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neither ignore_nan=True nor allow_nan=False handle Decimals correctly #149

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@garborg
import math
from decimal import Decimal
import numpy as np
import simplejson

fmath = [1/3, math.nan, 0.2]
fnp = np.array([1/3, np.NaN, 0.2])
dmath = [Decimal(v).quantize(Decimal('0.01')) for v in fmath]
dnp= [Decimal(v).quantize(Decimal('0.01')) for v in fnp]

print(simplejson.dumps(fmath, ignore_nan=True))
print(simplejson.dumps(fnp.tolist(), ignore_nan=True))
print(simplejson.dumps(dmath, ignore_nan=True))
print(simplejson.dumps(dnp, ignore_nan=True))
[0.3333333333333333, null, 0.2]
[0.3333333333333333, null, 0.2]
[0.33, NaN, 0.20]
[0.33, NaN, 0.20]

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