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Fluid simulation · gpt-oss-20b
Create a real-time fluid simulation on a full-screen canvas where dragging the mouse pushes swirling colored dye through the fluid.
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transcript · 7 messages
assistant
thinking
We need to create a single-file index.html with a canvas that does real-time fluid simulation. Requirements: full-screen canvas, dragging mouse pushes swirling colored dye through fluid. No external resources.
We'll need to implement fluid simulation: likely a simplified Navier-Stokes solver, e.g., from "Stable Fluids" by Jos Stam, common to use diffusion, advection, projection steps.
Simplify: We'll do a 128x128 grid, with velocity field and dye. Then interpolate to canvas pixel resolution.
Implement user interaction: mouse drag computing a force vector at the mouse position, add to velocity field. Also add dye color at that point.
Use an animation loop with requestAnimationFrame.
Will need to set up script, style for canvas width/height 100% of viewport, no margin, no scroll. Use canvas 100% width/height, set size on load.
We need colors swirling: we add dye with a random hue maybe when dragging, or may use a fixed color (like red). But swirling implies fluid will mix colors.
Implementation details: Use arrays for velocityX, velocityY, dye (RGBA or single channel). Use periodic boundary or simple reflective. For simplicity, use low resolution simulation.
Pseudo code from stable fluid.
We need to create arrays of geometry: NxN grid. e.g., N=128. We’ll use 1D arrays of size N*N.
We can define functions:
void setForce(x,y, f): scale? add to velocity.
void advect(b, d0, d1): advect
Simplify: we can implement diffusion, advect, project.
But maybe simpler: use particle-based? But swirling dye swirling: perhaps a Smoothed Particle Hydrodynamics? But more complex.
Better to implement the stable fluid algorithm.
Given limited time, we can implement standard stable fluid algorithm: see many tutorials.
Implementation steps:
- initialize arrays: u, v, u_prev, v_prev, dens, dens_prev.
- For each time step dt, update velocity: add boundary, add forcing, diffusion, advect, project.
- Update dye: add boundary, diffusion, advect.
- Compute velocities using projection (divergence free).
Interaction: on mouse move while dragging, add forcing to velocity arrays at nearest grid cell, and add dye to dens_prev: set at that grid location.
We'll need to map mouse coordinates to grid coordinates: using canvas size.
I'll write the code.
Need to fill <style>:
canvas { display:block; width:100vw; height:100vh; margin:0; padding:0; overflow:hidden; } body{margin:0; }
<canvas id="canvas"></canvas>
JS: create arrays; animation loop with step.
I will use N=100 to keep it faster.
Initialize arrays with new Float32Array(N*N). For boundaries: we implement set_bnd(b, x).
Define functions:
set_bnd(b, x): b=1 for u components, b=2 for v.
Add force: at cell (i,j), add to u_prev and v_prev by adding force scaled.
We need friction/damping: yep.
Simplify: forced addition to u_prev.
Add dye: dens_prev[i+j*N] = color code: we have dens as single channel or maybe RGB per cell? We can have three arrays for R,G,B.
Let's use 3 densities: densR, densG, densB.
Implement inflow: dens_prevR[i] = hueValue; etc.
But we want swirling dye: adding color each drag.
We could use random hue: e.g., generating random RGB with full saturation. On drag, generate random color, add to dens_prev arrays at location.
But we want dye swirling colored? Yes.
Ok implement color arrays.
Simplify: dens arrays.
Algorithm:
function lin_solve(b, x, x0, a, c) loops all cells, etc.
function diffuse(b, x, x0, diff, dt): a=dt*diff*N*N; then lin_solve.
Then advection for pushing.
Then add source: dens += dt * dens_prev.
For velocities: same.
Implementation as typical.
Will be lengthy but doable.
Edge conditions: set_bnd ensures reflecting velocity at walls.
Now mapping mouse: on mousedown, set dragging flag true. On mousemove, if dragging, add forcing:
- Convert pixel to grid: i = floor(x/(canvas.width/N)), j = floor(y/(canvas.height/N)).
- Add to u_prev[i,j] += forceVecX * dt, v_prev[i,j] += forceVecY * dt, and dens_prevR[i,j] etc with color.
Implement torque: swirling: maybe rotating velocity based on radial vector? But we can emulate swirling by adding vorticity: adding torque to fluid around mouse. But simpler: just push; swirling emerges from fluid diffusion.
