// If the container filesystem and image filesystem are not separate,
	// than imagefs can store both image layers and writeable layers.
	SignalImageFsAvailable Signal = "imagefs.available"
	// SignalImageFsInodesFree is amount of inodes available on filesystem that container runtime uses for storing images layers.
	// If the container filesystem and image filesystem are not separate,

 *
 * In order to generate realistic project dependencies, we split the projects to layers and generate
 * dependencies to projects in lower layers. The sizes of different layers are created so that
 * the first and last layers are the smallest and the layers in the middle are the largest.
 *
 * For example when numberOfProjects = 150, 10 layers will be created with sizes of
 * [1, 2, 6, 16, 50, 50, 16, 6, 2, 1]
 *

# Some tf endpoints actually lives under Keras.
_current_module.layers = _KerasLazyLoader(
    globals(),
    submodule="__internal__.legacy.layers",
    name="layers",
    mode="v1")
if _tf_uses_legacy_keras:
  _module_dir = _module_util.get_parent_dir_for_name(
      "tf_keras.api._v1.keras.__internal__.legacy.layers")
else:
  _module_dir = _module_util.get_parent_dir_for_name(

def mnist_model():
  """Creates a MNIST model."""
  model = tf.keras.models.Sequential()
  model.add(tf.keras.layers.Flatten())
  model.add(tf.keras.layers.Dense(128, activation='relu'))
  model.add(tf.keras.layers.Dense(10, activation='softmax'))
  return model


class TestModule(tf.Module):

  def __init__(self):
    super(TestModule, self).__init__()

# Some tf endpoints actually lives under Keras.
_current_module.layers = _KerasLazyLoader(
    globals(),
    submodule="__internal__.legacy.layers",
    name="layers",
    mode="v1")
if _tf_uses_legacy_keras:
  _module_dir = _module_util.get_parent_dir_for_name(
      "tf_keras.api._v1.keras.__internal__.legacy.layers")
else:
  _module_dir = _module_util.get_parent_dir_for_name(

	if err != nil {
		return "", fmt.Errorf("failed to get manifest: %v", err)
	}
	if len(manifest.Layers) != 1 {
		return "", fmt.Errorf("docker image does not have one layer (got %v)", len(manifest.Layers))
	}

	return fmt.Sprintf("https://%v/v2/%v/blobs/%v", *registry, imageName, manifest.Layers[0].Digest.String()), nil
}

func (h *Handler) ServeHTTP(w http.ResponseWriter, r *http.Request) {

	// it should return an error and allow higher layers to
	// enumerate the directory.
	GetConsumption(path string, id QuotaID) (int64, error)

	// GetInodes returns the number of inodes used by the
	// directory, determined by the implementation's quota-based
	// mechanism.  If it is unable to do so using that mechanism,
	// it should return an error and allow higher layers to
	// enumerate the directory.

 */

package org.gradle.internal.model;

import org.gradle.api.Project;

/**
 * This listener is notified when a rule based plugin is applied to a project.
 * Listeners can react to this by activating compatibility layers that are otherwise not necessary.
 */
public interface RuleBasedPluginListener {

    void prepareForRuleBasedPlugins(Project project);

# -----------------------------------------------------------------------------
# Specification
# -----------------------------------------------------------------------------

# Card size and layers
size: { width: 1200, height: 630 }
layers:

  # Background
  - background:
      image: *background_image
      color: *background_color

  # Logo
  - size: { width: 144, height: 144 }
    offset: { x: 992, y: 64 }

will track Kubernetes and be compatible with that repo. As we more cleanly separate the layers, we will review the
compatibility guarantee.


## Where does it come from?

`apimachinery` is synced from https://github.com/kubernetes/kubernetes/blob/master/staging/src/k8s.io/apimachinery.
Code changes are made in that location, merged into `k8s.io/kubernetes` and later synced here.


## Things you should *NOT* do