PER_DAY(
        displayName = "Slow Performance Regression Test",
        timeout = 420,
        channel = "commits",
    ),
    PER_WEEK(
        displayName = "Performance Experiment",
        timeout = 420,
        channel = "experiments",
    ),
    FLAKINESS_DETECTION(
        displayName = "Performance Test Flakiness Detection",
        timeout = 600,
        defaultBaselines = "flakiness-detection-commit",

     * determined experimentally to match our desired probability of false positives.
     */
    // NB: yes, this is surprisingly high, but that's what the experiments said was necessary
    // Raising this number slows the worst-case contains behavior, speeds up hashFloodingDetected,
    // and reduces the false-positive probability.
    static final int MAX_RUN_MULTIPLIER = 13;

			return i
		}
		i++
		fails++
		if fails >= 4+i>>4 && i < t {
			// Give up on IndexByte, it isn't skipping ahead
			// far enough to be better than Rabin-Karp.
			// Experiments (using IndexPeriodic) suggest
			// the cutover is about 16 byte skips.
			// TODO: if large prefixes of sep are matching
			// we should cutover at even larger average skips,

*.eu-south-1.airflow.amazonaws.com
*.eu-south-2.airflow.amazonaws.com
*.eu-west-1.airflow.amazonaws.com
*.eu-west-2.airflow.amazonaws.com
*.eu-west-3.airflow.amazonaws.com
*.ewp.live
*.ex.futurecms.at
*.ex.ortsinfo.at
*.experiments.sagemaker.aws
*.firenet.ch
*.fk
*.frusky.de
*.futurecms.at
*.gateway.dev
*.hosted.app
*.hosting.myjino.ru
*.hosting.ovh.net
*.id.pub
*.il-central-1.airflow.amazonaws.com
*.in.futurecms.at
*.jm

  /**
   * A map of contents pre-created before experiment starts to only measure map creation cost. The
   * implementation for the creation of contents is independent and could be different from that of
   * the map under test.
   */
  Map<Element, Element> contents;

  /** Map pre-created before experiment starts to only measure iteration cost during experiment. */
  Map<Element, Element> map;

## Quick Start

{
  "performanceTests" : [ {
    "testId" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslConfigurationPerformanceTest.configure",
    "groups" : [ {
      "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
      "coverage" : {
        "per_commit" : [ "linux", "macOs", "windows" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.clean checkout",

*.eu-south-1.airflow.amazonaws.com
*.eu-south-2.airflow.amazonaws.com
*.eu-west-1.airflow.amazonaws.com
*.eu-west-2.airflow.amazonaws.com
*.eu-west-3.airflow.amazonaws.com
*.ewp.live
*.ex.futurecms.at
*.ex.ortsinfo.at
*.experiments.sagemaker.aws
*.firenet.ch
*.fk
*.frusky.de
*.futurecms.at
*.gateway.dev
*.hosted.app
*.hosting.myjino.ru
*.hosting.ovh.net
*.id.pub
*.il-central-1.airflow.amazonaws.com
*.in.futurecms.at
*.jm

[ {
  "scenario" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.clean checkout",
  "durations" : [ {
    "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
    "linux" : 450
  } ]
}, {
  "scenario" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.cold daemon",
  "durations" : [ {
    "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
    "linux" : 422
  } ]

ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source...