neilernst

#!/usr/bin/env python3
"""Retrieve tag frequency data from a Taguette SQLite database.

Produces:
  1. Overall tag frequency (ordered by count descending)
  2. Tag frequency per document
  3. CSV output to stdout
"""

import argparse

neilernst

--==============================
-- Send Keynote Text to Desktop Markdown File
-- Formats the markdown as Marp syntax (a MarkDown presentation format) https://marp.app
-- Based on 
-- Writted By: Richard Dooling https://github.com/RichardDooling/
-- Based on 
-- Send Keynote Presenter Notes to Evernote
-- Version 1.0.1
-- Written By: Ben Waldie <ben@automatedworkflows.com>
-- http://www.automatedworkflows.com

neilernst

#!/usr/bin/ruby
require 'sqlite3'

cite_part = ARGV[0]
db_name = "/Users/nernst/Library/Application\ Support/Mendeley\ Desktop/neil\@neilernst.net\@www.mendeley.com.sqlite"
db = SQLite3::Database.new( db_name )
db.results_as_hash = true
query = "select citationkey, title, year from Documents where citationkey like '%#{cite_part}%'"#MATCH '#{cite_part}'"#{}like '%#{cite_part}%'"
db.execute( query ) do |row|
  print row['citationKey'] + '|'

neilernst

# author N Ernst
# thanks to https://stackoverflow.com/questions/4576077/python-split-text-on-sentences?rq=1

import nltk.data
import argparse

parser = argparse.ArgumentParser()
parser.add_argument("length", help="recommended sentence length [default 5]",  type=int, default=0)
parser.add_argument("filename", help="what text file to parse")
args = parser.parse_args()

neilernst

# Retrieve, for a list of issues, the associated commits and files
# First run Octohub's offline issues plugin: https://github.com/turnkeylinux/octohub/tree/master/contrib/offline-issues
# Assumes relevant issue data stored in octohub "all" dir
# Author: @neilernst
# Copyright: SEI
# Licence: BSD

import logging, os, sys
import simplejson as json
from octohub.connection import Connection

neilernst

SELECT
  cont.sample_repo_name,
  repo.watch_count
FROM
  [bigquery-public-data:github_repos.sample_contents] as cont
JOIN [bigquery-public-data:github_repos.sample_repos] as repo
  ON cont.sample_repo_name = repo.repo_name
WHERE
  cont.content CONTAINS 'spring-boot-starter-security</artifactId>'
  AND cont.sample_path LIKE 'pom.xml'

neilernst

neilernst

\def\bibliocommand{\bibliography{IEEEabrv,../../bibtex/thesis-new}}
\def\bibliostyle{plainnat-nourl}
\def\mytitle{Software Evolution: a Requirements Engineering Approach}
\def\myauthor{Neil Alexander Ernst}
\input{ut-thesis-begin} % the preceding lines are directly converted from Scrivener Meta-Data.

\chapter{Introduction}
\label{introduction}

\section{Motivation}

neilernst

from lxml import html
import requests
import operator

authors_dict = {}
base_url = 'http://dblp.uni-trier.de/db/conf/scam/scam'
for year in range(2000,2016):
    page = requests.get(base_url + str(year) + '.html')
    tree = html.fromstring(page.content)
    authors = tree.xpath('//span[@itemprop="author"]/a/span[@itemprop="name"]/text()')

neilernst

\RequirePackage[debrief,save]{silence}
% %silence filters. I use this with a custom script to pretty-print missing refs.
%\WarningFilter*{latex}{Citation `\@citeb' on page \thepage \space undefined}
\WarningFilter*{natbib}{Citation `\@citeb' on page \thepage \space undefined}
\WarningFilter*{latex}{Label}% `\@thelabel' multiply defined.}
\WarningFilter*{latex}{Reference}% `sec:ASK' on page \thepage undefined}

\documentclass[10pt,oneside]{ut-thesis} %draft
\usepackage{etex}
\makeindex