[2] | 1 | """Implementation of JSONEncoder
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| 2 | """
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| 3 | import re
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| 4 |
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| 5 | try:
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| 6 | from _json import encode_basestring_ascii as c_encode_basestring_ascii
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| 7 | except ImportError:
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| 8 | c_encode_basestring_ascii = None
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[391] | 9 | try:
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| 10 | from _json import make_encoder as c_make_encoder
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| 11 | except ImportError:
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| 12 | c_make_encoder = None
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[2] | 13 |
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| 14 | ESCAPE = re.compile(r'[\x00-\x1f\\"\b\f\n\r\t]')
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| 15 | ESCAPE_ASCII = re.compile(r'([\\"]|[^\ -~])')
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| 16 | HAS_UTF8 = re.compile(r'[\x80-\xff]')
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| 17 | ESCAPE_DCT = {
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| 18 | '\\': '\\\\',
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| 19 | '"': '\\"',
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| 20 | '\b': '\\b',
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| 21 | '\f': '\\f',
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| 22 | '\n': '\\n',
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| 23 | '\r': '\\r',
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| 24 | '\t': '\\t',
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| 25 | }
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| 26 | for i in range(0x20):
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| 27 | ESCAPE_DCT.setdefault(chr(i), '\\u{0:04x}'.format(i))
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[391] | 28 | #ESCAPE_DCT.setdefault(chr(i), '\\u%04x' % (i,))
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[2] | 29 |
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[391] | 30 | INFINITY = float('inf')
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[2] | 31 | FLOAT_REPR = repr
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| 32 |
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| 33 | def encode_basestring(s):
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| 34 | """Return a JSON representation of a Python string
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| 35 |
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| 36 | """
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| 37 | def replace(match):
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| 38 | return ESCAPE_DCT[match.group(0)]
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| 39 | return '"' + ESCAPE.sub(replace, s) + '"'
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| 40 |
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| 41 |
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| 42 | def py_encode_basestring_ascii(s):
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[391] | 43 | """Return an ASCII-only JSON representation of a Python string
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| 44 |
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| 45 | """
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[2] | 46 | if isinstance(s, str) and HAS_UTF8.search(s) is not None:
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| 47 | s = s.decode('utf-8')
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| 48 | def replace(match):
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| 49 | s = match.group(0)
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| 50 | try:
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| 51 | return ESCAPE_DCT[s]
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| 52 | except KeyError:
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| 53 | n = ord(s)
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| 54 | if n < 0x10000:
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| 55 | return '\\u{0:04x}'.format(n)
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[391] | 56 | #return '\\u%04x' % (n,)
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[2] | 57 | else:
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| 58 | # surrogate pair
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| 59 | n -= 0x10000
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| 60 | s1 = 0xd800 | ((n >> 10) & 0x3ff)
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| 61 | s2 = 0xdc00 | (n & 0x3ff)
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| 62 | return '\\u{0:04x}\\u{1:04x}'.format(s1, s2)
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[391] | 63 | #return '\\u%04x\\u%04x' % (s1, s2)
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[2] | 64 | return '"' + str(ESCAPE_ASCII.sub(replace, s)) + '"'
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| 65 |
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| 66 |
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[391] | 67 | encode_basestring_ascii = (
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| 68 | c_encode_basestring_ascii or py_encode_basestring_ascii)
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[2] | 69 |
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| 70 | class JSONEncoder(object):
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| 71 | """Extensible JSON <http://json.org> encoder for Python data structures.
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| 72 |
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| 73 | Supports the following objects and types by default:
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| 74 |
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| 75 | +-------------------+---------------+
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| 76 | | Python | JSON |
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| 77 | +===================+===============+
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| 78 | | dict | object |
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| 79 | +-------------------+---------------+
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| 80 | | list, tuple | array |
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| 81 | +-------------------+---------------+
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| 82 | | str, unicode | string |
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| 83 | +-------------------+---------------+
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| 84 | | int, long, float | number |
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| 85 | +-------------------+---------------+
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| 86 | | True | true |
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| 87 | +-------------------+---------------+
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| 88 | | False | false |
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| 89 | +-------------------+---------------+
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| 90 | | None | null |
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| 91 | +-------------------+---------------+
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| 92 |
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| 93 | To extend this to recognize other objects, subclass and implement a
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| 94 | ``.default()`` method with another method that returns a serializable
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| 95 | object for ``o`` if possible, otherwise it should call the superclass
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| 96 | implementation (to raise ``TypeError``).
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| 97 |
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| 98 | """
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| 99 | item_separator = ', '
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| 100 | key_separator = ': '
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| 101 | def __init__(self, skipkeys=False, ensure_ascii=True,
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| 102 | check_circular=True, allow_nan=True, sort_keys=False,
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| 103 | indent=None, separators=None, encoding='utf-8', default=None):
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| 104 | """Constructor for JSONEncoder, with sensible defaults.
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| 105 |
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[391] | 106 | If skipkeys is false, then it is a TypeError to attempt
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[2] | 107 | encoding of keys that are not str, int, long, float or None. If
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| 108 | skipkeys is True, such items are simply skipped.
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| 109 |
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[391] | 110 | If *ensure_ascii* is true (the default), all non-ASCII
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| 111 | characters in the output are escaped with \uXXXX sequences,
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| 112 | and the results are str instances consisting of ASCII
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| 113 | characters only. If ensure_ascii is False, a result may be a
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| 114 | unicode instance. This usually happens if the input contains
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| 115 | unicode strings or the *encoding* parameter is used.
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[2] | 116 |
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[391] | 117 | If check_circular is true, then lists, dicts, and custom encoded
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[2] | 118 | objects will be checked for circular references during encoding to
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| 119 | prevent an infinite recursion (which would cause an OverflowError).
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| 120 | Otherwise, no such check takes place.
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| 121 |
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[391] | 122 | If allow_nan is true, then NaN, Infinity, and -Infinity will be
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[2] | 123 | encoded as such. This behavior is not JSON specification compliant,
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| 124 | but is consistent with most JavaScript based encoders and decoders.
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| 125 | Otherwise, it will be a ValueError to encode such floats.
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| 126 |
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[391] | 127 | If sort_keys is true, then the output of dictionaries will be
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[2] | 128 | sorted by key; this is useful for regression tests to ensure
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| 129 | that JSON serializations can be compared on a day-to-day basis.
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| 130 |
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| 131 | If indent is a non-negative integer, then JSON array
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| 132 | elements and object members will be pretty-printed with that
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| 133 | indent level. An indent level of 0 will only insert newlines.
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[391] | 134 | None is the most compact representation. Since the default
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| 135 | item separator is ', ', the output might include trailing
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| 136 | whitespace when indent is specified. You can use
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| 137 | separators=(',', ': ') to avoid this.
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[2] | 138 |
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| 139 | If specified, separators should be a (item_separator, key_separator)
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| 140 | tuple. The default is (', ', ': '). To get the most compact JSON
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| 141 | representation you should specify (',', ':') to eliminate whitespace.
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| 142 |
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| 143 | If specified, default is a function that gets called for objects
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| 144 | that can't otherwise be serialized. It should return a JSON encodable
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| 145 | version of the object or raise a ``TypeError``.
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| 146 |
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| 147 | If encoding is not None, then all input strings will be
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| 148 | transformed into unicode using that encoding prior to JSON-encoding.
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| 149 | The default is UTF-8.
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| 150 |
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| 151 | """
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[391] | 152 |
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[2] | 153 | self.skipkeys = skipkeys
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| 154 | self.ensure_ascii = ensure_ascii
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| 155 | self.check_circular = check_circular
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| 156 | self.allow_nan = allow_nan
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| 157 | self.sort_keys = sort_keys
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| 158 | self.indent = indent
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| 159 | if separators is not None:
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| 160 | self.item_separator, self.key_separator = separators
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| 161 | if default is not None:
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| 162 | self.default = default
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| 163 | self.encoding = encoding
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| 164 |
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[391] | 165 | def default(self, o):
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| 166 | """Implement this method in a subclass such that it returns
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| 167 | a serializable object for ``o``, or calls the base implementation
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| 168 | (to raise a ``TypeError``).
