Update __array_api_version__ to 2023.12

Author: asmeurer

array_api_compat/common/_helpers.py

@@ -317,7 +317,7 @@ def is_torch_namespace(xp) -> bool:
  is_array_api_strict_namespace
  """
  return xp.__name__ in {'torch', _compat_module_name() + '.torch'}
- 
+
 
 def is_ndonnx_namespace(xp):
  """
@@ -415,10 +415,11 @@ def is_array_api_strict_namespace(xp):
  return xp.__name__ == 'array_api_strict'
 
 def _check_api_version(api_version):
- if api_version == '2021.12':
- warnings.warn("The 2021.12 version of the array API specification was requested but the returned namespace is actually version 2022.12")
- elif api_version is not None and api_version != '2022.12':
- raise ValueError("Only the 2022.12 version of the array API specification is currently supported")
+ if api_version in ['2021.12', '2022.12']:
+ warnings.warn(f"The {api_version} version of the array API specification was requested but the returned namespace is actually version 2023.12")
+ elif api_version is not None and api_version not in ['2021.12', '2022.12',
+ '2023.12']:
+ raise ValueError("Only the 2023.12 version of the array API specification is currently supported")
 
 def array_namespace(*xs, api_version=None, use_compat=None):
  """
@@ -431,7 +432,7 @@ def array_namespace(*xs, api_version=None, use_compat=None):
 
  api_version: str
  The newest version of the spec that you need support for (currently
- the compat library wrapped APIs support v2022.12).
+ the compat library wrapped APIs support v2023.12).
 
  use_compat: bool or None
  If None (the default), the native namespace will be returned if it is

array_api_compat/cupy/__init__.py

@@ -13,4 +13,4 @@
 
 from ..common._helpers import * # noqa: F401,F403
 
-__array_api_version__ = '2022.12'
+__array_api_version__ = '2023.12'

array_api_compat/dask/array/__init__.py

@@ -3,7 +3,7 @@
 # These imports may overwrite names from the import * above.
 from ._aliases import * # noqa: F403
 
-__array_api_version__ = '2022.12'
+__array_api_version__ = '2023.12'
 
 __import__(__package__ + '.linalg')
 __import__(__package__ + '.fft')

array_api_compat/numpy/__init__.py

@@ -27,4 +27,4 @@
 except ImportError:
  pass
 
-__array_api_version__ = '2022.12'
+__array_api_version__ = '2023.12'

array_api_compat/torch/__init__.py

@@ -21,4 +21,4 @@
 
 from ..common._helpers import * # noqa: F403
 
-__array_api_version__ = '2022.12'
+__array_api_version__ = '2023.12'

docs/index.md

@@ -12,8 +12,8 @@ each array library itself fully compatible with the array API, but this
 requires making backwards incompatible changes in many cases, so this will
 take some time.
 
-Currently all libraries here are implemented against the [2022.12
-version](https://data-apis.org/array-api/2022.12/) of the standard.
+Currently all libraries here are implemented against the [2023.12
+version](https://data-apis.org/array-api/2023.12/) of the standard.
 
 ## Installation
 

tests/test_array_namespace.py

@@ -13,7 +13,7 @@
 from ._helpers import import_, all_libraries, wrapped_libraries
 
 @pytest.mark.parametrize("use_compat", [True, False, None])
-@pytest.mark.parametrize("api_version", [None, "2021.12", "2022.12"])
+@pytest.mark.parametrize("api_version", [None, "2021.12", "2022.12", "2023.12"])
 @pytest.mark.parametrize("library", all_libraries + ['array_api_strict'])
 def test_array_namespace(library, api_version, use_compat):
  xp = import_(library)
@@ -94,14 +94,20 @@ def test_array_namespace_errors_torch():
 def test_api_version():
  x = torch.asarray([1, 2])
  torch_ = import_("torch", wrapper=True)
- assert array_namespace(x, api_version="2022.12") == torch_
+ assert array_namespace(x, api_version="2023.12") == torch_
  assert array_namespace(x, api_version=None) == torch_
  assert array_namespace(x) == torch_
  # Should issue a warning
  with warnings.catch_warnings(record=True) as w:
  assert array_namespace(x, api_version="2021.12") == torch_
- assert len(w) == 1
- assert "2021.12" in str(w[0].message)
+ assert len(w) == 1
+ assert "2021.12" in str(w[0].message)
+
+ # Should issue a warning
+ with warnings.catch_warnings(record=True) as w:
+ assert array_namespace(x, api_version="2022.12") == torch_
+ assert len(w) == 1
+ assert "2022.12" in str(w[0].message)
 
  pytest.raises(ValueError, lambda: array_namespace(x, api_version="2020.12"))