cuda-libraries-dev-12-1
cuda-nvml-dev-12-1
libcufft-12-1
libcurand-12-1
libcusolver-dev-12-1
libcusparse-dev-12-1
libcublas-12-1
libcublas-dev-12-1
libnccl-dev=2.18.3-1+cuda12.1
libnccl2=2.18.3-1+cuda12.1
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1

* etc.

It can be convenient to quickly access HTTP (and WebSocket) status codes in your app, using autocompletion for the name without having to remember the integer status codes by memory.

Read more about it in the [FastAPI docs about Response Status Code](https://fastapi.tiangolo.com/tutorial/response-status-code/).

## Example

```python
from fastapi import FastAPI, status

app = FastAPI()

module github.com/minio/minio/docs/debugging/inspect

go 1.23.0

toolchain go1.24.2

require (
	github.com/klauspost/compress v1.17.11
	github.com/klauspost/filepathx v1.1.1
	github.com/minio/colorjson v1.0.8
	github.com/minio/madmin-go/v3 v3.0.88
	github.com/secure-io/sio-go v0.3.1
	github.com/tinylib/msgp v1.2.5
)

require (
	github.com/cespare/xxhash/v2 v2.3.0 // indirect
	github.com/fatih/color v1.18.0 // indirect

# Corpo - Atualizações

## Atualização de dados existentes com `PUT`

Para atualizar um item, você pode usar a operação <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/PUT" class="external-link" target="_blank">HTTP `PUT`</a>.

Você pode usar `jsonable_encoder` para converter os dados de entrada em dados que podem ser armazenados como JSON (por exemplo, com um banco de dados NoSQL). Por exemplo, convertendo `datetime` em `str`.

      uses: gradle/actions/dependency-submission@v4
      env:
        # Exclude some projects and configurations that should not contribute to the dependency graph
        DEPENDENCY_GRAPH_EXCLUDE_PROJECTS: ':docs|:internal-performance-testing|:enterprise-plugin-performance|:performance|:internal-integ-testing'

👀 👈 `status_code` 🔢 "👨‍🎨" 👩‍🔬 (`get`, `post`, ♒️). 🚫 👆 *➡ 🛠️ 🔢*, 💖 🌐 🔢 & 💪.

///

`status_code` 🔢 📨 🔢 ⏮️ 🇺🇸🔍 👔 📟.

/// info

`status_code` 💪 👐 📨 `IntEnum`, ✅ 🐍 <a href="https://docs.python.org/3/library/http.html#http.HTTPStatus" class="external-link" target="_blank">`http.HTTPStatus`</a>.

///

⚫️ 🔜:

* 📨 👈 👔 📟 📨.
* 📄 ⚫️ ✅ 🗄 🔗 ( &amp; , 👩‍💻 🔢):

* `datetime.timedelta`:
    * 파이썬의 `datetime.timedelta`.
    * 요청과 응답에서 전체 초(seconds)의 `float`로 표현됩니다.
    * Pydantic은 "ISO 8601 시차 인코딩"으로 표현하는 것 또한 허용합니다. <a href="https://docs.pydantic.dev/latest/concepts/serialization/#json_encoders" class="external-link" target="_blank">더 많은 정보는 이 문서에서 확인하십시오.</a>.
* `frozenset`:
    * 요청과 응답에서 `set`와 동일하게 취급됩니다:
        * 요청 시, 리스트를 읽어 중복을 제거하고 `set`로 변환합니다.

cuda-libraries-dev-12-8
cuda-nvml-dev-12-8
libcufft-12-8
libcurand-12-8
libcusolver-dev-12-8
libcusparse-dev-12-8
libcublas-12-8
libcublas-dev-12-8
libnccl-dev=2.25.1-1+cuda12.8
libnccl2=2.25.1-1+cuda12.8
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.8.0.87-1

cuda-libraries-dev-13-0
cuda-nvml-dev-13-0
libcufft-13-0
libcurand-13-0
libcusolver-dev-13-0
libcusparse-dev-13-0
libcublas-13-0
libcublas-dev-13-0
libnccl-dev=2.27.7-1+cuda13.0
libnccl2=2.27.7-1+cuda13.0
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-13=9.12.0.46-1

[files]
extend-exclude = [".git/", "docs/", "CREDITS", "go.mod", "go.sum"]
ignore-hidden = false

[default]
extend-ignore-re = [
    "Patrick Collison",
    "Copyright 2014 Unknwon",
    "[0-9A-Za-z/+=]{64}",
    "ZXJuZXQxDjAMBgNVBA-some-junk-Q4wDAYDVQQLEwVNaW5pbzEOMAwGA1UEAxMF",
    "eyJmb28iOiJiYXIifQ",
    "eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.*",
    "MIIDBTCCAe2gAwIBAgIQWHw7h.*",
    'http\.Header\{"X-Amz-Server-Side-Encryptio":',