Dear NEST community,
When trying to pass a `synapse_label` parameter in the syn_spec dictionary, in conjunction with the `one_to_one` rule and node ids passed as arrays, I get the following error with NEST 3.0:
File "/home/zbarni/code/projects/lif_sorn_seqlearn/lif-sorn-nest-implementation/remote/test_nestml_multith.py", line 29, in <module> nest.Connect([1], [2], conn_spec={'rule': 'one_to_one'}, syn_spec={'synapse_model': 'static_synapse_lbl', 'synapse_label': 1}) File "/home/zbarni/software/installed/miniconda3/envs/del-lif-sorn-nestml-check_py390/lib/python3.9/site-packages/nest/ll_api.py", line 228, in stack_checker_func return f(*args, **kwargs) File "/home/zbarni/software/installed/miniconda3/envs/del-lif-sorn-nestml-check_py390/lib/python3.9/site-packages/nest/lib/hl_api_connections.py", line 255, in Connect connect_arrays(pre, post, weights, delays, synapse_model, syn_param_keys, syn_param_values) File "pynestkernel.pyx", line 360, in pynestkernel.NESTEngine.connect_arrays nest.lib.hl_api_exceptions.TypeMismatch: TypeMismatch in SLI function connect_arrays
It works when using the `all_to_all` rule. Is this the expected behavior or for some reason it's not possible to use synapse_label and the one_to_one rule (yet)?
Thank you, Barna