* Tests that <code>a:2.0</code> wins in the scenario:
     * <pre>
     * a:1.0
     * a:2.0
     * </pre>
     */
    @Test
    void testEqual() {
        ResolutionNode a1n = createResolutionNode(a1);
        ResolutionNode a2n = createResolutionNode(a2);

        assertResolveConflict(a2n, a1n, a2n);
    }

    /**
     * Tests that <code>a:2.0</code> wins in the scenario:
     * <pre>
     * a:2.0
     * a:1.0

            performanceSubProject = "performance",
            bucketIndex = bucketIndex,
            extraParameters = "--profiler $profiler --tests \"${performanceScenario.scenario.className}.${performanceScenario.scenario.scenario}\"",

        get() = PerformanceTestType.adHoc

    override
    val failsStage: Boolean
        get() = false

    val buildSpecs: List<FlameGraphGenerationBuildSpec>
        get() = scenarios.flatMap { scenario ->
            Os.values().flatMap { os ->
                val arch = if (os == Os.MACOS) Arch.AARCH64 else Arch.AMD64
                if (os == Os.WINDOWS) {
                    listOf("jprofiler")

abstract class AdHocPerformanceScenario(os: Os, arch: Arch = Arch.AMD64) : BuildType({
    val id = "Util_Performance_AdHocPerformanceScenario${os.asName()}${arch.asName()}"
    name = "AdHoc Performance Scenario - ${os.asName()} ${arch.asName()}"
    id(id)

    applyPerformanceTestSettings(os = os, arch = arch, timeout = 420)
    artifactRules = individualPerformanceTestArtifactRules

    params {
        text(

     * Tests that <code>a:1.0</code> wins in the scenario:
     * <pre>
     * a:1.0
     * a:2.0
     * </pre>
     */
    @Test
    void testEqual() {
        ResolutionNode a1n = createResolutionNode(a1);
        ResolutionNode a2n = createResolutionNode(a2);

        assertResolveConflict(a1n, a1n, a2n);
    }

    /**
     * Tests that <code>a:2.0</code> wins in the scenario:
     * <pre>
     * a:2.0
     * a:1.0

     * Tests that <code>a:1.0</code> wins in the scenario:
     * <pre>
     * a:1.0
     * a:2.0
     * </pre>
     */
    @Test
    void testEqual() {
        ResolutionNode a1n = createResolutionNode(a1);
        ResolutionNode a2n = createResolutionNode(a2);

        assertResolveConflict(a1n, a1n, a2n);
    }

    /**
     * Tests that <code>a:2.0</code> wins in the scenario:
     * <pre>
     * a:2.0
     * a:1.0

     * Tests that <code>a:1.0</code> wins in the scenario:
     * <pre>
     * a:1.0
     * a:2.0
     * </pre>
     */
    @Test
    void testEqual() {
        ResolutionNode a1n = createResolutionNode(a1);
        ResolutionNode a2n = createResolutionNode(a2);

        assertResolveConflict(a1n, a1n, a2n);
    }

    /**
     * Tests that <code>a:1.0</code> wins in the scenario:
     * <pre>
     * a:2.0
     * a:1.0

are skipped, and any checks implemented inside the shape inference code are not
executed.

The security impact of skipping those checks should be low, since the attack
scenario would require a malicious user to be able to control the model which as
stated above is already equivalent to code execution. In any case, the
recommendation is not to serve models using Eager mode since it also has

          maxSize = 50L * 1024L * 1024L // 50 MiB
      ))
      .build()
```

## EventListener events 

Cache Events are exposed via the EventListener API.  Typical scenarios are below.

### Cache Hit

In the ideal scenario the cache can fulfill the request without any conditional call to the network.
This will skip the normal events such as DNS, connecting to the network, and downloading the response body.

## Overview

MinIO implements an S3 extension to perform multiple concurrent fan-out upload operations. A perfect use case scenario for performing fan-out operations of incoming TSB (Time Shift Buffer's). TSBs are a method of facilitating time-shifted playback of television signaling, and media content.