):
    return [item, sub_item]


@app.post("/with-duplicates")
async def with_duplicates(item: Item, item2: Item = Depends(duplicate_dependency)):
    return [item, item2]


@app.post("/no-duplicates")
async def no_duplicates(item: Item, item2: Item = Depends(dependency)):
    return [item, item2]


@app.post("/with-duplicates-sub")
async def no_duplicates_sub(

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.

And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

And it will be annotated / documented accordingly too.

## Nested Models { #nested-models }

Each attribute of a Pydantic model has a type.

 * During this process only the most relevant version of each artifact
 * (based on group ID and artifact ID) is retained, resolving conflicts and eliminating duplicates to ensure
 * that each dependency is included only once in the final build.</p>
 *
 * <p><dfn>Dependency resolution</dfn> is the process of collecting dependencies, flattening the result graph,

        try (FileReader reader = new FileReader(file)) {
            List<UpgradedProperty> upgradedProperties = new Gson().fromJson(reader, new TypeToken<List<UpgradedProperty>>() {}.getType());
            // FIXME There should be no duplicates, yet there are some
            return upgradedProperties.stream()
                .distinct()
                .collect(ImmutableList.toImmutableList());
        } catch (IOException e) {

### Preprocess the OpenAPI Specification for the Client Generator { #preprocess-the-openapi-specification-for-the-client-generator }

The generated code still has some **duplicated information**.

We already know that this method is related to the **items** because that word is in the `ItemsService` (taken from the tag), but we still have the tag name prefixed in the method name too. 😕

    * The minimum version of Pydantic installed is now `pydantic >=2.7.0`.
    * The `standard` dependencies now include `pydantic-settings >=2.0.0` and `pydantic-extra-types >=2.0.0`.

### Docs

* 📝 Fix duplicated variable in `docs_src/python_types/tutorial005_py39.py`. PR [#14565](https://github.com/fastapi/fastapi/pull/14565) by [@paras-verma7454](https://github.com/paras-verma7454).

### Translations

"math/bits" ) // PrivateKey and PublicKey are not generic to make it possible to use them // in other types without instantiating them with a specific point type. // They are tied to one of the Curve types below through the curveID field. // All this is duplicated from crypto/internal/fips/ecdsa, but the standards are // different and FIPS 140 does not allow reusing keys across them. type PrivateKey struct { pub PublicKey d []byte // bigmod.(*Nat).Bytes output (fixed length) } func (priv *PrivateKey) Bytes()...