version 0.4.10

fxpmath v0.4.10

v0.4.10 is a stability and modernization release focused on packaging updates, correctness fixes, reshape/bitwise behavior alignment, and stronger regression coverage across platforms and Python versions.

Highlights

• Migrated packaging metadata to PEP 517 / PEP 621 with pyproject.toml as canonical source.
• Added dynamic versioning from fxpmath.__version__.
• Added installation smoke testing to validate install/import/version behavior.
• Fixed complex uraw conversion correctness (#102).
• Fixed repeated increment + int() casting regression (#98).
• Implemented/clarified complex bitwise behavior and expanded regression coverage (#55).
• Improved reshape behavior compatibility with NumPy, including explicit reshape_inplace.
• Expanded CI coverage (multi-OS + modern Python matrix) and upgraded core Actions to current versions.

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Solved / Addressed Issues

From v0.4.9 changelog

• #41 Overflow behavior at instantiation fails for long words
• #48 Flags not propagated
• #49 Reversal of .bin()
• #76 NumPy issue with bigger bit sizes
• #77 Precision error when numpy.reshape
• #80 Creation of Fxp with negative n_frac
• #89 Infinite loop on exponent

Addressed in commits/changelog during v0.4.10 cycle

• #55 Complex bitwise behavior confusion
• #66 Unexpected behavior using equal() with NumPy arrays
• #67 Complex dtype error at certain precision
• #79 Deprecation using pip v23.1
• #85 Wrap overflow breaks on 0.0 value
• #86 Rounding-mode feature work and cleanup tracking updates
• #94 Missing py.typed marker for typing tools
• #95 Invalid dtypes allowed
• #98 'int' object has no attribute 'flatten' regression
• #102 Incorrect complex float→integer conversion path

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Detailed Change Notes

• Packaging modernization with pyproject.toml + dynamic version source.
• Added installation smoke tests (tests/test_installation.py).
• Complex uraw conversion fix + regression tests.
• Scalar/object int-casting hardening + regression tests.
• Complex bitwise semantics implementation and test expansion.
• Bitwise internals refactor for broadcasted array-vs-array operations.

• 64-bit bitwise regression coverage for scalar/array/broadcast paths.

• Reshape API alignment with NumPy semantics:
  • reshape() copy-style behavior
  • reshape_inplace(shape, order='C') for explicit in-place reshape
  • deprecation warning for Fxp.shape = ...
• Compatibility/test updates across Python and OS CI matrix.

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Thanks

Huge thanks to all reporters and contributors who helped shape this release.

Issue Reporters

• #41 @desvdp
• #48 @edschofield
• #49 @nfrancque
• #55 @ruoting0103
• #66 @pablokrupa
• #67 @VincentChen1017
• #76 @DaveKirkland
• #77 @Ethan-lsh
• #79 @sebaestschn
• #80 @alb-pol
• #85 @sjgallagher2
• #86 @danilo-bc
• #89 @jrmoserbaltimore
• #94 @jtmoon79
• #95 @OliverKillane
• #98 @jmriddell
• #102 @javValverde

Code Contributors (since v0.4.9 to release branch)

• falcaraz
• Matthieu Dartiailh

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Upgrade Notes

• Fxp.shape = ... is deprecated; use reshape() or reshape_inplace().
• Package version for this release is 0.4.10.
• Tag to publish after merge: v0.4.10.

v0.4.9

version 0.4.9

• Fix wrap fuction over n_word_max (issue #41).
• Inaccuracy flag is propagated to a new Fxp or resulting Fxp if one or more input Fxp are inaccurate (issue #48).
• New from_bin method and function. Set value or create new Fxp from a binary string (issue #49).
• Support to complex binary strings as input format.
• Force to config.op_input_size='best' when power operation has an constant operator (non-Fxp). Add warning message. (issue #89).
• Selection of prefix for binary and hexadecimal representations.
• Fix cumsum function bug when dealing with sizes bigger than 32 bits (windows) / 64 bits (linux) (issue #76).
• Fix numpy.reshape function handling. This function was returning optimal size instead of same by default (issue #77).
• Fix negative number parsing in dtype string (issue #80).

Solved issues

#41 #48 #49 #76 #77 #80 #89

Thanks to

@desvdp @edschofield @nfrancque @Ethan-lsh @alb-pol @jrmoserbaltimore for reporting fixed issues and everyone else whose issues are still open.

version 0.4.8

version 0.4.8

• Fix value dtype handling for windows OS and uint as 32 bits (issue #60).
• __getitem__ method return a Fxp with raw value as view (issue #62).
• Add tests for issues #60 and #62.

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Thanks to:

@DanChianucci , @lucacutrignelli

version 0.4.7

version 0.4.7

• Keep val as original_vdtype and not as object when it is convenient (solve issue #60).
• Convert vdtype to float when scaling transformation is applied.
• Add abs method.

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Thanks to:
@DanChianucci for issue #60

version 0.4.6

version 0.4.6

• Fix complex truediv and floordiv methods (issue #53).
• Fix complex binary, hexadecimal and base representation for arrays (issue #56).
• Tests updates for complex representations.
• Solve init by dtype when it is complex (issue #58).

Thanks to:
@ruoting0103 , @mousecat98

version 0.4.5

version 0.4.5

• Fix FutureWarning in subdtype 'str' comparison (issue #45).
• dtype argument added to resize method.
• new method get_dtype to get dtype using argument notation.
• Docstring of get_dtype, resize, reshape, flatten, set_val, astype, get_val, raw, uraw, equal
• Order parameter for reshape and flatten methods.

Thanks to

@qarlosalberto (issue #45)

version 0.4.4

version 0.4.4

• Fix wrapping and scaling issue #44.

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thanks to @desvdp

version 0.4.3

version 0.4.3

• Fxp adds config as optional init parameter (kwarg).
• Functions (operators) over one and two variables copy first operator configuration by default.
• Changes above fixed wrap overflowing bug after operation (issue #42 solved).
• Wrap function of utils fix bug when data has more than n_word_max (64 bits in the most of cases) (issue #41 soved).
• Config new methods: copy, deepcopy.
• Fix warning about internal complex check (issue #39).
• Add link implementation between functions.truediv with numpy.divide.
• Add axes parameter to transpose method.

version 0.4.2

version 0.4.2

• Add template to Config object.
• Fix config update from Fxp's template.

version 0.4.1

changelog

• Test Numpy precision at init.
• Independent definition of n_word_max and error for config.
• Fix astype casting when dtype and vdtype is None.
• Fix casting to object in extended cumprod function.
• Independent definition of n_word_max and error for config.
• Fix astype casting when dtype and vdtype is None.
• Fix casting to object in extended cumprod function.
• Fix casting to object in extended precision multiply.
• Fix casting to object inside constructor.
• fix integer repr
• support numpy array of strings

Issues fixed: #26, #31