Automata Tactics Mac OS
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- Mac Os Versions
- Automata Tactics Mac Os Catalina
- Automata Tactics Mac Os Download
- Automata Tactics Mac Os Download
Released:
Tools to build automata from your custom rule
Project description
Tools to build automata from your custom rule.
This package provides a set of handy tools to programmatically build automata, so you can build NFA、DFA、MinimizedDFA、WFA from any custom rules.
Usage
Install
Import
See example in examples/NFAfromCustomRule.py
Mac Os Versions
BuildAutomata
characterStruct
Build simple (0)-[a]->(1)
automata
unionStruct
Build automata that is an 'or' of two sub-automata (1)<-[a]-(0)-[b]->(1)
concatenationStruct
Build automata that is an 'and' of two sub-automata (0)-[a]->(1)-[b]->(2)
starStruct
Automata Tactics Mac Os Catalina
Build automata that looks like the 'Kleene closure'
skipStruct
Build automata that looks like the 'Kleene closure' but without the loop back (1)<-[ε]-(2)
, so it only match the token once at most.
repeatRangeStruct
Build automata that will match the same token for several times (0)-[a]->(1)-[a]->(2)-[a]->(3)
repeatStruct
Build automata that will match the same token for n to m times
(0)-[a]->(1)-[a]->(4), (0)-[a]->(2)-[a]->(3)-[a]->(4)
Automata
See example in features/steps/customRule.py
where executor
is a function like the one in examples/NFAfromCustomRule.py:
setExecuter
Set an executor to the automata that can freely use state and transition of the automata, and return a boolean value.
setTokenizer
Set an tokenizer to the automata that can transform string to list of string token, which will be used by the executer.
NFAtoDFA
Make automata state transitions not so ambiguous
DFAtoMinimizedDFA
Allow you minify Automata state
Weighted Finite Automata
WFA, it can execute automata use matrix multiplication, so it can be very fast compare to brute force execution, especially when state space is large.
Automata Tactics Mac Os Download
get_word_to_index
Given [['token', 'another'], ['token_in_rule']]
, return something like
Automata Tactics Mac Os Download
So we can translate automata state to a matrix.
WFA
Given an automata, a word index like {'token': 0, 'another': 1, ...}
, and a function that transform automata to tensor (see example at customRuleDFAToTensor), return a WFA instance.
Development
Environment
Create environment from the text file:
Save env file: conda list --explicit > automataTools-env.txt
Python Path
Create a .env
file with content PYTHONPATH=automataTools
Publish
To pypi
To Conda
Resources
Probably the original reference source
Release historyRelease notifications RSS feed
2.0.1
2.0.0
1.1.1
1.1.0
1.0.9
1.0.8
1.0.7
1.0.6
1.0.5
1.0.4
1.0.3
1.0.2
1.0.1
1.0.0
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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Filename, size automata-tools-2.0.1.tar.gz (12.8 kB) | File type Source | Python version None | Upload date | Hashes |
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