class ValueArray2 {
 public:
  ValueArray2(T1 v1, T2 v2) : v1_(v1), v2_(v2) {}

  template <typename T>
  operator ParamGenerator<T>() const {
    const T array[] = {static_cast<T>(v1_), static_cast<T>(v2_)};
    return ValuesIn(array);
  }

 private:
  // No implementation - assignment is unsupported.
  void operator=(const ValueArray2& other);

  const T1 v1_;
  const T2 v2_;
};

class ValueArray2 {
 public:
  ValueArray2(T1 v1, T2 v2) : v1_(v1), v2_(v2) {}

  template <typename T>
  operator ParamGenerator<T>() const {
    const T array[] = {static_cast<T>(v1_), static_cast<T>(v2_)};
    return ValuesIn(array);
  }

 private:
  // No implementation - assignment is unsupported.
  void operator=(const ValueArray2& other);

  const T1 v1_;
  const T2 v2_;
};

array notHosts: description: Optional. items: type: string type: array notMethods: description: Optional. items: type: string type: array notPaths: description: Optional. items: type: string type: array notPorts: description: Optional. items: type: string type: array paths: description: Optional. items: type: string type: array ports: description: Optional. items: type: string type: array type: object type: object type: array when: description: Optional. items: properties: key: description: The name...

      "dependencies": {
        "call-bind": "^1.0.2",
        "is-array-buffer": "^3.0.1"
      },
      "funding": {
        "url": "https://github.com/sponsors/ljharb"
      }
    },
    "node_modules/array-union": {
      "version": "2.1.0",
      "resolved": "https://registry.npmjs.org/array-union/-/array-union-2.1.0.tgz",

		}
		// "x is a slice, T is a pointer-to-array type,
		// and the slice and array types have identical element types."
		if dst.Kind() == abi.Pointer && dst.Elem().Kind() == abi.Array && src.Elem() == dst.Elem().Elem() {
			return cvtSliceArrayPtr
		}
		// "x is a slice, T is an array type,
		// and the slice and array types have identical element types."
		if dst.Kind() == abi.Array && src.Elem() == dst.Elem() {

        },
        "values": {
          "description": "An array of string values. If the operator is In or NotIn, the values array must be non-empty. If the operator is Exists or DoesNotExist, the values array must be empty. If the operator is Gt or Lt, the values array must have a single element, which will be interpreted as an integer. This array is replaced during a strategic merge patch.",
          "items": {

			obj: map[string]interface{}{
				"array": []interface{}{1, 1, 2, 2, 3, 3, 4, 5},
			},
			schema: objectTypePtr(map[string]schema.Structural{
				"array": listType(&integerType),
			}),
			valid: []string{
				"2 in self.array",
				"self.array.all(e, e > 0)",
				"self.array.exists(e, e > 2)",
				"self.array.exists_one(e, e > 4)",
				"!self.array.all(e, e < 2)",
				"!self.array.exists(e, e < 0)",

var a [10]int
s1 := a[3:7]   // underlying array of s1 is array a; &s1[2] == &a[5]
s2 := s1[1:4]  // underlying array of s2 is underlying array of s1 which is array a; &s2[1] == &a[5]
s2[1] = 42     // s2[1] == s1[2] == a[5] == 42; they all refer to the same underlying array element
</pre>


<h4>Full slice expressions</h4>

<p>

            "items": {
              "default": "",
              "type": "string"
            },
            "type": "array",
            "x-kubernetes-list-type": "atomic"
          },
          "x-kubernetes-list-type": {

func.func @slice(
    %arg0: tensor<3x4x!quant.uniform<i8:f32, 2.000000e+00:-1>>
  ) -> tensor<2x2x!quant.uniform<i8:f32, 2.000000e+00:-1>> {
  %0 = "stablehlo.slice"(%arg0) {
    start_indices = array<i64: 1, 2>,
    limit_indices = array<i64: 3, 4>,
    strides = array<i64: 1, 1>
  } : (
    tensor<3x4x!quant.uniform<i8:f32, 2.000000e+00:-1>>
  ) -> tensor<2x2x!quant.uniform<i8:f32, 2.000000e+00:-1>>