Partially addresses issue Bears-R-Us#3050, updating PROTO tests.

PROTO_tests/tests/message_test.py

@@ -90,7 +90,9 @@ def test_reply_msg(self):
 class TestJSONArgs:
     # TODO numpy dtypes are not supported by json, we probably want to add an issue to handle this
     SCALAR_TYPES = [int, float, bool, str]
-    PDA_TYPES = [ak.dtype(t) for t in ak.DTypes if t != "str"]
+#   The types below are support in arkouda, as noted in serverConfig.json.  This may be
+#   the same issue noted in the above comment.
+    SUPPORTED_TYPES = [ak.bool, ak.uint64, ak.int64, ak.bigint, ak.uint8, ak.float64]
 
     @pytest.mark.parametrize("dtype", SCALAR_TYPES)
     def test_scalar_args(self, dtype):
@@ -204,7 +206,7 @@ def test_fields_arg(self):
         )
         assert args == expected
 
-    @pytest.mark.parametrize("dtype", PDA_TYPES)
+    @pytest.mark.parametrize("dtype", SUPPORTED_TYPES)
     def test_pda_arg(self, dtype):
         pda1 = ak.arange(3, dtype=dtype)
         pda2 = ak.arange(4, dtype=dtype)

PROTO_tests/tests/series_test.py

@@ -148,8 +148,10 @@ def test_value_counts(self):
 
     def test_concat(self):
         s = ak.Series(ak.arange(5))
-        s2 = ak.Series(ak.arange(5, 11), ak.arange(5, 11))
-        s3 = ak.Series(ak.arange(5, 10), ak.arange(5, 10))
+        # added data= and index= clarifiers to the next two lines.
+        # without them, the index was interpreted as the name.
+        s2 = ak.Series(data=ak.arange(5, 11), index=ak.arange(5, 11))
+        s3 = ak.Series(data=ak.arange(5, 10), index=ak.arange(5, 10))
 
         df = ak.Series.concat([s, s2], axis=1)
         assert isinstance(df, ak.DataFrame)