Using java.security.MessageDigest is the simplest way import java.math.BigInteger import java.security.MessageDigest fun md5(input:String): String { val md = MessageDigest.getInstance(“MD5”) return BigInteger(1, md.digest(input.toByteArray())).toString(16).padStart(32, ‘0’) }
Yes, this is possible, but it’s not very elegant. You’ll have to use the parameters method, which returns an array of the method’s parameters and their types (in this case we only have keyword arguments). def foo(one: 1, two: 2, three: 3) method(__method__).parameters end #=> [[:key, :one], [:key, :two], [:key, :three]] Knowing that, there’s various … Read more
A hash table a data structure that allows lookup of items in constant time. It works by hashing a value and converting that value to an offset in an array. The concept of a hash table is fairly easy to understand, but implementing is obviously harder. I’m not pasting the whole hash table here, but … Read more
As of Python 3 this method does not work: Python has a built-in hash() function that’s very fast and perfect for most uses: >>> hash(“dfds”) 3591916071403198536 You can then make it unsigned: >>> hashu=lambda word: ctypes.c_uint64(hash(word)).value You can then turn it into a 16 byte hex string: >>> hashu(“dfds”).to_bytes(8,”big”).hex() Or an N*2 byte string, where … Read more
The hash is client side only, so the rules for HTTP may not apply to it.
Hash tables, on average, do have excellent time complexity for insertion, retrieval, and deletion. BUT: Big-O complexity isn’t everything. The constant factor is also very important. You could use hashtables in place of arrays, with the array indexes as hash keys. In either case, the time complexity of retrieving an item is O(1). But the … Read more
Now assumming you want a hash, and want something blazing fast that would work in your case, because your strings are just 6 chars long you could use this magic: size_t precision = 2; //change the precision with this size_t hash(const char* str) { return (*(size_t*)str)>> precision; } CRC is for slowpokes 😉 Explanation: This … Read more
One way to generate 200 hash values is to generate one hash value using a good hash algorithm and generate 199 values cheaply by XORing the good hash value with 199 sets of random-looking bits having the same length as the good hash value (i.e. if your good hash is 32 bits, build a list … Read more
Here is some code and the sample output: public static void main ( String[] args ) { int h = 0xffffffff; int h1 = h >>> 20; int h2 = h >>> 12; int h3 = h1 ^ h2; int h4 = h ^ h3; int h5 = h4 >>> 7; int h6 = h4 … Read more
Prior to 1.9, behavior of enumerated hashes was not in the ruby specification and therefore was up to implementation — basically, hash enumeration behavior/pattern was undefined by the language and implementations could really do whatever they want (random? sorted? insertion order? different method every time? anything goes!) 1.9+, hash enumeration is specified by the language … Read more