add shutdown to Views

IPython/parallel/view.py

@@ -1,1028 +1,1036 b''
 """Views of remote engines."""
 #-----------------------------------------------------------------------------
 #  Copyright (C) 2010  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
 #-----------------------------------------------------------------------------
 
 import imp
 import sys
 import warnings
 from contextlib import contextmanager
 from types import ModuleType
 
 import zmq
 
 from IPython.testing import decorators as testdec
 from IPython.utils.traitlets import HasTraits, Any, Bool, List, Dict, Set, Int, Instance, CFloat
 
 from IPython.external.decorator import decorator
 
 from . import map as Map
 from . import util
 from .asyncresult import AsyncResult, AsyncMapResult
 from .dependency import Dependency, dependent
 from .remotefunction import ParallelFunction, parallel, remote
 
 #-----------------------------------------------------------------------------
 # Decorators
 #-----------------------------------------------------------------------------
 
 @decorator
 def save_ids(f, self, *args, **kwargs):
     """Keep our history and outstanding attributes up to date after a method call."""
     n_previous = len(self.client.history)
     try:
         ret = f(self, *args, **kwargs)
     finally:
         nmsgs = len(self.client.history) - n_previous
         msg_ids = self.client.history[-nmsgs:]
         self.history.extend(msg_ids)
         map(self.outstanding.add, msg_ids)
     return ret
 
 @decorator
 def sync_results(f, self, *args, **kwargs):
     """sync relevant results from self.client to our results attribute."""
     ret = f(self, *args, **kwargs)
     delta = self.outstanding.difference(self.client.outstanding)
     completed = self.outstanding.intersection(delta)
     self.outstanding = self.outstanding.difference(completed)
     for msg_id in completed:
         self.results[msg_id] = self.client.results[msg_id]
     return ret
 
 @decorator
 def spin_after(f, self, *args, **kwargs):
     """call spin after the method."""
     ret = f(self, *args, **kwargs)
     self.spin()
     return ret
 
 #-----------------------------------------------------------------------------
 # Classes
 #-----------------------------------------------------------------------------
 
 class View(HasTraits):
     """Base View class for more convenint apply(f,*args,**kwargs) syntax via attributes.
     
     Don't use this class, use subclasses.
     
     Methods
     -------
     
     spin
         flushes incoming results and registration state changes
         control methods spin, and requesting `ids` also ensures up to date
     
     wait
         wait on one or more msg_ids
     
     execution methods
         apply
         legacy: execute, run
     
     data movement
         push, pull, scatter, gather
     
     query methods
         get_result, queue_status, purge_results, result_status
     
     control methods
         abort, shutdown
     
     """
     # flags
     block=Bool(False)
     track=Bool(True)
     targets = Any()
     
     history=List()
     outstanding = Set()
     results = Dict()
     client = Instance('IPython.parallel.client.Client')
     
     _socket = Instance('zmq.Socket')
     _flag_names = List(['targets', 'block', 'track'])
     _targets = Any()
     _idents = Any()
     
     def __init__(self, client=None, socket=None, **flags):
         super(View, self).__init__(client=client, _socket=socket)
         self.block = client.block
         
         self.set_flags(**flags)
         
         assert not self.__class__ is View, "Don't use base View objects, use subclasses"
         
 
     def __repr__(self):
         strtargets = str(self.targets)
         if len(strtargets) > 16:
             strtargets = strtargets[:12]+'...]'
         return "<%s %s>"%(self.__class__.__name__, strtargets)
 
     def set_flags(self, **kwargs):
         """set my attribute flags by keyword.
         
         Views determine behavior with a few attributes (`block`, `track`, etc.).
         These attributes can be set all at once by name 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.
         """
         for name, value in kwargs.iteritems():
             if name not in self._flag_names:
                 raise KeyError("Invalid name: %r"%name)
             else:
                 setattr(self, name, value)
     
     @contextmanager
     def temp_flags(self, **kwargs):
         """temporarily set flags, for use in `with` statements.
         
