}

        final int hdrStart = getHeaderStart();
        if (securityBufferLength > 0) {
            // Validate that security buffer doesn't exceed available data
            if (hdrStart + securityBufferOffset < hdrStart || // Check for integer overflow
                    hdrStart + securityBufferOffset + securityBufferLength < 0 || // Check for integer overflow

            columnList.add(name);
        }

        public void columnId() {
            doColumn("_id");
        }

        public void columnAvailable() {
            doColumn("available");
        }

        public void columnBoost() {
            doColumn("boost");
        }

        public void columnConfigParameter() {
            doColumn("configParameter");
        }

You could also use `from starlette.templating import Jinja2Templates`.

**FastAPI** provides the same `starlette.templating` as `fastapi.templating` just as a convenience for you, the developer. But most of the available responses come directly from Starlette. The same with `Request` and `StaticFiles`.

///

## Writing templates { #writing-templates }

Then you can write a template at `templates/item.html` with, for example:

			pools:          reducedPools,
			name:           "Correct-Decom-Pool-Removed",
			expectedErr:    false,
			expectedUpdate: true,
		},
		{
			meta:           poolMeta{}, // no-pool info available fresh setup.
			pools:          pools,
			name:           "Correct-Fresh-Setup",
			expectedErr:    false,
			expectedUpdate: true,
		},
		{
			meta:           nmeta2,
			pools:          orderChangePools,

        } catch (IllegalStateException e) {
            // Expected when container is not initialized
            if (e.getMessage().contains("Not initialized")) {
                // Skip test when container is not available
                return;
            }
            throw e;
        }
    }

    private void assertImageSize(File file, int width, int height) throws IOException {

        requestBody.put("paths", "file:///example/path/");
        requestBody.put("num_of_thread", 5);
        requestBody.put("interval_time", 1000);
        requestBody.put("boost", 100.0);
        requestBody.put("available", true);
        requestBody.put("sort_order", 1);
        checkMethodBase(requestBody).post("/api/admin/fileconfig/setting")
                .then()
                .body("response.created", equalTo(true))

		fail("no udid found; is a device connected?")
	}

	mps := detectMobileProvisionFiles(udids)
	if len(mps) == 0 {
		fail("did not find mobile provision matching device udids %q", udids)
	}

	fmt.Println("# Available provisioning profiles below.")
	fmt.Println("# NOTE: Any existing app on the device with the app id specified by GOIOS_APP_ID")
	fmt.Println("# will be overwritten when running Go programs.")
	for _, mp := range mps {

import java.util.Set;
import org.jspecify.annotations.NullMarked;
import org.jspecify.annotations.Nullable;

/**
 * Derived suite generators for Guava collection interfaces, split out of the suite builders so that
 * they are available to GWT.
 *
 * @author Louis Wasserman
 */
@GwtCompatible
@NullMarked
public final class DerivedGoogleCollectionGenerators {
  public static class MapGenerator<K extends @Nullable Object, V extends @Nullable Object>

        byte[] buffer = new byte[32];
        // Mock data for FsFullSizeInformation
        writeInt8(3000, buffer, 0); // total allocation units
        writeInt8(1500, buffer, 8); // caller available allocation units
        writeInt8(1500, buffer, 16); // actual free units (skipped)
        writeInt4(4, buffer, 24); // sectors per allocation unit
        writeInt4(8192, buffer, 28); // bytes per sector

streaming compression due to its stability and performance.

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.
Decompression speed is typically at least 1GB/s.

This means that in cases where raw IO is below these numbers
compression will not only reduce disk usage but also help increase system throughput.