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import React from "react";

type Reducer<State, Action, Effect> = (
  state: State,
  action: Action
) => [State, Effect];

type EffectHandler<Effect, Action> = (effect: Effect) => Promise<void | Action>;

type StateWithEffect<State, Effect> = [State, Effect];

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{
  description = "activity watch";

  inputs = {
    # for building rust apps
    naersk = {
      url = "github:nmattia/naersk";
      inputs.nixpkgs.follows = "nixpkgs";
    };

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use std::collections::hash_map::HashMap;

/// Cacher can cache function calls of one argument
pub struct Cacher<Computation, Input, Output>
where
  Computation: Fn(Input) -> Output,
  Input: std::cmp::Eq + std::hash::Hash,
  Output: std::clone::Clone,
  Input: std::clone::Clone,
{

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# Updated/fixed version from Gene Kogan's "machine learning for artists" collection - ml4a.github.io

import time
import os
import re
import random
import argparse
import urllib.request
import itertools
import bs4

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from __future__ import print_function

import os
import math
import torch
import argparse
import numpy as np
import torch.nn as nn
import torch.optim as optim
import torch.legacy.nn as lnn

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# ==================================================================
# module list
# ------------------------------------------------------------------
# torch         latest (git)
# ==================================================================

APT_INSTALL="apt-get install -y --no-install-recommends" && \
PIP_INSTALL="python -m pip --no-cache-dir install --upgrade" && \
GIT_CLONE="git clone --depth 10" && \

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#!/usr/bin/env bash
set -e

######################################################################
# This script installs required dependencies for Torch7
######################################################################
{

install_openblas() {
    # Get and build OpenBlas (Torch is much better with a decent Blas)

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