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"""Views of remote engines."""
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# Copyright (c) IPython Development Team.
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# Distributed under the terms of the Modified BSD License.
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from __future__ import print_function
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import imp
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import sys
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import warnings
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from contextlib import contextmanager
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from types import ModuleType
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import zmq
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from IPython.testing.skipdoctest import skip_doctest
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from IPython.utils import pickleutil
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from IPython.utils.traitlets import (
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HasTraits, Any, Bool, List, Dict, Set, Instance, CFloat, Integer
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)
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from IPython.external.decorator import decorator
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from IPython.parallel import util
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from IPython.parallel.controller.dependency import Dependency, dependent
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from IPython.utils.py3compat import string_types, iteritems, PY3
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from . import map as Map
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from .asyncresult import AsyncResult, AsyncMapResult
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from .remotefunction import ParallelFunction, parallel, remote, getname
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#-----------------------------------------------------------------------------
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# Decorators
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#-----------------------------------------------------------------------------
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@decorator
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def save_ids(f, self, *args, **kwargs):
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"""Keep our history and outstanding attributes up to date after a method call."""
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n_previous = len(self.client.history)
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try:
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ret = f(self, *args, **kwargs)
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finally:
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nmsgs = len(self.client.history) - n_previous
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msg_ids = self.client.history[-nmsgs:]
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self.history.extend(msg_ids)
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self.outstanding.update(msg_ids)
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return ret
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@decorator
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def sync_results(f, self, *args, **kwargs):
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"""sync relevant results from self.client to our results attribute."""
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if self._in_sync_results:
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return f(self, *args, **kwargs)
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self._in_sync_results = True
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try:
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ret = f(self, *args, **kwargs)
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finally:
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self._in_sync_results = False
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self._sync_results()
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return ret
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@decorator
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def spin_after(f, self, *args, **kwargs):
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"""call spin after the method."""
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ret = f(self, *args, **kwargs)
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self.spin()
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return ret
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#-----------------------------------------------------------------------------
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# Classes
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#-----------------------------------------------------------------------------
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@skip_doctest
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class View(HasTraits):
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"""Base View class for more convenint apply(f,*args,**kwargs) syntax via attributes.
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Don't use this class, use subclasses.
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Methods
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-------
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spin
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flushes incoming results and registration state changes
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control methods spin, and requesting `ids` also ensures up to date
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wait
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wait on one or more msg_ids
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execution methods
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apply
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legacy: execute, run
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data movement
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push, pull, scatter, gather
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query methods
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get_result, queue_status, purge_results, result_status
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control methods
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abort, shutdown
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"""
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# flags
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block=Bool(False)
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track=Bool(True)
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targets = Any()
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history=List()
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outstanding = Set()
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results = Dict()
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client = Instance('IPython.parallel.Client')
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_socket = Instance('zmq.Socket')
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_flag_names = List(['targets', 'block', 'track'])
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_in_sync_results = Bool(False)
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_targets = Any()
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_idents = Any()
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def __init__(self, client=None, socket=None, **flags):
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super(View, self).__init__(client=client, _socket=socket)
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self.results = client.results
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self.block = client.block
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self.set_flags(**flags)
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assert not self.__class__ is View, "Don't use base View objects, use subclasses"
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def __repr__(self):
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strtargets = str(self.targets)
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if len(strtargets) > 16:
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strtargets = strtargets[:12]+'...]'
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return "<%s %s>"%(self.__class__.__name__, strtargets)
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def __len__(self):
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if isinstance(self.targets, list):
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return len(self.targets)
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elif isinstance(self.targets, int):
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return 1
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else:
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return len(self.client)
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def set_flags(self, **kwargs):
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"""set my attribute flags by keyword.
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Views determine behavior with a few attributes (`block`, `track`, etc.).
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These attributes can be set all at once by name with this method.
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Parameters
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----------
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block : bool
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whether to wait for results
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track : bool
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whether to create a MessageTracker to allow the user to
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safely edit after arrays and buffers during non-copying
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sends.
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"""
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for name, value in iteritems(kwargs):
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if name not in self._flag_names:
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raise KeyError("Invalid name: %r"%name)
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else:
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setattr(self, name, value)
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@contextmanager
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def temp_flags(self, **kwargs):
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"""temporarily set flags, for use in `with` statements.
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See set_flags for permanent setting of flags
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Examples
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--------
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>>> view.track=False
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...
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>>> with view.temp_flags(track=True):
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... ar = view.apply(dostuff, my_big_array)
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... ar.tracker.wait() # wait for send to finish
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>>> view.track
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False
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"""
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# preflight: save flags, and set temporaries
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saved_flags = {}
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for f in self._flag_names:
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saved_flags[f] = getattr(self, f)
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self.set_flags(**kwargs)
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# yield to the with-statement block
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try:
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yield
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finally:
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# postflight: restore saved flags
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self.set_flags(**saved_flags)
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#----------------------------------------------------------------
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# apply
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#----------------------------------------------------------------
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def _sync_results(self):
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"""to be called by @sync_results decorator
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after submitting any tasks.
