def eval_in_mem(arr, iter_dims, chunk=1, dump_result=False):
logging.info("starting in-mem with dims=%s chunk=%d",
str(iter_dims), chunk)
t = time.time()
res = blaze.zeros(arr.dshape)
simple_execute_write(arr._data, res._data,
iter_dims=iter_dims, chunk=chunk)
logging.info("took %f secs.\n", time.time()-t);
if dump_result:
logging.debug(res)
return res
res_dd = NumPyDataDescriptor(np.empty(shape, dtype=dtype))
ex.run_write(res_dd)
res = blaze.Array(res_dd)
print (res)
#for i in xrange(len(dims)-1):
# test_dims(d,i)
src_dd = d._data
sh, dt = to_numpy(src_dd.dshape)
banner('Executive interface (write interface)')
dst_dd = NumPyDataDescriptor(np.empty(sh, dtype=dt))
simple_execute_write(src_dd, dst_dd)
print(blaze.Array(dst_dd))
del dst_dd
banner('Executive interface (append interface)')
dst_dd = BLZDataDescriptor(blz.zeros((0,)+sh[1:],
dtype=dt,
rootdir='exec_test.blz'))
simple_execute_append(src_dd,dst_dd)
print(blaze.Array(dst_dd))
blaze.drop(blaze.Persist('exec_test.blz'))
del(dst_dd)