for _, e := range envs {
		if !shouldExtract(e, prefix) {
			continue
		}
		v := e[metaPrefixLen:]
		if !isEnvVar(v) {
			continue
		}
		metaKey, metaVal := parseEnvVar(v)
		set(meta, metaKey, metaVal)
	}
}

func shouldExtract(envVar, prefix string) bool {
	return strings.HasPrefix(envVar, prefix)
}

func isEnvVar(str string) bool {
	return strings.Contains(str, "=")

// NewReferencedResourceNotFound returns a new diag.Message based on ReferencedResourceNotFound.
func NewReferencedResourceNotFound(r *resource.Instance, reftype string, refval string) diag.Message {
	return diag.NewMessage(
		ReferencedResourceNotFound,
		r,
		reftype,
		refval,
	)
}

// NewNamespaceNotInjected returns a new diag.Message based on NamespaceNotInjected.

  // CHECK-NEXT: %[[SIZE:.*]] = "tf.Reshape"(%[[NUM]], %[[SIZE_SHAPE]])
  %tl = "tf.TensorListReserve"(%elem_shape, %num) : (tensor<0xi32>, tensor<i32>) -> tensor<!tf_type.variant<tensor<f32>>>
  // CHECK-NEXT: %[[SETVAL:.*]] = "tf._SomeOp"()
  %elem = "tf._SomeOp"() : () -> tensor<f32>
  // CHECK-NEXT: %[[SIZE_SHAPE1:.*]] = "tf.Const"() <{value = dense<1> : tensor<1xi32>}>

static const char kImportModelDefaultGraphFuncName[] = "main";

// Please refer to the TFG dialect description for the list of used attributes.
// Belows are the attributes in TFE.
// TFE Arguments and Results (Got from "_Arg",
// "_Retval", .etc)
//  NodeDef.device <-> "tf.device"
//  NodeDef.attr <-> "tf."
//
// TFE general operations
//  NodeDef.device <-> "device"
//
// The following two functions are only used for mapping/excluding attributes

    code: IST0101
    level: Error
    description: "A resource being referenced does not exist."
    template: "Referenced %s not found: %q"
    args:
      - name: reftype
        type: string
      - name: refval
        type: string

  - name: "NamespaceNotInjected"
    code: IST0102
    level: Info
    description: "A namespace is not enabled for Istio injection."

	high = signExtend(high, 20)

	return low, high, nil
}

func regVal(r, min, max uint32) uint32 {
	if r < min || r > max {
		panic(fmt.Sprintf("register out of range, want %d <= %d <= %d", min, r, max))
	}
	return r - min
}

// regI returns an integer register.
func regI(r uint32) uint32 {
	return regVal(r, REG_X0, REG_X31)
}

// regF returns a float register.

// This ensures that constants of different kind but equal value (such as
// 1.0 + 0i, 1.0, 1) result in the same value.
func keyVal(x constant.Value) interface{} {
	switch x.Kind() {
	case constant.Complex:
		f := constant.ToFloat(x)
		if f.Kind() != constant.Float {
			r, _ := constant.Float64Val(constant.Real(x))
			i, _ := constant.Float64Val(constant.Imag(x))
			return complex(r, i)
		}
		x = f
		fallthrough

		for _, delKey := range strings.Fields(inputs[1]) {
			_, ok := currKVS.Lookup(delKey)
			if !ok {
				return Error[ErrConfigNotFound]("key %s doesn't exist", delKey)
			}
			defVal, isDef := defKVS.Lookup(delKey)
			if isDef {
				currKVS.Set(delKey, defVal)
			} else {
				currKVS.Delete(delKey)
			}
		}
		c[subSys][tgt] = currKVS
	} else {
		delete(c[subSys], tgt)
	}
	return nil
}

    mlir::OperationName name = inner_op->getName();
    if (!name.isRegistered() &&
        // Skip unmodelled ops that are handled differently.
        (node_type_name != "_Arg" && node_type_name != "_Retval") &&
        !unmodelled_op_names_.count(name.getIdentifier())) {
      if (node.op_def().is_stateful()) {
        VLOG(1) << "[potentially conservative] Op type `" << node.type_string()

      "XlaVariadicReduce",
      "XlaVariadicReduceV2",
      "XlaVariadicSort",
      "XlaWhile",
      "Zeta",
      "_Arg",
      "_ArrayToList",
      "_ListToArray",
      "_Retval"};
  return result;
}

}  // namespace testing