ObjectSizeLessThan    int64 `xml:"ObjectSizeLessThan,omitempty"`

	And    And
	andSet bool

	Tag    Tag
	tagSet bool

	// Caching tags, only once
	cachedTags map[string]string
}

// MarshalXML - produces the xml representation of the Filter struct
// only one of Prefix, And and Tag should be present in the output.
func (f Filter) MarshalXML(e *xml.Encoder, start xml.StartElement) error {
	if !f.set {
		return nil
	}

        able to discuss the full details of what you're working on.


        But Guava aims to provide functionality that is useful across boundaries of projects,
        companies, or even industries — utilities useful for a sizable proportion of all Java
        programmers everywhere. If you can give enough detail such that any of us can imagine coming

 *
 * Takes the following as input:
 * <ul>
 * <li>A source docbook XML file.</li>
 * <li>Meta-info about the canonical documentation for each class referenced in the document, as produced by {@link gradlebuild.docs.dsl.docbook.AssembleDslDocTask}.</li>
 * </ul>
 *
 */
@CacheableTask
abstract class UserGuideTransformTask extends DefaultTask {

    @PathSensitive(PathSensitivity.NONE)
    @InputFile

		inputMd5        string
		inputDataSize   int64
		expectedMd5     string
	}{
		// Case 1-4.
		// Creating sequence of parts for same uploadID.
		// Used to ensure that the ListMultipartResult produces one output for the four parts uploaded below for the given upload ID.
		{bucketNames[0], objectNames[0], uploadIDs[0], 1, "abcd", "e2fc714c4727ee9395f324cd2e7f331f", int64(len("abcd")), "e2fc714c4727ee9395f324cd2e7f331f"},

    checkState(count() > 1);
    return sumOfProductsOfDeltas / (count() - 1);
  }

  /**
   * Returns the <a href="http://mathworld.wolfram.com/CorrelationCoefficient.html">Pearson's or
   * product-moment correlation coefficient</a> of the values. The count must greater than one, and
   * the {@code x} and {@code y} values must both have non-zero population variance (i.e. {@code

    needlessly verbose and produced a confusing empty string for scalars).
*   `GraphOptions.skip_common_subexpression_elimination` has been removed. All
    graph optimizer options are now specified via
    `GraphOptions.OptimizerOptions`.
*   `ASSERT_OK` / `EXPECT_OK` macros conflicted with external projects, so they
    were renamed `TF_ASSERT_OK`, `TF_EXPECT_OK`. The existing macros are

#     mkl:          Enable full mkl support.
#     nogcp:        Disable GCS support.
#     nonccl:       Disable nccl support.
#
#
# Remote build execution options (only configured to work with TF team projects for now.)
#     rbe_base:  General RBE options shared by all flavors.
#     rbe_linux: General RBE options used on all linux builds.
#     rbe_win_base:   General RBE options used on all Windows builds. Not to be used standalone.

    ]]></description>
  </expression>
  <expression>
    <syntax>project.attachedArtifacts</syntax>
    <description>
      <![CDATA[
      This is a list of attachments to the main artifact produced by building the current POM.
      Attachments are derived works, based on the main build process, such as an ejb-client jar,
      project sources jar, etc.
    ]]></description>
  </expression>
</expressions>

import jetbrains.buildServer.configs.kotlin.triggers.schedule
import jetbrains.buildServer.configs.kotlin.triggers.vcs
import model.CIBuildModel
import model.Stage
import model.StageName
import model.Trigger
import projects.StageProject

val stageWithOsTriggers: Map<StageName, List<Os>> = mapOf(
    StageName.PULL_REQUEST_FEEDBACK to listOf(Os.LINUX, Os.WINDOWS),
    StageName.READY_FOR_NIGHTLY to listOf(Os.LINUX, Os.WINDOWS, Os.MACOS),

    static Function<String, String> chain(Function<String, String>... functions) {
        return chain(List.of(functions));
    }

    /**
     * Memoizes a given function that takes a String input and produces a String output.
     * This method creates a new function that caches the results of the original function,
     * improving performance for repeated calls with the same input.
     *