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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 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 json >>> json.dumps([1,2,3,{'4': 5, '6': 7}], sort_keys=True, separators=(',',':')) '[1,2,3,{"4":5,"6":7}]' Pretty printing:: >>> import json >>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, ... indent=4, separators=(',', ': ')) { "4": 5, "6": 7 } Decoding JSON:: >>> import 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 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) >>> from decimal import Decimal >>> json.loads('1.1', parse_float=Decimal) == Decimal('1.1') True Specializing JSON object encoding:: >>> import 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 json.tool from the shell to validate and pretty-print:: $ echo '{"json":"obj"}' | python -m json.tool { "json": "obj" } $ echo '{ 1.2:3.4}' | python -m json.tool Expecting property name enclosed in double quotes: line 1 column 3 (char 2) """ __version__ = '2.0.9' __all__ = [ 'dump', 'dumps', 'load', 'loads', 'JSONDecoder', 'JSONEncoder', ] __author__ = 'Bob Ippolito ' from .decoder import JSONDecoder from .encoder import JSONEncoder _default_encoder = JSONEncoder( skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, indent=None, separators=None, encoding='utf-8', default=None, ) def dump(obj, fp, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, encoding='utf-8', default=None, sort_keys=False, **kw): """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 true (the default), all non-ASCII characters in the output are escaped with ``\uXXXX`` sequences, and the result is a ``str`` instance consisting of ASCII characters only. If ``ensure_ascii`` is ``False``, some chunks written to ``fp`` may be ``unicode`` instances. This usually happens because the input contains unicode strings or the ``encoding`` parameter is used. 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. Since the default item separator is ``', '``, the output might include trailing whitespace when ``indent`` is specified. You can use ``separators=(',', ': ')`` to avoid this. 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. If *sort_keys* is ``True`` (default: ``False``), then the output of dictionaries will be sorted by key. To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the ``.default()`` method to serialize additional types), specify it with the ``cls`` kwarg; otherwise ``JSONEncoder`` is used. """ # cached encoder if (not skipkeys and ensure_ascii and check_circular and allow_nan and cls is None and indent is None and separators is None and encoding == 'utf-8' and default is None and not sort_keys and not kw): iterable = _default_encoder.iterencode(obj) else: if cls is None: cls = JSONEncoder iterable = cls(skipkeys=skipkeys, ensure_ascii=ensure_ascii, check_circular=check_circular, allow_nan=allow_nan, indent=indent, separators=separators, encoding=encoding, default=default, sort_keys=sort_keys, **kw).iterencode(obj) # could accelerate with writelines in some versions of Python, at # a debuggability cost for chunk in iterable: fp.write(chunk) def dumps(obj, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, encoding='utf-8', default=None, sort_keys=False, **kw): """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, all non-ASCII characters are not escaped, and the return value may be a ``unicode`` instance. See ``dump`` for details. 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. Since the default item separator is ``', '``, the output might include trailing whitespace when ``indent`` is specified. You can use ``separators=(',', ': ')`` to avoid this. 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. If *sort_keys* is ``True`` (default: ``False``), then the output of dictionaries will be sorted by key. To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the ``.default()`` method to serialize additional types), specify it with the ``cls`` kwarg; otherwise ``JSONEncoder`` is used. """ # cached encoder if (not skipkeys and ensure_ascii and check_circular and allow_nan and cls is None and indent is None and separators is None and encoding == 'utf-8' and default is None and not sort_keys and not kw): return _default_encoder.encode(obj) if cls is None: cls = JSONEncoder return cls( skipkeys=skipkeys, ensure_ascii=ensure_ascii, check_circular=check_circular, allow_nan=allow_nan, indent=indent, separators=separators, encoding=encoding, default=default, sort_keys=sort_keys, **kw).encode(obj) _default_decoder = JSONDecoder(encoding=None, object_hook=None, object_pairs_hook=None) def load(fp, encoding=None, cls=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, object_pairs_hook=None, **kw): """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). ``object_pairs_hook`` is an optional function that will be called with the result of any object literal decoded with an ordered list of pairs. The return value of ``object_pairs_hook`` will be used instead of the ``dict``. This feature can be used to implement custom decoders that rely on the order that the key and value pairs are decoded (for example, collections.OrderedDict will remember the order of insertion). If ``object_hook`` is also defined, the ``object_pairs_hook`` takes priority. To use a custom ``JSONDecoder`` subclass, specify it with the ``cls`` kwarg; otherwise ``JSONDecoder`` is used. """ return loads(fp.read(), encoding=encoding, cls=cls, object_hook=object_hook, parse_float=parse_float, parse_int=parse_int, parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw) def loads(s, encoding=None, cls=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, object_pairs_hook=None, **kw): """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). ``object_pairs_hook`` is an optional function that will be called with the result of any object literal decoded with an ordered list of pairs. The return value of ``object_pairs_hook`` will be used instead of the ``dict``. This feature can be used to implement custom decoders that rely on the order that the key and value pairs are decoded (for example, collections.OrderedDict will remember the order of insertion). If ``object_hook`` is also defined, the ``object_pairs_hook`` takes priority. ``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; otherwise ``JSONDecoder`` is used. """ if (cls is None and encoding is None and object_hook is None and parse_int is None and parse_float is None and parse_constant is None and object_pairs_hook is None and not kw): return _default_decoder.decode(s) if cls is None: cls = JSONDecoder if object_hook is not None: kw['object_hook'] = object_hook if object_pairs_hook is not None: kw['object_pairs_hook'] = object_pairs_hook if parse_float is not None: kw['parse_float'] = parse_float if parse_int is not None: kw['parse_int'] = parse_int if parse_constant is not None: kw['parse_constant'] = parse_constant return cls(encoding=encoding, **kw).decode(s) PK!q tool.pycnu[ ofc@sAdZddlZddlZdZedkr=endS(sCommand-line tool to validate and pretty-print JSON Usage:: $ echo '{"json":"obj"}' | python -m json.tool { "json": "obj" } $ echo '{ 1.2:3.4}' | python -m json.tool Expecting property name enclosed in double quotes: line 1 column 3 (char 2) iNcCs>ttjdkr*tj}tj}nttjdkrattjdd}tj}n[ttjdkrttjdd}ttjdd}nttjdd|:ytj|}Wnt k r}t|nXWdQX|4tj ||dt d d d d|j dWdQXdS(Niitrbitwbis [infile [outfile]]t sort_keystindentit separatorst,s: s (Rs: ( tlentsystargvtstdintstdouttopent SystemExittjsontloadt ValueErrortdumptTruetwrite(tinfiletoutfiletobjte((s!/usr/lib64/python2.7/json/tool.pytmains&    t__main__(t__doc__RR Rt__name__(((s!