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"""
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delta = self.outstanding.difference(self.client.outstanding)
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completed = self.outstanding.intersection(delta)
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self.outstanding = self.outstanding.difference(completed)
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@sync_results
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@save_ids
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def _really_apply(self, f, args, kwargs, block=None, **options):
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"""wrapper for client.send_apply_request"""
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raise NotImplementedError("Implement in subclasses")
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def apply(self, f, *args, **kwargs):
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"""calls ``f(*args, **kwargs)`` on remote engines, returning the result.
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This method sets all apply flags via this View's attributes.
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Returns :class:`~IPython.parallel.client.asyncresult.AsyncResult`
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instance if ``self.block`` is False, otherwise the return value of
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``f(*args, **kwargs)``.
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"""
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return self._really_apply(f, args, kwargs)
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def apply_async(self, f, *args, **kwargs):
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"""calls ``f(*args, **kwargs)`` on remote engines in a nonblocking manner.
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Returns :class:`~IPython.parallel.client.asyncresult.AsyncResult` instance.
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"""
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return self._really_apply(f, args, kwargs, block=False)
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@spin_after
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def apply_sync(self, f, *args, **kwargs):
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"""calls ``f(*args, **kwargs)`` on remote engines in a blocking manner,
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returning the result.
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"""
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return self._really_apply(f, args, kwargs, block=True)
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#----------------------------------------------------------------
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# wrappers for client and control methods
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#----------------------------------------------------------------
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@sync_results
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def spin(self):
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"""spin the client, and sync"""
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self.client.spin()
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@sync_results
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def wait(self, jobs=None, timeout=-1):
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"""waits on one or more `jobs`, for up to `timeout` seconds.
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Parameters
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----------
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jobs : int, str, or list of ints and/or strs, or one or more AsyncResult objects
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ints are indices to self.history
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strs are msg_ids
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default: wait on all outstanding messages
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timeout : float
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a time in seconds, after which to give up.
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default is -1, which means no timeout
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Returns
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-------
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True : when all msg_ids are done
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False : timeout reached, some msg_ids still outstanding
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"""
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if jobs is None:
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jobs = self.history
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return self.client.wait(jobs, timeout)
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def abort(self, jobs=None, targets=None, block=None):
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"""Abort jobs on my engines.
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Parameters
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----------
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jobs : None, str, list of strs, optional
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if None: abort all jobs.
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else: abort specific msg_id(s).
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"""
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block = block if block is not None else self.block
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targets = targets if targets is not None else self.targets
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jobs = jobs if jobs is not None else list(self.outstanding)
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return self.client.abort(jobs=jobs, targets=targets, block=block)
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def queue_status(self, targets=None, verbose=False):
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"""Fetch the Queue status of my engines"""
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targets = targets if targets is not None else self.targets
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return self.client.queue_status(targets=targets, verbose=verbose)
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def purge_results(self, jobs=[], targets=[]):
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"""Instruct the controller to forget specific results."""
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if targets is None or targets == 'all':
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targets = self.targets
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return self.client.purge_results(jobs=jobs, targets=targets)
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def shutdown(self, targets=None, restart=False, hub=False, block=None):
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"""Terminates one or more engine processes, optionally including the hub.
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"""
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block = self.block if block is None else block
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if targets is None or targets == 'all':
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targets = self.targets
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return self.client.shutdown(targets=targets, restart=restart, hub=hub, block=block)
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@spin_after
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def get_result(self, indices_or_msg_ids=None, block=None, owner=True):
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"""return one or more results, specified by history index or msg_id.
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See :meth:`IPython.parallel.client.client.Client.get_result` for details.
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"""
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if indices_or_msg_ids is None:
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indices_or_msg_ids = -1
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if isinstance(indices_or_msg_ids, int):
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indices_or_msg_ids = self.history[indices_or_msg_ids]
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elif isinstance(indices_or_msg_ids, (list,tuple,set)):
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indices_or_msg_ids = list(indices_or_msg_ids)
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for i,index in enumerate(indices_or_msg_ids):
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if isinstance(index, int):
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indices_or_msg_ids[i] = self.history[index]
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return self.client.get_result(indices_or_msg_ids, block=block, owner=owner)
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#-------------------------------------------------------------------
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# Map
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#-------------------------------------------------------------------
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@sync_results
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def map(self, f, *sequences, **kwargs):
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"""override in subclasses"""
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raise NotImplementedError
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def map_async(self, f, *sequences, **kwargs):
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"""Parallel version of builtin :func:`python:map`, using this view's engines.
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This is equivalent to ``map(...block=False)``.
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See `self.map` for details.
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"""
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if 'block' in kwargs:
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raise TypeError("map_async doesn't take a `block` keyword argument.")
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kwargs['block'] = False
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return self.map(f,*sequences,**kwargs)
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def map_sync(self, f, *sequences, **kwargs):
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"""Parallel version of builtin :func:`python:map`, using this view's engines.
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This is equivalent to ``map(...block=True)``.
