if availableAfterAllocation[numa] >= cpuGroupSize {
					remainderCombo = append(remainderCombo, numa)
				}
			}

			// Declare a set of local variables to help track the "balance
			// scores" calculated when using different subsets of
			// 'remainderCombo' to allocate remainder CPUs from.
			var bestLocalBalance float64 = math.MaxFloat64
			var bestLocalRemainder []int = nil

		fc := c.aclass(&p.From)
		tc := c.aclass(&p.To)
		if (p.As == AFMOVD || p.As == AFMOVS) && (fc == C_REG || fc == C_ZREG || tc == C_REG || tc == C_ZREG) {
			// FMOV Rx, Fy or FMOV Fy, Rx
			o1 = FPCVTI(0, 0, 0, 0, 6)
			if p.As == AFMOVD {
				o1 |= 1<<31 | 1<<22 // 64-bit
			}
			if fc == C_REG || fc == C_ZREG {
				o1 |= 1 << 16 // FMOV Rx, Fy
			}
		} else {
			o1 = c.oprrr(p, p.As)
		}

lawyers can talk about it for five minutes, without coming to a total disagreement as to all the premises. Innumerable children have been born into the cause; innumerable young people have married into it; innumerable old people have died out of it. Scores of persons have deliriously found themselves made parties in Jarndyce and Jarndyce, without knowing how or why; whole families have inherited legendary hatreds with the suit. The little plaintiff or defendant, who was promised a new rocking-horse...

    Res<TensorOf<[TF_Float16, TF_Float32]>, [{A 1-D float tensor of shape `[M]` representing the corresponding
scores for each selected box, where `M <= max_output_size`.  Scores only differ
from corresponding input scores when using Soft NMS (i.e. when
`soft_nms_sigma>0`)}]>:$selected_scores,
    Res<TF_Int32Tensor, [{A 0-D integer tensor representing the number of valid elements in

*   In `Attention` and `AdditiveAttention` layers, the `call()` method now
    accepts a `return_attention_scores` argument. When set to True, the layer
    returns the attention scores as an additional output argument.
*   Adds `tf.metrics.log_cosh` and `tf.metrics.logcosh` API entrypoints with the
    same implementation as their `tf.losses` equivalent.

							Type:        []string{"string"},
							Format:      "",
						},
					},
					"weight": {
						SchemaProps: spec.SchemaProps{
							Description: "The numeric multiplier for the node scores that the prioritize call generates. The weight should be a positive integer",
							Type:        []string{"integer"},
							Format:      "int64",
						},
					},
					"bindVerb": {