import sre_parse, sre_compile, sre_constants
from sre_constants import BRANCH, SUBPATTERN
from re import VERBOSE, MULTILINE, DOTALL
import re
import cgi
import warnings

_speedups = None


class JSONFilter(object):
	def __init__(self, app, mime_type='text/x-json'):
		self.app = app
		self.mime_type = mime_type

	def __call__(self, environ, start_response):
		# Read JSON POST input to jsonfilter.json if matching mime type
		response = {'status': '200 OK', 'headers': []}
		def json_start_response(status, headers):
			response['status'] = status
			response['headers'].extend(headers)
		environ['jsonfilter.mime_type'] = self.mime_type
		if environ.get('REQUEST_METHOD', '') == 'POST':
			if environ.get('CONTENT_TYPE', '') == self.mime_type:
				args = [_ for _ in [environ.get('CONTENT_LENGTH')] if _]
				data = environ['wsgi.input'].read(*map(int, args))
				environ['jsonfilter.json'] = simplejson.loads(data)
		res = simplejson.dumps(self.app(environ, json_start_response))
		jsonp = cgi.parse_qs(environ.get('QUERY_STRING', '')).get('jsonp')
		if jsonp:
			content_type = 'text/javascript'
			res = ''.join(jsonp + ['(', res, ')'])
		elif 'Opera' in environ.get('HTTP_USER_AGENT', ''):
			# Opera has bunk XMLHttpRequest support for most mime types
			content_type = 'text/plain'
		else:
			content_type = self.mime_type
		headers = [
			('Content-type', content_type),
			('Content-length', len(res)),
		]
		headers.extend(response['headers'])
		start_response(response['status'], headers)
		return [res]

def factory(app, global_conf, **kw):
	return JSONFilter(app, **kw)



ESCAPE = re.compile(r'[\x00-\x19\\"\b\f\n\r\t]')
ESCAPE_ASCII = re.compile(r'([\\"/]|[^\ -~])')
ESCAPE_DCT = {
	# escape all forward slashes to prevent </script> attack
	'/': '\\/',
	'\\': '\\\\',
	'"': '\\"',
	'\b': '\\b',
	'\f': '\\f',
	'\n': '\\n',
	'\r': '\\r',
	'\t': '\\t',
}
for i in range(0x20):
	ESCAPE_DCT.setdefault(chr(i), '\\u%04x' % (i,))

# assume this produces an infinity on all machines (probably not guaranteed)
INFINITY = float('1e66666')

def floatstr(o, allow_nan=True):
	# 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 == INFINITY:
		text = 'Infinity'
	elif o == -INFINITY:
		text = '-Infinity'
	else:
		return str(o)

	if not allow_nan:
		raise ValueError("Out of range float values are not JSON compliant: %r"
			% (o,))

	return text


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:
			n = ord(s)
			if n < 0x10000:
				return '\\u%04x' % (n,)
			else:
				# surrogate pair
				n -= 0x10000
				s1 = 0xd800 | ((n >> 10) & 0x3ff)
				s2 = 0xdc00 | (n & 0x3ff)
				return '\\u%04x\\u%04x' % (s1, s2)
	return '"' + str(ESCAPE_ASCII.sub(replace, s)) + '"'
		
try:
	encode_basestring_ascii = _speedups.encode_basestring_ascii
	_need_utf8 = True
except AttributeError:
	_need_utf8 = False

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``).
	"""
	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'):
		"""
		Constructor for JSONEncoder, with sensible defaults.

		If skipkeys is False, then it is a TypeError to attempt
		encoding of keys that are not str, int, long, float or None.  If
		skipkeys is True, such items are simply skipped.

		If ensure_ascii is True, the output is guaranteed to be str
		objects with all incoming unicode characters escaped.  If
		ensure_ascii is false, the output will be unicode object.

		If check_circular is True, then lists, dicts, and custom encoded
		objects will be checked for circular references during encoding to
		prevent an infinite recursion (which would cause an OverflowError).
		Otherwise, no such check takes place.

		If allow_nan is True, then NaN, Infinity, and -Infinity will be
		encoded as such.  This behavior is not JSON specification compliant,
		but is consistent with most JavaScript based encoders and decoders.
		Otherwise, it will be a ValueError to encode such floats.

		If sort_keys is True, then the output of dictionaries will be
		sorted by key; this is useful for regression tests to ensure
		that JSON serializations can be compared on a day-to-day basis.

		If indent is a non-negative integer, then JSON array
		elements and object members will be pretty-printed with that
		indent level.  An indent level of 0 will only insert newlines.
		None is the most compact representation.

