Build update#4
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On the fake pod: ``` INFO[0067] LTK 21f4a9d825ce5e57bad5b4958c6ff95e ``` Logcat: ``` 2021-02-28 18:21:04.763 19530-22490/info.nightscout.androidaps I/PUMPCOMM: [AsyncTask #4]: [OmnipodDashBleManagerImpl.connect():86]: Got LTK: 21f4a9d825ce5e57bad5b4958c6ff95e ``
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Implements several build speed improvements: **gradle.properties (#1, #2, #8, #9):** - Add org.gradle.caching=true (local build cache for all environments) - Add org.gradle.configuration-cache=true (Gradle 9+ compatible) - Fix -Xss1024m → -Xss4m (was 1GB per thread stack; 4MB is standard) - Add -XX:+HeapDumpOnOutOfMemoryError and -XX:MaxMetaspaceSize=512m - Add kotlin.incremental=true and kotlin.incremental.useClasspathSnapshot=true **GH Actions workflows (#4, #8) — aaps-ci.yml, pr-ci.yml, cherry-pick-ci.yml:** - Replace actions/setup-java cache:gradle with gradle/actions/setup-gradle@v4 for better Gradle dependency and build output caching - Fix -Xss1024m → -Xss4m in all Build APKs steps - Remove redundant -Dorg.gradle.caching=true CLI flag (now in gradle.properties) **CircleCI config (#6, #8):** - Fix -Xss1024m → -Xss4m in all gradlew invocations - Restructure single build-and-test job into parallel pipeline: compile → unit-test + instrumented-test (parallel) → coverage Reduces wall time ~3 min by overlapping unit and instrumented tests https://claude.ai/code/session_01GskFzaoUj9aa5LEz86NjKb
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alex-poor
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…ams from own logs Daily background re-tune of insulin-sensitivity / EGP / carb-absorption from the user's own CGM + insulin + carb history. Stateless from the personalize() prior (bounded MAP, Fisher-information-gated so only excited params move, improvement- gated) -> the model is never more than one bounded step from the profile; the basal the user takes is unchanged. Wiring: reIdentifiedModel() runs once/day, reconstructs 10d of IdSamples from the AAPS DB (same pattern as adaptedOperatingBasalUhr), applies accepted multipliers on top of personalizedModel(). Pref-gated OFF by default (BooleanKey.HovorkaParamId). UI transparency: loop-reason note (re-ID ISF+N% / re-ID: no change), read-only "Last model re-tune" settings block (StringKey.HovorkaParamIdStatus), and an INFO notification on every change. In-silico validated (hovorka-mpc/): recovers a real SI drift 3/3, fabricates 0/3 on matched data, +24pp TIR on stale-ISF drift (beats 2d, which is flat there), halves TBR in the more-sensitive/over-dosing direction, never worsens hypo. NOT clinically validated. OFF by default. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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