Files
cea-sec-miasm/test/analysis/depgraph.py
T
2015-02-20 19:35:32 +01:00

603 lines
19 KiB
Python

from miasm2.expression.expression import ExprId, ExprInt32, ExprAff
from miasm2.core.asmbloc import asm_label
from miasm2.ir.analysis import ira
from miasm2.ir.ir import ir, irbloc
from miasm2.core.graph import DiGraph
from miasm2.analysis.depgraph import DependencyNode, DependencyGraph, DependencyDict, DependencyGraph_NoMemory
from pdb import pm
a = ExprId("a")
b = ExprId("b")
c = ExprId("c")
d = ExprId("d")
a_init = ExprId("a_init")
b_init = ExprId("b_init")
c_init = ExprId("c_init")
d_init = ExprId("d_init")
pc = ExprId("pc")
sp = ExprId("sp")
cst1 = ExprInt32(0x11)
cst2 = ExprInt32(0x12)
cst3 = ExprInt32(0x13)
lbl0 = asm_label("lbl0")
lbl1 = asm_label("lbl1")
lbl2 = asm_label("lbl2")
lbl3 = asm_label("lbl3")
lbl4 = asm_label("lbl4")
lbl5 = asm_label("lbl5")
lbl6 = asm_label("lbl6")
def gen_irbloc(lbl, exprs):
lines = [None for i in xrange(len(exprs))]
irb = irbloc(lbl, exprs, lines)
return irb
class Regs(object):
regs_init = {a: a_init, b: b_init, c: c_init, d: d_init}
class Arch(object):
regs = Regs()
def getpc(self, attrib):
return pc
def getsp(self, attrib):
return sp
class IRATest(ir, ira):
def __init__(self, symbol_pool=None):
arch = Arch()
ir.__init__(self, arch, 32, symbol_pool)
self.IRDst = pc
def gen_graph(self):
return
class GraphTest(DiGraph):
def __init__(self, ira):
self.ira = ira
super(GraphTest, self).__init__()
def __eq__(self, graph):
if self._nodes != graph._nodes:
return False
if sorted(self._edges) != sorted(graph._edges):
return False
return True
def gen_graph(self):
return
def node2str(self, node):
if not node in self.ira.blocs:
return str(node)
else:
return str(self.ira.blocs[node])
class DepNodeTest(DiGraph):
def __init__(self, ira):
self.ira = ira
super(DepNodeTest, self).__init__()
def __eq__(self, graph):
if self._nodes != graph._nodes:
return False
if sorted(self._edges) != sorted(graph._edges):
return False
return True
def node2str(self, node):
assert(node.label in self.ira.blocs)
out = "(%s, %s, %s)\\l"%(node.label.name,
node.element,
node.line_nb)
if not (0 <= node.line_nb < len(self.ira.blocs[node.label].irs)):
return out
exprs = self.ira.blocs[node.label].irs[node.line_nb]
exprs_str = '\\l'.join([str(x) for x in exprs])
return "%s %s"%(out, exprs_str)
# Test structures
print "[+] Test structures"
print "[+] Test DependencyDict"
dd0 = DependencyDict(lbl0, [])
depnodes_0 = [DependencyNode(lbl0, a, i) for i in xrange(10)][::-1]
## Heads
assert(list(dd0.heads()) == [])
assert(dd0.is_head(depnodes_0[-1]) == True)
assert(dd0.is_head(depnodes_0[0]) == False)
dd0.cache[depnodes_0[-1]] = set(depnodes_0[-1:])
assert(list(dd0.heads()) == [depnodes_0[-1]])
## Extend
dd1 = dd0.extend(lbl1)
assert(dd1.label == lbl1)
assert(dd1.history == [dd0])
assert(dd1.cache == dd0.cache)
assert(dd1.pending == set())
assert(dd1 != dd0)
dd1.cache[depnodes_0[4]] = set(depnodes_0[5:9])
assert(dd1.cache != dd0.cache)
dd2 = dd0.copy()
assert(dd2.label == lbl0)
assert(dd2.history == [])
assert(dd2.cache == dd0.cache)
assert(dd2.pending == dd0.pending)
assert(dd2 == dd0)
dd2.cache[depnodes_0[4]] = set(depnodes_0[5:9])
assert(dd2.cache != dd0.cache)
print "[+] DependencyDict OK !"
print "[+] Structures OK !"
