// contributions to the distribution must be beyond the
	// desired quantile and hence cannot affect it.
	//
	// First, find the highest desired distribution quantile.
	maxQ := quantiles[0]
	for _, q := range quantiles {
		if q > maxQ {
			maxQ = q
		}
	}
	// The distribution's mass is in units of time (it's not
	// normalized because this would make it more annoying to

			scavenged: []BitRange{{1, 10}},
			min:       m,
			max:       3 * m,
			want:      BitRange{128, 3 * uint(m)},
		}
		tests["Max0"+suffix] = test{
			scavenged: []BitRange{{0, PallocChunkPages - uint(m)}},
			min:       m,
			max:       0,
			want:      BitRange{PallocChunkPages - uint(m), uint(m)},
		}
		if m <= 8 {
			tests["OneFree"] = test{

      %output_6, %min_7, %max_8, %histogram_9 = "tf.CustomAggregator"(%5) <{calibration_method = 1 : i32, id = "1", max_percentile = 0.000000e+00 : f32, min_percentile = 0.000000e+00 : f32, num_bins = 0 : i32}> : (tensor<1x3xf32>) -> (tensor<1x3xf32>, tensor<f32>, tensor<f32>, tensor<0xi64>)...

  auto maxs = tensor.quantization->max;
  if (mins.size() != maxs.size() || mins.empty()) return nullptr;

  llvm::SmallVector<llvm::APFloat, 4> min_maxs;
  min_maxs.reserve(mins.size() * 2);
  for (int i = 0, end = mins.size(); i < end; ++i) {
    llvm::APFloat min(mins[i]);
    llvm::APFloat max(maxs[i]);
    min_maxs.push_back(min);
    min_maxs.push_back(max);
  }

    @Required
    @Size(max = 200)
    public String name;

    @Size(max = 1000)
    public String description;

    @Required
    @CustomSize(maxKey = "form.admin.max.input.size")
    public String handlerName;

    @CustomSize(maxKey = "form.admin.max.input.size")
    public String handlerParameter;

    @CustomSize(maxKey = "form.admin.max.input.size")
    public String handlerScript;

    public Integer crudMode;

    @Size(max = 100)
    public String hostname;

    @Min(value = 0)
    @Max(value = 2147483647)
    @ValidateTypeFailure
    public Integer port;

    @Size(max = 100)
    public String authRealm;

    @Size(max = 10)
    public String protocolScheme;

    @Required
    @Size(max = 100)
    public String username;

    @Size(max = 100)
    public String password;

  """MinMaxCalibrationAlgorithm for calculating min and max values of calibration result.

  MinMax calibration calculates the global min and global max values.

  global min = min of given sample inputs
  global max = max of given sample inputs
  """

  def get_min_max_value(self) -> tuple[float, float]:
    """Calculates the global min and max values.

    Returns:

    public Integer crudMode;

    @Size(max = 100)
    public String hostname;

    @Min(value = 0)
    @Max(value = 2147483647)
    @ValidateTypeFailure
    public Integer port;

    @Size(max = 10)
    public String protocolScheme;

    @Required
    @Size(max = 100)
    public String username;

    @Size(max = 100)
    public String password;

    @Size(max = 1000)
    public String parameters;

// MIN-MAX-CHECK-NEXT:  return

// MIN-MAX-CHECK: func @composite_conv2d_with_relu6_fn
// MIN-MAX-CHECK-NEXT:  "tf.Conv2D"
// MIN-MAX-CHECK-NEXT:  "tf.Relu6"
// MIN-MAX-CHECK-NEXT:  return

// CalibrationOptions(calibration_method=CALIBRATION_METHOD_AVERAGE_MIN_MAX)
// AVERAGE-MIN-MAX-CHECK: func @wrap_composite_func

                                println "heap: \${format(heap.used)} (initial \${format(heap.init)}, committed \${format(heap.committed)}, max \${format(heap.max)}"
                                println "nonHeap: \${format(nonHeap.used)} (initial \${format(nonHeap.init)}, committed \${format(nonHeap.committed)}, max \${format(nonHeap.max)}"

                                ManagementFactory.memoryMXBean.gc()