1 files changed, 0 insertions, 51 deletions
diff --git a/dev-python/gfloat/files/gfloat-0.5.2-signed-zero-overflow.patch b/dev-python/gfloat/files/gfloat-0.5.2-signed-zero-overflow.patch
deleted file mode 100644
index fd011671ecfe..000000000000
--- a/dev-python/gfloat/files/gfloat-0.5.2-signed-zero-overflow.patch
+++ /dev/null
@@ -1,51 +0,0 @@
-From 575ceff2babe3e54795ec4ce441ec8e981462f9b Mon Sep 17 00:00:00 2001
-From: Andrew Fitzgibbon <awf@fitzgibbon.ie>
-Date: Fri, 18 Sep 2026 15:58:51 +0100
-Subject: [PATCH] Fix binary64 ndarray encoding overflow for signed zero
-
----
- src/gfloat/encode_ndarray.py |  5 ++++-
- test/test_encode.py          | 17 +++++++++++++++++
- 2 files changed, 21 insertions(+), 1 deletion(-)
-
-diff --git a/src/gfloat/encode_ndarray.py b/src/gfloat/encode_ndarray.py
-index af883e4..3d5981c 100644
---- a/src/gfloat/encode_ndarray.py
-+++ b/src/gfloat/encode_ndarray.py
-@@ -51,7 +51,10 @@ def encode_ndarray(fi: FormatInfo, v: npt.NDArray) -> npt.NDArray:
- 
-     if fi.has_zero:
-         if fi.has_nz:
--            code[v == 0] = np.where(sign[v == 0], fi.code_of_negzero, fi.code_of_zero)
-+            # binary64's negative-zero code exceeds the signed int64 range.
-+            code[v == 0] = np.where(
-+                sign[v == 0], np.uint64(fi.code_of_negzero), np.uint64(fi.code_of_zero)
-+            )
-         else:
-             code[v == 0] = fi.code_of_zero
- 
-diff --git a/test/test_encode.py b/test/test_encode.py
-index efdaa1f..8ab344f 100644
---- a/test/test_encode.py
-+++ b/test/test_encode.py
-@@ -62,3 +62,20 @@ def test_encode_edges(fi: FormatInfo, enc: Callable) -> None:
-             if fi.domain == Domain.Extended
-             else fi.code_of_nan if fi.num_nans > 0 else fi.code_of_min
-         )
-+
-+
-+@pytest.mark.parametrize(
-+    "values",
-+    [
-+        [0.0, -0.0],
-+        [[-0.0, 0.0], [1.0, -1.0]],
-+        [1.0, -1.0],  # The zero selection is empty, as in issue #63.
-+        [],
-+    ],
-+)
-+def test_encode_binary64_signed_zero(values: npt.ArrayLike) -> None:
-+    v = np.array(values, dtype=np.float64)
-+    codes = encode_ndarray(format_info_binary64, v)
-+    assert codes.dtype == np.dtype(np.uint64)
-+    assert codes.shape == v.shape
-+    np.testing.assert_array_equal(codes, v.view(np.uint64))