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@@ -0,0 +1,115 b'' | |||
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1 | """test serialization tools""" | |
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2 | ||
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3 | #------------------------------------------------------------------------------- | |
|
4 | # Copyright (C) 2011 The IPython Development Team | |
|
5 | # | |
|
6 | # Distributed under the terms of the BSD License. The full license is in | |
|
7 | # the file COPYING, distributed as part of this software. | |
|
8 | #------------------------------------------------------------------------------- | |
|
9 | ||
|
10 | #------------------------------------------------------------------------------- | |
|
11 | # Imports | |
|
12 | #------------------------------------------------------------------------------- | |
|
13 | ||
|
14 | import pickle | |
|
15 | ||
|
16 | import nose.tools as nt | |
|
17 | ||
|
18 | # from unittest import TestCaes | |
|
19 | from IPython.zmq.serialize import serialize_object, unserialize_object | |
|
20 | from IPython.testing import decorators as dec | |
|
21 | from IPython.utils.pickleutil import CannedArray | |
|
22 | ||
|
23 | def roundtrip(obj): | |
|
24 | """roundtrip an object through serialization""" | |
|
25 | bufs = serialize_object(obj) | |
|
26 | obj2, remainder = unserialize_object(bufs) | |
|
27 | nt.assert_equals(remainder, []) | |
|
28 | return obj2 | |
|
29 | ||
|
30 | class C(object): | |
|
31 | """dummy class for """ | |
|
32 | ||
|
33 | def __init__(self, **kwargs): | |
|
34 | for key,value in kwargs.iteritems(): | |
|
35 | setattr(self, key, value) | |
|
36 | ||
|
37 | @dec.parametric | |
|
38 | def test_roundtrip_simple(): | |
|
39 | for obj in [ | |
|
40 | 'hello', | |
|
41 | dict(a='b', b=10), | |
|
42 | [1,2,'hi'], | |
|
43 | (b'123', 'hello'), | |
|
44 | ]: | |
|
45 | obj2 = roundtrip(obj) | |
|
46 | yield nt.assert_equals(obj, obj2) | |
|
47 | ||
|
48 | @dec.parametric | |
|
49 | def test_roundtrip_nested(): | |
|
50 | for obj in [ | |
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51 | dict(a=range(5), b={1:b'hello'}), | |
|
52 | [range(5),[range(3),(1,[b'whoda'])]], | |
|
53 | ]: | |
|
54 | obj2 = roundtrip(obj) | |
|
55 | yield nt.assert_equals(obj, obj2) | |
|
56 | ||
|
57 | @dec.parametric | |
|
58 | def test_roundtrip_buffered(): | |
|
59 | for obj in [ | |
|
60 | dict(a=b"x"*1025), | |
|
61 | b"hello"*500, | |
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62 | [b"hello"*501, 1,2,3] | |
|
63 | ]: | |
|
64 | bufs = serialize_object(obj) | |
|
65 | yield nt.assert_equals(len(bufs), 2) | |
|
66 | obj2, remainder = unserialize_object(bufs) | |
|
67 | yield nt.assert_equals(remainder, []) | |
|
68 | yield nt.assert_equals(obj, obj2) | |
|
69 | ||
|
70 | @dec.parametric | |
|
71 | @dec.skip_without('numpy') | |
|
72 | def test_numpy(): | |
|
73 | import numpy | |
|
74 | from numpy.testing.utils import assert_array_equal | |
|
75 | for shape in ((), (0,), (100,), (1024,10), (10,8,6,5)): | |
|
76 | for dtype in ('uint8', 'float64', 'int32', [('int16', 'float32')]): | |
|
77 | A = numpy.empty(shape, dtype=dtype) | |
|
78 | bufs = serialize_object(A) | |
|
79 | B, r = unserialize_object(bufs) | |
|
80 | yield nt.assert_equals(r, []) | |
|
81 | yield assert_array_equal(A,B) | |
|
82 | ||
|
83 | @dec.parametric | |
|
84 | @dec.skip_without('numpy') | |
|
85 | def test_numpy_in_seq(): | |
|
86 | import numpy | |
|
87 | from numpy.testing.utils import assert_array_equal | |
|
88 | for shape in ((), (0,), (100,), (1024,10), (10,8,6,5)): | |
