mrorigo

import torch
import torch.nn as nn
import torch.nn.functional as F

class SoftMultiTokenEmbedding(nn.Module):
    """
    A MultiToken embedding layer that performs soft merging of adjacent tokens
    without requiring attention mask modifications.
    """
    def __init__(self, vocab_size, embedding_dim, dropout_rate=0.1):

mrorigo

/**
 * Copyright (C) 2022 orIgo <[email protected]>
 *
 * Cycle exact 6502 (2A03) emulator.
 *
 * - To initialize the cpu, provide an initialized `cpu_bus_t *` with memory read/write primitives to `cpu_init()` .
 * - For each tick/cycle, call `cpu_tick()` with the returned `cpu_t *`, checking the return value to detect HLT.
 * - To cause an NMI request, call `cpu_nmi()`.
 */
#include "cpu.h"

mrorigo

import java.util.LinkedList;
import java.nio.charset.Charset;
import java.io.IOException;
import java.io.OutputStream;
import java.io.FileOutputStream;

public class Log4Simple
{
    public enum Level {

mrorigo

%% Double Cola problem in Erlang
%% https://codeforces.com/problemset/problem/82/A

-module(main).
-export([start/1]).

start(N) ->
  io:fwrite(
    cola(N-1, [ {"Sheldon", 1}, 
                {"Leonard", 1},