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[2] | 169 |
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[391] | 170 | For example, to support arbitrary iterators, you could
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| 171 | implement default like this::
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| 172 |
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| 173 | def default(self, o):
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| 174 | try:
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| 175 | iterable = iter(o)
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| 176 | except TypeError:
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| 177 | pass
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| 178 | else:
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| 179 | return list(iterable)
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| 180 | # Let the base class default method raise the TypeError
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| 181 | return JSONEncoder.default(self, o)
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| 182 |
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| 183 | """
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| 184 | raise TypeError(repr(o) + " is not JSON serializable")
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| 185 |
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| 186 | def encode(self, o):
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| 187 | """Return a JSON string representation of a Python data structure.
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| 188 |
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| 189 | >>> JSONEncoder().encode({"foo": ["bar", "baz"]})
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| 190 | '{"foo": ["bar", "baz"]}'
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| 191 |
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| 192 | """
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| 193 | # This is for extremely simple cases and benchmarks.
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| 194 | if isinstance(o, basestring):
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| 195 | if isinstance(o, str):
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| 196 | _encoding = self.encoding
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| 197 | if (_encoding is not None
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| 198 | and not (_encoding == 'utf-8')):
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| 199 | o = o.decode(_encoding)
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| 200 | if self.ensure_ascii:
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| 201 | return encode_basestring_ascii(o)
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| 202 | else:
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| 203 | return encode_basestring(o)
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| 204 | # This doesn't pass the iterator directly to ''.join() because the
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| 205 | # exceptions aren't as detailed. The list call should be roughly
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| 206 | # equivalent to the PySequence_Fast that ''.join() would do.
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| 207 | chunks = self.iterencode(o, _one_shot=True)
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| 208 | if not isinstance(chunks, (list, tuple)):
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| 209 | chunks = list(chunks)
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| 210 | return ''.join(chunks)
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| 211 |
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| 212 | def iterencode(self, o, _one_shot=False):
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| 213 | """Encode the given object and yield each string
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| 214 | representation as available.
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| 215 |
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| 216 | For example::
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| 217 |
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| 218 | for chunk in JSONEncoder().iterencode(bigobject):
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| 219 | mysocket.write(chunk)
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| 220 |
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| 221 | """
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| 222 | if self.check_circular:
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| 223 | markers = {}
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| 224 | else:
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| 225 | markers = None
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| 226 | if self.ensure_ascii:
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| 227 | _encoder = encode_basestring_ascii
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| 228 | else:
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| 229 | _encoder = encode_basestring
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| 230 | if self.encoding != 'utf-8':
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| 231 | def _encoder(o, _orig_encoder=_encoder, _encoding=self.encoding):
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| 232 | if isinstance(o, str):
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| 233 | o = o.decode(_encoding)
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| 234 | return _orig_encoder(o)
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| 235 |
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| 236 | def floatstr(o, allow_nan=self.allow_nan,
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| 237 | _repr=FLOAT_REPR, _inf=INFINITY, _neginf=-INFINITY):
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| 238 | # Check for specials. Note that this type of test is processor
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| 239 | # and/or platform-specific, so do tests which don't depend on the
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| 240 | # internals.
