wzjoriv

import torch as th

"""
Author: Josue N Rivera (github.com/wzjoriv)
Date: 7/3/2021
Description: Snippet of various clustering implementations only using PyTorch
Full project repository: https://github.com/wzjoriv/Lign (A graph deep learning framework that works alongside PyTorch)
"""

def random_sample(tensor, k):

scientificRat

#
# Taken from https://www.gadgetdaily.xyz/create-a-cool-sliding-and-scrollable-mobile-menu/
#
# Convert value returned from Linux event device ("evdev") to a HID code. This
# is reverse of what's actually hardcoded in the kernel.
#
# Lubomir Rintel <[email protected]>
# License: GPL
#
# Ported to a Python module by Liam Fraser.

MatheusRich

Google Summer of Code 2019 Report

Integrate functionality from gem-web into RubyGems gem CLI

[Gem-web][gem-web] is a tool that capable of providing an interface that allows opening documentation, source code, and website of a ruby gem. My goal on GSoC was integrating it on RubyGems' CLI, which would make this feature available out of the box to all ruby users, improving their productivity, since there would have no need to search this information manually.

My Planning

hardillb

const trad = require('node-tradfri-client');
const TradfriClient = trad.TradfriClient;

const psk = "the psk stored in the QR code on bottom of GW";
const ip = "IP address of GW"; // you find this with avahi

const client = new TradfriClient(ip);
//console.log(client);

client.authenticate(psk).then( (creds) => {

Akrabut

Ruby Bundler and gem metrics, statistics, and analytics

Goals and Achievements

Project Goal

To have Bundler report anonymous usage metrics over HTTP to rubygems.org when a heavy command is run (to avoid deteriorating the runtime), and to have a backend API endpoint in rubygems.org to instrument it.

Did we achieve the goal?

Basically, yes. The actual implementation changed a little bit, and we decided to only instrument the low cardinality metrics using Datadog, as the free Datadog version limits value cardinality and wouldn't work with, for example, time related metrics.

jmkim

#!/bin/bash

for a in $(ls -1 access* | sort -t. -k3,3nr)
do
    cat "$a" >> combined_access.log
done

for e in $(ls -1 error* | sort -t. -k3,3nr)
do
    cat "$e" >> combined_error.log

srnghn

from pyspark.sql.functions import *

# Implementation of ANOVA function: calculates the degrees of freedom, F-value, eta squared and omega squared values.
# Expects that 'categoryData' with two columns, the first being the categorical independent variable and the second being the scale dependent variable

def getAnovaStats(categoryData) : 
    cat_val = categoryData.toDF("cat","value")
    cat_val.createOrReplaceTempView("df")
    newdf = spark.sql("select A.cat, A.value, cast((A.value * A.value) as double) as valueSq, ((A.value - B.avg) * (A.value - B.avg)) as diffSq from df A join (select cat, avg(value) as avg from df group by cat) B where A.cat = B.cat")
    grouped = newdf.groupBy("cat")

jmkim

#!/bin/bash
# This script will create you CA-signed client certificate.
#
# First, please follow these steps:
#   - Create the root pair
#   - Create the intermediate pair
# in https://jamielinux.com/docs/openssl-certificate-authority/
#
# Second, this script will NOT use attributes defined in your
# `openssl.cnf'. Define your C, ST, and O to the head of this

whophil

# After Ubuntu 16.04, Systemd becomes the default. 
# It is simpler than https://gist.github.com/Doowon/38910829898a6624ce4ed554f082c4dd

[Unit]
Description=Jupyter Notebook

[Service]
Type=simple
PIDFile=/run/jupyter.pid
ExecStart=/home/phil/Enthought/Canopy_64bit/User/bin/jupyter-notebook --config=/home/phil/.jupyter/jupyter_notebook_config.py

jmkim

#!/bin/bash

# Batch change the mode bit (the permission of files and directories)
#
# USAGE:    script_name [path1] [path2]...
#           script_name
#
# Author:   Jongmin Kim ([email protected])