ndarray 0.2.0

High-performance N-dimensional arrays and numerical operations with SIMD acceleration and BLAS/LAPACK bindings.

0.2.0

• 64-Bit Array Dimensions, Strides, & Native Kernels: Removed the 32-bit (2^31 - 1) element count, shape dimension, and stride ceiling across NDArray creation, slicing, broadcasting, .npy/.npz I/O, FFT (package:pocketfft 0.2.0), and native C/C++ kernels (int64_t), with division-based 64-bit signed integer overflow checks.
• Breaking — NDArray<Int64> Index, Count, & Choice Operations: Widened argsort, argpartition, searchsorted, argmax, argmin, nonzero, flatnonzero, argwhere, count_nonzero, and digitize (along with NDArray.argsort, NDArray.argmax, NDArray.argmin, and 1-argument where) from NDArray<Int32> to NDArray<Int64> to match 64-bit NumPy intp (argsortAs, argpartitionAs, searchsortedAs, and digitizeAs remain available for explicit DType.int32 outputs). Updated select and multinomial to default to DType.int64 instead of DType.int32, and aligned choose and select with NEP 50 weak scalar promotion rules when mixing Dart int scalars with narrow integer arrays.
• 64-Bit Index Generation & Coordinate Utilities: Added unravel_index (unravelIndex), ravel_multi_index (ravelMultiIndex), indices, sparse_indices (sparseIndices), diag_indices (diagIndices), diag_indices_from (diagIndicesFrom), tril_indices (trilIndices), tril_indices_from (trilIndicesFrom), triu_indices (triuIndices), triu_indices_from (triuIndicesFrom), mask_indices (maskIndices), and IndexOrder, all returning NDArray<Int64> coordinates.
• OpenBLAS / LAPACK blasint Boundary Guards: Added explicit LP64 32-bit blasint boundary checks across linear algebra and tensor contraction routines, throwing an UnsupportedError when matrix dimensions or leading strides exceed 2^31 - 1.

0.1.0

• Initial release with N-dimensional arrays, slicing, broadcasting, BLAS/LAPACK linear algebra, and FFT.