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https://github.com/static-frame/arraykit

Python C Extensions for StaticFrame
https://github.com/static-frame/arraykit

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Python C Extensions for StaticFrame

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arraykit

=============



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



Dependencies

--------------



ArrayKit requires the following:



- Python>=3.9

- numpy>=1.19.5



What is New in ArrayKit

-------------------------



0.10.0

............



Now building wheels for Python 3.13.



0.9.0

............



Added ``TriMap.map_merge()``.



0.8.3

............



Corrected incorrect component of ``_TLabel`` in ``__init__.pyi``.



0.8.2

............



Updated build configuration.



0.8.1

............



Updated build configuration.



0.8.0

............



Now building with NumPy 2.0.



0.7.2

............



Improved ``array_to_tuple_array()`` and ``array_to_tuple_iter()`` to preserve ``tuple`` in 1D arrays.



0.7.1

............



Extended ``array_to_tuple_array()`` and ``array_to_tuple_iter()`` to support 1D arrays.



0.7.0

............



Added ``array_to_tuple_array()``.



Added ``array_to_tuple_iter()``.



0.6.3

............



Optimized memory allocation strategy for ``nonzero_1d()``.



0.6.2

............



Extended ``nonzero_1d()`` to support non-contiguous arrays.



Optimizations to ``TriMap`` when mapping to object and flexible dtypes.



0.6.1

............



Enhancements and optimizations to ``TriMap``.



Added ``nonzero_1d()``.



0.6.0

............



Added ``TriMap`` utility class for join optimization.



0.5.1

............



Restored functional wheels for Mac OS ``x86_64``.



0.5.0

............



Now building wheels for 3.12.



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



0.4.11

............



Updated types in ``pyi`` file.



0.4.10

............



Updated types in ``pyi`` file.



Minimum supported Python set to 3.8.



Minimum supported NumPy set to 1.19.5.



0.4.9

............



Improved performance of ``first_true_1d()`` and ``first_true_2d()``.



0.4.8

............



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



0.4.7

............



Added ``BlockIndex.iter_block()``.



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



0.4.6

............



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



0.4.5

............



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



0.4.4

............



Corrected deallocation routines in ``BlockIndex.iter_contiguous()``.



0.4.3

............



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



0.4.2

............



Added ``slice_to_ascending_slice()``.



Updated ``BlockIndex.shape`` to internally cache the shape tuple.



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



0.4.1

............



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.



0.4.0

............



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.



0.3.4

............



Simplified implementation of ``NaTType`` identification in ``isna_element()``.



0.3.3

............



Corrected potential memory leak in ``isna_element()``.



0.3.2

............



Optimization to ``delimited_to_arrays()`` character reading per line.



0.3.1

............



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.



0.3.0

............



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



0.2.9

............



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



0.2.8

............



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



0.2.7

............



Updated most-recent NumPy references to 1.23.5.



0.2.6

............



Maintenance release.



0.2.5

............



Optimization to numerical array creation in ``delimited_to_arrays()``.



0.2.4

............



Set NumPy minimum version at 1.18.5.



0.2.3

............



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



Now building wheels for 3.11.



0.2.2

............



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



0.2.1

............



Implemented ``count_iteration``, ``split_after_count``.



0.2.0

............



Implemented ``delimited_to_arrays``, ``iterable_str_to_array_1d``.



0.1.13

............



Now building Python 3.10 wheels.



0.1.12

............



Added ``get_new_indexers_and_screen``.



0.1.10

............



Updated minimum NumPy to 1.18.5



0.1.9

............



Improvements to performance of ``array_deepcopy``.



Added ``dtype_from_element``.



0.1.8

............



Revised cross compile releases.



0.1.7

............



Added ``dtype_from_element()``.



0.1.6

............



Explicit imports in ``__init__.py`` for better static analysis.



0.1.5

............



Added ``isna_element()``.



0.1.3

............



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



``array_deepcopy`` now accepts kwargs and makes the ``memo`` dict optional.



0.1.2

..........



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``