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#!/usr/bin/env lua
--[[
This is a Lua implementation of Peter Novig's excellent sudoku solver,
originally written in Python:
[Solving Every Sudoku Puzzle](http://norvig.com/sudoku.html)
--]]
local M = require('moses')
local t2 = {}
--[[ utility ]]--
function t2.contains(tbl, elem)
for _, v in pairs(tbl) do
if v == elem then return true end
end
return false
end
function t2.slurp(input)
local fh = assert(io.open(input, "r"))
local text = fh:read("*all")
fh:close()
return text
end
function t2.deep_copy(tbl)
local copy = {}
for k, v in pairs(tbl) do
copy[k] = v
end
return copy
end
function t2.dict(tbl)
local result = {}
for _, v in pairs(tbl) do
result[v[1]] = v[2]
end
return result
end
function t2.cross(a, b)
local result = {}
for _, aa in ipairs(a) do
for _, bb in ipairs(b) do
table.insert(result, aa .. bb)
end
end
return result
end
function t2.build_unitlist(rows, cols)
local result = {}
for _, c in ipairs(cols) do table.insert(result, t2.cross(rows, {c})) end
for _, r in ipairs(rows) do table.insert(result, t2.cross({r}, cols)) end
for rs in M.partition(rows, 3) do
for cs in M.partition(cols, 3) do
table.insert(result, t2.cross(rs, cs))
end
end
return result
end
function t2.center(s, width)
local space = width - #s + 1
local n = math.floor(space/2)
local lead = ((n > 1) and (' '):rep(n)) or ''
return lead .. s .. (' '):rep(space - n)
end
--[[ unit tests ]]--
function t2.test()
assert(#t2.squares == 81)
assert(#t2.unitlist == 27)
assert(M.all(M.map(t2.squares, function (v) return #t2.units[v] == 3 end), M.identity))
assert(M.all(M.map(t2.squares, function (v) return #t2.peers[v] == 20 end), M.identity))
assert(M.isEqual(t2.units['C2'], {
{'A2', 'B2', 'C2', 'D2', 'E2', 'F2', 'G2', 'H2', 'I2'},
{'C1', 'C2', 'C3', 'C4', 'C5', 'C6', 'C7', 'C8', 'C9'},
{'A1', 'A2', 'A3', 'B1', 'B2', 'B3', 'C1', 'C2', 'C3'}}))
local c2_peers = {'A2', 'B2', 'D2', 'E2', 'F2', 'G2', 'H2', 'I2', 'C1',
'C3', 'C4', 'C5', 'C6', 'C7', 'C8', 'C9', 'A1', 'A3', 'B1', 'B3'}
assert(M.isEqual(
M.symmetricDifference(t2.peers['C2'], c2_peers),
M.symmetricDifference(c2_peers, t2.peers['C2'])))
end
--[[ parse a grid ]]--
function t2.grid_values(grid)
local chars = M.tabulate(grid:gsub(';.-[\r\n]',''):gmatch'[%d_.]')
assert(#chars == 81)
return t2.dict(M.zip(t2.squares, chars))
end
function t2.parse_grid(grid)
local values = {}
for _, s in pairs(t2.squares) do values[s] = table.concat(t2.digits) end
for s, d in pairs(t2.grid_values(grid)) do
if t2.contains(t2.digits, d) and not t2.assign(values, s, d) then
return false
end
end
return values
end
--[[ constraint propagation ]]--
function t2.assign(values, s, d)
local other_values = values[s]:gsub(d, '')
for d2 in other_values:gmatch'%d' do
if not t2.eliminate(values, s, d2) then
return false
end
end
return values
end
function t2.eliminate(values, s, d)
if not values[s]:match(d) then
return values
end
values[s] = values[s]:gsub(d, '')
-- (1) If a square s is reduced to one value d2, then eliminate d2 from the peers.
if values[s]:len() == 0 then
return false
elseif values[s]:len() == 1 then
local d2 = values[s]
for _, s2 in ipairs(t2.peers[s]) do
if not t2.eliminate(values, s2, d2) then
return false
end
end
end
-- (2) If a unit u is reduced to only one place for a value d, then put it there.
local dplaces
for _, u in ipairs(t2.units[s]) do
dplaces = {}
for _, v in ipairs(u) do
if values[v]:match(d) then table.insert(dplaces, v) end
end
if #dplaces == 0 then
return false
elseif #dplaces == 1 then
-- d can only be in one place in unit; assign it there
if not t2.assign(values, dplaces[1], d) then
return false
end
end
end
return values
end
--[[ display as 2-D grid ]]--
function t2.display(values)
local width = 1 + M.max(t2.squares, function (v) return #values[v] end)
local line = table.concat(M.rep(string.rep('-', (width * 3)), 3), '+')
local closer
for _, r in ipairs(t2.rows) do
for _, c in ipairs(t2.cols) do
if ((c == '3') or (c == '6')) then closer = '|' else closer = '' end
io.write(t2.center(values[r .. c], width) .. closer)
end
print()
if ((r == 'C') or (r == 'F')) then print(line) end
end
print()
end
--[[ search ]]--
function t2.choose_unfilled(values)
local min_len
local min_val
local cur_len
for _, v in pairs(t2.squares) do
cur_len = values[v]:len()
if cur_len > 1 then
if not min_len or ((cur_len <= min_len) and (v <= min_val)) then
min_len = cur_len
min_val = v
end
end
end
return min_val
end
function t2.search(values)
if not values then
return false --failed earlier
end
if M.all(t2.squares, function (v) return values[v]:len() == 1 end) then
return values --solved
end
-- chose the unfilled square s with the fewest possibilities
local s = t2.choose_unfilled(values)
loc
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