def __init__(self, db):
#initialize a lookup table of terms
self.db = MongoAdmin(db)
self.hypotheses = ["It was expected that ", "It was predicted that "]
self.interpret = ["This is probably because", "This could be due to "]
self.acceptnull = ["Contrary to the hypothesis, however ", "Against prediction,", "Contrary to expectation, "]
self.rejectnull = ["This was as expected.", "This was as predicted."]
self.signs = {'>' : 'greater than', '<' : 'less than', '==' : 'equal to'}
import subject
from experiments import printWord, printText
from mongoTools import MongoAdmin
import shuffler
###COLLECT SUBJECT INFO
myArgs = sys.argv
number = str(myArgs[1])
#create subject
subject = subject.Subject(number, experiment="box_mag")
#connect to db
db = MongoAdmin("magnitude")
#retrieve problems
posts = db.getTable("training_sets").posts
fontsize = 80
boxsize = 160
numbers = range(1, 41)
random.shuffle(numbers)
n1s = numbers[:20]
n2s = numbers[20:]
mag_problems = []
for n1, n2 in zip(n1s, n2s):
from mongoTools import MongoAdmin
import shuffler
###COLLECT SUBJECT INFO
myArgs = sys.argv
print myArgs
number = str(myArgs[1])
#create subject
subject = subject.Subject(number, 1, 1, "post_pro")
#connect to db
db = MongoAdmin("CAT2")
#retrieve problems
posts = db.getTable("post_sets").posts
q= {}
q['s_id'] = number
problems = []
for r in posts.find(q):
ns = [r['n1'], r['n2']]
trained = r['trained']
orig_strat = r['orig_strat']
problems.append([ns, trained, orig_strat])
