rebcabin

#! /usr/bin/env python
'''
	Simple example demonstrating how to take a screenshot
'''
import time
import sys
import os
import argparse

#OpenGL

rebcabin

"""
A perl Data.Dumper clone for Python
Author: simon@log4think.com
2011-07-08
"""
#!/bin/env python

import sys
from types import *

rebcabin

In https://github.com/ekmett/lens/wiki/Derivation, we see some types for
composition of compositions: (.).(.), (.).(.).(.), and so on. Let's prove that
the type of (.).(.) is (a -> b) -> (c -> d -> a) -> c -> d -> b, as stated in
the site. We'll stick with prefix notation, meaning that we want the type of
(.)(.)(.).

Recall the type of composition. This should be intuitive:

  (.) :: (b -> c) -> (a -> b) -> a -> c                                      [1]

rebcabin

-- See [McBride & Paterson, Applicative Programming with Effects]
-- (www.staff.city.ac.uk/~ross/papers/Applicative.html)

{-
Analysis of types:

Following, from the paper, the definition of `sequence` in terms of `ap` from
`Control.Monad`:

  sequence :: [IO a] -> IO [a]

rebcabin

#!/usr/bin/env python

import gym
import numpy as np
import tensorflow as tf


class PolicyGradientAgent(object):

    def __init__(self, hparams, sess):

rebcabin

$x = \sqrt{y}$

rebcabin

import hypothesis.strategies as s
from support.UnitRegistry import units, Q
from pint import UnitRegistry
from pint.errors import UndefinedUnitError
from pprint import PrettyPrinter
pp = PrettyPrinter(indent=2)


def _in_unit_registry(u: str, ureg: UnitRegistry) -> bool:
    try:

rebcabin

GPL3 LICENSE SYNOPSIS

TL;DR* Here's what the license entails:

1. Anyone can copy, modify and distribute this software.
2. You have to include the license and copyright notice with each and every distribution.
3. You can use this software privately.
4. You can use this software for commercial purposes.
5. If you dare build your business solely from this code, you risk open-sourcing the whole code base.

rebcabin

(* Load this file into a wolframscript session with << "practice.wl",
   then call getRandomCardWords[] repeatedly until tired. Write out
   the resulting words in Gregg, then check against the cited page
   number and first line number in the book. *)

ClearAll[header];
header=
{   0 , "cd" , "pg" , "chp" , "sec" , "num" , "a"       , "b"                   , "c"                         , "d"                   , "e"                , "f"                        };

ClearAll[cards];

rebcabin

import torch
import toolz


def kalman (b,  # # rows, cols, in Z; # rows in z
            n,  # # rows, cols, in P; # rows in x
            Z,  # b x b observation covariance
            x,  # n x 1, current state
            P,  # n x n, current covariance
            A,  # b x n, current observation partials