priv

Author: dweindl

petab/v2/core.py

@@ -134,7 +134,7 @@ class Observable(BaseModel):
 
     @field_validator("id")
     @classmethod
-    def validate_id(cls, v):
+    def _validate_id(cls, v):
         if not v:
             raise ValueError("ID must not be empty.")
         if not is_valid_identifier(v):
@@ -151,14 +151,14 @@ def validate_id(cls, v):
         mode="before",
     )
     @classmethod
-    def convert_nan_to_default(cls, v, info: ValidationInfo):
+    def _convert_nan_to_default(cls, v, info: ValidationInfo):
         if isinstance(v, float) and np.isnan(v):
             return cls.model_fields[info.field_name].default
         return v
 
     @field_validator("formula", "noise_formula", mode="before")
     @classmethod
-    def sympify(cls, v):
+    def _sympify(cls, v):
         if v is None or isinstance(v, sp.Basic):
             return v
         if isinstance(v, float) and np.isnan(v):
@@ -258,7 +258,7 @@ class Change(BaseModel):
 
     @model_validator(mode="before")
     @classmethod
-    def validate_id(cls, data: dict):
+    def _validate_id(cls, data: dict):
         if (
             data.get("operation_type", data.get(C.OPERATION_TYPE))
             != C.OT_NO_CHANGE
@@ -271,7 +271,7 @@ def validate_id(cls, data: dict):
 
     @field_validator("target_value", mode="before")
     @classmethod
-    def sympify(cls, v):
+    def _sympify(cls, v):
         if v is None or isinstance(v, sp.Basic):
             return v
         if isinstance(v, float) and np.isnan(v):
@@ -297,7 +297,7 @@ class ChangeSet(BaseModel):
 
     @field_validator("id")
     @classmethod
-    def validate_id(cls, v):
+    def _validate_id(cls, v):
         if not v:
             raise ValueError("ID must not be empty.")
         if not is_valid_identifier(v):
@@ -394,7 +394,7 @@ class ExperimentPeriod(BaseModel):
 
     @field_validator("condition_id")
     @classmethod
-    def validate_id(cls, condition_id):
+    def _validate_id(cls, condition_id):
         if not condition_id:
             raise ValueError("ID must not be empty.")
         if not is_valid_identifier(condition_id):
@@ -421,7 +421,7 @@ class Experiment(BaseModel):
 
     @field_validator("id")
     @classmethod
-    def validate_id(cls, v):
+    def _validate_id(cls, v):
         if not v:
             raise ValueError("ID must not be empty.")
         if not is_valid_identifier(v):
@@ -531,7 +531,7 @@ def convert_nan_to_none(cls, v, info: ValidationInfo):
 
     @field_validator("observable_id", "experiment_id")
     @classmethod
-    def validate_id(cls, v, info: ValidationInfo):
+    def _validate_id(cls, v, info: ValidationInfo):
         if not v:
             if info.field_name == "experiment_id":
                 return None
@@ -544,7 +544,7 @@ def validate_id(cls, v, info: ValidationInfo):
         "observable_parameters", "noise_parameters", mode="before"
     )
     @classmethod
-    def sympify_list(cls, v):
+    def _sympify_list(cls, v):
         if isinstance(v, float) and np.isnan(v):
             return []
         if isinstance(v, str):
@@ -620,7 +620,7 @@ class Mapping(BaseModel):
         "petab_id",
     )
     @classmethod
-    def validate_id(cls, v):
+    def _validate_id(cls, v):
         if not v:
             raise ValueError("ID must not be empty.")
         if not is_valid_identifier(v):
@@ -702,7 +702,7 @@ class Parameter(BaseModel):
 
     @field_validator("id")
     @classmethod
-    def validate_id(cls, v):
+    def _validate_id(cls, v):
         if not v:
             raise ValueError("ID must not be empty.")
         if not is_valid_identifier(v):
@@ -711,7 +711,7 @@ def validate_id(cls, v):
 
     @field_validator("lb", "ub", "nominal_value")
     @classmethod
-    def convert_nan_to_none(cls, v):
+    def _convert_nan_to_none(cls, v):
         if isinstance(v, float) and np.isnan(v):
             return None
         return v