alexstorer

# An R Script to do some scraping

getSearchString <- function(loc,heading,pitch) {
  s <- paste('http://maps.googleapis.com/maps/api/streetview?size=640x640',
             paste('location=',loc,sep=''),
             paste('heading=',heading,sep=''),
             paste('pitch=',pitch,sep=''),
             'sensor=false',             
             sep = '&')
  s <- gsub(' ','%20',s)

alexstorer

import re

fname = 'inp.txt'

colors = ['red','green','blue','orange','yellow']
colorheaders = ['red is for X','green is for y','blue','orange','yellow']

colorstrings = []

for c in colors:

alexstorer

import glob
import re
import csv

'''
 This script will extract the PS-B and PS-E tables from
 DOE .sim building files.

 This script was tested on DOE 2.1e .sim files.

alexstorer

import glob
import re
import csv

allfiles = glob.glob('1972_1998_batch/*.sim')

fw = open('psb.csv','w')
dw = csv.DictWriter(fw,["filename","month","electricity","gas"])
dw.writeheader()
fwt = open('psb_total.csv','w')

alexstorer

import re
import csv
import glob

fc = open('signers.csv','w')
c = csv.DictWriter(fc,["Name","Chamber","Number","Year Filename"])
c.writeheader()

# I used the pdftotext utility to convert the pdf documents
# Look here for details: http://www.bluem.net/en/mac/packages/

alexstorer

# Use this file by navigating in the terminal to the directory where your file is located and typing:
# python parsexml.py [name of xml file]
# You can parse multiple xml files by using the wildcard operator.
# To process every xml file in a directory, do this:
# python parsexml.py *.xml

from lxml import etree
import re
import csv
import os.path as op

alexstorer

# This file demonstrates how to...
# 1)  Make a new analyzer
# 2)  Make a new filter
# 3)  Apply an analyzer chain to a string (via a query)
# 4)  Include phrases as tokens

from lucene import *

class AnalyzerUtils(object):

alexstorer

# open the files in the directory, parse them and get the text.


#eg.text_content()

import glob
from lxml import etree
import lxml.html
import csv   
import urllib2

alexstorer

Universe = vanilla
Executable = /usr/local/bin/matlab
Arguments = -nodisplay -r \"addpath('/nfs/home/A/astorer/Work/dchan');
test($(Process))\"
when_to_transfer_output = ON_EXIT_OR_EVICT
transfer_output_files = out.$(PROCESS)

input =
output = out.$(Process)
error = error.$(Process)

alexstorer

num_statements = 5;
num_blocks = 9;

for run = 1:8
    
    % 150 statements, 50 of each type
    physical_order = Shuffle(1:50);
    mental_order = Shuffle(1:50);
    emotional_order = Shuffle(1:50);
    physical_num = 1