/**
   * The interval between two unit requests, at our stable rate. E.g., a stable rate of 5 permits
   * per second has a stable interval of 200ms.
   */
  double stableIntervalMicros;

  /**
   * The time when the next request (no matter its size) will be granted. After granting a request,
   * this is pushed further in the future. Large requests push this further than small requests.
   */

Install the necessary dependencies.
```sh
pip install flask requests
```

Following is an example lambda handler.
```py
from flask import Flask, request, abort, make_response
import requests

app = Flask(__name__)
@app.route('/', methods=['POST'])
def get_webhook():
	if request.method == 'POST':
		# obtain the request event from the 'POST' call
		event = request.json

		object_context = event["getObjectContext"]

You can read more details about the [`Request` object in the official Starlette documentation site](https://www.starlette.dev/requests/).

/// note | Technical Details

You could also use `from starlette.requests import Request`.

**FastAPI** provides it directly just as a convenience for you, the developer. But it comes directly from Starlette.

    about: Community support via Slack - for questions and discussions
  - name: MinIO Enterprise Support (SUBNET)
    url: https://min.io/pricing

   * with a differently behaving {@code loader}. For example, a call that requests a short timeout
   * for an RPC may wait for a similar call that requests a long timeout, or a call by an
   * unprivileged user may return a resource accessible only to a privileged user making a similar
   * call. To prevent this problem, create a key object that includes all values that affect the

            throws ArtifactResolutionException {
        List<ArtifactResult> results = new ArrayList<>();

        for (ArtifactRequest request : requests) {
            ArtifactResult result = new ArtifactResult(request);
            results.add(result);

            Artifact artifact = request.getArtifact();

pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After
the change has been submitted internally, your pull request will be merged
automatically on GitHub.

If you want to contribute, start working through the TensorFlow codebase,
navigate to the

- 成为微框架，便于按需组合所需的工具与组件。
- 提供简单易用的路由系统。

///

### [Requests](https://requests.readthedocs.io) { #requests }

**FastAPI** 实际上不是 **Requests** 的替代品。它们的作用范围完全不同。

在 FastAPI 应用程序内部使用 Requests 其实非常常见。

尽管如此，FastAPI 依然从 Requests 中获得了不少灵感。

**Requests** 是一个用于与 API 交互（作为客户端）的库，而 **FastAPI** 是一个用于构建 API（作为服务端）的库。

它们处在某种意义上的“对立端”，彼此互补。

Requests 设计非常简单直观，易于使用，且有合理的默认值。同时它也非常强大、可定制。

这就是为什么，正如其官网所说：

---
- job:
    name: "elastic+elasticsearch+pull-request+{pr-job}"
    display-name: "elastic / elasticsearch - pull request {pr-job}"
    description: "Testing of Elasticsearch pull requests - {pr-job}"
    workspace: "/dev/shm/elastic+elasticsearch+pull-request+{pr-job}"
    scm:
      - git:
          refspec: "+refs/pull/${ghprbPullId}/*:refs/remotes/origin/pr/${ghprbPullId}/*"
          branches:
            - "${ghprbActualCommit}"
    triggers:

    This could have corrupted requests where multiple headers had the same name,
    as in cookies.
 *  Fix: Reject bad characters in the URL hostname. Previously characters like
    `\0` would cause a late crash when building the request.
 *  Fix: Allow interceptors to change the request method.
 *  Fix: Don’t use the request's `User-Agent` or `Proxy-Authorization` when