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See `self.map` for details.
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"""
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if 'block' in kwargs:
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raise TypeError("map_sync doesn't take a `block` keyword argument.")
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kwargs['block'] = True
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return self.map(f,*sequences,**kwargs)
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def imap(self, f, *sequences, **kwargs):
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"""Parallel version of :func:`itertools.imap`.
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See `self.map` for details.
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"""
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return iter(self.map_async(f,*sequences, **kwargs))
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#-------------------------------------------------------------------
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# Decorators
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#-------------------------------------------------------------------
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def remote(self, block=None, **flags):
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"""Decorator for making a RemoteFunction"""
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block = self.block if block is None else block
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return remote(self, block=block, **flags)
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def parallel(self, dist='b', block=None, **flags):
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"""Decorator for making a ParallelFunction"""
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block = self.block if block is None else block
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return parallel(self, dist=dist, block=block, **flags)
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@skip_doctest
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class DirectView(View):
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"""Direct Multiplexer View of one or more engines.
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These are created via indexed access to a client:
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>>> dv_1 = client[1]
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>>> dv_all = client[:]
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>>> dv_even = client[::2]
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>>> dv_some = client[1:3]
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This object provides dictionary access to engine namespaces:
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# push a=5:
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>>> dv['a'] = 5
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# pull 'foo':
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>>> dv['foo']
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"""
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def __init__(self, client=None, socket=None, targets=None):
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super(DirectView, self).__init__(client=client, socket=socket, targets=targets)
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@property
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def importer(self):
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"""sync_imports(local=True) as a property.
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See sync_imports for details.
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"""
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return self.sync_imports(True)
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@contextmanager
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def sync_imports(self, local=True, quiet=False):
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"""Context Manager for performing simultaneous local and remote imports.
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'import x as y' will *not* work. The 'as y' part will simply be ignored.
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If `local=True`, then the package will also be imported locally.
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If `quiet=True`, no output will be produced when attempting remote
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imports.
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Note that remote-only (`local=False`) imports have not been implemented.
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>>> with view.sync_imports():
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... from numpy import recarray
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importing recarray from numpy on engine(s)
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"""
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from IPython.utils.py3compat import builtin_mod
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local_import = builtin_mod.__import__
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modules = set()
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results = []
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@util.interactive
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def remote_import(name, fromlist, level):
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"""the function to be passed to apply, that actually performs the import
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on the engine, and loads up the user namespace.
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"""
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import sys
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user_ns = globals()
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mod = __import__(name, fromlist=fromlist, level=level)
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if fromlist:
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for key in fromlist:
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user_ns[key] = getattr(mod, key)
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else:
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user_ns[name] = sys.modules[name]
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def view_import(name, globals={}, locals={}, fromlist=[], level=0):
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"""the drop-in replacement for __import__, that optionally imports
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locally as well.
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"""
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# don't override nested imports
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save_import = builtin_mod.__import__
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builtin_mod.__import__ = local_import
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if imp.lock_held():
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# this is a side-effect import, don't do it remotely, or even
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# ignore the local effects
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return local_import(name, globals, locals, fromlist, level)
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imp.acquire_lock()
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if local:
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mod = local_import(name, globals, locals, fromlist, level)
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else:
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raise NotImplementedError("remote-only imports not yet implemented")
|
|
|
imp.release_lock()
|
|
|
|
|
|
key = name+':'+','.join(fromlist or [])
|
|
|
if level <= 0 and key not in modules:
|
|
|
modules.add(key)
|
|
|
if not quiet:
|
|
|
if fromlist:
|
|
|
print("importing %s from %s on engine(s)"%(','.join(fromlist), name))
|
|
|
else:
|
|
|
print("importing %s on engine(s)"%name)
|
|
|
results.append(self.apply_async(remote_import, name, fromlist, level))
|
|
|
# restore override
|
|
|
builtin_mod.__import__ = save_import
|
|
|
|
|
|
return mod
|
|
|
|
|
|
# override __import__
|
|
|
builtin_mod.__import__ = view_import
|
|
|
try:
|
|
|
# enter the block
|
|
|
yield
|
|
|
except ImportError:
|
|
|
if local:
|
|
|
raise
|
|
|
else:
|
|
|
# ignore import errors if not doing local imports
|
|
|
pass
|
|
|
finally:
|
|
|
# always restore __import__
|
|
|
builtin_mod.__import__ = local_import
|
|
|
|
|
|
for r in results:
|
|
|
# raise possible remote ImportErrors here
|
|
|
r.get()
|
|
|
|
|
|
def use_dill(self):
|
|
|
"""Expand serialization support with dill
|
|
|
|
|
|
adds support for closures, etc.
|
|
|
|
|
|
This calls IPython.utils.pickleutil.use_dill() here and on each engine.
|
|
|
"""
|
|
|
pickleutil.use_dill()
|
|
|
return self.apply(pickleutil.use_dill)
|
|
|
|
|
|
def use_cloudpickle(self):
|
|
|
"""Expand serialization support with cloudpickle.
|
|
|
"""
|
|
|
pickleutil.use_cloudpickle()
|
|
|
return self.apply(pickleutil.use_cloudpickle)
|
|
|
|
|
|
|
|
|
@sync_results
|
|
|
@save_ids
|
|
|
def _really_apply(self, f, args=None, kwargs=None, targets=None, block=None, track=None):
|
|
|
"""calls f(*args, **kwargs) on remote engines, returning the result.
|
|
|
|
|
|
This method sets all of `apply`'s flags via this View's attributes.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
|
|
|
f : callable
|
|
|
|
|
|
args : list [default: empty]
|
|
|
|
|
|
kwargs : dict [default: empty]
|
|
|
|
|
|
targets : target list [default: self.targets]
|
|
|
where to run
|
|
|
block : bool [default: self.block]
|
|
|
whether to block
|
|
|
track : bool [default: self.track]
|
|
|
whether to ask zmq to track the message, for safe non-copying sends
|
|
|
|
|
|
Returns
|
|
|
-------
|
|
|
|
|
|
if self.block is False:
|
|
|
returns AsyncResult
|
|
|
else:
|
|
|
returns actual result of f(*args, **kwargs) on the engine(s)
|
|
|
This will be a list of self.targets is also a list (even length 1), or
|
|
|
the single result if self.targets is an integer engine id
|
|
|
"""
|
|
|
args = [] if args is None else args
|
|
|
kwargs = {} if kwargs is None else kwargs
|
|
|
block = self.block if block is None else block
|
|
|
track = self.track if track is None else track
|
|
|
targets = self.targets if targets is None else targets
|
|
|
|
|
|
_idents, _targets = self.client._build_targets(targets)
|
|
|
msg_ids = []
|
|
|
trackers = []
|
|
|
for ident in _idents:
|
|
|
msg = self.client.send_apply_request(self._socket, f, args, kwargs, track=track,
|
|
|
ident=ident)
|
|
|
if track:
|
|
|
trackers.append(msg['tracker'])
|
|
|
msg_ids.append(msg['header']['msg_id'])
|
|
|
if isinstance(targets, int):
|
|
|
msg_ids = msg_ids[0]
|
|
|
tracker = None if track is False else zmq.MessageTracker(*trackers)
|
|
|
ar = AsyncResult(self.client, msg_ids, fname=getname(f), targets=_targets,
|
|
|
tracker=tracker, owner=True,
|
|
|
)
|
|
|
if block:
|
|
|
try:
|
|
|
return ar.get()
|
|
|
except KeyboardInterrupt:
|
|
|
pass
|
|
|
return ar
|
|
|
|
|
|
|
|
|
@sync_results
|
|
|
def map(self, f, *sequences, **kwargs):
|
|
|
"""``view.map(f, *sequences, block=self.block)`` => list|AsyncMapResult
|
|
|
|
|
|
Parallel version of builtin `map`, using this View's `targets`.
|
|
|
|
|
|
There will be one task per target, so work will be chunked
|
|
|
if the sequences are longer than `targets`.
|
|
|
|
|
|
Results can be iterated as they are ready, but will become available in chunks.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
|
|
|
f : callable
|
|
|
function to be mapped
|
|
|
*sequences: one or more sequences of matching length
|
|
|
the sequences to be distributed and passed to `f`
|
|
|
block : bool
|
|
|
whether to wait for the result or not [default self.block]
|
|
|
|
|
|
Returns
|
|
|
-------
|
|
|
|
|
|
|
|
|
If block=False
|
|
|
An :class:`~IPython.parallel.client.asyncresult.AsyncMapResult` instance.
|
|
|
An object like AsyncResult, but which reassembles the sequence of results
|
|
|
into a single list. AsyncMapResults can be iterated through before all
|
|
|
results are complete.
|
|
|
else
|
|
|
A list, the result of ``map(f,*sequences)``
|
|
|
"""
|
|
|
|
|
|
block = kwargs.pop('block', self.block)
|
|
|
for k in kwargs.keys():
|
|
|
if k not in ['block', 'track']:
|
|
|
raise TypeError("invalid keyword arg, %r"%k)
|
|
|
|
|
|
assert len(sequences) > 0, "must have some sequences to map onto!"
|
|
|
pf = ParallelFunction(self, f, block=block, **kwargs)
|
|
|
return pf.map(*sequences)
|
|
|
|
|
|
@sync_results
|
|
|
@save_ids
|
|
|
def execute(self, code, silent=True, targets=None, block=None):
|
|
|
"""Executes `code` on `targets` in blocking or nonblocking manner.
