Source code for spynnaker.pyNN.models.neural_projections.connectors.abstract_generate_connector_on_host

# Copyright (c) 2021 The University of Manchester
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from spinn_utilities.abstract_base import AbstractBase, abstractmethod


class AbstractGenerateConnectorOnHost(object, metaclass=AbstractBase):
    """
    A connector that can be generated on host.
    """

    # Mix-in class, so don't add anything here!
    __slots__ = []


[docs]
    @abstractmethod
    def create_synaptic_block(
            self, post_slices, post_vertex_slice, synapse_type, synapse_info):
        """
        Create a synaptic block from the data.

        :param list(~pacman.model.graphs.common.Slice) post_slices:
        :param ~pacman.model.graphs.common.Slice post_vertex_slice:
        :param AbstractSynapseType synapse_type:
        :param SynapseInformation synapse_info:
        :returns:
            The synaptic matrix data to go to the machine, as a Numpy array
        :rtype: ~numpy.ndarray
        """