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| Name | Type | Size | Last Modified | Actions |
|---|---|---|---|---|
| __init__.cpython-35.opt-1.pyc | File | 687 bytes | May 31 2024 13:51:51. | |
| __init__.cpython-35.opt-2.pyc | File | 586 bytes | May 31 2024 13:51:29. | |
| __init__.cpython-35.pyc | File | 687 bytes | May 31 2024 13:51:56. | |
| _base.cpython-35.opt-1.pyc | File | 20915 bytes | May 31 2024 13:51:51. | |
| _base.cpython-35.opt-2.pyc | File | 13601 bytes | May 31 2024 13:51:29. | |
| _base.cpython-35.pyc | File | 20915 bytes | May 31 2024 13:51:56. | |
| process.cpython-35.opt-1.pyc | File | 16301 bytes | May 31 2024 13:51:51. | |
| process.cpython-35.opt-2.pyc | File | 10342 bytes | May 31 2024 13:51:29. | |
| process.cpython-35.pyc | File | 16348 bytes | May 31 2024 13:51:56. | |
| thread.cpython-35.opt-1.pyc | File | 3913 bytes | May 31 2024 13:51:51. | |
| thread.cpython-35.opt-2.pyc | File | 3661 bytes | May 31 2024 13:51:29. | |
| thread.cpython-35.pyc | File | 3913 bytes | May 31 2024 13:51:56. |
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The follow diagram and text describe the data-flow through the system:
|======================= In-process =====================|== Out-of-process ==|
+----------+ +----------+ +--------+ +-----------+ +---------+
| | => | Work Ids | => | | => | Call Q | => | |
| | +----------+ | | +-----------+ | |
| | | ... | | | | ... | | |
| | | 6 | | | | 5, call() | | |
| | | 7 | | | | ... | | |
| Process | | ... | | Local | +-----------+ | Process |
| Pool | +----------+ | Worker | | #1..n |
| Executor | | Thread | | |
| | +----------- + | | +-----------+ | |
| | <=> | Work Items | <=> | | <= | Result Q | <= | |
| | +------------+ | | +-----------+ | |
| | | 6: call() | | | | ... | | |
| | | future | | | | 4, result | | |
| | | ... | | | | 3, except | | |
+----------+ +------------+ +--------+ +-----------+ +---------+
Executor.submit() called:
- creates a uniquely numbered _WorkItem and adds it to the "Work Items" dict
- adds the id of the _WorkItem to the "Work Ids" queue
Local worker thread:
- reads work ids from the "Work Ids" queue and looks up the corresponding
WorkItem from the "Work Items" dict: if the work item has been cancelled then
it is simply removed from the dict, otherwise it is repackaged as a
_CallItem and put in the "Call Q". New _CallItems are put in the "Call Q"
until "Call Q" is full. NOTE: the size of the "Call Q" is kept small because
calls placed in the "Call Q" can no longer be cancelled with Future.cancel().
- reads _ResultItems from "Result Q", updates the future stored in the
"Work Items" dict and deletes the dict entry
Process #1..n:
- reads _CallItems from "Call Q", executes the calls, and puts the resulting
_ResultItems in "Result Q"
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shutdown: A multiprocessing.Event that will be set as a signal to the
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work_ids: A queue.Queue of work ids e.g. Queue([5, 6, ...]). Work ids
are consumed and the corresponding _WorkItems from
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call_queue.
call_queue: A multiprocessing.Queue that will be filled with _CallItems
derived from _WorkItems.
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process: A list of the multiprocessing.Process instances used as
workers.
pending_work_items: A dict mapping work ids to _WorkItems e.g.
{5: <_WorkItem...>, 6: <_WorkItem...>, ...}
work_ids_queue: A queue.Queue of work ids e.g. Queue([5, 6, ...]).
call_queue: A multiprocessing.Queue that will be filled with _CallItems
derived from _WorkItems for processing by the process workers.
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zProcessPoolExecutor.submit�timeoutr2 r c sX | d k r t d � � t � j t t | � t | d | � d | �} t j j | � S)aj Returns an iterator equivalent to map(fn, iter).
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timeout: The maximum number of seconds to wait. If None, then there
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chunksize: If greater than one, the iterables will be chopped into
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