release 0.0.2 (#5)

Co-authored-by: TANG ZHIXIONG <[email protected]>

.appveyor.yml

@@ -21,7 +21,7 @@ build_script:
 - ps: |
     python -m build -s
     cd dist
-    python -m pip install --verbose concave_hull-0.0.1.tar.gz
+    python -m pip install --verbose concave_hull-0.0.2.tar.gz
     cd ..
 test_script:
 - ps: python -m pytest

conda.recipe/meta.yaml

@@ -1,6 +1,6 @@
 package:
   name: concave_hull
-  version: 0.0.1
+  version: 0.0.2
 
 source:
   path: ..
@@ -35,5 +35,5 @@ test:
     - python -m pytest
 
 about:
-  summary: C++/pybind11/NumPy implementation of the Ramer-Douglas-Peucker algorithm (Ramer 1972; Douglas and Peucker 1973) for 2D and 3D data.
+  summary: A very fast 2D concave hull algorithm
   license_file: LICENSE

docs/conf.py

@@ -60,9 +60,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.0.1'
+version = '0.0.2'
 # The full version, including alpha/beta/rc tags.
-release = '0.0.1'
+release = '0.0.2'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

setup.py

@@ -122,11 +122,11 @@ def build_extension(self, ext):
 # logic and declaration, and simpler if you include description/version in a file.
 setup(
     name="concave_hull",
-    version="0.0.1",
+    version="0.0.2",
     author="tzx",
     author_email="[email protected]",
     url="https://github.com/cubao/concave_hull",
-    description="C++/pybind11/NumPy implementation of the Ramer-Douglas-Peucker algorithm (Ramer 1972; Douglas and Peucker 1973) for 2D and 3D data.",
+    description="A very fast 2D concave hull algorithm",
     long_description=open("README.md", encoding="utf-8").read(),
     long_description_content_type="text/markdown",
     ext_modules=[CMakeExtension("concave_hull")],