def __init__(self, name=""):
self._name = name
self._device_type = -1
self._device_channel = -1
self._rect = geo.Rect()
self._pin_list = []
self._pin_name_map = {}
def calculate_design_bbox(self):
"""
@brief Going through all the devices and find the boundary for the design
"""
self._bbox = geo.Rect()
for device in self._devices:
self._bbox.union(device.rect())
def compute_bbox(self):
assert len(self._shapes) > 0
"""
Here need a deep copy. Re-construct a new object for covenience
"""
self._bbox = geo.Rect(self._shapes[0].x_lo(), self._shapes[0].y_lo(),
self._shapes[0].x_hi(), self._shapes[0].y_hi())
for idx in range(1, len(self._shapes)):
self._bbox.union(self._shapes[idx])
def export_connect_net_bbox(self, filename):
"""
@brief try to catch the connectivity information into images
@param filename: the file name of the output images
"""
img = np.zeros((self._image_size, self._image_size), dtype=int)
for net_idx in range(0, self._db.num_nets()):
#print("Net ", net_idx)
net = self._db.net_idx(net_idx)
bbox = geo.Rect()
for pin_idx in net.pin_list():
pin = self._db.pin_idx(pin_idx)
#print(pin.rect().to_str())
bbox.union(pin.rect())
#print("BBOX: ", bbox.to_str())
xl_px = self._db.circuit().pixel_x(bbox.x_lo())
yl_px = self._db.circuit().pixel_y(bbox.y_lo())
xh_px = self._db.circuit().pixel_x(bbox.x_hi())
yh_px = self._db.circuit().pixel_y(bbox.y_hi())
for x_px in range(int(xl_px), int(xh_px)):
for y_px in range(int(yl_px), int(yh_px)):
img[y_px][x_px] += 1 # Increment the value
export_grayscale_image(img, self._image_size, filename)
def add_shape(self, layer, x_lo, y_lo, x_hi, y_hi):
self._layers.append(layer)
self._shapes.append(geo.Rect(x_lo, y_lo, x_hi, y_hi))
def set_rect(self, x_lo, y_lo, x_hi, y_hi):
self._rect = geo.Rect(x_lo, y_lo, x_hi, y_hi)
def __init__(self):
self._device_idx = -1
self._rect = geo.Rect()
self._net_idx = -1
self._name = ""
def __init__(self):
self._name = ""
self._layers = []
self._shapes = []
self._bbox = geo.Rect()