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"""
B-ASIC classes representing resource usage.
"""
from typing import Dict, Tuple
from b_asic.port import InputPort, OutputPort
class Process:
"""
Object for use in resource allocation. Has a start time and an execution
time. Subclasses will in many cases contain additional information for
resource assignment.
Parameters
==========
start_time : int
Start time of process.
execution_time : int
Execution time (lifetime) of process.
"""
def __init__(self, start_time: int, execution_time: int):
self._start_time = start_time
self._execution_time = execution_time
def __lt__(self, other):
return self._start_time < other.start_time or (
self._start_time == other.start_time
and self.execution_time > other.execution_time
)
def start_time(self) -> int:
"""Return the start time."""
def execution_time(self) -> int:
"""Return the execution time."""
return self._execution_time
class OperatorProcess(Process):
"""
Object that corresponds to usage of an operator.
Parameters
==========
start_time : int
Start time of process.
operation : Operation
Operation that the process corresponds to.
"""
def __init__(self, start_time: int, operation: Operation):
execution_time = operation.execution_time
if execution_time is None:
raise ValueError(
"Operation {operation!r} does not have an execution time"
" specified!"
)
super().__init__(start_time, execution_time)
self._operation = operation
class MemoryVariable(Process):
"""
Object that corresponds to a memory variable.
Parameters
==========
write_time : int
Time when the memory variable is written.
write_port : OutputPort
The OutputPort that the memory variable originates from.
reads : {InputPort: int, ...}
Dictionary with the InputPorts that reads the memory variable and
for how long after the *write_time* they will read.
"""
def __init__(
self,
write_time: int,
write_port: OutputPort,
reads: Dict[InputPort, int],
):
self._read_ports = tuple(reads.keys())
self._life_times = tuple(reads.values())
self._write_port = write_port
super().__init__(
start_time=write_time, execution_time=max(self._life_times)
)
def read_ports(self) -> Tuple[InputPort, ...]:
@property
def write_port(self) -> OutputPort:
return self._write_port
class PlainMemoryVariable(Process):
"""
Object that corresponds to a memory variable which only use numbers for
ports. This can be useful when only a plain memory variable is wanted with
no connection to a schedule.
Parameters
==========
write_time : int
The time the memory variable is written.
write_port : int
Identifier for the source of the memory variable.
reads : {int: int, ...}
Dictionary where the key is the destination identifier and the value
is the time after *write_time* that the memory variable is read.
"""
def __init__(
self,
write_time: int,
write_port: int,
reads: Dict[int, int],
):
self._read_ports = tuple(reads.keys())
self._life_times = tuple(reads.values())
self._write_port = write_port
super().__init__(
start_time=write_time, execution_time=max(self._life_times)
)
@property
return self._life_times
@property
return self._read_ports
@property
def write_port(self) -> int:
return self._write_port