fix(mi): handle null genotypes from tandem-genotypes correctly (pt. 2)

davidlougheed · Nov 2, 2023 · 0ba21e6 · 0ba21e6
1 parent 72b32c4
commit 0ba21e6
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Showing 2 changed files with 7 additions and 7 deletions.
diff --git a/strkit/VERSION b/strkit/VERSION
@@ -1 +1 @@
-0.11.7
+0.11.8
diff --git a/strkit/mi/result.py b/strkit/mi/result.py
@@ -222,15 +222,15 @@ def _respects_mi_ci(self, c_gt_ci, m_gt_ci, f_gt_ci, widen: float) -> Optional[b
         try:
             m_gt_ci_0 = (m_gt_ci[0][0] - (m_gt_ci[0][0] * widen), m_gt_ci[0][1] + (m_gt_ci[0][1] * widen))
             m_gt_ci_1 = (m_gt_ci[1][0] - (m_gt_ci[1][0] * widen), m_gt_ci[1][1] + (m_gt_ci[1][1] * widen))
-        except IndexError:
-            self._logger.error(f"Encountered invalid maternal confidence intervals: {m_gt_ci}")
+        except (IndexError, TypeError) as e:
+            self._logger.error(f"Encountered invalid maternal confidence intervals: {m_gt_ci} ({e})")
             return None
 
         try:
             f_gt_ci_0 = (f_gt_ci[0][0] - (f_gt_ci[0][0] * widen), f_gt_ci[0][1] + (f_gt_ci[0][1] * widen))
             f_gt_ci_1 = (f_gt_ci[1][0] - (f_gt_ci[1][0] * widen), f_gt_ci[1][1] + (f_gt_ci[1][1] * widen))
-        except IndexError:
-            self._logger.error(f"Encountered invalid paternal confidence intervals: {f_gt_ci}")
+        except (IndexError, TypeError) as e:
+            self._logger.error(f"Encountered invalid paternal confidence intervals: {f_gt_ci} ({e})")
             return None
 
         try:
@@ -247,8 +247,8 @@ def _respects_mi_ci(self, c_gt_ci, m_gt_ci, f_gt_ci, widen: float) -> Optional[b
                 (cis_overlap(c_gt_ci[1], m_gt_ci_1) and cis_overlap(c_gt_ci[0], f_gt_ci_0)),
                 (cis_overlap(c_gt_ci[1], m_gt_ci_1) and cis_overlap(c_gt_ci[0], f_gt_ci_1)),
             ))
-        except IndexError:
-            self._logger.error(f"Encountered invalid child confidence intervals: {c_gt_ci}")
+        except (IndexError, TypeError) as e:
+            self._logger.error(f"Encountered invalid child confidence intervals: {c_gt_ci} ({e})")
             return None
 
     def respects_mi(self, widen: Optional[float] = None) -> tuple[bool, bool, Optional[bool], Optional[bool]]: