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Z d Z d Z d Z RS( sZ Extensible JSON <http://json.org> encoder for Python data structures.
Supports the following objects and types by default:
+-------------------+---------------+
| Python | JSON |
+===================+===============+
| dict | object |
+-------------------+---------------+
| list, tuple | array |
+-------------------+---------------+
| str, unicode | string |
+-------------------+---------------+
| int, long, float | number |
+-------------------+---------------+
| True | true |
+-------------------+---------------+
| False | false |
+-------------------+---------------+
| None | null |
+-------------------+---------------+
To extend this to recognize other objects, subclass and implement a
``.default()`` method with another method that returns a serializable
object for ``o`` if possible, otherwise it should call the superclass
implementation (to raise ``TypeError``).
t __init__t defaultt encodet
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C s | | _ | | _ | | _ | | _ | | _ | | _ d | _ | d j o | \ | _ | _ n | d j o
| | _
n | | _ d S( s0 Constructor for JSONEncoder, with sensible defaults.
If skipkeys is False, then it is a TypeError to attempt
encoding of keys that are not str, int, long, float or None. If
skipkeys is True, such items are simply skipped.
If ensure_ascii is True, the output is guaranteed to be str
objects with all incoming unicode characters escaped. If
ensure_ascii is false, the output will be unicode object.
If check_circular is True, then lists, dicts, and custom encoded
objects will be checked for circular references during encoding to
prevent an infinite recursion (which would cause an OverflowError).
Otherwise, no such check takes place.
If allow_nan is True, then NaN, Infinity, and -Infinity will be
encoded as such. This behavior is not JSON specification compliant,
but is consistent with most JavaScript based encoders and decoders.
Otherwise, it will be a ValueError to encode such floats.
If sort_keys is True, then the output of dictionaries will be
sorted by key; this is useful for regression tests to ensure
that JSON serializations can be compared on a day-to-day basis.
If indent is a non-negative integer, then JSON array
elements and object members will be pretty-printed with that
indent level. An indent level of 0 will only insert newlines.
None is the most compact representation.
If specified, separators should be a (item_separator, key_separator)
tuple. The default is (', ', ': '). To get the most compact JSON
representation you should specify (',', ':') to eliminate whitespace.
If specified, default is a function that gets called for objects
that can't otherwise be serialized. It should return a JSON encodable
version of the object or raise a ``TypeError``.
If encoding is not None, then all input strings will be
transformed into unicode using that encoding prior to JSON-encoding.
The default is UTF-8.
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o t | | i Vn t | t t f o& x | i | | D] } | Vq5Wn t | t o& x | i | | D] } | VqkWn | d j o7 t | } | | j o t d n | | | <n x | i | | D] } | VqW| d j o | | =n d S( Ns utf-8RJ RH RI s Circular reference detected( R RO R, R R R3 R# R R$ R; R< RQ RR RP R R
t listt tupleRF t dictR\ R: R t _iterencode_default( R4 R R? RU RY RE R@ ( ( s" /usr/lib/python2.6/json/encoder.pyR= sJ
c C s | i | } | i | | S( N( R( R= ( R4 R R? t newobj( ( s" /usr/lib/python2.6/json/encoder.pyR` B s c C s t t | d d S( s$ Implement this method in a subclass such that it returns a serializable
object for ``o``, or calls the base implementation (to raise a
``TypeError``).
For example, to support arbitrary iterators, you could implement
default like this::
def default(self, o):
try:
iterable = iter(o)
except TypeError:
pass
else:
return list(iterable)
return JSONEncoder.default(self, o)
s is not JSON serializableN( RS R
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| } d i | S( s Return a JSON string representation of a Python data structure.
>>> JSONEncoder().encode({"foo": ["bar", "baz"]})
'{"foo": ["bar", "baz"]}'
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h } n d } | i | | S( s Encode the given object and yield each string representation as
available.
For example::
for chunk in JSONEncoder().iterencode(bigobject):
mysocket.write(chunk)
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