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Hide private names by default in tab completion....
Hide private names by default in tab completion. This is the most reasonable behavior for new users, and it's important to have a good default until we can make the qt console fully configurable.

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test_newserialized.py
102 lines | 3.4 KiB | text/x-python | PythonLexer
# encoding: utf-8
"""This file contains unittests for the shell.py module."""
__docformat__ = "restructuredtext en"
#-----------------------------------------------------------------------------
# Copyright (C) 2008 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
#-----------------------------------------------------------------------------
# Tell nose to skip this module
__test__ = {}
import zope.interface as zi
from twisted.trial import unittest
from IPython.testing.util import DeferredTestCase
from IPython.kernel.newserialized import \
ISerialized, \
IUnSerialized, \
Serialized, \
UnSerialized, \
SerializeIt, \
UnSerializeIt
#-----------------------------------------------------------------------------
# Tests
#-----------------------------------------------------------------------------
class SerializedTestCase(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def testSerializedInterfaces(self):
us = UnSerialized({'a':10, 'b':range(10)})
s = ISerialized(us)
uss = IUnSerialized(s)
self.assert_(ISerialized.providedBy(s))
self.assert_(IUnSerialized.providedBy(us))
self.assert_(IUnSerialized.providedBy(uss))
for m in list(ISerialized):
self.assert_(hasattr(s, m))
for m in list(IUnSerialized):
self.assert_(hasattr(us, m))
for m in list(IUnSerialized):
self.assert_(hasattr(uss, m))
def testPickleSerialized(self):
obj = {'a':1.45345, 'b':'asdfsdf', 'c':10000L}
original = UnSerialized(obj)
originalSer = ISerialized(original)
firstData = originalSer.getData()
firstTD = originalSer.getTypeDescriptor()
firstMD = originalSer.getMetadata()
self.assert_(firstTD == 'pickle')
self.assert_(firstMD == {})
unSerialized = IUnSerialized(originalSer)
secondObj = unSerialized.getObject()
for k, v in secondObj.iteritems():
self.assert_(obj[k] == v)
secondSer = ISerialized(UnSerialized(secondObj))
self.assert_(firstData == secondSer.getData())
self.assert_(firstTD == secondSer.getTypeDescriptor() )
self.assert_(firstMD == secondSer.getMetadata())
def testNDArraySerialized(self):
try:
import numpy
except ImportError:
pass
else:
a = numpy.linspace(0.0, 1.0, 1000)
unSer1 = UnSerialized(a)
ser1 = ISerialized(unSer1)
td = ser1.getTypeDescriptor()
self.assert_(td == 'ndarray')
md = ser1.getMetadata()
self.assert_(md['shape'] == a.shape)
self.assert_(md['dtype'] == a.dtype.str)
buff = ser1.getData()
self.assert_(buff == numpy.getbuffer(a))
s = Serialized(buff, td, md)
us = IUnSerialized(s)
final = us.getObject()
self.assert_(numpy.getbuffer(a) == numpy.getbuffer(final))
self.assert_(a.dtype.str == final.dtype.str)
self.assert_(a.shape == final.shape)