|
89 | for dtype in ('uint8', 'float64', 'int32', [('int16', 'float32')]): | |
|
90 | A = numpy.empty(shape, dtype=dtype) | |
|
91 | bufs = serialize_object((A,1,2,b'hello')) | |
|
92 | canned = pickle.loads(bufs[0]) | |
|
93 | yield nt.assert_true(canned[0], CannedArray) | |
|
94 | tup, r = unserialize_object(bufs) | |
|
95 | B = tup[0] | |
|
96 | yield nt.assert_equals(r, []) | |
|
97 | yield assert_array_equal(A,B) | |
|
98 | ||
|
99 | @dec.parametric | |
|
100 | @dec.skip_without('numpy') | |
|
101 | def test_numpy_in_dict(): | |
|
102 | import numpy | |
|
103 | from numpy.testing.utils import assert_array_equal | |
|
104 | for shape in ((), (0,), (100,), (1024,10), (10,8,6,5)): | |
|
105 | for dtype in ('uint8', 'float64', 'int32', [('int16', 'float32')]): | |
|
106 | A = numpy.empty(shape, dtype=dtype) | |
|
107 | bufs = serialize_object(dict(a=A,b=1,c=range(20))) | |
|
108 | canned = pickle.loads(bufs[0]) | |
|
109 | yield nt.assert_true(canned['a'], CannedArray) | |
|
110 | d, r = unserialize_object(bufs) | |
|
111 | B = d['a'] | |
|
112 | yield nt.assert_equals(r, []) | |
|
113 | yield assert_array_equal(A,B) | |
|
114 | ||
|
115 |
@@ -239,7 +239,7 b' class TestView(ClusterTestCase, ParametricTestCase):' | |||
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239 | 239 | from numpy.testing.utils import assert_array_equal, assert_array_almost_equal |
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240 | 240 | view = self.client[:] |
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241 | 241 | a = numpy.arange(64) |
|
242 | view.scatter('a', a) | |
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242 | view.scatter('a', a, block=True) | |
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243 | 243 | b = view.gather('a', block=True) |
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244 | 244 | assert_array_equal(b, a) |
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245 | 245 | |
@@ -325,7 +325,7 b' class TestView(ClusterTestCase, ParametricTestCase):' | |||
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325 | 325 | r = view.map_sync(lambda x:x, arr) |
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326 | 326 | self.assertEqual(r, list(arr)) |
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327 | 327 | |
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328 |
def test_scatter |
|
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328 | def test_scatter_gather_nonblocking(self): | |
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329 | 329 | data = range(16) |
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330 | 330 | view = self.client[:] |
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331 | 331 | view.scatter('a', data, block=False) |
@@ -43,17 +43,11 b' from IPython.external.decorator import decorator' | |||
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43 | 43 | |
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44 | 44 | # IPython imports |
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45 | 45 | from IPython.config.application import Application |
|
46 | from IPython.utils import py3compat | |
|
47 | from IPython.utils.pickleutil import can, uncan, canSequence, uncanSequence | |
|
48 | from IPython.utils.newserialized import serialize, unserialize | |
|
49 | 46 | from IPython.zmq.log import EnginePUBHandler |
|
50 | 47 | from IPython.zmq.serialize import ( |
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51 | 48 | unserialize_object, serialize_object, pack_apply_message, unpack_apply_message |
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52 | 49 | ) |
|
53 | 50 | |
|
54 | if py3compat.PY3: | |
|
55 | buffer = memoryview | |
|
56 | ||
|
57 | 51 | #----------------------------------------------------------------------------- |
|
58 | 52 | # Classes |
|
59 | 53 | #----------------------------------------------------------------------------- |
@@ -19,7 +19,22 b' import copy' | |||
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19 | 19 | import sys |
|
20 | 20 | from types import FunctionType |
|
21 | 21 | |
|
22 | try: | |
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23 | import cPickle as pickle | |
|
24 | except ImportError: | |
|
25 | import pickle | |
|
26 | ||
|
27 | try: | |
|
28 | import numpy | |
|
29 | except: | |
|
30 | numpy = None | |
|
31 | ||
|
22 | 32 | import codeutil |
|
33 | import py3compat | |
|
34 | from importstring import import_item | |
|
35 | ||
|
36 | if py3compat.PY3: | |
|
37 | buffer = memoryview | |
|
23 | 38 | |
|
24 | 39 | #------------------------------------------------------------------------------- |
|
25 | 40 | # Classes |
@@ -32,14 +47,16 b' class CannedObject(object):' | |||
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32 | 47 | self.obj = copy.copy(obj) |
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33 | 48 | for key in keys: |
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34 | 49 | setattr(self.obj, key, can(getattr(obj, key))) |
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50 | ||
|
51 | self.buffers = [] | |
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35 | 52 | |
|
36 | ||
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37 | def getObject(self, g=None): | |
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53 | def get_object(self, g=None): | |
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38 | 54 | if g is None: |
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39 |
g = |
|
|
55 | g = {} | |
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40 | 56 | for key in self.keys: |
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41 | 57 | setattr(self.obj, key, uncan(getattr(self.obj, key), g)) |
|
42 | 58 | return self.obj |
|
59 | ||
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43 | 60 | |
|
44 | 61 | class Reference(CannedObject): |
|
45 | 62 | """object for wrapping a remote reference by name.""" |
@@ -47,13 +64,14 b' class Reference(CannedObject):' | |||
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47 | 64 | if not isinstance(name, basestring): |
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48 | 65 | raise TypeError("illegal name: %r"%name) |
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49 | 66 | self.name = name |
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67 | self.buffers = [] | |
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50 | 68 | |
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51 | 69 | def __repr__(self): |
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52 | 70 | return "<Reference: %r>"%self.name |
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53 | 71 | |
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54 |
def get |
|
|
72 | def get_object(self, g=None): | |
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55 | 73 | if g is None: |
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56 |
g = |
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|
74 | g = {} | |
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57 | 75 | |
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58 | 76 | return eval(self.name, g) |
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59 | 77 | |
@@ -61,16 +79,17 b' class Reference(CannedObject):' | |||
