qrList.allRecordCount = 300; // 30 pages, current page 6
        qrList.calculatePageInfo();

        List<String> pageList = qrList.getPageNumberList();
        assertEquals(11, pageList.size()); // Pages 1-11 (page 6 ± 5)
        assertEquals("1", pageList.get(0));
        assertEquals("11", pageList.get(10));
    }

    public void test_equals_differentTypes() {

  }

  public void testSetInitialCapacity() {
    // share capacity over each segment, then round up to the nearest power of two

    checkInitialCapacity(1, 0, 1);
    checkInitialCapacity(1, 1, 1);
    checkInitialCapacity(1, 2, 2);
    checkInitialCapacity(1, 3, 4);
    checkInitialCapacity(1, 4, 4);
    checkInitialCapacity(1, 5, 8);
    checkInitialCapacity(1, 6, 8);
    checkInitialCapacity(1, 7, 8);

  }

  public void testSetInitialCapacity() {
    // share capacity over each segment, then round up to the nearest power of two

    checkInitialCapacity(1, 0, 1);
    checkInitialCapacity(1, 1, 1);
    checkInitialCapacity(1, 2, 2);
    checkInitialCapacity(1, 3, 4);
    checkInitialCapacity(1, 4, 4);
    checkInitialCapacity(1, 5, 8);
    checkInitialCapacity(1, 6, 8);
    checkInitialCapacity(1, 7, 8);

			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *BatchJobKeyRotateV1) Msgsize() (s int) {

우선 단일 **SQLModel** 모델을 사용하여 애플리케이션의 가장 간단한 첫 번째 버전을 생성해보겠습니다.

이후 **다중 모델**을 추가하여 보안과 유연성을 강화할 것입니다. 🤓

### 모델 생성하기

`SQLModel`을 가져오고 데이터베이스 모델을 생성합니다:

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[1:11] hl[7:11] *}

`Hero` 클래스는 Pydantic 모델과 매우 유사합니다 (실제로 내부적으로 *Pydantic 모델이기도 합니다*).

몇 가지 차이점이 있습니다:

  - DaemonSet pods now make use of scheduling features that require kubelets to be at 1.11 or above. Ensure all kubelets in the cluster are at 1.11 or above before upgrading kube-controller-manager to 1.13.

pkg debug/elf, const EM_ECOG1X Machine
pkg debug/elf, const EM_ECOG2 = 134
pkg debug/elf, const EM_ECOG2 Machine
pkg debug/elf, const EM_ETPU = 178
pkg debug/elf, const EM_ETPU Machine
pkg debug/elf, const EM_EXCESS = 111
pkg debug/elf, const EM_EXCESS Machine
pkg debug/elf, const EM_F2MC16 = 104
pkg debug/elf, const EM_F2MC16 Machine
pkg debug/elf, const EM_FIREPATH = 78
pkg debug/elf, const EM_FIREPATH Machine

"}.fa-chevron-right:before{content:"\f054"}.fa-chevron-up:before{content:"\f077"}.fa-child:before{content:"\f1ae"}.fa-chrome:before{content:"\f268"}.fa-chromecast:before{content:"\f838"}.fa-church:before{content:"\f51d"}.fa-circle:before{content:"\f111"}.fa-circle-notch:before{content:"\f1ce"}.fa-city:before{content:"\f64f"}.fa-clinic-medical:before{content:"\f7f2"}.fa-clipboard:before{content:"\f328"}.fa-clipboard-check:before{content:"\f46c"}.fa-clipboard-list:before{content:"\f46d"}.fa-clock:...

				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *CompletePart) Msgsize() (s int) {

如果你來自於其他不以這種方式運作的非同步框架，而且你習慣於使用普通的 `def` 定義僅進行簡單計算的*路徑操作函式*，目的是獲得微小的性能增益（大約 100 奈秒），請注意，在 FastAPI 中，效果會完全相反。在這些情況下，最好使用 `async def`除非你的*路徑操作函式*執行阻塞的 <abbr title="輸入/輸出：磁碟讀寫或網路通訊">I/O</abbr> 的程式碼。

不過，在這兩種情況下，**FastAPI** [仍然很快](index.md#_11){.internal-link target=_blank}至少與你之前的框架相當（或者更快）。

### 依賴項(Dependencies)

同樣適用於[依賴項](tutorial/dependencies/index.md){.internal-link target=_blank}。如果依賴項是一個標準的 `def` 函式，而不是 `async def`，那麼它在外部的執行緒池被運行。

### 子依賴項