From 45284203b1e4a4cb53a6729cfe473d648e4f953e Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Fri, 3 Jan 2025 14:01:05 +0000
Subject: [PATCH 01/14] DEV: bump version to 0.5.1.dev0

---
 pixi.lock                       | 2 +-
 src/array_api_extra/__init__.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index 6fb8ca0a..97b67120 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -2468,7 +2468,7 @@ packages:
   timestamp: 1735201429468
 - pypi: .
   name: array-api-extra
-  version: 0.5.0
+  version: 0.5.1.dev0
   sha256: d251a42cf798c262b31d53a9ad6a39ccaee0da06f854d3d2380ef4c014e963dd
   requires_dist:
   - array-api-compat>=1.10.0,<2
diff --git a/src/array_api_extra/__init__.py b/src/array_api_extra/__init__.py
index d1673378..a4f6815f 100644
--- a/src/array_api_extra/__init__.py
+++ b/src/array_api_extra/__init__.py
@@ -12,7 +12,7 @@
     sinc,
 )
 
-__version__ = "0.5.0"
+__version__ = "0.5.1.dev0"
 
 # pylint: disable=duplicate-code
 __all__ = [

From e75a97ea6d9707fc4759e947ae2a136add109520 Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Sat, 4 Jan 2025 09:14:58 +0000
Subject: [PATCH 02/14] TYP: fix basedmypy 2.9.0 errors (#79)

---
 pixi.lock                     | 159 +++++++++++++++++-----------------
 pyproject.toml                |   2 +-
 src/array_api_extra/_funcs.py |  11 ++-
 tests/test_at.py              |   8 +-
 4 files changed, 92 insertions(+), 88 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index 97b67120..3b33cd02 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -143,7 +143,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/linux-64/pandas-2.2.3-py310h5eaa309_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/pillow-11.0.0-py310hfeaa1f3_0.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/pillow-11.1.0-py310h7e6dc6c_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_1.conda
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       - conda: https://prefix.dev/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda
@@ -317,7 +317,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/osx-arm64/pandas-2.2.3-py310hfd37619_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda
-      - conda: https://prefix.dev/conda-forge/osx-arm64/pillow-11.0.0-py310h530beaf_0.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/pillow-11.1.0-py310h61efb56_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/psutil-6.1.1-py310h078409c_0.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/pthread-stubs-0.4-hd74edd7_1002.conda
@@ -462,7 +462,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/win-64/pandas-2.2.3-py310hb4db72f_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda
-      - conda: https://prefix.dev/conda-forge/win-64/pillow-11.0.0-py310h4dc435f_0.conda
+      - conda: https://prefix.dev/conda-forge/win-64/pillow-11.1.0-py310h9595edc_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/win-64/psutil-6.1.1-py310ha8f682b_0.conda
       - conda: https://prefix.dev/conda-forge/win-64/pthread-stubs-0.4-h0e40799_1002.conda
@@ -847,7 +847,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/noarch/asttokens-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/babel-2.16.0-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/noarch/basedmypy-2.8.1-pyhd8ed1ab_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/basedmypy-2.9.0-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/basedpyright-1.23.1-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/basedtyping-0.1.10-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_1.conda
@@ -857,7 +857,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/noarch/charset-normalizer-3.4.0-pyhd8ed1ab_1.conda
+      - conda: https://prefix.dev/conda-forge/noarch/charset-normalizer-3.4.1-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/coverage-7.6.10-py313h8060acc_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_1.conda
@@ -941,7 +941,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/noarch/sphinx-autodoc-typehints-2.5.0-pyhd8ed1ab_1.conda
+      - conda: https://prefix.dev/conda-forge/noarch/sphinx-autodoc-typehints-3.0.0-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/sphinx-basic-ng-1.0.0b2-pyhd8ed1ab_2.conda
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@@ -962,7 +962,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/linux-64/ukkonen-1.0.1-py313h33d0bda_5.conda
       - conda: https://prefix.dev/conda-forge/noarch/urllib3-2.3.0-pyhd8ed1ab_0.conda
-      - conda: https://prefix.dev/conda-forge/noarch/virtualenv-20.28.0-pyhd8ed1ab_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/virtualenv-20.28.1-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
       - conda: https://prefix.dev/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda
@@ -976,7 +976,7 @@ environments:
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-      - conda: https://prefix.dev/conda-forge/noarch/basedmypy-2.8.1-pyhd8ed1ab_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/basedmypy-2.9.0-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/basedpyright-1.23.1-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/basedtyping-0.1.10-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_1.conda
@@ -986,7 +986,7 @@ environments:
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-      - conda: https://prefix.dev/conda-forge/noarch/charset-normalizer-3.4.0-pyhd8ed1ab_1.conda
+      - conda: https://prefix.dev/conda-forge/noarch/charset-normalizer-3.4.1-pyhd8ed1ab_0.conda
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@@ -1065,7 +1065,7 @@ environments:
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-      - conda: https://prefix.dev/conda-forge/noarch/sphinx-autodoc-typehints-2.5.0-pyhd8ed1ab_1.conda
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@@ -1086,7 +1086,7 @@ environments:
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-      - conda: https://prefix.dev/conda-forge/noarch/virtualenv-20.28.0-pyhd8ed1ab_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/virtualenv-20.28.1-pyhd8ed1ab_0.conda
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-      - conda: https://prefix.dev/conda-forge/noarch/basedmypy-2.8.1-pyhd8ed1ab_0.conda
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   timestamp: 1733754175386
-- conda: https://prefix.dev/conda-forge/noarch/sphinx-autodoc-typehints-2.5.0-pyhd8ed1ab_1.conda
-  sha256: de09aeff8819105fecdef2354d65af672a22ea092d7c7a2530bb4a43db50a2cf
-  md5: a84c2ed55076791d098dfa4e53676286
+- conda: https://prefix.dev/conda-forge/noarch/sphinx-autodoc-typehints-3.0.0-pyhd8ed1ab_0.conda
+  sha256: aeb036de447e78f2c7d718822d99b7e285d4d96b191afd85aab8a39d5ec19a85
+  md5: 243019ab35941dc825817a5ee4fd7ef4
   depends:
   - python >=3.10
-  - sphinx >=8.0.2
+  - sphinx >=8.1.3
   license: MIT
   license_family: MIT
   purls:
   - pkg:pypi/sphinx-autodoc-typehints?source=hash-mapping
-  size: 23984
-  timestamp: 1734685024740
+  size: 23860
+  timestamp: 1735917178684
 - conda: https://prefix.dev/conda-forge/noarch/sphinx-basic-ng-1.0.0b2-pyhd8ed1ab_2.conda
   sha256: 091293964075ed1905731d09ff2691e053cd9d5335d99501f05683da29de0ee7
   md5: 463d989a8f1506bcf51cc37d7beebdf1
@@ -9751,20 +9755,19 @@ packages:
   purls: []
   size: 754247
   timestamp: 1731710681163
-- conda: https://prefix.dev/conda-forge/noarch/virtualenv-20.28.0-pyhd8ed1ab_0.conda
-  sha256: 82776f74e90a296b79415361faa6b10f360755c1fb8e6d59ca68509e6fe7e115
-  md5: 1d601bc1d28b5ce6d112b90f4b9b8ede
+- conda: https://prefix.dev/conda-forge/noarch/virtualenv-20.28.1-pyhd8ed1ab_0.conda
+  sha256: c8bde4547ddbd21ea89e483a7c65d8a5e442c0db494b0b977e389b75b9d03d62
+  md5: 680b1c287b10cefc8bda0530b217229f
   depends:
   - distlib >=0.3.7,<1
   - filelock >=3.12.2,<4
   - platformdirs >=3.9.1,<5
   - python >=3.9
   license: MIT
-  license_family: MIT
   purls:
   - pkg:pypi/virtualenv?source=hash-mapping
-  size: 3350255
-  timestamp: 1732609542072
+  size: 3350367
+  timestamp: 1735929107438
 - conda: https://prefix.dev/conda-forge/win-64/vs2015_runtime-14.42.34433-hdffcdeb_23.conda
   sha256: 568ce8151eaae256f1cef752fc78651ad7a86ff05153cc7a4740b52ae6536118
   md5: 5c176975ca2b8366abad3c97b3cd1e83
diff --git a/pyproject.toml b/pyproject.toml
index 3e3a7584..58c02fab 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -71,7 +71,7 @@ array-api-extra = { path = ".", editable = true }
 [tool.pixi.feature.lint.dependencies]
 pre-commit = "*"
 pylint = "*"
-basedmypy = "2.8.*"
+basedmypy = "*"
 basedpyright = "*"
 numpydoc = ">=1.8.0,<2"
 # import dependencies for mypy:
diff --git a/src/array_api_extra/_funcs.py b/src/array_api_extra/_funcs.py
index e0fa5f54..80ad3c2d 100644
--- a/src/array_api_extra/_funcs.py
+++ b/src/array_api_extra/_funcs.py
@@ -5,10 +5,9 @@
 
 import operator
 import warnings
-
-# https://github.com/pylint-dev/pylint/issues/10112
-from collections.abc import Callable  # pylint: disable=import-error
-from typing import ClassVar, Literal
+from collections.abc import Callable
+from types import ModuleType
+from typing import ClassVar, Literal, cast
 
 from ._lib import _compat, _utils
 from ._lib._compat import (
@@ -16,7 +15,7 @@
     is_jax_array,
     is_writeable_array,
 )
-from ._lib._typing import Array, Index, ModuleType
+from ._lib._typing import Array, Index
 
 __all__ = [
     "at",
@@ -779,7 +778,7 @@ def _update_common(
         if copy:
             if is_jax_array(x):
                 # Use JAX's at[]
-                func = getattr(x.at[idx], at_op)
+                func = cast(Callable[[Array], Array], getattr(x.at[idx], at_op))
                 return func(y), None
             # Emulate at[] behaviour for non-JAX arrays
             # with a copy followed by an update
diff --git a/tests/test_at.py b/tests/test_at.py
index 1f660675..f50b9248 100644
--- a/tests/test_at.py
+++ b/tests/test_at.py
@@ -1,6 +1,7 @@
-from collections.abc import Generator
+from collections.abc import Callable, Generator
 from contextlib import contextmanager
 from importlib import import_module
+from typing import cast
 
 import numpy as np
 import pytest
@@ -100,7 +101,8 @@ def test_update_ops(
         pytest.skip("at() does not support updates on sparse arrays")
 
     with assert_copy(array, expect_copy):
-        y = getattr(at(array)[1:], op)(arg, **kwargs)
+        func = cast(Callable[..., Array], getattr(at(array)[1:], op))  # type: ignore[no-any-explicit]
+        y = func(arg, **kwargs)
         assert isinstance(y, type(array))
         assert_array_equal(y, expect)
 
@@ -153,6 +155,6 @@ def test_iops_incompatible_dtype(op: str, copy: bool):
     to dtype('int64') with casting rule 'same_kind'
     """
     a = np.asarray([2, 4])
-    func = getattr(at(a)[:], op)
+    func = cast(Callable[..., Array], getattr(at(a)[:], op))  # type: ignore[no-any-explicit]
     with pytest.raises(TypeError, match="Cannot cast ufunc"):
         func(1.1, copy=copy)

From a96dffb627c11b913ff83d9769144c2b9445722b Mon Sep 17 00:00:00 2001
From: Guido Imperiale <crusaderky@gmail.com>
Date: Tue, 7 Jan 2025 00:52:23 +0000
Subject: [PATCH 03/14] DOC: clarify `at()` patterns/antipatterns (#81)

Co-authored-by: Lucas Colley <lucas.colley8@gmail.com>
---
 src/array_api_extra/_funcs.py | 31 ++++++++++++++++++++++++-------
 1 file changed, 24 insertions(+), 7 deletions(-)

diff --git a/src/array_api_extra/_funcs.py b/src/array_api_extra/_funcs.py
index 80ad3c2d..db0a1af1 100644
--- a/src/array_api_extra/_funcs.py
+++ b/src/array_api_extra/_funcs.py
@@ -649,22 +649,39 @@ class at:  # pylint: disable=invalid-name  # numpydoc ignore=PR02
 
     Warnings
     --------
-    (a) When you omit the ``copy`` parameter, you should always immediately overwrite
-    the parameter array::
+    (a) When you omit the ``copy`` parameter, you should never reuse the parameter
+    array later on; ideally, you should reassign it immediately::
 
         >>> import array_api_extra as xpx
         >>> x = xpx.at(x, 0).set(2)
 
-    The anti-pattern below must be avoided, as it will result in different
-    behaviour on read-only versus writeable arrays::
+    The above best practice pattern ensures that the behaviour won't change depending
+    on whether ``x`` is writeable or not, as the original ``x`` object is dereferenced
+    as soon as ``xpx.at`` returns; this way there is no risk to accidentally update it
+    twice.
+
+    On the reverse, the anti-pattern below must be avoided, as it will result in
+    different behaviour on read-only versus writeable arrays::
 
         >>> x = xp.asarray([0, 0, 0])
         >>> y = xpx.at(x, 0).set(2)
         >>> z = xpx.at(x, 1).set(3)
 
-    In the above example, ``x == [0, 0, 0]``, ``y == [2, 0, 0]`` and z == ``[0, 3, 0]``
-    when ``x`` is read-only, whereas ``x == y == z == [2, 3, 0]`` when ``x`` is
-    writeable!
+    In the above example, both calls to ``xpx.at`` update ``x`` in place *if possible*.
+    This causes the behaviour to diverge depending on whether ``x`` is writeable or not:
+
+    - If ``x`` is writeable, then after the snippet above you'll have
+      ``x == y == z == [2, 3, 0]``
+    - If ``x`` is read-only, then you'll end up with
+      ``x == [0, 0, 0]``, ``y == [2, 0, 0]`` and ``z == [0, 3, 0]``.
+
+    The correct pattern to use if you want diverging outputs from the same input is
+    to enforce copies::
+
+        >>> x = xp.asarray([0, 0, 0])
+        >>> y = xpx.at(x, 0).set(2, copy=True)  # Never updates x
+        >>> z = xpx.at(x, 1).set(3)  # May or may not update x in place
+        >>> del x  # avoid accidental reuse of x as we don't know its state anymore
 
     (b) The array API standard does not support integer array indices.
     The behaviour of update methods when the index is an array of integers is

From 70c22c0cd00a9ccad771281a8b78075404a24424 Mon Sep 17 00:00:00 2001
From: Evgeni Burovski <evgeny.burovskiy@gmail.com>
Date: Tue, 7 Jan 2025 21:00:02 +0300
Subject: [PATCH 04/14] ENH: allow tuple pad_width in `pad` (#82)

