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Merged Jacob Wahlman requested to merge pylint-tabs-to-spaces into develop
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b_asic/abstract_operation.py
+ 97
− 97
@@ -15,100 +15,100 @@ from b_asic.utilities import breadth_first_search
from b_asic.abstract_graph_component import AbstractGraphComponent
class AbstractOperation(Operation, AbstractGraphComponent):
"""Generic abstract operation class which most implementations will derive from.
TODO: More info.
"""
_input_ports: List[InputPort]
_output_ports: List[OutputPort]
_parameters: Dict[str, Optional[Any]]
def __init__(self, **kwds):
super().__init__(**kwds)
self._input_ports = []
self._output_ports = []
self._parameters = {}
@abstractmethod
def evaluate(self, inputs: list) -> list:
"""Evaluate the operation and generate a list of output values given a list of input values."""
raise NotImplementedError
def inputs(self) -> List[InputPort]:
return self._input_ports.copy()
def outputs(self) -> List[OutputPort]:
return self._output_ports.copy()
def input_count(self) -> int:
return len(self._input_ports)
def output_count(self) -> int:
return len(self._output_ports)
def input(self, i: int) -> InputPort:
return self._input_ports[i]
def output(self, i: int) -> OutputPort:
return self._output_ports[i]
def params(self) -> Dict[str, Optional[Any]]:
return self._parameters.copy()
def param(self, name: str) -> Optional[Any]:
return self._parameters.get(name)
def set_param(self, name: str, value: Any) -> None:
assert name in self._parameters # TODO: Error message.
self._parameters[name] = value
def evaluate_outputs(self, state: SimulationState) -> List[Number]:
# TODO: Check implementation.
input_count: int = self.input_count()
output_count: int = self.output_count()
assert input_count == len(self._input_ports) # TODO: Error message.
assert output_count == len(self._output_ports) # TODO: Error message.
self_state: OperationState = state.operation_states[self]
while self_state.iteration < state.iteration:
input_values: List[Number] = [0] * input_count
for i in range(input_count):
source: Signal = self._input_ports[i].signal
input_values[i] = source.operation.evaluate_outputs(state)[source.port_index]
self_state.output_values = self.evaluate(input_values)
assert len(self_state.output_values) == output_count # TODO: Error message.
self_state.iteration += 1
for i in range(output_count):
for signal in self._output_ports[i].signals():
destination: Signal = signal.destination
destination.evaluate_outputs(state)
return self_state.output_values
def split(self) -> List[Operation]:
# TODO: Check implementation.
results = self.evaluate(self._input_ports)
if all(isinstance(e, Operation) for e in results):
return results
return [self]
@property
def neighbours(self) -> List[Operation]:
neighbours: List[Operation] = []
for port in self._input_ports:
for signal in port.signals:
neighbours.append(signal.source.operation)
for port in self._output_ports:
for signal in port.signals:
neighbours.append(signal.destination.operation)
return neighbours
def traverse(self) -> Operation:
"""Traverse the operation tree and return a generator with start point in the operation."""
return breadth_first_search(self)
# TODO: More stuff.
"""Generic abstract operation class which most implementations will derive from.
TODO: More info.
"""
_input_ports: List[InputPort]
_output_ports: List[OutputPort]
_parameters: Dict[str, Optional[Any]]
def __init__(self, **kwds):
super().__init__(**kwds)
self._input_ports = []
self._output_ports = []
self._parameters = {}
@abstractmethod
def evaluate(self, inputs: list) -> list:
"""Evaluate the operation and generate a list of output values given a list of input values."""
raise NotImplementedError
def inputs(self) -> List[InputPort]:
return self._input_ports.copy()
def outputs(self) -> List[OutputPort]:
return self._output_ports.copy()
def input_count(self) -> int:
return len(self._input_ports)
def output_count(self) -> int:
return len(self._output_ports)
def input(self, i: int) -> InputPort:
return self._input_ports[i]
def output(self, i: int) -> OutputPort:
return self._output_ports[i]
def params(self) -> Dict[str, Optional[Any]]:
return self._parameters.copy()
def param(self, name: str) -> Optional[Any]:
return self._parameters.get(name)
def set_param(self, name: str, value: Any) -> None:
assert name in self._parameters # TODO: Error message.
self._parameters[name] = value
def evaluate_outputs(self, state: SimulationState) -> List[Number]:
# TODO: Check implementation.
input_count: int = self.input_count()
output_count: int = self.output_count()
assert input_count == len(self._input_ports) # TODO: Error message.
assert output_count == len(self._output_ports) # TODO: Error message.
self_state: OperationState = state.operation_states[self]
while self_state.iteration < state.iteration:
input_values: List[Number] = [0] * input_count
for i in range(input_count):
source: Signal = self._input_ports[i].signal
input_values[i] = source.operation.evaluate_outputs(state)[source.port_index]
self_state.output_values = self.evaluate(input_values)
assert len(self_state.output_values) == output_count # TODO: Error message.
self_state.iteration += 1
for i in range(output_count):
for signal in self._output_ports[i].signals():
destination: Signal = signal.destination
destination.evaluate_outputs(state)
return self_state.output_values
def split(self) -> List[Operation]:
# TODO: Check implementation.
results = self.evaluate(self._input_ports)
if all(isinstance(e, Operation) for e in results):
return results
return [self]
@property
def neighbours(self) -> List[Operation]:
neighbours: List[Operation] = []
for port in self._input_ports:
for signal in port.signals:
neighbours.append(signal.source.operation)
for port in self._output_ports:
for signal in port.signals:
neighbours.append(signal.destination.operation)
return neighbours
def traverse(self) -> Operation:
"""Traverse the operation tree and return a generator with start point in the operation."""
return breadth_first_search(self)
# TODO: More stuff.