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Remove svn-style $Id marks from docstrings and Release imports....
Remove svn-style $Id marks from docstrings and Release imports. The Id marks show up as junk in the API docs (and they were outdated anyway, since we now use bzr). The Release imports were in there for pulling author/license information for epydoc, but now with sphinx they aren't necessary, and they just are extra startup work.

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taskclient.py
180 lines | 5.8 KiB | text/x-python | PythonLexer
Brian E Granger
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r1234 # encoding: utf-8
# -*- test-case-name: IPython.kernel.tests.test_taskcontrollerxmlrpc -*-
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r1395 """
A blocking version of the task client.
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r1234 """
__docformat__ = "restructuredtext en"
#-------------------------------------------------------------------------------
# Copyright (C) 2008 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-------------------------------------------------------------------------------
#-------------------------------------------------------------------------------
# Imports
#-------------------------------------------------------------------------------
from zope.interface import Interface, implements
from twisted.python import components, log
from IPython.kernel.twistedutil import blockingCallFromThread
from IPython.kernel import task, error
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r1395 from IPython.kernel.mapper import (
SynchronousTaskMapper,
ITaskMapperFactory,
IMapper
)
from IPython.kernel.parallelfunction import (
ParallelFunction,
ITaskParallelDecorator
)
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#-------------------------------------------------------------------------------
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r1395 # The task client
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r1234 #-------------------------------------------------------------------------------
class IBlockingTaskClient(Interface):
"""
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r1395 A vague interface of the blocking task client
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r1234 """
pass
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r1395 class BlockingTaskClient(object):
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r1234 """
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r1395 A blocking task client that adapts a non-blocking one.
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r1234 """
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r1395 implements(
IBlockingTaskClient,
ITaskMapperFactory,
IMapper,
ITaskParallelDecorator
)
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def __init__(self, task_controller):
self.task_controller = task_controller
self.block = True
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r1395 def run(self, task, block=False):
"""Run a task on the `TaskController`.
See the documentation of the `MapTask` and `StringTask` classes for
details on how to build a task of different types.
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:Parameters:
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r1395 task : an `ITask` implementer
:Returns: The int taskid of the submitted task. Pass this to
`get_task_result` to get the `TaskResult` object.
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r1234 """
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r1395 tid = blockingCallFromThread(self.task_controller.run, task)
if block:
return self.get_task_result(tid, block=True)
else:
return tid
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def get_task_result(self, taskid, block=False):
"""
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r1395 Get a task result by taskid.
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:Parameters:
taskid : int
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r1395 The taskid of the task to be retrieved.
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r1234 block : boolean
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r1395 Should I block until the task is done?
:Returns: A `TaskResult` object that encapsulates the task result.
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r1234 """
return blockingCallFromThread(self.task_controller.get_task_result,
taskid, block)
def abort(self, taskid):
"""
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r1395 Abort a task by taskid.
:Parameters:
taskid : int
The taskid of the task to be aborted.
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r1234 """
return blockingCallFromThread(self.task_controller.abort, taskid)
def barrier(self, taskids):
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r1395 """Block until a set of tasks are completed.
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:Parameters:
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r1395 taskids : list, tuple
A sequence of taskids to block on.
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r1234 """
return blockingCallFromThread(self.task_controller.barrier, taskids)
def spin(self):
"""
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r1395 Touch the scheduler, to resume scheduling without submitting a task.
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This method only needs to be called in unusual situations where the
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r1395 scheduler is idle for some reason.
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r1234 """
return blockingCallFromThread(self.task_controller.spin)
def queue_status(self, verbose=False):
"""
Get a dictionary with the current state of the task queue.
:Parameters:
verbose : boolean
If True, return a list of taskids. If False, simply give
the number of tasks with each status.
:Returns:
A dict with the queue status.
"""
return blockingCallFromThread(self.task_controller.queue_status, verbose)
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def clear(self):
"""
Clear all previously run tasks from the task controller.
This is needed because the task controller keep all task results
in memory. This can be a problem is there are many completed
tasks. Users should call this periodically to clean out these
cached task results.
"""
return blockingCallFromThread(self.task_controller.clear)
def map(self, func, *sequences):
"""
Apply func to *sequences elementwise. Like Python's builtin map.
This version is load balanced.
"""
return self.mapper().map(func, *sequences)
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r1395 def mapper(self, clear_before=False, clear_after=False, retries=0,
recovery_task=None, depend=None, block=True):
"""
Create an `IMapper` implementer with a given set of arguments.
The `IMapper` created using a task controller is load balanced.
See the documentation for `IPython.kernel.task.BaseTask` for
documentation on the arguments to this method.
"""
return SynchronousTaskMapper(self, clear_before=clear_before,
clear_after=clear_after, retries=retries,
recovery_task=recovery_task, depend=depend, block=block)
def parallel(self, clear_before=False, clear_after=False, retries=0,
recovery_task=None, depend=None, block=True):
mapper = self.mapper(clear_before, clear_after, retries,
recovery_task, depend, block)
pf = ParallelFunction(mapper)
return pf
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components.registerAdapter(BlockingTaskClient,
task.ITaskController, IBlockingTaskClient)