Explore projects
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Frank Sauerburger / sortednp
MIT LicenseSortednp (sorted numpy) is a python package which provides methods to perform efficient set operations on sorted numpy arrays. This includes intersecting and merging sorted numpy arrays. The returned intersections and unions are also sorted.
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Frank Sauerburger / manylinux
MIT LicenseFork of https://github.com/pypa/manylinux with modifications to provide googletest.
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Frank Sauerburger / LandingServer
MIT LicenseThe landing server project provides a docker image, which runs an ssh server to add a layer of isolation between the bare metal server and the server where the users usually log on to and perform all the work.
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CERN / fsauerbu / WSIAssembler
MIT LicenseProgram to generate a layered and transformed workspace input view.
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Frank Sauerburger / ciwait
MIT LicenseCommand-line tool which waits until a CI pipeline or job is done.
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Frank Sauerburger / GiTemplet
MIT LicenseCommand-line tool which checks out a template project, prompts project properties and inserts them into the template project.
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Frank Sauerburger / GitlabPM
MIT LicenseCommand line tool to create common labels and board used for project management.
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Frank Sauerburger / tweetlimiter
MIT LicenseUpdated -
Frank Sauerburger / sit-archive-tool
MIT LicenseCustomer tool to create archive files for tape drives.
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Command line tool which executes a second shebang line as a bash input line. This allows specifying multiple arguments in a shebang line.
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Docker registry web interface using token-based authentication to communicate with the registry.
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Repository to develop a docker-builder image which allows building docker images in the CI while limiting access to the docker daemon.
Please do not use this image in production since the access restrictions can be disabled easily!
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CERN / fsauerbu / AcEvaluation
MIT LicensePython script to evaluate the acceptance challenge by parsing the Google Doc Sheet.
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Frank Sauerburger / pyveu
MIT LicensePython package to handle values with errors and units, i.e. physical quantities. The package supports Gaussian error propagation and therefore makes quick evaluations in the lab easy and reliable.
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