Co-authored-by: Lucas Colley <lucas.colley8@gmail.com>
---
 pixi.lock                     | 765 +++++++++++++++++-----------------
 pyproject.toml                |   7 +-
 src/array_api_extra/_funcs.py |  42 +-
 tests/test_funcs.py           |  19 +
 4 files changed, 446 insertions(+), 387 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index 3b33cd02..23fcb3ee 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -67,11 +67,11 @@ environments:
       - conda: https://prefix.dev/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda
       - conda: https://prefix.dev/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2
-      - conda: https://prefix.dev/conda-forge/linux-64/libabseil-20240722.0-cxx17_hbbce691_2.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-18.1.0-h44a453e_6_cpu.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-acero-18.1.0-hcb10f89_6_cpu.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-dataset-18.1.0-hcb10f89_6_cpu.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-substrait-18.1.0-h3ee7192_6_cpu.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libabseil-20240722.0-cxx17_hbbce691_4.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-18.1.0-hd595efa_7_cpu.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-acero-18.1.0-hcb10f89_7_cpu.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-dataset-18.1.0-hcb10f89_7_cpu.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-substrait-18.1.0-h08228c5_7_cpu.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libblas-3.9.0-26_linux64_openblas.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.conda
@@ -80,7 +80,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/linux-64/libcrc32c-1.1.2-h9c3ff4c_0.tar.bz2
       - conda: https://prefix.dev/conda-forge/linux-64/libcurl-8.11.1-h332b0f4_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libdeflate-1.23-h4ddbbb0_0.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
+      - conda: https://prefix.dev/conda-forge/linux-64/libedit-3.1.20240808-pl5321h7949ede_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libev-4.33-hd590300_2.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libevent-2.1.12-hf998b51_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
@@ -88,9 +88,9 @@ environments:
       - conda: https://prefix.dev/conda-forge/linux-64/libgcc-ng-14.2.0-h69a702a_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libgfortran-14.2.0-h69a702a_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libgfortran5-14.2.0-hd5240d6_1.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libgoogle-cloud-2.32.0-h804f50b_0.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libgoogle-cloud-storage-2.32.0-h0121fbd_0.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libgrpc-1.67.1-hc2c308b_0.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libgoogle-cloud-2.33.0-h2b5623c_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libgoogle-cloud-storage-2.33.0-h0121fbd_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libgrpc-1.67.1-h25350d4_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libhwloc-2.11.2-default_h0d58e46_1001.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda
@@ -100,9 +100,9 @@ environments:
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       - conda: https://prefix.dev/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libopenblas-0.3.28-pthreads_h94d23a6_1.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libparquet-18.1.0-h081d1f1_6_cpu.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libparquet-18.1.0-h081d1f1_7_cpu.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libpng-1.6.44-hadc24fc_0.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libprotobuf-5.28.2-h5b01275_0.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libprotobuf-5.28.3-h6128344_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libre2-11-2024.07.02-hbbce691_2.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libsqlite-3.47.2-hee588c1_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libssh2-1.11.1-hf672d98_0.conda
@@ -110,7 +110,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libthrift-0.21.0-h0e7cc3e_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libtiff-4.7.0-hd9ff511_3.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libtorch-2.5.1-cpu_mkl_h791ef64_107.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libtorch-2.5.1-cpu_mkl_he8ec5d7_108.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libutf8proc-2.9.0-hb9d3cd8_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/libuv-1.49.2-hb9d3cd8_0.conda
@@ -125,7 +125,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/markupsafe-3.0.2-py310h89163eb_1.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/mkl-2023.2.0-h84fe81f_50496.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/mkl-2024.2.2-ha957f24_16.conda
       - conda: https://prefix.dev/conda-forge/linux-64/ml_dtypes-0.5.0-py310h5eaa309_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/mpc-1.3.1-h24ddda3_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/mpfr-4.2.1-h90cbb55_3.conda
@@ -136,10 +136,10 @@ environments:
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       - conda: https://prefix.dev/conda-forge/linux-64/numpy-2.0.2-py310hd6e36ab_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/openjpeg-2.5.3-h5fbd93e_0.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/openssl-3.4.0-hb9d3cd8_0.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/opt-einsum-3.4.0-hd8ed1ab_1.conda
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-      - conda: https://prefix.dev/conda-forge/linux-64/orc-2.0.3-h97ab989_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/orc-2.0.3-h12ee42a_2.conda
       - conda: https://prefix.dev/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda
       - conda: https://prefix.dev/conda-forge/linux-64/pandas-2.2.3-py310h5eaa309_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda
@@ -157,13 +157,13 @@ environments:
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       - conda: https://prefix.dev/conda-forge/linux-64/python_abi-3.10-5_cp310.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/pytorch-2.5.1-cpu_mkl_py310_h61efdf7_107.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/pytorch-2.5.1-cpu_mkl_py310_h27a6d43_108.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
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       - conda: https://prefix.dev/conda-forge/linux-64/s2n-1.5.10-hb5b8611_0.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/scipy-1.14.1-py310hfcf56fc_2.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/scipy-1.15.0-py310hfa6ec8c_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda
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@@ -248,11 +248,11 @@ environments:
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-      - conda: https://prefix.dev/conda-forge/osx-arm64/libarrow-substrait-18.1.0-h86344ea_6_cpu.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/libabseil-20240722.0-cxx17_h07bc746_4.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/libarrow-18.1.0-h0ad35bc_7_cpu.conda
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+      - conda: https://prefix.dev/conda-forge/osx-arm64/libarrow-dataset-18.1.0-hf07054f_7_cpu.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/libarrow-substrait-18.1.0-h4239455_7_cpu.conda
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   - _openmp_mutex >=4.5
@@ -6722,23 +6727,23 @@ packages:
   - libabseil >=20240722.0,<20240723.0a0
   - libcblas >=3.9.0,<4.0a0
   - libgcc >=13
-  - libprotobuf >=5.28.2,<5.28.3.0a0
+  - libprotobuf >=5.28.3,<5.28.4.0a0
   - libstdcxx >=13
   - libuv >=1.49.2,<2.0a0
-  - mkl >=2023.2.0,<2024.0a0
+  - mkl >=2024.2.2,<2025.0a0
   - sleef >=3.7,<4.0a0
   constrains:
-  - pytorch-gpu ==99999999
-  - pytorch 2.5.1 cpu_mkl_*_107
   - pytorch-cpu ==2.5.1
+  - pytorch 2.5.1 cpu_mkl_*_108
+  - pytorch-gpu ==99999999
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 53345678
-  timestamp: 1735189220828
-- conda: https://prefix.dev/conda-forge/osx-arm64/libtorch-2.5.1-cpu_generic_hf3ddf7c_7.conda
-  sha256: a06ddeb6b13b84f7fb2a9934962b390098b6194334ca880277193d9bcb227c7b
-  md5: 5deacd9c994edac6093bb8529eee85d7
+  size: 53384470
+  timestamp: 1736088424107
+- conda: https://prefix.dev/conda-forge/osx-arm64/libtorch-2.5.1-cpu_generic_hb579fdd_8.conda
+  sha256: 3e1306ca33285261dcb950ebba397dfe47ad36ae66d451746f107f5f9484fc12
+  md5: fcd141fc3b6e5df95f175360c32c09eb
   depends:
   - __osx >=11.0
   - libabseil * cxx17*
@@ -6746,7 +6751,7 @@ packages:
   - libcblas >=3.9.0,<4.0a0
   - libcxx >=18
   - liblapack >=3.9.0,<4.0a0
-  - libprotobuf >=5.28.2,<5.28.3.0a0
+  - libprotobuf >=5.28.3,<5.28.4.0a0
   - libuv >=1.49.2,<2.0a0
   - llvm-openmp >=18.1.8
   - numpy >=1.19,<3
@@ -6754,14 +6759,14 @@ packages:
   - python_abi 3.10.* *_cp310
   - sleef >=3.7,<4.0a0
   constrains:
+  - pytorch 2.5.1 cpu_generic_*_8
   - pytorch-gpu ==99999999
-  - pytorch 2.5.1 cpu_generic_*_7
   - pytorch-cpu ==2.5.1
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 28187542
-  timestamp: 1735123792745
+  size: 28266322
+  timestamp: 1736093877602
 - conda: https://prefix.dev/conda-forge/linux-64/libutf8proc-2.9.0-hb9d3cd8_1.conda
   sha256: 9794e6388e780c3310d46f773bbc924d4053375c3fcdb07a704b57f4616db928
   md5: 1e936bd23d737aac62a18e9a1e7f8b18
@@ -7334,19 +7339,19 @@ packages:
   - pkg:pypi/mdurl?source=hash-mapping
   size: 14465
   timestamp: 1733255681319
-- conda: https://prefix.dev/conda-forge/linux-64/mkl-2023.2.0-h84fe81f_50496.conda
-  sha256: 046073737bf73153b0c39e343b197cdf0b7867d336962369407465a17ea5979a
-  md5: 81d4a1a57d618adf0152db973d93b2ad
+- conda: https://prefix.dev/conda-forge/linux-64/mkl-2024.2.2-ha957f24_16.conda
+  sha256: 77906b0acead8f86b489da46f53916e624897338770dbf70b04b8f673c9273c1
+  md5: 1459379c79dda834673426504d52b319
   depends:
   - _openmp_mutex * *_llvm
   - _openmp_mutex >=4.5
-  - llvm-openmp >=17.0.3
+  - llvm-openmp >=19.1.2
   - tbb 2021.*
-  license: LicenseRef-ProprietaryIntel
+  license: LicenseRef-IntelSimplifiedSoftwareOct2022
   license_family: Proprietary
   purls: []
-  size: 164432797
-  timestamp: 1698350676814
+  size: 124718448
+  timestamp: 1730231808335
 - conda: https://prefix.dev/conda-forge/win-64/mkl-2024.2.2-h66d3029_15.conda
   sha256: 20e52b0389586d0b914a49cd286c5ccc9c47949bed60ca6df004d1d295f2edbd
   md5: 302dff2807f2927b3e9e0d19d60121de
@@ -7945,9 +7950,9 @@ packages:
   purls: []
   size: 240148
   timestamp: 1733817010335
-- conda: https://prefix.dev/conda-forge/linux-64/openssl-3.4.0-hb9d3cd8_0.conda
-  sha256: 814b9dff1847b132c676ee6cc1a8cb2d427320779b93e1b6d76552275c128705
-  md5: 23cc74f77eb99315c0360ec3533147a9
+- conda: https://prefix.dev/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda
+  sha256: f62f6bca4a33ca5109b6d571b052a394d836956d21b25b7ffd03376abf7a481f
+  md5: 4ce6875f75469b2757a65e10a5d05e31
   depends:
   - __glibc >=2.17,<3.0.a0
   - ca-certificates
@@ -7955,22 +7960,22 @@ packages:
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 2947466
-  timestamp: 1731377666602
-- conda: https://prefix.dev/conda-forge/osx-arm64/openssl-3.4.0-h39f12f2_0.conda
-  sha256: bd1d58ced46e75efa3b842c61642fd12272c69e9fe4d7261078bc082153a1d53
-  md5: df307bbc703324722df0293c9ca2e418
+  size: 2937158
+  timestamp: 1736086387286
+- conda: https://prefix.dev/conda-forge/osx-arm64/openssl-3.4.0-h81ee809_1.conda
+  sha256: 97772762abc70b3a537683ca9fc3ff3d6099eb64e4aba3b9c99e6fce48422d21
+  md5: 22f971393637480bda8c679f374d8861
   depends:
   - __osx >=11.0
   - ca-certificates
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 2935176
-  timestamp: 1731377561525
-- conda: https://prefix.dev/conda-forge/win-64/openssl-3.4.0-h2466b09_0.conda
-  sha256: e03045a0837e01ff5c75e9273a572553e7522290799807f918c917a9826a6484
-  md5: d0d805d9b5524a14efb51b3bff965e83
+  size: 2936415
+  timestamp: 1736086108693
+- conda: https://prefix.dev/conda-forge/win-64/openssl-3.4.0-ha4e3fda_1.conda
+  sha256: 519a06eaab7c878fbebb8cab98ea4a4465eafb1e9ed8c6ce67226068a80a92f0
+  md5: fb45308ba8bfe1abf1f4a27bad24a743
   depends:
   - ca-certificates
   - ucrt >=10.0.20348.0
@@ -7979,8 +7984,8 @@ packages:
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 8491156
-  timestamp: 1731379715927
+  size: 8462960
+  timestamp: 1736088436984
 - conda: https://prefix.dev/conda-forge/noarch/opt-einsum-3.4.0-hd8ed1ab_1.conda
   sha256: 8db3d841c72f184de69e1237b900a2d79c742e30e8378973814543bf987b6bc6
   md5: b94f689d8b1ce7dd212946e0331037ad
@@ -8002,13 +8007,13 @@ packages:
   - pkg:pypi/opt-einsum?source=hash-mapping
   size: 62479
   timestamp: 1733688053334
-- conda: https://prefix.dev/conda-forge/linux-64/orc-2.0.3-h97ab989_1.conda
-  sha256: 9de7e2746fde57c9b7f08ee87142014f6bb9b2d3a506839ea3e98baa99711576
-  md5: 2f46eae652623114e112df13fae311cf
+- conda: https://prefix.dev/conda-forge/linux-64/orc-2.0.3-h12ee42a_2.conda
+  sha256: dff5cc8023905782c86b3459055f26d4b97890e403b0698477c9fed15d8669cc
+  md5: 4f6f9f3f80354ad185e276c120eac3f0
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
-  - libprotobuf >=5.28.2,<5.28.3.0a0
+  - libprotobuf >=5.28.3,<5.28.4.0a0
   - libstdcxx >=13
   - libzlib >=1.3.1,<2.0a0
   - lz4-c >=1.10.0,<1.11.0a0
@@ -8018,15 +8023,15 @@ packages:
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 1189462
-  timestamp: 1733509801323
-- conda: https://prefix.dev/conda-forge/osx-arm64/orc-2.0.3-hbcee414_1.conda
-  sha256: e5e72438a3cd967ebc774070e8c49500d2d6d4175f349400b327fee75d3bfc05
-  md5: e808cf7819eaa1735c8790d7f9f482c7
+  size: 1188881
+  timestamp: 1735630209320
+- conda: https://prefix.dev/conda-forge/osx-arm64/orc-2.0.3-h0ff2369_2.conda
+  sha256: cca330695f3bdb8c0e46350c29cd4af3345865544e36f1d7c9ba9190ad22f5f4
+  md5: 24b1897c0d24afbb70704ba998793b78
   depends:
   - __osx >=11.0
   - libcxx >=18
-  - libprotobuf >=5.28.2,<5.28.3.0a0
+  - libprotobuf >=5.28.3,<5.28.4.0a0
   - libzlib >=1.3.1,<2.0a0
   - lz4-c >=1.10.0,<1.11.0a0
   - snappy >=1.2.1,<1.3.0a0
@@ -8035,8 +8040,8 @@ packages:
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 437391
-  timestamp: 1733510118673
+  size: 438520
+  timestamp: 1735630624140
 - conda: https://prefix.dev/conda-forge/win-64/orc-2.0.3-haf104fe_2.conda
   sha256: 35522ebcdd10f9d8600cbffa99efd59053bf2148965cfbb4575680e61c1d41dd
   md5: c8abacd8bdb242c9ba9c9a6c7ec09b01
@@ -8507,17 +8512,16 @@ packages:
   purls: []
   size: 110100
   timestamp: 1733195786147
-- conda: https://prefix.dev/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_1.conda
-  sha256: 0d6133545f268b2b89c2617c196fc791f365b538d4057ecd636d658c3b1e885d
-  md5: b38dc0206e2a530e5c2cf11dc086b31a
+- conda: https://prefix.dev/conda-forge/noarch/pygments-2.19.1-pyhd8ed1ab_0.conda
+  sha256: 28a3e3161390a9d23bc02b4419448f8d27679d9e2c250e29849e37749c8de86b
+  md5: 232fb4577b6687b2d503ef8e254270c9
   depends:
   - python >=3.9
   license: BSD-2-Clause
-  license_family: BSD
   purls:
   - pkg:pypi/pygments?source=hash-mapping
-  size: 876700
-  timestamp: 1733221731178
+  size: 888600
+  timestamp: 1736243563082
 - conda: https://prefix.dev/conda-forge/noarch/pylint-3.3.3-pyhd8ed1ab_0.conda
   sha256: a8192c823bfb6cdc57d2e12a8748ac1acb588c960c53e71c763f6359c5602e46
   md5: 5842a1fa3b9b4f9fe7069b9ca5ed068d
@@ -8828,9 +8832,9 @@ packages:
   purls: []
   size: 6716
   timestamp: 1723823166911
-- conda: https://prefix.dev/conda-forge/linux-64/pytorch-2.5.1-cpu_mkl_py310_h61efdf7_107.conda
-  sha256: a7c7311dc097b79bbe313961a446eb40d10466a4bb9e954bde5a97fa86c063a5
-  md5: 8c7e2eea5cb5a5f28bff495d2812195c
+- conda: https://prefix.dev/conda-forge/linux-64/pytorch-2.5.1-cpu_mkl_py310_h27a6d43_108.conda
+  sha256: ebd999d7d1612c87cdd15ecd893be759345712b7471937f9c917690210f419bb
+  md5: 9aec633b09fd455e84a637454068bfa8
   depends:
   - __glibc >=2.17,<3.0.a0
   - _openmp_mutex >=4.5
@@ -8841,11 +8845,11 @@ packages:
   - libabseil >=20240722.0,<20240723.0a0
   - libcblas >=3.9.0,<4.0a0
   - libgcc >=13
-  - libprotobuf >=5.28.2,<5.28.3.0a0
+  - libprotobuf >=5.28.3,<5.28.4.0a0
   - libstdcxx >=13
   - libtorch 2.5.1.*
   - libuv >=1.49.2,<2.0a0
-  - mkl >=2023.2.0,<2024.0a0
+  - mkl >=2024.2.2,<2025.0a0
   - networkx
   - numpy >=1.19,<3
   - python >=3.10,<3.11.0a0
@@ -8855,17 +8859,17 @@ packages:
   - sympy >=1.13.1,!=1.13.2
   - typing_extensions
   constrains:
-  - pytorch-gpu ==99999999
   - pytorch-cpu ==2.5.1
+  - pytorch-gpu ==99999999
   license: BSD-3-Clause
   license_family: BSD
   purls:
   - pkg:pypi/torch?source=hash-mapping
-  size: 34363522
-  timestamp: 1735190907555
-- conda: https://prefix.dev/conda-forge/osx-arm64/pytorch-2.5.1-cpu_generic_py310_hbae1486_7.conda
-  sha256: eeda4fd6288313c4c85d552af53fe6e01ad58b003c0237ecba3dda02b0d5847a
-  md5: 7137062a858e5988ba12271892db9158
+  size: 34307765
+  timestamp: 1736090964088
+- conda: https://prefix.dev/conda-forge/osx-arm64/pytorch-2.5.1-cpu_generic_py310_h3256795_8.conda
+  sha256: 2f548d400e5014028b89339889768093730e0cf2e3e5d7c7ece9eddde646a0a2
+  md5: 16985e88a59d007aa4d0a8b13f820e7c
   depends:
   - __osx >=11.0
   - filelock
@@ -8876,7 +8880,7 @@ packages:
   - libcblas >=3.9.0,<4.0a0
   - libcxx >=18
   - liblapack >=3.9.0,<4.0a0
-  - libprotobuf >=5.28.2,<5.28.3.0a0
+  - libprotobuf >=5.28.3,<5.28.4.0a0
   - libtorch 2.5.1.*
   - libuv >=1.49.2,<2.0a0
   - llvm-openmp >=18.1.8
@@ -8897,8 +8901,8 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/torch?source=hash-mapping
-  size: 22808644
-  timestamp: 1735124463647
+  size: 22573321
+  timestamp: 1736094550662
 - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
   sha256: 1a7d6b233f7e6e3bbcbad054c8fd51e690a67b129a899a056a5e45dd9f00cb41
   md5: 3eeeeb9e4827ace8c0c1419c85d590ad
@@ -9093,9 +9097,9 @@ packages:
   purls: []
   size: 355142
   timestamp: 1734415467047
-- conda: https://prefix.dev/conda-forge/linux-64/scipy-1.14.1-py310hfcf56fc_2.conda
-  sha256: a15008a51fd6b6dcaeb5563869ff0a8a015f1e0a8634a9d89d2c189eefbd7182
-  md5: b5d548b2a7cf8d0c74fc6c4bf42d1ca5
+- conda: https://prefix.dev/conda-forge/linux-64/scipy-1.15.0-py310hfa6ec8c_0.conda
+  sha256: 6d3a2e3a942f8a2b383c9a94a0a06c34b75511adbe93158c20427b659d0cafae
+  md5: 5af85973838c580ab7f4f72008c8b237
   depends:
   - __glibc >=2.17,<3.0.a0
   - libblas >=3.9.0,<4.0a0
@@ -9114,11 +9118,11 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 16791594
-  timestamp: 1733621553250
-- conda: https://prefix.dev/conda-forge/osx-arm64/scipy-1.14.1-py310hed58976_2.conda
-  sha256: 58bdf102dec51c487125efa354504b1bfbcc522503ed73d8981a0ba4be84beed
-  md5: d4c01f1e543b31787b1e88dfe6598e76
+  size: 18405029
+  timestamp: 1736010557840
+- conda: https://prefix.dev/conda-forge/osx-arm64/scipy-1.15.0-py310hd50a768_0.conda
+  sha256: 3a5f5a1f3a9b8c9e0fec02821638c8958de4a579f8637d5a66eeff682deb246d
+  md5: b1c91b7bfece72a5bf5f03dc0b7a3055
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -9137,11 +9141,11 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 14414516
-  timestamp: 1733621656037
-- conda: https://prefix.dev/conda-forge/win-64/scipy-1.14.1-py310hbd0dde3_2.conda
-  sha256: 761829fa9c91fdffff0ba5a1f56f7d4cc00bec71ca7fa06859dc7f5a98117273
-  md5: 72a2a7c264a8b48d113111756c2bbbb4
+  size: 15057534
+  timestamp: 1736010232496
+- conda: https://prefix.dev/conda-forge/win-64/scipy-1.15.0-py310h164493e_0.conda
+  sha256: c06c0722006125176005e77a9d739d19eb4003c315b0092fc5358a9005f6abb7
+  md5: eb011c11b5f60006cab90584b3a7053d
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
@@ -9158,8 +9162,8 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 15278855
-  timestamp: 1733622652965
+  size: 17162281
+  timestamp: 1736011322833
 - conda: https://prefix.dev/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda
   sha256: abb12e1dd515b13660aacb5d0fd43835bc2186cab472df25b7716cd65e095111
   md5: fc80f7995e396cbaeabd23cf46c413dc
@@ -9764,6 +9768,7 @@ packages:
   - platformdirs >=3.9.1,<5
   - python >=3.9
   license: MIT
+  license_family: MIT
   purls:
   - pkg:pypi/virtualenv?source=hash-mapping
   size: 3350367
diff --git a/pyproject.toml b/pyproject.toml
index 58c02fab..d139278e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -200,12 +200,13 @@ files = ["src", "tests"]
 python_version = "3.10"
 warn_unused_configs = true
 strict = true
-enable_error_code = ["ignore-without-code", "redundant-expr", "truthy-bool"]
-warn_unreachable = true
+enable_error_code = ["ignore-without-code", "truthy-bool"]
 disallow_untyped_defs = false
 disallow_incomplete_defs = false
 # data-apis/array-api#589
 disallow_any_expr = false
+# false positives with input validation
+disable_error_code = ["redundant-expr", "unreachable"]
 
 [[tool.mypy.overrides]]
 module = "array_api_extra.*"
@@ -228,6 +229,8 @@ reportExplicitAny = false
 reportUnknownMemberType = false
 # no array-api-compat type stubs
 reportUnknownVariableType = false
+# false positives for input validation
+reportUnreachable = false
 
 
 # Ruff
diff --git a/src/array_api_extra/_funcs.py b/src/array_api_extra/_funcs.py
index db0a1af1..2f4bc0f4 100644
--- a/src/array_api_extra/_funcs.py
+++ b/src/array_api_extra/_funcs.py
@@ -555,7 +555,7 @@ def sinc(x: Array, /, *, xp: ModuleType | None = None) -> Array:
 
 def pad(
     x: Array,
-    pad_width: int,
+    pad_width: int | tuple[int, int] | list[tuple[int, int]],
     mode: str = "constant",
     *,
     xp: ModuleType | None = None,
@@ -568,8 +568,12 @@ def pad(
     ----------
     x : array
         Input array.
-    pad_width : int
+    pad_width : int or tuple of ints or list of pairs of ints
         Pad the input array with this many elements from each side.
+        If a list of tuples, ``[(before_0, after_0), ... (before_N, after_N)]``,
+        each pair applies to the corresponding axis of ``x``.
+        A single tuple, ``(before, after)``, is equivalent to a list of ``x.ndim``
+        copies of this tuple.
     mode : str, optional
         Only "constant" mode is currently supported, which pads with
         the value passed to `constant_values`.
@@ -590,16 +594,44 @@ def pad(
 
     value = constant_values
 
+    # make pad_width a list of length-2 tuples of ints
+    x_ndim = cast(int, x.ndim)
+    if isinstance(pad_width, int):
+        pad_width = [(pad_width, pad_width)] * x_ndim
+    if isinstance(pad_width, tuple):
+        pad_width = [pad_width] * x_ndim
+
     if xp is None:
         xp = array_namespace(x)
 
+    # https://github.com/data-apis/array-api-extra/pull/82#discussion_r1905688819
+    slices: list[slice] = []  # type: ignore[no-any-explicit]
+    newshape: list[int] = []
+    for ax, w_tpl in enumerate(pad_width):
+        if len(w_tpl) != 2:
+            msg = f"expect a 2-tuple (before, after), got {w_tpl}."
+            raise ValueError(msg)
+
+        sh = x.shape[ax]
+        if w_tpl[0] == 0 and w_tpl[1] == 0:
+            sl = slice(None, None, None)
+        else:
+            start, stop = w_tpl
+            stop = None if stop == 0 else -stop
+
+            sl = slice(start, stop, None)
+            sh += w_tpl[0] + w_tpl[1]
+
+        newshape.append(sh)
+        slices.append(sl)
+
     padded = xp.full(
-        tuple(x + 2 * pad_width for x in x.shape),
+        tuple(newshape),
         fill_value=value,
         dtype=x.dtype,
         device=_compat.device(x),
     )
-    padded[(slice(pad_width, -pad_width, None),) * x.ndim] = x
+    padded[tuple(slices)] = x
     return padded
 
 
@@ -781,7 +813,7 @@ def _update_common(
             raise ValueError(msg)
 
         if copy not in (True, False, None):
-            msg = f"copy must be True, False, or None; got {copy!r}"  # pyright: ignore[reportUnreachable]
+            msg = f"copy must be True, False, or None; got {copy!r}"
             raise ValueError(msg)
 
         if copy is None:
diff --git a/tests/test_funcs.py b/tests/test_funcs.py
index 938a4f31..2fc9041a 100644
--- a/tests/test_funcs.py
+++ b/tests/test_funcs.py
@@ -416,3 +416,22 @@ def test_device(self):
 
     def test_xp(self):
         assert_array_equal(pad(xp.asarray(0), 1, xp=xp), xp.zeros(3))
+
+    def test_tuple_width(self):
+        a = xp.reshape(xp.arange(12), (3, 4))
+        padded = pad(a, (1, 0))
+        assert padded.shape == (4, 5)
+
+        padded = pad(a, (1, 2))
+        assert padded.shape == (6, 7)
+
+        with pytest.raises(ValueError, match="expect a 2-tuple"):
+            pad(a, [(1, 2, 3)])  # type: ignore[list-item]  # pyright: ignore[reportArgumentType]
+
+    def test_list_of_tuples_width(self):
+        a = xp.reshape(xp.arange(12), (3, 4))
+        padded = pad(a, [(1, 0), (0, 2)])
+        assert padded.shape == (4, 6)
+
+        padded = pad(a, [(1, 0), (0, 0)])
+        assert padded.shape == (4, 4)

From bdb4df04721c26337f8d18d3acd9010dff96b0ad Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Tue, 7 Jan 2025 22:21:15 +0000
Subject: [PATCH 05/14] MAINT: use some enums (#84)

---
 pixi.lock                     | 100 +++++++++++++++++-----------------
 pyproject.toml                |   5 ++
 src/array_api_extra/_funcs.py |  52 +++++++++++++-----
 tests/test_at.py              |  63 ++++++++++++---------
 4 files changed, 129 insertions(+), 91 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index 23fcb3ee..5d3612f7 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -170,7 +170,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/linux-64/snappy-1.2.1-h8bd8927_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://prefix.dev/conda-forge/noarch/sparse-0.15.4-pyh267e887_1.conda
-      - conda: https://prefix.dev/conda-forge/noarch/sympy-1.13.3-pyh2585a3b_104.conda
+      - conda: https://prefix.dev/conda-forge/noarch/sympy-1.13.3-pyh2585a3b_105.conda
       - conda: https://prefix.dev/conda-forge/linux-64/tbb-2021.13.0-hceb3a55_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/tblib-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
@@ -343,7 +343,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/osx-arm64/snappy-1.2.1-h98b9ce2_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://prefix.dev/conda-forge/noarch/sparse-0.15.4-pyh267e887_1.conda
-      - conda: https://prefix.dev/conda-forge/noarch/sympy-1.13.3-pyh2585a3b_104.conda
+      - conda: https://prefix.dev/conda-forge/noarch/sympy-1.13.3-pyh2585a3b_105.conda
       - conda: https://prefix.dev/conda-forge/noarch/tblib-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/tk-8.6.13-h5083fa2_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_1.conda
@@ -675,7 +675,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/readline-8.2-h8228510_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
@@ -713,7 +713,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/readline-8.2-h92ec313_1.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/tk-8.6.13-h5083fa2_1.conda
@@ -751,7 +751,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/tbb-2021.13.0-h62715c5_1.conda
       - conda: https://prefix.dev/conda-forge/win-64/tk-8.6.13-h5226925_1.conda
@@ -788,7 +788,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda
       - conda: https://prefix.dev/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/readline-8.2-h8228510_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
@@ -806,7 +806,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/osx-arm64/libzlib-1.3.1-h8359307_2.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/ncurses-6.5-h7bae524_1.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/openssl-3.4.0-h81ee809_1.conda
-      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/readline-8.2-h92ec313_1.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/tk-8.6.13-h5083fa2_1.conda
@@ -823,7 +823,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/win-64/libsqlite-3.47.2-h67fdade_0.conda
       - conda: https://prefix.dev/conda-forge/win-64/libzlib-1.3.1-h2466b09_2.conda
       - conda: https://prefix.dev/conda-forge/win-64/openssl-3.4.0-ha4e3fda_1.conda
-      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/tk-8.6.13-h5226925_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda
@@ -931,7 +931,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/pyyaml-6.0.2-py313h536fd9c_1.conda
@@ -1055,7 +1055,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/pyyaml-6.0.2-py313h20a7fcf_1.conda
@@ -1175,7 +1175,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pysocks-1.7.1-pyh09c184e_7.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/win-64/pyyaml-6.0.2-py313ha7868ed_1.conda
@@ -1269,7 +1269,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pygments-2.19.1-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/pyyaml-6.0.2-py313h536fd9c_1.conda
@@ -1333,7 +1333,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pygments-2.19.1-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
-      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/pyyaml-6.0.2-py313h20a7fcf_1.conda
@@ -1395,7 +1395,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pygments-2.19.1-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pysocks-1.7.1-pyh09c184e_7.conda
-      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/win-64/pyyaml-6.0.2-py313ha7868ed_1.conda
@@ -1504,7 +1504,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pylint-3.3.3-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/pyyaml-6.0.2-py313h536fd9c_1.conda
@@ -1600,7 +1600,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pylint-3.3.3-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/pyyaml-6.0.2-py313h20a7fcf_1.conda
@@ -1694,7 +1694,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pylint-3.3.3-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pysocks-1.7.1-pyh09c184e_7.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/win-64/pyyaml-6.0.2-py313ha7868ed_1.conda
@@ -1770,7 +1770,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/readline-8.2-h8228510_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
@@ -1808,7 +1808,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
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-      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/python_abi-3.13-5_cp313.conda
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@@ -1846,7 +1846,7 @@ environments:
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-      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_102_cp313.conda
+      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_103_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/tbb-2021.13.0-h62715c5_1.conda
       - conda: https://prefix.dev/conda-forge/win-64/tk-8.6.13-h5226925_1.conda
@@ -2043,7 +2043,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/noarch/sparse-0.15.4-pyh267e887_1.conda
-      - conda: https://prefix.dev/conda-forge/noarch/sympy-1.13.3-pyh2585a3b_104.conda
+      - conda: https://prefix.dev/conda-forge/noarch/sympy-1.13.3-pyh2585a3b_105.conda
       - conda: https://prefix.dev/conda-forge/linux-64/tbb-2021.13.0-hceb3a55_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/tblib-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
@@ -2216,7 +2216,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/osx-arm64/snappy-1.2.1-h98b9ce2_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://prefix.dev/conda-forge/noarch/sparse-0.15.4-pyh267e887_1.conda
-      - conda: https://prefix.dev/conda-forge/noarch/sympy-1.13.3-pyh2585a3b_104.conda
+      - conda: https://prefix.dev/conda-forge/noarch/sympy-1.13.3-pyh2585a3b_105.conda
       - conda: https://prefix.dev/conda-forge/noarch/tblib-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/tk-8.6.13-h5083fa2_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_1.conda
@@ -2469,7 +2469,7 @@ packages:
 - pypi: .
   name: array-api-extra
   version: 0.5.1.dev0
-  sha256: 844f582d7ea2045c164b04200b3bc32dd7f4c868cad9da16621a743f0d0bf381
+  sha256: d8083ec4ee363a390f2afd622df56756078ce3ba5f1f67e88867111a2d306b57
   requires_dist:
   - array-api-compat>=1.10.0,<2
   - furo>=2023.8.17 ; extra == 'docs'
@@ -8627,10 +8627,10 @@ packages:
   purls: []
   size: 25199631
   timestamp: 1733409331823
-- conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_102_cp313.conda
-  build_number: 102
-  sha256: b10f25c5edc203d15b3f54861bec4868b8200ebc16c8cbc82202e4c8da2b183e
-  md5: 6e7535f1d1faf524e9210d2689b3149b
+- conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_103_cp313.conda
+  build_number: 103
+  sha256: 365f9294ba2d36513f85085b95b705d4d02110a6d11ec4b683f5a10d37dde020
+  md5: 899de8f76e198a36bc5a36132a6db887
   depends:
   - __glibc >=2.17,<3.0.a0
   - bzip2 >=1.0.8,<2.0a0
@@ -8640,7 +8640,7 @@ packages:
   - libgcc >=13
   - liblzma >=5.6.3,<6.0a0
   - libmpdec >=4.0.0,<5.0a0
-  - libsqlite >=3.47.0,<4.0a0
+  - libsqlite >=3.47.2,<4.0a0
   - libuuid >=2.38.1,<3.0a0
   - libzlib >=1.3.1,<2.0a0
   - ncurses >=6.5,<7.0a0
@@ -8651,8 +8651,8 @@ packages:
   - tzdata
   license: Python-2.0
   purls: []
-  size: 33263183
-  timestamp: 1733436074842
+  size: 33262248
+  timestamp: 1736273267565
 - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.10.16-h870587a_1_cpython.conda
   build_number: 1
   sha256: cd617b15712c4f9316b22c75459311ed106ccb0659c0bf36e281a9162b4e2d95
@@ -8675,10 +8675,10 @@ packages:
   purls: []
   size: 12372048
   timestamp: 1733408850559
-- conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_102_cp313.conda
-  build_number: 102
-  sha256: 0379adf6bb35ca47036860983701e8f6fae89c028d422f2b9439f3110893bc24
-  md5: 8c65c1dfc98312ef8666dbb7c7fc47ca
+- conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_103_cp313.conda
+  build_number: 103
+  sha256: 0ebda5e85d5d37f0af1dae8ad500ef298a547ec790cdbfdb271ffbe4d2c56770
+  md5: b43efdca6d96347894527844a4cdd5c8
   depends:
   - __osx >=11.0
   - bzip2 >=1.0.8,<2.0a0
@@ -8686,7 +8686,7 @@ packages:
   - libffi >=3.4,<4.0a0
   - liblzma >=5.6.3,<6.0a0
   - libmpdec >=4.0.0,<5.0a0
-  - libsqlite >=3.47.0,<4.0a0
+  - libsqlite >=3.47.2,<4.0a0
   - libzlib >=1.3.1,<2.0a0
   - ncurses >=6.5,<7.0a0
   - openssl >=3.4.0,<4.0a0
@@ -8696,8 +8696,8 @@ packages:
   - tzdata
   license: Python-2.0
   purls: []
-  size: 12905237
-  timestamp: 1733433280639
+  size: 11727435
+  timestamp: 1736271845822
 - conda: https://prefix.dev/conda-forge/win-64/python-3.10.16-h37870fc_1_cpython.conda
   build_number: 1
   sha256: 3392db6a7a90864d3fd1ce281859a49e27ee68121b63eece2ae6f1dbb2a8aaf1
@@ -8720,17 +8720,17 @@ packages:
   purls: []
   size: 16061214
   timestamp: 1733408154785
-- conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_102_cp313.conda
-  build_number: 102
-  sha256: ee41eda85ebc3a257a3b21a76d255d986b08a285d891e418cbfb70113ee14684
-  md5: 70568ba8bbd5f0c7b830e690775eb8b7
+- conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_103_cp313.conda
+  build_number: 103
+  sha256: 1517cbdf453557c7445c05b77c23da95a8b45586b270c6534f822c5b64bfeeaf
+  md5: 884ad80bf8454b8feff00b1f77a3dda9
   depends:
   - bzip2 >=1.0.8,<2.0a0
   - libexpat >=2.6.4,<3.0a0
   - libffi >=3.4,<4.0a0
   - liblzma >=5.6.3,<6.0a0
   - libmpdec >=4.0.0,<5.0a0
-  - libsqlite >=3.47.0,<4.0a0
+  - libsqlite >=3.47.2,<4.0a0
   - libzlib >=1.3.1,<2.0a0
   - openssl >=3.4.0,<4.0a0
   - python_abi 3.13.* *_cp313
@@ -8741,8 +8741,8 @@ packages:
   - vc14_runtime >=14.29.30139
   license: Python-2.0
   purls: []
-  size: 16753813
-  timestamp: 1733433028707
+  size: 16841405
+  timestamp: 1736270799704
 - conda: https://prefix.dev/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda
   sha256: a50052536f1ef8516ed11a844f9413661829aa083304dc624c5925298d078d79
   md5: 5ba79d7c71f03c678c8ead841f347d6e
@@ -9440,21 +9440,21 @@ packages:
   - pkg:pypi/stack-data?source=hash-mapping
   size: 26988
   timestamp: 1733569565672
-- conda: https://prefix.dev/conda-forge/noarch/sympy-1.13.3-pyh2585a3b_104.conda
-  sha256: 35b2620d109c8a01a301222b4f546690316b7ed61d5c0325ec4a317fa27ea8d7
-  md5: 68085d736d2b2f54498832b65059875d
+- conda: https://prefix.dev/conda-forge/noarch/sympy-1.13.3-pyh2585a3b_105.conda
+  sha256: 929d939c5a8bcdc10a17501890918da68cf14a5883b36fddf77b8f0fbf040be2
+  md5: 254cd5083ffa04d96e3173397a3d30f4
   depends:
   - __unix
   - cpython
   - gmpy2 >=2.0.8
   - mpmath >=0.19
-  - python >=3.8
+  - python >=3.9
   license: BSD-3-Clause
   license_family: BSD
   purls:
   - pkg:pypi/sympy?source=hash-mapping
-  size: 4561387
-  timestamp: 1728484644967
+  size: 4523617
+  timestamp: 1736248315124
 - conda: https://prefix.dev/conda-forge/noarch/tabulate-0.9.0-pyhd8ed1ab_2.conda
   sha256: 090023bddd40d83468ef86573976af8c514f64119b2bd814ee63a838a542720a
   md5: 959484a66b4b76befcddc4fa97c95567
diff --git a/pyproject.toml b/pyproject.toml
index d139278e..dadc311f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -232,6 +232,11 @@ reportUnknownVariableType = false
 # false positives for input validation
 reportUnreachable = false
 