         See set_flags for permanent setting of flags
         
         Examples
         --------
         
         >>> view.track=False
         ...
         >>> with view.temp_flags(track=True):
         ...    ar = view.apply(dostuff, my_big_array)
         ...    ar.tracker.wait() # wait for send to finish
         >>> view.track
         False
         
         """
         # preflight: save flags, and set temporaries
         saved_flags = {}
         for f in self._flag_names:
             saved_flags[f] = getattr(self, f)
         self.set_flags(**kwargs)
         # yield to the with-statement block
         try:
             yield
         finally:
             # postflight: restore saved flags
             self.set_flags(**saved_flags)
         
         
     #----------------------------------------------------------------
     # apply
     #----------------------------------------------------------------
     
     @sync_results
     @save_ids
     def _really_apply(self, f, args, kwargs, block=None, **options):
         """wrapper for client.send_apply_message"""
         raise NotImplementedError("Implement in subclasses")
     
     def apply(self, f, *args, **kwargs):
         """calls f(*args, **kwargs) on remote engines, returning the result.
         
         This method sets all apply flags via this View's attributes.
         
         if self.block is False:
             returns AsyncResult
         else:
             returns actual result of f(*args, **kwargs)
         """
         return self._really_apply(f, args, kwargs)
 
     def apply_async(self, f, *args, **kwargs):
         """calls f(*args, **kwargs) on remote engines in a nonblocking manner.
         
         returns AsyncResult
         """
         return self._really_apply(f, args, kwargs, block=False)
 
     @spin_after
     def apply_sync(self, f, *args, **kwargs):
         """calls f(*args, **kwargs) on remote engines in a blocking manner,
          returning the result.
         
         returns: actual result of f(*args, **kwargs)
         """
         return self._really_apply(f, args, kwargs, block=True)
 
     #----------------------------------------------------------------
     # wrappers for client and control methods
     #----------------------------------------------------------------
     @sync_results
     def spin(self):
         """spin the client, and sync"""
         self.client.spin()
     
     @sync_results
     def wait(self, jobs=None, timeout=-1):
         """waits on one or more `jobs`, for up to `timeout` seconds.
         
         Parameters
         ----------
         
         jobs : int, str, or list of ints and/or strs, or one or more AsyncResult objects
                 ints are indices to self.history
                 strs are msg_ids
                 default: wait on all outstanding messages
         timeout : float
                 a time in seconds, after which to give up.
                 default is -1, which means no timeout
         
         Returns
         -------
         
         True : when all msg_ids are done
         False : timeout reached, some msg_ids still outstanding
         """
         if jobs is None:
             jobs = self.history
         return self.client.wait(jobs, timeout)
     
     def abort(self, jobs=None, targets=None, block=None):
         """Abort jobs on my engines.
         
         Parameters
         ----------
         
         jobs : None, str, list of strs, optional
             if None: abort all jobs.
             else: abort specific msg_id(s).
         """
         block = block if block is not None else self.block
         targets = targets if targets is not None else self.targets
         return self.client.abort(jobs=jobs, targets=targets, block=block)
 
     def queue_status(self, targets=None, verbose=False):
         """Fetch the Queue status of my engines"""
         targets = targets if targets is not None else self.targets
         return self.client.queue_status(targets=targets, verbose=verbose)
     
     def purge_results(self, jobs=[], targets=[]):
         """Instruct the controller to forget specific results."""
         if targets is None or targets == 'all':
             targets = self.targets
         return self.client.purge_results(jobs=jobs, targets=targets)
     
+    def shutdown(self, targets=None, restart=False, hub=False, block=None):
+        """Terminates one or more engine processes, optionally including the hub.
+        """
+        block = self.block if block is None else block
+        if targets is None or targets == 'all':
+            targets = self.targets
+        return self.client.shutdown(targets=targets, restart=restart, hub=hub, block=block)
+    
     @spin_after
     def get_result(self, indices_or_msg_ids=None):
         """return one or more results, specified by history index or msg_id.
         
         See client.get_result for details.
         
         """
         
         if indices_or_msg_ids is None:
             indices_or_msg_ids = -1
         if isinstance(indices_or_msg_ids, int):
             indices_or_msg_ids = self.history[indices_or_msg_ids]
         elif isinstance(indices_or_msg_ids, (list,tuple,set)):
             indices_or_msg_ids = list(indices_or_msg_ids)
             for i,index in enumerate(indices_or_msg_ids):
                 if isinstance(index, int):
                     indices_or_msg_ids[i] = self.history[index]
         return self.client.get_result(indices_or_msg_ids)
     
     #-------------------------------------------------------------------
     # Map
     #-------------------------------------------------------------------
     
     def map(self, f, *sequences, **kwargs):
         """override in subclasses"""
         raise NotImplementedError
     
     def map_async(self, f, *sequences, **kwargs):
         """Parallel version of builtin `map`, using this view's engines.
         
         This is equivalent to map(...block=False)
         
         See `self.map` for details.
         """
         if 'block' in kwargs:
             raise TypeError("map_async doesn't take a `block` keyword argument.")
         kwargs['block'] = False
         return self.map(f,*sequences,**kwargs)
     
     def map_sync(self, f, *sequences, **kwargs):
         """Parallel version of builtin `map`, using this view's engines.
         
         This is equivalent to map(...block=True)
         
         See `self.map` for details.
         """
         if 'block' in kwargs:
             raise TypeError("map_sync doesn't take a `block` keyword argument.")
         kwargs['block'] = True
         return self.map(f,*sequences,**kwargs)
     
     def imap(self, f, *sequences, **kwargs):
         """Parallel version of `itertools.imap`.
         
         See `self.map` for details.
         
         """
         
         return iter(self.map_async(f,*sequences, **kwargs))
     
     #-------------------------------------------------------------------
     # Decorators
     #-------------------------------------------------------------------
     
     def remote(self, block=True, **flags):
         """Decorator for making a RemoteFunction"""
         block = self.block if block is None else block
         return remote(self, block=block, **flags)
     
     def parallel(self, dist='b', block=None, **flags):
         """Decorator for making a ParallelFunction"""
         block = self.block if block is None else block
         return parallel(self, dist=dist, block=block, **flags)
 
 @testdec.skip_doctest
 class DirectView(View):
     """Direct Multiplexer View of one or more engines.
     
     These are created via indexed access to a client:
     
     >>> dv_1 = client[1]
     >>> dv_all = client[:]
     >>> dv_even = client[::2]
     >>> dv_some = client[1:3]
     
     This object provides dictionary access to engine namespaces:
     
     # push a=5:
     >>> dv['a'] = 5 
     # pull 'foo':
     >>> db['foo']
     
     """
     
     def __init__(self, client=None, socket=None, targets=None):
         super(DirectView, self).__init__(client=client, socket=socket, targets=targets)
     
     @property
     def importer(self):
         """sync_imports(local=True) as a property.
         
         See sync_imports for details.
 
         In [10]: with v.importer:
            ....:     import numpy
            ....:     
         importing numpy on engine(s)
         
         """
         return self.sync_imports(True)
     
     @contextmanager
     def sync_imports(self, local=True):
         """Context Manager for performing simultaneous local and remote imports.
         
         'import x as y' will *not* work.  The 'as y' part will simply be ignored.
         
         >>> with view.sync_imports():
         ...    from numpy import recarray
         importing recarray from numpy on engine(s)
         
         """
         import __builtin__
         local_import = __builtin__.__import__
         modules = set()
         results = []
         @util.interactive
         def remote_import(name, fromlist, level):
             """the function to be passed to apply, that actually performs the import
             on the engine, and loads up the user namespace.
             """
             import sys
             user_ns = globals()
             mod = __import__(name, fromlist=fromlist, level=level)
             if fromlist:
                 for key in fromlist:
                     user_ns[key] = getattr(mod, key)
             else:
                 user_ns[name] = sys.modules[name]
         
         def view_import(name, globals={}, locals={}, fromlist=[], level=-1):
             """the drop-in replacement for __import__, that optionally imports
             locally as well.
             """
             # don't override nested imports
             save_import = __builtin__.__import__
             __builtin__.__import__ = local_import
             
             if imp.lock_held():
                 # this is a side-effect import, don't do it remotely, or even
                 # ignore the local effects
                 return local_import(name, globals, locals, fromlist, level)
             
             imp.acquire_lock()
             if local:
                 mod = local_import(name, globals, locals, fromlist, level)
             else:
                 raise NotImplementedError("remote-only imports not yet implemented")
             imp.release_lock()
             
             key = name+':'+','.join(fromlist or [])
             if level == -1 and key not in modules:
                 modules.add(key)
                 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__.__import__ = save_import
                 
             return mod
         
         # override __import__
         __builtin__.__import__ = view_import
         try:
             # enter the block
             yield
         except ImportError:
             if not local:
                 # ignore import errors if not doing local imports
                 pass
         finally:
             # always restore __import__
             __builtin__.__import__ = local_import
         
         for r in results:
             # raise possible remote ImportErrors here
             r.get()
             
