return func


@dataclass
class Dependant:
    path_params: list[ModelField] = field(default_factory=list)
    query_params: list[ModelField] = field(default_factory=list)
    header_params: list[ModelField] = field(default_factory=list)
    cookie_params: list[ModelField] = field(default_factory=list)
    body_params: list[ModelField] = field(default_factory=list)
    dependencies: list["Dependant"] = field(default_factory=list)

#**##foreach ( $license in $project.licenses )
#*  *##set ( $groupId = $project.artifact.groupId )
#*  *##set ( $directory = 'lib' )
#*  *##if ( !$apacheMavenGroupIds.contains( $groupId ) )
#*    *### advertise about each non-Maven dependency
#*    *###
#*    *### infer SPDX license id
#*    *##if ( $MITLicenseNames.contains( $license.name ) )
#*      *##set ( $spdx = 'MIT' )
#*    *##elseif ( $license.name == "Eclipse Public License, Version 1.0" )

from pydantic import BaseModel

app = FastAPI()

client = TestClient(app)


class Item(BaseModel):
    data: str


def duplicate_dependency(item: Item):
    return item


def dependency(item2: Item):
    return item2


def sub_duplicate_dependency(
    item: Item, sub_item: Item = Depends(duplicate_dependency)
):
    return [item, sub_item]


@app.post("/with-duplicates")

                String artifactId,
                String version,
                String scope,
                String systemPath,
                Exclusion exclusion) {
            Dependency d = new Dependency();
            d.setGroupId(groupId);
            d.setArtifactId(artifactId);
            d.setVersion(version);
            d.setScope(scope);

     */
    public RelatedQueryHelper() {
        super();
    }

    /**
     * Initializes the RelatedQueryHelper after dependency injection is complete.
     * This method is called automatically by the dependency injection framework
     * and loads the initial related query configurations.
     */
    @PostConstruct
    public void init() {
        if (logger.isDebugEnabled()) {

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

    O SQLModel saberá que algo declarado como `str` será uma coluna SQL do tipo `TEXT` (ou `VARCHAR`, dependendo do banco de dados).

### Criar um Engine { #create-an-engine }
Um `engine` SQLModel (por baixo dos panos, ele é na verdade um `engine` do SQLAlchemy) é o que **mantém as conexões** com o banco de dados.

<project>
  <modelVersion>4.0.0</modelVersion>

  <parent>
    <groupId>lifecycle-participant-reactor-dependency-injection</groupId>
    <artifactId>parent</artifactId>
    <version>1.0</version>
  </parent>

  <artifactId>module-b</artifactId>

        with:
          python-version: ${{ matrix.python-version }}
      - name: Setup uv
        uses: astral-sh/setup-uv@v7
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-tests.txt
      - run: mkdir coverage
      - name: Test

    /**
     * How the test project is set up:
     *
     * 1. dependencyManagement lists dependencies on a & b,
     *    with an exclusion on c in b.
     * 2. the child project lists a dependency on project a only
     * 3. a depends on b (which is transitive to the child project),
     *    and b depends on c.
     *
     * We should see that the resulting size of collected artifacts is two:
     * a & b only.