Develop

dissmodel/core/model.py

@@ -86,8 +86,7 @@ def setup(self, **kwargs: Any) -> None:
         arguments not consumed by ``__init__``.
 
         Override in subclasses to perform one-time setup such as building
-        neighborhoods or initializing visualization state. Mirrors the
-        salabim ``Component.setup()`` contract.
+        neighborhoods or initializing visualization state.
         """
         pass
 

docs/api/core.md

@@ -1,7 +1,6 @@
 # Core
 
-The `dissmodel.core` module provides the simulation clock and execution lifecycle,
-built on top of [Salabim](https://www.salabim.org/)'s discrete event engine.
+The `dissmodel.core` module provides the simulation clock and execution lifecycle.
 
 All models and visualization components must be instantiated **after** the
 `Environment` — they register themselves automatically on creation.

docs/api/geo/index.md

@@ -16,7 +16,7 @@ from dissmodel.geo.raster.raster_grid import raster_grid
 ## Dual-substrate design
 
 The module provides two independent spatial substrates. Both share the same
-salabim `Environment` and clock — a vector model and a raster model can run
+`Environment` and clock — a vector model and a raster model can run
 side by side in the same `env.run()`.
 
 | | Vector | Raster |

docs/index.md

@@ -5,7 +5,7 @@
 
 DisSModel is a modular, production-ready Python framework for spatially explicit dynamic modeling. Developed by the [LambdaGeo](https://github.com/DisSModel) group at the Federal University of Maranhão (UFMA), it provides a unified environment for building **Cellular Automata (CA)** and **System Dynamics (SysDyn)** models.
 
-Inspired by the [TerraME](http://www.terrame.org/) framework, DisSModel brings the same modeling expressiveness to Python — replacing the TerraLib/Lua stack with GeoPandas, NumPy, and Salabim, while remaining fully interoperable with the broader Python data science ecosystem.
+Inspired by the [TerraME](http://www.terrame.org/) framework, DisSModel brings the same modeling expressiveness to Python — replacing the TerraLib/Lua stack with GeoPandas and NumPy, while remaining fully interoperable with the broader Python data science ecosystem.
 
 ```bash
 pip install dissmodel
@@ -19,7 +19,7 @@ DisSModel is organized into five core modules designed for reproducibility and s
 
 | Module | Description |
 |:---|:---|
-| `dissmodel.core` | Simulation clock and execution lifecycle powered by [Salabim](https://www.salabim.org/). |
+| `dissmodel.core` | Simulation clock and execution lifecycle. |
 | `dissmodel.geo` | Spatial substrates — Dual-design (Vector + Raster) for flexible modeling. |
 | `dissmodel.executor` | **(New)** Standardized execution layer for CLI and Remote Workers. |
 | `dissmodel.io` | **(New)** Storage-agnostic I/O handling local files and MinIO/S3. |

tests/raster/test_raster_map.py

@@ -3,7 +3,7 @@
 =================================
 Tests for RasterMap — raster visualization component.
 
-RasterMap is a salabim Component that renders at each step.
+RasterMap renders at each step.
 Tests cover: instantiation, mode detection (categorical/continuous),
 headless rendering (no display required), and environment integration.
 """

tests/raster/test_raster_model.py

@@ -119,7 +119,7 @@ def test_env_now_accessible(self, backend_3x3):
 
 
 # ══════════════════════════════════════════════════════════════════════════════
-# Multiple models — salabim environment
+# Multiple models — environment integration
 # ══════════════════════════════════════════════════════════════════════════════
 
 class TestEnvironmentIntegration:

tests/vector/test_cellular_automaton.py

@@ -41,8 +41,8 @@ def default_env():
     """
     Create a default Environment for every test.
 
-    Required by salabim — any Model instantiation fails without an active
-    Environment. Tests that need a different end_time create their own
+    An active environment must exist before instantiating any Model.
+    Tests that need a different end_time create their own
     Environment locally, which replaces this default.
     """
     return Environment(start_time=1, end_time=1)

tests/vector/test_spatial_model.py

@@ -221,7 +221,7 @@ def test_execute_uses_past_values(self, grid_3x3):
 
 
 # ══════════════════════════════════════════════════════════════════════════════
-# SpatialModel in salabim environment
+# Environment integration
 # ══════════════════════════════════════════════════════════════════════════════
 
 class TestEnvironmentIntegration: