执行make analyze遇GLIBCXX_3.4.29缺失错误，求conda无sudo解决方案

错误信息 #

(genslm) smrutip@dgx1:~/smruti_project/pyro-cov$ make analyze 
python scripts/mutrans.py --vary-holdout Traceback (most recent call last): File "/raid/home/smrutip/smruti_project/pyro-cov/scripts/mutrans.py", line 16, in from pyrocov import mutrans, pangolin, sarscov2 File "/raid/home/smrutip/smruti_project/pyro-cov/pyrocov/mutrans.py", line 37, in import pyrocov.geo File "/raid/home/smrutip/smruti_project/pyro-cov/pyrocov/geo.py", line 12, in import pandas as pd File "/raid/home/smrutip/anaconda3/envs/genslm/lib/python3.9/site-packages/pandas/__init__.py", line 48, in from pandas.core.api import ( File "/raid/home/smrutip/anaconda3/envs/genslm/lib/python3.9/site-packages/pandas/core/api.py", line 47, in from pandas.core.groupby import ( File "/raid/home/smrutip/anaconda3/envs/genslm/lib/python3.9/site-packages/pandas/core/groupby/__init__.py", line 1, in from pandas.core.groupby.generic import ( File "/raid/home/smrutip/anaconda3/envs/genslm/lib/python3.9/site-packages/pandas/core/groupby/generic.py", line 77, in from pandas.core.frame import DataFrame File "/raid/home/smrutip/anaconda3/envs/genslm/lib/python3.9/site-packages/pandas/core/frame.py", line 182, in from pandas.core.generic import NDFrame File "/raid/home/smrutip/anaconda3/envs/genslm/lib/python3.9/site-packages/pandas/core/generic.py", line 179, in from pandas.core.window import ( File "/raid/home/smrutip/anaconda3/envs/genslm/lib/python3.9/site-packages/pandas/core/window/__init__.py", line 1, in from pandas.core.window.ewm import ( File "/raid/home/smrutip/anaconda3/envs/genslm/lib/python3.9/site-packages/pandas/core/window/ewm.py", line 11, in import pandas._libs.window.aggregations as window_aggregations 
ImportError: /lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.29' not found (required by /raid/home/smrutip/anaconda3/envs/genslm/lib/python3.9/site-packages/pandas/_libs/window/aggregations.cpython-39-x86_64-linux-gnu.so) make: *** [Makefile:63: analyze] Error 1

解决步骤 #

无sudo权限时，可通过conda在当前环境内调整依赖库，以下是两种可行方案：

方案一：安装conda-forge提供的高版本libstdc++

该方案会在conda环境内独立安装兼容的libstdc++，不影响系统全局：

1. 激活目标环境：

   conda activate genslm
   

2. 安装conda-forge的libstdcxx-ng包：

   conda install -c conda-forge libstdcxx-ng
   

3. 验证安装有效性：

   strings $CONDA_PREFIX/lib/libstdc++.so.6 | grep GLIBCXX_3.4.29
   

   若输出包含GLIBCXX_3.4.29，说明安装成功。
4. 重新运行命令：

   make analyze
   

方案二：降级pandas到适配系统libstdc++的版本

若方案一无效，可尝试降低pandas版本以适配系统现有libstdc++：

1. 激活环境后执行降级命令：

   conda install pandas=1.4.5
   

   （注：1.4.x系列对GLIBCXX要求较低，可根据需求调整具体版本号）
2. 重新运行make analyze

内容的提问来源于stack exchange，提问作者Smruti Panda