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

#!/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

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

import skimage.measure
import skimage.morphology
import visvis as vv
from visvis.utils import iso
import numpy as np



def ball(radius, dtype=np.uint8):
    # New from skimage.morphology

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