Fix Ruff E721 failures

Author: ihnorton

tiledb/dataframe_.py

@@ -110,9 +110,7 @@ def from_values(cls, array_like, varlen_types=()):
     def from_dtype(cls, dtype, varlen_types=()):
         from pandas.api import types as pd_types
 
-        if (type(dtype) == str and dtype == "ascii") or (
-            type(dtype) == np.dtype and str(dtype) == "ascii"
-        ):
+        if isinstance(dtype, str) and dtype == "ascii":
             return cls("ascii", var=True)
 
         dtype = pd_types.pandas_dtype(dtype)

tiledb/highlevel.py

@@ -279,13 +279,13 @@ def _schema_like_numpy(
         # for object arrays, we use the dtype of the first element
         # consistency check should be done later, if needed
         el0 = array.flat[0]
-        if type(el0) is bytes:
+        if isinstance(el0, bytes):
             el_dtype = np.dtype("S")
             var = True
-        elif type(el0) is str:
+        elif isinstance(el0, str):
             el_dtype = np.dtype("U")
             var = True
-        elif type(el0) == np.ndarray:
+        elif isinstance(el0, np.ndarray):
             if len(el0.shape) != 1:
                 raise TypeError(
                     "Unsupported sub-array type for Attribute: {} "

tiledb/tests/test_pandas_dataframe.py

@@ -438,7 +438,7 @@ def test_dataframe_index_to_sparse_dims(self):
 
                 # also ensure that string columns are converted to bytes
                 # b/c only TILEDB_ASCII supported for string dimension
-                if type(df[col][0]) is str:
+                if isinstance(df[col][0], str):
                     df[col] = [x.encode("UTF-8") for x in df[col]]
 
             new_df = df.drop_duplicates(subset=col)