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Code Issues Releases Wiki Activity

merge json library with simplejson 2.0.9 (issue 4136)

This commit is contained in:
Bob Ippolito 2009-03-17 23:19:00 +00:00
parent 277859d591
commit d914e3f861
13 changed files with 2430 additions and 582 deletions
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109
Lib/json/__init__.py
View File

@ -1,11 +1,13 @@
r"""A simple, fast, extensible JSON encoder and decoder
JSON (JavaScript Object Notation) <http://json.org> is a subset of
r"""JSON (JavaScript Object Notation) <http://json.org> is a subset of
JavaScript syntax (ECMA-262 3rd edition) used as a lightweight data
interchange format.
json exposes an API familiar to uses of the standard library
marshal and pickle modules.
: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::
@ -32,23 +34,28 @@ Compact encoding::
>>> json.dumps([1,2,3,{'4': 5, '6': 7}], separators=(',',':'))
'[1,2,3,{"4":5,"6":7}]'
Pretty printing (using repr() because of extraneous whitespace in the output)::
Pretty printing::
>>> import json
>>> print repr(json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4))
'{\n "4": 5, \n "6": 7\n}'
>>> s = json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4)
>>> print '\n'.join([l.rstrip() for l in s.splitlines()])
{
"4": 5,
"6": 7
}
Decoding JSON::
>>> import json
>>> json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')
[u'foo', {u'bar': [u'baz', None, 1.0, 2]}]
>>> json.loads('"\\"foo\\bar"')
u'"foo\x08ar'
>>> 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)
[u'streaming API']
>>> json.load(io)[0] == 'streaming API'
True
Specializing JSON object decoding::
@ -61,43 +68,36 @@ Specializing JSON object decoding::
>>> json.loads('{"__complex__": true, "real": 1, "imag": 2}',
... object_hook=as_complex)
(1+2j)
>>> import decimal
>>> json.loads('1.1', parse_float=decimal.Decimal)
Decimal('1.1')
>>> from decimal import Decimal
>>> json.loads('1.1', parse_float=Decimal) == Decimal('1.1')
True
Extending JSONEncoder::
Specializing JSON object encoding::
>>> import json
>>> class ComplexEncoder(json.JSONEncoder):
... def default(self, obj):
... if isinstance(obj, complex):
... return [obj.real, obj.imag]
... return json.JSONEncoder.default(self, obj)
>>> def encode_complex(obj):
... if isinstance(obj, complex):
... return [obj.real, obj.imag]
... raise TypeError(repr(o) + " is not JSON serializable")
...
>>> dumps(2 + 1j, cls=ComplexEncoder)
>>> json.dumps(2 + 1j, default=encode_complex)
'[2.0, 1.0]'
>>> ComplexEncoder().encode(2 + 1j)
>>> 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]'
>>> list(ComplexEncoder().iterencode(2 + 1j))
['[', '2.0', ', ', '1.0', ']']
Using json.tool from the shell to validate and
pretty-print::
Using json.tool from the shell to validate and pretty-print::
$ echo '{"json":"obj"}' | python -mjson.tool
$ echo '{"json":"obj"}' | python -m json.tool
{
"json": "obj"
}
$ echo '{ 1.2:3.4}' | python -mjson.tool
$ echo '{ 1.2:3.4}' | python -m json.tool
Expecting property name: line 1 column 2 (char 2)
Note that the JSON produced by this module's default settings
is a subset of YAML, so it may be used as a serializer for that as well.
"""
__version__ = '1.9'
__version__ = '2.0.9'
__all__ = [
'dump', 'dumps', 'load', 'loads',
'JSONDecoder', 'JSONEncoder',
@ -125,28 +125,29 @@ def dump(obj, fp, skipkeys=False, ensure_ascii=True, check_circular=True,
"""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
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``
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
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
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 ``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.
@ -163,8 +164,8 @@ def dump(obj, fp, skipkeys=False, ensure_ascii=True, check_circular=True,
"""
# cached encoder
if (skipkeys is False and ensure_ascii is True and
check_circular is True and allow_nan is True and
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 kw):
iterable = _default_encoder.iterencode(obj)
@ -186,19 +187,19 @@ def dumps(obj, skipkeys=False, ensure_ascii=True, check_circular=True,
encoding='utf-8', default=None, **kw):
"""Serialize ``obj`` to a JSON formatted ``str``.
If ``skipkeys`` is ``True`` then ``dict`` keys that are not basic types
If ``skipkeys`` is false then ``dict`` keys that are not basic types
(``str``, ``unicode``, ``int``, ``long``, ``float``, ``bool``, ``None``)
will be skipped instead of raising a ``TypeError``.
If ``ensure_ascii`` is ``False``, then the return value will be a
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
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
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``).
@ -223,8 +224,8 @@ def dumps(obj, skipkeys=False, ensure_ascii=True, check_circular=True,
"""
# cached encoder
if (skipkeys is False and ensure_ascii is True and
check_circular is True and allow_nan is True and
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 kw):
return _default_encoder.encode(obj)
@ -242,8 +243,8 @@ _default_decoder = JSONDecoder(encoding=None, object_hook=None)
def load(fp, encoding=None, cls=None, object_hook=None, parse_float=None,
parse_int=None, parse_constant=None, **kw):
"""Deserialize ``fp`` (a ``.read()``-supporting file-like object
containing a JSON document) to a Python object.
"""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

