0.6.11

New Features

• 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

• 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

• 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.