parsl.executors.base.ParslExecutor¶
-
class
parsl.executors.base.
ParslExecutor
[source]¶ Define the strict interface for all Executor classes.
This is a metaclass that only enforces concrete implementations of functionality by the child classes.
In addition to the listed methods, a ParslExecutor instance must always have a member field:
- label: str - a human readable label for the executor, unique
with respect to other executors.
An executor may optionally expose:
- storage_access: List[parsl.data_provider.staging.Staging] - a list of staging
providers that will be used for file staging. In the absence of this attribute, or if this attribute is
None
, then a default value ofparsl.data_provider.staging.default_staging
will be used by the staging code.Typechecker note: Ideally storage_access would be declared on executor __init__ methods as List[Staging] - however, lists are by default invariant, not co-variant, and it looks like @typeguard cannot be persuaded otherwise. So if you’re implementing an executor and want to @typeguard the constructor, you’ll have to use List[Any] here.
Methods
__init__
()Initialize self.
scale_in
(blocks)Scale in method.
scale_out
(blocks)Scale out method.
set_bad_state_and_fail_all
(exception)Allows external error handlers to mark this executor as irrecoverably bad and cause all tasks submitted to it now and in the future to fail.
shutdown
()Shutdown the executor.
start
()Start the executor.
status
()Return the status of all jobs/blocks currently known to this executor.
submit
(func, resource_specification, *args, …)Submit.
Attributes
bad_state_is_set
Returns true if this executor is in an irrecoverable error state.
executor_exception
Returns an exception that indicates why this executor is in an irrecoverable state.
hub_address
Address to the Hub for monitoring.
hub_port
Port to the Hub for monitoring.
run_dir
Path to the run directory.
Specify if scaling is enabled.
status_polling_interval
Returns the interval, in seconds, at which the status method should be called.
tasks
Contains a dictionary mapping task IDs to the corresponding Future objects for all tasks that have been submitted to this executor.