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Avid29Avid29
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Improved AccentAnalyzer code quality
1 parent 08f0b14 commit 7f02a15

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3 files changed

+241
-161
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3 files changed

+241
-161
lines changed

‎components/AccentAnalyzer/src/AccentAnalyzer.Clustering.cs‎

Lines changed: 105 additions & 83 deletions
Original file line numberDiff line numberDiff line change
@@ -14,21 +14,11 @@ private static Vector3[] KMeansCluster(Span<Vector3> points, int k, out int[] co
1414
int[] clusterIds = new int[points.Length];
1515

1616
// Track the centroids of each cluster and its member count
17-
// TODO: stackalloc is great here, but pooling should be thresholded
18-
// just in case
1917
Span<Vector3> centroids = stackalloc Vector3[k];
2018
counts = new int[k];
21-
19+
2220
// Split the points into arbitrary clusters
23-
// NOTE: Can this be rearranged to converge faster?
24-
#if NET6_0_OR_GREATER
25-
var offset = Random.Shared.Next(k); // Mathematically true random sampling
26-
#else
27-
var rand = new Random();
28-
var offset = rand.Next(k);
29-
#endif
30-
for (int i = 0; i < clusterIds.Length; i++)
31-
clusterIds[i] = (i + offset) % k;
21+
Split(k, clusterIds);
3222

3323
bool converged = false;
3424
while (!converged)
@@ -37,83 +27,16 @@ private static Vector3[] KMeansCluster(Span<Vector3> points, int k, out int[] co
3727
// to false when adjust the clusters
3828
converged = true;
3929

40-
// KMeans Loop Step 1:
41-
// Calculate/Recalculate the centroids of each cluster
42-
43-
// Clear centroids and counts before recalculation
44-
for(int i = 0; i < centroids.Length; i++)
45-
{
46-
centroids[i] = Vector3.Zero;
47-
counts[i] = 0;
48-
}
49-
50-
// Accumulate step in centroid calculation
51-
for(int i = 0; i < clusterIds.Length; i++)
52-
{
53-
int id = clusterIds[i];
54-
centroids[id] += points[i];
55-
counts[id]++;
56-
}
30+
// Calculate/Recalculate centroids
31+
CalculateCentroidsAndPrune(ref centroids, ref counts, points, clusterIds);
5732

58-
// Prune empty clusters
59-
// All empty clusters are swapped to the end of the span
60-
// then a slice is taken with only the remaining populated clusters
61-
int pivot = counts.Length;
62-
for (int i = 0; i < pivot;)
63-
{
64-
// Increment and continue if populated
65-
if (counts[i] != 0)
66-
{
67-
i++;
68-
continue;
69-
}
70-
71-
// The item is not populated. Swap to end and move pivot
72-
// NOTE: This is a oneway swap. We're discarding the 0 anyways.
73-
pivot--;
74-
counts[i] = counts[pivot];
75-
}
76-
77-
#if !WINDOWS_UWP
78-
counts = counts[..pivot];
79-
centroids = centroids[..pivot];
80-
#elif WINDOWS_UWP
81-
Array.Resize(ref counts, pivot);
82-
centroids = centroids.Slice(0, pivot);
83-
#endif
84-
85-
// Division step in centroid calculation
86-
for (int i = 0; i < centroids.Length; i++)
87-
centroids[i] /= counts[i];
88-
89-
// KMeans Loop Step 2:
9033
// Move each point's clusterId to the nearest cluster centroid
9134
for (int i = 0; i < points.Length; i++)
9235
{
93-
Vector3 point = points[i];
94-
var oldId = clusterIds[i];
95-
96-
// Track the nearest centroid's distance and the index of that centroid
97-
float nearestDistance = float.PositiveInfinity;
98-
int nearestIndex = -1;
99-
100-
for (int j = 0; j < centroids.Length; j++)
101-
{
102-
// Compare the point to the jth centroid
103-
float distance = Vector3.DistanceSquared(point, centroids[j]);
104-
105-
// Skip the cluster if further than the nearest seen cluster
106-
if (nearestDistance < distance)
107-
continue;
108-
109-
// This is the nearest cluster
110-
// Update the distance and index
111-
nearestDistance = distance;
112-
nearestIndex = j;
113-
}
36+
var nearestIndex = FindNearestClusterIndex(points[i], centroids);
11437

11538
// The nearest cluster hasn't changed. Do nothing
116-
if (oldId == nearestIndex)
39+
if (clusterIds[i] == nearestIndex)
11740
continue;
11841

11942
// Update the cluster id and note that we have not converged
@@ -125,6 +48,105 @@ private static Vector3[] KMeansCluster(Span<Vector3> points, int k, out int[] co
12548
return centroids.ToArray();
12649
}
12750