/usr/lib64/python2.7/json/tool.pyt s     PK!8>/>/ decoder.pyonu[ ofc@sdZddlZddlZddlZddlmZyddlmZWne k rgdZnXdgZ ej ej BejBZdZe\ZZZdZddZied 6ed 6ed 6Zejd eZid d6dd6dd6dd6dd6dd6dd6dd6ZdZdZdeeejdZepSeZejd eZd!Z eje d"Z!eje d#Z"de#fd$YZ$dS(%sImplementation of JSONDecoder iN(tscanner(t scanstringt JSONDecodercCssdjd}tjdkrM|d ddd|dddd}ntjd|\}}||| fS(Nt 7FF80000000000007FF0000000000000thextbigiitdd(tdecodetsyst byteordertstructtunpack(t_BYTEStnantinf((s$/usr/lib64/python2.7/json/decoder.pyt_floatconstantss /cCsU|jdd|d}|dkr2|d}n||jdd|}||fS(Ns ii(tcounttrindex(tdoctpostlinenotcolno((s$/usr/lib64/python2.7/json/decoder.pytlinecols   c Cswt||\}}|dkr=d}|j||||St||\}}d}|j|||||||S(Ns#{0}: line {1} column {2} (char {3})s?{0}: line {1} column {2} - line {3} column {4} (char {5} - {6})(RtNonetformat( tmsgRRtendRRtfmtt endlinenotendcolno((s$/usr/lib64/python2.7/json/decoder.pyterrmsg$s s -InfinitytInfinitytNaNs(.*?)(["\\\x00-\x1f])u"t"u\s\u/t/utbu tfu tnu tru ttsutf-8cCs||d|d!}t|dkr_|ddkr_yt|dSWq_tk r[q_Xnd}tt|||dS(NiiitxXisInvalid \uXXXX escape(tlentintt ValueErrorR(tsRtescR((s$/usr/lib64/python2.7/json/decoder.pyt _decode_uXXXXAs" cCs|dkrt}ng}|j}|d}xN|||} | dkrgttd||n| j}| j\} } | rt| tst| |} n|| n| dkrPnL| dkr|rdj | } tt| ||q|| q1ny||} Wn)t k rNttd||nX| dkry|| }Wn9t k rdt | } tt| ||nX|d7}nt ||}|d7}tjd krfd |kod knrf|||d !d krft ||d}d|ko7dknrfd|d d>|dB}|d7}qfnt|}||q1dj||fS(sScan the string s for a JSON string. End is the index of the character in s after the quote that started the JSON string. Unescapes all valid JSON string escape sequences and raises ValueError on attempt to decode an invalid string. If strict is False then literal control characters are allowed in the string. Returns a tuple of the decoded string and the index of the character in s after the end quote.isUnterminated string starting atR!s\s"Invalid control character {0!r} attusInvalid \escape: iiiiis\uiiii iuN(RtDEFAULT_ENCODINGtappendR+RRtgroupst isinstancetunicodeRt IndexErrortKeyErrortreprR.Rt maxunicodetunichrtjoin(R,Rtencodingtstrictt_bt_mtchunkst_appendtbegintchunktcontentt terminatorRR-tchartunituni2((s$/usr/lib64/python2.7/json/decoder.pyt py_scanstringKs^               3  s [ \t\n\r]*s cCs|\}} g} | j} || | d!} | dkr| |krm||| j} || | d!} n| dkr|dk r|| } | | dfSi} |dk r|| } n| | dfS| dkrttd|| qn| d7} xtrt|| ||\}} || | d!dkr||| j} || | d!dkrttd|| qn| d7} yM|| |kr| d7} || |kr||| dj} qnWntk rnXy||| \}} Wn)tk r6ttd|| nX| ||fy@|| } | |kr||| dj} || } nWntk rd} nX| d7} | dkrPn+| d krttd || dnyc|| } | |krH| d7} || } | |krH||| dj} || } qHnWntk rbd} nX| d7} | dkrttd|| dqqW|dk r|| } | | fSt | } |dk r|| } n| | fS( NiR!t}s1Expecting property name enclosed in double quotest:sExpecting ':' delimitersExpecting objecttt,sExpecting ',' delimiter( R1RRR+RtTrueRR5t StopIterationtdict(t s_and_endR;R<t scan_oncet object_hooktobject_pairs_hookt_wt_wsR,Rtpairst pairs_appendtnextchartresulttkeytvalue((s$/usr/lib64/python2.7/json/decoder.pyt JSONObjects             #                       c Cs|\}}g}|||d!}||kr\|||dj}|||d!}n|dkrv||dfS|j}xEtry|||\} }Wn)tk rttd||nX|| |||d!}||kr!|||dj}|||d!}n|d7}|dkr;Pn'|dkrbttd||nyM|||kr|d7}|||kr|||dj}qnWqtk rqXqW||fS(Nit]sExpecting objectRLsExpecting ',' delimiter(RR1RMRNR+RR5( RPRQRTRUR,RtvaluesRXR@R[((s$/usr/lib64/python2.7/json/decoder.pyt JSONArrays@            # cBsGeZdZdddddeddZejdZddZ RS(sSimple JSON decoder Performs the following translations in decoding by default: +---------------+-------------------+ | JSON | Python | +===============+===================+ | object | dict | +---------------+-------------------+ | array | list | +---------------+-------------------+ | string | unicode | +---------------+-------------------+ | number (int) | int, long | +---------------+-------------------+ | number (real) | float | +---------------+-------------------+ | true | True | +---------------+-------------------+ | false | False | +---------------+-------------------+ | null | None | +---------------+-------------------+ It also understands ``NaN``, ``Infinity``, and ``-Infinity`` as their corresponding ``float`` values, which is outside the JSON spec. cCs||_||_||_|p$t|_|p3t|_|pEtj|_ ||_ t |_ t |_t|_tj||_dS(s``encoding`` determines the encoding used to interpret any ``str`` objects decoded by this instance (utf-8 by default). It has no effect when decoding ``unicode`` objects. Note that currently only encodings that are a superset of ASCII work, strings of other encodings should be passed in as ``unicode``. ``object_hook``, if specified, will be called with the result of every JSON object decoded and its return value will be used in place of the given ``dict``. This can be used to provide custom deserializations (e.g. to support JSON-RPC class hinting). ``object_pairs_hook``, if specified will be called with the result of every JSON object decoded with an ordered list of pairs. The return value of ``object_pairs_hook`` will be used instead of the ``dict``. This feature can be used to implement custom decoders that rely on the order that the key and value pairs are decoded (for example, collections.OrderedDict will remember the order of insertion). If ``object_hook`` is also defined, the ``object_pairs_hook`` takes priority. ``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. This can be used to raise an exception if invalid JSON numbers are encountered. If ``strict`` is false (true is the default), then control characters will be allowed inside strings. Control characters in this context are those with character codes in the 0-31 range, including ``'\t'`` (tab), ``'\n'``, ``'\r'`` and ``'\0'``. N(R;RRRStfloatt parse_floatR*t parse_intt _CONSTANTSt __getitem__tparse_constantR<R\t parse_objectR_t parse_arrayRt parse_stringRt make_scannerRQ(tselfR;RRRaRbReR<RS((s$/usr/lib64/python2.7/json/decoder.pyt__init__0s-       cCsy|j|d||dj\}}|||j}|t|kruttd||t|n|S(szReturn the Python representation of ``s`` (a ``str`` or ``unicode`` instance containing a JSON document) tidxis Extra data(t raw_decodeRR)R+R(RjR,RTtobjR((s$/usr/lib64/python2.7/json/decoder.pyRis *$icCsFy|j||\}}Wntk r;tdnX||fS(sLDecode a JSON document from ``s`` (a ``str`` or ``unicode`` beginning with a JSON document) and return a 2-tuple of the Python representation and the index in ``s`` where the document ended. This can be used to decode a JSON document from a string that may have extraneous data at the end. sNo JSON object could be decoded(RQRNR+(RjR,RlRnR((s$/usr/lib64/python2.7/json/decoder.pyRmts  N( t__name__t __module__t__doc__RRMRkt WHITESPACEtmatchRRm(((s$/usr/lib64/python2.7/json/decoder.pyRs    7 (%RqtreRR tjsonRt_jsonRt c_scanstringt ImportErrorRt__all__tVERBOSEt MULTILINEtDOTALLtFLAGSRR tPosInftNegInfRRRctcompilet STRINGCHUNKt BACKSLASHR0R.RMRsRHRrtWHITESPACE_STRR\R_tobjectR(((s$/usr/lib64/python2.7/json/decoder.pyts@         & E W$PK!y55 encoder.pyonu[ ofc @s|dZddlZyddlmZWnek r?dZnXyddlmZWnek rmdZnXej dZ ej dZ ej dZ idd 6d d 6d d 6dd6dd6dd6dd6Z x3edD]%Ze jeedjeqWedZeZdZdZep5eZdefdYZeeeeeee e!e"e#e$d Z%dS(sImplementation of JSONEncoder iN(tencode_basestring_ascii(t make_encoders[\x00-\x1f\\"\b\f\n\r\t]s([\\"]|[^\ -~])s [\x80-\xff]s\\s\s\"t"s\bss\fs s\ns s\rs s\ts i s \u{0:04x}tinfcCs!d}dtj||dS(s5Return a JSON representation of a Python string cSst|jdS(Ni(t ESCAPE_DCTtgroup(tmatch((s$/usr/lib64/python2.7/json/encoder.pytreplace%sR(tESCAPEtsub(tsR((s$/usr/lib64/python2.7/json/encoder.pytencode_basestring!s cCs]t|tr6tj|dk r6|jd}nd}dttj||dS(sAReturn an ASCII-only JSON representation of a Python string sutf-8cSs|jd}y t|SWnptk rt|}|dkrPdj|S|d8}d|d?d@B}d|d@B}dj||SnXdS( Niis \u{0:04x}ii iis\u{0:04x}\u{1:04x}(RRtKeyErrortordtformat(RR tnts1ts2((s$/usr/lib64/python2.7/json/encoder.pyR0s      RN(t isinstancetstrtHAS_UTF8tsearchtNonetdecodet ESCAPE_ASCIIR (R R((s$/usr/lib64/python2.7/json/encoder.pytpy_encode_basestring_ascii*s$ t JSONEncoderc Bs\eZdZdZdZeeeeeddddd ZdZ dZ edZ RS( sZExtensible JSON 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``). s, s: sutf-8c Cs|||_||_||_||_||_||_|dk rW|\|_|_n| dk ro| |_ n||_ dS(s 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 default), all non-ASCII characters in the output are escaped with \uXXXX sequences, and the results are str instances consisting of ASCII characters only. If ensure_ascii is False, a result may be a unicode instance. This usually happens if the input contains unicode strings or the *encoding* parameter is used. 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. Since the default item separator is ', ', the output might include trailing whitespace when indent is specified. You can use separators=(',', ': ') to avoid this. 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. N( tskipkeyst ensure_asciitcheck_circulart allow_nant sort_keystindentRtitem_separatort key_separatortdefaulttencoding( tselfRRRRRR t separatorsR$R#((s$/usr/lib64/python2.7/json/encoder.pyt__init__es4         cCstt|ddS(slImplement 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) # Let the base class default method raise the TypeError return JSONEncoder.default(self, o) s is not JSON serializableN(t TypeErrortrepr(R%to((s$/usr/lib64/python2.7/json/encoder.pyR#scCst|trut|trU|j}|dk rU|dk rU|j|}qUn|jrht|St|Sn|j |dt }t|t t fst |}ndj |S(sReturn a JSON string representation of a Python data structure. >>> JSONEncoder().encode({"foo": ["bar", "baz"]}) '{"foo": ["bar", "baz"]}' sutf-8t _one_shottN(Rt basestringRR$RRRRR t iterencodetTruetlistttupletjoin(R%R*t _encodingtchunks((s$/usr/lib64/python2.7/json/encoder.pytencodes      cCs|jri}nd}|jr*t}nt}|jdkrT||jd}n|jttt d}|rt dk r|j dkr|j rt ||j ||j |j |j|j |j|j }n9t||j ||j ||j |j|j |j| }||dS(sEncode the given object and yield each string representation as available. For example:: for chunk in JSONEncoder().iterencode(bigobject): mysocket.write(chunk) sutf-8cSs+t|tr!|j|}n||S(N(RRR(R*t _orig_encoderR3((s$/usr/lib64/python2.7/json/encoder.pyt_encoderscSsl||krd}n4||kr*d}n||kr?d}n ||S|shtdt|n|S(NtNaNtInfinitys -Infinitys2Out of range float values are not JSON compliant: (t ValueErrorR)(R*Rt_reprt_inft_neginfttext((s$/usr/lib64/python2.7/json/encoder.pytfloatstrs       iN(RRRRR R$Rt FLOAT_REPRtINFINITYtc_make_encoderR RR#R"R!Rt_make_iterencode(R%R*R+tmarkersR7R?t _iterencode((s$/usr/lib64/python2.7/json/encoder.pyR.s*    N( t__name__t __module__t__doc__R!R"tFalseR/RR'R#R5R.(((s$/usr/lib64/python2.7/json/encoder.pyRFs >  cs fd fd fdS(Nc 3s8|sdVdSdk rO |}|krBdn||}|rt}n|} |r||Vq|dkr|dVq|tkr|dVq|tkr1|d Vq | frX||Vq | ry||Vq|V |fr||}n0 | r||}n||}x|D] } | VqWqW|dk r|d8}dd|Vnd Vdk r4|=ndS( Ns[]sCircular reference detectedt[is t tnullttruetfalset](RR/RI( tlstt_current_indent_leveltmarkeridtbuftnewline_indentt separatortfirsttvalueR4tchunk(R:R7t _floatstrt_indentt_item_separatorREt_iterencode_dictt_iterencode_listR-tdicttfloattidtintRR0tlongRDRR1(s$/usr/lib64/python2.7/json/encoder.pyR] s^                     c 3s|sdVdSdk rO|}|krBdn||isRMRNRLskey s is not a stringt}(RR/tsortedtitemst iteritemsRIR(R)( tdctRQRRRTR!RVRiRdRWR4RX(R:R7RYRZR[RER\R]t_key_separatort _skipkeyst _sort_keysR-R^R_R`RaRR0RbRDRR1(s$/usr/lib64/python2.7/json/encoder.pyR\Us                        c3s |r|Vne|dkr1dVnQ|tkrEdVn=|tkrYdVn) | fr||Vn | r|Vn | frx||D] }|VqWn |rx||D] }|VqWndk rA |}|kr4dn||sN      #   PK!N@@ encoder.pynu["""Implementation of JSONEncoder """ import re try: from _json import encode_basestring_ascii as c_encode_basestring_ascii except ImportError: c_encode_basestring_ascii = None try: from _json import make_encoder as c_make_encoder except ImportError: c_make_encoder = None ESCAPE = re.compile(r'[\x00-\x1f\\"\b\f\n\r\t]') ESCAPE_ASCII = re.compile(r'([\\"]|[^\ -~])') HAS_UTF8 = re.compile(r'[\x80-\xff]') ESCAPE_DCT = { '\\': '\\\\', '"': '\\"', '\b': '\\b', '\f': '\\f', '\n': '\\n', '\r': '\\r', '\t': '\\t', } for i in range(0x20): ESCAPE_DCT.setdefault(chr(i), '\\u{0:04x}'.format(i)) #ESCAPE_DCT.setdefault(chr(i), '\\u%04x' % (i,)) INFINITY = float('inf') FLOAT_REPR = repr def encode_basestring(s): """Return a JSON representation of a Python string """ def replace(match): return ESCAPE_DCT[match.group(0)] return '"' + ESCAPE.sub(replace, s) + '"' def py_encode_basestring_ascii(s): """Return an ASCII-only JSON representation of a Python string """ if isinstance(s, str) and HAS_UTF8.search(s) is not None: s = s.decode('utf-8') def replace(match): s = match.group(0) try: return ESCAPE_DCT[s] except KeyError: n = ord(s) if n < 0x10000: return '\\u{0:04x}'.format(n) #return '\\u%04x' % (n,) else: # surrogate pair n -= 0x10000 s1 = 0xd800 | ((n >> 10) & 0x3ff) s2 = 0xdc00 | (n & 0x3ff) return '\\u{0:04x}\\u{1:04x}'.format(s1, s2) #return '\\u%04x\\u%04x' % (s1, s2) return '"' + str(ESCAPE_ASCII.sub(replace, s)) + '"' encode_basestring_ascii = ( c_encode_basestring_ascii or py_encode_basestring_ascii) class JSONEncoder(object): """Extensible JSON 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``). """ item_separator = ', ' key_separator = ': ' def __init__(self, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, encoding='utf-8', default=None): """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 default), all non-ASCII characters in the output are escaped with \uXXXX sequences, and the results are str instances consisting of ASCII characters only. If ensure_ascii is False, a result may be a unicode instance. This usually happens if the input contains unicode strings or the *encoding* parameter is used. 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. Since the default item separator is ', ', the output might include trailing whitespace when indent is specified. You can use separators=(',', ': ') to avoid this. 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. """ self.skipkeys = skipkeys self.ensure_ascii = ensure_ascii self.check_circular = check_circular self.allow_nan = allow_nan self.sort_keys = sort_keys self.indent = indent if separators is not None: self.item_separator, self.key_separator = separators if default is not None: self.default = default self.encoding = encoding def default(self, o): """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) # Let the base class default method raise the TypeError return JSONEncoder.default(self, o) """ raise TypeError(repr(o) + " is not JSON serializable") def encode(self, o): """Return a JSON string representation of a Python data structure. >>> JSONEncoder().encode({"foo": ["bar", "baz"]}) '{"foo": ["bar", "baz"]}' """ # This is for extremely simple cases and benchmarks. if isinstance(o, basestring): if isinstance(o, str): _encoding = self.encoding if (_encoding is not None and not (_encoding == 'utf-8')): o = o.decode(_encoding) if self.ensure_ascii: return encode_basestring_ascii(o) else: return encode_basestring(o) # This doesn't pass the iterator directly to ''.join() because the # exceptions aren't as detailed. The list call should be roughly # equivalent to the PySequence_Fast that ''.join() would do. chunks = self.iterencode(o, _one_shot=True) if not isinstance(chunks, (list, tuple)): chunks = list(chunks) return ''.join(chunks) def iterencode(self, o, _one_shot=False): """Encode the given object and yield each string representation as available. For example:: for chunk in JSONEncoder().iterencode(bigobject): mysocket.write(chunk) """ if self.check_circular: markers = {} else: markers = None if self.ensure_ascii: _encoder = encode_basestring_ascii else: _encoder = encode_basestring if self.encoding != 'utf-8': def _encoder(o, _orig_encoder=_encoder, _encoding=self.encoding): if isinstance(o, str): o = o.decode(_encoding) return _orig_encoder(o) def floatstr(o, allow_nan=self.allow_nan, _repr=FLOAT_REPR, _inf=INFINITY, _neginf=-INFINITY): # Check for specials. Note that this type of test is processor # and/or platform-specific, so do tests which don't depend on the # internals. if o != o: text = 'NaN' elif o == _inf: text = 'Infinity' elif o == _neginf: text = '-Infinity' else: return _repr(o) if not allow_nan: raise ValueError( "Out of range float values are not JSON compliant: " + repr(o)) return text if (_one_shot and c_make_encoder is not None and self.indent is None and not self.sort_keys): _iterencode = c_make_encoder( markers, self.default, _encoder, self.indent, self.key_separator, self.item_separator, self.sort_keys, self.skipkeys, self.allow_nan) else: _iterencode = _make_iterencode( markers, self.default, _encoder, self.indent, floatstr, self.key_separator, self.item_separator, self.sort_keys, self.skipkeys, _one_shot) return _iterencode(o, 0) def _make_iterencode(markers, _default, _encoder, _indent, _floatstr, _key_separator, _item_separator, _sort_keys, _skipkeys, _one_shot, ## HACK: hand-optimized bytecode; turn globals into locals ValueError=ValueError, basestring=basestring, dict=dict, float=float, id=id, int=int, isinstance=isinstance, list=list, long=long, str=str, tuple=tuple, ): def _iterencode_list(lst, _current_indent_level): if not lst: yield '[]' return if markers is not None: markerid = id(lst) if markerid in markers: raise ValueError("Circular reference detected") markers[markerid] = lst buf = '[' if _indent is not None: _current_indent_level += 1 newline_indent = '\n' + (' ' * (_indent * _current_indent_level)) separator = _item_separator + newline_indent buf += newline_indent else: newline_indent = None separator = _item_separator first = True for value in lst: if first: first = False else: buf = separator if isinstance(value, basestring): yield buf + _encoder(value) elif value is None: yield buf + 'null' elif value is True: yield buf + 'true' elif value is False: yield buf + 'false' elif isinstance(value, (int, long)): yield buf + str(value) elif isinstance(value, float): yield buf + _floatstr(value) else: yield buf if isinstance(value, (list, tuple)): chunks = _iterencode_list(value, _current_indent_level) elif isinstance(value, dict): chunks = _iterencode_dict(value, _current_indent_level) else: chunks = _iterencode(value, _current_indent_level) for chunk in chunks: yield chunk if newline_indent is not None: _current_indent_level -= 1 yield '\n' + (' ' * (_indent * _current_indent_level)) yield ']' if markers is not None: del markers[markerid] def _iterencode_dict(dct, _current_indent_level): if not dct: yield '{}' return if markers is not None: markerid = id(dct) if markerid in markers: raise ValueError("Circular reference detected") markers[markerid] = dct yield '{' if _indent is not None: _current_indent_level += 1 newline_indent = '\n' + (' ' * (_indent * _current_indent_level)) item_separator = _item_separator + newline_indent yield newline_indent else: newline_indent = None item_separator = _item_separator first = True if _sort_keys: items = sorted(dct.items(), key=lambda kv: kv[0]) else: items = dct.iteritems() for key, value in items: if isinstance(key, basestring): pass # JavaScript is weakly typed for these, so it makes sense to # also allow them. Many encoders seem to do something like this. elif isinstance(key, float): key = _floatstr(key) elif key is True: key = 'true' elif key is False: key = 'false' elif key is None: key = 'null' elif isinstance(key, (int, long)): key = str(key) elif _skipkeys: continue else: raise TypeError("key " + repr(key) + " is not a string") if first: first = False else: yield item_separator yield _encoder(key) yield _key_separator if isinstance(value, basestring): yield _encoder(value) elif value is None: yield 'null' elif value is True: yield 'true' elif value is False: yield 'false' elif isinstance(value, (int, long)): yield str(value) elif isinstance(value, float): yield _floatstr(value) else: if isinstance(value, (list, tuple)): chunks = _iterencode_list(value, _current_indent_level) elif isinstance(value, dict): chunks = _iterencode_dict(value, _current_indent_level) else: chunks = _iterencode(value, _current_indent_level) for chunk in chunks: yield chunk if newline_indent is not None: _current_indent_level -= 1 yield '\n' + (' ' * (_indent * _current_indent_level)) yield '}' if markers is not None: del markers[markerid] def _iterencode(o, _current_indent_level): if isinstance(o, basestring): yield _encoder(o) elif o is None: yield 'null' elif o is True: yield 'true' elif o is False: yield 'false' elif isinstance(o, (int, long)): yield str(o) elif isinstance(o, float): yield _floatstr(o) elif isinstance(o, (list, tuple)): for chunk in _iterencode_list(o, _current_indent_level): yield chunk elif isinstance(o, dict): for chunk in _iterencode_dict(o, _current_indent_level): yield chunk else: if markers is not None: markerid = id(o) if markerid in markers: raise ValueError("Circular reference detected") markers[markerid] = o o = _default(o) for chunk in _iterencode(o, _current_indent_level): yield chunk if markers is not None: del markers[markerid] return _iterencode PK!n66 __init__.pycnu[ ofc@s,dZdZddddddgZdZd d lmZd d lmZed ed e de de ddddddddZ ee e e ddddded Z ee e e ddddded Z eddddddZddddddddZddddddddZdS(s JSON (JavaScript Object Notation) is a subset of JavaScript syntax (ECMA-262 3rd edition) used as a lightweight data interchange format. :mod:`json` 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 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 json >>> json.dumps([1,2,3,{'4': 5, '6': 7}], sort_keys=True, separators=(',',':')) '[1,2,3,{"4":5,"6":7}]' Pretty printing:: >>> import json >>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, ... indent=4, separators=(',', ': ')) { "4": 5, "6": 7 } Decoding JSON:: >>> import 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 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) >>> from decimal import Decimal >>> json.loads('1.1', parse_float=Decimal) == Decimal('1.1') True Specializing JSON object encoding:: >>> import 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 json.tool from the shell to validate and pretty-print:: $ echo '{"json":"obj"}' | python -m json.tool { "json": "obj" } $ echo '{ 1.2:3.4}' | python -m json.tool Expecting property name enclosed in double quotes: line 1 column 3 (char 2) s2.0.9tdumptdumpstloadtloadst JSONDecodert JSONEncodersBob Ippolito i(R(Rtskipkeyst ensure_asciitcheck_circulart allow_nantindentt separatorstencodingsutf-8tdefaultc Ks| ru|ru|ru|ru|d kru|d kru|d kru| dkru| d kru| ru| rutj|} n`|d krt}n|d|d|d|d|d|d|d| d | d | | j|} x| D]}|j|qWd 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 true (the default), all non-ASCII characters in the output are escaped with ``\uXXXX`` sequences, and the result is a ``str`` instance consisting of ASCII characters only. If ``ensure_ascii`` is ``False``, some chunks written to ``fp`` may be ``unicode`` instances. This usually happens because the input contains unicode strings or the ``encoding`` parameter is used. 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. Since the default item separator is ``', '``, the output might include trailing whitespace when ``indent`` is specified. You can use ``separators=(',', ': ')`` to avoid this. 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. If *sort_keys* is ``True`` (default: ``False``), then the output of dictionaries will be sorted by key. To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the ``.default()`` method to serialize additional types), specify it with the ``cls`` kwarg; otherwise ``JSONEncoder`` is used. sutf-8RRRR R R R R t sort_keysN(tNonet_default_encodert iterencodeRtwrite(tobjtfpRRRR tclsR R R R Rtkwtiterabletchunk((s%/usr/lib64/python2.7/json/__init__.pyRzs5  $&    c Ks| rp|rp|rp|rp|d krp|d krp|d krp|dkrp| d krp| rp| rptj|S|d krt}n|d|d|d|d|d|d|d|d | d | | j|S( sSerialize ``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, all non-ASCII characters are not escaped, and the return value may be a ``unicode`` instance. See ``dump`` for details. 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. Since the default item separator is ``', '``, the output might include trailing whitespace when ``indent`` is specified. You can use ``separators=(',', ': ')`` to avoid this. 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. If *sort_keys* is ``True`` (default: ``False``), then the output of dictionaries will be sorted by key. To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the ``.default()`` method to serialize additional types), specify it with the ``cls`` kwarg; otherwise ``JSONEncoder`` is used. sutf-8RRRR R R R R RN(RRtencodeR( RRRRR RR R R R RR((s%/usr/lib64/python2.7/json/__init__.pyRs.  $&    t object_hooktobject_pairs_hookc Ks=t|jd|d|d|d|d|d|d||S(sDeserialize ``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). ``object_pairs_hook`` is an optional function that will be called with the result of any object literal decoded with an ordered list of pairs. The return value of ``object_pairs_hook`` will be used instead of the ``dict``. This feature can be used to implement custom decoders that rely on the order that the key and value pairs are decoded (for example, collections.OrderedDict will remember the order of insertion). If ``object_hook`` is also defined, the ``object_pairs_hook`` takes priority. To use a custom ``JSONDecoder`` subclass, specify it with the ``cls`` kwarg; otherwise ``JSONDecoder`` is used. R RRt parse_floatt parse_inttparse_constantR(Rtread( RR RRRRRRR((s%/usr/lib64/python2.7/json/__init__.pyRs   c Ks|dkrh|dkrh|dkrh|dkrh|dkrh|dkrh|dkrh| rhtj|S|dkr}t}n|dk r||dcs6     E  :  # PK!q tool.pyonu[ ofc@sAdZddlZddlZdZedkr=endS(sCommand-line tool to validate and pretty-print JSON Usage:: $ echo '{"json":"obj"}' | python -m json.tool { "json": "obj" } $ echo '{ 1.2:3.4}' | python -m json.tool Expecting property name enclosed in double quotes: line 1 column 3 (char 2) iNcCs>ttjdkr*tj}tj}nttjdkrattjdd}tj}n[ttjdkrttjdd}ttjdd}nttjdd|:ytj|}Wnt k r}t|nXWdQX|4tj ||dt d d d d|j dWdQXdS(Niitrbitwbis [infile [outfile]]t sort_keystindentit separatorst,s: s (Rs: ( tlentsystargvtstdintstdouttopent SystemExittjsontloadt ValueErrortdumptTruetwrite(tinfiletoutfiletobjte((s!/usr/lib64/python2.7/json/tool.pytmains&    t__main__(t__doc__RR Rt__name__(((s!/usr/lib64/python2.7/json/tool.pyt s     PK! scanner.pycnu[ ofc@sdZddlZyddlmZWnek r?dZnXdgZejdej ej Bej BZ dZ ep~e ZdS(sJSON token scanner iN(t make_scannerRs)(-?(?:0|[1-9]\d*))(\.\d+)?([eE][-+]?\d+)?c s|j |j|j tj|j|j |j|j|j |j |j  f dS(Nc sZy||}Wntk r'tnX|dkrK ||d S|dkrz ||df S|dkr||dfS|dkr|||d!dkrd|dfS|dkr|||d!d krt|dfS|d kr0|||d !d kr0t|d fS||}|dk r|j\}}}|sl|r||p{d |pd }n |}||jfS|dkr|||d!dkrd|dfS|dkr|||d!dkrd|dfS|dkrP|||d!dkrPd|dfStdS(Nt"it{t[tnitnullttttruetfitfalsettNitNaNtIitInfinityt-i s -Infinity(t IndexErrort StopIterationtNonetTruetFalsetgroupstend(tstringtidxtnextchartmtintegertfractexptres( t _scan_oncetencodingt match_numbert object_hooktobject_pairs_hookt parse_arraytparse_constantt parse_floatt parse_intt parse_objectt parse_stringtstrict(s$/usr/lib64/python2.7/json/scanner.pyRs>      ###  # ###( R(R$R)t NUMBER_REtmatchR R*R&R'R%R"R#(tcontext(( RR R!R"R#R$R%R&R'R(R)R*s$/usr/lib64/python2.7/json/scanner.pytpy_make_scanners           0%(t__doc__tret_jsonRtc_make_scannert ImportErrorRt__all__tcompiletVERBOSEt MULTILINEtDOTALLR+R.(((s$/usr/lib64/python2.7/json/scanner.pyts     4PK!y55 encoder.pycnu[ ofc @s|dZddlZyddlmZWnek r?dZnXyddlmZWnek rmdZnXej dZ ej dZ ej dZ idd 6d d 6d d 6dd6dd6dd6dd6Z x3edD]%Ze jeedjeqWedZeZdZdZep5eZdefdYZeeeeeee e!e"e#e$d Z%dS(sImplementation of JSONEncoder iN(tencode_basestring_ascii(t make_encoders[\x00-\x1f\\"\b\f\n\r\t]s([\\"]|[^\ -~])s [\x80-\xff]s\\s\s\"t"s\bss\fs s\ns s\rs s\ts i s \u{0:04x}tinfcCs!d}dtj||dS(s5Return a JSON representation of a Python string cSst|jdS(Ni(t ESCAPE_DCTtgroup(tmatch((s$/usr/lib64/python2.7/json/encoder.pytreplace%sR(tESCAPEtsub(tsR((s$/usr/lib64/python2.7/json/encoder.pytencode_basestring!s cCs]t|tr6tj|dk r6|jd}nd}dttj||dS(sAReturn an ASCII-only JSON representation of a Python string sutf-8cSs|jd}y t|SWnptk rt|}|dkrPdj|S|d8}d|d?d@B}d|d@B}dj||SnXdS( Niis \u{0:04x}ii iis\u{0:04x}\u{1:04x}(RRtKeyErrortordtformat(RR tnts1ts2((s$/usr/lib64/python2.7/json/encoder.pyR0s      RN(t isinstancetstrtHAS_UTF8tsearchtNonetdecodet ESCAPE_ASCIIR (R R((s$/usr/lib64/python2.7/json/encoder.pytpy_encode_basestring_ascii*s$ t JSONEncoderc Bs\eZdZdZdZeeeeeddddd ZdZ dZ edZ RS( sZExtensible JSON 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``). s, s: sutf-8c Cs|||_||_||_||_||_||_|dk rW|\|_|_n| dk ro| |_ n||_ dS(s 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 default), all non-ASCII characters in the output are escaped with \uXXXX sequences, and the results are str instances consisting of ASCII characters only. If ensure_ascii is False, a result may be a unicode instance. This usually happens if the input contains unicode strings or the *encoding* parameter is used. 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. Since the default item separator is ', ', the output might include trailing whitespace when indent is specified. You can use separators=(',', ': ') to avoid this. 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. N( tskipkeyst ensure_asciitcheck_circulart allow_nant sort_keystindentRtitem_separatort key_separatortdefaulttencoding( tselfRRRRRR t separatorsR$R#((s$/usr/lib64/python2.7/json/encoder.pyt__init__es4         cCstt|ddS(slImplement 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) # Let the base class default method raise the TypeError return JSONEncoder.default(self, o) s is not JSON serializableN(t TypeErrortrepr(R%to((s$/usr/lib64/python2.7/json/encoder.pyR#scCst|trut|trU|j}|dk rU|dk rU|j|}qUn|jrht|St|Sn|j |dt }t|t t fst |}ndj |S(sReturn a JSON string representation of a Python data structure. >>> JSONEncoder().encode({"foo": ["bar", "baz"]}) '{"foo": ["bar", "baz"]}' sutf-8t _one_shottN(Rt basestringRR$RRRRR t iterencodetTruetlistttupletjoin(R%R*t _encodingtchunks((s$/usr/lib64/python2.7/json/encoder.pytencodes      cCs|jri}nd}|jr*t}nt}|jdkrT||jd}n|jttt d}|rt dk r|j dkr|j rt ||j ||j |j |j|j |j|j }n9t||j ||j ||j |j|j |j| }||dS(sEncode the given object and yield each string representation as available. For example:: for chunk in JSONEncoder().iterencode(bigobject): mysocket.write(chunk) sutf-8cSs+t|tr!|j|}n||S(N(RRR(R*t _orig_encoderR3((s$/usr/lib64/python2.7/json/encoder.pyt_encoderscSsl||krd}n4||kr*d}n||kr?d}n ||S|shtdt|n|S(NtNaNtInfinitys -Infinitys2Out of range float values are not JSON compliant: (t ValueErrorR)(R*Rt_reprt_inft_neginfttext((s$/usr/lib64/python2.7/json/encoder.pytfloatstrs       iN(RRRRR R$Rt FLOAT_REPRtINFINITYtc_make_encoderR RR#R"R!Rt_make_iterencode(R%R*R+tmarkersR7R?t _iterencode((s$/usr/lib64/python2.7/json/encoder.pyR.s*    N( t__name__t __module__t__doc__R!R"tFalseR/RR'R#R5R.(((s$/usr/lib64/python2.7/json/encoder.pyRFs >  cs fd fd fdS(Nc 3s8|sdVdSdk rO |}|krBdn||}|rt}n|} |r||Vq|dkr|dVq|tkr|dVq|tkr1|d Vq | frX||Vq | ry||Vq|V |fr||}n0 | r||}n||}x|D] } | VqWqW|dk r|d8}dd|Vnd Vdk r4|=ndS( Ns[]sCircular reference detectedt[is t tnullttruetfalset](RR/RI( tlstt_current_indent_leveltmarkeridtbuftnewline_indentt separatortfirsttvalueR4tchunk(R:R7t _floatstrt_indentt_item_separatorREt_iterencode_dictt_iterencode_listR-tdicttfloattidtintRR0tlongRDRR1(s$/usr/lib64/python2.7/json/encoder.pyR] s^                     c 3s|sdVdSdk rO|}|krBdn||isRMRNRLskey s is not a stringt}(RR/tsortedtitemst iteritemsRIR(R)( tdctRQRRRTR!RVRiRdRWR4RX(R:R7RYRZR[RER\R]t_key_separatort _skipkeyst _sort_keysR-R^R_R`RaRR0RbRDRR1(s$/usr/lib64/python2.7/json/encoder.pyR\Us                        c3s |r|Vne|dkr1dVnQ|tkrEdVn=|tkrYdVn) | fr||Vn | r|Vn | frx||D] }|VqWn |rx||D] }|VqWndk rA |}|kr4dn||sN      #   PK! scanner.pyonu[ ofc@sdZddlZyddlmZWnek r?dZnXdgZejdej ej Bej BZ dZ ep~e ZdS(sJSON token scanner iN(t make_scannerRs)(-?(?:0|[1-9]\d*))(\.\d+)?([eE][-+]?\d+)?c s|j |j|j tj|j|j |j|j|j |j |j  f dS(Nc sZy||}Wntk r'tnX|dkrK ||d S|dkrz ||df S|dkr||dfS|dkr|||d!dkrd|dfS|dkr|||d!d krt|dfS|d kr0|||d !d kr0t|d fS||}|dk r|j\}}}|sl|r||p{d |pd }n |}||jfS|dkr|||d!dkrd|dfS|dkr|||d!dkrd|dfS|dkrP|||d!dkrPd|dfStdS(Nt"it{t[tnitnullttttruetfitfalsettNitNaNtIitInfinityt-i s -Infinity(t IndexErrort StopIterationtNonetTruetFalsetgroupstend(tstringtidxtnextchartmtintegertfractexptres( t _scan_oncetencodingt match_numbert object_hooktobject_pairs_hookt parse_arraytparse_constantt parse_floatt parse_intt parse_objectt parse_stringtstrict(s$/usr/lib64/python2.7/json/scanner.pyRs>      ###  # ###( R(R$R)t NUMBER_REtmatchR R*R&R'R%R"R#(tcontext(( RR R!R"R#R$R%R&R'R(R)R*s$/usr/lib64/python2.7/json/scanner.pytpy_make_scanners           0%(t__doc__tret_jsonRtc_make_scannert ImportErrorRt__all__tcompiletVERBOSEt MULTILINEtDOTALLR+R.(((s$/usr/lib64/python2.7/json/scanner.pyts     4PK!8>/>/ decoder.pycnu[ ofc@sdZddlZddlZddlZddlmZyddlmZWne k rgdZnXdgZ ej ej BejBZdZe\ZZZdZddZied 6ed 6ed 6Zejd eZid d6dd6dd6dd6dd6dd6dd6dd6ZdZdZdeeejdZepSeZejd eZd!Z eje d"Z!eje d#Z"de#fd$YZ$dS(%sImplementation of JSONDecoder iN(tscanner(t scanstringt JSONDecodercCssdjd}tjdkrM|d ddd|dddd}ntjd|\}}||| fS(Nt 7FF80000000000007FF0000000000000thextbigiitdd(tdecodetsyst byteordertstructtunpack(t_BYTEStnantinf((s$/usr/lib64/python2.7/json/decoder.pyt_floatconstantss /cCsU|jdd|d}|dkr2|d}n||jdd|}||fS(Ns ii(tcounttrindex(tdoctpostlinenotcolno((s$/usr/lib64/python2.7/json/decoder.pytlinecols   c Cswt||\}}|dkr=d}|j||||St||\}}d}|j|||||||S(Ns#{0}: line {1} column {2} (char {3})s?{0}: line {1} column {2} - line {3} column {4} (char {5} - {6})(RtNonetformat( tmsgRRtendRRtfmtt endlinenotendcolno((s$/usr/lib64/python2.7/json/decoder.pyterrmsg$s s -InfinitytInfinitytNaNs(.*?)(["\\\x00-\x1f])u"t"u\s\u/t/utbu tfu tnu tru ttsutf-8cCs||d|d!}t|dkr_|ddkr_yt|dSWq_tk r[q_Xnd}tt|||dS(NiiitxXisInvalid \uXXXX escape(tlentintt ValueErrorR(tsRtescR((s$/usr/lib64/python2.7/json/decoder.pyt _decode_uXXXXAs" cCs|dkrt}ng}|j}|d}xN|||} | dkrgttd||n| j}| j\} } | rt| tst| |} n|| n| dkrPnL| dkr|rdj | } tt| ||q|| q1ny||} Wn)t k rNttd||nX| dkry|| }Wn9t k rdt | } tt| ||nX|d7}nt ||}|d7}tjd krfd |kod knrf|||d !d krft ||d}d|ko7dknrfd|d d>|dB}|d7}qfnt|}||q1dj||fS(sScan the string s for a JSON string. End is the index of the character in s after the quote that started the JSON string. Unescapes all valid JSON string escape sequences and raises ValueError on attempt to decode an invalid string. If strict is False then literal control characters are allowed in the string. 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It has no effect when decoding ``unicode`` objects. Note that currently only encodings that are a superset of ASCII work, strings of other encodings should be passed in as ``unicode``. ``object_hook``, if specified, will be called with the result of every JSON object decoded and its return value will be used in place of the given ``dict``. This can be used to provide custom deserializations (e.g. to support JSON-RPC class hinting). ``object_pairs_hook``, if specified will be called with the result of every JSON object decoded with an ordered list of pairs. The return value of ``object_pairs_hook`` will be used instead of the ``dict``. This feature can be used to implement custom decoders that rely on the order that the key and value pairs are decoded (for example, collections.OrderedDict will remember the order of insertion). If ``object_hook`` is also defined, the ``object_pairs_hook`` takes priority. ``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. This can be used to raise an exception if invalid JSON numbers are encountered. If ``strict`` is false (true is the default), then control characters will be allowed inside strings. Control characters in this context are those with character codes in the 0-31 range, including ``'\t'`` (tab), ``'\n'``, ``'\r'`` and ``'\0'``. N(R;RRRStfloatt parse_floatR*t parse_intt _CONSTANTSt __getitem__tparse_constantR<R\t parse_objectR_t parse_arrayRt parse_stringRt make_scannerRQ(tselfR;RRRaRbReR<RS((s$/usr/lib64/python2.7/json/decoder.pyt__init__0s-       cCsy|j|d||dj\}}|||j}|t|kruttd||t|n|S(szReturn the Python representation of ``s`` (a ``str`` or ``unicode`` instance containing a JSON document) tidxis Extra data(t raw_decodeRR)R+R(RjR,RTtobjR((s$/usr/lib64/python2.7/json/decoder.pyRis *$icCsFy|j||\}}Wntk r;tdnX||fS(sLDecode a JSON document from ``s`` (a ``str`` or ``unicode`` beginning with a JSON document) and return a 2-tuple of the Python representation and the index in ``s`` where the document ended. This can be used to decode a JSON document from a string that may have extraneous data at the end. sNo JSON object could be decoded(RQRNR+(RjR,RlRnR((s$/usr/lib64/python2.7/json/decoder.pyRmts  N( t__name__t __module__t__doc__RRMRkt WHITESPACEtmatchRRm(((s$/usr/lib64/python2.7/json/decoder.pyRs    7 (%RqtreRR tjsonRt_jsonRt c_scanstringt ImportErrorRt__all__tVERBOSEt MULTILINEtDOTALLtFLAGSRR tPosInftNegInfRRRctcompilet STRINGCHUNKt BACKSLASHR0R.RMRsRHRrtWHITESPACE_STRR\R_tobjectR(((s$/usr/lib64/python2.7/json/decoder.pyts@         & E W$PK!n66 __init__.pyonu[ ofc@s,dZdZddddddgZdZd d lmZd d lmZed ed e de de ddddddddZ ee e e ddddded Z ee e e ddddded Z eddddddZddddddddZddddddddZdS(s JSON (JavaScript Object Notation) is a subset of JavaScript syntax (ECMA-262 3rd edition) used as a lightweight data interchange format. :mod:`json` 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 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 json >>> json.dumps([1,2,3,{'4': 5, '6': 7}], sort_keys=True, separators=(',',':')) '[1,2,3,{"4":5,"6":7}]' Pretty printing:: >>> import json >>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, ... indent=4, separators=(',', ': ')) { "4": 5, "6": 7 } Decoding JSON:: >>> import 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 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) >>> from decimal import Decimal >>> json.loads('1.1', parse_float=Decimal) == Decimal('1.1') True Specializing JSON object encoding:: >>> import 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 json.tool from the shell to validate and pretty-print:: $ echo '{"json":"obj"}' | python -m json.tool { "json": "obj" } $ echo '{ 1.2:3.4}' | python -m json.tool Expecting property name enclosed in double quotes: line 1 column 3 (char 2) s2.0.9tdumptdumpstloadtloadst JSONDecodert JSONEncodersBob Ippolito i(R(Rtskipkeyst ensure_asciitcheck_circulart allow_nantindentt separatorstencodingsutf-8tdefaultc Ks| ru|ru|ru|ru|d kru|d kru|d kru| dkru| d kru| ru| rutj|} n`|d krt}n|d|d|d|d|d|d|d| d | d | | j|} x| D]}|j|qWd 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 true (the default), all non-ASCII characters in the output are escaped with ``\uXXXX`` sequences, and the result is a ``str`` instance consisting of ASCII characters only. If ``ensure_ascii`` is ``False``, some chunks written to ``fp`` may be ``unicode`` instances. This usually happens because the input contains unicode strings or the ``encoding`` parameter is used. 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. Since the default item separator is ``', '``, the output might include trailing whitespace when ``indent`` is specified. You can use ``separators=(',', ': ')`` to avoid this. 