def runTest(s,n):
startTime = time.time()
infile = open("test"+ path_separator + s,"r")
outfile = open("test" + path_separator + "results.csv", "w")
outfile.write("word,mirror,length,numMirrors,predIndx,correct\n\n")
## Initialize testing counts
wordCount = 0
correctWords = 0
allRslts = {}
for line in infile:
words = line.split()
firstword = ' '
secondword = ' '
endOfSentence = False
for w in words:
wordCount += 1
word = build.sanitizeWord(w)
mirror = mirror_functions.mirror(word)
#specify how to get these results
results = mirror_functions.getTopNext(mirror+'|','tran',n,"",True)
outfile.write(word + ',' + mirror + ',' + str(len(word)) + ',' + \
str(mirror_functions.mirrorCount(word)) + ',')
# Correct prediction
if (word in results):
correctWords += 1
indx = results.index(word)
incrementDict(word + '|' + str(indx),allRslts)
outfile.write(str(indx) + ",1,\n")
else:
outfile.write(" ,0,\n")
infile.close()
outfile.close()
## Print results
print "Seconds: ", time.time() - startTime
print "Total words tested:", wordCount
print "Total correctly predicted:", correctWords
def printStats():
length = {}
mirrors = {}
for cur in corpus:
incrementInDict(len(cur),length)
incrementInDict(mirror_functions.mirrorCount(cur),mirrors)
length = sorted(length.iteritems(), key=operator.itemgetter(0))
mirrors = sorted(mirrors.iteritems(), key=operator.itemgetter(0))
print " [Total Unique Words:", str(len(corpus)), "]"
#print " ======================================"
print " Length of Word\t Unique Occurrences"
print " --------------\t ------------------"
for cur in length:
print "\t",cur[0], "\t\t", cur[1]
print "\n # of Mirrors\t Unique Occurrences"
print " --------------\t -------------------"
for cur in mirrors:
print "\t", cur[0], "\t\t", cur[1]