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61 | 79 | class CannedFunction(CannedObject): |
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62 | 80 | |
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63 | 81 | def __init__(self, f): |
|
64 |
self._check |
|
|
82 | self._check_type(f) | |
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65 | 83 | self.code = f.func_code |
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66 | 84 | self.defaults = f.func_defaults |
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67 | 85 | self.module = f.__module__ or '__main__' |
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68 | 86 | self.__name__ = f.__name__ |
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87 | self.buffers = [] | |
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69 | 88 | |
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70 |
def _check |
|
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89 | def _check_type(self, obj): | |
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71 | 90 | assert isinstance(obj, FunctionType), "Not a function type" |
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72 | 91 | |
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73 |
def get |
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92 | def get_object(self, g=None): | |
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74 | 93 | # try to load function back into its module: |
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75 | 94 | if not self.module.startswith('__'): |
|
76 | 95 | try: |
@@ -81,30 +100,65 b' class CannedFunction(CannedObject):' | |||
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81 | 100 | g = sys.modules[self.module].__dict__ |
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82 | 101 | |
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83 | 102 | if g is None: |
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84 |
g = |
|
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103 | g = {} | |
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85 | 104 | newFunc = FunctionType(self.code, g, self.__name__, self.defaults) |
|
86 | 105 | return newFunc |
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87 | 106 | |
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107 | ||
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108 | class CannedArray(CannedObject): | |
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109 | def __init__(self, obj): | |
|
110 | self.shape = obj.shape | |
|
111 | self.dtype = obj.dtype | |
|
112 | if sum(obj.shape) == 0: | |
|
113 | # just pickle it | |
|
114 | self.buffers = [pickle.dumps(obj, -1)] | |
|
115 | else: | |
|
116 | # ensure contiguous | |
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117 | obj = numpy.ascontiguousarray(obj, dtype=None) | |
|
118 | self.buffers = [buffer(obj)] | |
|
119 | ||
|
120 | def get_object(self, g=None): | |
|
121 | data = self.buffers[0] | |
|
122 | if sum(self.shape) == 0: | |
|
123 | # no shape, we just pickled it | |
|
124 | return pickle.loads(data) | |
|
125 | else: | |
|
126 | return numpy.frombuffer(data, dtype=self.dtype).reshape(self.shape) | |
|
127 | ||
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128 | ||
|
129 | class CannedBytes(CannedObject): | |
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130 | wrap = bytes | |
|
131 | def __init__(self, obj): | |
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132 | self.buffers = [obj] | |
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133 | ||
