PearlMiglani

from nltk.tokenize import word_tokenize, sent_tokenize

from nltk.tag import StanfordNERTagger


st = StanfordNERTagger('/Users/Downloads/stanford-ner-2020-11-17/classifiers/english.all.3class.distsim.crf.ser.gz',
					   '/Users/Downloads/stanford-ner-2020-11-17/stanford-ner.jar',
					   encoding='utf-8')

text_string='''

PearlMiglani

stream=[1,2,3,4,5,6,4,2,5,9,1,6,3,7,1,2,2,4,2,1]
print('Using conventional Algorithm:')
start_time = time.time()
st_unique=[]
for i in stream:
    if i in st_unique:
        continue
    else:
        st_unique.append(i)
        

PearlMiglani

stream=[1,2,3,4,5,6,4,2,5,9,1,6,3,7,1,2,2,4,2,1]
print('Using Flajolet Martin Algorithm:')
import time
start_time = time.time()

maxnum=0
for i in range(0,len(stream)):
    val= bin((1*stream[i] + 6) % 32)[2:]
    
    sum=0