public HttpUrl authorizeUrl(String scopes, HttpUrl redirectUrl, ByteString state, String team) {
    HttpUrl.Builder builder = baseUrl.newBuilder("/oauth/authorize")
        .addQueryParameter("client_id", clientId)
        .addQueryParameter("scope", scopes)
        .addQueryParameter("redirect_uri", redirectUrl.toString())
        .addQueryParameter("state", state.base64());

    if (team != null) {

        try {
            KotlinCodegenFacade.compileCorrectFiles(state)

            val backendErrors = computeErrors(state.collectedExtraJvmDiagnostics, allowedErrorFilter)
            if (backendErrors.isNotEmpty()) {
                return KtCompilationResult.Failure(backendErrors)
            }

            val outputFiles = state.factory.asList().map(::KtCompiledFileForOutputFile)

     * most common. This is the state information that would be retrieved from
     * WINS for example. Natrually it is not practical for every NbtAddress
     * to be populated will all state requiring a Node Status on every host
     * encountered. The below methods allow state to be populated when requested
     * in a lazy fashon.
     */

            - url
            - base_url
            - headers
            - query_params
            - path_params
            - cookies
            - client
            - state
            - url_for
            - client_state
            - application_state
            - receive
            - send
            - accept
            - receive_text
            - receive_bytes
            - receive_json
            - iter_text

  // indicates an unknown state. In most cases consumers should interpret this
  // unknown state as ready. For compatibility reasons, ready should never be
  // "true" for terminating endpoints.
  // +optional
  optional bool ready = 1;

  // serving is identical to ready except that it is set regardless of the
  // terminating state of endpoints. This condition should be set to true for

        String ret = "NtlmContext[auth=" + this.auth + ",ntlmsspFlags=0x" + Hexdump.toHexString(this.ntlmsspFlags, 8) + ",workstation="
                + this.workstation + ",isEstablished=" + this.isEstablished + ",state=" + this.state + ",serverChallenge=";
        if ( this.serverChallenge == null ) {
            ret += "null";
        }
        else {
            ret += Hexdump.toHexString(this.serverChallenge);
        }

  TFE_DeleteContext(ctx);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);
}
BENCHMARK(BM_InitOp);

void BM_Execute(::testing::benchmark::State& state) {
  const int async = state.range(0);
  state.SetLabel(async ? "ExecuteAsync" : "Execute");
  TF_Status* status = TF_NewStatus();
  TFE_ContextOptions* opts = TFE_NewContextOptions();

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing...

from fastapi.requests import HTTPConnection
from fastapi.testclient import TestClient
from starlette.websockets import WebSocket

app = FastAPI()
app.state.value = 42


async def extract_value_from_http_connection(conn: HTTPConnection):
    return conn.app.state.value


@app.get("/http")
async def get_value_by_http(value: int = Depends(extract_value_from_http_connection)):
    return value


@app.websocket("/ws")

            }

            ScopeState state = stack.getFirst();

            Provider<?> seeded = state.seeded.get(key);

            if (seeded != null) {
                return (T) seeded.get();
            }

            T provided = (T) state.provided.get(key);
            if (provided == null && unscoped != null) {