RunasSudo/OpenTally
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Implement constraint matrix logic and test case

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RunasSudo 2021-06-27 17:44:30 +10:00
parent 444e274202
commit c563654ace
Signed by: RunasSudo
GPG Key ID: 7234E476BF21C61A
10 changed files with 408 additions and 9 deletions
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38
Cargo.lock generated
View File

@ -365,6 +365,15 @@ dependencies = [
"cfg-if 1.0.0",
]
[[package]]
name = "matrixmultiply"
version = "0.3.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "5a8a15b776d9dfaecd44b03c5828c2199cddff5247215858aac14624f8d6b741"
dependencies = [
"rawpointer",
]
[[package]]
name = "memchr"
version = "2.4.0"
@ -381,6 +390,19 @@ dependencies = [
"autocfg",
]
[[package]]
name = "ndarray"
version = "0.15.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "08e854964160a323e65baa19a0b1a027f76d590faba01f05c0cbc3187221a8c9"
dependencies = [
"matrixmultiply",
"num-complex",
"num-integer",
"num-traits",
"rawpointer",
]
[[package]]
name = "normalize-line-endings"
version = "0.3.0"
@ -398,6 +420,15 @@ dependencies = [
"num-traits",
]
[[package]]
name = "num-complex"
version = "0.4.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "26873667bbbb7c5182d4a37c1add32cdf09f841af72da53318fdb81543c15085"
dependencies = [
"num-traits",
]
[[package]]
name = "num-integer"
version = "0.1.44"
@ -449,6 +480,7 @@ dependencies = [
"ibig",
"itertools",
"js-sys",
"ndarray",
"num-bigint",
"num-rational",
"num-traits",
@ -564,6 +596,12 @@ version = "0.6.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "34cf66eb183df1c5876e2dcf6b13d57340741e8dc255b48e40a26de954d06ae7"
[[package]]
name = "rawpointer"
version = "0.2.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "60a357793950651c4ed0f3f52338f53b2f809f32d83a07f72909fa13e4c6c1e3"
[[package]]
name = "regex"
version = "1.5.4"

1
Cargo.toml
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@ -12,6 +12,7 @@ derive_more = "0.99.14"
git-version = "0.3.4"
ibig = "0.3.2"
itertools = "0.10.1"
ndarray = "0.15.3"
predicates = "1.0.8"
num-traits = "0.2"
sha2 = "0.9.5"

11
build_docs.sh Executable file
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@ -0,0 +1,11 @@
#!/bin/bash
# Gen docs
cargo doc --no-deps --document-private-items
# Remove wasm-bindgen items from HTML
find target/doc/opentally -type f -print0 | xargs -0 perl -0777 -i -pe 's#<tr class="module-item"><td><a class="fn" href="fn.__wasm_bindgen_generated_.*?</tr>##gs'
# Remove wasm-bindgen items from sidebars
find target/doc/opentally -name sidebar-items.js -print0 | xargs -0 perl -0777 -i -pe 's#initSidebarItems\({#initSidebarItems(Object.fromEntries(Object.entries({#g'
find target/doc/opentally -name sidebar-items.js -print0 | xargs -0 perl -0777 -i -pe 's#}\);#}).map(([k, v]) => [k, v.filter((w) => !w[0].startsWith("__wasm_bindgen_generated_"))])));#g'

