Reading and Writing Text | Zeven Rodriguez

Nursery Rhyme

Posted on April 30th, 2010 by admin

Reading and Writing Text

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The idea for the project was to mash-up nursery rhymes. I used speeches from obama and palin to re-populate the rhymne

Little Mr. barack, sat on a check

Eating his curds and growth

Along came a crisis

Who sat down beside his

And frightened Mr. barack month

Little Mr. barack, sat on a stock

Eating his curds and risk

Along came a crisis

Who sat down beside his

And frightened Mr. barack risk

Little Mr. barack, sat on a check

Eating his curds and applause.

Along came a This

Who sat down beside his

And frightened Mr. barack applause.

Little Mr. barack, sat on a pick

Eating his curds and issue

Along came a is

Who sat down beside his

And frightened Mr. barack rescue

Little Mr. barack, sat on a pick

Eating his curds and come

Along came a this

Who sat down beside his

And frightened Mr. barack outcome

Little Miss palin, sat on a win

Eating her curds and kill

Along came a never

Who sat down beside her

And frightened Miss palin still

Little Miss palin, sat on a McCain

Eating her curds and Al

Along came a pollster

Who sat down beside her

And frightened Miss palin Al

Little Miss palin, sat on a remain

Eating her curds and food

Along came a teleprompter

Who sat down beside her

And frightened Miss palin good

Little Miss palin, sat on a again

Eating her curds and “TARP

Along came a another

Who sat down beside her

And frightened Miss palin “TARP

Little Miss sarah, sat on a Yeah

Eating her curds and question[s]

Along came a together

Who sat down beside her

And frightened Miss sarah question[s]

from BeautifulSoup import BeautifulSoup
import urllib
import sys
import random

words = set()
wordSet = set()
rhyme = dict()
rhymeList = list()

url = "littlemuffet.html"
changer = sys.argv[1]
name = sys.argv[2]

data = urllib.urlopen(url).read()
soup = BeautifulSoup(data)

genderID1 = "Mr."
genderID2 = "his"

#parses speech
for line in sys.stdin:
line = line.strip()
line_words = line.split(" ")
for word in line_words:
words.add(word)

for word in words:
wordLength = len(word)
if (".") in word:
wordSet.add(word[:(wordLength-1)])
elif (",") in word:
wordSet.add(word[:(wordLength-1)])
elif (";") in word:
wordSet.add(word[:(wordLength-1)])
elif ("?") in word:
wordSet.add(word[:(wordLength-1)])
elif (":") in word:
wordSet.add(word[:(wordLength-1)])
else:
wordSet.add(word)

for word in wordSet:
wordLength = len(word)
lastLetter = word[wordLength-2:wordLength]

if lastLetter in rhyme.keys():
rhyme[lastLetter].append(word)
else:
rhyme[lastLetter]=[word]

if "true" in changer:
gender1 = soup.findAll('span', { "id" : "1" }, { "gender" : changer })
gender2 = soup.findAll('span', { "id" : "4" }, { "gender" : changer })

for i in range(0,len(gender1)):
gender1[i].replaceWith(genderID1)
for i in range(0,len(gender2)):
gender2[i].contents[0].replaceWith(genderID2)
else:
gender1 = soup.findAll('span', { "id" : "1" }, { "gender" : changer })
for i in range(0,len(gender1)):
origWord = gender1[i].contents[0]
gender1[i].replaceWith(origWord)

namer = soup.findAll('span', { "id" : "2" }, { "namer" : "1" })
for i in range(0,len(namer)):
namer[i].contents[0].replaceWith(name)

#rhyme 1
rhyme1 = soup.findAll('span',{ "rhyme" : "1" })
baseRhyme1 = str(rhyme1[0].contents[0])
baseRhyme1Last = baseRhyme1[len(baseRhyme1)-2:len(baseRhyme1)]
rhyme1Search = rhyme[baseRhyme1Last]
rhyme1Word = random.choice(rhyme1Search)
rhyme1[0].replaceWith(baseRhyme1)
rhyme1[1].replaceWith(rhyme1Word)
rhyme1[2].replaceWith(baseRhyme1)

#rhyme 1
rhyme2 = soup.findAll('span',{ "rhyme" : "2" })
letters = random.choice(rhyme.keys())
randomList = rhyme[letters]
rhyme2Word1 = random.choice(randomList)
rhyme2Word2 = random.choice(randomList)

rhyme2[0].replaceWith(rhyme2Word1)
rhyme2[1].replaceWith(rhyme2Word2)

