setup vscode to play nice with pixi, add pytest to pixi toml

.devcontainer/devcontainer.json

@@ -12,7 +12,8 @@
     "ms-python.flake8",
     "ms-python.python",
     "ms-python.debugpy",
-    "ms-python.black-formatter"
+    "ms-python.black-formatter",
+    "jjjermiah.pixi-vscode"
   ],
   "postCreateCommand": ".devcontainer/scripts/transfer_local_dev_cache.sh"
 }

.vscode/settings.json

@@ -0,0 +1,3 @@
+{
+    "python.defaultInterpreterPath": "/workspaces/mesa_abm_poc/.pixi/envs/default/bin/python"
+}

pixi.toml

@@ -9,6 +9,7 @@ platforms = ["linux-64"]
 [tasks]
 
 [dependencies]
+pytest = ">=7.4.4,<7.5"
 
 [target.linux-64.dependencies]
 python = "3.11.*"

tests/integration/batch.py

@@ -4,6 +4,7 @@
 import pandas as pd
 import pytest
 
+
 def test_batch_run_basic():
     # Set up minimal test parameters
     test_params = {
@@ -12,7 +13,7 @@ def test_batch_run_basic():
         "export_data": [False],
         "bounds": [TST_JOTR_BOUNDS],
     }
-    
+
     # Run simulation with minimal parameters
     results = batch_run(
         Vegetation,
@@ -23,21 +24,24 @@ def test_batch_run_basic():
         data_collection_period=1,
         display_progress=False,
     )
-    
+
     # Basic validation
     assert isinstance(results, pd.DataFrame)
     assert len(results) > 0
-    
+
     # Check expected columns exist
     expected_columns = {
-        'Run', 'iteration', 'Step', 
-        'management_planting_density',
-        'num_steps', 'export_data'
+        "Run",
+        "iteration",
+        "Step",
+        "management_planting_density",
+        "num_steps",
+        "export_data",
     }
     assert all(col in results.columns for col in expected_columns)
-    
+
     # Verify we got correct number of steps
-    assert results['Step'].max() == 3
-    
+    assert results["Step"].max() == 3
+
     # Verify we got results for both density values
-    assert len(results['management_planting_density'].unique()) == 2
+    assert len(results["management_planting_density"].unique()) == 2