#!/bin/env bash
function tt() {
osascript &>/dev/null <<EOF
tell application "iTerm2"
tell current window
create tab with default profile command "$@"
end tell
end tell
#!/usr/bin/env bash
# From:
"(Organic) machinery"
"A line has two sides"
"A very small object Its center"
"Abandon desire"
"Abandon normal instructions"
View simple-reactive-event-loop.js
// Uses
var app = (function (document, bus) {
function appInit(event, appstate) {
var response = prompt("Foo?");
if (response == "foo") {
bus.dispatch("render", this, {"status": "ok"});
} else {
bus.dispatch("render", this, {"status": "errou-mane"});
from scipy.spatial.distance import euclidean
import numpy as np
from __future__ import division
def periodic_distance(a, b, period=12):
Euclidean distance w/ periodic boundaries.
>>> A = np.array([1, 12, 1])
>>> B = np.array([12, 1, 1])
View stream.hs
import System.Random
import Data.List
mu :: Fractional a => [a] -> a
mu [] = 0
mu ps = sum ps / (fromIntegral . length) ps
sigma :: Floating a => [a] -> a
sigma [] = 0
sigma ps = sqrt (mu $ map xm ps)
import collections
import toolz
import decorator
## same boilerplate as in common_models
class Stage(object):
def __init__(self, **constants):
import collections
## same boilerplate as in common_models
class Stage(object):
def __init__(self, **kwargs):
self.constants = kwargs
from __future__ import unicode_literals, print_function, generators
import doctest
# - 'do' notation
# - Py3 type annotations
# - More monadic types
class FormattedException(Exception):
def __init__(self, **kwargs):
from functools import partial, wraps
import doctest
def curry(f):
Allow partial evaluation of function (currying).
Returns a `functools.partial` until all arguments are specified:
>>> f = curry(lambda a,b: a + b)
View maybe.ts
export interface MonadI<T> {
lift<U>(transform: (v: T) => U): MonadI<U>;
bind<U>(transform: (v: T) => MonadI<U>): MonadI<U>;
export interface MaybeI<T> extends MonadI<T> {
isEmpty: boolean;
toString(): string;
get(): any;