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mirror of https://github.com/django/django.git synced 2024-12-23 09:36:06 +00:00

Added Bob Ippolito's simplejson (http://undefined.org/python/#simplejson) as {{{django.auth.simplejson}}}. This is version 1.3 of simplejson. Thanks to Bob for his code and his permission to include it.

git-svn-id: http://code.djangoproject.com/svn/django/trunk@3232 bcc190cf-cafb-0310-a4f2-bffc1f526a37
This commit is contained in:
Jacob Kaplan-Moss 2006-06-28 20:59:49 +00:00
parent aab3a418ac
commit f44e7acb17
5 changed files with 864 additions and 0 deletions

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simplejson 1.3
Copyright (c) 2006 Bob Ippolito
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is furnished to do
so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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r"""
A simple, fast, extensible JSON encoder and decoder
JSON (JavaScript Object Notation) <http://json.org> is a subset of
JavaScript syntax (ECMA-262 3rd edition) used as a lightweight data
interchange format.
simplejson exposes an API familiar to uses of the standard library
marshal and pickle modules.
Encoding basic Python object hierarchies::
>>> import simplejson
>>> simplejson.dumps(['foo', {'bar': ('baz', None, 1.0, 2)}])
'["foo", {"bar": ["baz", null, 1.0, 2]}]'
>>> print simplejson.dumps("\"foo\bar")
"\"foo\bar"
>>> print simplejson.dumps(u'\u1234')
"\u1234"
>>> print simplejson.dumps('\\')
"\\"
>>> print simplejson.dumps({"c": 0, "b": 0, "a": 0}, sort_keys=True)
{"a": 0, "b": 0, "c": 0}
>>> from StringIO import StringIO
>>> io = StringIO()
>>> simplejson.dump(['streaming API'], io)
>>> io.getvalue()
'["streaming API"]'
Decoding JSON::
>>> import simplejson
>>> simplejson.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')
[u'foo', {u'bar': [u'baz', None, 1.0, 2]}]
>>> simplejson.loads('"\\"foo\\bar"')
u'"foo\x08ar'
>>> from StringIO import StringIO
>>> io = StringIO('["streaming API"]')
>>> simplejson.load(io)
[u'streaming API']
Specializing JSON object decoding::
>>> import simplejson
>>> def as_complex(dct):
... if '__complex__' in dct:
... return complex(dct['real'], dct['imag'])
... return dct
...
>>> simplejson.loads('{"__complex__": true, "real": 1, "imag": 2}',
... object_hook=as_complex)
(1+2j)
Extending JSONEncoder::
>>> import simplejson
>>> class ComplexEncoder(simplejson.JSONEncoder):
... def default(self, obj):
... if isinstance(obj, complex):
... return [obj.real, obj.imag]
... return simplejson.JSONEncoder.default(self, obj)
...
>>> dumps(2 + 1j, cls=ComplexEncoder)
'[2.0, 1.0]'
>>> ComplexEncoder().encode(2 + 1j)
'[2.0, 1.0]'
>>> list(ComplexEncoder().iterencode(2 + 1j))
['[', '2.0', ', ', '1.0', ']']
Note that the JSON produced by this module is a subset of YAML,
so it may be used as a serializer for that as well.
"""
__version__ = '1.3'
__all__ = [
'dump', 'dumps', 'load', 'loads',
'JSONDecoder', 'JSONEncoder',
]
from django.utils.simplejson.decoder import JSONDecoder
from django.utils.simplejson.encoder import JSONEncoder
def dump(obj, fp, skipkeys=False, ensure_ascii=True, check_circular=True,
allow_nan=True, cls=None, **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 ``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``).
To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the
``.default()`` method to serialize additional types), specify it with
the ``cls`` kwarg.
"""
if cls is None:
cls = JSONEncoder
iterable = cls(skipkeys=skipkeys, ensure_ascii=ensure_ascii,
check_circular=check_circular, allow_nan=allow_nan,
**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, **kw):
"""
Serialize ``obj`` to a JSON formatted ``str``.
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 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``).
To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the
``.default()`` method to serialize additional types), specify it with
the ``cls`` kwarg.
"""
if cls is None:
cls = JSONEncoder
return cls(skipkeys=skipkeys, ensure_ascii=ensure_ascii,
check_circular=check_circular, allow_nan=allow_nan, **kw).encode(obj)
def load(fp, encoding=None, cls=None, object_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).
To use a custom ``JSONDecoder`` subclass, specify it with the ``cls``
kwarg.
"""
if cls is None:
cls = JSONDecoder
if object_hook is not None:
kw['object_hook'] = object_hook
return cls(encoding=encoding, **kw).decode(fp.read())
def loads(s, encoding=None, cls=None, object_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).