# graph 1
g1_ira = IRATest()
g1_ira.g = GraphTest(g1_ira)
g1_irb0 = gen_irbloc(lbl0, [ [ExprAff(c, cst1)] ])
g1_irb1 = gen_irbloc(lbl1, [ [ExprAff(b, c)] ])
g1_irb2 = gen_irbloc(lbl2, [ [ExprAff(a, b)] ])
g1_ira.g.add_uniq_edge(g1_irb0.label, g1_irb1.label)
g1_ira.g.add_uniq_edge(g1_irb1.label, g1_irb2.label)
g1_ira.blocs = dict([(irb.label, irb) for irb in [g1_irb0, g1_irb1, g1_irb2]])
# graph 2
g2_ira = IRATest()
g2_ira.g = GraphTest(g2_ira)
g2_irb0 = gen_irbloc(lbl0, [ [ExprAff(c, cst1)] ])
g2_irb1 = gen_irbloc(lbl1, [ [ExprAff(b, cst2)] ])
g2_irb2 = gen_irbloc(lbl2, [ [ExprAff(a, b+c)] ])
g2_ira.g.add_uniq_edge(g2_irb0.label, g2_irb1.label)
g2_ira.g.add_uniq_edge(g2_irb1.label, g2_irb2.label)
g2_ira.blocs = dict([(irb.label, irb) for irb in [g2_irb0, g2_irb1, g2_irb2]])
# graph 3
g3_ira = IRATest()
g3_ira.g = GraphTest(g3_ira)
g3_irb0 = gen_irbloc(lbl0, [ [ExprAff(c, cst1)] ])
g3_irb1 = gen_irbloc(lbl1, [ [ExprAff(b, cst2)] ])
g3_irb2 = gen_irbloc(lbl2, [ [ExprAff(b, cst3)] ])
g3_irb3 = gen_irbloc(lbl3, [ [ExprAff(a, b+c)] ])
g3_ira.g.add_uniq_edge(g3_irb0.label, g3_irb1.label)
g3_ira.g.add_uniq_edge(g3_irb0.label, g3_irb2.label)
g3_ira.g.add_uniq_edge(g3_irb1.label, g3_irb3.label)
g3_ira.g.add_uniq_edge(g3_irb2.label, g3_irb3.label)
g3_ira.blocs = dict([(irb.label, irb) for irb in [g3_irb0, g3_irb1,
g3_irb2, g3_irb3]])
# graph 4
g4_ira = IRATest()
g4_ira.g = GraphTest(g4_ira)
g4_irb0 = gen_irbloc(lbl0, [ [ExprAff(c, cst1)] ])
g4_irb1 = gen_irbloc(lbl1, [ [ExprAff(c, c+cst2)] ])
g4_irb2 = gen_irbloc(lbl2, [ [ExprAff(a, b)] ])
g4_ira.g.add_uniq_edge(g4_irb0.label, g4_irb1.label)
g4_ira.g.add_uniq_edge(g4_irb1.label, g4_irb2.label)
g4_ira.g.add_uniq_edge(g4_irb1.label, g4_irb1.label)
g4_ira.blocs = dict([(irb.label, irb) for irb in [g4_irb0, g4_irb1, g4_irb2]])
# graph 5
g5_ira = IRATest()
g5_ira.g = GraphTest(g5_ira)
g5_irb0 = gen_irbloc(lbl0, [ [ExprAff(b, cst1)] ])
g5_irb1 = gen_irbloc(lbl1, [ [ExprAff(b, b+cst2)] ])
g5_irb2 = gen_irbloc(lbl2, [ [ExprAff(a, b)] ])
g5_ira.g.add_uniq_edge(g5_irb0.label, g5_irb1.label)
g5_ira.g.add_uniq_edge(g5_irb1.label, g5_irb2.label)
g5_ira.g.add_uniq_edge(g5_irb1.label, g5_irb1.label)
g5_ira.blocs = dict([(irb.label, irb) for irb in [g5_irb0, g5_irb1, g5_irb2]])
# graph 6
g6_ira = IRATest()
g6_ira.g = GraphTest(g6_ira)
g6_irb0 = gen_irbloc(lbl0, [ [ExprAff(b, cst1)] ])
g6_irb1 = gen_irbloc(lbl1, [ [ExprAff(a, b)] ])
g6_ira.g.add_uniq_edge(g6_irb0.label, g6_irb1.label)
g6_ira.g.add_uniq_edge(g6_irb1.label, g6_irb1.label)
g6_ira.blocs = dict([(irb.label, irb) for irb in [g6_irb0, g6_irb1]])
# graph 7
g7_ira = IRATest()
g7_ira.g = GraphTest(g7_ira)
g7_irb0 = gen_irbloc(lbl0, [ [ExprAff(c, cst1)] ])
g7_irb1 = gen_irbloc(lbl1, [ [ExprAff(b, c)], [ExprAff(a, b)] ])
g7_irb2 = gen_irbloc(lbl2, [ [ExprAff(d, a)] ])
