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README.md

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[![build](https://github.com/statycc/pymwp/actions/workflows/build.yaml/badge.svg)](https://github.com/statycc/pymwp/actions/workflows/build.yaml)
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[![codecov](https://codecov.io/gh/statycc/pymwp/branch/main/graph/badge.svg?token=4v3zRbkAjM)](https://codecov.io/gh/statycc/pymwp)
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[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pymwp)](https://pypi.org/project/pymwp/)
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[![PyPI](https://img.shields.io/pypi/v/pymwp)](https://pypi.org/project/pymwp/)
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7879822.svg)](https://doi.org/10.5281/zenodo.7879822)
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```
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is satisfactory because—between the initial variable values (`Xi`) and the final values (`Xi'`)—all variables have a polynomially bounded data-flow (omitting constants):
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`X1' ≤ X2+X3` and `X2' ≤ X2` and `X3' ≤ X3`. pymwp derives this bound automatically ([ demo](https://statycc.github.io/pymwp/demo/#original_paper_example3_1_b.c)).
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`X1' ≤ X2+X3` and `X2' ≤ X2` and `X3' ≤ X3`. pymwp derives this bound automatically ([ demo](https://statycc.github.io/pymwp/demo/#original_paper_example3_1_b.c)).
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However, program
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```
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fails the analysis, because `X1` grows exponentially (`X1'` = $2^{\texttt{X2}}$).
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pymwp reports a program is _infinite_ when no polynomial bound can be derived ([ demo](https://statycc.github.io/pymwp/demo/#original_paper_example3_1_d.c)).
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pymwp reports a program is _infinite_ when no polynomial bound can be derived ([ demo](https://statycc.github.io/pymwp/demo/#original_paper_example3_1_d.c)).
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pymwp is inspired by [_"A Flow Calculus of mwp-Bounds for Complexity Analysis"_](https://doi.org/10.1145/1555746.1555752).

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