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problem.py
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import logging
import math
import random
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
import cv2
import pickle
class RandomProblem:
def __init__(self, w_max, w_min, h_max, h_min, l, pin_density, obs_density):
self.pending_pins = None
if l == 0:
return
self.max_x = random.randint(w_min, w_max)
self.max_y = random.randint(h_min, h_max)
area = self.max_x * self.max_y / 10000
pin_num = int(area * pin_density)
obs_num = int(area / 9 * obs_density)
logging.info('RandomProblem: max_x: %d, max_y: %d, area: %d, pin_num: %d, obs_num: %d' % (
self.max_x, self.max_y, area, pin_num, obs_num))
assert pin_density + obs_density <= 0.5
self.layer_num = l
self.min_x = 0
self.min_y = 0
self.grid = 2
self.clearance = 1
self.line_width = 1
self.via_radius = 1
self.padstacks = None
self.generate_padstack()
self.pins = None
self.generate_pins(pin_num, obs_num)
self.nets = None
self.generate_nets()
def generate_nets(self):
self.nets = []
# divide pins into nets
index = 0
logging.info('RandomProblem: generate_nets: pin_num: %d' % len(self.pending_pins))
while True:
if len(self.pending_pins) < 2:
break
net = {
'index': index,
'pins': [],
'name': 'net' + str(index),
'net_id': index
}
pin_num = 2
for i in range(pin_num):
pin_id = random.choice(self.pending_pins)
net['pins'].append(pin_id)
self.pending_pins.remove(pin_id)
self.pins[pin_id]['net_id'] = net['index']
self.nets.append(net)
index += 1
def generate_pins(self, pin_num, obs_num=10):
self.pins = []
self.pending_pins = []
generate_num = 0
generate_pin_num = 0
generate_obs_num = 0
i = 0
while len(self.pins) < pin_num + obs_num:
generate_num += 1
if generate_pin_num < pin_num:
t = 'PIN'
else:
t = 'OBS'
pin = {
'id': str(i),
'shape': random.choice(['CIRCLE', 'RECT']) if t == 'PIN' else 'OBS_CIRCLE',
'x': random.randint(0, self.max_x),
'y': random.randint(0, self.max_y),
'index': str(i),
'type': t,
}
pin['x_int'] = round(pin['x'])
pin['y_int'] = round(pin['y'])
counter_flag = False
for _pin in self.pins:
min_distance = 100
if _pin['type'] == 'OBS': min_distance += 200
if t == 'OBS': min_distance += 200
if math.hypot(_pin['x_int'] - pin['x_int'], _pin['y_int'] - pin['y_int']) < min_distance:
counter_flag = True
break
if not counter_flag:
self.pins.append(pin)
if t == 'PIN':
self.pending_pins.append(i)
generate_pin_num += 1
else:
generate_obs_num += 1
i += 1
if generate_num > 1000:
logging.warning('generate pins failed in 1000 times')
break
def generate_padstack(self):
self.padstacks = {
'CIRCLE': {},
'RECT': {},
'OBS_CIRCLE': {},
}
for i in range(1, 1 + self.layer_num):
self.padstacks['CIRCLE'][F'{i}'] = {'shape': 'circle', 'detail': [80]}
self.padstacks['RECT'][F'{i}'] = {'shape': 'polygon', 'detail': [0, -28, 24, 28, 24, 28, -24, -28, -24]}
self.padstacks['OBS_CIRCLE'][F'{i}'] = {'shape': 'circle', 'detail': [80 * 3]}
def save(self, path):
with open(path, 'wb') as f:
pickle.dump(self, f)
@staticmethod
def load(path):
with open(path, 'rb') as f:
self = pickle.load(f)
return self
class Problem:
def __init__(self, resolver):
boundary = resolver.boundary
pins = resolver.pins
connections = resolver.connections
self.padstacks = resolver.padstacks
self.min_x = round(boundary['min_x'])
self.min_y = round(boundary['min_y'])
self.max_x = round(boundary['max_x'])
self.max_y = round(boundary['max_y'])
self.grid = resolver.grid
self.clearance = resolver.clearance
self.line_width = resolver.line_width
self.via_radius = 1
via_names = None
for data in resolver.structure_data:
if list(data.keys())[0] == 'via':
via_names = list(data.values())[0].split()
for via_name in via_names:
patstack = self.padstacks[via_name]
for k, v in patstack.items():
if v['detail'][0] < self.via_radius or self.via_radius == 1:
self.via_radius = v['detail'][0]
self.x_offset = 0
self.y_offset = 0
if self.min_x != 0:
self.x_offset = -self.min_x
self.min_x = 0
self.max_x = self.max_x + self.x_offset
if self.min_y != 0:
self.y_offset = -self.min_y
self.min_y = 0
self.max_y = self.max_y + self.y_offset
self.layer_num = len(boundary['layer'])
self.board = np.zeros((self.max_x + 1, self.max_y + 1, self.layer_num), dtype=int)
self.pins = list(pins.values())
for pin in self.pins:
pin['x_int'] += self.x_offset
pin['y_int'] += self.y_offset
self.pins_dict = {}
for i in range(len(self.pins)):
self.pins[i]['index'] = i
self.pins_dict[self.pins[i]['id']] = self.pins[i]
self.nets = []
i = 0
for k, v in connections.items():
_pins = v
_pins = [self.pins_dict[ii]['index'] for ii in _pins]
d = {
'name': k,
'pins': _pins,
'index': i
}
for pin in _pins:
self.pins[pin]['net_id'] = i
self.nets.append(d)
i += 1
pass
def get_location(self, x, y):
return tuple([(x + self.x_offset), (y + self.y_offset)])
def show(self, layer_id):
img = np.zeros(((self.max_x + 1), (self.max_y + 1), 3), dtype=np.uint8)
for pin in self.pins:
x, y = self.get_location(pin['x_int'], pin['y_int'])
print(pin['x_int'], pin['y_int'], x, y)
img[x - 5:x + 5, y - 5:y + 5] = (0, 0, 255)
# cv2.circle(img, (y, x), 10, (0, 0, 255), 10)
for net in self.nets:
pass
cv2.imwrite('img.jpg', img)
# cv2.imshow('img', img)
# plt.figure("Image") # 图像窗口名称
# plt.imshow(img)
# plt.axis('on') # 关掉坐标轴为 off
# plt.title('image') # 图像题目
#
# # 必须有这个，要不然无法显示
# plt.show()