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Merge pull request #3756 from minrk/wiredoc...
Merge pull request #3756 from minrk/wiredoc document the wire protocol in the messaging doc also update the digest scheme to use sha256 and make this configurable, since md5 is the previous default and has been shown to be bad. More messaging docs to update here: - [x] remove get/setattr on kernel - [x] remove crash messages - [x] completion requests do not behave as documented - [x] object_info is misdocumented (`name` is actually `oname` in object_info_request)

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test_serialize.py
241 lines | 7.2 KiB | text/x-python | PythonLexer
"""test serialization tools"""
#-------------------------------------------------------------------------------
# Copyright (C) 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
#-------------------------------------------------------------------------------
import pickle
from collections import namedtuple
import nose.tools as nt
# from unittest import TestCaes
from IPython.kernel.zmq.serialize import serialize_object, unserialize_object
from IPython.testing import decorators as dec
from IPython.utils.pickleutil import CannedArray, CannedClass
from IPython.parallel import interactive
#-------------------------------------------------------------------------------
# Globals and Utilities
#-------------------------------------------------------------------------------
def roundtrip(obj):
"""roundtrip an object through serialization"""
bufs = serialize_object(obj)
obj2, remainder = unserialize_object(bufs)
nt.assert_equals(remainder, [])
return obj2
class C(object):
"""dummy class for """
def __init__(self, **kwargs):
for key,value in kwargs.iteritems():
setattr(self, key, value)
SHAPES = ((100,), (1024,10), (10,8,6,5), (), (0,))
DTYPES = ('uint8', 'float64', 'int32', [('g', 'float32')], '|S10')
#-------------------------------------------------------------------------------
# Tests
#-------------------------------------------------------------------------------
@dec.parametric
def test_roundtrip_simple():
for obj in [
'hello',
dict(a='b', b=10),
[1,2,'hi'],
(b'123', 'hello'),
]:
obj2 = roundtrip(obj)
yield nt.assert_equals(obj, obj2)
@dec.parametric
def test_roundtrip_nested():
for obj in [
dict(a=range(5), b={1:b'hello'}),
[range(5),[range(3),(1,[b'whoda'])]],
]:
obj2 = roundtrip(obj)
yield nt.assert_equals(obj, obj2)
@dec.parametric
def test_roundtrip_buffered():
for obj in [
dict(a=b"x"*1025),
b"hello"*500,
[b"hello"*501, 1,2,3]
]:
bufs = serialize_object(obj)
yield nt.assert_equals(len(bufs), 2)
obj2, remainder = unserialize_object(bufs)
yield nt.assert_equals(remainder, [])
yield nt.assert_equals(obj, obj2)
def _scrub_nan(A):
"""scrub nans out of empty arrays
since nan != nan
"""
import numpy
if A.dtype.fields and A.shape:
for field in A.dtype.fields.keys():
try:
A[field][numpy.isnan(A[field])] = 0
except (TypeError, NotImplementedError):
# e.g. str dtype
pass
@dec.parametric
@dec.skip_without('numpy')
def test_numpy():
import numpy
from numpy.testing.utils import assert_array_equal
for shape in SHAPES:
for dtype in DTYPES:
A = numpy.empty(shape, dtype=dtype)
_scrub_nan(A)
bufs = serialize_object(A)
B, r = unserialize_object(bufs)
yield nt.assert_equals(r, [])
