validateCmd.SetErr(&out)

			err := validateCmd.Execute()
			if (err != nil) != c.wantError {
				t.Errorf("unexpected validate return status: got %v want %v: \nerr=%v",
					err != nil, c.wantError, err)
			}
			output := out.String()
			if c.expectedRegexp != nil && !c.expectedRegexp.MatchString(output) {
				t.Errorf("Output didn't match for 'istioctl %s'\n got %v\nwant: %v",
					strings.Join(c.args, " "), output, c.expectedRegexp)

func TestSmoke(t *testing.T) {
	a := arena.NewArena()
	defer a.Free()

	tt := arena.New[T1](a)
	tt.n = 1

	ts := arena.MakeSlice[T1](a, 99, 100)
	if len(ts) != 99 {
		t.Errorf("Slice() len = %d, want 99", len(ts))
	}
	if cap(ts) != 100 {
		t.Errorf("Slice() cap = %d, want 100", cap(ts))
	}
	ts[1].n = 42
}

func TestSmokeLarge(t *testing.T) {
	a := arena.NewArena()
	defer a.Free()
	for i := 0; i < 10*64; i++ {

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"errors"
)

var (
	errLockConflict       = errors.New("lock conflict")
	errLockNotInitialized = errors.New("lock not initialized")
	errLockNotFound       = errors.New("lock not found")

    if (op_) {
      return errors::FailedPrecondition("Reset called on already built op.");
    }
    if (raw_device_name) {
      device_name_ = raw_device_name;
    }
    op_type_ = op;
    return absl::OkStatus();
  }
  absl::Status SetOpName(const char* const op_name) override {
    if (op_) {
      return errors::FailedPrecondition(
          "SetOpName called on already built op.");

		if err != tt.expectedErr {
			t.Errorf("Test %d: Expected %s, got %s", i+1, tt.expectedErr, err)
		}
		if !bytes.Equal(chunkSize, tt.chunkSize) {
			t.Errorf("Test %d: Expected %s, got %s", i+1, string(tt.chunkSize), string(chunkSize))
		}
		if !bytes.Equal(chunkSignature, tt.chunkSignature) {
			t.Errorf("Test %d: Expected %s, got %s", i+1, string(tt.chunkSignature), string(chunkSignature))
		}

  }

  if (ctx == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid Context");
    return nullptr;
  }

  tensorflow::AbstractTensorInterface* t =
      tensorflow::unwrap(ctx)->CreateTensor(
          static_cast<tensorflow::DataType>(dtype), dimvec);

  if (t == nullptr) {
    status->status =
        tensorflow::errors::InvalidArgument("Unsupported dtype: ", dtype);
    return nullptr;

	// Validation of credentials
	if conf.AccessKey == "" || conf.SecretKey == "" {
		return nil, errors.New("both access and secret keys are required")
	}

	if conf.Bucket == "" {
		return nil, errors.New("no bucket name was provided")
	}

	u, err := url.Parse(conf.Endpoint)
	if err != nil {
		return nil, err
	}

		case "STANDARD", "REDUCED_REDUNDANCY":
		default:
			return fmt.Errorf("unknown storage class %s", dest.StorageClass)
		}
	}
	parsedDest.StorageClass = dest.StorageClass
	*d = parsedDest
	return nil
}

// Validate - validates Resource is for given bucket or not.
func (d Destination) Validate(bucketName string) error {
	if !d.IsValid() {
		return Errorf("invalid destination")
	}

            try:
                return await original_route_handler(request)
            except RequestValidationError as exc:
                body = await request.body()
                detail = {"errors": exc.errors(), "body": body.decode()}
                raise HTTPException(status_code=422, detail=detail)

        return custom_route_handler


app = FastAPI()
app.router.route_class = ValidationErrorLoggingRoute

def test_exception_handler_body_access():
    response = client.post("/", json={"numbers": [1, 2, 3]})
    assert response.json() == IsDict(
        {
            "detail": {
                "errors": [
                    {
                        "type": "list_type",
                        "loc": ["body"],
                        "msg": "Input should be a valid list",