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okhttp/src/main/kotlin/okhttp3/internal/platform/Platform.kt
} open fun logCloseableLeak( message: String, stackTrace: Any?, ) { var logMessage = message if (stackTrace == null) { logMessage += " To see where this was allocated, set the OkHttpClient logger level to " + "FINE: Logger.getLogger(OkHttpClient.class.getName()).setLevel(Level.FINE);" } log(logMessage, WARN, stackTrace as Throwable?) }
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okhttp/src/main/kotlin/okhttp3/internal/platform/Android10Platform.kt
} } override fun logCloseableLeak( message: String, stackTrace: Any?, ) { if (Build.VERSION.SDK_INT >= 30) { (stackTrace as CloseGuard).warnIfOpen() } else { // Unable to report via CloseGuard. As a last-ditch effort, send it to the logger. super.logCloseableLeak(message, stackTrace) } } @SuppressLint("NewApi")
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okhttp/src/main/kotlin/okhttp3/Interceptor.kt
* thread's [uncaught exception handler][Thread.UncaughtExceptionHandler]. By default this * crashes the application on Android and prints a stacktrace on the JVM. (Crash reporting * libraries may customize this behavior.) * * A good way to signal a failure is with a synthetic HTTP response: * * ```kotlin * @Throws(IOException::class)
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docs/contribute/concurrency.md
#### Blocking APIs Blocking APIs are convenient because you get top-to-bottom procedural code without indirection. Network calls work like regular method calls: ask for data and it is returned. If the request fails, you get a stacktrace right where the call was made. Blocking APIs may be inefficient because you hold a thread idle while waiting on the network. Threads are expensive because they have both a memory overhead and a context-switching overhead.
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.github/workflows/build.yml
distribution: 'zulu' java-version: 17 - name: Setup Gradle uses: gradle/actions/setup-gradle@v3 - name: Upload Artifacts run: ./gradlew clean publish --stacktrace env: ORG_GRADLE_PROJECT_mavenCentralUsername: ${{ secrets.SONATYPE_NEXUS_USERNAME }} ORG_GRADLE_PROJECT_mavenCentralPassword: ${{ secrets.SONATYPE_NEXUS_PASSWORD }}
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