0.5.0

What's Changed

• CLI by @ddkohler in #174
• size test for equality by @ddkohler in #176
• No maya by @ddkohler in #175
• 0.5.0 by @ddkohler in #177

Full Changelog: 0.4.5...0.5.0

0.4.5

What's Changed

• more docs by @ddkohler in #153
• Addition of narrative docs instead of solely API docs by @ksunden in #160
• Add link to attune.wright.tools documentation. by @darienmorrow in #161
• Update _plot.py by @ddkohler in #165
• Update _discrete_tune.py by @ddkohler in #155
• 0.4.5 by @ddkohler in #166

New Contributors

• @ddkohler made their first contribution in #153
• @darienmorrow made their first contribution in #161

Full Changelog: 0.4.4...0.4.5

0.4.4

0.4.4
Fixed

Units on attune.intensity are set according to the axis they are referencing
Resolve some issues discovered by CodeQL which could result in unexpected behavior

Added

update_merge function which allows applying tunes from one instrument into an existing instrument.

0.4.3

Added

• Reading Topas4 formatted curves (from a directory of JSON files)
• Setables now have the ability to have defaults, which are added to Notes if not otherwise specified.
• Add transition to rename an Instrument

Fixed

• Tune Test does not overwrite discrete tunes and runs instead of failing if they exist

0.4.2

Added

• discrete tunes which map ranges of outputs to string identifiers (suitable e.g. for yaq is-discrete trait implementation)

0.4.1

Changed

• setables are now fully optional

Fixed

• Writing NDarrays to instrument.json files
• min and max value updating was buggy---now these values are never cached

0.4.0

Initial release of the complete rewrite with a musical metaphor

0.3.1

Bugfix release to correct ltol and gtol behavior

0.3.0

Includes rename_dependent function, and some fixes to plotting

0.2.0

This release primarily consists of bug fixes and the new holistic tuning workup method.

holistic (#58) allows taking a multidimensional motor space (currently limited to exactly two motor dimensions, though much of the algorithm is generalized to higher dimensionality), taking into account both the intensity and central color to obtain the ideal tuning curve.

Bug fixes include:

• #75 proper interpolation in offset_by
• #77 fixing plotting of tune_test
• #76 respect full kwarg on save
• #70 Allow better handling of multidimensional data when tuning

A full list of issues and pull requests can be found here.