Charles OuGuo shaldengeki

Sabretooth

Anyway, we do use a custom service written in C++ that holds all of the tag data in-memory. Each tag holds ordered set of topic IDs. The order is by last post time and then by topic ID for tie breaking; this ordering is consistent between different tags, which gets important later. If you iterate through one of these sets you'll get all the topics tagged with that tag, most recently updated to least recently updated.

Tags also define and implement a very simple cursor interface. This interface is basically three functions; "advance the cursor by one topic", "advance the iterator until it's pointing to or past this topic (passing in a reference topic)", and "give me the currently pointed-to topic". When you are talking to the service, you can say "skip 50 topics and then give me 50 topics", and it will advance the cursor 50 times and throw away the result, and then advance the cursor 50 more times while returning each result. Pretty straightforward.

The cursor interface is also implemen

	import bs4
	import re
	import random

	APOSTROPHE_REGEX = re.compile("'")
	NON_ALPHANUMERIC_REGEX = re.compile('[^a-zA-Z0-9]+')

	def strip_tags(text, valid_tags):
	text = bs4.BeautifulSoup(text)
	while len(text.contents) == 1:

	from mrjob.job import MRJob
	from math import sqrt

	try:
	from itertools import combinations
	except ImportError:
	def combinations(iterable, r):
	"""
	Implementation of itertools combinations method.
	Re-implemented here because of import issues

	from mrjob.job import MRJob
	from math import sqrt

	try:
	from itertools import combinations
	except ImportError:
	def combinations(iterable, r):
	"""
	Implementation of itertools combinations method.
	Re-implemented here because of import issues

	from mrjob.job import MRJob

	'''
	Some constants.
	'''
	PRIOR_CORRELATION = 0
	PRIOR_COUNT = 10
	MIN_INTERSECTION = 20
	MIN_TOPICS = 20

	from mrjob.job import MRJob

	# Put metrics here.

	# add metrics to the below function.
	def calculate_metrics(v1, v2):
	'''
	Calculates similarity metrics between two unfilled vectors.
	Returns [metric1, metric2, ...]
	'''

	Dear Charles:



	Thank you for contacting me regarding the Senate Select Committee on Intelligence's report on the use of so-called enhanced interrogation techniques by the Central Intelligence Agency (CIA). I appreciate your engagement in this important issue, and I welcome the opportunity to provide you with additional information.



	On December 9, 2014, the Senate Intelligence Committee, which I chaired from January 2009 to December 2014, released the executive summary and findings of its report on the CIA's former Detention and Interrogation Program. The Committee adopted the report by a bipartisan vote of 9-6 on December 13, 2012, and agreed to submit portions of the report to the Executive Branch for declassification on April 3, 2014 by a vote of 11-3. A copy of the report's declassified executive summary and findings is available on the Committee's website or at http://tinyurl.com/intelligence-report.