+executionEnvironments = [
+    { root = "tests", reportPrivateUsage = false },
+    { root = "src" },
+]
+
 
 # Ruff
 
diff --git a/src/array_api_extra/_funcs.py b/src/array_api_extra/_funcs.py
index 2f4bc0f4..0d8bb162 100644
--- a/src/array_api_extra/_funcs.py
+++ b/src/array_api_extra/_funcs.py
@@ -6,8 +6,9 @@
 import operator
 import warnings
 from collections.abc import Callable
+from enum import Enum
 from types import ModuleType
-from typing import ClassVar, Literal, cast
+from typing import ClassVar, cast
 
 from ._lib import _compat, _utils
 from ._lib._compat import (
@@ -635,6 +636,31 @@ def pad(
     return padded
 
 
+class _AtOp(Enum):
+    """Operations for use in `xpx.at`."""
+
+    SET = "set"
+    ADD = "add"
+    SUBTRACT = "subtract"
+    MULTIPLY = "multiply"
+    DIVIDE = "divide"
+    POWER = "power"
+    MIN = "min"
+    MAX = "max"
+
+    # @override from Python 3.12
+    def __str__(self) -> str:  # type: ignore[explicit-override]  # pyright: ignore[reportImplicitOverride]
+        """
+        Return string representation (useful for pytest logs).
+
+        Returns
+        -------
+        str
+            The operation's name.
+        """
+        return self.value
+
+
 _undef = object()
 
 
@@ -784,7 +810,7 @@ def __getitem__(self, idx: Index, /) -> at:  # numpydoc ignore=PR01,RT01
 
     def _update_common(
         self,
-        at_op: str,
+        at_op: _AtOp,
         y: Array,
         /,
         copy: bool | None,
@@ -827,7 +853,7 @@ def _update_common(
         if copy:
             if is_jax_array(x):
                 # Use JAX's at[]
-                func = cast(Callable[[Array], Array], getattr(x.at[idx], at_op))
+                func = cast(Callable[[Array], Array], getattr(x.at[idx], at_op.value))
                 return func(y), None
             # Emulate at[] behaviour for non-JAX arrays
             # with a copy followed by an update
@@ -856,7 +882,7 @@ def set(
         xp: ModuleType | None = None,
     ) -> Array:  # numpydoc ignore=PR01,RT01
         """Apply ``x[idx] = y`` and return the update array."""
-        res, x = self._update_common("set", y, copy=copy, xp=xp)
+        res, x = self._update_common(_AtOp.SET, y, copy=copy, xp=xp)
         if res is not None:
             return res
         assert x is not None
@@ -865,9 +891,7 @@ def set(
 
     def _iop(
         self,
-        at_op: Literal[
-            "set", "add", "subtract", "multiply", "divide", "power", "min", "max"
-        ],
+        at_op: _AtOp,
         elwise_op: Callable[[Array, Array], Array],
         y: Array,
         /,
@@ -903,7 +927,7 @@ def add(
         # Note for this and all other methods based on _iop:
         # operator.iadd and operator.add subtly differ in behaviour, as
         # only iadd will trigger exceptions when y has an incompatible dtype.
-        return self._iop("add", operator.iadd, y, copy=copy, xp=xp)
+        return self._iop(_AtOp.ADD, operator.iadd, y, copy=copy, xp=xp)
 
     def subtract(
         self,
@@ -913,7 +937,7 @@ def subtract(
         xp: ModuleType | None = None,
     ) -> Array:  # numpydoc ignore=PR01,RT01
         """Apply ``x[idx] -= y`` and return the updated array."""
-        return self._iop("subtract", operator.isub, y, copy=copy, xp=xp)
+        return self._iop(_AtOp.SUBTRACT, operator.isub, y, copy=copy, xp=xp)
 
     def multiply(
         self,
@@ -923,7 +947,7 @@ def multiply(
         xp: ModuleType | None = None,
     ) -> Array:  # numpydoc ignore=PR01,RT01
         """Apply ``x[idx] *= y`` and return the updated array."""
-        return self._iop("multiply", operator.imul, y, copy=copy, xp=xp)
+        return self._iop(_AtOp.MULTIPLY, operator.imul, y, copy=copy, xp=xp)
 
     def divide(
         self,
@@ -933,7 +957,7 @@ def divide(
         xp: ModuleType | None = None,
     ) -> Array:  # numpydoc ignore=PR01,RT01
         """Apply ``x[idx] /= y`` and return the updated array."""
-        return self._iop("divide", operator.itruediv, y, copy=copy, xp=xp)
+        return self._iop(_AtOp.DIVIDE, operator.itruediv, y, copy=copy, xp=xp)
 
     def power(
         self,
@@ -943,7 +967,7 @@ def power(
         xp: ModuleType | None = None,
     ) -> Array:  # numpydoc ignore=PR01,RT01
         """Apply ``x[idx] **= y`` and return the updated array."""
-        return self._iop("power", operator.ipow, y, copy=copy, xp=xp)
+        return self._iop(_AtOp.POWER, operator.ipow, y, copy=copy, xp=xp)
 
     def min(
         self,
@@ -956,7 +980,7 @@ def min(
         if xp is None:
             xp = array_namespace(self._x)
         y = xp.asarray(y)
-        return self._iop("min", xp.minimum, y, copy=copy, xp=xp)
+        return self._iop(_AtOp.MIN, xp.minimum, y, copy=copy, xp=xp)
 
     def max(
         self,
@@ -969,4 +993,4 @@ def max(
         if xp is None:
             xp = array_namespace(self._x)
         y = xp.asarray(y)
-        return self._iop("max", xp.maximum, y, copy=copy, xp=xp)
+        return self._iop(_AtOp.MAX, xp.maximum, y, copy=copy, xp=xp)
diff --git a/tests/test_at.py b/tests/test_at.py
index f50b9248..bd4e444a 100644
--- a/tests/test_at.py
+++ b/tests/test_at.py
@@ -1,5 +1,6 @@
 from collections.abc import Callable, Generator
 from contextlib import contextmanager
+from enum import Enum
 from importlib import import_module
 from typing import cast
 
@@ -13,31 +14,37 @@
 )
 
 from array_api_extra import at
+from array_api_extra._funcs import _AtOp
 from array_api_extra._lib._typing import Array
 
-all_libraries = (
-    "array_api_strict",
-    "numpy",
-    "numpy_readonly",
-    "cupy",
-    "torch",
-    "dask.array",
-    "sparse",
-    "jax.numpy",
-)
+
+class Library(Enum):
+    ARRAY_API_STRICT = "array_api_strict"
+    NUMPY = "numpy"
+    NUMPY_READONLY = "numpy_readonly"
+    CUPY = "cupy"
+    TORCH = "torch"
+    DASK_ARRAY = "dask.array"
+    SPARSE = "sparse"
+    JAX_NUMPY = "jax.numpy"
+
+    # @override from Python 3.12
+    def __str__(self) -> str:  # type: ignore[explicit-override]  # pyright: ignore[reportImplicitOverride]
+        return self.value
 
 
-@pytest.fixture(params=all_libraries)
+@pytest.fixture(params=tuple(Library))
 def array(request: pytest.FixtureRequest) -> Array:
     library = request.param
-    if library == "numpy_readonly":
+    if library is Library.NUMPY_READONLY:
         x = np.asarray([10.0, 20.0, 30.0])
         x.flags.writeable = False
     else:
+        library_name = library.value
         try:
-            lib = import_module(library)
+            lib = import_module(library_name)
         except ImportError:
-            pytest.skip(f"{library} is not installed")
+            pytest.skip(f"{library_name} is not installed")
         x = lib.asarray([10.0, 20.0, 30.0])
     return x
 
@@ -79,21 +86,21 @@ def assert_copy(array: Array, copy: bool | None) -> Generator[None, None, None]:
 @pytest.mark.parametrize(
     ("op", "arg", "expect"),
     [
-        ("set", 40.0, [10.0, 40.0, 40.0]),
-        ("add", 40.0, [10.0, 60.0, 70.0]),
-        ("subtract", 100.0, [10.0, -80.0, -70.0]),
-        ("multiply", 2.0, [10.0, 40.0, 60.0]),
-        ("divide", 2.0, [10.0, 10.0, 15.0]),
-        ("power", 2.0, [10.0, 400.0, 900.0]),
-        ("min", 25.0, [10.0, 20.0, 25.0]),
-        ("max", 25.0, [10.0, 25.0, 30.0]),
+        (_AtOp.SET, 40.0, [10.0, 40.0, 40.0]),
+        (_AtOp.ADD, 40.0, [10.0, 60.0, 70.0]),
+        (_AtOp.SUBTRACT, 100.0, [10.0, -80.0, -70.0]),
+        (_AtOp.MULTIPLY, 2.0, [10.0, 40.0, 60.0]),
+        (_AtOp.DIVIDE, 2.0, [10.0, 10.0, 15.0]),
+        (_AtOp.POWER, 2.0, [10.0, 400.0, 900.0]),
+        (_AtOp.MIN, 25.0, [10.0, 20.0, 25.0]),
+        (_AtOp.MAX, 25.0, [10.0, 25.0, 30.0]),
     ],
 )
 def test_update_ops(
     array: Array,
     kwargs: dict[str, bool | None],
     expect_copy: bool | None,
-    op: str,
+    op: _AtOp,
     arg: float,
     expect: list[float],
 ):
@@ -101,7 +108,7 @@ def test_update_ops(
         pytest.skip("at() does not support updates on sparse arrays")
 
     with assert_copy(array, expect_copy):
-        func = cast(Callable[..., Array], getattr(at(array)[1:], op))  # type: ignore[no-any-explicit]
+        func = cast(Callable[..., Array], getattr(at(array)[1:], op.value))  # type: ignore[no-any-explicit]
         y = func(arg, **kwargs)
         assert isinstance(y, type(array))
         assert_array_equal(y, expect)
@@ -141,8 +148,10 @@ def test_alternate_index_syntax():
 
 
 @pytest.mark.parametrize("copy", [True, False])
-@pytest.mark.parametrize("op", ["add", "subtract", "multiply", "divide", "power"])
-def test_iops_incompatible_dtype(op: str, copy: bool):
+@pytest.mark.parametrize(
+    "op", [_AtOp.ADD, _AtOp.SUBTRACT, _AtOp.MULTIPLY, _AtOp.DIVIDE, _AtOp.POWER]
+)
+def test_iops_incompatible_dtype(op: _AtOp, copy: bool):
     """Test that at() replicates the backend's behaviour for
     in-place operations with incompatible dtypes.
 
@@ -155,6 +164,6 @@ def test_iops_incompatible_dtype(op: str, copy: bool):
     to dtype('int64') with casting rule 'same_kind'
     """
     a = np.asarray([2, 4])
-    func = cast(Callable[..., Array], getattr(at(a)[:], op))  # type: ignore[no-any-explicit]
+    func = cast(Callable[..., Array], getattr(at(a)[:], op.value))  # type: ignore[no-any-explicit]
     with pytest.raises(TypeError, match="Cannot cast ufunc"):
         func(1.1, copy=copy)

From 5eaf84eaafd4174d94fde72d8111573377338292 Mon Sep 17 00:00:00 2001
From: Guido Imperiale <crusaderky@gmail.com>
Date: Wed, 8 Jan 2025 12:37:43 +0000
Subject: [PATCH 06/14] TST: use pytest.importorskip (#85)

---
 tests/test_at.py | 9 ++-------
 1 file changed, 2 insertions(+), 7 deletions(-)

diff --git a/tests/test_at.py b/tests/test_at.py
index bd4e444a..24d356c0 100644
--- a/tests/test_at.py
+++ b/tests/test_at.py
@@ -1,7 +1,6 @@
 from collections.abc import Callable, Generator
 from contextlib import contextmanager
 from enum import Enum
-from importlib import import_module
 from typing import cast
 
 import numpy as np
@@ -40,12 +39,8 @@ def array(request: pytest.FixtureRequest) -> Array:
         x = np.asarray([10.0, 20.0, 30.0])
         x.flags.writeable = False
     else:
-        library_name = library.value
-        try:
-            lib = import_module(library_name)
-        except ImportError:
-            pytest.skip(f"{library_name} is not installed")
-        x = lib.asarray([10.0, 20.0, 30.0])
+        xp = pytest.importorskip(library.value)
+        x = xp.asarray([10.0, 20.0, 30.0])
     return x
 
 

From 17084826a7715d4c4e82d6e92544e1cf05237efa Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Wed, 8 Jan 2025 15:49:01 +0000
Subject: [PATCH 07/14] MAINT: update comment with upstream issue

---
 src/array_api_extra/_funcs.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/array_api_extra/_funcs.py b/src/array_api_extra/_funcs.py
index 0d8bb162..5efbe315 100644
--- a/src/array_api_extra/_funcs.py
+++ b/src/array_api_extra/_funcs.py
@@ -605,7 +605,7 @@ def pad(
     if xp is None:
         xp = array_namespace(x)
 
-    # https://github.com/data-apis/array-api-extra/pull/82#discussion_r1905688819
+    # https://github.com/python/typeshed/issues/13376
     slices: list[slice] = []  # type: ignore[no-any-explicit]
     newshape: list[int] = []
     for ax, w_tpl in enumerate(pad_width):

From cc9f4030b7b1cf914cb354f5707539a665763f2f Mon Sep 17 00:00:00 2001
From: Guido Imperiale <crusaderky@gmail.com>
Date: Tue, 14 Jan 2025 15:51:34 +0000
Subject: [PATCH 08/14] TST/BUG: run all tests on all backends; fix
 backend-specific bugs (#88)

---
 .pre-commit-config.yaml              |   2 +-
 pixi.lock                            |   2 +-
 pyproject.toml                       |   3 +-
 src/array_api_extra/_funcs.py        |  16 +-
 src/array_api_extra/_lib/_compat.py  |  15 ++
 src/array_api_extra/_lib/_compat.pyi |   5 +
 src/array_api_extra/_lib/_testing.py | 144 ++++++++++++++
 src/array_api_extra/_lib/_utils.py   |   4 +-
 tests/__init__.py                    |   1 +
 tests/conftest.py                    |  86 ++++++++
 tests/test_at.py                     |  54 ++---
 tests/test_funcs.py                  | 287 ++++++++++++++-------------
 tests/test_testing.py                |  68 +++++++
 tests/test_utils.py                  |  33 +--
 vendor_tests/test_vendor.py          |  10 +
 15 files changed, 529 insertions(+), 201 deletions(-)
 create mode 100644 src/array_api_extra/_lib/_testing.py
 create mode 100644 tests/__init__.py
 create mode 100644 tests/conftest.py
 create mode 100644 tests/test_testing.py

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 42e22062..655be69a 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -44,9 +44,9 @@ repos:
   - repo: https://github.com/astral-sh/ruff-pre-commit
     rev: "v0.8.2"
     hooks:
+      - id: ruff-format
       - id: ruff
         args: ["--fix", "--show-fixes"]
-      - id: ruff-format
 
   - repo: https://github.com/codespell-project/codespell
     rev: "v2.3.0"
diff --git a/pixi.lock b/pixi.lock
index 5d3612f7..2790b207 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -2469,7 +2469,7 @@ packages:
 - pypi: .
   name: array-api-extra
   version: 0.5.1.dev0
-  sha256: d8083ec4ee363a390f2afd622df56756078ce3ba5f1f67e88867111a2d306b57
+  sha256: 8b4533cc75534abb69425a1e5c9f6a4ab96949562d2e90d41ea0e22187a02c1b
   requires_dist:
   - array-api-compat>=1.10.0,<2
   - furo>=2023.8.17 ; extra == 'docs'
diff --git a/pyproject.toml b/pyproject.toml
index dadc311f..4f5ddac0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -180,7 +180,7 @@ xfail_strict = true
 filterwarnings = ["error"]
 log_cli_level = "INFO"
 testpaths = ["tests"]
-
+markers = ["skip_xp_backend(library, *, reason=None): Skip test for a specific backend"]
 
 # Coverage
 
@@ -315,6 +315,7 @@ checks = [
 exclude = [ # don't report on objects that match any of these regex
     '.*test_at.*',
     '.*test_funcs.*',
+    '.*test_testing.*',
     '.*test_utils.*',
     '.*test_version.*',
     '.*test_vendor.*',
diff --git a/src/array_api_extra/_funcs.py b/src/array_api_extra/_funcs.py
index 5efbe315..7502561a 100644
--- a/src/array_api_extra/_funcs.py
+++ b/src/array_api_extra/_funcs.py
@@ -214,8 +214,12 @@ def create_diagonal(
         raise ValueError(err_msg)
     n = x.shape[0] + abs(offset)
     diag = xp.zeros(n**2, dtype=x.dtype, device=_compat.device(x))
-    i = offset if offset >= 0 else abs(offset) * n
-    diag[i : min(n * (n - offset), diag.shape[0]) : n + 1] = x
+
+    start = offset if offset >= 0 else abs(offset) * n
+    stop = min(n * (n - offset), diag.shape[0])
+    step = n + 1
+    diag = at(diag)[start:stop:step].set(x)
+
     return xp.reshape(diag, (n, n))
 
 
@@ -407,9 +411,8 @@ def kron(a: Array, b: Array, /, *, xp: ModuleType | None = None) -> Array:
     result = xp.multiply(a_arr, b_arr)
 
     # Reshape back and return
-    a_shape = xp.asarray(a_shape)
-    b_shape = xp.asarray(b_shape)
-    return xp.reshape(result, tuple(xp.multiply(a_shape, b_shape)))
+    res_shape = tuple(a_s * b_s for a_s, b_s in zip(a_shape, b_shape, strict=True))
+    return xp.reshape(result, res_shape)
 
 
 def setdiff1d(
@@ -632,8 +635,7 @@ def pad(
         dtype=x.dtype,
         device=_compat.device(x),
     )
-    padded[tuple(slices)] = x
-    return padded
+    return at(padded, tuple(slices)).set(x)
 
 
 class _AtOp(Enum):
diff --git a/src/array_api_extra/_lib/_compat.py b/src/array_api_extra/_lib/_compat.py
index a24175da..7d843f19 100644
--- a/src/array_api_extra/_lib/_compat.py
+++ b/src/array_api_extra/_lib/_compat.py
@@ -6,20 +6,35 @@
     from ..._array_api_compat_vendor import (  # pyright: ignore[reportMissingImports]
         array_namespace,
         device,
+        is_cupy_namespace,
         is_jax_array,
+        is_jax_namespace,
+        is_pydata_sparse_namespace,
+        is_torch_namespace,
         is_writeable_array,
+        size,
     )
 except ImportError:
     from array_api_compat import (  # pyright: ignore[reportMissingTypeStubs]
         array_namespace,
         device,
+        is_cupy_namespace,
         is_jax_array,
+        is_jax_namespace,
+        is_pydata_sparse_namespace,
+        is_torch_namespace,
         is_writeable_array,
+        size,
     )
 
