import org.apache.logging.log4j.Logger;

/**
 * A thread that reads from an input stream line by line and maintains a buffer of recent lines.
 * This class provides functionality to read input stream data asynchronously,
 * optionally process each line with a callback function, and maintain a circular buffer
 * of recent lines for retrieval.
 */
public class InputStreamThread extends Thread {
    /** Logger instance for this class */

            if (!file.exists()) return@forEach

            val lines = file.readLines().toMutableList()
            val dependenciesIndex = lines.indexOfFirst { it.contains("dependencies {") }

            val whitespace = lines.drop(dependenciesIndex + 1).find { it.isNotBlank() }?.takeWhile { it.isWhitespace() } ?: ""
            lines.addAll(dependenciesIndex + 1, dependencies.map { "$whitespace$it" } + listOf(""))

        thread.start();
        thread.join(1000);

        String output = thread.getOutput();
        String[] lines = output.split("\n");

        assertTrue("Buffer should be limited to 10 items", lines.length <= 10);
        assertTrue("Last lines should be kept", output.contains("line15"));
    }

    @Test
    public void test_run_maxBufferSizeConstant() {

    }

    /**
     * This class is used to read properties lines. These lines do
     * not terminate with new-line chars but rather when there is no
     * backslash sign a the end of the line.  This is used to
     * concatenate multiple lines for readability.
     */
    public static class PropertiesReader extends LineNumberReader {
        /** Stores the comment lines for the currently processed property.*/

    }

    /**
     * This class is used to read properties lines. These lines do
     * not terminate with new-line chars but rather when there is no
     * backslash sign a the end of the line.  This is used to
     * concatenate multiple lines for readability.
     */
    public static class PropertiesReader extends LineNumberReader {
        /** Stores the comment lines for the currently processed property.*/

def extract_code_includes(lines: list[str]) -> list[CodeIncludeInfo]:
    """
    Extract lines that contain code includes.

    Return list of CodeIncludeInfo, where each dict contains:
    - `line_no` - line number (1-based)
    - `line` - text of the line
    """

    includes: list[CodeIncludeInfo] = []
    for line_no, line in enumerate(lines, start=1):
        if CODE_INCLUDE_RE.match(line):

  private final char[] buf = cbuf.array();

  private final Queue<String> lines = new ArrayDeque<>();
  private final LineBuffer lineBuf =
      new LineBuffer() {
        @Override
        protected void handleLine(String line, String end) {
          lines.add(line);
        }
      };

  /** Creates a new instance that will read lines from the given {@code Readable} object. */
  public LineReader(Readable readable) {

Sie können einen Body auch als `dict` deklarieren, mit Schlüsseln eines Typs und Werten eines anderen Typs.

So brauchen Sie vorher nicht zu wissen, wie die Feld-/Attributnamen lauten (wie es bei Pydantic-Modellen der Fall wäre).

Das ist nützlich, wenn Sie Schlüssel empfangen, deren Namen Sie nicht bereits kennen.

---

Ein anderer nützlicher Anwendungsfall ist, wenn Sie Schlüssel eines anderen Typs haben wollen, z. B. `int`.

    )

    assert fixed_content == expected_content  # Translated doc remains unchanged
    assert "Error processing docs/lang/docs/doc.md" in result.output
    assert (
        "Code block (lines 14-18) has different number of lines than the original block (5 vs 4)"
    ) in result.output


@pytest.mark.parametrize(
    "copy_test_files",
    [(f"{data_path}/en_doc.md", f"{data_path}/translated_doc_lines_number_lt.md")],

Seine Schlüssel-Merkmale sind:

* **Schnell**: Sehr hohe Performanz, auf Augenhöhe mit **NodeJS** und **Go** (dank Starlette und Pydantic). [Eines der schnellsten verfügbaren Python-Frameworks](#performance).
* **Schnell zu entwickeln**: Erhöhen Sie die Geschwindigkeit bei der Entwicklung von Features um etwa 200 % bis 300 %. *