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use uniform distribution sampling

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This commit is contained in:
Pascal Seitz
2021-06-08 11:53:59 +02:00
parent 0ba05df545
commit 6a4883ac69
1 changed files with 4 additions and 9 deletions
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13
fastfield_codecs/src/linearinterpol.rs
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@@ -170,16 +170,11 @@ impl FastFieldSerializerEstimate for LinearInterpolFastFieldSerializer {
let last_val = fastfield_accessor.get(stats.num_vals as u32 - 1);
let slope = get_slope(first_val, last_val, stats.num_vals);
// let's sample at 10%, 20%, 25%, 50%, 75%, 90%
// let's sample at 0%, 5%, 10% .. 95%, 100%
let num_vals = stats.num_vals as f32 / 100.0;
let sample_positions = [
(num_vals * 10.0) as usize,
(num_vals * 20.0) as usize,
(num_vals * 25.0) as usize,
(num_vals * 50.0) as usize,
(num_vals * 75.0) as usize,
(num_vals * 90.0) as usize,
];
let sample_positions = (0..20)
.map(|pos| (num_vals * pos as f32 * 5.0) as usize)
.collect::<Vec<_>>();
let max_distance = sample_positions
.iter()