The ArrayKit library provides utilities for creating and transforming NumPy arrays, implementing performance-critical StaticFrame operations as Python C extensions.

Code: https://github.com/InvestmentSystems/arraykit

Packages: https://pypi.org/project/arraykit

ArrayKit requires the following:

• Python>=3.9
• numpy>=1.19.5

Added TriMap utility class for join optimization.

Restored functional wheels for Mac OS x86_64.

Now building wheels for 3.12.

Now building functional wheels for Mac OS arm64 / Apple Silicon.

Updated types in pyi file.

Updated types in pyi file.

Minimum supported Python set to 3.8.

Minimum supported NumPy set to 1.19.5.

Improved performance of first_true_1d() and first_true_2d().

Restored behavior of Blockndex.rows to return -1 when BlockIndex has zero rows.

Added BlockIndex.iter_block().

Corrected issue in BlockIndex.shape when the BlockIndex has zero rows.

Corrected handling of empty selections in BlockIndex.iter_contiguous().

Corrected handling of ascending in BlockIndex.iter_contiguous() with Boolean arrays.

Corrected deallocation routines in BlockIndex.iter_contiguous().

Added BlockIndex.iter_contiguous() with options for ascending and reduce sequences.

Added slice_to_ascending_slice().

Updated BlockIndex.shape to internally cache the shape tuple.

Corrected BlockIndex.iter_select() handling of negative integers in sequences.

Updated BlockIndex.register() to handle 0-column 2D arrays and return False.

Added BlockIndex.rows, BlockIndex.columns properties.

Updated unset BlockIndex.dtype to return a float dtype.

Added BlockIndex, a tool to be used by TypeBlocks for mapping realized column positions to arrays.

Corrected potential issue in AK_CPL_resize_buffer that could segfault for very large offsets.

Simplified implementation of NaTType identification in isna_element().

Corrected potential memory leak in isna_element().

Optimization to delimited_to_arrays() character reading per line.

Improvements to delimited_to_arrays(), including proper loading of float16 types.

Extended deepcopy_array() to permit memo as None.

Corrected all compiler warnings on Windows.

Added first_true_1d(), first_true_2d(). Added tools for performance graphing.

Corrected segmentation fault resulting from attempting to parse invalid datetime64 strings in AK_CPL_to_array_via_cast.

Added include_none argument to isna_element(); implemented identification of Pandas pd.Timestamp NaT.

Updated most-recent NumPy references to 1.23.5.

Maintenance release.

Optimization to numerical array creation in delimited_to_arrays().

Set NumPy minimum version at 1.18.5.

Extended arguments to and functionality in split_after_count() to support the complete CSV dialect interface.

Now building wheels for 3.11.

Refinements to ensure typed-parsed ints are always int64 in delimited_to_arrays().

Implemented count_iteration, split_after_count.

Implemented delimited_to_arrays, iterable_str_to_array_1d.

Now building Python 3.10 wheels.

Added get_new_indexers_and_screen.

Updated minimum NumPy to 1.18.5

Improvements to performance of array_deepcopy.

Added dtype_from_element.

Revised cross compile releases.

Added dtype_from_element().

Explicit imports in __init__.py for better static analysis.

Added isna_element().

Redesigned package structure for inclusion of py.typed and __init__.pyi.

array_deepcopy now accepts kwargs and makes the memo dict optional.

Maintenance release of the following interfaces:

immutable_filter mloc shape_filter column_2d_filter column_1d_filter row_1d_filter array_deepcopy resolve_dtype resolve_dtype_iter