data:text/html,test#test  s:data p:text/html,test f:#test

# Based on http://trac.webkit.org/browser/trunk/LayoutTests/fast/url/file.html

# Basic canonicalization, uppercase should be converted to lowercase
file:c:\\foo\\bar.html file:///tmp/mock/path s:file p:/c:/foo/bar.html

# Spaces should fail
\s\sFile:c|////foo\\bar.html  s:file p:/c:////foo/bar.html

# This should fail

 * lookups.
 *
 * <p>During construction, names are normalized in two ways:
 *
 * <ol>
 *   <li>ASCII uppercase characters are converted to lowercase.
 *   <li>Unicode dot separators other than the ASCII period ({@code '.'}) are converted to the ASCII
 *       period.
 * </ol>
 *
 * <p>The normalized values will be returned from {@link #toString()} and {@link #parts()}, and will

        return new String(buf);
    }

    /**
     * Converts a {@link Document} to a string.
     *
     * @param document
     *            The document. Must not be {@literal null}.
     * @return The converted string.
     */
    public static String toString(final Document document) {
        assertArgumentNotNull("document", document);

        final StringBuilder buf = new StringBuilder(1000);

    }

    /**
     * Test the getEntries() method with a populated DfsEnumArray200.
     * Verifies that the DFS entries are correctly converted to FileEntry objects.
     */
    @Test
    void testGetEntries() {
        // Given
        MsrpcDfsRootEnum dfsRootEnum = new MsrpcDfsRootEnum("test-server");

* `frozenset`:
    * In requests and responses, treated the same as a `set`:
        * In requests, a list will be read, eliminating duplicates and converting it to a `set`.
        * In responses, the `set` will be converted to a `list`.
        * The generated schema will specify that the `set` values are unique (using JSON Schema's `uniqueItems`).
* `bytes`:
    * Standard Python `bytes`.
    * In requests and responses will be treated as `str`.

    /**
     * A map for URL conversion.
     */
    protected Map<String, String> convertMap = new LinkedHashMap<>();

    /**
     * Converts a URL.
     *
     * @param url The URL.
     * @return A converted URL.
     */
    public String convert(final String url) {
        if (url == null) {
            return null;
        }
        String convertedUrl = url;

Let's imagine that you have a database `fake_db` that only receives JSON compatible data.

For example, it doesn't receive `datetime` objects, as those are not compatible with JSON.

So, a `datetime` object would have to be converted to a `str` containing the data in <a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO format</a>.

Para esos casos, puedes usar el `jsonable_encoder` para convertir tus datos antes de pasarlos a un response:

{* ../../docs_src/response_directly/tutorial001.py hl[6:7,21:22] *}

/// note | Nota

También podrías usar `from starlette.responses import JSONResponse`.

            FileUtil.deleteInBackground(inputFile);
            FileUtil.deleteInBackground(outputFile);
        }
    }

    /**
     * Gets the output content from the converted file.
     *
     * @param outputFile the converted output file
     * @param outExt the output file extension
     * @return the extracted text content
     * @throws ExtractException if an error occurs while reading the file
     */

///

## Hashing de contraseñas

"Hacer hashing" significa convertir algún contenido (una contraseña en este caso) en una secuencia de bytes (solo un string) que parece un galimatías.

Siempre que pases exactamente el mismo contenido (exactamente la misma contraseña) obtienes exactamente el mismo galimatías.

Pero no puedes convertir del galimatías de nuevo a la contraseña.

### Por qué usar hashing de contraseñas