check_untyped_defs pandas.core.internals.concat

Author: simonjayhawkins

pandas/core/internals/concat.py

@@ -1,6 +1,7 @@
 # TODO: Needs a better name; too many modules are already called "concat"
 from collections import defaultdict
 import copy
+from typing import Dict, List
 
 import numpy as np
 
@@ -41,10 +42,10 @@ def get_mgr_concatenation_plan(mgr, indexers):
     """
     # Calculate post-reindex shape , save for item axis which will be separate
     # for each block anyway.
-    mgr_shape = list(mgr.shape)
+    mgr_shape_ = list(mgr.shape)
     for ax, indexer in indexers.items():
-        mgr_shape[ax] = len(indexer)
-    mgr_shape = tuple(mgr_shape)
+        mgr_shape_[ax] = len(indexer)
+    mgr_shape = tuple(mgr_shape_)
 
     if 0 in indexers:
         ax0_indexer = indexers.pop(0)
@@ -69,9 +70,9 @@ def get_mgr_concatenation_plan(mgr, indexers):
 
         join_unit_indexers = indexers.copy()
 
-        shape = list(mgr_shape)
-        shape[0] = len(placements)
-        shape = tuple(shape)
+        shape_ = list(mgr_shape)
+        shape_[0] = len(placements)
+        shape = tuple(shape_)
 
         if blkno == -1:
             unit = JoinUnit(None, shape)
@@ -300,8 +301,8 @@ def get_empty_dtype_and_na(join_units):
         else:
             dtypes[i] = unit.dtype
 
-    upcast_classes = defaultdict(list)
-    null_upcast_classes = defaultdict(list)
+    upcast_classes: Dict[str, List] = defaultdict(list)
+    null_upcast_classes: Dict[str, List] = defaultdict(list)
     for dtype, unit in zip(dtypes, join_units):
         if dtype is None:
             continue

setup.cfg

@@ -218,9 +218,6 @@ check_untyped_defs=False
 [mypy-pandas.core.internals.blocks]
 check_untyped_defs=False
 
-[mypy-pandas.core.internals.concat]
-check_untyped_defs=False
-
 [mypy-pandas.core.internals.construction]
 check_untyped_defs=False