blakesanie

import yfinance as yf
import sys

if len(sys.argv) != 2:
    raise Exception("please provide ticker")

symbol = sys.argv[1].upper()

ticker = yf.Ticker(symbol)

blakesanie

from Stock import Stock
from finsymbols import symbols
import csv
import os
import json

companies = symbols.get_sp500_symbols()
print(len(companies))

blakesanie

import numpy as np
from sklearn.linear_model import LinearRegression

def exponentialRegression(closing):
    x = np.arange(1,len(closing) + 1).reshape((-1, 1))
    y_normalized = np.divide(closing, closing[0])
    y_ln = np.log(y_normalized)
    model = LinearRegression()
    model.fit(x, y_ln)
    scalar = np.exp(model.intercept_) * closing[0]

blakesanie

import sys
from regression import exponentialRegression
import matplotlib.pyplot as plt
import time
import requests
import keys
import numpy as np

class Stock:

blakesanie

from PIL import Image
import colorsys
import math
import os

#frame parameters
width = 1000 #pixels
x = -0.65
y = 0
xRange = 3.4

blakesanie

var largeImages = [];
var pixelData;
var mosaic = document.getElementById("mosaic");
var mosaicCtx;

var width;
$("#generate").click(async function() {
  var albumCovers = await getAllAlbumCovers();
  if (albumCovers.length == 0) {
    alert("Select at least one playlist to create your mosaic.");

blakesanie

var stateKey = "spotify_auth_state";

function getHashParams() {
  var hashParams = {};
  var e,
    r = /([^&;=]+)=?([^&;]*)/g,
    q = window.location.hash.substring(1);
  while ((e = r.exec(q))) {
    hashParams[e[1]] = decodeURIComponent(e[2]);
  }

blakesanie

var express = require("express");
var app = express();

app.use(express.static("spotifyMosaic")); //directory of website files
app.listen(8888);
console.log("Listening on port 8888");

blakesanie

import itertools
from src.report import BaseFileReport
from src.utils import dict_verify


# Currently we simply do a shallow parse.
class SnapReport(BaseFileReport):
    def __init__(self, path, **kwargs):
        # Turn etree elements into snap reports
        super(SnapReport, self).__init__(path)

blakesanie

import re
import logging
from src.utils import UnsupportedFiletypeError

_logger = logging.getLogger('codediff')


class PathValidator:
    def validate_dir(self, file_paths):
        _logger.warning('This validator does nothing. Use a subclass such as `XmlPathValidator`')