rrguntaka

def sum(arr)
  res = 0
  arr.each{|e| res+=e}
  res
end

def mult(arr)
  res = 1
  arr.each{|e| res*=e}
  res

rrguntaka

a.each_slice(n).to_a
#Source: http://snippets.dzone.com/posts/show/3486

rrguntaka

require "rubygems"
require "sequel"

DB = Sequel.connect('jdbc:sqlite:store.db') #
all_tables = DB[:sqlite_master]

topics = [];goals = [];prev_ind = 0;second_ind = 0

Dir.glob("*.txt").each do |f| 
  IO.readlines(f).each do |line|

rrguntaka

require "rubygems"
require "sequel"
require "date"

DB = Sequel.connect('jdbc:sqlite:stockinfo.db')
DB.create_table? :quote do
  primary_key :id
  String :tick
  DateTime :qdate
  Float :open

rrguntaka

def har_mean(a)
  a.size / a.map{|v| 1/v.to_f}.reduce(:+)
end

puts har_mean([6,9,12])

rrguntaka

def implies(a,b)
  !(a & !b)
end

def str(a)
  a.to_s[0].upcase
end


def printTable

rrguntaka

# The model here is a two state HMM (States are A and B).
# This is a simple network having 4 possible actions,
# two for each state (going to the other or staying at the same)

# pa and pb are probabilities of having next state as A
# from state A and B respectively
class Hmm
  def initialize(pa,pb)
    @pa = pa; @pb = pb
  end

rrguntaka

public class Matrix {
	Double[][] data;

	public Matrix(int m, int n) {
		data = new Double[n][m];
	}

	Matrix(Double[][] data) {
		this.data = data;
	}

rrguntaka

UPDATE table_to_be_updated t1
   SET (t1.col1, t1.col2) =
       (SELECT (t2.col1, t2.col2) subquery_or_table t2
           WHERE(t2.id1, t2.id2) in (t1.id1,t1.id2))
 WHERE (t1.id1, t1.id2) IN
           (select t2.id1, t2.id2 from subquery_or_table t2)

rrguntaka

CREATE TABLE InvRec(
  rcpt_nr integer primary key,
  purchase_date datetime not null,
  qty_on_hand integer not null
    check (qty_on_hand>= 0),
  unit_price decimal(12,4) not null
);


insert into InvRec values(1,'2011-01-01',15,10.00);