Dear Marcus,
Meanwhile, as you had advised, I had tried to see the parameters
that forecast() and general_work() are called with. Refer below
verbose message. When the flow chart started, the initial values
are samp_rate=32k, change_rate=64; hence d_iFactor = 32k/64 = 500.
At line 24 the samp_rate is changed to 64k on the fly by the user.
So now d_iFactor = 64k/64 = 1000. Every parameters and return
values seem to be correct, but the flow graph output becomes wrong
after line 24.
Wrong in which way?
Refer below, row_002 to row_010 are correct outputs.
At row_011, the samp_rate was changed from 64k to 32k, by using WX GUI
Slider. This were wrong outputs.
Executing: “/home/sgku/gnuradio/flow_graphs/top_block.py”
Using Volk machine: ssse3_32_orc
Integer1 [row_001] = 3, 22, 33, 44, 55, 211, 222,
233, 244, 255, 0
Integer1 [row_002] = 11, 22, 33, 44, 55, 211, 222,
233, 244, 255, 0
Integer1 [row_003] = 11, 22, 33, 44, 55, 211, 222,
233, 244, 255, 0
Integer1 [row_004] = 11, 22, 33, 44, 55, 211, 222,
233, 244, 255, 0
Integer1 [row_005] = 11, 22, 33, 44, 55, 211, 222,
233, 244, 255, 0
Integer1 [row_006] = 11, 22, 33, 44, 55, 211, 222,
233, 244, 255, 0
Integer1 [row_007] = 11, 22, 33, 44, 55, 211, 222,
233, 244, 255, 0
Integer1 [row_008] = 11, 22, 33, 44, 55, 211, 222,
233, 244, 255, 0
Integer1 [row_009] = 11, 22, 33, 44, 55, 211, 222,
233, 244, 255, 0
Integer1 [row_010] = 11, 22, 33, 44, 55, 211, 222,
233, 244, 255, 0
Integer1 [row_011] = 11, 22, 33, 700, 23, 863, 15,
1530, 165, 0
Integer1 [row_012] = 65535, 3, 1, 3, 1646, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,
71, 124, 82, 85, 170, 173, 131, 184, 182, 145, 73,