jesserobertson

%!TEX TS-program = pdflatex
%!TEX encoding = UTF-8 Unicode

% Preamble (fold)
\documentclass[12pt, openright]{book}
% \includeonly{chapters/frontmatter, chapters/introduction}

% Load packages 
\usepackage[ibycus, english]{babel}
% \usepackage{amsmath, amssymb}

jesserobertson

%!TEX root = ../thesis.tex
%!TEX TS-program = pdflatex
%!TEX encoding = UTF-8 Unicode
%!TEX root = thesis.tex    
% Jess Robertson, 2011-01-30

\newpage
\pagestyle{empty}   
\singlespacing
\vspace{80mm}

jesserobertson

%!TEX root = ../thesis.tex
%!TEX TS-program = pdflatex
%!TEX encoding = UTF-8 Unicode

\chapter{Results} % (fold)
\label{cha:isothermal_results}

Isothermal flow solutions were calculated for 1666 flow configurations: these had 49 aspect ratios between 1/5$\;\leq\beta\leq\;$25, with 34 values of the Bingham number per aspect ratio. I only performed actual calculations for flows with $\beta \geq\;$2, since cases with $\beta<2$ can be obtained from these results via the symmetry of the flow configuration (i.e. by swapping $H$ and $W$ and rescaling other values). The Bingham number varied between zero for Newtonian flows, to the critical value $B=B^{\star}(\beta)$ when the weight of the fluid is completely supported by its yield strength (discussed in \S\ref{sub:viscoplastic_rheology}). I outline how the critical Bingham number $B^{\star}$ can be obtained analytically for rectangular channel flows in \S\ref{sec:critical_bingham_numbers}. The number of iterations required for convergence of the Lagrangian optimiz

jesserobertson

"""Plot to test line contours"""
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.mlab as mlab
import mpld3


def create_plot():
    x = np.linspace(-3.0, 3.0, 30)
    y = np.linspace(-2.0, 2.0, 30)

jesserobertson

class Foo(object):

    def __init__(self):
        self.datasource = something
        self.cache = {}

    @property
    def data(self):
        if 'data' in cache.keys():
            return cache['data']

jesserobertson

import subprocess, os
 
def get_big_blobs(git_repo, nitems=10):
    # Query the git repo for large items
    os.chdir(git_repo)
    big_blobs = subprocess.Popen(
        ('git verify-pack -v .git/objects/pack/pack-*.idx | '
         'grep -v chain | sort -k3nr | head --lines={1} -').format(git_repo, int(nitems)),
        shell=True,
        stdout=subprocess.PIPE)

jesserobertson

import requests, simplejson
 
# Insert your API key here
api_key = '<my_api_key>'
 
# Some random names from http://www.namesgenerator.org/100-random-names/
authors = [
    "Staffan Krammerer", "Rosalinda Stavoua", "Tahsin Tomms", 
    "Saikhantuya Stronge", "Bronte Movileanu", "Mykel Eletti", 
    "Brendan Hamzová", "Utaka Heldt", "Alekzander Ogiemwonyi", 

jesserobertson

# [PackageDev] target_format: plist, ext: tmLanguage
# Gerris syntax highlighting (fairly crappy at this stage)
---
name: Gerris
scopeName: source.gerris
fileTypes: ["gfs"]
uuid: 959c45c1-fa9c-428c-b2a2-e74f9ee51c2f

foldingStartMarker: '\{\s*$'
foldingStopMarker: '^\s*\}'

jesserobertson

Installing the BFG

First make sure that you install Java using homebrew - the Oracle installer makes a terrible fscking mess of your machine :(

$ brew tap caskroom/cask
$ brew install brew-cask
$ brew cask install java

jesserobertson

{
  "AWSTemplateFormatVersion": "2010-09-09",
  "Description": "An etcd cluster based off an auto scaling group",
  "Mappings" : {
      "RegionMap" : {
          "eu-central-1" : {
              "AMI" : "ami-840a0899"
          },
          "ap-northeast-1" : {
              "AMI" : "ami-6c5ac56c"