Modify framebuffer and NGA framebuffer to read screen size from board model dtb file. Optimise memory usuage of frame buffer
Add example minigui application with hooks to profiler (which writes results to S:\). Modified NGA framebuffer to run its own dfc queue at high priority
:mod:`json` --- JSON encoder and decoder
========================================
.. module:: json
:synopsis: Encode and decode the JSON format.
.. moduleauthor:: Bob Ippolito <bob@redivi.com>
.. sectionauthor:: Bob Ippolito <bob@redivi.com>
.. versionadded:: 2.6
JSON (JavaScript Object Notation) <http://json.org> is a subset of JavaScript
syntax (ECMA-262 3rd edition) used as a lightweight data interchange format.
:mod:`json` exposes an API familiar to users of the standard library
:mod:`marshal` and :mod:`pickle` modules.
Encoding basic Python object hierarchies::
>>> import json
>>> json.dumps(['foo', {'bar': ('baz', None, 1.0, 2)}])
'["foo", {"bar": ["baz", null, 1.0, 2]}]'
>>> print json.dumps("\"foo\bar")
"\"foo\bar"
>>> print json.dumps(u'\u1234')
"\u1234"
>>> print json.dumps('\\')
"\\"
>>> print json.dumps({"c": 0, "b": 0, "a": 0}, sort_keys=True)
{"a": 0, "b": 0, "c": 0}
>>> from StringIO import StringIO
>>> io = StringIO()
>>> json.dump(['streaming API'], io)
>>> io.getvalue()
'["streaming API"]'
Compact encoding::
>>> import json
>>> json.dumps([1,2,3,{'4': 5, '6': 7}], separators=(',',':'))
'[1,2,3,{"4":5,"6":7}]'
Pretty printing::
>>> import json
>>> print json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=4)
{
"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'
>>> from StringIO import StringIO
>>> io = StringIO('["streaming API"]')
>>> json.load(io)
[u'streaming API']
Specializing JSON object decoding::
>>> import json
>>> def as_complex(dct):
... if '__complex__' in dct:
... return complex(dct['real'], dct['imag'])
... return dct
...
>>> json.loads('{"__complex__": true, "real": 1, "imag": 2}',
... object_hook=as_complex)
(1+2j)
>>> import decimal
>>> json.loads('1.1', parse_float=decimal.Decimal)
Decimal('1.1')
Extending :class:`JSONEncoder`::
>>> 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)
...
>>> 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', ']']
.. highlight:: none
Using json.tool from the shell to validate and pretty-print::
$ echo '{"json":"obj"}' | python -mjson.tool
{
"json": "obj"
}
$ echo '{ 1.2:3.4}' | python -mjson.tool
Expecting property name: line 1 column 2 (char 2)
.. highlight:: python
.. note::
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.
Basic Usage
-----------
.. function:: dump(obj, fp[, skipkeys[, ensure_ascii[, check_circular[, allow_nan[, cls[, indent[, separators[, encoding[, default[, **kw]]]]]]]]]])
Serialize *obj* as a JSON formatted stream to *fp* (a ``.write()``-supporting
file-like object).
If *skipkeys* is ``True`` (default: ``False``), then dict keys that are not
of a basic type (:class:`str`, :class:`unicode`, :class:`int`, :class:`long`,
:class:`float`, :class:`bool`, ``None``) will be skipped instead of raising a
:exc:`TypeError`.
If *ensure_ascii* is ``False`` (default: ``True``), then some chunks written
to *fp* may be :class:`unicode` instances, subject to normal Python
:class:`str` to :class:`unicode` coercion rules. Unless ``fp.write()``
explicitly understands :class:`unicode` (as in :func:`codecs.getwriter`) this
is likely to cause an error.
If *check_circular* is ``False`` (default: ``True``), then the circular
reference check for container types will be skipped and a circular reference
will result in an :exc:`OverflowError` (or worse).