 __all__ = [
     "array_namespace",
     "device",
+    "is_cupy_namespace",
     "is_jax_array",
+    "is_jax_namespace",
+    "is_pydata_sparse_namespace",
+    "is_torch_namespace",
     "is_writeable_array",
+    "size",
 ]
diff --git a/src/array_api_extra/_lib/_compat.pyi b/src/array_api_extra/_lib/_compat.pyi
index 4d06a7f1..8532584c 100644
--- a/src/array_api_extra/_lib/_compat.pyi
+++ b/src/array_api_extra/_lib/_compat.pyi
@@ -18,5 +18,10 @@ def array_namespace(
     use_compat: bool | None = None,
 ) -> ArrayModule: ...
 def device(x: Array, /) -> Device: ...
+def is_cupy_namespace(x: object, /) -> bool: ...
 def is_jax_array(x: object, /) -> bool: ...
+def is_jax_namespace(x: object, /) -> bool: ...
+def is_pydata_sparse_namespace(x: object, /) -> bool: ...
+def is_torch_namespace(x: object, /) -> bool: ...
 def is_writeable_array(x: object, /) -> bool: ...
+def size(x: Array, /) -> int | None: ...
diff --git a/src/array_api_extra/_lib/_testing.py b/src/array_api_extra/_lib/_testing.py
new file mode 100644
index 00000000..b866012f
--- /dev/null
+++ b/src/array_api_extra/_lib/_testing.py
@@ -0,0 +1,144 @@
+"""
+Testing utilities.
+
+Note that this is private API; don't expect it to be stable.
+"""
+
+from ._compat import (
+    array_namespace,
+    is_cupy_namespace,
+    is_pydata_sparse_namespace,
+    is_torch_namespace,
+)
+from ._typing import Array, ModuleType
+
+__all__ = ["xp_assert_close", "xp_assert_equal"]
+
+
+def _check_ns_shape_dtype(
+    actual: Array, desired: Array
+) -> ModuleType:  # numpydoc ignore=RT03
+    """
+    Assert that namespace, shape and dtype of the two arrays match.
+
+    Parameters
+    ----------
+    actual : Array
+        The array produced by the tested function.
+    desired : Array
+        The expected array (typically hardcoded).
+
+    Returns
+    -------
+    Arrays namespace.
+    """
+    actual_xp = array_namespace(actual)  # Raises on scalars and lists
+    desired_xp = array_namespace(desired)
+
+    msg = f"namespaces do not match: {actual_xp} != f{desired_xp}"
+    assert actual_xp == desired_xp, msg
+
+    msg = f"shapes do not match: {actual.shape} != f{desired.shape}"
+    assert actual.shape == desired.shape, msg
+
+    msg = f"dtypes do not match: {actual.dtype} != {desired.dtype}"
+    assert actual.dtype == desired.dtype, msg
+
+    return desired_xp
+
+
+def xp_assert_equal(actual: Array, desired: Array, err_msg: str = "") -> None:
+    """
+    Array-API compatible version of `np.testing.assert_array_equal`.
+
+    Parameters
+    ----------
+    actual : Array
+        The array produced by the tested function.
+    desired : Array
+        The expected array (typically hardcoded).
+    err_msg : str, optional
+        Error message to display on failure.
+    """
+    xp = _check_ns_shape_dtype(actual, desired)
+
+    if is_cupy_namespace(xp):
+        xp.testing.assert_array_equal(actual, desired, err_msg=err_msg)
+    elif is_torch_namespace(xp):
+        # PyTorch recommends using `rtol=0, atol=0` like this
+        # to test for exact equality
+        xp.testing.assert_close(
+            actual,
+            desired,
+            rtol=0,
+            atol=0,
+            equal_nan=True,
+            check_dtype=False,
+            msg=err_msg or None,
+        )
+    else:
+        import numpy as np  # pylint: disable=import-outside-toplevel
+
+        if is_pydata_sparse_namespace(xp):
+            actual = actual.todense()
+            desired = desired.todense()
+
+        # JAX uses `np.testing`
+        np.testing.assert_array_equal(actual, desired, err_msg=err_msg)
+
+
+def xp_assert_close(
+    actual: Array,
+    desired: Array,
+    *,
+    rtol: float | None = None,
+    atol: float = 0,
+    err_msg: str = "",
+) -> None:
+    """
+    Array-API compatible version of `np.testing.assert_allclose`.
+
+    Parameters
+    ----------
+    actual : Array
+        The array produced by the tested function.
+    desired : Array
+        The expected array (typically hardcoded).
+    rtol : float, optional
+        Relative tolerance. Default: dtype-dependent.
+    atol : float, optional
+        Absolute tolerance. Default: 0.
+    err_msg : str, optional
+        Error message to display on failure.
+    """
+    xp = _check_ns_shape_dtype(actual, desired)
+
+    floating = xp.isdtype(actual.dtype, ("real floating", "complex floating"))
+    if rtol is None and floating:
+        # multiplier of 4 is used as for `np.float64` this puts the default `rtol`
+        # roughly half way between sqrt(eps) and the default for
+        # `numpy.testing.assert_allclose`, 1e-7
+        rtol = xp.finfo(actual.dtype).eps ** 0.5 * 4
+    elif rtol is None:
+        rtol = 1e-7
+
+    if is_cupy_namespace(xp):
+        xp.testing.assert_allclose(
+            actual, desired, rtol=rtol, atol=atol, err_msg=err_msg
+        )
+    elif is_torch_namespace(xp):
+        xp.testing.assert_close(
+            actual, desired, rtol=rtol, atol=atol, equal_nan=True, msg=err_msg or None
+        )
+    else:
+        import numpy as np  # pylint: disable=import-outside-toplevel
+
+        if is_pydata_sparse_namespace(xp):
+            actual = actual.to_dense()
+            desired = desired.to_dense()
+
+        # JAX uses `np.testing`
+        assert isinstance(rtol, float)
+        np.testing.assert_allclose(
+            actual, desired, rtol=rtol, atol=atol, err_msg=err_msg
+        )
diff --git a/src/array_api_extra/_lib/_utils.py b/src/array_api_extra/_lib/_utils.py
index 1191b4f3..afb4cfc4 100644
--- a/src/array_api_extra/_lib/_utils.py
+++ b/src/array_api_extra/_lib/_utils.py
@@ -54,7 +54,9 @@ def in1d(
     order = xp.argsort(ar, stable=True)
     reverse_order = xp.argsort(order, stable=True)
     sar = xp.take(ar, order, axis=0)
-    if sar.size >= 1:
+    ar_size = _compat.size(sar)
+    assert ar_size is not None, "xp.unique*() on lazy backends raises"
+    if ar_size >= 1:
         bool_ar = sar[1:] != sar[:-1] if invert else sar[1:] == sar[:-1]
     else:
         bool_ar = xp.asarray([False]) if invert else xp.asarray([True])
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 00000000..3ccaf52b
--- /dev/null
+++ b/tests/__init__.py
@@ -0,0 +1 @@
+"""Needed to import .conftest from the test modules."""
diff --git a/tests/conftest.py b/tests/conftest.py
new file mode 100644
index 00000000..0bf3114f
--- /dev/null
+++ b/tests/conftest.py
@@ -0,0 +1,86 @@
+"""Pytest fixtures."""
+
+from enum import Enum
+from typing import cast
+
+import pytest
+
+from array_api_extra._lib._compat import array_namespace
+from array_api_extra._lib._compat import device as get_device
+from array_api_extra._lib._typing import Device, ModuleType
+
+
+class Library(Enum):
+    """All array libraries explicitly tested by array-api-extra."""
+
+    ARRAY_API_STRICT = "array_api_strict"
+    NUMPY = "numpy"
+    NUMPY_READONLY = "numpy_readonly"
+    CUPY = "cupy"
+    TORCH = "torch"
+    DASK_ARRAY = "dask.array"
+    SPARSE = "sparse"
+    JAX_NUMPY = "jax.numpy"
+
+    def __str__(self) -> str:  # type: ignore[explicit-override]  # pyright: ignore[reportImplicitOverride]  # numpydoc ignore=RT01
+        """Pretty-print parameterized test names."""
+        return self.value
+
+
+@pytest.fixture(params=tuple(Library))
+def library(request: pytest.FixtureRequest) -> Library:  # numpydoc ignore=PR01,RT03
+    """
+    Parameterized fixture that iterates on all libraries.
+
+    Returns
+    -------
+    The current Library enum.
+    """
+    elem = cast(Library, request.param)
+
+    for marker in request.node.iter_markers("skip_xp_backend"):
+        skip_library = marker.kwargs.get("library") or marker.args[0]  # type: ignore[no-untyped-usage]
+        if not isinstance(skip_library, Library):
+            msg = "argument of skip_xp_backend must be a Library enum"
+            raise TypeError(msg)
+        if skip_library == elem:
+            reason = cast(str, marker.kwargs.get("reason", "skip_xp_backend"))
+            pytest.skip(reason=reason)
+
+    return elem
+
+
+@pytest.fixture
+def xp(library: Library) -> ModuleType:  # numpydoc ignore=PR01,RT03
+    """
+    Parameterized fixture that iterates on all libraries.
+
+    Returns
+    -------
+    The current array namespace.
+    """
+    name = "numpy" if library == Library.NUMPY_READONLY else library.value
+    xp = pytest.importorskip(name)
+    if library == Library.JAX_NUMPY:
+        import jax  # type: ignore[import-not-found]  # pyright: ignore[reportMissingImports]
+
+        jax.config.update("jax_enable_x64", True)
+
+    # Possibly wrap module with array_api_compat
+    return array_namespace(xp.empty(0))
+
+
+@pytest.fixture
+def device(
+    library: Library, xp: ModuleType
+) -> Device:  # numpydoc ignore=PR01,RT01,RT03
+    """
+    Return a valid device for the backend.
+
+    Where possible, return a device that is not the default one.
+    """
+    if library == Library.ARRAY_API_STRICT:
+        d = xp.Device("device1")
+        assert get_device(xp.empty(0)) != d
+        return d
+    return get_device(xp.empty(0))
diff --git a/tests/test_at.py b/tests/test_at.py
index 24d356c0..ed56f615 100644
--- a/tests/test_at.py
+++ b/tests/test_at.py
@@ -1,58 +1,31 @@
 from collections.abc import Callable, Generator
 from contextlib import contextmanager
-from enum import Enum
 from typing import cast
 
 import numpy as np
 import pytest
 from array_api_compat import (  # type: ignore[import-untyped]  # pyright: ignore[reportMissingTypeStubs]
     array_namespace,
-    is_dask_array,
     is_pydata_sparse_array,
     is_writeable_array,
 )
 
 from array_api_extra import at
 from array_api_extra._funcs import _AtOp
-from array_api_extra._lib._typing import Array
+from array_api_extra._lib._testing import xp_assert_equal
+from array_api_extra._lib._typing import Array, ModuleType
 
+from .conftest import Library
 
-class Library(Enum):
-    ARRAY_API_STRICT = "array_api_strict"
-    NUMPY = "numpy"
-    NUMPY_READONLY = "numpy_readonly"
-    CUPY = "cupy"
-    TORCH = "torch"
-    DASK_ARRAY = "dask.array"
-    SPARSE = "sparse"
-    JAX_NUMPY = "jax.numpy"
 
-    # @override from Python 3.12
-    def __str__(self) -> str:  # type: ignore[explicit-override]  # pyright: ignore[reportImplicitOverride]
-        return self.value
-
-
-@pytest.fixture(params=tuple(Library))
-def array(request: pytest.FixtureRequest) -> Array:
-    library = request.param
-    if library is Library.NUMPY_READONLY:
-        x = np.asarray([10.0, 20.0, 30.0])
+@pytest.fixture
+def array(library: Library, xp: ModuleType) -> Array:
+    x = xp.asarray([10.0, 20.0, 30.0])
+    if library == Library.NUMPY_READONLY:
         x.flags.writeable = False
-    else:
-        xp = pytest.importorskip(library.value)
-        x = xp.asarray([10.0, 20.0, 30.0])
     return x
 
 
-def assert_array_equal(a: Array, b: Array) -> None:
-    xp = array_namespace(a)
-    b = xp.asarray(b)
-    eq = xp.all(a == b)
-    if is_dask_array(a):
-        eq = eq.compute()
-    assert eq
-
-
 @contextmanager
 def assert_copy(array: Array, copy: bool | None) -> Generator[None, None, None]:
     if copy is False and not is_writeable_array(array):
@@ -66,7 +39,7 @@ def assert_copy(array: Array, copy: bool | None) -> Generator[None, None, None]:
 
     if copy is None:
         copy = not is_writeable_array(array)
-    assert_array_equal(xp.all(array == array_orig), copy)
+    xp_assert_equal(xp.all(array == array_orig), xp.asarray(copy))
 
 
 @pytest.mark.parametrize(
@@ -92,6 +65,7 @@ def assert_copy(array: Array, copy: bool | None) -> Generator[None, None, None]:
     ],
 )
 def test_update_ops(
+    xp: ModuleType,
     array: Array,
     kwargs: dict[str, bool | None],
     expect_copy: bool | None,
@@ -106,7 +80,7 @@ def test_update_ops(
         func = cast(Callable[..., Array], getattr(at(array)[1:], op.value))  # type: ignore[no-any-explicit]
         y = func(arg, **kwargs)
         assert isinstance(y, type(array))
-        assert_array_equal(y, expect)
+        xp_assert_equal(y, xp.asarray(expect))
 
 
 def test_copy_invalid():
@@ -129,12 +103,12 @@ def test_xp():
 
 def test_alternate_index_syntax():
     a = np.asarray([1, 2, 3])
-    assert_array_equal(at(a, 0).set(4, copy=True), [4, 2, 3])
-    assert_array_equal(at(a)[0].set(4, copy=True), [4, 2, 3])
+    xp_assert_equal(at(a, 0).set(4, copy=True), np.asarray([4, 2, 3]))
+    xp_assert_equal(at(a)[0].set(4, copy=True), np.asarray([4, 2, 3]))
 
     a_at = at(a)
-    assert_array_equal(a_at[0].add(1, copy=True), [2, 2, 3])
-    assert_array_equal(a_at[1].add(2, copy=True), [1, 4, 3])
+    xp_assert_equal(a_at[0].add(1, copy=True), np.asarray([2, 2, 3]))
+    xp_assert_equal(a_at[1].add(2, copy=True), np.asarray([1, 4, 3]))
 
     with pytest.raises(ValueError, match="Index"):
         at(a).set(4)
diff --git a/tests/test_funcs.py b/tests/test_funcs.py
index 2fc9041a..5f18ef61 100644
--- a/tests/test_funcs.py
+++ b/tests/test_funcs.py
@@ -1,13 +1,11 @@
 import contextlib
 import warnings
 
-# data-apis/array-api-strict#6
-import array_api_strict as xp  # type: ignore[import-untyped]  # pyright: ignore[reportMissingTypeStubs]
 import numpy as np
 import pytest
-from numpy.testing import assert_allclose, assert_array_equal, assert_equal
 
 from array_api_extra import (
+    at,
     atleast_nd,
     cov,
     create_diagonal,
@@ -17,175 +15,184 @@
     setdiff1d,
     sinc,
 )
-from array_api_extra._lib._typing import Array
+from array_api_extra._lib._compat import device as get_device
+from array_api_extra._lib._testing import xp_assert_close, xp_assert_equal
+from array_api_extra._lib._typing import Array, Device, ModuleType
 
+from .conftest import Library
 
+# mypy: disable-error-code=no-untyped-usage
+
+
+@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no expand_dims")
 class TestAtLeastND:
-    def test_0D(self):
-        x = xp.asarray(1)
+    def test_0D(self, xp: ModuleType):
+        x = xp.asarray(1.0)
 
         y = atleast_nd(x, ndim=0)
-        assert_array_equal(y, x)
+        xp_assert_equal(y, x)
 
         y = atleast_nd(x, ndim=1)
-        assert_array_equal(y, xp.ones((1,)))
+        xp_assert_equal(y, xp.ones((1,)))
 
         y = atleast_nd(x, ndim=5)
-        assert_array_equal(y, xp.ones((1, 1, 1, 1, 1)))
+        xp_assert_equal(y, xp.ones((1, 1, 1, 1, 1)))
 
-    def test_1D(self):
+    def test_1D(self, xp: ModuleType):
         x = xp.asarray([0, 1])
 
         y = atleast_nd(x, ndim=0)
-        assert_array_equal(y, x)
+        xp_assert_equal(y, x)
 
         y = atleast_nd(x, ndim=1)
-        assert_array_equal(y, x)
+        xp_assert_equal(y, x)
 
         y = atleast_nd(x, ndim=2)
-        assert_array_equal(y, xp.asarray([[0, 1]]))
+        xp_assert_equal(y, xp.asarray([[0, 1]]))
 
         y = atleast_nd(x, ndim=5)
-        assert_array_equal(y, xp.reshape(xp.arange(2), (1, 1, 1, 1, 2)))
+        xp_assert_equal(y, xp.reshape(xp.arange(2), (1, 1, 1, 1, 2)))
 
-    def test_2D(self):
-        x = xp.asarray([[3]])
+    def test_2D(self, xp: ModuleType):
+        x = xp.asarray([[3.0]])
 
         y = atleast_nd(x, ndim=0)
-        assert_array_equal(y, x)
+        xp_assert_equal(y, x)
 
         y = atleast_nd(x, ndim=2)
-        assert_array_equal(y, x)
+        xp_assert_equal(y, x)
 
         y = atleast_nd(x, ndim=3)
-        assert_array_equal(y, 3 * xp.ones((1, 1, 1)))
+        xp_assert_equal(y, 3 * xp.ones((1, 1, 1)))
 
         y = atleast_nd(x, ndim=5)
-        assert_array_equal(y, 3 * xp.ones((1, 1, 1, 1, 1)))
+        xp_assert_equal(y, 3 * xp.ones((1, 1, 1, 1, 1)))
 
-    def test_5D(self):
+    def test_5D(self, xp: ModuleType):
         x = xp.ones((1, 1, 1, 1, 1))
 
         y = atleast_nd(x, ndim=0)
-        assert_array_equal(y, x)
+        xp_assert_equal(y, x)
 
         y = atleast_nd(x, ndim=4)
-        assert_array_equal(y, x)
+        xp_assert_equal(y, x)
 
         y = atleast_nd(x, ndim=5)
-        assert_array_equal(y, x)
+        xp_assert_equal(y, x)
 
         y = atleast_nd(x, ndim=6)
-        assert_array_equal(y, xp.ones((1, 1, 1, 1, 1, 1)))
+        xp_assert_equal(y, xp.ones((1, 1, 1, 1, 1, 1)))
 
         y = atleast_nd(x, ndim=9)
-        assert_array_equal(y, xp.ones((1, 1, 1, 1, 1, 1, 1, 1, 1)))
+        xp_assert_equal(y, xp.ones((1, 1, 1, 1, 1, 1, 1, 1, 1)))
 
-    def test_device(self):
-        device = xp.Device("device1")
+    def test_device(self, xp: ModuleType, device: Device):
         x = xp.asarray([1, 2, 3], device=device)
-        assert atleast_nd(x, ndim=2).device == device
+        assert get_device(atleast_nd(x, ndim=2)) == device
 
-    def test_xp(self):
+    def test_xp(self, xp: ModuleType):
         x = xp.asarray(1)
         y = atleast_nd(x, ndim=0, xp=xp)
-        assert_array_equal(y, x)
+        xp_assert_equal(y, x)
 
 
+@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype")
 class TestCov:
-    def test_basic(self):
-        assert_allclose(
+    def test_basic(self, xp: ModuleType):
+        xp_assert_close(
             cov(xp.asarray([[0, 2], [1, 1], [2, 0]]).T),
-            xp.asarray([[1.0, -1.0], [-1.0, 1.0]]),
+            xp.asarray([[1.0, -1.0], [-1.0, 1.0]], dtype=xp.float64),
         )
 
-    def test_complex(self):
-        x = xp.asarray([[1, 2, 3], [1j, 2j, 3j]])
-        res = xp.asarray([[1.0, -1.0j], [1.0j, 1.0]])
-        assert_allclose(cov(x), res)
+    def test_complex(self, xp: ModuleType):
+        actual = cov(xp.asarray([[1, 2, 3], [1j, 2j, 3j]]))
+        expect = xp.asarray([[1.0, -1.0j], [1.0j, 1.0]], dtype=xp.complex128)
+        xp_assert_close(actual, expect)
 
-    def test_empty(self):
+    def test_empty(self, xp: ModuleType):
         with warnings.catch_warnings(record=True):
             warnings.simplefilter("always", RuntimeWarning)
-            assert_array_equal(cov(xp.asarray([])), xp.nan)
-            assert_array_equal(
+            xp_assert_equal(cov(xp.asarray([])), xp.asarray(xp.nan, dtype=xp.float64))
+            xp_assert_equal(
                 cov(xp.reshape(xp.asarray([]), (0, 2))),
-                xp.reshape(xp.asarray([]), (0, 0)),
+                xp.reshape(xp.asarray([], dtype=xp.float64), (0, 0)),
             )
-            assert_array_equal(
+            xp_assert_equal(
                 cov(xp.reshape(xp.asarray([]), (2, 0))),
-                xp.asarray([[xp.nan, xp.nan], [xp.nan, xp.nan]]),
+                xp.asarray([[xp.nan, xp.nan], [xp.nan, xp.nan]], dtype=xp.float64),
             )
 
-    def test_combination(self):
+    def test_combination(self, xp: ModuleType):
         x = xp.asarray([-2.1, -1, 4.3])
         y = xp.asarray([3, 1.1, 0.12])
         X = xp.stack((x, y), axis=0)
-        desired = xp.asarray([[11.71, -4.286], [-4.286, 2.144133]])
-        assert_allclose(cov(X), desired, rtol=1e-6)
-        assert_allclose(cov(x), xp.asarray(11.71))
-        assert_allclose(cov(y), xp.asarray(2.144133), rtol=1e-6)
+        desired = xp.asarray([[11.71, -4.286], [-4.286, 2.144133]], dtype=xp.float64)
+        xp_assert_close(cov(X), desired, rtol=1e-6)
+        xp_assert_close(cov(x), xp.asarray(11.71, dtype=xp.float64))
+        xp_assert_close(cov(y), xp.asarray(2.144133, dtype=xp.float64), rtol=1e-6)
 
-    def test_device(self):
-        device = xp.Device("device1")
+    def test_device(self, xp: ModuleType, device: Device):
         x = xp.asarray([1, 2, 3], device=device)
-        assert cov(x).device == device
+        assert get_device(cov(x)) == device
 
-    def test_xp(self):
-        assert_allclose(
-            cov(xp.asarray([[0, 2], [1, 1], [2, 0]]).T, xp=xp),
-            xp.asarray([[1.0, -1.0], [-1.0, 1.0]]),
+    def test_xp(self, xp: ModuleType):
+        xp_assert_close(
+            cov(xp.asarray([[0.0, 2.0], [1.0, 1.0], [2.0, 0.0]]).T, xp=xp),
+            xp.asarray([[1.0, -1.0], [-1.0, 1.0]], dtype=xp.float64),
         )
 
 
+@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no device")
 class TestCreateDiagonal:
-    def test_1d(self):
+    def test_1d(self, xp: ModuleType):
         # from np.diag tests
         vals = 100 * xp.arange(5, dtype=xp.float64)
-        b = xp.zeros((5, 5))
+        b = xp.zeros((5, 5), dtype=xp.float64)
         for k in range(5):
-            b[k, k] = vals[k]
-        assert_array_equal(create_diagonal(vals), b)
-        b = xp.zeros((7, 7))
+            b = at(b)[k, k].set(vals[k])
+        xp_assert_equal(create_diagonal(vals), b)
+        b = xp.zeros((7, 7), dtype=xp.float64)
         c = xp.asarray(b, copy=True)
         for k in range(5):
-            b[k, k + 2] = vals[k]
-            c[k + 2, k] = vals[k]
-        assert_array_equal(create_diagonal(vals, offset=2), b)
-        assert_array_equal(create_diagonal(vals, offset=-2), c)
+            b = at(b)[k, k + 2].set(vals[k])
+            c = at(c)[k + 2, k].set(vals[k])
+        xp_assert_equal(create_diagonal(vals, offset=2), b)
+        xp_assert_equal(create_diagonal(vals, offset=-2), c)
 
     @pytest.mark.parametrize("n", range(1, 10))
     @pytest.mark.parametrize("offset", range(1, 10))
-    def test_create_diagonal(self, n: int, offset: int):
+    def test_create_diagonal(self, xp: ModuleType, n: int, offset: int):
         # from scipy._lib tests
         rng = np.random.default_rng(2347823)
         one = xp.asarray(1.0)
         x = rng.random(n)
         A = create_diagonal(xp.asarray(x, dtype=one.dtype), offset=offset)
         B = xp.asarray(np.diag(x, offset), dtype=one.dtype)
-        assert_array_equal(A, B)
+        xp_assert_equal(A, B)
 
-    def test_0d(self):
+    def test_0d(self, xp: ModuleType):
         with pytest.raises(ValueError, match="1-dimensional"):
             create_diagonal(xp.asarray(1))
 
-    def test_2d(self):
+    def test_2d(self, xp: ModuleType):
         with pytest.raises(ValueError, match="1-dimensional"):
             create_diagonal(xp.asarray([[1]]))
 
-    def test_device(self):
-        device = xp.Device("device1")
+    def test_device(self, xp: ModuleType, device: Device):
         x = xp.asarray([1, 2, 3], device=device)
-        assert create_diagonal(x).device == device
+        assert get_device(create_diagonal(x)) == device
 
