Kwarray

Latest version: v0.6.18

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0.5.4

Added
* Add `FlatIndexer`

Changed
* Added better docs to `kwarray.util_groups`.

Fixed
* `ArrayAPI.numpy` and other "api-methods" now correctly raise a TypeError on
unknown data types. Previous behavior returned None.

0.5.2

Fixed
* `ensure_rng` now correctly coerce the `random` and `np.random` modules.
* `group_indices` now works correctly on lists of tuples.

0.4.0

Added
* dev folder with developer benchmarks and scripts
* sanitize script for public release

Changed
* First public release
* Refactored requirements into tests and runtime
* `ensure_rng` can now accept floats as a seed
* Improved speed of `random_product`.

Fixed
* Fix bug in one-hot-encoding when dim=-1
* `run_developer_setup.sh` uses `setup.py develop` to avoid issues with PEP 517.
* Support for torch `1.2.0`

0.3.0

Fixed
* Fixed bug in `ArrayAPI.compress` with multi-dimensional tensors
* Fixed bug in `ArrayAPI.ones_like`, where it returned zeros

Added
* Add `clear` to `DataFrameLight`
* Added `util_torch` with `one_hot_embedding`
* Add `ArrayAPI.matmul`
* Add various `ArrayAPI` functions

Changed
* Speed improvements
* `boolmask` now automatically converts data to an integer ndarray

0.2.0

Added
* Initial port of functionality from KWIL
- `fast_rand.py`
- `util_groups.py`
- `util_numpy.py`
- `util_random.py`
- `util_torch.py`
- `util_averages.py`
- `distributions.py`
- `dataframe_light.py`
- `arrayapi.py`
- `algo_assignment.py`

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