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. If *sort_keys* is ``True`` (default: ``False``), then the output of dictionaries will be sorted by key. To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the ``.default()`` method to serialize additional types), specify it with the ``cls`` kwarg; otherwise ``JSONEncoder`` is used. sutf-8RRRR R R R R t sort_keysN(tNonet_default_encodert iterencodeRtwrite(tobjtfpRRRR tclsR R R R Rtkwtiterabletchunk((s%/usr/lib64/python2.7/json/__init__.pyRzs5  $&    c Ks| rp|rp|rp|rp|d krp|d krp|d krp|dkrp| d krp| rp| rptj|S|d krt}n|d|d|d|d|d|d|d|d | d | | j|S( sSerialize ``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, all non-ASCII characters are not escaped, and the return value may be a ``unicode`` instance. See ``dump`` for details. 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. Since the default item separator is ``', '``, the output might include trailing whitespace when ``indent`` is specified. You can use ``separators=(',', ': ')`` to avoid this. 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. If *sort_keys* is ``True`` (default: ``False``), then the output of dictionaries will be sorted by key. To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the ``.default()`` method to serialize additional types), specify it with the ``cls`` kwarg; otherwise ``JSONEncoder`` is used. sutf-8RRRR R R R R RN(RRtencodeR( RRRRR RR R R R RR((s%/usr/lib64/python2.7/json/__init__.pyRs.  $&    t object_hooktobject_pairs_hookc Ks=t|jd|d|d|d|d|d|d||S(sDeserialize ``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). ``object_pairs_hook`` is an optional function that will be called with the result of any object literal decoded with an ordered list of pairs. The return value of ``object_pairs_hook`` will be used instead of the ``dict``. This feature can be used to implement custom decoders that rely on the order that the key and value pairs are decoded (for example, collections.OrderedDict will remember the order of insertion). If ``object_hook`` is also defined, the ``object_pairs_hook`` takes priority. To use a custom ``JSONDecoder`` subclass, specify it with the ``cls`` kwarg; otherwise ``JSONDecoder`` is used. R RRt parse_floatt parse_inttparse_constantR(Rtread( RR RRRRRRR((s%/usr/lib64/python2.7/json/__init__.pyRs   c Ks|dkrh|dkrh|dkrh|dkrh|dkrh|dkrh|dkrh| rhtj|S|dkr}t}n|dk r||dcs6     E  :  # PK!3)tool.pynu[r"""Command-line tool to validate and pretty-print JSON Usage:: $ echo '{"json":"obj"}' | python -m json.tool { "json": "obj" } $ echo '{ 1.2:3.4}' | python -m json.tool Expecting property name enclosed in double quotes: line 1 column 3 (char 2) """ import sys import json def main(): if len(sys.argv) == 1: infile = sys.stdin outfile = sys.stdout elif len(sys.argv) == 2: infile = open(sys.argv[1], 'rb') outfile = sys.stdout elif len(sys.argv) == 3: infile = open(sys.argv[1], 'rb') outfile = open(sys.argv[2], 'wb') else: raise SystemExit(sys.argv[0] + " [infile [outfile]]") with infile: try: obj = json.load(infile) except ValueError, e: raise SystemExit(e) with outfile: json.dump(obj, outfile, sort_keys=True, indent=4, separators=(',', ': ')) outfile.write('\n') if __name__ == '__main__': main() PK!TY55 decoder.pynu["""Implementation of JSONDecoder """ import re import sys import struct from json import scanner try: from _json import scanstring as c_scanstring except ImportError: c_scanstring = None __all__ = ['JSONDecoder'] FLAGS = re.VERBOSE | re.MULTILINE | re.DOTALL def _floatconstants(): _BYTES = '7FF80000000000007FF0000000000000'.decode('hex') if sys.byteorder != 'big': _BYTES = _BYTES[:8][::-1] + _BYTES[8:][::-1] nan, inf = struct.unpack('dd', _BYTES) return nan, inf, -inf NaN, PosInf, NegInf = _floatconstants() def linecol(doc, pos): lineno = doc.count('\n', 0, pos) + 1 if lineno == 1: colno = pos + 1 else: colno = pos - doc.rindex('\n', 0, pos) return lineno, colno def errmsg(msg, doc, pos, end=None): # Note that this function is called from _json lineno, colno = linecol(doc, pos) if end is None: fmt = '{0}: line {1} column {2} (char {3})' return fmt.format(msg, lineno, colno, pos) #fmt = '%s: line %d column %d (char %d)' #return fmt % (msg, lineno, colno, pos) endlineno, endcolno = linecol(doc, end) fmt = '{0}: line {1} column {2} - line {3} column {4} (char {5} - {6})' return fmt.format(msg, lineno, colno, endlineno, endcolno, pos, end) #fmt = '%s: line %d column %d - line %d column %d (char %d - %d)' #return fmt % (msg, lineno, colno, endlineno, endcolno, pos, end) _CONSTANTS = { '-Infinity': NegInf, 'Infinity': PosInf, 'NaN': NaN, } STRINGCHUNK = re.compile(r'(.*?)(["\\\x00-\x1f])', FLAGS) BACKSLASH = { '"': u'"', '\\': u'\\', '/': u'/', 'b': u'\b', 'f': u'\f', 'n': u'\n', 'r': u'\r', 't': u'\t', } DEFAULT_ENCODING = "utf-8" def _decode_uXXXX(s, pos): esc = s[pos + 1:pos + 5] if len(esc) == 4 and esc[1] not in 'xX': try: return int(esc, 16) except ValueError: pass msg = "Invalid \\uXXXX escape" raise ValueError(errmsg(msg, s, pos)) def py_scanstring(s, end, encoding=None, strict=True, _b=BACKSLASH, _m=STRINGCHUNK.match): """Scan the string s for a JSON string. End is the index of the character in s after the quote that started the JSON string. Unescapes all valid JSON string escape sequences and raises ValueError on attempt to decode an invalid string. If strict is False then literal control characters are allowed in the string. Returns a tuple of the decoded string and the index of the character in s after the end quote.""" if encoding is None: encoding = DEFAULT_ENCODING chunks = [] _append = chunks.append begin = end - 1 while 1: chunk = _m(s, end) if chunk is None: raise ValueError( errmsg("Unterminated string starting at", s, begin)) end = chunk.end() content, terminator = chunk.groups() # Content is contains zero or more unescaped string characters if content: if not isinstance(content, unicode): content = unicode(content, encoding) _append(content) # Terminator is the end of string, a literal control character, # or a backslash denoting that an escape sequence follows if terminator == '"': break elif terminator != '\\': if strict: #msg = "Invalid control character %r at" % (terminator,) msg = "Invalid control character {0!r} at".format(terminator) raise ValueError(errmsg(msg, s, end)) else: _append(terminator) continue try: esc = s[end] except IndexError: raise ValueError( errmsg("Unterminated string starting at", s, begin)) # If not a unicode escape sequence, must be in the lookup table if esc != 'u': try: char = _b[esc] except KeyError: msg = "Invalid \\escape: " + repr(esc) raise ValueError(errmsg(msg, s, end)) end += 1 else: # Unicode escape sequence uni = _decode_uXXXX(s, end) end += 5 # Check for surrogate pair on UCS-4 systems if sys.maxunicode > 65535 and \ 0xd800 <= uni <= 0xdbff and s[end:end + 2] == '\\u': uni2 = _decode_uXXXX(s, end + 1) if 0xdc00 <= uni2 <= 0xdfff: uni = 0x10000 + (((uni - 0xd800) << 10) | (uni2 - 0xdc00)) end += 6 char = unichr(uni) # Append the unescaped character _append(char) return u''.join(chunks), end # Use speedup if available scanstring = c_scanstring or py_scanstring WHITESPACE = re.compile(r'[ \t\n\r]*', FLAGS) WHITESPACE_STR = ' \t\n\r' def JSONObject(s_and_end, encoding, strict, scan_once, object_hook, object_pairs_hook, _w=WHITESPACE.match, _ws=WHITESPACE_STR): s, end = s_and_end pairs = [] pairs_append = pairs.append # Use a slice to prevent IndexError from being raised, the following # check will raise a more specific ValueError if the string is empty nextchar = s[end:end + 1] # Normally we expect nextchar == '"' if nextchar != '"': if nextchar in _ws: end = _w(s, end).end() nextchar = s[end:end + 1] # Trivial empty object if nextchar == '}': if object_pairs_hook is not None: result = object_pairs_hook(pairs) return result, end + 1 pairs = {} if object_hook is not None: pairs = object_hook(pairs) return pairs, end + 1 elif nextchar != '"': raise ValueError(errmsg( "Expecting property name enclosed in double quotes", s, end)) end += 1 while True: key, end = scanstring(s, end, encoding, strict) # To skip some function call overhead we optimize the fast paths where # the JSON key separator is ": " or just ":". if s[end:end + 1] != ':': end = _w(s, end).end() if s[end:end + 1] != ':': raise ValueError(errmsg("Expecting ':' delimiter", s, end)) end += 1 try: if s[end] in _ws: end += 1 if s[end] in _ws: end = _w(s, end + 1).end() except IndexError: pass try: value, end = scan_once(s, end) except StopIteration: raise ValueError(errmsg("Expecting object", s, end)) pairs_append((key, value)) try: nextchar = s[end] if nextchar in _ws: end = _w(s, end + 1).end() nextchar = s[end] except IndexError: nextchar = '' end += 1 if nextchar == '}': break elif nextchar != ',': raise ValueError(errmsg("Expecting ',' delimiter", s, end - 1)) try: nextchar = s[end] if nextchar in _ws: end += 1 nextchar = s[end] if nextchar in _ws: end = _w(s, end + 1).end() nextchar = s[end] except IndexError: nextchar = '' end += 1 if nextchar != '"': raise ValueError(errmsg( "Expecting property name enclosed in double quotes", s, end - 1)) if object_pairs_hook is not None: result = object_pairs_hook(pairs) return result, end pairs = dict(pairs) if object_hook is not None: pairs = object_hook(pairs) return pairs, end def JSONArray(s_and_end, scan_once, _w=WHITESPACE.match, _ws=WHITESPACE_STR): s, end = s_and_end values = [] nextchar = s[end:end + 1] if nextchar in _ws: end = _w(s, end + 1).end() nextchar = s[end:end + 1] # Look-ahead for trivial empty array if nextchar == ']': return values, end + 1 _append = values.append while True: try: value, end = scan_once(s, end) except StopIteration: raise ValueError(errmsg("Expecting object", s, end)) _append(value) nextchar = s[end:end + 1] if nextchar in _ws: end = _w(s, end + 1).end() nextchar = s[end:end + 1] end += 1 if nextchar == ']': break elif nextchar != ',': raise ValueError(errmsg("Expecting ',' delimiter", s, end)) try: if s[end] in _ws: end += 1 if s[end] in _ws: end = _w(s, end + 1).end() except IndexError: pass return values, end class JSONDecoder(object): """Simple JSON decoder Performs the following translations in decoding by default: +---------------+-------------------+ | JSON | Python | +===============+===================+ | object | dict | +---------------+-------------------+ | array | list | +---------------+-------------------+ | string | unicode | +---------------+-------------------+ | number (int) | int, long | +---------------+-------------------+ | number (real) | float | +---------------+-------------------+ | true | True | +---------------+-------------------+ | false | False | +---------------+-------------------+ | null | None | +---------------+-------------------+ It also understands ``NaN``, ``Infinity``, and ``-Infinity`` as their corresponding ``float`` values, which is outside the JSON spec. """ def __init__(self, encoding=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, strict=True, object_pairs_hook=None): """``encoding`` determines the encoding used to interpret any ``str`` objects decoded by this instance (utf-8 by default). It has no effect when decoding ``unicode`` objects. Note that currently only encodings that are a superset of ASCII work, strings of other encodings should be passed in as ``unicode``. ``object_hook``, if specified, will be called with the result of every JSON object decoded and its return value will be used in place of the given ``dict``. This can be used to provide custom deserializations (e.g. to support JSON-RPC class hinting). ``object_pairs_hook``, if specified will be called with the result of every JSON object decoded with an ordered list of pairs. The return value of ``object_pairs_hook`` will be used instead of the ``dict``. This feature can be used to implement custom decoders that rely on the order that the key and value pairs are decoded (for example, collections.OrderedDict will remember the order of insertion). If ``object_hook`` is also defined, the ``object_pairs_hook`` takes priority. ``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. This can be used to raise an exception if invalid JSON numbers are encountered. If ``strict`` is false (true is the default), then control characters will be allowed inside strings. Control characters in this context are those with character codes in the 0-31 range, including ``'\\t'`` (tab), ``'\\n'``, ``'\\r'`` and ``'\\0'``. """ self.encoding = encoding self.object_hook = object_hook self.object_pairs_hook = object_pairs_hook self.parse_float = parse_float or float self.parse_int = parse_int or int self.parse_constant = parse_constant or _CONSTANTS.__getitem__ self.strict = strict self.parse_object = JSONObject self.parse_array = JSONArray self.parse_string = scanstring self.scan_once = scanner.make_scanner(self) def decode(self, s, _w=WHITESPACE.match): """Return the Python representation of ``s`` (a ``str`` or ``unicode`` instance containing a JSON document) """ obj, end = self.raw_decode(s, idx=_w(s, 0).end()) end = _w(s, end).end() if end != len(s): raise ValueError(errmsg("Extra data", s, end, len(s))) return obj def raw_decode(self, s, idx=0): """Decode a JSON document from ``s`` (a ``str`` or ``unicode`` beginning with a JSON document) and return a 2-tuple of the Python representation and the index in ``s`` where the document ended. This can be used to decode a JSON document from a string that may have extraneous data at the end. """ try: obj, end = self.scan_once(s, idx) except StopIteration: raise ValueError("No JSON object could be decoded") return obj, end PK!A scanner.pynu["""JSON token scanner """ import re try: from _json import make_scanner as c_make_scanner except ImportError: c_make_scanner = None __all__ = ['make_scanner'] NUMBER_RE = re.compile( r'(-?(?:0|[1-9]\d*))(\.\d+)?([eE][-+]?\d+)?', (re.VERBOSE | re.MULTILINE | re.DOTALL)) def py_make_scanner(context): parse_object = context.parse_object parse_array = context.parse_array parse_string = context.parse_string match_number = NUMBER_RE.match encoding = context.encoding strict = context.strict parse_float = context.parse_float parse_int = context.parse_int parse_constant = context.parse_constant object_hook = context.object_hook object_pairs_hook = context.object_pairs_hook def _scan_once(string, idx): try: nextchar = string[idx] except IndexError: raise StopIteration if nextchar == '"': return parse_string(string, idx + 1, encoding, strict) elif nextchar == '{': return parse_object((string, idx + 1), encoding, strict, _scan_once, object_hook, object_pairs_hook) elif nextchar == '[': return parse_array((string, idx + 1), _scan_once) elif nextchar == 'n' and string[idx:idx + 4] == 'null': return None, idx + 4 elif nextchar == 't' and string[idx:idx + 4] == 'true': return True, idx + 4 elif nextchar == 'f' and string[idx:idx + 5] == 'false': return False, idx + 5 m = match_number(string, idx) if m is not None: integer, frac, exp = m.groups() if frac or exp: res = parse_float(integer + (frac or '') + (exp or '')) else: res = parse_int(integer) return res, m.end() elif nextchar == 'N' and string[idx:idx + 3] == 'NaN': return parse_constant('NaN'), idx + 3 elif nextchar == 'I' and string[idx:idx + 8] == 'Infinity': return parse_constant('Infinity'), idx + 8 elif nextchar == '-' and string[idx:idx + 9] == '-Infinity': return parse_constant('-Infinity'), idx + 9 else: raise StopIteration return _scan_once make_scanner = c_make_scanner or py_make_scanner PK!/^8m8m ext/parser.sonuȯPK!HHumext/generator.sonuȯPK!L99 __init__.pynu[PK!q 6tool.pycnu[PK!8>/>/ <decoder.pyonu[PK!y55 kencoder.pyonu[PK!N@@ ^encoder.pynu[PK!n66 __init__.pycnu[PK!q \tool.pyonu[PK! scanner.pycnu[PK!y55 &encoder.pycnu[PK! [\scanner.pyonu[PK!8>/>/ Kedecoder.pycnu[PK!n66 Ĕ__init__.pyonu[PK!3)tool.pynu[PK!TY55 decoder.pynu[PK!A scanner.pynu[PK