marty1885

#include <chrono>
#include <iostream>
#include <vector>
#include <random>
#include <cstring>
#include <array>

#include <cblas.h>
#include <rknn_matmul_api.h>

marty1885

#include <string>
#include <vector>
#include <functional>
#include <iostream>
#include <optional>
#include <cassert>
#include <unordered_set>
#include <cppcoro/generator.hpp>
#include <cppcoro/task.hpp>
#include <cppcoro/sync_wait.hpp>

marty1885

#include <cxxabi.h>
#include <iostream>

void demangle_name(const std::string& mangled_name)
{
    std::size_t len = 0;
    int status = 0;
    auto name = __cxxabiv1::__cxa_demangle(mangled_name.c_str(), nullptr, &len, &status);
    if (status == 0)
    {

marty1885

#include <cstddef>
#include <functional>
#include <memory>
#include <utility>
#include <stdexcept>
#include <iostream>

template <typename>
struct shared_function{};

marty1885

import gym
from etaler import et
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

def running_mean(x, N):
    cumsum = np.cumsum(np.insert(x, 0, 0))
    return (cumsum[N:] - cumsum[:-N]) / float(N)

marty1885

#include "crypto.hpp"
#include <regex>

#include <bsd/stdlib.h>
#include <botan/argon2.h>
#include <botan/system_rng.h>

static Botan::System_RNG rng;

uint32_t secureRandom(uint32_t lower, uint32_t upper)

marty1885

#include <drogon/drogon.h>
#include <exception>
#include <coroutine>
#include <stdexcept>

using namespace drogon;

int main()
{
	app().createDbClient("postgresql", "localhost", 5432, "test", "test", "some legit password 191561", 16)

marty1885

==> Making package: root 6.22.06-1 (Mon 07 Dec 2020 02:32:35 PM CST)
==> Checking runtime dependencies...
==> Checking buildtime dependencies...
==> Retrieving sources...
  -> Found ROOFIT_LICENSE
  -> Found root.xml
  -> Found root.pc.tpl
  -> Found settings.cmake
  -> Found jupyter_notebook_config.py
  -> Found nbman-for-arch.patch

marty1885

// To compile: (Tested on Arch Linux)
//             c++ sdl_gl.cpp -o sdl_gl `pkg-config sdl2 --cflags --libs` -lwayland-egl -lwayland-egl -lGL -lEGL -lX11 && ./sdl_gl

#include <stdio.h>
#include <stdint.h>
#include <assert.h>
#include <SDL2/SDL.h>
#include <SDL2/SDL_opengl.h>
#include "SDL2/SDL_syswm.h"
#include <GL/gl.h>

marty1885

from etaler import et
import gym

env = gym.make('FrozenLake-v0', is_slippery=False)

# The agent is very simple. Mathmetically, think it as a weaker Q table. Biologically, it is a bunch
# of perimedial neurons receving input signals and direcly connected to a motor. Then the reward is
# used for modifing the behaivor of the neurons.
class Agent:
    def __init__(self):