|
|
|
|
|
|
``execute`` is always `bound` (affects engine namespace)
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
|
|
|
code : str
|
|
|
the code string to be executed
|
|
|
block : bool
|
|
|
whether or not to wait until done to return
|
|
|
default: self.block
|
|
|
"""
|
|
|
block = self.block if block is None else block
|
|
|
targets = self.targets if targets is None else targets
|
|
|
|
|
|
_idents, _targets = self.client._build_targets(targets)
|
|
|
msg_ids = []
|
|
|
trackers = []
|
|
|
for ident in _idents:
|
|
|
msg = self.client.send_execute_request(self._socket, code, silent=silent, ident=ident)
|
|
|
msg_ids.append(msg['header']['msg_id'])
|
|
|
if isinstance(targets, int):
|
|
|
msg_ids = msg_ids[0]
|
|
|
ar = AsyncResult(self.client, msg_ids, fname='execute', targets=_targets, owner=True)
|
|
|
if block:
|
|
|
try:
|
|
|
ar.get()
|
|
|
except KeyboardInterrupt:
|
|
|
pass
|
|
|
return ar
|
|
|
|
|
|
def run(self, filename, targets=None, block=None):
|
|
|
"""Execute contents of `filename` on my engine(s).
|
|
|
|
|
|
This simply reads the contents of the file and calls `execute`.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
|
|
|
filename : str
|
|
|
The path to the file
|
|
|
targets : int/str/list of ints/strs
|
|
|
the engines on which to execute
|
|
|
default : all
|
|
|
block : bool
|
|
|
whether or not to wait until done
|
|
|
default: self.block
|
|
|
|
|
|
"""
|
|
|
with open(filename, 'r') as f:
|
|
|
# add newline in case of trailing indented whitespace
|
|
|
# which will cause SyntaxError
|
|
|
code = f.read()+'\n'
|
|
|
return self.execute(code, block=block, targets=targets)
|
|
|
|
|
|
def update(self, ns):
|
|
|
"""update remote namespace with dict `ns`
|
|
|
|
|
|
See `push` for details.
|
|
|
"""
|
|
|
return self.push(ns, block=self.block, track=self.track)
|
|
|
|
|
|
def push(self, ns, targets=None, block=None, track=None):
|
|
|
"""update remote namespace with dict `ns`
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
|
|
|
ns : dict
|
|
|
dict of keys with which to update engine namespace(s)
|
|
|
block : bool [default : self.block]
|
|
|
whether to wait to be notified of engine receipt
|
|
|
|
|
|
"""
|
|
|
|
|
|
block = block if block is not None else self.block
|
|
|
track = track if track is not None else self.track
|
|
|
targets = targets if targets is not None else self.targets
|
|
|
# applier = self.apply_sync if block else self.apply_async
|
|
|
if not isinstance(ns, dict):
|
|
|
raise TypeError("Must be a dict, not %s"%type(ns))
|
|
|
return self._really_apply(util._push, kwargs=ns, block=block, track=track, targets=targets)
|
|
|
|
|
|
def get(self, key_s):
|
|
|
"""get object(s) by `key_s` from remote namespace
|
|
|
|
|
|
see `pull` for details.
|
|
|
"""
|
|
|
# block = block if block is not None else self.block
|
|
|
return self.pull(key_s, block=True)
|
|
|
|
|
|
def pull(self, names, targets=None, block=None):
|
|
|
"""get object(s) by `name` from remote namespace
|
|
|
|
|
|
will return one object if it is a key.
|
|
|
can also take a list of keys, in which case it will return a list of objects.
|
|
|
"""
|
|
|
block = block if block is not None else self.block
|
|
|
targets = targets if targets is not None else self.targets
|
|
|
applier = self.apply_sync if block else self.apply_async
|
|
|
if isinstance(names, string_types):
|
|
|
pass
|
|
|
elif isinstance(names, (list,tuple,set)):
|
|
|
for key in names:
|
|
|
if not isinstance(key, string_types):
|
|
|
raise TypeError("keys must be str, not type %r"%type(key))
|
|
|
else:
|
|
|
raise TypeError("names must be strs, not %r"%names)
|
|
|
return self._really_apply(util._pull, (names,), block=block, targets=targets)
|
|
|
|
|
|
def scatter(self, key, seq, dist='b', flatten=False, targets=None, block=None, track=None):
|
|
|
"""
|
|
|
Partition a Python sequence and send the partitions to a set of engines.
|
|
|
"""
|
|
|
block = block if block is not None else self.block
|
|
|
track = track if track is not None else self.track
|
|
|
targets = targets if targets is not None else self.targets
|
|
|
|
|
|
# construct integer ID list:
|
|
|
targets = self.client._build_targets(targets)[1]
|
|
|
|
|
|
mapObject = Map.dists[dist]()
|
|
|
nparts = len(targets)
|
|
|
msg_ids = []
|
|
|
trackers = []
|
|
|
for index, engineid in enumerate(targets):
|
|
|
partition = mapObject.getPartition(seq, index, nparts)
|
|
|
if flatten and len(partition) == 1:
|
|
|
ns = {key: partition[0]}
|
|
|
else:
|
|
|
ns = {key: partition}
|
|
|
r = self.push(ns, block=False, track=track, targets=engineid)
|
|
|
msg_ids.extend(r.msg_ids)
|
|
|
if track:
|
|
|
trackers.append(r._tracker)
|
|
|
|
|
|
if track:
|
|
|
tracker = zmq.MessageTracker(*trackers)
|
|
|
else:
|
|
|
tracker = None
|
|
|
|
|
|
r = AsyncResult(self.client, msg_ids, fname='scatter', targets=targets,
|
|
|
tracker=tracker, owner=True,
|
|
|
)
|
|
|
if block:
|
|
|
r.wait()
|
|
|
else:
|
|
|
return r
|
|
|
|
|
|
@sync_results
|
|
|
@save_ids
|
|
|
def gather(self, key, dist='b', targets=None, block=None):
|
|
|
"""
|
|
|
Gather a partitioned sequence on a set of engines as a single local seq.
