check / check (push) Canceled after 0s
Members' shares of earnings are split cumulatively by largest remainder in the closes, the members' equity statement, the K-1 worksheet and the viewer, so a member's capital on a given day never moves by a cent when its month is later closed. Old closes replay as they were; the first P3 close carries any true-up. Feature members_cumulative. Kani and Lean proofs of the bounded drift; bookspec examples. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01T3gXMVt7XJPi6ens1or9Dj
249 lines
9.7 KiB
Rust
249 lines
9.7 KiB
Rust
//! The bridge between the proofs and the engine.
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//!
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//! The Kani harnesses (`src/proofs.rs`) prove the accounting kernel on
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//! `i64` money in the smallest unit; the engine runs the same kernel on
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//! `Decimal`. These properties check the two instantiations agree, value
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//! for value, on cents: whatever Kani proved of the `i64` kernel holds of
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//! the `Decimal` one for the same amounts.
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use ledger_core::kernel::{self, Amount, LineError};
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use ledger_core::{AccountType, Side};
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use proptest::prelude::*;
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use rust_decimal::Decimal;
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/// Cents within both instantiations' line range.
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const MAX_CENTS: i64 = 1 << 40;
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fn dec(cents: i64) -> Decimal {
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Decimal::new(cents, 2)
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}
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fn arb_side() -> impl Strategy<Value = Side> {
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prop_oneof![Just(Side::Debit), Just(Side::Credit)]
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}
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fn arb_type() -> impl Strategy<Value = AccountType> {
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prop_oneof![
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Just(AccountType::Asset),
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Just(AccountType::Liability),
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Just(AccountType::Equity),
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Just(AccountType::Revenue),
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Just(AccountType::Expense),
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]
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}
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fn arb_cents() -> impl Strategy<Value = i64> {
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prop_oneof![
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-MAX_CENTS..=MAX_CENTS,
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// Small amounts collide, so balanced entries and zeros show up.
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-3i64..=3,
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]
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}
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/// Lines over four accounts. Balanced entries are rare at random, so half
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/// the time the last line plugs the difference.
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fn arb_lines() -> impl Strategy<Value = Vec<(u8, Side, i64)>> {
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(
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prop::collection::vec((0u8..4, arb_side(), arb_cents()), 0..7),
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any::<bool>(),
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)
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.prop_map(|(mut lines, plug)| {
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if plug && !lines.is_empty() {
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let net: i64 = lines[..lines.len() - 1]
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.iter()
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.map(|&(_, s, a)| if s == Side::Debit { a } else { -a })
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.sum();
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let last = lines.len() - 1;
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if net.abs() > MAX_CENTS {
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// Out of both ranges, where the two differ by design.
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return lines;
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}
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lines[last].1 = if net > 0 { Side::Credit } else { Side::Debit };
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lines[last].2 = net.abs();
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}
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lines
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})
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}
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fn to_dec(lines: &[(u8, Side, i64)]) -> Vec<(u8, Side, Decimal)> {
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lines.iter().map(|&(k, s, a)| (k, s, dec(a))).collect()
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}
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fn sides<T: Copy>(lines: &[(u8, Side, T)]) -> Vec<(Side, T)> {
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lines.iter().map(|&(_, s, a)| (s, a)).collect()
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}
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fn map_err(e: LineError<i64>) -> LineError<Decimal> {
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match e {
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LineError::TooFewLines => LineError::TooFewLines,
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LineError::ZeroAmount => LineError::ZeroAmount,
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LineError::NegativeAmount => LineError::NegativeAmount,
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LineError::OutOfRange => LineError::OutOfRange,
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LineError::Unbalanced { debits, credits } => LineError::Unbalanced {
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debits: dec(debits),
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credits: dec(credits),
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},
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}
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}
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proptest! {
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#![proptest_config(ProptestConfig::with_cases(2000))]
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#[test]
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fn check_lines_agrees(lines in arb_lines()) {
