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https://github.com/meilisearch/MeiliSearch
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Add snapshot tests for indexing of word_prefix_pair_proximity_docids
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3a734af159
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6066256689
@ -190,17 +190,6 @@ pub fn documents_batch_reader_from_objects(
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DocumentsBatchReader::from_reader(std::io::Cursor::new(builder.into_inner().unwrap())).unwrap()
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}
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#[cfg(test)]
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pub fn batch_reader_from_documents(
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documents: &[Object],
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) -> DocumentsBatchReader<std::io::Cursor<Vec<u8>>> {
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let mut builder = DocumentsBatchBuilder::new(Vec::new());
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for object in documents {
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builder.append_json_object(&object).unwrap();
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}
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DocumentsBatchReader::from_reader(std::io::Cursor::new(builder.into_inner().unwrap())).unwrap()
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}
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#[cfg(test)]
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mod test {
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use std::io::Cursor;
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@ -347,7 +347,11 @@ fn write_string_entry(
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mod tests {
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use std::num::NonZeroUsize;
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use crate::{db_snap, documents::batch_reader_from_documents, index::tests::TempIndex};
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use crate::{
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db_snap,
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documents::{batch_reader_from_documents, documents_batch_reader_from_objects},
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index::tests::TempIndex,
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};
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#[test]
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fn test_facets_number() {
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@ -419,7 +423,7 @@ mod tests {
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serde_json::json!({ "facet2": format!("s{i:X}") }).as_object().unwrap().clone(),
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);
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}
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let documents = batch_reader_from_documents(&documents);
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let documents = documents_batch_reader_from_objects(documents);
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index.add_documents(documents).unwrap();
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@ -0,0 +1,46 @@
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---
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source: milli/src/update/word_prefix_pair_proximity_docids.rs
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---
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5 a 1 [101, ]
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5 a 2 [101, ]
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5 b 4 [101, ]
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5 be 4 [101, ]
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am a 3 [101, ]
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amazing a 1 [100, ]
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amazing a 2 [100, ]
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amazing a 3 [100, ]
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amazing b 2 [100, ]
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amazing be 2 [100, ]
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an a 1 [100, ]
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an a 2 [100, ]
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an b 3 [100, ]
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an be 3 [100, ]
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and a 2 [100, ]
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and a 3 [100, ]
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and a 4 [100, ]
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and b 1 [100, ]
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and be 1 [100, ]
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at a 1 [100, ]
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at a 2 [100, 101, ]
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at a 3 [100, ]
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at b 3 [101, ]
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at b 4 [100, ]
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at be 3 [101, ]
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at be 4 [100, ]
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beautiful a 2 [100, ]
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beautiful a 3 [100, ]
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beautiful a 4 [100, ]
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bell a 2 [101, ]
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bell a 4 [101, ]
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house a 3 [100, ]
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house a 4 [100, ]
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house b 2 [100, ]
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house be 2 [100, ]
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rings a 1 [101, ]
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rings a 3 [101, ]
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rings b 2 [101, ]
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rings be 2 [101, ]
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the a 3 [101, ]
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the b 1 [101, ]
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the be 1 [101, ]
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@ -0,0 +1,56 @@
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---
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source: milli/src/update/word_prefix_pair_proximity_docids.rs
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---
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5 a 1 [101, ]
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5 a 2 [101, ]
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5 am 1 [101, ]
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5 b 4 [101, ]
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5 be 4 [101, ]
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am a 3 [101, ]
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amazing a 1 [100, ]
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amazing a 2 [100, ]
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amazing a 3 [100, ]
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amazing b 2 [100, ]
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amazing be 2 [100, ]
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an a 1 [100, ]
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an a 2 [100, 202, ]
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an am 1 [100, ]
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an b 3 [100, ]
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an be 3 [100, ]
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and a 2 [100, ]
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and a 3 [100, ]
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and a 4 [100, ]
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and am 2 [100, ]
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and b 1 [100, ]
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and be 1 [100, ]
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at a 1 [100, 202, ]
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at a 2 [100, 101, ]
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at a 3 [100, ]
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at am 2 [100, 101, ]
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at b 3 [101, ]
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at b 4 [100, ]
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at be 3 [101, ]
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at be 4 [100, ]
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beautiful a 2 [100, ]
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beautiful a 3 [100, ]
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beautiful a 4 [100, ]
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beautiful am 3 [100, ]
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bell a 2 [101, ]
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bell a 4 [101, ]
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bell am 4 [101, ]
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extraordinary a 2 [202, ]
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extraordinary a 3 [202, ]
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house a 3 [100, 202, ]
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house a 4 [100, 202, ]
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house am 4 [100, ]
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house b 2 [100, ]
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house be 2 [100, ]
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rings a 1 [101, ]
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rings a 3 [101, ]
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rings am 3 [101, ]
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rings b 2 [101, ]
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rings be 2 [101, ]
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the a 3 [101, ]
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the b 1 [101, ]
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the be 1 [101, ]
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@ -244,3 +244,90 @@ fn insert_current_prefix_data_in_sorter<'a>(
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Ok(())
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}
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#[cfg(test)]
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mod tests {
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use std::io::Cursor;
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use crate::{
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db_snap,
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documents::{DocumentsBatchBuilder, DocumentsBatchReader},
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index::tests::TempIndex,
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};
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fn documents_with_enough_different_words_for_prefixes(prefixes: &[&str]) -> Vec<crate::Object> {
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let mut documents = Vec::new();
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for prefix in prefixes {
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for i in 0..50 {
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documents.push(
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serde_json::json!({
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"text": format!("{prefix}{i:x}"),
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})
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.as_object()
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.unwrap()
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.clone(),
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)
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}
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}
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documents
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}
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#[test]
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fn test_update() {
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let mut index = TempIndex::new();
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index.index_documents_config.words_prefix_threshold = Some(50);
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index.index_documents_config.autogenerate_docids = true;
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index
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.update_settings(|settings| {
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settings.set_searchable_fields(vec!["text".to_owned()]);
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})
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.unwrap();
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let batch_reader_from_documents = |documents| {
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let mut builder = DocumentsBatchBuilder::new(Vec::new());
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for object in documents {
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builder.append_json_object(&object).unwrap();
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}
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DocumentsBatchReader::from_reader(Cursor::new(builder.into_inner().unwrap())).unwrap()
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};
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let mut documents = documents_with_enough_different_words_for_prefixes(&["a", "be"]);
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// now we add some documents where the text should populate the word_prefix_pair_proximity_docids database
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documents.push(
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serde_json::json!({
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"text": "At an amazing and beautiful house"
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})
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.as_object()
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.unwrap()
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.clone(),
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);
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documents.push(
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serde_json::json!({
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"text": "The bell rings at 5 am"
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})
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.as_object()
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.unwrap()
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.clone(),
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);
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let documents = batch_reader_from_documents(documents);
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index.add_documents(documents).unwrap();
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db_snap!(index, word_prefix_pair_proximity_docids, "initial");
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let mut documents = documents_with_enough_different_words_for_prefixes(&["am", "an"]);
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documents.push(
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serde_json::json!({
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"text": "At an extraordinary house"
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})
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.as_object()
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.unwrap()
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.clone(),
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);
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let documents = batch_reader_from_documents(documents);
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index.add_documents(documents).unwrap();
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db_snap!(index, word_prefix_pair_proximity_docids, "update");
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}
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}
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