##// END OF EJS Templates
Move the pygments definition importing logic from the...
Move the pygments definition importing logic from the sphinx preprocessor to the latex one. Now all latex templates will use pygments.

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test_jsonutil.py
131 lines | 4.4 KiB | text/x-python | PythonLexer
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r2947 """Test suite for our JSON utilities.
"""
#-----------------------------------------------------------------------------
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r5390 # Copyright (C) 2010-2011 The IPython Development Team
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r2947 #
# 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
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r11151 import datetime
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r2947 import json
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r7737 from base64 import decodestring
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# third party
import nose.tools as nt
# our own
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r11151 from IPython.utils import jsonutil, tz
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r7737 from ..jsonutil import json_clean, encode_images
from ..py3compat import unicode_to_str, str_to_bytes
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#-----------------------------------------------------------------------------
# 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))
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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'))
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r12374 nt.assert_equal(decoded, value)
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r7737 encoded2 = encode_images(encoded)
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r12374 nt.assert_equal(encoded, encoded2)
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r7737
b64_str = {}
for key, encoded in encoded.iteritems():
b64_str[key] = unicode_to_str(encoded)
encoded3 = encode_images(b64_str)
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r12374 nt.assert_equal(encoded3, b64_str)
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r7737 for key, value in fmt.iteritems():
# encoded3 has str, want bytes
decoded = decodestring(str_to_bytes(encoded3[key]))
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r12374 nt.assert_equal(decoded, value)
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r7737
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r2947 def test_lambda():
jc = json_clean(lambda : 1)
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r7013 assert isinstance(jc, str)
assert '<lambda>' in jc
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r2947 json.dumps(jc)
MinRK
test jsonutil handling of dates
r11151 def test_extract_dates():
timestamps = [
'2013-07-03T16:34:52.249482',
'2013-07-03T16:34:52.249482Z',
'2013-07-03T16:34:52.249482Z-0800',
'2013-07-03T16:34:52.249482Z+0800',
'2013-07-03T16:34:52.249482Z+08:00',
'2013-07-03T16:34:52.249482Z-08:00',
'2013-07-03T16:34:52.249482-0800',
'2013-07-03T16:34:52.249482+0800',
'2013-07-03T16:34:52.249482+08:00',
'2013-07-03T16:34:52.249482-08:00',
]
extracted = jsonutil.extract_dates(timestamps)
ref = extracted[0]
for dt in extracted:
nt.assert_true(isinstance(dt, datetime.datetime))
nt.assert_equal(dt, ref)
def test_date_default():
data = dict(today=datetime.datetime.now(), utcnow=tz.utcnow())
jsondata = json.dumps(data, default=jsonutil.date_default)
nt.assert_in("+00", jsondata)
nt.assert_equal(jsondata.count("+00"), 1)
extracted = jsonutil.extract_dates(json.loads(jsondata))
for dt in extracted.values():
nt.assert_true(isinstance(dt, datetime.datetime))
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r2947
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)