# Define this here and not in the main mkdocs.yml file because that one is auto
# updated and written, and the script would remove the env var
markdown_extensions:
  pymdownx.highlight:

against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:

// - total size of the bucket
// - total objects in a bucket
// - object size histogram per bucket
type BucketUsageInfo struct {
	Size uint64 `json:"size"`
	// Following five fields suffixed with V1 are here for backward compatibility
	// Total Size for objects that have not yet been replicated
	ReplicationPendingSizeV1 uint64 `json:"objectsPendingReplicationTotalSize"`

      // should never reach here!
      throw new UnsupportedOperationException();
    }

    @Override
    public Entry<K, V> belowSamplesGreater() {
      // should never reach here!
      throw new UnsupportedOperationException();
    }

    @Override
    public Entry<K, V> aboveSamplesLesser() {
      // should never reach here!
      throw new UnsupportedOperationException();
    }

    static String getMessageByCode(final int errcode) {
        /* Note there's a signedness error here because 0xC0000000 based values are
         * negative so it with NT_STATUS_SUCCESS (0) the binary search will not be
         * performed properly. The effect is that the code at index 1 is never found
         * (NT_STATUS_UNSUCCESSFUL). So here we factor out NT_STATUS_SUCCESS
         * as a special case (which it is).
         */

  @Benchmark
  void postStrings(int reps) {
    for (int i = 0; i < reps; i++) {
      eventBus.post("hello there");
    }
  }

  @Subscribe
  public void handleStrings(String string) {
    // Nothing to do here.
  }

    client = TestClient(mod.app)
    response = client.get("/items/foo")
    assert response.status_code == 404, response.text
    assert response.json() == {"detail": "Item not found, there's only a plumbus here"}


def test_get(mod: ModuleType):
    client = TestClient(mod.app)
    response = client.get("/items/plumbus")
    assert response.status_code == 200, response.text
    assert response.json() == "plumbus"

import jetbrains.buildServer.configs.kotlin.BuildSteps
import jetbrains.buildServer.configs.kotlin.DslContext
import jetbrains.buildServer.configs.kotlin.buildSteps.GradleBuildStep

fun DslContext.initForTest() {
    // Set the project id here, so we can use methods on the DslContext
    parentProjectId = AbsoluteId("Gradle")
    projectId = AbsoluteId("Gradle_Master")
    settingsRootId = AbsoluteId("GradleMaster")
    settingsRoot.name = "GradleMaster"

    actualBranch.startsWith("gh-readonly-queue/") -> actualBranch.substringAfter("/").substringBefore("/")
    else -> actualBranch
}

/**
 * The build environment.
 *
 * WARNING: Every val in here must not change for they same daemon. If it does, changes will go undetected,
 *          since this whole object is kept in the classloader between builds.

{* ../../docs_src/first_steps/tutorial001_py39.py hl[3] *}

Here the `app` variable will be an "instance" of the class `FastAPI`.

This will be the main point of interaction to create all your API.

### Step 3: create a *path operation* { #step-3-create-a-path-operation }

#### Path { #path }

"Path" here refers to the last part of the URL starting from the first `/`.

So, in a URL like: