Random World Resource Deposit Layout Generator

Description

Place exact fictional resource quotas on a supplied cell graph under symmetric adjacency exclusions, reporting resource components; bounded nonuniform search, not geology.

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.

Place exact fictional resource quotas on a supplied cell graph under symmetric adjacency exclusions, reporting resource components; bounded nonuniform search, not geology.

When to use this tool

Use this generator to create reproducible world resource deposit layout 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

Supply cellIds, edges, resources in the field shapes below. Set seed when you need an explicit replay.
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.
Read cells, edges, resourceComponents, fictional. Use the conventions below and keep answer-bearing fields separate when presenting an exercise.

Expand each fictional resource quota into placement slots and use randomized bounded backtracking to assign unoccupied cells. Reject a neighboring pair when either resource forbids the other; retain unused cells as null and report same-resource connected components.^[1]

Input field	Meaning and units	Accepted input
cellIds	Cell Ids	Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 1; maximum items 12.
edges	Edges	Required. Array of Object; no unknown keys.; minimum items 0; maximum items 64.
edges[].from	From	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
edges[].to	To	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
resources	Resources	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 8.
resources[].id	Literal identifier used to match records, independently of their display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
resources[].count	Requested count; the mechanics explain whether one draw expands into several returned records.	Required. Safe integer; minimum 0; maximum 12.
resources[].forbidNeighborWithIds	Forbid Neighbor With Ids	Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 0; maximum items 8.
seed	Optional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.	Optional. Safe integer.

Output field	Interpretation	Returned shape
cells	Cells	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 12.
cells[].id	Literal identifier used to match records, independently of their display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
cells[].resourceId	Resource Id	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64. or Null.
edges	Edges	Required. Array of Object; no unknown keys.; minimum items 0; maximum items 64.
edges[].from	From	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
edges[].to	To	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
resourceComponents	Resource Components	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 8.
resourceComponents[].id	Literal identifier used to match records, independently of their display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
resourceComponents[].count	Requested count; the mechanics explain whether one draw expands into several returned records.	Required. Safe integer; minimum 0; maximum 12.
resourceComponents[].components	Component loading vectors in component order, each aligned with the original feature columns.	Required. Safe integer; minimum 0; maximum 12.
fictional	Fictional	Required. Boolean; exactly true.
randomness	Replay 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.seed	Optional numeric replay seed; normalization and precedence are explained below.	Required. Safe integer. or Null.
randomness.source	Source	Required. 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"
      }
    ],
    "resources": [
      {
        "id": "amber",
        "count": 2,
        "forbidNeighborWithIds": [
          "amber"
        ]
      },
      {
        "id": "iron",
        "count": 1,
        "forbidNeighborWithIds": []
      }
    ],
    "seed": 42
  },
  "output": {
    "cells": [
      {
        "id": "a",
        "resourceId": "amber"
      },
      {
        "id": "b",
        "resourceId": "iron"
      },
      {
        "id": "c",
        "resourceId": "amber"
      }
    ],
    "edges": [
      {
        "from": "a",
        "to": "b"
      },
      {
        "from": "b",
        "to": "c"
      }
    ],
    "resourceComponents": [
      {
        "id": "amber",
        "count": 2,
        "components": 2
      },
      {
        "id": "iron",
        "count": 1,
        "components": 1
      }
    ],
    "fictional": true,
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

The supplied graph and resource counts define the constraints. The search is not uniform over feasible assignments, and resource labels do not model geological formation or real extraction potential.
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

Tool behavior and example: Random World Resource Deposit Layout Generator — tool.io

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