本文整理汇总了Python中Graph.print_graph方法的典型用法代码示例。如果您正苦于以下问题：Python Graph.print_graph方法的具体用法？Python Graph.print_graph怎么用？Python Graph.print_graph使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Graph的用法示例。
在下文中一共展示了Graph.print_graph方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_connectivity
# 需要导入模块: import Graph [as 别名]
# 或者: from Graph import print_graph [as 别名]
def test_connectivity():
conn_dict = {}
conn_lst = []
for i in range(1000):
graph, laplacian = random_graph(4)
con = get_connectivity(laplacian)
conn_lst.append(nx.average_node_connectivity(graph))
conn_lst.sort()
print con
# if con < 0.74 and con>0.73:
# Graph.print_graph(graph)
if 1.43 < con < 2.45:
Graph.print_graph(graph)
con = abs(con)
con = round(con, 3)
if con not in conn_dict:
conn_dict[con] = 0
conn_dict[con] += 1示例2: generate_cfg
# 需要导入模块: import Graph [as 别名]
# 或者: from Graph import print_graph [as 别名]
#.........这里部分代码省略.........
for i in range(start_clnum, end_clnum + 1):
pc = self.get_pc(i)
asm = self.get_disasm(pc)
if enter_call == 0:
if pc == start_addr:
if ret_addr is None:
end_addr = self.get_ret_addr(i - 1)
print hex(end_addr)
else:
end_addr = ret_addr
enter_call = 1
trace = [(i, pc, asm)]
else:
if end_addr == pc:
print 'exit call'
enter_call = 0
traces.append(trace)
trace = []
if enter_sub_call == 0:
trace.append((i, pc, asm))
if asm.startswith('call'):
enter_sub_call = 1
sub_call_ret = self.get_ret_addr(i)
else:
if pc == sub_call_ret:
trace.append((i, pc, asm))
enter_sub_call = 0
graph = Graph()
pcs = []
for trace in traces:
print trace
for trace in traces:
exist_node = None
exist_index = 1
new_node = None
for ins in trace:
if ins[1] not in pcs:
pcs.append(ins[1])
if exist_node is None:
if new_node is None:
new_node = Node([Assemble(ins[1], ins[2])])
graph.add_node(new_node)
else:
new_node.add_asm(Assemble(ins[1], ins[2]))
else:
new_node = Node([Assemble(ins[1], ins[2])])
graph.add_node(new_node)
if len(exist_node.asm_seqs) == exist_index:
graph.add_edge(exist_node, new_node)
else:
node1, node2 = graph.split_node(exist_node, exist_index, count=exist_node.count - 1)
graph.add_edge(node1, new_node)
exist_node = None
exist_index = 0
else:
if exist_node is None:
if new_node is None:
exist_node = graph.search_and_split(ins[1])
exist_node.add_count()
exist_index = 1
else:
node, index = graph.search_node(ins[1])
if index == 0:
graph.add_edge(new_node, node)
node2 = node
else:
node1, node2 = graph.split_node(node, index)
if node == new_node:
graph.add_edge(node2, node2)
else:
graph.add_edge(new_node, node2)
new_node = None
exist_node = node2
node2.add_count()
exist_index = 1
else:
if new_node is None:
if len(exist_node.asm_seqs) == exist_index:
node3 = graph.search_and_split(ins[1])
graph.add_edge(exist_node, node3)
exist_node = node3
node3.add_count()
exist_index = 1
else:
if exist_node.asm_seqs[exist_index].addr == ins[1]:
exist_index += 1
else:
node1, node2 = graph.split_node(exist_node, exist_index, count=exist_node.count-1)
node3 = graph.search_and_split(ins[1])
graph.add_edge(node1, node3)
exist_node = node3
node3.add_count()
exist_index = 1
else:
print 'impossible2', ins
graph.print_graph('tracer.png')示例3: Interpreter
# 需要导入模块: import Graph [as 别名]
# 或者: from Graph import print_graph [as 别名]
#.........这里部分代码省略.........
--- Display graph ---
Display a bar or pie graph that visually represents the data
type "display_graph <chart-type> <data-type>"
ARGUMENTS:
chart-type: type of graph. Can be either 'pie' or 'bar'
data-type: the data you want to show. For 'pie' chart can be 'gender, bmi or age'.
For 'bar' graph can be 'salary by gender'
"""
try:
argss = []
args = getopt.getopt(args, "t:o:", ["graph-type=", "option="])
# if new graph is none then create argss as regular else append args from create_graph
if my_graph is None:
argss = args[1].split()
else:
argss.append(args[1][0])
argss.append(args[1][1])
if len(argss) > 2 or len(argss) < 2:
raise TypeError
if argss[0] == 'pie' and argss[1] != 'gender' and argss[1] != 'bmi' and argss[1] != 'age' \
or argss[0] == 'bar' and argss[1] != 'salary-by-gender' and argss[1] != 'salary-by-age':
raise ValueError
except TypeError:
print('This functions takes exactly one parameters')
return
except ValueError:
print('Ensure Graph Value Option Parameter is correctly spelt')
return
if my_graph is None:
my_graph = self.graph.build_graph(argss)
self.graph.print_graph(my_graph)
del my_graph
else:
self.graph.print_graph(my_graph)
# Brendan Holt
# Used to create a graph by calling collecting user defined arguments -
# and passing them to build_graph in the graph class
def do_create_graph(self, args):
"""
--- Create Graph ---
Create a bar or pie graph that visually represent the chosen data
type "create_graph <chart-type> <data-type>"
ARGUMENTS:
chart-type: type of graph. Can be either 'pie' or 'bar'
data-type: the data you want to show. For 'pie' chart can be 'gender, bmi or age'.
For 'bar' graph can be 'salary by gender'
"""
try:
args = getopt.getopt(args, "t:o:", ["graph-type=", "option="])
argss = args[1].split()
# Raises exception if the incorrect amount of args have been entered
if len(argss) != 2:
raise TypeError
# Raises exception if the args have been incorrectly typed
if argss[0] == 'pie' and argss[1] != 'gender' and argss[1] != 'bmi' and argss[1] != 'age' \
or argss[0] == 'bar' and argss[1] != 'salary-by-gender' and argss[1] != 'salary-by-age':
raise ValueError
except TypeError:
print('This functions takes exactly two parameters')
return