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docs/en/docs/advanced/sub-applications.md
### Top-level application First, create the main, top-level, **FastAPI** application, and its *path operations*: ```Python hl_lines="3 6-8" {!../../../docs_src/sub_applications/tutorial001.py!} ``` ### Sub-application Then, create your sub-application, and its *path operations*. This sub-application is just another standard FastAPI application, but this is the one that will be "mounted":
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docs/en/docs/how-to/async-sql-encode-databases.md
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docs/en/docs/tutorial/metadata.md
## Docs URLs You can configure the two documentation user interfaces included: * **Swagger UI**: served at `/docs`. * You can set its URL with the parameter `docs_url`. * You can disable it by setting `docs_url=None`. * **ReDoc**: served at `/redoc`. * You can set its URL with the parameter `redoc_url`. * You can disable it by setting `redoc_url=None`.
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docs/en/docs/tutorial/bigger-applications.md
* and in there, find the module `dependencies` (the file at `app/dependencies.py`)... * and from it, import the function `get_token_header`. That would refer to some package above `app/`, with its own file `__init__.py`, etc. But we don't have that. So, that would throw an error in our example. 🚨 But now you know how it works, so you can use relative imports in your own apps no matter how complex they are. 🤓
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docs/en/docs/how-to/nosql-databases-couchbase.md
It will take the `dict` at `result.value`, and take each of its keys and values and pass them as key-values to `UserInDB` as keyword arguments. So, if the `dict` contains: ```Python { "username": "johndoe", "hashed_password": "some_hash", } ```
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docs/en/docs/python-types.md
{!> ../../../docs_src/python_types/tutorial007.py!} ``` This means: * The variable `items_t` is a `tuple` with 3 items, an `int`, another `int`, and a `str`. * The variable `items_s` is a `set`, and each of its items is of type `bytes`. #### Dict To define a `dict`, you pass 2 type parameters, separated by commas. The first type parameter is for the keys of the `dict`.
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docs/en/docs/tutorial/body-multiple-params.md
## Embed a single body parameter Let's say you only have a single `item` body parameter from a Pydantic model `Item`. By default, **FastAPI** will then expect its body directly. But if you want it to expect a JSON with a key `item` and inside of it the model contents, as it does when you declare extra body parameters, you can use the special `Body` parameter `embed`: ```Python
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docs/en/docs/deployment/concepts.md
And multiple processes normally **don't share any memory**. This means that each running process has its own things, variables, and memory. And if you are consuming a large amount of memory in your code, **each process** will consume an equivalent amount of memory. ### Server Memory
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docs/en/docs/release-notes.md
Additionally, a background task is normally an independent set of logic that should be handled separately, with its own resources (e.g. its own database connection).
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docs/en/docs/tutorial/dependencies/dependencies-with-yield.md
``` And all of them can use `yield`. In this case `dependency_c`, to execute its exit code, needs the value from `dependency_b` (here named `dep_b`) to still be available. And, in turn, `dependency_b` needs the value from `dependency_a` (here named `dep_a`) to be available for its exit code. === "Python 3.9+" ```Python hl_lines="18-19 26-27"
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