If *allow_nan* is ``False`` (default: ``True``), then it will be a
:exc:`ValueError` to serialize out of range :class:`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`` (the default) selects the most compact
representation.
If *separators* is an ``(item_separator, dict_separator)`` tuple, then it
will be used instead of the default ``(', ', ': ')`` separators. ``(',',
':')`` is the most compact JSON representation.
*encoding* is the character encoding for str instances, default is UTF-8.
*default(obj)* is a function that should return a serializable version of
*obj* or raise :exc:`TypeError`. The default simply raises :exc:`TypeError`.
To use a custom :class:`JSONEncoder`` subclass (e.g. one that overrides the
:meth:`default` method to serialize additional types), specify it with the
*cls* kwarg.
.. function:: dumps(obj[, skipkeys[, ensure_ascii[, check_circular[, allow_nan[, cls[, indent[, separators[, encoding[, default[, **kw]]]]]]]]]])
Serialize *obj* to a JSON formatted :class:`str`.
If *ensure_ascii* is ``False``, then the return value will be a
:class:`unicode` instance. The other arguments have the same meaning as in
:func:`dump`.
.. function load(fp[, encoding[, cls[, object_hook[, parse_float[, parse_int[, parse_constant[, **kw]]]]]]])
Deserialize *fp* (a ``.read()``-supporting file-like object containing a JSON
document) to a Python object.
If the contents of *fp* are 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 :class:`unicode` object and passed to :func:`loads`.
*object_hook* is an optional function that will be called with the result of
any object literal decode (a :class:`dict`). The return value of
*object_hook* will be used instead of the :class:`dict`. This feature can be used
to implement custom decoders (e.g. JSON-RPC class hinting).
*parse_float*, if specified, will be called with the string of every JSON
float to be decoded. By default, this is equivalent to ``float(num_str)``.
This can be used to use another datatype or parser for JSON floats
(e.g. :class:`decimal.Decimal`).
*parse_int*, if specified, will be called with the string of every JSON int
to be decoded. By default, this is equivalent to ``int(num_str)``. This can
be used to use another datatype or parser for JSON integers
(e.g. :class:`float`).
*parse_constant*, if specified, will be called with one of the following
strings: ``'-Infinity'``, ``'Infinity'``, ``'NaN'``, ``'null'``, ``'true'``,
``'false'``. This can be used to raise an exception if invalid JSON numbers
are encountered.
To use a custom :class:`JSONDecoder` subclass, specify it with the ``cls``
kwarg. Additional keyword arguments will be passed to the constructor of the
class.
.. function loads(s[, encoding[, cls[, object_hook[, parse_float[, parse_int[, parse_constant[, **kw]]]]]]])
Deserialize *s* (a :class:`str` or :class:`unicode` instance containing a JSON
document) to a Python object.
If *s* is a :class:`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 :class:`unicode` first.
The other arguments have the same meaning as in :func:`dump`.
Encoders and decoders
---------------------
.. class:: JSONDecoder([encoding[, object_hook[, parse_float[, parse_int[, parse_constant[, strict]]]]]])
Simple JSON decoder.
Performs the following translations in decoding by default:
+---------------+-------------------+
| JSON | Python |
+===============+===================+
| object | dict |
+---------------+-------------------+
| array | list |
+---------------+-------------------+
| string | unicode |
+---------------+-------------------+
| number (int) | int, long |
+---------------+-------------------+
| number (real) | float |
+---------------+-------------------+
| true | True |
+---------------+-------------------+
| false | False |
+---------------+-------------------+
| null | None |
+---------------+-------------------+
It also understands ``NaN``, ``Infinity``, and ``-Infinity`` as their
corresponding ``float`` values, which is outside the JSON spec.
*encoding* determines the encoding used to interpret any :class:`str` objects
decoded by this instance (UTF-8 by default). It has no effect when decoding
:class:`unicode` objects.
Note that currently only encodings that are a superset of ASCII work, strings
of other encodings should be passed in as :class:`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
:class:`dict`. This can be used to provide custom deserializations (e.g. to
support JSON-RPC class hinting).
*parse_float*, if specified, will be called with the string of every JSON
float to be decoded. By default, this is equivalent to ``float(num_str)``.
This can be used to use another datatype or parser for JSON floats
(e.g. :class:`decimal.Decimal`).
*parse_int*, if specified, will be called with the string of every JSON int
to be decoded. By default, this is equivalent to ``int(num_str)``. This can
be used to use another datatype or parser for JSON integers
(e.g. :class:`float`).
*parse_constant*, if specified, will be called with one of the following
strings: ``'-Infinity'``, ``'Infinity'``, ``'NaN'``, ``'null'``, ``'true'``,
``'false'``. This can be used to raise an exception if invalid JSON numbers
are encountered.
.. method:: decode(s)
Return the Python representation of *s* (a :class:`str` or
:class:`unicode` instance containing a JSON document)
.. method:: raw_decode(s)
Decode a JSON document from *s* (a :class:`str` or :class:`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.
.. class:: JSONEncoder([skipkeys[, ensure_ascii[, check_circular[, allow_nan[, sort_keys[, indent[, separators[, encoding[, default]]]]]]]]])
Extensible JSON encoder for Python data structures.
Supports the following objects and types by default:
+-------------------+---------------+
| Python | JSON |
+===================+===============+
| dict | object |
+-------------------+---------------+
| list, tuple | array |
+-------------------+---------------+
| str, unicode | string |
+-------------------+---------------+
| int, long, float | number |
+-------------------+---------------+
| True | true |
+-------------------+---------------+
| False | false |
+-------------------+---------------+
| None | null |
+-------------------+---------------+
To extend this to recognize other objects, subclass and implement a
:meth:`default` method with another method that returns a serializable object
for ``o`` if possible, otherwise it should call the superclass implementation
(to raise :exc:`TypeError`).
If *skipkeys* is ``False`` (the default), then it is a :exc:`TypeError` to
attempt encoding of keys that are not str, int, long, float or None. If
*skipkeys* is ``True``, such items are simply skipped.
If *ensure_ascii* is ``True`` (the default), the output is guaranteed to be
:class:`str` objects with all incoming unicode characters escaped. If
*ensure_ascii* is ``False``, the output will be a unicode object.
If *check_circular* is ``True`` (the default), then lists, dicts, and custom
encoded objects will be checked for circular references during encoding to
prevent an infinite recursion (which would cause an :exc:`OverflowError`).
Otherwise, no such check takes place.
If *allow_nan* is ``True`` (the default), 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 :exc:`ValueError` to encode
such floats.
If *sort_keys* is ``True`` (the default), 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 (it is ``None`` by default), 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 an ``(item_separator, key_separator)``
tuple. The default is ``(', ', ': ')``. To get the most compact JSON
representation, you should specify ``(',', ':')`` to eliminate whitespace.
If specified, *default* is a function that gets called for objects that can't
otherwise be serialized. It should return a JSON encodable version of the
object or raise a :exc:`TypeError`.
If *encoding* is not ``None``, then all input strings will be transformed
into unicode using that encoding prior to JSON-encoding. The default is
UTF-8.
.. method:: default(o)
Implement this method in a subclass such that it returns a serializable
object for *o*, or calls the base implementation (to raise a
:exc:`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)
.. method:: encode(o)
Return a JSON string representation of a Python data structure, *o*. For
example::
>>> JSONEncoder().encode({"foo": ["bar", "baz"]})
'{"foo": ["bar", "baz"]}'
.. method:: iterencode(o)
Encode the given object, *o*, and yield each string representation as
available. For example::
for chunk in JSONEncoder().iterencode(bigobject):
mysocket.write(chunk)