glesica

perceptron <- function(x, y, w, a, verbose=F) {
  # Uses the Perceptron algorithm to find a weight vector that 
  # satisfies the given data.
  #
  # Args:
  #   x: an m by n matrix representing the data under study
  #   y: objective vector of m elements
  #   w: initial guess for the weight vector, n elements
  #   a: learning rate, should be in (0,1]
  #   verbose: echo information w at each iteration (default: False)

glesica

# particle.r
# George Lesica
# CSCI 555 - FA 2012
# Homework 7.5
# Solution to problem 2

samp <- function(S) {
  return(sample(S$X, length(S$X), replace=T, prob=S$W))
}

glesica

# value_iteration.r
# George Lesica
# CSCI 555 - FA 2012
# Homework 5
# Solution to problem 3

INTENDED <- 0.8
LEFT <- 0.1
RIGHT <- 0.1

glesica

[xcb] Unknown sequence number while appending request
[xcb] Most likely this is a multi-threaded client and XInitThreads has not been called
[xcb] Aborting, sorry about that.
invader: ../../src/xcb_io.c:160: append_pending_request: Assertion `!xcb_xlib_unknown_seq_number' failed.

Program received signal SIGABRT, Aborted.
0x00007ffff75ab445 in __GI_raise (sig=<optimized out>) at ../nptl/sysdeps/unix/sysv/linux/raise.c:64
64	../nptl/sysdeps/unix/sysv/linux/raise.c: No such file or directory.
(gdb) bt
#0  0x00007ffff75ab445 in __GI_raise (sig=<optimized out>) at ../nptl/sysdeps/unix/sysv/linux/raise.c:64

glesica

pburg <- function() {
  p <- 1
  while (sample(1:2, 1)[1] == 1) {
    p <- p * 2
  }
  return(p)
}

ipburg <- function(n) {
  r <- sapply(1:n, function(x) { return(pburg()) })

glesica

# In views.py

import flask
from flask import request, session, g
from datably import app, crypt, db
from datably import operations as ops

@app.route('/login', methods=('GET', 'POST'))
def login():
    context = {}

glesica

>>> a = re.compile(r'^[0-9_]+|\W|[_]+$')
>>> a.findall('__hello world')
['__', ' ']
>>> a.sub('', '__username@gmail.com_table name hello')
'usernamegmailcom_tablenamehello'
>>> a.sub('', 'a')
'a'
>>> a.sub('', '_')
''
>>> a.sub('', '0')

glesica

"""
Function to find the contiguous subsequence in a 
list that has the greatest sum.
"""

def max_subsequence(L):
    """
    Implements a linear time algorithm.

    >>> max_subsequence([1,2,3,4,5])

glesica

/*
    shotgun.c
    Author: George Lesica <glesica@gmail.com>
    Description: An ANSI C implementation of the shotgun sorting algorithm.
*/

#include <stdlib.h>

/* Private utility functions. */

glesica

#!/bin/bash

# install.sh
# Author: George Lesica <glesica@gmail.com>
# Description: Deploy script for my dotfiles repo.
# License: Public Domain (where it exists), any OSI-approved 
# license elsewhere.

#
# Configuration