g7_ira.g.add_uniq_edge(g7_irb0.label, g7_irb1.label)
g7_ira.g.add_uniq_edge(g7_irb1.label, g7_irb1.label)
g7_ira.g.add_uniq_edge(g7_irb1.label, g7_irb2.label)
g7_ira.blocs = dict([(irb.label, irb) for irb in [g7_irb0, g7_irb1, g7_irb2]])
# graph 8
g8_ira = IRATest()
g8_ira.g = GraphTest(g8_ira)
g8_irb0 = gen_irbloc(lbl0, [ [ExprAff(c, cst1)] ])
g8_irb1 = gen_irbloc(lbl1, [ [ExprAff(b, c)], [ExprAff(c, d)] ])
g8_irb2 = gen_irbloc(lbl2, [ [ExprAff(a, b)] ])
g8_ira.g.add_uniq_edge(g8_irb0.label, g8_irb1.label)
g8_ira.g.add_uniq_edge(g8_irb1.label, g8_irb1.label)
g8_ira.g.add_uniq_edge(g8_irb1.label, g8_irb2.label)
g8_ira.blocs = dict([(irb.label, irb) for irb in [g8_irb0, g8_irb1, g8_irb2]])
# graph 9 is graph 8
# graph 10
g10_ira = IRATest()
g10_ira.g = GraphTest(g10_ira)
g10_irb1 = gen_irbloc(lbl1, [ [ExprAff(b, b+cst2)] ])
g10_irb2 = gen_irbloc(lbl2, [ [ExprAff(a, b)] ])
g10_ira.g.add_uniq_edge(g10_irb1.label, g10_irb2.label)
g10_ira.g.add_uniq_edge(g10_irb1.label, g10_irb1.label)
g10_ira.blocs = dict([(irb.label, irb) for irb in [g10_irb1, g10_irb2]])
# Test graph 1
g1_test1 = DepNodeTest(g1_ira)
g1_test1_dn1 = DependencyNode(g1_irb2.label, a, len(g1_irb2.irs))
g1_test1_dn2 = DependencyNode(g1_irb2.label, b, 0)
g1_test1_dn3 = DependencyNode(g1_irb1.label, c, 0)
g1_test1_dn4 = DependencyNode(g1_irb0.label, cst1, 0)
g1_test1.add_uniq_edge(g1_test1_dn4, g1_test1_dn3)
g1_test1.add_uniq_edge(g1_test1_dn3, g1_test1_dn2)
g1_test1.add_uniq_edge(g1_test1_dn2, g1_test1_dn1)
g1_input = (set([g1_test1_dn1]), set([g1_irb0.label]))
g1_output1 = {"graph": g1_test1,
"emul": {a: cst1},
"unresolved": set(),
"has_loop": False}
# Test graph 2
g2_test1 = DepNodeTest(g2_ira)
g2_test1_dn1 = DependencyNode(g2_irb2.label, a, len(g2_irb2.irs))
g2_test1_dn2 = DependencyNode(g2_irb2.label, b, 0)
g2_test1_dn3 = DependencyNode(g2_irb2.label, c, 0)
g2_test1_dn4 = DependencyNode(g2_irb1.label, cst2, 0)
g2_test1_dn5 = DependencyNode(g2_irb0.label, cst1, 0)
g2_test1.add_uniq_edge(g2_test1_dn5, g2_test1_dn3)
g2_test1.add_uniq_edge(g2_test1_dn4, g2_test1_dn2)
g2_test1.add_uniq_edge(g2_test1_dn2, g2_test1_dn1)
g2_test1.add_uniq_edge(g2_test1_dn3, g2_test1_dn1)
g2_input = (set([g2_test1_dn1]), set([g2_irb0.label]))
g2_output1 = {"graph": g2_test1,
"emul": {a: ExprInt32(int(cst1.arg) + int(cst2.arg))},
"unresolved": set(),
"has_loop": False}
# Test graph 3
g3_test1_0 = DepNodeTest(g3_ira)
g3_test1_1 = DepNodeTest(g3_ira)
g3_test1_0_dn1 = DependencyNode(g3_irb3.label, a, len(g3_irb3.irs))
g3_test1_0_dn2 = DependencyNode(g3_irb3.label, b, 0)
g3_test1_0_dn3 = DependencyNode(g3_irb3.label, c, 0)
g3_test1_0_dn4 = DependencyNode(g3_irb2.label, cst3, 0)
g3_test1_0_dn5 = DependencyNode(g3_irb0.label, cst1, 0)
g3_test1_1_dn1 = DependencyNode(g3_irb3.label, a, len(g3_irb3.irs))
g3_test1_1_dn2 = DependencyNode(g3_irb3.label, b, 0)
g3_test1_1_dn3 = DependencyNode(g3_irb3.label, c, 0)
g3_test1_1_dn4 = DependencyNode(g3_irb1.label, cst2, 0)
g3_test1_1_dn5 = DependencyNode(g3_irb0.label, cst1, 0)
g3_test1_0.add_uniq_edge(g3_test1_0_dn5, g3_test1_0_dn3)
g3_test1_0.add_uniq_edge(g3_test1_0_dn4, g3_test1_0_dn2)
g3_test1_0.add_uniq_edge(g3_test1_0_dn2, g3_test1_0_dn1)
g3_test1_0.add_uniq_edge(g3_test1_0_dn3, g3_test1_0_dn1)
g3_test1_1.add_uniq_edge(g3_test1_1_dn5, g3_test1_1_dn3)
g3_test1_1.add_uniq_edge(g3_test1_1_dn4, g3_test1_1_dn2)
g3_test1_1.add_uniq_edge(g3_test1_1_dn2, g3_test1_1_dn1)
g3_test1_1.add_uniq_edge(g3_test1_1_dn3, g3_test1_0_dn1)
g3_input = (set([g3_test1_0_dn1]), set([g3_irb0.label]))
g3_output1 = {"graph": g3_test1_0,
"emul": {a: ExprInt32(int(cst1.arg) + int(cst3.arg))},
"unresolved": set(),
"has_loop": False}
g3_output2 = {"graph": g3_test1_1,
"emul": {a: ExprInt32(int(cst1.arg) + int(cst2.arg))},
"unresolved": set(),
"has_loop": False}
# Test graph 4
g4_test1 = DepNodeTest(g4_ira)
g4_test1_dn1 = DependencyNode(g4_irb2.label, a, len(g2_irb0.irs))
g4_test1_dn2 = DependencyNode(g4_irb2.label, b, 0)
g4_test1_dn3 = DependencyNode(g4_irb0.label, b, 0)
g4_test1.add_uniq_edge(g4_test1_dn2, g4_test1_dn1)
g4_input = (set([g4_test1_dn1]), set([g4_irb0.label]))
g4_output1 = {"graph": g4_test1,
"emul": {a: b_init},
"unresolved": set([g4_test1_dn3]),
"has_loop": False}
# Test graph 5
g5_test1 = DepNodeTest(g5_ira)
g5_test1_dn1 = DependencyNode(g5_irb2.label, a, len(g5_irb2.irs))
g5_test1_dn2 = DependencyNode(g5_irb2.label, b, 0)
g5_test1_dn3 = DependencyNode(g5_irb1.label, b, 0)
g5_test1_dn4 = DependencyNode(g5_irb0.label, cst1, 0)
g5_test1_dn5 = DependencyNode(g5_irb1.label, cst2, 0)
g5_test1.add_uniq_edge(g5_test1_dn4, g5_test1_dn3)
g5_test1.add_uniq_edge(g5_test1_dn3, g5_test1_dn2)
g5_test1.add_uniq_edge(g5_test1_dn5, g5_test1_dn2)
g5_test1.add_uniq_edge(g5_test1_dn2, g5_test1_dn1)
g5_input = (set([g5_test1_dn1]), set([g5_irb0.label]))
g5_output1 = {"graph": g5_test1,
"emul": {},
"unresolved": set(),
"has_loop": True}
# Test graph 6
g6_test1_0 = DepNodeTest(g6_ira)
g6_test1_0_dn1 = DependencyNode(g6_irb1.label, a, len(g6_irb1.irs))
g6_test1_0_dn2 = DependencyNode(g6_irb1.label, b, 0)
g6_test1_0_dn3 = DependencyNode(g6_irb0.label, cst1, 0)
g6_test1_0.add_uniq_edge(g6_test1_0_dn3, g6_test1_0_dn2)
g6_test1_0.add_uniq_edge(g6_test1_0_dn2, g6_test1_0_dn1)
g6_input = (set([g6_test1_0_dn1]), set([g6_irb0.label]))
g6_output1 = {"graph": g6_test1_0,
"emul": {a: cst1},
"unresolved": set(),
"has_loop": True}
# Test graph 7
g7_test1_0 = DepNodeTest(g7_ira)
g7_test1_0_dn1 = DependencyNode(g7_irb2.label, a, len(g7_irb2.irs))
g7_test1_0_dn2 = DependencyNode(g7_irb1.label, b, 1)
