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    >>> _nan_equal(Decimal('NAN'), Decimal('sNAN'))
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    >>> _nan_equal(Decimal(42), Decimal('NAN'))
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    >>> _nan_equal(float('NAN'), float('NAN'))
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    If given, both tol and rel must be finite, non-negative numbers. If not
    given, default values are tol=1e-12 and rel=1e-7.

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    Relative error is defined as abs((x-y)/x) or abs((x-y)/y), whichever is
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    individually.

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    error tolerance, or a relative error, or both.

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    of the quantities being compared:

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    False

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    >>> approx_equal(12.345e6, 12.346e6, rel=1e-4)
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        ...     def test_number(self):
        ...         x = 1.0/6
        ...         y = sum([x]*6)
        ...         self.assertApproxEqual(y, 1.0, tol=1e-15)
        ...     def test_sequence(self):
        ...         a = [1.001, 1.001e-10, 1.001e10]
        ...         b = [1.0, 1e-10, 1e10]
        ...         self.assertApproxEqual(a, b, rel=1e-3)
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