}
	AssertAssociationCount(t, user2, "Pets", 1, "after delete non-existing data")

	if err := DB.Model(&user2).Association("Pets").Delete(&pet2); err != nil {
		t.Fatalf("Error happened when delete Pets, got %v", err)
	}
	AssertAssociationCount(t, user2, "Pets", 0, "after delete")

	// Prepare Data for Clear
	if err := DB.Model(&user2).Association("Pets").Append(&pet); err != nil {

	if product.Price != 150 || product.Code != "L1212" {
		t.Errorf("invalid data after update, got %+v", product)
	}

	// Code not changed, price should not change
	DB.Model(&product).Updates(map[string]interface{}{"Name": "Product New"})

	if product.Name != "Product New" || product.Price != 160 || product.Code != "L1212" {
		t.Errorf("invalid data after update, got %+v", product)
	}

	if err := b.parseAllConfigs(ctx, api); err != nil {
		return err
	}

	data := make([]byte, 4, b.Msgsize()+4)

	// Initialize the header.
	binary.LittleEndian.PutUint16(data[0:2], bucketMetadataFormat)
	binary.LittleEndian.PutUint16(data[2:4], bucketMetadataVersion)

	// Marshal the bucket metadata
	data, err := b.MarshalMsg(data)
	if err != nil {
		return err
	}

Declare the **query parameters** that you need in a **Pydantic model**, and then declare the parameter as `Query`:

{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

**FastAPI** will **extract** the data for **each field** from the **query parameters** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the query parameters in the docs UI at `/docs`:

            return null;
        })).status(Status.OK).result());
    }

    /**
     * Creates a new related query setting.
     *
     * @param body the related query configuration data to create
     * @return JSON response containing the created related query ID and status
     */
    // POST /api/admin/relatedquery/setting
    @Execute

   *
   * <p>You may also consider the equivalent {@code
   * MultimapBuilder.hashKeys().arrayListValues().build()}, which provides more control over the
   * underlying data structure.
   */
  public static <K extends @Nullable Object, V extends @Nullable Object>
      ArrayListMultimap<K, V> create() {
    return new ArrayListMultimap<>();
  }

  /**

     * @param fileId
     *            the file ID to read from
     * @param outputBuffer
     *            the buffer to read data into
     * @param outputBufferOffset
     *            the offset in the output buffer to start writing data
     */
    public Smb2ReadRequest(final Configuration config, final byte[] fileId, final byte[] outputBuffer, final int outputBufferOffset) {

When using Veeam Backup and Replication, you can use S3 compatible object storage such as MinIO as a capacity tier for backups.  This disaggregates storage for the Veeam infrastructure and allows you to retain control of your data. With the ease of use of setup and administration of MinIO, it allows a Veeam backup admin to easily deploy their own object store for capacity tiering.

## Prerequisites

		t.Fatalf("Expected GetObject reading data to succeed, but failed with %v", err)
	}
	gr.Close()

	const expectedHash = "fffb6377948ebea75ad2b8058e849ef5"
	foundHash := fmt.Sprintf("%x", h.Sum(nil))
	if foundHash != expectedHash {
		t.Fatalf("Expected data to have md5sum = `%s`, found `%s`", expectedHash, foundHash)
	}
}

// Test reading an object with some outdated data in some disks

	"github.com/klauspost/reedsolomon"
)

// getDataBlockLen - get length of data blocks from encoded blocks.
func getDataBlockLen(enBlocks [][]byte, dataBlocks int) int {
	size := 0
	// Figure out the data block length.
	for _, block := range enBlocks[:dataBlocks] {
		size += len(block)
	}
	return size
}

// Writes all the data blocks from encoded blocks until requested