import java.util.Optional;

import org.apache.maven.api.cli.mvn.MavenOptions;
import org.apache.maven.cling.invoker.LayeredOptions;

/**
 * Options that are "layered" by precedence order.
 *
 * @param <O> the specific type of Maven Options that are layered
 */
public class LayeredMavenOptions<O extends MavenOptions> extends LayeredOptions<O> implements MavenOptions {

import java.util.Optional;
import java.util.function.Consumer;
import java.util.function.Function;

import org.apache.maven.api.cli.Options;
import org.apache.maven.api.cli.ParserRequest;

/**
 * Options that are "layered" by precedence order.
 *
 * @param <O> The type of options.
 */
public abstract class LayeredOptions<O extends Options> implements Options {
    protected final List<O> options;

whether that be from a workspace of an IDE, a local Maven repository, or a remote Maven repository. During development in an IDE we would need layered resolution approach that would allow resolution from the workspace, then the local Maven repository and then from any number of remote Maven repositories. During development from the command line we would need a layered resolution approach that would allow resolution from the local Maven repository and then from any number of remote Maven repositories. In...

  ImmediateExecutionOperation* CreateOperation() override = 0;

  // Returns whether the runtime is backed by TFRT or the legacy TF Eager
  // Runtime. This is necessary to decouple runtime-dependent
  // code that is layered on top of the runtime.
  virtual bool UsesTFRT() = 0;

  // List attributes of available devices
  virtual void ListDevices(std::vector<DeviceAttributes>* devices) = 0;

    /**
     * Each invocation computes a new map of effective properties. To be used in interpolation.
     * <p>
     * Effective properties are computed from system, user and optionally project properties, layered with
     * defined precedence onto each other to achieve proper precedence. Precedence is defined as:
     * <ul>
     *     <li>System properties (lowest precedence)</li>
     *     <li>Project properties (optional)</li>

 *   Added `jit_compile` as a settable property to `tf.keras.Model`.
 *   Added `synchronized` optional parameter to `layers.BatchNormalization`.

	}
}

// ExecObjectLayerAPINilTest - Sets the object layer to `nil`, and calls the registered object layer API endpoint,
// and assert the error response. The purpose is to validate the API handlers response when the object layer is uninitialized.

    branches:
      - master
      - r2.**
permissions:
  contents: read

jobs:
  build:
    # Don't do this in forks, and if labeled, only for 'kokoro:force-run'
    if: github.repository == 'tensorflow/tensorflow' && (github.event.action != 'labeled' || (github.event.action == 'labeled' && github.event.label.name == 'kokoro:force-run'))
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']

    types:
      - opened
      - synchronize
      - reopened
      # For label-checker
      - labeled
      - unlabeled

jobs:
  labeler:
    permissions:
      contents: read
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
    - uses: actions/labeler@v5
      if: ${{ github.event.action != 'labeled' && github.event.action != 'unlabeled' }}
    - run: echo "Done adding labels"

name: Issue Manager

on:
  schedule:
    - cron: "13 22 * * *"
  issue_comment:
    types:
      - created
  issues:
    types:
      - labeled
  pull_request_target:
    types:
      - labeled
  workflow_dispatch:

permissions:
  issues: write
  pull-requests: write

jobs:
  issue-manager:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    steps: