Nengo

Latest version: v4.0.0

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20.10

==================

**Added**

- Added ``analytics`` theme option to allow specifying any tracking code. (`75`_)

**Removed**

- Removed ``analytics_id`` and ``tagmanager_id`` theme options. Use ``analytics``
to specify the full tracking code instead. (`75`_)

**Fixed**

- Aliases of renamed classes will now be handled correctly. (`70`_)
- Redirecting to an absolute URL from a file in a subdirectory now works. (`74`_)

.. _70: https://github.com/nengo/nengo-sphinx-theme/pull/70
.. _74: https://github.com/nengo/nengo-sphinx-theme/pull/74
.. _75: https://github.com/nengo/nengo-sphinx-theme/pull/75

20.9

========================

**Added**

- Added ``tagmanager_id`` theme option to enable Google Tag Manager tracking.
Note that ``tagmanager_id`` takes precedence over ``analytics_id``. (`63`_)
- Added ``one_page`` theme option, which can be set to True for docs that include
all content on a single index page. (`59`_)
- Added custom 404 page. (`65`_)
- Added ``nengo_sphinx_theme.ext.sourcelinks`` extension which allows the autodoc
source links to point to a different site (like GitHub). (`66`_)

**Changed**

- Swapped position of "search" and "version" boxes (so search is at the top
and version is at the bottom). (`58`_)
- Added notification when viewing the development version of docs. (`62`_)

**Fixed**

- Versions listed in the dropdown will now be sorted correctly by number rather than
string (e.g. 1.10 will come after 1.2). (`58`_)
- Remove empty lines from version dropdown. (`58`_)

.. _58: https://github.com/nengo/nengo-sphinx-theme/pull/58
.. _59: https://github.com/nengo/nengo-sphinx-theme/pull/59
.. _62: https://github.com/nengo/nengo-sphinx-theme/pull/62
.. _63: https://github.com/nengo/nengo-sphinx-theme/pull/63
.. _65: https://github.com/nengo/nengo-sphinx-theme/pull/65
.. _66: https://github.com/nengo/nengo-sphinx-theme/pull/66

4.0.1

==================

4.0.0

=========================

**Added**

- Added ``groups`` parameter to ``nengo.Convolution``. (`1675`_, `1684`_)

**Changed**

- Made NengoCore available under the GPLv2 license. (`1693`_)

**Fixed**

- Fixed an issue where ``nengo.LinearFilter`` and subclasses (e.g. ``Lowpass``,
``Alpha``) would fail when running on tensors with dimension >= 3. (`1687`_)

.. _1675: https://github.com/nengo/nengo/issues/1675
.. _1684: https://github.com/nengo/nengo/pull/1684
.. _1687: https://github.com/nengo/nengo/pull/1687
.. _1693: https://github.com/nengo/nengo/pull/1693

3.2.0

========================

**Added**

- Added official support for Python 3.9. (`1660`_)
- Added ``ChannelShape.from_space_and_channels`` to easily construct a
``ChannelShape`` from a spatial shape and number of channels. (`1648`_)
- Added the ``ConvolutionTranspose`` transform to perform transposed convolution.
It is commonly used for various forms of upsampling in deep networks. (`1648`_)
- Added ``Conv`` and ``ConvTranspose`` aliases for ``Convolution`` and
``ConvolutionTranspose``. (`1648`_)

**Changed**

- The minimum supported NumPy version is now 1.19, as earlier versions are
no longer officially supported. (`NEP-29`_, `1683`_)

**Removed**

- Removed support for Python 3.5 (which reached its end of life in
September 2020). (`1649`_)
- Removed ``nengo.utils.graphs.graph`` (this was a small utility function for building
graphs that was only used in tests). (`1654`_)
- Removed ``simulator.ProbeDict`` alias; this was previously renamed to
``simulator.SimulationData``. (`1649`_)

**Fixed**

- Fixed a bug with a problematic cache index breaking decoder solvers. The solver now
avoids using the cache, rather than crashing. (`1649`_)
- Operator graph step order will now be deterministic. (`1654`_)
- Fixed an issue in which some simulators could not be reset due to signals
not being marked as readonly. (`1676`_)
- Fixed an inconsistency in which normal ``Node`` output functions would receive
a copy of the input signal, while ``Process`` step functions would not.
``Process`` step functions now also receive copies. (`1679`_)
- Duplicate keys in ``Neurons.probeable`` have been removed. (`1681`_)

.. _1648: https://github.com/nengo/nengo/pull/1648
.. _1649: https://github.com/nengo/nengo/pull/1649
.. _1654: https://github.com/nengo/nengo/pull/1654
.. _1660: https://github.com/nengo/nengo/pull/1660
.. _1676: https://github.com/nengo/nengo/pull/1676
.. _1679: https://github.com/nengo/nengo/pull/1679
.. _1681: https://github.com/nengo/nengo/pull/1681
.. _1683: https://github.com/nengo/nengo/pull/1683
.. _NEP-29: https://numpy.org/neps/nep-0029-deprecation_policy.html

