michaelosthege

import imageio
import os, sys

class TargetFormat(object):
    GIF = ".gif"
    MP4 = ".mp4"
    AVI = ".avi"

def convertFile(inputpath, targetFormat):
    """Reference: http://imageio.readthedocs.io/en/latest/examples.html#convert-a-movie"""

michaelosthege

def weirdimport(*paths):
    import os, sys
    fullpath = os.path.abspath(os.path.join(*paths))
    global project
    sys.path.append(os.path.dirname(fullpath))
    try:
        project = __import__(os.path.basename(fullpath))
        sys.modules['project'] = project
    finally:
        del sys.path[-1]

michaelosthege

public class BroadcastReceiver : IDisposable
{
    //OnMessageReceived
    public delegate void AddOnMessageReceivedDelegate(string message, IPEndPoint remoteEndpoint);
    public event AddOnMessageReceivedDelegate MessageReceived;
    private void OnMessageReceivedEvent(string message, IPEndPoint remoteEndpoint)
    {
        if (MessageReceived != null)
            MessageReceived(message, remoteEndpoint);
    }

michaelosthege

using System.Text;
#if UNITY_EDITOR
using System.Net.Sockets;
using System.Threading;
#else
using Windows.Networking.Sockets;
using Windows.Storage.Streams;
using System.Threading.Tasks;
using System.IO;
using Windows.Networking;

michaelosthege

import time

class Measurement(object):
    def __init__(self, name):
        self.name = name
        return

    def __enter__(self):
        self.t_start = time.time()
        return

michaelosthege

import theano 
import theano.tensor as T 
import numpy
import h5py 
import os 
import time


def rungekuttastep(h, y, fprime, *theta):
    k1 = h*fprime(y,*theta)

michaelosthege

import numpy
from matplotlib import pyplot


def interpolate(x_fix, y_fix, x_var):
    x_repeat = numpy.tile(x_var[:,None], (len(x_fix),))
    distances = numpy.abs(x_repeat - x_fix)

    x_indices = numpy.searchsorted(x_fix, x_var)

michaelosthege

michaelosthege

# saving a DataFrame to an Excel spreadsheet
writer = pandas.ExcelWriter(fp_xlsx)
df.to_excel(writer, 'Sheetname')
writer.save()

michaelosthege

"""Sampling parameters of a lorenz attractor.

The forward pass integrates the lorenz attractor ODE system using
tt.scan with a Runge-Kutta integrator.  The predicted high-resolution
timecourse is interpolated down so it can be compared to low-density
observations.
"""
import abc
import numpy
import pymc3