51+
/// <summary>
52+
/// Assigns arbitrary clusterIds for each point
53+
/// </summary>
54+
private static void Split(int k, int[] clusterIds)
55+
{
56+
// Mathematically true random sampling
57+
#if NET6_0_OR_GREATER
58+
var offset = Random.Shared.Next(k);
59+
#else
60+
var rand = new Random();
61+
var offset = rand.Next(k);
62+
#endif
63+
64+
// Assign each clusters id
65+
for (int i = 0; i < clusterIds.Length; i++)
66+
clusterIds[i] = (i + offset) % k;
67+
}
68+
69+
/// <summary>
70+
/// Calculates the centroid of each cluster, and prunes empty clusters.
71+
/// </summary>
72+
private static void CalculateCentroidsAndPrune(ref Span<Vector3> centroids, ref int[] counts, Span<Vector3> points, int[] clusterIds)
73+
{
74+
// Clear centroids and counts before recalculation
75+
for (int i = 0; i < centroids.Length; i++)
76+
{
77+
centroids[i] = Vector3.Zero;
78+
counts[i] = 0;
79+
}
80+
81+
// Accumulate step in centroid calculation
82+
for (int i = 0; i < clusterIds.Length; i++)
83+
{
84+
int id = clusterIds[i];
85+
centroids[id] += points[i];
86+
counts[id]++;
87+
}
88+
89+
// Prune empty clusters
90+
// All empty clusters are swapped to the end of the span
91+
// then a slice is taken with only the remaining populated clusters
92+
int pivot = counts.Length;
93+
for (int i = 0; i < pivot;)
94+
{
95+
// Increment and continue if populated
96+
if (counts[i] != 0)
97+
{
98+
i++;
99+
continue;
100+
}
101+
102+
// The item is not populated. Swap to end and move pivot
103+
// NOTE: This is a one-way "swap". We're discarding the 0s anyways.
104+
pivot--;
105+
centroids[i] = centroids[pivot];
106+
counts[i] = counts[pivot];
107+
}
108+
109+
// Perform slice
110+
#if !WINDOWS_UWP
111+
counts = counts[..pivot];
112+
centroids = centroids[..pivot];
113+
#elif WINDOWS_UWP
114+
Array.Resize(ref counts, pivot);
115+
centroids = centroids.Slice(0, pivot);
116+
#endif
117+
118+
// Division step in centroid calculation
119+
for (int i = 0; i < centroids.Length; i++)
120+
centroids[i] /= counts[i];
121+
}
122+
123+
/// <summary>
124+
/// Finds the index of the centroid nearest the point
125+
/// </summary>
126+
private static int FindNearestClusterIndex(Vector3 point, Span<Vector3> centroids)
127+
{
128+
// Track the nearest centroid's distance and the index of that centroid
129+
float nearestDistance = float.PositiveInfinity;
130+
int nearestIndex = -1;
131+
132+
for (int j = 0; j < centroids.Length; j++)
133+
{
134+
// Compare the point to the jth centroid
135+
float distance = Vector3.DistanceSquared(point, centroids[j]);
136+
137+
// Skip the cluster if further than the nearest seen cluster
138+
if (nearestDistance < distance)
139+
continue;
140+
141+
// This is the nearest cluster
142+
// Update the distance and index
143+
nearestDistance = distance;
144+
nearestIndex = j;
145+
}
146+
147+
return nearestIndex;
148+
}
149+
128150
private static float FindColorfulness(Vector3 color)
129151
{
130152
var rg = color.X - color.Y;

‎components/AccentAnalyzer/src/AccentAnalyzer.Properties.cs‎

Lines changed: 7 additions & 12 deletions
Original file line numberDiff line numberDiff line change
@@ -5,10 +5,7 @@
55
using System.Windows.Input;
66
using Windows.UI;
77

8-
#if !WINDOWS_UWP
9-
using Microsoft.UI;
10-
using Microsoft.UI.Dispatching;
11-
#elif WINDOWS_UWP
8+
#if !WINAPPSDK
129
using Windows.System;
1310
#endif
1411

@@ -141,6 +138,12 @@ public UIElement? Source
141138
get => _source;
142139
set => SetSource(value);
143140
}
141+
142+
private void SetSource(UIElement? source)
143+
{
144+
_source = source;
145+
_ = UpdateAccentAsync();
146+
}
144147

145148
private void UpdateAccentProperties(Color primary, Color secondary, Color tertiary, Color baseColor, Color dominantColor, float colorfulness)
146149
{
@@ -154,12 +157,4 @@ private void UpdateAccentProperties(Color primary, Color secondary, Color tertia
154157
Colorfulness = colorfulness;
155158
});
156159
}
157-
158-
private void SetSource(UIElement? source)
159-
{
160-
_source = source;
161-
162-
// If true, calculate the accent color immediately.
163-
_ = UpdateAccentAsync();
164-
}
165160
}

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