Git Product home page Git Product logo

cs100-lab3's Introduction

lab3

  • When the readability function is called, the following processes take place.
    • We make use of md5File to generate a unique hash of of the file based on it's contents. This is going to be the field in the database that we will use to identify the file. Our database contains the table readability with the following columns:
      1. id: INTEGER, the primary key, auto-incremented
      2. hash: TEXT
      3. numberOfSentences: INTEGER
      4. numberOfWords: INTEGER
      5. numberOfLetters: INTEGER
      6. numberOfNumbers: INTEGER
      7. ariIndex: NUMERIC, since it is going to store decimals
      8. clScore: NUMERIC, since it is going to store decimals
    • We check the database to see if we already have a data for this hash.
    • If we have the file, we just return the formatted log of the required output without calling colemanLiau and automatedReadabilityIndex functions.
    • If we do not have the file:
      • We make use of tokenize and tokenizeEnglish packages to get the number of sentences, words, letters and numbers. For letters and numbers, we simply use regular expressions to extract them.
      • We call colemanLiau to get the Coleman-Liau score.
      • We call automatedReadabilityIndex to get the Automated Readability Index score.
      • We save these values into the database so that we do not have to re-compute them every time readability is called with the same same file.
      • We return the formatted log of the required output.

cs100-lab3's People

Watchers

avatar avatar avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.