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-2.6.4.tar.gz | 0006056104 5.78 MB | |
| python-awkward.changes | 0000044208 43.2 KB | |
| python-awkward.rpmlintrc | 0000000045 45 Bytes | |
| python-awkward.spec | 0000003791 3.7 KB |
Latest Revision
Dominique Leuenberger (dimstar_suse)
accepted
request 1172539
from
Dirk Mueller (dirkmueller)
(revision 35)
- update to 2.6.4:
* feat: `TypeTracerReport.data_touched_in` should ignore
unrecognized `node_ids`
* feat: better error message for missing dispatch
* feat: add boolean cases for CPU kernels
* feat: add ak.flatten and ak.concatenate kernels
* fix: restrict ak.softmax to axis=-1, the only axis for which
the calculation is correct right now
* fix: Numpy 2.0 out of bounds error for BitMaskedArray Py
kernels
* fix: _is_getitem_at_placeholder logic was backward for
UnionArray
* fix: refuse dak.Array in hidden-but-public-functions
* fix: PyPy segfault may be related to using out-of-scope array
* fix: distributed rdataframe is not yet support
* fix: support conversion to arrow and back with non-option
Unknown type
* fix: intermittent segfault in PyPy
* fix: is_valid checks in header-only library
* fix: UnmaskedArray was missing its _nextcarry_outindex
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