/**
     * Moves the cursor to the beginning of the line below.
     *
     * @return this Ansi instance
     */
    public Ansi cursorDownLine() {
        return appendEscapeSequence('E');
    }

    /**
     * Moves the cursor to the beginning of the n-th line below. If the parameter n is negative it
     * moves the cursor to the beginning of the n-th line above.
     *

                        // and captures the content within the brackets.
                        Files.readAllLines(file).forEach(line -> {
                            if (line.matches("^\\s*\\[\\[(.*)\\]\\].*")) {
                                String anchorName = line.replaceAll("^\\s*\\[\\[(.*)\\]\\].*$", "$1");
                                allAnchors.add(anchorName);
                            }

## Pydantic Models for Input and Output { #pydantic-models-for-input-and-output }

Let's say you have a Pydantic model with default values, like this one:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### Model for Input { #model-for-input }

If you use this model as an input like here:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:15] hl[14] *}

    }

    @Test
    public void test_reload_withEmptyLines() throws Exception {
        // Create content with empty lines and comments
        String content = "# Comment line\n" + "\n" + // empty line
                "word1\n" + "  \n" + // whitespace line (may be treated as content)
                "# Another comment\n" + "word2\n";

        // Write content to test file
        writeTestFile(content);

# words checklist
segfault_memory:
   - segfault
   - memory leaks
# assignees
filesystem_security_assignee:
   - mihaimaruseac
   
# Cuda Comment
cuda_comment: >
   From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:
      * For TF-GPU - See point 1
      * For TF-CPU - See point 2
   -----------------------------------------------------------------------------------------------
   

   *
   * <p>It should be noted that using a {@code Striped<L>} with relatively few stripes, and {@code
   * bulkGet(keys)} with a relative large number of keys can cause an excessive number of shared
   * stripes (much like the birthday paradox, where much fewer than anticipated birthdays are needed
   * for a pair of them to match). Please consider carefully the implications of the number of

 * asynchronous operations. You can chain them together manually with calls to methods like {@link
 * Futures#transform(ListenableFuture, Function, Executor) Futures.transform}, but you will often
 * find it easier to use a framework. Frameworks automate the process, often adding features like
 * monitoring, debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>

By default, **FastAPI** will return JSON responses.

You can override it by returning a `Response` directly as seen in [Return a Response directly](response-directly.md).

          .put("empty", "")
          .put("1 char", "0")
          .put("1 word", "hello")
          .put("2 words", "hello world")
          .put("\\n line break", "hello\nworld")
          .put("\\r line break", "hello\rworld")
          .put("\\r\\n line break", "hello\r\nworld")
          .put("\\n at EOF", "hello\nworld\n")
          .put("\\r at EOF", "hello\nworld\r")
          .put("lorem ipsum", LOREM_IPSUM)

            final List<String> rules = Analysis.parseWordList(env, settings, "synonyms", s -> s);
            final StringBuilder sb = new StringBuilder();
            for (final String line : rules) {
                sb.append(line).append(System.getProperty("line.separator"));
            }
            reader = new StringReader(sb.toString());
        } else if (settings.get("synonyms_path") != null) {