diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 97bf22889..b1d264509 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -46,7 +46,7 @@ repos:
   # We can probably remove `isort` if we come to trust `ruff --fix`,
   # but we'll need to figure out the configuration to do this in `ruff`
   - repo: https://github.com/pycqa/isort
-    rev: 5.12.0
+    rev: 5.13.1
     hooks:
       - id: isort
   # Let's keep `pyupgrade` even though `ruff --fix` probably does most of it
@@ -61,12 +61,12 @@ repos:
       - id: auto-walrus
         args: [--line-length, "100"]
   - repo: https://github.com/psf/black
-    rev: 23.10.1
+    rev: 23.12.0
     hooks:
       - id: black
       - id: black-jupyter
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.1.4
+    rev: v0.1.7
     hooks:
       - id: ruff
         args: [--fix-only, --show-fixes]
@@ -79,7 +79,7 @@ repos:
         additional_dependencies: &flake8_dependencies
         # These versions need updated manually
         - flake8==6.1.0
-        - flake8-bugbear==23.9.16
+        - flake8-bugbear==23.12.2
         - flake8-simplify==0.21.0
   - repo: https://github.com/asottile/yesqa
     rev: v1.5.0
@@ -94,11 +94,11 @@ repos:
         additional_dependencies: [tomli]
         files: ^(graphblas|docs)/
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.1.4
+    rev: v0.1.7
     hooks:
       - id: ruff
   - repo: https://github.com/sphinx-contrib/sphinx-lint
-    rev: v0.8.1
+    rev: v0.9.1
     hooks:
       - id: sphinx-lint
         args: [--enable, all, "--disable=line-too-long,leaked-markup"]
diff --git a/graphblas/core/operator/utils.py b/graphblas/core/operator/utils.py
index cd0b82d3c..543df793e 100644
--- a/graphblas/core/operator/utils.py
+++ b/graphblas/core/operator/utils.py
@@ -75,6 +75,9 @@ def get_typed_op(op, dtype, dtype2=None, *, is_left_scalar=False, is_right_scala
     from .agg import Aggregator, TypedAggregator
 
     if isinstance(op, Aggregator):
+        # agg._any_dtype basically serves the same purpose as op._custom_dtype
+        if op._any_dtype is not None and op._any_dtype is not True:
+            return op[op._any_dtype]
         return op[dtype]
     if isinstance(op, TypedAggregator):
         return op
diff --git a/graphblas/tests/test_scalar.py b/graphblas/tests/test_scalar.py
index aeb19e170..3c7bffa9a 100644
--- a/graphblas/tests/test_scalar.py
+++ b/graphblas/tests/test_scalar.py
@@ -250,7 +250,7 @@ def test_update(s):
 
 def test_not_hashable(s):
     with pytest.raises(TypeError, match="unhashable type"):
-        {s}
+        _ = {s}
     with pytest.raises(TypeError, match="unhashable type"):
         hash(s)
 
diff --git a/graphblas/tests/test_vector.py b/graphblas/tests/test_vector.py
index 1c9a8d38c..8a2cd0824 100644
--- a/graphblas/tests/test_vector.py
+++ b/graphblas/tests/test_vector.py
@@ -948,6 +948,21 @@ def test_reduce_agg(v):
     assert s.is_empty
 
 
+def test_reduce_agg_count_is_int64(v):
+    """Aggregators that count should default to INT64 return dtype."""
+    assert v.dtype == dtypes.INT64
+    res = v.reduce(agg.count).new()
+    assert res.dtype == dtypes.INT64
+    assert res == 4
+    res = v.dup(dtypes.INT8).reduce(agg.count).new()
+    assert res.dtype == dtypes.INT64
+    assert res == 4
+    # Allow return dtype to be specified
+    res = v.dup(dtypes.INT8).reduce(agg.count[dtypes.INT16]).new()
+    assert res.dtype == dtypes.INT16
+    assert res == 4
+
+
 @pytest.mark.skipif("not suitesparse")
 def test_reduce_agg_argminmax(v):
     assert v.reduce(agg.ss.argmin).new() == 6
diff --git a/scripts/check_versions.sh b/scripts/check_versions.sh
index d197f2af2..db786b190 100755
--- a/scripts/check_versions.sh
+++ b/scripts/check_versions.sh
@@ -3,7 +3,7 @@
 # Use, adjust, copy/paste, etc. as necessary to answer your questions.
 # This may be helpful when updating dependency versions in CI.
 # Tip: add `--json` for more information.
-conda search 'flake8-bugbear[channel=conda-forge]>=23.9.16'
+conda search 'flake8-bugbear[channel=conda-forge]>=23.12.2'
 conda search 'flake8-simplify[channel=conda-forge]>=0.21.0'
 conda search 'numpy[channel=conda-forge]>=1.26.0'
 conda search 'pandas[channel=conda-forge]>=2.1.2'