} finally {
            EntityUtils.consumeQuietly(httpEntity);
        }
    }

    /**
     * Converts a robots.txt pattern to a regular expression.
     *
     * @param path The robots.txt pattern to convert
     * @return The equivalent regular expression
     */
    protected String convertRobotsTxtPatternToRegex(final String path) {

     * @param workstation The workstation.
     */
    public void setWorkstation(final String workstation) {
        this.workstation = workstation;
    }

    /**
     * The real session key if the regular session key is actually
     * the encrypted version used for key exchange.
     *
     * @return A <code>byte[]</code> containing the session key.
     */
    public byte[] getMasterKey() {

        }
    }

    @Nested
    @DisplayName("FromReferral Factory Method Tests")
    class FromReferralTests {

        @Test
        @DisplayName("Should create from referral with regular flags")
        void testFromReferralRegular() {
            when(mockReferral.getTtl()).thenReturn(600);
            when(mockReferral.getRFlags()).thenReturn(0);

            boolean exists = parentCache.hasChild(getName());
            log.debug("Using cached existence check for: {}", getPath());
            return exists;
        }
    }
    
    // Fall back to regular existence check
    return super.exists();
}

private void requestDirectoryLease() {
    if (!isDirectory() || !context.getConfig().isUseDirectoryLeasing()) {
        return;
    }
    

    void testServerInfo1GetTypeServer() throws Exception {
        NetServerEnum2Response.ServerInfo1 server = response.new ServerInfo1();
        server.type = 0x00000801; // Regular server type
        assertEquals(SmbConstants.TYPE_SERVER, server.getType());
    }

    @ParameterizedTest
    @DisplayName("Test ServerInfo1 getType with various server types")

///

### Step 5: return the content { #step-5-return-the-content }

{* ../../docs_src/first_steps/tutorial001_py39.py hl[8] *}

You can return a `dict`, `list`, singular values as `str`, `int`, etc.

You can also return Pydantic models (you'll see more about that later).

    }

    // Additional tests for escapeWildcardQuery
    @Test
    public void testEscapeWildcardQueryWithMixedContent() {
        // Test with realistic query containing wildcards and regular text
        String query = "find*all?documents.pdf";
        String escaped = SuggestUtil.escapeWildcardQuery(query);
        assertEquals("find\\*all\\?documents.pdf", escaped);
    }

    @Test

http://%30%78%63%30%2e%30%32%35%30.01  s:http p:/ h:192.168.0.1
http://%30%78%63%30%2e%30%32%35%30.01%2e  s:http p:/ h:0xc0.0250.01.
http://192.168.0.257

# Invalid escaping should trigger the regular host error handling.
http://%3g%78%63%30%2e%30%32%35%30%2E.01

# Something that isn't exactly an IP should get treated as a host and
# spaces escaped.
http://192.168.0.1\shello

                    i++;
                } catch (IndexOutOfBoundsException ex) {
                    // high surrogate without low surrogate. Not a lot we can do here except treat it as a regular
                    // character
                }
            }

            if (c == '.') {
                if (i == startIndex) {
                    list.add(IntItem.ZERO);
                } else {

Hay algunas diferencias:

* `table=True` le dice a SQLModel que este es un *modelo de tabla*, que debe representar una **tabla** en la base de datos SQL, no es solo un *modelo de datos* (como lo sería cualquier otra clase regular de Pydantic).

* `Field(primary_key=True)` le dice a SQLModel que `id` es la **clave primaria** en la base de datos SQL (puedes aprender más sobre claves primarias de SQL en la documentación de SQLModel).