Python package for custom fixed-point and floating-point formats

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  • License: MIT License
  • Author: Oscar Gustafsson
  • Tags fixed-point , floating-point , finite word length
  • Requires: Python >=3.10
  • Provides-Extra: docs , test , test-hdl , dev , benchmark , comparison
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Project description

APyTypes

PyPI pre-commit.ci status License Workflow Status codecov DOI

APyTypes is a Python library providing algorithmic scalar and array data types, both fixed- and floating-point in Python. The main purpose is to simplify finite word length design and simulation. Written in C++, the focus is on performance and flexibility.

Documentation

https://apytypes.github.io/apytypes/

Installation

APyTypes is available in the Python Package Index and can be installed with the pip package installer:

pip install apytypes

Running

The package can now be used as:

$ python
>>> import apytypes as apy
>>> fx_a = apy.fx(3.5, int_bits=4, frac_bits=4)
>>> print(fx_a)
3.5
>>> fx_a
APyFixed(56, bits=8, int_bits=4)
>>> fx_b = apy.fx(1.25, int_bits=3, frac_bits=6)
>>> fx_a + fx_b
APyFixed(304, bits=11, int_bits=5)
>>> print(fx_a + fx_b)
4.75

Tests

Test dependencies can be installed by running pip install [.test] and then executed by pytest.

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  • License: MIT License
  • Author: Oscar Gustafsson
  • Tags fixed-point , floating-point , finite word length
  • Requires: Python >=3.10
  • Provides-Extra: docs , test , test-hdl , dev , benchmark , comparison
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0.4.0

0.3.1

0.3.0

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