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Don't run block code in doc tests of word_pair_proximity_docids

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Loïc Lecrenier 2022-07-19 08:52:01 +02:00
parent f6f8f543e1
commit 7309111433
1 changed files with 8 additions and 8 deletions
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milli/src/update/word_prefix_pair_proximity_docids.rs
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@ -12,7 +12,7 @@ different words in the documents.
To compute it, we have access to (mainly) two inputs: To compute it, we have access to (mainly) two inputs:
* a list of sorted prefixes, such as: * a list of sorted prefixes, such as:
``` ```text
c c
ca ca
cat cat
@ -25,7 +25,7 @@ different words from the database are included in this list.
* a sorted list of word pairs and the distance between them (i.e. proximity), * a sorted list of word pairs and the distance between them (i.e. proximity),
* associated with a roaring bitmap, such as: * associated with a roaring bitmap, such as:
``` ```text
good dog 3 -> docids1: [2, 5, 6] good dog 3 -> docids1: [2, 5, 6]
good doggo 1 -> docids2: [8] good doggo 1 -> docids2: [8]
good dogma 1 -> docids3: [7, 19, 20] good dogma 1 -> docids3: [7, 19, 20]
@ -37,7 +37,7 @@ I illustrate a simplified version of the algorithm to create the word-prefix
pair-proximity database below: pair-proximity database below:
1. **Outer loop:** First, we iterate over each word pair and its proximity: 1. **Outer loop:** First, we iterate over each word pair and its proximity:
``` ```text
word1 : good word1 : good
word2 : dog word2 : dog
proximity: 3 proximity: 3
@ -46,7 +46,7 @@ proximity: 3
in the list of sorted prefixes. And we insert the key (`prefix`, `proximity`) in the list of sorted prefixes. And we insert the key (`prefix`, `proximity`)
and the value (`docids`) to a sorted map which we call the “batch”. For example, and the value (`docids`) to a sorted map which we call the “batch”. For example,
at the end of the first inner loop, we may have: at the end of the first inner loop, we may have:
``` ```text
Outer loop 1: Outer loop 1:
------------------------------ ------------------------------
word1 : good word1 : good
@ -63,7 +63,7 @@ batch: [
] ]
``` ```
3. For illustration purpose, let's run through a second iteration of the outer loop: 3. For illustration purpose, let's run through a second iteration of the outer loop:
``` ```text
Outer loop 2: Outer loop 2:
------------------------------ ------------------------------
word1 : good word1 : good
@ -87,7 +87,7 @@ of the elements inserted in the second iteration of the outer loop appear
*before* elements from the first iteration. *before* elements from the first iteration.
4. And a third: 4. And a third:
``` ```text
Outer loop 3: Outer loop 3:
------------------------------ ------------------------------
word1 : good word1 : good
@ -110,7 +110,7 @@ Notice that there were some conflicts which were resolved by merging the
conflicting values together. conflicting values together.
5. On the fourth iteration of the outer loop, we have: 5. On the fourth iteration of the outer loop, we have:
``` ```text
Outer loop 4: Outer loop 4:
------------------------------ ------------------------------
word1 : good word1 : good
@ -131,7 +131,7 @@ is different than the previous `word1`.
6. **Flushing the batch:** to flush the batch, we look at the `word1` and 6. **Flushing the batch:** to flush the batch, we look at the `word1` and
iterate over the elements of the batch in sorted order: iterate over the elements of the batch in sorted order:
``` ```text
Flushing Batch loop 1: Flushing Batch loop 1:
------------------------------ ------------------------------
word1 : good word1 : good