Dev

.gitattributes

@@ -1,2 +1 @@
-example/dem.tif filter=lfs diff=lfs merge=lfs -text
 example/veg.tif filter=lfs diff=lfs merge=lfs -text

docs/getting-started.md

@@ -37,7 +37,7 @@ extras from the install command.
 ## First Simulation
 
 The repository ships with small GeoTIFF datasets and configuration files under
-`example/`. Run a deterministic simulation in GeoTIFF mode with:
+`example/`. Run a simulation in GeoTIFF mode with:
 
 ```bash
 uv run propagator \

docs/index.md

@@ -5,7 +5,7 @@
     An operational cellular-automata wildfire simulator developed by
     <a href="https://www.cimafoundation.org" target="_blank" rel="noopener">CIMA Research Foundation</a>.
     PROPAGATOR couples a Numba-powered propagation core with reusable I/O pipelines
-    and a configurable CLI for deterministic or ensemble fire forecasting.
+    and a configurable CLI for fire forecasting.
   </p>
   <div class="hero__actions">
     <a class="md-button md-button--primary" href="getting-started/">Get started</a>

pyproject.toml

@@ -13,26 +13,23 @@ readme = "README.md"
 
 
 requires-python = ">=3.11"
-dependencies = [
-    "numba==0.61.2",
-    "scipy>=1.16.1",
-]
+dependencies = ["numba==0.62.1", "scipy>=1.16.1"]
 
 [project.optional-dependencies]
 cli = [
     "angles>=2.0",
     "fiona>=1.10.1",
     "pyproj>=3.7.2",
     "rasterio>=1.4.3",
-    "shapely>=2.1.1",
+    "shapely>=2.1.2",
     "utm>=0.8.1",
     "affine>=2.4.0",
     "geopandas>=1.1.1",
     # cli specific
-    "rich>=14.1.0",
-    "pydantic>=2.11.7",
-    "pydantic-settings>=2.10.1",
-    "pyyaml>=6.0.2",
+    "rich>=14.2.0",
+    "pydantic>=2.12.3",
+    "pydantic-settings>=2.11.0",
+    "pyyaml>=6.0.3",
 ]
 
 io = [
@@ -48,24 +45,24 @@ io = [
 
 [dependency-groups]
 dev = [
-    "ipykernel>=6.30.1",
-    "matplotlib>=3.10.6",
-    "ruff>=0.13.0",
+    "ipykernel>=7.1.0",
+    "matplotlib>=3.10.7",
+    "ruff>=0.14.2",
     "pytest>=8.4.2",
     # Docs
     "mkdocs>=1.6.0",
-    "mkdocs-material>=9.6.19",
-    "mkdocstrings[python]>=0.30.0",
+    "mkdocs-material>=9.6.22",
+    "mkdocstrings[python]>=0.30.1",
     "mkdocs-gen-files>=0.5.0",
     "mkdocs-literate-nav>=0.6.1",
     "mike>=2.1.3",
     "pyinstrument>=5.1.1",
-    "ipython>=9.5.0",
-    "notebook>=7.4.5",
-    "pylint>=3.3.8",
+    "ipython>=9.6.0",
+    "notebook>=7.4.7",
+    "pylint>=4.0.2",
     "pre-commit>=4.3.0",
     "types-shapely>=2.1.0.20250917",
-    "scipy-stubs[scipy]>=1.16.1.1",
+    "scipy-stubs[scipy]>=1.16.2.4",
     "types-pyyaml>=6.0.12.20250915",
     "types-geopandas>=1.1.1.20250829",
 ]

src/propagator/core/numba/functions.py

@@ -122,7 +122,7 @@ def get_p_moisture_fn(moist_model_code: MoistureModel) -> Any:
     raise ValueError(f"Unknown moist_model_code: {moist_model_code!r}")
 
 
-@jit(cache=True)
+@jit(cache=False)
 def p_time_rothermel(
     v0: float,
     dh: float,
@@ -193,7 +193,7 @@ def p_time_rothermel(
     return time_seconds, v_wh
 
 
-@jit(cache=True)
+@jit(cache=False)
 def p_time_wang(
     v0: float,
     dh: float,
@@ -262,7 +262,7 @@ def p_time_wang(
     return time_seconds, v_wh
 
 
-@jit(cache=True)
+@jit(cache=False)
 def p_time_standard(
     v0: float,
     dh: float,
@@ -391,7 +391,7 @@ def w_h_effect_on_probability(
     return wh
 
 
-@jit(cache=True)
+@jit(cache=False)
 def p_moisture_trucchia(
     moist: float,
 ) -> float:
@@ -424,7 +424,7 @@ def p_moisture_trucchia(
     return p_moist
 
 
-@jit(cache=True)
+@jit(cache=False)
 def p_moisture_baghino(
     moist: float,
 ) -> float:

src/propagator/core/numba/propagation.py

@@ -93,7 +93,7 @@ def fire_spotting(
     return ember_distance, ember_landing_time_sec
 
 
-@jit(cache=True, nopython=True, fastmath=True)
+@jit(cache=False, nopython=True, fastmath=True)
 def compute_spotting(
     row: int,
     col: int,
@@ -274,7 +274,7 @@ def calculate_fire_behavior(
     return transition_time, ros_value, fireline_intensity_value
 
 
-@jit(cache=True, parallel=False, nopython=True, fastmath=True)
+@jit(cache=False, parallel=False, nopython=True, fastmath=True)
 def single_cell_updates(
     row: int,
     col: int,
@@ -415,7 +415,7 @@ def single_cell_updates(
     return fire_spread_updates
 
 
-@jit(cache=True, parallel=False, nopython=True, fastmath=True)
+@jit(cache=False, parallel=False, nopython=True, fastmath=True)
 def next_updates_fn(
     rows: npt.NDArray[np.integer],
     cols: npt.NDArray[np.integer],