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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'

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