seanlinehan’s gists

seanlinehan / GenBoxShadow.php

Created October 4, 2012 03:07

Create a pure-CSS version of any image

	// Do whatever you'd like with the script! Show it off, mod it up, post it places, or whatever. :)
	// (If you do, I wouldn't mind a Twitter shoutout at @_slinehan when appropriate!)

	$imageURL = "URL HERE";
	$image = imagecreatefromjpeg($imageURL);

	$width = imagesx($image);
	$height = imagesy($image);

	// First, let's resize the image to something manageable while maintaining aspect ratio.

seanlinehan / gist:4371554

Last active December 10, 2015 02:58

Returns first occurrence of a key in a multidimensional object. If anybody has a more efficient method, tweet at me! @_slinehan

	# Returns first occurrence of a key in a multidimensional object
	# Haystack can either be a dict or a list, but needle must be
	# a dict key name or a list of dict key names

	# Example:
	# deepObject = {
	# 'Sky': {
	# 'Planes': 2.5,
	# 'Rockets': 3.5,
	# 'Missiles': 3.0,

seanlinehan / InsertIfNotExist.py

Last active December 10, 2015 12:08

Inserts a dictionary of column names, values into a MySQL database if a record doesn't currently exist based on a dictionary of constraints.

	import MySQLdb as mdb

	## Get the a hash ID from the database
	## If it doesn't exist, add it to the database and return the new ID
	## value_map is flattened before insertion so any single column should be in the entire dict.
	## con (MySQLdb): current MySQLdb connection
	## table (string): table name to update
	## pk (string): column name of the primary key (id)
	## value_map (dict): needs are necessary constraints, needsone are only-one-needed constraints, others are for insert if not exist
	## {

seanlinehan / parse_nuzzel.py

Created September 12, 2015 23:40

	#!/usr/bin/env python
	# -- coding: utf-8 --
	import json

	blob = "[Nuzzel JSON Blob]"
	obj = json.loads(blob)

	twitter_user_ids = []
	# Thanks for calling all these awesome people friends, Nuzzel
	for friend in obj['results']['friends']:

seanlinehan / get_twitter_followings.py

Last active September 13, 2015 00:16

	#!/usr/bin/env python
	# -- coding: utf-8 --
	import json
	import oauth2 # <- pip install oauth2
	import time

	# Oauth request helper. Mostly copy-pasta from Twitter's docs.
	def oauth_req(url, http_method="GET"):
	consumer = oauth2.Consumer(key='YOUR TWITTER API KEY', secret='YOUR TWITTER API SECRET')
	client = oauth2.Client(consumer)

seanlinehan / find_baseline.py

Created September 13, 2015 03:14

	#!/usr/bin/env python
	from collections import defaultdict

	# Convenience method
	def get_intersection(users):
	# pull out the users' following list
	list_of_follower_lists = map(lambda x: x[1], users)
	# return a list containing the common followers amongst them all
	return set(list_of_follower_lists[0]).intersection(*list_of_follower_lists)

seanlinehan / reduce_people.py

Created September 13, 2015 03:18

	# Limit the list to people who have at least 43 followers in the set
	filtered = {
	followed: follower_sets[followed]
	for followed in follower_sets.keys()
	if len(follower_sets[followed]) >= 43
	}

seanlinehan / optimize.py

Created September 13, 2015 05:19

	#!/usr/bin/env python
	from __future__ import division
	import random, sys, math
	from collections import defaultdict

	# Convenience
	def remove_at_index(l, index):
	return l[:index] + l[index+1:]

	def sort_population(population):

seanlinehan / optimize_method.py

Created September 13, 2015 05:19

	def optimize(population, rounds):
	population = sort_population(population)
	# Set our seed set to a pretty good default
	test_set = population[:10]
	# To compare other sets against
	highest_exposure = len(get_intersection(test_set))
	print "Baseline: %d" % highest_exposure
	print "=============="

	for i in range(rounds):

seanlinehan / feed toppers

Created September 13, 2015 07:36

Sean Linehan seanlinehan