Wybierz opcję "Tylko wydania".

Dzięki temu będziesz otrzymywać powiadomienia (na swój adres e-mail) za każdym razem, gdy pojawi się nowe wydanie (nowa wersja) **FastAPI** z poprawkami błędów i nowymi funkcjami.

## Skontaktuj się z autorem

          if [ -f ${{ env.TAR_BALL }} ]; then
            temp_dir=$(mktemp -d)
            tar -xzf ${{ env.TAR_BALL }} -C "$temp_dir" --strip 1
            maven_bin_dir=$temp_dir/bin
            if [ -d $maven_bin_dir ]; then
              echo "tar.gz file \"${{ env.TAR_BALL }}\" successfully extracted in temporarily directory \"$temp_dir.\""
              echo "TEMP_MAVEN_BIN_DIR=$maven_bin_dir" >> $GITHUB_ENV
            else

    AbstractTensorHandle* temp_output;

    // Calculate conjugate of X
    std::string name = "Conj_Log1p_Grad_X";
    TF_RETURN_IF_ERROR(SafeConj(ctx, X, &temp_output, name.c_str()));

    AbstractTensorHandlePtr Conj_X(temp_output);

    // Creates Ones
    name = "OnesLike_Log1p_Grad_X";
    TF_RETURN_IF_ERROR(OnesLike(ctx, Conj_X.get(), &temp_output, name.c_str()));

  std::vector<AbstractTensorHandle*> temp_outputs(2);
  TF_RETURN_IF_ERROR(
      ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN"));
  // Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed
  // for computing gradient so we could safely drop it.
  outputs[0] = temp_outputs[1];
  temp_outputs[0]->Unref();
  return absl::OkStatus();
}

class CppGradients

      tape.Watch(inputs[i]);
    }
    std::vector<AbstractTensorHandle*> temp_outputs(1);
    AbstractContextPtr tape_ctx(new TapeContext(ctx, &tape, grad_registry));
    TF_RETURN_IF_ERROR(
        forward_model(tape_ctx.get(), inputs, absl::MakeSpan(temp_outputs)));

    TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx, /*targets=*/temp_outputs,
                                            /*sources=*/inputs,

      }

      HTTP_UNAUTHORIZED -> return client.authenticator.authenticate(route, userResponse)

      HTTP_PERM_REDIRECT, HTTP_TEMP_REDIRECT, HTTP_MULT_CHOICE, HTTP_MOVED_PERM, HTTP_MOVED_TEMP, HTTP_SEE_OTHER -> {
        return buildRedirectRequest(userResponse, method)
      }

      HTTP_CLIENT_TIMEOUT -> {

}

fun Response.commonNewBuilder(): Response.Builder = Response.Builder(this)

val Response.commonIsRedirect: Boolean
  get() =
    when (code) {
      HTTP_PERM_REDIRECT, HTTP_TEMP_REDIRECT, HTTP_MULT_CHOICE, HTTP_MOVED_PERM, HTTP_MOVED_TEMP, HTTP_SEE_OTHER -> true
      else -> false
    }

val Response.commonCacheControl: CacheControl
  get() {
    var result = lazyCacheControl
    if (result == null) {

initial_state = {"except": False, "finally": False}

state = initial_state.copy()

app = FastAPI()


async def get_database():
    temp_database = fake_database.copy()
    try:
        yield temp_database
        fake_database.update(temp_database)
    except HTTPException:
        state["except"] = True
        raise
    finally:
        state["finally"] = True

      File temp = TempFileCreator.INSTANCE.createTempFile("FileBackedOutputStream");
      if (resetOnFinalize) {
        // Finalizers are not guaranteed to be called on system shutdown;
        // this is insurance.
        temp.deleteOnExit();
      }
      try {
        FileOutputStream transfer = new FileOutputStream(temp);
        transfer.write(memory.getBuffer(), 0, memory.getCount());

## `async` e `await`

Versões modernas do Python tem um modo muito intuitivo para definir código assíncrono. Isso faz parecer normal o código "sequencial" e fazer o "esperar" para você nos momentos certos.

Quando tem uma operação que exigirá espera antes de dar os resultados e tem suporte para esses recursos Python, você pode escrever assim:

```Python
burgers = await get_burgers(2)
```