g7_test1_0_dn3 = DependencyNode(g7_irb1.label, c, 0)
g7_test1_0_dn4 = DependencyNode(g7_irb0.label, cst1, 0)
g7_test1_0.add_uniq_edge(g7_test1_0_dn4, g7_test1_0_dn3)
g7_test1_0.add_uniq_edge(g7_test1_0_dn3, g7_test1_0_dn2)
g7_test1_0.add_uniq_edge(g7_test1_0_dn2, g7_test1_0_dn1)
g7_input = (set([g7_test1_0_dn1]), set([g7_irb0.label]))
g7_output1 = {"graph": g7_test1_0,
"emul": {a: cst1},
"unresolved": set(),
"has_loop": True}
# Test graph 8
g8_test1_0 = DepNodeTest(g8_ira)
g8_test1_1 = DepNodeTest(g8_ira)
g8_test1_0_dn1 = DependencyNode(g8_irb2.label, a, len(g8_irb2.irs))
g8_test1_0_dn2 = DependencyNode(g8_irb2.label, b, 0)
g8_test1_0_dn3 = DependencyNode(g8_irb1.label, c, 0)
g8_test1_0_dn4 = DependencyNode(g8_irb0.label, cst1, 0)
g8_test1_1_dn1 = DependencyNode(g8_irb2.label, a, len(g8_irb2.irs))
g8_test1_1_dn2 = DependencyNode(g8_irb2.label, b, 0)
g8_test1_1_dn3 = DependencyNode(g8_irb1.label, c, 0)
g8_test1_1_dn4 = DependencyNode(g8_irb1.label, d, 1)
g8_test1_1_dn5 = DependencyNode(g8_irb0.label, d, 0)
g8_test1_0.add_uniq_edge(g8_test1_0_dn4, g8_test1_0_dn3)
g8_test1_0.add_uniq_edge(g8_test1_0_dn3, g8_test1_0_dn2)
g8_test1_0.add_uniq_edge(g8_test1_0_dn2, g8_test1_0_dn1)
g8_test1_1.add_uniq_edge(g8_test1_1_dn4, g8_test1_1_dn3)
g8_test1_1.add_uniq_edge(g8_test1_1_dn3, g8_test1_1_dn2)
g8_test1_1.add_uniq_edge(g8_test1_1_dn2, g8_test1_1_dn1)
g8_input = (set([g8_test1_0_dn1]), set([g3_irb0.label]))
g8_output1 = {"graph": g8_test1_0,
"emul": {a: cst1},
"unresolved": set(),
"has_loop": False}
g8_output2 = {"graph": g8_test1_1,
"emul": {a: d_init},
"unresolved": set([g8_test1_1_dn5]),
"has_loop": True}
# Test 9: Multi elements
g9_test1_0 = DepNodeTest(g8_ira)
g9_test1_1 = DepNodeTest(g8_ira)
g9_test1_0_dn1 = DependencyNode(g8_irb2.label, a, len(g8_irb2.irs))
g9_test1_0_dn2 = DependencyNode(g8_irb2.label, b, 0)
g9_test1_0_dn3 = DependencyNode(g8_irb1.label, c, 0)
g9_test1_0_dn4 = DependencyNode(g8_irb0.label, cst1, 0)
g9_test1_0_dn5 = DependencyNode(g8_irb2.label, c, len(g8_irb2.irs))
g9_test1_0_dn6 = DependencyNode(g8_irb1.label, d, 1)
g9_test1_1_dn1 = DependencyNode(g8_irb2.label, a, len(g8_irb2.irs))
g9_test1_1_dn2 = DependencyNode(g8_irb2.label, b, 0)
g9_test1_1_dn3 = DependencyNode(g8_irb1.label, c, 0)
g9_test1_1_dn4 = DependencyNode(g8_irb1.label, d, 1)
g9_test1_1_dn5 = DependencyNode(g8_irb2.label, c, len(g8_irb2.irs))
g9_test1_0.add_uniq_edge(g9_test1_0_dn4, g9_test1_0_dn3)
g9_test1_0.add_uniq_edge(g9_test1_0_dn3, g9_test1_0_dn2)
g9_test1_0.add_uniq_edge(g9_test1_0_dn2, g9_test1_0_dn1)
g9_test1_0.add_uniq_edge(g9_test1_0_dn6, g9_test1_0_dn5)
g9_test1_1.add_uniq_edge(g9_test1_1_dn4, g9_test1_1_dn5)
g9_test1_1.add_uniq_edge(g9_test1_1_dn4, g9_test1_1_dn3)
g9_test1_1.add_uniq_edge(g9_test1_1_dn3, g9_test1_1_dn2)
