almarklein

# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) 2014, Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# -----------------------------------------------------------------------------

from __future__ import print_function

import sys
import ctypes

almarklein

# -*- coding: utf-8 -*-
# Copyright (c) 2014, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.

"""
vispy backend for Qt (PySide and PyQt4).
"""

from __future__ import division

almarklein

import itertools
import os
import hashlib

import numpy as np
import vispy
from vispy import app
from vispy import scene
from vispy import gloo

almarklein

c:\Anaconda34>Scripts\conda-build c:\almar\devel\conda-recipes\freeimage
Removing old build environment
Removing old work directory
BUILD START: freeimage-3.17.0-vc10_1
Fetching package metadata: ......
Solving package specifications: .........
The following NEW packages will be INSTALLED:

    pip:        7.1.2-py34_0
    python:     3.4.3-0

almarklein

import numpy as np
from bokeh.plotting import output_notebook, show, figure
from bokeh.models import Plot, CustomJS, TapTool, ColumnDataSource, Line, DataRange1d
output_notebook()

p = figure()
t = np.linspace(0, 5, 100)
l1 = p.line(t, np.sin(t), color='#ff0000', nonselection_color='#888', line_width=5)
l2 = p.line(t, np.sin(t+1), color='#00ff00', nonselection_color='#888', line_width=5)
#l3 = p.line(t, np.sin(t+2), color='#0000ff', nonselection_color='#888', line_width=5)

almarklein

class MouseEvent(Event):
    """ Class describing mouse events.
    
    Input arguments
    ---------------
    source : object
        The visualization object that this event is created from or applies to.
    type : str
       string indicating the event type (e.g. mouse_press, key_release)
    kwds : keyword arguments

almarklein

from skimage.graph.heap import BinaryHeap as BinaryHeap_sk
import time

VALUE_T = nb.float64
REFERENCE_T = nb.int32

@nb.jit # jit is slightly faster, compile time for autojit is ~2s
class BinaryHeap:
    
    @nb.void(nb.int32)

almarklein

#!/usr/bin/env python3
 
"""
Functionality for cleaning up your git repository.
 
This uses commands found on:
https://help.github.com/articles/remove-sensitive-data
 
"""
 

almarklein

class PointSet(np.ndarray):
    """ The PointSet class can be used to represent sets of points or
    vectors, as well as singleton points. The dimensionality of the
    vectors in the pointset can be anything, and the dtype can be any
    of those supported by numpy.
    
    This class inherits from np.ndarray, which makes it very flexible;
    you can threat it as a regular array, and also pass it to functions
    that require a numpy array. The shape of the array is NxD, with N
    the number of points, and D the dimensionality of each point.

almarklein

class Image(np.ndarray):
    
    def __new__(cls, array):
        return array.view(cls)
    
    def __repr__(self):
        n = 'x'.join([str(i) for i in self.shape])
        dtype = self.dtype
        ndim = self.ndim
        if self.shape[-1] in (1,3,4):