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let i = kernel::check_lines(&sides(&lines)).map_err(map_err);
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let d = kernel::check_lines(&sides(&to_dec(&lines)));
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prop_assert_eq!(i, d);
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}
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#[test]
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fn sums_agree(lines in arb_lines()) {
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let (i, d) = (sides(&lines), sides(&to_dec(&lines)));
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let ti = kernel::totals(i.iter().copied()).unwrap();
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let td = kernel::totals(d.iter().copied()).unwrap();
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prop_assert_eq!((dec(ti.0), dec(ti.1)), td);
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prop_assert_eq!(
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kernel::net(i.iter().copied()).map(dec),
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kernel::net(d.iter().copied())
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);
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let mi: Vec<_> = kernel::movements(lines.iter().copied())
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.unwrap()
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.into_iter()
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.map(|(k, m)| (k, dec(m)))
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.collect();
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prop_assert_eq!(Some(mi), kernel::movements(to_dec(&lines)));
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}
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#[test]
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fn reversal_agrees(lines in arb_lines()) {
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let ri: Vec<_> = kernel::reversal(&lines)
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.into_iter()
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.map(|(k, s, a)| (k, s, dec(a)))
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.collect();
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prop_assert_eq!(ri, kernel::reversal(&to_dec(&lines)));
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}
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#[test]
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fn balances_agree(t in arb_type(), m in arb_cents()) {
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prop_assert_eq!(kernel::normal_balance(t, m).map(dec), kernel::normal_balance(t, dec(m)));
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let ci = kernel::columns(m).unwrap();
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prop_assert_eq!(Some((dec(ci.0), dec(ci.1))), kernel::columns(dec(m)));
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prop_assert_eq!(
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kernel::closing_line(m).map(|(s, a)| (s, dec(a))),
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kernel::closing_line(dec(m))
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);
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prop_assert_eq!(
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kernel::credit_line(m).map(|(s, a)| (s, dec(a))),
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kernel::credit_line(dec(m))
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);
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}
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#[test]
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fn plug_last_agrees(whole in arb_cents(), parts in prop::collection::vec(arb_cents(), 0..5)) {
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let mut pi = parts.clone();
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let mut pd: Vec<Decimal> = parts.iter().copied().map(dec).collect();
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kernel::plug_last(whole, &mut pi).unwrap();
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kernel::plug_last(dec(whole), &mut pd).unwrap();
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prop_assert_eq!(pi.into_iter().map(dec).collect::<Vec<_>>(), pd);
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}
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#[test]
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fn apportion_agrees(
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parts in prop::collection::vec(arb_cents(), 0..5),
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rems in prop::collection::vec(0i64..100, 5),
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short in 0i64..500,
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) {
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let n = parts.len();
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let whole: i64 = parts.iter().sum::<i64>() + short;
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let mut pi = parts.clone();
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let mut pd: Vec<Decimal> = parts.iter().copied().map(dec).collect();
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let ri = &rems[..n];
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let rd: Vec<Decimal> = ri.iter().copied().map(dec).collect();
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let oi = kernel::apportion(whole, &mut pi, ri, 100);
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let od = kernel::apportion(dec(whole), &mut pd, &rd, dec(100));
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prop_assert_eq!(oi.is_some(), od.is_some());
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if oi.is_some() {
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prop_assert_eq!(pi.into_iter().map(dec).collect::<Vec<_>>(), pd);
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}
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}
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#[test]
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fn line_range_agrees(cents in arb_cents()) {
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prop_assert_eq!(cents.in_line_range(), dec(cents).in_line_range());
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}
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#[test]
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fn apportion_cumulative_agrees(
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parts in prop::collection::vec(arb_cents(), 0..5),
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rems in prop::collection::vec(0i64..100, 5),
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given in prop::collection::vec(arb_cents(), 5),
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short in 0i64..500,
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unpaired in any::<bool>(),
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) {
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let n = parts.len();
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let whole: i64 = parts.iter().sum::<i64>() + short;
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// Past both line ranges the two differ by design (i64's is 2^40
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// units, Decimal's a quadrillion).
