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/nw-tdd-cross-language

Port the state-delta + property-based testing paradigm to languages other than Python. DIY recipes per language; canonical Python ref shipped in nwave_ai.state_delta.

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$ npx -y skills add nWave-ai/nWave --skill nw-tdd-cross-language --agent claude-code

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Port the state-delta + property-based testing paradigm to languages other than Python. DIY recipes per language; canonical Python ref shipped in nwave_ai.state_delta.

SKILL.md

nw-tdd-cross-language.SKILL.md
name: nw-tdd-cross-language
description: Port the state-delta + property-based testing paradigm to languages other than Python. DIY recipes per language; canonical Python ref shipped in nwave_ai.state_delta.
user-invocable: false
disable-model-invocation: true

Cross-Language Paradigm Porting Guide

The state-delta + property-based testing paradigm (see `nw-tdd-methodology::Paradigm Mandate`) is shipped natively in Python via `nwave_ai.state_delta`. This skill documents how to apply the same paradigm in other languages with idiomatic adaptations.

**Open source positioning** (nwave-ai master): Python canonical + DIY porting guide. Users in other languages port the pattern using their language's PBT library + a small state-delta shim (~70-150 LOC).

**Enterprise positioning** (nwave-pro bundle, deferred): pre-built language packages with tested implementations, kept consistent across versions.

---

Per-language framework + PBT library matrix

| Language | Test framework | PBT library | State-delta port size | Idiomatic notes | |---|---|---|---|---| | **Python** | pytest | Hypothesis | shipped (`nwave_ai.state_delta`, ~250 LOC) | Reference implementation. Closure-over-parameters predicates, frozen dataclass `Violation`. | | **TypeScript / JS** | vitest, jest, mocha | `fast-check` | ~80 LOC | Generics over `Old, New`. Predicate = `(old: O, new: N) => boolean`. Use `expect.fail()` for AssertionError equivalent. | | **Java** | JUnit 5 | `jqwik` | ~120 LOC | Verbose generics (`Predicate<O, N>`). Builder pattern for `assertStateDelta(...)` fluent API. Use `AssertionError`. | | **Kotlin** | kotest (built-in PBT) | native | ~80 LOC | DSL idiomatic — `assertStateDelta { universe(...) ; expected(...) }`. Lambda predicates fit naturally. | | **F# / .NET** | xUnit, NUnit | `FsCheck` | ~70 LOC | Functional fit naturale. Discriminated unions for `Violation`, partial application for predicate factories. | | **Rust** | cargo test | `proptest` | ~100 LOC | `Fn` traits for predicates. `struct Violation` with derive(Clone, Debug). Returns `Result<(), AssertionError>`. | | **Go** | testing | `gopter`, `quick` | ~150 LOC | More verbose due to lack of closures over generics. Predicate = function accepting `interface{}`. Use `t.Errorf` for assertion. | | **OCaml** | alcotest | `qcheck` | ~70 LOC | Functional fit naturale. Variant types for `Violation`, partial application natural. | | **Scala** | ScalaTest | `ScalaCheck` | ~80 LOC | Pattern matching for `Violation`, implicit conversions for fluent predicate composition. |

---

Canonical Python reference

**API contract** (locked at pilot, see `nwave_ai.state_delta.matcher`):

def assert_state_delta(
    before: Mapping[str, Any],
    after: Mapping[str, Any],
    universe: set[str],
    expected: Mapping[str, Predicate],
    *,
    strict: bool = False,
) -> None: ...

Predicate = Callable[[Any, Any], bool]

# 8 predicate factories:
def prepended_with(prefix: str, sep: str = ":") -> Predicate: ...
def appended_with(suffix: str, sep: str = ":") -> Predicate: ...
def unchanged() -> Predicate: ...
def set_to(value: Any) -> Predicate: ...
def containing(substring: str) -> Predicate: ...
def normalized_to(normalizer: Callable[[Any], Any]) -> Predicate: ...
def idempotent_after(prefix: str, sep: str = ":") -> Predicate: ...
def legacy_healed(detector: Callable[[Any], bool], healed_check: Callable[[Any], bool]) -> Predicate: ...

**Semantics**:

  • For each key in `universe`:
  • If in `expected`: predicate must return True
  • If NOT in `expected`: implicit-unchanged (`before[k] == after[k]`)
  • `strict=True`: keys in `(before|after) - universe` raise `kind=strict_universe_mismatch`
  • Multi-violation: ALL violations collected, ONE AssertionError raised

---

Porting recipe (language-agnostic)

For ANY language, the port is a small shim around the language's PBT library + an `assert_state_delta` function that captures the multi-violation collection semantics. **Keep it small (~70-150 LOC). Do not over-engineer.**

Step 1 — Translate the API contract

Adapt the function signatures using language-idiomatic types:

  • Universe = set/list of strings (`Set<String>`, `string[]`, `&[String]`, etc.)
  • Expected = map of string → predicate (`Map<String, Predicate>`, `{[key: string]: Predicate}`, `HashMap<String, Box<dyn Fn>>`)
  • Predicate = callable taking `(old, new) → bool`

Step 2 — Implement the multi-violation collector

function assert_state_delta(before, after, universe, expected, strict=false):
    violations = []
    for key in universe:
        if key in expected:
            predicate = expected[key]
            if not predicate(before[key], after[key]):
                violations.append(predicate_failed_violation(key, before[key], after[key]))
        else:
            if before[key] != after[key]:
                violations.append(undeclared_change_violation(key, before[key], after[key]))
    if strict:
        for key in (before.keys ∪ after.keys) - universe:
            violations.append(strict_universe_mismatch_violation(key, before.get(key), after.get(key)))
    if violations:
        raise AssertionError(format_multiline_message(violations))

Step 3 — Implement the 8 predicate factories

Each factory closes over its parameters and returns a callable. Use language-idiomatic closure mechanism:

  • TypeScript: arrow functions
  • Rust: `move` closures returning `impl Fn(...) -> bool`
  • F#: partial application
  • Java: anonymous inner class or lambda + `Function`/`BiPredicate`
  • Go: function returning `func(old, new interface{}) bool`

Step 4 — Hook to PBT library

Combine with language's PBT library. The PBT library generates inputs; `assert_state_delta` validates the post-action state.

property "installer preserves user PATH":
    forall(path: gen_realistic_path):
        before = capture_state()
        installer.install(path)
        after = capture_state()
        assert_state_delta(bef
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