Add layered formal-verification harness

Adds four complementary layers to verify correctness, all runnable locally,
weakest-but-broadest to strongest-but-narrowest:

  0. Paper proofs (docs/verification.md): Hoare invariants, termination
     measures, and permutation arguments for every algorithm.
  1. Property tests (sort/property_test.go): testing/quick asserting ordering
     AND permutation for every sort. Closes a real gap -- the existing tests
     only checked .Sorted(), so a sort dropping/duplicating elements passed.
  2. make verify: go vet + staticcheck + go test -race -short, with -short
     gating of the large sizes in sort/search tests so the race build is quick.
  3. make verify-model: TLA+/TLC model check of sleep sort (termination,
     deadlock-freedom, sorted permutation) -- formal/tla/.
  4. make verify-formal: Gobra deductive proof (Viper+Z3) that a monomorphized
     insertion sort is memory-safe and sorted for all inputs -- formal/.

The static layer already found a latent bug: hash() used key<<10 on a generic
integer, which silently yields 0 for narrow key types (int8), degrading the
hash. Tests missed it because they only use int keys. Fixed by mixing in int64;
documented extensively in docs/case-study-hash-shift-bug.md.

Also cleans up dead code and a blank-identifier range flagged by staticcheck.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

1 files changed, 255 insertions, 0 deletions

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+# Hand-written correctness proofs
+
+This document contains human-written (paper) correctness proofs for the
+algorithms in this repository, derived by reading the actual source. Each proof
+is a Hoare-style argument: a **precondition**, a **postcondition**, one **loop
+invariant** per loop, a **termination measure**, and — for the sorts — a
+**permutation argument**.
+
+These proofs are the human-readable source of truth. They are *human-checked*,
+not machine-checked; the automated layers corroborate them:
+
+- `sort/property_test.go` checks *ordering* **and** *permutation* on thousands
+  of random inputs (empirical corroboration — see the "permutation" note below).
+- `make verify` runs `go vet`, `staticcheck`, and the race detector. This layer
+  already paid off: it caught a latent bug in `search/hash.go` on its first run
+  — see [`case-study-hash-shift-bug.md`](case-study-hash-shift-bug.md).
+- `formal/tla/SleepSort.tla` exhaustively model-checks the concurrent sleep sort.
+- `formal/insertion.go` is a machine-checked (Gobra) proof of insertion sort.
+
+## Common notation and lemmas
+
+- `a[p..q]` denotes the inclusive slice of indices `p, p+1, …, q`. An empty
+  range (`p > q`) is vacuously sorted and vacuously a permutation of itself.
+- **sorted(a[p..q])** ≡ `∀ p ≤ r < q : a[r] ≤ a[r+1]`.
+- **perm(a, a₀)** ≡ the multiset `{a[0], …, a[n-1]}` equals the multiset of the
+  original contents `a₀`.
+
+### Lemma S (Swap preserves the multiset)
+
+The **only** operation any sort here uses to mutate the backing array is
+`ArrayList.Swap` (`ds/arraylist.go:74`), which exchanges two elements. Swapping
+two positions leaves the multiset of stored values unchanged. By induction over
+the sequence of swaps performed by any algorithm below, **perm(a, a₀) holds at
+every point** — the output is always a permutation of the input. This single
+lemma discharges the permutation half of every sort's postcondition, so the
+per-algorithm proofs below focus on *ordering* and *termination*.
+
+> The exceptions are `Merge`/`BottomUpMerge`, which write elements via `aux`
+> rather than `Swap`; their permutation argument is given inline (Lemma M).
+
+---
+
+## Selection sort — `sort/selection.go:7`
+
+- **Pre:** `a` holds arbitrary values; `l = len(a)`.
+- **Post:** `sorted(a[0..l-1]) ∧ perm(a, a₀)`.
+
+**Outer invariant** (before iteration `i`, `0 ≤ i ≤ l`):
+`sorted(a[0..i-1]) ∧ ∀ p < i ≤ q : a[p] ≤ a[q]` — i.e. the prefix `a[0..i-1]`
+is sorted and every prefix element is ≤ every suffix element.
