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"""test serialization tools"""
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#-------------------------------------------------------------------------------
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# Copyright (C) 2011 The IPython Development Team
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#
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# Distributed under the terms of the BSD License. The full license is in
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# the file COPYING, distributed as part of this software.
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#-------------------------------------------------------------------------------
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#-------------------------------------------------------------------------------
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# Imports
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#-------------------------------------------------------------------------------
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import pickle
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import nose.tools as nt
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# from unittest import TestCaes
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from IPython.zmq.serialize import serialize_object, unserialize_object
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from IPython.testing import decorators as dec
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from IPython.utils.pickleutil import CannedArray, CannedClass
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from IPython.parallel import interactive
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#-------------------------------------------------------------------------------
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# Globals and Utilities
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#-------------------------------------------------------------------------------
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def roundtrip(obj):
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"""roundtrip an object through serialization"""
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bufs = serialize_object(obj)
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obj2, remainder = unserialize_object(bufs)
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nt.assert_equals(remainder, [])
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return obj2
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class C(object):
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"""dummy class for """
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def __init__(self, **kwargs):
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for key,value in kwargs.iteritems():
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setattr(self, key, value)
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SHAPES = ((100,), (1024,10), (10,8,6,5), (), (0,))
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DTYPES = ('uint8', 'float64', 'int32', [('g', 'float32')], '|S10')
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#-------------------------------------------------------------------------------
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# Tests
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#-------------------------------------------------------------------------------
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@dec.parametric
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def test_roundtrip_simple():
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for obj in [
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'hello',
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dict(a='b', b=10),
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[1,2,'hi'],
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(b'123', 'hello'),
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]:
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obj2 = roundtrip(obj)
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yield nt.assert_equals(obj, obj2)
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@dec.parametric
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def test_roundtrip_nested():
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for obj in [
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dict(a=range(5), b={1:b'hello'}),
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[range(5),[range(3),(1,[b'whoda'])]],
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]:
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obj2 = roundtrip(obj)
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yield nt.assert_equals(obj, obj2)
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@dec.parametric
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def test_roundtrip_buffered():
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for obj in [
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dict(a=b"x"*1025),
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b"hello"*500,
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[b"hello"*501, 1,2,3]
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]:
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bufs = serialize_object(obj)
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yield nt.assert_equals(len(bufs), 2)
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obj2, remainder = unserialize_object(bufs)
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yield nt.assert_equals(remainder, [])
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yield nt.assert_equals(obj, obj2)
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def _scrub_nan(A):
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"""scrub nans out of empty arrays
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since nan != nan
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"""
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import numpy
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if A.dtype.fields and A.shape:
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for field in A.dtype.fields.keys():
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try:
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A[field][numpy.isnan(A[field])] = 0
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except (TypeError, NotImplementedError):
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# e.g. str dtype
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pass
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@dec.parametric
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@dec.skip_without('numpy')
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def test_numpy():
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import numpy
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from numpy.testing.utils import assert_array_equal
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for shape in SHAPES:
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for dtype in DTYPES:
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A = numpy.empty(shape, dtype=dtype)
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_scrub_nan(A)
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bufs = serialize_object(A)
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B, r = unserialize_object(bufs)
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yield nt.assert_equals(r, [])
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yield nt.assert_equals(A.shape, B.shape)
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yield nt.assert_equals(A.dtype, B.dtype)
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yield assert_array_equal(A,B)
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@dec.parametric
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@dec.skip_without('numpy')
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def test_recarray():
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import numpy
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from numpy.testing.utils import assert_array_equal
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for shape in SHAPES:
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for dtype in [
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[('f', float), ('s', '|S10')],
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[('n', int), ('s', '|S1'), ('u', 'uint32')],
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]:
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A = numpy.empty(shape, dtype=dtype)
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_scrub_nan(A)
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bufs = serialize_object(A)
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B, r = unserialize_object(bufs)
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yield nt.assert_equals(r, [])
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yield nt.assert_equals(A.shape, B.shape)
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yield nt.assert_equals(A.dtype, B.dtype)
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yield assert_array_equal(A,B)
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@dec.parametric
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@dec.skip_without('numpy')
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def test_numpy_in_seq():
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import numpy
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from numpy.testing.utils import assert_array_equal
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for shape in SHAPES:
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for dtype in DTYPES:
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A = numpy.empty(shape, dtype=dtype)
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_scrub_nan(A)
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bufs = serialize_object((A,1,2,b'hello'))
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canned = pickle.loads(bufs[0])
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yield nt.assert_true(canned[0], CannedArray)
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tup, r = unserialize_object(bufs)
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B = tup[0]
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yield nt.assert_equals(r, [])
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yield nt.assert_equals(A.shape, B.shape)
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yield nt.assert_equals(A.dtype, B.dtype)
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yield assert_array_equal(A,B)
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@dec.parametric
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@dec.skip_without('numpy')
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def test_numpy_in_dict():
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import numpy
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from numpy.testing.utils import assert_array_equal
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for shape in SHAPES:
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for dtype in DTYPES:
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A = numpy.empty(shape, dtype=dtype)
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_scrub_nan(A)
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bufs = serialize_object(dict(a=A,b=1,c=range(20)))
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canned = pickle.loads(bufs[0])
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yield nt.assert_true(canned['a'], CannedArray)
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d, r = unserialize_object(bufs)
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B = d['a']
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yield nt.assert_equals(r, [])
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yield nt.assert_equals(A.shape, B.shape)
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yield nt.assert_equals(A.dtype, B.dtype)
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yield assert_array_equal(A,B)
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@dec.parametric
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def test_class():
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@interactive
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class C(object):
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a=5
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bufs = serialize_object(dict(C=C))
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canned = pickle.loads(bufs[0])
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yield nt.assert_true(canned['C'], CannedClass)
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d, r = unserialize_object(bufs)
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C2 = d['C']
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yield nt.assert_equal(C2.a, C.a)
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@dec.parametric
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def test_class_oldstyle():
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@interactive
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class C:
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a=5
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bufs = serialize_object(dict(C=C))
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canned = pickle.loads(bufs[0])
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yield nt.assert_true(canned['C'], CannedClass)
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d, r = unserialize_object(bufs)
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C2 = d['C']
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yield nt.assert_equal(C2.a, C.a)
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@dec.parametric
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def test_class_inheritance():
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@interactive
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class C(object):
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a=5
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@interactive
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class D(C):
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b=10
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bufs = serialize_object(dict(D=D))
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canned = pickle.loads(bufs[0])
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yield nt.assert_true(canned['D'], CannedClass)
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d, r = unserialize_object(bufs)
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D2 = d['D']
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yield nt.assert_equal(D2.a, D.a)
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yield nt.assert_equal(D2.b, D.b)
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