-    def test_xp(self):
+    def test_xp(self, xp: ModuleType):
         x = xp.asarray([1, 2])
         y = create_diagonal(x, xp=xp)
-        assert_array_equal(y, xp.asarray([[1, 0], [0, 2]]))
+        xp_assert_equal(y, xp.asarray([[1, 0], [0, 2]]))
 
 
+@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no sparse.expand_dims")
 class TestExpandDims:
-    def test_functionality(self):
+    @pytest.mark.skip_xp_backend(Library.DASK_ARRAY, reason="tuple index out of range")
+    @pytest.mark.skip_xp_backend(Library.TORCH, reason="tuple index out of range")
+    def test_functionality(self, xp: ModuleType):
         def _squeeze_all(b: Array) -> Array:
             """Mimics `np.squeeze(b)`. `xpx.squeeze`?"""
             for axis in range(b.ndim):
@@ -200,14 +207,14 @@ def _squeeze_all(b: Array) -> Array:
             assert b.shape[axis] == 1
             assert _squeeze_all(b).shape == s
 
-    def test_axis_tuple(self):
+    def test_axis_tuple(self, xp: ModuleType):
         a = xp.empty((3, 3, 3))
         assert expand_dims(a, axis=(0, 1, 2)).shape == (1, 1, 1, 3, 3, 3)
         assert expand_dims(a, axis=(0, -1, -2)).shape == (1, 3, 3, 3, 1, 1)
         assert expand_dims(a, axis=(0, 3, 5)).shape == (1, 3, 3, 1, 3, 1)
         assert expand_dims(a, axis=(0, -3, -5)).shape == (1, 1, 3, 1, 3, 3)
 
-    def test_axis_out_of_range(self):
+    def test_axis_out_of_range(self, xp: ModuleType):
         s = (2, 3, 4, 5)
         a = xp.empty(s)
         with pytest.raises(IndexError, match="out of bounds"):
@@ -221,64 +228,64 @@ def test_axis_out_of_range(self):
         with pytest.raises(IndexError, match="out of bounds"):
             expand_dims(a, axis=(0, 5))
 
-    def test_repeated_axis(self):
+    def test_repeated_axis(self, xp: ModuleType):
         a = xp.empty((3, 3, 3))
         with pytest.raises(ValueError, match="Duplicate dimensions"):
             expand_dims(a, axis=(1, 1))
 
-    def test_positive_negative_repeated(self):
+    def test_positive_negative_repeated(self, xp: ModuleType):
         # https://github.com/data-apis/array-api/issues/760#issuecomment-1989449817
         a = xp.empty((2, 3, 4, 5))
         with pytest.raises(ValueError, match="Duplicate dimensions"):
             expand_dims(a, axis=(3, -3))
 
-    def test_device(self):
-        device = xp.Device("device1")
+    def test_device(self, xp: ModuleType, device: Device):
         x = xp.asarray([1, 2, 3], device=device)
-        assert expand_dims(x, axis=0).device == device
+        assert get_device(expand_dims(x, axis=0)) == device
 
-    def test_xp(self):
+    def test_xp(self, xp: ModuleType):
         x = xp.asarray([1, 2, 3])
         y = expand_dims(x, axis=(0, 1, 2), xp=xp)
         assert y.shape == (1, 1, 1, 3)
 
 
+@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no sparse.expand_dims")
 class TestKron:
-    def test_basic(self):
+    def test_basic(self, xp: ModuleType):
         # Using 0-dimensional array
         a = xp.asarray(1)
         b = xp.asarray([[1, 2], [3, 4]])
         k = xp.asarray([[1, 2], [3, 4]])
-        assert_array_equal(kron(a, b), k)
+        xp_assert_equal(kron(a, b), k)
         a = xp.asarray([[1, 2], [3, 4]])
         b = xp.asarray(1)
-        assert_array_equal(kron(a, b), k)
+        xp_assert_equal(kron(a, b), k)
 
         # Using 1-dimensional array
         a = xp.asarray([3])
         b = xp.asarray([[1, 2], [3, 4]])
         k = xp.asarray([[3, 6], [9, 12]])
-        assert_array_equal(kron(a, b), k)
+        xp_assert_equal(kron(a, b), k)
         a = xp.asarray([[1, 2], [3, 4]])
         b = xp.asarray([3])
-        assert_array_equal(kron(a, b), k)
+        xp_assert_equal(kron(a, b), k)
 
         # Using 3-dimensional array
         a = xp.asarray([[[1]], [[2]]])
         b = xp.asarray([[1, 2], [3, 4]])
         k = xp.asarray([[[1, 2], [3, 4]], [[2, 4], [6, 8]]])
-        assert_array_equal(kron(a, b), k)
+        xp_assert_equal(kron(a, b), k)
         a = xp.asarray([[1, 2], [3, 4]])
         b = xp.asarray([[[1]], [[2]]])
         k = xp.asarray([[[1, 2], [3, 4]], [[2, 4], [6, 8]]])
-        assert_array_equal(kron(a, b), k)
+        xp_assert_equal(kron(a, b), k)
 
-    def test_kron_smoke(self):
+    def test_kron_smoke(self, xp: ModuleType):
         a = xp.ones((3, 3))
         b = xp.ones((3, 3))
         k = xp.ones((9, 9))
 
-        assert_array_equal(kron(a, b), k)
+        xp_assert_equal(kron(a, b), k)
 
     @pytest.mark.parametrize(
         ("shape_a", "shape_b"),
@@ -291,7 +298,9 @@ def test_kron_smoke(self):
             ((2, 0, 0, 2), (2, 0, 2)),
         ],
     )
-    def test_kron_shape(self, shape_a: tuple[int, ...], shape_b: tuple[int, ...]):
+    def test_kron_shape(
+        self, xp: ModuleType, shape_a: tuple[int, ...], shape_b: tuple[int, ...]
+    ):
         a = xp.ones(shape_a)
         b = xp.ones(shape_b)
         normalised_shape_a = xp.asarray(
@@ -305,119 +314,123 @@ def test_kron_shape(self, shape_a: tuple[int, ...], shape_b: tuple[int, ...]):
         )
 
         k = kron(a, b)
-        assert_equal(k.shape, expected_shape, err_msg="Unexpected shape from kron")
+        assert k.shape == expected_shape
 
-    def test_device(self):
-        device = xp.Device("device1")
+    def test_device(self, xp: ModuleType, device: Device):
         x1 = xp.asarray([1, 2, 3], device=device)
         x2 = xp.asarray([4, 5], device=device)
-        assert kron(x1, x2).device == device
+        assert get_device(kron(x1, x2)) == device
 
-    def test_xp(self):
+    def test_xp(self, xp: ModuleType):
         a = xp.ones((3, 3))
         b = xp.ones((3, 3))
         k = xp.ones((9, 9))
-        assert_array_equal(kron(a, b, xp=xp), k)
+        xp_assert_equal(kron(a, b, xp=xp), k)
 
 
+@pytest.mark.skip_xp_backend(Library.DASK_ARRAY, reason="no argsort")
+@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no device")
 class TestSetDiff1D:
-    def test_setdiff1d(self):
+    @pytest.mark.skip_xp_backend(
+        Library.TORCH, reason="index_select not implemented for uint32"
+    )
+    def test_setdiff1d(self, xp: ModuleType):
         x1 = xp.asarray([6, 5, 4, 7, 1, 2, 7, 4])
         x2 = xp.asarray([2, 4, 3, 3, 2, 1, 5])
 
         expected = xp.asarray([6, 7])
         actual = setdiff1d(x1, x2)
-        assert_array_equal(actual, expected)
+        xp_assert_equal(actual, expected)
 
         x1 = xp.arange(21)
         x2 = xp.arange(19)
         expected = xp.asarray([19, 20])
         actual = setdiff1d(x1, x2)
-        assert_array_equal(actual, expected)
+        xp_assert_equal(actual, expected)
 
-        assert_array_equal(setdiff1d(xp.empty(0), xp.empty(0)), xp.empty(0))
+        xp_assert_equal(setdiff1d(xp.empty(0), xp.empty(0)), xp.empty(0))
         x1 = xp.empty(0, dtype=xp.uint32)
         x2 = x1
-        assert_equal(setdiff1d(x1, x2).dtype, xp.uint32)
+        assert xp.isdtype(setdiff1d(x1, x2).dtype, xp.uint32)
 
-    def test_assume_unique(self):
+    def test_assume_unique(self, xp: ModuleType):
         x1 = xp.asarray([3, 2, 1])
         x2 = xp.asarray([7, 5, 2])
         expected = xp.asarray([3, 1])
         actual = setdiff1d(x1, x2, assume_unique=True)
-        assert_array_equal(actual, expected)
+        xp_assert_equal(actual, expected)
 
-    def test_device(self):
-        device = xp.Device("device1")
+    def test_device(self, xp: ModuleType, device: Device):
         x1 = xp.asarray([3, 8, 20], device=device)
         x2 = xp.asarray([2, 3, 4], device=device)
-        assert setdiff1d(x1, x2).device == device
+        assert get_device(setdiff1d(x1, x2)) == device
 
-    def test_xp(self):
+    def test_xp(self, xp: ModuleType):
         x1 = xp.asarray([3, 8, 20])
         x2 = xp.asarray([2, 3, 4])
         expected = xp.asarray([8, 20])
         actual = setdiff1d(x1, x2, xp=xp)
-        assert_array_equal(actual, expected)
+        xp_assert_equal(actual, expected)
 
 
+@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype")
 class TestSinc:
-    def test_simple(self):
-        assert_array_equal(sinc(xp.asarray(0.0)), xp.asarray(1.0))
+    def test_simple(self, xp: ModuleType):
+        xp_assert_equal(sinc(xp.asarray(0.0)), xp.asarray(1.0))
         w = sinc(xp.linspace(-1, 1, 100))
         # check symmetry
-        assert_allclose(w, xp.flip(w, axis=0))
+        xp_assert_close(w, xp.flip(w, axis=0))
 
     @pytest.mark.parametrize("x", [0, 1 + 3j])
-    def test_dtype(self, x: int | complex):
+    def test_dtype(self, xp: ModuleType, x: int | complex):
         with pytest.raises(ValueError, match="real floating data type"):
             sinc(xp.asarray(x))
 
-    def test_3d(self):
+    def test_3d(self, xp: ModuleType):
         x = xp.reshape(xp.arange(18, dtype=xp.float64), (3, 3, 2))
-        expected = xp.zeros((3, 3, 2))
-        expected[0, 0, 0] = 1.0
-        assert_allclose(sinc(x), expected, atol=1e-15)
+        expected = xp.zeros((3, 3, 2), dtype=xp.float64)
+        expected = at(expected)[0, 0, 0].set(1.0)
+        xp_assert_close(sinc(x), expected, atol=1e-15)
 
-    def test_device(self):
-        device = xp.Device("device1")
+    def test_device(self, xp: ModuleType, device: Device):
         x = xp.asarray(0.0, device=device)
-        assert sinc(x).device == device
+        assert get_device(sinc(x)) == device
 
-    def test_xp(self):
-        assert_array_equal(sinc(xp.asarray(0.0), xp=xp), xp.asarray(1.0))
+    def test_xp(self, xp: ModuleType):
+        xp_assert_equal(sinc(xp.asarray(0.0), xp=xp), xp.asarray(1.0))
 
 
+@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no arange, no device")
 class TestPad:
-    def test_simple(self):
+    def test_simple(self, xp: ModuleType):
         a = xp.arange(1, 4)
         padded = pad(a, 2)
-        assert xp.all(padded == xp.asarray([0, 0, 1, 2, 3, 0, 0]))
+        xp_assert_equal(padded, xp.asarray([0, 0, 1, 2, 3, 0, 0]))
 
-    def test_fill_value(self):
+    def test_fill_value(self, xp: ModuleType):
         a = xp.arange(1, 4)
         padded = pad(a, 2, constant_values=42)
-        assert xp.all(padded == xp.asarray([42, 42, 1, 2, 3, 42, 42]))
+        xp_assert_equal(padded, xp.asarray([42, 42, 1, 2, 3, 42, 42]))
 
-    def test_ndim(self):
+    def test_ndim(self, xp: ModuleType):
         a = xp.reshape(xp.arange(2 * 3 * 4), (2, 3, 4))
         padded = pad(a, 2)
         assert padded.shape == (6, 7, 8)
 
-    def test_mode_not_implemented(self):
+    def test_mode_not_implemented(self, xp: ModuleType):
         a = xp.arange(3)
         with pytest.raises(NotImplementedError, match="Only `'constant'`"):
             pad(a, 2, mode="edge")
 
-    def test_device(self):
-        device = xp.Device("device1")
+    def test_device(self, xp: ModuleType, device: Device):
         a = xp.asarray(0.0, device=device)
-        assert pad(a, 2).device == device
+        assert get_device(pad(a, 2)) == device
 
-    def test_xp(self):
-        assert_array_equal(pad(xp.asarray(0), 1, xp=xp), xp.zeros(3))
+    def test_xp(self, xp: ModuleType):
+        padded = pad(xp.asarray(0), 1, xp=xp)
+        xp_assert_equal(padded, xp.asarray(0))
 
-    def test_tuple_width(self):
+    def test_tuple_width(self, xp: ModuleType):
         a = xp.reshape(xp.arange(12), (3, 4))
         padded = pad(a, (1, 0))
         assert padded.shape == (4, 5)
@@ -428,7 +441,7 @@ def test_tuple_width(self):
         with pytest.raises(ValueError, match="expect a 2-tuple"):
             pad(a, [(1, 2, 3)])  # type: ignore[list-item]  # pyright: ignore[reportArgumentType]
 
-    def test_list_of_tuples_width(self):
+    def test_list_of_tuples_width(self, xp: ModuleType):
         a = xp.reshape(xp.arange(12), (3, 4))
         padded = pad(a, [(1, 0), (0, 2)])
         assert padded.shape == (4, 6)
diff --git a/tests/test_testing.py b/tests/test_testing.py
new file mode 100644
index 00000000..28b37d03
--- /dev/null
+++ b/tests/test_testing.py
@@ -0,0 +1,68 @@
+import numpy as np
+import pytest
+
+from array_api_extra._lib._testing import xp_assert_close, xp_assert_equal
+
+from .conftest import Library
+
+# mypy: disable-error-code=no-any-decorated
+# pyright: reportUnknownParameterType=false,reportMissingParameterType=false
+
+
+@pytest.mark.parametrize(
+    "func",
+    [
+        xp_assert_equal,
+        pytest.param(
+            xp_assert_close,
+            marks=pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype"),
+        ),
+    ],
+)
+def test_assert_close_equal_basic(xp, func):
+    func(xp.asarray(0), xp.asarray(0))
+    func(xp.asarray([1, 2]), xp.asarray([1, 2]))
+
+    with pytest.raises(AssertionError, match="shapes do not match"):
+        func(xp.asarray([0]), xp.asarray([[0]]))
+
+    with pytest.raises(AssertionError, match="dtypes do not match"):
+        func(xp.asarray(0, dtype=xp.float32), xp.asarray(0, dtype=xp.float64))
+
+    with pytest.raises(AssertionError):
+        func(xp.asarray([1, 2]), xp.asarray([1, 3]))
+
+    with pytest.raises(AssertionError, match="hello"):
+        func(xp.asarray([1, 2]), xp.asarray([1, 3]), err_msg="hello")
+
+
+@pytest.mark.skip_xp_backend(Library.NUMPY)
+@pytest.mark.skip_xp_backend(Library.NUMPY_READONLY)
+@pytest.mark.parametrize(
+    "func",
+    [
+        xp_assert_equal,
+        pytest.param(
+            xp_assert_close,
+            marks=pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype"),
+        ),
+    ],
+)
+def test_assert_close_equal_namespace(xp, func):
+    with pytest.raises(AssertionError):
+        func(xp.asarray(0), np.asarray(0))
+    with pytest.raises(TypeError):
+        func(xp.asarray(0), 0)
+    with pytest.raises(TypeError):
+        func(xp.asarray([0]), [0])
+
+
+@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype")
+def test_assert_close_tolerance(xp):
+    xp_assert_close(xp.asarray([100.0]), xp.asarray([102.0]), rtol=0.03)
+    with pytest.raises(AssertionError):
+        xp_assert_close(xp.asarray([100.0]), xp.asarray([102.0]), rtol=0.01)
+
+    xp_assert_close(xp.asarray([100.0]), xp.asarray([102.0]), atol=3)
+    with pytest.raises(AssertionError):
+        xp_assert_close(xp.asarray([100.0]), xp.asarray([102.0]), atol=1)
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 1807627d..8cf49c2a 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -1,31 +1,38 @@
-# data-apis/array-api-strict#6
-import array_api_strict as xp  # type: ignore[import-untyped]  # pyright: ignore[reportMissingTypeStubs]
+import numpy as np
 import pytest
-from numpy.testing import assert_array_equal
 
-from array_api_extra._lib._typing import Array
+from array_api_extra._lib._compat import device as get_device
+from array_api_extra._lib._testing import xp_assert_equal
+from array_api_extra._lib._typing import Array, Device, ModuleType
 from array_api_extra._lib._utils import in1d
 
+from .conftest import Library
+
+# mypy: disable-error-code=no-untyped-usage
+
 
-# some test coverage already provided by TestSetDiff1D
 class TestIn1D:
+    @pytest.mark.skip_xp_backend(Library.DASK_ARRAY, reason="no argsort")
+    @pytest.mark.skip_xp_backend(Library.SPARSE, reason="no unique_inverse, no device")
     # cover both code paths
-    @pytest.mark.parametrize("x2", [xp.arange(9), xp.arange(15)])
-    def test_no_invert_assume_unique(self, x2: Array):
+    @pytest.mark.parametrize("x2", [np.arange(9), np.arange(15)])
+    def test_no_invert_assume_unique(self, xp: ModuleType, x2: Array):
         x1 = xp.asarray([3, 8, 20])
+        x2 = xp.asarray(x2)
         expected = xp.asarray([True, True, False])
         actual = in1d(x1, x2)
-        assert_array_equal(actual, expected)
+        xp_assert_equal(actual, expected)
 
-    def test_device(self):
-        device = xp.Device("device1")
+    @pytest.mark.skip_xp_backend(Library.SPARSE, reason="no device")
+    def test_device(self, xp: ModuleType, device: Device):
         x1 = xp.asarray([3, 8, 20], device=device)
         x2 = xp.asarray([2, 3, 4], device=device)
-        assert in1d(x1, x2).device == device
+        assert get_device(in1d(x1, x2)) == device
 
-    def test_xp(self):
+    @pytest.mark.skip_xp_backend(Library.SPARSE, reason="no arange, no device")
+    def test_xp(self, xp: ModuleType):
         x1 = xp.asarray([1, 6])
         x2 = xp.arange(5)
         expected = xp.asarray([True, False])
         actual = in1d(x1, x2, xp=xp)
-        assert_array_equal(actual, expected)
+        xp_assert_equal(actual, expected)
diff --git a/vendor_tests/test_vendor.py b/vendor_tests/test_vendor.py
index c2e6570d..e3202803 100644
--- a/vendor_tests/test_vendor.py
+++ b/vendor_tests/test_vendor.py
@@ -6,8 +6,13 @@ def test_vendor_compat():
     from ._array_api_compat_vendor import (  # type: ignore[attr-defined]
         array_namespace,
         device,
+        is_cupy_namespace,
         is_jax_array,
+        is_jax_namespace,
+        is_pydata_sparse_namespace,
+        is_torch_namespace,
         is_writeable_array,
+        size,
     )
 
     x = xp.asarray([1, 2, 3])
@@ -15,6 +20,11 @@ def test_vendor_compat():
     device(x)
     assert not is_jax_array(x)
     assert is_writeable_array(x)
+    assert not is_cupy_namespace(xp)
+    assert not is_jax_namespace(xp)
+    assert not is_pydata_sparse_namespace(xp)
+    assert not is_torch_namespace(xp)
+    assert size(x) == 3
 
 
 def test_vendor_extra():

From ec890f1e57217e768c337e08290670290fb58f80 Mon Sep 17 00:00:00 2001
From: Guido Imperiale <crusaderky@gmail.com>
Date: Tue, 14 Jan 2025 17:21:25 +0000
Subject: [PATCH 09/14] ENH: new function `nunique` (#90)

Co-authored-by: Lucas Colley <lucas.colley8@gmail.com>
---
 docs/api-reference.md           |  1 +
 pixi.lock                       |  2 +-
 pyproject.toml                  |  1 +
 src/array_api_extra/__init__.py |  2 ++
 src/array_api_extra/_funcs.py   | 38 +++++++++++++++++++++++++++++++++
 tests/test_funcs.py             | 19 +++++++++++++++++
 6 files changed, 62 insertions(+), 1 deletion(-)

diff --git a/docs/api-reference.md b/docs/api-reference.md
index b43c960f..279c84c4 100644
--- a/docs/api-reference.md
+++ b/docs/api-reference.md
@@ -12,6 +12,7 @@
     create_diagonal
     expand_dims
     kron
+    nunique
     setdiff1d
     sinc
 ```
diff --git a/pixi.lock b/pixi.lock
index 2790b207..ed262f2f 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -2469,7 +2469,7 @@ packages:
 - pypi: .
   name: array-api-extra
   version: 0.5.1.dev0
-  sha256: 8b4533cc75534abb69425a1e5c9f6a4ab96949562d2e90d41ea0e22187a02c1b
+  sha256: 09d6a4b1405fd64596379826065a09bc3787a4fc4e1535dc369f74a3b96f86e3
   requires_dist:
   - array-api-compat>=1.10.0,<2
   - furo>=2023.8.17 ; extra == 'docs'
diff --git a/pyproject.toml b/pyproject.toml
index 4f5ddac0..a5594541 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -299,6 +299,7 @@ messages_control.disable = [
     "line-too-long",
     "missing-module-docstring",
     "missing-function-docstring",
+    "too-many-lines",
     "wrong-import-position",
 ]
 
diff --git a/src/array_api_extra/__init__.py b/src/array_api_extra/__init__.py
index a4f6815f..3f973307 100644
--- a/src/array_api_extra/__init__.py
+++ b/src/array_api_extra/__init__.py
@@ -7,6 +7,7 @@
     create_diagonal,
     expand_dims,
     kron,
+    nunique,
     pad,
     setdiff1d,
     sinc,
@@ -23,6 +24,7 @@
     "create_diagonal",
     "expand_dims",
     "kron",
+    "nunique",
     "pad",
     "setdiff1d",
     "sinc",
diff --git a/src/array_api_extra/_funcs.py b/src/array_api_extra/_funcs.py
index 7502561a..017c7297 100644
--- a/src/array_api_extra/_funcs.py
+++ b/src/array_api_extra/_funcs.py
@@ -3,6 +3,7 @@
 # https://github.com/scikit-learn/scikit-learn/pull/27910#issuecomment-2568023972
 from __future__ import annotations
 
+import math
 import operator
 import warnings
 from collections.abc import Callable
@@ -25,6 +26,7 @@
     "create_diagonal",
     "expand_dims",
     "kron",
+    "nunique",
     "pad",
     "setdiff1d",
     "sinc",
@@ -638,6 +640,42 @@ def pad(
     return at(padded, tuple(slices)).set(x)
 
 
+def nunique(x: Array, /, *, xp: ModuleType | None = None) -> Array:
+    """
+    Count the number of unique elements in an array.
+
+    Compatible with JAX and Dask, whose laziness would be otherwise
+    problematic.
+
+    Parameters
+    ----------
+    x : Array
+        Input array.
+    xp : array_namespace, optional
+        The standard-compatible namespace for `x`. Default: infer.
+
+    Returns
+    -------
+    array: 0-dimensional integer array
+        The number of unique elements in `x`. It can be lazy.
+    """
+    if xp is None:
+        xp = array_namespace(x)
+
+    if is_jax_array(x):
+        # size= is JAX-specific
+        # https://github.com/data-apis/array-api/issues/883
+        _, counts = xp.unique_counts(x, size=_compat.size(x))
+        return xp.astype(counts, xp.bool).sum()
+
+    _, counts = xp.unique_counts(x)
+    n = _compat.size(counts)
+    # FIXME https://github.com/data-apis/array-api-compat/pull/231
+    if n is None or math.isnan(n):  # e.g. Dask, ndonnx
+        return xp.astype(counts, xp.bool).sum()
+    return xp.asarray(n, device=_compat.device(x))
+
+
 class _AtOp(Enum):
     """Operations for use in `xpx.at`."""
 
diff --git a/tests/test_funcs.py b/tests/test_funcs.py
index 5f18ef61..201295da 100644
--- a/tests/test_funcs.py
+++ b/tests/test_funcs.py
@@ -11,6 +11,7 @@
     create_diagonal,
     expand_dims,
     kron,
+    nunique,
     pad,
     setdiff1d,
     sinc,
@@ -448,3 +449,21 @@ def test_list_of_tuples_width(self, xp: ModuleType):
 
         padded = pad(a, [(1, 0), (0, 0)])
         assert padded.shape == (4, 4)
+
+
+class TestNUnique:
+    def test_simple(self, xp: ModuleType):
+        a = xp.asarray([[1, 1], [0, 2], [2, 2]])
+        xp_assert_equal(nunique(a), xp.asarray(3))
+
+    def test_empty(self, xp: ModuleType):
+        a = xp.asarray([])
+        xp_assert_equal(nunique(a), xp.asarray(0))
+
+    def test_device(self, xp: ModuleType, device: Device):
+        a = xp.asarray(0.0, device=device)
+        assert get_device(nunique(a)) == device
+
+    def test_xp(self, xp: ModuleType):
+        a = xp.asarray([[1, 1], [0, 2], [2, 2]])
+        xp_assert_equal(nunique(a, xp=xp), xp.asarray(3))

From 290ebb57a990bfde8b73c070184c5485b752d683 Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Wed, 15 Jan 2025 13:06:36 +0000
Subject: [PATCH 10/14] ENH: `pad`: add delegation (#72)

Co-authored-by: Guido Imperiale <crusaderky@gmail.com>
---
 docs/api-reference.md                         |   1 +
 docs/index.md                                 |  61 +-
 pixi.lock                                     | 969 +++++++++---------
 pyproject.toml                                |   6 +-
 src/array_api_extra/__init__.py               |   4 +-
 src/array_api_extra/_delegation.py            |  83 ++
 src/array_api_extra/_lib/__init__.py          |   6 +-
 src/array_api_extra/_lib/_backends.py         |  59 ++
 src/array_api_extra/{ => _lib}/_funcs.py      |  60 +-
 src/array_api_extra/_lib/_testing.py          |   6 +-
 src/array_api_extra/_lib/_utils/__init__.py   |   1 +
 .../_lib/{ => _utils}/_compat.py              |  11 +-
 .../_lib/{ => _utils}/_compat.pyi             |  11 +-
 .../_lib/{_utils.py => _utils/_helpers.py}    |   6 +-
 .../_lib/{ => _utils}/_typing.py              |   3 +-
 tests/conftest.py                             |  49 +-
 tests/test_at.py                              |  12 +-
 tests/test_funcs.py                           |  36 +-
 tests/test_testing.py                         |  13 +-
 tests/test_utils.py                           |  19 +-
 vendor_tests/test_vendor.py                   |   2 +-
 21 files changed, 797 insertions(+), 621 deletions(-)
 create mode 100644 src/array_api_extra/_delegation.py
 create mode 100644 src/array_api_extra/_lib/_backends.py
 rename src/array_api_extra/{ => _lib}/_funcs.py (95%)
 create mode 100644 src/array_api_extra/_lib/_utils/__init__.py
 rename src/array_api_extra/_lib/{ => _utils}/_compat.py (71%)
 rename src/array_api_extra/_lib/{ => _utils}/_compat.pyi (62%)
 rename src/array_api_extra/_lib/{_utils.py => _utils/_helpers.py} (96%)
 rename src/array_api_extra/_lib/{ => _utils}/_typing.py (75%)

diff --git a/docs/api-reference.md b/docs/api-reference.md
index 279c84c4..e2c115c6 100644
--- a/docs/api-reference.md
+++ b/docs/api-reference.md
@@ -13,6 +13,7 @@
     expand_dims
     kron
     nunique
+    pad
     setdiff1d
     sinc
 ```
diff --git a/docs/index.md b/docs/index.md
index 9470d452..c1998cdd 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -10,7 +10,8 @@ contributors.md
 ```
 
 This is a library housing "array-agnostic" implementations of functions built on
-top of [the Python array API standard](https://data-apis.org/array-api/).
+top of [the Python array API standard](https://data-apis.org/array-api/), as
+well as delegation to existing implementations for known array library backends.
 
 The intended users of this library are "array-consuming" libraries which are
 using [array-api-compat](https://data-apis.org/array-api-compat/) to make their
@@ -23,7 +24,7 @@ It is currently used by:
 
 - [SciPy](https://github.com/scipy/scipy) - Fundamental algorithms for
   scientific computing.
-- ...
+- _your library? Let us know!_
 
 (installation)=
 
@@ -33,6 +34,8 @@ It is currently used by:
 [on PyPI](https://pypi.org/project/array-api-extra/):
 
