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Version 0.1.4

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@elkins elkins released this 11 Jun 17:19
· 62 commits to main since this release
v0.1.4
e819f3e

Added

  • Comprehensive property-based testing using hypothesis to verify Kabsch alignment and NeRF kinematics geometry.
  • New numerical stability checks testing edge cases (e.g. sinc limits in Debye scattering and overlaps in CD matrix method).
  • Added hypothesis to pyproject.toml dev optional-dependencies.
  • Added an Interdisciplinary "Concepts & Context" guide to documentation to clarify jargon for ML researchers and biologists.

Fixed

  • Fixed notebook integrity test relying on strict directory structure by recursively globbing for notebooks (rglob).
  • RDC Q-factor edge case when experimental data is strictly zero.
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