remove dtype declaration

Author: Christian-B

spynnaker/pyNN/models/neural_projections/connectors/fixed_number_post_connector.py

@@ -133,7 +133,7 @@ def __build_post_neurons(
             self, synapse_info: SynapseInformation) -> List[NDArray[integer]]:
         rng = self.__rng or NumpyRNG()
         post_neurons: List[NDArray[integer]] = \
-            [numpy.empty([0], dtype=integer)] * synapse_info.n_pre_neurons
+            [numpy.empty([0])] * synapse_info.n_pre_neurons
         # Loop over all the pre neurons
         for m in range(synapse_info.n_pre_neurons):
             if post_neurons[m] is None:

spynnaker/pyNN/models/neural_projections/connectors/fixed_number_pre_connector.py

@@ -133,8 +133,7 @@ def get_delay_minimum(self, synapse_info: SynapseInformation) -> float:
     def __build_pre_neurons(self, synapse_info: SynapseInformation) -> List[
             NDArray[integer]]:
         rng = self.__rng or NumpyRNG()
-        pre_neurons = [
-            numpy.zeros([0], dtype=integer)] * synapse_info.n_post_neurons
+        pre_neurons = [numpy.zeros([0])] * synapse_info.n_post_neurons
         # Loop over all the post neurons
         for m in range(synapse_info.n_post_neurons):
             # If the pre and post populations are the same

spynnaker/pyNN/utilities/neo_buffer_database.py

@@ -892,7 +892,7 @@ def __get_matrix_data(
                 pop_neurons.extend(neurons)
             else:
                 indexes.append(index)
-                neurons = numpy.array([index], dtype=integer)
+                neurons = numpy.array([index])
             times, data = self.__get_matrix_data_by_region(
                 region_id, neurons, data_type)
             if signal_array is None or pop_times is None: