joefutrelle

#include <avr/io.h>
#include <avr/interrupt.h>
#include <avr/wdt.h>
#include <avr/sleep.h>
#include <util/delay.h>

// cribbing from http://electronics.stackexchange.com/a/74850

void prevent_wdt_reset() {
  if(MCUSR & _BV(WDRF)){            // If a reset was caused by the Watchdog Timer...

joefutrelle

import h5py as h5

import numpy as np
from scipy.io import savemat

def save_class_scores(path, bin_id, scores, roi_numbers, class_labels):
    assert scores.shape[0] == len(roi_numbers), 'wrong number of ROI numbers'
    assert scores.shape[1] == len(class_labels), 'wrong number of class labels'
    with h5.File(path,'w') as f:
        ds = f.create_dataset('scores', data=scores, compression='gzip', dtype='f4')

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def wide_to_long(df, wide_cols_list, value_cols, long_col, long_labels):
    """converts selected columns from wide to long format. params:
    
    - df: the input dataframe
    - wide_cols_list: for each set of wide columns, a list of their names
    - value_cols: for each set of wide columns, the name of the long column to hold the values
    - long_col: the name of the column to indicate which set of wide columns the value comes from
    - long_labels: for each set of wide columns, what to call it in the long_col values.
    
    For example if I have the following DataFrame:

joefutrelle

# current as of 2018-12-10
# install docker-ce: https://docs.docker.com/install/linux/docker-ce/debian/#install-docker-ce-1
sudo apt-get update
sudo apt-get install -y apt-transport-https ca-certificates curl gnupg2 software-properties-common
curl -fsSL https://download.docker.com/linux/debian/gpg | sudo apt-key add -
sudo add-apt-repository \
   "deb [arch=amd64] https://download.docker.com/linux/debian \
   $(lsb_release -cs) \
   stable"
sudo apt-get update

joefutrelle

joefutrelle

import os
from scipy.io import loadmat
import pandas as pd
from pocean.dsg.timeseriesProfile.om import OrthogonalMultidimensionalTimeseriesProfile as OMTP

MAT_FILE = '/vagrant/nut_data_reps.mat'
OUT_DIR = './output'

mat = loadmat(MAT_FILE, squeeze_me=True)

joefutrelle

<dataset type="EDDTableFromNcCFFiles" datasetID="lter-nutrient" active="true">
    <reloadEveryNMinutes>10080</reloadEveryNMinutes>
    <updateEveryNMillis>10000</updateEveryNMillis>
    <fileDir>/home/vagrant/lter-poc/output/</fileDir>
    <fileNameRegex>.*\.nc</fileNameRegex>
    <recursive>true</recursive>
    <pathRegex>.*</pathRegex>
    <metadataFrom>last</metadataFrom>
    <preExtractRegex></preExtractRegex>
    <postExtractRegex></postExtractRegex>

joefutrelle

joefutrelle

#!/bin/sed -e
1i digraph foo {
s/\([[:alnum:]]*\) \([[:alnum:]]*\) \([[:alnum:]]*\)/\1 -> \3 [label="\2"];/
$a }

joefutrelle

(
Routine({
SynthDef("buzz", {arg bufnum;
var dust, pitch, density, amp, env, pan, osc, gate;
var brown1, brown2, brown3, brown4, brown5;
var pitch1, pitch2;
pitch1 = IRand(10,128);
pitch2 = IRand(10,128);
brown1 = LFNoise2.kr(LFNoise2.kr(0.1, 10).abs + 0.1, LFNoise2.kr(0.1, 1.0).abs).abs;
brown2 = LFNoise2.kr(LFNoise2.kr(0.1, 10).abs + 0.1, LFNoise2.kr(0.1, 1.0).abs).abs;