fn knight_attacks(sq: u8) -> u64 {
let b = 1u64 << sq;
((b << 17) & !FILE_A) | ((b << 15) & !FILE_H)
| ((b << 10) & !(FILE_A | FILE_B))
| ((b >> 6) & !(FILE_A | FILE_B))
}
let idx = (occ & mask).wrapping_mul(MAGIC[sq]) >> SHIFT[sq];
let attacks = ROOK_TABLE[sq][idx as usize];
bool rb_push(ring_t *rb, uint8_t byte) {
size_t next = (rb->head + 1) & (RB_SIZE - 1);
if (next == rb->tail) return false;
rb->buf[rb->head] = byte;
rb->head = next;
return true;
}
fn knight_attacks(sq: u8) -> u64 {
let b = 1u64 << sq;
((b << 17) & !FILE_A) | ((b << 15) & !FILE_H)
| ((b << 10) & !(FILE_A | FILE_B))
| ((b >> 6) & !(FILE_A | FILE_B))
}
let idx = (occ & mask).wrapping_mul(MAGIC[sq]) >> SHIFT[sq];
let attacks = ROOK_TABLE[sq][idx as usize];
bool rb_push(ring_t *rb, uint8_t byte) {
size_t next = (rb->head + 1) & (RB_SIZE - 1);
if (next == rb->tail) return false;
rb->buf[rb->head] = byte;
rb->head = next;
return true;
}
double error = target - encoder.getPosition();
integral += error * dt;
double derivative = (error - lastError) / dt;
double output = kP * error + kI * integral + kD * derivative;
motor.set(MathUtil.clamp(output, -1.0, 1.0));
lastError = error;
var pose = LimelightHelpers.getBotPoseEstimate_wpiBlue("limelight");
if (pose.tagCount >= 2) {
odometry.addVisionMeasurement(pose.pose, pose.timestampSeconds);
}
AutoBuilder.followPath(PathPlannerPath.fromPathFile("Auto"));
double error = target - encoder.getPosition();
integral += error * dt;
double derivative = (error - lastError) / dt;
double output = kP * error + kI * integral + kD * derivative;
motor.set(MathUtil.clamp(output, -1.0, 1.0));
lastError = error;
var pose = LimelightHelpers.getBotPoseEstimate_wpiBlue("limelight");
if (pose.tagCount >= 2) {
odometry.addVisionMeasurement(pose.pose, pose.timestampSeconds);
}
AutoBuilder.followPath(PathPlannerPath.fromPathFile("Auto"));
fn negamax(pos: &mut Board, depth: u8,
mut alpha: i32, beta: i32) -> i32 {
if depth == 0 { return quiesce(pos, alpha, beta); }
for mv in pos.legal_moves() {
pos.make(mv);
let score = -negamax(pos, depth - 1, -beta, -alpha);
pos.unmake(mv);
if score >= beta { return beta; }
alpha = alpha.max(score);
}
alpha
}
self.onmessage = ({ data }) => {
engine.send_command(`position startpos moves ${data.history}`);
const best = engine.send_command("go wtime 300000");
postMessage({ type: "bestmove", move: best });
};
fn negamax(pos: &mut Board, depth: u8,
mut alpha: i32, beta: i32) -> i32 {
if depth == 0 { return quiesce(pos, alpha, beta); }
for mv in pos.legal_moves() {
pos.make(mv);
let score = -negamax(pos, depth - 1, -beta, -alpha);
pos.unmake(mv);
if score >= beta { return beta; }
alpha = alpha.max(score);
}
alpha
}
self.onmessage = ({ data }) => {
engine.send_command(`position startpos moves ${data.history}`);
const best = engine.send_command("go wtime 300000");
postMessage({ type: "bestmove", move: best });
};
bool rb_push(ring_t *rb, uint8_t byte) {
size_t next = (rb->head + 1) & (RB_SIZE - 1);
if (next == rb->tail) return false;
rb->buf[rb->head] = byte;
rb->head = next;
return true;
}
double error = target - encoder.getPosition();
integral += error * dt;
double derivative = (error - lastError) / dt;
double output = kP * error + kI * integral + kD * derivative;
motor.set(MathUtil.clamp(output, -1.0, 1.0));
lastError = error;
bool rb_push(ring_t *rb, uint8_t byte) {
size_t next = (rb->head + 1) & (RB_SIZE - 1);
if (next == rb->tail) return false;
rb->buf[rb->head] = byte;
rb->head = next;
return true;
}
double error = target - encoder.getPosition();
integral += error * dt;
double derivative = (error - lastError) / dt;
double output = kP * error + kI * integral + kD * derivative;
motor.set(MathUtil.clamp(output, -1.0, 1.0));
lastError = error;
Computer Science @ UT Austin
CarlosCantu.
UT Austin Computer Science student engineering performant, reliable software — from low-level algorithms to scalable systems.
