"⩍":                           "\u2a4d",
	"č":                          "\u010d",
	"ç":                          "\u00e7",
	"ĉ":                           "\u0109",
	"⩌":                           "\u2a4c",
	"⩐":                         "\u2a50",
	"ċ":                            "\u010b",
	"¸":                           "\u00b8",
	"⦲":                         "\u29b2",

        entities.put("acute", "\u00b4");
        entities.put("micro", "\u00b5");
        entities.put("para", "\u00b6");
        entities.put("middot", "\u00b7");
        entities.put("cedil", "\u00b8");
        entities.put("sup1", "\u00b9");
        entities.put("ordm", "\u00ba");
        entities.put("raquo", "\u00bb");
        entities.put("frac14", "\u00bc");
        entities.put("frac12", "\u00bd");

	"deg":      "\u00B0",
	"plusmn":   "\u00B1",
	"sup2":     "\u00B2",
	"sup3":     "\u00B3",
	"acute":    "\u00B4",
	"micro":    "\u00B5",
	"para":     "\u00B6",
	"middot":   "\u00B7",
	"cedil":    "\u00B8",
	"sup1":     "\u00B9",
	"ordm":     "\u00BA",
	"raquo":    "\u00BB",
	"frac14":   "\u00BC",
	"frac12":   "\u00BD",
	"frac34":   "\u00BE",
	"iquest":   "\u00BF",
	"Agrave":   "\u00C0",

  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

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

      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;
  }