Better: we can compute a swirl: add to u_prev and v_prev a vector that circulates with radius: u = -dy, v = dx scaled by radius factor.
Implement swirling: at each cell near mouse, compute offset dx, dy from center.
Define magnitude: scale by some radius weight.
Implement.
Ok.
Let's code. We'll create index.html file.
We'll use automatically include JavaScript inside script tag.
Let's proceed.
→ write
index.html (6819 bytes)toolResult
Successfully wrote 6819 bytes to index.html
assistant
thinking
We wrote an index.html. Let's ensure size. Might be huge? But fine.
Check potential bugs: We need to reset u_prev and v_prev to zero after adding forces. The code currently uses add_source already adds them each frame. But we need to zero u_prev after each step. In vel_step we have [u_prev,u] etc. Wait we used swap patterns incorrectly. In standard algorithm we do u_prev array to hold previous values but after each step we should zero u_prev. The code uses adding source before diffusion and advect then uses swap to zero.
In vel_step: we add source to u, u_prev. Then we [u_prev,u] = [u, u_prev]; diffuse(1,u,u_prev,...). That means we set u_prev to old u, then diffuse uses u and u_prev. After diffuse, we set [u_prev,u] = [u,u_prev]; advect(1,u,u_prev,u_prev,v_prev,...). So after advect, u_prev contains old advected u. Then later we project.
At end, u_prev still contains previous advected velocities. Not zeroed. But next frame we will add source to u_prev, but if not zeroed, prior values accumulate incorrectly. But typical algorithm uses clear_aftersource. But in many implementations inside step they do u_prev, u swapped and after each step they set u_prev to zeros.
Simpler: after each step, set u_prev to zero. Could do in vel_step: after project, set u_prev.fill(0) etc.
Similarly for v_prev and density prev arrays. We need to zero them.
Also the swirl loop may be expensive.
But we may not need swirling pattern from code, adding swirl through adding to u_prev at each frame might accumulate; but fine.
Also we must ensure render loops efficient: We use nested loops inside loops; may be heavy but okay for N=120.
Also cellW and cellH computed float; but used floor again inside loops; code uses loops for px cellW and py cellH. But cellW may not be integer; using multiplication leads to fractional. We floor i*cellW each time; but performance fine.
But we need to ensure width and height maybe not multiples of N, then we still draw but some fractional parts.
Also imageData: we update imageData each frame but we might not use .data index beyond width*height*4. As we compute loops for each cell; but inside we compute pxIdx = ((y0+py)*width + (x0+px))*4; ensures within width and height. For last cells, y0+py may equal height-1? Since cellH floor may produce less; ok.
Potential issues: dominating inner loops cause slowdown. We may convert grid size to 80 for speed. But fine.
Now we didn't zero dens_prev arrays; but dens_step does add_source(dens,dens_prev,dt). After that we diffuse and advect; but dens_prev still contains dye and not cleared resulting accumulation each frame. We need to zero them after step. So implement at end of dens_step: dens_prev.fill(0). Could modify functions. Easiest: after dens_step calls, we just zero them.
At update, after dens_step(densR,dens_prevR...), we can add dens_prevR.fill(0). Do similarly for G and B, and for u_prev,v_prev? In vel_step should zero u_prev, v_prev at end.
Implement updates in update().
Also we see add_source currently adds dt*s to x. This means when we add forcing, we set u_prev at each fire and call vel_step, which will multiply dt again earlier. Actually we call add_source before diffusion and after we call too, but u_prev gets dt*s each frame.
But after we clear u_prev, we should set s zeros.
But we add source each frame? Actually after we clear u_prev, we keep previous values. No.
Simplify: we create functions to add forcing each time we drag. Instead of using u_prev array as source, we can set past values if we treat u_prev as previous velocity. But our approach is to treat u_prev as source each frame, which is common: velocity step uses u_prev as source floats, then after use we zero it.
Thus we need to zero u_prev after each step. So modify update.
Let's modify update:
```
update() {
vel_step(u,v,u_prev,v_prev,dt);
u_prev.fill(0); v_prev.fill(0);
dens_step(densR,dens_prevR,u,v,dt);
dens_prevR.fill(0);
dens_step(densG,dens_prevG,u,v,dt);
dens_prevG.fill(0);
dens_step(densB,dens_prevB,u,v,dt);
dens_prevB.fill(0);
render();
requestAnimationFrame(update);
}
```
Also in handleDrag, we set dens_prevR[stripe] etc with color value. This will add to source at next step. After step we zero dens_prev arrays.
