1)  Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.

 -----

Maven 4 API - Immutable Toolchains Model

 This is strictly the immutable model for Maven toolchains in <<<org.apache.maven.api.toolchain>>> package.

 The following are generated from this model:

   * {{{./apidocs/index.html}Java sources}} with <<<Builder>>> inner classes for immutable instances creation.

 See also corresponding {{{../../compat/maven-toolchain-model/index.html}Maven classical toolchains model documentation}}.

        Model model = Model.newBuilder()
                .groupId("group")
                .location("groupId", InputLocation.of(InputSource.of("model", null)))
                .build();
        StringSearchModelInterpolator interpolator = new StringSearchModelInterpolator();
        interpolator.initialize();
        interpolator.interpolate(new org.apache.maven.model.Model(model), Map.of());
    }

	}

	if DB.Unscoped().Model(&person).Association("Addresses").Count() != 2 {
		t.Fatalf("Should found soft deleted addresses with unscoped")
	}

	DB.Model(&person).Association("Addresses").Clear()

	if DB.Model(&person).Association("Addresses").Count() != 0 {
		t.Fatalf("Should deleted all addresses")
	}

	if DB.Unscoped().Model(&person).Association("Addresses").Count() != 2 {

import org.apache.maven.model.Activation;
import org.apache.maven.model.Build;
import org.apache.maven.model.Dependency;
import org.apache.maven.model.DependencyManagement;
import org.apache.maven.model.InputLocation;
import org.apache.maven.model.InputLocationTracker;
import org.apache.maven.model.InputSource;
import org.apache.maven.model.Model;
import org.apache.maven.model.Parent;
import org.apache.maven.model.Plugin;

    return {"p": p}


class QueryModelOptionalStr(BaseModel):
    p: str | None = None


@app.get("/model-optional-str")
async def read_model_optional_str(p: Annotated[QueryModelOptionalStr, Query()]):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],
)
def test_optional_str_schema(path: str):

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"]
            V2Field["Pydantic v2 Model"]
        end
    end

    return {"p": p}


class BodyModelOptionalStr(BaseModel):
    p: str | None = None


@app.post("/model-optional-str", operation_id="model_optional_str")
async def read_model_optional_str(p: BodyModelOptionalStr):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],
)
def test_optional_str_schema(path: str):
    openapi = app.openapi()

 -----

Maven 4 API - Immutable Maven Model

 This is strictly the immutable model for Maven POM (Project Object Model), so really just plain objects in <<<org.apache.maven.api.model>>> package.

 The following are generated from this model:

   * {{{./apidocs/index.html}Java sources}} with <<<Builder>>> inner classes for immutable instances creation.

class FormModelOptionalListStr(BaseModel):
    p: list[str] | None = None


@app.post("/model-optional-list-str", operation_id="model_optional_list_str")
async def read_model_optional_list_str(p: Annotated[FormModelOptionalListStr, Form()]):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    ["/optional-list-str", "/model-optional-list-str"],
)
def test_optional_list_str_schema(path: str):
    openapi = app.openapi()