when(file1.length()).thenReturn(2048L);
        when(file1.lastModified()).thenReturn(System.currentTimeMillis());

        SmbFile dir1 = mock(SmbFile.class);
        when(dir1.getName()).thenReturn("folder/");
        when(dir1.isDirectory()).thenReturn(true);

        when(smbFile.listFiles()).thenReturn(new SmbFile[] { file1, dir1 });
        when(smbFile.getLocator()).thenReturn(locator);

			</resource>
		</resources>

		<!-- This file contains all the common properties used to build the different
			packages (tar.gz, deb, rpm) using Maven resources plugin -->
		<filters>
			<filter>src/packaging/common/packaging.properties</filter>
		</filters>

		<plugins>
			<plugin>
				<artifactId>maven-compiler-plugin</artifactId>
			</plugin>
			<plugin>
				<artifactId>maven-source-plugin</artifactId>
			</plugin>

        void shouldDefineGetApplyToText() {
            ACE ace = mock(ACE.class);
            when(ace.getApplyToText()).thenReturn("This folder, subfolders and files");

            String text = ace.getApplyToText();
            assertEquals("This folder, subfolders and files", text);
            verify(ace).getApplyToText();
        }
    }

    @Nested

Verwenden Sie base64 nur, wenn Sie Binärdaten unbedingt in JSON einbetten müssen und dafür keine Dateien verwenden können.

## Pydantic `bytes` { #pydantic-bytes }

Sie können ein Pydantic-Modell mit `bytes`-Feldern deklarieren und dann in der Modellkonfiguration `val_json_bytes` verwenden, um anzugeben, dass zur *Validierung* von eingehenden JSON-Daten base64 genutzt werden soll; im Rahmen dieser Validierung wird der base64-String in Bytes dekodiert.

import android.net.http.UrlRequest.Callback
import android.net.http.UrlRequest.REQUEST_PRIORITY_MEDIUM
import android.net.http.UrlResponseInfo
import androidx.test.ext.junit.runners.AndroidJUnit4
import androidx.test.filters.SdkSuppress
import androidx.test.platform.app.InstrumentationRegistry
import java.net.HttpURLConnection
import java.net.URL
import java.nio.ByteBuffer
import java.util.concurrent.CompletableFuture

          std::unique_ptr<TensorSliceReader::VarToDataTypeMap>>
CheckpointReader::BuildV2VarMaps() {
  CHECK(v2_reader_ != nullptr);
  CHECK(v2_reader_->status().ok());

  // First pass: filters out the entries of the slices.
  absl::flat_hash_set<string> filtered_keys;
  BundleEntryProto entry;
  v2_reader_->Seek(kHeaderEntryKey);
  for (v2_reader_->Next(); v2_reader_->Valid(); v2_reader_->Next()) {

     * concurrent searches across multiple searchers and fuses the results.
     *
     * @param query the search query string
     * @param params search request parameters including pagination and filters
     * @param userBean optional user information for personalized search
     * @return list of search result documents with fused ranking scores
     */

    }

    @Test
    void testToStringWithDifferentPaths() {
        // Test with various path formats
        String[] testPaths = { "simple.txt", "path/to/file.doc", "//server/share/file.txt", "folder\\windows\\style.txt", "" // empty path
        };

        for (String path : testPaths) {
            trans2QueryPathInfo = new Trans2QueryPathInformation(config, path, TEST_INFO_LEVEL);

# This should only be necessary if there are multiple, differently-versioned
# MSVC compilers installed, and a particular one should be used.
# To find exact versions available:
# - Navigate to the relevant folder, e.g.
#     C:\Program Files\Microsoft Visual Studio\2022
# - Search for the `cl.exe` file: `gci -r -fi cl.exe`
# - The version will be part of the found path, e.g.

   "/${TARGET}/usr/lib64"
;;
esac

# Link in architecture specific includes from the system; note that we cannot
# link in the whole x86_64-linux-gnu folder, as otherwise we're overlaying
# system gcc paths that we do not want to find.
# TODO(klimek): Automate linking in all non-gcc / non-kernel include
# directories.
mkdir -p "/${TARGET}/usr/include/x86_64-linux-gnu"