To use a custom ``JSONDecoder`` subclass, specify it with the ``cls``
kwarg.
"""
if cls is None:
cls = JSONDecoder
if object_hook is not None:
kw['object_hook'] = object_hook
return cls(encoding=encoding, **kw).decode(s)
def read(s):
"""
json-py API compatibility hook. Use loads(s) instead.
"""
import warnings
warnings.warn("simplejson.loads(s) should be used instead of read(s)",
DeprecationWarning)
return loads(s)
def write(obj):
"""
json-py API compatibility hook. Use dumps(s) instead.
"""
import warnings
warnings.warn("simplejson.dumps(s) should be used instead of write(s)",
DeprecationWarning)
return dumps(obj)

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"""
Implementation of JSONDecoder
"""
import re
from django.utils.simplejson.scanner import Scanner, pattern
FLAGS = re.VERBOSE | re.MULTILINE | re.DOTALL
def _floatconstants():
import struct
import sys
_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
else:
colno = pos - doc.rindex('\n', 0, pos)
return lineno, colno
def errmsg(msg, doc, pos, end=None):
lineno, colno = linecol(doc, pos)
if end is None:
return '%s: line %d column %d (char %d)' % (msg, lineno, colno, pos)
endlineno, endcolno = linecol(doc, end)
return '%s: line %d column %d - line %d column %d (char %d - %d)' % (
msg, lineno, colno, endlineno, endcolno, pos, end)
_CONSTANTS = {
'-Infinity': NegInf,
'Infinity': PosInf,
'NaN': NaN,
'true': True,
'false': False,
'null': None,
}
def JSONConstant(match, context, c=_CONSTANTS):
return c[match.group(0)], None
pattern('(-?Infinity|NaN|true|false|null)')(JSONConstant)
def JSONNumber(match, context):
match = JSONNumber.regex.match(match.string, *match.span())
integer, frac, exp = match.groups()
if frac or exp:
res = float(integer + (frac or '') + (exp or ''))
else:
res = int(integer)
return res, None
pattern(r'(-?(?:0|[1-9]\d*))(\.\d+)?([eE][-+]?\d+)?')(JSONNumber)
STRINGCHUNK = re.compile(r'(.*?)(["\\])', 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 scanstring(s, end, encoding=None, _b=BACKSLASH, _m=STRINGCHUNK.match):
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()
if content:
if not isinstance(content, unicode):
content = unicode(content, encoding)
_append(content)
if terminator == '"':
break
try:
esc = s[end]
except IndexError:
raise ValueError(
errmsg("Unterminated string starting at", s, begin))
if esc != 'u':
try:
m = _b[esc]
except KeyError:
raise ValueError(
errmsg("Invalid \\escape: %r" % (esc,), s, end))
end += 1
else:
esc = s[end + 1:end + 5]
try:
m = unichr(int(esc, 16))
if len(esc) != 4 or not esc.isalnum():
raise ValueError
except ValueError:
raise ValueError(errmsg("Invalid \\uXXXX escape", s, end))
end += 5
_append(m)
return u''.join(chunks), end
def JSONString(match, context):
encoding = getattr(context, 'encoding', None)
return scanstring(match.string, match.end(), encoding)
pattern(r'"')(JSONString)
WHITESPACE = re.compile(r'\s*', FLAGS)
def JSONObject(match, context, _w=WHITESPACE.match):
pairs = {}
s = match.string
end = _w(s, match.end()).end()
nextchar = s[end:end + 1]
# trivial empty object
if nextchar == '}':
return pairs, end + 1
if nextchar != '"':
raise ValueError(errmsg("Expecting property name", s, end))
end += 1
encoding = getattr(context, 'encoding', None)
while True:
key, end = scanstring(s, end, encoding)
end = _w(s, end).end()
if s[end:end + 1] != ':':
raise ValueError(errmsg("Expecting : delimiter", s, end))
end = _w(s, end + 1).end()
try:
value, end = JSONScanner.iterscan(s, idx=end).next()
except StopIteration:
raise ValueError(errmsg("Expecting object", s, end))
pairs[key] = value
end = _w(s, end).end()
nextchar = s[end:end + 1]
end += 1
if nextchar == '}':
break
if nextchar != ',':
raise ValueError(errmsg("Expecting , delimiter", s, end - 1))
end = _w(s, end).end()
nextchar = s[end:end + 1]
end += 1
if nextchar != '"':
raise ValueError(errmsg("Expecting property name", s, end - 1))
object_hook = getattr(context, 'object_hook', None)
if object_hook is not None:
pairs = object_hook(pairs)
return pairs, end
pattern(r'{')(JSONObject)
def JSONArray(match, context, _w=WHITESPACE.match):
values = []
s = match.string
end = _w(s, match.end()).end()
# look-ahead for trivial empty array
nextchar = s[end:end + 1]
if nextchar == ']':
return values, end + 1
while True:
try:
value, end = JSONScanner.iterscan(s, idx=end).next()
except StopIteration:
raise ValueError(errmsg("Expecting object", s, end))
values.append(value)
end = _w(s, end).end()
nextchar = s[end:end + 1]
end += 1
if nextchar == ']':
break
if nextchar != ',':
raise ValueError(errmsg("Expecting , delimiter", s, end))
end = _w(s, end).end()
return values, end
pattern(r'\[')(JSONArray)
ANYTHING = [
JSONObject,
JSONArray,
JSONString,
JSONConstant,
JSONNumber,
]
JSONScanner = Scanner(ANYTHING)
class JSONDecoder(object):
"""
Simple JSON <http://json.org> decoder
Performs the following translations in decoding:
+---------------+-------------------+
| 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.
