First some boilerplate:
def side_effecty_id(x):
print(x)
return x
Now, consider:
lambdas_0 = tuple((lambda x: x >= side_effecty_id(i)) for i in range(10))
tuple(l(5) for l in lambdas_0)
{ | |
"$schema": "https://json.schemastore.org/resume", | |
"meta": { "theme": "stackoverflow" }, | |
"basics": { | |
"name": "Torsten Scholak", | |
"label": "Applied research scientist, NLP researcher and project lead at Element AI", | |
"image": "https://avatars3.githubusercontent.com/u/1568873?s=460&u=65ed466c5b8c624ff7523315b76f56ac40c44696&v=4", | |
"email": "[email protected]", | |
"summary": "I'm a researcher, tech and research lead, mentor, developer, and innovator who can drive and guide product-focussed research projects from inception to conclusion.", | |
"location": { |
data E (c :: k -> Constraint) (f :: k -> Type) = forall a . c a => E { unE :: f a } | |
runE :: forall b c f . (forall a . c a => f a -> b) -> E c f -> b | |
runE g (E a) = g a | |
-- this says that when I have a value of type 'E c f' where 'c' is a type-level function from kinds to constraints | |
-- and 'f' is a data type with one kind parameter, then I can apply any function | |
-- | |
-- @ | |
-- g :: forall a . c a => f a -> b |
First some boilerplate:
def side_effecty_id(x):
print(x)
return x
Now, consider:
lambdas_0 = tuple((lambda x: x >= side_effecty_id(i)) for i in range(10))
tuple(l(5) for l in lambdas_0)
{-# LANGUAGE TemplateHaskell #-} | |
{-# LANGUAGE TypeOperators #-} | |
{-# LANGUAGE MultiParamTypeClasses #-} | |
{-# LANGUAGE RankNTypes #-} | |
{-# LANGUAGE FlexibleInstances #-} | |
{-# LANGUAGE FlexibleContexts #-} | |
{-# LANGUAGE UndecidableInstances #-} | |
{-# LANGUAGE GADTs #-} | |
module Main (main) where |
import _root_.cats.data.{Reader, Writer} | |
import org.atnos.eff._ | |
import org.atnos.eff.all._ | |
import org.atnos.eff.syntax.all._ | |
object poop { | |
case class T1(s: String) | |
case class T2(s: String) | |
case class T3(s: String) |
from __future__ import absolute_import | |
from __future__ import division | |
from __future__ import print_function | |
from time import time | |
import edward as ed | |
import matplotlib.pyplot as plt | |
import numpy as np | |
import tensorflow as tf |
cat >local-fix-resolved-bz1353536.te <<'EOF' | |
module local-fix-resolved-bz1353536 1.0; | |
require { | |
type systemd_resolved_t; | |
type system_dbusd_t; | |
type chronyd_t; | |
type unconfined_t; | |
class dbus { acquire_svc send_msg }; |
try: | |
from urllib.parse import quote # Py 3 | |
except ImportError: | |
from urllib2 import quote # Py 2 | |
import os | |
import sys | |
try: | |
BLOG_DIR = os.environ['BLOG_DIR'] | |
except KeyError: |