fixed dios warnings

dios/dios/base.py

@@ -128,7 +128,8 @@ class _DiosBase:
             raise TypeError("data type not understood")
 
         for k in data:
-            self._insert(k, pd.Series(data[k], index=index))
+            s = pd.Series(data[k], index=index, dtype=object).infer_objects()
+            self._insert(k, s)
 
     # ----------------------------------------------------------------------
     # checks

dios/test/test__ops__.py

 #!/usr/bin/env python
+import pytest
+
 from .test_setup import *
 
 
@@ -21,6 +23,8 @@ def test__eq__(left, right):
             assert res == exp
 
 
+@pytest.mark.filterwarnings("ignore: invalid value encountered in long_scalars")
+@pytest.mark.filterwarnings("ignore: divide by zero encountered in long_scalars")
 @pytest.mark.parametrize("left", diosFromMatr(DATA_ALIGNED))
 @pytest.mark.parametrize("right", diosFromMatr(DATA_ALIGNED))
 @pytest.mark.parametrize("op", OP2)
@@ -39,6 +43,8 @@ def test__op2__aligningops(left, right, op):
             assert res == exp
 
 
+@pytest.mark.filterwarnings("ignore: invalid value encountered in long_scalars")
+@pytest.mark.filterwarnings("ignore: divide by zero encountered in long_scalars")
 @pytest.mark.parametrize("left", diosFromMatr(DATA_UNALIGNED))
 @pytest.mark.parametrize("right", diosFromMatr(DATA_UNALIGNED))
 @pytest.mark.parametrize("op", OPNOCOMP)

dios/test/test__setget__aloc.py

@@ -4,7 +4,9 @@ from pandas.core.dtypes.common import is_scalar
 pytestmark = pytest.mark.skip
 
 
-@pytest.mark.parametrize(("idxer", "exp"), [("a", s1), ("c", s3), ("x", pd.Series())])
+@pytest.mark.parametrize(
+    ("idxer", "exp"), [("a", s1), ("c", s3), ("x", pd.Series(dtype=float))]
+)
 def test__getitem_aloc_singleCol(dios_aligned, idxer, exp):
     di = dios_aligned.aloc[:, idxer]
     assert isinstance(di, pd.Series)

dios/test/test_setup.py

@@ -24,10 +24,10 @@ except ModuleNotFoundError:
 import pandas as pd
 import numpy as np
 
-a = pd.Series(range(0, 70, 7))
-b = pd.Series(range(5, 15, 1))
-c = pd.Series(range(7, 107, 10))
-d = pd.Series(range(0, 10, 1))
+a = pd.Series(range(0, 70, 7), dtype=int)
+b = pd.Series(range(5, 15, 1), dtype=int)
+c = pd.Series(range(7, 107, 10), dtype=int)
+d = pd.Series(range(0, 10, 1), dtype=int)
 
 s1, s2, s3, s4 = a, b, c, d
 
@@ -330,8 +330,7 @@ OP1 = list(_OP1_MAP)
 def diosFromMatr(mlist):
     l = []
     for m in mlist:
-        m = np.array(m)
-        l.append(DictOfSeries(m.copy()))
+        l.append(DictOfSeries({i: li.copy() for i, li in enumerate(m)}))
     return tuple(l)