BasePassManager
class qiskit.passmanager.BasePassManager(tasks=(), max_iteration=1000)
Bases: ABC
Pass manager base class.
Initialize an empty pass manager object.
Parameters
- tasks (Task | list[Task]) – A pass set to be added to the pass manager schedule.
- max_iteration (int) – The maximum number of iterations the schedule will be looped if the condition is not met.
Methods
append
append(tasks)
Append tasks to the schedule of passes.
Parameters
tasks (Task | list[Task]) – A set of pass manager tasks to be added to schedule.
Raises
TypeError – When any element of tasks is not a subclass of passmanager Task.
remove
remove(index)
Removes a particular pass in the scheduler.
Parameters
index (int) – Pass index to remove, based on the position in passes().
Raises
PassManagerError – If the index is not found.
replace
replace(index, tasks)
Replace a particular pass in the scheduler.
Parameters
- index (int) – Task index to replace, based on the position in
tasks() - tasks (Task | list[Task]) – A set of pass manager tasks to be added to schedule.
Raises
- TypeError – When any element of tasks is not a subclass of passmanager Task.
- PassManagerError – If the index is not found.
run
run(in_programs, callback=None, **kwargs)
Run all the passes on the specified in_programs.
Parameters
-
in_programs (Any | list[Any]) – Input programs to transform via all the registered passes. A single input object cannot be a Python builtin list object. A list object is considered as multiple input objects to optimize.
-
callback (Callable) –
A callback function that will be called after each pass execution. The function will be called with 4 keyword arguments:
task (GenericPass): the pass being run passmanager_ir (Any): depending on pass manager subclass property_set (PropertySet): the property set running_time (float): the time to execute the pass count (int): the index for the pass executionThe exact arguments pass expose the internals of the pass manager and are subject to change as the pass manager internals change. If you intend to reuse a callback function over multiple releases be sure to check that the arguments being passed are the same.
To use the callback feature you define a function that will take in kwargs dict and access the variables. For example:
def callback_func(**kwargs): task = kwargs['task'] passmanager_ir = kwargs['passmanager_ir'] property_set = kwargs['property_set'] running_time = kwargs['running_time'] count = kwargs['count'] ... -
kwargs – Arbitrary arguments passed to the compiler frontend and backend.
Returns
The transformed program(s).
Return type
Any
to_flow_controller
to_flow_controller()
Linearize this manager into a single FlowControllerLinear, so that it can be nested inside another pass manager.
Returns
A linearized pass manager.
Return type