}

			if defaultRequestQuantityFound && minQuantityFound && minQuantity.Cmp(defaultRequestQuantity) > 0 {

}

// CHECK-LABEL:   func @greater(
// CHECK-SAME:                  %[[VAL_0:.*]]: tensor<2xi32>,
// CHECK-SAME:                  %[[VAL_1:.*]]: tensor<2xi32>) -> tensor<2xi1> {
// CHECK:           %[[VAL_2:.*]] = "tf.Greater"(%[[VAL_0]], %[[VAL_1]]) : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi1>
// CHECK:           return %[[VAL_2]] : tensor<2xi1>
// CHECK:         }

...

          },
          "suspend": {

  // The RuntimeClass admission controller will reject Pod create requests which have the overhead already
  // set. If RuntimeClass is configured and selected in the PodSpec, Overhead will be set to the value
  // defined in the corresponding RuntimeClass, otherwise it will remain unset and treated as zero.

					Type: "object",
					XValidations: apiextensions.ValidationRules{
						{
							Rule:    "self.minReplicas <= self.maxReplicas",
							Message: "minReplicas should be no greater than maxReplicas",
						},
					},
					Properties: map[string]apiextensions.JSONSchemaProps{
						"minReplicas": {
							Type: "integer",
						},
						"maxReplicas": {
							Type: "integer",

	// insufficient replicas are detected.
	// Reference to an object that describes the pod that will be created if insufficient replicas are detected.
	// +optional
	// TemplateRef *ObjectReference `json:"templateRef,omitempty"`

	// Template is the object that describes the pod that will be created if

	// The RuntimeClass admission controller will reject Pod create requests which have the overhead already
	// set. If RuntimeClass is configured and selected in the PodSpec, Overhead will be set to the value
	// defined in the corresponding RuntimeClass, otherwise it will remain unset and treated as zero.

github-actions-create-repository.png...

        rewriter.create<SubtractOp>(loc, b_max_diag_len, diag_len_d), b_zero);

    // x = max(d, 0) - offset
    // y = max(-d, 0) - offset
    Value x = rewriter.create<SubtractOp>(
        loc, rewriter.create<MaxOp>(loc, d, b_zero), offset);
    Value y = rewriter.create<SubtractOp>(
        loc, rewriter.create<MaxOp>(loc, neg_d, b_zero), offset);

    Value n_plus_x = rewriter.create<AddOp>(loc, iotaN, x);