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"description": ":Author: John Millikin\r\n:Copyright: This document has been placed in the public domain.\r\n\r\nOverview\r\n========\r\n\r\n`JSON `_ is a lightweight data-interchange format. It\r\nis often used for exchanging data between a web server and user agent.\r\n\r\nThis module aims to produce a library for serializing and deserializing\r\nJSON that conforms strictly to RFC 4627.\r\n\r\nFor the Python 3 version of jsonlib, see `jsonlib-python3\r\n`_.\r\n\r\nOther JSON implementations of interest include `simplejson\r\n`_ (available in the standard library as\r\nof Python 2.6) and `demjson `_.\r\n\r\n.. contents::\r\n\r\nUsage\r\n=====\r\n\r\njsonlib has two functions of interest, ``read`` and ``write``. It also\r\ndefines some exception: ``ReadError``, ``WriteError``, and\r\n``UnknownSerializerError``.\r\n\r\nFor compatibility with the standard library, ``read`` is aliased to\r\n``loads`` and ``write`` is aliased to ``dumps``. They do not have the\r\nsame set of advanced parameters, but may be used interchangeably for\r\nsimple invocations.\r\n\r\nDeserialization\r\n---------------\r\n\r\nTo deserialize a JSON expression, call the ``jsonlib.read`` function with\r\nan instance of ``unicode`` or ``bytes``. ::\r\n\r\n\t>>> import jsonlib\r\n\t>>> jsonlib.read (b'[\"Hello world!\"]')\r\n\t[u'Hello world!']\r\n\r\nFloating-point values\r\n~~~~~~~~~~~~~~~~~~~~~\r\n\r\nBy default, ``jsonlib`` will parse values such as \"1.1\" into an instance of\r\n``decimal.Decimal``. To use the built-in value type ``float`` instead, set\r\nthe ``use_float`` parameter to ``True``. ``float`` values are much faster to\r\nconstruct, so this flag may substantially increase parser performance.\r\n\r\nPlease note that using ``float`` will cause a loss of precision when\r\nparsing some values. ::\r\n\r\n\t>>> jsonlib.read ('[3.14159265358979323846]', use_float = True)\r\n\t[3.1415926535897931]\r\n\r\nSerialization\r\n-------------\r\n\r\nSerialization has more options, but they are set to reasonable defaults.\r\nThe simplest use is to call ``jsonlib.write`` with a Python value. ::\r\n\r\n\t>>> import jsonlib\r\n\t>>> jsonlib.write (['Hello world!'])\r\n\t'[\"Hello world!\"]'\r\n\r\nPretty-Printing\r\n~~~~~~~~~~~~~~~\r\n\r\nTo \"pretty-print\" the output, pass a value for the ``indent`` parameter. ::\r\n\r\n\t>>> print (jsonlib.write (['Hello world!'], indent = ' ').decode ('utf8'))\r\n\t[\r\n\t \"Hello world!\"\r\n\t]\r\n\t>>> \r\n\t\r\nMapping Key Sorting\r\n~~~~~~~~~~~~~~~~~~~\r\n\r\nBy default, mapping keys are serialized in whatever order they are\r\nstored by Python. To force a consistent ordering (for example, in doctests)\r\nuse the ``sort_keys`` parameter. ::\r\n\r\n\t>>> jsonlib.write ({'e': 'Hello', 'm': 'World!'})\r\n\t'{\"m\":\"World!\",\"e\":\"Hello\"}'\r\n\t>>> jsonlib.write ({'e': 'Hello', 'm': 'World!'}, sort_keys = True)\r\n\t'{\"e\":\"Hello\",\"m\":\"World!\"}'\r\n\r\nEncoding and Unicode\r\n~~~~~~~~~~~~~~~~~~~~\r\n\r\nBy default, the output is encoded in UTF-8. If you require a different\r\nencoding, pass the name of a Python codec as the ``encoding`` parameter. ::\r\n\r\n\t>>> jsonlib.write (['Hello world!'], encoding = 'utf-16-be')\r\n\t'\\x00[\\x00\"\\x00H\\x00e\\x00l\\x00l\\x00o\\x00 \\x00w\\x00o\\x00r\\x00l\\x00d\\x00!\\x00\"\\x00]'\r\n\r\nTo retrieve an unencoded ``unicode`` instance, pass ``None`` for the\r\nencoding. ::\r\n\r\n\t>>> jsonlib.write (['Hello world!'], encoding = None)\r\n\tu'[\"Hello world!\"]'\r\n\r\nBy default, non-ASCII codepoints are forbidden in the output. To include\r\nhigher codepoints in the output, set ``ascii_only`` to ``False``. ::\r\n\r\n\t>>> jsonlib.write ([u'Hello \\u266a'], encoding = None)\r\n\tu'[\"Hello \\\\u266a\"]'\r\n\t>>> jsonlib.write ([u'Hello \\u266a'], encoding = None, ascii_only = False)\r\n\tu'[\"Hello \\u266a\"]'\r\n\r\nMapping Key Coercion\r\n~~~~~~~~~~~~~~~~~~~~\r\n\r\nBecause JSON objects must have string keys, an exception will be raised when\r\nnon-string keys are encountered in a mapping. It can be useful to coerce\r\nmapping keys to strings, so the ``coerce_keys`` parameter is available. ::\r\n\r\n\t>>> jsonlib.write ({True: 1})\r\n\tTraceback (most recent call last):\r\n\tWriteError: Only strings may be used as object keys.\r\n\t>>> jsonlib.write ({True: 1}, coerce_keys = True)\r\n\t'{\"True\":1}'\r\n\r\nSerializing Other Types\r\n~~~~~~~~~~~~~~~~~~~~~~~\r\n\r\nIf the object implements the iterator or mapping protocol, it will be\r\nhandled automatically. If the object is intended for use as a basic value,\r\nit should subclass one of the supported basic values.\r\n\r\nString-like objects that do not inherit from ``unicode`` or\r\n``UserString.UserString`` will likely be serialized as a list. This will\r\nnot be changed. If iterating them returns an instance of the same type, the\r\nserializer might crash. This (hopefully) will be changed.\r\n\r\nTo serialize a type not known to jsonlib, use the ``on_unknown`` parameter\r\nto ``write``::\r\n\r\n\t>>> from datetime import date\r\n\t>>> def unknown_handler (value):\r\n\t... if isinstance (value, date):\r\n\t... return str (value)\r\n\t... raise jsonlib.UnknownSerializerError\r\n\t>>> jsonlib.write ([date (2000, 1, 1)], on_unknown = unknown_handler)\r\n\t'[\"2000-01-01\"]'\r\n\r\nStreaming Serializer\r\n~~~~~~~~~~~~~~~~~~~~\r\n\r\nWhen serializing large objects, the use of an in-memory buffer may cause\r\ntoo much memory to be used. For these situations, use the ``dump`` function\r\nto write objects to a file-like object::\r\n\r\n\t>>> import sys\r\n\t>>> jsonlib.dump ([\"Written to stdout\"], sys.stdout, encoding = None)\r\n\t[\"Written to stdout\"]\r\n\t>>> with open (\"/dev/null\", \"wb\") as out:\r\n\t... jsonlib.dump ([\"Written to a file\"], out)\r\n\t>>> \r\n\r\nExceptions\r\n-----------\r\n\r\nReadError\r\n~~~~~~~~~\r\n\r\nRaised by ``read`` if an error was encountered parsing the expression. Will\r\ncontain the line, column, and character position of the error.\r\n\r\nNote that this will report the *character*, not the *byte*, of the character\r\nthat caused the error.\r\n\r\nWriteError\r\n~~~~~~~~~~\r\n\r\nRaised by ``write`` or ``dump`` if an error was encountered serializing\r\nthe passed value.\r\n\r\nUnknownSerializerError\r\n~~~~~~~~~~~~~~~~~~~~~~\r\n\r\nA subclass of ``WriteError`` that is raised when a value cannot be\r\nserialized. See the ``on_unknown`` parameter to ``write``.\r\n\r\n\r\nChange Log\r\n==========\r\n\r\n1.6.1\r\n-----\r\n* Fixed error in `write()` which could cause output truncation.\r\n\r\n1.6\r\n---\r\n* Performance improvements\r\n* ``coerce_keys`` no longer attempts to determine the \"JSON\" format for\r\n a coerced value -- it will simply call ``unicode()``.",
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