adding more

ann/src/main/java/com/twitter/ann/hnsw/DistancedItemQueue.java

@@ -18,7 +18,7 @@ public class DistancedItemQueue<U, T> implements Iterable<DistancedItem<T>> {
   private final PriorityQueue<DistancedItem<T>> queue;
   private final boolean minQueue;
   /**
-   * Creates ontainer for items with their distances.
+   * Creates container for items with their distances.
    *
    * @param origin Origin (reference) point
    * @param initial Initial list of elements to add in the structure
@@ -94,7 +94,7 @@ public class DistancedItemQueue<U, T> implements Iterable<DistancedItem<T>> {
   }
 
   /**
-   * Dequeue all the elements from queueu with ordering mantained
+   * Dequeue all the elements from queue with ordering maintained
    *
    * @return remove all the elements in the order of the queue i.e min/max queue.
    */

ann/src/main/scala/com/twitter/ann/brute_force/BruteForceIndex.scala

@@ -105,7 +105,7 @@ object SerializableBruteForceIndex {
 }
 
 /**
- * This is a class that wrapps a BruteForceIndex and provides a method for serialization.
+ * This is a class that wraps a BruteForceIndex and provides a method for serialization.
  *
   * @param bruteForceIndex all queries and updates are sent to this index.
  * @param embeddingInjection injection that can convert embeddings to thrift embeddings.

ann/src/main/scala/com/twitter/ann/hnsw/TypedHnswIndex.scala

@@ -18,7 +18,7 @@ object TypedHnswIndex {
    *                       construction, but better index quality. At some point, increasing
    *                       ef_construction does not improve the quality of the index. One way to
    *                       check if the selection of ef_construction was ok is to measure a recall
-   *                       for M nearest neighbor search when ef = ef_constuction: if the recall is
+   *                       for M nearest neighbour search when ef = ef_construction: if the recall is
    *                       lower than 0.9, than there is room for improvement.
    * @param maxM The number of bi-directional links created for every new element during construction.
    *             Reasonable range for M is 2-100. Higher M work better on datasets with high
@@ -64,7 +64,7 @@ object TypedHnswIndex {
    *                       construction, but better index quality. At some point, increasing
    *                       ef_construction does not improve the quality of the index. One way to
    *                       check if the selection of ef_construction was ok is to measure a recall
-   *                       for M nearest neighbor search when ef = ef_constuction: if the recall is
+   *                       for M nearest neighbour search when ef = ef_constuction: if the recall is
    *                       lower than 0.9, than there is room for improvement.
    * @param maxM The number of bi-directional links created for every new element during construction.
    *             Reasonable range for M is 2-100. Higher M work better on datasets with high