Update array_api namespace with latest changes from the spec

1 files changed, 17 insertions, 1 deletions

diff --git a/numpy/_array_api/_creation_functions.py b/numpy/_array_api/_creation_functions.py
index 68326f291..d015734ff 100644
--- a/numpy/_array_api/_creation_functions.py
+++ b/numpy/_array_api/_creation_functions.py
@@ -1,9 +1,21 @@
 from __future__ import annotations
 
-from ._types import Optional, Tuple, Union, array, device, dtype
+from ._types import (Optional, SupportsDLPack, SupportsBufferProtocol, Tuple,
+                     Union, array, device, dtype)
 
 import numpy as np
 
+def asarray(obj: Union[float, NestedSequence[bool|int|float], SupportsDLPack, SupportsBufferProtocol], /, *, dtype: Optional[dtype] = None, device: Optional[device] = None, copy: Optional[bool] = None) -> array:
+    """
+    Array API compatible wrapper for :py:func:`np.asarray <numpy.asarray>`.
+
+    See its docstring for more information.
+    """
+    if device is not None:
+        # Note: Device support is not yet implemented on ndarray
+        raise NotImplementedError("Device support is not yet implemented")
+    return np.asarray(obj, dtype=dtype, copy=copy)
+
 def arange(start: Union[int, float], /, *, stop: Optional[Union[int, float]] = None, step: Union[int, float] = 1, dtype: Optional[dtype] = None, device: Optional[device] = None) -> array:
     """
     Array API compatible wrapper for :py:func:`np.arange <numpy.arange>`.
@@ -48,6 +60,10 @@ def eye(N: int, /, *, M: Optional[int] = None, k: Optional[int] = 0, dtype: Opti
         raise NotImplementedError("Device support is not yet implemented")
     return np.eye(N, M=M, k=k, dtype=dtype)
 
+def from_dlpack(x: object, /) -> array:
+    # Note: dlpack support is not yet implemented on ndarray
+    raise NotImplementedError("DLPack support is not yet implemented")
+
 def full(shape: Union[int, Tuple[int, ...]], fill_value: Union[int, float], /, *, dtype: Optional[dtype] = None, device: Optional[device] = None) -> array:
     """
     Array API compatible wrapper for :py:func:`np.full <numpy.full>`.