Mercurial > traipse
view orpg/mapper/map_utils.py @ 19:321bcf1ec72f ornery-orc
Traipse 'OpenRPG' {090827-00}
Traipse is a distribution of OpenRPG that is designed to be easy to setup and go. Traipse also makes it easy for developers to work on code without fear of sacrifice. 'Ornery-Orc' continues the trend of 'Grumpy' and adds fixes to the code. 'Ornery-Orc''s main goal is to offer more advanced features and enhance the productivity of the user.
Update Summary:
Update Manager is now in version 0.8. While not every button works, users can now browse the different revisions and their different changesets. The code has been refined some with feature from Core added to it. A Crash report is now created if the users software crashes. Update Manager has been moved to the Traipse Suite menu item, and a Debug Console as been added as well.
author | sirebral |
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date | Thu, 27 Aug 2009 01:08:21 -0500 |
parents | 97265586402b |
children |
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""" file: map_utils.py This file contains generic utility functions for use in the openrpg mapping system """ import math """ distance_between() Returns the distance between two points """ def distance_between( x1, y1, x2, y2 ): "Returns the distance between two points" dx = x2 - x1 dy = y2 - y1 return math.sqrt( dx*dx + dy*dy ) """ proximity_test() Tests if 'test_point' (T) is close (within 'threshold' units) to the line segment 'start_point' to 'end_point' (PQ). The closest point (R) to T on the line PQ is given by: R = P + u (Q - P) TR is perpendicular to PQ so: (T - R) dot (Q - P) = 0 Solving these two equations gives the equation for u (see below). If u < 0 or u > 1 then R is not within the line segment and we simply test against point P or Q. """ def proximity_test( start_point, end_point, test_point, threshold ): "Test if a point is close to a line segment" x1,y1 = start_point x2,y2 = end_point xt,yt = test_point x1 = float(x1) x2 = float(x2) y1 = float(y1) y2 = float(y2) xt = float(xt) yt = float(yt) # Coincident points? if x1 == x2 and y1 == y2: d = distance_between(xt, yt, x1, y1) else: dx = x2 - x1 dy = y2 - y1 u = ((xt - x1) * dx + (yt - y1) * dy) / (dx*dx + dy*dy) if u < 0: d = distance_between(xt, yt, x1, y1) elif u > 1: d = distance_between(xt, yt, x2, y2) else: xr = x1 + u * dx yr = y1 + u * dy d = distance_between(xt, yt, xr, yr) return d <= threshold