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 Z d1 d1 d1 d1 d1 d1 d1 e d.  Z d/   Z d0   Z d1 S(2   s  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'

i    (   t   absolute_imports   3.17.0t   dumpt   dumpst   loadt   loadst   JSONDecodert   JSONDecodeErrort   JSONEncodert   OrderedDictt   simple_firstt   RawJSONs   Bob Ippolito <bob@redivi.com>(   t   Decimali   (   R   (   R
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    ``.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
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    To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the
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    If ``skipkeys`` is false 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
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    for container types will be skipped and a circular reference will
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    will be natively serialized to JSON with full precision.

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    :class:`tuple` subclasses with ``_asdict()`` methods will be encoded
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    :class:`tuple` (and subclasses) will be encoded as JSON arrays.

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    any object not in the above table that implements ``__iter__()``
    will be encoded as a JSON array.

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    each dictionary. This is useful if you want to sort items other than
    in alphabetical order by key. This option takes precendence over
    *sort_keys*.

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    will be sorted by item.

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    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
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    the ``cls`` kwarg. NOTE: You should use *default* instead of subclassing
    whenever possible.

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    a JSON document as `str` or `bytes`) to a Python object.

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    following strings: ``'-Infinity'``, ``'Infinity'``, ``'NaN'``.  This
    can be used to raise an exception if invalid JSON numbers are
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    parse_float=decimal.Decimal for parity with ``dump``.

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    kwarg. NOTE: You should use *object_hook* or *object_pairs_hook* instead
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      K@  sH  | d k ro | d k ro | d k ro | d k ro | d k ro | d k ro | d k ro | ro |	 ro t j |   S| d k r t } n  | d k	 r | |	 d <n  | d k	 r | |	 d <n  | d k	 r | |	 d <n  | d k	 r | |	 d <n  | d k	 r| |	 d <n  | r/| d k	 r"t d   n  t |	 d <n  | d | |	  j |   S(	   s  Deserialize ``s`` (a ``str`` or ``unicode`` instance containing a JSON
    document) to a Python object.

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    can be used to raise an exception if invalid JSON numbers are
    encountered.

    If *use_decimal* is true (default: ``False``) then it implies
    parse_float=decimal.Decimal for parity with ``dump``.

    To use a custom ``JSONDecoder`` subclass, specify it with the ``cls``
    kwarg. NOTE: You should use *object_hook* or *object_pairs_hook* instead
    of subclassing whenever possible.

    R3   R4   R5   R6   R7   s,   use_decimal=True implies parse_float=DecimalR   N(   R   t   _default_decodert   decodeR   t	   TypeErrorR   (
   t   sR   R.   R3   R5   R6   R7   R4   R   R/   (    (    s5   /tmp/pip-unpacked-wheel-9xjeDh/simplejson/__init__.pyR     s,    /$	c         C@  s  d d l  m } d d l  m } d d l  m } t   } |  r | j pN | j | _ | | _ | j	 pl | j
 | _ | j p | j | _ n- | j | _ d  | _ | j
 | _ | j | _ | j | _ t d d  d d  d d   a t d t d	 t d
 t d t d d  d d  d d d d   a d  S(   Ni   (   t   decoder(   t   encoder(   t   scannerR   R3   R4   R   R   R   R   R   R   s   utf-8R   (   R   R=   R>   R?   R   t   c_scanstringt   py_scanstringt
   scanstringt   c_make_encodert   c_encode_basestring_asciit   py_encode_basestring_asciit   encode_basestring_asciit   c_make_scannert   py_make_scannert   make_scannerR   R   R9   R   t   Falset   TrueR)   (   t   enabledt   dect   enct   scanRC   (    (    s5   /tmp/pip-unpacked-wheel-9xjeDh/simplejson/__init__.pyt   _toggle_speedups!  s8    					c         C@  s$   t  |  d t t t f  |  d f S(   sn   Helper function to pass to item_sort_key to sort simple
    elements to the top, then container elements.
    i   i    (   t
   isinstancet   listt   dictt   tuple(   t   kv(    (    s5   /tmp/pip-unpacked-wheel-9xjeDh/simplejson/__init__.pyR	   D  s    N(   t   __doc__t
   __future__R    t   __version__t   __all__t
   __author__t   decimalR   t   errorsR   t   raw_jsonR
   R=   R   R>   R   R   R   R   R   RJ   RK   R   R)   R   R   R9   R   R   RP   R	   (    (    (    s5   /tmp/pip-unpacked-wheel-9xjeDh/simplejson/__init__.pyt   <module>w   sp   									t				s		5	E	#