* limitations under the License.
 */

package okhttp3.internal.graal

import org.codehaus.mojo.animal_sniffer.IgnoreJRERequirement
import org.graalvm.nativeimage.hosted.Feature

/**
 * Automatic configuration of OkHttp for native images.
 *
 * Currently, includes all necessary resources.
 */
class OkHttpFeature : Feature {
  @IgnoreJRERequirement

                // We'll handle success/failure reporting inside the TEARDOWN phase
                shouldExecute = true;
            } else {
                // For regular steps:
                // Don't run for halted builds, blacklisted projects, or if predecessors failed
                shouldExecute = !status.isHalted() && !status.isBlackListed(step.project) && allPredecessorsExecuted;
            }

// A cross-domain policy file is an XML document that grants a web client, such as Adobe Flash Player
// or Adobe Acrobat (though not necessarily limited to these), permission to handle data across domains.
// When clients request content hosted on a particular source domain and that content make requests
// directed towards a domain other than its own, the remote domain needs to host a cross-domain

    * 따라서 FastAPI를 사용함으로써 개발 시간, 버그, 코드 라인을 줄일 수 있으며, FastAPI를 사용하지 않았을 때와 동일하거나 더 나은 성능을 얻을 수 있습니다(코드에서 모두 구현해야 하기 때문에).

      - v2.**
  schedule:
    - cron: '0 2 * * *'

permissions:
  contents: read

jobs:
  build:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \

appropriate to the circumstances. The project team is obligated to maintain
confidentiality with regard to the reporter of an incident.
Further details of specific enforcement policies may be posted separately.

Project maintainers who do not follow or enforce the Code of Conduct in good
faith may face temporary or permanent repercussions as determined by other
members of the project's leadership.

## Attribution

      - r2.**
  schedule:
    - cron: '0 8 * * *'

permissions:
  contents: read

jobs:
  build:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      fail-fast: false
      matrix:
        pyver: ['3.9', '3.10', '3.11', '3.12']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |

Although in FastAPI it's optional, and is used mainly to set headers, cookies, and alternative status codes.

///

### <a href="https://moltenframework.com/" class="external-link" target="_blank">Molten</a> { #molten }

I discovered Molten in the first stages of building **FastAPI**. And it has quite similar ideas:

* Based on Python type hints.
* Validation and documentation from these types.
* Dependency Injection system.

   * mutated by the call thread only. If is accessed by background connect threads.
   */
  private val tcpConnectsInFlight = CopyOnWriteArrayList<Plan>()

  /**
   * Results are posted here as they occur. The find job is done when either one plan completes
   * successfully or all plans fail.
   */
  private val connectResults = taskRunner.backend.decorate(LinkedBlockingDeque<ConnectResult>())

When you check the benchmarks, it is common to see several tools of different types compared as equivalent.

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.

The hierarchy is like:

* **Uvicorn**: an ASGI server