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docs/en/docs/async.md
This is "synchronous" work, you are "synchronized" with the cashier/cook 👨🍳. You have to wait 🕙 and be there at the exact moment that the cashier/cook 👨🍳 finishes the burgers and gives them to you, or otherwise, someone else might take them. <img src="/img/async/parallel-burgers/parallel-burgers-04.png" class="illustration">
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docs/ru/docs/async.md
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docs/metrics/prometheus/alerts.md
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docs/en/docs/advanced/async-tests.md
Let's look at how we can make that work. ## pytest.mark.anyio
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docs/en/docs/advanced/index.md
## External Courses Although the [Tutorial - User Guide](../tutorial/index.md){.internal-link target=_blank} and this **Advanced User Guide** are written as a guided tutorial (like a book) and should be enough for you to **learn FastAPI**, you might want to complement it with additional courses. Or it might be the case that you just prefer to take other courses because they adapt better to your learning style.
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README.md
* [Upcoming trainings](https://gradle.org/training/) * Ask on the [forum](https://discuss.gradle.org/) or [StackOverflow](https://stackoverflow.com/questions/tagged/gradle) * Have a look at the [Samples](https://docs.gradle.org/current/samples/index.html) * Checkout the [Community Resources](https://gradle.org/resources/) as well * Join our [Slack Channel](https://gradle.com/slack-invite) ## Contributing
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common-protos/k8s.io/apimachinery/pkg/runtime/generated.proto
// runtime.TypeMeta `json:",inline"` // MyPlugin runtime.RawExtension `json:"myPlugin"` // } // // type PluginA struct { // AOption string `json:"aOption"` // } // // // On the wire, the JSON will look something like this: // // { // "kind":"MyAPIObject", // "apiVersion":"v1", // "myPlugin": { // "kind":"PluginA", // "aOption":"foo", // }, // } //
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docs/en/docs/advanced/security/http-basic-auth.md
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docs/en/docs/advanced/custom-response.md
The same example from above, returning an `HTMLResponse`, could look like: ```Python hl_lines="2 7 19" {!../../../docs_src/custom_response/tutorial003.py!} ``` !!! warning
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CONTRIBUTING.md
start by trying one of the smaller/easier issues here i.e. [issues with the "good first issue" label](https://github.com/tensorflow/tensorflow/labels/good%20first%20issue) and then take a look at the [issues with the "contributions welcome" label](https://github.com/tensorflow/tensorflow/labels/stat%3Acontributions%20welcome). These are issues that we believe are particularly well suited for outside
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