fix an error for moveaxis

Author: vtavana

dpctl/tensor/_manipulation_functions.py

@@ -785,21 +785,21 @@ def unstack(X, axis=0):
     return tuple(Y[i] for i in range(Y.shape[0]))
 
 
-def moveaxis(X, src, dst):
-    """moveaxis(x, src, dst)
+def moveaxis(X, source, destination):
+    """moveaxis(x, source, destination)
 
     Moves axes of an array to new positions.
 
     Args:
         x (usm_ndarray): input array
 
-        src (int or a sequence of int):
+        source (int or a sequence of int):
             Original positions of the axes to move.
             These must be unique. If `x` has rank (i.e., number of
             dimensions) `N`, a valid `axis` must be in the
             half-open interval `[-N, N)`.
 
-        dst (int or a sequence of int):
+        destination (int or a sequence of int):
             Destination positions for each of the original axes.
             These must also be unique. If `x` has rank
             (i.e., number of dimensions) `N`, a valid `axis` must be
@@ -818,18 +818,25 @@ def moveaxis(X, src, dst):
     if not isinstance(X, dpt.usm_ndarray):
         raise TypeError(f"Expected usm_ndarray type, got {type(X)}.")
 
-    if not isinstance(src, (tuple, list)):
-        src = (src,)
+    if not isinstance(source, (tuple, list)):
+        source = (source,)
 
-    if not isinstance(dst, (tuple, list)):
-        dst = (dst,)
+    if not isinstance(destination, (tuple, list)):
+        destination = (destination,)
 
-    src = normalize_axis_tuple(src, X.ndim, "src")
-    dst = normalize_axis_tuple(dst, X.ndim, "dst")
-    ind = list(range(0, X.ndim))
-    for i in range(len(src)):
-        ind.remove(src[i])  # using the value here which is the same as index
-        ind.insert(dst[i], src[i])
+    source = normalize_axis_tuple(source, X.ndim, "source")
+    destination = normalize_axis_tuple(destination, X.ndim, "destination")
+
+    if len(source) != len(destination):
+        raise ValueError(
+            "`source` and `destination` arguments must have "
+            "the same number of elements"
+        )
+
+    ind = [n for n in range(X.ndim) if n not in source]
+
+    for src, dst in sorted(zip(destination, source)):
+        ind.insert(src, dst)
 
     return dpt.permute_dims(X, tuple(ind))
 

dpctl/tests/test_usm_ndarray_manipulation.py

@@ -17,7 +17,7 @@
 
 import numpy as np
 import pytest
-from numpy.testing import assert_array_equal
+from numpy.testing import assert_, assert_array_equal, assert_raises_regex
 
 import dpctl
 import dpctl.tensor as dpt
@@ -1068,34 +1068,83 @@ def test_swapaxes_2d():
     assert_array_equal(exp, dpt.asnumpy(res))
 
 
-def test_moveaxis_1axis():
-    x = np.arange(60).reshape((3, 4, 5))
-    exp = np.moveaxis(x, 0, -1)
-
-    y = dpt.reshape(dpt.arange(60), (3, 4, 5))
-    res = dpt.moveaxis(y, 0, -1)
-
-    assert_array_equal(exp, dpt.asnumpy(res))
-
-
-def test_moveaxis_2axes():
-    x = np.arange(60).reshape((3, 4, 5))
-    exp = np.moveaxis(x, [0, 1], [-1, -2])
-
-    y = dpt.reshape(dpt.arange(60), (3, 4, 5))
-    res = dpt.moveaxis(y, [0, 1], [-1, -2])
-
-    assert_array_equal(exp, dpt.asnumpy(res))
-
-
-def test_moveaxis_3axes():
-    x = np.arange(60).reshape((3, 4, 5))
-    exp = np.moveaxis(x, [0, 1, 2], [-1, -2, -3])
-
-    y = dpt.reshape(dpt.arange(60), (3, 4, 5))
-    res = dpt.moveaxis(y, [0, 1, 2], [-1, -2, -3])
-
-    assert_array_equal(exp, dpt.asnumpy(res))
+def test_moveaxis_move_to_end():
+    x = dpt.reshape(dpt.arange(5 * 6 * 7), (5, 6, 7))
+    for source, expected in [
+        (0, (6, 7, 5)),
+        (1, (5, 7, 6)),
+        (2, (5, 6, 7)),
+        (-1, (5, 6, 7)),
+    ]:
+        actual = dpt.moveaxis(x, source, -1).shape
+        assert_(actual, expected)
+
+
+def test_moveaxis_new_position():
+    x = dpt.reshape(dpt.arange(24), (1, 2, 3, 4))
+    for source, destination, expected in [
+        (0, 1, (2, 1, 3, 4)),
+        (1, 2, (1, 3, 2, 4)),
+        (1, -1, (1, 3, 4, 2)),
+    ]:
+        actual = dpt.moveaxis(x, source, destination).shape
+        assert_(actual, expected)
+
+
+def test_moveaxis_preserve_order():
+    x = dpt.zeros((1, 2, 3, 4))
+    for source, destination in [
+        (0, 0),
+        (3, -1),
+        (-1, 3),
+        ([0, -1], [0, -1]),
+        ([2, 0], [2, 0]),
+    ]:
+        actual = dpt.moveaxis(x, source, destination).shape
+        assert_(actual, (1, 2, 3, 4))
+
+
+def test_moveaxis_move_multiples():
+    x = dpt.zeros((0, 1, 2, 3))
+    for source, destination, expected in [
+        ([0, 1], [2, 3], (2, 3, 0, 1)),
+        ([2, 3], [0, 1], (2, 3, 0, 1)),
+        ([0, 1, 2], [2, 3, 0], (2, 3, 0, 1)),
+        ([3, 0], [1, 0], (0, 3, 1, 2)),
+        ([0, 3], [0, 1], (0, 3, 1, 2)),
+    ]:
+        actual = dpt.moveaxis(x, source, destination).shape
+        assert_(actual, expected)
+
+
+def test_moveaxis_errors():
+    x = dpt.reshape(dpt.arange(6), (1, 2, 3))
+    assert_raises_regex(
+        np.AxisError, "source.*out of bounds", dpt.moveaxis, x, 3, 0
+    )
+    assert_raises_regex(
+        np.AxisError, "source.*out of bounds", dpt.moveaxis, x, -4, 0
+    )
+    assert_raises_regex(
+        np.AxisError, "destination.*out of bounds", dpt.moveaxis, x, 0, 5
+    )
+    assert_raises_regex(
+        ValueError, "repeated axis in `source`", dpt.moveaxis, x, [0, 0], [0, 1]
+    )
+    assert_raises_regex(
+        ValueError,
+        "repeated axis in `destination`",
+        dpt.moveaxis,
+        x,
+        [0, 1],
+        [1, 1],
+    )
+    assert_raises_regex(
+        ValueError, "must have the same number", dpt.moveaxis, x, 0, [0, 1]
+    )
+    assert_raises_regex(
+        ValueError, "must have the same number", dpt.moveaxis, x, [0, 1], [0]
+    )
 
 
 def test_unstack_axis0():