CodyKochmann

echo 'deb http://download.opensuse.org/repositories/devel:/kubic:/libcontainers:/stable/Debian_10/ /' > /etc/apt/sources.list.d/devel:kubic:libcontainers:stable.list
wget -nv https://download.opensuse.org/repositories/devel:kubic:libcontainers:stable/Debian_10/Release.key -O- | apt-key add -

apt update
apt install podman

sudu

# from http://stackoverflow.com/questions/31528981/dplyr-select-first-and-last-row-from-grouped-data
#
# select first and last row from grouped data

# df adjusted for demonstration
df <- data.frame(id=c(1,1,1,2,2,2,3),
                 stopId=c("a","b","c","a","b","c","a"), 
                 stopSequence=c(1,2,3,3,1,4,3))

# way1

ikashnitsky

################################################################################
#
# Sex ratios 12-10-2016
# Replicate the analysis for the post https://habrahabr.ru/post/311970/ (RUS)
# Ilya Kashnitsky, ilya.kashnitsky@gmail.com
#
################################################################################

# load required packages
# The code is written and tested on a PC-win7-x64

nachocab

roachhd

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mislavs

package com.msvs.bookshelf.adapters;

import android.os.Handler;
import android.support.v7.widget.RecyclerView;
import android.view.LayoutInflater;
import android.view.View;
import android.view.ViewGroup;
import android.widget.ImageView;
import android.widget.TextView;

stuartbain

class SubdomainValidator < ActiveModel::EachValidator
  # http://matthewhutchinson.net/2010/10/27/rails-3-subdomain-validation-activemodeleachvalidator

  def validate_each(object, attribute, value)
    return unless value.present?
    reserved_names = %w(www ftp mail pop smtp admin ssl sftp)
    reserved_names = options[:reserved] if options[:reserved]
    if reserved_names.include?(value)
      object.errors[attribute] << 'cannot be a reserved name'
    end

ZenCocoon

#
# Cookbook Name:: whenever
# Recipe:: default
#
ey_cloud_report "whenever" do
  message "starting whenever recipe"
end

if node[:instance_role] == 'solo' ||
   (node[:utility_instances].length > 0 && node[:utility_instances][0][:name] == node[:name]) ||

zacstewart

import os
import numpy
from pandas import DataFrame
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn.pipeline import Pipeline
from sklearn.cross_validation import KFold
from sklearn.metrics import confusion_matrix, f1_score

NEWLINE = '\n'

dsparks

doInstall <- TRUE  # Change to FALSE if you don't want packages installed.
toInstall <- c("ggplot2", "reshape2", "RColorBrewer")
if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

# Generate a random matrix
# This can be any type of numeric matrix,
# though we often see heatmaps of square correlation matrices.
nRow <- 9
nCol <- 16