getting stuff from qdelaunay

mostly spent time trying to figure out subprocess (which i though i already understood). I am concerned for what will happen with large datasets.

next steps include:
1) design data struture
2) implement slurping of stdout into this structure
3) drink coke

--HG--
rename : lib/smcqhull.py => lib/smcqdelaunay.py

lib/grid.py

@@ -15,8 +15,8 @@ class grid(object):
   def __str__(self):
     r = ''
     assert( len(self.points) == len(self.q) )
-    for i in xrange(len(self.points)):
-      r += "%r: %0.4f\n" % ( self.points[i], self.q[i] )
+    for c, i in enumerate(zip(self.points, self.q)):
+      r += "%d %r: %0.4f\n" % (c,i[0], i[1])
     return r
 
 class simple_rect_grid(grid):

lib/smcqdelaunay.py

@@ -0,0 +1,17 @@
+#!/usr/bin/python
+
+from subprocess import Popen, PIPE
+from grid import simple_rect_grid
+
+def get_qdelaunay_dump(g):
+  cmd = 'qdelaunay Qt f'
+  p = Popen(cmd.split(), bufsize=1, stdin=PIPE, stdout=PIPE)
+  so, se = p.communicate(g.for_qhull())
+  for i in so.splitlines():
+    yield i
+
+if __name__ == '__main__':
+  g = simple_rect_grid(3,3)
+  print g
+  for i in get_qdelaunay_dump(g):
+    print i

lib/smcqhull.py

@@ -1,4 +0,0 @@
-#!/usr/bin/python
-
-if __name__ == '__main__':
-  print "hello world"