mcourteaux

import pandas as pd
import numpy as np
from typing import Dict, List, Union, Tuple, Optional

df1 = pd.read_parquet("smartphone_acceleration.parquet")
df2 = pd.read_parquet("wearable_acceleration.parquet")
df1.set_index("timestamp", inplace=True)
df2.set_index("timestamp", inplace=True)
df1.rename(columns={str(x) : str(x) + "_A" for x in df1.columns}, inplace=True)
df2.rename(columns={str(x) : str(x) + "_B" for x in df2.columns}, inplace=True)

mcourteaux

#!/bin/bash

if [ -e /usr/local/bin/youtube-dl ]; then
    echo "Already installed"
else
    #sudo curl -L https://yt-dl.org/downloads/latest/youtube-dl -o /usr/local/bin/youtube-dl
    #sudo chmod a+rx /usr/local/bin/youtube-dl
    sudo pip3 install --upgrade youtube_dl
fi

mcourteaux

#!/bin/bash
xmodmap -e "keycode 94 = at numbersign"
xmodmap -e "keycode 49 = less greater"

mcourteaux

include(CMakeParseArguments)

function(halide_use_image_io TARGET)
  target_include_directories(${TARGET} PRIVATE "${HALIDE_ROOT_DIR}/tools")
  foreach(PKG PNG JPEG)
    # It's OK to call find_package() for the same package multiple times.
    find_package(${PKG} QUIET)
    if(${PKG}_FOUND)
      target_compile_definitions(${TARGET} PRIVATE ${${PKG}_DEFINITIONS})
      target_include_directories(${TARGET} PRIVATE ${${PKG}_INCLUDE_DIRS})

mcourteaux

use std::collections::HashSet;
use std::iter::FromIterator;

pub fn reduce(cycles : &Vec<Vec<usize>>, node_size : usize) -> Vec<usize> {
    let mut set : Vec<HashSet<usize>> = cycles.iter().map(|v| HashSet::from_iter(v.iter().map(|&a| a))).collect();
    let mut importance : Vec<usize> = set.iter().map(|v| v.len()).collect();
    let mut counter = node_size;
    let mut res = Vec::new();
    while counter > 0 {
        let max_index = importance.iter().enumerate().map(|(n, &s)| (s, n)).max().unwrap().1;

mcourteaux

#include <chrono>
#include <cmath>
#include <fstream>
#include <iostream>
#include <string>
#include <thread>
#include <vector>

struct light_dev {
    virtual void set_brighness(float fraction) = 0;