Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.

The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

package tests_test

import (
	"context"
	"testing"

	"gorm.io/gorm"
	"gorm.io/gorm/clause"
	. "gorm.io/gorm/utils/tests"
)

// BelongsToCompany and BelongsToUser models for belongs to tests - using existing User and Company models

// Test Set + Create with Association OpCreate operation using real database
func TestClauseAssociationSetCreateWithOpCreate(t *testing.T) {
	ctx := context.Background()

 ╭────────── FastAPI CLI - Development mode ───────────╮
 │                                                     │
 │  Serving at: http://127.0.0.1:8000                  │
 │                                                     │
 │  API docs: http://127.0.0.1:8000/docs               │
 │                                                     │
 │  Running in development mode, for production use:   │

Das wollen wir besser machen: Laden wir das Modell, bevor die Requests bearbeitet werden, aber unmittelbar bevor die Anwendung beginnt, Requests zu empfangen, und nicht, während der Code geladen wird.

## Resources

*   [TensorFlow.org](https://www.tensorflow.org)
*   [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
*   [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official)
*   [TensorFlow Examples](https://github.com/tensorflow/examples)
*   [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)

	"encoding/xml"
	"io"
	"os"
	"strings"

	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio/internal/logger"
)

// From Veeam-SOSAPI_1.0_Document_v1.02d.pdf
// - SOSAPI Protocol Version
// - Model Name of the vendor plus version for statistical analysis.
// - List of Smart Object Storage protocol capabilities supported by the server.
// Currently, there are three capabilities supported:
//   - Capacity Reporting

              <!--              <exclude>org.apache.maven.model.inheritance.DefaultInheritanceAssembler</exclude>-->

    public Model getModel() {
        return model;
    }

    /**
     * Sets the model being wrapped.
     *
     * @param model The model, may be {@code null}.
     */
    public void setModel(Model model) {
        this.model = model;
    }

    /**
     * Gets the raw model being wrapped.
     *
     * @return The raw model or {@code null} if not set.
     */
    public Model getRawModel() {

/// info

Note that the `TestClient` receives data that can be converted to JSON, not Pydantic models.

If you have a Pydantic model in your test and you want to send its data to the application during testing, you can use the `jsonable_encoder` described in [JSON Compatible Encoder](encoder.md){.internal-link target=_blank}.

///

    /**
     * Gets the file model.
     *
     * @return the file model, never {@code null}.
     */
    @Nonnull
    Model getFileModel();

    /**
     * Gets the file model + build pom transformation, without inheritance nor interpolation.
     *
     * @return The raw model, never {@code null}.
     */
    @Nonnull
    Model getRawModel();

    /**
     * Gets the effective model of the parent POM.
     *