- Feature parity with ArrayFire 3.5.

-`canny`: Canny Edge detector

-`Array.scalar`: Return the first element of the array

-`dot`: Now support option to return scalar

-`print_mem_info`: Prints memory being used / locked by arrayfire memory manager.

-`Array.allocated`: Returs the amount of memory allocated for the given buffer.

-`set_fft_plan_cache_size`: Sets the size of the fft plan cache.

- Bug Fixes:

-`sort_by_key` had key and value flipped in documentation.

- Improvements and bugfixes from upstream include:

- CUDA backend uses nvrtc instead of nvvm

- Performance improvements to arrayfire.reorder

- Faster unified backend

- You can find more information at arrayfire's[release notes](https://github.com/arrayfire/arrayfire/blob/v3.5.0/docs/pages/release_notes.md)

- Bugfix: Fixes typo in`approx1`.

- Bugfix: Fixes typo in`hamming_matcher` and`nearest_neighbour`.

- Bugfix: Added necessary copy and lock mechanisms in interop.py.

- Example / Benchmark: New conjugate gradient benchmark.

- Feature: Added support to create arrayfire arrays from numba.

- Behavior change: af.print() only prints full arrays for smaller sizes.

- Fixing memory leak in array creation.

- Supporting 16 bit integer types in interop.

author="Pavan Yalamanchili",

author_email="contact@pavanky.com",

name="arrayfire",

version="3.4.20170222",

version="3.5.20170718",

description="Python bindings for ArrayFire",

license="BSD",

url="http://arrayfire.com",