numpy.array_equiv(a1, a2)

numpy.logical_or(x1, x2[, out]) = Compute the truth value of x1 OR x2 element-wise.

numpy.isnan(x[, out]) = Test element-wise for NaN and return result as a boolean array.

numpy.isclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False)

numpy.isposinf(x, y=None)

numpy.isrealobj(x)

numpy.not_equal(x1, x2[, out]) = Return (x1 != x2) element-wise.

numpy.isinf(x[, out]) = Test element-wise for positive or negative infinity. Returns a boolean array of the same shape as x

numpy.less(x1, x2[, out]) = Return the truth value of (x1 < x2) element-wise.

numpy.logical_and(x1, x2[, out]) = Compute the truth value of x1 AND x2 element-wise.