Make spec tests pass

Signed-off-by: Vasily Litvinov <[email protected]>

Author: vnlitvinov

pandas/core/exchange/buffer.py

@@ -1,4 +1,4 @@
-from pandas.core.exchange.dataframe_protocol import Buffer, DlpackDeviceType, DtypeKind
+from pandas.core.exchange.dataframe_protocol import Buffer, DlpackDeviceType
 import numpy as np
 from typing import Tuple
 

pandas/core/exchange/column.py

@@ -4,7 +4,7 @@
     Buffer,
     ColumnNullType,
 )
-from pandas.core.exchange.buffer import PandasBuffer, buffer_to_ndarray
+from pandas.core.exchange.buffer import PandasBuffer
 from pandas.core.exchange.utils import ArrowCTypes, Endianness, dtype_to_arrow_c_fmt
 from pandas.api.types import is_categorical_dtype, is_string_dtype
 import pandas as pd

pandas/tests/exchange/test_protocol.py renamed to pandas/tests/exchange/test_spec_conformance.py

@@ -74,9 +74,9 @@ def test_categorical(df_from_dict):
     )
 
     colX = df.__dataframe__().get_column_by_name("weekday")
-    is_ordered, is_dictionary, _ = colX.describe_categorical
-    assert isinstance(is_ordered, bool)
-    assert isinstance(is_dictionary, bool)
+    categorical = colX.describe_categorical
+    assert isinstance(categorical["is_ordered"], bool)
+    assert isinstance(categorical["is_dictionary"], bool)
 
 
 def test_dataframe(df_from_dict):
@@ -134,7 +134,7 @@ def test_buffer(df_from_dict):
 
     assert dataBuf.bufsize > 0
     assert dataBuf.ptr != 0
-    device, _ = dataBuf.__dlpack_device__
+    device, _ = dataBuf.__dlpack_device__()
 
     assert dataDtype[0] == 0