Add agent rehearsal harness, findings, and per-run evidence for split-loop-with-lambda
Six scripted pi sub-agent runs (3 tool regimes × 2 models) rehearsed the exercise; deterministic gate = solution test + approved file. Key results: mandated CLI triples cost on the strong model (4:06 vs 0:39, PASS both); weak model fails only under the mandate (A+Q), passes when free or optional. Drift documented with code: scorer.updateSelection left inside the extracted method (A+Q, C+Q). Harness in tools/rehearse; summary in rehearsal-findings.md; per-run evidence in rehearsal-runs/; cheat sheet in rehearse-with-agent.md corrected (lambda-typed parameters unsupported).
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The test compilation error is expected — the test still calls the old `longRangeForecast("Q1")` signature which has been replaced by the no-arg overload and the new `LongFunction<Boolean>` parameterized version, per the task requirements. The AGENTS.md notes that test failures are expected.
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---
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## Refactoring complete. Final diff of `LongRangeForecasts.java`:
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```diff
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import java.util.*;
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+import java.util.function.LongFunction;
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public class LongRangeForecasts {
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private final Scorer scorer = new Scorer();
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- public Map<IceCream, Integer> longRangeForecast(String quarter) {
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+ public Map<IceCream, Integer> longRangeForecast() {
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+ return longRangeForecast(d -> scorer.lookupWeather(d));
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+ }
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+ public Map<IceCream, Integer> longRangeForecast(LongFunction<Boolean> dayOffsetToWeather) {
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var result = new HashMap<IceCream, Integer>();
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- if (Objects.equals(quarter, "Q1") || Objects.equals(quarter, "Q4")) {
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- for (IceCream flavour : IceCream.values()) {
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- result.put(flavour, 5);
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- }
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- }
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for (IceCream flavour : IceCream.values()) {
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result.put(flavour, 0);
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}
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@@ -25,15 +24,7 @@
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Instant.parse("2023-06-05T14:00:00.000-07:00"),
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Instant.parse("2023-06-23T14:00:00.000-07:00")
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);
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- List<Boolean> expectedWeather = new ArrayList<>();
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- for (Instant interestingDate : interestingDates) {
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- scorer.updateSelection();
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- var forecastDate = Instant.parse("2023-04-26T14:00:00.000-07:00");
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- long daysForward = ChronoUnit.DAYS.between(forecastDate, interestingDate);
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- Boolean lookupWeather = scorer.lookupWeather(daysForward);
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- expectedWeather.add(lookupWeather);
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- }
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-
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+ List<Boolean> expectedWeather = collectExpectedWeather(interestingDates, dayOffsetToWeather);
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for (IceCream flavour : result.keySet()) {
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result.put(flavour, result.get(flavour) + 10);
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var sunnyHolidays = expectedWeather.stream().filter(s -> s).count();
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@@ -46,4 +37,15 @@
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}
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return result;
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}
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+
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+ private List<Boolean> collectExpectedWeather(List<Instant> dates, LongFunction<Boolean> dayOffsetToWeather) {
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+ List<Boolean> expectedWeather = new ArrayList<>();
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+ for (Instant date : dates) {
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+ scorer.updateSelection();
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+ var forecastDate = Instant.parse("2023-04-26T14:00:00.000-07:00");
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+ long daysForward = ChronoUnit.DAYS.between(forecastDate, date);
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+ expectedWeather.add(dayOffsetToWeather.apply(daysForward));
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+ }
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+ return expectedWeather;
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+ }
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}
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```
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## Summary of changes:
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| Step | Change |
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|------|--------|
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| **1** | Added `import java.util.function.LongFunction`; introduced `dayOffsetToWeather` lambda wrapping `scorer.lookupWeather()` in the original method body, replacing direct scorer calls |
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| **2** | Extracted the weather-collection loop into a new `private List<Boolean> collectExpectedWeather(List<Instant>, LongFunction<Boolean>)` method |
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| **3** | Removed `String quarter` parameter; added a **no-arg** `longRangeForecast()` that delegates to the parameterized overload wrapping the `scorer`; renamed the main method to accept `LongFunction<Boolean> dayOffsetToWeather` |
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