constraints.AssertTrue.message  = {item} doit être vrai.
constraints.DecimalMax.message  = {item} doit être plus petit que ${inclusive == true ? 'or equal to ' : ''}{value}.
constraints.DecimalMin.message  = {item} doit être plus grand que  ${inclusive == true ? 'or equal to ' : ''}{value}.
constraints.Digits.message      = {item} est une valeur numérique hors des limites (Il faut <{integer} chiffres>.<{fraction} chiffres>).

    }

    /** Returns the minimum child or {@code -1} if no child exists. */
    int findMinChild(int index) {
      return findMin(getLeftChildIndex(index), 2);
    }

    /** Returns the minimum grand child or -1 if no grand child exists. */
    int findMinGrandChild(int index) {
      int leftChildIndex = getLeftChildIndex(index);
      if (leftChildIndex < 0) {
        return -1;
      }

Cela le rend extrêmement intuitif.

Il est comparable à Marshmallow. Bien qu'il soit plus rapide que Marshmallow dans les benchmarks. Et comme il est
basé sur les mêmes type hints Python, le support de l'éditeur est grand.

!!! check "**FastAPI** l'utilise pour"
Gérer toute la validation des données, leur sérialisation et la documentation automatique du modèle (basée sur le schéma JSON).

                 absl::Span<AbstractTensorHandle* const> grad_outputs,
                 absl::Span<AbstractTensorHandle*> grad_inputs) override {
    // TODO(b/161805092): Support broadcasting.

    DCHECK(grad_outputs[0]);
    grad_inputs[0] = grad_outputs[0];
    grad_inputs[1] = grad_outputs[0];

    grad_inputs[0]->Ref();
    grad_inputs[1]->Ref();
    return absl::OkStatus();
  }

==============================================================================*/
#include "tensorflow/c/experimental/gradients/math_grad.h"

#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h"
#include "tensorflow/c/eager/unified_api_testutil.h"
#include "tensorflow/c/experimental/gradients/grad_test_helper.h"
#include "tensorflow/c/experimental/gradients/tape/tape_context.h"

	//
	i, locksFailed := 0, 0
	done := false

	for ; i < len(restClnts); i++ { // Loop until we acquired all locks
		select {
		case grant := <-ch:
			if grant.isLocked() {
				// Mark that this node has acquired the lock
				(*locks)[grant.index] = grant.lockUID
			} else {
				locksFailed++
				if locksFailed > tolerance {
					// We know that we are not going to get the lock anymore,

// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"bytes"
	"context"
	crand "crypto/rand"
	"io"
	"math/rand"
	"testing"

	"github.com/dustin/go-humanize"
)

func (a badDisk) ReadFile(ctx context.Context, volume string, path string, offset int64, buf []byte, verifier *BitrotVerifier) (n int64, err error) {

                {
                    "loc": ["body", "grant_type"],
                    "msg": "field required",
                    "type": "value_error.missing",
                }
            ]
        }
    )


def test_strict_login_incorrect_grant_type():
    response = client.post(
        "/login",
        data={"username": "johndoe", "password": "secret", "grant_type": "incorrect"},
    )

    int64_t tensor_id = source_tensor_ids[i];
    auto grad_it = gradients.find(tensor_id);
    if (grad_it == gradients.end()) {
      result[i] = nullptr;
    } else {
      if (grad_it->second.size() > 1) {
        Gradient* grad = vspace.AggregateGradients(grad_it->second);
        grad_it->second.clear();
        grad_it->second.push_back(grad);
      }
      result[i] = grad_it->second[0];
      used_gradient_ids.insert(tensor_id);

                {
                    "loc": ["body", "grant_type"],
                    "msg": "field required",
                    "type": "value_error.missing",
                }
            ]
        }
    )


def test_strict_login_incorrect_grant_type():
    response = client.post(
        "/login",
        data={"username": "johndoe", "password": "secret", "grant_type": "incorrect"},
    )