atheriel

#!/usr/bin/env bpftrace
/*
 * ralloc - Print allocations of R vectors.
 *
 * Copyright 2020 Aaron Jacobs
 * Licensed under the MIT License or the Apache License, version 2.0.
 */

BEGIN
{

SymbolixAU

library(data.table)
library(dplyr)
library(sp)
library(rgeos)
library(UScensus2000tract)
library(geosphere)
library(geodist)

aquasync

library(data.table)
dyn.load('mmap_alloc.dll')

## create test ~74GB dataset, similar to
## https://github.com/Rdatatable/data.table/wiki/Benchmarks-:-Grouping

N=2e9; K=100
set.seed(1)
DT = list()
# empty mmap columns

ltrgoddard

# Takes an ordered vector of numeric values and returns a small bar chart made
# out of Unicode block elements. Works well inside dplyr mutate() or summarise()
# calls on grouped data frames.

sparkbar <- function(values) {
  span <- max(values) - min(values)
  if(span > 0 & !is.na(span)) {
    steps <- round(values / (span /  7))
    blocks <- c('▁', '▂', '▃', '▄', '▅', '▆', '▇', '█')
    paste(sapply(steps - (min(steps) - 1), function(i) blocks[i]), collapse = '')

olih

Processing JSON using jq

jq is useful to slice, filter, map and transform structured json data.

Installing jq

On Mac OS

brew install jq

mojodna

sudo yum -y update
sudo yum-config-manager --enable epel
sudo yum -y install make automake gcc gcc-c++ libcurl-devel proj-devel geos-devel
cd /tmp
curl -L http://download.osgeo.org/gdal/2.0.0/gdal-2.0.0.tar.gz | tar zxf -
cd gdal-2.0.0/
./configure --prefix=/usr/local --without-python
make -j4
sudo make install

s-u

#include <sys/types.h>
#include <sys/stat.h>
#include <sys/mman.h>
#include <unistd.h>
#include <fcntl.h>

#include <Rinternals.h>
#include <R_ext/Rallocators.h>

static void *mmap_alloc(R_allocator_t *allocator, size_t length) {