Comencemos con un ejemplo y luego veámoslo en detalle.

Creamos una función asíncrona `lifespan()` con `yield` así:

{* ../../docs_src/events/tutorial003.py hl[16,19] *}

Nós criamos uma função assíncrona chamada `lifespan()` com `yield` como este:

{* ../../docs_src/events/tutorial003.py hl[16,19] *}

Aqui nós estamos simulando a *inicialização* custosa do carregamento do modelo colocando a (falsa) função de modelo no dicionário com modelos de _machine learning_ antes do `yield`. Este código será executado **antes** da aplicação **começar a receber requisições**, durante a *inicialização*.

if [[ "$TFCI_DOCKER_PULL_ENABLE" == 1 ]]; then
  # Simple retry logic for docker-pull errors. Sleeps if a pull fails.
  # Pulling an already-pulled container image will finish instantly, so
  # repeating the command costs nothing.
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 15
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 30
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 60
  docker pull "$TFCI_DOCKER_IMAGE"
fi 

      description: "How many tools (such as vet, gopls, gofmt, goimports, etc.) would be affected? "
    validations:
      required: false

  - type: input
    id: perf-costs
    attributes:
      label: Performance Costs
      description: "What is the compile time cost? What is the run time cost? "
    validations:
      required: false

  - type: textarea
    id: prototype
    attributes:

kina faso","burundi","cabo verde","cambodia","cameroon","canada","cayman islands","central african republic","chad","chile","china","christmas island","cocos islands","colombia","comoros","democratic republic of the congo","congo","cook islands","costa rica","côte d'ivoire","croatia","cuba","curaçao","cyprus","czechia","denmark","djibouti","dominica","dominican republic","ecuador","egypt","el salvador","equatorial guinea","eritrea","estonia","ethiopia","falkland islands","faroe islands","fiji","...

 * could in principle cause problems for some users. Still, we expect that the benefits of the
 * nullness annotations in particular will outweigh the costs. (And it's worth noting that we have
 * released multiple ListenableFuture.class files that are not byte-for-byte compatible even from
 * the beginning, thanks to using different `-source -target` values for compiling our `-jre` and

 * could in principle cause problems for some users. Still, we expect that the benefits of the
 * nullness annotations in particular will outweigh the costs. (And it's worth noting that we have
 * released multiple ListenableFuture.class files that are not byte-for-byte compatible even from
 * the beginning, thanks to using different `-source -target` values for compiling our `-jre` and

 * could in principle cause problems for some users. Still, we expect that the benefits of the
 * nullness annotations in particular will outweigh the costs. (And it's worth noting that we have
 * released multiple ListenableFuture.class files that are not byte-for-byte compatible even from
 * the beginning, thanks to using different `-source -target` values for compiling our `-jre` and

clusters via the ILM transition feature. This will allow transitioning of older objects to a different cluster or the public cloud by setting up transition rules in the bucket lifecycle configuration. This feature enables applications to optimize storage costs by moving less frequently accessed data to a cheaper storage without compromising accessibility of data.

To transition objects in a bucket to a destination bucket on a different cluster, applications need to specify a transition tier defined...