		If specified, separators should be a (item_separator, key_separator)
		tuple. The default is (', ', ': '). To get the most compact JSON
		representation you should specify (',', ':') to eliminate whitespace.

		If 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
		self.current_indent_level = 0
		if separators is not None:
			self.item_separator, self.key_separator = separators
		self.encoding = encoding

	def _newline_indent(self):
		return '\n' + (' ' * (self.indent * self.current_indent_level))

	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 '['
		if self.indent is not None:
			self.current_indent_level += 1
			newline_indent = self._newline_indent()
			separator = self.item_separator + newline_indent
			yield newline_indent
		else:
			newline_indent = None
			separator = self.item_separator
		first = True
		for value in lst:
			if first:
				first = False
			else:
				yield separator
			for chunk in self._iterencode(value, markers):
				yield chunk
		if newline_indent is not None:
			self.current_indent_level -= 1
			yield self._newline_indent()
		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 '{'
		key_separator = self.key_separator
		if self.indent is not None:
			self.current_indent_level += 1
			newline_indent = self._newline_indent()
			item_separator = self.item_separator + newline_indent
			yield newline_indent
		else:
			newline_indent = None
			item_separator = self.item_separator
		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()
		_encoding = self.encoding
		_do_decode = (_encoding is not None
			and not (_need_utf8 and _encoding == 'utf-8'))
		for key, value in items:
			if isinstance(key, str):
				if _do_decode:
					key = key.decode(_encoding)
			elif 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 item_separator
			yield encoder(key)
			yield key_separator
			for chunk in self._iterencode(value, markers):
				yield chunk
		if newline_indent is not None:
			self.current_indent_level -= 1
			yield self._newline_indent()
		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
			_encoding = self.encoding
			if (_encoding is not None and isinstance(o, str)
					and not (_need_utf8 and _encoding == 'utf-8')):
				o = o.decode(_encoding)
			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 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' and _need_utf8)):
					o = o.decode(_encoding)
			return encode_basestring_ascii(o)
		# 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)


FLAGS = (VERBOSE | MULTILINE | DOTALL)
#FLAGS = re.VERBOSE | re.MULTILINE | re.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



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)
	iterscan = JSONScanner.iterscan
	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 = iterscan(s, idx=end, context=context).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
	iterscan = JSONScanner.iterscan
	while True:
		try:
			value, end = iterscan(s, idx=end, context=context).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



#def __init__(self):
__version__ = '1.7.1'

_default_encoder = JSONEncoder(
		skipkeys=False,
		ensure_ascii=True,
		check_circular=True,
		allow_nan=True,
		indent=None,
		separators=None,
		encoding='utf-8'
)

def dump(obj, fp, skipkeys=False, ensure_ascii=True, check_circular=True,
				allow_nan=True, cls=None, indent=None, separators=None,
				encoding='utf-8', **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``).

		If ``indent`` is a non-negative integer, then JSON array elements and object
		members will be pretty-printed with that indent level. An indent level
		of 0 will only insert newlines. ``None`` is the most compact representation.

		If ``separators`` is an ``(item_separator, dict_separator)`` tuple
		then it will be used instead of the default ``(', ', ': ')`` separators.
		``(',', ':')`` is the most compact JSON representation.

		``encoding`` is the character encoding for str instances, default is UTF-8.

		To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the
		``.default()`` method to serialize additional types), specify it with
		the ``cls`` kwarg.
		"""
		# cached encoder
		if (skipkeys is False and ensure_ascii is True and
				check_circular is True and allow_nan is True and
				cls is None and indent is None and separators is None and
				encoding == 'utf-8' 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, **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', **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``).

		If ``indent`` is a non-negative integer, then JSON array elements and
		object members will be pretty-printed with that indent level. An indent
		level of 0 will only insert newlines. ``None`` is the most compact
		representation.

		If ``separators`` is an ``(item_separator, dict_separator)`` tuple
		then it will be used instead of the default ``(', ', ': ')`` separators.
		``(',', ':')`` is the most compact JSON representation.

		``encoding`` is the character encoding for str instances, default is UTF-8.

		To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the
		``.default()`` method to serialize additional types), specify it with
		the ``cls`` kwarg.
		"""
		# cached encoder
		if (skipkeys is False and ensure_ascii is True and
				check_circular is True and allow_nan is True and
				cls is None and indent is None and separators is None and
				encoding == 'utf-8' 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,
				**kw).encode(obj)

_default_decoder = JSONDecoder(encoding=None, object_hook=None)

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.
		"""
		return loads(fp.read(),
				encoding=encoding, cls=cls, object_hook=object_hook, **kw)

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 and encoding is None and object_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
		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)



