///

`RequestValidationError` is a sub-class of Pydantic's <a href="https://docs.pydantic.dev/latest/concepts/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a>.

**FastAPI** uses it so that, if you use a Pydantic model in `response_model`, and your data has an error, you will see the error in your log.

    }; \
    Write-Host 'Python installations complete.';

# Add a python3 symlink for the Python in PATH.
# It's not feasible to add one for each version, as on Windows,
# Python uses PATH and the binary's (symlink's) location, to launch itself.
RUN C:\tools\msys64\usr\bin\bash.exe -lc 'ln -s /c/Python3.13/python.exe /usr/bin/python3';

# Install JDK 21.
RUN \

 * {@code Iterable}. Except as noted, each method has a corresponding {@link Iterator}-based method
 * in the {@link Iterators} class.
 *
 * <p><b>Java 8+ users:</b> several common uses for this class are now more comprehensively
 * addressed by the new {@link java.util.stream.Stream} library. Read the method documentation below

// compared to the old yacc/C implementations. Neither has
// much practical consequence because the expressions we
// see in assembly code are simple, but for the record:
//
// 1) Evaluation uses uint64; the old one used int64.
// 2) Precedence uses Go rules not C rules.

// expr = term | term ('+' | '-' | '|' | '^') term.
func (p *Parser) expr() uint64 {
	value := p.term()
	for {
		switch p.peek() {
		case '+':

 * Comparators#least(int)} to {@link Stream#collect(java.util.stream.Collector)}. If it is available
 * as an {@link Iterable} or {@link Iterator}, prefer {@link Ordering#leastOf(Iterable, int)}.
 *
 * <p>This uses the same efficient implementation as {@link Ordering#leastOf(Iterable, int)},
 * offering expected O(n + k log k) performance (worst case O(n log k)) for n calls to {@link

     | This will make it more intuitive to understand what the set of introduced profiles is attempting
     | to accomplish, particularly when you only have a list of profile id's for debug.
     |
     | This profile example uses the JDK version to trigger activation, and provides a JDK-specific repo.
    <profile>
      <id>jdk-1.4</id>

      <activation>
        <jdk>1.4</jdk>
      </activation>

      <repositories>

    //                                                                          ==========
    @SuppressWarnings("unchecked")
    /**
     * Creates a validator instance for form validation.
     * This method uses the system helper to create a validator with Fess-specific messages.
     *
     * @return a new action validator instance
     */
    @Override
    public ActionValidator<FessMessages> createValidator() {

         */
        p.setProperty("jcifs.smb.client.soTimeout", "1800000");
        p.setProperty("jcifs.netbios.cachePolicy", "1200");
        /*
         * The Filter can only work with NTLMv1 as it uses a man-in-the-middle
         * technique that NTLMv2 specifically thwarts. A real NTLM Filter would
         * need to do a NETLOGON RPC that JCIFS will likely never implement

Todo está basado en declaraciones estándar de **tipos en Python** (gracias a Pydantic). Sin nueva sintaxis que aprender. Solo Python moderno estándar.

Si necesitas un repaso de 2 minutos sobre cómo usar tipos en Python (aunque no uses FastAPI), revisa el tutorial corto: [Tipos en Python](python-types.md){.internal-link target=_blank}.

Escribes Python estándar con tipos:

```Python
from datetime import date

from pydantic import BaseModel

	case 3:
		offset |= 0x6 << 12
	case 4:
		offset |= 0x2 << 12
	default:
		return 0, errors.New("invalid register numbers in ARM64 register list")
	}
	offset |= arrangement
	// arm64 uses the 60th bit to differentiate from other archs
	// For more details, refer to: obj/arm64/list7.go
	offset |= 1 << 60
	return offset, nil