daemonfire300

{{set . "title" "Register"}}
{{template "header.html" .}}

<h1>Register:</h1>

<form action="{{url "UserController.Register"}}" method="POST">
  {{with $field := field "user.Username" .}}
    <p class="{{$field.ErrorClass}}">
      <strong>Username:</strong>
      <input type="text" name="{{$field.Name}}" size="16" value="{{$field.Flash}}"> *

daemonfire300

//WASD to orbit, left Ctrl/Alt to zoom
using UnityEngine;
 
public class KeyboardIsometric : MonoBehaviour
{
	public float speed = 29.0F;
    public float rotationSpeed = 100.0F;
	public GameObject target;
	public GameObject gLight;
	public bool isController = false;

daemonfire300

// GENERATED CODE - DO NOT EDIT
package main

import (
	"flag"
	"reflect"
	"github.com/revel/revel"
	_ "bitbucket.org/daemonfire300/pleyus-alpha//app"
	_ "bitbucket.org/daemonfire300/pleyus-alpha//app/ontrollers"
	tests "bitbucket.org/daemonfire300/pleyus-alpha//tests"

daemonfire300

// Copyright (C) 2011-2014 Vincent Heuveline
//
// HiFlow3 is free software: you can redistribute it and/or modify it under the
// terms of the GNU Lesser General Public License as published by the Free
// Software Foundation, either version 3 of the License, or (at your option) any
// later version.
//  
// HiFlow3 is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
// A PARTICULAR PURPOSE.  See the GNU Lesser General Public License for more

daemonfire300

import igraph as ig
#from networkx import *

f = open('facebook-links.txt.anon', 'r')


def largest_graph(cur_graph):
    if not is_connected(cur_graph):
        # get a list of unconnected networks
        sub_graphs = list(connected_component_subgraphs(cur_graph))

daemonfire300

#include "vtkPointData.h"

#include "vtkArrayCalculator.h"

#include "vtkPlane.h"
#include "vtkCutter.h"
#include "vtkScalarBarActor.h"

#include "vtkOutlineFilter.h"

daemonfire300

(3, 15.000000000000004, {0: [array([1, 1]), array([1, 2]), array([2, 2])], 1: [array([5, 2]), array([4, 4]), array([2, 5]), array([5, 5])]}, array([[1, 1],
       [4, 4]]))

daemonfire300

----------------------------------------------------------------------
C {0: [array([1, 1]), array([5, 2])], 1: [array([1, 2]), array([2, 2]), array([4, 4]), array([2, 5]), array([5, 5])]}
----------------------------------------------------------------------
iter 0 error 4.0
iter 0 error 9.0
iter 1 error 11.0
iter 1 error 12.0
iter 1 error 17.0
iter 1 error 21.0
iter 1 error 34.0

daemonfire300

class MyTagsHandler(xml.sax.handler.ContentHandler):
    def __init__(self):
        xml.sax.handler.ContentHandler.__init__(self)
        self.tags = dict()
        self.edges = dict()
        self.k = 0
    def assemble_tag_list(self, s):
        s = s.replace("<", "")
        s = s.replace(">", " ")
        s = s.strip()

daemonfire300

def mean(C):
    m = np.array([0,0])
    for c in C:
        m += c
    m = m * (1/len(C))
    return m

def recalc(C, F, k, centroids):
    sqe = 0
    # assign features to clusters based on distance to centroids