Random Fictional Roadside Stop Chain Generator

Description

Populate an imaginary connected stop chain with supplied type and hook labels, bounded integer travel legs, and optional adjacent-type exclusion; distances are fictional.

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.

Populate an imaginary connected stop chain with supplied type and hook labels, bounded integer travel legs, and optional adjacent-type exclusion; distances are fictional.

When to use this tool

Use this generator to create reproducible fictional roadside stop chain 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 stopTypes, count, minimumLegKm, maximumLegKm, forbidConsecutiveType 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 stops, links, totalKm, componentCount, fictional. Use the conventions below. Keep answer-bearing fields separate when presenting an exercise.

Draw stop types and hooks, optionally excluding the preceding type. Add inclusive integer leg distances between consecutive stops and return cumulative kilometer positions, chain links, and component count.^[1]

Input field	Meaning and units	Accepted input
stopTypes	Stop Types	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 16.
stopTypes[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
stopTypes[].hooks	Hooks	Required. Array of Text; maximum UTF-16 length 1024.; minimum items 1; maximum items 16.
count	Count	Required. Safe integer; minimum 1; maximum 32.
minimumLegKm	Minimum Leg Km	Required. Safe integer; minimum 0; maximum 1000000.
maximumLegKm	Maximum Leg Km	Required. Safe integer; minimum 0; maximum 1000000.
forbidConsecutiveType	Forbid Consecutive Type	Required. Boolean.
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
stops	Stops	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 32.
stops[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
stops[].typeId	Type Id	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
stops[].hook	Hook	Required. Text; maximum UTF-16 length 1024.
stops[].positionKm	Position Km	Required. Safe integer; minimum 0; maximum 9007199254740991.
links	Links	Required. Array of Object; no unknown keys.; minimum items 0; maximum items 31.
links[].from	From	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
links[].to	To	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
totalKm	Total Km	Required. Safe integer; minimum 0; maximum 9007199254740991.
componentCount	Component Count	Required. Safe integer; minimum 1; maximum 1.
fictional	Fictional	Required. Boolean; exactly true.
randomness	Replay source and normalized 32-bit seed, or null seed for an advancing context source.	Required. Object; no unknown keys.
randomness.seed	Optional safe-integer 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": {
    "stopTypes": [
      {
        "id": "inn",
        "hooks": [
          "rest"
        ]
      },
      {
        "id": "ferry",
        "hooks": [
          "cross"
        ]
      }
    ],
    "count": 3,
    "minimumLegKm": 2,
    "maximumLegKm": 4,
    "forbidConsecutiveType": true,
    "seed": 42
  },
  "output": {
    "stops": [
      {
        "id": "stop-1",
        "typeId": "ferry",
        "hook": "cross",
        "positionKm": 0
      },
      {
        "id": "stop-2",
        "typeId": "inn",
        "hook": "rest",
        "positionKm": 2
      },
      {
        "id": "stop-3",
        "typeId": "ferry",
        "hook": "cross",
        "positionKm": 5
      }
    ],
    "links": [
      {
        "from": "stop-1",
        "to": "stop-2"
      },
      {
        "from": "stop-2",
        "to": "stop-3"
      }
    ],
    "totalKm": 5,
    "componentCount": 1,
    "fictional": true,
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

A no-consecutive-repeat request with multiple stops needs two stop types. The chain is fictional linear distance rather than geographic road routing, travel time, or guidance about real stops.
A replay requires the same complete input and implementation. The stated sampling convention applies within its eligible space. A finite draw does not exhaust all possible outputs; repeats remain possible unless a distinct-selection rule is explicit.
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 Fictional Roadside Stop Chain Generator — tool.io

Similar or alternative tools

Random Fictional District Adjacency Map Generator
Construct a connected fictional district graph under supplied land-use and boundary exclusions using bounded, nonuniform constraint search; no zoning or geometry claims.
Random Fictional Faction Alliance Map Generator
Generate supplied fictional factions' ally, rival, or neutral pair network with bounded topology search and same or independent reciprocal labels.