In [17]:

    

import re


    

In [3]:

    

r = "(hi|hello|hey)[ ]*([a-z]*)"
re.match(r, 'Hello Rosa', flags=re.IGNORECASE)


    

    
Out[3]:





<_sre.SRE_Match object; span=(0, 10), match='Hello Rosa'>

In [4]:

    

re.match(r, "hi ho, hi ho, it's off to work ...", flags=re.IGNORECASE)


    

    
Out[4]:





<_sre.SRE_Match object; span=(0, 5), match='hi ho'>

In [5]:

    

re.match(r, "hey, what's up", flags=re.IGNORECASE)


    

    
Out[5]:





<_sre.SRE_Match object; span=(0, 3), match='hey'>

In [16]:

    

r = r'''[^a-z]*([y]o|[h']?ello|ok|hey|(good[ ])?(morn[gin']{0,3}|afternoon|even[gin']{0,3}))[\s,;:]{1,3}([a-z]{1,20})'''
re_greeting = re.compile(r, flags=re.IGNORECASE)


    

In [9]:

    

re_greeting.match('Hello Rosa')


    

    
Out[9]:





<_sre.SRE_Match object; span=(0, 10), match='Hello Rosa'>

In [10]:

    

re_greeting.match('Hello Rosa').groups()


    

    
Out[10]:





('Hello', None, None, 'Rosa')

In [11]:

    

re_greeting.match("Good morning Rosa")


    

    
Out[11]:





<_sre.SRE_Match object; span=(0, 17), match='Good morning Rosa'>

In [12]:

    

re_greeting.match("Good Manning Rosa")


    

In [13]:

    

re_greeting.match('Good evening Rosa Parks').groups()


    

    
Out[13]:





('Good evening', 'Good ', 'evening', 'Rosa')

In [14]:

    

re_greeting.match("Good Morn'n Rosa")


    

    
Out[14]:





<_sre.SRE_Match object; span=(0, 16), match="Good Morn'n Rosa">

In [15]:

    

re_greeting.match("yo Rosa")


    

    
Out[15]:





<_sre.SRE_Match object; span=(0, 7), match='yo Rosa'>

In [22]:

    

my_names = set(['rosa', 'rose', 'chatty', 'chatbot', 'bot', 'chatterbot'])
curt_names = set(['hal', 'you', 'u'])
greeter_name = ''
match = re_greeting.match(input())
if match:
    at_name = match.groups()[-1]
    if at_name in curt_names:
        print("Good one.")
    elif at_name.lower() in my_names:
        print("Hi {}, How are you?".format(greeter_name))


    

    




Salvatore

In [24]:

    

from collections import Counter


    

In [25]:

    

Counter("Guten Morgen Rosa".split())


    

    
Out[25]:





Counter({'Guten': 1, 'Morgen': 1, 'Rosa': 1})

In [26]:

    

Counter("Good morning, Rosa!".split())


    

    
Out[26]:





Counter({'Good': 1, 'morning,': 1, 'Rosa!': 1})

In [27]:

    

from itertools import permutations
[" ".join(combo) for combo in permutations("Good morning Rosa!".split(), 3)]


    

    
Out[27]:





['Good morning Rosa!',
 'Good Rosa! morning',
 'morning Good Rosa!',
 'morning Rosa! Good',
 'Rosa! Good morning',
 'Rosa! morning Good']

In [28]:

    

s = """Find textbooks with titles containing 'NLP', 
    or 'natural' and 'language', or 
    'computational' and  'linguistics'."""
len(set(s.split()))


    

    
Out[28]:





12

In [29]:

    

import numpy as np
np.arange(1, 12 + 1).prod()  # factorial(12) = arange(1, 13).prod()


    

    
Out[29]:





479001600

In [ ]: