Skip to main content

Rampant on the Tracks's Track generation logic, leveraging Voronout and optimized for a web service.

Project description

RampantTrackGeneration is..

.. the Track generation logic for Rampant on the Tracks.

The logic is invoked by calling

@staticmethod
def generateTrack(
    diagramWidth: int,
    diagramHeight: int,
    numDiagramRegions: int,
    diagramEdgePercentageToProcess: float, 
    newConnectionAngleMinQuantile: float, 
    lonelyConnectionMinLengthQuantile: float, 
    connectionLengthVertexPadding: float, 
    connectionLengthNodeBuffer: float
) -> Track:

in TrackGenerator.

Track

@dataclass(frozen=True)
class Track:
    nodes: dict[uuid4, Point]
    stops: dict[uuid4, tuple[Point]]
    edges: dict[uuid4, EdgeVertexInfo]

describes a set of edges, each a connection between two Points. nodes are the Points - stops are intervals on each edge, a gameplay mechanic that'll be elaborated later.

generateTrack derives the Track from a randomly generated Voronoi diagram.

It preserves the organic appeal of the diagram's shape - connectivity of varying lengths between unevenly spaced points - and goes on to enhance that by removing a subset of the smallest edges, replacing them with longer " reconnections ". The reconnections' intersections with other edges are calculated. Intersections that could be removed without newly isolating either of the involved Points are removed - this, and further trimming, increase the variance of the resulting Track's shape and its appeal in both visual and gameplay terms.

It uses Voronout to generate the diagram and networkX to model the diagram's transformation into a Track.

RampantTrackGeneration works by..

.. doing the following:

  • generating #numDiagramRegions Voronoi diagram sites (0 <= x <= diagramWidth, 0 <= y <= diagramHeight)
  • generating the Voronoi diagram
  • using newConnectionAngleMinQuantile to calculate initialDiagramMinAcceptableAngle, the minimum angle any new reconnection should make with any of the edges at either of its vertices
    • rejecting any reconnection that does not satisfy that constraint minimizes the probability of getting Track edges that make awkwardly small angles with other edges
  • reconnecting diagramEdgePercentageToProcess * 100% of the smallest edges in the diagram
  • removing all intersection edges created by reconnection that can be safely removed
  • removing all " lonely " edges (ones where one vertex is only connected to that edge) with length <= lonelyConnectionMinLengthQuantile * 100% of all edge lengths
  • adjusting all edges with length < minEdgeAdjustLength, either..
    • .. combining them with another collinear edge such that the combination would make the longest edge possible
    • .. deleting the edge, reconnecting all edges involving the vertex with the fewest neighbors to the other vertex
  • placing Stops on the remaining edges
    • to avoid the awkwardness of placing on " too small edges ", we only place on edges whose length is greater than (connectionLengthVertexPadding + connectionLengthNodeBuffer) * 100% of edges
    • to space Stops organically on an edge, we place them at least connectionLengthVertexPadding * 100% of the edge length away from either of points - and make the distance between each Stop at least connectionLengthNodeBuffer * 100% of the edge length

The resulting enhancement can be seen in the below illustration of Voronoi diagram -> Track:

GIF visualizing TrackGeneration.generateTrack()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rampanttrackgeneration-0.0.1.2.1.tar.gz (3.9 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rampanttrackgeneration-0.0.1.2.1-py3-none-any.whl (16.0 kB view details)

Uploaded Python 3

File details

Details for the file rampanttrackgeneration-0.0.1.2.1.tar.gz.

File metadata

File hashes

Hashes for rampanttrackgeneration-0.0.1.2.1.tar.gz
Algorithm Hash digest
SHA256 193e5d1f52ca5b4e0af3c61dbb70873b24be1246b85093f1088f7a875e98a98a
MD5 f3ba79b5c07fac5792aaf29477d35bd6
BLAKE2b-256 6ced30cd3e79440cc9ea3070e51c726c2a6413f2062b0e66c729ac7a4486932b

See more details on using hashes here.

File details

Details for the file rampanttrackgeneration-0.0.1.2.1-py3-none-any.whl.

File metadata

File hashes

Hashes for rampanttrackgeneration-0.0.1.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 221204f0677753e7743aac2cf442106a0a2f9699382458562bd1df493d882245
MD5 e8bc87792a0220fb12546cfc2e0ce60c
BLAKE2b-256 7a5df89f7452d5bcc93db324584a83b415e094ca7fa3b74ba04a14ad378991bf

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page