"msg": "Input should be less than or equal to 100",
                    "input": "150",
                    "ctx": {"le": 100},
                },
                {
                    "type": "greater_than_equal",
                    "loc": ["query", "offset"],
                    "msg": "Input should be greater than or equal to 0",
                    "input": "-1",
                    "ctx": {"ge": 0},

			break
		}

		fallthrough
	default:
		builder.WriteString(" NOT IN (")
		builder.AddVar(builder, in.Values...)
		builder.WriteByte(')')
	}
}

// Eq equal to for where
type Eq struct {
	Column interface{}
	Value  interface{}
}

func (eq Eq) Build(builder Builder) {
	builder.WriteQuoted(eq.Column)

	switch eq.Value.(type) {

// Reader compares the etag with the computed
// MD5 sum once the r returns io.EOF.
func NewReader(ctx context.Context, r io.Reader, etag ETag, forceMD5 []byte) *Reader {
	if er, ok := r.(*Reader); ok {
		if er.readN == 0 && Equal(etag, er.checksum) {
			return er
		}
	}
	if len(forceMD5) != 0 {
		return &Reader{
			src:      r,
			md5:      NewUUIDHash(forceMD5),
			checksum: etag,
		}
	}
	return &Reader{

			continue
		}
		gotAligned := alignSparseEntries(append([]sparseEntry{}, v.in...), v.size)
		if !slices.Equal(gotAligned, v.wantAligned) {
			t.Errorf("test %d, alignSparseEntries():\ngot  %v\nwant %v", i, gotAligned, v.wantAligned)
		}
		gotInverted := invertSparseEntries(append([]sparseEntry{}, v.in...), v.size)
		if !slices.Equal(gotInverted, v.wantInverted) {

			t.Fatalf("test %v: result: expected: %v, got: %v", i+1, testCase.set, result)
		}

		result.add(testCase.targetIDToAdd)
		if reflect.DeepEqual(result, testCase.set) {
			t.Fatalf("test %v: result: expected: not equal, got: equal", i+1)
		}
	}
}

func TestTargetIDSetUnion(t *testing.T) {
	testCases := []struct {
		set            TargetIDSet
		setToAdd       TargetIDSet
		expectedResult TargetIDSet
	}{

## Corpos de `dict`s arbitrários { #bodies-of-arbitrary-dicts }

Você também pode declarar um corpo como um `dict` com chaves de algum tipo e valores de outro tipo.

Sem ter que saber de antemão quais são os nomes de campos/atributos válidos (como seria o caso dos modelos Pydantic).

Isso seria útil se você deseja receber chaves que ainda não conhece.

---

    assert response.json() == {
        "detail": [
            {
                "type": "greater_than_equal",
                "loc": ["path", "item_id"],
                "msg": "Input should be greater than or equal to 3",
                "input": "2",
                "ctx": {"ge": 3.0},
            }
        ]
    }


def test_path_param_lt_42():
    response = client.get("/path/param-lt/42")

    assert response.json() == {
        "detail": [
            {
                "loc": ["path", "item_id"],
                "input": "-1",
                "msg": "Input should be greater than or equal to 0",
                "type": "greater_than_equal",
                "ctx": {"ge": 0},
            }
        ]
    }


def test_read_items_item_id_greater_than_one_thousand(client: TestClient):

	// SS parity drives should be greater than or equal to minParityDrives.
	// Parity below minParityDrives is not supported.
	if ssParity > 0 && ssParity < minParityDrives {
		return fmt.Errorf("parity %d should be greater than or equal to %d",
			ssParity, minParityDrives)
	}

	if ssParity > setDriveCount/2 {
		return fmt.Errorf("parity %d should be less than or equal to %d", ssParity, setDriveCount/2)
	}

	return nil

                    "msg": "Input should be less than or equal to 100",
                    "input": "150",
                    "ctx": {"le": 100},
                },
                {
                    "type": "greater_than_equal",
                    "loc": ["query", "offset"],
                    "msg": "Input should be greater than or equal to 0",
                    "input": "-1",
                    "ctx": {"ge": 0},