docker stop $running_containers;
          fi
          docker container prune -f
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository for nightly (skipped for releases)
        if: ${{ github.event_name == 'schedule' }}

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: Union[bool, None] = None


@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}


@app.put("/items/{item_id}")

//   must be either listed in `inputs` or must come from another node in
//   the body. In particular, it is an error to have a control edge going from
//   a node outside of the body into a node in the body. This applies to control
//   edges going from nodes referenced in `inputs` to nodes in the body when
//   the former nodes are not in the body (automatically skipped or not

using tensorflow::FunctionDef;
using tensorflow::Node;
using tensorflow::NodeBuilder;
using tensorflow::Status;
using tensorflow::errors::InvalidArgument;

namespace {
typedef std::unique_ptr<TF_Function, decltype(&TF_DeleteFunction)>
    UniqueFuncPtr;
}

// struct TF_Operation { tensorflow::Node node; };
static TF_Operation* ToTF_Operation(Node* node) {
  return static_cast<TF_Operation*>(static_cast<void*>(node));

        assertArrayEquals(expectedStats, parsedStats);
    }

    @Test
    void readRDataWireFormat_shouldHandleOwnerNodeTypes() throws Exception {
        // Test different owner node types (B-node, P-node, M-node, H-node)
        byte[] src = new byte[200];
        int srcIndex = 0;

        Field rDataLengthField = NameServicePacket.class.getDeclaredField("rDataLength");
        rDataLengthField.setAccessible(true);

     * The matching is based on tag name, and optionally ID, CSS class, or custom attributes.
     *
     * @param node the DOM node to check against this pruned tag configuration
     * @return true if the node matches this pruned tag configuration, false otherwise
     */
    public boolean matches(final Node node) {
        if (tag.equalsIgnoreCase(node.getNodeName())) {

...

using tensorflow::errors::InvalidArgument;

namespace tensorflow {
namespace {

absl::Status ValidateNonRefOutput(const Node* node, int idx) {
  const DataType& dt = node->output_type(idx);
  return IsRefType(dt)
             ? InvalidArgument("Output ", idx, " of node '", node->name(),
                               "' has a reference type ", DataTypeString(dt))
             : absl::OkStatus();
}

     * the data of the existing address that should be one of several
     * returned by the node status.
     */

    NodeStatusResponse(final Configuration cfg, final NbtAddress queryAddress) {
        super(cfg);
        this.queryAddress = queryAddress;
        this.recordName = new Name(cfg);
        this.macAddress = new byte[6];
    }

    @Override

     * the data of the existing address that should be one of several
     * returned by the node status.
     */

    NodeStatusResponse(final NbtAddress queryAddress) {
        this.queryAddress = queryAddress;
        recordName = new Name();
        macAddress = new byte[6];
    }

    @Override
    int writeBodyWireFormat(final byte[] dst, final int dstIndex) {