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| 241 |
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| 242 | if o != o:
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| 243 | text = 'NaN'
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| 244 | elif o == _inf:
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| 245 | text = 'Infinity'
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| 246 | elif o == _neginf:
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| 247 | text = '-Infinity'
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| 248 | else:
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| 249 | return _repr(o)
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| 250 |
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| 251 | if not allow_nan:
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| 252 | raise ValueError(
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| 253 | "Out of range float values are not JSON compliant: " +
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| 254 | repr(o))
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| 255 |
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| 256 | return text
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| 257 |
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| 258 |
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| 259 | if (_one_shot and c_make_encoder is not None
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| 260 | and self.indent is None and not self.sort_keys):
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| 261 | _iterencode = c_make_encoder(
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| 262 | markers, self.default, _encoder, self.indent,
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| 263 | self.key_separator, self.item_separator, self.sort_keys,
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| 264 | self.skipkeys, self.allow_nan)
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| 265 | else:
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| 266 | _iterencode = _make_iterencode(
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| 267 | markers, self.default, _encoder, self.indent, floatstr,
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| 268 | self.key_separator, self.item_separator, self.sort_keys,
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| 269 | self.skipkeys, _one_shot)
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| 270 | return _iterencode(o, 0)
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| 271 |
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| 272 | def _make_iterencode(markers, _default, _encoder, _indent, _floatstr,
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| 273 | _key_separator, _item_separator, _sort_keys, _skipkeys, _one_shot,
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| 274 | ## HACK: hand-optimized bytecode; turn globals into locals
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| 275 | ValueError=ValueError,
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| 276 | basestring=basestring,
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| 277 | dict=dict,
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| 278 | float=float,
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| 279 | id=id,
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| 280 | int=int,
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| 281 | isinstance=isinstance,
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| 282 | list=list,
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| 283 | long=long,
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| 284 | str=str,
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| 285 | tuple=tuple,
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| 286 | ):
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| 287 |
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| 288 | def _iterencode_list(lst, _current_indent_level):
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[2] | 289 | if not lst:
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| 290 | yield '[]'
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| 291 | return
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| 292 | if markers is not None:
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| 293 | markerid = id(lst)
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| 294 | if markerid in markers:
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| 295 | raise ValueError("Circular reference detected")
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| 296 | markers[markerid] = lst
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[391] | 297 | buf = '['
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| 298 | if _indent is not None:
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| 299 | _current_indent_level += 1
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| 300 | newline_indent = '\n' + (' ' * (_indent * _current_indent_level))
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| 301 | separator = _item_separator + newline_indent
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| 302 | buf += newline_indent
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[2] | 303 | else:
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| 304 | newline_indent = None
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[391] | 305 | separator = _item_separator
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[2] | 306 | first = True
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| 307 | for value in lst:
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| 308 | if first:
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| 309 | first = False
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| 310 | else:
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[391] | 311 | buf = separator
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| 312 | if isinstance(value, basestring):
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| 313 | yield buf + _encoder(value)
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| 314 | elif value is None:
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| 315 | yield buf + 'null'
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| 316 | elif value is True:
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| 317 | yield buf + 'true'
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| 318 | elif value is False:
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| 319 | yield buf + 'false'
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| 320 | elif isinstance(value, (int, long)):
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| 321 | yield buf + str(value)
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| 322 | elif isinstance(value, float):
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| 323 | yield buf + _floatstr(value)
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| 324 | else:
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| 325 | yield buf
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| 326 | if isinstance(value, (list, tuple)):
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| 327 | chunks = _iterencode_list(value, _current_indent_level)
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| 328 | elif isinstance(value, dict):
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| 329 | chunks = _iterencode_dict(value, _current_indent_level)
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| 330 | else:
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| 331 | chunks = _iterencode(value, _current_indent_level)
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| 332 | for chunk in chunks:
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| 333 | yield chunk
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[2] | 334 | if newline_indent is not None:
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[391] | 335 | _current_indent_level -= 1
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| 336 | yield '\n' + (' ' * (_indent * _current_indent_level))
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[2] | 337 | yield ']'
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| 338 | if markers is not None:
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| 339 | del markers[markerid]
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| 340 |
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[391] | 341 | def _iterencode_dict(dct, _current_indent_level):
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[2] | 342 | if not dct:
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| 343 | yield '{}'
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| 344 | return
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| 345 | if markers is not None:
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| 346 | markerid = id(dct)
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| 347 | if markerid in markers:
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| 348 | raise ValueError("Circular reference detected")
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| 349 | markers[markerid] = dct
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| 350 | yield '{'
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[391] | 351 | if _indent is not None:
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| 352 | _current_indent_level += 1
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| 353 | newline_indent = '\n' + (' ' * (_indent * _current_indent_level))
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| 354 | item_separator = _item_separator + newline_indent
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[2] | 355 | yield newline_indent
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| 356 | else:
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| 357 | newline_indent = None
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[391] | 358 | item_separator = _item_separator
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[2] | 359 | first = True
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[391] | 360 | if _sort_keys:
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| 361 | items = sorted(dct.items(), key=lambda kv: kv[0])
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[2] | 362 | else:
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| 363 | items = dct.iteritems()
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| 364 | for key, value in items:
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[391] | 365 | if isinstance(key, basestring):
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[2] | 366 | pass
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| 367 | # JavaScript is weakly typed for these, so it makes sense to
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| 368 | # also allow them. Many encoders seem to do something like this.
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| 369 | elif isinstance(key, float):
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[391] | 370 | key = _floatstr(key)
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[2] | 371 | elif key is True:
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| 372 | key = 'true'
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| 373 | elif key is False:
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| 374 | key = 'false'
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| 375 | elif key is None:
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| 376 | key = 'null'
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[391] | 377 | elif isinstance(key, (int, long)):
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| 378 | key = str(key)
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| 379 | elif _skipkeys:
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[2] | 380 | continue
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| 381 | else:
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[391] | 382 | raise TypeError("key " + repr(key) + " is not a string")
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[2] | 383 | if first:
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| 384 | first = False
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| 385 | else:
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| 386 | yield item_separator
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[391] | 387 | yield _encoder(key)
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| 388 | yield _key_separator
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| 389 | if isinstance(value, basestring):
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| 390 | yield _encoder(value)
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| 391 | elif value is None:
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| 392 | yield 'null'
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| 393 | elif value is True:
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| 394 | yield 'true'
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| 395 | elif value is False:
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| 396 | yield 'false'
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| 397 | elif isinstance(value, (int, long)):
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| 398 | yield str(value)
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| 399 | elif isinstance(value, float):
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| 400 | yield _floatstr(value)
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| 401 | else:
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| 402 | if isinstance(value, (list, tuple)):
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| 403 | chunks = _iterencode_list(value, _current_indent_level)
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| 404 | elif isinstance(value, dict):
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| 405 | chunks = _iterencode_dict(value, _current_indent_level)
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| 406 | else:
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| 407 | chunks = _iterencode(value, _current_indent_level)
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| 408 | for chunk in chunks:
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| 409 | yield chunk
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[2] | 410 | if newline_indent is not None:
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[391] | 411 | _current_indent_level -= 1
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| 412 | yield '\n' + (' ' * (_indent * _current_indent_level))
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[2] | 413 | yield '}'
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| 414 | if markers is not None:
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| 415 | del markers[markerid]
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| 416 |
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[391] | 417 | def _iterencode(o, _current_indent_level):
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[2] | 418 | if isinstance(o, basestring):
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[391] | 419 | yield _encoder(o)
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[2] | 420 | elif o is None:
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| 421 | yield 'null'
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| 422 | elif o is True:
|
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| 423 | yield 'true'
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| 424 | elif o is False:
|
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| 425 | yield 'false'
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| 426 | elif isinstance(o, (int, long)):
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| 427 | yield str(o)
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| 428 | elif isinstance(o, float):
|
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[391] | 429 | yield _floatstr(o)
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[2] | 430 | elif isinstance(o, (list, tuple)):
|
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[391] | 431 | for chunk in _iterencode_list(o, _current_indent_level):
|
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[2] | 432 | yield chunk
|
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| 433 | elif isinstance(o, dict):
|
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[391] | 434 | for chunk in _iterencode_dict(o, _current_indent_level):
|
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[2] | 435 | yield chunk
|
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| 436 | else:
|
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| 437 | if markers is not None:
|
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| 438 | markerid = id(o)
|
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| 439 | if markerid in markers:
|
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| 440 | raise ValueError("Circular reference detected")
|
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| 441 | markers[markerid] = o
|
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[391] | 442 | o = _default(o)
|
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| 443 | for chunk in _iterencode(o, _current_indent_level):
|
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[2] | 444 | yield chunk
|
---|
| 445 | if markers is not None:
|
---|
| 446 | del markers[markerid]
|
---|
| 447 |
|
---|
[391] | 448 | return _iterencode
|
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