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better flush iopub with AsyncResults...
better flush iopub with AsyncResults requesting metadata (e.g. ar.data or ar.stdout) will result in flushing iopub if the outputs are incomplete, so separate wait(0) need not be called. This also applies the workaround discussed in #2215

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serialize.py
180 lines | 5.7 KiB | text/x-python | PythonLexer
"""serialization utilities for apply messages
Authors:
* Min RK
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2010-2011 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
#-----------------------------------------------------------------------------
# Standard library imports
import logging
import os
import re
import socket
import sys
try:
import cPickle
pickle = cPickle
except:
cPickle = None
import pickle
# IPython imports
from IPython.utils import py3compat
from IPython.utils.pickleutil import (
can, uncan, can_sequence, uncan_sequence, CannedObject
)
if py3compat.PY3:
buffer = memoryview
#-----------------------------------------------------------------------------
# Serialization Functions
#-----------------------------------------------------------------------------
# default values for the thresholds:
MAX_ITEMS = 64
MAX_BYTES = 1024
def _extract_buffers(obj, threshold=MAX_BYTES):
"""extract buffers larger than a certain threshold"""
buffers = []
if isinstance(obj, CannedObject) and obj.buffers:
for i,buf in enumerate(obj.buffers):
if len(buf) > threshold:
# buffer larger than threshold, prevent pickling
obj.buffers[i] = None
buffers.append(buf)
elif isinstance(buf, buffer):
# buffer too small for separate send, coerce to bytes
# because pickling buffer objects just results in broken pointers
obj.buffers[i] = bytes(buf)
return buffers
def _restore_buffers(obj, buffers):
"""restore buffers extracted by """
if isinstance(obj, CannedObject) and obj.buffers:
for i,buf in enumerate(obj.buffers):
if buf is None:
obj.buffers[i] = buffers.pop(0)
def serialize_object(obj, buffer_threshold=MAX_BYTES, item_threshold=MAX_ITEMS):
"""Serialize an object into a list of sendable buffers.
Parameters
----------
obj : object
The object to be serialized
buffer_threshold : int
The threshold (in bytes) for pulling out data buffers
to avoid pickling them.
item_threshold : int
The maximum number of items over which canning will iterate.
Containers (lists, dicts) larger than this will be pickled without
introspection.
Returns
-------
[bufs] : list of buffers representing the serialized object.
"""
buffers = []
if isinstance(obj, (list, tuple)) and len(obj) < item_threshold:
cobj = can_sequence(obj)
for c in cobj:
buffers.extend(_extract_buffers(c, buffer_threshold))
elif isinstance(obj, dict) and len(obj) < item_threshold:
cobj = {}
for k in sorted(obj.iterkeys()):
c = can(obj[k])
buffers.extend(_extract_buffers(c, buffer_threshold))
cobj[k] = c
else:
cobj = can(obj)
buffers.extend(_extract_buffers(cobj, buffer_threshold))
buffers.insert(0, pickle.dumps(cobj,-1))
return buffers
def unserialize_object(buffers, g=None):
"""reconstruct an object serialized by serialize_object from data buffers.
Parameters
----------
bufs : list of buffers/bytes
g : globals to be used when uncanning
Returns
-------
(newobj, bufs) : unpacked object, and the list of remaining unused buffers.
"""
bufs = list(buffers)
canned = pickle.loads(bufs.pop(0))
if isinstance(canned, (list, tuple)) and len(canned) < MAX_ITEMS:
for c in canned:
_restore_buffers(c, bufs)
newobj = uncan_sequence(canned, g)
elif isinstance(canned, dict) and len(canned) < MAX_ITEMS:
newobj = {}
for k in sorted(canned.iterkeys()):
c = canned[k]
_restore_buffers(c, bufs)
newobj[k] = uncan(c, g)
else:
_restore_buffers(canned, bufs)
newobj = uncan(canned, g)
return newobj, bufs
def pack_apply_message(f, args, kwargs, buffer_threshold=MAX_BYTES, item_threshold=MAX_ITEMS):
"""pack up a function, args, and kwargs to be sent over the wire
as a series of buffers. Any object whose data is larger than `threshold`
will not have their data copied (currently only numpy arrays support zero-copy)
"""
msg = [pickle.dumps(can(f),-1)]
databuffers = [] # for large objects
sargs = serialize_object(args, buffer_threshold, item_threshold)
msg.append(sargs[0])
databuffers.extend(sargs[1:])
skwargs = serialize_object(kwargs, buffer_threshold, item_threshold)
msg.append(skwargs[0])
databuffers.extend(skwargs[1:])
msg.extend(databuffers)
return msg
def unpack_apply_message(bufs, g=None, copy=True):
"""unpack f,args,kwargs from buffers packed by pack_apply_message()
Returns: original f,args,kwargs"""
bufs = list(bufs) # allow us to pop
assert len(bufs) >= 3, "not enough buffers!"
if not copy:
for i in range(3):
bufs[i] = bufs[i].bytes
f = uncan(pickle.loads(bufs.pop(0)), g)
# sargs = bufs.pop(0)
# pop kwargs out, so first n-elements are args, serialized
skwargs = bufs.pop(1)
args, bufs = unserialize_object(bufs, g)
# put skwargs back in as the first element
bufs.insert(0, skwargs)
kwargs, bufs = unserialize_object(bufs, g)
assert not bufs, "Shouldn't be any data left over"
return f,args,kwargs