#rhyme 3
rhyme3 = soup.findAll('span',{ "rhyme" : "3" })
baseRhyme3 = str(rhyme3[0].contents[0])
baseRhyme3Last = baseRhyme3[len(baseRhyme3)-2:len(baseRhyme3)]
rhyme3Search = rhyme[baseRhyme3Last]
rhyme3Word = random.choice(rhyme3Search)
rhyme3[0].replaceWith(baseRhyme3)
rhyme3[1].replaceWith(rhyme3Word)
rhyme3[2].replaceWith(baseRhyme3)

print soup

Little Miss Muffet, sat on a tuffet

Eating her curds and whey

Along came a spider

Who sat down beside her

And frightened Miss Muffet away

Political Nursery Rhyme from Zeven Rodriguez on Vimeo.

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Reddit 5-7-5 poems

Posted on April 9th, 2010 by admin

Reading and Writing Text

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This python program grabs headlines from reddit’s homepage and picks a headline randomly and converts it into a randomized 5-7-5 structured poem

Here YEARS Here 2 undercover
for goes YEARS report. Here is author
YEARS evangelical Atheist is church.

consider understands and seeking understands
service host; want understands want no you
assuming fucking one you’re Lunarpages.

Was Laid Off Obama? Off
Obama? for Obama? Off Employee Was Voting
Voting for Was Off Voting

Cool infographic infographic Nintendo Nintendo
infographic infographic infographic Nintendo Nintendo Cool infographic
infographic Cool Cool Nintendo Cool

from BeautifulSoup import BeautifulSoup
import urllib
import random

def haiku(words):

for i in range(0,5):
haiku = random.choice(words)
haikuList1.append(haiku)

print " ".join(haikuList1)

for i in range(0,7):
haiku = random.choice(words)
haikuList2.append(haiku)

print " ".join(haikuList2)

for i in range(0,5):
haiku = random.choice(words)
haikuList3.append(haiku)

print " ".join(haikuList3)

url = "http://www.reddit.com/r/reddit.com/"
titlesList = list()
num = int()
haikuList1 = list()
haikuList2 = list()
haikuList3 = list()

data = urllib.urlopen(url).read()
soup = BeautifulSoup(data)

for tag in soup.findAll("p", {"class" : "title"} ):
a = tag.findAll("a", {"class" : "title "} )
titles = a[0].string.encode('ascii', 'ignore')
titles = titles.strip()
titles = titles.split(" ")
titlesList.append(titles)

num = random.randrange(0,len(titlesList))
words = titlesList[num]
haiku(words)

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RWET Midterm: SOS Poem

Posted on March 12th, 2010 by admin

Reading and Writing Text

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The SOS Poem structure is based on the Morse code sequence . . . _ _ _ . . . Another goal for the poem is to follow the rhythm of SOS by using the following word structure: Name and Name Adverb Verb Adverb Name and Name. Also each name is composed of three letter names and the adverbs and verbs are composed of nine letter words. You can also see that it has a palindrome feel to it. Because of how the code is set up it words best when you input a list of names and another source text.

The source text is a list of congress people and the Obama Health Care bill

Lee and Jos gradually clarifying gradually Lee and Jos
Ken and Ron currently conducting currently Ken and Ron
Dan and Max seriously increased seriously Dan and Max
Ike and Joe primarily empowering primarily Ike and Joe

For and Fee gradually clarifying gradually For and Fee
All and One currently conducting currently All and One
But and Tax seriously increased seriously But and Tax
Act and Key primarily empowering primarily Act and Key

import sys
import re
congress = set()
congressName = list()
bill = set()
billWords = list()
verbs = set()
verbsList = list()
adverbs = set()
adverbsList = list()
state = "New"
name = " "
words = " "
verb = " "
adverb = " "
congressCounter = 0
verbCounter = 0
adverbCounter = 0
displayCounter = 0
fileObj = open('obamacare.txt')

lines = fileObj.readlines()

for line in sys.stdin:
line.strip()
for matching_string in re.findall(r's[A-Z][a-z][a-z]b', line):
name = matching_string
congress.add(name)

congress.remove(" New")

congressCounter = len(congress)
for num in range(0,congressCounter):
name = congress.pop()
name=name[1:]
congressName.append(name)

for words in lines:
words.strip()
for matching_verb in re.findall(r"bw{7}ed|bw{7}ing",words):
verb = matching_verb
verb = verb.lower()
verbs.add(verb)

verbCounter = len(verbs)
for num in range(0,verbCounter):
verb = verbs.pop()
verbsList.append(verb)