 ```shell
+uv add array-api-extra
+# or
 python -m pip install array-api-extra
 ```
 
@@ -40,9 +43,9 @@ And
 [on conda-forge](https://prefix.dev/channels/conda-forge/packages/array-api-extra):
 
 ```shell
-mamba install array-api-extra
-# or
 pixi add array-api-extra
+# or
+mamba install array-api-extra
 ```
 
 ```{warning}
@@ -52,7 +55,7 @@ a specific version, or vendor the library inside your own.
 ```
 
 ```{note}
-This library depends on array-api-compat. We aim for compatibility with
+This library depends on `array-api-compat`. We aim for compatibility with
 the latest released version of array-api-compat, and your mileage may vary
 with older or dev versions.
 ```
@@ -69,8 +72,8 @@ and copy it into the appropriate place in your library, like:
 cp -a array-api-extra/src/array_api_extra mylib/vendored/
 ```
 
-`array-api-extra` depends on `array-api-compat`. You may either add a dependency
-in your own project to `array-api-compat` or vendor it too:
+You may either add a dependency to array-api-compat in your own project, or
+vendor it too:
 
 1. Clone
    [the array-api-compat repository](https://github.com/data-apis/array-api-compat)
@@ -81,14 +84,14 @@ in your own project to `array-api-compat` or vendor it too:
    ```
 
 2. Create a new hook file which array-api-extra will use instead of the
-   top-level `array-api-compat` if present:
+   top-level array-api-compat if present:
 
    ```
    echo 'from mylib.vendored.array_api_compat import *' > mylib/vendored/_array_api_compat_vendor.py
    ```
 
-This also allows overriding `array-api-compat` functions if you so wish. E.g.
-your `mylib/vendored/_array_api_compat_vendor.py` could look like this:
+This also allows overriding array-api-compat functions if you so wish. E.g. your
+`mylib/vendored/_array_api_compat_vendor.py` could look like this:
 
 ```python
 from mylib.vendored.array_api_compat import *
@@ -104,6 +107,13 @@ def array_namespace(*xs, **kwargs):
         return _array_namespace_orig(*xs, **kwargs)
 ```
 
+```{tip}
+See [an example of this in SciPy][scipy-vendor-example].
+```
+
+[scipy-vendor-example]:
+https://github.com/scipy/scipy/blob/main/scipy/_lib/_array_api_compat_vendor.py
+
 (usage)=
 
 ## Usage
@@ -115,9 +125,9 @@ import array_api_extra as xpx
 
 ...
 xp = array_namespace(x)
-y = xp.sum(x)
+y = xp.sum(x)  # use functions from `xp` as normal
 ...
-return xpx.atleast_nd(y, ndim=2, xp=xp)
+return xpx.atleast_nd(y, ndim=2, xp=xp)  # use functions from `xpx`, passing `xp=xp`
 ```
 
