jscrane

void spwm(int freq, int pin, int spd) {
  digitalWrite(pin, HIGH);
  delayMicroseconds(spd * freq);
  digitalWrite(pin, LOW);
  delayMicroseconds(spd * (255 - freq));
}

int delay = 15;

void loop() {

jscrane

.lib
*.cpp.o
tinysensor.ino.bin
tinysensor.ino.elf
tinysensor.eep

jscrane

.lib
*.cpp.o
*.ino.bin
*.ino.elf
*.eep
.*.swp

jscrane

date,time,sys,dia,pulse
2019-02-09,15:17:44,129,86,69
2019-02-09,08:48:58,120,84,63
2019-02-08,19:29:04,116,78,71

bp <- read.csv(file="/tmp/x.csv", header=TRUE, sep=",")
bp$date = as.Date(bp$date)
n = nrow(bp)
bq <- bp[order(bp$date, bp$time),]
matplot(bq, type="p", xaxt="n")

jscrane

#define MAX     5
Semaphore forks[MAX];
byte ids = 1;
byte leds[] = { 5, 6, 7, 8, 9 };

void eating(byte id) {
        digitalWrite(leds[id], HIGH);
        Tasks::delay(1 + random(MAX * 100));
        digitalWrite(leds[id], LOW);
}

jscrane

#!/usr/bin/env python

import sys
import string

# while lines are hashed as-is into a map where values are
# sets of indices.
def hash_whole(hashes, idx, s):
    h = hash(s)
    if not h in hashes:

jscrane

#!/bin/bash

PATH=/usr/local/bin:$PATH
WEMO=wemo
HOST=iot
CLIENT=wemo_mqtt
STAT=stat/wemo/power
CMND=cmnd/wemo/power

. wemo_functions.sh

jscrane

#!/bin/bash 

PATH=/usr/local/bin:$PATH
WEMO=wemo
  
. wemo_functions.sh 

case $# in
0)
  wemo_get $WEMO

jscrane

import numpy as np

# Predicts the label based on the sum of the observations with tolerance around 0
#
# ('Training accuracy for prediction +1:', 0.64809384164222872)
# ('Training accuracy for prediction -1:', 0.37745098039215685)
# ('Training accuracy for prediction 0:', 0.3524945770065076)
#
# Grader Score: 44.29%

jscrane

import sys
import os.path
import numpy as np
import collections

import util

USAGE = "%s <test data folder> <spam folder> <ham folder>"

def get_counts(file_list):