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routing.py
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routing.py
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import os
import sys
import matplotlib.pyplot as plt
class Track:
def __init__(self, n, s, e):
self.n = n
self.s = s
self.e = e
class Dogleg:
def __init__(self, p):
self.p = p
global_data = {
'boundary_list': [],
'net_list': [],
'topboundaryID': [],
'bottomboundaryID': [],
'max_length': 0
}
net_data = {}
y_values_lookup = {}
def calculate_dynamic_offset(x, net, y):
i = 0
for boundary in global_data['boundary_list']:
if x in range(boundary.s, boundary.e + 1) and net == global_data['topboundaryID'][x] and boundary.n[0] == 'T':
i = y_values_lookup[boundary.n] - y
break
elif x in range(boundary.s, boundary.e + 1) and net == global_data['bottomboundaryID'][x] and boundary.n[0] == 'B':
i = y - y_values_lookup[boundary.n]
break
return i
def parse_BoundaryList(f):
lines = f.readlines()
num_lines = len(lines)
for i, line in enumerate(lines):
line = line.strip()
if line[0] == 'T' or line[0] == 'B':
parts = line.split()
start, end = int(parts[1]), int(parts[2])
if end > global_data['max_length']:
global_data['max_length'] = end
global_data['boundary_list'].append(Track(parts[0], int(parts[1]), int(parts[2])))
elif i == num_lines - 2:
global_data['topboundaryID'] = line.split()
elif i == num_lines - 1:
global_data['bottomboundaryID'] = line.split()
def parse_NetList(f):
current_net = None
for line in f:
if 'Channel' in line:
parts = line.split()
channel_density = int(parts[2])
for i in range(channel_density + 1, 1, -1):
track_label = f'C{i - 1}'
start, end = 0, 0
global_data['boundary_list'].append(Track(track_label, start, end))
elif 'Net' in line:
parts = line.split()
current_net = parts[1]
net_data[current_net] = { 'doglegs': [], 'tracks': [] }
elif current_net:
if 'Dogleg' in line:
parts = line.split()
net_data[current_net]['doglegs'].append(Dogleg(int(parts[1])))
elif line[0] == 'C' or line[0] == 'T' or line[0] == 'B':
parts = line.split()
global_data['net_list'].append(Track(parts[0], int(parts[1]), int(parts[2])))
net_data[current_net]['tracks'].append(Track(parts[0], int(parts[1]), int(parts[2])))
def plot(number, h, w):
if h is not None and w is not None:
plt.figure(figsize=(h, w))
y_cord = 0
for i, track in enumerate(global_data['boundary_list']):
if track.n not in y_values_lookup:
plt.text(x=-0.3, y=y_cord, s=track.n , va='center', ha='right', color='gray', size=7)
plt.hlines(y=y_cord, xmin=0, xmax=global_data['max_length'], colors='gray', linestyles=':', lw=1)
y_values_lookup[track.n] = y_cord
h = y_cord
y_cord += 1
else:
h = y_values_lookup[track.n]
if track.n[0] == 'T' or track.n[0] == 'B':
boundaryIDs = global_data['topboundaryID'] if track.n[0] == 'T' else global_data['bottomboundaryID']
text_va = 'bottom' if track.n[0] == 'T' else 'top'
text_offset = 0.1 if track.n[0] == 'T' else - 0.2
plt.hlines(y=h, xmin=track.s, xmax=track.e, colors='black', lw=2)
for x in range(track.s, track.e + 1):
plt.plot(x, h, marker='o', color='black', markersize=4)
plt.text(x, h + text_offset, str(boundaryIDs[x]), color='red', ha='center', va=text_va, size=6)
for i, track in enumerate(global_data['net_list']):
if hasattr(track, 'n') and (track.n[0] == 'C'):
plt.hlines(y=y_values_lookup[track.n], xmin=track.s, xmax=track.e, colors='blue', lw=2)
if hasattr(track, 'n') and (track.n[0] == 'T' or track.n[0] == 'B'):
plt.hlines(y=y_values_lookup[track.n], xmin=track.s, xmax=track.e, colors='blue', lw=2)
for net in net_data:
for track in net_data[net]['tracks']:
if hasattr(track, 'n') and track.n[0] in ('T', 'B', 'C'):
for x in range(track.s, track.e + 1):
if net == global_data['bottomboundaryID'][x]:
dynamic_offset = calculate_dynamic_offset(x, net, y_values_lookup[track.n])
ymax = y_values_lookup[track.n]
ymin = y_values_lookup[track.n] - dynamic_offset
plt.vlines(x=x, ymin=ymin, ymax=ymax, colors='green', lw=1)
elif net == global_data['topboundaryID'][x]:
dynamic_offset = calculate_dynamic_offset(x, net, y_values_lookup[track.n])
ymax = y_values_lookup[track.n] + dynamic_offset
ymin = y_values_lookup[track.n]
plt.vlines(x=x, ymin=ymin, ymax=ymax, colors='green', lw=1)
for dogleg in net_data[net]['doglegs']:
for track in net_data[net]['tracks']:
if hasattr(track, 'n') and track.n[0] in ('T', 'B', 'C'):
if track.e == dogleg.p:
ymax = y_values_lookup[track.n]
elif track.s == dogleg.p:
ymin = y_values_lookup[track.n]
plt.vlines(x=dogleg.p, ymin=ymin, ymax=ymax, colors='red', lw=2)
# Remove the axes
plt.gca().spines['top'].set_visible(False)
plt.gca().spines['right'].set_visible(False)
plt.gca().spines['left'].set_visible(False)
plt.gca().spines['bottom'].set_visible(False)
# Remove the ticks
plt.gca().set_xticks([])
plt.gca().set_yticks([])
figures_dir = os.path.join(os.path.dirname(__file__), 'figures')
os.makedirs(figures_dir, exist_ok=True)
plt.savefig(os.path.join(figures_dir, f'plot{number}.png'))
def sort_tracks(track):
prefix = track.n[0]
num = int(track.n[1:])
if prefix == 'T' or prefix == 'C':
# For 'T' and 'C', sort by prefix in ascending order, then number in descending order
return (prefix, num)
elif prefix == 'B':
# For 'B', sort by prefix in ascending order, then number in ascending order
return (prefix, -num)
def main():
if len(sys.argv) < 4:
print("Usage: python3 routing.py input<number>.in output<number>.out <number> [<h> <w>]")
sys.exit(1)
BoundaryList = sys.argv[1]
NetList = sys.argv[2]
Number = int(sys.argv[3])
SizeH = int(sys.argv[4]) if len(sys.argv) > 4 else None
SizeW = int(sys.argv[5]) if len(sys.argv) > 4 else None
with open(BoundaryList, 'r') as f:
parse_BoundaryList(f)
with open(NetList, 'r') as f:
parse_NetList(f)
global_data['boundary_list'].sort(key=sort_tracks)
plot(Number, SizeH, SizeW)
print("Routing Done!")
if __name__ == '__main__':
main()