return most specific type

python/damask/_orientation.py

@@ -558,8 +558,8 @@ class Orientation(Rotation,Crystal):
         s = self.equivalent
         o = other.equivalent
 
-        s_ = s.reshape((s.shape[0],1)+ self.shape).broadcast_to((s.shape[0],o.shape[0])+blend,mode='right') #type: ignore
-        o_ = o.reshape((1,o.shape[0])+other.shape).broadcast_to((s.shape[0],o.shape[0])+blend,mode='right') #type: ignore
+        s_ = s.reshape((s.shape[0],1)+ self.shape).broadcast_to((s.shape[0],o.shape[0])+blend,mode='right')
+        o_ = o.reshape((1,o.shape[0])+other.shape).broadcast_to((s.shape[0],o.shape[0])+blend,mode='right')
         r_ = s_.misorientation(o_)
         _r = ~r_
 
@@ -654,7 +654,7 @@ class Orientation(Rotation,Crystal):
             raise ValueError('input is not a field of three-dimensional vectors')
         eq  = self.equivalent
         blend = util.shapeblender(eq.shape,vector_.shape[:-1])
-        poles = eq.broadcast_to(blend,mode='right') @ np.broadcast_to(vector_,blend+(3,)) #type: ignore
+        poles = eq.broadcast_to(blend,mode='right') @ np.broadcast_to(vector_,blend+(3,))
         ok    = self.in_SST(poles,proper=proper)
         ok   &= np.cumsum(ok,axis=0) == 1
         loc   = np.where(ok)
@@ -884,7 +884,7 @@ class Orientation(Rotation,Crystal):
             blend += sym_ops.shape
             v = sym_ops.broadcast_to(shape) \
               @ np.broadcast_to(v.reshape(util.shapeshifter(v.shape,shape+(3,))),shape+(3,))
-        return ~(self.broadcast_to(blend))@ np.broadcast_to(v,blend+(3,)) #type: ignore
+        return ~(self.broadcast_to(blend))@ np.broadcast_to(v,blend+(3,))
 
 
     def Schmid(self, *,

python/damask/util.py

@@ -9,7 +9,7 @@ import re
 import fractions
 from collections import abc
 from functools import reduce
-from typing import Union, Tuple, Iterable, Callable, Dict, List, Any, Literal, SupportsIndex
+from typing import Union, Tuple, Iterable, Callable, Dict, List, Any, Literal
 from pathlib import Path
 
 import numpy as np
@@ -427,7 +427,7 @@ def hybrid_IA(dist: np.ndarray,
 def shapeshifter(fro: Tuple[int, ...],
                  to: Tuple[int, ...],
                  mode: Literal['left','right'] = 'left',
-                 keep_ones: bool = False) -> Tuple[SupportsIndex, ...]:
+                 keep_ones: bool = False) -> Tuple[int, ...]:
     """
     Return dimensions that reshape 'fro' to become broadcastable to 'to'.
 
@@ -490,7 +490,7 @@ def shapeshifter(fro: Tuple[int, ...],
 
 
 def shapeblender(a: Tuple[int, ...],
-                 b: Tuple[int, ...]) -> Tuple[SupportsIndex, ...]:
+                 b: Tuple[int, ...]) -> Tuple[int, ...]:
     """
     Return a shape that overlaps the rightmost entries of 'a' with the leftmost of 'b'.