MultiHeaded models

README.md

@@ -220,6 +220,7 @@ Sources of examples:
 1. [SmoothTrail](models/SmoothTrail.xml) is adapted from [128_mhz's tweet](https://twitter.com/128_mhz/status/953847394403205120).
 1. [SokobanLevel1](models/SokobanLevel1.xml) seems to be the first level from Hiroyuki Imabayashi's Sokoban puzzle. [SokobanLevel2](models/SokobanLevel2.xml) is the [level 452](https://www.sokobanonline.com/play/web-archive/razorflame/ionic-catalysts-xi/58022_ionic-catalysts-xi-452) from Ionic Catalysts XI set.
 1. [RainbowGrowth](models/RainbowGrowth.xml) was [proposed](https://github.com/mxgmn/MarkovJunior/discussions/25) by [mure](https://github.com/mure).
+1. [MultiHeadedWalk](models/MultiHeadedWalk.xml), [MultiHeadedDungeon](models/MultiHeadedDungeon.xml) and [MultiHeadedWalkDungeon](models/MultiHeadedWalkDungeon.xml) are [based](https://github.com/mxgmn/MarkovJunior/discussions/38) on the idea by [Ilya Kudritsky](https://github.com/Inferdy).
 
 Voxel scenes were rendered in [MagicaVoxel](https://ephtracy.github.io/) by [ephtracy](https://github.com/ephtracy). Special thanks to [Brian Bucklew](https://github.com/unormal) for demonstrating the power of Dijkstra fields to me in roguelike level generation and [Kevin Chapelier](https://github.com/kchapelier) for a number of good suggestions. The font used in GUI is [Tamzen](https://github.com/sunaku/tamzen-font).
 

models.xml

@@ -85,6 +85,9 @@
   <model name="MazeMap" size="30"/>
   <model name="MazeTrail" size="59" steps="1000"/>
   <model name="MazeTrail" size="27" d="3" steps="1000"/>
+  <model name="MultiHeadedDungeon" size="55"/>
+  <model name="MultiHeadedWalk" size="99"/>
+  <model name="MultiHeadedWalkDungeon" size="59"/>
   <model name="NestedGrowth" size="80" steps="100"/>
   <model name="NoDeadEnds" size="39"/>
   <model name="NoDeadEnds" size="19" d="3"/>

models/MultiHeadedDungeon.xml

@@ -0,0 +1,18 @@
+<sequence values="BRWGO" origin="True">
+  <markov>
+    <sequence>
+      <one in="R***B" out="*WWWG" steps="3"/>
+      <all in="R" out="O"/>
+      <all in="G" out="R"/>
+    </sequence>
+  </markov>
+  <all in="BBB/BOB" out="***/*R*"/>
+  <all in="RBBBR" out="OWWWO"/>
+  <all in="R" out="O"/>
+  <all in="BBBBB/BOWWW/BBBBB" out="*****/*BBBB/*****"/>
+  <all in="OWWWO/W***W/W***W/W***W/OBBBO" out="*****/*****/*****/*****/*WWW*"/>
+  <all in="*******/*OWWWO*/*W***W*/*W*B*W*/*W***W*/*OWWWO*/*******" out="WWWWWWW/W*****W/W*WWW*W/W*WGW*W/W*WWW*W/W*****W/WWWWWWW"/>
+  <all in="O" out="W"/>
+  <prl in="GWWWG/WWWWW/WWWWW/WWWWW/GWWWG" out="BBBBB/BBBBB/BBBBB/BBBBB/BBBBB"/>
+  <all in="G" out="W"/>
+</sequence>

models/MultiHeadedWalk.xml

@@ -0,0 +1,7 @@
+<markov values="BRGW" origin="True">
+  <sequence>
+    <one in="RB" out="*G" steps="3"/>
+    <all in="R" out="W"/>
+    <all in="G" out="R"/>
+  </sequence>
+</markov>

models/MultiHeadedWalkDungeon.xml

@@ -0,0 +1,14 @@
+<sequence values="BRGW" origin="True">
+  <markov>
+    <sequence>
+      <one in="RBB" out="*WG" steps="3"/>
+      <all in="R" out="W"/>
+      <all in="G" out="R"/>
+    </sequence>
+  </markov>
+  <all in="BBB/BWB" out="***/*R*"/>
+  <all in="RBR" out="WWW"/>
+  <all in="R" out="W"/>
+  <all in="BBB/BWB" out="***/*B*"/>
+  <all in="WWW/WBW" out="***/*W*"/>
+</sequence>

syntax.md

@@ -48,9 +48,7 @@ See examples of union use in [DungeonGrowth](models/DungeonGrowth.xml).
 ## Inference
 Inference in MarkovJunior allows to impose constraints on the future state, and generate only those runs that lead to the constrained future. Inference is triggered by putting `observe` elements inside rulenodes (inside `one` or `all` nodes, to be precise). Observe elements have 3 attributes: `value`, `from`, `to`.
 
-For example, `<observe value="W" to="BR"/>` means that squares that are currently white should become black or red after a chain of rule applications.
-
-`<observe value="I" from="B" to="W"/>` means that squares that are currently indigo are turned black immediately, and then should become white after a chain of rule applications.
+For example, `<observe value="W" to="BR"/>` means that squares that are currently white should become black or red after a chain of rule applications. `<observe value="I" from="B" to="W"/>` means that squares that are currently indigo are turned black immediately, and then should become white after a chain of rule applications.
 
 In [SokobanLevel1](models/SokobanLevel1.xml) we say that the goal `I`-squares should become white - this would mean that the puzzle is solved. We also help the inference engine by explicitly saying that the current black, white and red squares should *not* be white in the end. Since we don't have `I` in the ruleset, we say that current indigo squares should be treated as black by setting `from="B"`.
 
@@ -92,6 +90,5 @@ See examples of `convchain` node use in [ChainMaze](models/ChainMaze.xml), [Chai
 
 
 ## Questions and Answers
-**Q:** How to make a loop? How to make a sequence repeat?
-
+**Q:** How to make a loop? How to make a sequence repeat?<br/>
 **A:** To make a sequence repeat, put a `sequence` node inside a `markov` node. Examples of this: [HamiltonianPath](models/HamiltonianPath.xml), [SelectLargeCaves](models/SelectLargeCaves.xml), [SelectLongKnots](models/SelectLongKnots.xml), [FireNoise](models/FireNoise.xml), [SmartSAW](models/SmartSAW.xml), [FindLongCycle](models/FindLongCycle.xml). Counters in markov/sequence nodes are not supported right now. Instead, you may want to repeat the sequence until some node is matched.