Hi all,
Apologies for a possible duplicate message.
I've made a few OOT blocks and thought I had a handle on the process but I've
found something that I don't understand. I have a general block that "passes"
the input to the output stream. However, instead of doing something like:
out[:] = in0[:], I did out[:]+=in[:] and found something strange. The full code
is as follows:
import numpy as np
from gnuradio import gr
class check(gr.basic_block):
def __init__(self):
gr.basic_block.__init__(self,
name="check",
in_sig=[np.float32],
out_sig=[np.float32])
def forecast(self, noutput_items, ninput_items_required):
for i in range(len(ninput_items_required)):
ninput_items_required[i] = noutput_items
def general_work(self, input_items, output_items):
in0 = input_items[0]
out = output_items[0]
common = min(in0.shape[0], out.shape[0])
out[:common] += in0[:common] #changing += to = fixes/hides
the problem
self.consume_each(common)
return common
I thought that by calling consume_each and return with common, I'd be telling
the system to move forward by "common" number of input and output
indices/addresses. However, in this case the system doesn't and I think reuses
the indices of the output stream. I've attached a plot of the input and output.
Whats really going on here?
I've simplified the block here to focus on the issue. My actual application was
a filter which selected parts of the input stream and wrote the filtered
version on the corresponding parts of the output stream. I found similar issues
there also.
Thank you,
AB
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