/usr/lib/python3/dist-packages/ipykernel/tests/test_serialize.py is in python3-ipykernel 4.5.2-2.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 | """test serialization tools"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import pickle
from collections import namedtuple
import nose.tools as nt
from ipykernel.serialize import serialize_object, deserialize_object
from IPython.testing import decorators as dec
from ipykernel.pickleutil import CannedArray, CannedClass, interactive
from ipython_genutils.py3compat import iteritems
#-------------------------------------------------------------------------------
# Globals and Utilities
#-------------------------------------------------------------------------------
def roundtrip(obj):
"""roundtrip an object through serialization"""
bufs = serialize_object(obj)
obj2, remainder = deserialize_object(bufs)
nt.assert_equals(remainder, [])
return obj2
SHAPES = ((100,), (1024,10), (10,8,6,5), (), (0,))
DTYPES = ('uint8', 'float64', 'int32', [('g', 'float32')], '|S10')
#-------------------------------------------------------------------------------
# Tests
#-------------------------------------------------------------------------------
def new_array(shape, dtype):
import numpy
return numpy.random.random(shape).astype(dtype)
def test_roundtrip_simple():
for obj in [
'hello',
dict(a='b', b=10),
[1,2,'hi'],
(b'123', 'hello'),
]:
obj2 = roundtrip(obj)
nt.assert_equal(obj, obj2)
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)
nt.assert_equal(obj, obj2)
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)
nt.assert_equal(len(bufs), 2)
obj2, remainder = deserialize_object(bufs)
nt.assert_equal(remainder, [])
nt.assert_equal(obj, obj2)
def test_roundtrip_memoryview():
b = b'asdf' * 1025
view = memoryview(b)
bufs = serialize_object(view)
nt.assert_equal(len(bufs), 2)
v2, remainder = deserialize_object(bufs)
nt.assert_equal(remainder, [])
nt.assert_equal(v2.tobytes(), b)
@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 = new_array(shape, dtype=dtype)
bufs = serialize_object(A)
bufs = [memoryview(b) for b in bufs]
B, r = deserialize_object(bufs)
nt.assert_equal(r, [])
nt.assert_equal(A.shape, B.shape)
nt.assert_equal(A.dtype, B.dtype)
assert_array_equal(A,B)
@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 = new_array(shape, dtype=dtype)
bufs = serialize_object(A)
B, r = deserialize_object(bufs)
nt.assert_equal(r, [])
nt.assert_equal(A.shape, B.shape)
nt.assert_equal(A.dtype, B.dtype)
assert_array_equal(A,B)
@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 = new_array(shape, dtype=dtype)
bufs = serialize_object((A,1,2,b'hello'))
canned = pickle.loads(bufs[0])
nt.assert_is_instance(canned[0], CannedArray)
tup, r = deserialize_object(bufs)
B = tup[0]
nt.assert_equal(r, [])
nt.assert_equal(A.shape, B.shape)
nt.assert_equal(A.dtype, B.dtype)
assert_array_equal(A,B)
@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 = new_array(shape, dtype=dtype)
bufs = serialize_object(dict(a=A,b=1,c=range(20)))
canned = pickle.loads(bufs[0])
nt.assert_is_instance(canned['a'], CannedArray)
d, r = deserialize_object(bufs)
B = d['a']
nt.assert_equal(r, [])
nt.assert_equal(A.shape, B.shape)
nt.assert_equal(A.dtype, B.dtype)
assert_array_equal(A,B)
def test_class():
@interactive
class C(object):
a=5
bufs = serialize_object(dict(C=C))
canned = pickle.loads(bufs[0])
nt.assert_is_instance(canned['C'], CannedClass)
d, r = deserialize_object(bufs)
C2 = d['C']
nt.assert_equal(C2.a, C.a)
def test_class_oldstyle():
@interactive
class C:
a=5
bufs = serialize_object(dict(C=C))
canned = pickle.loads(bufs[0])
nt.assert_is_instance(canned['C'], CannedClass)
d, r = deserialize_object(bufs)
C2 = d['C']
nt.assert_equal(C2.a, C.a)
def test_tuple():
tup = (lambda x:x, 1)
bufs = serialize_object(tup)
canned = pickle.loads(bufs[0])
nt.assert_is_instance(canned, tuple)
t2, r = deserialize_object(bufs)
nt.assert_equal(t2[0](t2[1]), tup[0](tup[1]))
point = namedtuple('point', 'x y')
def test_namedtuple():
p = point(1,2)
bufs = serialize_object(p)
canned = pickle.loads(bufs[0])
nt.assert_is_instance(canned, point)
p2, r = deserialize_object(bufs, globals())
nt.assert_equal(p2.x, p.x)
nt.assert_equal(p2.y, p.y)
def test_list():
lis = [lambda x:x, 1]
bufs = serialize_object(lis)
canned = pickle.loads(bufs[0])
nt.assert_is_instance(canned, list)
l2, r = deserialize_object(bufs)
nt.assert_equal(l2[0](l2[1]), lis[0](lis[1]))
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])
nt.assert_is_instance(canned['D'], CannedClass)
d, r = deserialize_object(bufs)
D2 = d['D']
nt.assert_equal(D2.a, D.a)
nt.assert_equal(D2.b, D.b)
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