Merge pull request #17 from oracle/2.6.x

Release version 2.6.8

Author: mrDzurb

ads/ads_version.json

@@ -1,3 +1,3 @@
 {
-  "version": "2.6.7"
+  "version": "2.6.8"
 }

ads/dataset/helper.py

@@ -18,7 +18,7 @@
 from typing import List, Union
 import fsspec
 
-from pandas.io.common import _compression_to_extension
+# from pandas.io.common import _compression_to_extension
 
 from numbers import Number
 from urllib.parse import urlparse
@@ -280,8 +280,19 @@ def _determine_protocol_type(self):
 
     @staticmethod
     def _remove_compressions(filename: str):
-        for compression in _compression_to_extension.keys():
-            if filename.strip().endswith(_compression_to_extension[compression]):
+        _compression_to_extension = [
+            ".gz",
+            ".bz2",
+            ".zip",
+            ".xz",
+            ".zst",
+            ".tar",
+            ".tar.gz",
+            ".tar.xz",
+            ".tar.bz2",
+        ]
+        for compression in _compression_to_extension:
+            if filename.strip().endswith(compression):
                 return ElaboratedPath._remove_compressions(
                     os.path.splitext(filename.rstrip("/*"))[0]
                 )

ads/hpo/visualization/_parallel_coordinate.py

@@ -144,7 +144,8 @@ def _target(t: "optuna.trial.FrozenTrial") -> float:
     segments = [np.column_stack([x, y]) for x, y in zip(xs, dims_obj_base)]
     lc = LineCollection(segments, cmap=cmap)
     lc.set_array(np.asarray([target(t) for t in trials] + [0]))
-    axcb = fig.colorbar(lc, pad=0.1)
+    axcb = fig.colorbar(lc, pad=0.1, ax=fig.gca())
+
     axcb.set_label(target_name)
     plt.xticks(range(len(sorted_params) + 1), var_names, rotation=330)
 

docs/source/release_notes.rst

@@ -2,11 +2,19 @@
 Release Notes
 =============
 
+2.6.8
+-----
+Release date: October 29, 2022
+
+* Fixed a bug in ``ads.dataset.helper`` to support Python 3.8 and Python 3.9.
+
+
 2.6.7
 -----
 Release date: October 27, 2022
 
 * Fixed a bug in ``PyTorchModel``. The ``score.py`` failed when ``torch.Tensor`` was used as input data.
+* Fixed a bug in ``ads opctl conda publish`` command.
 * Added support for flexible shapes for Data Flow Jobs.
 * Loading a model from Model Catalog (``GenericModel.from_model_catalog()``) and Model Deployment (``GenericModel.from_model_deployment()``) no longer requires a model file name.
 * Switched from using ``cx_Oracle`` interface to the ``oracledb`` driver to connect to Oracle Databases.