#16879: OA caching in C
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Reporter: ncohen | Owner:
Type: enhancement | Status: needs_info
Priority: major | Milestone: sage-6.4
Component: combinatorial | Resolution:
designs | Merged in:
Keywords: | Reviewers:
Authors: Nathann Cohen | Work issues:
Report Upstream: N/A | Commit:
Branch: public/16879 | 5b1977dca2ad045051e337f0f96c860ce245fdb6
Dependencies: #16875 | Stopgaps:
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Comment (by ncohen):
Yooooooooooo !
> More speed up at `public/16879c` (pass from 14.2sec to 13.6sec for the
first 1200 MOLS). Now that `is_available` is a cdef, it is the fastest to
call so we should always try this one first.
Cool ! By the way wouldn't `is_available(q+1,q)` be faster than
`is_prime_power` at some point ? `:-PPPPPPPPPPPPP`
Anyway, if this `is_prime_power` stuff keeps on slowing us down we will
just cache the first 10 000 values and get rid of the problem.
> What do you think about moving the actual constructions in
`orthogonal_arrays.py` and globally import them in
`orthogonal_array_recursive.py`? I do not like to have them in Cython (it
takes lifetime to compile, you get ugly backtrace, ...).
I agree that it would be better to keep this code in Python for the
moment, and I began to implement it by moving the functions to
`orthogonal_arrays.py`, but I would prefer to keep this file for user-
exposed functions if possible. And things like "construction_3_3" does not
exactly answer that. Aaaaaaand there would be a
`orthogonal_arrays_recursive.pyx` which would contain no constructions at
all, sooo...
What would you think of:
1) Creating a file `orthogonal_arrays_find_recursive.pyx` that contains
all the find functions.
2) Rename orthogonal_arrays_recursive to a .py file and keep the
constructions there.
Nathann
--
Ticket URL: <http://trac.sagemath.org/ticket/16879#comment:22>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica,
and MATLAB
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