+
+**Inner loop** (`j := i+1 … l-1`) computes `min` = index of the smallest element
+in `a[i..l-1]` (invariant: `a[min]` is the minimum of `a[i..j-1]`). After the
+loop, `a.Swap(i, min)` moves that minimum to position `i`. This element is ≥ all
+of `a[0..i-1]` (by the outer invariant, everything in `a[i..]` is ≥ the prefix)
+and ≤ everything remaining in `a[i+1..]`, so the outer invariant re-establishes
+for `i+1`.
+
+**Termination:** outer `i` and inner `j` each range over a fixed finite index
+set and strictly increase. **Permutation:** Lemma S. At `i = l` the invariant
+gives `sorted(a[0..l-1])`. ∎
+
+## Insertion sort — `sort/insertion.go:7`
+
+- **Post:** `sorted(a[0..l-1]) ∧ perm(a, a₀)`.
+
+**Outer invariant** (before iteration `i`): `sorted(a[0..i-1])`.
+
+**Inner loop** (`j := i; j > 0; j--`) bubbles `a[i]` left, stopping via `break`
+as soon as `a[j] > a[j-1]` (the pair is already in order) or when `j = 0`.
+**Inner invariant** (at each test): `a[0..i]` is a permutation of its original
+prefix contents; `sorted(a[j..i])`; and `∀ j < r ≤ i : a[r] ≥ a[j]`. When the
+loop stops, the entire prefix `a[0..i]` is sorted, re-establishing the outer
+invariant for `i+1`.
+
+Note the loop swaps on *equality* too (it breaks only on strict `a[j] > a[j-1]`),
+which is harmless — it performs a few extra swaps but preserves both sortedness
+and (by Lemma S) the multiset.
+
+**Termination:** inner measure `j` strictly decreases and is bounded below by 0;
+outer `i` ranges over `range a`. ∎
+
+## Shell sort — `sort/shell.go:7`
+
+Shell sort is insertion sort applied on a decreasing sequence of gaps
+`h ∈ {…, 40, 13, 4, 1}` (built by `h = 3h+1`, then `h /= 3`).
+
+- **Post:** `sorted(a[0..l-1]) ∧ perm(a, a₀)`.
+
+For a fixed gap `h`, the body is an *h-interleaved* insertion sort: the inner
+loop (`j := i; j >= h; j -= h`) inserts `a[i]` into the sorted-by-`h`
+subsequence `…, a[i-2h], a[i-h], a[i]`, breaking when `a[j-h] < a[j]`. By the
+insertion-sort argument applied to each residue class mod `h`, after the `h`
+pass every h-strided subsequence is sorted (the array is "h-sorted").
+
+The final gap is always `h = 1` (the loop condition is `h >= 1` and integer
+division reaches 1). A 1-sorted array is fully `sorted(a[0..l-1])`. The earlier
+larger-gap passes only reorder via `Swap`, so they neither break the final
+1-sort's correctness nor the multiset.
+
+**Termination:** the gap loop strictly decreases `h` via `h /= 3` until `h < 1`;
+each inner loop terminates as in insertion sort. **Permutation:** Lemma S. ∎
+
+## Merge sort — `sort/merge.go:7`
+
+Recursive top-down merge sort; base case (`l ≤ 10`) delegates to insertion sort.
+
+- **Post of `mergeSort(a, aux)`:** `sorted(a) ∧ perm(a, a₀)`.
+
+**Induction on `l = len(a)`.** *Base* (`l ≤ 10`): insertion sort, proven above.
+*Step*: `mi = l/2`; the two recursive calls sort the disjoint halves `a[0..mi-1]`
+and `a[mi..l-1]` (IH). `merge(a, aux, 0, mi, l-1)` then combines them.
+
+### Lemma M (merge is correct and permutation-preserving) — `sort/merge.go:27`
+
+`merge` first copies `a[lo..hi]` into `aux[lo..hi]`, then walks `k = lo … hi`
+with two read cursors `i` (into the left run, starting `lo`) and `j` (into the
+right run, starting `mi`). **Invariant** at each `k`: `a[lo..k-1]` is sorted and
+is exactly the `k-lo` smallest elements of `aux[lo..hi]`, with `i`, `j` pointing
+at the unconsumed heads of the two (individually sorted) runs. The 4-way
+`switch` picks the smaller available head (`aux[i] > aux[j]` → take right, else
+take left; boundary cases when a run is exhausted: `i >= mi` or `j > hi`). Each
+step consumes exactly one source element and advances exactly one cursor, so
+after `hi-lo+1` steps every element of `aux[lo..hi]` has been written back once
+→ `perm` holds and `a[lo..hi]` is sorted. ∎
+
+Because the merge preserves the multiset and produces a sorted whole from two
+sorted halves, the step re-establishes the postcondition.
