/** Default encoding for Markdown files. */
    protected String encoding = Constants.UTF_8;

    /** Whether to extract front matter as metadata. */
    protected boolean extractFrontMatter = true;

    /** Whether to extract headings as metadata. */
    protected boolean extractHeadings = true;

    /** Whether to extract link URLs as metadata. */
    protected boolean extractLinks = false;

    /** Markdown parser with extensions. */

    /**
     * Sets the MIME type of the content to extract.
     *
     * @param mimeType the MIME type to set
     * @return this builder instance for method chaining
     */
    public ExtractorBuilder mimeType(final String mimeType) {
        this.mimeType = mimeType;
        return this;
    }

    /**
     * Sets the filename of the content to extract.
     *
     * @param filename the filename to set

        }
        return field;
    }

    /**
     * Builds the extract data from headers and rows.
     *
     * @param headers the header row
     * @param rows the data rows
     * @return the extract data
     */
    protected ExtractData buildExtractData(final String[] headers, final List<String[]> rows) {

    protected String lineSeparator = "\n";

    /** Whether to extract top-level fields as metadata. */
    protected boolean extractMetadata = true;

    /** Prefix for flattened nested keys. */
    protected String nestedKeySeparator = ".";

    /** Maximum number of array elements to extract. */
    protected int maxArrayElements = 100;

    /**
     * Constructs a new JsonExtractor.

	line, col int
	Key       string `yaml:"key" json:"key"`
	Value     string `yaml:"value" json:"value"`
}

var _ yaml.Unmarshaler = &BatchJobKV{}

// UnmarshalYAML - BatchJobKV extends default unmarshal to extract line, col information.
func (kv *BatchJobKV) UnmarshalYAML(val *yaml.Node) error {
	type jobKV BatchJobKV
	var tmp jobKV
	err := val.Decode(&tmp)
	if err != nil {
		return err
	}
	*kv = BatchJobKV(tmp)

    assert response.json() == {
        "detail": [
            {
                "type": "model_attributes_type",
                "loc": ["body"],
                "msg": "Input should be a valid dictionary or object to extract fields from",
                "input": "name=Foo&price=50.5",
            }
        ]
    }


def test_explicit_content_type(client: TestClient):
    response = client.post(
        "/items/",

Using the below example document:
<img width="85%" src="https://bradley.codes/static/img/jstream-levels.gif" alt="jstream"/>

we can choose to extract and act only the objects within the top-level array:
```go
f, _ := os.Open("input.json")
decoder := jstream.NewDecoder(f, 1) // extract JSON values at a depth level of 1
for mv := range decoder.Stream() {
  fmt.Printf("%v\n ", mv.Value)
}
```

output:
```

    /**
     * Parses the given query log and returns a list of suggest items.
     *
     * @param queryLog the query log to parse
     * @param fields the fields to extract from the query log
     * @param tagFieldNames the names of the fields to use as tags
     * @param roleFieldName the name of the field to use for roles
     * @param readingConverter the converter to use for reading values

        ByteBuffer bb = ByteBuffer.wrap(result).order(java.nio.ByteOrder.LITTLE_ENDIAN);

        long mostSig = guid.getMostSignificantBits();
        long leastSig = guid.getLeastSignificantBits();

        // Extract GUID components from UUID
        int data1 = (int) (mostSig >>> 32); // first 4 bytes
        short data2 = (short) (mostSig >>> 16); // next 2 bytes
        short data3 = (short) mostSig; // next 2 bytes

import jp.gr.java_conf.dangan.util.lha.LhaFile;
import jp.gr.java_conf.dangan.util.lha.LhaHeader;

/**
 * Extractor implementation for LHA (LZH) archive files.
 * This extractor can extract text content from files within LHA archives
 * by using appropriate extractors for each contained file type.
 *
 * @author shinsuke
 */
public class LhaExtractor extends AbstractExtractor {