SkyWriter

"""
A bare bones examples of optimizing a black-box function (f) using
Natural Evolution Strategies (NES), where the parameter distribution is a 
gaussian of fixed standard deviation.
"""

import numpy as np
np.random.seed(0)

# the function we want to optimize

SkyWriter

package pdfutil;

import org.apache.pdfbox.cos.COSArray;
import org.apache.pdfbox.cos.COSDictionary;
import org.apache.pdfbox.cos.COSName;
import org.apache.pdfbox.cos.COSStream;
import org.apache.pdfbox.pdmodel.PDDocument;
import org.apache.pdfbox.pdmodel.PDDocumentCatalog;
import org.apache.pdfbox.pdmodel.PDPage;
import org.apache.pdfbox.pdmodel.PDResources;

SkyWriter

module Test.Hspec.JSON
    ( shouldBeJson
    ) where

import Control.Monad (when)
import Control.Monad.State (StateT, get, modify, runStateT)
import Control.Monad.Writer (Writer, execWriter, tell)
import Data.ByteString.Lazy (ByteString)
import Data.Function (on)
import Data.Monoid ((<>))

SkyWriter

{-# LANGUAGE Arrows #-}

import Control.Arrow

double :: Int -> Int
double x = x * 2

triple :: Int -> Int
triple x = x * 3

SkyWriter

import datetime
import httplib2
# to see in detail what's going on, uncomment
# httplib2.debuglevel = 4

from apiclient.discovery import build
from oauth2client.client import OAuth2Credentials, OAuth2WebServerFlow


if __name__ == "__main__":

SkyWriter

cuke() {
        clear
        cucumber --drb --tags @dev features/
        if [ $? -eq 0 ]; then
                echo ""
                echo ""
                echo "@dev test are fine. Running all the tests."
                echo ""
                cucumber --drb features/
                if [ $? -eq 0 ]; then