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conda install hdf5=1.8.17=openmpi_dbg_101

You can use features - add the dbg feature to the recipe for the latter, then the dbg needs to be installed in an environment that accepts the dbg variant.. Example for gpu

• create gpu feature package
• Track gpu feature in other packages meta.yaml
  • this is for tensorflow

Can also put it in the package name, ie

hdf5_dbg==1.8.17

use the recipe conflicts with to make sure not installed with hdf5

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