refactor(sim/core): Rename runBlockingSimulation to runSimulation

This change renames the method `runBlockingSimulation` to
`runSimulation` to put more emphasis on the simulation part of the
method. The blocking part is not that important, but this behavior is
still described in the method documentation.

2 files changed, 6 insertions, 6 deletions

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 119ead46..eee8b730 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
@@ -30,7 +30,7 @@ import org.opendc.experiments.tf20.distribute.MirroredStrategy
 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.runBlockingSimulation
+import org.opendc.simulator.kotlin.runSimulation
 import java.util.*
 
 /**
@@ -41,7 +41,7 @@ class TensorFlowTest {
      * Smoke test that tests the capabilities of the TensorFlow application model in OpenDC.
      */
     @Test
-    fun testSmokeAlexNet() = runBlockingSimulation {
+    fun testSmokeAlexNet() = runSimulation {
         val envInput = checkNotNull(TensorFlowTest::class.java.getResourceAsStream("/kth.json"))
         val def = MLEnvironmentReader().readEnvironment(envInput).first()
 
@@ -71,7 +71,7 @@ class TensorFlowTest {
      * Smoke test that tests the capabilities of the TensorFlow application model in OpenDC.
      */
     @Test
-    fun testSmokeVGG() = runBlockingSimulation {
+    fun testSmokeVGG() = runSimulation {
         val envInput = checkNotNull(TensorFlowTest::class.java.getResourceAsStream("/kth.json"))
         val def = MLEnvironmentReader().readEnvironment(envInput).first()
 
@@ -101,7 +101,7 @@ class TensorFlowTest {
      * Smoke test that tests the capabilities of the TensorFlow application model in OpenDC.
      */
     @Test
-    fun testSmokeDistribute() = runBlockingSimulation {
+    fun testSmokeDistribute() = runSimulation {
         val envInput = checkNotNull(TensorFlowTest::class.java.getResourceAsStream("/kth.json"))
         val def = MLEnvironmentReader().readEnvironment(envInput).first()
 
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 bc561721..966ca5ef 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
@@ -31,7 +31,7 @@ import org.opendc.simulator.compute.model.MemoryUnit
 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.runBlockingSimulation
+import org.opendc.simulator.kotlin.runSimulation
 import java.util.*
 
 /**
@@ -39,7 +39,7 @@ import java.util.*
  */
 internal class SimTFDeviceTest {
     @Test
-    fun testSmoke() = runBlockingSimulation {
+    fun testSmoke() = runSimulation {
         val puNode = ProcessingNode("NVIDIA", "Tesla V100", "unknown", 1)
         val pu = ProcessingUnit(puNode, 0, 960 * 1230.0)
         val memory = MemoryUnit("NVIDIA", "Tesla V100", 877.0, 32_000)