9.3.0

Changelog

dwave-cloud-client 0.14.3 ➞ 0.14.4

Bug Fixes

• Correctly filter secrets from structured logs. See #739.

dwave-hybrid 0.6.14 ➞ 0.6.15

New Features

• Add Python 3.14 support. See #308.

• Add origin_embeddings as argument for LNLS reference example. See #309.

Bug Fixes

• Fix exclude_dims incorrect enumeration. See #309.

Upgrade Notes

• Drop support for Python 3.9. See #308.

dwave-optimization 0.6.9 ➞ 0.6.11

New Features

• Add the MatrixMultiplication symbol and corresponding method
  matmul. The matmul method follows the behavior of NumPy's
  matmul, meaning that it works with matrices, vectors, and higher
  order arrays.
• Add Tanh symbol to support hyperbolic tangent. See #445.
• Add C++ TanhNode to support hyperbolic tangent.
• Add Python broadcast_shapes() function.
• Add subtract() function.
• Add equal() function.
• Add less_equal() function.
• Automatically broadcast when using binary operators with array
  symbols.
• Add dwave.optimization.typing module.
• Allow array symbols to have a state-dependent shape while not having
  a state-dependent size. For example, an array with shape (n, 0)
  will always have a size of 0, but the shape is state-dependent.
  Arrays with a state-dependent size always have a state-depenent
  shape.
• Add C++ is_contiguous() function.
• Add predict() function to dwave.optimization.generators. The
  predict() function accepts a fitted
  sklearn.neural_network.MLPCLassifier or
  sklearn.neural_network.MLPRegressor and a symbol representing X,
  and returns a symbol encoding the prediction of the estimator.

Upgrade Notes

• Opt ArraySymbol out of NumPy interoperability. This means that
  trying to use an ArraySymbol with most NumPy functions/operators
  will fail. Prefer to use the functions in
  dwave.optimization.mathematical.
• Rename C++ broadcast_shape() to broadcast_shapes() for
  consistency with NumPy.
• Change the definition of ArrayNode::dynamic() to return true if
  ArrayNode::shape()[0] < 0. That is, if the shape is
  state-dependent. Previously ArrayNode::dynamic() returned true if
  the size was state-dependent.
• Remove C++ Array::is_contiguous() protected method.

Bug Fixes

• Fix type promotion when using NumPy arrays as the left-hand-side of
  operations with ArraySymbol.
• Fix the maximum possible value reported by SetNode::max().
  Previously it would erroneously return a value derived from the
  maximum subset size.
• Fix BinaryOpNode at C++ level so that it does not
  accept predecessors that have different, broadcastable shape if they
  have the same size.
• Disallow broadcasting a fixed size array to a dynamic shape with
  BroadcastTo symbol.
• Support broadcasting arrays to a shape with a 0 in one or more
  dimensions with the BroadcastTo symbol.
• Fix reductions over empty dynamic arrays.
• Fix basic indexing that results in empty dynamic arrays.
• Fix BroadcastToNode::contiguous() method, previously it would
  always report that the node was not contiguous.
• Provide a meaningful error message when attempting to make a dynamic
  ConstantNode at the C++ level.
• Provide a meaningful error message when attempting to make a dynamic
  NumberNode at the C++ level.

Package versions

dimod==0.12.21
dwave-cloud-client==0.14.4
dwave-gate==0.3.5
dwave-hybrid==0.6.15
dwave-inspector==0.5.5
dwave-networkx==0.8.18
dwave-optimization==0.6.11
dwave-preprocessing==0.6.11
dwave-samplers==1.7.0
dwave-system==1.34.0
minorminer==0.2.21
penaltymodel==1.3.0