rendering of dont cares now working and example is completed.

b_asic/core_operations.py

@@ -1696,6 +1696,37 @@ class DontCare(AbstractOperation):
     def __str__(self) -> str:
         return "dontcare"
 
+    def get_plot_coordinates(
+        self,
+    ) -> tuple[tuple[tuple[float, float], ...], tuple[tuple[float, float], ...]]:
+        # Doc-string inherited
+        return (
+            (
+                (-0.5, 0),
+                (-0.5, 1),
+                (-0.25, 1),
+                (0, 0.5),
+                (-0.25, 0),
+                (-0.5, 0),
+            ),
+            (
+                (-0.5, 0),
+                (-0.5, 1),
+                (-0.25, 1),
+                (0, 0.5),
+                (-0.25, 0),
+                (-0.5, 0),
+            ),
+        )
+
+    def get_input_coordinates(self) -> tuple[tuple[float, float], ...]:
+        # doc-string inherited
+        return tuple()
+
+    def get_output_coordinates(self) -> tuple[tuple[float, float], ...]:
+        # doc-string inherited
+        return ((0, 0.5),)
+
 
 class Sink(AbstractOperation):
     r"""
@@ -1740,3 +1771,34 @@ class Sink(AbstractOperation):
 
     def __str__(self) -> str:
         return "sink"
+
+    def get_plot_coordinates(
+        self,
+    ) -> tuple[tuple[tuple[float, float], ...], tuple[tuple[float, float], ...]]:
+        # Doc-string inherited
+        return (
+            (
+                (-0.5, 0),
+                (-0.5, 1),
+                (-0.25, 1),
+                (0, 0.5),
+                (-0.25, 0),
+                (-0.5, 0),
+            ),
+            (
+                (-0.5, 0),
+                (-0.5, 1),
+                (-0.25, 1),
+                (0, 0.5),
+                (-0.25, 0),
+                (-0.5, 0),
+            ),
+        )
+
+    def get_input_coordinates(self) -> tuple[tuple[float, float], ...]:
+        # doc-string inherited
+        return tuple()
+
+    def get_output_coordinates(self) -> tuple[tuple[float, float], ...]:
+        # doc-string inherited
+        return ((0, 0.5),)

b_asic/scheduler.py

 from abc import ABC, abstractmethod
 from typing import TYPE_CHECKING, Optional, cast
 
+from b_asic.core_operations import DontCare
 from b_asic.port import OutputPort
 from b_asic.special_operations import Delay, Input, Output
 from b_asic.types import TypeName
@@ -123,11 +124,16 @@ class ListScheduler(Scheduler, ABC):
         self._handle_outputs(schedule)
         schedule.remove_delays()
 
-        # move all inputs and outputs ALAP now that operations have moved
+        # move all inputs ALAP now that operations have moved
         for input_op in schedule.sfg.find_by_type_name(Input.type_name()):
             input_op = cast(Input, input_op)
             schedule.move_operation_alap(input_op.graph_id)
 
+        # move all dont cares ALAP
+        for dc_op in schedule.sfg.find_by_type_name(DontCare.type_name()):
+            dc_op = cast(DontCare, dc_op)
+            schedule.move_operation_alap(dc_op.graph_id)
+
     @staticmethod
     def _candidate_is_schedulable(
         start_times: dict["GraphID"],

examples/ldlt_matrix_inverse.py

@@ -6,7 +6,7 @@ LDLT Matrix Inversion Algorithm
 """
 
 from b_asic.architecture import Architecture, Memory, ProcessingElement
-from b_asic.core_operations import MADS, Constant, Reciprocal
+from b_asic.core_operations import MADS, DontCare, Reciprocal
 from b_asic.core_schedulers import (
     ALAPScheduler,
     ASAPScheduler,
@@ -17,8 +17,9 @@ from b_asic.core_schedulers import (
 )
 from b_asic.schedule import Schedule
 from b_asic.sfg_generators import ldlt_matrix_inverse
+from b_asic.special_operations import Input, Output
 
-sfg = ldlt_matrix_inverse(N=3, is_complex=False)
+sfg = ldlt_matrix_inverse(N=3)
 
