Version 2.4.0

This branch of releases (brainpy==2.4.x) are going to support the large-scale modeling for brain dynamics.

As the start, this release provides support for automatic object-oriented (OO) transformations.

What's New

1. Automatic OO transformations on longer need to take dyn_vars or child_objs information.
   These transformations are capable of automatically inferring the underlying dynamical variables.
   Specifically, they include:

   • brainpy.math.grad and other autograd functionalities
   • brainpy.math.jit
   • brainpy.math.for_loop
   • brainpy.math.while_loop
   • brainpy.math.ifelse
   • brainpy.math.cond

2. Update documentation

3. Fix several bugs

What's Changed

• reorganize operators in brainpy.math by @chaoming0625 in #357
• Automatic transformations any function/object using brainpy.math.Variable by @chaoming0625 in #358
• New OO transforms support jax.disable_jit mode by @chaoming0625 in #359
• [oo transform] Enable new style of jit transformation to support static_argnums and static_argnames by @chaoming0625 in #360
• [documentation] update documentation to brainpy>=2.4.0 by @chaoming0625 in #361

Full Changelog: V2.3.8...V2.4.0