err = errors.New("entity too large")
		return
	}

	configuredPartSize := minPartSize
	// Use floats for part size for all calculations to avoid
	// overflows during float64 to int64 conversions.
	partSizeFlt := float64(objectSize / maxPartsCount)
	partSizeFlt = math.Ceil(partSizeFlt/float64(configuredPartSize)) * float64(configuredPartSize)

	// Part size.
	partSize = int64(partSizeFlt)
	if partSize == 0 {

pkg go/ast, func NewPackage //deprecated #52463
pkg go/ast, type File struct, GoVersion string #59033
pkg go/ast, type Importer //deprecated #52463
pkg go/ast, type Object //deprecated #52463
pkg go/ast, type Package //deprecated #52463
pkg go/ast, type Scope //deprecated #52463
pkg go/build/constraint, func GoVersion(Expr) string #59033
pkg go/build, type Directive struct #56986

Prefiere usar la versión `Annotated` si es posible.

///

```Python
commons: CommonQueryParams ...
```

////

...no tiene ningún significado especial para **FastAPI**. **FastAPI** no lo usará para la conversión de datos, validación, etc. (ya que está usando `Depends(CommonQueryParams)` para eso).

De hecho, podrías escribir simplemente:

//// tab | Python 3.8+

```Python

* <abbr title="also known as: serialization, parsing, marshalling">Conversion</abbr> of input data: coming from the network to Python data and types. Reading from:
    * JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Forms.
    * Files.

Prefer to use the `Annotated` version if possible.

///

```Python
commons: CommonQueryParams ...
```

////

...doesn't have any special meaning for **FastAPI**. FastAPI won't use it for data conversion, validation, etc. (as it is using the `Depends(CommonQueryParams)` for that).

You could actually write just:

//// tab | Python 3.8+

```Python
commons: Annotated[Any, Depends(CommonQueryParams)]
```

That means that any value read in Python from an environment variable will be a `str`, and any conversion to a different type or any validation has to be done in code.

## Pydantic `Settings` { #pydantic-settings }

/tests/tf_to_tfrt_data,tensorflow/compiler/mlir/tfrt/tests/saved_model,tensorflow/compiler/mlir/tfrt/transforms/lhlo_gpu_to_tfrt_gpu,tensorflow/compiler/mlir/tfrt/transforms/mlrt,tensorflow/core/runtime_fallback,tensorflow/core/runtime_fallback/conversion,tensorflow/core/runtime_fallback/kernel,tensorflow/core/runtime_fallback/opdefs,tensorflow/core/runtime_fallback/runtime,tensorflow/core/runtime_fallback/util,tensorflow/core/runtime_fallback/test,tensorflow/core/runtime_fallback/test/gpu,tenso...

Eso significa que cualquier valor leído en Python desde una variable de entorno será un `str`, y cualquier conversión a un tipo diferente o cualquier validación tiene que hacerse en código.

## Pydantic `Settings`

We could do better.

We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).

All the data conversion, validation, documentation, etc. will still work as normally.

That way, we can declare just the differences between the models (with plaintext `password`, with `hashed_password` and without password):

### <a href="https://marshmallow.readthedocs.io/en/3.0/" class="external-link" target="_blank">Marshmallow</a>

L'une des principales fonctionnalités nécessaires aux systèmes API est la "<abbr title="également appelée
marshalling, conversion">sérialisation</abbr>" des données, qui consiste à prendre les données du code (Python) et à
les convertir en quelque chose qui peut être envoyé sur le réseau. Par exemple, convertir un objet contenant des