Today I Learned

TIL, 2018-04-01, Reading about hash tables, adding Lit.css, ES6 reading.

Musings, React and CSS

  • yarn eject to split out everything from create-react-app.
  • create-react-app image in CSS: plop them in src/, then do a background-image: url("./aperture-vintage-346923-unsplash.jpg");.
  • create-react-app importing CSS that were packaged:
    • import '@ajusa/lit/dist/lit.css'; and import '@ajusa/lit/dist/util.css';. Check out the node-modules directory (you have access to that directory, just figure out what to include afterwards).
  • The Lit library is super small, it’s also cool for small apps like what I’m doing re: writing prompts.
  • fetch vs Axios.js.
    • Used to make HTTP requests from Node.js and XML HttpRequests from the browser.
    • Supports the Promise API.
    • Also performs automatic transforms of JSON data.
  • JS exports: A simple intro to Javascript imports and exports and Reference
    • A “module” in JS can be thought of as a container that holds related code which can then be exported to another file.
    • export default is used to export a single class, function, or primitive from a script file.
ES 5:

var React = require('react');        // Require 'react' using the 'require' statement
var Component = React.Component;     // Set 'Component' to equal to the Component module of the React library.
require('./App.css');                // Include the css file which doesn't need to be set to a variable.

module.exports = App;                // You careate this component and export it.

module.exports = {                   // Exporting a module object with two components
  Color: Color,
  Animal: Animal
}

var { Color } = require('./Shapes'); // Importing
var { Animal } = require('./Shapes');

ES 6:

import { Color, Animal }, from './Shapes';
export class Color extends Component { ... }

Musings, Computer Science: Hash table.

Reference

  • Hash Table: uses a hash function to compute an index into an array of buckets or slots.
    • When a key is put into a hash function, it returns an index. You use the index for lookups.
    • Basic requirement: the function should provide a uniform distribution of hash values. Non-uniform means higher chance of collisions.
    • Choosing a hash function: If one uses dynamic resizing with exact doubling/halving of the table size, then the hash function needs to be uniform only when the size is a power of two. Other hashing algorithms prefer to have the size be a prime number.
    • Separate chaining:
      • So for the array that was created to store the results of the hash function, each member of the array would be either a linked list or a head cell.
      • If linked list, the key is the actual key that was initially used. what happens is:
        • Look for the hash result of the key. This would result in the linked list.
        • Traverse over the linked list, using the actual key as the key to find the values.
        • Cost: depends on the average keys per bucket. It’s actually bad if you have one bucket with so many keys inside.
        • Load factor: Stored keys/number of slots. If you have 1K slots and 10K stored keys (load factor 10), this will be slower than a 10K slot table, but still 1K times faster than a plain sequential list.
        • Problems: when storing small keys and values, the space overhead of the next pointer in each entry record can be significant. Also, traversing a linked list has poor cache performance, making the processor cache ineffective.
      • List head cells.
        • They store the first record of each chain in the slot itself, to decrease the pointer traversals by one. Disadvantage: an exmpty bucket takes the same space as a bucket with one entry.
    • Open addressing: To be continued!

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