diff --git a/boiling_learning/datasets/cache.py b/boiling_learning/datasets/cache.py
index 6a6bcaf7..37164f4f 100644
--- a/boiling_learning/datasets/cache.py
+++ b/boiling_learning/datasets/cache.py
@@ -7,7 +7,8 @@
 from typing_extensions import Literal
 
 from boiling_learning.datasets.sliceable import SliceableDatasetCache
-from boiling_learning.utils.utils import PathLike, resolve, unsort
+from boiling_learning.utils.iterutils import unsort
+from boiling_learning.utils.utils import PathLike, resolve
 
 _T = TypeVar('_T')
 
diff --git a/boiling_learning/preprocessing/hdf5.py b/boiling_learning/preprocessing/hdf5.py
index c579fb7a..60cce792 100644
--- a/boiling_learning/preprocessing/hdf5.py
+++ b/boiling_learning/preprocessing/hdf5.py
@@ -8,7 +8,8 @@
 
 from boiling_learning.datasets.sliceable import SliceableDataset
 from boiling_learning.preprocessing.video import VideoFrame
-from boiling_learning.utils.utils import PathLike, resolve, unsort
+from boiling_learning.utils.iterutils import unsort
+from boiling_learning.utils.utils import PathLike, resolve
 
 _T = TypeVar('_T')
 
diff --git a/boiling_learning/utils/iterutils.py b/boiling_learning/utils/iterutils.py
index 29c28369..2944c2a9 100644
--- a/boiling_learning/utils/iterutils.py
+++ b/boiling_learning/utils/iterutils.py
@@ -1,4 +1,6 @@
-from typing import Any, Callable, Iterable, List, TypeVar
+import itertools
+import typing
+from typing import Any, Callable, Iterable, List, Tuple, TypeVar
 
 import more_itertools as mit
 import numpy as np
@@ -62,8 +64,19 @@ def evenly_spaced_indices(
     else:
         raise ValueError('`goal` must be either `"distance"` or `"spread"`')
 
-    return np.round(points).astype(int).tolist()
+    return typing.cast(List[int], np.round(points).astype(int).tolist())
 
 
 def distance_maximized_evenly_spaced_indices(total: int, count: int) -> List[int]:
     return evenly_spaced_indices(total, count, goal='distance')
+
+
+def unsort(iterable: Iterable[_T]) -> Tuple[Iterable[int], Iterable[_T]]:
+    peekable = mit.peekable(iterable)
+
+    if not peekable:
+        return (), ()
+
+    sorted_indices, sorters = mit.sort_together((peekable, itertools.count()))
+    _, unsorters = mit.sort_together((sorters, itertools.count()))
+    return unsorters, sorted_indices
diff --git a/boiling_learning/utils/utils.py b/boiling_learning/utils/utils.py
index 467aef87..0964d123 100644
--- a/boiling_learning/utils/utils.py
+++ b/boiling_learning/utils/utils.py
@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import itertools
 import operator
 import os
 import random
@@ -17,13 +16,11 @@
     Mapping,
     Optional,
     Sequence,
-    Tuple,
     TypeVar,
     Union,
 )
 
 import funcy
-import more_itertools as mit
 
 _T = TypeVar('_T')
 _Key = TypeVar('_Key')
@@ -51,17 +48,6 @@ def argsorted(iterable: Iterable) -> Iterable[int]:
     return funcy.pluck(0, sorted(enumerate(iterable), key=operator.itemgetter(1)))
 
 
-def unsort(iterable: Iterable[_T]) -> Tuple[Iterable[int], Iterable[_T]]:
-    peekable = mit.peekable(iterable)
-
-    if not peekable:
-        return (), ()
-
-    sorted_indices, sorters = mit.sort_together((peekable, itertools.count()))
-    _, unsorters = mit.sort_together((sorters, itertools.count()))
-    return unsorters, sorted_indices
-
-
 def merge_dicts(*dict_args: Mapping, latter_precedence: bool = True) -> dict:
     if latter_precedence:
         dict_args = reversed(dict_args)
diff --git a/tests/test_utils_.py b/tests/test_utils_.py
index 4c1a448e..c4e0442a 100644
--- a/tests/test_utils_.py
+++ b/tests/test_utils_.py
@@ -3,27 +3,8 @@
 
 from boiling_learning.utils.collections import KeyedSet
 from boiling_learning.utils.geometry import Cylinder, RectangularPrism
-from boiling_learning.utils.iterutils import evenly_spaced_indices
+from boiling_learning.utils.iterutils import evenly_spaced_indices, unsort
 from boiling_learning.utils.lazy import Lazy, LazyCallable
-from boiling_learning.utils.utils import indexify, unsort
-
-
-class utils_utils_test(TestCase):
-    def test_indexify(self) -> None:
-        self.assertEqual(tuple(indexify('abc')), (0, 1, 2))
-
-    def test_unsort(self) -> None:
-        unsorted_items = [50, 30, 20, 10, 40]
-
-        unsorters, sorted_items = unsort(unsorted_items)
-        unsorters = list(unsorters)
-        sorted_items = list(sorted_items)
-        assert sorted_items == [10, 20, 30, 40, 50]
-        assert unsorters == [4, 2, 1, 0, 3]
-
-        assert [sorted_items[index] for index in unsorters] == unsorted_items
-
-        assert unsort(()) == ((), ())
 
 
 class utils_collections_test(TestCase):
@@ -46,13 +27,13 @@ def test_KeyedSet(self) -> None:
 
 
 class geometry_test(TestCase):
-    def test_Cylinder(self) -> int:
+    def test_Cylinder(self) -> None:
         cylinder = Cylinder(length=10, diameter=2)
 
         assert cylinder.radius() == 1
         assert cylinder.volume() == math.pi * 1 ** 2 * 10
 
-    def test_RectangularPrism(self) -> int:
+    def test_RectangularPrism(self) -> None:
         prism = RectangularPrism(width=5, thickness=3, length=10)
 
         self.assertEqual(prism.cross_section_area(), 15)
@@ -117,3 +98,16 @@ def test_evenly_spaced_indices(self) -> None:
 
                 with self.assertRaises(ValueError):
                     evenly_spaced_indices(total, total + 1, goal='spread')
+
+    def test_unsort(self) -> None:
+        unsorted_items = [50, 30, 20, 10, 40]
+
+        unsorters, sorted_items = unsort(unsorted_items)
+        unsorters = list(unsorters)
+        sorted_items = list(sorted_items)
+        assert sorted_items == [10, 20, 30, 40, 50]
+        assert unsorters == [4, 2, 1, 0, 3]
+
+        assert [sorted_items[index] for index in unsorters] == unsorted_items
+
+        assert unsort(()) == ((), ())