fix: raise constructed-but-discarded exceptions (Closes #785)

src/shapepipe/modules/mask_package/mask.py

@@ -1070,7 +1070,7 @@ def _exec_WW(self, types="HALO"):
                 self._WW_stdout, self._WW_stderr = execute(cmd)
 
         else:
-            ValueError("Types must be in ['HALO','SPIKE','ALL']")
+            raise ValueError("Types must be in ['HALO','SPIKE','ALL']")
 
         if (self._WW_stderr != "") or (self._rm_reg_stderr != ""):
             self._err = True

src/shapepipe/modules/mccd_interp_runner.py

@@ -114,13 +114,13 @@ def mccd_interp_runner(
         inst.process_me(psf_model_dir, psf_model_pattern, f_wcs_path)
 
     elif mode == "VALIDATION":
-        ValueError(
+        raise ValueError(
             "MODE has to be in MULTI-EPOCH or CLASSIC. For validation"
             + " use MCCD validation runner."
         )
 
     else:
-        ValueError("MODE has to be in : [CLASSIC, MULTI-EPOCH]")
+        raise ValueError("MODE has to be in : [CLASSIC, MULTI-EPOCH]")
 
     # No return objects
     return None, None

src/shapepipe/modules/psfex_interp_runner.py

@@ -150,7 +150,7 @@ def psfex_interp_runner(
 
     else:
         # Raise error for invalid run mode
-        ValueError("MODE has to be in : [CLASSIC, MULTI-EPOCH, VALIDATION]")
+        raise ValueError("MODE has to be in : [CLASSIC, MULTI-EPOCH, VALIDATION]")
 
     # No return objects
     return None, None

src/shapepipe/pipeline/file_handler.py

@@ -792,7 +792,7 @@ def _generate_re_pattern(match_pattern):
 
         """
         if not isinstance(match_pattern, str):
-            TypeError("Match pattern must be a string.")
+            raise TypeError("Match pattern must be a string.")
 
         chars = [char for char in match_pattern if not char.isalnum()]
         split_pattern = "|".join(chars).replace(".", r"\.")

src/shapepipe/pipeline/file_io.py

@@ -1389,7 +1389,7 @@ def add_col(
             )
 
         if type(col_data) != np.ndarray:
-            TypeError("col_data must be a numpy.ndarray")
+            raise TypeError("col_data must be a numpy.ndarray")
 
         if hdu_no is None:
             hdu_no = self.hdu_no