Blosc2 v3.12.2

What's Changed

• Hotfix to change WASM wheel hosting to separate repo

Blosc2 v3.12.1

What's Changed

• Allow saving of numba-decorated lazyudfs by @lshaw8317 in #538
• Automate upload of WASM wheels to GitHub pages

Blosc2 v3.12.0

What's Changed

• LazyUDF objects can now be saved to disk
• Calls to __matmul__ NumPy ufunc now passed to blosc2.matmul
• Streamlined LazyUDF.compute is now much more robust and functional
• The get_chunk method for LazyExpr is more efficient and enabled for general LazyArray objects
• LazyExpr calculation can now be done even with expressions with pure scalar operands, e.g 10 * 3 +1..

Full Changelog: v3.11.1...v3.12.0

Blosc2 3.11.1

What's Changed

✅ Change the NDArray.size to return the number of elements in array, instead of the size of the array in bytes
✅ Bug fixes for lazy expressions to allow a wider range of functionality
✅ Small bug fix for slice indexing with step larger than chunksize
✅ Tweak automatic chunk sizing of results for certain (e.g. linalg) operations to enhance performance
✅ Various cosmetic fixes and streamlining (thanks to the indefatigable @DimitriPapadopoulos)

Full Changelog: v3.11.0...v3.11.1

Blosc2 v3.11.0

What's Changed

• Small optimisation for chunking in lazy expressions
• Extend Blosc2 computation machinery to accept general array inputs (PR #510)
• Refactoring and streamlining of get/setitem for non-unit steps (PR #513)
• Remote array testing now performed with cat2cloud (PR #511)
• Added argmax/argmin functions (PR #514)
• Change squeeze to return view (rather than modify array in-place) (PR #518)
• Modify setitem to load general array inputs into NDArrays (PR #517)

Full Changelog: v3.10.2...v3.11.0

Release 3.10.2

Changes from 3.10.1 to 3.10.2

• LazyExpr.compute() now honors the out parameter for regular expressions (and not only for reductions). See PR #506.

Blosc2 v3.10.1

What's Changed

• Python 3.14 by @DimitriPapadopoulos in #504
• Minor pre-commit changes by @DimitriPapadopoulos in #505
• Optimisations and fixes for lazy expression evaluation
• Bumped requirement for numexpr to version 2.14.1 for improved tan/tanh overflow behaviour
• Now able to use blosc2 in AWS Lambda

Blosc2 v3.10.0

What's Changed

• Update documentation for thread management by @orena1 in #495
• Update pre-commit hooks by @pre-commit-ci[bot] in #498
• Add general lazy evaluation for all blosc2 functions by @lshaw8317 in #496
• Improve inheritance by @lshaw8317 in #500

New Contributors

• @orena1 made their first contribution in #495

Full Changelog: v3.9.1...v3.10.0

Blosc2 v3.9.1

Changes from 3.9.0 to 3.9.1

• Bumped to numexpr 2.13.1 to incorporate new maximum/minimum NaN handling and +/* for booleans
  which matches NumPy behaviour.
• Refactoring in order to ensure Blosc2 functions with NumPy 1.26.
• Streamlined documentation by introducing Array Protocol

Blosc2 v3.9.0

Most changes come from PR #467 relating to array-api compliance.

• C-Blosc2 internal library updated to latest 2.21.3, increasing MAX_DIMS from 8 to 16

• numexpr version requirement pushed to 2.13.0 to incorporate round, sign, signbit, copysign, nextafter, hypot, maximum, minimum, trunc, log2 functions, as well as allow integer outputs for certain functions when integr arguments are passed. We also add floor division (//) and full dual bitwise (logical) AND, OR, XOR, NOT
  support for integer (bool) arrays.

• Extended linear algebra functionality, offering generalised matrix multiplication for arrays of arbitrary dimension via tensordot and an improved matmul. In addition, introduced vecdot, diagonal and outer, as well as useful indexing and associated functions such as take, take_along_axis, meshgrid and broadcast_to.

• Added many ufuncs and methods (around 60) to NDArray to bring the library into further alignment with the array-api. Introduced a chunkwise lazyudf paradigm which is very powerful in order to implement clip and logaddexp.

• Fixed a subtle but important bug for expand_dims (PR #479, PR #483) relating to reference counting for views.

• Various typos and other fixes due to @DimitriPapadopoulos !