the red cast those Lines distinctly on it by about 2-1/2 or 2-3/4
Inches. For sometimes the Measures were a little greater, sometimes a
little less, but seldom varied from one another above 1/3 of an Inch.
For it was very difficult to define the Places of the Foci, without some
little Errors. Now, if the Colours distant half the Length of the
Image, (measured at its Rectilinear Sides) give 2-1/2 or 2-3/4

		},
		numErrs: 1,
	}, {
		name: "empty multi-port port[0] name",
		tweakSvc: func(s *core.Service) {
			s.Spec.Ports[0].Name = ""
			s.Spec.Ports = append(s.Spec.Ports, core.ServicePort{Name: "p", Protocol: "TCP", Port: 12345, TargetPort: intstr.FromInt32(12345)})
		},
		numErrs: 1,
	}, {

	ERROR_PIPE_NOT_CONNECTED                                                  syscall.Errno = 233
	ERROR_MORE_DATA                                                           syscall.Errno = 234
	ERROR_NO_WORK_DONE                                                        syscall.Errno = 235
	ERROR_VC_DISCONNECTED                                                     syscall.Errno = 240

0343          ; mapped                 ; 0313          # 1.1  COMBINING GREEK KORONIS
0344          ; mapped                 ; 0308 0301     # 1.1  COMBINING GREEK DIALYTIKA TONOS
0345          ; mapped                 ; 03B9          # 1.1  COMBINING GREEK YPOGEGRAMMENI
0346..034E    ; valid                                  # 3.0  COMBINING BRIDGE ABOVE..COMBINING UPWARDS ARROW BELOW

    shape = [30]

then the final deserialized `SparseTensor` will be:

    index = [0  0]
            [0 10]
            [0 20]
            [1  2]
            [1 10]
    values = [1, 2, 3, 4, 5]
    shape = [2 50]
  }];

  let arguments = (ins
    Arg<TensorOf<[TF_Str, TF_Variant]>, [{The serialized `SparseTensor` objects. The last dimension
must have 3 columns.}]>:$serialized_sparse
  );