// the time when allocation started.
  // +optional
  optional string driverName = 1;

  // Allocation is set by the resource driver once a resource or set of
  // resources has been allocated successfully. If this is not specified, the
  // resources have not been allocated yet.
  // +optional
  optional AllocationResult allocation = 2;

 * this class separates _allocations_ from _streams_. An allocation is created by a call, used for
 * one or more streams, and then released. An allocated connection won't be stolen by other calls
 * while a redirect or authorization challenge is being handled.
 *
 * When the maximum concurrent streams limit is reduced, some allocations will be rescinded.
 * Attempting to create new streams on these allocations will fail.
 *

      type == TYPE_PUSH_PROMISE && flags and FLAG_END_PUSH_PROMISE != 0 -> {
        result.replace("HEADERS", "PUSH_PROMISE") // TODO: Avoid allocation.
      }
      type == TYPE_DATA && flags and FLAG_COMPRESSED != 0 -> {
        result.replace("PRIORITY", "COMPRESSED") // TODO: Avoid allocation.
      }
      else -> result
    }
  }

	// Buffers below this is not reused.
	minBufferSize = 1 << 10

	// defaultBufferSize is the default buffer allocation size.
	defaultBufferSize = 4 << 10

	// maxBufferSize is the maximum buffer size.
	// Buffers larger than this is not reused.
	maxBufferSize = 96 << 10

	// This is the assumed size of bigger buffers and allocation size.
	biggerBufMin = 32 << 10

	// This is the maximum size of bigger buffers.

	// The actual maximum token size may be smaller as the buffer
	// may need to include, for instance, a newline.
	MaxScanTokenSize = 64 * 1024

	startBufSize = 4096 // Size of initial allocation for buffer.
)

// NewScanner returns a new [Scanner] to read from r.
// The split function defaults to [ScanLines].
func NewScanner(r io.Reader) *Scanner {
	return &Scanner{
		r:            r,

TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

Since any tenants or users providing models, graphs or checkpoints can execute
code in context of the TensorFlow service, it is important to design isolation

- **Setup Requirements**: Requires the Istio control plane to be initialized with security configurations.

### Implications of Test Setup

- **Resource Allocation**: Ensure that the necessary resources (e.g., pods, namespaces) are allocated for the components being tested.
- **Isolation**: Tests should be isolated to prevent interference between different components and test cases.

     *
     * @throws IOException if `protocol` is unknown.
     */
    @JvmStatic
    @Throws(IOException::class)
    fun get(protocol: String): Protocol {
      // Unroll the loop over values() to save an allocation.
      @Suppress("DEPRECATION")
      return when (protocol) {
        HTTP_1_0.protocol -> HTTP_1_0
        HTTP_1_1.protocol -> HTTP_1_1
        H2_PRIOR_KNOWLEDGE.protocol -> H2_PRIOR_KNOWLEDGE

   * `allocations.size() < allocationLimit` then new streams can be created on this connection.
   */
  internal var allocationLimit = 1
    private set

  /** Current calls carried by this connection. */
  val calls = mutableListOf<Reference<RealCall>>()

  /** Timestamp when `allocations.size()` reached zero. Also assigned upon initial connection. */

// license that can be found in the LICENSE file.

package bytes

// Simple byte buffer for marshaling data.

import (
	"errors"
	"io"
	"unicode/utf8"
)

// smallBufferSize is an initial allocation minimal capacity.
const smallBufferSize = 64

// A Buffer is a variable-sized buffer of bytes with [Buffer.Read] and [Buffer.Write] methods.
// The zero value for Buffer is an empty buffer ready to use.
type Buffer struct {