def get_time(cls, v: core.Vertex) -> Optional[int]:
if "time" in v.properties:
return v.properties["time"]
else:
if v.has_trait(VertexTrait.WCET):
return 0
if v.has_trait(VertexTrait.WCCT):
return 0
else:
return None
def get_max_memory_size_in_bytes(cls, v: core.Vertex) -> Optional[int]:
if "max_memory_size_in_bytes" in v.properties:
return v.properties["max_memory_size_in_bytes"]
else:
if v.has_trait(VertexTrait.InstrumentedFunction):
return 1
else:
return None
def get_max_elem_count(cls, v: core.Vertex) -> Optional[int]:
if "max_elem_count" in v.properties:
return v.properties["max_elem_count"]
else:
if v.has_trait(VertexTrait.InstrumentedSignal):
return 1
else:
return None
def get_can_be_explored(cls, v: core.Vertex) -> Optional[bool]:
if "can_be_explored" in v.properties:
return v.properties["can_be_explored"]
else:
if v.has_trait(VertexTrait.AbstractProcessingComponent):
return True
else:
return None
def get_max_operations(cls, v: core.Vertex) -> Optional[Mapping[str, int]]:
if "max_operations" in v.properties:
return v.properties["max_operations"]
else:
if v.has_trait(VertexTrait.InstrumentedFunction):
return {}
else:
return None
def get_trigger_time(cls, v: core.Vertex) -> Optional[Mapping[int, str]]:
if "trigger_time" in v.properties:
return v.properties["trigger_time"]
else:
if v.has_trait(VertexTrait.TimeTriggeredScheduler):
return {}
else:
return None
def get_apriori_importance(cls, v: core.Vertex) -> Optional[int]:
if "apriori_importance" in v.properties:
return v.properties["apriori_importance"]
else:
if v.has_trait(VertexTrait.MinimumThroughput):
return 1
else:
return None
def get_offset_denominator_per_sec(cls, v: core.Vertex) -> Optional[int]:
if "offset_denominator_per_sec" in v.properties:
return v.properties["offset_denominator_per_sec"]
else:
if v.has_trait(VertexTrait.ReactorTimer):
return 1
else:
return None
def get_slots(cls, v: core.Vertex) -> Optional[int]:
if "slots" in v.properties:
return v.properties["slots"]
else:
if v.has_trait(VertexTrait.TimeDivisionMultiplexer):
return 1
else:
return None
def get_configurations(cls, v: core.Vertex) -> Optional[Sequence[str]]:
if "configurations" in v.properties:
return v.properties["configurations"]
else:
if v.has_trait(VertexTrait.Instrumented):
raise ValueError(
"Property configurations should exist in vertex '" +
v.identifier + "' with trait Instrumented, but does not.")
else:
return None
def get_production(cls, v: core.Vertex) -> Optional[Mapping[str, int]]:
if "production" in v.properties:
return v.properties["production"]
else:
if v.has_trait(VertexTrait.SDFComb):
raise ValueError(
"Property production should exist in vertex '" +
v.identifier + "' with trait SDFComb, but does not.")
else:
return None
def get_max_memory_internal_bytes(cls, v: core.Vertex) -> Optional[int]:
if "max_memory_internal_bytes" in v.properties:
return v.properties["max_memory_internal_bytes"]
else:
if v.has_trait(VertexTrait.InstrumentedProcessorTile):
raise ValueError(
"Property max_memory_internal_bytes should exist in vertex '"
+ v.identifier +
"' with trait InstrumentedProcessorTile, but does not.")
else:
return None
def get_min_frequency_hz(cls, v: core.Vertex) -> Optional[int]:
if "min_frequency_hz" in v.properties:
return v.properties["min_frequency_hz"]
else:
if v.has_trait(VertexTrait.InstrumentedProcessorTile):
raise ValueError(
"Property min_frequency_hz should exist in vertex '" +
v.identifier +
"' with trait InstrumentedProcessorTile, but does not.")
else:
return None
def get_provides(
cls, v: core.Vertex) -> Optional[Mapping[str, Mapping[str, int]]]:
if "provides" in v.properties:
return v.properties["provides"]
else:
if v.has_trait(VertexTrait.Instrumented):
raise ValueError("Property provides should exist in vertex '" +
v.identifier +
"' with trait Instrumented, but does not.")