346
src/constraints.rs Normal file
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@ -0,0 +1,346 @@
/* OpenTally: Open-source election vote counting
* Copyright © 2021 Lee Yingtong Li (RunasSudo)
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
use ndarray::{Array, Dimension, IxDyn};
use std::fmt;
use std::ops;
#[derive(Debug)]
enum ConstraintError {
NoConformantResult,
}
#[derive(Clone)]
struct ConstraintMatrixCell {
elected: usize,
min: usize,
max: usize,
cands: usize,
}
struct ConstraintMatrix(Array<ConstraintMatrixCell, IxDyn>);
impl ConstraintMatrix {
pub fn new(constraints: &mut [usize]) -> Self {
// Add 1 to dimensions for totals cells
for c in constraints.iter_mut() {
*c += 1;
}
return Self(Array::from_elem(
IxDyn(constraints),
ConstraintMatrixCell {
elected: 0,
min: 0,
max: 0,
cands: 0,
}
));
}
pub fn init(&mut self) {
let indices: Vec<IxDyn> = ndarray::indices(self.0.shape()).into_iter().collect();
// Compute candidate totals
self.recount_cands();
// Initialise max for grand total cell
let idx = IxDyn(&vec![0; self.0.ndim()][..]);
self.0[&idx].max = self.0[&idx].cands;
// Initialise max for inner cells (>=2 zeroes)
for idx in indices.iter() {
if (0..idx.ndim()).fold(0, |acc, d| if idx[d] != 0 { acc + 1 } else { acc }) < 2 {
continue;
}
self.0[idx].max = self.0[idx].cands;
}
// NB: Bounds on min, max, etc. will be further refined in initial step() calls
}
pub fn recount_cands(&mut self) {
let shape = Vec::from(self.0.shape());
let indices: Vec<IxDyn> = ndarray::indices(self.0.shape()).into_iter().collect();
// Compute cands/elected totals
for nzeroes in 1..self.0.ndim()+1 {
for idx in indices.iter() {
// First compute totals cells with 1 zero, then 2 zeroes, ... then grand total (all zeroes)
if (0..idx.ndim()).fold(0, |acc, d| if idx[d] == 0 { acc + 1 } else { acc }) != nzeroes {
continue;
}
self.0[idx].cands = 0;
self.0[idx].elected = 0;
// The axis along which to sum - if multiple, just pick the first, as these should agree
let zero_axis = (0..idx.ndim()).filter(|d| idx[*d] == 0).next().unwrap();
// Traverse along the axis and sum the candidates
let mut idx2 = idx.clone();
for coord in 1..shape[zero_axis] {
idx2[zero_axis] = coord;
self.0[idx].cands += self.0[&idx2].cands;
self.0[idx].elected += self.0[&idx2].elected;
}
}
}
}
pub fn step(&mut self) -> Result<bool, ConstraintError> {
let shape = Vec::from(self.0.shape());
let indices: Vec<IxDyn> = ndarray::indices(self.0.shape()).into_iter().collect();
for idx in indices.iter() {
let cell = &mut self.0[idx];
// Rule 1: Ensure elected < min < max < cands
if cell.min < cell.elected {
cell.min = cell.elected;
return Ok(false);
}
if cell.max > cell.cands {
cell.max = cell.cands;
return Ok(false);
}
if cell.min > cell.max {
return Err(ConstraintError::NoConformantResult);
}
let nzeroes = (0..idx.ndim()).fold(0, |acc, d| if idx[d] == 0 { acc + 1 } else { acc });
// Rule 2/3: Ensure min/max is possible in inner cells
if nzeroes == 0 {
for axis in 0..self.0.ndim() {
let mut idx2 = idx.clone();