 ```{note}
@@ -131,13 +141,13 @@ is called internally to determine the namespace.
 ```
 
 In the examples shown in the docstrings of functions from this library,
-[`array-api-strict`](https://data-apis.org/array-api-strict/) is used as the
-array namespace `xp`. In reality, code using this library will be written to
-work with any compatible array namespace as `xp`, not any particular
-implementation.
+[array-api-strict](https://data-apis.org/array-api-strict/) is used as the array
+namespace `xp`. In reality, code using this library will be written to work with
+any compatible array namespace as `xp`, not any particular implementation.
 
-Some functions may only work with array libraries supported by array-api-compat.
-This will be clearly indicated in the docs.
+Some functions may only work with specific array libraries supported by
+array-api-compat. This should be clearly indicated in the docs - please open an
+issue if this is not the case!
 
 (scope)=
 
@@ -151,13 +161,17 @@ Functions that are in-scope for this library will:
   libraries.
 - Be implemented with type annotations and
   [numpydoc-style docstrings](https://numpydoc.readthedocs.io/en/latest/format.html).
-- Be tested against `array-api-strict`.
+- Be tested against array-api-strict and various existing backends.
 
 Functions are implemented purely in terms of the array API standard where
 possible. Where functions must use library-specific helpers for libraries
 supported by array-api-compat, this will be clearly marked in their API
 reference page.
 
+Delegation is added for some functions to use native implementations for the
+given array type, instead of the array-agnostic implementations, as this may
+increase performance.
+
 In particular, the following kinds of function are also in-scope:
 
 - Functions which implement
@@ -168,15 +182,12 @@ In particular, the following kinds of function are also in-scope:
 
 The following features are currently out-of-scope for this library:
 
-- Delegation to known, existing array libraries (unless necessary).
-  - It is quite simple to wrap functions in this library to also use existing
-    implementations. Such delegation will not live in this library for now, but
-    the array-agnostic functions in this library could form an array-agnostic
-    backend for such delegating functions in the future, here or elsewhere.
 - Functions which accept "array-like" input, or standard-incompatible
   namespaces.
   - It is possible to prepare input arrays and a standard-compatible namespace
-    via `array-api-compat` downstream in consumer libraries.
+    via array-api-compat downstream in consumer libraries. The `xp` argument can
+    also be omitted to infer the standard-compatible namespace using
+    `array_namespace` internally.
 - Functions which are specific to a particular domain.
   - These functions may belong better in an array-consuming library which is
     specific to that domain.
diff --git a/pixi.lock b/pixi.lock
index ed262f2f..153a692b 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -11,7 +11,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/linux-64/_openmp_mutex-4.5-2_kmp_llvm.tar.bz2
       - conda: https://prefix.dev/conda-forge/noarch/array-api-compat-1.10.0-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/array-api-strict-2.2-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/aws-c-auth-0.8.0-hb921021_15.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/aws-c-auth-0.8.0-h205f482_16.conda
       - conda: https://prefix.dev/conda-forge/linux-64/aws-c-cal-0.8.1-h1a47875_3.conda
       - conda: https://prefix.dev/conda-forge/linux-64/aws-c-common-0.10.6-hb9d3cd8_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/aws-c-compression-0.3.0-h4e1184b_5.conda
@@ -20,10 +20,10 @@ environments:
       - conda: https://prefix.dev/conda-forge/linux-64/aws-c-io-0.15.3-h831e299_5.conda
       - conda: https://prefix.dev/conda-forge/linux-64/aws-c-mqtt-0.11.0-h11f4f37_12.conda
       - conda: https://prefix.dev/conda-forge/linux-64/aws-c-s3-0.7.7-hf454442_0.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/aws-c-sdkutils-0.2.1-h4e1184b_4.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/aws-c-sdkutils-0.2.2-h4e1184b_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/aws-checksums-0.2.2-h4e1184b_4.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/aws-crt-cpp-0.29.7-hd92328a_7.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/aws-sdk-cpp-1.11.458-hc430e4a_4.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/aws-crt-cpp-0.29.8-h8570fcd_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/aws-sdk-cpp-1.11.458-h7001638_5.conda
       - conda: https://prefix.dev/conda-forge/linux-64/azure-core-cpp-1.14.0-h5cfcd09_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/azure-identity-cpp-1.10.0-h113e628_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/azure-storage-blobs-cpp-12.13.0-h3cf044e_1.conda
@@ -68,15 +68,15 @@ environments:
       - conda: https://prefix.dev/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda
       - conda: https://prefix.dev/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2
       - conda: https://prefix.dev/conda-forge/linux-64/libabseil-20240722.0-cxx17_hbbce691_4.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-18.1.0-hd595efa_7_cpu.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-acero-18.1.0-hcb10f89_7_cpu.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-dataset-18.1.0-hcb10f89_7_cpu.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-substrait-18.1.0-h08228c5_7_cpu.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/libblas-3.9.0-26_linux64_openblas.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-18.1.0-h9d9f30d_8_cpu.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libarrow-acero-18.1.0-hcb10f89_8_cpu.conda
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+  - libcblas 3.9.0 26_linux64_mkl
+  - liblapacke 3.9.0 26_linux64_mkl
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+  - blas_mkl
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-  md5: a070bb62918bea542fbb092c2abd7004
+- conda: https://prefix.dev/conda-forge/linux-64/libtorch-2.5.1-cpu_mkl_ha4c6a95_109.conda
+  sha256: 021dd776fc6482b31bcc27330d262f9a7df54bc3d199e9af2dfcc513d0320d2c
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+  - libblas * *mkl
   - libcblas >=3.9.0,<4.0a0
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@@ -6734,20 +6785,21 @@ packages:
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   constrains:
   - pytorch-cpu ==2.5.1
-  - pytorch 2.5.1 cpu_mkl_*_108
   - pytorch-gpu ==99999999
+  - pytorch 2.5.1 cpu_mkl_*_109
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   license_family: BSD
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+  md5: ad9069009d26de3551e1053fa77a6355
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+  - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
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   - liblapack >=3.9.0,<4.0a0
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-  - pytorch 2.5.1 cpu_generic_*_8
-  - pytorch-gpu ==99999999
   - pytorch-cpu ==2.5.1
+  - pytorch 2.5.1 cpu_generic_*_9
+  - openblas * openmp_*
+  - pytorch-gpu ==99999999
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 28266322
-  timestamp: 1736093877602
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+  timestamp: 1736896460239
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-- conda: https://prefix.dev/conda-forge/linux-64/ml_dtypes-0.5.0-py310h5eaa309_0.conda
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-  md5: 431846c13cf7b44ef56d6a6be8143727
+- conda: https://prefix.dev/conda-forge/linux-64/ml_dtypes-0.5.1-py310h5eaa309_0.conda
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+  md5: 080f68e04d194abdba4a0a6a5178bf61
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   - libgcc >=13
@@ -7376,14 +7429,14 @@ packages:
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-  size: 285598
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-- conda: https://prefix.dev/conda-forge/osx-arm64/ml_dtypes-0.5.0-py310hfd37619_0.conda
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+  size: 283388
+  timestamp: 1736538961486
+- conda: https://prefix.dev/conda-forge/osx-arm64/ml_dtypes-0.5.1-py310h5936506_0.conda
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+  md5: 23c80623fc06fa0fa60237b14674cc69
   depends:
   - __osx >=11.0
-  - libcxx >=17
+  - libcxx >=18
   - numpy >=1.19,<3
   - python >=3.10,<3.11.0a0
   - python >=3.10,<3.11.0a0 *_cpython
@@ -7391,8 +7444,8 @@ packages:
   license: MPL-2.0 AND Apache-2.0
   purls:
   - pkg:pypi/ml-dtypes?source=hash-mapping
-  size: 201729
-  timestamp: 1726376542680
+  size: 202079
+  timestamp: 1736539243508
 - conda: https://prefix.dev/conda-forge/linux-64/mpc-1.3.1-h24ddda3_1.conda
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@@ -7525,25 +7578,25 @@ packages:
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   size: 72901
   timestamp: 1734472043484
-- conda: https://prefix.dev/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
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-  md5: 70caf8bb6cf39a0b6b7efc885f51c0fe
+- conda: https://prefix.dev/conda-forge/linux-64/ncurses-6.5-h2d0b736_2.conda
+  sha256: 17fe6afd8a00446010220d52256bd222b1e4fcb93bd587e7784b03219f3dc358
+  md5: 04b34b9a40cdc48cfdab261ab176ff74
   depends:
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-  - libgcc-ng >=12
+  - libgcc >=13
   license: X11 AND BSD-3-Clause
   purls: []
-  size: 889086
-  timestamp: 1724658547447
-- conda: https://prefix.dev/conda-forge/osx-arm64/ncurses-6.5-h7bae524_1.conda
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+  size: 894452
+  timestamp: 1736683239706
+- conda: https://prefix.dev/conda-forge/osx-arm64/ncurses-6.5-h5e97a16_2.conda
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+  md5: f6f7c5b7d0983be186c46c4f6f8f9af8
   depends:
   - __osx >=11.0
   license: X11 AND BSD-3-Clause
   purls: []
-  size: 802321
-  timestamp: 1724658775723
+  size: 796754
+  timestamp: 1736683572099
 - conda: https://prefix.dev/conda-forge/noarch/networkx-3.4.2-pyh267e887_2.conda
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@@ -7613,9 +7666,9 @@ packages:
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   timestamp: 1734108943224
-- conda: https://prefix.dev/conda-forge/noarch/nodejs-wheel-22.12.0-pyhd8ed1ab_0.conda
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-  md5: 0c0b2dd84667461e950e9297de8aceb9
+- conda: https://prefix.dev/conda-forge/noarch/nodejs-wheel-22.13.0-pyhd8ed1ab_0.conda
+  sha256: 6c36ec2f56105bd6bfe572b8ce7b6b4eb770a2c3db3655d99ead99c5a8b1a5d7
+  md5: 17efc155ae707cdc9fe2970ebd74ee01
   depends:
   - nodejs
   - python >=3.9
@@ -7623,8 +7676,8 @@ packages:
   license_family: MIT
   purls:
   - pkg:pypi/nodejs-wheel-binaries?source=hash-mapping
-  size: 11797
-  timestamp: 1734322201782
+  size: 11810
+  timestamp: 1736400170073
 - conda: https://prefix.dev/conda-forge/noarch/nomkl-1.0-h5ca1d4c_0.tar.bz2
   sha256: d38542a151a90417065c1a234866f97fd1ea82a81de75ecb725955ab78f88b4b
   md5: 9a66894dfd07c4510beb6b3f9672ccc0
@@ -8518,6 +8571,7 @@ packages:
   depends:
   - python >=3.9
   license: BSD-2-Clause
+  license_family: BSD
   purls:
   - pkg:pypi/pygments?source=hash-mapping
   size: 888600
@@ -8627,10 +8681,10 @@ packages:
   purls: []
   size: 25199631
   timestamp: 1733409331823
-- conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_103_cp313.conda
-  build_number: 103
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-  md5: 899de8f76e198a36bc5a36132a6db887
+- conda: https://prefix.dev/conda-forge/linux-64/python-3.13.1-ha99a958_105_cp313.conda
+  build_number: 105
+  sha256: d3eb7d0820cf0189103bba1e60e242ffc15fd2f727640ac3a10394b27adf3cca
+  md5: 34945787453ee52a8f8271c1d19af1e8
   depends:
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   - bzip2 >=1.0.8,<2.0a0
@@ -8651,8 +8705,8 @@ packages:
   - tzdata
   license: Python-2.0
   purls: []
-  size: 33262248
-  timestamp: 1736273267565
+  size: 33169840
+  timestamp: 1736763984540
 - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.10.16-h870587a_1_cpython.conda
   build_number: 1
   sha256: cd617b15712c4f9316b22c75459311ed106ccb0659c0bf36e281a9162b4e2d95
@@ -8675,10 +8729,10 @@ packages:
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   size: 12372048
   timestamp: 1733408850559
-- conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_103_cp313.conda
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-  md5: b43efdca6d96347894527844a4cdd5c8
+- conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.1-h4f43103_105_cp313.conda
+  build_number: 105
+  sha256: 7d27cc8ef214abbdf7dd8a5d473e744f4bd9beb7293214a73c58e4895c2830b8
+  md5: 11d916b508764b7d881dd5c75d222d6e
   depends:
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@@ -8696,8 +8750,8 @@ packages:
   - tzdata
   license: Python-2.0
   purls: []
-  size: 11727435
-  timestamp: 1736271845822
+  size: 12919840
+  timestamp: 1736761931666
 - conda: https://prefix.dev/conda-forge/win-64/python-3.10.16-h37870fc_1_cpython.conda
   build_number: 1
   sha256: 3392db6a7a90864d3fd1ce281859a49e27ee68121b63eece2ae6f1dbb2a8aaf1
@@ -8720,10 +8774,10 @@ packages:
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   size: 16061214
   timestamp: 1733408154785
-- conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_103_cp313.conda
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-  md5: 884ad80bf8454b8feff00b1f77a3dda9
+- conda: https://prefix.dev/conda-forge/win-64/python-3.13.1-h071d269_105_cp313.conda
+  build_number: 105
+  sha256: de3bb832ff3982c993c6af15e6c45bb647159f25329caceed6f73fd4769c7628
+  md5: 3ddb0531ecfb2e7274d471203e053d78
   depends:
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   - libexpat >=2.6.4,<3.0a0
@@ -8741,8 +8795,8 @@ packages:
   - vc14_runtime >=14.29.30139
   license: Python-2.0
   purls: []
-  size: 16841405
-  timestamp: 1736270799704
+  size: 16778758
+  timestamp: 1736761341620
 - conda: https://prefix.dev/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda
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@@ -8832,9 +8886,9 @@ packages:
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   timestamp: 1723823166911
-- conda: https://prefix.dev/conda-forge/linux-64/pytorch-2.5.1-cpu_mkl_py310_h27a6d43_108.conda
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-  md5: 9aec633b09fd455e84a637454068bfa8
+- conda: https://prefix.dev/conda-forge/linux-64/pytorch-2.5.1-cpu_mkl_py310_h1c118fa_109.conda
+  sha256: c1fcbc00995e84ce54a48301b57c90101b99e6f230873765efdf70d8e52282db
+  md5: 7ae3aba3aed36993e7700b7c9e2b8cfb
   depends:
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   - _openmp_mutex >=4.5
@@ -8843,6 +8897,7 @@ packages:
   - jinja2
   - libabseil * cxx17*
   - libabseil >=20240722.0,<20240723.0a0
+  - libblas * *mkl
   - libcblas >=3.9.0,<4.0a0
   - libgcc >=13
   - libprotobuf >=5.28.3,<5.28.4.0a0
@@ -8865,11 +8920,11 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/torch?source=hash-mapping
-  size: 34307765
-  timestamp: 1736090964088
-- conda: https://prefix.dev/conda-forge/osx-arm64/pytorch-2.5.1-cpu_generic_py310_h3256795_8.conda
-  sha256: 2f548d400e5014028b89339889768093730e0cf2e3e5d7c7ece9eddde646a0a2
-  md5: 16985e88a59d007aa4d0a8b13f820e7c
+  size: 34033082
+  timestamp: 1736831182336
+- conda: https://prefix.dev/conda-forge/osx-arm64/pytorch-2.5.1-cpu_generic_py310_h3256795_9.conda
+  sha256: c2f85319da078b86e81523b6a92c5761342123ed5b7bf8828082e34eab59cbc4
+  md5: 5472d797227aa217036da7ec899358c5
   depends:
   - __osx >=11.0
   - filelock
@@ -8895,14 +8950,14 @@ packages:
   - sympy >=1.13.1,!=1.13.2
   - typing_extensions
   constrains:
-  - pytorch-gpu ==99999999
   - pytorch-cpu ==2.5.1
+  - pytorch-gpu ==99999999
   license: BSD-3-Clause
   license_family: BSD
   purls:
   - pkg:pypi/torch?source=hash-mapping
-  size: 22573321
-  timestamp: 1736094550662
+  size: 22861302
+  timestamp: 1736897435420
 - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
   sha256: 1a7d6b233f7e6e3bbcbad054c8fd51e690a67b129a899a056a5e45dd9f00cb41
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@@ -9097,9 +9152,9 @@ packages:
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   timestamp: 1734415467047
-- conda: https://prefix.dev/conda-forge/linux-64/scipy-1.15.0-py310hfa6ec8c_0.conda
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-  md5: 5af85973838c580ab7f4f72008c8b237
+- conda: https://prefix.dev/conda-forge/linux-64/scipy-1.15.1-py310hfa6ec8c_0.conda
+  sha256: 9941f3bc9af712e60ce7b3910f9da0298f6b6f4c0b4fbc85f43b3db6342e21e4
+  md5: a24baa04ee53ee3078ac1856887c3dea
   depends:
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   - libblas >=3.9.0,<4.0a0
@@ -9109,7 +9164,7 @@ packages:
   - libgfortran5 >=13.3.0
   - liblapack >=3.9.0,<4.0a0
   - libstdcxx >=13
-  - numpy <2.3
+  - numpy <2.5
   - numpy >=1.19,<3
   - numpy >=1.23.5
   - python >=3.10,<3.11.0a0
@@ -9118,11 +9173,11 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 18405029
-  timestamp: 1736010557840
-- conda: https://prefix.dev/conda-forge/osx-arm64/scipy-1.15.0-py310hd50a768_0.conda
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-  md5: b1c91b7bfece72a5bf5f03dc0b7a3055
+  size: 18436262
+  timestamp: 1736618466062
+- conda: https://prefix.dev/conda-forge/osx-arm64/scipy-1.15.1-py310hd50a768_0.conda
+  sha256: 387cacd510792d7c7cf86b46374f2885b06f3b9505067cf9d9742a7034aa79bf
+  md5: 8e181e12d183fd4e44fc2f941cfe8f47
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -9131,7 +9186,7 @@ packages:
   - libgfortran 5.*
   - libgfortran5 >=13.2.0
   - liblapack >=3.9.0,<4.0a0
-  - numpy <2.3
+  - numpy <2.5
   - numpy >=1.19,<3
   - numpy >=1.23.5
   - python >=3.10,<3.11.0a0
@@ -9141,16 +9196,16 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 15057534
-  timestamp: 1736010232496
-- conda: https://prefix.dev/conda-forge/win-64/scipy-1.15.0-py310h164493e_0.conda
-  sha256: c06c0722006125176005e77a9d739d19eb4003c315b0092fc5358a9005f6abb7
-  md5: eb011c11b5f60006cab90584b3a7053d
+  size: 14530851
+  timestamp: 1736618488135
+- conda: https://prefix.dev/conda-forge/win-64/scipy-1.15.1-py310h164493e_0.conda
+  sha256: 3b2342ce7edd3b8391cf321da8cb2bc50ac7dca36b3444b91f82688f9d0671dc
+  md5: 2b18926b32f740cb76d7cdaf983c1e6f
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
   - liblapack >=3.9.0,<4.0a0
-  - numpy <2.3
+  - numpy <2.5
   - numpy >=1.19,<3
   - numpy >=1.23.5
   - python >=3.10,<3.11.0a0
@@ -9162,19 +9217,19 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
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-- conda: https://prefix.dev/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda
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-  md5: fc80f7995e396cbaeabd23cf46c413dc
+  size: 16956039
+  timestamp: 1736619650525
+- conda: https://prefix.dev/conda-forge/noarch/setuptools-75.8.0-pyhff2d567_0.conda
+  sha256: e0778e4f276e9a81b51c56f51ec22a27b4d8fc955abc0be77ad09ca9bea06bb9
+  md5: 8f28e299c11afdd79e0ec1e279dcdc52
   depends:
   - python >=3.9
   license: MIT
   license_family: MIT
   purls:
   - pkg:pypi/setuptools?source=hash-mapping
-  size: 774252
-  timestamp: 1732632769210
+  size: 775598
+  timestamp: 1736512753595
 - conda: https://prefix.dev/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda
   sha256: 41db0180680cc67c3fa76544ffd48d6a5679d96f4b71d7498a759e94edc9a2db
   md5: a451d576819089b0d672f18768be0f65
diff --git a/pyproject.toml b/pyproject.toml
index a5594541..fee54b1a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -177,7 +177,11 @@ tests-backends = ["py310", "tests", "backends", "cuda-backends"]
 minversion = "6.0"
 addopts = ["-ra", "--showlocals", "--strict-markers", "--strict-config"]
 xfail_strict = true
-filterwarnings = ["error"]
+filterwarnings = [
+    "error",
+    # TODO: when Python 3.10 is dropped, use `enum.member` in `_delegation.py`
+    "ignore:functools.partial will be a method descriptor:FutureWarning",
+]
 log_cli_level = "INFO"
 testpaths = ["tests"]
 markers = ["skip_xp_backend(library, *, reason=None): Skip test for a specific backend"]
diff --git a/src/array_api_extra/__init__.py b/src/array_api_extra/__init__.py
index 3f973307..57d728ef 100644
--- a/src/array_api_extra/__init__.py
+++ b/src/array_api_extra/__init__.py
@@ -1,6 +1,7 @@
 """Extra array functions built on top of the array API standard."""
 
-from ._funcs import (
+from ._delegation import pad
+from ._lib._funcs import (
     at,
     atleast_nd,
     cov,
@@ -8,7 +9,6 @@
     expand_dims,
     kron,
     nunique,
-    pad,
     setdiff1d,
     sinc,
 )
diff --git a/src/array_api_extra/_delegation.py b/src/array_api_extra/_delegation.py
new file mode 100644
index 00000000..4a1740e6
--- /dev/null
+++ b/src/array_api_extra/_delegation.py
@@ -0,0 +1,83 @@
+"""Delegation to existing implementations for Public API Functions."""
+
+from types import ModuleType
+from typing import Literal
+
+from ._lib import Backend, _funcs
+from ._lib._utils._compat import array_namespace
+from ._lib._utils._typing import Array
+
+__all__ = ["pad"]
+
+
+def _delegate(xp: ModuleType, *backends: Backend) -> bool:
+    """
+    Check whether `xp` is one of the `backends` to delegate to.
+
+    Parameters
+    ----------
+    xp : array_namespace
+        Array namespace to check.
+    *backends : IsNamespace
+        Arbitrarily many backends (from the ``IsNamespace`` enum) to check.
+
+    Returns
+    -------
+    bool
+        ``True`` if `xp` matches one of the `backends`, ``False`` otherwise.
+    """
+    return any(backend.is_namespace(xp) for backend in backends)
+
+
+def pad(
+    x: Array,
+    pad_width: int | tuple[int, int] | list[tuple[int, int]],
+    mode: Literal["constant"] = "constant",
+    *,
+    constant_values: bool | int | float | complex = 0,
+    xp: ModuleType | None = None,
+) -> Array:
+    """
+    Pad the input array.
+
+    Parameters
+    ----------
+    x : array
+        Input array.
+    pad_width : int or tuple of ints or list of pairs of ints
+        Pad the input array with this many elements from each side.
+        If a list of tuples, ``[(before_0, after_0), ... (before_N, after_N)]``,
+        each pair applies to the corresponding axis of ``x``.
+        A single tuple, ``(before, after)``, is equivalent to a list of ``x.ndim``
+        copies of this tuple.
+    mode : str, optional
+        Only "constant" mode is currently supported, which pads with
+        the value passed to `constant_values`.
+    constant_values : python scalar, optional
+        Use this value to pad the input. Default is zero.
+    xp : array_namespace, optional
+        The standard-compatible namespace for `x`. Default: infer.
+
+    Returns
+    -------
+    array
+        The input array,
+        padded with ``pad_width`` elements equal to ``constant_values``.
+    """
+    xp = array_namespace(x) if xp is None else xp
+
+    if mode != "constant":
+        msg = "Only `'constant'` mode is currently supported"
+        raise NotImplementedError(msg)
+
+    # https://github.com/pytorch/pytorch/blob/cf76c05b4dc629ac989d1fb8e789d4fac04a095a/torch/_numpy/_funcs_impl.py#L2045-L2056
+    if _delegate(xp, Backend.TORCH):
+        pad_width = xp.asarray(pad_width)
+        pad_width = xp.broadcast_to(pad_width, (x.ndim, 2))
+        pad_width = xp.flip(pad_width, axis=(0,)).flatten()
+        return xp.nn.functional.pad(x, tuple(pad_width), value=constant_values)  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
+
+    if _delegate(xp, Backend.NUMPY, Backend.JAX_NUMPY, Backend.CUPY):
+        return xp.pad(x, pad_width, mode, constant_values=constant_values)
+
+    return _funcs.pad(x, pad_width, constant_values=constant_values, xp=xp)
diff --git a/src/array_api_extra/_lib/__init__.py b/src/array_api_extra/_lib/__init__.py
index d7a79525..b83d7e8c 100644
--- a/src/array_api_extra/_lib/__init__.py
+++ b/src/array_api_extra/_lib/__init__.py
@@ -1 +1,5 @@
-"""Modules housing private functions."""
+"""Internals of array-api-extra."""
+
+from ._backends import Backend
+
+__all__ = ["Backend"]
diff --git a/src/array_api_extra/_lib/_backends.py b/src/array_api_extra/_lib/_backends.py
new file mode 100644
index 00000000..93c43272
--- /dev/null
+++ b/src/array_api_extra/_lib/_backends.py
@@ -0,0 +1,59 @@
+"""Backends with which array-api-extra interacts in delegation and testing."""
+
+from collections.abc import Callable
+from enum import Enum
+from types import ModuleType
+from typing import cast
+
+from ._utils import _compat
+
+__all__ = ["Backend"]
+
+
+class Backend(Enum):  # numpydoc ignore=PR01,PR02  # type: ignore[no-subclass-any]
+    """
+    All array library backends explicitly tested by array-api-extra.
+
+    Parameters
+    ----------
+    value : str
+        String describing the backend.
+    is_namespace : Callable[[ModuleType], bool]
+        Function to check whether an input module is the array namespace
+        corresponding to the backend.
+    module_name : str
+        Name of the backend's module.
+    """
+
+    ARRAY_API_STRICT = (
+        "array_api_strict",
+        _compat.is_array_api_strict_namespace,
+        "array_api_strict",
+    )
+    NUMPY = "numpy", _compat.is_numpy_namespace, "numpy"
+    NUMPY_READONLY = "numpy_readonly", _compat.is_numpy_namespace, "numpy"
+    CUPY = "cupy", _compat.is_cupy_namespace, "cupy"
+    TORCH = "torch", _compat.is_torch_namespace, "torch"
+    DASK_ARRAY = "dask.array", _compat.is_dask_namespace, "dask.array"
+    SPARSE = "sparse", _compat.is_pydata_sparse_namespace, "sparse"
+    JAX_NUMPY = "jax.numpy", _compat.is_jax_namespace, "jax.numpy"
+
+    def __new__(
+        cls, value: str, _is_namespace: Callable[[ModuleType], bool], _module_name: str
+    ):  # numpydoc ignore=GL08
+        obj = object.__new__(cls)
+        obj._value_ = value
+        return obj
+
+    def __init__(
+        self,
+        value: str,  # noqa: ARG002  # pylint: disable=unused-argument
+        is_namespace: Callable[[ModuleType], bool],
+        module_name: str,
+    ):  # numpydoc ignore=GL08
+        self.is_namespace = is_namespace
+        self.module_name = module_name
+
+    def __str__(self) -> str:  # type: ignore[explicit-override]  # pyright: ignore[reportImplicitOverride]  # numpydoc ignore=RT01
+        """Pretty-print parameterized test names."""
+        return cast(str, self.value)
diff --git a/src/array_api_extra/_funcs.py b/src/array_api_extra/_lib/_funcs.py
similarity index 95%
rename from src/array_api_extra/_funcs.py
rename to src/array_api_extra/_lib/_funcs.py
index 017c7297..320e5455 100644
--- a/src/array_api_extra/_funcs.py
+++ b/src/array_api_extra/_lib/_funcs.py
@@ -1,4 +1,4 @@
-"""Public API Functions."""
+"""Array-agnostic implementations for the public API."""
 
 # https://github.com/scikit-learn/scikit-learn/pull/27910#issuecomment-2568023972
 from __future__ import annotations
@@ -11,13 +11,9 @@
 from types import ModuleType
 from typing import ClassVar, cast
 
-from ._lib import _compat, _utils
-from ._lib._compat import (
-    array_namespace,
-    is_jax_array,
-    is_writeable_array,
-)
-from ._lib._typing import Array, Index
+from ._utils import _compat, _helpers
+from ._utils._compat import array_namespace, is_jax_array, is_writeable_array
+from ._utils._typing import Array, Index
 
 __all__ = [
     "at",
@@ -151,7 +147,7 @@ def cov(m: Array, /, *, xp: ModuleType | None = None) -> Array:
     m = atleast_nd(m, ndim=2, xp=xp)
     m = xp.astype(m, dtype)
 
-    avg = _utils.mean(m, axis=1, xp=xp)
+    avg = _helpers.mean(m, axis=1, xp=xp)
     fact = m.shape[1] - 1
 
     if fact <= 0:
@@ -467,7 +463,7 @@ def setdiff1d(
     else:
         x1 = xp.unique_values(x1)
         x2 = xp.unique_values(x2)
-    return x1[_utils.in1d(x1, x2, assume_unique=True, invert=True, xp=xp)]
+    return x1[_helpers.in1d(x1, x2, assume_unique=True, invert=True, xp=xp)]
 
 
 def sinc(x: Array, /, *, xp: ModuleType | None = None) -> Array:
@@ -562,44 +558,11 @@ def sinc(x: Array, /, *, xp: ModuleType | None = None) -> Array:
 def pad(
     x: Array,
     pad_width: int | tuple[int, int] | list[tuple[int, int]],
-    mode: str = "constant",
     *,
-    xp: ModuleType | None = None,
     constant_values: bool | int | float | complex = 0,
-) -> Array:
-    """
-    Pad the input array.
-
-    Parameters
-    ----------
-    x : array
-        Input array.
-    pad_width : int or tuple of ints or list of pairs of ints
-        Pad the input array with this many elements from each side.
-        If a list of tuples, ``[(before_0, after_0), ... (before_N, after_N)]``,
-        each pair applies to the corresponding axis of ``x``.
-        A single tuple, ``(before, after)``, is equivalent to a list of ``x.ndim``
-        copies of this tuple.
-    mode : str, optional
-        Only "constant" mode is currently supported, which pads with
-        the value passed to `constant_values`.
-    xp : array_namespace, optional
-        The standard-compatible namespace for `x`. Default: infer.
-    constant_values : python scalar, optional
-        Use this value to pad the input. Default is zero.
-
-    Returns
-    -------
-    array
-        The input array,
-        padded with ``pad_width`` elements equal to ``constant_values``.
-    """
-    if mode != "constant":
-        msg = "Only `'constant'` mode is currently supported"
-        raise NotImplementedError(msg)
-
-    value = constant_values
-
+    xp: ModuleType,
+) -> Array:  # numpydoc ignore=PR01,RT01
+    """See docstring in `array_api_extra._delegation.py`."""
     # make pad_width a list of length-2 tuples of ints
     x_ndim = cast(int, x.ndim)
     if isinstance(pad_width, int):
@@ -607,9 +570,6 @@ def pad(
     if isinstance(pad_width, tuple):
         pad_width = [pad_width] * x_ndim
 
-    if xp is None:
-        xp = array_namespace(x)
-
     # https://github.com/python/typeshed/issues/13376
     slices: list[slice] = []  # type: ignore[no-any-explicit]
     newshape: list[int] = []
@@ -633,7 +593,7 @@ def pad(
 
     padded = xp.full(
         tuple(newshape),
-        fill_value=value,
+        fill_value=constant_values,
         dtype=x.dtype,
         device=_compat.device(x),
     )
diff --git a/src/array_api_extra/_lib/_testing.py b/src/array_api_extra/_lib/_testing.py
index b866012f..b6993a16 100644
--- a/src/array_api_extra/_lib/_testing.py
+++ b/src/array_api_extra/_lib/_testing.py
@@ -4,13 +4,15 @@
 Note that this is private API; don't expect it to be stable.
 """
 
-from ._compat import (
+from types import ModuleType
+
+from ._utils._compat import (
     array_namespace,
     is_cupy_namespace,
     is_pydata_sparse_namespace,
     is_torch_namespace,
 )
-from ._typing import Array, ModuleType
+from ._utils._typing import Array
 
 __all__ = ["xp_assert_close", "xp_assert_equal"]
 
diff --git a/src/array_api_extra/_lib/_utils/__init__.py b/src/array_api_extra/_lib/_utils/__init__.py
new file mode 100644
index 00000000..3628c45f
--- /dev/null
+++ b/src/array_api_extra/_lib/_utils/__init__.py
@@ -0,0 +1 @@
+"""Modules housing private utility functions."""
diff --git a/src/array_api_extra/_lib/_compat.py b/src/array_api_extra/_lib/_utils/_compat.py
similarity index 71%
rename from src/array_api_extra/_lib/_compat.py
rename to src/array_api_extra/_lib/_utils/_compat.py
index 7d843f19..d7f7e83a 100644
--- a/src/array_api_extra/_lib/_compat.py
+++ b/src/array_api_extra/_lib/_utils/_compat.py
@@ -3,12 +3,15 @@
 # `array-api-compat` to override the import location
 
 try:
-    from ..._array_api_compat_vendor import (  # pyright: ignore[reportMissingImports]
+    from ...._array_api_compat_vendor import (  # pyright: ignore[reportMissingImports]
         array_namespace,
         device,
+        is_array_api_strict_namespace,