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prop_assume!(whole.unsigned_abs() <= MAX_CENTS as u64);
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let mut pi = parts.clone();
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let mut pd: Vec<Decimal> = parts.iter().copied().map(dec).collect();
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let ri = &rems[..n];
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let rd: Vec<Decimal> = ri.iter().copied().map(dec).collect();
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// Sometimes one `given` too many: both refuse.
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let gi = &given[..(n + usize::from(unpaired)).min(5)];
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let gd: Vec<Decimal> = gi.iter().copied().map(dec).collect();
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let oi = kernel::apportion_cumulative(whole, &mut pi, ri, 100, gi);
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let od = kernel::apportion_cumulative(dec(whole), &mut pd, &rd, dec(100), &gd);
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prop_assert_eq!(oi.is_some(), od.is_some());
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prop_assert_eq!(pi.into_iter().map(dec).collect::<Vec<_>>(), pd);
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}
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/// periods::allocate_cumulative, on Decimal shares w_i / W (exact:
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/// W is 100 or 10,000), against its integer model at cents: floors
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/// |T|·w_i div W, remainders |T|·w_i mod W, kernel::apportion_cumulative
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/// at i64, a loss as the negated gain (the model Kani's
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/// cumulative_close_never_drifts_a_unit_at_* and Lean's allocW prove).
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#[test]
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fn allocate_cumulative_agrees_with_the_integer_model(
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four_places in any::<bool>(),
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cuts in prop::collection::vec(0i64..=10_000, 0..3),
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closed in -10_000_000i64..10_000_000,
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net in -10_000_000i64..10_000_000,
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spread in prop::collection::vec(-5_000i64..5_000, 3),
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) {
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// Weights summing to W: the gaps between sorted cut points.
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let big_w: i64 = if four_places { 10_000 } else { 100 };
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let mut points: Vec<i64> = cuts.iter().map(|c| c % (big_w + 1)).collect();
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points.push(0);
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points.push(big_w);
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points.sort_unstable();
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let weights: Vec<i64> = points.windows(2).map(|w| w[1] - w[0]).filter(|&w| w > 0).collect();
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let n = weights.len();
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let scale = if four_places { 4 } else { 2 };
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let shares: Vec<Decimal> = weights.iter().map(|&w| Decimal::new(w, scale)).collect();
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// What earlier closes gave: anything summing to what they closed.
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let mut given: Vec<i64> = spread[..n - 1].to_vec();
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given.push(closed - given.iter().sum::<i64>());
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let total = closed + net;
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let got = ledger_core::periods::allocate_cumulative(
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dec(total),
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&shares,
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&given.iter().copied().map(dec).collect::<Vec<_>>(),
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2,
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)
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.unwrap();
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let magnitude = total.abs();
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let mut parts: Vec<i64> = weights.iter().map(|w| magnitude * w / big_w).collect();
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let rems: Vec<i64> = weights.iter().map(|w| magnitude * w % big_w).collect();
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let against: Vec<i64> = given.iter().map(|&g| if total < 0 { -g } else { g }).collect();
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kernel::apportion_cumulative(magnitude, &mut parts, &rems, 1, &against).unwrap();
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let want: Vec<Decimal> = parts.iter().map(|&p| dec(if total < 0 { -p } else { p })).collect();
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prop_assert_eq!(&got, &want);
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prop_assert_eq!(got.iter().sum::<Decimal>(), dec(net));
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for ((g, p), w) in given.iter().zip(&got).zip(&weights) {
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let drift = (dec(*g) + p) * Decimal::from(big_w) - dec(total) * Decimal::from(*w);
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prop_assert!(drift.abs() < Decimal::from(big_w) / Decimal::from(100), "{drift}");
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}
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}
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}
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