* It implements the Closeable interface to ensure that resources are properly released.
 *
 * <p>This class supports two types of content caching:
 * <ul>
 *   <li>In-memory caching using a byte array</li>
 *   <li>File-based caching using a File object</li>
 * </ul>
 *
 * <p>When an instance of ContentCache is created with a byte array, the content is cached in memory.

    ROUND_ROBIN,

    /**
     * Select the least busy channel based on pending operations
     */
    LEAST_LOADED,

    /**
     * Weighted random selection based on channel scores
     */
    WEIGHTED_RANDOM,

    /**
     * Affinity-based selection for related operations
     */
    AFFINITY_BASED,

    /**
     * Adaptive selection based on operation type and performance
     */
    ADAPTIVE

    // Base64 encoded Type 1 message: NTLMSSP, Type 1, flags=0x00088207
    // Domain="DOMAIN", Workstation="WORKSTATION"
    private final String type1MessageBase64 = "TlRMTVNTUAABAAAABzIAAAYABgArAAAACwALACAAAABET01BSU5XT1JLU1RBVElPTg==";

    // Base64 encoded Type 3 message: NTLMSSP, Type 3
    // User: "user", Domain: "DOMAIN", Workstation: "WORKSTATION"

        assertEquals("mailto:******@****.***", HcHttpClient.constructRedirectLocation("http://localhost/", "mailto:******@****.***"));
        assertEquals("data:text/plain;base64,SGVsbG8gd29ybGQ=",
                HcHttpClient.constructRedirectLocation("http://localhost/", "data:text/plain;base64,SGVsbG8gd29ybGQ="));
        assertEquals("http://192.168.1.1/path/file", HcHttpClient.constructRedirectLocation("http://192.168.1.1/path/", "file"));

import java.io.InputStream;
import java.nio.file.Files;

import org.codelibs.curl.Curl;
import org.junit.After;
import org.junit.Test;

/**
 * Test class for ContentCache.
 * Tests memory-based and file-based content caching.
 */
public class ContentCacheTest {

    private File tempFile;

    @After
    public void tearDown() {
        if (tempFile != null && tempFile.exists()) {

 * in a large index without loading all of them into memory at once.
 * </p>
 *
 * <p>
 * The reader supports limiting the number of documents read based on a percentage of the total documents
 * or a fixed number. It also allows filtering documents based on their size, using the {@code limitOfDocumentSize}
 * parameter.
 * </p>
 *
 * <p>

   * (In other words, this method must allocate a new array). The caller is thus free to modify the
   * returned array.
   *
   * <p>This method acts as bridge between array-based and collection-based APIs.
   *
   * @return an array containing all of the elements in this queue
   */
  @CanIgnoreReturnValue
  @Override
  public Object[] toArray() {
    E[] items = this.items;

//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package kms

import (
	"bytes"
	"encoding/base64"
	"testing"
)

var dekEncodeDecodeTests = []struct {
	Key DEK
}{
	{
		Key: DEK{},
	},
	{
		Key: DEK{
			Plaintext:  nil,

        assertFalse(result, "Filter should reject any provided name");
        verifyNoInteractions(mockDir);
    }

    /**
     * Edge: name-based filter behavior for diverse inputs.
     */
    @ParameterizedTest
    @DisplayName("name-based filter matches .txt case-insensitively")
    @CsvSource({ "notes.txt,true", "REPORT.TXT,true", "image.png,false", "archive.tar.gz,false", "txt,false" })

import binascii
from base64 import b64decode
from typing import Annotated, Optional

from annotated_doc import Doc
from fastapi.exceptions import HTTPException
from fastapi.openapi.models import HTTPBase as HTTPBaseModel
from fastapi.openapi.models import HTTPBearer as HTTPBearerModel
from fastapi.security.base import SecurityBase
from fastapi.security.utils import get_authorization_scheme_param
from pydantic import BaseModel