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Have "spack spec" indicate which specs are not yet built #483

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citibeth opened this issue Mar 3, 2016 · 2 comments
Closed

Have "spack spec" indicate which specs are not yet built #483

citibeth opened this issue Mar 3, 2016 · 2 comments
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@citibeth
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citibeth commented Mar 3, 2016

For example... instead of:

  py-scipy@0.15.1%gcc@4.9.3=linux-x86_64
      ^netlib-blas@3.5.0%gcc@4.9.3+fpic=linux-x86_64
      ^netlib-lapack@3.5.0%gcc@4.9.3+shared=linux-x86_64
          ^cmake@3.4.3%gcc@4.9.3+ncurses=linux-x86_64
              ^ncurses@6.0%gcc@4.9.3=linux-x86_64
      ^py-nose@1.3.6%gcc@4.9.3=linux-x86_64
          ^py-setuptools@19.2%gcc@4.9.3=linux-x86_64
              ^python@3.5.1%gcc@4.9.3=linux-x86_64
                  ^bzip2@1.0.6%gcc@4.9.3=linux-x86_64
                  ^readline@6.3%gcc@4.9.3=linux-x86_64
                  ^sqlite@3.8.5%gcc@4.9.3=linux-x86_64
                  ^zlib@1.2.8%gcc@4.9.3=linux-x86_64
      ^py-numpy@1.9.2%gcc@4.9.3+blas=linux-x86_64

We should get something like:

*  py-scipy@0.15.1%gcc@4.9.3=linux-x86_64
      ^netlib-blas@3.5.0%gcc@4.9.3+fpic=linux-x86_64
      ^netlib-lapack@3.5.0%gcc@4.9.3+shared=linux-x86_64
          ^cmake@3.4.3%gcc@4.9.3+ncurses=linux-x86_64
              ^ncurses@6.0%gcc@4.9.3=linux-x86_64
      ^py-nose@1.3.6%gcc@4.9.3=linux-x86_64
          ^py-setuptools@19.2%gcc@4.9.3=linux-x86_64
              ^python@3.5.1%gcc@4.9.3=linux-x86_64
                  ^bzip2@1.0.6%gcc@4.9.3=linux-x86_64
                  ^readline@6.3%gcc@4.9.3=linux-x86_64
                  ^sqlite@3.8.5%gcc@4.9.3=linux-x86_64
                  ^zlib@1.2.8%gcc@4.9.3=linux-x86_64
      ^py-numpy@1.9.2%gcc@4.9.3+blas=linux-x86_64

This would make it easier to see if a spec is right (i.e. consistent with other software we want installed). PR #120 will ameliorate this issue, but it still seems like an nice feature.

@tgamblin
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tgamblin commented Mar 3, 2016

👍 This and more detailed output from spack install (e.g., showing what will be built in advance) would be good.

@adamjstewart
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Closed by #2238. This feature is now available with spack spec -I

matz-e pushed a commit to matz-e/spack that referenced this issue Apr 27, 2020
- Addresses issue with simulation aborting from nrn_timeout
  probably due to slow I/O
- Bumped CoreNeuron version to 0.14.1 to redeploy modules
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