case "url", "lowerAscii", "upperAscii", "substring", "trim":
		if len(args) >= 1 {
			cost := uint64(math.Ceil(float64(actualSize(args[0])) * common.StringTraversalCostFactor))
			return &cost
		}
	case "replace", "split":
		if len(args) >= 1 {
			// cost is the traversal plus the construction of the result
			cost := uint64(math.Ceil(float64(actualSize(args[0])) * 2 * common.StringTraversalCostFactor))
			return &cost
		}
	case "join":

  int sh;  // Stride on "height" dimension.
  int sw;  // Stride on "width" dimension.

  bool ceil_mode;  // Rounding strategy (ceil or floor).
};

// Rounds the dimension based on the ceil mode.
int RoundDim(float dim, bool ceil_mode) {
  if (ceil_mode) {
    return std::ceil(dim);
  }
  return std::floor(dim);
}

// For H or W, calculate the output dimension for average pool.

                    (IsBoolCompositeAttribute<"count_include_pad", "true"> $attrs)]>;

// Replaces aten.avg_pool2d with ceil mode with (T -> tfl.pad -> tfl.average_pool_2d -> mul -> T). Multiplies by a constant
// which corrects the overcounting of divisors that would occur if doing this computation on a padded tensor with ceil mode off.
def LegalizeAvgPoolCeilModeTrue: Pat<
                    (MHLO_CompositeOp:$old_val

StringAttr GetAvgPoolOpPadAttr(Builder& builder, mhlo::CompositeOp op);

// Get dense attr for a matrix that corrects the over counting of divisors when
// casting an average pool with ceil mode on in terms of average pool with it
// off.
DenseFPElementsAttr GetCorrectionMatrix(Builder& builder, mhlo::CompositeOp op);

}  // namespace odml
}  // namespace mlir

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
// `N * bin_width`.
inline float CalculateLowerBound(const float min_value, const float bin_width) {

			}
			got := decompress(c, bits)
			diff := min(a-got, got-a, a-got+q, got-a+q)
			ceil := q / (1 << bits)
			if diff > fieldElement(ceil) {
				t.Fatalf("decompress(compress(%d, %d), %d) = %d (diff %d, max diff %d)",
					a, bits, bits, got, diff, ceil)
			}
		}
	}
}

func CompressRat(x fieldElement, d uint8) uint16 {
	if x >= q {
		panic("x out of range")
	}

                                      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);
}

TEST(CalibrationParametersTest, CalculateBinWidthSmallerThanOne) {
  float bin_width = CalculateBinWidth(/*min_value=*/0.0, /*max_value=*/25.0,

	}
	value, isPercent, err := getIntOrPercentValueSafely(intOrPercent)
	if err != nil {
		return 0, fmt.Errorf("invalid value for IntOrString: %v", err)
	}
	if isPercent {
		if roundUp {
			value = int(math.Ceil(float64(value) * (float64(total)) / 100))
		} else {
			value = int(math.Floor(float64(value) * (float64(total)) / 100))
		}
	}
	return value, nil
}

// GetValueFromIntOrPercent was deprecated in favor of

	}

	configuredPartSize := minPartSize
	// Use floats for part size for all calculations to avoid
	// overflows during float64 to int64 conversions.
	partSizeFlt := float64(objectSize / maxPartsCount)
	partSizeFlt = math.Ceil(partSizeFlt/float64(configuredPartSize)) * float64(configuredPartSize)

	// Part size.
	partSize = int64(partSizeFlt)
	if partSize == 0 {
		return minPartSize, nil
	}
	return partSize, nil
}

      CalculateBinWidth(min, max, histogram.size());
  const float collected_lower_bound =
      CalculateLowerBound(min, collected_bin_width);
  const float collected_upper_bound =
      std::ceil(max / collected_bin_width) * collected_bin_width;

  // When histogram is not initialized.
  if (hist_freq_.empty()) {
    bin_width_ = collected_bin_width;
    lower_bound_ = collected_lower_bound;
  }