import org.codelibs.fess.crawler.Constants;
import org.codelibs.fess.crawler.entity.ExtractData;
import org.codelibs.fess.crawler.exception.ExtractException;
import org.commonmark.ext.front.matter.YamlFrontMatterExtension;
import org.commonmark.ext.front.matter.YamlFrontMatterVisitor;
import org.commonmark.node.AbstractVisitor;
import org.commonmark.node.Heading;
import org.commonmark.node.Link;
import org.commonmark.node.Node;

        final ExtractData extractData = markdownExtractor.getText(in, null);
        CloseableUtil.closeQuietly(in);

        // Verify front matter metadata
        final String[] titles = extractData.getValues("frontmatter.title");
        assertNotNull(titles);
        assertEquals("Sample Markdown Document", titles[0]);

tags:
  - crawler
  - extractor
  - markdown
---

# Introduction

This is a sample Markdown document for testing the MarkdownExtractor.

## Features

The extractor should handle:

- YAML front matter extraction
- Heading structure
- **Bold text** and *italic text*
- Lists and other formatting

### Code Examples

Here is some inline `code` and a code block:

```java
public class Example {

It doesn't matter for **FastAPI**. It will detect the parameters by their names, types and default declarations (`Query`, `Path`, etc), it doesn't care about the order.

So, you can declare your function as:

{* ../../docs_src/path_params_numeric_validations/tutorial002_py39.py hl[7] *}

    // Confirm that the connection pool was not corrupted by making another call.
    makeSimpleCall()
  }

  /**
   * If the server returns a full response, it doesn't really matter if the HTTP/2 stream is reset.
   * Attempts to write the request body fails fast.
   */
  @Test
  fun serverTruncatesRequestHttp2OnDuplexRequest() {
    enableProtocol(Protocol.HTTP_2)

    server.enqueue(

        // NEVER
        "AssignmentExpression", // Not using it is more a matter of taste.
        "EffectivelyPrivate", // It is still useful to distinguish between public interface and implementation details of inner classes even though it isn't enforced.
        "InjectOnConstructorOfAbstractClass", // We use abstract injection as a pattern
        "InlineMeSuggester", // Only suppression seems to actually "fix" this, so make it global

  public static class GoodEqualsFactory {
    public static Object good(
        String a,
        int b,
        // oneConstantOnly doesn't matter since it's not nullable and can be only 1 value.
        @SuppressWarnings("unused") OneConstantEnum oneConstantOnly,
        // noConstant doesn't matter since it can only be null
        @SuppressWarnings("unused") @Nullable NoConstantEnum noConstant) {
      return new GoodEquals(a, b);
    }

			<artifactId>commonmark</artifactId>
			<version>${commonmark.version}</version>
		</dependency>
		<dependency>
			<groupId>org.commonmark</groupId>
			<artifactId>commonmark-ext-yaml-front-matter</artifactId>
			<version>${commonmark.version}</version>
		</dependency>
		<dependency>
			<groupId>com.google.cloud</groupId>
			<artifactId>google-cloud-storage</artifactId>

	defer store.RUnlock()
	return l
}

// lockless call
func (store *QueueStore[_]) del(key Key) error {
	err := os.Remove(filepath.Join(store.directory, key.String()))

	// Delete as entry no matter the result
	delete(store.entries, key.String())

	return err
}

// List - lists all files registered in the store.
func (store *QueueStore[_]) List() (keys []Key) {
	store.RLock()

    * A "token" is just a string with some content that we can use later to verify this user.
    * Normally, a token is set to expire after some time.
        * So, the user will have to log in again at some point later.
        * And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases).