Fix edge cases in "smart aiming" in sliders (#7680)
When dragging slider, we try to pick nice, round values. There were a couple edge cases there that were handled wrong. This is now fixed.
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1a6f2aba08
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@ -31,6 +31,8 @@ pub fn best_in_range_f64(min: f64, max: f64) -> f64 {
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return -best_in_range_f64(-max, -min);
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}
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debug_assert!(0.0 < min && min < max, "Logic bug");
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// Prefer finite numbers:
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if !max.is_finite() {
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return min;
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@ -44,7 +46,8 @@ pub fn best_in_range_f64(min: f64, max: f64) -> f64 {
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let max_exponent = max.log10();
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if min_exponent.floor() != max_exponent.floor() {
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// pick the geometric center of the two:
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// Different orders of magnitude.
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// Pick the geometric center of the two:
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let exponent = fast_midpoint(min_exponent, max_exponent);
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return 10.0_f64.powi(exponent.round() as i32);
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}
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@ -56,65 +59,85 @@ pub fn best_in_range_f64(min: f64, max: f64) -> f64 {
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return 10.0_f64.powf(max_exponent);
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}
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let exp_factor = 10.0_f64.powi(max_exponent.floor() as i32);
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// Find the proper scale, and then convert to integers:
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let min_str = to_decimal_string(min / exp_factor);
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let max_str = to_decimal_string(max / exp_factor);
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let scale = NUM_DECIMALS as i32 - max_exponent.floor() as i32 - 1;
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let scale_factor = 10.0_f64.powi(scale);
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let min_str = to_decimal_string((min * scale_factor).round() as u64);
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let max_str = to_decimal_string((max * scale_factor).round() as u64);
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// We now have two positive integers of the same length.
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// We want to find the first non-matching digit,
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// which we will call the "deciding digit".
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// Everything before it will be the same,
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// everything after will be zero,
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// and the deciding digit itself will be picked as a "smart average"
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// min: 12345
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// max: 12780
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// output: 12500
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let mut ret_str = [0; NUM_DECIMALS];
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// Select the common prefix:
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let mut i = 0;
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while i < NUM_DECIMALS && max_str[i] == min_str[i] {
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ret_str[i] = max_str[i];
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i += 1;
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for i in 0..NUM_DECIMALS {
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if min_str[i] == max_str[i] {
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ret_str[i] = min_str[i];
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} else {
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// Found the deciding digit at index `i`
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let mut deciding_digit_min = min_str[i];
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let deciding_digit_max = max_str[i];
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debug_assert!(
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deciding_digit_min < deciding_digit_max,
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"Bug in smart aim code"
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);
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let rest_of_min_is_zeroes = min_str[i + 1..].iter().all(|&c| c == 0);
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if !rest_of_min_is_zeroes {
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// There are more digits coming after `deciding_digit_min`, so we cannot pick it.
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// So the true min of what we can pick is one greater:
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deciding_digit_min += 1;
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}
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let deciding_digit = if deciding_digit_min == 0 {
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0
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} else if deciding_digit_min <= 5 && 5 <= deciding_digit_max {
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5 // 5 is the roundest number in the range
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} else {
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deciding_digit_min.midpoint(deciding_digit_max)
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};
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ret_str[i] = deciding_digit;
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return from_decimal_string(ret_str) as f64 / scale_factor;
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}
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}
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if i < NUM_DECIMALS {
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// Pick the deciding digit.
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// Note that "to_decimal_string" rounds down, so we that's why we add 1 here
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ret_str[i] = simplest_digit_closed_range(min_str[i] + 1, max_str[i]);
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}
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from_decimal_string(&ret_str) * exp_factor
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min // All digits are the same. Already handled earlier, but better safe than sorry
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}
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fn is_integer(f: f64) -> bool {
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f.round() == f
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}
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fn to_decimal_string(v: f64) -> [i32; NUM_DECIMALS] {
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debug_assert!(v < 10.0, "{v:?}");
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let mut digits = [0; NUM_DECIMALS];
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let mut v = v.abs();
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for r in &mut digits {
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let digit = v.floor();
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*r = digit as i32;
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v -= digit;
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v *= 10.0;
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}
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digits
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}
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fn from_decimal_string(s: &[i32]) -> f64 {
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let mut ret: f64 = 0.0;
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for (i, &digit) in s.iter().enumerate() {
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ret += (digit as f64) * 10.0_f64.powi(-(i as i32));
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fn to_decimal_string(v: u64) -> [u8; NUM_DECIMALS] {
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let mut ret = [0; NUM_DECIMALS];
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let mut value = v;
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for i in (0..NUM_DECIMALS).rev() {
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ret[i] = (value % 10) as u8;
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value /= 10;
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}
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ret
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}
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/// Find the simplest integer in the range [min, max]
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fn simplest_digit_closed_range(min: i32, max: i32) -> i32 {
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debug_assert!(
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1 <= min && min <= max && max <= 9,
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"min should be in [1, 9], but was {min:?} and max should be in [min, 9], but was {max:?}"
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);
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if min <= 5 && 5 <= max {
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5
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} else {
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min.midpoint(max)
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fn from_decimal_string(s: [u8; NUM_DECIMALS]) -> u64 {
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let mut value = 0;
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for &c in &s {
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debug_assert!(c <= 9, "Bad number");
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value = value * 10 + c as u64;
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}
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value
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}
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#[expect(clippy::approx_constant)]
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@ -161,4 +184,53 @@ fn test_aim() {
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assert_eq!(best_in_range_f64(NEG_INFINITY, NEG_INFINITY), NEG_INFINITY);
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assert_eq!(best_in_range_f64(NEG_INFINITY, INFINITY), 0.0);
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assert_eq!(best_in_range_f64(INFINITY, NEG_INFINITY), 0.0);
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#[track_caller]
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fn test_f64((min, max): (f64, f64), expected: f64) {
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let aimed = best_in_range_f64(min, max);
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assert!(
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aimed == expected,
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"smart_aim({min} – {max}) => {aimed}, but expected {expected}"
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);
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}
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#[track_caller]
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fn test_i64((min, max): (i64, i64), expected: i64) {
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let aimed = best_in_range_f64(min as _, max as _);
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assert!(
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aimed == expected as f64,
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"smart_aim({min} – {max}) => {aimed}, but expected {expected}"
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);
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}
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test_i64((99, 300), 100);
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test_i64((300, 99), 100);
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test_i64((-99, -300), -100);
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test_i64((-99, 123), 0); // Prefer zero
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test_i64((4, 9), 5); // Prefer ending on 5
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test_i64((14, 19), 15); // Prefer ending on 5
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test_i64((12, 65), 50); // Prefer leading 5
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test_i64((493, 879), 500); // Prefer leading 5
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test_i64((37, 48), 40);
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test_i64((100, 123), 100);
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test_i64((101, 1000), 1000);
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test_i64((999, 1000), 1000);
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test_i64((123, 500), 500);
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test_i64((500, 777), 500);
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test_i64((500, 999), 500);
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test_i64((12345, 12780), 12500);
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test_i64((12371, 12376), 12375);
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test_i64((12371, 12376), 12375);
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test_f64((7.5, 16.3), 10.0);
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test_f64((7.5, 76.3), 10.0);
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test_f64((7.5, 763.3), 100.0);
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test_f64((7.5, 1_345.0), 100.0); // Geometric mean
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test_f64((7.5, 123_456.0), 1_000.0); // Geometric mean
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test_f64((-0.2, 0.0), 0.0); // Prefer zero
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test_f64((-10_004.23, 4.14), 0.0); // Prefer zero
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test_f64((-0.2, 100.0), 0.0); // Prefer zero
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test_f64((0.2, 0.0), 0.0); // Prefer zero
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test_f64((7.8, 17.8), 10.0);
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test_f64((14.1, 19.1), 15.0); // Prefer ending on 5
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test_f64((12.3, 65.9), 50.0); // Prefer leading 5
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}
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