from sqlmodel.main import default_registry

from tests.utils import needs_py310


def clear_sqlmodel():
    # Clear the tables in the metadata for the default base model
    SQLModel.metadata.clear()
    # Clear the Models associated with the registry, to avoid warnings
    default_registry.dispose()


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py39"),

@app.get("/sync/dict-no-response-model")
def sync_dict_no_response_model():
    return {"name": "foo", "value": 123}


@app.get("/sync/dict-with-response-model", response_model=ItemOut)
def sync_dict_with_response_model(
    dep: Annotated[int, Depends(dep_b)],
):
    return {"name": "foo", "value": 123, "dep": dep}


@app.get("/sync/model-no-response-model")

import static japicmp.model.JApiCompatibilityChangeType.METHOD_ADDED_TO_INTERFACE;
import static japicmp.model.JApiCompatibilityChangeType.METHOD_ADDED_TO_PUBLIC_CLASS;
import static japicmp.model.JApiCompatibilityChangeType.METHOD_NEW_DEFAULT;
import static japicmp.model.JApiCompatibilityChangeType.METHOD_REMOVED;
import static japicmp.model.JApiCompatibilityChangeType.METHOD_RETURN_TYPE_CHANGED;

     *
     * @see org.apache.maven.model.building.ModelSource2
     */
    ProjectBuildingResult build(ModelSource modelSource, ProjectBuildingRequest request)
            throws ProjectBuildingException;

    /**
     * Builds a project descriptor for the specified model source.
     *
     * @param modelSource The source of the model to build the project descriptor from, must not be {@code null}.

* Execution model
* Metadata model
* Metadata tooling
 ** Metadata extractor
 ** Metadata reader
 ** Metadata writer
 ** Metadata adapter (if required for the target system)
* Maven packaging and lifecycle
* Maven test harness for plugin execution model
* Eclipse IDE tooling for plugin execution model and metadata model

- we also seem to have information like the plugin lifecycle model that's buried inside the maven execution model

import common.setArtifactRules
import jetbrains.buildServer.configs.kotlin.ParameterDisplay
import jetbrains.buildServer.configs.kotlin.ReuseBuilds
import model.CIBuildModel
import model.PerformanceTestType
import projects.PerformanceTestProject

class PerformanceTestsPass(
    model: CIBuildModel,
    performanceTestProject: PerformanceTestProject,
) : OsAwareBaseGradleBuildType(
        os = performanceTestProject.spec.os,

import common.applyDefaultSettings
import model.CIBuildModel
import model.TestCoverage
import projects.FunctionalTestProject

class FunctionalTestsPass(
    model: CIBuildModel,
    functionalTestProject: FunctionalTestProject,
) : OsAwareBaseGradleBuildType(os = functionalTestProject.testCoverage.os, init = {
        id("${functionalTestProject.testCoverage.asId(model)}_Trigger")

     * @param model The model to serialize, must not be {@code null}.
     * @throws IOException If the model could not be serialized.
     */
    void write(Writer output, Map<String, Object> options, Model model) throws IOException;

    /**
     * Writes the supplied model to the specified byte stream. The stream will be automatically closed before the method
     * returns.
     *

        Objects.requireNonNull(model, "model cannot be null");

        output.getParentFile().mkdirs();

        write(WriterFactory.newXmlWriter(output), options, model);
    }

    @Override
    public void write(Writer output, Map<String, Object> options, Model model) throws IOException {
        Objects.requireNonNull(output, "output cannot be null");
        Objects.requireNonNull(model, "model cannot be null");

import jetbrains.buildServer.configs.kotlin.Project
import model.CIBuildModel
import model.FunctionalTestBucketProvider
import model.Stage
import model.TestCoverage

const val DEFAULT_FUNCTIONAL_TEST_BUCKET_SIZE = 50
const val DEFAULT_LINUX_FUNCTIONAL_TEST_BUCKET_SIZE = 20
const val DEFAULT_MACOS_FUNCTIONAL_TEST_BUCKET_SIZE = 20

class FunctionalTestProject(
    val model: CIBuildModel,