smly

#!perl

use Benchmark qw(:all);
use Digest::MurmurHash3::PurePerl;
use Digest::MurmurHash3;

my $count = 1e7;

cmpthese($count, {
    'Digest::MurmurHash3::PurePerl' => sub { Digest::MurmurHash3::PurePerl::murmur32('this is a test. ignore me.') },

smly

th = require 'torch'
mattorch = require 'fb.mattorch'

function main()
  train_data = th.load('data/train_all.t7')
  test_data = th.load('data/test_all.t7')

  print("Convert train_all (mat)")
  train_all_mat = {}
  for i=1, #train_data do

smly

; Exercise 2.21
(define (square x y) (* x y))

(define (square-list-a items)
  (if (null? items)
      '()
      (cons (* (car items) (car items))
            (square-list (cdr items)))))

(define (square-list-b items)

smly

; Exercise 2.20
(define (same-pair x . b)
  (define (is-same-parity? x y)
    (or (and (even? x) (even? y))
        (and (odd?  x) (odd?  y))))
  (define (same-pair-recur items)
    (if (null? items)
        '()
        (if (is-same-parity? x (car items))
            (cons (car items) (same-pair-recur (cdr items)))

smly

import Data.List (tails,sort)

-- build suffix array
build :: Ord a => [a] -> [[a]]
build = sort.tails

-- binary search
bs [] str  = False
bs [x] str = cmp str x
bs xs str 

smly

import System.Posix.Unistd
import System.Posix.Signals
import System.Exit

main = do
  let exit0 = exitWith ExitSuccess
  let exit1 = exitWith (ExitFailure 1)
  installHandler sigINT (Catch exit1) Nothing
  sleep 1000000
  exit0

smly

#!/usr/bin/env python
# PageRank (on memory)
# using power method

from numarray import *
from numarray.matrix import *
 
EPS = 1.0e-10

class PageRank():

smly

#!/usr/bin/env python
# HITS (on memory)
 
from numarray import *
from numarray.matrix import *
 
EPS = 1.0e-10
 
class HITS():
    def __init__(self, adj_matrix):

smly

#!/usr/bin/env python
# HITS (on memory)
# using co-citation matrix

from numpy import *
from numpy.linalg import *

class HITS():
    def __init__(self, adj_matrix):
        self._adj = adj_matrix

smly

#!/usr/bin/env python
# HITS (on memory)
# using co-citation matrix

from numpy import *
from numpy.linalg import *

class HITS():
    def __init__(self, adj_matrix):
        self._adj = adj_matrix