}
    }

    /**
     * Processes member-of information from Microsoft Graph API.
     * @param user The Entra ID user.
     * @param groupList The list to add group names to.
     * @param roleList The list to add role names to.
     * @param url The Microsoft Graph API URL.
     */

    "groups" : [ {
      "testProject" : "excludeRuleMergingBuild",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
    "groups" : [ {

### Pydantic v1 y v2 en la misma app { #pydantic-v1-and-v2-on-the-same-app }

No está soportado por Pydantic tener un modelo de Pydantic v2 con sus propios campos definidos como modelos de Pydantic v1 o viceversa.

```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]
            V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]

 * resolving the version} and then downloading the file.</p>
 *
 * <p><dfn>Dependency collection</dfn> builds a graph of {@link org.apache.maven.api.Node} objects containing
 * all the dependencies.</p>
 *
 * <p>The <dfn>Dependency graph flattening</dfn> process in Maven reduces a complex,
 * multi-level dependency graph to a map of ordered lists that can be turned into classpaths.

* list (as in Python list): list
* context manager: context manager (do not translate to "gestor de contexto" or "administrador de contexto")
* a little bit: un poquito
* graph (data structure, as in "dependency graph"): grafo (do not translate to "gráfico")
* form data: form data (do not translate to "datos de formulario" or "datos de form")
* import (as in code import): import (do not translate to "importación")

### Pydantic v1 and v2 on the same app { #pydantic-v1-and-v2-on-the-same-app }

It's **not supported** by Pydantic to have a model of Pydantic v2 with its own fields defined as Pydantic v1 models or vice versa.

```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]
            V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]

Es wird von Pydantic **nicht unterstützt**, dass ein Pydantic‑v2‑Modell Felder hat, die als Pydantic‑v1‑Modelle definiert sind, und umgekehrt.

```mermaid
graph TB
    subgraph "❌ Nicht unterstützt"
        direction TB
        subgraph V2["Pydantic-v2-Modell"]
            V1Field["Pydantic-v1-Modell"]
        end
        subgraph V1["Pydantic-v1-Modell"]

  "durations" : [ {
    "testProject" : "excludeRuleMergingBuild",
    "linux" : 233
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
  "durations" : [ {

    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "graph-isolation",
    "path": "platforms/core-configuration/graph-isolation",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "graph-serialization",
    "path": "platforms/core-configuration/graph-serialization",
    "unitTests": false,
    "functionalTests": false,

Но **FastAPI** будет знать, что сначала он должен выполнить `query_extractor`, чтобы передать результаты этого в `query_or_cookie_extractor` при его вызове.

///

```mermaid
graph TB

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

read_query["/items/"]

query_extractor --> query_or_cookie_extractor --> read_query
```