hiepph

# Windows
C:\Windows\System32\drivers\etc

hiepph

import dask.bag as db

labels = ["abc", "abd", "bcd"]
b = db.from_sequence(labels)

def join_2_set(a, b):
    return set(a) | set(b)

  
char_sets = b.map(set).fold(join_2_set).compute()

hiepph

# ref: https://www.geeksforgeeks.org/lru-cache-in-python-using-ordereddict/
from collections import OrderedDict


class LRUCache:
    def __init__(self, capacity):
        self.cache = OrderedDict()
        self.capacity = capacity

    def get(self, k):

hiepph

package main

import (
	"bufio"
	"fmt"
	"io"
	"os"
	"strconv"
	"strings"
)

hiepph

package main

import (
	"encoding/xml"
	"fmt"
	"io/ioutil"
	"os"
)

type Annotation struct {

hiepph

// spawn 10 concurrent workers to download links
package main

import (
	"bufio"
	"fmt"
	"io"
	"net/http"
	"os"
)

hiepph

-- Prepare {src,tgt}-train.txt for OpenNMT Image2Text
-- labels (json) >> prepareDataOpenNMT.hs >> src+tgt+vocab.txt (io)
-- src:        tgt
-- 123.jpg     <tr><td></td>
-- 456.jpg     <tr colspan=2 ><td></td>
--
-- vocab:
-- <td
-- colspan="2"
-- >

hiepph

# refer: https://stackoverflow.com/questions/18172257/efficient-calculation-of-fibonacci-series/23462371#23462371

import functools

@functools.lru_cache(None)
def fib(n):
    if n < 2:
        return n
    return fib(n-1) + fib(n-2)

hiepph

# tunnel 3888->8888 from the 'fti' server
ssh -L 3888:fti:8888 fti -N

hiepph

#!/usr/bin/env ruby
require 'net/http'
require 'json'

q = ARGV[0]

def get (url)
  uri = URI(url)
  return Net::HTTP.get(uri)
end