plugins: forked-1.1.3, xdist-1.31.0, cov-2.8.1
collected 6 items

---> 100%

test_main.py <span style="color: green; white-space: pre;">......                            [100%]</span>

<span style="color: green;">================= 1 passed in 0.03s =================</span>
```

plugins: forked-1.1.3, xdist-1.31.0, cov-2.8.1
collected 6 items

---> 100%

test_main.py <span style="color: green; white-space: pre;">......                            [100%]</span>

<span style="color: green;">================= 1 passed in 0.03s =================</span>
```

#define TENSORFLOW_COMPILER_MLIR_QUANTIZATION_TENSORFLOW_CALIBRATOR_CALIBRATION_STATISTICS_COLLECTOR_HISTOGRAM_H_

#include <cstdint>
#include <deque>
#include <optional>
#include <utility>

#include "absl/types/span.h"
#include "tensorflow/compiler/mlir/quantization/stablehlo/quantization_config.pb.h"
#include "tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_statistics.pb.h"

          maxNumberOfAttributes: {{ (($.Values.global.tracer).stackdriver).maxNumberOfAttributes | default "200" }}
          # The global default max number of annotation events per span.
          maxNumberOfAnnotations: {{ (($.Values.global.tracer).stackdriver).maxNumberOfAnnotations | default "200" }}
          # The global default max number of message events per span.

          maxNumberOfAttributes: {{ (($.Values.global.tracer).stackdriver).maxNumberOfAttributes | default "200" }}
          # The global default max number of annotation events per span.
          maxNumberOfAnnotations: {{ (($.Values.global.tracer).stackdriver).maxNumberOfAnnotations | default "200" }}
          # The global default max number of message events per span.

absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> ImportSavedModel(
    const std::string& input_filename, int saved_model_version,
    const std::unordered_set<std::string>& tags,
    absl::Span<const std::string> extra_tf_opdefs,
    absl::Span<std::string> exported_names, const GraphImportConfig& specs,
    bool enable_variable_lifting, mlir::MLIRContext* context,
    std::unique_ptr<tensorflow::SavedModelBundle>* saved_model_bundle);

    SavedModelV2Bundle* saved_model, mlir::MLIRContext* context,
    absl::Span<std::string> exported_names, MLIRImportOptions options = {});

// Given a V1 SavedModel, returns a MLIR module containing the functions,
// expressed with tf_executor dialect.
absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> ConvertSavedModelV1ToMlir(
    const SavedModelBundle& saved_model, absl::Span<std::string> exported_names,

plugins: forked-1.1.3, xdist-1.31.0, cov-2.8.1
collected 6 items

---> 100%

test_main.py <span style="color: green; white-space: pre;">......                            [100%]</span>

<span style="color: green;">================= 1 passed in 0.03s =================</span>
```

apiVersion: release-notes/v2
kind: bug-fix
area: telemetry
releaseNotes:
  - |

	}
	output := fakeRecorder.Ended()
	if len(output) != 1 {
		t.Fatalf("got %d; expected len(output) == 1", len(output))
	}
	span := output[0]
	if span.Name() != filterName {
		t.Fatalf("got %s; expected span.Name == my-filter", span.Name())
	}