##// END OF EJS Templates
Make 'Paste Above' the default paste behavior....
Make 'Paste Above' the default paste behavior. Destructive paste mapped to Ctrl-M V is a surprising choice given that there was no drag-to-select on the area being replaced (there is a weaker notion of "selected cell" but this does not map to will-be-replaced- by-paste in the minds of participants in an unscientific poll at PyConCA). Destructive paste is still available as the last paste option in the Edit menu, qualified as "Paste Cell Replace".

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test_jsonutil.py
104 lines | 3.4 KiB | text/x-python | PythonLexer
"""Test suite for our JSON utilities.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2010-2011 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
from base64 import decodestring
# third party
import nose.tools as nt
# our own
from IPython.testing import decorators as dec
from ..jsonutil import json_clean, encode_images
from ..py3compat import unicode_to_str, str_to_bytes
#-----------------------------------------------------------------------------
# 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))
@dec.parametric
def test_encode_images():
# invalid data, but the header and footer are from real files
pngdata = b'\x89PNG\r\n\x1a\nblahblahnotactuallyvalidIEND\xaeB`\x82'
jpegdata = b'\xff\xd8\xff\xe0\x00\x10JFIFblahblahjpeg(\xa0\x0f\xff\xd9'
fmt = {
'image/png' : pngdata,
'image/jpeg' : jpegdata,
}
encoded = encode_images(fmt)
for key, value in fmt.iteritems():
# encoded has unicode, want bytes
decoded = decodestring(encoded[key].encode('ascii'))
yield nt.assert_equal(decoded, value)
encoded2 = encode_images(encoded)
yield nt.assert_equal(encoded, encoded2)
b64_str = {}
for key, encoded in encoded.iteritems():
b64_str[key] = unicode_to_str(encoded)
encoded3 = encode_images(b64_str)
yield nt.assert_equal(encoded3, b64_str)
for key, value in fmt.iteritems():
# encoded3 has str, want bytes
decoded = decodestring(str_to_bytes(encoded3[key]))
yield nt.assert_equal(decoded, value)
def test_lambda():
jc = json_clean(lambda : 1)
assert isinstance(jc, str)
assert '<lambda>' in jc
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)