nt to multiply the number of items in the list A, so at the end I will end up with the same number of elements in each lists.
e.g. (for branch 1 in list A I want to have two times the same curve, and the same for the branch 2 and so on )
List A (Data with 88 branches)
{0} N=1
{1} N=1
{2} N=1
{3} N=1...
List B (Data with 88 branches)
{0} N=1
{1} N=2
{2} N=2
{3} N=1...
NEW List A (Data with 88 branches)
{0} N=1
{1} N=2
{2} N=2
{3} N=1...
Any suggestions about how to do this?
Thank you,
Martha
…
current time (if the pedal is on and a key is depressed the value is halved, if the pedal is off the value is 0).
The rest of the definition is just to do something with this data. It uses these values to display each note as different floating colors that move with the wind (using Kangaroo). The strength of the wind changes as the music dynamics change.
If there are several devices connected you might have to change the line device.Open(0) to another number.
(to be displayed with a black background)…
try to do it, the DIVA annual daylight component doesn't want to run.
does anyone know how to add discrete variables to Galapagos?
ex. 0 or 1 (closed or opened), or for specific types of windows (single or double)
please check attached definition. hope this could be done.
thank you…
points within the bounds of the site boundary and use each location as an attractor point controlling a variable at each point in the grid (radius of a circle/height of a cube/colour based on a gradient etc.).This would be based on proximity to the attractor points with the effect of each attractor point essentially scaled by the percentage associated with it. For example a location with 88% visitor rates would have a more dramatic effect than a location with 26% visitor rates.
I've had a bit of a play around but can't seem to get beyond the point of what is shown in basic point attractor tutorials online. I'm definitely a novice.
Here's how I figured it would be done:
1) Create a grid of source points within a boundary curve.
2) Select 18 pre-defined attractor points.
2) Measure the distance between the source points and the attractor points.
3) Invert this data so that variables increase with proximity rather than decrease.
4) Give each of the attractor points a strength value from 1-100% based on the visitor rates.
5) Use the scaled data to control a variable at each of the source points.
6) Create some way to control the drop-off rate of the effect from each point.
It is at step 3 that I get completely lost.
I hope my description is clear. Any help would be greatly appreciated,
Adam
…
of 400 interlocked rings in a 20 X 20 grid.
V1 - A single 'suLoop' component doing 400 'SUnion' operations (20 X 20): 11.6 minutes
V2 - Two phases: 5 X 10 in phase one and 2 X 4 in phase 2, 58 'SUnions' total: ~88 seconds combined
V3 - Two phases: 4 X 5 in phase one and 4 X 5 in phase 2, 40 'SUnions' total: ~104 seconds combined
Again, these Profiler benchmarks don't reflect the whole picture, and might be affected by other things I was doing on the laptop while the code was running.…
Added by Joseph Oster at 12:29pm on March 23, 2017