Gerard Madorell GMadorell

I hereby claim:

I am skabed on github.
I am gmadorell (https://keybase.io/gmadorell) on keybase.
I have a public key whose fingerprint is 897E 80B3 E945 C2C4 6BAE 0E79 BEC3 5ED9 C941 7C2F

To claim this, I am signing this object:

	import cats.{Id, Monad}
	import cats.implicits._


	object AccumulateConventional extends App {

	trait Console {
	def write(text: String): Unit
	def read(): String
	}

	#!/bin/bash
	set -e

	PROJECT_NAME="$1"
	SCALA_VERSION="2.11.8"
	SCALATEST_VERSION="3.0.0"

	echo " . Creating project folder with name: $PROJECT_NAME..."

	mkdir $PROJECT_NAME

	import com.mongodb.*;

	import java.net.UnknownHostException;
	import java.util.ArrayList;
	import java.util.Collections;
	import java.util.List;

	public class Main {

	static final String DELIMITER = "---------------\n";

	package fizzbuzz

	object Fizzbuzz {
	def fizzbuzz(n: Int): String = n match {
	case _ if (n % 3) == 0 && (n % 5) == 0 => "fizzbuzz"
	case _ if (n % 3) == 0 => "fizz"
	case _ if (n % 5) == 0 => "buzz"
	case _ => ""
	}

	def cache_in_file(filepath, object_creation_function):
	if os.path.exists(filepath):
	with open(filepath, "r") as dump_file:
	obj = pickle.load(dump_file)
	else:
	obj = object_creation_function()
	with open(filepath, "w") as dump_file:
	pickle.dump(obj, dump_file)
	return obj

	def backup_file(file_path, backup_path=None, verbose=True):
	"""
	If the given 'file_path' exists, this function creates a copy of it.
	Backup is done at 'backup_path'.backup# (backup_path defaults to
	'file_path'.
	If 'verbose' is set (defaults to True), prints output when backing up.
	"""
	if not os.path.isfile(file_path):
	return
	if not backup_path:

	import os

	TOP_LEVEL_NAME = "lorayne_numbers"


	def __get_current_path():
	return os.path.dirname(os.path.abspath(__file__))


	def get_top_level_path():

	import numpy as np

	# http://stackoverflow.com/questions/16970982/find-unique-rows-in-numpy-array

	def find_unique_rows(array):
	b = array[np.lexsort(array.reshape((array.shape[0],-1)).T)];
	return b[np.concatenate(([True], np.any(b[1:]!=b[:-1], axis=tuple(range(1,array.ndim)))))]


	if __name__ == "__main__":