- github.com/docker/docker: [v20.10.2+incompatible → v20.10.7+incompatible](https://github.com/docker/docker/compare/v20.10.2...v20.10.7)
- github.com/envoyproxy/go-control-plane: [668b12f → 63b5d3c](https://github.com/envoyproxy/go-control-plane/compare/668b12f...63b5d3c)
- github.com/evanphx/json-patch: [v4.11.0+incompatible → v4.12.0+incompatible](https://github.com/evanphx/json-patch/compare/v4.11.0...v4.12.0)

- github.com/docker/distribution: [v2.8.1+incompatible → v2.8.2+incompatible](https://github.com/docker/distribution/compare/v2.8.1...v2.8.2)
- github.com/docker/docker: [v20.10.21+incompatible → v20.10.24+incompatible](https://github.com/docker/docker/compare/v20.10.21...v20.10.24)

_Nothing has changed._

### Changed
- github.com/coredns/corefile-migration: [v1.0.21 → v1.0.24](https://github.com/coredns/corefile-migration/compare/v1.0.21...v1.0.24)
- github.com/coreos/etcd: [v3.3.13+incompatible → v3.3.10+incompatible](https://github.com/coreos/etcd/compare/v3.3.13...v3.3.10)
- github.com/magiconair/properties: [v1.8.1 → v1.8.0](https://github.com/magiconair/properties/compare/v1.8.1...v1.8.0)

   */
  @SuppressWarnings({
    "rawtypes", // https://github.com/google/guava/issues/989
    "NonApiType", // acts as a direct substitute for a constructor call
  })
  public static <E extends Comparable> TreeSet<E> newTreeSet() {
    return new TreeSet<>();
  }

  /**
   * Creates a <i>mutable</i> {@code TreeSet} instance containing the given elements sorted by their
   * natural ordering.
   *

An interesting detail is that the percentage of the **CPU used** by each process can **vary** a lot over time, but the **memory (RAM)** normally stays more or less **stable**.

If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).

- github.com/cyphar/filepath-securejoin: [v0.4.1 → v0.6.0](https://github.com/cyphar/filepath-securejoin/compare/v0.4.1...v0.6.0)
- github.com/docker/docker: [v26.1.4+incompatible → v28.2.2+incompatible](https://github.com/docker/docker/compare/v26.1.4...v28.2.2)
- github.com/go-logr/logr: [v1.4.2 → v1.4.3](https://github.com/go-logr/logr/compare/v1.4.2...v1.4.3)

}

// RoundTripper provides an interface for type roundtrip serialization.
type RoundTripper interface {
	msgp.Unmarshaler
	msgp.Marshaler
	msgp.Sizer

	comparable
}

// SingleHandler is a type safe handler for single roundtrip requests.
type SingleHandler[Req, Resp RoundTripper] struct {
	id            HandlerID
	sharedResp    bool
	callReuseReq  bool

///

Now, imagine that with **many** other **packages** that all your **projects depend on**. That's very difficult to manage. And you would probably end up running some projects with some **incompatible versions** of the packages, and not knowing why something isn't working.

Pydantic is a library to define data validation, serialization and documentation (using JSON Schema) based on Python type hints.

That makes it extremely intuitive.

It is comparable to Marshmallow. Although it's faster than Marshmallow in benchmarks. And as it is based on the same Python type hints, the editor support is great.

/// check | **FastAPI** uses it to

Un detalle interesante es que el porcentaje de **CPU utilizado** por cada proceso puede **variar** mucho con el tiempo, pero la **memoria (RAM)** normalmente permanece más o menos **estable**.

Si tienes una API que hace una cantidad comparable de cálculos cada vez y tienes muchos clientes, entonces la **utilización de CPU** probablemente *también sea estable* (en lugar de constantemente subir y bajar rápidamente).