# Source code for spynnaker.pyNN.models.neuron.synapse_dynamics.abstract_static_synapse_dynamics

```
# Copyright (c) 2015 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
from .abstract_sdram_synapse_dynamics import AbstractSDRAMSynapseDynamics
class AbstractStaticSynapseDynamics(
AbstractSDRAMSynapseDynamics, metaclass=AbstractBase):
"""
Dynamics which don't change over time.
"""
# pylint: disable=too-many-arguments
__slots__ = ()
[docs]
@abstractmethod
def get_n_words_for_static_connections(self, n_connections):
"""
Get the number of 32-bit words for `n_connections` in a single row.
:param int n_connections:
:rtype: int
"""
[docs]
@abstractmethod
def get_static_synaptic_data(
self, connections, connection_row_indices, n_rows,
post_vertex_slice, n_synapse_types, max_n_synapses,
max_atoms_per_core):
"""
Get the fixed-fixed data for each row, and lengths for the
fixed-fixed parts of each row.
Data is returned as an array made up of an array of 32-bit words for
each row for the fixed-fixed region. The row into which connection
should go is given by `connection_row_indices`, and the total number
of rows is given by `n_rows`.
Lengths are returned as an array made up of an integer for each row,
for the fixed-fixed region.
:param ~numpy.ndarray connections: The connections to get data for
:param ~numpy.ndarray connection_row_indices:
The row into which each connection should go
:param int n_rows: The number of rows to write
:param ~pacman.model.graphs.common.Slice post_vertex_slice:
The slice of the post vertex to generate for
:param int n_synapse_types: The number of synapse types
:param int max_n_synapses: The maximum number of synapses to generate
:param int max_atoms_per_core: The maximum number of atoms on a core
:return: (ff_data, ff_size)
:rtype: tuple(list(~numpy.ndarray), ~numpy.ndarray)
"""
[docs]
@abstractmethod
def get_n_static_words_per_row(self, ff_size):
"""
Get the number of bytes to be read per row for the static data
given the size that was written to each row.
:param ~numpy.ndarray ff_size:
:rtype: ~numpy.ndarray
"""
[docs]
@abstractmethod
def get_n_synapses_in_rows(self, ff_size):
"""
Get the number of synapses in the rows with sizes `ff_size`.
:param ~numpy.ndarray ff_size:
:rtype: ~numpy.ndarray
"""
[docs]
@abstractmethod
def read_static_synaptic_data(
self, post_vertex_slice, n_synapse_types, ff_size, ff_data,
max_atoms_per_core):
"""
Read the connections from the words of data in `ff_data`.
:param ~pacman.model.graphs.common.Slice post_vertex_slice:
:param int n_synapse_types:
:param ~numpy.ndarray ff_size:
:param list(~numpy.ndarray) ff_data:
:param int max_atoms_per_core:
:rtype: ~numpy.ndarray
"""
```