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Merge pull request #937 from minrk/readline...
Merge pull request #937 from minrk/readline Add dirty trick for readline import on OSX to more aggressively detect the presence of libedit masquerading as true GNU readline. Also made the libedit warning extremely loud, so people don't miss it. See the original PR page for the gory details; short version: 1. remove lib-dynload from sys.path before trying to import readline the first time 2. after import, restore lib-dynload to its place in sys.path 3. if import failed without lib-dynload, try it one more time, to get the default module

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test_jsonutil.py
71 lines | 2.2 KiB | text/x-python | PythonLexer
"""Test suite for our JSON utilities.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2010 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING.txt, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
# stdlib
import json
# third party
import nose.tools as nt
# our own
from ..jsonutil import json_clean
#-----------------------------------------------------------------------------
# Test functions
#-----------------------------------------------------------------------------
def test():
# list of input/expected output. Use None for the expected output if it
# can be the same as the input.
pairs = [(1, None), # start with scalars
(1.0, None),
('a', None),
(True, None),
(False, None),
(None, None),
# complex numbers for now just go to strings, as otherwise they
# are unserializable
(1j, '1j'),
# Containers
([1, 2], None),
((1, 2), [1, 2]),
(set([1, 2]), [1, 2]),
(dict(x=1), None),
({'x': 1, 'y':[1,2,3], '1':'int'}, None),
# More exotic objects
((x for x in range(3)), [0, 1, 2]),
(iter([1, 2]), [1, 2]),
]
for val, jval in pairs:
if jval is None:
jval = val
out = json_clean(val)
# validate our cleanup
nt.assert_equal(out, jval)
# and ensure that what we return, indeed encodes cleanly
json.loads(json.dumps(out))
def test_lambda():
jc = json_clean(lambda : 1)
nt.assert_true(jc.startswith('<function <lambda> at '))
json.dumps(jc)
def test_exception():
bad_dicts = [{1:'number', '1':'string'},
{True:'bool', 'True':'string'},
]
for d in bad_dicts:
nt.assert_raises(ValueError, json_clean, d)