You are already initializing self.start in exactly the same way you should be initializing self.v, right?
On Wed, Jan 13, 2021 at 10:46 PM George Edwards <gedwards....@gmail.com> wrote: > Hi Jeff, > > Thanks for your answer. You are right, it crashes on the second call. > > So how do I write the program to initialize a bunch of vectors in a > "method strictly for initialization" when it first starts running? If this > cannot be done, then I guess the only solution is to initialize them in the > work() method even though it would make the work() method bulky? > > Thanks again for your help. > > Regards, > George > > On Wed, Jan 13, 2021 at 8:12 PM Jeff Long <willco...@gmail.com> wrote: > >> 'v' is a local variable in work(). It is probably crashing on the second >> call, where my_init() is not called, and thus there is no 'v'. >> >> On Wed, Jan 13, 2021 at 7:38 PM George Edwards <gedwards....@gmail.com> >> wrote: >> >>> Hello, >>> >>> I am using a Gnuradio Python Block in my GRC signal processing and am >>> having problems initializing my parameters. My system has a number of >>> vector parameters to be initialized at startup. I will provide the gist of >>> my goal in a scaled down version of my work. >>> 1. In the def __init__(self, start = True) method, "start" is the >>> parameter that will be used in the program to run the initialization >>> process and is set as follows: >>> self.start = start >>> 2. In the work(self, input_items, output_items) method, I have the >>> following at the start of the method: >>> if self.start == True: >>> v = self.my_init() # go initialize all vectors >>> >>> output_items[0][:] = in0*v[0] + in1*v[1] + in2*v[2] >>> #computation using v >>> # with 3-inputs to >>> the block >>> >>> 3. In the my_init(self) method I have: >>> self.start = False # set start to False >>> v = np.array([1., 2., 3.]) #hypothetical to make this simple >>> return v >>> >>> When I run the GRC model, it tells me that "v" is referenced before >>> assignment. I am confused because I thought that the method my_init() would >>> have been called before the computation and would return the values for >>> "v". On the other hand if I do the assignment in the work(...) method as v >>> = np.array([1., 2., 3.]), it works perfectly. >>> Question: Why was the my_init() method not called properly to get the >>> values for the numpy array v? >>> >>> Thanks for the help! >>> >>> Regards, >>> George >>> >>
