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add KernelClient to IPython.kernel namespace
add KernelClient to IPython.kernel namespace

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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)