def build_resulting_graph(file_name, cfg, dead_blocks):
dead_nodes = frozenset(node for block in dead_blocks
for node in block.nodes)
def dead_label(orig):
return {'dead': True} if orig in dead_nodes else {}
new_node_map = {
node: Digraph.Node(node.name, ___orig=node, **dead_label(node))
for node in cfg.nodes
}
res_graph = Digraph([new_node_map[n] for n in cfg.nodes], [
Digraph.Edge(new_node_map[e.frm], new_node_map[e.to])
for e in cfg.edges
])
def print_orig(orig):
if orig.data.node is not None:
return ('<i>{}</i>'.format(html_render_node(orig.data.node)), )
return ()
def print_dead_code(value):
return ('<font color="{}">{}</font>'.format('red', 'Dead node'), )
with open(file_name, 'w') as f:
f.write(
dot_printer.gen_dot(res_graph, [
dot_printer.DataPrinter('___orig', print_orig),
dot_printer.DataPrinter("dead", print_dead_code)
]))
def build_resulting_graph(file_name, cfg, null_derefs):
def trace_id(trace):
return str(trace)
paths = defaultdict(list)
for trace, derefed, precise in null_derefs:
for node in trace:
paths[node].append((trace, derefed, precise))
new_node_map = {
node: Digraph.Node(
node.name,
___orig=node,
**{
trace_id(trace): (derefed, precise)
for trace, derefed, precise in paths[node]
}
)
for node in cfg.nodes
}
res_graph = Digraph(
[new_node_map[n]
for n in cfg.nodes],
[Digraph.Edge(new_node_map[e.frm], new_node_map[e.to])
for e in cfg.edges]
)
def print_orig(orig):
if orig.data.node is not None:
return (
'<i>{}</i>'.format(html_render_node(orig.data.node)),
)
return ()
def print_path_to_null_deref(value):
derefed, precise = value
qualifier = "" if precise else "potential "
res_str = "path to {}null dereference of {}".format(
qualifier, html_render_node(derefed)
)
return (
'<font color="{}">{}</font>'.format('red', res_str),
)
with open(file_name, 'w') as f:
f.write(dot_printer.gen_dot(res_graph, [
dot_printer.DataPrinter('___orig', print_orig)
] + [
dot_printer.DataPrinter(
trace_id(trace),
print_path_to_null_deref
)
for trace, _, _ in null_derefs
]))
def _save_cfg_to(file_name, cfg):
def render_node(node):
return (_html_render_node(node),) if node is not None else ()
def render_widening_point(is_widening_point):
return (escape('<widening_point>'),) if is_widening_point else ()
with open(file_name, 'w') as f:
f.write(dot_printer.gen_dot(cfg, [
dot_printer.DataPrinter('node', render_node),
dot_printer.DataPrinter('is_widening_point', render_widening_point)
]))
def _build_resulting_graph(file_name, cfg, results, trace_domain, model):
paths = defaultdict(list)
var_set = {
v
for node, state in results.iteritems()
for trace, values in state.iteritems() for v, _ in values.iteritems()
}
for node, state in results.iteritems():
for trace, values in state.iteritems():
paths[frozenset(trace)].append(
Digraph.Node(node.name,
___orig=node,
**{
v.name: value
for v, value in values.iteritems()
if not SyntheticVariable.is_purpose_of(v)
}))
edges = []
for trace, nodes in paths.iteritems():
for node in nodes:
predecessors = [
n for t, ns in paths.iteritems() for n in ns
if trace_domain.le(t, trace)
if n.data.___orig in cfg.ancestors(node.data.___orig)
]
for pred in predecessors:
edges.append(Digraph.Edge(pred, node))
res_graph = Digraph([n for _, nodes in paths.iteritems() for n in nodes],
edges)
def print_orig(orig):
if orig.data.node is not None:
return ('<i>{}</i>'.format(_html_render_node(orig.data.node)), )
return ()
def print_result_builder(v):
return lambda value: ("{} ∈".format(v.name),
escape(model[v].domain.str(value)))
with open(file_name, 'w') as f:
f.write(
dot_printer.gen_dot(
res_graph, [dot_printer.DataPrinter('___orig', print_orig)] + [
dot_printer.DataPrinter(v.name, print_result_builder(v))
for v in var_set
]))
def build_resulting_graph(file_name, cfg, infeasibles):
def trace_id(trace):
return str(trace)
paths = defaultdict(list)
for trace, derefed, precise in infeasibles:
for node in trace:
paths[node].append((trace, derefed, precise))
new_node_map = {
node: Digraph.Node(node.name,
___orig=node,
**{
trace_id(trace): (derefed, precise)
for trace, derefed, precise in paths[node]
})
for node in cfg.nodes
}
res_graph = Digraph([new_node_map[n] for n in cfg.nodes], [
Digraph.Edge(new_node_map[e.frm], new_node_map[e.to])
for e in cfg.edges
])
def print_orig(orig):
if orig.data.node is not None:
return ('<i>{}</i>'.format(html_render_node(orig.data.node)), )
return ()
def print_path_to_infeasible_access(value):
purpose, precise = value
prefix = html_render_node(purpose.accessed_expr)
qualifier = "" if precise else "potential "
res_str = ("path to {}infeasible access {}.{} due to invalid "
"condition on discriminant {}.{}").format(
qualifier, prefix, escape(purpose.field_name), prefix,
escape(purpose.discr_name))
return ('<font color="{}">{}</font>'.format('red', res_str), )
with open(file_name, 'w') as f:
f.write(
dot_printer.gen_dot(
res_graph, [dot_printer.DataPrinter('___orig', print_orig)] + [
dot_printer.DataPrinter(trace_id(trace),
print_path_to_infeasible_access)
for trace, _, _ in infeasibles
]))
def export_schedule(schedule, export_path):
"""
Exports the given schedule as a dot graph. Each horizontally aligned
elements can be ran in parallel.
:param lalcheck.tools.scheduler.Schedule schedule: The schedule to export.
:param str export_path: The path to the dot file to write. The .dot
extension is appended here.
"""
nice_colors = [
'#093145', '#107896', '#829356', '#3C6478', '#43ABC9', '#B5C689',
'#BCA136', '#C2571A', '#9A2617', '#F26D21', '#C02F1D', '#F58B4C',
'#CD594A'
]
def var_printer(var):
name = str(var)
color = nice_colors[hash(name) % len(nice_colors)]
def colored(x):
return '<font color="{}">{}</font>'.format(color, x)
def printer(x):
return ('<i>{}</i>'.format(colored(name)), colored(x))
return printer
tasks = frozenset(task for batch in schedule.batches for task in batch)
varset = frozenset(var for task in tasks for var in vars(task).keys())
task_to_node = {
task: Digraph.Node(task.__class__.__name__, **vars(task))
for task in tasks
}
edges = [
Digraph.Edge(task_to_node[a], task_to_node[b]) for a in tasks
for b in tasks if len(
frozenset(a.provides().values())
& frozenset(b.requires().values())) > 0
]
digraph = Digraph(task_to_node.values(), edges)
dot = gen_dot(digraph,
[DataPrinter(var, var_printer(var)) for var in varset])
with open("{}.dot".format(export_path), 'w') as export_file:
export_file.write(dot)