New issue 1144: numpy and typecasting for in place operations https://bitbucket.org/yt_analysis/yt/issues/1144/numpy-and-typecasting-for-i... Giovi Pelle: Python 3.4 Numpy 1.10.1 The example for loading [generic array data](http://yt-project.org/doc/examining/generic_array_data.html) fails with the following traceback: ```Python -------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-17-91acb99a6f75> in <module>() 1 data = dict(density = (arr, "g/cm**3")) 2 bbox = np.array([[-1.5, 1.5], [-1.5, 1.5], [-1.5, 1.5]]) ----> 3 ds = yt.load_uniform_grid(data, arr.shape, length_unit="Mpc", bbox=bbox, nprocs=64) /home/giovi/anaconda3/lib/python3.4/site-packages/yt/frontends/stream/data_structures.py in load_uniform_grid(data, domain_dimensions, length_unit, bbox, nprocs, sim_time, mass_unit, time_unit, velocity_unit, magnetic_unit, periodicity, geometry) 638 new_data = {} 639 for key in data.keys(): --> 640 psize = get_psize(np.array(data[key].shape), nprocs) 641 grid_left_edges, grid_right_edges, shapes, slices = \ 642 decompose_array(data[key].shape, psize, bbox) /home/giovi/anaconda3/lib/python3.4/site-packages/yt/utilities/decompose.py in get_psize(n_d, pieces) 93 i = fac[nfac, 1] - i 94 j = fac[nfac, 1] - (i + k) ---> 95 ldom *= fac[nfac, 0] ** np.array([i, j, k]) 96 97 quality = evaluate_domain_decomposition(n_d, pieces, ldom) TypeError: Cannot cast ufunc multiply output from dtype('float64') to dtype('int64') with casting rule 'same_kind' ``` I guess it can be attributed to the new numpy typecasting rule for in-place operation. Probably it is a simple fix for you. Best Giovanni Responsible: yt_analysis