specialization-store
polymorphic-functions
specialization-store | polymorphic-functions | |
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1 | 6 | |
28 | 50 | |
- | - | |
0.0 | 5.6 | |
over 3 years ago | 29 days ago | |
Common Lisp | Common Lisp | |
GNU General Public License v3.0 or later | - |
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specialization-store
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polymorphic-functions - Possibly AOT dispatch on argument types with support for optional and keyword argument dispatch
I made this while running into code modularity issues with the numericals project I attempted last year; I did discover specialization-store, but found its goals in conflict with what I wanted to achieve; so I ended up investing in this.
polymorphic-functions
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Adding new types and operators to Lisp
If performance is a concern, then you would want to stick to CLHS provided simple-array and create appropriate types using deftype, and then dispatch on the types either by yourself, or by using something like polymorphic-functions and polymorph.maths.
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defgeneric and &rest
If you want to dispatch on vectors, you can try out polymorphic-functions which was made for the express purpose of dispatching on specialized arrays aka types rather than classes.
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numericals - Performance of NumPy with the goodness of Common Lisp
Since the past year or two, I have been working on numericals that aims to provide the speed of NumPy with the goodness of Common Lisp. In particular, this includes the use of dynamic variables, restarts, and compiler-notes wherever appropriate. It uses CLTL2 API (and may be slightly more) under the hood to provide AOT dispatch, but nothing stops you from combining it with JAOT dispatch provided by numcl/specialized-function. This also spawned a number of projects most notably polymorphic-functions to dispatch on types instead of classes and extensible-compound-types that allows one to define user defined compound types (beyond just the type-aliases enabled by deftype. Fortunately enough, interoperation between magicl, numcl and numericals/dense-numericals actually looks plausible!
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Common Lisp polymorphic stories.
Before reading this, please go and check out https://github.com/digikar99/polymorphic-functions which this project is fully based on. It's great.
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polymorphic-functions - Possibly AOT dispatch on argument types with support for optional and keyword argument dispatch
What I am calling parametric polymorphism is this test:
What are some alternatives?
numericals - CFFI enabled SIMD powered simple-math numerical operations on arrays for Common Lisp [still experimental]
lisp-interface-library - LIL: abstract interfaces and supporting concrete data-structures in Common Lisp
cl-parametric-types - (BETA) C++-style templates for Common Lisp
fast-generic-functions - Seal your generic functions for an extra boost in performance.
nyxt - Nyxt - the hacker's browser.
dense-arrays - Numpy like array object for common lisp
ctype - CL type system implementation
cffi - The Common Foreign Function Interface
generic-cl - Generic function interface to standard Common Lisp functions
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.