[v0.11] Vendor the Version package, use it instead of distutils

.github/workflows/ci.yaml

@@ -4,7 +4,7 @@ on:
   push:
     branches: [master, v0.11]
   pull_request:
-    branches: master
+    branches: [master, v0.11]
 
 env:
   NB_KERNEL: python

doc/requirements.txt

@@ -1,5 +1,5 @@
 sphinx==3.3.1
-sphinx_bootstrap_theme==0.7.1
+sphinx_bootstrap_theme==0.8.1
 numpydoc
 nbconvert
 ipykernel

licences/PACKAGING_LICENSE

@@ -0,0 +1,23 @@
+Copyright (c) Donald Stufft and individual contributors.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+    1. Redistributions of source code must retain the above copyright notice,
+       this list of conditions and the following disclaimer.
+
+    2. Redistributions in binary form must reproduce the above copyright
+       notice, this list of conditions and the following disclaimer in the
+       documentation and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

seaborn/_core.py

@@ -5,7 +5,6 @@
 from collections.abc import Iterable, Sequence, Mapping
 from numbers import Number
 from datetime import datetime
-from distutils.version import LooseVersion
 
 import numpy as np
 import pandas as pd
@@ -14,6 +13,7 @@
 from ._decorators import (
     share_init_params_with_map,
 )
+from .external.version import Version
 from .palettes import (
     QUAL_PALETTES,
     color_palette,
@@ -1162,7 +1162,7 @@ def _attach(self, obj, allowed_types=None, log_scale=None):
                         if scale is True:
                             set_scale("log")
                         else:
-                            if LooseVersion(mpl.__version__) >= "3.3":
+                            if Version(mpl.__version__) >= Version("3.3"):
                                 set_scale("log", base=scale)
                             else:
                                 set_scale("log", **{f"base{axis}": scale})

seaborn/_statistics.py

@@ -24,12 +24,12 @@
   class instantiation.
 
 """
-from distutils.version import LooseVersion
 from numbers import Number
 import numpy as np
 import scipy as sp
 from scipy import stats
 
+from .external.version import Version
 from .utils import _check_argument
 
 
@@ -129,7 +129,7 @@ def _fit(self, fit_data, weights=None):
         """Fit the scipy kde while adding bw_adjust logic and version check."""
         fit_kws = {"bw_method": self.bw_method}
         if weights is not None:
-            if LooseVersion(sp.__version__) < "1.2.0":
+            if Version(sp.__version__) < Version("1.2.0"):
                 msg = "Weighted KDE requires scipy >= 1.2.0"
                 raise RuntimeError(msg)
             fit_kws["weights"] = weights

seaborn/axisgrid.py

@@ -2,7 +2,6 @@
 from inspect import signature
 import warnings
 from textwrap import dedent
-from distutils.version import LooseVersion
 
 import numpy as np
 import pandas as pd
@@ -11,6 +10,7 @@
 
 from ._core import VectorPlotter, variable_type, categorical_order
 from . import utils
+from .external.version import Version
 from .utils import _check_argument, adjust_legend_subtitles, _draw_figure
 from .palettes import color_palette, blend_palette
 from ._decorators import _deprecate_positional_args
@@ -127,7 +127,7 @@ def add_legend(self, legend_data=None, title=None, label_order=None,
         blank_handle = mpl.patches.Patch(alpha=0, linewidth=0)
         handles = [legend_data.get(l, blank_handle) for l in label_order]
         title = self._hue_var if title is None else title
-        if LooseVersion(mpl.__version__) < LooseVersion("3.0"):
+        if Version(mpl.__version__) < Version("3.0"):
             try:
                 title_size = mpl.rcParams["axes.labelsize"] * .85
             except TypeError:  # labelsize is something like "large"

seaborn/categorical.py

@@ -9,10 +9,10 @@
 import matplotlib.patches as Patches
 import matplotlib.pyplot as plt
 import warnings
-from distutils.version import LooseVersion
 
 from ._core import variable_type, infer_orient, categorical_order
 from . import utils
+from .external.version import Version
 from .utils import remove_na
 from .algorithms import bootstrap
 from .palettes import color_palette, husl_palette, light_palette, dark_palette
@@ -378,7 +378,7 @@ def annotate_axes(self, ax):
         if self.hue_names is not None:
             leg = ax.legend(loc="best", title=self.hue_title)
             if self.hue_title is not None:
-                if LooseVersion(mpl.__version__) < "3.0":
+                if Version(mpl.__version__) < Version("3.0"):
                     # Old Matplotlib has no legend title size rcparam
                     try:
                         title_size = mpl.rcParams["axes.labelsize"] * .85