Hi,
For an application I needed to import some data into my module
and then packetize it. The data
being quite large, comes from a file. My problem is that multiple
instances of top_block aren't allowed,
so once I have imported my data, I can't run my program. Even if I nest
this inside a gr.hier_block2 class,
I don't know how to create a nestable flow graph so that I run this
module/class first and then proceed
with the execution of the program once I have the data.
I went through the tx_voice.py example and noticed that all the
transmit_path.py and pick_bitrate.py do is to provide some necessary
functions (none of them need to 'run' some module beforehand).
Is there some way I could get this done using nestable flow graphs, or
do I end up putting the data in a ten page tuple like random_mask?
Kindly help. Thanks in advance.
---------------------------------------------------------------------------------------------------------------------------------
#testbot.py
#This module just takes some data from a file and stores it in a
variable (just a huge string)
#which is imported in another module which then transmits it in the form
of
# packets. Note that the data to be imported is quite large in size else
this operation
#would have simply been reduced a payload='abcd' string. Thus we import
the
#data as:
#''import testbot
# testbot.data'' in our module.
from gnuradio import gr, packet_utils
src =
gr.file_source(gr.sizeof_char,'/home/kshitij/work/transmit.dat',False)
sink = gr.vector_sink_b()
tb = gr.top_block()
tb.connect(src,sink)
try:
tb.run()
a = sink.data()
y=[]
for b in a:
y.append(str(b))
data = []
data = ''.join(y)
except KeyboardInterrupt:
pass
------------------------------------------------------------------------------------------------------------------------------------------
Regards,
Kshitij
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