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134 | def get_object(self, g=None): | |
|
135 | data = self.buffers[0] | |
|
136 | return self.wrap(data) | |
|
137 | ||
|
138 | def CannedBuffer(CannedBytes): | |
|
139 | wrap = buffer | |
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140 | ||
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88 | 141 | #------------------------------------------------------------------------------- |
|
89 | 142 | # Functions |
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90 | 143 | #------------------------------------------------------------------------------- |
|
91 | 144 | |
|
92 | def can(obj): | |
|
93 | # import here to prevent module-level circular imports | |
|
94 | from IPython.parallel import dependent | |
|
95 | if isinstance(obj, dependent): | |
|
96 | keys = ('f','df') | |
|
97 | return CannedObject(obj, keys=keys) | |
|
98 | elif isinstance(obj, FunctionType): | |
|
99 | return CannedFunction(obj) | |
|
100 | elif isinstance(obj,dict): | |
|
101 | return canDict(obj) | |
|
102 | elif isinstance(obj, (list,tuple)): | |
|
103 | return canSequence(obj) | |
|
104 | else: | |
|
105 | return obj | |
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106 | 145 | |
|
107 |
def can |
|
|
146 | def can(obj): | |
|
147 | """prepare an object for pickling""" | |
|
148 | for cls,canner in can_map.iteritems(): | |
|
149 | if isinstance(cls, basestring): | |
|
150 | try: | |
|
151 | cls = import_item(cls) | |
|
152 | except Exception: | |
|
153 | # not importable | |
|
154 | print "not importable: %r" % cls | |
|
155 | continue | |
|
156 | if isinstance(obj, cls): | |
|
157 | return canner(obj) | |
|
158 | return obj | |
|
159 | ||
|
160 | def can_dict(obj): | |
|
161 | """can the *values* of a dict""" | |
|
108 | 162 | if isinstance(obj, dict): |
|
109 | 163 | newobj = {} |
|
110 | 164 | for k, v in obj.iteritems(): |
@@ -113,7 +167,8 b' def canDict(obj):' | |||
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113 | 167 | else: |
|
114 | 168 | return obj |
|
115 | 169 | |
|
116 |
def can |
|
|
170 | def can_sequence(obj): | |
|
171 | """can the elements of a sequence""" | |
|
117 | 172 | if isinstance(obj, (list, tuple)): |
|
118 | 173 | t = type(obj) |
|
119 | 174 | return t([can(i) for i in obj]) |
@@ -121,16 +176,20 b' def canSequence(obj):' | |||
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121 | 176 | return obj |
|
122 | 177 | |
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123 | 178 | def uncan(obj, g=None): |
|
124 | if isinstance(obj, CannedObject): | |
|
125 | return obj.getObject(g) | |
|
126 |
|
|
|
127 | return uncanDict(obj, g) | |
|
128 | elif isinstance(obj, (list,tuple)): | |
|
129 | return uncanSequence(obj, g) | |
|
130 | else: | |
|
131 | return obj | |
|
132 | ||
|
133 | def uncanDict(obj, g=None): | |
|
179 | """invert canning""" | |
|
180 | for cls,uncanner in uncan_map.iteritems(): | |
|
181 | if isinstance(cls, basestring): | |
|
182 | try: | |
|
183 | cls = import_item(cls) | |
|
184 | except Exception: | |
|
185 | # not importable | |
|
186 | print "not importable: %r" % cls | |
|
187 | continue | |
|
188 | if isinstance(obj, cls): | |
|
189 | return uncanner(obj, g) | |
|
190 | return obj | |
|
191 | ||
|
192 | def uncan_dict(obj, g=None): | |
|
134 | 193 | if isinstance(obj, dict): |
|
135 | 194 | newobj = {} |
|
136 | 195 | for k, v in obj.iteritems(): |
@@ -139,7 +198,7 b' def uncanDict(obj, g=None):' | |||
|
139 | 198 | else: |
|
140 | 199 | return obj |
|
141 | 200 | |
|
142 |
def uncan |
|
|
201 | def uncan_sequence(obj, g=None): | |
|
143 | 202 | if isinstance(obj, (list, tuple)): |
|
