Hi Tim,

Thank you very much for your help!

The problem was with the QA file. I tried to input the 3 source streams as:
src = blocks.vector_source_c(np.array([src0, src1, src2]))
where each srcX was defined as a complex array. Based on the link into the
github QA files that you sent me, it showed that each srcX must be
connected individually to the processing block. Also, I overlooked the fact
that when I ran the QA, it pointed to that line in the code as a problem.

I will now try to see if I can get the output to provide a stream of 8
samples (maybe do 3 as a start) based on one sample from each of the
3-input streams.

Thanks again for the help!

Regards,
George

On Tue, Jan 19, 2021 at 2:05 PM Tim Huggins <[email protected]>
wrote:

> George,
>
> Unfortunately I'll still not seeing anything wrong with what you have (and
> I realized that the QA code caused the issue so it is probably not in your
> yml file). I'd probably have too see your entire code to try to reproduce
> the error as all my tests to create the error didn't.
>
> Regarding your other questions:
> 1. There isn't really a correct/incorrect as the answer can depend on the
> work that you want the block to do but general will work. I mainly use
> general or sync.
> 2. Yes, as you have a 1 to 1 stream.
> 3. This doesn't look quite correct. Are you planning on working with
> vector inputs or steams to your block? if you are using streams then there
> is no need to change vlen in the yml file. Also it sounds like whatever
> computations are basically doing an interpolation (1 input to 8 outputs),
> you may want to look at the interp_block type instead of the general block
> that you are using (it might make your life a little easier, take a small
> glance here:
> https://github.com/gnuradio/gnuradio/blob/master/gr-blocks/python/blocks/qa_block_gateway.py).
> Alternatively I think you could look at the set_output_multiple() call.
>
> Tim
>
>
>
>
>
>
>
> On Monday, January 18, 2021, 8:27:28 PM EST, George Edwards <
> [email protected]> wrote:
>
>
> Hi Tim,
> Thanks for the offer to help! I appreciate it very much.
> Here is the rest of yml file. I also have some further questions:
> 1. In the gr-modtool design, I picked the "general" block, is this
> correct?
> 2. The current model has 3 streaming inputs. Each output sample
> computation takes one sample from each input. So I leave the forecast()
> method as the default which is:
>     ninput_items_required[i] = noutput_items, is this correct?
>      And, in the general_work() method, I also leave the default:
>     return len(output_items[0]), is this correct?
> 3. The final model will have the same 3 input streams, but each
> computation will produce a stream of 8 output samples. So, do I now change
> the forecast() method to:
>     ninput_items_required[i] = noutput_items - 7
>     Then, in the general_work() method do:
>      return len(8*input_items[0])
>      Then, for the yml file set, vlen = 8              "The setting of
> these parameters in Item 3 are all confusing to me"
>
> parameters:
>
> - id: scale
>
>   label: Scale_Value
>
>   dtype: bool
>
>   default: True
>
>
>
> #  Make one 'inputs' list entry per input and one 'outputs' list entry per
> output.
>
> #  Keys include:
>
> #      * label (an identifier for the GUI)
>
> #      * domain (optional - stream or message. Default is stream)
>
> #      * dtype (e.g. int, float, complex, byte, short, xxx_vector, ...)
>
> #      * vlen (optional - data stream vector length. Default is 1)
>
> #      * optional (optional - set to 1 for optional inputs. Default is 0)
>
> inputs:
>
> - domain: stream
>
>   dtype: complex
>
>   multiplicity: '3'
>
>
>
> # - label: in0
>
> #   dtype: complex
>
> # - label: in1
>
> #   dtype: complex
>
> # - label: in2
>
> #   dtype: complex
>
>
>
> outputs:
>
> - label: out
>
>   dtype: complex
>
>
>
> #  'file_format' specifies the version of the GRC yml format used in the
> file
>
> #  and should usually not be changed.
>
> file_format: 1
>
>
>
>
> On Mon, Jan 18, 2021 at 7:50 AM Tim Huggins <[email protected]>
> wrote:
>
> George,
>
> I have made several OOT Python blocks with variable numbers of inputs and
> outputs and while I could very easily be overlooking something the error
> does not, at first glance, appear to be in the code that you have sent out.
> Can you send the rest of your yml file (and potentially the rest of the
> python)? I am curious if there is something missing in either the templates
> or parameters sections of your yml file.
>
> Tim
>
> On Friday, January 15, 2021, 2:56:48 PM EST, George Edwards <
> [email protected]> wrote:
>
>
> Hello,
>
> I am trying to make a Python OOT block which accepts a stream of 3 inputs
> complex valued data and for each single input sample (one on each input
> line) the block will output 8 complex samples. For my first cut, I am
> simply trying to get the module to work outputting one complex sample
> (rather than 8). Below are the essential parts of my program.
>
> 1. In the def __init__ (self.), I set the inner method
> gr.basic_block.__init__(self,
>        name="my_block_name_py_cc",
>        in_sig = [numpy.complex64, numpy.complex64,  numpy.complex64  ],
>        out_sig = [ numpy.complex64 ])       # with 3 inputs and one output
>
> 2. In the general_work() method for now I set the output to a
> constant complex value as follows
>       out_items[0][:] = 1.0+1.0*1j
>
> 3. In the *.yml file, the input is set as:
>         inputs:
>         - domain: stream
>            dtype: complex
>            multiplicity: '3'
>
> The module compiles. However, when I run the QA file, it gives an error
> stating something is wrong in File "..........blocks_swig1.py at line 8354.
> TypeError: in method 'vector_source_c_make', argument 2 of type 'bool'
>
> I went to the file and the line stated, but I have not seen anything to
> help me make corrections. As far as a TypeError of 'bool', I do not see
> where I would have made such an error. I have an input parameter in the def
> __init__(self, start = True) method, 'start', which comes in as bool, but
> that is the only bool variable I am using. The documentation I read for the
> method states "This block produces a stream of samples based on an input
> vector" (which is my goal if I can get it to work).
>
> I will appreciate any help to get me on the right track.
>
> Regards,
> George
>
>

Reply via email to