awkward-to-reproduce situations like 500 errors or slow-loading responses.


### Example

Use MockWebServer the same way that you use mocking frameworks like
[Mockito](https://github.com/mockito/mockito):

1. Script the mocks.
2. Run application code.
3. Verify that the expected requests were made.

Here's a complete example:

```java
public void test() throws Exception {

        configurations["testRuntimeClasspath"].extendsFrom(platformImplementation)
        platformImplementation.withDependencies {
            // use 'withDependencies' to not attempt to find platform project during script compilation
            add(project.dependencies.create(platform(project(":distributions-dependencies"))))
        }
    }
}

fun addCompileAllTask() {
    tasks.register("compileAll") {

    }
    throw e
} catch (hudson.AbortException e) {
    echo "[FAILURE-003] AbortException ${e}"
    // this ambiguous condition means during a shell step, user probably aborted
    if (e.getMessage().contains('script returned exit code 143')) {
        currentBuild.result = "ABORTED"
    } else {
        currentBuild.result = "FAILURE"
    }
    throw e
} catch (InterruptedException e) {
    echo "[FAILURE-004] ${e}"

    // We buffer some outbound data and headers and confirm that the END_STREAM flag comes with the
    // headers (and not with the data).

    // Write the mocking script. for the client
    peer.setClient(true)

    // Write the mocking script.
    peer.sendFrame().settings(Settings())
    peer.sendFrame().headers(true, 3, headerEntries("client", "abc"))
    peer.acceptFrame() // ACK

}

# This test ensures that all the targets built into the Python package include
# their dependencies. It's a rewritten version of the "smoke test", an older
# Python script that was very difficult to understand. See
# https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py
@test "Pip package includes all required //tensorflow dependencies" {

FROM mcr.microsoft.com/dotnet/framework/sdk:4.8-windowsservercore-ltsc2019

# Set default powershell policy for this script (ProgressPreference='SilentlyContinue' makes
# downloads with Invoke-WebRequest not show the progress bar and is MUCH faster).
SHELL ["powershell.exe", "-ExecutionPolicy", "Bypass", "-Command", "$ErrorActionPreference='Stop'; $ProgressPreference='SilentlyContinue'; $VerbosePreference = 'Continue';"]

    override fun visitProperty(property: FirProperty) {
        if (visitedProperty.add(property)) {
            super.visitProperty(property)
        }
    }

    override fun visitScript(script: FirScript) {
        script.declarations.forEach {
            it.accept(this)
        }
    }

    override fun visitElement(element: FirElement) {
        element.acceptChildren(this)
    }

}

# This test ensures that all the targets built into the Python package include
# their dependencies. It's a rewritten version of the "smoke test", an older
# Python script that was very difficult to understand. See
# https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py
@test "Pip package includes all required //tensorflow dependencies" {

    ```
    cd ci/official/wheel_test
    ```
2.  Run a script for creating requirements file:
    ```
    bash update_requirements.sh <path_to_tensorflow_wheel> <python_version>
    e.g.:
    bash update_requirements.sh /tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl 3_11
    ```

#### Requirements Updater Script
This script automates the process of updating TensorFlow requirements for a
specific Python version.

# This env is only valid when RBE is available on the selected platform, since
# it enables a derived --config setting.  If RBE is not available (i.e. there
# is no --config setting), bazel would fail and quit. This script does a quick
# check This script checks for such errors early
if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then
  cat <<EOF
ERROR: RBE was enabled via the 'rbe' env in the 'TFCI' variable.
       TFCI: $TFCI