bmander

import csv

AM_PEAK_LEN=3.0 #hours, 6am-9am
PM_PEAK_LEN=3.0 #hours 3pm-6pm

ROUTE_ROW=0
CUR_TRIP_PEAK_AM=3
CUR_TRIP_PEAK_PM=4
PROP_TRIP_PEAK_AM=5
PROP_TRIP_PEAK_PM=6

bmander

# language corpus here: http://www.kilgarriff.co.uk/BNClists/all.al.gz
# a tale of two cities here: http://www.gutenberg.org/cache/epub/98/pg98.txt

import math
import re

codes = {}
codelens = {}

def baseN(num,b,numerals="abcdefghijklmnopqrstuvwxyz"):

bmander

print "hello, world"

bmander

 	

BufferedReader reader;
String line;

class ShapePoint {
  public int shape_id;
  public float lat;
  public float lon;
  

bmander

int WIDTH = 500;
int HEIGHT = 500;
int ANTS_AT_A_TIME = 30;
boolean DRAW_PATH = false;

float sum_array( float[] floats ) {
  float ret = 0;
  
  for(int i=0; i<floats.length; i++){
    ret += floats[i];

bmander

int NGROUPS=5;
float INFINITY = 100000000;
int RANDOM_POINTS = 75;
boolean USE_RANDOM_POINTS = true;
float TRUCK_SLACK = 1.1;

class PointGroup {
  ArrayList points;
  PVector mean;
  

bmander

import sqlite3

def main(osmdb_name, gdb_name,map_filename):
    osmdb = sqlite3.connect(osmdb_name)
    gdb = sqlite3.connect(gdb_name)
    
    c = gdb.cursor()
    
    c.execute( "select vertex1, count(*) from edges where vertex1 LIKE 'osm%' group by vertex1" )
    

bmander

from gtfs import Schedule
from gtfs.entity import Trip, StopTime, Stop
from sqlalchemy.orm import eagerload
import csv
import sys

from prender import processing

def cons(ary):
  for i in range(len(ary)-1):

bmander

"""Get a bunch of 2gram files. Then split the 2grams with spaceize(). Then set up a database like

create table digram (word1 text, word2 text, year integer, match_count integer, page_count integer, volume_count integer);
.separator "\t"
.import spaceized.csv digram

then you're set up to use chain()"""

import csv
import sqlite3

bmander

# wow. energy.
#
# grab source data from http://www-k12.atmos.washington.edu/k12/grayskies/nw_weather.html

import csv
from datetime import datetime, timedelta

MINS_IN_DAY=1440

fp = open( "LFEM_data-.csv" )