CodeQL-Build:
    permissions:
      actions: read  # for github/codeql-action/init to get workflow details
      contents: read  # for actions/checkout to fetch code
      security-events: write  # for github/codeql-action/analyze to upload SARIF results
    runs-on: ubuntu-latest

    strategy:
      fail-fast: false
      matrix:
        # Override automatic language detection by changing the below list

            }
            return pair;
        }).forEach(additionalDefaultList::add));
    }

    /**
     * Sets the fields that should not be analyzed during indexing.
     *
     * @param fields array of field names that should not be analyzed
     */
    public void setNotAnalyzedFields(final String[] fields) {
        notAnalyzedFieldSet = new HashSet<>();

fi

# Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser.
# See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling

    abstract val textReportFile: RegularFileProperty

    @get:Inject
    abstract val workerExecutor: WorkerExecutor

    @get:Inject
    abstract val layout: ProjectLayout

    @TaskAction
    fun analyze() = workerExecutor.processIsolation { classpath.from(additionalClasspath) }.submit(IncubatingApiReportWorkAction::class) {
        repositoryRoot = layout.settingsDirectory
        srcDirs.from(******@****.***s)

            throw new ExtractException("Failed to parse CSV content", e);
        }
    }

    /**
     * Detects the delimiter character from a CSV line.
     *
     * @param line the CSV line to analyze
     * @return the detected delimiter character
     */
    protected Character detectDelimiter(final String line) {
        final char[] candidates = { ',', '\t', ';', '|' };
        int maxCount = 0;

    /**
     * Indicates whether the model building should happen in two phases. If enabled, the initial invocation of the model
     * builder will only produce an interim result which may be used to analyze inter-model dependencies before the
     * final invocation of the model builder is performed.
     *
     * @return {@code true} if two-phase building is enabled, {@code false} if the model should be built in a single

        val manifestFile = tempDirectory.resolve("MANIFEST.MF")
        val buildReceiptFile = tempDirectory.resolve("build-receipt.properties")
        val classGraph = JarAnalyzer("", keepClasses, keepClasses, setOf()).analyze(artifact, classesDir, manifestFile, buildReceiptFile)

        createJar(classGraph, classesDir, manifestFile, jarFile)

        return jarFile
    }

    private

    /**
     * Estimates the compression ratio for the given data and algorithm.
     * This can be used to decide whether compression is worthwhile.
     *
     * @param data the data to analyze
     * @param algorithm the compression algorithm
     * @return estimated compression ratio (0.0 to 1.0, where 0.5 means 50% size reduction)
     */
    double estimateCompressionRatio(byte[] data, int algorithm);

class JarAnalyzer(
    private val shadowPackage: String,
    private val keepPackages: Set<String>,
    private val unshadedPackages: Set<String>,
    private val ignorePackages: Set<String>
) {

    fun analyze(jarFile: File, classesDir: File, manifestFile: File, buildReceipt: File): ClassGraph {
        val classGraph = classGraph()

        val jarUri = URI.create("jar:${jarFile.toPath().toUri()}")

### Examples

Use American English spelling, for example:

* `color` (not `colour`)
* `initialize` (not `initialise`)
* `behavior` (not `behaviour`)
* `analyze` (not `analyse`)
* `organization` (not `organisation`)
* `center` (not `centre`)
* `canceled` (not `cancelled`)
* `labeled` (not `labelled`)

### Rationale for American English