aforren1

// almost word-for-word transcribed from the qrLMM R package

// if you want to operate in unconstrained space,
// mu can be left be
// sigma should be > 0, so log transform
// p should be 0 < p < 1, so logit transform
namespace ald {
    // density function
    template<class Type>
    Type dald(Type y, Type mu, Type sigma, Type p) {

aforren1

# install dependencies, lzip (for extracting compressed file), and checkinstall (for easy uninstall)
sudo apt-get install gcc g++ gfortran make libblas-dev liblapack-dev libpcre3-dev libarpack2-dev libcurl4-gnutls-dev epstool libfftw3-dev transfig libfltk1.3-dev libfontconfig1-dev libfreetype6-dev libgl2ps-dev libglpk-dev libreadline-dev gnuplot-x11 libgraphicsmagick++1-dev libhdf5-serial-dev openjdk-8-jdk libsndfile1-dev llvm-dev lpr texinfo libgl1-mesa-dev libosmesa6-dev pstoedit portaudio19-dev libqhull-dev libqrupdate-dev libqscintilla2-dev libqt4-dev libqtcore4 libqtwebkit4 libqt4-network libqtgui4 libqt4-opengl-dev libsuitesparse-dev texlive libxft-dev zlib1g-dev autoconf automake bison flex gperf gzip icoutils librsvg2-bin libtool perl rsync tar lzip checkinstall

# make an octave directory
cd ~
mkdir octave
cd octave

# fetch and extract files -- go to https://ftp.gnu.org/gnu/octave/
# to see if there's a more recent version

aforren1

We'll stick to 32-bit installation (to make iohub happy?)

1. Install python 2.7.12 x86 (make sure to add python to your PATH var, just for ease-of-use)

• We use this version solely for compatibility with the nidaqmx package (2.7.14 being compatible when it comes out)
• Ideally, psychopy will eventually support 3.x, which is actively developed

2. Install wheels for numpy and scipy from http://www.lfd.uci.edu/~gohlke/pythonlibs/

• for instance, use numpy‑1.12.1+mkl‑cp27‑cp27m‑win32.whl because we're using python 2.7 on 32 bit
• python -m pip install <path_to_numpy_whl>.whl
• We install these two globally because they're cumbersome to keep re-installing and rather large

aforren1

IDE

• rstudio

Reproducible research tools

• packrat - roughly equivalent to python's virtualenv (isolated package env)
• drake/remake - like GNU make (I think drake is better maintained at this point, but few examples)
• RStudio's projects - at least drops you in the right working directory & ties in with packrat
• Make a package! - higher startup cost, but user installation is trivial
• rocker (R through Docker)

aforren1

class Experiment(Machine):
    def is_line_crossed(self): return self.line_crossed
    
    def reset_line(self): self.line_crossed = False
    
    def done_countdown(self): 
        self.countdown_done = True
        print "Done the countdown"
        
    def start_countdown(self):

aforren1

# Install preemptive kernel
apt install build-essential git linux-image-rt-amd64 -y # check with `uname -r`

# Install miniconda (update later via `conda update conda`
wget http://repo.continuum.io/miniconda/Miniconda3-3.7.0-Linux-x86_64.sh -O ~/miniconda.sh
bash ~/miniconda.sh -b -p $HOME/miniconda # accept license, add to path
echo 'export PATH="$HOME/miniconda3/bin:$PATH"' >> ~/.bashrc

# update audio settings

aforren1

Install raspbian (https://www.raspberrypi.org/downloads/raspbian/)

run `sudo apt update && sudo apt upgrade --yes`

Turn on desktop GL in `sudo raspi-config`
(sudo apt install mesa-utils & run glxgears for verification)

edit /boot/config.txt and add `gpu_freq=500` (overclocks the GPU from 400->500) and `gpu_mem=320` (gives the GPU more memory)

aforren1

https://ci.appveyor.com/api/buildjobs/9lty5fdd9a8y133i/artifacts/dist/ratcave-0.8.0-cp37-cp37m-win_amd64.whl

aforren1

Usually 10648 draw calls (22 Dim) at 60fps

aforren1

import moderngl as mgl
import glfw
import numpy as np
import glm
import mapbox_earcut as earcut
from timeit import default_timer
from xxhash import xxh32

vao_cache = {}