def generate_outputfile(infile, outfile, prog_name):
generate_preamble(outfile)
nettype, tree = parse_xml(infile, outfile)
algies = tree.findall('Algorithms')
if len(algies) != 1:
raise ValueError
alg_list = algies[0].findall('Algorithm')
weighttype = tree.find('WeightType')
generate_opening(outfile, tree, weighttype.text)
outfile.write('\t// generating algorithms\n')
algorithms.parse_algorithms(alg_list, weighttype, outfile, for_lib=True)
node_list = tree.findall('Nodes/Node')
outfile.write('\t// generating nodes\n')
nodes.parse_nodes(node_list, weighttype, outfile)
outfile.write('\t// generating connections\n')
connection_list = tree.findall('Connections/Connection')
connections.parse_connections(connection_list, weighttype, outfile)
connection_list = tree.findall('Connections/IncomingConnection')
connections.parse_incoming_connections(connection_list, weighttype,
outfile)
connection_list = tree.findall('Connections/OutgoingConnection')
connections.parse_outgoing_connections(connection_list, outfile)
t_end = tree.find('SimulationRunParameter/t_end')
t_step = tree.find('SimulationRunParameter/t_step')
generate_closing(outfile, '(' + t_end.text + ') / ' + t_step.text,
t_step.text, weighttype, tree, prog_name)
python_wrapper(outfile, prog_name)
algorithms.reset_algorithms()
nodes.reset_nodes()
def generate_outputfile(infile, outfile):
generate_preamble(outfile)
nettype, tree = parse_xml(infile,outfile)
outfile.write(nettype)
outfile.write('\t// defining variables\n') # whatever variables are use are global
algies = tree.findall('Algorithms')
if len(algies) != 1:
raise ValueError
alg_list = algies[0].findall('Algorithm')
weighttype = tree.find('WeightType')
generate_opening(outfile, tree, weighttype.text)
outfile.write('\t// generating algorithms\n')
algorithms.parse_algorithms(alg_list,weighttype,outfile)
node_list = tree.findall('Nodes/Node')
outfile.write('\t// generating nodes\n')
nodes.parse_nodes(node_list,weighttype,outfile)
outfile.write('\t// generating connections\n')
connection_list = tree.findall('Connections/Connection')
connections.parse_connections(connection_list,weighttype,outfile)
connection_list = tree.findall('Connections/IncomingConnection')
connections.parse_incoming_connections(connection_list,weighttype,outfile)
connection_list = tree.findall('Connections/OutgoingConnection')
connections.parse_outgoing_connections(connection_list,outfile)
generate_closing(outfile, weighttype.text, tree)
algorithms.reset_algorithms()
nodes.reset_nodes()
def find_node(transaction_id, addr):
nodes = parse_nodes(r[b'nodes'])
for node in nodes:
self.spider.routetab.insert(node)
self.spider.send_worker.req_find_node(self.spider.node_id,
node.addr)
logging.debug('Recv resp(find_node) from %s:%d' % addr)
def generate_outputfile(infile, outfile, enable_root):
generate_preamble(outfile)
nettype, tree = parse_xml(infile, outfile)
outfile.write(nettype)
outfile.write(
'\t// defining variables\n') # whatever variables are use are global
variable_list = tree.findall('Variable')
variables.parse_variables(variable_list, outfile)
algies = tree.findall('Algorithms')
if len(algies) != 1:
raise ValueError
alg_list = algies[0].findall('Algorithm')
weighttype = tree.find('WeightType')
generate_opening(outfile)
outfile.write('\t// generating algorithms\n')
algorithms.parse_algorithms(alg_list, weighttype, outfile)
node_list = tree.findall('Nodes/Node')
outfile.write('\t// generating nodes\n')
nodes.parse_nodes(node_list, weighttype, outfile)
outfile.write('\t// generating connections\n')
connection_list = tree.findall('Connections/Connection')
connections.parse_connections(connection_list, weighttype, outfile)
outfile.write('\t// generation simulation parameter\n')
simhand = tree.find('SimulationIO')
simulation.parse_simulation(simhand, outfile, enable_root)
simpar = tree.find('SimulationRunParameter')
simulation.parse_parameter(simpar, outfile)
t_begin = tree.find('SimulationRunParameter/t_begin')
t_end = tree.find('SimulationRunParameter/t_end')
t_step = tree.find('SimulationRunParameter/t_step')
m = tree.find('WeightType')
s = m.text
generate_closing(
outfile,
'(' + t_end.text + ' - ' + t_begin.text + ') / ' + t_step.text, s,
t_step.text)
algorithms.reset_algorithms()
nodes.reset_nodes()
def generate_outputfile(infile, outfile):
generate_preamble(outfile)
nettype, tree = parse_xml(infile, outfile)
outfile.write(nettype)
alg_list = tree.findall('Algorithms/AbstractAlgorithm')
weighttype = tree.find('WeightType')
generate_opening(outfile)
outfile.write('\t// generating algorithms\n')
algorithms.parse_algorithms(alg_list, weighttype, outfile)
node_list = tree.findall('Nodes/Node')
outfile.write('\t// generating nodes\n')
nodes.parse_nodes(node_list, weighttype, outfile)
outfile.write('\t// generating connections\n')
connection_list = tree.findall('Connections/Connection')
connections.parse_connections(connection_list, weighttype, outfile)
outfile.write('\t// generation simulation parameter\n')
simhand = tree.find('SimulationIO')
simulation.parse_simulation(simhand, outfile)
simpar = tree.find('SimulationRunParameter')
simulation.parse_parameter(simpar, outfile)
generate_closing(outfile)
algorithms.reset_algorithms()
nodes.reset_nodes()
def generate_outputfile(infile, outfile):
generate_preamble(outfile)
nettype, tree = parse_xml(infile,outfile)
outfile.write(nettype)
alg_list = tree.findall('Algorithms/AbstractAlgorithm')
weighttype = tree.find('WeightType')
generate_opening(outfile)
outfile.write('\t// generating algorithms\n')
algorithms.parse_algorithms(alg_list,weighttype,outfile)
node_list = tree.findall('Nodes/Node')
outfile.write('\t// generating nodes\n')
nodes.parse_nodes(node_list,weighttype,outfile)
outfile.write('\t// generating connections\n')
connection_list = tree.findall('Connections/Connection')
connections.parse_connections(connection_list,weighttype,outfile)
outfile.write('\t// generation simulation parameter\n')
simhand = tree.find('SimulationIO')
simulation.parse_simulation(simhand,outfile)
simpar = tree.find('SimulationRunParameter')
simulation.parse_parameter(simpar,outfile)
generate_closing(outfile)
algorithms.reset_algorithms()
nodes.reset_nodes()