|
|
|
"""
|
|
|
block = block if block is not None else self.block
|
|
|
targets = targets if targets is not None else self.targets
|
|
|
mapObject = Map.dists[dist]()
|
|
|
msg_ids = []
|
|
|
|
|
|
# construct integer ID list:
|
|
|
targets = self.client._build_targets(targets)[1]
|
|
|
|
|
|
for index, engineid in enumerate(targets):
|
|
|
msg_ids.extend(self.pull(key, block=False, targets=engineid).msg_ids)
|
|
|
|
|
|
r = AsyncMapResult(self.client, msg_ids, mapObject, fname='gather')
|
|
|
|
|
|
if block:
|
|
|
try:
|
|
|
return r.get()
|
|
|
except KeyboardInterrupt:
|
|
|
pass
|
|
|
return r
|
|
|
|
|
|
def __getitem__(self, key):
|
|
|
return self.get(key)
|
|
|
|
|
|
def __setitem__(self,key, value):
|
|
|
self.update({key:value})
|
|
|
|
|
|
def clear(self, targets=None, block=None):
|
|
|
"""Clear the remote namespaces on my engines."""
|
|
|
block = block if block is not None else self.block
|
|
|
targets = targets if targets is not None else self.targets
|
|
|
return self.client.clear(targets=targets, block=block)
|
|
|
|
|
|
#----------------------------------------
|
|
|
# activate for %px, %autopx, etc. magics
|
|
|
#----------------------------------------
|
|
|
|
|
|
def activate(self, suffix=''):
|
|
|
"""Activate IPython magics associated with this View
|
|
|
|
|
|
Defines the magics `%px, %autopx, %pxresult, %%px, %pxconfig`
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
|
|
|
suffix: str [default: '']
|
|
|
The suffix, if any, for the magics. This allows you to have
|
|
|
multiple views associated with parallel magics at the same time.
|
|
|
|
|
|
e.g. ``rc[::2].activate(suffix='_even')`` will give you
|
|
|
the magics ``%px_even``, ``%pxresult_even``, etc. for running magics
|
|
|
on the even engines.
|
|
|
"""
|
|
|
|
|
|
from IPython.parallel.client.magics import ParallelMagics
|
|
|
|
|
|
try:
|
|
|
# This is injected into __builtins__.
|
|
|
ip = get_ipython()
|
|
|
except NameError:
|
|
|
print("The IPython parallel magics (%px, etc.) only work within IPython.")
|
|
|
return
|
|
|
|
|
|
M = ParallelMagics(ip, self, suffix)
|
|
|
ip.magics_manager.register(M)
|
|
|
|
|
|
|
|
|
@skip_doctest
|
|
|
class LoadBalancedView(View):
|
|
|
"""An load-balancing View that only executes via the Task scheduler.
|
|
|
|
|
|
Load-balanced views can be created with the client's `view` method:
|
|
|
|
|
|
>>> v = client.load_balanced_view()
|
|
|
|
|
|
or targets can be specified, to restrict the potential destinations:
|
|
|
|
|
|
>>> v = client.client.load_balanced_view([1,3])
|
|
|
|
|
|
which would restrict loadbalancing to between engines 1 and 3.
|
|
|
|
|
|
"""
|
|
|
|
|
|
follow=Any()
|
|
|
after=Any()
|
|
|
timeout=CFloat()
|
|
|
retries = Integer(0)
|
|
|
|
|
|
_task_scheme = Any()
|
|
|
_flag_names = List(['targets', 'block', 'track', 'follow', 'after', 'timeout', 'retries'])
|
|
|
|
|
|
def __init__(self, client=None, socket=None, **flags):
|
|
|
super(LoadBalancedView, self).__init__(client=client, socket=socket, **flags)
|
|
|
self._task_scheme=client._task_scheme
|
|
|
|
|
|
def _validate_dependency(self, dep):
|
|
|
"""validate a dependency.
|
|
|
|
|
|
For use in `set_flags`.
