Release 1.0.0 #190
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Release 1.0.0 #190
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This reverts commit 1f58e53.
Move SH class to sphary.classes
Co-authored-by: Anton Hoyer <156099087+hoyer-a@users.noreply.github.com>
Co-authored-by: Anton Hoyer <156099087+hoyer-a@users.noreply.github.com>
edit docstrings edit error message revert unrelated changes
ruff: fix pycodestyles
Co-authored-by: Tim Lübeck <tim.luebeck@icloud.com>
Co-authored-by: Tim Lübeck <tim.luebeck@icloud.com>
Co-authored-by: Marco Berzborn <mberz@users.noreply.github.com>
Co-authored-by: Marco Berzborn <mberz@users.noreply.github.com>
Co-authored-by: Fabian Brinkmann <fabian.brinkmann@mailbox.org>
Co-authored-by: Marco Berzborn <mberz@users.noreply.github.com>
Fix SamplingSphere docs
add from_coordinates class methods and tests thereof
skip processing if target == current convention
* update examples to use spharpy SamplingSphere * update imports as discussed
* consistently import spharpy as sy * update imports as discussed
* add SHAudio SHTimeData and SHFrequencyData * add tests * add doc and clean up * move n_max and dimensions check to base class * adapt to new normalization names * Incorporate new SHBase class --------- Co-authored-by: Marco Berzborn <mberz@users.noreply.github.com>
…class (#246) * Allow setting the inverse calculation to `None` This can be used when creating an object with Coordintates instead of SamplingSphere * Simplify logic in inverse method setter * Harmonize imports * Flake 8 compliant indents * set inverse method to None when coordinates are not a SamplingSphere and value is 'auto'
* add SphericalHarmonics.from_definition and tests thereof --------- Co-authored-by: Marco Berzborn <mberz@users.noreply.github.com>
- Start docstring with one-liners. - Mention parameter and return shapes - Mention restrictions on parameter values - Improve clarity of examples (all examples updated in the same way. Comment on one, I'll update all) - Minor improvement of wording to imporve consistency inside module and with respect to pyfar.
Squeeze arrays before converting to scalar (fix numpy 2.4.0)
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