private void HandleInput(Vector2 aimDirection)
{
if (Input.GetMouseButton(0))
//if (index == 0)
// if (!ropeAttached) // testing neural net
{
// if (index != 0)
// return;
//aimAngle = (0.52f + 0.88f * outputs[index]) * Mathf.Rad2Deg; // neural net
//aimDirection = Quaternion.Euler(0, 0, aimAngle) * Vector2.right; // neural net
if (aimAngle < .52 || aimAngle > 1.4)
{
return; // setting the range for aiming angle, non neural net
}
//if (aimAngle < 30 || aimAngle > 80) return; // setting the range for aiming angle, neural net
if (ropeAttached)
{
return; // Prevent creating a new rope when already swinging
}
if (!gameStarted)
{
return; // Preventing creating rope when game hasn't started
}
ropeRenderer.enabled = true;
var hit = Physics2D.Raycast(playerPosition, aimDirection, ropeMaxCastDistance, ropeLayerMask);
if (hit.collider != null) // if the rope hits a valid target
{
ropeAttached = true;
if (!ropePositions.Contains(hit.point))
{
if (!playerMovement.groundCheck)
{
character.velocity = new Vector2(character.velocity.x, character.velocity.y * 0.25f); // speed up the swing and slowdown freefall to prevent the rope from stretching too much
ropeJoint.distance = Vector2.Distance(playerPosition, hit.point);
}
else
{
ropeJoint.distance = Vector2.Distance(playerPosition, hit.point) - 0.1f; // lift the character from the ground to swing
playerMovement.groundPull = true;
}
//Debug.Log("ropeattached");
ropePositions.Add(hit.point);
ropeJoint.enabled = true;
ropeHingeAnchorSprite.enabled = true;
ropeHingeAnchorRb.transform.position = hit.point;
}
}
else
{
ropeRenderer.enabled = false;
ropeAttached = false;
}
float aimOutput = (aimAngle - 0.52f) / 0.88f;
float[] correctOutput = { aimOutput, 0f, 0f, 0f };
network.Train(correctOutput);
// correctOutputs.Add(aimOutput);
}
else if (Input.GetMouseButton(1)) // non neural net
//else if (index == 1) // neural net
{
ResetRope(); // right click to disable the rope
float[] correctOutput = { 0f, 1f, 0f, 0f };
//correctOutputs.Add(1f);
network.Train(correctOutput);
}
else if (Input.GetKeyDown("space"))
//else if (index == 3) // neural net
{
TurnOnShield();
float[] correctOutput = { 0f, 0f, 0f, 1f };
//correctOutputs.Add(3f);
network.Train(correctOutput);
}
else
{
float[] correctOutput = { 0f, 0f, 1f, 0f };
//correctOutputs.Add(2f);
network.Train(correctOutput);
}
}