/******************************* * functions given to the students ********************************/ const SIZE = 100 const MAP = new Int8Array(SIZE * SIZE) const isFree = ({ x, y }) => MAP[y * SIZE + x] === 0 const isOccupied = ({ x, y }) => MAP[y * SIZE + x] === 1 const inBounds = (n) => n < SIZE && n >= 0 const isInBounds = ({ x, y }) => inBounds(x) && inBounds(y) const pickRandom = (arr) => arr[Math.floor(Math.random() * arr.length)] /*********** * My functions ************/ const isAlley = ({ x, y }) => !isFree({ x, y }) || !isInBounds({ x, y }) // TODO: could make the ai harder if left an empty space so that it could get out // this functions will find the best path, so the path that has more empty spaces const findBestPath = ({ ai }) => { let arr = [] let car = ai.cardinal // if it as a block on the symmetric position it must // simulate the symmetric position and see witch path is the best // from the symmetric position // o→ // ←↓oooooooooo // ↓ if ( (car === 3 || car === 0) && !isFree({ x: ai.x - 1, y: ai.y - 1 }) && isFree({ x: ai.x, y: ai.y - 1 }) && isFree({ x: ai.x - 1, y: ai.y }) ) { let xad = ai.x - 1 let yad = ai.y - 1 // [right, line0, line3, down] let choose = [ calDistance(xad + 1, yad, 1, 0), calDistance(ai.x, ai.y - 1, 0, 0), calDistance(ai.x - 1, ai.y, 3, 0), calDistance(xad, yad + 1, 2, 0), ] let index = choose.indexOf(Math.max(...choose)) return index === 0 || index === 1 ? ai.coords[0] : ai.coords[3] } if ( (car === 1 || car === 0) && !isFree({ x: ai.x + 1, y: ai.y - 1 }) && isFree({ x: ai.x, y: ai.y - 1 }) && isFree({ x: ai.x + 1, y: ai.y }) ) { let xad = ai.x + 1 let yad = ai.y - 1 // choose will save the biggest path to be chosen // [ down, line1, line0, left ] let choose = [ calDistance(xad, yad + 1, 2, 0), calDistance(ai.x + 1, ai.y, 1, 0), calDistance(ai.x, ai.y - 1, 0, 0), calDistance(xad - 1, yad, 3, 0), ] let index = choose.indexOf(Math.max(...choose)) return index === 0 || index === 1 ? ai.coords[1] : ai.coords[0] } if ( (car === 2 || car === 1) && !isFree({ x: ai.x + 1, y: ai.y + 1 }) && isFree({ x: ai.x, y: ai.y + 1 }) && isFree({ x: ai.x + 1, y: ai.y }) ) { let xad = ai.x + 1 let yad = ai.y + 1 // choose will save the biggest path to be chosen // [ left, line2, line1, up ] let choose = [ calDistance(xad - 1, yad, 3, 0), calDistance(ai.x, ai.y + 1, 2, 0), calDistance(ai.x + 1, ai.y, 1, 0), calDistance(xad, yad - 1, 0, 0), ] let index = choose.indexOf(Math.max(...choose)) return index === 0 || index === 1 ? ai.coords[2] : ai.coords[1] } if ( (car === 2 || car === 3) && !isFree({ x: ai.x - 1, y: ai.y + 1 }) && isFree({ x: ai.x, y: ai.y + 1 }) && isFree({ x: ai.x - 1, y: ai.y }) ) { let xad = ai.x - 1 let yad = ai.y + 1 // choose will save the biggest path to be chosen // [ right, line2, line3, up ] let choose = [ calDistance(xad + 1, yad, 1, 0), calDistance(ai.x, ai.y + 1, 2, 0), calDistance(ai.x - 1, ai.y, 3, 0), calDistance(xad, yad - 1, 0, 0), ] let index = choose.indexOf(Math.max(...choose)) return index === 0 || index === 1 ? ai.coords[2] : ai.coords[3] } for (const { x, y, cardinal } of ai.coords) { // if everything is ok it must continue with the best path arr.push(calDistance(x, y, cardinal, 0)) } return ai.coords[arr.indexOf(Math.max(...arr))] } // recursion const calDistance = (x, y, car, count) => { if (car <= 0) { if ( isFree({ x, y }) && isAlley({ x: x + 1, y }) && isAlley({ x, y: y - 1 }) && isAlley({ x: x - 1, y }) ) return -1 return !isFree({ x, y }) || !inBounds(y - 1) ? count : calDistance(x, y - 1, car, count + 1) } if (car === 1) { if ( isFree({ x, y }) && isAlley({ x, y: y + 1 }) && isAlley({ x, y: y - 1 }) && isAlley({ x: x + 1, y }) ) return -1 return !isFree({ x, y }) || !inBounds(x + 1) ? count : calDistance(x + 1, y, car, count + 1) } if (car === 2) { if ( isFree({ x, y }) && isAlley({ x: x - 1, y }) && isAlley({ x, y: y + 1 }) && isAlley({ x: x + 1, y }) ) return -1 return !isFree({ x, y }) || !inBounds(y + 1) ? count : calDistance(x, y + 1, car, count + 1) } if (car === 3) { if ( isFree({ x, y }) && isAlley({ x, y: y - 1 }) && isAlley({ x: x - 1, y }) && isAlley({ x, y: y + 1 }) ) return -1 return !isFree({ x, y }) || !inBounds(x - 1) ? count : calDistance(x - 1, y, car, count + 1) } } const addToMap = ({ x, y }) => (MAP[y * SIZE + x] = 1) const update = (state) => { state.ais.forEach(addToMap) return findBestPath(state) }