Move the words pairs proximities average into the stats infos subcommand

This commit is contained in:
Clément Renault 2020-09-30 20:12:46 +02:00
parent 30755e31e7
commit ac84db2506
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@ -85,11 +85,8 @@ enum Command {
/// Outputs the average number of positions for each document words.
AverageNumberOfPositionsByWord,
/// Outputs the average number of documents for each words pair.
AverageNumberOfDocumentByWordPairProximity,
/// Outputs some statistics about the words pairs proximities
/// (median, quartiles, percentiles, min, max).
/// (median, quartiles, percentiles, minimum, maximum, averge).
WordPairProximityStats,
/// Outputs the size in bytes of the specified database.
@ -155,9 +152,6 @@ fn main() -> anyhow::Result<()> {
average_number_of_positions_by_word(&index, &rtxn)
},
SizeOfDatabase { database } => size_of_database(&index, &rtxn, &database),
AverageNumberOfDocumentByWordPairProximity => {
average_number_of_document_by_word_pair_proximity(&index, &rtxn)
},
WordPairProximityStats => word_pair_proximity_stats(&index, &rtxn),
WordPairProximitiesDocids { full_display, word1, word2 } => {
word_pair_proximities_docids(&index, &rtxn, !full_display, word1, word2)
@ -389,31 +383,6 @@ fn size_of_database(index: &Index, rtxn: &heed::RoTxn, name: &str) -> anyhow::Re
Ok(())
}
fn average_number_of_document_by_word_pair_proximity(
index: &Index,
rtxn: &heed::RoTxn,
) -> anyhow::Result<()>
{
use heed::types::DecodeIgnore;
use milli::RoaringBitmapCodec;
let mut values_length_sum = 0;
let mut count = 0;
let db = index.word_pair_proximity_docids.as_polymorph();
for result in db.iter::<_, DecodeIgnore, RoaringBitmapCodec>(rtxn)? {
let ((), val) = result?;
values_length_sum += val.len() as u64;
count += 1;
}
let values_length_sum = values_length_sum as f64;
let count = count as f64;
println!("average number of documents by words pairs proximities: {}", values_length_sum / count);
Ok(())
}
fn word_pair_proximity_stats(index: &Index, rtxn: &heed::RoTxn) -> anyhow::Result<()> {
use heed::types::DecodeIgnore;
use milli::RoaringBitmapCodec;
@ -437,8 +406,9 @@ fn word_pair_proximity_stats(index: &Index, rtxn: &heed::RoTxn) -> anyhow::Resul
let minimum = values_length.first().unwrap_or(&0);
let maximum = values_length.last().unwrap_or(&0);
let count = values_length.len();
let sum = values_length.iter().map(|l| *l as u64).sum::<u64>();
println!("words pairs proximities stats");
println!("words pairs proximities stats on the lengths");
println!("\tnumber of proximity pairs: {}", count);
println!("\tfirst quartile: {}", first_quartile);
println!("\tmedian: {}", median);
@ -448,6 +418,7 @@ fn word_pair_proximity_stats(index: &Index, rtxn: &heed::RoTxn) -> anyhow::Resul
println!("\t99th percentile: {}", ninety_nine_percentile);
println!("\tminimum: {}", minimum);
println!("\tmaximum: {}", maximum);
println!("\taverage: {}", sum as f64 / count as f64);
Ok(())
}