fcaylus

use num_traits::cast::ToPrimitive;
use num_traits::{abs, Pow, Zero};
use num_traits::real::Real;

// Formula from https://en.wikipedia.org/wiki/SRGB#From_sRGB_to_CIE_XYZ
pub fn srgb_to_cie_xyz(r: u8, g: u8, b: u8) -> (f64, f64, f64) {
    fn value_to_linear(value: &f64) -> f64 {
        if *value < 0.04045 {
            *value / 12.92
        } else {

fcaylus

val json = "{\"a\":1}"
val builder = SmileXContent.contentBuilder()
val parser = XContentFactory.xContent(XContentType.JSON).createParser(NamedXContentRegistry.EMPTY, DeprecationHandler.THROW_UNSUPPORTED_OPERATION, json)

builder.copyCurrentStructure(parser)

Files.write(Paths.get("test.sml"), BytesReference.toBytes(BytesReference.bytes(builder)))

fcaylus

lewis => blue jeans, red pants
medical, medic => emergency

fcaylus

# List top 20 biggest files/directory
sudo du -a / | sort -n -r | head -n 20

fcaylus

// Returns true if str contains c
constexpr bool contains(const char* str, const char *c)
{
    return (*str == 0) ? false : (str[0] == *c ? true: contains(++str, c));
}

constexpr int countOccurences(char* str, char* c)
{
    return (*str == 0) ? 0 : (str[0] == *c ? 1 + countOccurences(++str, c) : countOccurences(++str, c));
}

fcaylus

#############################################
# Windows
#############################################

# Compute a MD5 Hash
certutil -hashfile C:\path\to\file MD5


#############################################
# Linux

fcaylus

# -*- coding: utf-8 -*-
#
# Change a specified color to an another one for all *.png files in current dir
#

import glob
import numpy as np
from PIL import Image

# Original values

fcaylus

# -*- coding: utf-8 -*-

import tkinter as tk
import threading

class App(threading.Thread):

    def __init__(self):
        threading.Thread.__init__(self)
        self.start()

fcaylus

# -*- coding: utf-8 -*-
#!/usr/bin/env python

import matplotlib
matplotlib.use('TkAgg')

import numpy as np
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
# implement the default mpl key bindings
from matplotlib.backend_bases import key_press_handler

fcaylus

def isPrime(n):
    """ All primes number greater than 3 can be expressed in the form 6k +/- 1 """
    if n <= 0 or n == 1:
        return False
    elif n < 4: # Handle 2 and 3
        return True
    elif n%2==0:
        return False
    elif n < 9: # 4,6,8 are already excluded
        return True