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File Name : __init__.cpython-310.pyc
o \Փa�\ � @ sX d Z ddlmZ dZg d�ZdZddlmZ ddlm Z dd l mZ dd lm Z ddlmZmZ dd � Ze� Zdd� Zed2i dd�dd�dd�dd�dd�dd�dd�dd�dd�dd�dd�dd�d d�d!d�d"d�d#d�d$d��a d3d%d&�Z d3d'd(�Ze dddd)�a d4d*d+�Z d5d,d-�Zd.d/� Zd0d1� ZdS )6a� 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:`simplejson` 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 back to Python 2.5 and (currently) has significant performance advantages, even without using the optional C extension for speedups. Encoding basic Python object hierarchies:: >>> import simplejson as 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 simplejson.compat import StringIO >>> io = StringIO() >>> json.dump(['streaming API'], io) >>> io.getvalue() '["streaming API"]' Compact encoding:: >>> import simplejson as json >>> obj = [1,2,3,{'4': 5, '6': 7}] >>> json.dumps(obj, separators=(',',':'), sort_keys=True) '[1,2,3,{"4":5,"6":7}]' Pretty printing:: >>> import simplejson as json >>> print(json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=' ')) { "4": 5, "6": 7 } Decoding JSON:: >>> import simplejson as json >>> obj = [u'foo', {u'bar': [u'baz', None, 1.0, 2]}] >>> json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]') == obj True >>> json.loads('"\\"foo\\bar"') == u'"foo\x08ar' True >>> from simplejson.compat import StringIO >>> io = StringIO('["streaming API"]') >>> json.load(io)[0] == 'streaming API' True Specializing JSON object decoding:: >>> import simplejson as json >>> def as_complex(dct): ... if '__complex__' in dct: ... return complex(dct['real'], dct['imag']) ... return dct ... >>> json.loads('{"__complex__": true, "real": 1, "imag": 2}', ... object_hook=as_complex) (1+2j) >>> from decimal import Decimal >>> json.loads('1.1', parse_float=Decimal) == Decimal('1.1') True Specializing JSON object encoding:: >>> import simplejson as json >>> def encode_complex(obj): ... if isinstance(obj, complex): ... return [obj.real, obj.imag] ... raise TypeError('Object of type %s is not JSON serializable' % ... obj.__class__.__name__) ... >>> json.dumps(2 + 1j, default=encode_complex) '[2.0, 1.0]' >>> json.JSONEncoder(default=encode_complex).encode(2 + 1j) '[2.0, 1.0]' >>> ''.join(json.JSONEncoder(default=encode_complex).iterencode(2 + 1j)) '[2.0, 1.0]' Using simplejson.tool from the shell to validate and pretty-print:: $ echo '{"json":"obj"}' | python -m simplejson.tool { "json": "obj" } $ echo '{ 1.2:3.4}' | python -m simplejson.tool Expecting property name: line 1 column 3 (char 2) Parsing multiple documents serialized as JSON lines (newline-delimited JSON):: >>> import simplejson as json >>> def loads_lines(docs): ... for doc in docs.splitlines(): ... yield json.loads(doc) ... >>> sum(doc["count"] for doc in loads_lines('{"count":1}\n{"count":2}\n{"count":3}\n')) 6 Serializing multiple objects to JSON lines (newline-delimited JSON):: >>> import simplejson as json >>> def dumps_lines(objs): ... for obj in objs: ... yield json.dumps(obj, separators=(',',':')) + '\n' ... >>> ''.join(dumps_lines([{'count': 1}, {'count': 2}, {'count': 3}])) '{"count":1}\n{"count":2}\n{"count":3}\n' � )�absolute_importz3.17.6) �dump�dumps�load�loads�JSONDecoder�JSONDecodeError�JSONEncoder�OrderedDict�simple_first�RawJSONzBob Ippolito <bob@redivi.com>)�Decimal� )r )r )r )r �JSONEncoderForHTMLc C s6 dd l } z| jW S ty ddlm} |j Y S w )Nr r )�ordered_dict)�collectionsr �AttributeError� r )r r � r �5/usr/lib/python3/dist-packages/simplejson/__init__.py�_import_OrderedDict� s �r c C s( z ddl m} | W S ty Y d S w )Nr ��make_encoder)Z _speedupsr �ImportErrorr r r r �_import_c_make_encoder� s �r �skipkeysF�ensure_asciiT�check_circular� allow_nan�indentN� separators�encoding�utf-8�default�use_decimal�namedtuple_as_object�tuple_as_array�iterable_as_array�bigint_as_string� item_sort_key�for_json� ignore_nan�int_as_string_bitcountc K s |s:|r:|r:|r:|du r:|du r:|du r:| dkr:| du r:|r:|r:| r:|s:|s:|s:|s:|s:|s:|du r:|s:t �| �}nF|du r@t}|di d|�d|�d|�d|�d|�d|�d | �d | �d|�d|�d | �d|�d|�d|�d|�d|�d|�d|�|���| �}|D ]}|�|� q�dS )a� 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``, ``int``, ``long``, ``float``, ``bool``, ``None``) will be skipped instead of raising a ``TypeError``. If *ensure_ascii* is false (default: ``True``), then the output may contain non-ASCII characters, so long as they do not need to be escaped by JSON. When it is true, all non-ASCII characters are escaped. 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 original JSON specification, instead of using the JavaScript equivalents (``NaN``, ``Infinity``, ``-Infinity``). See *ignore_nan* for ECMA-262 compliant behavior. If *indent* is a string, then JSON array elements and object members will be pretty-printed with a newline followed by that string repeated for each level of nesting. ``None`` (the default) selects the most compact representation without any newlines. If specified, *separators* should be an ``(item_separator, key_separator)`` tuple. The default is ``(', ', ': ')`` if *indent* is ``None`` and ``(',', ': ')`` otherwise. To get the most compact JSON representation, you should specify ``(',', ':')`` to eliminate whitespace. *encoding* is the character encoding for str instances, default is UTF-8. *default(obj)* is a function that should return a serializable version of obj or raise ``TypeError``. The default simply raises ``TypeError``. If *use_decimal* is true (default: ``True``) then decimal.Decimal will be natively serialized to JSON with full precision. If *namedtuple_as_object* is true (default: ``True``), :class:`tuple` subclasses with ``_asdict()`` methods will be encoded as JSON objects. If *tuple_as_array* is true (default: ``True``), :class:`tuple` (and subclasses) will be encoded as JSON arrays. If *iterable_as_array* is true (default: ``False``), any object not in the above table that implements ``__iter__()`` will be encoded as a JSON array. If *bigint_as_string* is true (default: ``False``), ints 2**53 and higher or lower than -2**53 will be encoded as strings. This is to avoid the rounding that happens in Javascript otherwise. Note that this is still a lossy operation that will not round-trip correctly and should be used sparingly. If *int_as_string_bitcount* is a positive number (n), then int of size greater than or equal to 2**n or lower than or equal to -2**n will be encoded as strings. If specified, *item_sort_key* is a callable used to sort the items in each dictionary. This is useful if you want to sort items other than in alphabetical order by key. This option takes precedence over *sort_keys*. If *sort_keys* is true (default: ``False``), the output of dictionaries will be sorted by item. If *for_json* is true (default: ``False``), objects with a ``for_json()`` method will use the return value of that method for encoding as JSON instead of the object. If *ignore_nan* is true (default: ``False``), then out of range :class:`float` values (``nan``, ``inf``, ``-inf``) will be serialized as ``null`` in compliance with the ECMA-262 specification. If true, this will override *allow_nan*. To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the ``.default()`` method to serialize additional types), specify it with the ``cls`` kwarg. NOTE: You should use *default* or *for_json* instead of subclassing whenever possible. Nr"