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Caliper

docs/assets/img/caliper-logo-sketch.png

PyPI version

Caliper is a tool for measuring and assessing change in packages.

docs/assets/img/spack-changes.png

See the documentation for getting started.

TODO

  • write tests to discover and test all metrics (type, name, etc.)
  • think of common functions to run metric
  • create visualization of grid of errors / scripts, and mouesover to see codes (server rendered)
  • stats: try to estimate types of codes (e.g., error name)

Analysis Ideas

  1. Start with a bunch of unit tests for a library (or example scripts) and build a model that can predict success (return code 0) vs fail (any other code) based on the scripts (tokens is a simple idea). Then given a new script without declared versions, predict which will work.
  2. (A slightly different project) - given a set of known "optimal" containers for a library like tensorflow, parse dependencies, versions, and library versions, run across same set of unit tests / example scripts, and try to say which combos (architecture and dependencies) works for different kinds of scripts.

License

  • Free software: MPL 2.0 License

Metadata

Release files for caliper 0.0.14

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for caliper 0.0.14
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Release files / caliper-0.0.14.tar.gz

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0.0.23

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0.0.21

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0.0.19

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0.0.18

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0.0.16

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0.0.15

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This release

0.0.14 This release

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0.0.13

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0.0.12

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0.0.11

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0.0.2

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0.0.1

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0.0.0

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