jimmyahacker

import numpy as np

def _read(dimensions, stream):
    if len(dimensions) == 0:
        return ord(stream.read(1))
    elif len(dimensions) == 1:
        return [val for val in stream.read(dimensions[0])]
    else:
        res = []
        for _ in range(dimensions[0]):

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Prerequisites

1. Use python2 not python3
2. Suppose the current working directory is $CWD
3. Suppose the data path is $DATA_PATH
4. Suppose the current shell is bash
5. Download following requirements.txt to current working directory
6. Old version of cuda installed(tested on v8.0.44)
7. Old version of cudnn installed(tested on 7.0v4.0)

Install pylearn2

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Usage

0. If you don't have a virtual environment, download create_venv.sh and do this in your working directory:

   source create_venv.sh

1. Run run-jupyter.sbatch and follow the instructions in NYU Prince Tutorial on how to run Jupyter Notebook:

   sbatch run-jupyter.sbatch

jimmyahacker

Prerequisites

0. Load singularity module:

module load singularity/2.4.4

1. Download and unzip StarCraft II for Linux: here I take StarCraft II 3.16 for example, you could replace the link and zip file name according to SC2 Official Linux Downloads
   1. Download zip

   wget http://blzdistsc2-a.akamaihd.net/Linux/SC2.3.16.1.zip

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# activate existed python3 module to get virtualenv
module load python3/intel/3.6.3

# create virtual environment with python3
virtualenv -p python3 $HOME/py3tf

# activate virtual environment
source $HOME/py3tf/bin/activate

# install tensorflow-gpu

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import java.util.*;

// a DisjointSet instance stands for a disjoint set that knows all its nodes
public class DisjointSet<T> {

    // the nodes in each DisjointSet instance
    public static class Node<T> {
        // the value of each node
        public final T val;
        // the parent of each node, defaut itself