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,

processed for analytics, PII should be redacted. However, if the same dataset is used for a marketing campaign, you might need to enrich the data with additional details, such as information from the customer loyalty database.

MinIO's Object Lambda, enables application developers to process data retrieved from MinIO before returning it to an application. You can register a Lambda Function target on MinIO, once successfully registered it can be used to transform the data for application GET requests...

    *   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