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simplify completer logic as we don't exec on behalf of cell...
simplify completer logic as we don't exec on behalf of cell also skip making kernel completion request if kernel is busy

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parallelmagic.py
343 lines | 10.4 KiB | text/x-python | PythonLexer
# encoding: utf-8
"""
=============
parallelmagic
=============
Magic command interface for interactive parallel work.
Usage
=====
``%autopx``
{AUTOPX_DOC}
``%px``
{PX_DOC}
``%result``
{RESULT_DOC}
"""
#-----------------------------------------------------------------------------
# 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
#-----------------------------------------------------------------------------
import ast
import re
from IPython.core.error import UsageError
from IPython.core.magic import Magics, magics_class, line_magic, cell_magic
from IPython.testing.skipdoctest import skip_doctest
#-----------------------------------------------------------------------------
# Definitions of magic functions for use with IPython
#-----------------------------------------------------------------------------
NO_ACTIVE_VIEW = "Use activate() on a DirectView object to use it with magics."
@magics_class
class ParallelMagics(Magics):
"""A set of magics useful when controlling a parallel IPython cluster.
"""
# A flag showing if autopx is activated or not
_autopx = False
# the current view used by the magics:
active_view = None
@skip_doctest
@line_magic
def result(self, parameter_s=''):
"""Print the result of command i on all engines.
To use this a :class:`DirectView` instance must be created
and then activated by calling its :meth:`activate` method.
This lets you recall the results of %px computations after
asynchronous submission (view.block=False).
Then you can do the following::
In [23]: %px os.getpid()
Async parallel execution on engine(s): all
In [24]: %result
[ 8] Out[10]: 60920
[ 9] Out[10]: 60921
[10] Out[10]: 60922
[11] Out[10]: 60923
"""
if self.active_view is None:
raise UsageError(NO_ACTIVE_VIEW)
stride = len(self.active_view)
try:
index = int(parameter_s)
except:
index = -1
msg_ids = self.active_view.history[stride * index:(stride * (index + 1)) or None]
result = self.active_view.get_result(msg_ids)
result.get()
result.display_outputs()
@skip_doctest
@line_magic
def px(self, parameter_s=''):
"""Executes the given python command in parallel.
To use this a :class:`DirectView` instance must be created
and then activated by calling its :meth:`activate` method.
Then you can do the following::
In [24]: %px a = os.getpid()
Parallel execution on engine(s): all
In [25]: %px print a
[stdout:0] 1234
[stdout:1] 1235
[stdout:2] 1236
[stdout:3] 1237
"""
return self.parallel_execute(parameter_s)
def parallel_execute(self, cell, block=None, groupby='type'):
"""implementation used by %px and %%parallel"""
if self.active_view is None:
raise UsageError(NO_ACTIVE_VIEW)
# defaults:
block = self.active_view.block if block is None else block
base = "Parallel" if block else "Async parallel"
print base + " execution on engine(s): %s" % self.active_view.targets
result = self.active_view.execute(cell, silent=False, block=False)
if block:
result.get()
result.display_outputs(groupby)
else:
# return AsyncResult only on non-blocking submission
return result
@skip_doctest
@cell_magic('px')
def cell_px(self, line='', cell=None):
"""Executes the given python command in parallel.
Cell magic usage:
%%px [-o] [-e] [--group-options=type|engine|order] [--[no]block]
Options (%%px cell magic only):
-o: collate outputs in oder (same as group-outputs=order)
-e: group outputs by engine (same as group-outputs=engine)
--group-outputs=type [default behavior]:
each output type (stdout, stderr, displaypub) for all engines
displayed together.
--group-outputs=order:
The same as 'type', but individual displaypub outputs (e.g. plots)
will be interleaved, so it will display all of the first plots,
then all of the second plots, etc.
--group-outputs=engine:
All of an engine's output is displayed before moving on to the next.
--[no]block:
Whether or not to block for the execution to complete
(and display the results). If unspecified, the active view's
To use this a :class:`DirectView` instance must be created
and then activated by calling its :meth:`activate` method.
