apiVersion: release-notes/v2
kind: feature
area: telemetry
issue: []
releaseNotes:
  - |

  - **apiserver_flowcontrol_priority_level_seat_count_samples**: histograms of seats occupied by executing requests (both regular and final-delay phases included), broken down by priority_level; the observations are taken once per millisecond.

	// GaugeMT - represents a gauge metric.
	GaugeMT
	// HistogramMT - represents a histogram metric.
	HistogramMT
	// rangeL - represents a range label.
	rangeL = "range"
)

func (mt MetricType) String() string {
	switch mt {
	case CounterMT:
		return "counter"
	case GaugeMT:
		return "gauge"
	case HistogramMT:
		return "histogram"
	default:
		return "*unknown*"
	}
}

  TF_Buffer* result1 = TF_NewBuffer();
  TFE_MonitoringSamplerCellValue(cell1, result1);
  tensorflow::HistogramProto histogram1;
  EXPECT_TRUE(histogram1.ParseFromString(
      {reinterpret_cast<const char*>(result1->data), result1->length}));
  EXPECT_EQ(histogram1.sum(), 3.0);
  TF_DeleteBuffer(result1);
  TFE_MonitoringDeleteSampler1(sampler1);

// HISTOGRAM-MSE-BRUTEFORCE-CHECK-NEXT:  return [[res]] : tensor<*xf32>

// HISTOGRAM-MSE-BRUTEFORCE-CHECK: func @no_composite_func
// HISTOGRAM-MSE-BRUTEFORCE-CHECK-NEXT:  "tf.AddV2"
// HISTOGRAM-MSE-BRUTEFORCE-CHECK-NEXT:  return

// HISTOGRAM-MSE-BRUTEFORCE-CHECK: func @composite_conv2d_with_relu6_fn
// HISTOGRAM-MSE-BRUTEFORCE-CHECK-NEXT:  "tf.Conv2D"
// HISTOGRAM-MSE-BRUTEFORCE-CHECK-NEXT:  "tf.Relu6"

}

void CalibrationStatisticsCollectorHistogram::Collect(
    const float min, const float max, absl::Span<const int64_t> histogram) {
  if (histogram.empty()) return;

  // Reconstruct the bin width, lower and upper bound from the collected data.
  const float collected_bin_width =
      CalculateBinWidth(min, max, histogram.size());
  const float collected_lower_bound =
      CalculateLowerBound(min, collected_bin_width);

TEST(CalibrationStatisticsCollectorTest, SimpleMinMax) {
  auto collector = CalibrationStatisticsCollectorMinMax();

  collector.Collect(
      /*min=*/1.0f, /*max=*/10.f, /*histogram=*/{});
  collector.Collect(
      /*min=*/-5.0f, /*max=*/5.f, /*histogram=*/{});

  std::optional<CalibrationStatistics> statistics = collector.GetStatistics();

  EXPECT_TRUE(statistics.has_value());

      self.assertLen(aggregator_output.histogram, 512)
      self.assertEqual(sum(aggregator_output.histogram), 5)
      self.assertEqual(aggregator_output.histogram[0], 2)
      self.assertEqual(aggregator_output.histogram[128], 1)
      self.assertEqual(aggregator_output.histogram[192], 1)
      self.assertEqual(aggregator_output.histogram[320], 1)


if __name__ == '__main__':

  auto values_array = static_cast<T*>(TF_TensorData(safe_values_ptr.get()));
  tensorflow::histogram::Histogram histo;
  for (int64_t i = 0; i < TF_TensorElementCount(safe_values_ptr.get()); ++i) {
    const double double_val = static_cast<double>(values_array[i]);
    if (Eigen::numext::isnan(double_val)) {
      std::ostringstream err;
      err << "Nan in summary histogram for: " << k->op_node_name;

import org.opensearch.search.aggregations.AggregationBuilders;
import org.opensearch.search.aggregations.BucketOrder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramInterval;
import org.opensearch.search.aggregations.bucket.histogram.Histogram;
import org.opensearch.search.aggregations.bucket.terms.Terms;
import org.opensearch.search.aggregations.metrics.Avg;
import org.opensearch.search.aggregations.metrics.Cardinality;