Manipulate arrays of complex data structures as easily as Numpy
https://github.com/scikit-hep/awkward-1.0
Awkward Array is a library for nested, variable-sized data, including
arbitrary-length lists, records, mixed types, and missing data, using
NumPy-like idioms.
Arrays are dynamically typed, but operations on them are compiled and fast.
Their behavior coincides with NumPy when array dimensions are regular and
generalizes when they're not.
- Developed at devel:languages:python:numeric
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Source Files
| Filename | Size | Changed |
|---|---|---|
| awkward-2.6.2.tar.gz | 0005582248 5.32 MB | |
| python-awkward.changes | 0000041773 40.8 KB | |
| python-awkward.rpmlintrc | 0000000045 45 Bytes | |
| python-awkward.spec | 0000003723 3.64 KB |
Latest Revision
Ana Guerrero (anag+factory)
accepted
request 1158839
from
Steve Kowalik (StevenK)
(revision 33)
- Update to 2.6.2:
* New features
+ feat: add CUDA kernels that calculate length/sum
+ feat: add variable length loop kernels
+ feat: make ak.mean and ak.count differentiable
* Bug-fixes and performance
+ fix: remove redundant(?) Jax.is_tracer_type check in _layout
+ fix: throw more meaningful error message for non-NumPy buffers
+ fix: proper typetracer array slicing in BitMaskedArray
+ fix: ak.flatten on BitMaskedArray
+ fix: performance of ufunc resolution for non-nominal signatures
- Add rpmlintrc to silence some rpmlint warnings
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