yield nt.assert_equals(A.shape, B.shape)
yield nt.assert_equals(A.dtype, B.dtype)
yield assert_array_equal(A,B)
@dec.parametric
@dec.skip_without('numpy')
def test_recarray():
import numpy
from numpy.testing.utils import assert_array_equal
for shape in SHAPES:
for dtype in [
[('f', float), ('s', '|S10')],
[('n', int), ('s', '|S1'), ('u', 'uint32')],
]:
A = numpy.empty(shape, dtype=dtype)
_scrub_nan(A)
bufs = serialize_object(A)
B, r = unserialize_object(bufs)
yield nt.assert_equals(r, [])
yield nt.assert_equals(A.shape, B.shape)
yield nt.assert_equals(A.dtype, B.dtype)
yield assert_array_equal(A,B)
@dec.parametric
@dec.skip_without('numpy')
def test_numpy_in_seq():
import numpy
from numpy.testing.utils import assert_array_equal
for shape in SHAPES:
for dtype in DTYPES:
A = numpy.empty(shape, dtype=dtype)
_scrub_nan(A)
bufs = serialize_object((A,1,2,b'hello'))
canned = pickle.loads(bufs[0])
yield nt.assert_true(canned[0], CannedArray)
tup, r = unserialize_object(bufs)
B = tup[0]
yield nt.assert_equals(r, [])
yield nt.assert_equals(A.shape, B.shape)
yield nt.assert_equals(A.dtype, B.dtype)
yield assert_array_equal(A,B)
@dec.parametric
@dec.skip_without('numpy')
def test_numpy_in_dict():
import numpy
from numpy.testing.utils import assert_array_equal
for shape in SHAPES:
for dtype in DTYPES:
A = numpy.empty(shape, dtype=dtype)
_scrub_nan(A)
bufs = serialize_object(dict(a=A,b=1,c=range(20)))
canned = pickle.loads(bufs[0])
yield nt.assert_true(canned['a'], CannedArray)
d, r = unserialize_object(bufs)
B = d['a']
yield nt.assert_equals(r, [])
yield nt.assert_equals(A.shape, B.shape)
yield nt.assert_equals(A.dtype, B.dtype)
yield assert_array_equal(A,B)
@dec.parametric
def test_class():
@interactive
class C(object):
a=5
bufs = serialize_object(dict(C=C))
canned = pickle.loads(bufs[0])
yield nt.assert_true(canned['C'], CannedClass)
d, r = unserialize_object(bufs)
C2 = d['C']
yield nt.assert_equal(C2.a, C.a)
@dec.parametric
def test_class_oldstyle():
@interactive
class C:
a=5
bufs = serialize_object(dict(C=C))
canned = pickle.loads(bufs[0])
yield nt.assert_true(isinstance(canned['C'], CannedClass))
d, r = unserialize_object(bufs)
C2 = d['C']
yield nt.assert_equal(C2.a, C.a)
@dec.parametric
def test_tuple():
tup = (lambda x:x, 1)
bufs = serialize_object(tup)
canned = pickle.loads(bufs[0])
yield nt.assert_true(isinstance(canned, tuple))
t2, r = unserialize_object(bufs)
yield nt.assert_equal(t2[0](t2[1]), tup[0](tup[1]))
point = namedtuple('point', 'x y')
@dec.parametric
def test_namedtuple():
p = point(1,2)
bufs = serialize_object(p)
canned = pickle.loads(bufs[0])
yield nt.assert_true(isinstance(canned, point))
p2, r = unserialize_object(bufs, globals())
yield nt.assert_equal(p2.x, p.x)
yield nt.assert_equal(p2.y, p.y)
@dec.parametric
def test_list():
lis = [lambda x:x, 1]
bufs = serialize_object(lis)
canned = pickle.loads(bufs[0])
yield nt.assert_true(isinstance(canned, list))
l2, r = unserialize_object(bufs)
yield nt.assert_equal(l2[0](l2[1]), lis[0](lis[1]))
@dec.parametric
def test_class_inheritance():
@interactive
class C(object):
a=5
@interactive
class D(C):
b=10
bufs = serialize_object(dict(D=D))
canned = pickle.loads(bufs[0])
yield nt.assert_true(canned['D'], CannedClass)
d, r = unserialize_object(bufs)
D2 = d['D']
yield nt.assert_equal(D2.a, D.a)
yield nt.assert_equal(D2.b, D.b)