Everything good.
Also earlier, we didn't clear u_prev and v_prev before simulation at start? They are defaults zeros.
Ok.
We need to modify code accordingly. Let's edit file:
Use edit: replace the update function body.→ edit<|channel|>commentary
{"path":"index.html","edits":[{"oldText":"function update(){\n vel_step(u,v,u_prev,v_prev,dt);\n dens_step(densR,dens_prevR,u,v,dt);\n detoolResult
Tool edit<|channel|>commentary not found
assistant
thinking
The tool invocation is wrong; we need to use correct function call structure. It should be: ``` to=functions.edit<|channel|>commentary json ... ``` The key "commentary" is inside the arguments; correct. Let's correct.
→ edit
{"path":"index.html","edits":[{"oldText":"function update(){\n vel_step(u,v,u_prev,v_prev,dt);\n dens_step(densR,dens_prevR,u,v,dt);\n detoolResult
Successfully replaced 1 block(s) in index.html.
assistant
thinking
Now we also need to zero dens_prev arrays after each step, we did.
But we didn't zero dens_prev in dens_step. Now zero after each step.
Also ensure we hold dens_prev arrays for each color: each step resets.
Now check swirl logic: It adds swirling velocity to u_prev and v_prev each frame but u_prev will be zeroed after step, so swirl only applies once per drag. That's fine.
Also the handleDrag adds forcing again each frame drag. We use difference in position; we add force based on delta movement. Works. And we call u_prev and v_prev modifications and density.
Now confirm the code compiles but we didn't import/define "add_source" for v. but we used add_source(u,u_prev,dt). That will add u_prev to u. And later we zero u_prev, but we added earlier write u_prev after we added source; good.
Now we need to ensure dens_step uses dens_prevR. That's correct.
Now check variable names: In vel_step we call add_source(u,u_prev,dt); add_source(v,v_prev,dt); diffuse etc. In dens_step we call add_source(dens,dens_prev,dt). Yes.
Now we need to check that we declared dens_prev arrays earlier. Yes.
Potential bug: In advect we use u_prev and v_prev but in first advect we pass u_prev and v_prev that contain same arrays; but we had swapped them earlier? No, in vel_step we did:
```
[ u_prev, u] = [u, u_prev];
diffuse(...);
[ u_prev, u] = [u, u_prev];
advect(...);
```
Thus we can use u_prev as old velocity. Good.
Now need to ensure set_bnd using proper types. Fine.
One more: In render we use cellW and cellH floats. In loops we use for(px=0;px<cellW;px++). But cellW is float, so px<cellW will cast to <= floor. If cellW=6.5, loop runs 0..6; that is 7 iterations (0-6). 7>6.5? but px<cellW ensures 6<6.5 true, 7<6.5 false. That effectively uses floor+. ok.
Now we need to ensure loops for i and j inside cell loops produce correct mapping. Good.
Now we need to ensure we mapped dens arrays properly: densR, etc range between 0..1.
When adding color from HSV to RGB we produce r,g,b in [0..1] because we added m. That is good.
Now we should test.
But we can't run JS here but we can approximate.
Also we must open index.html path to read to confirm.
Let's read like last part to ensure no errors.
{"path":"index.html","offset":1500,"limit":200}
TAKE IT TO CODE
A single self-contained HTML file — copy it and open in any browser, or reuse the prompt with your own pi-agent run.
RUN
modelgpt-oss-20b
vendorOpenAI
harnesspi-agent
generated2026-07-22
EVALUATION
★★★★★ 1/5 blank
Entirely black screen across all frames; no fluid simulation or dye response to any input.
off-prompt
Vision grade · anthropic/claude-sonnet-5
MEASUREMENTS
Raw readings from the capture, not a verdict — the grade above is the only judgement. Percentages are how much of the screen changed; the measure under-reports sparse motion on a dark background.
idle motion0.0%
on click0.0%
on drag0.0%
on wheel0.0%
on enter + space0.0%
on arrow keys0.0%
on w/a/s/d0.0%
frame spread0 / 255
console errors0
js errors none
METRICS
runtime137.8s
tokens in20k
tokens out6.1k
cached0
cost / run$0.0014