Make SimulationStudy.validate private (_validate)

Rename SimulationStudy.validate to _validate to mark it as an internal API, and update all internal calls and the test to use the new name. Also update the justfile comment to reflect the supported Python versions (3.11 to 3.14). No functional behavior changes intended.

Author: JTyler13

justfile

@@ -13,7 +13,7 @@ sync:
 test:
     uv run pytest
 
-# Runs pytest across all supported Python versions (3.10 to 3.13)
+# Runs pytest across all supported Python versions (3.11 to 3.14)
 test_matrix:
     @for ver in 3.11 3.12 3.13 3.14; do \
         echo "\n🚀 ======================================"; \

src/digiqual/core.py

@@ -96,7 +96,7 @@ def add_data(self, df: pd.DataFrame) -> None:
         self.plots = {}
 
     #### Validating self.data ####
-    def validate(self) -> None:
+    def _validate(self) -> None:
         """
         Cleans and validates the raw data stored in `self.data`.
 
@@ -106,7 +106,7 @@ def validate(self) -> None:
         Examples
         --------
         ```python
-        study.validate()
+        study._validate()
         # Output: Running validation...
         # Output: Validation passed. 50 valid rows ready.
         ```
@@ -146,7 +146,7 @@ def diagnose(self) -> pd.DataFrame:
                 print("No data found. Please run add_data() first.")
                 return pd.DataFrame()
 
-            self.validate()
+            self._validate()
 
             if self.clean_data.empty:
                 print("Cannot run diagnostics because validation failed.")
@@ -180,7 +180,7 @@ def refine(self, n_points: int = 10) -> pd.DataFrame:
 
         if self.clean_data.empty:
             print("No clean data available. Running validation...")
-            self.validate()
+            self._validate()
 
             if self.clean_data.empty:
                 return pd.DataFrame()
@@ -296,7 +296,7 @@ def pod(
         """
         # 0. Safety Checks
         if self.clean_data.empty:
-            self.validate()
+            self._validate()
             if self.clean_data.empty:
                 raise ValueError("Cannot run PoD analysis: No valid data available.")
 

tests/test_core.py

@@ -41,7 +41,7 @@ def test_validate_explicit(study, clean_df):
     dirty_row = pd.DataFrame({'Length': [1], 'Angle': [0], 'Signal': [-5]})
     mixed_df = pd.concat([clean_df, dirty_row], ignore_index=True)
     study.add_data(mixed_df)
-    study.validate()
+    study._validate()
     assert len(study.clean_data) == 20
     assert len(study.removed_data) == 1