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"""Test suite for our JSON utilities.
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"""
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#-----------------------------------------------------------------------------
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# Copyright (C) 2010-2011 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.txt, 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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# stdlib
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import json
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# third party
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import nose.tools as nt
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# our own
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from ..jsonutil import json_clean
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#-----------------------------------------------------------------------------
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# Test functions
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#-----------------------------------------------------------------------------
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def test():
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# list of input/expected output. Use None for the expected output if it
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# can be the same as the input.
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pairs = [(1, None), # start with scalars
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(1.0, None),
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('a', None),
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(True, None),
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(False, None),
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(None, None),
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# complex numbers for now just go to strings, as otherwise they
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# are unserializable
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(1j, '1j'),
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# Containers
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([1, 2], None),
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((1, 2), [1, 2]),
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(set([1, 2]), [1, 2]),
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(dict(x=1), None),
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({'x': 1, 'y':[1,2,3], '1':'int'}, None),
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# More exotic objects
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((x for x in range(3)), [0, 1, 2]),
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(iter([1, 2]), [1, 2]),
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]
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for val, jval in pairs:
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if jval is None:
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jval = val
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out = json_clean(val)
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# validate our cleanup
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nt.assert_equal(out, jval)
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# and ensure that what we return, indeed encodes cleanly
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json.loads(json.dumps(out))
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def test_lambda():
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jc = json_clean(lambda : 1)
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assert isinstance(jc, str)
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assert '<lambda>' in jc
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json.dumps(jc)
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def test_exception():
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bad_dicts = [{1:'number', '1':'string'},
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{True:'bool', 'True':'string'},
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]
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for d in bad_dicts:
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nt.assert_raises(ValueError, json_clean, d)
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