gdbm

问题 When doing import dbm.gnu on a standard Python 3.7.6 (64) for Windows, I get: File "C:\Python37\lib\dbm\gnu.py", line 3, in from _gdbm import * ModuleNotFoundError: No module named '_gdbm' Isn't dbm.gnu supported out of the box on Windows? The same problem happens with: import dbm.ndbm File "C:\Python37\lib\dbm\ndbm.py", line 3, in from _dbm import * ModuleNotFoundError: No module named '_dbm' I tested on another Python 3.6.8, and it's the same. 来源： https://stackoverflow.com/questions

问题 I use Python 3.6 in an anaconda environment. I installed GDBM with conda install gdbm The installation went well, however I can't use dbm.gnu from Python: ModuleNotFoundError: No module named '_gdbm' It seams that Python doesn't include the _gdbm module, even if GDBM is actually installed. Is this a known problem? How can I fix it? Thanks! 回答1: I faced this issue as well. This is probably not the ideal way, but it works. I did the following to resolve this - sudo apt-get install python3-gdbm

问题 I am trying to install cvs2svn on a Solaris 10 machine. It has Python 2.4.4 on it. I don't have root access. When I downloaded cvs2svn and tried to run it, it said ERROR: cvs2svn uses the anydbm package, which depends on lower level dbm libraries. Your system has dbm, with which cvs2svn is known to have problems. To use cvs2svn, you must install a Python dbm library other than dumbdbm or dbm. See http://python.org/doc/current/lib/module-anydbm.html for more information. I downloaded gdbm,

问题 I am trying to perform a migration from cvs to svn on my our new XServe server which is running OS X Server. There is a known conflict between the cvs2svn and dbm libraries that come pre-installed with OS X. The error is: ERROR: cvs2svn uses the anydbm package, which depends on lower level dbm libraries. Your system has dbm, with which cvs2svn is known to have problems. To use cvs2svn, you must install a Python dbm library other than dumbdbm or dbm. See http://python.org/doc/current/lib

问题 I'm working with shelve in python 2.7.6 for caching calculations, and I've ran into the issue described HERE for shelve files produced by me and implemented the suggested solution in a function that merges a file other into the file target : ... # target and other are strings # Loads the gdbm module, as suggested mod = __import__("gdbm") # Open target for modifications tar = shelve.Shelf(mod.open(target, 'c', 0666)) # THROWS EXCEPTION # Open other for reading oth = shelve.Shelf(mod.open(other