271
Lib/json/decoder.py
View File

@ -1,10 +1,10 @@
"""Implementation of JSONDecoder
"""
import re
import sys
import struct
from json.scanner import Scanner, pattern
from json.scanner import make_scanner
try:
from _json import scanstring as c_scanstring
except ImportError:
@ -14,7 +14,14 @@ __all__ = ['JSONDecoder']
FLAGS = re.VERBOSE | re.MULTILINE | re.DOTALL
NaN, PosInf, NegInf = float('nan'), float('inf'), float('-inf')
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):
@ -27,49 +34,26 @@ def linecol(doc, pos):
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,
'true': True,
'false': False,
'null': None,
}
def JSONConstant(match, context, c=_CONSTANTS):
s = match.group(0)
fn = getattr(context, 'parse_constant', None)
if fn is None:
rval = c[s]
else:
rval = fn(s)
return rval, 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:
fn = getattr(context, 'parse_float', None) or float
res = fn(integer + (frac or '') + (exp or ''))
else:
fn = getattr(context, 'parse_int', None) or int
res = fn(integer)
return res, None
pattern(r'(-?(?:0|[1-9]\d*))(\.\d+)?([eE][-+]?\d+)?')(JSONNumber)
STRINGCHUNK = re.compile(r'(.*?)(["\\\x00-\x1f])', FLAGS)
BACKSLASH = {
'"': u'"', '\\': u'\\', '/': u'/',
@ -78,8 +62,16 @@ BACKSLASH = {
DEFAULT_ENCODING = "utf-8"
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.
def py_scanstring(s, end, encoding=None, strict=True, _b=BACKSLASH, _m=STRINGCHUNK.match):
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 = []
@ -92,14 +84,18 @@ def py_scanstring(s, end, encoding=None, strict=True, _b=BACKSLASH, _m=STRINGCHU
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:
@ -110,136 +106,157 @@ def py_scanstring(s, end, encoding=None, strict=True, _b=BACKSLASH, _m=STRINGCHU
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:
m = _b[esc]
char = _b[esc]
except KeyError:
msg = "Invalid \\escape: {0!r}".format(esc)
msg = "Invalid \\escape: " + repr(esc)
raise ValueError(errmsg(msg, s, end))
end += 1
else:
# Unicode escape sequence
esc = s[end + 1:end + 5]
next_end = end + 5
msg = "Invalid \\uXXXX escape"
try:
if len(esc) != 4:
raise ValueError
uni = int(esc, 16)
if 0xd800 <= uni <= 0xdbff and sys.maxunicode > 65535:
msg = "Invalid \\uXXXX\\uXXXX surrogate pair"
if not s[end + 5:end + 7] == '\\u':
raise ValueError
esc2 = s[end + 7:end + 11]
if len(esc2) != 4:
raise ValueError
uni2 = int(esc2, 16)
uni = 0x10000 + (((uni - 0xd800) << 10) | (uni2 - 0xdc00))
next_end += 6
m = unichr(uni)
except ValueError:
if len(esc) != 4:
msg = "Invalid \\uXXXX escape"
raise ValueError(errmsg(msg, s, end))
uni = int(esc, 16)
# Check for surrogate pair on UCS-4 systems
if 0xd800 <= uni <= 0xdbff and sys.maxunicode > 65535:
msg = "Invalid \\uXXXX\\uXXXX surrogate pair"
if not s[end + 5:end + 7] == '\\u':
raise ValueError(errmsg(msg, s, end))
esc2 = s[end + 7:end + 11]
if len(esc2) != 4:
raise ValueError(errmsg(msg, s, end))
uni2 = int(esc2, 16)
uni = 0x10000 + (((uni - 0xd800) << 10) | (uni2 - 0xdc00))
next_end += 6
char = unichr(uni)
end = next_end
_append(m)
# Append the unescaped character
_append(char)
return u''.join(chunks), end
# Use speedup
if c_scanstring is not None:
scanstring = c_scanstring
else:
scanstring = py_scanstring
# Use speedup if available
scanstring = c_scanstring or py_scanstring
def JSONString(match, context):
encoding = getattr(context, 'encoding', None)
strict = getattr(context, 'strict', True)
return scanstring(match.string, match.end(), encoding, strict)
pattern(r'"')(JSONString)
WHITESPACE = re.compile(r'[ \t\n\r]*', FLAGS)
WHITESPACE_STR = ' \t\n\r'
WHITESPACE = re.compile(r'\s*', FLAGS)
def JSONObject(match, context, _w=WHITESPACE.match):
def JSONObject((s, end), encoding, strict, scan_once, object_hook,
_w=WHITESPACE.match, _ws=WHITESPACE_STR):
pairs = {}
s = match.string
end = _w(s, match.end()).end()
