More color table updates

generate_color_table.py

@@ -74,3 +74,38 @@ for p in palettes:
         
 for c in all_colors:
     c.nn(all_colors)
+
+smallest_dist = 9999999999999
+largest_dist = 0
+for c in all_colors:
+    dist = rgbdist(c, c.nearest_neighbor)
+    if dist > largest_dist: largest_dist = dist
+    if dist < smallest_dist: smallest_dist = dist
+    #print(f"{c.prefix}:{c.name} -> {c.nearest_neighbor.prefix}:{c.nearest_neighbor.name}\t{rgbdist(c, c.nearest_neighbor):.2f}")
+# questions -
+
+# are there any colors where their nearest neighbor's nearest neighbor isn't them? (There should be)
+nonnear_pairs = 0
+for c in all_colors:
+    neighbor = c.nearest_neighbor
+    their_neighbor = neighbor.nearest_neighbor
+    if c is not their_neighbor:
+        #print(f"{c.prefix}:{c.name} -> {neighbor.prefix}:{neighbor.name} -> {their_neighbor.prefix}:{their_neighbor.name}")
+        nonnear_pairs += 1
+print("Non-near pairs:", nonnear_pairs)
+    #print(f"{c.prefix}:{c.name} -> {c.nearest_neighbor.prefix}:{c.nearest_neighbor.name}\t{rgbdist(c, c.nearest_neighbor):.2f}")
+
+# Are there duplicates? They should be removed from the palette that won't be used
+dupes = 0
+for c in all_colors:
+    for c2 in all_colors:
+        if c is c2: continue
+        if c.r == c2.r and c.g == c2.g and c.b == c2.b:
+            dupes += 1
+print("dupes:", dupes, "this many will need to be removed:", dupes / 2)
+
+# What order to put them in? Do we want large radiuses first, or some sort of "common color" table?
+
+# does manhattan distance change any answers over the 16.7M RGB values?
+
+# What's the worst case lookup? (Checking all 1200 colors to find the name?)