Hi there, Following up on https://bitbucket.org/pypa/wheel/issue/124/glibc-incompatibility.
How should we deal with incompatibility of dynamically linked libraries? Doing "pip wheel numpy" on a Linux 64bit machine results in , which is linked dynamically against the GLIBC version installed on the build machine. So should the wheel be shipped with GLIBC, or the GLIBC version be specified in the wheel name (means to build a new wheel for each GLIBC version?). Also, maybe this is not the only library it is dynamically linked against? Why does that work on MacOS, btw? Are all library versions fixed there for one version of OSX? Thanks for putting some light into this issue. Best regards, Matthias
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