|
|
|
"""
|
|
|
if dep is None or isinstance(dep, string_types + (AsyncResult, Dependency)):
|
|
|
return True
|
|
|
elif isinstance(dep, (list,set, tuple)):
|
|
|
for d in dep:
|
|
|
if not isinstance(d, string_types + (AsyncResult,)):
|
|
|
return False
|
|
|
elif isinstance(dep, dict):
|
|
|
if set(dep.keys()) != set(Dependency().as_dict().keys()):
|
|
|
return False
|
|
|
if not isinstance(dep['msg_ids'], list):
|
|
|
return False
|
|
|
for d in dep['msg_ids']:
|
|
|
if not isinstance(d, string_types):
|
|
|
return False
|
|
|
else:
|
|
|
return False
|
|
|
|
|
|
return True
|
|
|
|
|
|
def _render_dependency(self, dep):
|
|
|
"""helper for building jsonable dependencies from various input forms."""
|
|
|
if isinstance(dep, Dependency):
|
|
|
return dep.as_dict()
|
|
|
elif isinstance(dep, AsyncResult):
|
|
|
return dep.msg_ids
|
|
|
elif dep is None:
|
|
|
return []
|
|
|
else:
|
|
|
# pass to Dependency constructor
|
|
|
return list(Dependency(dep))
|
|
|
|
|
|
def set_flags(self, **kwargs):
|
|
|
"""set my attribute flags by keyword.
|
|
|
|
|
|
A View is a wrapper for the Client's apply method, but with attributes
|
|
|
that specify keyword arguments, those attributes can be set by keyword
|
|
|
argument with this method.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
|
|
|
block : bool
|
|
|
whether to wait for results
|
|
|
track : bool
|
|
|
whether to create a MessageTracker to allow the user to
|
|
|
safely edit after arrays and buffers during non-copying
|
|
|
sends.
|
|
|
|
|
|
after : Dependency or collection of msg_ids
|
|
|
Only for load-balanced execution (targets=None)
|
|
|
Specify a list of msg_ids as a time-based dependency.
|
|
|
This job will only be run *after* the dependencies
|
|
|
have been met.
|
|
|
|
|
|
follow : Dependency or collection of msg_ids
|
|
|
Only for load-balanced execution (targets=None)
|
|
|
Specify a list of msg_ids as a location-based dependency.
|
|
|
This job will only be run on an engine where this dependency
|
|
|
is met.
|
|
|
|
|
|
timeout : float/int or None
|
|
|
Only for load-balanced execution (targets=None)
|
|
|
Specify an amount of time (in seconds) for the scheduler to
|
|
|
wait for dependencies to be met before failing with a
|
|
|
DependencyTimeout.
|
|
|
|
|
|
retries : int
|
|
|
Number of times a task will be retried on failure.
|
|
|
"""
|
|
|
|
|
|
super(LoadBalancedView, self).set_flags(**kwargs)
|
|
|
for name in ('follow', 'after'):
|
|
|
if name in kwargs:
|
|
|
value = kwargs[name]
|
|
|
if self._validate_dependency(value):
|
|
|
setattr(self, name, value)
|
|
|
else:
|
|
|
raise ValueError("Invalid dependency: %r"%value)
|
|
|
if 'timeout' in kwargs:
|
|
|
t = kwargs['timeout']
|
|
|
if not isinstance(t, (int, float, type(None))):
|
|
|
if (not PY3) and (not isinstance(t, long)):
|
|
|
raise TypeError("Invalid type for timeout: %r"%type(t))
|
|
|
if t is not None:
|
|
|
if t < 0:
|
|
|
raise ValueError("Invalid timeout: %s"%t)
|
|
|
self.timeout = t
|
|
|
|
|
|
@sync_results
|
|
|
@save_ids
|
|
|
def _really_apply(self, f, args=None, kwargs=None, block=None, track=None,
|
|
|
after=None, follow=None, timeout=None,
|
|
|
targets=None, retries=None):
|
|
|
"""calls f(*args, **kwargs) on a remote engine, returning the result.
|
|
|
|
|
|
This method temporarily sets all of `apply`'s flags for a single call.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
|
|
|
f : callable
|
|
|
|
|
|
args : list [default: empty]
|
|
|
|
|
|
kwargs : dict [default: empty]
|
|
|
|
|
|
block : bool [default: self.block]
|
|
|
whether to block
|
|
|
track : bool [default: self.track]
|
|
|
whether to ask zmq to track the message, for safe non-copying sends
|
|
|
|
|
|
!!!!!! TODO: THE REST HERE !!!!
|
|
|
|
|
|
Returns
|
|
|
-------
|
|
|
|
|
|
if self.block is False:
|
|
|
returns AsyncResult
|
|
|
else:
|
|
|
returns actual result of f(*args, **kwargs) on the engine(s)
|
|
|
This will be a list of self.targets is also a list (even length 1), or
|
|
|
the single result if self.targets is an integer engine id
|
|
|
"""
|
|
|
|
|
|
# validate whether we can run
|
|
|
if self._socket.closed:
|
|
|
msg = "Task farming is disabled"
|
|
|
if self._task_scheme == 'pure':
|
|
|
msg += " because the pure ZMQ scheduler cannot handle"
|
|
|
msg += " disappearing engines."
