if value is None:
        if field.required:
            return None, [get_missing_field_error(loc=loc)]
        else:
            return deepcopy(field.default), []
    v_, errors_ = field.validate(value, values, loc=loc)
    if isinstance(errors_, list):
        new_errors = _regenerate_error_with_loc(errors=errors_, loc_prefix=())
        return None, new_errors
    else:
        return v_, []

        }
    }

    /**
     * Attempts to obtain login credentials using SPNEGO authentication.
     *
     * This method processes the HTTP request to extract and validate SPNEGO
     * authentication tokens. It handles the SPNEGO handshake process and
     * extracts the user principal from successful authentication.
     *

// The checksum cannot be trailing.
func (r *Reader) AddNonTrailingChecksum(cs *Checksum, ignoreValue bool) error {
	if cs == nil {
		return nil
	}
	r.contentHash = *cs
	if ignoreValue {
		// Do not validate, but allow for transfer
		return nil
	}

	r.contentHasher = cs.Type.Hasher()
	if r.contentHasher == nil {
		return ErrInvalidChecksum
	}
	return nil
}

			}
			if tc.expectedParsingErr != nil {
				// We already expect a parsing error,
				// no need to continue this test.
				return
			}
			err = lc.Validate(tc.lr)
			if err != tc.expectedValidationErr {
				t.Fatalf("%d: Expected %v during validation but got %v", i+1, tc.expectedValidationErr, err)
			}
		})
	}
}

## 🏗️ Architecture & Design Patterns

### Core Design Principles
CoreLib follows a **utility-class pattern** where most functionality is exposed through static methods:

- **Assertion-based validation** - All methods validate inputs using `AssertionUtil.assertArgumentNotNull()` and `AssertionUtil.assertArgumentNotEmpty()`

* **Renouvelable**:
    * Pydantic permet de définir de nouveaux types de données ou vous pouvez étendre la validation avec des méthodes sur un modèle décoré avec le<abbr title="en anglais: validator decorator"> décorateur de validation</abbr>

Когда вы устанавливаете FastAPI с помощью `pip install "fastapi[standard]"`, он идёт с группой опциональных зависимостей `standard`:

Используется Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> — для проверки адресов электронной почты.

Используется Starlette:

    * Sie können tief **verschachtelte JSON** Objekte haben, die alle validiert und annotiert sind.
* **Erweiterbar**:
    * Pydantic erlaubt die Definition von eigenen Datentypen oder sie können die Validierung mit einer `validator`-dekorierten Methode im Modell erweitern.

    * Pydantic, JSON objen ne kadar derin (nested) olursa olsun doğrulamasını ve gösterimini yapıyor
* **Genişletilebilir**:
    * Pydantic özelleştirilmiş data tiplerinin tanımlanmasının yapılmasına izin veriyor ayrıca validator decoratorü ile senin doğrulamaları genişletip, kendi doğrulayıcılarını yazmana izin veriyor.

                        } catch (final SmbException se) {
                            if (LogStream.level >= 2) {
                                SmbTransport.log.println("Failed validate DC: " + dc_list[i]);
                                if (LogStream.level > 2) {
                                    se.printStackTrace(SmbTransport.log);
                                }
                            }