* Update player state for logging * @param {Object} pos Player position {x, y} * @param {Object} vel Player velocity {x, y}

* Verify that game implementation contains required mechanics for each tag

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

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

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

* Clone this individual * @returns {GAIndividual} Deep copy of this individual

* Clone this individual * @returns {GAIndividual} Deep copy of this individual

* Create a clone of this individual

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

* @param {Array} parameterSpec - Array of parameter definitions from balance_params.json * @param {Object} values - Optional initial parameter val

* Initialize a new game simulator

* Initialize Xorshift128 with a seed * @param {number} seed Seed value (default: 123456789)

* Create a new individual * @param {Array<{interval: number, duration: number}>} genome Array of input pairs

* Initialize Xorshift128 with a seed * @param {number} seed Seed value (default: 123456789)

* Initialize a new game simulator

* Create a new individual * @param {Array<{interval: number, duration: number}>} genome Array of input pairs

* @param {Array} parameterSpec - Array of parameter definitions from balance_params.json * @param {Object} values - Optional initial parameter valu

* Initialize a new game simulator

* Object pool for game entities * @returns {Object} Object pool with add, processAndFilterItems, and clear methods

* Object pool for game entities * @returns {Object} Object pool with add, processAndFilterItems, and clear methods

* Object pool for game entities * @returns {Object} Object pool with add, processAndFilterItems, and clear methods

* Create a random individual with values within suggested ranges

* Disable event logging

* End the current game

* End the current game

* End the current game

* Evolve population to find optimal input pattern * @param {GameSimulator} simulator Game simulator instance * @param {Object} gameConcept Game

* Evolve population to find optimal input pattern * @param {GameSimulator} simulator Game simulator instance * @param {Object} gameConcept Game

* Generate a simple hash for an object to track identity * @param {Object} obj Object to hash * @param {number} index Array index * @returns {strin

* Get the current state of the game for input generation * @returns {Object} Current game state

* Get the current state of the game for input generation * @returns {Object} Current game state