Der Parameter `lifespan` der `FastAPI`-App benötigt einen **asynchronen Kontextmanager**, wir können ihm also unseren neuen asynchronen Kontextmanager `lifespan` übergeben.

```Python hl_lines="22"
{!../../docs_src/events/tutorial003.py!}
```

## Alternative Events (deprecated)

/// warning | "Achtung"

	_ = x[ErrInvalidMaxKeys-17]
	_ = x[ErrInvalidEncodingMethod-18]
	_ = x[ErrInvalidMaxUploads-19]
	_ = x[ErrInvalidMaxParts-20]
	_ = x[ErrInvalidPartNumberMarker-21]
	_ = x[ErrInvalidPartNumber-22]
	_ = x[ErrInvalidRequestBody-23]
	_ = x[ErrInvalidCopySource-24]
	_ = x[ErrInvalidMetadataDirective-25]
	_ = x[ErrInvalidCopyDest-26]
	_ = x[ErrInvalidPolicyDocument-27]
	_ = x[ErrInvalidObjectState-28]

  memcpy(&product[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(7, product[0]);
  EXPECT_EQ(10, product[1]);
  EXPECT_EQ(15, product[2]);
  EXPECT_EQ(22, product[3]);
  TF_DeleteStatus(status);
}
TEST(CAPI, Executor_MatMul_CPU) { Executor_MatMul_CPU(false); }
TEST(CAPI, Executor_MatMul_CPUAsync) { Executor_MatMul_CPU(true); }

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//
// other integer conditional branch
//
//	LBRA rreg ',' rel
//	{
//		outcode(int($1), &$2, 0, &$4);
//	}
label3:
	BLTZ	R1, 1(PC)	// BLTZ R1, 1(PC)	// 04200001
	BLTZ	R1, label3	// BLTZ R1, 22		// 0420fffd

//
// floating point conditional branch
//
//	LBRA rel
label4:
	BFPT	1(PC)	// BFPT 1(PC)			// 4501000100000000
	BFPT	label4	// BFPT 24			// 4501fffd00000000

//inst:
//

// fitsInOctal reports whether the integer x fits in a field n-bytes long
// using octal encoding with the appropriate NUL terminator.
func fitsInOctal(n int, x int64) bool {
	octBits := uint(n-1) * 3
	return x >= 0 && (n >= 22 || x < 1<<octBits)
}

// parsePAXTime takes a string of the form %d.%d as described in the PAX
// specification. Note that this implementation allows for negative timestamps,

      append('"')
      for (i in 0 until key.length) {
        when (val ch = key[i]) {
          '\n' -> append("%0A")
          '\r' -> append("%0D")
          '"' -> append("%22")
          else -> append(ch)
        }
      }
      append('"')
    }
  }

		{0777, 4, true},
		{0777 + 1, 4, false},
		{0, 8, true},
		{07777777, 8, true},
		{07777777 + 1, 8, false},
		{0, 12, true},
		{077777777777, 12, true},
		{077777777777 + 1, 12, false},
		{math.MaxInt64, 22, true},
		{012345670123, 12, true},
		{01564164, 12, true},
		{-012345670123, 12, false},
		{-01564164, 12, false},
		{-1564164, 30, false},
	}

	for _, v := range vectors {

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

しかし、`item`と`user`のように複数のボディパラメータを宣言することもできます:

```Python hl_lines="22"
{!../../docs_src/body_multiple_params/tutorial002.py!}
```

この場合、**FastAPI**は関数内に複数のボディパラメータ（Pydanticモデルである２つのパラメータ）があることに気付きます。

そのため、パラメータ名をボディのキー（フィールド名）として使用し、以下のようなボディを期待しています:

```JSON
{
    "item": {

pkg debug/dwarf, const AttrDefaultValue = 30
pkg debug/dwarf, const AttrDescription = 90
pkg debug/dwarf, const AttrDiscr = 21
pkg debug/dwarf, const AttrDiscrList = 61
pkg debug/dwarf, const AttrDiscrValue = 22
pkg debug/dwarf, const AttrEncoding = 62
pkg debug/dwarf, const AttrEntrypc = 82
pkg debug/dwarf, const AttrExtension = 84
pkg debug/dwarf, const AttrExternal = 63
pkg debug/dwarf, const AttrFrameBase = 64