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Random Improv Emotion Transition Sequence Generator

Order supplied fictional emotion labels through explicit transition cues and hold counts using bounded search; no participant psychology is classified.

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Description

Order supplied fictional emotion labels through explicit transition cues and hold counts using bounded search; no participant psychology is classified.

A structured creative brief combines a supplied bank of fictional material with explicit sequencing, timing, or compatibility rules. IDs and tags make those constraints inspectable; they do not assess the artistic meaning or quality of a scene.

Order supplied fictional emotion labels through explicit transition cues and hold counts using bounded search; no participant psychology is classified.

When to use this tool

Use this generator to create reproducible improv emotion transition 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 emotions, transitions, startEmotionId, segmentCount 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 segments, rounds, totalCounts. Use the conventions below and keep answer-bearing fields separate when presenting an exercise.

Use bounded search along supplied directed emotion transitions, assigning each emotion its holdCounts and recording cumulative count intervals. Return transition IDs, cues, grouped segments, and final totalCounts.1

Input fieldMeaning and unitsAccepted input
emotionsEmotionsRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 16.
emotions[].idLiteral identifier used to match records, independently of their display labels.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
emotions[].labelCaller-facing text label; not a globally unique identifier.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
emotions[].holdCountsHold CountsRequired. Safe integer; minimum 1; maximum 9007199254740991.
transitionsTransitionsRequired. Array of Object; no unknown keys.; minimum items 0; maximum items 32.
transitions[].idLiteral identifier used to match records, independently of their display labels.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 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[].cueCueRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
startEmotionIdStart Emotion IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
segmentCountSegment CountRequired. Safe integer; minimum 1; maximum 32.
seedOptional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.Optional. Safe integer.
Output fieldInterpretationReturned shape
segmentsSegmentsRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 32.
segments[].emotionIdEmotion IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
segments[].labelCaller-facing text label; not a globally unique identifier.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
segments[].startCountStart CountRequired. Safe integer; minimum 0; maximum 9007199254740991.
segments[].endCountEnd CountRequired. Safe integer; minimum 1; maximum 9007199254740991.
segments[].transitionIdTransition IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64. or Null.
segments[].cueCueRequired. Text; maximum UTF-16 length 1024.
roundsRoundsRequired. Array of Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 1; maximum items 2.; minimum items 1; maximum items 16.
totalCountsTotal CountsRequired. Safe integer; minimum 1; maximum 9007199254740991.
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": {
    "emotions": [
      {
        "id": "calm",
        "label": "Calm",
        "holdCounts": 2
      },
      {
        "id": "wonder",
        "label": "Wonder",
        "holdCounts": 3
      }
    ],
    "transitions": [
      {
        "id": "notice",
        "from": "calm",
        "to": "wonder",
        "cue": "Notice the letter"
      }
    ],
    "startEmotionId": "calm",
    "segmentCount": 2,
    "seed": 42
  },
  "output": {
    "segments": [
      {
        "emotionId": "calm",
        "label": "Calm",
        "startCount": 0,
        "endCount": 2,
        "transitionId": null,
        "cue": ""
      },
      {
        "emotionId": "wonder",
        "label": "Wonder",
        "startCount": 2,
        "endCount": 5,
        "transitionId": "notice",
        "cue": "Notice the letter"
      }
    ],
    "rounds": [
      [
        "calm",
        "wonder"
      ]
    ],
    "totalCounts": 5,
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

  • Counts are rehearsal counts rather than seconds unless the caller supplies a tempo convention. States can recur; this is a fictional performance plan rather than mental-health assessment or therapy.
  • 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 Improv Emotion Transition Sequence Generator — tool.io

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