Ordering<Number> numbers = Ordering.explicit((Number) 1);
    Ordering<Integer> integers = Ordering.explicit(1);

    // Like by like equals like
    Ordering<Number> unusedA = numbers.compound(numbers);

    // The compound takes the more specific type of the two, regardless of order

    Ordering<Number> unusedB = numbers.compound(objects);
    Ordering<Number> unusedC = objects.compound(numbers);

   * provides more control over the underlying data structure.
   *
   * @param expectedKeys the expected number of distinct keys
   * @param expectedValuesPerKey the expected average number of values per key
   * @throws IllegalArgumentException if {@code expectedKeys} or {@code expectedValuesPerKey} is
   *     negative
   */

                        ),
                        "price": {"title": "Price", "type": "number"},
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        | IsDict(

                        ),
                        "price": {"title": "Price", "type": "number"},
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        | IsDict(

                    "parameters": [
                        {
                            "required": True,
                            "schema": {"title": "Item Id", "type": "number"},
                            "name": "item_id",
                            "in": "path",
                        }
                    ],
                }
            },

                        ),
                        "price": {"title": "Price", "type": "number"},
                        "tax": IsDict(
                            {
                                "title": "Tax",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        | IsDict(

	}

	var users3 []User
	DB.Joins("inner join pets on pets.user_id = users.id AND pets.name = ?", user.Pets[0].Name).Joins("join accounts on accounts.user_id = users.id AND accounts.number = ?", user.Account.Number).Where("users.name = ?", user.Name).First(&users3)
	if len(users3) != 1 {
		t.Errorf("should find one users using multiple left join conditions, but got %v", len(users3))
	}

	var users4 []User

                        "name": {"type": "string", "title": "Name"},
                        "description": {"type": "string", "title": "Description"},
                        "price": {"type": "number", "title": "Price"},
                        "tax": {"type": "number", "title": "Tax"},
                    },
                    "type": "object",
                    "required": ["name", "price"],
                    "title": "Item",

NOTE:

- `timeToFirstByte` and `timeToResponse` will be expressed in Nanoseconds.
- Additionally in the case of the erasure coded setup `tags.objectLocation` provides per object details about
  - Pool number the object operation was performed on.
  - Set number the object operation was performed on.
  - The list of drives participating in this operation belong to the set.

```json
{
  "version": "1",

    return new LinkedHashMultiset<>();
  }

  /**
   * Creates a new, empty {@code LinkedHashMultiset} with the specified expected number of distinct
   * elements.
   *
   * @param distinctElements the expected number of distinct elements
   * @throws IllegalArgumentException if {@code distinctElements} is negative
   */