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Random World Biome Transition Graph Generator

Assign invented biomes to a supplied cell graph with symmetric caller compatibility and required coverage through bounded nonuniform search; illustrative labels, not ecology.

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Description

Assign invented biomes to a supplied cell graph with symmetric caller compatibility and required coverage through bounded nonuniform search; illustrative labels, not ecology.

Worldbuilding fixtures describe an invented setting through supplied entities and explicit relations. A reproducible arrangement can support games or writing exercises while keeping constructed history and geography separate from factual claims about the real world.

Assign invented biomes to a supplied cell graph with symmetric caller compatibility and required coverage through bounded nonuniform search; illustrative labels, not ecology.

When to use this tool

Use this generator to create reproducible world biome transition graph cases from the supplied model or bank. Inspect the returned evidence before using cases in a test or exercise.

How to use the tool and how it works

  1. Supply cellIds, edges, biomeIds, compatiblePairs, requiredBiomeIds in the field shapes below. Set seed when you need an explicit replay.
  2. Run the tool and correct any input error. For generated controls, distinguish a successful fixture containing an invalid case from failure to generate the fixture.
  3. Read cells, transitions, componentCount, fictional. Use the conventions below and keep answer-bearing fields separate when presenting an exercise.

Assign a supplied biome label to each cell using bounded randomized backtracking. Treat caller compatibility pairs symmetrically on graph edges, prune assignments that cannot cover the still-required biomes, and report each edge’s two labels and overall component count.1

Input fieldMeaning and unitsAccepted input
cellIdsCell IdsRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 1; maximum items 12.
edgesEdgesRequired. Array of Object; no unknown keys.; minimum items 0; maximum items 64.
edges[].fromFromRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
edges[].toToRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
biomeIdsBiome IdsRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 1; maximum items 8.
compatiblePairsCompatible PairsRequired. Array of Object; no unknown keys.; minimum items 0; maximum items 36.
compatiblePairs[].fromFromRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
compatiblePairs[].toToRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
requiredBiomeIdsRequired Biome IdsRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 0; maximum items 8.
seedOptional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.Optional. Safe integer.
Output fieldInterpretationReturned shape
cellsCellsRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 12.
cells[].idLiteral identifier used to match records, independently of their display labels.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
cells[].biomeIdBiome IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
transitionsTransitionsRequired. Array of Object; no unknown keys.; minimum items 0; maximum items 64.
transitions[].fromFromRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
transitions[].toToRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
transitions[].fromBiomeFrom BiomeRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
transitions[].toBiomeTo BiomeRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
componentCountComponent CountRequired. Safe integer; minimum 1; maximum 12.
fictionalFictionalRequired. Boolean; exactly true.
randomnessReplay metadata: source is seed or context; seed is the normalized 32-bit seed or null for a context source.Required. Object; no unknown keys.
randomness.seedOptional numeric replay seed; normalization and precedence are explained below.Required. Safe integer. or Null.
randomness.sourceSourceRequired. Text; one of "context", "seed".

An explicit safe-integer seed takes precedence over injected context randomness and is normalized to an unsigned 32-bit integer. With no seed and no context source, replay uses the fixed tool.io default seed. A context source must return finite values from zero inclusive to one exclusive; its advancing state must be retained separately. randomness records the source and normalized seed, or null for context. These generators are not cryptographic random sources.

json
{
  "input": {
    "cellIds": [
      "a",
      "b",
      "c"
    ],
    "edges": [
      {
        "from": "a",
        "to": "b"
      },
      {
        "from": "b",
        "to": "c"
      }
    ],
    "biomeIds": [
      "moss",
      "dune"
    ],
    "compatiblePairs": [
      {
        "from": "moss",
        "to": "dune"
      }
    ],
    "requiredBiomeIds": [
      "moss",
      "dune"
    ],
    "seed": 42
  },
  "output": {
    "cells": [
      {
        "id": "a",
        "biomeId": "moss"
      },
      {
        "id": "b",
        "biomeId": "dune"
      },
      {
        "id": "c",
        "biomeId": "moss"
      }
    ],
    "transitions": [
      {
        "from": "a",
        "to": "b",
        "fromBiome": "moss",
        "toBiome": "dune"
      },
      {
        "from": "b",
        "to": "c",
        "fromBiome": "dune",
        "toBiome": "moss"
      }
    ],
    "componentCount": 1,
    "fictional": true,
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

  • These are invented labels on an explicit graph, not an ecological suitability model. Feasible labelings are not uniformly sampled and required coverage can make the instance infeasible.
  • A replay requires the same complete input and implementation. Randomized construction does not guarantee uniform coverage of every feasible output; finite samples can repeat unless a distinct-selection rule is explicitly stated.
  • The field tables state structural bounds; cross-field constraints and bounded search or output budgets also apply. Unknown keys are rejected where the object contract disallows them. Input errors are distinct from null fields and deliberate invalid controls in a successful output.

Alternative or Complementary methods

For a supplied example, inspect the returned construction or delegated check directly. To evaluate a consumer, also test cases chosen for its own boundaries; a generated finite corpus does not establish exhaustive coverage.

References

  1. Tool behavior and example: Random World Biome Transition Graph Generator — tool.io

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