test_serialize.py
228 lines
| 6.8 KiB
| text/x-python
|
PythonLexer
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r7967 | """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 | ||||
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r9713 | from collections import namedtuple | ||
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r7967 | |||
import nose.tools as nt | ||||
# from unittest import TestCaes | ||||
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r9372 | from IPython.kernel.zmq.serialize import serialize_object, unserialize_object | ||
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r7967 | from IPython.testing import decorators as dec | ||
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r9001 | from IPython.utils.pickleutil import CannedArray, CannedClass | ||
from IPython.parallel import interactive | ||||
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r7967 | |||
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r7972 | #------------------------------------------------------------------------------- | ||
# Globals and Utilities | ||||
#------------------------------------------------------------------------------- | ||||
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r7967 | 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) | ||||
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r7972 | SHAPES = ((100,), (1024,10), (10,8,6,5), (), (0,)) | ||
DTYPES = ('uint8', 'float64', 'int32', [('g', 'float32')], '|S10') | ||||
#------------------------------------------------------------------------------- | ||||
# Tests | ||||
#------------------------------------------------------------------------------- | ||||
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r7967 | def test_roundtrip_simple(): | ||
for obj in [ | ||||
'hello', | ||||
dict(a='b', b=10), | ||||
[1,2,'hi'], | ||||
(b'123', 'hello'), | ||||
]: | ||||
obj2 = roundtrip(obj) | ||||
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r12374 | nt.assert_equal(obj, obj2) | ||
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r7967 | |||
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) | ||||
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r12374 | nt.assert_equal(obj, obj2) | ||
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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) | ||||
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r12374 | nt.assert_equal(len(bufs), 2) | ||
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r7967 | obj2, remainder = unserialize_object(bufs) | ||
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r12374 | nt.assert_equal(remainder, []) | ||
nt.assert_equal(obj, obj2) | ||||
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r7967 | |||
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r7972 | 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 | ||||
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r7975 | except (TypeError, NotImplementedError): | ||
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r7972 | # e.g. str dtype | ||
pass | ||||
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r7967 | @dec.skip_without('numpy') | ||
def test_numpy(): | ||||
import numpy | ||||
from numpy.testing.utils import assert_array_equal | ||||
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r7972 | 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) | ||||
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r12374 | nt.assert_equal(r, []) | ||
nt.assert_equal(A.shape, B.shape) | ||||
nt.assert_equal(A.dtype, B.dtype) | ||||
assert_array_equal(A,B) | ||||
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r7972 | |||
@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')], | ||||
]: | ||||
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r7967 | A = numpy.empty(shape, dtype=dtype) | ||
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r7972 | _scrub_nan(A) | ||
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r7967 | bufs = serialize_object(A) | ||
B, r = unserialize_object(bufs) | ||||
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r12374 | nt.assert_equal(r, []) | ||
nt.assert_equal(A.shape, B.shape) | ||||
nt.assert_equal(A.dtype, B.dtype) | ||||
assert_array_equal(A,B) | ||||
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r7967 | |||
@dec.skip_without('numpy') | ||||
def test_numpy_in_seq(): | ||||
import numpy | ||||
from numpy.testing.utils import assert_array_equal | ||||
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r7972 | for shape in SHAPES: | ||
for dtype in DTYPES: | ||||
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r7967 | A = numpy.empty(shape, dtype=dtype) | ||
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r7972 | _scrub_nan(A) | ||
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r7967 | bufs = serialize_object((A,1,2,b'hello')) | ||
canned = pickle.loads(bufs[0]) | ||||
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r12374 | nt.assert_is_instance(canned[0], CannedArray) | ||
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r7967 | tup, r = unserialize_object(bufs) | ||
B = tup[0] | ||||
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r12374 | nt.assert_equal(r, []) | ||
nt.assert_equal(A.shape, B.shape) | ||||
nt.assert_equal(A.dtype, B.dtype) | ||||
assert_array_equal(A,B) | ||||
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r7967 | |||
@dec.skip_without('numpy') | ||||
def test_numpy_in_dict(): | ||||
import numpy | ||||
from numpy.testing.utils import assert_array_equal | ||||
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r7972 | for shape in SHAPES: | ||
for dtype in DTYPES: | ||||
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r7967 | A = numpy.empty(shape, dtype=dtype) | ||
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r7972 | _scrub_nan(A) | ||
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r7967 | bufs = serialize_object(dict(a=A,b=1,c=range(20))) | ||
canned = pickle.loads(bufs[0]) | ||||
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r12374 | nt.assert_is_instance(canned['a'], CannedArray) | ||
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r7967 | d, r = unserialize_object(bufs) | ||
B = d['a'] | ||||
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r12374 | nt.assert_equal(r, []) | ||
nt.assert_equal(A.shape, B.shape) | ||||
nt.assert_equal(A.dtype, B.dtype) | ||||
assert_array_equal(A,B) | ||||
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def test_class(): | ||||
@interactive | ||||
class C(object): | ||||
a=5 | ||||
bufs = serialize_object(dict(C=C)) | ||||
canned = pickle.loads(bufs[0]) | ||||
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r12374 | nt.assert_is_instance(canned['C'], CannedClass) | ||
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r9001 | d, r = unserialize_object(bufs) | ||
C2 = d['C'] | ||||
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r12374 | nt.assert_equal(C2.a, C.a) | ||
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def test_class_oldstyle(): | ||||
@interactive | ||||
class C: | ||||
a=5 | ||||
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r7967 | |||
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r9001 | bufs = serialize_object(dict(C=C)) | ||
canned = pickle.loads(bufs[0]) | ||||
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r12374 | nt.assert_is_instance(canned['C'], CannedClass) | ||
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r9001 | d, r = unserialize_object(bufs) | ||
C2 = d['C'] | ||||
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r12374 | nt.assert_equal(C2.a, C.a) | ||
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r7967 | |||
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r9713 | def test_tuple(): | ||
tup = (lambda x:x, 1) | ||||
bufs = serialize_object(tup) | ||||
canned = pickle.loads(bufs[0]) | ||||
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r12374 | nt.assert_is_instance(canned, tuple) | ||
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r9713 | t2, r = unserialize_object(bufs) | ||
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r12374 | nt.assert_equal(t2[0](t2[1]), tup[0](tup[1])) | ||
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point = namedtuple('point', 'x y') | ||||
def test_namedtuple(): | ||||
p = point(1,2) | ||||
bufs = serialize_object(p) | ||||
canned = pickle.loads(bufs[0]) | ||||
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r12374 | nt.assert_is_instance(canned, point) | ||
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r9713 | p2, r = unserialize_object(bufs, globals()) | ||
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r12374 | nt.assert_equal(p2.x, p.x) | ||
nt.assert_equal(p2.y, p.y) | ||||
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def test_list(): | ||||
lis = [lambda x:x, 1] | ||||
bufs = serialize_object(lis) | ||||
canned = pickle.loads(bufs[0]) | ||||
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r12374 | nt.assert_is_instance(canned, list) | ||
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r9713 | l2, r = unserialize_object(bufs) | ||
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r12374 | nt.assert_equal(l2[0](l2[1]), lis[0](lis[1])) | ||
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r9713 | |||
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r9001 | 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]) | ||||
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r12374 | nt.assert_is_instance(canned['D'], CannedClass) | ||
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r9001 | d, r = unserialize_object(bufs) | ||
D2 = d['D'] | ||||
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r12374 | nt.assert_equal(D2.a, D.a) | ||
nt.assert_equal(D2.b, D.b) | ||||