Christina Levengood lvngd

## text_normalizer.py
import re
import string
import unidecode
from nltk.tokenize import sent_tokenize
from nltk.tokenize import word_tokenize
from nltk.stem import WordNetLemmatizer
from nltk.corpus import stopwords
import gensim.downloader as api
from pycontractions import Contractions
from word2number import w2n

## convex_hull.py
import random

"""
Computes the Convex Hull with the Graham Scan algorithm

Use:
	h = ConvexHull()
	print(h.hull)
"""

## d3_pictogram_demo_circles.html
<!DOCTYPE html>
<meta charset="utf-8">
<html>
  <head>
	<script src="http://d3js.org/d3.v4.js"></script>
  </head>

<body>
	<div id='grid-container'>
		<div id='grid-chart'></div>

## network_graph_demo_d3.html
<html>
	<head>
		<script src="https://d3js.org/d3.v4.min.js"></script>
        <style>

            label {
                font: "Helvetica Neue", Helvetica, Arial, sans-serif;

                }
        </style>

## rectCollide.js
function rectCollide() {
    var nodes,sizes,masses;
    var strength = 1;
    var iterations = 1;
    var nodeCenterX;
    var nodeMass;
    var nodeCenterY;

  function force() {

## sudoku_solver.py
from random import shuffle
import copy
"""
SudokuGenerator

input: grid can be a 2-D matrix of a Sudoku puzzle to solve, or None to generate a new puzzle.
"""


## rectCollide.js
function rectCollide() {
    var nodes,sizes,masses;
    var strength = 1;
    var iterations = 1;
    var nodeCenterX;
    var nodeMass;
    var nodeCenterY;

  function force() {

## albumYear.js
  let yearAlbum  = {};
  let yearCount = new Map();
  for (let i = 0; i < data.length; i++) {
      for (let j = 0; j < data[i].bandAlbums.length; j++) {
          if (!yearCount.has(data[i].bandAlbums[j].albumYear)) {
              yearCount.set(`${data[i].bandAlbums[j].albumYear}`, 1)

          } else {
              yearCount.set(`${data[i].bandAlbums[j].albumYear}`, yearCount.get(`${data[i].bandAlbums[j].albumYear}`) + 1)
     }

## createTables.js
/*
	1st create database:

	-go into the interactive interpreter
			psql postgres

	Here we're creating:
		1. a databased called 'darklyrics'
		2. a user 'darklyricsuser'
		3. with password 'darklyricspassword'

## jsonToPostgres.js
const knex = require('knex')({
  client: 'pg',
  connection: 'postgresql://darklyricsuser:darklyricspassword@localhost/darklyrics',
});

const fs = require('fs');
const data = JSON.parse(fs.readFileSync('/Users/christina/Downloads/results(1).json', 'utf8'));


async function insertBand(band) {
	import re
	import string
	import unidecode
	from nltk.tokenize import sent_tokenize
	from nltk.tokenize import word_tokenize
	from nltk.stem import WordNetLemmatizer
	from nltk.corpus import stopwords
	import gensim.downloader as api
	from pycontractions import Contractions
	from word2number import w2n
	import random

	"""
	Computes the Convex Hull with the Graham Scan algorithm

	Use:
	h = ConvexHull()
	print(h.hull)
	"""
	<!DOCTYPE html>
	<meta charset="utf-8">
	<html>
	<head>
	<script src="http://d3js.org/d3.v4.js"></script>
	</head>

	<body>
	<div id='grid-container'>
	<div id='grid-chart'></div>
	<html>
	<head>
	<script src="https://d3js.org/d3.v4.min.js"></script>
	<style>

	label {
	font: "Helvetica Neue", Helvetica, Arial, sans-serif;

	}
	</style>
	function rectCollide() {
	var nodes,sizes,masses;
	var strength = 1;
	var iterations = 1;
	var nodeCenterX;
	var nodeMass;
	var nodeCenterY;

	function force() {
	from random import shuffle
	import copy
	"""
	SudokuGenerator

	input: grid can be a 2-D matrix of a Sudoku puzzle to solve, or None to generate a new puzzle.
	"""
	let yearAlbum = {};
	let yearCount = new Map();
	for (let i = 0; i < data.length; i++) {
	for (let j = 0; j < data[i].bandAlbums.length; j++) {
	if (!yearCount.has(data[i].bandAlbums[j].albumYear)) {
	yearCount.set(`${data[i].bandAlbums[j].albumYear}`, 1)

	} else {
	yearCount.set(`${data[i].bandAlbums[j].albumYear}`, yearCount.get(`${data[i].bandAlbums[j].albumYear}`) + 1)
	}
	/*
	1st create database:

	-go into the interactive interpreter
	psql postgres

	Here we're creating:
	1. a databased called 'darklyrics'
	2. a user 'darklyricsuser'
	3. with password 'darklyricspassword'
	const knex = require('knex')({
	client: 'pg',
	connection: 'postgresql://darklyricsuser:darklyricspassword@localhost/darklyrics',
	});

	const fs = require('fs');
	const data = JSON.parse(fs.readFileSync('/Users/christina/Downloads/results(1).json', 'utf8'));


	async function insertBand(band) {