Take Blip Scanner
Project description
Introduction
Take Blip Scanner - Finite State Machine implentation for Text Scanner
Getting Started
-
Use suggested conda env inside 'conda_env' folder
- Create: conda env create --file conda_env\take_scanner.yml
- Update: conda env update --file conda_env\take_scanner.yml
-
Run 'python -m build' in terminal to create a local distribution
- Will create 'dist' folder with lattest version of TakeBlipScanner
-
Install it
- pip install dist\take-blip-scanner-X.Y.Z.tar.gz
-
run benchmark with 'python benchmark\benchmark_lex.py benchmark\benchmark.txt 10 0'
- 'benchmark\benchmark.txt' is the bench file
- '10' - is the number of runs to generate statistics
- '0' - is the benchtype: 0 - full bench, 1 - just the Scanner Lexycal, 2 - just the SentenceTokenizer
-
if outputs looks liks bellow, everyting is ok
START: Benchmark
Lexycal_2 >> With 3 runs, takes 1.295s * 0.147; Median: 1.212
Lexycal_3 >> With 3 runs, takes 1.224s * 0.029; Median: 1.235
SentenceTokenizer >> With 3 runs, takes 1.811s * 0.010; Median: 1.812
00:00:13
END: Benchmark
Build and Test
- BUILD - run 'python -m build'
- TEST - Two steps:
- install local package ´pip install dist\take-blip-scanner-X.Y.Z.tar.gz´
- run 'pytest'
Contribute
TODO: Explain how other users and developers can contribute to make your code better.
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