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b993f25c53
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).
63 lines
2.8 KiB
Diff
63 lines
2.8 KiB
Diff
Only in /tmp/rehearsal/runs/C+Q/workspace: AGENTS.md
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diff -ru '--exclude=target' /tmp/rehearsal/pristine/src/main/java/codingdojo/LongRangeForecasts.java /tmp/rehearsal/runs/C+Q/workspace/src/main/java/codingdojo/LongRangeForecasts.java
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--- /tmp/rehearsal/pristine/src/main/java/codingdojo/LongRangeForecasts.java 2026-09-27 14:58:14.139167804 +0000
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+++ /tmp/rehearsal/runs/C+Q/workspace/src/main/java/codingdojo/LongRangeForecasts.java 2026-09-27 15:53:52.292927858 +0000
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@@ -3,19 +3,18 @@
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import java.time.Instant;
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import java.time.temporal.ChronoUnit;
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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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