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authorWilliam Carroll <wpcarro@gmail.com>2022-11-25T06·29-0800
committerwpcarro <wpcarro@gmail.com>2022-11-25T07·27+0000
commit344d3050f3432d775e60704dd1032d1398179291 (patch)
treefec13f78cddd2af842f5919369e167ad9979c6b4 /users/wpcarro/emacs/.emacs.d/wpc/graph.el
parent40eca908574a20caaaa61de6ea63db294dc85ab3 (diff)
chore(wpcarro/emacs): Delete graph.el r/5316
Trimming Le Fat...

Change-Id: Ia178963d3187131ad8d76fdd24687cda520f0c2d
Reviewed-on: https://cl.tvl.fyi/c/depot/+/7396
Tested-by: BuildkiteCI
Reviewed-by: wpcarro <wpcarro@gmail.com>
Diffstat (limited to 'users/wpcarro/emacs/.emacs.d/wpc/graph.el')
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-;;; graph.el --- Working with in-memory graphs -*- lexical-binding: t -*-
-
-;; Author: William Carroll <wpcarro@gmail.com>
-;; Version: 0.0.1
-;; Package-Requires: ((emacs "24.3"))
-
-;;; Commentary:
-;;
-;; Remember that there are optimal three ways to model a graph:
-;; 1. Edge List
-;; 2. Vertex Table (a.k.a. Neighbors Table)
-;; 3. Adjacency Matrix
-;;
-;; I may call these "Edges", "Neighbors", "Adjacencies" to avoid verbose naming.
-;; For now, I'm avoiding dealing with Adjacency Matrices as I don't have an
-;; immediate use-case for them.  This is subject to change.
-;;
-;; There are also hybrid representations of graphs that combine the three
-;; aforementioned models.  I believe Erlang's digraph module models graphs in
-;; Erlang Term Storage (i.e. ETS) this way.
-;; TODO: Verify this claim.
-;;
-;; Graphs can be weighted or unweighted.  They can also be directed or
-;; undirected.
-;; TODO: Create a table explaining all graph variants.
-;;
-;; TODO: Figure out the relationship of this module and tree.el, which should in
-;; principle overlap.
-
-;;; Code:
-
-;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
-;; Dependencies
-;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
-
-(require 'prelude)
-
-;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
-;; Library
-;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
-
-;; For now, I'll support storing *either* neighbors or edges in the graph struct
-;; as long as both aren't set, since that introduces consistency issues.  I may
-;; want to handle that use-case in the future, but not now.
-(cl-defstruct graph neighbors edges)
-
-;; TODO: How do you find the starting point for a topo sort?
-(defun graph-sort (xs)
-  "Return a topological sort of XS.")
-
-(defun graph-from-edges (xs)
-  "Create a graph struct from the Edge List, XS.
-The user must pass in a valid Edge List since asserting on the shape of XS might
-  be expensive."
-  (make-graph :edges xs))
-
-(defun graph-from-neighbors (xs)
-  "Create a graph struct from a Neighbors Table, XS.
-The user must pass in a valid Neighbors Table since asserting on the shape of
-  XS might be expensive."
-  (make-graph :neighbors xs))
-
-(defun graph-instance? (xs)
-  "Return t if XS is a graph struct."
-  (graph-p xs))
-
-;; TODO: Model each of the mapping functions into an isomorphism.
-(defun graph-edges->neighbors (xs)
-  "Map Edge List, XS, into a Neighbors Table."
-  (prelude-assert (graph-instance? xs)))
-
-(defun graph-neighbors->edges (xs)
-  "Map Neighbors Table, XS, into an Edge List."
-  (prelude-assert (graph-instance? xs)))
-
-;; Below are three different models of the same unweighted, directed graph.
-
-(defvar graph-edges
-  '((a . b) (a . c) (a . e)
-    (b . c) (b . d)
-    (c . e)
-    (d . f)
-    (e . d) (e . f)))
-
-(defvar graph-neighbors
-  ((a b c e)
-   (b c d)
-   (c e)
-   (d f)
-   (e d g)
-   (f)))
-
-(provide 'graph)
-;;; graph.el ends here