Known Issues

Binary installation issues

Cross Platform

  • Detailed numerical results may be sensitive to the exact versions of third party numerical libraries. If you are not using the standard Conda environment you may encounter issues when running the validation demo.

Source installation issues

Cross Platform

  • Compiling some packages—in particular afw—require large amounts of RAM to compile. This is compounded as the system will automatically attempt to parallelize the build, and can cause the build to run extremely slowly or fail altogether. On machines with less than 8 GB of RAM, disable parallelization by setting EUPSPKG_NJOBS=1 in your environment before running eups distrib.

  • Detailed numerical results may be sensitive to the exact versions of third party numerical libraries. If you are not using the standard Conda environment you may encounter issues when running the validation demo.

macOS specific

  • Some old installations of Xcode on Macs create a /Developer directory which can interfere with installation.

Other issues

Many versions of the DS9 image viewer software incorrectly read mask planes in Science Pipelines image files as all zeros.