# 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]
# Trivial empty object
if nextchar == '}':
return pairs, end + 1
# Normally we expect nextchar == '"'
if nextchar != '"':
raise ValueError(errmsg("Expecting property name", s, end))
if nextchar in _ws:
end = _w(s, end).end()
nextchar = s[end:end + 1]
# Trivial empty object
if nextchar == '}':
return pairs, end + 1
elif nextchar != '"':
raise ValueError(errmsg("Expecting property name", s, end))
end += 1
encoding = getattr(context, 'encoding', None)
strict = getattr(context, 'strict', True)
iterscan = JSONScanner.iterscan
while True:
key, end = scanstring(s, end, encoding, strict)
end = _w(s, end).end()
# To skip some function call overhead we optimize the fast paths where
# the JSON key separator is ": " or just ":".
if s[end:end + 1] != ':':
raise ValueError(errmsg("Expecting : delimiter", s, end))
end = _w(s, end + 1).end()
end = _w(s, end).end()
if s[end:end + 1] != ':':
raise ValueError(errmsg("Expecting : delimiter", s, end))
end += 1
try:
value, end = iterscan(s, idx=end, context=context).next()
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[key] = value
end = _w(s, end).end()
nextchar = s[end:end + 1]
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
if nextchar != ',':
elif nextchar != ',':
raise ValueError(errmsg("Expecting , delimiter", s, end - 1))
end = _w(s, end).end()
nextchar = s[end: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", 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):
def JSONArray((s, end), scan_once, _w=WHITESPACE.match, _ws=WHITESPACE_STR):
values = []
s = match.string
end = _w(s, match.end()).end()
# Look-ahead for trivial empty array
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
iterscan = JSONScanner.iterscan
_append = values.append
while True:
try:
value, end = iterscan(s, idx=end, context=context).next()
value, end = scan_once(s, end)
except StopIteration:
raise ValueError(errmsg("Expecting object", s, end))
values.append(value)
end = _w(s, end).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
if nextchar != ',':
elif nextchar != ',':
raise ValueError(errmsg("Expecting , delimiter", s, end))
end = _w(s, end).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
pattern(r'\[')(JSONArray)
ANYTHING = [
JSONObject,
JSONArray,
JSONString,
JSONConstant,
JSONNumber,
]
JSONScanner = Scanner(ANYTHING)
class JSONDecoder(object):
"""Simple JSON <http://json.org> decoder
@ -268,10 +285,8 @@ class JSONDecoder(object):
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, parse_float=None,
parse_int=None, parse_constant=None, strict=True):
@ -282,8 +297,8 @@ class JSONDecoder(object):
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
``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).
@ -298,21 +313,24 @@ class JSONDecoder(object):
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.
following strings: -Infinity, Infinity, NaN.
This can be used to raise an exception if invalid JSON numbers
are encountered.
"""
self.encoding = encoding
self.object_hook = object_hook
self.parse_float = parse_float
self.parse_int = parse_int
self.parse_constant = parse_constant
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 = make_scanner(self)
def decode(self, s, _w=WHITESPACE.match):
"""
Return the Python representation of ``s`` (a ``str`` or ``unicode``
"""Return the Python representation of ``s`` (a ``str`` or ``unicode``
instance containing a JSON document)
"""
@ -322,18 +340,17 @@ class JSONDecoder(object):
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
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.
"""
kw.setdefault('context', self)
try:
obj, end = self._scanner.iterscan(s, **kw).next()
obj, end = self.scan_once(s, idx)
except StopIteration:
raise ValueError("No JSON object could be decoded")
return obj, end

453
Lib/json/encoder.py
View File

@ -1,15 +1,15 @@
"""Implementation of JSONEncoder
"""
import re
import math
try:
from _json import encode_basestring_ascii as c_encode_basestring_ascii
except ImportError:
c_encode_basestring_ascii = None
__all__ = ['JSONEncoder']
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'([\\"]|[^\ -~])')
@ -25,30 +25,12 @@ ESCAPE_DCT = {
}
for i in range(0x20):
ESCAPE_DCT.setdefault(chr(i), '\\u{0:04x}'.format(i))
#ESCAPE_DCT.setdefault(chr(i), '\\u%04x' % (i,))
# Assume this produces an infinity on all machines (probably not guaranteed)
INFINITY = float('1e66666')
FLOAT_REPR = repr
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 math.isnan(o):
text = 'NaN'
elif math.isinf(o):
if math.copysign(1., o) == 1.:
text = 'Infinity'
else:
text = '-Infinity'
else:
return FLOAT_REPR(o)
if not allow_nan:
msg = "Out of range float values are not JSON compliant: " + repr(o)
raise ValueError(msg)
return text
def encode_basestring(s):
"""Return a JSON representation of a Python string
@ -59,6 +41,9 @@ def encode_basestring(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):
@ -69,20 +54,19 @@ def py_encode_basestring_ascii(s):
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)) + '"'
if c_encode_basestring_ascii is not None:
encode_basestring_ascii = c_encode_basestring_ascii
else:
encode_basestring_ascii = py_encode_basestring_ascii
encode_basestring_ascii = (
c_encode_basestring_ascii or py_encode_basestring_ascii)
class JSONEncoder(object):
"""Extensible JSON <http://json.org> encoder for Python data structures.
@ -113,7 +97,6 @@ class JSONEncoder(object):
implementation (to raise ``TypeError``).
"""
__all__ = ['__init__', 'default', 'encode', 'iterencode']
item_separator = ', '
key_separator = ': '
def __init__(self, skipkeys=False, ensure_ascii=True,
@ -121,25 +104,25 @@ class JSONEncoder(object):
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
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
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
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
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
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.
@ -161,175 +144,26 @@ class JSONEncoder(object):
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
if default is not None:
self.default = default
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 (_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 {0!r} is not a string".format(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 (_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``).
"""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::
For example, to support arbitrary iterators, you could
implement default like this::
def default(self, o):
try:
@ -364,12 +198,14 @@ class JSONEncoder(object):
# 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 = list(self.iterencode(o))
chunks = self.iterencode(o, _one_shot=True)
if not isinstance(chunks, (list, tuple)):
chunks = list(chunks)
return ''.join(chunks)
def iterencode(self, o):
"""Encode the given object and yield each string representation as
available.
def iterencode(self, o, _one_shot=False):
"""Encode the given object and yield each string
representation as available.
For example::
@ -381,4 +217,229 @@ class JSONEncoder(object):
markers = {}
else:
markers = None
return self._iterencode(o, markers)
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 not self.indent 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
False=False,
True=True,
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 = dct.items()
items.sort(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

115
Lib/json/scanner.py
View File

@ -1,69 +1,66 @@
"""Iterator based sre token scanner
"""JSON token scanner
"""
import re
import sre_parse
import sre_compile
import sre_constants
try:
from _json import make_scanner as c_make_scanner
except ImportError:
c_make_scanner = None
from re import VERBOSE, MULTILINE, DOTALL
from sre_constants import BRANCH, SUBPATTERN
__all__ = ['make_scanner']
__all__ = ['Scanner', 'pattern']
NUMBER_RE = re.compile(
r'(-?(?:0|[1-9]\d*))(\.\d+)?([eE][-+]?\d+)?',
(re.VERBOSE | re.MULTILINE | re.DOTALL))
FLAGS = (VERBOSE | MULTILINE | 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
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)
def _scan_once(string, idx):
try:
nextchar = string[idx]
except IndexError:
raise StopIteration
s.groups = len(p) + 1 # NOTE(guido): Added to make SRE validation work
p = sre_parse.SubPattern(s, [(BRANCH, (None, p))])
self.scanner = sre_compile.compile(p)
if nextchar == '"':
return parse_string(string, idx + 1, encoding, strict)
elif nextchar == '{':
return parse_object((string, idx + 1), encoding, strict,
_scan_once, object_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
def iterscan(self, string, idx=0, context=None):
"""Yield match, end_idx for each match
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
"""
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
return _scan_once
def pattern(pattern, flags=FLAGS):
def decorator(fn):
fn.pattern = pattern
fn.regex = re.compile(pattern, flags)
return fn
return decorator
make_scanner = c_make_scanner or py_make_scanner

30
Lib/json/tests/test_check_circular.py Normal file
View File

@ -0,0 +1,30 @@
from unittest import TestCase
import json
def default_iterable(obj):
return list(obj)
class TestCheckCircular(TestCase):
def test_circular_dict(self):
dct = {}
dct['a'] = dct
self.assertRaises(ValueError, json.dumps, dct)
def test_circular_list(self):
lst = []
lst.append(lst)
self.assertRaises(ValueError, json.dumps, lst)
def test_circular_composite(self):
dct2 = {}
dct2['a'] = []
dct2['a'].append(dct2)
self.assertRaises(ValueError, json.dumps, dct2)
def test_circular_default(self):
json.dumps([set()], default=default_iterable)
self.assertRaises(TypeError, json.dumps, [set()])
def test_circular_off_default(self):
json.dumps([set()], default=default_iterable, check_circular=False)
self.assertRaises(TypeError, json.dumps, [set()], check_circular=False)

7
Lib/json/tests/test_decode.py
View File

@ -13,3 +13,10 @@ class TestDecode(TestCase):
rval = json.loads('1', parse_int=float)
self.assert_(isinstance(rval, float))
self.assertEquals(rval, 1.0)
def test_decoder_optimizations(self):
# Several optimizations were made that skip over calls to
# the whitespace regex, so this test is designed to try and
# exercise the uncommon cases. The array cases are already covered.
rval = json.loads('{ "key" : "value" , "k":"v" }')
self.assertEquals(rval, {"key":"value", "k":"v"})

8
Lib/json/tests/test_dump.py
View File

@ -11,3 +11,11 @@ class TestDump(TestCase):
def test_dumps(self):
self.assertEquals(json.dumps({}), '{}')
def test_encode_truefalse(self):
self.assertEquals(json.dumps(
{True: False, False: True}, sort_keys=True),
'{"false": true, "true": false}')
self.assertEquals(json.dumps(
{2: 3.0, 4.0: 5L, False: 1, 6L: True, "7": 0}, sort_keys=True),
'{"false": 1, "2": 3.0, "4.0": 5, "6": true, "7": 0}')

6
Lib/json/tests/test_encode_basestring_ascii.py
View File

@ -26,10 +26,14 @@ class TestEncodeBaseStringAscii(TestCase):
self._test_encode_basestring_ascii(json.encoder.py_encode_basestring_ascii)
def test_c_encode_basestring_ascii(self):
if not json.encoder.c_encode_basestring_ascii:
return
self._test_encode_basestring_ascii(json.encoder.c_encode_basestring_ascii)
def _test_encode_basestring_ascii(self, encode_basestring_ascii):
fname = encode_basestring_ascii.__name__
for input_string, expect in CASES:
result = encode_basestring_ascii(input_string)
self.assertEquals(result, expect)
self.assertEquals(result, expect,
'{0!r} != {1!r} for {2}({3!r})'.format(
result, expect, fname, input_string))

2
Lib/json/tests/test_fail.py
View File

@ -73,4 +73,4 @@ class TestFail(TestCase):
except ValueError:
pass
else:
self.fail("Expected failure for fail%d.json: %r" % (idx, doc))
self.fail("Expected failure for fail{0}.json: {1!r}".format(idx, doc))

8
Lib/json/tests/test_float.py
View File

@ -5,5 +5,11 @@ import json
class TestFloat(TestCase):
def test_floats(self):
for num in [1617161771.7650001, math.pi, math.pi**100, math.pi**-100]:
for num in [1617161771.7650001, math.pi, math.pi**100, math.pi**-100, 3.1]:
self.assertEquals(float(json.dumps(num)), num)
self.assertEquals(json.loads(json.dumps(num)), num)
def test_ints(self):
for num in [1, 1L, 1<<32, 1<<64]:
self.assertEquals(json.dumps(num), str(num))
self.assertEquals(int(json.dumps(num)), num)

13
Lib/json/tests/test_unicode.py
View File

@ -51,5 +51,14 @@ class TestUnicode(TestCase):
def test_unicode_decode(self):
for i in range(0, 0xd7ff):
u = unichr(i)
js = '"\\u{0:04x}"'.format(i)
self.assertEquals(json.loads(js), u)
s = '"\\u{0:04x}"'.format(i)
self.assertEquals(json.loads(s), u)
def test_default_encoding(self):
self.assertEquals(json.loads(u'{"a": "\xe9"}'.encode('utf-8')),
{'a': u'\xe9'})
def test_unicode_preservation(self):
self.assertEquals(type(json.loads(u'""')), unicode)
self.assertEquals(type(json.loads(u'"a"')), unicode)
self.assertEquals(type(json.loads(u'["a"]')[0]), unicode)

6
Lib/json/tool.py
View File

@ -2,11 +2,11 @@ r"""Command-line tool to validate and pretty-print JSON
Usage::
$ echo '{"json":"obj"}' | python -mjson.tool
$ echo '{"json":"obj"}' | python -m json.tool
{
"json": "obj"
}
$ echo '{ 1.2:3.4}' | python -mjson.tool
$ echo '{ 1.2:3.4}' | python -m json.tool
Expecting property name: line 1 column 2 (char 2)
"""
@ -24,7 +24,7 @@ def main():
infile = open(sys.argv[1], 'rb')
outfile = open(sys.argv[2], 'wb')
else:
raise SystemExit("{0} [infile [outfile]]".format(sys.argv[0]))
raise SystemExit(sys.argv[0] + " [infile [outfile]]")
try:
obj = json.load(infile)
except ValueError, e:

1984
Modules/_json.c
View File

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