else:
return None
def get_period_numerator_per_sec(cls, v: core.Vertex) -> Optional[int]:
if "period_numerator_per_sec" in v.properties:
return v.properties["period_numerator_per_sec"]
else:
if v.has_trait(VertexTrait.ReactorTimer):
raise ValueError(
"Property period_numerator_per_sec should exist in vertex '"
+ v.identifier +
"' with trait ReactorTimer, but does not.")
else:
return None
def get_max_bandwith_bytes_per_sec(cls, v: core.Vertex) -> Optional[int]:
if "max_bandwith_bytes_per_sec" in v.properties:
return v.properties["max_bandwith_bytes_per_sec"]
else:
if v.has_trait(VertexTrait.InstrumentedCommunicationInterconnect):
raise ValueError(
"Property max_bandwith_bytes_per_sec should exist in vertex '"
+ v.identifier +
"' with trait InstrumentedCommunicationInterconnect, but does not."
)
else:
return None
def get_max_clock_cycles_per_op(
cls, v: core.Vertex) -> Optional[Mapping[str, int]]:
if "max_clock_cycles_per_op" in v.properties:
return v.properties["max_clock_cycles_per_op"]
else:
if v.has_trait(VertexTrait.InstrumentedProcessorTile):
raise ValueError(
"Property max_clock_cycles_per_op should exist in vertex '"
+ v.identifier +
"' with trait InstrumentedProcessorTile, but does not.")
else:
return None
def read(
self, source: str, other_model: Optional[ForSyDeModel] = None
) -> ForSyDeModel:
xmlns = "{http://graphml.graphdrawing.org/xmlns}"
model = ForSyDeModel() if not other_model else other_model
with open(source, "r") as instream:
tree = etree.parse(instream)
for vnode in tree.findall(".//" + xmlns + "graph/" + xmlns + "node"):
vertex = Vertex(identifier=vnode.get("id"))
vertex.vertex_traits = set(
VertexTrait[trait_name]
for trait_name in vnode.get("traits", '').split(";")
)
model.add_node(vertex, label=vertex.identifier)
for portnode in vnode.iterfind("./" + xmlns + "port"):
port = Port(identifier=portnode.get("name"))
vertex.ports.add(port)
dataopen = [(vnode, vertex.properties)]
while len(dataopen) > 0:
(parent, data) = dataopen.pop()
for datanode in parent.iterfind(xmlns + "data"):
dataname = datanode.get("attr.name")
datatype = self.str_to_type(datanode.get("attr.type"))
if datatype is str or datatype is int or datatype is float:
if isinstance(data, list):
data.append(datatype(datanode.text))
else:
data[dataname] = datatype(datanode.text)
else:
child = datatype()
if datatype is list:
data.append(child)
else:
data[dataname] = child
dataopen.append((datanode, child))
for vedge in tree.iterfind(
".//" + xmlns + "graph/" + xmlns + "edge", namespaces=self.ns
):
source_vertex = next(
(
n
for (n, nid) in model.nodes.data("label")
if nid == vedge.get("source")
),
None,
)
if source_vertex is None:
raise ValueError(
f"Could not find source node {vedge.get('source')} to during edge building."
)
target_vertex = next(
(
n
for (n, nid) in model.nodes.data("label")
if nid == vedge.get("target")
),
None,
)
if target_vertex is None:
raise ValueError(
f"Could not find target node {vedge.get('target')} to during edge building."
)
edge = Edge(
source=source_vertex,
target=target_vertex,
edge_traits=set(EdgeTrait[n] for n in vedge.get('traits', '').split(';'))
)
if vedge.get("sourceport"):
edge.source_port = source_vertex.get_port(
vedge.get("sourceport")
)
if vedge.get("targetport"):
edge.target_port = target_vertex.get_port(
vedge.get("targetport")
)
key = (
f"{vedge.get('source')}:{vedge.get('sourceport')}->"
+ f"{vedge.get('target')}:{vedge.get('targetport')}"
)
model.add_edge(source_vertex, target_vertex, key=key, object=edge)
return model
