import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/admission/v1beta1";

// AdmissionRequest describes the admission.Attributes for the admission request.
message AdmissionRequest {

Read more about it in the [FastAPI docs for Testing](https://fastapi.tiangolo.com/tutorial/testing/).

You can import it directly from `fastapi.testclient`:

```python
from fastapi.testclient import TestClient
```

    "paid": true
}
```

and it would expect a response from that *external API* with a JSON body like:

```JSON
{
    "ok": true
}
```

!!! tip
    Notice how the callback URL used contains the URL received as a query parameter in `callback_url` (`https://www.external.org/events`) and also the invoice `id` from inside of the JSON body (`2expen51ve`).

### Add the callback router

message RollingUpdateStatefulSetStrategy {
  // Partition indicates the ordinal at which the StatefulSet should be partitioned
  // for updates. During a rolling update, all pods from ordinal Replicas-1 to
  // Partition are updated. All pods from ordinal Partition-1 to 0 remain untouched.
  // This is helpful in being able to do a canary based deployment. The default value is 0.
  // +optional
  optional int32 partition = 1;

There are several custom response classes you can use to create an instance and return them directly from your *path operations*.

Read more about it in the [FastAPI docs for Custom Response - HTML, Stream, File, others](https://fastapi.tiangolo.com/advanced/custom-response/).

You can import them directly from `fastapi.responses`:

```python
from fastapi.responses import (
    FileResponse,
    HTMLResponse,
    JSONResponse,

    *   Upgrade Flatbuffers v2.0.5 from v1.12.0

*   `tf.keras`:

    *   `EinsumDense` layer is moved from experimental to core. Its import path
        is moved from `tf.keras.layers.experimental.EinsumDense` to
        `tf.keras.layers.EinsumDense`.
    *   Added `tf.keras.utils.audio_dataset_from_directory` utility to easily
        generate audio classification datasets from directories of `.wav` files.

  @Throws(IOException::class)
  internal fun planConnect(): ConnectPlan {
    // Use a route from a preceding coalesced connection.
    val localNextRouteToTry = nextRouteToTry
    if (localNextRouteToTry != null) {
      nextRouteToTry = null
      return planConnectToRoute(localNextRouteToTry)
    }

    // Use a route from an existing route selection.
    val existingRouteSelection = routeSelection

```

!!! note "Technical Details"
    You could also use `from starlette.responses import Response` or `from starlette.responses import JSONResponse`.

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

 * limitations under the License.
 */
import gradlebuild.basics.classanalysis.Attributes.artifactType
import gradlebuild.basics.classanalysis.Attributes.minified
import gradlebuild.basics.transforms.Minify

/**
 * A map from artifact name to a set of class name prefixes that should be kept.
 * Artifacts matched by this map will be minified to only contain the specified
 * classes and the classes they depend on. The classes are not relocated, they all

 * limitations under the License.
 */

package util

import common.Arch
import common.BuildToolBuildJvm
import common.JvmVendor
import common.JvmVersion
import common.KillProcessMode.KILL_LEAKED_PROCESSES_FROM_PREVIOUS_BUILDS
import common.KillProcessMode.KILL_PROCESSES_STARTED_BY_GRADLE
import common.Os
import common.applyDefaultSettings
import common.buildToolGradleParameters
import common.checkCleanM2AndAndroidUserHome