jxnl

from __future__ import print_function
from Queue import Queue

import json

def subdivide(posn1, posn2):
    """
    Accepts two Tuple2 and returns a generator that produces the four new boxes.

    Args:

jxnl

for i in range(1,101):print"Fizz"*(not i%3)+"Buzz"*(not i%5) or i

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"""
This script generates a template rkt file for cs116 assignments
Generates the assignment header. sample contract and sample function.

Usage: 
    python new_assignment.py A Q NameOfAssignment

Author: Jason Liu
Date: May 20th, 2014
"""

jxnl

import random
import math

count_total = 10000
count_inside = 0

for _ in xrange(count_total):
    inside_the_unit_circle =  (math.hypot(random.random(), random.random()) < 1)
    count_inside += 1 if (inside_the_unit_circle) else 0

jxnl

Want to speak with me? I'm jason at jxnl.co

---

# First things first, Fizzbuzz
for i in range(1, 101): print "Fizz" * (not i % 3) + "Buzz" * (not i % 5) or i

# Or if you want... Simpson's Rule
def simpson(a, b, f, N):

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{ "_id" : { "$oid" : "546469e762104c2ef8743db1" }, "post_id" : "752305101527031", "from_name" : "Dan Zhang", "group_id" : "752213728202835", "from_id" : "10104353956153783" }
{ "_id" : { "$oid" : "546469e862104c2ef8743db2" }, "post_id" : "752330641524477", "from_name" : "Dave Fontenot", "group_id" : "752213728202835", "from_id" : "10152524105304355" }
{ "_id" : { "$oid" : "546469e862104c2ef8743db3" }, "post_id" : "752330641524477", "from_name" : "Iheanyi Ekechukwu", "group_id" : "752213728202835", "from_id" : "10152375559281984" }
{ "_id" : { "$oid" : "546469e962104c2ef8743db4" }, "post_id" : "752216121535929", "from_name" : "Dave Fontenot", "group_id" : "752213728202835", "from_id" : "10152524105304355" }
{ "_id" : { "$oid" : "546469e962104c2ef8743db5" }, "post_id" : "752216121535929", "from_name" : "Millun Atluri", "group_id" : "752213728202835", "from_id" : "953619831318616" }
{ "_id" : { "$oid" : "546469e962104c2ef8743db6" }, "post_id" : "752216121535929", "from_name" : "Shane Creighton-Young", "group_id"

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{ "_id" : "AFNetworking/AFNetworking", "lang" : { "Objective-C" : 583348, "Ruby" : 3753, "C" : 22245 } }
{ "_id" : "Alamofire/Alamofire", "lang" : { "Objective-C" : 1297, "Swift" : 126338 } }
{ "_id" : "AndroidBootstrap/android-bootstrap", "lang" : { "Groovy" : 147, "Python" : 989, "Java" : 183026 } }
{ "_id" : "Automattic/_s", "lang" : { "PHP" : 36147, "JavaScript" : 2665, "CSS" : 34736 } }
{ "_id" : "Automattic/socket.io", "lang" : { "JavaScript" : 79091, "CSS" : 1885 } }
{ "_id" : "Automattic/socket.io-client", "lang" : { "Shell" : 111, "JavaScript" : 197777 } }
{ "_id" : "BBC-News/Imager.js", "lang" : { "JavaScript" : 48035, "CSS" : 760 } }
{ "_id" : "BBC-News/wraith", "lang" : { "Shell" : 584, "JavaScript" : 8403, "Ruby" : 25172 } }
{ "_id" : "Bearded-Hen/Android-Bootstrap", "lang" : { "Groovy" : 2959, "Java" : 77221 } }
{ "_id" : "BoltsFramework/Bolts-iOS", "lang" : { "Objective-C" : 175553, "Shell" : 16732, "Ruby" : 5455 } }

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"""
Author: Jason Liu
"""

import random


class BernoulliArm(object):
    """An arm that either returns 0 or 1 as it's reward"""

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"""
This module contains a markov chain class that can be used to generate
a psuedo random list of elements from a selected corpus. It does so
by collecting all existing bigrams e.i. (element_i, element_i+1) of the
selected corpus and defining a markov chain with transition probabilities
proportional to the relative frequency of the bigrams.

Author: Jason Liu
Date: May 24th, 2014

jxnl

"""
Make a tweet when you commit. Honestly could have been way shorter. 
Like without  a class, or so many dependencies. But.. If you want to add something.
I'm sure that you'll figure it out.

Usage
-----

>>> py twit.py -h
usage: twit.py [-h] {commit} ...