         is_cupy_namespace,
+        is_dask_namespace,
         is_jax_array,
         is_jax_namespace,
+        is_numpy_namespace,
         is_pydata_sparse_namespace,
         is_torch_namespace,
         is_writeable_array,
@@ -18,9 +21,12 @@
     from array_api_compat import (  # pyright: ignore[reportMissingTypeStubs]
         array_namespace,
         device,
+        is_array_api_strict_namespace,
         is_cupy_namespace,
+        is_dask_namespace,
         is_jax_array,
         is_jax_namespace,
+        is_numpy_namespace,
         is_pydata_sparse_namespace,
         is_torch_namespace,
         is_writeable_array,
@@ -30,9 +36,12 @@
 __all__ = [
     "array_namespace",
     "device",
+    "is_array_api_strict_namespace",
     "is_cupy_namespace",
+    "is_dask_namespace",
     "is_jax_array",
     "is_jax_namespace",
+    "is_numpy_namespace",
     "is_pydata_sparse_namespace",
     "is_torch_namespace",
     "is_writeable_array",
diff --git a/src/array_api_extra/_lib/_compat.pyi b/src/array_api_extra/_lib/_utils/_compat.pyi
similarity index 62%
rename from src/array_api_extra/_lib/_compat.pyi
rename to src/array_api_extra/_lib/_utils/_compat.pyi
index 8532584c..6086dcfe 100644
--- a/src/array_api_extra/_lib/_compat.pyi
+++ b/src/array_api_extra/_lib/_utils/_compat.pyi
@@ -18,10 +18,13 @@ def array_namespace(
     use_compat: bool | None = None,
 ) -> ArrayModule: ...
 def device(x: Array, /) -> Device: ...
-def is_cupy_namespace(x: object, /) -> bool: ...
+def is_array_api_strict_namespace(xp: ModuleType, /) -> bool: ...
+def is_cupy_namespace(xp: ModuleType, /) -> bool: ...
+def is_dask_namespace(xp: ModuleType, /) -> bool: ...
+def is_jax_namespace(xp: ModuleType, /) -> bool: ...
+def is_numpy_namespace(xp: ModuleType, /) -> bool: ...
+def is_torch_namespace(xp: ModuleType, /) -> bool: ...
 def is_jax_array(x: object, /) -> bool: ...
-def is_jax_namespace(x: object, /) -> bool: ...
-def is_pydata_sparse_namespace(x: object, /) -> bool: ...
-def is_torch_namespace(x: object, /) -> bool: ...
+def is_pydata_sparse_namespace(xp: ModuleType, /) -> bool: ...
 def is_writeable_array(x: object, /) -> bool: ...
 def size(x: Array, /) -> int | None: ...
diff --git a/src/array_api_extra/_lib/_utils.py b/src/array_api_extra/_lib/_utils/_helpers.py
similarity index 96%
rename from src/array_api_extra/_lib/_utils.py
rename to src/array_api_extra/_lib/_utils/_helpers.py
index afb4cfc4..84efcc35 100644
--- a/src/array_api_extra/_lib/_utils.py
+++ b/src/array_api_extra/_lib/_utils/_helpers.py
@@ -1,10 +1,12 @@
-"""Utility functions used by `array_api_extra/_funcs.py`."""
+"""Helper functions used by `array_api_extra/_funcs.py`."""
 
 # https://github.com/scikit-learn/scikit-learn/pull/27910#issuecomment-2568023972
 from __future__ import annotations
 
+from types import ModuleType
+
 from . import _compat
-from ._typing import Array, ModuleType
+from ._typing import Array
 
 __all__ = ["in1d", "mean"]
 
diff --git a/src/array_api_extra/_lib/_typing.py b/src/array_api_extra/_lib/_utils/_typing.py
similarity index 75%
rename from src/array_api_extra/_lib/_typing.py
rename to src/array_api_extra/_lib/_utils/_typing.py
index c612020f..83b51d04 100644
--- a/src/array_api_extra/_lib/_typing.py
+++ b/src/array_api_extra/_lib/_utils/_typing.py
@@ -1,6 +1,5 @@
 """Static typing helpers."""
 
-from types import ModuleType
 from typing import Any
 
 # To be changed to a Protocol later (see data-apis/array-api#589)
@@ -8,4 +7,4 @@
 Device = Any  # type: ignore[no-any-explicit]
 Index = Any  # type: ignore[no-any-explicit]
 
-__all__ = ["Array", "Device", "Index", "ModuleType"]
+__all__ = ["Array", "Device", "Index"]
diff --git a/tests/conftest.py b/tests/conftest.py
index 0bf3114f..4b07c205 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,47 +1,31 @@
 """Pytest fixtures."""
 
-from enum import Enum
+from types import ModuleType
 from typing import cast
 
 import pytest
 
-from array_api_extra._lib._compat import array_namespace
-from array_api_extra._lib._compat import device as get_device
-from array_api_extra._lib._typing import Device, ModuleType
+from array_api_extra._lib import Backend
+from array_api_extra._lib._utils._compat import array_namespace
+from array_api_extra._lib._utils._compat import device as get_device
+from array_api_extra._lib._utils._typing import Device
 
 
-class Library(Enum):
-    """All array libraries explicitly tested by array-api-extra."""
-
-    ARRAY_API_STRICT = "array_api_strict"
-    NUMPY = "numpy"
-    NUMPY_READONLY = "numpy_readonly"
-    CUPY = "cupy"
-    TORCH = "torch"
-    DASK_ARRAY = "dask.array"
-    SPARSE = "sparse"
-    JAX_NUMPY = "jax.numpy"
-
-    def __str__(self) -> str:  # type: ignore[explicit-override]  # pyright: ignore[reportImplicitOverride]  # numpydoc ignore=RT01
-        """Pretty-print parameterized test names."""
-        return self.value
-
-
-@pytest.fixture(params=tuple(Library))
-def library(request: pytest.FixtureRequest) -> Library:  # numpydoc ignore=PR01,RT03
+@pytest.fixture(params=tuple(Backend))
+def library(request: pytest.FixtureRequest) -> Backend:  # numpydoc ignore=PR01,RT03
     """
     Parameterized fixture that iterates on all libraries.
 
     Returns
     -------
-    The current Library enum.
+    The current Backend enum.
     """
-    elem = cast(Library, request.param)
+    elem = cast(Backend, request.param)
 
     for marker in request.node.iter_markers("skip_xp_backend"):
         skip_library = marker.kwargs.get("library") or marker.args[0]  # type: ignore[no-untyped-usage]
-        if not isinstance(skip_library, Library):
-            msg = "argument of skip_xp_backend must be a Library enum"
+        if not isinstance(skip_library, Backend):
+            msg = "argument of skip_xp_backend must be a Backend enum"
             raise TypeError(msg)
         if skip_library == elem:
             reason = cast(str, marker.kwargs.get("reason", "skip_xp_backend"))
@@ -51,7 +35,7 @@ def library(request: pytest.FixtureRequest) -> Library:  # numpydoc ignore=PR01,
 
 
 @pytest.fixture
-def xp(library: Library) -> ModuleType:  # numpydoc ignore=PR01,RT03
+def xp(library: Backend) -> ModuleType:  # numpydoc ignore=PR01,RT03
     """
     Parameterized fixture that iterates on all libraries.
 
@@ -59,9 +43,8 @@ def xp(library: Library) -> ModuleType:  # numpydoc ignore=PR01,RT03
     -------
     The current array namespace.
     """
-    name = "numpy" if library == Library.NUMPY_READONLY else library.value
-    xp = pytest.importorskip(name)
-    if library == Library.JAX_NUMPY:
+    xp = pytest.importorskip(library.module_name)
+    if library == Backend.JAX_NUMPY:
         import jax  # type: ignore[import-not-found]  # pyright: ignore[reportMissingImports]
 
         jax.config.update("jax_enable_x64", True)
@@ -72,14 +55,14 @@ def xp(library: Library) -> ModuleType:  # numpydoc ignore=PR01,RT03
 
 @pytest.fixture
 def device(
-    library: Library, xp: ModuleType
+    library: Backend, xp: ModuleType
 ) -> Device:  # numpydoc ignore=PR01,RT01,RT03
     """
     Return a valid device for the backend.
 
     Where possible, return a device that is not the default one.
     """
-    if library == Library.ARRAY_API_STRICT:
+    if library == Backend.ARRAY_API_STRICT:
         d = xp.Device("device1")
         assert get_device(xp.empty(0)) != d
         return d
diff --git a/tests/test_at.py b/tests/test_at.py
index ed56f615..e9159712 100644
--- a/tests/test_at.py
+++ b/tests/test_at.py
@@ -1,5 +1,6 @@
 from collections.abc import Callable, Generator
 from contextlib import contextmanager
+from types import ModuleType
 from typing import cast
 
 import numpy as np
@@ -11,17 +12,16 @@
 )
 
 from array_api_extra import at
-from array_api_extra._funcs import _AtOp
+from array_api_extra._lib import Backend
+from array_api_extra._lib._funcs import _AtOp
 from array_api_extra._lib._testing import xp_assert_equal
-from array_api_extra._lib._typing import Array, ModuleType
-
-from .conftest import Library
+from array_api_extra._lib._utils._typing import Array
 
 
 @pytest.fixture
-def array(library: Library, xp: ModuleType) -> Array:
+def array(library: Backend, xp: ModuleType) -> Array:
     x = xp.asarray([10.0, 20.0, 30.0])
-    if library == Library.NUMPY_READONLY:
+    if library == Backend.NUMPY_READONLY:
         x.flags.writeable = False
     return x
 
diff --git a/tests/test_funcs.py b/tests/test_funcs.py
index 201295da..5be4a9ad 100644
--- a/tests/test_funcs.py
+++ b/tests/test_funcs.py
@@ -1,5 +1,6 @@
 import contextlib
 import warnings
+from types import ModuleType
 
 import numpy as np
 import pytest
@@ -16,16 +17,15 @@
     setdiff1d,
     sinc,
 )
-from array_api_extra._lib._compat import device as get_device
+from array_api_extra._lib import Backend
 from array_api_extra._lib._testing import xp_assert_close, xp_assert_equal
-from array_api_extra._lib._typing import Array, Device, ModuleType
-
-from .conftest import Library
+from array_api_extra._lib._utils._compat import device as get_device
+from array_api_extra._lib._utils._typing import Array, Device
 
 # mypy: disable-error-code=no-untyped-usage
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no expand_dims")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no expand_dims")
 class TestAtLeastND:
     def test_0D(self, xp: ModuleType):
         x = xp.asarray(1.0)
@@ -97,7 +97,7 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(y, x)
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype")
 class TestCov:
     def test_basic(self, xp: ModuleType):
         xp_assert_close(
@@ -143,7 +143,7 @@ def test_xp(self, xp: ModuleType):
         )
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no device")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no device")
 class TestCreateDiagonal:
     def test_1d(self, xp: ModuleType):
         # from np.diag tests
@@ -189,10 +189,10 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(y, xp.asarray([[1, 0], [0, 2]]))
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no sparse.expand_dims")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no sparse.expand_dims")
 class TestExpandDims:
-    @pytest.mark.skip_xp_backend(Library.DASK_ARRAY, reason="tuple index out of range")
-    @pytest.mark.skip_xp_backend(Library.TORCH, reason="tuple index out of range")
+    @pytest.mark.skip_xp_backend(Backend.DASK_ARRAY, reason="tuple index out of range")
+    @pytest.mark.skip_xp_backend(Backend.TORCH, reason="tuple index out of range")
     def test_functionality(self, xp: ModuleType):
         def _squeeze_all(b: Array) -> Array:
             """Mimics `np.squeeze(b)`. `xpx.squeeze`?"""
@@ -250,7 +250,7 @@ def test_xp(self, xp: ModuleType):
         assert y.shape == (1, 1, 1, 3)
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no sparse.expand_dims")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no sparse.expand_dims")
 class TestKron:
     def test_basic(self, xp: ModuleType):
         # Using 0-dimensional array
@@ -329,11 +329,11 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(kron(a, b, xp=xp), k)
 
 
-@pytest.mark.skip_xp_backend(Library.DASK_ARRAY, reason="no argsort")
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no device")
+@pytest.mark.skip_xp_backend(Backend.DASK_ARRAY, reason="no argsort")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no device")
 class TestSetDiff1D:
     @pytest.mark.skip_xp_backend(
-        Library.TORCH, reason="index_select not implemented for uint32"
+        Backend.TORCH, reason="index_select not implemented for uint32"
     )
     def test_setdiff1d(self, xp: ModuleType):
         x1 = xp.asarray([6, 5, 4, 7, 1, 2, 7, 4])
@@ -374,7 +374,7 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(actual, expected)
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype")
 class TestSinc:
     def test_simple(self, xp: ModuleType):
         xp_assert_equal(sinc(xp.asarray(0.0)), xp.asarray(1.0))
@@ -401,7 +401,7 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(sinc(xp.asarray(0.0), xp=xp), xp.asarray(1.0))
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no arange, no device")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no arange, no device")
 class TestPad:
     def test_simple(self, xp: ModuleType):
         a = xp.arange(1, 4)
@@ -421,7 +421,7 @@ def test_ndim(self, xp: ModuleType):
     def test_mode_not_implemented(self, xp: ModuleType):
         a = xp.arange(3)
         with pytest.raises(NotImplementedError, match="Only `'constant'`"):
-            pad(a, 2, mode="edge")
+            pad(a, 2, mode="edge")  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
 
     def test_device(self, xp: ModuleType, device: Device):
         a = xp.asarray(0.0, device=device)
@@ -439,7 +439,7 @@ def test_tuple_width(self, xp: ModuleType):
         padded = pad(a, (1, 2))
         assert padded.shape == (6, 7)
 
-        with pytest.raises(ValueError, match="expect a 2-tuple"):
+        with pytest.raises((ValueError, RuntimeError)):
             pad(a, [(1, 2, 3)])  # type: ignore[list-item]  # pyright: ignore[reportArgumentType]
 
     def test_list_of_tuples_width(self, xp: ModuleType):
diff --git a/tests/test_testing.py b/tests/test_testing.py
index 28b37d03..2dbc913a 100644
--- a/tests/test_testing.py
+++ b/tests/test_testing.py
@@ -1,10 +1,9 @@
 import numpy as np
 import pytest
 
+from array_api_extra._lib import Backend
 from array_api_extra._lib._testing import xp_assert_close, xp_assert_equal
 
-from .conftest import Library
-
 # mypy: disable-error-code=no-any-decorated
 # pyright: reportUnknownParameterType=false,reportMissingParameterType=false
 
@@ -15,7 +14,7 @@
         xp_assert_equal,
         pytest.param(
             xp_assert_close,
-            marks=pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype"),
+            marks=pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype"),
         ),
     ],
 )
@@ -36,15 +35,15 @@ def test_assert_close_equal_basic(xp, func):
         func(xp.asarray([1, 2]), xp.asarray([1, 3]), err_msg="hello")
 
 
-@pytest.mark.skip_xp_backend(Library.NUMPY)
-@pytest.mark.skip_xp_backend(Library.NUMPY_READONLY)
+@pytest.mark.skip_xp_backend(Backend.NUMPY)
+@pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY)
 @pytest.mark.parametrize(
     "func",
     [
         xp_assert_equal,
         pytest.param(
             xp_assert_close,
-            marks=pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype"),
+            marks=pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype"),
         ),
     ],
 )
@@ -57,7 +56,7 @@ def test_assert_close_equal_namespace(xp, func):
         func(xp.asarray([0]), [0])
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype")
 def test_assert_close_tolerance(xp):
     xp_assert_close(xp.asarray([100.0]), xp.asarray([102.0]), rtol=0.03)
     with pytest.raises(AssertionError):
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 8cf49c2a..1960b3eb 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -1,19 +1,20 @@
+from types import ModuleType
+
 import numpy as np
 import pytest
 
-from array_api_extra._lib._compat import device as get_device
+from array_api_extra._lib import Backend
 from array_api_extra._lib._testing import xp_assert_equal
-from array_api_extra._lib._typing import Array, Device, ModuleType
-from array_api_extra._lib._utils import in1d
-
-from .conftest import Library
+from array_api_extra._lib._utils._compat import device as get_device
+from array_api_extra._lib._utils._helpers import in1d
+from array_api_extra._lib._utils._typing import Array, Device
 
 # mypy: disable-error-code=no-untyped-usage
 
 
 class TestIn1D:
-    @pytest.mark.skip_xp_backend(Library.DASK_ARRAY, reason="no argsort")
-    @pytest.mark.skip_xp_backend(Library.SPARSE, reason="no unique_inverse, no device")
+    @pytest.mark.skip_xp_backend(Backend.DASK_ARRAY, reason="no argsort")
+    @pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no unique_inverse, no device")
     # cover both code paths
     @pytest.mark.parametrize("x2", [np.arange(9), np.arange(15)])
     def test_no_invert_assume_unique(self, xp: ModuleType, x2: Array):
@@ -23,13 +24,13 @@ def test_no_invert_assume_unique(self, xp: ModuleType, x2: Array):
         actual = in1d(x1, x2)
         xp_assert_equal(actual, expected)
 
-    @pytest.mark.skip_xp_backend(Library.SPARSE, reason="no device")
+    @pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no device")
     def test_device(self, xp: ModuleType, device: Device):
         x1 = xp.asarray([3, 8, 20], device=device)
         x2 = xp.asarray([2, 3, 4], device=device)
         assert get_device(in1d(x1, x2)) == device
 
-    @pytest.mark.skip_xp_backend(Library.SPARSE, reason="no arange, no device")
+    @pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no arange, no device")
     def test_xp(self, xp: ModuleType):
         x1 = xp.asarray([1, 6])
         x2 = xp.arange(5)
diff --git a/vendor_tests/test_vendor.py b/vendor_tests/test_vendor.py
index e3202803..d94b73f8 100644
--- a/vendor_tests/test_vendor.py
+++ b/vendor_tests/test_vendor.py
@@ -37,6 +37,6 @@ def test_vendor_extra():
 
 def test_vendor_extra_uses_vendor_compat():
     from ._array_api_compat_vendor import array_namespace as n1
-    from .array_api_extra._lib._compat import array_namespace as n2
+    from .array_api_extra._lib._utils._compat import array_namespace as n2
 
     assert n1 is n2

From 7f1f4d5ec67469b45a8ede44505fef0a5e4eda6d Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Wed, 15 Jan 2025 13:55:05 +0000
Subject: [PATCH 11/14] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 3dc28bd3..3165e70d 100644
--- a/README.md
+++ b/README.md
@@ -34,7 +34,7 @@ Used by:
 
 - [SciPy](https://github.com/scipy/scipy) - Fundamental algorithms for
   scientific computing.
-- ...
+- _your library? Let us know!_
 
 ## Contributors
 

From 5f4fa99d9f3e774b11027c6bd34690ba0faf6308 Mon Sep 17 00:00:00 2001
From: Guido Imperiale <crusaderky@gmail.com>
Date: Wed, 15 Jan 2025 14:12:24 +0000
Subject: [PATCH 12/14] TST: Run all tests on read-only numpy arrays (#92)

---
 src/array_api_extra/_lib/_backends.py | 28 +++++-------
 tests/conftest.py                     | 64 ++++++++++++++++++++++++++-
 tests/test_at.py                      | 16 ++-----
 tests/test_funcs.py                   |  2 +
 tests/test_utils.py                   | 10 ++---
 5 files changed, 83 insertions(+), 37 deletions(-)

diff --git a/src/array_api_extra/_lib/_backends.py b/src/array_api_extra/_lib/_backends.py
index 93c43272..ee2e051e 100644
--- a/src/array_api_extra/_lib/_backends.py
+++ b/src/array_api_extra/_lib/_backends.py
@@ -17,29 +17,23 @@ class Backend(Enum):  # numpydoc ignore=PR01,PR02  # type: ignore[no-subclass-an
     Parameters
     ----------
     value : str
-        String describing the backend.
+        Name of the backend's module.
     is_namespace : Callable[[ModuleType], bool]
         Function to check whether an input module is the array namespace
         corresponding to the backend.
-    module_name : str
-        Name of the backend's module.
     """
 
-    ARRAY_API_STRICT = (
-        "array_api_strict",
-        _compat.is_array_api_strict_namespace,
-        "array_api_strict",
-    )
-    NUMPY = "numpy", _compat.is_numpy_namespace, "numpy"
-    NUMPY_READONLY = "numpy_readonly", _compat.is_numpy_namespace, "numpy"
-    CUPY = "cupy", _compat.is_cupy_namespace, "cupy"
-    TORCH = "torch", _compat.is_torch_namespace, "torch"
-    DASK_ARRAY = "dask.array", _compat.is_dask_namespace, "dask.array"
-    SPARSE = "sparse", _compat.is_pydata_sparse_namespace, "sparse"
-    JAX_NUMPY = "jax.numpy", _compat.is_jax_namespace, "jax.numpy"
+    ARRAY_API_STRICT = "array_api_strict", _compat.is_array_api_strict_namespace
+    NUMPY = "numpy", _compat.is_numpy_namespace
+    NUMPY_READONLY = "numpy_readonly", _compat.is_numpy_namespace
+    CUPY = "cupy", _compat.is_cupy_namespace
+    TORCH = "torch", _compat.is_torch_namespace
+    DASK_ARRAY = "dask.array", _compat.is_dask_namespace
+    SPARSE = "sparse", _compat.is_pydata_sparse_namespace
+    JAX_NUMPY = "jax.numpy", _compat.is_jax_namespace
 
     def __new__(
-        cls, value: str, _is_namespace: Callable[[ModuleType], bool], _module_name: str
+        cls, value: str, _is_namespace: Callable[[ModuleType], bool]
     ):  # numpydoc ignore=GL08
         obj = object.__new__(cls)
         obj._value_ = value
@@ -49,10 +43,8 @@ def __init__(
         self,
         value: str,  # noqa: ARG002  # pylint: disable=unused-argument
         is_namespace: Callable[[ModuleType], bool],
-        module_name: str,
     ):  # numpydoc ignore=GL08
         self.is_namespace = is_namespace
-        self.module_name = module_name
 
     def __str__(self) -> str:  # type: ignore[explicit-override]  # pyright: ignore[reportImplicitOverride]  # numpydoc ignore=RT01
         """Pretty-print parameterized test names."""
diff --git a/tests/conftest.py b/tests/conftest.py
index 4b07c205..c588d802 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,8 +1,11 @@
 """Pytest fixtures."""
 
+from collections.abc import Callable
+from functools import wraps
 from types import ModuleType
-from typing import cast
+from typing import ParamSpec, TypeVar, cast
 
+import numpy as np
 import pytest
 
 from array_api_extra._lib import Backend
@@ -10,6 +13,11 @@
 from array_api_extra._lib._utils._compat import device as get_device
 from array_api_extra._lib._utils._typing import Device
 
+T = TypeVar("T")
+P = ParamSpec("P")
+
+np_compat = array_namespace(np.empty(0))
+
 
 @pytest.fixture(params=tuple(Backend))
 def library(request: pytest.FixtureRequest) -> Backend:  # numpydoc ignore=PR01,RT03
@@ -34,6 +42,56 @@ def library(request: pytest.FixtureRequest) -> Backend:  # numpydoc ignore=PR01,
     return elem
 
 
+class NumPyReadOnly:
+    """
+    Variant of array_api_compat.numpy producing read-only arrays.
+
+    Read-only numpy arrays fail on `__iadd__` etc., whereas read-only libraries such as
+    JAX and Sparse simply don't define those methods, which makes calls to `+=` fall
+    back to `__add__`.
+
+    Note that this is not a full read-only Array API library. Notably,
+    `array_namespace(x)` returns array_api_compat.numpy. This is actually the desired
+    behaviour, so that when a tested function internally calls `xp =
+    array_namespace(*args) or xp`, it will internally create writeable arrays.
+    For this reason, tests that explicitly pass xp=xp to the tested functions may
+    misbehave and should be skipped for NUMPY_READONLY.
+    """
+
+    def __getattr__(self, name: str) -> object:  # numpydoc ignore=PR01,RT01
+        """Wrap all functions that return arrays to make their output read-only."""
+        func = getattr(np_compat, name)
+        if not callable(func) or isinstance(func, type):
+            return func
+        return self._wrap(func)
+
+    @staticmethod
+    def _wrap(func: Callable[P, T]) -> Callable[P, T]:  # numpydoc ignore=PR01,RT01
+        """Wrap func to make all np.ndarrays it returns read-only."""
+
+        def as_readonly(o: T) -> T:  # numpydoc ignore=PR01,RT01
+            """Unset the writeable flag in o."""
+            try:
+                # Don't use is_numpy_array(o), as it includes np.generic
+                if isinstance(o, np.ndarray):
+                    o.flags.writeable = False
+            except TypeError:
+                # Cannot interpret as a data type
+                return o
+
+            # This works with namedtuples too
+            if isinstance(o, tuple | list):
+                return type(o)(*(as_readonly(i) for i in o))  # type: ignore[arg-type,return-value] # pyright: ignore[reportArgumentType,reportUnknownArgumentType]
+
+            return o
+
+        @wraps(func)
+        def wrapper(*args: P.args, **kwargs: P.kwargs) -> T:  # numpydoc ignore=GL08
+            return as_readonly(func(*args, **kwargs))
+
+        return wrapper
+
+
 @pytest.fixture
 def xp(library: Backend) -> ModuleType:  # numpydoc ignore=PR01,RT03
     """
@@ -43,7 +101,9 @@ def xp(library: Backend) -> ModuleType:  # numpydoc ignore=PR01,RT03
     -------
     The current array namespace.
     """
-    xp = pytest.importorskip(library.module_name)
+    if library == Backend.NUMPY_READONLY:
+        return NumPyReadOnly()  # type: ignore[return-value]  # pyright: ignore[reportReturnType]
+    xp = pytest.importorskip(library.value)
     if library == Backend.JAX_NUMPY:
         import jax  # type: ignore[import-not-found]  # pyright: ignore[reportMissingImports]
 
diff --git a/tests/test_at.py b/tests/test_at.py
index e9159712..749c1b55 100644
--- a/tests/test_at.py
+++ b/tests/test_at.py
@@ -7,7 +7,6 @@
 import pytest
 from array_api_compat import (  # type: ignore[import-untyped]  # pyright: ignore[reportMissingTypeStubs]
     array_namespace,
-    is_pydata_sparse_array,
     is_writeable_array,
 )
 
@@ -18,14 +17,6 @@
 from array_api_extra._lib._utils._typing import Array
 
 
-@pytest.fixture
-def array(library: Backend, xp: ModuleType) -> Array:
-    x = xp.asarray([10.0, 20.0, 30.0])
-    if library == Backend.NUMPY_READONLY:
-        x.flags.writeable = False
-    return x
-
-
 @contextmanager
 def assert_copy(array: Array, copy: bool | None) -> Generator[None, None, None]:
     if copy is False and not is_writeable_array(array):
@@ -42,6 +33,9 @@ def assert_copy(array: Array, copy: bool | None) -> Generator[None, None, None]:
     xp_assert_equal(xp.all(array == array_orig), xp.asarray(copy))
 
 
+@pytest.mark.skip_xp_backend(
+    Backend.SPARSE, reason="read-only backend without .at support"
+)
 @pytest.mark.parametrize(
     ("kwargs", "expect_copy"),
     [
@@ -66,15 +60,13 @@ def assert_copy(array: Array, copy: bool | None) -> Generator[None, None, None]:
 )
 def test_update_ops(
     xp: ModuleType,
-    array: Array,
     kwargs: dict[str, bool | None],
     expect_copy: bool | None,
     op: _AtOp,
     arg: float,
     expect: list[float],
 ):
-    if is_pydata_sparse_array(array):
-        pytest.skip("at() does not support updates on sparse arrays")
+    array = xp.asarray([10.0, 20.0, 30.0])
 
     with assert_copy(array, expect_copy):
         func = cast(Callable[..., Array], getattr(at(array)[1:], op.value))  # type: ignore[no-any-explicit]
diff --git a/tests/test_funcs.py b/tests/test_funcs.py
index 5be4a9ad..897b7811 100644
--- a/tests/test_funcs.py
+++ b/tests/test_funcs.py
@@ -136,6 +136,7 @@ def test_device(self, xp: ModuleType, device: Device):
         x = xp.asarray([1, 2, 3], device=device)
         assert get_device(cov(x)) == device
 
+    @pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY)
     def test_xp(self, xp: ModuleType):
         xp_assert_close(
             cov(xp.asarray([[0.0, 2.0], [1.0, 1.0], [2.0, 0.0]]).T, xp=xp),
@@ -366,6 +367,7 @@ def test_device(self, xp: ModuleType, device: Device):
         x2 = xp.asarray([2, 3, 4], device=device)
         assert get_device(setdiff1d(x1, x2)) == device
 
+    @pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY)
     def test_xp(self, xp: ModuleType):
         x1 = xp.asarray([3, 8, 20])
         x2 = xp.asarray([2, 3, 4])
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 1960b3eb..981d5c03 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -1,13 +1,12 @@
 from types import ModuleType
 
-import numpy as np
 import pytest
 
 from array_api_extra._lib import Backend
 from array_api_extra._lib._testing import xp_assert_equal
 from array_api_extra._lib._utils._compat import device as get_device
 from array_api_extra._lib._utils._helpers import in1d
-from array_api_extra._lib._utils._typing import Array, Device
+from array_api_extra._lib._utils._typing import Device
 
 # mypy: disable-error-code=no-untyped-usage
 
@@ -16,10 +15,10 @@ class TestIn1D:
     @pytest.mark.skip_xp_backend(Backend.DASK_ARRAY, reason="no argsort")
     @pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no unique_inverse, no device")
     # cover both code paths
-    @pytest.mark.parametrize("x2", [np.arange(9), np.arange(15)])
-    def test_no_invert_assume_unique(self, xp: ModuleType, x2: Array):
+    @pytest.mark.parametrize("n", [9, 15])
+    def test_no_invert_assume_unique(self, xp: ModuleType, n: int):
         x1 = xp.asarray([3, 8, 20])
-        x2 = xp.asarray(x2)
+        x2 = xp.arange(n)
         expected = xp.asarray([True, True, False])
         actual = in1d(x1, x2)
         xp_assert_equal(actual, expected)
@@ -30,6 +29,7 @@ def test_device(self, xp: ModuleType, device: Device):
         x2 = xp.asarray([2, 3, 4], device=device)
         assert get_device(in1d(x1, x2)) == device
 
+    @pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY)
     @pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no arange, no device")
     def test_xp(self, xp: ModuleType):
         x1 = xp.asarray([1, 6])

From ec915ffe0ef8bb2e5ee48fa9088f4798a3f9370f Mon Sep 17 00:00:00 2001
From: Guido Imperiale <crusaderky@gmail.com>
Date: Wed, 15 Jan 2025 14:22:11 +0000
Subject: [PATCH 13/14] TST: test coverage for vendored functions (#93)

---
 src/array_api_extra/_lib/_utils/_compat.pyi | 2 +-
 vendor_tests/test_vendor.py                 | 6 ++++--
 2 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/src/array_api_extra/_lib/_utils/_compat.pyi b/src/array_api_extra/_lib/_utils/_compat.pyi
index 6086dcfe..1e81c984 100644
--- a/src/array_api_extra/_lib/_utils/_compat.pyi
+++ b/src/array_api_extra/_lib/_utils/_compat.pyi
@@ -23,8 +23,8 @@ def is_cupy_namespace(xp: ModuleType, /) -> bool: ...
 def is_dask_namespace(xp: ModuleType, /) -> bool: ...
 def is_jax_namespace(xp: ModuleType, /) -> bool: ...
 def is_numpy_namespace(xp: ModuleType, /) -> bool: ...
+def is_pydata_sparse_namespace(xp: ModuleType, /) -> bool: ...
 def is_torch_namespace(xp: ModuleType, /) -> bool: ...
 def is_jax_array(x: object, /) -> bool: ...
-def is_pydata_sparse_namespace(xp: ModuleType, /) -> bool: ...
 def is_writeable_array(x: object, /) -> bool: ...
 def size(x: Array, /) -> int | None: ...
diff --git a/vendor_tests/test_vendor.py b/vendor_tests/test_vendor.py
index d94b73f8..38249378 100644
--- a/vendor_tests/test_vendor.py
+++ b/vendor_tests/test_vendor.py
@@ -7,6 +7,7 @@ def test_vendor_compat():
         array_namespace,
         device,
         is_cupy_namespace,
+        is_dask_namespace,
         is_jax_array,
         is_jax_namespace,
         is_pydata_sparse_namespace,
@@ -18,12 +19,13 @@ def test_vendor_compat():
     x = xp.asarray([1, 2, 3])
     assert array_namespace(x) is xp
     device(x)
-    assert not is_jax_array(x)
-    assert is_writeable_array(x)
     assert not is_cupy_namespace(xp)
+    assert not is_dask_namespace(xp)
+    assert not is_jax_array(x)
     assert not is_jax_namespace(xp)
     assert not is_pydata_sparse_namespace(xp)
     assert not is_torch_namespace(xp)
+    assert is_writeable_array(x)
     assert size(x) == 3
 
 

From b463cc8e61ae3b9d51b83cbac56aa8474867506f Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Wed, 15 Jan 2025 14:31:12 +0000
Subject: [PATCH 14/14] REL: set version to 0.6.0

---
 pixi.lock                       | 2 +-
 src/array_api_extra/__init__.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index 153a692b..438cf49e 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -2466,7 +2466,7 @@ packages:
   timestamp: 1735201429468
 - pypi: .
   name: array-api-extra
-  version: 0.5.1.dev0
+  version: 0.6.0
   sha256: 4ec1183114a670b9c9b9b351826c962ad92ab470b1914a163e4a5ed02d0e04a0
   requires_dist:
   - array-api-compat>=1.10.0,<2
diff --git a/src/array_api_extra/__init__.py b/src/array_api_extra/__init__.py
index 57d728ef..ea660f1e 100644
--- a/src/array_api_extra/__init__.py
+++ b/src/array_api_extra/__init__.py
@@ -13,7 +13,7 @@
     sinc,
 )
 
-__version__ = "0.5.1.dev0"
+__version__ = "0.6.0"
 
 # pylint: disable=duplicate-code
 __all__ = [