for prod and one for tests. However, unlike our other packages, as of this
    writing it has test supersource but no prod supersource.

    GWT happens to use the prod .gwt.xml, so it looks for no supersource for
    tests, either. This causes it to fail to find AtomicLongMapTest.

    Our workaround is to tell GWT that util.concurrent and all other packages

                ),
                "description": "Staging environment",
            },
            {
                "url": IsOneOf(
                    "https://prod.example.com/",
                    # TODO: remove when deprecating Pydantic v1
                    "https://prod.example.com",
                ),
                "description": "Production environment",
            },
        ],
        "paths": {
            "/app": {

tifacts-prod/us/kube-scheduler) | [amd64](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-amd64), [arm](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-arm), [arm64](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-arm64), [ppc64le](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-ppc64le), [s390x](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-s390x)...

from fastapi import FastAPI, Request

app = FastAPI(
    servers=[
        {"url": "https://stag.example.com", "description": "Staging environment"},
        {"url": "https://prod.example.com", "description": "Production environment"},
    ],
    root_path="/api/v1",
    root_path_in_servers=False,
)


@app.get("/app")
def read_main(request: Request):

<li><a href="http://sponge/target:$KOKORO_JOB_NAME">Sponge - recent jobs</a></li>
<li><a href="http://fusion2/ci/kokoro/prod:$(echo "$KOKORO_JOB_NAME" | sed 's!/!%2F!g')">Test Fusion - recent jobs</a></li>
<li><a href="http://cs/f:devtools/kokoro/config/prod/$KOKORO_JOB_NAME">Codesearch - job definition</a></li>

**Libtensorflow Windows GPU** | Status Temporarily Unavailable                                                                                                                                                   | [Nightly Binary](https://storage.googleapis.com/libtensorflow-nightly/prod/tensorflow/release/windows/lates...

from fastapi import FastAPI, Request

app = FastAPI(
    servers=[
        {"url": "https://stag.example.com", "description": "Staging environment"},
        {"url": "https://prod.example.com", "description": "Production environment"},
    ],
    root_path="/api/v1",
)


@app.get("/app")
def read_main(request: Request):

  // namespace is associated with the "environment" of "prod" or "staging";
  // you will set the selector as follows:
  // "namespaceSelector": {
  //   "matchExpressions": [
  //     {
  //       "key": "environment",
  //       "operator": "In",
  //       "values": [
  //         "prod",
  //         "staging"
  //       ]
  //     }
  //   ]
  // }
  //

       * to test it.
       */
      return;
    }

    /*
     * Only under Windows (or hypothetically when running with some other non-POSIX, ACL-based
     * filesystem) does our prod code look up the username. Thus, this test doesn't necessarily test
     * anything interesting under most environments. Still, we can run it (except for Android, at

should be locked down and restricted.  The new installer allows multiple instances of
policy/control/telemetry - so testing/staging of new settings and versions can be performed
by a different role than the prod version.

The intended users of this repo are users running Istio in production who want to select, tune
and understand each binary that gets deployed, and select which combination to use.