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Fix typo in storemagic module docstring...
Fix typo in storemagic module docstring Closes gh-5611

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r13361:52dae015
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test_serialize.py
229 lines | 6.8 KiB | text/x-python | PythonLexer
MinRK
better serialization for parallel code...
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
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Fix references to dict.iteritems and dict.itervalues
r13361 from IPython.utils.py3compat import iteritems
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r9001 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):
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r13361 for key,value in iteritems(kwargs):
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r7967 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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Remove uses of @parametric decorator
r12374 nt.assert_equal(obj, obj2)
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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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Remove uses of @parametric decorator
r12374 nt.assert_equal(obj, obj2)
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r7967
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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Remove uses of @parametric decorator
r12374 nt.assert_equal(len(bufs), 2)
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r7967 obj2, remainder = unserialize_object(bufs)
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Remove uses of @parametric decorator
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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catch NotImplementedError when using isnan in test...
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)
Thomas Kluyver
Remove uses of @parametric decorator
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)
Thomas Kluyver
Remove uses of @parametric decorator
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])
Thomas Kluyver
Remove uses of @parametric decorator
r12374 nt.assert_is_instance(canned[0], CannedArray)
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r7967 tup, r = unserialize_object(bufs)
B = tup[0]
Thomas Kluyver
Remove uses of @parametric decorator
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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@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])
Thomas Kluyver
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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']
Thomas Kluyver
Remove uses of @parametric decorator
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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r9001
def test_class():
@interactive
class C(object):
a=5
bufs = serialize_object(dict(C=C))
canned = pickle.loads(bufs[0])
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Remove uses of @parametric decorator
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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r9001
def test_class_oldstyle():
@interactive
class C:
a=5
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r9001 bufs = serialize_object(dict(C=C))
canned = pickle.loads(bufs[0])
Thomas Kluyver
Remove uses of @parametric decorator
r12374 nt.assert_is_instance(canned['C'], CannedClass)
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r9001 d, r = unserialize_object(bufs)
C2 = d['C']
Thomas Kluyver
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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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r9713
def test_list():
lis = [lambda x:x, 1]
bufs = serialize_object(lis)
canned = pickle.loads(bufs[0])
Thomas Kluyver
Remove uses of @parametric decorator
r12374 nt.assert_is_instance(canned, list)
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test serializing lists / tuples / namedtuples
r9713 l2, r = unserialize_object(bufs)
Thomas Kluyver
Remove uses of @parametric decorator
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])
Thomas Kluyver
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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']
Thomas Kluyver
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r12374 nt.assert_equal(D2.a, D.a)
nt.assert_equal(D2.b, D.b)