def main():
consts = Constant.constant()
smmry = Text.text(readfromfile(fname))
smmry.parseSentences()
smmry.debugSentencesToFile()
smmry.debugSentenceContextToFile()
smmry.debugTextFreqToFile()
#smmry.getSummary()
smmry.getSMMRY()
def main():
consts = Constant.constant()
smmry = Text.text(readfromfile(fname))
smmry.parseSentences()
smmry.debugSentencesToFile()
smmry.debugSentenceContextToFile()
smmry.debugTextFreqToFile()
#smmry.getSummary()
smmry.getSMMRY()
from Constants import Constant
from VisionMath import Math
from Camera import Camera
c = Constant()
vision_math = Math()
camera = Camera("Microsoft", c.M_HA, c.M_VA, c.M_DFOV)
print "HFOV: ", camera.hfov
print "VFOV: ", camera.vfov
print "Midpoint: "
vision_math.find_tx_ty_math(160, 90, camera.hfov, camera.vfov)
print ""
print "Top-left point: "
vision_math.find_tx_ty_math(0, 0, camera.hfov, camera.vfov)
print ""
print "Bottom-right point: "
vision_math.find_tx_ty_math(320, 180, camera.hfov, camera.vfov)
print ""
print "Bottom-left point: "
vision_math.find_tx_ty_math(0, 180, camera.hfov, camera.vfov)
print ""
print "Top-right point: "
vision_math.find_tx_ty_math(320, 0, camera.hfov, camera.vfov)
print ""
print "Middle-left: "
vision_math.find_tx_ty_math(80, 90, camera.hfov, camera.vfov)
print ""
print "Middle-top: "
vision_math.find_tx_ty_math(160, 45, camera.hfov, camera.vfov)
# sompar = Text.paras[0] -> para object
# sent = sompar.sentences[0] -> sentence object
# sent.score, sent.text, sent.belongs -> para number
from Sentences import Sentence
from Constants import Constant
import datetime
from collections import OrderedDict
import collections
from nltk.stem.lancaster import LancasterStemmer
from nltk.corpus import stopwords
import numpy as np
np.set_printoptions(threshold='nan')
const = Constant.constant()
'''
xxxxxxx Mr. Douglas Direct match
xxxxxxxx Mrs. Douglas Direct match
xxxxxxx Ms. Douglas Direct match
xxxxxxxx Peter A. Douglas Capital before
example.com is Spaces
U.S.A Spaces
xxxxxx. xxxxxx
