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add_note_to_knotinfo_interface initial
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src/sage/knots/knotinfo.py

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@@ -48,6 +48,12 @@
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the according documentation of :meth:`KnotInfoBase.homfly_polynomial`,
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:meth:`KnotInfoBase.jones_polynomial` and :meth:`KnotInfoBase.alexander_polynomial`.
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Furthermore, note that not all columns available in the database are visible on the web
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pages (see also the related note under :meth:`KnotInfoBase.khovanov_polynomial`).
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It is planned to remove non-visible columns from the database in the future (see
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the `Python Wrapper <https://github.com/soehms/database_knotinfo#readme>`__ for
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updated information).
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EXAMPLES::
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sage: from sage.knots.knotinfo import KnotInfo
@@ -1714,9 +1720,23 @@ def khovanov_polynomial(self, var1='q', var2='t', base_ring=ZZ, original=False):
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.. NOTE ::
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The Khovanov polynomial given in KnotInfo corresponds to the mirror
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image of the given knot for a `list of 140 exceptions
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<https://raw.githubusercontent.com/soehms/database_knotinfo/main/hints/list_of_mirrored_khovanov_polynonmial.txt>`__.
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The data used here were calculated with the program
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`KhoHo <https://github.com/AShumakovitch/KhoHo>`__. They are no longer
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visible on the website as of October 30, 2022. Instead, data
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computed with `KnotJob <https://www.maths.dur.ac.uk/users/dirk.schuetz/knotjob.html>`__
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are now displayed. The latter program is more accurate in terms of
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orientation and reflection as it is based on `PD` code.
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Even if they are not visible on the website, the data produced by
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`KhoHo` are still available in the database. But maybe this will be
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discontinued (check out the `Python wrapper <https://github.com/soehms/database_knotinfo#readme>`__ for updated information).
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This interface will be adapted to the changes in an upcoming
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release.
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Since the results of `KhoHo` were computed using the `DT` notation,
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the Khovanov polynomial returned by this method belongs to the
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mirror image of the given knot for a `list of 140 exceptions
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<https://raw.githubusercontent.com/soehms/database_knotinfo/ main /hints/list_of_mirrored_khovanov_polynonmial.txt>`__.
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EXAMPLES::
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