Python: import varray as va import numpy as np # hls::axis<ap_fixed<24, 12>> in_vals = np.array([10.5, -20.25, 30.125], dtype=np.float64) arr = va.array(in_vals, dtype=va.fi(1, 24, 12), axis=va.axis()) arr.tlast[-1] = 1 # hls::axis<float> arr_f = va.array(np.array([1.5, 2.5, 3.5], dtype=np.float32), dtype=va.float, axis=va.axis()) arr_f.tlast[-1] = 1 # hls::axis<std::complex<int>, 8, 4, 4> with sidechannels in_data = np.array([1+2j, 3+4j, 5+6j], dtype=np.complex128) ax = va.axis(w_user=8, w_id=4, w_dest=4) arr_c = va.array(in_data, dtype=va.cint32, axis=ax) arr_c.tuser[:] = 0xAB arr_c.tid[:] = 0x5 arr_c.tdest[:] = 0xC arr_c.tlast[-1] = 1 MATLAB: % hls::axis<ap_fixed<24, 12>> in_vals = [10.5, -20.25, 30.125]; arr = varray.fi(in_vals, 1, 24, 12, axis=varray.axis()); arr.tlast(3) = 1; % hls::axis<float> arr_f = varray.float(single([1.5, 2.5, 3.5]), axis=varray.axis()); arr_f.tlast(3) = 1; % hls::axis<std::complex<int>, 8, 4, 4> with sidechannels ax = varray.axis(w_user=8, w_id=4, w_dest=4); arr_c = varray.cint32(complex([1,3,5], [2,4,6]), axis=ax); arr_c.tuser = repmat(hex2dec('AB'), 1, 3); arr_c.tid = repmat(5, 1, 3); arr_c.tdest = repmat(hex2dec('C'), 1, 3); arr_c.tlast(3) = 1;