pepijndevos

(ns wiki.core
  (:use net.cgrand.moustache
        ring.adapter.jetty
        ring.util.response
        [ring.middleware params stacktrace reload]
        hiccup.core
        com.ashafa.clutch)
  (:require [clojure.string :as s])
  (:import org.pegdown.PegDownProcessor))

antirez

#ifndef __NN_H
#define __NN_H

/* Data structures.
 * Nets are not so 'dynamic', but enough to support
 * an arbitrary number of layers, with arbitrary units for layer.
 * Only fully connected feed-forward networks are supported. */
struct AnnLayer {
	int units;
	double *output;		/* output[i], output of i-th unit */

rragundez

mattbaggott

##
## Sample code to demonstrate circular time plots in R
## matt@baggott.net
## Dec 22, 2012

# inspired by 
# http://stackoverflow.com/questions/2076370/most-underused-data-visualization

library(lubridate)
library(circular)

ottomata

# See also:_https://pythonspeed.com/articles/conda-docker-image-size/

# The conda env build stage image:
# 1. Create conda env
# 2. Optionally install conda dependencies
# 3. Optionally install pip dependencies
FROM continuumio/miniconda3 AS conda_build_env

# Create a bare conda env.
# We need at minimum python, pip, conda-pack and gcc and g++ (to build any binary pip packages later)

ottomata

# Pyflink Streaming Table Env + Event Utilities Event Platform integration.

# Download wikimedia-event-utilities Flink:
# Download Wikimedia Event Utilities Flink jar, e.g.
# https://archiva.wikimedia.org/#artifact-details-download-content/org.wikimedia/eventutilities-flink/1.2.0
#   wget http://archiva.wikimedia.org/repository/releases/org/wikimedia/eventutilities-flink/1.2.0/eventutilities-flink-1.2.0-jar-with-dependencies.jar
# Also download other dependencies we need:
#   wget https://repo1.maven.org/maven2/org/apache/flink/flink-connector-kafka/1.15.2/flink-connector-kafka-1.15.2.jar
#   wget https://repo1.maven.org/maven2/org/apache/kafka/kafka-clients/3.2.3/kafka-clients-3.2.3.jar
# If you like, use ipython for your REPL, its nicer!

wolfeidau

Install i2c tools to check for PCA9685 board.

sudo apt-get install i2c-tools
sudo i2cdetect -y 1

Install vim and git.

lucianposton

set from="user@protonmail.com"
set my_user="user@protonmail.com"
set my_pass="pass"

set ssl_starttls=yes

set smtp_url="smtp://$my_user:$my_pass@127.0.0.1"

# workaround for https://github.com/neomutt/neomutt/issues/1211
set imap_authenticators=login

mandrean

# Instructions for fresh install

$ sh <(curl -L https://nixos.org/nix/install) --darwin-use-unencrypted-nix-store-volume --daemon
# reboot
$ source /nix/var/nix/profiles/default/etc/profile.d/nix-daemon.sh
$ echo 'export NIX_PATH=darwin-config=$HOME/.nixpkgs/darwin-configuration.nix:$HOME/.nix-defexpr/channels${NIX_PATH:+:}$NIX_PATH' | tee -a ~/.zshrc
$ echo 'source $HOME/.nix-profile/etc/profile.d/hm-session-vars.sh' | tee -a ~/.zshrc
$ nix-channel --add https://nixos.org/channels/nixpkgs-unstable
$ nix-channel --add https://github.com/LnL7/nix-darwin/archive/master.tar.gz darwin
$ nix-channel --add https://github.com/nix-community/home-manager/archive/master.tar.gz home-manager

tartakynov

import numpy as np
import pylab as pl
from numpy import fft
    
def fourierExtrapolation(x, n_predict):
    n = x.size
    n_harm = 10                     # number of harmonics in model
    t = np.arange(0, n)
    p = np.polyfit(t, x, 1)         # find linear trend in x
    x_notrend = x - p[0] * t        # detrended x