+
+**Termination:** each recursion halves the length, bottoming out at `l ≤ 10`. ∎
+
+## Bottom-up merge sort — `sort/bottomupmerge.go:7`
+
+Iterative merge sort. **Outer invariant** (before the pass with subarray size
+`sz`, a power of two): every aligned block `a[k·sz .. (k+1)·sz - 1]` is sorted.
+The inner loop merges adjacent pairs of `sz`-blocks via the same `merge`
+(Lemma M), using `min(lo+sz+sz-1, l-1)` (`sort/bottomupmerge.go:20`) to clamp
+the final, possibly short, block to the array end. After the pass, every block
+of size `2·sz` is sorted — the invariant for the next pass.
+
+**Termination:** `sz` doubles (`sz = sz + sz`) until `sz ≥ l`; the loop then
+stops with the whole array as one sorted block. **Permutation:** Lemma M applied
+to each merge. ∎
+
+## Quick sort — `sort/quick.go:9` (highest scrutiny)
+
+Recursive quicksort; base case (`l ≤ 10`) delegates to insertion sort. The
+interesting part is `quickPartition` (`sort/quick.go:25`), examined line by line
+because its index bounds are the most error-prone code in the repo.
+
+Setup for an array of length `l ≥ 11` (partition is only reached from
+`quick` when `l > 10`, so `hi = l-1 ≥ 10`):
+
+```
+i := 0;  j := l;  hi := l-1
+a.Swap(0, median(a, l));  v := a[0]   // pivot chosen by median-of-3, parked at index 0
+```
+
+**Left scan** `for i++; a[i] < v && i < hi; i++`:
+`i` starts at 1. Because the test `i < hi` is ANDed in, `i` can advance at most
+to `hi`; when `i == hi` the guard `i < hi` is false and the loop stops. The
+array access `a[i]` therefore uses indices in `[1, hi] = [1, l-1]` — **always in
+bounds**. The scan stops at the first index with `a[i] ≥ v` (or at `hi`), so on
+exit `∀ 1 ≤ r < i : a[r] < v`.
+
+**Right scan** `for j--; v < a[j] && j > 0; j--`:
+`j` starts at `l`, immediately decremented to `l-1 = hi`. The guard `j > 0`
+caps it at 0; and since `a[0] == v`, the head test `v < a[0]` is false, so the
+scan halts at `j = 0` at the latest — `j` **never goes negative**. Accesses use
+`[0, hi]`. On exit `∀ j < r ≤ hi : a[r] > v`, and `a[j] ≤ v`.
+
+**Loop:** if `i ≥ j` the scans have crossed → `break`; otherwise `a.Swap(i, j)`
+sends the `≥ v` element right and the `≤ v` element left, and the invariant
+`a[1..i-1] < v ∧ a[j+1..hi] > v` is maintained across iterations.
+
+**Finalize** `a.Swap(0, j)`: at break, `a[j] ≤ v` (right scan stopped there), so
+after the swap `a[j] = v` with `a[0..j-1] ≤ v ≤ a[j+1..hi]`. Return `j`.
+
+**Verdict:** the invariant *closes* — no out-of-bounds and no off-by-one. The
+`i < hi` bound and the `a[0] == v` sentinel are exactly what keep the two scans
+in range without relying on external sentinels. Duplicates equal to `v` are
+handled correctly: strict inequalities make both scans stop on equal keys, which
+is the standard technique to avoid quadratic blow-up on many duplicates and does
+not violate the partition postcondition. On the all-equal input the scans meet
+near the middle and the recursion still shrinks, so there is no infinite loop.
