import jcifs.SmbConstants;
import jcifs.SmbResource;
import jcifs.SmbResourceLocator;
import jcifs.context.SingletonContext;

/**
 * Tests for NetServerFileEntryAdapterIterator.
 *
 * Intent: Validate iteration behavior, filtering, invalid inputs handling,
 * and delegation to the underlying iterator.
 */
@ExtendWith(MockitoExtension.class)
class NetServerFileEntryAdapterIteratorTest {

    @Mock

errors.header = <ul class="has-error">
errors.footer = </ul>
errors.prefix = <li><i class="fa fa-exclamation-circle"></i>
errors.suffix = </li>
# ----------------------------------------------------------
# Javax Validator
# ---------------
constraints.AssertFalse.message = {item} doit être faux.
constraints.AssertTrue.message = {item} doit être vrai.
constraints.DecimalMax.message = {item} doit être inférieur à {value}.

errors.header = <ul class="has-error">
errors.footer = </ul>
errors.prefix = <li><i class="fa fa-exclamation-circle"></i>
errors.suffix = </li>
# ----------------------------------------------------------
# Javax Validator
# ---------------
constraints.AssertFalse.message = {item} 必须为 false。
constraints.AssertTrue.message = {item} 必须为 true。
constraints.DecimalMax.message = {item} 必须小于 {value}。

## Opcjonalne zależności

Używane przez Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - dla walidacji adresów email.

Używane przez Starlette:

* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Wymagane jeżeli chcesz korzystać z `TestClient`.

	if err != nil {
		apiErr := errorCodes.ToAPIErr(ErrMalformedXML)
		apiErr.Description = err.Error()
		writeErrorResponse(ctx, w, apiErr, r.URL)
		return
	}
	// validate the request
	if err := rreq.validate(ctx, objectAPI); err != nil {
		apiErr := errorCodes.ToAPIErr(ErrMalformedXML)
		apiErr.Description = err.Error()
		writeErrorResponse(ctx, w, apiErr, r.URL)
		return
	}

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> là một thư viện Python để validate dữ liệu hiệu năng cao.

Bạn có thể khai báo "hình dạng" của dữa liệu như là các lớp với các thuộc tính.

Và mỗi thuộc tính có một kiểu dữ liệu.

        }
        developers {
          developer {
            name.set("Square, Inc.")
          }
        }
      }
    }
  }

  plugins.withId("binary-compatibility-validator") {
    configure<ApiValidationExtension> {
      ignoredPackages += "okhttp3.logging.internal"
      ignoredPackages += "mockwebserver3.internal"
      ignoredPackages += "okhttp3.internal"

                    try {
                        return interrogate(getTransportContext(), this.dcList[i]);
                    } catch (final SmbException se) {
                        log.warn("Failed validate DC: " + this.dcList[i], se);
                    }
                    this.dcList[i] = null;
                }
            }

            /*

* **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>

Digunakan oleh Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - untuk validasi email.

Digunakan oleh Starlette:

* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Dibutuhkan jika anda menggunakan `TestClient`.