permissions:
  contents: read

jobs:
  build:
    name: PyLint
    runs-on: ubuntu-latest
    steps:
    - name: Checkout code
      uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
    - name: Get file changes
      id: get_file_changes
      uses: trilom/file-changes-action@a6ca26c14274c33b15e6499323aac178af06ad4b # v1.2.4
      with:
        output: ' '
    - name: Report list of changed files
      run: |

        // Verify entries
        assertEquals(3, statusMap.size());
        assertEquals("Starting up", statusMap.get(CrawlerStatus.INITIALIZING));
        assertEquals("In progress", statusMap.get(CrawlerStatus.RUNNING));
        assertEquals("Completed", statusMap.get(CrawlerStatus.DONE));

        // Test with EnumMap for better performance

    steps:
    - name: Checkout code
      uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
      with:
        ref: ${{ github.event.inputs.release_branch }}
    - name: Get some helpful info for formatting
      id: cherrypick
      run: |
          git config --global user.name "TensorFlow Release Automation"
          git config --global user.email "******@****.***"

import org.codelibs.core.lang.StringUtil;

/**
 * Represents an HTTP request header with a name and value.
 * This class is used to encapsulate the header information for HTTP requests.
 * It provides methods to get and set the name and value of the header,
 * as well as a method to validate the header.
 *
 * <p>Example usage:</p>
 * <pre>
 *     RequestHeader header = new RequestHeader("Content-Type", "application/json");

            final List<AnalyzeToken> termTokenList = termResponse.getTokens();
            if (termTokenList.isEmpty()) {
                return text;
            }

            return termTokenList.get(0).getTerm();
        }
    }

            final Settings settings) {
        super(indexSettings, name, settings);

        final String suffixWordsPath = settings.get("suffix_words_path");

        if (suffixWordsPath != null) {
            final File suffixWordsFile = environment.configDir().resolve(suffixWordsPath).toFile();

    "linux" : 625
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.java.JavaIDEModelPerformanceTest.get IDE model for Eclipse",
  "durations" : [ {
    "testProject" : "largeJavaMultiProject",
    "linux" : 1056
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.java.JavaIDEModelPerformanceTest.get IDE model for IDEA",
  "durations" : [ {
    "testProject" : "largeJavaMultiProject",
    "linux" : 1087

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.

            }
            synchronized (lastTime) {
                while (true) {
                    final long currentTime = SystemUtil.currentTimeMillis();
                    final long delayTime = lastTime.get() + delayMillisBeforeProcessing - currentTime;
                    if (delayTime <= 0) {
                        lastTime.set(currentTime);
                        break;
                    }

                    final int readingNum = readingList.size();
                    for (int readingCount = 0; readingCount < readingNum; readingCount++) {
                        final String reading = readingList.get(readingCount);
                        if (i + 1 == queries.length && prefixQuery) {
                            readingQueryBuilder.should(QueryBuilders.prefixQuery(fieldName, reading));
                        } else {