144 | 203 | t = type(obj) |
|
145 | 204 | return t([uncan(i,g) for i in obj]) |
@@ -147,5 +206,27 b' def uncanSequence(obj, g=None):' | |||
|
147 | 206 | return obj |
|
148 | 207 | |
|
149 | 208 | |
|
150 | def rebindFunctionGlobals(f, glbls): | |
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151 | return FunctionType(f.func_code, glbls) | |
|
209 | #------------------------------------------------------------------------------- | |
|
210 | # API dictionary | |
|
211 | #------------------------------------------------------------------------------- | |
|
212 | ||
|
213 | # These dicts can be extended for custom serialization of new objects | |
|
214 | ||
|
215 | can_map = { | |
|
216 | 'IPython.parallel.dependent' : lambda obj: CannedObject(obj, keys=('f','df')), | |
|
217 | 'numpy.ndarray' : CannedArray, | |
|
218 | FunctionType : CannedFunction, | |
|
219 | bytes : CannedBytes, | |
|
220 | buffer : CannedBuffer, | |
|
221 | # dict : can_dict, | |
|
222 | # list : can_sequence, | |
|
223 | # tuple : can_sequence, | |
|
224 | } | |
|
225 | ||
|
226 | uncan_map = { | |
|
227 | CannedObject : lambda obj, g: obj.get_object(g), | |
|
228 | # dict : uncan_dict, | |
|
229 | # list : uncan_sequence, | |
|
230 | # tuple : uncan_sequence, | |
|
231 | } | |
|
232 |
@@ -572,8 +572,8 b' class Kernel(Configurable):' | |||
|
572 | 572 | for key in ns.iterkeys(): |
|
573 | 573 | working.pop(key) |
|
574 | 574 | |
|
575 |
|
|
|
576 | result_buf = [packed_result]+buf | |
|
575 | result_buf = serialize_object(result) | |
|
576 | ||
|
577 | 577 | except: |
|
578 | 578 | # invoke IPython traceback formatting |
|
579 | 579 | shell.showtraceback() |
@@ -32,7 +32,9 b' except:' | |||
|
32 | 32 | |
|
33 | 33 | # IPython imports |
|
34 | 34 | from IPython.utils import py3compat |
|
35 |
from IPython.utils.pickleutil import |
|
|
35 | from IPython.utils.pickleutil import ( | |
|
36 | can, uncan, can_sequence, uncan_sequence, CannedObject | |
|
37 | ) | |
|
36 | 38 | from IPython.utils.newserialized import serialize, unserialize |
|
37 | 39 | |
|
38 | 40 | if py3compat.PY3: |
@@ -42,7 +44,32 b' if py3compat.PY3:' | |||
|
42 | 44 | # Serialization Functions |
|
43 | 45 | #----------------------------------------------------------------------------- |
|
44 | 46 | |
|
45 | def serialize_object(obj, threshold=64e-6): | |
|
47 | # maximum items to iterate through in a container | |
|
48 | MAX_ITEMS = 64 | |
|
49 | ||
|
50 | def _extract_buffers(obj, threshold=1024): | |
|
51 | """extract buffers larger than a certain threshold""" | |
|
52 | buffers = [] | |
|
53 | if isinstance(obj, CannedObject) and obj.buffers: | |
|
54 | for i,buf in enumerate(obj.buffers): | |
|
55 | if len(buf) > threshold: | |
|
56 | # buffer larger than threshold, prevent pickling | |
|
57 | obj.buffers[i] = None | |
|
58 | buffers.append(buf) | |
|
59 | elif isinstance(buf, buffer): | |
|
60 | # buffer too small for separate send, coerce to bytes | |
|
61 | # because pickling buffer objects just results in broken pointers | |
|
62 | obj.buffers[i] = bytes(buf) | |
|
63 | return buffers | |
|
64 | ||
|
65 | def _restore_buffers(obj, buffers): | |
|
66 | """restore buffers extracted by """ | |
|
67 | if isinstance(obj, CannedObject) and obj.buffers: | |
|
68 | for i,buf in enumerate(obj.buffers): | |
|
69 | if buf is None: | |
|
70 | obj.buffers[i] = buffers.pop(0) | |
|
71 | ||
|
72 | def serialize_object(obj, threshold=1024): | |
|
46 | 73 | """Serialize an object into a list of sendable buffers. |
|
47 | 74 | |
|
48 | 75 | Parameters |
@@ -50,76 +77,78 b' def serialize_object(obj, threshold=64e-6):' | |||
|
50 | 77 | |
|