|
|
|
raise RuntimeError(msg)
|
|
|
|
|
|
if self._task_scheme == 'pure':
|
|
|
# pure zmq scheme doesn't support extra features
|
|
|
msg = "Pure ZMQ scheduler doesn't support the following flags:"
|
|
|
"follow, after, retries, targets, timeout"
|
|
|
if (follow or after or retries or targets or timeout):
|
|
|
# hard fail on Scheduler flags
|
|
|
raise RuntimeError(msg)
|
|
|
if isinstance(f, dependent):
|
|
|
# soft warn on functional dependencies
|
|
|
warnings.warn(msg, RuntimeWarning)
|
|
|
|
|
|
# build args
|
|
|
args = [] if args is None else args
|
|
|
kwargs = {} if kwargs is None else kwargs
|
|
|
block = self.block if block is None else block
|
|
|
track = self.track if track is None else track
|
|
|
after = self.after if after is None else after
|
|
|
retries = self.retries if retries is None else retries
|
|
|
follow = self.follow if follow is None else follow
|
|
|
timeout = self.timeout if timeout is None else timeout
|
|
|
targets = self.targets if targets is None else targets
|
|
|
|
|
|
if not isinstance(retries, int):
|
|
|
raise TypeError('retries must be int, not %r'%type(retries))
|
|
|
|
|
|
if targets is None:
|
|
|
idents = []
|
|
|
else:
|
|
|
idents = self.client._build_targets(targets)[0]
|
|
|
# ensure *not* bytes
|
|
|
idents = [ ident.decode() for ident in idents ]
|
|
|
|
|
|
after = self._render_dependency(after)
|
|
|
follow = self._render_dependency(follow)
|
|
|
metadata = dict(after=after, follow=follow, timeout=timeout, targets=idents, retries=retries)
|
|
|
|
|
|
msg = self.client.send_apply_request(self._socket, f, args, kwargs, track=track,
|
|
|
metadata=metadata)
|
|
|
tracker = None if track is False else msg['tracker']
|
|
|
|
|
|
ar = AsyncResult(self.client, msg['header']['msg_id'], fname=getname(f),
|
|
|
targets=None, tracker=tracker, owner=True,
|
|
|
)
|
|
|
if block:
|
|
|
try:
|
|
|
return ar.get()
|
|
|
except KeyboardInterrupt:
|
|
|
pass
|
|
|
return ar
|
|
|
|
|
|
@sync_results
|
|
|
@save_ids
|
|
|
def map(self, f, *sequences, **kwargs):
|
|
|
"""``view.map(f, *sequences, block=self.block, chunksize=1, ordered=True)`` => list|AsyncMapResult
|
|
|
|
|
|
Parallel version of builtin `map`, load-balanced by this View.
|
|
|
|
|
|
`block`, and `chunksize` can be specified by keyword only.
|
|
|
|
|
|
Each `chunksize` elements will be a separate task, and will be
|
|
|
load-balanced. This lets individual elements be available for iteration
|
|
|
as soon as they arrive.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
|
|
|
f : callable
|
|
|
function to be mapped
|
|
|
*sequences: one or more sequences of matching length
|
|
|
the sequences to be distributed and passed to `f`
|
|
|
block : bool [default self.block]
|
|
|
whether to wait for the result or not
|
|
|
track : bool
|
|
|
whether to create a MessageTracker to allow the user to
|
|
|
safely edit after arrays and buffers during non-copying
|
|
|
sends.
|
|
|
chunksize : int [default 1]
|
|
|
how many elements should be in each task.
|
|
|
ordered : bool [default True]
|
|
|
Whether the results should be gathered as they arrive, or enforce
|
|
|
the order of submission.
|
|
|
|
|
|
Only applies when iterating through AsyncMapResult as results arrive.
|
|
|
Has no effect when block=True.
|
|
|
|
|
|
Returns
|
|
|
-------
|
|
|
|
|
|
if block=False
|
|
|
An :class:`~IPython.parallel.client.asyncresult.AsyncMapResult` instance.
|
|
|
An object like AsyncResult, but which reassembles the sequence of results
|
|
|
into a single list. AsyncMapResults can be iterated through before all
|
|
|
results are complete.
|
|
|
else
|
|
|
A list, the result of ``map(f,*sequences)``
|
|
|
"""
|
|
|
|
|
|
# default
|
|
|
block = kwargs.get('block', self.block)
|
|
|
chunksize = kwargs.get('chunksize', 1)
|
|
|
ordered = kwargs.get('ordered', True)
|
|
|
|
|
|
keyset = set(kwargs.keys())
|
|
|
extra_keys = keyset.difference_update(set(['block', 'chunksize']))
|
|
|
if extra_keys:
|
|
|
raise TypeError("Invalid kwargs: %s"%list(extra_keys))
|
|
|
|
|
|
assert len(sequences) > 0, "must have some sequences to map onto!"
|
|
|
|
|
|
pf = ParallelFunction(self, f, block=block, chunksize=chunksize, ordered=ordered)
|
|
|
return pf.map(*sequences)
|
|
|
|
|
|
__all__ = ['LoadBalancedView', 'DirectView']
|
|
|
|
