ashwinreddy

function helloWorld() {
    alert("hello world");
}

ashwinreddy

cp /code/mjkey.txt /root/.mujoco/mjkey.txt
pip install -r /code/requirements.txt --quiet
pip install -e /code/
softlearning run_example_local examples.development --domain=$1 --task=$2 --algorithm=$3

ashwinreddy

;; -*- mode: emacs-lisp -*-
;; This file is loaded by Spacemacs at startup.
;; It must be stored in your home directory.
;; This is Ashwin Reddy's custom spacemacs config

(defun dotspacemacs/layers ()
  "Configuration Layers declaration.
You should not put any user code in this function besides modifying the variable
values."
  (setq-default

ashwinreddy

hs.loadSpoon("ReloadConfiguration")
spoon.ReloadConfiguration:start()


function resetImage()
    screen = hs.screen.mainScreen()
    screen:desktopImageURL("file:///Users/areddy/Pictures/original_8ee2e1707ce7198a75211221f99e6c2d.jpeg")
end

function updateImage()

ashwinreddy

class HuffmanTree(object):
    def __init__(self, left, right):
        self.left = left
        self.right = right
    
    def encode(self, symbol):
        for branch, instruction  in ((self.left, "0"), (self.right, "1")):
            if type(branch) is HuffmanTree:
                if branch.encode(symbol):

ashwinreddy

import itertools
import numpy as np

class BanzhafPower(object):
    def __init__(self, voting_system):
        self.voting_system = voting_system
        self.generate_coalitions()
        self.compute_critical_count()
    
    def generate_coalitions(self):

ashwinreddy

## Cylindrical
![Imgur](https://i.imgur.com/hMRNeAw.png)

Essentially extends polar to include a $z$-component.
$(r,\theta,z)$

$$
r = x\cos\theta \\\
r = y\sin\theta \\\
z = z

ashwinreddy

#!/usr/bin/env bash

function disp() {
  printf "\033[1;31m";
  printf "$1";
  printf "\033[0m\n";
}

# Atom installation script
# By Ashwin Reddy

ashwinreddy

import urllib2
import urllib
import json

music_type = raw_input("Track or Album? [t/a] ")

if music_type.startswith('t'):
    music_type = 0
elif music_type.startswith('a'):
    music_type = 1

ashwinreddy

# TODO: shuffle dataset before gradient descent?

# import random libraries
from random import random, shuffle

# this function scales down from [0,1) to [0,0.16) in order to reduce the amount of "wobble"
def rand():
    return random()/6

# main regressor class