Architecture &

import rhinoscriptsyntax as rs
import random as r
def CullDuplicates(seq, idfun=None):
# order preserving
if idfun is None:
def idfun(x): return x
seen = {}
result = []
for item in seq:
marker = idfun(item)
if marker in seen: continue
seen[marker] = 1
result.append(item)
return result
class wordParticle():
def __init__(self, COORD, WORD, PARTOFSPEECH, RADIUS, FLOCKFACTOR):
self.pos = COORD
self.text = WORD
self.type = PARTOFSPEECH
self.radius = RADIUS
self.factor = FLOCKFACTOR
#self.id = rs.AddText (self.text,self.pos)
self.id = rs.AddTextDot (self.text,self.pos)
#self.pt = rs.AddPoint(self.pos)
self.connectionIDs = []
self.connectionIndexes = []
self.vec = [0,0,0]
rs.AddLayer(self.type)
rs.ObjectLayer(self.id,self.type)
def makeSense(self, myWords):
localfactor = 1
for i in range(len(myWords)):
word = myWords[i]
if word.text!=self.text:
distance = rs.Distance(self.pos, word.pos)
if distance 0:
if self.type!=word.type:
#########################################
#ATTRACTION
if self.type == "Noun" and word.type == "Verb":
localfactor = 1
if self.type == "Noun" and word.type == "Adverb":
localfactor = 3
if self.type == "Noun" and word.type == "Adjective":
localfactor = 0.1
if self.type == "Noun" and word.type == "Pronoun":
localfactor = 0.1
if self.type == "Noun" and word.type == "Conjunction":
localfactor = 0.1
if self.type == "Noun" and word.type == "Interjection":
localfactor = 0.1
if self.type == "Noun" and word.type == "xxx":
localfactor = 0.1
if self.type == "Noun" and word.type == "Article":
localfactor = 0.1
if self.type == "Noun" and word.type == "Preposition":
localfactor = 0.1
if self.type == "Adverb" and word.type == "Adjective":
The script, written in python and shown here in its entirety, worked by pulling words from extensive lists and
attracting them to each other based on the frequency with which different parts of speech naturally occurred
adjacent to each other.
CODE - 074