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//proc/self/root/usr/lib/python2.4/site-packages/simplejson/__init__.pyo
mς $Ic @ s d Z d Z d d d d d d g Z d Z d k l Z d k l Z e d e d e d e d e d d d d d d d d Z e e e e d d d d d d Z e e e e d d d d d d Z e d d d d Z d d d d d d d Z d d d d d d d Z d S( s JSON (JavaScript Object Notation) <http://json.org> is a subset of JavaScript syntax (ECMA-262 3rd edition) used as a lightweight data interchange format. :mod:`simplejson` exposes an API familiar to users of the standard library :mod:`marshal` and :mod:`pickle` modules. It is the externally maintained version of the :mod:`json` library contained in Python 2.6, but maintains compatibility with Python 2.4 and Python 2.5 and (currently) has significant performance advantages, even without using the optional C extension for speedups. Encoding basic Python object hierarchies:: >>> import simplejson as json >>> json.dumps(['foo', {'bar': ('baz', None, 1.0, 2)}]) '["foo", {"bar": ["baz", null, 1.0, 2]}]' >>> print json.dumps("\"foo\bar") "\"foo\bar" >>> print json.dumps(u'\u1234') "\u1234" >>> print json.dumps('\\') "\\" >>> print json.dumps({"c": 0, "b": 0, "a": 0}, sort_keys=True) {"a": 0, "b": 0, "c": 0} >>> from StringIO import StringIO >>> io = StringIO() >>> json.dump(['streaming API'], io) >>> io.getvalue() '["streaming API"]' Compact encoding:: >>> import simplejson as json >>> json.dumps([1,2,3,{'4': 5, '6': 7}], separators=(',',':')) '[1,2,3,{"4":5,"6":7}]' Pretty printing:: >>> import simplejson as json >>> s = json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4) >>> print '\n'.join([l.rstrip() for l in s.splitlines()]) { "4": 5, "6": 7 } Decoding JSON:: >>> import simplejson as json >>> obj = [u'foo', {u'bar': [u'baz', None, 1.0, 2]}] >>> json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]') == obj True >>> json.loads('"\\"foo\\bar"') == u'"foo\x08ar' True >>> from StringIO import StringIO >>> io = StringIO('["streaming API"]') >>> json.load(io)[0] == 'streaming API' True Specializing JSON object decoding:: >>> import simplejson as json >>> def as_complex(dct): ... if '__complex__' in dct: ... return complex(dct['real'], dct['imag']) ... return dct ... >>> json.loads('{"__complex__": true, "real": 1, "imag": 2}', ... object_hook=as_complex) (1+2j) >>> import decimal >>> json.loads('1.1', parse_float=decimal.Decimal) == decimal.Decimal('1.1') True Specializing JSON object encoding:: >>> import simplejson as json >>> def encode_complex(obj): ... if isinstance(obj, complex): ... return [obj.real, obj.imag] ... raise TypeError(repr(o) + " is not JSON serializable") ... >>> json.dumps(2 + 1j, default=encode_complex) '[2.0, 1.0]' >>> json.JSONEncoder(default=encode_complex).encode(2 + 1j) '[2.0, 1.0]' >>> ''.join(json.JSONEncoder(default=encode_complex).iterencode(2 + 1j)) '[2.0, 1.0]' Using simplejson.tool from the shell to validate and pretty-print:: $ echo '{"json":"obj"}' | python -m simplejson.tool { "json": "obj" } $ echo '{ 1.2:3.4}' | python -m simplejson.tool Expecting property name: line 1 column 2 (char 2) s 2.0.9t dumpt dumpst loadt loadst JSONDecodert JSONEncoders Bob Ippolito <bob@redivi.com>( s JSONDecoder( s JSONEncodert skipkeyst ensure_asciit check_circulart allow_nant indentt separatorst encodings utf-8t defaultc K sχ | oq | oj | oc | o\ | d j oO | d j oB | d j o5 | d j o( | d j o | o t i | } n] | d j o t } n | d | d | d | d | d | d | d | d | | i | } x | D] } | i | qά Wd S( s Serialize ``obj`` as a JSON formatted stream to ``fp`` (a ``.write()``-supporting file-like object). If ``skipkeys`` is true then ``dict`` keys that are not basic types (``str``, ``unicode``, ``int``, ``long``, ``float``, ``bool``, ``None``) will be skipped instead of raising a ``TypeError``. If ``ensure_ascii`` is false, then the some chunks written to ``fp`` may be ``unicode`` instances, subject to normal Python ``str`` to ``unicode`` coercion rules. Unless ``fp.write()`` explicitly understands ``unicode`` (as in ``codecs.getwriter()``) this is likely to cause an error. If ``check_circular`` is false, then the circular reference check for container types will be skipped and a circular reference will result in an ``OverflowError`` (or worse). If ``allow_nan`` is false, then it will be a ``ValueError`` to serialize out of range ``float`` values (``nan``, ``inf``, ``-inf``) in strict compliance of the JSON specification, instead of using the JavaScript equivalents (``NaN``, ``Infinity``, ``-Infinity``). 