// What is the min/max number of candidates that can be elected from other cells in this axis?
let (other_max, other_min) = (1..shape[axis]).fold((0, 0), |(acc_max, acc_min), coord| {
if coord == idx[axis] {
return (acc_max, acc_min);
}
idx2[axis] = coord;
return (acc_max + self.0[&idx2].max, acc_min + self.0[&idx2].min);
});
// What is the min/max number of candidates that can be elected along this axis?
idx2[axis] = 0;
let axis_max = self.0[&idx2].max;
let axis_min = self.0[&idx2].min;
// How many must be elected from this cell?
let this_max = (axis_max as i32) - (other_min as i32);
let this_min = (axis_min as i32) - (other_max as i32);
if this_max < (self.0[idx].max as i32) {
self.0[idx].max = this_max as usize;
return Ok(false);
}
if this_min > (self.0[idx].min as i32) {
self.0[idx].min = this_min as usize;
return Ok(false);
}
}
}
// Rule 4/5: Ensure min/max is possible in totals cells
if nzeroes > 0 {
for axis in 0..self.0.ndim() {
if idx[axis] != 0 {
continue;
}
// What is the total min/max along this axis?
let mut idx2 = idx.clone();
let (axis_max, axis_min) = (1..shape[axis]).fold((0, 0), |(acc_max, acc_min), coord| {
idx2[axis] = coord;
return (acc_max + self.0[&idx2].max, acc_min + self.0[&idx2].min);
});
if axis_max < self.0[idx].max {
self.0[idx].max = axis_max;
return Ok(false);
}
if axis_min > self.0[idx].min {
self.0[idx].min = axis_min;
return Ok(false);
}
}
}
}
return Ok(true);
}
}
impl fmt::Display for ConstraintMatrix {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> std::fmt::Result {
let shape = self.0.shape();
let mut result = String::new();
// TODO: ≠2 dimensions
for y in 0..shape[1] {
result.push_str("+");
for _ in 0..shape[0] {
result.push_str(if y == 1 { "=============+" } else { "-------------+" });
}
result.push_str("\n");
result.push_str("|");
for x in 0..shape[0] {
result.push_str(&format!(" Elected: {:2}", self[&[x, y]].elected));
result.push_str(if x == 0 { " ‖" } else { " |" });
}
result.push_str("\n");
result.push_str("|");
for x in 0..shape[0] {
result.push_str(&format!(" Min: {:2}", self[&[x, y]].min));
result.push_str(if x == 0 { " ‖" } else { " |" });
}
result.push_str("\n");
result.push_str("|");
for x in 0..shape[0] {
result.push_str(&format!(" Max: {:2}", self[&[x, y]].max));
result.push_str(if x == 0 { " ‖" } else { " |" });
}
result.push_str("\n");
result.push_str("|");
for x in 0..shape[0] {
result.push_str(&format!(" Cands: {:2}", self[&[x, y]].cands));
result.push_str(if x == 0 { " ‖" } else { " |" });
}
result.push_str("\n");
}
result.push_str("+");
for _ in 0..shape[0] {
result.push_str("-------------+");
}
result.push_str("\n");
return f.write_str(&result);
}
}
impl ops::Index<&[usize]> for ConstraintMatrix {
type Output = ConstraintMatrixCell;
fn index(&self, index: &[usize]) -> &Self::Output { &self.0[index] }
}
impl ops::IndexMut<&[usize]> for ConstraintMatrix {
fn index_mut(&mut self, index: &[usize]) -> &mut Self::Output { &mut self.0[index] }
}
#[cfg(test)]
mod tests {
use super::*;
