def __init__(self):
cnf = config.CONFIG()
# with open(cnf.topologyJson,'r') as json_data:
# myjson = json.load(json_data)
# json_data.close()
#
f = open(cnf.topologyJson, 'r')
txtjson = f.read()
f.close()
txtjson = txtjson.replace("Entity.ENTITY_FOG", "\"Entity.ENTITY_FOG\"")
txtjson = txtjson.replace("Entity.ENTITY_CLUSTER",
"\"Entity.ENTITY_CLUSTER\"")
myjson = json.loads(txtjson)
print myjson
t = Topology()
t.load(myjson)
devDistanceMatrix = [[0 for j in xrange(len(t.G.nodes))]
for i in xrange(len(t.G.nodes))]
for i in range(0, len(t.G.nodes)):
for j in range(i, len(t.G.nodes)):
mylength = nx.shortest_path_length(t.G,
source=i,
target=j,
weight="weight")
devDistanceMatrix[i][j] = mylength
devDistanceMatrix[j][i] = mylength
def __init__(self, system, populationSeed, evolutionSeed):
self.system = system
self.cnf = config.CONFIG()
self.populationSize = self.cnf.populationSize
self.populationPt = pop.POPULATION(self.populationSize)
self.mutationProbability = self.cnf.mutationProbability
self.rndPOP = random.Random()
self.rndEVOL = random.Random()
self.rndPOP.seed(populationSeed)
self.rndEVOL.seed(evolutionSeed)
self.autoAjustedWeight = True
self.spreadWeight = 1.0
self.makespanWeight = 1.0
self.spreadMax = 0
self.makespanMin = float('inf')
self.TMPspreadMax = 0
self.TMPmakespanMin = float('inf')
#numApps=int(sys.argv[1])
#networkTopology=sys.argv[2]
#gatype=sys.argv[3]
#executionId=sys.argv[4]
#gatype = 'nsga2'
numApps = 10
networkTopology = 'scenario/barabasi100.graphml'
networkTopology = 'nxgenerated.500'
executionId = 'moead500-10'
gatype = 'moead'
#executionId= datetime.now().strftime('%Y%m%d%H%M%S')
file_path = "./" + executionId
cnf = config.CONFIG()
if cnf.storeData:
if not os.path.exists(file_path):
os.makedirs(file_path)
outputCSV = open(file_path + '/execution_data.csv', 'wb')
strTitle = "topology;algorithm;numapss;total;wspr;wmak;wres;spread;makespan;resources"
outputCSV.write(strTitle + "\n")
f_stdout = open('./log.txt', 'wb')
#networkTopologyStr = networkTopology[networkTopology.find("/")+1:networkTopology.find(".")]
networkTopologyStr = networkTopology
cnf = config.CONFIG()
cnf.topologyGraphml = networkTopology
cnf.numberOfReplicatedApps = numApps
system = systemmodel.SYSTEMMODEL(cnf)
import cv2
import numpy as np
import ip_preprocessing as pre
import line
import CONFIG as cfg
import line_to_block as l2b
import code_generation as code
C = cfg.CONFIG()
org, gray = pre.read_img('input/4.png', (0, 3000)) # cut out partial img
binary = pre.preprocess(gray, 1)
# detect lines
lines_h, lines_v = line.detect_line(binary, C.LINE_MIN_LENGTH_HORIZONTAL,
C.LINE_MIN_LENGTH_VERTICAL,
C.LINE_MAX_THICKNESS,
C.LINE_MAX_CROSS_POINT)
# divide blocks
blocks_h = l2b.divide_blocks_by_lines(lines_h, org.shape[0],
C.BLOCK_MIN_HEIGHT)
# calculate the hierarchy among blocks
hierarchies_h = l2b.hierarchical_blocks(blocks_h)
# generate code according to hierarchy
html = code.gen_html(blocks_h, hierarchies_h)
# save results
broad_line = np.zeros(org.shape, dtype=np.uint8)
broad_block = np.zeros(org.shape, dtype=np.uint8)
line.draw_line(broad_line, lines_h, (0, 255, 0))
