Shekhar Prasad Rajak Shekharrajak

## nlinsolve_matrix.py
def nlinsolve_matrix(system, symbols):
    r"""
    reference : http://people.math.gatech.edu/~aleykin3/math4803spr13/BOOK/chapter1.pdf
    page :9 example = 2.2
    currently for 2 equations

    Examples
    >>> from sympy.solvers.solveset import nlinsolve_matrix
    >>> nlinsolve_matrix([x*y - 1, 4*x**2 + y**2 - 5],[x,y])
    >>> {(-1, -1), (-1/2, -2), (1/2, 2), (1, 1)}

## gsoc16-projects-csv.py
import csv
import cStringIO
import codecs
import glob
import json
import requests


def fetch_jsons():
    url = ('https://summerofcode.withgoogle.com/api/program/current/project/'

## matrix.py
import random
import multiprocessing
from itertools import starmap, izip, repeat, imap
from operator import mul

def calc_row_of_product_matrix(a_row, b, izip=izip):
    '''Calculate a row of the product matrix P = A * B
    Arguments:
      a_row is af A
      b is the B matrix

## autograd_utils.py
"""
This module manages interactions with the autograd library.
"""
import autograd.numpy as anp
import numpy as np
from autograd import elementwise_grad, jacobian
from sympy import lambdify
# NumPyPrinter requires unreleased sympy 0.7.7 (in sympy master)
# if you aren't using Piecewise or logical operators
# you can change NumPyPrinter to LambdaPrinter in this module

## hermite.py
from sympy import *

# https://www.rose-hulman.edu/~finn/CCLI/Notes/day09.pdf

a0, a1, a2, a3, t = symbols('a0 a1 a2 a3 t')

polynomial = a0 + a1*t + a2*t**2 + a3*t**3
polynomial_d = diff(polynomial, t)

p0, v0, p1, v1 = symbols('p0 v0 p1 v1')

## User.js
/**
* User.js
*
* @description :: TODO: You might write a short summary of how this model works and what it represents here.
* @docs        :: http://sailsjs.org/#!documentation/models
*/

var bcrypt = require('bcrypt');

module.exports = {

## layout.ejs
<!DOCTYPE html>
<html lang="en" ng-app>
  <head>
    <title>PassportJS Auth</title>

    <!-- Viewport mobile tag for sensible mobile support -->
    <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
    <!-- Created by shekhar Prasad Rajak  follow me on github for more awesome repo : www.github.com/shekharrajak -->
    <!--STYLES-->
    <link rel="stylesheet" href="/styles/animate.css">

## routes.js

module.exports.routes = {

  /***************************************************************************
  *                                                                          *
  * Make the view located at `views/homepage.ejs` (or `views/homepage.jade`, *
  * etc. depending on your default view engine) your home page.              *
  *                                                                          *
  * (Alternatively, remove this and add an `index.html` file in your         *
  * `assets` directory)                                                      *

## isAuthenticated.js
module.exports = function(req, res, next) {
   if (req.isAuthenticated()) {
        return next();
    }
    else{
        return res.redirect('/login');
    }
};

## User.js
/**
* User.js
*
* @description :: TODO: You might write a short summary of how this model works and what it represents here.
* @docs        :: http://sailsjs.org/#!documentation/models
*/

var bcrypt = require('bcrypt');

module.exports = {
	def nlinsolve_matrix(system, symbols):
	r"""
	reference : http://people.math.gatech.edu/~aleykin3/math4803spr13/BOOK/chapter1.pdf
	page :9 example = 2.2
	currently for 2 equations

	Examples
	>>> from sympy.solvers.solveset import nlinsolve_matrix
	>>> nlinsolve_matrix([xy - 1, 4x2 + y2 - 5],[x,y])
	>>> {(-1, -1), (-1/2, -2), (1/2, 2), (1, 1)}
	import csv
	import cStringIO
	import codecs
	import glob
	import json
	import requests


	def fetch_jsons():
	url = ('https://summerofcode.withgoogle.com/api/program/current/project/'
	import random
	import multiprocessing
	from itertools import starmap, izip, repeat, imap
	from operator import mul

	def calc_row_of_product_matrix(a_row, b, izip=izip):
	'''Calculate a row of the product matrix P = A * B
	Arguments:
	a_row is af A
	b is the B matrix
	"""
	This module manages interactions with the autograd library.
	"""
	import autograd.numpy as anp
	import numpy as np
	from autograd import elementwise_grad, jacobian
	from sympy import lambdify
	# NumPyPrinter requires unreleased sympy 0.7.7 (in sympy master)
	# if you aren't using Piecewise or logical operators
	# you can change NumPyPrinter to LambdaPrinter in this module
	from sympy import *

	# https://www.rose-hulman.edu/~finn/CCLI/Notes/day09.pdf

	a0, a1, a2, a3, t = symbols('a0 a1 a2 a3 t')

	polynomial = a0 + a1t + a2t*2 + a3t**3
	polynomial_d = diff(polynomial, t)

	p0, v0, p1, v1 = symbols('p0 v0 p1 v1')
	/**
	* User.js
	*
	* @description :: TODO: You might write a short summary of how this model works and what it represents here.
	* @docs :: http://sailsjs.org/#!documentation/models
	*/

	var bcrypt = require('bcrypt');

	module.exports = {
	<!DOCTYPE html>
	<html lang="en" ng-app>
	<head>
	<title>PassportJS Auth</title>

	<!-- Viewport mobile tag for sensible mobile support -->
	<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
	<!-- Created by shekhar Prasad Rajak follow me on github for more awesome repo : www.github.com/shekharrajak -->
	<!--STYLES-->
	<link rel="stylesheet" href="/styles/animate.css">

	module.exports.routes = {

	/***************************************************************************
	* *
	* Make the view located at `views/homepage.ejs` (or `views/homepage.jade`, *
	* etc. depending on your default view engine) your home page. *
	* *
	* (Alternatively, remove this and add an `index.html` file in your *
	* `assets` directory) *
	module.exports = function(req, res, next) {
	if (req.isAuthenticated()) {
	return next();
	}
	else{
	return res.redirect('/login');
	}
	};