bnsh

	static int jaro_winkler_false(const char *a, const char *b) { return(jaro_winkler(a,b, false)); }
	static Handle<Value> generic(const Arguments& args, int (*func)(const char *, const char *)) {
		HandleScope scope;

		if (args.Length() != 2 || !args[0]->IsString() ||
		    !args[1]->IsString()) {
		    return THROW_BAD_ARGS;
		}

		String::Utf8Value a(args[0]->ToString());

bnsh

#! /usr/bin/perl -w

use strict;

{
	my @accs;
	while (<STDIN>) {
		chomp;
		my ($val) = $_;
		my ($val2, $val3, $val4);

bnsh

#! /usr/bin/python

import re

def main():
	pairs = {}
	threshold = 50 # change this to 50 for your actual problem
	# From https://gist.github.com/shurane/80061efaadcf5bb7f56e
	with open("Artist_lists_small.txt", "r") as fp:
		for line in fp:

bnsh

Keybase proof

I hereby claim:

• I am bnsh on github.
• I am binesh (https://keybase.io/binesh) on keybase.
• I have a public key whose fingerprint is 421D B4C2 2E96 B8EE 7190 A0CF B42F E71C 7FC3 AD96

To claim this, I am signing this object:

bnsh

#! /usr/local/torch/install/bin/th

require "cutorch"

--[=[
	Can someone tell me why running this as
		"th bernoullidemo.lua" works fine:
			torch.DoubleTensor	
			torch.DoubleTensor	
			 1  1  0  1  0  0  1  1  0  1

bnsh

#! /usr/local/torch/install/bin/th

require "nn"

function multiselector(t)
	local rv = nn.ConcatTable()
	for i, k in ipairs(t) do
		rv:add(nn.SelectTable(k))
	end
	return rv

bnsh

#! /usr/local/torch/install/bin/th

-- Just a demonstration of how to use nn.ClassNLLCriterion.

require "nn"

local num_inputs = 10

local num_features = 5
local num_classes = 4

bnsh

-- My horrendous version of random_patches. Is there a better way?
-- It takes as input a ByteTensor(batchsz, 3, x, y) and
-- outputs a DoubleTensor(batchsz, 3, 224, 224) which will be random
-- 224x224 patches sampled from the input. (And, it rescales it from
-- {0,255} to {-1,1})

local function random_patches(images, patchx, patchy)
-- So, images dimension should be n x channels x szx x szy
  local n, channels, szx, szy = unpack(images:size():totable())
  local rv = torch.zeros(n, channels, patchx, patchy)

bnsh

#! /usr/local/torch/install/bin/th

-- This will take as arguments a program and
-- exec it, and pipe into the program.. I dunno.
-- Let's say "Howdy"
-- For example: th pipedemo.lua /bin/cat
-- will simply echo "Howdy!" to the console
-- But, th pipedemo.lua /usr/bin/md5sum says
-- 7105f32280940271293ee00ac97da5a7  -

bnsh

#! /usr/local/torch/install/bin/th

local posix = require "posix"
local unistd = require "posix.unistd"
local stdio = require "posix.stdio"
local sys_wait = require "posix.sys.wait"

-- This will take as arguments a program and
-- exec it, and pipe into the program.. I dunno.
-- Let's say "Howdy"