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 ``separators`` is an ``(item_separator, dict_separator)`` tuple then it will be used instead of the default ``(', ', ': ')`` separators. ``(',', ':')`` is the most compact JSON representation. ``encoding`` is the character encoding for str instances, default is UTF-8. ``default(obj)`` is a function that should return a serializable version of obj or raise TypeError. The default simply raises TypeError. To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the ``.default()`` method to serialize additional types), specify it with the ``cls`` kwarg. s utf-8R R R R R R R R N( R R R R t clst NoneR R R R t kwt _default_encodert iterencodet objt iterableR t chunkt fpt write( R R R R R R R R R R R R R R ( ( t7 /usr/lib/python2.4/site-packages/simplejson/__init__.pyR z s * f c K sΡ | oo | oh | oa | oZ | d j oM | d j o@ | d j o3 | d j o& | d j o | o t i | Sn | d j o t } n | d | d | d | d | d | d | d | d | | i | S( sχ Serialize ``obj`` to a JSON formatted ``str``. If ``skipkeys`` is false then ``dict`` keys that are not basic types (``str``, ``unicode``, ``int``, ``long``, ``float``, ``bool``, ``None``) will be skipped instead of raising a ``TypeError``. If ``ensure_ascii`` is false, then the return value will be a ``unicode`` instance subject to normal Python ``str`` to ``unicode`` coercion rules instead of being escaped to an ASCII ``str``. If ``check_circular`` is false, then the circular reference check for container types will be skipped and a circular reference will result in an ``OverflowError`` (or worse). If ``allow_nan`` is false, then it will be a ``ValueError`` to serialize out of range ``float`` values (``nan``, ``inf``, ``-inf``) in strict compliance of the JSON specification, instead of using the JavaScript equivalents (``NaN``, ``Infinity``, ``-Infinity``). 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 ``separators`` is an ``(item_separator, dict_separator)`` tuple then it will be used instead of the default ``(', ', ': ')`` separators. ``(',', ':')`` is the most compact JSON representation. ``encoding`` is the character encoding for str instances, default is UTF-8. ``default(obj)`` is a function that should return a serializable version of obj or raise TypeError. The default simply raises TypeError. To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the ``.default()`` method to serialize additional types), specify it with the ``cls`` kwarg. s utf-8R R R R R R R R N( R R R R R R R R R R R R t encodeR R ( R R R R R R R R R R R ( ( R R Έ s ( f t object_hookc K s7 t | i d | d | d | d | d | d | | S( sp Deserialize ``fp`` (a ``.read()``-supporting file-like object containing a JSON document) to a Python object. If the contents of ``fp`` is encoded with an ASCII based encoding other than utf-8 (e.g. latin-1), then an appropriate ``encoding`` name must be specified. Encodings that are not ASCII based (such as UCS-2) are not allowed, and should be wrapped with ``codecs.getreader(fp)(encoding)``, or simply decoded to a ``unicode`` object and passed to ``loads()`` ``object_hook`` is an optional function that will be called with the result of any object literal decode (a ``dict``). The return value of ``object_hook`` will be used instead of the ``dict``. This feature can be used to implement custom decoders (e.g. JSON-RPC class hinting). To use a custom ``JSONDecoder`` subclass, specify it with the ``cls`` kwarg. R R R t parse_floatt parse_intt parse_constantN( R R t readR R R R R R R ( R R R R R R R R ( ( R R σ s c K s | d j oZ | d j oM | d j o@ | d j o3 | d j o& | d j o | o t i | Sn | d j o t } n | d j o | | d <n | d j o | | d <n | d j o | | d <n | d j o | | d <n | d | | i | S( sί Deserialize ``s`` (a ``str`` or ``unicode`` instance containing a JSON document) to a Python object. If ``s`` is a ``str`` instance and is encoded with an ASCII based encoding other than utf-8 (e.g. latin-1) then an appropriate ``encoding`` name must be specified. Encodings that are not ASCII based (such as UCS-2) are not allowed and should be decoded to ``unicode`` first. ``object_hook`` is an optional function that will be called with the result of any object literal decode (a ``dict``). The return value of ``object_hook`` will be used instead of the ``dict``. This feature can be used to implement custom decoders (e.g. JSON-RPC class hinting). ``parse_float``, if specified, will be called with the string of every JSON float to be decoded. By default this is equivalent to float(num_str). This can be used to use another datatype or parser for JSON floats (e.g. decimal.Decimal). ``parse_int``, if specified, will be called with the string of every JSON int to be decoded. By default this is equivalent to int(num_str). This can be used to use another datatype or parser for JSON integers (e.g. float). ``parse_constant``, if specified, will be called with one of the following strings: -Infinity, Infinity, NaN, null, true, false. This can be used to raise an exception if invalid JSON numbers are encountered. To use a custom ``JSONDecoder`` subclass, specify it with the ``cls`` kwarg. R R R R R N( R R R R R R R R t _default_decodert decodet sR ( R! R R R R R R R ( ( R R s ! V N( t __doc__t __version__t __all__t __author__t decoderR t encoderR t Falset TrueR R R R R R R ( R R R R R$ R R R% R R R# ( ( R t ?c s$ $>$8