g9_test1_1.add_uniq_edge(g9_test1_1_dn2, g9_test1_1_dn1)
g9_input = (set([g9_test1_0_dn1, g9_test1_0_dn5]), set([g8_irb0.label]))
g9_output1 = {"graph": g9_test1_0,
"emul": {a: cst1,
c: d_init},
"unresolved": set([g8_test1_1_dn5]),
"has_loop": False}
g9_output2 = {"graph": g9_test1_1,
"emul": {a: d_init,
c: d_init},
"unresolved": set([g8_test1_1_dn5]),
"has_loop": True}
# Test 10: loop at beginning
g10_test1 = DepNodeTest(g10_ira)
g10_test1_dn1 = DependencyNode(g10_irb2.label, a, len(g10_irb2.irs))
g10_test1_dn2 = DependencyNode(g10_irb2.label, b, 0)
g10_test1_dn3 = DependencyNode(g10_irb1.label, b, 0)
g10_test1_dn4 = DependencyNode(g10_irb1.label, cst2, 0)
g10_test1.add_uniq_edge(g10_test1_dn3, g10_test1_dn2)
g10_test1.add_uniq_edge(g10_test1_dn4, g10_test1_dn2)
g10_test1.add_uniq_edge(g10_test1_dn2, g10_test1_dn1)
g10_input = (set([g10_test1_dn1]), set([g10_irb1.label]))
g10_output1 = {"graph": g10_test1,
"emul": {},
"unresolved": set([g10_test1_dn3]),
"has_loop": True}
# Launch tests
for i, test in enumerate([(g1_ira, g1_input, [g1_output1]),
(g2_ira, g2_input, [g2_output1]),
(g3_ira, g3_input, [g3_output1, g3_output2]),
(g4_ira, g4_input, [g4_output1]),
(g5_ira, g5_input, [g5_output1]),
(g6_ira, g6_input, [g6_output1]),
(g7_ira, g7_input, [g7_output1]),
(g8_ira, g8_input, [g8_output1, g8_output2]),
(g8_ira, g9_input, [g9_output1, g9_output2]),
(g10_ira, g10_input, [g10_output1]),
]):
# Extract test elements
print "[+] Test", i+1
g_ira, (depnodes, heads), g_test_list = test
open("graph_%02d.dot" % (i+1), "w").write(g_ira.g.dot())
# Test classes
for g_dep in [DependencyGraph(g_ira),
DependencyGraph_NoMemory(g_ira)]:
print " - Class %s" % g_dep.__class__.__name__
## Test public APIs
for api_i, g_list in enumerate([g_dep.get_fromDepNodes(depnodes, heads),
g_dep.get(list(depnodes)[0].label,
[depnode.element for
depnode in depnodes],
list(depnodes)[0].line_nb,
heads)]):
print " - - API %s" % ("get_fromDepNodes" if api_i == 0 else "get")
### Expand result iterator
g_list = list(g_list)
### Dump outputs graphs for debug means
for j, result in enumerate(g_list):
open("graph_test_%02d_%02d.dot" % (i+1, j), "w").write(result.graph.dot())
### The number of results should be the same
print " - - - number of results"
assert(len(g_list) == len(g_test_list))
### Match the right result (unordered)
for i, result in enumerate(g_list):
print " - - - result %d" % i
found = False
for expected in g_test_list:
if expected["graph"].__eq__(result.graph):
found = True
break
assert(found)
#### @expected is the corresponding result, test for properties
print " - - - - emul"
if not expected["has_loop"]:
assert(expected["emul"] == result.emul())
for element in ["unresolved"]: # TODO: has_loop
print " - - - - %s" % element
assert(expected[element] == getattr(result, element))