+
+`quick` then recurses on `a[0..j-1]` and `a[j+1..]`, which by the partition
+postcondition are correctly ordered relative to `v`; by induction on length the
+whole array is sorted. **Termination:** each partition removes the pivot and
+splits the rest into two strictly-smaller subranges. **Permutation:** Lemma S. ∎
+
+## 3-way quicksort — `sort/quick3way.go:8`
+
+Dijkstra's 3-way (Dutch-national-flag) partition; shuffles first, base case
+(`l ≤ 10`) insertion sort. Pivot `v = a[0]` (after `Swap(0, median)`).
+
+**Invariant** of the partition loop (`for i <= gt`), with `lt`, `i`, `gt`:
+`a[0..lt-1] < v`, `a[lt..i-1] == v`, `a[gt+1..hi] > v`, and `a[i..gt]` unexamined.
+The `switch` maintains it: `a[i] < v` → `Swap(lt, i); lt++; i++`; `a[i] > v` →
+`Swap(i, gt); gt--` (leaves `i`, since the swapped-in element is unexamined);
+`a[i] == v` → `i++`. When `i > gt` the middle band `a[lt..gt]` equals `v` and is
+in final position, so only `a[0..lt-1]` and `a[gt+1..hi]` need recursion.
+
+**Termination:** each iteration either advances `i` or lowers `gt`, so the gap
+`gt - i` strictly decreases; recursion shrinks the ranges. **Permutation:**
+Lemma S. ∎
+
+## Shuffle — `sort/shuffle.go:9` (NOT a sort)
+
+`Shuffle` produces a uniformly random permutation (used by `Quick3Way` and the
+`TestShuffleSort` negative test). For each `i`, `r := l - rand.Intn(l-i) - 1`.
+Since `rand.Intn(l-i) ∈ [0, l-i-1]`, we get `r ∈ [i, l-1]`, so each `Swap(i, r)`
+exchanges `a[i]` with a uniformly chosen element of the unshuffled suffix — this
+is the Fisher–Yates shuffle, yielding each of the `l!` permutations with equal
+probability. **Post:** `perm(a, a₀)` (Lemma S); ordering is intentionally *not*
+guaranteed. ∎
+
+## Parallel merge / parallel quick — `sort/parallelmerge.go:9`, `sort/parallelquick.go:9`
+
+These reuse the sequential `mergeSort`/`quick`/`quickPartition` proven above and
+parallelize the two recursive calls once the length crosses a threshold
+(`< 1000` falls back to sequential).
+
+**Correctness reduces to data-race freedom.** In both, the two goroutines
+operate on **disjoint** subranges:
+
+- `parallelMerge`: `a[0:mi]` / `a[mi:]` and, crucially, `aux[0:mi]` / `aux[mi:]`
+  are non-overlapping slices, so the two subtrees touch disjoint memory. The
+  `wg.Wait()` **happens-before** the top-level `merge`, so the merge observes
+  both halves fully sorted. No goroutine reads memory another writes
+  concurrently.
+- `parallelQuick`: `quickPartition` runs *before* the goroutines are spawned and
+  fixes the pivot at index `j`; the children then own `a[0:j]` and `a[j+1:]` —
+  disjoint, and both exclude the settled pivot `a[j]`. `wg.Wait()` joins before
+  returning.
+
+Given disjointness + the `WaitGroup` join fence, the parallel executions compute
+the same result as their sequential counterparts, whose correctness is proven
+above. The **race detector** (`make verify`) corroborates the disjointness claim
+dynamically. ∎
+
+## Sleep sort — `sort/sleep.go:9`
+
+`Sleep` (integers only) spawns one goroutine per element that sleeps
+`num` seconds, then sends `num` on a shared channel; a `WaitGroup` closes the
+channel once all sends complete; the main goroutine appends received values.
+
+Correctness rests on the *timing assumption* that a larger value's sleep
+finishes strictly later, so values arrive on the channel in non-decreasing
+order. This assumption — and the concurrency safety (the closer goroutine's
+`wg.Wait()` happening-after every `wg.Done()`, no send on a closed channel, and
+termination without deadlock) — is **not** something a paper proof can settle
+convincingly. It is instead model-checked exhaustively in
+`formal/tla/SleepSort.tla`, which is the appropriate tool for this coordination
+logic. See that model and its README for the machine-checked result.