collected all exceptions to raise single exception, bump version to 0…

….1.7ba

setup.py

@@ -2,7 +2,7 @@
 
 setup(
     name="kfre",
-    version="0.1.7b",
+    version="0.1.7ba",
     author="Leonid Shpaner",
     author_email="lshpaner@ucla.edu",
     description="A Python library for estimating kidney failure risk using the KFRE model developed by Tangri et al.",

src/kfre/main.py

@@ -194,29 +194,34 @@ def kfre_person(
         Returns:
         - float: The computed risk of developing CKD.
         """
+        errors = []
+
         if age is None:
-            raise ValueError("Must supply a value for age.")
+            errors.append("Must supply a value for age.")
 
         if is_male is None:
-            raise ValueError("Must specify sex using True or False for is_male.")
+            errors.append("Must specify sex using True or False for is_male.")
 
         if eGFR is None:
-            raise ValueError("Must supply a value for eGFR.")
+            errors.append("Must supply a value for eGFR.")
 
         if uACR is None:
-            raise ValueError("Must supply a value for uACR.")
+            errors.append("Must supply a value for uACR.")
 
         if years not in [2, 5]:
-            raise ValueError("Value must be 2 or 5 for 2-year risk or 5-year risk.")
+            errors.append("Value must be 2 or 5 for 2-year risk or 5-year risk.")
 
         if dm is not None and dm not in [0, 1, True, False]:
-            raise ValueError("The dm parameter must be either 0, 1, True, or False.")
+            errors.append("The dm parameter must be either 0, 1, True, or False.")
 
         if htn is not None and htn not in [0, 1, True, False]:
-            raise ValueError("The htn parameter must be either 0, 1, True, or False.")
+            errors.append("The htn parameter must be either 0, 1, True, or False.")
 
         if is_north_american is None:
-            raise ValueError("Must specify True or False for is_north_american.")
+            errors.append("Must specify True or False for is_north_american.")
+
+        if errors:
+            raise ValueError(" ; ".join(errors))
 
         # Use is_male directly, since it's already a boolean
         # Call the risk prediction function with the parameters