3.1.0

=========================

**Added**

- Added a new example notebook for Legendre Memory Units.
(`1589 <https://github.com/nengo/nengo/pull/1589>`__)
- Added the ``step_order`` attribute to ``nengo.Simulator``, which contains an
ordered list of the operations run on each timestep.
(`1615 <https://github.com/nengo/nengo/pull/1615>`__)
- Added the ``make_state`` method to ``NeuronType``, which initializes the
neuron type's state variables. (`1609`_)
- Added the ``spiking`` attribute to ``NeuronType``, which exposes whether
a neuron type is spiking or non-spiking. (`1609`_)
- Added the ``negative`` attribute to ``NeuronType``, which indicates whether
the neuron type can have negative outputs. (`1609`_)
- Added the ``Tanh`` neuron type to simulate hyperbolic tangent neurons. (`1609`_)
- Added the ``RatesToSpikesNeuronType``, which is a base class for neuron types
that convert a rate-based type to a spiking one. (`1609`_)
- Added the ``RegularSpiking`` neuron type, which emits regularly-spaced spikes
at the rate specified by its base type. (`1609`_)
- Added the ``StochasticSpiking`` neuron type, which emits spikes based on stochastic
rounding to roughly match the rate specified by its base type. (`1609`_)
- Added the ``PoissonSpiking`` neuron type, which emits Poisson-distributed spikes,
as are commonly used to match biological spiking statistics. (`1609`_)
- Added the ``PositiveNeuronType`` test argument to run tests on all neuron types
for which ``negative`` is not ``True``. (`1609`_)
- Added the ``QuasirandomSequence`` distribution, which is similar to
``Uniform`` but spreads points across the space evenly. (`1611`_)
- Added the ``ScatteredHypersphere`` distribution, which is similar to
``UniformHypersphere`` but spreads points across the space more evenly. (`1611`_)
- Added the ``RLS`` (recursive least-squares) learning rule, which is an online
version of the least-squares method typically used for offline decoder-solving.
(`1611`_, `example <learn-product_>`__)
- Added the ``SimProbe`` operator, which marks a signal as being probed. (`1653`_)

**Changed**

- Nengo is now compatible with Python 3.8. (`1628`_)
- The default Connection transform is now ``None``, meaning that there will be
no transform applied. This only changes behavior when learning on a
neuron-neuron connection with the default scalar transform. In that situation
there are now no weights to apply learning to, so this will result in an
error. The old behaviour can be obtained by setting ``transform=1``.
(`1591 <https://github.com/nengo/nengo/pull/1591>`__)
- Network list attributes (e.g. ``.ensembles``, ``.connections``, ``.probes``) are now
read-only, to prevent users from accidentally overwriting them with their own data.
(`1545 <https://github.com/nengo/nengo/issues/1545>`__,
`1608 <https://github.com/nengo/nengo/pull/1608>`__)
- The ``NeuronType.step_math`` method has been renamed to ``NeuronType.step``.
(`1609`_)
- Neuron types can now create arbitrary state variables without needing to register
a new build function. The ``state`` class attribute declares the neuron type's
state variables and their default initial values. All ``__init__`` methods accept
an ``initial_state`` dictionary for users to override the default initial state
values. (`1609`_)
- The ``nl`` and ``nl_nodirect`` test arguments have been renamed to ``AnyNeuronType``
and ``NonDirectNeuronType``. (`1609`_)
- Weight solvers (i.e. those with ``weights=True``) are now allowed on all connections.
For connections that are not between ``Ensembles``, though, weight solvers have the
same effects as solvers with ``weights=False``, and a warning will be raised.
(`1626 <https://github.com/nengo/nengo/pull/1626>`__)
- Various improvements to simulation speed. (`1629`_)
- ``EnsembleArray`` now raises an error if ``add_output`` would
overwrite an existing attribute. (`1611`_)
- The ``encoders`` and ``eval_points`` of ``Ensemble`` are now sampled from
``ScatteredHypersphere`` by default. (`1611`_)
- Trying to re-open a closed Simulator will now raise an error. (`1599`_)

**Deprecated**

- ``NeuronType.step`` replaces the ``NeuronType.step_math`` method,
which will be removed in Nengo 4.0.0. (`1609`_)
- ``Connection.is_decoded`` is deprecated, as the definition of whether a Connection
is decoded or not was ambiguous. Instead we recommend directly checking the pre/post
objects for the properties of interest. (`1640`_)

**Fixed**

- Fixed a bug when comparing equality with ``Ensemble.neurons`` or
``Connection.learning_rule`` objects.
(`1588 <https://github.com/nengo/nengo/pull/1588>`__)
- Fixed a bug preventing unpickling an ``Ensemble``.
(`1598 <https://github.com/nengo/nengo/pull/1598>`__)
- Fixed a bug in which unpickling a ``Simulator`` would rerun the optimizer.
(`1598 <https://github.com/nengo/nengo/pull/1598>`__)
- Fixed a bug where the ``LstsqDrop`` solver errored when solving for zero weights.
(`1541 <https://github.com/nengo/nengo/issues/1541>`__,
`1607 <https://github.com/nengo/nengo/pull/1607>`__)
- Fixed a bug in the validation of ``Choice`` distributions. (`1630`_)
- Fixed a bug where a ``Signal`` did not register as sharing memory with itself.
(`1627`_)
- Fixed a shape error when applying PES learning to a neuron-to-neuron connection with a
slice on the post-synaptic neurons. (`1640`_)
- Fixed a shape error when applying PES learning to a neuron->ensemble connection with
a weight solver. (`1640`_)
- Fixed a shape error when applying PES learning to an ensemble->neuron connection.
(`1640`_)
- Fixed a shape error when applying PES learning with a slice on the pre-synaptic
object. (`1640`_)

.. _1599: https://github.com/nengo/nengo/pull/1599
.. _1609: https://github.com/nengo/nengo/pull/1609
.. _1611: https://github.com/nengo/nengo/pull/1611
.. _1627: https://github.com/nengo/nengo/pull/1627
.. _1628: https://github.com/nengo/nengo/pull/1628
.. _1629: https://github.com/nengo/nengo/pull/1629
.. _1630: https://github.com/nengo/nengo/pull/1630
.. _1640: https://github.com/nengo/nengo/pull/1640
.. _1653: https://github.com/nengo/nengo/pull/1653
.. _learn-product: https://www.nengo.ai/nengo/examples/learning/learn-product.html

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