"""
_scanner = Scanner(ANYTHING)
__all__ = ['__init__', 'decode', 'raw_decode']
def __init__(self, encoding=None, object_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).
"""
self.encoding = encoding
self.object_hook = object_hook
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, **kw):
"""
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.
"""
kw.setdefault('context', self)
try:
obj, end = self._scanner.iterscan(s, **kw).next()
except StopIteration:
raise ValueError("No JSON object could be decoded")
return obj, end
__all__ = ['JSONDecoder']

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"""
Implementation of JSONEncoder
"""
import re
# this should match any kind of infinity
INFCHARS = re.compile(r'[infINF]')
ESCAPE = re.compile(r'[\x00-\x19\\"\b\f\n\r\t]')
ESCAPE_ASCII = re.compile(r'([\\"]|[^\ -~])')
ESCAPE_DCT = {
'\\': '\\\\',
'"': '\\"',
'\b': '\\b',
'\f': '\\f',
'\n': '\\n',
'\r': '\\r',
'\t': '\\t',
}
for i in range(20):
ESCAPE_DCT.setdefault(chr(i), '\\u%04x' % (i,))
def floatstr(o, allow_nan=True):
s = str(o)
# If the first non-sign is a digit then it's not a special value
if (o < 0.0 and s[1].isdigit()) or s[0].isdigit():
return s
elif not allow_nan:
raise ValueError("Out of range float values are not JSON compliant: %r"
% (o,))
# These are the string representations on the platforms I've tried
if s == 'nan':
return 'NaN'
if s == 'inf':
return 'Infinity'
if s == '-inf':
return '-Infinity'
# NaN should either be inequal to itself, or equal to everything
if o != o or o == 0.0:
return 'NaN'
# Last ditch effort, assume inf
if o < 0:
return '-Infinity'
return 'Infinity'
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 encode_basestring_ascii(s):
def replace(match):
s = match.group(0)
try:
return ESCAPE_DCT[s]
except KeyError:
return '\\u%04x' % (ord(s),)
return '"' + str(ESCAPE_ASCII.sub(replace, s)) + '"'
class JSONEncoder(object):
"""
Extensible JSON <http://json.org> encoder for Python data structures.
Supports the following objects and types by default:
+-------------------+---------------+
| Python | JSON |
+===================+===============+
| dict | object |
+-------------------+---------------+
| list, tuple | array |
+-------------------+---------------+
| str, unicode | string |
+-------------------+---------------+
| int, long, float | number |
+-------------------+---------------+
| True | true |
+-------------------+---------------+
| False | false |
+-------------------+---------------+
| None | null |
+-------------------+---------------+
To extend this to recognize other objects, subclass and implement a
``.default()`` method with another method that returns a serializable
object for ``o`` if possible, otherwise it should call the superclass
implementation (to raise ``TypeError``).
"""
__all__ = ['__init__', 'default', 'encode', 'iterencode']
def __init__(self, skipkeys=False, ensure_ascii=True,
check_circular=True, allow_nan=True, sort_keys=False):
"""
Constructor for JSONEncoder, with sensible defaults.
If skipkeys is False, then it is a TypeError to attempt
encoding of keys that are not str, int, long, float or None. If
skipkeys is True, such items are simply skipped.
If ensure_ascii is True, the output is guaranteed to be str
objects with all incoming unicode characters escaped. If
ensure_ascii is false, the output will be unicode object.
If check_circular is True, then lists, dicts, and custom encoded
objects will be checked for circular references during encoding to
prevent an infinite recursion (which would cause an OverflowError).
Otherwise, no such check takes place.
If allow_nan is True, then NaN, Infinity, and -Infinity will be
encoded as such. This behavior is not JSON specification compliant,
but is consistent with most JavaScript based encoders and decoders.
