From 402a8f55342c4565431c2a2e7287a70592f3fe33 Mon Sep 17 00:00:00 2001 From: Fabian Mastenbroek Date: Thu, 6 Oct 2022 12:51:27 +0200 Subject: style: Eliminate use of wildcard imports This change updates the repository to remove the use of wildcard imports everywhere. Wildcard imports are not allowed by default by Ktlint as well as Google's Java style guide. --- .../src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt | 2 +- .../src/test/kotlin/org/opendc/experiments/tf20/core/SimTFDeviceTest.kt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) (limited to 'opendc-experiments/opendc-experiments-tf20/src/test') diff --git a/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt b/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt index eee8b730..f5d35fa4 100644 --- a/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt +++ b/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt @@ -31,7 +31,7 @@ import org.opendc.experiments.tf20.distribute.OneDeviceStrategy import org.opendc.experiments.tf20.util.MLEnvironmentReader import org.opendc.simulator.compute.power.LinearPowerModel import org.opendc.simulator.kotlin.runSimulation -import java.util.* +import java.util.UUID /** * Integration test suite for the TensorFlow application model in OpenDC. diff --git a/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/core/SimTFDeviceTest.kt b/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/core/SimTFDeviceTest.kt index 966ca5ef..85d63e9b 100644 --- a/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/core/SimTFDeviceTest.kt +++ b/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/core/SimTFDeviceTest.kt @@ -32,7 +32,7 @@ import org.opendc.simulator.compute.model.ProcessingNode import org.opendc.simulator.compute.model.ProcessingUnit import org.opendc.simulator.compute.power.LinearPowerModel import org.opendc.simulator.kotlin.runSimulation -import java.util.* +import java.util.UUID /** * Test suite for the [SimTFDevice] class. -- cgit v1.2.3 From 47357afd16f928260db34d4dd3e686fb9ee7c5ff Mon Sep 17 00:00:00 2001 From: Fabian Mastenbroek Date: Thu, 6 Oct 2022 13:13:10 +0200 Subject: build: Switch to Spotless for formatting This change updates the build configuration to use Spotless for code formating of both Kotlin and Java. --- .../org/opendc/experiments/tf20/TensorFlowTest.kt | 28 ++++++++++++++++++---- 1 file changed, 24 insertions(+), 4 deletions(-) (limited to 'opendc-experiments/opendc-experiments-tf20/src/test') diff --git a/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt b/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt index f5d35fa4..c4698058 100644 --- a/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt +++ b/opendc-experiments/opendc-experiments-tf20/src/test/kotlin/org/opendc/experiments/tf20/TensorFlowTest.kt @@ -46,7 +46,12 @@ class TensorFlowTest { val def = MLEnvironmentReader().readEnvironment(envInput).first() val device = SimTFDevice( - def.uid, def.meta["gpu"] as Boolean, coroutineContext, clock, def.model.cpus[0], def.model.memory[0], + def.uid, + def.meta["gpu"] as Boolean, + coroutineContext, + clock, + def.model.cpus[0], + def.model.memory[0], LinearPowerModel(250.0, 60.0) ) val strategy = OneDeviceStrategy(device) @@ -76,7 +81,12 @@ class TensorFlowTest { val def = MLEnvironmentReader().readEnvironment(envInput).first() val device = SimTFDevice( - def.uid, def.meta["gpu"] as Boolean, coroutineContext, clock, def.model.cpus[0], def.model.memory[0], + def.uid, + def.meta["gpu"] as Boolean, + coroutineContext, + clock, + def.model.cpus[0], + def.model.memory[0], LinearPowerModel(250.0, 60.0) ) val strategy = OneDeviceStrategy(device) @@ -106,12 +116,22 @@ class TensorFlowTest { val def = MLEnvironmentReader().readEnvironment(envInput).first() val deviceA = SimTFDevice( - def.uid, def.meta["gpu"] as Boolean, coroutineContext, clock, def.model.cpus[0], def.model.memory[0], + def.uid, + def.meta["gpu"] as Boolean, + coroutineContext, + clock, + def.model.cpus[0], + def.model.memory[0], LinearPowerModel(250.0, 60.0) ) val deviceB = SimTFDevice( - UUID.randomUUID(), def.meta["gpu"] as Boolean, coroutineContext, clock, def.model.cpus[0], def.model.memory[0], + UUID.randomUUID(), + def.meta["gpu"] as Boolean, + coroutineContext, + clock, + def.model.cpus[0], + def.model.memory[0], LinearPowerModel(250.0, 60.0) ) -- cgit v1.2.3