Stow algebraic engine prototype

We're using the Gram matrix engine for the next stage of development,
so the algebraic engine shouldn't be at the top level anymore.

engine-proto/alg-test/HittingSet.jl

@@ -0,0 +1,111 @@
+module HittingSet
+
+export HittingSetProblem, solve
+
+HittingSetProblem{T} = Pair{Set{T}, Vector{Pair{T, Set{Set{T}}}}}
+
+# `targets` should be a collection of Set objects
+function HittingSetProblem(targets, chosen = Set())
+  wholeset = union(targets...)
+  T = eltype(wholeset)
+  unsorted_moves = [
+    elt => Set(filter(s -> elt ∉ s, targets))
+    for elt in wholeset
+  ]
+  moves = sort(unsorted_moves, by = pair -> length(pair.second))
+  Set{T}(chosen) => moves
+end
+
+function Base.display(problem::HittingSetProblem{T}) where T
+  println("HittingSetProblem{$T}")
+  
+  chosen = problem.first
+  println(" {", join(string.(chosen), ", "), "}")
+  
+  moves = problem.second
+  for (choice, missed) in moves
+    println(" | ", choice)
+    for s in missed
+      println(" | | {", join(string.(s), ", "), "}")
+    end
+  end
+  println()
+end
+
+function solve(pblm::HittingSetProblem{T}, maxdepth = Inf) where T
+  problems = Dict(pblm)
+  while length(first(problems).first) < maxdepth
+    subproblems = typeof(problems)()
+    for (chosen, moves) in problems
+      if isempty(moves)
+        return chosen
+      else
+        for (choice, missed) in moves
+          to_be_chosen = union(chosen, Set([choice]))
+          if isempty(missed)
+            return to_be_chosen
+          elseif !haskey(subproblems, to_be_chosen)
+            push!(subproblems, HittingSetProblem(missed, to_be_chosen))
+          end
+        end
+      end
+    end
+    problems = subproblems
+  end
+  problems
+end
+
+function test(n = 1)
+  T = [Int64, Int64, Symbol, Symbol][n]
+  targets = Set{T}.([
+    [
+      [1, 3, 5],
+      [2, 3, 4],
+      [1, 4],
+      [2, 3, 4, 5],
+      [4, 5]
+    ],
+    # example from Amit Chakrabarti's graduate-level algorithms class (CS 105)
+    # notes by Valika K. Wan and Khanh Do Ba, Winter 2005
+    # https://www.cs.dartmouth.edu/~ac/Teach/CS105-Winter05/
+    [
+      [1, 3], [1,    4], [1,    5],
+      [1, 3], [1, 2, 4], [1, 2, 5],
+      [4, 3], [   2, 4], [   2, 5],
+      [6, 3], [6,    4], [      5]
+    ],
+    [
+      [:w, :x, :y],
+      [:x, :y, :z],
+      [:w, :z],
+      [:x, :y]
+    ],
+    # Wikipedia showcases this as an example of a problem where the greedy
+    # algorithm performs especially poorly
+    [
+      [:a, :x, :t1],
+      [:a, :y, :t2],
+      [:a, :y, :t3],
+      [:a, :z, :t4],
+      [:a, :z, :t5],
+      [:a, :z, :t6],
+      [:a, :z, :t7],
+      [:b, :x, :t8],
+      [:b, :y, :t9],
+      [:b, :y, :t10],
+      [:b, :z, :t11],
+      [:b, :z, :t12],
+      [:b, :z, :t13],
+      [:b, :z, :t14]
+    ]
+  ][n])
+  problem = HittingSetProblem(targets)
+  if isa(problem, HittingSetProblem{T})
+    println("Correct type")
+  else
+    println("Wrong type: ", typeof(problem))
+  end
+  problem
+end
+
+end