${packaging.scripts.header}

#
# This script is executed in the pre-installation phase
#
#   On Debian,
#       $1=install : indicates an new install
#       $1=upgrade : indicates an upgrade
#
#   On RedHat,
#       $1=1       : indicates an new install
#       $1=2       : indicates an upgrade



# Sets the default values for fess variables used in this script
FESS_USER="${packaging.fess.user}"
FESS_GROUP="${packaging.fess.group}"

            <input type="text" id="messageText" autocomplete="off"/>
            <button>Send</button>
        </form>
        <ul id='messages'>
        </ul>
        <script>
            var ws = new WebSocket("ws://localhost:8000/ws");
            ws.onmessage = function(event) {
                var messages = document.getElementById('messages')

package common

import jetbrains.buildServer.configs.kotlin.BuildStep
import jetbrains.buildServer.configs.kotlin.BuildSteps
import jetbrains.buildServer.configs.kotlin.BuildType
import jetbrains.buildServer.configs.kotlin.buildSteps.script

fun BuildType.applyPerformanceTestSettings(os: Os = Os.LINUX, arch: Arch = Arch.AMD64, timeout: Int = 30) {
    applyDefaultSettings(os = os, arch = arch, timeout = timeout)
    artifactRules = """

        parent.appendChild(summarySection);

        Element title = document.createElement("title");
        summarySection.appendChild(title);
        title.appendChild(document.createTextNode("Script blocks"));

        Collection<BlockDoc> classBlocks = classDoc.getClassBlocks();
        if (!classBlocks.isEmpty()) {
            Element table = document.createElement("table");

"<details> \n" +
"  <summary>📺 Watch the $1</summary> \n" +
"  <div class=\"wistia-video\"> \n" +
"    <div class=\"wistia-player\"> \n" +
"      <script src=\"https://fast.wistia.com/embed/medias/$2.jsonp\" async></script> \n" +
"      <script src=\"https://fast.wistia.com/assets/external/E-v1.js\" async></script> \n" +
"        <div class=\"wistia_responsive_padding\" style=\"padding:55.94% 0 0 0;position:relative;\"> \n" +

##############################################################################
#
#   Gradle start up script for POSIX generated by Gradle.
#
#   Important for running:
#
#   (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is
#       noncompliant, but you have some other compliant shell such as ksh or
#       bash, then to run this script, type that shell name before the whole
#       command line, like:
#
#           ksh Gradle

    ;;
    1)
        # If $1=1 this is an upgrade
        IS_UPGRADE=true
    ;;

    *)
        echo "post remove script called with unknown argument \`$1'" >&2
        exit 1
    ;;
esac

# Sets the default values for fess variables used in this script
FESS_USER="${packaging.fess.user}"
FESS_GROUP="${packaging.fess.group}"
PID_DIR="${packaging.fess.pid.dir}"

# Source the default env file

          echo "$OUTPUT" >> $GITHUB_ENV
          echo "EOF" >> $GITHUB_ENV
      - name: Comment on PR if check failed
        if: ${{ failure() }}
        uses: actions/github-script@v7
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
            const output = `
            Some bad merge is found:
            \`\`\`
            ${{ env.OUTPUT }}
            \`\`\`
            `;

    def getMethodsSection() { return methodsSection }

    def getMethodDetailsSection() { return getSection('Method details') }

    def getBlocksTable() { return getTable('Script blocks') }

    def getBlockDetailsSection() { return getSection('Script block details') }

    List<ClassDoc> getSubClasses() {
        return subClasses
    }
    void addSubClass(ClassDoc subClass) {
        subClasses.add(subClass)
    }

against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache: