The result for the The following examples differ from NumPy. Changing dtype to `"c8"` will return the correct result. ```python import numpy, dpctl.tensor as dpt a=numpy.array(1.+64387093.j) numpy.asin(a) # np.complex128(1.5531063034636457e-08+18.673570932293245j) ia=dpt.asarray(1.+64387093.j) dpt.asin(ia) # array(1.57079633+36.04365339j) a=numpy.array(-67108050.+1.j) numpy.asinh(a) # np.complex128(-18.71496174549975+1.4901341940348435e-08j) ia=dpt.asarray(-67108050.+1.j) dpt.asinh(ia) # array(-inf+0.j) ```