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docs/pt/docs/tutorial/body-multiple-params.md
=== "Python 3.8+" ```Python hl_lines="19-21" {!> ../../../docs_src/body_multiple_params/tutorial001.py!} ``` !!! note "Nota" Repare que, neste caso, o `item` que seria capturado a partir do corpo é opcional. Visto que ele possui `None` como valor padrão. ## Múltiplos parâmetros de corpo No exemplo anterior, as *operações de rota* esperariam um JSON no corpo contendo os atributos de um `Item`, exemplo:
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docs/pt/docs/tutorial/path-params-numeric-validations.md
```Python hl_lines="9" {!../../../docs_src/path_params_numeric_validations/tutorial005.py!} ``` ## Validações numéricas: valores do tipo float, maior que e menor que Validações numéricas também funcionam para valores do tipo `float`.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Oct 17 05:59:11 GMT 2023 - 5.6K bytes - Viewed (0) -
internal/config/cache/cache.go
} if c.Endpoint == "" { // Endpoint not set, make this a no-op return nil, nil } buf, err := r.MarshalMsg(nil) if err != nil { return nil, err } // We do not want Gets to take so much time, anything // beyond 250ms we should cut it, remote cache is too // busy already. ctx, cancel := context.WithTimeout(context.Background(), 250*time.Millisecond) defer cancel()
Go - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Thu Jan 18 07:03:17 GMT 2024 - 5.6K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/util/concurrent/ListenableFutureTest.java
import junit.framework.TestCase; /** Test for {@link ListenableFuture}. */ public class ListenableFutureTest extends TestCase { public void testNoNewApis() throws Exception { assertWithMessage( "Do not add new methods to ListenableFuture. Its API needs to continue to match the" + " version we released in a separate artifact com.google.guava:listenablefuture.") .that(ListenableFuture.class.getDeclaredMethods())
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Thu Jun 15 19:48:16 GMT 2023 - 1.7K bytes - Viewed (0) -
docs/en/docs/deployment/index.md
This is in contrast to the **development** stages, where you are constantly changing the code, breaking it and fixing it, stopping and restarting the development server, etc. ## Deployment Strategies There are several ways to do it depending on your specific use case and the tools that you use. You could **deploy a server** yourself using a combination of tools, you could use a **cloud service** that does part of the work for you, or other possible options.
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docker/Dockerfile.base
FROM ubuntu:noble ENV DEBIAN_FRONTEND=noninteractive # Do not add more stuff to this list that isn't small or critically useful. # If you occasionally need something on the container do # sudo apt-get update && apt-get whichever # hadolint ignore=DL3005,DL3008 RUN apt-get update && \ apt-get install --no-install-recommends -y \ ca-certificates \ curl \ iptables \ iproute2 \ iputils-ping \ knot-dnsutils \
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.github/workflows/multipart/migrate.sh
cd .github/workflows/multipart/ function cleanup() { docker-compose -f docker-compose-site1.yaml rm -s -f || true docker-compose -f docker-compose-site2.yaml rm -s -f || true for volume in $(docker volume ls -q | grep minio); do docker volume rm ${volume} || true done docker system prune -f || true docker volume prune -f || true docker volume rm $(docker volume ls -q -f dangling=true) || true } cleanup
Shell Script - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Wed Apr 24 15:54:24 GMT 2024 - 4.4K bytes - Viewed (0) -
ci/official/utilities/setup_macos.sh
# Install the necessary Python, unless it's already present pyenv install -s "$TFCI_PYTHON_VERSION" pyenv local "$TFCI_PYTHON_VERSION" # Do a sanity check to make sure that we using the correct Python version python --version fi # TFCI Mac VM images do not have twine installed by default so we need to # install it manually. We use Twine in nightly builds to upload Python packages # to PyPI.
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:23:28 GMT 2024 - 6.2K bytes - Viewed (0) -
docs/pt/docs/tutorial/extra-models.md
{!> ../../../docs_src/extra_models/tutorial001_py310.py!} ``` ### Sobre `**user_in.dict()` #### O `.dict()` do Pydantic `user_in` é um modelo Pydantic da classe `UserIn`. Os modelos Pydantic possuem um método `.dict()` que retorna um `dict` com os dados do modelo. Então, se criarmos um objeto Pydantic `user_in` como: ```Python
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docs/en/docs/advanced/path-operation-advanced-configuration.md
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