From 9c84c4a4cec555fc3096a7edb44f811cc34582d6 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 20 Jan 2025 21:40:18 +0000
Subject: [PATCH 1/2] pre-commit.ci: update pre-commit hooks
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.9.1 → v0.9.2](https://github.com/astral-sh/ruff-pre-commit/compare/v0.9.1...v0.9.2)
- [github.com/rhysd/actionlint: v1.7.6 → v1.7.7](https://github.com/rhysd/actionlint/compare/v1.7.6...v1.7.7)
---
 .pre-commit-config.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 2590888d..365ded25 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -33,7 +33,7 @@ repos:
         args:
           - --strict
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.9.1
+    rev: v0.9.2
     hooks:
       - id: ruff
       - id: ruff-format
@@ -62,7 +62,7 @@ repos:
     hooks:
       - id: forbid-tabs
   - repo: https://github.com/rhysd/actionlint
-    rev: v1.7.6
+    rev: v1.7.7
     hooks:
       - id: actionlint
   - repo: https://github.com/pre-commit/mirrors-mypy

From 1d1bc2410a7eb64bcec394e83fc50fbaf251d03c Mon Sep 17 00:00:00 2001
From: "Patrick J. Roddy" <patrickjamesroddy@gmail.com>
Date: Tue, 21 Jan 2025 16:02:04 +0000
Subject: [PATCH 2/2] Silence mypy

---
 glass/core/array.py |  2 +-
 glass/points.py     |  6 +++---
 glass/shells.py     | 14 +++++++-------
 3 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/glass/core/array.py b/glass/core/array.py
index 9814e1e4..00a4e34f 100644
--- a/glass/core/array.py
+++ b/glass/core/array.py
@@ -166,7 +166,7 @@ def trapezoid_product(
     y = np.interp(x, *f)
     for f_ in ff:
         y *= np.interp(x, *f_)
-    return np.trapezoid(y, x, axis=axis)  # type: ignore[no-any-return]
+    return np.trapezoid(y, x, axis=axis)  # type: ignore[return-value]
 
 
 def cumulative_trapezoid(
diff --git a/glass/points.py b/glass/points.py
index 39f1cf23..1ecf1f34 100644
--- a/glass/points.py
+++ b/glass/points.py
@@ -85,7 +85,7 @@ def effective_bias(
 
     """
     norm = np.trapezoid(w.wa, w.za)
-    return trapezoid_product((z, bz), (w.za, w.wa)) / norm
+    return trapezoid_product((z, bz), (w.za, w.wa)) / norm  # type: ignore[return-value]
 
 
 def linear_bias(
@@ -107,7 +107,7 @@ def linear_bias(
         The density contrast after biasing.
 
     """
-    return b * delta
+    return b * delta  # type: ignore[return-value]
 
 
 def loglinear_bias(
@@ -413,6 +413,6 @@ def position_weights(
     densities = densities / np.sum(densities, axis=0)
     # apply bias after normalisation
     if bias is not None:
-        densities = densities * bias
+        densities = densities * bias  # type: ignore[assignment]
     # densities now contains the relative contribution with bias applied
     return densities
diff --git a/glass/shells.py b/glass/shells.py
index a28a1295..4ee414d5 100644
--- a/glass/shells.py
+++ b/glass/shells.py
@@ -236,9 +236,9 @@ def tophat_windows(
     for zmin, zmax in itertools.pairwise(zbins):
         n = max(round((zmax - zmin) / dz), 2)
         z = np.linspace(zmin, zmax, n)
-        w = wht(z)
+        w = wht(z)  # type: ignore[arg-type]
         zeff = np.trapezoid(w * z, z) / np.trapezoid(w, z)
-        ws.append(RadialWindow(z, w, zeff))
+        ws.append(RadialWindow(z, w, zeff))  # type: ignore[arg-type]
     return ws
 
 
@@ -410,7 +410,7 @@ def restrict(
     z_ = np.compress(np.greater(z, w.za[0]) & np.less(z, w.za[-1]), z)
     zr = np.union1d(w.za, z_)
     fr = ndinterp(zr, z, f, left=0.0, right=0.0) * ndinterp(zr, w.za, w.wa)
-    return zr, fr
+    return zr, fr  # type: ignore[return-value]
 
 
 def partition(
@@ -565,7 +565,7 @@ def partition_lstsq(
     # compute the union of all given redshift grids
     zp = z
     for w in shells:
-        zp = np.union1d(zp, w.za)
+        zp = np.union1d(zp, w.za)  # type: ignore[assignment]
 
     # get extra leading axes of fz
     *dims, _ = np.shape(fz)
@@ -629,7 +629,7 @@ def partition_nnls(
     # compute the union of all given redshift grids
     zp = z
     for w in shells:
-        zp = np.union1d(zp, w.za)
+        zp = np.union1d(zp, w.za)  # type: ignore[assignment]
 
     # get extra leading axes of fz
     *dims, _ = np.shape(fz)
@@ -673,7 +673,7 @@ def partition_nnls(
     # for each dim, find non-negative weights x such that y == r @ x
     x = np.empty([len(shells), *dims])
     for i in np.ndindex(*dims):
-        x[(..., *i)] = nnls(r, y[i])
+        x[(..., *i)] = nnls(r, y[i])  # type: ignore[index]
 
     # all done
     return x
@@ -742,7 +742,7 @@ def _uniform_grid(
     if step is not None and num is None:
         return np.arange(start, np.nextafter(stop + step, stop), step)
     if step is None and num is not None:
-        return np.linspace(start, stop, num + 1)
+        return np.linspace(start, stop, num + 1)  # type: ignore[return-value]
     msg = "exactly one of grid step size or number of steps must be given"
     raise ValueError(msg)