I hereby claim:
- I am starfys on github.
- I am starfys (https://keybase.io/starfys) on keybase.
- I have a public key ASBwKh51bcXg42N0IEnsQmLlLapOB-qIEN0nDwV8SBvYvwo
To claim this, I am signing this object:
use std::collections::hash_map::{self, HashMap}; | |
use std::hash::Hash; | |
pub struct HashWrap<K, V>(HashMap<K, V>); | |
impl<K, V> From<HashMap<K, V>> for HashWrap<K, V> { | |
fn from(value: HashMap<K, V>) -> Self { | |
Self(value) | |
} | |
} |
#![feature(iterator_step_by)] | |
extern crate rayon; | |
use rayon::prelude::*; | |
use std::time::SystemTime; | |
fn is_prime(n: i64) -> bool { | |
if n == 1 || (n > 2 && n % 2 == 0) { | |
false | |
} else { | |
let mut rbool = true; |
from math import sqrt | |
import time | |
def is_prime(n): | |
if n == 1 or (n > 2 and n % 2 == 0): | |
return False | |
else: | |
rbool = True | |
sroot = int(sqrt(n) + 1) | |
for i in range(3,sroot,2): |
/// Determines whether something is a robot | |
fn is_robot(entity: Entity) -> bool { | |
// TODO: Write this for real | |
unimplemented!() | |
} | |
#[test] | |
fn test_robot_detector() { | |
assert_eq!(is_robot(Entity::SamRemedios), false); | |
assert_eq!(is_robot(Entity::Roomba), true); |
/// Performs nuclear fission by reference | |
void atom_splitter(Atom atom, Atom& atom_out_1, Atom& atom_out_1) { | |
// Oak Ridge won't let us show this | |
} | |
int main() { | |
Atom uranium = Atom::Uranium; | |
Atom krypton, barium; | |
atom_splitter(uranium, &krypton, &barium); | |
} |
std::string day_name; | |
switch(day_number) { | |
case 0: | |
day_name = "Sunday"; | |
break; | |
case 1: | |
day_name = "Monday"; | |
break; | |
case 2: | |
day_name = "Tuesday"; |
let day_name = match day_number { | |
0 => "Sunday", | |
1 => "Monday", | |
2 => "Tuesday", | |
3 => "Wednesday", | |
4 => "Thursday", | |
5 => "Friday", | |
6 => "Saturday" | |
_ => panic!("There are only 7 days in a week.") | |
}; |
I hereby claim:
To claim this, I am signing this object:
#!/bin/env python3 | |
import matplotlib.pyplot as plt | |
from scipy.optimize import curve_fit | |
import numpy as np | |
from math import log | |
with open('resilience.txt','r') as res_file: | |
data = list(map(str.rstrip, res_file.readlines())) | |
data = list(map(lambda line: tuple(map(float, line.split(',')))[1], data)) |
#!/usr/bin/env python3 | |
import sys | |
print("//This converts brainfuck in stdin to c on stdout") | |
brainfuck_program = sys.stdin.read().rstrip() | |
#Print the starting code | |
print("#include <stdio.h>") | |
print("int main(){") |