Then you can do the following::
In [24]: %%parallel --noblock a = os.getpid()
Async parallel execution on engine(s): all
In [25]: %px print a
[stdout:0] 1234
[stdout:1] 1235
[stdout:2] 1236
[stdout:3] 1237
"""
block = None
groupby = 'type'
# as a cell magic, we accept args
opts, _ = self.parse_options(line, 'oe', 'group-outputs=', 'block', 'noblock')
if 'group-outputs' in opts:
groupby = opts['group-outputs']
elif 'o' in opts:
groupby = 'order'
elif 'e' in opts:
groupby = 'engine'
if 'block' in opts:
block = True
elif 'noblock' in opts:
block = False
return self.parallel_execute(cell, block=block, groupby=groupby)
@skip_doctest
@line_magic
def autopx(self, parameter_s=''):
"""Toggles auto parallel mode.
To use this a :class:`DirectView` instance must be created
and then activated by calling its :meth:`activate` method. Once this
is called, all commands typed at the command line are send to
the engines to be executed in parallel. To control which engine
are used, set the ``targets`` attributed of the multiengine client
before entering ``%autopx`` mode.
Then you can do the following::
In [25]: %autopx
%autopx to enabled
In [26]: a = 10
Parallel execution on engine(s): [0,1,2,3]
In [27]: print a
Parallel execution on engine(s): [0,1,2,3]
[stdout:0] 10
[stdout:1] 10
[stdout:2] 10
[stdout:3] 10
In [27]: %autopx
%autopx disabled
"""
if self._autopx:
self._disable_autopx()
else:
self._enable_autopx()
def _enable_autopx(self):
"""Enable %autopx mode by saving the original run_cell and installing
pxrun_cell.
"""
if self.active_view is None:
raise UsageError(NO_ACTIVE_VIEW)
# override run_cell
self._original_run_cell = self.shell.run_cell
self.shell.run_cell = self.pxrun_cell
self._autopx = True
print "%autopx enabled"
def _disable_autopx(self):
"""Disable %autopx by restoring the original InteractiveShell.run_cell.
"""
if self._autopx:
self.shell.run_cell = self._original_run_cell
self._autopx = False
print "%autopx disabled"
def pxrun_cell(self, raw_cell, store_history=False, silent=False):
"""drop-in replacement for InteractiveShell.run_cell.
This executes code remotely, instead of in the local namespace.
See InteractiveShell.run_cell for details.
"""
if (not raw_cell) or raw_cell.isspace():
return
ipself = self.shell
with ipself.builtin_trap:
cell = ipself.prefilter_manager.prefilter_lines(raw_cell)
# Store raw and processed history
if store_history:
ipself.history_manager.store_inputs(ipself.execution_count,
cell, raw_cell)
# ipself.logger.log(cell, raw_cell)
cell_name = ipself.compile.cache(cell, ipself.execution_count)
try:
ast.parse(cell, filename=cell_name)
except (OverflowError, SyntaxError, ValueError, TypeError,
MemoryError):
# Case 1
ipself.showsyntaxerror()
ipself.execution_count += 1
return None
except NameError:
# ignore name errors, because we don't know the remote keys
pass
if store_history:
# Write output to the database. Does nothing unless
# history output logging is enabled.
ipself.history_manager.store_output(ipself.execution_count)
# Each cell is a *single* input, regardless of how many lines it has
ipself.execution_count += 1
if re.search(r'get_ipython\(\)\.magic\(u?["\']%?autopx', cell):
self._disable_autopx()
return False
else:
try:
result = self.active_view.execute(cell, silent=False, block=False)
except:
ipself.showtraceback()
return True
else:
if self.active_view.block:
try:
result.get()
except:
self.shell.showtraceback()
return True
else:
with ipself.builtin_trap:
result.display_outputs()
return False
__doc__ = __doc__.format(
AUTOPX_DOC = ' '*8 + ParallelMagics.autopx.__doc__,
PX_DOC = ' '*8 + ParallelMagics.px.__doc__,
RESULT_DOC = ' '*8 + ParallelMagics.result.__doc__
)
_loaded = False
def load_ipython_extension(ip):
"""Load the extension in IPython."""
global _loaded
if not _loaded:
ip.register_magics(ParallelMagics)
_loaded = True