✨ HasTranspose

Signed-off-by: nstarman <[email protected]>

Author: nstarman

src/array_api_typing/__init__.py

@@ -9,6 +9,7 @@
     "HasNDim",
     "HasShape",
     "HasSize",
+    "HasTranspose",
     "__version__",
     "__version_tuple__",
 )
@@ -22,5 +23,6 @@
     HasNDim,
     HasShape,
     HasSize,
+    HasTranspose,
 )
 from ._version import version as __version__, version_tuple as __version_tuple__

src/array_api_typing/_array.py

@@ -7,6 +7,7 @@
     "HasNDim",
     "HasShape",
     "HasSize",
+    "HasTranspose",
 )
 
 from types import ModuleType
@@ -158,6 +159,36 @@ def size(self) -> int | None:
         ...
 
 
+class HasTranspose(Protocol):
+    """Protocol for array classes that support the transpose operation."""
+
+    @property
+    def T(self) -> Self:  # noqa: N802
+        """Transpose of the array.
+
+        The array instance must be two-dimensional. If the array instance is not
+        two-dimensional, an error should be raised.
+
+        Returns:
+            Self: two-dimensional array whose first and last dimensions (axes)
+                are permuted in reverse order relative to original array. The
+                returned array must have the same data type as the original
+                array.
+
+        Notes:
+            Limiting the transpose to two-dimensional arrays (matrices) deviates
+            from the NumPy et al practice of reversing all axes for arrays
+            having more than two-dimensions. This is intentional, as reversing
+            all axes was found to be problematic (e.g., conflicting with the
+            mathematical definition of a transpose which is limited to matrices;
+            not operating on batches of matrices; et cetera). In order to
+            reverse all axes, one is recommended to use the functional
+            `PermuteDims` interface found in this specification.
+
+        """
+        ...
+
+
 class Array(
     # ------ Attributes -------
     HasDType[DTypeT_co],

tests/integration/test_numpy1p0.pyi

@@ -74,6 +74,13 @@ _: xpt.HasShape = nparr
 _: xpt.HasShape = nparr_i32
 _: xpt.HasShape = nparr_f32
 
+# =========================================================
+# `xpt.HasTranspose`
+
+_: xpt.HasTranspose = nparr
+_: xpt.HasTranspose = nparr_i32
+_: xpt.HasTranspose = nparr_f32
+
 # =========================================================
 # `xpt.Array`
 

tests/integration/test_numpy2p0.pyi

@@ -85,6 +85,14 @@ _: xpt.HasSize = nparr_i32
 _: xpt.HasSize = nparr_f32
 _: xpt.HasSize = nparr_b
 
+# =========================================================
+# `xpt.HasTranspose`
+
+_: xpt.HasTranspose = nparr
+_: xpt.HasTranspose = nparr_i32
+_: xpt.HasTranspose = nparr_f32
+_: xpt.HasTranspose = nparr_b
+
 # =========================================================
 # `xpt.Array`