     
     @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 = self.client._build_targets(targets)[0]
         msg_ids = []
         trackers = []
         for ident in _idents:
             msg = self.client.send_apply_message(self._socket, f, args, kwargs, track=track,
                                     ident=ident)
             if track:
                 trackers.append(msg['tracker'])
             msg_ids.append(msg['msg_id'])
         tracker = None if track is False else zmq.MessageTracker(*trackers)
         ar = AsyncResult(self.client, msg_ids, fname=f.__name__, targets=targets, tracker=tracker)
         if block:
             try:
                 return ar.get()
             except KeyboardInterrupt:
                 pass
         return ar
     
     @spin_after
     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:
             AsyncMapResult
                 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:
             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)
     
     def execute(self, code, 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
         """
         return self._really_apply(util._execute, args=(code,), block=block, targets=targets)
     
     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, (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=True):
         """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, basestring):
             pass
         elif isinstance(names, (list,tuple,set)):
             for key in names:
                 if not isinstance(key, basestring):
                     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
         
         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)
         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 = []
         
         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=False):
         """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)
     
     def kill(self, targets=None, block=True):
         """Kill 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.kill(targets=targets, block=block)
     
     #----------------------------------------
     # activate for %px,%autopx magics
     #----------------------------------------
     def activate(self):
         """Make this `View` active for parallel magic commands.
         
         IPython has a magic command syntax to work with `MultiEngineClient` objects.
         In a given IPython session there is a single active one.  While
         there can be many `Views` created and used by the user, 
         there is only one active one.  The active `View` is used whenever 
         the magic commands %px and %autopx are used.
         
         The activate() method is called on a given `View` to make it 
         active.  Once this has been done, the magic commands can be used.
         """
         
         try:
             # This is injected into __builtins__.
             ip = get_ipython()
         except NameError:
             print "The IPython parallel magics (%result, %px, %autopx) only work within IPython."
         else:
             pmagic = ip.plugin_manager.get_plugin('parallelmagic')
             if pmagic is not None:
                 pmagic.active_multiengine_client = self
             else:
                 print "You must first load the parallelmagic extension " \
                       "by doing '%load_ext parallelmagic'"
 
 
 @testdec.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()
     
     _task_scheme = Any()
     _flag_names = List(['targets', 'block', 'track', 'follow', 'after', 'timeout'])
     
     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, (str, AsyncResult, Dependency)):
             return True
         elif isinstance(dep, (list,set, tuple)):
             for d in dep:
                 if not isinstance(d, (str, 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, str):
                     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.
         """
         
         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, long, float, type(None))):
                 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):
         """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 dependencies
             msg = "Pure ZMQ scheduler doesn't support dependencies"
             if (follow or after):
                 # hard fail on DAG dependencies
                 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
         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 targets is None:
             idents = []
         else:
             idents = self.client._build_targets(targets)[0]
         
         after = self._render_dependency(after)
         follow = self._render_dependency(follow)
         subheader = dict(after=after, follow=follow, timeout=timeout, targets=idents)
         
         msg = self.client.send_apply_message(self._socket, f, args, kwargs, track=track,
                                 subheader=subheader)
         tracker = None if track is False else msg['tracker']
         
         ar = AsyncResult(self.client, msg['msg_id'], fname=f.__name__, targets=None, tracker=tracker)
         
         if block:
             try:
                 return ar.get()
             except KeyboardInterrupt:
                 pass
         return ar
         
     @spin_after
     @save_ids
     def map(self, f, *sequences, **kwargs):
         """view.map(f, *sequences, block=self.block, chunksize=1) => 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
             whether to wait for the result or not [default self.block]
         track : bool
             whether to create a MessageTracker to allow the user to 
             safely edit after arrays and buffers during non-copying
             sends.
         chunksize : int
             how many elements should be in each task [default 1]
         
         Returns
         -------
         
         if block=False:
             AsyncMapResult
                 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:
                 the result of map(f,*sequences)
         
         """
         
         # default
         block = kwargs.get('block', self.block)
         chunksize = kwargs.get('chunksize', 1)
         
         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)
         return pf.map(*sequences)
 
 __all__ = ['LoadBalancedView', 'DirectView']
  No newline at end of file