fn assert_cell(cm: &ConstraintMatrix, idx: &[usize], elected: usize, min: usize, max: usize, cands: usize) {
assert_eq!(cm[idx].elected, elected, "Failed to validate elected at {:?}", idx);
assert_eq!(cm[idx].min, min, "Failed to validate min at {:?}", idx);
assert_eq!(cm[idx].max, max, "Failed to validate min at {:?}", idx);
assert_eq!(cm[idx].cands, cands, "Failed to validate cands at {:?}", idx);
}
#[test]
fn cm_otten() {
let mut cm = ConstraintMatrix::new(&mut [3, 2]);
// Totals
let c = &mut cm[&[0, 1]]; c.min = 7; c.max = 7;
let c = &mut cm[&[0, 2]]; c.min = 7; c.max = 7;
let c = &mut cm[&[1, 0]]; c.min = 7; c.max = 7;
let c = &mut cm[&[2, 0]]; c.min = 6; c.max = 6;
let c = &mut cm[&[3, 0]]; c.min = 1; c.max = 1;
// Candidates
let c = &mut cm[&[1, 1]]; c.cands = 4;
let c = &mut cm[&[2, 1]]; c.cands = 11;
let c = &mut cm[&[3, 1]]; c.cands = 2;
let c = &mut cm[&[1, 2]]; c.cands = 7;
let c = &mut cm[&[2, 2]]; c.cands = 3;
let c = &mut cm[&[3, 2]]; c.cands = 1;
// Init
cm.init();
while !cm.step().expect("No conformant result") {}
println!("{}", cm);
assert_cell(&cm, &[1, 1], 0, 0, 4, 4);
assert_cell(&cm, &[2, 1], 0, 3, 6, 11);
assert_cell(&cm, &[3, 1], 0, 0, 1, 2);
assert_cell(&cm, &[0, 1], 0, 7, 7, 17);
assert_cell(&cm, &[1, 2], 0, 3, 7, 7);
assert_cell(&cm, &[2, 2], 0, 0, 3, 3);
assert_cell(&cm, &[3, 2], 0, 0, 1, 1);
assert_cell(&cm, &[0, 2], 0, 7, 7, 11);
assert_cell(&cm, &[1, 0], 0, 7, 7, 11);
assert_cell(&cm, &[2, 0], 0, 6, 6, 14);
assert_cell(&cm, &[3, 0], 0, 1, 1, 3);
assert_cell(&cm, &[0, 0], 0, 14, 14, 28);
// Election of Welsh man
cm[&[3, 1]].elected += 1;
cm.recount_cands();
while !cm.step().expect("No conformant result") {}
println!("{}", cm);
assert_cell(&cm, &[1, 1], 0, 0, 3, 4);
assert_cell(&cm, &[2, 1], 0, 3, 6, 11);
assert_cell(&cm, &[3, 1], 1, 1, 1, 2);
assert_cell(&cm, &[0, 1], 1, 7, 7, 17); // Error in Otten paper
assert_cell(&cm, &[1, 2], 0, 4, 7, 7);
assert_cell(&cm, &[2, 2], 0, 0, 3, 3);
assert_cell(&cm, &[3, 2], 0, 0, 0, 1);
assert_cell(&cm, &[0, 2], 0, 7, 7, 11);
assert_cell(&cm, &[1, 0], 0, 7, 7, 11);
assert_cell(&cm, &[2, 0], 0, 6, 6, 14);
assert_cell(&cm, &[3, 0], 1, 1, 1, 3);
assert_cell(&cm, &[0, 0], 1, 14, 14, 28);
// Remaining Welsh man, Welsh woman doomed
cm[&[3, 1]].cands -= 1;
cm[&[3, 2]].cands -= 1;
// Election of 2 English men, 2 English women
// Exclusion of 1 Scottish woman
cm[&[1, 1]].elected += 2;
cm[&[1, 2]].elected += 2;
cm[&[2, 2]].cands -= 1;
cm.recount_cands();
while !cm.step().expect("No conformant result") {}
println!("{}", cm);
assert_cell(&cm, &[1, 1], 2, 2, 2, 4);
assert_cell(&cm, &[2, 1], 0, 4, 4, 11);
assert_cell(&cm, &[3, 1], 1, 1, 1, 1);
assert_cell(&cm, &[0, 1], 3, 7, 7, 16); // Error in Otten paper
assert_cell(&cm, &[1, 2], 2, 5, 5, 7);
assert_cell(&cm, &[2, 2], 0, 2, 2, 2);
assert_cell(&cm, &[3, 2], 0, 0, 0, 0);
assert_cell(&cm, &[0, 2], 2, 7, 7, 9);
assert_cell(&cm, &[1, 0], 4, 7, 7, 11);
assert_cell(&cm, &[2, 0], 0, 6, 6, 13);
assert_cell(&cm, &[3, 0], 1, 1, 1, 1);
assert_cell(&cm, &[0, 0], 5, 14, 14, 25);
}
}

