Minor comment changes

Sources/SwiftNLP/1. Data Collection/HNSWCorpus.swift

@@ -27,7 +27,7 @@ import PriorityHeapAlgorithms
 import SimilarityMetric
 import HNSWAlgorithm
 import HNSWEphemeral
-import GameplayKit /// Not avaliable on Linux?
+import GameplayKit // Not avaliable on Linux? - try to change to other random
 
 
 class HNSWCorpus<Scalar: BinaryFloatingPoint & Codable>: SNLPCorpus {
@@ -36,9 +36,11 @@ class HNSWCorpus<Scalar: BinaryFloatingPoint & Codable>: SNLPCorpus {
     var zeroes: [Scalar]
     var count: Int { 0 }
 
-    /// typicalNeighbourhoodSize = 20 is a standard benchmark
+    // typicalNeighbourhoodSize = 20 is a standard benchmark
     var encodedDocuments: DeterministicSampleVectorIndex = DeterministicSampleVectorIndex<[Scalar]>(typicalNeighborhoodSize: 20)
     
+    // Map from Key to documentId - similar to DictionaryCorpus
+    
     init(_documentEncoder: ContextFreeEncoder<Scalar>) {
         self._documentEncoder = _documentEncoder
         zeroes = Array(repeating: Scalar(0), count: 384)
@@ -46,15 +48,13 @@ class HNSWCorpus<Scalar: BinaryFloatingPoint & Codable>: SNLPCorpus {
     
     @inlinable
     func addUntokenizedDocument(_ document: String) {
-        /// Forced cast to [Scalar] is unnecessary
-        encodedDocuments.insert((_documentEncoder.encodeSentence(document)))
+        encodedDocuments.insert((_documentEncoder.encodeSentence(document))) /// as! [Scalar] not needed
     }
 }
 
 
 public struct DeterministicSampleVectorIndex<Vector: Collection & Codable> where Vector.Element: BinaryFloatingPoint {
     
-    /// EmphermalVectorIndex<Key: BinaryInteger, Level: BinaryInteger, Metric: SimilarityMetric, Metadata>
     public typealias Index = EphemeralVectorIndex<Int, Int, CartesianDistanceMetric<Vector>, Void>
     public var base: Index
     
@@ -78,8 +78,7 @@ public struct DeterministicSampleVectorIndex<Vector: Collection & Codable> where
     public mutating func insert(_ vector: Vector) {
         let convertedVector: [Double] = vector.map{ Double($0) }
         if let metricVector = convertedVector as? CartesianDistanceMetric<Vector>.Vector {
-            /// Returns a Key (unused)
-            base.insert(metricVector, using: &graphRNG)
+            base.insert(metricVector, using: &graphRNG) /// returns an unused 'Key' type
         } else {
             fatalError("Unable to get metric vector")
         }
@@ -97,6 +96,7 @@ public struct CartesianDistanceMetric<Vector: Collection & Codable>: SimilarityM
 }
 
 struct DeterministicRandomNumberGenerator: RandomNumberGenerator {
+    // Try another package for this...
     private let randomSource: GKMersenneTwisterRandomSource
 
     init(seed: UInt64) {