sleep 2s

./mc ls -r --versions sitea/bucket-version/ >/tmp/sitea_dirs.txt
./mc ls -r --versions siteb/bucket-version/ >/tmp/siteb_dirs.txt

out=$(diff -qpruN /tmp/sitea_dirs.txt /tmp/siteb_dirs.txt)
ret=$?
if [ $ret -ne 0 ]; then
	echo "BUG: expected no 'diff' after replication: $out"
	exit 1
fi

sitea_count=$(cat /tmp/sitea_dirs.txt | wc -l) # need to do it this way to avoid filename in the output

              when {
                k <= bias -> TMIN
                k >= bias + TMAX -> TMAX
                else -> k - bias
              }
            if (q < t) break
            result.writeByte((t + ((q - t) % (BASE - t))).punycodeDigit)
            q = (q - t) / (BASE - t)
          }

          result.writeByte(q.punycodeDigit)
          bias = adapt(delta, h + 1, h == b)
          delta = 0

                                 const int64_t* dims, int num_dims) {
  DCHECK(index >= 0 && index < shape_list->num_items);
  TF_ShapeAndType& shape = shape_list->items[index];
  DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!";
  DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!";
  shape.num_dims = num_dims;
  shape.dims = new int64_t[num_dims];

                                                  float data[], int64_t dims[],
                                                  int num_dims);

// Get a Matrix TensorHandle with given float values and dimensions
TFE_TensorHandle* TestTensorHandleWithDimsFloat(TFE_Context* ctx, float data[],
                                                int64_t dims[], int num_dims);

// Get a Matrix TensorHandle with given int values and dimensions

	}
	minor, err := strconv.Atoi(minors)
	if err != nil {
		return nil, fmt.Errorf("minor version is not a number: %v", minors)
	}

	var messages diag.Messages = make([]diag.Message, 0)
	if minor <= 21 {
		// ENHANCED_RESOURCE_SCOPING
		if err := checkPilot(cli, ctx.IstioNamespace(), &messages); err != nil {
			return nil, err
		}
	}
	if minor <= 20 {

	g := NewWithT(t)

	firstMsg := diag.NewMessage(
		diag.NewMessageType(diag.Error, "B1", "Explosion accident: %v"),
		diag.MockResource("SoapBubble"),
		"the bubble is too big",
	)
	secondMsg := diag.NewMessage(
		diag.NewMessageType(diag.Warning, "C1", "Collapse danger: %v"),
		diag.MockResource("GrandCastle"),
		"the castle is too old",
	)

	msgs := diag.Messages{firstMsg, secondMsg}

                      absl::Span<const int64_t> dims, double abs_error) {
  TF_Tensor* analytical_tensor;
  auto s = GetValue(t, &analytical_tensor);
  ASSERT_EQ(errors::OK, s.code()) << s.message();

  int64_t num_elem_analytical = 1;
  auto num_dims_analytical = TF_NumDims(analytical_tensor);
  ASSERT_EQ(dims.size(), num_dims_analytical);
  for (int j = 0; j < num_dims_analytical; j++) {

  GTEST_SKIP();

  float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f};
  int64_t A_dims[] = {3, 3};
  AbstractTensorHandlePtr A;
  {
    AbstractTensorHandle* A_raw;
    status_ = TestTensorHandleWithDims<float, TF_FLOAT>(
        immediate_execution_ctx_.get(), A_vals, A_dims, 2, &A_raw);
    ASSERT_EQ(errors::OK, status_.code()) << status_.message();
    A.reset(A_raw);
  }

_site_packages_dirs = []
if _site.ENABLE_USER_SITE and _site.USER_SITE is not None:
  _site_packages_dirs += [_site.USER_SITE]
_site_packages_dirs += [p for p in _sys.path if "site-packages" in p]
if "getsitepackages" in dir(_site):
  _site_packages_dirs += _site.getsitepackages()

if "sysconfig" in dir(_distutils):
  _site_packages_dirs += [_distutils.sysconfig.get_python_lib()]

Dennoch können wir das zu erwartende Schema für den Requestbody deklarieren.

### Benutzerdefinierter OpenAPI-Content-Type

Mit demselben Trick könnten Sie ein Pydantic-Modell verwenden, um das JSON-Schema zu definieren, das dann im benutzerdefinierten Abschnitt des OpenAPI-Schemas für die *Pfadoperation* enthalten ist.

Und Sie könnten dies auch tun, wenn der Datentyp in der Anfrage nicht JSON ist.