</p>
            </div>

        </section>
    </main>

    <jsp:include page="/WEB-INF/view/common/admin/footer.jsp"></jsp:include>

</div>
<jsp:include page="/WEB-INF/view/common/admin/foot.jsp"></jsp:include>
</body>

    assertTrue(isNumber.apply(Float.class));
  }

  @J2ktIncompatible
  @GwtIncompatible // Predicates.subtypeOf
  public void testSubtypeOf_interface() {
    Predicate<Class<?>> isComparable = Predicates.subtypeOf(Comparable.class);

    assertTrue(isComparable.apply(Integer.class));
    assertTrue(isComparable.apply(Float.class));
  }

  @J2ktIncompatible

    @Override
    protected String getQueryClassName() {
        return BoostQuery.class.getSimpleName();
    }

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final BoostQuery boostQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("BoostQuery: query={}, boost={}", query, boost);
            }

from fastapi import APIRouter, FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Invoice(BaseModel):
    id: str
    title: Union[str, None] = None
    customer: str
    total: float


class InvoiceEvent(BaseModel):
    description: str
    paid: bool


class InvoiceEventReceived(BaseModel):
    ok: bool


invoices_callback_router = APIRouter()

<%@page pageEncoding="UTF-8" contentType="text/html; charset=UTF-8"%>
<ol class="breadcrumb float-sm-right">
	<c:if test="${crudMode == null}">
		<li class="breadcrumb-item active"><la:message key="labels.crud_link_list" /></li>
	</c:if>
	<c:if test="${crudMode != null}">
		<li class="breadcrumb-item"><la:link href="../list">
				<la:message key="labels.crud_link_list" />
			</la:link></li>
	</c:if>
	<c:if test="${crudMode == 1}">

The most common is the implicit flow.

The most secure is the code flow, but it's more complex to implement as it requires more steps. As it is more complex, many providers end up suggesting the implicit flow.

/// note

It's common that each authentication provider names their flows in a different way, to make it part of their brand.

                "input": "True",
            }
        ]
    }


def test_path_float_42():
    response = client.get("/path/float/42")
    assert response.status_code == 200
    assert response.json() == 42


def test_path_float_42_5():
    response = client.get("/path/float/42.5")
    assert response.status_code == 200
    assert response.json() == 42.5


def test_path_bool_foobar():

    // The values here look like 111...11101...010 in binary, where the initial 111...1110 takes
    // up exactly as many bits as can be represented in the significand (24 for float, 53 for
    // double). That final 0 should be rounded up to 1 because the remaining bits make that number
    // slightly nearer.
    long floatConversionTest = 0xfffffe8000000002L;

from fastapi.testclient import TestClient
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Invoice(BaseModel):
    id: str
    title: Optional[str] = None
    customer: str
    total: float


class InvoiceEvent(BaseModel):
    description: str
    paid: bool


class InvoiceEventReceived(BaseModel):
    ok: bool


invoices_callback_router = APIRouter()

from fastapi.exceptions import ResponseValidationError
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: Optional[float] = None
    owner_ids: Optional[list[int]] = None


@app.get("/items/invalid", response_model=Item)
def get_invalid():
    return {"name": "invalid", "price": "foo"}