51 | 78 | obj : object |
|
52 | 79 | The object to be serialized |
|
53 |
threshold : |
|
|
54 | The threshold for not double-pickling the content. | |
|
55 | ||
|
80 | threshold : int | |
|
81 | The threshold (in bytes) for pulling out data buffers | |
|
82 | to avoid pickling them. | |
|
56 | 83 | |
|
57 | 84 | Returns |
|
58 | 85 | ------- |
|
59 | ('pmd', [bufs]) : | |
|
60 | where pmd is the pickled metadata wrapper, | |
|
61 | bufs is a list of data buffers | |
|
86 | [bufs] : list of buffers representing the serialized object. | |
|
62 | 87 | """ |
|
63 |
|
|
|
64 | if isinstance(obj, (list, tuple)): | |
|
65 |
c |
|
|
66 | slist = map(serialize, clist) | |
|
67 | for s in slist: | |
|
68 | if s.typeDescriptor in ('buffer', 'ndarray') or s.getDataSize() > threshold: | |
|
69 | databuffers.append(s.getData()) | |
|
70 | s.data = None | |
|
71 | return pickle.dumps(slist,-1), databuffers | |
|
72 | elif isinstance(obj, dict): | |
|
73 | sobj = {} | |
|
88 | buffers = [] | |
|
89 | if isinstance(obj, (list, tuple)) and len(obj) < MAX_ITEMS: | |
|
90 | cobj = can_sequence(obj) | |
|
91 | for c in cobj: | |
|
92 | buffers.extend(_extract_buffers(c, threshold)) | |
|
93 | elif isinstance(obj, dict) and len(obj) < MAX_ITEMS: | |
|
94 | cobj = {} | |
|
74 | 95 | for k in sorted(obj.iterkeys()): |
|
75 |
|
|
|
76 | if s.typeDescriptor in ('buffer', 'ndarray') or s.getDataSize() > threshold: | |
|
77 | databuffers.append(s.getData()) | |
|
78 | s.data = None | |
|
79 | sobj[k] = s | |
|
80 | return pickle.dumps(sobj,-1),databuffers | |
|
96 | c = can(obj[k]) | |
|
97 | buffers.extend(_extract_buffers(c, threshold)) | |
|
98 | cobj[k] = c | |
|
81 | 99 | else: |
|
82 |
|
|
|
83 | if s.typeDescriptor in ('buffer', 'ndarray') or s.getDataSize() > threshold: | |
|
84 | databuffers.append(s.getData()) | |
|
85 | s.data = None | |
|
86 | return pickle.dumps(s,-1),databuffers | |
|
87 | ||
|
88 | ||
|
89 | def unserialize_object(bufs): | |
|
90 | """reconstruct an object serialized by serialize_object from data buffers.""" | |
|
91 | bufs = list(bufs) | |
|
92 | sobj = pickle.loads(bufs.pop(0)) | |
|
93 | if isinstance(sobj, (list, tuple)): | |
|
94 | for s in sobj: | |
|
95 | if s.data is None: | |
|
96 | s.data = bufs.pop(0) | |
|
97 | return uncanSequence(map(unserialize, sobj)), bufs | |
|
98 | elif isinstance(sobj, dict): | |
|
100 | cobj = can(obj) | |
|
101 | buffers.extend(_extract_buffers(cobj, threshold)) | |
|
102 | ||
|
103 | buffers.insert(0, pickle.dumps(cobj,-1)) | |
|
104 | return buffers | |
|
105 | ||
|
106 | def unserialize_object(buffers, g=None): | |
|
107 | """reconstruct an object serialized by serialize_object from data buffers. | |
|
108 | ||
|
109 | Parameters | |
|
110 | ---------- | |
|
111 | ||
|
112 | bufs : list of buffers/bytes | |
|
113 | ||
|
114 | g : globals to be used when uncanning | |
|
115 | ||
|
116 | Returns | |
|
117 | ------- | |
|
118 | ||
|
119 | (newobj, bufs) : unpacked object, and the list of remaining unused buffers. | |
|
120 | """ | |
|
121 | bufs = list(buffers) | |
|
122 | canned = pickle.loads(bufs.pop(0)) | |
|
123 | if isinstance(canned, (list, tuple)) and len(canned) < MAX_ITEMS: | |
|
124 | for c in canned: | |
|
125 | _restore_buffers(c, bufs) | |
|
126 | newobj = uncan_sequence(canned, g) | |
|
127 | elif isinstance(canned, dict) and len(canned) < MAX_ITEMS: | |
|
99 | 128 | newobj = {} |
|
100 |
for k in sorted( |
|
|
101 |
|
|
|
102 | if s.data is None: | |
|
103 | s.data = bufs.pop(0) | |
|
104 | newobj[k] = uncan(unserialize(s)) | |
|
105 | return newobj, bufs | |
|
129 | for k in sorted(canned.iterkeys()): | |
|
130 | c = canned[k] | |
|
131 | _restore_buffers(c, bufs) | |
|
132 | newobj[k] = uncan(c, g) | |
|
106 | 133 | else: |
|
107 | if sobj.data is None: | |
|
108 | sobj.data = bufs.pop(0) | |
|
109 | return uncan(unserialize(sobj)), bufs | |
|
134 | _restore_buffers(canned, bufs) | |
|
135 | newobj = uncan(canned, g) | |
|
136 | ||
|
137 | return newobj, bufs | |
|
110 | 138 | |
|
111 |
def pack_apply_message(f, args, kwargs, threshold= |
|
|
139 | def pack_apply_message(f, args, kwargs, threshold=1024): | |
|
112 | 140 | """pack up a function, args, and kwargs to be sent over the wire |
|
113 | 141 | as a series of buffers. Any object whose data is larger than `threshold` |
|
114 |
will not have their data copied (currently only numpy arrays support zero-copy) |
|
|
142 | will not have their data copied (currently only numpy arrays support zero-copy) | |
|
143 | """ | |
|
115 | 144 | msg = [pickle.dumps(can(f),-1)] |
|
116 | 145 | databuffers = [] # for large objects |
|
117 |
sargs |
|
|
118 | msg.append(sargs) | |
|
119 |
databuffers.extend( |
|
|
120 |
skwargs |
|
|
121 | msg.append(skwargs) | |
|
122 |
databuffers.extend( |
|
|
146 | sargs = serialize_object(args,threshold) | |
|
147 | msg.append(sargs[0]) | |
|
148 | databuffers.extend(sargs[1:]) | |
|
149 | skwargs = serialize_object(kwargs,threshold) | |
|
150 | msg.append(skwargs[0]) | |
|
151 | databuffers.extend(skwargs[1:]) | |
|
123 | 152 | msg.extend(databuffers) |
|
124 | 153 | return msg |
|
125 | 154 | |
@@ -131,49 +160,16 b' def unpack_apply_message(bufs, g=None, copy=True):' | |||
|
131 | 160 | if not copy: |
|
132 | 161 | for i in range(3): |
|
133 | 162 | bufs[i] = bufs[i].bytes |
|
134 |
|
|
|
135 |
sargs = |
|
|
136 | skwargs = dict(pickle.loads(bufs.pop(0))) | |
|
137 | # print sargs, skwargs | |
|
138 | f = uncan(cf, g) | |
|
139 | for sa in sargs: | |
|
140 | if sa.data is None: | |
|
141 | m = bufs.pop(0) | |
|
142 | if sa.getTypeDescriptor() in ('buffer', 'ndarray'): | |
|
143 | # always use a buffer, until memoryviews get sorted out | |
|
144 | sa.data = buffer(m) | |
|
145 | # disable memoryview support | |
|
146 | # if copy: | |
|
147 | # sa.data = buffer(m) | |
|
148 | # else: | |
|
149 | # sa.data = m.buffer | |
|
150 | else: | |
|
151 | if copy: | |
|
152 | sa.data = m | |
|
153 | else: | |
|
154 | sa.data = m.bytes | |
|
163 | f = uncan(pickle.loads(bufs.pop(0)), g) | |
|
164 | # sargs = bufs.pop(0) | |
|
165 | # pop kwargs out, so first n-elements are args, serialized | |
|
166 | skwargs = bufs.pop(1) | |
|
167 | args, bufs = unserialize_object(bufs, g) | |
|
168 | # put skwargs back in as the first element | |
|
169 | bufs.insert(0, skwargs) | |
|
170 | kwargs, bufs = unserialize_object(bufs, g) | |
|
155 | 171 | |
|
156 | args = uncanSequence(map(unserialize, sargs), g) | |
|
157 | kwargs = {} | |
|
158 | for k in sorted(skwargs.iterkeys()): | |
|
159 | sa = skwargs[k] | |
|
160 | if sa.data is None: | |
|
161 | m = bufs.pop(0) | |
|
162 | if sa.getTypeDescriptor() in ('buffer', 'ndarray'): | |
|
163 | # always use a buffer, until memoryviews get sorted out | |
|
164 | sa.data = buffer(m) | |
|
165 | # disable memoryview support | |
|
166 | # if copy: | |
|
167 | # sa.data = buffer(m) | |
|
168 | # else: | |
|
169 | # sa.data = m.buffer | |
|
170 | else: | |
|
171 | if copy: | |
|
172 | sa.data = m | |
|
173 | else: | |
|
174 | sa.data = m.bytes | |
|
175 | ||
|
176 | kwargs[k] = uncan(unserialize(sa), g) | |
|
172 | assert not bufs, "Shouldn't be any data left over" | |
|
177 | 173 | |
|
178 | 174 | return f,args,kwargs |
|
179 | 175 |
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