GoingMyWay

class Solution:
    def __init__(self) -> None:
        # count: 3
        grid1 = [
            [0, 0, 1, 1, 0],
            [0, 1, 1, 1, 1],
            [0, 0, 0, 0, 0],
            [1, 1, 1, 1, 1],
            [0, 0, 0, 0, 0],

GoingMyWay

import time

import ray


@ray.remote(num_cpus=2)
class C(object):
    def __init__(self) -> None:
        self.stop = 0

GoingMyWay

if [ -z "$EXP_DIR" ]
then
    EXP_DIR=/home/docker/
fi

echo "EXP_DIR: $EXP_DIR"
cd $EXP_DIR

# mkdir 3rdparty
# cd 3rdparty

GoingMyWay

#!/bin/bash
echo "task: ${1}, to be killed"
ps -ef | grep $1

echo "killing task: ${1}"
for id in `ps -ef | grep $1 | awk ' { print $2 } '`; do kill -9 $id; done

GoingMyWay

secondString="pdf";
sec="";
while IFS="," read title url; do 
	nurl=${url/forum/$secondString};
	ntitle=${title//[:?^]/_};
	wget -O ./papers/21-"${ntitle}".pdf $(echo $nurl | tr -d '\r';) &
done < iclr_papers.csv

GoingMyWay

#!/bin/bash
echo "[INFO] Starting running tensorboard from logpath $1"
tensorboard --logdir $1 --host 0.0.0.0

GoingMyWay

#!/bin/sh
#
# print total CPU usage in percent of all available users
# but skips the ones with a CPU usage of zero
#
# 1st column: user
# 2nd column: aggregated CPU usage
# 3rd column: normalized CPU usage according to the number of cores
#
# to sort by CPU usage, pipe the output to 'sort -k2 -nr'

GoingMyWay

import numpy as np
import torch as th
import torch.nn as nn
import matplotlib.pyplot as plt

from torch.optim import Adam


arr = np.arange(100)

GoingMyWay

import argparse
import multiprocessing

import tqdm
import openreview
import pandas as pd


def worker(reviews):
    client = openreview.Client(baseurl='https://api.openreview.net', username='', password='')