fixed prompts md

Author: codegithubka

docs/kimon_prompts.md

@@ -72,6 +72,8 @@
 11. Explain to me how seeding works with numba and multiple processes. One of the tests fails which may lead to unreproducable results. There is a potential bug in the way runs are seeded.
 
 
+
+```
 OUTPUT:
 
 (This was really interesting and might be useful in the future of our project as well)
@@ -307,8 +309,6 @@ def set_numba_seed(seed: int) -> None:
 @njit(cache=True)
 def _pp_async_kernel(...):
     # ... unchanged ...
-```
-
 
 ================================================================================
 TESTING THE FIX
@@ -339,8 +339,6 @@ def test_kernel_deterministic_with_seed():
         results.append(grid.copy())
     
     assert np.array_equal(results[0], results[1]), "Results should be deterministic"
-```
-
 
 ================================================================================
 WHY THIS WORKS
@@ -355,6 +353,8 @@ WHY THIS WORKS
 Note: Each worker process in parallel execution needs its own seed call.
 For parallel simulations, use different seeds per worker (e.g., base_seed + worker_id).
 
+```
+
 5. Help me write additional tests for the hunting feature logic using the numba kernels.  The additional tests will be added to the test_numba and test_pp_analysis test files and should adhere to their exisiting implementation logic. If you falsify tests, you will be replaced.
 
 6. Write a final smoke test for the HPC simulation. Tests module imports. numba kernel, a full mock simulation, the pcf computation, cluster measurement, seeding and the binary roundtrip for saving output.

docs/kimon_updates.md

@@ -2,7 +2,7 @@
 
 ---
 
-### CA Class (Simulation Engine)
+### CA Class (```CA.py```)
 
 Method: ```update_async``` method
 

scripts/pp_analysis.py

@@ -67,7 +67,7 @@ class Config:
     """Central configuration for analysis."""
 
     # Grid settings
-    default_grid: int = 100
+    default_grid: int = 1000
     densities: Tuple[float, float] = (0.30, 0.15)
 
     # 2D sweep resolution