delijati

#!/usr/bin/env python
import hashlib
import optparse

import paramiko
from Crypto.PublicKey import RSA


def insert_char_every_n_chars(string, char='\n', every=64):
    return char.join(

delijati

import structlog


def _add_log_level_upper(logger, method_name, event_dict):
    event_dict["level"] = method_name.upper()[0]
    return event_dict


level_styles = structlog.dev.ConsoleRenderer.get_default_level_styles()
new_styles = {}

delijati

import numpy as np
import h5py

SIZE = 500000

with h5py.File("test.hdf", "w") as f:
    f["first"] = np.random.random(SIZE)
    f["first"].attrs["git id"] = "yay this is a string"
    f["second"] = np.random.random(SIZE)
    f["second"].attrs["git id"] = "yay this is a string"

delijati

import numpy as np

SIZE = 500000
meta = {}

first = np.random.random(SIZE)
meta["first"] = {"git id": "yay this is a string"}
second = np.random.random(SIZE)
meta["second"] = {"git id": "yay this is a string"}
third = np.random.random(SIZE)

delijati

function bionifyPage(){
        function bionifyWord(word) {
            if (word.length == 1) {
                return word;
            }
            var numBold = Math.ceil(word.length * 0.3);

            // return "<div class=\"bionic-highlight\">" + word.slice(0, numBold) + "</div>" +  + "<div class=\"bionic-rest\">" + word.slice(numBold) + "</div>";
            return "<b>" + word.slice(0, numBold) + "</b>" + "<span>" + word.slice(numBold) + "</span>";
        }

delijati

#include <iostream>
#include <cuda_runtime.h>
#include <cudnn.h>


/**
 * Minimal example to apply sigmoid activation on a tensor 
 * using cuDNN.
 **/
int main(int argc, char** argv)