Closes #3430: deprecate array_api/array_manipulation.py (#3629)

Co-authored-by: Amanda Potts <ajpotts@users.noreply.github.com>

ArrayAPIServerModules.cfg

@@ -5,7 +5,7 @@ ArgSortMsg
 CastMsg
 EfuncMsg
 IndexingMsg
-# LinalgMsg
+#LinalgMsg
 LogMsg
 ManipulationMsg
 OperatorMsg

PROTO_tests/tests/array_api/array_creation.py

@@ -0,0 +1,53 @@
+import json
+
+import numpy as np
+import pytest
+
+import arkouda as ak
+import arkouda.array_api as xp
+
+# requires the server to be built with 2D array support
+SHAPES = [(), (0,), (0, 0), (1,), (5,), (2, 2), (5, 10)]
+SIZES = [1, 0, 0, 1, 5, 4, 50]
+DIMS = [0, 1, 2, 1, 1, 2, 2]
+
+def get_server_max_array_dims():
+    try:
+        return json.load(open('serverConfig.json', 'r'))['max_array_dims']
+    except (ValueError, FileNotFoundError, TypeError, KeyError):
+        return 1
+
+class TestArrayCreation:
+    @pytest.mark.skipif(get_server_max_array_dims() < 2, reason="test_zeros requires server with 'max_array_dims' >= 2")
+    def test_zeros(self):
+        for shape, size, dim in zip(SHAPES, SIZES, DIMS):
+            for dtype in ak.ScalarDTypes:
+                a = xp.zeros(shape, dtype=dtype)
+                assert a.size == size
+                assert a.ndim == dim
+                assert a.shape == shape
+                assert a.dtype == dtype
+                assert a.tolist() == np.zeros(shape, dtype=dtype).tolist()
+
+    @pytest.mark.skipif(get_server_max_array_dims() < 2, reason="test_ones requires server with 'max_array_dims' >= 2")
+    def test_ones(self):
+        for shape, size, dim in zip(SHAPES, SIZES, DIMS):
+            for dtype in ak.ScalarDTypes:
+                a = xp.ones(shape, dtype=dtype)
+                assert a.size == size
+                assert a.ndim == dim
+                assert a.shape == shape
+                assert a.dtype == dtype
+                assert a.tolist() == np.ones(shape, dtype=dtype).tolist()
+
+    @pytest.mark.skipif(get_server_max_array_dims() < 2, reason="test_from_numpy requires server with 'max_array_dims' >= 2")
+    def test_from_numpy(self):
+        # TODO: support 0D (scalar) arrays
+        # (need changes to the create0D command from #2967)
+        for shape in SHAPES[1:]:
+            a = np.random.randint(0, 10, size=shape, dtype=np.int64)
+            b = xp.asarray(a)
+            assert b.size == a.size
+            assert b.ndim == a.ndim
+            assert b.shape == a.shape
+            assert b.tolist() == a.tolist()