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.teamcity/src/main/kotlin/configurations/SmokeTests.kt
features { publishBuildStatusToGithub(model) } tcParallelTests(splitNumber) requirements { // Smoke tests is usually heavy and the build time is twice on EC2 agents requiresNotEc2Agent() } applyTestDefaults( model, this, ":smoke-test:$task", timeout = 120,
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.teamcity/src/main/kotlin/configurations/SmokeIdeTests.kt
name = "Smoke Ide Tests" description = "Tests against IDE sync process" features { publishBuildStatusToGithub(model) } requirements { // These tests are usually heavy and the build time is twice on EC2 agents requiresNotEc2Agent() } applyTestDefaults( model = model, buildType = this, gradleTasks = ":smoke-ide-test:smokeIdeTest",
Plain Text - Registered: Wed May 08 11:36:15 GMT 2024 - Last Modified: Fri Apr 05 14:05:00 GMT 2024 - 1.4K bytes - Viewed (0) -
build-logic/integration-testing/src/main/kotlin/gradlebuild/integrationtests/tasks/IntegrationTest.kt
import org.gradle.api.tasks.PathSensitive import org.gradle.api.tasks.PathSensitivity /** * Verifies the correct behavior of a feature, as opposed to just a small unit of code. * Usually referred to as 'functional tests' in literature, but our code base has historically * been using the term 'integration test'. */ @CacheableTask abstract class IntegrationTest : DistributionTest() {
Plain Text - Registered: Wed Mar 27 11:36:08 GMT 2024 - Last Modified: Wed Dec 09 08:14:05 GMT 2020 - 2K bytes - Viewed (0) -
docs/site-replication/README.md
However, this means that STS tokens signed previously by root credentials will no longer be valid upon upgrading to the latest version with this change. Please re-generate them as you usually do. Additionally, if site replication is ever removed - the STS tokens will become invalid, regenerate them as you usually do....
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.github/pull_request_template.md
Following this checklist to help us incorporate your contribution quickly and easily: - [ ] Make sure there is a [JIRA issue](https://issues.apache.org/jira/browse/MNG) filed for the change (usually before you start working on it). Trivial changes like typos do not require a JIRA issue. Your pull request should address just this issue, without pulling in other changes.
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analysis/analysis-api-fe10/src/org/jetbrains/kotlin/analysis/api/descriptors/utils/InlineFunctionAnalyzer.kt
private val inlineFunctionsWithBody: MutableSet<KtDeclarationWithBody> = mutableSetOf() /** * Collects all inline function calls in an [element] (usually a file) and follows each transitively. */ fun analyze(element: KtElement) { val project = element.project val nextInlineFunctions = HashSet<KtDeclarationWithBody>()
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ci/official/README.md
# Ex. no_upload -- Disable all uploads, usually for temporary CI issues # Recommended: use a local+remote cache. # # Bazel will cache your builds in tensorflow/build_output/cache, # and will also try using public build cache results to speed up # your builds. This usually saves a lot of time, especially when # re-running tests. However, note that: #
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common-protos/k8s.io/api/scheduling/v1beta1/generated.proto
// the smallest value of such global default PriorityClasses will be used as the default priority. // +optional optional bool globalDefault = 3; // description is an arbitrary string that usually provides guidelines on // when this priority class should be used. // +optional optional string description = 4; // preemptionPolicy is the Policy for preempting pods with lower priority.
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okhttp/src/main/kotlin/okhttp3/Call.kt
@Throws(IOException::class) fun execute(): Response /** * Schedules the request to be executed at some point in the future. * * The [dispatcher][OkHttpClient.dispatcher] defines when the request will run: usually * immediately unless there are several other requests currently being executed. * * This client will later call back `responseCallback` with either an HTTP response or a failure * exception. *
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docs/distributed/DECOMMISSION.md
# Decommissioning Decommissiong is a mechanism in MinIO to drain older pools (usually with old hardware) and migrate the content from such pools to a newer pools (usually better hardware). Decommissioning spreads the data across all pools - for example, if you decommission `pool1`, all the data from `pool1` spreads across `pool2` and `pool3`. ## Features
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