namespace {

// Calculates the number of bins from the range and bin width.
inline int32_t CalculateActualNumBins(const float min_value,
                                      const float max_value,
                                      const float bin_width) {
  const float lower_bound = CalculateLowerBound(min_value, bin_width);
  return std::ceil((max_value - lower_bound) / bin_width);
}

namespace mlir {
namespace TFL {

template <class TFFakeQuantOp>
struct FetchMinMaxAttrs {
  using AttrType = FloatAttr;
  bool operator()(TFFakeQuantOp tf_op, AttrType &min_value,
                  AttrType &max_value) const {
    min_value = tf_op.getMinAttr();
    max_value = tf_op.getMaxAttr();
    return true;  // Successfully matched and fetched.
  }
};

template <class TFFakeQuantOp>

        assertEquals(Integer.MAX_VALUE, problem.getLineNumber());

        // this case is not specified, might also return -1
        problem = new DefaultProblem(null, null, null, Integer.MIN_VALUE, -1, null);
        assertEquals(Integer.MIN_VALUE, problem.getLineNumber());
    }

    @Test
    void testGetColumnNumber() {
        DefaultProblem problem = new DefaultProblem(null, null, null, -1, -1, null);

  public void testCheckPositive_maxInt() {
    MathPreconditions.checkPositive("int", Integer.MAX_VALUE);
  }

  public void testCheckPositive_minInt() {
    try {
      MathPreconditions.checkPositive("int", Integer.MIN_VALUE);
      fail();
    } catch (IllegalArgumentException expected) {
    }
  }

  public void testCheckPositive_positiveInt() {
    MathPreconditions.checkPositive("int", 1);
  }

    statistics.min_max_statistics.global_min = 1.0
    statistics.min_max_statistics.global_max = 5.0

    min_value, max_value = calibration_algorithm.get_min_max_value(
        statistics, calib_opts
    )
    self.assertAllEqual((min_value, max_value), (1.0, 5.0))

  def test_average_min_max(self):
    calib_opts = stablehlo_quant_config_pb2.CalibrationOptions(

namespace mlir {
namespace quant {

template <class TFFakeQuantOp>
struct FetchMinMaxAttrs {
  using AttrType = FloatAttr;
  bool operator()(TFFakeQuantOp tf_op, AttrType &min_value,
                  AttrType &max_value) const {
    min_value = tf_op.getMinAttr();
    max_value = tf_op.getMaxAttr();
    return true;  // Successfully matched and fetched.
  }
};

template <class TFFakeQuantOp>

                                                     &histogram_output));
    if (num_bins > 0) {
      const float min_value = min_output->scalar<float>()();
      const float max_value = max_output->scalar<float>()();
      CalculateHistogramStatistics(context, input_tensor, min_value, max_value,
                                   num_bins, histogram_output);
    }
  }

 private:
  std::string id_;

// number of bins might be smaller than the given `num_bins`.
inline float CalculateBinWidth(const float min_value, const float max_value,
                               const int32_t num_bins) {
  const float raw_bin_width = (max_value - min_value) / num_bins;
  return std::pow(2, std::ceil(std::log2(raw_bin_width)));
}

// Calculates the lower bound of the histogram. The lower bound is in form of

   *
   * <p>Instead of throwing {@link ArithmeticException}, this method silently saturates to either
   * {@link Long#MAX_VALUE} or {@link Long#MIN_VALUE}. This behavior can be useful when decomposing
   * a duration in order to call a legacy API which requires a {@code long, TimeUnit} pair.
   */
  @SuppressWarnings({

        new OperationIdentifier(-1).getId() == -1
        new OperationIdentifier(1).getId() == 1
        new OperationIdentifier(Long.MAX_VALUE).getId() == Long.MAX_VALUE
        new OperationIdentifier(Long.MIN_VALUE).getId() == Long.MIN_VALUE
    }

    def "disallows instantiation with a value of 0"() {
        when:
        new OperationIdentifier(0)

        then:
        thrown(IllegalArgumentException)
    }