Otherwise, it will be a ValueError to encode such floats.
If sort_keys is True, then the output of dictionaries will be
sorted by key; this is useful for regression tests to ensure
that JSON serializations can be compared on a day-to-day basis.
"""
self.skipkeys = skipkeys
self.ensure_ascii = ensure_ascii
self.check_circular = check_circular
self.allow_nan = allow_nan
self.sort_keys = sort_keys
def _iterencode_list(self, lst, markers=None):
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
yield '['
first = True
for value in lst:
if first:
first = False
else:
yield ', '
for chunk in self._iterencode(value, markers):
yield chunk
yield ']'
if markers is not None:
del markers[markerid]
def _iterencode_dict(self, dct, markers=None):
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 '{'
first = True
if self.ensure_ascii:
encoder = encode_basestring_ascii
else:
encoder = encode_basestring
allow_nan = self.allow_nan
if self.sort_keys:
keys = dct.keys()
keys.sort()
items = [(k,dct[k]) for k in keys]
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, allow_nan)
elif isinstance(key, (int, long)):
key = str(key)
elif key is True:
key = 'true'
elif key is False:
key = 'false'
elif key is None:
key = 'null'
elif self.skipkeys:
continue
else:
raise TypeError("key %r is not a string" % (key,))
if first:
first = False
else:
yield ', '
yield encoder(key)
yield ': '
for chunk in self._iterencode(value, markers):
yield chunk
yield '}'
if markers is not None:
del markers[markerid]
def _iterencode(self, o, markers=None):
if isinstance(o, basestring):
if self.ensure_ascii:
encoder = encode_basestring_ascii
else:
encoder = encode_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, self.allow_nan)
elif isinstance(o, (list, tuple)):
for chunk in self._iterencode_list(o, markers):
yield chunk
elif isinstance(o, dict):
for chunk in self._iterencode_dict(o, markers):
yield chunk
else:
if markers is not None:
markerid = id(o)
if markerid in markers:
raise ValueError("Circular reference detected")
markers[markerid] = o
for chunk in self._iterencode_default(o, markers):
yield chunk
if markers is not None:
del markers[markerid]
def _iterencode_default(self, o, markers=None):
newobj = self.default(o)
return self._iterencode(newobj, markers)
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)
return JSONEncoder.default(self, o)
"""
raise TypeError("%r is not JSON serializable" % (o,))
def encode(self, o):
"""
Return a JSON string representation of a Python data structure.
>>> JSONEncoder().encode({"foo": ["bar", "baz"]})
'{"foo":["bar", "baz"]}'
"""
# This doesn't pass the iterator directly to ''.join() because it
# sucks at reporting exceptions. It's going to do this internally
# anyway because it uses PySequence_Fast or similar.
chunks = list(self.iterencode(o))
return ''.join(chunks)
def iterencode(self, o):
"""
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
return self._iterencode(o, markers)
__all__ = ['JSONEncoder']

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@ -0,0 +1,63 @@
"""
Iterator based sre token scanner
"""
import sre_parse, sre_compile, sre_constants
from sre_constants import BRANCH, SUBPATTERN
from sre import VERBOSE, MULTILINE, DOTALL
import re
__all__ = ['Scanner', 'pattern']
FLAGS = (VERBOSE | MULTILINE | DOTALL)
class Scanner(object):
def __init__(self, lexicon, flags=FLAGS):
self.actions = [None]
# combine phrases into a compound pattern
s = sre_parse.Pattern()
s.flags = flags
p = []
for idx, token in enumerate(lexicon):
phrase = token.pattern
try:
subpattern = sre_parse.SubPattern(s,
[(SUBPATTERN, (idx + 1, sre_parse.parse(phrase, flags)))])
except sre_constants.error:
raise
p.append(subpattern)
self.actions.append(token)
p = sre_parse.SubPattern(s, [(BRANCH, (None, p))])
self.scanner = sre_compile.compile(p)
def iterscan(self, string, idx=0, context=None):
"""
Yield match, end_idx for each match
"""
match = self.scanner.scanner(string, idx).match
actions = self.actions
lastend = idx
end = len(string)
while True:
m = match()
if m is None:
break
matchbegin, matchend = m.span()
if lastend == matchend:
break
action = actions[m.lastindex]
if action is not None:
rval, next_pos = action(m, context)
if next_pos is not None and next_pos != matchend:
# "fast forward" the scanner
matchend = next_pos
match = self.scanner.scanner(string, matchend).match
yield rval, matchend
lastend = matchend
def pattern(pattern, flags=FLAGS):
def decorator(fn):
fn.pattern = pattern
fn.regex = re.compile(pattern, flags)
return fn
return decorator