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th: 3197 # About python-monitors `python-monitors` is a pure Python package to monitor formal specifications over temporal sequences. It supports several specification languages such as regular expressions and variants of temporal logic. The usage is fairly easy thanks to Python and allows fast prototyping of applications that monitor temporal sequences using these specifications. > **WARNING**: This repository is depreciated in favor of the project [Reelay](https://github.com/doganulus/reelay) but will remain as a pure Python solution albeit limited in functionatity and speed. Reelay implements the same runtime monitors and more in C++, which are accessible from Python via bindings. # Install The latest release of the package can be installed via `pip` such that pip install python-monitors This command will also install dependencies `python-intervals` and `antlr4-python3-runtime`. Alternatively, you can install directly from this repository by running the command pip install git+https://github.com/doganulus/python-monitors.git # Use ## MTL over propositions First generate a monitor from past Metric Temporal Logic (MTL) formula: from monitors import mtl my_mtl_monitor = mtl.monitor("always(q -> once[2,4](p))") Then process a data sequence (over propositions) by updating the monitor and collecting the output at each step: data = dict( p = [False, True, False, False, False, False, False, True, False, False, False, False, False, False, False], q = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, True ] ) for p, q in zip(data['p'], data['q']): output = my_mtl_monitor.update(p = p, q = q) print(my_mtl_monitor.time, output, my_mtl_monitor.states) ## MTL over predicates (also known as STL) Any Boolean-valued Python function can be used as a predicate in MTL formulas. They are passed to monitor construction via a dictionary as follows: def my_predicate(x): return x < 5 # Named parameters should share the same strings in the expression my_mtl_monitor = mtl.monitor("always[0,5](p(x))", p=my_predicate) for n in [9, 13, 4, 1, 2, 3,1,1,1,2]: output = my_mtl_monitor.update(x = n) print(my_mtl_monitor.time, my_predicate(n), output, my_mtl_monitor.states) ## Regular expressions over propositions and predicates Regular expressions over propositions and predicates are available in a similar fashion: from monitors import regexp def pred1(x): return x < 5 def pred2(x): return x > 12 # Named parameters should share the same strings in the expression my_reg_monitor = regexp.monitor("True*; p1(x); p2(x)+; p1(x)+", p1=pred1, p2=pred2) for n in [1, 1, 1, 1, 13, 13, 14, 1, 1, 2]: output = my_reg_monitor.update(x = n) print(output, my_reg_monitor.states) # Cite For MTL monitoring algorithm, please cite [Online Monitoring of Metric Temporal Logic using Sequential Networks](https://arxiv.org/abs/1901.00175). For RE monitoring algorithm, please cite [Sequential Circuits from Regular Expressions Revisited](https://arxiv.org/abs/1801.08979).Fetched URL: https://github.com/doganulus/python-monitors/raw/refs/heads/master/README.md
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