2
src/lib.rs
View File

@ -19,6 +19,8 @@
//! Open source counting software for various preferential voting election systems
/// Data types and logic for constraints on elections
pub mod constraints;
/// Data types for representing abstract elections
pub mod election;
/// Smart logging framework

9
src/main.rs
View File

@ -184,18 +184,19 @@ fn main() {
// Create and count election according to --numbers
if cmd_opts.numbers == "rational" {
let election: Election<Rational> = Election::from_blt(lines.map(|r| r.expect("IO Error").to_string()).into_iter());
count_election(election, cmd_opts);
// Must specify ::<N> here and in a few other places because ndarray causes E0275 otherwise
count_election::<Rational>(election, cmd_opts);
} else if cmd_opts.numbers == "float64" {
let election: Election<NativeFloat64> = Election::from_blt(lines.map(|r| r.expect("IO Error").to_string()).into_iter());
count_election(election, cmd_opts);
count_election::<NativeFloat64>(election, cmd_opts);
} else if cmd_opts.numbers == "fixed" {
Fixed::set_dps(cmd_opts.decimals);
let election: Election<Fixed> = Election::from_blt(lines.map(|r| r.expect("IO Error").to_string()).into_iter());
count_election(election, cmd_opts);
count_election::<Fixed>(election, cmd_opts);
} else if cmd_opts.numbers == "gfixed" {
GuardedFixed::set_dps(cmd_opts.decimals);
let election: Election<GuardedFixed> = Election::from_blt(lines.map(|r| r.expect("IO Error").to_string()).into_iter());
count_election(election, cmd_opts);
count_election::<GuardedFixed>(election, cmd_opts);
}
}

2
src/stv/meek.rs
View File

@ -210,7 +210,7 @@ fn recompute_keep_values<'s, N: Number>(state: &mut CountState<'s, N>, opts: &ST
}
}
/// Determine if the specified surpluses should be distributed, according to [STVOptions::meek_quota_tolerance]
/// Determine if the specified surpluses should be distributed, according to [STVOptions::meek_surplus_tolerance]
fn should_distribute_surpluses<N: Number>(state: &CountState<N>, has_surplus: &Vec<&Candidate>, opts: &STVOptions) -> bool
where
for<'r> &'r N: ops::Sub<&'r N, Output=N>,

2
src/stv/wasm.rs
View File

@ -77,7 +77,7 @@ macro_rules! impl_type {
#[wasm_bindgen]
#[allow(non_snake_case)]
pub fn [<count_one_stage_$type>](state: &mut [<CountState$type>], opts: &STVOptions) -> Result<bool, JsValue> {
match stv::count_one_stage(&mut state.0, &opts.0) {
match stv::count_one_stage::<[<$type>]>(&mut state.0, &opts.0) {
Ok(v) => Ok(v),
Err(stv::STVError::RequireInput) => Err("RequireInput".into()),
Err(stv::STVError::UnresolvedTie) => Err("UnresolvedTie".into()),

2
tests/aec.rs
View File

@ -77,5 +77,5 @@ fn aec_tas19_rational() {
meek_immediate_elect: false,
pp_decimals: 2,
};
utils::validate_election(stages, records, election, stv_opts, None, &["exhausted", "lbf"]);
utils::validate_election::<Rational>(stages, records, election, stv_opts, None, &["exhausted", "lbf"]);
}

4
tests/meek.rs
View File

@ -93,7 +93,7 @@ fn meek06_ers97_fixed12() {
// Count to completion
stv::count_init(&mut state, &stv_opts);
while !stv::count_one_stage(&mut state, &stv_opts).unwrap() {}
while !stv::count_one_stage::<Fixed>(&mut state, &stv_opts).unwrap() {}
// Check states and keep values
for (candidate, count_card) in state.candidates.iter() {
@ -167,7 +167,7 @@ fn meeknz_ers97_fixed12() {
// Count to completion
stv::count_init(&mut state, &stv_opts);
while !stv::count_one_stage(&mut state, &stv_opts).unwrap() {}
while !stv::count_one_stage::<Fixed>(&mut state, &stv_opts).unwrap() {}
// Check states and keep values
for (candidate, count_card) in state.candidates.iter() {