gerryjenkinslb

from __future__ import division  # for running in 2.7+ python
from svg.path import Path, Line, Arc, CubicBezier, QuadraticBezier, parse_path
import turtle

""" demo of using a great python module svg.path by Lennart Regebro see site: https://pypi.org/project/svg.path/
    to draw svg in Tkinter
"""

svgpath = """m 76,232.24998 c 81.57846,-49.53502 158.19366,-20.30271 216,27 61.26714,59.36905 79.86223,123.38417 9,156
-80.84947,31.72743 -125.19991,-53.11474 -118,-91 v 0 """

gerryjenkinslb

# This examples runs only in python 3.+ versions since Tkinter was changed
from svg.path import Path, Line, Arc, CubicBezier, QuadraticBezier, parse_path
from tkinter import Tk, Canvas, Frame, BOTH

""" demo of using a great python module svg.path by 
    Lennart Regebro see site: https://pypi.org/project/svg.path/
    to draw svg in Tkinter
"""

from svg.path import Path, Line, Arc, CubicBezier, QuadraticBezier, parse_path

gerryjenkinslb

from __future__ import division  # we need floating division
from svg.path import Path, Line, Arc, CubicBezier, QuadraticBezier, parse_path
import pygame

""" demo of using a great python module svg.path by Lennart Regebro
    see site: https://pypi.org/project/svg.path/
    to draw svg in pygame
"""

from svg.path import Path, Line, Arc, CubicBezier, QuadraticBezier, parse_path

gerryjenkinslb

Lessons in dynamic attributes for a class using self.__dict__
  From python.org documents:

      object.__dict__ :
        A dictionary or other mapping object
        used to store an object’s (writable) attributes.

Learn to object.__dict__  for:

1. Setting defaults for the classes/object attributes

gerryjenkinslb

import pygame as pg
import math
from pygame.locals import *

"""
thick_aaline(surface, color, point0, point1, width)
  draw a anti-aliased line from point1 to point2 with given width
  
  The algorithms computes the corners (a, b, c, and d)
  that form the borders of the thick line and then draws a filled

gerryjenkinslb

import random
""" Create random events where event probabilities are 
    set by a frequency list
    This shows two functional approaches, the second being more terse
    and then a object oriented approach"""

# functional approach using a closure
# setup: x = event_gen(freq_table)
# get sample:  x() -> sample index
def event_gen(freq_table):

gerryjenkinslb

from bs4 import BeautifulSoup
import re
import requests
import csv
import time
import json

# version 1.1 added handling of youtube.com/channel/
#  to already handling of youtube.com/user based channels

gerryjenkinslb

# Undirected Graph ADT with edge data stored as adj_vertices dict for each Vertex
# The key to each edge is a nomalized tuple of the vertex ids ordered from low to high
# edge id (eid) for v1, v2  is (v1,v2) or (v2,v1) such that the first tuple item is less than second


def edge_id(v1,v2):  # normalize key v1,v2 to tuple (v_low,v_hi)
    return (v1, v2) if v1 <= v2 else (v2, v1)

class Vertex(object):

gerryjenkinslb

""" Graph Data Structure: Adjacency List implementation
    that matches the Abstract Data Type as defined in the eBook
    https://runestone.academy/runestone/static/pythonds/index.html
    and goes with the video course at http://youtube.com/gjenkinslbcc channel
    This code is attributed to the book
    "Problem Solving with Algorithms and Data Structures using Python"
    by the Authors Bradley N. Miller and David Ranum
    under the Creative Commons
    Attribution-NonCommercial-ShareAlike 4.0 International License (CC-BY-NC-SA)
    License link: https://goo.gl/m2m1ww

gerryjenkinslb

""" One Example of how to implement a Adjacency Matrix implementation of a Graph Data Structure
    that matches the Abstract Data Type as defined in the eBook
    https://runestone.academy/runestone/static/pythonds/index.html
    and goes with the video course at http://youtube.com/gjenkinslbcc channel
    """


class Vertex(object):
    """vertex with key and optional data payload"""