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Easy grouping plus notes

tb-init-ui-render
Taylor Bockman 5 years ago
parent
commit
2ca39f0fd7
  1. 42
      CONTRIBUTING.md
  2. 1
      README.md
  3. 17
      clusterview/points.py
  4. 22
      tests/test_point_set.py

42
CONTRIBUTING.md

@ -104,3 +104,45 @@ def __hello_module():
We only want to expose the absolute bare minimum number of functions to the consumers of
our modules.
## Overview of Function
In order to understand how things are drawn and maintained there are some classes you need to know.
### Modes
Lambas, partially applied functions, and function passing are used throughout the application to not only improve
readability but also improve modularity of the code. You can see modes in `clusterview/mode.py`. These modes are used
to put the application in a global state for adding, editing, moving, and deleting things.
In order to improve readability `main_window.py`, the main application class module, uses some neat function passing
tricks to determine which modes to use in `clusterview/mode_handlers.py`. The `mode_handlers.py` module is fairly
complicated but defines basically all of the mode handling code used for each mode in the application.
### Point
The `Point` class is the base class for all drawn points. It contains important details for calculating location
in space such as it's containing viewport, it's x and y coordinates in the viewport, it's drawn size, it's color,
and a list of optional attributes.
### PointSet
A `PointSet` is a convenient holder for all points on a screen. It contains methods that simplify adding to, removing,
moving, and deleting points from the canvas. It maintains a constant viewport state, point size, and other useful
attributes so that you do not need to concern yourself with them during use.
### PointManager
The `PointManager` is a global singleton that is shared across the entire application. You can think of the
`PointManager` as the absolute source of truth for the state of points in the application. In addition to maintaining
a global `PointSet`, it also maintains the `save` and `load` configuration features so that they are consistent
each time they are used.
### Grouping Points
Each point can be grouped by color, defined in `clusterview/colors.py` in the global `PointSet`. This way you
do not need to explicitly maintain sets of points representing groups, and can instead call the `groups` function
on the `PointSet` to return to you a dictionary from `color.Color` to `Point` representing each group and their
member points.

1
README.md

@ -40,3 +40,4 @@ python3 clusterview.py
```
To start the software.

17
clusterview/points.py

@ -341,3 +341,20 @@ class PointSet:
for p in self.__points:
if p.hit(x, y):
self.__points.remove(p)
def groups(self):
"""
Returns a map from color to point representing each point's group
membership based on color.
"""
g = {}
for p in self.__points:
if p.color not in g:
# Create the key for the group color since it does
# not exist.
g[p.color] = []
g[p.color].append(p)
return g

22
tests/test_point_set.py

@ -90,3 +90,25 @@ def test_clear_all_selected_points():
unselected += 1
assert unselected == 2
def test_groups():
point_set = PointSet(8, 100, 100)
point_set.add_point(4, 4, Color.GREY)
point_set.add_point(5, 5, Color.GREY)
point_set.add_point(10, 4, Color.BLUE)
point_set.add_point(30, 5, Color.BLUE)
p1 = Point(4, 4, Color.GREY, 8, 100, 100)
p2 = Point(5, 5, Color.GREY, 8, 100, 100)
p3 = Point(10, 4, Color.BLUE, 8, 100, 100)
p4 = Point(30, 5, Color.BLUE, 8, 100, 100)
expected = {
Color.GREY: [p1, p2],
Color.BLUE: [p3, p4]
}
groups = point_set.groups()
assert groups == expected

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