affinity: {} ## List of buckets to be created after minio install ## buckets: # # Name of the bucket # - name: bucket1 # # Policy to be set on the # # bucket [none|download|upload|public] # policy: none # # Purge if bucket exists already # purge: false # # set versioning for # # bucket [true|false] # versioning: false # - name: bucket2 # policy: none # purge: false # versioning: true ## Additional Annotations for the Kubernetes Job makeBucketJob makeBucketJob: podAnnotations: annotations: securityContext:...

affinity: {} ## List of buckets to be created after minio install ## buckets: # # Name of the bucket # - name: bucket1 # # Policy to be set on the # # bucket [none|download|upload|public] # policy: none # # Purge if bucket exists already # purge: false # # set versioning for # # bucket [true|false] # versioning: false # - name: bucket2 # policy: none # purge: false # versioning: true ## Additional Annotations for the Kubernetes Job makeBucketJob makeBucketJob: podAnnotations: annotations: securityContext:...

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile

Now in the same project directory create a file `Dockerfile` with:

```{ .dockerfile .annotate }
# (1)!
FROM python:3.9

    @CheckForNull private volatile ScheduledExecutorService executorService;

    // This lock protects the task so we can ensure that none of the template methods (startUp,
    // shutDown or runOneIteration) run concurrently with one another.
    // TODO(lukes): why don't we use ListenableFuture to sequence things? Then we could drop the
    // lock.
    private final ReentrantLock lock = new ReentrantLock();

  // The number of nodes that should be running the
  // daemon pod and have one or more of the daemon pod running and
  // available (ready for at least spec.minReadySeconds)
  // +optional
  optional int32 numberAvailable = 7;

  // The number of nodes that should be running the
  // daemon pod and have none of the daemon pod running and available
  // (ready for at least spec.minReadySeconds)
  // +optional

// that shares the underlying buffer. Otherwise, it currently requires at least
// one of the source or destination devices to be CPU (i.e., for the source or
// destination tensor to be placed in host memory).
// If async execution is enabled, the copy may be enqueued and the call will
// return "non-ready" handle. Else, this function returns after the copy has
// been done.
TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_TensorHandleCopyToDevice(

from docs_src.header_params.tutorial001_an import app

client = TestClient(app)


@pytest.mark.parametrize(
    "path,headers,expected_status,expected_response",
    [
        ("/items", None, 200, {"User-Agent": "testclient"}),
        ("/items", {"X-Header": "notvalid"}, 200, {"User-Agent": "testclient"}),
        ("/items", {"User-Agent": "FastAPI test"}, 200, {"User-Agent": "FastAPI test"}),
    ],
)

        {
            "detail": [
                {
                    "type": "missing",
                    "loc": ["query", "needy"],
                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["query", "needy"],

  if ! grep -L -q -e "Apache License, Version 2" "${fn}"; then
    echo "Missing license: ${fn}"
    ec=1
  fi

  if ! grep -L -q -e "Copyright" "${fn}"; then
    echo "Missing copyright: ${fn}"
    ec=1
  fi
done

    }

    /**
     * The logic used here used to be a copy of the logic used in the DefaultArtifactCollector, and this method was
     * called right before the actual version/artifactScope changes were done. However, a different set of conditionals
     * (and more information) is needed to be able to determine when and if the version and/or artifactScope changes.