 # %%
 # The SFG is
@@ -26,10 +27,10 @@ sfg
 
 # %%
 # Set latencies and execution times.
-sfg.set_latency_of_type(Constant.type_name(), 0)
+sfg.set_latency_of_type(DontCare.type_name(), 0)  # REMOVE!!!
 sfg.set_latency_of_type(MADS.type_name(), 3)
 sfg.set_latency_of_type(Reciprocal.type_name(), 2)
-sfg.set_execution_time_of_type(Constant.type_name(), 0)
+sfg.set_execution_time_of_type(DontCare.type_name(), 0)  # REMOVE!!!
 sfg.set_execution_time_of_type(MADS.type_name(), 1)
 sfg.set_execution_time_of_type(Reciprocal.type_name(), 1)
 
@@ -37,56 +38,56 @@ sfg.set_execution_time_of_type(Reciprocal.type_name(), 1)
 # Create an ASAP schedule.
 schedule = Schedule(sfg, scheduler=ASAPScheduler())
 print("Scheduling time:", schedule.schedule_time)
-# schedule.show()
+schedule.show()
 
 # %%
 # Create an ALAP schedule.
 schedule = Schedule(sfg, scheduler=ALAPScheduler())
 print("Scheduling time:", schedule.schedule_time)
-# schedule.show()
+schedule.show()
 
 # %%
 # Create an EarliestDeadline schedule that satisfies the resource constraints.
 resources = {MADS.type_name(): 1, Reciprocal.type_name(): 1}
 schedule = Schedule(sfg, scheduler=EarliestDeadlineScheduler(resources))
 print("Scheduling time:", schedule.schedule_time)
-# schedule.show()
+schedule.show()
 
 # %%
 # Create a LeastSlackTime schedule that satisfies the resource constraints.
 schedule = Schedule(sfg, scheduler=LeastSlackTimeScheduler(resources))
 print("Scheduling time:", schedule.schedule_time)
-# schedule.show()
+schedule.show()
 
 # %%
 # Create a MaxFanOutScheduler schedule that satisfies the resource constraints.
 schedule = Schedule(sfg, scheduler=MaxFanOutScheduler(resources))
 print("Scheduling time:", schedule.schedule_time)
-# schedule.show()
+schedule.show()
 
 # %%
 # Create a HybridScheduler schedule that satisfies the resource constraints.
 schedule = Schedule(sfg, scheduler=HybridScheduler(resources))
 print("Scheduling time:", schedule.schedule_time)
-# schedule.edit()
+schedule.show()
 
 # %%
 operations = schedule.get_operations()
-mads = operations.get_by_type_name("mads")
+mads = operations.get_by_type_name(MADS.type_name())
 mads.show(title="MADS executions")
-reciprocals = operations.get_by_type_name("rec")
+reciprocals = operations.get_by_type_name(Reciprocal.type_name())
 reciprocals.show(title="Reciprocal executions")
-consts = operations.get_by_type_name("c")
-consts.show(title="Const executions")
-inputs = operations.get_by_type_name("in")
+dont_cares = operations.get_by_type_name(DontCare.type_name())
+dont_cares.show(title="Dont-care executions")
+inputs = operations.get_by_type_name(Input.type_name())
 inputs.show(title="Input executions")
-outputs = operations.get_by_type_name("out")
+outputs = operations.get_by_type_name(Output.type_name())
 outputs.show(title="Output executions")
 
 mads_pe = ProcessingElement(mads, entity_name="mad")
 reciprocal_pe = ProcessingElement(reciprocals, entity_name="rec")
 
-const_pe = ProcessingElement(consts, entity_name="c")
+dont_care_pe = ProcessingElement(dont_cares, entity_name="dc")
 
 pe_in = ProcessingElement(inputs, entity_name='input')
 pe_out = ProcessingElement(outputs, entity_name='output')
@@ -110,7 +111,7 @@ direct.show(title="Direct interconnects")
 
 # %%
 arch = Architecture(
-    {mads_pe, reciprocal_pe, const_pe, pe_in, pe_out},
+    {mads_pe, reciprocal_pe, dont_care_pe, pe_in, pe_out},
     memories,
     direct_interconnects=direct,
 )