Hi all,
I have just finished attending the 5th International Conference on 
Combinatorics, where I spoke about my Sage computations with Cayley graphs 
of bent functions, and the new inclusion of SQL database support for this 
project. For background info, see "Classifying bent functions" below. The 
accompanying paper on arXiv is out of date, and still needs to be 
completed, and the Sage and Python code still needs work, especially 
doctests. Any advice or help on how to proceed at this point is welcome. I 
am especially looking for advice on long-term publicly accessible hosting 
of large (TB size) relational databases, as well as advice on how to 
incorporate parts of my work into Sage proper.
All the best, Paul

   - Classifying bent functions 
   <https://drive.google.com/open?id=0BynZQtPnxGf-RXloSDBnUzc2bzg>, 
   University of Melbourne, 2017.
   - Yet another database of strongly regular graphs 
   <https://drive.google.com/open?id=1_84z9BkPeY8l-uuwH4VLNSsKG_fuDKhR>, 
   5ICC <https://www.monash.edu/5icc/>, Monash University, 2017. 
   (Highlights, other than the prototype databases, include a proof that 
   two of the 10 published Extended Affine classes of bent functions of degree 
   3 in 8 dimensions are actually the same class, and evidence that 8 of the 
   256 bent functions that define the 8 S-boxes of CAST-128 have more symmetry 
   than the other 248 functions do.)
   - Paul Leopardi, "Classifying  
   <https://sites.google.com/site/paulleopardi/research/goog_573028086>bent 
   functions by their Cayley graphs".
   
   Preprint: 
   
<https://sites.google.com/site/paulleopardi/research/goog_1283422221>arXiv:1705.04507
 
   [math.CO] <https://arxiv.org/abs/1705.04507>, updated July 2017.
   
   Explores the connections between bent functions and their Cayley graphs, 
   as well as projective two-weight linear codes, and symmetric designs with 
   the symmetric difference property, through various equivalence classes. 
   Includes exhaustive classifications of bent functions up to 8 dimensions 
   and degree 3, with selected examples of degree 4.
   
SageMath code: Boolean-Cayley-graphs: Investigations of Boolean functions, 
their Cayley graphs, and associated structures.

   - CoCalc: public folder of worksheets, source code and data files 
   
<https://cocalc.com/projects/80f4c9e7-8a37-4f59-82e7-aa179ec0b652/files/Boolean-Cayley-graphs/>
   .
   - GitHub: Git repository of source code, data and papers. 
   <https://github.com/penguian/Boolean-Cayley-graphs>
   - SourceForge: Documentation of Python modules in HTML format. 
   <https://boolean-cayley-graphs.sourceforge.io/>

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