Latest release: 3.1.0rc4

README.md

@@ -56,7 +56,7 @@ _Jupyter-CadQuery_ is now a 3 layer project:
 
 
 
-## Release v3.1.0rc3 (23.04.2022)
+## Release v3.1.0rc4 (23.04.2022)
 
 ### New features:
 
@@ -150,7 +150,7 @@ _Jupyter-CadQuery_ is now a 3 layer project:
      ```
    - Install _Jupyter-CadQuery_ (note, matplotlib is only used for the examples)
      ```bash
-     pip install jupyter-cadquery==3.1.0rc3 matplotlib
+     pip install jupyter-cadquery==3.1.0rc4 matplotlib
      ```
      Windows users should also install `pywin32` again with `conda` to ensure it is configured correctly
      ```bash
@@ -202,14 +202,14 @@ _Jupyter-CadQuery_ is now a 3 layer project:
      ```bash
      WORKDIR=/tmp/jupyter
      mkdir -p "$WORKDIR"  # this has to exist, otherwise an access error will be thrown
-     docker run -it --rm -v $WORKDIR:/home/cq -p 8888:8888 bwalter42/jupyter_cadquery:3.1.0rc3
+     docker run -it --rm -v $WORKDIR:/home/cq -p 8888:8888 bwalter42/jupyter_cadquery:3.1.0rc4
      ```
 
      Jupyter in the container will start in directory `/home/cq`
 
    - To start with examples, you can
 
-     - omit the volume mapping and just run `docker run -it --rm -p 8888:8888 bwalter42/jupyter_cadquery:3.1.0rc3` or
+     - omit the volume mapping and just run `docker run -it --rm -p 8888:8888 bwalter42/jupyter_cadquery:3.1.0rc4` or
      - copy the example notebooks to your `$WORKDIR`. They will be available for _Jupyter-CadQuery_ in the container.
 
    - If you want to change the Dockerfile, `make docker` will create a new docker image
@@ -219,7 +219,7 @@ _Jupyter-CadQuery_ is now a 3 layer project:
    - Start the browser based viewer (eventually add cli options, see notes below):
 
      ```bash
-     docker run -it --rm -p 8888:8888 --name jcq -p 5555:5555 bwalter42/jupyter_cadquery:3.1.0rc3 -v
+     docker run -it --rm -p 8888:8888 --name jcq -p 5555:5555 bwalter42/jupyter_cadquery:3.1.0rc4 -v
      ```
 
    - In your code import the `show` or `show_object` function from the viewer:

docker/Dockerfile

@@ -16,7 +16,7 @@ RUN mamba install -n cq -y -c conda-forge -c cadquery cadquery=master && \
     find / -type f -name '*.py[co]' -delete -o -type d -name __pycache__ -delete
 
 RUN . "/opt/conda/etc/profile.d/conda.sh" && conda activate cq && \
-    pip install jupyter-cadquery==3.1.0rc3 cadquery-massembly~=0.9 jupyterlab~=3.3 voila~=0.3 && \
+    pip install jupyter-cadquery==3.1.0rc4 cadquery-massembly~=0.9 jupyterlab~=3.3 voila~=0.3 && \
     find / -type f -name '*.py[co]' -delete -o -type d -name __pycache__ -delete
 
 VOLUME /home/cq/

environment.yml

@@ -8,4 +8,4 @@ dependencies:
   - cadquery=master
   - matplotlib=3.3
   - pip:
-      - jupyter-cadquery==3.1.0rc3
+      - jupyter-cadquery==3.1.0rc4

jupyter_cadquery/_version.py

@@ -26,5 +26,5 @@ def get_version(version):
     return VersionInfo(major, minor, patch, release, build)
 
 
-__version__ = "3.1.0rc3"  # DO NOT EDIT THIS DIRECTLY!  It is managed by bumpversion
+__version__ = "3.1.0rc4"  # DO NOT EDIT THIS DIRECTLY!  It is managed by bumpversion
 __version_info__ = get_version(__version__)

setup.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 3.1.0rc3
+current_version = 3.1.0rc4
 commit = False
 tag = False
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(?P<release>\D*)(?P<build>\d*)

setup.py

@@ -16,7 +16,7 @@
 
 setup_args = {
     "name": "jupyter_cadquery",
-    "version": "3.1.0rc3",
+    "version": "3.1.0rc4",
     "description": "An extension to render cadquery objects in JupyterLab via pythreejs",
     "long_description": LONG_DESCRIPTION,
     "include_package_data": True,