* Set global random seed for all framework operations * @param {number|null} seed Seed value (null for non-deterministic)

* Set the random seed for deterministic simulations * @param {number|null} seed Seed value (null to use Math.random)

* Simulate one frame of the game * @param {Function} updateFunction The concept's update function

* Simulate a full game run with a given input pattern * @param {Function} initFunction Concept's init function * @param {Function} updateFunctio

* Generate new pin group

* Run game test and return raw simulation data (facts only, no evaluation) * @param {GameSimulator} simulator Game simulator instance * @param

* Simulate drawing text and check/record collisions. * Mimics crisp-game-lib's text(). Simplified: Assumes fixed 6x6 size per char. * Does not h

* Convert genome to flat input pattern array * @param {number} maxTicks Maximum ticks to generate * @returns {Array<number>} Flat array [0,1,0

* Tournament selection * @param {Array<GAIndividual>} population Population * @param {number} tournamentSize Tournament size * @returns {GAIn

* Tournament selection * @param {Array<GAIndividual>} population Population * @param {number} tournamentSize Tournament size * @returns {GAIn

* Update input state based on button status * @param {boolean} isButtonPressed Whether the button is currently pressed

* Analyze death patterns

* Analyze input patterns

* Analyze scoring patterns

* Analyze spawn patterns

* Check for near misses with obstacles

* Update statistics based on event

* Simulate drawing an arc and check/record collisions. * Mimics crisp-game-lib's arc(). Approximates arc with line segments. * @param {number

* Simulate drawing an arc and check/record collisions. * Mimics crisp-game-lib's arc(). Approximates arc with line segments. * @param {number |

* Auto-detect and track game entities from global scope * @param {Object} globalScope Global scope containing game variables * @param {Object} simul

* Simulate drawing a bar (rotated line) and check/record collisions. * Mimics crisp-game-lib's bar(). Delegates to line(). * @param {number |

* Simulate drawing a bar (rotated line) and check/record collisions. * Mimics crisp-game-lib's bar(). Delegates to line(). * @param {number | {x

* Calculate Design Score (0-100) * Based on: balance, difficulty progression, responsiveness * * @param {Object} monotonousResults Result from test

* Calculate Mechanical Coherence Score * @param {string[]} selectedTags - Tags used in the proposed game * @param {string} categoriesFile - Path to

* Calculate Novelty Score (0-100) * Based on: tag novelty, mechanical coherence, code originality * * @param {Object} noveltyMetrics Result from ca

* Calculate Overall Quality Score (0-100) * Weighted average of Technical, Design, Novelty scores * * @param {number} technical Technical score *

* Calculate all quality scores from evaluation results * * @param {Object} params Evaluation parameters * @param {Object} params.lintResult Lint ch

* Calculate Tag Novelty Ratio * @param {string[]} selectedTags - Tags used in the proposed game * @param {string} historyFile - Path to tag_combo_hi

* Calculate Technical Score (0-100) * Based on: syntax correctness, execution stability, vulnerability resistance * * @param {Object} lintResult Re

* Simulate drawing a character sprite and check/record collisions. * Mimics crisp-game-lib's char(). Simplified: Assumes fixed 6x6 size. * Req

* Simulate drawing a character sprite and check/record collisions. * Mimics crisp-game-lib's char(). Simplified: Assumes fixed 6x6 size. * Requi

* Clear all tracked obstacles

* Set the current "drawing" color for subsequent collision checks. * @param {string} colorName Color name (e.g., 'red', 'blue', 'transparent')

* Set the current "drawing" color for subsequent collision checks. * @param {string} colorName Color name (e.g., 'red', 'blue', 'transparent')

* Compare multiple games to identify the best design * @param {Array} gameResults Array of results from evaluateGameComprehensive * @returns {Ob

* Compare multiple games to identify the best design * @param {Array} gameResults Array of results from evaluateGameComprehensive * @returns {Ob

* Compare game performance using different simulated player skill levels. * * @param {GameSimulator} simulator Game simulator instance * @par

* Create initial population * @param {number} populationSize Number of individuals * @param {Object} config Configuration for genome generation

* Create initial population * @param {number} populationSize Number of individuals * @param {Object} config Configuration for genome generation

* Create a random individual with values within suggested ranges

* Create a random individual * @param {number} minLength Minimum genome length * @param {number} maxLength Maximum genome length * @param

* One-point crossover * @param {GAIndividual} parent1 First parent * @param {GAIndividual} parent2 Second parent * @returns {Array<GAIndividu

* One-point crossover * @param {GAIndividual} parent1 First parent * @param {GAIndividual} parent2 Second parent * @returns {Array<GAIndividu