Brain-py

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

This release continues to improve the user-friendliness.

Highlights of core changes:

* Remove support for Numba-CUDA backend
* Super initialization `super(XXX, self).__init__()` can be done at anywhere
(not required to add at the bottom of the `__init__()` function).
* Add the output message of the step function running error.
* More powerful support for Monitoring
* More powerful support for running order scheduling
* Remove `unsqueeze()` and `squeeze()` operations in ``brainpy.ops``
* Add `reshape()` operation in ``brainpy.ops``
* Improve docs for numerical solvers
* Improve tests for numerical solvers
* Add keywords checking in ODE numerical solvers
* Add more unified operations in brainpy.ops
* Support "every" in steps and monitor functions
* Fix ODE solver bugs for class bounded function
* Add build phase in Monitor

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

- Fix bugs

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

- **NEW VERSION OF BRAINPY**
- Change the coding style into the object-oriented programming
- Systematically improve the documentation


brainpy 0.x
***********

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

- Add 'timeout' in sympy solver in neuron dynamics analysis
- Reconstruct and generalize phase plane analysis
- Generalize the repeat mode of ``Network`` to different running duration between two runs
- Update benchmarks
- Update detailed documentation

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

- Add a more flexible way for NeuState/SynState initialization
- Fix bugs of "is_multi_return"
- Add "hand_overs", "requires" and "satisfies".
- Update documentation
- Auto-transform `range` to `numba.prange`
- Support `_obj_i`, `_pre_i`, `_post_i` for more flexible operation in scalar-based models

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

Computation API
~~~~~~~~~~~~~~~

- Rename "brainpy.numpy" to "brainpy.backend"
- Delete "pytorch", "tensorflow" backends
- Add "numba" requirement
- Add GPU support

Profile setting
~~~~~~~~~~~~~~~

- Delete "backend" profile setting, add "jit"

Core systems
~~~~~~~~~~~~

- Delete "autopepe8" requirement
- Delete the format code prefix
- Change keywords "_t_, _dt_, _i_" to "_t, _dt, _i"
- Change the "ST" declaration out of "requires"
- Add "repeat" mode run in Network
- Change "vector-based" to "mode" in NeuType and SynType definition

Package installation
~~~~~~~~~~~~~~~~~~~~

- Remove "pypi" installation, installation now only rely on "conda"