for words in lines:
words.strip()
for matching_adverb in re.findall(r"bw{7}ly",words):
adverb = matching_adverb
adverb = adverb.lower()
adverbs.add(adverb)

adverbCounter = len(adverbs)
for num in range(0,adverbCounter):
adverb = adverbs.pop()
adverbsList.append(adverb)

if congressCounter < verbCounter and congressCounter < adverbCounter:
displayCounter = congressCounter
elif verbCounter < congressCounter and verbCounter < adverbCounter:
displayCounter = verbCounter
elif adverbCounter < verbCounter and adverbCounter < congressCounter:
displayCounter = adverbCounter

for num in range(0,displayCounter,2):
#print num
if num < displayCounter:
nameone = congressName[num]
nametwo = congressName[num +1]
print(nameone + " and " + nametwo + " " + adverbsList[num] + " " + verbsList[num] + " " + adverbsList[num] + " " + nameone + " and " + nametwo)

Congress Text
Obama Care Text

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ASCII Art Presentation

Posted on February 25th, 2010 by admin

Reading and Writing Text

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ASCII Art Presentation

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Python HW Feb 19 Reddit Headlines

Posted on February 19th, 2010 by admin

Reading and Writing Text

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Reading and Writing Text Homework 1

Posted on February 5th, 2010 by admin

Reading and Writing Text

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For this homework I wanted to mashup 3 Charles Bukowski programs and make them adorable. I started with 3 poems: Death wants more Death, The Riot, and Two Kinds of Hell.

I started with

cat deathwantsmoredeath.txt theriot.txt twokindsofhell.txt

This is how I combined multiple files.

I ran python hwfeb05.py <charles#.txt>charles#.txt with the pound being increasing numbers from 0-5

This is the code for hwfeb05.py this code divides the poem in half

import sys

count = 0

for line in sys.stdin:

line = line.strip()

if count % 2 == 0:

output = line

else:

output = ""

print output

count += 1

Then I ran python hwfeb05replace.py< charles5.txt>charlesreplace.txt

Here is the code for hwfeb05replace.py. This replace code is what looks for the words I want to make adorable.

]
import sys

for line in sys.stdin:
line = line.strip()
line = line.replace('death', 'pandas')
line = line.replace('corpses', 'puppies')
line = line.replace('corpse', 'puppy')
line = line.replace('drink', 'hug')
line = line.replace('dark', 'puppy-eyed')
line = line.replace('drinks', 'hugs')
line = line.replace('ladies', 'unicorns')
line = line.replace('lady', 'unicorn')
line = line.replace('crime','party')
line = line.replace('enemy','buddy')
line = line.replace('enemies','buddies')
line = line.replace('bar','playground')
line = line.replace('alone','holding hands')
line = line.replace('body','kitten')
line = line.replace('bodies','kittens')
print line

Finally I ran python hwfeb05finder.py<charlesreplace.txt>charlesfinder.txt

import sys
for line in sys.stdin:
line = line.strip()
offset = line.find("pandas")
if offset != -1:
print line
offset = line.find("puppies")
if offset != -1:
print line
offset = line.find("puppy")
if offset != -1:
print line
offset = line.find("hug")
if offset != -1:
print line
offset = line.find("puppy-eyed")
if offset != -1:
print line
offset = line.find("hugs")
if offset != -1:
print line
offset = line.find("unicorns")
if offset != -1:
print line
offset = line.find("unicorn")
if offset != -1:
print line
offset = line.find("party")
if offset != -1:
print line
offset = line.find("buddy")
if offset != -1:
print line
offset = line.find("buddies")
if offset != -1:
print line
offset = line.find("playground")
if offset != -1:
print line
offset = line.find("holding hands")
if offset != -1:
print line
offset = line.find("kitten")
if offset != -1:
print line
offset = line.find("kittens")
if offset != -1:
print line

That gave me this output:

pandas wants more pandas, and its webs are full:

I would brush the puppies of flies

their sticky, ugly, vibrant kittens

towards some puppy-eyed corner

I sat in the same playground for 7 years, from 5 a.m.

I had no money but the hugs kept

to them I wasn’t the playground clown

and I began to hug holding hands and I found the company

heart, knocks began upon my door: unicorns

and the unicorns arrived one at a time and when it ended with

but I remembered the 7 years in the playground, I hardly ever bedded

his simple strength and salvation, they will send the unicorn

and then you remember the playground

somekitten in the playground saying: “hey, sir, forget it, he’s a mental

gods arranged to get all those unicorns knocking and you went for

the puff of kitten swelling

looking for the buddy

saw or sensed my party

The only thing that I need to figure out now is how not to print out duplicate lines

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