from enum import Enum

from fastapi import FastAPI


class ModelName(str, Enum):
    alexnet = "alexnet"
    resnet = "resnet"
    lenet = "lenet"


app = FastAPI()


@app.get("/models/{model_name}")
async def get_model(model_name: ModelName):
    if model_name is ModelName.alexnet:
        return {"model_name": model_name, "message": "Deep Learning FTW!"}

    if model_name.value == "lenet":

    assert response.json() == {"model_name": "lenet", "message": "LeCNN all the images"}


def test_get_enums_resnet():
    response = client.get("/models/resnet")
    assert response.status_code == 200
    assert response.json() == {"model_name": "resnet", "message": "Have some residuals"}


def test_get_enums_invalid():
    response = client.get("/models/foo")
    assert response.status_code == 422

/// info | 정보

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">열거형(또는 enums)</a>은 파이썬 버전 3.4 이후로 사용 가능합니다.

///

/// tip | 팁

혹시 궁금하다면, "AlexNet", "ResNet", 그리고 "LeNet"은 그저 기계 학습 <abbr title="기술적으로 정확히는 딥 러닝 모델 구조">모델</abbr>들의 이름입니다.

///

### *경로 매개변수* 선언

생성한 열거형 클래스(`ModelName`)를 사용하는 타입 어노테이션으로 *경로 매개변수*를 만듭니다:

Then create class attributes with fixed values, which will be the available valid values:

{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *}

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

/// info | 说明

Python 3.4 及之后版本支持<a href="https://docs.python.org/zh-cn/3/library/enum.html" class="external-link" target="_blank">枚举（即 enums）</a>。

///

/// tip | 提示

**AlexNet**、**ResNet**、**LeNet** 是机器学习<abbr title="技术上来说是深度学习模型架构">模型</abbr>。

///

### 声明*路径参数*

使用 Enum 类（`ModelName`）创建使用类型注解的*路径参数*：

{* ../../docs_src/path_params/tutorial005.py hl[16] *}

### 查看文档

    assertEquals("9.999 \u03bcs", stopwatch.toString());
    stopwatch.reset();
    stopwatch.start();
    ticker.advance(1234567);
    assertEquals("1.235 ms", stopwatch.toString());
    stopwatch.reset();
    stopwatch.start();
    ticker.advance(5000000000L);
    assertEquals("5.000 s", stopwatch.toString());
    stopwatch.reset();
    stopwatch.start();
    ticker.advance((long) (1.5 * 60 * 1000000000L));

        NdrHyper hyper = new NdrHyper(original);
        // Create buffer with extra space for alignment
        NdrBuffer buf = new NdrBuffer(new byte[16], 0);
        hyper.encode(buf);
        // Reset buffer position for decoding
        buf.reset();
        NdrHyper decoded = new NdrHyper(0);
        decoded.decode(buf);
        assertEquals(original, decoded.value, "Decoded value should match encoded value");
    }

    /**

      }
    }
    out.close();

    // Check that source returns the right data
    assertThat(source.read()).isEqualTo(data);

    // Make sure that reset deleted the file
    out.reset();
    if (file != null) {
      assertFalse(file.exists());
    }
  }


  public void testThreshold_resetOnFinalize() throws Exception {
    testThreshold(0, 100, true, true);

    @Test
    @DisplayName("Test reset() method resets transaction state")
    void testReset() {
        // Modify state
        transaction.nextElement();

        // Reset
        transaction.reset();

        // Verify state is reset
        assertTrue(transaction.hasMoreElements(), "hasMoreElements should be true after reset");
    }

    @Test
    @DisplayName("Test reset(int, String) method")

        assertEquals(0, netServerEnum2.setupCount);
        assertEquals(5000, netServerEnum2.timeout);
    }

    /**
     * Test the reset method.
     */
    @Test
    void testReset() {
        String lastName = "LAST_NAME";
        netServerEnum2.reset(0, lastName);
        assertEquals(lastName, netServerEnum2.lastName);
    }

    /**
     * Test the writeSetupWireFormat method.
     */
    @Test