/python3.11/site-packages/pandas/_libs/window/aggregations.cpython-311-x86_64-linux-gnu.so

Dynamic section at offset 0x50778 contains 28 entries:
  Tag        Type                         Name/Value
 0x0000000000000001 (NEEDED)             Shared library: [libstdc++.so.6]
 0x0000000000000001 (NEEDED)             Shared library: [libm.so.6]
 0x0000000000000001 (NEEDED)             Shared library: [libgcc_s.so.1]
 0x0000000000000001 (NEEDED)             Shared library: [libc.so.6]
 0x000000000000000f (RPATH)              Library rpath: [$ORIGIN/../../../../..]

$ readelf -d /share/home/uuu/micromamba/envs/n311/bin/python3

Dynamic section at offset 0x44a230 contains 34 entries:
  Tag        Type                         Name/Value
 0x0000000000000001 (NEEDED)             Shared library: [libpthread.so.0]
 0x0000000000000001 (NEEDED)             Shared library: [libdl.so.2]
 0x0000000000000001 (NEEDED)             Shared library: [libutil.so.1]
 0x0000000000000001 (NEEDED)             Shared library: [libm.so.6]
 0x0000000000000001 (NEEDED)             Shared library: [libc.so.6]
 0x0000000000000001 (NEEDED)             Shared library: [librt.so.1]
 0x000000000000000f (RPATH)              Library rpath: [$ORIGIN/../lib]

It seems rpath with $ORIGIN not working properly.

Installed packages
  python                                3.11.7           hab00c5b_1_cpython        conda-forge
  python_abi                            3.11             4_cp311                   conda-forge
  pandas                                2.0.3            py311h320fe9a_1           conda-forge
  libstdcxx-devel_linux-64              13.2.0           ha9c7c90_103              conda-forge
  libstdcxx-ng                          13.2.0           h7e041cc_3                conda-forge
  libsystemd0                           255              h3516f8a_0                conda-forge
  gcc                                   13.2.0           h574f8da_2                conda-forge
  gcc_impl_linux-64                     13.2.0           h338b0a0_3                conda-forge

... ...
Environment info
libmamba version : 1.5.5
     micromamba version : 1.5.5
           curl version : libcurl/8.5.0 OpenSSL/3.2.0 zlib/1.2.13 zstd/1.5.5 libssh2/1.11.0 nghttp2/1.58.0
     libarchive version : libarchive 3.7.2 zlib/1.2.13 bz2lib/1.0.8 libzstd/1.5.5
       envs directories : /share/home/uuu/micromamba/envs
          package cache : /share/home/uuu/micromamba/pkgs
                          /share/home/uuu/.mamba/pkgs
            environment : n311 (active)
           env location : /share/home/uuu/micromamba/envs/n311
      user config files : /share/home/uuu/.mambarc
 populated config files : /share/home/uuu/.condarc
       virtual packages : __unix=0=0
                          __linux=4.18.0=0
                          __glibc=2.28=0
                          __archspec=1=x86_64-v4
               channels : https://conda.anaconda.org/conda-forge/linux-64
                          https://conda.anaconda.org/conda-forge/noarch
                          https://conda.anaconda.org/bioconda/linux-64
                          https://conda.anaconda.org/bioconda/noarch
                          https://conda.anaconda.org/nodefaults/linux-64
                          https://conda.anaconda.org/nodefaults/noarch
                          https://conda.anaconda.org/pytorch/linux-64
                          https://conda.anaconda.org/pytorch/noarch
                          https://conda.anaconda.org/nvidia/linux-64
                          https://conda.anaconda.org/nvidia/noarch
                          https://conda.anaconda.org/intel/linux-64
                          https://conda.anaconda.org/intel/noarch
       base environment : /share/home/uuu/micromamba
               platform : linux-64
Lingua principale
Shell
Stelle
47
Fork
112
Merge medio
1g 37m
PR unite (30g)
15

Preparare l'ambiente

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

Altre issue di conda-forge/python-feedstock

Tutte le issue di conda-forge/python-feedstock

Issue simili

Altre issue su Shell/Bash

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.